diff --git a/.badgery.yaml b/.badgery.yaml
deleted file mode 100644
index 99bcdc1c..00000000
--- a/.badgery.yaml
+++ /dev/null
@@ -1,72 +0,0 @@
-default_branch: master
-develop_branch: develop
-
-cards:
-  - group: Tests
-    type: gh_action
-    title: Code/package tests (GitHub)
-    file: test.yml
-    enabled: true
-  - group: Tests
-    type: gh_action
-    title: Tutorial tests (GitHub)
-    file: tutorial-tests.yml
-    enabled: true
-
-  - group: Tests
-    type: gh_action
-    title: Package tests (PyPI)
-    file: pypi-test.yml
-    enabled: true
-
-  - group: Code Quality
-    type: codefactor
-    title: Code quality (CodeFactor)
-    enabled: true
-
-  - group: Code Quality
-    type: radon_mi
-    title: Maintainability index (radon)
-    report: reports/{branch}/maintainability-index.json
-    enabled: true
-
-  - group: Code Quality
-    type: radon_cc
-    title: Cyclomatic complexity (radon)
-    report: reports/{branch}/cyclomatic-complexity.json
-    enabled: true
-
-  - group: Size
-    type: radon_loc
-    title: Source/Logical lines of code (radon)
-    report: reports/{branch}/raw-metrics.json
-    enabled: true
-
-  - group: Size
-    type: radon_ff
-    title: Functions/Files count (radon)
-    report: reports/{branch}/cyclomatic-complexity.json
-    enabled: true
-
-  - group: Coverage
-    type: codecov
-    title: Unit test coverage (Codecov)
-    flag: unittests
-    enabled: true
-
-  - group: Coverage
-    type: interrogate
-    title: Docstring coverage (interrogate)
-    report: reports/{branch}/coverage-docstring.txt
-    enabled: true
-  - group: Build & Release
-    type: gh_action
-    title: Publishing (PyPI)
-    workflow: pypi-publish.yml
-    enabled: true
-
-  - group: Build & Release
-    type: gh_action
-    title: Docs build/deployment
-    workflow: docs.yml
-    enabled: true
diff --git a/.codecov.yml b/.codecov.yml
index e17376e8..5cf1eedd 100644
--- a/.codecov.yml
+++ b/.codecov.yml
@@ -1,8 +1,8 @@
 github_checks:
-  annotations: true
+    annotations: true
 comment:
-  layout: 'reach, diff, flags, files'
+  layout: "reach, diff, flags, files"
   behavior: default
-  require_changes: false # if true: only post the comment if coverage changes
-  require_base: no # [yes :: must have a base report to post]
-  require_head: yes # [yes :: must have a head report to post]
+  require_changes: false  # if true: only post the comment if coverage changes
+  require_base: no        # [yes :: must have a base report to post]
+  require_head: yes       # [yes :: must have a head report to post]
\ No newline at end of file
diff --git a/.copier-answers.yml b/.copier-answers.yml
index 335c340b..a3add030 100644
--- a/.copier-answers.yml
+++ b/.copier-answers.yml
@@ -1,20 +1,12 @@
-# WARNING: Do not edit this file manually.
-# Any changes will be overwritten by Copier.
-_commit: v0.10.0
-_src_path: gh:easyscience/templates
-lib_docs_url: https://easyscience.github.io/core
-lib_doi: 10.5281/zenodo.18163581
-lib_package_name: easyscience
-lib_python_max: '3.13'
-lib_python_min: '3.11'
-lib_repo_name: core
-project_contact_email: support@easyscience.org
-project_copyright_years: 2021-2026
-project_extended_description: The foundation of the framework, providing reusable
-    building blocks for scientific libraries and applications aimed at making data
-    analysis easier
-project_name: EasyScience
-project_short_description: Core building blocks for EasyScience
-project_shortcut: ES
-project_type: lib
-template_type: lib
+# Changes here will be overwritten by Copier; NEVER EDIT MANUALLY
+_commit: 1b51781
+_src_path: gh:/EasyScience/EasyProjectTemplate
+description: Core foundation of the EasyScience family of projects, providing the
+    building blocks for libraries and applications
+max_python: '3.12'
+min_python: '3.8'
+orgname: EasyScience
+packagename: easyscience
+prettyname: Easyscience
+projectname: EasyScience
+year: 2024
diff --git a/.github/actions/download-artifact/action.yml b/.github/actions/download-artifact/action.yml
deleted file mode 100644
index e4fd62f5..00000000
--- a/.github/actions/download-artifact/action.yml
+++ /dev/null
@@ -1,50 +0,0 @@
-name: 'Download artifact'
-description: 'Generic wrapper for actions/download-artifact'
-inputs:
-  name:
-    description: 'Name of the artifact to download'
-    required: true
-
-  path:
-    description: 'Destination path'
-    required: false
-    default: '.'
-
-  pattern:
-    description: 'Glob pattern to match artifact names (optional)'
-    required: false
-    default: ''
-
-  merge-multiple:
-    description: 'Merge multiple artifacts into the same directory'
-    required: false
-    default: 'false'
-
-  github-token:
-    description: 'GitHub token for cross-repo download (optional)'
-    required: false
-    default: ''
-
-  repository:
-    description: 'owner/repo for cross-repo download (optional)'
-    required: false
-    default: ''
-
-  run-id:
-    description: 'Workflow run ID for cross-run download (optional)'
-    required: false
-    default: ''
-
-runs:
-  using: 'composite'
-  steps:
-    - name: Download artifact
-      uses: actions/download-artifact@v4
-      with:
-        name: ${{ inputs.name }}
-        path: ${{ inputs.path }}
-        pattern: ${{ inputs.pattern }}
-        merge-multiple: ${{ inputs.merge-multiple }}
-        github-token: ${{ inputs.github-token }}
-        repository: ${{ inputs.repository }}
-        run-id: ${{ inputs.run-id }}
diff --git a/.github/actions/github-script/action.yml b/.github/actions/github-script/action.yml
deleted file mode 100644
index ab32da56..00000000
--- a/.github/actions/github-script/action.yml
+++ /dev/null
@@ -1,19 +0,0 @@
-name: 'GitHub Script'
-description: 'Wrapper for actions/github-script'
-inputs:
-  script:
-    description: 'JavaScript to run'
-    required: true
-
-  github-token:
-    description: 'GitHub token (defaults to github.token)'
-    required: false
-    default: ${{ github.token }}
-
-runs:
-  using: 'composite'
-  steps:
-    - uses: actions/github-script@v8
-      with:
-        script: ${{ inputs.script }}
-        github-token: ${{ inputs.github-token }}
diff --git a/.github/actions/setup-easyscience-bot/action.yml b/.github/actions/setup-easyscience-bot/action.yml
deleted file mode 100644
index 4b28eaf8..00000000
--- a/.github/actions/setup-easyscience-bot/action.yml
+++ /dev/null
@@ -1,40 +0,0 @@
-name: 'Setup EasyScience bot for pushing'
-description: 'Create GitHub App token and configure git identity + origin remote'
-inputs:
-  app-id:
-    description: 'GitHub App ID'
-    required: true
-  private-key:
-    description: 'GitHub App private key (PEM)'
-    required: true
-  repositories:
-    description: 'Additional repositories to grant access to (newline-separated)'
-    required: false
-    default: ''
-
-outputs:
-  token:
-    description: 'Installation access token'
-    value: ${{ steps.app-token.outputs.token }}
-
-runs:
-  using: 'composite'
-  steps:
-    - name: Create GitHub App installation token
-      id: app-token
-      uses: actions/create-github-app-token@v2
-      with:
-        app-id: ${{ inputs.app-id }}
-        private-key: ${{ inputs.private-key }}
-        repositories: ${{ inputs.repositories }}
-
-    - name: Configure git for pushing
-      shell: bash
-      run: |
-        git config user.name "easyscience[bot]"
-        git config user.email "${{ inputs.app-id }}+easyscience[bot]@users.noreply.github.com"
-
-    - name: Configure origin remote to use the bot token
-      shell: bash
-      run: |
-        git remote set-url origin https://x-access-token:${{ steps.app-token.outputs.token }}@github.com/${{ github.repository }}.git
diff --git a/.github/actions/setup-pixi/action.yml b/.github/actions/setup-pixi/action.yml
index 167ee623..8c68f51e 100644
--- a/.github/actions/setup-pixi/action.yml
+++ b/.github/actions/setup-pixi/action.yml
@@ -4,21 +4,13 @@ inputs:
   environments:
     description: 'Pixi environments to setup'
     required: false
-    default: 'default'
+    default: 'dev'
   activate-environment:
     description: 'Environment to activate'
     required: false
-    default: 'default'
+    default: 'dev'
   run-install:
-    description: 'Whether to run pixi install'
-    required: false
-    default: 'true'
-  locked:
-    description: 'Whether to run pixi install --locked'
-    required: false
-    default: 'false'
-  frozen:
-    description: 'Whether to run pixi install --frozen'
+    description: 'Whether to run install'
     required: false
     default: 'true'
   cache:
@@ -33,12 +25,10 @@ inputs:
 runs:
   using: 'composite'
   steps:
-    - uses: prefix-dev/setup-pixi@v0.9.4
+    - uses: prefix-dev/setup-pixi@v0.9.0
       with:
         environments: ${{ inputs.environments }}
         activate-environment: ${{ inputs.activate-environment }}
         run-install: ${{ inputs.run-install }}
-        locked: ${{ inputs.locked }}
-        frozen: ${{ inputs.frozen }}
         cache: ${{ inputs.cache }}
-        post-cleanup: ${{ inputs.post-cleanup }}
+        post-cleanup: ${{ inputs.post-cleanup }}
\ No newline at end of file
diff --git a/.github/actions/upload-artifact/action.yml b/.github/actions/upload-artifact/action.yml
deleted file mode 100644
index 825ac396..00000000
--- a/.github/actions/upload-artifact/action.yml
+++ /dev/null
@@ -1,49 +0,0 @@
-name: 'Upload artifact'
-description: 'Generic wrapper for actions/upload-artifact'
-inputs:
-  name:
-    description: 'Artifact name'
-    required: true
-
-  path:
-    description: 'File(s)/dir(s)/glob(s) to upload (newline-separated)'
-    required: true
-
-  include-hidden-files:
-    description: 'Include hidden files'
-    required: false
-    default: 'true'
-
-  if-no-files-found:
-    description: 'warn | error | ignore'
-    required: false
-    default: 'error'
-
-  compression-level:
-    description: '0-9 (0 = no compression)'
-    required: false
-    default: '0'
-
-  retention-days:
-    description: 'Retention in days (optional)'
-    required: false
-    default: ''
-
-  overwrite:
-    description: 'Overwrite an existing artifact with the same name'
-    required: false
-    default: 'false'
-
-runs:
-  using: 'composite'
-  steps:
-    - name: Upload artifact
-      uses: actions/upload-artifact@v4
-      with:
-        name: ${{ inputs.name }}
-        path: ${{ inputs.path }}
-        include-hidden-files: ${{ inputs.include-hidden-files }}
-        if-no-files-found: ${{ inputs.if-no-files-found }}
-        compression-level: ${{ inputs.compression-level }}
-        retention-days: ${{ inputs.retention-days }}
-        overwrite: ${{ inputs.overwrite }}
diff --git a/.github/actions/upload-codecov/action.yml b/.github/actions/upload-codecov/action.yml
deleted file mode 100644
index 37d6298a..00000000
--- a/.github/actions/upload-codecov/action.yml
+++ /dev/null
@@ -1,42 +0,0 @@
-name: 'Upload coverage to Codecov'
-description: 'Generic wrapper for codecov/codecov-action@v5'
-
-inputs:
-  name:
-    description: 'Codecov upload name'
-    required: true
-
-  flags:
-    description: 'Codecov flags'
-    required: false
-    default: ''
-
-  files:
-    description: 'Coverage report files'
-    required: true
-
-  fail_ci_if_error:
-    description: 'Fail CI if upload fails'
-    required: false
-    default: 'true'
-
-  verbose:
-    description: 'Enable verbose output'
-    required: false
-    default: 'true'
-
-  token:
-    description: 'Codecov token'
-    required: true
-
-runs:
-  using: composite
-  steps:
-    - uses: codecov/codecov-action@v5
-      with:
-        name: ${{ inputs.name }}
-        flags: ${{ inputs.flags }}
-        files: ${{ inputs.files }}
-        fail_ci_if_error: ${{ inputs.fail_ci_if_error }}
-        verbose: ${{ inputs.verbose }}
-        token: ${{ inputs.token }}
diff --git a/.github/configs/pages-deployment.json b/.github/configs/pages-deployment.json
deleted file mode 100644
index c0d3fbee..00000000
--- a/.github/configs/pages-deployment.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "source": {
-    "branch": "gh-pages",
-    "path": "/"
-  }
-}
diff --git a/.github/configs/rulesets-develop.json b/.github/configs/rulesets-develop.json
deleted file mode 100644
index 04489e52..00000000
--- a/.github/configs/rulesets-develop.json
+++ /dev/null
@@ -1,37 +0,0 @@
-{
-  "name": "develop branch",
-  "target": "branch",
-  "enforcement": "active",
-  "conditions": {
-    "ref_name": {
-      "include": ["refs/heads/develop"],
-      "exclude": []
-    }
-  },
-  "bypass_actors": [
-    {
-      "actor_id": 2476259,
-      "actor_type": "Integration",
-      "bypass_mode": "always"
-    }
-  ],
-  "rules": [
-    {
-      "type": "non_fast_forward"
-    },
-    {
-      "type": "deletion"
-    },
-    {
-      "type": "pull_request",
-      "parameters": {
-        "allowed_merge_methods": ["squash"],
-        "dismiss_stale_reviews_on_push": false,
-        "require_code_owner_review": false,
-        "require_last_push_approval": false,
-        "required_approving_review_count": 0,
-        "required_review_thread_resolution": false
-      }
-    }
-  ]
-}
diff --git a/.github/configs/rulesets-gh-pages.json b/.github/configs/rulesets-gh-pages.json
deleted file mode 100644
index ebf38928..00000000
--- a/.github/configs/rulesets-gh-pages.json
+++ /dev/null
@@ -1,19 +0,0 @@
-{
-  "name": "gh-pages branch",
-  "target": "branch",
-  "enforcement": "active",
-  "conditions": {
-    "ref_name": {
-      "include": ["refs/heads/gh-pages"],
-      "exclude": []
-    }
-  },
-  "rules": [
-    {
-      "type": "non_fast_forward"
-    },
-    {
-      "type": "deletion"
-    }
-  ]
-}
diff --git a/.github/configs/rulesets-master.json b/.github/configs/rulesets-master.json
deleted file mode 100644
index f658a5c6..00000000
--- a/.github/configs/rulesets-master.json
+++ /dev/null
@@ -1,30 +0,0 @@
-{
-  "name": "master branch",
-  "target": "branch",
-  "enforcement": "active",
-  "conditions": {
-    "ref_name": {
-      "include": ["~DEFAULT_BRANCH"],
-      "exclude": []
-    }
-  },
-  "rules": [
-    {
-      "type": "non_fast_forward"
-    },
-    {
-      "type": "deletion"
-    },
-    {
-      "type": "pull_request",
-      "parameters": {
-        "allowed_merge_methods": ["merge"],
-        "dismiss_stale_reviews_on_push": false,
-        "require_code_owner_review": false,
-        "require_last_push_approval": false,
-        "required_approving_review_count": 0,
-        "required_review_thread_resolution": false
-      }
-    }
-  ]
-}
diff --git a/.github/release-drafter.yml b/.github/release-drafter.yml
new file mode 100644
index 00000000..a95ea8fc
--- /dev/null
+++ b/.github/release-drafter.yml
@@ -0,0 +1,32 @@
+# https://github.com/marketplace/actions/release-drafter
+name-template: v$NEXT_PATCH_VERSION 🌈
+tag-template: v$NEXT_PATCH_VERSION
+categories:
+- title: 🚀 Features
+  labels:
+  - feature
+  - enhancement
+- title: 🐛 Bug Fixes
+  labels:
+  - fix
+  - bugfix
+  - bug
+- title: 🧰 Maintenance
+  labels:
+  - chore
+  - documentation
+change-template: '- $TITLE @$AUTHOR (#$NUMBER)'
+version-resolver:
+  major:
+    labels:
+    - major
+  minor:
+    labels:
+    - minor
+  patch:
+    labels:
+    - patch
+  default: patch
+template: |
+  ## Changes
+  $CHANGES
diff --git a/.github/scripts/backmerge-conflict-issue.js b/.github/scripts/backmerge-conflict-issue.js
deleted file mode 100644
index f6bd98b5..00000000
--- a/.github/scripts/backmerge-conflict-issue.js
+++ /dev/null
@@ -1,69 +0,0 @@
-module.exports = async ({ github, context, core }) => {
-  // Repo context
-  const owner = context.repo.owner
-  const repo = context.repo.repo
-
-  // Link to the exact workflow run that detected the conflict
-  const runUrl = `${context.serverUrl}/${owner}/${repo}/actions/runs/${context.runId}`
-
-  // We use a *stable title* so we can find/reuse the same "conflict tracker" issue
-  // instead of creating a new issue on every failed run.
-  const title = 'Backmerge conflict: master → develop'
-
-  // Comment/issue body includes the run URL so maintainers can jump straight to logs.
-  const body = [
-    'Automatic backmerge failed due to merge conflicts.',
-    '',
-    `Workflow run: ${runUrl}`,
-    '',
-    'Manual resolution required.',
-  ].join('\n')
-
-  // Label applied to the tracker issue (assumed to already exist in the repo).
-  const label = '[bot] backmerge'
-
-  // Search issues by title across *open and closed* issues.
-  // Why: if the conflict was resolved previously and the issue was closed,
-  // we prefer to reopen it and append a new comment instead of creating duplicates.
-  const q = `repo:${owner}/${repo} is:issue in:title "${title}"`
-  const search = await github.rest.search.issuesAndPullRequests({
-    q,
-    per_page: 10,
-  })
-
-  // Pick the first exact-title match (search can return partial matches).
-  const existing = search.data.items.find((i) => i.title === title)
-
-  if (existing) {
-    // If a tracker issue exists, reuse it:
-    // - reopen it if needed
-    // - add a comment with the new run URL
-    if (existing.state === 'closed') {
-      await github.rest.issues.update({
-        owner,
-        repo,
-        issue_number: existing.number,
-        state: 'open',
-      })
-    }
-
-    await github.rest.issues.createComment({
-      owner,
-      repo,
-      issue_number: existing.number,
-      body,
-    })
-
-    core.notice(`Conflict issue updated: #${existing.number}`)
-    return
-  }
-
-  // No tracker issue exists yet -> create the first one.
-  await github.rest.issues.create({
-    owner,
-    repo,
-    title,
-    body,
-    labels: [label],
-  })
-}
diff --git a/.github/workflows/backmerge.yml b/.github/workflows/backmerge.yml
deleted file mode 100644
index 47b3384a..00000000
--- a/.github/workflows/backmerge.yml
+++ /dev/null
@@ -1,109 +0,0 @@
-# This workflow automatically merges `master` into `develop` whenever a
-# new version release with a tag is published. It can also be triggered
-# manually via workflow_dispatch for cases where an automatic backmerge
-# is needed outside of the standard release process.
-# If a merge conflict occurs, the workflow creates an issue to notify
-# maintainers for manual resolution.
-
-name: Backmerge (master → develop)
-
-on:
-  release:
-    types: [published, prereleased]
-  workflow_dispatch:
-
-permissions:
-  contents: write
-  issues: write
-
-concurrency:
-  group: backmerge-master-into-develop
-  cancel-in-progress: false
-
-jobs:
-  backmerge:
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-
-    steps:
-      - name: Checkout repository (for local actions)
-        uses: actions/checkout@v5
-
-      - name: Setup easyscience[bot]
-        id: bot
-        uses: ./.github/actions/setup-easyscience-bot
-        with:
-          app-id: ${{ vars.EASYSCIENCE_APP_ID }}
-          private-key: ${{ secrets.EASYSCIENCE_APP_KEY }}
-          repositories: ${{ github.event.repository.name }}
-
-      - name: Checkout repository (with bot token)
-        uses: actions/checkout@v5
-        with:
-          fetch-depth: 0
-          token: ${{ steps.bot.outputs.token }}
-
-      - name: Configure git identity
-        run: |
-          git config user.name "easyscience[bot]"
-          git config user.email "${{ vars.EASYSCIENCE_APP_ID }}+easyscience[bot]@users.noreply.github.com"
-
-      - name: Set merge message
-        run: |
-          if [[ "${{ github.event_name }}" == "workflow_dispatch" ]]; then
-            MESSAGE="Backmerge: master into develop (manual) [skip ci]"
-          else
-            TAG="${{ github.event.release.tag_name }}"
-            MESSAGE="Backmerge: master (${TAG}) into develop [skip ci]"
-          fi
-
-          echo "MESSAGE=$MESSAGE" >> "$GITHUB_ENV"
-          echo "message=$MESSAGE" >> "$GITHUB_OUTPUT"
-          echo "📝 Merge message: $MESSAGE" | tee -a "$GITHUB_STEP_SUMMARY"
-
-      - name: Prepare branches
-        run: |
-          git fetch origin master develop
-          git checkout -B develop origin/develop
-
-      - name: Check if develop is already up-to-date
-        id: up_to_date
-        run: |
-          if git merge-base --is-ancestor origin/master develop; then
-            echo "value=true" >> "$GITHUB_OUTPUT"
-            echo "ℹ️ Develop is already up-to-date with master" | tee -a "$GITHUB_STEP_SUMMARY"
-          else
-            echo "value=false" >> "$GITHUB_OUTPUT"
-          fi
-
-      - name: Try merge master into develop
-        id: merge
-        if: steps.up_to_date.outputs.value == 'false'
-        continue-on-error: true
-        run: |
-          if ! git merge origin/master --no-ff -m "${MESSAGE}"; then
-            echo "conflict=true" >> "$GITHUB_OUTPUT"
-            echo "❌ Backmerge conflict detected." | tee -a "$GITHUB_STEP_SUMMARY"
-            git status --porcelain || true
-            exit 0
-          fi
-
-          echo "conflict=false" >> "$GITHUB_OUTPUT"
-          echo "✅ Merge commit created." | tee -a "$GITHUB_STEP_SUMMARY"
-
-      - name: Push to develop (if merge succeeded)
-        if:
-          steps.up_to_date.outputs.value == 'false' && steps.merge.outputs.conflict ==
-          'false'
-        run: |
-          git push origin develop
-          echo "🚀 Backmerge successful: master → develop" | tee -a "$GITHUB_STEP_SUMMARY"
-
-      - name: Create issue (if merge failed with conflicts)
-        if: steps.merge.outputs.conflict == 'true'
-        uses: ./.github/actions/github-script
-        with:
-          github-token: ${{ steps.bot.outputs.token }}
-          script: |
-            const run = require('./.github/scripts/backmerge-conflict-issue.js')
-            await run({ github, context, core })
diff --git a/.github/workflows/cleanup.yml b/.github/workflows/cleanup.yml
deleted file mode 100644
index 7305679b..00000000
--- a/.github/workflows/cleanup.yml
+++ /dev/null
@@ -1,84 +0,0 @@
-# This workflow will delete old workflow runs based on the input
-# parameters.
-# https://github.com/Mattraks/delete-workflow-runs
-
-name: Old workflow runs cleanup
-
-on:
-  # Run monthly, at 00:00 on the 1st day of month.
-  schedule:
-    - cron: '0 0 1 * *'
-
-  # Allows you to run this workflow manually from the Actions tab
-  workflow_dispatch:
-    inputs:
-      days:
-        description: 'Number of days.'
-        required: true
-        default: 30
-      minimum_runs:
-        description: 'The minimum runs to keep for each workflow.'
-        required: true
-        default: 6
-      delete_workflow_pattern:
-        description:
-          'The name or filename of the workflow. if not set then it will target all
-          workflows.'
-        required: false
-      delete_workflow_by_state_pattern:
-        description:
-          'Remove workflow by state: active, deleted, disabled_fork,
-          disabled_inactivity, disabled_manually'
-        required: true
-        default: 'All'
-        type: choice
-        options:
-          - 'All'
-          - active
-          - deleted
-          - disabled_inactivity
-          - disabled_manually
-      delete_run_by_conclusion_pattern:
-        description:
-          'Remove workflow by conclusion: action_required, cancelled, failure, skipped,
-          success'
-        required: true
-        default: 'All'
-        type: choice
-        options:
-          - 'All'
-          - action_required
-          - cancelled
-          - failure
-          - skipped
-          - success
-      dry_run:
-        description: 'Only log actions, do not perform any delete operations (dry run).'
-        required: false
-        default: 'false'
-        type: choice
-        options:
-          - 'false'
-          - 'true'
-
-jobs:
-  del-runs:
-    runs-on: ubuntu-latest
-
-    permissions:
-      actions: write
-
-    steps:
-      - name: Delete workflow runs
-        uses: Mattraks/delete-workflow-runs@v2
-        with:
-          token: ${{ github.token }}
-          repository: ${{ github.repository }}
-          retain_days: ${{ github.event.inputs.days }}
-          keep_minimum_runs: ${{ github.event.inputs.minimum_runs }}
-          delete_workflow_pattern: ${{ github.event.inputs.delete_workflow_pattern }}
-          delete_workflow_by_state_pattern:
-            ${{ github.event.inputs.delete_workflow_by_state_pattern }}
-          delete_run_by_conclusion_pattern:
-            ${{ github.event.inputs.delete_run_by_conclusion_pattern }}
-          dry_run: ${{ github.event.inputs.dry_run }}
diff --git a/.github/workflows/codeql-analysis.yml b/.github/workflows/codeql-analysis.yml
new file mode 100644
index 00000000..bcd75a1a
--- /dev/null
+++ b/.github/workflows/codeql-analysis.yml
@@ -0,0 +1,68 @@
+# This pipeline
+
+name: "CodeQL"
+
+on:
+  push:
+    branches: [ master, develop ]
+  pull_request:
+    # The branches below must be a subset of the branches above
+    branches: [ master ]
+  schedule:
+    - cron: '0 16 * * 5'
+
+jobs:
+  analyze:
+    name: Analyze
+    runs-on: ubuntu-latest
+
+    strategy:
+      fail-fast: false
+      matrix:
+        # Override automatic language detection by changing the below list
+        # Supported options are ['csharp', 'cpp', 'go', 'java', 'javascript', 'python']
+        language: ['python']
+        # Learn more...
+        # https://docs.github.com/en/github/finding-security-vulnerabilities-and-errors-in-your-code/configuring-code-scanning#overriding-automatic-language-detection
+
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v5
+      with:
+        # We must fetch at least the immediate parents so that if this is
+        # a pull request then we can checkout the head.
+        fetch-depth: 2
+
+    # If this run was triggered by a pull request event, then checkout
+    # the head of the pull request instead of the merge commit.
+    - run: git checkout HEAD^2
+      if: ${{ github.event_name == 'pull_request' }}
+
+    # Initializes the CodeQL tools for scanning.
+    - name: Initialize CodeQL
+      uses: github/codeql-action/init@v3
+      with:
+        languages: ${{ matrix.language }}
+        # If you wish to specify custom queries, you can do so here or in a config file.
+        # By default, queries listed here will override any specified in a config file.
+        # Prefix the list here with "+" to use these queries and those in the config file.
+        # queries: ./path/to/local/query, your-org/your-repo/queries@main
+
+    # Autobuild attempts to build any compiled languages  (C/C++, C#, or Java).
+    # If this step fails, then you should remove it and run the build manually (see below)
+    - name: Autobuild
+      uses: github/codeql-action/autobuild@v3
+
+    # ℹ️ Command-line programs to run using the OS shell.
+    # 📚 https://git.io/JvXDl
+
+    # ✏️ If the Autobuild fails above, remove it and uncomment the following three lines
+    #    and modify them (or add more) to build your code if your project
+    #    uses a compiled language
+
+    #- run: |
+    #   make bootstrap
+    #   make release
+
+    - name: Perform CodeQL Analysis
+      uses: github/codeql-action/analyze@v3
\ No newline at end of file
diff --git a/.github/workflows/coverage.yml b/.github/workflows/coverage.yml
deleted file mode 100644
index cd9ff1e0..00000000
--- a/.github/workflows/coverage.yml
+++ /dev/null
@@ -1,94 +0,0 @@
-name: Coverage checks
-
-on:
-  # Trigger the workflow on push
-  push:
-    # Do not run on version tags (those are handled by other workflows)
-    tags-ignore: ['v*']
-  # Trigger the workflow on pull request
-  pull_request:
-  # Allows you to run this workflow manually from the Actions tab
-  workflow_dispatch:
-
-# Need permissions to trigger the dashboard build workflow
-permissions:
-  actions: write
-  contents: read
-
-# Allow only one concurrent workflow, skipping runs queued between the run
-# in-progress and latest queued. And cancel in-progress runs.
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
-  cancel-in-progress: true
-
-# Set the environment variables to be used in all jobs defined in this workflow
-env:
-  CI_BRANCH: ${{ github.head_ref || github.ref_name }}
-
-jobs:
-  # Job 1: Run docstring coverage
-  docstring-coverage:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Check-out repository
-        uses: actions/checkout@v5
-
-      - name: Set up pixi
-        uses: ./.github/actions/setup-pixi
-
-      - name: Run docstring coverage
-        run: pixi run docstring-coverage
-
-  # Job 2: Run unit tests with coverage and upload to Codecov
-  unit-tests-coverage:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Check-out repository
-        uses: actions/checkout@v5
-
-      - name: Set up pixi
-        uses: ./.github/actions/setup-pixi
-
-      - name: Run unit tests with coverage
-        run: pixi run unit-tests-coverage --cov-report=xml:coverage-unit.xml
-
-      - name: Upload unit tests coverage to Codecov
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/upload-codecov
-        with:
-          name: unit-tests-job
-          flags: unittests
-          files: ./coverage-unit.xml
-          token: ${{ secrets.CODECOV_TOKEN }}
-
-  # Job 2: Run integration tests with coverage and upload to Codecov
-  integration-tests-coverage:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Check-out repository
-        uses: actions/checkout@v5
-
-      - name: Set up pixi
-        uses: ./.github/actions/setup-pixi
-
-      - name: Run integration tests with coverage
-        run:
-          pixi run integration-tests-coverage --cov-report=xml:coverage-integration.xml
-
-      - name: Upload integration tests coverage to Codecov
-        if: ${{ !cancelled() }}
-        uses: ./.github/actions/upload-codecov
-        with:
-          name: integration-tests-job
-          flags: integration
-          files: ./coverage-integration.xml
-          token: ${{ secrets.CODECOV_TOKEN }}
-
-  # Job 4: Build and publish dashboard (reusable workflow)
-  run-reusable-workflows:
-    needs: [docstring-coverage, unit-tests-coverage, integration-tests-coverage] # depend on the previous jobs
-    uses: ./.github/workflows/dashboard.yml
-    secrets: inherit
diff --git a/.github/workflows/dashboard.yml b/.github/workflows/dashboard.yml
deleted file mode 100644
index 5159f71b..00000000
--- a/.github/workflows/dashboard.yml
+++ /dev/null
@@ -1,104 +0,0 @@
-name: Dashboard build and publish
-
-on:
-  workflow_dispatch:
-  workflow_call:
-
-permissions:
-  contents: read
-
-# Set the environment variables to be used in all jobs defined in this workflow
-env:
-  CI_BRANCH: ${{ github.head_ref || github.ref_name }}
-  DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
-  DEVELOP_BRANCH: develop
-  REPO_OWNER: ${{ github.repository_owner }}
-  REPO_NAME: ${{ github.event.repository.name }}
-
-jobs:
-  dashboard:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v5
-        with:
-          fetch-depth: 0
-
-      - name: Set up pixi
-        uses: ./.github/actions/setup-pixi
-
-      - name: Install badgery
-        shell: bash
-        run: pixi add --pypi --git https://github.com/enhantica/badgery badgery
-
-      - name: Run docstring coverage and code complexity/maintainability checks
-        run: |
-          for BRANCH in $DEFAULT_BRANCH $DEVELOP_BRANCH $CI_BRANCH; do
-            echo
-            echo "🔹🔸🔹🔸🔹 Processing branch $BRANCH 🔹🔸🔹🔸🔹"
-            if [ -d "../$BRANCH" ]; then
-              echo "Branch $BRANCH already processed, skipping"
-              continue
-            fi
-
-            git worktree add ../$BRANCH origin/$BRANCH
-            mkdir -p reports/$BRANCH
-
-            echo "Docstring coverage for branch $BRANCH"
-            pixi run interrogate -c pyproject.toml --fail-under=0 ../$BRANCH/src > reports/$BRANCH/coverage-docstring.txt
-
-            echo "Cyclomatic complexity for branch $BRANCH"
-            pixi run radon cc -s -j ../$BRANCH/src > reports/$BRANCH/cyclomatic-complexity.json
-
-            echo "Maintainability index for branch $BRANCH"
-            pixi run radon mi -j ../$BRANCH/src > reports/$BRANCH/maintainability-index.json
-
-            echo "Raw metrics for branch $BRANCH"
-            pixi run radon raw -s -j ../$BRANCH/src > reports/$BRANCH/raw-metrics.json
-          done
-
-      - name: Generate dashboard HTML
-        run: >
-          pixi run python -m badgery --config .badgery.yaml --repo ${{ github.repository
-          }} --branch ${{ env.CI_BRANCH }} --output index.html
-
-      - name: Prepare publish directory
-        run: |
-          mkdir -p _dashboard_publish/${{ env.REPO_NAME }}/${{ env.CI_BRANCH }}
-          cp index.html _dashboard_publish/${{ env.REPO_NAME }}/${{ env.CI_BRANCH }}
-
-      # Create GitHub App token for pushing to external dashboard repo.
-      # The 'repositories' parameter is required to grant access to repos
-      # other than the one where the workflow is running.
-      - name: Setup easyscience[bot]
-        id: bot
-        uses: ./.github/actions/setup-easyscience-bot
-        with:
-          app-id: ${{ vars.EASYSCIENCE_APP_ID }}
-          private-key: ${{ secrets.EASYSCIENCE_APP_KEY }}
-          repositories: |
-            ${{ github.event.repository.name }}
-            dashboard
-
-      # Publish to external dashboard repository with retry logic.
-      # Retry is needed to handle transient GitHub API/authentication issues
-      # that occasionally cause 403 errors when multiple workflows push concurrently.
-      # Uses personal_token (not github_token) as GITHUB_TOKEN cannot access external repos.
-      - name: Publish to main branch of ${{ github.repository }}
-        uses: Wandalen/wretry.action@v3.8.0
-        with:
-          attempt_limit: 3
-          attempt_delay: 15000 # 15 seconds between retries
-          action: peaceiris/actions-gh-pages@v4
-          with: |
-            publish_dir: ./_dashboard_publish
-            keep_files: true
-            external_repository: ${{ env.REPO_OWNER }}/dashboard
-            publish_branch: master
-            personal_token: ${{ steps.bot.outputs.token }}
-
-      - name: Add dashboard link to summary
-        run: |
-          URL="https://${{ env.REPO_OWNER }}.github.io/dashboard/${{ env.REPO_NAME }}/${{ env.CI_BRANCH }}"
-          echo "Dashboard link: [$URL]($URL)" >> $GITHUB_STEP_SUMMARY
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
deleted file mode 100644
index c23c2c8c..00000000
--- a/.github/workflows/docs.yml
+++ /dev/null
@@ -1,184 +0,0 @@
-# This workflow builds and deploys documentation for the project.
-#
-# Overview:
-#  - Converts tutorial Python scripts to Jupyter notebooks and executes them.
-#  - Builds the documentation site using MkDocs with the Material theme.
-#  - Uploads the built site as an artifact for local inspection.
-#  - Deploys versioned documentation to the gh-pages branch using Mike:
-#    - For release tags (v*): deploys to a versioned folder (e.g., /0.9.1/) and updates /latest/.
-#    - For branches: deploys to /dev/.
-#
-# The action summary page will contain a link to the built artifact for downloading
-# and inspecting, as well as a link to the deployed documentation site.
-
-name: Docs build and deployment
-
-on:
-  # Trigger the workflow on push
-  push:
-    # Selected branches
-    branches: [develop] # master and main are already verified in PR
-    # Runs on creating a new tag starting with 'v', e.g. 'v1.0.3'
-    tags: ['v*']
-  # Trigger the workflow on pull request
-  pull_request:
-    # Selected branches
-    branches: [master, main, develop]
-  # Allows you to run this workflow manually from the Actions tab
-  workflow_dispatch:
-
-# Allow only one concurrent deployment to gh-pages at a time.
-# All docs workflows share the same concurrency group to prevent race conditions
-# when multiple branches/tags trigger simultaneous deployments.
-concurrency:
-  group: docs-gh-pages-deploy
-  cancel-in-progress: false
-
-# Set the environment variables to be used in all jobs defined in this workflow
-env:
-  # CI_BRANCH - the branch name (used in mkdocs.yml)
-  # For PRs: github.head_ref is the source branch
-  # For pushes: github.ref_name is the branch
-  # For tags: github.ref_name is the tag name
-  # GITHUB_REPOSITORY - the repository name (used in mkdocs.yml)
-  # NOTEBOOKS_DIR - the directory containing the Jupyter notebooks (used in mkdocs.yml)
-  DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
-  DEVELOP_BRANCH: develop
-  CI_BRANCH: ${{ github.head_ref || github.ref_name }}
-  IS_RELEASE_TAG: ${{ startsWith(github.ref, 'refs/tags/v') }}
-  GITHUB_REPOSITORY: ${{ github.repository }}
-  NOTEBOOKS_DIR: tutorials
-
-jobs:
-  # Single job that builds and deploys documentation.
-  # Uses macOS runner for consistent Plotly chart rendering.
-  build-deploy-docs:
-    runs-on: ubuntu-latest # macos-latest
-
-    permissions:
-      contents: write # Required for pushing to the gh-pages branch
-
-    steps:
-      # Setting DOCS_VERSION to be used in mkdocs.yml, and then in the
-      # main.html template. It defines the versioned docs subfolder name
-      # in the gh-pages branch. If it's a release tag, use the version
-      # number without the 'v' prefix, otherwise use 'dev'.
-      # Setting RELEASE_VERSION to be used in mkdocs.yml to show
-      # the latest release version in the index.md file. If it's a
-      # release tag, use the tag name, otherwise use the branch name
-      # for development builds.
-      - name: Set extra env variables
-        shell: bash
-        run: |
-          if [[ "${IS_RELEASE_TAG}" == "true" ]]; then
-            RELEASE_VERSION="${GITHUB_REF_NAME}"
-            DOCS_VERSION="${RELEASE_VERSION#v}"
-          else
-            RELEASE_VERSION="${CI_BRANCH}"
-            DOCS_VERSION="dev"
-          fi
-          echo "RELEASE_VERSION=${RELEASE_VERSION}" >> "$GITHUB_ENV"
-          echo "DOCS_VERSION=${DOCS_VERSION}" >> "$GITHUB_ENV"
-
-      # Check out the repository source code.
-      # Note: The gh-pages branch is fetched separately later for mike deployment.
-      - name: Checkout repository
-        uses: actions/checkout@v5
-
-      # Activate dark mode to create documentation with Plotly charts in dark mode
-      # Need a better solution to automatically switch the chart colour theme based on the mkdocs material switcher
-      # Something similar to mkdocs_plotly_plugin https://haoda-li.github.io/mkdocs-plotly-plugin/,
-      # but for generating documentation from notepads
-      #- name: Activate dark mode
-      #  run: |
-      #    brew install dark-mode
-      #    dark-mode status
-      #    dark-mode on
-      #    dark-mode status
-
-      # Set up the pixi package manager and install dependencies from pixi.toml.
-      # Uses frozen lockfile to ensure reproducible builds.
-      - name: Set up pixi
-        uses: ./.github/actions/setup-pixi
-      # Pre-import the main package to exclude info messages from the docs
-      # E.g., Matplotlib may print messages to stdout/stderr when first
-      # imported. This step allows to avoid "Matplotlib is building the font
-      # cache" messages during notebook execution.
-      - name: Pre-build site step
-        run: pixi run python -c "import easyscience"
-
-      # Prepare the Jupyter notebooks for documentation (strip output, etc.).
-      - name: Prepare notebooks
-        run: pixi run notebook-prepare
-
-      # Execute all Jupyter notebooks to generate output cells (plots, tables, etc.).
-      # Uses multiple cores for parallel execution to speed up the process.
-      - name: Run notebooks
-        # if: false # Temporarily disabled to speed up the docs build
-        run: pixi run notebook-exec
-
-      # Build the static files for the documentation site for local inspection
-      # Input: docs/ directory containing the Markdown files
-      # Output: site/ directory containing the generated HTML files
-      - name: Build site for local check
-        run: pixi run docs-build-local
-
-      # Upload the static files from the site/ directory to be used for
-      # local check
-      - name: Upload built site as artifact
-        uses: ./.github/actions/upload-artifact
-        with:
-          name: site-local_easyscience-lib-${{ env.RELEASE_VERSION }}
-          path: docs/site/
-
-      # Create GitHub App token for pushing to gh-pages as easyscience[bot].
-      - name: Setup easyscience[bot]
-        id: bot
-        uses: ./.github/actions/setup-easyscience-bot
-        with:
-          app-id: ${{ vars.EASYSCIENCE_APP_ID }}
-          private-key: ${{ secrets.EASYSCIENCE_APP_KEY }}
-
-      # Configure git identity and remote URL so mike pushes as easyscience[bot].
-      - name: Configure git for pushing
-        run: |
-          set -euo pipefail
-          git config user.name "easyscience[bot]"
-          git config user.email "${{ vars.EASYSCIENCE_APP_ID }}+easyscience[bot]@users.noreply.github.com"
-          git remote set-url origin "https://x-access-token:${{ steps.bot.outputs.token }}@github.com/${{ github.repository }}.git"
-
-      # Fetch the gh-pages branch to ensure mike has the latest remote state.
-      # This is required because the checkout step only fetches the source branch,
-      # not the gh-pages branch that mike needs to update.
-      - name: Fetch gh-pages branch
-        run: |
-          git fetch origin gh-pages:gh-pages 2>/dev/null || true
-
-      # Deploy versioned documentation using mike (MkDocs plugin for versioning).
-      # - For release tags (v*): deploys to versioned folder (e.g., /0.9.1/) and aliases to /latest/.
-      # - For branches: deploys to /dev/.
-      # The "${RELEASE_VERSION#v}" syntax strips the 'v' prefix (v0.9.1 -> 0.9.1).
-      # Also sets 'latest' as the default version for the version selector.
-      - name: Rebuild and deploy docs with mike
-        run: |
-          # Exit on error (-e), undefined vars (-u), and pipeline failures (pipefail)
-          set -euo pipefail
-
-          REPO_NAME="${{ github.event.repository.name }}"
-          BASE_URL="https://easyscience.github.io/${REPO_NAME}"
-
-          # Deploy the release version and update the "latest" alias
-          if [[ "${IS_RELEASE_TAG}" == "true" ]]; then
-            pixi run docs-deploy-pre "${RELEASE_VERSION#v}" latest
-            pixi run docs-set-default-pre latest
-            DEPLOYMENT_URL="${BASE_URL}/latest"
-
-          # Deploy/update the "dev" alias (or whatever your convention is)
-          else
-            pixi run docs-deploy-pre dev
-            DEPLOYMENT_URL="${BASE_URL}/dev"
-
-          fi
-
-          # Add links to the action summary page for easy access
-          echo "🔗 deployment url [${DEPLOYMENT_URL}](${DEPLOYMENT_URL})" >> "${GITHUB_STEP_SUMMARY}"
diff --git a/.github/workflows/documentation-build.yml b/.github/workflows/documentation-build.yml
new file mode 100644
index 00000000..958a8dde
--- /dev/null
+++ b/.github/workflows/documentation-build.yml
@@ -0,0 +1,49 @@
+# This pipeline
+# - builds developer documentation using pixi
+# - pushes documentation to gh-pages branch of the same repository
+#
+# Deployment is handled by pages-build-deployment bot
+
+name: Build Documentation and Push to gh-pages Branch
+
+# Controls when the workflow will run
+on:
+  # Triggers the workflow on tag creation
+  push:
+    tags:
+      - 'v*'
+
+  # Allows you to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+permissions:
+  contents: write
+
+# A workflow run is made up of one or more jobs that can run sequentially or in parallel
+jobs:
+  # This workflow contains a single job called "build"
+  build_documentation:
+    runs-on: ubuntu-latest
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v5
+      with:
+        fetch-depth: 0 # otherwise, you will failed to push refs to dest repo
+        
+    - name: Setup Pixi
+      uses: prefix-dev/setup-pixi@v0.9.4
+
+    - name: Build documentation
+      run: pixi run --environment dev docs-build
+      
+    # - name: Build and Commit
+    #   uses: sphinx-notes/pages@master
+    #   with:
+    #     install_requirements: true
+    #     documentation_path: docs/src
+        
+    - name: Deploy to GitHub Pages
+      uses: peaceiris/actions-gh-pages@v3
+      with:
+        github_token: ${{ secrets.GITHUB_TOKEN }}
+        publish_dir: ./docs/_build/html
diff --git a/.github/workflows/issues-labels.yml b/.github/workflows/issues-labels.yml
deleted file mode 100644
index 3a60cdd7..00000000
--- a/.github/workflows/issues-labels.yml
+++ /dev/null
@@ -1,42 +0,0 @@
-# Verifies if an issue has at least one of the `[scope]` and one of the
-# `[priority]` labels. If not, the bot adds labels with a warning emoji
-# to indicate that those labels need to be added.
-
-name: Issue labels check
-
-on:
-  issues:
-    types: [opened, labeled, unlabeled]
-
-permissions:
-  issues: write
-
-jobs:
-  check-labels:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Setup easyscience[bot]
-        id: bot
-        uses: ./.github/actions/setup-easyscience-bot
-        with:
-          app-id: ${{ vars.EASYSCIENCE_APP_ID }}
-          private-key: ${{ secrets.EASYSCIENCE_APP_KEY }}
-
-      - name: Check for required [scope] label
-        uses: trstringer/require-label-prefix@v1
-        with:
-          secret: ${{ steps.bot.outputs.token }}
-          prefix: '[scope]'
-          labelSeparator: ' '
-          addLabel: true
-          defaultLabel: '[scope] ⚠️ label needed'
-
-      - name: Check for required [priority] label
-        uses: trstringer/require-label-prefix@v1
-        with:
-          secret: ${{ steps.bot.outputs.token }}
-          prefix: '[priority]'
-          labelSeparator: ' '
-          addLabel: true
-          defaultLabel: '[priority] ⚠️ label needed'
diff --git a/.github/workflows/lint-format.yml b/.github/workflows/lint-format.yml
deleted file mode 100644
index fc451d14..00000000
--- a/.github/workflows/lint-format.yml
+++ /dev/null
@@ -1,130 +0,0 @@
-# The workflow is divided into several steps:
-#   - Check the validity of pyproject.toml
-#   - Check code linting
-#   - Check code formatting
-#   - Check formatting of docstrings in the code
-#   - Check formatting of Markdown, YAML, TOML, etc. files
-
-name: Lint and format checks
-
-on:
-  # Trigger the workflow on push
-  push:
-    branches-ignore: [master, main] # Already verified in PR
-    # Do not run this workflow on creating a new tag starting with
-    # 'v', e.g. 'v1.0.3' (see publish-pypi.yml)
-    tags-ignore: ['v*']
-  # Trigger the workflow on pull request
-  pull_request:
-  # Allows you to run this workflow manually from the Actions tab
-  workflow_dispatch:
-
-# Allow only one concurrent workflow, skipping runs queued between the run
-# in-progress and latest queued. And cancel in-progress runs.
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
-  cancel-in-progress: true
-
-permissions:
-  contents: read
-
-# Set the environment variables to be used in all jobs defined in this workflow
-env:
-  CI_BRANCH: ${{ github.head_ref || github.ref_name }}
-
-jobs:
-  lint-format:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v5
-
-      - name: Set up pixi
-        uses: ./.github/actions/setup-pixi
-
-      - name: Run post-install developer steps
-        run: pixi run post-install
-
-      # Check the validity of pyproject.toml
-      - name: Check validity of pyproject.toml
-        id: check_pyproject
-        continue-on-error: true
-        shell: bash
-        run: pixi run pyproject-check
-
-      # Check the presence and correctness of SPDX license headers in
-      # the code files
-      - name: Check SPDX license headers
-        id: check_spdx_headers
-        continue-on-error: true
-        shell: bash
-        run: pixi run spdx-check
-
-      # Check code linting with Ruff in the project root
-      - name: Check code linting
-        id: check_code_linting
-        continue-on-error: true
-        shell: bash
-        run: pixi run py-lint-check
-
-      # Check code formatting with Ruff in the project root
-      - name: Check code formatting
-        id: check_code_formatting
-        continue-on-error: true
-        shell: bash
-        run: pixi run py-format-check
-
-      # Check formatting of docstrings in the code with docformatter
-      - name: Check formatting of docstrings in the code
-        id: check_docs_formatting
-        continue-on-error: true
-        shell: bash
-        run: pixi run docs-format-check
-
-      # Check formatting of MD, YAML, TOML, etc. files with Prettier in
-      # the project root
-      - name: Check formatting of MD, YAML, TOML, etc. files
-        id: check_others_formatting
-        continue-on-error: true
-        shell: bash
-        run: pixi run nonpy-format-check
-
-      # Check formatting of Jupyter Notebooks in the tutorials folder
-      - name: Prepare notebooks and check formatting
-        id: check_notebooks_formatting
-        continue-on-error: true
-        shell: bash
-        run: pixi run notebook-format-check
-
-      # Add summary
-      - name: Add quality checks summary
-        if: always()
-        shell: bash
-        run: |
-          {
-            echo "## 🧪 Checks Summary"
-            echo ""
-            echo "| Check | Status |"
-            echo "|-------|--------|"
-            echo "| pyproject.toml   | ${{ steps.check_pyproject.outcome == 'success' && '✅' || '❌' }} |"
-            echo "| SPDX headers     | ${{ steps.check_spdx_headers.outcome == 'success' && '✅' || '❌' }} |"
-            echo "| py lint          | ${{ steps.check_code_linting.outcome == 'success' && '✅' || '❌' }} |"
-            echo "| py format        | ${{ steps.check_code_formatting.outcome == 'success' && '✅' || '❌' }} |"
-            echo "| docstring format | ${{ steps.check_docs_formatting.outcome == 'success' && '✅' || '❌' }} |"
-            echo "| nonpy format     | ${{ steps.check_others_formatting.outcome == 'success' && '✅' || '❌' }} |"
-            echo "| notebooks format | ${{ steps.check_notebooks_formatting.outcome == 'success' && '✅' || '❌' }} |"
-          } >> "$GITHUB_STEP_SUMMARY"
-
-      # Fail job if any check failed
-      - name: Fail job if any check failed
-        if: |
-          steps.check_pyproject.outcome == 'failure'
-          || steps.check_spdx_headers.outcome == 'failure'
-          || steps.check_code_linting.outcome == 'failure'
-          || steps.check_code_formatting.outcome == 'failure'
-          || steps.check_docs_formatting.outcome == 'failure'
-          || steps.check_others_formatting.outcome == 'failure'
-          || steps.check_notebooks_formatting.outcome == 'failure'
-        shell: bash
-        run: exit 1
diff --git a/.github/workflows/nightly-check.yml b/.github/workflows/nightly-check.yml
new file mode 100644
index 00000000..f35a232c
--- /dev/null
+++ b/.github/workflows/nightly-check.yml
@@ -0,0 +1,24 @@
+# Nightly Check - install dependencies and run tests after pixi update-lock
+name: Nightly Check
+on:
+  schedule:
+    - cron: '0 0 * * *'  # Runs every day at midnight UTC
+  workflow_dispatch:
+
+jobs:
+  nightly-check:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v5
+
+    - name: Setup Pixi
+      uses: prefix-dev/setup-pixi@v0.9.4
+
+    - name: Update lock file
+      run: pixi run update-lock
+
+    - name: Build package
+      run: pixi run build
+
+    - name: Run tox tests
+      run: pixi run -e dev tox
diff --git a/.github/workflows/ossar-analysis.yml b/.github/workflows/ossar-analysis.yml
new file mode 100644
index 00000000..1d4435f4
--- /dev/null
+++ b/.github/workflows/ossar-analysis.yml
@@ -0,0 +1,38 @@
+# This workflow integrates a collection of open source static analysis tools
+# with GitHub code scanning. For documentation, or to provide feedback, visit
+# https://github.com/github/ossar-action
+name: OSSAR
+
+on:
+  pull_request:
+
+jobs:
+  OSSAR-Scan:
+    # OSSAR runs on windows-latest.
+    # ubuntu-latest and macos-latest support coming soon
+    runs-on: windows-latest
+
+    steps:
+      # Checkout your code repository to scan
+    - name: Checkout repository
+      uses: actions/checkout@v5
+      with:
+        # We must fetch at least the immediate parents so that if this is
+        # a pull request then we can checkout the head.
+        fetch-depth: 2
+
+    # If this run was triggered by a pull request event, then checkout
+    # the head of the pull request instead of the merge commit.
+    - run: git checkout HEAD^2
+      if: ${{ github.event_name == 'pull_request' }}
+
+      # Run open source static analysis tools
+    - name: Run OSSAR
+      uses: github/ossar-action@v1
+      id: ossar
+
+      # Upload results to the Security tab
+    - name: Upload OSSAR results
+      uses: github/codeql-action/upload-sarif@v3
+      with:
+        sarif_file: ${{ steps.ossar.outputs.sarifFile }}
\ No newline at end of file
diff --git a/.github/workflows/pr-labels.yml b/.github/workflows/pr-labels.yml
deleted file mode 100644
index 642cd318..00000000
--- a/.github/workflows/pr-labels.yml
+++ /dev/null
@@ -1,56 +0,0 @@
-# Verifies if a pull request has at least one label from a set of valid
-# labels before it can be merged.
-#
-# NOTE:
-# This workflow may be triggered twice in quick succession when a PR is
-# created:
-#   1) `opened`  — when the pull request is initially created
-#   2) `labeled` — if labels are added immediately after creation
-# (e.g. by manual labeling, another workflow, or GitHub App).
-#
-# These are separate GitHub events, so two workflow runs can be started.
-
-name: PR labels check
-
-on:
-  pull_request_target:
-    types: [opened, labeled, unlabeled, synchronize]
-
-permissions:
-  pull-requests: read
-
-jobs:
-  check-labels:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Check for valid labels
-        run: |
-          PR_LABELS=$(echo '${{ toJson(github.event.pull_request.labels.*.name) }}' | jq -r '.[]')
-
-          echo "Current PR labels: $PR_LABELS"
-          VALID_LABELS=(
-            "[bot] release"
-            "[scope] bug"
-            "[scope] documentation"
-            "[scope] enhancement"
-            "[scope] maintenance"
-            "[scope] significant"
-          )
-
-          found=false
-          for label in "${VALID_LABELS[@]}"; do
-            if echo "$PR_LABELS" | grep -Fxq "$label"; then
-              echo "✅ Found valid label: $label"
-              found=true
-              break
-            fi
-          done
-
-          if [ "$found" = false ]; then
-            echo "ERROR: PR must have at least one of the following labels:"
-            for label in "${VALID_LABELS[@]}"; do
-              echo "       - $label"
-            done
-            exit 1
-          fi
diff --git a/.github/workflows/pypi-publish.yml b/.github/workflows/pypi-publish.yml
deleted file mode 100644
index 95a3b394..00000000
--- a/.github/workflows/pypi-publish.yml
+++ /dev/null
@@ -1,46 +0,0 @@
-# Builds a Python package and publish it to PyPI when a new tag is
-# created.
-
-name: PyPI publishing
-
-on:
-  # Runs on creating a new tag starting with 'v', e.g. 'v1.0.3'
-  push:
-    tags: ['v*']
-  # Allows you to run this workflow manually from the Actions tab
-  workflow_dispatch:
-
-jobs:
-  pypi-publish:
-    runs-on: ubuntu-latest
-
-    permissions:
-      contents: read
-      id-token: write # IMPORTANT: this permission is mandatory for trusted publishing
-
-    steps:
-      - name: Check-out repository
-        uses: actions/checkout@v5
-        with:
-          fetch-depth: 0 # full history with tags to get the version number by versioningit
-
-      - name: Set up pixi
-        uses: ./.github/actions/setup-pixi
-
-      # Build the Python package (to dist/ folder)
-      - name: Create Python package
-        run: pixi run default-build
-
-      # Publish the package to PyPI (from dist/ folder)
-      # Instead of publishing with personal access token, we use
-      # GitHub Actions OIDC to get a short-lived token from PyPI.
-      # New publisher must be previously configured in PyPI at
-      # https://pypi.org/manage/project/easyscience/settings/publishing/
-      # Use the following data:
-      # Owner: easyscience
-      # Repository name: core
-      # Workflow name: pypi-publish.yml
-      - name: Publish to PyPI
-        uses: pypa/gh-action-pypi-publish@release/v1
-        with:
-          packages-dir: 'dist'
diff --git a/.github/workflows/pypi-test.yml b/.github/workflows/pypi-test.yml
deleted file mode 100644
index 6f4e582f..00000000
--- a/.github/workflows/pypi-test.yml
+++ /dev/null
@@ -1,80 +0,0 @@
-name: PyPI package tests
-
-on:
-  # Run daily, at 00:00.
-  schedule:
-    - cron: '0 0 * * *'
-  # Allows you to run this workflow manually from the Actions tab
-  workflow_dispatch:
-
-# Allow only one concurrent workflow, skipping runs queued between the run
-# in-progress and latest queued. And cancel in-progress runs.
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
-  cancel-in-progress: true
-
-permissions:
-  contents: read
-
-# Set the environment variables to be used in all jobs defined in this workflow
-env:
-  CI_BRANCH: ${{ github.head_ref || github.ref_name }}
-  DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
-
-jobs:
-  # Job 1: Test installation from PyPI on multiple OS
-  pypi-package-tests:
-    strategy:
-      matrix:
-        os: [ubuntu-latest, windows-latest, macos-latest]
-
-    runs-on: ${{ matrix.os }}
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v5
-
-      - name: Set up pixi
-        uses: ./.github/actions/setup-pixi
-        with:
-          environments: ''
-          activate-environment: ''
-          run-install: false
-          frozen: false
-
-      - name: Init pixi project
-        run: pixi init easyscience
-
-      - name: Add Python 3.13 from Conda
-        working-directory: easyscience
-        run: pixi add "python=3.13"
-
-      - name: Add other Conda dependencies
-        working-directory: easyscience
-        run: pixi add gsl
-
-      - name: Add easyscience from PyPI
-        working-directory: easyscience
-        run: pixi add --pypi "easyscience"
-
-      - name: Add dev dependencies from PyPI
-        working-directory: easyscience
-        run: pixi add --pypi pytest pytest-xdist
-
-      - name: Add Pixi task as a shortcut
-        working-directory: easyscience
-        run: pixi task add easyscience "python -m easyscience"
-
-      - name: Run unit tests to verify the installation
-        working-directory: easyscience
-        run: pixi run python -m pytest ../tests/unit/ --color=yes -v
-
-      - name: Run integration tests to verify the installation
-        working-directory: easyscience
-        run: pixi run python -m pytest ../tests/integration/ --color=yes -n auto
-
-  # Job 2: Build and publish dashboard (reusable workflow)
-  run-reusable-workflows:
-    needs: pypi-package-tests # depend on previous job
-    uses: ./.github/workflows/dashboard.yml
-    secrets: inherit
diff --git a/.github/workflows/python-ci.yml b/.github/workflows/python-ci.yml
new file mode 100644
index 00000000..ed16dfdd
--- /dev/null
+++ b/.github/workflows/python-ci.yml
@@ -0,0 +1,94 @@
+# This workflow will for a variety of Python versions
+# - install the code base with pixi
+# - lint the code base
+# - test the code base
+# - upload the test coverage to codecov
+#
+# It will also
+# - build the package
+# - check the package
+#
+# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
+
+name: CI using pixi
+
+on: [push, pull_request]
+
+jobs:
+  Code_Consistency:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v5
+      - name: Setup Pixi
+        uses: prefix-dev/setup-pixi@v0.9.4
+      - name: Run linting
+        run: pixi run -e dev lint-check
+
+      - name: Suggestion to fix lint issues
+        if: ${{ failure() }}
+        run: |
+            echo "::notice::In project root run 'pixi run -e dev lint' and commit changes to fix issues."
+            exit 1
+
+      - name: Run formatting
+        run: pixi run -e dev format-check
+
+      - name: Suggestion to fix format issues
+        if: ${{ failure() }}
+        run: |
+            echo "::notice::In project root run 'pixi run -e dev format' and commit changes to fix issues."
+            exit 1
+
+  Code_Testing:
+    strategy:
+      max-parallel: 4
+      matrix:
+        python-version: ['3.11', '3.12', '3.13']
+        os: [ubuntu-latest, macos-latest, macos-15-intel, windows-latest]
+
+    runs-on: ${{ matrix.os }}
+    if: "!contains(github.event.head_commit.message, '[ci skip]')"
+
+    steps:
+    - uses: actions/checkout@v5
+
+    - name: Setup Pixi
+      uses: prefix-dev/setup-pixi@v0.9.0
+      with:
+        run-install: false
+        cache: false
+        post-cleanup: false
+
+    - name: Set Python version
+      run: pixi add python=${{ matrix.python-version }}
+
+    - name: Install dependencies and run tests
+      run: pixi run -e dev test
+
+    - name: Upload coverage reports to Codecov
+      uses: codecov/codecov-action@v5
+      with:
+        name: unit-tests-job
+        flags: unittests
+        files: ./coverage-unit.xml
+        fail_ci_if_error: true
+        verbose: true
+        token: ${{ secrets.CODECOV_TOKEN }}
+        slug: EasyScience/corelib
+
+  Package_Testing:
+
+    runs-on: ubuntu-latest
+    if: "!contains(github.event.head_commit.message, '[ci skip]')"
+
+    steps:
+    - uses: actions/checkout@v5
+
+    - name: Setup Pixi
+      uses: prefix-dev/setup-pixi@v0.9.4
+
+    - name: Build package
+      run: pixi run build
+
+    - name: Run tox tests
+      run: pixi run -e dev tox
diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package.yml
new file mode 100644
index 00000000..9158390b
--- /dev/null
+++ b/.github/workflows/python-package.yml
@@ -0,0 +1,46 @@
+# This workflow will for a variety of Python versions
+# - build a python package using pixi
+# - run tests on the produced package
+# - upload the package as an artifact
+#
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: Create Python Package using pixi
+
+
+on:
+  push:
+    branches:
+      - master
+  pull_request:
+    branches:
+      - master
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ['3.11', '3.12', '3.13']
+    if: "!contains(github.event.head_commit.message, '[ci skip]')"
+
+    steps:
+    - uses: actions/checkout@v5
+    
+    - name: Setup Pixi
+      uses: prefix-dev/setup-pixi@v0.9.4
+        
+    - name: Set Python version
+      run: pixi add python=${{ matrix.python-version }}
+      
+    - name: Build package
+      run: pixi run build
+      
+    - name: Run tests with tox
+      run: pixi run -e dev tox
+      
+    - uses: actions/upload-artifact@v4
+      with:
+        name: EasyScience - Python ${{ matrix.python-version }}
+        path: ${{ github.workspace }}/dist/*
+        overwrite: true
\ No newline at end of file
diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml
new file mode 100644
index 00000000..17a81037
--- /dev/null
+++ b/.github/workflows/python-publish.yml
@@ -0,0 +1,38 @@
+# This workflow will
+# - build distribution package, pure python wheel using pixi
+# - publish produced distribution package to PyPI
+#
+# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
+
+name: Publish Python Package
+
+# Controls when the workflow will run
+on:
+  # Triggers the workflow on tag creation
+  push:
+    tags:
+      - 'v*'
+
+  # Allows you to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+jobs:
+  deploy:
+
+    runs-on: ubuntu-latest
+    permissions:
+      id-token: write
+      contents: read
+    steps:
+    - uses: actions/checkout@v5
+
+    - name: Setup Pixi
+      uses: prefix-dev/setup-pixi@v0.9.4
+
+    - name: Build package
+      run: pixi run build
+
+    - name: Publish distribution 📦 to PyPI
+      uses: pypa/gh-action-pypi-publish@release/v1
+      with:
+        password: ${{ secrets.PYPI_TOKEN_ES }}
diff --git a/.github/workflows/release-notes.yml b/.github/workflows/release-notes.yml
deleted file mode 100644
index 4dd25dfa..00000000
--- a/.github/workflows/release-notes.yml
+++ /dev/null
@@ -1,71 +0,0 @@
-# Drafts your next Release notes as pull requests are merged into
-# default branch
-
-name: Release draft update
-
-on:
-  # Runs on pushes targeting the default branch (updates the real draft release)
-  push:
-    branches: [master, main]
-  # Allows you to run this workflow manually from the Actions tab
-  workflow_dispatch:
-
-jobs:
-  draft-release-notes:
-    permissions:
-      # write permission is required to create a github release
-      contents: write
-
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v5
-        with:
-          fetch-depth: 0 # full history with tags to get the version number
-
-      - name: Set up pixi
-        uses: ./.github/actions/setup-pixi
-
-      - name: Setup easyscience[bot]
-        id: bot
-        uses: ./.github/actions/setup-easyscience-bot
-        with:
-          app-id: ${{ vars.EASYSCIENCE_APP_ID }}
-          private-key: ${{ secrets.EASYSCIENCE_APP_KEY }}
-
-      - name: Drafts the next release notes
-        id: draft
-        uses: enhantica/drafterino@v2
-        with:
-          config: |
-            title: 'easyscience $COMPUTED_VERSION'
-            tag: 'v$COMPUTED_VERSION'
-            note-template: '- $PR_TITLE (#$PR_NUMBER)'
-
-            default-bump: post
-
-            major-bump-labels: ['[scope] significant']
-            minor-bump-labels: ['[scope] enhancement']
-            patch-bump-labels: ['[scope] bug', '[scope] maintenance']
-            post-bump-labels: ['[scope] documentation']
-
-            release-notes:
-              - title: 'Added'
-                labels: ['[scope] significant', '[scope] enhancement']
-              - title: 'Fixed'
-                labels: ['[scope] bug']
-              - title: 'Changed'
-                labels: ['[scope] maintenance', '[scope] documentation']
-        env:
-          GITHUB_TOKEN: ${{ steps.bot.outputs.token }}
-
-      - name: Create GitHub draft release
-        uses: softprops/action-gh-release@v2
-        with:
-          draft: true
-          tag_name: ${{ steps.draft.outputs.tag_name }}
-          name: ${{ steps.draft.outputs.release_name }}
-          body: ${{ steps.draft.outputs.release_notes }}
-        env:
-          GITHUB_TOKEN: ${{ steps.bot.outputs.token }}
diff --git a/.github/workflows/release-pr.yml b/.github/workflows/release-pr.yml
deleted file mode 100644
index 7e6fda49..00000000
--- a/.github/workflows/release-pr.yml
+++ /dev/null
@@ -1,55 +0,0 @@
-# This workflow creates an automated release PR from a source branch into the default branch.
-#
-# Usage:
-#   - Triggered manually via workflow_dispatch.
-#   - Creates a PR titled "Release: merge <source> into <default>".
-#   - Adds the label "[bot] release" so it is excluded from changelogs.
-#   - The PR body makes clear that this is automation only (no review needed).
-
-name: 'Release PR (develop → master)'
-
-on:
-  workflow_dispatch:
-    inputs:
-      source_branch:
-        description: 'Source branch to create PR from'
-        required: false
-        default: 'develop'
-        type: string
-
-permissions:
-  contents: read
-  pull-requests: write
-
-env:
-  DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
-  SOURCE_BRANCH: ${{ inputs.source_branch || 'develop' }}
-
-jobs:
-  create-pull-request:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout ${{ env.SOURCE_BRANCH }} branch
-        uses: actions/checkout@v5
-        with:
-          ref: ${{ env.SOURCE_BRANCH }}
-
-      - name: Setup easyscience[bot]
-        id: bot
-        uses: ./.github/actions/setup-easyscience-bot
-        with:
-          app-id: ${{ vars.EASYSCIENCE_APP_ID }}
-          private-key: ${{ secrets.EASYSCIENCE_APP_KEY }}
-
-      - name: Create PR from ${{ env.SOURCE_BRANCH }} to ${{ env.DEFAULT_BRANCH }}
-        env:
-          GH_TOKEN: ${{ steps.bot.outputs.token }}
-        run: |
-          gh pr create \
-            --base ${{ env.DEFAULT_BRANCH }} \
-            --head ${{ env.SOURCE_BRANCH }} \
-            --title "Release: merge ${{ env.SOURCE_BRANCH }} into ${{ env.DEFAULT_BRANCH }}" \
-            --label "[bot] release" \
-            --body "This PR is created automatically to trigger the release pipeline. It merges the accumulated changes from \`${{ env.SOURCE_BRANCH }}\` into \`${{ env.DEFAULT_BRANCH }}\`.
-
-            ⚠️ It is labeled \`[bot] release\` and is excluded from release notes and version bump logic."
diff --git a/.github/workflows/release_drafter.yml b/.github/workflows/release_drafter.yml
new file mode 100644
index 00000000..eb3f34c2
--- /dev/null
+++ b/.github/workflows/release_drafter.yml
@@ -0,0 +1,16 @@
+name: Release Drafter
+
+on:
+  push:
+    # branches to consider in the event; optional, defaults to all
+    branches:
+      - master
+
+jobs:
+  update_release_draft:
+    runs-on: ubuntu-latest
+    steps:
+      # Drafts your next Release notes as Pull Requests are merged into "master"
+      - uses: release-drafter/release-drafter@v6
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
diff --git a/.github/workflows/security.yml b/.github/workflows/security.yml
deleted file mode 100644
index 9b34cccf..00000000
--- a/.github/workflows/security.yml
+++ /dev/null
@@ -1,93 +0,0 @@
-# Code scanning (CodeQL) for vulnerabilities and insecure coding patterns.
-#
-# What this workflow does
-# - Runs GitHub CodeQL analysis and uploads results to your repository's Security tab.
-# - Triggers on PRs (so findings appear as PR checks) and on pushes to `develop`.
-# - Runs on a weekly schedule.
-#
-# Where to find results on GitHub
-# - Repository → Security → Code scanning alerts
-#   (You can filter by tool = CodeQL and by branch.)
-#
-# Where to configure on GitHub
-# - Repository → Settings → Advanced Security
-#   Enable "GitHub Advanced Security" (if available) and configure CodeQL there.
-# - Repository → Security → Code scanning alerts
-#   This page shows findings produced by this workflow.
-#
-# Notes about the scheduled run
-# - Scheduled workflows are triggered from the repository's *default branch*.
-#   If your default branch is `master` but you want the scheduled scan to analyze
-#   `develop`, this workflow checks out `develop` explicitly for scheduled runs.
-#
-# References
-# - CodeQL Action: https://github.com/github/codeql-action
-# - Advanced setup docs: https://docs.github.com/en/code-security/code-scanning
-
-name: Security scans with CodeQL
-
-on:
-  # Run on pull requests so results show up as PR checks and code
-  # scanning alerts.
-  pull_request:
-    branches: [master, main, develop]
-
-  # Run on pushes (e.g., after merging PRs).
-  push:
-    branches: [master, main, develop]
-
-  # Run weekly. (Cron is in UTC.)
-  schedule:
-    - cron: '0 3 * * 1'
-
-permissions:
-  contents: read
-  security-events: write
-
-jobs:
-  codeql:
-    name: Code scanning
-    runs-on: ubuntu-latest
-
-    strategy:
-      fail-fast: false
-      matrix:
-        # Keep this list tight to avoid noise and speed up runs.
-        language: [python, actions]
-
-    steps:
-      # Scheduled workflows run from the default branch.
-      # We explicitly analyze `develop` on the schedule to keep the scan
-      # focused on the active dev branch.
-      - name: Checkout repository (scheduled → develop)
-        if: ${{ github.event_name == 'schedule' }}
-        uses: actions/checkout@v5
-        with:
-          ref: develop
-
-      - name: Checkout repository
-        if: ${{ github.event_name != 'schedule' }}
-        uses: actions/checkout@v5
-
-      - name: Initialize CodeQL
-        uses: github/codeql-action/init@v4
-        with:
-          languages: ${{ matrix.language }}
-
-      - name: Perform CodeQL Analysis
-        uses: github/codeql-action/analyze@v4
-
-  print-link:
-    name: Print results link
-    runs-on: ubuntu-latest
-
-    needs: codeql
-    permissions: {} # no special perms needed just to print links
-
-    steps:
-      - name: Add Code Scanning link to job summary
-        run: |
-          echo "## 🔎 CodeQL Results" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "View Code Scanning alerts here:" >> $GITHUB_STEP_SUMMARY
-          echo "${{ github.server_url }}/${{ github.repository }}/security/code-scanning" >> $GITHUB_STEP_SUMMARY
diff --git a/.github/workflows/test-trigger.yml b/.github/workflows/test-trigger.yml
deleted file mode 100644
index ecf6b40c..00000000
--- a/.github/workflows/test-trigger.yml
+++ /dev/null
@@ -1,40 +0,0 @@
-name: Scheduled code tests trigger
-
-on:
-  # Run daily, at 00:00.
-  schedule:
-    - cron: '0 0 * * *'
-  # Allows you to run this workflow manually from the Actions tab
-  workflow_dispatch:
-
-permissions:
-  contents: read
-
-jobs:
-  code-tests-trigger:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout develop branch
-        uses: actions/checkout@v5
-        with:
-          ref: develop
-
-      - name: Setup easyscience[bot]
-        id: bot
-        uses: ./.github/actions/setup-easyscience-bot
-        with:
-          app-id: ${{ vars.EASYSCIENCE_APP_ID }}
-          private-key: ${{ secrets.EASYSCIENCE_APP_KEY }}
-
-      - name: Dispatch code tests workflow
-        uses: ./.github/actions/github-script
-        with:
-          github-token: ${{ steps.bot.outputs.token }}
-          script: |
-            await github.rest.actions.createWorkflowDispatch({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              workflow_id: "test.yml",
-              ref: "develop"
-            });
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
deleted file mode 100644
index 05998190..00000000
--- a/.github/workflows/test.yml
+++ /dev/null
@@ -1,271 +0,0 @@
-# This is the main workflow for testing the code before and after
-# packaging it.
-# The workflow is divided into three jobs:
-# 1. env-prepare:
-#    - Prepare the environment for testing
-# 2. source-test:
-#    - Test the code base against the latest code in the repository
-#    - Create the Python package
-#    - Upload the Python package for the next job
-# 3. package-test:
-#    - Download the Python package (including extra files) from the previous job
-#    - Install the downloaded Python package
-#    - Test the code base against the installed package
-# 4. dashboard-build-trigger:
-#    - Trigger the dashboard build workflow to update the code quality
-#      metrics on the dashboard
-
-name: Code and package tests
-
-on:
-  # Trigger the workflow on push
-  push:
-    branches-ignore: [master, main] # Already verified in PR
-    # But do not run this workflow on creating a new tag starting with
-    # 'v', e.g. 'v1.0.3' (see publish-pypi.yml)
-    tags-ignore: ['v*']
-  # Trigger the workflow on pull request
-  pull_request:
-    branches: ['**']
-  # Allows you to run this workflow manually from the Actions tab
-  workflow_dispatch:
-
-# Need permissions to trigger the dashboard build workflow
-permissions:
-  actions: write
-  contents: read
-
-# Allow only one concurrent workflow, skipping runs queued between the run
-# in-progress and latest queued. And cancel in-progress runs.
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
-  cancel-in-progress: true
-
-# Set the environment variables to be used in all jobs defined in this workflow
-env:
-  CI_BRANCH: ${{ github.head_ref || github.ref_name }}
-  PY_VERSIONS: '3.11 3.13'
-  PIXI_ENVS: 'py-311-env py-313-env'
-
-jobs:
-  # Job 1: Set up environment variables
-  env-prepare:
-    runs-on: [ubuntu-latest]
-
-    outputs:
-      pytest-marks: ${{ steps.set-mark.outputs.pytest_marks }}
-
-    steps:
-      # Determine if integration tests should be run fully or only the fast ones
-      # (to save time on branches other than master and develop)
-      - name: Set mark for integration tests
-        id: set-mark
-        run: |
-          if [[ "${{ env.CI_BRANCH }}" == "master" || "${{ env.CI_BRANCH }}" == "develop" ]]; then
-            echo "pytest_marks=" >> $GITHUB_OUTPUT
-          else
-            echo "pytest_marks=-m fast" >> $GITHUB_OUTPUT
-          fi
-
-  # Job 2: Test code
-  source-test:
-    needs: env-prepare # depend on previous job
-
-    strategy:
-      fail-fast: false
-      matrix:
-        os: [ubuntu-24.04, macos-14, windows-2022]
-
-    runs-on: ${{ matrix.os }}
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v5
-
-      - name: Set up pixi
-        uses: ./.github/actions/setup-pixi
-        with:
-          environments: ${{ env.PIXI_ENVS }}
-
-      - name: Run unit tests
-        shell: bash
-        run: |
-          set -euo pipefail
-
-          for py_ver in $PY_VERSIONS; do
-            echo
-            echo "🔹🔸🔹🔸🔹 Python: $py_ver 🔹🔸🔹🔸🔹"
-
-            env="py-$(echo $py_ver | tr -d .)-env" # Converts 3.11 -> py-311-env
-
-            echo "Running tests in environment: $env"
-            pixi run --environment $env unit-tests
-          done
-
-      - name: Run integration tests ${{ needs.env-prepare.outputs.pytest-marks }}
-        shell: bash
-        run: |
-          set -euo pipefail
-
-          for py_ver in $PY_VERSIONS; do
-            echo
-            echo "🔹🔸🔹🔸🔹 Python: $py_ver 🔹🔸🔹🔸🔹"
-
-            env="py-$(echo $py_ver | tr -d .)-env" # Converts 3.11 -> py-311-env
-
-            echo "Running tests in environment: $env"
-            pixi run --environment $env integration-tests ${{ needs.env-prepare.outputs.pytest-marks }}
-          done
-
-      # Delete all local tags when not on a tagged commit to force versioningit
-      # to fall back to the configured default-tag, which is '999.0.0' in our case.
-      # This is needed for testing the package in the next job, as its version
-      # must be higher than the PyPI version for pip to prefer the local version.
-      - name: Force using versioningit default tag (non tagged release)
-        if: startsWith(github.ref , 'refs/tags/v') != true
-        run: git tag --delete $(git tag)
-
-      - name: Build package wheels for all Python versions
-        shell: bash
-        run: |
-          set -euo pipefail
-
-          for py_ver in $PY_VERSIONS; do
-            echo
-            echo "🔹🔸🔹🔸🔹 Python: $py_ver 🔹🔸🔹🔸🔹"
-
-            env="py-$(echo $py_ver | tr -d .)-env" # Converts 3.11 -> py-311-env
-
-            echo "Building wheel in environment: $env"
-            pixi run --environment $env dist-build
-
-            echo "Moving built wheel to dist/py$py_ver/"
-            pixi run mkdir -p dist/py$py_ver
-            pixi run mv dist/*.whl dist/py$py_ver/
-          done
-
-      - name: Remove Python cache files before uploading
-        shell: bash
-        run: pixi run clean-pycache
-
-      # More than one file/dir need to be specified in 'path', to preserve the
-      # structure of the dist/ directory, not only its contents.
-      - name: Upload package (incl. extras) for next job
-        uses: ./.github/actions/upload-artifact
-        with:
-          name: easyscience_${{ matrix.os }}_${{ runner.arch }}
-          path: dist/
-
-  # Job 3: Test the package
-  package-test:
-    needs: source-test # depend on previous job
-
-    strategy:
-      fail-fast: false
-      matrix:
-        os: [ubuntu-24.04, macos-14, windows-2022]
-
-    runs-on: ${{ matrix.os }}
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v5
-
-      - name: Download package (incl. extras) from previous job
-        uses: ./.github/actions/download-artifact
-        with:
-          # name and path should be taken from the upload step of the previous job
-          name: easyscience_${{ matrix.os }}_${{ runner.arch }}
-          path: dist/
-
-      - name: Set up pixi
-        uses: ./.github/actions/setup-pixi
-        with:
-          environments: ''
-          activate-environment: ''
-          run-install: false
-          frozen: false
-
-      - name: Install easyscience from the built wheel
-        shell: bash
-        run: |
-          set -euo pipefail
-
-          for py_ver in $PY_VERSIONS; do
-            echo
-            echo "🔹🔸🔹🔸🔹 Python: $py_ver 🔹🔸🔹🔸🔹"
-
-            echo "Initializing pixi project"
-            pixi init easyscience_py$py_ver
-            cd easyscience_py$py_ver
-
-            echo "Adding Python $py_ver"
-            pixi add "python=$py_ver"
-
-            echo "Adding Conda dependencies"
-            pixi add gsl
-
-            #echo "Adding PyPI dependencies"
-            #pixi add --pypi pytest pytest-xdist
-
-            echo "Looking for wheel in ../dist/py$py_ver/"
-            ls -l "../dist/py$py_ver/"
-
-            whl_path=(../dist/"py$py_ver"/*.whl)
-            if [[ ! -f "${whl_path[0]}" ]]; then
-              echo "❌ No wheel found in ../dist/py$py_ver/"
-              exit 1
-            fi
-
-            whl_url="file://$(python -c 'import os,sys; print(os.path.abspath(sys.argv[1]))' "${whl_path[0]}")"
-
-            echo "Adding easyscience from: $whl_url"
-            pixi add --pypi "easyscience[dev] @ ${whl_url}"
-
-            echo "Exiting pixi project directory"
-            cd ..
-          done
-
-      - name: Run unit tests
-        shell: bash
-        run: |
-          set -euo pipefail
-
-          for py_ver in $PY_VERSIONS; do
-            echo
-            echo "🔹🔸🔹🔸🔹 Python: $py_ver 🔹🔸🔹🔸🔹"
-
-            echo "Entering pixi project directory easyscience_py$py_ver"
-            cd easyscience_py$py_ver
-
-            echo "Running tests"
-            pixi run python -m pytest ../tests/unit/ --color=yes -v
-
-            echo "Exiting pixi project directory"
-            cd ..
-          done
-
-      - name: Run integration tests ${{ needs.env-prepare.outputs.pytest-marks }}
-        shell: bash
-        run: |
-          set -euo pipefail
-
-          for py_ver in $PY_VERSIONS; do
-            echo
-            echo "🔹🔸🔹🔸🔹 Python: $py_ver 🔹🔸🔹🔸🔹"
-
-            echo "Entering pixi project directory easyscience_py$py_ver"
-            cd easyscience_py$py_ver
-
-            echo "Running tests"
-            pixi run python -m pytest ../tests/integration/ --color=yes -n auto -v ${{ needs.env-prepare.outputs.pytest-marks }}
-
-            echo "Exiting pixi project directory"
-            cd ..
-          done
-
-  # Job 4: Build and publish dashboard (reusable workflow)
-  run-reusable-workflows:
-    needs: package-test # depend on previous job
-    uses: ./.github/workflows/dashboard.yml
-    secrets: inherit
diff --git a/.github/workflows/tutorial-tests-trigger.yml b/.github/workflows/tutorial-tests-trigger.yml
deleted file mode 100644
index 1bc27f4f..00000000
--- a/.github/workflows/tutorial-tests-trigger.yml
+++ /dev/null
@@ -1,40 +0,0 @@
-name: Scheduled tutorial tests trigger
-
-on:
-  # Run daily, at 00:00.
-  schedule:
-    - cron: '0 0 * * *'
-  # Allows you to run this workflow manually from the Actions tab
-  workflow_dispatch:
-
-permissions:
-  contents: read
-
-jobs:
-  tutorial-tests-trigger:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout develop branch
-        uses: actions/checkout@v5
-        with:
-          ref: develop
-
-      - name: Setup easyscience[bot]
-        id: bot
-        uses: ./.github/actions/setup-easyscience-bot
-        with:
-          app-id: ${{ vars.EASYSCIENCE_APP_ID }}
-          private-key: ${{ secrets.EASYSCIENCE_APP_KEY }}
-
-      - name: Dispatch tutorial tests workflow
-        uses: ./.github/actions/github-script
-        with:
-          github-token: ${{ steps.bot.outputs.token }}
-          script: |
-            await github.rest.actions.createWorkflowDispatch({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              workflow_id: "tutorial-tests.yml",
-              ref: "develop"
-            });
diff --git a/.github/workflows/tutorial-tests.yml b/.github/workflows/tutorial-tests.yml
deleted file mode 100644
index 4c9244d0..00000000
--- a/.github/workflows/tutorial-tests.yml
+++ /dev/null
@@ -1,64 +0,0 @@
-name: Tutorial tests
-
-on:
-  # Trigger the workflow on push
-  push:
-    # Selected branches
-    branches: [develop] # master and main are already verified in PR
-  # Trigger the workflow on pull request
-  pull_request:
-    branches: ['**']
-  # Trigger the workflow on workflow_call (to be called from other workflows)
-  # Needed, as standard schedule triggers the master branch only, but we want
-  # to run this workflow on develop branch.
-  workflow_call:
-  # Allows you to run this workflow manually from the Actions tab
-  workflow_dispatch:
-
-permissions:
-  contents: read
-
-# Allow only one concurrent workflow, skipping runs queued between the run
-# in-progress and latest queued. And cancel in-progress runs.
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
-  cancel-in-progress: true
-
-# Set the environment variables to be used in all jobs defined in this workflow
-env:
-  CI_BRANCH: ${{ github.head_ref || github.ref_name }}
-
-jobs:
-  # Job 1: Test tutorials as scripts and notebooks on multiple OS
-  tutorial-tests:
-    strategy:
-      fail-fast: false
-      matrix:
-        os: [ubuntu-latest, macos-latest, windows-latest]
-
-    runs-on: ${{ matrix.os }}
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v5
-
-      - name: Set up pixi
-        uses: ./.github/actions/setup-pixi
-
-      - name: Test tutorials as python scripts
-        shell: bash
-        run: pixi run script-tests
-
-      - name: Prepare notebooks
-        shell: bash
-        run: pixi run notebook-prepare
-
-      - name: Test tutorials as notebooks
-        shell: bash
-        run: pixi run notebook-tests
-
-  # Job 2: Build and publish dashboard (reusable workflow)
-  run-reusable-workflows:
-    needs: tutorial-tests # depend on previous job
-    uses: ./.github/workflows/dashboard.yml
-    secrets: inherit
diff --git a/.github/workflows/verify_issue_labels.yml b/.github/workflows/verify_issue_labels.yml
new file mode 100644
index 00000000..4315fe7e
--- /dev/null
+++ b/.github/workflows/verify_issue_labels.yml
@@ -0,0 +1,33 @@
+# This workflow will verify that all issues have at
+# least one of the [scope] labels and one of the [priority] labels
+
+name: Verify issue labels
+on:
+  issues:
+    types: [opened, labeled, unlabeled]
+
+jobs:
+  check_issue_labels:
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+    steps:
+      - name: Require [scope] label
+        uses: trstringer/require-label-prefix@v1
+        with:
+          secret: ${{ github.TOKEN }}
+          prefix: "[scope]"
+          labelSeparator: " "
+          addLabel: true
+          defaultLabel: "[scope] ⚠️ label needed"
+
+      - name: Require [priority] label
+        if: always()
+        uses: trstringer/require-label-prefix@v1
+        with:
+          secret: ${{ github.TOKEN }}
+          prefix: "[priority]"
+          labelSeparator: " "
+          addLabel: true
+          defaultLabel: "[priority] ⚠️ label needed"
+
diff --git a/.github/workflows/verify_pr_labels.yml b/.github/workflows/verify_pr_labels.yml
new file mode 100644
index 00000000..e7eb0f5c
--- /dev/null
+++ b/.github/workflows/verify_pr_labels.yml
@@ -0,0 +1,23 @@
+# This workflow will verify that all PRs have at
+# least one of the [scope] labels before they can be merged.
+
+name: Verify PR labels
+on:
+  pull_request_target:
+    types: [opened, labeled, unlabeled, synchronize]
+
+jobs:
+  check_pr_label:
+    runs-on: ubuntu-latest
+    permissions:
+      pull-requests: write
+    name: Verify that the PR has a valid label
+    steps:
+    - name: Verify PR label action
+      uses: jesusvasquez333/verify-pr-label-action@v1.4.0
+      id: verify-pr-label
+      with:
+        github-token: ${{ github.TOKEN }}
+        valid-labels: '[scope] bug, [scope] enhancement, [scope] documentation, [scope] significant, [scope] maintenance'
+        pull-request-number: ${{ github.event.pull_request.number }}
+        disable-reviews: false
diff --git a/.gitignore b/.gitignore
index 0500ede3..5d0e0e91 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,45 +1,52 @@
+# QtCreator
+*.autosave
+
+# QtCreator Qml
+*.qmlproject.user
+*.qmlproject.user.*
+
+# QtCreator Python
+*.pyproject.user
+*.pyproject.user.*
+
+# QtCreator CMake
+CMakeLists.txt.user*
+
 # Python
-__pycache__/
-.venv/
+__pycache__
+.venv
 .coverage
 .pyc
 
+# Poetry
+dist
+poetry.lock
+*.egg-info
+
 # Pixi
 .pixi/
 
 # PyInstaller
-dist/
-build/
+build
 *.spec
 
-# MkDocs
-docs/site/
-
-# Jupyter Notebooks
+# Jupyter
 .ipynb_checkpoints
 
-# Node
-node_modules/
-
-# QtCreator
-*.autosave
-*.qmlproject.user
-*.qmlproject.user.*
-*.pyproject.user
-*.pyproject.user.*
-CMakeLists.txt.user*
-
-# PyCharm
-.idea/
-
-# VS Code
-.vscode/
-
 # macOS
 .DS_Store
 *.app
 *.dmg
 
+# Docs
+docs/_build
+
+# VSCode
+.vscode
+
 # Misc
+..*
 *.log
 *.zip
+.ci/
+.idea/
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index feb102db..16fd4a4f 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,61 +1,23 @@
 repos:
-  - repo: local
-    hooks:
-      # -------------
-      # Manual checks
-      # -------------
-      - id: pixi-pyproject-check
-        name: pixi run pyproject-check
-        entry: pixi run pyproject-check
-        language: system
-        pass_filenames: false
-        stages: [manual]
+- repo: https://github.com/psf/black
+  rev: 22.3.0
+  hooks:
+  - id: black
+    exclude: ^dist/
 
-      - id: spdx-headers-check
-        name: pixi run spdx-check
-        entry: pixi run spdx-check
-        language: system
-        pass_filenames: false
-        stages: [manual]
-
-      - id: pixi-py-lint-check
-        name: pixi run py-lint-check
-        entry: pixi run py-lint-check
-        language: system
-        pass_filenames: false
-        stages: [manual]
-
-      - id: pixi-py-format-check
-        name: pixi run py-format-check
-        entry: pixi run py-format-check
-        language: system
-        pass_filenames: false
-        stages: [manual]
-
-      - id: pixi-nonpy-format-check
-        name: pixi run nonpy-format-check
-        entry: pixi run nonpy-format-check
-        language: system
-        pass_filenames: false
-        stages: [manual]
-
-      - id: pixi-docs-format-check
-        name: pixi run docs-format-check
-        entry: pixi run docs-format-check
-        language: system
-        pass_filenames: false
-        stages: [manual]
-
-      - id: pixi-notebook-format-check
-        name: pixi run notebook-format-check
-        entry: pixi run notebook-format-check
-        language: system
-        pass_filenames: false
-        stages: [manual]
-
-      - id: pixi-unit-tests
-        name: pixi run unit-tests
-        entry: pixi run unit-tests
-        language: system
-        pass_filenames: false
-        stages: [manual]
+- repo: https://github.com/pre-commit/pre-commit-hooks
+  rev: v4.3.0    # Use the ref you want to point at
+  hooks:
+  - id: trailing-whitespace
+  - id: check-yaml
+  - id: check-xml
+  - id: check-toml
+  - id: pretty-format-json
+  - id: detect-private-key
+- repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks
+  rev: v2.5.0
+  hooks:
+  - id: pretty-format-yaml
+    args: [--autofix, --indent, '2']
+  #- id: pretty-format-toml
+  #  args: [--autofix]
diff --git a/.prettierignore b/.prettierignore
deleted file mode 100644
index 788ec8fa..00000000
--- a/.prettierignore
+++ /dev/null
@@ -1,17 +0,0 @@
-# Copier
-.copier-answers*.yml
-
-# Pixi
-.pixi
-pixi.lock
-
-# MkDocs
-docs/overrides/
-docs/site/
-docs/docs/assets/
-
-# Python
-.pytest_cache/
-
-# MyPy
-.mypy_cache
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index fa245c37..cb8357ab 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,406 +1,134 @@
-# Contributing to EasyScience
+# Contributing
 
-Thank you for your interest in contributing to **EasyScience**!
+When contributing to the EasyScience repository, please first discuss the change you wish to make via issue,
+email, or any other method with the owners of this repository before making a change. 
 
-This guide explains how to:
+Please note we have a code of conduct, please follow it in all your interactions with the project.
 
-- Report issues
-- Contribute code
-- Improve documentation
-- Suggest enhancements
-- Interact with the EasyScience community
+## Development Setup
 
-Whether you are an experienced developer or contributing for the first
-time, this document walks you through the entire process step by step.
+We use [pixi](https://pixi.sh) for dependency management and development workflow automation. This ensures consistent environments across different platforms and simplifies the development process.
 
-Please make sure you follow the EasyScience organization-wide
-[Code of Conduct](https://github.com/easyscience/.github/blob/master/CODE_OF_CONDUCT.md).
+### Prerequisites
 
----
+1. Install pixi following the [official installation guide](https://pixi.sh/latest/#installation)
 
-## Table of Contents
-
-- [How to Interact With This Project](#how-to-interact-with-this-project)
-- [1. Understanding the Development Model](#1-understanding-the-development-model)
-- [2. Getting the Code](#2-getting-the-code)
-- [3. Setting Up the Development Environment](#3-setting-up-the-development-environment)
-- [4. Creating a Branch](#4-creating-a-branch)
-- [5. Implementing Your Changes](#5-implementing-your-changes)
-- [6. Code Quality Checks](#6-code-quality-checks)
-- [7. Opening a Pull Request](#7-opening-a-pull-request)
-- [8. Continuous Integration (CI)](#8-continuous-integration-ci)
-- [9. Code Review](#9-code-review)
-- [10. Documentation Contributions](#10-documentation-contributions)
-- [11. Reporting Issues](#11-reporting-issues)
-- [12. Security Issues](#12-security-issues)
-- [13. Releases](#13-releases)
-
----
-
-## How to Interact With This Project
-
-If you are not planning to modify the code, you may want to:
-
-- 🐞 Report a bug — see [Reporting Issues](#11-reporting-issues)
-- 🛡 Report a security issue — see
-  [Security Issues](#12-security-issues)
-- 💬 Ask a question or start a discussion at
-  [Project Discussions](https://github.com/easyscience/core/discussions)
-
-If you plan to contribute code or documentation, continue below.
-
----
-
-## 1. Understanding the Development Model
-
-Before you start coding, it is important to understand how development
-works in this project.
-
-### Branching Strategy
-
-We use the following branches:
-
-- `master` — stable releases only
-- `develop` — active development branch
-- Short-lived branches — one branch per contribution
-
-All normal contributions must target the `develop` branch.
-
-This means:
-
-- Do **not** open Pull Requests against `master`
-- Always create your branch from `develop`
-- Always target `develop` when opening a Pull Request
-
-See ADR easyscience/.github#12 for full details on the branching
-strategy.
-
----
-
-## 2. Getting the Code
-
-### 2.1. If You Are an External Contributor
-
-If you are not a core maintainer of this repository, follow these steps.
-
-1. Open the repository page: `https://github.com/easyscience/core`
-
-2. Click the **Fork** button (top-right corner). This creates your own
-   copy of the repository.
-
-3. Clone your fork locally:
-
-   ```bash
-   git clone https://github.com/<your-username>/core.git
-   cd core
-   ```
-
-4. Add the original repository as `upstream`:
-
-   ```bash
-   git remote add upstream https://github.com/easyscience/core.git
-   ```
-
-5. Switch to the `develop` branch and update it:
-
-   ```bash
-   git fetch upstream
-   git checkout develop
-   git pull upstream develop
-   ```
-
-If you have contributed before, make sure your local `develop` branch is
-up to date before starting new work. You can update it with:
+### Getting Started
 
+1. Fork and clone the repository:
 ```bash
-git fetch upstream
-git pull upstream develop
+git clone https://github.com/your-username/EasyScience.git
+cd EasyScience
 ```
 
-This ensures you are working on the latest version of the project.
-
-### 2.2. If You Are a Core Team Member
-
-Core team members do not need to fork the repository. You can create a
-new branch directly from `develop`, but the rest of the workflow remains
-the same.
-
----
-
-## 3. Setting Up the Development Environment
-
-You need:
-
-- Git
-- Pixi
-
-EasyScience projects use **Pixi** to manage the development environment.
-
-To install Pixi, follow the official instructions:
-https://pixi.prefix.dev/latest/installation/
-
-You do **not** need to manually install Python. Pixi automatically:
-
-- Creates the correct Python environment
-- Installs all required dependencies
-- Installs development tools (linters, formatters, test tools)
-
-Set up the environment:
-
+2. Set up the development environment:
 ```bash
 pixi install
-pixi run post-install
-```
-
-After this step, your development environment is ready.
-
-See ADR easyscience/.github#63 for more details about this decision.
-
----
-
-## 4. Creating a Branch
-
-Never work directly on `develop`.
-
-Create a new branch:
-
-```bash
-git checkout -b my-change
-```
-
-Use a clear and descriptive name, for example:
-
-- `improve-solver-speed`
-- `fix-boundary-condition`
-- `add-tutorial-example`
-
-Clear branch names make reviews and history easier to understand.
-
----
-
-## 5. Implementing Your Changes
-
-While developing:
-
-- Make small, logical commits
-- Write clear and descriptive commit messages
-- Follow the Google docstring convention
-- Add or update unit tests if behavior changes
-
-Example:
-
-```bash
-git add .
-git commit -m "Improve performance of time integrator for large systems"
-```
-
-Run tests locally:
-
-```bash
-pixi run unit-tests
-```
-
-Running tests frequently is strongly recommended.
-
----
-
-## 6. Code Quality Checks
-
-Before opening a Pull Request, always run:
-
-```bash
-pixi run check
-```
-
-This command runs:
-
-- Formatting checks
-- Linting
-- Docstring validation
-- Notebook checks
-- Unit tests
-- Other project validations
-
-A successful run should look like this:
-
-```bash
-pixi run pyproject-check...................................Passed
-pixi run py-lint-check.....................................Passed
-pixi run py-format-check...................................Passed
-pixi run nonpy-format-check................................Passed
-pixi run docs-format-check.................................Passed
-pixi run notebook-format-check.............................Passed
-pixi run unit-tests........................................Passed
-```
-
-If something fails, read the error message carefully and fix the issue.
-
-You can run individual checks, for example:
-
-```bash
-pixi run py-lint-check
-```
-
-Some formatting issues can be fixed automatically:
-
-```bash
-pixi run fix
 ```
 
-If everything is correctly formatted, you will see:
-
-```text
-✅ All code auto-formatting steps have been applied.
-```
-
-This indicates that the auto-formatting pipeline completed successfully.
-If you do not see this message and no error messages appear, try running
-the command again.
-
-If errors are reported, resolve them and re-run:
-
+3. Run tests to verify everything is working:
 ```bash
-pixi run check
+pixi run test
 ```
 
-All checks must pass before your Pull Request can be merged.
-
-If you are unsure how to fix an issue, ask for help in your Pull Request
-discussion.
+### Development Workflow
 
----
+- **Run tests**: `pixi run test` (full test suite with coverage)
+- **Run unit tests only**: `pixi run test-unit`
+- **Check code style**: `pixi run lint-check`
+- **Fix code style**: `pixi run lint`
+- **Check code formatting**: `pixi run format-check`
+- **Format code**: `pixi run format`
+- **Build package**: `pixi run build`
+- **Build documentation**: `pixi run docs-build`
 
-## 7. Opening a Pull Request
+### Before Submitting a Pull Request
 
-Push your branch:
+1. Update the lock file to ensure dependencies are up to date: `pixi run update-lock`
+2. Ensure all tests pass: `pixi run test`
+3. Check code style: `pixi run lint-check`
+4. Format your code: `pixi run format`
+5. Update documentation if necessary
+6. Add tests for new functionality
 
-```bash
-git push origin my-change
-```
+## Pull Request Process
 
-On GitHub:
+1. Ensure any install or build dependencies are removed before the end of the layer when doing a 
+   build.
+2. Update the README.md with details of changes to the interface, this includes new environment 
+   variables, exposed ports, useful file locations and container parameters.
+3. Increase the version numbers in any examples files and the README.md to the new version that this
+   Pull Request would represent. The versioning scheme we use is [SemVer](http://semver.org/).
+4. You may merge the Pull Request in once you have the sign-off of two other developers, or if you 
+   do not have permission to do that, you may request the second reviewer to merge it for you.
 
-- Click **Compare & Pull Request**
-- Ensure the base branch is `develop`
-- Write a clear and concise title
-- Add a description explaining what changed and why
-- Add the required `[scope]` label
+## Code of Conduct
 
-### Pull Request Title
+### Our Pledge
 
-The PR title appears in release notes and changelogs. It should be
-concise and informative.
-
-Good examples:
-
-- Improve performance of time integrator for large systems
-- Fix incorrect boundary condition handling in solver
-- Add adaptive step-size control to ODE solver
-- Add tutorial for custom model configuration
-- Refactor solver API for improved readability
-
-### Required `[scope]` Label
-
-Each Pull Request must include one `[scope]` label:
-
-| Label                   | Description                                                             |
-| ----------------------- | ----------------------------------------------------------------------- |
-| `[scope] bug`           | Bug report or fix (major.minor.**PATCH**)                               |
-| `[scope] documentation` | Documentation-only changes (major.minor.patch.**POST**)                 |
-| `[scope] enhancement`   | Adds or improves features (major.**MINOR**.patch)                       |
-| `[scope] maintenance`   | Code/tooling cleanup without feature or bug fix (major.minor.**PATCH**) |
-| `[scope] significant`   | Breaking or major changes (**MAJOR**.minor.patch)                       |
-
-See ADR easyscience/.github#33 for full versioning rules.
-
----
-
-## 8. Continuous Integration (CI)
-
-After opening a Pull Request:
-
-- Automated checks run automatically
-- You will see green checkmarks or red crosses
-
-If checks fail:
-
-1. Open the failing check
-2. Read the logs
-3. Fix the issue locally
-4. Run `pixi run check`
-5. Push your changes
-
-The Pull Request updates automatically.
-
----
-
-## 9. Code Review
-
-All Pull Requests are reviewed by at least one core team member.
-
-Code review is collaborative and aims to improve quality.
-
-Do not take comments personally — they are meant to help.
-
-To update your PR:
-
-```bash
-git add .
-git commit -m "Address review comments"
-git push
-```
-
----
-
-## 10. Documentation Contributions
-
-If your change affects users, update the documentation.
-
-This may include:
-
-- API documentation
-- Examples
-- Tutorials
-- Jupyter notebooks
-
-Preview documentation locally:
-
-```bash
-pixi run docs-serve
-```
+In the interest of fostering an open and welcoming environment, we as
+contributors and maintainers pledge to making participation in our project and
+our community a harassment-free experience for everyone, regardless of age, body
+size, disability, ethnicity, gender identity and expression, level of experience,
+nationality, personal appearance, race, religion, or sexual identity and
+orientation.
 
-Open the URL shown in the terminal to review your changes.
+### Our Standards
 
----
+Examples of behavior that contributes to creating a positive environment
+include:
 
-## 11. Reporting Issues
+* Being respectful of differing viewpoints and experiences
+* Gracefully accepting constructive criticism
+* Focusing on what is best for the community
 
-If you find a bug but do not want to fix it:
+Examples of unacceptable behavior by participants include:
 
-- Search existing issues first
-- Provide clear reproduction steps
-- Include logs and environment details
+* Trolling, insulting/derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or electronic
+  address, without explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
 
-Clear issue reports help maintainers significantly.
+### Our Responsibilities
 
----
+Project maintainers are responsible for clarifying the standards of acceptable
+behavior and are expected to take appropriate and fair corrective action in
+response to any instances of unacceptable behavior.
 
-## 12. Security Issues
+Project maintainers have the right and responsibility to remove, edit, or
+reject comments, commits, code, wiki edits, issues, and other contributions
+that are not aligned to this Code of Conduct, or to ban temporarily or
+permanently any contributor for other behaviors that they deem inappropriate,
+threatening, offensive, or harmful.
 
-Do **not** report security vulnerabilities publicly.
+### Scope
 
-If you discover a potential vulnerability, contact the maintainers
-privately.
+This Code of Conduct applies both within project spaces and in public spaces
+when an individual is representing the project or its community. Examples of
+representing a project or community include using an official project e-mail
+address, posting via an official social media account, or acting as an appointed
+representative at an online or offline event. Representation of a project may be
+further defined and clarified by project maintainers.
 
----
+### Enforcement
 
-## 13. Releases
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported by contacting the project team at suport@easydiffraction.org. All
+complaints will be reviewed and investigated and will result in a response that
+is deemed necessary and appropriate to the circumstances. The project team is
+obligated to maintain confidentiality with regard to the reporter of an incident.
+Further details of specific enforcement policies may be posted separately.
 
-Releases are created by merging `develop` into `master`.
+Project maintainers who do not follow or enforce the Code of Conduct in good
+faith may face temporary or permanent repercussions as determined by other
+members of the project's leadership.
 
-Once your contribution is merged into `develop`, it will be included in
-the next stable release.
+### Attribution
 
----
+This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
+available at [http://contributor-covenant.org/version/1/4][version]
 
-Thank you for contributing to EasyScience and the EasyScience ecosystem!
+[homepage]: http://contributor-covenant.org
+[version]: http://contributor-covenant.org/version/1/4/
diff --git a/legacy/Examples/README.rst b/Examples/README.rst
similarity index 100%
rename from legacy/Examples/README.rst
rename to Examples/README.rst
diff --git a/legacy/Examples/base/README.rst b/Examples/base/README.rst
similarity index 100%
rename from legacy/Examples/base/README.rst
rename to Examples/base/README.rst
diff --git a/legacy/Examples/base/plot_baseclass1.py b/Examples/base/plot_baseclass1.py
similarity index 100%
rename from legacy/Examples/base/plot_baseclass1.py
rename to Examples/base/plot_baseclass1.py
diff --git a/legacy/Examples/fitting/README.rst b/Examples/fitting/README.rst
similarity index 100%
rename from legacy/Examples/fitting/README.rst
rename to Examples/fitting/README.rst
diff --git a/LICENSE b/LICENSE
index c4e3e48e..f21bf746 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,6 +1,7 @@
 BSD 3-Clause License
 
-Copyright (c) 2021-2026 EasyScience contributors.
+Copyright (c) 2025, Easyscience contributors (https://github.com/EasyScience)
+All rights reserved.
 
 Redistribution and use in source and binary forms, with or without
 modification, are permitted provided that the following conditions are met:
diff --git a/legacy/PARAMETER_DEPENDENCY_SERIALIZATION.md b/PARAMETER_DEPENDENCY_SERIALIZATION.md
similarity index 73%
rename from legacy/PARAMETER_DEPENDENCY_SERIALIZATION.md
rename to PARAMETER_DEPENDENCY_SERIALIZATION.md
index 66a6659b..82bf0383 100644
--- a/legacy/PARAMETER_DEPENDENCY_SERIALIZATION.md
+++ b/PARAMETER_DEPENDENCY_SERIALIZATION.md
@@ -1,31 +1,19 @@
 # Parameter Dependency Serialization
 
-This document explains how to serialize and deserialize `Parameter`
-objects that have dependencies.
+This document explains how to serialize and deserialize `Parameter` objects that have dependencies.
 
 ## Overview
 
-Parameters with dependencies can now be serialized to dictionaries (and
-JSON) while preserving their dependency relationships. After
-deserialization, the dependencies are automatically reconstructed using
-the `serializer_id` attribute to match parameters, with `unique_name`
-attribute being used as a fallback.
+Parameters with dependencies can now be serialized to dictionaries (and JSON) while preserving their dependency relationships. After deserialization, the dependencies are automatically reconstructed using the `serializer_id` attribute to match parameters, with `unique_name` attribute being used as a fallback.
 
 ## Key Features
 
-- **Automatic dependency serialization**: Dependency expressions and
-  maps are automatically saved during serialization
-- **Reliable dependency resolution**: Dependencies are resolved using
-  stable `serializer_id` attributes with `unique_name` as fallback after
-  deserialization
-- **Order-independent loading**: Parameters can be loaded in any order
-  thanks to the reliable ID system
-- **Bulk dependency resolution**: Utility functions help resolve all
-  dependencies at once
-- **JSON compatibility**: Full support for JSON
-  serialization/deserialization
-- **Backward compatibility**: Existing code using `unique_name`
-  continues to work as fallback
+- **Automatic dependency serialization**: Dependency expressions and maps are automatically saved during serialization
+- **Reliable dependency resolution**: Dependencies are resolved using stable `serializer_id` attributes with `unique_name` as fallback after deserialization
+- **Order-independent loading**: Parameters can be loaded in any order thanks to the reliable ID system
+- **Bulk dependency resolution**: Utility functions help resolve all dependencies at once
+- **JSON compatibility**: Full support for JSON serialization/deserialization
+- **Backward compatibility**: Existing code using `unique_name` continues to work as fallback
 
 ## Usage
 
@@ -88,7 +76,7 @@ import json
 param_dict = parameter.as_dict()
 json_str = json.dumps(param_dict, default=str)
 
-# Deserialize from JSON
+# Deserialize from JSON  
 loaded_dict = json.loads(json_str)
 new_param = Parameter.from_dict(loaded_dict)
 
@@ -123,14 +111,11 @@ resolve_all_parameter_dependencies(new_params)
 
 ### Serialization
 
-During serialization, the following additional fields are added to
-dependent parameters:
+During serialization, the following additional fields are added to dependent parameters:
 
 - `_dependency_string`: The original dependency expression
-- `_dependency_map_serializer_ids`: A mapping of dependency keys to
-  stable dependency IDs (preferred)
-- `_dependency_map_unique_names`: A mapping of dependency keys to unique
-  names (fallback)
+- `_dependency_map_serializer_ids`: A mapping of dependency keys to stable dependency IDs (preferred)
+- `_dependency_map_unique_names`: A mapping of dependency keys to unique names (fallback)
 - `__serializer_id`: The parameter's own unique dependency ID
 - `_independent`: Boolean flag indicating if the parameter is dependent
 
@@ -139,31 +124,21 @@ dependent parameters:
 During deserialization:
 
 1. Parameters are created normally but marked as independent temporarily
-2. Dependency information is stored in `_pending_dependency_string`,
-   `_pending_dependency_map_serializer_ids`, and
-   `_pending_dependency_map_unique_names` attributes
-3. The parameter's own `__serializer_id` is restored from serialized
-   data
-4. After all parameters are loaded,
-   `resolve_all_parameter_dependencies()` establishes the dependency
-   relationships using dependency IDs first, then unique names as
-   fallback
+2. Dependency information is stored in `_pending_dependency_string`, `_pending_dependency_map_serializer_ids`, and `_pending_dependency_map_unique_names` attributes
+3. The parameter's own `__serializer_id` is restored from serialized data
+4. After all parameters are loaded, `resolve_all_parameter_dependencies()` establishes the dependency relationships using dependency IDs first, then unique names as fallback
 
 ### Dependency Resolution
 
 The dependency resolution process:
 
 1. Scans for parameters with pending dependencies
-2. First attempts to look up dependency objects by their stable
-   `serializer_id`
-3. Falls back to `unique_name` lookup in the global map if serializer_id
-   is not available
+2. First attempts to look up dependency objects by their stable `serializer_id`
+3. Falls back to `unique_name` lookup in the global map if serializer_id is not available
 4. Calls `make_dependent_on()` to establish the dependency relationship
 5. Cleans up temporary attributes
 
-This dual-strategy approach ensures reliable dependency resolution
-regardless of parameter loading order while maintaining backward
-compatibility.
+This dual-strategy approach ensures reliable dependency resolution regardless of parameter loading order while maintaining backward compatibility.
 
 ## Error Handling
 
@@ -177,20 +152,15 @@ The system provides detailed error messages for common issues:
 
 ### `resolve_all_parameter_dependencies(obj)`
 
-Recursively finds all Parameter objects with pending dependencies and
-resolves them.
+Recursively finds all Parameter objects with pending dependencies and resolves them.
 
 **Parameters:**
-
-- `obj`: Object to search for Parameters (can be Parameter, list, dict,
-  or complex object)
+- `obj`: Object to search for Parameters (can be Parameter, list, dict, or complex object)
 
 **Returns:**
-
 - None (modifies parameters in place)
 
 **Raises:**
-
 - `ValueError`: If dependency resolution fails
 
 ### `get_parameters_with_pending_dependencies(obj)`
@@ -198,37 +168,26 @@ resolves them.
 Finds all Parameter objects that have pending dependencies.
 
 **Parameters:**
-
 - `obj`: Object to search for Parameters
 
 **Returns:**
-
 - `List[Parameter]`: List of parameters with pending dependencies
 
 ## Best Practices
 
-1. **Always resolve dependencies after deserialization**: Use
-   `resolve_all_parameter_dependencies()` after loading serialized
-   parameters
+1. **Always resolve dependencies after deserialization**: Use `resolve_all_parameter_dependencies()` after loading serialized parameters
 
-2. **Handle the global map carefully**: The global map must contain all
-   referenced parameters for dependency resolution to work
+2. **Handle the global map carefully**: The global map must contain all referenced parameters for dependency resolution to work
 
-3. **Use unique names for cross-references**: When creating dependency
-   expressions that reference other parameters, consider using unique
-   names with quotes: `'Parameter_0'`
+3. **Use unique names for cross-references**: When creating dependency expressions that reference other parameters, consider using unique names with quotes: `'Parameter_0'`
 
-4. **Error handling**: Wrap dependency resolution in try-catch blocks
-   for robust error handling
+4. **Error handling**: Wrap dependency resolution in try-catch blocks for robust error handling
 
-5. **Bulk operations**: For complex object hierarchies, use the utility
-   functions to handle all parameters at once
+5. **Bulk operations**: For complex object hierarchies, use the utility functions to handle all parameters at once
 
-6. **Reliable ordering**: With the new dependency ID system, parameters
-   can be loaded in any order without affecting dependency resolution
+6. **Reliable ordering**: With the new dependency ID system, parameters can be loaded in any order without affecting dependency resolution
 
-7. **Access dependency ID**: Use `parameter.serializer_id` to access the
-   stable ID for debugging or manual cross-referencing
+7. **Access dependency ID**: Use `parameter.serializer_id` to access the stable ID for debugging or manual cross-referencing
 
 ## Example: Complex Hierarchy
 
@@ -242,18 +201,16 @@ def save_model(model):
 def load_model(filename):
     \"\"\"Load a model from JSON and resolve dependencies.\"\"\"
     global_object.map._clear()  # Start fresh
-
+    
     with open(filename) as f:
         model_dict = json.load(f)
-
+    
     model = Model.from_dict(model_dict)
-
+    
     # Resolve all parameter dependencies
     resolve_all_parameter_dependencies(model)
-
+    
     return model
 ```
 
-This system ensures that complex parameter hierarchies with dependencies
-can be reliably serialized and reconstructed while maintaining their
-behavioral relationships.
+This system ensures that complex parameter hierarchies with dependencies can be reliably serialized and reconstructed while maintaining their behavioral relationships.
\ No newline at end of file
diff --git a/README.md b/README.md
index 15bf48f8..b41a80be 100644
--- a/README.md
+++ b/README.md
@@ -1,44 +1,45 @@
-<p>
-  <picture>
-    <!-- light mode logo -->
-    <source media='(prefers-color-scheme: light)' srcset='https://raw.githubusercontent.com/easyscience/assets-branding/refs/heads/master/easyscience/logos/light.svg'>
-    <!-- dark mode logo -->
-    <source media='(prefers-color-scheme: dark)' srcset='https://raw.githubusercontent.com/easyscience/assets-branding/refs/heads/master/easyscience/logos/dark.svg'>
-    <!-- default logo == light mode logo -->
-    <img src='https://raw.githubusercontent.com/easyscience/assets-branding/refs/heads/master/easyscience/logos/light.svg' alt='EasyScience'>
-  </picture>
-</p>
-
-**EasyScience** is the foundation of the framework, providing reusable
-building blocks for scientific libraries and applications aimed at
-making data analysis easier.
-
-<!-- HOME REPOSITORY SECTION -->
-
-**EasyScience** is developed as a Python library.
-
-License:
-[BSD 3-Clause](https://github.com/easyscience/core/blob/master/LICENSE)
-
-## Useful Links
-
-### For Users
-
-- 📖 [Documentation](https://easyscience.github.io/core/latest)
-- 🚀
-  [Getting Started](https://easyscience.github.io/core/latest/introduction)
-- 🧪 [Tutorials](https://easyscience.github.io/core/latest/tutorials)
-- 💬
-  [Get in Touch](https://easyscience.github.io/core/latest/introduction/#get-in-touch)
-- 🧾
-  [Citation](https://easyscience.github.io/core/latest/introduction/#citation)
-
-### For Contributors
-
-- 🧑‍💻 [Source Code](https://github.com/easyscience/core)
-- 🐞 [Issue Tracker](https://github.com/easyscience/core/issues)
-- 💡 [Discussions](https://github.com/easyscience/core/discussions)
-- 🤝
-  [Contributing Guide](https://github.com/easyscience/core/blob/master/CONTRIBUTING.md)
-- 🛡
-  [Code of Conduct](https://github.com/easyscience/.github/blob/master/CODE_OF_CONDUCT.md)
+[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg)](CODE_OF_CONDUCT.md)
+[![PyPI badge](http://img.shields.io/pypi/v/EasyScience.svg)](https://pypi.python.org/pypi/EasyScience)
+[![License: BSD 3-Clause](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](LICENSE)
+[![codecov](https://codecov.io/github/EasyScience/corelib/graph/badge.svg?token=wc6Q0j0Q9t)](https://codecov.io/github/EasyScience/corelib)
+
+# Easyscience
+
+## About
+
+EasyScience package is the foundation of the EasyScience family of projects, providing the building blocks for libraries and applications
+which aim to make scientific data simulation and analysis easier.
+
+## Install
+
+**EasyScience** can be downloaded using pip:
+
+```pip install easyscience```
+
+Or direct from the repository:
+
+```pip install https://github.com/easyScience/EasyScience```
+
+### Development
+
+For development setup and workflow instructions, please see [CONTRIBUTING.md](CONTRIBUTING.md).
+
+## Test
+
+After installation, launch the test suite:
+
+```python -m pytest```
+
+## Documentation
+
+Documentation can be found at:
+
+[https://easyScience.github.io/corelib](https://easyScience.github.io/corelib)
+
+## Contributing
+We absolutely welcome contributions. **EasyScience** is maintained by the ESS and on a volunteer basis and thus we need to foster a community that can support user questions and develop new features to make this software a useful tool for all users while encouraging every member of the community to share their ideas.
+
+## License
+While **EasyScience** is under the BSD-3 license, DFO-LS is subject to the GPL license.
+
+
diff --git a/codecov.yml b/codecov.yml
deleted file mode 100644
index f62b13ab..00000000
--- a/codecov.yml
+++ /dev/null
@@ -1,13 +0,0 @@
-# Codecov configuration
-# https://docs.codecov.com/docs/codecovyml-reference
-
-coverage:
-  status:
-    project:
-      default:
-        # Make project coverage informational (won't block PR)
-        informational: true
-    patch:
-      default:
-        # Require patch coverage but with threshold
-        threshold: 1%
diff --git a/docs/Makefile b/docs/Makefile
new file mode 100644
index 00000000..1a27587e
--- /dev/null
+++ b/docs/Makefile
@@ -0,0 +1,20 @@
+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line.
+SPHINXOPTS    =
+SPHINXBUILD   = sphinx-build
+SPHINXPROJ    = EasyScience
+SOURCEDIR     = ./src
+BUILDDIR      = _build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
\ No newline at end of file
diff --git a/docs/docs/api-reference/base_classes.md b/docs/docs/api-reference/base_classes.md
deleted file mode 100644
index 687749a2..00000000
--- a/docs/docs/api-reference/base_classes.md
+++ /dev/null
@@ -1 +0,0 @@
-::: easyscience.base_classes
diff --git a/docs/docs/api-reference/fitting.md b/docs/docs/api-reference/fitting.md
deleted file mode 100644
index ca21c5e6..00000000
--- a/docs/docs/api-reference/fitting.md
+++ /dev/null
@@ -1 +0,0 @@
-::: easyscience.fitting
diff --git a/docs/docs/api-reference/global_object.md b/docs/docs/api-reference/global_object.md
deleted file mode 100644
index 6e6987a8..00000000
--- a/docs/docs/api-reference/global_object.md
+++ /dev/null
@@ -1 +0,0 @@
-::: easyscience.global_object
diff --git a/docs/docs/api-reference/index.md b/docs/docs/api-reference/index.md
deleted file mode 100644
index 4bd6f561..00000000
--- a/docs/docs/api-reference/index.md
+++ /dev/null
@@ -1,26 +0,0 @@
----
-icon: material/code-braces-box
----
-
-# :material-code-braces-box: API Reference
-
-This section contains the reference detailing the functions and modules
-available in EasyScience.
-
-- [base_classes](base_classes.md) – Core abstract and helper base
-  classes used to build EasyScience objects (e.g. `ObjBase`,
-  `ModelBase`).
-- [fitting](fitting.md) – Fitting utilities and interfaces, including
-  `Fitter` and available minimizers.
-- [global_object](global_object.md) – Global singleton providing shared
-  services (logger, map, undo/redo stack, script manager).
-- [io](io.md) – Serialization and deserialization framework for
-  persisting EasyScience objects (serializers and components).
-- [job](job.md) – Job and experiment abstractions for running and
-  organizing analyses.
-- [models](models.md) – Predefined model implementations (e.g.
-  polynomial models) used in fitting workflows.
-- [utils](utils.md) – Miscellaneous utility functions and helpers (class
-  tools, decorators, type helpers).
-- [variable](variable.md) – Descriptor types and variable abstractions
-  (e.g. `DescriptorNumber`, `Parameter`, `DescriptorArray`).
diff --git a/docs/docs/api-reference/io.md b/docs/docs/api-reference/io.md
deleted file mode 100644
index f06a9356..00000000
--- a/docs/docs/api-reference/io.md
+++ /dev/null
@@ -1 +0,0 @@
-::: easyscience.io
diff --git a/docs/docs/api-reference/job.md b/docs/docs/api-reference/job.md
deleted file mode 100644
index c743ba62..00000000
--- a/docs/docs/api-reference/job.md
+++ /dev/null
@@ -1 +0,0 @@
-::: easyscience.job
diff --git a/docs/docs/api-reference/models.md b/docs/docs/api-reference/models.md
deleted file mode 100644
index 2471f604..00000000
--- a/docs/docs/api-reference/models.md
+++ /dev/null
@@ -1 +0,0 @@
-::: easyscience.models
diff --git a/docs/docs/api-reference/utils.md b/docs/docs/api-reference/utils.md
deleted file mode 100644
index d703ac5f..00000000
--- a/docs/docs/api-reference/utils.md
+++ /dev/null
@@ -1 +0,0 @@
-::: easyscience.utils
diff --git a/docs/docs/api-reference/variable.md b/docs/docs/api-reference/variable.md
deleted file mode 100644
index e55a4ee0..00000000
--- a/docs/docs/api-reference/variable.md
+++ /dev/null
@@ -1 +0,0 @@
-::: easyscience.variable
diff --git a/docs/docs/assets/images/favicon.png b/docs/docs/assets/images/favicon.png
deleted file mode 100644
index 1cdd9d9e..00000000
Binary files a/docs/docs/assets/images/favicon.png and /dev/null differ
diff --git a/docs/docs/assets/images/logo_dark.svg b/docs/docs/assets/images/logo_dark.svg
deleted file mode 100644
index 980c3174..00000000
--- a/docs/docs/assets/images/logo_dark.svg
+++ /dev/null
@@ -1,34 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<svg viewBox="0 0 165 65" xmlns="http://www.w3.org/2000/svg" xmlns:bx="https://boxy-svg.com" height="65px">
-  <defs>
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-      <stop offset="0" style="stop-color: rgb(0, 170, 237);"/>
-      <stop offset="1" style="stop-color: rgb(0, 145, 202);"/>
-    </radialGradient>
-    <linearGradient id="gradient-0" gradientUnits="userSpaceOnUse" x1="330" y1="0" x2="330" y2="660" gradientTransform="matrix(0.980745, -0.195296, 0.195753, 0.983035, -58.734308, 67.665557)">
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-      <stop offset="1" style="stop-color: rgb(78, 193, 239);"/>
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-    <bx:grid x="0" y="0" width="186" height="80"/>
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-    <g transform="matrix(0.283555, 0, 0, 0.283555, 3.122751, 1.671054)">
-      <title>Logo</title>
-      <circle style="fill: url(&quot;#gradient-1&quot;); stroke: url(&quot;#gradient-0&quot;); paint-order: fill; stroke-width: 10.3125px;" cx="329.929" cy="326.968" r="330">
-        <title>Main circle</title>
-      </circle>
-      <g transform="matrix(0.902343, 0, 0, 0.902343, -168.322601, 413.713196)">
-        <title>Inner circles</title>
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deleted file mode 100644
index dd3fc356..00000000
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deleted file mode 100644
index a92ce69a..00000000
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deleted file mode 100644
index a625be80..00000000
--- a/docs/docs/assets/stylesheets/extra.css
+++ /dev/null
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diff --git a/docs/docs/index.md b/docs/docs/index.md
deleted file mode 100644
index 5a3e9727..00000000
--- a/docs/docs/index.md
+++ /dev/null
@@ -1,21 +0,0 @@
-![](assets/images/logo_dark.svg#gh-dark-mode-only)![](assets/images/logo_light.svg#gh-light-mode-only)
-
-# Core building blocks for EasyScience
-
-Here is a brief overview of the main documentation sections:
-
-- [:material-information-slab-circle: Introduction](introduction/index.md)
-  – Provides a description of EasyScience, including its purpose,
-  licensing, latest release details, and contact information.
-- [:material-cog-box: Installation & Setup](installation-and-setup/index.md)
-  – Guides users through system requirements, environment configuration,
-  and the installation process.
-- [:material-book-open-variant: User Guide](user-guide/index.md) –
-  Covers core concepts, key terminology, workflow steps, and essential
-  parameters for effective use of EasyScience.
-- [:material-school: Tutorials](tutorials/index.md) – Offers practical,
-  step-by-step examples demonstrating common workflows and data analysis
-  tasks.
-- [:material-code-braces-box: API Reference](api-reference/index.md) –
-  An auto-generated reference detailing the available functions and
-  modules in EasyScience.
diff --git a/docs/docs/installation-and-setup/index.md b/docs/docs/installation-and-setup/index.md
deleted file mode 100644
index 64064d08..00000000
--- a/docs/docs/installation-and-setup/index.md
+++ /dev/null
@@ -1,281 +0,0 @@
----
-icon: material/cog-box
----
-
-# :material-cog-box: Installation & Setup
-
-**EasyScience** is a cross-platform Python library compatible with
-**Python 3.11** through **3.13**.
-
-To install and set up EasyScience, we recommend using
-[**Pixi**](https://pixi.prefix.dev), a modern package manager for
-Windows, macOS, and Linux.
-
-??? note "Main benefits of using Pixi"
-
-    - **Ease of use**: Pixi simplifies the installation process, making it
-      accessible even for users with limited experience in package management.
-    - **Python version control**: Pixi allows specifying and managing different
-      Python versions for each project, ensuring compatibility.
-    - **Isolated environments**: Pixi creates isolated environments for each
-      project, preventing conflicts between different package versions.
-    - **PyPI and Conda support**: Pixi can install packages from both PyPI and
-      Conda repositories, providing access to a wide range of libraries.
-
-An alternative installation method using the traditional **pip** package
-manager is also provided.
-
-## Installing with Pixi <small>recommended</small> { #installing-with-pixi data-toc-label="Installing with Pixi" }
-
-This section describes the simplest way to set up EasyScience using
-**Pixi**.
-
-#### Installing Pixi
-
-- Install Pixi by following the instructions on the
-  [official Pixi Installation Guide](https://pixi.prefix.dev/latest/installation).
-
-#### Setting up EasyScience with Pixi
-
-<!-- prettier-ignore-start -->
-
-- Choose a project location (local drive recommended).
-
-    ??? warning ":fontawesome-brands-windows: Windows + OneDrive"
-
-        We **do not recommend creating a Pixi project inside OneDrive or other
-        synced folders**.
-
-        By default, Pixi creates the virtual environment inside the project
-        directory (in `.pixi/`). On Windows, synced folders such as OneDrive
-        may cause file‑system issues (e.g., path-length limitations or
-        restricted link operations), which can lead to unexpected install
-        errors or environments being recreated.
-
-        Instead, create your project in a **local directory on your drive**
-        where you have full write permissions.
-
-<!-- prettier-ignore-end -->
-
-- Initialize a new Pixi project and navigate into it:
-  ```txt
-  pixi init easyscience
-  cd easyscience
-  ```
-- Set the Python version for the Pixi environment (e.g., 3.13):
-  ```txt
-  pixi add python=3.13
-  ```
-- Add EasyScience to the Pixi environment from PyPI:
-  ```txt
-  pixi add --pypi easyscience
-  ```
-- Add a Pixi task to run EasyScience commands easily:
-  ```txt
-  pixi task add easyscience "python -m easyscience"
-  ```
-
-#### Updating Pixi and EasyScience
-
-- To update all packages in the Pixi environment, including EasyScience:
-  ```txt
-  pixi update
-  ```
-- To update Pixi itself to the latest version:
-  ```txt
-  pixi self-update
-  ```
-
-#### Uninstalling Pixi
-
-- Follow the
-  [official Pixi Guide](https://pixi.prefix.dev/latest/installation/#uninstall).
-
-## Classical Installation
-
-This section describes how to install EasyScience using the traditional
-method with **pip**. It is assumed that you are familiar with Python
-package management and virtual environments.
-
-### Environment Setup <small>optional</small> { #environment-setup data-toc-label="Environment Setup" }
-
-We recommend using a **virtual environment** to isolate dependencies and
-avoid conflicts with system-wide packages. If any issues arise, you can
-simply delete and recreate the environment.
-
-#### Creating and Activating a Virtual Environment:
-
-<!-- prettier-ignore-start -->
-
-- Create a new virtual environment:
-  ```txt
-  python3 -m venv venv
-  ```
-- Activate the environment:
-
-    === ":material-apple: macOS"
-        ```txt
-        . venv/bin/activate
-        ```
-    === ":material-linux: Linux"
-        ```txt
-        . venv/bin/activate
-        ```
-    === ":fontawesome-brands-windows: Windows"
-        ```txt
-        . venv/Scripts/activate      # Windows with Unix-like shells
-        .\venv\Scripts\activate.bat  # Windows with CMD
-        .\venv\Scripts\activate.ps1  # Windows with PowerShell
-        ```
-
-- The terminal should now show `(venv)`, indicating that the virtual environment
-  is active.
-
-<!-- prettier-ignore-end -->
-
-#### Deactivating and Removing the Virtual Environment:
-
-<!-- prettier-ignore-start -->
-
-- Exit the environment:
-  ```txt
-  deactivate
-  ```
-- If this environment is no longer needed, delete it:
-
-    === ":material-apple: macOS"
-        ```txt
-        rm -rf venv
-        ```
-    === ":material-linux: Linux"
-        ```txt
-        rm -rf venv
-        ```
-    === ":fontawesome-brands-windows: Windows"
-        ```txt
-        rmdir /s /q venv
-        ```
-
-<!-- prettier-ignore-end -->
-
-### Installing from PyPI { #from-pypi }
-
-EasyScience is available on **PyPI (Python Package Index)** and can be
-installed using `pip`. To do so, use the following command:
-
-```txt
-pip install easyscience
-```
-
-To install a specific version of EasyScience, e.g., 1.0.3:
-
-```txt
-pip install 'easyscience==1.0.3'
-```
-
-To upgrade to the latest version:
-
-```txt
-pip install --upgrade easyscience
-```
-
-To upgrade to the latest version and force reinstallation of all
-dependencies (useful if files are corrupted):
-
-```txt
-pip install --upgrade --force-reinstall easyscience
-```
-
-To check the installed version:
-
-```txt
-pip show easyscience
-```
-
-### Installing from GitHub <small>alternative</small> { #from-github data-toc-label="Installing from GitHub" }
-
-Installing unreleased versions is generally not recommended but may be
-useful for testing.
-
-To install EasyScience from the `develop` branch of GitHub, for example:
-
-```txt
-pip install git+https://github.com/easyscience/core@develop
-```
-
-To include extra dependencies (e.g., dev):
-
-```txt
-pip install 'easyscience[dev] @ git+https://github.com/easyscience/core@develop'
-```
-
-## How to Run Tutorials
-
-EasyScience includes a collection of **Jupyter Notebook examples** that
-demonstrate key functionality. These tutorials serve as **step-by-step
-guides** to help users understand the data analysis workflow. They are
-available as **static HTML pages** in the
-[:material-school: Tutorials](../tutorials/index.md) section.
-
-In the next sections, we explain how to set up Jupyter and run the
-tutorials interactively in two different ways: locally or online via
-Google Colab.
-
-If you decide to run the tutorials locally, you need to download them
-first. This can be done individually via the :material-download:
-**Download Notebook** button available on each tutorial page, or all at
-once using the command line, as shown below.
-
-### Run Tutorials Locally with Pixi <small>recommended</small> { #running-with-pixi data-toc-label="Run Tutorials Locally with Pixi" }
-
-- Navigate to your existing Pixi project, created as described in the
-  [Installing with Pixi](#installing-with-pixi) section.
-- Add JupyterLab and the Pixi kernel for Jupyter:
-  ```txt
-  pixi add --pypi jupyterlab pixi-kernel
-  ```
-- Download all the EasyScience tutorials to the `tutorials/` directory:
-  ```txt
-  pixi run easyscience download-all-tutorials
-  ```
-- Start JupyterLab in the `tutorials/` directory to access the
-  notebooks:
-  ```txt
-  pixi run jupyter lab tutorials/
-  ```
-- Your web browser should open automatically. Click on one of the
-  `*.ipynb` files and select the `Python (Pixi)` kernel to get started.
-
-### Classical Run Tutorials Locally
-
-- Install Jupyter Notebook and IPython kernel:
-  ```txt
-  pip install notebook ipykernel
-  ```
-- Add the virtual environment as a Jupyter kernel:
-  ```txt
-  python -m ipykernel install --user --name=venv --display-name "EasyScience Python kernel"
-  ```
-- Download all the EasyScience tutorials to the `tutorials/` directory:
-  ```txt
-  python -m easyscience download-all-tutorials
-  ```
-- Launch the Jupyter Notebook server (opens browser automatically at
-  `http://localhost:8888/`):
-  ```txt
-  jupyter notebook tutorials/
-  ```
-- Open one of the `*.ipynb` files and select the
-  `EasyScience Python kernel` to get started.
-
-### Run Tutorials via Google Colab
-
-**Google Colab** lets you run Jupyter Notebooks in the cloud without any
-local installation. This is the fastest way to start experimenting with
-EasyScience.
-
-- Ensure you have a **Google account**.
-- Go to the **[:material-school: Tutorials](../tutorials/index.md)**
-  section.
-- Click the :google-colab: **Open in Google Colab** button on any
-  tutorial.
diff --git a/docs/docs/introduction/index.md b/docs/docs/introduction/index.md
deleted file mode 100644
index b95b6de3..00000000
--- a/docs/docs/introduction/index.md
+++ /dev/null
@@ -1,67 +0,0 @@
----
-icon: material/information-slab-circle
----
-
-# :material-information-slab-circle: Introduction
-
-## Description
-
-**EasyScience** is the foundation of the framework, providing reusable
-building blocks for scientific libraries and applications aimed at
-making data analysis easier.
-
-**EasyScience** is developed as a Python library.
-
-<!--
-**EasyScience** is developed using the
-[EasyScience framework](https://easyscience.org).
--->
-
-## License
-
-**EasyScience** library is released under the
-[BSD 3-Clause License](https://raw.githubusercontent.com/easyscience/core/master/LICENSE).
-
-## Releases
-
-The latest version of the **EasyScience** library is
-[{{ vars.release_version }}](https://github.com/easyscience/core/releases/latest).
-
-For a complete list of new features, bug fixes, and improvements, see
-the
-[GitHub Releases page](https://github.com/easyscience/core/releases).
-
-## Citation
-
-If you use **EasyScience** library in your work, please cite the
-specific version you used.
-
-All official releases of the **EasyScience** library are archived on
-Zenodo, each with a version-specific Digital Object Identifier (DOI).
-
-Citation details in various styles (e.g., APA, MLA) and formats (e.g.,
-BibTeX, JSON) are available on the
-[Zenodo archive page](https://doi.org/10.5281/zenodo.18163581).
-
-## Contributing
-
-We welcome contributions of any kind!
-
-**EasyScience** is intended to be a community-driven, open-source
-project supported by a diverse group of contributors.
-
-The project is maintained by the
-[European Spallation Source (ESS)](https://ess.eu).
-
-If you would like to report a bug or request a new feature, please use
-the [GitHub Issue Tracker](https://github.com/easyscience/core/issues)
-(A free GitHub account is required.)
-
-To contribute code, documentation, or tests, please see our
-[:material-account-plus: Contributing Guidelines](https://github.com/easyscience/core/blob/master/CONTRIBUTING.md)
-for detailed development instructions.
-
-## Get in Touch
-
-For general questions or feedback, please contact us at
-[support@easyscience.org](mailto:support@easyscience.org).
diff --git a/docs/docs/tutorials/fitting-qens.ipynb b/docs/docs/tutorials/fitting-qens.ipynb
deleted file mode 100644
index a4929a5c..00000000
--- a/docs/docs/tutorials/fitting-qens.ipynb
+++ /dev/null
@@ -1,359 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib widget"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1",
-   "metadata": {},
-   "source": [
-    "# Fitting QENS data\n",
-    "\n",
-    "Some quasi-elastic neutron scattering (QENS) data has been simulated and reduced and can now be analysed with `easyscience`.\n",
-    "Before the analysis can begin, it is necessary to load the experimental data and check that it looks reasonable. \n",
-    "The data can be loaded with `np.loadtxt` as the data has been stored in a simple space-separated column file."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import pandas as pd"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def fetch_data(name: str) -> str:\n",
-    "    \"\"\"\n",
-    "    Fetch pre-prepared data from a remote source and return the path to the file.\n",
-    "    \"\"\"\n",
-    "    import pooch\n",
-    "\n",
-    "    return pooch.retrieve(\n",
-    "        url=f'https://public.esss.dk/groups/scipp/dmsc-summer-school/2025/{name}',\n",
-    "        known_hash=None,\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "filename = fetch_data('4-reduction/energy_transfer_QENS_unknown_quasi_elastic_many_neutrons.dat')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def load(filename: str):\n",
-    "    \"\"\"\n",
-    "    Load data from a file. Filter out any NaN values.\n",
-    "    \"\"\"\n",
-    "    x, y, e = np.loadtxt(filename, unpack=True)\n",
-    "    sel = np.isfinite(y)\n",
-    "    return x[sel], y[sel], e[sel]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "q, i, di = load(filename)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "7",
-   "metadata": {},
-   "source": [
-    "With the data read in, we can produce a quick plot. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "fig, ax = plt.subplots()\n",
-    "ax.errorbar(q, i, di, fmt='.')\n",
-    "ax.set(xlabel='$\\\\omega$/meV', ylabel='$I(\\\\omega)$')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9",
-   "metadata": {},
-   "source": [
-    "The QENS data covers a slightly broader range than we want to investigate.\n",
-    "Therefore, we will crop the data so that we are only using points between -0.06 and 0.06 meV. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "10",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sel = (q > -0.06) & (q < 0.06)\n",
-    "q, i, di = q[sel], i[sel], di[sel]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "11",
-   "metadata": {},
-   "source": [
-    "We now want to consider the mathematical model to be used in the analysis. \n",
-    "QENS data is typically analysed by fitting a Lorentzian function to the data, which has the functional form\n",
-    "\n",
-    "$$\n",
-    "I(\\omega) = \\frac{A\\gamma}{\\pi\\big[(\\omega - \\omega_0) ^ 2 + \\gamma ^ 2\\big]},\n",
-    "$$ (lorentzian)\n",
-    "\n",
-    "where $A$ is a scale factor, $\\gamma$ is the half-width at half-maximum, and $\\omega_0$ is the centre offset. \n",
-    "\n",
-    "## Exercise 1: implement a Lorentzian function\n",
-    "\n",
-    "Write a function that implements Eqn. {eq}`lorentzian`, called `lorentzian`. \n",
-    "\n",
-    "**Solution:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "12",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def lorentzian(omega: np.ndarray) -> np.ndarray:\n",
-    "    \"\"\"\n",
-    "    A Lorentzian function.\n",
-    "\n",
-    "    :omega: the energy transfer values to calculate over.\n",
-    "\n",
-    "    :return: intensity values.\n",
-    "    \"\"\"\n",
-    "    return A.value / np.pi * gamma.value / ((omega - omega_0.value) ** 2 + gamma.value**2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "13",
-   "metadata": {},
-   "source": [
-    "The instrument has a finite resolution, and to take this into account, the Lorentzian function must be convolved with this resolution. In our case, the resolution is a Gaussian distribution that is centred at zero with width, $\\sigma$. \n",
-    "In real experiments there are ways to measure $\\sigma$, but for this project, we will simply model it. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "14",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from scipy.stats import norm\n",
-    "\n",
-    "\n",
-    "def intensity(omega):\n",
-    "    \"\"\"\n",
-    "    The convolution of a Gaussian and the Lorentzian.\n",
-    "\n",
-    "    :omega: the energy transfer values to calculate over.\n",
-    "\n",
-    "    :return: intensity values.\n",
-    "    \"\"\"\n",
-    "    gauss = norm(0, sigma.value).pdf(omega)\n",
-    "    gauss /= gauss.sum()\n",
-    "    return np.convolve(lorentzian(omega), gauss, 'same')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "15",
-   "metadata": {},
-   "source": [
-    "This means that there are a total of four parameters in our model. \n",
-    "\n",
-    "## Exercise 2: create fitting parameters\n",
-    "\n",
-    "Create four `Parameter` objects, for $A$, $\\gamma$, $\\omega_0$, and $\\sigma$.\n",
-    "\n",
-    "Each should have an initial value and a uniform prior distribution, based on the values given in {numref}`qens-parameters`."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "16",
-   "metadata": {},
-   "source": [
-    "| Parameter | Initial Value | Min | Max |\n",
-    "| --- | --- | --- | --- |\n",
-    "| $A$ | 10 | 1 | 100 |\n",
-    "| $\\gamma$ | 8.0 &times; 10<sup>-3</sup> | 1.0 &times; 10<sup>-4</sup> | 1.0 &times; 10<sup>-2</sup> |\n",
-    "| $\\omega_0$ | 1.0 &times; 10<sup>-3</sup> | 0 | 2.0 &times; 10<sup>-3</sup> |\n",
-    "| $\\sigma$ | 1.0 &times; 10<sup>-3</sup> | 1.0 &times; 10<sup>-5</sup> | 1.0 &times; 10<sup>-1</sup> |\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "17",
-   "metadata": {},
-   "source": [
-    "**Solution:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "18",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from easyscience import Parameter\n",
-    "\n",
-    "A = Parameter(name='A', value=10, fixed=False, min=0.01, max=100)\n",
-    "gamma = Parameter(name='gamma', value=8e-3, fixed=False, min=1e-4, max=10e-3)\n",
-    "omega_0 = Parameter(name='omega_0', value=0.001, fixed=False, min=0, max=0.002)\n",
-    "sigma = Parameter(name='sigma', value=0.001, fixed=False, min=1e-5, max=0.1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "19",
-   "metadata": {},
-   "source": [
-    "It is now possible to compare our model at the initial estimates to the simulated data. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "20",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fig, ax = plt.subplots()\n",
-    "ax.errorbar(q, i, di, fmt='.')\n",
-    "ax.plot(q, intensity(q), '-k', zorder=10)\n",
-    "ax.set(xlabel='$\\\\omega$/meV', ylabel='$I(\\\\omega)$')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "21",
-   "metadata": {},
-   "source": [
-    "## Exercise 3: find maximum likelihood estimates\n",
-    "\n",
-    "Using `easyscience`, obtain maximum likelihood estimates for the four parameters of the model from comparison with the data.\n",
-    "\n",
-    "**Solution:**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "22",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from easyscience import Fitter\n",
-    "from easyscience import ObjBase\n",
-    "\n",
-    "params = ObjBase(name='params', A=A, gamma=gamma, omega_0=omega_0, sigma=sigma)\n",
-    "f = Fitter(params, intensity)\n",
-    "\n",
-    "res = f.fit(x=q, y=i, weights=1 / di)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "23",
-   "metadata": {},
-   "source": [
-    "We can then plot the model and the data together as before and print the values of the parameters along with their uncertainties. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "24",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fig, ax = plt.subplots()\n",
-    "ax.errorbar(q, i, di, fmt='.')\n",
-    "ax.plot(q, intensity(q), '-k', zorder=10)\n",
-    "ax.set(xlabel='$\\\\omega$/meV', ylabel='$I(\\\\omega)$')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "25",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "A, gamma, omega_0, sigma"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python (Pixi)",
-   "language": "python",
-   "name": "pixi-kernel-python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/docs/tutorials/fitting-sans.ipynb b/docs/docs/tutorials/fitting-sans.ipynb
deleted file mode 100644
index 06b0cc36..00000000
--- a/docs/docs/tutorials/fitting-sans.ipynb
+++ /dev/null
@@ -1,349 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib widget"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1",
-   "metadata": {},
-   "source": [
-    "# Fitting SANS data\n",
-    "\n",
-    "Some small angle neutron scattering (SANS) data has been simulated and reduced, and can now be analysed with `easyscience`.\n",
-    "Before the analysis can begin, it is necessary to load the experimental data and check that it looks reasonable. \n",
-    "The data can be loaded with `np.loadtxt` as the data has been stored in a simple space-separated column file. \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def fetch_data(name: str) -> str:\n",
-    "    \"\"\"\n",
-    "    Fetch pre-prepared data from a remote source and return the path to the file.\n",
-    "    \"\"\"\n",
-    "    import pooch\n",
-    "\n",
-    "    return pooch.retrieve(\n",
-    "        url=f'https://public.esss.dk/groups/scipp/dmsc-summer-school/2025/{name}',\n",
-    "        known_hash=None,\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "filename = fetch_data('4-reduction/sans_iofq.dat')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def load(filename: str):\n",
-    "    \"\"\"\n",
-    "    Load data from a file. Filter out any NaN values.\n",
-    "    \"\"\"\n",
-    "    x, y, e = np.loadtxt(filename, unpack=True)\n",
-    "    sel = np.isfinite(y)\n",
-    "    return x[sel], y[sel], e[sel]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "q, i, di = load(filename)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "7",
-   "metadata": {},
-   "source": [
-    "With the data read in, we can produce a quick plot. \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "fig, ax = plt.subplots()\n",
-    "ax.errorbar(q, i, di, fmt='.')\n",
-    "ax.set(yscale='log', xlabel='$q$/Å^-1', ylabel='I(q)')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9",
-   "metadata": {},
-   "source": [
-    "We now want to consider the mathematical model to be used in the analysis. \n",
-    "There are SANS models a range of different systems, see for instance [the models in SasView](https://www.sasview.org/docs/user/qtgui/Perspectives/Fitting/models/index.html). \n",
-    "However, initially, we will assume that our data has arisen from a spherical system. \n",
-    "\n",
-    "The mathematical model for a sphere is \n",
-    "\n",
-    "$$\n",
-    "I(q) = \\frac{\\text{scale}}{V} \\bigg(\\frac{3 V \\Delta \\rho [\\sin{(qr)} - qr \\cos{(qr)}]}{(qr)^3}\\bigg)^2 + \\text{bkg}, \n",
-    "$$ (sphere)\n",
-    "\n",
-    "where $\\text{scale}$ is a scale factor, $V$ is the volume of the sphere, $\\Delta \\rho$ is the difference between the solvent and particle scattering length density, $r$ is the radius of the sphere, $\\text{bkg}$ is a uniform background, and $q$ is the *q*-vector that the intensity is being calculated for.\n",
-    "\n",
-    "## Exercise 1: simplify the expression\n",
-    "\n",
-    "The mathematical model described in Eqn. {eq}`sphere` has five parameters. \n",
-    "What simple mathematical simplification can be performed to reduce this to four?\n",
-    "\n",
-    "**Solution:**\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "10",
-   "metadata": {},
-   "source": [
-    "The volume of a sphere is related to the radius of the sphere as\n",
-    "\n",
-    "$$\n",
-    "V = \\frac{4}{3} \\pi r^3. \n",
-    "$$ (volume-sphere)\n",
-    "\n",
-    "Therefore, the parameter $V$ can be replaced with Eqn. {eq}`volume-sphere`.\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "11",
-   "metadata": {},
-   "source": [
-    "## Exercise 2: write a function that computes for the form factor of a sphere\n",
-    "\n",
-    "Four parameters is a suitable number for modelling. \n",
-    "Therefore, we should write a function that implements your reduced dimensionality version of Eqn. {eq}`sphere`.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "12",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def sphere(q):\n",
-    "    \"\"\"\n",
-    "    The function for the form factor of a sphere.\n",
-    "\n",
-    "    Parameters\n",
-    "    ----------\n",
-    "    q:\n",
-    "        q-vectors to calculate for.\n",
-    "\n",
-    "    Returns\n",
-    "    -------\n",
-    "    :\n",
-    "        The modelled intensity.\n",
-    "    \"\"\"\n",
-    "    qr = q * r.value\n",
-    "    V = 4 / 3 * np.pi * r.value**3\n",
-    "    return (\n",
-    "        scale.value\n",
-    "        / V\n",
-    "        * (3 * V * delta_rho.value * (np.sin(qr) - qr * np.cos(qr)) / ((qr) ** 3)) ** 2\n",
-    "        + bkg.value\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "13",
-   "metadata": {},
-   "source": [
-    "## Exercise 3: create fitting parameters\n",
-    "\n",
-    "Create four `Parameter` objects, for $\\text{scale}$, $\\Delta \\rho$,\n",
-    "$r$, and $\\text{bkg}$.\n",
-    "\n",
-    "Each should have an initial value and a uniform prior distribution\n",
-    "based on the values given in {numref}`sans-parameters`, except for the\n",
-    "$\\text{scale}$ which should be fixed to a value of 1.4 &times; 10<sup>-7</sup>.\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "14",
-   "metadata": {},
-   "source": [
-    "| Parameter | Initial Value | Min | Max |\n",
-    "| --- | --- | --- | --- |\n",
-    "| $\\text{scale}$ | 1.4 &times; 10<sup>-7</sup> | N/A | N/A |\n",
-    "| $\\Delta \\rho$ | 3 | 0 | 10 |\n",
-    "| $r$ | 80 | 10 | 1000 |\n",
-    "| $\\text{bkg}$ | 3.0 &times; 10<sup>-3</sup> | 1.0 &times; 10<sup>-3</sup> | 1.0 &times; 10<sup>-2</sup> |\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "15",
-   "metadata": {},
-   "source": [
-    "**Solution:**\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "16",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from easyscience import Parameter\n",
-    "\n",
-    "scale = Parameter(name='scale', value=1.4e-7, fixed=True)\n",
-    "delta_rho = Parameter(name='delta_rho', value=3, fixed=False, min=0, max=10)\n",
-    "r = Parameter(name='r', value=80, fixed=False, min=0, max=1000)\n",
-    "bkg = Parameter(name='bkg', value=0.01, fixed=False, min=0.001, max=0.1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "17",
-   "metadata": {},
-   "source": [
-    "It is now possible to compare our model at the initial estimates to the simulated data. \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "18",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fig, ax = plt.subplots()\n",
-    "ax.errorbar(q, i, di, fmt='.')\n",
-    "ax.plot(q, sphere(q), '-k', zorder=10)\n",
-    "ax.set(yscale='log', xlabel='$q$/Å^-1', ylabel='I(q)')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "19",
-   "metadata": {},
-   "source": [
-    "## Exercise 4: find maximum likelihood estimates\n",
-    "\n",
-    "Using `easyscience`, obtain maximum likelihood estimates for the four parameters of the model from comparison with the data.\n",
-    "\n",
-    "**Solution:**\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "20",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from easyscience import Fitter\n",
-    "from easyscience import ObjBase\n",
-    "\n",
-    "params = ObjBase(name='params', delta_rho=delta_rho, r=r, bkg=bkg)\n",
-    "f = Fitter(params, sphere)\n",
-    "\n",
-    "res = f.fit(x=q, y=i, weights=1 / di)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "21",
-   "metadata": {},
-   "source": [
-    "We can then plot the model and the data together as before and print the values of the parameters along with their uncertainties. \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "22",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fig, ax = plt.subplots()\n",
-    "ax.errorbar(q, i, di, fmt='.')\n",
-    "ax.plot(q, sphere(q), '-k', zorder=10)\n",
-    "ax.set(yscale='log', xlabel='$q$/Å^-1', ylabel='I(q)')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "23",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "delta_rho, r, bkg"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python (Pixi)",
-   "language": "python",
-   "name": "pixi-kernel-python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/docs/tutorials/index.md b/docs/docs/tutorials/index.md
deleted file mode 100644
index 8728e9ed..00000000
--- a/docs/docs/tutorials/index.md
+++ /dev/null
@@ -1,25 +0,0 @@
----
-icon: material/school
----
-
-# :material-school: Tutorials
-
-This section presents a collection of **Jupyter Notebook** tutorials
-that demonstrate how to use EasyScience for various tasks. These
-tutorials serve as self-contained, step-by-step **guides** to help users
-grasp the workflow of data analysis using EasyScience.
-
-Instructions on how to run the tutorials are provided in the
-[:material-cog-box: Installation & Setup](../installation-and-setup/index.md#how-to-run-tutorials)
-section of the documentation.
-
-The tutorials are organized into the following categories:
-
-## Workshops & Schools
-
-- [Fitting QENS](fitting-qens.ipynb) – A tutorial demonstrating how to
-  fit a quasielastic neutron scattering (QENS) data using EasyScience
-  framework.
-- [Fitting SANS](fitting-sans.ipynb) – A tutorial demonstrating how to
-  fit a small-angle neutron scattering (SANS) data using EasyScience
-  framework.
diff --git a/docs/docs/user-guide/index.md b/docs/docs/user-guide/index.md
deleted file mode 100644
index bff8e315..00000000
--- a/docs/docs/user-guide/index.md
+++ /dev/null
@@ -1,8 +0,0 @@
----
-icon: material/book-open-variant
----
-
-# :material-book-open-variant: User Guide
-
-This section is currently under development. Please check back later for
-updates.
diff --git a/docs/includes/abbreviations.md b/docs/includes/abbreviations.md
deleted file mode 100644
index 682f16ff..00000000
--- a/docs/includes/abbreviations.md
+++ /dev/null
@@ -1,15 +0,0 @@
-<!-- prettier-ignore-start -->
-
-*[CIF]: Crystallographic Information File.
-*[curl]: Command-line tool for transferring data with URLs.
-*[GitHub]: A web-based platform for version control and collaboration.
-*[Google Colab]: Cloud service that allows you to run Jupyter Notebooks in the cloud.
-*[IUCr]: International Union of Crystallography.
-*[Jupyter Notebook]: An open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
-*[JupyterLab]: Web-based interactive development environment for notebooks, code, and data.
-*[pip]: Package installer for Python.
-*[PyPI]: The Python Package Index is a repository of software for the Python programming language.
-*[Conda]: Conda is a cross-platform, language-agnostic binary package manager.
-*[Pixi]: A modern package manager for Windows, macOS, and Linux.
-
-<!-- prettier-ignore-end -->
diff --git a/docs/make.bat b/docs/make.bat
new file mode 100644
index 00000000..135acda3
--- /dev/null
+++ b/docs/make.bat
@@ -0,0 +1,35 @@
+@ECHO OFF
+
+pushd %~dp0
+
+REM Command file for Sphinx documentation
+
+if "%SPHINXBUILD%" == "" (
+	set SPHINXBUILD=sphinx-build
+)
+set SOURCEDIR=./src
+set BUILDDIR=_build
+
+if "%1" == "" goto help
+
+%SPHINXBUILD% >NUL 2>NUL
+if errorlevel 9009 (
+	echo.
+	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
+	echo.installed, then set the SPHINXBUILD environment variable to point
+	echo.to the full path of the 'sphinx-build' executable. Alternatively you
+	echo.may add the Sphinx directory to PATH.
+	echo.
+	echo.If you don't have Sphinx installed, grab it from
+	echo.http://sphinx-doc.org/
+	exit /b 1
+)
+
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%
+goto end
+
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%
+
+:end
+popd
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
deleted file mode 100644
index c721c75d..00000000
--- a/docs/mkdocs.yml
+++ /dev/null
@@ -1,189 +0,0 @@
-# Project information
-site_name: EasyScience Library
-site_url: https://easyscience.github.io/core
-
-# Repository
-repo_url: https://github.com/easyscience/core
-edit_uri: edit/develop/docs/
-
-# Copyright
-copyright: © 2021-2026 EasyScience
-
-# Sets the theme and theme-specific configuration
-theme:
-  name: material
-  custom_dir: overrides
-  features:
-    #- content.action.edit # Temporary disable edit button (until decided on which branch to use and where to host the notebooks)
-    #- content.action.view
-    - content.code.annotate
-    - content.code.copy # Auto generated button to copy a code block's content
-    - content.tooltips
-    - navigation.footer
-    - navigation.indexes
-    #- navigation.instant # Instant loading, but it causes issues with rendering equations
-    #- navigation.sections
-    - navigation.top # Back-to-top button
-    - navigation.tracking # Anchor tracking
-    - search.highlight
-    - search.share
-    - search.suggest
-    - toc.follow
-  palette:
-    # Palette toggle for light mode
-    - media: '(prefers-color-scheme: light)'
-      scheme: default
-      primary: custom
-      toggle:
-        icon: fontawesome/solid/sun
-        name: Switch to dark mode
-    # Palette toggle for dark mode
-    - media: '(prefers-color-scheme: dark)'
-      scheme: slate
-      primary: custom
-      toggle:
-        icon: fontawesome/solid/moon
-        name: Switch to light mode
-  font:
-    text: Mulish
-    code: Roboto Mono
-  icon:
-    edit: material/file-edit-outline
-  favicon: assets/images/favicon.png
-  logo_dark_mode: assets/images/logo_dark.svg
-  logo_light_mode: assets/images/logo_light.svg
-
-# A set of key-value pairs, where the values can be any valid YAML
-# construct, that will be passed to the template
-extra:
-  generator: false # Disable `Made with Material for MkDocs` (bottom left)
-  social: # Extra icons in the bottom right corner
-    - icon: easyscience # File: overrides/.icons/easyscience.svg
-      link: https://easyscience.org
-      name: EasyScience Framework Webpage
-    - icon: easyscience # File: overrides/.icons/easyscience.svg
-      link: https://easyscience.github.io/corelib
-      name: EasyScience Main Webpage
-    - icon: fontawesome/brands/github # Name as in Font Awesome
-      link: https://github.com/easyscience/core
-      name: EasyScience Library Source Code on GitHub
-  # Set custom variables to be used in Markdown and HTML files
-  vars:
-    ci_branch: !ENV CI_BRANCH
-    github_repository: !ENV GITHUB_REPOSITORY
-    release_version: !ENV RELEASE_VERSION
-    docs_version: !ENV DOCS_VERSION
-    notebooks_dir: !ENV NOTEBOOKS_DIR
-  # Renders a version selector in the header
-  version:
-    provider: mike
-
-# Customization to be included by the theme
-extra_css:
-  - assets/stylesheets/extra.css
-
-extra_javascript:
-  - assets/javascripts/extra.js
-  # MathJax for rendering mathematical expressions
-  - assets/javascripts/mathjax.js # Custom MathJax config to ensure compatibility with mkdocs-jupyter
-  - https://unpkg.com/mathjax@3/es5/tex-mml-chtml.js # Official MathJax CDN
-
-# A list of extensions beyond the ones that MkDocs uses by default (meta, toc, tables, and fenced_code)
-markdown_extensions:
-  - abbr
-  - admonition
-  - attr_list
-  - def_list
-  - footnotes
-  - pymdownx.arithmatex: # rendering of equations and integrates with MathJax or KaTeX
-      generic: true
-  - pymdownx.blocks.caption
-  - pymdownx.details
-  - pymdownx.emoji:
-      emoji_index: !!python/name:material.extensions.emoji.twemoji
-      emoji_generator: !!python/name:material.extensions.emoji.to_svg
-      options:
-        custom_icons:
-          - docs/overrides/.icons
-  - pymdownx.highlight: # whether highlighting should be carried out during build time by Pygments
-      use_pygments: true
-      pygments_lang_class: true
-  - pymdownx.snippets:
-      auto_append:
-        - docs/includes/abbreviations.md
-  - pymdownx.superfences: # whether highlighting should be carried out during build time by Pygments
-      custom_fences:
-        - name: mermaid
-          class: mermaid
-          format: !!python/name:pymdownx.superfences.fence_code_format
-  - pymdownx.tabbed: # enables content tabs
-      alternate_style: true
-  - pymdownx.tasklist:
-      custom_checkbox: true
-  - toc:
-      toc_depth: 3
-
-# A list of plugins (with optional configuration settings) to use when building the site
-plugins:
-  - autorefs
-  - inline-svg
-  - markdownextradata # Plugin that injects the mkdocs.yml extra variables into the Markdown template
-  - mike # Plugin that makes it easy to deploy multiple versions of the docs
-  - mkdocs-jupyter:
-      include: ['*.ipynb'] # Default: ['*.py', '*.ipynb']
-      execute: false # Do not execute notebooks during build. They are expected to be pre-executed.
-      allow_errors: false
-      include_source: true
-      include_requirejs: true # Required for Plotly
-      #custom_mathjax_url: 'https://unpkg.com/mathjax@3/es5/tex-mml-chtml.js' # See 'extra_javascript' above
-      ignore_h1_titles: true # Use titles defined in the nav section below
-      remove_tag_config:
-        remove_input_tags:
-          - hide-in-docs
-  - mkdocstrings:
-      handlers:
-        python:
-          paths: ['src'] # Change 'src' to your actual sources directory
-          options:
-            docstring_style: google
-            group_by_category: false
-            heading_level: 1
-            show_root_heading: true
-            show_root_full_path: false
-            show_submodules: true
-            show_source: true
-  - search
-
-# Determines additional directories to watch when running mkdocs serve
-watch:
-  - includes
-  - overrides
-  - ../src
-
-# Exclude files and folders from the global navigation
-not_in_nav: |
-  index.md
-
-# Format and layout of the global navigation for the site
-nav:
-  - Introduction:
-      - Introduction: introduction/index.md
-  - Installation & Setup:
-      - Installation & Setup: installation-and-setup/index.md
-  - User Guide:
-      - User Guide: user-guide/index.md
-  - Tutorials:
-      - Tutorials: tutorials/index.md
-      - Workshops & Schools:
-          - Fitting QENS: tutorials/fitting-qens.ipynb
-          - Fitting SANS: tutorials/fitting-sans.ipynb
-  - API Reference:
-      - API Reference: api-reference/index.md
-      - base_classes: api-reference/base_classes.md
-      - fitting: api-reference/fitting.md
-      - global_object: api-reference/global_object.md
-      - io: api-reference/io.md
-      - job: api-reference/job.md
-      - models: api-reference/models.md
-      - utils: api-reference/utils.md
-      - variable: api-reference/variable.md
diff --git a/docs/overrides/.icons/app.svg b/docs/overrides/.icons/app.svg
deleted file mode 100644
index b4fdd4f3..00000000
--- a/docs/overrides/.icons/app.svg
+++ /dev/null
@@ -1,4 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 800 800" width="24px" fill="#000000">
-  <path d="M 80 662.5 L 720 662.5 L 720 323.44 L 80 323.44 L 80 662.5 Z M 23.5 724.3 C 7.833 707.16 0 686.56 0 662.5 L 0 137.5 C 0 113.44 7.833 92.84 23.5 75.7 C 39.167 58.57 58 50 80 50 L 720 50 C 742 50 760.833 58.57 776.5 75.7 C 792.167 92.84 800 113.44 800 137.5 L 800 662.5 C 800 686.56 792.167 707.16 776.5 724.3 C 760.833 741.43 742 750 720 750 L 80 750 C 58 750 39.167 741.43 23.5 724.3 Z M 435 130 C 404.624 130 380 154.624 380 185 C 380 215.376 404.624 240 435 240 C 465.376 240 490 215.376 490 185 C 490 154.624 465.376 130 435 130 Z M 285 130 C 254.624 130 230 154.624 230 185 C 230 215.376 254.624 240 285 240 C 315.376 240 340 215.376 340 185 C 340 154.624 315.376 130 285 130 Z M 135 130 C 104.624 130 80 154.624 80 185 C 80 215.376 104.624 240 135 240 C 165.376 240 190 215.376 190 185 C 190 154.624 165.376 130 135 130 Z"/>
-</svg>
\ No newline at end of file
diff --git a/docs/overrides/.icons/easyscience.svg b/docs/overrides/.icons/easyscience.svg
deleted file mode 100644
index fb514912..00000000
--- a/docs/overrides/.icons/easyscience.svg
+++ /dev/null
@@ -1,20 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<svg viewBox="0 0 512 512" xmlns="http://www.w3.org/2000/svg" xmlns:bx="https://boxy-svg.com" width="512px" height="512px">
-  <defs>
-    <bx:grid x="0" y="0" width="190" height="80"/>
-    <bx:export>
-      <bx:file format="png" href="#object-0"/>
-    </bx:export>
-  </defs>
-  <g transform="matrix(2.462243, 0, 0, 2.462243, 17.858936, 23.602793)" id="object-0">
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diff --git a/docs/overrides/.icons/google-colab.svg b/docs/overrides/.icons/google-colab.svg
deleted file mode 100644
index 9cd9d1b0..00000000
--- a/docs/overrides/.icons/google-colab.svg
+++ /dev/null
@@ -1,7 +0,0 @@
-<svg role="img" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg">
-  <path d="M4.54,9.46,2.19,7.1a6.93,6.93,0,0,0,0,9.79l2.36-2.36A3.59,3.59,0,0,1,4.54,9.46Z" style="" fill="#E8710A"></path>
-  <path d="M2.19,7.1,4.54,9.46a3.59,3.59,0,0,1,5.08,0l1.71-2.93h0l-.1-.08h0A6.93,6.93,0,0,0,2.19,7.1Z" style="" fill="#F9AB00"></path>
-  <path d="M11.34,17.46h0L9.62,14.54a3.59,3.59,0,0,1-5.08,0L2.19,16.9a6.93,6.93,0,0,0,9,.65l.11-.09" style="" fill="#F9AB00"></path>
-  <path d="M12,7.1a6.93,6.93,0,0,0,0,9.79l2.36-2.36a3.59,3.59,0,1,1,5.08-5.08L21.81,7.1A6.93,6.93,0,0,0,12,7.1Z" style="" fill="#F9AB00"></path>
-  <path d="M21.81,7.1,19.46,9.46a3.59,3.59,0,0,1-5.08,5.08L12,16.9A6.93,6.93,0,0,0,21.81,7.1Z" style="" fill="#E8710A"></path>
-</svg>
diff --git a/docs/overrides/main.html b/docs/overrides/main.html
deleted file mode 100644
index 2e146827..00000000
--- a/docs/overrides/main.html
+++ /dev/null
@@ -1,39 +0,0 @@
-{% extends "base.html" %}
-
-{% block content %}
-
-{% if page.nb_url %}
-  {# Parse notebook path/URL #}
-  {% set parts = page.nb_url.split('/') %}
-  {% set tutorial_name = parts[-2] %}
-  {% set filename = parts[-1] %}
-
-  {# Colab url #}
-  {% set base_colab_url = "https://colab.research.google.com/github/" %}
-  {% set colab_url =
-    base_colab_url ~ config.extra.vars.github_repository ~
-    "/blob/gh-pages/" ~ config.extra.vars.docs_version ~
-    "/tutorials/" ~ tutorial_name ~ "/" ~ filename
-  %}
-
-  {# Download link: relative to the current page #}
-  {% set file_url = filename %}
-
-  {# Open in Colab (absolute GitHub URL; works anywhere) #}
-  <a href="{{ colab_url }}"
-     title="Open in Google Colab"
-     class="md-content__button md-icon">
-    {% include ".icons/google-colab.svg" %}
-  </a>
-
-  {# Download: use a RELATIVE link to the file next to this page #}
-  <a href="{{ file_url }}"
-     download="{{ file_url }}"
-     title="Download Notebook"
-     class="md-content__button md-icon">
-    {% include ".icons/material/download.svg" %}
-  </a>
-{% endif %}
-
-{{ super() }}
-{% endblock content %}
diff --git a/docs/overrides/partials/logo.html b/docs/overrides/partials/logo.html
deleted file mode 100644
index 78fa69ca..00000000
--- a/docs/overrides/partials/logo.html
+++ /dev/null
@@ -1,15 +0,0 @@
-{% if ( config.theme.logo_light_mode and config.theme.logo_dark_mode ) %}
-<img
-  id="logo_light_mode"
-  src="{{ config.theme.logo_light_mode | url }}"
-  alt="logo"
-/>
-<img
-  id="logo_dark_mode"
-  src="{{ config.theme.logo_dark_mode | url }}"
-  alt="logo"
-/>
-{% elif config.theme.logo %}
-<img src="{{ config.theme.logo | url }}" alt="logo" />
-{% else %} {% set icon = config.theme.icon.logo or "material/library" %} {%
-include ".icons/" ~ icon ~ ".svg" %} {% endif %}
diff --git a/docs/src/_static/ec_logo_single.png b/docs/src/_static/ec_logo_single.png
new file mode 100644
index 00000000..77c1f9a4
Binary files /dev/null and b/docs/src/_static/ec_logo_single.png differ
diff --git a/docs/src/_static/ec_sidebar.png b/docs/src/_static/ec_sidebar.png
new file mode 100644
index 00000000..a8bb6c7b
Binary files /dev/null and b/docs/src/_static/ec_sidebar.png differ
diff --git a/docs/src/_static/ec_sidebar_w.png b/docs/src/_static/ec_sidebar_w.png
new file mode 100644
index 00000000..d1f407a3
Binary files /dev/null and b/docs/src/_static/ec_sidebar_w.png differ
diff --git a/docs/src/_static/favicon.ico b/docs/src/_static/favicon.ico
new file mode 100644
index 00000000..9281805b
Binary files /dev/null and b/docs/src/_static/favicon.ico differ
diff --git a/docs/src/conf.py b/docs/src/conf.py
new file mode 100644
index 00000000..f8445631
--- /dev/null
+++ b/docs/src/conf.py
@@ -0,0 +1,228 @@
+#!/usr/bin/env python
+
+#  SPDX-FileCopyrightText: 2021 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience>
+
+#
+# Configuration file for the Sphinx documentation builder.
+#
+# This file does only contain a selection of the most common options. For a
+# full list see the documentation:
+# http://www.sphinx-doc.org/en/master/config
+
+# -- Path setup --------------------------------------------------------------
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+#
+import os
+import sys
+# import toml
+from pathlib import Path
+import easyscience
+# sys.path.insert(0, os.path.abspath('.'))
+main_root = Path(__file__).parents[2]
+sys.path.append(str(main_root))
+
+import datetime
+
+# project_info = toml.load(os.path.join(main_root, 'pyproject.toml'))
+
+# -- Project information -----------------------------------------------------
+
+project = 'EasyScience'
+copyright = f"{datetime.date.today().year}, EasyScience Contributors"
+author = "EasyScience Contributors"
+# copyright = f"2021, {project_info['tool']['poetry']['authors'][0]}"
+# author = project_info['tool']['poetry']['authors'][0]
+
+# # The short X.Y version
+# version = ''
+# # The full version, including alpha/beta/rc tags
+# release = project_info['tool']['poetry']['version']
+# The short X.Y version.
+#version = project_info['project']['version'] 
+# The full version, including alpha/beta/rc tags.
+#version = project_info['project']['version']
+version = easyscience.__version__
+
+
+intersphinx_mapping = {
+    'python': ('https://docs.python.org/3', None),
+    'numpy': ('https://numpy.org/doc/stable/', None)
+}
+
+# -- General configuration ---------------------------------------------------
+
+# If your documentation needs a minimal Sphinx version, state it here.
+#
+# needs_sphinx = '1.0'
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = [
+    'sphinx.ext.githubpages',
+    'sphinx.ext.napoleon',
+    'sphinx.ext.autodoc',
+    'sphinx_autodoc_typehints',
+    'sphinx.ext.viewcode',
+    'sphinx.ext.mathjax',
+    'sphinx.ext.intersphinx',
+    'sphinx_gallery.gen_gallery',
+]
+autoclass_content = 'init'
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ['_templates']
+
+# The suffix(es) of source filenames.
+# You can specify multiple suffix as a list of string:
+#
+# source_suffix = ['.rst', '.md']
+source_suffix = '.rst'
+
+# The master toctree document.
+master_doc = 'index'
+
+# The language for content autogenerated by Sphinx. Refer to documentation
+# for a list of supported languages.
+#
+# This is also used if you do content translation via gettext catalogs.
+# Usually you set "language" from the command line for these cases.
+language = 'en'
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+# This pattern also affects html_static_path and html_extra_path.
+exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
+
+# The name of the Pygments (syntax highlighting) style to use.
+pygments_style = 'sphinx'
+highlight_language = 'python3'
+
+# -- Options for HTML output -------------------------------------------------
+
+# The theme to use for HTML and HTML Help pages.  See the documentation for
+# a list of builtin themes.
+#
+html_theme = 'sphinx_book_theme'
+html_logo = os.path.join('_static', 'ec_sidebar_w.png')
+html_favicon = os.path.join('_static', 'favicon.ico')
+html_theme_options = {}
+# html_theme_options = {
+#     'logo': os.path.join('ec_logo_single.png'),
+#     'github_user': project_info['tool']['github']['info']['organization'],
+#     'github_repo': project_info['tool']['github']['info']['repo'],
+# }
+
+
+
+# Theme options are theme-specific and customize the look and feel of a theme
+# further.  For a list of options available for each theme, see the
+# documentation.
+#
+# html_theme_options = {}
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+html_static_path = ['_static']
+
+# Custom sidebar templates, must be a dictionary that maps document names
+# to template names.
+#
+# The default sidebars (for documents that don't match any pattern) are
+# defined by theme itself.  Builtin themes are using these templates by
+# default: ``['localtoc.html', 'relations.html', 'sourcelink.html',
+# 'searchbox.html']``.
+#
+# html_sidebars = {}
+
+
+# -- Options for HTMLHelp output ---------------------------------------------
+
+# Output file base name for HTML help builder.
+htmlhelp_basename = 'easySciencedoc'
+
+
+# -- Options for LaTeX output ------------------------------------------------
+
+latex_elements = {
+    # The paper size ('letterpaper' or 'a4paper').
+    #
+    # 'papersize': 'letterpaper',
+
+    # The font size ('10pt', '11pt' or '12pt').
+    #
+    # 'pointsize': '10pt',
+
+    # Additional stuff for the LaTeX preamble.
+    #
+    # 'preamble': '',
+
+    # Latex figure (float) alignment
+    #
+    # 'figure_align': 'htbp',
+}
+
+# Grouping the document tree into LaTeX files. List of tuples
+# (source start file, target name, title,
+#  author, documentclass [howto, manual, or own class]).
+latex_documents = [
+    (master_doc, 'EasyScience.tex', 'EasyScience Documentation',
+     'Simon Ward', 'manual'),
+]
+
+
+# -- Options for manual page output ------------------------------------------
+
+# One entry per manual page. List of tuples
+# (source start file, name, description, authors, manual section).
+man_pages = [
+    (master_doc, 'EasyScience', 'EasyScience Documentation',
+     [author], 1)
+]
+
+
+# -- Options for Texinfo output ----------------------------------------------
+
+# Grouping the document tree into Texinfo files. List of tuples
+# (source start file, target name, title, author,
+#  dir menu entry, description, category)
+texinfo_documents = [
+    (master_doc, 'EasyScience', 'EasyScience Documentation',
+     author, 'EasyScience', 'One line description of project.',
+     'Miscellaneous'),
+]
+
+
+# -- Options for Epub output -------------------------------------------------
+
+# Bibliographic Dublin Core info.
+epub_title = project
+
+# The unique identifier of the text. This can be a ISBN number
+# or the project homepage.
+#
+# epub_identifier = ''
+
+# A unique identification for the text.
+#
+# epub_uid = ''
+
+# A list of files that should not be packed into the epub file.
+epub_exclude_files = ['search.html']
+
+
+sphinx_gallery_conf = {
+     'examples_dirs': [os.path.join(main_root, 'Examples', 'base'),
+                       os.path.join(main_root, 'Examples', 'fitting')],   # path to your example scripts
+     'gallery_dirs': ['base_examples', 'fitting_examples'],  # path to where to save gallery generated output
+    'backreferences_dir': 'gen_modules/backreferences',     # directory where function/class granular galleries are stored
+    # Modules for which function/class level galleries are created. In
+    # this case sphinx_gallery and numpy in a tuple of strings.
+    'doc_module':         ('sphinx_gallery', 'numpy', 'EasyScience'),
+}
\ No newline at end of file
diff --git a/docs/src/fitting/introduction.rst b/docs/src/fitting/introduction.rst
new file mode 100644
index 00000000..0a694090
--- /dev/null
+++ b/docs/src/fitting/introduction.rst
@@ -0,0 +1,362 @@
+======================
+Fitting in EasyScience
+======================
+
+EasyScience provides a flexible and powerful fitting framework that supports multiple optimization backends.
+This guide covers both basic usage for users wanting to fit their data, and advanced patterns for developers building scientific components.
+
+Overview
+--------
+
+The EasyScience fitting system consists of:
+
+* **Parameters**: Scientific values with units, bounds, and fitting capabilities
+* **Models**: Objects containing parameters, inheriting from ``ObjBase``
+* **Fitter**: The main fitting engine supporting multiple minimizers
+* **Minimizers**: Backend optimization engines (LMFit, Bumps, DFO-LS)
+
+Quick Start
+-----------
+
+Basic Parameter and Model Setup
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code-block:: python
+
+    import numpy as np
+    from easyscience import ObjBase, Parameter, Fitter
+
+    # Create a simple model with fittable parameters
+    class SineModel(ObjBase):
+        def __init__(self, amplitude_val=1.0, frequency_val=1.0, phase_val=0.0):
+            amplitude = Parameter("amplitude", amplitude_val, min=0, max=10)
+            frequency = Parameter("frequency", frequency_val, min=0.1, max=5)
+            phase = Parameter("phase", phase_val, min=-np.pi, max=np.pi)
+            super().__init__("sine_model", amplitude=amplitude, frequency=frequency, phase=phase)
+        
+        def __call__(self, x):
+            return self.amplitude.value * np.sin(2 * np.pi * self.frequency.value * x + self.phase.value)
+
+Basic Fitting Example
+~~~~~~~~~~~~~~~~~~~~~
+
+.. code-block:: python
+
+    # Create test data
+    x_data = np.linspace(0, 2, 100)
+    true_model = SineModel(amplitude_val=2.5, frequency_val=1.5, phase_val=0.5)
+    y_data = true_model(x_data) + 0.1 * np.random.normal(size=len(x_data))
+    
+    # Create model to fit with initial guesses
+    fit_model = SineModel(amplitude_val=1.0, frequency_val=1.0, phase_val=0.0)
+    
+    # Set which parameters to fit (unfix them)
+    fit_model.amplitude.fixed = False
+    fit_model.frequency.fixed = False
+    fit_model.phase.fixed = False
+    
+    # Create fitter and perform fit
+    fitter = Fitter(fit_model, fit_model)
+    result = fitter.fit(x=x_data, y=y_data)
+    
+    # Access results
+    print(f"Chi-squared: {result.chi2}")
+    print(f"Fitted amplitude: {fit_model.amplitude.value} ± {fit_model.amplitude.error}")
+    print(f"Fitted frequency: {fit_model.frequency.value} ± {fit_model.frequency.error}")
+
+Available Minimizers
+--------------------
+
+EasyScience supports multiple optimization backends:
+
+.. code-block:: python
+
+    from easyscience import AvailableMinimizers
+    
+    # View all available minimizers
+    fitter = Fitter(model, model)
+    print(fitter.available_minimizers)
+    # Output: ['LMFit', 'LMFit_leastsq', 'LMFit_powell', 'Bumps', 'Bumps_simplex', 'DFO', 'DFO_leastsq']
+
+Switching Minimizers
+~~~~~~~~~~~~~~~~~~~~
+
+.. code-block:: python
+
+    # Use LMFit (default)
+    fitter.switch_minimizer(AvailableMinimizers.LMFit)
+    result1 = fitter.fit(x=x_data, y=y_data)
+    
+    # Switch to Bumps
+    fitter.switch_minimizer(AvailableMinimizers.Bumps)
+    result2 = fitter.fit(x=x_data, y=y_data)
+    
+    # Use DFO for derivative-free optimization
+    fitter.switch_minimizer(AvailableMinimizers.DFO)
+    result3 = fitter.fit(x=x_data, y=y_data)
+
+Parameter Management
+--------------------
+
+Setting Bounds and Constraints
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code-block:: python
+
+    # Parameter with bounds
+    param = Parameter(name="amplitude", value=1.0, min=0.0, max=10.0, unit="m")
+    
+    # Fix parameter (exclude from fitting)
+    param.fixed = True
+    
+    # Unfix parameter (include in fitting)
+    param.fixed = False
+    
+    # Change bounds dynamically
+    param.min = 0.5
+    param.max = 8.0
+
+Parameter Dependencies
+~~~~~~~~~~~~~~~~~~~~~~~
+
+Parameters can depend on other parameters through expressions:
+
+.. code-block:: python
+
+    # Create independent parameters
+    length = Parameter("length", 10.0, unit="m", min=1, max=100)
+    width = Parameter("width", 5.0, unit="m", min=1, max=50)
+    
+    # Create dependent parameter
+    area = Parameter.from_dependency(
+        name="area",
+        dependency_expression="length * width",
+        dependency_map={"length": length, "width": width}
+    )
+    
+    # When length or width changes, area updates automatically
+    length.value = 15.0
+    print(area.value)  # Will be 75.0 (15 * 5)
+
+Using make_dependent_on() Method
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+You can also make an existing parameter dependent on other parameters using the ``make_dependent_on()`` method. This is useful when you want to convert an independent parameter into a dependent one:
+
+.. code-block:: python
+
+    # Create independent parameters
+    radius = Parameter("radius", 5.0, unit="m", min=1, max=20)
+    height = Parameter("height", 10.0, unit="m", min=1, max=50)
+    volume = Parameter("volume", 100.0, unit="m³")  # Initially independent
+    pi = Parameter("pi", 3.14159, fixed=True)  # Constant parameter
+
+    # Make volume dependent on radius and height
+    volume.make_dependent_on(
+        dependency_expression="pi * radius**2 * height",
+        dependency_map={"radius": radius, "height": height, "pi": pi}
+    )
+
+    # Now volume automatically updates when radius or height changes
+    radius.value = 8.0
+    print(f"New volume: {volume.value:.2f} m³")  # Automatically calculated
+
+    # The parameter becomes dependent and cannot be set directly
+    try:
+        volume.value = 200.0  # This will raise an AttributeError
+    except AttributeError:
+        print("Cannot set value of dependent parameter directly")
+
+**What to expect:**
+
+- The parameter becomes **dependent** and its ``independent`` property becomes ``False``
+- You **cannot directly set** the value, bounds, or variance of a dependent parameter
+- The parameter's value is **automatically recalculated** whenever any of its dependencies change
+- Dependent parameters **cannot be fitted** (they are automatically fixed)
+- The original value, unit, variance, min, and max are **overwritten** by the dependency calculation
+- You can **revert to independence** using the ``make_independent()`` method if needed
+
+Advanced Fitting Options
+------------------------
+
+Setting Tolerances and Limits
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code-block:: python
+
+    fitter = Fitter(model, model)
+    
+    # Set convergence tolerance
+    fitter.tolerance = 1e-8
+    
+    # Limit maximum function evaluations
+    fitter.max_evaluations = 1000
+    
+    # Perform fit with custom settings
+    result = fitter.fit(x=x_data, y=y_data)
+
+Using Weights
+~~~~~~~~~~~~~
+
+.. code-block:: python
+
+    # Define weights (inverse variance)
+    weights = 1.0 / errors**2  # where errors are your data uncertainties
+    
+    # Fit with weights
+    result = fitter.fit(x=x_data, y=y_data, weights=weights)
+
+Multidimensional Fitting
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code-block:: python
+
+    class AbsSin2D(ObjBase):
+        def __init__(self, offset_val=0.0, phase_val=0.0):
+            offset = Parameter("offset", offset_val)
+            phase = Parameter("phase", phase_val)
+            super().__init__("sin2D", offset=offset, phase=phase)
+        
+        def __call__(self, x):
+            X, Y = x[:, 0], x[:, 1]  # x is 2D array
+            return np.abs(np.sin(self.phase.value * X + self.offset.value)) * \
+                   np.abs(np.sin(self.phase.value * Y + self.offset.value))
+    
+    # Create 2D data
+    x_2d = np.column_stack([x_grid.ravel(), y_grid.ravel()])
+    
+    # Fit 2D model
+    model_2d = AbsSin2D(offset_val=0.1, phase_val=1.0)
+    model_2d.offset.fixed = False
+    model_2d.phase.fixed = False
+    
+    fitter = Fitter(model_2d, model_2d)
+    result = fitter.fit(x=x_2d, y=z_data.ravel())
+
+Accessing Fit Results
+---------------------
+
+The ``FitResults`` object contains comprehensive information about the fit:
+
+.. code-block:: python
+
+    result = fitter.fit(x=x_data, y=y_data)
+    
+    # Fit statistics
+    print(f"Chi-squared: {result.chi2}")
+    print(f"Reduced chi-squared: {result.reduced_chi}")
+    print(f"Number of parameters: {result.n_pars}")
+    print(f"Success: {result.success}")
+    
+    # Parameter values and uncertainties
+    for param_name, value in result.p.items():
+        error = result.errors.get(param_name, 0.0)
+        print(f"{param_name}: {value} ± {error}")
+    
+    # Calculated values and residuals
+    y_calculated = result.y_calc
+    residuals = result.residual
+    
+    # Plot results
+    import matplotlib.pyplot as plt
+    plt.figure(figsize=(10, 4))
+    plt.subplot(121)
+    plt.plot(x_data, y_data, 'o', label='Data')
+    plt.plot(x_data, y_calculated, '-', label='Fit')
+    plt.legend()
+    plt.subplot(122)
+    plt.plot(x_data, residuals, 'o')
+    plt.axhline(0, color='k', linestyle='--')
+    plt.ylabel('Residuals')
+
+Developer Guidelines
+---------------------
+
+Creating Custom Models
+~~~~~~~~~~~~~~~~~~~~~~
+
+For developers building scientific components:
+
+.. code-block:: python
+
+    from easyscience import ObjBase, Parameter
+    
+    class CustomModel(ObjBase):
+        def __init__(self, param1_val=1.0, param2_val=0.0):
+            # Always create Parameters with appropriate bounds and units
+            param1 = Parameter("param1", param1_val, min=-10, max=10, unit="m/s")
+            param2 = Parameter("param2", param2_val, min=0, max=1, fixed=True)
+            
+            # Call parent constructor with named parameters
+            super().__init__("custom_model", param1=param1, param2=param2)
+        
+        def __call__(self, x):
+            # Implement your model calculation
+            return self.param1.value * x + self.param2.value
+        
+        def get_fit_parameters(self):
+            # This is automatically implemented by ObjBase
+            # Returns only non-fixed parameters
+            return super().get_fit_parameters()
+
+Best Practices
+~~~~~~~~~~~~~~
+
+1. **Always set appropriate bounds** on parameters to constrain the search space
+2. **Use meaningful units** for physical parameters
+3. **Fix parameters** that shouldn't be optimized
+4. **Test with different minimizers** for robustness
+5. **Validate results** by checking chi-squared and residuals
+
+Error Handling
+~~~~~~~~~~~~~~
+
+.. code-block:: python
+
+    from easyscience.fitting.minimizers import FitError
+    
+    try:
+        result = fitter.fit(x=x_data, y=y_data)
+        if not result.success:
+            print(f"Fit failed: {result.message}")
+    except FitError as e:
+        print(f"Fitting error: {e}")
+    except Exception as e:
+        print(f"Unexpected error: {e}")
+
+Testing Patterns
+~~~~~~~~~~~~~~~~
+
+When writing tests for fitting code:
+
+.. code-block:: python
+
+    import pytest
+    from easyscience import global_object
+    
+    @pytest.fixture
+    def clear_global_map():
+        """Clear global map before each test"""
+        global_object.map._clear()
+        yield
+        global_object.map._clear()
+    
+    def test_model_fitting(clear_global_map):
+        # Create model and test fitting
+        model = CustomModel()
+        model.param1.fixed = False
+        
+        # Generate test data
+        x_test = np.linspace(0, 10, 50)
+        y_test = 2.5 * x_test + 0.1 * np.random.normal(size=len(x_test))
+        
+        # Fit and verify
+        fitter = Fitter(model, model)
+        result = fitter.fit(x=x_test, y=y_test)
+        
+        assert result.success
+        assert model.param1.value == pytest.approx(2.5, abs=0.1)
+
+This comprehensive guide covers the essential aspects of fitting in EasyScience, from basic usage to advanced developer patterns.
+The examples are drawn from the actual test suite and demonstrate real-world usage patterns.
+
diff --git a/docs/src/getting-started/installation.rst b/docs/src/getting-started/installation.rst
new file mode 100644
index 00000000..4d0cef44
--- /dev/null
+++ b/docs/src/getting-started/installation.rst
@@ -0,0 +1,33 @@
+************
+Installation
+************
+
+**EasyScience** requires Python 3.11 or above.
+
+Install via ``pip``
+-------------------
+
+The easiest way of obtaining EasyScience and using it in your project is via pip. You can install directly by using:
+
+.. code-block:: console
+
+    $ pip install EasyScience
+
+Install as an EasyScience developer
+-----------------------------------
+
+You can obtain the latest development source from our `Github repository
+<https://github.com/easyscience/corelib>`_.:
+
+.. code-block:: console
+
+    $ git clone https://github.com/easyscience/corelib
+    $ cd corelib
+
+And install via pip:
+
+.. code-block:: console
+
+    $ pip install -e .
+
+.. installation-end-content
\ No newline at end of file
diff --git a/docs/src/getting-started/overview.rst b/docs/src/getting-started/overview.rst
new file mode 100644
index 00000000..d5516a1c
--- /dev/null
+++ b/docs/src/getting-started/overview.rst
@@ -0,0 +1,224 @@
+.. _overview:
+
+Overview
+========
+
+EasyScience is a foundational Python library that provides the building blocks for scientific data simulation, analysis, and fitting.
+It implements a descriptor-based object system with global state management, making it easy to create scientific models with parameters
+that have units, bounds, and dependencies.
+
+What is EasyScience?
+--------------------
+
+EasyScience serves as the core foundation for the EasyScience family of projects, offering:
+
+* **Scientific Parameters**: Values with units, uncertainties, bounds, and fitting capabilities
+* **Model Building**: Base classes for creating complex scientific models
+* **Multi-backend Fitting**: Support for LMFit, Bumps, and DFO-LS optimization engines
+* **Parameter Dependencies**: Express relationships between parameters through mathematical expressions
+* **Serialization**: Save and load complete model states including parameter relationships
+* **Undo/Redo System**: Track and revert changes to model parameters
+* **Global State Management**: Unified tracking of all objects and their relationships
+
+Key Concepts
+------------
+
+Descriptor-Based Architecture
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+EasyScience uses a hierarchical descriptor system:
+
+.. code-block:: python
+
+    from easyscience import Parameter, ObjBase
+    
+    # Scientific parameter with units and bounds
+    temperature = Parameter(
+        name="temperature", 
+        value=300.0, 
+        unit="K", 
+        min=0, 
+        max=1000,
+        description="Sample temperature"
+    )
+    
+    # Model containing parameters
+    class ThermalModel(ObjBase):
+        def __init__(self, temp_val=300.0, coeff_val=1.0):
+            temperature = Parameter("temperature", temp_val, unit="K", min=0, max=1000)
+            coefficient = Parameter("coefficient", coeff_val, min=0, max=10)
+            super().__init__("thermal_model", temperature=temperature, coefficient=coefficient)
+
+The hierarchy flows from:
+
+* ``DescriptorBase`` → ``DescriptorNumber`` → ``Parameter`` (fittable scientific values)
+* ``BasedBase`` → ``ObjBase`` (containers for parameters and scientific models)
+* ``CollectionBase`` (mutable sequences of scientific objects)
+
+Units and Physical Quantities
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+EasyScience integrates with `scipp <https://scipp.github.io/>`_ for robust unit handling:
+
+.. code-block:: python
+
+    # Parameters automatically handle units
+    length = Parameter("length", 100, unit="cm", min=0, max=1000)
+    
+    # Unit conversions are automatic
+    length.convert_unit("m")
+    print(length.value)  # 1.0
+    print(length.unit)   # m
+    
+    # Arithmetic operations preserve units
+    area = length * length  # Results in m^2
+
+Parameter Dependencies
+~~~~~~~~~~~~~~~~~~~~~~~
+
+Parameters can depend on other parameters through mathematical expressions:
+
+.. code-block:: python
+
+    # Independent parameters
+    radius = Parameter("radius", 5.0, unit="m", min=0, max=100)
+    height = Parameter("height", 10.0, unit="m", min=0, max=200)
+    
+    # Dependent parameter using mathematical expression
+    volume = Parameter.from_dependency(
+        name="volume",
+        dependency_expression="3.14159 * radius**2 * height",
+        dependency_map={"radius": radius, "height": height}
+    )
+    
+    # Automatic updates
+    radius.value = 10.0
+    print(volume.value)  # Automatically recalculated
+
+Global State Management
+~~~~~~~~~~~~~~~~~~~~~~~
+
+All EasyScience objects register with a global map for dependency tracking:
+
+.. code-block:: python
+
+    from easyscience import global_object
+    
+    # All objects are automatically tracked
+    param = Parameter("test", 1.0)
+    print(param.unique_name)  # Automatically generated unique identifier
+    
+    # Access global registry
+    all_objects = global_object.map.vertices()
+    
+    # Clear for testing (important in unit tests)
+    global_object.map._clear()
+
+Fitting and Optimization
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+EasyScience provides a unified interface to multiple optimization backends:
+
+.. code-block:: python
+
+    from easyscience import Fitter, AvailableMinimizers
+    
+    # Create fitter with model
+    fitter = Fitter(model, model)  # model serves as both object and function
+    
+    # Switch between different optimizers
+    fitter.switch_minimizer(AvailableMinimizers.LMFit)    # Levenberg-Marquardt
+    fitter.switch_minimizer(AvailableMinimizers.Bumps)    # Bayesian inference
+    fitter.switch_minimizer(AvailableMinimizers.DFO)      # Derivative-free
+    
+    # Perform fit
+    result = fitter.fit(x=x_data, y=y_data, weights=weights)
+
+Serialization and Persistence  
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Complete model states can be saved and restored:
+
+.. code-block:: python
+
+    # Save model to dictionary
+    model_dict = model.as_dict()
+    
+    # Save to JSON
+    import json
+    with open('model.json', 'w') as f:
+        json.dump(model_dict, f, indent=2, default=str)
+    
+    # Restore model
+    with open('model.json', 'r') as f:
+        loaded_dict = json.load(f)
+    
+    new_model = Model.from_dict(loaded_dict)
+    
+    # Resolve parameter dependencies after loading
+    from easyscience.variable.parameter_dependency_resolver import resolve_all_parameter_dependencies
+    resolve_all_parameter_dependencies(new_model)
+
+Use Cases
+---------
+
+EasyScience is designed for:
+
+Scientific Modeling
+~~~~~~~~~~~~~~~~~~~~
+
+* Creating physics-based models with parameters that have physical meaning
+* Handling units consistently throughout calculations
+* Managing complex parameter relationships and constraints
+
+Data Fitting and Analysis
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+* Fitting experimental data to theoretical models
+* Comparing different optimization algorithms
+* Uncertainty quantification and error propagation
+
+Software Development
+~~~~~~~~~~~~~~~~~~~~
+
+* Building domain-specific scientific applications
+* Creating reusable model components
+* Implementing complex scientific workflows
+
+Research and Education
+~~~~~~~~~~~~~~~~~~~~~~
+
+* Reproducible scientific computing
+* Teaching scientific programming concepts
+* Collaborative model development
+
+Architecture Benefits
+---------------------
+
+**Type Safety**: Strong typing with unit checking prevents common errors
+
+**Flexibility**: Multiple optimization backends allow algorithm comparison
+
+**Extensibility**: Descriptor pattern makes it easy to add new parameter types
+
+**Reproducibility**: Complete serialization enables exact state restoration
+
+**Performance**: Efficient observer pattern minimizes unnecessary recalculations
+
+**Testing**: Global state management with cleanup utilities supports robust testing
+
+Getting Started
+---------------
+
+The best way to learn EasyScience is through examples:
+
+1. **Basic Usage**: Start with simple parameters and models
+2. **Fitting Tutorial**: Learn the fitting system with real data
+3. **Advanced Features**: Explore parameter dependencies and serialization
+4. **Development Guide**: Build your own scientific components
+
+See the :doc:`installation` guide to get started, then explore the :doc:`../fitting/introduction` for practical examples.
+
+EasyScience forms the foundation for more specialized packages in the EasyScience ecosystem, providing the core abstractions that make scientific computing more accessible and reliable.
+
+
diff --git a/docs/src/index.rst b/docs/src/index.rst
new file mode 100644
index 00000000..10f795a8
--- /dev/null
+++ b/docs/src/index.rst
@@ -0,0 +1,181 @@
+=======================================
+Welcome to EasyScience's documentation!
+=======================================
+
+**EasyScience** is a foundational Python library that provides the building blocks for scientific data simulation, analysis, and fitting.
+It implements a descriptor-based object system with global state management, making it easier to create scientific models with parameters
+that have units, bounds, and dependencies.
+
+.. code-block:: python
+
+   from easyscience import Parameter, ObjBase, Fitter
+   
+   # Create a model with scientific parameters
+   class SineModel(ObjBase):
+       def __init__(self, amplitude=1.0, frequency=1.0, phase=0.0):
+           amp = Parameter("amplitude", amplitude, min=0, max=10, unit="V")
+           freq = Parameter("frequency", frequency, min=0.1, max=5, unit="Hz") 
+           phase = Parameter("phase", phase, min=-3.14, max=3.14, unit="rad")
+           super().__init__("sine_model", amplitude=amp, frequency=freq, phase=phase)
+       
+       def __call__(self, x):
+           return self.amplitude.value * np.sin(2*np.pi*self.frequency.value*x + self.phase.value)
+   
+   # Fit to experimental data
+   model = SineModel()
+   model.amplitude.fixed = False  # Allow fitting
+   fitter = Fitter(model, model)
+   result = fitter.fit(x=x_data, y=y_data)
+
+Key Features
+============
+
+**Scientific Parameters with Units**
+  Parameters automatically handle physical units, bounds, and uncertainties using `scipp <https://scipp.github.io/>`_ integration.
+
+**Parameter Dependencies**
+  Express mathematical relationships between parameters that update automatically when dependencies change.
+
+**Multi-Backend Fitting**
+  Unified interface to LMFit, Bumps, and DFO-LS optimization engines with easy algorithm comparison.
+
+**Complete Serialization**
+  Save and restore entire model states including parameter relationships and dependencies.
+
+**Global State Management**
+  Automatic tracking of all objects and their relationships with built-in undo/redo capabilities.
+
+**Developer-Friendly**
+  Clean APIs, comprehensive testing utilities, and extensive documentation for building scientific applications.
+
+Why EasyScience?
+================
+
+**Type Safety & Units**
+  Prevent common scientific computing errors with automatic unit checking and strong typing.
+
+**Reproducible Research**
+  Complete state serialization ensures exact reproducibility of scientific analyses.
+
+**Algorithm Flexibility**
+  Compare different optimization approaches without changing your model code.
+
+**Extensible Architecture**
+  Descriptor pattern makes it easy to create new parameter types and model components.
+
+Open Source & Cross-Platform
+============================
+
+EasyScience is free and open-source software with the source code openly shared on `GitHub repository <https://github.com/easyScience/EasyScience>`_.
+
+* **Cross-platform** - Written in Python and available for Windows, macOS, and Linux
+* **Well-tested** - Comprehensive test suite ensuring reliability across platforms  
+* **Community-driven** - Open to contributions and feature requests
+* **Production-ready** - Used in multiple scientific applications worldwide
+
+
+Projects Built with EasyScience
+===============================
+
+EasyScience serves as the foundation for several scientific applications:
+
+**easyDiffraction**
+  .. image:: https://raw.githubusercontent.com/easyScience/easyDiffractionWww/master/assets/img/card.png
+     :target: https://easydiffraction.org
+     :width: 300px
+  
+  Scientific software for modeling and analysis of neutron diffraction data, providing an intuitive interface for crystallographic refinement.
+
+**easyReflectometry**
+  .. image:: https://raw.githubusercontent.com/easyScience/easyReflectometryWww/master/assets/img/card.png
+     :target: https://easyreflectometry.org  
+     :width: 300px
+  
+  Scientific software for modeling and analysis of neutron reflectometry data, enabling detailed study of thin film structures.
+
+**Your Project Here**
+  EasyScience's flexible architecture makes it ideal for building domain-specific scientific applications. The comprehensive API and documentation help you get started quickly.
+
+Quick Start
+===========
+
+Ready to begin? Here's how to get started:
+
+1. **Install EasyScience**: ``pip install easyscience``
+2. **Read the Overview**: Understand the core concepts and architecture
+3. **Try the Examples**: Work through practical fitting examples
+4. **Explore the API**: Dive into the comprehensive reference documentation
+
+.. code-block:: bash
+
+   pip install easyscience
+
+Then explore the tutorials and examples to learn the key concepts!
+
+Documentation Guide
+===================
+
+.. toctree::
+   :caption: Getting Started
+   :maxdepth: 2
+   :titlesonly:
+
+   getting-started/overview
+   getting-started/installation
+
+New to EasyScience? Start with the :doc:`getting-started/overview` to understand the core concepts, then follow the :doc:`getting-started/installation` guide.
+
+.. toctree::
+   :caption: User Guides
+   :maxdepth: 2
+   :titlesonly:
+
+   fitting/introduction
+
+Learn how to use EasyScience for scientific modeling and data fitting with comprehensive examples and best practices.
+
+.. toctree::
+   :caption: API Reference
+   :maxdepth: 2
+   :titlesonly:
+
+   reference/base
+
+Complete API documentation for all classes, methods, and functions in EasyScience.
+
+.. toctree::
+   :caption: Examples
+   :maxdepth: 2
+   :titlesonly:
+
+   base_examples/index
+   fitting_examples/index
+
+Practical examples and tutorials demonstrating real-world usage patterns.
+
+Need Help?
+==========
+
+* **GitHub Issues**: Report bugs or request features on `GitHub Issues <https://github.com/easyScience/EasyScience/issues>`_
+* **Discussions**: Ask questions in `GitHub Discussions <https://github.com/easyScience/EasyScience/discussions>`_  
+* **API Reference**: Complete documentation of all classes and methods
+* **Examples**: Practical tutorials and code samples
+
+Contributing
+============
+
+EasyScience is developed openly and welcomes contributions! Whether you're fixing bugs, adding features, improving documentation, or sharing usage examples, your contributions help make scientific computing more accessible.
+
+Visit our `GitHub repository <https://github.com/easyScience/EasyScience>`_ to:
+
+* Report issues or suggest features
+* Submit pull requests
+* Join discussions about development
+* Help improve documentation
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
\ No newline at end of file
diff --git a/docs/src/reference/base.rst b/docs/src/reference/base.rst
new file mode 100644
index 00000000..1d91803c
--- /dev/null
+++ b/docs/src/reference/base.rst
@@ -0,0 +1,323 @@
+==============
+API Reference
+==============
+
+This reference provides detailed documentation for all EasyScience classes and functions.
+
+Core Variables and Descriptors
+==============================
+
+Descriptor Base Classes
+-----------------------
+
+.. autoclass:: easyscience.variable.DescriptorBase
+   :members:
+   :inherited-members:
+   :show-inheritance:
+
+.. autoclass:: easyscience.variable.DescriptorNumber
+   :members:
+   :inherited-members:
+   :show-inheritance:
+
+.. autoclass:: easyscience.variable.DescriptorArray
+   :members:
+   :inherited-members:
+   :show-inheritance:
+
+.. autoclass:: easyscience.variable.DescriptorStr
+   :members:
+   :inherited-members:
+   :show-inheritance:
+
+.. autoclass:: easyscience.variable.DescriptorBool
+   :members:
+   :inherited-members:
+   :show-inheritance:
+
+.. autoclass:: easyscience.variable.DescriptorAnyType
+   :members:
+   :inherited-members:
+   :show-inheritance:
+
+Parameters
+----------
+
+.. autoclass:: easyscience.variable.Parameter
+   :members:
+   :inherited-members:
+   :show-inheritance:
+
+   The Parameter class extends DescriptorNumber with fitting capabilities, bounds, and dependency relationships.
+
+   **Key Methods:**
+
+   .. automethod:: from_dependency
+      :noindex:
+   .. automethod:: make_dependent_on
+      :noindex:
+   .. automethod:: make_independent
+      :noindex:
+   .. automethod:: resolve_pending_dependencies
+      :noindex:
+
+Base Classes for Models
+=======================
+
+BasedBase
+---------
+
+.. autoclass:: easyscience.base_classes.BasedBase
+   :members:
+   :inherited-members:
+   :show-inheritance:
+
+   Base class providing serialization, global object registration, and interface management.
+
+ObjBase
+-------
+
+.. autoclass:: easyscience.base_classes.ObjBase
+   :members:
+   :inherited-members:
+   :show-inheritance:
+
+   Container class for creating scientific models with parameters. All user-defined models should inherit from this class.
+
+   **Key Methods:**
+
+   .. automethod:: get_fit_parameters
+      :noindex:
+   .. automethod:: get_parameters
+      :noindex:
+   .. automethod:: _add_component
+
+Collections
+-----------
+
+.. autoclass:: easyscience.base_classes.CollectionBase
+   :members:
+   :inherited-members:
+   :show-inheritance:
+
+   Mutable sequence container for scientific objects with automatic parameter tracking.
+
+Fitting and Optimization
+=========================
+
+Fitter
+-------
+
+.. autoclass:: easyscience.fitting.Fitter
+   :members:
+   :show-inheritance:
+
+   Main fitting engine supporting multiple optimization backends.
+
+   **Key Methods:**
+
+   .. autoproperty:: fit
+      :noindex:
+   .. automethod:: switch_minimizer
+      :noindex:
+   .. automethod:: make_model
+   .. automethod:: evaluate
+
+Available Minimizers
+--------------------
+
+.. autoclass:: easyscience.fitting.AvailableMinimizers
+   :members:
+   :show-inheritance:
+
+   Enumeration of available optimization backends.
+
+Fit Results
+-----------
+
+.. autoclass:: easyscience.fitting.FitResults
+   :members:
+   :show-inheritance:
+
+   Container for fitting results including parameters, statistics, and diagnostics.
+
+Minimizer Base Classes
+----------------------
+
+.. autoclass:: easyscience.fitting.minimizers.MinimizerBase
+   :members:
+   :show-inheritance:
+
+   Abstract base class for all minimizer implementations.
+
+.. autoclass:: easyscience.fitting.minimizers.LMFit
+   :members:
+   :show-inheritance:
+
+   LMFit-based minimizer implementation.
+
+.. autoclass:: easyscience.fitting.minimizers.Bumps
+   :members:
+   :show-inheritance:
+
+   Bumps-based minimizer implementation.
+
+.. autoclass:: easyscience.fitting.minimizers.DFO
+   :members:
+   :show-inheritance:
+
+   DFO-LS-based minimizer implementation.
+
+Global State Management
+========================
+
+Global Object
+-------------
+
+.. autoclass:: easyscience.global_object.GlobalObject
+   :members:
+   :show-inheritance:
+
+   Singleton managing global state, logging, and object tracking.
+
+Object Map
+----------
+
+.. autoclass:: easyscience.global_object.Map
+   :members:
+   :show-inheritance:
+
+   Graph-based registry for tracking object relationships and dependencies.
+
+Undo/Redo System
+----------------
+
+.. autoclass:: easyscience.global_object.undo_redo.UndoStack
+   :members:
+   :show-inheritance:
+
+   Stack-based undo/redo system for parameter changes.
+
+Serialization and I/O
+=====================
+
+Serializer Components
+---------------------
+
+.. autoclass:: easyscience.io.SerializerComponent
+   :members:
+   :show-inheritance:
+
+   Base class providing serialization capabilities.
+
+.. autoclass:: easyscience.io.SerializerDict
+   :members:
+   :show-inheritance:
+
+   Dictionary-based serialization implementation.
+
+.. autoclass:: easyscience.io.SerializerBase
+   :members:
+   :show-inheritance:
+
+   Base serialization functionality.
+
+Models and Examples
+===================
+
+Polynomial Model
+----------------
+
+.. autoclass:: easyscience.models.Polynomial
+   :members:
+   :show-inheritance:
+
+   Built-in polynomial model for demonstration and testing.
+
+Job Management
+==============
+
+Analysis and Experiments
+------------------------
+
+.. autoclass:: easyscience.job.AnalysisBase
+   :members:
+   :show-inheritance:
+
+.. autoclass:: easyscience.job.ExperimentBase
+   :members:
+   :show-inheritance:
+
+.. autoclass:: easyscience.job.JobBase
+   :members:
+   :show-inheritance:
+
+.. autoclass:: easyscience.job.TheoreticalModelBase
+   :members:
+   :show-inheritance:
+
+Utility Functions
+=================
+
+Decorators
+----------
+
+.. autofunction:: easyscience.global_object.undo_redo.property_stack
+
+   Decorator for properties that should be tracked in the undo/redo system.
+
+Class Tools
+-----------
+
+.. autofunction:: easyscience.utils.classTools.addLoggedProp
+
+   Utility for adding logged properties to classes.
+
+String Utilities
+----------------
+
+.. automodule:: easyscience.utils.string
+   :members:
+
+Parameter Dependencies
+-----------------------
+
+.. autofunction:: easyscience.variable.parameter_dependency_resolver.resolve_all_parameter_dependencies
+
+   Resolve all pending parameter dependencies after deserialization.
+
+.. autofunction:: easyscience.variable.parameter_dependency_resolver.get_parameters_with_pending_dependencies
+
+   Find parameters that have unresolved dependencies.
+
+Constants and Enumerations
+===========================
+
+.. autodata:: easyscience.global_object
+   :annotation: GlobalObject
+
+   Global singleton instance managing application state.
+
+Exception Classes
+=================
+
+.. autoclass:: easyscience.fitting.minimizers.FitError
+   :show-inheritance:
+
+   Exception raised when fitting operations fail.
+
+.. autoclass:: scipp.UnitError
+   :show-inheritance:
+
+   Exception raised for unit-related errors (from scipp dependency).
+
+Usage Examples
+==============
+
+For practical usage examples and tutorials, see:
+
+* :doc:`../getting-started/overview` - Introduction and key concepts
+* :doc:`../fitting/introduction` - Comprehensive fitting guide
+* :doc:`../getting-started/installation` - Installation instructions
+
+The API reference covers all public classes and methods. For implementation details and advanced usage patterns, refer to the source code and test suites in the repository.
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-- pypi: https://files.pythonhosted.org/packages/9a/64/c53487d9f4968045b8afa51aed7ca44f58b2589e772f32745f3744476c82/yarl-1.23.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
+  requires_python: '>=3.9'
+- pypi: https://files.pythonhosted.org/packages/11/c9/cd8538dc2e7727095e0c1d867bad1e40c98f37763e6d995c1939f5fdc7b1/yarl-1.22.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
   name: yarl
-  version: 1.23.0
-  sha256: 99c8a9ed30f4164bc4c14b37a90208836cbf50d4ce2a57c71d0f52c7fb4f7598
+  version: 1.22.0
+  sha256: bec03d0d388060058f5d291a813f21c011041938a441c593374da6077fe21b1b
   requires_dist:
   - idna>=2.0
   - multidict>=4.0
   - propcache>=0.2.1
-  requires_python: '>=3.10'
-- pypi: https://files.pythonhosted.org/packages/ae/50/06d511cc4b8e0360d3c94af051a768e84b755c5eb031b12adaaab6dec6e5/yarl-1.23.0-cp313-cp313-macosx_11_0_arm64.whl
+  requires_python: '>=3.9'
+- pypi: https://files.pythonhosted.org/packages/18/91/3274b215fd8442a03975ce6bee5fe6aa57a8326b29b9d3d56234a1dca244/yarl-1.22.0-cp313-cp313-macosx_11_0_arm64.whl
   name: yarl
-  version: 1.23.0
-  sha256: 7c6b9461a2a8b47c65eef63bb1c76a4f1c119618ffa99ea79bc5bb1e46c5821b
+  version: 1.22.0
+  sha256: 22965c2af250d20c873cdbee8ff958fb809940aeb2e74ba5f20aaf6b7ac8c70c
   requires_dist:
   - idna>=2.0
   - multidict>=4.0
   - propcache>=0.2.1
-  requires_python: '>=3.10'
-- pypi: https://files.pythonhosted.org/packages/b2/0d/71ceabc14c146ba8ee3804ca7b3d42b1664c8440439de5214d366fec7d3a/yarl-1.23.0-cp311-cp311-macosx_11_0_arm64.whl
+  requires_python: '>=3.9'
+- pypi: https://files.pythonhosted.org/packages/9a/ee/450914ae11b419eadd067c6183ae08381cfdfcb9798b90b2b713bbebddda/yarl-1.22.0-cp313-cp313-win_amd64.whl
   name: yarl
-  version: 1.23.0
-  sha256: dc52310451fc7c629e13c4e061cbe2dd01684d91f2f8ee2821b083c58bd72432
+  version: 1.22.0
+  sha256: 47743b82b76d89a1d20b83e60d5c20314cbd5ba2befc9cda8f28300c4a08ed4d
   requires_dist:
   - idna>=2.0
   - multidict>=4.0
   - propcache>=0.2.1
-  requires_python: '>=3.10'
-- pypi: https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl
-  name: zipp
-  version: 3.23.0
-  sha256: 071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e
-  requires_dist:
-  - pytest>=6,!=8.1.* ; extra == 'test'
-  - jaraco-itertools ; extra == 'test'
-  - jaraco-functools ; extra == 'test'
-  - more-itertools ; extra == 'test'
-  - big-o ; extra == 'test'
-  - pytest-ignore-flaky ; extra == 'test'
-  - jaraco-test ; extra == 'test'
-  - sphinx>=3.5 ; extra == 'doc'
-  - jaraco-packaging>=9.3 ; extra == 'doc'
-  - rst-linker>=1.9 ; extra == 'doc'
-  - furo ; extra == 'doc'
-  - sphinx-lint ; extra == 'doc'
-  - jaraco-tidelift>=1.4 ; extra == 'doc'
-  - pytest-checkdocs>=2.4 ; extra == 'check'
-  - pytest-ruff>=0.2.1 ; sys_platform != 'cygwin' and extra == 'check'
-  - pytest-cov ; extra == 'cover'
-  - pytest-enabler>=2.2 ; extra == 'enabler'
-  - pytest-mypy ; extra == 'type'
   requires_python: '>=3.9'
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
-  sha256: 68f0206ca6e98fea941e5717cec780ed2873ffabc0e1ed34428c061e2c6268c7
-  md5: 4a13eeac0b5c8e5b8ab496e6c4ddd829
-  depends:
-  - __glibc >=2.17,<3.0.a0
-  - libzlib >=1.3.1,<2.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  purls: []
-  size: 601375
-  timestamp: 1764777111296
-- conda: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.7-h3eecb57_6.conda
-  sha256: 47101a4055a70a4876ffc87b750ab2287b67eca793f21c8224be5e1ee6394d3f
-  md5: 727109b184d680772e3122f40136d5ca
-  depends:
-  - __osx >=10.13
-  - libzlib >=1.3.1,<2.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  purls: []
-  size: 528148
-  timestamp: 1764777156963
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-hbf9d68e_6.conda
-  sha256: 9485ba49e8f47d2b597dd399e88f4802e100851b27c21d7525625b0b4025a5d9
-  md5: ab136e4c34e97f34fb621d2592a393d8
-  depends:
-  - __osx >=11.0
-  - libzlib >=1.3.1,<2.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  purls: []
-  size: 433413
-  timestamp: 1764777166076
diff --git a/pixi.toml b/pixi.toml
index 5bc43ea6..a7a8897b 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -1,259 +1,54 @@
-#######################
-# ENVIRONMENT VARIABLES
-#######################
-
-# Platform-independent
-
-[activation.env]
-PYTHONIOENCODING = "utf-8"
-
-# Platform-specific
-
-# Ensures the main package is used from the source code during
-# development, even if main package is installed in editable mode
-# via uv. This is important because `pixi update` might replace
-# the installed version with the latest released version.
-
-# Unix/macOS
-[target.unix.activation.env]
-PYTHONPATH = "${PIXI_PROJECT_ROOT}/src${PYTHONPATH:+:${PYTHONPATH}}"
-
-# Windows
-[target.win.activation.env]
-PYTHONPATH = "${PIXI_PROJECT_ROOT}/src;%PYTHONPATH%"
-
-###########
-# WORKSPACE
-###########
-
 [workspace]
-
-# Supported platforms for the lock file (pixi.lock)
-platforms = ['win-64', 'linux-64', 'osx-64', 'osx-arm64']
-
-# Channels for fetching packages
-channels = ['conda-forge']
-
-##########
-# FEATURES
-##########
-
-# Default feature configuration
+name = "easyscience"
+channels = ["conda-forge"]
+platforms = ["linux-64", "osx-64", "osx-arm64", "win-64"]
 
 [dependencies]
-nodejs = '*' # Required for Prettier (non-Python formatting)
-#gsl = '*' # GNU Scientific Library; required for pdffit2
+python = ">=3.11,<3.14"
 
-[pypi-dependencies] # == [feature.default.pypi-dependencies]
-#pip = '*' # Native package installer
-easyscience = { path = ".", editable = true, extras = ['dev'] }
+[feature.dev.pypi-dependencies]
+# Development dependencies
+easyscience = { path = ".", extras = ["dev"], editable = true }
 
-# Specific features: Set specific Python versions
+[feature.docs.pypi-dependencies]
+# Documentation dependencies
+easyscience = { path = ".", extras = ["docs"], editable = true }
 
-[feature.py-min.dependencies]
-python = '3.11.*'
-[feature.py-max.dependencies]
-python = '3.13.*'
-
-##############
-# ENVIRONMENTS
-##############
+[feature.build.pypi-dependencies]
+# build dependencies
+easyscience = { path = ".", extras = ["build"], editable = true }
 
 [environments]
-
-# The `default` feature is always included in all environments.
-# Additional features can be specified per environment.
-py-311-env = { features = ['default', 'py-min'] }
-py-313-env = { features = ['default', 'py-max'] }
-
-# The `default` environment is always created and includes the `default` feature.
-# It does not need to be specified explicitly unless non-default features are included.
-default = { features = ['default', 'py-max'] }
-
-#######
-# TASKS
-#######
+# Default environment with basic build setup
+default = ["build"]
+# Development environment with build, dev, and docs features
+dev = ["build", "dev", "docs"]
 
 [tasks]
+# Development tasks
+test = "pytest --cov=src/easyscience tests --cov-branch --cov-report=xml:coverage-unit.xml"
+test-unit = "pytest tests/unit_tests"
+test-integration = "pytest tests/integration_tests"
 
-##################
-# 🧪 Testing Tasks
-##################
-
-unit-tests = 'python -m pytest tests/unit/ --color=yes -v'
-integration-tests = 'python -m pytest tests/integration/ --color=yes -n auto -v'
-notebook-tests = 'python -m pytest --nbmake docs/docs/tutorials/ --nbmake-timeout=600 --color=yes -n auto -v'
-script-tests = 'python -m pytest tools/test_scripts.py --color=yes -n auto -v'
-
-test = { depends-on = ['unit-tests'] }
-
-###########
-# ✔️ Checks
-###########
-
-pyproject-check = 'python -m validate_pyproject pyproject.toml'
-docs-format-check = 'docformatter --check src/ docs/docs/tutorials/'
-notebook-format-check = 'nbqa ruff docs/docs/tutorials/'
-py-lint-check = 'ruff check src/ tests/ docs/docs/tutorials/'
-py-format-check = "ruff format --check src/ tests/ docs/docs/tutorials/"
-nonpy-format-check = "npx prettier --list-different --config=prettierrc.toml --ignore-unknown ."
-nonpy-format-check-modified = "python tools/nonpy_prettier_modified.py"
-
-check = 'pre-commit run --hook-stage manual --all-files'
-
-##########
-# 🛠️ Fixes
-##########
-
-docs-format-fix = 'docformatter --in-place src/ docs/docs/tutorials/'
-notebook-format-fix = 'nbqa ruff --fix docs/docs/tutorials/'
-py-lint-fix = 'ruff check --fix src/ tests/ docs/docs/tutorials/'
-py-format-fix = "ruff format src/ tests/ docs/docs/tutorials/"
-nonpy-format-fix = 'npx prettier --write --list-different --config=prettierrc.toml --ignore-unknown .'
-nonpy-format-fix-modified = "python tools/nonpy_prettier_modified.py --write"
-success-message-fix = 'echo "✅ All code auto-formatting steps have been applied."'
-
-fix = { depends-on = [
-  'py-format-fix',
-  'docs-format-fix',
-  'py-lint-fix',
-  'nonpy-format-fix',
-  'notebook-format-fix',
-  'success-message-fix',
-] }
+# Code quality tasks
+lint-check = "ruff check ."
+lint = "ruff check . --fix"
+format-check = "ruff format . --check"
+format = "ruff format ."
 
-####################
-# 🧮 Code Complexity
-####################
+# Build tasks
+build = "python -m build"
+clean = "rm -rf dist/ build/ *.egg-info/"
+update-lock = "pixi update"
 
-complexity-check = 'radon cc -s src/'
-complexity-check-json = 'radon cc -s -j src/'
-maintainability-check = 'radon mi src/'
-maintainability-check-json = 'radon mi -j src/'
-raw-metrics = 'radon raw -s src/'
-raw-metrics-json = 'radon raw -s -j src/'
+# Tox tasks
+tox = "tox"
 
-#############
-# 📊 Coverage
-#############
+# Documentation tasks
+docs-build = "sphinx-build -b html docs/src docs/_build/html"
+docs-clean = "rm -rf docs/_build/"
 
-unit-tests-coverage = 'pixi run unit-tests --cov=src/easyscience --cov-report=term-missing'
-integration-tests-coverage = 'pixi run integration-tests --cov=src/easyscience --cov-report=term-missing'
-docstring-coverage = 'interrogate -c pyproject.toml src/easyscience'
-
-cov = { depends-on = [
-  'docstring-coverage',
-  'unit-tests-coverage',
-  'integration-tests-coverage',
-] }
-
-########################
-# 📓 Notebook Management
-########################
-
-notebook-convert = 'jupytext docs/docs/tutorials/*.py --from py:percent --to ipynb'
-notebook-strip = 'nbstripout docs/docs/tutorials/*.ipynb'
-notebook-tweak = 'python tools/tweak_notebooks.py tutorials/'
-notebook-exec = 'python -m pytest --nbmake docs/docs/tutorials/ --nbmake-timeout=600 --overwrite --color=yes -n auto -v'
-
-notebook-prepare = { depends-on = [
-  #'notebook-convert',
-  'notebook-strip',
-  #'notebook-tweak',
-] }
-
-########################
-# 📚 Documentation Tasks
-########################
-
-docs-vars = "JUPYTER_PLATFORM_DIRS=1 PYTHONWARNINGS='ignore::RuntimeWarning'"
-docs-pre = "pixi run docs-vars python -m mkdocs"
-docs-serve = "pixi run docs-pre serve -f docs/mkdocs.yml"
-docs-serve-dirty = "pixi run docs-serve --dirty"
-docs-build = "pixi run docs-pre build -f docs/mkdocs.yml"
-docs-build-local = "pixi run docs-build --no-directory-urls"
-
-docs-deploy-pre = 'mike deploy -F docs/mkdocs.yml --push --branch gh-pages --update-aliases --alias-type redirect'
-docs-set-default-pre = 'mike set-default -F docs/mkdocs.yml --push --branch gh-pages'
-
-docs-update-assets = 'python tools/update_docs_assets.py'
-
-##############################
-# 📦 Template Management Tasks
-##############################
-
-copier-copy = "copier copy gh:easyscience/templates . --data-file .copier-answers.yml --data template_type=lib"
-copier-recopy = "copier recopy --data-file .copier-answers.yml --data template_type=lib"
-copier-update = "copier update --data-file .copier-answers.yml --data template_type=lib"
-
-#####################
-# 🪝 Pre-commit Hooks
-#####################
-
-pre-commit-clean = 'pre-commit clean'
-pre-commit-install = 'pre-commit install --hook-type pre-commit --hook-type pre-push --overwrite'
-pre-commit-uninstall = 'pre-commit uninstall --hook-type pre-commit --hook-type pre-push'
-pre-commit-setup = { depends-on = [
-  'pre-commit-clean',
-  'pre-commit-uninstall',
-  'pre-commit-install',
-] }
-
-#################
-# 🐙️ GitHub Tasks
-#################
-
-repo-wiki = 'gh api -X PATCH repos/easyscience/core -f has_wiki=false'
-repo-discussions = 'gh api -X PATCH repos/easyscience/core -f has_discussions=true'
-repo-description = "gh api -X PATCH repos/easyscience/core -f description='Core building blocks for EasyScience'"
-repo-homepage = "gh api -X PATCH repos/easyscience/core -f homepage='https://easyscience.github.io/core'"
-repo-config = { depends-on = [
-  'repo-wiki',
-  'repo-discussions',
-  'repo-description',
-  'repo-homepage',
-] }
-
-master-protection = 'gh api -X POST repos/easyscience/core/rulesets --input .github/configs/rulesets-master.json'
-develop-protection = 'gh api -X POST repos/easyscience/core/rulesets --input .github/configs/rulesets-develop.json'
-gh-pages-protection = 'gh api -X POST repos/easyscience/core/rulesets --input .github/configs/rulesets-gh-pages.json'
-branch-protection = { depends-on = [
-  'master-protection',
-  'develop-protection',
-  'gh-pages-protection',
-] }
-
-pages-deployment = 'gh api -X POST repos/easyscience/core/pages --input .github/configs/pages-deployment.json'
-
-github-labels = 'python tools/update_github_labels.py'
-
-#########################
-# ⚖️ SPDX License Headers
-#########################
-
-spdx-remove = 'python tools/remove_spdx.py src/ tests/'
-spdx-add = 'python tools/add_spdx.py src/ tests/'
-spdx-check = 'python tools/check_spdx.py src/ tests/'
-
-####################################
-# 🚀 Other Development & Build Tasks
-####################################
-
-default-build = 'python -m build'
-dist-build = 'python -m build --wheel --outdir dist'
-
-npm-config = 'npm config set registry https://registry.npmjs.org/'
-prettier-install = 'npm install --no-save --no-audit --no-fund prettier prettier-plugin-toml'
-
-clean-pycache = "find . -type d -name '__pycache__' -prune -exec rm -rf '{}' +"
-
-post-install = { depends-on = [
-  'npm-config',
-  'prettier-install',
-  #'pre-commit-setup',
-] }
+[pypi-dependencies] # == [feature.default.pypi-dependencies]
+# Editable install of the package itself
+easyscience = { path = ".", editable = true }
 
-##########################
-# 🔗 Main Package Shortcut
-##########################
-easyscience = 'python -m easyscience'
diff --git a/prettierrc.toml b/prettierrc.toml
deleted file mode 100644
index b98c86eb..00000000
--- a/prettierrc.toml
+++ /dev/null
@@ -1,22 +0,0 @@
-plugins = [
-  "prettier-plugin-toml", # use the TOML plugin
-]
-
-endOfLine = 'lf'     # change line endings to LF
-proseWrap = 'always' # change wrapping in Markdown files
-semi = false         # remove semicolons
-singleQuote = true   # use single quotes instead of double quotes
-tabWidth = 2         # change tab width to 2 spaces
-useTabs = false      # use spaces instead of tabs
-
-printWidth = 79 # wrap lines at 79 characters
-
-[[overrides]]
-files = ["*.md"]
-[overrides.options]
-printWidth = 72 # wrap Markdown files at 72 characters
-
-[[overrides]]
-files = ["*.yml", "*.yaml"]
-[overrides.options]
-printWidth = 88 # wrap YAML files at 88 characters
diff --git a/pyproject.toml b/pyproject.toml
index c4cba0c2..3cdb977c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,243 +1,162 @@
-###############################
-# Configuration for the project
-###############################
+[build-system]
+requires = [
+    "hatchling<=1.21.0",
+    "setuptools-git-versioning",
+]
+build-backend = "hatchling.build"
+
+[tool.setuptools-git-versioning]
+enabled = true
 
 [project]
-name = 'easyscience'
-dynamic = ['version'] # Use versioningit to manage the version
-description = 'Core building blocks for EasyScience'
-authors = [{ name = 'EasyScience contributors' }]
-readme = 'README.md'
-license = 'BSD-3-Clause'
-license-files = ['LICENSE']
+name = "easyscience"
+dynamic = ["version"]
+description = "Generic logic for easyScience libraries"
+readme = "README.md"
+authors = [{name = "EasyScience contributors"}]
+license = { file = "LICENSE" }
 classifiers = [
-  'Intended Audience :: Science/Research',
-  'Topic :: Scientific/Engineering',
-  'License :: OSI Approved :: BSD License',
-  'Operating System :: OS Independent',
-  'Programming Language :: Python :: 3 :: Only',
-  'Programming Language :: Python :: 3',
-  'Programming Language :: Python :: 3.11',
-  'Programming Language :: Python :: 3.12',
-  'Programming Language :: Python :: 3.13',
+    "License :: OSI Approved :: BSD License",
+    "Operating System :: OS Independent",
+    "Topic :: Scientific/Engineering",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3 :: Only",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Development Status :: 3 - Alpha"
 ]
-requires-python = '>=3.11'
+requires-python = ">=3.11"
 dependencies = [
-  'asteval',       # Safely evaluate Python expressions from strings
-  'lmfit',         # Non-linear least squares fitting
-  'bumps',         # Bayesian uncertainty estimation
-  'dfo-ls',        # Derivative-free optimization
-  'uncertainties', # Propagation of uncertainties in calculations
-  'numpy',         # Numerical computing
-  'scipp<26.1.0',  # Handling and analysis of scientific data
-  'pooch',         # Data downloader
-  'matplotlib',    # Plotting library
-  'jupyterlab',    # Jupyter notebooks
-  'pixi-kernel',   # Pixi Jupyter kernel
-  'ipykernel',     # Jupyter kernel (required for running notebooks)
-  'ipywidgets',    # Widgets (needed for interactive matplotlib backends)
-  'ipympl',        # Matplotlib Jupyter widget backend (%matplotlib widget)
-  'IPython',       # Interactive Python shell
+    "asteval",
+    "bumps",
+    "DFO-LS",
+    "lmfit",
+    "numpy",  
+    "uncertainties",
+    "scipp"
 ]
 
 [project.optional-dependencies]
+build = [
+    "hatchling <= 1.21.0",
+    "setuptools-git-versioning",
+    "build"
+]
 dev = [
-  'GitPython',                       # Interact with Git repositories
-  'build',                           # Building the package
-  'pre-commit',                      # Pre-commit hooks
-  'jinja2',                          # Templating
-  'nbmake',                          # Building notebooks
-  'nbstripout',                      # Strip output from notebooks
-  'nbqa',                            # Linting and formatting notebooks
-  'pytest',                          # Testing
-  'pytest-cov',                      # Test coverage
-  'pytest-xdist',                    # Enable parallel testing
-  'ruff',                            # Linting and formatting code
-  'radon',                           # Code complexity and maintainability
-  'validate-pyproject[all]',         # Validate pyproject.toml
-  'versioningit',                    # Automatic versioning from git tags
-  'jupytext',                        # Jupyter notebook text format support
-  'jupyterquiz',                     # Quizzes in Jupyter notebooks
-  'docformatter',                    # Code formatter for docstrings
-  'interrogate',                     # Check for missing docstrings
-  'copier',                          # Template management
-  'mike',                            # MkDocs: Versioned documentation support
-  'mkdocs',                          # Static site generator
-  'mkdocs-material',                 # Documentation framework on top of MkDocs
-  'mkdocs-autorefs',                 # MkDocs: Auto-references support
-  'mkdocs-jupyter',                  # MkDocs: Jupyter notebook support
-  'mkdocs-plugin-inline-svg',        # MkDocs: Inline SVG support
-  'mkdocs-markdownextradata-plugin', # MkDocs: Markdown extra data support, such as global variables
-  'mkdocstrings-python',             # MkDocs: Python docstring support
-  'pyyaml',                          # YAML parser
-  'spdx-headers',                    # SPDX license header validation
+    "build",
+    "codecov",
+    "flake8",
+    "matplotlib",
+    "pytest",
+    "pytest-cov",
+    "ruff",
+    "tox-gh-actions",
+    "jupyterlab"
+]
+docs = [
+    "doc8",
+    "readme-renderer",
+    "sphinx_autodoc_typehints", 
+    "sphinx_book_theme",
+    "sphinx_gallery",
+    "toml"
 ]
 
 [project.urls]
-Documentation = 'https://easyscience.github.io/core'
-'Release Notes' = 'https://github.com/easyscience/core/releases'
-'Source Code' = 'https://github.com/easyscience/core'
-'Issue Tracker' = 'https://github.com/easyscience/core/issues'
-
-############################
-# Build system configuration
-############################
+homepage = "https://github.com/EasyScience/EasyScience"
+documentation = "https://easyscience.github.io/EasyScience/"
 
-# Build system 'hatch' -- Python project manager
-# https://hatch.pypa.io/
-
-# Versioning system 'versioningit' -- Versioning from git tags
-# https://versioningit.readthedocs.io/
-
-[build-system]
-build-backend = 'hatchling.build'
-requires = ['hatchling', 'versioningit']
-
-#############################
-# Configuration for hatchling
-#############################
-
-[tool.hatch.build.targets.wheel]
-packages = ['src/easyscience']
-exclude = ['src/easyscience/legacy']
+[tool.hatch.version]
+path = "src/easyscience/__version__.py"
 
 [tool.hatch.metadata]
 allow-direct-references = true
 
-[tool.hatch.version]
-source = 'versioningit' # Use versioningit to manage the version
-
-################################
-# Configuration for versioningit
-################################
-
-# Versioningit generates versions from git tags, so we don't need to
-# either specify them statically in pyproject.toml or save them in the
-# source code. Do not use {distance} in the version format, as it
-# forces a version bump for every commit, which triggers unnecessary
-# pixi.lock update without any changes to the source code.
-
-[tool.versioningit.format]
-distance = '{base_version}+dev{distance}'            # example: 1.2.3.post4+dev3
-dirty = '{base_version}+dirty{distance}'             # example: 0.5.8+dirty3
-distance-dirty = '{base_version}+devdirty{distance}' # example: 0.5.8+devdirty3
-
-# Configure how versioningit detects versions from Git
-# - 'match' ensures it only considers tags starting with 'v'
-# - 'default-tag' is used as a fallback when no matching tag is found
-[tool.versioningit.vcs]
-method = 'git'
-match = ['v*']
-default-tag = 'v999.0.0'
-
-################################
-# Configuration for interrogate
-################################
-
-# 'interrogate' -- Check for missing docstrings
-# https://interrogate.readthedocs.io/en/latest/
-
-[tool.interrogate]
-fail-under = 0 # Minimum docstring coverage percentage to pass
-verbose = 1
-#exclude = ['src/**/__init__.py']
-
-#######################################
-# Configuration for coverage/pytest-cov
-#######################################
-
-[tool.coverage.run]
-branch = true    # Measure branch coverage as well
-source = ['src'] # Limit coverage to the source code directory
-
-[tool.coverage.report]
-show_missing = true  # Show missing lines
-skip_covered = false # Skip files with 100% coverage in the report
-fail_under = 0       # Minimum coverage percentage to pass
-
-##########################
-# Configuration for pytest
-##########################
+[tool.hatch.build.targets.sdist]
+packages = ["src"]
 
-[tool.pytest.ini_options]
-addopts = '--import-mode=importlib'
-markers = ['fast: mark test as fast (should be run on every push)']
-testpaths = ['tests']
+[tool.hatch.build.targets.wheel]
+packages = ["src/easyscience"]
+exclude = ["src/easyscience/legacy"]
 
-########################
-# Configuration for ruff
-########################
+[tool.coverage.run]
+source = ["src/easyscience"]
 
-# 'ruff' -- Python linter and code formatter
-# https://docs.astral.sh/ruff/rules/
+[tool.github.info]
+organization = 'EasyScience'
+repo = "easyscience"
 
 [tool.ruff]
-exclude = ['legacy', 'tests']
-indent-width = 4
-line-length = 99
-preview = true                # Enable new rules that are not yet stable, like DOC
+line-length = 127
+exclude = [
+    "docs",
+    "examples_old",
+    "tests"
+]
 
 [tool.ruff.format]
-docstring-code-format = true    # Whether to format code snippets in docstrings
-docstring-code-line-length = 72 # Line length for code snippets in docstrings
-indent-style = 'space'          # PEP 8 recommends using spaces over tabs
-line-ending = 'lf'              # Line endings will be converted to \n
-quote-style = 'single'          # But double quotes in docstrings (PEP 8, PEP 257)
+quote-style = "single"
+
+[tool.ruff.per-file-ignores]
+# allow asserts in test files
+"*test_*.py" = ["S101"]
 
-# https://docs.astral.sh/ruff/rules/
 [tool.ruff.lint]
+ignore-init-module-imports = true
 select = [
-  #  'E',   # General PEP 8 style errors
-  'E9', # Runtime errors (e.g., syntax errors, undefined names)
-  #  'F',   # Pyflakes-specific checks (e.g., unused variables, imports)
-  'F63', # Issues related to invalid escape sequences in strings
-  'F7',  # Type-related errors (e.g., mismatched argument types, unsupported operations)
-  'F82', # Import-related errors (e.g., unresolved imports, reimported modules)
-  'I',   # Import sorting issues (e.g., unsorted imports)
-  #  'S',   # Security-related issues (e.g., use of insecure functions or libraries)
-  #  'W',   # General PEP 8 warnings (e.g., lines too long, trailing whitespace)
+    # flake8 settings from existing CI setup
+    "E9", "F63", "F7", "F82",
+    # Code should be polished to fulfill all cases below
+    # https://docs.astral.sh/ruff/rules/
+    # pycodestyle
+    "E",
+    # Pyflakes
+    "F",
+    # pyupgrade
+#    "UP",
+    # flake8-bugbear
+#    "B",
+    # flake8-simplify
+#    "SIM",
+    # isort
+    "I",
+    # flake8-bandit
+    "S",
 ]
 
-[tool.ruff.lint.per-file-ignores]
-'tests/**/*.py' = ['S101'] # Allow assert statements in tests
-
-[tool.ruff.lint.flake8-tidy-imports]
-ban-relative-imports = 'all'
-
 [tool.ruff.lint.isort]
 force-single-line = true
 
-[tool.ruff.lint.mccabe]
-max-complexity = 10 # default is 10
-
-[tool.ruff.lint.pycodestyle]
-# PEP 8 line length guidance:
-# https://peps.python.org/pep-0008/#maximum-line-length
-# Use 99 characters as the project-wide maximum for regular code lines.
-max-line-length = 99
-# allow longer lines so that parameter declarations such as
-# `name (Type | Type | None):` remain on a single line. Splitting these
-# lines can prevent tools such as MkDocs and IDEs from correctly
-# parsing and rendering parameter documentation.
-# The descriptive text itself is wrapped more strictly by
-# `docformatter` (see the configuration in [tool.docformatter] below)
-# whenever it is treated as normal paragraph text.
-# The line length for code snippets in docstrings is also more strict,
-# as defined in the [tool.ruff.format] section above.
-max-doc-length = 99
-
-[tool.ruff.lint.pydocstyle]
-convention = 'google'
-
-################################
-# Configuration for docformatter
-################################
-
-# 'docformatter' -- Code formatter for docstrings
-# https://docformatter.readthedocs.io/en/latest/
-
-[tool.docformatter]
-recursive = true
-wrap-summaries = 72
-wrap-descriptions = 72
-close-quotes-on-newline = true
+[tool.tox]
+legacy_tox_ini = """
+[tox]
+isolated_build = True
+envlist = py{3.11,3.12,3.13}
+[gh-actions]
+python =
+        3.11: py311
+        3.12: py312
+        3.13: py313
+[gh-actions:env]
+PLATFORM =
+    ubuntu-latest: linux
+    macos-latest: macos
+    macos-15-intel: macos-intel
+    windows-latest: windows
+[testenv]
+passenv =
+    CI
+    GITHUB_ACTIONS
+    GITHUB_ACTION
+    GITHUB_REF
+    GITHUB_REPOSITORY
+    GITHUB_HEAD_REF
+    GITHUB_RUN_ID
+    GITHUB_SHA
+    COVERAGE_FILE
+deps = coverage
+commands =
+    pip install -e '.[dev]'
+    pytest --cov --cov-report=xml
+"""
diff --git a/resources/images/ec_logo.svg b/resources/images/ec_logo.svg
new file mode 100644
index 00000000..25ee716f
--- /dev/null
+++ b/resources/images/ec_logo.svg
@@ -0,0 +1,25 @@
+<?xml version="1.0" encoding="utf-8"?>
+<svg viewBox="0 0 822 189" width="822" height="189" style="enable-background:new 0 0 826.9 189;" xmlns="http://www.w3.org/2000/svg">
+  <defs>
+    <style type="text/css">
+	.st0{fill:#848688;}
+	.st1{font-family:'Nunito-Light';}
+	.st2{font-size:156px;}
+	.st3{font-family:'Nunito-SemiBold';}
+	.st4{fill:#009CD3;}
+	.st5{fill:#00B4D5;stroke:#A3D9EA;stroke-width:6;stroke-miterlimit:1.1061;}
+	.st6{fill:#33CCFF;stroke:#A3D9EA;stroke-width:6;stroke-miterlimit:1.1061;}
+	.st7{fill:#DBEFF8;stroke:#A3D9EA;stroke-width:6;stroke-miterlimit:1.1061;}
+	.st8{fill:#009CD3;stroke:#A3D9EA;stroke-width:6;stroke-miterlimit:1.1061;}
+</style>
+  </defs>
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+  <g>
+    <circle class="st4" cx="94.5" cy="94.5" r="94.5"/>
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+    <rect x="28.82" y="28.82" transform="matrix(0, 1, -1, 0, 186.974869, 2.033016)" class="st6" width="127.281" height="127.281" style="stroke-miterlimit: 2;"/>
+    <circle class="st7" cx="94.798" cy="94.79" r="60.099"/>
+    <circle class="st8" cx="94.01" cy="94.986" r="31.869"/>
+  </g>
+</svg>
\ No newline at end of file
diff --git a/resources/images/ec_logo_single.svg b/resources/images/ec_logo_single.svg
new file mode 100644
index 00000000..d6f33918
--- /dev/null
+++ b/resources/images/ec_logo_single.svg
@@ -0,0 +1,23 @@
+<?xml version="1.0" encoding="utf-8"?>
+<svg viewBox="0 0 189 189" width="189" height="189" style="enable-background:new 0 0 189 189;" xmlns="http://www.w3.org/2000/svg">
+  <defs>
+    <style type="text/css">
+	.st0{fill:#848688;}
+	.st1{font-family:'Nunito-Light';}
+	.st2{font-size:156px;}
+	.st3{font-family:'Nunito-SemiBold';}
+	.st4{fill:#009CD3;}
+	.st5{fill:#00B4D5;stroke:#A3D9EA;stroke-width:6;stroke-miterlimit:1.1061;}
+	.st6{fill:#33CCFF;stroke:#A3D9EA;stroke-width:6;stroke-miterlimit:1.1061;}
+	.st7{fill:#DBEFF8;stroke:#A3D9EA;stroke-width:6;stroke-miterlimit:1.1061;}
+	.st8{fill:#009CD3;stroke:#A3D9EA;stroke-width:6;stroke-miterlimit:1.1061;}
+</style>
+  </defs>
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diff --git a/resources/images/ec_logo_wfont.svg b/resources/images/ec_logo_wfont.svg
new file mode 100644
index 00000000..046d884a
--- /dev/null
+++ b/resources/images/ec_logo_wfont.svg
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"); }
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"); 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"); }
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ABgwAACACDAAkKDAoJDH4NAQwLCgwLfAADAgYCAwZ+BwEGBQIGbgAKCghfAAgIHEsACwsCXwACAiBLAAUFBGAABAQZBEwbS7AdUFhASQABAAGDAAAIAIMACQoMCgkMfg0BDAsKDAt8AAMCBgIDBn4HAQYFAgYFfAAKCghfAAgIHEsACwsCXwACAiBLAAUFBGAABAQZBEwbQE8AAQABgwAACACDAAkKDAoJDH4NAQwLCgwLfAADAgYCAwZ+AAYHAgYHfAAHBQIHBXwACgoIXwAICBxLAAsLAl8AAgIgSwAFBQRgAAQEGQRMWVlZWUAYEBAQVhBVUlBMSkdFKiEkJyQiHCYgDgcdKwAjIiY1NDc3NjMyFhUUBwcSFhUUBwYGBwc2MzIWFRQGIyInJjU0NhcWMzI2NTQmIyIGIyImNzcuAjU0NjYzMhYXFhUUBiMiJyYmIyIGFRQWMzI2NzYzAY0ICw8JXxMUERgcc9QUEyhrPAUOCx8rQDsnHhIRDh4aGhwPDgoiBAgNAQhZgkVQlmVCdiwTFA4REDBPMm52dm4wTzIUDQL4DgoKCWUTGBEYEU39nxkSGQ8kKAMlAyQhJS8LBxIMEAQIEBAMDQgLCUMJXJtnbqNXKScPGRIZDSQdjoWGjh4jDf//ADr/+AJ8A5oAIgAgAAAAAwLXAhsAAP//ADr/+AJ8A4QAIgAgAAAAAwLTAhsAAAACAFIAAAKwAsEADgAVACxAKQADAwBdAAAAFEsFAQICAV0EAQEBFQFMEA8AABQSDxUQFQAOAAw1BgcVKzImNRE0NjMzMhYVFAYjIzcgERAhIxFtGxsYxKu8vKvEvgEE/vyKGxcCXRcbuKiouVYBCwEK/esA//8AUgAABRQDmgAiACcAAAAjAOgC2wAAAAMC2ASbAAAAAgAAAAACwgLBABcAJwA8QDkFAQIGAQEHAgFnAAQEA10IAQMDFEsJAQcHAF0AAAAVAEwYGAAAGCcYJiUjHx0cGgAXABUkIzQKBxcrABYVFAYjIyImNREjIiY1NDYzMxE0NjMzEhEQISMVMzIWFRQGIyMVMwIGvLyrxBgbNRYZGRY1GxjE/v78ipsVGBgVm4oCwbioqLkbFwELFRMTFgEBFxv9lQELAQrdFhMTFef//wBSAAACsAOaACIAJwAAAAMC2AIKAAD//wAAAAACwgLBAAIAKQAA//8AUv9AArACwQAiACcAAAADAsoCCwAA//8AUv9WArACwQAiACcAAAADAtACCwAA//8AUgAABMYC9wAiACcAAAAjAdUC6gAAAAMCwASCAAAAAQBSAAACJQLBAB8AL0AsAAIAAwQCA2UAAQEAXQAAABRLAAQEBV0GAQUFFQVMAAAAHwAdISQhJDUHBxkrMiY1ETQ2MyEyFhUUBiMhFSEyFhUUBiMhFSEyFRQGIyFtGxsYAXAXGRkX/sIBKhcZGRf+1gE+MBkX/pAbFwJdFxsWFBQV3hYUFBbpKRQWAP//AFIAAAIlA5sAIgAvAAAAAwLVAdwAAP//AFIAAAIlA4wAIgAvAAAAAwLZAdwAAP//AFIAAAIlA5oAIgAvAAAAAwLYAdwAAAABAFL/PgIlAsEAPwEktQYBBAEBSkuwDVBYQDcAAQAEAwFwBQEEAwAEbgAJAAoLCQplAAgIB10ABwcUSwwBCwsAXQYBAAAVSwADAwJgAAICGQJMG0uwD1BYQDgAAQAEAAEEfgUBBAMABG4ACQAKCwkKZQAICAddAAcHFEsMAQsLAF0GAQAAFUsAAwMCYAACAhkCTBtLsB1QWEA5AAEABAABBH4FAQQDAAQDfAAJAAoLCQplAAgIB10ABwcUSwwBCwsAXQYBAAAVSwADAwJgAAICGQJMG0A/AAEABAABBH4ABAUABAV8AAUDAAUDfAAJAAoLCQplAAgIB10ABwcUSwwBCwsAXQYBAAAVSwADAwJgAAICGQJMWVlZQBYAAAA/AD49Ozc1JDUjISQnJCIjDQcdKyQVFAYjIwc2MzIWFRQGIyInJjU0NhcWMzI2NTQmIyIGIyImNzcjIiY1ETQ2MyEyFhUUBiMhFSEyFhUUBiMhFSECJRkXmAYOCx8rQDsnHhIRDh4aGhwPDgoiBAgNAQmYGBsbGAFwFxkZF/7CASoXGRkX/tYBPlMpFBYsAyQhJS8LBxIMEAQIEBAMDQgLCUkbFwJdFxsWFBQV3hYUFBbpAAIAUv8+AiUDjAAXAFcBcrUeAQgFAUpLsA1QWEBGAgEAAQCDAAUECAcFcAkBCAcECG4AARABAwsBA2cADQAODw0OZQAMDAtdAAsLFEsRAQ8PBF0KAQQEFUsABwcGYAAGBhkGTBtLsA9QWEBHAgEAAQCDAAUECAQFCH4JAQgHBAhuAAEQAQMLAQNnAA0ADg8NDmUADAwLXQALCxRLEQEPDwRdCgEEBBVLAAcHBmAABgYZBkwbS7AdUFhASAIBAAEAgwAFBAgEBQh+CQEIBwQIB3wAARABAwsBA2cADQAODw0OZQAMDAtdAAsLFEsRAQ8PBF0KAQQEFUsABwcGYAAGBhkGTBtATgIBAAEAgwAFBAgEBQh+AAgJBAgJfAAJBwQJB3wAARABAwsBA2cADQAODw0OZQAMDAtdAAsLFEsRAQ8PBF0KAQQEFUsABwcGYAAGBhkGTFlZWUAoGBgAABhXGFZVU09NTEpGQz48OTc2NDAuJyUhHx0bABcAFiIiJhIHFysAJicmNTQ2MzIXFjMyNzYzMhYVFAcGBiMSFRQGIyMHNjMyFhUUBiMiJyY1NDYXFjMyNjU0JiMiBiMiJjc3IyImNRE0NjMhMhYVFAYjIRUhMhYVFAYjIRUhARBSFQYSDBMOI0FBIw4SDBMGFFM23xkXmAYOCx8rQDsnHhIRDh4aGhwPDgoiBAgNAQmYGBsbGAFwFxkZF/7CASoXGRkX/tYBPgMIKygLCQwRETAwEREMCQsnLP1LKRQWLAMkISUvCwcSDBAECBAQDA0ICwlJGxcCXRcbFhQUFd4WFBQW6QD//wBSAAACJQOaACIALwAAAAMC1wHcAAD//wBSAAACPQP4ACIALwAAAAMDBQHcAAD//wBS/0ACJQOaACIALwAAACMCygHcAAAAAwLXAdwAAP//AFIAAAIlA/gAIgAvAAAAAwMGAdwAAP//AFIAAAInA/cAIgAvAAAAAwMHAdwAAP//AFIAAAIlA/YAIgAvAAAAAwMIAdwAAP//AFIAAAIlA5sAIgAvAAAAAwLeAdwAAP//AFIAAAIlA4EAIgAvAAAAAwLSAdwAAP//AFIAAAIlA4QAIgAvAAAAAwLTAdwAAP//AFL/QAIlAsEAIgAvAAAAAwLKAdwAAP//AFIAAAIlA5sAIgAvAAAAAwLUAdwAAP//AFIAAAIlA5oAIgAvAAAAAwLdAdwAAP//AFIAAAIlA4wAIgAvAAAAAwLfAdwAAP//AFIAAAIlA20AIgAvAAAAAwLcAdwAAP//AFIAAAIlBDsAIgAvAAAAIwLcAdwAAAEHAtUB3ACgAAixAgGwoLAzK///AFIAAAIlBDsAIgAvAAAAIwLcAdwAAAEHAtQB3ACgAAixAgGwoLAzKwABAFL/PgJDAsEAMwBxS7ATUFhAKAAFAAYHBQZlAAQEA10AAwMUSwAHBwJdAAICFUsIAQAAAV8AAQEZAUwbQC8AAAIIAgAIfgAFAAYHBQZlAAQEA10AAwMUSwAHBwJdAAICFUsACAgBXwABARkBTFlADCghJCEjNSQlEQkHHSsEMzIWFRQHBiMiJjU0NyEiJjURNDYzITIWFRQjIRUhMhYVFAYjIRUhMhUUBwYGFRQWMzI3AicHCQwQIS01Qyf+8RgbGxgBcBcZMP7CASoXGRkX/tYBPjAmJCUiGxIeeQ8KEwkUPC41IxsXAl0XGxYUKd4WFBQW6SkjBwQoHhwgCwD//wBSAAACJQOCACIALwAAAAMC2wHcAAAAAQBS//sCGwLBABcAb0uwC1BYQBkAAgADBAIDZQABAQBdAAAAFEsFAQQEIARMG0uwDVBYQBkAAgADBAIDZQABAQBdAAAAFEsFAQQEHQRMG0AZAAIAAwQCA2UAAQEAXQAAABRLBQEEBCAETFlZQA0AAAAXABYiISI1BgcYKxYmNRE0NjMhMhUUIyEVITIVFCMhERQGI24cGxgBZjAw/s0BHzAw/uEbGAUdFwJgFxsqKt0qKv7zGBwAAAEAOv/4Ao4CyQAwAD5AOycBBAUBSgACAwYDAgZ+BwEGAAUEBgVlAAMDAV8AAQEcSwAEBABfAAAAHQBMAAAAMAAuIiQkJiYoCAcaKwAWFRUUBgcGBiMiJiY1NDY2MzIWFxYVFAYjIiYnJiYjIgYVFBYzMjc1IyImNTQ2MzMCdxcTHChuNmucUlKZZ0Z3KhQUDgkOCzFQNHJ4e3dQSoMUFxcUtwF2FhPqIh4JEBJWonFvolcpJxAYEhkGByQdjYaJjRjFFRISFQD//wA6//gCjgOMACIASAAAAAMC2QIiAAD//wA6//gCjgOaACIASAAAAAMC2AIiAAD//wA6//gCjgOaACIASAAAAAMC1wIiAAD//wA6/vsCjgLJACIASAAAAAMCzAIpAAD//wA6//gCjgOEACIASAAAAAMC0wIiAAD//wA6//gCjgNtACIASAAAAAMC3AIiAAAAAQBS//sCqALGAB8AZ0uwC1BYQBYABAABAAQBZQYFAgMDFksCAQAAIABMG0uwDVBYQBYABAABAAQBZQYFAgMDFksCAQAAHQBMG0AWAAQAAQAEAWUGBQIDAxZLAgEAACAATFlZQA4AAAAfAB4TJSMTJQcHGSsAFhURFAYjIiY1ESERFAYjIiY1ETQ2MzIWFREhETQ2MwKMHBwXFxz+dhwXFxwcFxccAYocFwLGHRf9nRcdHBgBDf7zFx0cGAJjFx0dF/7+AQIXHQACAAD/+wMeAsYAMQA1AJpLsAtQWEAjDAkHAwUKBAIACwUAZw0BCwACAQsCZQgBBgYWSwMBAQEgAUwbS7ANUFhAIwwJBwMFCgQCAAsFAGcNAQsAAgELAmUIAQYGFksDAQEBHQFMG0AjDAkHAwUKBAIACwUAZw0BCwACAQsCZQgBBgYWSwMBAQEgAUxZWUAaMjIAADI1MjU0MwAxADAjEyMkIyMTIyQOBx0rABYVFAYjIxEUBiMiJjURIREUBiMiJjURIyImNTQ2MzM1NDYzMhYVFSE1NDYzMhYVFTMHNSEVAwYYGBY2HRYXHP52HRYXHDUWGRkWNRwXFh0BihwXFh02nP52AlMVExIV/isZGxsZAQ3+8xkbGxkB1RUSExU/GRsbGT8/GRsbGT/DdHQA//8AUv8oAqgCxgAiAE8AAAADAs8CEwAA//8AUv/7AqgDmgAiAE8AAAADAtcCEwAA//8AUv9AAqgCxgAiAE8AAAADAsoCEwAAAAEAUv/7ALkCxgANAEVLsAtQWEAMAAAAFksCAQEBIAFMG0uwDVBYQAwAAAAWSwIBAQEdAUwbQAwAAAAWSwIBAQEgAUxZWUAKAAAADQAMJQMHFSsWJjURNDYzMhYVERQGI24cHBcYHBsZBRwYAmMXHRwY/Z0YHP//AFL/+wEjA5sAIgBUAAAAAwLVARsAAP///+L/+wEoA4wAIgBUAAAAAwLZARsAAP////n/+wERA5oAIgBUAAAAAwLXARsAAP///97/+wDbA5sAIgBUAAAAAwLeARsAAP////T/+wEWA4EAIgBUAAAAAwLSARsAAP////T/+wEjBDsAIgBUAAAAIwLSARsAAAEHAtUBGwCgAAixAwGwoLAzK///AEb/+wDEA4QAIgBUAAAAAwLTARsAAP//AEv/QAC/AsYAIgBUAAAAAwLKARsAAP///+f/+wC5A5sAIgBUAAAAAwLUARsAAP//ADL/+wDyA5oAIgBUAAAAAwLdARsAAP///+L/+wEoA4wAIgBUAAAAAwLfARsAAP///+T/+wEmA20AIgBUAAAAAwLcARsAAAABABL/PgDoAsYAIgBEtQ4BAAIBSkuwE1BYQBEAAgIWSwMBAAABXwABARkBTBtAGAAAAgMCAAN+AAICFksAAwMBXwABARkBTFm2KiolEQQHGCsWMzIWFRQHBiMiJjU0NjcmNRE0NjMyFhURFAYHBhUUFjMyN8sHCgwQIiw2QiQhBRwXGBwPDEMhGxYaeQ8KEwkUPDAhOBIMDgJjFx0cGP2dEBkEEzkcIAsA////4//7AScDggAiAFQAAAADAtsBGwAAAAH/9P/5AQMCxgAUAB9AHAABARZLAAAAAl8DAQICFQJMAAAAFAASJTMEBxYrFiY1NDc3NjY1ETQ2MzIWFREUBgcHFCArHy8uHRcYHFlZHwcWFicDAgI1OQHRFx0dF/4vXmEFAv////T/+wFbA5oAIgBjAAAAAwLXAWUAAAABAFL/+wJwAsYAIAA3tx8WBwMAAgFKS7AJUFhADQMBAgIWSwEBAAAVAEwbQA0DAQICFksBAQAAIABMWbYlJSUjBAcYKyQVFAYjIicBERQGIyImNRE0NjMyFhURATYzMhYVFAcBAQJwHRMTEP6cGxkXHBwXGBwBVQ4TExwR/tYBPD4TExwQAUH+4hgcHBgCYxcdHBj+7gE3DhwSExD+9v7kAP//AFL++wJwAsYAIgBlAAAAAwLMAdkAAAABAFIAAAIZAsYAEgAfQBwAAAAWSwABAQJeAwECAhUCTAAAABIAECMlBAcWKzImNRE0NjMyFhURITIWFRQGIyFtGxwXGBwBMBcZGRf+mxoWAmIXHRwY/cQWFRUWAAIAUv/5AyYCxgASACcAWUuwJ1BYQBUEAQAAFksDAQEBAmAHBQYDAgIVAkwbQCEEAQAAFksAAQECYAcFBgMCAhVLAAMDAl8HBQYDAgIVAkxZQBUTEwAAEycTJSAeGRYAEgAQIyUIBxYrMiY1ETQ2MzIWFREhMhYVFAYjIQQmNTQ3NzY2NRE0NjMyFhURFAYHB20bHBcYHAESFxkZF/65AbMgKx8vLh0XGBxZWR8aFgJiFx0cGP3EFhUVFgcWFicDAgM1OAHRFx0dF/4vXmEFAv//AFIAAAIZA5sAIgBnAAAAAwLVARsAAP//AFIAAAIZAscAIgBnAAAAAwK+AaQAAP//AFL++wIZAsYAIgBnAAAAAwLMAcwAAP//AFIAAAIZAsYAIgBnAAABBwJVANQAYgAIsQEBsGKwMyv//wBS/0ACGQLGACIAZwAAAAMCygHMAAD//wBS/0oC2wLHACIAZwAAACMBUAIjAAAAAwK6AzIAAP//AFL/VgIZAsYAIgBnAAAAAwLQAcwAAAABAAAAAAIrAsYAJgBkQAkkGxMKBAEDAUpLsCFQWEAeAAEDBAMBBH4AAgIWSwADAx9LBQEEBABeAAAAFQBMG0AgAAMCAQIDAX4AAQQCAQR8AAICFksFAQQEAF4AAAAVAExZQA0AAAAmACUlKCU0BgcYKyQWFRQGIyEiJjU1BwYjIiY1NDc3ETQ2MzIWFRU3NjMyFhUUBwcVIQISGRkX/psXGyQNDBEWGEwcFxgchAsMERcXrAEwVhYVFRYaFukVBxcQFw4sAR0XHRwY4kwHGBAWDWT+AAEAU//7AvYCxgAhAG+3HhAKAwEDAUpLsAtQWEAWAAEDAAMBAH4FBAIDAxZLAgEAACAATBtLsA1QWEAWAAEDAAMBAH4FBAIDAxZLAgEAAB0ATBtAFgABAwADAQB+BQQCAwMWSwIBAAAgAExZWUANAAAAIQAgJSUlJQYHGCsAFhURFAYjIiY1EQMGIyInAxEUBiMiJjURNDYzMhcTEzYzAtocGRYVGMQTHh4TxRgWFRkcFh8T7+0THgLGHRf9mhcaGhcB0f6LIyMBcf4zFxobFgJmFx0k/jcByST//wBT/0AC9gLGACIAcQAAAAMCygI6AAAAAQBS//sClQLGABsAVbYXCQIAAgFKS7ALUFhADgQDAgICFksBAQAAIABMG0uwDVBYQA4EAwICAhZLAQEAAB0ATBtADgQDAgICFksBAQAAIABMWVlADAAAABsAGiUlJQUHFysAFhURFAYjIicBERQGIyImNRE0NjMyFwERNDYzAnobHBYaDv54GxYWGhwWGg4BiBoWAsYdF/2dFx0UAgX+GxcdHBgCYxcdFP36AeYXHf//AFL/+wPqAsYAIgBzAAAAAwBjAucAAP//AFL/+wKVA5sAIgBzAAAAAwLVAgkAAP//AFL/+wKVA5oAIgBzAAAAAwLYAgkAAP//AFL++wKVAsYAIgBzAAAAAwLMAgoAAP//AFL/+wKVA4QAIgBzAAAAAwLTAgkAAP//AFL/QAKVAsYAIgBzAAAAAwLKAgoAAAABAFL/RgKVAsYAIwBytx8REAMCAwFKS7ALUFhAFwUEAgMDFksAAgIgSwABAQBfAAAAGQBMG0uwDVBYQBcFBAIDAxZLAAICHUsAAQEAXwAAABkATBtAFwUEAgMDFksAAgIgSwABAQBfAAAAGQBMWVlADQAAACMAIiUmMzUGBxgrABYVERQGBwcGJjU0Nzc2NTUBERQGIyImNRE0NjMyFwERNDYzAnobWVkeHiEsHmP+gBsWFhocFhoOAYgaFgLGHRf9fF5hBgIBFRUlAwIGag4B/P4bFx0cGAJjFx0U/foB5hcdAP//AFL/SgOfAscAIgBzAAAAIwFQAucAAAADAroD9gAA//8AUv9WApUCxgAiAHMAAAADAtACCgAA//8AUv/7ApUDggAiAHMAAAADAtsCCQAAAAIAOv/4AskCyQAPABsALEApAAICAF8AAAAcSwUBAwMBXwQBAQEdAUwQEAAAEBsQGhYUAA8ADiYGBxUrBCYmNTQ2NjMyFhYVFAYGIzY2NTQmIyIGFRQWMwEdk1BPlGRllE9PlGVqdnVraXV1aQhYom5vo1dXo25uo1hUkIWFj4+FhZAA//8AOv/4AskDmwAiAH4AAAADAtUCFwAA//8AOv/4AskDjAAiAH4AAAADAtkCFwAA//8AOv/4AskDmgAiAH4AAAADAtcCFwAA//8AOv/4AskD+AAiAH4AAAADAwUCFwAA//8AOv9AAskDmgAiAH4AAAAjAsoCFwAAAAMC1wIXAAD//wA6//gCyQP4ACIAfgAAAAMDBgIXAAD//wA6//gCyQP3ACIAfgAAAAMDBwIXAAD//wA6//gCyQP2ACIAfgAAAAMDCAIXAAD//wA6//gCyQObACIAfgAAAAMC3gIXAAD//wA6//gCyQOBACIAfgAAAAMC0gIXAAD//wA6//gCyQQNACIAfgAAACMC0gIXAAABBwLcAhcAoAAIsQQBsKCwMyv//wA6//gCyQQNACIAfgAAACMC0wIXAAABBwLcAhcAoAAIsQMBsKCwMyv//wA6/0ACyQLJACIAfgAAAAMCygIXAAD//wA6//gCyQObACIAfgAAAAMC1AIXAAD//wA6//gCyQOaACIAfgAAAAMC3QIXAAAAAgA6//gCyQNUABwAKAB3S7AdUFhAChUBAQMcAQQBAkobQAoVAQEDHAEEAgJKWUuwHVBYQBwAAwEDgwAEBAFfAgEBARxLBgEFBQBfAAAAHQBMG0AgAAMBA4MAAgIUSwAEBAFfAAEBHEsGAQUFAF8AAAAdAExZQA4dHR0oHScpIyImJQcHGSsAFhUUBgYjIiYmNTQ2NjMyFxYzMjY3NjMyFRQGBwI2NTQmIyIGFRQWMwKIQU+UZWSTUFCUZhkuKhQ3KgMELStEO192dWtpdXVpAl2XZW6jWFiibm+jVwQEJjU4ODtQB/3CkIWFj4+FhZD//wA6//gCyQObACIAjgAAAAMC1QIXAAD//wA6/0ACyQNUACIAjgAAAAMCygIYAAD//wA6//gCyQObACIAjgAAAAMC1AIXAAD//wA6//gCyQOaACIAjgAAAAMC3QIXAAD//wA6//gCyQOCACIAjgAAAAMC2wIXAAD//wA6//gCyQObACIAfgAAAAMC1gIXAAD//wA6//gCyQOMACIAfgAAAAMC3wIXAAD//wA6//gCyQNtACIAfgAAAAMC3AIXAAD//wA6//gCyQQ7ACIAfgAAACMC3AIXAAABBwLVAhcAoAAIsQMBsKCwMyv//wA6//gCyQQ7ACIAfgAAACMC3AIXAAABBwLUAhcAoAAIsQMBsKCwMysAAgA6/z4CyQLJACMALwBmS7ATUFhAIQAFBQRfAAQEHEsHAQYGA18AAwMgSwEBAAACXwACAhkCTBtAKAABAwADAQB+AAUFBF8ABAQcSwcBBgYDXwADAyBLAAAAAl8AAgIZAkxZQA8kJCQvJC4rJhQlEyMIBxorBBUUFjMyNzYzMhYVFAcGIyImNTQ3LgI1NDY2MzIWFhUUBgc2NjU0JiMiBhUUFjMBnyEcDyEEBgoMECMrNUMfYI5NT5RkZZRPdmwEdnVraXV1aRA6HCALAg8LEgkUPC4uIgJZoWxvo1dXo26ItSBIkIWFj4+FhZAAAAMAOv/UAskC7QAjACsAMwBEQEEjGgIEAjEwJiUEBQQRCAIABQNKAAMCA4MAAQABhAAEBAJfAAICHEsGAQUFAF8AAAAdAEwsLCwzLDIpIysjJQcHGSsAFhUUBgYjIicHBiMiJjU0NzcmJjU0NjYzMhc3NjMyFhUUBwcAFwEmIyIGFQA2NTQnARYzAo86T5RlUz8XEBgPFggZNztPlGRUPxgOGBAXCBn+SzoBCyw7aXUBSHY6/vUrOgJSk15uo1geKBoVEQ4NKy+TXm+jVx4pGRYRDgwr/ltIAcsWj4X+65CFhEj+NRb//wA6/9QCyQObACIAmgAAAAMC1QIXAAD//wA6//gCyQOCACIAfgAAAAMC2wIXAAD//wA6//gCyQQ7ACIAfgAAACMC2wIXAAABBwLVAhcAoAAIsQMBsKCwMyv//wA6//gCyQQhACIAfgAAACMC2wIXAAABBwLSAhcAoAAIsQMCsKCwMyv//wA6//gCyQQNACIAfgAAACMC2wIXAAABBwLcAhcAoAAIsQMBsKCwMysAAgA6AAAD8QLBAB0AJgA6QDcAAgADBAIDZQYBAQEAXQAAABRLCQcCBAQFXQgBBQUVBUweHgAAHiYeJSEfAB0AGyEkISM0CgcZKzImNTQ2MyEyFhUUIyEVITIWFRQGIyEVITIVFAYjITcRIyIGFRQWM/a8u6sCIRcZMP7BASsXGRkX/tUBPzAZF/3ffXeCgYGCuKmouBYUKd4WFBQW6SkUFlMCG4mEhIoAAgBS//sCYgLBABIAGQB4S7ALUFhAGgYBAwABAgMBZQAEBABdAAAAFEsFAQICIAJMG0uwDVBYQBoGAQMAAQIDAWUABAQAXQAAABRLBQECAh0CTBtAGgYBAwABAgMBZQAEBABdAAAAFEsFAQICIAJMWVlAExQTAAAYFhMZFBkAEgARJDUHBxYrFiY1ETQ2MzMyFhUUBiMjFRQGIxMyNTQjIxFuHBsY8XB8fHC9GxnmlJSyBRwYAmAXG25lZHDrGBwBcoGA/v8AAgBS//sCYgLGABYAHwCCS7ALUFhAHQYBAwAEBQMEZQcBBQAAAQUAZQACAhZLAAEBIAFMG0uwDVBYQB0GAQMABAUDBGUHAQUAAAEFAGUAAgIWSwABAR0BTBtAHQYBAwAEBQMEZQcBBQAAAQUAZQACAhZLAAEBIAFMWVlAFBcXAAAXHxceHRsAFgAVJSMkCAcXKwAWFRQGIyMVFAYjIiY1ETQ2MzIWFRUzEjY1NCYjIxUzAel5emzEHBcXHBwXFxzEO0hHSra2AipnXFxodBgcHBgCYxgcHBho/ss4Ojo24gACADr/RwLJAskAGwAnACtAKBkBAQMBSgAEBAJfAAICHEsAAwMBXwABAR1LAAAAGQBMJComIyQFBxkrBRYVFAYjIicnJiMiJiY1NDY2MzIWFhUUBgcWFwAWMzI2NTQmIyIGFQJ9CRwTIBM6IElkk1BPlGRllE9kWysg/k51aWp2dWtpdXMPDhIXHmAzWKJub6NXV6Nue68lDjUBDZCQhYWPj4UAAAIAUv/5AoECwQAhACoAMkAvHQEBBAFKBgEEAAEABAFlAAUFA10AAwMUSwIBAAAgAEwjIiknIiojKjUjJCMHBxgrJBUUBiMiJycmJiMjFRQGIyImNRE0NjMzMhYVFAYHFhYXFwEyNjU0JiMjFQKBHRMcEYYXNCpxGxgXHBsY+XV7XlcaKhRn/vpOS0pPuzMPEhkZ0CQd9BgcHBgCYBcbaGRTZw4HJCCiATY9QEA7+AD//wBS//kCgQObACIApAAAAAMC1QHuAAD//wBS//kCgQOaACIApAAAAAMC2AHuAAD//wBS/vsCgQLBACIApAAAAAMCzAHuAAD//wBS//kCgQObACIApAAAAAMC3gHuAAD//wBS/0ACgQLBACIApAAAAAMCygHuAAD//wBS//kCgQOMACIApAAAAAMC3wHuAAD//wBS/1YCgQLBACIApAAAAAMC0AHuAAAAAQAq//gCRgLJADQANkAzAAMEAAQDAH4AAAEEAAF8AAQEAl8AAgIcSwABAQVfBgEFBR0FTAAAADQAMyMmLCImBwcZKxYmJyY1NDYzMhcWMzI2NTQmJy4CNTQ2NjMyFhcWFRQGIyInJiYjIgYVFBYXHgIVFAYGI++JKRMUDg4UWXJQVlBYVGw9Q3hNR3gqFBUODRQuUTlNVkxUWG1BQ3lPCColEBkSGQ1CPDgsLBQSLk89PV81KCcRGBEaDSMfPzgwMRQUK0s7PF0z//8AKv/4AkYDmwAiAKwAAAADAtUB0QAA//8AKv/4AkYDmwAiAKwAAAAjAtUB3QAAAQcC0wFdABYACLECAbAWsDMr//8AKv/4AkYDmgAiAKwAAAADAtgB0QAA//8AKv/4AkYEJAAiAKwAAAAjAtgB0QAAAQcC0wHRAKAACLECAbCgsDMrAAEAKv8+AkYCyQBTAXe1BAEEAQFKS7ALUFhAPAAJCgYKCQZ+AAYHCgYHfAABAAQDAXAFAQQDAARuAAoKCF8ACAgcSwAHBwBfAAAAHUsAAwMCYAACAhkCTBtLsA1QWEA8AAkKBgoJBn4ABgcKBgd8AAEABAMBcAUBBAMABG4ACgoIXwAICBxLAAcHAF8AAAAgSwADAwJgAAICGQJMG0uwD1BYQD0ACQoGCgkGfgAGBwoGB3wAAQAEAAEEfgUBBAMABG4ACgoIXwAICBxLAAcHAF8AAAAgSwADAwJgAAICGQJMG0uwHVBYQD4ACQoGCgkGfgAGBwoGB3wAAQAEAAEEfgUBBAMABAN8AAoKCF8ACAgcSwAHBwBfAAAAIEsAAwMCYAACAhkCTBtARAAJCgYKCQZ+AAYHCgYHfAABAAQAAQR+AAQFAAQFfAAFAwAFA3wACgoIXwAICBxLAAcHAF8AAAAgSwADAwJgAAICGQJMWVlZWUAQSkhFQywiKiEkJyQiEgsHHSskBgYHBzYzMhYVFAYjIicmNTQ2FxYzMjY1NCYjIgYjIiY3NyYmJyY1NDYzMhcWMzI2NTQmJy4CNTQ2NjMyFhcWFRQGIyInJiYjIgYVFBYXHgIVAkY9b0kFDgsfK0A7Jx4SEQ4eGhocDw4KIgQIDQEIQXAjExQODhRZclBWUFhUbD1DeE1HeCoUFQ4NFC5ROU1WTFRYbUGLWjUDJQMkISUvCwcSDBAECBAQDA0ICwlDBSkfEBkSGQ1CPDgsLBQSLk89PV81KCcRGBEaDSMfPzgwMRQUK0s7AP//ACr/+AJGA5oAIgCsAAAAAwLXAdEAAP//ACr++wJGAskAIgCsAAAAAwLMAdEAAP//ACr/+AJGA4QAIgCsAAAAAwLTAdEAAP//ACr/QAJGAskAIgCsAAAAAwLKAdEAAP//ACr/QAJGA4QAIgCsAAAAIwLKAdEAAAADAtMB0QAAAAEAUv/6AoICyAA7AJu1OwEDBAFKS7ALUFhAJgABAwIDAQJ+AAQAAwEEA2UABQUHXwAHBxxLAAICAF8GAQAAIABMG0uwDVBYQCYAAQMCAwECfgAEAAMBBANlAAUFB18ABwccSwACAgBfBgEAAB0ATBtAJgABAwIDAQJ+AAQAAwEEA2UABQUHXwAHBxxLAAICAF8GAQAAIABMWVlACyUlJDQ0IyYlCAccKwAWFRQGBiMiJyYmNTQ2MzIXFhYzMjY1NCYjIyImNTQ2MzMyNjU0JiMiBhURFAYjIiY1ETQ2MzIWFRQGBwI1TThjQF86Eg8SDg0YHTQdO0NNUFUVFxcVOkFHSkFWVRwXFxyNhmyANC4BYVpEO1syKg0WDhEXDxISQTo7OhkSERk7NzU8WFn+bBgcHBgBln+FaFg1UBMAAAIAOv/4ArMCyQAgACcAP0A8AAMCAQIDAX4AAQAFBgEFZQACAgRfBwEEBBxLCAEGBgBfAAAAHQBMISEAACEnISYkIwAgAB8kIiUmCQcYKwAWFhUUBgYjIiYmNTQ2MyEmJiMiBgcGBiMiJjU0NzY2MxI2NyEWFjMByJlSTY9fYZBNGhgB3gp7aTNWNAsOCQ4TEyx9SHdtB/5YB29fAslXom9spFlVoW0ZG3B1HSQHBhkSGQ8nKf2De3RzfAAAAQAC//sCWgLBABQAWUuwC1BYQBICAQAAAV0AAQEUSwQBAwMgA0wbS7ANUFhAEgIBAAABXQABARRLBAEDAx0DTBtAEgIBAAABXQABARRLBAEDAyADTFlZQAwAAAAUABMjMyMFBxcrBCY1ESMiNTQ2MyEyFhUUIyMRFAYjARcdyDAZFwH4FxkwyBwYBR0XAjwrFRYWFSv9xBcdAAEAAv/7AloCwQAmAHtLsAtQWEAcBQEBBAECAwECZQYBAAAHXQgBBwcUSwADAyADTBtLsA1QWEAcBQEBBAECAwECZQYBAAAHXQgBBwcUSwADAx0DTBtAHAUBAQQBAgMBAmUGAQAAB10IAQcHFEsAAwMgA0xZWUAQAAAAJgAkISQjIyQhIwkHGysAFhUUIyMVMzIWFRQGIyMRFAYjIiY1ESMiJjU0NjMzNSMiNTQ2MyECQRkwyGkVGBgVaRwYFx1nFhkZFmfIMBkXAfgCwRYVK90WExMV/vIXHR0XAQ4VExMW3SsVFgD//wAC//sCWgOaACIAuQAAAAMC2AHEAAAAAQAC/z4CWgLBADEArUAKJwEBAAkBBAECSkuwDVBYQCYAAQAEAwFwBQEEAwAEA3wGAQAAB10IAQcHFEsAAwMCYAACAhkCTBtLsB1QWEAnAAEABAABBH4FAQQDAAQDfAYBAAAHXQgBBwcUSwADAwJgAAICGQJMG0AtAAEABAABBH4ABAUABAV8AAUDAAUDfAYBAAAHXQgBBwcUSwADAwJgAAICGQJMWVlAEAAAADEALyYhJCckJSMJBxsrABYVFCMjERQHBzYzMhYVFAYjIicmNTQ2FxYzMjY1NCYjIgYjIiY3NyY1ESMiNTQ2MyECQRkwyB4FDgsfK0A7Jx4SEQ4eGhocDw4KIgQIDQEKDMgwGRcB+ALBFhUr/cQjDSsDJCElLwsHEgwQBAgQEAwNCAsJVQ4VAjwrFRb//wAC/vsCWgLBACIAuQAAAAMCzAHEAAD//wAC/0ACWgLBACIAuQAAAAMCygHEAAD//wAC/1YCWgLBACIAuQAAAAMC0AHEAAAAAQBN//gCiwLGABsAIUAeAgEAABZLAAEBA18EAQMDHQNMAAAAGwAaJSUlBQcXKxYmNRE0NjMyFhURFBYzMjY1ETQ2MzIWFREUBiPfkhwXFxxdXFteHBcXHJOMCJKOAXoYHBwY/n9hZGRhAYEXHRwY/oaNk///AE3/+AKLA5sAIgDAAAAAAwLVAgIAAP//AE3/+AKLA4wAIgDAAAAAAwLZAgIAAP//AE3/+AKLA5oAIgDAAAAAAwLXAgIAAP//AE3/+AKLA5sAIgDAAAAAAwLeAgIAAP//AE3/+AKLA4EAIgDAAAAAAwLSAgIAAP//AE3/QAKLAsYAIgDAAAAAAwLKAgIAAP//AE3/+AKLA5sAIgDAAAAAAwLUAgIAAP//AE3/+AKLA5oAIgDAAAAAAwLdAgIAAAABAE3/+AL/A04AIgArQCgeAQEEAgECAQJKAAQBBIMDAQEBFksAAgIAXwAAAB0ATCMlJSUlBQcZKwAGBxEUBiMiJjURNDYzMhYVERQWMzI2NRE0NjM2Njc2MzIVAv8/NZOMjZIcFxccXVxbXhsVKCMDBC0rAuJPB/6MjZOSjgF6GBwcGP5/YWRkYQGBFx0BJC80NQD//wBN//gC/wObACIAyQAAAAMC1QICAAD//wBN/0AC/wNOACIAyQAAAAMCygICAAD//wBN//gC/wObACIAyQAAAAMC1AICAAD//wBN//gC/wOaACIAyQAAAAMC3QICAAD//wBN//gC/wOCACIAyQAAAAMC2wICAAD//wBN//gCiwObACIAwAAAAAMC1gICAAD//wBN//gCiwOMACIAwAAAAAMC3wICAAD//wBN//gCiwNtACIAwAAAAAMC3AICAAD//wBN//gCiwQhACIAwAAAACMC3AICAAABBwLSAgIAoAAIsQICsKCwMysAAQBN/z4CiwLGADAAXkuwE1BYQB0HBgIEBBZLAAUFA18AAwMdSwEBAAACXwACAhkCTBtAJAABAwADAQB+BwYCBAQWSwAFBQNfAAMDHUsAAAACXwACAhkCTFlADwAAADAALyUlFCUTKggHGisAFhURFAYHBhUUFjMyNzYzMhYVFAcGIyImNTQ3JiY1ETQ2MzIWFREUFjMyNjURNDYzAm8cWVZNIRwVGwQHCgwQJSk1QyOMkRwXFxxdXFteHBcCxhwY/oZuihkYORwgCwIPCxIJFDsvMCABko0BehgcHBj+f2FkZGEBgRcd//8ATf/4AosDwwAiAMAAAAADAtoCAgAA//8ATf/4AosDggAiAMAAAAADAtsCAgAA//8ATf/4AosEOwAiAMAAAAAjAtsCAgAAAQcC1QICAKAACLECAbCgsDMrAAEACv/6ArQCxwAXADO2FgQCAQABSkuwC1BYQAwCAQAAHEsAAQEdAUwbQAwCAQAAFksAAQEgAUxZtScnIAMHFysAMzIWFRQHAQYGIyImJwEmNTQ2MzIXExMCYh4UIAX+5gceEREfB/7nBSEUHw319QLHGxMHDP2WEBISEAJqDAcUGhz92wIlAAABACT/+QQtAscAKQA6tyggDwMBAAFKS7ALUFhADgQDAgAAHEsCAQEBIAFMG0AOBAMCAAAWSwIBAQEgAUxZtyYnJichBQcZKwA2MzIWFRQHAwYGIyImJwMDBgYjIiYnAyY1NDYzMhYXExM2NjMyFhcTEwPWGA8THQTdBx4SER4GtroGHhESHQfdBB4VDxkGubwGGxAQGge4vAK3EBkUCwn9lhESEhECBP38ERISEQJqCQsUGRAQ/ewCDxESExH97QIZ//8AJP/5BC0DmwAiANgAAAADAtUCvgAA//8AJP/5BC0DmgAiANgAAAADAtcCvgAA//8AJP/5BC0DgQAiANgAAAADAtICvgAA//8AJP/5BC0DmwAiANgAAAADAtQCvgAAAAEAGf/7AnUCxgAjAE9ACSIZEAcEAAIBSkuwC1BYQA0DAQICFksBAQAAIABMG0uwDVBYQA0DAQICFksBAQAAHQBMG0ANAwECAhZLAQEAACAATFlZtiQqJCMEBxgrJBUUBiMiJwMDBiMiJjU0NxMDJjU0NjMyFxMTNjMyFhUUBwMTAnUeExUP2doPFBMeDObbDB0TFQ/Pzw4WEx4N2+U8ERMdEgER/u8SHRMQDwEdARANEhMdEv77AQUSHRMRDv7w/uMAAQAG//sCXQLGABkASbcYDwcDAQABSkuwC1BYQAwCAQAAFksAAQEgAUwbS7ANUFhADAIBAAAWSwABAR0BTBtADAIBAAAWSwABASABTFlZtSgoIAMHFysAMzIWFRQHAxEUBiMiJjURAyY1NDYzMhcTEwIZFRIdDOwdFxcc7AwcExQP2tkCxh0TEg3+2v7eGRsbGQEiASYNExMcEv7uARIA//8ABv/7Al0DmwAiAN4AAAADAtUBxwAA//8ABv/7Al0DmgAiAN4AAAADAtcBxwAA//8ABv/7Al0DgQAiAN4AAAADAtIBxwAA//8ABv/7Al0DhAAiAN4AAAADAtMBxwAA//8ABv9AAl0CxgAiAN4AAAADAsoBxwAA//8ABv/7Al0DmwAiAN4AAAADAtQBxwAA//8ABv/7Al0DmgAiAN4AAAADAt0BxwAA//8ABv/7Al0DbQAiAN4AAAADAtwBxwAA//8ABv/7Al0DggAiAN4AAAADAtsBxwAAAAEAJQAAAjkCwQAXACVAIgABAQJdAAICFEsEAQMDAF0AAAAVAEwAAAAXABYyJTIFBxcrJBUUIyEiJjU0NwEhIjU0MyEyFhUUBwEhAjkw/koVGQ0Bff6nMDABqRYZDf6CAWZUKioYExQTAhsqKhkTFBH95AD//wAlAAACOQObACIA6AAAAAMC1QHAAAD//wAlAAACOQOaACIA6AAAAAMC2AHAAAD//wAlAAACOQOEACIA6AAAAAMC0wHAAAD//wAl/0ACOQLBACIA6AAAAAMCygHCAAD//wBS//sCeAObACIAVAAAACMC1QEbAAAAIwBjAQsAAAADAtUCcAAAAAIANf/5AdMB9AAoADQArLUKAQcGAUpLsAtQWEAoAAQDAgMEAn4AAgAGBwIGZwADAwVfCAEFBR9LCQEHBwBfAQEAACAATBtLsA1QWEAoAAQDAgMEAn4AAgAGBwIGZwADAwVfCAEFBR9LCQEHBwBfAQEAAB0ATBtAKAAEAwIDBAJ+AAIABgcCBmcAAwMFXwgBBQUfSwkBBwcAXwEBAAAgAExZWUAWKSkAACk0KTMuLAAoACcjIyYlJQoHGSsAFhURFAYjIiY1NQYGIyImJjU0NjYzMzU0JiMiBgcGIyImNTQ2NzY2MxI2NTUjIgYGFRQWMwF0XxoXFhoTSzIwUC03f28XLjMjPiUbCw8TERMjXiwYRhJOVCQ0JwH0YmT+/RcZGhYlKi0nRis1PRodODISEQ8WEQ8XCxMX/lBLOxoOIR8kLv//ADX/+QHTAvgAIgDuAAAAAwK8AakAAP//ADX/+QHTAtsAIgDuAAAAAwLBAakAAP//ADX/+QHTAyIAIgDuAAAAAwL5AakAAP//ADX/QAHTAtsAIgDuAAAAIwLKAaYAAAADAsEBqQAA//8ANf/5AdMDIgAiAO4AAAADAvoBqQAA//8ANf/5AdMDIwAiAO4AAAADAvsBqQAA//8ANf/5AdMDIgAiAO4AAAADAvwBqQAA//8ANf/5AdMC9wAiAO4AAAADAsABqQAA//8ANf/5AdMC9wAiAO4AAAADAr8BqQAA//8ANf/5AgoDJAAiAO4AAAADAv0BqQAA//8ANf9AAdMC9wAiAO4AAAAjAsoBpgAAAAMCvwGpAAD//wA1//kB0wMmACIA7gAAAAMC/gGpAAD//wA1//kB9AMjACIA7gAAAAMC/wGpAAD//wA1//kB0wMsACIA7gAAAAMDAAGpAAD//wA1//kB0wL5ACIA7gAAAAMCxgGpAAD//wA1//kB0wLEACIA7gAAAAMCuQGpAAD//wA1//kB0wLHACIA7gAAAAMCugGpAAD//wA1/0AB0wH0ACIA7gAAAAMCygGmAAD//wA1//kB0wL3ACIA7gAAAAMCuwGpAAD//wA1//kB0wL2ACIA7gAAAAMCxQGpAAD//wA1//kB0wLdACIA7gAAAAMCxwGpAAD//wA1//kB0wKwACIA7gAAAAMCxAGpAAAAAgA1/z4CAgH0AD4ASgCQtREBCQgBSkuwE1BYQDEABQQDBAUDfgADAAgJAwhnAAQEBl8ABgYfSwoBCQkCXwACAiBLBwEAAAFfAAEBGQFMG0A4AAUEAwQFA34AAAIHAgAHfgADAAgJAwhnAAQEBl8ABgYfSwoBCQkCXwACAiBLAAcHAV8AAQEZAUxZQBI/Pz9KP0klKickIyYqJRELBx0rBDMyFhUUBwYjIiY1NDY3JjU1BgYjIiYmNTQ2NjMzNTQmIyIGBwYGIyImNTQ2NzY2MzIWFREUBgcGFRQWMzI3JjY1NSMiBgYVFBYzAeUGCg0QJik1QycjAxNKMjFPLjh+bxcuMyM+JQwTBw8TERMjXixhXw8NQyEcDyG2RhJOVCQ0J3kQChIJFDwwIzkSCQolKi0nRis1PBsdODISEQYJFhEPFwsTF2Jk/v0QFwQVNRwgC79LOxoOIR8kLgD//wA1//kB0wL0ACIA7gAAAAMCwgGpAAAABAA1//kB8gNYABUAIQBKAFYBA0ALFAcCAwIsAQwLAkpLsAtQWEA+AAACAIMACQgHCAkHfgACAAMEAgNnDQEEAAEKBAFnAAcACwwHC2cACAgKXw4BCgofSw8BDAwFXwYBBQUgBUwbS7ANUFhAPgAAAgCDAAkIBwgJB34AAgADBAIDZw0BBAABCgQBZwAHAAsMBwtnAAgICl8OAQoKH0sPAQwMBV8GAQUFHQVMG0A+AAACAIMACQgHCAkHfgACAAMEAgNnDQEEAAEKBAFnAAcACwwHC2cACAgKXw4BCgofSw8BDAwFXwYBBQUgBUxZWUAlS0siIhYWS1ZLVVBOIkoiSUJAPTs4NjAuKScWIRYgJyQpIBAHGCsAMzIWFRQHBxYVFAYjIiY1NDYzMhc3BjY1NCYjIgYVFBYzFhYVERQGIyImNTUGBiMiJiY1NDY2MzM1NCYjIgYHBiMiJjU0Njc2NjMSNjU1IyIGBhUUFjMBsRUSGhtqDj0rKzw8Kx4XWHkbGxQUGxsUYV8aFxYaE0syMFAtN39vFy4zIz4lGwsPExETI14sGEYSTlQkNCcDWBsRGBBDFxwqOzorKzsOYOkdFBQdHRQUHWliZP79FxkaFiUqLSdGKzU9Gh04MhIRDxYRDxcLExf+UEs7Gg4hHyQu//8ANf/5AdMC0AAiAO4AAAADAsMBqQAAAAMANf/5AygB9AA6AEEATQDFS7AnUFhACigBAwUKAQgJAkobQAooAQMLCgEICQJKWUuwJ1BYQDYABAMCAwQCfg4BCQcIBwkIfgoBAgwBBwkCB2cPCwIDAwVfBgEFBR9LEA0CCAgAXwEBAAAgAEwbQEAABAMCAwQCfg4BCQcIBwkIfgoBAgwBBwkCB2cPAQsLBV8GAQUFH0sAAwMFXwYBBQUfSxANAggIAF8BAQAAIABMWUAiQkI7OwAAQk1CTEdFO0E7QD49ADoAOSEkIyUjIyYkJhEHHSskFhUUBwYGIyImJwYGIyImJjU0NjYzMzU0JiMiBgcGIyImNTQ3NjMyFzY2MzIWFhUUIyEWMzI2NzY2MwIGBzMmJiMANjU1IyIGBhUUFjMDEhIkIVImSGccFFtANFQwOH9vGC40LT0gGgsOEiRLYXgqHlY0PVwzJP7RC4gjNR0LFQfjRQf7Aj03/tNGE05VJDYqexYRHhMUFjs4NzwnRSw1PRobOTMUEA4WERwVKk8mKTppRiibExAHCQEvSkNESf6aTTsYDiEfJS3//wA1//kDKAL4ACIBCQAAAAMCvAI6AAAAAgBG//kCJQLGABwAKAA7QDgZCgIFBAFKAAICFksABAQDXwYBAwMfSwcBBQUAXwEBAAAgAEwdHQAAHSgdJyMhABwAGyUlJggHFysAFhYVFAYGIyImJxUUBiMiJjURNDYzMhYVETY2MxI2NTQmIyIGFRQWMwGMYjc3Yz83VBYbFxccHRcWGxZUNylJSEJCR0dCAfQ+ckxLdEAvLCgWGxsWAmoWGhkV/wAsMP5VXFNSWVpTU1oAAQAq//kBzwH0ACoANkAzAAECBAIBBH4ABAMCBAN8AAICAF8AAAAfSwADAwVfBgEFBSAFTAAAACoAKSQkJCYmBwcZKxYmJjU0NjYzMhYXFhUUBiMiJicmJiMiBhUUFjMyNjc2NjMyFhUUBgcGBiPQazs9bkcmTR4gEg4JEg4ZKx5ES0pEHi4YCxYJDhIPEh5QKQc+cktMdEAWExYdERcJCRARXFJSWRIPBwoXEQ4XDBQW//8AKv/5AdAC+AAiAQwAAAADArwBsgAA//8AKv/5Ac8C9wAiAQwAAAADAsABsgAAAAEAKv8+Ac8B9ABIAYC1CQEEAQFKS7ALUFhAPQAHCAoIBwp+CwEKCQgKCXwAAQAEAwFwBQEEAwAEbgAICAZfAAYGH0sACQkAXwAAACBLAAMDAmAAAgIZAkwbS7ANUFhAPQAHCAoIBwp+CwEKCQgKCXwAAQAEAwFwBQEEAwAEbgAICAZfAAYGH0sACQkAXwAAAB1LAAMDAmAAAgIZAkwbS7APUFhAPgAHCAoIBwp+CwEKCQgKCXwAAQAEAAEEfgUBBAMABG4ACAgGXwAGBh9LAAkJAF8AAAAgSwADAwJgAAICGQJMG0uwHVBYQD8ABwgKCAcKfgsBCgkICgl8AAEABAABBH4FAQQDAAQDfAAICAZfAAYGH0sACQkAXwAAACBLAAMDAmAAAgIZAkwbQEUABwgKCAcKfgsBCgkICgl8AAEABAABBH4ABAUABAV8AAUDAAUDfAAICAZfAAYGH0sACQkAXwAAACBLAAMDAmAAAgIZAkxZWVlZQBQAAABIAEdDQSQmKSEkJyQiFwwHHSskFhUUBgcGBgcHNjMyFhUUBiMiJyY1NDYXFjMyNjU0JiMiBiMiJjc3JiY1NDY2MzIWFxYVFAYjIiYnJiYjIgYVFBYzMjY3NjYzAb0SDxIaRCMFDgsfK0A7Jx4SEQ4eGhocDw4KIgQIDQEIWmk9bkcmTR4gEg4JEg4ZKx5ES0pEHi4YCxYJfBcRDhcMERYCJgMkISUvCwcSDBAECBAQDA0ICwlFDoRmTHRAFhMWHREXCQkQEVxSUlkSDwcKAAACACr/PgHQAvgADwBYAbG1GQEGAwFKS7ALUFhARgAAAQgBAAh+DQEMCQsJDAt+AAMCBgUDcAcBBgUCBm4AAQAJDAEJZwAKCghfAAgIH0sACwsCXwACAiBLAAUFBGAABAQZBEwbS7ANUFhARgAAAQgBAAh+DQEMCQsJDAt+AAMCBgUDcAcBBgUCBm4AAQAJDAEJZwAKCghfAAgIH0sACwsCXwACAh1LAAUFBGAABAQZBEwbS7APUFhARwAAAQgBAAh+DQEMCQsJDAt+AAMCBgIDBn4HAQYFAgZuAAEACQwBCWcACgoIXwAICB9LAAsLAl8AAgIgSwAFBQRgAAQEGQRMG0uwHVBYQEgAAAEIAQAIfg0BDAkLCQwLfgADAgYCAwZ+BwEGBQIGBXwAAQAJDAEJZwAKCghfAAgIH0sACwsCXwACAiBLAAUFBGAABAQZBEwbQE4AAAEIAQAIfg0BDAkLCQwLfgADAgYCAwZ+AAYHAgYHfAAHBQIHBXwAAQAJDAEJZwAKCghfAAgIH0sACwsCXwACAiBLAAUFBGAABAQZBExZWVlZQBgQEBBYEFdTUU1LR0UpISQnJCIdJiAOBx0rACMiJjU0Nzc2MzIWFRQHBxIWFRQGBwYGBwc2MzIWFRQGIyInJjU0NhcWMzI2NTQmIyIGIyImNzcmJjU0NjYzMhYXFhUUBiMiJicmJiMiBhUUFjMyNjc2NjMBKQsLEQdsFBoTGhiHjBIPEhpEIwUOCx8rQDsnHhIRDh4aGhwPDgoiBAgNAQhaaT1uRyZNHiASDgkSDhkrHkRLSkQeLhgLFgkCIxALCgiNGxoSFxR3/lIXEQ4XDBEWAiYDJCElLwsHEgwQBAgQEAwNCAsJRQ6EZkx0QBYTFh0RFwkJEBFcUlJZEg8HCv//ACr/+QHPAvcAIgEMAAAAAwK/AbIAAP//ACr/+QHPAscAIgEMAAAAAwK6AbIAAAACACr/+QIIAsYAHAAoAIq2GAoCBQQBSkuwC1BYQB0GAQMDFksABAQCXwACAh9LBwEFBQBfAQEAACAATBtLsA1QWEAdBgEDAxZLAAQEAl8AAgIfSwcBBQUAXwEBAAAdAEwbQB0GAQMDFksABAQCXwACAh9LBwEFBQBfAQEAACAATFlZQBQdHQAAHSgdJyMhABwAGyYlJQgHFysAFhURFAYjIiY1NQYGIyImJjU0NjYzMhYXNTQ2MwI2NTQmIyIGFRQWMwHsHBsXFxsWVDc/Yzc3YkA3UxYbF3lIR0JCSUpBAsYaFv2WFxoaFygsL0B0S0xyPi8r/hUZ/YNaU1NaWVJSXQACACr/+QIPAsYAMQA9AEVAQjEnGxEEAgQPAQUBAkoABAMCAwQCfgABAAUGAQVnAAICA18AAwMWSwcBBgYAXwAAACAATDIyMj0yPCslLSUmJAgHGisAFhUUBiMiJiY1NDY2MzIXJicHBiMiJjU0Njc3JicmJjU0NjMyFxYXNzYzMhYVFAYHBwI2NTQmIyIGFRQWMwHWOYF3Rmw7OmlDXjQYQIIIBA0RDAxdKysQDxgUDwtSP2sKAw0QDAxOSUlIQkJIR0MCAJFTjZY5aUVEaTo5TkAsAhMMCg8EHx0SBhYMEBYFIDgkAhEMChAEGv4PUEhIT09JSU4AAAMAKv/5AmwCxwANACoANgCetiYYAgcGAUpLsAtQWEAjAAEBAF8IBQIAABxLAAYGBF8ABAQfSwkBBwcCXwMBAgIgAkwbS7ANUFhAIwABAQBfCAUCAAAWSwAGBgRfAAQEH0sJAQcHAl8DAQICHQJMG0AjAAEBAF8IBQIAABZLAAYGBF8ABAQfSwkBBwcCXwMBAgIgAkxZWUAWKysODis2KzUxLw4qDikmJSklIQoHGSsANjMyFgcHBgYjIiY1NSYWFREUBiMiJjU1BgYjIiYmNTQ2NjMyFhc1NDYzAjY1NCYjIgYVFBYzAicUDg8UAxYBDQcJDjscGxcXGxZUNz9jNzdiQDdTFhsXeUhHQkJJSkECsxQXE5EKCw4LkSUaFv2WFxoaFygsL0B0S0xyPi8r/hUZ/YNaU1NaWVJSXQACACr/+QJsAsYALgA6AKy2HA4CCQgBSkuwC1BYQCcKBwIFBAEAAwUAZwAGBhZLAAgIA18AAwMfSwsBCQkBXwIBAQEgAUwbS7ANUFhAJwoHAgUEAQADBQBnAAYGFksACAgDXwADAx9LCwEJCQFfAgEBAR0BTBtAJwoHAgUEAQADBQBnAAYGFksACAgDXwADAx9LCwEJCQFfAgEBASABTFlZQBgvLwAALzovOTUzAC4ALSMkIyYlIyQMBxsrABYVFAYjIxEUBiMiJjU1BgYjIiYmNTQ2NjMyFhc1IyImNTQ2MzM1NDYzMhYVFTMCNjU0JiMiBhUUFjMCVhYWFDobFxcbFlQ3P2M3N2JAN1MWnRUWFhWdGxcXHDrmSEdCQklKQQJuFBERFP4IFxoaFygsL0B0S0xyPi8rihQRERQqFRkaFij921pTU1pZUlJd//8AKv9AAggCxgAiARMAAAADAsoBvwAA//8AKv9WAggCxgAiARMAAAADAtABvwAA//8AKv/5BCsC9wAiARMAAAAjAdUCTwAAAAMCwAPnAAAAAgAq//kB6AH0ABwAIwA/QDwHAQQCAwIEA34ABQACBAUCZQgBBgYBXwABAR9LAAMDAF8AAAAgAEwdHQAAHSMdIiAfABwAGyEjJSYJBxgrJBYVFAcGBiMiJjU0NjYzMhYVFCMhFjMyNjc2NjMCBgchJiYjAdISJCNTJnSGO2tEYnIk/ssKiyU2HgMbCehGBwECAz85exYRHRQUFod1S3RAfmsomxQQAg0BL0pDREn//wAq//kB6AL4ACIBGgAAAAMCvAGqAAD//wAq//kB6ALbACIBGgAAAAMCwQGqAAD//wAq//kB6AL3ACIBGgAAAAMCwAGqAAAAAwAq/z4B6ALbABcAUwBaAktAChIBAQAgAQgFAkpLsAtQWEBOEQENCwwLDQx+AAUECAcFcAkBCAcECG4AARABAwoBA2cADgALDQ4LZgIBAAAcSxIBDw8KXwAKCh9LAAwMBF8ABAQgSwAHBwZgAAYGGQZMG0uwDVBYQE4RAQ0LDAsNDH4ABQQIBwVwCQEIBwQIbgABEAEDCgEDZwAOAAsNDgtmAgEAABxLEgEPDwpfAAoKH0sADAwEXwAEBB1LAAcHBmAABgYZBkwbS7APUFhATxEBDQsMCw0MfgAFBAgEBQh+CQEIBwQIbgABEAEDCgEDZwAOAAsNDgtmAgEAABxLEgEPDwpfAAoKH0sADAwEXwAEBCBLAAcHBmAABgYZBkwbS7AbUFhAUBEBDQsMCw0MfgAFBAgEBQh+CQEIBwQIB3wAARABAwoBA2cADgALDQ4LZgIBAAAcSxIBDw8KXwAKCh9LAAwMBF8ABAQgSwAHBwZgAAYGGQZMG0uwHVBYQFACAQABAIMRAQ0LDAsNDH4ABQQIBAUIfgkBCAcECAd8AAEQAQMKAQNnAA4ACw0OC2YSAQ8PCl8ACgofSwAMDARfAAQEIEsABwcGYAAGBhkGTBtAVgIBAAEAgxEBDQsMCw0MfgAFBAgEBQh+AAgJBAgJfAAJBwQJB3wAARABAwoBA2cADgALDQ4LZhIBDw8KXwAKCh9LAAwMBF8ABAQgSwAHBwZgAAYGGQZMWVlZWVlALFRUGBgAAFRaVFlXVhhTGFJOTEtJRkQ7OTg2MjApJyMhHx4AFwAWIiImEwcXKxImJyY1NDYzMhcWMzI3NjMyFhUUBwYGIxIWFRQHBgYHBzYzMhYVFAYjIicmNTQ2FxYzMjY1NCYjIgYjIiY3NyYmNTQ2NjMyFhUUIyEWMzI2NzY2MwIGByEmJiPeVxMDFA0VCyBCQiALFg0TAxNXNr4SJB5GIgUOCx8rQDsnHhIRDh4aGhwPDgoiBAgNAQhhbztrRGJyJP7LCoslNh4DGwnoRgcBAgM/OQJCODAJBw4TFT09FRIPBwkwOP45FhEdFBIVAiYDJCElLwsHEgwQBAgQEAwNCAsJRAyEakt0QH5rKJsUEAINAS9KQ0RJAP//ACr/+QHoAvcAIgEaAAAAAwK/AaoAAP//ACr/+QILAyQAIgEaAAAAAwL9AaoAAP//ACr/QAHoAvcAIgEaAAAAIwLKAboAAAADAr8BqgAA//8AKv/5AegDJgAiARoAAAADAv4BqgAA//8AKv/5AfUDIwAiARoAAAADAv8BqgAA//8AKv/5AegDLAAiARoAAAADAwABqgAA//8AKv/5AegC+QAiARoAAAADAsYBqgAA//8AKv/5AegCxAAiARoAAAADArkBqgAA//8AKv/5AegCxwAiARoAAAADAroBqgAA//8AKv9AAegB9AAiARoAAAADAsoBugAA//8AKv/5AegC9wAiARoAAAADArsBqgAA//8AKv/5AegC9gAiARoAAAADAsUBqgAA//8AKv/5AegC3QAiARoAAAADAscBqgAA//8AKv/5AegCsAAiARoAAAADAsQBqgAA//8AKv/5AegDuQAiARoAAAAjAsQBqgAAAQcCvAGqAMEACLEDAbDBsDMr//8AKv/5AegDuAAiARoAAAAjAsQBqgAAAQcCuwGqAMEACLEDAbDBsDMrAAIAKv8+AegB9AAxADgAiUuwE1BYQDEABwUGBQcGfgAIAAUHCAVlCgEJCQRfAAQEH0sABgYDXwADAyBLAQEAAAJfAAICGQJMG0A4AAcFBgUHBn4AAQMAAwEAfgAIAAUHCAVlCgEJCQRfAAQEH0sABgYDXwADAyBLAAAAAl8AAgIZAkxZQBIyMjI4MjcYJCEjJSQlEyQLBx0rJAYVFBYzMjc2MzIWFRQHBiMiJjU0NyMiJjU0NjYzMhYVFCMhFjMyNjc2NjMyFhUUBgcCBgchJiYjAYIrIRsWGgQHCgwQIiw1QyILdIc7a0RiciT+ywqLJTYeAxsJDhITFt9GBwECAz85Ai8dHCALAg8KEwkUPC4wIYd1S3RAfmsomxQQAg0WERAYCwGJSkNESf//ACr/+QHoAtAAIgEaAAAAAwLDAaoAAAACACn/+QHnAfQAHgAlAD9APAADAgECAwF+AAEABQYBBWUAAgIEXwcBBAQfSwgBBgYAXwAAACAATB8fAAAfJR8kIiEAHgAdJCEkJgkHGCsAFhYVFAYGIyImNTQ2MyEmIyIGBwYGIyImNTQ3NjYzEjY3IRYWMwE8bzw6aENldBETATcMiSQ2HQMbCQ4SJCRSJ0dEB/7/Az86AfQ9c01Lc0B7bRUUmhMQAg0WER0UFBb+T0hERUcAAAH//f/7AXACxAAmAI5LsAtQWEAYBgEFBRRLAwEBAQBfBAEAABdLAAICIAJMG0uwDVBYQBgGAQUFFEsDAQEBAF8EAQAAF0sAAgIdAkwbS7AnUFhAGAYBBQUUSwMBAQEAXwQBAAAXSwACAiACTBtAHAAGBhRLAAUFFEsDAQEBAF8EAQAAF0sAAgIgAkxZWVlAChETJCMjJCMHBxsrEgYVFTMyFhUUBiMjERQGIyImNREjIiY1NDYzMzU0Njc3NhYVFAcH+jBjFRcXFWMdFhYcPBUXFxU8XlYaIB0qGgJwNzUcFRISFf6SGBkZGAFuFRISFQ1caQYCAhIUIwUCAAIAKv9FAgwB9AAnADMAfrYjFQIHBgFKS7AhUFhAKgABAwIDAQJ+AAYGBF8IBQIEBB9LCQEHBwNfAAMDFUsAAgIAXwAAABkATBtAKAABAwIDAQJ+CQEHAAMBBwNnAAYGBF8IBQIEBB9LAAICAF8AAAAZAExZQBYoKAAAKDMoMi4sACcAJiYkIyUlCgcZKwAWFREUBiMiJyY1NDYzMhcWFjMyNTUGBiMiJiY1NDY2MzIWFzU0NjMCNjU0JiMiBhUUFjMB8Rt3dGxIJRMODRwkPiuKFVY5QGQ3OGNAOFUWGxd8SklCQktMQQHyGxb+ZnByKRUdERYPEROLTSwxPG5ISG49MCwqFhr+bVZMS1dWTExWAP//ACr/RQIMAtsAIgEzAAAAAwLBAcEAAP//ACr/RQIMAvcAIgEzAAAAAwLAAcEAAP//ACr/RQIMAvcAIgEzAAAAAwK/AcEAAP//ACr/RQIMAwQAIgEzAAAAAwLIAcEAAP//ACr/RQIMAscAIgEzAAAAAwK6AcEAAP//ACr/RQIMArAAIgEzAAAAAwLEAcEAAAABAEb/+wH8AsYAIQBwtR4BAAEBSkuwC1BYQBcAAwMWSwABAQRfBQEEBB9LAgEAACAATBtLsA1QWEAXAAMDFksAAQEEXwUBBAQfSwIBAAAdAEwbQBcAAwMWSwABAQRfBQEEBB9LAgEAACAATFlZQA0AAAAhACAlJSUkBgcYKwAVERQGIyImNRE0JiMiBhUVFAYjIiY1ETQ2MzIWFRU2NjMB/BwXFxsxND1KGxcXHB0XFhsZVDYB9MX+/BYaGhYBAzw4TEDrFhoaFgJrFhoZFfoqLAAB/+L/+wH8AsYAMwCStTABAAEBSkuwC1BYQCEGAQQHAQMIBANnAAUFFksAAQEIXwkBCAgfSwIBAAAgAEwbS7ANUFhAIQYBBAcBAwgEA2cABQUWSwABAQhfCQEICB9LAgEAAB0ATBtAIQYBBAcBAwgEA2cABQUWSwABAQhfCQEICB9LAgEAACAATFlZQBEAAAAzADIkIyMkIyUlJAoHHCsAFREUBiMiJjURNCYjIgYVFRQGIyImNREjIiY1NDYzMzU0NjMyFhUVMzIWFRQGIyMVNjYzAfwcFxcbMTQ9ShsXFxw5FRYWFTkdFxYbnhQWFhSeGVQ2AfTF/vwWGhoWAQM8OExA6xYaGhYB+RQRERQoFhoZFSoUEREUhios//8ARv8oAfwCxgAiAToAAAADAs8BtwAA////7v/7AfwDmgAiAToAAAADAtcBEAAA//8ARv9AAfwCxgAiAToAAAADAsoBtwAA//8AOv/7ALgCxwAiAUAAAAADAroBDwAAAAEARv/7AKsB8gANAEVLsAtQWEAMAAAAH0sCAQEBIAFMG0uwDVBYQAwAAAAfSwIBAQEdAUwbQAwAAAAfSwIBAQEgAUxZWUAKAAAADQAMJQMHFSsWJjURNDYzMhYVERQGI2MdHRYWHBwWBRgYAZYYGRkY/moYGP//AEb/+wEtAvgAIgFAAAAAAwK8AQ8AAP///9b/+wEcAtsAIgFAAAAAAwLBAQ8AAP///+v/+wEHAvcAIgFAAAAAAwK/AQ8AAP///9f/+wDPAvkAIgFAAAAAAwLGAQ8AAP///+j/+wEKAsQAIgFAAAAAAwK5AQ8AAP///+j/+wEtA7kAIgFAAAAAIwK5AQ8AAAEHArwBDwDBAAixAwGwwbAzK///ADr/+wC4AscAIgFAAAAAAwK6AQ8AAP//ADr/QAC4AscAIgFAAAAAIwK6AQ8AAAADAsoBDgAA////xf/7AKsC9wAiAUAAAAADArsBDwAA//8AJv/7AOYC9gAiAUAAAAADAsUBDwAA////1v/7ARwC3QAiAUAAAAADAscBDwAA////2P/7ARoCsAAiAUAAAAADAsQBDwAAAAIABP8+ANoCxwALAC4Ai7UaAQIEAUpLsAtQWEAcBgEBAQBfAAAAHEsABAQfSwUBAgIDYAADAxkDTBtLsBNQWEAcBgEBAQBfAAAAFksABAQfSwUBAgIDYAADAxkDTBtAIwACBAUEAgV+BgEBAQBfAAAAFksABAQfSwAFBQNgAAMDGQNMWVlAEgAALSshHxUTDg0ACwAKJAcHFSsSJjU0NjMyFhUUBiMSMzIWFRQHBiMiJjU0NjcmNRE0NjMyFhURFAcGBhUUFjMyN1wiIh0cIyIdRAcKDBAiLDVDJCMFHRYWHBsfJCIaFhoCVCAaGh8fGhog/TMPChMJFDwwITkSCgwBlRgZGRj+ayEKCSYcHCALAP///9f/+wEbAtAAIgFAAAAAAwLDAQ8AAP///7L/SgC4AscAIgFQAAAAAwK6AQ8AAAAB/7L/SACrAfIAFQAiQB8AAAECAQACfgABAR9LAwECAhkCTAAAABUAFSUWBAcWKwYmNTQ2Nzc2NjURNDYzMhYVERQGBwcuIBQWHCcnHRYWHE5SG7gUFRATAgICLDAByxgZGRj+O1RWBgL///+y/0oBBwL3ACIBUAAAAAMCvwEPAAAAAQBG//sB8gLGACAAWbcfFgcDAAMBSkuwC1BYQBEAAgIWSwADAx9LAQEAACAATBtLsA1QWEARAAICFksAAwMfSwEBAAAdAEwbQBEAAgIWSwADAx9LAQEAACAATFlZtiUlJSMEBxgrJBUUBiMiJycVFAYjIiY1ETQ2MzIWFRE3NjMyFhUUBwcXAfIaEhMP+RwWFh0dFhYc5BEQExwRssRAFhMcDty5GBkZGAJpGBkZGP541Q8cExMQo63//wBG/vsB8gLGACIBUgAAAAMCzAGYAAAAAQBG//sB8gHyACAATbcfFgcDAAIBSkuwC1BYQA0DAQICH0sBAQAAIABMG0uwDVBYQA0DAQICH0sBAQAAHQBMG0ANAwECAh9LAQEAACAATFlZtiUlJSMEBxgrJBUUBiMiJycVFAYjIiY1ETQ2MzIWFRU3NjMyFhUUBwcXAfIaEhMP+RwWFh0dFhYc5BEQExwRssRAFhMcDty5GBkZGAGVGBkZGLTVDxwTExCjrQAAAQBG//sAqwLGAA0ARUuwC1BYQAwAAAAWSwIBAQEgAUwbS7ANUFhADAAAABZLAgEBAR0BTBtADAAAABZLAgEBASABTFlZQAoAAAANAAwlAwcVKxYmNRE0NjMyFhURFAYjYx0dFhYcHBYFGBgCahgZGRj9lhgY//8ARv/7ARcDmwAiAVUAAAADAtUBDwAAAAIARv/7ARECxwANABsAWUuwC1BYQBIAAAABXwIBAQEcSwQBAwMgA0wbS7ANUFhAEgAAAAFfAgEBARZLBAEDAx0DTBtAEgAAAAFfAgEBARZLBAEDAyADTFlZQAwODg4bDhopJSEFBxcrEgYjIiY1NTQ2MzIWBwcCJjURNDYzMhYVERQGI/cNCAkNFA4PFAMWlR0dFhYcHBYCAgsOC5ESFBcTkf3vGBgCahgZGRj9lhgYAP//AEH++wC5AsYAIgFVAAAAAwLMAQ8AAP//AEb/+wFKAsYAIgFVAAABBgJVdWIACLEBAbBisDMr//8AP/9AALMCxgAiAVUAAAADAsoBDwAA//8ARv9KAaoCxwAiAVUAAAAjAVAA8gAAAAMCugIBAAD////Y/1YBGgLGACIBVQAAAAMC0AEPAAAAAQAB//sBLgLGACEAdkAJIBgPBwQCAAFKS7ALUFhAGgAAAwIDAAJ+AAIBAwIBfAADAxZLAAEBIAFMG0uwDVBYQBoAAAMCAwACfgACAQMCAXwAAwMWSwABAR0BTBtAGgAAAwIDAAJ+AAIBAwIBfAADAxZLAAEBIAFMWVm2KCUoIAQHGCsSMzIWFRQHBxEUBiMiJjU1BwYjIiY1NDc3ETQ2MzIWFRU3+wwQFxhMHRYWHCUOCxEVF00cFhYdJAHMGBAXDiz+2BcZGBjuFQgXEBgOLQEfGBkZGOUVAAABAEb/+wMaAfQANQBxtjIsAgABAUpLsAtQWEAWAwEBAQVfCAcGAwUFH0sEAgIAACAATBtLsA1QWEAWAwEBAQVfCAcGAwUFH0sEAgIAAB0ATBtAFgMBAQEFXwgHBgMFBR9LBAICAAAgAExZWUAQAAAANQA0JSUlJSUlJAkHGysAFREUBiMiJjURNCYjIgYVFRQGIyImNRE0JiMiBhUVFAYjIiY1ETQ2MzIWFRU2NjMyFhc2NjMDGhwXFhwsLzdAHBcWHCwvN0EcFhYdHhUVGxZOMzhJEhZWNwH0xf78FxkZFwEDPTdLQesXGRkXAQM9N0tB6xcZGRcBlxYaGRYlKiwuMCsz//8ARv9AAxoB9AAiAV4AAAADAsoCRgAAAAEARv/7AfwB9AAhAGS1HgEAAQFKS7ALUFhAEwABAQNfBQQCAwMfSwIBAAAgAEwbS7ANUFhAEwABAQNfBQQCAwMfSwIBAAAdAEwbQBMAAQEDXwUEAgMDH0sCAQAAIABMWVlADQAAACEAICUlJSQGBxgrABURFAYjIiY1NTQmIyIGFRUUBiMiJjURNDYzMhYVFTY2MwH8GxgXGzE0PUobFxccHRYWGhhWNgH0xf78FxkaFv8+OkxA6xYaGhYBlxUbGhUpLC4A//8ARv/7AfwC+AAiAWAAAAADArwBtwAA//8ARv/7AfwC9wAiAuEAAAACAWAAAP//AEb/+wH8AvcAIgFgAAAAAwLAAbcAAP//AEb++wH8AfQAIgFgAAAAAwLMAbcAAP//AEb/+wH8AscAIgFgAAAAAwK6AbcAAP//AEb/QAH8AfQAIgFgAAAAAwLKAbcAAAABAEb/SAH8AfQAKACJtSUBAwIBSkuwC1BYQB8AAQMAAwEAfgACAgRfBgUCBAQfSwADAyBLAAAAGQBMG0uwDVBYQB8AAQMAAwEAfgACAgRfBgUCBAQfSwADAx1LAAAAGQBMG0AfAAEDAAMBAH4AAgIEXwYFAgQEH0sAAwMgSwAAABkATFlZQA4AAAAoACclJSUVFgcHGSsAFREUBgcHBiY1NDc3NjY1ETQmIyIGFRUUBiMiJjURNDYzMhYVFTY2MwH8TlIcHSAqGykmMTQ9ShsXFxwdFhYaGVU2AfTF/s1UVgYCAhQVIgMCAi0vATg8OExA6xYaGhYBlxUbGhUoKy7//wBG/0oC+ALHACIBYAAAACMBUAJAAAAAAwK6A08AAP//AEb/VgH8AfQAIgFgAAAAAwLQAbcAAP//AEb/+wH8AtAAIgFgAAAAAwLDAbcAAAACACr/+QIKAfQADwAbACxAKQACAgBfAAAAH0sFAQMDAV8EAQEBIAFMEBAAABAbEBoWFAAPAA4mBgcVKxYmJjU0NjYzMhYWFRQGBiM2NjU0JiMiBhUUFjPSbTs7bUhIbTs7bUhDR0hCQkhHQwc+c0xNcz4+c01Mcz5QWFVUWVlUVVj//wAq//kCCgL4ACIBawAAAAMCvAGwAAD//wAq//kCCgLbACIBawAAAAMCwQGwAAD//wAq//kCCgL3ACIBawAAAAMCvwGwAAD//wAq//kCEQMkACIBawAAAAMC/QGwAAD//wAq/0ACCgL3ACIBawAAACMCygGwAAAAAwK/AbAAAP//ACr/+QIKAyYAIgFrAAAAAwL+AbAAAP//ACr/+QIKAyMAIgFrAAAAAwL/AbAAAP//ACr/+QIKAywAIgFrAAAAAwMAAbAAAP//ACr/+QIKAvkAIgFrAAAAAwLGAbAAAP//ACr/+QIKAsQAIgFrAAAAAwK5AbAAAP//ACr/+QIKA3EAIgFrAAAAIwK5AbAAAAEHAsQBsADBAAixBAGwwbAzK///ACr/+QIKA3EAIgFrAAAAIwK6AbAAAAEHAsQBsADBAAixAwGwwbAzK///ACr/QAIKAfQAIgFrAAAAAwLKAbAAAP//ACr/+QIKAvcAIgFrAAAAAwK7AbAAAP//ACr/+QIKAvYAIgFrAAAAAwLFAbAAAAACACr/+QITAnEAHgAqAG1LsCdQWLUeAQQBAUobtR4BBAIBSllLsCdQWEAcAAMBA4MABAQBXwIBAQEfSwYBBQUAYAAAACAATBtAIAADAQODAAICF0sABAQBXwABAR9LBgEFBQBgAAAAIABMWUAOHx8fKh8pKiQiJiUHBxkrABYVFAYGIyImJjU0NjYzMhcWMzI2NzY2MzIWFRQGBwI2NTQmIyIGFRQWMwHeLDttSEhtOzttSBQaFgYoKAQCGRYWFDEsWUdIQkJIR0MBnmhATHM+PnNMTXM+BAInLRkWFxkuRRD+i1hVVFlZVFVY//8AKv/5AhMC+AAiAXsAAAADArwBsAAA//8AKv9AAhMCcQAiAXsAAAADAsoBsAAA//8AKv/5AhMC9wAiAXsAAAADArsBsAAA//8AKv/5AhMC9gAiAXsAAAADAsUBsAAA//8AKv/5AhMC0AAiAXsAAAADAsMBsAAA//8AKv/5AgoC+QAiAWsAAAADAr0BsAAA//8AKv/5AgoC3QAiAWsAAAADAscBsAAA//8AKv/5AgoCsAAiAWsAAAADAsQBsAAA//8AKv/5AgoDuQAiAWsAAAAjAsQBsAAAAQcCvAGwAMEACLEDAbDBsDMr//8AKv/5AgoDuAAiAWsAAAAjAsQBsAAAAQcCuwGwAMEACLEDAbDBsDMrAAIAKv8+AgoB9AAjAC8AdUuwE1BYtRUBAAUBShu1FQEBBQFKWUuwE1BYQB8GAQUEAAQFAH4ABAQDXwADAx9LAQEAAAJgAAICGQJMG0AlBgEFBAEEBQF+AAEABAEAfAAEBANfAAMDH0sAAAACYAACAhkCTFlADiQkJC8kLisqJRMkBwcZKwQGFRQWMzI3NjMyFhUUBwYjIiY1NDcmJjU0NjYzMhYWFRQGByY2NTQmIyIGFRQWMwFJJSEcER8EBwoMECUpNUMiYnI7bUhIbTtRRxVHSEJCSEdDBiYeHCALAg8LEgkUOy8yIAmHbE1zPj5zTVp+F0JYVVRZWVRVWAAAAwAq/9cCCgIVACMAKwAzAERAQSMaAgQCMTAmJQQFBBEIAgAFA0oAAwIDgwABAAGEAAQEAl8AAgIfSwYBBQUAXwAAACAATCwsLDMsMikjKyMlBwcZKwAWFRQGBiMiJwcGIyImNTQ3NyYmNTQ2NjMyFzc2MzIWFRQHBwAXEyYjIgYVFjY1NCcDFjMB3iw7bUg3LBUKEw0TBRYqLDttSDksFAoTDRMFFv7aH6cbIENIz0cfphgiAaBoQkxzPhIjEREMCgglIWhCTXM+EyMREQ0JCCX+5y0BHgtaVK1YVU0t/uMK//8AKv/XAgoC+AAiAYcAAAADArwBsAAA//8AKv/5AgoC0AAiAWsAAAADAsMBsAAA//8AKv/5AgoDuQAiAWsAAAAjAsMBsAAAAQcCvAGwAMEACLEDAbDBsDMr//8AKv/5AgoDhQAiAWsAAAAjAsMBsAAAAQcCuQGwAMEACLEDArDBsDMr//8AKv/5AgoDcQAiAWsAAAAjAsMBsAAAAQcCxAGwAMEACLEDAbDBsDMrAAMAKv/5A14B9AAqADEAPQCuS7AhUFhAChgBBwgKAQUGAkobQAoYAQcJCgEFBgJKWUuwIVBYQCwLAQYEBQQGBX4ABwAEBgcEZQkMAggIAl8DAQICH0sNCgIFBQBfAQEAACAATBtANgsBBgQFBAYFfgAHAAQGBwRlDAEICAJfAwECAh9LAAkJAl8DAQICH0sNCgIFBQBfAQEAACAATFlAHzIyKysAADI9Mjw4NisxKzAuLQAqACkhJCQmJCYOBxorJBYVFAcGBiMiJicGBiMiJiY1NDY2MzIWFzY2MzIWFhUUIyEWMzI2NzY2MwIGBzMmJiMANjU0JiMiBhUUFjMDSBIkI1IlRGQdHWJAR2w7O2xHQGIdHWA9PV0zJf7QCookNR0LFQfkRgf9Aj43/s1GR0JCR0dCexYRHRQUFjUyMTY+c0xNcz42MjE3OmlGKJsTEAcJAS9KQ0RJ/p9YVVRZWVRUWQAAAgBG/0cCJQH0ABwAKAA7QDgZCgIFBAFKAAQEAl8GAwICAh9LBwEFBQBfAAAAIEsAAQEZAUwdHQAAHSgdJyMhABwAGyUlJggHFysAFhYVFAYGIyImJxUUBiMiJjURNDYzMhYVFTY2MxI2NTQmIyIGFRQWMwGLYzc2Y0A3VBYbFhcdHBcWHBZUNypISUFCR0dCAfRAdExLcj4vLN8VGRoWAkoWGxsWKSww/lVZUlNcWlNTWgAAAgBG/0cCJQLGABwAKAA/QDwZCgIFBAFKAAICFksABAQDXwYBAwMfSwcBBQUAXwAAACBLAAEBGQFMHR0AAB0oHScjIQAcABslJSYIBxcrABYWFRQGBiMiJicVFAYjIiY1ETQ2MzIWFRE2NjMSNjU0JiMiBhUUFjMBi2I4OGI/N1QWGxYXHR0XFhsWVDcqSEhCQkdHQgH0QHRMTHI9LyzfFRkaFgMfFhoZFf8ALDD+VVpRUl1aU1NaAAIAKv9HAggB9AAcACgAO0A4GAoCBQQBSgAEBAJfBgMCAgIfSwcBBQUBXwABASBLAAAAGQBMHR0AAB0oHScjIQAcABsmJSUIBxcrABYVERQGIyImNTUGBiMiJiY1NDY2MzIWFzU0NjMCNjU0JiMiBhUUFjMB7RscFxcbFlM3QGM2N2M/N1QWGxd5R0dCQUpJQgHyGxb9thYaGRXdKy4+cktMdEAwLCkWG/5XWlNTWl1SUlkAAAEARv/7AXYB9QAbAFC1FwEAAQFKS7ALUFhADQMCAgEBH0sAAAAgAEwbS7ANUFhADQMCAgEBH0sAAAAdAEwbQA0DAgIBAR9LAAAAIABMWVlACwAAABsAGyUrBAcWKwAVFAYHBwYGFRUUBiMiJjURNDYzMhYVFTY2NzcBdhYbHj89HBYWHR0WFBsUTDAOAfUsFhYCAwZMNuUYGBgYAZcXGRkWMCwuBAEA//8ARv/7AZAC+AAiAZEAAAADArwBcgAA//8ARv/7AXYC9wAiAZEAAAADAsABcgAA//8AQf77AXYB8gAiAZEAAAADAswBDwAA//8AOv/7AXYC+QAiAZEAAAADAsYBcgAA//8AP/9AAXYB8gAiAZEAAAADAsoBDwAA//8AOf/7AX8C3QAiAZEAAAADAscBcgAA////2P9WAXYB8gAiAZEAAAADAtABDwAAAAEAKP/5AbgB9AA1ADZAMwADBAAEAwB+AAABBAABfAAEBAJfAAICH0sAAQEFXwYBBQUgBUwAAAA1ADQkJiwjJgcHGSsWJyYmNTQ2MzIXFhYzMjY1NCYmJyYmNTQ2NjMyFhcWFRQGIyImJyYmIyIGFRQWFx4CFRQGI4pBEg8SDg0cHjkrMDYVNDNYTTJYOChMHSETDQkSDxsvIyozL0FDTCFtWwcqCxgPEBYQEBQiHxQYEwsTQTgrRSYVFBYdEBYICRASJB8cHw4OJDUpQU///wAo//kBuAL4ACIBmQAAAAMCvAGQAAD//wAo//kBuAL4ACIBmQAAACMCvAGYAAABBwK6AS8AMAAIsQIBsDCwMyv//wAo//kBuAL3ACIBmQAAAAMCwAGQAAD//wAo//kBuAOIACIBmQAAACMCwAGQAAABBwK6AZAAwQAIsQIBsMGwMysAAQAo/z4BuAH0AFQBfEAKIQEBAAMBBAECSkuwCVBYQDwACQoGCgkGfgAGBwoGB3wAAQAEAwFwBQEEAwAEbgAKCghfAAgIH0sABwcAXwAAABVLAAMDAmAAAgIZAkwbS7ANUFhAPAAJCgYKCQZ+AAYHCgYHfAABAAQDAXAFAQQDAARuAAoKCF8ACAgfSwAHBwBfAAAAIEsAAwMCYAACAhkCTBtLsA9QWEA9AAkKBgoJBn4ABgcKBgd8AAEABAABBH4FAQQDAARuAAoKCF8ACAgfSwAHBwBfAAAAIEsAAwMCYAACAhkCTBtLsB1QWEA+AAkKBgoJBn4ABgcKBgd8AAEABAABBH4FAQQDAAQDfAAKCghfAAgIH0sABwcAXwAAACBLAAMDAmAAAgIZAkwbQEQACQoGCgkGfgAGBwoGB3wAAQAEAAEEfgAEBQAEBXwABQMABQN8AAoKCF8ACAgfSwAHBwBfAAAAIEsAAwMCYAACAhkCTFlZWVlAEEtJRUMsIyohJCckIhELBx0rJAYHBzYzMhYVFAYjIicmNTQ2FxYzMjY1NCYjIgYjIiY3NyYnJiY1NDYzMhcWFjMyNjU0JiYnJiY1NDY2MzIWFxYVFAYjIiYnJiYjIgYVFBYXHgIVAbhhUQUOCx8rQDsnHhIRDh4aGhwPDgoiBAgNAQhLMhIPEg4NHB45KzA2FTQzWE0yWDgoTB0hEw0JEg8bLyMqMy9BQ0whTE0FJgMkISUvCwcSDBAECBAQDA0ICwlECCALGA8QFhAQFCIfFBgTCxNBOCtFJhUUFh0QFggJEBIkHxwfDg4kNSn//wAo//kBuAL3ACIBmQAAAAMCvwGQAAD//wAo/vsBuAH0ACIBmQAAAAMCzAGGAAD//wAo//kBuALHACIBmQAAAAMCugGQAAD//wAo/0ABuAH0ACIBmQAAAAMCygGGAAD//wAo/0ABuALHACIBmQAAACMCygGGAAAAAwK6AZAAAAABAEb/+QJeAscAQgCFS7ALUFhAHwAAAgECAAF+AAICBF8ABAQcSwABAQNfBgUCAwMgA0wbS7ANUFhAHwAAAgECAAF+AAICBF8ABAQWSwABAQNfBgUCAwMdA0wbQB8AAAIBAgABfgACAgRfAAQEFksAAQEDXwYFAgMDIANMWVlAEQAAAEIAQTAuKSciICQnBwcWKwQmJyYmNTQ2MzIWFxYWMzI2NTQmJy4CNTQ2NzY2NTQmIyIGFREUBiMiJjURNDYzMhYVFAYHBgYVFBYXHgIVFAYjAXhRHxIPEg4JFgscMiQsMDI0LjkoJCMdHS0qQUgbFxccfnNUXygkGxkvMy07KmhVBxYUCxgPEBYKBxATIh8eIREQHDQqJTUiGygYHyJQSf5KFhoaFgGodIBIQCk6IRohExweEw8fOCxDUgAB//3/+QFeAoAAJgBFS7ALUFhAFwADAgODBQEBAQJfBAECAhdLAAAAHQBMG0AXAAMCA4MFAQEBAl8EAQICF0sAAAAgAExZQAkkIyMjJRQGBxorJBYVFAYnJyYmNTUjIjU0NjMzNTQ2MzIWFRUzMhYVFAYjIxUUFhcXAUsTHx4bUVA8LBcVPBsXFxxjFRcXFWMnKBxGExEUFQICBldV6ycSFWcXGhoXZxUSExTyLywDAgAAAQAC//kBYwKAADgAXkuwC1BYQCEABQQFgwgBAgkBAQACAWcHAQMDBF8GAQQEF0sAAAAdAEwbQCEABQQFgwgBAgkBAQACAWcHAQMDBF8GAQQEF0sAAAAgAExZQA4zMSEkIyMjISQlFAoHHSskFhUUBicnJiY1NSMiJjU0NjMzNSMiNTQ2MzM1NDYzMhYVFTMyFhUUBiMjFTMyFhUUBiMjFRQWFxcBUBMfHhtRUCoUFhYUKjwsFxU8GxcXHGMVFxcVY1EUFhYUUScoHEYTERQVAgIGV1VEFBERFF0nEhVnFxoaF2cVEhMUXRQRERRLLywDAgAC//3/+QFeAscADgA1AGi1CwEFAQFKS7ALUFhAJAAFAQABBQB+AAAAAV8AAQEcSwcBAwMEXwYBBAQXSwACAh0CTBtAJAAFAQABBQB+AAAAAV8AAQEWSwcBAwMEXwYBBAQXSwACAiACTFlACyQjIyMlGiUgCAccKwAjIiY1NTQ2MzIWFRQHBxIWFRQGJycmJjU1IyI1NDYzMzU0NjMyFhUVMzIWFRQGIyMVFBYXFwEuFwsRGhISGgEeFxMfHhtRUDwsFxU8GxcXHGMVFxcVYycoHAINDAp+EhQTEAcDe/4nExEUFQICBldV6ycSFWcXGhoXZxUSExTyLywDAgAB//3/PgFeAoAARQENQAtCGwIJBEMBAgoCSkuwC1BYQDEABgUGgwsBCgkCAQpwAwECAQkCAXwIAQQEBV8HAQUFF0sACQkdSwABAQBgAAAAGQBMG0uwDVBYQDEABgUGgwsBCgkCAQpwAwECAQkCAXwIAQQEBV8HAQUFF0sACQkgSwABAQBgAAAAGQBMG0uwHVBYQDIABgUGgwsBCgkCCQoCfgMBAgEJAgF8CAEEBAVfBwEFBRdLAAkJIEsAAQEAYAAAABkATBtAOAAGBQaDCwEKCQIJCgJ+AAIDCQIDfAADAQkDAXwIAQQEBV8HAQUFF0sACQkgSwABAQBgAAAAGQBMWVlZQBQAAABFAERAPyQjIyMmISQnJAwHHSsEFhUUBiMiJyY1NDYXFjMyNjU0JiMiBiMiJjc3JjU1IyI1NDYzMzU0NjMyFhUVMzIWFRQGIyMVFBYXFxYWFRQGLwIHNjMBKytAOyceEhEOHhoaHA8OCiIECA0BClU8LBcVPBsXFxxjFRcXFWMnKBwWEx8eGw4FDgspJCElLwsHEgwQBAgQEAwNCAsJVyd66ycSFWcXGhoXZxUSExTyLywDAgITERQVAgIBKgP////9/vsBXgKAACIBpQAAAAMCzAF4AAD////9//sBXgM7ACIBpQAAAQcC0gEt/7oACbEBArj/urAzKwD////9/0ABXgKAACIBpQAAAAMCygF4AAD////9/1YBgwKAACIBpQAAAAMC0AF4AAAAAQBE//kB8gHyACEAZLUKAQMCAUpLsAtQWEATBQQCAgIfSwADAwBgAQEAACAATBtLsA1QWEATBQQCAgIfSwADAwBgAQEAAB0ATBtAEwUEAgICH0sAAwMAYAEBAAAgAExZWUANAAAAIQAgJSQlJQYHGCsAFhURFAYjIiY1NQYGIyI1ETQ2MzIWFREUFjMyNjU1NDYzAdcbHBcVGhdRMrIbGBcbMDI7RxwXAfIaF/5pFRoZFSYqLMQBBBcaGhf+/Ts4TD/rFhv//wBE//kB8gL4ACIBrQAAAAMCvAGyAAD//wBE//kB8gLbACIBrQAAAAMCwQGyAAD//wBE//kB8gL3ACIBrQAAAAMCvwGyAAD//wBE//kB8gL5ACIBrQAAAAMCxgGyAAD//wBE//kB8gLEACIBrQAAAAMCuQGyAAD//wBE/0AB8gHyACIBrQAAAAMCygGyAAD//wBE//kB8gL3ACIBrQAAAAMCuwGyAAD//wBE//kB8gL2ACIBrQAAAAMCxQGyAAAAAQBE//kCZgJyACgAckALIwECBQoCAgMCAkpLsAtQWEAXAAUCBYMEAQICH0sAAwMAYAEBAAAgAEwbS7ANUFhAFwAFAgWDBAECAh9LAAMDAGABAQAAHQBMG0AXAAUCBYMEAQICH0sAAwMAYAEBAAAgAExZWUAJIxUlJCUlBgcaKwAGBxEUBiMiJjU1BgYjIjURNDYzMhYVERQWMzI2NTU0NzI2NzYzMhYVAmY/NRwXFRoXUTKyGxgXGzAyO0cxJiQDBC0WFAIMSwn+chUaGRUmKizEAQQXGhoX/v07OEw/6ywFJisvFxkA//8ARP/5AmYC+AAiAbYAAAADArwBsgAA//8ARP9AAmYCcgAiAbYAAAADAsoBsgAA//8ARP/5AmYC9wAiAbYAAAADArsBsgAA//8ARP/5AmYC9gAiAbYAAAADAsUBsgAA//8ARP/5AmYC0AAiAbYAAAADAsMBsgAA//8ARP/5AfIC+QAiAa0AAAADAr0BsgAA//8ARP/5AfIC3QAiAa0AAAADAscBsgAA//8ARP/5AfICsAAiAa0AAAADAsQBsgAA//8ARP/5AfIDhQAiAa0AAAAjAsQBsgAAAQcCuQGyAMEACLECArDBsDMrAAEARP8+AiEB8gA2AF61EQEEAwFKS7ATUFhAHAUBAwMfSwAEBAJgAAICIEsGAQAAAV8AAQEZAUwbQCMAAAIGAgAGfgUBAwMfSwAEBAJgAAICIEsABgYBXwABARkBTFlACiolJSQqJREHBxsrBDMyFhUUBwYjIiY1NDY3JjU1BgYjIjURNDYzMhYVERQWMzI2NTU0NjMyFhURFAYHBhUUFjMyNwIEBwoMECMrNUMlIwMXUTKyGxgXGzAyO0ccFxcbDw1CIBwVG3kPCxIJFDwwIzcRCQonKizEAQQXGhoX/v07OEw/6xYbGhf+aRAXBBI3HCALAP//AET/+QHyAvQAIgGtAAAAAwLCAbIAAP//AET/+QHyAtAAIgGtAAAAAwLDAbIAAP//AET/+QHyA7kAIgGtAAAAIwLDAbIAAAEHArwBsgDBAAixAgGwwbAzKwABAA3//AH7AfEAGAAytRcBAQABSkuwCVBYQAwCAQAAH0sAAQEVAUwbQAwCAQAAH0sAAQEgAUxZtScnIQMHFysANjMyFhUUBwMGBiMiJicDJjU0NjMyFxMTAacXDRMdBL8HHRAQHQe/BCAUHQ6bmgHjDhoSCgn+axARERABlQgLEhoc/qgBVwAAAQAZ//wDOAHxACcAOrcmHg4DAQABSkuwCVBYQA4EAwIAAB9LAgEBARUBTBtADgQDAgAAH0sCAQEBIAFMWbclJyYnIAUHGSsAMzIWFRQHAwYGIyImJwMDBgYjIiYnAyY1NDYzMhcTEzY2MzIWFxMTAukeEx4EpgYcERAcBoJ/BhsREB0HpQQhFB4LgYQGGg8OGgaEgQHxGhMKCP5rEBEREAFB/r8QEREQAZUICRQaHf6rAVIQEBAQ/rABUv//ABn//AM4AvgAIgHFAAAAAwK8Aj4AAP//ABn//AM4AvcAIgHFAAAAAwK/Aj4AAP//ABn//AM4AsQAIgHFAAAAAwK5Aj4AAP//ABn//AM4AvcAIgHFAAAAAwK7Aj4AAAABAB3/+wHwAfEAIwBPQAkiGRAHBAACAUpLsAtQWEANAwECAh9LAQEAACAATBtLsA1QWEANAwECAh9LAQEAAB0ATBtADQMBAgIfSwEBAAAgAExZWbYkKiQjBAcYKyQVFAYjIicnBwYjIiY1NDc3JyY1NDYzMhcXNzYzMhYVFAcHFwHwGxMTEJmYEBMTGw6elg8cEhMQkZEQFBIcD5adPRQTGxGsrBEcExMPrqcRERMbEaSkERsTEw+nrgABAA3/RwH7AfEAGwAdQBoaEQ4DAQABSgIBAAAfSwABARkBTConIQMHFysANjMyFhUUBwEGBiMiJjU0NzcDJjU0NjMyFxMTAacXDRMdBP7qBhcNEh0FRcEEIBQeDZuaAeMOGhIKCf2yDg8YEggMkwGaCAoTGhz+qAFX//8ADf9HAfsC+AAiAcsAAAADArwBmgAA//8ADf9HAfsC9wAiAcsAAAADAr8BmgAA//8ADf9HAfsCxAAiAcsAAAADArkBmgAA//8ADf9HAfsCxwAiAcsAAAADAroBmgAA//8ADf9AAfsB8QAiAcsAAAADAsoCJQAA//8ADf9HAfsC9wAiAcsAAAADArsBmgAA//8ADf9HAfsC9gAiAcsAAAADAsUBmgAA//8ADf9HAfsCsAAiAcsAAAADAsQBmgAA//8ADf9HAfsC0AAiAcsAAAADAsMBmgAAAAEAJwAAAdwB6AAbACVAIgABAQJdAAICF0sEAQMDAF0AAAAVAEwAAAAbABo0JTQFBxcrJBYVFAYjISImNTQ3ASMiJjU0NjMhMhYVFAcBIQHFFxcW/qoWGg8BFvsVFxcVAUwVGw/+6gEFThUSEhUZExMSAUkVEhIVGhITEv63//8AJwAAAdwC+AAiAdUAAAADArwBmAAA//8AJwAAAdwC9wAiAdUAAAADAsABmAAA//8AJwAAAdwCxwAiAdUAAAADAroBmAAA//8AJ/9AAdwB6AAiAdUAAAADAsoBkQAA//8ARv9KAh8C+AAiAUAAAAAjArwBDwAAACMBUADyAAAAAwK8AgEAAAACACr/+QIIAfQAHAAoAH62GAoCBQQBSkuwC1BYQBkABAQCXwYDAgICH0sHAQUFAF8BAQAAIABMG0uwDVBYQBkABAQCXwYDAgICH0sHAQUFAF8BAQAAHQBMG0AZAAQEAl8GAwICAh9LBwEFBQBfAQEAACAATFlZQBQdHQAAHSgdJyMhABwAGyYlJQgHFysAFhURFAYjIiY1NQYGIyImJjU0NjYzMhYXNTQ2MwI2NTQmIyIGFRQWMwHtGxsXFxsWVDdAYjc3YkA3VBYbF3lHR0JCSUlCAfIbFv5rFxoaFygsLz9xS010PzAsKhYa/ldaU1NaW1RRWv//ACr/+QIIAvgAIgHbAAAAAwK8Ab4AAP//ACr/+QIIAtsAIgHbAAAAAwLBAb4AAP//ACr/+QIIAyIAIgHbAAAAAwL5Ab4AAP//ACr/QAIIAtsAIgHbAAAAIwLKAb4AAAADAsEBvgAA//8AKv/5AggDIgAiAdsAAAADAvoBvgAA//8AKv/5AggDIwAiAdsAAAADAvsBvgAA//8AKv/5AggDIgAiAdsAAAADAvwBvgAA//8AKv/5AggC9wAiAdsAAAADAsABvgAA//8AKv/5AggC9wAiAdsAAAADAr8BvgAA//8AKv/5Ah8DJAAiAdsAAAADAv0BvgAA//8AKv9AAggC9wAiAdsAAAAjAsoBvgAAAAMCvwG+AAD//wAq//kCCAMmACIB2wAAAAMC/gG+AAD//wAq//kCCQMjACIB2wAAAAMC/wG+AAD//wAq//kCCAMsACIB2wAAAAMDAAG+AAD//wAq//kCCAL5ACIB2wAAAAMCxgG+AAD//wAq//kCCALEACIB2wAAAAMCuQG+AAD//wAq//kCCALHACIB2wAAAAMCugG+AAD//wAq/0ACCAH0ACIB2wAAAAMCygG+AAD//wAq//kCCAL3ACIB2wAAAAMCuwG+AAD//wAq//kCCAL2ACIB2wAAAAMCxQG+AAD//wAq//kCCALdACIB2wAAAAMCxwG+AAD//wAq//kCCAKwACIB2wAAAAMCxAG+AAAAAgAq/z4CNwH0ADIAPgBxth8RAgcGAUpLsBNQWEAiAAYGA18EAQMDH0sIAQcHAl8AAgIgSwUBAAABYAABARkBTBtAKQAAAgUCAAV+AAYGA18EAQMDH0sIAQcHAl8AAgIgSwAFBQFgAAEBGQFMWUAQMzMzPjM9JislJiolEQkHGysEMzIWFRQHBiMiJjU0NjcmNTUGBiMiJiY1NDY2MzIWFzU0NjMyFhURFAYHBgYVFBYzMjcmNjU0JiMiBhUUFjMCGgcKDBAiLDREJCMEFlQ3QGI3N2JAN1QWHRUWHA0OHyQhGxQcuUdHQkJJSUJ5DwsSCRQ8MCI4EgwJKSwvP3FLTXQ/MCwqFxkZGP5qDxcFCCUdHCALxFpTU1pbVFFa//8AKv/5AggC9AAiAdsAAAADAsIBvgAAAAQAKv/5AggDWAAVACEAPgBKANxADBAHAgQAOiwCCgkCSkuwC1BYQDAAAQABgwAADAEEAwAEZwADCwECBwMCZwAJCQdfDQgCBwcfSw4BCgoFXwYBBQUgBUwbS7ANUFhAMAABAAGDAAAMAQQDAARnAAMLAQIHAwJnAAkJB18NCAIHBx9LDgEKCgVfBgEFBR0FTBtAMAABAAGDAAAMAQQDAARnAAMLAQIHAwJnAAkJB18NCAIHBx9LDgEKCgVfBgEFBSAFTFlZQCc/PyIiFhYAAD9KP0lFQyI+Ij04NjAuKScWIRYgHBoAFQAUIyQPBxYrEiY1NDYzMhc3NjMyFhUUBwcWFRQGIyYGFRQWMzI2NTQmIxYWFREUBiMiJjU1BgYjIiYmNTQ2NjMyFhc1NDYzAjY1NCYjIgYVFBYz/Dw8LB4XVxEVEhobaQ08KxQbGxQUGhoUxRsbFxcbFlQ3QGI3N2JAN1QWGxd5R0dCQklJQgIpOisrOw5gEhsRGQ9EFxsrOpYdFBQdHBUVHM0bFv5rFxoaFygsLz9xS010PzAsKhYa/ldaU1NaW1RRWgD//wAq//kCCALQACIB2wAAAAMCwwG+AAAAAv/9//sCDQLHAAsANwCTS7ALUFhAIAkBAQEAXwcBAAAcSwUBAwMGXwoIAgYGF0sEAQICIAJMG0uwDVBYQCAJAQEBAF8HAQAAFksFAQMDBl8KCAIGBhdLBAECAh0CTBtAIAkBAQEAXwcBAAAWSwUBAwMGXwoIAgYGF0sEAQICIAJMWVlAHAwMAAAMNww2Li0nJSEfHBoXFhMRAAsACiQLBxUrACY1NDYzMhYVFAYjFhYVERQGIyImNREjERQGIyImNREjIiY1NDYzMzU0Nj8CMhUUBwcGBhUVIQGxIiIdHCMiHRsXHBYWHdEdFhYcPBUXFxU8XlYYDSwnFzIwAQoCVCAaGh8fGhogbBUS/moYGBgYAW/+khgZGRgBbhUSEhULXGkIAgElIwUCBDc1HP////3/+wIBAsYAIgEyAAAAAwFVAVYAAP//AFL/+wIOAsYAIgBUAAAAAwBjAQsAAP//ADr/SgGqAscAIgFAAAAAIwK6AQ8AAAAjAVAA8gAAAAMCugIBAAAAAgAaAZUBKQLGACUAMADXtQoBAAcBSkuwDVBYQCgABAMCAwQCfgACAAYHAgZnAAMDBV8IAQUFREsBAQAAB18JAQcHPwBMG0uwD1BYQCUABAMCAwQCfgACAAYHAgZnCQEHAQEABwBjAAMDBV8IAQUFRANMG0uwFVBYQCgABAMCAwQCfgACAAYHAgZnAAMDBV8IAQUFREsBAQAAB18JAQcHPwBMG0AlAAQDAgMEAn4AAgAGBwIGZwkBBwEBAAcAYwADAwVfCAEFBUQDTFlZWUAWJiYAACYwJi8rKQAlACQiIyQlJQoJGSsSFhUVFAYjIiY1NQYGIyImNTQ2MzM1NCYjIgcGIyImNTQ2NzY2MxY2NTUjIgYVFBYz6UAYEhEXCy4dLDtLXhMYGyQmEAgNDwoNFTseCCQKOycZFALGPkGIFRUVFQwZHTckLigQGhYTBxMMCxAHCw72Ih4LEhQQFQACABQBlQFLAsYACwAXAEtLsCNQWEAXAAICAF8AAABESwQBAQEDXwUBAwM/AUwbQBQFAQMEAQEDAWMAAgIAXwAAAEQCTFlAEgwMAAAMFwwWEhAACwAKJAYJFSsSJjU0NjMyFhUUBiM2NjU0JiMiBhUUFjNlUVFKSlJSSiIkJCIiIyMiAZVVRENVVUNDVkUrKSkrKykpKwACABoAAALEAscAEgAVAAi1FBMNAwIwKyQVFAYjISImNTQ3ATY2MzIWFwEBAyECxB0T/bcUHQQBGgcfEREfBwEa/rDfAb01DRIWFRMGDgJpEBISEP2XAg/+DAABACH/TAIpAsEAHgAGsxADATArBBYVFCMhIiY1NDcTAyY1NDYzITIVFCMhExYVFAcDIQIRGDD+VxYZDf7+DRkWAakwMP6p2xMT2wFXXxYUKxkTFBEBagFpERQTGSsq/soZFhUa/skAAAEANQAAAt8CygA1AAazKwQBMCskFhUUBiMjIiY1NDc2NjU0JiMiBhUUFhcWFRQGIyMiJjU0NjMzLgI1NDY2MzIWFhUUBgYHMwLFGhkXxRUZDWRJfW9vfUpjDRkVxBcaGheGTUweU5poZ5pUH01KhlUWFBQXGBMTFJuaOVVgYFU6m5kUExMYFxQTF2p8WC9QeEBBeE8wXH5jAAABAET/RwHyAfIAKAAGsxIAATArABYVERQGIyImNTUGBiMiJxUUBiMiJjURNDYzMhYVERQWMzI2NTU0NjMB1xscFxUaF1EyKyIcFxcbHBcXGzExOUkcFwHyGhf+aRYZGRUmKiwRkxYaGRUCTBYbGxb+/T02S0DrFhsAAAH//f/4AksB6AAsAAazHg8BMCskFhUUBicnJiY1NSMGBwYGIyImNTQ3NjY3IyImNTQ2MyEyFhUUBiMjFRQWFxcCOBMfHhtST4MFNgYdERQeAxkeAkEVFxcVAd0VFxcVTycoHEYTERUUAgIGV1Xr55cSEhgVCQpMt18VEhIVFRISFfIvLAMCAAACADD/+AIoAskACwAXACxAKQACAgBfAAAAHEsFAQMDAV8EAQEBHQFMDAwAAAwXDBYSEAALAAokBgcVKxYmNTQ2MzIWFRQGIzY2NTQmIyIGFRQWM7GBgXt7gYF7TUhITU1ISE0IuLCxuLexsbhThpCQhYWQj4cAAQBwAAACIALGABwAMEAtDAECAwFKAAIDAQMCAX4AAwMWSwUEAgEBAF4AAAAVAEwAAAAcABsmIyMzBgcYKyQWFRQjISI1NDYzMxEHBiMiJjU0Nzc2MzIWFREzAggYMP6yMRkYc2cKChEZFJoXFRYcdFUWFCsrFBYB80EGHhMXDWIOHBj9wwABADoAAAIoAskAJgAuQCsAAgEEAQIEfgABAQNfAAMDHEsFAQQEAF0AAAAVAEwAAAAmACUmIyozBgcYKyQWFRQjISImNTQ3EzY2NTQmIyIHBgYjIiY1NDc2NjMyFhUUBgcHIQIPGTH+fhYZEusvKj04VVQLDwgOFBQqdjxjdTU+vQElVRYUKxkTFxMBATNUKTU5QQcHGhIZDyQrZVY9bkTKAAABAC//+QITAskANwBBQD43AQMEAUoABgUEBQYEfgABAwIDAQJ+AAQAAwEEA2cABQUHXwAHBxxLAAICAF8AAAAgAEwmIiQ0MyMmJAgHHCsAFhUUBiMiJicmNTQ2MzIXFhYzMjU0JiMjIiY1NDYzMzI2NTQmIyIHBiMiJjU0NzY2MzIWFRQGBwHRQoFuQXcpFBQODxMrUzCOS0w3ExYWEydJTT85VFQTDw4UFCl1PmN1OzYBWFdCXGoqJRAYEhkNICF5OzsZERAZPTs0OkENGRIYECUqYlQ8WRQAAAIAJf/7AkICxgAaAB0Ab7UdAQQDAUpLsAtQWEAWBQYCBAIBAAEEAGcAAwMWSwABASABTBtLsA1QWEAWBQYCBAIBAAEEAGcAAwMWSwABAR0BTBtAFgUGAgQCAQABBABnAAMDFksAAQEgAUxZWUAPAAAcGwAaABkmIyMiBwcYKyQVFCMjFRQGIyImNTUhIiY1NDcBNjMyFhURMyEzEQJCMUAcFxYc/ucWGA0BPxAdFR5A/oPY5CkpYxkbGxljGBMUEwHLFxsZ/lIBOAABAEX/+QIrAsEAMgBGQEMwAQMHAUoABAMBAwQBfgABAgMBAnwIAQcAAwQHA2cABgYFXQAFBRRLAAICAF8AAAAgAEwAAAAyADEkNSMkJCYmCQcbKwAWFhUUBgYjIiYnJjU0NjMyFhcWFjMyNjU0JiMiBgcGIyImNRE0NjMhMhYVFAYjIRU2MwGOZTg+b0g+dygUFA4JDwopUy5GTk9CK0QeDxURFxkYAVgXGhoX/t03UgG+OGZCQ2g6KiURFxIZBgcgIUtEQU4dHw4VEQFJFxoWExQW3i4AAgAy//gCLALJACIALgBFQEIeAQYFAUoAAgMEAwIEfgcBBAAFBgQFZwADAwFfAAEBHEsIAQYGAF8AAAAdAEwjIwAAIy4jLSknACIAISMmJSYJBxgrABYWFRQGBiMiJjU0NjYzMhYXFhUUBiMiJicmIyIGFRU2NjMSNjU0JiMiBhUUFjMBj2Q3PGlDg41CfFU5cigUFA4JDwpUTFNcFmM+K0tLPj9PTkABvzlmQkJpO7OmdalaKiURFxIZBgdBmYkCMzv+jU9BQE9PQEFPAAABADT/+AIkAsEAFAAfQBwAAQECXQMBAgIUSwAAAB0ATAAAABQAEiUmBAcWKwAWFRQHAQYjIiY1NDcBISImNTQzIQINFwv+uRAcEx8IAS3+uxgYMAGTAsEYExIU/aQcGxQMEAIpFhQrAAMAKv/5Ai4CyQAXACMAKwA9QDoXCwIEAgFKAAIABAUCBGcGAQMDAV8AAQEcSwcBBQUAXwAAACAATCQkGBgkKyQqKCYYIxgiKiokCAcXKwAWFRQGIyImNTQ2NyYmNTQ2MzIWFRQGBwIGFRQWMzI2NTQmIxI1NCMiFRQzAepEh3t7h0U+NT2AcXGAPTTGSEhGRkhIRp+fn58BWFxAXGdnXEFcERRWOVdlZVc5VxMBDDs3OTw8OTc7/dZ3eHh3AAACACz/+AImAskAIgAuAEVAQhYBBgUBSgABAwIDAQJ+CAEGAAMBBgNnAAUFBF8HAQQEHEsAAgIAXwAAAB0ATCMjAAAjLiMtKScAIgAhJSMmJQkHGCsAFhUUBgYjIiYnJjU0NjMyFhcWMzI2NTUGBiMiJiY1NDY2MxI2NTQmIyIGFRQWMwGZjUJ8VTlyKBQUDgkPClRMU1wWYz4/ZDc8aUNET05APktLPgLJs6Z1qVoqJREXEhkGB0GZiQIzOzlmQkJpO/6NT0BBT09BQE8AAAEAcv/7AX8CxgAVAFy1DAECAAFKS7ALUFhAEwACAAEAAgF+AAAAFksAAQEgAUwbS7ANUFhAEwACAAEAAgF+AAAAFksAAQEdAUwbQBMAAgABAAIBfgAAABZLAAEBIAFMWVm1JSUgAwcXKwAzMhYVERQGIyImNREHBiMiJjU0NzcBNxYWHB0XFx1nCwkRGRWZAsYcGP2dGRsbGQIZQQYeEhgNYgAAAQBy//sBfwHtABUAXLUMAQIAAUpLsAtQWEATAAIAAQACAX4AAAAXSwABASABTBtLsA1QWEATAAIAAQACAX4AAAAXSwABAR0BTBtAEwACAAEAAgF+AAAAF0sAAQEgAUxZWbUlJSADBxcrADMyFhURFAYjIiY1EQcGIyImNTQ3NwE4FRYcHRcXHWcLCxEXFZkB7RwY/nYZGxsZAUlBBxoQFg1hAAACAC//+AIpAfQADwAbACxAKQACAgBfAAAAH0sFAQMDAV8EAQEBHQFMEBAAABAbEBoWFAAPAA4mBgcVKxYmJjU0NjYzMhYWFRQGBiM2NjU0JiMiBhUUFjPjc0FBc0lJc0FBc0lGVVVGRlVWRQhAdEpKdEBAdEpKdEBRX05OX19OTWAAAQByAAACFwHtAB4AMEAtDgECAwFKAAIDAQMCAX4AAwMXSwUEAgEBAF4AAAAVAEwAAAAeAB0mIyQ0BgcYKyQWFRQGIyEiJjU0NjMzEQcGIyImNTQ3NzYzMhYVETMCABcXEf6uEBcXEHpnCwsRFxWZGBUWHHBOFhERFhcQERYBKkEHGhAWDWEPHBj+lQABAFYAAAIRAfQAJwAuQCsAAgEEAQIEfgABAQNfAAMDH0sFAQQEAF0AAAAVAEwAAAAnACYnIyo0BgcYKyQWFRQGIyEiJjU0Njc2NjU0JiMiBgcGIyImNTQ2NzY2MzIWFRQGBzMB+hcXEf6bFRcODpmCNjMqPCMcDA0SDxIjXzJfa36I+k8WEREXGRENFwdKdTkqLBIQDhYREBcKExZTS0uDOQABAEP/RQIFAfQAPQBBQD49AQMEAUoABgUEBQYEfgABAwIDAQJ+AAQAAwEEA2cABQUHXwAHBx9LAAICAF8AAAAZAEwnIyQ0NCQnJQgHHCskFhUUBgYjIiYnJiY1NDYzMhYXFhYzMjY1NCYjIyImNTQ2MzMyNjU0JiMiBgcGIyImNTQ2NzY2MzIWFQYGBwHEQTlpRDdhJBIOEQ0JHAMhQC1DR0xJIhIXFxIURU46OCc5Ih4LDREOEiNdK2ZuATowlFY8OFYvFRMKGA8RFgwBDxM7ODY5FhISFT84MDUSEA4WERAXChMWXVI1WBMAAAIAMP9HAiwB7gAcAB8AMEAtHwEEAwFKAAMDF0sFBgIEBABfAgEAABVLAAEBGQFMAAAeHQAcABsmIyMkBwcYKyQWFRQGIyMVFAYjIiY1NSEiJjU0NwE2MzIWFREzITMRAhcVFRA7GxUVG/71GBkRASsRHhUcO/6M2U8WEREXiBYbGxaIGhQYFgF9FRoZ/pQBFAAAAQBe/0UCIQHoADIARkBDMAEDBwFKAAQDAQMEAX4AAQIDAQJ8CAEHAAMEBwNnAAYGBV0ABQUXSwACAgBfAAAAGQBMAAAAMgAxJDUjJCQmJgkHGyskFhYVFAYGIyImJyY1NDYzMhYXFhYzMjY1NCYjIgYHBiMiJjURNDYzITIWFRQGIyEVNjMBjGA1O2xJMF8jIRINCRsEIT4rQ0tKPihIGA8UERYXEQFaERcXEf7fPEz0NmI/QWI1FRMSHxEWCwIPE0k+PEogHA8WEwE/ERcXEREX0y8AAAIAOP/4AiUCyQAjAC8ARUBCIAEGBQFKAAIDBAMCBH4HAQQABQYEBWcAAwMBXwABARxLCAEGBgBfAAAAHQBMJCQAACQvJC4qKAAjACIlFiUmCQcYKwAWFhUUBgYjIiY1NDY2MzIWFxYVFAYjIiYnJiYjIgYVFTY2MxI2NTQmIyIGFRQWMwGNYTc6Z0GAi0J9VidYJCARDggYAyA6JVRfF2A9KUtLPDxPTj4BvzdmRUJoO7OmdalaFBQTHhEWCwIQEpiICTM9/opRQkFRUkBBUgABAEX/RQIXAegAFQAfQBwAAQECXQMBAgIXSwAAABkATAAAABUAEyUmBAcWKwAWFRQHAQYjIiY1NDcBISImNTQ2MyEB/xgK/tEOGhMfBgEb/scRFhYRAX0B6BoVFBH9yRgbEwsMAg4XEREXAAADAC//+QIpAskAGAAkADAAPUA6GAsCBAIBSgACAAQFAgRnBgEDAwFfAAEBHEsHAQUFAF8AAAAgAEwlJRkZJTAlLyspGSQZIyorJAgHFysAFhUUBiMiJjU0NjcmJjU0NjYzMhYVFAYHAgYVFBYzMjY1NCYjEjY1NCYjIgYVFBYzAeNGiXR0iUY+Nj07a0ZrgT42uEtLQEBLS0BKUlJKSlJSSgFYW0FaaWlaQVsRFFc5OFYuZlY5WBMBED42N0BANzY+/dA/OjpAQDo6PwACADP/RQIhAfIAIwAvAEVAQhgBBgUBSgABAwIDAQJ+CAEGAAMBBgNnAAUFBF8HAQQEH0sAAgIAXwAAABkATCQkAAAkLyQuKigAIwAiJCUXJQkHGCsAFhUUBgYjIiYnJiY1NDYzMhYXFhYzMjY3BgYjIiYmNTQ2NjMSNjU0JiMiBhUUFjMBlI1DflUmWCQSDxIOBxgFHTomU18BF186P2M3O2dBQVBPPTtLSzsB8rCbaaFYFRQKFw8RFwsCEBOPeDM7OGVCQWg7/o5RPz9RUEBAUP//AB7//AFeAasAAgIhAAD//wBMAAABVgGpAAICIgAA//8AJAAAAV0BqwACAiMAAP//AB7//AFQAasAAgIkAAD//wAX//wBbwGqAAICJQAA//8AKf/8AVsBpwACAiYAAP//ACL//AFeAasAAgInAAD//wAf//sBXgGnAAICKAAA//8AG//8AWEBqwACAikAAP//AB7//AFaAasAAgIqAAAAAgAe//wBXgGrAAsAFwBKS7AJUFhAFQAAAAIDAAJnBQEDAwFfBAEBARUBTBtAFQAAAAIDAAJnBQEDAwFfBAEBASABTFlAEgwMAAAMFwwWEhAACwAKJAYHFSsWJjU0NjMyFhUUBiM2NjU0JiMiBhUUFjNzVVVLS1VVSyUjJCQlIyMlBG5qam1tampuREdNTEdGTU1HAAEATAAAAVYBqQAaAC1AKgoBAgMBSgADAgODAAIBAoMFBAIBAQBeAAAAFQBMAAAAGgAZJiMiMgYHGCskFRQjIyI1NDMzNQcGIyImNTQ3NzYzMhYVETMBViylKysnKwoIDxQSUhcSExgmSCQkJCT9GgUYDxUKMQwXFf7LAAABACQAAAFdAasAJgAsQCkAAgEEAQIEfgADAAECAwFnBQEEBABdAAAAFQBMAAAAJgAlJyMqMgYHGCskFRQjIyImNTQ3NzY2NTQmIyIHBgYjIiY1NDY3NjYzMhYVFAYHBzMBXSvgEhYRhBcXHxsjMQcOCA0RBwoaSCNATB4mY5NIJCQVDxURjxoqFRkaHwQGGAwLDwYUF0E0JD4mZgABAB7//AFQAasANgB2tTYBAwQBSkuwCVBYQCsABgUEBQYEfgABAwIDAQJ+AAcABQYHBWcABAADAQQDZwACAgBfAAAAFQBMG0ArAAYFBAUGBH4AAQMCAwECfgAHAAUGBwVnAAQAAwEEA2cAAgIAXwAAACAATFlACyYjIzQyIyYkCAccKyQWFRQGIyImJyY1NDYzMhcWFjMyNTQjIyImNTQ2MzMyNTQmIyIHBgYjIiY1NDc2NjMyFhUUBgcBKChRSSZKGQ8QDgsRFyoaSUwkEBISEBlLIBwkMQgOCA0QEBpIIkNLJB/PNCc2QhcVCxUMGAsOETk4FQ4OFDoYGx8EBhgOEwsUF0AyIjEMAAIAF//8AW8BqgAcAB8AULUfAQQDAUpLsAlQWEAWBQYCBAIBAAEEAGcAAwMBXwABARUBTBtAFgUGAgQCAQABBABnAAMDAV8AAQEgAUxZQA8AAB4dABwAGyYjIyQHBxgrJBYVFAYjIxUUBiMiJjU1IyImNTQ3EzYzMhYVFTMjMzUBWhUVExsWExMWmxIWC7cOGRIaG91wkRIQEBEpFBUVFCkXEBAQAQEUGBXsngABACn//AFbAacALgB7tSwBAwcBSkuwCVBYQCsABAMBAwQBfgABAgMBAnwABQAGBwUGZQgBBwADBAcDZwACAgBfAAAAFQBMG0ArAAQDAQMEAX4AAQIDAQJ8AAUABgcFBmUIAQcAAwQHA2cAAgIAXwAAACAATFlAEAAAAC4ALSI1JCQkFiQJBxsrABYVFAYjIiYnJjU0NjMyFhcWMzI2NTQmIyIGBgcGIyImNTU0NjMzMhUUIyMVNjMBEEtYRSNKGQ8QDQgOBzAnJCkpIRMdHQgIBw4UFxTCLCybHy4BEEg9Qk0YFAsTDhgGBR4jIB8lCQ4DAxMQrBUWJCNmFgACACL//AFeAasAHgAqAHS1GwEFBAFKS7AJUFhAJQACAwQDAgR+AAEAAwIBA2cHAQQABQYEBWcIAQYGAF8AAAAVAEwbQCUAAgMEAwIEfgABAAMCAQNnBwEEAAUGBAVnCAEGBgBfAAAAIABMWUAVHx8AAB8qHyklIwAeAB0iJyQkCQcYKwAWFRQGIyImNTQ2MzIWFxYWFRQGIyInJiMiBgc2NjMWNjU0JiMiBhUUFjMBE0tUQE5aYk0hQRsJBxENDQ8wIigxAhA1Hg8mJiAhKCchAQ1GPkBNZ2huchYVBw8KDRcJIEVCFhnQJyEhJychIScAAAEAH//7AV4BpwAUAE9LsAtQWEAPAwECAAEAAgFlAAAAIABMG0uwDVBYQA8DAQIAAQACAWUAAAAdAEwbQA8DAQIAAQACAWUAAAAgAExZWUALAAAAFAASJSYEBxYrABYVFAcDBiMiJjU0NxMjIiY1NDMzAUkVCrwNGRIbB6WoFhQq7gGnFhAREP6zGBgRDQsBIhISJQADABv//AFhAasAFwAjACsAZLYXCwIEAgFKS7AJUFhAHQABBgEDAgEDZwACAAQFAgRnBwEFBQBfAAAAFQBMG0AdAAEGAQMCAQNnAAIABAUCBGcHAQUFAF8AAAAgAExZQBQkJBgYJCskKigmGCMYIioqJAgHFyskFhUUBiMiJjU0NjcmJjU0NjMyFhUUBgcmBhUUFjMyNjU0JiMSNTQjIhUUMwE4KVZNTVYpJSAkUkdHUiUgeCQlIyImJCRRUVFRzzUmN0FBNyY2CgwyITQ+PjQiMwqOHRsbHh4bGx3+1jw7OzwAAgAe//wBWgGrAB4AKgB0tRUBAwYBSkuwCVBYQCUAAQMCAwECfgcBBAAFBgQFZwgBBgADAQYDZwACAgBfAAAAFQBMG0AlAAEDAgMBAn4HAQQABQYEBWcIAQYAAwEGA2cAAgIAXwAAACAATFlAFR8fAAAfKh8pJSMAHgAdJCInJAkHGCsAFhUUBiMiJicmJjU0NjMyFxYzMjY3BgYjIiY1NDYzFjY1NCYjIgYVFBYzAQBaYk0gQhsJBxENDQ8wIigxAhA1HjlLVEAiKCchICcmIAGrZ2huchYVBw8KDRcJIEVCFhlGPkBN0SchIScmIiEnAP//AB4BFgFeAsUBBwIhAAABGgAJsQACuAEasDMrAAABAEwBGgFWAsMAGgAtQCoKAQIDAUoAAgMBAwIBfgUEAgEAAAEAYgADAxQDTAAAABoAGSYjIjIGBxgrABUUIyMiNTQzMzUHBiMiJjU0Nzc2MzIWFREzAVYspSsrJysKCA8UElIXEhMYJgFiJCQkJP0aBRgPFQoxDBcV/sv//wAkARoBXQLFAQcCIwAAARoACbEAAbgBGrAzKwAAAQAeARYBUALFADYAPkA7NgEDBAFKAAYFBAUGBH4AAQMCAwECfgAEAAMBBANnAAIAAAIAYwAFBQdfAAcHFgVMJiMjNDIjJiQIBxwrABYVFAYjIiYnJjU0NjMyFxYWMzI1NCMjIiY1NDYzMzI1NCYjIgcGBiMiJjU0NzY2MzIWFRQGBwEoKFFJJkoZDxAOCxEXKhpJTCQQEhIQGUsgHCQxCA4IDRAQGkgiQ0skHwHpNCc2QhcVCxUMGAsOETk4FQ4OFDoYGx8EBhgOEwsUF0AyIjEMAP//ABcBFgFvAsQBBwIlAAABGgAJsQACuAEasDMrAP//ACkBFgFbAsEBBwImAAABGgAJsQABuAEasDMrAP//ACIBFgFeAsUBBwInAAABGgAJsQACuAEasDMrAP//AB8BFQFeAsEBBwIoAAABGgAJsQABuAEasDMrAP//ABsBFgFhAsUBBwIpAAABGgAJsQADuAEasDMrAP//AB4BFgFaAsUBBwIqAAABGgAJsQACuAEasDMrAP//AB4BFgFeAsUBBwIhAAABGgAJsQACuAEasDMrAP//AEwBGgFWAsMBBwIiAAABGgAJsQABuAEasDMrAP//ACQBGgFdAsUBBwIjAAABGgAJsQABuAEasDMrAP//AB4BFgFQAsUBBwIkAAABGgAJsQABuAEasDMrAP//ABcBFgFvAsQBBwIlAAABGgAJsQACuAEasDMrAP//ACkBFgFbAsEBBwImAAABGgAJsQABuAEasDMrAP//ACIBFgFeAsUBBwInAAABGgAJsQACuAEasDMrAP//AB8BFQFeAsEBBwIoAAABGgAJsQABuAEasDMrAP//ABsBFgFhAsUBBwIpAAABGgAJsQADuAEasDMrAP//AB4BFgFaAsUBBwIqAAABGgAJsQACuAEasDMrAAAB/3X/7wFAAtIADwATQBAAAQEcSwAAAB0ATCYgAgcWKwYjIiY1NDcBNjMyFhUUBwFNGQ8WCAF2DxkPFgj+ihEWEA8NAocaFhAPDf15AP//AEz/7wOOAtIAIgIsAAAAIwI/AXwAAAADAiMCMQAA//8ATP/vA6AC0gAiAiwAAAAjAj8BfAAAAAMCJQIxAAD//wAe/+8DoALSACICLgAAACMCPwF8AAAAAwIlAjEAAAABABkBYAGrAsYAMwBbQAopAQQFDwEBAAJKS7AJUFhAGQIBAQAAAW8IBwIEAwEAAQQAZgYBBQUWBUwbQBgCAQEAAYQIBwIEAwEAAQQAZgYBBQUWBUxZQBAAAAAzADIkJSQlJCUkCQcbKwAWFRQGJycXFhUUBiMiJycHBiMiJjU0NzcHBiY1NDYXFycmNTQ2MzIXFzc2MzIWFRQHBzcBlxQUEm47BhcPFAoyMwkVDxgHO24SExMSbjsHFw8VCjMyChQPFwY7bgI4Fg8PFgEFXAoKDxUUYWITFA8KCl0FARYPDxYBBVwKCw8UFGJiFBUPCQtcBQAAAf/0/74BNALyABEAEUAOAAABAIMAAQF0JyQCBxYrAyY1NDYzMhYXExYVFAYjIiYnCQMaEQ0WBeoDGhENFgUCugkHERcPEP0jCQcRFw8QAAABADcAygC2AUsACwAeQBsAAAEBAFcAAAABXwIBAQABTwAAAAsACiQDBxUrNiY1NDYzMhYVFAYjXCUlGxskJBvKJBwcJSUcHCQAAAEAUQBYAbsBuwAPAB5AGwAAAQEAVwAAAAFfAgEBAAFPAAAADwAOJgMHFSs2JiY1NDY2MzIWFhUUBgYj1lQxL1MzMFMyMVMxWC9RMS5SMi9RMjBRMAAAAgA3//sAtgHyAAsAFwBuS7ALUFhAFwQBAQEAXwAAAB9LAAICA18FAQMDIANMG0uwDVBYQBcEAQEBAF8AAAAfSwACAgNfBQEDAx0DTBtAFwQBAQEAXwAAAB9LAAICA18FAQMDIANMWVlAEgwMAAAMFwwWEhAACwAKJAYHFSsSJjU0NjMyFhUUBiMCJjU0NjMyFhUUBiNcJSUbGyQkGxslJRsbJCQbAXEkHBwlJRwcJP6KJBwcJSUcHCQAAQA3/4YAtgB8ABMAJUAiDQEAAQFKAgEBAAABVwIBAQEAXwAAAQBPAAAAEwASJQMHFSs2FhUUBwYjIiY1NDc2NyYmNTQ2M5MjOQwODRIJHAgZISQafCwrVT4MEQwKCx0oAiIaHCUAAwA3//sCkgB8AAsAFwAjAGdLsAtQWEASBAICAAABXwgFBwMGBQEBIAFMG0uwDVBYQBIEAgIAAAFfCAUHAwYFAQEdAUwbQBIEAgIAAAFfCAUHAwYFAQEgAUxZWUAaGBgMDAAAGCMYIh4cDBcMFhIQAAsACiQJBxUrFiY1NDYzMhYVFAYjMiY1NDYzMhYVFAYjMiY1NDYzMhYVFAYjXCUlGxskJBvSJCQcGyQkG9IkJBwbJCQbBSQcHCUlHBwkJBwcJSUcHCQkHBwlJRwcJAACADf/+wC2AsYADQAZAHa2CQMCAQABSkuwC1BYQBcEAQEBAF8AAAAWSwACAgNfBQEDAyADTBtLsA1QWEAXBAEBAQBfAAAAFksAAgIDXwUBAwMdA0wbQBcEAQEBAF8AAAAWSwACAgNfBQEDAyADTFlZQBIODgAADhkOGBQSAA0ADCUGBxUrNiYnAyY2MzIWBwMGBiMGJjU0NjMyFhUUBiNrEgEeAyMdHCMDHgEQDRslJRsbJCQbvhIPAagcIyMc/lgQEcMkHBwlJRwcJAACADf/RwC2AfIACwAZADNAMBUPAgMCAUoEAQEBAF8AAAAfSwACAgNfBQEDAxkDTAwMAAAMGQwYExEACwAKJAYHFSsSJjU0NjMyFhUUBiMCJjcTNjYzMhYXExYGI1wlJRsbJCQbHCIDHAESDAwSARwEIh0BcCUcHCUlHBwl/dciHQGHEBESD/54HCIAAAIAHv/7AjoCyQBLAE8AvEAMQTYCCAkbEAICAQJKS7ALUFhAJwwKAggOEA0DBwAIB2YRDwYDAAUDAgECAAFlCwEJCRxLBAECAiACTBtLsA1QWEAnDAoCCA4QDQMHAAgHZhEPBgMABQMCAQIAAWULAQkJHEsEAQICHQJMG0AnDAoCCA4QDQMHAAgHZhEPBgMABQMCAQIAAWULAQkJHEsEAQICIAJMWVlAIkxMAABMT0xPTk0ASwBKRkQ/PTo5NDIkISQlIxUjJCESBx0rAQczMhYVFAYjIwcGBiMiJjU0NzcjBwYGIyImNTQ3NyMiJjU0NjMzNyMiJjU0NjMzNzY2MzIWFRQHBzM3NjYzMhYVFAcHMzIWFRQGIwc3IwcB1itXEBQUEGUeAhMNEBUBG5EfAhMNEBQBGzgQFBQQRStcEBQUEGodAhMNERQBGpEdAhMNEBUBGjMQFBQQtSuQLAHT3RUPDhObDA8UEAYEiJsMDxQQBgSIFQ8OE90VDw4TlgwPFBEGA4OWDA8UEAYEgxUPDhPd3d0AAQA3//sAtgB8AAsARUuwC1BYQAwAAAABXwIBAQEgAUwbS7ANUFhADAAAAAFfAgEBAR0BTBtADAAAAAFfAgEBASABTFlZQAoAAAALAAokAwcVKxYmNTQ2MzIWFRQGI1wlJRsbJCQbBSQcHCUlHBwkAAL//f/7Aa4CyQAmADIAnUuwC1BYQCYAAQADAAEDfgYBAwQAAwR8AAAAAl8AAgIcSwAEBAVfBwEFBSAFTBtLsA1QWEAmAAEAAwABA34GAQMEAAMEfAAAAAJfAAICHEsABAQFXwcBBQUdBUwbQCYAAQADAAEDfgYBAwQAAwR8AAAAAl8AAgIcSwAEBAVfBwEFBSAFTFlZQBQnJwAAJzInMS0rACYAJSYjKggHFys2JjU0Njc2NjU0JiMiBgcGIyImNTQ3NjYzMhYWFRQGBgcGBgcGBiMGJjU0NjMyFhUUBiPHESooIB84LypJLRQNDxMTKnM5OlszGSUgKS0FAhENGyQkHBskJBu+FBE7UjEmOSImLCEhDBkSGBAlKyhJLyU9LyMsRCsND8MkHBwlJRwcJAACABT/RQHFAfIACwAyAD9APAACAQQBAgR+AAQDAQQDfAYBAQEAXwAAAB9LAAMDBWAHAQUFGQVMDAwAAAwyDDErKSYkGRcACwAKJAgHFSsSJjU0NjMyFhUUBiMCJjU0NjY3NjY3NjYzMhYVFAYGBwYGFRQWMzI2NzYzMhYVFAcGBiPRJCQbHCQkHGlvGSQfKi4FAhIMDhEXIRsfHzgwKUktFQwPExMpcjoBcCUcHCUlHBwl/dVXRiM4KRwmPiwNDxQRKT8rHB8xISUrISANGRIYECUq//8APAGhAXYCxgAiAlEAAAADAlEAzAAAAAEAPAGhAKoCxgAPAB9AHAQBAQABSgIBAQEAXwAAABYBTAAAAA8ADiYDBxUrEicnJjU0NjMyFhUUBwcGI1cFFQEfGRkdARMGHAGhIb8FCBoeHBoKBb8hAAACADf/hgC2AfIACwAfAC9ALBkBAgMBSgUBAwACAwJjBAEBAQBfAAAAHwFMDAwAAAwfDB4TEQALAAokBgcVKxImNTQ2MzIWFRQGIxYWFRQHBiMiJjU0NzY3JiY1NDYzXCUlGxskJBscIzkMDg0SCRwIGSEkGgFxJBwcJSUcHCT1LCtVPgwRDAoLHSgCIhocJQAB//T/vgE0AvIAEQAYQBUOBQIAAQFKAAEAAYMAAAB0JyECBxYrFgYjIiY1NDcTNjYzMhYVFAcDQhYNERoD6gUWDREaA+ozDxYSBwkC3RAPFhIHCf0jAAEAAP/BAfQAAAANACaxBmREQBsAAAEBAFUAAAABXQIBAQABTQAAAA0ACzQDBxUrsQYARBYmNTQ2MyEyFhUUBiMhFhYWEgGkEhYWEv5cPxINDhISDg0SAAABAFcAxQDVATkACwAeQBsAAAEBAFcAAAABXwIBAQABTwAAAAsACiQDBxUrNiY1NDYzMhYVFAYjeSIiHRwjIh3FIBobHx8bGiAAAAEAJP9MAXACwQAxADVAMikBAQIBSgACAAEFAgFnAAQEA10AAwMUSwYBBQUAXQAAABkATAAAADEALzQ1JCU0BwcZKwQWFRQGIyMiJjU1NCYnJiY1NDY3NjY1NTQ2MzMyFhUUBiMjIgYVFRQGBxYWFRUUFjMzAVgYGBJINDkeJhQVFRQmHjk0SBIYGBInFhUtHx8tFRYnZhQTExQ6NdQoJQIBFhIRFgECJSjUNToUExMUFRfULDkHBzos1BcVAAABAAD/TAFLAsEALwA1QDIaAQAFAUoGAQUAAAIFAGcAAwMEXQAEBBRLAAICAV0AAQEZAUwAAAAvAC40OjQ1JAcHGSsAFhUUBgcGBhUHFAYjIyImNTQ2MzMyNTU0NjcmJjU1NCMjIiY1NDYzMzIWFRUUFhcBNhUVFCUdATk1SBIXGBEoKy0fHy0rKBEYFxJINTkdJgEuFhESFgECJCnUNToUExMULNQsOgcHOSzULBQTExQ6NdQpJAIAAQBs/0wBSwLBAB0AJUAiAAEBAF0AAAAUSwACAgNdBAEDAxkDTAAAAB0AGzU0NQUHFysWJjURNDYzMzIWFRQGIyMiBhURFBYzMzIWFRQGIyOlOTk0SBIYGBInFhUVFicSGBgSSLQ6NQKXNToUExMUFRf9fxcVFBMTFAABAAD/TADfAsEAGwAlQCIAAQECXQACAhRLAAAAA10EAQMDGQNMAAAAGwAZNDM0BQcXKxYmNTQ2MzMyNRE0IyMiJjU0NjMzMhYVERQGIyMXFxgRKCsrKBEYFxJINTk5NUi0FBMTFCwCgSwUExMUOjX9aTU6AAEAZv9HASECyAAXABNAEAAAABxLAAEBGQFMLCUCBxYrNjU0NzY2MzIWFRQHBhUUFxYVFAYjIiYnZmsJGA0PEwRPTwQUDg0YCSne3ccODxEPCwm/zs2/CQsOEg8OAAABACv/RwDlAsgAFwATQBAAAQEcSwAAABkATCwhAgcWKxYGIyImNTQ3NjU0JyY1NDYzMhYXFhUUB3IYDQ8TBE9PBBQODRgJamqqDxEPCwm/zc6/CQsOEg8Oxd/gwwAAAQAAAOsD6AEqAA0AHkAbAAABAQBVAAAAAV0CAQEAAU0AAAANAAs0AwcVKzYmNTQ2MyEyFhUUBiMhFhYWEgOYEhYWEvxo6xINDhISDg0SAAABAAAA6wH0ASoADQAeQBsAAAEBAFUAAAABXQIBAQABTQAAAA0ACzQDBxUrNiY1NDYzITIWFRQGIyEWFhYSAaQSFhYS/lzrEg0OEhIODRIAAAEAPQDrAhsBKgANAB5AGwAAAQEAVQAAAAFdAgEBAAFNAAAADQALNAMHFSs2JjU0NjMhMhYVFAYjIVIVFRIBkBIVFRL+cOsSDQ4SEg4NEgAAAQAAAOsD6AEqAA0AHkAbAAABAQBVAAAAAV0CAQEAAU0AAAANAAs0AwcVKzYmNTQ2MyEyFhUUBiMhFhYWEgOYEhYWEvxo6xINDhISDg0SAAABAD0A4gFwATMADQAeQBsAAAEBAFUAAAABXQIBAQABTQAAAA0ACzQDBxUrNiY1NDYzMzIWFRQGIyNVGBgX1RcYGBfV4hUTExYWExMVAP//AD0A4gFwATMAAgJgAAD//wA9AOIBcAEzAAICYAAA//8ANgBSAZ0BwgAiAmUAAAADAmUAwQAA//8ANQBSAZgBwgAiAmYAAAADAmYAwQAAAAEANgBSANwBwgAVAB9AHA0KAgEAAUoAAAEBAFcAAAABXwABAAFPKiYCBxYrNyY1NDc3NjMyFhUUBwcXFhUUBiMiJ0AKCk8OGA8YBT8/BRYQGA7rEg0NEYMXFQ8IDIGADAgPFBYAAAEANQBSANcBwgAVAB5AGwcBAAEBSgABAAABVwABAQBfAAABAE8qIAIHFis2IyImNTQ3NycmNTQ2MzIXFxYVFAcHdRoPFwU/PwUXDxgOTAoKTFIUDwsJgIEJDA8UF4MOEA8Qg///ADf/hgFoAHwAIgJsAAAAAwJsALIAAP//ADcB0AFoAscAIgJqAAAAAwJqALIAAP//ADcB0AFoAsYAIgJrAAAAAwJrALIAAAABADcB0AC2AscAEwAvtRMBAAEBSkuwC1BYQAsAAAABXwABARwATBtACwAAAAFfAAEBFgBMWbQlJAIHFisSFhUUBiMiJjU0NzYzMhYVFAcGB5YgIxoeJDoMDQ0TCRwIAk0iGhwlLStWPQwRDQoLHSgAAQA3AdAAtgLGABMAH0AcDQEAAQFKAAAAAV8CAQEBFgBMAAAAEwASJQMHFSsSFhUUBwYjIiY1NDc2NyYmNTQ2M5MjOQwODRIJHAgZISQaAsYsK1U+DBEMCwodKAIiGhwlAAABADf/hgC2AHwAEwAlQCINAQABAUoCAQEAAAFXAgEBAQBfAAABAE8AAAATABIlAwcVKzYWFRQHBiMiJjU0NzY3JiY1NDYzkyM5DA4NEgkcCBkhJBp8LCtVPgwRDAoLHSgCIhocJQABADn/iAI8AzkANQBFQEIdFQIDAQ8HAgAEAkoAAgMFAwIFfgYBBQQDBQR8AAEAAwIBA2cABAAABFcABAQAXwAABABPAAAANQA0JCMqLCoHBxkrJBYVFAcGBgcVFAYjIiY1NSYmNTQ2NzU0NjMyFhUVFhYXFhUUBiMiJyYmIyIGFRQWMzI2NzYzAioSEh5WLxcTEhh1hYR1FxMTFy5VIRISDQ8RJ0cpXWhoXSxHJBIOmhkSFxEfKAZGFBgZE0cRvJmXvRFHFBgYFEYGKB8PGRIZDSEfkIODkSAgDQAAAQBX/4gB/AJkADYARUBCHRUCAwEPBwIABAJKAAIDBQMCBX4GAQUEAwUEfAABAAMCAQNnAAQAAARXAAQEAF8AAAQATwAAADYANSQkKSwqBwcZKyQWFRQGBwYHFRQGIyImNTUmJjU0Njc1NDYzMhYVFRYXFhUUBiMiJicmJiMiBhUUFjMyNjc2NjMB6hIPEi9GFxMTGFZkZVUYExMXQjIgEg4JFQsaKh5ES0tEHiwZCxYJfBcRDhYNIAhHFBgZE0oPhGNihxFLExgYE0cGIRYdERcLBxARXFJSWRIPBwoAAQAm/4gCTwM7AFEAT0BMUE4IAwIAPgEDBDQyKAMFAwNKAAQBAwEEA34ABwUGBQcGfgAGBoIAAgEAAlcIAQAAAQQAAWcAAwMFXwAFBR0FTC4qJCYjJCMqIQkHHSsANjMyFhUUBwcXFhUUBiMiJyYmIyIGFRQWMzI2NzYzMhYVFAcGBiMiJwcGBiMiJjU0NzcmJwcGBiMiJjU0NzcmNTQ2Njc3NjYzMhYVFAcHFhc3Ag8UCw0UBDEQEhINDxEnRyldaGhdLEckEg4NEhIlaTklJSUGFAsNFAQlIxwsBhQLDRQEPS5Ce1QiBhQLDRQEGSkfLAMsDhMPCwl8Dg8ZEhkNIR+Qg4ORICANGRIXESUqCFsODxMPCwlbEh1tDw8TDwoJmld+ap1aBlUPDxMQCwk/CA9vAAACAFQAIAIFAdEANgBGAQhLsBFQWEAWHhcTAwYAJiIJBQQHBjMvKQIEAwcDShtLsBVQWEAWHhcTAwYAJiIJBQQHBjMvKQIEBAcDShtAFh4XEwMGASYiCQUEBwYzLykCBAQHA0pZWUuwEVBYQBcIAQcFBAIDBwNjAAYGAF8CAQIAABcGTBtLsBVQWEAjCAEHAAQDBwRnAAYGAF8CAQIAABdLBQEDAwBfAgECAAAXA0wbS7AXUFhAJAAAAQMAVwIBAQAGBwEGZwgBBwAEAwcEZwIBAQEDXwUBAwEDTxtAJAIBAAEDAFcAAQAGBwEGZwgBBwAEAwcEZwIBAAADXwUBAwADT1lZWUAQNzc3RjdFJxMkHyQjLwkHGys2JjU2NzcmNTQ3JyYmNTQ2MzIXFzYzMhc3NjYzMhYXFAYHBxYVFAcXFhcGBiMmJycGIyInBwYjPgI1NCYmIyIGBhUUFhYzYw8BCCksKiQGBhIKCgwlNE1MNiUFDQUKEAEFBiYrLCUMAQETCwgLKDNMRzglDA7sQiIiQi4uQiIiQi4hEgwJCCg2TEg3JQYLCAoQDCUmJiUFBhAKBwoHJTVKSjgiDw0MDgELJyUkJA5EKUUoJ0UrK0YmJ0UqAAABACf/iAIuAzkARABCQD8sJAIFAwoCAgACAkoABAUBBQQBfgABAgUBAnwAAwAFBAMFZwACAAACVwACAgBfAAACAE86ODUzKSciKiUGBxcrJAYHFRQGIyImNTUmJicmNTQ2MzIXFjMyNjU0JiYnLgI1NDY3NTQ2MzIWFRUWFhcWFRQGIyInJiYjIgYVFBYWFx4CFQIucV0XExMXPG8nExMODhRgYkpRK0E5S15DdWAXExMXM10kFBQODhQrTjVFUi5EO0laQHNsDEcUGBgURQUnIg4aEhkNQTw3ISkYDhMmUEJRcQtGFBgYFEYFJyEQGBEaDSEgQDclLhkOEiVLQAAAAwA3/3ECTALGAC4AOgBIAMy2HA4CCQgBSkuwC1BYQC8MBwIFBAEAAwUAZw4BCwAKCwphAAYGFksACAgDXwADAx9LDQEJCQFfAgEBASABTBtLsA1QWEAvDAcCBQQBAAMFAGcOAQsACgsKYQAGBhZLAAgIA18AAwMfSw0BCQkBXwIBAQEdAUwbQC8MBwIFBAEAAwUAZw4BCwAKCwphAAYGFksACAgDXwADAx9LDQEJCQFfAgEBASABTFlZQCA7Oy8vAAA7SDtGQj8vOi85NTMALgAtIyQjJiUjJA8HGysAFhUUBiMjERQGIyImNTUGBiMiJiY1NDY2MzIWFzUjIiY1NDYzMzU0NjMyFhUVMwI2NTQmIyIGFRQWMxYWFRQGIyEiJjU0NjMhAjgUFA8tHBYWHBVQMThdNjZcOTBQFXEPFBQPcR0VFh0t1URDOjpERDrNFBQP/osPFBQPAXUCaxMPDhL+AxgZGRgoLC46clJRcjgtK44SDg8TLxQYGBQv/d9ZU1RYWlBQXpcTDw4SEg4PEwAAAQAI//gCUALJAEwAV0BUAAYHBAcGBH4OAQ0BDAENDH4IAQQJAQMCBANnCgECCwEBDQIBZQAHBwVfAAUFHEsADAwAXwAAAB0ATAAAAEwAS0dFREI+PDg2ISMmIiQkJCImDwcdKyQWFRQHBgYjIiYnIyImNTQ2MzMmNTQ3IyImNTQ2MzM2NjMyFhcWFRQGIyInJiYjIgczMhYVFAYjIwYVFBczMhYVFAYjIxYzMjY3NjYzAj0TEyxpM2aFFEsPFBQPQwEBQw8UFA9LFIVmM2sqExMOEREoRiaBHI0PFBQPlAEBlA8UFA+NHIEiRC4LDgmaGRIZDyYpg3gUDg8TDhwcDhMPDxN4gignDxkSGQ0jHaUTDw8TDR0dDRMPDhSmHyEHBgABABz/RwI8AsUALwA1QDIIAQcHBl8ABgYWSwQBAQEAXQUBAAAXSwADAwJfAAICGQJMAAAALwAtMyQjNDMkIwkHGysABgcHMzIWFRQGIyMDBgYjIyImNTQ2MzMyNjcTIyImNTQ2MzM3NjYzMzIWFRQGIyMB0jAKCV0PFBQPa14SaEoUFxgbFw8oMQpcXA8UFA9qChJoSxQXGBwXDwJ0LTEsEw4PEv5KV1QXEBAaLTEBshIPDhMwV1QWEBEaAAEAQ//7AlcCwQAwAI61LQEBBQFKS7ALUFhAIAAFAAEABQFlAAQEA10AAwMUSwgHAgYGH0sCAQAAIABMG0uwDVBYQCAABQABAAUBZQAEBANdAAMDFEsIBwIGBh9LAgEAAB0ATBtAIAAFAAEABQFlAAQEA10AAwMUSwgHAgYGH0sCAQAAIABMWVlAEAAAADAALyMRIzUjEysJBxsrABYVFAYHBgYVFRQGIyImNREjERQGIyImNRE0NjMhMhUUBiMhFTM1NDYzMhYVFTY2MwI/GBofNDUcFRUbrxsWFhsbFwFPMBgY/uGvHBQSGRNDKAHxExUaEwQFTDjkFxkYGAER/vMZGx0XAmAXGysUFtsxFxkZFjUxMgAAAQAv/4gCMwM5ADwAS0BIHhYCAwEzAQQFEAgCAAQDSgACAwYDAgZ+AAEAAwIBA2cHAQYABQQGBWUABAAABFcABAQAXwAABABPAAAAPAA6IiQjKiwrCAcaKwAWFRUUBgcGBxUUBiMiJjU1JiY1NDY3NTQ2MzIWFRUWFhcWFRQGIyInJiYjIgYVFBYzMjc1IyImNTQ2MzMCExcTHDpDFxMTF3aFhHUYEhMXLVYiEhMNDxAoSSddZ2ZcNzxpEhYWEpwBdhYT6yIeCRcIRhQYGBRHEbyZl7wRSBMZGBRGBSchEBgSGQ0iHpCDg5MXxhUSEhUAAQAI//sCNgLGADEAc0AKIAEDBAgBAAICSkuwC1BYQBcGAQMHAQIAAwJoBQEEBBZLAQEAACAATBtLsA1QWEAXBgEDBwECAAMCaAUBBAQWSwEBAAAdAEwbQBcGAQMHAQIAAwJoBQEEBBZLAQEAACAATFlZQAskJSUjJCMlJAgHHCslFhUUBiMiJwERFAYjIiY1ESMiJjU0NjMzETQ2MzIWFREBNjMyFhUUBwczMhYVFAYjIwImEBsSFRH+6xwWFhw/DxQVDj8cFhYcARUTFREaEO3VDxQUD9RNERQSGxQBJP78GRsbGQEQEw8OEwEQGRsbGf79ASIUGhIUEfITDg8TAAEAJAAAAj0CyQBGAFBATQAHCAUIBwV+CQEFCgEEAwUEZwsBAwwBAgEDAmcACAgGXwAGBhxLDg0CAQEAXQAAABUATAAAAEYARURCPjw7OTUzJCYjJCEkISMzDwcdKyQWFRQjISI1NDYzMzUjIiY1NDYzMzUjIiY1NDYzMzU0NjMyFhcWFRQGIyImJyYmIyIGFRUzMhYVFAYjIxUzMhYVFAYjIxUhAiQZMf5JMRkYNEIPFBQPQkIPFBQPQm1ePHApFBQOCRAJLUwoMDmWDxQUD5aWDxQUD5YBHVUWFCsrFBaeFA4PE1QTDw4UOFlpKyURFxIZBwYiIDo7MRQODxNUEw8OFJ4AAQA1//gCPQLGAEEAXUBaLiUdAwUDLxQCAgU4EwoDAQI5AQYHCQEABgVKAAUDAgMFAn4AAgEDAgF8AAEHAwEHfAgBBwYDBwZ8BAEDAxZLAAYGAF8AAAAdAEwAAABBAEAnKCUoKCQmCQcbKyQWFRQHBgYjIicRBwYjIiY1NDc3NQcGIyImNTQ3NzU0NjMyFhUVNzYzMhYVFAcHFTc2MzIWFRQHBxEWMzI2NzY2MwIpFBMrd0RXUzAICw4UElMwCAsOFBJTHBcYHIUKBw8UEaiFCgcPFBGoJiEwSjcLDwibGRIYECcpHAEvHAUWDRMKMFccBRYNEwowWhkbGxkfTQUWDhIKYVdNBRYOEgph/toLHCUHBgAAAQAx//oCKQM5ACsAPUAJKyMVDQQBAwFKS7ALUFhADwADAAEAAwFnAgEAAB0ATBtADwADAAEAAwFnAgEAACAATFm2KSkpJQQHGCsAFhIVFAYjIiY1NCYmJxEUBiMiJjURDgIVFAYjIiY1NBI2NzU0NjMyFhUVAZpcMx0WFh0ZMCYWEhIWJTAYHBcXHDJbRBYUFBYCuIH+5O0ZGxsZ0vRvDv70EhgYEgELD3D0zxkbGxnuARuADUkTGRkTSAABAAj/+wJQAsYAPwD7QAoNAQYHLQEBAAJKS7ALUFhAJAwLAgQDAQABBABnCAEHBxZLCgEFBQZfCQEGBhdLAgEBASABTBtLsA1QWEAkDAsCBAMBAAEEAGcIAQcHFksKAQUFBl8JAQYGF0sCAQEBHQFMG0uwD1BYQCIJAQYKAQUEBgVnDAsCBAMBAAEEAGcIAQcHFksCAQEBIAFMG0uwFVBYQCQMCwIEAwEAAQQAZwgBBwcWSwoBBQUGXwkBBgYXSwIBAQEgAUwbQCIJAQYKAQUEBgVnDAsCBAMBAAEEAGcIAQcHFksCAQEBIAFMWVlZWUAWAAAAPwA+PTs3NSUjJCEkIyUjJA0HHSsAFhUUBiMjFRQGIyInAxEUBiMiJjU1IyImNTQ2MzM1IyImNTQ2MzM1NDYzMhcTETQ2MzIWFRUzMhYVFAYjIxUzAjwUFA9AHBYfDcwYFBUXQA8UFA9AQA8UFA9AHBYgDMwYFBQYQA8UFA9AQAE4Ew8PE8UZGyABz/5AFhkZFsoTDw8TVBMPDxPCGRsg/iIBzxYZGRbHEw8PE1QAAgBN//kEhgLBAG8AeADKtkQLAgALAUpLsBVQWEBGAAcFDwUHD34ADQIQAg0QfgAKAwsDCgt+EQEQAAMKEANlAA8PBV0ABQUUSw4JAgICBl0MCAIGBhdLAAsLAF8EAQIAACAATBtATgAHBQ8FBw9+AA0CEAINEH4ACgMLAwoLfhEBEAADChADZQAPDwVdAAUFFEsADg4MXwAMDB9LCQECAgZdCAEGBhdLAAsLAF8EAQIAACAATFlAIHBwcHhwd3Z0amhjYlxaT01KSD07IyMiNSMkFRglEgcdKwAWFhUUBiMiJicmJxYVFAYnJyYmNTUjIicGBiMjFRQGIyImNRE0NjMzMhYXMzM1NDYzMhYVFTMyFhUUBiMjFRQWFxcWFyY1NDYzMhcWFjMyNjU0JicmJjU0NjYzMhYXFhUUBiMiJicmJiMiBhUUFhckNjU0JiMjETMEHEkhalksUyAQBAMfHhtRUDkHAxF3VkcbGBYcHBd5ZnsEAzkbFxccWhYXFxZaJygcFQsGEg4PGxw1Ji8zMkVTTi9WOCZKHSETDQcUCxswISgxLT/9XUZFRENDAQskNSlAUBYUCgcHCxQVAgIGV1XrAVBYxBgcHRcCYBcbcGlnFxoaF2cVEhMU8i8sAwIDCQwNERUREBMkHR4dDxJAOipEKBUUFxwQFgkHEBMlHhwdDyxHTU9F/tgAAgAI//sCUALBADgAQQC9S7ALUFhALggBBgkBBQQGBWcNCgIEAwEADAQAZw4BDAABAgwBZQALCwddAAcHFEsAAgIgAkwbS7ANUFhALggBBgkBBQQGBWcNCgIEAwEADAQAZw4BDAABAgwBZQALCwddAAcHFEsAAgIdAkwbQC4IAQYJAQUEBgVnDQoCBAMBAAwEAGcOAQwAAQIMAWUACwsHXQAHBxRLAAICIAJMWVlAHDk5AAA5QTlAPz0AOAA3MzEiMyQhJCMjIiQPBx0rABYVFAYjIwYGIyMVFAYjIiY1ESMiJjU0NjMzNSMiJjU0NjMzNTQ2MzMyFhczMhYVFAYjIxYVFAczBjY1NCYjIxEzAjwUFA9HGmpLRxwXFhxADxQUD0BADxQUD0AbGHlNahlGDxQUDzQDAzTVQ0NFREQBsBMPDxM5QMQZGxsZAT0TDw8TVBMPDxNHFxtAORMPDxMTFhYVakdNTkb+2AACAAj/+wJBAsEALQA1AJtLsAtQWEAlCQEGCwgCBQAGBWcEAQADAQECAAFnAAoKB10ABwcUSwACAiACTBtLsA1QWEAlCQEGCwgCBQAGBWcEAQADAQECAAFnAAoKB10ABwcUSwACAh0CTBtAJQkBBgsIAgUABgVnBAEAAwEBAgABZwAKCgddAAcHFEsAAgIgAkxZWUAVAAA1MzAuAC0ALDMkISQjIyQhDAccKxMVMzIWFRQGIyMVFAYjIiY1NSMiJjU0NjMzNSMiJjU0NjMzETQ2MzMyFhUUBiMnMzI1NCYjI9CSDxQUD5IcFxYcPw8VFQ8/Pw8VFQ8/Gxi3cHx9b4ZznUxMeAErUxMPEBNkGRsbGWQUDw8TUxMPDxMBIBcbbV1fbUR/Q0AAAAEAC//5Ak0CwQA+AAazMhEBMCsAFhUUBiMjBgYHFhYXFxYVFAYjIicnJiYjIyImNTQ2MzMyNyEiJjU0NjMhJiMjIiY1NDYzITIWFRQGIyMWFzMCORQUD0YFYFAYKxh2DB4UGhGeGzEpYBgZGRiuiQz+rw8UFA8BTBh4vA8UFA8B/A8UFA96IwxLAikTDw8TTGAMCCQfnRAPEhsW0yUcFhQUFm4TDw8TVBMPDxMTDw8THjYAAAEAJAAAAj0CyQA0AD5AOwAFBgMGBQN+BwEDCAECAQMCZwAGBgRfAAQEHEsKCQIBAQBdAAAAFQBMAAAANAAzJCMkJiMkISMzCwcdKyQWFRQjISI1NDYzMzUjIiY1NDYzMzU0NjMyFhcWFRQGIyImJyYmIyIGFRUzMhYVFAYjIxUhAiQZMf5JMRkYNEIPFBQPQm1ePHApFBQOCRAJLUwoMDmWDxQUD5YBHVUWFCsrFBbqFA4OFIRZaSslERcSGQcGIiA6O30UDg4U6gABAAj/+QJQAsoASQEDQAsOAQYHNy8CAQACSkuwC1BYQCUNDAIEAwEAAQQAZQkIAgcHHEsLAQUFBl8KAQYGF0sCAQEBIAFMG0uwDVBYQCUNDAIEAwEAAQQAZQkIAgcHFksLAQUFBl8KAQYGF0sCAQEBIAFMG0uwD1BYQCMKAQYLAQUEBgVoDQwCBAMBAAEEAGUJCAIHBxZLAgEBASABTBtLsBVQWEAlDQwCBAMBAAEEAGUJCAIHBxZLCwEFBQZfCgEGBhdLAgEBASABTBtAIwoBBgsBBQQGBWgNDAIEAwEAAQQAZQkIAgcHFksCAQEBIAFMWVlZWUAYAAAASQBIR0VBPzw6JiMkISQjJiMkDgcdKwAWFRQGIyMHBgYjIiYnAwMGBiMiJicnIyImNTQ2MzMnIyImNTQ2MzMnJjYzMhYXExM2NjMyFhcTEzY2MzIWBwczMhYVFAYjIwczAjwUFA9LHQIUDQ0UA1JSAhUNDRQCHUsPFBQPQgs3DxQUDy4bAxoSDxcCMUkDEw0NFAJJMQIXDxIaAxsuDxQUDzcLQgE4Ew8PE9oQEREQAdv+JRARERDaEw8PE1QTDw8TyBUaExL+SwG9DxERD/5DAbUSExoVyBMPDxNUAAEAC//7AkwCxwA7AI61OgEBAAFKS7ALUFhAIAkBAQgBAgMBAmUHAQMGAQQFAwRlCgEAABZLAAUFIAVMG0uwDVBYQCAJAQEIAQIDAQJlBwEDBgEEBQMEZQoBAAAWSwAFBR0FTBtAIAkBAQgBAgMBAmUHAQMGAQQFAwRlCgEAABZLAAUFIAVMWVlAEDg2MS8hJCMjJCEkJSALBx0rADMyFhUUBwczMhYVFAYjIxUzMhYVFAYjIxUUBiMiJjU1IyImNTQ2MzM1IyImNTQ2MzMnJjU0NjMyFxMTAggVEh0MwHgPFBQPmZkPFBQPmRwXFx2YDxQUD5iYDxQUD3nBDR0SFQ/OzgLGHRMSDfETDw8TVBMPDxN7GRsbGXsTDw8TVBMPDxPyEBATHBP++gEGAAEA7QDKAWwBSwALAAazBAABMCskJjU0NjMyFhUUBiMBESQkHBskJBvKJBwcJSUcHCQAAQCM/74BzALyABEABrMKAQEwKxYGIyImNTQ3EzY2MzIWFRQHA9oWDREaA+oFFg0RGgPqMw8WEgcJAt0QDxYSBwn9IwABADgAKQIgAhEAHwAsQCkABAMBBFcGBQIDAgEAAQMAZQAEBAFfAAEEAU8AAAAfAB4jJCMjJAcHGSsAFhUUBiMjFRQGIyImNTUjIiY1NDYzMzU0NjMyFhUVMwIKFhYQqRUQEBWpEBYWEKkVEBAVqQFCFRAQFakQFhYQqRYPEBWpEBYWEKkAAAEAOAD4AiABQgANAAazBAABMCs2JjU0NjMhMhYVFAYjIU4WFhABnBAWFhD+ZPgWEA8VFhAPFQAAAQBRAEICBwH4ACcAIEAdJx0TCQQAAgFKAQEAAAJfAwECAh8ATCQsJCUEBxgrJRYVFAcGIyInJwcGIyInJjU0NzcnJjU0NzYzMhcXNzYzMhcWFRQHBwH7CwwKDRANmpoMEBALCgybmwsLCg8QDJqaCxERCgoMm4ILDxAMCg2amgwLCg4QDJubDQ4QCwoMmpoLCwoOEAybAAADAD4AIgImAhkACwAZACUAQEA9AAAGAQECAAFnAAIHAQMEAgNlAAQFBQRXAAQEBV8IAQUEBU8aGgwMAAAaJRokIB4MGQwXExAACwAKJAkHFSsAJjU0NjMyFhUUBiMGJjU0NjMhMhYVFAYjIRYmNTQ2MzIWFRQGIwEWHR0WFh0dFtgWFhABnBAWFhD+ZLIdHRYWHR0WAbAeFxYeHhYXHrgWEA8VFhAPFdYeFhYeHhYWHgD//wA+AJQCJgGmACYCjAZkAQYCjAacABGxAAGwZLAzK7EBAbj/nLAzKwAAAQA+ABoCJgIgADMABrMiCAEwKyQWFRQGIyMHBiMiJjU0NzcjIiY1NDYzMzcjIiY1NDYzMzc2MzIWFRQHBzMyFhUUBiMjBzMCEBYWEOUpCxcRFAMdZxAWFhCGNLoQFhYQ2CkLFxEUAx10EBYWEJM0x94WEA8VYhgUDwgJRhYQDxV+FhAPFWIYFA8ICUYWEA8VfgABADgANQIgAgUAFwA0tQ4BAAEBSkuwHVBYQAsAAAABXwABAR8ATBtAEAABAAABVwABAQBfAAABAE9ZtConAgcWKwAWFRQGBwUGIyImNTQ3JSUmNTQ2MzIXBQIMFBQR/nsNChEWFQF4/ogVFxEJDQGFAUwcExMdB6wFFRAVCqSjChURFQWsAAEAOAA1AiACBQAXADS1FgEAAQFKS7AdUFhACwAAAAFfAAEBHwBMG0AQAAEAAAFXAAEBAF8AAAEAT1m0KiMCBxYrJBUUBiMiJyUmJjU0NjclNjMyFhUUBwUFAiAWEQoN/nsRFBQRAYUNCREXFf6IAXhvFRAVBawHHRMTHAisBRURFQqjpAAAAgA4AAACJgIIABgAJgAItR0ZFAkCMCs2NjclJSYmNTQ2MzIXBRYWFRQHBQYjIiY1BBYVFAYjISImNTQ2MyE4CwoBbv6SCgsWEgsLAYURFCX+ewsLEhYB2BYWEP5kEBYWEAGcuxEDe3sDEQsQFASGBhwTKgqFBBQQZhYQDxUWEA8VAAIAOAAAAiYCCAAYACYACLUdGRQGAjArEjU0NjclNjMyFhUUBgcFBRYWFRQGIyInJQQWFRQGIyEiJjU0NjMhOBQRAYULCxIWCwr+kgFuCgsWEgsL/nsBsxYWEP5kEBYWEAGcAR8qExwGhgQUEAsRA3t7AxELEBQEhcsWEA8VFhAPFQACADgAAAImAhEAHwAtADhANQIBAAgFAgMEAANlAAEABAcBBGcJAQcHBl0ABgYVBkwgIAAAIC0gKyckAB8AHiMkIyMkCgcZKxImNTQ2MzM1NDYzMhYVFTMyFhUUBiMjFRQGIyImNTUjBBYVFAYjISImNTQ2MyFOFhYQqRYQDxWpEBYWEKkWEA8VqQGyFhYQ/mQQFhYQAZwBJBYQEBR9EBYWEH0WEA8VfRAWFhB92hYQDxUWEA8V//8ARwBwAh0BywAmApcGZAEGApcGnAARsQABsGSwMyuxAQG4/5ywMysAAAEAQQDUAhcBZwAnAEKxBmREQDcABAIAAgQAfgABAwUDAQV+AAIAAAMCAGcAAwEFA1cAAwMFXwYBBQMFTwAAACcAJhIkKCIkBwcZK7EGAEQkJicmJiMiBwYjIicmJjU0NzY2MzIWFxYWMzI3NjMyFxYWFRQHBgYjAX08JyAnESYZDhIKCAcJBhQ8JR88JyMkESUaDhIICgcJBhU7JdQXFREPIBMFBA8JCgkhJRcVEg8hEwUEEAgLCSEkAAEAOACRAiABqQASACRAIQMBAgAChAABAAABVQABAQBdAAABAE0AAAASABE0IwQHFiskJjU1ISImNTQ2MyEyFhUVFAYjAeoU/ogQFhYQAZwQFhYQkRYQqBYQDxUWEMwQFgAAAwAE//sCVAKQACUALwA5AAq3NjAvJxAAAzArFiY3Njc3JiY1NDY2MzIXNzYzMhYVFAYHBxYWFRQGBiMiJwcGBiMBJiMiBgYVFBYXFjY2NTQmJwEWM0ESAQETJzA3TohTVEg6DA8MEBICLSswUIdQTEUpDBAKAVU2Pz9oPCUi2Wg9IB3+8DA7BRYLCxcyJ28/S4JPLEwPEgwLGQM5J2o8TIJMJTUQEAIIHzplPjBVHjo5ZT8sTx/+ohkAAwAoAIcCMAGxABcAIQArAAq3JiIaGAQAAzArABYVFAYjIiYnBgYjIiY1NDYzMhYXNjYzBjcmIyIGFRQWMyA2NTQmIyIHFjMB50lJPyNDFhZDIz9JST8jQxYWQyO3ISA/ISYmIQETJiYhPiEhPgGxU0JDUiUpKSVSQ0JTJSkpJetXVTElJTExJSUxVVcAAAEAcP9HAegCxgAdAAazDAABMCsWJjU0NjMzMjY1ETQ2MxcyFhUUBiMjIgYVERQGIyOGFhYRDykqYVMVEBYXEQ8qKWBUFLkZEREXLTACJFdVARgREhcsMf3cV1QAAQA1AAAC3wLKADUABrMrBAEwKyQWFRQGIyMiJjU0NzY2NTQmIyIGFRQWFxYVFAYjIyImNTQ2MzMuAjU0NjYzMhYWFRQGBgczAsUaGRfFFRkNZEl9b299SmMNGRXEFxoaF4ZNTB5TmmhnmlQfTUqGVRYUFBcYExMUm5o5VWBgVTqbmRQTExgXFBMXanxYL1B4QEF4TzBcfmMAAAEANQAAAt8CygA1AAazKwQBMCskFhUUBiMjIiY1NDc2NjU0JiMiBhUUFhcWFRQGIyMiJjU0NjMzLgI1NDY2MzIWFhUUBgYHMwLFGhkXxRUZDWRJfW9vfUpjDRkVxBcaGheGTUweU5poZ5pUH01KhlUWFBQXGBMTFJuaOVVgYFU6m5kUExMYFxQTF2p8WC9QeEBBeE8wXH5jAAABADj/RwIgAsEAFwAGswUAATArFiY1ETQ2MyEyFhURFAYjIiY1ESERFAYjUxsbFAGKFBsbFRQa/tQaFbkbFAMcFBsbFPzkFBsbFAL2/QoUGwAAAQAh/0wCKQLBACEABrMRBAEwKwQWFRQGIyEiJjU0NxMDJjU0NjMhMhYVFAYjIRMWFRQHAyECERgYGP5XFhkN/v4NGRYBqRgYGBj+qtoTE9oBVl4WFRUWGRMUEQFqAWkRFBMZFhUVFv7LGRYVGv7KAAEABv89Ai8CzgAbAAazEgABMCsEJicDIyImNTQ2MzMyFhcTEzY2MzIVFAcDBgYjAQcZCH48EBYWEFoMEwNyyQQTDCkD2wgYFcMZHAGGFhAPFQ4L/pMC9w0OIQgL/NoeGQAAAQBE/0cB8gHyACgAeUAKCgEEAw8BAAQCSkuwC1BYQBgGBQIDAx9LAAQEAF8BAQAAIEsAAgIZAkwbS7ANUFhAGAYFAgMDH0sABAQAXwEBAAAdSwACAhkCTBtAGAYFAgMDH0sABAQAXwEBAAAgSwACAhkCTFlZQA4AAAAoACclJSQlJQcHGSsAFhURFAYjIiY1NQYGIyInFRQGIyImNRE0NjMyFhURFBYzMjY1NTQ2MwHXGxwXFRoXUTIrIhwXFxscFxcbMTE5SRwXAfIaF/5pFhkZFSYqLBGTFhoZFQJMFhsbFv79PTZLQOsWGwACAC7/8AIgAv8AHAAoAAi1IR0FAAIwKwAWFhUUBiMuAjU0NjYzMhcmJiMjIiY1NDc2NjMSNjU0JiMiBhUUFjMBMZJdhHhHb0A/az9nNQ+AYRMRGCoHGAqLUVM+QFJSPwL/VMWgqa0BPnhTU3k+TH92FhAhCAEC/URmW1JbYlhUYAAABQAy/+8DeALSAA8AGwAnADMAPwDIS7AXUFhAKwAGAAgFBghoCwEFCgEDCQUDZwAEBAFfAgEBARxLDQEJCQBfDAcCAAAdAEwbS7AdUFhALwAGAAgFBghoCwEFCgEDCQUDZwAEBAFfAgEBARxLDQEJCQdfDAEHByBLAAAAHQBMG0AzAAYACAUGCGgLAQUKAQMJBQNnAAEBHEsABAQCXwACAhxLDQEJCQdfDAEHByBLAAAAHQBMWVlAJDQ0KCgcHBAQND80Pjo4KDMoMi4sHCccJiIgEBsQGiomIA4HFysEIyImNTQ3ATYzMhYVFAcBAiY1NDYzMhYVFAYjNjY1NCYjIgYVFBYzACY1NDYzMhYVFAYjNjY1NCYjIgYVFBYzAS4ZDxcIAXYPGQ8XCP6JrlxcUVJcXFIsKiosLCkpLAGZXFxSUV1cUiwpKissKiosERYRDg0ChxoWEQ4N/XkBEm5qam1tamttREdNTEZFTU1H/ppta2ptbWpqbkRHTUxHRk1NRwAHADL/7wUFAtIADwAbACcAMwA/AEsAVwDqS7AXUFhAMQgBBgwBCgUGCmgPAQUOAQMLBQNnAAQEAV8CAQEBHEsTDRIDCwsAXxEJEAcEAAAdAEwbS7AdUFhANQgBBgwBCgUGCmgPAQUOAQMLBQNnAAQEAV8CAQEBHEsTDRIDCwsHXxEJEAMHByBLAAAAHQBMG0A5CAEGDAEKBQYKaA8BBQ4BAwsFA2cAAQEcSwAEBAJfAAICHEsTDRIDCwsHXxEJEAMHByBLAAAAHQBMWVlANExMQEA0NCgoHBwQEExXTFZSUEBLQEpGRDQ/ND46OCgzKDIuLBwnHCYiIBAbEBoqJiAUBxcrBCMiJjU0NwE2MzIWFRQHAQImNTQ2MzIWFRQGIzY2NTQmIyIGFRQWMwAmNTQ2MzIWFRQGIyAmNTQ2MzIWFRQGIyQ2NTQmIyIGFRQWMyA2NTQmIyIGFRQWMwEuGQ8XCAF2DxkPFwj+ia5cXFFSXFxSLCoqLCwpKSwBmVxcUlFdXFIBO1xdUVJcXFL+nykqKywqKiwBuSoqLCwqKiwRFhEODQKHGhYRDg39eQESbmpqbW1qa21ER01MRkVNTUf+mm1ram1tampubmpqbW1qa21ER01MR0ZNTUdHTU1GRk1NRwAAAgA1/zgCJAL2ABcAGwAItRoYCgACMCsEJicDJjU0NxM2NjMyFhcTFhUUBwMGBiM1EwMDARocCL0EBL0IHBISHAi9BQW9CBwSrKysyBMRAaUJDQ0JAaURExMR/lsMCgoM/lsRE1gBhwGH/nkAAgARAAECgQJRAAkAEwAItQ8KBAACMCs3NyczNxczBxcnJzM1FzM1IxUnI4lGvuxKTe2/R8JCHFYWHFYWAeCQ4OCQ4Ic+U1OCU1MAAAIALv9mA3MCxwBLAFkA6UuwFVBYQAsnAQoDHxICBQoCShtACycBCgQfEgIFCgJKWUuwC1BYQDEACAEHAQgHfg0LAgUCAQEIBQFoAAcMAQkHCWMABgYAXwAAABxLAAoKA18EAQMDHwpMG0uwFVBYQDEACAEHAQgHfg0LAgUCAQEIBQFoAAcMAQkHCWMABgYAXwAAABZLAAoKA18EAQMDHwpMG0A1AAgBBwEIB34NCwIFAgEBCAUBaAAHDAEJBwljAAYGAF8AAAAWSwAEBBdLAAoKA18AAwMfCkxZWUAaTEwAAExZTFhTUQBLAEoiJiYpJiUkJiYOBx0rBCYmNTQ2NjMyFhYVFAYGIyImJyMGIyImNTQ2NjMyFhczNzY2MzIWFRQHBwYVFBYzMjY2NTQmJiMiBgYVFBYWMzI3NjMyFhUUBwYGIwI2NjU0JiMiBgYVFBYzAVnCaXDEeoG4XjlcNjU+BQI2X0RTNWA+LkQLAgYCFRAREwEmBB0fGjUkS5ZsZaBbVJ9sjlYPDg8TECuQWAJEIzMsLUIiMiiaasF9hshrZqlhX307LilXXlJFd0cqIiMOEBIQBwTYHgghHSthTFCIU1mpcmugV0sMFQ8SDSkxARk5XDI1ODhZMDc8AAADAC7/+AKZAsgAKQA1AD8AR0BELwEDBDk4KCAeHREHCAUDAkoAAwQFBAMFfgYBBAQCXwACAhxLBwEFBQBfAQEAAB0ATDY2Kio2PzY+KjUqNCorJCMIBxgrJBUUBiMiJycGBiMiJiY1NDY3JiY1NDYzMhYVFAYHFzY3NjYzMhYHBgcXAAYVFBYXNjY1NCYjEjY3JwYGFRQWMwKZGhERDVgudEBDajtOUSkoZlBMWkFHnSAHARsREhkCCTdi/n8xHiI6LywkFlUhuz41Sz8yEBEZDVkxNC5VOEFmLixLKUlWT0Q3VSufQl0VFxkWfF1jAkAvJxwzJSQ3ISMr/ckoJ7slRy01PAAAAQAp/0cCAgLBABwAKkAnAAADAgMAAn4AAwMBXQABARRLBQQCAgIZAkwAAAAcABsTJTYTBgcYKwQmNREiJiY1NDY2MzMyFhURFAYjIiY1ESMRFAYjAQwWPV0zM14+4xEWFhAQF3MWELkWEQG7NFw8PFw0FhH81BAXFhEDDvzyERYAAAIAJv9FAf8CyAA/AE8APEA5SUEiAgQBBAFKAAQFAQUEAX4AAQIFAQJ8AAUFA18AAwMcSwACAgBfAAAAGQBMNjQwLigmJRYmBgcXKyQGBxYVFAYjIicmJjU0NjMyFhcWFjMyNjU0JicnJiY1NDY3JjU0NjMyFxYWFRQGIyImJyYmIyIGFRQWFxcWFhUGFzY1NCYnJyYnBhUUFhcXAf8fHRRuYGtCEQ8SDggVCx87LTI3JixrTUQfHBNwX1k9Eg8TDQkVCxwvIjQ5JixqTkSLHBIuNGgvFBMuNWimRBkiLlRgKwsYDxAVCQYREzEtJDAWMiVUPCVFGSIsUmIoDRgPEBYKBxESMS0jMRYzJlQ6MxcbICI1GzUZERwgITUbNQADADL/+wL9AsYADwAfAEYAaLEGZERAXQAFBggGBQh+AAgHBggHfAAAAAIEAAJnAAQABgUEBmcABwwBCQMHCWcLAQMBAQNXCwEDAwFfCgEBAwFPICAQEAAAIEYgRT89OTc0Mi4sJiQQHxAeGBYADwAOJg0HFSuxBgBEBCYmNTQ2NjMyFhYVFAYGIz4CNTQmJiMiBgYVFBYWMyYmNTQ2MzIXFhYVFAYjIiYnJiYjIgYVFDMyNjc2NjMyFhUUBgcGIwE0pF5epGRko15epGNWi1BQi1ZWjFBQjFZWcHFdTzYJBxAOCRECGCYZOTpzGSYYAhEJDhAHCTVQBV+jZGSjXl6jZGSjXzJRjVZWjFFRjFZWjVFcdWNjdCsGDwsOGAgBDxBHR48QDwEIGA4LDwYrAAQAMv/7Av0CxgAPAB8AQQBKAGixBmREQF0+AQUJAUoGAQQFAwUEA34KAQEAAgcBAmcABwAICQcIZQwBCQAFBAkFZwsBAwAAA1cLAQMDAF8AAAMAT0JCEBAAAEJKQklIRjk2MS8sKiYkEB8QHhgWAA8ADiYNBxUrsQYARAAWFhUUBgYjIiYmNTQ2NjMSNjY1NCYmIyIGBhUUFhYzNxYVFAYjIicnJiYjIxUUBiMiJjURNDYzMzIWFRQGBxYWFyY2NTQmIyMVMwH8o15epGNkpF5epGRWi1BQi1ZWjFBQjFazChwSGRBOChcSJxkUFBoXFI1HTzcyEhsPTiMjJlNTAsZeo2Rko19fo2Rko179Z1GNVlaMUVGMVlaNUZoNDBAWFncPDnsWGBgWAVEVF0M9MUAJBBUUahsgIBt2AAACAAABFwNPAsUAIwA2AAi1KyQFAAIwKwAWFREUBiMiJjU1BwYGIyImJycVFAYjIiY1ETQ2MzIXFzc2MwQVFCMjERQGIyImNREjIjU0MyEDNhkYERAZVQgUDg0TCFYZERAZGhIaEXt7ERn+VCxiGhQUG2EsLAEgAsUYFf6tFhgYFtSjEA4OEKDRFhgYFgFTFRgf6uofBCcl/s8VGBgVATElJwACACMBoQFKAsYADwAbADixBmREQC0AAAACAwACZwUBAwEBA1cFAQMDAV8EAQEDAU8QEAAAEBsQGhYUAA8ADiYGBxUrsQYARBImJjU0NjYzMhYWFRQGBiM2NjU0JiMiBhUUFjOORCcnRCkpQycnQykkLy8kJDAwJAGhJkMpKkMmJkMqKUMmOzEmJjExJiYxAAABAFf/RwC2AsYADQAZQBYAAAAWSwIBAQEZAUwAAAANAAwlAwcVKxYmNRE0NjMyFhURFAYjcxwbFRQbGhW5GxUDHxUbGxX84RUbAAIAV/9HALYCxgANABsALEApBAEBAQBfAAAAFksAAgIDXwUBAwMZA0wODgAADhsOGhUTAA0ADCUGBxUrEiY1NTQ2MzIWFRUUBiMCJjU1NDYzMhYVFRQGI3McHBQUGxoVFBwbFRQbGxQBbhsV+BUbGxX4FRv92RsV+BUbGxX4FRsAAgBu//EBxwLGACgAMwAItS8pEAACMCsEJjU1BwYjIicmNTQ3NzU0NjMyFhUUBgcHFRQzMjc2MzIXFxYVFAcGIwI3NjY1NCYjIhUVAP8+HAwPDAgICklGPTQ5PTscORomBwoRBwUDDjw9Iw8eJBISLQ9NO18iDQkICgsMUfFQWUAvR3xKJJpMHAUQCwYHDgsvAZQVK1wmFR1ZmwAAAQAUAKUBOgLJAB8AJ0AkAwEBBAEABQEAZQYBBQUCXwACAhwFTAAAAB8AHiQjIyQjBwcZKzYmNREjIiY1NDYzMzU0NjMyFhUVMzIWFRQGIyMRFAYjlxZHEBYWEEcWEBEVRxAWFhBHFhClFhABRRYPDBBSERUVEVIVEAwQ/rsQFgABABQApQE6AskAMQA1QDIFAQMGAQIBAwJlBwEBCAEACQEAZQoBCQkEXwAEBBwJTAAAADEAMCQhJCMjJCEkIwsHHSs2JjU1IyImNTQ2MzM1IyImNTQ2MzM1NDYzMhYVFTMyFhUUBiMjFTMyFhUUBiMjFRQGI5cWRxAWFhBHRxAWFhBHFhARFUcQFhYQR0cQFhURRxYQpRYQUhUQCxC0FRAMEFERFRURURUQDBC0Fg8MD1IQFgACADL/+wNMAsYAGwAsAAi1IxwGAAIwKwQmJjU0NjYzMhYWFSEiFRUUFxYWMzI2NzMGBiMTMjU1NCcmJiMiBgcGFRUUMwFGtV9htHeQskz9fQUHKHxOUXw2Rz6Sd/UFCi6EQ0B8MgkFBV+gX1+oZm2qZAasFQgwMTY1SUIBbwa8Dgw3Ki0yCRK9BgAEAFL/+wQtAsYAGwAnADMAQQDyQAoJAQYHFwEACAJKS7ALUFhAKQ0BCQAIAAkIZQwBBwcCXwQKAwMCAhZLCwEFBQZfAAYGF0sBAQAAIABMG0uwDVBYQCkNAQkACAAJCGUMAQcHAl8ECgMDAgIWSwsBBQUGXwAGBhdLAQEAAB0ATBtLsCNQWEApDQEJAAgACQhlDAEHBwJfBAoDAwICFksLAQUFBl8ABgYXSwEBAAAgAEwbQCcABgsBBQkGBWcNAQkACAAJCGUMAQcHAl8ECgMDAgIWSwEBAAAgAExZWVlAJDQ0KCgcHAAANEE0Pzs4KDMoMi4sHCccJiIgABsAGiUlJQ4HFysAFhURFAYjIicBERQGIyImNRE0NjMyFwERNDYzEiY1NDYzMhYVFAYjJgYVFBYzMjY1NCYjEhYVFAYjIyImNTQ2MzMCeRwdFRsN/ngcFRYaHBYYEAGHHBXjUVFKSlFRSiIjIyIiJCQihBgYGNUXGBgX1QLGGxn9nRgcFAIJ/hcZGxsZAmMZGxT9+QHnGBz+z1VEQ1VVQ0RV7SspKSssKCkr/rEWExMVFRMTFgABAEQAjQIVAnUAGAAhsQZkREAWBwEAAgFKAAIAAoMBAQAAdCclIwMHFyuxBgBEJBUUBiMiJwMDBgYjIiY1NDcTNjYzMhYXEwIVGA8UCaWlBA8KDhgErggcEhIcCK66CBAUEwF4/ogKChYQCgkBjBATExD+dAAAAQA8AaEAqgLGAA8AH0AcBAEBAAFKAgEBAQBfAAAAFgFMAAAADwAOJgMHFSsSJycmNTQ2MzIWFRQHBwYjVwUVAR8ZGR0BEwYcAaEhvwUIGh4cGgoFvyEA//8APAGhAXYCxgAiAlEAAAADAlEAzAAAAAL+2QJX//sCxAALABcAMrEGZERAJwIBAAEBAFcCAQAAAV8FAwQDAQABTwwMAAAMFwwWEhAACwAKJAYHFSuxBgBEACY1NDYzMhYVFAYjMiY1NDYzMhYVFAYj/vkgIBkYISAZmCAgGBkgIBkCVx4ZGB4eGBkeHxgYHh4YGR4AAAH/KwJU/6kCxwALACaxBmREQBsAAAEBAFcAAAABXwIBAQABTwAAAAsACiQDBxUrsQYARAImNTQ2MzIWFRQGI7MiIh0cIyIdAlQgGhofHxoaIAAB/rYCI/+EAvcADwAZsQZkREAOAAABAIMAAQF0JiQCBxYrsQYARAEmNTQ2MzIXFxYVFAYjIif+zhgaExsTbAcRCwsIAqEUFxIZGo0ICgsQBwAAAf9QAiMAHgL4AA8AGbEGZERADgABAAGDAAAAdCYgAgcWK7EGAEQCIyImNTQ3NzYzMhYVFAcHiQsLEQdsFBoTGhiHAiMQCwoIjRsaEhcUdwAC/xICIgAMAvkADgAdAB2xBmREQBIDAQEAAYMCAQAAdCUmJSAEBxgrsQYARAIjIiY3NzY2MzIWFRQHBxYjIiY3NzY2MzIWFRQHB8YPCw4DJwUYDxAWB0Z3DwsOAycFGA8QFgdGAiIRDZEUFBQRDQ6JDhENkRQUFBENDokAAf9qAfj/uwLHAA8AL7UMAQABAUpLsAtQWEALAAAAAV8AAQEcAEwbQAsAAAABXwABARYATFm0JSECBxYrAgYjIiY1NTQ2MzIWFRQHB2QOCgoQGBARGAEcAgIKDguMFBYUEggEiQAAAf7cAiT/+AL3ABcAIbEGZERAFhYBAAEBSgABAAGDAgEAAHQnJyADBxcrsQYARAIjIiY1NDc3NjYzMhYXFxYVFAYjIicnB+0UDhUIWgoUDg4UCloIFQ4TDExMAiQUDgsLgQ0NDA6BCwsOFBJ4eAAB/twCI//4AvcAFwAnsQZkREAcCwECAAFKAQEAAgCDAwECAnQAAAAXABYkJwQHFiuxBgBEAiYnJyY1NDYzMhcXNzYzMhYVFAcHBgYjpBMLWggWDhINS0sNEg4WCFoKFA4CIw0OgAsMDhQTeHgTFA4MC4ENDQAAAf7HAkIADQLbABcANLEGZERAKRIBAQABSgIBAAEAgwABAwMBVwABAQNfBAEDAQNPAAAAFwAWIiImBQcXK7EGAEQCJicmNTQ2MzIXFjMyNzYzMhYVFAcGBiPMVxMDFA0VCyBCQiALFg0TAxNXNgJCODAJBw4TFT09FRIPBwkwOAAC/wICKf/SAvQACwAXADixBmREQC0AAAACAwACZwUBAwEBA1cFAQMDAV8EAQEDAU8MDAAADBcMFhIQAAsACiQGBxUrsQYARAImNTQ2MzIWFRQGIzY2NTQmIyIGFRQWM8E9PSsrPT0rFBsbFBQbGxQCKTsqKzs7Kyo7NB0UFB0dFBQdAAAB/sgCTAAMAtAAJQBhsQZkREuwLVBYQBsAAwABA1cEAQIAAAECAGcAAwMBXwYFAgEDAU8bQCIABAIDAgQDfgADAAEDVwACAAABAgBnAAMDAV8GBQIBAwFPWUAOAAAAJQAkJCQlJCQHBxkrsQYARAImJyYmIyIGBwYGIyImNTQ2NjMyFhcWFjMyNjc2NjMyFhUUBgYjYSQZFBsMERMJBwsICw0XKRoTJRgZFwsREwkHCwgLDRcpGgJMERANDREPCwwQDRMvIRIQDwsRDwsMEA0SLyEAAAH+yQJqAAsCsAANACaxBmREQBsAAAEBAFUAAAABXQIBAQABTQAAAA0ACzQDBxUrsQYARAAmNTQ2MzMyFhUUBiMj/t8WFhLyEhYWEvICahMQERISERATAAAB/xcCI//XAvYAIQAssQZkREAhEwEBAgFKAAABAIQAAgEBAlcAAgIBXwABAgFPKCohAwcXK7EGAEQCBiMiJjU0Njc2NjU0JiMiBwYmNTQ2NzYzMhYVFAYHBgYHeBILDBEUEgwMFBIVGw4RCgkeJTI4FRUREQICMQ4RDxQdEAsQCQsNCQQQDAgOBA0oHhYcEg0TDgAAAv7IAiL/wgL5AA4AHQAdsQZkREASAgEAAQCDAwEBAXQlJiUkBAcYK7EGAEQBJjU0NjMyFhcXFgYjIic3JjU0NjMyFhcXFgYjIif+zwcXDw8YBScDDgsPBzgHFw8PGAUnAw4LDwcCuQ4NERQUFJENEQ6JDg0RFBQUkQ0RDgAAAf7HAkQADQLdABcALrEGZERAIwQBAAMBSgIBAAMAhAABAwMBVwABAQNfAAMBA08iJiYgBAcYK7EGAEQAIyImNTQ3NjYzMhYXFhUUBiMiJyYjIgf+/RYNEwMSWDY2VxMDEw0WCyBCQiACRBIOBwkxODgxCQcOEhU9PQAB/yoCQP+iAwQAFABXsQZkRLUPAQIBAUpLsA1QWEAYAAECAgFuAwECAAACVwMBAgIAYAAAAgBQG0AXAAECAYMDAQIAAAJXAwECAgBgAAACAFBZQAsAAAAUABMlJAQHFiuxBgBEAhYVFAYjIiY1NDc2MzIWFRQHBgczfiAfGB4jKQ0QCw8HFwMCAqYaFxgdJSU+Lg4MCQgKHBsAAf9pAbQAKwJyAAwAHrEGZERAEwwAAgBHAAEAAYMAAAB0IxECBxYrsQYARAM1MjY3NjMyFhUUBgeXOCsEBC0WFEpBAdgUJTIvFxk7TgUAAf8w/0D/pP+vAAsAJrEGZERAGwAAAQEAVwAAAAFfAgEBAAFPAAAACwAKJAMHFSuxBgBEBiY1NDYzMhYVFAYjsCAgGhkhIBrAHxkZHh8YGR8AAAL+2f9B//v/rgALABcAMrEGZERAJwIBAAEBAFcCAQAAAV8FAwQDAQABTwwMAAAMFwwWEhAACwAKJAYHFSuxBgBEBCY1NDYzMhYVFAYjMiY1NDYzMhYVFAYj/vkgIBkYISAZmCAgGBkgIBm/HhkYHh4YGR4fGBgeHhgZHgAB/zL++/+q/78AFABXsQZkRLUJAQABAUpLsA1QWEAYAAABAQBvAwECAQECVwMBAgIBXwABAgFPG0AXAAABAIQDAQIBAQJXAwECAgFfAAECAU9ZQAsAAAAUABMmJQQHFiuxBgBEBhYVFAcGIyImNTQ3NjcjIiY1NDYzeSMpDRALDwcXAwIXIB8YQSUlPi4ODAkIChwbGhcYHQAAAf8O/z7/4AAUAB8An7EGZES1HQECBQFKS7ANUFhAIQYBBQQCAQVwAAQDAQIBBAJnAAEAAAFXAAEBAGAAAAEAUBtLsB1QWEAiBgEFBAIEBQJ+AAQDAQIBBAJnAAEAAAFXAAEBAGAAAAEAUBtAKAYBBQQCBAUCfgADAgECA3AABAACAwQCZwABAAABVwABAQBgAAABAFBZWUAOAAAAHwAeEyEkJyQHBxkrsQYARAYWFRQGIyInJjU0NhcWMzI2NTQmIyIGIyImNzczBzYzSytAOyceEhEOHhoaHA8OCiIECA0BC0AIDQwpJCElLwsHEgwQBAgQEAwNCAsJXUADAAAB/tD/Pv+mACsAFwBdsQZkREuwE1BYtAYFAgBIG7QGBQIBSFlLsBNQWEATAQEAAgIAVwEBAAACXwMBAgACTxtAFgABAAGDAAACAgBXAAAAAl8DAQIAAk9ZQAsAAAAXABYTKwQHFiuxBgBEBiY1NDY3FwYGFRQWMzI3NjMyFhUUBwYj7UNJQw4oKSIaFBwEBwoMECQqwjsvMkgJIQkrIBwgCwIPChMJFAAB/sb/KAAN/78AFwA0sQZkREApEgEBAAFKAgEAAQCDAAEDAwFXAAEBA18EAQMBA08AAAAXABYiIiYFBxcrsQYARAYmJyY1NDYzMhcWMzI3NjMyFhUUBwYGI8xXEwQTDRUNIEJCIA0VDRIDElg22DcvDAUOEhU6OhUSDggJLzcAAAH+yf9WAAv/mQANACaxBmREQBsAAAEBAFUAAAABXQIBAQABTQAAAA0ACzQDBxUrsQYARAQmNTQ2MzMyFhUUBiMj/t8WFhLyEhYWEvKqERAQEhIQEBEAAf7JANcACwEWAA0AJrEGZERAGwAAAQEAVQAAAAFdAgEBAAFNAAAADQALNAMHFSuxBgBEJCY1NDYzMzIWFRQGIyP+3xYWEvISFhYS8tcRDg8REQ8OEQAC/tkDFP/7A4EACwAXACpAJwIBAAEBAFcCAQAAAV8FAwQDAQABTwwMAAAMFwwWEhAACwAKJAYHFSsAJjU0NjMyFhUUBiMyJjU0NjMyFhUUBiP++SAgGRghIBmYICAYGSAgGQMUHhgZHh8YGB4eGBgfHhkYHgAAAf8rAxD/qQOEAAsAHkAbAAABAQBXAAAAAV8CAQEAAU8AAAALAAokAwcVKwImNTQ2MzIWFRQGI7MiIh0cIyIdAxAgGhsfHxsaIAAB/swC+P+EA5sADwARQA4AAAEAgwABAXQWJAIHFisBJjU0NjMyFxcWFRQGIyIn/ugcGBEUE18JDwsIBwNJERgRGBNlCQoKDgQAAAH/UAL4AAgDmwAPABFADgABAAGDAAAAdCYgAgcWKwIjIiY1NDc3NjMyFhUUBweOCAsPCV8TFBEYHHMC+A4KCgllExgRGBFNAAL/FAL4ABEDmwAPAB8AHEAZFAQCAAEBSgMBAQABgwIBAAB0JiYmIAQHGCsCIyImNTQ3NzYzMhYVFAcHFiMiJjU0Nzc2MzIWFRQHB8oMCQ0DMQ0XDxgNR3QLCQ0DMQ0XDxgNSAL4DQoGBmUbFw8QDlUKDQoGBmUbFw8QDlUAAAH+3gL4//YDmgAVABlAFhQBAAEBSgABAAGDAgEAAHQmJiADBxcrAiMiJjU0Nzc2MzIXFxYVFAYjIicnB/IPDhMNVhIXFxJWDRQODgxQUAL4FA0ODVUREVUNDg0UDFZWAAH+3gL4//YDmgAVAB9AHAoBAgABSgEBAAIAgwMBAgJ0AAAAFQAUJCYEBxYrAicnJjU0NjMyFxc3NjMyFhUUBwcGI60SVg0TDg8MUFAMDw0UDVYSFwL4EVUNDg4TDFZWDBMODg1VEQAAAf7HAwgADQOMABcAJkAjAgEAAQCDAAEDAwFXAAEBA18EAQMBA08AAAAXABYiIiYFBxcrAiYnJjU0NjMyFxYzMjc2MzIWFRQHBgYjzFIVBhIMEw4jQUEjDhIMEwYUUzYDCCsoCwkMEREwMBERDAkLJywAAv8CAvj/0gPDAAsAFwAwQC0AAAACAwACZwUBAwEBA1cFAQMDAV8EAQEDAU8MDAAADBcMFhIQAAsACiQGBxUrAiY1NDYzMhYVFAYjNjY1NCYjIgYVFBYzwT09Kys9PSsUGxsUFBsbFAL4OysqOzsqKzs1HBUUHBwUFRwAAAH+yAMTAAwDggAkACxAKQADAAEDVwQBAgAAAQIAZwADAwFfBgUCAQMBTwAAACQAIyQjJSUjBwcZKwImJyYjIgYHDgIjIiY1NDY2MzIWFxYzMjY3NjYzMhYVFAYGI18lGSsVDxIIAgkJBQsOFykaESUZKxUPEggICgcLDhcpGgMUCwoRDAsCCQUQDBInGgsKEQwKCQcPDBInGgAB/skDJwALA20ADQAeQBsAAAEBAFUAAAABXQIBAQABTQAAAA0ACzQDBxUrACY1NDYzMzIWFRQGIyP+3xYWEvISFhYS8gMnExAREhIREBMAAAH/FwL4/9cDmgAhAEW1EwEBAgFKS7ALUFhAFgAAAQEAbwACAQECVwACAgFfAAECAU8bQBUAAAEAhAACAQECVwACAgFfAAECAU9ZtSgqIQMHFysCBiMiJjU0Njc2NjU0JiMiBwYmNTQ2NzYzMhYVFAYHBgYHeBALDBMVFA4KFBIWHQ0SCQgdKjA4FxYRDgIDAgoODRETCQcIBggKCAMQCwcNAwwjHBUVCggLCQAC/sMC+P/AA5sADwAfABVAEgIBAAEAgwMBAQF0JiYmJAQHGCsBJjU0NjMyFxcWFRQGIyInNyY1NDYzMhcXFhUUBiMiJ/7QDRgPGQsxAw0JCwk2DRcPGA0xAw0JDAkDVw4QDxcbZQcGCgwKVQ4QDxcbZQYGCg0KAAAB/scDBwANA4wAFwAgQB0CAQADAIQAAQMDAVcAAQEDXwADAQNPIiYmIAQHGCsAIyImNTQ3NjYzMhYXFhUUBiMiJyYjIgf++BIMEwYUUzY1UxUGEgwTDiNBQSMDBxENCgonLCsoDAkMEREwMAAB/yoC+P+hA5sAFQBIS7ARUFhAGAABAgIBbgMBAgAAAlcDAQICAGAAAAIAUBtAFwABAgGDAwECAAACVwMBAgIAYAAAAgBQWUALAAAAFQAUJiQEBxYrAhYVFAYjIiY1NDY3NjMyFhUUBwYHM3wdHhodIhUVCw8LDgkRBAUDUBgUExkgHhgxEgoMCQoJERIAAQBWAjMAzgL3ABUAV7EGZES1CgEAAQFKS7ANUFhAGAAAAQEAbwMBAgEBAlcDAQICAV8AAQIBTxtAFwAAAQCEAwECAQECVwMBAgIBXwABAgFPWUALAAAAFQAUJiYEBxYrsQYARBIWFRQGBwYjIiY1NDc2NyMiJjU0NjOsIhUTDRALDwcXAwIYICAYAvckJR84Fg4MCggKHBsZGBgcAAABAFYCQADOAwQAFABXsQZkRLUPAQIBAUpLsA1QWEAYAAECAgFuAwECAAACVwMBAgIAYAAAAgBQG0AXAAECAYMDAQIAAAJXAwECAgBgAAACAFBZQAsAAAAUABMlJAQHFiuxBgBEEhYVFAYjIiY1NDc2MzIWFRQHBgczriAfGB4jKQ0QCw8HFwMCAqYaFxgdJSU+Lg4MCQgKHBsAAf/1AmoBNwKwAA0AJrEGZERAGwAAAQEAVQAAAAFdAgEBAAFNAAAADQALNAMHFSuxBgBEEiY1NDYzMzIWFRQGIyMLFhYS8hIWFhLyAmoTEBESEhEQEwAB/+ICIwCwAvcADwAZsQZkREAOAAABAIMAAQF0JiQCBxYrsQYARAMmNTQ2MzIXFxYVFAYjIicGGBoTGxNsBxELCwgCoRQXEhkajQgKCxAHAAEALgIpAJYC9AANADCxBmREQCUAAAABAgABZwACAwMCVwACAgNfBAEDAgNPAAAADQANFBEUBQcXK7EGAEQSJjU0NjMVIgYVFBYzFWs9PSsUGxsUAik7Kis7NR0UFB00AAEAlgIpAP4C9AANACqxBmREQB8AAgABAAIBZwAAAwMAVwAAAANfAAMAA08UERQQBAcYK7EGAEQTMjY1NCYjNTIWFRQGI5YUGxsUKz09KwJdHRQUHTU7Kyo7AAEAfAIjAUoC+AAPABmxBmREQA4AAQABgwAAAHQmIAIHFiuxBgBEEiMiJjU0Nzc2MzIWFRQHB6MLCxEHbBQaExoYhwIjEAsKCI0bGhIXFHcAAQBz/u0Auf/BAA0AJrEGZERAGwAAAQEAVwAAAAFfAgEBAAFPAAAADQAMJQMHFSuxBgBEEiY1NTQ2MzIWFRUUBiOGExMQERISEf7tFhKEEhYWEoQSFgABAHMCIwC5AvcADQAmsQZkREAbAAABAQBXAAAAAV8CAQEAAU8AAAANAAwlAwcVK7EGAEQSJjU1NDYzMhYVFRQGI4YTExAREhIRAiMXEoMSFhYSgxMWAAEALgL4AJYDwwANAChAJQAAAAECAAFnAAIDAwJXAAICA18EAQMCA08AAAANAA0UERQFBxcrEiY1NDYzFSIGFRQWMxVrPT0rFBsbFAL4OysqOzUcFBUcNQABAJYC+AD+A8MADQAiQB8AAgABAAIBZwAAAwMAVwAAAANfAAMAA08UERQQBAcYKxMyNjU0JiM1MhYVFAYjlhQbGxQrPT0rAy0cFRQcNTsqKzv//wB8AiMBSgL4AAMCvAEsAAD////zAkIBOQLbAAMCwQEsAAD//wAIAiMBJAL3AAMCwAEsAAAAAQA6/z4BDAAUAB8An7EGZES1HQECBQFKS7ANUFhAIQYBBQQCAQVwAAQDAQIBBAJnAAEAAAFXAAEBAGAAAAEAUBtLsB1QWEAiBgEFBAIEBQJ+AAQDAQIBBAJnAAEAAAFXAAEBAGAAAAEAUBtAKAYBBQQCBAUCfgADAgECA3AABAACAwQCZwABAAABVwABAQBgAAABAFBZWUAOAAAAHwAeEyEkJyQHBxkrsQYARBYWFRQGIyInJjU0NhcWMzI2NTQmIyIGIyImNzczBzYz4StAOyceEhEOHhoaHA8OCiIECA0BC0AIDQwpJCElLwsHEgwQBAgQEAwNCAsJXUADAP//AAgCJAEkAvcAAwK/ASwAAP//AAUCVwEnAsQAAwK5ASwAAP//AFcCVADVAscAAwK6ASwAAP///+ICIwCwAvcAAwK7ASwAAP//AEACIgE4AvkAAwK9ASwAAP////UCagE3ArAAAwLEASwAAP////z/PgDSACsAAwLOASwAAP//AC4CKQD+AvQAAwLCASwAAP////QCTAE4AtAAAwLDASwAAAAC/scCIwANAyIADwAnADJALwABAgGDBAECAAKDAAADAIMAAwUFA1cAAwMFXwYBBQMFTxAQECcQJiIiLCYgBwcZKwIjIiY1NDc3NjMyFhUUBwcGJicmNTQ2MzIXFjMyNzYzMhYVFAcGBiORBwoNC1kSEw8VGm5BUxUGDwwQDydCQicNEgsQBhRTNgKLDQkMCloRFQ8ZD0dsKygMCQwPEDU1EA8MCQwnLAAC/scCIwANAyIADwAnADJALwAAAgCDBAECAQKDAAEDAYMAAwUFA1cAAwMFXwYBBQMFTxAQECcQJiIiKRYkBwcZKwEmNTQ2MzIXFxYVFAYjIicGJicmNTQ2MzIXFjMyNzYzMhYVFAcGBiP+8BoVDxMSWQsNCgcHKVMVBhALEA8nQkInDxALEAYUUzYC1hAYDhYRWgoMCQ0EbCsoDAkMDxA1NRAPDAkMJywAAAL+xwIjAA0DIwAfADcAbkuwDVBYQCgFAQMBAAEDAH4AAAQBAG4AAgABAwIBZwAEBgYEVwAEBAZfBwEGBAZPG0ApBQEDAQABAwB+AAAEAQAEfAACAAEDAgFnAAQGBgRXAAQEBl8HAQYEBk9ZQA8gICA3IDYiIi8nKSEIBxorAgYjIiY1NDY3NjU0JiMiBwYmNTQ3NjMyFhUUBgcGBgcGJicmNTQ2MzIXFjMyNzYzMhYVFAcGBiN5EQoMERcUFxUTFB8OEREdKjA4GBYQDwJTUxUGEAsQDydCQicPEAsQBhRTNgKVCQwNEREJCQgICAcBDgoQBgwiGhQTCgcKCHorKAwJDA8QNTUQDwwJDCcsAAL+yAIjAA0DIgAnAD8ASkBHCAEGAQcBBgd+BAECAAABAgBnAAMKBQIBBgMBZwAHCQkHVwAHBwlfCwEJBwlPKCgAACg/KD44NjQyMC4AJwAmJSQlJSQMBxkrAiYnJiYjIgYHDgIjIiY1NDY2MzIWFxYWMzI2Nz4CMzIWFRQGBiMGJicmNTQ2MzIXFjMyNzYzMhYVFAcGBiNgJRwRIAsPEggCCQkFCw4XKRoSJRwRIAsPEggCCQkFCw4XKRp9UxUFEQwRCydCQicLEgwRBhRTNgK+CwoHCgwLAgkFDgsPJBgLCgcKDAsCCQUPCw8jGJsrKAkKDA8ONTUODgwJCycsAAAC/t4CIwBhAyQADwAlAClAJiQBAgABSgABAwGDAAADAgMAAn4EAQICggADAxQDTCYmJiYgBQcZKwIjIiY1NDc3NjMyFhUUBwcGIyImNTQ3NzYzMhcXFhUUBiMiJycHGQgKDwdFERQRGRpZ4A4OFBBTFBUTFlMRFQ4LC1RTAowOCgoIWRUZERkQQWwUDREMTBAQTA0RDRQJU1IAAv7eAiMAGwMmAA8AJQArQCgKAQEDJAECAQJKAAEDAgMBAn4AAAQBAgACYwADAxQDTCYmIiYkBQcZKwMmNTQ2MzIXFxYVFAYjIicGIyImNTQ3NzYzMhcXFhUUBiMiJycHUQ0bERsLJQIOCg0K3g4OFBBTFBUTFlMRFQ4LC1RTAuAOEBEXHFsECAoNCnIUDREMTBAQTA0RDRQJU1IAAv7eAiMASwMjAB4ANABTtTMBAwABSkuwDVBYQBoAAAQDAQBwBQEDA4IAAgABBAIBZwAEBBQETBtAGwAABAMEAAN+BQEDA4IAAgABBAIBZwAEBBQETFlACSYmKScoIQYHGisCBiMiJjU0Njc2NTQjIgcGJjU0NzYzMhYVFAYHBgYHBiMiJjU0Nzc2MzIXFxYVFAYjIicnBwUQCgwSFxQXKA8kDhERISYwOBgWEA8C7g4OFBBTFBUTFlMRFQ4LC1RTApQJDQ0REQkJCA8GAg4KEAcMIhsTFAkHCgl4FA0RDEwQEEwNEQ0UCVNSAAAC/sgCIwAMAywAJQA7ADxAOToBBgcBSggBBgcGhAQBAgAAAQIAZwADCQUCAQcDAWcABwcUB0wAADg2MC4oJgAlACQkJSUkIwoHGSsCJicmIyIGBwYGIyImNTQ2NjMyFhYXFhYzMjY3NjYzMhYVFAYGIwYjIiY1NDc3NjMyFxcWFRQGIyInJwddKRQtFg8SCAgKBwsOFykaECEdBQUoDw8SCAgKBwsOFykapA4OFBBTFBUTFlMRFQ4LC1RTAsoMBxEMCggHDgsPIxcJCQICDgwKCAcOCw8jF6YUDREMTBAQTA0RDRQJU1IAAv7HAvgADQP3AA8AJwAyQC8AAQIBgwQBAgACgwAAAwCDAAMFBQNXAAMDBV8GAQUDBU8QEBAnECYiIiwmIAcHGSsCIyImNTQ3NzYzMhYVFAcHBiYnJjU0NjMyFxYzMjc2MzIWFRQHBgYjkQcJDgtZEhMPFRpuQlIVBg8MEA8oQUEoDxALEAYUUzYDXw0KDApaERUPGQ9IaysoDAkMDhA1NRAPDAkLJywAAv7HAvgADQP3AA8AJwAyQC8AAAIAgwQBAgECgwABAwGDAAMFBQNXAAMDBV8GAQUDBU8QEBAnECYiIikWJAcHGSsBJjU0NjMyFxcWFRQGIyInBiYnJjU0NjMyFxYzMjc2MzIWFRQHBgYj/vAaFQ8TElkLDgkHBylTFQYPDBAPKEFBKA8QCxAGFFM2A6sQGA4WEVoKDAoNBGsrKAwJDA4QNTUQDwwJCygrAAAC/scC+AANA/cAIAA4AG5LsA1QWEAoBQEDAQABAwB+AAAEAQBuAAIAAQMCAWcABAYGBFcABAQGXwcBBgQGTxtAKQUBAwEAAQMAfgAABAEABHwAAgABAwIBZwAEBgYEVwAEBAZfBwEGBAZPWUAPISEhOCE3IiIvJyohCAcaKwIGIyImNTQ2Nz4CNTQjIgcGJjU0NzYzMhYVFAYHBgYHBiYnJjU0NjMyFxYzMjc2MzIWFRQHBgYjeREKDBEXFAMNBygPJA0SER0qMDgYFhAPAlNTFQYPDBAPKEFBKA8QCxAGFFM2A2kJDA0REQkBBwYEDwYDDgsQBgwiGhQUCQcKCHkrKAwJDA4QNTUQDwwJCygrAAL+yAL4AA0D9gAlAD0AUEBNOAEHBgFKCAEGAQcBBgd+BAECAAABAgBnAAMKBQIBBgMBZwAHCQkHVwAHBwlfCwEJBwlPJiYAACY9Jjw2NDIwLiwAJQAkJCQlJCQMBxkrAiYnJiYjIgYHBgYjIiY1NDY2MzIWFxYWMzI2NzY2MzIWFRQGBiMGJicmNTQ2MzIXFjMyNzYzMhYVFAcGBiNgJRwRIAsPEggICgcLDhcpGhIlHBEgCw8SCAgKBwsOFykafVMVBREMEQsoQUEoCxIMEQYUUzYDkgsKBwoMCgkHDgsPJBgLCgcKDAoJBw4LDyMZmisoCQoMDg41NQ4ODAgLKCsAAAL+3gL4AGED+AAPACUAJUAiJAECAAFKAAEDAYMAAwADgwAAAgCDBAECAnQmJiYmIAUHGSsCIyImNTQ3NzYzMhYVFAcHBiMiJjU0Nzc2MzIXFxYVFAYjIicnBxkHCw8HRRAVERkaWeAODhQQUxQVExZTERUOCwtUUwNgDwoKCFkUGREZD0JrEw0RDE0QEE0NEA0UCVNSAAL+3gL4ABgD+AAPACUAJUAiJAECAQFKAAADAIMAAwEDgwABAgGDBAECAnQmJiImJAUHGSsDJjU0NjMyFxcWFRQGIyInBiMiJjU0Nzc2MzIXFxYVFAYjIicnB2gYGxEWDkIGDgsKCd4ODhQQUxQVExZTERUOCwtUUwOoERUQGhVbCQgKDQZtEw0RDE0QEE0NEA0UCVNSAAL+3gL4AEsD9wAgADYAZbU1AQMAAUpLsA1QWEAjAAQBAAEEAH4AAAMBAG4FAQMDggACAQECVwACAgFfAAECAU8bQCQABAEAAQQAfgAAAwEAA3wFAQMDggACAQECVwACAgFfAAECAU9ZQAkmJiknKiEGBxorAgYjIiY1NDY3PgI1NCMiBwYmNTQ3NjMyFhUUBgcGBgcGIyImNTQ3NzYzMhcXFhUUBiMiJycHBREKDBEXFAMNBygPJA4RER0qMDgYFhAPAu4ODhQQUxQVExZTERUOCwtUUwNpCQwNEREJAQcGBA8GAg4KEAYMIhoUEwoHCgh4Ew0RDE0QEE0NEA0UCVNSAAL+yAL4AAwD9gAlADsARkBDOgEGAQFKAAcAAQAHAX4IAQYBBoQAAwABA1cEAQIAAAcCAGcAAwMBXwkFAgEDAU8AADg2MC4oJgAlACQkJCUkJAoHGSsCJicmJiMiBgcGBiMiJjU0NjYzMhYXFhYzMjY3NjYzMhYVFAYGIwYjIiY1NDc3NjMyFxcWFRQGIyInJwdgJRwRIAsPEggICgcLDhcpGhIlHBEgCw8SCAgKBwsOFykapA4OFBBTFBUTFlMRFQ4LC1RTA5ILCgcKDAoJBw4LDyQYCwoHCgwKCQcOCw8jGZkTDREMTRAQTQ0QDRQJU1IAAAABAAADCQB5AAoAdQAFAAIAKAA5AIsAAACgDRYABAABAAAAbQBtAG0AbQDUAOAA7AD4AQgBFAEgASwBOAFEAVQBYAFsAXgBhAGQAZwBqAG0AcABzAJ0AxoD3QPpBG4EegTOBSMFLwU7BlwHrge6B8YIAAgQCGcIcwh7CIcIkwijCOkI9QkBCQ0J9QslCzELPQtNC1kLZQtxC30LiQuVC6ELrQu5C8UL0QvmC/sMewyHDOMNRw1TDV8Naw13DYMNjw3zDooOlg6iDq4O6Q71DwEPDQ8ZDyUPOg9GD1IPXg9qD3YPgg/XD+MQFRAhEHIQfhCsERQRIBEsETgRSRFVEWURcRHbEkgSVBKsErgSxBLQEtwS6BL0E2YTdhOCE44T0BPcE+gT9BQAFBAUHBQoFDQUQBRMFGEUdhSCFI4UmhUSFR4VKhU2FUIVThVaFWYVchWHFZwWExaGFpIWnhazFsgW3RcxF5QYBBhWGK4YuhjGGNIY3hjqGPYZAhlnGXMZiBmUGaka1xrjGu8a+xsHGxcbthwUHGEc1BzgHXwdiB2UHaAd2h3mHfId/h4KHhYeIh4uHjoehB6QHpweqB60HsAezB7YHuQe+R9tH3kfhR+aH94gPyBLIFcgYyBvINAhICEsITghRCFQIVwhaCF0IYAhjCHGIdIh3iHqIfYiCiKrIrciwyLPIt8i6yL3IwMjDyMbIycjNyNDI08jWyNnI3MjfyOLI5cjoyOvI7skaSR1JW0leSZJJlUmrycIJxQnIChFKZgppCmwKjEqrStLK/Er/SwJLBkscCx8LIgslC45LkUuUS5hLm0ueS6FLpEunS6pLrUuwS7NLtku5S76Lw8vpC+wMAswiTESMR4xKjE2MUIxTjFaMcMyUTJdMmkydTKBMrwyyDLUMuAy7DL4Mw0zGTMpMzUzQTNNM1kz4jPuM/o0LzQ7NJg0pDT7NTY1QjWbNac1tzXDNdM13zZMNs422jc9N0k3VDdgN2w3eDeEOAQ4FDggOCw4bTh5OIU4kTidOK04uTjFONE43TjpOP45EzkfOSs5NzmtObk5xTnROd056Tn1OgE6DToiOjc6tjsnOzM7PztUO2k7fjwwPIo85j1APZQ9oD2sPbg9xD3QPdw96D5PPls+cD58PpE/wz/PP9s/5z/zQANAokD7QXRB8kLVQuFC80L/QwtDbkN6Q4ZDkkOeQ6pDtkPCQ85EQkRORFpEZkRyRH5EikSWRKJEt0UxRT1FSUVeRaJGAEYMRhhGJEYwRo1GykbWRuJG7kb6RwZHEkceRypHNkd1R4FHjUeZR6VHuUg0SEBITEhYSGhIdEiASIxImEikSLBIwEjMSNhI5EjwSPxJCEkUSSBJLEk4SURJ00nfSrVKwUtYS2RLcEuETDNMfkyrTN9NLE1pTa1N6E4rTnxO6U9OT7lQIFBUULNRGlFsUb5R/1JFUpZTDFNVU8BUKFReVMRVLVU1VT1VRVVNVVVVXVVlVW1VdVV9VcdWBVZTVthXLlesWCVYb1jgWVlZaFmmWbVaH1ouWj1aTFpbWmpaeVqIWpdaplq1WsRa01riWvFbAFsPWzZbRltWW2Zb4FwIXC1cWFy1XOhdT121XftexV79X5Vf/2ALYDdgf2CqYNZg+2FaYbZh82ItYlxii2KzYttjA2MrY1JjWmNiY25jemOtY99j62P3ZANkO2RsZJ9kn2SfZJ9kn2SfZJ9lDWV8ZhZnAGeAaElo2mk4acNqO2q7az1rx2wlbPZt+26wb0RvnnADcO5xhHGdcb9yAnIecmpyw3LYcyFzZHOnc+h0KXSEdJl09nUndYR1y3X5dkZ2k3a8dvR3JXebd9x4nXmPecV563rae117nnwtfMR9Yn2zfft+IH5gfq5+7n9If42AZYCggMyA2IEXgUCBaYGRgc+CAoI5gnSCtIL2g2CDjIPWhBWEUoSfhMaE74UthXqF+YZNho2GuIbjhx6HQ4doh4yHy4f7iC+IaIimiPOJG4lxia2J44oqinmKxorxixmLSYt2i56LyYv0jCCMSYxSjFuMZIzjjOyM9Yz+jQeNEI0ZjSKNK400jYiN3Y5kjuSPMY9/j/WQaZC9kRKRmpIbkmaSsZMyk6sAAQAAAAMAAGssCo9fDzz1AAMD6AAAAADUDzBUAAAAANRI2UD+tv7tBRQEOwAAAAcAAgAAAAAAAAG7AFIAAAAAAQgAAAEIAAAC3gAZAt4AGQLeABkC3gAZAt4AGQLeABkC3gAZAt4AGQLeABkC3gAZAt4AGQLeABkC3gAZAt4AGQLeABkC3gAZAt4AGQLeABkC3gAZAt4AGQLeABkC3gAZAt4AGQLeABkC3gAZA+IACQPiAAkCpgBSAqUAOgKlADoCpQA6AqUAOgKlADoCpQA6AqUAOgLqAFIFLgBSAvwAAALqAFIC/AAAAuoAUgLqAFIE5ABSAkkAUgJJAFICSQBSAkkAUgJJAFICSQBSAkkAUgJJAFICSQBSAkkAUgJJAFICSQBSAkkAUgJJAFICSQBSAkkAUgJJAFICSQBSAkkAUgJJAFICSQBSAkkAUgJJAFICSQBSAjEAUgLYADoC2AA6AtgAOgLYADoC2AA6AtgAOgLYADoC+gBSAx4AAAL6AFIC+gBSAvoAUgELAFIBCwBSAQv/4gEL//kBC//eAQv/9AEL//QBCwBGAQsASwEL/+cBCwAyAQv/4gEL/+QBCwASAQv/4wFV//QBVf/0AoIAUgKCAFICIwBSA3gAUgIjAFICIwBSAiMAUgIjAFICIwBSAxUAUgIjAFICNQAAA0kAUwNJAFMC5wBSBDwAUgLnAFIC5wBSAucAUgLnAFIC5wBSAucAUgPZAFIC5wBSAucAUgMDADoDAwA6AwMAOgMDADoDAwA6AwMAOgMDADoDAwA6AwMAOgMDADoDAwA6AwMAOgMDADoDAwA6AwMAOgMDADoDAwA6AwMAOgMDADoDAwA6AwMAOgMDADoDAwA6AwMAOgMDADoDAwA6AwMAOgMDADoDAwA6AwMAOgMDADoDAwA6AwMAOgMDADoEFQA6AowAUgKMAFIDAwA6ArIAUgKyAFICsgBSArIAUgKyAFICsgBSArIAUgKyAFICcwAqAnMAKgJzACoCcwAqAnMAKgJzACoCcwAqAnMAKgJzACoCcwAqAnMAKgK3AFIC7QA6Al0AAgJdAAICXQACAl0AAgJdAAICXQACAl0AAgLYAE0C2ABNAtgATQLYAE0C2ABNAtgATQLYAE0C2ABNAtgATQLYAE0C2ABNAtgATQLYAE0C2ABNAtgATQLYAE0C2ABNAtgATQLYAE0C2ABNAtgATQLYAE0C2ABNAr0ACgRRACQEUQAkBFEAJARRACQEUQAkAo4AGQJjAAYCYwAGAmMABgJjAAYCYwAGAmMABgJjAAYCYwAGAmMABgJjAAYCUwAlAlMAJQJTACUCUwAlAlMAJQJgAFICFwA1AhcANQIXADUCFwA1AhcANQIXADUCFwA1AhcANQIXADUCFwA1AhcANQIXADUCFwA1AhcANQIXADUCFwA1AhcANQIXADUCFwA1AhcANQIXADUCFwA1AhcANQIXADUCFwA1AhcANQIXADUDUAA1A1AANQJPAEYB4wAqAeMAKgHjACoB4wAqAeMAKgHjACoB4wAqAk8AKgI5ACoCTwAqAk8AKgJPACoCTwAqBEkAKgIRACoCEQAqAhEAKgIRACoCEQAqAhEAKgIRACoCEQAqAhEAKgIRACoCEQAqAhEAKgIRACoCEQAqAhEAKgIRACoCEQ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"); }
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MCBgIDBn4ABgcCBgd8AAcFAgcFfAAKCghfAAgIHEsACwsCYAACAiBLAAUFBGAABAQZBEwbQEwAAQABgwAACACDAAkKDAoJDH4NAQwLCgwLfAADAgYCAwZ+AAYHAgYHfAAHBQIHBXwABQAEBQRkAAoKCF8ACAgcSwALCwJgAAICIAJMWVlZWVlAGBEREVkRWFRSTkxJRyohIygkIh0mIA4HHSsAIyImNTQ3NzYzMhYVFAYHBxIWFRQGBwYHBzYzMhYVFAYjIicmJjU0NhcWMzI1NCYjIgYjIiY3Ny4CNTQ2NjMyFhcWFhUUBiMiJyYmIyIGFRQWMzI2NzY2MwGPCA0SC1sTGBQdERFx0hgKDVV1BBAHHytDPSocCQoRDiIWMg4NCiAECQsBCFmDR1KZZkJ0LQ0KGBEUFStKLWhra2grSS4KFAsC+BELCwteFB0TDRgJQv2rHhYPFwpFBiICJSAmMAoEDgkOEQQIHgoMBwsJQwpdm2Zuo1gnJQoWEBYeDiAZgn5/ghofBgj//wA2//cCgQObACIAIAAAAAMC1wIdAAD//wA2//cCgQONACIAIAAAAAMC0wIdAAAAAgBMAAACvALBAA4AFQAsQCkAAwMAXQAAABRLBQECAgFdBAEBARUBTBAPAAAUEg8VEBUADgAMNQYHFSsyJjURNDYzMzIWFRQGIyM3MjU0IyMRbSEhHcatv7+txr7z83sgHQJHHSC5p6i5afj3/hEA//8ATAAABSYDnAAiACcAAAAjAOgC4wAAAAMC2ASnAAAAAgAAAAAC1ALBABcAJwA8QDkFAQIGAQEHAgFnAAQEA10IAQMDFEsJAQcHAF0AAAAVAEwYGAAAGCcYJiUjHx0cGgAXABUkIzQKBxcrABYVFAYjIyImNTUjIiY1NDYzMzU0NjMzEjU0IyMVMzIWFRQGIyMVMwIUwL+txxwhKhweHhwqIB3H6/N8jxwdHRyPfALBuaeouSEc9hoYFxruHSD9qPj3whoXGBrKAP//AEwAAAK8A5wAIgAnAAAAAwLYAg8AAP//AAAAAALUAsEAAgApAAD//wBM/zoCvALBACIAJwAAAAMCygIPAAD//wBM/1ICvALBACIAJwAAAAMC0AIPAAD//wBMAAAE1wL6ACIAJwAAACMB1QLyAAAAAwLABI4AAAABAEwAAAIwAsEAIAAvQCwAAgADBAIDZQABAQBdAAAAFEsABAQFXQYBBQUVBUwAAAAgAB4hJCEkNQcHGSsyJjURNDYzITIWFRQGIyEVITIWFRQGIyEVITIWFRQGIyFtISEdAWkdICAd/tcBFR0gIB3+6wEpHSAgHf6XIB0CRx0gGhgZG8IaGRgazhsZGBr//wBMAAACMAOcACIALwAAAAMC1QHeAAD//wBMAAACMAOOACIALwAAAAMC2QHeAAD//wBMAAACMAOcACIALwAAAAMC2AHeAAAAAQBM/z0CMALBAEABabUHAQQBAUpLsA1QWEA3AAEABAMBcAUBBAMABG4ACQAKCwkKZQAICAddAAcHFEsMAQsLAF0GAQAAFUsAAwMCYAACAhkCTBtLsA9QWEA4AAEABAABBH4FAQQDAARuAAkACgsJCmUACAgHXQAHBxRLDAELCwBdBgEAABVLAAMDAmAAAgIZAkwbS7AhUFhAOQABAAQAAQR+BQEEAwAEA3wACQAKCwkKZQAICAddAAcHFEsMAQsLAF0GAQAAFUsAAwMCYAACAhkCTBtLsDFQWEA/AAEABAABBH4ABAUABAV8AAUDAAUDfAAJAAoLCQplAAgIB10ABwcUSwwBCwsAXQYBAAAVSwADAwJgAAICGQJMG0A8AAEABAABBH4ABAUABAV8AAUDAAUDfAAJAAoLCQplAAMAAgMCZAAICAddAAcHFEsMAQsLAF0GAQAAFQBMWVlZWUAWAAAAQAA/Pjw4NiQ1IyEjKCQiJA0HHSskFhUUBiMjBzYzMhYVFAYjIicmJjU0NhcWMzI1NCYjIgYjIiY3NyMiJjURNDYzITIWFRQGIyEVITIWFRQGIyEVIQIQICAdkQUQBx8rQz0qHAkKEQ4iFjIODQogBAkLAQmRHSEhHQFpHSAgHf7XARUdICAd/usBKWYbGRgaKgIlICYwCgQOCQ4RBAgeCgwHCwlKIB0CRx0gGhgZG8IaGRgazgACAEz/PQIwA44AFwBYAca1HwEIBQFKS7ANUFhARgIBAAEAgwAFBAgHBXAJAQgHBAhuAAEQAQMLAQNnAA0ADg8NDmUADAwLXQALCxRLEQEPDwRdCgEEBBVLAAcHBmAABgYZBkwbS7APUFhARwIBAAEAgwAFBAgEBQh+CQEIBwQIbgABEAEDCwEDZwANAA4PDQ5lAAwMC10ACwsUSxEBDw8EXQoBBAQVSwAHBwZgAAYGGQZMG0uwIVBYQEgCAQABAIMABQQIBAUIfgkBCAcECAd8AAEQAQMLAQNnAA0ADg8NDmUADAwLXQALCxRLEQEPDwRdCgEEBBVLAAcHBmAABgYZBkwbS7AxUFhATgIBAAEAgwAFBAgEBQh+AAgJBAgJfAAJBwQJB3wAARABAwsBA2cADQAODw0OZQAMDAtdAAsLFEsRAQ8PBF0KAQQEFUsABwcGYAAGBhkGTBtASwIBAAEAgwAFBAgEBQh+AAgJBAgJfAAJBwQJB3wAARABAwsBA2cADQAODw0OZQAHAAYHBmQADAwLXQALCxRLEQEPDwRdCgEEBBUETFlZWVlAKBgYAAAYWBhXVlRQTk1LR0Q/PTo4NzUyMCgmIiAeHAAXABYiIiYSBxcrACYnJjU0NjMyFxYzMjc2MzIWFRQHBgYjEhYVFAYjIwc2MzIWFRQGIyInJiY1NDYXFjMyNTQmIyIGIyImNzcjIiY1ETQ2MyEyFhUUBiMhFSEyFhUUBiMhFSEBEFYUBhQPEhAiQUEiEBMPEwYUVjjIICAdkQUQBx8rQz0qHAkKEQ4iFjIODQogBAkLAQmRHSEhHQFpHSAgHf7XARUdICAd/usBKQMHKiUMCw8SECkpEBIPCwwlKv1fGxkYGioCJSAmMAoEDgkOEQQIHgoMBwsJSiAdAkcdIBoYGRvCGhkYGs7//wBMAAACMAObACIALwAAAAMC1wHeAAD//wBMAAACRgP6ACIALwAAAAMDBQHeAAD//wBM/zoCMAObACIALwAAACMCygHeAAAAAwLXAd4AAP//AEwAAAIwA/oAIgAvAAAAAwMGAd4AAP//AEwAAAI1A/gAIgAvAAAAAwMHAd4AAP//AEwAAAIwA/gAIgAvAAAAAwMIAd4AAP//AEwAAAIwA5wAIgAvAAAAAwLeAd4AAP//AEwAAAIwA4kAIgAvAAAAAwLSAd4AAP//AEwAAAIwA40AIgAvAAAAAwLTAd4AAP//AEz/OgIwAsEAIgAvAAAAAwLKAd4AAP//AEwAAAIwA50AIgAvAAAAAwLUAd4AAP//AEwAAAIwA5sAIgAvAAAAAwLdAd4AAP//AEwAAAIwA44AIgAvAAAAAwLfAd4AAP//AEwAAAIwA3MAIgAvAAAAAwLcAd4AAP//AEwAAAIwBDwAIgAvAAAAIwLcAd4AAAEHAtUB3gCgAAixAgGwoLAzK///AEwAAAIwBD0AIgAvAAAAIwLcAd4AAAEHAtQB3gCgAAixAgGwoLAzKwABAEz/PQJOAsEANgCmS7AVUFhAKAAFAAYHBQZlAAQEA10AAwMUSwAHBwJdAAICFUsIAQAAAV8AAQEZAUwbS7AxUFhALwAAAggCAAh+AAUABgcFBmUABAQDXQADAxRLAAcHAl0AAgIVSwAICAFfAAEBGQFMG0AsAAACCAIACH4ABQAGBwUGZQAIAAEIAWMABAQDXQADAxRLAAcHAl0AAgIVAkxZWUAMKiEkISQ1JCUgCQcdKwQzMhYVFAcGIyImNTQ3ISImNRE0NjMhMhYVFAYjIRUhMhYVFAYjIRUhMhYVFAYHBgYVFBYzMjcCMwILDhEjMDdFJ/71HSEhHQFpHSAgHf7XARUdICAd/usBKR0gFhgfIB8ZFBxzEgwVCBU9LzQjIB0CRx0gGhgZG8IaGRgazhsZFRgFBSQcGx4JAP//AEwAAAIwA4cAIgAvAAAAAwLbAd4AAAABAEz/+gImAsEAFwBvS7ALUFhAGQACAAMEAgNlAAEBAF0AAAAUSwUBBAQgBEwbS7ANUFhAGQACAAMEAgNlAAEBAF0AAAAUSwUBBAQdBEwbQBkAAgADBAIDZQABAQBdAAAAFEsFAQQEIARMWVlADQAAABcAFiIhIjUGBxgrFiY1ETQ2MyEyFRQjIRUhMhUUIyEVFAYjbyMhHQFfPT3+4gEKPT3+9iIdBiQdAkkdIDQzwDQz+B0kAAEANv/3ApgCygAvAD5AOyYBBAUBSgACAwYDAgZ+BwEGAAUEBgVlAAMDAV8AAQEcSwAEBABfAAAAHQBMAAAALwAtIiMkJiYoCAcaKwAWFRUUBgcGBiMiJiY1NDY2MzIXFhYVFAYjIiYnJiYjIgYVEDMyNzUjIiY1NDYzMwJ8HBglKGoxbaBVVZxqjVoMCxgRCxIMLEwwbW/kRERxGBsbGLEBfRsW1y4mDA4QVqNxb6NXTAsWDxYeBwgfGYF//vwTsRgWFhgA//8ANv/3ApgDjgAiAEgAAAADAtkCJwAA//8ANv/3ApgDnAAiAEgAAAADAtgCJwAA//8ANv/3ApgDmwAiAEgAAAADAtcCJwAA//8ANv71ApgCygAiAEgAAAADAswCLgAA//8ANv/3ApgDjQAiAEgAAAADAtMCJwAA//8ANv/3ApgDcwAiAEgAAAADAtwCJwAAAAEATP/6ArICxgAfAGdLsAtQWEAWAAQAAQAEAWUGBQIDAxZLAgEAACAATBtLsA1QWEAWAAQAAQAEAWUGBQIDAxZLAgEAAB0ATBtAFgAEAAEABAFlBgUCAwMWSwIBAAAgAExZWUAOAAAAHwAeEyUjEyUHBxkrABYVERQGIyImNTUhFRQGIyImNRE0NjMyFhUVITU0NjMCkCIjHB0i/pcjHRwjIh0dIwFpIh0CxiMd/bUdJCQd9/cdJCQdAksdIyMd7OwdIwACAAD/+gMuAsYAMQA1AJpLsAtQWEAjDAkHAwUKBAIACwUAZw0BCwACAQsCZQgBBgYWSwMBAQEgAUwbS7ANUFhAIwwJBwMFCgQCAAsFAGcNAQsAAgELAmUIAQYGFksDAQEBHQFMG0AjDAkHAwUKBAIACwUAZw0BCwACAQsCZQgBBgYWSwMBAQEgAUxZWUAaMjIAADI1MjU0MwAxADAjEyMkIyMTIyQOBx0rABYVFAYjIxEUBiMiJjU1IRUUBiMiJjURIyImNTQ2MzM1NDYzMhYVFSE1NDYzMhYVFTMHNSEVAxAeHhsrJBwbJP6XJBsbJCocHh4cKiQbGyQBaSQbHCQrqv6XAl8aFhYa/jwfIiIf9/cfIiIfAcQaFhYaJx4iIh4nJx4iIh4nxWVlAP//AEz/IwKyAsYAIgBPAAAAAwLPAhUAAP//AEz/+gKyA5sAIgBPAAAAAwLXAhUAAP//AEz/OgKyAsYAIgBPAAAAAwLKAhUAAAABAEz/+gDNAsYADQBFS7ALUFhADAAAABZLAgEBASABTBtLsA1QWEAMAAAAFksCAQEBHQFMG0AMAAAAFksCAQEBIAFMWVlACgAAAA0ADCUDBxUrFiY1ETQ2MzIWFREUBiNvIyMdHiMjHgYkHQJLHSMjHf21HST//wBM//oBLwOcACIAVAAAAAMC1QEiAAD////k//oBNAOOACIAVAAAAAMC2QEiAAD////7//oBHAObACIAVAAAAAMC1wEiAAD////g//oA6QOcACIAVAAAAAMC3gEiAAD////v//oBKQOJACIAVAAAAAMC0gEiAAD////v//oBLwQ8ACIAVAAAACMC0gEiAAABBwLVASIAoAAIsQMBsKCwMyv//wBC//oA1gONACIAVAAAAAMC0wEiAAD//wBK/zoAzgLGACIAVAAAAAMCygEiAAD////p//oAzQOdACIAVAAAAAMC1AEiAAD//wA3//oA/gObACIAVAAAAAMC3QEiAAD////k//oBNAOOACIAVAAAAAMC3wEiAAD////m//oBMgNzACIAVAAAAAMC3AEiAAAAAQAb/z0A+gLGACMAYrUOAQACAUpLsBVQWEARAAICFksDAQAAAWAAAQEZAUwbS7AxUFhAGAAAAgMCAAN+AAICFksAAwMBYAABARkBTBtAFQAAAgMCAAN+AAMAAQMBZAACAhYCTFlZtisqJSAEBxgrFjMyFhUUBwYjIiY1NDY3JjURNDYzMhYVERQGBwYGFRQWMzI34AILDREjMDdEIB4NIx0eIxEOHyAfGhYacxEMFggVPTEgNRIQGQJLHSMjHf21FB4FCyYYGx4J////5v/6ATIDhwAiAFQAAAADAtsBIgAAAAH/8v/3ARoCxgATADtLsAtQWEARAAEBFksAAAACXwMBAgIdAkwbQBEAAQEWSwAAAAJfAwECAiACTFlACwAAABMAEiUkBAcWKwY1NDY3NzY2NRE0NjMyFhURFAcHDhkbICkqIx0eI7sgCTgYGQICAjAxAb8dIyMd/kG9DgIA////8v/6AWkDmwAiAGMAAAADAtcBbwAAAAEATP/6AoMCxgAgAB9AHB8WBwMAAgFKAwECAhZLAQEAABUATCUlJSMEBxgrJBUUBiMiJwERFAYjIiY1ETQ2MzIWFREBNjMyFhUUBwUBAoMjGBkV/rMjHh0jIx0eIwFCEhcXIxT+8wEeThgXIxUBOP7yHSQkHQJLHSMjHf7/AS4SIxcXE/b+9v//AEz+9QKDAsYAIgBlAAAAAwLMAeIAAAABAEwAAAIiAsYAEAAfQBwAAAAWSwABAQJeAwECAhUCTAAAABAADiMlBAcWKzImNRE0NjMyFhURITIVFCMhbCAjHR4jARk8PP6jIBwCSh0jIx395DU1AAIATP/4A0YCxgAQACUAWUuwJ1BYQBUEAQAAFksDAQEBAmAHBQYDAgIVAkwbQCEEAQAAFksAAQECYAcFBgMCAhVLAAMDAl8HBQYDAgIVAkxZQBUREQAAESURIx8dGBYAEAAOIyUIBxYrMiY1ETQ2MzIWFREzMhUUIyEEJjU0Njc3NjY1ETQ2MzIWFREUBwdsICMdHiP7PDz+wQG9KBkbICopIx0eI7sgIBwCSh0jIx395DU1CBscGBkCAgIwMQG/HSMjHf5BvwwCAP//AEwAAAIiA5wAIgBnAAAAAwLVASIAAP//AEwAAAIiAscAIgBnAAAAAwK+AbkAAP//AEz+9QIiAsYAIgBnAAAAAwLMAc0AAP//AEwAAAIiAsYAIgBnAAABBwJVAOIAYgAIsQEBsGKwMyv//wBM/zoCIgLGACIAZwAAAAMCygHNAAD//wBM/0oC8wLRACIAZwAAACMBUAIrAAAAAwK6Az8AAP//AEz/UgIiAsYAIgBnAAAAAwLQAc0AAAABAAAAAAI5AsYAJABkQAkiGREIBAEDAUpLsBVQWEAeAAEDBAMBBH4AAgIWSwADAx9LBQEEBABeAAAAFQBMG0AgAAMCAQIDAX4AAQQCAQR8AAICFksFAQQEAF4AAAAVAExZQA0AAAAkACMlKCUyBgcYKyQVFCMhIiY1NQcGIyImNTQ3NxE0NjMyFhUVNzYzMhYVFAcHFSECOTz+pB0gFw8PFBsdRyMdHiJ1Dw8UGxymARlqNTUgHMsNCR0THg8pAQ8dIyMdxUMJHRMbEWDnAAEATv/6AvwCxgAjAG+3IBIKAwEDAUpLsAtQWEAWAAEDAAMBAH4FBAIDAxZLAgEAACAATBtLsA1QWEAWAAEDAAMBAH4FBAIDAxZLAgEAAB0ATBtAFgABAwADAQB+BQQCAwMWSwIBAAAgAExZWUANAAAAIwAiJSYmJQYHGCsAFhURFAYjIiY1EQMGBiMiJicDERQGIyImNRE0NjMyFxMTNjMC2iIgGhoeqgwcExMcDKsfGhoeIRwnFt7dFiUCxiMd/bAcICAcAZz+vhYVFBcBPf5pGyEgHAJQHSMr/lkBpyv//wBO/zoC/ALGACIAcQAAAAMCygI7AAAAAQBM//oCnwLGABsAVbYXCQIAAgFKS7ALUFhADgQDAgICFksBAQAAIABMG0uwDVBYQA4EAwICAhZLAQEAAB0ATBtADgQDAgICFksBAQAAIABMWVlADAAAABsAGiUlJQUHFysAFhURFAYjIicBERQGIyImNRE0NjMyFwERNDYzAn4hIhsgEf6TIBwcICIcHxEBbCEbAsYjHf21HSQXAdv+Tx0kJB0CSx0jF/4nAbAdI///AEz/+gQFAsYAIgBzAAAAAwBjAusAAP//AEz/+gKfA5wAIgBzAAAAAwLVAgsAAP//AEz/+gKfA5wAIgBzAAAAAwLYAgsAAP//AEz+9QKfAsYAIgBzAAAAAwLMAgwAAP//AEz/+gKfA40AIgBzAAAAAwLTAgsAAP//AEz/OgKfAsYAIgBzAAAAAwLKAgwAAAABAEz/RQKfAsYAIwBytx8REAMCAwFKS7ALUFhAFwUEAgMDFksAAgIgSwABAQBgAAAAGQBMG0uwDVBYQBcFBAIDAxZLAAICHUsAAQEAYAAAABkATBtAFwUEAgMDFksAAgIgSwABAQBgAAAAGQBMWVlADQAAACMAIiUnJSQGBxgrABYVERQHBwYmNTQ3NzY2NTUBERQGIyImNRE0NjMyFwERNDYzAn4huyAkKTQgLC/+niEbHCAiHB8RAWwhGwLGIx39j78MAgMaGi0EAgIyLxEBzP5PHSQkHQJLHSMX/icBsB0jAP//AEz/SgOzAtEAIgBzAAAAIwFQAusAAAADAroD/wAA//8ATP9SAp8CxgAiAHMAAAADAtACDAAA//8ATP/6Ap8DhwAiAHMAAAADAtsCCwAAAAIANv/3AtUCygAPABsALEApAAICAF8AAAAcSwUBAwMBXwQBAQEdAUwQEAAAEBsQGhYUAA8ADiYGBxUrBCYmNTQ2NjMyFhYVFAYGIzY2NTQmIyIGFRQWMwEfl1JRmGdnl1FSl2ZhbW1hYm1tYglYpG5uo1hYo25upFhnhn19hYV9fYYA//8ANv/3AtUDnAAiAH4AAAADAtUCGwAA//8ANv/3AtUDjgAiAH4AAAADAtkCGwAA//8ANv/3AtUDmwAiAH4AAAADAtcCGwAA//8ANv/3AtUD+gAiAH4AAAADAwUCGwAA//8ANv86AtUDmwAiAH4AAAAjAsoCHAAAAAMC1wIbAAD//wA2//cC1QP6ACIAfgAAAAMDBgIbAAD//wA2//cC1QP4ACIAfgAAAAMDBwIbAAD//wA2//cC1QP4ACIAfgAAAAMDCAIbAAD//wA2//cC1QOcACIAfgAAAAMC3gIbAAD//wA2//cC1QOJACIAfgAAAAMC0gIbAAD//wA2//cC1QQTACIAfgAAACMC0gIbAAABBwLcAhsAoAAIsQQBsKCwMyv//wA2//cC1QQTACIAfgAAACMC0wIbAAABBwLcAhsAoAAIsQMBsKCwMyv//wA2/zoC1QLKACIAfgAAAAMCygIcAAD//wA2//cC1QOdACIAfgAAAAMC1AIbAAD//wA2//cC1QObACIAfgAAAAMC3QIbAAAAAgA2//cC1QNXABwAKABtS7AbUFi1HAEEAQFKG7UcAQQCAUpZS7AbUFhAHAADAQODAAQEAV8CAQEBHEsGAQUFAF8AAAAdAEwbQCAAAwEDgwACAhRLAAQEAV8AAQEcSwYBBQUAXwAAAB0ATFlADh0dHSgdJykjIiYlBwcZKwAWFRQGBiMiJiY1NDY2MzIXFjMyNjc2MzIVFAYHAjY1NCYjIgYVFBYzApc+UpdmZ5dSUZloHiUoFjEoAwQ4NEI3dW1tYWJtbWICVJNgbqRYWKRubqNYBQQkL0NCN1EK/duGfX2FhX19hv//ADb/9wLVA5wAIgCOAAAAAwLVAhsAAP//ADb/OgLVA1cAIgCOAAAAAwLKAhwAAP//ADb/9wLVA50AIgCOAAAAAwLUAhsAAP//ADb/9wLVA5sAIgCOAAAAAwLdAhsAAP//ADb/9wLVA4cAIgCOAAAAAwLbAhsAAP//ADb/9wLVA5wAIgB+AAAAAwLWAhsAAP//ADb/9wLVA44AIgB+AAAAAwLfAhsAAP//ADb/9wLVA3MAIgB+AAAAAwLcAhsAAP//ADb/9wLVBDwAIgB+AAAAIwLcAhsAAAEHAtUCGwCgAAixAwGwoLAzK///ADb/9wLVBD0AIgB+AAAAIwLcAhsAAAEHAtQCGwCgAAixAwGwoLAzKwACADb/PQLVAsoAIwAvAL5LsAtQWEAhAAUFBF8ABAQcSwcBBgYDXwADAx1LAQEAAAJfAAICGQJMG0uwFVBYQCEABQUEXwAEBBxLBwEGBgNfAAMDIEsBAQAAAl8AAgIZAkwbS7AxUFhAKAABAwADAQB+AAUFBF8ABAQcSwcBBgYDXwADAyBLAAAAAl8AAgIZAkwbQCUAAQMAAwEAfgAAAAIAAmMABQUEXwAEBBxLBwEGBgNfAAMDIANMWVlZQA8kJCQvJC4rJhQlIiMIBxorBBUUFjMyNzYzMhYVFAcGIyImNTQ3LgI1NDY2MzIWFhUUBgcmNjU0JiMiBhUUFjMBrB4aFBwIAgsOESUuN0UfYpBOUZhnZ5dReG0JbW1hYm1tYg43Gh8JAhEMFAoVPS8tIgNZoWxuo1hYo26HtSBZhn19hYV9fYYAAAMANv/PAtUC8wAkACwANABEQEEkGwIEAjIxJyYEBQQSCAIABQNKAAMCA4MAAQABhAAEBAJfAAICHEsGAQUFAF8AAAAdAEwtLS00LTMpIyskJQcHGSsAFhUUBgYjIicHBgYjIiY1NDc3JiY1NDY2MzIXNzYzMhYVFAcHABcTJiMiBhUANjU0JwMWMwKbOlKXZk0/FAkaDhMaChU3OlGYZ0tAFBMdExsKFf5TLvYkMWJtATBtLfckMgJPkV1upFgaIhAQGhQRESQwkV1uo1gZIiAaFRERI/5wQgGmEIV9/v2GfXFD/lkQAP//ADb/zwLVA5wAIgCaAAAAAwLVAhsAAP//ADb/9wLVA4cAIgB+AAAAAwLbAhsAAP//ADb/9wLVBDwAIgB+AAAAIwLbAhsAAAEHAtUCGwCgAAixAwGwoLAzK///ADb/9wLVBCkAIgB+AAAAIwLbAhsAAAEHAtICGwCgAAixAwKwoLAzK///ADb/9wLVBBMAIgB+AAAAIwLbAhsAAAEHAtwCGwCgAAixAwGwoLAzKwACADYAAAP3AsEAHwAnADpANwACAAMEAgNlBgEBAQBdAAAAFEsJBwIEBAVdCAEFBRUFTCAgAAAgJyAmIyEAHwAdISQhJDQKBxkrMiY1NDYzITIWFRQGIyEVITIWFRQGIyEVITIWFRQGIyE3ESMiBhUUM/W/v60CGh0eHx3+1QEXHR8fHf7pASsdHx4d/eZxaXp587mop7kaGBkbwhoZGBrOGxkYGmYB9X58+wAAAgBM//oCbwLBABIAGQB4S7ALUFhAGgYBAwABAgMBZQAEBABdAAAAFEsFAQICIAJMG0uwDVBYQBoGAQMAAQIDAWUABAQAXQAAABRLBQECAh0CTBtAGgYBAwABAgMBZQAEBABdAAAAFEsFAQICIAJMWVlAExQTAAAYFhMZFBkAEgARJDUHBxYrFiY1ETQ2MzMyFhUUBiMjFRQGIxMyNTQjIxVvIyEd9nF+fnGzIx7khYWjBiMeAkkdIHFmZnLXHiMBe3R06AAAAgBM//oCbwLGABYAHwCCS7ALUFhAHQYBAwAEBQMEZQcBBQAAAQUAZQACAhZLAAEBIAFMG0uwDVBYQB0GAQMABAUDBGUHAQUAAAEFAGUAAgIWSwABAR0BTBtAHQYBAwAEBQMEZQcBBQAAAQUAZQACAhZLAAEBIAFMWVlAFBcXAAAXHxceHRsAFgAVJSMkCAcXKwAWFRQGIyMVFAYjIiY1ETQ2MzIWFRUzEjY1NCYjIxUzAfN8fW+4Ix0dIiIdHSO4MUFBRKWlAi5pXl9qYx0kIx4CSx0jIx1Y/tQxNDMwyAACADb/RwLVAsoAHQApADFALhsBAQQBSgADAwJfAAICHEsFAQQEAV8AAQEdSwAAABkATB4eHikeKC0mJSQGBxgrBRYVFAYjIiYnJyYmIyImJjU0NjYzMhYWFRQGBxYXJjY1NCYjIgYVFBYzAo0LJBgSIAo7Di0kZ5dSUpdnZpdSX1guHoNtbWFibW1iYhIRFx0REWEXFlikbm6jWFijbnerJxAyiIZ9fYWFfX2GAAACAEz/+QKMAsEAIgArAFe1HgEBBQFKS7ALUFhAGgYBBQABAAUBZQAEBANdAAMDFEsCAQAAHQBMG0AaBgEFAAEABQFlAAQEA10AAwMUSwIBAAAgAExZQA4jIyMrIyouNSMlIwcHGSskFRQGIyImJycmJiMjFRQGIyImNRE0NjMzMhYVFAYHFhYXFwI2NTQmIyMVMwKMJRkQHQqFFC0kYiIdHSMhHfp4fV1VHSwVW8VEREmoqD8RFx4PD8ogGuAeIyMeAkkdIGtlUmkPByQgiwEtNzk6Nd///wBM//kCjAOcACIApAAAAAMC1QHyAAD//wBM//kCjAOcACIApAAAAAMC2AHyAAD//wBM/vUCjALBACIApAAAAAMCzAHzAAD//wBM//kCjAOcACIApAAAAAMC3gHyAAD//wBM/zoCjALBACIApAAAAAMCygHzAAD//wBM//kCjAOOACIApAAAAAMC3wHyAAD//wBM/1ICjALBACIApAAAAAMC0AHzAAAAAQAo//cCUwLKADYANkAzAAMEAAQDAH4AAAEEAAF8AAQEAl8AAgIcSwABAQVfBgEFBR0FTAAAADYANSQmLCMmBwcZKxYmJyY1NDYzMhcWFjMyNjU0JicuAjU0NjYzMhcWFhUUBiMiJicmJiMiBhUUFhceAhUUBgYj84krFxkREhcrXjlJTklVWG44Rn1Oj1oNCxkRChEOKU04RE9GVFlvO0V9UQkpIxEfFR8OHxwzMSYpExMyTjw+YjdMCxUQFR8GCB4dNzEpLBMUMUw5Pl81//8AKP/3AlMDnAAiAKwAAAADAtUB1wAA//8AKP/3AlMDnAAiAKwAAAAjAtUB6gAAAQcC0wFhAA4ACLECAbAOsDMr//8AKP/3AlMDnAAiAKwAAAADAtgB1wAA//8AKP/3AlMELQAiAKwAAAAjAtgB1wAAAQcC0wHXAKAACLECAbCgsDMrAAEAKP89AlMCygBVAcG1BAEEAQFKS7ALUFhAPAAJCgYKCQZ+AAYHCgYHfAABAAQDAXAFAQQDAARuAAoKCF8ACAgcSwAHBwBfAAAAIEsAAwMCYAACAhkCTBtLsA1QWEA8AAkKBgoJBn4ABgcKBgd8AAEABAMBcAUBBAMABG4ACgoIXwAICBxLAAcHAF8AAAAdSwADAwJgAAICGQJMG0uwD1BYQD0ACQoGCgkGfgAGBwoGB3wAAQAEAAEEfgUBBAMABG4ACgoIXwAICBxLAAcHAF8AAAAgSwADAwJgAAICGQJMG0uwIVBYQD4ACQoGCgkGfgAGBwoGB3wAAQAEAAEEfgUBBAMABAN8AAoKCF8ACAgcSwAHBwBfAAAAIEsAAwMCYAACAhkCTBtLsDFQWEBEAAkKBgoJBn4ABgcKBgd8AAEABAABBH4ABAUABAV8AAUDAAUDfAAKCghfAAgIHEsABwcAXwAAACBLAAMDAmAAAgIZAkwbQEEACQoGCgkGfgAGBwoGB3wAAQAEAAEEfgAEBQAEBXwABQMABQN8AAMAAgMCZAAKCghfAAgIHEsABwcAXwAAACAATFlZWVlZQBBMSkZELCMqISMoJCISCwcdKyQGBgcHNjMyFhUUBiMiJyYmNTQ2FxYzMjU0JiMiBiMiJjc3JiYnJjU0NjMyFxYWMzI2NTQmJy4CNTQ2NjMyFxYWFRQGIyImJyYmIyIGFRQWFx4CFQJTPnJKBBAHHytDPSocCQoRDiIWMg4NCiAECQsBCEBvJBcZERIXK145SU5JVVhuOEZ9To9aDQsZEQoRDilNOERPRlRZbzuPXDcEIgIlICYwCgQOCQ4RBAgeCgwHCwlDBSceER8VHw4fHDMxJikTEzJOPD5iN0wLFRAVHwYIHh03MSksExQxTDkA//8AKP/3AlMDmwAiAKwAAAADAtcB1wAA//8AKP71AlMCygAiAKwAAAADAswB1gAA//8AKP/3AlMDjQAiAKwAAAADAtMB1wAA//8AKP86AlMCygAiAKwAAAADAsoB1gAA//8AKP86AlMDjQAiAKwAAAAjAsoB1gAAAAMC0wHXAAAAAQBM//kCkQLIADsAm7U7AQMEAUpLsAtQWEAmAAEDAgMBAn4ABAADAQQDZwAFBQdfAAcHHEsAAgIAXwYBAAAgAEwbS7ANUFhAJgABAwIDAQJ+AAQAAwEEA2cABQUHXwAHBxxLAAICAF8GAQAAHQBMG0AmAAEDAgMBAn4ABAADAQQDZwAFBQdfAAcHHEsAAgIAXwYBAAAgAExZWUALJSUkNDQkJSUIBxwrABYVFAYGIyInJjU0NjMyFhcWFjMyNjU0JiMjIiY1NDYzMzI2NTQmIyIGFREUBiMiJjURNDYzMhYVFAYHAkRNOWRAXT4gFhAJEQ8cLRoyOUZMRhkbGxkvOj5DO01PIx0dIpSKcIQzLQFhWkM6XDQrFR8VHAYIEBA5MzY0HhUVHjQwMDZSUf56HSMjHQGGgIlpWTRPFAAAAgA2//cCwALKACEAKAA/QDwAAwIBAgMBfgABAAUGAQVlAAICBF8HAQQEHEsIAQYGAF8AAAAdAEwiIgAAIigiJyUkACEAICQiJSYJBxgrABYWFRQGBiMiJiY1NDYzISYmIyIGBwYGIyImNTQ2NzY2MxI2NyEWFjMBzp1VUJJhZJNQHhoBzwxzYS1TMA0RChEZCwwsfkhvYwj+egdnVwLKWKNua6RbVaFvHB9jaBsfCAYeFg8WCyUn/ZRtaGduAAEAAP/7AmUCwQASAD5LsAlQWEASAgEAAAFdAAEBFEsEAQMDHQNMG0ASAgEAAAFdAAEBFEsEAQMDIANMWUAMAAAAEgARIjIjBQcXKwQmNREjIjU0MyEyFRQjIxEUBiMBFSO2PDwB7Tw8tiMdBSMdAhw1NTU1/eQdIwAAAQAA//sCZQLBACQAVkuwCVBYQBwFAQEEAQIDAQJlBgEAAAddCAEHBxRLAAMDHQNMG0AcBQEBBAECAwECZQYBAAAHXQgBBwcUSwADAyADTFlAEAAAACQAIiEkIyMkISIJBxsrABUUIyMVMzIWFRQGIyMVFAYjIiY1NSMiJjU0NjMzNSMiNTQzIQJlPLZdGx4eG10jHR4jXBweHhxctjw8Ae0CwTU1wRoXGBr4HSMjHfgaGBcawTU1//8AAP/7AmUDnAAiALkAAAADAtgByQAAAAEAAP89AmUCwQAwAOBACicBAQAJAQQBAkpLsA1QWEAmAAEABAMBcAUBBAMABAN8BgEAAAddCAEHBxRLAAMDAmAAAgIZAkwbS7AhUFhAJwABAAQAAQR+BQEEAwAEA3wGAQAAB10IAQcHFEsAAwMCYAACAhkCTBtLsDFQWEAtAAEABAABBH4ABAUABAV8AAUDAAUDfAYBAAAHXQgBBwcUSwADAwJgAAICGQJMG0AqAAEABAABBH4ABAUABAV8AAUDAAUDfAADAAIDAmQGAQAAB10IAQcHFABMWVlZQBAAAAAwAC4mISMoJCYiCQcbKwAVFCMjERQGBwc2MzIWFRQGIyInJiY1NDYXFjMyNTQmIyIGIyImNzcmNREjIjU0MyECZTy2FBIFEAcfK0M9KhwJChEOIhYyDg0KIAQJCwEKFbY8PAHtAsE1Nf3kFh8HKQIlICYwCgQOCQ4RBAgeCgwHCwlTEiACHDU1//8AAP71AmUCwQAiALkAAAADAswByQAA//8AAP86AmUCwQAiALkAAAADAsoByQAA//8AAP9SAmUCwQAiALkAAAADAtAByQAAAAEASP/3ApUCxgAbACFAHgIBAAAWSwABAQNfBAEDAx0DTAAAABsAGiUlJQUHFysWJjURNDYzMhYVERQWMzI2NRE0NjMyFhURFAYj3pYiHR0iVlNSViIdHSKWkAmWkAFpHSMjHf6QW11eWgFwHSMjHf6Xj5f//wBI//cClQOcACIAwAAAAAMC1QIFAAD//wBI//cClQOOACIAwAAAAAMC2QIFAAD//wBI//cClQObACIAwAAAAAMC1wIFAAD//wBI//cClQOcACIAwAAAAAMC3gIFAAD//wBI//cClQOJACIAwAAAAAMC0gIFAAD//wBI/zoClQLGACIAwAAAAAMCygIFAAD//wBI//cClQOdACIAwAAAAAMC1AIFAAD//wBI//cClQObACIAwAAAAAMC3QIFAAAAAQBI//cDCANUACIAJ0AkAgECAQFKAAQBBIMDAQEBFksAAgIAXwAAAB0ATCMlJSUlBQcZKwAGBxEUBiMiJjURNDYzMhYVERQWMzI2NRE0NjcyNjc2MzIVAwg/NJaQkZYiHR0iVlNSViEbIh8EBjY0At9QCv6Yj5eWkAFpHSMjHf6QW11eWgFwHCQBICtCQAD//wBI//cDCAOcACIAyQAAAAMC1QIFAAD//wBI/zoDCANUACIAyQAAAAMCygIFAAD//wBI//cDCAOdACIAyQAAAAMC1AIFAAD//wBI//cDCAObACIAyQAAAAMC3QIFAAD//wBI//cDCAOHACIAyQAAAAMC2wIFAAD//wBI//cClQOcACIAwAAAAAMC1gIFAAD//wBI//cClQOOACIAwAAAAAMC3wIFAAD//wBI//cClQNzACIAwAAAAAMC3AIFAAD//wBI//cClQQpACIAwAAAACMC3AIFAAABBwLSAgUAoAAIsQICsKCwMysAAQBI/z0ClQLGADAAiEuwFVBYQB0HBgIEBBZLAAUFA18AAwMgSwEBAAACXwACAhkCTBtLsDFQWEAkAAEDAAMBAH4HBgIEBBZLAAUFA18AAwMgSwAAAAJfAAICGQJMG0AhAAEDAAMBAH4AAAACAAJjBwYCBAQWSwAFBQNfAAMDIANMWVlADwAAADAALyUlFCUiKggHGisAFhURFAYHBhUUFjMyNzYzMhYVFAcGIyImNTQ3JiY1ETQ2MzIWFREUFjMyNjURNDYzAnMiXFlGHhoZFwgCCw4RJS43RCGNkiIdHSJWU1JWIh0CxiMd/pdwjRoTOBofCQIRDBQKFT0vLiAClo4BaR0jIx3+kFtdXloBcB0j//8ASP/3ApUDyQAiAMAAAAADAtoCBQAA//8ASP/3ApUDhwAiAMAAAAADAtsCBQAA//8ASP/3ApUEPAAiAMAAAAAjAtsCBQAAAQcC1QIFAKAACLECAbCgsDMrAAEACP/6AsMCxwAYAEe1FwEBAAFKS7ALUFhADAIBAAAWSwABASABTBtLsA1QWEAMAgEAABZLAAEBHQFMG0AMAgEAABZLAAEBIAFMWVm1JycgAwcXKwAzMhYVFAcBBgYjIiYnASY1NDYzMhYXExMCXSUZKAb+6wklFRUlCf7sBikaER0I5uYCxyAYCw79rBMVFRMCVA4KGSAREf4BAf8AAQAi//kENALHACkAOrcoIA8DAQABSkuwC1BYQA4EAwIAABZLAgEBAR0BTBtADgQDAgAAFksCAQEBIAFMWbcmJyYnIQUHGSsANjMyFhUUBwMGBiMiJicDAwYGIyImJwMmNTQ2MzIWFxMTNjYzMhYXExMDxx8TGCMF1wglFhYmB6apCCUWFiUH1wUlGRQgB6qvByATEyEHqq0CsxQeGQkR/a0UFhYUAdf+KRQWFhQCUw8LGR4UFP4XAeYUFxcV/hUB7///ACL/+QQ0A5wAIgDYAAAAAwLVAsEAAP//ACL/+QQ0A5sAIgDYAAAAAwLXAsEAAP//ACL/+QQ0A4kAIgDYAAAAAwLSAsEAAP//ACL/+QQ0A50AIgDYAAAAAwLUAsEAAAABABj/+gKAAsYAIwBPQAkiGRAHBAACAUpLsAtQWEANAwECAhZLAQEAACAATBtLsA1QWEANAwECAhZLAQEAAB0ATBtADQMBAgIWSwEBAAAgAExZWbYkKiQjBAcYKyQVFAYjIicnBwYjIiY1NDcTJyY1NDYzMhcXNzYzMhYVFAcHEwKAJRgZE8vMEhkYJQ/a0Q8kGBkTw8MSGRglD9HZSRMYJBb8/BUjGBQSAQr/EBYYIxbx8RYjGBYQ//72AAEABf/6AmoCxgAZAEm3GA8HAwEAAUpLsAtQWEAMAgEAABZLAAEBIAFMG0uwDVBYQAwCAQAAFksAAQEdAUwbQAwCAQAAFksAAQEgAUxZWbUoKCADBxcrADMyFhUUBwMRFAYjIiY1EQMmNTQ2MzIXFzcCFhkXJA/jJBwdJOMPJBcZEs3MAsYjGBQS/uv+6x8iIh8BFQEVEhQYIxb+/gD//wAF//oCagOcACIA3gAAAAMC1QHNAAD//wAF//oCagObACIA3gAAAAMC1wHNAAD//wAF//oCagOJACIA3gAAAAMC0gHNAAD//wAF//oCagONACIA3gAAAAMC0wHNAAD//wAF/zoCagLGACIA3gAAAAMCygHOAAD//wAF//oCagOdACIA3gAAAAMC1AHNAAD//wAF//oCagObACIA3gAAAAMC3QHNAAD//wAF//oCagNzACIA3gAAAAMC3AHNAAD//wAF//oCagOHACIA3gAAAAMC2wHNAAAAAQAkAAACQwLBABcAJUAiAAEBAl0AAgIUSwQBAwMAXQAAABUATAAAABcAFjIlMgUHFyskFRQjISImNTQ3ASEiNTQzITIWFRQHASECQzz+VhofEAFm/sc8PAGdGh8R/poBR2czNB8YGBYB9TM0HxcXF/4KAP//ACQAAAJDA5wAIgDoAAAAAwLVAcQAAP//ACQAAAJDA5wAIgDoAAAAAwLYAcQAAP//ACQAAAJDA40AIgDoAAAAAwLTAcQAAP//ACT/OgJDAsEAIgDoAAAAAwLKAcMAAP//AEz/+gKVA5wAIgBUAAAAIwLVASIAAAAjAGMBGQAAAAMC1QKIAAAAAgAu//gB3gH1ACgANAB7tQoBAAcBSkuwCVBYQCgABAMCAwQCfgACAAYHAgZnAAMDBV8IAQUFH0sJAQcHAF8BAQAAHQBMG0AoAAQDAgMEAn4AAgAGBwIGZwADAwVfCAEFBR9LCQEHBwBfAQEAACAATFlAFikpAAApNCkzLiwAKAAnIyMmJSUKBxkrABYVFRQGIyImNTUGBiMiJiY1NDY2MzM1NCYjIgYHBiMiJjU0Njc2NjMSNjU1IyIGBhUUFjMBe2MgHBohEUkwMVAuN3xtGSovHTwpGgwSFxEUI2EvEz8SQ0ogLSEB9WVn9BsfIBoWJywoRis2PhwXMS0REA0aFREZCxMW/l1DNRUMHhogKf//AC7/+AHeAvkAIgDuAAAAAwK8AasAAP//AC7/+AHeAuIAIgDuAAAAAwLBAasAAP//AC7/+AHeAyQAIgDuAAAAAwL5AasAAP//AC7/OgHeAuIAIgDuAAAAIwLKAacAAAADAsEBqwAA//8ALv/4Ad4DJAAiAO4AAAADAvoBqwAA//8ALv/4Ad4DJgAiAO4AAAADAvsBqwAA//8ALv/4Ad4DJAAiAO4AAAADAvwBqwAA//8ALv/4Ad4C+gAiAO4AAAADAsABqwAA//8ALv/4Ad4C+gAiAO4AAAADAr8BqwAA//8ALv/4AhMDJgAiAO4AAAADAv0BqwAA//8ALv86Ad4C+gAiAO4AAAAjAsoBpwAAAAMCvwGrAAD//wAu//gB3gMoACIA7gAAAAMC/gGrAAD//wAu//gCAgMlACIA7gAAAAMC/wGrAAD//wAu//gB3gMuACIA7gAAAAMDAAGrAAD//wAu//gB3gL7ACIA7gAAAAMCxgGrAAD//wAu//gB3gLNACIA7gAAAAMCuQGrAAD//wAu//gB3gLRACIA7gAAAAMCugGrAAD//wAu/zoB3gH1ACIA7gAAAAMCygGnAAD//wAu//gB3gL5ACIA7gAAAAMCuwGrAAD//wAu//gB3gL4ACIA7gAAAAMCxQGrAAD//wAu//gB3gLkACIA7gAAAAMCxwGrAAD//wAu//gB3gK3ACIA7gAAAAMCxAGrAAAAAgAu/z0CDAH1AD0ASQDPthIPAgIJAUpLsBVQWEAxAAUEAwQFA34AAwAICQMIZwAEBAZfAAYGH0sKAQkJAl8AAgIgSwcBAAABXwABARkBTBtLsDFQWEA4AAUEAwQFA34AAAIHAgAHfgADAAgJAwhnAAQEBl8ABgYfSwoBCQkCXwACAiBLAAcHAV8AAQEZAUwbQDUABQQDBAUDfgAAAgcCAAd+AAMACAkDCGcABwABBwFjAAQEBl8ABgYfSwoBCQkCXwACAiACTFlZQBI+Pj5JPkglKScjIyYqJiALBx0rBDMyFhUUBgcGIyImNTQ2NyY1NQYGIyImJjU0NjYzMzU0JiMiBgcGIyImNTQ2NzY2MzIWFRUUBwYVFBYzMjcmNjU1IyIGBhUUFjMB8QILDgkJJS03RSQgCRFIMDFRLjd9bBkqLx08KRwKEhcRFCNhL2ZjHz8fGhQcwT8SQksgLSFzEQwJEAUVPTEhOBEOEhYnLChGKzY+HBcxLREQDRoVERkLExZlZ/QoDBguGh8Jx0M1FQ0dGiAp//8ALv/4Ad4C+AAiAO4AAAADAsIBqwAAAAQALv/4AfoDWQAVACEASgBWAMhACxQHAgMCLAEFDAJKS7AJUFhARAAJCAcICQd+AAIAAwQCA2cNAQQAAQoEAWcABwALDAcLZwAAAAVfBgEFBR1LAAgICl8OAQoKH0sPAQwMBV8GAQUFHQVMG0BEAAkIBwgJB34AAgADBAIDZw0BBAABCgQBZwAHAAsMBwtnAAAABV8GAQUFIEsACAgKXw4BCgofSw8BDAwFXwYBBQUgBUxZQCVLSyIiFhZLVktVUE4iSiJJQkA9Ozg2MC4pJxYhFiAnJCkgEAcYKwAzMhYVFAcHFhUUBiMiJjU0NjMyFzcGNjU0JiMiBhUUFjMWFhUVFAYjIiY1NQYGIyImJjU0NjYzMzU0JiMiBgcGIyImNTQ2NzY2MxI2NTUjIgYGFRQWMwGxFxQeIWULPiwsPj4sHRZVdRoaExMaGhNmYyAcGiERSTAxUC43fG0ZKi8dPCkaDBIXERQjYS8TPxJDSiAtIQNZHhMdEToWGiw8PCwsPAxZ5BsUFBsbFBQbbGVn9BsfIBoWJywoRis2PhwXMS0REA0aFREZCxMW/l1DNRUMHhogKf//AC7/+AHeAtUAIgDuAAAAAwLDAasAAAADAC7/+AMmAfUAPABDAE8BGEuwIVBYQAoqAQMFCgEICQJKG0AKKgELBQoBCAkCSllLsCFQWEA2AAQDAgMEAn4OAQkHCAcJCH4KAQIMAQcJAgdnDwsCAwMFXwYBBQUfSxANAggIAF8BAQAAIABMG0uwJ1BYQEAABAMCAwQCfg4BCQcIBwkIfgoBAgwBBwkCB2cPAQsLBV8GAQUFH0sAAwMFXwYBBQUfSxANAggIAF8BAQAAIABMG0BKAAQDAgMEAn4OAQkHCAcJCH4KAQIMAQcJAgdnDwELCwVfBgEFBR9LAAMDBV8GAQUFH0sACAgAXwEBAAAgSxABDQ0AXwEBAAAgAExZWUAiREQ9PQAARE9ETklHPUM9QkA/ADwAOyIkIyYkIyYkJhEHHSskFhUUBwYGIyImJwYGIyImJjU0NjYzMzU0JiMiBgcGBiMiJjU0NzY2MzIXNjYzMhYWFRQjIRYWMzI2NzYzAgYHMyYmIwA2NTUjIgYGFRQWMwMOFSUiVSVHZh0WWT02VzE3fG0ZKy4pOh0MFgkRFSUkXDF0LB5UMj1eNCb+4AZBPR8vHh4P2j0G3AM1L/7UPhJDSiAvJIYaFiAUExc3NDQ3J0YsNj4cFjItEQ8GCBoVIBUUFUciJTtrRitEQhAOEAEXQTs8QP61RTQUDB4aISgA//8ALv/4AyYC+QAiAQkAAAADArwCOQAAAAIAQf/4AjMCxgAcACgAPkA7GQEEAwoBAAUCSgACAhZLAAQEA18GAQMDH0sHAQUFAF8BAQAAIABMHR0AAB0oHScjIQAcABslJSYIBxcrABYWFRQGBiMiJicVFAYjIiY1ETQ2MzIWFRU2NjMSNjU0JiMiBhUUFjMBmmI3N2M/NVMWIhwcISMcHCIWUjQaQkE8PEFBPAH1PnJMTHVALikZGyAgGwJWGiAeGuwoK/5kVExLUFFMTFIAAQAm//gB1gH1ACoANkAzAAECBAIBBH4ABAMCBAN8AAICAF8AAAAfSwADAwVfBgEFBSAFTAAAACoAKSQkJCYmBwcZKxYmJjU0NjYzMhYXFhUUBiMiJicmJiMiBhUUFjMyNjc2NjMyFhUUBgcGBiPRbzw/ckonTx4gFRELGAwWKBo+Q0M+GScYDxYLEBYPER9SKwg+ckxMdUAWExUgFhsKBw0PUUxLUQ8NCQkcFREZChQX//8AJv/4AdYC+QAiAQwAAAADArwBtwAA//8AJv/4AdYC+gAiAQwAAAADAsABtwAAAAEAJv89AdYB9QBHARm1CAEDAAFKS7ANUFhANQAGBwkHBgl+CgEJCAcJCHwAAAgDAgBwAAgEAQMCCANnAAcHBV8ABQUfSwACAgFgAAEBGQFMG0uwIVBYQDYABgcJBwYJfgoBCQgHCQh8AAAIAwgAA34ACAQBAwIIA2cABwcFXwAFBR9LAAICAWAAAQEZAUwbS7AxUFhAPAAGBwkHBgl+CgEJCAcJCHwAAAgDCAADfgAEAwIDBHAACAADBAgDZwAHBwVfAAUFH0sAAgIBYAABARkBTBtAOQAGBwkHBgl+CgEJCAcJCHwAAAgDCAADfgAEAwIDBHAACAADBAgDZwACAAECAWQABwcFXwAFBR8HTFlZWUASAAAARwBGJCQmKSEjKCQpCwcdKyQWFRQGBwYHBzYzMhYVFAYjIicmJjU0NhcWMzI1NCYjIgYjIiY3NyYmNTQ2NjMyFhcWFRQGIyImJyYmIyIGFRQWMzI2NzY2MwHAFg8RNk0EEAcfK0M9KhwJChEOIhYyDg0KIAQJCwEIXGo/ckonTx4gFRELGAwWKBo+Q0M+GScYDxYLiBwVERkKJAYjAiUgJjAKBA4JDhEECB4KDAcLCUUOhWZMdUAWExUgFhsKBw0PUUxLUQ8NCQkAAAIAJv89AdYC+QAPAFcBQbUYAQUCAUpLsA1QWEA+AAABBwEAB34MAQsICggLCn4AAgoFBAJwAAEACAsBCGcACgYBBQQKBWcACQkHXwAHBx9LAAQEA2AAAwMZA0wbS7AhUFhAPwAAAQcBAAd+DAELCAoICwp+AAIKBQoCBX4AAQAICwEIZwAKBgEFBAoFZwAJCQdfAAcHH0sABAQDYAADAxkDTBtLsDFQWEBFAAABBwEAB34MAQsICggLCn4AAgoFCgIFfgAGBQQFBnAAAQAICwEIZwAKAAUGCgVnAAkJB18ABwcfSwAEBANgAAMDGQNMG0BCAAABBwEAB34MAQsICggLCn4AAgoFCgIFfgAGBQQFBnAAAQAICwEIZwAKAAUGCgVnAAQAAwQDZAAJCQdfAAcHHwlMWVlZQBYQEBBXEFZSUExKJikhIygkLyYgDQcdKwAjIiY1NDc3NjMyFhUUBwcSFhUUBgcGBwc2MzIWFRQGIyInJiY1NDYXFjMyNTQmIyIGIyImNzcmJjU0NjYzMhYXFhUUBiMiJicmJiMiBhUUFjMyNjc2NjMBLwsOEwhhFx4WHxuBhhYPETZNBBAHHytDPSocCQoRDiIWMg4NCiAECQsBCFxqP3JKJ08eIBURCxgMFigaPkNDPhknGA8WCwIkEw0LC4EeHxUcFGn+XBwVERkKJAYjAiUgJjAKBA4JDhEECB4KDAcLCUUOhWZMdUAWExUgFhsKBw0PUUxLUQ8NCQkA//8AJv/4AdYC+gAiAQwAAAADAr8BtwAA//8AJv/4AdYC0QAiAQwAAAADAroBtwAAAAIAJv/4AhkCxgAcACgAaEAKGAEEAgoBAAUCSkuwCVBYQB0GAQMDFksABAQCXwACAh9LBwEFBQBfAQEAAB0ATBtAHQYBAwMWSwAEBAJfAAICH0sHAQUFAF8BAQAAIABMWUAUHR0AAB0oHScjIQAcABsmJSUIBxcrABYVERQGIyImNTUGBiMiJiY1NDY2MzIWFzU0NjMCNjU0JiMiBhUUFjMB9SQiHBwiFlM1P2M3N2JANVIWIRx9QUE7PEJCOwLGIBr9qhsgIBsZKS5AdUxMcj4sKO0ZH/2TUkxMUVBLTFQAAgAm//gCHwLHADAAPABFQEIwJhsRBAIEDwEFAQJKAAQDAgMEAn4AAQAFBgEFZwACAgNfAAMDFksHAQYGAF8AAAAgAEwxMTE8MTsrJSwlJiQIBxorABYVFAYjIiYmNTQ2NjMyFyYnBwYjIiY1NDY3NyYnJjU0NjMyFxYXNzYzMhYVFAYHBwI2NTQmIyIGFRQWMwHoN4d9SHA9PGtEVjEYN4AKAw8TDw5PISkiHRcOD1NCagoDEBMPD0RdQT89PEFAPAH1i0yNmTpqRUNpOi5BNCcCFQ0MFAQYFRMQHRMcBiA5IAIUDgwUBBX+KkdBQUZFQkNFAAMAJv/4An8CxwANACoANgB2QAomAQYBGAECBwJKS7AJUFhAIwABAQBfCAUCAAAWSwAGBgRfAAQEH0sJAQcHAl8DAQICHQJMG0AjAAEBAF8IBQIAABZLAAYGBF8ABAQfSwkBBwcCXwMBAgIgAkxZQBYrKw4OKzYrNTEvDioOKSYlKSUhCgcZKwA2MzIWBwcGBiMiJjU1JhYVERQGIyImNTUGBiMiJiY1NDY2MzIWFzU0NjMCNjU0JiMiBhUUFjMCNRYPEBUDFwEOCQoOQCQiHBwiFlM1P2M3N2JANVIWIRx9QUE7PEJCOwKyFRgUkAsNDw2PKCAa/aobICAbGSkuQHVMTHI+LCjtGR/9k1JMTFFQS0xUAAIAJv/4An0CxgAuADoAgEAKHAEIAw4BAQkCSkuwCVBYQCcKBwIFBAEAAwUAZwAGBhZLAAgIA18AAwMfSwsBCQkBXwIBAQEdAUwbQCcKBwIFBAEAAwUAZwAGBhZLAAgIA18AAwMfSwsBCQkBXwIBAQEgAUxZQBgvLwAALzovOTUzAC4ALSMkIyYlIyQMBxsrABYVFAYjIxEUBiMiJjU1BgYjIiYmNTQ2NjMyFhc1IyImNTQ2MzM1NDYzMhYVFTMCNjU0JiMiBhUUFjMCYhsbGi8iHBwiFlM1P2M3N2JANVIWlBkbGxmUIRwcJC/sQUE7PEJCOwJ2GBUVF/4ZGyAgGxkpLkB1TExyPiwofBcVFRgYGR8gGhb941JMTFFQS0xU//8AJv86AhkCxgAiARMAAAADAsoBxAAA//8AJv9SAhkCxgAiARMAAAADAtABxAAA//8AJv/4BD4C+gAiARMAAAAjAdUCWQAAAAMCwAP1AAAAAgAm//gB7gH1AB0AJAA/QDwHAQQCAwIEA34ABQACBAUCZQgBBgYBXwABAR9LAAMDAF8AAAAgAEweHgAAHiQeIyEgAB0AHCIkJSYJBxgrJBYVFAcGBiMiJjU0NjYzMhYWFRQjIRYWMzI2NzYzAgYHMyYmIwHVFSUiVid2ijxtRUJiNib+2QZCPyAxHx4O4D0G4gI4MoYaFh8VExeIdkt0QDpqSCtFQRAOEAEXQDw9P///ACb/+AHuAvkAIgEaAAAAAwK8AaoAAP//ACb/+AHuAuIAIgEaAAAAAwLBAaoAAP//ACb/+AHuAvoAIgEaAAAAAwLAAaoAAAADACb/PQHuAuIAFwBUAFsBykAKEgEBACABBwQCSkuwDVBYQEYQAQwKCwoMC34ABAsHBgRwAAEPAQMJAQNnAA0ACgwNCmYACwgBBwYLB2cCAQAAHEsRAQ4OCV8ACQkfSwAGBgVgAAUFGQVMG0uwFVBYQEcQAQwKCwoMC34ABAsHCwQHfgABDwEDCQEDZwANAAoMDQpmAAsIAQcGCwdnAgEAABxLEQEODglfAAkJH0sABgYFYAAFBRkFTBtLsCFQWEBHAgEAAQCDEAEMCgsKDAt+AAQLBwsEB34AAQ8BAwkBA2cADQAKDA0KZgALCAEHBgsHZxEBDg4JXwAJCR9LAAYGBWAABQUZBUwbS7AxUFhATQIBAAEAgxABDAoLCgwLfgAECwcLBAd+AAgHBgcIcAABDwEDCQEDZwANAAoMDQpmAAsABwgLB2cRAQ4OCV8ACQkfSwAGBgVgAAUFGQVMG0BKAgEAAQCDEAEMCgsKDAt+AAQLBwsEB34ACAcGBwhwAAEPAQMJAQNnAA0ACgwNCmYACwAHCAsHZwAGAAUGBWQRAQ4OCV8ACQkfDkxZWVlZQCpVVRgYAABVW1VaWFcYVBhTUE5MSkZEOzk4NjMxKScjIQAXABYiIiYSBxcrEiYnJjU0NjMyFxYzMjc2MzIWFRQHBgYjEhYVFAcGBgcHNjMyFhUUBiMiJyYmNTQ2FxYzMjU0JiMiBiMiJjc3JiY1NDY2MzIWFhUUIyEWFjMyNjc2MwIGBzMmJiPcWxMDFg8WDSBBQSANFg8WAxNbOMEVJR1HIgQQBx8rQz0qHAkKEQ4iFjIODQogBAkLAQhicDxtRUJiNib+2QZCPyAxHx4O4D0G4gI4MgI/OzEJCBEVFjk5FRQRCAkxO/5HGhYfFREVAyMCJSAmMAoEDgkOEQQIHgoMBwsJRQ2FaUt0QDpqSCtFQRAOEAEXQDw9P///ACb/+AHuAvoAIgEaAAAAAwK/AaoAAP//ACb/+AISAyYAIgEaAAAAAwL9AaoAAP//ACb/OgHuAvoAIgEaAAAAIwLKAbwAAAADAr8BqgAA//8AJv/4Ae4DKAAiARoAAAADAv4BqgAA//8AJv/4AgEDJQAiARoAAAADAv8BqgAA//8AJv/4Ae4DLgAiARoAAAADAwABqgAA//8AJv/4Ae4C+wAiARoAAAADAsYBqgAA//8AJv/4Ae4CzQAiARoAAAADArkBqgAA//8AJv/4Ae4C0QAiARoAAAADAroBqgAA//8AJv86Ae4B9QAiARoAAAADAsoBvAAA//8AJv/4Ae4C+QAiARoAAAADArsBqgAA//8AJv/4Ae4C+AAiARoAAAADAsUBqgAA//8AJv/4Ae4C5AAiARoAAAADAscBqgAA//8AJv/4Ae4CtwAiARoAAAADAsQBqgAA//8AJv/4Ae4DuQAiARoAAAAjAsQBqgAAAQcCvAGqAMAACLEDAbDAsDMr//8AJv/4Ae4DuQAiARoAAAAjAsQBqgAAAQcCuwGqAMAACLEDAbDAsDMrAAIAJv89Ae4B9QAyADkAx0uwFVBYQDEABgQFBAYFfgAIAAQGCARlCgEJCQNfAAMDH0sABQUCXwACAiBLBwEAAAFfAAEBGQFMG0uwMVBYQDgABgQFBAYFfgAAAgcCAAd+AAgABAYIBGUKAQkJA18AAwMfSwAFBQJfAAICIEsABwcBXwABARkBTBtANQAGBAUEBgV+AAACBwIAB34ACAAEBggEZQAHAAEHAWMKAQkJA18AAwMfSwAFBQJfAAICIAJMWVlAEjMzMzkzOBQqIyIkJSQlIAsHHSsEMzIWFRQHBiMiJjU0NyMiJjU0NjYzMhYWFRQjIRYWMzI2NzYzMhYVFAYHBgYVFBYzMjcCBgczJiYjAdACCw0RIzA2RSIGd4o8bUVCYjYm/tkGQj8gMR8eDhEVFRY2Kh8aGBjkPQbiAjgycxIMFQgVPS8uIYh2S3RAOmpIK0VBEA4QGhYRGgwdLBsbHgkCEkA8PT///wAm//gB7gLVACIBGgAAAAMCwwGqAAAAAgAl//gB7AH1AB0AJAA/QDwAAwIBAgMBfgABAAUGAQVlAAICBF8HAQQEH0sIAQYGAF8AAAAgAEweHgAAHiQeIyEgAB0AHCQhIyYJBxgrABYWFRQGBiMiJjU0MyEmIyIGBwYGIyImNTQ3NjYzEjY3IxYWMwE+cT07aUNoeCYBKQx7ITMbDBcIERYlJFYnQDwG4QM4MgH1PnNNSnRBfm8qhxEOBgkaFSAVExb+XEA8PT8AAAH/+f/7AYMCxQAiAExLsAlQWEAYBgEFAAWDAwEBAQBfBAEAABdLAAICHQJMG0AYBgEFAAWDAwEBAQBfBAEAABdLAAICIAJMWUAOAAAAIgAiIiMjIiMHBxkrAAYVFTMyFRQjIxEUBiMiJjURIyI1NDMzNTQ2Nzc2FhUUBwcBCipVODhVIxsbJDI4ODJjWhooITEaAmEyLxcvL/6rHR4eHQFVLy8HXmsHAgMXGCsFAgAAAgAm/0QCHQH1ACgANACCQAokAQYEFgEDBwJKS7AjUFhAKgABAwIDAQJ+AAYGBF8IBQIEBB9LCQEHBwNfAAMDFUsAAgIAXwAAABkATBtAKAABAwIDAQJ+CQEHAAMBBwNnAAYGBF8IBQIEBB9LAAICAF8AAAAZAExZQBYpKQAAKTQpMy8tACgAJyYkJCUlCgcZKwAWFREUBiMiJyY1NDYzMhYXFhYzMjU1BgYjIiYmNTQ2NjMyFhc1NDYzAjY1NCYjIgYVFBYzAfsigH1tSSUVEQkaDiQ5JYMWVDZAYzg3ZEA2VBYiHIFDQzw7REQ7AfMgG/51c3YpFh8WGgkGDxCAQCktPW5ISG89LSkaGiD+fE5ERU5ORURO//8AJv9EAh0C4gAiATMAAAADAsEBxgAA//8AJv9EAh0C+gAiATMAAAADAsABxgAA//8AJv9EAh0C+gAiATMAAAADAr8BxgAA//8AJv9EAh0DDQAiATMAAAADAsgBxgAA//8AJv9EAh0C0QAiATMAAAADAroBxgAA//8AJv9EAh0CtwAiATMAAAADAsQBxgAAAAEAQf/6AgsCxgAhAHC1HgEBBAFKS7ALUFhAFwADAxZLAAEBBF8FAQQEH0sCAQAAIABMG0uwDVBYQBcAAwMWSwABAQRfBQEEBB9LAgEAAB0ATBtAFwADAxZLAAEBBF8FAQQEH0sCAQAAIABMWVlADQAAACEAICUlJSQGBxgrABUVFAYjIiY1NTQmIyIGFRUUBiMiJjURNDYzMhYVFTY2MwILIR0dIisuNkEiHR0hIxwcIhlTNQH1yfYcICAc9jUxRDnfHCAgHAJWGiAeGuknKQAB/93/+gILAsYAMwCStTABAQgBSkuwC1BYQCEGAQQHAQMIBANnAAUFFksAAQEIXwkBCAgfSwIBAAAgAEwbS7ANUFhAIQYBBAcBAwgEA2cABQUWSwABAQhfCQEICB9LAgEAAB0ATBtAIQYBBAcBAwgEA2cABQUWSwABAQhfCQEICB9LAgEAACAATFlZQBEAAAAzADIkIyMkIyUlJAoHHCsAFRUUBiMiJjU1NCYjIgYVFRQGIyImNREjIiY1NDYzMzU0NjMyFhUVMzIWFRQGIyMVNjYzAgshHR0iKy42QSIdHSEwGRsbGTAjHBwikxobGxqTGVM1AfXJ9hwgIBz2NTFEOd8cICAcAecXFRUYFhogHhoYGBUVF3gnKf//AEH/IwILAsYAIgE6AAAAAwLPAbwAAP///+//+gILA5sAIgE6AAAAAwLXARYAAP//AEH/OgILAsYAIgE6AAAAAwLKAbwAAP//ADX/+gDJAtEAIgFAAAAAAwK6ARUAAAABAEH/+gC+AfMADQBFS7ALUFhADAAAAB9LAgEBASABTBtLsA1QWEAMAAAAH0sCAQEBHQFMG0AMAAAAH0sCAQEBIAFMWVlACgAAAA0ADCUDBxUrFiY1ETQ2MzIWFREUBiNkIyMbGyQkGwYfHQGCHR4eHf5+HR///wBB//oBNAL5ACIBQAAAAAMCvAEVAAD////W//oBKALiACIBQAAAAAMCwQEVAAD////s//oBEgL6ACIBQAAAAAMCvwEVAAD////X//oA3QL7ACIBQAAAAAMCxgEVAAD////i//oBHALNACIBQAAAAAMCuQEVAAD////i//oBNAO5ACIBQAAAACMCuQEVAAABBwK8ARUAwAAIsQMBsMCwMyv//wA1//oAyQLRACIBQAAAAAMCugEVAAD//wA1/zoAyQLRACIBQAAAACMCugEVAAAAAwLKARUAAP///8r/+gC+AvkAIgFAAAAAAwK7ARUAAP//ACv/+gDxAvgAIgFAAAAAAwLFARUAAP///9b/+gEoAuQAIgFAAAAAAwLHARUAAP///9n/+gElArcAIgFAAAAAAwLEARUAAAACAAz/PQDrAtEACwAuAI+1GgECBAFKS7AVUFhAHAYBAQEAXwAAABxLAAQEH0sFAQICA2AAAwMZA0wbS7AxUFhAIwACBAUEAgV+BgEBAQBfAAAAHEsABAQfSwAFBQNgAAMDGQNMG0AgAAIEBQQCBX4ABQADBQNkBgEBAQBfAAAAHEsABAQfBExZWUASAAAtKyEfFRMODAALAAokBwcVKxImNTQ2MzIWFRQGIxIzMhYVFAcGIyImNTQ2NyY1ETQ2MzIWFREUBwYGFRQWMzI3XSgoIiEpKCJSAgsNESYtNkUgHwojGxskIBwiIBkYGAJMJR4eJCQeHiX9QREMFggVPDIfNxIPFAGCHR4eHf5+Jw0JIxsbHgkA////2f/6ASUC1QAiAUAAAAADAsMBFQAA////sP9KAMgC0QAiAVAAAAADAroBFAAAAAH/sP9IAL4B8wATACJAHwAAAQIBAAJ+AAEBH0sDAQICGQJMAAAAEwATJRUEBxYrBiY1NDc3NjY1ETQ2MzIWFREUBwcpJzIbIiIjGxskqBu4GBkpBAICJicBwR0eHh3+SKgMAv///7D/SgERAvoAIgFQAAAAAwK/ARQAAAABAEH/+wIIAsYAIAA/tx8WBwMAAwFKS7AJUFhAEQACAhZLAAMDH0sBAQAAHQBMG0ARAAICFksAAwMfSwEBAAAgAExZtiUlJSMEBxgrJBUUBiMiJycVFAYjIiY1ETQ2MzIWFRE3NjMyFhUUBwcXAgghFhYT6iQbGyMjGxsk1hIXFyITna5OGBckEtSrHR4eHQJVHR4eHf6IzRIiFxcTkpz//wBB/vUCCALGACIBUgAAAAMCzAGiAAAAAQBB//sCCAHzACAAN7cfFgcDAAIBSkuwCVBYQA0DAQICH0sBAQAAHQBMG0ANAwECAh9LAQEAACAATFm2JSUlIwQHGCskFRQGIyInJxUUBiMiJjURNDYzMhYVFTc2MzIWFRQHBxcCCCEWFhPqJBsbIyMbGyTWEhcXIhOdrk4YFyQS1KsdHh4dAYIdHh4dpc0SIhcXE5KcAAABAEH/+gC+AsYADQBFS7ALUFhADAAAABZLAgEBASABTBtLsA1QWEAMAAAAFksCAQEBHQFMG0AMAAAAFksCAQEBIAFMWVlACgAAAA0ADCUDBxUrFiY1ETQ2MzIWFREUBiNkIyMbGyQkGwYfHQJVHR4eHf2rHR///wBB//oBIgOcACIBVQAAAAMC1QEVAAAAAgBB//oBJQLHAA0AGwBZS7ALUFhAEgAAAAFfAgEBARZLBAEDAyADTBtLsA1QWEASAAAAAV8CAQEBFksEAQMDHQNMG0ASAAAAAV8CAQEBFksEAQMDIANMWVlADA4ODhsOGiklIQUHFysABiMiJjU1NDYzMhYHBwImNRE0NjMyFhURFAYjAQoOCQoOFg8QFQMXpyMjGxskJBsCAA0PDY8UFRgUkP3vHx0CVR0eHh39qx0f//8APv71AMcCxgAiAVUAAAADAswBFQAA//8AQf/6AW8CxgAiAVUAAAEHAlUAjwBhAAixAQGwYbAzK///AD3/OgDBAsYAIgFVAAAAAwLKARUAAP//AEH/SgHGAtEAIgFVAAAAIwFQAP4AAAADAroCEgAA////2f9SASUCxgAiAVUAAAADAtABFQAAAAEAAP/6AUUCxgAhAJNACSAYDwcEAgABSkuwC1BYQBgAAgABAAIBfgADAxZLAAAAF0sAAQEgAUwbS7ANUFhAGAACAAEAAgF+AAMDFksAAAAXSwABAR0BTBtLsBlQWEAYAAIAAQACAX4AAwMWSwAAABdLAAEBIAFMG0AaAAADAgMAAn4AAgEDAgF8AAMDFksAAQEgAUxZWVm2KCUoIAQHGCsAMzIWFRQHBxEUBiMiJjU1BwYjIiY1NDc3ETQ2MzIWFRU3AQkNFBsdRyMbGyQWEQ4UGx1HJBsbIxcB1h0THBEp/uYdHx8d0Q0JHRMcESkBFB0eHh3LDQAAAQBB//oDKwH1ADUAcbYyLQIBBQFKS7ALUFhAFgMBAQEFXwgHBgMFBR9LBAICAAAgAEwbS7ANUFhAFgMBAQEFXwgHBgMFBR9LBAICAAAdAEwbQBYDAQEBBV8IBwYDBQUfSwQCAgAAIABMWVlAEAAAADUANCUlJSUlJSUJBxsrABYVFRQGIyImNTU0JiMiBhUVFAYjIiY1NTQmIyIGFRUUBiMiJjURNDYzMhYVFTY2MzIXNjYzAtZVIxwbIycoMTojGxskJygxOSQbGyMkGxohF00ybiUWVjYB9V9q9h0fHx32Ny9DOt8dHx8d9jcvQzrfHR8fHQGDHB4dGxgoKlwqMgD//wBB/zoDKwH1ACIBXgAAAAMCygJMAAAAAQBB//oCCwH1ACIAZLUfAQEDAUpLsAtQWEATAAEBA18FBAIDAx9LAgEAACAATBtLsA1QWEATAAEBA18FBAIDAx9LAgEAAB0ATBtAEwABAQNfBQQCAwMfSwIBAAAgAExZWUANAAAAIgAhJSUlJQYHGCsAFhUVFAYjIiY1NTQmIyIGFRUUBiMiJjURNDYzMhYVFTY2MwG1ViEdHSIrLjZBIh0dISIdGiEZVDUB9WRl9hwgIBzvOTREOd8cICAcAYMaIB8ZGyksAP//AEH/+gILAvkAIgFgAAAAAwK8AbwAAP//AEH/+gILAvgAIgLhAAAAAgFgAAD//wBB//oCCwL6ACIBYAAAAAMCwAG8AAD//wBB/vUCCwH1ACIBYAAAAAMCzAG8AAD//wBB//oCCwLRACIBYAAAAAMCugG8AAD//wBB/zoCCwH1ACIBYAAAAAMCygG8AAAAAQBB/0gCCwH1ACoArrUnAQMFAUpLsAtQWEAdAAMDBV8HBgIFBR9LAAQEIEsAAgIAXwEBAAAZAEwbS7ANUFhAHQADAwVfBwYCBQUfSwAEBB1LAAICAF8BAQAAGQBMG0uwJ1BYQB0AAwMFXwcGAgUFH0sABAQgSwACAgBfAQEAABkATBtAIQADAwVfBwYCBQUfSwAEBCBLAAICAF8AAAAZSwABARkBTFlZWUAPAAAAKgApJSUlFhEVCAcaKwAWFREUBgcHBiY1NDY3NzY2NRE0JiMiBhUVFAYjIiY1ETQ2MzIWFRU2NjMBtVZSVRwkJhgZHCIhKy42QSIdHSEiHRohGVU0AfVkZf7UVVkGAgIYGRUWAgICJyYBNTUxRDnfHCAgHAGDGiAfGRwqLAD//wBB/0oDEQLRACIBYAAAACMBUAJJAAAAAwK6A10AAP//AEH/UgILAfUAIgFgAAAAAwLQAbwAAP//AEH/+gILAtUAIgFgAAAAAwLDAbwAAAACACb/+AIZAfUADwAbACxAKQACAgBfAAAAH0sFAQMDAV8EAQEBIAFMEBAAABAbEBoWFAAPAA4mBgcVKxYmJjU0NjYzMhYWFRQGBiM2NjU0JiMiBhUUFjPVcT4+cUtLcT09cUs8QEA8PEFAPAg+dE1Ncz4+c01NdD5hUE5NUVFNTlD//wAm//gCGQL5ACIBawAAAAMCvAG2AAD//wAm//gCGQLiACIBawAAAAMCwQG2AAD//wAm//gCGQL6ACIBawAAAAMCvwG2AAD//wAm//gCHgMmACIBawAAAAMC/QG2AAD//wAm/zoCGQL6ACIBawAAACMCygG2AAAAAwK/AbYAAP//ACb/+AIZAygAIgFrAAAAAwL+AbYAAP//ACb/+AIZAyUAIgFrAAAAAwL/AbYAAP//ACb/+AIZAy4AIgFrAAAAAwMAAbYAAP//ACb/+AIZAvsAIgFrAAAAAwLGAbYAAP//ACb/+AIZAs0AIgFrAAAAAwK5AbYAAP//ACb/+AIZA3cAIgFrAAAAIwK5AbYAAAEHAsQBtgDAAAixBAGwwLAzK///ACb/+AIZA3cAIgFrAAAAIwK6AbYAAAEHAsQBtgDAAAixAwGwwLAzK///ACb/OgIZAfUAIgFrAAAAAwLKAbYAAP//ACb/+AIZAvkAIgFrAAAAAwK7AbYAAP//ACb/+AIZAvgAIgFrAAAAAwLFAbYAAAACACb/+AIqAnQAHQApAG1LsCFQWLUdAQQBAUobtR0BBAIBSllLsCFQWEAcAAMBA4MABAQBXwIBAQEfSwYBBQUAYAAAACAATBtAIAADAQODAAICF0sABAQBXwABAR9LBgEFBQBgAAAAIABMWUAOHh4eKR4oKiMiJiUHBxkrABYVFAYGIyImJjU0NjYzMhcWMzI2NzYzMhYVFAYHAjY1NCYjIgYVFBYzAfInPXFLS3E+PnFLFRwPDSMmBAY3GhkyLHBAQDw8QUA8AZZjPU1zPj5zTU5zPgQDIyo5Gx0tSBD+ok9OTlFRTk1QAP//ACb/+AIqAvkAIgF7AAAAAwK8AbYAAP//ACb/OgIqAnQAIgF7AAAAAwLKAbYAAP//ACb/+AIqAvkAIgF7AAAAAwK7AbYAAP//ACb/+AIqAvgAIgF7AAAAAwLFAbYAAP//ACb/+AIqAtUAIgF7AAAAAwLDAbYAAP//ACb/+AIZAvsAIgFrAAAAAwK9AbYAAP//ACb/+AIZAuQAIgFrAAAAAwLHAbYAAP//ACb/+AIZArcAIgFrAAAAAwLEAbYAAP//ACb/+AIZA7kAIgFrAAAAIwLEAbYAAAEHArwBtgDAAAixAwGwwLAzK///ACb/+AIZA7kAIgFrAAAAIwLEAbYAAAEHArsBtgDAAAixAwGwwLAzKwACACb/PQIZAfUAIwAvAKBLsBVQWLUVAQAFAUobtRUBAQUBSllLsBVQWEAfBgEFBAAEBQB+AAQEA18AAwMfSwEBAAACYAACAhkCTBtLsDFQWEAlBgEFBAEEBQF+AAEABAEAfAAEBANfAAMDH0sAAAACYAACAhkCTBtAIgYBBQQBBAUBfgABAAQBAHwAAAACAAJkAAQEA18AAwMfBExZWUAOJCQkLyQuKyolEyQHBxkrBAYVFBYzMjc2MzIWFRQHBiMiJjU0NyYmNTQ2NjMyFhYVFAYHJjY1NCYjIgYVFBYzAVYiHxoUHAYECw0RJS42RSJmdj5xS0txPVRJIEBAPDxBQDwFJBwaHwkCEQwUChU9Ly8iCodsTXM+PnNNWn8XUlBOTVFRTU5QAAMAJv/TAhkCGwAjACsAMgBEQEEjGgIEAjAvJiUEBQQRCAIABQNKAAMCA4MAAQABhAAEBAJfAAICH0sGAQUFAF8AAAAgAEwsLCwyLDEpIysjJQcHGSsAFhUUBgYjIicHBiMiJjU0NzcmJjU0NjYzMhc3NjMyFhUUBwcAFxMmIyIGFRY1NCcDFjMB6y49cUs3KhMNFQ8WBhQrLj5xSzcqEwsWDxcGFP7gF5YUGj5B/ReVFRgBomlCTXQ+ECEUEw4JCyMiaEJNcz4QIhQTDwkLIv7yKAECB1FOnp5CJv8ABgD//wAm/9MCGQL5ACIBhwAAAAMCvAG2AAD//wAm//gCGQLVACIBawAAAAMCwwG2AAD//wAm//gCGQO5ACIBawAAACMCwwG2AAABBwK8AbYAwAAIsQMBsMCwMyv//wAm//gCGQONACIBawAAACMCwwG2AAABBwK5AbYAwAAIsQMCsMCwMyv//wAm//gCGQN3ACIBawAAACMCwwG2AAABBwLEAbYAwAAIsQMBsMCwMysAAwAm//gDYAH1ACsAMgA+AK5LsB1QWEAKGAEHCAoBAAUCShtAChgBCQgKAQAFAkpZS7AdUFhALAsBBgQFBAYFfgAHAAQGBwRlCQwCCAgCXwMBAgIfSw0KAgUFAF8BAQAAIABMG0A2CwEGBAUEBgV+AAcABAYHBGUMAQgIAl8DAQICH0sACQkCXwMBAgIfSw0KAgUFAF8BAQAAIABMWUAfMzMsLAAAMz4zPTk3LDIsMS8uACsAKiIkJCYkJg4HGiskFhUUBwYGIyImJwYGIyImJjU0NjYzMhYXNjYzMhYWFRQjIRYWMzI2NzY2MwIGBzMmJiMANjU0JiMiBhUUFjMDRxUlIVYlQWMeHWE+SnA9PXBKP2AeHV47PV80Jv7eBkE+Hy8eDRcJ2z0G3QM2L/7NPz88O0A/PIYaFiAUExcvLSwwP3NNTXM+MC0tMDtrRitFQRAOBwkBF0A8PED+vFBOTVFRTU5QAAIAQf9HAjMB9QAcACgAPkA7GQEEAgoBAAUCSgAEBAJfBgMCAgIfSwcBBQUAXwAAACBLAAEBGQFMHR0AAB0oHScjIQAcABslJSYIBxcrABYWFRQGBiMiJicVFAYjIiY1ETQ2MzIWFRU2NjMSNjU0JiMiBhUUFjMBmWM3N2JANFIWIhwcIyEcHCIWUzUaQkI7PEFBPAH1QHVMTHI+LCfMGh4gGgI3GyAgGxkpLf5kUUpMVFJMS1IAAgBB/0cCMwLGABwAKABCQD8ZAQQDCgEABQJKAAICFksABAQDXwYBAwMfSwcBBQUAXwAAACBLAAEBGQFMHR0AAB0oHScjIQAcABslJSYIBxcrABYWFRQGBiMiJicVFAYjIiY1ETQ2MzIWFRU2NjMSNjU0JiMiBhUUFjMBmWM3N2M/NFIWIhwdIiIdHCIWUjQbQUI7PEFBPAH1QHVMS3M+LCfMGR8gGgMLGiAfGewoK/5kUUpLVVJMS1IAAgAm/0cCGQH1ABwAKAA+QDsYAQQCCgEBBQJKAAQEAl8GAwICAh9LBwEFBQFfAAEBIEsAAAAZAEwdHQAAHSgdJyMhABwAGyYlJQgHFysAFhURFAYjIiY1NQYGIyImJjU0NjYzMhYXNTQ2MwI2NTQmIyIGFRQWMwH3IiQcHCEWUzRAYjc3Yz81UxYiHH9BQTw7QkI8AfMgG/3JGiAfGc4oLT5yTEx1QC0pGRsg/mZSS0xSVExKUQABAEH/+gGKAfUAHABHtRgBAAEBSkuwC1BYQAwCAQEBH0sAAAAgAEwbS7ANUFhADAIBAQEfSwAAAB0ATBtADAIBAQEfSwAAACAATFlZtRUlLAMHFysAFhUUBgcHBgYVFRQGIyImNRE0NjMyFhUVNjY3NwFsHhoiHjs3JBsbIyMaGiATSy4OAfUaGhsaBAMGRDPSHR8fHQGDHB4dGygsMAMBAP//AEH/+gGXAvkAIgGRAAAAAwK8AXgAAP//AEH/+gGKAvoAIgGRAAAAAwLAAXgAAP//AD7+9QGKAfMAIgGRAAAAAwLMARUAAP//ADr/+gGKAvsAIgGRAAAAAwLGAXgAAP//AD3/OgGKAfMAIgGRAAAAAwLKARUAAP//ADn/+gGLAuQAIgGRAAAAAwLHAXgAAP///9n/UgGKAfMAIgGRAAAAAwLQARUAAAABACL/+AHBAfUANAA2QDMAAwQABAMAfgAAAQQAAXwABAQCXwACAh9LAAEBBV8GAQUFIAVMAAAANAAzJCYsIyUHBxkrFicmNTQ2MzIXFhYzMjY1NCYmJyYmNTQ2NjMyFhcWFRQGIyImJyYmIyIGFRQWFx4CFRQGI4VDIBYQER4gNSkqLxMxMllNNFs6Kk4fIBYQCxUQHSofJSssP0NMIXFeCCsTIxQZEA8QHBkRFBELEkI6LEcnFRQUIRQbCQkPDx4aGRoNDiQ2KkRSAP//ACL/+AHBAvkAIgGZAAAAAwK8AZEAAP//ACL/+AHBAvkAIgGZAAAAIwK8AZ4AAAEHAroBLgAoAAixAgGwKLAzK///ACL/+AHBAvoAIgGZAAAAAwLAAZEAAP//ACL/+AHBA5EAIgGZAAAAIwLAAZEAAAEHAroBkQDAAAixAgGwwLAzKwABACL/PQHBAfUAUwHGQAohAQEAAwEEAQJKS7AJUFhAPAAJCgYKCQZ+AAYHCgYHfAABAAQDAXAFAQQDAARuAAoKCF8ACAgfSwAHBwBfAAAAHUsAAwMCYAACAhkCTBtLsA1QWEA8AAkKBgoJBn4ABgcKBgd8AAEABAMBcAUBBAMABG4ACgoIXwAICB9LAAcHAF8AAAAgSwADAwJgAAICGQJMG0uwD1BYQD0ACQoGCgkGfgAGBwoGB3wAAQAEAAEEfgUBBAMABG4ACgoIXwAICB9LAAcHAF8AAAAgSwADAwJgAAICGQJMG0uwIVBYQD4ACQoGCgkGfgAGBwoGB3wAAQAEAAEEfgUBBAMABAN8AAoKCF8ACAgfSwAHBwBfAAAAIEsAAwMCYAACAhkCTBtLsDFQWEBEAAkKBgoJBn4ABgcKBgd8AAEABAABBH4ABAUABAV8AAUDAAUDfAAKCghfAAgIH0sABwcAXwAAACBLAAMDAmAAAgIZAkwbQEEACQoGCgkGfgAGBwoGB3wAAQAEAAEEfgAEBQAEBXwABQMABQN8AAMAAgMCZAAKCghfAAgIH0sABwcAXwAAACAATFlZWVlZQBBKSERCLCMpISMoJCIRCwcdKyQGBwc2MzIWFRQGIyInJiY1NDYXFjMyNTQmIyIGIyImNzcmJyY1NDYzMhcWFjMyNjU0JiYnJiY1NDY2MzIWFxYVFAYjIiYnJiYjIgYVFBYXHgIVAcFiVAQQBx8rQz0qHAkKEQ4iFjIODQogBAkLAQhPMyAWEBEeIDUpKi8TMTJZTTRbOipOHyAWEAsVEB0qHyUrLD9DTCFOUAUjAiUgJjAKBA4JDhEECB4KDAcLCUQIIRMjFBkQDxAcGREUEQsSQjosRycVFBQhFBsJCQ8PHhoZGg0OJDYqAP//ACL/+AHBAvoAIgGZAAAAAwK/AZEAAP//ACL+9QHBAfUAIgGZAAAAAwLMAYgAAP//ACL/+AHBAtEAIgGZAAAAAwK6AZEAAP//ACL/OgHBAfUAIgGZAAAAAwLKAYgAAP//ACL/OgHBAtEAIgGZAAAAIwLKAYgAAAADAroBkQAAAAEAQf/4AncCyABBAIVLsAtQWEAfAAACAQIAAX4AAgIEXwAEBBxLAAEBA18GBQIDAyADTBtLsA1QWEAfAAACAQIAAX4AAgIEXwAEBBxLAAEBA18GBQIDAx0DTBtAHwAAAgECAAF+AAICBF8ABAQcSwABAQNfBgUCAwMgA0xZWUARAAAAQQBALy0oJiEfJCYHBxYrBCYnJjU0NjMyFhcWFjMyNjU0JicuAjU0Njc2NjU0JiMiBhURFAYjIiY1ETQ2MzIWFRQGBwYGFRQWFx4CFRQGIwGHVCAgFhALGQ0aMCEmKS0wLjopJCEaGSonPUIiHR0hhntbZiUjGRgrLi86K2xZCBcUEyMUGQoHDhAcGRocEA8cNyslOCEbJBUcH0xG/lwcICAcAZJ7hUtDJzkjGCESGBsPEB45LkdWAAAB//n/+QFxAoAAJAB9S7ALUFhAHQADAgODBQEBAQJfBAECAhdLBwEGBgBfAAAAIABMG0uwDVBYQB0AAwIDgwUBAQECXwQBAgIXSwcBBgYAXwAAAB0ATBtAHQADAgODBQEBAQJfBAECAhdLBwEGBgBfAAAAIABMWVlADwAAACQAJCQjIyQkEwgHGiskFRQGJycmNTUjIiY1NDYzMzU0NjMyFhUVMzIWFRQGIyMVFBcXAXEnJBuoMhsdHRsyIh0cIlUbHR0bVUQbVCoYGQICDKjaGBcXGFwbICAbXBgXFxjjSgUCAAAB//7/+QF2AoAANgCgS7ALUFhAJwAFBAWDCAECCQEBCgIBZwcBAwMEXwYBBAQXSwsBCgoAXwAAACAATBtLsA1QWEAnAAUEBYMIAQIJAQEKAgFnBwEDAwRfBgEEBBdLCwEKCgBfAAAAHQBMG0AnAAUEBYMIAQIJAQEKAgFnBwEDAwRfBgEEBBdLCwEKCgBfAAAAIABMWVlAFAAAADYANjIwISQjIyQhJCQTDAcdKyQVFAYnJyY1NSMiJjU0NjMzNSMiJjU0NjMzNTQ2MzIWFRUzMhYVFAYjIxUzMhYVFAYjIxUUFxcBdickG6giGBwcGCIyGx0dGzIiHRwiVRsdHRtVRRgcHBhFRBtUKhgZAgIMqDsXFRUYRhgXFxhcGyAgG1wYFxcYRhgVFRdESgUCAAL/+f/5AXgCxwAPADQArbUFAQUAAUpLsAtQWEAqAAUAAQAFAX4AAQEAXwAAABZLBwEDAwRfBgEEBBdLCQEICAJfAAICIAJMG0uwDVBYQCoABQABAAUBfgABAQBfAAAAFksHAQMDBF8GAQQEF0sJAQgIAl8AAgIdAkwbQCoABQABAAUBfgABAQBfAAAAFksHAQMDBF8GAQQEF0sJAQgIAl8AAgIgAkxZWUAREBAQNBA0JCMjJCQXJyEKBxwrADYzMhYVFAcHBgYjIiY1NRIVFAYnJyY1NSMiJjU0NjMzNTQ2MzIWFRUzMhYVFAYjIxUUFxcBDSAWFSACJAQTCw4VZCckG6gyGx0dGzIiHRwiVRsdHRtVRBsCsRYUEgQIdwoLDgx6/bcqGBkCAgyo2hgXFxhcGyAgG1wYFxcY40oFAgAAAf/5/z0BcQKAAEUBXEAKIAELCgIBAwACSkuwC1BYQDUABwYHgwAACwMCAHAEAQMCCwMCfAkBBQUGXwgBBgYXSwAKCgtfAAsLIEsAAgIBYAABARkBTBtLsA1QWEA1AAcGB4MAAAsDAgBwBAEDAgsDAnwJAQUFBl8IAQYGF0sACgoLXwALCx1LAAICAWAAAQEZAUwbS7AhUFhANgAHBgeDAAALAwsAA34EAQMCCwMCfAkBBQUGXwgBBgYXSwAKCgtfAAsLIEsAAgIBYAABARkBTBtLsDFQWEA8AAcGB4MAAAsDCwADfgADBAsDBHwABAILBAJ8CQEFBQZfCAEGBhdLAAoKC18ACwsgSwACAgFgAAEBGQFMG0A5AAcGB4MAAAsDCwADfgADBAsDBHwABAILBAJ8AAIAAQIBZAkBBQUGXwgBBgYXSwAKCgtfAAsLIAtMWVlZWUASRENAPzs5IyMkJiEjKCQjDAcdKwQnBzYzMhYVFAYjIicmJjU0NhcWMzI1NCYjIgYjIiY3NyY1NSMiJjU0NjMzNTQ2MzIWFRUzMhYVFAYjIxUUFxcWFRQGJycBBgIFEAcfK0M9KhwJChEOIhYyDg0KIAQJCwEKWzIbHR0bMiIdHCJVGx0dG1VEGzInJBsDASgCJSAmMAoEDgkOEQQIHgoMBwsJWCd82hgXFxhcGyAgG1wYFxcY40oFAgMqGBkCAgD////5/vUBcQKAACIBpQAAAAMCzAGAAAD////5//sBcQNDACIBpQAAAQcC0gE4/7oACbEBArj/urAzKwD////5/zoBcQKAACIBpQAAAAMCygGAAAD////5/1IBkAKAACIBpQAAAAMC0AGAAAAAAQA+//gCAgHzACEAZLUKAQADAUpLsAtQWEATBQQCAgIfSwADAwBgAQEAACAATBtLsA1QWEATBQQCAgIfSwADAwBgAQEAAB0ATBtAEwUEAgICH0sAAwMAYAEBAAAgAExZWUANAAAAIQAgJSQlJQYHGCsAFhURFAYjIiY1NQYGIyI1NTQ2MzIWFRUUFjMyNjU1NDYzAeAiIxwbIBdOMbQiHB0iKi00PyIcAfMgG/58GiAeGhkoK8r2GyAgG/c0MkU53xsg//8APv/4AgIC+QAiAa0AAAADArwBtwAA//8APv/4AgIC4gAiAa0AAAADAsEBtwAA//8APv/4AgIC+gAiAa0AAAADAr8BtwAA//8APv/4AgIC+wAiAa0AAAADAsYBtwAA//8APv/4AgICzQAiAa0AAAADArkBtwAA//8APv86AgIB8wAiAa0AAAADAsoBtwAA//8APv/4AgIC+QAiAa0AAAADArsBtwAA//8APv/4AgIC+AAiAa0AAAADAsUBtwAAAAEAPv/4AnQCdAApAHFACgIBAwIKAQADAkpLsAtQWEAXAAUCBYMEAQICH0sAAwMAYAEBAAAgAEwbS7ANUFhAFwAFAgWDBAECAh9LAAMDAGABAQAAHQBMG0AXAAUCBYMEAQICH0sAAwMAYAEBAAAgAExZWUAJJBUlJCUlBgcaKwAGBxEUBiMiJjU1BgYjIjU1NDYzMhYVFRQWMzI2NTU0NzY2NzY2MzIWFQJ0PjQjHBsgF04xtCIcHSIqKzVAOyEgAwMeHBoZAglLC/6BGiAeGhkoK8r2GyAgG/c0MkU53zYFASIlHhsbHP//AD7/+AJ0AvkAIgG2AAAAAwK8AbcAAP//AD7/OgJ0AnQAIgG2AAAAAwLKAbcAAP//AD7/+AJ0AvkAIgG2AAAAAwK7AbcAAP//AD7/+AJ0AvgAIgG2AAAAAwLFAbcAAP//AD7/+AJ0AtUAIgG2AAAAAwLDAbcAAP//AD7/+AICAvsAIgGtAAAAAwK9AbcAAP//AD7/+AICAuQAIgGtAAAAAwLHAbcAAP//AD7/+AICArcAIgGtAAAAAwLEAbcAAP//AD7/+AICA40AIgGtAAAAIwLEAbcAAAEHArkBtwDAAAixAgKwwLAzKwABAD7/PQIvAfMANQCIthEOAgIEAUpLsBVQWEAcBQEDAx9LAAQEAmAAAgIgSwYBAAABXwABARkBTBtLsDFQWEAjAAACBgIABn4FAQMDH0sABAQCYAACAiBLAAYGAV8AAQEZAUwbQCAAAAIGAgAGfgAGAAEGAWMFAQMDH0sABAQCYAACAiACTFlZQAopJSUkKiURBwcbKwQzMhYVFAcGIyImNTQ2NyY1NQYGIyI1NTQ2MzIWFRUUFjMyNjU1NDYzMhYVERQHBhUUFjMyNwITBAsNESUuN0QhHwgXTjG0IhwdIiorNUAiHB0iIT0fGhgYcxEMFAoVPTEgNhIOERkoK8r2GyAgG/c0MkU53xsgIBv+fCYOFTAaHwn//wA+//gCAgL4ACIBrQAAAAMCwgG3AAD//wA+//gCAgLVACIBrQAAAAMCwwG3AAD//wA+//gCAgO5ACIBrQAAACMCwwG3AAABBwK8AbcAwAAIsQIBsMCwMysAAQAK//sCBQHzABgAMrUXAQEAAUpLsAlQWEAMAgEAAB9LAAEBHQFMG0AMAgEAAB9LAAEBIAFMWbUnJyEDBxcrADYzMhYVFAcDBgYjIiYnAyY1NDYzMhcTEwGeGxAXJQa5CSEUEyMJugUnGSQRjIsB4RIfFwwM/n0TFBQTAYMKDRcgI/7LATQAAAEAFP/7A0QB8wApADq3KCAPAwEAAUpLsAlQWEAOBAMCAAAfSwIBAQEdAUwbQA4EAwIAAB9LAgEBASABTFm3JicmJyEFBxkrADYzMhYVFAcDBgYjIiYnAwMGBiMiJicDJjU0NjMyFhcTEzY2MzIWFxMTAt0bEBclBaUIIRQTIQh3cwghFBMiCKQFKBgRHAd2eQgeEhIeCHp1AeASHxcNCv59ExQUEwEe/uITFBQTAYMNCRchEhL+zwEuExMTE/7RATH//wAU//sDRAL5ACIBxQAAAAMCvAJCAAD//wAU//sDRAL6ACIBxQAAAAMCvwJCAAD//wAU//sDRALNACIBxQAAAAMCuQJCAAD//wAU//sDRAL5ACIBxQAAAAMCuwJCAAAAAQAa//oB+wHyACMAT0AJIhkQBwQAAgFKS7ALUFhADQMBAgIfSwEBAAAgAEwbS7ANUFhADQMBAgIfSwEBAAAdAEwbQA0DAQICH0sBAQAAIABMWVm2JCokIwQHGCskFRQGIyInJwcGIyImNTQ3NycmNTQ2MzIXFzc2MzIWFRQHBxcB+yIXGRKNjRMYFiISkooSIhYYE4WFExgXIRKKk0oXFiMVnJwUIhYXEp+WEhcXIRSSkhQhFxcSlp8AAQAK/0cCBQHzABsAHEAZGhACAQABSgIBAAAfSwABARkBTComIQMHFysANjMyFhUUBwEGIyImNTQ3NwMmNTQ2MzIWFxMTAZ4bEBclBv7vESQXIwZEugUnGREcCIyLAeERHxcLDP3EIh0WCw6PAYMKDRcgERL+ywE0AP//AAr/RwIFAvkAIgHLAAAAAwK8AZ4AAP//AAr/RwIFAvoAIgHLAAAAAwK/AZ4AAP//AAr/RwIFAs0AIgHLAAAAAwK5AZ4AAP//AAr/RwIFAtEAIgHLAAAAAwK6AZ4AAP//AAr/OgIFAfMAIgHLAAAAAwLKAjAAAP//AAr/RwIFAvkAIgHLAAAAAwK7AZ4AAP//AAr/RwIFAvgAIgHLAAAAAwLFAZ4AAP//AAr/RwIFArcAIgHLAAAAAwLEAZ4AAP//AAr/RwIFAtUAIgHLAAAAAwLDAZ4AAAABACIAAAHlAekAGgAlQCIAAQECXQACAhdLBAEDAwBdAAAAFQBMAAAAGgAZNCUzBQcXKyQVFAYjISImNTQ3ASMiJjU0NjMhMhYVFAcBMwHlHBz+shkgEgEB3xwcHBwBQxofEf7+6l4vFhkgFhcVASkYFxcYHxcYFP7X//8AIgAAAeUC+QAiAdUAAAADArwBnAAA//8AIgAAAeUC+gAiAdUAAAADAsABnAAA//8AIgAAAeUC0QAiAdUAAAADAroBnAAA//8AIv86AeUB6QAiAdUAAAADAsoBkwAA//8AQf9KAjEC+QAiAUAAAAAjArwBFQAAACMBUAD+AAAAAwK8AhIAAAACACb/+AIZAfUAHAAoAGBAChgBBAIKAQAFAkpLsAlQWEAZAAQEAl8GAwICAh9LBwEFBQBfAQEAAB0ATBtAGQAEBAJfBgMCAgIfSwcBBQUAXwEBAAAgAExZQBQdHQAAHSgdJyMhABwAGyYlJQgHFysAFhURFAYjIiY1NQYGIyImJjU0NjYzMhYXNTQ2MwI2NTQmIyIGFRQWMwH3IiIcHCIWUzVAYjc3YkA1UxYiHH9BQTw7QkI8AfMgG/5+GyAgGxkpLj9yS0x1QC0pGhog/mZSS0xSVExKUf//ACb/+AIZAvkAIgHbAAAAAwK8AcMAAP//ACb/+AIZAuIAIgHbAAAAAwLBAcMAAP//ACb/+AIZAyQAIgHbAAAAAwL5AcMAAP//ACb/OgIZAuIAIgHbAAAAIwLKAcMAAAADAsEBwwAA//8AJv/4AhkDJAAiAdsAAAADAvoBwwAA//8AJv/4AhkDJgAiAdsAAAADAvsBwwAA//8AJv/4AhkDJAAiAdsAAAADAvwBwwAA//8AJv/4AhkC+gAiAdsAAAADAsABwwAA//8AJv/4AhkC+gAiAdsAAAADAr8BwwAA//8AJv/4AisDJgAiAdsAAAADAv0BwwAA//8AJv86AhkC+gAiAdsAAAAjAsoBwwAAAAMCvwHDAAD//wAm//gCGQMoACIB2wAAAAMC/gHDAAD//wAm//gCGgMlACIB2wAAAAMC/wHDAAD//wAm//gCGQMuACIB2wAAAAMDAAHDAAD//wAm//gCGQL7ACIB2wAAAAMCxgHDAAD//wAm//gCGQLNACIB2wAAAAMCuQHDAAD//wAm//gCGQLRACIB2wAAAAMCugHDAAD//wAm/zoCGQH1ACIB2wAAAAMCygHDAAD//wAm//gCGQL5ACIB2wAAAAMCuwHDAAD//wAm//gCGQL4ACIB2wAAAAMCxQHDAAD//wAm//gCGQLkACIB2wAAAAMCxwHDAAD//wAm//gCGQK3ACIB2wAAAAMCxAHDAAAAAgAm/z0CRgH1ADEAPQClQAsfAQYDEQ4CAgcCSkuwFVBYQCIABgYDXwQBAwMfSwgBBwcCXwACAiBLBQEAAAFgAAEBGQFMG0uwMVBYQCkAAAIFAgAFfgAGBgNfBAEDAx9LCAEHBwJfAAICIEsABQUBYAABARkBTBtAJgAAAgUCAAV+AAUAAQUBZAAGBgNfBAEDAx9LCAEHBwJfAAICIAJMWVlAEDIyMj0yPCYqJSYqJREJBxsrBDMyFhUUBwYjIiY1NDY3JjU1BgYjIiYmNTQ2NjMyFhc1NDYzMhYVERQGBwYVFBYzMjcmNjU0JiMiBhUUFjMCKgQLDREkLzVGICAKFlM1QGI3N2JANVMWIxsbIw8QPyAZFhrIQUE8O0JCPHMRDBQKFT0xITUSDxMaKS4/cktMdUAtKRocHh4d/n0RGwcWMRseCc5SS0xSVExKUQD//wAm//gCGQL4ACIB2wAAAAMCwgHDAAAABAAm//gCGQNZABUAIQA+AEoApkAPEAcCBAA6AQkHLAEFCgNKS7AJUFhAMAABAAGDAAAMAQQDAARnAAMLAQIHAwJnAAkJB18NCAIHBx9LDgEKCgVfBgEFBR0FTBtAMAABAAGDAAAMAQQDAARnAAMLAQIHAwJnAAkJB18NCAIHBx9LDgEKCgVfBgEFBSAFTFlAJz8/IiIWFgAAP0o/SUVDIj4iPTg2MC4pJxYhFiAcGgAVABQjJA8HFisAJjU0NjMyFzc2MzIWFRQHBxYVFAYjJgYVFBYzMjY1NCYjFhYVERQGIyImNTUGBiMiJiY1NDY2MzIWFzU0NjMCNjU0JiMiBhUUFjMBAD4+LRwWVhQXFB4hZQs+LBQaGhQTGhoTyiIiHBwiFlM1QGI3N2JANVMWIhx/QUE8O0JCPAIoPCwsPAxZFB4THRE6GBgsPJcbFBQbGxQUG8wgG/5+GyAgGxkpLj9yS0x1QC0pGhog/mZSS0xSVExKUf//ACb/+AIZAtUAIgHbAAAAAwLDAcMAAAAC//n/+gIvAtEACwA2AMBLsAtQWEAgCQEBAQBfBwEAABxLBQEDAwZfCggCBgYXSwQBAgIgAkwbS7ANUFhAIAkBAQEAXwcBAAAcSwUBAwMGXwoIAgYGF0sEAQICHQJMG0uwEVBYQCAJAQEBAF8HAQAAHEsFAQMDBl8KCAIGBhdLBAECAiACTBtAJAAHBxRLCQEBAQBfAAAAHEsFAQMDBl8KCAIGBhdLBAECAiACTFlZWUAcDAwAAAw2DDUsKSQiIB4bGRYVEhAACwAKJAsHFSsAJjU0NjMyFhUUBiMWFREUBiMiJjURIxEUBiMiJjURIyI1NDMzNTQ2Nzc2MzIVFAYHBwYGFRUhAcMoKCIhKSkhPiMbGyTGIxsbJDI4ODJjWhcFCjUYFRYuKgELAkwlHh4kJB4eJWMv/nwdHx8dAVX+qx0eHh0BVS8vBV1tCAIBLRYYAgIEMS8X////+f/6AiQCxgAiATIAAAADAVUBZgAA//8ATP/6AjMCxgAiAFQAAAADAGMBGQAA//8ANf9KAcYC0QAiAUAAAAAjAroBFQAAACMBUAD+AAAAAwK6AhIAAAACABUBkwEzAsYAJAAvAHi1CQEABwFKS7AdUFhAKAAEAwIDBAJ+AAIABgcCBmcAAwMFXwgBBQVESwEBAAAHXwkBBwc/AEwbQCUABAMCAwQCfgACAAYHAgZnCQEHAQEABwBjAAMDBV8IAQUFRANMWUAWJSUAACUvJS4qKAAkACMiIyQlJQoJGSsSFhUVFAYjIiY1NQYGIyImNTQ2MzM1NCYjIgcGIyImNTQ3NjYzFjY1NSMiBhUUFjPwQxwXFBwLLRwsO0pcFBQZHygLDRASGBU/HwQfCi8iFBECxkBEfBoZGRoBGRs5JS0oDhUREQUXDhkLCg/uHBgKEBANEQACABIBkwFYAsYACwAXACxAKQACAgBfAAAAREsEAQEBA18FAQMDPwFMDAwAAAwXDBYSEAALAAokBgkVKxImNTQ2MzIWFRQGIzY2NTQmIyIGFRQWM2ZUVE9OVVVOHSAfHh0eHxwBk1dDQ1ZXQkNXUiYiIyQkIyImAAACABUAAALRAscAEgAVAAi1FBMNAwIwKyQVFAYjISImNTQ3ATY2MzIWFwEBAyEC0SQY/b0YJQcBFAklFRUlCQEV/qnNAZlBDhccHBcJEQJRFBUVFP2vAef+NgABACD/TAIyAsEAHQAGsw8CATArBBUUIyEiJjU0NxMDJjU0NjMhMhUUIyETFhUUBwMhAjI8/mMaHxDz8xAfGgGdPDz+yMsWF8oBOEwzNR8XGBYBVwFWFhgXHzUz/uUfGBcg/uQAAQAyAAAC7QLKADMABrMpAwEwKyQWFRQjIyImNTQ3NjY1NCYjIgYVFBYXFhUUBiMjIjU0NjMzLgI1NDY2MzIWFhUUBgYHMwLOHzy+GR4PXkNzaWl0RF4PHhq+PB8dc0lJHVWea2meVh1KR3JoGhk1HhcXGZSRNU5WVk41j5YYGBceNRkaYnZVLVF3QEF3UC5Wd18AAAEAPv9HAgIB8wAoAAazEgABMCsAFhURFAYjIiY1NQYGIyInFRQGIyImNRE0NjMyFhUVFBYzMjY1NTQ2MwHgIiMcGiEXTjEfGCMdHCEhHR0iKywyQSEdAfMfHP58GiAfGRkoKwmAGiAfGQI5HB8fHPc1MUQ63xwfAAH/+f/4AlsB6QAmAAazGw8BMCskFRQGJycmJjU1IwYGBwYGIyImNTQ3NjcjIjU0MyEyFRQjIxUUFxcCWyckHFVSaAIZHAcjFBomAzAGODg4Ado3N0FDHFQqGRgCAgZaVNpnsk8VFh4aCgqZri8vLy/jSgUCAAACACv/9wItAsoACwAXACxAKQACAgBfAAAAHEsFAQMDAV8EAQEBHQFMDAwAAAwXDBYSEAALAAokBgcVKxYmNTQ2MzIWFRQGIzY2NTQmIyIGFRQWM6+EhH19hIR9RD4+REQ+PkQJubGwubmwsLplfYiJe3yIiH0AAQBgAAACMQLGABoAMEAtCgECAwFKAAIDAQMCAX4AAwMWSwUEAgEBAF4AAAAVAEwAAAAaABkmIyIyBgcYKyQVFCMhIjU0MzMRBwYjIiY1NDc3NjMyFhURMwIxPP6uPT1oYA4LFR0amx4bHCJpaDM1NTMByDsIJBYdEGASIh794gABADMAAAIuAsoAJwAuQCsAAgEEAQIEfgABAQNfAAMDHEsFAQQEAF0AAAAVAEwAAAAnACYnJCoyBgcYKyQVFCMhIiY1NDc3NjY1NCYjIgYHBgYjIiY1NDY3NjYzMhYVFAYHByECLjz+hBoeF+QqJzYyKU0nChQKERkLDCx2O2d7ND6tAQhoMzUfFx4Y9S5NJi8yHxsHCSAWDxYKIyloWD1rQrgAAAEAKP/4AhoCygA6AEFAPjoBAwQBSgAGBQQFBgR+AAEDAgMBAn4ABAADAQQDZwAFBQdfAAcHHEsAAgIAXwAAACAATCcjIzQ0JCYkCAccKwAWFRQGIyImJyY1NDYzMhYXFhYzMjY1NCYjIyImNTQ2MzMyNTQmIyIHBgYjIiY1NDY3NjYzMhYVBgYHAddDhnJBeCoXGREKEA4qTC1CQENGORcZGRcoiTozSVMOEAoRGQsMKnU9aHsBOzUBWllCW2woJBQbFh8HCBweNTY1Mx8UFR5nMDQ6CAcfFg8VCyMpZlU6VxQAAAIAHf/6AkkCxwAcAB8Ab7UfAQQDAUpLsAtQWEAWBQYCBAIBAAEEAGcAAwMWSwABASABTBtLsA1QWEAWBQYCBAIBAAEEAGcAAwMWSwABAR0BTBtAFgUGAgQCAQABBABnAAMDFksAAQEgAUxZWUAPAAAeHQAcABsnIyMjBwcYKyQWFRQjIxUUBiMiJjU1ISImNTQ3ATY2MzIWFREzITMRAisePDMjHBwj/vobHhABNQoeEBomM/6Vuu4aGDJPHyIiH08fFxgWAbwODyIf/mgBDQABAD3/+AIwAsEAMABGQEMuAQMHAUoABAMBAwQBfgABAgMBAnwIAQcAAwQHA2cABgYFXQAFBRRLAAICAF8AAAAgAEwAAAAwAC8iNSMkJCYmCQcbKwAWFhUUBgYjIiYnJjU0NjMyFhcWFjMyNjU0JiMiBgcGIyImNRE0NjMhMhUUIyEVNjMBk2U4P3NLPncqFxkRChIMKEwrQkZHPic9IBMUFBwgHQFNPDz+9DNKAcM5ZkJFajspIxQbFh8HCBweQj07RRYaDRgUATgcIDIyviQAAgAs//cCMQLKACIALgBFQEIfAQUEAUoAAgMEAwIEfgcBBAAFBgQFZwADAwFfAAEBHEsIAQYGAF8AAAAdAEwjIwAAIy4jLSknACIAISMnJSYJBxgrABYWFRQGBiMiJjU0NjYzMhYXFhYVFAYjIiYnJiMiBgc2NjMSNjU0JiMiBhUUFjMBlmI3PWtEhpFEf1Y5cygNCxkRChINU0FJVAIXXDkcQkI3OEVFOAHEOWdCRGs8tahzqVopIwsVDxYfBwg6h3otNf6ZRzo6Rkc5OkcAAAEAK//4Ai0CwQATAB9AHAABAQJdAwECAhRLAAAAIABMAAAAEwARJSYEBxYrABYVFAcBBiMiJjU0NwEhIjU0MyECERwO/sEUIxglCgEf/tI8PAGQAsEdFxcZ/b0iIRgREQIGMzUAAAMAJP/4AjQCygAXACEAKQA9QDoXCwIEAgFKAAIABAUCBGcGAQMDAV8AAQEcSwcBBQUAXwAAACAATCIiGBgiKSIoJiQYIRggKSokCAcXKwAWFRQGIyImNTQ2NyYmNTQ2MzIWFRQGByQVFBYzMjY1NCMSNTQjIhUUMwHxQ4x8fIxEPjU8hHNzhDw0/vw/Pj4/fY+Pj48BWVpBXWlpXUFbEBRVOVhmZlg6VhL7ZjM1NTNm/fhra2trAAACACf/9wIsAsoAIgAuAEVAQhcBAwYBSgABAwIDAQJ+CAEGAAMBBgNnAAUFBF8HAQQEHEsAAgIAXwAAAB0ATCMjAAAjLiMtKScAIgAhJCMnJQkHGCsAFhUUBgYjIiYnJiY1NDYzMhYXFjMyNjcGBiMiJiY1NDY2MxI2NTQmIyIGFRQWMwGbkUR/VjlzKA0LGREKEg1TQUlUAhdcOT9iNz1rRD9FRTg3QkI3Asq1qHOpWikjCxUPFh8HCDqHei01OWdCRGs8/plHOTpHRzo6RgAAAQBh//oBjQLGABUAXLUMAQIAAUpLsAtQWEATAAIAAQACAX4AAAAWSwABASABTBtLsA1QWEATAAIAAQACAX4AAAAWSwABAR0BTBtAEwACAAEAAgF+AAAAFksAAQEgAUxZWbUlJSADBxcrADMyFhURFAYjIiY1EQcGIyImNTQ3NwE0GxwiJB0cJGAOCxUdGpsCxiIe/bUfIiIfAfU7CCQWHRBgAAABAGH/+gGNAe4AFQBctQwBAgABSkuwC1BYQBMAAgABAAIBfgAAABdLAAEBIAFMG0uwDVBYQBMAAgABAAIBfgAAABdLAAEBHQFMG0ATAAIAAQACAX4AAAAXSwABASABTFlZtSUlIAMHFysAMzIWFREUBiMiJjURBwYjIiY1NDc3ATQbHCIkHRwkYAwPFBwamwHuIh7+jR8iIh8BKTwIHhQaEGAAAAIAKf/4Ai8B9QAPABsALEApAAICAF8AAAAfSwUBAwMBXwQBAQEgAUwQEAAAEBsQGhYUAA8ADiYGBxUrFiYmNTQ2NjMyFhYVFAYGIzY2NTQmIyIGFRQWM+J2Q0N2Skp2Q0N2Sj9NTT8/TU0/CEF0Skp0QEB0Skp0QWFXR0dXV0dHVwABAGEAAAIlAe4AHgAwQC0OAQIDAUoAAgMBAwIBfgADAxdLBQQCAQEAXgAAABUATAAAAB4AHSYjJDQGBxgrJBYVFAYjISImNTQ2MzMRBwYjIiY1NDc3NjMyFhURMwIKGxsV/qYVGxsVcWAMDxQcGpseGxwiaF4bFBQbGxQUGwEFOwgeFBoQYBIiHv6wAAEATwAAAhsB9QAlAC5AKwACAQQBAgR+AAEBA18AAwMfSwUBBAQAXQAAABUATAAAACUAJCYjKTQGBxgrJBYVFAYjISImNTQ2NzY2NTQjIgYHBiMiJjU0NzY2MzIWFRQGBzMB/xwcFP6bGRwREJF7WyY8ISANDxUgI2M1Y3B8guxfGxQVGx8WEBwHRGozShAODhwVIhITFlRMSnsxAAEAPP9EAg4B9QA6AEFAPjoBAwQBSgAGBQQFBgR+AAEDAgMBAn4ABAADAQQDZwAFBQdfAAcHH0sAAgIAXwAAABkATCYkJDQzIyYlCAccKyQWFRQGBiMiJicmNTQ2MzIXFhYzMjU0JiMjIiY1NDYzMzI2NTQmIyIGBwYGIyImNTQ3NjYzMhYVBgYHAc5APG1HOmUjIBUPDh8lOih/R0QfFhoaFhBCRjUyIjIkAyAMDxUgImEta3MBOC+TVjo4VzAWFBIhFRwODhBoMDIZFhYaNzMrLw8OAQ4cFSISExZeVDVVFAACACr/RgIwAfEAHQAgADBALSABBAMBSgADAx9LBQYCBAQAXwIBAAAVSwABARkBTAAAHx4AHQAcJyMjJAcHGCskFhUUBiMjFRQGIyImNTUjIiY1NDcBNjYzMhYVETMhMzUCGBgYEzAiGRki+R0fFQEfCh8RGSQw/pnBXxsUFRt+GiIiGn4hGR0bAWUMDiAe/qzwAAEAVv9EAigB6QAwAEZAQy4BAwcBSgAEAwEDBAF+AAECAwECfAgBBwADBAcDZwAGBgVdAAUFF0sAAgIAXwAAABkATAAAADAALyQ1IyQjJiUJBxsrJBYWFRQGIyImJyY1NDYzMhcWFjMyNjU0JiMiBgcGIyImNRE0NjMhMhYVFAYjIRU2MwGSYTWHczNiIyAVDw4fITwnPUVEOSNDGA8WExscFAFWFBsbFP7wOEb4N2JAZXYWFBIhFRwODhBCNzZBGhcOGhYBMxQbGxQVG7gmAAACADH/9wIqAsoAIgAuAEVAQh8BBgUBSgACAwQDAgR+BwEEAAUGBAVnAAMDAV8AAQEcSwgBBgYAXwAAAB0ATCMjAAAjLiMtKScAIgAhJRYlJgkHGCsAFhYVFAYGIyImNTQ2NjMyFhcWFRQGIyImJyYmIyIGBzY2MxI2NTQmIyIGFRQWMwGTYDc7aUOCkEWBWChaJCAVEAYTCyA2I01YARdbORpCQzU1RkY2AcQ2Z0dDajy2p3SoWhUVESIWGwgFDxCMfS82/pVKOztKSzo7SgAAAQA//0QCHwHpABYAH0AcAAEBAl0DAQICF0sAAAAZAEwAAAAWABQlJwQHFisAFhUUBwEGBiMiJjU0NwEhIiY1NDYzIQIDHAz+2QgZDhgnCAEP/tkUGxsUAXoB6SEZFxf94A4PIhgNDgHxGxUUGwADACn/+AIvAsoAGwAnADMAPUA6Gw0CBAIBSgACAAQFAgRnBgEDAwFfAAEBHEsHAQUFAF8AAAAgAEwoKBwcKDMoMi4sHCccJissJQgHFysAFhUUBgYjIiYmNTQ2NyYmNTQ2NjMyFhYVFAYHJgYVFBYzMjY1NCYjEjY1NCYjIgYVFBYzAetEQHVOTnVART41PTxuSEhuPDw0u0JDODhDQjlCS0tCQktLQgFYWkA8WTExWTxBWhEUVjg5Vi8vVjk5VhP/ODEwOjowMTj98DozMzo6MzM6AAIALv9FAicB9AAiAC4ARUBCFwEDBgFKAAEDAgMBAn4IAQYAAwEGA2cABQUEXwcBBAQfSwACAgBfAAAAGQBMIyMAACMuIy0pJwAiACEkJRYlCQcYKwAWFRQGBiMiJicmNTQ2MzIWFxYWMzI2NwYGIyImJjU0NjYzEjY1NCYjIgYVFBYzAZaRRYJXKFokIBUQCBoDHjgjSVkDF1c2P2M3PGlCPEZGNTVCQzQB9LCba6FYFRQSIhYbDAEOEX1rLTQ5ZkJBaDz+nEk4OElIOTlIAP//ABn//AFjAasAAgIhAAD//wA/AAABYgGoAAICIgAA//8AIAAAAWQBqwACAiMAAP//ABr//AFYAasAAgIkAAD//wAQ//wBdAGqAAICJQAA//8AJP/8AWEBpwACAiYAAP//AB3//AFiAasAAgInAAD//wAX//sBZQGnAAICKAAA//8AFv/8AWYBqwACAikAAP//ABr//AFfAasAAgIqAAAAAgAZ//wBYwGrAAsAFwAqQCcAAAACAwACZwUBAwMBXwQBAQEVAUwMDAAADBcMFhIQAAsACiQGBxUrFiY1NDYzMhYVFAYjNjY1NCYjIgYVFBYzcFdXTk5XV04fHR4eHx0dHwRua2ltbmlqblE/SEZAP0dIPwABAD8AAAFiAagAGgAtQCoKAQIDAUoAAwIDgwACAQKDBQQCAQEAXgAAABUATAAAABoAGSYjIjIGBxgrJBUUIyMiNTQzMzUHBiMiJjU0Nzc2MzIWFREzAWI2qDU1HiMMChEZFlIaGhgcHVYqLCwq3BQGHBIZDC4PHBn+4wAAAQAgAAABZAGrACYALEApAAIBBAECBH4AAwABAgMBZwUBBAQAXQAAABUATAAAACYAJScjKTMGBxgrJBYVFCMjIiY1NDc3NjU0JiMiBwYGIyImNTQ2NzY2MzIWFRQGBwczAUoaNdoWGxZ+KBgXHiwJEAoQFAgMG0giQ1EeJlh+VhUVLBkTGBaHKyEVFhoEBhsODRIIEhVCNSQ7JlkAAQAa//wBWAGrADoAP0A8OgEDBAFKAAYFBAUGBH4AAQMCAwECfgAHAAUGBwVnAAQAAwEEA2cAAgIAXwAAABUATCYjJDQzJCckCAccKyQWFRQGIyImJyYmNTQ2MzIWFxYWMzI1NCYjIyImNTQ2MzMyNjU0JiMiBwYGIyImNTQ3NjYzMhYVFAYHAS8pVE4mSxkKCBQQCxQDFCYYQCEhJRIWFhIaISAbGR8sCREJERMUGkcjRk8jH880JzVDFBQJEgwOHAoCDA4uGBYZEREZFhgVFhoEBhwRFg0SFUIyITELAAACABD//AF0AaoAHAAfAC5AKx8BBAMBSgUGAgQCAQABBABnAAMDAV8AAQEVAUwAAB4dABwAGyYjIyQHBxgrJBYVFAYjIxUUBiMiJjU1IyImNTQ3NzYzMhYVFTMjMzUBXBgZFhIbFhYakhYaDrASHhYfEtdklhQTExUaGBkZGBobFBQU9BgdGt2JAAABACT//AFhAacALgBEQEEsAQMHAUoABAMBAwQBfgABAgMBAnwABQAGBwUGZQgBBwADBAcDZwACAgBfAAAAFQBMAAAALgAtIjUVJCMmJAkHGysAFhUUBiMiJicmNTQ2MzIWFxYzMjY1NCYjIgcyBwYjIiY1NTQ2MzMyFRQjIxU2MwEVTF1II0oZEhIRCxQDKiQhJCQdGCEBHAMGEhkbGbk2NoweKQETSD5DThUTDhURHQoCGR0aGx4LCAEYFJsZGysqURIAAgAd//wBYgGrAB4AKgBDQEAbAQUEAUoAAgMEAwIEfgABAAMCAQNnBwEEAAUGBAVnCAEGBgBfAAAAFQBMHx8AAB8qHyklIwAeAB0iJyQkCQcYKwAWFRQGIyImNTQ2MzIWFxYWFRQGIyInJiMiBgc2NjMWNjU0JiMiBhUUFjMBFkxXQ09cZVAhQRoLCBMQDhQqHyMpBA8xGwYgHxwdIiEcAQ5FPkJNaGhscxQTCRENDhwKGjg2EhPGIR0dISEdHSEAAQAX//sBZQGnABQAN0uwCVBYQA8DAQIAAQACAWUAAAAdAEwbQA8DAQIAAQACAWUAAAAgAExZQAsAAAAUABIlJgQHFisAFhUUBwMGIyImNTQ3EyMiJjU0MzMBTBkMtg8fFiAImpUcGTXqAacaFBUU/sgdHRUPDQEFFhYtAAMAFv/8AWYBqwAXACEALAA7QDgXCwIEAgFKAAEGAQMCAQNnAAIABAUCBGcHAQUFAF8AAAAVAEwiIhgYIiwiKygmGCEYICkqJAgHFyskFhUUBiMiJjU0NjcmJjU0NjMyFhUUBgcmFRQWMzI2NTQjEjY1NCYjIgYVFDMBPSlZT09ZKSYgJVVJSlQlIJYgHR0gPSMkJCMjJEfPNCY4QUE4JjUKDDIgNT4+NSEzCoMwFxkZFzD+7BoZGBsbGDMAAgAa//wBXwGrAB4AKgBDQEAVAQMGAUoAAQMCAwECfgcBBAAFBgQFZwgBBgADAQYDZwACAgBfAAAAFQBMHx8AAB8qHyklIwAeAB0kIickCQcYKwAWFRQGIyImJyYmNTQ2MzIXFjMyNjcGBiMiJjU0NjMWNjU0JiMiBhUUFjMBA1xlUCFBGgsIExAOFCofIykEDzEbOExXQxwiIRwdIB8cAatoaGxzFBMJEQ0OHAoaODYSE0U+Qk3IIR0dISEdHSH//wAZARYBYwLFAQcCIQAAARoACbEAArgBGrAzKwAAAQA/ARoBYgLCABoALUAqCgECAwFKAAIDAQMCAX4FBAIBAAABAGIAAwMUA0wAAAAaABkmIyIyBgcYKwAVFCMjIjU0MzM1BwYjIiY1NDc3NjMyFhURMwFiNqg1NR4jDAoRGRZSGhoYHB0BcCosLCrcFAYcEhkMLg8cGf7j//8AIAEaAWQCxQEHAiMAAAEaAAmxAAG4ARqwMysAAAEAGgEWAVgCxQA6AD5AOzoBAwQBSgAGBQQFBgR+AAEDAgMBAn4ABAADAQQDZwACAAACAGMABQUHXwAHBxYFTCYjJDQzJCckCAccKwAWFRQGIyImJyYmNTQ2MzIWFxYWMzI1NCYjIyImNTQ2MzMyNjU0JiMiBwYGIyImNTQ3NjYzMhYVFAYHAS8pVE4mSxkKCBQQCxQDFCYYQCEhJRIWFhIaISAbGR8sCREJERMUGkcjRk8jHwHpNCc1QxQUCRIMDhwKAgwOLhgWGRERGRYYFRYaBAYcERYNEhVCMiExCwD//wAQARYBdALEAQcCJQAAARoACbEAArgBGrAzKwD//wAkARYBYQLBAQcCJgAAARoACbEAAbgBGrAzKwD//wAdARYBYgLFAQcCJwAAARoACbEAArgBGrAzKwD//wAXARUBZQLBAQcCKAAAARoACbEAAbgBGrAzKwD//wAWARYBZgLFAQcCKQAAARoACbEAA7gBGrAzKwD//wAaARYBXwLFAQcCKgAAARoACbEAArgBGrAzKwD//wAZARYBYwLFAQcCIQAAARoACbEAArgBGrAzKwD//wA/ARoBYgLCAQcCIgAAARoACbEAAbgBGrAzKwD//wAgARoBZALFAQcCIwAAARoACbEAAbgBGrAzKwD//wAaARYBWALFAQcCJAAAARoACbEAAbgBGrAzKwD//wAQARYBdALEAQcCJQAAARoACbEAArgBGrAzKwD//wAkARYBYQLBAQcCJgAAARoACbEAAbgBGrAzKwD//wAdARYBYgLFAQcCJwAAARoACbEAArgBGrAzKwD//wAXARUBZQLBAQcCKAAAARoACbEAAbgBGrAzKwD//wAWARYBZgLFAQcCKQAAARoACbEAA7gBGrAzKwD//wAaARYBXwLFAQcCKgAAARoACbEAArgBGrAzKwAAAf91/+4BSQLTAA8AE0AQAAEBHEsAAAAdAEwmIAIHFisGIyImNTQ3ATYzMhYVFAcBQB4SGwoBbRIeEhsK/pMSGxQQEQJ1IBsUEBH9iwD//wA//+4DngLTACICLAAAACMCPwF8AAAAAwIjAjoAAP//AD//7gOuAtMAIgIsAAAAIwI/AXwAAAADAiUCOgAA//8AGv/uA64C0wAiAi4AAAAjAj8BfAAAAAMCJQI6AAAAAQAWAVgBrgLGADMAW0AKKQEEBQ8BAQACSkuwCVBYQBkCAQEAAAFvCAcCBAMBAAEEAGYGAQUFFgVMG0AYAgEBAAGECAcCBAMBAAEEAGYGAQUFFgVMWUAQAAAAMwAyJCUkJSQlJAkHGysAFhUUBicnFxYVFAYjIicnBwYjIiY1NDc3BwYmNTQ2FxcnJjU0NjMyFxc3NjMyFhUUBwc3AZgWFhRiNgcdEhcLLCwMFhIdBzZiFBYWFGI2Bx0SFwssLAsYER0HNmICOxkSEhoBBVELCxEZFVdXFhkRDApSBQEZEhIaAQVRCgwRGBVXVxYZEQwKUQUAAAH/9f+5AUMC9wARABFADgAAAQCDAAEBdCckAgcWKwMmNTQ2MzIWFxMWFRQGIyImJwgDHxQQGgboAx8UEBoGArUJCRUbEhP9KQkJFRsSEwAAAQAyAMAAxgFWAAsAHkAbAAABAQBXAAAAAV8CAQEAAU8AAAALAAokAwcVKzYmNTQ2MzIWFRQGI1wqKiAgKiogwCsgICsrICArAAABAFEAWAG7AbsADwAeQBsAAAEBAFcAAAABXwIBAQABTwAAAA8ADiYDBxUrNiYmNTQ2NjMyFhYVFAYGI9ZUMS9TMzBTMjFTMVgvUTEuUjIvUTIwUTAAAAIAMv/6AMYB8wALABcAbkuwC1BYQBcEAQEBAF8AAAAfSwACAgNfBQEDAyADTBtLsA1QWEAXBAEBAQBfAAAAH0sAAgIDXwUBAwMdA0wbQBcEAQEBAF8AAAAfSwACAgNfBQEDAyADTFlZQBIMDAAADBcMFhIQAAsACiQGBxUrEiY1NDYzMhYVFAYjAiY1NDYzMhYVFAYjXCoqICAqKiAgKiogICoqIAFeKyAgKiogICv+nCsgICsrICArAAEAMv99AMYAkAATACVAIg0BAAEBSgIBAQAAAVcCAQEBAF8AAAEATwAAABMAEiUDBxUrNhYVFAcGIyImNTQ3NjcmJjU0NjOcKkINDw8WCh4JHSUpH5AyMF9FDRQODAsgKAMnHSArAAMAMv/6ArcAkAALABcAIwBnS7ALUFhAEgQCAgAAAV8IBQcDBgUBASABTBtLsA1QWEASBAICAAABXwgFBwMGBQEBHQFMG0ASBAICAAABXwgFBwMGBQEBIAFMWVlAGhgYDAwAABgjGCIeHAwXDBYSEAALAAokCQcVKxYmNTQ2MzIWFRQGIzImNTQ2MzIWFRQGIzImNTQ2MzIWFRQGI1wqKiAgKiog2SoqIB8qKh/YKiogICoqIAYrICArKyAgKysgICsrICArKyAgKysgICsAAgAw//oAyALGAA8AGwB2tgoEAgEAAUpLsAtQWEAXBAEBAQBfAAAAFksAAgIDXwUBAwMgA0wbS7ANUFhAFwQBAQEAXwAAABZLAAICA18FAQMDHQNMG0AXBAEBAQBfAAAAFksAAgIDXwUBAwMgA0xZWUASEBAAABAbEBoWFAAPAA4mBgcVKzYmJwMnNDYzMhYVBwMGBiMGJjU0NjMyFhUUBiNtFQIlASshISsBJQIVDyAqKiAgKiogzBQTAYUKHyUlHwv+fBMU0isgICsrICArAAIAMv9GAMYB8wALABwAMkAvGQEDAgFKBAEBAQBfAAAAH0sAAgIDXwUBAwMZA0wMDAAADBwMGxUTAAsACiQGBxUrEiY1NDYzMhYVFAYjAiY1NDcTNjYzMhYXExcUBiNcKiogICoqICApASICFQ8PFQIjASogAV0rICArKyAgK/3pIx8JBAFlExUVE/6bCx8lAAIAIP/7AjgCyQBLAE8AjEAMQTYCCAkbEAICAQJKS7AJUFhAJwwKAggOEA0DBwAIB2YRDwYDAAUDAgECAAFlCwEJCRxLBAECAh0CTBtAJwwKAggOEA0DBwAIB2YRDwYDAAUDAgECAAFlCwEJCRxLBAECAiACTFlAIkxMAABMT0xPTk0ASwBKRkQ/PTo5NDIkISQlIxUjJCESBx0rAQczMhYVFAYjIwcGBiMiJjU0NzcjBwYGIyImNTQ3NyMiJjU0NjMzNyMiJjU0NjMzNzY2MzIWFRQHBzM3NjYzMhYVFAcHMzIWFRQGIwc3IwcB2ChKEhgYElocAxUQExkBGIAcAhYOExgBGCsSGBgSOyhPEhgYEl8bAxUQExgBF38bAhYQExgBFyYSGBgStSl/KQHN0RgSERaQDhIYEgcEe5AOEhgSBwR7GBIRFtEYEhEWiw4SGBMHBHWLDhIYEgcEdhgSERbR0dEAAQAy//oAxgCQAAsARUuwC1BYQAwAAAABXwIBAQEgAUwbS7ANUFhADAAAAAFfAgEBAR0BTBtADAAAAAFfAgEBASABTFlZQAoAAAALAAokAwcVKxYmNTQ2MzIWFRQGI1wqKiAgKiogBisgICsrICArAAL//f/6AbwCyQAlADEAnUuwC1BYQCYAAQADAAEDfgYBAwQAAwR8AAAAAl8AAgIcSwAEBAVfBwEFBSAFTBtLsA1QWEAmAAEAAwABA34GAQMEAAMEfAAAAAJfAAICHEsABAQFXwcBBQUdBUwbQCYAAQADAAEDfgYBAwQAAwR8AAAAAl8AAgIcSwAEBAVfBwEFBSAFTFlZQBQmJgAAJjEmMCwqACUAJCYjKggHFys2JjU0Njc2NjU0JiMiBgcGIyImNTQ3NjYzMhYWFRQGBwYGBwYGIwYmNTQ2MzIWFRQGI8oVKCYeHDEqJEIsGRARGRgqcjo9XzUyMCkpBQMVEB4qKiAgKisfzBgVN0wtJDAeIScfHQ4fFR0SJCkqSjA0TTAqOSQQEdIrICArKyAgKwAAAgAP/0QBzQHzAAsAMwA/QDwAAgEEAQIEfgAEAwEEA3wGAQEBAF8AAAAfSwADAwVgBwEFBRkFTAwMAAAMMwwyKykmJBoYAAsACiQIBxUrEiY1NDYzMhYVFAYjAiYmNTQ2Njc2Njc2NjMyFhUUBgcGBhUUFjMyNjc2MzIWFRQGBwYGI84qKiAgKiogTF41GiYgKSsFAxUPEhUpJh0cMColRCobDhEYCg0pcjwBXSsgICsrICAr/ecpSi8jNygcIzQlEBIYFjhEJRwpHSAmHhwPHxYPFgokKAD//wA2AZkBjQLGACICUQAAAAMCUQDRAAAAAQA2AZkAvALGAA8AH0AcCgEBAAFKAgEBAQBfAAAAFgFMAAAADwAOJgMHFSsSJycmNTQ2MzIWFRQHBwYjVgYYAiUeHyQCFwYjAZkosQ4FHyIiHwUOsSgAAAIAMv99AMYB8wALAB8AL0AsGQECAwFKBQEDAAIDAmMEAQEBAF8AAAAfAUwMDAAADB8MHhMRAAsACiQGBxUrEiY1NDYzMhYVFAYjFhYVFAcGIyImNTQ3NjcmJjU0NjNcKiogICoqICAqQg0PDxYKHgkdJSkfAV4rICAqKiAgK84yMF9FDRQODAsgKAMnHSArAAH/9f+5AUMC9wARABFADgABAAGDAAAAdCchAgcWKxYGIyImNTQ3EzY2MzIWFRQHA1IaEBQfA+gGGhAUHwPoNRIbFQkJAtcTEhsVCQn9KQAAAQAA/7UB9AAAAA0AJrEGZERAGwAAAQEAVQAAAAFdAgEBAAFNAAAADQALNAMHFSuxBgBEFiY1NDYzITIWFRQGIyEaGhsVAZQVGxoW/mxLFREQFRUQERUAAAEATAC9AOABQgALAB5AGwAAAQEAVwAAAAFfAgEBAAFPAAAACwAKJAMHFSs2JjU0NjMyFhUUBiN0KCgiISkoIr0kHx4kJB4fJAAAAQAf/0wBhALBADEANUAyKQEBAgFKAAIAAQUCAWcABAQDXQADAxRLBgEFBQBdAAAAGQBMAAAAMQAvNDYUFjQHBxkrBBYVFAYjIyImNTU0JicmJjU0Njc2NjU1NDYzMzIWFRQGIyMiBhUVFAYHFhYVFRQWMzMBaBwcFUs6PxwkFxkZFyQcPzpLFRwcFSAVFS8gIC8VFSBWGBcXGEA5wigkAwEbFRUaAQMkKMI5QBgXFxgVF8AtPQcHPC3AFxUAAAEAAP9MAWUCwQAxADVAMhsBAAUBSgYBBQAAAgUAZwADAwRdAAQEFEsAAgIBXQABARkBTAAAADEAMTQ8NDYUBwcZKwAWFRQGBwYGFRUUBiMjIiY1NDYzMzI2NTU0NjcmJjU1NCYjIyImNTQ2MzMyFhUVFBYXAUwZGBgkHD86SxUcHBUgFRUvICAvFRUgFRwcFUs6PxwkATYaFRUbAQMkKMI5QBgXFxgVF8AtPAcHPS3AFxUYFxcYQDnCKCQDAAABAGr/TAFfAsEAHQAlQCIAAQEAXQAAABRLAAICA10EAQMDGQNMAAAAHQAbNTQ1BQcXKxYmNRE0NjMzMhYVFAYjIyIGFREUFjMzMhYVFAYjI6k/PzpLFRwcFSAVFRUVIBUcHBVLtEA5AoM5QBgXFxgVF/2fFxUYFxcYAAEAAP9MAPUCwQAdACVAIgABAQJdAAICFEsAAAADXQQBAwMZA0wAAAAdABs0NTQFBxcrFiY1NDYzMzI2NRE0JiMjIiY1NDYzMzIWFREUBiMjHBwcFSAVFRUVIBUcHBVLOj8/Oku0GBcXGBUXAmEXFRgXFxhAOf19OUAAAQBl/0kBNALHABgAE0AQAAAAFksAAQEZAUwtJQIHFis2NTQ3NjYzMhYVFAcGFRQWFxYVFAYjIiYnZWwMHxARFwVKJCYFFxEQIAsr3N+7ExMVEg4Ltsplu14LDhIVEhMAAQAs/0kA+wLHABgAE0AQAAEBFksAAAAZAEwtIQIHFisWBiMiJjU0NzY2NTQnJjU0NjMyFhcWFRQHhCAQERcFJiRKBRcREB8MbGylEhUSDgteu2XKtgsOEhUTE7vf3L0AAQAAAOYD6AEwAA0AHkAbAAABAQBVAAAAAV0CAQEAAU0AAAANAAs0AwcVKzYmNTQ2MyEyFhUUBiMhGhoaFgOIFhoaFvx45hQRERQUEREUAAABAAAA5gH0ATAADQAeQBsAAAEBAFUAAAABXQIBAQABTQAAAA0ACzQDBxUrNiY1NDYzITIWFRQGIyEaGhoWAZQWGhoW/mzmFBERFBQRERQAAAEAOADmAiABMAANAB5AGwAAAQEAVQAAAAFdAgEBAAFNAAAADQALNAMHFSs2JjU0NjMhMhYVFAYjIVIaGhYBiBYaGhb+eOYUEREUFBERFAAAAQAAAOYD6AEwAA0AHkAbAAABAQBVAAAAAV0CAQEAAU0AAAANAAs0AwcVKzYmNTQ2MyEyFhUUBiMhGhoaFgOIFhoaFvx45hQRERQUEREUAAABADgA2gF6AT0ADQAeQBsAAAEBAFUAAAABXQIBAQABTQAAAA0ACzQDBxUrNiY1NDYzMzIWFRQGIyNVHR0dzh0dHR3O2hoXFxsbFxcaAP//ADgA2gF6AT0AAgJgAAD//wA4ANoBegE9AAICYAAA//8ANQBMAboByAAiAmUAAAADAmUAzwAA//8ANABMAbQByAAiAmYAAAADAmYAzwAAAAEANQBMAOsByAAVAB5AGw0BAQABSgAAAQEAVwAAAAFfAAEAAU8qJgIHFis3JjU0Nzc2MzIWFRQHBxcWFRQGIyInQQwMThEdExsGOjoGHBMcEeUUERITfhsYEwsOenoNCxMZGwABADQATADlAcgAFQAeQBsHAQABAUoAAQAAAVcAAQEAXwAAAQBPKiACBxYrNiMiJjU0NzcnJjU0NjMyFxcWFRQHB4AdExwGOzsGHBMdEEoLC0pMGRMLDXp6DgsTGBt+EhMTEn7//wAy/30BhgCQACICbAAAAAMCbADAAAD//wAyAbMBhgLHACICagAAAAMCagDAAAD//wAyAbIBhgLGACICawAAAAMCawDAAAAAAQAyAbMAxgLHABMAGUAWEwEAAQFKAAAAAV8AAQEWAEwlJAIHFisSFhUUBiMiJjU0NzYzMhYVFAcGB6ElKR4iK0IMEA4XCh4JAkInHSArMjBeRw0VDgwLICgAAQAyAbIAxgLGABMAH0AcDQEAAQFKAAAAAV8CAQEBFgBMAAAAEwASJQMHFSsSFhUUBwYjIiY1NDc2NyYmNTQ2M5wqQgwQDhcKHgkdJSkfAsYyMF5HDRUODAsgKAMnHSArAAABADL/fQDGAJAAEwAlQCINAQABAUoCAQEAAAFXAgEBAQBfAAABAE8AAAATABIlAwcVKzYWFRQHBiMiJjU0NzY3JiY1NDYznCpCDQ8PFgoeCR0lKR+QMjBfRQ0UDgwLICgDJx0gKwABADL/iAJAAzkANgBFQEIdFQIDAQ8HAgAEAkoAAgMFAwIFfgYBBQQDBQR8AAEAAwIBA2cABAAABFcABAQAXwAABABPAAAANgA1JCQpLCoHBxkrJBYVFAYHBgcVFAYjIiY1NSYmNTQ2NzU0NjMyFhUVFhcWFRQGIyImJyYmIyIGFRQWMzI2NzY2MwIqFgoLQFwcFxccc4SCcxwXFhxZRhUWEAoQCyZDJVZdXVYpQCUMDwqnHxYPFQs7Dj4XHR0XQBS8lZS8FEAXHR0XPgw9ER4WHwcIHhuFfHyGHRwIBwABAFL/iAICAmUANQBFQEIcFAIDAQ4GAgAEAkoAAgMFAwIFfgYBBQQDBQR8AAEAAwIBA2cABAAABFcABAQAXwAABABPAAAANQA0JCQpLCkHBxkrJBYVFAcGBxUUBiMiJjU1JiY1NDY3NTQ2MzIWFRUWFxYVFAYjIiYnJiYjIgYVFBYzMjY3NjYzAe0VHzFEHBcWHFViY1QcFhccRS8gFhELFBAYJhk+REM+GScYDxYLiBwVHxUgCD8XHR0XQhKCYmCFFEUWHRwXPwgfFh8WGwkJDQ5RTEtRDw0JCQAAAQAe/4kCUAM6AFMAT0BMUlAIAwIAQQEDBDc1KwMFAwNKAAQBAwEEA34ABwUGBQcGfgAGBoIAAgEAAlcIAQAAAQQAAWcAAwMFXwAFBR0FTC0qJCckJCQqIQkHHSsANjMyFhUUBwcXFhUUBiMiJicmJiMiBhUUFjMyNjc2NjMyFhUUBgcGBiMiJwcGBiMiJjU0NzcmJwcGBiMiJjU0NzcmNTQ2Njc3NjMyFhUUBwcWFzcCBRgNDxcFLAwVFhAKEAsmQyVWXV1WKUAlDA8KEBYKCydoOicfIQYYDRAXBSEfGCgHGA0QFgU7LEF5Ux8OHhAWBRQjHCgDKBIXEgoNcgoRHhYfBwgeG4V8fIYdHAgHHxYPFQslJwdTEREWEgoNUxEYZBESFhEJD5dVeWedWwhPIxYSCQ81Bg1lAAACAFIAHgIHAdMAOABHAQ5LsA9QWEAWHhgUAwYAJiIJBQQHBjQwKgIEAwcDShtLsBVQWEAWHhgUAwYAJiIJBQQHBjQwKgIEBAcDShtAFh4YFAMGASYiCQUEBwY0MCoCBAQHA0pZWUuwD1BYQBgJAQcIBQQDAwcDYwAGBgBfAgECAAAXBkwbS7AVUFhAJAkBBwAEAwcEZwAGBgBfAgECAAAXSwgFAgMDAF8CAQIAABcDTBtLsBdQWEAfAAEABgcBBmcJAQcABAMHBGcIBQIDAwBfAgEAABcDTBtAJQIBAAEDAFcAAQAGBwEGZwkBBwAEAwcEZwIBAAADXwgFAgMAA09ZWVlAGDk5AAA5RzlGQD4AOAA3MzEtLCMlHwoHFys2JjU2NzcmNTQ3JyYmNTQ2MzIWFxc2MzIXNzYzMhYXFAYHBxYVFAcXFhYXBgYjJicnBiMiJwcGBiMkNjU0JiYjIgYGFRQWFjNiEAIIKCspIgcHEwwIDwIjNUpJNyIQCwsSAQcHIyorIggHAQITDQkOJTNKSDUiCQ0IAQBNIUItLkAhIUEtHxUNCwcnNExINiEHDQkLEg0CIiUlIg4RCwkMCCE0Skk3HwoNCg4OAQ4kIiIhCghKVT0mQyoqQyYmQykAAQAg/4gCNgM5AEcAQkA/LycCBQMKAgIAAgJKAAQFAQUEAX4AAQIFAQJ8AAMABQQDBWcAAgAAAlcAAgIAXwAAAgBPPTs3NSwqJCslBgcXKyQGBxUUBiMiJjU1JiYnJiY1NDYzMhYXFhYzMjY1NCYmJy4CNTQ2NzU0NjMyFhUVFhcWFRQGIyImJyYmIyIGFRQWFhceAhUCNm9eHBcXHDlsJw0KGRAKEQ4uWTFDSSg8NkteRHReHBcXHGVJGBkRCREOKUkyPkoqQDdJXEF3bg4/Fx0dFz0FJh8JFhAVIAcIHhw0MR0kFQ4TJ1BEUXIOPxcdHRc+DTwSHRUgBgkdHTcwISkWDhImTUIAAwAv/2wCVwLGAC4AOgBIAJhAChwBCAMOAQEJAkpLsAlQWEAvDAcCBQQBAAMFAGcOAQsACgsKYQAGBhZLAAgIA18AAwMfSw0BCQkBXwIBAQEdAUwbQC8MBwIFBAEAAwUAZw4BCwAKCwphAAYGFksACAgDXwADAx9LDQEJCQFfAgEBASABTFlAIDs7Ly8AADtIO0ZCPy86Lzk1MwAuAC0jJCMmJSMkDwcbKwAWFRQGIyMRFAYjIiY1NQYGIyImJjU0NjYzMhYXNSMiJjU0NjMzNTQ2MzIWFRUzAjY1NCYjIgYVFBYzFhYVFAYjISImNTQ2MyECPxgYEScjGxsjFU8uNlw4OFw2Lk4VZxEYGBFnIxobJSfgPT0yMzw8M9MYGBH+hRIYGREBewJwFRERFf4SHR4eHRcoLDhzVVVyNSsoghURERUiGBwcGCL96lBNTVBSSUlWohYQERUVERAWAAABAAf/9wJRAsoAUACeS7AZUFhAPAAGBwQHBgR+DgENAQwBDQx+CgECCwEBDQIBZwAHBwVfAAUFHEsJAQMDBF8IAQQEF0sADAwAXwAAAB0ATBtAOgAGBwQHBgR+DgENAQwBDQx+CAEECQEDAgQDZwoBAgsBAQ0CAWcABwcFXwAFBRxLAAwMAF8AAAAdAExZQBoAAABQAE9LSUdFQT87OSIkJyIkJCQiJg8HHSskFhUUBwYGIyImJyMiJjU0NjMzJjU0NyMiJjU0NjMzNjYzMhYXFhYVFAYjIiYnJiYjIgYHMzIWFRQGIyMGFRQXMzIWFRQGIyMWFjMyNjc2NjMCORgXLWY0ZoUXQREYGBE4AQE4ERgYEUEXhmUzaCwMCxgSChENJz8hOEMNgBIXFxKIAQGIEhcXEoANQzgfPSsNEQqnHxYdEiUngHYXEREWDBkZDBcQERd1gCclChUQFh8HCR4aRUgXEREWDBkZDBYRERdJRRsdCQcAAAEAFP9HAkQCxgAtADVAMggBBwcGXwAGBhZLBAEBAQBdBQEAABdLAAMDAl8AAgIZAkwAAAAtACszJCI0MyQiCQcbKwAHBzMyFhUUBiMjAwYGIyMiJjU0NjMzMjcTIyImNTQ2MzM3NjYzMzIWFRQGIyMBshAHVREYGBFlWhNxTBQbHiEcDkcQWVQRGBgRZQcTcEwVGx4hHA8CYlYfFhEQFv5cXlccExUfVgGgFhARFiNeWBwUFCAAAQA5//oCWQLBAC8AjrUsAQEFAUpLsAtQWEAgAAUAAQAFAWUABAQDXQADAxRLCAcCBgYfSwIBAAAgAEwbS7ANUFhAIAAFAAEABQFlAAQEA10AAwMUSwgHAgYGH0sCAQAAHQBMG0AgAAUAAQAFAWUABAQDXQADAxRLCAcCBgYfSwIBAAAgAExZWUAQAAAALwAuIxEiNSMTKwkHGysAFhUUBgcGBhUVFAYjIiY1NSMVFAYjIiY1ETQ2MyEyFRQjIRUzNTQ2MzIWFRU2NjMCPxodJiwuIxkZI5EjGhsiIB0BQT09/vyRIxgWHhFAJgHyFxogFQcFQzbRHR8fHfz3HyIkHQJJHSA1M74eHB4eGi4zMgABACn/iAI3AzkAPABLQEgeFgIDATMBBAUQCAIABANKAAIDBgMCBn4AAQADAgEDZwcBBgAFBAYFZQAEAAAEVwAEBABfAAAEAE8AAAA8ADoiJCQpLCsIBxorABYVFRQGBwYHFRQGIyImNTUmJjU0Njc1NDYzMhYVFRYXFhUUBiMiJicmJiMiBhUUFjMyNzUjIiY1NDYzMwISHBklNzMcFxccc4SCcxwXFxxbQxUWEAoQCydDJFZdXFMtM1QXGxsXlQF9GxbYLSYMFAc+Fx0dF0AUvJWUvBRAFx0dFz4NPBEeFh8HCB4bhXx7iRGzGBYWGAABAAf/+gI6AsYAMQAvQCwkAQQFDAEBAAJKBwEEAwEAAQQAaAYBBQUWSwIBAQEVAUwlJSMkIyUlIQgHHCsABiMjFxYVFAYjIicDFRQGIyImNTUjIiY1NDYzMzU0NjMyFhUVEzYzMhYVFAcHMzIWFQI6GBG1yxMgFhsW9iMbGyMxERgYETEjGxsj9hcbFh8TzLYRGAFQFtoWFxcgGgES7R8iIh//FhARFv8eIiIe7AERGiAWGBbaFhEAAQAgAAACQgLKAEUAkEuwGVBYQDUABwgFCAcFfgsBAwwBAgEDAmcACAgGXwAGBhxLCgEEBAVfCQEFBRdLDg0CAQEAXQAAABUATBtAMwAHCAUIBwV+CQEFCgEEAwUEZwsBAwwBAgEDAmcACAgGXwAGBhxLDg0CAQEAXQAAABUATFlAGgAAAEUARENBPTs6ODQyJCcjJCEkISIyDwcdKyQVFCMhIjU0MzM1IyImNTQ2MzM1IyImNTQ2MzM1NDYzMhYXFhYVFAYjIiYnJiYjIgYVFTMyFhUUBiMjFTMyFhUUBiMjFSECQjz+Vjw8IjUSFxcSNTUSFxcSNXRjOnIqDQoYEgoUCilIJSsyixIYGBKLixIYGBKLAQloMzU1M4UXEREWShYRERcwWmspIwoXDxYeCAYdHjQzJxcRERZKFhERF4UAAAEAMf/4AkYCxgBBAGFAXiUdAgUDLxQCAgU4EwoDAQI5AQYHCQEABgVKLgEFAUkABQMCAwUCfgACAQMCAXwAAQcDAQd8CAEHBgMHBnwEAQMDFksABgYAXwAAACAATAAAAEEAQCcoJSgoJCYJBxsrJBYVFAcGBiMiJxEHBiMiJjU0Nzc1BwYjIiY1NDc3NTQ2MzIWFRU3NjMyFhUUBwcVNzYzMhYVFAcHERYzMjY3NjYzAi0ZFyx2QmBcIgsKEBcUSiILChAXFEokGx0kdwkLEBgUn3cJCxAYFJ8mGypIMgoUCqceFhwUJCciARUUBhoQFgsrSxQGGRAWCytVHiIhHwtFBRoQFQtcSkUFGhAVC1z+8QoZIAYIAAABACf/+QIzAzkAKwA9QAkrIxUNBAEDAUpLsAtQWEAPAAMAAQADAWcCAQAAHQBMG0APAAMAAQADAWcCAQAAIABMWbYpKSklBAcYKwAWEhUUBiMiJjU0JiYnERQGIyImNTUOAhUUBiMiJjU0EjY3NTQ2MzIWFRUBo10zJBwbJBMnHxkWFhkfJhMkGxskM1tEGxgYGwK1gf7r5h4iIh7E5WsQ/wAWHR0W/xFs5MIeIiIe5gEVgA9CFR8fFUIAAAEAB//6AlECxgBAANBACg4BBQYuAQAEAkpLsAtQWEAkDAsCBAMBAAEEAGcIAQcHFksKAQUFBl8JAQYGF0sCAQEBIAFMG0uwDVBYQCQMCwIEAwEAAQQAZwgBBwcWSwoBBQUGXwkBBgYXSwIBAQEdAUwbS7AZUFhAJAwLAgQDAQABBABnCAEHBxZLCgEFBQZfCQEGBhdLAgEBASABTBtAIgkBBgoBBQQGBWcMCwIEAwEAAQQAZwgBBwcWSwIBAQEgAUxZWVlAFgAAAEAAPz48ODYlIyQhJCMmIyQNBx0rABYVFAYjIxUUBiMiJicDERQGIyImNTUjIiY1NDYzMzUjIiY1NDYzMzU0NjMyFxMRNDYzMhYVFTMyFhUUBiMjFTMCORgYETgjGhEeCKkeGBkcOBEYGBE4OBEYGBE4IxooD6keGBgdOBEYGBE4OAE+FhISFrMfIhQWAZT+fBsfHxu6FhISFkkWEhEWsB4iKv5XAZoaHx8atxYREhZJAAIARf/5BJACwQBqAHMBc7Y+CgIACwFKS7ALUFhARgAHBQ8FBw9+AA0CEAINEH4ACgMLAwoLfhEBEAADChADZwAPDwVdAAUFFEsOCQICAgZdDAgCBgYXSwALCwBfBAECAAAdAEwbS7ATUFhARgAHBQ8FBw9+AA0CEAINEH4ACgMLAwoLfhEBEAADChADZwAPDwVdAAUFFEsOCQICAgZdDAgCBgYXSwALCwBfBAECAAAgAEwbS7AVUFhAUQAHBQ8FBw9+AA0CEAINEH4ACgMLAwoLfhEBEAADChADZwAPDwVdAAUFFEsADg4GXQwIAgYGF0sJAQICBl0MCAIGBhdLAAsLAF8EAQIAACAATBtATgAHBQ8FBw9+AA0CEAINEH4ACgMLAwoLfhEBEAADChADZwAPDwVdAAUFFEsADg4MXwAMDB9LCQECAgZdCAEGBhdLAAsLAF8EAQIAACAATFlZWUAga2trc2tycW9lY19dV1VJR0NBODYjIyI1IyMkFSUSBx0rABYWFRQGIyImJycUBicnJjU1IyInBgYjIxUUBiMiJjURNDYzMzIWFzMzNTQ2MzIWFRUzMhYVFCMjFRQXFxYXNTQ2MzIWFxYWMzI2NTQmJicmJjU0NjYzMhYXFhUUBiMiJicmJiMiBhUUFhckNjU0JiMjETMEJ0kgbFkvViAJJyQcpy4KBBR1UzYiHBwiIB11Y3wFBi4iHB0iSBscN0hDHBEKFhALGQ0dLyInKxQvLVJNMlk4Jk0dIBYQCRcLGi0dISkqO/1FOTg6MzMBEiU2KUJTFhQGGBgCAgyo2gFMVbAdJCQdAkkdIHNlXBsgIBtcGBcv40oFAgIECBQZCgcOEB0YEhURCRJDOStHKBUUFh8UGwoHDxAfGRgZDi1AR0hA/vEAAAIAB//6AlECwQA4AEEAvUuwC1BYQC4IAQYJAQUEBgVnDQoCBAMBAAwEAGcOAQwAAQIMAWcACwsHXQAHBxRLAAICIAJMG0uwDVBYQC4IAQYJAQUEBgVnDQoCBAMBAAwEAGcOAQwAAQIMAWcACwsHXQAHBxRLAAICHQJMG0AuCAEGCQEFBAYFZw0KAgQDAQAMBABnDgEMAAECDAFnAAsLB10ABwcUSwACAiACTFlZQBw5OQAAOUE5QD89ADgANzMxIjMkISQjIyIkDwcdKwAWFRQGIyMGBiMjFRQGIyImNREjIiY1NDYzMzUjIiY1NDYzMzU0NjMzMhYXMzIWFRQGIyMWFRQHMwY2NTQmIyMRMwI5GBgRQRtpSTYjGxsjOBEYGBE4OBEYGBE4IB11SmkaQREYGBErAgIr2Dg4OjMzAbEWEhEWOD+wHyIiHwEnFhESFkkWEhIWOh0gPzgWEhIWGAwNGGNAR0hA/vEAAgAH//oCRQLBAC0ANQCbS7ALUFhAJQkBBgsIAgUABgVnBAEAAwEBAgABZwAKCgddAAcHFEsAAgIgAkwbS7ANUFhAJQkBBgsIAgUABgVnBAEAAwEBAgABZwAKCgddAAcHFEsAAgIdAkwbQCUJAQYLCAIFAAYFZwQBAAMBAQIAAWcACgoHXQAHBxRLAAICIAJMWVlAFQAANTMwLgAtACwzJCEkIyMkIQwHHCsTFTMyFhUUBiMjFRQGIyImNTUjIiY1NDYzMzUjIiY1NDYzMxE0NjMzMhYVFAYjJzMyNTQmIyPkiBIXFxKIIxsbIzcRGRkRNzcRGRkRNyAdsnF9fXF0WZJFR18BKUkWEhIVVh8iIh9WFhESFkkXERIWAQsdIG9aYW5QcD46AAABAAn/+AJPAsEAPAAGszARATArABYVFAYjIwYGBxYWFxcWFRQGIyInJyYmIyMiNTQzMzI3ISImNTQ2MyEmIyMiJjU0NjMhMhYVFAYjIxYXMwI3GBgRPAddTBotGWkOJhgfFZ8YKyNUPT2icxH+xhEYGBEBNxdqthEYGBEB9BEYGBFmHQhBAigWERIWSV0NByQfhxEUFyEbziAaMjJaFhIRFkoWERIWFhIRFiAqAAABACAAAAJCAsoAMwA+QDsABQYDBgUDfgcBAwgBAgEDAmcABgYEXwAEBBxLCgkCAQEAXQAAABUATAAAADMAMiQjJCcjJCEiMgsHHSskFRQjISI1NDMzNSMiJjU0NjMzNTQ2MzIWFxYWFRQGIyImJyYmIyIGFRUzMhYVFAYjIxUhAkI8/lY8PCI1EhcXEjV0YzpyKg0KGBIKFAopSCUrMosSGBgSiwEJaDM1NTPRFxERF3xaaykjChcPFh4IBh0eNDNzFxERF9EAAAEAB//4AlECywBKAH9ADz4BBgcOAQUGNy8CAAQDSkuwGVBYQCUNDAIEAwEAAQQAZwkIAgcHHEsLAQUFBl8KAQYGF0sCAQEBIAFMG0AjCgEGCwEFBAYFaA0MAgQDAQABBABnCQgCBwccSwIBAQEgAUxZQBgAAABKAElIRkJAPDomIyQhJCMmIyQOBx0rABYVFAYjIwcGBiMiJicDAwYGIyImJycjIiY1NDYzMycjIiY1NDYzMycmNjMyFhcTEzY2MzIWFxMTNjYzMhYVBwczMhYVFAYjIwczAjkYGBFGHAIWDg4XA0xMAxcODhYDHEURGBgROgkxERgYESYZAx4VERoCKkIDFQ4OFQNBKgIbERMdARknERgYETIJOwE+FhISFtIRExMRAbb+ShETExHSFhISFkkWEhEWuxkeFhX+dgGUERMTEf5tAYkVFhkVCbsWERIWSQABAAr/+gJOAscAOwCOtToBAQABSkuwC1BYQCAJAQEIAQIDAQJmBwEDBgEEBQMEZQoBAAAWSwAFBSAFTBtLsA1QWEAgCQEBCAECAwECZgcBAwYBBAUDBGUKAQAAFksABQUdBUwbQCAJAQEIAQIDAQJmBwEDBgEEBQMEZQoBAAAWSwAFBSAFTFlZQBA4NjEvISQjIyQhJCUgCwcdKwAzMhYVFAcHMzIWFRQGIyMVMzIWFRQGIyMVFAYjIiY1NSMiJjU0NjMzNSMiJjU0NjMzJyY1NDYzMhcXNwH5GhckD7FpERgYEYuLERgYEYskHBwlihEYGBGKihEYGBFpsQ8kFxgTvLsCxiMYFBLZFhIRFkoWERIWaR8iIh9pFhIRFkoWERIW2RIVGCMW7OsAAQDiAMABdgFWAAsABrMEAAEwKyQmNTQ2MzIWFRQGIwEMKiogICoqIMArICArKyAgKwABAIX/uQHSAvcAEQAGswoBATArFgYjIiY1NDcTNjYzMhYVFAcD4RoQFB4D6AYaEBQeA+g1EhsVCQkC1xMSGxUJCf0pAAEAOAAqAiACEgAfACxAKQAEAwEEVwYFAgMCAQABAwBlAAQEAV8AAQQBTwAAAB8AHiMkIyMkBwcZKwAWFRQGIyMVFAYjIiY1NSMiJjU0NjMzNTQ2MzIWFRUzAgcZGROcGRMTGZwTGRkTnBkTExmcAUoZExMZmxMaGhObGRMTGZwTGRkTnAAAAQA4APICIAFKAA0ABrMEAAEwKzYmNTQ2MyEyFhUUBiMhURkZEwGQExkZE/5w8hkTExkaExIZAAABAFQARgIEAfYAJwAgQB0nHRMJBAACAUoBAQAAAl8DAQICHwBMJCwkJQQHGCslFhUUBwYjIicnBwYjIicmNTQ3NycmNTQ3NjMyFxc3NjMyFxYVFAcHAfYODgwREw6MjAwUEw0MDoyMDQ0MEhIOjIwOEhIODA6Mkg4SEg4MDoyMDQ0MERMOjIwNExMMDQ6MjA4ODBETDowAAAMAPgAhAiYCHAALABkAJQBAQD0AAAYBAQIAAWcAAgcBAwQCA2UABAUFBFcABAQFXwgBBQQFTxoaDAwAABolGiQgHgwZDBcTEAALAAokCQcVKwAmNTQ2MzIWFRQGIwYmNTQ2MyEyFhUUBiMhFiY1NDYzMhYVFAYjARUfHxgXICAX1hkZEwGQExkZE/5wqx8fGBcgIBcBqyEYGCAhFxghuRkTExkaExIZ0SAYGCAgGBggAP//AD4AjgImAa4AJgKMBmQBBgKMBpwAEbEAAbBksDMrsQEBuP+csDMrAAABAD4AGAImAiQANwAGsyQJATArJBYVFAYjIwcGBiMiJjU0NzcjIiY1NDYzMzcjIiY1NDYzMzc2NjMyFxYWFRQHBzMyFhUUBiMjBzMCDRkZE9omBhUNFBkEGFcTGRkTey+qExkZE84mBRUNCwgMDgQYZBMZGROILrbmGhMSGVsNDhkRCwg5GRMTGXAZExMZWw0OBAUVDAsIORoTEhlwAAEAOAA4AiACBAAXADS1DgEAAQFKS7AhUFhACwAAAAFfAAEBHwBMG0AQAAEAAAFXAAEBAF8AAAEAT1m0KicCBxYrABYVFAYHBQYjIiY1NDclJSY1NDYzMhcFAggYGBX+jQsOFBsZAWH+nxkbFAwNAXMBWCQWFyMJngUZFBoLlJQLGhQZBZ8AAQA4ADgCIAIEABcANLUWAQABAUpLsCFQWEALAAAAAV8AAQEfAEwbQBAAAQAAAVcAAQEAXwAAAQBPWbQqIwIHFiskFRQGIyInJSYmNTQ2NyU2MzIWFRQHBQUCIBsUDgv+jRUYGBUBcw0MFBsZ/p8BYX8aFBkFngkjFxYkCJ8FGRQaC5SUAAACADgAAAImAgkAGAAmAAi1HRkUCQIwKzY2NyUlJiY1NDYzMhcFFhYVFAcFBiMiJjUEFhUUBiMhIiY1NDYzITgNDAFT/q0MDRsVDQsBcxUYLf6NDA0VGgHVGRkT/nATGRkTAZDLFARragQUDRQYBHoGIhYxDngEGBRmGhMSGRkTExkAAgA4AAACJgIJABgAJgAItR0ZFAYCMCsSNTQ2NyU2MzIWFRQGBwUFFhYVFAYjIiclBBYVFAYjISImNTQ2MyE4GBUBcwsNFRsNDP6tAVMMDRoVDQz+jQGoGRkT/nATGRkTAZABHDEWIgZ6BBgUDRQEamsEFA0UGAR4thoTEhkZExMZAAIAOAAAAiYCEgAfAC0AOEA1AgEACAUCAwQAA2UAAQAEBwEEZwkBBwcGXQAGBhUGTCAgAAAgLSArJyQAHwAeIyQjIyQKBxkrEiY1NDYzMzU0NjMyFhUVMzIWFRQGIyMVFAYjIiY1NSMEFhUUBiMhIiY1NDYzIVEZGROcGhMSGZwTGRkTnBoTEhmcAakZGRP+cBMZGRMBkAEhGRMTGW0TGRkTbRkTExltExoaE23JGhMSGRkTExn//wBJAGwCHAHQACYClwZkAQYClwacABGxAAGwZLAzK7EBAbj/nLAzKwAAAQBDANACFgFsACYAQrEGZERANwAEAgMCBAN+AAEABQABBX4AAwAFA1cAAgAAAQIAZwADAwVfBgEFAwVPAAAAJgAlIiQnIiQHBxkrsQYARCQmJyYmIyIHBiMiJyY1NDc2NjMyFhcWFjMyNzYzMhcWFhUUBwYGIwF7OSgiIhAfFxMUCwoRBhQ9JB85KB8lECEVExMLCgkKBxQ9JNAWFBEOGhYHCxUMCiIkFhQPDxoVBwUSCgwKISQAAAEAOACMAiABrwASACRAIQMBAgAChAABAAABVQABAQBdAAABAE0AAAASABE0IwQHFiskJjU1ISImNTQ2MyEyFhUVFAYjAd8Y/p0TGRkTAZATGRoTjBoTnxkTExgZE8oTGgAAAwAE//wCVAKSACUALwA5AAq3NjAvJyQQAzArFiY3Njc3JiY1NDY2MzIXNzYzMhYVFAYHBxYWFRQGBiMiJwcGBicBJiMiBgYVFBYXFjY2NTQmJwEWMz4RAgETJzA2TohTVEc4DBAMEREDKyowUIdQTUMoDRILAVE0Oz1lOiQg02Q8Hhz++i82AhYMCBoyJm5AS4JPK0oPEwwKGgQ3KGg8TIJMJDQREQECAx04YTwuUR05N2E9Kkse/q4WAAADACMAfAI1AbwAFwAjAC8ACrcoJBwYBAADMCsAFhUUBiMiJicGBiMiJjU0NjMyFhc2NjMGNjcmJiMiBhUUFjMgNjU0JiMiBgcWFjMB6E1NQiNBFhZBI0JNTUIjQRYWQSPVLg8PLhogJCQgAQokJCAaLg8PLhoBvFhISVclKSklV0lIWCUpKSX1KC4tJzAlJTAwJSUwJy0uKAAAAQBl/0cB8gLGABsABrMLAAEwKxYmNTQ2MzMyNRE0NjMzMhYVFAYjIyIVERQGIyN/GhsUDkxoWRUUGhoUDkxpWRS5HRUVHVUCEF9XHRUWHVX98F5XAAABADIAAALtAsoAMwAGsykDATArJBYVFCMjIiY1NDc2NjU0JiMiBhUUFhcWFRQGIyMiNTQ2MzMuAjU0NjYzMhYWFRQGBgczAs4fPL4ZHg9eQ3NpaXREXg8eGr48Hx1zSUkdVZ5raZ5WHUpHcmgaGTUeFxcZlJE1TlZWTjWPlhgYFx41GRpidlUtUXdAQXdQLlZ3XwAAAQAyAAAC7QLKADMABrMpAwEwKyQWFRQjIyImNTQ3NjY1NCYjIgYVFBYXFhUUBiMjIjU0NjMzLgI1NDY2MzIWFhUUBgYHMwLOHzy+GR4PXkNzaWl0RF4PHhq+PB8dc0lJHVWea2meVh1KR3JoGhk1HhcXGZSRNU5WVk41j5YYGBceNRkaYnZVLVF3QEF3UC5Wd18AAAEAOP9HAiACwQAXAAazBQABMCsWJjURNDYzITIWFREUBiMiJjURIREUBiNZISEZAXQaICAaGSH/ACAauSEZAwYaICAa/PoaICEZAtn9JxogAAABACD/TAIyAsEAHQAGsw8CATArBBUUIyEiJjU0NxMDJjU0NjMhMhUUIyETFhUUBwMhAjI8/mMaHxDz8xAfGgGdPDz+ycoWF8kBN0s0NR8XGBYBVwFWFhgXHzU0/uYfGBcg/uUAAQAG/zsCLQLOABsABrMSAAEwKwQmJwMjIiY1NDYzMzIWFxMTNjYzMhUUBwMGBiMBBR4KczgTGRkTXQ4WBGW3BBYPMQPLCR4axR8iAXYZExMZEQ7+pQLeDxEoCQv87CUeAAABAD7/RwICAfMAKAB1tg8KAgAEAUpLsAtQWEAYBgUCAwMfSwAEBABfAQEAACBLAAICGQJMG0uwDVBYQBgGBQIDAx9LAAQEAF8BAQAAHUsAAgIZAkwbQBgGBQIDAx9LAAQEAF8BAQAAIEsAAgIZAkxZWUAOAAAAKAAnJSUkJSUHBxkrABYVERQGIyImNTUGBiMiJxUUBiMiJjURNDYzMhYVFRQWMzI2NTU0NjMB4CIjHBohF04xHxgjHRwhIR0dIissMkEhHQHzHxz+fBogHxkZKCsJgBogHxkCORwfHxz3NTFEOt8cHwAAAgAk//ACJAMBABsAJwAItSAcBQACMCsAFhYVFAYjIiYmNTQ2NjMyFyYmIyMiJjU0NzYzEjY1NCYjIgYVFBYzAS+XXoV/SHNBP2k+ZDIMe2ISEx01FRWDRkc2N0dGNwMBVsGYq7c9dlJSeD5Fc3MbFCgJA/1UWE5JU1VMS1YABQAr/+4DhgLTABEAHQApADUAQQDIS7AVUFhAKwAGAAgDBghnCwEFCgEDCQUDZwAEBAFfAgEBARxLDQEJCQBgDAcCAAAdAEwbS7AdUFhALwAGAAgDBghnCwEFCgEDCQUDZwAEBAFfAgEBARxLDQEJCQdgDAEHByBLAAAAHQBMG0AzAAYACAMGCGcLAQUKAQMJBQNnAAEBHEsABAQCXwACAhxLDQEJCQdgDAEHByBLAAAAHQBMWVlAJDY2KioeHhISNkE2QDw6KjUqNDAuHikeKCQiEh0SHConIQ4HFysEBiMiJjU0NwE2NjMyFhUUBwECJjU0NjMyFhUUBiM2NjU0JiMiBhUUFjMAJjU0NjMyFhUUBiM2NjU0JiMiBhUUFjMBQxoNEhsKAWwJGg0SGwr+lMNeXlRUX19UJiMkJSUjIyUBo15fU1ReXlQlJCQlJSQkJQIQGhQREQJ1EBAaFBER/YsBDm5qaW5uaWpuUT9IRkA/R0g//oxua2ltbmlqblE/SEZAQEZIPwAHACv/7gUVAtMAEQAdACkANQBBAE0AWQDqS7AVUFhAMQgBBgwBCgMGCmcPAQUOAQMLBQNnAAQEAV8CAQEBHEsTDRIDCwsAYBEJEAcEAAAdAEwbS7AdUFhANQgBBgwBCgMGCmcPAQUOAQMLBQNnAAQEAV8CAQEBHEsTDRIDCwsHYBEJEAMHByBLAAAAHQBMG0A5CAEGDAEKAwYKZw8BBQ4BAwsFA2cAAQEcSwAEBAJfAAICHEsTDRIDCwsHYBEJEAMHByBLAAAAHQBMWVlANE5OQkI2NioqHh4SEk5ZTlhUUkJNQkxIRjZBNkA8Oio1KjQwLh4pHigkIhIdEhwqJyEUBxcrBAYjIiY1NDcBNjYzMhYVFAcBAiY1NDYzMhYVFAYjNjY1NCYjIgYVFBYzACY1NDYzMhYVFAYjICY1NDYzMhYVFAYjJDY1NCYjIgYVFBYzIDY1NCYjIgYVFBYzAUMaDRIbCgFsCRoNEhsK/pTDXl5UVF9fVCYjJCUlIyMlAaNeX1NUXl5UATpeX1NUX19U/pckJCUlJCQlAbQjJCUlIyMlAhAaFBERAnUQEBoUERH9iwEObmppbm5pam5RP0hGQD9HSD/+jG5raW1uaWpubmtpbW5pam5RP0hGQEBGSD8/SEZAP0dIPwAAAgA0/zgCJAL2ABcAGwAItRoYCgACMCsEJicDJjU0NxM2NjMyFhcTFhUUBwMGBiM3EwMDARYjCLIFBbIIJBYVIwiyBQWyCCQWAZ6ensgYFAGZDwsNDQGZFBgYFP5nChAPC/5nFBhoAXcBd/6JAAACABEAAQKBAlEACQATAAi1DwoEAAIwKzc3JzM3FzMHFycnMzUXMzUjFScjiUa+7EpN7b9HwkIcVhYcVhYB4JDg4JDghz5TU4JTUwAAAgAs/2QDewLHAEwAWgCtS7AVUFhACh8BCgMSAQUKAkobQAofAQoEEgEFCgJKWUuwFVBYQDEACAEHAQgHfg0LAgUCAQEIBQFoAAcMAQkHCWMABgYAXwAAABZLAAoKA18EAQMDHwpMG0A1AAgBBwEIB34NCwIFAgEBCAUBaAAHDAEJBwljAAYGAF8AAAAWSwAEBBdLAAoKA18AAwMfCkxZQBpNTQAATVpNWVRSAEwASyMmJikmJSQmJg4HHSsEJiY1NDY2MzIWFhUUBgYjIiYnIwYjIiY1NDY2MzIWFzM3NjYzMhYVFAcHBhUUFjMyNjY1NCYmIyIGBhUUFhYzMjY3NjMyFhUUBwYGIwI2NjU0JiMiBgYVFBYzAVrEanHFfIK7YDhdOTVABgI4W0dTNWE9K0EMAgUCGBQUFwEiBBodFy4gSZNpYptZUpppRWgsDhARFhMpjVUBPyEuKSk9Hy0knGvAfYjIa2SoZVt+Pi4oVmFSRnZFJiEZERIWEwkEwRUWHx4pXEhSg0xWpHFom1UhIQsYERYPIywBJTZWLzEzNVMtMTkAAwAn//gCpQLIACkANQA/AElARi8BAwQ5OCgeHREGBQMHAQAFA0oAAwQFBAMFfgYBBAQCXwACAhxLBwEFBQBfAQEAACAATDY2Kio2PzY+KjUqNCorJCMIBxgrJBUUBiMiJycGBiMiJiY1NDY3JiY1NDYzMhYVFAYHFzY3NjYzMhYHBgcXAAYVFBYXNjY1NCYjEjY3JwYGFRQWMwKlIBUVEFMvdD5GbT1JTSYla1ZQXz9DjBwIAyAUFh4DCjZc/nwtGyAzKychEkwgsTMtQzk/FBQfD1AuMTBYOUBkLCdKKExaU0Y2VSmJPFAZGx8adFxaAiMrJBktIR0yHyAo/eciIKweQSkvNwAAAQAk/0cCGALBABwAKkAnAAADAgMAAn4AAwMBXQABARRLBQQCAgIZAkwAAAAcABsTJTYTBgcYKwQmNREiJiY1NDY2MzMyFhURFAYjIiY1ESMRFAYjARIaP2A1NWJA8BQZGRMTGXAYE7kZFAGmNWE+PmA1GRT84BMaGhMC/v0CFBkAAAIAI/9FAhECyAA9AE0APEA5Rz8hAgQBBAFKAAQFAQUEAX4AAQIFAQJ8AAUFA18AAwMcSwACAgBfAAAAGQBMNDIuLCclJCUmBgcXKyQGBxYVFAYjIicmNTQ2MzIWFxYWMzI2NTQmJycmJjU0NjcmNTQ2MzIXFhUUBiMiJicmJiMiBhUUFhcXFhYVBhc2NTQmJycmJwYVFBYXFwIRIB4Xc2hxRCAWEAoYDR45LCwxISh2S0IgHhZ3ZFtAIRYQCxURGiseLzQiJ3VKRJUXDisudx0TDywvdq5FGiYrWGEqFCIUGQkGDxErJh8oEzciVTwnRhojLVVkKRYfFBsICg4PKSYfKhM3I1U6NhEZFx8zGDoPDRsWHzIYOQADADL/+wL9AsYADwAfAEcAaLEGZERAXQAFBggGBQh+AAgHBggHfAAAAAIEAAJnAAQABgUEBmcABwwBCQMHCWcLAQMBAQNXCwEDAwFfCgEBAwFPICAQEAAAIEcgRkA+Ojg0Mi0sJiQQHxAeGBYADwAOJg0HFSuxBgBEBCYmNTQ2NjMyFhYVFAYGIz4CNTQmJiMiBgYVFBYWMyYmNTQ2MzIXFhYVFAYjIiYnJiYjIgYVFBYzMjY3NjYzMhYVFAYHBiMBNKReXqRkZKNeXqRjVYhNTYhVVYlNTYlVVnJyX1EzCwgVEQgQCRQgFTIzMzIVIBQJEAgRFQgLN00FX6NkZKNeXqNkZKNfN0+LVVWKT0+KVVWLT1d1Y2J1JwkRDRAdBgULDD1BQj0MCwUGHRANEggnAAAEADL/+wL9AsYADwAfAEEASgBosQZkREBdPgEFCAFKBgEEBQMFBAN+CgEBAAIHAQJnAAcACQgHCWcMAQgABQQIBWcLAQMAAANXCwEDAwBfAAADAE9DQhAQAABJR0JKQ0o5NjEvLComJBAfEB4YFgAPAA4mDQcVK7EGAEQAFhYVFAYGIyImJjU0NjYzEjY2NTQmJiMiBgYVFBYWMzcWFRQGIyInJyYmIyMVFAYjIiY1ETQ2MzMyFhUUBgcWFhcnMjY1NCYjIxUB/KNeXqRjZKReXqRkVYhNTYhVVYlNTYlVtQwiFh8RTwgRDRseGBkfGhmOSlA0LxIdD4QiHR0iRQLGXqNkZKNfX6NkZKNe/WxPi1VVik9PilVVi0+jDxATGhlzDAtrGx0dGwE/GRtFPTBCCwQVFHUXGhwWYwAAAgAAARcDXgLFACMANwAItSskBQACMCsAFhURFAYjIiY1NQcGBiMiJicnFRQGIyImNRE0NjMyFxc3NjMEFRQjIxEUBiMiJjURIyI1NDYzIQM/Hx4UEx5BChcQEBYLQR4UEx8gFiAUbWwUH/5aN1IhGBghUjYaHAEWAsUcGv7AGx0dG6h7ExERE3ilGx0dGwFAGhwlz88lBC8t/ukaHR0aARctGBcAAAIAIQGdAU4CxgAPABsAOLEGZERALQAAAAIDAAJnBQEDAQEDVwUBAwMBXwQBAQMBTxAQAAAQGxAaFhQADwAOJgYHFSuxBgBEEiYmNTQ2NjMyFhYVFAYGIzY2NTQmIyIGFRQWM41EKChEKipFKChFKiIsLCIhLCwhAZ0nQyoqRCcnRCoqQydELSMkLS0kIy0AAAEAUf9HAMYCxgANABlAFgAAABZLAgEBARkBTAAAAA0ADCUDBxUrFiY1ETQ2MzIWFREUBiNzIiIZGSEhGbkiGQMJGiEiGfz3GiEAAgBR/0cAxgLGAA0AGwAsQCkEAQEBAF8AAAAWSwACAgNfBQEDAxkDTA4OAAAOGw4aFRMADQAMJQYHFSsSJjU1NDYzMhYVFRQGIwImNTU0NjMyFhUVFAYjcyIiGRkhIRkZIiIZGSEhGQFuIhniGSIiGeIaIf3ZIhniGiEiGeIZIgACAGP/8AHSAsYAKQA0AAi1NDAQAAIwKxYmNTUHBiMiJyY1NDc3NTQ2MzIWFRQGBwcVFBYzMjc2MzIXFxYVFAcGIwI3NjY1NCYjIhUV+0QZDBANCQkNR09DOD4+Ox4eGhUmCwgUBwUEET5BEAQcIxERKxBTQEYbDQkJDA0NS/FSX0I1RnxFJIklJhYGFQwMBBEMLgGlBiZYJBQbTZYAAAEAFAClAUUCyQAfACdAJAMBAQQBAAUBAGcGAQUFAl8AAgIcBUwAAAAfAB4kIyMkIwcHGSs2JjURIyImNTQ2MzM1NDYzMhYVFTMyFhUUBiMjERQGI5kaPBQbGxQ8GhQUGjwUGhoUPBsUpRsUAS4aFA4TSRQbGxRJGhQOE/7SFBsAAQAUAKQBRQLJADEANUAyBQEDBgECAQMCZwcBAQgBAAkBAGcKAQkJBF8ABAQcCUwAAAAxADAkISQjIyQhJCMLBx0rNiY1NSMiJjU0NjMzNSMiJjU0NjMzNTQ2MzIWFRUzMhYVFAYjIxUzMhYVFAYjIxUUBiOZGjwUGxsUPDwUGxsUPBoUFBo8FBoaFDw8FBoaFDwbFKQbFEkaFA4TmBoUDhNIFBsbFEgaFA4TmBoUDhNJFBsAAgAy//sDTALGABsALAAItSMcBgACMCsEJiY1NDY2MzIWFhUhIhUVFBcWFjMyNjczBgYjEzI1NTQnJiYjIgYHBhUVFDMBRrVfYbR3kLJM/X0FByh8TlF8Nkc+knf1BQouhENAfDIJBQVfoF9fqGZtqmQGrBUIMDE2NUlCAW8GvA4MNyotMgkSvQYABABM//oEPwLGABsAJwAzAEEAwkAKCQEGBxcBAAgCSkuwC1BYQCkNAQkACAAJCGUMAQcHAl8ECgMDAgIWSwsBBQUGXwAGBhdLAQEAACAATBtLsA1QWEApDQEJAAgACQhlDAEHBwJfBAoDAwICFksLAQUFBl8ABgYXSwEBAAAdAEwbQCkNAQkACAAJCGUMAQcHAl8ECgMDAgIWSwsBBQUGXwAGBhdLAQEAACAATFlZQCQ0NCgoHBwAADRBND87OCgzKDIuLBwnHCYiIAAbABolJSUOBxcrABYVERQGIyInAREUBiMiJjURNDYzMhcBETQ2MxImNTQ2MzIWFRQGIyYGFRQWMzI2NTQmIxIWFRQGIyMiJjU0NjMzAnwjIxogEf6UIxoaIiMbHhIBbCMZ61RUT05VVU4dHh8cHSAfHoUdHR3OHR0dHc4CxiIe/bUfIhcB4P5KHyIiHwJLHiIX/iEBth4i/s1XQ0NWV0JDV+EkIyImJiIjJP7JGxcXGhoXFxsAAQBFAI4CEwJ2ABcAIbEGZERAFgcBAAIBSgACAAKDAQEAAHQnJCMDBxcrsQYARCQVFAYjIicDAwYjIiY1NDcTNjYzMhYXEwITHRIbCJWVCBsSHQWhCCMWFiMIocQJFBkYAWH+nxgaEwkNAXkUGBgU/ocAAQA2AZkAvALGAA8AH0AcCgEBAAFKAgEBAQBfAAAAFgFMAAAADwAOJgMHFSsSJycmNTQ2MzIWFRQHBwYjVgYYAiUeHyQCFwYjAZkosQ4FHyIiHwUOsSgA//8ANgGZAY0CxgAiAlEAAAADAlEA0QAAAAL+zQJRAAcCzQALABcAMrEGZERAJwIBAAEBAFcCAQAAAV8FAwQDAQABTwwMAAAMFwwWEhAACwAKJAYHFSuxBgBEACY1NDYzMhYVFAYjMiY1NDYzMhYVFAYj/vEkJB0dJSUdmyQkHRwlJB0CUSIcHCIiHBwiIhwcIiIcHCIAAAH/IAJM/7QC0QALACaxBmREQBsAAAEBAFcAAAABXwIBAQABTwAAAAsACiQDBxUrsQYARAImNTQ2MzIWFRQGI7goKCIhKSgiAkwlHh4kJB4eJQAB/rUCJP+IAvkADwAZsQZkREAOAAABAIMAAQF0JiQCBxYrsQYARAEmNTQ2MzIXFxYVFAYjIif+0BsgFh0XYQgTDQwLApUUHBUfHoEJDQ0TCAAAAf9MAiQAHwL5AA8AGbEGZERADgABAAGDAAAAdCYgAgcWK7EGAEQCIyImNTQ3NzYzMhYVFAcHiAsOEwhhFx4WHxuBAiQTDQsLgR4fFRwUaQAC/woCIwASAvsADwAfAB2xBmREQBIDAQEAAYMCAQAAdCUnJSEEBxgrsQYARAIGIyImNzc2NjMyFhUUBwcWBiMiJjc3NjYzMhYVFAcHwg8HDREDIQUcERIbCEOADwcNEQMhBRwREhwJQwIsCRQQhhcXGRMPD30ICRQQhhcXGBMOEX0AAf9qAfT/yALHAA8AGUAWDAEAAQFKAAAAAV8AAQEWAEwlIQIHFisCBiMiJjU1NDYzMhYVFAcHXBEKDRIcExMcAh8CAAwQDYcXGBYTBAqFAAAB/tcCJP/9AvoAFwAhsQZkREAWFgEAAQFKAAEAAYMCAQAAdCcnIAMHFyuxBgBEAiMiJjU0Nzc2NjMyFhcXFhUUBiMiJycH6xUQGQlYDBYQERYLWAkZEBUOR0cCJBgQDQ13Dw4OEHYMDhAYFW5uAAH+1wIk//0C+gAXACexBmREQBwLAQIAAUoBAQACAIMDAQICdAAAABcAFiQnBAcWK7EGAEQCJicnJjU0NjMyFxc3NjMyFhUUBwcGBiOmFwtYCRkQFQ5HRw4VEBkJWAsXEAIkDw92DA4QGBVubhUYEAwOdg8PAAAB/sECPwATAuIAFwA0sQZkREApEgEBAAFKAgEAAQCDAAEDAwFXAAEBA18EAQMBA08AAAAXABYiIiYFBxcrsQYARAImJyY1NDYzMhcWMzI3NjMyFhUUBwYGI85bEwMWDxYNIEFBIA0WDxYDE1s4Aj87MQkIERUWOTkVFBEICTE7AAL/AAIo/9QC+AALABcAOLEGZERALQAAAAIDAAJnBQEDAQEDVwUBAwMBXwQBAQMBTwwMAAAMFwwWEhAACwAKJAYHFSuxBgBEAiY1NDYzMhYVFAYjNjY1NCYjIgYVFBYzwj4+LCw+PiwTGhoTExoaEwIoPCwsPDwsLDw5GxQUGxsUFBsAAAH+xAJIABAC1QAlADSxBmREQCkAAwABA1cEAQIAAAECAGcAAwMBXwYFAgEDAU8AAAAlACQkJCUkJAcHGSuxBgBEAiYnJiYjIgYHBgYjIiY1NDY2MzIWFxYWMzI2NzY2MzIWFRQGBiNfIxsWGgsQEwoIDAkLDxgrGhIjGxYaCxATCggMCQwOGCsaAkgQEA0MEA8MCxMPFDEjEBANDBAPDAsTDxQxIwAB/sQCZgAQArcADQAmsQZkREAbAAABAQBVAAAAAV0CAQEAAU0AAAANAAs0AwcVK7EGAEQAJjU0NjMzMhYVFAYjI/7dGRkU8hQZGRTyAmYVExQVFRQTFQAAAf8WAiP/3AL4ACAARrEGZERLsAlQWEAWAAABAQBvAAIBAQJXAAICAV8AAQIBTxtAFQAAAQCEAAIBAQJXAAICAV8AAQIBT1m1KCkhAwcXK7EGAEQCBiMiJjU0Njc2NjU0IyIGBwYmNTQ3NjMyFhUUBgcGBgd0FQwOExQSDQojDh0EDRITICU0OhcVEBECAjMQERAVHA8MDAgYBwEEEg0VBw0pHxceEAsTDQAC/sICI//KAvsADwAfAB2xBmREQBICAQABAIMDAQEBdBUoFSQEBxgrsQYARAEmNTQ2MzIWFxcWBiMiJic3JjU0NjMyFhcXFgYjIiYn/ssJGxMRHAUhAxENBw8EQQgbExEbBSEDEQ0HDwQCsREOExgXF4YQFAkIfQ8PFBgXF4YQFAkIAAAB/sECQgATAuQAGAAusQZkREAjBAEAAwFKAgEAAwCEAAEDAwFXAAEBA18AAwEDTyMmJiAEBxgrsQYARAAjIiY1NDc2NjMyFhcWFRQGIyImJyYjIgf+/BYPFgMTWzg4WxMDFg8KEwYhQEAhAkIVEAgJMTs7MQkIEBULCzg4AAAB/yICQf+rAw0AFQBQsQZkREuwDVBYQBgAAQICAW4DAQIAAAJXAwECAgBgAAACAFAbQBcAAQIBgwMBAgAAAlcDAQICAGAAAAIAUFlACwAAABUAFCYkBAcWK7EGAEQCFhUUBiMiJjU0Njc2MzIWFRQHBgczeSQkHCInFBINFgwRBxQEBAKyHBkbISkpHzcUEA0KCQobFgAB/2oBrQA5AnQADQAksQZkREAZBAEAAQFKDQACAEcAAQABgwAAAHQkEQIHFiuxBgBEAzUyNjc2NjMyFhUUBgeWMygDBB4cGhlKPgHaEyIsHxoaHTlQBwAAAf8o/zr/rP+4AAsAJrEGZERAGwAAAQEAVwAAAAFfAgEBAAFPAAAACwAKJAMHFSuxBgBEBiY1NDYzMhYVFAYjsyUkHh0lJR3GIx0cIiIcHSMAAAL+zf87AAf/uAALABcAMrEGZERAJwIBAAEBAFcCAQAAAV8FAwQDAQABTwwMAAAMFwwWEhAACwAKJAYHFSuxBgBEBCY1NDYzMhYVFAYjMiY1NDYzMhYVFAYj/vEkJB0dJSUdmyQkHRwlJB3FIxwcIiIcHCMjHBwiIxscIwAB/yn+9f+y/8EAFQBQsQZkREuwDVBYQBgAAAEBAG8DAQIBAQJXAwECAgFfAAECAU8bQBcAAAEAhAMBAgEBAlcDAQICAV8AAQIBT1lACwAAABUAFCYmBAcWK7EGAEQGFhUUBgcGIyImNTQ3NjcjIiY1NDYzdScUEg8TDBIHFAQEGiQkHD8oKR84FBAOCgkKGxUcGhsgAAAB/wj/Pf/hABQAHwCfsQZkRLUdAQIFAUpLsA1QWEAhBgEFBAIBBXAABAMBAgEEAmcAAQAAAVcAAQEAYAAAAQBQG0uwIVBYQCIGAQUEAgQFAn4ABAMBAgEEAmcAAQAAAVcAAQEAYAAAAQBQG0AoBgEFBAIEBQJ+AAMCAQIDcAAEAAIDBAJnAAEAAAFXAAEBAGAAAAEAUFlZQA4AAAAfAB4TISMoJAcHGSuxBgBEBhYVFAYjIicmJjU0NhcWMzI1NCYjIgYjIiY3NzMHNjNKK0M9KhwJChEOIhYyDg0KIAQJCwELSAgQByglICYwCgQOCQ4RBAgeCgwHCwlePgIAAAH+yv89/6kALAAWAF2xBmRES7AVUFi0BgUCAEgbtAYFAgFIWUuwFVBYQBMBAQACAgBXAQEAAAJfAwECAAJPG0AWAAEAAYMAAAICAFcAAAACXwMBAgACT1lACwAAABYAFSIqBAcWK7EGAEQGJjU0NjcXBhUUFjMyNzYzMhYVFAcGI/BGS0YPTCAZFRsIAgsNESQvwzwwMkgJIhM8Gx4JAhIMFQgVAAAB/sD/IwAT/8IAFwAusQZkREAjAgEAAQCDAAEDAwFXAAEBA18EAQMBA08AAAAXABYiIiYFBxcrsQYARAYmJyY1NDYzMhcWMzI3NjMyFhUUBwYGI85bEwQVDxcOIEFBIA8VDxUDE1s43TkwCAoPFBU1NRYVDwkJMDkAAAH+xP9SABD/nwANACaxBmREQBsAAAEBAFUAAAABXQIBAQABTQAAAA0ACzQDBxUrsQYARAQmNTQ2MzMyFhUUBiMj/t0ZGRTyFBkZFPKuFRISFBQSEhUAAf7EANIAEAEcAA0AJrEGZERAGwAAAQEAVQAAAAFdAgEBAAFNAAAADQALNAMHFSuxBgBEJCY1NDYzMzIWFRQGIyP+3RkZFPIUGRkU8tIVEBAVFRAQFQAC/s0DDAAHA4kACwAXACpAJwIBAAEBAFcCAQAAAV8FAwQDAQABTwwMAAAMFwwWEhAACwAKJAYHFSsAJjU0NjMyFhUUBiMyJjU0NjMyFhUUBiP+8SQkHR0lJR2bJCQdHCUkHQMMIxwcIiIcHCMjHBwiIhwcIwAAAf8gAwj/tAONAAsAHkAbAAABAQBXAAAAAV8CAQEAAU8AAAALAAokAwcVKwImNTQ2MzIWFRQGI7goKCIhKSgiAwglHh4kJB4eJQAB/scC+P+IA50ADwARQA4AAAEAgwABAXQmJAIHFisBJjU0NjMyFxcWFRQGIyIn/ukiHBQXFVsKEQ0JBwM+Eh0THRVeCgwLEQQAAAH/SwL4AA0DnAAQABFADgABAAGDAAAAdCYgAgcWKwIjIiY1NDc3NjMyFhUUBgcHjggNEgtbExgUHRERcQL4EQsLC14UHRMNGAlCAAAC/wwC+AAWA5wADwAfABxAGRQEAgABAUoDAQEAAYMCAQAAdCYmJiAEBxgrAiMiJjU0Nzc2MzIWFRQHBxYjIiY1NDc3NjMyFhUUBwfLDgsQBCsMHBIdDkV6DgsQBCsMHBIdD0QC+A8MCAddHRsSEQ9MCw8MCAddHRoSEBFMAAAB/tkC+P/6A5sAFQAZQBYUAQABAUoAAQABgwIBAAB0JiYgAwcXKwIjIiY1NDc3NjMyFxcWFRQGIyInJwfvERAXEFMVGRkVUw8WEBEOS0sC+BcPEQ1NEhJNDhEPFg5NTQAB/toC+P/7A5wAFQAfQBwKAQIAAUoBAQACAIMDAQICdAAAABUAFCQmBAcWKwInJyY1NDYzMhcXNzYzMhYVFAcHBiOtF1MPFhARDktLDhEQFxBTFRkC+BJNDhEPFw5NTQ4XDxAPTRIAAAH+wgMHABIDjgAXACZAIwIBAAEAgwABAwMBVwABAQNfBAEDAQNPAAAAFwAWIiImBQcXKwImJyY1NDYzMhcWMzI3NjMyFhUUBwYGI85WFAYUDxIQIkFBIhATDxMGFFY4AwcqJQwLDxIQKSkQEg8LDCUqAAL/AAL4/9QDyQALABcAMEAtAAAAAgMAAmcFAQMBAQNXBQEDAwFfBAEBAwFPDAwAAAwXDBYSEAALAAokBgcVKwImNTQ2MzIWFRQGIzY2NTQmIyIGFRQWM8I+PiwsPj4sExoaExMaGhMC+DwsLD09LCw8ORsUFBsbFBQbAAAB/sQDDwAQA4cAJQAsQCkAAwABA1cEAQIAAAECAGcAAwMBXwYFAgEDAU8AAAAlACQkJCUkJAcHGSsCJicmJiMiBgcGBiMiJjU0NjYzMhYXFhYzMjY3NjYzMhYVFAYGI14jGhIjDg0PCgkKCQ0PGCsaESMaEiMODQ8KCQoJDQ8YKxoDEAkJBgoJCgkHEQ4TKRwJCQYKCQoJBxAOEyocAAH+xAMiABADcwANAB5AGwAAAQEAVQAAAAFdAgEBAAFNAAAADQALNAMHFSsAJjU0NjMzMhYVFAYjI/7dGRkU8hQZGRTyAyIVExQVFRQTFQAAAf8VAvj/3AObAB8ARbURAQECAUpLsAtQWEAWAAABAQBvAAIBAQJXAAICAV8AAQIBTxtAFQAAAQCEAAIBAQJXAAICAV8AAQIBT1m1KCghAwcXKwIGIyImNTQ2NzY1NCMiBwYmNTQ2NzYzMhYVFAYHBgYHdRIMDhUXFBYkFB4OEgkJHyoyOhcWEBACAwMLDw0SFAgJCBEHAxEMCA0DDCQbFRUKCAsJAAL+vgL4/8cDnAAQACAAFUASAgEAAQCDAwEBAXQmJickBAcYKwEmNTQ2MzIWFxcWFRQGIyInNyY1NDYzMhcXFhUUBiMiJ/7NDx0SDBYGKwMQCw0KPw4dEhwMKwMQCw0KA08REBIaDw5dBwgMDwtMDxESGx1dBwgMDwsAAf7CAwYAEgOOABkAIEAdAgEAAwCEAAEDAwFXAAEBA18AAwEDTyMmJiAEBxgrACMiJjU0NzY2MzIWFxYVFAYjIicmJiMiBgf+9xMOFAYUVjg4VhQGFA4TEBE0Hh40EQMHEg4LDCUrKiYMCw8SERQVFRQAAf8iAvj/qQObABUASEuwEVBYQBgAAQICAW4DAQIAAAJXAwECAgBgAAACAFAbQBcAAQIBgwMBAgAAAlcDAQICAGAAAAIAUFlACwAAABUAFCYkBAcWKwIWFRQGIyImNTQ2NzYzMhYVFAcGBzN2HyEfISYVEw4QDREJDwQJA1UZFRUaIx8WMBALDQkKCQ8OAAEATgItANcC+AAVAFCxBmRES7ANUFhAGAAAAQEAbwMBAgEBAlcDAQICAV8AAQIBTxtAFwAAAQCEAwECAQECVwMBAgIBXwABAgFPWUALAAAAFQAUJiYEBxYrsQYARBIWFRQGBwYjIiY1NDc2NyMiJjU0NjOvKBUSDRUMEggTBAMaJCMcAvgoKR83FBANCgoJGRgcGRsgAAEATgJBANcDDQAVAFCxBmRES7ANUFhAGAABAgIBbgMBAgAAAlcDAQICAGAAAAIAUBtAFwABAgGDAwECAAACVwMBAgIAYAAAAgBQWUALAAAAFQAUJiQEBxYrsQYARBIWFRQGIyImNTQ2NzYzMhYVFAcGBzOzJCQcIicUEg0WDBEHFAQEArIcGRshKSkfNxQQDQoJChsWAAH/8AJmATwCtwANACaxBmREQBsAAAEBAFUAAAABXQIBAQABTQAAAA0ACzQDBxUrsQYARBImNTQ2MzMyFhUUBiMjCRkZFPIUGRkU8gJmFRMUFRUUExUAAf/hAiQAtAL5AA8AGbEGZERADgAAAQCDAAEBdCYkAgcWK7EGAEQDJjU0NjMyFxcWFRQGIyInBBsgFh0XYQgTDQwLApUUHBUfHoEJDQ0TCAABACwCKACWAvgADQAwsQZkREAlAAAAAQIAAWcAAgMDAlcAAgIDXwQBAwIDTwAAAA0ADRQRFAUHFyuxBgBEEiY1NDYzFSIGFRQWMxVqPj4sExoaEwIoPCwsPDkbFBQbOQABAJYCKAEAAvgADQAqsQZkREAfAAIAAQACAWcAAAMDAFcAAAADXwADAANPFBEUEAQHGCuxBgBEEzI2NTQmIzUyFhUUBiOWExoaEyw+PiwCYRsUFBs5PCwsPAABAHgCJAFLAvkADwAZsQZkREAOAAEAAYMAAAB0JiACBxYrsQYARBIjIiY1NDc3NjMyFhUUBwekCw4TCGEXHhYfG4ECJBMNCwuBHh8VHBRpAAEAbf7tAL//wgANACaxBmREQBsAAAEBAFcAAAABXwIBAQABTwAAAA0ADCUDBxUrsQYARBImNTU0NjMyFhUVFAYjgxYWExMWFhP+7RkUexQZGRR7FBkAAQBtAiQAvwL6AA0AJrEGZERAGwAAAQEAVwAAAAFfAgEBAAFPAAAADQAMJQMHFSuxBgBEEiY1NTQ2MzIWFRUUBiODFhYTExYWEwIkGRR8FBkZFHwUGQABACwC+ACWA8kADQAoQCUAAAABAgABZwACAwMCVwACAgNfBAEDAgNPAAAADQANFBEUBQcXKxImNTQ2MxUiBhUUFjMVaj4+LBMaGhMC+DwsLD06GxQUGzkAAQCWAvgBAAPJAA0AIkAfAAIAAQACAWcAAAMDAFcAAAADXwADAANPFBEUEAQHGCsTMjY1NCYjNTIWFRQGI5YTGhoTLD4+LAMxGxQUGzo9LCw8//8AeAIkAUsC+QADArwBLAAA////7QI/AT8C4gADAsEBLAAA//8AAwIkASkC+gADAsABLAAAAAEANP89AQ0AFAAfAJ+xBmREtR0BAgUBSkuwDVBYQCEGAQUEAgEFcAAEAwECAQQCZwABAAABVwABAQBgAAABAFAbS7AhUFhAIgYBBQQCBAUCfgAEAwECAQQCZwABAAABVwABAQBgAAABAFAbQCgGAQUEAgQFAn4AAwIBAgNwAAQAAgMEAmcAAQAAAVcAAQEAYAAAAQBQWVlADgAAAB8AHhMhIygkBwcZK7EGAEQWFhUUBiMiJyYmNTQ2FxYzMjU0JiMiBiMiJjc3Mwc2M+IrQz0rGwkKEQ4iFjIODQogBAkLAQtICBAHKCUgJjAKBA4JDhEECB4KDAcLCV4+AgD//wADAiQBKQL6AAMCvwEsAAD////5AlEBMwLNAAMCuQEsAAD//wBMAkwA4ALRAAMCugEsAAD////hAiQAtAL5AAMCuwEsAAD//wA4AiMBPgL7AAMCvQEsAAD////wAmYBPAK3AAMCxAEsAAD////2/z0A1QAsAAMCzgEsAAD//wAsAigBAAL4AAMCwgEsAAD////wAkgBPALVAAMCwwEsAAAAAv7BAiQAEgMkAA8AKQBZS7AVUFhAHAABAgGDAAACAwIAA34AAwYBBQMFYwQBAgIUAkwbQCEAAQIBgwQBAgACgwAAAwCDAAMFBQNXAAMDBV8GAQUDBU9ZQA4QEBApECgjIywmIAcHGSsCIyImNTQ3NzYzMhYVFAcHBiYnJjU0NjMyFxYWMzI2NzYzMhYVFAcGBiOQCAsRDlUTFhIXHmxFVhQHEQ0REBM2ISE2Ew8SDRAGFFY4Ao0QCw0NUBIYERsRPm0rJQ0LDREQFhsbFhARDQoOJSsAAAL+wQIkABIDJAAQACoAWUuwFVBYQBwAAAIAgwABAgMCAQN+AAMGAQUDBWMEAQICFAJMG0AhAAACAIMEAQIBAoMAAQMBgwADBQUDVwADAwVfBgEFAwVPWUAOERERKhEpIyMpFiUHBxkrASYmNTQ2MzIXFxYVFAYjIicGJicmNTQ2MzIXFhYzMjY3NjMyFhUUBwYGI/7xDw8XEhYTVQ4RCwgHK1YUBxIMEg8TNiEhNhMPEg0QBhRWOALPCBcNERgSUA0NCxAEbSslDQsNERAWGxsWEBENCg4lKwAAAv7BAiQAEgMmAB8AOQCTtREBAQIBSkuwDVBYQB4AAAMEAQBwAAIAAQMCAWcABAcBBgQGYwUBAwMUA0wbS7AVUFhAHwAAAwQDAAR+AAIAAQMCAWcABAcBBgQGYwUBAwMUA0wbQCkFAQMBAAEDAH4AAAQBAAR8AAIAAQMCAWcABAYGBFcABAQGXwcBBgQGT1lZQA8gICA5IDgjIy8pGCEIBxorAgYjIiY1NDY3NjU0IyIHBiY1NDY3NjMyFhUUBgcGBgcGJicmNTQ2MzIXFhYzMjY3NjMyFhUUBwYGI3YSCw8UFxYVJQcrDhIJCSInMzkYFhAQAlpWFAcSDBIPEzYhITYTDxINEAYUVjgClwkNDRIRCQcHDgUBDwsGDAQMIhsTFAkHCgl7KyUNCw0REBYbGxYQEQ0KDiUrAAAC/sICJAASAyQAIwA9AEpARwgBBgEHAQYHfgQBAgAAAQIAZwADCgUCAQYDAWcABwkJB1cABwcJXwsBCQcJTyQkAAAkPSQ8NjQxLywqACMAIiQjJSQjDAcZKwImJyYjIgYHBgYjIiY1NDY2MzIWFxYzMjY3NjYzMhYVFAYGIwYmJyY1NDYzMhcWFjMyNjc2MzIWFRQHBgYjXyYcKxINEAkJCgkNDxgrGhImHCsSDQ8KCQoJDQ8YKxqBVhQGFA0RDBM2ISE2EwwSDRMGFFY4Ar0KCQ8KCgkHEAwPJBkKCQ8JCgkHDwwPJBmZKyUMCQ4QDRYbGxYNEA0KDCUrAAAC/tkCJABoAyYADwAlAClAJiQBAgABSgABAwGDAAADAgMAAn4EAQICggADAxQDTCYmJiYgBQcZKwIjIiY1NDc3NjMyFhUUBwcGIyImNTQ3NzYzMhcXFhUUBiMiJycHEgkMEQg+ExYTHh9U5Q8QGBVOFxcXF04UGA8MC1JQAo4RDAoLTxceFB0RNG0WDxQOPxERPw8TDxcJSEcAAv7ZAiQAKQMoABAAJgAnQCQlAQIBAUoAAQMCAwECfgAABAECAAJjAAMDFANMJiYiJyQFBxkrAyY1NDYzMhYXFxYVFAYjIicGIyImNTQ3NzYzMhcXFhUUBiMiJycHSg8hEw4WBiEDEQsPDeEPEBgVThcXFxdOFBgPDAtSUALaEQ8SHA8QUwcGDBANdRYPFA4/ERE/DxMPFwlIRwAAAv7ZAiQAVwMlACIAOACCtTcBBAABSkuwDVBYQBsAAAUEAQBwBgEEBIIAAwIBAQUDAWcABQUUBUwbS7AnUFhAHAAABQQFAAR+BgEEBIIAAwIBAQUDAWcABQUUBUwbQCMAAgEFAQIFfgAABQQFAAR+BgEEBIIAAwABAgMBZwAFBRQFTFlZQAomJiklJBkhBwcbKxIGIyImNTQ2NzY2NTQjIgcGBiMGJjU0NzYzMhYVFAYHBgYHBiMiJjU0Nzc2MzIXFxYVFAYjIicnBwUSCw8UGBQJDSUHFAQMCA4REiEoMzkYFhAQAvcPEBgVThcXFxdOFBgPDAtSUAKWCQ0NERMHAwgEDgIBAgEPChAHDCIbExQJBwoJeRYPFA4/ERE/DxMPFwlIRwAAAv7EAiQAEAMuACMAOQA8QDk4AQYHAUoIAQYHBoQEAQIAAAECAGcAAwkFAgEHAwFnAAcHFAdMAAA2NC4sJiQAIwAiJCQlJCIKBxkrAicmIyIGBwYGIyImNTQ2NjMyFhcWFjMyNjc2NjMyFhUUBgYjBiMiJjU0Nzc2MzIXFxYVFAYjIicnB2UxMhYNDwoJCgkNDxgrGhImHBEhCw0PCgkKCQ0PGCsaow8QGBVOFxcXF04UGA8MC1JQAsgREAkKCQcPDQ8jGAoJBQkJCgkHDw0PIxijFg8UDj8RET8PEw8XCUhHAAL+wQL4ABMD+AAPACkAMkAvAAECAYMEAQIAAoMAAAMAgwADBQUDVwADAwVfBgEFAwVPEBAQKRAoIyMsJiAHBxkrAiMiJjU0Nzc2MzIWFRQHBwYmJyY1NDYzMhcWFjMyNjc2MzIWFRQHBgYjkwQMEQ5VExYSFx5sRVYUBxIMEg8SNiIiNhIPEQ0SBxRWOANgEAsODVASGBEbET9sKiYNCw0REBYbGxYQEg0MCyUrAAL+wQL4ABID+AAQACoAMkAvAAACAIMEAQIBAoMAAQMBgwADBQUDVwADAwVfBgEFAwVPERERKhEpIyMpFiUHBxkrASYmNTQ2MzIXFxYVFAYjIicGJicmNTQ2MzIXFhYzMjY3NjMyFhUUBwYGI/7xDw8XEhYTVQ4RDAcHK1YUBxIMEw4SNiIiNhIPEg0QBhRWOAOjCBcNERgSUA0OCxAEbCslCwwNEQ8WGxsWEBENCg4mKgAC/sEC+AASA/gAIgA8ALG1FAEBAwFKS7ANUFhAKQYBBAEAAQQAfgAABQEAbgADAgEBBAMBZwAFBwcFVwAFBQdfCAEHBQdPG0uwJ1BYQCoGAQQBAAEEAH4AAAUBAAV8AAMCAQEEAwFnAAUHBwVXAAUFB18IAQcFB08bQDAAAgEEAQIEfgYBBAABBAB8AAAFAQAFfAADAAECAwFnAAUHBwVXAAUFB18IAQcFB09ZWUAQIyMjPCM7IyMvJiIpIQkHGysCBiMiJjU0Njc2NjU0IyIHBiMGJjU0Njc2MzIWFRQGBwYGBwYmJyY1NDYzMhcWFjMyNjc2MzIWFRQHBgYjdhIMDhQYFAkNJQ4NEAcOEgkJHyoyOhgWEBACWlYUBxIMEw4SNiIiNhIPEg0QBhRWOANqCQ0NERMHAwgEDgMCAQ8KBwwDDCIaExQJBwoJeislCwwNEQ8WGxsWEBENCg4mKgAAAv7CAvgAEgP4ACIAPABKQEcIAQYBBwEGB34EAQIAAAECAGcAAwoFAgEGAwFnAAcJCQdXAAcHCV8LAQkHCU8jIwAAIzwjOzUzMC4rKQAiACEkIyUkIgwHGSsCJyYjIgYHBgYjIiY1NDY2MzIWFxYzMjY3NjYzMhYVFAYGIwYmJyY1NDYzMhcWFjMyNjc2MzIWFRQHBgYjazYrEg0QCQkKCQ0PGCsaEiYcKxINEAkJCgkNDxgrGoFWFAYUDhELEjYiIjYSDBENFAYUVjgDkBQPCgoJBw8NDyMZCgkPCgoJBw8NDyQZmCslDAkNEAwWGxsWDRAOCQwmKgAC/tkC+ABoA/oADwAlACVAIiQBAgABSgABAwGDAAMAA4MAAAIAgwQBAgJ0JiYmJiAFBxkrAiMiJjU0Nzc2MzIWFRQHBwYjIiY1NDc3NjMyFxcWFRQGIyInJwcSCAwSCD4TFhMeH1TlDxAYFU4XFxcXThQXDw4KUlADYRIMCQtQFx4UHRE1bBYPFA4/ERE/DxQPFglIRwAC/tkC+AAjA/oADwAlADFALiQBAgEBSgADAAEAAwF+AAECAAECfAAAAwIAVwAAAAJfBAECAAJPJiYiJiQFBxkrAyY1NDYzMhcXFhUUBiMiJwYjIiY1NDc3NjMyFxcWFRQGIyInJwddHB8UFxE6BxANDArgDxAYFU4XFxcXThQXDw4KUlADnREaEx8YUwoKCw4GbxYPFA4/ERE/DxQPFglIRwAC/tkC+ABXA/gAIwA5AKFAChUBAQM4AQQAAkpLsA1QWEAkAAUBAAEFAH4AAAQBAG4GAQQEggADAQEDVwADAwFfAgEBAwFPG0uwJ1BYQCUABQEAAQUAfgAABAEABHwGAQQEggADAQEDVwADAwFfAgEBAwFPG0ArAAIBBQECBX4ABQABBQB8AAAEAQAEfAYBBASCAAMBAQNXAAMDAV8AAQMBT1lZQAomJikmJBkhBwcbKxIGIyImNTQ2NzY2NTQjIgcGBiMGJjU0Njc2MzIWFRQGBwYGBwYjIiY1NDc3NjMyFxcWFRQGIyInJwcFEgwOFBgUCQ0lBxQEDAgOEQkJHSwyOhgWEBAC9w8QGBVOFxcXF04UFw8OClJQA2oJDQ0REwcDCAQOAgECAQ8KBwwDDCIaExQJBwoJeRYPFA4/ERE/DxQPFglIRwAAAv7EAvgAEAP4ACIAOABGQEM3AQYBAUoABwABAAcBfggBBgEGhAADAAEDVwQBAgAABwIAZwADAwFfCQUCAQMBTwAANTMtKyUjACIAISQjJSQiCgcZKwInJiMiBgcGBiMiJjU0NjYzMhYXFjMyNjc2NjMyFhUUBgYjBiMiJjU0Nzc2MzIXFxYVFAYjIicnB2s2KxINEAkJCgkNDxgrGhImHCsSDRAJCQoJDQ8YKxqjDxAYFU4XFxcXThQXDw4KUlADkBQPCgoJBw8NDyMZCgkPCgoJBw8NDyQZlxYPFA4/ERE/DxQPFglIRwAAAAABAAADCQB0AAoAcwAFAAIAKAA5AIsAAACVDRYABAABAAAAbQBtAG0AbQCzAL8AywDXAOcA8wD/AQsBFwEjATMBPwFLAVcBYwFvAXsBhwGTAZ8BqwJBAr4DVANgA+QD8ARDBJ0EqQS1Bf8HgAeMB5gH0AfgCDUIQQhJCFUIYQhxCLgIxAjQCNwJ6AtDC08LWwtrC3cLgwuPC5sLpwuzC78LywvXC+ML7wwEDBkMuAzEDR8Ngg2ODZoNpg2yDb4Nyg4sDsIOzg7aDuYPIQ8tDzkPRQ9RD10Pcg9+D4oPlg+iD64PuhAfECsQahB2ELoQxhDxEVYRYhFuEXoRixGXEacRsxIaEooSlhLuEvoTBhMSEx4TKhM2E6gTuBPEE9AUEhQeFCoUNhRCFFIUXhRqFHYUghSOFKMUuBTEFNAU3BVPFVsVZxVzFX8VixWXFaMVrxXEFdkWfBbwFvwXCBcdFzIXRxedGAAYcBjHGTIZPhlKGVYZYhluGXoZhhnuGfoaDxobGjAbhhuSG54bqhu2G8YcZRzEHQEdXR1pHh0eKR41HkEeex6HHpMenx6rHrcewx7PHtsfIx8vHzsfRx9TH18fax93H4MfmCAhIC0gOSBOIJ0g/iEKIRYhIiEuIYwh2yHnIfMh/yILIhciIyIvIjsiRyKBIo0imSKlIrEixSNNI1kjZSNxI4EjjSOZI6UjsSO9I8kj2SPlI/Ej/SQJJBUkISQtJDkkRSRRJF0lKCU0Jg4mGicXJyMnfifXJ+Mn7yjfKfkqBSoRKoEq+yuFLBUsISwtLD0slSyhLK0suS4eLiouNi5GLlIuXi5qLnYugi6OLpoupi6yLr4uyi7fLvQvqS+1MA4wZjDyMP4xCjEWMSIxLjE6MaIyLzI7MkcyUzJfMpoypjKyMr4yyjLWMusy9zMHMxMzHzMrMzczwjPOM9o0DDQYNGg0dDTANPs1BzVgNWw1fTWJNZk1pTYhNqI2rjcSNx43KTc1N0E3TTdZN+83/zgLOBc4WDhkOHA4fDiIOJg4pDiwOLw4yDjUOOk4/jkKORY5IjmXOaM5rzm7Occ50znfOes59zoMOiE6tTslOzE7PTtSO2c7fDwvPIo85z1CPZM9nz2rPbc9wz3PPds95z5NPlk+bj56Po8/5T/xP/1ACUAVQCVAw0E1QcxCbEN3Q4NDlUOhQ61ED0QbRCdEM0Q/REtEV0RjRG9E40TvRPtFB0UTRR9FK0U3RUNFWEXkRfBF/EYRRlVGtkbCRs5G2kbmR0NHgEeMR5hHpEewR7xHyEfUR+BH7EgpSDVIQUhNSFlIbUjZSOVI8Uj9SQ1JGUklSTFJPUlJSVVJZUlxSX1JiUmVSaFJrUm5ScVJ0UndSelKkUqdS1hLZEwQTBxMKEw8TLpM9k0jTVVNn03bThZOUU6RTuNPVU+9UCVQjVDAURxRhFHWUihSaVKvUv1TblO3VB9Uh1S+VShVkFWYVaBVqFWwVbhVwFXIVdBV2FXgVhpWWFamVxZXW1e9WB1YW1i5WRlZKFlmWXVZ5Vn0WgNaElohWjBaP1pOWl1abFp7WopamVqoWrdaxlrVWvxbDFscWyxbplvOW/NcHlx7XK5dFV19XcVed16vX0Zfsl++X+pgMmBaYIZgq2EKYWlhpmHjYhNiQ2JrYpNiu2LjYwpjEmMaYyZjMmNkY5ZjomOuY7pj52QYZEtkS2RLZEtkS2RLZEtkumUoZcVmtGc4Z+doomj9aYVp/WpZavprhmvkbKFt9G6pbz1vlG/4cKJxN3FQcXJxtXHRch1ydnKLctpzHXNgc6Fz4nQ9dFJ0rnTfdT11inW1df92SXZydqR21XdJd4h4THlBeXh5nnpwevR7NXvBfFp8+H1LfZN9uH34fkd+h37hfyZ/5oAfgEuAV4CWgL+A6IEQgVGBeYGwgeuCK4JtgsCC7INBg4ODwoQNhDmEYoSghOuFaoW9hfqGJYZQhouGsIbVhvuHOodqh56H14gViGSIjIjfiRyJVYmcieeKMopdioWKtYriiwqLNYtgi4yLtYu+i8eL0IxPjFiMYYxqjHOMfIyFjI6Ml4ygjQuNeI4VjpOO4I8uj8GQMpCJkOKRkpIOklmSqpNOk8MAAQAAAAMAAPcQ+cdfDzz1AAMD6AAAAADUDzBUAAAAANRI2UT+tf7tBSYEPQABAAcAAgAAAAAAAAG7AFIAAAAAAQ8AAAEPAAAC5gAWAuYAFgLmABYC5gAWAuYAFgLmABYC5gAWAuYAFgLmABYC5gAWAuYAFgLmABYC5gAWAuYAFgLmABYC5gAWAuYAFgLmABYC5gAWAuYAFgLmABYC5gAWAuYAFgLmABYC5gAWA+UABwPlAAcCqwBMAqYANgKmADYCpgA2AqYANgKmADYCpgA2AqYANgLyAEwFPQBMAwoAAALyAEwDCgAAAvIATALyAEwE8ABMAk0ATAJNAEwCTQBMAk0ATAJNAEwCTQBMAk0ATAJNAEwCTQBMAk0ATAJNAEwCTQBMAk0ATAJNAEwCTQBMAk0ATAJNAEwCTQBMAk0ATAJNAEwCTQBMAk0ATAJNAEwCTQBMAjYATALdADYC3QA2At0ANgLdADYC3QA2At0ANgLdADYC/gBMAy4AAAL+AEwC/gBMAv4ATAEZAEwBGQBMARn/5AEZ//sBGf/gARn/7wEZ/+8BGQBCARkASgEZ/+kBGQA3ARn/5AEZ/+YBGQAbARn/5gFm//IBZv/yApQATAKUAEwCKwBMA5IATAIrAEwCKwBMAisATAIrAEwCKwBMAykATAIrAEwCQgAAA0kATgNJAE4C6wBMBFEATALrAEwC6wBMAusATALrAEwC6wBMAusATAPpAEwC6wBMAusATAMLADYDCwA2AwsANgMLADYDCwA2AwsANgMLADYDCwA2AwsANgMLADYDCwA2AwsANgMLADYDCwA2AwsANgMLADYDCwA2AwsANgMLADYDCwA2AwsANgMLADYDCwA2AwsANgMLADYDCwA2AwsANgMLADYDCwA2AwsANgMLADYDCwA2AwsANgMLADYEFQA2ApQATAKUAEwDCwA2ArcATAK3AEwCtwBMArcATAK3AEwCtwBMArcATAK3AEwCfgAoAn4AKAJ+ACgCfgAoAn4AKAJ+ACgCfgAoAn4AKAJ+ACgCfgAoAn4AKAK+AEwC9gA2AmUAAAJlAAACZQAAAmUAAAJlAAACZQAAAmUAAALdAEgC3QBIAt0ASALdAEgC3QBIAt0ASALdAEgC3QBIAt0ASALdAEgC3QBIAt0ASALdAEgC3QBIAt0ASALdAEgC3QBIAt0ASALdAEgC3QBIAt0ASALdAEgC3QBIAsoACARWACIEVgAiBFYAIgRWACIEVgAiApgAGAJvAAUCbwAFAm8ABQJvAAUCbwAFAm8ABQJvAAUCbwAFAm8ABQJvAAUCWgAkAloAJAJaACQCWgAkAloAJAJ/AEwCHAAuAhwALgIcAC4CHAAuAhwALgIcAC4CHAAuAhwALgIcAC4CHAAuAhwALgIcAC4CHAAuAhwALgIcAC4CHAAuAhwALgIcAC4CHAAuAhwALgIcAC4CHAAuAhwALgIcAC4CHAAuAhwALgIcAC4DSwAuA0sALgJZAEEB6AAmAegAJgHoACYB6AAmAegAJgHoACYB6AAmAlkAJgJFACYCWQAmAlkAJgJZACYCWQAmBFcAJgITACYCEwAmAhMAJgITACYCEw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"); 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"); }
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"); }
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"); }
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}
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"); }
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"); 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}
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"); }
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"); }</style>
+  </defs>
+  <style type="text/css">
+	.st0{fill:#848688;}
+	.st1{font-family:'Nunito-Light';}
+	.st2{font-size:156px;}
+	.st3{font-family:'Nunito-SemiBold';}
+	.st4{fill:#009CD3;}
+	.st5{fill:#00B4D5;stroke:#A3D9EA;stroke-width:6;stroke-miterlimit:1.1061;}
+	.st6{fill:#33CCFF;stroke:#A3D9EA;stroke-width:6;stroke-miterlimit:1.1061;}
+	.st7{fill:#DBEFF8;stroke:#A3D9EA;stroke-width:6;stroke-miterlimit:1.1061;}
+	.st8{fill:#009CD3;stroke:#A3D9EA;stroke-width:6;stroke-miterlimit:1.1061;}
+</style>
+  <text class="st0 st1 st2" style="font-family: Nunito; font-weight: 300; white-space: pre;" x="210.056" y="135.576"><tspan style="font-size: 156px; word-spacing: 0px;">easy</tspan><tspan style="font-weight: 600; font-size: 156px; word-spacing: 0px;">core</tspan></text>
+  <g>
+    <circle class="st4" cx="94.5" cy="94.5" r="94.5"/>
+    <rect x="28.82" y="28.82" transform="matrix(0.707107, -0.707107, 0.707107, 0.707107, -36.260201, 94.5)" class="st5" width="127.279" height="127.279" style="stroke-miterlimit: 2;"/>
+    <rect x="28.82" y="28.82" transform="matrix(0, 1, -1, 0, 186.974869, 2.033016)" class="st6" width="127.281" height="127.281" style="stroke-miterlimit: 2;"/>
+    <circle class="st7" cx="94.798" cy="94.79" r="60.099"/>
+    <circle class="st8" cx="94.01" cy="94.986" r="31.869"/>
+  </g>
+</svg>
\ No newline at end of file
diff --git a/resources/scripts/generate_html.py b/resources/scripts/generate_html.py
new file mode 100644
index 00000000..8f1a4cc6
--- /dev/null
+++ b/resources/scripts/generate_html.py
@@ -0,0 +1,28 @@
+import sys
+
+import requests
+
+org = 'easyScience'
+repo = 'EasyScience'
+if len(sys.argv) > 1:
+    repo = sys.argv[1]
+
+releases = requests.get(f'https://api.github.com/repos/{org}/{repo}/releases').json()  # noqa: S113
+
+header = (
+    f'<!DOCTYPE html>\n<html>\n<head>\n<title>Links for {repo} (alpha)</title>\n</head>\n<body>\n<h1>Links for {repo}</h1>'
+)
+body = ''
+for release in releases:
+    asset_url = release['assets_url']
+    assets = requests.get(asset_url).json()  # noqa: S113
+    for asset in assets:
+        if asset['name'].endswith('.whl'):
+            name = asset['name'][:-4]
+            url = asset['browser_download_url']
+            body += f'<a href="{url}" data-requires-python="&gt=3.7,&lt4.0">{name}</a><br/>\n'
+footer = '</body>\n</html>'
+
+content = '\n'.join([header, body, footer])
+with open('index.html', 'w') as fid:
+    fid.write(content)
diff --git a/src/easyscience/__init__.py b/src/easyscience/__init__.py
index 167e98e0..e3d4b084 100644
--- a/src/easyscience/__init__.py
+++ b/src/easyscience/__init__.py
@@ -1,8 +1,3 @@
-# SPDX-FileCopyrightText: 2024 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from importlib.metadata import version
-
 from .global_object import GlobalObject
 
 # Must be executed before any other imports
@@ -11,14 +6,13 @@
 global_object.stack.enabled = False
 
 
+from .__version__ import __version__ as __version__  # noqa: E402
 from .base_classes import ObjBase  # noqa: E402
 from .fitting import AvailableMinimizers  # noqa: E402
 from .fitting import Fitter  # noqa: E402
 from .variable import DescriptorNumber  # noqa: E402
 from .variable import Parameter  # noqa: E402
 
-__version__ = version('easyscience')
-
 __all__ = [
     __version__,
     global_object,
diff --git a/src/easyscience/__version__.py b/src/easyscience/__version__.py
new file mode 100644
index 00000000..04188a16
--- /dev/null
+++ b/src/easyscience/__version__.py
@@ -0,0 +1 @@
+__version__ = '2.2.0'
diff --git a/src/easyscience/base_classes/__init__.py b/src/easyscience/base_classes/__init__.py
index b5dc0418..4fc8702b 100644
--- a/src/easyscience/base_classes/__init__.py
+++ b/src/easyscience/base_classes/__init__.py
@@ -1,11 +1,9 @@
-# SPDX-FileCopyrightText: 2025 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from .based_base import BasedBase
 from .collection_base import CollectionBase
+from .collection_base_easylist import CollectionBase as CollectionBaseEasyList
 from .easy_list import EasyList
 from .model_base import ModelBase
 from .new_base import NewBase
 from .obj_base import ObjBase
 
-__all__ = [BasedBase, CollectionBase, ObjBase, ModelBase, NewBase, EasyList]
+__all__ = [BasedBase, CollectionBase, CollectionBaseEasyList, ObjBase, ModelBase, NewBase, EasyList]
diff --git a/src/easyscience/base_classes/based_base.py b/src/easyscience/base_classes/based_base.py
index 1e5ac567..a2427c7f 100644
--- a/src/easyscience/base_classes/based_base.py
+++ b/src/easyscience/base_classes/based_base.py
@@ -1,8 +1,8 @@
-# SPDX-FileCopyrightText: 2025 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 from inspect import signature
 from typing import TYPE_CHECKING
 from typing import Any
@@ -27,12 +27,7 @@ class BasedBase(SerializerComponent):
 
     _REDIRECT = {}
 
-    def __init__(
-        self,
-        name: str,
-        interface: Optional[InterfaceFactoryTemplate] = None,
-        unique_name: Optional[str] = None,
-    ):
+    def __init__(self, name: str, interface: Optional[InterfaceFactoryTemplate] = None, unique_name: Optional[str] = None):
         self._global_object = global_object
         if unique_name is None:
             unique_name = self._global_object.generate_unique_name(self.__class__.__name__)
@@ -46,16 +41,13 @@ def __init__(
     def _arg_spec(self) -> Set[str]:
         base_cls = getattr(self, '__old_class__', self.__class__)
         sign = signature(base_cls.__init__)
-        names = [
-            param.name
-            for param in sign.parameters.values()
-            if param.kind == param.POSITIONAL_OR_KEYWORD
-        ]
+        names = [param.name for param in sign.parameters.values() if param.kind == param.POSITIONAL_OR_KEYWORD]
         return set(names[1:])
 
     def __reduce__(self):
-        """Make the class picklable. Due to the nature of the dynamic
-        class definitions special measures need to be taken.
+        """
+        Make the class picklable.
+        Due to the nature of the dynamic class definitions special measures need to be taken.
 
         :return: Tuple consisting of how to make the object
         :rtype: tuple
@@ -71,11 +63,9 @@ def unique_name(self) -> str:
 
     @unique_name.setter
     def unique_name(self, new_unique_name: str):
-        """Set a new unique name for the object. The old name is still
-        kept in the map.
+        """Set a new unique name for the object. The old name is still kept in the map.
 
-        :param new_unique_name: New unique name for the object
-        """
+        :param new_unique_name: New unique name for the object"""
         if not isinstance(new_unique_name, str):
             raise TypeError('Unique name has to be a string.')
         self._unique_name = new_unique_name
@@ -83,7 +73,8 @@ def unique_name(self, new_unique_name: str):
 
     @property
     def name(self) -> str:
-        """Get the common name of the object.
+        """
+        Get the common name of the object.
 
         :return: Common name of the object
         """
@@ -91,7 +82,8 @@ def name(self) -> str:
 
     @name.setter
     def name(self, new_name: str):
-        """Set a new common name for the object.
+        """
+        Set a new common name for the object.
 
         :param new_name: New name for the object
         :return: None
@@ -100,32 +92,34 @@ def name(self, new_name: str):
 
     @property
     def interface(self) -> InterfaceFactoryTemplate:
-        """Get the current interface of the object."""
+        """
+        Get the current interface of the object
+        """
         return self._interface
 
     @interface.setter
     def interface(self, new_interface: InterfaceFactoryTemplate):
-        """Set the current interface to the object and generate bindings
-        if possible.
-
-        iF.e. ``` def __init__(self, bar, interface=None, **kwargs):
-        super().__init__(self, **kwargs)     self.foo = bar
-        self.interface = interface  # As final step after initialization
-        to set correct bindings. ```
+        """
+        Set the current interface to the object and generate bindings if possible. iF.e.
+        ```
+        def __init__(self, bar, interface=None, **kwargs):
+            super().__init__(self, **kwargs)
+            self.foo = bar
+            self.interface = interface # As final step after initialization to set correct bindings.
+        ```
         """
         self._interface = new_interface
         if new_interface is not None:
             self.generate_bindings()
 
     def generate_bindings(self):
-        """Generate or re-generate bindings to an interface (if exists)
+        """
+        Generate or re-generate bindings to an interface (if exists)
 
         :raises: AttributeError
         """
         if self.interface is None:
-            raise AttributeError(
-                'Interface error for generating bindings. `interface` has to be set.'
-            )
+            raise AttributeError('Interface error for generating bindings. `interface` has to be set.')
         interfaceable_children = [
             key
             for key in self._global_object.map.get_edges(self)
@@ -137,16 +131,17 @@ def generate_bindings(self):
         self.interface.generate_bindings(self)
 
     def switch_interface(self, new_interface_name: str):
-        """Switch or create a new interface."""
+        """
+        Switch or create a new interface.
+        """
         if self.interface is None:
-            raise AttributeError(
-                'Interface error for generating bindings. `interface` has to be set.'
-            )
+            raise AttributeError('Interface error for generating bindings. `interface` has to be set.')
         self.interface.switch(new_interface_name)
         self.generate_bindings()
 
     def get_parameters(self) -> List[Parameter]:
-        """Get all parameter objects as a list.
+        """
+        Get all parameter objects as a list.
 
         :return: List of `Parameter` objects.
         """
@@ -159,7 +154,8 @@ def get_parameters(self) -> List[Parameter]:
         return par_list
 
     def _get_linkable_attributes(self) -> List[DescriptorBase]:
-        """Get all objects which can be linked against as a list.
+        """
+        Get all objects which can be linked against as a list.
 
         :return: List of `Descriptor`/`Parameter` objects.
         """
@@ -172,8 +168,8 @@ def _get_linkable_attributes(self) -> List[DescriptorBase]:
         return item_list
 
     def get_fit_parameters(self) -> List[Parameter]:
-        """Get all objects which can be fitted (and are not fixed) as a
-        list.
+        """
+        Get all objects which can be fitted (and are not fixed) as a list.
 
         :return: List of `Parameter` objects which can be used in fitting.
         """
@@ -187,11 +183,10 @@ def get_fit_parameters(self) -> List[Parameter]:
         return fit_list
 
     def __dir__(self) -> Iterable[str]:
-        """This creates auto-completion and helps out in iPython
-        notebooks.
+        """
+        This creates auto-completion and helps out in iPython notebooks.
 
-        :return: list of function and parameter names for auto-
-            completion
+        :return: list of function and parameter names for auto-completion
         """
         new_class_objs = list(k for k in dir(self.__class__) if not k.startswith('_'))
         return sorted(new_class_objs)
@@ -203,14 +198,12 @@ def __copy__(self) -> BasedBase:
         return new_obj
 
     def as_dict(self, skip: Optional[List[str]] = None) -> Dict[str, Any]:
-        """Convert an object into a full dictionary using
-        `SerializerDict`. This is a shortcut for
-        ```obj.encode(encoder=SerializerDict)```
-
-        :param skip: List of field names as strings to skip when forming
-            the dictionary
-        :return: encoded object containing all information to reform an
-            EasyScience object.
+        """
+        Convert an object into a full dictionary using `SerializerDict`.
+        This is a shortcut for ```obj.encode(encoder=SerializerDict)```
+
+        :param skip: List of field names as strings to skip when forming the dictionary
+        :return: encoded object containing all information to reform an EasyScience object.
         """
         # extend skip to include unique_name by default
         if skip is None:
diff --git a/src/easyscience/base_classes/collection_base.py b/src/easyscience/base_classes/collection_base.py
index 3328abc5..0a4e8272 100644
--- a/src/easyscience/base_classes/collection_base.py
+++ b/src/easyscience/base_classes/collection_base.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from __future__ import annotations
 
@@ -24,9 +25,8 @@
 
 
 class CollectionBase(BasedBase, MutableSequence):
-    """This is the base class for which all higher level classes are
-    built off of.
-
+    """
+    This is the base class for which all higher level classes are built off of.
     NOTE: This object is serializable only if parameters are supplied as:
     `ObjBase(a=value, b=value)`. For `Parameter` or `Descriptor` objects we can
     cheat with `ObjBase(*[Descriptor(...), Parameter(...), ...])`.
@@ -40,7 +40,8 @@ def __init__(
         unique_name: Optional[str] = None,
         **kwargs,
     ):
-        """Set up the base collection class.
+        """
+        Set up the base collection class.
 
         :param name: Name of this object
         :type name: str
@@ -79,9 +80,7 @@ def __init__(
 
         for key in kwargs.keys():
             if key in self.__dict__.keys() or key in self.__slots__:
-                raise AttributeError(
-                    f'Given kwarg: `{key}`, is an internal attribute. Please rename.'
-                )
+                raise AttributeError(f'Given kwarg: `{key}`, is an internal attribute. Please rename.')
             if kwargs[key]:  # Might be None (empty tuple or list)
                 self._global_object.map.add_edge(self, kwargs[key])
                 self._global_object.map.reset_type(kwargs[key], 'created_internal')
@@ -93,7 +92,8 @@ def __init__(
         self._kwargs._stack_enabled = True
 
     def insert(self, index: int, value: Union[DescriptorBase, BasedBase, NewBase]) -> None:
-        """Insert an object into the collection at an index.
+        """
+        Insert an object into the collection at an index.
 
         :param index: Index for EasyScience object to be inserted.
         :type index: int
@@ -119,7 +119,8 @@ def insert(self, index: int, value: Union[DescriptorBase, BasedBase, NewBase]) -
             raise AttributeError('Only EasyScience objects can be put into an EasyScience group')
 
     def __getitem__(self, idx: Union[int, slice]) -> Union[DescriptorBase, BasedBase, NewBase]:
-        """Get an item in the collection based on its index.
+        """
+        Get an item in the collection based on its index.
 
         :param idx: index or slice of the collection.
         :type idx: Union[int, slice]
@@ -128,9 +129,7 @@ def __getitem__(self, idx: Union[int, slice]) -> Union[DescriptorBase, BasedBase
         """
         if isinstance(idx, slice):
             start, stop, step = idx.indices(len(self))
-            return self.__class__(
-                getattr(self, 'name'), *[self[i] for i in range(start, stop, step)]
-            )
+            return self.__class__(getattr(self, 'name'), *[self[i] for i in range(start, stop, step)])
         if str(idx) in self._kwargs.keys():
             return self._kwargs[str(idx)]
         if isinstance(idx, str):
@@ -154,7 +153,8 @@ def __getitem__(self, idx: Union[int, slice]) -> Union[DescriptorBase, BasedBase
         return self._kwargs[keys[idx]]
 
     def __setitem__(self, key: int, value: Union[BasedBase, DescriptorBase, NewBase]) -> None:
-        """Set an item via it's index.
+        """
+        Set an item via it's index.
 
         :param key: Index in self.
         :type key: int
@@ -178,12 +178,11 @@ def __setitem__(self, key: int, value: Union[BasedBase, DescriptorBase, NewBase]
             # REMOVE EDGE
             self._global_object.map.prune_vertex_from_edge(self, old_item)
         else:
-            raise NotImplementedError(
-                'At the moment only numerical values or EasyScience objects can be set.'
-            )
+            raise NotImplementedError('At the moment only numerical values or EasyScience objects can be set.')
 
     def __delitem__(self, key: int) -> None:
-        """Try to delete  an idem by key.
+        """
+        Try to delete  an idem by key.
 
         :param key:
         :type key:
@@ -196,7 +195,8 @@ def __delitem__(self, key: int) -> None:
         del self._kwargs[keys[key]]
 
     def __len__(self) -> int:
-        """Get the number of items in this collection.
+        """
+        Get the number of items in this collection
 
         :return: Number of items in this collection.
         :rtype: int
@@ -204,7 +204,8 @@ def __len__(self) -> int:
         return len(self._kwargs.keys())
 
     def _convert_to_dict(self, in_dict, encoder, skip: List[str] = [], **kwargs) -> dict:
-        """Convert ones self into a serialized form.
+        """
+        Convert ones self into a serialized form.
 
         :return: dictionary of ones self
         :rtype: dict
@@ -219,14 +220,14 @@ def _convert_to_dict(self, in_dict, encoder, skip: List[str] = [], **kwargs) ->
 
     @property
     def data(self) -> Tuple:
-        """The data function returns a tuple of the keyword arguments
-        passed to the constructor. This is useful for when you need to
-        pass in a dictionary of data to other functions, such as with
-        matplotlib's plot function.
+        """
+        The data function returns a tuple of the keyword arguments passed to the
+        constructor. This is useful for when you need to pass in a dictionary of data
+        to other functions, such as with matplotlib's plot function.
 
         :param self: Access attributes of the class within the method
-        :return: The values of the attributes in a tuple :doc-author:
-            Trelent
+        :return: The values of the attributes in a tuple
+        :doc-author: Trelent
         """
         return tuple(self._kwargs.values())
 
@@ -238,10 +239,10 @@ def sort(
         mapping: Callable[[Union[BasedBase, DescriptorBase, NewBase]], Any],
         reverse: bool = False,
     ) -> None:
-        """Sort the collection according to the given mapping.
+        """
+        Sort the collection according to the given mapping.
 
-        :param mapping: mapping function to sort the collection. i.e.
-            lambda parameter: parameter.value
+        :param mapping: mapping function to sort the collection. i.e. lambda parameter: parameter.value
         :type mapping: Callable
         :param reverse: Reverse the sorting.
         :type reverse: bool
diff --git a/src/easyscience/base_classes/collection_base_easylist.py b/src/easyscience/base_classes/collection_base_easylist.py
new file mode 100644
index 00000000..2256135b
--- /dev/null
+++ b/src/easyscience/base_classes/collection_base_easylist.py
@@ -0,0 +1,483 @@
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
+
+from __future__ import annotations
+
+import copy
+import warnings
+from collections.abc import Iterable
+from importlib import import_module
+from numbers import Number
+from typing import Any
+from typing import Optional
+
+from easyscience.io.serializer_base import SerializerBase
+from easyscience.io.serializer_dict import SerializerDict
+
+from ..variable.descriptor_base import DescriptorBase
+from ..variable.parameter import Parameter
+from .based_base import BasedBase
+from .easy_list import EasyList
+from .new_base import NewBase
+
+
+class CollectionBase(EasyList):
+    """
+    EasyList-backed collection with a small compatibility layer for migration.
+
+    The collection delegates storage and MutableSequence behavior to EasyList,
+    adding only scientific-parameter aggregation methods and a thin compatibility
+    layer for existing callers.
+    """
+
+    # Base types that items in this collection must be instances of when no
+    # custom ``protected_types`` are supplied by the caller.  The validation
+    # check in ``_validate_item`` uses this list to reject plain Python objects
+    # that are not part of the EasyScience type hierarchy.
+    # ``BasedBase`` is only kept for backwards compatibility.
+    _DEFAULT_PROTECTED_TYPES = (DescriptorBase, BasedBase, NewBase)
+
+    # Mapping checked by ``SerializerBase._convert_to_dict`` to
+    # decide how to serialise each constructor argument.  ``None``
+    # tells the serialiser to skip that attribute entirely,
+    # a callable value would be invoked to produce the serialised form.
+    # ``interface`` should never be persistent and it will soon be removed.
+    _REDIRECT = {'interface': None}
+
+    def __init__(
+        self,
+        *items: Any,
+        name: Optional[str] = None,
+        protected_types: type | Iterable[type] | None = None,
+        unique_name: Optional[str] = None,
+        display_name: Optional[str] = None,
+        interface: Any = None,  # legacy, should be None and will soon be removed
+        data: Optional[Iterable[Any]] = None,
+    ):
+        """Create a new collection of EasyScience objects.
+
+        Items can be supplied as positional arguments or via the *data*
+        iterable.  Both sources are merged in order.
+
+        If the first positional argument is a string and *name* is not given,
+        it is consumed as the collection name.
+
+        :param items: EasyScience objects to include in the collection.
+        :param name: Human-readable name for the collection.
+        :param protected_types: Allowed item types.  Defaults to
+            ``_DEFAULT_PROTECTED_TYPES``.
+        :param unique_name: Machine-friendly unique identifier.
+        :param display_name: Display label; defaults to *name*.
+        :param interface: Reserved internal attribute — must be ``None``.
+        :param data: Additional iterable of items to append.
+        :raises AttributeError: If *interface* is not ``None`` or an item
+            fails type validation.
+        """
+        if items and isinstance(items[0], str) and name is None:
+            name = items[0]
+            items = items[1:]
+
+        if display_name is None and name is not None:
+            display_name = name
+
+        super().__init__(unique_name=unique_name, display_name=display_name)
+
+        if interface is not None:
+            raise AttributeError('Given kwarg: `interface`, is an internal attribute. Please rename.')
+
+        self._protected_types = self._normalize_protected_types(protected_types)
+        self._name = name if name is not None else self.display_name
+        self.user_data: dict[str, Any] = {}
+        self.interface = None
+
+        all_items = self._collect_items(items, data=data)
+        for item in all_items:
+            try:
+                self._validate_item(item)
+            except TypeError as exc:
+                raise AttributeError('A collection can only be formed from easyscience objects.') from exc
+            if item in self:
+                warnings.warn(f'Item with unique name "{self._get_key(item)}" already in CollectionBase, it will be ignored')
+                continue
+            self._data.append(item)
+
+    @property
+    def name(self) -> str:
+        """Human-readable name of the collection."""
+        return self._name
+
+    @name.setter
+    def name(self, new_name: str) -> None:
+        """Set the collection name and sync *display_name*."""
+        if not isinstance(new_name, str):
+            raise TypeError('Name must be a string')
+        self._name = new_name
+        self.display_name = new_name
+
+    # --- Minimal overrides (compatibility shims) ---
+
+    def __getitem__(self, idx: int | slice | str) -> Any:
+        """Retrieve items by integer index, slice, unique-name key, or display name.
+
+        String lookup first tries the EasyList key (unique_name), then falls
+        back to matching on the item's *name* attribute.  If multiple items
+        share the same name a new ``CollectionBase`` containing all matches is
+        returned.
+        """
+        if isinstance(idx, bool):
+            raise TypeError('Boolean indexing is not supported at the moment')
+        if isinstance(idx, slice):
+            return self._clone_with_items(self._data[idx])
+        if isinstance(idx, str):
+            try:
+                return super().__getitem__(idx)
+            except KeyError:
+                pass
+            name_matches = [item for item in self._data if getattr(item, 'name', None) == idx]
+            if len(name_matches) == 1:
+                return name_matches[0]
+            if len(name_matches) > 1:
+                return self._clone_with_items(name_matches)
+            raise KeyError(f'No item with key or name "{idx}" found')
+        return super().__getitem__(idx)
+
+    def __setitem__(self, idx: int | slice, value: Any) -> None:
+        """Set an item by index.
+
+        When *value* is a plain number and the existing item has a ``value``
+        attribute, the number is assigned to ``item.value`` (in-place update).
+        Otherwise the item is replaced via the EasyList, which
+        enforces type validation.
+        """
+        if isinstance(idx, int) and isinstance(value, Number):
+            item = self[idx]
+            if not hasattr(item, 'value'):
+                raise NotImplementedError('At the moment only numerical values or EasyScience objects can be set.')
+            item.value = value
+            return
+        try:
+            super().__setitem__(idx, value)
+        except TypeError as exc:
+            raise NotImplementedError('At the moment only numerical values or EasyScience objects can be set.') from exc
+
+    def insert(self, index: int, value: Any) -> None:
+        """Insert *value* before *index*, validating it against protected types."""
+        try:
+            super().insert(index, value)
+        except TypeError as exc:
+            raise AttributeError('Only EasyScience objects can be put into an EasyScience group') from exc
+
+    def __repr__(self) -> str:
+        return f'{self.__class__.__name__} `{self.name}` of length {len(self)}'
+
+    def sort(self, key=None, reverse: bool = False, mapping=None) -> None:
+        """Sort items in place.
+
+        :param key: Single-argument function used to extract a comparison key.
+        :param reverse: If ``True``, sort in descending order.
+        :param mapping: Deprecated alias for *key*.
+        """
+        if mapping is not None:
+            if key is not None:
+                raise TypeError('Use either key or mapping, not both')
+            warnings.warn('sort(mapping=...) is deprecated; use sort(key=...) instead', DeprecationWarning)
+            key = mapping
+        super().sort(key=key, reverse=reverse)
+
+    # --- Parameter/variable aggregation ---
+
+    def get_all_variables(self) -> list[DescriptorBase]:
+        """Return all descriptors in this collection, recursing into nested items."""
+        variables: list[DescriptorBase] = []
+        for item in self._data:
+            if isinstance(item, DescriptorBase):
+                variables.append(item)
+            elif hasattr(item, 'get_all_variables'):
+                variables.extend(item.get_all_variables())
+        return variables
+
+    def get_all_parameters(self) -> list[Parameter]:
+        """Return all parameters in this collection, recursing into nested items.
+
+        Each parameter appears at most once (deduplicated by identity).
+        """
+        parameters: list[Parameter] = []
+        seen = set()
+        for item in self._data:
+            if isinstance(item, Parameter):
+                parameters.append(item)
+                seen.add(id(item))
+                continue
+            if hasattr(item, 'get_all_parameters'):
+                for parameter in item.get_all_parameters():
+                    if id(parameter) not in seen:
+                        parameters.append(parameter)
+                        seen.add(id(parameter))
+                continue
+            if hasattr(item, 'get_parameters'):
+                for parameter in item.get_parameters():
+                    if id(parameter) not in seen:
+                        parameters.append(parameter)
+                        seen.add(id(parameter))
+                continue
+            if hasattr(item, 'get_all_variables'):
+                for variable in item.get_all_variables():
+                    if isinstance(variable, Parameter) and id(variable) not in seen:
+                        parameters.append(variable)
+                        seen.add(id(variable))
+        return parameters
+
+    def get_parameters(self) -> list[Parameter]:
+        """Alias for :meth:`get_all_parameters`."""
+        return self.get_all_parameters()
+
+    def get_fittable_parameters(self) -> list[Parameter]:
+        """Return all independent (fittable) parameters."""
+        return [parameter for parameter in self.get_all_parameters() if parameter.independent]
+
+    def get_free_parameters(self) -> list[Parameter]:
+        """Return all fittable parameters that are not fixed."""
+        return [parameter for parameter in self.get_fittable_parameters() if not parameter.fixed]
+
+    def get_fit_parameters(self) -> list[Parameter]:
+        """Legacy alias for :meth:`get_free_parameters`."""
+        return self.get_free_parameters()
+
+    @property
+    def data(self) -> tuple[Any, ...]:
+        """Read-only snapshot of the collection items as a tuple."""
+        return tuple(self._data)
+
+    # --- Serialization ---
+
+    def as_dict(self, skip: Optional[list[str]] = None) -> dict[str, Any]:
+        """Legacy. Serialize to a dict, always excluding ``unique_name``."""
+        if skip is None:
+            skip = []
+        if 'unique_name' not in skip:
+            skip = [*skip, 'unique_name']
+        return self.to_dict(skip=skip)
+
+    def encode(self, skip: Optional[list[str]] = None, encoder=None, **kwargs: Any) -> Any:
+        """Legacy. Encode the collection using the given encoder (default: ``SerializerDict``)."""
+        if encoder is None:
+            encoder = SerializerDict
+        return encoder().encode(self, skip=skip, **kwargs)
+
+    @classmethod
+    def decode(cls, obj: Any, decoder=None) -> Any:
+        """Reconstruct a ``CollectionBase`` from a previously encoded object."""
+        if decoder is None or decoder is SerializerDict:
+            return cls.from_dict(obj)
+        return decoder.decode(obj)
+
+    def to_dict(self, skip: Optional[list[str]] = None) -> dict[str, Any]:
+        """Full serialization including ``@module``, ``@class``, and ``@version`` metadata.
+
+        :param skip: List of attribute names to exclude from the output.
+        """
+        if skip is None:
+            skip = []
+
+        try:
+            parent_module = self.__module__.split('.')[0]
+            module_version = import_module(parent_module).__version__
+        except (AttributeError, ImportError):
+            module_version = None
+
+        dict_repr: dict[str, Any] = {
+            '@module': self.__module__,
+            '@class': self.__class__.__name__,
+            '@version': module_version,
+        }
+
+        if 'name' not in skip:
+            dict_repr['name'] = self.name
+        if 'display_name' not in skip and self._display_name is not None and self._display_name != self.name:
+            dict_repr['display_name'] = self._display_name
+        if 'unique_name' not in skip:
+            dict_repr['unique_name'] = self.unique_name
+        if self._protected_types != list(self._DEFAULT_PROTECTED_TYPES) and 'protected_types' not in skip:
+            dict_repr['protected_types'] = [
+                {'@module': cls_.__module__, '@class': cls_.__name__} for cls_ in self._protected_types
+            ]
+        dict_repr['data'] = [self._serialize_item(item, skip=skip) for item in self._data]
+        return dict_repr
+
+    @classmethod
+    def from_dict(cls, obj_dict: dict[str, Any]) -> CollectionBase:
+        """Reconstruct a ``CollectionBase`` from a dict produced by :meth:`to_dict`.
+
+        :param obj_dict: Dictionary containing ``@module``, ``@class``, and ``data`` keys.
+        :raises ValueError: If the dictionary structure or class name is invalid.
+        """
+        if not isinstance(obj_dict, dict) or '@class' not in obj_dict or '@module' not in obj_dict:
+            raise ValueError('Input must be a dictionary representing an EasyScience CollectionBase object.')
+        accepted_names = {base.__name__ for base in cls.__mro__ if issubclass(base, CollectionBase)}
+        if obj_dict['@class'] not in accepted_names:
+            raise ValueError(f'Class name in dictionary does not match the expected class: {cls.__name__}.')
+
+        temp_dict = copy.deepcopy(obj_dict)
+        protected_types = temp_dict.pop('protected_types', None)
+        if protected_types is not None:
+            protected_types = cls._deserialize_protected_types(protected_types)
+
+        raw_data = temp_dict.pop('data', [])
+        kwargs = SerializerBase.deserialize_dict(temp_dict)
+        data = [cls._deserialize_item(item) for item in raw_data]
+        name = kwargs.pop('name', None)
+        kwargs.pop('unique_name', None)
+        return cls(*data, name=name, protected_types=protected_types, **kwargs)
+
+    def _convert_to_dict(
+        self,
+        in_dict: dict[str, Any],
+        encoder: Any,
+        skip: Optional[list[str]] = None,
+        **kwargs: Any,
+    ) -> dict[str, Any]:
+        """Legacy. Hook used by ``SerializerBase`` to populate *in_dict* with collection data."""
+        if skip is None:
+            skip = []
+        if 'name' not in skip:
+            in_dict['name'] = self.name
+        if self._display_name is not None and self._display_name != self.name and 'display_name' not in skip:
+            in_dict['display_name'] = self._display_name
+        in_dict['data'] = [encoder._convert_to_dict(item, skip=skip, **kwargs) for item in self._data]
+        return in_dict
+
+    @staticmethod
+    def _deserialize_protected_types(protected_types: list[dict[str, str]]) -> list[type]:
+        """Resolve serialized ``{@module, @class}`` dicts back to live type objects."""
+        deserialized_types: list[type] = []
+        for type_dict in protected_types:
+            if '@module' not in type_dict or '@class' not in type_dict:
+                raise ValueError('Each protected type must contain @module and @class keys')
+            module = __import__(type_dict['@module'], globals(), locals(), [type_dict['@class']], 0)
+            deserialized_types.append(getattr(module, type_dict['@class']))
+        return deserialized_types
+
+    def _clone_with_items(self, items: Iterable[Any]) -> CollectionBase:
+        """Create a shallow copy of this collection containing the given *items*."""
+        return self.__class__(
+            *list(items),
+            name=self.name,
+            protected_types=list(self._protected_types),
+            display_name=self._display_name,
+        )
+
+    # --- Compatibility surface ---
+
+    def __dir__(self) -> Iterable[str]:
+        # Names that exist on the class but should not be shown to users.
+        # These are internal/new-API names
+        hidden = {
+            'display_name',
+            'get_all_parameters',
+            'get_all_variables',
+            'get_fittable_parameters',
+            'get_free_parameters',
+            'to_dict',
+        }
+        # Names that the old BasedBase/BaseObj API exposed and that
+        # downstream code may rely on for introspection
+        legacy = {
+            'append',
+            'as_dict',
+            'clear',
+            'constraints',
+            'count',
+            'data',
+            'decode',
+            'encode',
+            'extend',
+            'from_dict',
+            'generate_bindings',
+            'get_fit_parameters',
+            'get_parameters',
+            'index',
+            'insert',
+            'interface',
+            'name',
+            'pop',
+            'remove',
+            'reverse',
+            'sort',
+            'switch_interface',
+            'unique_name',
+            'user_data',
+        }
+        public_names = {name for name in dir(self.__class__) if not name.startswith('_')}
+        return sorted((public_names | legacy) - hidden)
+
+    @property
+    def constraints(self) -> list[Any]:
+        """Compatibility stub — always returns an empty list."""
+        return []
+
+    def generate_bindings(self) -> None:
+        """Compatibility stub — requires ``interface`` to be set."""
+        if self.interface is None:
+            raise AttributeError('Interface error for generating bindings. `interface` has to be set.')
+
+    def switch_interface(self, new_interface_name: str) -> None:
+        """Compatibility stub — requires ``interface`` to be set."""
+        if self.interface is None:
+            raise AttributeError('Interface error for generating bindings. `interface` has to be set.')
+
+    # --- Internal helpers ---
+
+    def _collect_items(
+        self,
+        items: tuple[Any, ...],
+        data: Optional[Iterable[Any]] = None,
+    ) -> list[Any]:
+        """Merge positional *items* and *data* into a flat list.
+
+        Lists inside *items* are flattened one level.
+        """
+        collected: list[Any] = []
+        for item in items:
+            if isinstance(item, list):
+                collected.extend(item)
+            else:
+                collected.append(item)
+        if data is not None:
+            collected.extend(data)
+        return collected
+
+    def _normalize_protected_types(self, protected_types: type | Iterable[type] | None) -> list[type]:
+        """Coerce *protected_types* into a list, falling back to the class default."""
+        if protected_types is None:
+            return list(self._DEFAULT_PROTECTED_TYPES)
+        if isinstance(protected_types, type):
+            return [protected_types]
+        if isinstance(protected_types, Iterable):
+            normalized = list(protected_types)
+            if all(isinstance(item, type) for item in normalized):
+                return normalized
+        raise TypeError('protected_types must be a type or an iterable of types')
+
+    def _serialize_item(self, item: Any, skip: Optional[list[str]] = None) -> dict[str, Any]:
+        """Serialize a single item via its ``to_dict`` or ``as_dict`` method."""
+        if hasattr(item, 'to_dict'):
+            return item.to_dict()
+        if hasattr(item, 'as_dict'):
+            return item.as_dict(skip=skip)
+        raise TypeError(f'Unable to serialize item of type {type(item)}')
+
+    @staticmethod
+    def _deserialize_item(item: Any) -> Any:
+        """Deserialize a single item dict back into an EasyScience object."""
+        if not SerializerBase._is_serialized_easyscience_object(item):
+            return SerializerBase._deserialize_value(item)
+
+        normalized_item = copy.deepcopy(item)
+        normalized_item.pop('unique_name', None)
+        return SerializerBase._deserialize_value(normalized_item)
+
+    def _validate_item(self, item: Any) -> None:
+        """Raise ``TypeError`` if *item* is not an instance of a protected type."""
+        if not isinstance(item, tuple(self._protected_types)):
+            raise TypeError(f'Items must be one of {self._protected_types}, got {type(item)}')
diff --git a/src/easyscience/base_classes/easy_list.py b/src/easyscience/base_classes/easy_list.py
index 39f04eaa..6af761e6 100644
--- a/src/easyscience/base_classes/easy_list.py
+++ b/src/easyscience/base_classes/easy_list.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from __future__ import annotations
 
@@ -34,12 +35,11 @@ def __init__(
         display_name: Optional[str] = None,
         **kwargs: Any,
     ):
-        """Initialize the EasyList.
-
+        """
+        Initialize the EasyList.
         :param args: Initial items to add to the list
-        :param protected_types: Types that are allowed in the list. Can
-            be a single NewBase subclass or a list of them. If None,
-            defaults to [NewBase].
+        :param protected_types: Types that are allowed in the list. Can be a single NewBase subclass or a list of them.
+                                If None, defaults to [NewBase].
         :param unique_name: Optional unique name for the list
         :param display_name: Optional display name for the list
         """
@@ -48,14 +48,10 @@ def __init__(
             self._protected_types = [NewBase]
         elif isinstance(protected_types, type) and issubclass(protected_types, NewBase):
             self._protected_types = [protected_types]
-        elif isinstance(protected_types, Iterable) and all(
-            issubclass(t, NewBase) for t in protected_types
-        ):
+        elif isinstance(protected_types, Iterable) and all(issubclass(t, NewBase) for t in protected_types):
             self._protected_types = list(protected_types)
         else:
-            raise TypeError(
-                'protected_types must be a NewBase subclass or an iterable of NewBase subclasses'
-            )
+            raise TypeError('protected_types must be a NewBase subclass or an iterable of NewBase subclasses')
         self._data: List[ProtectedType_] = []
 
         # Add initial items
@@ -82,7 +78,8 @@ def __getitem__(self, idx: slice) -> 'EasyList[ProtectedType_]': ...
     @overload
     def __getitem__(self, idx: str) -> ProtectedType_: ...
     def __getitem__(self, idx: int | slice | str) -> ProtectedType_ | 'EasyList[ProtectedType_]':
-        """Get an item by index, slice, or unique_name.
+        """
+        Get an item by index, slice, or unique_name.
 
         :param idx: Index, slice, or unique_name of the item
         :return: The item or a new EasyList for slices
@@ -104,10 +101,9 @@ def __setitem__(self, idx: int, value: ProtectedType_) -> None: ...
     @overload
     def __setitem__(self, idx: slice, value: Iterable[ProtectedType_]) -> None: ...
 
-    def __setitem__(
-        self, idx: int | slice, value: ProtectedType_ | Iterable[ProtectedType_]
-    ) -> None:
-        """Set an item at an index.
+    def __setitem__(self, idx: int | slice, value: ProtectedType_ | Iterable[ProtectedType_]) -> None:
+        """
+        Set an item at an index.
 
         :param idx: Index to set
         :param value: New value
@@ -116,9 +112,7 @@ def __setitem__(
             if not isinstance(value, tuple(self._protected_types)):
                 raise TypeError(f'Items must be one of {self._protected_types}, got {type(value)}')
             if value is not self._data[idx] and value in self:
-                warnings.warn(
-                    f'Item with unique name "{self._get_key(value)}" already in EasyList, it will be ignored'
-                )
+                warnings.warn(f'Item with unique name "{self._get_key(value)}" already in EasyList, it will be ignored')
                 return
             self._data[idx] = value
         elif isinstance(idx, slice):
@@ -127,25 +121,20 @@ def __setitem__(
             replaced = self._data[idx]
             new_values = list(value)
             if len(new_values) != len(replaced):
-                raise ValueError(
-                    'Length of new values must match the length of the slice being replaced'
-                )
+                raise ValueError('Length of new values must match the length of the slice being replaced')
             for i, v in enumerate(new_values):
                 if not isinstance(v, tuple(self._protected_types)):
                     raise TypeError(f'Items must be one of {self._protected_types}, got {type(v)}')
                 if v in self and replaced[i] is not v:
-                    warnings.warn(
-                        f'Item with unique name "{v.unique_name}" already in EasyList, it will be ignored'
-                    )
-                    new_values[i] = replaced[
-                        i
-                    ]  # Keep the original value if the new one is a duplicate
+                    warnings.warn(f'Item with unique name "{v.unique_name}" already in EasyList, it will be ignored')
+                    new_values[i] = replaced[i]  # Keep the original value if the new one is a duplicate
             self._data[idx] = new_values
         else:
             raise TypeError('Index must be an int or slice')
 
     def __delitem__(self, idx: int | slice | str) -> None:
-        """Delete an item by index, slice, or name.
+        """
+        Delete an item by index, slice, or name.
 
         :param idx: Index, slice, or name of item to delete
         """
@@ -165,7 +154,8 @@ def __len__(self) -> int:
         return len(self._data)
 
     def insert(self, index: int, value: ProtectedType_) -> None:
-        """Insert an item at an index.
+        """
+        Insert an item at an index.
 
         :param index: Index to insert at
         :param value: Item to insert
@@ -175,15 +165,13 @@ def insert(self, index: int, value: ProtectedType_) -> None:
         elif not isinstance(value, tuple(self._protected_types)):
             raise TypeError(f'Items must be one of {self._protected_types}, got {type(value)}')
         if value in self:
-            warnings.warn(
-                f'Item with unique name "{self._get_key(value)}" already in EasyList, it will be ignored'
-            )
+            warnings.warn(f'Item with unique name "{self._get_key(value)}" already in EasyList, it will be ignored')
             return
         self._data.insert(index, value)
 
     def _get_key(self, obj) -> str:
-        """Get the unique name of an object.
-
+        """
+        Get the unique name of an object.
         Can be overridden to use a different attribute as the key.
         :param object: Object to get the key for
         :return: The key of the object
@@ -194,9 +182,7 @@ def _get_key(self, obj) -> str:
     # Overwriting methods
 
     def __repr__(self) -> str:
-        return (
-            f'{self.__class__.__name__} of length {len(self)} of type(s) {self._protected_types}'
-        )
+        return f'{self.__class__.__name__} of length {len(self)} of type(s) {self._protected_types}'
 
     def __contains__(self, item: ProtectedType_ | str) -> bool:
         if isinstance(item, str):
@@ -207,7 +193,8 @@ def __reversed__(self):
         return self._data.__reversed__()
 
     def sort(self, key: Callable[[ProtectedType_], Any] = None, reverse: bool = False) -> None:
-        """Sort the collection according to the given key function.
+        """
+        Sort the collection according to the given key function.
 
         :param key: Mapping function to sort by
         :param reverse: Whether to reverse the sort
@@ -225,7 +212,8 @@ def index(self, value: ProtectedType_ | str, start: int = 0, stop: int = None) -
         return self._data.index(value, start, stop)
 
     def pop(self, index: int | str = -1) -> ProtectedType_:
-        """Remove and return an item at the given index or unique_name.
+        """
+        Remove and return an item at the given index or unique_name.
 
         :param index: Index or unique_name of the item to remove
         :return: The removed item
@@ -243,31 +231,29 @@ def pop(self, index: int | str = -1) -> ProtectedType_:
     # Serialization support
 
     def to_dict(self) -> dict:
-        """Convert the EasyList to a dictionary for serialization.
+        """
+        Convert the EasyList to a dictionary for serialization.
 
         :return: Dictionary representation of the EasyList
         """
         dict_repr = super().to_dict()
         if self._protected_types != [NewBase]:
             dict_repr['protected_types'] = [
-                {'@module': cls_.__module__, '@class': cls_.__name__}
-                for cls_ in self._protected_types
+                {'@module': cls_.__module__, '@class': cls_.__name__} for cls_ in self._protected_types
             ]  # noqa: E501
         dict_repr['data'] = [item.to_dict() for item in self._data]
         return dict_repr
 
     @classmethod
     def from_dict(cls, obj_dict: Dict[str, Any]) -> NewBase:
-        """Re-create an EasyScience object from a full encoded
-        dictionary.
+        """
+        Re-create an EasyScience object from a full encoded dictionary.
 
         :param obj_dict: dictionary containing the serialized contents (from `SerializerDict`) of an EasyScience object
         :return: Reformed EasyScience object
         """
         if not SerializerBase._is_serialized_easyscience_object(obj_dict):
-            raise ValueError(
-                'Input must be a dictionary representing an EasyScience EasyList object.'
-            )
+            raise ValueError('Input must be a dictionary representing an EasyScience EasyList object.')
         temp_dict = copy.deepcopy(obj_dict)  # Make a copy to avoid mutating the input
         if temp_dict['@class'] == cls.__name__:
             if 'protected_types' in temp_dict:
@@ -281,9 +267,7 @@ def from_dict(cls, obj_dict: Dict[str, Any]) -> NewBase:
                             cls_ = getattr(mod, classname)
                             protected_types[i] = cls_
                         else:
-                            raise ImportError(
-                                f'Could not import class {classname} from module {modname}'
-                            )
+                            raise ImportError(f'Could not import class {classname} from module {modname}')
                     else:
                         raise ValueError(
                             'Each protected type must be a serialized EasyScience class with @module and @class keys'
@@ -294,6 +278,4 @@ def from_dict(cls, obj_dict: Dict[str, Any]) -> NewBase:
             data = kwargs.pop('data', [])
             return cls(data, protected_types=protected_types, **kwargs)
         else:
-            raise ValueError(
-                f'Class name in dictionary does not match the expected class: {cls.__name__}.'
-            )
+            raise ValueError(f'Class name in dictionary does not match the expected class: {cls.__name__}.')
diff --git a/src/easyscience/base_classes/model_base.py b/src/easyscience/base_classes/model_base.py
index 419492c9..3a6a4061 100644
--- a/src/easyscience/base_classes/model_base.py
+++ b/src/easyscience/base_classes/model_base.py
@@ -1,8 +1,8 @@
-# SPDX-FileCopyrightText: 2025 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 from typing import TYPE_CHECKING
 
 from easyscience.variable.descriptor_number import DescriptorNumber
@@ -20,9 +20,9 @@
 
 
 class ModelBase(NewBase):
-    """This is the base class for all model classes in EasyScience. It
-    provides methods to get parameters for fitting and analysis as well
-    as proper serialization/deserialization for
+    """
+    This is the base class for all model classes in EasyScience.
+    It provides methods to get parameters for fitting and analysis as well as proper serialization/deserialization for
     DescriptorNumber/Parameter attributes.
 
     It assumes that Parameters/DescriptorNumbers are assigned as properties with the getters returning the parameter
@@ -33,7 +33,6 @@ class ModelBase(NewBase):
     def my_param(self) -> Parameter:
         return self._my_param
 
-
     @my_param.setter
     def my_param(self, new_value: float) -> None:
         self._my_param.value = new_value
@@ -44,7 +43,8 @@ def __init__(self, unique_name: Optional[str] = None, display_name: Optional[str
         super().__init__(unique_name=unique_name, display_name=display_name)
 
     def get_all_variables(self) -> List[DescriptorBase]:
-        """Get all `Descriptor` and `Parameter` objects as a list.
+        """
+        Get all `Descriptor` and `Parameter` objects as a list.
 
         :return: List of `Descriptor` and `Parameter` objects.
         """
@@ -58,39 +58,40 @@ def get_all_variables(self) -> List[DescriptorBase]:
         return vars
 
     def get_all_parameters(self) -> List[Parameter]:
-        """Get all `Parameter` objects as a list.
+        """
+        Get all `Parameter` objects as a list.
 
         :return: List of `Parameter` objects.
         """
         return [param for param in self.get_all_variables() if isinstance(param, Parameter)]
 
     def get_fittable_parameters(self) -> List[Parameter]:
-        """Get all parameters which can be fitted as a list.
+        """
+        Get all parameters which can be fitted as a list.
 
         :return: List of `Parameter` objects.
         """
         return [param for param in self.get_all_parameters() if param.independent]
 
     def get_free_parameters(self) -> List[Parameter]:
-        """Get all parameters which are currently free to be fitted as a
-        list.
+        """
+        Get all parameters which are currently free to be fitted as a list.
 
         :return: List of `Parameter` objects.
         """
         return [param for param in self.get_fittable_parameters() if not param.fixed]
 
     def get_fit_parameters(self) -> List[Parameter]:
-        """This is an alias for `get_free_parameters`.
-
-        To be removed when fully moved to new base classes and minimizer
-        can be changed.
+        """
+        This is an alias for `get_free_parameters`.
+        To be removed when fully moved to new base classes and minimizer can be changed.
         """
         return self.get_free_parameters()
 
     @classmethod
     def from_dict(cls, obj_dict: Dict[str, Any]) -> ModelBase:
-        """Re-create an EasyScience object with DescriptorNumber
-        attributes from a full encoded dictionary.
+        """
+        Re-create an EasyScience object with DescriptorNumber attributes from a full encoded dictionary.
 
         :param obj_dict: dictionary containing the serialized contents (from `SerializerDict`) of an EasyScience object
         :return: Reformed EasyScience object
@@ -115,6 +116,4 @@ def from_dict(cls, obj_dict: Dict[str, Any]) -> ModelBase:
                             This should be fixed in the class definition. Error: {e}""") from e
             return cls_instance
         else:
-            raise ValueError(
-                f'Class name in dictionary does not match the expected class: {cls.__name__}.'
-            )
+            raise ValueError(f'Class name in dictionary does not match the expected class: {cls.__name__}.')
diff --git a/src/easyscience/base_classes/new_base.py b/src/easyscience/base_classes/new_base.py
index 778e9ba9..604233bd 100644
--- a/src/easyscience/base_classes/new_base.py
+++ b/src/easyscience/base_classes/new_base.py
@@ -1,8 +1,8 @@
-# SPDX-FileCopyrightText: 2025 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 from inspect import signature
 from typing import TYPE_CHECKING
 
@@ -21,10 +21,9 @@
 
 
 class NewBase:
-    """This is the new base class for easyscience objects.
-
-    It provides serialization capabilities as well as unique naming and
-    display naming.
+    """
+    This is the new base class for easyscience objects.
+    It provides serialization capabilities as well as unique naming and display naming.
     """
 
     def __init__(self, unique_name: Optional[str] = None, display_name: Optional[str] = None):
@@ -44,16 +43,12 @@ def __init__(self, unique_name: Optional[str] = None, display_name: Optional[str
 
     @property
     def _arg_spec(self) -> Set[str]:
-        """This method is used by the serializer to determine which
-        arguments are needed by the constructor to deserialize the
-        object.
+        """
+        This method is used by the serializer to determine which arguments are needed
+        by the constructor to deserialize the object.
         """
         sign = signature(self.__class__.__init__)
-        names = [
-            param.name
-            for param in sign.parameters.values()
-            if param.kind == param.POSITIONAL_OR_KEYWORD
-        ]
+        names = [param.name for param in sign.parameters.values() if param.kind == param.POSITIONAL_OR_KEYWORD]
         return set(names[1:])
 
     @property
@@ -63,11 +58,9 @@ def unique_name(self) -> str:
 
     @unique_name.setter
     def unique_name(self, new_unique_name: str):
-        """Set a new unique name for the object. The old name is still
-        kept in the map.
+        """Set a new unique name for the object. The old name is still kept in the map.
 
-        :param new_unique_name: New unique name for the object
-        """
+        :param new_unique_name: New unique name for the object"""
         if not isinstance(new_unique_name, str):
             raise TypeError('Unique name has to be a string.')
         self._unique_name = new_unique_name
@@ -76,7 +69,8 @@ def unique_name(self, new_unique_name: str):
 
     @property
     def display_name(self) -> str:
-        """Get a pretty display name.
+        """
+        Get a pretty display name.
 
         :return: The pretty display name.
         """
@@ -88,7 +82,8 @@ def display_name(self) -> str:
     @display_name.setter
     @property_stack
     def display_name(self, name: str | None) -> None:
-        """Set the pretty display name.
+        """
+        Set the pretty display name.
 
         :param name: Pretty display name of the object.
         """
@@ -97,13 +92,11 @@ def display_name(self, name: str | None) -> None:
         self._display_name = name
 
     def to_dict(self, skip: Optional[List[str]] = None) -> Dict[str, Any]:
-        """Convert an EasyScience object into a full dictionary using
-        `SerializerBase`s generic `convert_to_dict` method.
+        """
+        Convert an EasyScience object into a full dictionary using `SerializerBase`s generic `convert_to_dict` method.
 
-        :param skip: List of field names as strings to skip when forming
-            the dictionary
-        :return: encoded object containing all information to reform an
-            EasyScience object.
+        :param skip: List of field names as strings to skip when forming the dictionary
+        :return: encoded object containing all information to reform an EasyScience object.
         """
         serializer = SerializerBase()
         if skip is None:
@@ -116,8 +109,8 @@ def to_dict(self, skip: Optional[List[str]] = None) -> Dict[str, Any]:
 
     @classmethod
     def from_dict(cls, obj_dict: Dict[str, Any]) -> NewBase:
-        """Re-create an EasyScience object from a full encoded
-        dictionary.
+        """
+        Re-create an EasyScience object from a full encoded dictionary.
 
         :param obj_dict: dictionary containing the serialized contents (from `SerializerDict`) of an EasyScience object
         :return: Reformed EasyScience object
@@ -128,16 +121,13 @@ def from_dict(cls, obj_dict: Dict[str, Any]) -> NewBase:
             kwargs = SerializerBase.deserialize_dict(obj_dict)
             return cls(**kwargs)
         else:
-            raise ValueError(
-                f'Class name in dictionary does not match the expected class: {cls.__name__}.'
-            )
+            raise ValueError(f'Class name in dictionary does not match the expected class: {cls.__name__}.')
 
     def __dir__(self) -> Iterable[str]:
-        """This creates auto-completion and helps out in iPython
-        notebooks.
+        """
+        This creates auto-completion and helps out in iPython notebooks.
 
-        :return: list of function and parameter names for auto-
-            completion
+        :return: list of function and parameter names for auto-completion
         """
         new_class_objs = list(k for k in dir(self.__class__) if not k.startswith('_'))
         return sorted(new_class_objs)
diff --git a/src/easyscience/base_classes/obj_base.py b/src/easyscience/base_classes/obj_base.py
index 8576b67b..b42991f8 100644
--- a/src/easyscience/base_classes/obj_base.py
+++ b/src/easyscience/base_classes/obj_base.py
@@ -1,8 +1,8 @@
-# SPDX-FileCopyrightText: 2025 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 from typing import TYPE_CHECKING
 from typing import Callable
 from typing import Optional
@@ -16,9 +16,8 @@
 
 
 class ObjBase(BasedBase):
-    """This is the base class for which all higher level classes are
-    built off of.
-
+    """
+    This is the base class for which all higher level classes are built off of.
     NOTE: This object is serializable only if parameters are supplied as:
     `ObjBase(a=value, b=value)`. For `Parameter` or `Descriptor` objects we can
     cheat with `ObjBase(*[Descriptor(...), Parameter(...), ...])`.
@@ -31,7 +30,8 @@ def __init__(
         *args: Optional[SerializerComponent],
         **kwargs: Optional[SerializerComponent],
     ):
-        """Set up the base class.
+        """
+        Set up the base class.
 
         :param name: Name of this object
         :param args: Any arguments?
@@ -64,16 +64,16 @@ def __init__(
             )
 
     def _add_component(self, key: str, component: SerializerComponent) -> None:
-        """Dynamically add a component to the class. This is an internal
-        method, though can be called remotely. The recommended
-        alternative is to use typing, i.e.
+        """
+        Dynamically add a component to the class. This is an internal method, though can be called remotely.
+        The recommended alternative is to use typing, i.e.
 
         .. code-block:: python
 
             class Foo(Bar):
                 def __init__(self, foo: Parameter, bar: Parameter):
                     super(Foo, self).__init__(bar=bar)
-                    self._add_component('foo', foo)
+                    self._add_component("foo", foo)
 
         :param key: Name of component to be added
         :param component: Component to be added
@@ -133,9 +133,7 @@ def getter(obj: SerializerComponent) -> SerializerComponent:
     @staticmethod
     def __setter(key: str) -> Callable[[SerializerComponent], None]:
         def setter(obj: SerializerComponent, value: float) -> None:
-            if issubclass(obj._kwargs[key].__class__, (DescriptorBase)) and not issubclass(
-                value.__class__, (DescriptorBase)
-            ):
+            if issubclass(obj._kwargs[key].__class__, (DescriptorBase)) and not issubclass(value.__class__, (DescriptorBase)):
                 obj._kwargs[key].value = value
             else:
                 obj._kwargs[key] = value
diff --git a/src/easyscience/fitting/__init__.py b/src/easyscience/fitting/__init__.py
index 54bad74a..f34b8b81 100644
--- a/src/easyscience/fitting/__init__.py
+++ b/src/easyscience/fitting/__init__.py
@@ -1,6 +1,3 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from .available_minimizers import AvailableMinimizers
 from .fitter import Fitter
 from .minimizers.utils import FitResults
diff --git a/src/easyscience/fitting/available_minimizers.py b/src/easyscience/fitting/available_minimizers.py
index 0cfd262b..2d1fb717 100644
--- a/src/easyscience/fitting/available_minimizers.py
+++ b/src/easyscience/fitting/available_minimizers.py
@@ -1,6 +1,3 @@
-# SPDX-FileCopyrightText: 2024 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 import warnings
 from dataclasses import dataclass
 from enum import Enum
@@ -16,11 +13,7 @@
     lmfit_engine_available = True
 except ImportError:
     # TODO make this a proper message (use logging?)
-    warnings.warn(
-        'LMFit minimization is not available. Probably lmfit has not been installed.',
-        ImportWarning,
-        stacklevel=2,
-    )
+    warnings.warn('LMFit minimization is not available. Probably lmfit has not been installed.', ImportWarning, stacklevel=2)
 
 bumps_engine_available = False
 try:
@@ -29,11 +22,7 @@
     bumps_engine_available = True
 except ImportError:
     # TODO make this a proper message (use logging?)
-    warnings.warn(
-        'Bumps minimization is not available. Probably bumps has not been installed.',
-        ImportWarning,
-        stacklevel=2,
-    )
+    warnings.warn('Bumps minimization is not available. Probably bumps has not been installed.', ImportWarning, stacklevel=2)
 
 dfo_engine_available = False
 try:
@@ -42,11 +31,7 @@
     dfo_engine_available = True
 except ImportError:
     # TODO make this a proper message (use logging?)
-    warnings.warn(
-        'DFO minimization is not available. Probably dfols has not been installed.',
-        ImportWarning,
-        stacklevel=2,
-    )
+    warnings.warn('DFO minimization is not available. Probably dfols has not been installed.', ImportWarning, stacklevel=2)
 
 
 @dataclass
diff --git a/src/easyscience/fitting/calculators/__init__.py b/src/easyscience/fitting/calculators/__init__.py
index 4104ddae..a3ca5d43 100644
--- a/src/easyscience/fitting/calculators/__init__.py
+++ b/src/easyscience/fitting/calculators/__init__.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2025 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/easyscience
 
 from .interface_factory import InterfaceFactoryTemplate
 
diff --git a/src/easyscience/fitting/calculators/interface_factory.py b/src/easyscience/fitting/calculators/interface_factory.py
index f9103523..ca4713fd 100644
--- a/src/easyscience/fitting/calculators/interface_factory.py
+++ b/src/easyscience/fitting/calculators/interface_factory.py
@@ -1,8 +1,8 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 from typing import TYPE_CHECKING
 from typing import Callable
 from typing import List
@@ -17,8 +17,8 @@
 
 
 class InterfaceFactoryTemplate:
-    """This class allows for the creation and transference of
-    interfaces.
+    """
+    This class allows for the creation and transference of interfaces.
     """
 
     def __init__(self, interface_list: List[ABCMeta], *args, **kwargs):
@@ -28,9 +28,9 @@ def __init__(self, interface_list: List[ABCMeta], *args, **kwargs):
         self.create(*args, **kwargs)
 
     def create(self, *args, **kwargs):
-        """Create an interface to a calculator from those initialized.
-        Interfaces can be selected by `interface_name` where
-        `interface_name` is one of `obj.available_interfaces`. This
+        """
+        Create an interface to a calculator from those initialized. Interfaces can be selected
+        by `interface_name` where `interface_name` is one of `obj.available_interfaces`. This
         interface can now be accessed by obj().
 
         :param interface_name: name of interface to be created
@@ -52,15 +52,13 @@ def create(self, *args, **kwargs):
         self.__interface_obj = self._current_interface(*args, **kwargs)
 
     def switch(self, new_interface: str, fitter: Optional[Type[Fitter]] = None):
-        """Changes the current interface to a new interface. The current
-        interface is destroyed and all SerializerComponent parameters
-        carried over to the new interface. i.e. pick up where you left
-        off.
+        """
+        Changes the current interface to a new interface. The current interface is destroyed and
+        all SerializerComponent parameters carried over to the new interface. i.e. pick up where you left off.
 
         :param new_interface: name of new interface to be created
         :type new_interface: str
-        :param fitter: Fitting interface which contains the fitting
-            object which may have bindings which will be updated.
+        :param fitter: Fitting interface which contains the fitting object which may have bindings which will be updated.
         :type fitter: EasyScience.fitting.Fitter
         :return: None
         :rtype: noneType
@@ -87,7 +85,8 @@ def switch(self, new_interface: str, fitter: Optional[Type[Fitter]] = None):
 
     @property
     def available_interfaces(self) -> List[str]:
-        """Return all available interfaces.
+        """
+        Return all available interfaces.
 
         :return: List of available interface names
         :rtype: List[str]
@@ -96,7 +95,8 @@ def available_interfaces(self) -> List[str]:
 
     @property
     def current_interface(self) -> ABCMeta:
-        """Returns the constructor for the currently selected interface.
+        """
+        Returns the constructor for the currently selected interface.
 
         :return: Interface constructor
         :rtype: InterfaceTemplate
@@ -105,8 +105,8 @@ def current_interface(self) -> ABCMeta:
 
     @property
     def current_interface_name(self) -> str:
-        """Returns the constructor name for the currently selected
-        interface.
+        """
+        Returns the constructor name for the currently selected interface.
 
         :return: Interface constructor name
         :rtype: str
@@ -117,7 +117,8 @@ def current_interface_name(self) -> str:
     def fit_func(
         self,
     ) -> Callable:  # , x_array: np.ndarray, *args, **kwargs) -> np.ndarray:
-        """Pass through to the underlying interfaces fitting function.
+        """
+        Pass through to the underlying interfaces fitting function.
 
         :param x_array: points to be calculated at
         :type x_array: np.ndarray
@@ -127,8 +128,7 @@ def fit_func(
         :type kwargs: Any
         :return: points calculated at positional values `x`
         :rtype: np.ndarray
-        #
-        """
+        #"""
 
         def __fit_func(*args, **kwargs):
             return self.__interface_obj.fit_func(*args, **kwargs)
@@ -139,9 +139,8 @@ def call(self, *args, **kwargs):
         return self.fit_func(*args, **kwargs)
 
     def generate_bindings(self, model, *args, ifun=None, **kwargs):
-        """Automatically bind a `Parameter` to the corresponding
-        interface.
-
+        """
+        Automatically bind a `Parameter` to the corresponding interface.
         :param name: parameter name
         :type name: str
         :return: binding property
@@ -190,7 +189,9 @@ def __state_restore__(cls, interface_str):
 
     @staticmethod
     def return_name(this_interface) -> str:
-        """Return an interfaces name."""
+        """
+        Return an interfaces name
+        """
         interface_name = this_interface.__name__
         if hasattr(this_interface, 'name'):
             interface_name = getattr(this_interface, 'name')
diff --git a/src/easyscience/fitting/fitter.py b/src/easyscience/fitting/fitter.py
index 70524996..1ccacbe1 100644
--- a/src/easyscience/fitting/fitter.py
+++ b/src/easyscience/fitting/fitter.py
@@ -1,6 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 import functools
 from typing import Callable
 from typing import List
@@ -19,8 +19,8 @@
 
 
 class Fitter:
-    """Fitter is a class which makes it possible to undertake fitting
-    utilizing one of the supported minimizers.
+    """
+    Fitter is a class which makes it possible to undertake fitting utilizing one of the supported minimizers.
     """
 
     def __init__(self, fit_object, fit_function: Callable):
@@ -45,7 +45,8 @@ def convert_to_pars_obj(self, pars) -> object:
 
     # TODO: remove this method when we are ready to adjust the dependent products
     def initialize(self, fit_object, fit_function: Callable) -> None:
-        """Set the model and callable in the calculator interface.
+        """
+        Set the model and callable in the calculator interface.
 
         :param fit_object: The EasyScience model object
         :param fit_function: The function to be optimized against.
@@ -56,10 +57,9 @@ def initialize(self, fit_object, fit_function: Callable) -> None:
 
     # TODO: remove this method when we are ready to adjust the dependent products
     def create(self, minimizer_enum: Union[AvailableMinimizers, str] = DEFAULT_MINIMIZER) -> None:
-        """Create the required minimizer.
-
-        :param minimizer_enum: The enum of the minimization engine to
-            create.
+        """
+        Create the required minimizer.
+        :param minimizer_enum: The enum of the minimization engine to create.
         """
         if isinstance(minimizer_enum, str):
             print(f'minimizer should be set with enum {minimizer_enum}')
@@ -67,10 +67,10 @@ def create(self, minimizer_enum: Union[AvailableMinimizers, str] = DEFAULT_MINIM
         self._update_minimizer(minimizer_enum)
 
     def switch_minimizer(self, minimizer_enum: Union[AvailableMinimizers, str]) -> None:
-        """Switch minimizer and initialize.
+        """
+        Switch minimizer and initialize.
 
-        :param minimizer_enum: The enum of the minimizer to create and
-            instantiate.
+        :param minimizer_enum: The enum of the minimizer to create and instantiate.
         """
         if isinstance(minimizer_enum, str):
             print(f'minimizer should be set with enum {minimizer_enum}')
@@ -79,16 +79,13 @@ def switch_minimizer(self, minimizer_enum: Union[AvailableMinimizers, str]) -> N
         self._update_minimizer(minimizer_enum)
 
     def _update_minimizer(self, minimizer_enum: AvailableMinimizers) -> None:
-        self._minimizer = factory(
-            minimizer_enum=minimizer_enum,
-            fit_object=self._fit_object,
-            fit_function=self.fit_function,
-        )
+        self._minimizer = factory(minimizer_enum=minimizer_enum, fit_object=self._fit_object, fit_function=self.fit_function)
         self._enum_current_minimizer = minimizer_enum
 
     @property
     def available_minimizers(self) -> List[str]:
-        """Get a list of the names of available fitting minimizers.
+        """
+        Get a list of the names of available fitting minimizers
 
         :return: List of available fitting minimizers
         :rtype: List[str]
@@ -97,7 +94,8 @@ def available_minimizers(self) -> List[str]:
 
     @property
     def minimizer(self) -> MinimizerBase:
-        """Get the current fitting minimizer object.
+        """
+        Get the current fitting minimizer object.
 
         :return:
         :rtype: MinimizerBase
@@ -106,7 +104,8 @@ def minimizer(self) -> MinimizerBase:
 
     @property
     def tolerance(self) -> float:
-        """Get the tolerance for the minimizer.
+        """
+        Get the tolerance for the minimizer.
 
         :return: Tolerance for the minimizer
         """
@@ -114,7 +113,8 @@ def tolerance(self) -> float:
 
     @tolerance.setter
     def tolerance(self, tolerance: float) -> None:
-        """Set the tolerance for the minimizer.
+        """
+        Set the tolerance for the minimizer.
 
         :param tolerance: Tolerance for the minimizer
         """
@@ -122,7 +122,8 @@ def tolerance(self, tolerance: float) -> None:
 
     @property
     def max_evaluations(self) -> int:
-        """Get the maximal number of evaluations for the minimizer.
+        """
+        Get the maximal number of evaluations for the minimizer.
 
         :return: Maximal number of steps for the minimizer
         """
@@ -130,24 +131,25 @@ def max_evaluations(self) -> int:
 
     @max_evaluations.setter
     def max_evaluations(self, max_evaluations: int) -> None:
-        """Set the maximal number of evaluations for the minimizer.
+        """
+        Set the maximal number of evaluations for the minimizer.
 
-        :param max_evaluations: Maximal number of steps for the
-            minimizer
+        :param max_evaluations: Maximal number of steps for the minimizer
         """
         self._max_evaluations = max_evaluations
 
     @property
     def fit_function(self) -> Callable:
-        """The raw fit function that the optimizer will call (no
-        wrapping) :return: Raw fit function.
+        """
+        The raw fit function that the optimizer will call (no wrapping)
+        :return: Raw fit function
         """
         return self._fit_function
 
     @fit_function.setter
     def fit_function(self, fit_function: Callable) -> None:
-        """Set the raw fit function to a new one.
-
+        """
+        Set the raw fit function to a new one.
         :param fit_function: New fit function
         :return: None
         """
@@ -156,25 +158,26 @@ def fit_function(self, fit_function: Callable) -> None:
 
     @property
     def fit_object(self):
-        """The EasyScience object which will be used as a model :return:
-
-        EasyScience Model.
+        """
+        The EasyScience object which will be used as a model
+        :return: EasyScience Model
         """
         return self._fit_object
 
     @fit_object.setter
     def fit_object(self, fit_object) -> None:
-        """Set the EasyScience object which wil be used as a model
-        :param fit_object: New EasyScience object :return: None.
+        """
+        Set the EasyScience object which wil be used as a model
+        :param fit_object: New EasyScience object
+        :return: None
         """
         self._fit_object = fit_object
         self._update_minimizer(self._enum_current_minimizer)
 
     def _fit_function_wrapper(self, real_x=None, flatten: bool = True) -> Callable:
-        """Simple fit function which injects the real X (independent)
-        values into the optimizer function.
-
-        This will also flatten the results if needed.
+        """
+        Simple fit function which injects the real X (independent) values into the
+        optimizer function. This will also flatten the results if needed.
         :param real_x: Independent x parameters to be injected
         :param flatten: Should the result be a flat 1D array?
         :return: Wrapped optimizer function.
@@ -194,13 +197,10 @@ def wrapped_fit_function(x, **kwargs):
 
     @property
     def fit(self) -> Callable:
-        """Property which wraps the current `fit` function from the
-        fitting interface.
-
-        This property return a wrapped fit function which converts the
-        input data into the correct shape for the optimizer, wraps the
-        fit function to re-constitute the independent variables and once
-        the fit is completed, reshape the inputs to those expected.
+        """
+        Property which wraps the current `fit` function from the fitting interface. This property return a wrapped fit
+        function which converts the input data into the correct shape for the optimizer, wraps the fit function to
+        re-constitute the independent variables and once the fit is completed, reshape the inputs to those expected.
         """
 
         @functools.wraps(self._minimizer.fit)
@@ -211,25 +211,20 @@ def inner_fit_callable(
             vectorized: bool = False,
             **kwargs,
         ) -> FitResults:
-            """This is a wrapped callable which performs the actual
-            fitting. It is split into.
-
+            """
+            This is a wrapped callable which performs the actual fitting. It is split into
             3 sections, PRE/ FIT/ POST.
             - PRE = Reshaping the input data into the correct dimensions for the optimizer
             - FIT = Wrapping the fit function and performing the fit
             - POST = Reshaping the outputs so it is coherent with the inputs.
             """
             # Precompute - Reshape all independents into the correct dimensionality
-            x_fit, x_new, y_new, weights, dims = self._precompute_reshaping(
-                x, y, weights, vectorized
-            )
+            x_fit, x_new, y_new, weights, dims = self._precompute_reshaping(x, y, weights, vectorized)
             self._dependent_dims = dims
 
             # Fit
             fit_fun_org = self._fit_function
-            fit_fun_wrap = self._fit_function_wrapper(
-                x_new, flatten=True
-            )  # This should be wrapped.
+            fit_fun_wrap = self._fit_function_wrapper(x_new, flatten=True)  # This should be wrapped.
             self.fit_function = fit_fun_wrap
             f_res = self._minimizer.fit(
                 x_fit,
@@ -255,8 +250,8 @@ def _precompute_reshaping(
         weights: Optional[np.ndarray],
         vectorized: bool,
     ):
-        """Check the dimensions of the inputs and reshape if necessary.
-
+        """
+        Check the dimensions of the inputs and reshape if necessary.
         :param x: ND matrix of dependent points
         :param y: N-1D matrix of independent points
         :param kwargs: Additional key-word arguments
@@ -298,11 +293,9 @@ def _precompute_reshaping(
         return x_for_fit, x_new, y_new, weights, x_shape
 
     @staticmethod
-    def _post_compute_reshaping(
-        fit_result: FitResults, x: np.ndarray, y: np.ndarray
-    ) -> FitResults:
-        """Reshape the output of the fitter into the correct dimensions.
-
+    def _post_compute_reshaping(fit_result: FitResults, x: np.ndarray, y: np.ndarray) -> FitResults:
+        """
+        Reshape the output of the fitter into the correct dimensions.
         :param fit_result: Output from the fitter
         :param x: Input x independent
         :param y: Input y dependent
diff --git a/src/easyscience/fitting/minimizers/__init__.py b/src/easyscience/fitting/minimizers/__init__.py
index ca70e748..5ca5ee06 100644
--- a/src/easyscience/fitting/minimizers/__init__.py
+++ b/src/easyscience/fitting/minimizers/__init__.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2024 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/easyscience
 
 from .minimizer_base import MinimizerBase
 from .minimizer_bumps import Bumps
diff --git a/src/easyscience/fitting/minimizers/factory.py b/src/easyscience/fitting/minimizers/factory.py
index 335d288c..2797f61d 100644
--- a/src/easyscience/fitting/minimizers/factory.py
+++ b/src/easyscience/fitting/minimizers/factory.py
@@ -1,6 +1,3 @@
-# SPDX-FileCopyrightText: 2024 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from typing import Callable
 
 from .. import available_minimizers
@@ -15,9 +12,7 @@
     from .minimizer_bumps import Bumps
 
 
-def factory(
-    minimizer_enum: AvailableMinimizers, fit_object, fit_function: Callable
-) -> MinimizerBase:
+def factory(minimizer_enum: AvailableMinimizers, fit_object, fit_function: Callable) -> MinimizerBase:
     if minimizer_enum.package == 'lm':
         minimizer = LMFit(obj=fit_object, fit_function=fit_function, minimizer_enum=minimizer_enum)
 
diff --git a/src/easyscience/fitting/minimizers/minimizer_base.py b/src/easyscience/fitting/minimizers/minimizer_base.py
index b4539ac4..0b864657 100644
--- a/src/easyscience/fitting/minimizers/minimizer_base.py
+++ b/src/easyscience/fitting/minimizers/minimizer_base.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from abc import ABCMeta
 from abc import abstractmethod
@@ -27,8 +28,8 @@
 
 
 class MinimizerBase(metaclass=ABCMeta):
-    """This template class is the basis for all minimizer engines in
-    `EasyScience`.
+    """
+    This template class is the basis for all minimizer engines in `EasyScience`.
     """
 
     package: str = None
@@ -71,7 +72,8 @@ def fit(
         max_evaluations: Optional[int] = None,
         **kwargs,
     ) -> FitResults:
-        """Perform a fit using the  engine.
+        """
+        Perform a fit using the  engine.
 
         :param x: points to be calculated at
         :type x: np.ndarray
@@ -87,13 +89,10 @@ def fit(
         :return: Fit results
         """
 
-    def evaluate(
-        self, x: np.ndarray, minimizer_parameters: Optional[dict[str, float]] = None, **kwargs
-    ) -> np.ndarray:
-        """Evaluate the fit function for values of x. Parameters used
-        are either the latest or user supplied. If the parameters are
-        user supplied, it must be in a dictionary of {'parameter_name':
-        parameter_value,...}.
+    def evaluate(self, x: np.ndarray, minimizer_parameters: Optional[dict[str, float]] = None, **kwargs) -> np.ndarray:
+        """
+        Evaluate the fit function for values of x. Parameters used are either the latest or user supplied.
+        If the parameters are user supplied, it must be in a dictionary of {'parameter_name': parameter_value,...}.
 
         :param x: x values for which the fit function will be evaluated
         :type x:  np.ndarray
@@ -130,11 +129,10 @@ def _get_method_kwargs(self, passed_method: Optional[str] = None) -> dict[str, s
 
     @abstractmethod
     def convert_to_pars_obj(self, par_list: Optional[Union[list]] = None):
-        """Create an engine compatible container with the `Parameters`
-        converted from the base object.
+        """
+        Create an engine compatible container with the `Parameters` converted from the base object.
 
-        :param par_list: If only a single/selection of parameter is
-            required. Specify as a list
+        :param par_list: If only a single/selection of parameter is required. Specify as a list
         :type par_list: List[str]
         :return: engine Parameters compatible object
         """
@@ -142,7 +140,8 @@ def convert_to_pars_obj(self, par_list: Optional[Union[list]] = None):
     @staticmethod
     @abstractmethod
     def supported_methods() -> List[str]:
-        """Return a list of supported methods for the minimizer.
+        """
+        Return a list of supported methods for the minimizer.
 
         :return: List of supported methods
         :rtype: List[str]
@@ -151,7 +150,8 @@ def supported_methods() -> List[str]:
     @staticmethod
     @abstractmethod
     def all_methods() -> List[str]:
-        """Return a list of all available methods for the minimizer.
+        """
+        Return a list of all available methods for the minimizer.
 
         :return: List of all available methods
         :rtype: List[str]
@@ -160,15 +160,15 @@ def all_methods() -> List[str]:
     @staticmethod
     @abstractmethod
     def convert_to_par_object(obj):  # todo after constraint changes, add type hint: obj: ObjBase
-        """Convert an `EasyScience.variable.Parameter` object to an
-        engine Parameter object.
+        """
+        Convert an `EasyScience.variable.Parameter` object to an engine Parameter object.
         """
 
     def _prepare_parameters(self, parameters: dict[str, float]) -> dict[str, float]:
-        """Prepare the parameters for the minimizer.
+        """
+        Prepare the parameters for the minimizer.
 
-        :param parameters: Dict of parameters for the minimizer with
-            names as keys.
+        :param parameters: Dict of parameters for the minimizer with names as keys.
         """
         pars = self._cached_pars
 
@@ -179,8 +179,9 @@ def _prepare_parameters(self, parameters: dict[str, float]) -> dict[str, float]:
         return parameters
 
     def _generate_fit_function(self) -> Callable:
-        """Using the user supplied `fit_function`, wrap it in such a way
-        we can update `Parameter` on iterations.
+        """
+        Using the user supplied `fit_function`, wrap it in such a way we can update `Parameter` on
+        iterations.
 
         :return: a fit function which is compatible with bumps models
         """
@@ -196,8 +197,8 @@ def _generate_fit_function(self) -> Callable:
 
         # Make a new fit function
         def _fit_function(x: np.ndarray, **kwargs):
-            """Wrapped fit function which now has an EasyScience
-            compatible form.
+            """
+            Wrapped fit function which now has an EasyScience compatible form
 
             :param x: array of data points to be calculated
             :type x: np.ndarray
@@ -226,16 +227,14 @@ def _fit_function(x: np.ndarray, **kwargs):
 
     @staticmethod
     def _create_signature(parameters: Dict[int, Parameter]) -> Signature:
-        """Wrap the function signature.
-
+        """
+        Wrap the function signature.
         This is done as lmfit wants the function to be in the form:
         f = (x, a=1, b=2)...
         Where we need to be generic. Note that this won't hold for much outside of this scope.
         """
         wrapped_parameters = []
-        wrapped_parameters.append(
-            InspectParameter('x', InspectParameter.POSITIONAL_OR_KEYWORD, annotation=_empty)
-        )
+        wrapped_parameters.append(InspectParameter('x', InspectParameter.POSITIONAL_OR_KEYWORD, annotation=_empty))
 
         for name, parameter in parameters.items():
             default_value = parameter.value
@@ -251,9 +250,7 @@ def _create_signature(parameters: Dict[int, Parameter]) -> Signature:
         return Signature(wrapped_parameters)
 
     @staticmethod
-    def _error_from_jacobian(
-        jacobian: np.ndarray, residuals: np.ndarray, confidence: float = 0.95
-    ) -> np.ndarray:
+    def _error_from_jacobian(jacobian: np.ndarray, residuals: np.ndarray, confidence: float = 0.95) -> np.ndarray:
         from scipy import stats
 
         JtJi = np.linalg.inv(np.dot(jacobian.T, jacobian))
diff --git a/src/easyscience/fitting/minimizers/minimizer_bumps.py b/src/easyscience/fitting/minimizers/minimizer_bumps.py
index 37f8873e..3315d2eb 100644
--- a/src/easyscience/fitting/minimizers/minimizer_bumps.py
+++ b/src/easyscience/fitting/minimizers/minimizer_bumps.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import copy
 from typing import Callable
@@ -42,8 +43,8 @@ def __init__(
         fit_function: Callable,
         minimizer_enum: Optional[AvailableMinimizers] = None,
     ):  # todo after constraint changes, add type hint: obj: ObjBase  # noqa: E501
-        """Initialize the fitting engine with a `ObjBase` and an
-        arbitrary fitting function.
+        """
+        Initialize the fitting engine with a `ObjBase` and an arbitrary fitting function.
 
         :param obj: Object containing elements of the `Parameter` class
         :type obj: ObjBase
@@ -79,7 +80,8 @@ def fit(
         engine_kwargs: Optional[dict] = None,
         **kwargs,
     ) -> FitResults:
-        """Perform a fit using the lmfit engine.
+        """
+        Perform a fit using the lmfit engine.
 
         :param x: points to be calculated at
         :type x: np.ndarray
@@ -95,10 +97,12 @@ def fit(
         :param method: Method for minimization
         :type method: str
         :return: Fit results
-        :rtype: ModelResult For standard least squares, the weights
-            should be 1/sigma, where sigma is the standard deviation of
-            the measurement. For unweighted least squares, these should
-            be 1.
+        :rtype: ModelResult
+
+        For standard least squares, the weights should be 1/sigma, where
+        sigma is the standard deviation of the measurement. For
+        unweighted least squares, these should be 1.
+
         """
         method_dict = self._get_method_kwargs(method)
 
@@ -125,9 +129,7 @@ def fit(
 
         if tolerance is not None:
             minimizer_kwargs['ftol'] = tolerance  # tolerance for change in function value
-            minimizer_kwargs['xtol'] = (
-                tolerance  # tolerance for change in parameter value, could be an independent value
-            )
+            minimizer_kwargs['xtol'] = tolerance  # tolerance for change in parameter value, could be an independent value
         if max_evaluations is not None:
             minimizer_kwargs['steps'] = max_evaluations
 
@@ -156,11 +158,10 @@ def fit(
         return results
 
     def convert_to_pars_obj(self, par_list: Optional[List] = None) -> List[BumpsParameter]:
-        """Create a container with the `Parameters` converted from the
-        base object.
+        """
+        Create a container with the `Parameters` converted from the base object.
 
-        :param par_list: If only a single/selection of parameter is
-            required. Specify as a list
+        :param par_list: If only a single/selection of parameter is required. Specify as a list
         :type par_list: List[str]
         :return: bumps Parameters list
         :rtype: List[BumpsParameter]
@@ -174,8 +175,8 @@ def convert_to_pars_obj(self, par_list: Optional[List] = None) -> List[BumpsPara
     # For some reason I have to double staticmethod :-/
     @staticmethod
     def convert_to_par_object(obj) -> BumpsParameter:
-        """Convert an `EasyScience.variable.Parameter` object to a bumps
-        Parameter object.
+        """
+        Convert an `EasyScience.variable.Parameter` object to a bumps Parameter object
 
         :return: bumps Parameter compatible object.
         :rtype: BumpsParameter
@@ -191,9 +192,9 @@ def convert_to_par_object(obj) -> BumpsParameter:
         )
 
     def _make_model(self, parameters: Optional[List[BumpsParameter]] = None) -> Callable:
-        """Generate a bumps model from the supplied `fit_function` and
-        parameters in the base object. Note that this makes a callable
-        as it needs to be initialized with *x*, *y*, *weights*
+        """
+        Generate a bumps model from the supplied `fit_function` and parameters in the base object.
+        Note that this makes a callable as it needs to be initialized with *x*, *y*, *weights*
 
         Weights are converted to dy (standard deviation of y).
 
@@ -207,25 +208,19 @@ def _make_func(x, y, weights):
                 bumps_pars = {}
                 if not parameters:
                     for name, par in obj._cached_pars.items():
-                        bumps_pars[MINIMIZER_PARAMETER_PREFIX + str(name)] = (
-                            obj.convert_to_par_object(par)
-                        )
+                        bumps_pars[MINIMIZER_PARAMETER_PREFIX + str(name)] = obj.convert_to_par_object(par)
                 else:
                     for par in parameters:
-                        bumps_pars[MINIMIZER_PARAMETER_PREFIX + par.unique_name] = (
-                            obj.convert_to_par_object(par)
-                        )
+                        bumps_pars[MINIMIZER_PARAMETER_PREFIX + par.unique_name] = obj.convert_to_par_object(par)
                 return Curve(fit_func, x, y, dy=1 / weights, **bumps_pars)
 
             return _make_func
 
         return _outer(self)
 
-    def _set_parameter_fit_result(
-        self, fit_result, stack_status: bool, par_list: List[BumpsParameter]
-    ):
-        """Update parameters to their final values and assign a std
-        error to them.
+    def _set_parameter_fit_result(self, fit_result, stack_status: bool, par_list: List[BumpsParameter]):
+        """
+        Update parameters to their final values and assign a std error to them.
 
         :param fit_result: Fit object which contains info on the fit
         :return: None
@@ -250,7 +245,8 @@ def _set_parameter_fit_result(
             global_object.stack.endMacro()
 
     def _gen_fit_results(self, fit_results, **kwargs) -> FitResults:
-        """Convert fit results into the unified `FitResults` format.
+        """
+        Convert fit results into the unified `FitResults` format
 
         :param fit_result: Fit object which contains info on the fit
         :return: fit results container
diff --git a/src/easyscience/fitting/minimizers/minimizer_dfo.py b/src/easyscience/fitting/minimizers/minimizer_dfo.py
index a480c823..dacef618 100644
--- a/src/easyscience/fitting/minimizers/minimizer_dfo.py
+++ b/src/easyscience/fitting/minimizers/minimizer_dfo.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from typing import Callable
 from typing import Dict
@@ -33,8 +34,8 @@ def __init__(
         fit_function: Callable,
         minimizer_enum: Optional[AvailableMinimizers] = None,
     ):  # todo after constraint changes, add type hint: obj: ObjBase  # noqa: E501
-        """Initialize the fitting engine with a `ObjBase` and an
-        arbitrary fitting function.
+        """
+        Initialize the fitting engine with a `ObjBase` and an arbitrary fitting function.
 
         :param obj: Object containing elements of the `Parameter` class
         :type obj: ObjBase
@@ -66,7 +67,8 @@ def fit(
         max_evaluations: Optional[int] = None,
         **kwargs,
     ) -> FitResults:
-        """Perform a fit using the DFO-ls engine.
+        """
+        Perform a fit using the DFO-ls engine.
 
         :param x: points to be calculated at
         :type x: np.ndarray
@@ -82,10 +84,11 @@ def fit(
         :param method: Method for minimization
         :type method: str
         :return: Fit results
-        :rtype: ModelResult For standard least squares, the weights
-            should be 1/sigma, where sigma is the standard deviation of
-            the measurement. For unweighted least squares, these should
-            be 1.
+        :rtype: ModelResult
+
+        For standard least squares, the weights should be 1/sigma, where
+        sigma is the standard deviation of the measurement. For
+        unweighted least squares, these should be 1.
         """
         x, y, weights = np.asarray(x), np.asarray(y), np.asarray(weights)
 
@@ -129,18 +132,22 @@ def fit(
         return results
 
     def convert_to_pars_obj(self, par_list: Optional[list] = None):
-        """Required by interface but not needed for DFO-LS."""
+        """
+        Required by interface but not needed for DFO-LS
+        """
         pass
 
     @staticmethod
     def convert_to_par_object(obj) -> None:
-        """Required by interface but not needed for DFO-LS."""
+        """
+        Required by interface but not needed for DFO-LS
+        """
         pass
 
     def _make_model(self, parameters: Optional[List[Parameter]] = None) -> Callable:
-        """Generate a model from the supplied `fit_function` and
-        parameters in the base object. Note that this makes a callable
-        as it needs to be initialized with *x*, *y*, *weights*
+        """
+        Generate a model from the supplied `fit_function` and parameters in the base object.
+        Note that this makes a callable as it needs to be initialized with *x*, *y*, *weights*
 
         :return: Callable model which returns residuals
         :rtype: Callable
@@ -169,12 +176,11 @@ def _residuals(pars_values: List[float]) -> np.ndarray:
         return _outer(self)
 
     def _set_parameter_fit_result(self, fit_result, stack_status, ci: float = 0.95) -> None:
-        """Update parameters to their final values and assign a std
-        error to them.
+        """
+        Update parameters to their final values and assign a std error to them.
 
         :param fit_result: Fit object which contains info on the fit
-        :param ci: Confidence interval for calculating errors. Default
-            95%
+        :param ci: Confidence interval for calculating errors. Default 95%
         :return: None
         :rtype: noneType
         """
@@ -197,7 +203,8 @@ def _set_parameter_fit_result(self, fit_result, stack_status, ci: float = 0.95)
             global_object.stack.endMacro()
 
     def _gen_fit_results(self, fit_results, weights, **kwargs) -> FitResults:
-        """Convert fit results into the unified `FitResults` format.
+        """
+        Convert fit results into the unified `FitResults` format
 
         :param fit_result: Fit object which contains info on the fit
         :return: fit results container
@@ -235,8 +242,8 @@ def _dfo_fit(
         model: Callable,
         **kwargs,
     ):
-        """Method to convert EasyScience styling to DFO-LS styling (yes,
-        again)
+        """
+        Method to convert EasyScience styling to DFO-LS styling (yes, again)
 
         :param model: Model which accepts f(x[0])
         :type model: Callable
diff --git a/src/easyscience/fitting/minimizers/minimizer_lmfit.py b/src/easyscience/fitting/minimizers/minimizer_lmfit.py
index 4a8104b2..2c63cea3 100644
--- a/src/easyscience/fitting/minimizers/minimizer_lmfit.py
+++ b/src/easyscience/fitting/minimizers/minimizer_lmfit.py
@@ -1,5 +1,7 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
+
 
 from typing import Callable
 from typing import List
@@ -36,11 +38,10 @@ def __init__(
         fit_function: Callable,
         minimizer_enum: Optional[AvailableMinimizers] = None,
     ):  # todo after constraint changes, add type hint: obj: ObjBase  # noqa: E501
-        """Initialize the minimizer with the `ObjBase` and the
-        `fit_function` to be used.
+        """
+        Initialize the minimizer with the `ObjBase` and the `fit_function` to be used.
 
-        :param obj: Base object which contains the parameters to be
-            fitted
+        :param obj: Base object which contains the parameters to be fitted
         :type obj: ObjBase
         :param fit_function: Function which will be fitted to the data
         :type fit_function: Callable
@@ -90,7 +91,8 @@ def fit(
         engine_kwargs: Optional[dict] = None,
         **kwargs,
     ) -> FitResults:
-        """Perform a fit using the lmfit engine.
+        """
+        Perform a fit using the lmfit engine.
 
         :param method:
         :type method:
@@ -104,15 +106,16 @@ def fit(
         :type model: LMModel
         :param parameters: Optional parameters for the fit
         :type parameters: LMParameters
-        :param minimizer_kwargs: Arguments to be passed directly to the
-            minimizer
+        :param minimizer_kwargs: Arguments to be passed directly to the minimizer
         :type minimizer_kwargs: dict
         :param kwargs: Additional arguments for the fitting function.
         :return: Fit results
-        :rtype: ModelResult For standard least squares, the weights
-            should be 1/sigma, where sigma is the standard deviation of
-            the measurement. For unweighted least squares, these should
-            be 1.
+        :rtype: ModelResult
+
+        For standard least squares, the weights should be 1/sigma, where
+        sigma is the standard deviation of the measurement. For
+        unweighted least squares, these should be 1.
+
         """
         x, y, weights = np.asarray(x), np.asarray(y), np.asarray(weights)
 
@@ -162,9 +165,7 @@ def fit(
             raise FitError(e)
         return results
 
-    def _get_fit_kws(
-        self, method: str, tolerance: float, minimizer_kwargs: dict[str:str]
-    ) -> dict[str:str]:
+    def _get_fit_kws(self, method: str, tolerance: float, minimizer_kwargs: dict[str:str]) -> dict[str:str]:
         if minimizer_kwargs is None:
             minimizer_kwargs = {}
         if tolerance is not None:
@@ -175,25 +176,22 @@ def _get_fit_kws(
         return minimizer_kwargs
 
     def convert_to_pars_obj(self, parameters: Optional[List[Parameter]] = None) -> LMParameters:
-        """Create an lmfit compatible container with the `Parameters`
-        converted from the base object.
+        """
+        Create an lmfit compatible container with the `Parameters` converted from the base object.
 
-        :param parameters: If only a single/selection of parameter is
-            required. Specify as a list
+        :param parameters: If only a single/selection of parameter is required. Specify as a list
         :return: lmfit Parameters compatible object
         """
         if parameters is None:
             # Assume that we have a ObjBase for which we can obtain a list
             parameters = self._object.get_fit_parameters()
-        lm_parameters = LMParameters().add_many([
-            self.convert_to_par_object(parameter) for parameter in parameters
-        ])
+        lm_parameters = LMParameters().add_many([self.convert_to_par_object(parameter) for parameter in parameters])
         return lm_parameters
 
     @staticmethod
     def convert_to_par_object(parameter: Parameter) -> LMParameter:
-        """Convert an EasyScience Parameter object to a lmfit Parameter
-        object.
+        """
+        Convert an EasyScience Parameter object to a lmfit Parameter object.
 
         :return: lmfit Parameter compatible object.
         :rtype: LMParameter
@@ -211,8 +209,8 @@ def convert_to_par_object(parameter: Parameter) -> LMParameter:
         )
 
     def _make_model(self, pars: Optional[LMParameters] = None) -> LMModel:
-        """Generate a lmfit model from the supplied `fit_function` and
-        parameters in the base object.
+        """
+        Generate a lmfit model from the supplied `fit_function` and parameters in the base object.
 
         :return: Callable lmfit model
         :rtype: LMModel
@@ -249,8 +247,8 @@ def _make_model(self, pars: Optional[LMParameters] = None) -> LMModel:
         return model
 
     def _set_parameter_fit_result(self, fit_result: ModelResult, stack_status: bool):
-        """Update parameters to their final values and assign a std
-        error to them.
+        """
+        Update parameters to their final values and assign a std error to them.
 
         :param fit_result: Fit object which contains info on the fit
         :return: None
diff --git a/src/easyscience/fitting/minimizers/utils.py b/src/easyscience/fitting/minimizers/utils.py
index 76449a17..60ab00a6 100644
--- a/src/easyscience/fitting/minimizers/utils.py
+++ b/src/easyscience/fitting/minimizers/utils.py
@@ -1,12 +1,9 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 import numpy as np
 
 
 class FitResults:
-    """At the moment this is just a dummy way of unifying the returned
-    fit parameters.
+    """
+    At the moment this is just a dummy way of unifying the returned fit parameters.
     """
 
     __slots__ = [
diff --git a/src/easyscience/fitting/multi_fitter.py b/src/easyscience/fitting/multi_fitter.py
index 94e715c6..a30bdcec 100644
--- a/src/easyscience/fitting/multi_fitter.py
+++ b/src/easyscience/fitting/multi_fitter.py
@@ -1,6 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 from typing import Callable
 from typing import List
 from typing import Optional
@@ -13,10 +13,8 @@
 
 
 class MultiFitter(Fitter):
-    """Extension of Fitter to enable multiple dataset/fit function
-    fitting.
-
-    We can fit these types of data simultaneously:
+    """
+    Extension of Fitter to enable multiple dataset/fit function fitting. We can fit these types of data simultaneously:
     - Multiple models on multiple datasets.
     """
 
@@ -33,10 +31,9 @@ def __init__(
         super().__init__(self._fit_objects, self._fit_functions[0])
 
     def _fit_function_wrapper(self, real_x=None, flatten: bool = True) -> Callable:
-        """Simple fit function which injects the N real X (independent)
-        values into the optimizer function.
-
-        This will also flatten the results if needed.
+        """
+        Simple fit function which injects the N real X (independent) values into the
+        optimizer function. This will also flatten the results if needed.
         :param real_x: List of independent x parameters to be injected
         :param flatten: Should the result be a flat 1D array?
         :return: Wrapped optimizer function.
@@ -68,9 +65,8 @@ def _precompute_reshaping(
         weights: Optional[List[np.ndarray]],
         vectorized: bool,
     ):
-        """Convert an array of X's and Y's  to an acceptable shape for
-        fitting.
-
+        """
+        Convert an array of X's and Y's  to an acceptable shape for fitting.
         :param x: List of independent variables.
         :param y: List of dependent variables.
         :param vectorized: Is the fn input vectorized or point based?
@@ -79,17 +75,13 @@ def _precompute_reshaping(
         """
         if weights is None:
             weights = [None] * len(x)
-        _, _x_new, _y_new, _weights, _dims = Fitter._precompute_reshaping(
-            x[0], y[0], weights[0], vectorized
-        )
+        _, _x_new, _y_new, _weights, _dims = Fitter._precompute_reshaping(x[0], y[0], weights[0], vectorized)
         x_new = [_x_new]
         y_new = [_y_new]
         w_new = [_weights]
         dims = [_dims]
         for _x, _y, _w in zip(x[1::], y[1::], weights[1::]):
-            _, _x_new, _y_new, _weights, _dims = Fitter._precompute_reshaping(
-                _x, _y, _w, vectorized
-            )
+            _, _x_new, _y_new, _weights, _dims = Fitter._precompute_reshaping(_x, _y, _w, vectorized)
             x_new.append(_x_new)
             y_new.append(_y_new)
             w_new.append(_weights)
@@ -108,10 +100,12 @@ def _post_compute_reshaping(
         x: List[np.ndarray],
         y: List[np.ndarray],
     ) -> List[FitResults]:
-        """Take a fit results object and split it into n chuncks based
-        on the size of the x, y inputs :param fit_result_obj: Result
-        from a multifit :param x: List of X co-ords :param y: List of Y
-        co-ords :return: List of fit results.
+        """
+        Take a fit results object and split it into n chuncks based on the size of the x, y inputs
+        :param fit_result_obj: Result from a multifit
+        :param x: List of X co-ords
+        :param y: List of Y co-ords
+        :return: List of fit results
         """
 
         cls = fit_result_obj.__class__
@@ -129,12 +123,8 @@ def _post_compute_reshaping(
             current_results.p0 = fit_result_obj.p0
             current_results.x = this_x
             current_results.y_obs = y[idx]
-            current_results.y_calc = np.reshape(
-                fit_result_obj.y_calc[sp:ep], current_results.y_obs.shape
-            )
-            current_results.y_err = np.reshape(
-                fit_result_obj.y_err[sp:ep], current_results.y_obs.shape
-            )
+            current_results.y_calc = np.reshape(fit_result_obj.y_calc[sp:ep], current_results.y_obs.shape)
+            current_results.y_err = np.reshape(fit_result_obj.y_err[sp:ep], current_results.y_obs.shape)
             current_results.engine_result = fit_result_obj.engine_result
 
             # Attach an additional field for the un-modified results
diff --git a/src/easyscience/global_object/__init__.py b/src/easyscience/global_object/__init__.py
index c0934dde..2adc1bc2 100644
--- a/src/easyscience/global_object/__init__.py
+++ b/src/easyscience/global_object/__init__.py
@@ -1,6 +1,3 @@
-# SPDX-FileCopyrightText: 2024 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from .global_object import GlobalObject  # noqa: F401
 from .hugger.hugger import ScriptManager  # noqa: F401
 from .logger import Logger  # noqa: F401
diff --git a/src/easyscience/global_object/global_object.py b/src/easyscience/global_object/global_object.py
index dbaa994d..63726d01 100644
--- a/src/easyscience/global_object/global_object.py
+++ b/src/easyscience/global_object/global_object.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from ..utils.classUtils import singleton
 from .hugger.hugger import ScriptManager
@@ -9,9 +10,8 @@
 
 @singleton
 class GlobalObject:
-    """GlobalObject is the assimilated knowledge of `EasyScience`.
-
-    Every class based on `EasyScience` gets brought
+    """
+    GlobalObject is the assimilated knowledge of `EasyScience`. Every class based on `EasyScience` gets brought
     into the collective.
     """
 
@@ -33,8 +33,9 @@ def __init__(self):
         self.map: Map = self.__map
 
     def instantiate_stack(self):
-        """The undo/redo stack references the collective. Hence it has
-        to be imported after initialization.
+        """
+        The undo/redo stack references the collective. Hence it has to be imported
+        after initialization.
 
         :return: None
         :rtype: noneType
@@ -44,15 +45,13 @@ def instantiate_stack(self):
         self.stack = UndoStack()
 
     def generate_unique_name(self, name_prefix: str) -> str:
-        """Generate a generic unique name for the object using the class
-        name and a global iterator. Names are in the format
-        `name_prefix_0`, `name_prefix_1`, `name_prefix_2`, etc.
+        """
+        Generate a generic unique name for the object using the class name and a global iterator.
+        Names are in the format `name_prefix_0`, `name_prefix_1`, `name_prefix_2`, etc.
 
         :param name_prefix: The prefix to be used for the name
         """
-        names_with_prefix = [
-            name for name in self.map.vertices() if name.startswith(name_prefix + '_')
-        ]
+        names_with_prefix = [name for name in self.map.vertices() if name.startswith(name_prefix + '_')]
         if names_with_prefix:
             name_with_prefix_count = [0]
             for name in names_with_prefix:
diff --git a/src/easyscience/global_object/hugger/__init__.py b/src/easyscience/global_object/hugger/__init__.py
index b1990ec8..867a21c4 100644
--- a/src/easyscience/global_object/hugger/__init__.py
+++ b/src/easyscience/global_object/hugger/__init__.py
@@ -1,3 +1,4 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
diff --git a/src/easyscience/global_object/hugger/hugger.py b/src/easyscience/global_object/hugger/hugger.py
index 42bf4497..193482c8 100644
--- a/src/easyscience/global_object/hugger/hugger.py
+++ b/src/easyscience/global_object/hugger/hugger.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import inspect
 import sys
@@ -93,12 +94,9 @@ def is_mutable(arg) -> bool:
     @staticmethod
     def _caller_name(skip: int = 2):
         """Get a name of a caller in the format module.class.method
-        `skip` specifies how many levels of stack to skip while getting
-        caller name.
-
-        skip=1 means "who calls me", skip=2 "who calls my caller" etc.
-        An empty string is returned if skipped levels exceed stack
-        height
+        `skip` specifies how many levels of stack to skip while getting caller
+        name. skip=1 means "who calls me", skip=2 "who calls my caller" etc.
+        An empty string is returned if skipped levels exceed stack height
         https://gist.github.com/techtonik/2151727#gistcomment-2333747
         """
 
diff --git a/src/easyscience/global_object/hugger/property.py b/src/easyscience/global_object/hugger/property.py
index 2367d1fb..a18f913b 100644
--- a/src/easyscience/global_object/hugger/property.py
+++ b/src/easyscience/global_object/hugger/property.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import sys
 from functools import wraps
@@ -14,9 +15,8 @@
 
 
 class LoggedProperty(property):
-    """Pump up python properties.
-
-    In this case we can see who has called this property and
+    """
+    Pump up python properties. In this case we can see who has called this property and
     then do something if a criteria is met. In this case if the caller is not a member of
     the `ObjBase` class. Note that all high level `EasyScience` objects should be built from
     `ObjBase`.
@@ -81,9 +81,7 @@ def __set__(self, instance, value):
         if not test and self._get_id is not None and self._my_self is not None:
             Store().append_log(self.makeEntry('set', value))
             if global_object.debug:  # noqa: S1006
-                print(
-                    f"I'm {self._my_self} and {self._get_id} has been set to {value} from the outside!"
-                )
+                print(f"I'm {self._my_self} and {self._get_id} has been set to {value} from the outside!")
         return super().__set__(instance, value)
 
     def makeEntry(self, log_type, returns, *args, **kwargs) -> str:
@@ -176,9 +174,7 @@ def patch_get(self, func: Callable) -> Callable:
         @wraps(func)
         def inner(*args, **kwargs):
             if global_object.debug:
-                print(
-                    f'{self.klass.__name__}.{self.prop_name} has been called with {args[1:]}, {kwargs}'
-                )
+                print(f'{self.klass.__name__}.{self.prop_name} has been called with {args[1:]}, {kwargs}')
             res = func(*args, **kwargs)
             self._append_args(*args, **kwargs)
             self._append_result(res)
@@ -191,9 +187,7 @@ def patch_set(self, func: Callable) -> Callable:
         @wraps(func)
         def inner(*args, **kwargs):
             if global_object.debug:
-                print(
-                    f'{self.klass.__name__}.{self.prop_name} has been set with {args[1:]}, {kwargs}'
-                )
+                print(f'{self.klass.__name__}.{self.prop_name} has been set with {args[1:]}, {kwargs}')
             self._append_args(*args, **kwargs)
             self._append_log(self.makeEntry('set', None, *args, **kwargs))
             return func(*args, **kwargs)
diff --git a/src/easyscience/global_object/logger.py b/src/easyscience/global_object/logger.py
index 0400d524..f4fa3a42 100644
--- a/src/easyscience/global_object/logger.py
+++ b/src/easyscience/global_object/logger.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import logging
 
@@ -11,11 +12,11 @@ def __init__(self, log_level: int = logging.INFO):
         self.logger.setLevel(self.level)
 
     def getLogger(self, logger_name, color: str = '32', defaults: bool = True) -> logging:
-        """Create a logger :param color:
-
+        """
+        Create a logger
+        :param color:
         :param logger_name: logger name. Usually __name__ on creation
-        :param defaults: Do you want to associate any current file
-            loggers with this logger
+        :param defaults: Do you want to associate any current file loggers with this logger
         :return: A logger
         """
         logger = logging.getLogger(logger_name)
diff --git a/src/easyscience/global_object/map.py b/src/easyscience/global_object/map.py
index c9172c09..a9d0b576 100644
--- a/src/easyscience/global_object/map.py
+++ b/src/easyscience/global_object/map.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import gc
 import sys
@@ -78,8 +79,7 @@ def _snapshot_items(self):
 
         Some callers iterate over __type_dict while other threads or
         weakref finalizers may modify it. Creating a list snapshot (with
-        a retry loop) prevents RuntimeError: dictionary changed size
-        during iteration.
+        a retry loop) prevents RuntimeError: dictionary changed size during iteration.
         """
         while True:
             try:
@@ -92,8 +92,7 @@ def vertices(self) -> List[str]:
         """Returns the vertices of a map.
 
         Uses a retry loop to handle RuntimeError that can occur when the
-        WeakValueDictionary is modified during iteration (e.g., by
-        garbage collection).
+        WeakValueDictionary is modified during iteration (e.g., by garbage collection).
         """
         while True:
             try:
@@ -103,7 +102,7 @@ def vertices(self) -> List[str]:
                 continue
 
     def edges(self):
-        """Returns the edges of a map."""
+        """returns the edges of a map"""
         return self.__generate_edges()
 
     @property
@@ -187,10 +186,10 @@ def get_edges(self, start_obj) -> List[str]:
             raise AttributeError
 
     def __generate_edges(self) -> list:
-        """A static method generating the edges of the map.
-
-        Edges are represented as sets with one (a loop back to the
-        vertex) or two vertices
+        """A static method generating the edges of the
+        map. Edges are represented as sets
+        with one (a loop back to the vertex) or two
+        vertices
         """
         edges = []
         # Iterate over a snapshot of items and snapshot neighbour lists to
@@ -222,7 +221,7 @@ def prune(self, key: str):
                 del self._store[key]
 
     def find_isolated_vertices(self) -> list:
-        """Returns a list of isolated vertices."""
+        """returns a list of isolated vertices."""
         isolated = []
         for vertex, neighbours in self._snapshot_items():
             if not list(neighbours):
@@ -230,7 +229,8 @@ def find_isolated_vertices(self) -> list:
         return isolated
 
     def find_path(self, start_vertex: str, end_vertex: str, path=[]) -> list:
-        """Find a path from start_vertex to end_vertex in map."""
+        """find a path from start_vertex to end_vertex
+        in map"""
 
         graph = self.__type_dict
         path = path + [start_vertex]
@@ -246,7 +246,8 @@ def find_path(self, start_vertex: str, end_vertex: str, path=[]) -> list:
         return []
 
     def find_all_paths(self, start_vertex: str, end_vertex: str, path=[]) -> list:
-        """Find all paths from start_vertex to end_vertex in map."""
+        """find all paths from start_vertex to
+        end_vertex in map"""
 
         graph = self.__type_dict
         path = path + [start_vertex]
@@ -263,11 +264,9 @@ def find_all_paths(self, start_vertex: str, end_vertex: str, path=[]) -> list:
         return paths
 
     def reverse_route(self, end_vertex: str, start_vertex: Optional[str] = None) -> List:
-        """In this case we have an object and want to know the
-        connections to get to another in reverse.
-
-        We might not know the start_object. In which case we follow the
-        shortest path to a base vertex.
+        """
+        In this case we have an object and want to know the connections to get to another in reverse.
+        We might not know the start_object. In which case we follow the shortest path to a base vertex.
         :param end_obj:
         :type end_obj:
         :param start_obj:
@@ -292,7 +291,7 @@ def reverse_route(self, end_vertex: str, start_vertex: Optional[str] = None) ->
         return optimum_path
 
     def is_connected(self, vertices_encountered=None, start_vertex=None) -> bool:
-        """Determines if the map is connected."""
+        """determines if the map is connected"""
         if vertices_encountered is None:
             vertices_encountered = set()
         graph = self.__type_dict
@@ -303,19 +302,14 @@ def is_connected(self, vertices_encountered=None, start_vertex=None) -> bool:
         vertices_encountered.add(start_vertex)
         if len(vertices_encountered) != len(vertices):
             for vertex in list(graph[start_vertex]):
-                if vertex not in vertices_encountered and self.is_connected(
-                    vertices_encountered, vertex
-                ):
+                if vertex not in vertices_encountered and self.is_connected(vertices_encountered, vertex):
                     return True
         else:
             return True
         return False
 
     def _clear(self):
-        """Reset the map to an empty state.
-
-        Only to be used for testing
-        """
+        """Reset the map to an empty state. Only to be used for testing"""
         self._store.clear()
         self.__type_dict.clear()
         gc.collect()
diff --git a/src/easyscience/global_object/undo_redo.py b/src/easyscience/global_object/undo_redo.py
index bb1e173c..7317ec23 100644
--- a/src/easyscience/global_object/undo_redo.py
+++ b/src/easyscience/global_object/undo_redo.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import abc
 import functools
@@ -18,7 +19,9 @@
 
 
 class UndoCommand(metaclass=abc.ABCMeta):
-    """The Command interface pattern."""
+    """
+    The Command interface pattern
+    """
 
     def __init__(self, obj) -> None:
         self._obj = obj
@@ -26,11 +29,15 @@ def __init__(self, obj) -> None:
 
     @abc.abstractmethod
     def undo(self) -> NoReturn:
-        """Undo implementation which should be overwritten."""
+        """
+        Undo implementation which should be overwritten
+        """
 
     @abc.abstractmethod
     def redo(self) -> NoReturn:
-        """Redo implementation which should be overwritten."""
+        """
+        Redo implementation which should be overwritten
+        """
 
     @property
     def text(self) -> str:
@@ -61,9 +68,8 @@ def inner(obj, *args, **kwargs):
 
 
 class NotarizedDict(UserDict):
-    """A simple dict drop in for EasyScience group classes.
-
-    This is used as it wraps the get/set methods
+    """
+    A simple dict drop in for EasyScience group classes. This is used as it wraps the get/set methods
     """
 
     def __init__(self, **kwargs):
@@ -95,8 +101,8 @@ def reorder(self, **kwargs):
 
 
 class CommandHolder:
-    """A holder for one or more commands which are added to the
-    stack.
+    """
+    A holder for one or more commands which are added to the stack
     """
 
     def __init__(self, text: str = None):
@@ -143,7 +149,9 @@ def text(self, text: str):
 
 
 class UndoStack:
-    """Implement a version of QUndoStack without the QT."""
+    """
+    Implement a version of QUndoStack without the QT
+    """
 
     def __init__(self, max_history: Union[int, type(None)] = None):
         self._history = deque(maxlen=max_history)
@@ -175,7 +183,9 @@ def future(self) -> deque:
         return self._future
 
     def push(self, command: T_) -> NoReturn:
-        """Add a command to the history stack."""
+        """
+        Add a command to the history stack
+        """
         # If we're not enabled, then what are we doing!
         if not self.enabled or self._command_running:
             # Do the command and leave.
@@ -210,13 +220,17 @@ def pop(self) -> T_:
         return popped
 
     def clear(self) -> None:  # NoReturn:
-        """Remove any commands on the stack and reset the state."""
+        """
+        Remove any commands on the stack and reset the state
+        """
         self._history = deque(maxlen=self._max_history)
         self._future = deque(maxlen=self._max_history)
         self._macro_running = False
 
     def undo(self) -> NoReturn:
-        """Undo the last change to the stack."""
+        """
+        Undo the last change to the stack
+        """
         if self.canUndo():
             # Move the command from the past to the future
             this_command_stack = self._history.popleft()
@@ -233,7 +247,9 @@ def undo(self) -> NoReturn:
                     self._command_running = False
 
     def redo(self) -> NoReturn:
-        """Redo the last `undo` command on the stack."""
+        """
+        Redo the last `undo` command on the stack
+        """
         if self.canRedo():
             # Move from the future to the past
             this_command_stack = self._future.popleft()
@@ -251,8 +267,8 @@ def redo(self) -> NoReturn:
                     self._command_running = False
 
     def beginMacro(self, text: str) -> NoReturn:
-        """Start a bulk update i.e. multiple commands under one
-        undo/redo command.
+        """
+        Start a bulk update i.e. multiple commands under one undo/redo command
         """
         if self._macro_running:
             raise AssertionError('Cannot start a macro when one is already running')
@@ -261,30 +277,38 @@ def beginMacro(self, text: str) -> NoReturn:
         self._macro_running = True
 
     def endMacro(self) -> NoReturn:
-        """End a bulk update i.e. multiple commands under one undo/redo
-        command.
+        """
+        End a bulk update i.e. multiple commands under one undo/redo command
         """
         if not self._macro_running:
             raise AssertionError('Cannot end a macro when one is not running')
         self._macro_running = False
 
     def canUndo(self) -> bool:
-        """Can the last command be undone?"""
+        """
+        Can the last command be undone?
+        """
         return len(self._history) > 0 and not self._macro_running
 
     def canRedo(self) -> bool:
-        """Can we redo a command?"""
+        """
+        Can we redo a command?
+        """
         return len(self._future) > 0 and not self._macro_running
 
     def redoText(self) -> str:
-        """Text associated with a redo item."""
+        """
+        Text associated with a redo item.
+        """
         text = ''
         if self.canRedo():
             text = self.future[0].text
         return text
 
     def undoText(self) -> str:
-        """Text associated with a undo item."""
+        """
+        Text associated with a undo item.
+        """
         text = ''
         if self.canUndo():
             text = self.history[0].text
@@ -292,7 +316,9 @@ def undoText(self) -> str:
 
 
 class PropertyStack(UndoCommand):
-    """Stack operator for when a property setter is wrapped."""
+    """
+    Stack operator for when a property setter is wrapped.
+    """
 
     def __init__(self, parent, func: Callable, old_value: Any, new_value: Any, text: str = None):
         # self.setText("Setting {} to {}".format(func.__name__, new_value))
diff --git a/src/easyscience/io/__init__.py b/src/easyscience/io/__init__.py
index 6a53db96..b21e648c 100644
--- a/src/easyscience/io/__init__.py
+++ b/src/easyscience/io/__init__.py
@@ -1,6 +1,6 @@
-# SPDX-FileCopyrightText: 2025 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 from .serializer_base import SerializerBase
 from .serializer_component import SerializerComponent
 from .serializer_dict import SerializerDict
diff --git a/src/easyscience/io/serializer_base.py b/src/easyscience/io/serializer_base.py
index 8bcf987a..b4eeaf2a 100644
--- a/src/easyscience/io/serializer_base.py
+++ b/src/easyscience/io/serializer_base.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from __future__ import annotations
 
@@ -27,25 +28,21 @@
 
 
 class SerializerBase:
-    """This is the base class for creating an encoder/decoder which can
-    convert EasyScience objects.
-
-    `encode` and `decode` are
+    """
+    This is the base class for creating an encoder/decoder which can convert EasyScience objects. `encode` and `decode` are
     abstract methods to be implemented for each serializer. It is expected that the helper function `_convert_to_dict`
     will be used as a base for encoding (or the `SerializerDict` as it's more flexible).
     """
 
     @abstractmethod
     def encode(self, obj: SerializerComponent, skip: Optional[List[str]] = None, **kwargs) -> any:
-        """Abstract implementation of an encoder.
+        """
+        Abstract implementation of an encoder.
 
         :param obj: Object to be encoded.
-        :param skip: List of field names as strings to skip when forming
-            the encoded object
-        :param kwargs: Any additional key word arguments to be passed to
-            the encoder
-        :return: encoded object containing all information to reform an
-            EasyScience object.
+        :param skip: List of field names as strings to skip when forming the encoded object
+        :param kwargs: Any additional key word arguments to be passed to the encoder
+        :return: encoded object containing all information to reform an EasyScience object.
         """
 
         pass
@@ -53,8 +50,8 @@ def encode(self, obj: SerializerComponent, skip: Optional[List[str]] = None, **k
     @classmethod
     @abstractmethod
     def decode(cls, obj: Any) -> Any:
-        """Re-create an EasyScience object from the output of an
-        encoder. The default decoder is `SerializerDict`.
+        """
+        Re-create an EasyScience object from the output of an encoder. The default decoder is `SerializerDict`.
 
         :param obj: encoded EasyScience object
         :return: Reformed EasyScience object
@@ -63,8 +60,8 @@ def decode(cls, obj: Any) -> Any:
 
     @staticmethod
     def get_arg_spec(func: Callable) -> Tuple[Any, List[str]]:
-        """Get the full argument specification of a function (typically
-        `__init__`)
+        """
+        Get the full argument specification of a function (typically `__init__`)
 
         :param func: Function to be inspected
         :return: Tuple of argument spec and arguments
@@ -76,7 +73,8 @@ def get_arg_spec(func: Callable) -> Tuple[Any, List[str]]:
 
     @staticmethod
     def _encode_objs(obj: Any) -> Dict[str, Any]:
-        """A JSON serializable dict representation of an object.
+        """
+        A JSON serializable dict representation of an object.
 
         :param obj: any object to be encoded
         :param skip: List of field names as strings to skip when forming the encoded object
@@ -119,7 +117,9 @@ def _convert_to_dict(
         full_encode: bool = False,
         **kwargs,
     ) -> dict:
-        """A JSON serializable dict representation of an object."""
+        """
+        A JSON serializable dict representation of an object.
+        """
         if skip is None:
             skip = []
 
@@ -189,9 +189,7 @@ def runner(o):
                                     'determine the dict format. Alternatively, '
                                     'you can implement both as_dict and from_dict.'
                                 )
-                d[c] = self._recursive_encoder(
-                    a, skip=skip, encoder=self, full_encode=full_encode, **kwargs
-                )
+                d[c] = self._recursive_encoder(a, skip=skip, encoder=self, full_encode=full_encode, **kwargs)
         if spec.varargs is not None and getattr(obj, spec.varargs, None) is not None:
             d.update({spec.varargs: getattr(obj, spec.varargs)})
         if hasattr(obj, '_kwargs'):
@@ -225,11 +223,12 @@ def runner(o):
 
     @staticmethod
     def _convert_from_dict(d):
-        """Recursive method to support decoding dicts and lists
-        containing EasyScience objects.
+        """
+        Recursive method to support decoding dicts and lists containing EasyScience objects
 
         :param d: Dictionary containing JSONed EasyScience objects
         :return: Reformed EasyScience object
+
         """
         T_ = type(d)
         if isinstance(d, dict):
@@ -250,11 +249,7 @@ def _convert_from_dict(d):
                 mod = __import__(modname, globals(), locals(), [classname], 0)
                 if hasattr(mod, classname):
                     cls_ = getattr(mod, classname)
-                    data = {
-                        k: SerializerBase._convert_from_dict(v)
-                        for k, v in d.items()
-                        if not k.startswith('@')
-                    }
+                    data = {k: SerializerBase._convert_from_dict(v) for k, v in d.items() if not k.startswith('@')}
                     return cls_(**data)
             elif np is not None and modname == 'numpy' and classname == 'array':
                 if d['dtype'].startswith('complex'):
@@ -267,24 +262,20 @@ def _convert_from_dict(d):
 
     @staticmethod
     def deserialize_dict(in_dict: Dict[str, Any]) -> Dict[str, Any]:
-        """Deserialize a dictionary using from_dict for ES objects and
-        SerializerBase otherwise. This method processes constructor
-        arguments, skipping metadata keys starting with '@'.
+        """
+        Deserialize a dictionary using from_dict for ES objects and SerializerBase otherwise.
+        This method processes constructor arguments, skipping metadata keys starting with '@'.
 
         :param in_dict: dictionary to deserialize
         :return: deserialized dictionary with constructor arguments
         """
-        d = {
-            key: SerializerBase._deserialize_value(value)
-            for key, value in in_dict.items()
-            if not key.startswith('@')
-        }
+        d = {key: SerializerBase._deserialize_value(value) for key, value in in_dict.items() if not key.startswith('@')}
         return d
 
     @staticmethod
     def _deserialize_value(value: Any) -> Any:
-        """Deserialize a single value, using specialized handling for ES
-        objects.
+        """
+        Deserialize a single value, using specialized handling for ES objects.
 
         :param value:
         :return: deserialized value
@@ -310,21 +301,18 @@ def _deserialize_value(value: Any) -> Any:
 
     @staticmethod
     def _is_serialized_easyscience_object(value: Any) -> bool:
-        """Check if a value represents a serialized ES object.
+        """
+        Check if a value represents a serialized ES object.
 
         :param value:
         :return: True if this is a serialized ES object
         """
-        return (
-            isinstance(value, dict)
-            and '@module' in value
-            and value['@module'].startswith('easy')
-            and '@class' in value
-        )
+        return isinstance(value, dict) and '@module' in value and value['@module'].startswith('easy') and '@class' in value
 
     @staticmethod
     def _import_class(module_name: str, class_name: str):
-        """Import a class from a module name and class name.
+        """
+        Import a class from a module name and class name.
 
         :param module_name: name of the module
         :param class_name: name of the class
@@ -342,33 +330,24 @@ def _import_class(module_name: str, class_name: str):
 
         return getattr(module, class_name)
 
-    def _recursive_encoder(
-        self, obj, skip: List[str] = [], encoder=None, full_encode=False, **kwargs
-    ):
-        """Walk through an object encoding it."""
+    def _recursive_encoder(self, obj, skip: List[str] = [], encoder=None, full_encode=False, **kwargs):
+        """
+        Walk through an object encoding it
+        """
         if encoder is None:
             encoder = SerializerBase()
         T_ = type(obj)
         if issubclass(T_, (list, tuple, MutableSequence)):
             # Is it a core MutableSequence?
-            if (
-                hasattr(obj, 'encode') and obj.__class__.__module__ != 'builtins'
-            ):  # strings have encode
+            if hasattr(obj, 'encode') and obj.__class__.__module__ != 'builtins':  # strings have encode
                 return encoder._convert_to_dict(obj, skip, full_encode, **kwargs)
             elif hasattr(obj, 'to_dict') and obj.__class__.__module__.startswith('easy'):
                 return encoder._convert_to_dict(obj, skip, full_encode, **kwargs)
             else:
-                return [
-                    self._recursive_encoder(it, skip, encoder, full_encode, **kwargs) for it in obj
-                ]
+                return [self._recursive_encoder(it, skip, encoder, full_encode, **kwargs) for it in obj]
         if isinstance(obj, dict):
-            return {
-                kk: self._recursive_encoder(vv, skip, encoder, full_encode, **kwargs)
-                for kk, vv in obj.items()
-            }
-        if (
-            hasattr(obj, 'encode') and obj.__class__.__module__ != 'builtins'
-        ):  # strings have encode
+            return {kk: self._recursive_encoder(vv, skip, encoder, full_encode, **kwargs) for kk, vv in obj.items()}
+        if hasattr(obj, 'encode') and obj.__class__.__module__ != 'builtins':  # strings have encode
             return encoder._convert_to_dict(obj, skip, full_encode, **kwargs)
         elif hasattr(obj, 'to_dict') and obj.__class__.__module__.startswith('easy'):
             return encoder._convert_to_dict(obj, skip, full_encode, **kwargs)
diff --git a/src/easyscience/io/serializer_component.py b/src/easyscience/io/serializer_component.py
index 02938a29..85da9961 100644
--- a/src/easyscience/io/serializer_component.py
+++ b/src/easyscience/io/serializer_component.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2025 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from __future__ import annotations
 
@@ -16,10 +17,10 @@
 
 
 class SerializerComponent:
-    """This base class adds the capability of saving and loading
-    (encoding/decoding, serializing/deserializing) easyscience objects
-    via the `encode` and `decode` methods. The default encoder is
-    `SerializerDict`, which converts the object to a dictionary.
+    """
+    This base class adds the capability of saving and loading (encoding/decoding, serializing/deserializing) easyscience
+    objects via the `encode` and `decode` methods.
+    The default encoder is `SerializerDict`, which converts the object to a dictionary.
 
     Shortcuts for dictionary and encoding is also present.
     """
@@ -27,11 +28,9 @@ class SerializerComponent:
     def __deepcopy__(self, memo):
         return self.from_dict(self.as_dict())
 
-    def encode(
-        self, skip: Optional[List[str]] = None, encoder: Optional[SerializerBase] = None, **kwargs
-    ) -> Any:
-        """Use an encoder to covert an EasyScience object into another
-        format. Default is to a dictionary using `SerializerDict`.
+    def encode(self, skip: Optional[List[str]] = None, encoder: Optional[SerializerBase] = None, **kwargs) -> Any:
+        """
+        Use an encoder to covert an EasyScience object into another format. Default is to a dictionary using `SerializerDict`.
 
         :param skip: List of field names as strings to skip when forming the encoded object
         :param encoder: The encoder to be used for encoding the data. Default is `SerializerDict`
@@ -45,12 +44,11 @@ def encode(
 
     @classmethod
     def decode(cls, obj: Any, decoder: Optional[SerializerBase] = None) -> Any:
-        """Re-create an EasyScience object from the output of an
-        encoder. The default decoder is `SerializerDict`.
+        """
+        Re-create an EasyScience object from the output of an encoder. The default decoder is `SerializerDict`.
 
         :param obj: encoded EasyScience object
-        :param decoder: decoder to be used to reform the EasyScience
-            object
+        :param decoder: decoder to be used to reform the EasyScience object
         :return: Reformed EasyScience object
         """
 
@@ -59,22 +57,20 @@ def decode(cls, obj: Any, decoder: Optional[SerializerBase] = None) -> Any:
         return decoder.decode(obj)
 
     def as_dict(self, skip: Optional[List[str]] = None) -> Dict[str, Any]:
-        """Convert an EasyScience object into a full dictionary using
-        `SerializerDict`. This is a shortcut for
-        ```obj.encode(encoder=SerializerDict)```
-
-        :param skip: List of field names as strings to skip when forming
-            the dictionary
-        :return: encoded object containing all information to reform an
-            EasyScience object.
+        """
+        Convert an EasyScience object into a full dictionary using `SerializerDict`.
+        This is a shortcut for ```obj.encode(encoder=SerializerDict)```
+
+        :param skip: List of field names as strings to skip when forming the dictionary
+        :return: encoded object containing all information to reform an EasyScience object.
         """
 
         return self.encode(skip=skip, encoder=SerializerDict)
 
     @classmethod
     def from_dict(cls, obj_dict: Dict[str, Any]) -> None:
-        """Re-create an EasyScience object from a full encoded
-        dictionary.
+        """
+        Re-create an EasyScience object from a full encoded dictionary.
 
         :param obj_dict: dictionary containing the serialized contents (from `SerializerDict`) of an EasyScience object
         :return: Reformed EasyScience object
diff --git a/src/easyscience/io/serializer_dict.py b/src/easyscience/io/serializer_dict.py
index 8dc73a63..8fe423c1 100644
--- a/src/easyscience/io/serializer_dict.py
+++ b/src/easyscience/io/serializer_dict.py
@@ -1,10 +1,10 @@
-# SPDX-FileCopyrightText: 2025 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
 __author__ = 'https://github.com/materialsvirtuallab/monty/blob/master/monty/json.py'
 __version__ = '3.0.0'
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 
 from typing import TYPE_CHECKING
@@ -19,8 +19,8 @@
 
 
 class SerializerDict(SerializerBase):
-    """This is a serializer that can encode and decode EasyScience
-    objects to and from a dictionary.
+    """
+    This is a serializer that can encode and decode EasyScience objects to and from a dictionary.
     """
 
     def encode(
@@ -30,25 +30,22 @@ def encode(
         full_encode: bool = False,
         **kwargs,
     ):
-        """Convert an EasyScience object to a dictionary.
+        """
+        Convert an EasyScience object to a dictionary.
 
         :param obj: Object to be encoded.
-        :param skip: List of field names as strings to skip when forming
-            the encoded object
-        :param full_encode: Should the data also be encoded (default
-            False)
-        :param kwargs: Any additional key word arguments to be passed to
-            the encoder
-        :return: object encoded to dictionary containing all information
-            to reform an EasyScience object.
+        :param skip: List of field names as strings to skip when forming the encoded object
+        :param full_encode: Should the data also be encoded (default False)
+        :param kwargs: Any additional key word arguments to be passed to the encoder
+        :return: object encoded to dictionary containing all information to reform an EasyScience object.
         """
 
         return self._convert_to_dict(obj, skip=skip, full_encode=full_encode, **kwargs)
 
     @classmethod
     def decode(cls, d: Dict) -> SerializerComponent:
-        """Re-create an EasyScience object from the dictionary
-        representation.
+        """
+        Re-create an EasyScience object from the dictionary representation.
 
         :param d: Dict representation of an EasyScience object.
         :return: EasyScience object.
diff --git a/src/easyscience/job/__init__.py b/src/easyscience/job/__init__.py
index 73852c24..5a1770f5 100644
--- a/src/easyscience/job/__init__.py
+++ b/src/easyscience/job/__init__.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from .analysis import AnalysisBase  # noqa: F401
 from .experiment import ExperimentBase  # noqa: F401
diff --git a/src/easyscience/job/analysis.py b/src/easyscience/job/analysis.py
index 448f1c3c..d380272a 100644
--- a/src/easyscience/job/analysis.py
+++ b/src/easyscience/job/analysis.py
@@ -1,6 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 from abc import ABCMeta
 from abc import abstractmethod
 
@@ -11,8 +11,8 @@
 
 
 class AnalysisBase(ObjBase, metaclass=ABCMeta):
-    """This virtual class allows for the creation of technique-specific
-    Analysis objects.
+    """
+    This virtual class allows for the creation of technique-specific Analysis objects.
     """
 
     def __init__(self, name: str, interface=None, *args, **kwargs):
diff --git a/src/easyscience/job/experiment.py b/src/easyscience/job/experiment.py
index 0f9577c3..cc356614 100644
--- a/src/easyscience/job/experiment.py
+++ b/src/easyscience/job/experiment.py
@@ -1,12 +1,14 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
+
 
 from ..base_classes.obj_base import ObjBase
 
 
 class ExperimentBase(ObjBase):
-    """This virtual class allows for the creation of technique-specific
-    Experiment objects.
+    """
+    This virtual class allows for the creation of technique-specific Experiment objects.
     """
 
     def __init__(self, name: str, *args, **kwargs):
diff --git a/src/easyscience/job/job.py b/src/easyscience/job/job.py
index b48cbb1d..0a1df5e9 100644
--- a/src/easyscience/job/job.py
+++ b/src/easyscience/job/job.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from abc import ABCMeta
 from abc import abstractmethod
@@ -11,8 +12,8 @@
 
 
 class JobBase(ObjBase, metaclass=ABCMeta):
-    """This virtual class allows for the creation of technique-specific
-    Job objects.
+    """
+    This virtual class allows for the creation of technique-specific Job objects.
     """
 
     def __init__(self, name: str, *args, **kwargs):
diff --git a/src/easyscience/job/theoreticalmodel.py b/src/easyscience/job/theoreticalmodel.py
index 609f889e..ac0fd432 100644
--- a/src/easyscience/job/theoreticalmodel.py
+++ b/src/easyscience/job/theoreticalmodel.py
@@ -1,12 +1,14 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
+
 
 from ..base_classes.obj_base import ObjBase
 
 
 class TheoreticalModelBase(ObjBase):
-    """This virtual class allows for the creation of technique-specific
-    Theory objects.
+    """
+    This virtual class allows for the creation of technique-specific Theory objects.
     """
 
     def __init__(self, name: str, *args, **kwargs):
diff --git a/src/easyscience/legacy/dict.py b/src/easyscience/legacy/dict.py
index 72c57c1d..9ae29397 100644
--- a/src/easyscience/legacy/dict.py
+++ b/src/easyscience/legacy/dict.py
@@ -1,10 +1,10 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
 __author__ = 'https://github.com/materialsvirtuallab/monty/blob/master/monty/json.py'
 __version__ = '3.0.0'
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 
 from typing import TYPE_CHECKING
@@ -22,8 +22,8 @@
 
 
 class DictSerializer(BaseEncoderDecoder):
-    """This is a serializer that can encode and decode EasyScience
-    objects to a JSON encoded dictionary.
+    """
+    This is a serializer that can encode and decode EasyScience objects to a JSON encoded dictionary.
     """
 
     def encode(
@@ -33,17 +33,14 @@ def encode(
         full_encode: bool = False,
         **kwargs,
     ):
-        """Convert an EasyScience object to a JSON encoded dictionary.
+        """
+        Convert an EasyScience object to a JSON encoded dictionary
 
         :param obj: Object to be encoded.
-        :param skip: List of field names as strings to skip when forming
-            the encoded object
-        :param full_encode: Should the data also be JSON encoded
-            (default False)
-        :param kwargs: Any additional key word arguments to be passed to
-            the encoder
-        :return: object encoded to dictionary containing all information
-            to reform an EasyScience object.
+        :param skip: List of field names as strings to skip when forming the encoded object
+        :param full_encode: Should the data also be JSON encoded (default False)
+        :param kwargs: Any additional key word arguments to be passed to the encoder
+        :return: object encoded to dictionary containing all information to reform an EasyScience object.
         """
 
         return self._convert_to_dict(obj, skip=skip, full_encode=full_encode, **kwargs)
@@ -67,8 +64,8 @@ def from_dict(cls, d: Dict[str, Any]) -> ComponentSerializer:
 
 
 class DataDictSerializer(DictSerializer):
-    """This is a serializer that can encode the data in an EasyScience
-    object to a JSON encoded dictionary.
+    """
+    This is a serializer that can encode the data in an EasyScience object to a JSON encoded dictionary.
     """
 
     def encode(
@@ -78,16 +75,13 @@ def encode(
         full_encode: bool = False,
         **kwargs,
     ) -> Dict[str, Any]:
-        """Convert an EasyScience object to a JSON encoded data
-        dictionary.
+        """
+        Convert an EasyScience object to a JSON encoded data dictionary
 
         :param obj: Object to be encoded.
-        :param skip: List of field names as strings to skip when forming
-            the encoded object
-        :param full_encode: Should the data also be JSON encoded
-            (default False)
-        :param kwargs: Any additional key word arguments to be passed to
-            the encoder
+        :param skip: List of field names as strings to skip when forming the encoded object
+        :param full_encode: Should the data also be JSON encoded (default False)
+        :param kwargs: Any additional key word arguments to be passed to the encoder
         :return: object encoded to data dictionary.
         """
 
@@ -102,18 +96,18 @@ def encode(
 
     @classmethod
     def decode(cls, d: Dict[str, Any]) -> ComponentSerializer:
-        """This function is not implemented as a data dictionary does
-        not contain the necessary information to re-form an EasyScience
-        object.
+        """
+        This function is not implemented as a data dictionary does not contain the necessary information to re-form an
+        EasyScience object.
         """
 
-        raise NotImplementedError(
-            'It is not possible to reconstitute objects from data only dictionary.'
-        )
+        raise NotImplementedError('It is not possible to reconstitute objects from data only dictionary.')
 
     @staticmethod
     def _parse_dict(in_dict: Dict[str, Any]) -> Dict[str, Any]:
-        """Strip out any non-data from a dictionary."""
+        """
+        Strip out any non-data from a dictionary
+        """
 
         out_dict = dict()
         for key in in_dict.keys():
@@ -125,8 +119,5 @@ def _parse_dict(in_dict: Dict[str, Any]) -> Dict[str, Any]:
             if isinstance(in_dict[key], dict):
                 out_dict[key] = DataDictSerializer._parse_dict(in_dict[key])
             elif isinstance(in_dict[key], list):
-                out_dict[key] = [
-                    DataDictSerializer._parse_dict(x) if isinstance(x, dict) else x
-                    for x in in_dict[key]
-                ]
+                out_dict[key] = [DataDictSerializer._parse_dict(x) if isinstance(x, dict) else x for x in in_dict[key]]
         return out_dict
diff --git a/src/easyscience/legacy/json.py b/src/easyscience/legacy/json.py
index 12a151e7..6464e52a 100644
--- a/src/easyscience/legacy/json.py
+++ b/src/easyscience/legacy/json.py
@@ -1,11 +1,12 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
 __author__ = 'https://github.com/materialsvirtuallab/monty/blob/master/monty/json.py'
 __version__ = '3.0.0'
 
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
+
 
 import json
 from typing import TYPE_CHECKING
@@ -19,8 +20,8 @@
 
 class JsonSerializer(BaseEncoderDecoder):
     def encode(self, obj: ComponentSerializer, skip: List[str] = []) -> str:
-        """Returns a json string representation of the
-        ComponentSerializer object.
+        """
+        Returns a json string representation of the ComponentSerializer object.
         """
         ENCODER = type(
             JsonEncoderTemplate.__name__,
@@ -36,8 +37,8 @@ def decode(cls, data: str) -> ComponentSerializer:
 
 class JsonDataSerializer(BaseEncoderDecoder):
     def encode(self, obj: ComponentSerializer, skip: List[str] = []) -> str:
-        """Returns a json string representation of the
-        ComponentSerializer object.
+        """
+        Returns a json string representation of the ComponentSerializer object.
         """
         from .dict import DataDictSerializer
 
@@ -56,15 +57,13 @@ def encode(self, obj: ComponentSerializer, skip: List[str] = []) -> str:
 
     @classmethod
     def decode(cls, data: str) -> ComponentSerializer:
-        raise NotImplementedError(
-            'It is not possible to reconstitute objects from data only objects.'
-        )
+        raise NotImplementedError('It is not possible to reconstitute objects from data only objects.')
 
 
 class JsonEncoderTemplate(json.JSONEncoder):
-    """A Json Encoder which supports the ComponentSerializer API, plus
-    adds support for numpy arrays, datetime objects, bson ObjectIds
-    (requires bson).
+    """
+    A Json Encoder which supports the ComponentSerializer API, plus adds support for
+    numpy arrays, datetime objects, bson ObjectIds (requires bson).
 
     Usage::
 
@@ -93,12 +92,13 @@ def default(self, o) -> dict:  # pylint: disable=E0202
 
 
 class JsonDecoderTemplate(json.JSONDecoder):
-    """A Json Decoder which supports the ComponentSerializer API. By
-    default, the decoder attempts to find a module and name associated
-    with a dict. If found, the decoder will generate a Pymatgen as a
-    priority.  If that fails, the original decoded dictionary from the
-    string is returned. Note that nested lists and dicts containing
-    pymatgen object will be decoded correctly as well.
+    """
+    A Json Decoder which supports the ComponentSerializer API. By default, the
+    decoder attempts to find a module and name associated with a dict. If
+    found, the decoder will generate a Pymatgen as a priority.  If that fails,
+    the original decoded dictionary from the string is returned. Note that
+    nested lists and dicts containing pymatgen object will be decoded correctly
+    as well.
 
     Usage:
 
@@ -109,7 +109,8 @@ class JsonDecoderTemplate(json.JSONDecoder):
     _converter = BaseEncoderDecoder._convert_from_dict
 
     def decode(self, s):
-        """Overrides decode from JSONDecoder.
+        """
+        Overrides decode from JSONDecoder.
 
         :param s: string
         :return: Object.
diff --git a/src/easyscience/legacy/legacy_core.py b/src/easyscience/legacy/legacy_core.py
index 1fed4b86..daddabee 100644
--- a/src/easyscience/legacy/legacy_core.py
+++ b/src/easyscience/legacy/legacy_core.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from __future__ import annotations
 
@@ -21,12 +22,9 @@
 
 
 class ComponentSerializer:
-    """This is the base class for all EasyScience objects and deals with
-    the data conversion to other formats via the `encode` and `decode`
-    functions.
-
-    Shortcuts for dictionary and data dictionary encoding is also
-    present.
+    """
+    This is the base class for all EasyScience objects and deals with the data conversion to other formats via the `encode`
+    and `decode` functions. Shortcuts for dictionary and data dictionary encoding is also present.
     """
 
     _CORE = True
@@ -34,14 +32,9 @@ class ComponentSerializer:
     def __deepcopy__(self, memo):
         return self.from_dict(self.as_dict())
 
-    def encode(
-        self,
-        skip: Optional[List[str]] = None,
-        encoder: Optional[BaseEncoderDecoder] = None,
-        **kwargs,
-    ) -> Any:
-        """Use an encoder to covert an EasyScience object into another
-        format. Default is to a dictionary using `DictSerializer`.
+    def encode(self, skip: Optional[List[str]] = None, encoder: Optional[BaseEncoderDecoder] = None, **kwargs) -> Any:
+        """
+        Use an encoder to covert an EasyScience object into another format. Default is to a dictionary using `DictSerializer`.
 
         :param skip: List of field names as strings to skip when forming the encoded object
         :param encoder: The encoder to be used for encoding the data. Default is `DictSerializer`
@@ -55,12 +48,11 @@ def encode(
 
     @classmethod
     def decode(cls, obj: Any, decoder: Optional[BaseEncoderDecoder] = None) -> Any:
-        """Re-create an EasyScience object from the output of an
-        encoder. The default decoder is `DictSerializer`.
+        """
+        Re-create an EasyScience object from the output of an encoder. The default decoder is `DictSerializer`.
 
         :param obj: encoded EasyScience object
-        :param decoder: decoder to be used to reform the EasyScience
-            object
+        :param decoder: decoder to be used to reform the EasyScience object
         :return: Reformed EasyScience object
         """
 
@@ -69,22 +61,20 @@ def decode(cls, obj: Any, decoder: Optional[BaseEncoderDecoder] = None) -> Any:
         return decoder.decode(obj)
 
     def as_dict(self, skip: Optional[List[str]] = None) -> Dict[str, Any]:
-        """Convert an EasyScience object into a full dictionary using
-        `DictSerializer`. This is a shortcut for
-        ```obj.encode(encoder=DictSerializer)```
-
-        :param skip: List of field names as strings to skip when forming
-            the dictionary
-        :return: encoded object containing all information to reform an
-            EasyScience object.
+        """
+        Convert an EasyScience object into a full dictionary using `DictSerializer`.
+        This is a shortcut for ```obj.encode(encoder=DictSerializer)```
+
+        :param skip: List of field names as strings to skip when forming the dictionary
+        :return: encoded object containing all information to reform an EasyScience object.
         """
 
         return self.encode(skip=skip, encoder=DictSerializer)
 
     @classmethod
     def from_dict(cls, obj_dict: Dict[str, Any]) -> None:
-        """Re-create an EasyScience object from a full encoded
-        dictionary.
+        """
+        Re-create an EasyScience object from a full encoded dictionary.
 
         :param obj_dict: dictionary containing the serialized contents (from `DictSerializer`) of an EasyScience object
         :return: Reformed EasyScience object
@@ -92,14 +82,9 @@ def from_dict(cls, obj_dict: Dict[str, Any]) -> None:
 
         return cls.decode(obj_dict, decoder=DictSerializer)
 
-    def encode_data(
-        self,
-        skip: Optional[List[str]] = None,
-        encoder: Optional[BaseEncoderDecoder] = None,
-        **kwargs,
-    ) -> Any:
-        """Returns just the data in an EasyScience object win the format
-        specified by an encoder.
+    def encode_data(self, skip: Optional[List[str]] = None, encoder: Optional[BaseEncoderDecoder] = None, **kwargs) -> Any:
+        """
+        Returns just the data in an EasyScience object win the format specified by an encoder.
 
         :param skip: List of field names as strings to skip when forming the dictionary
         :param encoder: The encoder to be used for encoding the data. Default is `DataDictSerializer`
@@ -112,23 +97,20 @@ def encode_data(
         return self.encode(skip=skip, encoder=encoder, **kwargs)
 
     def as_data_dict(self, skip: Optional[List[str]] = None) -> Dict[str, Any]:
-        """Returns a dictionary containing just the data of an
-        EasyScience object.
+        """
+        Returns a dictionary containing just the data of an EasyScience object.
 
-        :param skip: List of field names as strings to skip when forming
-            the dictionary
-        :return: dictionary containing just the data of an EasyScience
-            object.
+        :param skip: List of field names as strings to skip when forming the dictionary
+        :return: dictionary containing just the data of an EasyScience object.
         """
 
         return self.encode(skip=skip, encoder=DataDictSerializer)
 
     def unsafe_hash(self) -> sha1:
-        """Returns an hash of the current object.
-
-        This uses a generic but low performance method of converting the
-        object to a dictionary, flattening any nested keys, and then
-        performing a hash on the resulting object
+        """
+        Returns an hash of the current object. This uses a generic but low
+        performance method of converting the object to a dictionary, flattening
+        any nested keys, and then performing a hash on the resulting object
         """
 
         def flatten(obj, seperator='.'):
@@ -137,15 +119,9 @@ def flatten(obj, seperator='.'):
             flat_dict = {}
             for key, value in obj.items():
                 if isinstance(value, dict):
-                    flat_dict.update({
-                        seperator.join([key, _key]): _value
-                        for _key, _value in flatten(value).items()
-                    })
+                    flat_dict.update({seperator.join([key, _key]): _value for _key, _value in flatten(value).items()})
                 elif isinstance(value, list):
-                    list_dict = {
-                        '{}{}{}'.format(key, seperator, num): item
-                        for num, item in enumerate(value)
-                    }
+                    list_dict = {'{}{}{}'.format(key, seperator, num): item for num, item in enumerate(value)}
                     flat_dict.update(flatten(list_dict))
                 else:
                     flat_dict[key] = value
diff --git a/src/easyscience/legacy/xml.py b/src/easyscience/legacy/xml.py
index 7ec29950..e0898409 100644
--- a/src/easyscience/legacy/xml.py
+++ b/src/easyscience/legacy/xml.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from __future__ import annotations
 
@@ -25,8 +26,8 @@
 
 
 class XMLSerializer(BaseEncoderDecoder):
-    """This is a serializer that can encode and decode EasyScience
-    objects to a basic xml format.
+    """
+    This is a serializer that can encode and decode EasyScience objects to a basic xml format.
     """
 
     def encode(
@@ -38,20 +39,16 @@ def encode(
         use_header: bool = False,
         **kwargs,
     ) -> str:
-        """Convert an EasyScience object to an XML encoded string. Note
-        that for speed the `fast` setting can be changed to `True`. An
-        XML document with initial block *data* is returned.
+        """
+        Convert an EasyScience object to an XML encoded string. Note that for speed the `fast` setting can be changed to
+        `True`. An XML document with initial block *data* is returned.
 
         :param obj: Object to be encoded.
-        :param skip: List of field names as strings to skip when forming
-            the encoded object
+        :param skip: List of field names as strings to skip when forming the encoded object
         :param data_only: Should only the object's data be encoded.
-        :param fast: Should the returned string be pretty? This can be
-            turned off for speed.
-        :param use_header: Should a header of `'?xml version="1.0"
-            encoding="UTF-8"?'` be included?
-        :param kwargs: Any additional key-words to pass to the
-            Dictionary Serializer.
+        :param fast: Should the returned string be pretty? This can be turned off for speed.
+        :param use_header: Should a header of `'?xml version="1.0"  encoding="UTF-8"?'` be included?
+        :param kwargs: Any additional key-words to pass to the Dictionary Serializer.
         :return: string containing the XML encoded object
         """
 
@@ -77,8 +74,8 @@ def encode(
 
     @classmethod
     def decode(cls, data: str) -> ComponentSerializer:
-        """Decode an EasyScience object which has been encoded in XML
-        format.
+        """
+        Decode an EasyScience object which has been encoded in XML format.
 
         :param data: String containing XML encoded data.
         :return: Reformed EasyScience object.
@@ -92,7 +89,9 @@ def decode(cls, data: str) -> ComponentSerializer:
 
     @staticmethod
     def _element_to_dict(element, out_dict):
-        """Convert an XML element to a dictionary recursively."""
+        """
+        Convert an XML element to a dictionary recursively.
+        """
 
         label = element.tag
         if label[0] == '_':
@@ -114,7 +113,9 @@ def _element_to_dict(element, out_dict):
 
     @staticmethod
     def string_to_variable(in_string: str):
-        """Convert an XML encoded string to JSON form."""
+        """
+        Convert an XML encoded string to JSON form.
+        """
         if in_string is None:
             return in_string
         in_string = in_string.strip()
@@ -136,8 +137,8 @@ def string_to_variable(in_string: str):
         return value
 
     def _check_class(self, element, key: str, value: Any, skip: Optional[List[str]] = None):
-        """Add a value to an element or create a new element based on
-        input type.
+        """
+        Add a value to an element or create a new element based on input type.
         """
         T_ = type(value)
         if isinstance(value, dict):
diff --git a/src/easyscience/models/__init__.py b/src/easyscience/models/__init__.py
index 3fc7f778..a9aed973 100644
--- a/src/easyscience/models/__init__.py
+++ b/src/easyscience/models/__init__.py
@@ -1,4 +1,5 @@
-# SPDX-FileCopyrightText: 2024 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from .polynomial import Polynomial  # noqa: F401
diff --git a/src/easyscience/models/polynomial.py b/src/easyscience/models/polynomial.py
index 5cc4170b..9ea2576e 100644
--- a/src/easyscience/models/polynomial.py
+++ b/src/easyscience/models/polynomial.py
@@ -1,5 +1,7 @@
-# SPDX-FileCopyrightText: 2024 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
+
 
 from typing import ClassVar
 from typing import Iterable
@@ -14,7 +16,8 @@
 
 
 class Polynomial(ObjBase):
-    """A polynomial model.
+    """
+    A polynomial model.
 
     Parameters
     ----------
@@ -56,11 +59,7 @@ def __repr__(self):
             if len(self.coefficients) >= 2:
                 s += [f'{self.coefficients[1].value}x']
                 if len(self.coefficients) >= 3:
-                    s += [
-                        f'{c.value}x^{i + 2}'
-                        for i, c in enumerate(self.coefficients[2:])
-                        if c.value != 0
-                    ]
+                    s += [f'{c.value}x^{i + 2}' for i, c in enumerate(self.coefficients[2:]) if c.value != 0]
         s.reverse()
         s = ' + '.join(s)
         return 'Polynomial({}, {})'.format(self.name, s)
diff --git a/src/easyscience/utils/__init__.py b/src/easyscience/utils/__init__.py
index 554dc85e..462d95af 100644
--- a/src/easyscience/utils/__init__.py
+++ b/src/easyscience/utils/__init__.py
@@ -1,3 +1,3 @@
-# SPDX-FileCopyrightText: 2025 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
diff --git a/src/easyscience/utils/classTools.py b/src/easyscience/utils/classTools.py
index 151f36c1..6b2b9555 100644
--- a/src/easyscience/utils/classTools.py
+++ b/src/easyscience/utils/classTools.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from __future__ import annotations
 
diff --git a/src/easyscience/utils/classUtils.py b/src/easyscience/utils/classUtils.py
index 6d56028a..fd08c343 100644
--- a/src/easyscience/utils/classUtils.py
+++ b/src/easyscience/utils/classUtils.py
@@ -1,16 +1,19 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from functools import wraps
 
 
 def singleton(cls):
-    """This decorator can be used to create a singleton out of a class.
+    """
+    This decorator can be used to create a singleton out of a class.
 
     Usage::
 
         @singleton
-        class MySingleton:
+        class MySingleton():
+
             def __init__():
                 pass
     """
@@ -26,9 +29,10 @@ def get_instance():
 
 
 def cached_class(klass):
-    """Decorator to cache class instances by constructor arguments. This
-    results in a class that behaves like a singleton for each set of
-    constructor arguments, ensuring efficiency.
+    """
+    Decorator to cache class instances by constructor arguments.
+    This results in a class that behaves like a singleton for each
+    set of constructor arguments, ensuring efficiency.
 
     Note that this should be used for *immutable classes only*.  Having
     a cached mutable class makes very little sense.  For efficiency,
@@ -36,9 +40,10 @@ def cached_class(klass):
     constructor arguments permutations.
 
     The keywords argument dictionary is converted to a tuple because
-    dicts are mutable; keywords themselves are strings and so are always
-    hashable, but if any arguments (keyword or positional) are non-
-    hashable, that set of arguments is not cached.
+    dicts are mutable; keywords themselves are strings and
+    so are always hashable, but if any arguments (keyword
+    or positional) are non-hashable, that set of arguments
+    is not cached.
     """
     cache = {}
 
@@ -49,8 +54,8 @@ class _decorated(klass):
         __doc__ = klass.__doc__
 
         def __new__(cls, *args, **kwargs):
-            """Pass through...
-
+            """
+            Pass through...
             :param args:
             :param kwargs:
             :return:
diff --git a/src/easyscience/utils/decorators.py b/src/easyscience/utils/decorators.py
index 16457b48..057bb815 100644
--- a/src/easyscience/utils/decorators.py
+++ b/src/easyscience/utils/decorators.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import collections.abc
 import functools
@@ -10,11 +11,10 @@
 
 
 class memoized:
-    """Decorator.
-
-    Caches a function's return value each time it is called. If called
-    later with the same arguments, the cached value is returned (not
-    reevaluated).
+    """
+    Decorator. Caches a function's return value each time it is called.
+    If called later with the same arguments, the cached value is returned
+    (not reevaluated).
     """
 
     def __init__(self, func):
@@ -42,9 +42,10 @@ def __get__(self, obj, objtype):
 
 
 def counted(func):
-    """Counts how many times a function has been called and adds a
-    `func.calls` to it's properties :param func: Function to be counted
-    :return: Results from function call.
+    """
+    Counts how many times a function has been called and adds a `func.calls` to it's properties
+    :param func: Function to be counted
+    :return: Results from function call
     """
 
     @functools.wraps(func)
@@ -57,9 +58,10 @@ def wrapped(*args, **kwargs):
 
 
 def time_it(func):
-    """Times a function and reports the time either to the class' log or
-    the base logger :param func: function to be timed :return: callable
-    function with timer.
+    """
+    Times a function and reports the time either to the class' log or the base logger
+    :param func: function to be timed
+    :return: callable function with timer
     """
     name = func.__module__ + '.' + func.__name__
     time_logger = global_object.log.getLogger('timer.' + name)
@@ -77,10 +79,10 @@ def _time_it(*args, **kwargs):
 
 
 def deprecated(func):
-    """This is a decorator which can be used to mark functions as
-    deprecated.
-
-    It will result in a warning being emitted when the function is used.
+    """
+    This is a decorator which can be used to mark functions
+    as deprecated. It will result in a warning being emitted
+    when the function is used.
     """
 
     @functools.wraps(func)
diff --git a/src/easyscience/utils/string.py b/src/easyscience/utils/string.py
index e8a2456d..23f344e6 100644
--- a/src/easyscience/utils/string.py
+++ b/src/easyscience/utils/string.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from fractions import Fraction
 
@@ -8,13 +9,11 @@
 """
 
 
-def transformation_to_string(
-    matrix, translation_vec=(0, 0, 0), components=('x', 'y', 'z'), c='', delim=','
-):
-    """Convenience method.
-
-    Given matrix returns string, e.g. x+2y+1/4
-    :param matrix : param translation_vec
+def transformation_to_string(matrix, translation_vec=(0, 0, 0), components=('x', 'y', 'z'), c='', delim=','):
+    """
+    Convenience method. Given matrix returns string, e.g. x+2y+1/4
+    :param matrix
+    :param translation_vec
     :param components: either ('x', 'y', 'z') or ('a', 'b', 'c')
     :param c: optional additional character to print (used for magmoms)
     :param delim: delimiter
diff --git a/src/easyscience/variable/__init__.py b/src/easyscience/variable/__init__.py
index 121d5cf9..96094cab 100644
--- a/src/easyscience/variable/__init__.py
+++ b/src/easyscience/variable/__init__.py
@@ -1,6 +1,3 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from .descriptor_any_type import DescriptorAnyType
 from .descriptor_array import DescriptorArray
 from .descriptor_base import DescriptorBase
diff --git a/src/easyscience/variable/descriptor_any_type.py b/src/easyscience/variable/descriptor_any_type.py
index 6bdf7f39..c00ccb01 100644
--- a/src/easyscience/variable/descriptor_any_type.py
+++ b/src/easyscience/variable/descriptor_any_type.py
@@ -1,6 +1,3 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
 import numbers
@@ -18,11 +15,9 @@
 
 
 class DescriptorAnyType(DescriptorBase):
-    """A `Descriptor` for any type that does not fit the other
-    Descriptors.
-
-    Should be avoided when possible. It was created to hold the symmetry
-    operations used in the SpaceGroup class of EasyCrystallography.
+    """
+    A `Descriptor` for any type that does not fit the other Descriptors. Should be avoided when possible.
+    It was created to hold the symmetry operations used in the SpaceGroup class of EasyCrystallography.
     """
 
     def __init__(
@@ -35,7 +30,7 @@ def __init__(
         display_name: Optional[str] = None,
         parent: Optional[Any] = None,
     ):
-        """Constructor for the DescriptorAnyType class.
+        """Constructor for the DescriptorAnyType class
 
         param name: Name of the descriptor
         param value: Value of the descriptor
@@ -59,7 +54,8 @@ def __init__(
 
     @property
     def value(self) -> numbers.Number:
-        """Get the value.
+        """
+        Get the value.
 
         :return: Value of self.
         """
@@ -68,7 +64,8 @@ def value(self) -> numbers.Number:
     @value.setter
     @property_stack
     def value(self, value: Union[list, np.ndarray]) -> None:
-        """Set the value of self.
+        """
+        Set the value of self.
 
         :param value: New value for the DescriptorAnyType.
         """
@@ -78,8 +75,8 @@ def __copy__(self) -> DescriptorAnyType:
         return super().__copy__()
 
     def __repr__(self) -> str:
-        """Return a string representation of the DescriptorAnyType,
-        showing its name and value.
+        """
+        Return a string representation of the DescriptorAnyType, showing its name and value.
         """
 
         if hasattr(self._value, '__repr__'):
diff --git a/src/easyscience/variable/descriptor_array.py b/src/easyscience/variable/descriptor_array.py
index aecc684a..9e9b8e6f 100644
--- a/src/easyscience/variable/descriptor_array.py
+++ b/src/easyscience/variable/descriptor_array.py
@@ -1,6 +1,3 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
 import numbers
@@ -26,9 +23,8 @@
 
 
 class DescriptorArray(DescriptorBase):
-    """A `Descriptor` for Array values with units.
-
-    The internal representation is a scipp array.
+    """
+    A `Descriptor` for Array values with units. The internal representation is a scipp array.
     """
 
     def __init__(
@@ -44,7 +40,7 @@ def __init__(
         parent: Optional[Any] = None,
         dimensions: Optional[list] = None,
     ):
-        """Constructor for the DescriptorArray class.
+        """Constructor for the DescriptorArray class
 
         param name: Name of the descriptor
         param value: List containing the values of the descriptor
@@ -76,17 +72,13 @@ def __init__(
             variance = np.astype(variance, 'float')
 
         if not isinstance(unit, sc.Unit) and not isinstance(unit, str):
-            raise TypeError(
-                f'{unit=} must be a scipp unit or a string representing a valid scipp unit'
-            )
+            raise TypeError(f'{unit=} must be a scipp unit or a string representing a valid scipp unit')
 
         if dimensions is None:
             # Autogenerate dimensions if not supplied
             dimensions = ['dim' + str(i) for i in range(len(value.shape))]
         if not len(dimensions) == len(value.shape):
-            raise ValueError(
-                f'Length of dimensions ({dimensions=}) does not match length of value {value=}.'
-            )
+            raise ValueError(f'Length of dimensions ({dimensions=}) does not match length of value {value=}.')
         self._dimensions = dimensions
 
         try:
@@ -112,7 +104,8 @@ def __init__(
 
     @classmethod
     def from_scipp(cls, name: str, full_value: Variable, **kwargs) -> DescriptorArray:
-        """Create a DescriptorArray from a scipp array.
+        """
+        Create a DescriptorArray from a scipp array.
 
         :param name: Name of the descriptor
         :param full_value: Value of the descriptor as a scipp variable
@@ -132,8 +125,8 @@ def from_scipp(cls, name: str, full_value: Variable, **kwargs) -> DescriptorArra
 
     @property
     def full_value(self) -> Variable:
-        """Get the value of self as a scipp array. This should be usable
-        for most cases.
+        """
+        Get the value of self as a scipp array. This should be usable for most cases.
 
         :return: Value of self with unit.
         """
@@ -147,8 +140,8 @@ def full_value(self, full_value: Variable) -> None:
 
     @property
     def value(self) -> numbers.Number:
-        """Get the value without units. The Scipp array can be obtained
-        from `obj.full_value`.
+        """
+        Get the value without units. The Scipp array can be obtained from `obj.full_value`.
 
         :return: Value of self without unit.
         """
@@ -157,12 +150,11 @@ def value(self) -> numbers.Number:
     @value.setter
     @property_stack
     def value(self, value: Union[list, np.ndarray]) -> None:
-        """Set the value of self. Ensures the input is an array and
-        matches the shape of the existing array. The full value can be
-        obtained from `obj.full_value`.
+        """
+        Set the value of self. Ensures the input is an array and matches the shape of the existing array.
+        The full value can be obtained from `obj.full_value`.
 
-        :param value: New value for the DescriptorArray, must be a list
-            or numpy array.
+        :param value: New value for the DescriptorArray, must be a list or numpy array.
         """
         if not isinstance(value, (list, np.ndarray)):
             raise TypeError(f'{value=} must be a list or numpy array.')
@@ -177,7 +169,8 @@ def value(self, value: Union[list, np.ndarray]) -> None:
 
     @property
     def dimensions(self) -> list:
-        """Get the dimensions used for the underlying scipp array.
+        """
+        Get the dimensions used for the underlying scipp array.
 
         :return: dimensions of self.
         """
@@ -185,8 +178,8 @@ def dimensions(self) -> list:
 
     @dimensions.setter
     def dimensions(self, dimensions: Union[list]) -> None:
-        """Set the dimensions of self. Ensures that the input has a
-        shape compatible with self.full_value.
+        """
+        Set the dimensions of self. Ensures that the input has a shape compatible with self.full_value.
 
         :param value: list of dimensions.
         """
@@ -198,15 +191,14 @@ def dimensions(self, dimensions: Union[list]) -> None:
 
         self._dimensions = dimensions
         # Also rename the dims of the scipp array
-        rename_dict = {
-            old_dim: new_dim for (old_dim, new_dim) in zip(self.full_value.dims, dimensions)
-        }
+        rename_dict = {old_dim: new_dim for (old_dim, new_dim) in zip(self.full_value.dims, dimensions)}
         renamed_array = self._array.rename_dims(rename_dict)
         self._array = renamed_array
 
     @property
     def unit(self) -> str:
-        """Get the unit.
+        """
+        Get the unit.
 
         :return: Unit as a string.
         """
@@ -223,7 +215,8 @@ def unit(self, unit_str: str) -> None:
 
     @property
     def variance(self) -> np.ndarray:
-        """Get the variance as a Numpy ndarray.
+        """
+        Get the variance as a Numpy ndarray.
 
         :return: variance.
         """
@@ -232,19 +225,16 @@ def variance(self) -> np.ndarray:
     @variance.setter
     @property_stack
     def variance(self, variance: Union[list, np.ndarray]) -> None:
-        """Set the variance of self. Ensures the input is an array and
-        matches the shape of the existing values.
+        """
+        Set the variance of self. Ensures the input is an array and matches the shape of the existing values.
 
-        :param variance: New variance for the DescriptorArray, must be a
-            list or numpy array.
+        :param variance: New variance for the DescriptorArray, must be a list or numpy array.
         """
         if variance is not None:
             if not isinstance(variance, (list, np.ndarray)):
                 raise TypeError(f'{variance=} must be a list or numpy array.')
             if isinstance(variance, list):
-                variance = np.array(
-                    variance
-                )  # Convert lists to numpy arrays for consistent handling.
+                variance = np.array(variance)  # Convert lists to numpy arrays for consistent handling.
 
             if variance.shape != self._array.shape:
                 raise ValueError(f'{variance=} must have the same shape as the array values.')
@@ -257,11 +247,10 @@ def variance(self, variance: Union[list, np.ndarray]) -> None:
 
     @property
     def error(self) -> Optional[np.ndarray]:
-        """The standard deviations, calculated as the square root of
-        variances.
+        """
+        The standard deviations, calculated as the square root of variances.
 
-        :return: A numpy array of standard deviations, or None if
-            variances are not set.
+        :return: A numpy array of standard deviations, or None if variances are not set.
         """
         if self._array.variances is None:
             return None
@@ -270,8 +259,8 @@ def error(self) -> Optional[np.ndarray]:
     @error.setter
     @property_stack
     def error(self, error: Union[list, np.ndarray]) -> None:
-        """Set the standard deviation for the parameter, which updates
-        the variances.
+        """
+        Set the standard deviation for the parameter, which updates the variances.
 
         :param error: A list or numpy array of standard deviations.
         """
@@ -293,7 +282,8 @@ def error(self, error: Union[list, np.ndarray]) -> None:
             self._array.variances = None
 
     def convert_unit(self, unit_str: str) -> None:
-        """Convert the value from one unit system to another.
+        """
+        Convert the value from one unit system to another.
 
         :param unit_str: New unit in string form
         """
@@ -316,22 +306,21 @@ def set_array(obj, scalar):
 
         # Push to undo stack
         self._global_object.stack.push(
-            PropertyStack(
-                self, set_array, old_array, new_array, text=f'Convert unit to {unit_str}'
-            )
+            PropertyStack(self, set_array, old_array, new_array, text=f'Convert unit to {unit_str}')
         )
 
         # Update the array
         self._array = new_array
 
     def __copy__(self) -> DescriptorArray:
-        """Return a copy of the current DescriptorArray."""
+        """
+        Return a copy of the current DescriptorArray.
+        """
         return super().__copy__()
 
     def __repr__(self) -> str:
-        """Return a string representation of the DescriptorArray,
-        showing its name, value, variance, and unit.
-
+        """
+        Return a string representation of the DescriptorArray, showing its name, value, variance, and unit.
         Large arrays are summarized for brevity.
         """
         # Base string with name
@@ -366,10 +355,9 @@ def __repr__(self) -> str:
         return string
 
     def as_dict(self, skip: Optional[List[str]] = None) -> Dict[str, Any]:
-        """Dict representation of the current DescriptorArray.
-
-        The dict contains the value, unit and variances, in addition to
-        the properties of DescriptorBase.
+        """
+        Dict representation of the current DescriptorArray. The dict contains the value, unit and variances,
+        in addition to the properties of DescriptorBase.
         """
         raw_dict = super().as_dict(skip=skip)
         raw_dict['value'] = self._array.values
@@ -384,16 +372,13 @@ def _apply_operation(
         operation: Callable,
         units_must_match: bool = True,
     ) -> DescriptorArray:
-        """Perform element-wise operations with another
-        DescriptorNumber, DescriptorArray, list, or number.
+        """
+        Perform element-wise operations with another DescriptorNumber, DescriptorArray, list, or number.
 
-        :param other: The object to operate on. Must be a
-            DescriptorArray or DescriptorNumber with compatible units,
-            or a list with the same shape if the DescriptorArray is
-            dimensionless.
+        :param other: The object to operate on. Must be a DescriptorArray or DescriptorNumber with compatible units,
+                    or a list with the same shape if the DescriptorArray is dimensionless.
         :param operation: The operation to perform
-        :return: A new DescriptorArray representing the result of the
-            operation.
+        :return: A new DescriptorArray representing the result of the operation.
         """
         if isinstance(other, numbers.Number):
             # Does not need to be dimensionless for multiplication and division
@@ -407,14 +392,10 @@ def _apply_operation(
 
             # Ensure dimensions match
             if np.shape(other) != self._array.values.shape:
-                raise ValueError(
-                    f'Shape of {other=} must match the shape of DescriptorArray values'
-                )
+                raise ValueError(f'Shape of {other=} must match the shape of DescriptorArray values')
 
             other = sc.array(dims=self._array.dims, values=other)
-            new_full_value = operation(
-                self._array, other
-            )  # Let scipp handle operation for uncertainty propagation
+            new_full_value = operation(self._array, other)  # Let scipp handle operation for uncertainty propagation
 
         elif isinstance(other, DescriptorNumber):
             try:
@@ -422,9 +403,7 @@ def _apply_operation(
                 other_converted.convert_unit(self.unit)
             except UnitError:
                 if units_must_match:
-                    raise UnitError(
-                        f'Values with units {self.unit} and {other.unit} are not compatible'
-                    ) from None
+                    raise UnitError(f'Values with units {self.unit} and {other.unit} are not compatible') from None
             # Operations with a DescriptorNumber that has a variance WILL introduce
             # correlations between the elements of the DescriptorArray.
             # See, https://content.iospress.com/articles/journal-of-neutron-research/jnr220049
@@ -439,9 +418,7 @@ def _apply_operation(
                     UserWarning,
                 )
             # Cheeky copy() of broadcasted scipp array to force scipp to perform the broadcast here
-            broadcasted = sc.broadcast(
-                other_converted.full_value, dims=self._array.dims, shape=self._array.shape
-            ).copy()
+            broadcasted = sc.broadcast(other_converted.full_value, dims=self._array.dims, shape=self._array.shape).copy()
             new_full_value = operation(self.full_value, broadcasted)
 
         elif isinstance(other, DescriptorArray):
@@ -450,9 +427,7 @@ def _apply_operation(
                 other_converted.convert_unit(self.unit)
             except UnitError:
                 if units_must_match:
-                    raise UnitError(
-                        f'Values with units {self.unit} and {other.unit} are incompatible'
-                    ) from None
+                    raise UnitError(f'Values with units {self.unit} and {other.unit} are incompatible') from None
 
             # Ensure dimensions match
             if self.full_value.dims != other_converted.full_value.dims:
@@ -476,9 +451,8 @@ def _rapply_operation(
         operation: Callable,
         units_must_match: bool = True,
     ) -> DescriptorArray:
-        """Handle reverse operations for DescriptorArrays,
-        DescriptorNumbers, lists, and scalars.
-
+        """
+        Handle reverse operations for DescriptorArrays, DescriptorNumbers, lists, and scalars.
         Ensures unit compatibility when `other` is a DescriptorNumber.
         """
 
@@ -496,9 +470,7 @@ def reversed_operation(a, b):
                 # the units for mul/div, but if the conversion
                 # fails it's no big deal.
                 if units_must_match:
-                    raise UnitError(
-                        f'Values with units {self.unit} and {other.unit} are incompatible'
-                    ) from None
+                    raise UnitError(f'Values with units {self.unit} and {other.unit} are incompatible') from None
             result = self._apply_operation(other, reversed_operation, units_must_match)
             # Revert `self` to its original unit
             self.convert_unit(original_unit)
@@ -508,59 +480,45 @@ def reversed_operation(a, b):
             return self._apply_operation(other, reversed_operation, units_must_match)
 
     def __array_ufunc__(self, ufunc, method, *inputs, **kwargs):
-        """DescriptorArray does not generally support Numpy array
-        functions.
-
-        For example, `np.argwhere(descriptorArray: DescriptorArray)`
-        should fail. Modify this function if you want to add such
-        functionality.
+        """
+        DescriptorArray does not generally support Numpy array functions.
+        For example, `np.argwhere(descriptorArray: DescriptorArray)` should fail.
+        Modify this function if you want to add such functionality.
         """
         return NotImplemented
 
     def __array_function__(self, func, types, args, kwargs):
-        """DescriptorArray does not generally support Numpy array
-        functions.
-
-        For example, `np.argwhere(descriptorArray: DescriptorArray)`
-        should fail. Modify this function if you want to add such
-        functionality.
+        """
+        DescriptorArray does not generally support Numpy array functions.
+        For example, `np.argwhere(descriptorArray: DescriptorArray)` should fail.
+        Modify this function if you want to add such functionality.
         """
         return NotImplemented
 
-    def __add__(
-        self, other: Union[DescriptorArray, DescriptorNumber, list, numbers.Number]
-    ) -> DescriptorArray:
-        """Perform element-wise addition with another DescriptorNumber,
-        DescriptorArray, list, or number.
+    def __add__(self, other: Union[DescriptorArray, DescriptorNumber, list, numbers.Number]) -> DescriptorArray:
+        """
+        Perform element-wise addition with another DescriptorNumber, DescriptorArray, list, or number.
 
-        :param other: The object to add. Must be a DescriptorArray or
-            DescriptorNumber with compatible units, or a list with the
-            same shape if the DescriptorArray is dimensionless, or a
-            number.
-        :return: A new DescriptorArray representing the result of the
-            addition.
+        :param other: The object to add. Must be a DescriptorArray or DescriptorNumber with compatible units,
+                    or a list with the same shape if the DescriptorArray is dimensionless, or a number.
+        :return: A new DescriptorArray representing the result of the addition.
         """
         return self._apply_operation(other, operator.add)
 
     def __radd__(self, other: Union[DescriptorNumber, list, numbers.Number]) -> DescriptorArray:
-        """Handle reverse addition for DescriptorArrays,
-        DescriptorNumbers, lists, and scalars.
-
+        """
+        Handle reverse addition for DescriptorArrays, DescriptorNumbers, lists, and scalars.
         Ensures unit compatibility when `other` is a DescriptorNumber.
         """
         return self._rapply_operation(other, operator.add)
 
-    def __sub__(
-        self, other: Union[DescriptorArray, list, np.ndarray, numbers.Number]
-    ) -> DescriptorArray:
-        """Perform element-wise subtraction with another
-        DescriptorArray, list, or number.
+    def __sub__(self, other: Union[DescriptorArray, list, np.ndarray, numbers.Number]) -> DescriptorArray:
+        """
+        Perform element-wise subtraction with another DescriptorArray, list, or number.
 
-        :param other: The object to subtract. Must be a DescriptorArray
-            with compatible units, or a list with the same shape if the
-            DescriptorArray is dimensionless.
-        :return: A new DescriptorArray representing the result of the
-            subtraction.
+        :param other: The object to subtract. Must be a DescriptorArray with compatible units,
+                    or a list with the same shape if the DescriptorArray is dimensionless.
+        :return: A new DescriptorArray representing the result of the subtraction.
         """
         if isinstance(other, (DescriptorArray, DescriptorNumber, list, numbers.Number)):
             # Leverage __neg__ and __add__ for subtraction
@@ -574,14 +532,12 @@ def __sub__(
             return NotImplemented
 
     def __rsub__(self, other: Union[DescriptorNumber, list, numbers.Number]) -> DescriptorArray:
-        """Perform element-wise subtraction with another
-        DescriptorNumber, list, or number.
+        """
+        Perform element-wise subtraction with another DescriptorNumber, list, or number.
 
-        :param other: The object to subtract. Must be a DescriptorArray
-            with compatible units, or a list with the same shape if the
-            DescriptorArray is dimensionless.
-        :return: A new DescriptorArray representing the result of the
-            subtraction.
+        :param other: The object to subtract. Must be a DescriptorArray with compatible units,
+                    or a list with the same shape if the DescriptorArray is dimensionless.
+        :return: A new DescriptorArray representing the result of the subtraction.
         """
         if isinstance(other, (DescriptorNumber, list, numbers.Number)):
             if isinstance(other, list):
@@ -593,44 +549,34 @@ def __rsub__(self, other: Union[DescriptorNumber, list, numbers.Number]) -> Desc
         else:
             return NotImplemented
 
-    def __mul__(
-        self, other: Union[DescriptorArray, DescriptorNumber, list, numbers.Number]
-    ) -> DescriptorArray:
-        """Perform element-wise multiplication with another
-        DescriptorNumber, DescriptorArray, list, or number.
+    def __mul__(self, other: Union[DescriptorArray, DescriptorNumber, list, numbers.Number]) -> DescriptorArray:
+        """
+        Perform element-wise multiplication with another DescriptorNumber, DescriptorArray, list, or number.
 
-        :param other: The object to multiply. Must be a DescriptorArray
-            or DescriptorNumber with compatible units, or a list with
-            the same shape if the DescriptorArray is dimensionless.
-        :return: A new DescriptorArray representing the result of the
-            addition.
+        :param other: The object to multiply. Must be a DescriptorArray or DescriptorNumber with compatible units,
+                    or a list with the same shape if the DescriptorArray is dimensionless.
+        :return: A new DescriptorArray representing the result of the addition.
         """
         if not isinstance(other, (DescriptorArray, DescriptorNumber, list, numbers.Number)):
             return NotImplemented
         return self._apply_operation(other, operator.mul, units_must_match=False)
 
     def __rmul__(self, other: Union[DescriptorNumber, list, numbers.Number]) -> DescriptorArray:
-        """Handle reverse multiplication for DescriptorNumbers, lists,
-        and scalars.
-
+        """
+        Handle reverse multiplication for DescriptorNumbers, lists, and scalars.
         Ensures unit compatibility when `other` is a DescriptorNumber.
         """
         if not isinstance(other, (DescriptorNumber, list, numbers.Number)):
             return NotImplemented
         return self._rapply_operation(other, operator.mul, units_must_match=False)
 
-    def __truediv__(
-        self, other: Union[DescriptorArray, DescriptorNumber, list, numbers.Number]
-    ) -> DescriptorArray:
-        """Perform element-wise division with another DescriptorNumber,
-        DescriptorArray, list, or number.
+    def __truediv__(self, other: Union[DescriptorArray, DescriptorNumber, list, numbers.Number]) -> DescriptorArray:
+        """
+        Perform element-wise division with another DescriptorNumber, DescriptorArray, list, or number.
 
-        :param other: The object to use as a denominator. Must be a
-            DescriptorArray or DescriptorNumber with compatible units,
-            or a list with the same shape if the DescriptorArray is
-            dimensionless.
-        :return: A new DescriptorArray representing the result of the
-            addition.
+        :param other: The object to use as a denominator. Must be a DescriptorArray or DescriptorNumber with compatible units,
+                    or a list with the same shape if the DescriptorArray is dimensionless.
+        :return: A new DescriptorArray representing the result of the addition.
         """
         if not isinstance(other, (DescriptorArray, DescriptorNumber, list, numbers.Number)):
             return NotImplemented
@@ -646,12 +592,9 @@ def __truediv__(
             raise ZeroDivisionError('Cannot divide by zero')
         return self._apply_operation(other, operator.truediv, units_must_match=False)
 
-    def __rtruediv__(
-        self, other: Union[DescriptorNumber, list, numbers.Number]
-    ) -> DescriptorArray:
-        """Handle reverse division for DescriptorNumbers, lists, and
-        scalars.
-
+    def __rtruediv__(self, other: Union[DescriptorNumber, list, numbers.Number]) -> DescriptorArray:
+        """
+        Handle reverse division for DescriptorNumbers, lists, and scalars.
         Ensures unit compatibility when `other` is a DescriptorNumber.
         """
         if not isinstance(other, (DescriptorNumber, list, numbers.Number)):
@@ -666,13 +609,12 @@ def __rtruediv__(
         return inverse_result
 
     def __pow__(self, other: Union[DescriptorNumber, numbers.Number]) -> DescriptorArray:
-        """Perform element-wise exponentiation with another
-        DescriptorNumber or number.
+        """
+        Perform element-wise exponentiation with another DescriptorNumber or number.
 
-        :param other: The object to use as a denominator. Must be a
-            number or DescriptorNumber with no unit or variance.
-        :return: A new DescriptorArray representing the result of the
-            addition.
+        :param other: The object to use as a denominator. Must be a number or DescriptorNumber with
+                    no unit or variance.
+        :return: A new DescriptorArray representing the result of the addition.
         """
         if not isinstance(other, (numbers.Number, DescriptorNumber)):
             return NotImplemented
@@ -698,26 +640,27 @@ def __pow__(self, other: Union[DescriptorNumber, numbers.Number]) -> DescriptorA
         return descriptor_number
 
     def __rpow__(self, other: numbers.Number):
-        """Defers reverse pow with a descriptor array, `a ** array`.
-
-        Exponentiation with regards to an array does not make sense, and
-        is not implemented.
+        """
+        Defers reverse pow with a descriptor array, `a ** array`.
+        Exponentiation with regards to an array does not make sense,
+        and is not implemented.
         """
         raise ValueError('Raising a value to the power of an array does not make sense.')
 
     def __neg__(self) -> DescriptorArray:
-        """Negate all values in the DescriptorArray."""
+        """
+        Negate all values in the DescriptorArray.
+        """
         new_value = -self.full_value
         descriptor_array = DescriptorArray.from_scipp(name=self.name, full_value=new_value)
         descriptor_array.name = descriptor_array.unique_name
         return descriptor_array
 
     def __abs__(self) -> DescriptorArray:
-        """Replace all elements in the DescriptorArray with their
-        absolute values.
-
-        Note that this is different from the norm of the
-        DescriptorArray.
+        """
+        Replace all elements in the DescriptorArray with their
+        absolute values. Note that this is different from the
+        norm of the DescriptorArray.
         """
         new_value = abs(self.full_value)
         descriptor_array = DescriptorArray.from_scipp(name=self.name, full_value=new_value)
@@ -725,27 +668,25 @@ def __abs__(self) -> DescriptorArray:
         return descriptor_array
 
     def __getitem__(self, a) -> DescriptorArray:
-        """Slice using scipp syntax.
-
+        """
+        Slice using scipp syntax.
         Defer slicing to scipp.
         """
-        descriptor = DescriptorArray.from_scipp(
-            name=self.name, full_value=self.full_value.__getitem__(a)
-        )
+        descriptor = DescriptorArray.from_scipp(name=self.name, full_value=self.full_value.__getitem__(a))
         descriptor.name = descriptor.unique_name
         return descriptor
 
     def __delitem__(self, a):
-        """Defer slicing to scipp.
-
+        """
+        Defer slicing to scipp.
         This should fail, since scipp does not support __delitem__.
         """
         return self.full_value.__delitem__(a)
 
     def __setitem__(self, a, b: Union[numbers.Number, list, DescriptorNumber, DescriptorArray]):
-        """__setitem via slice is not allowed, since we currently do not
-        give back a view to the DescriptorArray upon calling
-        __getitem__.
+        """
+        __setitem via slice is not allowed, since we currently do not give back a
+        view to the DescriptorArray upon calling __getitem__.
         """
         raise AttributeError(
             f'{self.__class__.__name__} cannot be edited via slicing. Edit the underlying scipp\
@@ -756,17 +697,14 @@ def __setitem__(self, a, b: Union[numbers.Number, list, DescriptorNumber, Descri
     def trace(
         self, dimension1: Optional[str] = None, dimension2: Optional[str] = None
     ) -> Union[DescriptorArray, DescriptorNumber]:
-        """Computes the trace over the descriptor array. The submatrix
-        defined `dimension1` and `dimension2` must be square. For a rank
-        `k` tensor, the trace will run over the firs two dimensions,
-        resulting in a rank `k-2` tensor.
+        """
+        Computes the trace over the descriptor array. The submatrix defined `dimension1` and `dimension2` must be square.
+        For a rank `k` tensor, the trace will run over the firs two dimensions, resulting in a rank `k-2` tensor.
 
         :param dimension1, dimension2: First and second dimension to perform trace over. Must be in `self.dimensions`.
             If not defined, the trace will be taken over the first two dimensions.
         """
-        if (dimension1 is not None and dimension2 is None) or (
-            dimension1 is None and dimension2 is not None
-        ):
+        if (dimension1 is not None and dimension2 is None) or (dimension1 is None and dimension2 is not None):
             raise ValueError('Either both or none of `dimension1` and `dimension2` must be set.')
 
         if dimension1 is not None and dimension2 is not None:
@@ -779,9 +717,7 @@ def trace(
                     raise ValueError(f'Dimension {dim=} does not exist in `self.dimensions`.')
                 index = self.dimensions.index(dim)
                 axes.append(index)
-            remaining_dimensions = [
-                dim for dim in self.dimensions if dim not in (dimension1, dimension2)
-            ]
+            remaining_dimensions = [dim for dim in self.dimensions if dim not in (dimension1, dimension2)]
         else:
             # Take the first two dimensions
             axes = (0, 1)
@@ -789,11 +725,7 @@ def trace(
             remaining_dimensions = self.dimensions[2:]
 
         trace_value = np.trace(self.value, axis1=axes[0], axis2=axes[1])
-        trace_variance = (
-            np.trace(self.variance, axis1=axes[0], axis2=axes[1])
-            if self.variance is not None
-            else None
-        )
+        trace_variance = np.trace(self.variance, axis1=axes[0], axis2=axes[1]) if self.variance is not None else None
         # The trace reduces a rank k tensor to a k-2.
         if remaining_dimensions == []:
             # No remaining dimensions; the trace is a scalar
@@ -801,23 +733,16 @@ def trace(
             constructor = DescriptorNumber.from_scipp
         else:
             # Else, the result is some array
-            trace = sc.array(
-                dims=remaining_dimensions,
-                values=trace_value,
-                unit=self.unit,
-                variances=trace_variance,
-            )
+            trace = sc.array(dims=remaining_dimensions, values=trace_value, unit=self.unit, variances=trace_variance)
             constructor = DescriptorArray.from_scipp
 
         descriptor = constructor(name=self.name, full_value=trace)
         descriptor.name = descriptor.unique_name
         return descriptor
 
-    def sum(
-        self, dim: Optional[Union[str, list]] = None
-    ) -> Union[DescriptorArray, DescriptorNumber]:
-        """Uses scipp to sum over the requested dims.
-
+    def sum(self, dim: Optional[Union[str, list]] = None) -> Union[DescriptorArray, DescriptorNumber]:
+        """
+        Uses scipp to sum over the requested dims.
         :param dim: The dim(s) in the scipp array to sum over. If `None`, will sum over all dims.
         """
         new_full_value = self.full_value.sum(dim=dim)
@@ -858,8 +783,8 @@ def sum(
     #     new_full_value = operation(self._array, other)  # Let scipp handle operation for uncertainty propagation
 
     def _base_unit(self) -> str:
-        """Returns the base unit of the current array.
-
+        """
+        Returns the base unit of the current array.
         For example, if the unit is `100m`, returns `m`.
         """
         string = str(self._array.unit)
diff --git a/src/easyscience/variable/descriptor_base.py b/src/easyscience/variable/descriptor_base.py
index 07b4aaa1..4bb54e4a 100644
--- a/src/easyscience/variable/descriptor_base.py
+++ b/src/easyscience/variable/descriptor_base.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from __future__ import annotations
 
@@ -13,12 +14,11 @@
 
 
 class DescriptorBase(SerializerComponent, metaclass=abc.ABCMeta):
-    """This is the base of all variable descriptions for models. It
-    contains all information to describe a single unique property of an
-    object. This description includes a name and value as well as
-    optionally a unit, description and url (for reference material).
-    Also implemented is a callback so that the value can be read/set
-    from a linked library object.
+    """
+    This is the base of all variable descriptions for models. It contains all information to describe a single
+    unique property of an object. This description includes a name and value as well as optionally a unit, description
+    and url (for reference material). Also implemented is a callback so that the value can be read/set from a linked
+    library object.
 
     A `Descriptor` is typically something which describes part of a model and is non-fittable and generally changes the
     state of an object.
@@ -37,10 +37,9 @@ def __init__(
         display_name: Optional[str] = None,
         parent: Optional[Any] = None,
     ):
-        """This is the base of variables for models. It contains all
-        information to describe a single unique property of an object.
-        This description includes a name, description and url (for
-        reference material).
+        """
+        This is the base of variables for models. It contains all information to describe a single
+        unique property of an object. This description includes a name, description and url (for reference material).
 
         A `Descriptor` is typically something which describes part of a model and is non-fittable and generally changes
         the state of an object.
@@ -87,7 +86,8 @@ def __init__(
 
     @property
     def name(self) -> str:
-        """Get the name of the object.
+        """
+        Get the name of the object.
 
         :return: name of the object.
         """
@@ -96,7 +96,8 @@ def name(self) -> str:
     @name.setter
     @property_stack
     def name(self, new_name: str) -> None:
-        """Set the name.
+        """
+        Set the name.
 
         :param new_name: name of the object.
         """
@@ -106,7 +107,8 @@ def name(self, new_name: str) -> None:
 
     @property
     def display_name(self) -> str:
-        """Get a pretty display name.
+        """
+        Get a pretty display name.
 
         :return: The pretty display name.
         """
@@ -118,7 +120,8 @@ def display_name(self) -> str:
     @display_name.setter
     @property_stack
     def display_name(self, name: str) -> None:
-        """Set the pretty display name.
+        """
+        Set the pretty display name.
 
         :param name: Pretty display name of the object.
         """
@@ -128,7 +131,8 @@ def display_name(self, name: str) -> None:
 
     @property
     def description(self) -> str:
-        """Get the description of the object.
+        """
+        Get the description of the object.
 
         :return: description of the object.
         """
@@ -136,7 +140,8 @@ def description(self) -> str:
 
     @description.setter
     def description(self, description: str) -> None:
-        """Set the description of the object.
+        """
+        Set the description of the object.
 
         :param description: description of the object.
         """
@@ -146,7 +151,8 @@ def description(self, description: str) -> None:
 
     @property
     def url(self) -> str:
-        """Get the url of the object.
+        """
+        Get the url of the object.
 
         :return: url of the object.
         """
@@ -154,7 +160,8 @@ def url(self) -> str:
 
     @url.setter
     def url(self, url: str) -> None:
-        """Set the url of the object.
+        """
+        Set the url of the object.
 
         :param url: url of the object.
         """
@@ -164,7 +171,8 @@ def url(self, url: str) -> None:
 
     @property
     def unique_name(self) -> str:
-        """Get the unique name of this object.
+        """
+        Get the unique name of this object.
 
         :return: Unique name of this object
         """
@@ -172,11 +180,9 @@ def unique_name(self) -> str:
 
     @unique_name.setter
     def unique_name(self, new_unique_name: str):
-        """Set a new unique name for the object. The old name is still
-        kept in the map.
+        """Set a new unique name for the object. The old name is still kept in the map.
 
-        :param new_unique_name: New unique name for the object
-        """
+        :param new_unique_name: New unique name for the object"""
         if not isinstance(new_unique_name, str):
             raise TypeError('Unique name has to be a string.')
         self._unique_name = new_unique_name
diff --git a/src/easyscience/variable/descriptor_bool.py b/src/easyscience/variable/descriptor_bool.py
index 88135d61..72c41cd8 100644
--- a/src/easyscience/variable/descriptor_bool.py
+++ b/src/easyscience/variable/descriptor_bool.py
@@ -1,6 +1,3 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
 from typing import Any
@@ -12,7 +9,9 @@
 
 
 class DescriptorBool(DescriptorBase):
-    """A `Descriptor` for boolean values."""
+    """
+    A `Descriptor` for boolean values.
+    """
 
     def __init__(
         self,
@@ -40,7 +39,8 @@ def __init__(
 
     @property
     def value(self) -> bool:
-        """Get the value of self.
+        """
+        Get the value of self.
 
         :return: Value of self
         """
@@ -49,7 +49,8 @@ def value(self) -> bool:
     @value.setter
     @property_stack
     def value(self, value: bool) -> None:
-        """Set the value of self.
+        """
+        Set the value of self.
 
         :param value: New value of self
         :return: None
diff --git a/src/easyscience/variable/descriptor_number.py b/src/easyscience/variable/descriptor_number.py
index b526afbf..38b233f1 100644
--- a/src/easyscience/variable/descriptor_number.py
+++ b/src/easyscience/variable/descriptor_number.py
@@ -1,6 +1,3 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
 import numbers
@@ -25,7 +22,8 @@
 # Why is this a decorator? Because otherwise we would need a flag on the convert_unit method to avoid
 # infinite recursion. This is a bit cleaner as it avoids the need for a internal only flag on a user method.
 def notify_observers(func):
-    """Decorator to notify observers of a change in the descriptor.
+    """
+    Decorator to notify observers of a change in the descriptor.
 
     :param func: Function to be decorated
     :return: Decorated function
@@ -40,9 +38,8 @@ def wrapper(self, *args, **kwargs):
 
 
 class DescriptorNumber(DescriptorBase):
-    """A `Descriptor` for Number values with units.
-
-    The internal representation is a scipp scalar.
+    """
+    A `Descriptor` for Number values with units.  The internal representation is a scipp scalar.
     """
 
     def __init__(
@@ -58,7 +55,7 @@ def __init__(
         parent: Optional[Any] = None,
         **kwargs: Any,  # Additional keyword arguments (used for (de)serialization)
     ):
-        """Constructor for the DescriptorNumber class.
+        """Constructor for the DescriptorNumber class
 
         param name: Name of the descriptor
         param value: Value of the descriptor
@@ -85,9 +82,7 @@ def __init__(
                 raise ValueError(f'{variance=} must be positive')
             variance = float(variance)
         if not isinstance(unit, sc.Unit) and not isinstance(unit, str):
-            raise TypeError(
-                f'{unit=} must be a scipp unit or a string representing a valid scipp unit'
-            )
+            raise TypeError(f'{unit=} must be a scipp unit or a string representing a valid scipp unit')
         try:
             self._scalar = sc.scalar(float(value), unit=unit, variance=variance)
         except Exception as message:
@@ -107,7 +102,8 @@ def __init__(
 
     @classmethod
     def from_scipp(cls, name: str, full_value: Variable, **kwargs) -> DescriptorNumber:
-        """Create a DescriptorNumber from a scipp constant.
+        """
+        Create a DescriptorNumber from a scipp constant.
 
         :param name: Name of the descriptor
         :param value: Value of the descriptor as a scipp scalar
@@ -118,13 +114,7 @@ def from_scipp(cls, name: str, full_value: Variable, **kwargs) -> DescriptorNumb
             raise TypeError(f'{full_value=} must be a scipp scalar')
         if len(full_value.dims) != 0:
             raise TypeError(f'{full_value=} must be a scipp scalar')
-        return cls(
-            name=name,
-            value=full_value.value,
-            unit=full_value.unit,
-            variance=full_value.variance,
-            **kwargs,
-        )
+        return cls(name=name, value=full_value.value, unit=full_value.unit, variance=full_value.variance, **kwargs)
 
     def _attach_observer(self, observer: DescriptorNumber) -> None:
         """Attach an observer to the descriptor."""
@@ -144,11 +134,9 @@ def _notify_observers(self) -> None:
             observer._update()
 
     def _validate_dependencies(self, origin=None) -> None:
-        """Ping all observers to check if any cyclic dependencies have
-        been introduced.
+        """Ping all observers to check if any cyclic dependencies have been introduced.
 
-        :param origin: Unique_name of the origin of this validation
-            check. Used to avoid cyclic depenencies.
+        :param origin: Unique_name of the origin of this validation check. Used to avoid cyclic depenencies.
         """
         if origin == self.unique_name:
             raise RuntimeError(
@@ -163,8 +151,8 @@ def _validate_dependencies(self, origin=None) -> None:
 
     @property
     def full_value(self) -> Variable:
-        """Get the value of self as a scipp scalar. This is should be
-        usable for most cases.
+        """
+        Get the value of self as a scipp scalar. This is should be usable for most cases.
 
         :return: Value of self with unit.
         """
@@ -178,8 +166,8 @@ def full_value(self, full_value: Variable) -> None:
 
     @property
     def value(self) -> numbers.Number:
-        """Get the value. This should be usable for most cases. The full
-        value can be obtained from `obj.full_value`.
+        """
+        Get the value. This should be usable for most cases. The full value can be obtained from `obj.full_value`.
 
         :return: Value of self with unit.
         """
@@ -189,8 +177,8 @@ def value(self) -> numbers.Number:
     @notify_observers
     @property_stack
     def value(self, value: numbers.Number) -> None:
-        """Set the value of self. This should be usable for most cases.
-        The full value can be obtained from `obj.full_value`.
+        """
+        Set the value of self. This should be usable for most cases. The full value can be obtained from `obj.full_value`.
 
         :param value: New value of self
         """
@@ -200,7 +188,8 @@ def value(self, value: numbers.Number) -> None:
 
     @property
     def unit(self) -> str:
-        """Get the unit.
+        """
+        Get the unit.
 
         :return: Unit as a string.
         """
@@ -217,7 +206,8 @@ def unit(self, unit_str: str) -> None:
 
     @property
     def variance(self) -> float:
-        """Get the variance.
+        """
+        Get the variance.
 
         :return: variance.
         """
@@ -227,7 +217,8 @@ def variance(self) -> float:
     @notify_observers
     @property_stack
     def variance(self, variance_float: float) -> None:
-        """Set the variance.
+        """
+        Set the variance.
 
         :param variance_float: Variance as a float
         """
@@ -241,7 +232,8 @@ def variance(self, variance_float: float) -> None:
 
     @property
     def error(self) -> float:
-        """The standard deviation for the parameter.
+        """
+        The standard deviation for the parameter.
 
         :return: Error associated with parameter
         """
@@ -253,7 +245,8 @@ def error(self) -> float:
     @notify_observers
     @property_stack
     def error(self, value: float) -> None:
-        """Set the standard deviation for the parameter.
+        """
+        Set the standard deviation for the parameter.
 
         :param value: New error value
         """
@@ -270,7 +263,8 @@ def error(self, value: float) -> None:
     # When we convert units internally, we dont want to notify observers as this can cause infinite recursion.
     # Therefore the convert_unit method is split into two methods, a private internal method and a public method.
     def _convert_unit(self, unit_str: str) -> None:
-        """Convert the value from one unit system to another.
+        """
+        Convert the value from one unit system to another.
 
         :param unit_str: New unit in string form
         """
@@ -293,9 +287,7 @@ def set_scalar(obj, scalar):
 
         # Push to undo stack
         self._global_object.stack.push(
-            PropertyStack(
-                self, set_scalar, old_scalar, new_scalar, text=f'Convert unit to {unit_str}'
-            )
+            PropertyStack(self, set_scalar, old_scalar, new_scalar, text=f'Convert unit to {unit_str}')
         )
 
         # Update the scalar
@@ -304,7 +296,8 @@ def set_scalar(obj, scalar):
     # When the user calls convert_unit, we want to notify observers of the change to propagate the change.
     @notify_observers
     def convert_unit(self, unit_str: str) -> None:
-        """Convert the value from one unit system to another.
+        """
+        Convert the value from one unit system to another.
 
         :param unit_str: New unit in string form
         """
@@ -319,9 +312,7 @@ def __repr__(self) -> str:
         string = '<'
         string += self.__class__.__name__ + ' '
         string += f"'{self._name}': "
-        if np.abs(self._scalar.value) > 1e4 or (
-            np.abs(self._scalar.value) < 1e-4 and self._scalar.value != 0
-        ):
+        if np.abs(self._scalar.value) > 1e4 or (np.abs(self._scalar.value) < 1e-4 and self._scalar.value != 0):
             # Use scientific notation for large or small values
             string += f'{self._scalar.value:.3e}'
             if self.variance:
@@ -359,9 +350,7 @@ def __add__(self, other: Union[DescriptorNumber, numbers.Number]) -> DescriptorN
             try:
                 other._convert_unit(self.unit)
             except UnitError:
-                raise UnitError(
-                    f'Values with units {self.unit} and {other.unit} cannot be added'
-                ) from None
+                raise UnitError(f'Values with units {self.unit} and {other.unit} cannot be added') from None
             new_value = self.full_value + other.full_value
             other._convert_unit(original_unit)
         else:
@@ -391,9 +380,7 @@ def __sub__(self, other: Union[DescriptorNumber, numbers.Number]) -> DescriptorN
             try:
                 other._convert_unit(self.unit)
             except UnitError:
-                raise UnitError(
-                    f'Values with units {self.unit} and {other.unit} cannot be subtracted'
-                ) from None
+                raise UnitError(f'Values with units {self.unit} and {other.unit} cannot be subtracted') from None
             new_value = self.full_value - other.full_value
             other._convert_unit(original_unit)
         else:
@@ -506,8 +493,8 @@ def __abs__(self) -> DescriptorNumber:
         return descriptor_number
 
     def _base_unit(self) -> str:
-        """Extract the base unit from the unit string by removing
-        numeric components and scientific notation.
+        """
+        Extract the base unit from the unit string by removing numeric components and scientific notation.
         """
         string = str(self._scalar.unit)
         for i, letter in enumerate(string):
diff --git a/src/easyscience/variable/descriptor_str.py b/src/easyscience/variable/descriptor_str.py
index c6e26f9c..17110166 100644
--- a/src/easyscience/variable/descriptor_str.py
+++ b/src/easyscience/variable/descriptor_str.py
@@ -1,6 +1,3 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from __future__ import annotations
 
 from typing import Any
@@ -12,7 +9,9 @@
 
 
 class DescriptorStr(DescriptorBase):
-    """A `Descriptor` for string values."""
+    """
+    A `Descriptor` for string values.
+    """
 
     def __init__(
         self,
@@ -38,7 +37,8 @@ def __init__(
 
     @property
     def value(self) -> str:
-        """Get the value of self.
+        """
+        Get the value of self.
 
         :return: Value of self with unit.
         """
@@ -47,7 +47,8 @@ def value(self) -> str:
     @value.setter
     @property_stack
     def value(self, value: str) -> None:
-        """Set the value of self.
+        """
+        Set the value of self.
 
         :param value: New value of self
         :return: None
diff --git a/src/easyscience/variable/parameter.py b/src/easyscience/variable/parameter.py
index 36e2c7a3..6ea8d1a6 100644
--- a/src/easyscience/variable/parameter.py
+++ b/src/easyscience/variable/parameter.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from __future__ import annotations
 
@@ -28,9 +29,8 @@
 
 
 class Parameter(DescriptorNumber):
-    """A Parameter is a DescriptorNumber which can be used in fitting.
-
-    It has additional fields to facilitate this.
+    """
+    A Parameter is a DescriptorNumber which can be used in fitting. It has additional fields to facilitate this.
     """
 
     # Used by serializer
@@ -55,10 +55,10 @@ def __init__(
         parent: Optional[Any] = None,
         **kwargs: Any,  # Additional keyword arguments (used for (de)serialization)
     ):
-        """This class is an extension of a `DescriptorNumber`. Where the
-        descriptor was for static objects, a `Parameter` is for dynamic
-        objects. A parameter has the ability to be used in fitting and
-        has additional fields to facilitate this.
+        """
+        This class is an extension of a `DescriptorNumber`. Where the descriptor was for static
+        objects, a `Parameter` is for dynamic objects. A parameter has the ability to be used in fitting and has
+        additional fields to facilitate this.
 
         :param name: Name of this object
         :param value: Value of this object
@@ -91,9 +91,7 @@ def __init__(
         if value > max:
             raise ValueError(f'{value=} can not be greater than {max=}')
         if np.isclose(min, max, rtol=1e-9, atol=0.0):
-            raise ValueError(
-                'The min and max bounds cannot be identical. Please use fixed=True instead to fix the value.'
-            )
+            raise ValueError('The min and max bounds cannot be identical. Please use fixed=True instead to fix the value.')
         if not isinstance(fixed, bool):
             raise TypeError('`fixed` must be either True or False')
         self._independent = True
@@ -130,20 +128,14 @@ def from_dependency(
         desired_unit: str | sc.Unit | None = None,
         **kwargs,
     ) -> Parameter:  # noqa: E501
-        """Create a dependent Parameter directly from a dependency
-        expression.
+        """
+        Create a dependent Parameter directly from a dependency expression.
 
         :param name: The name of the parameter
-        :param dependency_expression: The dependency expression to
-            evaluate. This should be a string which can be evaluated by
-            the ASTEval interpreter.
-        :param dependency_map: A dictionary of dependency expression
-            symbol name and dependency object pairs. This is inserted
-            into the asteval interpreter to resolve dependencies.
-        :param desired_unit: The desired unit of the dependent
-            parameter.
-        :param kwargs: Additional keyword arguments to pass to the
-            Parameter constructor.
+        :param dependency_expression: The dependency expression to evaluate. This should be a string which can be evaluated by the ASTEval interpreter.
+        :param dependency_map: A dictionary of dependency expression symbol name and dependency object pairs. This is inserted into the asteval interpreter to resolve dependencies.
+        :param desired_unit: The desired unit of the dependent parameter.
+        :param kwargs: Additional keyword arguments to pass to the Parameter constructor.
         :return: A new dependent Parameter object.
         """  # noqa: E501
         # Set default values for required parameters for the constructor, they get overwritten by the dependency anyways
@@ -159,10 +151,8 @@ def from_dependency(
         return parameter
 
     def _update(self) -> None:
-        """Update the parameter.
-
-        This is called by the DescriptorNumbers/Parameters who have this
-        Parameter as a dependency.
+        """
+        Update the parameter. This is called by the DescriptorNumbers/Parameters who have this Parameter as a dependency.
         """
         if not self._independent:
             # Update the value of the parameter using the dependency interpreter
@@ -171,14 +161,10 @@ def _update(self) -> None:
             self._scalar.unit = temporary_parameter.unit
             self._scalar.variance = temporary_parameter.variance
             self._min.value = (
-                temporary_parameter.min
-                if isinstance(temporary_parameter, Parameter)
-                else temporary_parameter.value
+                temporary_parameter.min if isinstance(temporary_parameter, Parameter) else temporary_parameter.value
             )  # noqa: E501
             self._max.value = (
-                temporary_parameter.max
-                if isinstance(temporary_parameter, Parameter)
-                else temporary_parameter.value
+                temporary_parameter.max if isinstance(temporary_parameter, Parameter) else temporary_parameter.value
             )  # noqa: E501
             self._min.unit = temporary_parameter.unit
             self._max.unit = temporary_parameter.unit
@@ -196,8 +182,8 @@ def make_dependent_on(
         dependency_map: Optional[dict] = None,
         desired_unit: str | sc.Unit | None = None,
     ) -> None:
-        """Make this parameter dependent on another parameter. This will
-        overwrite the current value, unit, variance, min and max.
+        """
+        Make this parameter dependent on another parameter. This will overwrite the current value, unit, variance, min and max.
 
         How to use the dependency map:
         If a parameter c has a dependency expression of 'a + b', where a and b are parameters belonging to the model class,
@@ -218,11 +204,10 @@ def make_dependent_on(
 
         :param desired_unit:
             The desired unit of the dependent parameter. If None, the default unit of the dependency expression result is used.
+
         """  # noqa: E501
         if not isinstance(dependency_expression, str):
-            raise TypeError(
-                '`dependency_expression` must be a string representing a valid dependency expression.'
-            )
+            raise TypeError('`dependency_expression` must be a string representing a valid dependency expression.')
         if not (isinstance(dependency_map, dict) or dependency_map is None):
             raise TypeError(
                 '`dependency_map` must be a dictionary of dependencies and their'
@@ -257,9 +242,7 @@ def make_dependent_on(
         self._independent = False
         self._dependency_string = dependency_expression
         self._dependency_map = dependency_map if dependency_map is not None else {}
-        if desired_unit is not None and not (
-            isinstance(desired_unit, str) or isinstance(desired_unit, sc.Unit)
-        ):
+        if desired_unit is not None and not (isinstance(desired_unit, str) or isinstance(desired_unit, sc.Unit)):
             raise TypeError('`desired_unit` must be a string representing a valid unit.')
         self._desired_unit = desired_unit
         # List of allowed python constructs for the asteval interpreter
@@ -300,9 +283,7 @@ def make_dependent_on(
             value._attach_observer(self)
         # Check the dependency expression for errors
         try:
-            dependency_result = self._dependency_interpreter.eval(
-                self._clean_dependency_string, raise_errors=True
-            )
+            dependency_result = self._dependency_interpreter.eval(self._clean_dependency_string, raise_errors=True)
         except NameError as message:
             self._revert_dependency()
             raise NameError(
@@ -348,9 +329,9 @@ def make_dependent_on(
         self._update()
 
     def make_independent(self) -> None:
-        """Make this parameter independent. This will remove the
-        dependency expression, the dependency map and the dependency
-        interpreter.
+        """
+        Make this parameter independent.
+        This will remove the dependency expression, the dependency map and the dependency interpreter.
 
         :return: None
         """
@@ -368,7 +349,8 @@ def make_independent(self) -> None:
 
     @property
     def independent(self) -> bool:
-        """Is the parameter independent?
+        """
+        Is the parameter independent?
 
         :return: True = independent, False = dependent
         """
@@ -382,7 +364,8 @@ def independent(self, value: bool) -> None:
 
     @property
     def dependency_expression(self) -> str:
-        """Get the dependency expression of this parameter.
+        """
+        Get the dependency expression of this parameter.
 
         :return: The dependency expression of this parameter.
         """
@@ -399,7 +382,8 @@ def dependency_expression(self, new_expression: str) -> None:
 
     @property
     def dependency_map(self) -> Dict[str, DescriptorNumber]:
-        """Get the dependency map of this parameter.
+        """
+        Get the dependency map of this parameter.
 
         :return: The dependency map of this parameter.
         """
@@ -410,13 +394,12 @@ def dependency_map(self) -> Dict[str, DescriptorNumber]:
 
     @dependency_map.setter
     def dependency_map(self, new_map: Dict[str, DescriptorNumber]) -> None:
-        raise AttributeError(
-            'Dependency map is read-only. Use `make_dependent_on` to change the dependency map.'
-        )
+        raise AttributeError('Dependency map is read-only. Use `make_dependent_on` to change the dependency map.')
 
     @property
     def value_no_call_back(self) -> numbers.Number:
-        """Get the currently hold value of self suppressing call back.
+        """
+        Get the currently hold value of self suppressing call back.
 
         :return: Value of self without unit.
         """
@@ -424,9 +407,9 @@ def value_no_call_back(self) -> numbers.Number:
 
     @property
     def full_value(self) -> Variable:
-        """Get the value of self as a scipp scalar. This is should be
-        usable for most cases. If a scipp scalar is not acceptable then
-        the raw value can be obtained through `obj.value`.
+        """
+        Get the value of self as a scipp scalar. This is should be usable for most cases.
+        If a scipp scalar is not acceptable then the raw value can be obtained through `obj.value`.
 
         :return: Value of self with unit and variance.
         """
@@ -440,7 +423,8 @@ def full_value(self, scalar: Variable) -> None:
 
     @property
     def value(self) -> numbers.Number:
-        """Get the value of self as a Number.
+        """
+        Get the value of self as a Number.
 
         :return: Value of self without unit.
         """
@@ -453,8 +437,8 @@ def value(self) -> numbers.Number:
     @value.setter
     @property_stack
     def value(self, value: numbers.Number) -> None:
-        """Set the value of self. This only updates the value of the
-        scipp scalar.
+        """
+        Set the value of self. This only updates the value of the scipp scalar.
 
         :param value: New value of self
         """
@@ -476,39 +460,35 @@ def value(self, value: numbers.Number) -> None:
             # Notify observers of the change
             self._notify_observers()
         else:
-            raise AttributeError(
-                'This is a dependent parameter, its value cannot be set directly.'
-            )
+            raise AttributeError('This is a dependent parameter, its value cannot be set directly.')
 
     @DescriptorNumber.variance.setter
     def variance(self, variance_float: float) -> None:
-        """Set the variance.
+        """
+        Set the variance.
 
         :param variance_float: Variance as a float
         """
         if self._independent:
             DescriptorNumber.variance.fset(self, variance_float)
         else:
-            raise AttributeError(
-                'This is a dependent parameter, its variance cannot be set directly.'
-            )
+            raise AttributeError('This is a dependent parameter, its variance cannot be set directly.')
 
     @DescriptorNumber.error.setter
     def error(self, value: float) -> None:
-        """Set the standard deviation for the parameter.
+        """
+        Set the standard deviation for the parameter.
 
         :param value: New error value
         """
         if self._independent:
             DescriptorNumber.error.fset(self, value)
         else:
-            raise AttributeError(
-                'This is a dependent parameter, its error cannot be set directly.'
-            )
+            raise AttributeError('This is a dependent parameter, its error cannot be set directly.')
 
     def _convert_unit(self, unit_str: str) -> None:
-        """Perform unit conversion. The value, max and min can change on
-        unit change.
+        """
+        Perform unit conversion. The value, max and min can change on unit change.
 
         :param new_unit: new unit
         :return: None
@@ -520,8 +500,8 @@ def _convert_unit(self, unit_str: str) -> None:
 
     @notify_observers
     def convert_unit(self, unit_str: str) -> None:
-        """Perform unit conversion. The value, max and min can change on
-        unit change.
+        """
+        Perform unit conversion. The value, max and min can change on unit change.
 
         :param new_unit: new unit
         :return: None
@@ -529,16 +509,14 @@ def convert_unit(self, unit_str: str) -> None:
         self._convert_unit(unit_str)
 
     def set_desired_unit(self, unit_str: str | sc.Unit | None) -> None:
-        """Set the desired unit for a dependent Parameter. This will
-        convert the parameter to the desired unit.
+        """
+        Set the desired unit for a dependent Parameter. This will convert the parameter to the desired unit.
 
         :param unit_str: The desired unit as a string.
         """
 
         if self._independent:
-            raise AttributeError(
-                'This is an independent parameter, desired unit can only be set for dependent parameters.'
-            )
+            raise AttributeError('This is an independent parameter, desired unit can only be set for dependent parameters.')
         if not (isinstance(unit_str, str) or isinstance(unit_str, sc.Unit) or unit_str is None):
             raise TypeError('`unit_str` must be a string representing a valid unit.')
 
@@ -547,16 +525,15 @@ def set_desired_unit(self, unit_str: str | sc.Unit | None) -> None:
                 old_unit_for_message = self.unit
                 self._convert_unit(unit_str)
             except Exception as e:
-                raise UnitError(
-                    f'Failed to convert unit from {old_unit_for_message} to {unit_str}: {e}'
-                )
+                raise UnitError(f'Failed to convert unit from {old_unit_for_message} to {unit_str}: {e}')
 
         self._desired_unit = unit_str
         self._update()
 
     @property
     def min(self) -> numbers.Number:
-        """Get the minimum value for fitting.
+        """
+        Get the minimum value for fitting.
 
         :return: minimum value
         """
@@ -576,24 +553,19 @@ def min(self, min_value: numbers.Number) -> None:
             if not isinstance(min_value, numbers.Number):
                 raise TypeError('`min` must be a number')
             if np.isclose(min_value, self._max.value, rtol=1e-9, atol=0.0):
-                raise ValueError(
-                    'The min and max bounds cannot be identical. Please use fixed=True instead to fix the value.'
-                )
+                raise ValueError('The min and max bounds cannot be identical. Please use fixed=True instead to fix the value.')
             if min_value <= self.value:
                 self._min.value = min_value
             else:
-                raise ValueError(
-                    f'The current value ({self.value}) is smaller than the desired min value ({min_value}).'
-                )
+                raise ValueError(f'The current value ({self.value}) is smaller than the desired min value ({min_value}).')
             self._notify_observers()
         else:
-            raise AttributeError(
-                'This is a dependent parameter, its minimum value cannot be set directly.'
-            )
+            raise AttributeError('This is a dependent parameter, its minimum value cannot be set directly.')
 
     @property
     def max(self) -> numbers.Number:
-        """Get the maximum value for fitting.
+        """
+        Get the maximum value for fitting.
 
         :return: maximum value
         """
@@ -613,24 +585,19 @@ def max(self, max_value: numbers.Number) -> None:
             if not isinstance(max_value, numbers.Number):
                 raise TypeError('`max` must be a number')
             if np.isclose(max_value, self._min.value, rtol=1e-9, atol=0.0):
-                raise ValueError(
-                    'The min and max bounds cannot be identical. Please use fixed=True instead to fix the value.'
-                )
+                raise ValueError('The min and max bounds cannot be identical. Please use fixed=True instead to fix the value.')
             if max_value >= self.value:
                 self._max.value = max_value
             else:
-                raise ValueError(
-                    f'The current value ({self.value}) is greater than the desired max value ({max_value}).'
-                )
+                raise ValueError(f'The current value ({self.value}) is greater than the desired max value ({max_value}).')
             self._notify_observers()
         else:
-            raise AttributeError(
-                'This is a dependent parameter, its maximum value cannot be set directly.'
-            )
+            raise AttributeError('This is a dependent parameter, its maximum value cannot be set directly.')
 
     @property
     def fixed(self) -> bool:
-        """Can the parameter vary while fitting?
+        """
+        Can the parameter vary while fitting?
 
         :return: True = fixed, False = can vary
         """
@@ -653,9 +620,7 @@ def fixed(self, fixed: bool) -> None:
             if self._global_object.stack.enabled:
                 # Remove the recorded change from the stack
                 global_object.stack.pop()
-            raise AttributeError(
-                'This is a dependent parameter, dependent parameters cannot be fixed.'
-            )
+            raise AttributeError('This is a dependent parameter, dependent parameters cannot be fixed.')
 
     # Is this alias really needed?
     @property
@@ -667,9 +632,7 @@ def free(self, value: bool) -> None:
         self.fixed = not value
 
     def as_dict(self, skip: Optional[List[str]] = None) -> Dict[str, Any]:
-        """Overwrite the as_dict method to handle dependency
-        information.
-        """
+        """Overwrite the as_dict method to handle dependency information."""
         raw_dict = super().as_dict(skip=skip)
 
         # Add dependency information for dependent parameters
@@ -686,17 +649,13 @@ def as_dict(self, skip: Optional[List[str]] = None) -> Dict[str, Any]:
             # Convert dependency_map to use serializer_ids
             raw_dict['_dependency_map_serializer_ids'] = {}
             for key, obj in self._dependency_map.items():
-                raw_dict['_dependency_map_serializer_ids'][key] = (
-                    obj._DescriptorNumber__serializer_id
-                )
+                raw_dict['_dependency_map_serializer_ids'][key] = obj._DescriptorNumber__serializer_id
 
         return raw_dict
 
     def _revert_dependency(self, skip_detach=False) -> None:
-        """Revert the dependency to the old dependency.
-
-        This is used when an error is raised during setting the
-        dependency.
+        """
+        Revert the dependency to the old dependency. This is used when an error is raised during setting the dependency.
         """
         if self._previous_independent is True:
             self.make_independent()
@@ -712,11 +671,10 @@ def _revert_dependency(self, skip_detach=False) -> None:
         del self._previous_independent
 
     def _process_dependency_unique_names(self, dependency_expression: str):
-        """Add the unique names of the parameters to the ASTEval
-        interpreter. This is used to evaluate the dependency expression.
+        """
+        Add the unique names of the parameters to the ASTEval interpreter. This is used to evaluate the dependency expression.
 
-        :param dependency_expression: The dependency expression to be
-            evaluated
+        :param dependency_expression: The dependency expression to be evaluated
         """
         # Get the unique_names from the expression string regardless of the quotes used
         inputted_unique_names = re.findall("('.+?')", dependency_expression)
@@ -734,9 +692,7 @@ def _process_dependency_unique_names(self, dependency_expression: str):
             dependent_parameter = self._global_object.map.get_item_by_key(stripped_name)
             if isinstance(dependent_parameter, DescriptorNumber):
                 self._dependency_map['__' + stripped_name + '__'] = dependent_parameter
-                clean_dependency_string = clean_dependency_string.replace(
-                    name, '__' + stripped_name + '__'
-                )
+                clean_dependency_string = clean_dependency_string.replace(name, '__' + stripped_name + '__')
             else:
                 raise ValueError(
                     f'The object with unique_name {stripped_name} is not a Parameter or DescriptorNumber. '
@@ -746,8 +702,8 @@ def _process_dependency_unique_names(self, dependency_expression: str):
 
     @classmethod
     def from_dict(cls, obj_dict: dict) -> 'Parameter':
-        """Custom deserialization to handle parameter dependencies.
-
+        """
+        Custom deserialization to handle parameter dependencies.
         Override the parent method to handle dependency information.
         """
         # Extract dependency information before creating the parameter
@@ -777,7 +733,9 @@ def __copy__(self) -> Parameter:
         return new_obj
 
     def __repr__(self) -> str:
-        """Return printable representation of a Parameter object."""
+        """
+        Return printable representation of a Parameter object.
+        """
         super_str = super().__repr__()
         super_str = super_str[:-1]
         s = []
@@ -798,29 +756,19 @@ def __add__(self, other: Union[DescriptorNumber, Parameter, numbers.Number]) ->
             new_full_value = self.full_value + other
             min_value = self.min + other
             max_value = self.max + other
-        elif isinstance(
-            other, DescriptorNumber
-        ):  # Parameter inherits from DescriptorNumber and is also handled here
+        elif isinstance(other, DescriptorNumber):  # Parameter inherits from DescriptorNumber and is also handled here
             other_unit = other.unit
             try:
                 other._convert_unit(self.unit)
             except UnitError:
-                raise UnitError(
-                    f'Values with units {self.unit} and {other.unit} cannot be added'
-                ) from None
+                raise UnitError(f'Values with units {self.unit} and {other.unit} cannot be added') from None
             new_full_value = self.full_value + other.full_value
-            min_value = (
-                self.min + other.min if isinstance(other, Parameter) else self.min + other.value
-            )
-            max_value = (
-                self.max + other.max if isinstance(other, Parameter) else self.max + other.value
-            )
+            min_value = self.min + other.min if isinstance(other, Parameter) else self.min + other.value
+            max_value = self.max + other.max if isinstance(other, Parameter) else self.max + other.value
             other._convert_unit(other_unit)
         else:
             return NotImplemented
-        parameter = Parameter.from_scipp(
-            name=self.name, full_value=new_full_value, min=min_value, max=max_value
-        )
+        parameter = Parameter.from_scipp(name=self.name, full_value=new_full_value, min=min_value, max=max_value)
         parameter.name = parameter.unique_name
         return parameter
 
@@ -831,25 +779,19 @@ def __radd__(self, other: Union[DescriptorNumber, numbers.Number]) -> Parameter:
             new_full_value = self.full_value + other
             min_value = self.min + other
             max_value = self.max + other
-        elif isinstance(
-            other, DescriptorNumber
-        ):  # Parameter inherits from DescriptorNumber and is also handled here
+        elif isinstance(other, DescriptorNumber):  # Parameter inherits from DescriptorNumber and is also handled here
             original_unit = self.unit
             try:
                 self._convert_unit(other.unit)
             except UnitError:
-                raise UnitError(
-                    f'Values with units {other.unit} and {self.unit} cannot be added'
-                ) from None
+                raise UnitError(f'Values with units {other.unit} and {self.unit} cannot be added') from None
             new_full_value = self.full_value + other.full_value
             min_value = self.min + other.value
             max_value = self.max + other.value
             self._convert_unit(original_unit)
         else:
             return NotImplemented
-        parameter = Parameter.from_scipp(
-            name=self.name, full_value=new_full_value, min=min_value, max=max_value
-        )
+        parameter = Parameter.from_scipp(name=self.name, full_value=new_full_value, min=min_value, max=max_value)
         parameter.name = parameter.unique_name
         return parameter
 
@@ -860,16 +802,12 @@ def __sub__(self, other: Union[DescriptorNumber, Parameter, numbers.Number]) ->
             new_full_value = self.full_value - other
             min_value = self.min - other
             max_value = self.max - other
-        elif isinstance(
-            other, DescriptorNumber
-        ):  # Parameter inherits from DescriptorNumber and is also handled here
+        elif isinstance(other, DescriptorNumber):  # Parameter inherits from DescriptorNumber and is also handled here
             other_unit = other.unit
             try:
                 other._convert_unit(self.unit)
             except UnitError:
-                raise UnitError(
-                    f'Values with units {self.unit} and {other.unit} cannot be subtracted'
-                ) from None
+                raise UnitError(f'Values with units {self.unit} and {other.unit} cannot be subtracted') from None
             new_full_value = self.full_value - other.full_value
             if isinstance(other, Parameter):
                 min_value = self.min - other.max if other.max != np.inf else -np.inf
@@ -880,9 +818,7 @@ def __sub__(self, other: Union[DescriptorNumber, Parameter, numbers.Number]) ->
             other._convert_unit(other_unit)
         else:
             return NotImplemented
-        parameter = Parameter.from_scipp(
-            name=self.name, full_value=new_full_value, min=min_value, max=max_value
-        )
+        parameter = Parameter.from_scipp(name=self.name, full_value=new_full_value, min=min_value, max=max_value)
         parameter.name = parameter.unique_name
         return parameter
 
@@ -893,25 +829,19 @@ def __rsub__(self, other: Union[DescriptorNumber, numbers.Number]) -> Parameter:
             new_full_value = other - self.full_value
             min_value = other - self.max
             max_value = other - self.min
-        elif isinstance(
-            other, DescriptorNumber
-        ):  # Parameter inherits from DescriptorNumber and is also handled here
+        elif isinstance(other, DescriptorNumber):  # Parameter inherits from DescriptorNumber and is also handled here
             original_unit = self.unit
             try:
                 self._convert_unit(other.unit)
             except UnitError:
-                raise UnitError(
-                    f'Values with units {other.unit} and {self.unit} cannot be subtracted'
-                ) from None
+                raise UnitError(f'Values with units {other.unit} and {self.unit} cannot be subtracted') from None
             new_full_value = other.full_value - self.full_value
             min_value = other.value - self.max
             max_value = other.value - self.min
             self._convert_unit(original_unit)
         else:
             return NotImplemented
-        parameter = Parameter.from_scipp(
-            name=self.name, full_value=new_full_value, min=min_value, max=max_value
-        )
+        parameter = Parameter.from_scipp(name=self.name, full_value=new_full_value, min=min_value, max=max_value)
         parameter.name = parameter.unique_name
         return parameter
 
@@ -919,22 +849,16 @@ def __mul__(self, other: Union[DescriptorNumber, Parameter, numbers.Number]) ->
         if isinstance(other, numbers.Number):
             new_full_value = self.full_value * other
             if other == 0:
-                descriptor_number = DescriptorNumber.from_scipp(
-                    name=self.name, full_value=new_full_value
-                )
+                descriptor_number = DescriptorNumber.from_scipp(name=self.name, full_value=new_full_value)
                 descriptor_number.name = descriptor_number.unique_name
                 return descriptor_number
             combinations = [self.min * other, self.max * other]
-        elif isinstance(
-            other, DescriptorNumber
-        ):  # Parameter inherits from DescriptorNumber and is also handled here
+        elif isinstance(other, DescriptorNumber):  # Parameter inherits from DescriptorNumber and is also handled here
             new_full_value = self.full_value * other.full_value
             if (
                 other.value == 0 and type(other) is DescriptorNumber
             ):  # Only return DescriptorNumber if other is strictly 0, i.e. not a parameter  # noqa: E501
-                descriptor_number = DescriptorNumber.from_scipp(
-                    name=self.name, full_value=new_full_value
-                )
+                descriptor_number = DescriptorNumber.from_scipp(name=self.name, full_value=new_full_value)
                 descriptor_number.name = descriptor_number.unique_name
                 return descriptor_number
             if isinstance(other, Parameter):
@@ -957,9 +881,7 @@ def __mul__(self, other: Union[DescriptorNumber, Parameter, numbers.Number]) ->
             return NotImplemented
         min_value = min(combinations)
         max_value = max(combinations)
-        parameter = Parameter.from_scipp(
-            name=self.name, full_value=new_full_value, min=min_value, max=max_value
-        )
+        parameter = Parameter.from_scipp(name=self.name, full_value=new_full_value, min=min_value, max=max_value)
         parameter._convert_unit(parameter._base_unit())
         parameter.name = parameter.unique_name
         return parameter
@@ -968,20 +890,14 @@ def __rmul__(self, other: Union[DescriptorNumber, numbers.Number]) -> Parameter:
         if isinstance(other, numbers.Number):
             new_full_value = other * self.full_value
             if other == 0:
-                descriptor_number = DescriptorNumber.from_scipp(
-                    name=self.name, full_value=new_full_value
-                )
+                descriptor_number = DescriptorNumber.from_scipp(name=self.name, full_value=new_full_value)
                 descriptor_number.name = descriptor_number.unique_name
                 return descriptor_number
             combinations = [other * self.min, other * self.max]
-        elif isinstance(
-            other, DescriptorNumber
-        ):  # Parameter inherits from DescriptorNumber and is also handled here
+        elif isinstance(other, DescriptorNumber):  # Parameter inherits from DescriptorNumber and is also handled here
             new_full_value = other.full_value * self.full_value
             if other.value == 0:
-                descriptor_number = DescriptorNumber.from_scipp(
-                    name=self.name, full_value=new_full_value
-                )
+                descriptor_number = DescriptorNumber.from_scipp(name=self.name, full_value=new_full_value)
                 descriptor_number.name = descriptor_number.unique_name
                 return descriptor_number
             combinations = [self.min * other.value, self.max * other.value]
@@ -989,9 +905,7 @@ def __rmul__(self, other: Union[DescriptorNumber, numbers.Number]) -> Parameter:
             return NotImplemented
         min_value = min(combinations)
         max_value = max(combinations)
-        parameter = Parameter.from_scipp(
-            name=self.name, full_value=new_full_value, min=min_value, max=max_value
-        )
+        parameter = Parameter.from_scipp(name=self.name, full_value=new_full_value, min=min_value, max=max_value)
         parameter._convert_unit(parameter._base_unit())
         parameter.name = parameter.unique_name
         return parameter
@@ -1002,9 +916,7 @@ def __truediv__(self, other: Union[DescriptorNumber, Parameter, numbers.Number])
                 raise ZeroDivisionError('Cannot divide by zero')
             new_full_value = self.full_value / other
             combinations = [self.min / other, self.max / other]
-        elif isinstance(
-            other, DescriptorNumber
-        ):  # Parameter inherits from DescriptorNumber and is also handled here
+        elif isinstance(other, DescriptorNumber):  # Parameter inherits from DescriptorNumber and is also handled here
             other_value = other.value
             if other_value == 0:
                 raise ZeroDivisionError('Cannot divide by zero')
@@ -1039,9 +951,7 @@ def __truediv__(self, other: Union[DescriptorNumber, Parameter, numbers.Number])
             return NotImplemented
         min_value = min(combinations)
         max_value = max(combinations)
-        parameter = Parameter.from_scipp(
-            name=self.name, full_value=new_full_value, min=min_value, max=max_value
-        )
+        parameter = Parameter.from_scipp(name=self.name, full_value=new_full_value, min=min_value, max=max_value)
         parameter._convert_unit(parameter._base_unit())
         parameter.name = parameter.unique_name
         return parameter
@@ -1054,20 +964,14 @@ def __rtruediv__(self, other: Union[DescriptorNumber, numbers.Number]) -> Parame
             new_full_value = other / self.full_value
             other_value = other
             if other_value == 0:
-                descriptor_number = DescriptorNumber.from_scipp(
-                    name=self.name, full_value=new_full_value
-                )
+                descriptor_number = DescriptorNumber.from_scipp(name=self.name, full_value=new_full_value)
                 descriptor_number.name = descriptor_number.unique_name
                 return descriptor_number
-        elif isinstance(
-            other, DescriptorNumber
-        ):  # Parameter inherits from DescriptorNumber and is also handled here
+        elif isinstance(other, DescriptorNumber):  # Parameter inherits from DescriptorNumber and is also handled here
             new_full_value = other.full_value / self.full_value
             other_value = other.value
             if other_value == 0:
-                descriptor_number = DescriptorNumber.from_scipp(
-                    name=self.name, full_value=new_full_value
-                )
+                descriptor_number = DescriptorNumber.from_scipp(name=self.name, full_value=new_full_value)
                 descriptor_number.name = descriptor_number.unique_name
                 return descriptor_number
         else:
@@ -1088,9 +992,7 @@ def __rtruediv__(self, other: Union[DescriptorNumber, numbers.Number]) -> Parame
             combinations = [other_value / self.min, other_value / self.max]
         min_value = min(combinations)
         max_value = max(combinations)
-        parameter = Parameter.from_scipp(
-            name=self.name, full_value=new_full_value, min=min_value, max=max_value
-        )
+        parameter = Parameter.from_scipp(name=self.name, full_value=new_full_value, min=min_value, max=max_value)
         parameter._convert_unit(parameter._base_unit())
         parameter.name = parameter.unique_name
         return parameter
@@ -1098,9 +1000,7 @@ def __rtruediv__(self, other: Union[DescriptorNumber, numbers.Number]) -> Parame
     def __pow__(self, other: Union[DescriptorNumber, numbers.Number]) -> Parameter:
         if isinstance(other, numbers.Number):
             exponent = other
-        elif (
-            type(other) is DescriptorNumber
-        ):  # Strictly a DescriptorNumber, We can't raise to the power of a Parameter
+        elif type(other) is DescriptorNumber:  # Strictly a DescriptorNumber, We can't raise to the power of a Parameter
             if other.unit != 'dimensionless':
                 raise UnitError('Exponents must be dimensionless')
             if other.variance is not None:
@@ -1117,9 +1017,7 @@ def __pow__(self, other: Union[DescriptorNumber, numbers.Number]) -> Parameter:
         if np.isnan(new_full_value.value):
             raise ValueError('The result of the exponentiation is not a number')
         if exponent == 0:
-            descriptor_number = DescriptorNumber.from_scipp(
-                name=self.name, full_value=new_full_value
-            )
+            descriptor_number = DescriptorNumber.from_scipp(name=self.name, full_value=new_full_value)
             descriptor_number.name = descriptor_number.unique_name
             return descriptor_number
         elif exponent < 0:
@@ -1143,9 +1041,7 @@ def __pow__(self, other: Union[DescriptorNumber, numbers.Number]) -> Parameter:
             combinations = [combination for combination in combinations if combination >= 0]
         min_value = min(combinations)
         max_value = max(combinations)
-        parameter = Parameter.from_scipp(
-            name=self.name, full_value=new_full_value, min=min_value, max=max_value
-        )
+        parameter = Parameter.from_scipp(name=self.name, full_value=new_full_value, min=min_value, max=max_value)
         parameter.name = parameter.unique_name
         return parameter
 
@@ -1153,9 +1049,7 @@ def __neg__(self) -> Parameter:
         new_full_value = -self.full_value
         min_value = -self.max
         max_value = -self.min
-        parameter = Parameter.from_scipp(
-            name=self.name, full_value=new_full_value, min=min_value, max=max_value
-        )
+        parameter = Parameter.from_scipp(name=self.name, full_value=new_full_value, min=min_value, max=max_value)
         parameter.name = parameter.unique_name
         return parameter
 
@@ -1166,18 +1060,15 @@ def __abs__(self) -> Parameter:
             combinations.append(0.0)
         min_value = min(combinations)
         max_value = max(combinations)
-        parameter = Parameter.from_scipp(
-            name=self.name, full_value=new_full_value, min=min_value, max=max_value
-        )
+        parameter = Parameter.from_scipp(name=self.name, full_value=new_full_value, min=min_value, max=max_value)
         parameter.name = parameter.unique_name
         return parameter
 
     def resolve_pending_dependencies(self) -> None:
         """Resolve pending dependencies after deserialization.
 
-        This method should be called after all parameters have been
-        deserialized to establish dependency relationships using
-        serializer_ids.
+        This method should be called after all parameters have been deserialized
+        to establish dependency relationships using serializer_ids.
         """
         if hasattr(self, '_pending_dependency_string'):
             dependency_string = self._pending_dependency_string
@@ -1192,9 +1083,7 @@ def resolve_pending_dependencies(self) -> None:
                     if dep_obj is not None:
                         dependency_map[key] = dep_obj
                     else:
-                        raise ValueError(
-                            f"Cannot find parameter with serializer_id '{serializer_id}'"
-                        )
+                        raise ValueError(f"Cannot find parameter with serializer_id '{serializer_id}'")
 
             # Establish the dependency relationship
             try:
@@ -1212,13 +1101,9 @@ def resolve_pending_dependencies(self) -> None:
             delattr(self, '_pending_desired_unit')
 
     def _find_parameter_by_serializer_id(self, serializer_id: str) -> Optional['DescriptorNumber']:
-        """Find a parameter by its serializer_id from all parameters in
-        the global map.
-        """
+        """Find a parameter by its serializer_id from all parameters in the global map."""
         for obj in self._global_object.map._store.values():
-            if isinstance(obj, DescriptorNumber) and hasattr(
-                obj, '_DescriptorNumber__serializer_id'
-            ):
+            if isinstance(obj, DescriptorNumber) and hasattr(obj, '_DescriptorNumber__serializer_id'):
                 if obj._DescriptorNumber__serializer_id == serializer_id:
                     return obj
         return None
diff --git a/src/easyscience/variable/parameter_dependency_resolver.py b/src/easyscience/variable/parameter_dependency_resolver.py
index a4a21732..e6b7cbd6 100644
--- a/src/easyscience/variable/parameter_dependency_resolver.py
+++ b/src/easyscience/variable/parameter_dependency_resolver.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2025 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from __future__ import annotations
 
@@ -11,15 +12,13 @@
 
 
 def resolve_all_parameter_dependencies(obj: Any) -> None:
-    """Recursively find all Parameter objects in an object hierarchy and
-    resolve their pending dependencies.
+    """
+    Recursively find all Parameter objects in an object hierarchy and resolve their pending dependencies.
 
-    This function should be called after deserializing a complex object
-    that contains Parameters with dependencies to ensure all dependency
-    relationships are properly established.
+    This function should be called after deserializing a complex object that contains Parameters
+    with dependencies to ensure all dependency relationships are properly established.
 
-    :param obj: The object to search for Parameters (can be a single
-        Parameter, list, dict, or complex object)
+    :param obj: The object to search for Parameters (can be a single Parameter, list, dict, or complex object)
     """
 
     def _collect_parameters(item: Any, parameters: List[Parameter]) -> None:
@@ -79,15 +78,13 @@ def _collect_parameters(item: Any, parameters: List[Parameter]) -> None:
         print(f'Successfully resolved dependencies for {resolved_count} parameter(s).')
 
     if error_count > 0:
-        error_message = (
-            f'Failed to resolve dependencies for {error_count} parameter(s):\n' + '\n'.join(errors)
-        )
+        error_message = f'Failed to resolve dependencies for {error_count} parameter(s):\n' + '\n'.join(errors)
         raise ValueError(error_message)
 
 
 def get_parameters_with_pending_dependencies(obj: Any) -> List[Parameter]:
-    """Find all Parameter objects in an object hierarchy that have
-    pending dependencies.
+    """
+    Find all Parameter objects in an object hierarchy that have pending dependencies.
 
     :param obj: The object to search for Parameters
     :return: List of Parameters with pending dependencies
@@ -95,9 +92,7 @@ def get_parameters_with_pending_dependencies(obj: Any) -> List[Parameter]:
     parameters_with_pending = []
 
     def _collect_pending_parameters(item: Any) -> None:
-        """Recursively collect all Parameter objects with pending
-        dependencies.
-        """
+        """Recursively collect all Parameter objects with pending dependencies."""
         if isinstance(item, Parameter):
             if hasattr(item, '_pending_dependency_string'):
                 parameters_with_pending.append(item)
@@ -131,19 +126,15 @@ def _collect_pending_parameters(item: Any) -> None:
     return parameters_with_pending
 
 
-def deserialize_and_resolve_parameters(
-    params_data: Dict[str, Dict[str, Any]],
-) -> Dict[str, Parameter]:
-    """Deserialize parameters from a dictionary and resolve their
-    dependencies.
+def deserialize_and_resolve_parameters(params_data: Dict[str, Dict[str, Any]]) -> Dict[str, Parameter]:
+    """
+    Deserialize parameters from a dictionary and resolve their dependencies.
 
-    This is a convenience function that combines Parameter.from_dict()
-    deserialization with dependency resolution in a single call.
+    This is a convenience function that combines Parameter.from_dict() deserialization
+    with dependency resolution in a single call.
 
-    :param params_data: Dictionary mapping parameter names to their
-        serialized data
-    :return: Dictionary mapping parameter names to deserialized
-        Parameters with resolved dependencies
+    :param params_data: Dictionary mapping parameter names to their serialized data
+    :return: Dictionary mapping parameter names to deserialized Parameters with resolved dependencies
     """
     # Deserialize all parameters first
     new_params = {}
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 00000000..462d95af
--- /dev/null
+++ b/tests/__init__.py
@@ -0,0 +1,3 @@
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
diff --git a/tests/coord_cython.c b/tests/coord_cython.c
new file mode 100644
index 00000000..ad684bb4
--- /dev/null
+++ b/tests/coord_cython.c
@@ -0,0 +1,27472 @@
+/* Generated by Cython 0.29.21 */
+
+/* BEGIN: Cython Metadata
+{
+    "distutils": {
+        "depends": [],
+        "name": "easyCore.Utils.coord_cython",
+        "sources": [
+            "easyCore/Utils/coord_cython.pyx"
+        ]
+    },
+    "module_name": "easyCore.Utils.coord_cython"
+}
+END: Cython Metadata */
+
+#define PY_SSIZE_T_CLEAN
+#include "Python.h"
+#ifndef Py_PYTHON_H
+    #error Python headers needed to compile C extensions, please install development version of Python.
+#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
+    #error Cython requires Python 2.6+ or Python 3.3+.
+#else
+#define CYTHON_ABI "0_29_21"
+#define CYTHON_HEX_VERSION 0x001D15F0
+#define CYTHON_FUTURE_DIVISION 0
+#include <stddef.h>
+#ifndef offsetof
+  #define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
+#endif
+#if !defined(WIN32) && !defined(MS_WINDOWS)
+  #ifndef __stdcall
+    #define __stdcall
+  #endif
+  #ifndef __cdecl
+    #define __cdecl
+  #endif
+  #ifndef __fastcall
+    #define __fastcall
+  #endif
+#endif
+#ifndef DL_IMPORT
+  #define DL_IMPORT(t) t
+#endif
+#ifndef DL_EXPORT
+  #define DL_EXPORT(t) t
+#endif
+#define __PYX_COMMA ,
+#ifndef HAVE_LONG_LONG
+  #if PY_VERSION_HEX >= 0x02070000
+    #define HAVE_LONG_LONG
+  #endif
+#endif
+#ifndef PY_LONG_LONG
+  #define PY_LONG_LONG LONG_LONG
+#endif
+#ifndef Py_HUGE_VAL
+  #define Py_HUGE_VAL HUGE_VAL
+#endif
+#ifdef PYPY_VERSION
+  #define CYTHON_COMPILING_IN_PYPY 1
+  #define CYTHON_COMPILING_IN_PYSTON 0
+  #define CYTHON_COMPILING_IN_CPYTHON 0
+  #undef CYTHON_USE_TYPE_SLOTS
+  #define CYTHON_USE_TYPE_SLOTS 0
+  #undef CYTHON_USE_PYTYPE_LOOKUP
+  #define CYTHON_USE_PYTYPE_LOOKUP 0
+  #if PY_VERSION_HEX < 0x03050000
+    #undef CYTHON_USE_ASYNC_SLOTS
+    #define CYTHON_USE_ASYNC_SLOTS 0
+  #elif !defined(CYTHON_USE_ASYNC_SLOTS)
+    #define CYTHON_USE_ASYNC_SLOTS 1
+  #endif
+  #undef CYTHON_USE_PYLIST_INTERNALS
+  #define CYTHON_USE_PYLIST_INTERNALS 0
+  #undef CYTHON_USE_UNICODE_INTERNALS
+  #define CYTHON_USE_UNICODE_INTERNALS 0
+  #undef CYTHON_USE_UNICODE_WRITER
+  #define CYTHON_USE_UNICODE_WRITER 0
+  #undef CYTHON_USE_PYLONG_INTERNALS
+  #define CYTHON_USE_PYLONG_INTERNALS 0
+  #undef CYTHON_AVOID_BORROWED_REFS
+  #define CYTHON_AVOID_BORROWED_REFS 1
+  #undef CYTHON_ASSUME_SAFE_MACROS
+  #define CYTHON_ASSUME_SAFE_MACROS 0
+  #undef CYTHON_UNPACK_METHODS
+  #define CYTHON_UNPACK_METHODS 0
+  #undef CYTHON_FAST_THREAD_STATE
+  #define CYTHON_FAST_THREAD_STATE 0
+  #undef CYTHON_FAST_PYCALL
+  #define CYTHON_FAST_PYCALL 0
+  #undef CYTHON_PEP489_MULTI_PHASE_INIT
+  #define CYTHON_PEP489_MULTI_PHASE_INIT 0
+  #undef CYTHON_USE_TP_FINALIZE
+  #define CYTHON_USE_TP_FINALIZE 0
+  #undef CYTHON_USE_DICT_VERSIONS
+  #define CYTHON_USE_DICT_VERSIONS 0
+  #undef CYTHON_USE_EXC_INFO_STACK
+  #define CYTHON_USE_EXC_INFO_STACK 0
+#elif defined(PYSTON_VERSION)
+  #define CYTHON_COMPILING_IN_PYPY 0
+  #define CYTHON_COMPILING_IN_PYSTON 1
+  #define CYTHON_COMPILING_IN_CPYTHON 0
+  #ifndef CYTHON_USE_TYPE_SLOTS
+    #define CYTHON_USE_TYPE_SLOTS 1
+  #endif
+  #undef CYTHON_USE_PYTYPE_LOOKUP
+  #define CYTHON_USE_PYTYPE_LOOKUP 0
+  #undef CYTHON_USE_ASYNC_SLOTS
+  #define CYTHON_USE_ASYNC_SLOTS 0
+  #undef CYTHON_USE_PYLIST_INTERNALS
+  #define CYTHON_USE_PYLIST_INTERNALS 0
+  #ifndef CYTHON_USE_UNICODE_INTERNALS
+    #define CYTHON_USE_UNICODE_INTERNALS 1
+  #endif
+  #undef CYTHON_USE_UNICODE_WRITER
+  #define CYTHON_USE_UNICODE_WRITER 0
+  #undef CYTHON_USE_PYLONG_INTERNALS
+  #define CYTHON_USE_PYLONG_INTERNALS 0
+  #ifndef CYTHON_AVOID_BORROWED_REFS
+    #define CYTHON_AVOID_BORROWED_REFS 0
+  #endif
+  #ifndef CYTHON_ASSUME_SAFE_MACROS
+    #define CYTHON_ASSUME_SAFE_MACROS 1
+  #endif
+  #ifndef CYTHON_UNPACK_METHODS
+    #define CYTHON_UNPACK_METHODS 1
+  #endif
+  #undef CYTHON_FAST_THREAD_STATE
+  #define CYTHON_FAST_THREAD_STATE 0
+  #undef CYTHON_FAST_PYCALL
+  #define CYTHON_FAST_PYCALL 0
+  #undef CYTHON_PEP489_MULTI_PHASE_INIT
+  #define CYTHON_PEP489_MULTI_PHASE_INIT 0
+  #undef CYTHON_USE_TP_FINALIZE
+  #define CYTHON_USE_TP_FINALIZE 0
+  #undef CYTHON_USE_DICT_VERSIONS
+  #define CYTHON_USE_DICT_VERSIONS 0
+  #undef CYTHON_USE_EXC_INFO_STACK
+  #define CYTHON_USE_EXC_INFO_STACK 0
+#else
+  #define CYTHON_COMPILING_IN_PYPY 0
+  #define CYTHON_COMPILING_IN_PYSTON 0
+  #define CYTHON_COMPILING_IN_CPYTHON 1
+  #ifndef CYTHON_USE_TYPE_SLOTS
+    #define CYTHON_USE_TYPE_SLOTS 1
+  #endif
+  #if PY_VERSION_HEX < 0x02070000
+    #undef CYTHON_USE_PYTYPE_LOOKUP
+    #define CYTHON_USE_PYTYPE_LOOKUP 0
+  #elif !defined(CYTHON_USE_PYTYPE_LOOKUP)
+    #define CYTHON_USE_PYTYPE_LOOKUP 1
+  #endif
+  #if PY_MAJOR_VERSION < 3
+    #undef CYTHON_USE_ASYNC_SLOTS
+    #define CYTHON_USE_ASYNC_SLOTS 0
+  #elif !defined(CYTHON_USE_ASYNC_SLOTS)
+    #define CYTHON_USE_ASYNC_SLOTS 1
+  #endif
+  #if PY_VERSION_HEX < 0x02070000
+    #undef CYTHON_USE_PYLONG_INTERNALS
+    #define CYTHON_USE_PYLONG_INTERNALS 0
+  #elif !defined(CYTHON_USE_PYLONG_INTERNALS)
+    #define CYTHON_USE_PYLONG_INTERNALS 1
+  #endif
+  #ifndef CYTHON_USE_PYLIST_INTERNALS
+    #define CYTHON_USE_PYLIST_INTERNALS 1
+  #endif
+  #ifndef CYTHON_USE_UNICODE_INTERNALS
+    #define CYTHON_USE_UNICODE_INTERNALS 1
+  #endif
+  #if PY_VERSION_HEX < 0x030300F0
+    #undef CYTHON_USE_UNICODE_WRITER
+    #define CYTHON_USE_UNICODE_WRITER 0
+  #elif !defined(CYTHON_USE_UNICODE_WRITER)
+    #define CYTHON_USE_UNICODE_WRITER 1
+  #endif
+  #ifndef CYTHON_AVOID_BORROWED_REFS
+    #define CYTHON_AVOID_BORROWED_REFS 0
+  #endif
+  #ifndef CYTHON_ASSUME_SAFE_MACROS
+    #define CYTHON_ASSUME_SAFE_MACROS 1
+  #endif
+  #ifndef CYTHON_UNPACK_METHODS
+    #define CYTHON_UNPACK_METHODS 1
+  #endif
+  #ifndef CYTHON_FAST_THREAD_STATE
+    #define CYTHON_FAST_THREAD_STATE 1
+  #endif
+  #ifndef CYTHON_FAST_PYCALL
+    #define CYTHON_FAST_PYCALL 1
+  #endif
+  #ifndef CYTHON_PEP489_MULTI_PHASE_INIT
+    #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000)
+  #endif
+  #ifndef CYTHON_USE_TP_FINALIZE
+    #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
+  #endif
+  #ifndef CYTHON_USE_DICT_VERSIONS
+    #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1)
+  #endif
+  #ifndef CYTHON_USE_EXC_INFO_STACK
+    #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3)
+  #endif
+#endif
+#if !defined(CYTHON_FAST_PYCCALL)
+#define CYTHON_FAST_PYCCALL  (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
+#endif
+#if CYTHON_USE_PYLONG_INTERNALS
+  #include "longintrepr.h"
+  #undef SHIFT
+  #undef BASE
+  #undef MASK
+  #ifdef SIZEOF_VOID_P
+    enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) };
+  #endif
+#endif
+#ifndef __has_attribute
+  #define __has_attribute(x) 0
+#endif
+#ifndef __has_cpp_attribute
+  #define __has_cpp_attribute(x) 0
+#endif
+#ifndef CYTHON_RESTRICT
+  #if defined(__GNUC__)
+    #define CYTHON_RESTRICT __restrict__
+  #elif defined(_MSC_VER) && _MSC_VER >= 1400
+    #define CYTHON_RESTRICT __restrict
+  #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
+    #define CYTHON_RESTRICT restrict
+  #else
+    #define CYTHON_RESTRICT
+  #endif
+#endif
+#ifndef CYTHON_UNUSED
+# if defined(__GNUC__)
+#   if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
+#     define CYTHON_UNUSED __attribute__ ((__unused__))
+#   else
+#     define CYTHON_UNUSED
+#   endif
+# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
+#   define CYTHON_UNUSED __attribute__ ((__unused__))
+# else
+#   define CYTHON_UNUSED
+# endif
+#endif
+#ifndef CYTHON_MAYBE_UNUSED_VAR
+#  if defined(__cplusplus)
+     template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }
+#  else
+#    define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)
+#  endif
+#endif
+#ifndef CYTHON_NCP_UNUSED
+# if CYTHON_COMPILING_IN_CPYTHON
+#  define CYTHON_NCP_UNUSED
+# else
+#  define CYTHON_NCP_UNUSED CYTHON_UNUSED
+# endif
+#endif
+#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
+#ifdef _MSC_VER
+    #ifndef _MSC_STDINT_H_
+        #if _MSC_VER < 1300
+           typedef unsigned char     uint8_t;
+           typedef unsigned int      uint32_t;
+        #else
+           typedef unsigned __int8   uint8_t;
+           typedef unsigned __int32  uint32_t;
+        #endif
+    #endif
+#else
+   #include <stdint.h>
+#endif
+#ifndef CYTHON_FALLTHROUGH
+  #if defined(__cplusplus) && __cplusplus >= 201103L
+    #if __has_cpp_attribute(fallthrough)
+      #define CYTHON_FALLTHROUGH [[fallthrough]]
+    #elif __has_cpp_attribute(clang::fallthrough)
+      #define CYTHON_FALLTHROUGH [[clang::fallthrough]]
+    #elif __has_cpp_attribute(gnu::fallthrough)
+      #define CYTHON_FALLTHROUGH [[gnu::fallthrough]]
+    #endif
+  #endif
+  #ifndef CYTHON_FALLTHROUGH
+    #if __has_attribute(fallthrough)
+      #define CYTHON_FALLTHROUGH __attribute__((fallthrough))
+    #else
+      #define CYTHON_FALLTHROUGH
+    #endif
+  #endif
+  #if defined(__clang__ ) && defined(__apple_build_version__)
+    #if __apple_build_version__ < 7000000
+      #undef  CYTHON_FALLTHROUGH
+      #define CYTHON_FALLTHROUGH
+    #endif
+  #endif
+#endif
+
+#ifndef CYTHON_INLINE
+  #if defined(__clang__)
+    #define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
+  #elif defined(__GNUC__)
+    #define CYTHON_INLINE __inline__
+  #elif defined(_MSC_VER)
+    #define CYTHON_INLINE __inline
+  #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
+    #define CYTHON_INLINE inline
+  #else
+    #define CYTHON_INLINE
+  #endif
+#endif
+
+#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
+  #define Py_OptimizeFlag 0
+#endif
+#define __PYX_BUILD_PY_SSIZE_T "n"
+#define CYTHON_FORMAT_SSIZE_T "z"
+#if PY_MAJOR_VERSION < 3
+  #define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
+  #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
+          PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
+  #define __Pyx_DefaultClassType PyClass_Type
+#else
+  #define __Pyx_BUILTIN_MODULE_NAME "builtins"
+#if PY_VERSION_HEX >= 0x030800A4 && PY_VERSION_HEX < 0x030800B2
+  #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
+          PyCode_New(a, 0, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
+#else
+  #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
+          PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
+#endif
+  #define __Pyx_DefaultClassType PyType_Type
+#endif
+#ifndef Py_TPFLAGS_CHECKTYPES
+  #define Py_TPFLAGS_CHECKTYPES 0
+#endif
+#ifndef Py_TPFLAGS_HAVE_INDEX
+  #define Py_TPFLAGS_HAVE_INDEX 0
+#endif
+#ifndef Py_TPFLAGS_HAVE_NEWBUFFER
+  #define Py_TPFLAGS_HAVE_NEWBUFFER 0
+#endif
+#ifndef Py_TPFLAGS_HAVE_FINALIZE
+  #define Py_TPFLAGS_HAVE_FINALIZE 0
+#endif
+#ifndef METH_STACKLESS
+  #define METH_STACKLESS 0
+#endif
+#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL)
+  #ifndef METH_FASTCALL
+     #define METH_FASTCALL 0x80
+  #endif
+  typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs);
+  typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args,
+                                                          Py_ssize_t nargs, PyObject *kwnames);
+#else
+  #define __Pyx_PyCFunctionFast _PyCFunctionFast
+  #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords
+#endif
+#if CYTHON_FAST_PYCCALL
+#define __Pyx_PyFastCFunction_Check(func)\
+    ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)))))
+#else
+#define __Pyx_PyFastCFunction_Check(func) 0
+#endif
+#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)
+  #define PyObject_Malloc(s)   PyMem_Malloc(s)
+  #define PyObject_Free(p)     PyMem_Free(p)
+  #define PyObject_Realloc(p)  PyMem_Realloc(p)
+#endif
+#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1
+  #define PyMem_RawMalloc(n)           PyMem_Malloc(n)
+  #define PyMem_RawRealloc(p, n)       PyMem_Realloc(p, n)
+  #define PyMem_RawFree(p)             PyMem_Free(p)
+#endif
+#if CYTHON_COMPILING_IN_PYSTON
+  #define __Pyx_PyCode_HasFreeVars(co)  PyCode_HasFreeVars(co)
+  #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)
+#else
+  #define __Pyx_PyCode_HasFreeVars(co)  (PyCode_GetNumFree(co) > 0)
+  #define __Pyx_PyFrame_SetLineNumber(frame, lineno)  (frame)->f_lineno = (lineno)
+#endif
+#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000
+  #define __Pyx_PyThreadState_Current PyThreadState_GET()
+#elif PY_VERSION_HEX >= 0x03060000
+  #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()
+#elif PY_VERSION_HEX >= 0x03000000
+  #define __Pyx_PyThreadState_Current PyThreadState_GET()
+#else
+  #define __Pyx_PyThreadState_Current _PyThreadState_Current
+#endif
+#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT)
+#include "pythread.h"
+#define Py_tss_NEEDS_INIT 0
+typedef int Py_tss_t;
+static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {
+  *key = PyThread_create_key();
+  return 0;
+}
+static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) {
+  Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));
+  *key = Py_tss_NEEDS_INIT;
+  return key;
+}
+static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {
+  PyObject_Free(key);
+}
+static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {
+  return *key != Py_tss_NEEDS_INIT;
+}
+static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {
+  PyThread_delete_key(*key);
+  *key = Py_tss_NEEDS_INIT;
+}
+static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) {
+  return PyThread_set_key_value(*key, value);
+}
+static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) {
+  return PyThread_get_key_value(*key);
+}
+#endif
+#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)
+#define __Pyx_PyDict_NewPresized(n)  ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))
+#else
+#define __Pyx_PyDict_NewPresized(n)  PyDict_New()
+#endif
+#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION
+  #define __Pyx_PyNumber_Divide(x,y)         PyNumber_TrueDivide(x,y)
+  #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceTrueDivide(x,y)
+#else
+  #define __Pyx_PyNumber_Divide(x,y)         PyNumber_Divide(x,y)
+  #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceDivide(x,y)
+#endif
+#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS
+#define __Pyx_PyDict_GetItemStr(dict, name)  _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)
+#else
+#define __Pyx_PyDict_GetItemStr(dict, name)  PyDict_GetItem(dict, name)
+#endif
+#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
+  #define CYTHON_PEP393_ENABLED 1
+  #define __Pyx_PyUnicode_READY(op)       (likely(PyUnicode_IS_READY(op)) ?\
+                                              0 : _PyUnicode_Ready((PyObject *)(op)))
+  #define __Pyx_PyUnicode_GET_LENGTH(u)   PyUnicode_GET_LENGTH(u)
+  #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
+  #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u)   PyUnicode_MAX_CHAR_VALUE(u)
+  #define __Pyx_PyUnicode_KIND(u)         PyUnicode_KIND(u)
+  #define __Pyx_PyUnicode_DATA(u)         PyUnicode_DATA(u)
+  #define __Pyx_PyUnicode_READ(k, d, i)   PyUnicode_READ(k, d, i)
+  #define __Pyx_PyUnicode_WRITE(k, d, i, ch)  PyUnicode_WRITE(k, d, i, ch)
+  #if defined(PyUnicode_IS_READY) && defined(PyUnicode_GET_SIZE)
+  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
+  #else
+  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != PyUnicode_GET_LENGTH(u))
+  #endif
+#else
+  #define CYTHON_PEP393_ENABLED 0
+  #define PyUnicode_1BYTE_KIND  1
+  #define PyUnicode_2BYTE_KIND  2
+  #define PyUnicode_4BYTE_KIND  4
+  #define __Pyx_PyUnicode_READY(op)       (0)
+  #define __Pyx_PyUnicode_GET_LENGTH(u)   PyUnicode_GET_SIZE(u)
+  #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))
+  #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u)   ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)
+  #define __Pyx_PyUnicode_KIND(u)         (sizeof(Py_UNICODE))
+  #define __Pyx_PyUnicode_DATA(u)         ((void*)PyUnicode_AS_UNICODE(u))
+  #define __Pyx_PyUnicode_READ(k, d, i)   ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))
+  #define __Pyx_PyUnicode_WRITE(k, d, i, ch)  (((void)(k)), ((Py_UNICODE*)d)[i] = ch)
+  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != PyUnicode_GET_SIZE(u))
+#endif
+#if CYTHON_COMPILING_IN_PYPY
+  #define __Pyx_PyUnicode_Concat(a, b)      PyNumber_Add(a, b)
+  #define __Pyx_PyUnicode_ConcatSafe(a, b)  PyNumber_Add(a, b)
+#else
+  #define __Pyx_PyUnicode_Concat(a, b)      PyUnicode_Concat(a, b)
+  #define __Pyx_PyUnicode_ConcatSafe(a, b)  ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\
+      PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))
+#endif
+#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)
+  #define PyUnicode_Contains(u, s)  PySequence_Contains(u, s)
+#endif
+#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)
+  #define PyByteArray_Check(obj)  PyObject_TypeCheck(obj, &PyByteArray_Type)
+#endif
+#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)
+  #define PyObject_Format(obj, fmt)  PyObject_CallMethod(obj, "__format__", "O", fmt)
+#endif
+#define __Pyx_PyString_FormatSafe(a, b)   ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
+#define __Pyx_PyUnicode_FormatSafe(a, b)  ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
+#if PY_MAJOR_VERSION >= 3
+  #define __Pyx_PyString_Format(a, b)  PyUnicode_Format(a, b)
+#else
+  #define __Pyx_PyString_Format(a, b)  PyString_Format(a, b)
+#endif
+#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)
+  #define PyObject_ASCII(o)            PyObject_Repr(o)
+#endif
+#if PY_MAJOR_VERSION >= 3
+  #define PyBaseString_Type            PyUnicode_Type
+  #define PyStringObject               PyUnicodeObject
+  #define PyString_Type                PyUnicode_Type
+  #define PyString_Check               PyUnicode_Check
+  #define PyString_CheckExact          PyUnicode_CheckExact
+#ifndef PyObject_Unicode
+  #define PyObject_Unicode             PyObject_Str
+#endif
+#endif
+#if PY_MAJOR_VERSION >= 3
+  #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
+  #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
+#else
+  #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
+  #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
+#endif
+#ifndef PySet_CheckExact
+  #define PySet_CheckExact(obj)        (Py_TYPE(obj) == &PySet_Type)
+#endif
+#if PY_VERSION_HEX >= 0x030900A4
+  #define __Pyx_SET_REFCNT(obj, refcnt) Py_SET_REFCNT(obj, refcnt)
+  #define __Pyx_SET_SIZE(obj, size) Py_SET_SIZE(obj, size)
+#else
+  #define __Pyx_SET_REFCNT(obj, refcnt) Py_REFCNT(obj) = (refcnt)
+  #define __Pyx_SET_SIZE(obj, size) Py_SIZE(obj) = (size)
+#endif
+#if CYTHON_ASSUME_SAFE_MACROS
+  #define __Pyx_PySequence_SIZE(seq)  Py_SIZE(seq)
+#else
+  #define __Pyx_PySequence_SIZE(seq)  PySequence_Size(seq)
+#endif
+#if PY_MAJOR_VERSION >= 3
+  #define PyIntObject                  PyLongObject
+  #define PyInt_Type                   PyLong_Type
+  #define PyInt_Check(op)              PyLong_Check(op)
+  #define PyInt_CheckExact(op)         PyLong_CheckExact(op)
+  #define PyInt_FromString             PyLong_FromString
+  #define PyInt_FromUnicode            PyLong_FromUnicode
+  #define PyInt_FromLong               PyLong_FromLong
+  #define PyInt_FromSize_t             PyLong_FromSize_t
+  #define PyInt_FromSsize_t            PyLong_FromSsize_t
+  #define PyInt_AsLong                 PyLong_AsLong
+  #define PyInt_AS_LONG                PyLong_AS_LONG
+  #define PyInt_AsSsize_t              PyLong_AsSsize_t
+  #define PyInt_AsUnsignedLongMask     PyLong_AsUnsignedLongMask
+  #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
+  #define PyNumber_Int                 PyNumber_Long
+#endif
+#if PY_MAJOR_VERSION >= 3
+  #define PyBoolObject                 PyLongObject
+#endif
+#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
+  #ifndef PyUnicode_InternFromString
+    #define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
+  #endif
+#endif
+#if PY_VERSION_HEX < 0x030200A4
+  typedef long Py_hash_t;
+  #define __Pyx_PyInt_FromHash_t PyInt_FromLong
+  #define __Pyx_PyInt_AsHash_t   PyInt_AsLong
+#else
+  #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
+  #define __Pyx_PyInt_AsHash_t   PyInt_AsSsize_t
+#endif
+#if PY_MAJOR_VERSION >= 3
+  #define __Pyx_PyMethod_New(func, self, klass) ((self) ? ((void)(klass), PyMethod_New(func, self)) : __Pyx_NewRef(func))
+#else
+  #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
+#endif
+#if CYTHON_USE_ASYNC_SLOTS
+  #if PY_VERSION_HEX >= 0x030500B1
+    #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
+    #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
+  #else
+    #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
+  #endif
+#else
+  #define __Pyx_PyType_AsAsync(obj) NULL
+#endif
+#ifndef __Pyx_PyAsyncMethodsStruct
+    typedef struct {
+        unaryfunc am_await;
+        unaryfunc am_aiter;
+        unaryfunc am_anext;
+    } __Pyx_PyAsyncMethodsStruct;
+#endif
+
+#if defined(WIN32) || defined(MS_WINDOWS)
+  #define _USE_MATH_DEFINES
+#endif
+#include <math.h>
+#ifdef NAN
+#define __PYX_NAN() ((float) NAN)
+#else
+static CYTHON_INLINE float __PYX_NAN() {
+  float value;
+  memset(&value, 0xFF, sizeof(value));
+  return value;
+}
+#endif
+#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
+#define __Pyx_truncl trunc
+#else
+#define __Pyx_truncl truncl
+#endif
+
+#define __PYX_MARK_ERR_POS(f_index, lineno) \
+    { __pyx_filename = __pyx_f[f_index]; (void)__pyx_filename; __pyx_lineno = lineno; (void)__pyx_lineno; __pyx_clineno = __LINE__; (void)__pyx_clineno; }
+#define __PYX_ERR(f_index, lineno, Ln_error) \
+    { __PYX_MARK_ERR_POS(f_index, lineno) goto Ln_error; }
+
+#ifndef __PYX_EXTERN_C
+  #ifdef __cplusplus
+    #define __PYX_EXTERN_C extern "C"
+  #else
+    #define __PYX_EXTERN_C extern
+  #endif
+#endif
+
+#define __PYX_HAVE__easyCore__Utils__coord_cython
+#define __PYX_HAVE_API__easyCore__Utils__coord_cython
+/* Early includes */
+#include <string.h>
+#include <stdlib.h>
+#include <math.h>
+#include <stdio.h>
+#include "numpy/arrayobject.h"
+#include "numpy/ufuncobject.h"
+
+    /* NumPy API declarations from "numpy/__init__.pxd" */
+    
+#include "pythread.h"
+#include "pystate.h"
+#ifdef _OPENMP
+#include <omp.h>
+#endif /* _OPENMP */
+
+#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
+#define CYTHON_WITHOUT_ASSERTIONS
+#endif
+
+typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
+                const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;
+
+#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
+#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0
+#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)
+#define __PYX_DEFAULT_STRING_ENCODING ""
+#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
+#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
+#define __Pyx_uchar_cast(c) ((unsigned char)c)
+#define __Pyx_long_cast(x) ((long)x)
+#define __Pyx_fits_Py_ssize_t(v, type, is_signed)  (\
+    (sizeof(type) < sizeof(Py_ssize_t))  ||\
+    (sizeof(type) > sizeof(Py_ssize_t) &&\
+          likely(v < (type)PY_SSIZE_T_MAX ||\
+                 v == (type)PY_SSIZE_T_MAX)  &&\
+          (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
+                                v == (type)PY_SSIZE_T_MIN)))  ||\
+    (sizeof(type) == sizeof(Py_ssize_t) &&\
+          (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\
+                               v == (type)PY_SSIZE_T_MAX)))  )
+static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {
+    return (size_t) i < (size_t) limit;
+}
+#if defined (__cplusplus) && __cplusplus >= 201103L
+    #include <cstdlib>
+    #define __Pyx_sst_abs(value) std::abs(value)
+#elif SIZEOF_INT >= SIZEOF_SIZE_T
+    #define __Pyx_sst_abs(value) abs(value)
+#elif SIZEOF_LONG >= SIZEOF_SIZE_T
+    #define __Pyx_sst_abs(value) labs(value)
+#elif defined (_MSC_VER)
+    #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
+#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
+    #define __Pyx_sst_abs(value) llabs(value)
+#elif defined (__GNUC__)
+    #define __Pyx_sst_abs(value) __builtin_llabs(value)
+#else
+    #define __Pyx_sst_abs(value) ((value<0) ? -value : value)
+#endif
+static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
+static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
+#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
+#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
+#define __Pyx_PyBytes_FromString        PyBytes_FromString
+#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
+static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
+#if PY_MAJOR_VERSION < 3
+    #define __Pyx_PyStr_FromString        __Pyx_PyBytes_FromString
+    #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
+#else
+    #define __Pyx_PyStr_FromString        __Pyx_PyUnicode_FromString
+    #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
+#endif
+#define __Pyx_PyBytes_AsWritableString(s)     ((char*) PyBytes_AS_STRING(s))
+#define __Pyx_PyBytes_AsWritableSString(s)    ((signed char*) PyBytes_AS_STRING(s))
+#define __Pyx_PyBytes_AsWritableUString(s)    ((unsigned char*) PyBytes_AS_STRING(s))
+#define __Pyx_PyBytes_AsString(s)     ((const char*) PyBytes_AS_STRING(s))
+#define __Pyx_PyBytes_AsSString(s)    ((const signed char*) PyBytes_AS_STRING(s))
+#define __Pyx_PyBytes_AsUString(s)    ((const unsigned char*) PyBytes_AS_STRING(s))
+#define __Pyx_PyObject_AsWritableString(s)    ((char*) __Pyx_PyObject_AsString(s))
+#define __Pyx_PyObject_AsWritableSString(s)    ((signed char*) __Pyx_PyObject_AsString(s))
+#define __Pyx_PyObject_AsWritableUString(s)    ((unsigned char*) __Pyx_PyObject_AsString(s))
+#define __Pyx_PyObject_AsSString(s)    ((const signed char*) __Pyx_PyObject_AsString(s))
+#define __Pyx_PyObject_AsUString(s)    ((const unsigned char*) __Pyx_PyObject_AsString(s))
+#define __Pyx_PyObject_FromCString(s)  __Pyx_PyObject_FromString((const char*)s)
+#define __Pyx_PyBytes_FromCString(s)   __Pyx_PyBytes_FromString((const char*)s)
+#define __Pyx_PyByteArray_FromCString(s)   __Pyx_PyByteArray_FromString((const char*)s)
+#define __Pyx_PyStr_FromCString(s)     __Pyx_PyStr_FromString((const char*)s)
+#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
+static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
+    const Py_UNICODE *u_end = u;
+    while (*u_end++) ;
+    return (size_t)(u_end - u - 1);
+}
+#define __Pyx_PyUnicode_FromUnicode(u)       PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
+#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
+#define __Pyx_PyUnicode_AsUnicode            PyUnicode_AsUnicode
+#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
+#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
+static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);
+static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
+static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);
+static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
+#define __Pyx_PySequence_Tuple(obj)\
+    (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
+static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
+static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
+#if CYTHON_ASSUME_SAFE_MACROS
+#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
+#else
+#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
+#endif
+#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
+#if PY_MAJOR_VERSION >= 3
+#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
+#else
+#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
+#endif
+#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
+#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
+static int __Pyx_sys_getdefaultencoding_not_ascii;
+static int __Pyx_init_sys_getdefaultencoding_params(void) {
+    PyObject* sys;
+    PyObject* default_encoding = NULL;
+    PyObject* ascii_chars_u = NULL;
+    PyObject* ascii_chars_b = NULL;
+    const char* default_encoding_c;
+    sys = PyImport_ImportModule("sys");
+    if (!sys) goto bad;
+    default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
+    Py_DECREF(sys);
+    if (!default_encoding) goto bad;
+    default_encoding_c = PyBytes_AsString(default_encoding);
+    if (!default_encoding_c) goto bad;
+    if (strcmp(default_encoding_c, "ascii") == 0) {
+        __Pyx_sys_getdefaultencoding_not_ascii = 0;
+    } else {
+        char ascii_chars[128];
+        int c;
+        for (c = 0; c < 128; c++) {
+            ascii_chars[c] = c;
+        }
+        __Pyx_sys_getdefaultencoding_not_ascii = 1;
+        ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
+        if (!ascii_chars_u) goto bad;
+        ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
+        if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
+            PyErr_Format(
+                PyExc_ValueError,
+                "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
+                default_encoding_c);
+            goto bad;
+        }
+        Py_DECREF(ascii_chars_u);
+        Py_DECREF(ascii_chars_b);
+    }
+    Py_DECREF(default_encoding);
+    return 0;
+bad:
+    Py_XDECREF(default_encoding);
+    Py_XDECREF(ascii_chars_u);
+    Py_XDECREF(ascii_chars_b);
+    return -1;
+}
+#endif
+#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
+#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
+#else
+#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
+#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
+static char* __PYX_DEFAULT_STRING_ENCODING;
+static int __Pyx_init_sys_getdefaultencoding_params(void) {
+    PyObject* sys;
+    PyObject* default_encoding = NULL;
+    char* default_encoding_c;
+    sys = PyImport_ImportModule("sys");
+    if (!sys) goto bad;
+    default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
+    Py_DECREF(sys);
+    if (!default_encoding) goto bad;
+    default_encoding_c = PyBytes_AsString(default_encoding);
+    if (!default_encoding_c) goto bad;
+    __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);
+    if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
+    strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
+    Py_DECREF(default_encoding);
+    return 0;
+bad:
+    Py_XDECREF(default_encoding);
+    return -1;
+}
+#endif
+#endif
+
+
+/* Test for GCC > 2.95 */
+#if defined(__GNUC__)     && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
+  #define likely(x)   __builtin_expect(!!(x), 1)
+  #define unlikely(x) __builtin_expect(!!(x), 0)
+#else /* !__GNUC__ or GCC < 2.95 */
+  #define likely(x)   (x)
+  #define unlikely(x) (x)
+#endif /* __GNUC__ */
+static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }
+
+static PyObject *__pyx_m = NULL;
+static PyObject *__pyx_d;
+static PyObject *__pyx_b;
+static PyObject *__pyx_cython_runtime = NULL;
+static PyObject *__pyx_empty_tuple;
+static PyObject *__pyx_empty_bytes;
+static PyObject *__pyx_empty_unicode;
+static int __pyx_lineno;
+static int __pyx_clineno = 0;
+static const char * __pyx_cfilenm= __FILE__;
+static const char *__pyx_filename;
+
+/* Header.proto */
+#if !defined(CYTHON_CCOMPLEX)
+  #if defined(__cplusplus)
+    #define CYTHON_CCOMPLEX 1
+  #elif defined(_Complex_I)
+    #define CYTHON_CCOMPLEX 1
+  #else
+    #define CYTHON_CCOMPLEX 0
+  #endif
+#endif
+#if CYTHON_CCOMPLEX
+  #ifdef __cplusplus
+    #include <complex>
+  #else
+    #include <complex.h>
+  #endif
+#endif
+#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
+  #undef _Complex_I
+  #define _Complex_I 1.0fj
+#endif
+
+
+static const char *__pyx_f[] = {
+  "easyCore/Utils/coord_cython.pyx",
+  "__init__.pxd",
+  "stringsource",
+  "type.pxd",
+};
+/* MemviewSliceStruct.proto */
+struct __pyx_memoryview_obj;
+typedef struct {
+  struct __pyx_memoryview_obj *memview;
+  char *data;
+  Py_ssize_t shape[8];
+  Py_ssize_t strides[8];
+  Py_ssize_t suboffsets[8];
+} __Pyx_memviewslice;
+#define __Pyx_MemoryView_Len(m)  (m.shape[0])
+
+/* Atomics.proto */
+#include <pythread.h>
+#ifndef CYTHON_ATOMICS
+    #define CYTHON_ATOMICS 1
+#endif
+#define __pyx_atomic_int_type int
+#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\
+                    (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\
+                    !defined(__i386__)
+    #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1)
+    #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1)
+    #ifdef __PYX_DEBUG_ATOMICS
+        #warning "Using GNU atomics"
+    #endif
+#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0
+    #include <Windows.h>
+    #undef __pyx_atomic_int_type
+    #define __pyx_atomic_int_type LONG
+    #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value)
+    #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value)
+    #ifdef __PYX_DEBUG_ATOMICS
+        #pragma message ("Using MSVC atomics")
+    #endif
+#elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0
+    #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value)
+    #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value)
+    #ifdef __PYX_DEBUG_ATOMICS
+        #warning "Using Intel atomics"
+    #endif
+#else
+    #undef CYTHON_ATOMICS
+    #define CYTHON_ATOMICS 0
+    #ifdef __PYX_DEBUG_ATOMICS
+        #warning "Not using atomics"
+    #endif
+#endif
+typedef volatile __pyx_atomic_int_type __pyx_atomic_int;
+#if CYTHON_ATOMICS
+    #define __pyx_add_acquisition_count(memview)\
+             __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
+    #define __pyx_sub_acquisition_count(memview)\
+            __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
+#else
+    #define __pyx_add_acquisition_count(memview)\
+            __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
+    #define __pyx_sub_acquisition_count(memview)\
+            __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
+#endif
+
+/* ForceInitThreads.proto */
+#ifndef __PYX_FORCE_INIT_THREADS
+  #define __PYX_FORCE_INIT_THREADS 0
+#endif
+
+/* NoFastGil.proto */
+#define __Pyx_PyGILState_Ensure PyGILState_Ensure
+#define __Pyx_PyGILState_Release PyGILState_Release
+#define __Pyx_FastGIL_Remember()
+#define __Pyx_FastGIL_Forget()
+#define __Pyx_FastGilFuncInit()
+
+/* BufferFormatStructs.proto */
+#define IS_UNSIGNED(type) (((type) -1) > 0)
+struct __Pyx_StructField_;
+#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)
+typedef struct {
+  const char* name;
+  struct __Pyx_StructField_* fields;
+  size_t size;
+  size_t arraysize[8];
+  int ndim;
+  char typegroup;
+  char is_unsigned;
+  int flags;
+} __Pyx_TypeInfo;
+typedef struct __Pyx_StructField_ {
+  __Pyx_TypeInfo* type;
+  const char* name;
+  size_t offset;
+} __Pyx_StructField;
+typedef struct {
+  __Pyx_StructField* field;
+  size_t parent_offset;
+} __Pyx_BufFmt_StackElem;
+typedef struct {
+  __Pyx_StructField root;
+  __Pyx_BufFmt_StackElem* head;
+  size_t fmt_offset;
+  size_t new_count, enc_count;
+  size_t struct_alignment;
+  int is_complex;
+  char enc_type;
+  char new_packmode;
+  char enc_packmode;
+  char is_valid_array;
+} __Pyx_BufFmt_Context;
+
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":697
+ * # in Cython to enable them only on the right systems.
+ * 
+ * ctypedef npy_int8       int8_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_int16      int16_t
+ * ctypedef npy_int32      int32_t
+ */
+typedef npy_int8 __pyx_t_5numpy_int8_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":698
+ * 
+ * ctypedef npy_int8       int8_t
+ * ctypedef npy_int16      int16_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_int32      int32_t
+ * ctypedef npy_int64      int64_t
+ */
+typedef npy_int16 __pyx_t_5numpy_int16_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":699
+ * ctypedef npy_int8       int8_t
+ * ctypedef npy_int16      int16_t
+ * ctypedef npy_int32      int32_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_int64      int64_t
+ * #ctypedef npy_int96      int96_t
+ */
+typedef npy_int32 __pyx_t_5numpy_int32_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":700
+ * ctypedef npy_int16      int16_t
+ * ctypedef npy_int32      int32_t
+ * ctypedef npy_int64      int64_t             # <<<<<<<<<<<<<<
+ * #ctypedef npy_int96      int96_t
+ * #ctypedef npy_int128     int128_t
+ */
+typedef npy_int64 __pyx_t_5numpy_int64_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":704
+ * #ctypedef npy_int128     int128_t
+ * 
+ * ctypedef npy_uint8      uint8_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_uint16     uint16_t
+ * ctypedef npy_uint32     uint32_t
+ */
+typedef npy_uint8 __pyx_t_5numpy_uint8_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":705
+ * 
+ * ctypedef npy_uint8      uint8_t
+ * ctypedef npy_uint16     uint16_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_uint32     uint32_t
+ * ctypedef npy_uint64     uint64_t
+ */
+typedef npy_uint16 __pyx_t_5numpy_uint16_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":706
+ * ctypedef npy_uint8      uint8_t
+ * ctypedef npy_uint16     uint16_t
+ * ctypedef npy_uint32     uint32_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_uint64     uint64_t
+ * #ctypedef npy_uint96     uint96_t
+ */
+typedef npy_uint32 __pyx_t_5numpy_uint32_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":707
+ * ctypedef npy_uint16     uint16_t
+ * ctypedef npy_uint32     uint32_t
+ * ctypedef npy_uint64     uint64_t             # <<<<<<<<<<<<<<
+ * #ctypedef npy_uint96     uint96_t
+ * #ctypedef npy_uint128    uint128_t
+ */
+typedef npy_uint64 __pyx_t_5numpy_uint64_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":711
+ * #ctypedef npy_uint128    uint128_t
+ * 
+ * ctypedef npy_float32    float32_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_float64    float64_t
+ * #ctypedef npy_float80    float80_t
+ */
+typedef npy_float32 __pyx_t_5numpy_float32_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":712
+ * 
+ * ctypedef npy_float32    float32_t
+ * ctypedef npy_float64    float64_t             # <<<<<<<<<<<<<<
+ * #ctypedef npy_float80    float80_t
+ * #ctypedef npy_float128   float128_t
+ */
+typedef npy_float64 __pyx_t_5numpy_float64_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":721
+ * # The int types are mapped a bit surprising --
+ * # numpy.int corresponds to 'l' and numpy.long to 'q'
+ * ctypedef npy_long       int_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_longlong   long_t
+ * ctypedef npy_longlong   longlong_t
+ */
+typedef npy_long __pyx_t_5numpy_int_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":722
+ * # numpy.int corresponds to 'l' and numpy.long to 'q'
+ * ctypedef npy_long       int_t
+ * ctypedef npy_longlong   long_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_longlong   longlong_t
+ * 
+ */
+typedef npy_longlong __pyx_t_5numpy_long_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":723
+ * ctypedef npy_long       int_t
+ * ctypedef npy_longlong   long_t
+ * ctypedef npy_longlong   longlong_t             # <<<<<<<<<<<<<<
+ * 
+ * ctypedef npy_ulong      uint_t
+ */
+typedef npy_longlong __pyx_t_5numpy_longlong_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":725
+ * ctypedef npy_longlong   longlong_t
+ * 
+ * ctypedef npy_ulong      uint_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_ulonglong  ulong_t
+ * ctypedef npy_ulonglong  ulonglong_t
+ */
+typedef npy_ulong __pyx_t_5numpy_uint_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":726
+ * 
+ * ctypedef npy_ulong      uint_t
+ * ctypedef npy_ulonglong  ulong_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_ulonglong  ulonglong_t
+ * 
+ */
+typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":727
+ * ctypedef npy_ulong      uint_t
+ * ctypedef npy_ulonglong  ulong_t
+ * ctypedef npy_ulonglong  ulonglong_t             # <<<<<<<<<<<<<<
+ * 
+ * ctypedef npy_intp       intp_t
+ */
+typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":729
+ * ctypedef npy_ulonglong  ulonglong_t
+ * 
+ * ctypedef npy_intp       intp_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_uintp      uintp_t
+ * 
+ */
+typedef npy_intp __pyx_t_5numpy_intp_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":730
+ * 
+ * ctypedef npy_intp       intp_t
+ * ctypedef npy_uintp      uintp_t             # <<<<<<<<<<<<<<
+ * 
+ * ctypedef npy_double     float_t
+ */
+typedef npy_uintp __pyx_t_5numpy_uintp_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":732
+ * ctypedef npy_uintp      uintp_t
+ * 
+ * ctypedef npy_double     float_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_double     double_t
+ * ctypedef npy_longdouble longdouble_t
+ */
+typedef npy_double __pyx_t_5numpy_float_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":733
+ * 
+ * ctypedef npy_double     float_t
+ * ctypedef npy_double     double_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_longdouble longdouble_t
+ * 
+ */
+typedef npy_double __pyx_t_5numpy_double_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":734
+ * ctypedef npy_double     float_t
+ * ctypedef npy_double     double_t
+ * ctypedef npy_longdouble longdouble_t             # <<<<<<<<<<<<<<
+ * 
+ * ctypedef npy_cfloat      cfloat_t
+ */
+typedef npy_longdouble __pyx_t_5numpy_longdouble_t;
+/* Declarations.proto */
+#if CYTHON_CCOMPLEX
+  #ifdef __cplusplus
+    typedef ::std::complex< float > __pyx_t_float_complex;
+  #else
+    typedef float _Complex __pyx_t_float_complex;
+  #endif
+#else
+    typedef struct { float real, imag; } __pyx_t_float_complex;
+#endif
+static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float);
+
+/* Declarations.proto */
+#if CYTHON_CCOMPLEX
+  #ifdef __cplusplus
+    typedef ::std::complex< double > __pyx_t_double_complex;
+  #else
+    typedef double _Complex __pyx_t_double_complex;
+  #endif
+#else
+    typedef struct { double real, imag; } __pyx_t_double_complex;
+#endif
+static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double);
+
+
+/*--- Type declarations ---*/
+struct __pyx_array_obj;
+struct __pyx_MemviewEnum_obj;
+struct __pyx_memoryview_obj;
+struct __pyx_memoryviewslice_obj;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":736
+ * ctypedef npy_longdouble longdouble_t
+ * 
+ * ctypedef npy_cfloat      cfloat_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_cdouble     cdouble_t
+ * ctypedef npy_clongdouble clongdouble_t
+ */
+typedef npy_cfloat __pyx_t_5numpy_cfloat_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":737
+ * 
+ * ctypedef npy_cfloat      cfloat_t
+ * ctypedef npy_cdouble     cdouble_t             # <<<<<<<<<<<<<<
+ * ctypedef npy_clongdouble clongdouble_t
+ * 
+ */
+typedef npy_cdouble __pyx_t_5numpy_cdouble_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":738
+ * ctypedef npy_cfloat      cfloat_t
+ * ctypedef npy_cdouble     cdouble_t
+ * ctypedef npy_clongdouble clongdouble_t             # <<<<<<<<<<<<<<
+ * 
+ * ctypedef npy_cdouble     complex_t
+ */
+typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;
+
+/* "../../../anaconda3/envs/easyCore/lib/python3.8/site-packages/numpy/__init__.pxd":740
+ * ctypedef npy_clongdouble clongdouble_t
+ * 
+ * ctypedef npy_cdouble     complex_t             # <<<<<<<<<<<<<<
+ * 
+ * cdef inline object PyArray_MultiIterNew1(a):
+ */
+typedef npy_cdouble __pyx_t_5numpy_complex_t;
+
+/* "View.MemoryView":105
+ * 
+ * @cname("__pyx_array")
+ * cdef class array:             # <<<<<<<<<<<<<<
+ * 
+ *     cdef:
+ */
+struct __pyx_array_obj {
+  PyObject_HEAD
+  struct __pyx_vtabstruct_array *__pyx_vtab;
+  char *data;
+  Py_ssize_t len;
+  char *format;
+  int ndim;
+  Py_ssize_t *_shape;
+  Py_ssize_t *_strides;
+  Py_ssize_t itemsize;
+  PyObject *mode;
+  PyObject *_format;
+  void (*callback_free_data)(void *);
+  int free_data;
+  int dtype_is_object;
+};
+
+
+/* "View.MemoryView":279
+ * 
+ * @cname('__pyx_MemviewEnum')
+ * cdef class Enum(object):             # <<<<<<<<<<<<<<
+ *     cdef object name
+ *     def __init__(self, name):
+ */
+struct __pyx_MemviewEnum_obj {
+  PyObject_HEAD
+  PyObject *name;
+};
+
+
+/* "View.MemoryView":330
+ * 
+ * @cname('__pyx_memoryview')
+ * cdef class memoryview(object):             # <<<<<<<<<<<<<<
+ * 
+ *     cdef object obj
+ */
+struct __pyx_memoryview_obj {
+  PyObject_HEAD
+  struct __pyx_vtabstruct_memoryview *__pyx_vtab;
+  PyObject *obj;
+  PyObject *_size;
+  PyObject *_array_interface;
+  PyThread_type_lock lock;
+  __pyx_atomic_int acquisition_count[2];
+  __pyx_atomic_int *acquisition_count_aligned_p;
+  Py_buffer view;
+  int flags;
+  int dtype_is_object;
+  __Pyx_TypeInfo *typeinfo;
+};
+
+
+/* "View.MemoryView":965
+ * 
+ * @cname('__pyx_memoryviewslice')
+ * cdef class _memoryviewslice(memoryview):             # <<<<<<<<<<<<<<
+ *     "Internal class for passing memoryview slices to Python"
+ * 
+ */
+struct __pyx_memoryviewslice_obj {
+  struct __pyx_memoryview_obj __pyx_base;
+  __Pyx_memviewslice from_slice;
+  PyObject *from_object;
+  PyObject *(*to_object_func)(char *);
+  int (*to_dtype_func)(char *, PyObject *);
+};
+
+
+
+/* "View.MemoryView":105
+ * 
+ * @cname("__pyx_array")
+ * cdef class array:             # <<<<<<<<<<<<<<
+ * 
+ *     cdef:
+ */
+
+struct __pyx_vtabstruct_array {
+  PyObject *(*get_memview)(struct __pyx_array_obj *);
+};
+static struct __pyx_vtabstruct_array *__pyx_vtabptr_array;
+
+
+/* "View.MemoryView":330
+ * 
+ * @cname('__pyx_memoryview')
+ * cdef class memoryview(object):             # <<<<<<<<<<<<<<
+ * 
+ *     cdef object obj
+ */
+
+struct __pyx_vtabstruct_memoryview {
+  char *(*get_item_pointer)(struct __pyx_memoryview_obj *, PyObject *);
+  PyObject *(*is_slice)(struct __pyx_memoryview_obj *, PyObject *);
+  PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
+  PyObject *(*setitem_slice_assign_scalar)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *);
+  PyObject *(*setitem_indexed)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
+  PyObject *(*convert_item_to_object)(struct __pyx_memoryview_obj *, char *);
+  PyObject *(*assign_item_from_object)(struct __pyx_memoryview_obj *, char *, PyObject *);
+};
+static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview;
+
+
+/* "View.MemoryView":965
+ * 
+ * @cname('__pyx_memoryviewslice')
+ * cdef class _memoryviewslice(memoryview):             # <<<<<<<<<<<<<<
+ *     "Internal class for passing memoryview slices to Python"
+ * 
+ */
+
+struct __pyx_vtabstruct__memoryviewslice {
+  struct __pyx_vtabstruct_memoryview __pyx_base;
+};
+static struct __pyx_vtabstruct__memoryviewslice *__pyx_vtabptr__memoryviewslice;
+
+/* --- Runtime support code (head) --- */
+/* Refnanny.proto */
+#ifndef CYTHON_REFNANNY
+  #define CYTHON_REFNANNY 0
+#endif
+#if CYTHON_REFNANNY
+  typedef struct {
+    void (*INCREF)(void*, PyObject*, int);
+    void (*DECREF)(void*, PyObject*, int);
+    void (*GOTREF)(void*, PyObject*, int);
+    void (*GIVEREF)(void*, PyObject*, int);
+    void* (*SetupContext)(const char*, int, const char*);
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+  static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL;
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+  #define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL;
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+  #define __Pyx_RefNannySetupContext(name, acquire_gil)\
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+              PyGILState_Release(__pyx_gilstate_save);\
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+#else
+  #define __Pyx_RefNannySetupContext(name, acquire_gil)\
+          __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__)
+#endif
+  #define __Pyx_RefNannyFinishContext()\
+          __Pyx_RefNanny->FinishContext(&__pyx_refnanny)
+  #define __Pyx_INCREF(r)  __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
+  #define __Pyx_DECREF(r)  __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
+  #define __Pyx_GOTREF(r)  __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
+  #define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
+  #define __Pyx_XINCREF(r)  do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0)
+  #define __Pyx_XDECREF(r)  do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0)
+  #define __Pyx_XGOTREF(r)  do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
+  #define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0)
+#else
+  #define __Pyx_RefNannyDeclarations
+  #define __Pyx_RefNannySetupContext(name, acquire_gil)
+  #define __Pyx_RefNannyFinishContext()
+  #define __Pyx_INCREF(r) Py_INCREF(r)
+  #define __Pyx_DECREF(r) Py_DECREF(r)
+  #define __Pyx_GOTREF(r)
+  #define __Pyx_GIVEREF(r)
+  #define __Pyx_XINCREF(r) Py_XINCREF(r)
+  #define __Pyx_XDECREF(r) Py_XDECREF(r)
+  #define __Pyx_XGOTREF(r)
+  #define __Pyx_XGIVEREF(r)
+#endif
+#define __Pyx_XDECREF_SET(r, v) do {\
+        PyObject *tmp = (PyObject *) r;\
+        r = v; __Pyx_XDECREF(tmp);\
+    } while (0)
+#define __Pyx_DECREF_SET(r, v) do {\
+        PyObject *tmp = (PyObject *) r;\
+        r = v; __Pyx_DECREF(tmp);\
+    } while (0)
+#define __Pyx_CLEAR(r)    do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0)
+#define __Pyx_XCLEAR(r)   do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0)
+
+/* PyObjectGetAttrStr.proto */
+#if CYTHON_USE_TYPE_SLOTS
+static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name);
+#else
+#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n)
+#endif
+
+/* GetBuiltinName.proto */
+static PyObject *__Pyx_GetBuiltinName(PyObject *name);
+
+/* None.proto */
+static CYTHON_INLINE __pyx_t_5numpy_float_t __Pyx_mod___pyx_t_5numpy_float_t(__pyx_t_5numpy_float_t, __pyx_t_5numpy_float_t);
+
+/* RaiseArgTupleInvalid.proto */
+static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
+    Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found);
+
+/* RaiseDoubleKeywords.proto */
+static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name);
+
+/* ParseKeywords.proto */
+static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\
+    PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\
+    const char* function_name);
+
+/* PyDictVersioning.proto */
+#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
+#define __PYX_DICT_VERSION_INIT  ((PY_UINT64_T) -1)
+#define __PYX_GET_DICT_VERSION(dict)  (((PyDictObject*)(dict))->ma_version_tag)
+#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\
+    (version_var) = __PYX_GET_DICT_VERSION(dict);\
+    (cache_var) = (value);
+#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\
+    static PY_UINT64_T __pyx_dict_version = 0;\
+    static PyObject *__pyx_dict_cached_value = NULL;\
+    if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\
+        (VAR) = __pyx_dict_cached_value;\
+    } else {\
+        (VAR) = __pyx_dict_cached_value = (LOOKUP);\
+        __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\
+    }\
+}
+static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj);
+static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj);
+static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version);
+#else
+#define __PYX_GET_DICT_VERSION(dict)  (0)
+#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)
+#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP)  (VAR) = (LOOKUP);
+#endif
+
+/* GetModuleGlobalName.proto */
+#if CYTHON_USE_DICT_VERSIONS
+#define __Pyx_GetModuleGlobalName(var, name)  {\
+    static PY_UINT64_T __pyx_dict_version = 0;\
+    static PyObject *__pyx_dict_cached_value = NULL;\
+    (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\
+        (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\
+        __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
+}
+#define __Pyx_GetModuleGlobalNameUncached(var, name)  {\
+    PY_UINT64_T __pyx_dict_version;\
+    PyObject *__pyx_dict_cached_value;\
+    (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
+}
+static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value);
+#else
+#define __Pyx_GetModuleGlobalName(var, name)  (var) = __Pyx__GetModuleGlobalName(name)
+#define __Pyx_GetModuleGlobalNameUncached(var, name)  (var) = __Pyx__GetModuleGlobalName(name)
+static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name);
+#endif
+
+/* PyFunctionFastCall.proto */
+#if CYTHON_FAST_PYCALL
+#define __Pyx_PyFunction_FastCall(func, args, nargs)\
+    __Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL)
+#if 1 || PY_VERSION_HEX < 0x030600B1
+static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs);
+#else
+#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)
+#endif
+#define __Pyx_BUILD_ASSERT_EXPR(cond)\
+    (sizeof(char [1 - 2*!(cond)]) - 1)
+#ifndef Py_MEMBER_SIZE
+#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member)
+#endif
+  static size_t __pyx_pyframe_localsplus_offset = 0;
+  #include "frameobject.h"
+  #define __Pxy_PyFrame_Initialize_Offsets()\
+    ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\
+     (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus)))
+  #define __Pyx_PyFrame_GetLocalsplus(frame)\
+    (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset))
+#endif
+
+/* PyCFunctionFastCall.proto */
+#if CYTHON_FAST_PYCCALL
+static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
+#else
+#define __Pyx_PyCFunction_FastCall(func, args, nargs)  (assert(0), NULL)
+#endif
+
+/* PyObjectCall.proto */
+#if CYTHON_COMPILING_IN_CPYTHON
+static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
+#else
+#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
+#endif
+
+/* RaiseTooManyValuesToUnpack.proto */
+static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
+
+/* RaiseNeedMoreValuesToUnpack.proto */
+static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
+
+/* IterFinish.proto */
+static CYTHON_INLINE int __Pyx_IterFinish(void);
+
+/* UnpackItemEndCheck.proto */
+static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected);
+
+/* PyObjectCall2Args.proto */
+static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2);
+
+/* PyObjectCallMethO.proto */
+#if CYTHON_COMPILING_IN_CPYTHON
+static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
+#endif
+
+/* PyObjectCallOneArg.proto */
+static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);
+
+/* MemviewSliceInit.proto */
+#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d
+#define __Pyx_MEMVIEW_DIRECT   1
+#define __Pyx_MEMVIEW_PTR      2
+#define __Pyx_MEMVIEW_FULL     4
+#define __Pyx_MEMVIEW_CONTIG   8
+#define __Pyx_MEMVIEW_STRIDED  16
+#define __Pyx_MEMVIEW_FOLLOW   32
+#define __Pyx_IS_C_CONTIG 1
+#define __Pyx_IS_F_CONTIG 2
+static int __Pyx_init_memviewslice(
+                struct __pyx_memoryview_obj *memview,
+                int ndim,
+                __Pyx_memviewslice *memviewslice,
+                int memview_is_new_reference);
+static CYTHON_INLINE int __pyx_add_acquisition_count_locked(
+    __pyx_atomic_int *acquisition_count, PyThread_type_lock lock);
+static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(
+    __pyx_atomic_int *acquisition_count, PyThread_type_lock lock);
+#define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p)
+#define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview))
+#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__)
+#define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__)
+static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int);
+static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int);
+
+/* PyIntBinop.proto */
+#if !CYTHON_COMPILING_IN_PYPY
+static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check);
+#else
+#define __Pyx_PyInt_SubtractObjC(op1, op2, intval, inplace, zerodivision_check)\
+    (inplace ? PyNumber_InPlaceSubtract(op1, op2) : PyNumber_Subtract(op1, op2))
+#endif
+
+/* PyThreadStateGet.proto */
+#if CYTHON_FAST_THREAD_STATE
+#define __Pyx_PyThreadState_declare  PyThreadState *__pyx_tstate;
+#define __Pyx_PyThreadState_assign  __pyx_tstate = __Pyx_PyThreadState_Current;
+#define __Pyx_PyErr_Occurred()  __pyx_tstate->curexc_type
+#else
+#define __Pyx_PyThreadState_declare
+#define __Pyx_PyThreadState_assign
+#define __Pyx_PyErr_Occurred()  PyErr_Occurred()
+#endif
+
+/* PyErrFetchRestore.proto */
+#if CYTHON_FAST_THREAD_STATE
+#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
+#define __Pyx_ErrRestoreWithState(type, value, tb)  __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
+#define __Pyx_ErrFetchWithState(type, value, tb)    __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb)
+#define __Pyx_ErrRestore(type, value, tb)  __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)
+#define __Pyx_ErrFetch(type, value, tb)    __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb)
+static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
+static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
+#if CYTHON_COMPILING_IN_CPYTHON
+#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL))
+#else
+#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
+#endif
+#else
+#define __Pyx_PyErr_Clear() PyErr_Clear()
+#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
+#define __Pyx_ErrRestoreWithState(type, value, tb)  PyErr_Restore(type, value, tb)
+#define __Pyx_ErrFetchWithState(type, value, tb)  PyErr_Fetch(type, value, tb)
+#define __Pyx_ErrRestoreInState(tstate, type, value, tb)  PyErr_Restore(type, value, tb)
+#define __Pyx_ErrFetchInState(tstate, type, value, tb)  PyErr_Fetch(type, value, tb)
+#define __Pyx_ErrRestore(type, value, tb)  PyErr_Restore(type, value, tb)
+#define __Pyx_ErrFetch(type, value, tb)  PyErr_Fetch(type, value, tb)
+#endif
+
+/* RaiseException.proto */
+static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
+
+/* DictGetItem.proto */
+#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
+static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key);
+#define __Pyx_PyObject_Dict_GetItem(obj, name)\
+    (likely(PyDict_CheckExact(obj)) ?\
+     __Pyx_PyDict_GetItem(obj, name) : PyObject_GetItem(obj, name))
+#else
+#define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key)
+#define __Pyx_PyObject_Dict_GetItem(obj, name)  PyObject_GetItem(obj, name)
+#endif
+
+/* RaiseNoneIterError.proto */
+static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
+
+/* ExtTypeTest.proto */
+static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);
+
+/* GetTopmostException.proto */
+#if CYTHON_USE_EXC_INFO_STACK
+static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate);
+#endif
+
+/* SaveResetException.proto */
+#if CYTHON_FAST_THREAD_STATE
+#define __Pyx_ExceptionSave(type, value, tb)  __Pyx__ExceptionSave(__pyx_tstate, type, value, tb)
+static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
+#define __Pyx_ExceptionReset(type, value, tb)  __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)
+static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
+#else
+#define __Pyx_ExceptionSave(type, value, tb)   PyErr_GetExcInfo(type, value, tb)
+#define __Pyx_ExceptionReset(type, value, tb)  PyErr_SetExcInfo(type, value, tb)
+#endif
+
+/* PyErrExceptionMatches.proto */
+#if CYTHON_FAST_THREAD_STATE
+#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err)
+static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err);
+#else
+#define __Pyx_PyErr_ExceptionMatches(err)  PyErr_ExceptionMatches(err)
+#endif
+
+/* GetException.proto */
+#if CYTHON_FAST_THREAD_STATE
+#define __Pyx_GetException(type, value, tb)  __Pyx__GetException(__pyx_tstate, type, value, tb)
+static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
+#else
+static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
+#endif
+
+/* ArgTypeTest.proto */
+#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\
+    ((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\
+        __Pyx__ArgTypeTest(obj, type, name, exact))
+static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact);
+
+/* IncludeStringH.proto */
+#include <string.h>
+
+/* BytesEquals.proto */
+static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);
+
+/* UnicodeEquals.proto */
+static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);
+
+/* StrEquals.proto */
+#if PY_MAJOR_VERSION >= 3
+#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals
+#else
+#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
+#endif
+
+/* None.proto */
+static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t);
+
+/* UnaryNegOverflows.proto */
+#define UNARY_NEG_WOULD_OVERFLOW(x)\
+        (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x)))
+
+static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
+static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/
+/* GetAttr.proto */
+static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);
+
+/* GetItemInt.proto */
+#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
+    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
+    __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\
+    (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\
+               __Pyx_GetItemInt_Generic(o, to_py_func(i))))
+#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
+    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
+    __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
+    (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL))
+static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
+                                                              int wraparound, int boundscheck);
+#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
+    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
+    __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
+    (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL))
+static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
+                                                              int wraparound, int boundscheck);
+static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j);
+static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i,
+                                                     int is_list, int wraparound, int boundscheck);
+
+/* ObjectGetItem.proto */
+#if CYTHON_USE_TYPE_SLOTS
+static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key);
+#else
+#define __Pyx_PyObject_GetItem(obj, key)  PyObject_GetItem(obj, key)
+#endif
+
+/* decode_c_string_utf16.proto */
+static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16(const char *s, Py_ssize_t size, const char *errors) {
+    int byteorder = 0;
+    return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
+}
+static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16LE(const char *s, Py_ssize_t size, const char *errors) {
+    int byteorder = -1;
+    return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
+}
+static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16BE(const char *s, Py_ssize_t size, const char *errors) {
+    int byteorder = 1;
+    return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
+}
+
+/* decode_c_string.proto */
+static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
+         const char* cstring, Py_ssize_t start, Py_ssize_t stop,
+         const char* encoding, const char* errors,
+         PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors));
+
+/* GetAttr3.proto */
+static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *);
+
+/* SwapException.proto */
+#if CYTHON_FAST_THREAD_STATE
+#define __Pyx_ExceptionSwap(type, value, tb)  __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb)
+static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
+#else
+static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);
+#endif
+
+/* Import.proto */
+static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
+
+/* FastTypeChecks.proto */
+#if CYTHON_COMPILING_IN_CPYTHON
+#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
+static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
+static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
+static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);
+#else
+#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
+#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
+#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))
+#endif
+#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)
+
+static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
+/* ListCompAppend.proto */
+#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
+static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {
+    PyListObject* L = (PyListObject*) list;
+    Py_ssize_t len = Py_SIZE(list);
+    if (likely(L->allocated > len)) {
+        Py_INCREF(x);
+        PyList_SET_ITEM(list, len, x);
+        __Pyx_SET_SIZE(list, len + 1);
+        return 0;
+    }
+    return PyList_Append(list, x);
+}
+#else
+#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
+#endif
+
+/* PyIntBinop.proto */
+#if !CYTHON_COMPILING_IN_PYPY
+static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check);
+#else
+#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\
+    (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2))
+#endif
+
+/* ListExtend.proto */
+static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
+#if CYTHON_COMPILING_IN_CPYTHON
+    PyObject* none = _PyList_Extend((PyListObject*)L, v);
+    if (unlikely(!none))
+        return -1;
+    Py_DECREF(none);
+    return 0;
+#else
+    return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
+#endif
+}
+
+/* ListAppend.proto */
+#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
+static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
+    PyListObject* L = (PyListObject*) list;
+    Py_ssize_t len = Py_SIZE(list);
+    if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) {
+        Py_INCREF(x);
+        PyList_SET_ITEM(list, len, x);
+        __Pyx_SET_SIZE(list, len + 1);
+        return 0;
+    }
+    return PyList_Append(list, x);
+}
+#else
+#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
+#endif
+
+/* None.proto */
+static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
+
+/* None.proto */
+static CYTHON_INLINE long __Pyx_div_long(long, long);
+
+/* ImportFrom.proto */
+static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
+
+/* HasAttr.proto */
+static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *);
+
+/* StringJoin.proto */
+#if PY_MAJOR_VERSION < 3
+#define __Pyx_PyString_Join __Pyx_PyBytes_Join
+#define __Pyx_PyBaseString_Join(s, v) (PyUnicode_CheckExact(s) ? PyUnicode_Join(s, v) : __Pyx_PyBytes_Join(s, v))
+#else
+#define __Pyx_PyString_Join PyUnicode_Join
+#define __Pyx_PyBaseString_Join PyUnicode_Join
+#endif
+#if CYTHON_COMPILING_IN_CPYTHON
+    #if PY_MAJOR_VERSION < 3
+    #define __Pyx_PyBytes_Join _PyString_Join
+    #else
+    #define __Pyx_PyBytes_Join _PyBytes_Join
+    #endif
+#else
+static CYTHON_INLINE PyObject* __Pyx_PyBytes_Join(PyObject* sep, PyObject* values);
+#endif
+
+/* PyObject_Unicode.proto */
+#if PY_MAJOR_VERSION >= 3
+#define __Pyx_PyObject_Unicode(obj)\
+    (likely(PyUnicode_CheckExact(obj)) ? __Pyx_NewRef(obj) : PyObject_Str(obj))
+#else
+#define __Pyx_PyObject_Unicode(obj)\
+    (likely(PyUnicode_CheckExact(obj)) ? __Pyx_NewRef(obj) : PyObject_Unicode(obj))
+#endif
+
+/* PyObject_GenericGetAttrNoDict.proto */
+#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
+static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name);
+#else
+#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr
+#endif
+
+/* PyObject_GenericGetAttr.proto */
+#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
+static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name);
+#else
+#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr
+#endif
+
+/* SetVTable.proto */
+static int __Pyx_SetVtable(PyObject *dict, void *vtable);
+
+/* PyObjectGetAttrStrNoError.proto */
+static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name);
+
+/* SetupReduce.proto */
+static int __Pyx_setup_reduce(PyObject* type_obj);
+
+/* TypeImport.proto */
+#ifndef __PYX_HAVE_RT_ImportType_proto
+#define __PYX_HAVE_RT_ImportType_proto
+enum __Pyx_ImportType_CheckSize {
+   __Pyx_ImportType_CheckSize_Error = 0,
+   __Pyx_ImportType_CheckSize_Warn = 1,
+   __Pyx_ImportType_CheckSize_Ignore = 2
+};
+static PyTypeObject *__Pyx_ImportType(PyObject* module, const char *module_name, const char *class_name, size_t size, enum __Pyx_ImportType_CheckSize check_size);
+#endif
+
+/* CLineInTraceback.proto */
+#ifdef CYTHON_CLINE_IN_TRACEBACK
+#define __Pyx_CLineForTraceback(tstate, c_line)  (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
+#else
+static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
+#endif
+
+/* CodeObjectCache.proto */
+typedef struct {
+    PyCodeObject* code_object;
+    int code_line;
+} __Pyx_CodeObjectCacheEntry;
+struct __Pyx_CodeObjectCache {
+    int count;
+    int max_count;
+    __Pyx_CodeObjectCacheEntry* entries;
+};
+static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
+static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
+static PyCodeObject *__pyx_find_code_object(int code_line);
+static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
+
+/* AddTraceback.proto */
+static void __Pyx_AddTraceback(const char *funcname, int c_line,
+                               int py_line, const char *filename);
+
+#if PY_MAJOR_VERSION < 3
+    static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
+    static void __Pyx_ReleaseBuffer(Py_buffer *view);
+#else
+    #define __Pyx_GetBuffer PyObject_GetBuffer
+    #define __Pyx_ReleaseBuffer PyBuffer_Release
+#endif
+
+
+/* BufferStructDeclare.proto */
+typedef struct {
+  Py_ssize_t shape, strides, suboffsets;
+} __Pyx_Buf_DimInfo;
+typedef struct {
+  size_t refcount;
+  Py_buffer pybuffer;
+} __Pyx_Buffer;
+typedef struct {
+  __Pyx_Buffer *rcbuffer;
+  char *data;
+  __Pyx_Buf_DimInfo diminfo[8];
+} __Pyx_LocalBuf_ND;
+
+/* MemviewSliceIsContig.proto */
+static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim);
+
+/* OverlappingSlices.proto */
+static int __pyx_slices_overlap(__Pyx_memviewslice *slice1,
+                                __Pyx_memviewslice *slice2,
+                                int ndim, size_t itemsize);
+
+/* Capsule.proto */
+static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig);
+
+/* CIntToPy.proto */
+static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
+
+/* RealImag.proto */
+#if CYTHON_CCOMPLEX
+  #ifdef __cplusplus
+    #define __Pyx_CREAL(z) ((z).real())
+    #define __Pyx_CIMAG(z) ((z).imag())
+  #else
+    #define __Pyx_CREAL(z) (__real__(z))
+    #define __Pyx_CIMAG(z) (__imag__(z))
+  #endif
+#else
+    #define __Pyx_CREAL(z) ((z).real)
+    #define __Pyx_CIMAG(z) ((z).imag)
+#endif
+#if defined(__cplusplus) && CYTHON_CCOMPLEX\
+        && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103)
+    #define __Pyx_SET_CREAL(z,x) ((z).real(x))
+    #define __Pyx_SET_CIMAG(z,y) ((z).imag(y))
+#else
+    #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x)
+    #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y)
+#endif
+
+/* Arithmetic.proto */
+#if CYTHON_CCOMPLEX
+    #define __Pyx_c_eq_float(a, b)   ((a)==(b))
+    #define __Pyx_c_sum_float(a, b)  ((a)+(b))
+    #define __Pyx_c_diff_float(a, b) ((a)-(b))
+    #define __Pyx_c_prod_float(a, b) ((a)*(b))
+    #define __Pyx_c_quot_float(a, b) ((a)/(b))
+    #define __Pyx_c_neg_float(a)     (-(a))
+  #ifdef __cplusplus
+    #define __Pyx_c_is_zero_float(z) ((z)==(float)0)
+    #define __Pyx_c_conj_float(z)    (::std::conj(z))
+    #if 1
+        #define __Pyx_c_abs_float(z)     (::std::abs(z))
+        #define __Pyx_c_pow_float(a, b)  (::std::pow(a, b))
+    #endif
+  #else
+    #define __Pyx_c_is_zero_float(z) ((z)==0)
+    #define __Pyx_c_conj_float(z)    (conjf(z))
+    #if 1
+        #define __Pyx_c_abs_float(z)     (cabsf(z))
+        #define __Pyx_c_pow_float(a, b)  (cpowf(a, b))
+    #endif
+ #endif
+#else
+    static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex);
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex);
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex);
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex);
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex);
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex);
+    static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex);
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex);
+    #if 1
+        static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex);
+        static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex);
+    #endif
+#endif
+
+/* Arithmetic.proto */
+#if CYTHON_CCOMPLEX
+    #define __Pyx_c_eq_double(a, b)   ((a)==(b))
+    #define __Pyx_c_sum_double(a, b)  ((a)+(b))
+    #define __Pyx_c_diff_double(a, b) ((a)-(b))
+    #define __Pyx_c_prod_double(a, b) ((a)*(b))
+    #define __Pyx_c_quot_double(a, b) ((a)/(b))
+    #define __Pyx_c_neg_double(a)     (-(a))
+  #ifdef __cplusplus
+    #define __Pyx_c_is_zero_double(z) ((z)==(double)0)
+    #define __Pyx_c_conj_double(z)    (::std::conj(z))
+    #if 1
+        #define __Pyx_c_abs_double(z)     (::std::abs(z))
+        #define __Pyx_c_pow_double(a, b)  (::std::pow(a, b))
+    #endif
+  #else
+    #define __Pyx_c_is_zero_double(z) ((z)==0)
+    #define __Pyx_c_conj_double(z)    (conj(z))
+    #if 1
+        #define __Pyx_c_abs_double(z)     (cabs(z))
+        #define __Pyx_c_pow_double(a, b)  (cpow(a, b))
+    #endif
+ #endif
+#else
+    static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex);
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex);
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex);
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex);
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex);
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex);
+    static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex);
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex);
+    #if 1
+        static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex);
+        static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex);
+    #endif
+#endif
+
+/* CIntToPy.proto */
+static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value);
+
+/* MemviewSliceCopyTemplate.proto */
+static __Pyx_memviewslice
+__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
+                                 const char *mode, int ndim,
+                                 size_t sizeof_dtype, int contig_flag,
+                                 int dtype_is_object);
+
+/* TypeInfoToFormat.proto */
+struct __pyx_typeinfo_string {
+    char string[3];
+};
+static struct __pyx_typeinfo_string __Pyx_TypeInfoToFormat(__Pyx_TypeInfo *type);
+
+/* CIntFromPy.proto */
+static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
+
+/* CIntFromPy.proto */
+static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
+
+/* CIntToPy.proto */
+static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
+
+/* CIntFromPy.proto */
+static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);
+
+/* IsLittleEndian.proto */
+static CYTHON_INLINE int __Pyx_Is_Little_Endian(void);
+
+/* BufferFormatCheck.proto */
+static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts);
+static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
+                              __Pyx_BufFmt_StackElem* stack,
+                              __Pyx_TypeInfo* type);
+
+/* TypeInfoCompare.proto */
+static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);
+
+/* MemviewSliceValidateAndInit.proto */
+static int __Pyx_ValidateAndInit_memviewslice(
+                int *axes_specs,
+                int c_or_f_flag,
+                int buf_flags,
+                int ndim,
+                __Pyx_TypeInfo *dtype,
+                __Pyx_BufFmt_StackElem stack[],
+                __Pyx_memviewslice *memviewslice,
+                PyObject *original_obj);
+
+/* ObjectToMemviewSlice.proto */
+static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_nn___pyx_t_5numpy_float_t(PyObject *, int writable_flag);
+
+/* ObjectToMemviewSlice.proto */
+static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_nn___pyx_t_5numpy_int_t(PyObject *, int writable_flag);
+
+/* ObjectToMemviewSlice.proto */
+static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_float_t(PyObject *, int writable_flag);
+
+/* ObjectToMemviewSlice.proto */
+static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_nn___pyx_t_5numpy_float_t(PyObject *, int writable_flag);
+
+/* ObjectToMemviewSlice.proto */
+static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_nn___pyx_t_5numpy_float_t(PyObject *, int writable_flag);
+
+/* ObjectToMemviewSlice.proto */
+static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_int_t(PyObject *, int writable_flag);
+
+/* CheckBinaryVersion.proto */
+static int __Pyx_check_binary_version(void);
+
+/* InitStrings.proto */
+static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
+
+static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/
+static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/
+static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/
+static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/
+static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/
+static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/
+static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
+static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
+static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
+static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
+
+/* Module declarations from 'libc.string' */
+
+/* Module declarations from 'libc.stdlib' */
+
+/* Module declarations from 'libc.math' */
+
+/* Module declarations from 'cpython.buffer' */
+
+/* Module declarations from 'libc.stdio' */
+
+/* Module declarations from '__builtin__' */
+
+/* Module declarations from 'cpython.type' */
+static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;
+
+/* Module declarations from 'cpython' */
+
+/* Module declarations from 'cpython.object' */
+
+/* Module declarations from 'cpython.ref' */
+
+/* Module declarations from 'cpython.mem' */
+
+/* Module declarations from 'numpy' */
+
+/* Module declarations from 'numpy' */
+static PyTypeObject *__pyx_ptype_5numpy_dtype = 0;
+static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;
+static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;
+static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;
+static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;
+static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/
+
+/* Module declarations from 'cython.view' */
+static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/
+
+/* Module declarations from 'cython' */
+
+/* Module declarations from 'easyCore.Utils.coord_cython' */
+static PyTypeObject *__pyx_array_type = 0;
+static PyTypeObject *__pyx_MemviewEnum_type = 0;
+static PyTypeObject *__pyx_memoryview_type = 0;
+static PyTypeObject *__pyx_memoryviewslice_type = 0;
+static __Pyx_memviewslice __pyx_v_8easyCore_5Utils_12coord_cython_images_view = { 0, 0, { 0 }, { 0 }, { 0 } };
+static PyObject *generic = 0;
+static PyObject *strided = 0;
+static PyObject *indirect = 0;
+static PyObject *contiguous = 0;
+static PyObject *indirect_contiguous = 0;
+static int __pyx_memoryview_thread_locks_used;
+static PyThread_type_lock __pyx_memoryview_thread_locks[8];
+static void __pyx_f_8easyCore_5Utils_12coord_cython_dot_2d(__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice); /*proto*/
+static void __pyx_f_8easyCore_5Utils_12coord_cython_dot_2d_mod(__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice); /*proto*/
+static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/
+static void *__pyx_align_pointer(void *, size_t); /*proto*/
+static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/
+static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/
+static PyObject *_unellipsify(PyObject *, int); /*proto*/
+static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/
+static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/
+static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/
+static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/
+static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/
+static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/
+static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
+static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
+static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/
+static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
+static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/
+static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/
+static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/
+static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/
+static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/
+static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/
+static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/
+static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/
+static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/
+static int __pyx_memoryview_err(PyObject *, char *); /*proto*/
+static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/
+static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/
+static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/
+static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
+static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
+static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/
+static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/
+static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/
+static PyObject *__pyx_format_from_typeinfo(__Pyx_TypeInfo *); /*proto*/
+static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float_t = { "float_t", NULL, sizeof(__pyx_t_5numpy_float_t), { 0 }, 0, 'R', 0, 0 };
+static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_int_t = { "int_t", NULL, sizeof(__pyx_t_5numpy_int_t), { 0 }, 0, IS_UNSIGNED(__pyx_t_5numpy_int_t) ? 'U' : 'I', IS_UNSIGNED(__pyx_t_5numpy_int_t), 0 };
+#define __Pyx_MODULE_NAME "easyCore.Utils.coord_cython"
+extern int __pyx_module_is_main_easyCore__Utils__coord_cython;
+int __pyx_module_is_main_easyCore__Utils__coord_cython = 0;
+
+/* Implementation of 'easyCore.Utils.coord_cython' */
+static PyObject *__pyx_builtin_range;
+static PyObject *__pyx_builtin_ValueError;
+static PyObject *__pyx_builtin_RuntimeError;
+static PyObject *__pyx_builtin_ImportError;
+static PyObject *__pyx_builtin_MemoryError;
+static PyObject *__pyx_builtin_enumerate;
+static PyObject *__pyx_builtin_TypeError;
+static PyObject *__pyx_builtin_Ellipsis;
+static PyObject *__pyx_builtin_id;
+static PyObject *__pyx_builtin_IndexError;
+static const char __pyx_k_C[] = "C";
+static const char __pyx_k_I[] = "I";
+static const char __pyx_k_J[] = "J";
+static const char __pyx_k_O[] = "O";
+static const char __pyx_k_T[] = "T{";
+  static const char __pyx_k_c[] = "c";
+  static const char __pyx_k_d[] = "d";
+  static const char __pyx_k_i[] = "i";
+  static const char __pyx_k_j[] = "j";
+  static const char __pyx_k_k[] = "k";
+  static const char __pyx_k_l[] = "l";
+  static const char __pyx_k_m[] = "m";
+  static const char __pyx_k_r[] = "r";
+  static const char __pyx_k_s[] = "(%s)";
+  static const char __pyx_k_t[] = "t";
+  static const char __pyx_k_d2[] = "d2";
+  static const char __pyx_k_da[] = "da";
+  static const char __pyx_k_db[] = "db";
+  static const char __pyx_k_dc[] = "dc";
+  static const char __pyx_k_ds[] = "ds";
+  static const char __pyx_k_id[] = "id";
+  static const char __pyx_k_np[] = "np";
+  static const char __pyx_k_ok[] = "ok";
+  static const char __pyx_k_vs[] = "vs";
+  static const char __pyx_k_1_0[] = "1.0";
+  static const char __pyx_k__26[] = "^";
+  static const char __pyx_k__27[] = "";
+  static const char __pyx_k__28[] = ":";
+static const char __pyx_k__29[] = "}";
+static const char __pyx_k__30[] = ",";
+static const char __pyx_k_fc1[] = "fc1";
+static const char __pyx_k_fc2[] = "fc2";
+static const char __pyx_k_int[] = "int_";
+static const char __pyx_k_lat[] = "lat";
+static const char __pyx_k_new[] = "__new__";
+static const char __pyx_k_obj[] = "obj";
+static const char __pyx_k_zip[] = "zip";
+static const char __pyx_k_atol[] = "atol";
+static const char __pyx_k_base[] = "base";
+static const char __pyx_k_best[] = "best";
+static const char __pyx_k_copy[] = "copy";
+static const char __pyx_k_date[] = "__date__";
+static const char __pyx_k_dict[] = "__dict__";
+static const char __pyx_k_ftol[] = "ftol";
+static const char __pyx_k_inds[] = "inds";
+static const char __pyx_k_join[] = "join";
+static const char __pyx_k_main[] = "__main__";
+static const char __pyx_k_mask[] = "mask";
+static const char __pyx_k_mode[] = "mode";
+static const char __pyx_k_name[] = "name";
+static const char __pyx_k_ndim[] = "ndim";
+static const char __pyx_k_pack[] = "pack";
+static const char __pyx_k_size[] = "size";
+static const char __pyx_k_step[] = "step";
+static const char __pyx_k_stop[] = "stop";
+static const char __pyx_k_test[] = "__test__";
+static const char __pyx_k_ASCII[] = "ASCII";
+static const char __pyx_k_array[] = "array";
+static const char __pyx_k_bestK[] = "bestK";
+static const char __pyx_k_bestk[] = "bestk";
+static const char __pyx_k_class[] = "__class__";
+static const char __pyx_k_dtype[] = "dtype";
+static const char __pyx_k_email[] = "__email__";
+static const char __pyx_k_empty[] = "empty";
+static const char __pyx_k_error[] = "error";
+static const char __pyx_k_fdist[] = "fdist";
+static const char __pyx_k_flags[] = "flags";
+static const char __pyx_k_float[] = "float_";
+static const char __pyx_k_inc_d[] = "inc_d";
+static const char __pyx_k_int_2[] = "int";
+static const char __pyx_k_numpy[] = "numpy";
+static const char __pyx_k_order[] = "order";
+static const char __pyx_k_range[] = "range";
+static const char __pyx_k_shape[] = "shape";
+static const char __pyx_k_start[] = "start";
+static const char __pyx_k_zeros[] = "zeros";
+static const char __pyx_k_arange[] = "arange";
+static const char __pyx_k_author[] = "__author__";
+static const char __pyx_k_brange[] = "brange";
+static const char __pyx_k_c_inds[] = "c_inds";
+static const char __pyx_k_crange[] = "crange";
+static const char __pyx_k_encode[] = "encode";
+static const char __pyx_k_format[] = "format";
+static const char __pyx_k_images[] = "images";
+static const char __pyx_k_import[] = "__import__";
+static const char __pyx_k_name_2[] = "__name__";
+static const char __pyx_k_pickle[] = "pickle";
+static const char __pyx_k_pre_im[] = "pre_im";
+static const char __pyx_k_reduce[] = "__reduce__";
+static const char __pyx_k_struct[] = "struct";
+static const char __pyx_k_subset[] = "subset";
+static const char __pyx_k_unpack[] = "unpack";
+static const char __pyx_k_update[] = "update";
+static const char __pyx_k_cart_f1[] = "cart_f1";
+static const char __pyx_k_cart_f2[] = "cart_f2";
+static const char __pyx_k_cart_im[] = "cart_im";
+static const char __pyx_k_fortran[] = "fortran";
+static const char __pyx_k_lattice[] = "lattice";
+static const char __pyx_k_memview[] = "memview";
+static const char __pyx_k_reshape[] = "reshape";
+static const char __pyx_k_vectors[] = "vectors";
+static const char __pyx_k_version[] = "__version__";
+static const char __pyx_k_Ellipsis[] = "Ellipsis";
+static const char __pyx_k_fcoords1[] = "fcoords1";
+static const char __pyx_k_fcoords2[] = "fcoords2";
+static const char __pyx_k_getstate[] = "__getstate__";
+static const char __pyx_k_has_ftol[] = "has_ftol";
+static const char __pyx_k_has_mask[] = "has_mask";
+static const char __pyx_k_images_t[] = "images_t";
+static const char __pyx_k_itemsize[] = "itemsize";
+static const char __pyx_k_ok_inner[] = "ok_inner";
+static const char __pyx_k_ok_outer[] = "ok_outer";
+static const char __pyx_k_pyx_type[] = "__pyx_type";
+static const char __pyx_k_setstate[] = "__setstate__";
+static const char __pyx_k_superset[] = "superset";
+static const char __pyx_k_TypeError[] = "TypeError";
+static const char __pyx_k_copyright[] = "__copyright__";
+static const char __pyx_k_enumerate[] = "enumerate";
+static const char __pyx_k_pyx_state[] = "__pyx_state";
+static const char __pyx_k_reduce_ex[] = "__reduce_ex__";
+static const char __pyx_k_return_d2[] = "return_d2";
+static const char __pyx_k_six_moves[] = "six.moves";
+static const char __pyx_k_IndexError[] = "IndexError";
+static const char __pyx_k_ValueError[] = "ValueError";
+static const char __pyx_k_atleast_2d[] = "atleast_2d";
+static const char __pyx_k_lll_matrix[] = "lll_matrix";
+static const char __pyx_k_maintainer[] = "__maintainer__";
+static const char __pyx_k_pyx_result[] = "__pyx_result";
+static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
+static const char __pyx_k_ImportError[] = "ImportError";
+static const char __pyx_k_MemoryError[] = "MemoryError";
+static const char __pyx_k_Nov_27_2011[] = "Nov 27, 2011";
+static const char __pyx_k_PickleError[] = "PickleError";
+static const char __pyx_k_within_frac[] = "within_frac";
+static const char __pyx_k_RuntimeError[] = "RuntimeError";
+static const char __pyx_k_lll_frac_tol[] = "lll_frac_tol";
+static const char __pyx_k_pyx_checksum[] = "__pyx_checksum";
+static const char __pyx_k_stringsource[] = "stringsource";
+static const char __pyx_k_Will_Richards[] = "Will Richards";
+static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer";
+static const char __pyx_k_reduce_cython[] = "__reduce_cython__";
+static const char __pyx_k_View_MemoryView[] = "View.MemoryView";
+static const char __pyx_k_allocate_buffer[] = "allocate_buffer";
+static const char __pyx_k_dtype_is_object[] = "dtype_is_object";
+static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError";
+static const char __pyx_k_setstate_cython[] = "__setstate_cython__";
+static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum";
+static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
+static const char __pyx_k_strided_and_direct[] = "<strided and direct>";
+static const char __pyx_k_get_lll_frac_coords[] = "get_lll_frac_coords";
+static const char __pyx_k_is_coord_subset_pbc[] = "is_coord_subset_pbc";
+static const char __pyx_k_pbc_shortest_vectors[] = "pbc_shortest_vectors";
+static const char __pyx_k_strided_and_indirect[] = "<strided and indirect>";
+static const char __pyx_k_contiguous_and_direct[] = "<contiguous and direct>";
+static const char __pyx_k_wmdrichards_gmail_com[] = "wmdrichards@gmail.com";
+static const char __pyx_k_MemoryView_of_r_object[] = "<MemoryView of %r object>";
+static const char __pyx_k_coord_list_mapping_pbc[] = "coord_list_mapping_pbc";
+static const char __pyx_k_MemoryView_of_r_at_0x_x[] = "<MemoryView of %r at 0x%x>";
+static const char __pyx_k_contiguous_and_indirect[] = "<contiguous and indirect>";
+static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'";
+static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d.";
+static const char __pyx_k_easyCore_Utils_coord_cython[] = "easyCore.Utils.coord_cython";
+static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array";
+static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data.";
+static const char __pyx_k_strided_and_direct_or_indirect[] = "<strided and direct or indirect>";
+static const char __pyx_k_Something_wrong_with_the_inputs[] = "Something wrong with the inputs, likely duplicates in superset";
+static const char __pyx_k_Utilities_for_manipulating_coor[] = "\nUtilities for manipulating coordinates or list of coordinates, under periodic\nboundary conditions or otherwise.\n";
+static const char __pyx_k_easyCore_Utils_coord_cython_pyx[] = "easyCore/Utils/coord_cython.pyx";
+static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import";
+static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)";
+static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides";
+static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
+static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview";
+static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview";
+static const char __pyx_k_Copyright_2011_The_Materials_Pro[] = "Copyright 2011, The Materials Project";
+static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
+static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd";
+static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))";
+static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
+static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s";
+static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported";
+static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)";
+static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object";
+static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)";
+static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__";
+static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import";
+static const char __pyx_k_subset_is_not_a_subset_of_supers[] = "subset is not a subset of superset";
+static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides.";
+static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short.";
+static PyObject *__pyx_kp_s_1_0;
+static PyObject *__pyx_n_s_ASCII;
+static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri;
+static PyObject *__pyx_n_s_C;
+static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is;
+static PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor;
+static PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi;
+static PyObject *__pyx_kp_s_Cannot_index_with_type_s;
+static PyObject *__pyx_kp_s_Copyright_2011_The_Materials_Pro;
+static PyObject *__pyx_n_s_Ellipsis;
+static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;
+static PyObject *__pyx_kp_u_Format_string_allocated_too_shor;
+static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2;
+static PyObject *__pyx_n_s_I;
+static PyObject *__pyx_n_s_ImportError;
+static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0;
+static PyObject *__pyx_n_s_IndexError;
+static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte;
+static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr;
+static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d;
+static PyObject *__pyx_n_s_J;
+static PyObject *__pyx_n_s_MemoryError;
+static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x;
+static PyObject *__pyx_kp_s_MemoryView_of_r_object;
+static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor;
+static PyObject *__pyx_kp_s_Nov_27_2011;
+static PyObject *__pyx_n_b_O;
+static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a;
+static PyObject *__pyx_n_s_PickleError;
+static PyObject *__pyx_n_s_RuntimeError;
+static PyObject *__pyx_kp_s_Something_wrong_with_the_inputs;
+static PyObject *__pyx_kp_b_T;
+static PyObject *__pyx_n_s_TypeError;
+static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;
+static PyObject *__pyx_n_s_ValueError;
+static PyObject *__pyx_n_s_View_MemoryView;
+static PyObject *__pyx_kp_s_Will_Richards;
+static PyObject *__pyx_kp_b__26;
+static PyObject *__pyx_kp_b__27;
+static PyObject *__pyx_kp_b__28;
+static PyObject *__pyx_kp_b__29;
+static PyObject *__pyx_kp_u__30;
+static PyObject *__pyx_n_s_allocate_buffer;
+static PyObject *__pyx_n_s_arange;
+static PyObject *__pyx_n_s_array;
+static PyObject *__pyx_n_s_atleast_2d;
+static PyObject *__pyx_n_s_atol;
+static PyObject *__pyx_n_s_author;
+static PyObject *__pyx_n_s_base;
+static PyObject *__pyx_n_s_best;
+static PyObject *__pyx_n_s_bestK;
+static PyObject *__pyx_n_s_bestk;
+static PyObject *__pyx_n_s_brange;
+static PyObject *__pyx_n_s_c;
+static PyObject *__pyx_n_u_c;
+static PyObject *__pyx_n_s_c_inds;
+static PyObject *__pyx_n_s_cart_f1;
+static PyObject *__pyx_n_s_cart_f2;
+static PyObject *__pyx_n_s_cart_im;
+static PyObject *__pyx_n_s_class;
+static PyObject *__pyx_n_s_cline_in_traceback;
+static PyObject *__pyx_kp_s_contiguous_and_direct;
+static PyObject *__pyx_kp_s_contiguous_and_indirect;
+static PyObject *__pyx_n_s_coord_list_mapping_pbc;
+static PyObject *__pyx_n_s_copy;
+static PyObject *__pyx_n_s_copyright;
+static PyObject *__pyx_n_s_crange;
+static PyObject *__pyx_n_s_d;
+static PyObject *__pyx_n_s_d2;
+static PyObject *__pyx_n_s_da;
+static PyObject *__pyx_n_s_date;
+static PyObject *__pyx_n_s_db;
+static PyObject *__pyx_n_s_dc;
+static PyObject *__pyx_n_s_dict;
+static PyObject *__pyx_n_s_ds;
+static PyObject *__pyx_n_s_dtype;
+static PyObject *__pyx_n_s_dtype_is_object;
+static PyObject *__pyx_n_s_easyCore_Utils_coord_cython;
+static PyObject *__pyx_kp_s_easyCore_Utils_coord_cython_pyx;
+static PyObject *__pyx_n_s_email;
+static PyObject *__pyx_n_s_empty;
+static PyObject *__pyx_n_s_encode;
+static PyObject *__pyx_n_s_enumerate;
+static PyObject *__pyx_n_s_error;
+static PyObject *__pyx_n_s_fc1;
+static PyObject *__pyx_n_s_fc2;
+static PyObject *__pyx_n_s_fcoords1;
+static PyObject *__pyx_n_s_fcoords2;
+static PyObject *__pyx_n_s_fdist;
+static PyObject *__pyx_n_s_flags;
+static PyObject *__pyx_n_s_float;
+static PyObject *__pyx_n_s_format;
+static PyObject *__pyx_n_s_fortran;
+static PyObject *__pyx_n_u_fortran;
+static PyObject *__pyx_n_s_ftol;
+static PyObject *__pyx_n_s_get_lll_frac_coords;
+static PyObject *__pyx_n_s_getstate;
+static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi;
+static PyObject *__pyx_n_s_has_ftol;
+static PyObject *__pyx_n_s_has_mask;
+static PyObject *__pyx_n_s_i;
+static PyObject *__pyx_n_s_id;
+static PyObject *__pyx_n_s_images;
+static PyObject *__pyx_n_s_images_t;
+static PyObject *__pyx_n_s_import;
+static PyObject *__pyx_n_s_inc_d;
+static PyObject *__pyx_n_s_inds;
+static PyObject *__pyx_n_s_int;
+static PyObject *__pyx_n_s_int_2;
+static PyObject *__pyx_n_s_is_coord_subset_pbc;
+static PyObject *__pyx_n_s_itemsize;
+static PyObject *__pyx_kp_s_itemsize_0_for_cython_array;
+static PyObject *__pyx_n_s_j;
+static PyObject *__pyx_n_s_join;
+static PyObject *__pyx_n_s_k;
+static PyObject *__pyx_n_s_l;
+static PyObject *__pyx_n_s_lat;
+static PyObject *__pyx_n_s_lattice;
+static PyObject *__pyx_n_s_lll_frac_tol;
+static PyObject *__pyx_n_s_lll_matrix;
+static PyObject *__pyx_n_s_m;
+static PyObject *__pyx_n_s_main;
+static PyObject *__pyx_n_s_maintainer;
+static PyObject *__pyx_n_s_mask;
+static PyObject *__pyx_n_s_memview;
+static PyObject *__pyx_n_s_mode;
+static PyObject *__pyx_n_s_name;
+static PyObject *__pyx_n_s_name_2;
+static PyObject *__pyx_n_s_ndim;
+static PyObject *__pyx_n_s_new;
+static PyObject *__pyx_kp_s_no_default___reduce___due_to_non;
+static PyObject *__pyx_n_s_np;
+static PyObject *__pyx_n_s_numpy;
+static PyObject *__pyx_kp_s_numpy_core_multiarray_failed_to;
+static PyObject *__pyx_kp_s_numpy_core_umath_failed_to_impor;
+static PyObject *__pyx_n_s_obj;
+static PyObject *__pyx_n_s_ok;
+static PyObject *__pyx_n_s_ok_inner;
+static PyObject *__pyx_n_s_ok_outer;
+static PyObject *__pyx_n_s_order;
+static PyObject *__pyx_n_s_pack;
+static PyObject *__pyx_n_s_pbc_shortest_vectors;
+static PyObject *__pyx_n_s_pickle;
+static PyObject *__pyx_n_s_pre_im;
+static PyObject *__pyx_n_s_pyx_PickleError;
+static PyObject *__pyx_n_s_pyx_checksum;
+static PyObject *__pyx_n_s_pyx_getbuffer;
+static PyObject *__pyx_n_s_pyx_result;
+static PyObject *__pyx_n_s_pyx_state;
+static PyObject *__pyx_n_s_pyx_type;
+static PyObject *__pyx_n_s_pyx_unpickle_Enum;
+static PyObject *__pyx_n_s_pyx_vtable;
+static PyObject *__pyx_n_s_r;
+static PyObject *__pyx_n_s_range;
+static PyObject *__pyx_n_s_reduce;
+static PyObject *__pyx_n_s_reduce_cython;
+static PyObject *__pyx_n_s_reduce_ex;
+static PyObject *__pyx_n_s_reshape;
+static PyObject *__pyx_n_s_return_d2;
+static PyObject *__pyx_kp_u_s;
+static PyObject *__pyx_n_s_setstate;
+static PyObject *__pyx_n_s_setstate_cython;
+static PyObject *__pyx_n_s_shape;
+static PyObject *__pyx_n_s_six_moves;
+static PyObject *__pyx_n_s_size;
+static PyObject *__pyx_n_s_start;
+static PyObject *__pyx_n_s_step;
+static PyObject *__pyx_n_s_stop;
+static PyObject *__pyx_kp_s_strided_and_direct;
+static PyObject *__pyx_kp_s_strided_and_direct_or_indirect;
+static PyObject *__pyx_kp_s_strided_and_indirect;
+static PyObject *__pyx_kp_s_stringsource;
+static PyObject *__pyx_n_s_struct;
+static PyObject *__pyx_n_s_subset;
+static PyObject *__pyx_kp_s_subset_is_not_a_subset_of_supers;
+static PyObject *__pyx_n_s_superset;
+static PyObject *__pyx_n_s_t;
+static PyObject *__pyx_n_s_test;
+static PyObject *__pyx_kp_s_unable_to_allocate_array_data;
+static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str;
+static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd;
+static PyObject *__pyx_n_s_unpack;
+static PyObject *__pyx_n_s_update;
+static PyObject *__pyx_n_s_vectors;
+static PyObject *__pyx_n_s_version;
+static PyObject *__pyx_n_s_vs;
+static PyObject *__pyx_n_s_within_frac;
+static PyObject *__pyx_kp_s_wmdrichards_gmail_com;
+static PyObject *__pyx_n_s_zeros;
+static PyObject *__pyx_n_s_zip;
+static PyObject *__pyx_pf_8easyCore_5Utils_12coord_cython_pbc_shortest_vectors(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_lattice, PyObject *__pyx_v_fcoords1, PyObject *__pyx_v_fcoords2, PyObject *__pyx_v_mask, PyObject *__pyx_v_return_d2, PyObject *__pyx_v_lll_frac_tol); /* proto */
+static PyObject *__pyx_pf_8easyCore_5Utils_12coord_cython_2is_coord_subset_pbc(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_subset, PyObject *__pyx_v_superset, PyObject *__pyx_v_atol, PyObject *__pyx_v_mask); /* proto */
+static PyObject *__pyx_pf_8easyCore_5Utils_12coord_cython_4coord_list_mapping_pbc(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_subset, PyObject *__pyx_v_superset, PyObject *__pyx_v_atol); /* proto */
+static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */
+static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
+static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */
+static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */
+static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */
+static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */
+static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
+static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
+static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */
+static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */
+static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */
+static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */
+static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
+static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
+static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
+static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
+static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject *__pyx_v___pyx_state); /* proto */
+static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
+static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
+static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
+static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
+static PyObject *__pyx_float_1eneg_8;
+static PyObject *__pyx_int_0;
+static PyObject *__pyx_int_1;
+static PyObject *__pyx_int_2;
+static PyObject *__pyx_int_3;
+static PyObject *__pyx_int_27;
+static PyObject *__pyx_int_184977713;
+static PyObject *__pyx_int_neg_1;
+static PyObject *__pyx_tuple_;
+static PyObject *__pyx_tuple__2;
+static PyObject *__pyx_tuple__3;
+static PyObject *__pyx_tuple__4;
+static PyObject *__pyx_tuple__5;
+static PyObject *__pyx_tuple__6;
+static PyObject *__pyx_tuple__7;
+static PyObject *__pyx_tuple__8;
+static PyObject *__pyx_tuple__9;
+static PyObject *__pyx_slice__22;
+static PyObject *__pyx_tuple__10;
+static PyObject *__pyx_tuple__11;
+static PyObject *__pyx_tuple__12;
+static PyObject *__pyx_tuple__13;
+static PyObject *__pyx_tuple__14;
+static PyObject *__pyx_tuple__15;
+static PyObject *__pyx_tuple__16;
+static PyObject *__pyx_tuple__17;
+static PyObject *__pyx_tuple__18;
+static PyObject *__pyx_tuple__19;
+static PyObject *__pyx_tuple__20;
+static PyObject *__pyx_tuple__21;
+static PyObject *__pyx_tuple__23;
+static PyObject *__pyx_tuple__24;
+static PyObject *__pyx_tuple__25;
+static PyObject *__pyx_tuple__31;
+static PyObject *__pyx_tuple__32;
+static PyObject *__pyx_tuple__33;
+static PyObject *__pyx_tuple__34;
+static PyObject *__pyx_tuple__35;
+static PyObject *__pyx_tuple__36;
+static PyObject *__pyx_tuple__37;
+static PyObject *__pyx_tuple__38;
+static PyObject *__pyx_tuple__39;
+static PyObject *__pyx_tuple__41;
+static PyObject *__pyx_tuple__43;
+static PyObject *__pyx_tuple__45;
+static PyObject *__pyx_tuple__46;
+static PyObject *__pyx_tuple__47;
+static PyObject *__pyx_tuple__48;
+static PyObject *__pyx_tuple__49;
+static PyObject *__pyx_tuple__50;
+static PyObject *__pyx_codeobj__40;
+static PyObject *__pyx_codeobj__42;
+static PyObject *__pyx_codeobj__44;
+static PyObject *__pyx_codeobj__51;
+/* Late includes */
+
+/* "easyCore/Utils/coord_cython.pyx":39
+ * @cython.boundscheck(False)
+ * @cython.wraparound(False)
+ * cdef void dot_2d(np.float_t[:, ::1] a, np.float_t[:, ::1] b, np.float_t[:, ::1] o) nogil:             # <<<<<<<<<<<<<<
+ *     cdef int i, j, k, I, J, K
+ *     I = a.shape[0]
+ */
+
+static void __pyx_f_8easyCore_5Utils_12coord_cython_dot_2d(__Pyx_memviewslice __pyx_v_a, __Pyx_memviewslice __pyx_v_b, __Pyx_memviewslice __pyx_v_o) {
+  int __pyx_v_i;
+  int __pyx_v_j;
+  int __pyx_v_k;
+  int __pyx_v_I;
+  int __pyx_v_J;
+  int __pyx_v_K;
+  int __pyx_t_1;
+  int __pyx_t_2;
+  int __pyx_t_3;
+  int __pyx_t_4;
+  int __pyx_t_5;
+  int __pyx_t_6;
+  Py_ssize_t __pyx_t_7;
+  Py_ssize_t __pyx_t_8;
+  int __pyx_t_9;
+  int __pyx_t_10;
+  int __pyx_t_11;
+  Py_ssize_t __pyx_t_12;
+  Py_ssize_t __pyx_t_13;
+  Py_ssize_t __pyx_t_14;
+  Py_ssize_t __pyx_t_15;
+
+  /* "easyCore/Utils/coord_cython.pyx":41
+ * cdef void dot_2d(np.float_t[:, ::1] a, np.float_t[:, ::1] b, np.float_t[:, ::1] o) nogil:
+ *     cdef int i, j, k, I, J, K
+ *     I = a.shape[0]             # <<<<<<<<<<<<<<
+ *     J = b.shape[1]
+ *     K = a.shape[1]
+ */
+  __pyx_v_I = (__pyx_v_a.shape[0]);
+
+  /* "easyCore/Utils/coord_cython.pyx":42
+ *     cdef int i, j, k, I, J, K
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+      __pyx_t_8 = __pyx_v_j;
+      *((__pyx_t_5numpy_float_t *) ( /* dim=1 */ ((char *) (((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_o.data + __pyx_t_7 * __pyx_v_o.strides[0]) )) + __pyx_t_8)) )) = 0.0;
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+ *         for k in range(K):             # <<<<<<<<<<<<<<
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+
+  /* function exit code */
+}
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+/* "easyCore/Utils/coord_cython.pyx":54
+ * @cython.boundscheck(False)
+ * @cython.wraparound(False)
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+  int __pyx_v_i;
+  int __pyx_v_j;
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+  int __pyx_v_I;
+  int __pyx_v_J;
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+  int __pyx_t_2;
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+ *     cdef int i, j, k, I, J, K
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+ */
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+  /* "easyCore/Utils/coord_cython.pyx":131
+ *     d2 = np.empty((I, J))
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+ *     cdef np.float_t[:, ::1] ds = d2             # <<<<<<<<<<<<<<
+ *     cdef np.float_t best, d, inc_d, da, db, dc, fdist
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+ */
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+ *     cdef bint within_frac = True             # <<<<<<<<<<<<<<
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+ * 
+ */
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+  /* "easyCore/Utils/coord_cython.pyx":134
+ *     cdef np.float_t best, d, inc_d, da, db, dc, fdist
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+ *     cdef np.float_t[:] pre_im = <np.float_t[:3]> malloc(3 * sizeof(np.float_t))             # <<<<<<<<<<<<<<
+ * 
+ *     for i in range(I):
+ */
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+ * 
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+    /* "easyCore/Utils/coord_cython.pyx":137
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+ *         for j in range(J):             # <<<<<<<<<<<<<<
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+ *             if (not has_mask) or (m[i, j] == 0):
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+      /* "easyCore/Utils/coord_cython.pyx":138
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+ */
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+      /* "easyCore/Utils/coord_cython.pyx":139
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+ *                 if has_ftol:
+ */
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+        /* "easyCore/Utils/coord_cython.pyx":140
+ *             within_frac = False
+ *             if (not has_mask) or (m[i, j] == 0):
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+ *                     for l in range(3):
+ */
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+        /* "easyCore/Utils/coord_cython.pyx":141
+ *             if (not has_mask) or (m[i, j] == 0):
+ *                 within_frac = True
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+ */
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+        if (__pyx_t_12) {
+
+          /* "easyCore/Utils/coord_cython.pyx":142
+ *                 within_frac = True
+ *                 if has_ftol:
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+ */
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+            __pyx_v_l = __pyx_t_24;
+
+            /* "easyCore/Utils/coord_cython.pyx":143
+ *                 if has_ftol:
+ *                     for l in range(3):
+ *                         fdist = fc2[j, l] - fc1[i, l]             # <<<<<<<<<<<<<<
+ *                         if fabs(fdist - round(fdist)) > ftol[l]:
+ *                             within_frac = False
+ */
+            __pyx_t_23 = __pyx_v_j;
+            __pyx_t_22 = __pyx_v_l;
+            __pyx_t_25 = __pyx_v_i;
+            __pyx_t_26 = __pyx_v_l;
+            __pyx_v_fdist = ((*((__pyx_t_5numpy_float_t *) ( /* dim=1 */ ((char *) (((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_fc2.data + __pyx_t_23 * __pyx_v_fc2.strides[0]) )) + __pyx_t_22)) ))) - (*((__pyx_t_5numpy_float_t *) ( /* dim=1 */ ((char *) (((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_fc1.data + __pyx_t_25 * __pyx_v_fc1.strides[0]) )) + __pyx_t_26)) ))));
+
+            /* "easyCore/Utils/coord_cython.pyx":144
+ *                     for l in range(3):
+ *                         fdist = fc2[j, l] - fc1[i, l]
+ *                         if fabs(fdist - round(fdist)) > ftol[l]:             # <<<<<<<<<<<<<<
+ *                             within_frac = False
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+ */
+            __pyx_t_26 = __pyx_v_l;
+            __pyx_t_12 = ((fabs((__pyx_v_fdist - round(__pyx_v_fdist))) > (*((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_ftol.data + __pyx_t_26 * __pyx_v_ftol.strides[0]) )))) != 0);
+            if (__pyx_t_12) {
+
+              /* "easyCore/Utils/coord_cython.pyx":145
+ *                         fdist = fc2[j, l] - fc1[i, l]
+ *                         if fabs(fdist - round(fdist)) > ftol[l]:
+ *                             within_frac = False             # <<<<<<<<<<<<<<
+ *                             break
+ *                 if within_frac:
+ */
+              __pyx_v_within_frac = 0;
+
+              /* "easyCore/Utils/coord_cython.pyx":146
+ *                         if fabs(fdist - round(fdist)) > ftol[l]:
+ *                             within_frac = False
+ *                             break             # <<<<<<<<<<<<<<
+ *                 if within_frac:
+ *                     for l in range(3):
+ */
+              goto __pyx_L16_break;
+
+              /* "easyCore/Utils/coord_cython.pyx":144
+ *                     for l in range(3):
+ *                         fdist = fc2[j, l] - fc1[i, l]
+ *                         if fabs(fdist - round(fdist)) > ftol[l]:             # <<<<<<<<<<<<<<
+ *                             within_frac = False
+ *                             break
+ */
+            }
+          }
+          __pyx_L16_break:;
+
+          /* "easyCore/Utils/coord_cython.pyx":141
+ *             if (not has_mask) or (m[i, j] == 0):
+ *                 within_frac = True
+ *                 if has_ftol:             # <<<<<<<<<<<<<<
+ *                     for l in range(3):
+ *                         fdist = fc2[j, l] - fc1[i, l]
+ */
+        }
+
+        /* "easyCore/Utils/coord_cython.pyx":147
+ *                             within_frac = False
+ *                             break
+ *                 if within_frac:             # <<<<<<<<<<<<<<
+ *                     for l in range(3):
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+ */
+        __pyx_t_12 = (__pyx_v_within_frac != 0);
+        if (__pyx_t_12) {
+
+          /* "easyCore/Utils/coord_cython.pyx":148
+ *                             break
+ *                 if within_frac:
+ *                     for l in range(3):             # <<<<<<<<<<<<<<
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+ *                     best = 1e100
+ */
+          for (__pyx_t_24 = 0; __pyx_t_24 < 3; __pyx_t_24+=1) {
+            __pyx_v_l = __pyx_t_24;
+
+            /* "easyCore/Utils/coord_cython.pyx":149
+ *                 if within_frac:
+ *                     for l in range(3):
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+ *                     best = 1e100
+ *                     for k in range(27):
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+            __pyx_t_26 = __pyx_v_j;
+            __pyx_t_25 = __pyx_v_l;
+            __pyx_t_22 = __pyx_v_i;
+            __pyx_t_23 = __pyx_v_l;
+            __pyx_t_27 = __pyx_v_l;
+            *((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_pre_im.data + __pyx_t_27 * __pyx_v_pre_im.strides[0]) )) = ((*((__pyx_t_5numpy_float_t *) ( /* dim=1 */ ((char *) (((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_cart_f2.data + __pyx_t_26 * __pyx_v_cart_f2.strides[0]) )) + __pyx_t_25)) ))) - (*((__pyx_t_5numpy_float_t *) ( /* dim=1 */ ((char *) (((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_cart_f1.data + __pyx_t_22 * __pyx_v_cart_f1.strides[0]) )) + __pyx_t_23)) ))));
+          }
+
+          /* "easyCore/Utils/coord_cython.pyx":150
+ *                     for l in range(3):
+ *                         pre_im[l] = cart_f2[j, l] - cart_f1[i, l]
+ *                     best = 1e100             # <<<<<<<<<<<<<<
+ *                     for k in range(27):
+ *                         # compilers have a hard time unrolling this
+ */
+          __pyx_v_best = 1e100;
+
+          /* "easyCore/Utils/coord_cython.pyx":151
+ *                         pre_im[l] = cart_f2[j, l] - cart_f1[i, l]
+ *                     best = 1e100
+ *                     for k in range(27):             # <<<<<<<<<<<<<<
+ *                         # compilers have a hard time unrolling this
+ *                         da = pre_im[0] + cart_im[k, 0]
+ */
+          for (__pyx_t_24 = 0; __pyx_t_24 < 27; __pyx_t_24+=1) {
+            __pyx_v_k = __pyx_t_24;
+
+            /* "easyCore/Utils/coord_cython.pyx":153
+ *                     for k in range(27):
+ *                         # compilers have a hard time unrolling this
+ *                         da = pre_im[0] + cart_im[k, 0]             # <<<<<<<<<<<<<<
+ *                         db = pre_im[1] + cart_im[k, 1]
+ *                         dc = pre_im[2] + cart_im[k, 2]
+ */
+            __pyx_t_23 = 0;
+            __pyx_t_22 = __pyx_v_k;
+            __pyx_t_25 = 0;
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+
+            /* "easyCore/Utils/coord_cython.pyx":154
+ *                         # compilers have a hard time unrolling this
+ *                         da = pre_im[0] + cart_im[k, 0]
+ *                         db = pre_im[1] + cart_im[k, 1]             # <<<<<<<<<<<<<<
+ *                         dc = pre_im[2] + cart_im[k, 2]
+ *                         d = da * da + db * db + dc * dc
+ */
+            __pyx_t_25 = 1;
+            __pyx_t_22 = __pyx_v_k;
+            __pyx_t_23 = 1;
+            __pyx_v_db = ((*((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_pre_im.data + __pyx_t_25 * __pyx_v_pre_im.strides[0]) ))) + (*((__pyx_t_5numpy_float_t *) ( /* dim=1 */ ((char *) (((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_cart_im.data + __pyx_t_22 * __pyx_v_cart_im.strides[0]) )) + __pyx_t_23)) ))));
+
+            /* "easyCore/Utils/coord_cython.pyx":155
+ *                         da = pre_im[0] + cart_im[k, 0]
+ *                         db = pre_im[1] + cart_im[k, 1]
+ *                         dc = pre_im[2] + cart_im[k, 2]             # <<<<<<<<<<<<<<
+ *                         d = da * da + db * db + dc * dc
+ *                         if d < best:
+ */
+            __pyx_t_23 = 2;
+            __pyx_t_22 = __pyx_v_k;
+            __pyx_t_25 = 2;
+            __pyx_v_dc = ((*((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_pre_im.data + __pyx_t_23 * __pyx_v_pre_im.strides[0]) ))) + (*((__pyx_t_5numpy_float_t *) ( /* dim=1 */ ((char *) (((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_cart_im.data + __pyx_t_22 * __pyx_v_cart_im.strides[0]) )) + __pyx_t_25)) ))));
+
+            /* "easyCore/Utils/coord_cython.pyx":156
+ *                         db = pre_im[1] + cart_im[k, 1]
+ *                         dc = pre_im[2] + cart_im[k, 2]
+ *                         d = da * da + db * db + dc * dc             # <<<<<<<<<<<<<<
+ *                         if d < best:
+ *                             best = d
+ */
+            __pyx_v_d = (((__pyx_v_da * __pyx_v_da) + (__pyx_v_db * __pyx_v_db)) + (__pyx_v_dc * __pyx_v_dc));
+
+            /* "easyCore/Utils/coord_cython.pyx":157
+ *                         dc = pre_im[2] + cart_im[k, 2]
+ *                         d = da * da + db * db + dc * dc
+ *                         if d < best:             # <<<<<<<<<<<<<<
+ *                             best = d
+ *                             bestk = k
+ */
+            __pyx_t_12 = ((__pyx_v_d < __pyx_v_best) != 0);
+            if (__pyx_t_12) {
+
+              /* "easyCore/Utils/coord_cython.pyx":158
+ *                         d = da * da + db * db + dc * dc
+ *                         if d < best:
+ *                             best = d             # <<<<<<<<<<<<<<
+ *                             bestk = k
+ *                     ds[i, j] = best
+ */
+              __pyx_v_best = __pyx_v_d;
+
+              /* "easyCore/Utils/coord_cython.pyx":159
+ *                         if d < best:
+ *                             best = d
+ *                             bestk = k             # <<<<<<<<<<<<<<
+ *                     ds[i, j] = best
+ *                     for l in range(3):
+ */
+              __pyx_v_bestk = __pyx_v_k;
+
+              /* "easyCore/Utils/coord_cython.pyx":157
+ *                         dc = pre_im[2] + cart_im[k, 2]
+ *                         d = da * da + db * db + dc * dc
+ *                         if d < best:             # <<<<<<<<<<<<<<
+ *                             best = d
+ *                             bestk = k
+ */
+            }
+          }
+
+          /* "easyCore/Utils/coord_cython.pyx":160
+ *                             best = d
+ *                             bestk = k
+ *                     ds[i, j] = best             # <<<<<<<<<<<<<<
+ *                     for l in range(3):
+ *                         vs[i, j, l] = pre_im[l] + cart_im[bestk, l]
+ */
+          __pyx_t_25 = __pyx_v_i;
+          __pyx_t_22 = __pyx_v_j;
+          *((__pyx_t_5numpy_float_t *) ( /* dim=1 */ ((char *) (((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_ds.data + __pyx_t_25 * __pyx_v_ds.strides[0]) )) + __pyx_t_22)) )) = __pyx_v_best;
+
+          /* "easyCore/Utils/coord_cython.pyx":161
+ *                             bestk = k
+ *                     ds[i, j] = best
+ *                     for l in range(3):             # <<<<<<<<<<<<<<
+ *                         vs[i, j, l] = pre_im[l] + cart_im[bestk, l]
+ *             if not within_frac:
+ */
+          for (__pyx_t_24 = 0; __pyx_t_24 < 3; __pyx_t_24+=1) {
+            __pyx_v_l = __pyx_t_24;
+
+            /* "easyCore/Utils/coord_cython.pyx":162
+ *                     ds[i, j] = best
+ *                     for l in range(3):
+ *                         vs[i, j, l] = pre_im[l] + cart_im[bestk, l]             # <<<<<<<<<<<<<<
+ *             if not within_frac:
+ *                 ds[i, j] = 1e20
+ */
+            __pyx_t_22 = __pyx_v_l;
+            __pyx_t_25 = __pyx_v_bestk;
+            __pyx_t_23 = __pyx_v_l;
+            __pyx_t_26 = __pyx_v_i;
+            __pyx_t_27 = __pyx_v_j;
+            __pyx_t_28 = __pyx_v_l;
+            *((__pyx_t_5numpy_float_t *) ( /* dim=2 */ ((char *) (((__pyx_t_5numpy_float_t *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_vs.data + __pyx_t_26 * __pyx_v_vs.strides[0]) ) + __pyx_t_27 * __pyx_v_vs.strides[1]) )) + __pyx_t_28)) )) = ((*((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_pre_im.data + __pyx_t_22 * __pyx_v_pre_im.strides[0]) ))) + (*((__pyx_t_5numpy_float_t *) ( /* dim=1 */ ((char *) (((__pyx_t_5numpy_float_t *) ( /* dim=0 */ (__pyx_v_cart_im.data + __pyx_t_25 * __pyx_v_cart_im.strides[0]) )) + __pyx_t_23)) ))));
+          }
+
+          /* "easyCore/Utils/coord_cython.pyx":147
+ *                             within_frac = False
+ *                             break
+ *                 if within_frac:             # <<<<<<<<<<<<<<
+ *                     for l in range(3):
+ *                         pre_im[l] = cart_f2[j, l] - cart_f1[i, l]
+ */
+        }
+
+        /* "easyCore/Utils/coord_cython.pyx":139
+ *         for j in range(J):
+ *             within_frac = False
+ *             if (not has_mask) or (m[i, j] == 0):             # <<<<<<<<<<<<<<
+ *                 within_frac = True
+ *                 if has_ftol:
+ */
+      }
+
+      /* "easyCore/Utils/coord_cython.pyx":163
+ *                     for l in range(3):
+ *                         vs[i, j, l] = pre_im[l] + cart_im[bestk, l]
+ *             if not within_frac:             # <<<<<<<<<<<<<<
+ *                 ds[i, j] = 1e20
+ *                 for l in range(3):
+ */
+      __pyx_t_12 = ((!(__pyx_v_within_frac != 0)) != 0);
+      if (__pyx_t_12) {
+
+        /* "easyCore/Utils/coord_cython.pyx":164
+ *                         vs[i, j, l] = pre_im[l] + cart_im[bestk, l]
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+  __pyx_t_3 = (__pyx_t_2 != 0);
+  if (!__pyx_t_3) {
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+  }
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+  __pyx_t_2 = (__pyx_t_3 != 0);
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+    /* "View.MemoryView":349
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+    /* "View.MemoryView":350
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+    if (__pyx_t_1) {
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+      /* "View.MemoryView":351
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+ *                 (<__pyx_buffer *> &self.view).obj = Py_None             # <<<<<<<<<<<<<<
+ *                 Py_INCREF(Py_None)
+ * 
+ */
+      ((Py_buffer *)(&__pyx_v_self->view))->obj = Py_None;
+
+      /* "View.MemoryView":352
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+ *                 (<__pyx_buffer *> &self.view).obj = Py_None
+ *                 Py_INCREF(Py_None)             # <<<<<<<<<<<<<<
+ * 
+ *         global __pyx_memoryview_thread_locks_used
+ */
+      Py_INCREF(Py_None);
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+      /* "View.MemoryView":350
+ *         if type(self) is memoryview or obj is not None:
+ *             __Pyx_GetBuffer(obj, &self.view, flags)
+ *             if <PyObject *> self.view.obj == NULL:             # <<<<<<<<<<<<<<
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+    }
+
+    /* "View.MemoryView":348
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+ *             if <PyObject *> self.view.obj == NULL:
+ */
+  }
+
+  /* "View.MemoryView":355
+ * 
+ *         global __pyx_memoryview_thread_locks_used
+ *         if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED:             # <<<<<<<<<<<<<<
+ *             self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]
+ *             __pyx_memoryview_thread_locks_used += 1
+ */
+  __pyx_t_1 = ((__pyx_memoryview_thread_locks_used < 8) != 0);
+  if (__pyx_t_1) {
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+    /* "View.MemoryView":356
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+ *             self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]             # <<<<<<<<<<<<<<
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+    /* "View.MemoryView":357
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+ *             self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]
+ *             __pyx_memoryview_thread_locks_used += 1             # <<<<<<<<<<<<<<
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+    __pyx_memoryview_thread_locks_used = (__pyx_memoryview_thread_locks_used + 1);
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+    /* "View.MemoryView":355
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+ *         global __pyx_memoryview_thread_locks_used
+ *         if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED:             # <<<<<<<<<<<<<<
+ *             self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]
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+  }
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+ *             __pyx_memoryview_thread_locks_used += 1
+ *         if self.lock is NULL:             # <<<<<<<<<<<<<<
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+  if (__pyx_t_1) {
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+    /* "View.MemoryView":359
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+ *             self.lock = PyThread_allocate_lock()             # <<<<<<<<<<<<<<
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+    /* "View.MemoryView":360
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+ *             if self.lock is NULL:             # <<<<<<<<<<<<<<
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+ * 
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+    if (unlikely(__pyx_t_1)) {
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+      PyErr_NoMemory(); __PYX_ERR(2, 361, __pyx_L1_error)
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+      /* "View.MemoryView":360
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+ *             if self.lock is NULL:             # <<<<<<<<<<<<<<
+ *                 raise MemoryError
+ * 
+ */
+    }
+
+    /* "View.MemoryView":358
+ *             self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]
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+ *         if self.lock is NULL:             # <<<<<<<<<<<<<<
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+ */
+  }
+
+  /* "View.MemoryView":363
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+  if (__pyx_t_1) {
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+ *             self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0')             # <<<<<<<<<<<<<<
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+ */
+    __pyx_t_2 = (((__pyx_v_self->view.format[0]) == 'O') != 0);
+    if (__pyx_t_2) {
+    } else {
+      __pyx_t_1 = __pyx_t_2;
+      goto __pyx_L11_bool_binop_done;
+    }
+    __pyx_t_2 = (((__pyx_v_self->view.format[1]) == '\x00') != 0);
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+
+    /* "View.MemoryView":363
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+ *         if flags & PyBUF_FORMAT:             # <<<<<<<<<<<<<<
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+ *         else:
+ */
+    goto __pyx_L10;
+  }
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+  /* "View.MemoryView":366
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+ *         else:
+ *             self.dtype_is_object = dtype_is_object             # <<<<<<<<<<<<<<
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+ *         self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer(
+ */
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+    __pyx_v_self->dtype_is_object = __pyx_v_dtype_is_object;
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+  /* "View.MemoryView":368
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+  /* "View.MemoryView":370
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+  /* "View.MemoryView":345
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+  /* function exit code */
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+/* Python wrapper */
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+  int __pyx_t_2;
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+  int __pyx_t_4;
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+        /* "View.MemoryView":385
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+          /* "View.MemoryView":388
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+ */
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+
+    /* "View.MemoryView":724
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+ * 
+ *     if isinstance(memview, _memoryviewslice):             # <<<<<<<<<<<<<<
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+ */
+    goto __pyx_L3;
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+
+  /* "View.MemoryView":728
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+ *         slice_copy(memview, &src)             # <<<<<<<<<<<<<<
+ *         p_src = &src
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+ */
+  /*else*/ {
+    __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_src));
+
+    /* "View.MemoryView":729
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+ *         slice_copy(memview, &src)
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+ * 
+ * 
+ */
+    __pyx_v_p_src = (&__pyx_v_src);
+  }
+  __pyx_L3:;
+
+  /* "View.MemoryView":735
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+ * 
+ *     dst.memview = p_src.memview             # <<<<<<<<<<<<<<
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+ * 
+ */
+  __pyx_t_4 = __pyx_v_p_src->memview;
+  __pyx_v_dst.memview = __pyx_t_4;
+
+  /* "View.MemoryView":736
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+ *     dst.memview = p_src.memview
+ *     dst.data = p_src.data             # <<<<<<<<<<<<<<
+ * 
+ * 
+ */
+  __pyx_t_5 = __pyx_v_p_src->data;
+  __pyx_v_dst.data = __pyx_t_5;
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+  /* "View.MemoryView":741
+ * 
+ * 
+ *     cdef __Pyx_memviewslice *p_dst = &dst             # <<<<<<<<<<<<<<
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+ *     cdef Py_ssize_t start, stop, step
+ */
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+
+  /* "View.MemoryView":742
+ * 
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+ *     cdef int *p_suboffset_dim = &suboffset_dim             # <<<<<<<<<<<<<<
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+ *     cdef bint have_start, have_stop, have_step
+ */
+  __pyx_v_p_suboffset_dim = (&__pyx_v_suboffset_dim);
+
+  /* "View.MemoryView":746
+ *     cdef bint have_start, have_stop, have_step
+ * 
+ *     for dim, index in enumerate(indices):             # <<<<<<<<<<<<<<
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+ */
+  __pyx_t_6 = 0;
+  if (likely(PyList_CheckExact(__pyx_v_indices)) || PyTuple_CheckExact(__pyx_v_indices)) {
+    __pyx_t_3 = __pyx_v_indices; __Pyx_INCREF(__pyx_t_3); __pyx_t_7 = 0;
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+  for (;;) {
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+      if (unlikely(!__pyx_t_9)) {
+        PyObject* exc_type = PyErr_Occurred();
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+    /* "View.MemoryView":747
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+ *     for dim, index in enumerate(indices):
+ *         if PyIndex_Check(index):             # <<<<<<<<<<<<<<
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+ */
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+      /* "View.MemoryView":751
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+ *     for dim, index in enumerate(indices):
+ *         if PyIndex_Check(index):             # <<<<<<<<<<<<<<
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+ */
+      goto __pyx_L6;
+    }
+
+    /* "View.MemoryView":754
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+      (__pyx_v_p_dst->shape[__pyx_v_new_ndim]) = 1;
+
+      /* "View.MemoryView":756
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+      (__pyx_v_p_dst->strides[__pyx_v_new_ndim]) = 0;
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+      /* "View.MemoryView":757
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+      (__pyx_v_p_dst->suboffsets[__pyx_v_new_ndim]) = -1L;
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+      /* "View.MemoryView":758
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+    /* "View.MemoryView":760
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+        __pyx_t_10 = __pyx_t_12;
+        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
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+      /* "View.MemoryView":761
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+ */
+      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_stop); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 761, __pyx_L1_error)
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+        __pyx_t_10 = __pyx_t_12;
+        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
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+        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
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+      __pyx_t_10 = 0;
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+      /* "View.MemoryView":764
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+ *             have_start = index.start is not None             # <<<<<<<<<<<<<<
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+ *             have_step = index.step is not None
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+      __Pyx_GOTREF(__pyx_t_9);
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+      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
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+
+      /* "View.MemoryView":765
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+ *             have_start = index.start is not None
+ *             have_stop = index.stop is not None             # <<<<<<<<<<<<<<
+ *             have_step = index.step is not None
+ * 
+ */
+      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_stop); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 765, __pyx_L1_error)
+      __Pyx_GOTREF(__pyx_t_9);
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+      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
+      __pyx_v_have_stop = __pyx_t_1;
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+      /* "View.MemoryView":766
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+      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_step); if (unlikely(!__pyx_t_9)) __PYX_ERR(2, 766, __pyx_L1_error)
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+      __pyx_v_have_step = __pyx_t_1;
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+      /* "View.MemoryView":768
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+ */
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+
+      /* "View.MemoryView":774
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+ *                 True)
+ *             new_ndim += 1             # <<<<<<<<<<<<<<
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+ *     if isinstance(memview, _memoryviewslice):
+ */
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+    }
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+    /* "View.MemoryView":746
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+ * 
+ *     for dim, index in enumerate(indices):             # <<<<<<<<<<<<<<
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+ */
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+ *     if isinstance(memview, _memoryviewslice):             # <<<<<<<<<<<<<<
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+  __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type); 
+  __pyx_t_2 = (__pyx_t_1 != 0);
+  if (__pyx_t_2) {
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+    /* "View.MemoryView":777
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+ *     if isinstance(memview, _memoryviewslice):
+ *         return memoryview_fromslice(dst, new_ndim,             # <<<<<<<<<<<<<<
+ *                                     memviewsliceobj.to_object_func,
+ *                                     memviewsliceobj.to_dtype_func,
+ */
+    __Pyx_XDECREF(((PyObject *)__pyx_r));
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+    /* "View.MemoryView":778
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+ *         return memoryview_fromslice(dst, new_ndim,
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+    /* "View.MemoryView":779
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+ *                                     memviewsliceobj.to_object_func,
+ *                                     memviewsliceobj.to_dtype_func,             # <<<<<<<<<<<<<<
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+ */
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+    /* "View.MemoryView":777
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+ *     if isinstance(memview, _memoryviewslice):
+ *         return memoryview_fromslice(dst, new_ndim,             # <<<<<<<<<<<<<<
+ *                                     memviewsliceobj.to_object_func,
+ *                                     memviewsliceobj.to_dtype_func,
+ */
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+    __Pyx_GOTREF(__pyx_t_3);
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+    __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3);
+    __pyx_t_3 = 0;
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+    /* "View.MemoryView":776
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+ * 
+ *     if isinstance(memview, _memoryviewslice):             # <<<<<<<<<<<<<<
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+  /* "View.MemoryView":782
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+ */
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+    __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3);
+    __pyx_t_3 = 0;
+    goto __pyx_L0;
+  }
+
+  /* "View.MemoryView":710
+ * 
+ * @cname('__pyx_memview_slice')
+ * cdef memoryview memview_slice(memoryview memview, object indices):             # <<<<<<<<<<<<<<
+ *     cdef int new_ndim = 0, suboffset_dim = -1, dim
+ *     cdef bint negative_step
+ */
+
+  /* function exit code */
+  __pyx_L1_error:;
+  __Pyx_XDECREF(__pyx_t_3);
+  __Pyx_XDECREF(__pyx_t_9);
+  __Pyx_AddTraceback("View.MemoryView.memview_slice", __pyx_clineno, __pyx_lineno, __pyx_filename);
+  __pyx_r = 0;
+  __pyx_L0:;
+  __Pyx_XDECREF((PyObject *)__pyx_v_memviewsliceobj);
+  __Pyx_XDECREF(__pyx_v_index);
+  __Pyx_XGIVEREF((PyObject *)__pyx_r);
+  __Pyx_RefNannyFinishContext();
+  return __pyx_r;
+}
+
+/* "View.MemoryView":807
+ * 
+ * @cname('__pyx_memoryview_slice_memviewslice')
+ * cdef int slice_memviewslice(             # <<<<<<<<<<<<<<
+ *         __Pyx_memviewslice *dst,
+ *         Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset,
+ */
+
+static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) {
+  Py_ssize_t __pyx_v_new_shape;
+  int __pyx_v_negative_step;
+  int __pyx_r;
+  int __pyx_t_1;
+  int __pyx_t_2;
+  int __pyx_t_3;
+  int __pyx_lineno = 0;
+  const char *__pyx_filename = NULL;
+  int __pyx_clineno = 0;
+
+  /* "View.MemoryView":827
+ *     cdef bint negative_step
+ * 
+ *     if not is_slice:             # <<<<<<<<<<<<<<
+ * 
+ *         if start < 0:
+ */
+  __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0);
+  if (__pyx_t_1) {
+
+    /* "View.MemoryView":829
+ *     if not is_slice:
+ * 
+ *         if start < 0:             # <<<<<<<<<<<<<<
+ *             start += shape
+ *         if not 0 <= start < shape:
+ */
+    __pyx_t_1 = ((__pyx_v_start < 0) != 0);
+    if (__pyx_t_1) {
+
+      /* "View.MemoryView":830
+ * 
+ *         if start < 0:
+ *             start += shape             # <<<<<<<<<<<<<<
+ *         if not 0 <= start < shape:
+ *             _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
+ */
+      __pyx_v_start = (__pyx_v_start + __pyx_v_shape);
+
+      /* "View.MemoryView":829
+ *     if not is_slice:
+ * 
+ *         if start < 0:             # <<<<<<<<<<<<<<
+ *             start += shape
+ *         if not 0 <= start < shape:
+ */
+    }
+
+    /* "View.MemoryView":831
+ *         if start < 0:
+ *             start += shape
+ *         if not 0 <= start < shape:             # <<<<<<<<<<<<<<
+ *             _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
+ *     else:
+ */
+    __pyx_t_1 = (0 <= __pyx_v_start);
+    if (__pyx_t_1) {
+      __pyx_t_1 = (__pyx_v_start < __pyx_v_shape);
+    }
+    __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":832
+ *             start += shape
+ *         if not 0 <= start < shape:
+ *             _err_dim(IndexError, "Index out of bounds (axis %d)", dim)             # <<<<<<<<<<<<<<
+ *     else:
+ * 
+ */
+      __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 832, __pyx_L1_error)
+
+      /* "View.MemoryView":831
+ *         if start < 0:
+ *             start += shape
+ *         if not 0 <= start < shape:             # <<<<<<<<<<<<<<
+ *             _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
+ *     else:
+ */
+    }
+
+    /* "View.MemoryView":827
+ *     cdef bint negative_step
+ * 
+ *     if not is_slice:             # <<<<<<<<<<<<<<
+ * 
+ *         if start < 0:
+ */
+    goto __pyx_L3;
+  }
+
+  /* "View.MemoryView":835
+ *     else:
+ * 
+ *         negative_step = have_step != 0 and step < 0             # <<<<<<<<<<<<<<
+ * 
+ *         if have_step and step == 0:
+ */
+  /*else*/ {
+    __pyx_t_1 = ((__pyx_v_have_step != 0) != 0);
+    if (__pyx_t_1) {
+    } else {
+      __pyx_t_2 = __pyx_t_1;
+      goto __pyx_L6_bool_binop_done;
+    }
+    __pyx_t_1 = ((__pyx_v_step < 0) != 0);
+    __pyx_t_2 = __pyx_t_1;
+    __pyx_L6_bool_binop_done:;
+    __pyx_v_negative_step = __pyx_t_2;
+
+    /* "View.MemoryView":837
+ *         negative_step = have_step != 0 and step < 0
+ * 
+ *         if have_step and step == 0:             # <<<<<<<<<<<<<<
+ *             _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
+ * 
+ */
+    __pyx_t_1 = (__pyx_v_have_step != 0);
+    if (__pyx_t_1) {
+    } else {
+      __pyx_t_2 = __pyx_t_1;
+      goto __pyx_L9_bool_binop_done;
+    }
+    __pyx_t_1 = ((__pyx_v_step == 0) != 0);
+    __pyx_t_2 = __pyx_t_1;
+    __pyx_L9_bool_binop_done:;
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":838
+ * 
+ *         if have_step and step == 0:
+ *             _err_dim(ValueError, "Step may not be zero (axis %d)", dim)             # <<<<<<<<<<<<<<
+ * 
+ * 
+ */
+      __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 838, __pyx_L1_error)
+
+      /* "View.MemoryView":837
+ *         negative_step = have_step != 0 and step < 0
+ * 
+ *         if have_step and step == 0:             # <<<<<<<<<<<<<<
+ *             _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
+ * 
+ */
+    }
+
+    /* "View.MemoryView":841
+ * 
+ * 
+ *         if have_start:             # <<<<<<<<<<<<<<
+ *             if start < 0:
+ *                 start += shape
+ */
+    __pyx_t_2 = (__pyx_v_have_start != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":842
+ * 
+ *         if have_start:
+ *             if start < 0:             # <<<<<<<<<<<<<<
+ *                 start += shape
+ *                 if start < 0:
+ */
+      __pyx_t_2 = ((__pyx_v_start < 0) != 0);
+      if (__pyx_t_2) {
+
+        /* "View.MemoryView":843
+ *         if have_start:
+ *             if start < 0:
+ *                 start += shape             # <<<<<<<<<<<<<<
+ *                 if start < 0:
+ *                     start = 0
+ */
+        __pyx_v_start = (__pyx_v_start + __pyx_v_shape);
+
+        /* "View.MemoryView":844
+ *             if start < 0:
+ *                 start += shape
+ *                 if start < 0:             # <<<<<<<<<<<<<<
+ *                     start = 0
+ *             elif start >= shape:
+ */
+        __pyx_t_2 = ((__pyx_v_start < 0) != 0);
+        if (__pyx_t_2) {
+
+          /* "View.MemoryView":845
+ *                 start += shape
+ *                 if start < 0:
+ *                     start = 0             # <<<<<<<<<<<<<<
+ *             elif start >= shape:
+ *                 if negative_step:
+ */
+          __pyx_v_start = 0;
+
+          /* "View.MemoryView":844
+ *             if start < 0:
+ *                 start += shape
+ *                 if start < 0:             # <<<<<<<<<<<<<<
+ *                     start = 0
+ *             elif start >= shape:
+ */
+        }
+
+        /* "View.MemoryView":842
+ * 
+ *         if have_start:
+ *             if start < 0:             # <<<<<<<<<<<<<<
+ *                 start += shape
+ *                 if start < 0:
+ */
+        goto __pyx_L12;
+      }
+
+      /* "View.MemoryView":846
+ *                 if start < 0:
+ *                     start = 0
+ *             elif start >= shape:             # <<<<<<<<<<<<<<
+ *                 if negative_step:
+ *                     start = shape - 1
+ */
+      __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0);
+      if (__pyx_t_2) {
+
+        /* "View.MemoryView":847
+ *                     start = 0
+ *             elif start >= shape:
+ *                 if negative_step:             # <<<<<<<<<<<<<<
+ *                     start = shape - 1
+ *                 else:
+ */
+        __pyx_t_2 = (__pyx_v_negative_step != 0);
+        if (__pyx_t_2) {
+
+          /* "View.MemoryView":848
+ *             elif start >= shape:
+ *                 if negative_step:
+ *                     start = shape - 1             # <<<<<<<<<<<<<<
+ *                 else:
+ *                     start = shape
+ */
+          __pyx_v_start = (__pyx_v_shape - 1);
+
+          /* "View.MemoryView":847
+ *                     start = 0
+ *             elif start >= shape:
+ *                 if negative_step:             # <<<<<<<<<<<<<<
+ *                     start = shape - 1
+ *                 else:
+ */
+          goto __pyx_L14;
+        }
+
+        /* "View.MemoryView":850
+ *                     start = shape - 1
+ *                 else:
+ *                     start = shape             # <<<<<<<<<<<<<<
+ *         else:
+ *             if negative_step:
+ */
+        /*else*/ {
+          __pyx_v_start = __pyx_v_shape;
+        }
+        __pyx_L14:;
+
+        /* "View.MemoryView":846
+ *                 if start < 0:
+ *                     start = 0
+ *             elif start >= shape:             # <<<<<<<<<<<<<<
+ *                 if negative_step:
+ *                     start = shape - 1
+ */
+      }
+      __pyx_L12:;
+
+      /* "View.MemoryView":841
+ * 
+ * 
+ *         if have_start:             # <<<<<<<<<<<<<<
+ *             if start < 0:
+ *                 start += shape
+ */
+      goto __pyx_L11;
+    }
+
+    /* "View.MemoryView":852
+ *                     start = shape
+ *         else:
+ *             if negative_step:             # <<<<<<<<<<<<<<
+ *                 start = shape - 1
+ *             else:
+ */
+    /*else*/ {
+      __pyx_t_2 = (__pyx_v_negative_step != 0);
+      if (__pyx_t_2) {
+
+        /* "View.MemoryView":853
+ *         else:
+ *             if negative_step:
+ *                 start = shape - 1             # <<<<<<<<<<<<<<
+ *             else:
+ *                 start = 0
+ */
+        __pyx_v_start = (__pyx_v_shape - 1);
+
+        /* "View.MemoryView":852
+ *                     start = shape
+ *         else:
+ *             if negative_step:             # <<<<<<<<<<<<<<
+ *                 start = shape - 1
+ *             else:
+ */
+        goto __pyx_L15;
+      }
+
+      /* "View.MemoryView":855
+ *                 start = shape - 1
+ *             else:
+ *                 start = 0             # <<<<<<<<<<<<<<
+ * 
+ *         if have_stop:
+ */
+      /*else*/ {
+        __pyx_v_start = 0;
+      }
+      __pyx_L15:;
+    }
+    __pyx_L11:;
+
+    /* "View.MemoryView":857
+ *                 start = 0
+ * 
+ *         if have_stop:             # <<<<<<<<<<<<<<
+ *             if stop < 0:
+ *                 stop += shape
+ */
+    __pyx_t_2 = (__pyx_v_have_stop != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":858
+ * 
+ *         if have_stop:
+ *             if stop < 0:             # <<<<<<<<<<<<<<
+ *                 stop += shape
+ *                 if stop < 0:
+ */
+      __pyx_t_2 = ((__pyx_v_stop < 0) != 0);
+      if (__pyx_t_2) {
+
+        /* "View.MemoryView":859
+ *         if have_stop:
+ *             if stop < 0:
+ *                 stop += shape             # <<<<<<<<<<<<<<
+ *                 if stop < 0:
+ *                     stop = 0
+ */
+        __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape);
+
+        /* "View.MemoryView":860
+ *             if stop < 0:
+ *                 stop += shape
+ *                 if stop < 0:             # <<<<<<<<<<<<<<
+ *                     stop = 0
+ *             elif stop > shape:
+ */
+        __pyx_t_2 = ((__pyx_v_stop < 0) != 0);
+        if (__pyx_t_2) {
+
+          /* "View.MemoryView":861
+ *                 stop += shape
+ *                 if stop < 0:
+ *                     stop = 0             # <<<<<<<<<<<<<<
+ *             elif stop > shape:
+ *                 stop = shape
+ */
+          __pyx_v_stop = 0;
+
+          /* "View.MemoryView":860
+ *             if stop < 0:
+ *                 stop += shape
+ *                 if stop < 0:             # <<<<<<<<<<<<<<
+ *                     stop = 0
+ *             elif stop > shape:
+ */
+        }
+
+        /* "View.MemoryView":858
+ * 
+ *         if have_stop:
+ *             if stop < 0:             # <<<<<<<<<<<<<<
+ *                 stop += shape
+ *                 if stop < 0:
+ */
+        goto __pyx_L17;
+      }
+
+      /* "View.MemoryView":862
+ *                 if stop < 0:
+ *                     stop = 0
+ *             elif stop > shape:             # <<<<<<<<<<<<<<
+ *                 stop = shape
+ *         else:
+ */
+      __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0);
+      if (__pyx_t_2) {
+
+        /* "View.MemoryView":863
+ *                     stop = 0
+ *             elif stop > shape:
+ *                 stop = shape             # <<<<<<<<<<<<<<
+ *         else:
+ *             if negative_step:
+ */
+        __pyx_v_stop = __pyx_v_shape;
+
+        /* "View.MemoryView":862
+ *                 if stop < 0:
+ *                     stop = 0
+ *             elif stop > shape:             # <<<<<<<<<<<<<<
+ *                 stop = shape
+ *         else:
+ */
+      }
+      __pyx_L17:;
+
+      /* "View.MemoryView":857
+ *                 start = 0
+ * 
+ *         if have_stop:             # <<<<<<<<<<<<<<
+ *             if stop < 0:
+ *                 stop += shape
+ */
+      goto __pyx_L16;
+    }
+
+    /* "View.MemoryView":865
+ *                 stop = shape
+ *         else:
+ *             if negative_step:             # <<<<<<<<<<<<<<
+ *                 stop = -1
+ *             else:
+ */
+    /*else*/ {
+      __pyx_t_2 = (__pyx_v_negative_step != 0);
+      if (__pyx_t_2) {
+
+        /* "View.MemoryView":866
+ *         else:
+ *             if negative_step:
+ *                 stop = -1             # <<<<<<<<<<<<<<
+ *             else:
+ *                 stop = shape
+ */
+        __pyx_v_stop = -1L;
+
+        /* "View.MemoryView":865
+ *                 stop = shape
+ *         else:
+ *             if negative_step:             # <<<<<<<<<<<<<<
+ *                 stop = -1
+ *             else:
+ */
+        goto __pyx_L19;
+      }
+
+      /* "View.MemoryView":868
+ *                 stop = -1
+ *             else:
+ *                 stop = shape             # <<<<<<<<<<<<<<
+ * 
+ *         if not have_step:
+ */
+      /*else*/ {
+        __pyx_v_stop = __pyx_v_shape;
+      }
+      __pyx_L19:;
+    }
+    __pyx_L16:;
+
+    /* "View.MemoryView":870
+ *                 stop = shape
+ * 
+ *         if not have_step:             # <<<<<<<<<<<<<<
+ *             step = 1
+ * 
+ */
+    __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":871
+ * 
+ *         if not have_step:
+ *             step = 1             # <<<<<<<<<<<<<<
+ * 
+ * 
+ */
+      __pyx_v_step = 1;
+
+      /* "View.MemoryView":870
+ *                 stop = shape
+ * 
+ *         if not have_step:             # <<<<<<<<<<<<<<
+ *             step = 1
+ * 
+ */
+    }
+
+    /* "View.MemoryView":875
+ * 
+ *         with cython.cdivision(True):
+ *             new_shape = (stop - start) // step             # <<<<<<<<<<<<<<
+ * 
+ *             if (stop - start) - step * new_shape:
+ */
+    __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step);
+
+    /* "View.MemoryView":877
+ *             new_shape = (stop - start) // step
+ * 
+ *             if (stop - start) - step * new_shape:             # <<<<<<<<<<<<<<
+ *                 new_shape += 1
+ * 
+ */
+    __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":878
+ * 
+ *             if (stop - start) - step * new_shape:
+ *                 new_shape += 1             # <<<<<<<<<<<<<<
+ * 
+ *         if new_shape < 0:
+ */
+      __pyx_v_new_shape = (__pyx_v_new_shape + 1);
+
+      /* "View.MemoryView":877
+ *             new_shape = (stop - start) // step
+ * 
+ *             if (stop - start) - step * new_shape:             # <<<<<<<<<<<<<<
+ *                 new_shape += 1
+ * 
+ */
+    }
+
+    /* "View.MemoryView":880
+ *                 new_shape += 1
+ * 
+ *         if new_shape < 0:             # <<<<<<<<<<<<<<
+ *             new_shape = 0
+ * 
+ */
+    __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":881
+ * 
+ *         if new_shape < 0:
+ *             new_shape = 0             # <<<<<<<<<<<<<<
+ * 
+ * 
+ */
+      __pyx_v_new_shape = 0;
+
+      /* "View.MemoryView":880
+ *                 new_shape += 1
+ * 
+ *         if new_shape < 0:             # <<<<<<<<<<<<<<
+ *             new_shape = 0
+ * 
+ */
+    }
+
+    /* "View.MemoryView":884
+ * 
+ * 
+ *         dst.strides[new_ndim] = stride * step             # <<<<<<<<<<<<<<
+ *         dst.shape[new_ndim] = new_shape
+ *         dst.suboffsets[new_ndim] = suboffset
+ */
+    (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step);
+
+    /* "View.MemoryView":885
+ * 
+ *         dst.strides[new_ndim] = stride * step
+ *         dst.shape[new_ndim] = new_shape             # <<<<<<<<<<<<<<
+ *         dst.suboffsets[new_ndim] = suboffset
+ * 
+ */
+    (__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape;
+
+    /* "View.MemoryView":886
+ *         dst.strides[new_ndim] = stride * step
+ *         dst.shape[new_ndim] = new_shape
+ *         dst.suboffsets[new_ndim] = suboffset             # <<<<<<<<<<<<<<
+ * 
+ * 
+ */
+    (__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset;
+  }
+  __pyx_L3:;
+
+  /* "View.MemoryView":889
+ * 
+ * 
+ *     if suboffset_dim[0] < 0:             # <<<<<<<<<<<<<<
+ *         dst.data += start * stride
+ *     else:
+ */
+  __pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0);
+  if (__pyx_t_2) {
+
+    /* "View.MemoryView":890
+ * 
+ *     if suboffset_dim[0] < 0:
+ *         dst.data += start * stride             # <<<<<<<<<<<<<<
+ *     else:
+ *         dst.suboffsets[suboffset_dim[0]] += start * stride
+ */
+    __pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride));
+
+    /* "View.MemoryView":889
+ * 
+ * 
+ *     if suboffset_dim[0] < 0:             # <<<<<<<<<<<<<<
+ *         dst.data += start * stride
+ *     else:
+ */
+    goto __pyx_L23;
+  }
+
+  /* "View.MemoryView":892
+ *         dst.data += start * stride
+ *     else:
+ *         dst.suboffsets[suboffset_dim[0]] += start * stride             # <<<<<<<<<<<<<<
+ * 
+ *     if suboffset >= 0:
+ */
+  /*else*/ {
+    __pyx_t_3 = (__pyx_v_suboffset_dim[0]);
+    (__pyx_v_dst->suboffsets[__pyx_t_3]) = ((__pyx_v_dst->suboffsets[__pyx_t_3]) + (__pyx_v_start * __pyx_v_stride));
+  }
+  __pyx_L23:;
+
+  /* "View.MemoryView":894
+ *         dst.suboffsets[suboffset_dim[0]] += start * stride
+ * 
+ *     if suboffset >= 0:             # <<<<<<<<<<<<<<
+ *         if not is_slice:
+ *             if new_ndim == 0:
+ */
+  __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0);
+  if (__pyx_t_2) {
+
+    /* "View.MemoryView":895
+ * 
+ *     if suboffset >= 0:
+ *         if not is_slice:             # <<<<<<<<<<<<<<
+ *             if new_ndim == 0:
+ *                 dst.data = (<char **> dst.data)[0] + suboffset
+ */
+    __pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":896
+ *     if suboffset >= 0:
+ *         if not is_slice:
+ *             if new_ndim == 0:             # <<<<<<<<<<<<<<
+ *                 dst.data = (<char **> dst.data)[0] + suboffset
+ *             else:
+ */
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+ *                           Py_ssize_t dim) except NULL:
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+ * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0:             # <<<<<<<<<<<<<<
+ *     cdef int ndim = memslice.memview.view.ndim
+ * 
+ */
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+static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) {
+  int __pyx_v_ndim;
+  Py_ssize_t *__pyx_v_shape;
+  Py_ssize_t *__pyx_v_strides;
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+  int __pyx_v_j;
+  int __pyx_r;
+  int __pyx_t_1;
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+  long __pyx_t_4;
+  Py_ssize_t __pyx_t_5;
+  Py_ssize_t __pyx_t_6;
+  int __pyx_t_7;
+  int __pyx_t_8;
+  int __pyx_t_9;
+  int __pyx_lineno = 0;
+  const char *__pyx_filename = NULL;
+  int __pyx_clineno = 0;
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+  /* "View.MemoryView":944
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+ *     cdef Py_ssize_t *shape = memslice.shape
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+ *     cdef Py_ssize_t *shape = memslice.shape             # <<<<<<<<<<<<<<
+ *     cdef Py_ssize_t *strides = memslice.strides
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+ */
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+ *     cdef Py_ssize_t *shape = memslice.shape
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+ * 
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+ */
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+  __pyx_v_strides = __pyx_t_2;
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+  /* "View.MemoryView":951
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+ *     cdef int i, j
+ *     for i in range(ndim / 2):             # <<<<<<<<<<<<<<
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+  __pyx_t_3 = __Pyx_div_long(__pyx_v_ndim, 2);
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+    /* "View.MemoryView":952
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+ *         j = ndim - 1 - i             # <<<<<<<<<<<<<<
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+    /* "View.MemoryView":953
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+    __pyx_t_6 = (__pyx_v_strides[__pyx_v_i]);
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+  /* "View.MemoryView":1080
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+ *     "Create a new memoryview object"
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+  int (*__pyx_v_to_dtype_func)(char *, PyObject *);
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+ */
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+ */
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+  /* "View.MemoryView":1087
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+  /* function exit code */
+  __pyx_L1_error:;
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+static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) {
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+  /* "View.MemoryView":1110
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+ * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
+ *     if arg < 0:             # <<<<<<<<<<<<<<
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+    goto __pyx_L0;
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+ * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:             # <<<<<<<<<<<<<<
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+  /* function exit code */
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+}
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+  Py_ssize_t __pyx_v_f_stride;
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+  int __pyx_t_1;
+  int __pyx_t_2;
+  int __pyx_t_3;
+  int __pyx_t_4;
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+ */
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+ *     for i in range(ndim - 1, -1, -1):             # <<<<<<<<<<<<<<
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+    /* "View.MemoryView":1125
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+ *             break             # <<<<<<<<<<<<<<
+ * 
+ *     for i in range(ndim):
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+      goto __pyx_L4_break;
+
+      /* "View.MemoryView":1125
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+ *         if mslice.shape[i] > 1:             # <<<<<<<<<<<<<<
+ *             c_stride = mslice.strides[i]
+ *             break
+ */
+    }
+  }
+  __pyx_L4_break:;
+
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+ * 
+ *     for i in range(ndim):             # <<<<<<<<<<<<<<
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+    /* "View.MemoryView":1130
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+ *         if mslice.shape[i] > 1:             # <<<<<<<<<<<<<<
+ *             f_stride = mslice.strides[i]
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+    __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
+    if (__pyx_t_2) {
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+      /* "View.MemoryView":1131
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+ *             f_stride = mslice.strides[i]             # <<<<<<<<<<<<<<
+ *             break
+ * 
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+
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+ *     for i in range(ndim):
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+ *             f_stride = mslice.strides[i]
+ *             break
+ */
+    }
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+ *         return 'F'
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+    goto __pyx_L0;
+
+    /* "View.MemoryView":1134
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+ * @cython.cdivision(True)
+ */
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+    __pyx_r = 'F';
+    goto __pyx_L0;
+  }
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+  /* "View.MemoryView":1116
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+  /* function exit code */
+  __pyx_L0:;
+  return __pyx_r;
+}
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+ */
+
+static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
+  CYTHON_UNUSED Py_ssize_t __pyx_v_i;
+  CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent;
+  Py_ssize_t __pyx_v_dst_extent;
+  Py_ssize_t __pyx_v_src_stride;
+  Py_ssize_t __pyx_v_dst_stride;
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+  int __pyx_t_2;
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+  Py_ssize_t __pyx_t_4;
+  Py_ssize_t __pyx_t_5;
+  Py_ssize_t __pyx_t_6;
+
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+ *     cdef Py_ssize_t dst_extent = dst_shape[0]
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+ *     cdef Py_ssize_t dst_extent = dst_shape[0]             # <<<<<<<<<<<<<<
+ *     cdef Py_ssize_t src_stride = src_strides[0]
+ *     cdef Py_ssize_t dst_stride = dst_strides[0]
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+ *     cdef Py_ssize_t dst_extent = dst_shape[0]
+ *     cdef Py_ssize_t src_stride = src_strides[0]             # <<<<<<<<<<<<<<
+ *     cdef Py_ssize_t dst_stride = dst_strides[0]
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+  /* "View.MemoryView":1150
+ *     cdef Py_ssize_t dst_extent = dst_shape[0]
+ *     cdef Py_ssize_t src_stride = src_strides[0]
+ *     cdef Py_ssize_t dst_stride = dst_strides[0]             # <<<<<<<<<<<<<<
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+ *     cdef Py_ssize_t dst_stride = dst_strides[0]
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+ *     if ndim == 1:             # <<<<<<<<<<<<<<
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+  __pyx_t_1 = ((__pyx_v_ndim == 1) != 0);
+  if (__pyx_t_1) {
+
+    /* "View.MemoryView":1153
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+ *     if ndim == 1:
+ *        if (src_stride > 0 and dst_stride > 0 and             # <<<<<<<<<<<<<<
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+ */
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+    if (__pyx_t_2) {
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+    }
+    __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0);
+    if (__pyx_t_2) {
+    } else {
+      __pyx_t_1 = __pyx_t_2;
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+    if (__pyx_t_2) {
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+ *        if (src_stride > 0 and dst_stride > 0 and             # <<<<<<<<<<<<<<
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+
+      /* "View.MemoryView":1155
+ *        if (src_stride > 0 and dst_stride > 0 and
+ *            <size_t> src_stride == itemsize == <size_t> dst_stride):
+ *            memcpy(dst_data, src_data, itemsize * dst_extent)             # <<<<<<<<<<<<<<
+ *        else:
+ *            for i in range(dst_extent):
+ */
+      (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)));
+
+      /* "View.MemoryView":1153
+ * 
+ *     if ndim == 1:
+ *        if (src_stride > 0 and dst_stride > 0 and             # <<<<<<<<<<<<<<
+ *            <size_t> src_stride == itemsize == <size_t> dst_stride):
+ *            memcpy(dst_data, src_data, itemsize * dst_extent)
+ */
+      goto __pyx_L4;
+    }
+
+    /* "View.MemoryView":1157
+ *            memcpy(dst_data, src_data, itemsize * dst_extent)
+ *        else:
+ *            for i in range(dst_extent):             # <<<<<<<<<<<<<<
+ *                memcpy(dst_data, src_data, itemsize)
+ *                src_data += src_stride
+ */
+    /*else*/ {
+      __pyx_t_4 = __pyx_v_dst_extent;
+      __pyx_t_5 = __pyx_t_4;
+      for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
+        __pyx_v_i = __pyx_t_6;
+
+        /* "View.MemoryView":1158
+ *        else:
+ *            for i in range(dst_extent):
+ *                memcpy(dst_data, src_data, itemsize)             # <<<<<<<<<<<<<<
+ *                src_data += src_stride
+ *                dst_data += dst_stride
+ */
+        (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize));
+
+        /* "View.MemoryView":1159
+ *            for i in range(dst_extent):
+ *                memcpy(dst_data, src_data, itemsize)
+ *                src_data += src_stride             # <<<<<<<<<<<<<<
+ *                dst_data += dst_stride
+ *     else:
+ */
+        __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
+
+        /* "View.MemoryView":1160
+ *                memcpy(dst_data, src_data, itemsize)
+ *                src_data += src_stride
+ *                dst_data += dst_stride             # <<<<<<<<<<<<<<
+ *     else:
+ *         for i in range(dst_extent):
+ */
+        __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
+      }
+    }
+    __pyx_L4:;
+
+    /* "View.MemoryView":1152
+ *     cdef Py_ssize_t dst_stride = dst_strides[0]
+ * 
+ *     if ndim == 1:             # <<<<<<<<<<<<<<
+ *        if (src_stride > 0 and dst_stride > 0 and
+ *            <size_t> src_stride == itemsize == <size_t> dst_stride):
+ */
+    goto __pyx_L3;
+  }
+
+  /* "View.MemoryView":1162
+ *                dst_data += dst_stride
+ *     else:
+ *         for i in range(dst_extent):             # <<<<<<<<<<<<<<
+ *             _copy_strided_to_strided(src_data, src_strides + 1,
+ *                                      dst_data, dst_strides + 1,
+ */
+  /*else*/ {
+    __pyx_t_4 = __pyx_v_dst_extent;
+    __pyx_t_5 = __pyx_t_4;
+    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
+      __pyx_v_i = __pyx_t_6;
+
+      /* "View.MemoryView":1163
+ *     else:
+ *         for i in range(dst_extent):
+ *             _copy_strided_to_strided(src_data, src_strides + 1,             # <<<<<<<<<<<<<<
+ *                                      dst_data, dst_strides + 1,
+ *                                      src_shape + 1, dst_shape + 1,
+ */
+      _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize);
+
+      /* "View.MemoryView":1167
+ *                                      src_shape + 1, dst_shape + 1,
+ *                                      ndim - 1, itemsize)
+ *             src_data += src_stride             # <<<<<<<<<<<<<<
+ *             dst_data += dst_stride
+ * 
+ */
+      __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
+
+      /* "View.MemoryView":1168
+ *                                      ndim - 1, itemsize)
+ *             src_data += src_stride
+ *             dst_data += dst_stride             # <<<<<<<<<<<<<<
+ * 
+ * cdef void copy_strided_to_strided(__Pyx_memviewslice *src,
+ */
+      __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
+    }
+  }
+  __pyx_L3:;
+
+  /* "View.MemoryView":1140
+ * 
+ * @cython.cdivision(True)
+ * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides,             # <<<<<<<<<<<<<<
+ *                                    char *dst_data, Py_ssize_t *dst_strides,
+ *                                    Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
+ */
+
+  /* function exit code */
+}
+
+/* "View.MemoryView":1170
+ *             dst_data += dst_stride
+ * 
+ * cdef void copy_strided_to_strided(__Pyx_memviewslice *src,             # <<<<<<<<<<<<<<
+ *                                   __Pyx_memviewslice *dst,
+ *                                   int ndim, size_t itemsize) nogil:
+ */
+
+static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
+
+  /* "View.MemoryView":1173
+ *                                   __Pyx_memviewslice *dst,
+ *                                   int ndim, size_t itemsize) nogil:
+ *     _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides,             # <<<<<<<<<<<<<<
+ *                              src.shape, dst.shape, ndim, itemsize)
+ * 
+ */
+  _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize);
+
+  /* "View.MemoryView":1170
+ *             dst_data += dst_stride
+ * 
+ * cdef void copy_strided_to_strided(__Pyx_memviewslice *src,             # <<<<<<<<<<<<<<
+ *                                   __Pyx_memviewslice *dst,
+ *                                   int ndim, size_t itemsize) nogil:
+ */
+
+  /* function exit code */
+}
+
+/* "View.MemoryView":1177
+ * 
+ * @cname('__pyx_memoryview_slice_get_size')
+ * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil:             # <<<<<<<<<<<<<<
+ *     "Return the size of the memory occupied by the slice in number of bytes"
+ *     cdef Py_ssize_t shape, size = src.memview.view.itemsize
+ */
+
+static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) {
+  Py_ssize_t __pyx_v_shape;
+  Py_ssize_t __pyx_v_size;
+  Py_ssize_t __pyx_r;
+  Py_ssize_t __pyx_t_1;
+  Py_ssize_t *__pyx_t_2;
+  Py_ssize_t *__pyx_t_3;
+  Py_ssize_t *__pyx_t_4;
+
+  /* "View.MemoryView":1179
+ * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil:
+ *     "Return the size of the memory occupied by the slice in number of bytes"
+ *     cdef Py_ssize_t shape, size = src.memview.view.itemsize             # <<<<<<<<<<<<<<
+ * 
+ *     for shape in src.shape[:ndim]:
+ */
+  __pyx_t_1 = __pyx_v_src->memview->view.itemsize;
+  __pyx_v_size = __pyx_t_1;
+
+  /* "View.MemoryView":1181
+ *     cdef Py_ssize_t shape, size = src.memview.view.itemsize
+ * 
+ *     for shape in src.shape[:ndim]:             # <<<<<<<<<<<<<<
+ *         size *= shape
+ * 
+ */
+  __pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim);
+  for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) {
+    __pyx_t_2 = __pyx_t_4;
+    __pyx_v_shape = (__pyx_t_2[0]);
+
+    /* "View.MemoryView":1182
+ * 
+ *     for shape in src.shape[:ndim]:
+ *         size *= shape             # <<<<<<<<<<<<<<
+ * 
+ *     return size
+ */
+    __pyx_v_size = (__pyx_v_size * __pyx_v_shape);
+  }
+
+  /* "View.MemoryView":1184
+ *         size *= shape
+ * 
+ *     return size             # <<<<<<<<<<<<<<
+ * 
+ * @cname('__pyx_fill_contig_strides_array')
+ */
+  __pyx_r = __pyx_v_size;
+  goto __pyx_L0;
+
+  /* "View.MemoryView":1177
+ * 
+ * @cname('__pyx_memoryview_slice_get_size')
+ * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil:             # <<<<<<<<<<<<<<
+ *     "Return the size of the memory occupied by the slice in number of bytes"
+ *     cdef Py_ssize_t shape, size = src.memview.view.itemsize
+ */
+
+  /* function exit code */
+  __pyx_L0:;
+  return __pyx_r;
+}
+
+/* "View.MemoryView":1187
+ * 
+ * @cname('__pyx_fill_contig_strides_array')
+ * cdef Py_ssize_t fill_contig_strides_array(             # <<<<<<<<<<<<<<
+ *                 Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
+ *                 int ndim, char order) nogil:
+ */
+
+static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) {
+  int __pyx_v_idx;
+  Py_ssize_t __pyx_r;
+  int __pyx_t_1;
+  int __pyx_t_2;
+  int __pyx_t_3;
+  int __pyx_t_4;
+
+  /* "View.MemoryView":1196
+ *     cdef int idx
+ * 
+ *     if order == 'F':             # <<<<<<<<<<<<<<
+ *         for idx in range(ndim):
+ *             strides[idx] = stride
+ */
+  __pyx_t_1 = ((__pyx_v_order == 'F') != 0);
+  if (__pyx_t_1) {
+
+    /* "View.MemoryView":1197
+ * 
+ *     if order == 'F':
+ *         for idx in range(ndim):             # <<<<<<<<<<<<<<
+ *             strides[idx] = stride
+ *             stride *= shape[idx]
+ */
+    __pyx_t_2 = __pyx_v_ndim;
+    __pyx_t_3 = __pyx_t_2;
+    for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
+      __pyx_v_idx = __pyx_t_4;
+
+      /* "View.MemoryView":1198
+ *     if order == 'F':
+ *         for idx in range(ndim):
+ *             strides[idx] = stride             # <<<<<<<<<<<<<<
+ *             stride *= shape[idx]
+ *     else:
+ */
+      (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
+
+      /* "View.MemoryView":1199
+ *         for idx in range(ndim):
+ *             strides[idx] = stride
+ *             stride *= shape[idx]             # <<<<<<<<<<<<<<
+ *     else:
+ *         for idx in range(ndim - 1, -1, -1):
+ */
+      __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
+    }
+
+    /* "View.MemoryView":1196
+ *     cdef int idx
+ * 
+ *     if order == 'F':             # <<<<<<<<<<<<<<
+ *         for idx in range(ndim):
+ *             strides[idx] = stride
+ */
+    goto __pyx_L3;
+  }
+
+  /* "View.MemoryView":1201
+ *             stride *= shape[idx]
+ *     else:
+ *         for idx in range(ndim - 1, -1, -1):             # <<<<<<<<<<<<<<
+ *             strides[idx] = stride
+ *             stride *= shape[idx]
+ */
+  /*else*/ {
+    for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) {
+      __pyx_v_idx = __pyx_t_2;
+
+      /* "View.MemoryView":1202
+ *     else:
+ *         for idx in range(ndim - 1, -1, -1):
+ *             strides[idx] = stride             # <<<<<<<<<<<<<<
+ *             stride *= shape[idx]
+ * 
+ */
+      (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
+
+      /* "View.MemoryView":1203
+ *         for idx in range(ndim - 1, -1, -1):
+ *             strides[idx] = stride
+ *             stride *= shape[idx]             # <<<<<<<<<<<<<<
+ * 
+ *     return stride
+ */
+      __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
+    }
+  }
+  __pyx_L3:;
+
+  /* "View.MemoryView":1205
+ *             stride *= shape[idx]
+ * 
+ *     return stride             # <<<<<<<<<<<<<<
+ * 
+ * @cname('__pyx_memoryview_copy_data_to_temp')
+ */
+  __pyx_r = __pyx_v_stride;
+  goto __pyx_L0;
+
+  /* "View.MemoryView":1187
+ * 
+ * @cname('__pyx_fill_contig_strides_array')
+ * cdef Py_ssize_t fill_contig_strides_array(             # <<<<<<<<<<<<<<
+ *                 Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
+ *                 int ndim, char order) nogil:
+ */
+
+  /* function exit code */
+  __pyx_L0:;
+  return __pyx_r;
+}
+
+/* "View.MemoryView":1208
+ * 
+ * @cname('__pyx_memoryview_copy_data_to_temp')
+ * cdef void *copy_data_to_temp(__Pyx_memviewslice *src,             # <<<<<<<<<<<<<<
+ *                              __Pyx_memviewslice *tmpslice,
+ *                              char order,
+ */
+
+static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) {
+  int __pyx_v_i;
+  void *__pyx_v_result;
+  size_t __pyx_v_itemsize;
+  size_t __pyx_v_size;
+  void *__pyx_r;
+  Py_ssize_t __pyx_t_1;
+  int __pyx_t_2;
+  int __pyx_t_3;
+  struct __pyx_memoryview_obj *__pyx_t_4;
+  int __pyx_t_5;
+  int __pyx_t_6;
+  int __pyx_lineno = 0;
+  const char *__pyx_filename = NULL;
+  int __pyx_clineno = 0;
+
+  /* "View.MemoryView":1219
+ *     cdef void *result
+ * 
+ *     cdef size_t itemsize = src.memview.view.itemsize             # <<<<<<<<<<<<<<
+ *     cdef size_t size = slice_get_size(src, ndim)
+ * 
+ */
+  __pyx_t_1 = __pyx_v_src->memview->view.itemsize;
+  __pyx_v_itemsize = __pyx_t_1;
+
+  /* "View.MemoryView":1220
+ * 
+ *     cdef size_t itemsize = src.memview.view.itemsize
+ *     cdef size_t size = slice_get_size(src, ndim)             # <<<<<<<<<<<<<<
+ * 
+ *     result = malloc(size)
+ */
+  __pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim);
+
+  /* "View.MemoryView":1222
+ *     cdef size_t size = slice_get_size(src, ndim)
+ * 
+ *     result = malloc(size)             # <<<<<<<<<<<<<<
+ *     if not result:
+ *         _err(MemoryError, NULL)
+ */
+  __pyx_v_result = malloc(__pyx_v_size);
+
+  /* "View.MemoryView":1223
+ * 
+ *     result = malloc(size)
+ *     if not result:             # <<<<<<<<<<<<<<
+ *         _err(MemoryError, NULL)
+ * 
+ */
+  __pyx_t_2 = ((!(__pyx_v_result != 0)) != 0);
+  if (__pyx_t_2) {
+
+    /* "View.MemoryView":1224
+ *     result = malloc(size)
+ *     if not result:
+ *         _err(MemoryError, NULL)             # <<<<<<<<<<<<<<
+ * 
+ * 
+ */
+    __pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 1224, __pyx_L1_error)
+
+    /* "View.MemoryView":1223
+ * 
+ *     result = malloc(size)
+ *     if not result:             # <<<<<<<<<<<<<<
+ *         _err(MemoryError, NULL)
+ * 
+ */
+  }
+
+  /* "View.MemoryView":1227
+ * 
+ * 
+ *     tmpslice.data = <char *> result             # <<<<<<<<<<<<<<
+ *     tmpslice.memview = src.memview
+ *     for i in range(ndim):
+ */
+  __pyx_v_tmpslice->data = ((char *)__pyx_v_result);
+
+  /* "View.MemoryView":1228
+ * 
+ *     tmpslice.data = <char *> result
+ *     tmpslice.memview = src.memview             # <<<<<<<<<<<<<<
+ *     for i in range(ndim):
+ *         tmpslice.shape[i] = src.shape[i]
+ */
+  __pyx_t_4 = __pyx_v_src->memview;
+  __pyx_v_tmpslice->memview = __pyx_t_4;
+
+  /* "View.MemoryView":1229
+ *     tmpslice.data = <char *> result
+ *     tmpslice.memview = src.memview
+ *     for i in range(ndim):             # <<<<<<<<<<<<<<
+ *         tmpslice.shape[i] = src.shape[i]
+ *         tmpslice.suboffsets[i] = -1
+ */
+  __pyx_t_3 = __pyx_v_ndim;
+  __pyx_t_5 = __pyx_t_3;
+  for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
+    __pyx_v_i = __pyx_t_6;
+
+    /* "View.MemoryView":1230
+ *     tmpslice.memview = src.memview
+ *     for i in range(ndim):
+ *         tmpslice.shape[i] = src.shape[i]             # <<<<<<<<<<<<<<
+ *         tmpslice.suboffsets[i] = -1
+ * 
+ */
+    (__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]);
+
+    /* "View.MemoryView":1231
+ *     for i in range(ndim):
+ *         tmpslice.shape[i] = src.shape[i]
+ *         tmpslice.suboffsets[i] = -1             # <<<<<<<<<<<<<<
+ * 
+ *     fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize,
+ */
+    (__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1L;
+  }
+
+  /* "View.MemoryView":1233
+ *         tmpslice.suboffsets[i] = -1
+ * 
+ *     fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize,             # <<<<<<<<<<<<<<
+ *                               ndim, order)
+ * 
+ */
+  (void)(__pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order));
+
+  /* "View.MemoryView":1237
+ * 
+ * 
+ *     for i in range(ndim):             # <<<<<<<<<<<<<<
+ *         if tmpslice.shape[i] == 1:
+ *             tmpslice.strides[i] = 0
+ */
+  __pyx_t_3 = __pyx_v_ndim;
+  __pyx_t_5 = __pyx_t_3;
+  for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
+    __pyx_v_i = __pyx_t_6;
+
+    /* "View.MemoryView":1238
+ * 
+ *     for i in range(ndim):
+ *         if tmpslice.shape[i] == 1:             # <<<<<<<<<<<<<<
+ *             tmpslice.strides[i] = 0
+ * 
+ */
+    __pyx_t_2 = (((__pyx_v_tmpslice->shape[__pyx_v_i]) == 1) != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":1239
+ *     for i in range(ndim):
+ *         if tmpslice.shape[i] == 1:
+ *             tmpslice.strides[i] = 0             # <<<<<<<<<<<<<<
+ * 
+ *     if slice_is_contig(src[0], order, ndim):
+ */
+      (__pyx_v_tmpslice->strides[__pyx_v_i]) = 0;
+
+      /* "View.MemoryView":1238
+ * 
+ *     for i in range(ndim):
+ *         if tmpslice.shape[i] == 1:             # <<<<<<<<<<<<<<
+ *             tmpslice.strides[i] = 0
+ * 
+ */
+    }
+  }
+
+  /* "View.MemoryView":1241
+ *             tmpslice.strides[i] = 0
+ * 
+ *     if slice_is_contig(src[0], order, ndim):             # <<<<<<<<<<<<<<
+ *         memcpy(result, src.data, size)
+ *     else:
+ */
+  __pyx_t_2 = (__pyx_memviewslice_is_contig((__pyx_v_src[0]), __pyx_v_order, __pyx_v_ndim) != 0);
+  if (__pyx_t_2) {
+
+    /* "View.MemoryView":1242
+ * 
+ *     if slice_is_contig(src[0], order, ndim):
+ *         memcpy(result, src.data, size)             # <<<<<<<<<<<<<<
+ *     else:
+ *         copy_strided_to_strided(src, tmpslice, ndim, itemsize)
+ */
+    (void)(memcpy(__pyx_v_result, __pyx_v_src->data, __pyx_v_size));
+
+    /* "View.MemoryView":1241
+ *             tmpslice.strides[i] = 0
+ * 
+ *     if slice_is_contig(src[0], order, ndim):             # <<<<<<<<<<<<<<
+ *         memcpy(result, src.data, size)
+ *     else:
+ */
+    goto __pyx_L9;
+  }
+
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+ *     cdef int ndim = max(src_ndim, dst_ndim)
+ * 
+ *     for i in range(ndim):             # <<<<<<<<<<<<<<
+ *         if src.shape[i] != dst.shape[i]:
+ *             if src.shape[i] == 1:
+ */
+  __pyx_t_5 = __pyx_v_ndim;
+  __pyx_t_3 = __pyx_t_5;
+  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
+    __pyx_v_i = __pyx_t_4;
+
+    /* "View.MemoryView":1292
+ * 
+ *     for i in range(ndim):
+ *         if src.shape[i] != dst.shape[i]:             # <<<<<<<<<<<<<<
+ *             if src.shape[i] == 1:
+ *                 broadcasting = True
+ */
+    __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":1293
+ *     for i in range(ndim):
+ *         if src.shape[i] != dst.shape[i]:
+ *             if src.shape[i] == 1:             # <<<<<<<<<<<<<<
+ *                 broadcasting = True
+ *                 src.strides[i] = 0
+ */
+      __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0);
+      if (__pyx_t_2) {
+
+        /* "View.MemoryView":1294
+ *         if src.shape[i] != dst.shape[i]:
+ *             if src.shape[i] == 1:
+ *                 broadcasting = True             # <<<<<<<<<<<<<<
+ *                 src.strides[i] = 0
+ *             else:
+ */
+        __pyx_v_broadcasting = 1;
+
+        /* "View.MemoryView":1295
+ *             if src.shape[i] == 1:
+ *                 broadcasting = True
+ *                 src.strides[i] = 0             # <<<<<<<<<<<<<<
+ *             else:
+ *                 _err_extents(i, dst.shape[i], src.shape[i])
+ */
+        (__pyx_v_src.strides[__pyx_v_i]) = 0;
+
+        /* "View.MemoryView":1293
+ *     for i in range(ndim):
+ *         if src.shape[i] != dst.shape[i]:
+ *             if src.shape[i] == 1:             # <<<<<<<<<<<<<<
+ *                 broadcasting = True
+ *                 src.strides[i] = 0
+ */
+        goto __pyx_L7;
+      }
+
+      /* "View.MemoryView":1297
+ *                 src.strides[i] = 0
+ *             else:
+ *                 _err_extents(i, dst.shape[i], src.shape[i])             # <<<<<<<<<<<<<<
+ * 
+ *         if src.suboffsets[i] >= 0:
+ */
+      /*else*/ {
+        __pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1297, __pyx_L1_error)
+      }
+      __pyx_L7:;
+
+      /* "View.MemoryView":1292
+ * 
+ *     for i in range(ndim):
+ *         if src.shape[i] != dst.shape[i]:             # <<<<<<<<<<<<<<
+ *             if src.shape[i] == 1:
+ *                 broadcasting = True
+ */
+    }
+
+    /* "View.MemoryView":1299
+ *                 _err_extents(i, dst.shape[i], src.shape[i])
+ * 
+ *         if src.suboffsets[i] >= 0:             # <<<<<<<<<<<<<<
+ *             _err_dim(ValueError, "Dimension %d is not direct", i)
+ * 
+ */
+    __pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":1300
+ * 
+ *         if src.suboffsets[i] >= 0:
+ *             _err_dim(ValueError, "Dimension %d is not direct", i)             # <<<<<<<<<<<<<<
+ * 
+ *     if slices_overlap(&src, &dst, ndim, itemsize):
+ */
+      __pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1300, __pyx_L1_error)
+
+      /* "View.MemoryView":1299
+ *                 _err_extents(i, dst.shape[i], src.shape[i])
+ * 
+ *         if src.suboffsets[i] >= 0:             # <<<<<<<<<<<<<<
+ *             _err_dim(ValueError, "Dimension %d is not direct", i)
+ * 
+ */
+    }
+  }
+
+  /* "View.MemoryView":1302
+ *             _err_dim(ValueError, "Dimension %d is not direct", i)
+ * 
+ *     if slices_overlap(&src, &dst, ndim, itemsize):             # <<<<<<<<<<<<<<
+ * 
+ *         if not slice_is_contig(src, order, ndim):
+ */
+  __pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0);
+  if (__pyx_t_2) {
+
+    /* "View.MemoryView":1304
+ *     if slices_overlap(&src, &dst, ndim, itemsize):
+ * 
+ *         if not slice_is_contig(src, order, ndim):             # <<<<<<<<<<<<<<
+ *             order = get_best_order(&dst, ndim)
+ * 
+ */
+    __pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":1305
+ * 
+ *         if not slice_is_contig(src, order, ndim):
+ *             order = get_best_order(&dst, ndim)             # <<<<<<<<<<<<<<
+ * 
+ *         tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
+ */
+      __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim);
+
+      /* "View.MemoryView":1304
+ *     if slices_overlap(&src, &dst, ndim, itemsize):
+ * 
+ *         if not slice_is_contig(src, order, ndim):             # <<<<<<<<<<<<<<
+ *             order = get_best_order(&dst, ndim)
+ * 
+ */
+    }
+
+    /* "View.MemoryView":1307
+ *             order = get_best_order(&dst, ndim)
+ * 
+ *         tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)             # <<<<<<<<<<<<<<
+ *         src = tmp
+ * 
+ */
+    __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(2, 1307, __pyx_L1_error)
+    __pyx_v_tmpdata = __pyx_t_7;
+
+    /* "View.MemoryView":1308
+ * 
+ *         tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
+ *         src = tmp             # <<<<<<<<<<<<<<
+ * 
+ *     if not broadcasting:
+ */
+    __pyx_v_src = __pyx_v_tmp;
+
+    /* "View.MemoryView":1302
+ *             _err_dim(ValueError, "Dimension %d is not direct", i)
+ * 
+ *     if slices_overlap(&src, &dst, ndim, itemsize):             # <<<<<<<<<<<<<<
+ * 
+ *         if not slice_is_contig(src, order, ndim):
+ */
+  }
+
+  /* "View.MemoryView":1310
+ *         src = tmp
+ * 
+ *     if not broadcasting:             # <<<<<<<<<<<<<<
+ * 
+ * 
+ */
+  __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0);
+  if (__pyx_t_2) {
+
+    /* "View.MemoryView":1313
+ * 
+ * 
+ *         if slice_is_contig(src, 'C', ndim):             # <<<<<<<<<<<<<<
+ *             direct_copy = slice_is_contig(dst, 'C', ndim)
+ *         elif slice_is_contig(src, 'F', ndim):
+ */
+    __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":1314
+ * 
+ *         if slice_is_contig(src, 'C', ndim):
+ *             direct_copy = slice_is_contig(dst, 'C', ndim)             # <<<<<<<<<<<<<<
+ *         elif slice_is_contig(src, 'F', ndim):
+ *             direct_copy = slice_is_contig(dst, 'F', ndim)
+ */
+      __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim);
+
+      /* "View.MemoryView":1313
+ * 
+ * 
+ *         if slice_is_contig(src, 'C', ndim):             # <<<<<<<<<<<<<<
+ *             direct_copy = slice_is_contig(dst, 'C', ndim)
+ *         elif slice_is_contig(src, 'F', ndim):
+ */
+      goto __pyx_L12;
+    }
+
+    /* "View.MemoryView":1315
+ *         if slice_is_contig(src, 'C', ndim):
+ *             direct_copy = slice_is_contig(dst, 'C', ndim)
+ *         elif slice_is_contig(src, 'F', ndim):             # <<<<<<<<<<<<<<
+ *             direct_copy = slice_is_contig(dst, 'F', ndim)
+ * 
+ */
+    __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":1316
+ *             direct_copy = slice_is_contig(dst, 'C', ndim)
+ *         elif slice_is_contig(src, 'F', ndim):
+ *             direct_copy = slice_is_contig(dst, 'F', ndim)             # <<<<<<<<<<<<<<
+ * 
+ *         if direct_copy:
+ */
+      __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim);
+
+      /* "View.MemoryView":1315
+ *         if slice_is_contig(src, 'C', ndim):
+ *             direct_copy = slice_is_contig(dst, 'C', ndim)
+ *         elif slice_is_contig(src, 'F', ndim):             # <<<<<<<<<<<<<<
+ *             direct_copy = slice_is_contig(dst, 'F', ndim)
+ * 
+ */
+    }
+    __pyx_L12:;
+
+    /* "View.MemoryView":1318
+ *             direct_copy = slice_is_contig(dst, 'F', ndim)
+ * 
+ *         if direct_copy:             # <<<<<<<<<<<<<<
+ * 
+ *             refcount_copying(&dst, dtype_is_object, ndim, False)
+ */
+    __pyx_t_2 = (__pyx_v_direct_copy != 0);
+    if (__pyx_t_2) {
+
+      /* "View.MemoryView":1320
+ *         if direct_copy:
+ * 
+ *             refcount_copying(&dst, dtype_is_object, ndim, False)             # <<<<<<<<<<<<<<
+ *             memcpy(dst.data, src.data, slice_get_size(&src, ndim))
+ *             refcount_copying(&dst, dtype_is_object, ndim, True)
+ */
+      __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
+
+      /* "View.MemoryView":1321
+ * 
+ *             refcount_copying(&dst, dtype_is_object, ndim, False)
+ *             memcpy(dst.data, src.data, slice_get_size(&src, ndim))             # <<<<<<<<<<<<<<
+ *             refcount_copying(&dst, dtype_is_object, ndim, True)
+ *             free(tmpdata)
+ */
+      (void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)));
+
+      /* "View.MemoryView":1322
+ *             refcount_copying(&dst, dtype_is_object, ndim, False)
+ *             memcpy(dst.data, src.data, slice_get_size(&src, ndim))
+ *             refcount_copying(&dst, dtype_is_object, ndim, True)             # <<<<<<<<<<<<<<
+ *             free(tmpdata)
+ *             return 0
+ */
+      __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
+
+      /* "View.MemoryView":1323
+ *             memcpy(dst.data, src.data, slice_get_size(&src, ndim))
+ *             refcount_copying(&dst, dtype_is_object, ndim, True)
+ *             free(tmpdata)             # <<<<<<<<<<<<<<
+ *             return 0
+ * 
+ */
+      free(__pyx_v_tmpdata);
+
+      /* "View.MemoryView":1324
+ *             refcount_copying(&dst, dtype_is_object, ndim, True)
+ *             free(tmpdata)
+ *             return 0             # <<<<<<<<<<<<<<
+ * 
+ *     if order == 'F' == get_best_order(&dst, ndim):
+ */
+      __pyx_r = 0;
+      goto __pyx_L0;
+
+      /* "View.MemoryView":1318
+ *             direct_copy = slice_is_contig(dst, 'F', ndim)
+ * 
+ *         if direct_copy:             # <<<<<<<<<<<<<<
+ * 
+ *             refcount_copying(&dst, dtype_is_object, ndim, False)
+ */
+    }
+
+    /* "View.MemoryView":1310
+ *         src = tmp
+ * 
+ *     if not broadcasting:             # <<<<<<<<<<<<<<
+ * 
+ * 
+ */
+  }
+
+  /* "View.MemoryView":1326
+ *             return 0
+ * 
+ *     if order == 'F' == get_best_order(&dst, ndim):             # <<<<<<<<<<<<<<
+ * 
+ * 
+ */
+  __pyx_t_2 = (__pyx_v_order == 'F');
+  if (__pyx_t_2) {
+    __pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim));
+  }
+  __pyx_t_8 = (__pyx_t_2 != 0);
+  if (__pyx_t_8) {
+
+    /* "View.MemoryView":1329
+ * 
+ * 
+ *         transpose_memslice(&src)             # <<<<<<<<<<<<<<
+ *         transpose_memslice(&dst)
+ * 
+ */
+    __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1329, __pyx_L1_error)
+
+    /* "View.MemoryView":1330
+ * 
+ *         transpose_memslice(&src)
+ *         transpose_memslice(&dst)             # <<<<<<<<<<<<<<
+ * 
+ *     refcount_copying(&dst, dtype_is_object, ndim, False)
+ */
+    __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1330, __pyx_L1_error)
+
+    /* "View.MemoryView":1326
+ *             return 0
+ * 
+ *     if order == 'F' == get_best_order(&dst, ndim):             # <<<<<<<<<<<<<<
+ * 
+ * 
+ */
+  }
+
+  /* "View.MemoryView":1332
+ *         transpose_memslice(&dst)
+ * 
+ *     refcount_copying(&dst, dtype_is_object, ndim, False)             # <<<<<<<<<<<<<<
+ *     copy_strided_to_strided(&src, &dst, ndim, itemsize)
+ *     refcount_copying(&dst, dtype_is_object, ndim, True)
+ */
+  __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
+
+  /* "View.MemoryView":1333
+ * 
+ *     refcount_copying(&dst, dtype_is_object, ndim, False)
+ *     copy_strided_to_strided(&src, &dst, ndim, itemsize)             # <<<<<<<<<<<<<<
+ *     refcount_copying(&dst, dtype_is_object, ndim, True)
+ * 
+ */
+  copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize);
+
+  /* "View.MemoryView":1334
+ *     refcount_copying(&dst, dtype_is_object, ndim, False)
+ *     copy_strided_to_strided(&src, &dst, ndim, itemsize)
+ *     refcount_copying(&dst, dtype_is_object, ndim, True)             # <<<<<<<<<<<<<<
+ * 
+ *     free(tmpdata)
+ */
+  __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
+
+  /* "View.MemoryView":1336
+ *     refcount_copying(&dst, dtype_is_object, ndim, True)
+ * 
+ *     free(tmpdata)             # <<<<<<<<<<<<<<
+ *     return 0
+ * 
+ */
+  free(__pyx_v_tmpdata);
+
+  /* "View.MemoryView":1337
+ * 
+ *     free(tmpdata)
+ *     return 0             # <<<<<<<<<<<<<<
+ * 
+ * @cname('__pyx_memoryview_broadcast_leading')
+ */
+  __pyx_r = 0;
+  goto __pyx_L0;
+
+  /* "View.MemoryView":1268
+ * 
+ * @cname('__pyx_memoryview_copy_contents')
+ * cdef int memoryview_copy_contents(__Pyx_memviewslice src,             # <<<<<<<<<<<<<<
+ *                                   __Pyx_memviewslice dst,
+ *                                   int src_ndim, int dst_ndim,
+ */
+
+  /* function exit code */
+  __pyx_L1_error:;
+  {
+    #ifdef WITH_THREAD
+    PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
+    #endif
+    __Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename);
+    #ifdef WITH_THREAD
+    __Pyx_PyGILState_Release(__pyx_gilstate_save);
+    #endif
+  }
+  __pyx_r = -1;
+  __pyx_L0:;
+  return __pyx_r;
+}
+
+/* "View.MemoryView":1340
+ * 
+ * @cname('__pyx_memoryview_broadcast_leading')
+ * cdef void broadcast_leading(__Pyx_memviewslice *mslice,             # <<<<<<<<<<<<<<
+ *                             int ndim,
+ *                             int ndim_other) nogil:
+ */
+
+static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) {
+  int __pyx_v_i;
+  int __pyx_v_offset;
+  int __pyx_t_1;
+  int __pyx_t_2;
+  int __pyx_t_3;
+
+  /* "View.MemoryView":1344
+ *                             int ndim_other) nogil:
+ *     cdef int i
+ *     cdef int offset = ndim_other - ndim             # <<<<<<<<<<<<<<
+ * 
+ *     for i in range(ndim - 1, -1, -1):
+ */
+  __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim);
+
+  /* "View.MemoryView":1346
+ *     cdef int offset = ndim_other - ndim
+ * 
+ *     for i in range(ndim - 1, -1, -1):             # <<<<<<<<<<<<<<
+ *         mslice.shape[i + offset] = mslice.shape[i]
+ *         mslice.strides[i + offset] = mslice.strides[i]
+ */
+  for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) {
+    __pyx_v_i = __pyx_t_1;
+
+    /* "View.MemoryView":1347
+ * 
+ *     for i in range(ndim - 1, -1, -1):
+ *         mslice.shape[i + offset] = mslice.shape[i]             # <<<<<<<<<<<<<<
+ *         mslice.strides[i + offset] = mslice.strides[i]
+ *         mslice.suboffsets[i + offset] = mslice.suboffsets[i]
+ */
+    (__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]);
+
+    /* "View.MemoryView":1348
+ *     for i in range(ndim - 1, -1, -1):
+ *         mslice.shape[i + offset] = mslice.shape[i]
+ *         mslice.strides[i + offset] = mslice.strides[i]             # <<<<<<<<<<<<<<
+ *         mslice.suboffsets[i + offset] = mslice.suboffsets[i]
+ * 
+ */
+    (__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]);
+
+    /* "View.MemoryView":1349
+ *         mslice.shape[i + offset] = mslice.shape[i]
+ *         mslice.strides[i + offset] = mslice.strides[i]
+ *         mslice.suboffsets[i + offset] = mslice.suboffsets[i]             # <<<<<<<<<<<<<<
+ * 
+ *     for i in range(offset):
+ */
+    (__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]);
+  }
+
+  /* "View.MemoryView":1351
+ *         mslice.suboffsets[i + offset] = mslice.suboffsets[i]
+ * 
+ *     for i in range(offset):             # <<<<<<<<<<<<<<
+ *         mslice.shape[i] = 1
+ *         mslice.strides[i] = mslice.strides[0]
+ */
+  __pyx_t_1 = __pyx_v_offset;
+  __pyx_t_2 = __pyx_t_1;
+  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
+    __pyx_v_i = __pyx_t_3;
+
+    /* "View.MemoryView":1352
+ * 
+ *     for i in range(offset):
+ *         mslice.shape[i] = 1             # <<<<<<<<<<<<<<
+ *         mslice.strides[i] = mslice.strides[0]
+ *         mslice.suboffsets[i] = -1
+ */
+    (__pyx_v_mslice->shape[__pyx_v_i]) = 1;
+
+    /* "View.MemoryView":1353
+ *     for i in range(offset):
+ *         mslice.shape[i] = 1
+ *         mslice.strides[i] = mslice.strides[0]             # <<<<<<<<<<<<<<
+ *         mslice.suboffsets[i] = -1
+ * 
+ */
+    (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]);
+
+    /* "View.MemoryView":1354
+ *         mslice.shape[i] = 1
+ *         mslice.strides[i] = mslice.strides[0]
+ *         mslice.suboffsets[i] = -1             # <<<<<<<<<<<<<<
+ * 
+ * 
+ */
+    (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L;
+  }
+
+  /* "View.MemoryView":1340
+ * 
+ * @cname('__pyx_memoryview_broadcast_leading')
+ * cdef void broadcast_leading(__Pyx_memviewslice *mslice,             # <<<<<<<<<<<<<<
+ *                             int ndim,
+ *                             int ndim_other) nogil:
+ */
+
+  /* function exit code */
+}
+
+/* "View.MemoryView":1362
+ * 
+ * @cname('__pyx_memoryview_refcount_copying')
+ * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object,             # <<<<<<<<<<<<<<
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+ */
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+  /* function exit code */
+}
+
+/* "View.MemoryView":1407
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+ *     cdef Py_ssize_t extent = shape[0]
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+static PyMethodDef __pyx_methods_Enum[] = {
+  {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, METH_NOARGS, 0},
+  {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, METH_O, 0},
+  {0, 0, 0, 0}
+};
+
+static PyTypeObject __pyx_type___pyx_MemviewEnum = {
+  PyVarObject_HEAD_INIT(0, 0)
+  "easyCore.Utils.coord_cython.Enum", /*tp_name*/
+  sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/
+  0, /*tp_itemsize*/
+  __pyx_tp_dealloc_Enum, /*tp_dealloc*/
+  #if PY_VERSION_HEX < 0x030800b4
+  0, /*tp_print*/
+  #endif
+  #if PY_VERSION_HEX >= 0x030800b4
+  0, /*tp_vectorcall_offset*/
+  #endif
+  0, /*tp_getattr*/
+  0, /*tp_setattr*/
+  #if PY_MAJOR_VERSION < 3
+  0, /*tp_compare*/
+  #endif
+  #if PY_MAJOR_VERSION >= 3
+  0, /*tp_as_async*/
+  #endif
+  __pyx_MemviewEnum___repr__, /*tp_repr*/
+  0, /*tp_as_number*/
+  0, /*tp_as_sequence*/
+  0, /*tp_as_mapping*/
+  0, /*tp_hash*/
+  0, /*tp_call*/
+  0, /*tp_str*/
+  0, /*tp_getattro*/
+  0, /*tp_setattro*/
+  0, /*tp_as_buffer*/
+  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
+  0, /*tp_doc*/
+  __pyx_tp_traverse_Enum, /*tp_traverse*/
+  __pyx_tp_clear_Enum, /*tp_clear*/
+  0, /*tp_richcompare*/
+  0, /*tp_weaklistoffset*/
+  0, /*tp_iter*/
+  0, /*tp_iternext*/
+  __pyx_methods_Enum, /*tp_methods*/
+  0, /*tp_members*/
+  0, /*tp_getset*/
+  0, /*tp_base*/
+  0, /*tp_dict*/
+  0, /*tp_descr_get*/
+  0, /*tp_descr_set*/
+  0, /*tp_dictoffset*/
+  __pyx_MemviewEnum___init__, /*tp_init*/
+  0, /*tp_alloc*/
+  __pyx_tp_new_Enum, /*tp_new*/
+  0, /*tp_free*/
+  0, /*tp_is_gc*/
+  0, /*tp_bases*/
+  0, /*tp_mro*/
+  0, /*tp_cache*/
+  0, /*tp_subclasses*/
+  0, /*tp_weaklist*/
+  0, /*tp_del*/
+  0, /*tp_version_tag*/
+  #if PY_VERSION_HEX >= 0x030400a1
+  0, /*tp_finalize*/
+  #endif
+  #if PY_VERSION_HEX >= 0x030800b1
+  0, /*tp_vectorcall*/
+  #endif
+  #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
+  0, /*tp_print*/
+  #endif
+};
+static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview;
+
+static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) {
+  struct __pyx_memoryview_obj *p;
+  PyObject *o;
+  if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
+    o = (*t->tp_alloc)(t, 0);
+  } else {
+    o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
+  }
+  if (unlikely(!o)) return 0;
+  p = ((struct __pyx_memoryview_obj *)o);
+  p->__pyx_vtab = __pyx_vtabptr_memoryview;
+  p->obj = Py_None; Py_INCREF(Py_None);
+  p->_size = Py_None; Py_INCREF(Py_None);
+  p->_array_interface = Py_None; Py_INCREF(Py_None);
+  p->view.obj = NULL;
+  if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad;
+  return o;
+  bad:
+  Py_DECREF(o); o = 0;
+  return NULL;
+}
+
+static void __pyx_tp_dealloc_memoryview(PyObject *o) {
+  struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
+  #if CYTHON_USE_TP_FINALIZE
+  if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
+    if (PyObject_CallFinalizerFromDealloc(o)) return;
+  }
+  #endif
+  PyObject_GC_UnTrack(o);
+  {
+    PyObject *etype, *eval, *etb;
+    PyErr_Fetch(&etype, &eval, &etb);
+    __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);
+    __pyx_memoryview___dealloc__(o);
+    __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);
+    PyErr_Restore(etype, eval, etb);
+  }
+  Py_CLEAR(p->obj);
+  Py_CLEAR(p->_size);
+  Py_CLEAR(p->_array_interface);
+  (*Py_TYPE(o)->tp_free)(o);
+}
+
+static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) {
+  int e;
+  struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
+  if (p->obj) {
+    e = (*v)(p->obj, a); if (e) return e;
+  }
+  if (p->_size) {
+    e = (*v)(p->_size, a); if (e) return e;
+  }
+  if (p->_array_interface) {
+    e = (*v)(p->_array_interface, a); if (e) return e;
+  }
+  if (p->view.obj) {
+    e = (*v)(p->view.obj, a); if (e) return e;
+  }
+  return 0;
+}
+
+static int __pyx_tp_clear_memoryview(PyObject *o) {
+  PyObject* tmp;
+  struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
+  tmp = ((PyObject*)p->obj);
+  p->obj = Py_None; Py_INCREF(Py_None);
+  Py_XDECREF(tmp);
+  tmp = ((PyObject*)p->_size);
+  p->_size = Py_None; Py_INCREF(Py_None);
+  Py_XDECREF(tmp);
+  tmp = ((PyObject*)p->_array_interface);
+  p->_array_interface = Py_None; Py_INCREF(Py_None);
+  Py_XDECREF(tmp);
+  Py_CLEAR(p->view.obj);
+  return 0;
+}
+static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) {
+  PyObject *r;
+  PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;
+  r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);
+  Py_DECREF(x);
+  return r;
+}
+
+static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) {
+  if (v) {
+    return __pyx_memoryview___setitem__(o, i, v);
+  }
+  else {
+    PyErr_Format(PyExc_NotImplementedError,
+      "Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name);
+    return -1;
+  }
+}
+
+static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) {
+  return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o);
+}
+
+static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) {
+  return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o);
+}
+
+static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) {
+  return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o);
+}
+
+static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) {
+  return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o);
+}
+
+static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) {
+  return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o);
+}
+
+static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) {
+  return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o);
+}
+
+static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) {
+  return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o);
+}
+
+static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) {
+  return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o);
+}
+
+static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) {
+  return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o);
+}
+
+static PyMethodDef __pyx_methods_memoryview[] = {
+  {"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0},
+  {"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0},
+  {"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0},
+  {"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0},
+  {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_1__reduce_cython__, METH_NOARGS, 0},
+  {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_3__setstate_cython__, METH_O, 0},
+  {0, 0, 0, 0}
+};
+
+static struct PyGetSetDef __pyx_getsets_memoryview[] = {
+  {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0},
+  {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0},
+  {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0},
+  {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0},
+  {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0},
+  {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0},
+  {(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0},
+  {(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0},
+  {(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0},
+  {0, 0, 0, 0, 0}
+};
+
+static PySequenceMethods __pyx_tp_as_sequence_memoryview = {
+  __pyx_memoryview___len__, /*sq_length*/
+  0, /*sq_concat*/
+  0, /*sq_repeat*/
+  __pyx_sq_item_memoryview, /*sq_item*/
+  0, /*sq_slice*/
+  0, /*sq_ass_item*/
+  0, /*sq_ass_slice*/
+  0, /*sq_contains*/
+  0, /*sq_inplace_concat*/
+  0, /*sq_inplace_repeat*/
+};
+
+static PyMappingMethods __pyx_tp_as_mapping_memoryview = {
+  __pyx_memoryview___len__, /*mp_length*/
+  __pyx_memoryview___getitem__, /*mp_subscript*/
+  __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/
+};
+
+static PyBufferProcs __pyx_tp_as_buffer_memoryview = {
+  #if PY_MAJOR_VERSION < 3
+  0, /*bf_getreadbuffer*/
+  #endif
+  #if PY_MAJOR_VERSION < 3
+  0, /*bf_getwritebuffer*/
+  #endif
+  #if PY_MAJOR_VERSION < 3
+  0, /*bf_getsegcount*/
+  #endif
+  #if PY_MAJOR_VERSION < 3
+  0, /*bf_getcharbuffer*/
+  #endif
+  __pyx_memoryview_getbuffer, /*bf_getbuffer*/
+  0, /*bf_releasebuffer*/
+};
+
+static PyTypeObject __pyx_type___pyx_memoryview = {
+  PyVarObject_HEAD_INIT(0, 0)
+  "easyCore.Utils.coord_cython.memoryview", /*tp_name*/
+  sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/
+  0, /*tp_itemsize*/
+  __pyx_tp_dealloc_memoryview, /*tp_dealloc*/
+  #if PY_VERSION_HEX < 0x030800b4
+  0, /*tp_print*/
+  #endif
+  #if PY_VERSION_HEX >= 0x030800b4
+  0, /*tp_vectorcall_offset*/
+  #endif
+  0, /*tp_getattr*/
+  0, /*tp_setattr*/
+  #if PY_MAJOR_VERSION < 3
+  0, /*tp_compare*/
+  #endif
+  #if PY_MAJOR_VERSION >= 3
+  0, /*tp_as_async*/
+  #endif
+  __pyx_memoryview___repr__, /*tp_repr*/
+  0, /*tp_as_number*/
+  &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/
+  &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/
+  0, /*tp_hash*/
+  0, /*tp_call*/
+  __pyx_memoryview___str__, /*tp_str*/
+  0, /*tp_getattro*/
+  0, /*tp_setattro*/
+  &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/
+  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
+  0, /*tp_doc*/
+  __pyx_tp_traverse_memoryview, /*tp_traverse*/
+  __pyx_tp_clear_memoryview, /*tp_clear*/
+  0, /*tp_richcompare*/
+  0, /*tp_weaklistoffset*/
+  0, /*tp_iter*/
+  0, /*tp_iternext*/
+  __pyx_methods_memoryview, /*tp_methods*/
+  0, /*tp_members*/
+  __pyx_getsets_memoryview, /*tp_getset*/
+  0, /*tp_base*/
+  0, /*tp_dict*/
+  0, /*tp_descr_get*/
+  0, /*tp_descr_set*/
+  0, /*tp_dictoffset*/
+  0, /*tp_init*/
+  0, /*tp_alloc*/
+  __pyx_tp_new_memoryview, /*tp_new*/
+  0, /*tp_free*/
+  0, /*tp_is_gc*/
+  0, /*tp_bases*/
+  0, /*tp_mro*/
+  0, /*tp_cache*/
+  0, /*tp_subclasses*/
+  0, /*tp_weaklist*/
+  0, /*tp_del*/
+  0, /*tp_version_tag*/
+  #if PY_VERSION_HEX >= 0x030400a1
+  0, /*tp_finalize*/
+  #endif
+  #if PY_VERSION_HEX >= 0x030800b1
+  0, /*tp_vectorcall*/
+  #endif
+  #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
+  0, /*tp_print*/
+  #endif
+};
+static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice;
+
+static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) {
+  struct __pyx_memoryviewslice_obj *p;
+  PyObject *o = __pyx_tp_new_memoryview(t, a, k);
+  if (unlikely(!o)) return 0;
+  p = ((struct __pyx_memoryviewslice_obj *)o);
+  p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice;
+  p->from_object = Py_None; Py_INCREF(Py_None);
+  p->from_slice.memview = NULL;
+  return o;
+}
+
+static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) {
+  struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
+  #if CYTHON_USE_TP_FINALIZE
+  if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
+    if (PyObject_CallFinalizerFromDealloc(o)) return;
+  }
+  #endif
+  PyObject_GC_UnTrack(o);
+  {
+    PyObject *etype, *eval, *etb;
+    PyErr_Fetch(&etype, &eval, &etb);
+    __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);
+    __pyx_memoryviewslice___dealloc__(o);
+    __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);
+    PyErr_Restore(etype, eval, etb);
+  }
+  Py_CLEAR(p->from_object);
+  PyObject_GC_Track(o);
+  __pyx_tp_dealloc_memoryview(o);
+}
+
+static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) {
+  int e;
+  struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
+  e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e;
+  if (p->from_object) {
+    e = (*v)(p->from_object, a); if (e) return e;
+  }
+  return 0;
+}
+
+static int __pyx_tp_clear__memoryviewslice(PyObject *o) {
+  PyObject* tmp;
+  struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
+  __pyx_tp_clear_memoryview(o);
+  tmp = ((PyObject*)p->from_object);
+  p->from_object = Py_None; Py_INCREF(Py_None);
+  Py_XDECREF(tmp);
+  __PYX_XDEC_MEMVIEW(&p->from_slice, 1);
+  return 0;
+}
+
+static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) {
+  return __pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(o);
+}
+
+static PyMethodDef __pyx_methods__memoryviewslice[] = {
+  {"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_1__reduce_cython__, METH_NOARGS, 0},
+  {"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_3__setstate_cython__, METH_O, 0},
+  {0, 0, 0, 0}
+};
+
+static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = {
+  {(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, (char *)0, 0},
+  {0, 0, 0, 0, 0}
+};
+
+static PyTypeObject __pyx_type___pyx_memoryviewslice = {
+  PyVarObject_HEAD_INIT(0, 0)
+  "easyCore.Utils.coord_cython._memoryviewslice", /*tp_name*/
+  sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/
+  0, /*tp_itemsize*/
+  __pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/
+  #if PY_VERSION_HEX < 0x030800b4
+  0, /*tp_print*/
+  #endif
+  #if PY_VERSION_HEX >= 0x030800b4
+  0, /*tp_vectorcall_offset*/
+  #endif
+  0, /*tp_getattr*/
+  0, /*tp_setattr*/
+  #if PY_MAJOR_VERSION < 3
+  0, /*tp_compare*/
+  #endif
+  #if PY_MAJOR_VERSION >= 3
+  0, /*tp_as_async*/
+  #endif
+  #if CYTHON_COMPILING_IN_PYPY
+  __pyx_memoryview___repr__, /*tp_repr*/
+  #else
+  0, /*tp_repr*/
+  #endif
+  0, /*tp_as_number*/
+  0, /*tp_as_sequence*/
+  0, /*tp_as_mapping*/
+  0, /*tp_hash*/
+  0, /*tp_call*/
+  #if CYTHON_COMPILING_IN_PYPY
+  __pyx_memoryview___str__, /*tp_str*/
+  #else
+  0, /*tp_str*/
+  #endif
+  0, /*tp_getattro*/
+  0, /*tp_setattro*/
+  0, /*tp_as_buffer*/
+  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
+  "Internal class for passing memoryview slices to Python", /*tp_doc*/
+  __pyx_tp_traverse__memoryviewslice, /*tp_traverse*/
+  __pyx_tp_clear__memoryviewslice, /*tp_clear*/
+  0, /*tp_richcompare*/
+  0, /*tp_weaklistoffset*/
+  0, /*tp_iter*/
+  0, /*tp_iternext*/
+  __pyx_methods__memoryviewslice, /*tp_methods*/
+  0, /*tp_members*/
+  __pyx_getsets__memoryviewslice, /*tp_getset*/
+  0, /*tp_base*/
+  0, /*tp_dict*/
+  0, /*tp_descr_get*/
+  0, /*tp_descr_set*/
+  0, /*tp_dictoffset*/
+  0, /*tp_init*/
+  0, /*tp_alloc*/
+  __pyx_tp_new__memoryviewslice, /*tp_new*/
+  0, /*tp_free*/
+  0, /*tp_is_gc*/
+  0, /*tp_bases*/
+  0, /*tp_mro*/
+  0, /*tp_cache*/
+  0, /*tp_subclasses*/
+  0, /*tp_weaklist*/
+  0, /*tp_del*/
+  0, /*tp_version_tag*/
+  #if PY_VERSION_HEX >= 0x030400a1
+  0, /*tp_finalize*/
+  #endif
+  #if PY_VERSION_HEX >= 0x030800b1
+  0, /*tp_vectorcall*/
+  #endif
+  #if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
+  0, /*tp_print*/
+  #endif
+};
+
+static PyMethodDef __pyx_methods[] = {
+  {0, 0, 0, 0}
+};
+
+#if PY_MAJOR_VERSION >= 3
+#if CYTHON_PEP489_MULTI_PHASE_INIT
+static PyObject* __pyx_pymod_create(PyObject *spec, PyModuleDef *def); /*proto*/
+static int __pyx_pymod_exec_coord_cython(PyObject* module); /*proto*/
+static PyModuleDef_Slot __pyx_moduledef_slots[] = {
+  {Py_mod_create, (void*)__pyx_pymod_create},
+  {Py_mod_exec, (void*)__pyx_pymod_exec_coord_cython},
+  {0, NULL}
+};
+#endif
+
+static struct PyModuleDef __pyx_moduledef = {
+    PyModuleDef_HEAD_INIT,
+    "coord_cython",
+    __pyx_k_Utilities_for_manipulating_coor, /* m_doc */
+  #if CYTHON_PEP489_MULTI_PHASE_INIT
+    0, /* m_size */
+  #else
+    -1, /* m_size */
+  #endif
+    __pyx_methods /* m_methods */,
+  #if CYTHON_PEP489_MULTI_PHASE_INIT
+    __pyx_moduledef_slots, /* m_slots */
+  #else
+    NULL, /* m_reload */
+  #endif
+    NULL, /* m_traverse */
+    NULL, /* m_clear */
+    NULL /* m_free */
+};
+#endif
+#ifndef CYTHON_SMALL_CODE
+#if defined(__clang__)
+    #define CYTHON_SMALL_CODE
+#elif defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 3))
+    #define CYTHON_SMALL_CODE __attribute__((cold))
+#else
+    #define CYTHON_SMALL_CODE
+#endif
+#endif
+
+static __Pyx_StringTabEntry __pyx_string_tab[] = {
+  {&__pyx_kp_s_1_0, __pyx_k_1_0, sizeof(__pyx_k_1_0), 0, 0, 1, 0},
+  {&__pyx_n_s_ASCII, __pyx_k_ASCII, sizeof(__pyx_k_ASCII), 0, 0, 1, 1},
+  {&__pyx_kp_s_Buffer_view_does_not_expose_stri, __pyx_k_Buffer_view_does_not_expose_stri, sizeof(__pyx_k_Buffer_view_does_not_expose_stri), 0, 0, 1, 0},
+  {&__pyx_n_s_C, __pyx_k_C, sizeof(__pyx_k_C), 0, 0, 1, 1},
+  {&__pyx_kp_s_Can_only_create_a_buffer_that_is, __pyx_k_Can_only_create_a_buffer_that_is, sizeof(__pyx_k_Can_only_create_a_buffer_that_is), 0, 0, 1, 0},
+  {&__pyx_kp_s_Cannot_assign_to_read_only_memor, __pyx_k_Cannot_assign_to_read_only_memor, sizeof(__pyx_k_Cannot_assign_to_read_only_memor), 0, 0, 1, 0},
+  {&__pyx_kp_s_Cannot_create_writable_memory_vi, __pyx_k_Cannot_create_writable_memory_vi, sizeof(__pyx_k_Cannot_create_writable_memory_vi), 0, 0, 1, 0},
+  {&__pyx_kp_s_Cannot_index_with_type_s, __pyx_k_Cannot_index_with_type_s, sizeof(__pyx_k_Cannot_index_with_type_s), 0, 0, 1, 0},
+  {&__pyx_kp_s_Copyright_2011_The_Materials_Pro, __pyx_k_Copyright_2011_The_Materials_Pro, sizeof(__pyx_k_Copyright_2011_The_Materials_Pro), 0, 0, 1, 0},
+  {&__pyx_n_s_Ellipsis, __pyx_k_Ellipsis, sizeof(__pyx_k_Ellipsis), 0, 0, 1, 1},
+  {&__pyx_kp_s_Empty_shape_tuple_for_cython_arr, __pyx_k_Empty_shape_tuple_for_cython_arr, sizeof(__pyx_k_Empty_shape_tuple_for_cython_arr), 0, 0, 1, 0},
+  {&__pyx_kp_u_Format_string_allocated_too_shor, __pyx_k_Format_string_allocated_too_shor, sizeof(__pyx_k_Format_string_allocated_too_shor), 0, 1, 0, 0},
+  {&__pyx_kp_u_Format_string_allocated_too_shor_2, __pyx_k_Format_string_allocated_too_shor_2, sizeof(__pyx_k_Format_string_allocated_too_shor_2), 0, 1, 0, 0},
+  {&__pyx_n_s_I, __pyx_k_I, sizeof(__pyx_k_I), 0, 0, 1, 1},
+  {&__pyx_n_s_ImportError, __pyx_k_ImportError, sizeof(__pyx_k_ImportError), 0, 0, 1, 1},
+  {&__pyx_kp_s_Incompatible_checksums_s_vs_0xb0, __pyx_k_Incompatible_checksums_s_vs_0xb0, sizeof(__pyx_k_Incompatible_checksums_s_vs_0xb0), 0, 0, 1, 0},
+  {&__pyx_n_s_IndexError, __pyx_k_IndexError, sizeof(__pyx_k_IndexError), 0, 0, 1, 1},
+  {&__pyx_kp_s_Indirect_dimensions_not_supporte, __pyx_k_Indirect_dimensions_not_supporte, sizeof(__pyx_k_Indirect_dimensions_not_supporte), 0, 0, 1, 0},
+  {&__pyx_kp_s_Invalid_mode_expected_c_or_fortr, __pyx_k_Invalid_mode_expected_c_or_fortr, sizeof(__pyx_k_Invalid_mode_expected_c_or_fortr), 0, 0, 1, 0},
+  {&__pyx_kp_s_Invalid_shape_in_axis_d_d, __pyx_k_Invalid_shape_in_axis_d_d, sizeof(__pyx_k_Invalid_shape_in_axis_d_d), 0, 0, 1, 0},
+  {&__pyx_n_s_J, __pyx_k_J, sizeof(__pyx_k_J), 0, 0, 1, 1},
+  {&__pyx_n_s_MemoryError, __pyx_k_MemoryError, sizeof(__pyx_k_MemoryError), 0, 0, 1, 1},
+  {&__pyx_kp_s_MemoryView_of_r_at_0x_x, __pyx_k_MemoryView_of_r_at_0x_x, sizeof(__pyx_k_MemoryView_of_r_at_0x_x), 0, 0, 1, 0},
+  {&__pyx_kp_s_MemoryView_of_r_object, __pyx_k_MemoryView_of_r_object, sizeof(__pyx_k_MemoryView_of_r_object), 0, 0, 1, 0},
+  {&__pyx_kp_u_Non_native_byte_order_not_suppor, __pyx_k_Non_native_byte_order_not_suppor, sizeof(__pyx_k_Non_native_byte_order_not_suppor), 0, 1, 0, 0},
+  {&__pyx_kp_s_Nov_27_2011, __pyx_k_Nov_27_2011, sizeof(__pyx_k_Nov_27_2011), 0, 0, 1, 0},
+  {&__pyx_n_b_O, __pyx_k_O, sizeof(__pyx_k_O), 0, 0, 0, 1},
+  {&__pyx_kp_s_Out_of_bounds_on_buffer_access_a, __pyx_k_Out_of_bounds_on_buffer_access_a, sizeof(__pyx_k_Out_of_bounds_on_buffer_access_a), 0, 0, 1, 0},
+  {&__pyx_n_s_PickleError, __pyx_k_PickleError, sizeof(__pyx_k_PickleError), 0, 0, 1, 1},
+  {&__pyx_n_s_RuntimeError, __pyx_k_RuntimeError, sizeof(__pyx_k_RuntimeError), 0, 0, 1, 1},
+  {&__pyx_kp_s_Something_wrong_with_the_inputs, __pyx_k_Something_wrong_with_the_inputs, sizeof(__pyx_k_Something_wrong_with_the_inputs), 0, 0, 1, 0},
+  {&__pyx_kp_b_T, __pyx_k_T, sizeof(__pyx_k_T), 0, 0, 0, 0},
+  {&__pyx_n_s_TypeError, __pyx_k_TypeError, sizeof(__pyx_k_TypeError), 0, 0, 1, 1},
+  {&__pyx_kp_s_Unable_to_convert_item_to_object, __pyx_k_Unable_to_convert_item_to_object, sizeof(__pyx_k_Unable_to_convert_item_to_object), 0, 0, 1, 0},
+  {&__pyx_n_s_ValueError, __pyx_k_ValueError, sizeof(__pyx_k_ValueError), 0, 0, 1, 1},
+  {&__pyx_n_s_View_MemoryView, __pyx_k_View_MemoryView, sizeof(__pyx_k_View_MemoryView), 0, 0, 1, 1},
+  {&__pyx_kp_s_Will_Richards, __pyx_k_Will_Richards, sizeof(__pyx_k_Will_Richards), 0, 0, 1, 0},
+  {&__pyx_kp_b__26, __pyx_k__26, sizeof(__pyx_k__26), 0, 0, 0, 0},
+  {&__pyx_kp_b__27, __pyx_k__27, sizeof(__pyx_k__27), 0, 0, 0, 0},
+  {&__pyx_kp_b__28, __pyx_k__28, sizeof(__pyx_k__28), 0, 0, 0, 0},
+  {&__pyx_kp_b__29, __pyx_k__29, sizeof(__pyx_k__29), 0, 0, 0, 0},
+  {&__pyx_kp_u__30, __pyx_k__30, sizeof(__pyx_k__30), 0, 1, 0, 0},
+  {&__pyx_n_s_allocate_buffer, __pyx_k_allocate_buffer, sizeof(__pyx_k_allocate_buffer), 0, 0, 1, 1},
+  {&__pyx_n_s_arange, __pyx_k_arange, sizeof(__pyx_k_arange), 0, 0, 1, 1},
+  {&__pyx_n_s_array, __pyx_k_array, sizeof(__pyx_k_array), 0, 0, 1, 1},
+  {&__pyx_n_s_atleast_2d, __pyx_k_atleast_2d, sizeof(__pyx_k_atleast_2d), 0, 0, 1, 1},
+  {&__pyx_n_s_atol, __pyx_k_atol, sizeof(__pyx_k_atol), 0, 0, 1, 1},
+  {&__pyx_n_s_author, __pyx_k_author, sizeof(__pyx_k_author), 0, 0, 1, 1},
+  {&__pyx_n_s_base, __pyx_k_base, sizeof(__pyx_k_base), 0, 0, 1, 1},
+  {&__pyx_n_s_best, __pyx_k_best, sizeof(__pyx_k_best), 0, 0, 1, 1},
+  {&__pyx_n_s_bestK, __pyx_k_bestK, sizeof(__pyx_k_bestK), 0, 0, 1, 1},
+  {&__pyx_n_s_bestk, __pyx_k_bestk, sizeof(__pyx_k_bestk), 0, 0, 1, 1},
+  {&__pyx_n_s_brange, __pyx_k_brange, sizeof(__pyx_k_brange), 0, 0, 1, 1},
+  {&__pyx_n_s_c, __pyx_k_c, sizeof(__pyx_k_c), 0, 0, 1, 1},
+  {&__pyx_n_u_c, __pyx_k_c, sizeof(__pyx_k_c), 0, 1, 0, 1},
+  {&__pyx_n_s_c_inds, __pyx_k_c_inds, sizeof(__pyx_k_c_inds), 0, 0, 1, 1},
+  {&__pyx_n_s_cart_f1, __pyx_k_cart_f1, sizeof(__pyx_k_cart_f1), 0, 0, 1, 1},
+  {&__pyx_n_s_cart_f2, __pyx_k_cart_f2, sizeof(__pyx_k_cart_f2), 0, 0, 1, 1},
+  {&__pyx_n_s_cart_im, __pyx_k_cart_im, sizeof(__pyx_k_cart_im), 0, 0, 1, 1},
+  {&__pyx_n_s_class, __pyx_k_class, sizeof(__pyx_k_class), 0, 0, 1, 1},
+  {&__pyx_n_s_cline_in_traceback, __pyx_k_cline_in_traceback, sizeof(__pyx_k_cline_in_traceback), 0, 0, 1, 1},
+  {&__pyx_kp_s_contiguous_and_direct, __pyx_k_contiguous_and_direct, sizeof(__pyx_k_contiguous_and_direct), 0, 0, 1, 0},
+  {&__pyx_kp_s_contiguous_and_indirect, __pyx_k_contiguous_and_indirect, sizeof(__pyx_k_contiguous_and_indirect), 0, 0, 1, 0},
+  {&__pyx_n_s_coord_list_mapping_pbc, __pyx_k_coord_list_mapping_pbc, sizeof(__pyx_k_coord_list_mapping_pbc), 0, 0, 1, 1},
+  {&__pyx_n_s_copy, __pyx_k_copy, sizeof(__pyx_k_copy), 0, 0, 1, 1},
+  {&__pyx_n_s_copyright, __pyx_k_copyright, sizeof(__pyx_k_copyright), 0, 0, 1, 1},
+  {&__pyx_n_s_crange, __pyx_k_crange, sizeof(__pyx_k_crange), 0, 0, 1, 1},
+  {&__pyx_n_s_d, __pyx_k_d, sizeof(__pyx_k_d), 0, 0, 1, 1},
+  {&__pyx_n_s_d2, __pyx_k_d2, sizeof(__pyx_k_d2), 0, 0, 1, 1},
+  {&__pyx_n_s_da, __pyx_k_da, sizeof(__pyx_k_da), 0, 0, 1, 1},
+  {&__pyx_n_s_date, __pyx_k_date, sizeof(__pyx_k_date), 0, 0, 1, 1},
+  {&__pyx_n_s_db, __pyx_k_db, sizeof(__pyx_k_db), 0, 0, 1, 1},
+  {&__pyx_n_s_dc, __pyx_k_dc, sizeof(__pyx_k_dc), 0, 0, 1, 1},
+  {&__pyx_n_s_dict, __pyx_k_dict, sizeof(__pyx_k_dict), 0, 0, 1, 1},
+  {&__pyx_n_s_ds, __pyx_k_ds, sizeof(__pyx_k_ds), 0, 0, 1, 1},
+  {&__pyx_n_s_dtype, __pyx_k_dtype, sizeof(__pyx_k_dtype), 0, 0, 1, 1},
+  {&__pyx_n_s_dtype_is_object, __pyx_k_dtype_is_object, sizeof(__pyx_k_dtype_is_object), 0, 0, 1, 1},
+  {&__pyx_n_s_easyCore_Utils_coord_cython, __pyx_k_easyCore_Utils_coord_cython, sizeof(__pyx_k_easyCore_Utils_coord_cython), 0, 0, 1, 1},
+  {&__pyx_kp_s_easyCore_Utils_coord_cython_pyx, __pyx_k_easyCore_Utils_coord_cython_pyx, sizeof(__pyx_k_easyCore_Utils_coord_cython_pyx), 0, 0, 1, 0},
+  {&__pyx_n_s_email, __pyx_k_email, sizeof(__pyx_k_email), 0, 0, 1, 1},
+  {&__pyx_n_s_empty, __pyx_k_empty, sizeof(__pyx_k_empty), 0, 0, 1, 1},
+  {&__pyx_n_s_encode, __pyx_k_encode, sizeof(__pyx_k_encode), 0, 0, 1, 1},
+  {&__pyx_n_s_enumerate, __pyx_k_enumerate, sizeof(__pyx_k_enumerate), 0, 0, 1, 1},
+  {&__pyx_n_s_error, __pyx_k_error, sizeof(__pyx_k_error), 0, 0, 1, 1},
+  {&__pyx_n_s_fc1, __pyx_k_fc1, sizeof(__pyx_k_fc1), 0, 0, 1, 1},
+  {&__pyx_n_s_fc2, __pyx_k_fc2, sizeof(__pyx_k_fc2), 0, 0, 1, 1},
+  {&__pyx_n_s_fcoords1, __pyx_k_fcoords1, sizeof(__pyx_k_fcoords1), 0, 0, 1, 1},
+  {&__pyx_n_s_fcoords2, __pyx_k_fcoords2, sizeof(__pyx_k_fcoords2), 0, 0, 1, 1},
+  {&__pyx_n_s_fdist, __pyx_k_fdist, sizeof(__pyx_k_fdist), 0, 0, 1, 1},
+  {&__pyx_n_s_flags, __pyx_k_flags, sizeof(__pyx_k_flags), 0, 0, 1, 1},
+  {&__pyx_n_s_float, __pyx_k_float, sizeof(__pyx_k_float), 0, 0, 1, 1},
+  {&__pyx_n_s_format, __pyx_k_format, sizeof(__pyx_k_format), 0, 0, 1, 1},
+  {&__pyx_n_s_fortran, __pyx_k_fortran, sizeof(__pyx_k_fortran), 0, 0, 1, 1},
+  {&__pyx_n_u_fortran, __pyx_k_fortran, sizeof(__pyx_k_fortran), 0, 1, 0, 1},
+  {&__pyx_n_s_ftol, __pyx_k_ftol, sizeof(__pyx_k_ftol), 0, 0, 1, 1},
+  {&__pyx_n_s_get_lll_frac_coords, __pyx_k_get_lll_frac_coords, sizeof(__pyx_k_get_lll_frac_coords), 0, 0, 1, 1},
+  {&__pyx_n_s_getstate, __pyx_k_getstate, sizeof(__pyx_k_getstate), 0, 0, 1, 1},
+  {&__pyx_kp_s_got_differing_extents_in_dimensi, __pyx_k_got_differing_extents_in_dimensi, sizeof(__pyx_k_got_differing_extents_in_dimensi), 0, 0, 1, 0},
+  {&__pyx_n_s_has_ftol, __pyx_k_has_ftol, sizeof(__pyx_k_has_ftol), 0, 0, 1, 1},
+  {&__pyx_n_s_has_mask, __pyx_k_has_mask, sizeof(__pyx_k_has_mask), 0, 0, 1, 1},
+  {&__pyx_n_s_i, __pyx_k_i, sizeof(__pyx_k_i), 0, 0, 1, 1},
+  {&__pyx_n_s_id, __pyx_k_id, sizeof(__pyx_k_id), 0, 0, 1, 1},
+  {&__pyx_n_s_images, __pyx_k_images, sizeof(__pyx_k_images), 0, 0, 1, 1},
+  {&__pyx_n_s_images_t, __pyx_k_images_t, sizeof(__pyx_k_images_t), 0, 0, 1, 1},
+  {&__pyx_n_s_import, __pyx_k_import, sizeof(__pyx_k_import), 0, 0, 1, 1},
+  {&__pyx_n_s_inc_d, __pyx_k_inc_d, sizeof(__pyx_k_inc_d), 0, 0, 1, 1},
+  {&__pyx_n_s_inds, __pyx_k_inds, sizeof(__pyx_k_inds), 0, 0, 1, 1},
+  {&__pyx_n_s_int, __pyx_k_int, sizeof(__pyx_k_int), 0, 0, 1, 1},
+  {&__pyx_n_s_int_2, __pyx_k_int_2, sizeof(__pyx_k_int_2), 0, 0, 1, 1},
+  {&__pyx_n_s_is_coord_subset_pbc, __pyx_k_is_coord_subset_pbc, sizeof(__pyx_k_is_coord_subset_pbc), 0, 0, 1, 1},
+  {&__pyx_n_s_itemsize, __pyx_k_itemsize, sizeof(__pyx_k_itemsize), 0, 0, 1, 1},
+  {&__pyx_kp_s_itemsize_0_for_cython_array, __pyx_k_itemsize_0_for_cython_array, sizeof(__pyx_k_itemsize_0_for_cython_array), 0, 0, 1, 0},
+  {&__pyx_n_s_j, __pyx_k_j, sizeof(__pyx_k_j), 0, 0, 1, 1},
+  {&__pyx_n_s_join, __pyx_k_join, sizeof(__pyx_k_join), 0, 0, 1, 1},
+  {&__pyx_n_s_k, __pyx_k_k, sizeof(__pyx_k_k), 0, 0, 1, 1},
+  {&__pyx_n_s_l, __pyx_k_l, sizeof(__pyx_k_l), 0, 0, 1, 1},
+  {&__pyx_n_s_lat, __pyx_k_lat, sizeof(__pyx_k_lat), 0, 0, 1, 1},
+  {&__pyx_n_s_lattice, __pyx_k_lattice, sizeof(__pyx_k_lattice), 0, 0, 1, 1},
+  {&__pyx_n_s_lll_frac_tol, __pyx_k_lll_frac_tol, sizeof(__pyx_k_lll_frac_tol), 0, 0, 1, 1},
+  {&__pyx_n_s_lll_matrix, __pyx_k_lll_matrix, sizeof(__pyx_k_lll_matrix), 0, 0, 1, 1},
+  {&__pyx_n_s_m, __pyx_k_m, sizeof(__pyx_k_m), 0, 0, 1, 1},
+  {&__pyx_n_s_main, __pyx_k_main, sizeof(__pyx_k_main), 0, 0, 1, 1},
+  {&__pyx_n_s_maintainer, __pyx_k_maintainer, sizeof(__pyx_k_maintainer), 0, 0, 1, 1},
+  {&__pyx_n_s_mask, __pyx_k_mask, sizeof(__pyx_k_mask), 0, 0, 1, 1},
+  {&__pyx_n_s_memview, __pyx_k_memview, sizeof(__pyx_k_memview), 0, 0, 1, 1},
+  {&__pyx_n_s_mode, __pyx_k_mode, sizeof(__pyx_k_mode), 0, 0, 1, 1},
+  {&__pyx_n_s_name, __pyx_k_name, sizeof(__pyx_k_name), 0, 0, 1, 1},
+  {&__pyx_n_s_name_2, __pyx_k_name_2, sizeof(__pyx_k_name_2), 0, 0, 1, 1},
+  {&__pyx_n_s_ndim, __pyx_k_ndim, sizeof(__pyx_k_ndim), 0, 0, 1, 1},
+  {&__pyx_n_s_new, __pyx_k_new, sizeof(__pyx_k_new), 0, 0, 1, 1},
+  {&__pyx_kp_s_no_default___reduce___due_to_non, __pyx_k_no_default___reduce___due_to_non, sizeof(__pyx_k_no_default___reduce___due_to_non), 0, 0, 1, 0},
+  {&__pyx_n_s_np, __pyx_k_np, sizeof(__pyx_k_np), 0, 0, 1, 1},
+  {&__pyx_n_s_numpy, __pyx_k_numpy, sizeof(__pyx_k_numpy), 0, 0, 1, 1},
+  {&__pyx_kp_s_numpy_core_multiarray_failed_to, __pyx_k_numpy_core_multiarray_failed_to, sizeof(__pyx_k_numpy_core_multiarray_failed_to), 0, 0, 1, 0},
+  {&__pyx_kp_s_numpy_core_umath_failed_to_impor, __pyx_k_numpy_core_umath_failed_to_impor, sizeof(__pyx_k_numpy_core_umath_failed_to_impor), 0, 0, 1, 0},
+  {&__pyx_n_s_obj, __pyx_k_obj, sizeof(__pyx_k_obj), 0, 0, 1, 1},
+  {&__pyx_n_s_ok, __pyx_k_ok, sizeof(__pyx_k_ok), 0, 0, 1, 1},
+  {&__pyx_n_s_ok_inner, __pyx_k_ok_inner, sizeof(__pyx_k_ok_inner), 0, 0, 1, 1},
+  {&__pyx_n_s_ok_outer, __pyx_k_ok_outer, sizeof(__pyx_k_ok_outer), 0, 0, 1, 1},
+  {&__pyx_n_s_order, __pyx_k_order, sizeof(__pyx_k_order), 0, 0, 1, 1},
+  {&__pyx_n_s_pack, __pyx_k_pack, sizeof(__pyx_k_pack), 0, 0, 1, 1},
+  {&__pyx_n_s_pbc_shortest_vectors, __pyx_k_pbc_shortest_vectors, sizeof(__pyx_k_pbc_shortest_vectors), 0, 0, 1, 1},
+  {&__pyx_n_s_pickle, __pyx_k_pickle, sizeof(__pyx_k_pickle), 0, 0, 1, 1},
+  {&__pyx_n_s_pre_im, __pyx_k_pre_im, sizeof(__pyx_k_pre_im), 0, 0, 1, 1},
+  {&__pyx_n_s_pyx_PickleError, __pyx_k_pyx_PickleError, sizeof(__pyx_k_pyx_PickleError), 0, 0, 1, 1},
+  {&__pyx_n_s_pyx_checksum, __pyx_k_pyx_checksum, sizeof(__pyx_k_pyx_checksum), 0, 0, 1, 1},
+  {&__pyx_n_s_pyx_getbuffer, __pyx_k_pyx_getbuffer, sizeof(__pyx_k_pyx_getbuffer), 0, 0, 1, 1},
+  {&__pyx_n_s_pyx_result, __pyx_k_pyx_result, sizeof(__pyx_k_pyx_result), 0, 0, 1, 1},
+  {&__pyx_n_s_pyx_state, __pyx_k_pyx_state, sizeof(__pyx_k_pyx_state), 0, 0, 1, 1},
+  {&__pyx_n_s_pyx_type, __pyx_k_pyx_type, sizeof(__pyx_k_pyx_type), 0, 0, 1, 1},
+  {&__pyx_n_s_pyx_unpickle_Enum, __pyx_k_pyx_unpickle_Enum, sizeof(__pyx_k_pyx_unpickle_Enum), 0, 0, 1, 1},
+  {&__pyx_n_s_pyx_vtable, __pyx_k_pyx_vtable, sizeof(__pyx_k_pyx_vtable), 0, 0, 1, 1},
+  {&__pyx_n_s_r, __pyx_k_r, sizeof(__pyx_k_r), 0, 0, 1, 1},
+  {&__pyx_n_s_range, __pyx_k_range, sizeof(__pyx_k_range), 0, 0, 1, 1},
+  {&__pyx_n_s_reduce, __pyx_k_reduce, sizeof(__pyx_k_reduce), 0, 0, 1, 1},
+  {&__pyx_n_s_reduce_cython, __pyx_k_reduce_cython, sizeof(__pyx_k_reduce_cython), 0, 0, 1, 1},
+  {&__pyx_n_s_reduce_ex, __pyx_k_reduce_ex, sizeof(__pyx_k_reduce_ex), 0, 0, 1, 1},
+  {&__pyx_n_s_reshape, __pyx_k_reshape, sizeof(__pyx_k_reshape), 0, 0, 1, 1},
+  {&__pyx_n_s_return_d2, __pyx_k_return_d2, sizeof(__pyx_k_return_d2), 0, 0, 1, 1},
+  {&__pyx_kp_u_s, __pyx_k_s, sizeof(__pyx_k_s), 0, 1, 0, 0},
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+  /* "View.MemoryView":317
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+ * cdef PyThread_type_lock[THREAD_LOCKS_PREALLOCATED] __pyx_memoryview_thread_locks = [             # <<<<<<<<<<<<<<
+ *     PyThread_allocate_lock(),
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+  __pyx_t_6[0] = PyThread_allocate_lock();
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+  __pyx_t_6[2] = PyThread_allocate_lock();
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+  __pyx_t_6[4] = PyThread_allocate_lock();
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+  /* "BufferFormatFromTypeInfo":1463
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+  /*--- Wrapped vars code ---*/
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+  goto __pyx_L0;
+  __pyx_L1_error:;
+  __Pyx_XDECREF(__pyx_t_1);
+  __Pyx_XDECREF(__pyx_t_2);
+  __Pyx_XDECREF(__pyx_t_3);
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+  return (__pyx_m != NULL) ? 0 : -1;
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+  return __pyx_m;
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+}
+
+/* --- Runtime support code --- */
+/* Refnanny */
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+static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
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+    p = PyObject_GetAttrString(m, "RefNannyAPI");
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+}
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+#if CYTHON_USE_TYPE_SLOTS
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+#if PY_MAJOR_VERSION < 3
+    if (likely(tp->tp_getattr))
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+    return PyObject_GetAttr(obj, attr_name);
+}
+#endif
+
+/* GetBuiltinName */
+static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
+    PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name);
+    if (unlikely(!result)) {
+        PyErr_Format(PyExc_NameError,
+#if PY_MAJOR_VERSION >= 3
+            "name '%U' is not defined", name);
+#else
+            "name '%.200s' is not defined", PyString_AS_STRING(name));
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+}
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+    return r;
+}
+
+/* RaiseArgTupleInvalid */
+static void __Pyx_RaiseArgtupleInvalid(
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+    int exact,
+    Py_ssize_t num_min,
+    Py_ssize_t num_max,
+    Py_ssize_t num_found)
+{
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+    if (num_found < num_min) {
+        num_expected = num_min;
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+    } else {
+        num_expected = num_max;
+        more_or_less = "at most";
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+        more_or_less = "exactly";
+    }
+    PyErr_Format(PyExc_TypeError,
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+                 func_name, more_or_less, num_expected,
+                 (num_expected == 1) ? "" : "s", num_found);
+}
+
+/* RaiseDoubleKeywords */
+static void __Pyx_RaiseDoubleKeywordsError(
+    const char* func_name,
+    PyObject* kw_name)
+{
+    PyErr_Format(PyExc_TypeError,
+        #if PY_MAJOR_VERSION >= 3
+        "%s() got multiple values for keyword argument '%U'", func_name, kw_name);
+        #else
+        "%s() got multiple values for keyword argument '%s'", func_name,
+        PyString_AsString(kw_name));
+        #endif
+}
+
+/* ParseKeywords */
+static int __Pyx_ParseOptionalKeywords(
+    PyObject *kwds,
+    PyObject **argnames[],
+    PyObject *kwds2,
+    PyObject *values[],
+    Py_ssize_t num_pos_args,
+    const char* function_name)
+{
+    PyObject *key = 0, *value = 0;
+    Py_ssize_t pos = 0;
+    PyObject*** name;
+    PyObject*** first_kw_arg = argnames + num_pos_args;
+    while (PyDict_Next(kwds, &pos, &key, &value)) {
+        name = first_kw_arg;
+        while (*name && (**name != key)) name++;
+        if (*name) {
+            values[name-argnames] = value;
+            continue;
+        }
+        name = first_kw_arg;
+        #if PY_MAJOR_VERSION < 3
+        if (likely(PyString_Check(key))) {
+            while (*name) {
+                if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))
+                        && _PyString_Eq(**name, key)) {
+                    values[name-argnames] = value;
+                    break;
+                }
+                name++;
+            }
+            if (*name) continue;
+            else {
+                PyObject*** argname = argnames;
+                while (argname != first_kw_arg) {
+                    if ((**argname == key) || (
+                            (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))
+                             && _PyString_Eq(**argname, key))) {
+                        goto arg_passed_twice;
+                    }
+                    argname++;
+                }
+            }
+        } else
+        #endif
+        if (likely(PyUnicode_Check(key))) {
+            while (*name) {
+                int cmp = (**name == key) ? 0 :
+                #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
+                    (__Pyx_PyUnicode_GET_LENGTH(**name) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 :
+                #endif
+                    PyUnicode_Compare(**name, key);
+                if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
+                if (cmp == 0) {
+                    values[name-argnames] = value;
+                    break;
+                }
+                name++;
+            }
+            if (*name) continue;
+            else {
+                PyObject*** argname = argnames;
+                while (argname != first_kw_arg) {
+                    int cmp = (**argname == key) ? 0 :
+                    #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
+                        (__Pyx_PyUnicode_GET_LENGTH(**argname) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 :
+                    #endif
+                        PyUnicode_Compare(**argname, key);
+                    if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
+                    if (cmp == 0) goto arg_passed_twice;
+                    argname++;
+                }
+            }
+        } else
+            goto invalid_keyword_type;
+        if (kwds2) {
+            if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
+        } else {
+            goto invalid_keyword;
+        }
+    }
+    return 0;
+arg_passed_twice:
+    __Pyx_RaiseDoubleKeywordsError(function_name, key);
+    goto bad;
+invalid_keyword_type:
+    PyErr_Format(PyExc_TypeError,
+        "%.200s() keywords must be strings", function_name);
+    goto bad;
+invalid_keyword:
+    PyErr_Format(PyExc_TypeError,
+    #if PY_MAJOR_VERSION < 3
+        "%.200s() got an unexpected keyword argument '%.200s'",
+        function_name, PyString_AsString(key));
+    #else
+        "%s() got an unexpected keyword argument '%U'",
+        function_name, key);
+    #endif
+bad:
+    return -1;
+}
+
+/* PyDictVersioning */
+#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
+static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {
+    PyObject *dict = Py_TYPE(obj)->tp_dict;
+    return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;
+}
+static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {
+    PyObject **dictptr = NULL;
+    Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;
+    if (offset) {
+#if CYTHON_COMPILING_IN_CPYTHON
+        dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);
+#else
+        dictptr = _PyObject_GetDictPtr(obj);
+#endif
+    }
+    return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;
+}
+static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {
+    PyObject *dict = Py_TYPE(obj)->tp_dict;
+    if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))
+        return 0;
+    return obj_dict_version == __Pyx_get_object_dict_version(obj);
+}
+#endif
+
+/* GetModuleGlobalName */
+#if CYTHON_USE_DICT_VERSIONS
+static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)
+#else
+static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)
+#endif
+{
+    PyObject *result;
+#if !CYTHON_AVOID_BORROWED_REFS
+#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
+    result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
+    __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
+    if (likely(result)) {
+        return __Pyx_NewRef(result);
+    } else if (unlikely(PyErr_Occurred())) {
+        return NULL;
+    }
+#else
+    result = PyDict_GetItem(__pyx_d, name);
+    __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
+    if (likely(result)) {
+        return __Pyx_NewRef(result);
+    }
+#endif
+#else
+    result = PyObject_GetItem(__pyx_d, name);
+    __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
+    if (likely(result)) {
+        return __Pyx_NewRef(result);
+    }
+    PyErr_Clear();
+#endif
+    return __Pyx_GetBuiltinName(name);
+}
+
+/* PyFunctionFastCall */
+#if CYTHON_FAST_PYCALL
+static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
+                                               PyObject *globals) {
+    PyFrameObject *f;
+    PyThreadState *tstate = __Pyx_PyThreadState_Current;
+    PyObject **fastlocals;
+    Py_ssize_t i;
+    PyObject *result;
+    assert(globals != NULL);
+    /* XXX Perhaps we should create a specialized
+       PyFrame_New() that doesn't take locals, but does
+       take builtins without sanity checking them.
+       */
+    assert(tstate != NULL);
+    f = PyFrame_New(tstate, co, globals, NULL);
+    if (f == NULL) {
+        return NULL;
+    }
+    fastlocals = __Pyx_PyFrame_GetLocalsplus(f);
+    for (i = 0; i < na; i++) {
+        Py_INCREF(*args);
+        fastlocals[i] = *args++;
+    }
+    result = PyEval_EvalFrameEx(f,0);
+    ++tstate->recursion_depth;
+    Py_DECREF(f);
+    --tstate->recursion_depth;
+    return result;
+}
+#if 1 || PY_VERSION_HEX < 0x030600B1
+static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) {
+    PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
+    PyObject *globals = PyFunction_GET_GLOBALS(func);
+    PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
+    PyObject *closure;
+#if PY_MAJOR_VERSION >= 3
+    PyObject *kwdefs;
+#endif
+    PyObject *kwtuple, **k;
+    PyObject **d;
+    Py_ssize_t nd;
+    Py_ssize_t nk;
+    PyObject *result;
+    assert(kwargs == NULL || PyDict_Check(kwargs));
+    nk = kwargs ? PyDict_Size(kwargs) : 0;
+    if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
+        return NULL;
+    }
+    if (
+#if PY_MAJOR_VERSION >= 3
+            co->co_kwonlyargcount == 0 &&
+#endif
+            likely(kwargs == NULL || nk == 0) &&
+            co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
+        if (argdefs == NULL && co->co_argcount == nargs) {
+            result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
+            goto done;
+        }
+        else if (nargs == 0 && argdefs != NULL
+                 && co->co_argcount == Py_SIZE(argdefs)) {
+            /* function called with no arguments, but all parameters have
+               a default value: use default values as arguments .*/
+            args = &PyTuple_GET_ITEM(argdefs, 0);
+            result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
+            goto done;
+        }
+    }
+    if (kwargs != NULL) {
+        Py_ssize_t pos, i;
+        kwtuple = PyTuple_New(2 * nk);
+        if (kwtuple == NULL) {
+            result = NULL;
+            goto done;
+        }
+        k = &PyTuple_GET_ITEM(kwtuple, 0);
+        pos = i = 0;
+        while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
+            Py_INCREF(k[i]);
+            Py_INCREF(k[i+1]);
+            i += 2;
+        }
+        nk = i / 2;
+    }
+    else {
+        kwtuple = NULL;
+        k = NULL;
+    }
+    closure = PyFunction_GET_CLOSURE(func);
+#if PY_MAJOR_VERSION >= 3
+    kwdefs = PyFunction_GET_KW_DEFAULTS(func);
+#endif
+    if (argdefs != NULL) {
+        d = &PyTuple_GET_ITEM(argdefs, 0);
+        nd = Py_SIZE(argdefs);
+    }
+    else {
+        d = NULL;
+        nd = 0;
+    }
+#if PY_MAJOR_VERSION >= 3
+    result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
+                               args, (int)nargs,
+                               k, (int)nk,
+                               d, (int)nd, kwdefs, closure);
+#else
+    result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
+                               args, (int)nargs,
+                               k, (int)nk,
+                               d, (int)nd, closure);
+#endif
+    Py_XDECREF(kwtuple);
+done:
+    Py_LeaveRecursiveCall();
+    return result;
+}
+#endif
+#endif
+
+/* PyCFunctionFastCall */
+#if CYTHON_FAST_PYCCALL
+static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
+    PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
+    PyCFunction meth = PyCFunction_GET_FUNCTION(func);
+    PyObject *self = PyCFunction_GET_SELF(func);
+    int flags = PyCFunction_GET_FLAGS(func);
+    assert(PyCFunction_Check(func));
+    assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));
+    assert(nargs >= 0);
+    assert(nargs == 0 || args != NULL);
+    /* _PyCFunction_FastCallDict() must not be called with an exception set,
+       because it may clear it (directly or indirectly) and so the
+       caller loses its exception */
+    assert(!PyErr_Occurred());
+    if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
+        return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);
+    } else {
+        return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);
+    }
+}
+#endif
+
+/* PyObjectCall */
+#if CYTHON_COMPILING_IN_CPYTHON
+static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
+    PyObject *result;
+    ternaryfunc call = func->ob_type->tp_call;
+    if (unlikely(!call))
+        return PyObject_Call(func, arg, kw);
+    if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
+        return NULL;
+    result = (*call)(func, arg, kw);
+    Py_LeaveRecursiveCall();
+    if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
+        PyErr_SetString(
+            PyExc_SystemError,
+            "NULL result without error in PyObject_Call");
+    }
+    return result;
+}
+#endif
+
+/* RaiseTooManyValuesToUnpack */
+static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
+    PyErr_Format(PyExc_ValueError,
+                 "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
+}
+
+/* RaiseNeedMoreValuesToUnpack */
+static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
+    PyErr_Format(PyExc_ValueError,
+                 "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
+                 index, (index == 1) ? "" : "s");
+}
+
+/* IterFinish */
+static CYTHON_INLINE int __Pyx_IterFinish(void) {
+#if CYTHON_FAST_THREAD_STATE
+    PyThreadState *tstate = __Pyx_PyThreadState_Current;
+    PyObject* exc_type = tstate->curexc_type;
+    if (unlikely(exc_type)) {
+        if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) {
+            PyObject *exc_value, *exc_tb;
+            exc_value = tstate->curexc_value;
+            exc_tb = tstate->curexc_traceback;
+            tstate->curexc_type = 0;
+            tstate->curexc_value = 0;
+            tstate->curexc_traceback = 0;
+            Py_DECREF(exc_type);
+            Py_XDECREF(exc_value);
+            Py_XDECREF(exc_tb);
+            return 0;
+        } else {
+            return -1;
+        }
+    }
+    return 0;
+#else
+    if (unlikely(PyErr_Occurred())) {
+        if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {
+            PyErr_Clear();
+            return 0;
+        } else {
+            return -1;
+        }
+    }
+    return 0;
+#endif
+}
+
+/* UnpackItemEndCheck */
+static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {
+    if (unlikely(retval)) {
+        Py_DECREF(retval);
+        __Pyx_RaiseTooManyValuesError(expected);
+        return -1;
+    } else {
+        return __Pyx_IterFinish();
+    }
+    return 0;
+}
+
+/* PyObjectCall2Args */
+static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {
+    PyObject *args, *result = NULL;
+    #if CYTHON_FAST_PYCALL
+    if (PyFunction_Check(function)) {
+        PyObject *args[2] = {arg1, arg2};
+        return __Pyx_PyFunction_FastCall(function, args, 2);
+    }
+    #endif
+    #if CYTHON_FAST_PYCCALL
+    if (__Pyx_PyFastCFunction_Check(function)) {
+        PyObject *args[2] = {arg1, arg2};
+        return __Pyx_PyCFunction_FastCall(function, args, 2);
+    }
+    #endif
+    args = PyTuple_New(2);
+    if (unlikely(!args)) goto done;
+    Py_INCREF(arg1);
+    PyTuple_SET_ITEM(args, 0, arg1);
+    Py_INCREF(arg2);
+    PyTuple_SET_ITEM(args, 1, arg2);
+    Py_INCREF(function);
+    result = __Pyx_PyObject_Call(function, args, NULL);
+    Py_DECREF(args);
+    Py_DECREF(function);
+done:
+    return result;
+}
+
+/* PyObjectCallMethO */
+#if CYTHON_COMPILING_IN_CPYTHON
+static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
+    PyObject *self, *result;
+    PyCFunction cfunc;
+    cfunc = PyCFunction_GET_FUNCTION(func);
+    self = PyCFunction_GET_SELF(func);
+    if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
+        return NULL;
+    result = cfunc(self, arg);
+    Py_LeaveRecursiveCall();
+    if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
+        PyErr_SetString(
+            PyExc_SystemError,
+            "NULL result without error in PyObject_Call");
+    }
+    return result;
+}
+#endif
+
+/* PyObjectCallOneArg */
+#if CYTHON_COMPILING_IN_CPYTHON
+static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
+    PyObject *result;
+    PyObject *args = PyTuple_New(1);
+    if (unlikely(!args)) return NULL;
+    Py_INCREF(arg);
+    PyTuple_SET_ITEM(args, 0, arg);
+    result = __Pyx_PyObject_Call(func, args, NULL);
+    Py_DECREF(args);
+    return result;
+}
+static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
+#if CYTHON_FAST_PYCALL
+    if (PyFunction_Check(func)) {
+        return __Pyx_PyFunction_FastCall(func, &arg, 1);
+    }
+#endif
+    if (likely(PyCFunction_Check(func))) {
+        if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
+            return __Pyx_PyObject_CallMethO(func, arg);
+#if CYTHON_FAST_PYCCALL
+        } else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {
+            return __Pyx_PyCFunction_FastCall(func, &arg, 1);
+#endif
+        }
+    }
+    return __Pyx__PyObject_CallOneArg(func, arg);
+}
+#else
+static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
+    PyObject *result;
+    PyObject *args = PyTuple_Pack(1, arg);
+    if (unlikely(!args)) return NULL;
+    result = __Pyx_PyObject_Call(func, args, NULL);
+    Py_DECREF(args);
+    return result;
+}
+#endif
+
+/* MemviewSliceInit */
+static int
+__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview,
+                        int ndim,
+                        __Pyx_memviewslice *memviewslice,
+                        int memview_is_new_reference)
+{
+    __Pyx_RefNannyDeclarations
+    int i, retval=-1;
+    Py_buffer *buf = &memview->view;
+    __Pyx_RefNannySetupContext("init_memviewslice", 0);
+    if (unlikely(memviewslice->memview || memviewslice->data)) {
+        PyErr_SetString(PyExc_ValueError,
+            "memviewslice is already initialized!");
+        goto fail;
+    }
+    if (buf->strides) {
+        for (i = 0; i < ndim; i++) {
+            memviewslice->strides[i] = buf->strides[i];
+        }
+    } else {
+        Py_ssize_t stride = buf->itemsize;
+        for (i = ndim - 1; i >= 0; i--) {
+            memviewslice->strides[i] = stride;
+            stride *= buf->shape[i];
+        }
+    }
+    for (i = 0; i < ndim; i++) {
+        memviewslice->shape[i]   = buf->shape[i];
+        if (buf->suboffsets) {
+            memviewslice->suboffsets[i] = buf->suboffsets[i];
+        } else {
+            memviewslice->suboffsets[i] = -1;
+        }
+    }
+    memviewslice->memview = memview;
+    memviewslice->data = (char *)buf->buf;
+    if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) {
+        Py_INCREF(memview);
+    }
+    retval = 0;
+    goto no_fail;
+fail:
+    memviewslice->memview = 0;
+    memviewslice->data = 0;
+    retval = -1;
+no_fail:
+    __Pyx_RefNannyFinishContext();
+    return retval;
+}
+#ifndef Py_NO_RETURN
+#define Py_NO_RETURN
+#endif
+static void __pyx_fatalerror(const char *fmt, ...) Py_NO_RETURN {
+    va_list vargs;
+    char msg[200];
+#ifdef HAVE_STDARG_PROTOTYPES
+    va_start(vargs, fmt);
+#else
+    va_start(vargs);
+#endif
+    vsnprintf(msg, 200, fmt, vargs);
+    va_end(vargs);
+    Py_FatalError(msg);
+}
+static CYTHON_INLINE int
+__pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count,
+                                   PyThread_type_lock lock)
+{
+    int result;
+    PyThread_acquire_lock(lock, 1);
+    result = (*acquisition_count)++;
+    PyThread_release_lock(lock);
+    return result;
+}
+static CYTHON_INLINE int
+__pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count,
+                                   PyThread_type_lock lock)
+{
+    int result;
+    PyThread_acquire_lock(lock, 1);
+    result = (*acquisition_count)--;
+    PyThread_release_lock(lock);
+    return result;
+}
+static CYTHON_INLINE void
+__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno)
+{
+    int first_time;
+    struct __pyx_memoryview_obj *memview = memslice->memview;
+    if (unlikely(!memview || (PyObject *) memview == Py_None))
+        return;
+    if (unlikely(__pyx_get_slice_count(memview) < 0))
+        __pyx_fatalerror("Acquisition count is %d (line %d)",
+                         __pyx_get_slice_count(memview), lineno);
+    first_time = __pyx_add_acquisition_count(memview) == 0;
+    if (unlikely(first_time)) {
+        if (have_gil) {
+            Py_INCREF((PyObject *) memview);
+        } else {
+            PyGILState_STATE _gilstate = PyGILState_Ensure();
+            Py_INCREF((PyObject *) memview);
+            PyGILState_Release(_gilstate);
+        }
+    }
+}
+static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice,
+                                             int have_gil, int lineno) {
+    int last_time;
+    struct __pyx_memoryview_obj *memview = memslice->memview;
+    if (unlikely(!memview || (PyObject *) memview == Py_None)) {
+        memslice->memview = NULL;
+        return;
+    }
+    if (unlikely(__pyx_get_slice_count(memview) <= 0))
+        __pyx_fatalerror("Acquisition count is %d (line %d)",
+                         __pyx_get_slice_count(memview), lineno);
+    last_time = __pyx_sub_acquisition_count(memview) == 1;
+    memslice->data = NULL;
+    if (unlikely(last_time)) {
+        if (have_gil) {
+            Py_CLEAR(memslice->memview);
+        } else {
+            PyGILState_STATE _gilstate = PyGILState_Ensure();
+            Py_CLEAR(memslice->memview);
+            PyGILState_Release(_gilstate);
+        }
+    } else {
+        memslice->memview = NULL;
+    }
+}
+
+/* PyIntBinop */
+#if !CYTHON_COMPILING_IN_PYPY
+static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {
+    (void)inplace;
+    (void)zerodivision_check;
+    #if PY_MAJOR_VERSION < 3
+    if (likely(PyInt_CheckExact(op1))) {
+        const long b = intval;
+        long x;
+        long a = PyInt_AS_LONG(op1);
+            x = (long)((unsigned long)a - b);
+            if (likely((x^a) >= 0 || (x^~b) >= 0))
+                return PyInt_FromLong(x);
+            return PyLong_Type.tp_as_number->nb_subtract(op1, op2);
+    }
+    #endif
+    #if CYTHON_USE_PYLONG_INTERNALS
+    if (likely(PyLong_CheckExact(op1))) {
+        const long b = intval;
+        long a, x;
+#ifdef HAVE_LONG_LONG
+        const PY_LONG_LONG llb = intval;
+        PY_LONG_LONG lla, llx;
+#endif
+        const digit* digits = ((PyLongObject*)op1)->ob_digit;
+        const Py_ssize_t size = Py_SIZE(op1);
+        if (likely(__Pyx_sst_abs(size) <= 1)) {
+            a = likely(size) ? digits[0] : 0;
+            if (size == -1) a = -a;
+        } else {
+            switch (size) {
+                case -2:
+                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
+                        a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
+                        break;
+#ifdef HAVE_LONG_LONG
+                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
+                        lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
+                        goto long_long;
+#endif
+                    }
+                    CYTHON_FALLTHROUGH;
+                case 2:
+                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
+                        a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
+                        break;
+#ifdef HAVE_LONG_LONG
+                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
+                        lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
+                        goto long_long;
+#endif
+                    }
+                    CYTHON_FALLTHROUGH;
+                case -3:
+                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
+                        a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
+                        break;
+#ifdef HAVE_LONG_LONG
+                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
+                        lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
+                        goto long_long;
+#endif
+                    }
+                    CYTHON_FALLTHROUGH;
+                case 3:
+                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
+                        a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
+                        break;
+#ifdef HAVE_LONG_LONG
+                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
+                        lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
+                        goto long_long;
+#endif
+                    }
+                    CYTHON_FALLTHROUGH;
+                case -4:
+                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
+                        a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
+                        break;
+#ifdef HAVE_LONG_LONG
+                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
+                        lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
+                        goto long_long;
+#endif
+                    }
+                    CYTHON_FALLTHROUGH;
+                case 4:
+                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
+                        a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
+                        break;
+#ifdef HAVE_LONG_LONG
+                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
+                        lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
+                        goto long_long;
+#endif
+                    }
+                    CYTHON_FALLTHROUGH;
+                default: return PyLong_Type.tp_as_number->nb_subtract(op1, op2);
+            }
+        }
+                x = a - b;
+            return PyLong_FromLong(x);
+#ifdef HAVE_LONG_LONG
+        long_long:
+                llx = lla - llb;
+            return PyLong_FromLongLong(llx);
+#endif
+        
+        
+    }
+    #endif
+    if (PyFloat_CheckExact(op1)) {
+        const long b = intval;
+        double a = PyFloat_AS_DOUBLE(op1);
+            double result;
+            PyFPE_START_PROTECT("subtract", return NULL)
+            result = ((double)a) - (double)b;
+            PyFPE_END_PROTECT(result)
+            return PyFloat_FromDouble(result);
+    }
+    return (inplace ? PyNumber_InPlaceSubtract : PyNumber_Subtract)(op1, op2);
+}
+#endif
+
+/* PyErrFetchRestore */
+#if CYTHON_FAST_THREAD_STATE
+static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
+    PyObject *tmp_type, *tmp_value, *tmp_tb;
+    tmp_type = tstate->curexc_type;
+    tmp_value = tstate->curexc_value;
+    tmp_tb = tstate->curexc_traceback;
+    tstate->curexc_type = type;
+    tstate->curexc_value = value;
+    tstate->curexc_traceback = tb;
+    Py_XDECREF(tmp_type);
+    Py_XDECREF(tmp_value);
+    Py_XDECREF(tmp_tb);
+}
+static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
+    *type = tstate->curexc_type;
+    *value = tstate->curexc_value;
+    *tb = tstate->curexc_traceback;
+    tstate->curexc_type = 0;
+    tstate->curexc_value = 0;
+    tstate->curexc_traceback = 0;
+}
+#endif
+
+/* RaiseException */
+#if PY_MAJOR_VERSION < 3
+static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
+                        CYTHON_UNUSED PyObject *cause) {
+    __Pyx_PyThreadState_declare
+    Py_XINCREF(type);
+    if (!value || value == Py_None)
+        value = NULL;
+    else
+        Py_INCREF(value);
+    if (!tb || tb == Py_None)
+        tb = NULL;
+    else {
+        Py_INCREF(tb);
+        if (!PyTraceBack_Check(tb)) {
+            PyErr_SetString(PyExc_TypeError,
+                "raise: arg 3 must be a traceback or None");
+            goto raise_error;
+        }
+    }
+    if (PyType_Check(type)) {
+#if CYTHON_COMPILING_IN_PYPY
+        if (!value) {
+            Py_INCREF(Py_None);
+            value = Py_None;
+        }
+#endif
+        PyErr_NormalizeException(&type, &value, &tb);
+    } else {
+        if (value) {
+            PyErr_SetString(PyExc_TypeError,
+                "instance exception may not have a separate value");
+            goto raise_error;
+        }
+        value = type;
+        type = (PyObject*) Py_TYPE(type);
+        Py_INCREF(type);
+        if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
+            PyErr_SetString(PyExc_TypeError,
+                "raise: exception class must be a subclass of BaseException");
+            goto raise_error;
+        }
+    }
+    __Pyx_PyThreadState_assign
+    __Pyx_ErrRestore(type, value, tb);
+    return;
+raise_error:
+    Py_XDECREF(value);
+    Py_XDECREF(type);
+    Py_XDECREF(tb);
+    return;
+}
+#else
+static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
+    PyObject* owned_instance = NULL;
+    if (tb == Py_None) {
+        tb = 0;
+    } else if (tb && !PyTraceBack_Check(tb)) {
+        PyErr_SetString(PyExc_TypeError,
+            "raise: arg 3 must be a traceback or None");
+        goto bad;
+    }
+    if (value == Py_None)
+        value = 0;
+    if (PyExceptionInstance_Check(type)) {
+        if (value) {
+            PyErr_SetString(PyExc_TypeError,
+                "instance exception may not have a separate value");
+            goto bad;
+        }
+        value = type;
+        type = (PyObject*) Py_TYPE(value);
+    } else if (PyExceptionClass_Check(type)) {
+        PyObject *instance_class = NULL;
+        if (value && PyExceptionInstance_Check(value)) {
+            instance_class = (PyObject*) Py_TYPE(value);
+            if (instance_class != type) {
+                int is_subclass = PyObject_IsSubclass(instance_class, type);
+                if (!is_subclass) {
+                    instance_class = NULL;
+                } else if (unlikely(is_subclass == -1)) {
+                    goto bad;
+                } else {
+                    type = instance_class;
+                }
+            }
+        }
+        if (!instance_class) {
+            PyObject *args;
+            if (!value)
+                args = PyTuple_New(0);
+            else if (PyTuple_Check(value)) {
+                Py_INCREF(value);
+                args = value;
+            } else
+                args = PyTuple_Pack(1, value);
+            if (!args)
+                goto bad;
+            owned_instance = PyObject_Call(type, args, NULL);
+            Py_DECREF(args);
+            if (!owned_instance)
+                goto bad;
+            value = owned_instance;
+            if (!PyExceptionInstance_Check(value)) {
+                PyErr_Format(PyExc_TypeError,
+                             "calling %R should have returned an instance of "
+                             "BaseException, not %R",
+                             type, Py_TYPE(value));
+                goto bad;
+            }
+        }
+    } else {
+        PyErr_SetString(PyExc_TypeError,
+            "raise: exception class must be a subclass of BaseException");
+        goto bad;
+    }
+    if (cause) {
+        PyObject *fixed_cause;
+        if (cause == Py_None) {
+            fixed_cause = NULL;
+        } else if (PyExceptionClass_Check(cause)) {
+            fixed_cause = PyObject_CallObject(cause, NULL);
+            if (fixed_cause == NULL)
+                goto bad;
+        } else if (PyExceptionInstance_Check(cause)) {
+            fixed_cause = cause;
+            Py_INCREF(fixed_cause);
+        } else {
+            PyErr_SetString(PyExc_TypeError,
+                            "exception causes must derive from "
+                            "BaseException");
+            goto bad;
+        }
+        PyException_SetCause(value, fixed_cause);
+    }
+    PyErr_SetObject(type, value);
+    if (tb) {
+#if CYTHON_COMPILING_IN_PYPY
+        PyObject *tmp_type, *tmp_value, *tmp_tb;
+        PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
+        Py_INCREF(tb);
+        PyErr_Restore(tmp_type, tmp_value, tb);
+        Py_XDECREF(tmp_tb);
+#else
+        PyThreadState *tstate = __Pyx_PyThreadState_Current;
+        PyObject* tmp_tb = tstate->curexc_traceback;
+        if (tb != tmp_tb) {
+            Py_INCREF(tb);
+            tstate->curexc_traceback = tb;
+            Py_XDECREF(tmp_tb);
+        }
+#endif
+    }
+bad:
+    Py_XDECREF(owned_instance);
+    return;
+}
+#endif
+
+/* DictGetItem */
+#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
+static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) {
+    PyObject *value;
+    value = PyDict_GetItemWithError(d, key);
+    if (unlikely(!value)) {
+        if (!PyErr_Occurred()) {
+            if (unlikely(PyTuple_Check(key))) {
+                PyObject* args = PyTuple_Pack(1, key);
+                if (likely(args)) {
+                    PyErr_SetObject(PyExc_KeyError, args);
+                    Py_DECREF(args);
+                }
+            } else {
+                PyErr_SetObject(PyExc_KeyError, key);
+            }
+        }
+        return NULL;
+    }
+    Py_INCREF(value);
+    return value;
+}
+#endif
+
+/* RaiseNoneIterError */
+static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
+    PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
+}
+
+/* ExtTypeTest */
+static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
+    if (unlikely(!type)) {
+        PyErr_SetString(PyExc_SystemError, "Missing type object");
+        return 0;
+    }
+    if (likely(__Pyx_TypeCheck(obj, type)))
+        return 1;
+    PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
+                 Py_TYPE(obj)->tp_name, type->tp_name);
+    return 0;
+}
+
+/* GetTopmostException */
+#if CYTHON_USE_EXC_INFO_STACK
+static _PyErr_StackItem *
+__Pyx_PyErr_GetTopmostException(PyThreadState *tstate)
+{
+    _PyErr_StackItem *exc_info = tstate->exc_info;
+    while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) &&
+           exc_info->previous_item != NULL)
+    {
+        exc_info = exc_info->previous_item;
+    }
+    return exc_info;
+}
+#endif
+
+/* SaveResetException */
+#if CYTHON_FAST_THREAD_STATE
+static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
+    #if CYTHON_USE_EXC_INFO_STACK
+    _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate);
+    *type = exc_info->exc_type;
+    *value = exc_info->exc_value;
+    *tb = exc_info->exc_traceback;
+    #else
+    *type = tstate->exc_type;
+    *value = tstate->exc_value;
+    *tb = tstate->exc_traceback;
+    #endif
+    Py_XINCREF(*type);
+    Py_XINCREF(*value);
+    Py_XINCREF(*tb);
+}
+static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
+    PyObject *tmp_type, *tmp_value, *tmp_tb;
+    #if CYTHON_USE_EXC_INFO_STACK
+    _PyErr_StackItem *exc_info = tstate->exc_info;
+    tmp_type = exc_info->exc_type;
+    tmp_value = exc_info->exc_value;
+    tmp_tb = exc_info->exc_traceback;
+    exc_info->exc_type = type;
+    exc_info->exc_value = value;
+    exc_info->exc_traceback = tb;
+    #else
+    tmp_type = tstate->exc_type;
+    tmp_value = tstate->exc_value;
+    tmp_tb = tstate->exc_traceback;
+    tstate->exc_type = type;
+    tstate->exc_value = value;
+    tstate->exc_traceback = tb;
+    #endif
+    Py_XDECREF(tmp_type);
+    Py_XDECREF(tmp_value);
+    Py_XDECREF(tmp_tb);
+}
+#endif
+
+/* PyErrExceptionMatches */
+#if CYTHON_FAST_THREAD_STATE
+static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
+    Py_ssize_t i, n;
+    n = PyTuple_GET_SIZE(tuple);
+#if PY_MAJOR_VERSION >= 3
+    for (i=0; i<n; i++) {
+        if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
+    }
+#endif
+    for (i=0; i<n; i++) {
+        if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
+    }
+    return 0;
+}
+static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
+    PyObject *exc_type = tstate->curexc_type;
+    if (exc_type == err) return 1;
+    if (unlikely(!exc_type)) return 0;
+    if (unlikely(PyTuple_Check(err)))
+        return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
+    return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
+}
+#endif
+
+/* GetException */
+#if CYTHON_FAST_THREAD_STATE
+static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb)
+#else
+static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb)
+#endif
+{
+    PyObject *local_type, *local_value, *local_tb;
+#if CYTHON_FAST_THREAD_STATE
+    PyObject *tmp_type, *tmp_value, *tmp_tb;
+    local_type = tstate->curexc_type;
+    local_value = tstate->curexc_value;
+    local_tb = tstate->curexc_traceback;
+    tstate->curexc_type = 0;
+    tstate->curexc_value = 0;
+    tstate->curexc_traceback = 0;
+#else
+    PyErr_Fetch(&local_type, &local_value, &local_tb);
+#endif
+    PyErr_NormalizeException(&local_type, &local_value, &local_tb);
+#if CYTHON_FAST_THREAD_STATE
+    if (unlikely(tstate->curexc_type))
+#else
+    if (unlikely(PyErr_Occurred()))
+#endif
+        goto bad;
+    #if PY_MAJOR_VERSION >= 3
+    if (local_tb) {
+        if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
+            goto bad;
+    }
+    #endif
+    Py_XINCREF(local_tb);
+    Py_XINCREF(local_type);
+    Py_XINCREF(local_value);
+    *type = local_type;
+    *value = local_value;
+    *tb = local_tb;
+#if CYTHON_FAST_THREAD_STATE
+    #if CYTHON_USE_EXC_INFO_STACK
+    {
+        _PyErr_StackItem *exc_info = tstate->exc_info;
+        tmp_type = exc_info->exc_type;
+        tmp_value = exc_info->exc_value;
+        tmp_tb = exc_info->exc_traceback;
+        exc_info->exc_type = local_type;
+        exc_info->exc_value = local_value;
+        exc_info->exc_traceback = local_tb;
+    }
+    #else
+    tmp_type = tstate->exc_type;
+    tmp_value = tstate->exc_value;
+    tmp_tb = tstate->exc_traceback;
+    tstate->exc_type = local_type;
+    tstate->exc_value = local_value;
+    tstate->exc_traceback = local_tb;
+    #endif
+    Py_XDECREF(tmp_type);
+    Py_XDECREF(tmp_value);
+    Py_XDECREF(tmp_tb);
+#else
+    PyErr_SetExcInfo(local_type, local_value, local_tb);
+#endif
+    return 0;
+bad:
+    *type = 0;
+    *value = 0;
+    *tb = 0;
+    Py_XDECREF(local_type);
+    Py_XDECREF(local_value);
+    Py_XDECREF(local_tb);
+    return -1;
+}
+
+/* ArgTypeTest */
+static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact)
+{
+    if (unlikely(!type)) {
+        PyErr_SetString(PyExc_SystemError, "Missing type object");
+        return 0;
+    }
+    else if (exact) {
+        #if PY_MAJOR_VERSION == 2
+        if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1;
+        #endif
+    }
+    else {
+        if (likely(__Pyx_TypeCheck(obj, type))) return 1;
+    }
+    PyErr_Format(PyExc_TypeError,
+        "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)",
+        name, type->tp_name, Py_TYPE(obj)->tp_name);
+    return 0;
+}
+
+/* BytesEquals */
+static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
+#if CYTHON_COMPILING_IN_PYPY
+    return PyObject_RichCompareBool(s1, s2, equals);
+#else
+    if (s1 == s2) {
+        return (equals == Py_EQ);
+    } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
+        const char *ps1, *ps2;
+        Py_ssize_t length = PyBytes_GET_SIZE(s1);
+        if (length != PyBytes_GET_SIZE(s2))
+            return (equals == Py_NE);
+        ps1 = PyBytes_AS_STRING(s1);
+        ps2 = PyBytes_AS_STRING(s2);
+        if (ps1[0] != ps2[0]) {
+            return (equals == Py_NE);
+        } else if (length == 1) {
+            return (equals == Py_EQ);
+        } else {
+            int result;
+#if CYTHON_USE_UNICODE_INTERNALS
+            Py_hash_t hash1, hash2;
+            hash1 = ((PyBytesObject*)s1)->ob_shash;
+            hash2 = ((PyBytesObject*)s2)->ob_shash;
+            if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
+                return (equals == Py_NE);
+            }
+#endif
+            result = memcmp(ps1, ps2, (size_t)length);
+            return (equals == Py_EQ) ? (result == 0) : (result != 0);
+        }
+    } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
+        return (equals == Py_NE);
+    } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
+        return (equals == Py_NE);
+    } else {
+        int result;
+        PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
+        if (!py_result)
+            return -1;
+        result = __Pyx_PyObject_IsTrue(py_result);
+        Py_DECREF(py_result);
+        return result;
+    }
+#endif
+}
+
+/* UnicodeEquals */
+static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
+#if CYTHON_COMPILING_IN_PYPY
+    return PyObject_RichCompareBool(s1, s2, equals);
+#else
+#if PY_MAJOR_VERSION < 3
+    PyObject* owned_ref = NULL;
+#endif
+    int s1_is_unicode, s2_is_unicode;
+    if (s1 == s2) {
+        goto return_eq;
+    }
+    s1_is_unicode = PyUnicode_CheckExact(s1);
+    s2_is_unicode = PyUnicode_CheckExact(s2);
+#if PY_MAJOR_VERSION < 3
+    if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
+        owned_ref = PyUnicode_FromObject(s2);
+        if (unlikely(!owned_ref))
+            return -1;
+        s2 = owned_ref;
+        s2_is_unicode = 1;
+    } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
+        owned_ref = PyUnicode_FromObject(s1);
+        if (unlikely(!owned_ref))
+            return -1;
+        s1 = owned_ref;
+        s1_is_unicode = 1;
+    } else if (((!s2_is_unicode) & (!s1_is_unicode))) {
+        return __Pyx_PyBytes_Equals(s1, s2, equals);
+    }
+#endif
+    if (s1_is_unicode & s2_is_unicode) {
+        Py_ssize_t length;
+        int kind;
+        void *data1, *data2;
+        if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
+            return -1;
+        length = __Pyx_PyUnicode_GET_LENGTH(s1);
+        if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
+            goto return_ne;
+        }
+#if CYTHON_USE_UNICODE_INTERNALS
+        {
+            Py_hash_t hash1, hash2;
+        #if CYTHON_PEP393_ENABLED
+            hash1 = ((PyASCIIObject*)s1)->hash;
+            hash2 = ((PyASCIIObject*)s2)->hash;
+        #else
+            hash1 = ((PyUnicodeObject*)s1)->hash;
+            hash2 = ((PyUnicodeObject*)s2)->hash;
+        #endif
+            if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
+                goto return_ne;
+            }
+        }
+#endif
+        kind = __Pyx_PyUnicode_KIND(s1);
+        if (kind != __Pyx_PyUnicode_KIND(s2)) {
+            goto return_ne;
+        }
+        data1 = __Pyx_PyUnicode_DATA(s1);
+        data2 = __Pyx_PyUnicode_DATA(s2);
+        if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
+            goto return_ne;
+        } else if (length == 1) {
+            goto return_eq;
+        } else {
+            int result = memcmp(data1, data2, (size_t)(length * kind));
+            #if PY_MAJOR_VERSION < 3
+            Py_XDECREF(owned_ref);
+            #endif
+            return (equals == Py_EQ) ? (result == 0) : (result != 0);
+        }
+    } else if ((s1 == Py_None) & s2_is_unicode) {
+        goto return_ne;
+    } else if ((s2 == Py_None) & s1_is_unicode) {
+        goto return_ne;
+    } else {
+        int result;
+        PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
+        #if PY_MAJOR_VERSION < 3
+        Py_XDECREF(owned_ref);
+        #endif
+        if (!py_result)
+            return -1;
+        result = __Pyx_PyObject_IsTrue(py_result);
+        Py_DECREF(py_result);
+        return result;
+    }
+return_eq:
+    #if PY_MAJOR_VERSION < 3
+    Py_XDECREF(owned_ref);
+    #endif
+    return (equals == Py_EQ);
+return_ne:
+    #if PY_MAJOR_VERSION < 3
+    Py_XDECREF(owned_ref);
+    #endif
+    return (equals == Py_NE);
+#endif
+}
+
+/* None */
+static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) {
+    Py_ssize_t q = a / b;
+    Py_ssize_t r = a - q*b;
+    q -= ((r != 0) & ((r ^ b) < 0));
+    return q;
+}
+
+/* GetAttr */
+static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
+#if CYTHON_USE_TYPE_SLOTS
+#if PY_MAJOR_VERSION >= 3
+    if (likely(PyUnicode_Check(n)))
+#else
+    if (likely(PyString_Check(n)))
+#endif
+        return __Pyx_PyObject_GetAttrStr(o, n);
+#endif
+    return PyObject_GetAttr(o, n);
+}
+
+/* GetItemInt */
+static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
+    PyObject *r;
+    if (!j) return NULL;
+    r = PyObject_GetItem(o, j);
+    Py_DECREF(j);
+    return r;
+}
+static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
+                                                              CYTHON_NCP_UNUSED int wraparound,
+                                                              CYTHON_NCP_UNUSED int boundscheck) {
+#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
+    Py_ssize_t wrapped_i = i;
+    if (wraparound & unlikely(i < 0)) {
+        wrapped_i += PyList_GET_SIZE(o);
+    }
+    if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {
+        PyObject *r = PyList_GET_ITEM(o, wrapped_i);
+        Py_INCREF(r);
+        return r;
+    }
+    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
+#else
+    return PySequence_GetItem(o, i);
+#endif
+}
+static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
+                                                              CYTHON_NCP_UNUSED int wraparound,
+                                                              CYTHON_NCP_UNUSED int boundscheck) {
+#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
+    Py_ssize_t wrapped_i = i;
+    if (wraparound & unlikely(i < 0)) {
+        wrapped_i += PyTuple_GET_SIZE(o);
+    }
+    if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {
+        PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
+        Py_INCREF(r);
+        return r;
+    }
+    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
+#else
+    return PySequence_GetItem(o, i);
+#endif
+}
+static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
+                                                     CYTHON_NCP_UNUSED int wraparound,
+                                                     CYTHON_NCP_UNUSED int boundscheck) {
+#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
+    if (is_list || PyList_CheckExact(o)) {
+        Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
+        if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {
+            PyObject *r = PyList_GET_ITEM(o, n);
+            Py_INCREF(r);
+            return r;
+        }
+    }
+    else if (PyTuple_CheckExact(o)) {
+        Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
+        if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {
+            PyObject *r = PyTuple_GET_ITEM(o, n);
+            Py_INCREF(r);
+            return r;
+        }
+    } else {
+        PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
+        if (likely(m && m->sq_item)) {
+            if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
+                Py_ssize_t l = m->sq_length(o);
+                if (likely(l >= 0)) {
+                    i += l;
+                } else {
+                    if (!PyErr_ExceptionMatches(PyExc_OverflowError))
+                        return NULL;
+                    PyErr_Clear();
+                }
+            }
+            return m->sq_item(o, i);
+        }
+    }
+#else
+    if (is_list || PySequence_Check(o)) {
+        return PySequence_GetItem(o, i);
+    }
+#endif
+    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
+}
+
+/* ObjectGetItem */
+#if CYTHON_USE_TYPE_SLOTS
+static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
+    PyObject *runerr;
+    Py_ssize_t key_value;
+    PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
+    if (unlikely(!(m && m->sq_item))) {
+        PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
+        return NULL;
+    }
+    key_value = __Pyx_PyIndex_AsSsize_t(index);
+    if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
+        return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
+    }
+    if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
+        PyErr_Clear();
+        PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
+    }
+    return NULL;
+}
+static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
+    PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
+    if (likely(m && m->mp_subscript)) {
+        return m->mp_subscript(obj, key);
+    }
+    return __Pyx_PyObject_GetIndex(obj, key);
+}
+#endif
+
+/* decode_c_string */
+static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
+         const char* cstring, Py_ssize_t start, Py_ssize_t stop,
+         const char* encoding, const char* errors,
+         PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {
+    Py_ssize_t length;
+    if (unlikely((start < 0) | (stop < 0))) {
+        size_t slen = strlen(cstring);
+        if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {
+            PyErr_SetString(PyExc_OverflowError,
+                            "c-string too long to convert to Python");
+            return NULL;
+        }
+        length = (Py_ssize_t) slen;
+        if (start < 0) {
+            start += length;
+            if (start < 0)
+                start = 0;
+        }
+        if (stop < 0)
+            stop += length;
+    }
+    if (unlikely(stop <= start))
+        return __Pyx_NewRef(__pyx_empty_unicode);
+    length = stop - start;
+    cstring += start;
+    if (decode_func) {
+        return decode_func(cstring, length, errors);
+    } else {
+        return PyUnicode_Decode(cstring, length, encoding, errors);
+    }
+}
+
+/* GetAttr3 */
+static PyObject *__Pyx_GetAttr3Default(PyObject *d) {
+    __Pyx_PyThreadState_declare
+    __Pyx_PyThreadState_assign
+    if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
+        return NULL;
+    __Pyx_PyErr_Clear();
+    Py_INCREF(d);
+    return d;
+}
+static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) {
+    PyObject *r = __Pyx_GetAttr(o, n);
+    return (likely(r)) ? r : __Pyx_GetAttr3Default(d);
+}
+
+/* SwapException */
+#if CYTHON_FAST_THREAD_STATE
+static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
+    PyObject *tmp_type, *tmp_value, *tmp_tb;
+    #if CYTHON_USE_EXC_INFO_STACK
+    _PyErr_StackItem *exc_info = tstate->exc_info;
+    tmp_type = exc_info->exc_type;
+    tmp_value = exc_info->exc_value;
+    tmp_tb = exc_info->exc_traceback;
+    exc_info->exc_type = *type;
+    exc_info->exc_value = *value;
+    exc_info->exc_traceback = *tb;
+    #else
+    tmp_type = tstate->exc_type;
+    tmp_value = tstate->exc_value;
+    tmp_tb = tstate->exc_traceback;
+    tstate->exc_type = *type;
+    tstate->exc_value = *value;
+    tstate->exc_traceback = *tb;
+    #endif
+    *type = tmp_type;
+    *value = tmp_value;
+    *tb = tmp_tb;
+}
+#else
+static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
+    PyObject *tmp_type, *tmp_value, *tmp_tb;
+    PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
+    PyErr_SetExcInfo(*type, *value, *tb);
+    *type = tmp_type;
+    *value = tmp_value;
+    *tb = tmp_tb;
+}
+#endif
+
+/* Import */
+static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
+    PyObject *empty_list = 0;
+    PyObject *module = 0;
+    PyObject *global_dict = 0;
+    PyObject *empty_dict = 0;
+    PyObject *list;
+    #if PY_MAJOR_VERSION < 3
+    PyObject *py_import;
+    py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
+    if (!py_import)
+        goto bad;
+    #endif
+    if (from_list)
+        list = from_list;
+    else {
+        empty_list = PyList_New(0);
+        if (!empty_list)
+            goto bad;
+        list = empty_list;
+    }
+    global_dict = PyModule_GetDict(__pyx_m);
+    if (!global_dict)
+        goto bad;
+    empty_dict = PyDict_New();
+    if (!empty_dict)
+        goto bad;
+    {
+        #if PY_MAJOR_VERSION >= 3
+        if (level == -1) {
+            if ((1) && (strchr(__Pyx_MODULE_NAME, '.'))) {
+                module = PyImport_ImportModuleLevelObject(
+                    name, global_dict, empty_dict, list, 1);
+                if (!module) {
+                    if (!PyErr_ExceptionMatches(PyExc_ImportError))
+                        goto bad;
+                    PyErr_Clear();
+                }
+            }
+            level = 0;
+        }
+        #endif
+        if (!module) {
+            #if PY_MAJOR_VERSION < 3
+            PyObject *py_level = PyInt_FromLong(level);
+            if (!py_level)
+                goto bad;
+            module = PyObject_CallFunctionObjArgs(py_import,
+                name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);
+            Py_DECREF(py_level);
+            #else
+            module = PyImport_ImportModuleLevelObject(
+                name, global_dict, empty_dict, list, level);
+            #endif
+        }
+    }
+bad:
+    #if PY_MAJOR_VERSION < 3
+    Py_XDECREF(py_import);
+    #endif
+    Py_XDECREF(empty_list);
+    Py_XDECREF(empty_dict);
+    return module;
+}
+
+/* FastTypeChecks */
+#if CYTHON_COMPILING_IN_CPYTHON
+static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
+    while (a) {
+        a = a->tp_base;
+        if (a == b)
+            return 1;
+    }
+    return b == &PyBaseObject_Type;
+}
+static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
+    PyObject *mro;
+    if (a == b) return 1;
+    mro = a->tp_mro;
+    if (likely(mro)) {
+        Py_ssize_t i, n;
+        n = PyTuple_GET_SIZE(mro);
+        for (i = 0; i < n; i++) {
+            if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
+                return 1;
+        }
+        return 0;
+    }
+    return __Pyx_InBases(a, b);
+}
+#if PY_MAJOR_VERSION == 2
+static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
+    PyObject *exception, *value, *tb;
+    int res;
+    __Pyx_PyThreadState_declare
+    __Pyx_PyThreadState_assign
+    __Pyx_ErrFetch(&exception, &value, &tb);
+    res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
+    if (unlikely(res == -1)) {
+        PyErr_WriteUnraisable(err);
+        res = 0;
+    }
+    if (!res) {
+        res = PyObject_IsSubclass(err, exc_type2);
+        if (unlikely(res == -1)) {
+            PyErr_WriteUnraisable(err);
+            res = 0;
+        }
+    }
+    __Pyx_ErrRestore(exception, value, tb);
+    return res;
+}
+#else
+static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
+    int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
+    if (!res) {
+        res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
+    }
+    return res;
+}
+#endif
+static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
+    Py_ssize_t i, n;
+    assert(PyExceptionClass_Check(exc_type));
+    n = PyTuple_GET_SIZE(tuple);
+#if PY_MAJOR_VERSION >= 3
+    for (i=0; i<n; i++) {
+        if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
+    }
+#endif
+    for (i=0; i<n; i++) {
+        PyObject *t = PyTuple_GET_ITEM(tuple, i);
+        #if PY_MAJOR_VERSION < 3
+        if (likely(exc_type == t)) return 1;
+        #endif
+        if (likely(PyExceptionClass_Check(t))) {
+            if (__Pyx_inner_PyErr_GivenExceptionMatches2(exc_type, NULL, t)) return 1;
+        } else {
+        }
+    }
+    return 0;
+}
+static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
+    if (likely(err == exc_type)) return 1;
+    if (likely(PyExceptionClass_Check(err))) {
+        if (likely(PyExceptionClass_Check(exc_type))) {
+            return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
+        } else if (likely(PyTuple_Check(exc_type))) {
+            return __Pyx_PyErr_GivenExceptionMatchesTuple(err, exc_type);
+        } else {
+        }
+    }
+    return PyErr_GivenExceptionMatches(err, exc_type);
+}
+static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
+    assert(PyExceptionClass_Check(exc_type1));
+    assert(PyExceptionClass_Check(exc_type2));
+    if (likely(err == exc_type1 || err == exc_type2)) return 1;
+    if (likely(PyExceptionClass_Check(err))) {
+        return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
+    }
+    return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
+}
+#endif
+
+/* PyIntBinop */
+#if !CYTHON_COMPILING_IN_PYPY
+static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {
+    (void)inplace;
+    (void)zerodivision_check;
+    #if PY_MAJOR_VERSION < 3
+    if (likely(PyInt_CheckExact(op1))) {
+        const long b = intval;
+        long x;
+        long a = PyInt_AS_LONG(op1);
+            x = (long)((unsigned long)a + b);
+            if (likely((x^a) >= 0 || (x^b) >= 0))
+                return PyInt_FromLong(x);
+            return PyLong_Type.tp_as_number->nb_add(op1, op2);
+    }
+    #endif
+    #if CYTHON_USE_PYLONG_INTERNALS
+    if (likely(PyLong_CheckExact(op1))) {
+        const long b = intval;
+        long a, x;
+#ifdef HAVE_LONG_LONG
+        const PY_LONG_LONG llb = intval;
+        PY_LONG_LONG lla, llx;
+#endif
+        const digit* digits = ((PyLongObject*)op1)->ob_digit;
+        const Py_ssize_t size = Py_SIZE(op1);
+        if (likely(__Pyx_sst_abs(size) <= 1)) {
+            a = likely(size) ? digits[0] : 0;
+            if (size == -1) a = -a;
+        } else {
+            switch (size) {
+                case -2:
+                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
+                        a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
+                        break;
+#ifdef HAVE_LONG_LONG
+                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
+                        lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
+                        goto long_long;
+#endif
+                    }
+                    CYTHON_FALLTHROUGH;
+                case 2:
+                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
+                        a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
+                        break;
+#ifdef HAVE_LONG_LONG
+                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
+                        lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
+                        goto long_long;
+#endif
+                    }
+                    CYTHON_FALLTHROUGH;
+                case -3:
+                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
+                        a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
+                        break;
+#ifdef HAVE_LONG_LONG
+                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
+                        lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
+                        goto long_long;
+#endif
+                    }
+                    CYTHON_FALLTHROUGH;
+                case 3:
+                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
+                        a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
+                        break;
+#ifdef HAVE_LONG_LONG
+                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
+                        lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
+                        goto long_long;
+#endif
+                    }
+                    CYTHON_FALLTHROUGH;
+                case -4:
+                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
+                        a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
+                        break;
+#ifdef HAVE_LONG_LONG
+                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
+                        lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
+                        goto long_long;
+#endif
+                    }
+                    CYTHON_FALLTHROUGH;
+                case 4:
+                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
+                        a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
+                        break;
+#ifdef HAVE_LONG_LONG
+                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
+                        lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
+                        goto long_long;
+#endif
+                    }
+                    CYTHON_FALLTHROUGH;
+                default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
+            }
+        }
+                x = a + b;
+            return PyLong_FromLong(x);
+#ifdef HAVE_LONG_LONG
+        long_long:
+                llx = lla + llb;
+            return PyLong_FromLongLong(llx);
+#endif
+        
+        
+    }
+    #endif
+    if (PyFloat_CheckExact(op1)) {
+        const long b = intval;
+        double a = PyFloat_AS_DOUBLE(op1);
+            double result;
+            PyFPE_START_PROTECT("add", return NULL)
+            result = ((double)a) + (double)b;
+            PyFPE_END_PROTECT(result)
+            return PyFloat_FromDouble(result);
+    }
+    return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);
+}
+#endif
+
+/* None */
+static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
+    PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
+}
+
+/* None */
+static CYTHON_INLINE long __Pyx_div_long(long a, long b) {
+    long q = a / b;
+    long r = a - q*b;
+    q -= ((r != 0) & ((r ^ b) < 0));
+    return q;
+}
+
+/* ImportFrom */
+static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
+    PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
+    if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
+        PyErr_Format(PyExc_ImportError,
+        #if PY_MAJOR_VERSION < 3
+            "cannot import name %.230s", PyString_AS_STRING(name));
+        #else
+            "cannot import name %S", name);
+        #endif
+    }
+    return value;
+}
+
+/* HasAttr */
+static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) {
+    PyObject *r;
+    if (unlikely(!__Pyx_PyBaseString_Check(n))) {
+        PyErr_SetString(PyExc_TypeError,
+                        "hasattr(): attribute name must be string");
+        return -1;
+    }
+    r = __Pyx_GetAttr(o, n);
+    if (unlikely(!r)) {
+        PyErr_Clear();
+        return 0;
+    } else {
+        Py_DECREF(r);
+        return 1;
+    }
+}
+
+/* StringJoin */
+#if !CYTHON_COMPILING_IN_CPYTHON
+static CYTHON_INLINE PyObject* __Pyx_PyBytes_Join(PyObject* sep, PyObject* values) {
+    return PyObject_CallMethodObjArgs(sep, __pyx_n_s_join, values, NULL);
+}
+#endif
+
+/* PyObject_GenericGetAttrNoDict */
+#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
+static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) {
+    PyErr_Format(PyExc_AttributeError,
+#if PY_MAJOR_VERSION >= 3
+                 "'%.50s' object has no attribute '%U'",
+                 tp->tp_name, attr_name);
+#else
+                 "'%.50s' object has no attribute '%.400s'",
+                 tp->tp_name, PyString_AS_STRING(attr_name));
+#endif
+    return NULL;
+}
+static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {
+    PyObject *descr;
+    PyTypeObject *tp = Py_TYPE(obj);
+    if (unlikely(!PyString_Check(attr_name))) {
+        return PyObject_GenericGetAttr(obj, attr_name);
+    }
+    assert(!tp->tp_dictoffset);
+    descr = _PyType_Lookup(tp, attr_name);
+    if (unlikely(!descr)) {
+        return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);
+    }
+    Py_INCREF(descr);
+    #if PY_MAJOR_VERSION < 3
+    if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))
+    #endif
+    {
+        descrgetfunc f = Py_TYPE(descr)->tp_descr_get;
+        if (unlikely(f)) {
+            PyObject *res = f(descr, obj, (PyObject *)tp);
+            Py_DECREF(descr);
+            return res;
+        }
+    }
+    return descr;
+}
+#endif
+
+/* PyObject_GenericGetAttr */
+#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
+static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) {
+    if (unlikely(Py_TYPE(obj)->tp_dictoffset)) {
+        return PyObject_GenericGetAttr(obj, attr_name);
+    }
+    return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name);
+}
+#endif
+
+/* SetVTable */
+static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
+#if PY_VERSION_HEX >= 0x02070000
+    PyObject *ob = PyCapsule_New(vtable, 0, 0);
+#else
+    PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
+#endif
+    if (!ob)
+        goto bad;
+    if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)
+        goto bad;
+    Py_DECREF(ob);
+    return 0;
+bad:
+    Py_XDECREF(ob);
+    return -1;
+}
+
+/* PyObjectGetAttrStrNoError */
+static void __Pyx_PyObject_GetAttrStr_ClearAttributeError(void) {
+    __Pyx_PyThreadState_declare
+    __Pyx_PyThreadState_assign
+    if (likely(__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
+        __Pyx_PyErr_Clear();
+}
+static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name) {
+    PyObject *result;
+#if CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_TYPE_SLOTS && PY_VERSION_HEX >= 0x030700B1
+    PyTypeObject* tp = Py_TYPE(obj);
+    if (likely(tp->tp_getattro == PyObject_GenericGetAttr)) {
+        return _PyObject_GenericGetAttrWithDict(obj, attr_name, NULL, 1);
+    }
+#endif
+    result = __Pyx_PyObject_GetAttrStr(obj, attr_name);
+    if (unlikely(!result)) {
+        __Pyx_PyObject_GetAttrStr_ClearAttributeError();
+    }
+    return result;
+}
+
+/* SetupReduce */
+static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) {
+  int ret;
+  PyObject *name_attr;
+  name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2);
+  if (likely(name_attr)) {
+      ret = PyObject_RichCompareBool(name_attr, name, Py_EQ);
+  } else {
+      ret = -1;
+  }
+  if (unlikely(ret < 0)) {
+      PyErr_Clear();
+      ret = 0;
+  }
+  Py_XDECREF(name_attr);
+  return ret;
+}
+static int __Pyx_setup_reduce(PyObject* type_obj) {
+    int ret = 0;
+    PyObject *object_reduce = NULL;
+    PyObject *object_reduce_ex = NULL;
+    PyObject *reduce = NULL;
+    PyObject *reduce_ex = NULL;
+    PyObject *reduce_cython = NULL;
+    PyObject *setstate = NULL;
+    PyObject *setstate_cython = NULL;
+#if CYTHON_USE_PYTYPE_LOOKUP
+    if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD;
+#else
+    if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD;
+#endif
+#if CYTHON_USE_PYTYPE_LOOKUP
+    object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD;
+#else
+    object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD;
+#endif
+    reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD;
+    if (reduce_ex == object_reduce_ex) {
+#if CYTHON_USE_PYTYPE_LOOKUP
+        object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD;
+#else
+        object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD;
+#endif
+        reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto __PYX_BAD;
+        if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) {
+            reduce_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_reduce_cython);
+            if (likely(reduce_cython)) {
+                ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
+                ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
+            } else if (reduce == object_reduce || PyErr_Occurred()) {
+                goto __PYX_BAD;
+            }
+            setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate);
+            if (!setstate) PyErr_Clear();
+            if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) {
+                setstate_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_setstate_cython);
+                if (likely(setstate_cython)) {
+                    ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
+                    ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
+                } else if (!setstate || PyErr_Occurred()) {
+                    goto __PYX_BAD;
+                }
+            }
+            PyType_Modified((PyTypeObject*)type_obj);
+        }
+    }
+    goto __PYX_GOOD;
+__PYX_BAD:
+    if (!PyErr_Occurred())
+        PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name);
+    ret = -1;
+__PYX_GOOD:
+#if !CYTHON_USE_PYTYPE_LOOKUP
+    Py_XDECREF(object_reduce);
+    Py_XDECREF(object_reduce_ex);
+#endif
+    Py_XDECREF(reduce);
+    Py_XDECREF(reduce_ex);
+    Py_XDECREF(reduce_cython);
+    Py_XDECREF(setstate);
+    Py_XDECREF(setstate_cython);
+    return ret;
+}
+
+/* TypeImport */
+#ifndef __PYX_HAVE_RT_ImportType
+#define __PYX_HAVE_RT_ImportType
+static PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name,
+    size_t size, enum __Pyx_ImportType_CheckSize check_size)
+{
+    PyObject *result = 0;
+    char warning[200];
+    Py_ssize_t basicsize;
+#ifdef Py_LIMITED_API
+    PyObject *py_basicsize;
+#endif
+    result = PyObject_GetAttrString(module, class_name);
+    if (!result)
+        goto bad;
+    if (!PyType_Check(result)) {
+        PyErr_Format(PyExc_TypeError,
+            "%.200s.%.200s is not a type object",
+            module_name, class_name);
+        goto bad;
+    }
+#ifndef Py_LIMITED_API
+    basicsize = ((PyTypeObject *)result)->tp_basicsize;
+#else
+    py_basicsize = PyObject_GetAttrString(result, "__basicsize__");
+    if (!py_basicsize)
+        goto bad;
+    basicsize = PyLong_AsSsize_t(py_basicsize);
+    Py_DECREF(py_basicsize);
+    py_basicsize = 0;
+    if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())
+        goto bad;
+#endif
+    if ((size_t)basicsize < size) {
+        PyErr_Format(PyExc_ValueError,
+            "%.200s.%.200s size changed, may indicate binary incompatibility. "
+            "Expected %zd from C header, got %zd from PyObject",
+            module_name, class_name, size, basicsize);
+        goto bad;
+    }
+    if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) {
+        PyErr_Format(PyExc_ValueError,
+            "%.200s.%.200s size changed, may indicate binary incompatibility. "
+            "Expected %zd from C header, got %zd from PyObject",
+            module_name, class_name, size, basicsize);
+        goto bad;
+    }
+    else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) {
+        PyOS_snprintf(warning, sizeof(warning),
+            "%s.%s size changed, may indicate binary incompatibility. "
+            "Expected %zd from C header, got %zd from PyObject",
+            module_name, class_name, size, basicsize);
+        if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
+    }
+    return (PyTypeObject *)result;
+bad:
+    Py_XDECREF(result);
+    return NULL;
+}
+#endif
+
+/* CLineInTraceback */
+#ifndef CYTHON_CLINE_IN_TRACEBACK
+static int __Pyx_CLineForTraceback(CYTHON_NCP_UNUSED PyThreadState *tstate, int c_line) {
+    PyObject *use_cline;
+    PyObject *ptype, *pvalue, *ptraceback;
+#if CYTHON_COMPILING_IN_CPYTHON
+    PyObject **cython_runtime_dict;
+#endif
+    if (unlikely(!__pyx_cython_runtime)) {
+        return c_line;
+    }
+    __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
+#if CYTHON_COMPILING_IN_CPYTHON
+    cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
+    if (likely(cython_runtime_dict)) {
+        __PYX_PY_DICT_LOOKUP_IF_MODIFIED(
+            use_cline, *cython_runtime_dict,
+            __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))
+    } else
+#endif
+    {
+      PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
+      if (use_cline_obj) {
+        use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
+        Py_DECREF(use_cline_obj);
+      } else {
+        PyErr_Clear();
+        use_cline = NULL;
+      }
+    }
+    if (!use_cline) {
+        c_line = 0;
+        PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
+    }
+    else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {
+        c_line = 0;
+    }
+    __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
+    return c_line;
+}
+#endif
+
+/* CodeObjectCache */
+static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
+    int start = 0, mid = 0, end = count - 1;
+    if (end >= 0 && code_line > entries[end].code_line) {
+        return count;
+    }
+    while (start < end) {
+        mid = start + (end - start) / 2;
+        if (code_line < entries[mid].code_line) {
+            end = mid;
+        } else if (code_line > entries[mid].code_line) {
+             start = mid + 1;
+        } else {
+            return mid;
+        }
+    }
+    if (code_line <= entries[mid].code_line) {
+        return mid;
+    } else {
+        return mid + 1;
+    }
+}
+static PyCodeObject *__pyx_find_code_object(int code_line) {
+    PyCodeObject* code_object;
+    int pos;
+    if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
+        return NULL;
+    }
+    pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
+    if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
+        return NULL;
+    }
+    code_object = __pyx_code_cache.entries[pos].code_object;
+    Py_INCREF(code_object);
+    return code_object;
+}
+static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
+    int pos, i;
+    __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
+    if (unlikely(!code_line)) {
+        return;
+    }
+    if (unlikely(!entries)) {
+        entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
+        if (likely(entries)) {
+            __pyx_code_cache.entries = entries;
+            __pyx_code_cache.max_count = 64;
+            __pyx_code_cache.count = 1;
+            entries[0].code_line = code_line;
+            entries[0].code_object = code_object;
+            Py_INCREF(code_object);
+        }
+        return;
+    }
+    pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
+    if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
+        PyCodeObject* tmp = entries[pos].code_object;
+        entries[pos].code_object = code_object;
+        Py_DECREF(tmp);
+        return;
+    }
+    if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
+        int new_max = __pyx_code_cache.max_count + 64;
+        entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
+            __pyx_code_cache.entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry));
+        if (unlikely(!entries)) {
+            return;
+        }
+        __pyx_code_cache.entries = entries;
+        __pyx_code_cache.max_count = new_max;
+    }
+    for (i=__pyx_code_cache.count; i>pos; i--) {
+        entries[i] = entries[i-1];
+    }
+    entries[pos].code_line = code_line;
+    entries[pos].code_object = code_object;
+    __pyx_code_cache.count++;
+    Py_INCREF(code_object);
+}
+
+/* AddTraceback */
+#include "compile.h"
+#include "frameobject.h"
+#include "traceback.h"
+static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
+            const char *funcname, int c_line,
+            int py_line, const char *filename) {
+    PyCodeObject *py_code = 0;
+    PyObject *py_srcfile = 0;
+    PyObject *py_funcname = 0;
+    #if PY_MAJOR_VERSION < 3
+    py_srcfile = PyString_FromString(filename);
+    #else
+    py_srcfile = PyUnicode_FromString(filename);
+    #endif
+    if (!py_srcfile) goto bad;
+    if (c_line) {
+        #if PY_MAJOR_VERSION < 3
+        py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
+        #else
+        py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
+        #endif
+    }
+    else {
+        #if PY_MAJOR_VERSION < 3
+        py_funcname = PyString_FromString(funcname);
+        #else
+        py_funcname = PyUnicode_FromString(funcname);
+        #endif
+    }
+    if (!py_funcname) goto bad;
+    py_code = __Pyx_PyCode_New(
+        0,
+        0,
+        0,
+        0,
+        0,
+        __pyx_empty_bytes, /*PyObject *code,*/
+        __pyx_empty_tuple, /*PyObject *consts,*/
+        __pyx_empty_tuple, /*PyObject *names,*/
+        __pyx_empty_tuple, /*PyObject *varnames,*/
+        __pyx_empty_tuple, /*PyObject *freevars,*/
+        __pyx_empty_tuple, /*PyObject *cellvars,*/
+        py_srcfile,   /*PyObject *filename,*/
+        py_funcname,  /*PyObject *name,*/
+        py_line,
+        __pyx_empty_bytes  /*PyObject *lnotab*/
+    );
+    Py_DECREF(py_srcfile);
+    Py_DECREF(py_funcname);
+    return py_code;
+bad:
+    Py_XDECREF(py_srcfile);
+    Py_XDECREF(py_funcname);
+    return NULL;
+}
+static void __Pyx_AddTraceback(const char *funcname, int c_line,
+                               int py_line, const char *filename) {
+    PyCodeObject *py_code = 0;
+    PyFrameObject *py_frame = 0;
+    PyThreadState *tstate = __Pyx_PyThreadState_Current;
+    if (c_line) {
+        c_line = __Pyx_CLineForTraceback(tstate, c_line);
+    }
+    py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
+    if (!py_code) {
+        py_code = __Pyx_CreateCodeObjectForTraceback(
+            funcname, c_line, py_line, filename);
+        if (!py_code) goto bad;
+        __pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
+    }
+    py_frame = PyFrame_New(
+        tstate,            /*PyThreadState *tstate,*/
+        py_code,           /*PyCodeObject *code,*/
+        __pyx_d,    /*PyObject *globals,*/
+        0                  /*PyObject *locals*/
+    );
+    if (!py_frame) goto bad;
+    __Pyx_PyFrame_SetLineNumber(py_frame, py_line);
+    PyTraceBack_Here(py_frame);
+bad:
+    Py_XDECREF(py_code);
+    Py_XDECREF(py_frame);
+}
+
+#if PY_MAJOR_VERSION < 3
+static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
+    if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
+        if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);
+        if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags);
+    PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
+    return -1;
+}
+static void __Pyx_ReleaseBuffer(Py_buffer *view) {
+    PyObject *obj = view->obj;
+    if (!obj) return;
+    if (PyObject_CheckBuffer(obj)) {
+        PyBuffer_Release(view);
+        return;
+    }
+    if ((0)) {}
+    view->obj = NULL;
+    Py_DECREF(obj);
+}
+#endif
+
+
+/* MemviewSliceIsContig */
+static int
+__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim)
+{
+    int i, index, step, start;
+    Py_ssize_t itemsize = mvs.memview->view.itemsize;
+    if (order == 'F') {
+        step = 1;
+        start = 0;
+    } else {
+        step = -1;
+        start = ndim - 1;
+    }
+    for (i = 0; i < ndim; i++) {
+        index = start + step * i;
+        if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize)
+            return 0;
+        itemsize *= mvs.shape[index];
+    }
+    return 1;
+}
+
+/* OverlappingSlices */
+static void
+__pyx_get_array_memory_extents(__Pyx_memviewslice *slice,
+                               void **out_start, void **out_end,
+                               int ndim, size_t itemsize)
+{
+    char *start, *end;
+    int i;
+    start = end = slice->data;
+    for (i = 0; i < ndim; i++) {
+        Py_ssize_t stride = slice->strides[i];
+        Py_ssize_t extent = slice->shape[i];
+        if (extent == 0) {
+            *out_start = *out_end = start;
+            return;
+        } else {
+            if (stride > 0)
+                end += stride * (extent - 1);
+            else
+                start += stride * (extent - 1);
+        }
+    }
+    *out_start = start;
+    *out_end = end + itemsize;
+}
+static int
+__pyx_slices_overlap(__Pyx_memviewslice *slice1,
+                     __Pyx_memviewslice *slice2,
+                     int ndim, size_t itemsize)
+{
+    void *start1, *end1, *start2, *end2;
+    __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize);
+    __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize);
+    return (start1 < end2) && (start2 < end1);
+}
+
+/* Capsule */
+static CYTHON_INLINE PyObject *
+__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig)
+{
+    PyObject *cobj;
+#if PY_VERSION_HEX >= 0x02070000
+    cobj = PyCapsule_New(p, sig, NULL);
+#else
+    cobj = PyCObject_FromVoidPtr(p, NULL);
+#endif
+    return cobj;
+}
+
+/* CIntToPy */
+static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
+    const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
+    const int is_unsigned = neg_one > const_zero;
+    if (is_unsigned) {
+        if (sizeof(int) < sizeof(long)) {
+            return PyInt_FromLong((long) value);
+        } else if (sizeof(int) <= sizeof(unsigned long)) {
+            return PyLong_FromUnsignedLong((unsigned long) value);
+#ifdef HAVE_LONG_LONG
+        } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
+            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
+#endif
+        }
+    } else {
+        if (sizeof(int) <= sizeof(long)) {
+            return PyInt_FromLong((long) value);
+#ifdef HAVE_LONG_LONG
+        } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
+            return PyLong_FromLongLong((PY_LONG_LONG) value);
+#endif
+        }
+    }
+    {
+        int one = 1; int little = (int)*(unsigned char *)&one;
+        unsigned char *bytes = (unsigned char *)&value;
+        return _PyLong_FromByteArray(bytes, sizeof(int),
+                                     little, !is_unsigned);
+    }
+}
+
+/* CIntFromPyVerify */
+#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
+    __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
+#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
+    __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
+#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
+    {\
+        func_type value = func_value;\
+        if (sizeof(target_type) < sizeof(func_type)) {\
+            if (unlikely(value != (func_type) (target_type) value)) {\
+                func_type zero = 0;\
+                if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
+                    return (target_type) -1;\
+                if (is_unsigned && unlikely(value < zero))\
+                    goto raise_neg_overflow;\
+                else\
+                    goto raise_overflow;\
+            }\
+        }\
+        return (target_type) value;\
+    }
+
+/* Declarations */
+#if CYTHON_CCOMPLEX
+  #ifdef __cplusplus
+    static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
+      return ::std::complex< float >(x, y);
+    }
+  #else
+    static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
+      return x + y*(__pyx_t_float_complex)_Complex_I;
+    }
+  #endif
+#else
+    static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
+      __pyx_t_float_complex z;
+      z.real = x;
+      z.imag = y;
+      return z;
+    }
+#endif
+
+/* Arithmetic */
+#if CYTHON_CCOMPLEX
+#else
+    static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
+       return (a.real == b.real) && (a.imag == b.imag);
+    }
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
+        __pyx_t_float_complex z;
+        z.real = a.real + b.real;
+        z.imag = a.imag + b.imag;
+        return z;
+    }
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
+        __pyx_t_float_complex z;
+        z.real = a.real - b.real;
+        z.imag = a.imag - b.imag;
+        return z;
+    }
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
+        __pyx_t_float_complex z;
+        z.real = a.real * b.real - a.imag * b.imag;
+        z.imag = a.real * b.imag + a.imag * b.real;
+        return z;
+    }
+    #if 1
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
+        if (b.imag == 0) {
+            return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
+        } else if (fabsf(b.real) >= fabsf(b.imag)) {
+            if (b.real == 0 && b.imag == 0) {
+                return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag);
+            } else {
+                float r = b.imag / b.real;
+                float s = (float)(1.0) / (b.real + b.imag * r);
+                return __pyx_t_float_complex_from_parts(
+                    (a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
+            }
+        } else {
+            float r = b.real / b.imag;
+            float s = (float)(1.0) / (b.imag + b.real * r);
+            return __pyx_t_float_complex_from_parts(
+                (a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
+        }
+    }
+    #else
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
+        if (b.imag == 0) {
+            return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
+        } else {
+            float denom = b.real * b.real + b.imag * b.imag;
+            return __pyx_t_float_complex_from_parts(
+                (a.real * b.real + a.imag * b.imag) / denom,
+                (a.imag * b.real - a.real * b.imag) / denom);
+        }
+    }
+    #endif
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) {
+        __pyx_t_float_complex z;
+        z.real = -a.real;
+        z.imag = -a.imag;
+        return z;
+    }
+    static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) {
+       return (a.real == 0) && (a.imag == 0);
+    }
+    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) {
+        __pyx_t_float_complex z;
+        z.real =  a.real;
+        z.imag = -a.imag;
+        return z;
+    }
+    #if 1
+        static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) {
+          #if !defined(HAVE_HYPOT) || defined(_MSC_VER)
+            return sqrtf(z.real*z.real + z.imag*z.imag);
+          #else
+            return hypotf(z.real, z.imag);
+          #endif
+        }
+        static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
+            __pyx_t_float_complex z;
+            float r, lnr, theta, z_r, z_theta;
+            if (b.imag == 0 && b.real == (int)b.real) {
+                if (b.real < 0) {
+                    float denom = a.real * a.real + a.imag * a.imag;
+                    a.real = a.real / denom;
+                    a.imag = -a.imag / denom;
+                    b.real = -b.real;
+                }
+                switch ((int)b.real) {
+                    case 0:
+                        z.real = 1;
+                        z.imag = 0;
+                        return z;
+                    case 1:
+                        return a;
+                    case 2:
+                        return __Pyx_c_prod_float(a, a);
+                    case 3:
+                        z = __Pyx_c_prod_float(a, a);
+                        return __Pyx_c_prod_float(z, a);
+                    case 4:
+                        z = __Pyx_c_prod_float(a, a);
+                        return __Pyx_c_prod_float(z, z);
+                }
+            }
+            if (a.imag == 0) {
+                if (a.real == 0) {
+                    return a;
+                } else if (b.imag == 0) {
+                    z.real = powf(a.real, b.real);
+                    z.imag = 0;
+                    return z;
+                } else if (a.real > 0) {
+                    r = a.real;
+                    theta = 0;
+                } else {
+                    r = -a.real;
+                    theta = atan2f(0.0, -1.0);
+                }
+            } else {
+                r = __Pyx_c_abs_float(a);
+                theta = atan2f(a.imag, a.real);
+            }
+            lnr = logf(r);
+            z_r = expf(lnr * b.real - theta * b.imag);
+            z_theta = theta * b.real + lnr * b.imag;
+            z.real = z_r * cosf(z_theta);
+            z.imag = z_r * sinf(z_theta);
+            return z;
+        }
+    #endif
+#endif
+
+/* Declarations */
+#if CYTHON_CCOMPLEX
+  #ifdef __cplusplus
+    static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
+      return ::std::complex< double >(x, y);
+    }
+  #else
+    static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
+      return x + y*(__pyx_t_double_complex)_Complex_I;
+    }
+  #endif
+#else
+    static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
+      __pyx_t_double_complex z;
+      z.real = x;
+      z.imag = y;
+      return z;
+    }
+#endif
+
+/* Arithmetic */
+#if CYTHON_CCOMPLEX
+#else
+    static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
+       return (a.real == b.real) && (a.imag == b.imag);
+    }
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
+        __pyx_t_double_complex z;
+        z.real = a.real + b.real;
+        z.imag = a.imag + b.imag;
+        return z;
+    }
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
+        __pyx_t_double_complex z;
+        z.real = a.real - b.real;
+        z.imag = a.imag - b.imag;
+        return z;
+    }
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
+        __pyx_t_double_complex z;
+        z.real = a.real * b.real - a.imag * b.imag;
+        z.imag = a.real * b.imag + a.imag * b.real;
+        return z;
+    }
+    #if 1
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
+        if (b.imag == 0) {
+            return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
+        } else if (fabs(b.real) >= fabs(b.imag)) {
+            if (b.real == 0 && b.imag == 0) {
+                return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag);
+            } else {
+                double r = b.imag / b.real;
+                double s = (double)(1.0) / (b.real + b.imag * r);
+                return __pyx_t_double_complex_from_parts(
+                    (a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
+            }
+        } else {
+            double r = b.real / b.imag;
+            double s = (double)(1.0) / (b.imag + b.real * r);
+            return __pyx_t_double_complex_from_parts(
+                (a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
+        }
+    }
+    #else
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
+        if (b.imag == 0) {
+            return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
+        } else {
+            double denom = b.real * b.real + b.imag * b.imag;
+            return __pyx_t_double_complex_from_parts(
+                (a.real * b.real + a.imag * b.imag) / denom,
+                (a.imag * b.real - a.real * b.imag) / denom);
+        }
+    }
+    #endif
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) {
+        __pyx_t_double_complex z;
+        z.real = -a.real;
+        z.imag = -a.imag;
+        return z;
+    }
+    static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) {
+       return (a.real == 0) && (a.imag == 0);
+    }
+    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) {
+        __pyx_t_double_complex z;
+        z.real =  a.real;
+        z.imag = -a.imag;
+        return z;
+    }
+    #if 1
+        static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) {
+          #if !defined(HAVE_HYPOT) || defined(_MSC_VER)
+            return sqrt(z.real*z.real + z.imag*z.imag);
+          #else
+            return hypot(z.real, z.imag);
+          #endif
+        }
+        static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
+            __pyx_t_double_complex z;
+            double r, lnr, theta, z_r, z_theta;
+            if (b.imag == 0 && b.real == (int)b.real) {
+                if (b.real < 0) {
+                    double denom = a.real * a.real + a.imag * a.imag;
+                    a.real = a.real / denom;
+                    a.imag = -a.imag / denom;
+                    b.real = -b.real;
+                }
+                switch ((int)b.real) {
+                    case 0:
+                        z.real = 1;
+                        z.imag = 0;
+                        return z;
+                    case 1:
+                        return a;
+                    case 2:
+                        return __Pyx_c_prod_double(a, a);
+                    case 3:
+                        z = __Pyx_c_prod_double(a, a);
+                        return __Pyx_c_prod_double(z, a);
+                    case 4:
+                        z = __Pyx_c_prod_double(a, a);
+                        return __Pyx_c_prod_double(z, z);
+                }
+            }
+            if (a.imag == 0) {
+                if (a.real == 0) {
+                    return a;
+                } else if (b.imag == 0) {
+                    z.real = pow(a.real, b.real);
+                    z.imag = 0;
+                    return z;
+                } else if (a.real > 0) {
+                    r = a.real;
+                    theta = 0;
+                } else {
+                    r = -a.real;
+                    theta = atan2(0.0, -1.0);
+                }
+            } else {
+                r = __Pyx_c_abs_double(a);
+                theta = atan2(a.imag, a.real);
+            }
+            lnr = log(r);
+            z_r = exp(lnr * b.real - theta * b.imag);
+            z_theta = theta * b.real + lnr * b.imag;
+            z.real = z_r * cos(z_theta);
+            z.imag = z_r * sin(z_theta);
+            return z;
+        }
+    #endif
+#endif
+
+/* CIntToPy */
+static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) {
+    const enum NPY_TYPES neg_one = (enum NPY_TYPES) ((enum NPY_TYPES) 0 - (enum NPY_TYPES) 1), const_zero = (enum NPY_TYPES) 0;
+    const int is_unsigned = neg_one > const_zero;
+    if (is_unsigned) {
+        if (sizeof(enum NPY_TYPES) < sizeof(long)) {
+            return PyInt_FromLong((long) value);
+        } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) {
+            return PyLong_FromUnsignedLong((unsigned long) value);
+#ifdef HAVE_LONG_LONG
+        } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) {
+            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
+#endif
+        }
+    } else {
+        if (sizeof(enum NPY_TYPES) <= sizeof(long)) {
+            return PyInt_FromLong((long) value);
+#ifdef HAVE_LONG_LONG
+        } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) {
+            return PyLong_FromLongLong((PY_LONG_LONG) value);
+#endif
+        }
+    }
+    {
+        int one = 1; int little = (int)*(unsigned char *)&one;
+        unsigned char *bytes = (unsigned char *)&value;
+        return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES),
+                                     little, !is_unsigned);
+    }
+}
+
+/* MemviewSliceCopyTemplate */
+static __Pyx_memviewslice
+__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
+                                 const char *mode, int ndim,
+                                 size_t sizeof_dtype, int contig_flag,
+                                 int dtype_is_object)
+{
+    __Pyx_RefNannyDeclarations
+    int i;
+    __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } };
+    struct __pyx_memoryview_obj *from_memview = from_mvs->memview;
+    Py_buffer *buf = &from_memview->view;
+    PyObject *shape_tuple = NULL;
+    PyObject *temp_int = NULL;
+    struct __pyx_array_obj *array_obj = NULL;
+    struct __pyx_memoryview_obj *memview_obj = NULL;
+    __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0);
+    for (i = 0; i < ndim; i++) {
+        if (unlikely(from_mvs->suboffsets[i] >= 0)) {
+            PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with "
+                                           "indirect dimensions (axis %d)", i);
+            goto fail;
+        }
+    }
+    shape_tuple = PyTuple_New(ndim);
+    if (unlikely(!shape_tuple)) {
+        goto fail;
+    }
+    __Pyx_GOTREF(shape_tuple);
+    for(i = 0; i < ndim; i++) {
+        temp_int = PyInt_FromSsize_t(from_mvs->shape[i]);
+        if(unlikely(!temp_int)) {
+            goto fail;
+        } else {
+            PyTuple_SET_ITEM(shape_tuple, i, temp_int);
+            temp_int = NULL;
+        }
+    }
+    array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL);
+    if (unlikely(!array_obj)) {
+        goto fail;
+    }
+    __Pyx_GOTREF(array_obj);
+    memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
+                                    (PyObject *) array_obj, contig_flag,
+                                    dtype_is_object,
+                                    from_mvs->memview->typeinfo);
+    if (unlikely(!memview_obj))
+        goto fail;
+    if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0))
+        goto fail;
+    if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim,
+                                                dtype_is_object) < 0))
+        goto fail;
+    goto no_fail;
+fail:
+    __Pyx_XDECREF(new_mvs.memview);
+    new_mvs.memview = NULL;
+    new_mvs.data = NULL;
+no_fail:
+    __Pyx_XDECREF(shape_tuple);
+    __Pyx_XDECREF(temp_int);
+    __Pyx_XDECREF(array_obj);
+    __Pyx_RefNannyFinishContext();
+    return new_mvs;
+}
+
+/* TypeInfoToFormat */
+static struct __pyx_typeinfo_string __Pyx_TypeInfoToFormat(__Pyx_TypeInfo *type) {
+    struct __pyx_typeinfo_string result = { {0} };
+    char *buf = (char *) result.string;
+    size_t size = type->size;
+    switch (type->typegroup) {
+        case 'H':
+            *buf = 'c';
+            break;
+        case 'I':
+        case 'U':
+            if (size == 1)
+                *buf = (type->is_unsigned) ? 'B' : 'b';
+            else if (size == 2)
+                *buf = (type->is_unsigned) ? 'H' : 'h';
+            else if (size == 4)
+                *buf = (type->is_unsigned) ? 'I' : 'i';
+            else if (size == 8)
+                *buf = (type->is_unsigned) ? 'Q' : 'q';
+            break;
+        case 'P':
+            *buf = 'P';
+            break;
+        case 'C':
+         {
+            __Pyx_TypeInfo complex_type = *type;
+            complex_type.typegroup = 'R';
+            complex_type.size /= 2;
+            *buf++ = 'Z';
+            *buf = __Pyx_TypeInfoToFormat(&complex_type).string[0];
+            break;
+         }
+        case 'R':
+            if (size == 4)
+                *buf = 'f';
+            else if (size == 8)
+                *buf = 'd';
+            else
+                *buf = 'g';
+            break;
+    }
+    return result;
+}
+
+/* CIntFromPy */
+static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
+    const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
+    const int is_unsigned = neg_one > const_zero;
+#if PY_MAJOR_VERSION < 3
+    if (likely(PyInt_Check(x))) {
+        if (sizeof(int) < sizeof(long)) {
+            __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
+        } else {
+            long val = PyInt_AS_LONG(x);
+            if (is_unsigned && unlikely(val < 0)) {
+                goto raise_neg_overflow;
+            }
+            return (int) val;
+        }
+    } else
+#endif
+    if (likely(PyLong_Check(x))) {
+        if (is_unsigned) {
+#if CYTHON_USE_PYLONG_INTERNALS
+            const digit* digits = ((PyLongObject*)x)->ob_digit;
+            switch (Py_SIZE(x)) {
+                case  0: return (int) 0;
+                case  1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
+                case 2:
+                    if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
+                            return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
+                        }
+                    }
+                    break;
+                case 3:
+                    if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
+                            return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
+                        }
+                    }
+                    break;
+                case 4:
+                    if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
+                            return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
+                        }
+                    }
+                    break;
+            }
+#endif
+#if CYTHON_COMPILING_IN_CPYTHON
+            if (unlikely(Py_SIZE(x) < 0)) {
+                goto raise_neg_overflow;
+            }
+#else
+            {
+                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
+                if (unlikely(result < 0))
+                    return (int) -1;
+                if (unlikely(result == 1))
+                    goto raise_neg_overflow;
+            }
+#endif
+            if (sizeof(int) <= sizeof(unsigned long)) {
+                __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
+#ifdef HAVE_LONG_LONG
+            } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
+                __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
+#endif
+            }
+        } else {
+#if CYTHON_USE_PYLONG_INTERNALS
+            const digit* digits = ((PyLongObject*)x)->ob_digit;
+            switch (Py_SIZE(x)) {
+                case  0: return (int) 0;
+                case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
+                case  1: __PYX_VERIFY_RETURN_INT(int,  digit, +digits[0])
+                case -2:
+                    if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
+                            return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
+                        }
+                    }
+                    break;
+                case 2:
+                    if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
+                            return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
+                        }
+                    }
+                    break;
+                case -3:
+                    if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
+                            return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
+                        }
+                    }
+                    break;
+                case 3:
+                    if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
+                            return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
+                        }
+                    }
+                    break;
+                case -4:
+                    if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
+                            return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
+                        }
+                    }
+                    break;
+                case 4:
+                    if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
+                            return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
+                        }
+                    }
+                    break;
+            }
+#endif
+            if (sizeof(int) <= sizeof(long)) {
+                __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
+#ifdef HAVE_LONG_LONG
+            } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
+                __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
+#endif
+            }
+        }
+        {
+#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
+            PyErr_SetString(PyExc_RuntimeError,
+                            "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
+#else
+            int val;
+            PyObject *v = __Pyx_PyNumber_IntOrLong(x);
+ #if PY_MAJOR_VERSION < 3
+            if (likely(v) && !PyLong_Check(v)) {
+                PyObject *tmp = v;
+                v = PyNumber_Long(tmp);
+                Py_DECREF(tmp);
+            }
+ #endif
+            if (likely(v)) {
+                int one = 1; int is_little = (int)*(unsigned char *)&one;
+                unsigned char *bytes = (unsigned char *)&val;
+                int ret = _PyLong_AsByteArray((PyLongObject *)v,
+                                              bytes, sizeof(val),
+                                              is_little, !is_unsigned);
+                Py_DECREF(v);
+                if (likely(!ret))
+                    return val;
+            }
+#endif
+            return (int) -1;
+        }
+    } else {
+        int val;
+        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
+        if (!tmp) return (int) -1;
+        val = __Pyx_PyInt_As_int(tmp);
+        Py_DECREF(tmp);
+        return val;
+    }
+raise_overflow:
+    PyErr_SetString(PyExc_OverflowError,
+        "value too large to convert to int");
+    return (int) -1;
+raise_neg_overflow:
+    PyErr_SetString(PyExc_OverflowError,
+        "can't convert negative value to int");
+    return (int) -1;
+}
+
+/* CIntFromPy */
+static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
+    const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
+    const int is_unsigned = neg_one > const_zero;
+#if PY_MAJOR_VERSION < 3
+    if (likely(PyInt_Check(x))) {
+        if (sizeof(long) < sizeof(long)) {
+            __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
+        } else {
+            long val = PyInt_AS_LONG(x);
+            if (is_unsigned && unlikely(val < 0)) {
+                goto raise_neg_overflow;
+            }
+            return (long) val;
+        }
+    } else
+#endif
+    if (likely(PyLong_Check(x))) {
+        if (is_unsigned) {
+#if CYTHON_USE_PYLONG_INTERNALS
+            const digit* digits = ((PyLongObject*)x)->ob_digit;
+            switch (Py_SIZE(x)) {
+                case  0: return (long) 0;
+                case  1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
+                case 2:
+                    if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
+                            return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
+                        }
+                    }
+                    break;
+                case 3:
+                    if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
+                            return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
+                        }
+                    }
+                    break;
+                case 4:
+                    if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
+                            return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
+                        }
+                    }
+                    break;
+            }
+#endif
+#if CYTHON_COMPILING_IN_CPYTHON
+            if (unlikely(Py_SIZE(x) < 0)) {
+                goto raise_neg_overflow;
+            }
+#else
+            {
+                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
+                if (unlikely(result < 0))
+                    return (long) -1;
+                if (unlikely(result == 1))
+                    goto raise_neg_overflow;
+            }
+#endif
+            if (sizeof(long) <= sizeof(unsigned long)) {
+                __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
+#ifdef HAVE_LONG_LONG
+            } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
+                __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
+#endif
+            }
+        } else {
+#if CYTHON_USE_PYLONG_INTERNALS
+            const digit* digits = ((PyLongObject*)x)->ob_digit;
+            switch (Py_SIZE(x)) {
+                case  0: return (long) 0;
+                case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
+                case  1: __PYX_VERIFY_RETURN_INT(long,  digit, +digits[0])
+                case -2:
+                    if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
+                            return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
+                        }
+                    }
+                    break;
+                case 2:
+                    if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
+                            return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
+                        }
+                    }
+                    break;
+                case -3:
+                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
+                            return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
+                        }
+                    }
+                    break;
+                case 3:
+                    if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
+                            return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
+                        }
+                    }
+                    break;
+                case -4:
+                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
+                            return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
+                        }
+                    }
+                    break;
+                case 4:
+                    if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
+                            return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
+                        }
+                    }
+                    break;
+            }
+#endif
+            if (sizeof(long) <= sizeof(long)) {
+                __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
+#ifdef HAVE_LONG_LONG
+            } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
+                __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
+#endif
+            }
+        }
+        {
+#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
+            PyErr_SetString(PyExc_RuntimeError,
+                            "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
+#else
+            long val;
+            PyObject *v = __Pyx_PyNumber_IntOrLong(x);
+ #if PY_MAJOR_VERSION < 3
+            if (likely(v) && !PyLong_Check(v)) {
+                PyObject *tmp = v;
+                v = PyNumber_Long(tmp);
+                Py_DECREF(tmp);
+            }
+ #endif
+            if (likely(v)) {
+                int one = 1; int is_little = (int)*(unsigned char *)&one;
+                unsigned char *bytes = (unsigned char *)&val;
+                int ret = _PyLong_AsByteArray((PyLongObject *)v,
+                                              bytes, sizeof(val),
+                                              is_little, !is_unsigned);
+                Py_DECREF(v);
+                if (likely(!ret))
+                    return val;
+            }
+#endif
+            return (long) -1;
+        }
+    } else {
+        long val;
+        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
+        if (!tmp) return (long) -1;
+        val = __Pyx_PyInt_As_long(tmp);
+        Py_DECREF(tmp);
+        return val;
+    }
+raise_overflow:
+    PyErr_SetString(PyExc_OverflowError,
+        "value too large to convert to long");
+    return (long) -1;
+raise_neg_overflow:
+    PyErr_SetString(PyExc_OverflowError,
+        "can't convert negative value to long");
+    return (long) -1;
+}
+
+/* CIntToPy */
+static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
+    const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
+    const int is_unsigned = neg_one > const_zero;
+    if (is_unsigned) {
+        if (sizeof(long) < sizeof(long)) {
+            return PyInt_FromLong((long) value);
+        } else if (sizeof(long) <= sizeof(unsigned long)) {
+            return PyLong_FromUnsignedLong((unsigned long) value);
+#ifdef HAVE_LONG_LONG
+        } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
+            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
+#endif
+        }
+    } else {
+        if (sizeof(long) <= sizeof(long)) {
+            return PyInt_FromLong((long) value);
+#ifdef HAVE_LONG_LONG
+        } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
+            return PyLong_FromLongLong((PY_LONG_LONG) value);
+#endif
+        }
+    }
+    {
+        int one = 1; int little = (int)*(unsigned char *)&one;
+        unsigned char *bytes = (unsigned char *)&value;
+        return _PyLong_FromByteArray(bytes, sizeof(long),
+                                     little, !is_unsigned);
+    }
+}
+
+/* CIntFromPy */
+static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {
+    const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0;
+    const int is_unsigned = neg_one > const_zero;
+#if PY_MAJOR_VERSION < 3
+    if (likely(PyInt_Check(x))) {
+        if (sizeof(char) < sizeof(long)) {
+            __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x))
+        } else {
+            long val = PyInt_AS_LONG(x);
+            if (is_unsigned && unlikely(val < 0)) {
+                goto raise_neg_overflow;
+            }
+            return (char) val;
+        }
+    } else
+#endif
+    if (likely(PyLong_Check(x))) {
+        if (is_unsigned) {
+#if CYTHON_USE_PYLONG_INTERNALS
+            const digit* digits = ((PyLongObject*)x)->ob_digit;
+            switch (Py_SIZE(x)) {
+                case  0: return (char) 0;
+                case  1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0])
+                case 2:
+                    if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) {
+                            return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
+                        }
+                    }
+                    break;
+                case 3:
+                    if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) {
+                            return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
+                        }
+                    }
+                    break;
+                case 4:
+                    if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) {
+                            return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
+                        }
+                    }
+                    break;
+            }
+#endif
+#if CYTHON_COMPILING_IN_CPYTHON
+            if (unlikely(Py_SIZE(x) < 0)) {
+                goto raise_neg_overflow;
+            }
+#else
+            {
+                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
+                if (unlikely(result < 0))
+                    return (char) -1;
+                if (unlikely(result == 1))
+                    goto raise_neg_overflow;
+            }
+#endif
+            if (sizeof(char) <= sizeof(unsigned long)) {
+                __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x))
+#ifdef HAVE_LONG_LONG
+            } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {
+                __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
+#endif
+            }
+        } else {
+#if CYTHON_USE_PYLONG_INTERNALS
+            const digit* digits = ((PyLongObject*)x)->ob_digit;
+            switch (Py_SIZE(x)) {
+                case  0: return (char) 0;
+                case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0]))
+                case  1: __PYX_VERIFY_RETURN_INT(char,  digit, +digits[0])
+                case -2:
+                    if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
+                            return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
+                        }
+                    }
+                    break;
+                case 2:
+                    if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
+                            return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
+                        }
+                    }
+                    break;
+                case -3:
+                    if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
+                            return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
+                        }
+                    }
+                    break;
+                case 3:
+                    if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
+                            return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
+                        }
+                    }
+                    break;
+                case -4:
+                    if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
+                            return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
+                        }
+                    }
+                    break;
+                case 4:
+                    if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
+                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
+                            __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
+                        } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
+                            return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
+                        }
+                    }
+                    break;
+            }
+#endif
+            if (sizeof(char) <= sizeof(long)) {
+                __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x))
+#ifdef HAVE_LONG_LONG
+            } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {
+                __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))
+#endif
+            }
+        }
+        {
+#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
+            PyErr_SetString(PyExc_RuntimeError,
+                            "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
+#else
+            char val;
+            PyObject *v = __Pyx_PyNumber_IntOrLong(x);
+ #if PY_MAJOR_VERSION < 3
+            if (likely(v) && !PyLong_Check(v)) {
+                PyObject *tmp = v;
+                v = PyNumber_Long(tmp);
+                Py_DECREF(tmp);
+            }
+ #endif
+            if (likely(v)) {
+                int one = 1; int is_little = (int)*(unsigned char *)&one;
+                unsigned char *bytes = (unsigned char *)&val;
+                int ret = _PyLong_AsByteArray((PyLongObject *)v,
+                                              bytes, sizeof(val),
+                                              is_little, !is_unsigned);
+                Py_DECREF(v);
+                if (likely(!ret))
+                    return val;
+            }
+#endif
+            return (char) -1;
+        }
+    } else {
+        char val;
+        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
+        if (!tmp) return (char) -1;
+        val = __Pyx_PyInt_As_char(tmp);
+        Py_DECREF(tmp);
+        return val;
+    }
+raise_overflow:
+    PyErr_SetString(PyExc_OverflowError,
+        "value too large to convert to char");
+    return (char) -1;
+raise_neg_overflow:
+    PyErr_SetString(PyExc_OverflowError,
+        "can't convert negative value to char");
+    return (char) -1;
+}
+
+/* IsLittleEndian */
+static CYTHON_INLINE int __Pyx_Is_Little_Endian(void)
+{
+  union {
+    uint32_t u32;
+    uint8_t u8[4];
+  } S;
+  S.u32 = 0x01020304;
+  return S.u8[0] == 4;
+}
+
+/* BufferFormatCheck */
+static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
+                              __Pyx_BufFmt_StackElem* stack,
+                              __Pyx_TypeInfo* type) {
+  stack[0].field = &ctx->root;
+  stack[0].parent_offset = 0;
+  ctx->root.type = type;
+  ctx->root.name = "buffer dtype";
+  ctx->root.offset = 0;
+  ctx->head = stack;
+  ctx->head->field = &ctx->root;
+  ctx->fmt_offset = 0;
+  ctx->head->parent_offset = 0;
+  ctx->new_packmode = '@';
+  ctx->enc_packmode = '@';
+  ctx->new_count = 1;
+  ctx->enc_count = 0;
+  ctx->enc_type = 0;
+  ctx->is_complex = 0;
+  ctx->is_valid_array = 0;
+  ctx->struct_alignment = 0;
+  while (type->typegroup == 'S') {
+    ++ctx->head;
+    ctx->head->field = type->fields;
+    ctx->head->parent_offset = 0;
+    type = type->fields->type;
+  }
+}
+static int __Pyx_BufFmt_ParseNumber(const char** ts) {
+    int count;
+    const char* t = *ts;
+    if (*t < '0' || *t > '9') {
+      return -1;
+    } else {
+        count = *t++ - '0';
+        while (*t >= '0' && *t <= '9') {
+            count *= 10;
+            count += *t++ - '0';
+        }
+    }
+    *ts = t;
+    return count;
+}
+static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
+    int number = __Pyx_BufFmt_ParseNumber(ts);
+    if (number == -1)
+        PyErr_Format(PyExc_ValueError,\
+                     "Does not understand character buffer dtype format string ('%c')", **ts);
+    return number;
+}
+static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
+  PyErr_Format(PyExc_ValueError,
+               "Unexpected format string character: '%c'", ch);
+}
+static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
+  switch (ch) {
+    case '?': return "'bool'";
+    case 'c': return "'char'";
+    case 'b': return "'signed char'";
+    case 'B': return "'unsigned char'";
+    case 'h': return "'short'";
+    case 'H': return "'unsigned short'";
+    case 'i': return "'int'";
+    case 'I': return "'unsigned int'";
+    case 'l': return "'long'";
+    case 'L': return "'unsigned long'";
+    case 'q': return "'long long'";
+    case 'Q': return "'unsigned long long'";
+    case 'f': return (is_complex ? "'complex float'" : "'float'");
+    case 'd': return (is_complex ? "'complex double'" : "'double'");
+    case 'g': return (is_complex ? "'complex long double'" : "'long double'");
+    case 'T': return "a struct";
+    case 'O': return "Python object";
+    case 'P': return "a pointer";
+    case 's': case 'p': return "a string";
+    case 0: return "end";
+    default: return "unparseable format string";
+  }
+}
+static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
+  switch (ch) {
+    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
+    case 'h': case 'H': return 2;
+    case 'i': case 'I': case 'l': case 'L': return 4;
+    case 'q': case 'Q': return 8;
+    case 'f': return (is_complex ? 8 : 4);
+    case 'd': return (is_complex ? 16 : 8);
+    case 'g': {
+      PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
+      return 0;
+    }
+    case 'O': case 'P': return sizeof(void*);
+    default:
+      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
+      return 0;
+    }
+}
+static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
+  switch (ch) {
+    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
+    case 'h': case 'H': return sizeof(short);
+    case 'i': case 'I': return sizeof(int);
+    case 'l': case 'L': return sizeof(long);
+    #ifdef HAVE_LONG_LONG
+    case 'q': case 'Q': return sizeof(PY_LONG_LONG);
+    #endif
+    case 'f': return sizeof(float) * (is_complex ? 2 : 1);
+    case 'd': return sizeof(double) * (is_complex ? 2 : 1);
+    case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
+    case 'O': case 'P': return sizeof(void*);
+    default: {
+      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
+      return 0;
+    }
+  }
+}
+typedef struct { char c; short x; } __Pyx_st_short;
+typedef struct { char c; int x; } __Pyx_st_int;
+typedef struct { char c; long x; } __Pyx_st_long;
+typedef struct { char c; float x; } __Pyx_st_float;
+typedef struct { char c; double x; } __Pyx_st_double;
+typedef struct { char c; long double x; } __Pyx_st_longdouble;
+typedef struct { char c; void *x; } __Pyx_st_void_p;
+#ifdef HAVE_LONG_LONG
+typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
+#endif
+static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
+  switch (ch) {
+    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
+    case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
+    case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
+    case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
+#ifdef HAVE_LONG_LONG
+    case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
+#endif
+    case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
+    case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
+    case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
+    case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
+    default:
+      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
+      return 0;
+    }
+}
+/* These are for computing the padding at the end of the struct to align
+   on the first member of the struct. This will probably the same as above,
+   but we don't have any guarantees.
+ */
+typedef struct { short x; char c; } __Pyx_pad_short;
+typedef struct { int x; char c; } __Pyx_pad_int;
+typedef struct { long x; char c; } __Pyx_pad_long;
+typedef struct { float x; char c; } __Pyx_pad_float;
+typedef struct { double x; char c; } __Pyx_pad_double;
+typedef struct { long double x; char c; } __Pyx_pad_longdouble;
+typedef struct { void *x; char c; } __Pyx_pad_void_p;
+#ifdef HAVE_LONG_LONG
+typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
+#endif
+static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
+  switch (ch) {
+    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
+    case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
+    case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
+    case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
+#ifdef HAVE_LONG_LONG
+    case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
+#endif
+    case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
+    case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
+    case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
+    case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
+    default:
+      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
+      return 0;
+    }
+}
+static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
+  switch (ch) {
+    case 'c':
+        return 'H';
+    case 'b': case 'h': case 'i':
+    case 'l': case 'q': case 's': case 'p':
+        return 'I';
+    case '?': case 'B': case 'H': case 'I': case 'L': case 'Q':
+        return 'U';
+    case 'f': case 'd': case 'g':
+        return (is_complex ? 'C' : 'R');
+    case 'O':
+        return 'O';
+    case 'P':
+        return 'P';
+    default: {
+      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
+      return 0;
+    }
+  }
+}
+static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
+  if (ctx->head == NULL || ctx->head->field == &ctx->root) {
+    const char* expected;
+    const char* quote;
+    if (ctx->head == NULL) {
+      expected = "end";
+      quote = "";
+    } else {
+      expected = ctx->head->field->type->name;
+      quote = "'";
+    }
+    PyErr_Format(PyExc_ValueError,
+                 "Buffer dtype mismatch, expected %s%s%s but got %s",
+                 quote, expected, quote,
+                 __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
+  } else {
+    __Pyx_StructField* field = ctx->head->field;
+    __Pyx_StructField* parent = (ctx->head - 1)->field;
+    PyErr_Format(PyExc_ValueError,
+                 "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
+                 field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
+                 parent->type->name, field->name);
+  }
+}
+static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
+  char group;
+  size_t size, offset, arraysize = 1;
+  if (ctx->enc_type == 0) return 0;
+  if (ctx->head->field->type->arraysize[0]) {
+    int i, ndim = 0;
+    if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
+        ctx->is_valid_array = ctx->head->field->type->ndim == 1;
+        ndim = 1;
+        if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
+            PyErr_Format(PyExc_ValueError,
+                         "Expected a dimension of size %zu, got %zu",
+                         ctx->head->field->type->arraysize[0], ctx->enc_count);
+            return -1;
+        }
+    }
+    if (!ctx->is_valid_array) {
+      PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
+                   ctx->head->field->type->ndim, ndim);
+      return -1;
+    }
+    for (i = 0; i < ctx->head->field->type->ndim; i++) {
+      arraysize *= ctx->head->field->type->arraysize[i];
+    }
+    ctx->is_valid_array = 0;
+    ctx->enc_count = 1;
+  }
+  group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
+  do {
+    __Pyx_StructField* field = ctx->head->field;
+    __Pyx_TypeInfo* type = field->type;
+    if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
+      size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
+    } else {
+      size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
+    }
+    if (ctx->enc_packmode == '@') {
+      size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
+      size_t align_mod_offset;
+      if (align_at == 0) return -1;
+      align_mod_offset = ctx->fmt_offset % align_at;
+      if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
+      if (ctx->struct_alignment == 0)
+          ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
+                                                                 ctx->is_complex);
+    }
+    if (type->size != size || type->typegroup != group) {
+      if (type->typegroup == 'C' && type->fields != NULL) {
+        size_t parent_offset = ctx->head->parent_offset + field->offset;
+        ++ctx->head;
+        ctx->head->field = type->fields;
+        ctx->head->parent_offset = parent_offset;
+        continue;
+      }
+      if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
+      } else {
+          __Pyx_BufFmt_RaiseExpected(ctx);
+          return -1;
+      }
+    }
+    offset = ctx->head->parent_offset + field->offset;
+    if (ctx->fmt_offset != offset) {
+      PyErr_Format(PyExc_ValueError,
+                   "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
+                   (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
+      return -1;
+    }
+    ctx->fmt_offset += size;
+    if (arraysize)
+      ctx->fmt_offset += (arraysize - 1) * size;
+    --ctx->enc_count;
+    while (1) {
+      if (field == &ctx->root) {
+        ctx->head = NULL;
+        if (ctx->enc_count != 0) {
+          __Pyx_BufFmt_RaiseExpected(ctx);
+          return -1;
+        }
+        break;
+      }
+      ctx->head->field = ++field;
+      if (field->type == NULL) {
+        --ctx->head;
+        field = ctx->head->field;
+        continue;
+      } else if (field->type->typegroup == 'S') {
+        size_t parent_offset = ctx->head->parent_offset + field->offset;
+        if (field->type->fields->type == NULL) continue;
+        field = field->type->fields;
+        ++ctx->head;
+        ctx->head->field = field;
+        ctx->head->parent_offset = parent_offset;
+        break;
+      } else {
+        break;
+      }
+    }
+  } while (ctx->enc_count);
+  ctx->enc_type = 0;
+  ctx->is_complex = 0;
+  return 0;
+}
+static PyObject *
+__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
+{
+    const char *ts = *tsp;
+    int i = 0, number, ndim;
+    ++ts;
+    if (ctx->new_count != 1) {
+        PyErr_SetString(PyExc_ValueError,
+                        "Cannot handle repeated arrays in format string");
+        return NULL;
+    }
+    if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
+    ndim = ctx->head->field->type->ndim;
+    while (*ts && *ts != ')') {
+        switch (*ts) {
+            case ' ': case '\f': case '\r': case '\n': case '\t': case '\v':  continue;
+            default:  break;
+        }
+        number = __Pyx_BufFmt_ExpectNumber(&ts);
+        if (number == -1) return NULL;
+        if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
+            return PyErr_Format(PyExc_ValueError,
+                        "Expected a dimension of size %zu, got %d",
+                        ctx->head->field->type->arraysize[i], number);
+        if (*ts != ',' && *ts != ')')
+            return PyErr_Format(PyExc_ValueError,
+                                "Expected a comma in format string, got '%c'", *ts);
+        if (*ts == ',') ts++;
+        i++;
+    }
+    if (i != ndim)
+        return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
+                            ctx->head->field->type->ndim, i);
+    if (!*ts) {
+        PyErr_SetString(PyExc_ValueError,
+                        "Unexpected end of format string, expected ')'");
+        return NULL;
+    }
+    ctx->is_valid_array = 1;
+    ctx->new_count = 1;
+    *tsp = ++ts;
+    return Py_None;
+}
+static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
+  int got_Z = 0;
+  while (1) {
+    switch(*ts) {
+      case 0:
+        if (ctx->enc_type != 0 && ctx->head == NULL) {
+          __Pyx_BufFmt_RaiseExpected(ctx);
+          return NULL;
+        }
+        if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
+        if (ctx->head != NULL) {
+          __Pyx_BufFmt_RaiseExpected(ctx);
+          return NULL;
+        }
+        return ts;
+      case ' ':
+      case '\r':
+      case '\n':
+        ++ts;
+        break;
+      case '<':
+        if (!__Pyx_Is_Little_Endian()) {
+          PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
+          return NULL;
+        }
+        ctx->new_packmode = '=';
+        ++ts;
+        break;
+      case '>':
+      case '!':
+        if (__Pyx_Is_Little_Endian()) {
+          PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
+          return NULL;
+        }
+        ctx->new_packmode = '=';
+        ++ts;
+        break;
+      case '=':
+      case '@':
+      case '^':
+        ctx->new_packmode = *ts++;
+        break;
+      case 'T':
+        {
+          const char* ts_after_sub;
+          size_t i, struct_count = ctx->new_count;
+          size_t struct_alignment = ctx->struct_alignment;
+          ctx->new_count = 1;
+          ++ts;
+          if (*ts != '{') {
+            PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
+            return NULL;
+          }
+          if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
+          ctx->enc_type = 0;
+          ctx->enc_count = 0;
+          ctx->struct_alignment = 0;
+          ++ts;
+          ts_after_sub = ts;
+          for (i = 0; i != struct_count; ++i) {
+            ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
+            if (!ts_after_sub) return NULL;
+          }
+          ts = ts_after_sub;
+          if (struct_alignment) ctx->struct_alignment = struct_alignment;
+        }
+        break;
+      case '}':
+        {
+          size_t alignment = ctx->struct_alignment;
+          ++ts;
+          if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
+          ctx->enc_type = 0;
+          if (alignment && ctx->fmt_offset % alignment) {
+            ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
+          }
+        }
+        return ts;
+      case 'x':
+        if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
+        ctx->fmt_offset += ctx->new_count;
+        ctx->new_count = 1;
+        ctx->enc_count = 0;
+        ctx->enc_type = 0;
+        ctx->enc_packmode = ctx->new_packmode;
+        ++ts;
+        break;
+      case 'Z':
+        got_Z = 1;
+        ++ts;
+        if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
+          __Pyx_BufFmt_RaiseUnexpectedChar('Z');
+          return NULL;
+        }
+        CYTHON_FALLTHROUGH;
+      case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
+      case 'l': case 'L': case 'q': case 'Q':
+      case 'f': case 'd': case 'g':
+      case 'O': case 'p':
+        if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) &&
+            (ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) {
+          ctx->enc_count += ctx->new_count;
+          ctx->new_count = 1;
+          got_Z = 0;
+          ++ts;
+          break;
+        }
+        CYTHON_FALLTHROUGH;
+      case 's':
+        if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
+        ctx->enc_count = ctx->new_count;
+        ctx->enc_packmode = ctx->new_packmode;
+        ctx->enc_type = *ts;
+        ctx->is_complex = got_Z;
+        ++ts;
+        ctx->new_count = 1;
+        got_Z = 0;
+        break;
+      case ':':
+        ++ts;
+        while(*ts != ':') ++ts;
+        ++ts;
+        break;
+      case '(':
+        if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
+        break;
+      default:
+        {
+          int number = __Pyx_BufFmt_ExpectNumber(&ts);
+          if (number == -1) return NULL;
+          ctx->new_count = (size_t)number;
+        }
+    }
+  }
+}
+
+/* TypeInfoCompare */
+  static int
+__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b)
+{
+    int i;
+    if (!a || !b)
+        return 0;
+    if (a == b)
+        return 1;
+    if (a->size != b->size || a->typegroup != b->typegroup ||
+            a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) {
+        if (a->typegroup == 'H' || b->typegroup == 'H') {
+            return a->size == b->size;
+        } else {
+            return 0;
+        }
+    }
+    if (a->ndim) {
+        for (i = 0; i < a->ndim; i++)
+            if (a->arraysize[i] != b->arraysize[i])
+                return 0;
+    }
+    if (a->typegroup == 'S') {
+        if (a->flags != b->flags)
+            return 0;
+        if (a->fields || b->fields) {
+            if (!(a->fields && b->fields))
+                return 0;
+            for (i = 0; a->fields[i].type && b->fields[i].type; i++) {
+                __Pyx_StructField *field_a = a->fields + i;
+                __Pyx_StructField *field_b = b->fields + i;
+                if (field_a->offset != field_b->offset ||
+                    !__pyx_typeinfo_cmp(field_a->type, field_b->type))
+                    return 0;
+            }
+            return !a->fields[i].type && !b->fields[i].type;
+        }
+    }
+    return 1;
+}
+
+/* MemviewSliceValidateAndInit */
+  static int
+__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec)
+{
+    if (buf->shape[dim] <= 1)
+        return 1;
+    if (buf->strides) {
+        if (spec & __Pyx_MEMVIEW_CONTIG) {
+            if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) {
+                if (unlikely(buf->strides[dim] != sizeof(void *))) {
+                    PyErr_Format(PyExc_ValueError,
+                                 "Buffer is not indirectly contiguous "
+                                 "in dimension %d.", dim);
+                    goto fail;
+                }
+            } else if (unlikely(buf->strides[dim] != buf->itemsize)) {
+                PyErr_SetString(PyExc_ValueError,
+                                "Buffer and memoryview are not contiguous "
+                                "in the same dimension.");
+                goto fail;
+            }
+        }
+        if (spec & __Pyx_MEMVIEW_FOLLOW) {
+            Py_ssize_t stride = buf->strides[dim];
+            if (stride < 0)
+                stride = -stride;
+            if (unlikely(stride < buf->itemsize)) {
+                PyErr_SetString(PyExc_ValueError,
+                                "Buffer and memoryview are not contiguous "
+                                "in the same dimension.");
+                goto fail;
+            }
+        }
+    } else {
+        if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) {
+            PyErr_Format(PyExc_ValueError,
+                         "C-contiguous buffer is not contiguous in "
+                         "dimension %d", dim);
+            goto fail;
+        } else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) {
+            PyErr_Format(PyExc_ValueError,
+                         "C-contiguous buffer is not indirect in "
+                         "dimension %d", dim);
+            goto fail;
+        } else if (unlikely(buf->suboffsets)) {
+            PyErr_SetString(PyExc_ValueError,
+                            "Buffer exposes suboffsets but no strides");
+            goto fail;
+        }
+    }
+    return 1;
+fail:
+    return 0;
+}
+static int
+__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec)
+{
+    if (spec & __Pyx_MEMVIEW_DIRECT) {
+        if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) {
+            PyErr_Format(PyExc_ValueError,
+                         "Buffer not compatible with direct access "
+                         "in dimension %d.", dim);
+            goto fail;
+        }
+    }
+    if (spec & __Pyx_MEMVIEW_PTR) {
+        if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) {
+            PyErr_Format(PyExc_ValueError,
+                         "Buffer is not indirectly accessible "
+                         "in dimension %d.", dim);
+            goto fail;
+        }
+    }
+    return 1;
+fail:
+    return 0;
+}
+static int
+__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag)
+{
+    int i;
+    if (c_or_f_flag & __Pyx_IS_F_CONTIG) {
+        Py_ssize_t stride = 1;
+        for (i = 0; i < ndim; i++) {
+            if (unlikely(stride * buf->itemsize != buf->strides[i]  &&  buf->shape[i] > 1)) {
+                PyErr_SetString(PyExc_ValueError,
+                    "Buffer not fortran contiguous.");
+                goto fail;
+            }
+            stride = stride * buf->shape[i];
+        }
+    } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) {
+        Py_ssize_t stride = 1;
+        for (i = ndim - 1; i >- 1; i--) {
+            if (unlikely(stride * buf->itemsize != buf->strides[i]  &&  buf->shape[i] > 1)) {
+                PyErr_SetString(PyExc_ValueError,
+                    "Buffer not C contiguous.");
+                goto fail;
+            }
+            stride = stride * buf->shape[i];
+        }
+    }
+    return 1;
+fail:
+    return 0;
+}
+static int __Pyx_ValidateAndInit_memviewslice(
+                int *axes_specs,
+                int c_or_f_flag,
+                int buf_flags,
+                int ndim,
+                __Pyx_TypeInfo *dtype,
+                __Pyx_BufFmt_StackElem stack[],
+                __Pyx_memviewslice *memviewslice,
+                PyObject *original_obj)
+{
+    struct __pyx_memoryview_obj *memview, *new_memview;
+    __Pyx_RefNannyDeclarations
+    Py_buffer *buf;
+    int i, spec = 0, retval = -1;
+    __Pyx_BufFmt_Context ctx;
+    int from_memoryview = __pyx_memoryview_check(original_obj);
+    __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0);
+    if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *)
+                                                            original_obj)->typeinfo)) {
+        memview = (struct __pyx_memoryview_obj *) original_obj;
+        new_memview = NULL;
+    } else {
+        memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
+                                            original_obj, buf_flags, 0, dtype);
+        new_memview = memview;
+        if (unlikely(!memview))
+            goto fail;
+    }
+    buf = &memview->view;
+    if (unlikely(buf->ndim != ndim)) {
+        PyErr_Format(PyExc_ValueError,
+                "Buffer has wrong number of dimensions (expected %d, got %d)",
+                ndim, buf->ndim);
+        goto fail;
+    }
+    if (new_memview) {
+        __Pyx_BufFmt_Init(&ctx, stack, dtype);
+        if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail;
+    }
+    if (unlikely((unsigned) buf->itemsize != dtype->size)) {
+        PyErr_Format(PyExc_ValueError,
+                     "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) "
+                     "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)",
+                     buf->itemsize,
+                     (buf->itemsize > 1) ? "s" : "",
+                     dtype->name,
+                     dtype->size,
+                     (dtype->size > 1) ? "s" : "");
+        goto fail;
+    }
+    if (buf->len > 0) {
+        for (i = 0; i < ndim; i++) {
+            spec = axes_specs[i];
+            if (unlikely(!__pyx_check_strides(buf, i, ndim, spec)))
+                goto fail;
+            if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec)))
+                goto fail;
+        }
+        if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)))
+            goto fail;
+    }
+    if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,
+                                         new_memview != NULL) == -1)) {
+        goto fail;
+    }
+    retval = 0;
+    goto no_fail;
+fail:
+    Py_XDECREF(new_memview);
+    retval = -1;
+no_fail:
+    __Pyx_RefNannyFinishContext();
+    return retval;
+}
+
+/* ObjectToMemviewSlice */
+  static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_nn___pyx_t_5numpy_float_t(PyObject *obj, int writable_flag) {
+    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
+    __Pyx_BufFmt_StackElem stack[1];
+    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
+    int retcode;
+    if (obj == Py_None) {
+        result.memview = (struct __pyx_memoryview_obj *) Py_None;
+        return result;
+    }
+    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
+                                                 (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 2,
+                                                 &__Pyx_TypeInfo_nn___pyx_t_5numpy_float_t, stack,
+                                                 &result, obj);
+    if (unlikely(retcode == -1))
+        goto __pyx_fail;
+    return result;
+__pyx_fail:
+    result.memview = NULL;
+    result.data = NULL;
+    return result;
+}
+
+/* ObjectToMemviewSlice */
+  static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_nn___pyx_t_5numpy_int_t(PyObject *obj, int writable_flag) {
+    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
+    __Pyx_BufFmt_StackElem stack[1];
+    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
+    int retcode;
+    if (obj == Py_None) {
+        result.memview = (struct __pyx_memoryview_obj *) Py_None;
+        return result;
+    }
+    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
+                                                 PyBUF_RECORDS_RO | writable_flag, 2,
+                                                 &__Pyx_TypeInfo_nn___pyx_t_5numpy_int_t, stack,
+                                                 &result, obj);
+    if (unlikely(retcode == -1))
+        goto __pyx_fail;
+    return result;
+__pyx_fail:
+    result.memview = NULL;
+    result.data = NULL;
+    return result;
+}
+
+/* ObjectToMemviewSlice */
+  static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_float_t(PyObject *obj, int writable_flag) {
+    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
+    __Pyx_BufFmt_StackElem stack[1];
+    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
+    int retcode;
+    if (obj == Py_None) {
+        result.memview = (struct __pyx_memoryview_obj *) Py_None;
+        return result;
+    }
+    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
+                                                 PyBUF_RECORDS_RO | writable_flag, 1,
+                                                 &__Pyx_TypeInfo_nn___pyx_t_5numpy_float_t, stack,
+                                                 &result, obj);
+    if (unlikely(retcode == -1))
+        goto __pyx_fail;
+    return result;
+__pyx_fail:
+    result.memview = NULL;
+    result.data = NULL;
+    return result;
+}
+
+/* ObjectToMemviewSlice */
+  static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_nn___pyx_t_5numpy_float_t(PyObject *obj, int writable_flag) {
+    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
+    __Pyx_BufFmt_StackElem stack[1];
+    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
+    int retcode;
+    if (obj == Py_None) {
+        result.memview = (struct __pyx_memoryview_obj *) Py_None;
+        return result;
+    }
+    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
+                                                 (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 3,
+                                                 &__Pyx_TypeInfo_nn___pyx_t_5numpy_float_t, stack,
+                                                 &result, obj);
+    if (unlikely(retcode == -1))
+        goto __pyx_fail;
+    return result;
+__pyx_fail:
+    result.memview = NULL;
+    result.data = NULL;
+    return result;
+}
+
+/* ObjectToMemviewSlice */
+  static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_nn___pyx_t_5numpy_float_t(PyObject *obj, int writable_flag) {
+    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
+    __Pyx_BufFmt_StackElem stack[1];
+    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
+    int retcode;
+    if (obj == Py_None) {
+        result.memview = (struct __pyx_memoryview_obj *) Py_None;
+        return result;
+    }
+    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
+                                                 PyBUF_RECORDS_RO | writable_flag, 2,
+                                                 &__Pyx_TypeInfo_nn___pyx_t_5numpy_float_t, stack,
+                                                 &result, obj);
+    if (unlikely(retcode == -1))
+        goto __pyx_fail;
+    return result;
+__pyx_fail:
+    result.memview = NULL;
+    result.data = NULL;
+    return result;
+}
+
+/* ObjectToMemviewSlice */
+  static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_int_t(PyObject *obj, int writable_flag) {
+    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
+    __Pyx_BufFmt_StackElem stack[1];
+    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
+    int retcode;
+    if (obj == Py_None) {
+        result.memview = (struct __pyx_memoryview_obj *) Py_None;
+        return result;
+    }
+    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
+                                                 PyBUF_RECORDS_RO | writable_flag, 1,
+                                                 &__Pyx_TypeInfo_nn___pyx_t_5numpy_int_t, stack,
+                                                 &result, obj);
+    if (unlikely(retcode == -1))
+        goto __pyx_fail;
+    return result;
+__pyx_fail:
+    result.memview = NULL;
+    result.data = NULL;
+    return result;
+}
+
+/* CheckBinaryVersion */
+  static int __Pyx_check_binary_version(void) {
+    char ctversion[4], rtversion[4];
+    PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
+    PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
+    if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
+        char message[200];
+        PyOS_snprintf(message, sizeof(message),
+                      "compiletime version %s of module '%.100s' "
+                      "does not match runtime version %s",
+                      ctversion, __Pyx_MODULE_NAME, rtversion);
+        return PyErr_WarnEx(NULL, message, 1);
+    }
+    return 0;
+}
+
+/* InitStrings */
+  static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
+    while (t->p) {
+        #if PY_MAJOR_VERSION < 3
+        if (t->is_unicode) {
+            *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
+        } else if (t->intern) {
+            *t->p = PyString_InternFromString(t->s);
+        } else {
+            *t->p = PyString_FromStringAndSize(t->s, t->n - 1);
+        }
+        #else
+        if (t->is_unicode | t->is_str) {
+            if (t->intern) {
+                *t->p = PyUnicode_InternFromString(t->s);
+            } else if (t->encoding) {
+                *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
+            } else {
+                *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
+            }
+        } else {
+            *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
+        }
+        #endif
+        if (!*t->p)
+            return -1;
+        if (PyObject_Hash(*t->p) == -1)
+            return -1;
+        ++t;
+    }
+    return 0;
+}
+
+static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
+    return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
+}
+static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
+    Py_ssize_t ignore;
+    return __Pyx_PyObject_AsStringAndSize(o, &ignore);
+}
+#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
+#if !CYTHON_PEP393_ENABLED
+static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
+    char* defenc_c;
+    PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
+    if (!defenc) return NULL;
+    defenc_c = PyBytes_AS_STRING(defenc);
+#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
+    {
+        char* end = defenc_c + PyBytes_GET_SIZE(defenc);
+        char* c;
+        for (c = defenc_c; c < end; c++) {
+            if ((unsigned char) (*c) >= 128) {
+                PyUnicode_AsASCIIString(o);
+                return NULL;
+            }
+        }
+    }
+#endif
+    *length = PyBytes_GET_SIZE(defenc);
+    return defenc_c;
+}
+#else
+static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
+    if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;
+#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
+    if (likely(PyUnicode_IS_ASCII(o))) {
+        *length = PyUnicode_GET_LENGTH(o);
+        return PyUnicode_AsUTF8(o);
+    } else {
+        PyUnicode_AsASCIIString(o);
+        return NULL;
+    }
+#else
+    return PyUnicode_AsUTF8AndSize(o, length);
+#endif
+}
+#endif
+#endif
+static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
+#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
+    if (
+#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
+            __Pyx_sys_getdefaultencoding_not_ascii &&
+#endif
+            PyUnicode_Check(o)) {
+        return __Pyx_PyUnicode_AsStringAndSize(o, length);
+    } else
+#endif
+#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
+    if (PyByteArray_Check(o)) {
+        *length = PyByteArray_GET_SIZE(o);
+        return PyByteArray_AS_STRING(o);
+    } else
+#endif
+    {
+        char* result;
+        int r = PyBytes_AsStringAndSize(o, &result, length);
+        if (unlikely(r < 0)) {
+            return NULL;
+        } else {
+            return result;
+        }
+    }
+}
+static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
+   int is_true = x == Py_True;
+   if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
+   else return PyObject_IsTrue(x);
+}
+static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {
+    int retval;
+    if (unlikely(!x)) return -1;
+    retval = __Pyx_PyObject_IsTrue(x);
+    Py_DECREF(x);
+    return retval;
+}
+static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
+#if PY_MAJOR_VERSION >= 3
+    if (PyLong_Check(result)) {
+        if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
+                "__int__ returned non-int (type %.200s).  "
+                "The ability to return an instance of a strict subclass of int "
+                "is deprecated, and may be removed in a future version of Python.",
+                Py_TYPE(result)->tp_name)) {
+            Py_DECREF(result);
+            return NULL;
+        }
+        return result;
+    }
+#endif
+    PyErr_Format(PyExc_TypeError,
+                 "__%.4s__ returned non-%.4s (type %.200s)",
+                 type_name, type_name, Py_TYPE(result)->tp_name);
+    Py_DECREF(result);
+    return NULL;
+}
+static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
+#if CYTHON_USE_TYPE_SLOTS
+  PyNumberMethods *m;
+#endif
+  const char *name = NULL;
+  PyObject *res = NULL;
+#if PY_MAJOR_VERSION < 3
+  if (likely(PyInt_Check(x) || PyLong_Check(x)))
+#else
+  if (likely(PyLong_Check(x)))
+#endif
+    return __Pyx_NewRef(x);
+#if CYTHON_USE_TYPE_SLOTS
+  m = Py_TYPE(x)->tp_as_number;
+  #if PY_MAJOR_VERSION < 3
+  if (m && m->nb_int) {
+    name = "int";
+    res = m->nb_int(x);
+  }
+  else if (m && m->nb_long) {
+    name = "long";
+    res = m->nb_long(x);
+  }
+  #else
+  if (likely(m && m->nb_int)) {
+    name = "int";
+    res = m->nb_int(x);
+  }
+  #endif
+#else
+  if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
+    res = PyNumber_Int(x);
+  }
+#endif
+  if (likely(res)) {
+#if PY_MAJOR_VERSION < 3
+    if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
+#else
+    if (unlikely(!PyLong_CheckExact(res))) {
+#endif
+        return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
+    }
+  }
+  else if (!PyErr_Occurred()) {
+    PyErr_SetString(PyExc_TypeError,
+                    "an integer is required");
+  }
+  return res;
+}
+static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
+  Py_ssize_t ival;
+  PyObject *x;
+#if PY_MAJOR_VERSION < 3
+  if (likely(PyInt_CheckExact(b))) {
+    if (sizeof(Py_ssize_t) >= sizeof(long))
+        return PyInt_AS_LONG(b);
+    else
+        return PyInt_AsSsize_t(b);
+  }
+#endif
+  if (likely(PyLong_CheckExact(b))) {
+    #if CYTHON_USE_PYLONG_INTERNALS
+    const digit* digits = ((PyLongObject*)b)->ob_digit;
+    const Py_ssize_t size = Py_SIZE(b);
+    if (likely(__Pyx_sst_abs(size) <= 1)) {
+        ival = likely(size) ? digits[0] : 0;
+        if (size == -1) ival = -ival;
+        return ival;
+    } else {
+      switch (size) {
+         case 2:
+           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
+             return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
+           }
+           break;
+         case -2:
+           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
+             return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
+           }
+           break;
+         case 3:
+           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
+             return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
+           }
+           break;
+         case -3:
+           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
+             return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
+           }
+           break;
+         case 4:
+           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
+             return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
+           }
+           break;
+         case -4:
+           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
+             return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
+           }
+           break;
+      }
+    }
+    #endif
+    return PyLong_AsSsize_t(b);
+  }
+  x = PyNumber_Index(b);
+  if (!x) return -1;
+  ival = PyInt_AsSsize_t(x);
+  Py_DECREF(x);
+  return ival;
+}
+static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) {
+  return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);
+}
+static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
+    return PyInt_FromSize_t(ival);
+}
+
+
+#endif /* Py_PYTHON_H */
diff --git a/tests/coord_cython.pyx b/tests/coord_cython.pyx
new file mode 100644
index 00000000..1c8d2861
--- /dev/null
+++ b/tests/coord_cython.pyx
@@ -0,0 +1,273 @@
+# coding: utf-8
+
+#from __future__ import division, unicode_literals
+
+"""
+Utilities for manipulating coordinates or list of coordinates, under periodic
+boundary conditions or otherwise.
+"""
+
+from six.moves import zip
+
+__author__ = "Will Richards"
+__copyright__ = "Copyright 2011, The Materials Project"
+__version__ = "1.0"
+__maintainer__ = "Will Richards"
+__email__ = "wmdrichards@gmail.com"
+__date__ = "Nov 27, 2011"
+
+import numpy as np
+
+from libc.stdlib cimport malloc, free
+from libc.math cimport round, fabs, sqrt, acos, M_PI, cos, sin
+cimport numpy as np
+cimport cython
+
+#create images, 2d array of all length 3 combinations of [-1,0,1]
+r = np.arange(-1, 2, dtype=np.float_)
+arange = r[:, None] * np.array([1, 0, 0])[None, :]
+brange = r[:, None] * np.array([0, 1, 0])[None, :]
+crange = r[:, None] * np.array([0, 0, 1])[None, :]
+images_t = arange[:, None, None] + brange[None, :, None] + \
+    crange[None, None, :]
+images = images_t.reshape((27, 3))
+
+cdef np.float_t[:, ::1] images_view = images
+
+@cython.boundscheck(False)
+@cython.wraparound(False)
+cdef void dot_2d(np.float_t[:, ::1] a, np.float_t[:, ::1] b, np.float_t[:, ::1] o) nogil:
+    cdef int i, j, k, I, J, K
+    I = a.shape[0]
+    J = b.shape[1]
+    K = a.shape[1]
+
+    for j in range(J):
+        for i in range(I):
+            o[i, j] = 0
+        for k in range(K):
+            for i in range(I):
+                o[i, j] += a[i, k] * b[k, j]
+
+@cython.boundscheck(False)
+@cython.wraparound(False)
+cdef void dot_2d_mod(np.float_t[:, ::1] a, np.float_t[:, ::1] b, np.float_t[:, ::1] o) nogil:
+    cdef int i, j, k, I, J, K
+    I = a.shape[0]
+    J = b.shape[1]
+    K = a.shape[1]
+
+    for j in range(J):
+        for i in range(I):
+            o[i, j] = 0
+        for k in range(K):
+            for i in range(I):
+                o[i, j] += a[i, k] % 1 * b[k, j]
+
+@cython.boundscheck(False)
+@cython.wraparound(False)
+@cython.initializedcheck(False)
+def pbc_shortest_vectors(lattice, fcoords1, fcoords2, mask=None, return_d2=False, lll_frac_tol=None):
+    """
+    Returns the shortest vectors between two lists of coordinates taking into
+    account periodic boundary conditions and the lattice.
+
+    Args:
+        lattice: lattice to use
+        fcoords1: First set of fractional coordinates. e.g., [0.5, 0.6, 0.7]
+            or [[1.1, 1.2, 4.3], [0.5, 0.6, 0.7]]. Must be np.float_
+        fcoords2: Second set of fractional coordinates.
+        mask (int_ array): Mask of matches that are not allowed.
+            i.e. if mask[1,2] == True, then subset[1] cannot be matched
+            to superset[2]
+        lll_frac_tol (float_ array of length 3): Fractional tolerance (per LLL lattice vector) over which
+            the calculation of minimum vectors will be skipped.
+            Can speed up calculation considerably for large structures.
+
+    Returns:
+        array of displacement vectors from fcoords1 to fcoords2
+        first index is fcoords1 index, second is fcoords2 index
+    """
+
+    #ensure correct shape
+    fcoords1, fcoords2 = np.atleast_2d(fcoords1, fcoords2)
+
+
+    fcoords1 = lattice.get_lll_frac_coords(fcoords1)
+    fcoords2 = lattice.get_lll_frac_coords(fcoords2)
+
+    cdef np.float_t[:, ::1] lat = np.array(lattice.lll_matrix, dtype=np.float_, copy=False, order='C')
+
+    cdef int i, j, k, l, I, J, bestK
+
+    I = len(fcoords1)
+    J = len(fcoords2)
+
+    cdef np.float_t[:, ::1] fc1 = fcoords1
+    cdef np.float_t[:, ::1] fc2 = fcoords2
+
+    cdef np.float_t[:, ::1] cart_f1 = <np.float_t[:I, :3]> malloc(3 * I * sizeof(np.float_t))
+    cdef np.float_t[:, ::1] cart_f2 = <np.float_t[:J, :3]> malloc(3 * J * sizeof(np.float_t))
+    cdef np.float_t[:, ::1] cart_im = <np.float_t[:27, :3]> malloc(81 * sizeof(np.float_t))
+
+    cdef bint has_mask = mask is not None
+    cdef np.int_t[:, :] m
+    if has_mask:
+        m = np.array(mask, dtype=np.int_, copy=False, order='C')
+
+    cdef bint has_ftol = (lll_frac_tol is not None)
+    cdef np.float_t[:] ftol
+    if has_ftol:
+        ftol = np.array(lll_frac_tol, dtype=np.float_, order='C', copy=False)
+
+
+    dot_2d_mod(fc1, lat, cart_f1)
+    dot_2d_mod(fc2, lat, cart_f2)
+    dot_2d(images_view, lat, cart_im)
+
+    vectors = np.empty((I, J, 3))
+    d2 = np.empty((I, J))
+    cdef np.float_t[:, :, ::1] vs = vectors
+    cdef np.float_t[:, ::1] ds = d2
+    cdef np.float_t best, d, inc_d, da, db, dc, fdist
+    cdef bint within_frac = True
+    cdef np.float_t[:] pre_im = <np.float_t[:3]> malloc(3 * sizeof(np.float_t))
+
+    for i in range(I):
+        for j in range(J):
+            within_frac = False
+            if (not has_mask) or (m[i, j] == 0):
+                within_frac = True
+                if has_ftol:
+                    for l in range(3):
+                        fdist = fc2[j, l] - fc1[i, l]
+                        if fabs(fdist - round(fdist)) > ftol[l]:
+                            within_frac = False
+                            break
+                if within_frac:
+                    for l in range(3):
+                        pre_im[l] = cart_f2[j, l] - cart_f1[i, l]
+                    best = 1e100
+                    for k in range(27):
+                        # compilers have a hard time unrolling this
+                        da = pre_im[0] + cart_im[k, 0]
+                        db = pre_im[1] + cart_im[k, 1]
+                        dc = pre_im[2] + cart_im[k, 2]
+                        d = da * da + db * db + dc * dc
+                        if d < best:
+                            best = d
+                            bestk = k
+                    ds[i, j] = best
+                    for l in range(3):
+                        vs[i, j, l] = pre_im[l] + cart_im[bestk, l]
+            if not within_frac:
+                ds[i, j] = 1e20
+                for l in range(3):
+                    vs[i, j, l] = 1e20
+
+    free(&cart_f1[0,0])
+    free(&cart_f2[0,0])
+    free(&cart_im[0,0])
+    free(&pre_im[0])
+
+    if return_d2:
+        return vectors, d2
+    else:
+        return vectors
+
+@cython.boundscheck(False)
+@cython.wraparound(False)
+@cython.initializedcheck(False)
+def is_coord_subset_pbc(subset, superset, atol, mask):
+    """
+    Tests if all fractional coords in subset are contained in superset.
+    Allows specification of a mask determining pairs that are not
+    allowed to match to each other
+
+    Args:
+        subset, superset: List of fractional coords
+
+    Returns:
+        True if all of subset is in superset.
+    """
+
+    cdef np.float_t[:, :] fc1 = subset
+    cdef np.float_t[:, :] fc2 = superset
+    cdef np.float_t[:] t = atol
+    cdef np.int_t[:, :] m = np.array(mask, dtype=np.int_, copy=False, order='C')
+
+    cdef int i, j, k, I, J
+    cdef np.float_t d
+    cdef bint ok
+
+    I = fc1.shape[0]
+    J = fc2.shape[0]
+
+    for i in range(I):
+        ok = False
+        for j in range(J):
+            if m[i, j]:
+                continue
+            ok = True
+            for k in range(3):
+                d = fc1[i, k] - fc2[j, k]
+                if fabs(d - round(d)) > t[k]:
+                    ok = False
+                    break
+            if ok:
+                break
+        if not ok:
+            break
+    return bool(ok)
+
+@cython.boundscheck(False)
+@cython.wraparound(False)
+@cython.initializedcheck(False)
+def coord_list_mapping_pbc(subset, superset, atol=1e-8):
+    """
+    Gives the index mapping from a subset to a superset.
+    Superset cannot contain duplicate matching rows
+
+    Args:
+        subset, superset: List of frac_coords
+
+    Returns:
+        list of indices such that superset[indices] = subset
+    """
+    inds = np.zeros(len(subset), dtype=np.int) - 1
+    subset = np.atleast_2d(subset)
+    superset = np.atleast_2d(superset)
+
+    cdef np.float_t[:, :] fc1 = subset
+    cdef np.float_t[:, :] fc2 = superset
+    cdef np.float_t[:] t = atol
+    cdef np.int_t[:] c_inds = inds
+    cdef np.float_t d
+    cdef bint ok_inner, ok_outer
+
+    I = fc1.shape[0]
+    J = fc2.shape[0]
+
+    for i in range(I):
+        ok_outer = False
+        for j in range(J):
+            ok_inner = True
+            for k in range(3):
+                d = fc1[i, k] - fc2[j, k]
+                if fabs(d - round(d)) > t[k]:
+                    ok_inner = False
+                    break
+            if ok_inner:
+                if c_inds[i] >= 0:
+                    raise ValueError("Something wrong with the inputs, likely duplicates "
+                             "in superset")
+                c_inds[i] = j
+                ok_outer = True
+                # we don't break here so we can check for duplicates in superset
+        if not ok_outer:
+            break
+
+    if not ok_outer:
+        raise ValueError("subset is not a subset of superset")
+
+    return inds
\ No newline at end of file
diff --git a/tests/coords.py b/tests/coords.py
new file mode 100644
index 00000000..b6784dff
--- /dev/null
+++ b/tests/coords.py
@@ -0,0 +1,504 @@
+__author__ = "https://github.com/materialsproject/pymatgen/blob/d45fdc1d9930d7952a26de51aab0d5b92fd27236/pymatgen/util/coord.py"
+__version__ = "0.1.0"
+
+
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
+
+
+"""
+Utilities for manipulating coordinates or list of coordinates, under periodic
+boundary conditions or otherwise. Many of these are heavily vectorized in
+numpy for performance.
+"""
+
+import itertools
+import math
+
+import numpy as np
+import pyximport
+
+pyximport.install(setup_args={"include_dirs": np.get_include()})
+from . import coord_cython as cuc
+
+# array size threshold for looping instead of broadcasting
+LOOP_THRESHOLD = 1e6
+
+
+def find_in_coord_list(coord_list, coord, atol=1e-8):
+    """
+    Find the indices of matches of a particular coord in a coord_list.
+
+    Args:
+        coord_list: List of coords to test
+        coord: Specific coordinates
+        atol: Absolute tolerance. Defaults to 1e-8. Accepts both scalar and
+            array.
+
+    Returns:
+        Indices of matches, e.g., [0, 1, 2, 3]. Empty list if not found.
+    """
+    if len(coord_list) == 0:
+        return []
+    diff = np.array(coord_list) - np.array(coord)[None, :]
+    return np.where(np.all(np.abs(diff) < atol, axis=1))[0]
+
+
+def in_coord_list(coord_list, coord, atol=1e-8):
+    """
+    Tests if a particular coord is within a coord_list.
+
+    Args:
+        coord_list: List of coords to test
+        coord: Specific coordinates
+        atol: Absolute tolerance. Defaults to 1e-8. Accepts both scalar and
+            array.
+
+    Returns:
+        True if coord is in the coord list.
+    """
+    return len(find_in_coord_list(coord_list, coord, atol=atol)) > 0
+
+
+def is_coord_subset(subset, superset, atol=1e-8):
+    """
+    Tests if all coords in subset are contained in superset.
+    Doesn't use periodic boundary conditions
+
+    Args:
+        subset, superset: List of coords
+
+    Returns:
+        True if all of subset is in superset.
+    """
+    c1 = np.array(subset)
+    c2 = np.array(superset)
+    is_close = np.all(np.abs(c1[:, None, :] - c2[None, :, :]) < atol, axis=-1)
+    any_close = np.any(is_close, axis=-1)
+    return np.all(any_close)
+
+
+def coord_list_mapping(subset, superset, atol=1e-8):
+    """
+    Gives the index mapping from a subset to a superset.
+    Subset and superset cannot contain duplicate rows
+
+    Args:
+        subset, superset: List of coords
+
+    Returns:
+        list of indices such that superset[indices] = subset
+    """
+    c1 = np.array(subset)
+    c2 = np.array(superset)
+    inds = np.where(
+        np.all(np.isclose(c1[:, None, :], c2[None, :, :], atol=atol), axis=2)
+    )[1]
+    result = c2[inds]
+    if not np.allclose(c1, result, atol=atol):
+        if not is_coord_subset(subset, superset):
+            raise ValueError("subset is not a subset of superset")
+    if not result.shape == c1.shape:
+        raise ValueError(
+            "Something wrong with the inputs, likely duplicates " "in superset"
+        )
+    return inds
+
+
+def coord_list_mapping_pbc(subset, superset, atol=1e-8):
+    """
+    Gives the index mapping from a subset to a superset.
+    Superset cannot contain duplicate matching rows
+
+    Args:
+        subset, superset: List of frac_coords
+
+    Returns:
+        list of indices such that superset[indices] = subset
+    """
+    # pylint: disable=I1101
+    atol = np.array([1.0, 1.0, 1.0]) * atol
+    return cuc.coord_list_mapping_pbc(subset, superset, atol)
+
+
+def get_linear_interpolated_value(x_values, y_values, x):
+    """
+    Returns an interpolated value by linear interpolation between two values.
+    This method is written to avoid dependency on scipy, which causes issues on
+    threading servers.
+
+    Args:
+        x_values: Sequence of x values.
+        y_values: Corresponding sequence of y values
+        x: Get value at particular x
+
+    Returns:
+        Value at x.
+    """
+    a = np.array(sorted(zip(x_values, y_values), key=lambda d: d[0]))
+
+    ind = np.where(a[:, 0] >= x)[0]
+
+    if len(ind) == 0 or ind[0] == 0:
+        raise ValueError("x is out of range of provided x_values")
+
+    i = ind[0]
+    x1, x2 = a[i - 1][0], a[i][0]
+    y1, y2 = a[i - 1][1], a[i][1]
+
+    return y1 + (y2 - y1) / (x2 - x1) * (x - x1)
+
+
+def all_distances(coords1, coords2):
+    """
+    Returns the distances between two lists of coordinates
+
+    Args:
+        coords1: First set of cartesian coordinates.
+        coords2: Second set of cartesian coordinates.
+
+    Returns:
+        2d array of cartesian distances. E.g the distance between
+        coords1[i] and coords2[j] is distances[i,j]
+    """
+    c1 = np.array(coords1)
+    c2 = np.array(coords2)
+    z = (c1[:, None, :] - c2[None, :, :]) ** 2
+    return np.sum(z, axis=-1) ** 0.5
+
+
+def pbc_diff(fcoords1, fcoords2):
+    """
+    Returns the 'fractional distance' between two coordinates taking into
+    account periodic boundary conditions.
+
+    Args:
+        fcoords1: First set of fractional coordinates. e.g., [0.5, 0.6,
+            0.7] or [[1.1, 1.2, 4.3], [0.5, 0.6, 0.7]]. It can be a single
+            coord or any array of coords.
+        fcoords2: Second set of fractional coordinates.
+
+    Returns:
+        Fractional distance. Each coordinate must have the property that
+        abs(a) <= 0.5. Examples:
+        pbc_diff([0.1, 0.1, 0.1], [0.3, 0.5, 0.9]) = [-0.2, -0.4, 0.2]
+        pbc_diff([0.9, 0.1, 1.01], [0.3, 0.5, 0.9]) = [-0.4, -0.4, 0.11]
+    """
+    fdist = np.subtract(fcoords1, fcoords2)
+    return fdist - np.round(fdist)
+
+
+def pbc_shortest_vectors(lattice, fcoords1, fcoords2, mask=None, return_d2=False):
+    """
+    Returns the shortest vectors between two lists of coordinates taking into
+    account periodic boundary conditions and the lattice.
+
+    Args:
+        lattice: lattice to use
+        fcoords1: First set of fractional coordinates. e.g., [0.5, 0.6, 0.7]
+            or [[1.1, 1.2, 4.3], [0.5, 0.6, 0.7]]. It can be a single
+            coord or any array of coords.
+        fcoords2: Second set of fractional coordinates.
+        mask (boolean array): Mask of matches that are not allowed.
+            i.e. if mask[1,2] == True, then subset[1] cannot be matched
+            to superset[2]
+        return_d2 (boolean): whether to also return the squared distances
+
+    Returns:
+        array of displacement vectors from fcoords1 to fcoords2
+        first index is fcoords1 index, second is fcoords2 index
+    """
+    # pylint: disable=I1101
+    return cuc.pbc_shortest_vectors(lattice, fcoords1, fcoords2, mask, return_d2)
+
+
+def find_in_coord_list_pbc(fcoord_list, fcoord, atol=1e-8):
+    """
+    Get the indices of all points in a fractional coord list that are
+    equal to a fractional coord (with a tolerance), taking into account
+    periodic boundary conditions.
+
+    Args:
+        fcoord_list: List of fractional coords
+        fcoord: A specific fractional coord to test.
+        atol: Absolute tolerance. Defaults to 1e-8.
+
+    Returns:
+        Indices of matches, e.g., [0, 1, 2, 3]. Empty list if not found.
+    """
+    if len(fcoord_list) == 0:
+        return []
+    fcoords = np.tile(fcoord, (len(fcoord_list), 1))
+    fdist = fcoord_list - fcoords
+    fdist -= np.round(fdist)
+    return np.where(np.all(np.abs(fdist) < atol, axis=1))[0]
+
+
+def in_coord_list_pbc(fcoord_list, fcoord, atol=1e-8):
+    """
+    Tests if a particular fractional coord is within a fractional coord_list.
+
+    Args:
+        fcoord_list: List of fractional coords to test
+        fcoord: A specific fractional coord to test.
+        atol: Absolute tolerance. Defaults to 1e-8.
+
+    Returns:
+        True if coord is in the coord list.
+    """
+    return len(find_in_coord_list_pbc(fcoord_list, fcoord, atol=atol)) > 0
+
+
+def is_coord_subset_pbc(subset, superset, atol=1e-8, mask=None):
+    """
+    Tests if all fractional coords in subset are contained in superset.
+
+    Args:
+        subset, superset: List of fractional coords
+        atol (float or size 3 array): Tolerance for matching
+        mask (boolean array): Mask of matches that are not allowed.
+            i.e. if mask[1,2] == True, then subset[1] cannot be matched
+            to superset[2]
+
+    Returns:
+        True if all of subset is in superset.
+    """
+    # pylint: disable=I1101
+    c1 = np.array(subset, dtype=np.float64)
+    c2 = np.array(superset, dtype=np.float64)
+    if mask is not None:
+        m = np.array(mask, dtype=np.int)
+    else:
+        m = np.zeros((len(subset), len(superset)), dtype=np.int)
+    atol = np.zeros(3, dtype=np.float64) + atol
+    return cuc.is_coord_subset_pbc(c1, c2, atol, m)
+
+
+def lattice_points_in_supercell(supercell_matrix):
+    """
+    Returns the list of points on the original lattice contained in the
+    supercell in fractional coordinates (with the supercell basis).
+    e.g. [[2,0,0],[0,1,0],[0,0,1]] returns [[0,0,0],[0.5,0,0]]
+
+    Args:
+        supercell_matrix: 3x3 matrix describing the supercell
+
+    Returns:
+        numpy array of the fractional coordinates
+    """
+    diagonals = np.array(
+        [
+            [0, 0, 0],
+            [0, 0, 1],
+            [0, 1, 0],
+            [0, 1, 1],
+            [1, 0, 0],
+            [1, 0, 1],
+            [1, 1, 0],
+            [1, 1, 1],
+        ]
+    )
+    d_points = np.dot(diagonals, supercell_matrix)
+
+    mins = np.min(d_points, axis=0)
+    maxes = np.max(d_points, axis=0) + 1
+
+    ar = np.arange(mins[0], maxes[0])[:, None] * np.array([1, 0, 0])[None, :]
+    br = np.arange(mins[1], maxes[1])[:, None] * np.array([0, 1, 0])[None, :]
+    cr = np.arange(mins[2], maxes[2])[:, None] * np.array([0, 0, 1])[None, :]
+
+    all_points = ar[:, None, None] + br[None, :, None] + cr[None, None, :]
+    all_points = all_points.reshape((-1, 3))
+
+    frac_points = np.dot(all_points, np.linalg.inv(supercell_matrix))
+
+    tvects = frac_points[
+        np.all(frac_points < 1 - 1e-10, axis=1) & np.all(frac_points >= -1e-10, axis=1)
+    ]
+    assert len(tvects) == round(abs(np.linalg.det(supercell_matrix)))
+    return tvects
+
+
+def barycentric_coords(coords, simplex):
+    """
+    Converts a list of coordinates to barycentric coordinates, given a
+    simplex with d+1 points. Only works for d >= 2.
+
+    Args:
+        coords: list of n coords to transform, shape should be (n,d)
+        simplex: list of coordinates that form the simplex, shape should be
+            (d+1, d)
+
+    Returns:
+        a LIST of barycentric coordinates (even if the original input was 1d)
+    """
+    coords = np.atleast_2d(coords)
+
+    t = np.transpose(simplex[:-1, :]) - np.transpose(simplex[-1, :])[:, None]
+    all_but_one = np.transpose(np.linalg.solve(t, np.transpose(coords - simplex[-1])))
+    last_coord = 1 - np.sum(all_but_one, axis=-1)[:, None]
+    return np.append(all_but_one, last_coord, axis=-1)
+
+
+def get_angle(v1, v2, units="degrees"):
+    """
+    Calculates the angle between two vectors.
+
+    Args:
+        v1: Vector 1
+        v2: Vector 2
+        units: "degrees" or "radians". Defaults to "degrees".
+
+    Returns:
+        Angle between them in degrees.
+    """
+    d = np.dot(v1, v2) / np.linalg.norm(v1) / np.linalg.norm(v2)
+    d = min(d, 1)
+    d = max(d, -1)
+    angle = math.acos(d)
+    if units == "degrees":
+        return math.degrees(angle)
+    if units == "radians":
+        return angle
+    raise ValueError("Invalid units {}".format(units))
+
+
+class Simplex:
+    """
+    A generalized simplex object. See http://en.wikipedia.org/wiki/Simplex.
+
+    .. attribute: space_dim
+
+        Dimension of the space. Usually, this is 1 more than the simplex_dim.
+
+    .. attribute: simplex_dim
+
+        Dimension of the simplex coordinate space.
+    """
+
+    def __init__(self, coords):
+        """
+        Initializes a Simplex from vertex coordinates.
+
+        Args:
+            coords ([[float]]): Coords of the vertices of the simplex. E.g.,
+                [[1, 2, 3], [2, 4, 5], [6, 7, 8], [8, 9, 10].
+        """
+        self._coords = np.array(coords)
+        self.space_dim, self.simplex_dim = self._coords.shape
+        self.origin = self._coords[-1]
+        if self.space_dim == self.simplex_dim + 1:
+            # precompute augmented matrix for calculating bary_coords
+            self._aug = np.concatenate([coords, np.ones((self.space_dim, 1))], axis=-1)
+            self._aug_inv = np.linalg.inv(self._aug)
+
+    @property
+    def volume(self):
+        """
+        Volume of the simplex.
+        """
+        return abs(np.linalg.det(self._aug)) / math.factorial(self.simplex_dim)
+
+    def bary_coords(self, point):
+        """
+        Args:
+            point (): Point coordinates.
+
+        Returns:
+            Barycentric coordinations.
+        """
+        try:
+            return np.dot(np.concatenate([point, [1]]), self._aug_inv)
+        except AttributeError:
+            raise ValueError("Simplex is not full-dimensional")
+
+    def point_from_bary_coords(self, bary_coords):
+        """
+        Args:
+            bary_coords (): Barycentric coordinates
+
+        Returns:
+            Point coordinates
+        """
+        try:
+            return np.dot(bary_coords, self._aug[:, :-1])
+        except AttributeError:
+            raise ValueError("Simplex is not full-dimensional")
+
+    def in_simplex(self, point, tolerance=1e-8):
+        """
+        Checks if a point is in the simplex using the standard barycentric
+        coordinate system algorithm.
+
+        Taking an arbitrary vertex as an origin, we compute the basis for the
+        simplex from this origin by subtracting all other vertices from the
+        origin. We then project the point into this coordinate system and
+        determine the linear decomposition coefficients in this coordinate
+        system.  If the coeffs satisfy that all coeffs >= 0, the composition
+        is in the facet.
+
+        Args:
+            point ([float]): Point to test
+            tolerance (float): Tolerance to test if point is in simplex.
+        """
+        return (self.bary_coords(point) >= -tolerance).all()
+
+    def line_intersection(self, point1, point2, tolerance=1e-8):
+        """
+        Computes the intersection points of a line with a simplex
+        Args:
+            point1, point2 ([float]): Points that determine the line
+        Returns:
+            points where the line intersects the simplex (0, 1, or 2)
+        """
+        b1 = self.bary_coords(point1)
+        b2 = self.bary_coords(point2)
+        l = b1 - b2
+        # don't use barycentric dimension where line is parallel to face
+        valid = np.abs(l) > 1e-10
+        # array of all the barycentric coordinates on the line where
+        # one of the values is 0
+        possible = b1 - (b1[valid] / l[valid])[:, None] * l
+        barys = []
+        for p in possible:
+            # it's only an intersection if its in the simplex
+            if (p >= -tolerance).all():
+                found = False
+                # don't return duplicate points
+                for b in barys:
+                    if np.all(np.abs(b - p) < tolerance):
+                        found = True
+                        break
+                if not found:
+                    barys.append(p)
+        assert len(barys) < 3
+        return [self.point_from_bary_coords(b) for b in barys]
+
+    def __eq__(self, other):
+        for p in itertools.permutations(self._coords):
+            if np.allclose(p, other.coords):
+                return True
+        return False
+
+    def __hash__(self):
+        return len(self._coords)
+
+    def __repr__(self):
+        output = [
+            "{}-simplex in {}D space".format(self.simplex_dim, self.space_dim),
+            "Vertices:",
+        ]
+        for coord in self._coords:
+            output.append("\t({})".format(", ".join(map(str, coord))))
+        return "\n".join(output)
+
+    def __str__(self):
+        return self.__repr__()
+
+    @property
+    def coords(self):
+        """
+        Returns a copy of the vertex coordinates in the simplex.
+        """
+        return self._coords.copy()
diff --git a/tests/integration_tests/fitting/__init__.py b/tests/integration_tests/fitting/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/integration/fitting/test_fitter.py b/tests/integration_tests/fitting/test_fitter.py
similarity index 83%
rename from tests/integration/fitting/test_fitter.py
rename to tests/integration_tests/fitting/test_fitter.py
index c6d130fd..d5c9b255 100644
--- a/tests/integration/fitting/test_fitter.py
+++ b/tests/integration_tests/fitting/test_fitter.py
@@ -1,15 +1,16 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
-import numpy as np
 import pytest
 
-from easyscience import AvailableMinimizers
+import numpy as np
 from easyscience import Fitter
+from easyscience import AvailableMinimizers
 from easyscience import ObjBase
 from easyscience import Parameter
-from easyscience.base_classes import ModelBase
 from easyscience.fitting.minimizers import FitError
+from easyscience.base_classes import ModelBase
 
 
 # Model and container of parameters for tests
@@ -18,9 +19,9 @@ class AbsSin(ObjBase):
     offset: Parameter
 
     def __init__(self, offset_val: float, phase_val: float):
-        offset = Parameter('offset', offset_val)
-        phase = Parameter('phase', phase_val)
-        super().__init__('sin', offset=offset, phase=phase)
+        offset = Parameter("offset", offset_val)
+        phase = Parameter("phase", phase_val)
+        super().__init__("sin", offset=offset, phase=phase)
 
     def __call__(self, x):
         return np.abs(np.sin(self.phase.value * x + self.offset.value))
@@ -31,9 +32,9 @@ class AbsSin2D(ObjBase):
     offset: Parameter
 
     def __init__(self, offset_val: float, phase_val: float):
-        offset = Parameter('offset', offset_val)
-        phase = Parameter('phase', phase_val)
-        super().__init__('sin2D', offset=offset, phase=phase)
+        offset = Parameter("offset", offset_val)
+        phase = Parameter("phase", phase_val)
+        super().__init__("sin2D", offset=offset, phase=phase)
 
     def __call__(self, x):
         X = x[:, :, 0]  # x is a 2D array
@@ -55,8 +56,8 @@ def __call__(self, x):
 class StraightLine(ModelBase):
     def __init__(self, slope: float, intercept: float):
         super().__init__()
-        self._slope = Parameter('slope', slope)
-        self._intercept = Parameter('intercept', intercept)
+        self._slope = Parameter("slope", slope)
+        self._intercept = Parameter("intercept", intercept)
 
     @property
     def slope(self) -> Parameter:
@@ -83,12 +84,14 @@ def check_fit_results(result, sp_sin, ref_sin, x, **kwargs):
     assert result.chi2 == pytest.approx(0, abs=1.5e-3 * (len(result.x) - result.n_pars))
     assert result.reduced_chi == pytest.approx(0, abs=1.5e-3)
     assert result.success
-    if 'sp_ref1' in kwargs.keys():
-        sp_ref1 = kwargs['sp_ref1']
+    if "sp_ref1" in kwargs.keys():
+        sp_ref1 = kwargs["sp_ref1"]
         for key, value in sp_ref1.items():
             assert key in result.p.keys()
             assert key in result.p0.keys()
-            assert result.p0[key] == pytest.approx(value)  # Bumps does something strange here
+            assert result.p0[key] == pytest.approx(
+                value
+            )  # Bumps does something strange here
     assert np.all(result.x == x)
     for item1, item2 in zip(sp_sin._kwargs.values(), ref_sin._kwargs.values()):
         # assert item.error > 0 % This does not work as some methods don't calculate error
@@ -99,9 +102,8 @@ def check_fit_results(result, sp_sin, ref_sin, x, **kwargs):
     assert result.residual == pytest.approx(sp_sin(x) - y_calc_ref, abs=1e-2)
 
 
-@pytest.mark.fast
 @pytest.mark.parametrize(
-    'fit_engine',
+    "fit_engine",
     [
         None,
         AvailableMinimizers.LMFit,
@@ -125,7 +127,7 @@ def test_basic_fit(fit_engine: AvailableMinimizers):
         try:
             f.switch_minimizer(fit_engine)
         except AttributeError:
-            pytest.skip(msg=f'{fit_engine} is not installed')
+            pytest.skip(msg=f"{fit_engine} is not installed")
 
     result = f.fit(x=x, y=y, weights=weights)
 
@@ -137,9 +139,8 @@ def test_basic_fit(fit_engine: AvailableMinimizers):
     assert sp_sin.offset.value == pytest.approx(ref_sin.offset.value, rel=1e-3)
 
 
-@pytest.mark.fast
 @pytest.mark.parametrize(
-    'fit_engine',
+    "fit_engine",
     [
         None,
         AvailableMinimizers.LMFit,
@@ -159,11 +160,11 @@ def test_fit_result(fit_engine):
     sp_sin.phase.fixed = False
 
     sp_ref1 = {
-        f'p{item1.unique_name}': item1.value
+        f"p{item1.unique_name}": item1.value
         for item1, item2 in zip(sp_sin._kwargs.values(), ref_sin._kwargs.values())
     }
     sp_ref2 = {
-        f'p{item1.unique_name}': item2.value
+        f"p{item1.unique_name}": item2.value
         for item1, item2 in zip(sp_sin._kwargs.values(), ref_sin._kwargs.values())
     }
 
@@ -173,15 +174,14 @@ def test_fit_result(fit_engine):
         try:
             f.switch_minimizer(fit_engine)
         except AttributeError:
-            pytest.skip(msg=f'{fit_engine} is not installed')
+            pytest.skip(msg=f"{fit_engine} is not installed")
 
     result = f.fit(x, y, weights=weights)
     check_fit_results(result, sp_sin, ref_sin, x, sp_ref1=sp_ref1, sp_ref2=sp_ref2)
 
 
-@pytest.mark.fast
 @pytest.mark.parametrize(
-    'fit_engine',
+    "fit_engine",
     [
         None,
         AvailableMinimizers.LMFit,
@@ -205,7 +205,7 @@ def test_basic_max_evaluations(fit_engine):
         try:
             f.switch_minimizer(fit_engine)
         except AttributeError:
-            pytest.skip(msg=f'{fit_engine} is not installed')
+            pytest.skip(msg=f"{fit_engine} is not installed")
     f.max_evaluations = 3
     try:
         result = f.fit(x=x, y=y, weights=weights)
@@ -214,12 +214,11 @@ def test_basic_max_evaluations(fit_engine):
         assert sp_sin.offset.value != pytest.approx(ref_sin.offset.value, rel=1e-3)
     except FitError as e:
         # DFO throws a different error
-        assert 'Objective has been called MAXFUN times' in str(e)
+        assert "Objective has been called MAXFUN times" in str(e)
 
 
-@pytest.mark.fast
 @pytest.mark.parametrize(
-    'fit_engine,tolerance',
+    "fit_engine,tolerance",
     [
         (None, 10),
         (AvailableMinimizers.LMFit, 10),
@@ -243,7 +242,7 @@ def test_basic_tolerance(fit_engine, tolerance):
         try:
             f.switch_minimizer(fit_engine)
         except AttributeError:
-            pytest.skip(msg=f'{fit_engine} is not installed')
+            pytest.skip(msg=f"{fit_engine} is not installed")
     f.tolerance = tolerance
     result = f.fit(x=x, y=y, weights=weights)
     # Result should not be the same as the reference
@@ -251,8 +250,7 @@ def test_basic_tolerance(fit_engine, tolerance):
     assert sp_sin.offset.value != pytest.approx(ref_sin.offset.value, rel=1e-3)
 
 
-@pytest.mark.fast
-@pytest.mark.parametrize('fit_method', ['leastsq', 'powell', 'cobyla'])
+@pytest.mark.parametrize("fit_method", ["leastsq", "powell", "cobyla"])
 def test_lmfit_methods(fit_method):
     ref_sin = AbsSin(0.2, np.pi)
     sp_sin = AbsSin(0.354, 3.05)
@@ -271,8 +269,7 @@ def test_lmfit_methods(fit_method):
 
 
 # @pytest.mark.xfail(reason="known bumps issue")
-@pytest.mark.fast
-@pytest.mark.parametrize('fit_method', ['newton', 'lm'])
+@pytest.mark.parametrize("fit_method", ["newton", "lm"])
 def test_bumps_methods(fit_method):
     ref_sin = AbsSin(0.2, np.pi)
     sp_sin = AbsSin(0.354, 3.05)
@@ -285,15 +282,14 @@ def test_bumps_methods(fit_method):
     sp_sin.phase.fixed = False
 
     f = Fitter(sp_sin, sp_sin)
-    f.switch_minimizer('Bumps')
+    f.switch_minimizer("Bumps")
     assert fit_method in f._minimizer.supported_methods()
     result = f.fit(x, y, weights=weights, method=fit_method)
     check_fit_results(result, sp_sin, ref_sin, x)
 
 
-@pytest.mark.fast
 @pytest.mark.parametrize(
-    'fit_engine',
+    "fit_engine",
     [AvailableMinimizers.LMFit, AvailableMinimizers.Bumps, AvailableMinimizers.DFO],
 )
 def test_dependent_parameter(fit_engine):
@@ -307,22 +303,21 @@ def test_dependent_parameter(fit_engine):
     f = Fitter(sp_sin, sp_sin)
 
     sp_sin.offset.make_dependent_on(
-        dependency_expression='2*phase', dependency_map={'phase': sp_sin.phase}
+        dependency_expression="2*phase", dependency_map={"phase": sp_sin.phase}
     )
 
     if fit_engine is not None:
         try:
             f.switch_minimizer(fit_engine)
         except AttributeError:
-            pytest.skip(msg=f'{fit_engine} is not installed')
+            pytest.skip(msg=f"{fit_engine} is not installed")
 
     result = f.fit(x, y, weights=weights)
     check_fit_results(result, sp_sin, ref_sin, x)
 
 
-@pytest.mark.fast
 @pytest.mark.parametrize(
-    'fit_engine',
+    "fit_engine",
     [
         None,
         AvailableMinimizers.LMFit,
@@ -342,12 +337,12 @@ def test_2D_vectorized(fit_engine):
         try:
             ff.switch_minimizer(fit_engine)
         except AttributeError:
-            pytest.skip(msg=f'{fit_engine} is not installed')
+            pytest.skip(msg=f"{fit_engine} is not installed")
     try:
         result = ff.fit(x=XY, y=mm(XY), weights=weights, vectorized=True)
     except FitError as e:
-        if 'Unable to allocate' in str(e):
-            pytest.skip(msg='MemoryError - Matrix too large')
+        if "Unable to allocate" in str(e):
+            pytest.skip(msg="MemoryError - Matrix too large")
         else:
             raise e
     assert result.n_pars == len(m2.get_fit_parameters())
@@ -359,9 +354,8 @@ def test_2D_vectorized(fit_engine):
     assert result.residual == pytest.approx(mm(XY) - y_calc_ref, abs=1e-2)
 
 
-@pytest.mark.fast
 @pytest.mark.parametrize(
-    'fit_engine',
+    "fit_engine",
     [
         None,
         AvailableMinimizers.LMFit,
@@ -381,12 +375,14 @@ def test_2D_non_vectorized(fit_engine):
         try:
             ff.switch_minimizer(fit_engine)
         except AttributeError:
-            pytest.skip(msg=f'{fit_engine} is not installed')
+            pytest.skip(msg=f"{fit_engine} is not installed")
     try:
-        result = ff.fit(x=XY, y=mm(XY.reshape(-1, 2)), weights=weights, vectorized=False)
+        result = ff.fit(
+            x=XY, y=mm(XY.reshape(-1, 2)), weights=weights, vectorized=False
+        )
     except FitError as e:
-        if 'Unable to allocate' in str(e):
-            pytest.skip(msg='MemoryError - Matrix too large')
+        if "Unable to allocate" in str(e):
+            pytest.skip(msg="MemoryError - Matrix too large")
         else:
             raise e
     assert result.n_pars == len(m2.get_fit_parameters())
@@ -395,12 +391,13 @@ def test_2D_non_vectorized(fit_engine):
     assert np.all(result.x == XY)
     y_calc_ref = m2(XY.reshape(-1, 2))
     assert result.y_calc == pytest.approx(y_calc_ref, abs=1e-2)
-    assert result.residual == pytest.approx(mm(XY.reshape(-1, 2)) - y_calc_ref, abs=1e-2)
+    assert result.residual == pytest.approx(
+        mm(XY.reshape(-1, 2)) - y_calc_ref, abs=1e-2
+    )
 
 
-@pytest.mark.fast
 @pytest.mark.parametrize(
-    'fit_engine',
+    "fit_engine",
     [
         None,
         AvailableMinimizers.LMFit,
@@ -429,7 +426,7 @@ def test_fixed_parameter_does_not_change(fit_engine):
         try:
             f.switch_minimizer(fit_engine)
         except AttributeError:
-            pytest.skip(msg=f'{fit_engine} is not installed')
+            pytest.skip(msg=f"{fit_engine} is not installed")
 
     result = f.fit(x=x, y=y, weights=weights)
 
@@ -440,7 +437,6 @@ def test_fixed_parameter_does_not_change(fit_engine):
     assert sp_sin.phase.value != pytest.approx(ref_sin.phase.value, rel=1e-3)
 
 
-@pytest.mark.fast
 def test_fitter_new_model_base_integration():
     # WHEN
     ground_truth = StraightLine(slope=2.0, intercept=1.0)
@@ -458,12 +454,13 @@ def test_fitter_new_model_base_integration():
 
     # EXPECT
     assert model.slope.value == pytest.approx(ground_truth.slope.value, rel=1e-3)
-    assert model.intercept.value == pytest.approx(ground_truth.intercept.value, rel=1e-3)
+    assert model.intercept.value == pytest.approx(
+        ground_truth.intercept.value, rel=1e-3
+    )
 
 
-@pytest.mark.fast
 @pytest.mark.parametrize(
-    'fit_engine',
+    "fit_engine",
     [
         None,
         AvailableMinimizers.LMFit,
@@ -504,7 +501,7 @@ def run_fit(weights):
             try:
                 f.switch_minimizer(fit_engine)
             except AttributeError:
-                pytest.skip(msg=f'{fit_engine} is not installed')
+                pytest.skip(msg=f"{fit_engine} is not installed")
 
         f.fit(x=x, y=y, weights=weights)
         return model.offset.value, model.phase.value
@@ -514,4 +511,6 @@ def run_fit(weights):
 
     # The fit should shift more toward the distorted region
     # when it has higher weight
-    assert abs(offset_high - ref_sin.offset.value) > abs(offset_low - ref_sin.offset.value)
+    assert abs(offset_high - ref_sin.offset.value) > abs(
+        offset_low - ref_sin.offset.value
+    )
diff --git a/tests/integration/fitting/test_multi_fitter.py b/tests/integration_tests/fitting/test_multi_fitter.py
similarity index 61%
rename from tests/integration/fitting/test_multi_fitter.py
rename to tests/integration_tests/fitting/test_multi_fitter.py
index 1cc5b395..fb2c7802 100644
--- a/tests/integration/fitting/test_multi_fitter.py
+++ b/tests/integration_tests/fitting/test_multi_fitter.py
@@ -1,13 +1,14 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
-import numpy as np
 import pytest
 
+import numpy as np
+from easyscience.fitting.multi_fitter import MultiFitter
+from easyscience.fitting.minimizers import FitError
 from easyscience import ObjBase
 from easyscience import Parameter
-from easyscience.fitting.minimizers import FitError
-from easyscience.fitting.multi_fitter import MultiFitter
 
 
 class Line(ObjBase):
@@ -15,22 +16,22 @@ class Line(ObjBase):
     c: Parameter
 
     def __init__(self, m_val: float, c_val: float):
-        m = Parameter('m', m_val)
-        c = Parameter('c', c_val)
-        super(Line, self).__init__('line', m=m, c=c)
+        m = Parameter("m", m_val)
+        c = Parameter("c", c_val)
+        super(Line, self).__init__("line", m=m, c=c)
 
     def __call__(self, x):
         return self.m.value * x + self.c.value
-
+    
 
 class AbsSin(ObjBase):
     phase: Parameter
     offset: Parameter
 
     def __init__(self, offset_val: float, phase_val: float):
-        offset = Parameter('offset', offset_val)
-        phase = Parameter('phase', phase_val)
-        super().__init__('sin', offset=offset, phase=phase)
+        offset = Parameter("offset", offset_val)
+        phase = Parameter("phase", phase_val)
+        super().__init__("sin", offset=offset, phase=phase)
 
     def __call__(self, x):
         return np.abs(np.sin(self.phase.value * x + self.offset.value))
@@ -41,32 +42,28 @@ class AbsSin2D(ObjBase):
     offset: Parameter
 
     def __init__(self, offset_val: float, phase_val: float):
-        offset = Parameter('offset', offset_val)
-        phase = Parameter('phase', phase_val)
-        super().__init__('sin2D', offset=offset, phase=phase)
+        offset = Parameter("offset", offset_val)
+        phase = Parameter("phase", phase_val)
+        super().__init__("sin2D", offset=offset, phase=phase)
 
     def __call__(self, x):
-        X = x[:, :, 0]  # x is a 2D array
+        X = x[:, :, 0]   # x is a 2D array
         Y = x[:, :, 1]
-        return np.abs(np.sin(self.phase.value * X + self.offset.value)) * np.abs(
-            np.sin(self.phase.value * Y + self.offset.value)
-        )
+        return np.abs(
+            np.sin(self.phase.value * X + self.offset.value)
+        ) * np.abs(np.sin(self.phase.value * Y + self.offset.value))
 
 
-@pytest.mark.parametrize('fit_engine', [None, 'LMFit', 'Bumps', 'DFO'])
+@pytest.mark.parametrize("fit_engine", [None, "LMFit", "Bumps", "DFO"])
 def test_multi_fit(fit_engine):
     ref_sin_1 = AbsSin(0.2, np.pi)
     sp_sin_1 = AbsSin(0.354, 3.05)
     ref_sin_2 = AbsSin(np.pi * 0.45, 0.45 * np.pi * 0.5)
     sp_sin_2 = AbsSin(1, 0.5)
 
-    ref_sin_2.offset.make_dependent_on(
-        dependency_expression='ref_sin1', dependency_map={'ref_sin1': ref_sin_1.offset}
-    )
+    ref_sin_2.offset.make_dependent_on(dependency_expression="ref_sin1", dependency_map={"ref_sin1": ref_sin_1.offset})
 
-    sp_sin_2.offset.make_dependent_on(
-        dependency_expression='sp_sin1', dependency_map={'sp_sin1': sp_sin_1.offset}
-    )
+    sp_sin_2.offset.make_dependent_on(dependency_expression="sp_sin1", dependency_map={"sp_sin1": sp_sin_1.offset})
 
     x1 = np.linspace(0, 5, 200)
     y1 = ref_sin_1(x1)
@@ -83,7 +80,7 @@ def test_multi_fit(fit_engine):
         try:
             f.switch_minimizer(fit_engine)
         except AttributeError:
-            pytest.skip(msg=f'{fit_engine} is not installed')
+            pytest.skip(msg=f"{fit_engine} is not installed")
 
     results = f.fit(x=[x1, x2], y=[y1, y2], weights=[weights, weights])
     X = [x1, x2]
@@ -94,38 +91,35 @@ def test_multi_fit(fit_engine):
         assert result.n_pars == len(sp_sin_1.get_fit_parameters()) + len(
             sp_sin_2.get_fit_parameters()
         )
-        assert result.chi2 == pytest.approx(0, abs=1.5e-3 * (len(result.x) - result.n_pars))
+        assert result.chi2 == pytest.approx(
+            0, abs=1.5e-3 * (len(result.x) - result.n_pars)
+        )
         assert result.reduced_chi == pytest.approx(0, abs=1.5e-3)
         assert result.success
         assert np.all(result.x == X[idx])
         assert np.all(result.y_obs == Y[idx])
         assert result.y_calc == pytest.approx(F_ref[idx](X[idx]), abs=1e-2)
-        assert result.residual == pytest.approx(F_real[idx](X[idx]) - F_ref[idx](X[idx]), abs=1e-2)
+        assert result.residual == pytest.approx(
+            F_real[idx](X[idx]) - F_ref[idx](X[idx]), abs=1e-2
+        )
 
 
-@pytest.mark.parametrize('fit_engine', [None, 'LMFit', 'Bumps', 'DFO'])
+@pytest.mark.parametrize("fit_engine", [None, "LMFit", "Bumps", "DFO"])
 def test_multi_fit2(fit_engine):
     ref_sin_1 = AbsSin(0.2, np.pi)
     sp_sin_1 = AbsSin(0.354, 3.05)
     ref_sin_2 = AbsSin(np.pi * 0.45, 0.45 * np.pi * 0.5)
-    sp_sin_2 = AbsSin(1, 0.5)  # ref_sin_1_obj = genObjs[0]
+    sp_sin_2 = AbsSin(1, 0.5)#    ref_sin_1_obj = genObjs[0]
     ref_line_obj = Line(1, 4.6)
 
-    ref_sin_2.offset.make_dependent_on(
-        dependency_expression='ref_sin1', dependency_map={'ref_sin1': ref_sin_1.offset}
-    )
-    ref_line_obj.m.make_dependent_on(
-        dependency_expression='ref_sin1', dependency_map={'ref_sin1': ref_sin_1.offset}
-    )
+    ref_sin_2.offset.make_dependent_on(dependency_expression="ref_sin1", dependency_map={"ref_sin1": ref_sin_1.offset})
+    ref_line_obj.m.make_dependent_on(dependency_expression="ref_sin1", dependency_map={"ref_sin1": ref_sin_1.offset})
 
     sp_line = Line(0.43, 6.1)
 
-    sp_sin_2.offset.make_dependent_on(
-        dependency_expression='sp_sin1', dependency_map={'sp_sin1': sp_sin_1.offset}
-    )
-    sp_line.m.make_dependent_on(
-        dependency_expression='sp_sin1', dependency_map={'sp_sin1': sp_sin_1.offset}
-    )
+    sp_sin_2.offset.make_dependent_on(dependency_expression="sp_sin1", dependency_map={"sp_sin1": sp_sin_1.offset})
+    sp_line.m.make_dependent_on(dependency_expression="sp_sin1", dependency_map={"sp_sin1": sp_sin_1.offset})
+
 
     x1 = np.linspace(0, 5, 200)
     y1 = ref_sin_1(x1)
@@ -145,7 +139,7 @@ def test_multi_fit2(fit_engine):
         try:
             f.switch_minimizer(fit_engine)
         except AttributeError:
-            pytest.skip(msg=f'{fit_engine} is not installed')
+            pytest.skip(msg=f"{fit_engine} is not installed")
 
     results = f.fit(x=[x1, x2, x3], y=[y1, y2, y3], weights=[weights, weights, weights])
     X = [x1, x2, x3]
@@ -159,31 +153,33 @@ def test_multi_fit2(fit_engine):
         assert result.n_pars == len(sp_sin_1.get_fit_parameters()) + len(
             sp_sin_2.get_fit_parameters()
         ) + len(sp_line.get_fit_parameters())
-        assert result.chi2 == pytest.approx(0, abs=1.5e-3 * (len(result.x) - result.n_pars))
+        assert result.chi2 == pytest.approx(
+            0, abs=1.5e-3 * (len(result.x) - result.n_pars)
+        )
         assert result.reduced_chi == pytest.approx(0, abs=1.5e-3)
         assert result.success
         assert np.all(result.x == X[idx])
         assert np.all(result.y_obs == Y[idx])
         assert result.y_calc == pytest.approx(F_real[idx](X[idx]), abs=1e-2)
-        assert result.residual == pytest.approx(F_ref[idx](X[idx]) - F_real[idx](X[idx]), abs=1e-2)
+        assert result.residual == pytest.approx(
+            F_ref[idx](X[idx]) - F_real[idx](X[idx]), abs=1e-2
+        )
 
 
-@pytest.mark.parametrize('fit_engine', [None, 'LMFit', 'Bumps', 'DFO'])
+@pytest.mark.parametrize("fit_engine", [None, "LMFit", "Bumps", "DFO"])
 def test_multi_fit_1D_2D(fit_engine):
     # Generate fit and reference objects
     ref_sin1D = AbsSin(0.2, np.pi)
     sp_sin1D = AbsSin(0.354, 3.05)
 
     ref_sin2D = AbsSin2D(0.3, 1.6)
-    sp_sin2D = AbsSin2D(0.1, 1.75)  # The fit is VERY sensitive to the initial values :-(
+    sp_sin2D = AbsSin2D(
+        0.1, 1.75
+    )  # The fit is VERY sensitive to the initial values :-(
 
     # Link the parameters
-    ref_sin2D.offset.make_dependent_on(
-        dependency_expression='ref_sin1', dependency_map={'ref_sin1': ref_sin1D.offset}
-    )
-    sp_sin2D.offset.make_dependent_on(
-        dependency_expression='sp_sin1', dependency_map={'sp_sin1': sp_sin1D.offset}
-    )
+    ref_sin2D.offset.make_dependent_on(dependency_expression="ref_sin1", dependency_map={"ref_sin1": ref_sin1D.offset})
+    sp_sin2D.offset.make_dependent_on(dependency_expression="sp_sin1", dependency_map={"sp_sin1": sp_sin1D.offset})
 
     # Generate data
     x1D = np.linspace(0.2, 3.8, 400)
@@ -201,7 +197,7 @@ def test_multi_fit_1D_2D(fit_engine):
         try:
             ff.switch_minimizer(fit_engine)
         except AttributeError:
-            pytest.skip(msg=f'{fit_engine} is not installed')
+            pytest.skip(msg=f"{fit_engine} is not installed")
 
     sp_sin1D.offset.fixed = False
     sp_sin1D.phase.fixed = False
@@ -212,14 +208,12 @@ def test_multi_fit_1D_2D(fit_engine):
         try:
             f.switch_minimizer(fit_engine)
         except AttributeError:
-            pytest.skip(msg=f'{fit_engine} is not installed')
+            pytest.skip(msg=f"{fit_engine} is not installed")
     try:
-        results = f.fit(
-            x=[x1D, x2D], y=[y1D, y2D], weights=[weights1D, weights2D], vectorized=True
-        )
+        results = f.fit(x=[x1D, x2D], y=[y1D, y2D], weights=[weights1D, weights2D], vectorized=True)
     except FitError as e:
-        if 'Unable to allocate' in str(e):
-            pytest.skip(msg='MemoryError - Matrix too large')
+        if "Unable to allocate" in str(e):
+            pytest.skip(msg="MemoryError - Matrix too large")
         else:
             raise e
 
@@ -231,10 +225,10 @@ def test_multi_fit_1D_2D(fit_engine):
         assert result.n_pars == len(sp_sin1D.get_fit_parameters()) + len(
             sp_sin2D.get_fit_parameters()
         )
-        if (
-            fit_engine != 'DFO'
-        ):  # DFO apparently does not fit well with even weights. Can't be bothered to fix
-            assert result.chi2 == pytest.approx(0, abs=1.5e-3 * (len(result.x) - result.n_pars))
+        if fit_engine != "DFO": # DFO apparently does not fit well with even weights. Can't be bothered to fix
+            assert result.chi2 == pytest.approx(
+                0, abs=1.5e-3 * (len(result.x) - result.n_pars)
+            )
             assert result.reduced_chi == pytest.approx(0, abs=1.5e-3)
             assert result.y_calc == pytest.approx(F_ref[idx](X[idx]), abs=1e-2)
             assert result.residual == pytest.approx(
@@ -243,3 +237,5 @@ def test_multi_fit_1D_2D(fit_engine):
         assert result.success
         assert np.all(result.x == X[idx])
         assert np.all(result.y_obs == Y[idx])
+
+
diff --git a/tests/package_test.py b/tests/package_test.py
new file mode 100644
index 00000000..1e54c8ce
--- /dev/null
+++ b/tests/package_test.py
@@ -0,0 +1,7 @@
+# SPDX-License-Identifier: BSD-3-Clause
+# Copyright (c) 2025 Easyscience contributors (https://github.com/EasyScience)
+import easyscience as pkg
+
+
+def test_has_version():
+    assert hasattr(pkg, '__version__') # noqa S101
diff --git a/tests/unit/base_classes/__init__.py b/tests/unit/base_classes/__init__.py
deleted file mode 100644
index b1990ec8..00000000
--- a/tests/unit/base_classes/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
diff --git a/tests/unit/fitting/__init__.py b/tests/unit/fitting/__init__.py
deleted file mode 100644
index b1990ec8..00000000
--- a/tests/unit/fitting/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
diff --git a/tests/unit/fitting/calculators/__init__.py b/tests/unit/fitting/calculators/__init__.py
deleted file mode 100644
index b1990ec8..00000000
--- a/tests/unit/fitting/calculators/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
diff --git a/tests/unit/fitting/minimizers/__init__.py b/tests/unit/fitting/minimizers/__init__.py
deleted file mode 100644
index b1990ec8..00000000
--- a/tests/unit/fitting/minimizers/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
diff --git a/tests/unit/global_object/__init__.py b/tests/unit/global_object/__init__.py
deleted file mode 100644
index b1990ec8..00000000
--- a/tests/unit/global_object/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
diff --git a/tests/unit/io/test_serializer_component.py b/tests/unit/io/test_serializer_component.py
deleted file mode 100644
index c4e21f49..00000000
--- a/tests/unit/io/test_serializer_component.py
+++ /dev/null
@@ -1,96 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from copy import deepcopy
-from typing import Type
-
-import numpy as np
-import pytest
-
-import easyscience
-from easyscience import DescriptorNumber
-from easyscience import Parameter
-
-dp_param_dict = {
-    'argnames': 'dp_kwargs, dp_cls',
-    'argvalues': (
-        [
-            {
-                '@module': DescriptorNumber.__module__,
-                '@class': DescriptorNumber.__name__,
-                '@version': easyscience.__version__,
-                'name': 'test',
-                'value': 1.0,
-                'variance': None,
-                'unit': 'dimensionless',
-                'description': '',
-                'url': '',
-                'display_name': 'test',
-            },
-            DescriptorNumber,
-        ],
-        [
-            {
-                '@module': Parameter.__module__,
-                '@class': Parameter.__name__,
-                '@version': easyscience.__version__,
-                'name': 'test',
-                'unit': 'km',
-                'value': 1.0,
-                'variance': 0.0,
-                'min': -np.inf,
-                'max': np.inf,
-                'fixed': False,
-                'url': 'https://www.boo.com',
-                'description': '',
-                'display_name': 'test',
-            },
-            Parameter,
-        ],
-    ),
-    'ids': ['DescriptorNumber', 'Parameter'],
-}
-
-_skip_opt = [[], None] + [k for k in dp_param_dict['argvalues'][0][0].keys() if k[0] != '@']
-skip_dict = {
-    'argnames': 'skip',
-    'argvalues': _skip_opt,
-    'ids': ['skip_' + str(opt) for opt in _skip_opt],
-}
-
-
-def check_dict(check, item):
-    if isinstance(check, dict) and isinstance(item, dict):
-        for key in check.keys():
-            assert key in item.keys()
-            check_dict(check[key], item[key])
-    else:
-        assert isinstance(item, type(check))
-        assert item == check
-
-
-@pytest.mark.parametrize(**skip_dict)
-@pytest.mark.parametrize(**dp_param_dict)
-def test_variable_as_dict_methods(dp_kwargs: dict, dp_cls: Type[DescriptorNumber], skip):
-    data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != '@'}
-
-    obj = dp_cls(**data_dict)
-
-    dp_kwargs = deepcopy(dp_kwargs)
-
-    if isinstance(skip, str):
-        del dp_kwargs[skip]
-
-    if not isinstance(skip, list):
-        skip = [skip]
-
-    enc = obj.as_dict(skip=skip)
-
-    expected_keys = set(dp_kwargs.keys())
-    obtained_keys = set(enc.keys())
-
-    dif = expected_keys.difference(obtained_keys)
-
-    assert len(dif) == 0
-
-    check_dict(dp_kwargs, enc)
diff --git a/tests/unit/legacy/__init__.py b/tests/unit/legacy/__init__.py
deleted file mode 100644
index b1990ec8..00000000
--- a/tests/unit/legacy/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
diff --git a/tests/unit/legacy/test_dict.py b/tests/unit/legacy/test_dict.py
deleted file mode 100644
index b1990ec8..00000000
--- a/tests/unit/legacy/test_dict.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
diff --git a/tests/unit/legacy/test_json.py b/tests/unit/legacy/test_json.py
deleted file mode 100644
index b1990ec8..00000000
--- a/tests/unit/legacy/test_json.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
diff --git a/tests/unit/legacy/test_xml.py b/tests/unit/legacy/test_xml.py
deleted file mode 100644
index b1990ec8..00000000
--- a/tests/unit/legacy/test_xml.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
diff --git a/tests/unit/models/__init__.py b/tests/unit/models/__init__.py
deleted file mode 100644
index b1990ec8..00000000
--- a/tests/unit/models/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
diff --git a/tests/unit/variable/__init__.py b/tests/unit/variable/__init__.py
deleted file mode 100644
index b1990ec8..00000000
--- a/tests/unit/variable/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
diff --git a/tests/unit/variable/test_descriptor_array.py b/tests/unit/variable/test_descriptor_array.py
deleted file mode 100644
index 73bb0857..00000000
--- a/tests/unit/variable/test_descriptor_array.py
+++ /dev/null
@@ -1,1807 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
-import numpy as np
-import pytest
-import scipp as sc
-from scipp import UnitError
-from scipp.testing import assert_identical
-
-from easyscience import DescriptorNumber
-from easyscience import global_object
-from easyscience.variable import DescriptorArray
-
-
-class TestDescriptorArray:
-    @pytest.fixture
-    def descriptor(self):
-        descriptor = DescriptorArray(
-            name='name',
-            value=[[1.0, 2.0], [3.0, 4.0]],
-            unit='m',
-            variance=[[0.1, 0.2], [0.3, 0.4]],
-            description='description',
-            url='url',
-            display_name='display_name',
-            parent=None,
-        )
-        return descriptor
-
-    @pytest.fixture
-    def descriptor_dimensionless(self):
-        descriptor = DescriptorArray(
-            name='name',
-            value=[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]],
-            unit='dimensionless',
-            variance=[[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]],
-            description='description',
-            url='url',
-            display_name='display_name',
-            parent=None,
-        )
-        return descriptor
-
-    @pytest.fixture
-    def clear(self):
-        global_object.map._clear()
-
-    def test_init(self, descriptor: DescriptorArray):
-        # When Then Expect
-        assert np.array_equal(descriptor._array.values, np.array([[1.0, 2.0], [3.0, 4.0]]))
-        assert descriptor._array.unit == 'm'
-        assert np.array_equal(descriptor._array.variances, np.array([[0.1, 0.2], [0.3, 0.4]]))
-
-        # From super
-        assert descriptor._name == 'name'
-        assert descriptor._description == 'description'
-        assert descriptor._url == 'url'
-        assert descriptor._display_name == 'display_name'
-
-    def test_init_sc_unit(self):
-        # When Then
-        descriptor = DescriptorArray(
-            name='name',
-            value=[[1.0, 2.0], [3.0, 4.0]],
-            unit=sc.units.Unit('m'),
-            variance=[[0.1, 0.2], [0.3, 0.4]],
-            description='description',
-            url='url',
-            display_name='display_name',
-            parent=None,
-        )
-
-        # Expect
-        assert np.array_equal(descriptor._array.values, np.array([[1.0, 2.0], [3.0, 4.0]]))
-        assert descriptor._array.unit == 'm'
-        assert np.array_equal(descriptor._array.variances, np.array([[0.1, 0.2], [0.3, 0.4]]))
-
-    def test_init_sc_unit_unknown(self):
-        # When Then Expect
-        with pytest.raises(UnitError):
-            DescriptorArray(
-                name='name',
-                value=[[1.0, 2.0], [3.0, 4.0]],
-                unit='unknown',
-                variance=[[0.1, 0.2], [0.3, 0.4]],
-                description='description',
-                url='url',
-                display_name='display_name',
-                parent=None,
-            )
-
-    @pytest.mark.parametrize('value', [True, 'string'])
-    def test_init_value_type_exception(self, value):
-        # When
-
-        # Then Expect
-        with pytest.raises(TypeError):
-            DescriptorArray(
-                name='name',
-                value=value,
-                unit='m',
-                variance=[[0.1, 0.2], [0.3, 0.4]],
-                description='description',
-                url='url',
-                display_name='display_name',
-                parent=None,
-            )
-
-    def test_init_variance_exception(self):
-        # When
-        variance = [[-0.1, -0.2], [-0.3, -0.4]]
-        # Then Expect
-        with pytest.raises(ValueError):
-            DescriptorArray(
-                name='name',
-                value=[[1.0, 2.0], [3.0, 4.0]],
-                unit='m',
-                variance=variance,
-                description='description',
-                url='url',
-                display_name='display_name',
-                parent=None,
-            )
-
-    # test from_scipp
-    def test_from_scipp(self):
-        # When
-        full_value = sc.array(dims=['row', 'column'], values=[[1, 2], [3, 4]], unit='m')
-        # Then
-        descriptor = DescriptorArray.from_scipp(name='name', full_value=full_value)
-
-        # Expect
-        assert np.array_equal(descriptor._array.values, [[1, 2], [3, 4]])
-        assert descriptor._array.unit == 'm'
-        assert descriptor._array.variances == None
-
-    # @pytest.mark.parametrize("full_value", [sc.array(values=[1,2], dimensions=["x"]), sc.array(values=[[1], [2]], dims=["x","y"]), object(), 1, "string"], ids=["1D", "2D", "object", "int", "string"])
-    # def test_from_scipp_type_exception(self, full_value):
-    #     # When Then Expect
-    #     with pytest.raises(TypeError):
-    #         DescriptorArray.from_scipp(name="name", full_value=full_value)
-
-    def test_get_full_value(self, descriptor: DescriptorArray):
-        # When Then Expect
-        other = sc.array(
-            dims=('dim0', 'dim1'),
-            values=[[1.0, 2.0], [3.0, 4.0]],
-            unit='m',
-            variances=[[0.1, 0.2], [0.3, 0.4]],
-        )
-        assert_identical(descriptor.full_value, other)
-
-    def test_set_full_value(self, descriptor: DescriptorArray):
-        with pytest.raises(AttributeError):
-            descriptor.full_value = sc.array(
-                dims=['row', 'column'], values=[[1, 2], [3, 4]], unit='s'
-            )
-
-    def test_unit(self, descriptor: DescriptorArray):
-        # When Then Expect
-        assert descriptor.unit == 'm'
-
-    def test_set_unit(self, descriptor: DescriptorArray):
-        with pytest.raises(AttributeError):
-            descriptor.unit = 's'
-
-    def test_convert_unit(self, descriptor: DescriptorArray):
-        # When  Then
-        descriptor.convert_unit('mm')
-
-        # Expect
-        assert descriptor._array.unit == 'mm'
-        assert np.array_equal(descriptor._array.values, [[1000, 2000], [3000, 4000]])
-        assert np.array_equal(descriptor._array.variances, [[100000, 200000], [300000, 400000]])
-
-    def test_variance(self, descriptor: DescriptorArray):
-        # When Then Expect
-        assert np.array_equal(descriptor._array.variances, np.array([[0.1, 0.2], [0.3, 0.4]]))
-
-    def test_set_variance(self, descriptor: DescriptorArray):
-        # When Then
-        descriptor.variance = [[0.2, 0.3], [0.4, 0.5]]
-
-        # Expect
-        assert np.array_equal(descriptor.variance, np.array([[0.2, 0.3], [0.4, 0.5]]))
-        assert np.array_equal(descriptor.error, np.sqrt(np.array([[0.2, 0.3], [0.4, 0.5]])))
-
-    def test_error(self, descriptor: DescriptorArray):
-        # When Then Expect
-        assert np.array_equal(descriptor.error, np.sqrt(np.array([[0.1, 0.2], [0.3, 0.4]])))
-
-    def test_set_error(self, descriptor: DescriptorArray):
-        # When Then
-        descriptor.error = np.sqrt(np.array([[0.2, 0.3], [0.4, 0.5]]))
-        # Expect
-        assert np.allclose(descriptor.error, np.sqrt(np.array([[0.2, 0.3], [0.4, 0.5]])))
-        assert np.allclose(descriptor.variance, np.array([[0.2, 0.3], [0.4, 0.5]]))
-
-    def test_value(self, descriptor: DescriptorArray):
-        # When Then Expect
-        assert np.array_equal(descriptor.value, np.array([[1, 2], [3, 4]]))
-
-    def test_set_value(self, descriptor: DescriptorArray):
-        # When Then
-        descriptor.value = [[0.2, 0.3], [0.4, 0.5]]
-        # Expect
-        assert np.array_equal(descriptor._array.values, np.array([[0.2, 0.3], [0.4, 0.5]]))
-
-    def test_repr(self, descriptor: DescriptorArray):
-        # When Then
-        repr_str = str(descriptor)
-
-        # Expect
-        assert (
-            repr_str
-            == "<DescriptorArray 'name': values=[[1. 2.], [3. 4.]], errors=[[0.3162 0.4472], [0.5477 0.6325]], unit=m>"
-        )
-
-    def test_copy(self, descriptor: DescriptorArray):
-        # When Then
-        descriptor_copy = descriptor.__copy__()
-
-        # Expect
-        assert type(descriptor_copy) == DescriptorArray
-        assert np.array_equal(descriptor_copy._array.values, descriptor._array.values)
-        assert descriptor_copy._array.unit == descriptor._array.unit
-
-    @pytest.mark.parametrize(
-        'unit_string, expected',
-        [('1e+9', 'dimensionless'), ('1000', 'dimensionless'), ('10dm^2', 'm^2')],
-        ids=['scientific_notation', 'numbers', 'unit_prefix'],
-    )
-    def test_base_unit(self, unit_string, expected):
-        # When
-        descriptor = DescriptorArray(name='name', value=[[1.0, 2.0], [3.0, 4.0]], unit=unit_string)
-
-        # Then
-        base_unit = descriptor._base_unit()
-
-        # Expect
-        assert base_unit == expected
-
-    @pytest.mark.parametrize(
-        'test, expected, raises_warning',
-        [
-            (
-                DescriptorNumber('test', 2, 'm', 0.01),
-                DescriptorArray(
-                    'test + name', [[3.0, 4.0], [5.0, 6.0]], 'm', [[0.11, 0.21], [0.31, 0.41]]
-                ),
-                True,
-            ),
-            (
-                DescriptorNumber('test', 1, 'cm', 10),
-                DescriptorArray(
-                    'test + name',
-                    [[1.01, 2.01], [3.01, 4.01]],
-                    'm',
-                    [[0.1010, 0.2010], [0.3010, 0.4010]],
-                ),
-                True,
-            ),
-            (
-                DescriptorArray('test', [[2.0, 3.0], [4.0, -5.0]], 'cm', [[1.0, 2.0], [3.0, 4.0]]),
-                DescriptorArray(
-                    'test + name',
-                    [[1.02, 2.03], [3.04, 3.95]],
-                    'm',
-                    [[0.1001, 0.2002], [0.3003, 0.4004]],
-                ),
-                False,
-            ),
-            (
-                DescriptorArray('test', [[2, 3], [4, -5]], 'cm'),
-                DescriptorArray(
-                    'test + name', [[1.02, 2.03], [3.04, 3.95]], 'm', [[0.1, 0.2], [0.3, 0.4]]
-                ),
-                False,
-            ),
-        ],
-        ids=[
-            'descriptor_number_regular',
-            'descriptor_number_unit_conversion',
-            'array_conversion',
-            'array_conversion_integer',
-        ],
-    )
-    def test_addition(self, descriptor: DescriptorArray, test, expected, raises_warning):
-        # When Then
-        if raises_warning:
-            with pytest.warns(UserWarning) as record:
-                result = descriptor + test
-            assert len(record) == 1
-            assert 'Correlations introduced' in record[0].message.args[0]
-        else:
-            result = descriptor + test
-        # Expect
-        assert type(result) == DescriptorArray
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor.unit == 'm'
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                [[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]],
-                DescriptorArray(
-                    'test',
-                    [[3.0, 5.0], [7.0, -1.0], [11.0, -2.0]],
-                    'dimensionless',
-                    [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]],
-                ),
-            ),
-            (
-                1,
-                DescriptorArray(
-                    'test',
-                    [[2.0, 3.0], [4.0, 5.0], [6.0, 7.0]],
-                    'dimensionless',
-                    [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]],
-                ),
-            ),
-        ],
-        ids=['list', 'number'],
-    )
-    def test_addition_dimensionless(
-        self, descriptor_dimensionless: DescriptorArray, test, expected
-    ):
-        # When Then
-        result = descriptor_dimensionless + test
-        # Expect
-        assert type(result) == DescriptorArray
-        assert np.array_equal(result.value, expected.value)
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor_dimensionless.unit == 'dimensionless'
-
-    @pytest.mark.parametrize(
-        'test, expected, raises_warning',
-        [
-            (
-                DescriptorNumber('test', 2, 'm', 0.01),
-                DescriptorArray(
-                    'test + name', [[3.0, 4.0], [5.0, 6.0]], 'm', [[0.11, 0.21], [0.31, 0.41]]
-                ),
-                True,
-            ),
-            (
-                DescriptorNumber('test', 1, 'cm', 10),
-                DescriptorArray(
-                    'test + name',
-                    [[101.0, 201.0], [301.0, 401.0]],
-                    'cm',
-                    [[1010.0, 2010.0], [3010.0, 4010.0]],
-                ),
-                True,
-            ),
-            (
-                DescriptorArray('test', [[2.0, 3.0], [4.0, -5.0]], 'cm', [[1.0, 2.0], [3.0, 4.0]]),
-                DescriptorArray(
-                    'test + name',
-                    [[102.0, 203.0], [304.0, 395.0]],
-                    'cm',
-                    [[1001.0, 2002.0], [3003.0, 4004.0]],
-                ),
-                False,
-            ),
-            (
-                DescriptorArray('test', [[2, 3], [4, -5]], 'cm'),
-                DescriptorArray(
-                    'test + name',
-                    [[102.0, 203.0], [304.0, 395.0]],
-                    'cm',
-                    [[1000.0, 2000.0], [3000.0, 4000.0]],
-                ),
-                False,
-            ),
-        ],
-        ids=[
-            'descriptor_number_regular',
-            'descriptor_number_unit_conversion',
-            'array_conversion',
-            'array_conversion_integer',
-        ],
-    )
-    def test_reverse_addition(self, descriptor: DescriptorArray, test, expected, raises_warning):
-        # When Then
-        if raises_warning:
-            with pytest.warns(UserWarning) as record:
-                result = test + descriptor
-            assert len(record) == 1
-            assert 'Correlations introduced' in record[0].message.args[0]
-        else:
-            result = test + descriptor
-        # Expect
-        assert type(result) == DescriptorArray
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor.unit == 'm'
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                [[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]],
-                DescriptorArray(
-                    'test',
-                    [[3.0, 5.0], [7.0, -1.0], [11.0, -2.0]],
-                    'dimensionless',
-                    [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]],
-                ),
-            ),
-            (
-                1,
-                DescriptorArray(
-                    'test',
-                    [[2.0, 3.0], [4.0, 5.0], [6.0, 7.0]],
-                    'dimensionless',
-                    [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]],
-                ),
-            ),
-        ],
-        ids=['list', 'number'],
-    )
-    def test_reverse_addition_dimensionless(
-        self, descriptor_dimensionless: DescriptorArray, test, expected
-    ):
-        # When Then
-        result = test + descriptor_dimensionless
-        # Expect
-        assert type(result) == DescriptorArray
-        assert np.array_equal(result.value, expected.value)
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor_dimensionless.unit == 'dimensionless'
-
-    @pytest.mark.parametrize(
-        'test, expected, raises_warning',
-        [
-            (
-                DescriptorNumber('test', 2, 'm', 0.01),
-                DescriptorArray(
-                    'test + name', [[-1.0, 0.0], [1.0, 2.0]], 'm', [[0.11, 0.21], [0.31, 0.41]]
-                ),
-                True,
-            ),
-            (
-                DescriptorNumber('test', 1, 'cm', 10),
-                DescriptorArray(
-                    'test + name',
-                    [[0.99, 1.99], [2.99, 3.99]],
-                    'm',
-                    [[0.1010, 0.2010], [0.3010, 0.4010]],
-                ),
-                True,
-            ),
-            (
-                DescriptorArray('test', [[2.0, 3.0], [4.0, -5.0]], 'cm', [[1.0, 2.0], [3.0, 4.0]]),
-                DescriptorArray(
-                    'test + name',
-                    [[0.98, 1.97], [2.96, 4.05]],
-                    'm',
-                    [[0.1001, 0.2002], [0.3003, 0.4004]],
-                ),
-                False,
-            ),
-            (
-                DescriptorArray('test', [[2, 3], [4, -5]], 'cm'),
-                DescriptorArray(
-                    'test + name',
-                    [[0.98, 1.97], [2.96, 4.05]],
-                    'm',
-                    [[0.100, 0.200], [0.300, 0.400]],
-                ),
-                False,
-            ),
-        ],
-        ids=[
-            'descriptor_number_regular',
-            'descriptor_number_unit_conversion',
-            'array_conversion',
-            'array_conversion_integer',
-        ],
-    )
-    def test_subtraction(self, descriptor: DescriptorArray, test, expected, raises_warning):
-        # When Then
-        if raises_warning:
-            with pytest.warns(UserWarning) as record:
-                result = descriptor - test
-            assert len(record) == 1
-            assert 'Correlations introduced' in record[0].message.args[0]
-        else:
-            result = descriptor - test
-        # Expect
-        assert type(result) == DescriptorArray
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor.unit == 'm'
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                [[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]],
-                DescriptorArray(
-                    'test',
-                    [[-1.0, -1.0], [-1.0, 9.0], [-1, 14.0]],
-                    'dimensionless',
-                    [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]],
-                ),
-            ),
-            (
-                1,
-                DescriptorArray(
-                    'test',
-                    [[0.0, 1.0], [2.0, 3.0], [4.0, 5.0]],
-                    'dimensionless',
-                    [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]],
-                ),
-            ),
-        ],
-        ids=['list', 'number'],
-    )
-    def test_subtraction_dimensionless(
-        self, descriptor_dimensionless: DescriptorArray, test, expected
-    ):
-        # When Then
-        result = descriptor_dimensionless - test
-        # Expect
-        assert type(result) == DescriptorArray
-        assert np.array_equal(result.value, expected.value)
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor_dimensionless.unit == 'dimensionless'
-
-    @pytest.mark.parametrize(
-        'test, expected, raises_warning',
-        [
-            (
-                DescriptorNumber('test', 2, 'm', 0.01),
-                DescriptorArray(
-                    'test + name', [[1.0, 0.0], [-1.0, -2.0]], 'm', [[0.11, 0.21], [0.31, 0.41]]
-                ),
-                True,
-            ),
-            (
-                DescriptorNumber('test', 1, 'cm', 10),
-                DescriptorArray(
-                    'test + name',
-                    [[-99.0, -199.0], [-299.0, -399.0]],
-                    'cm',
-                    [[1010.0, 2010.0], [3010.0, 4010.0]],
-                ),
-                True,
-            ),
-            (
-                DescriptorArray('test', [[2.0, 3.0], [4.0, -5.0]], 'cm', [[1.0, 2.0], [3.0, 4.0]]),
-                DescriptorArray(
-                    'test + name',
-                    [[-98.0, -197.0], [-296.0, -405.0]],
-                    'cm',
-                    [[1001.0, 2002.0], [3003.0, 4004.0]],
-                ),
-                False,
-            ),
-            (
-                DescriptorArray('test', [[2, 3], [4, -5]], 'cm'),
-                DescriptorArray(
-                    'test + name',
-                    [[-98.0, -197.0], [-296.0, -405.0]],
-                    'cm',
-                    [[1000.0, 2000.0], [3000.0, 4000.0]],
-                ),
-                False,
-            ),
-        ],
-        ids=[
-            'descriptor_number_regular',
-            'descriptor_number_unit_conversion',
-            'array_conversion',
-            'array_conversion_integer',
-        ],
-    )
-    def test_reverse_subtraction(
-        self, descriptor: DescriptorArray, test, expected, raises_warning
-    ):
-        # When Then
-        if raises_warning:
-            with pytest.warns(UserWarning) as record:
-                result = test - descriptor
-            assert len(record) == 1
-            assert 'Correlations introduced' in record[0].message.args[0]
-        else:
-            result = test - descriptor
-        # Expect
-        assert type(result) == DescriptorArray
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor.unit == 'm'
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                [[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]],
-                DescriptorArray(
-                    'test',
-                    [[1.0, 1.0], [1.0, -9.0], [1.0, -14.0]],
-                    'dimensionless',
-                    [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]],
-                ),
-            ),
-            (
-                1,
-                DescriptorArray(
-                    'test',
-                    [[0.0, -1.0], [-2.0, -3.0], [-4.0, -5.0]],
-                    'dimensionless',
-                    [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]],
-                ),
-            ),
-        ],
-        ids=['list', 'number'],
-    )
-    def test_reverse_subtraction_dimensionless(
-        self, descriptor_dimensionless: DescriptorArray, test, expected
-    ):
-        # When Then
-        result = test - descriptor_dimensionless
-        # Expect
-        assert type(result) == DescriptorArray
-        assert np.array_equal(result.value, expected.value)
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor_dimensionless.unit == 'dimensionless'
-
-    @pytest.mark.parametrize(
-        'test, expected, raises_warning',
-        [
-            (
-                DescriptorNumber('test', 2, 'm', 0.01),
-                DescriptorArray(
-                    'test * name', [[2.0, 4.0], [6.0, 8.0]], 'm^2', [[0.41, 0.84], [1.29, 1.76]]
-                ),
-                True,
-            ),
-            (
-                DescriptorNumber('test', 1, 'cm', 10),
-                DescriptorArray(
-                    'test * name',
-                    [[0.01, 0.02], [0.03, 0.04]],
-                    'm^2',
-                    [[0.00101, 0.00402], [0.00903, 0.01604]],
-                ),
-                True,
-            ),
-            (
-                DescriptorNumber('test', 1, 'kg', 10),
-                DescriptorArray(
-                    'test * name', [[1.0, 2.0], [3.0, 4.0]], 'kg*m', [[10.1, 40.2], [90.3, 160.4]]
-                ),
-                True,
-            ),
-            (
-                DescriptorArray('test', [[2.0, 3.0], [4.0, -5.0]], 'cm', [[1.0, 2.0], [3.0, 4.0]]),
-                DescriptorArray(
-                    'test * name',
-                    [[0.02, 0.06], [0.12, -0.2]],
-                    'm^2',
-                    [[0.00014, 0.00098], [0.00318, 0.0074]],
-                ),
-                False,
-            ),
-            (
-                DescriptorArray('test', [[2, 3], [4, -5]], 'cm'),
-                DescriptorArray(
-                    'test * name',
-                    [[0.02, 0.06], [0.12, -0.2]],
-                    'm^2',
-                    [
-                        [0.1 * 2**2 * 1e-4, 0.2 * 3**2 * 1e-4],
-                        [0.3 * 4**2 * 1e-4, 0.4 * 5**2 * 1e-4],
-                    ],
-                ),
-                False,
-            ),
-            (
-                [[2.0, 3.0], [4.0, -5.0]],
-                DescriptorArray(
-                    'test * name',
-                    [[2.0, 6.0], [12.0, -20.0]],
-                    'm',
-                    [[0.1 * 2**2, 0.2 * 3**2], [0.3 * 4**2, 0.4 * 5**2]],
-                ),
-                False,
-            ),
-            (
-                2.0,
-                DescriptorArray(
-                    'test * name',
-                    [[2.0, 4.0], [6.0, 8.0]],
-                    'm',
-                    [[0.1 * 2**2, 0.2 * 2**2], [0.3 * 2**2, 0.4 * 2**2]],
-                ),
-                False,
-            ),
-        ],
-        ids=[
-            'descriptor_number_regular',
-            'descriptor_number_unit_conversion',
-            'descriptor_number_different_units',
-            'array_conversion',
-            'array_conversion_integer',
-            'list',
-            'number',
-        ],
-    )
-    def test_multiplication(self, descriptor: DescriptorArray, test, expected, raises_warning):
-        # When Then
-        if raises_warning:
-            with pytest.warns(UserWarning) as record:
-                result = descriptor * test
-            assert len(record) == 1
-            assert 'Correlations introduced' in record[0].message.args[0]
-        else:
-            result = descriptor * test
-        # Expect
-        assert type(result) == DescriptorArray
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor.unit == 'm'
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                [[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]],
-                DescriptorArray(
-                    'test',
-                    [[2.0, 6.0], [12.0, -20.0], [30.0, -48.0]],
-                    'dimensionless',
-                    [[0.4, 1.8], [4.8, 10.0], [18.0, 38.4]],
-                ),
-            ),
-            (
-                1.5,
-                DescriptorArray(
-                    'test',
-                    [[1.5, 3.0], [4.5, 6.0], [7.5, 9.0]],
-                    'dimensionless',
-                    [[0.225, 0.45], [0.675, 0.9], [1.125, 1.35]],
-                ),
-            ),
-        ],
-        ids=['list', 'number'],
-    )
-    def test_multiplication_dimensionless(
-        self, descriptor_dimensionless: DescriptorArray, test, expected
-    ):
-        # When Then
-        result = descriptor_dimensionless * test
-        # Expect
-        assert type(result) == DescriptorArray
-        assert np.array_equal(result.value, expected.value)
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor_dimensionless.unit == 'dimensionless'
-
-    @pytest.mark.parametrize(
-        'test, expected, raises_warning',
-        [
-            (
-                DescriptorNumber('test', 2, 'm', 0.01),
-                DescriptorArray(
-                    'test * name', [[2.0, 4.0], [6.0, 8.0]], 'm^2', [[0.41, 0.84], [1.29, 1.76]]
-                ),
-                True,
-            ),
-            (
-                DescriptorNumber('test', 1, 'cm', 10),
-                DescriptorArray(
-                    'test * name',
-                    [[100.0, 200.0], [300.0, 400.0]],
-                    'cm^2',
-                    [[101000.0, 402000.0], [903000.0, 1604000.0]],
-                ),
-                True,
-            ),
-            (
-                DescriptorNumber('test', 1, 'kg', 10),
-                DescriptorArray(
-                    'test * name', [[1.0, 2.0], [3.0, 4.0]], 'kg*m', [[10.1, 40.2], [90.3, 160.4]]
-                ),
-                True,
-            ),
-            (
-                DescriptorArray('test', [[2.0, 3.0], [4.0, -5.0]], 'cm', [[1.0, 2.0], [3.0, 4.0]]),
-                DescriptorArray(
-                    'test * name',
-                    [[200.0, 600.0], [1200.0, -2000.0]],
-                    'cm^2',
-                    [[14000.0, 98000.0], [318000.0, 740000.0]],
-                ),
-                False,
-            ),
-            (
-                DescriptorArray('test', [[2, 3], [4, -5]], 'cm'),
-                DescriptorArray(
-                    'test * name',
-                    [[200.0, 600.0], [1200.0, -2000.0]],
-                    'cm^2',
-                    [[0.1 * 2**2 * 1e4, 0.2 * 3**2 * 1e4], [0.3 * 4**2 * 1e4, 0.4 * 5**2 * 1e4]],
-                ),
-                False,
-            ),
-            (
-                [[2.0, 3.0], [4.0, -5.0]],
-                DescriptorArray(
-                    'test * name',
-                    [[2.0, 6.0], [12.0, -20.0]],
-                    'm',
-                    [[0.1 * 2**2, 0.2 * 3**2], [0.3 * 4**2, 0.4 * 5**2]],
-                ),
-                False,
-            ),
-            (
-                2.0,
-                DescriptorArray(
-                    'test * name',
-                    [[2.0, 4.0], [6.0, 8.0]],
-                    'm',
-                    [[0.1 * 2**2, 0.2 * 2**2], [0.3 * 2**2, 0.4 * 2**2]],
-                ),
-                False,
-            ),
-        ],
-        ids=[
-            'descriptor_number_regular',
-            'descriptor_number_unit_conversion',
-            'descriptor_number_different_units',
-            'array_conversion',
-            'array_conversion_integer',
-            'list',
-            'number',
-        ],
-    )
-    def test_reverse_multiplication(
-        self, descriptor: DescriptorArray, test, expected, raises_warning
-    ):
-        # When Then
-        if raises_warning:
-            with pytest.warns(UserWarning) as record:
-                result = test * descriptor
-            assert len(record) == 1
-            assert 'Correlations introduced' in record[0].message.args[0]
-        else:
-            result = test * descriptor
-        # Expect
-        assert type(result) == DescriptorArray
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor.unit == 'm'
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                [[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]],
-                DescriptorArray(
-                    'test',
-                    [[2.0, 6.0], [12.0, -20.0], [30.0, -48.0]],
-                    'dimensionless',
-                    [[0.4, 1.8], [4.8, 10.0], [18.0, 38.4]],
-                ),
-            ),
-            (
-                1.5,
-                DescriptorArray(
-                    'test',
-                    [[1.5, 3.0], [4.5, 6.0], [7.5, 9.0]],
-                    'dimensionless',
-                    [[0.225, 0.45], [0.675, 0.9], [1.125, 1.35]],
-                ),
-            ),
-        ],
-        ids=['list', 'number'],
-    )
-    def test_reverse_multiplication_dimensionless(
-        self, descriptor_dimensionless: DescriptorArray, test, expected
-    ):
-        # When Then
-        result = test * descriptor_dimensionless
-        # Expect
-        assert type(result) == DescriptorArray
-        assert np.array_equal(result.value, expected.value)
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor_dimensionless.unit == 'dimensionless'
-
-    @pytest.mark.parametrize(
-        'test, expected, raises_warning',
-        [
-            (
-                DescriptorNumber('test', 2, 'm', 0.01),
-                DescriptorArray(
-                    'name / test',
-                    [[1.0 / 2.0, 2.0 / 2.0], [3.0 / 2.0, 4.0 / 2.0]],
-                    'dimensionless',
-                    [
-                        [
-                            (0.1 + 0.01 * 1.0**2 / 2.0**2) / 2.0**2,
-                            (0.2 + 0.01 * 2.0**2 / 2.0**2) / 2.0**2,
-                        ],
-                        [
-                            (0.3 + 0.01 * 3.0**2 / 2.0**2) / 2.0**2,
-                            (0.4 + 0.01 * 4.0**2 / 2.0**2) / 2.0**2,
-                        ],
-                    ],
-                ),
-                True,
-            ),
-            (
-                DescriptorNumber('test', 1, 'cm', 10),
-                DescriptorArray(
-                    'name / test',
-                    [[100.0, 200.0], [300.0, 400.0]],
-                    'dimensionless',
-                    [
-                        [
-                            (0.1 + 10 * 1.0**2 / 1.0**2) / 1.0**2 * 1e4,
-                            (0.2 + 10 * 2.0**2 / 1.0**2) / 1.0**2 * 1e4,
-                        ],
-                        [
-                            (0.3 + 10 * 3.0**2 / 1.0**2) / 1.0**2 * 1e4,
-                            (0.4 + 10 * 4.0**2 / 1.0**2) / 1.0**2 * 1e4,
-                        ],
-                    ],
-                ),
-                True,
-            ),
-            (
-                DescriptorNumber('test', 1, 'kg', 10),
-                DescriptorArray(
-                    'name / test',
-                    [[1.0, 2.0], [3.0, 4.0]],
-                    'm/kg',
-                    [
-                        [
-                            (0.1 + 10 * 1.0**2 / 1.0**2) / 1.0**2,
-                            (0.2 + 10 * 2.0**2 / 1.0**2) / 1.0**2,
-                        ],
-                        [
-                            (0.3 + 10 * 3.0**2 / 1.0**2) / 1.0**2,
-                            (0.4 + 10 * 4.0**2 / 1.0**2) / 1.0**2,
-                        ],
-                    ],
-                ),
-                True,
-            ),
-            (
-                DescriptorArray(
-                    'test', [[2.0, 3.0], [4.0, -5.0]], 'cm^2', [[1.0, 2.0], [3.0, 4.0]]
-                ),
-                DescriptorArray(
-                    'name / test',
-                    [[1 / 2 * 1e4, 2 / 3 * 1e4], [3.0 / 4.0 * 1e4, -4.0 / 5.0 * 1e4]],
-                    '1/m',
-                    [
-                        [
-                            (0.1 + 1.0 * 1.0**2 / 2.0**2) / 2.0**2 * 1e8,
-                            (0.2 + 2.0 * 2.0**2 / 3.0**2) / 3.0**2 * 1e8,
-                        ],
-                        [
-                            (0.3 + 3.0 * 3.0**2 / 4.0**2) / 4.0**2 * 1e8,
-                            (0.4 + 4.0 * 4.0**2 / 5.0**2) / 5.0**2 * 1e8,
-                        ],
-                    ],
-                ),
-                False,
-            ),
-            (
-                DescriptorArray('test', [[2, 3], [4, -5]], 'cm^2'),
-                DescriptorArray(
-                    'name / test',
-                    [[1 / 2 * 1e4, 2 / 3 * 1e4], [3.0 / 4.0 * 1e4, -4.0 / 5.0 * 1e4]],
-                    '1/m',
-                    [
-                        [(0.1) / 2.0**2 * 1e8, (0.2) / 3.0**2 * 1e8],
-                        [(0.3) / 4.0**2 * 1e8, (0.4) / 5.0**2 * 1e8],
-                    ],
-                ),
-                False,
-            ),
-            (
-                [[2.0, 3.0], [4.0, -5.0]],
-                DescriptorArray(
-                    'name / name',
-                    [[0.5, 2.0 / 3.0], [3.0 / 4.0, -4 / 5]],
-                    'm',
-                    [[0.1 / 2**2, 0.2 / 3.0**2], [0.3 / 4**2, 0.4 / 5.0**2]],
-                ),
-                False,
-            ),
-            (
-                2.0,
-                DescriptorArray(
-                    'name / test',
-                    [[0.5, 1.0], [3.0 / 2.0, 2.0]],
-                    'm',
-                    [[0.1 / 2.0**2, 0.2 / 2.0**2], [0.3 / 2.0**2, 0.4 / 2.0**2]],
-                ),
-                False,
-            ),
-        ],
-        ids=[
-            'descriptor_number_regular',
-            'descriptor_number_unit_conversion',
-            'descriptor_number_different_units',
-            'array_conversion',
-            'array_conversion_integer',
-            'list',
-            'number',
-        ],
-    )
-    def test_division(self, descriptor: DescriptorArray, test, expected, raises_warning):
-        # When Then
-        if raises_warning:
-            with pytest.warns(UserWarning) as record:
-                result = descriptor / test
-            assert len(record) == 1
-            assert 'Correlations introduced' in record[0].message.args[0]
-        else:
-            result = descriptor / test
-        # Expect
-        assert type(result) == DescriptorArray
-        assert result.name == result.unique_name
-        assert np.allclose(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor.unit == 'm'
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                [[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]],
-                DescriptorArray(
-                    'test',
-                    [[1.0 / 2.0, 2.0 / 3.0], [3.0 / 4.0, -4.0 / 5.0], [5.0 / 6.0, -6.0 / 8.0]],
-                    'dimensionless',
-                    [
-                        [0.1 / 2.0**2, 0.2 / 3.0**2],
-                        [0.3 / 4.0**2, 0.4 / 5.0**2],
-                        [0.5 / 6.0**2, 0.6 / 8.0**2],
-                    ],
-                ),
-            ),
-            (
-                2,
-                DescriptorArray(
-                    'test',
-                    [[1.0 / 2.0, 2.0 / 2.0], [3.0 / 2.0, 4.0 / 2.0], [5.0 / 2.0, 6.0 / 2.0]],
-                    'dimensionless',
-                    [
-                        [0.1 / 2.0**2, 0.2 / 2.0**2],
-                        [0.3 / 2.0**2, 0.4 / 2.0**2],
-                        [0.5 / 2.0**2, 0.6 / 2.0**2],
-                    ],
-                ),
-            ),
-        ],
-        ids=['list', 'number'],
-    )
-    def test_division_dimensionless(
-        self, descriptor_dimensionless: DescriptorArray, test, expected
-    ):
-        # When Then
-        result = descriptor_dimensionless / test
-        # Expect
-        assert type(result) == DescriptorArray
-        assert np.allclose(result.value, expected.value)
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor_dimensionless.unit == 'dimensionless'
-
-    @pytest.mark.parametrize(
-        'test, expected, raises_warning',
-        [
-            (
-                DescriptorNumber('test', 2, 'm', 0.01),
-                DescriptorArray(
-                    'test / name',
-                    [[2.0, 1.0], [2.0 / 3.0, 0.5]],
-                    'dimensionless',
-                    [
-                        [0.41, 0.0525],
-                        [
-                            (0.01 + 0.3 * 2**2 / 3.0**2) / 3.0**2,
-                            (0.01 + 0.4 * 2**2 / 4.0**2) / 4.0**2,
-                        ],
-                    ],
-                ),
-                True,
-            ),
-            (
-                DescriptorNumber('test', 1, 'cm', 10),
-                DescriptorArray(
-                    'test / name',
-                    [[1.0 / 100.0, 1.0 / 200.0], [1.0 / 300.0, 1.0 / 400.0]],
-                    'dimensionless',
-                    [
-                        [1.01e-3, (1e-3 + 0.2 * 0.01**2 / 2**2) / 2**2],
-                        [
-                            (1e-3 + 0.3 * 0.01**2 / 3**2) / 3**2,
-                            (1e-3 + 0.4 * 0.01**2 / 4**2) / 4**2,
-                        ],
-                    ],
-                ),
-                True,
-            ),
-            (
-                DescriptorNumber('test', 1, 'kg', 10),
-                DescriptorArray(
-                    'test / name',
-                    [[1.0, 0.5], [1.0 / 3.0, 0.25]],
-                    'kg/m',
-                    [
-                        [10.1, (10 + 0.2 * 1 / 2**2) / 2**2],
-                        [(10 + 0.3 * 1 / 3**2) / 3**2, (10 + 0.4 * 1 / 4**2) / 4**2],
-                    ],
-                ),
-                True,
-            ),
-            (
-                DescriptorArray(
-                    'test', [[2.0, 3.0], [4.0, -5.0]], 'cm^2', [[1.0, 2.0], [3.0, 4.0]]
-                ),
-                DescriptorArray(
-                    'test / name',
-                    [[2e-4, 1.5e-4], [4.0 / 3.0 * 1e-4, -1.25e-4]],
-                    'm',
-                    [
-                        [1.4e-8, 6.125e-9],
-                        [
-                            (3.0e-8 + 0.3 * (0.0004) ** 2 / 3**2) / 3**2,
-                            (4.0e-8 + 0.4 * (0.0005) ** 2 / 4**2) / 4**2,
-                        ],
-                    ],
-                ),
-                False,
-            ),
-            (
-                DescriptorArray('test', [[2, 3], [4, -5]], 'cm^2'),
-                DescriptorArray(
-                    'test / name',
-                    [[2e-4, 1.5e-4], [4.0 / 3.0 * 1e-4, -1.25e-4]],
-                    'm',
-                    [
-                        [
-                            (0.1 * 2.0**2 / 1.0**2) / 1.0**2 * 1e-8,
-                            (0.2 * 3.0**2 / 2.0**2) / 2.0**2 * 1e-8,
-                        ],
-                        [
-                            (0.3 * 4.0**2 / 3.0**2) / 3.0**2 * 1e-8,
-                            (0.4 * 5.0**2 / 4.0**2) / 4.0**2 * 1e-8,
-                        ],
-                    ],
-                ),
-                False,
-            ),
-            (
-                [[2.0, 3.0], [4.0, -5.0]],
-                DescriptorArray(
-                    'test / name',
-                    [[2, 1.5], [4.0 / 3.0, -1.25]],
-                    '1/m',
-                    [
-                        [0.1 * 2**2 / 1**4, 0.2 * 3.0**2 / 2.0**4],
-                        [0.3 * 4**2 / 3**4, 0.4 * 5.0**2 / 4.0**4],
-                    ],
-                ),
-                False,
-            ),
-            (
-                2.0,
-                DescriptorArray(
-                    'test / name',
-                    [[2, 1.0], [2.0 / 3.0, 0.5]],
-                    '1/m',
-                    [
-                        [0.1 * 2**2 / 1**4, 0.2 * 2.0**2 / 2.0**4],
-                        [0.3 * 2**2 / 3**4, 0.4 * 2.0**2 / 4.0**4],
-                    ],
-                ),
-                False,
-            ),
-        ],
-        ids=[
-            'descriptor_number_regular',
-            'descriptor_number_unit_conversion',
-            'descriptor_number_different_units',
-            'array_conversion',
-            'array_conversion_integer',
-            'list',
-            'number',
-        ],
-    )
-    def test_reverse_division(self, descriptor: DescriptorArray, test, expected, raises_warning):
-        # When Then
-        if raises_warning:
-            with pytest.warns(UserWarning) as record:
-                result = test / descriptor
-            assert len(record) == 1
-            assert 'Correlations introduced' in record[0].message.args[0]
-        else:
-            result = test / descriptor
-        # Expect
-        assert type(result) == DescriptorArray
-        assert result.name == result.unique_name
-        assert np.allclose(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor.unit == 'm'
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                [[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]],
-                DescriptorArray(
-                    'test',
-                    [[2.0 / 1.0, 3.0 / 2.0], [4.0 / 3.0, -5.0 / 4.0], [6.0 / 5.0, -8.0 / 6.0]],
-                    'dimensionless',
-                    [
-                        [0.1 * 2.0**2, 0.2 * 3.0**2 / 2**4],
-                        [0.3 * 4.0**2 / 3.0**4, 0.4 * 5.0**2 / 4**4],
-                        [0.5 * 6.0**2 / 5**4, 0.6 * 8.0**2 / 6**4],
-                    ],
-                ),
-            ),
-            (
-                2,
-                DescriptorArray(
-                    'test',
-                    [[2.0, 1.0], [2.0 / 3.0, 0.5], [2.0 / 5.0, 1.0 / 3.0]],
-                    'dimensionless',
-                    [
-                        [0.1 * 2.0**2, 0.2 / 2**2],
-                        [0.3 * 2**2 / 3**4, 0.4 * 2**2 / 4**4],
-                        [0.5 * 2**2 / 5**4, 0.6 * 2**2 / 6**4],
-                    ],
-                ),
-            ),
-        ],
-        ids=['list', 'number'],
-    )
-    def test_reverse_division_dimensionless(
-        self, descriptor_dimensionless: DescriptorArray, test, expected
-    ):
-        # When Then
-        result = test / descriptor_dimensionless
-        # Expect
-        assert type(result) == DescriptorArray
-        assert np.allclose(result.value, expected.value)
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor_dimensionless.unit == 'dimensionless'
-
-    @pytest.mark.parametrize(
-        'test',
-        [
-            [[2.0, 3.0], [4.0, -5.0], [6.0, 0.0]],
-            0.0,
-            DescriptorNumber('test', 0, 'cm', 10),
-            DescriptorArray(
-                'test',
-                [[1.5, 0.0], [4.5, 6.0], [7.5, 9.0]],
-                'dimensionless',
-                [[0.225, 0.45], [0.675, 0.9], [1.125, 1.35]],
-            ),
-        ],
-        ids=['list', 'number', 'DescriptorNumber', 'DescriptorArray'],
-    )
-    def test_division_exception(self, descriptor_dimensionless: DescriptorArray, test):
-        # When Then
-        with pytest.raises(ZeroDivisionError):
-            descriptor_dimensionless / test
-
-        # Also test reverse division where `self` is a DescriptorArray with a zero
-        zero_descriptor = DescriptorArray(
-            'test',
-            [[1.5, 0.0], [4.5, 6.0], [7.5, 0.0]],
-            'dimensionless',
-            [[0.225, 0.45], [0.675, 0.9], [1.125, 1.35]],
-        )
-        with pytest.raises(ZeroDivisionError):
-            test / zero_descriptor
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                DescriptorNumber('test', 2, 'dimensionless'),
-                DescriptorArray(
-                    'test ** name',
-                    [[1.0, 4.0], [9.0, 16.0]],
-                    'm^2',
-                    [[4 * 0.1 * 1, 4 * 0.2 * 2**2], [4 * 0.3 * 3**2, 4 * 0.4 * 4**2]],
-                ),
-            ),
-            (
-                DescriptorNumber('test', 3, 'dimensionless'),
-                DescriptorArray(
-                    'test ** name',
-                    [[1.0, 8.0], [27, 64.0]],
-                    'm^3',
-                    [[9 * 0.1, 9 * 0.2 * 2**4], [9 * 0.3 * 3**4, 9 * 0.4 * 4**4]],
-                ),
-            ),
-            (
-                DescriptorNumber('test', 0.0, 'dimensionless'),
-                DescriptorArray(
-                    'test ** name',
-                    [[1.0, 1.0], [1.0, 1.0]],
-                    'dimensionless',
-                    [[0.0, 0.0], [0.0, 0.0]],
-                ),
-            ),
-            (
-                0.0,
-                DescriptorArray(
-                    'test ** name',
-                    [[1.0, 1.0], [1.0, 1.0]],
-                    'dimensionless',
-                    [[0.0, 0.0], [0.0, 0.0]],
-                ),
-            ),
-        ],
-        ids=[
-            'descriptor_number_squared',
-            'descriptor_number_cubed',
-            'descriptor_number_zero',
-            'number_zero',
-        ],
-    )
-    def test_power(self, descriptor: DescriptorArray, test, expected):
-        # When Then
-        result = descriptor**test
-        # Expect
-        assert type(result) == DescriptorArray
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor.unit == 'm'
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                DescriptorNumber('test', 0.1, 'dimensionless'),
-                DescriptorArray(
-                    'test ** name',
-                    [[1, 2**0.1], [3**0.1, 4**0.1], [5**0.1, 6**0.1]],
-                    'dimensionless',
-                    [
-                        [0.1**2 * 0.1 * 1, 0.1**2 * 0.2 * 2 ** (-1.8)],
-                        [0.1**2 * 0.3 * 3 ** (-1.8), 0.1**2 * 0.4 * 4 ** (-1.8)],
-                        [0.1**2 * 0.5 * 5 ** (-1.8), 0.1**2 * 0.6 * 6 ** (-1.8)],
-                    ],
-                ),
-            ),
-            (
-                DescriptorNumber('test', 2.0, 'dimensionless'),
-                DescriptorArray(
-                    'test ** name',
-                    [[1.0, 4.0], [9.0, 16.0], [25.0, 36.0]],
-                    'dimensionless',
-                    [[0.4, 3.2], [10.8, 25.6], [50.0, 86.4]],
-                ),
-            ),
-        ],
-        ids=['descriptor_number_fractional', 'descriptor_number_integer'],
-    )
-    def test_power_dimensionless(self, descriptor_dimensionless: DescriptorArray, test, expected):
-        # When Then
-        result = descriptor_dimensionless**test
-        # Expect
-        assert type(result) == DescriptorArray
-        assert result.name == result.unique_name
-        assert np.allclose(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor_dimensionless.unit == 'dimensionless'
-
-    @pytest.mark.parametrize(
-        'test, exception',
-        [
-            (DescriptorNumber('test', 2, 'm'), UnitError),
-            (DescriptorNumber('test', 2, 'dimensionless', 10), ValueError),
-            (DescriptorNumber('test', np.nan, 'dimensionless'), UnitError),
-            (DescriptorNumber('test', np.nan, 'dimensionless'), UnitError),
-            (DescriptorNumber('test', 1.5, 'dimensionless'), UnitError),
-            (
-                DescriptorNumber('test', 0.5, 'dimensionless'),
-                UnitError,
-            ),  # Square roots are not legal
-        ],
-        ids=[
-            'units',
-            'variance',
-            'scipp_nan',
-            'nan_result',
-            'non_integer_exponent_on_units',
-            'square_root_on_units',
-        ],
-    )
-    def test_power_exception(self, descriptor: DescriptorArray, test, exception):
-        # When Then
-        with pytest.raises(exception):
-            result = descriptor**2**test
-        with pytest.raises(ValueError):
-            # Exponentiation with an array does not make sense
-            test**descriptor
-
-    @pytest.mark.parametrize(
-        'test',
-        [DescriptorNumber('test', 2, 's'), DescriptorArray('test', [[1, 2], [3, 4]], 's')],
-        ids=['add_array_to_unit', 'incompatible_units'],
-    )
-    def test_addition_exception(self, descriptor: DescriptorArray, test):
-        # When Then Expect
-        with pytest.raises(UnitError):
-            result = descriptor + test
-        with pytest.raises(UnitError):
-            result_reverse = test + descriptor
-
-    @pytest.mark.parametrize(
-        'test',
-        [DescriptorNumber('test', 2, 's'), DescriptorArray('test', [[1, 2], [3, 4]], 's')],
-        ids=['add_array_to_unit', 'incompatible_units'],
-    )
-    def test_sub_exception(self, descriptor: DescriptorArray, test):
-        # When Then Expect
-        with pytest.raises(UnitError):
-            result = descriptor - test
-        with pytest.raises(UnitError):
-            result_reverse = test - descriptor
-
-    @pytest.mark.parametrize(
-        'function',
-        [np.sin, np.cos, np.exp, np.add, np.multiply],
-        ids=['sin', 'cos', 'exp', 'add', 'multiply'],
-    )
-    def test_numpy_ufuncs_exception(self, descriptor_dimensionless, function):
-        ((np.add, np.array([[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]])),)
-        """
-        Not implemented ufuncs should return NotImplemented.
-        """
-        test = np.array([[1, 2], [3, 4]])
-        with pytest.raises(TypeError) as e:
-            function(descriptor_dimensionless, test)
-        assert 'returned NotImplemented from' in str(e)
-
-    def test_negation(self, descriptor):
-        # When
-        # Then
-        result = -descriptor
-
-        # Expect
-        expected = DescriptorArray(
-            name='name',
-            value=[[-1.0, -2.0], [-3.0, -4.0]],
-            unit='m',
-            variance=[[0.1, 0.2], [0.3, 0.4]],
-            description='description',
-            url='url',
-            display_name='display_name',
-            parent=None,
-        )
-        assert type(result) == DescriptorArray
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.allclose(result.variance, expected.variance)
-        assert descriptor.unit == 'm'
-
-    def test_abs(self, descriptor):
-        # When
-        negated = DescriptorArray(
-            name='name',
-            value=[[-1.0, -2.0], [-3.0, -4.0]],
-            unit='m',
-            variance=[[0.1, 0.2], [0.3, 0.4]],
-            description='description',
-            url='url',
-            display_name='display_name',
-            parent=None,
-        )
-
-        # Then
-        result = abs(negated)
-
-        # Expect
-        assert type(result) == DescriptorArray
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value, descriptor.value)
-        assert result.unit == descriptor.unit
-        assert np.allclose(result.variance, descriptor.variance)
-        assert descriptor.unit == 'm'
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                DescriptorArray(
-                    'test + name', [[3.0, 4.0], [5.0, 6.0]], 'm', [[0.11, 0.21], [0.31, 0.41]]
-                ),
-                DescriptorNumber('test', 9, 'm', 0.52),
-            ),
-            (
-                DescriptorArray(
-                    'test + name',
-                    [[101.0, 201.0], [301.0, 401.0]],
-                    'dimensionless',
-                    [[1010.0, 2010.0], [3010.0, 4010.0]],
-                ),
-                DescriptorNumber('test', 502.0, 'dimensionless', 5020.0),
-            ),
-            (
-                DescriptorArray('test', np.ones((9, 9)), 'dimensionless', np.ones((9, 9))),
-                DescriptorNumber('test', 9.0, 'dimensionless', 9.0),
-            ),
-            (
-                DescriptorArray('test', np.ones((3, 3, 3)), 'dimensionless', np.ones((3, 3, 3))),
-                DescriptorArray(
-                    'test',
-                    [3.0, 3.0, 3.0],
-                    'dimensionless',
-                    [
-                        3.0,
-                        3.0,
-                        3.0,
-                    ],
-                    dimensions=['dim2'],
-                ),
-            ),
-            (
-                DescriptorArray('test', [[2.0]], 'dimensionless'),
-                DescriptorNumber('test', 2.0, 'dimensionless'),
-            ),
-        ],
-        ids=['2d_unit', '2d_dimensionless', '2d_large', '3d_dimensionless', '1d_dimensionless'],
-    )
-    def test_trace(self, test: DescriptorArray, expected: DescriptorNumber):
-        result = test.trace()
-        assert type(result) == type(expected)
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value, expected.value)
-        assert result.unit == expected.unit
-        if test.variance is not None:
-            assert np.allclose(result.variance, expected.variance)
-        if isinstance(expected, DescriptorArray):
-            assert np.all(result.full_value.dims == expected.full_value.dims)
-
-    @pytest.mark.parametrize(
-        'test, expected, dimensions',
-        [
-            (
-                DescriptorArray(
-                    'test', np.ones((3, 3, 4, 5)), 'dimensionless', np.ones((3, 3, 4, 5))
-                ),
-                DescriptorArray(
-                    'test',
-                    3 * np.ones((3, 4)),
-                    'dimensionless',
-                    3 * np.ones((3, 4)),
-                    dimensions=['dim0', 'dim2'],
-                ),
-                ('dim1', 'dim3'),
-            )
-        ],
-        ids=['4d'],
-    )
-    def test_trace_select_dimensions(
-        self, test: DescriptorArray, expected: DescriptorNumber, dimensions
-    ):
-        result = test.trace(dimension1=dimensions[0], dimension2=dimensions[1])
-        assert type(result) == type(expected)
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value.shape, expected.value.shape)
-        assert np.array_equal(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.all(result.full_value.dims == expected.full_value.dims)
-
-    @pytest.mark.parametrize(
-        'test,dimensions,message',
-        [
-            (
-                DescriptorArray('test', np.ones((3, 3, 3)), 'dimensionless', np.ones((3, 3, 3))),
-                ('dim0', None),
-                'Either both or none',
-            ),
-            (
-                DescriptorArray('test', np.ones((3, 3, 3)), 'dimensionless', np.ones((3, 3, 3))),
-                ('dim0', 'dim0'),
-                'must be different',
-            ),
-            (
-                DescriptorArray('test', np.ones((3, 3, 3)), 'dimensionless', np.ones((3, 3, 3))),
-                ('dim0', 'dim1337'),
-                'does not exist',
-            ),
-        ],
-        ids=['one_defined_dimension', 'same_dimension', 'invalid_dimension'],
-    )
-    def test_trace_exception(self, test: DescriptorArray, dimensions, message):
-        with pytest.raises(ValueError) as e:
-            test.trace(dimension1=dimensions[0], dimension2=dimensions[1])
-        assert message in str(e)
-
-    def test_slicing(self, descriptor: DescriptorArray):
-        # When
-        first_value = descriptor['dim0', 0]
-        last_value = descriptor['dim0', -1]
-        second_array = descriptor['dim1', :]
-
-        # Then
-        assert type(first_value) == DescriptorArray
-        assert type(last_value) == DescriptorArray
-        assert type(second_array) == DescriptorArray
-
-        assert first_value.name != descriptor.unique_name
-        assert last_value.name != descriptor.unique_name
-        assert second_array.name != descriptor.unique_name
-
-        assert np.array_equal(
-            first_value.full_value.values, descriptor.full_value['dim0', 0].values
-        )
-        assert np.array_equal(
-            last_value.full_value.values, descriptor.full_value['dim0', -1].values
-        )
-        assert np.array_equal(
-            second_array.full_value.values, descriptor.full_value['dim1', :].values
-        )
-
-        assert np.array_equal(
-            first_value.full_value.variances, descriptor.full_value['dim0', 0].variances
-        )
-        assert np.array_equal(
-            last_value.full_value.variances, descriptor.full_value['dim0', -1].variances
-        )
-        assert np.array_equal(
-            second_array.full_value.variances, descriptor.full_value['dim1', :].variances
-        )
-
-        assert np.array_equal(first_value.full_value.unit, descriptor.unit)
-        assert np.array_equal(last_value.full_value.unit, descriptor.unit)
-        assert np.array_equal(second_array.full_value.unit, descriptor.unit)
-
-    def test_slice_deletion(self, descriptor: DescriptorArray):
-        with pytest.raises(AttributeError) as e:
-            del descriptor['dim0', 0]
-        assert 'has no attribute' in str(e)
-
-    @pytest.mark.parametrize('test', [1.0, [3.0, 4.0, 5.0]], ids=['number', 'list'])
-    def test_slice_assignment_exception(self, descriptor_dimensionless: DescriptorArray, test):
-        # When
-        with pytest.raises(AttributeError) as e:
-            descriptor_dimensionless['dim0', :] = test
-        assert 'cannot be edited via slicing' in str(e)
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                DescriptorArray(
-                    'test + name', [[3.0, 4.0], [5.0, 6.0]], 'm', [[0.11, 0.21], [0.31, 0.41]]
-                ),
-                DescriptorNumber('test', 18, 'm', 1.04),
-            ),
-            (
-                DescriptorArray(
-                    'test + name',
-                    [[101.0, 201.0], [301.0, 401.0]],
-                    'cm',
-                    [[1010.0, 2010.0], [3010.0, 4010.0]],
-                ),
-                DescriptorNumber('test', 1004.0, 'cm', 10040.0),
-            ),
-            (
-                DescriptorArray('test', [[2.0, 3.0]], 'dimensionless', [[1.0, 2.0]]),
-                DescriptorNumber('test', 5.0, 'dimensionless', 3.0),
-            ),
-            (
-                DescriptorArray('test', [[2.0, 3.0]], 'dimensionless'),
-                DescriptorNumber('test', 5.0, 'dimensionless'),
-            ),
-        ],
-        ids=[
-            'descriptor_array_m',
-            'd=descriptor_array_cm',
-            'descriptor_array_dimensionless',
-            'descriptor_array_dim_varless',
-        ],
-    )
-    def test_sum(self, test, expected):
-        result = test.sum()
-        assert type(result) == DescriptorNumber
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value, expected.value)
-        assert result.unit == expected.unit
-        if test.variance is not None:
-            assert np.allclose(result.variance, expected.variance)
-
-    @pytest.mark.parametrize(
-        'expected, dim',
-        [
-            (DescriptorArray('test', [4.0, 6.0], 'm', [0.4, 0.6]), 'dim0'),
-            (DescriptorArray('test', [3.0, 7.0], 'm', [0.3, 0.7]), 'dim1'),
-        ],
-        ids=['descriptor_array_dim0', 'descriptor_array_dim1'],
-    )
-    def test_sum_over_subset(self, descriptor, expected, dim):
-        result = descriptor.sum(dim)
-        assert type(result) == type(expected)
-        assert result.name == result.unique_name
-        assert np.array_equal(result.value, expected.value)
-        assert result.unit == expected.unit
-        assert np.allclose(result.variance, expected.variance)
-
-    @pytest.mark.parametrize(
-        'test, dimensions',
-        [
-            (DescriptorArray('test', [1.0], 'dimensionless', [1.0]), ['dim0']),
-            (
-                DescriptorArray('test', [[1.0, 1.0]], 'dimensionless', [[1.0, 1.0]]),
-                ['dim0', 'dim1'],
-            ),
-            (
-                DescriptorArray('test', [[1.0], [1.0]], 'dimensionless', [[1.0], [1.0]]),
-                ['dim0', 'dim1'],
-            ),
-            (
-                DescriptorArray('test', [[[1.0, 1.0, 1.0]]], 'dimensionless', [[[1.0, 1.0, 1.0]]]),
-                ['dim0', 'dim1', 'dim2'],
-            ),
-            (
-                DescriptorArray(
-                    'test',
-                    [[[1.0]], [[1.0]], [[1.0]]],
-                    'dimensionless',
-                    [[[1.0]], [[1.0]], [[1.0]]],
-                ),
-                ['dim0', 'dim1', 'dim2'],
-            ),
-        ],
-        ids=['1x1', '1x2', '2x1', '1x3', '3x1'],
-    )
-    def test_array_generate_dimensions(self, test, dimensions):
-        assert test.dimensions == dimensions
-
-    def test_array_set_dimensions_exception(self, descriptor):
-        with pytest.raises(ValueError) as e:
-            descriptor.dimensions = ['too_few']
-        assert 'must have the same shape'
-        with pytest.raises(ValueError) as e:
-            DescriptorArray('test', [[1.0]], 'm', [[1.0]], dimensions=['dim'])
-        assert 'Length of dimensions' in str(e)
-
-    def test_array_set_integer_value(self, descriptor):
-        """
-        Scipp does not convert ints to floats, but values need to be floats for optimization.
-        """
-        # When
-        descriptor.value = [[1, 2], [3, 4]]
-        # Then Expect
-        assert isinstance(descriptor.value[0][0], float)
-
-    def test_array_set_integer_variance(self, descriptor):
-        # When
-        descriptor.variance = [[1, 2], [3, 4]]
-        # Then Expect
-        assert isinstance(descriptor.variance[0][0], float)
-
-    def test_array_create_with_mixed_integers_and_floats(self):
-        # When
-        value = [[1, 2], [3, 4]]
-        variance = [[0.1, 0.2], [0.3, 0.4]]
-        # Then Expect
-        descriptor = DescriptorArray('test', value, 'dimensionless', variance)  # Should not raise
-        assert isinstance(descriptor.value[0][0], float)
-        assert isinstance(descriptor.variance[0][0], float)
-
-    def test_array_set_dims(self, descriptor):
-        # When
-        descriptor.dimensions = ['x', 'y']
-        # Then Expect
-        assert descriptor.dimensions[0] == 'x'
-        assert descriptor.dimensions[1] == 'y'
-        assert descriptor.full_value.dims[0] == 'x'
-        assert descriptor.full_value.dims[1] == 'y'
diff --git a/tests/unit/variable/test_descriptor_base.py b/tests/unit/variable/test_descriptor_base.py
deleted file mode 100644
index 24c342dc..00000000
--- a/tests/unit/variable/test_descriptor_base.py
+++ /dev/null
@@ -1,225 +0,0 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
-import pytest
-
-from easyscience import global_object
-from easyscience.variable.descriptor_base import DescriptorBase
-
-
-class TestDesciptorBase:
-    @pytest.fixture
-    def descriptor(self):
-        # This avoids the error: TypeError: Can't instantiate abstract class DescriptorBase with abstract methods __init__
-        DescriptorBase.__abstractmethods__ = set()
-        DescriptorBase.__repr__ = lambda x: 'DescriptorBase'
-        self.objs_before_new_descriptor = len(global_object.map.created_objs)
-        descriptor = DescriptorBase(
-            name='name',
-            description='description',
-            url='url',
-            display_name='display_name',
-            parent=None,
-        )
-        return descriptor
-
-    @pytest.fixture
-    def clear(self):
-        global_object.map._clear()
-
-    @pytest.mark.parametrize(
-        'name',
-        [1, True, 1.0, [], {}, (), None, object()],
-        ids=['int', 'bool', 'float', 'list', 'dict', 'tuple', 'None', 'object'],
-    )
-    def test_init_name_type_error(self, name):
-        # When Then
-        with pytest.raises(TypeError):
-            DescriptorBase(
-                name=name,
-                description='description',
-                url='url',
-                display_name='display_name',
-                parent=None,
-            )
-
-    @pytest.mark.parametrize(
-        'display_name',
-        [1, True, 1.0, [], {}, (), object()],
-        ids=['int', 'bool', 'float', 'list', 'dict', 'tuple', 'object'],
-    )
-    def test_init_display_name_type_error(self, display_name):
-        # When Then
-        with pytest.raises(TypeError):
-            DescriptorBase(
-                name='name',
-                description='description',
-                url='url',
-                display_name=display_name,
-                parent=None,
-            )
-
-    @pytest.mark.parametrize(
-        'description',
-        [1, True, 1.0, [], {}, (), object()],
-        ids=['int', 'bool', 'float', 'list', 'dict', 'tuple', 'object'],
-    )
-    def test_init_description_type_error(self, description):
-        # When Then
-        with pytest.raises(TypeError):
-            DescriptorBase(
-                name='name',
-                description=description,
-                url='url',
-                display_name='display_name',
-                parent=None,
-            )
-
-    @pytest.mark.parametrize(
-        'url',
-        [1, True, 1.0, [], {}, (), object()],
-        ids=['int', 'bool', 'float', 'list', 'dict', 'tuple', 'object'],
-    )
-    def test_init_url_type_error(self, url):
-        # When Then
-        with pytest.raises(TypeError):
-            DescriptorBase(
-                name='name',
-                description='description',
-                url=url,
-                display_name='display_name',
-                parent=None,
-            )
-
-    def test_init(self, descriptor: DescriptorBase):
-        assert descriptor._name == 'name'
-        assert descriptor._description == 'description'
-        assert descriptor._url == 'url'
-        assert descriptor._display_name == 'display_name'
-        assert len(global_object.map.created_objs) - self.objs_before_new_descriptor == 1
-
-    def test_display_name(self, descriptor: DescriptorBase):
-        # When Then Expect
-        assert descriptor.display_name == 'display_name'
-
-    def test_display_name_none(self, descriptor: DescriptorBase):
-        # When
-        descriptor._display_name = None
-        # Then Expect
-        assert descriptor.display_name == 'name'
-
-    def test_display_name_setter(self, descriptor: DescriptorBase):
-        # When
-        descriptor.display_name = 'new_display_name'
-        # Then Expect
-        assert descriptor.display_name == 'new_display_name'
-
-    @pytest.mark.parametrize(
-        'display_name',
-        [1, True, 1.0, [], {}, (), object()],
-        ids=['int', 'bool', 'float', 'list', 'dict', 'tuple', 'object'],
-    )
-    def test_display_name_setter_type_error(self, descriptor: DescriptorBase, display_name):
-        # When Then
-        with pytest.raises(TypeError):
-            descriptor.display_name = display_name
-
-    def test_name_setter(self, descriptor: DescriptorBase):
-        # When
-        descriptor.name = 'new_name'
-        # Then Expect
-        assert descriptor.name == 'new_name'
-
-    @pytest.mark.parametrize(
-        'name',
-        [1, True, 1.0, [], {}, (), object(), None],
-        ids=['int', 'bool', 'float', 'list', 'dict', 'tuple', 'object', 'None'],
-    )
-    def test_name_setter_type_error(self, descriptor: DescriptorBase, name):
-        # When Then
-        with pytest.raises(TypeError):
-            descriptor.name = name
-
-    def test_description_setter(self, descriptor: DescriptorBase):
-        # When
-        descriptor.description = 'new_description'
-        # Then Expect
-        assert descriptor.description == 'new_description'
-
-    @pytest.mark.parametrize(
-        'description',
-        [1, True, 1.0, [], {}, (), object()],
-        ids=['int', 'bool', 'float', 'list', 'dict', 'tuple', 'object'],
-    )
-    def test_description_setter_type_error(self, descriptor: DescriptorBase, description):
-        # When Then
-        with pytest.raises(TypeError):
-            descriptor.description = description
-
-    def test_url_setter(self, descriptor: DescriptorBase):
-        # When
-        descriptor.url = 'new_url'
-        # Then Expect
-        assert descriptor.url == 'new_url'
-
-    @pytest.mark.parametrize(
-        'url',
-        [1, True, 1.0, [], {}, (), object()],
-        ids=['int', 'bool', 'float', 'list', 'dict', 'tuple', 'object'],
-    )
-    def test_url_setter_type_error(self, descriptor: DescriptorBase, url):
-        # When Then
-        with pytest.raises(TypeError):
-            descriptor.url = url
-
-    @pytest.mark.parametrize('stack_enabled,stack_elements', [(False, 0), (True, 1)])
-    def test_set_display_name_without_global_object_stack(
-        self, descriptor: DescriptorBase, stack_enabled, stack_elements
-    ):
-        # When
-        descriptor.__repr__ = lambda x: 'DescriptorBase'
-        global_object.stack.clear()
-        global_object.stack._enabled = stack_enabled
-
-        # Then
-        descriptor.display_name = 'new_display_name'
-
-        # Expect
-        assert descriptor.display_name == 'new_display_name'
-        assert len(global_object.stack.history) == stack_elements
-
-    def test_copy(self, descriptor: DescriptorBase):
-        # When Then
-        descriptor_copy = descriptor.__copy__()
-
-        # Expect
-        assert type(descriptor_copy) == DescriptorBase
-        assert descriptor_copy._name == descriptor._name
-        assert descriptor_copy._description == descriptor._description
-        assert descriptor_copy._url == descriptor._url
-        assert descriptor_copy._display_name == descriptor._display_name
-
-    def test_unique_name_generator(self, clear, descriptor: DescriptorBase):
-        # When
-        second_descriptor = DescriptorBase(name='test', unique_name='DescriptorBase_2')
-
-        # Then
-        third_descriptor = DescriptorBase(name='test2')
-        fourth_descriptor = DescriptorBase(name='test3')
-
-        # Expect
-        assert descriptor.unique_name == 'DescriptorBase_0'
-        assert third_descriptor.unique_name == 'DescriptorBase_3'
-        assert fourth_descriptor.unique_name == 'DescriptorBase_4'
-
-    def test_unique_name_change(self, clear, descriptor: DescriptorBase):
-        # When Then
-        descriptor.unique_name = 'test'
-        # Expect
-        assert descriptor.unique_name == 'test'
-
-    @pytest.mark.parametrize('input', [2, 2.0, [2], {2}, None])
-    def test_unique_name_change_exception(self, input, descriptor: DescriptorBase):
-        # When Then Expect
-        with pytest.raises(TypeError):
-            descriptor.unique_name = input
diff --git a/tests/unit_tests/__init__.py b/tests/unit_tests/__init__.py
new file mode 100644
index 00000000..462d95af
--- /dev/null
+++ b/tests/unit_tests/__init__.py
@@ -0,0 +1,3 @@
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
diff --git a/tests/unit_tests/base_classes/__init__.py b/tests/unit_tests/base_classes/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/unit/base_classes/test_collection_base.py b/tests/unit_tests/base_classes/test_collection_base.py
similarity index 57%
rename from tests/unit/base_classes/test_collection_base.py
rename to tests/unit_tests/base_classes/test_collection_base.py
index 732c3acf..153fe713 100644
--- a/tests/unit/base_classes/test_collection_base.py
+++ b/tests/unit_tests/base_classes/test_collection_base.py
@@ -1,33 +1,35 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import pytest
 
 import easyscience
-from easyscience import DescriptorNumber
+from easyscience.base_classes import CollectionBase
 from easyscience import ObjBase
+from easyscience import DescriptorNumber
 from easyscience import Parameter
 from easyscience import global_object
-from easyscience.base_classes import CollectionBase
 
 test_dict = {
-    '@module': 'easyscience.base_classes',
-    '@class': 'CollectionBase',
-    '@version': easyscience.__version__,
-    'name': 'testing',
-    'data': [
+    "@module": "easyscience.base_classes",
+    "@class": "CollectionBase",
+    "@version": easyscience.__version__,
+    "name": "testing",
+    "data": [
         {
-            '@module': DescriptorNumber.__module__,
-            '@class': DescriptorNumber.__name__,
-            '@version': easyscience.__version__,
-            'name': 'par1',
-            'value': 1.0,
-            'unit': 'dimensionless',
-            'variance': None,
-            'unique_name': 'CollectionBase_0',
-            'description': '',
-            'url': '',
-            'display_name': 'par1',
+            "@module": DescriptorNumber.__module__,
+            "@class": DescriptorNumber.__name__,
+            "@version": easyscience.__version__,
+            "name": "par1",
+            "value": 1.0,
+            "unit": "dimensionless",
+            "variance": None,
+            "unique_name": "CollectionBase_0",
+            "description": "",
+            "url": "",
+            "display_name": "par1",
         }
     ],
 }
@@ -43,20 +45,20 @@ class Alpha(CollectionBase):
 @pytest.fixture
 def setup_pars():
     d = {
-        'name': 'test',
-        'par1': Parameter('p1', 0.1, fixed=True),
-        'des1': DescriptorNumber('d1', 0.1),
-        'par2': Parameter('p2', 0.1),
-        'des2': DescriptorNumber('d2', 0.1),
-        'par3': Parameter('p3', 0.1),
+        "name": "test",
+        "par1": Parameter("p1", 0.1, fixed=True),
+        "des1": DescriptorNumber("d1", 0.1),
+        "par2": Parameter("p2", 0.1),
+        "des2": DescriptorNumber("d2", 0.1),
+        "par3": Parameter("p3", 0.1),
     }
     return d
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_from_base(cls, setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     coll = cls(name, **setup_pars)
 
     assert coll.name == name
@@ -68,14 +70,14 @@ def test_CollectionBase_from_base(cls, setup_pars):
         assert item.value == setup_pars[key].value
 
 
-@pytest.mark.parametrize('cls', class_constructors)
-@pytest.mark.parametrize('value', range(1, 11))
+@pytest.mark.parametrize("cls", class_constructors)
+@pytest.mark.parametrize("value", range(1, 11))
 def test_CollectionBase_from_ObjBase(cls, setup_pars: dict, value: int):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     objs = {}
 
-    prefix = 'obj'
+    prefix = "obj"
     for idx in range(value):
         objs[prefix + str(idx)] = ObjBase(prefix + str(idx), **setup_pars)
 
@@ -92,34 +94,34 @@ def test_CollectionBase_from_ObjBase(cls, setup_pars: dict, value: int):
         idx += 1
 
 
-@pytest.mark.parametrize('cls', class_constructors)
-@pytest.mark.parametrize('value', ('abc', False, (), []))
+@pytest.mark.parametrize("cls", class_constructors)
+@pytest.mark.parametrize("value", ("abc", False, (), []))
 def test_CollectionBase_create_fail(cls, setup_pars, value):
-    name = setup_pars['name']
-    del setup_pars['name']
-    setup_pars['to_fail'] = value
+    name = setup_pars["name"]
+    del setup_pars["name"]
+    setup_pars["to_fail"] = value
 
     with pytest.raises(AttributeError):
         coll = cls(name, **setup_pars)
 
 
-@pytest.mark.parametrize('cls', class_constructors)
-@pytest.mark.parametrize('key', ('user_data', '_kwargs', 'interface'))
+@pytest.mark.parametrize("cls", class_constructors)
+@pytest.mark.parametrize("key", ("user_data", "_kwargs", "interface"))
 def test_CollectionBase_create_fail2(cls, setup_pars, key):
-    name = setup_pars['name']
-    del setup_pars['name']
-    setup_pars[key] = DescriptorNumber('fail_name', 0)
+    name = setup_pars["name"]
+    del setup_pars["name"]
+    setup_pars[key] = DescriptorNumber("fail_name", 0)
 
     with pytest.raises(AttributeError):
         coll = cls(name, **setup_pars)
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_append_base(cls, setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
 
-    new_item_name = 'boo'
+    new_item_name = "boo"
     new_item_value = 100
     new_item = Parameter(new_item_name, new_item_value)
 
@@ -132,22 +134,22 @@ def test_CollectionBase_append_base(cls, setup_pars):
     assert coll[-1].value == new_item_value
 
 
-@pytest.mark.parametrize('cls', class_constructors)
-@pytest.mark.parametrize('value', ('abc', False, (), []))
+@pytest.mark.parametrize("cls", class_constructors)
+@pytest.mark.parametrize("value", ("abc", False, (), []))
 def test_CollectionBase_append_fail(cls, setup_pars, value):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
 
     coll = cls(name, **setup_pars)
     with pytest.raises(AttributeError):
         coll.append(value)
 
 
-@pytest.mark.parametrize('cls', class_constructors)
-@pytest.mark.parametrize('value', (0, 1, 3, 'par1', 'des1'))
+@pytest.mark.parametrize("cls", class_constructors)
+@pytest.mark.parametrize("value", (0, 1, 3, "par1", "des1"))
 def test_CollectionBase_getItem(cls, setup_pars, value):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
 
     coll = cls(name, **setup_pars)
 
@@ -159,11 +161,11 @@ def test_CollectionBase_getItem(cls, setup_pars, value):
     assert get_item.name == setup_pars[key].name
 
 
-@pytest.mark.parametrize('cls', class_constructors)
-@pytest.mark.parametrize('value', (False, [], (), 100, 100.4))
+@pytest.mark.parametrize("cls", class_constructors)
+@pytest.mark.parametrize("value", (False, [], (), 100, 100.4))
 def test_CollectionBase_getItem_type_fail(cls, setup_pars, value):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
 
     coll = cls(name, **setup_pars)
 
@@ -171,10 +173,10 @@ def test_CollectionBase_getItem_type_fail(cls, setup_pars, value):
         get_item = coll[value]
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_getItem_slice(cls, setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
 
     coll = cls(name, **setup_pars)
 
@@ -182,11 +184,11 @@ def test_CollectionBase_getItem_slice(cls, setup_pars):
     assert len(get_item) == 2
 
 
-@pytest.mark.parametrize('cls', class_constructors)
-@pytest.mark.parametrize('value', (0, 1, 3))
+@pytest.mark.parametrize("cls", class_constructors)
+@pytest.mark.parametrize("value", (0, 1, 3))
 def test_CollectionBase_setItem(cls, setup_pars, value):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
 
     coll = cls(name, **setup_pars)
     n_coll = len(coll)
@@ -201,11 +203,11 @@ def test_CollectionBase_setItem(cls, setup_pars, value):
     assert coll[value].value == new_item_value
 
 
-@pytest.mark.parametrize('cls', class_constructors)
-@pytest.mark.parametrize('value', ('abc', (), []))
+@pytest.mark.parametrize("cls", class_constructors)
+@pytest.mark.parametrize("value", ("abc", (), []))
 def test_CollectionBase_setItem_fail(cls, setup_pars, value):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
 
     coll = cls(name, **setup_pars)
 
@@ -214,11 +216,11 @@ def test_CollectionBase_setItem_fail(cls, setup_pars, value):
             coll[idx] = value
 
 
-@pytest.mark.parametrize('cls', class_constructors)
-@pytest.mark.parametrize('value', (0, 1, 3))
+@pytest.mark.parametrize("cls", class_constructors)
+@pytest.mark.parametrize("value", (0, 1, 3))
 def test_CollectionBase_delItem(cls, setup_pars, value):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
 
     coll = cls(name, **setup_pars)
     n_coll = len(coll)
@@ -233,11 +235,11 @@ def test_CollectionBase_delItem(cls, setup_pars, value):
     assert name_coll_idx not in [col.name for col in coll]
 
 
-@pytest.mark.parametrize('cls', class_constructors)
-@pytest.mark.parametrize('value', (0, 1, 3))
+@pytest.mark.parametrize("cls", class_constructors)
+@pytest.mark.parametrize("value", (0, 1, 3))
 def test_CollectionBase_len(cls, setup_pars, value):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
 
     keys = list(setup_pars.keys())
     keys = keys[0 : (value + 1)]
@@ -246,100 +248,100 @@ def test_CollectionBase_len(cls, setup_pars, value):
     assert len(coll) == (value + 1)
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_get_parameters(cls, setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = cls(name, **setup_pars)
     pars = obj.get_parameters()
     assert len(pars) == 3
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_get_parameters_nested(cls, setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = ObjBase(name, **setup_pars)
 
-    name2 = name + '_2'
+    name2 = name + "_2"
     obj2 = cls(name2, obj=obj, **setup_pars)
 
     pars = obj2.get_parameters()
     assert len(pars) == 6
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_get_fit_parameters(cls, setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = cls(name, **setup_pars)
     pars = obj.get_fit_parameters()
     assert len(pars) == 2
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_get_fit_parameters_nested(cls, setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = ObjBase(name, **setup_pars)
 
-    name2 = name + '_2'
+    name2 = name + "_2"
     obj2 = cls(name2, obj=obj, **setup_pars)
 
     pars = obj2.get_fit_parameters()
     assert len(pars) == 4
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_dir(cls):
-    name = 'testing'
-    kwargs = {'p1': DescriptorNumber('par1', 1)}
+    name = "testing"
+    kwargs = {"p1": DescriptorNumber("par1", 1)}
     obj = cls(name, **kwargs)
     d = set(dir(obj))
 
     expected = {
-        'user_data',
-        'reverse',
-        'constraints',
-        'get_fit_parameters',
-        'append',
-        'unique_name',
-        'index',
-        'as_dict',
-        'clear',
-        'extend',
-        'encode',
-        'remove',
-        'interface',
-        'from_dict',
-        'name',
-        'switch_interface',
-        'get_parameters',
-        'insert',
-        'data',
-        'pop',
-        'count',
-        'generate_bindings',
-        'decode',
-        'sort',
+        "user_data",
+        "reverse",
+        "constraints",
+        "get_fit_parameters",
+        "append",
+        "unique_name",
+        "index",
+        "as_dict",
+        "clear",
+        "extend",
+        "encode",
+        "remove",
+        "interface",
+        "from_dict",
+        "name",
+        "switch_interface",
+        "get_parameters",
+        "insert",
+        "data",
+        "pop",
+        "count",
+        "generate_bindings",
+        "decode",
+        "sort",
     }
     assert not d.difference(expected)
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_as_dict(cls):
-    name = 'testing'
-    kwargs = {'p1': DescriptorNumber('par1', 1)}
+    name = "testing"
+    kwargs = {"p1": DescriptorNumber("par1", 1)}
     obj = cls(name, **kwargs)
     d = obj.as_dict()
 
     def check_dict(dict_1: dict, dict_2: dict):
         keys_1 = list(dict_1.keys())
         keys_2 = list(dict_2.keys())
-        if 'unique_name' in keys_1:
-            del keys_1[keys_1.index('unique_name')]
-        if 'unique_name' in keys_2:
-            del keys_2[keys_2.index('unique_name')]
+        if "unique_name" in keys_1:
+            del keys_1[keys_1.index("unique_name")]
+        if "unique_name" in keys_2:
+            del keys_2[keys_2.index("unique_name")]
 
         assert not set(keys_1).difference(set(keys_2))
 
@@ -363,18 +365,18 @@ def testit(item1, item2):
         keys_2.sort()
 
         for k1, k2 in zip(keys_1, keys_2):
-            if k1[0] == '@':
+            if k1[0] == "@":
                 continue
             testit(dict_1[k1], dict_2[k2])
 
     check_dict(d, test_dict)
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_from_dict(cls):
-    global_object.map._clear()  # TODO: figure out why this test fails without this line
-    name = 'testing'
-    kwargs = {'p1': DescriptorNumber('par1', 1)}
+    global_object.map._clear() #TODO: figure out why this test fails without this line
+    name = "testing"
+    kwargs = {"p1": DescriptorNumber("par1", 1)}
     expected = cls.from_dict(test_dict)
     ref = cls(name, **kwargs)
 
@@ -385,23 +387,23 @@ def test_CollectionBase_from_dict(cls):
         assert item1.value == item2.value
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_repr(cls):
-    name = 'test'
-    p1 = Parameter('p1', 1)
+    name = "test"
+    p1 = Parameter("p1", 1)
     obj = cls(name, p1)
     test_str = str(obj)
-    ref_str = f'{cls.__name__} `{name}` of length 1'
+    ref_str = f"{cls.__name__} `{name}` of length 1"
     assert test_str == ref_str
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_iterator(cls):
-    name = 'test'
-    p1 = Parameter('p1', 1)
-    p2 = Parameter('p2', 2)
-    p3 = Parameter('p3', 3)
-    p4 = Parameter('p4', 4)
+    name = "test"
+    p1 = Parameter("p1", 1)
+    p2 = Parameter("p2", 2)
+    p3 = Parameter("p3", 3)
+    p4 = Parameter("p4", 4)
 
     l_object = [p1, p2, p3, p4]
 
@@ -411,14 +413,14 @@ def test_CollectionBase_iterator(cls):
         assert item == l_object[index]
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_iterator_dict(cls):
-    global_object.map._clear()  # TODO: figure out why this test fails without this line
-    name = 'test'
-    p1 = Parameter('p1', 1)
-    p2 = Parameter('p2', 2)
-    p3 = Parameter('p3', 3)
-    p4 = Parameter('p4', 4)
+    global_object.map._clear() #TODO: figure out why this test fails without this line
+    name = "test"
+    p1 = Parameter("p1", 1)
+    p2 = Parameter("p2", 2)
+    p3 = Parameter("p3", 3)
+    p4 = Parameter("p4", 4)
 
     l_object = [p1, p2, p3, p4]
 
@@ -431,14 +433,14 @@ def test_CollectionBase_iterator_dict(cls):
         assert item.value == l_object[index].value
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_sameName(cls):
-    global_object.map._clear()  # TODO: figure out why this test fails without this line
-    name = 'test'
-    p1 = Parameter('p1', 1)
-    p2 = Parameter('p1', 2)
-    p3 = Parameter('p3', 3)
-    p4 = Parameter('p4', 4)
+    global_object.map._clear() #TODO: figure out why this test fails without this line
+    name = "test"
+    p1 = Parameter("p1", 1)
+    p2 = Parameter("p1", 2)
+    p3 = Parameter("p3", 3)
+    p4 = Parameter("p4", 4)
 
     l_object = [p1, p2, p3, p4]
     obj = cls(name, *l_object)
@@ -446,19 +448,19 @@ def test_CollectionBase_sameName(cls):
     for index, item in enumerate(obj):
         assert item == l_object[index]
 
-    obj12 = obj['p1']
+    obj12 = obj["p1"]
     assert len(obj12) == 2
     for index, item in enumerate(obj12):
         assert item == l_object[index]
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_set_index(cls):
-    name = 'test'
-    p1 = Parameter('p1', 1)
-    p2 = Parameter('p1', 2)
-    p3 = Parameter('p3', 3)
-    p4 = Parameter('p4', 4)
+    name = "test"
+    p1 = Parameter("p1", 1)
+    p2 = Parameter("p1", 2)
+    p3 = Parameter("p3", 3)
+    p4 = Parameter("p4", 4)
 
     l_object = [p1, p2, p3]
     obj = cls(name, *l_object)
@@ -474,15 +476,15 @@ def test_CollectionBase_set_index(cls):
     assert p2.unique_name not in edges
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_set_index_based(cls):
-    name = 'test'
-    p1 = Parameter('p1', 1)
-    p2 = Parameter('p2', 2)
-    p3 = Parameter('p3', 3)
-    p4 = Parameter('p4', 4)
-    p5 = Parameter('p5', 5)
-    d = cls('testing', p1, p2)
+    name = "test"
+    p1 = Parameter("p1", 1)
+    p2 = Parameter("p2", 2)
+    p3 = Parameter("p3", 3)
+    p4 = Parameter("p4", 4)
+    p5 = Parameter("p5", 5)
+    d = cls("testing", p1, p2)
 
     l_object = [p3, p4, p5]
     obj = cls(name, *l_object)
@@ -498,24 +500,24 @@ def test_CollectionBase_set_index_based(cls):
     assert p4.unique_name not in edges
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_sort(cls):
-    name = 'test'
+    name = "test"
     v = [1, 4, 3, 2, 5]
     expected = [1, 2, 3, 4, 5]
-    d = cls(name, *[Parameter(f'p{i}', v[i]) for i in range(len(v))])
+    d = cls(name, *[Parameter(f"p{i}", v[i]) for i in range(len(v))])
     d.sort(lambda x: x.value)
     for i, item in enumerate(d):
         assert item.value == expected[i]
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBase_sort_reverse(cls):
-    name = 'test'
+    name = "test"
     v = [1, 4, 3, 2, 5]
     expected = [1, 2, 3, 4, 5]
     expected.reverse()
-    d = cls(name, *[Parameter(f'p{i}', v[i]) for i in range(len(v))])
+    d = cls(name, *[Parameter(f"p{i}", v[i]) for i in range(len(v))])
     d.sort(lambda x: x.value, reverse=True)
     for i, item in enumerate(d):
         assert item.value == expected[i]
@@ -525,21 +527,22 @@ class Beta(ObjBase):
     pass
 
 
-@pytest.mark.parametrize('cls', class_constructors)
+@pytest.mark.parametrize("cls", class_constructors)
 def test_CollectionBaseGraph(cls):
     from easyscience import global_object
 
     G = global_object.map
-    name = 'test'
+    name = "test"
     v = [1, 2]
-    p = [Parameter(f'p{i}', v[i]) for i in range(len(v))]
+    p = [Parameter(f"p{i}", v[i]) for i in range(len(v))]
     p_id = [_p.unique_name for _p in p]
     bb = cls(name, *p)
     bb_id = bb.unique_name
-    b = Beta('b', bb=bb)
+    b = Beta("b", bb=bb)
     b_id = b.unique_name
     for _id in p_id:
         assert _id in G.get_edges(bb)
     assert len(p) == len(G.get_edges(bb))
     assert bb_id in G.get_edges(b)
     assert 1 == len(G.get_edges(b))
+
diff --git a/tests/unit_tests/base_classes/test_collection_base_easylist.py b/tests/unit_tests/base_classes/test_collection_base_easylist.py
new file mode 100644
index 00000000..a54c52c5
--- /dev/null
+++ b/tests/unit_tests/base_classes/test_collection_base_easylist.py
@@ -0,0 +1,81 @@
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
+
+import pytest
+
+from easyscience import DescriptorNumber
+from easyscience import ObjBase
+from easyscience import Parameter
+from easyscience import global_object
+from easyscience.base_classes import CollectionBaseEasyList as CollectionBase
+
+
+@pytest.fixture(autouse=True)
+def clear():
+    global_object.map._clear()
+
+
+def test_collection_base_getitem_supports_unique_name_and_name_fallback():
+    p1 = Parameter('dup', 1.0, unique_name='p1')
+    p2 = Parameter('dup', 2.0, unique_name='p2')
+
+    collection = CollectionBase('test', p1, p2)
+
+    assert collection['p1'] is p1
+    same_name = collection['dup']
+    assert isinstance(same_name, CollectionBase)
+    assert len(same_name) == 2
+    assert list(same_name) == [p1, p2]
+
+
+def test_collection_base_get_all_variables_includes_direct_leaf_items():
+    descriptor = DescriptorNumber('d1', 1.0)
+    parameter = Parameter('p1', 2.0)
+
+    collection = CollectionBase('test', descriptor, parameter)
+
+    variables = collection.get_all_variables()
+
+    assert variables == [descriptor, parameter]
+
+
+def test_collection_base_get_parameters_recurses_into_nested_objects():
+    nested = ObjBase('nested', p1=Parameter('p1', 1.0), p2=Parameter('p2', 2.0, fixed=True))
+    collection = CollectionBase('test', nested, Parameter('p3', 3.0))
+
+    parameters = collection.get_parameters()
+    free_parameters = collection.get_fit_parameters()
+
+    assert [parameter.name for parameter in parameters] == ['p1', 'p2', 'p3']
+    assert [parameter.name for parameter in free_parameters] == ['p1', 'p3']
+
+
+def test_collection_base_supports_numeric_item_assignment():
+    parameter = Parameter('p1', 1.0)
+    collection = CollectionBase('test', parameter)
+
+    collection[0] = 4.0
+
+    assert collection[0].value == 4.0
+
+
+def test_collection_base_to_dict_round_trip_preserves_name_and_data():
+    p1 = Parameter('p1', 1.0)
+    p2 = Parameter('p2', 2.0)
+    collection = CollectionBase('test', p1, p2)
+
+    encoded = collection.to_dict()
+    decoded = CollectionBase.from_dict(encoded)
+
+    assert decoded.name == 'test'
+    assert [item.name for item in decoded] == ['p1', 'p2']
+    assert [item.value for item in decoded] == [1.0, 2.0]
+
+
+def test_collection_base_sort_accepts_mapping_alias():
+    collection = CollectionBase('test', Parameter('p1', 3.0), Parameter('p2', 1.0), Parameter('p3', 2.0))
+
+    collection.sort(mapping=lambda item: item.value)
+
+    assert [item.value for item in collection] == [1.0, 2.0, 3.0]
\ No newline at end of file
diff --git a/tests/unit/base_classes/test_easy_list.py b/tests/unit_tests/base_classes/test_easy_list.py
similarity index 98%
rename from tests/unit/base_classes/test_easy_list.py
rename to tests/unit_tests/base_classes/test_easy_list.py
index 32f6a60b..18e5989c 100644
--- a/tests/unit/base_classes/test_easy_list.py
+++ b/tests/unit_tests/base_classes/test_easy_list.py
@@ -1,5 +1,6 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import warnings
 
@@ -16,14 +17,12 @@ class Alpha(NewBase):
     def __init__(self, unique_name=None, display_name=None):
         super().__init__(unique_name=unique_name, display_name=display_name)
 
-
 class Beta(NewBase):
     """Another concrete subclass of NewBase for testing."""
 
     def __init__(self, unique_name=None, display_name=None):
         super().__init__(unique_name=unique_name, display_name=display_name)
 
-
 class TestEasyList:
     @pytest.fixture(autouse=True)
     def clear(self):
@@ -209,10 +208,7 @@ def test_setitem_slice_length_mismatch_raises(self):
         a2 = Alpha(unique_name='a2')
         a3 = Alpha(unique_name='a3')
         el = EasyList(a1, a2, protected_types=Alpha)
-        with pytest.raises(
-            ValueError,
-            match='Length of new values must match the length of the slice being replaced',
-        ):
+        with pytest.raises(ValueError, match='Length of new values must match the length of the slice being replaced'):
             el[0:2] = [a3]  # Only one item provided for a slice of length 2
 
     def test_setitem_invalid_index_type(self):
diff --git a/tests/unit/base_classes/test_model_base.py b/tests/unit_tests/base_classes/test_model_base.py
similarity index 62%
rename from tests/unit/base_classes/test_model_base.py
rename to tests/unit_tests/base_classes/test_model_base.py
index e91c20a9..a6d85768 100644
--- a/tests/unit/base_classes/test_model_base.py
+++ b/tests/unit_tests/base_classes/test_model_base.py
@@ -1,33 +1,31 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from unittest.mock import MagicMock
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import pytest
-
-from easyscience import DescriptorNumber
-from easyscience import Parameter
 from easyscience import global_object
 from easyscience.base_classes import ModelBase
-from easyscience.io import SerializerBase
+from easyscience import Parameter
+from easyscience import DescriptorNumber
 from easyscience.variable import DescriptorStr
-
+from unittest.mock import MagicMock
+from easyscience.io import SerializerBase
+import numpy as np
 
 class MockModelComponent(ModelBase):
     """
     A simple mock model component with some parameters and descriptors.
     """
-
     def __init__(self, display_name=None, unique_name=None, temperature=0, room_temperature=22):
         super().__init__(display_name=display_name, unique_name=unique_name)
-        self._temperature = Parameter(name='temperature', value=temperature)
-        self._room_temperature = DescriptorNumber(name='room_temperature', value=room_temperature)
-        self._status = DescriptorStr(name='status', value='OK')
+        self._temperature = Parameter(name="temperature", value=temperature)
+        self._room_temperature = DescriptorNumber(name="room_temperature", value=room_temperature)
+        self._status = DescriptorStr(name="status", value="OK")
 
     @property
     def temperature(self):
         return self._temperature
-
+    
     @temperature.setter
     def temperature(self, value):
         self._temperature.value = value
@@ -35,7 +33,7 @@ def temperature(self, value):
     @property
     def room_temperature(self):
         return self._room_temperature
-
+    
     @room_temperature.setter
     def room_temperature(self, value):
         self._room_temperature.value = value
@@ -43,21 +41,19 @@ def room_temperature(self, value):
     @property
     def status(self):
         return self._status
-
+    
     @status.setter
     def status(self, value):
         self._status.value = value
 
-
 class MockModelFull(ModelBase):
     """
     A mock model that contains another model as a component. To test building nested models using the ModelBase class.
     """
-
-    def __init__(self, component=None, display_name=None, unique_name=None, pressure=0, area=1):
+    def __init__(self, component = None, display_name=None, unique_name=None, pressure=0, area=1):
         super().__init__(display_name=display_name, unique_name=unique_name)
-        self._pressure = Parameter(name='pressure', value=pressure)
-        self._area = Parameter(name='area', value=area)
+        self._pressure = Parameter(name="pressure", value=pressure)
+        self._area = Parameter(name="area", value=area)
         if component is not None:
             self._component = component
         else:
@@ -66,7 +62,7 @@ def __init__(self, component=None, display_name=None, unique_name=None, pressure
     @property
     def pressure(self):
         return self._pressure
-
+    
     @pressure.setter
     def pressure(self, value):
         self._pressure.value = value
@@ -74,30 +70,22 @@ def pressure(self, value):
     @property
     def component(self):
         return self._component
-
+    
     @property
     def area(self):
         return self._area
-
+    
     @area.setter
     def area(self, value):
         self._area.value = value
 
-
 class TestModelBase:
     @pytest.fixture
     def nested_model(self, monkeypatch):
         model = MockModelFull(pressure=1)
-        model.pressure.make_dependent_on(
-            dependency_expression='2 * temperature + 5',
-            dependency_map={'temperature': model.component.temperature},
-        )
+        model.pressure.make_dependent_on(dependency_expression="2 * temperature + 5", dependency_map={'temperature': model.component.temperature})
         model.area.fixed = True
-        monkeypatch.setattr(
-            model.component,
-            'get_all_variables',
-            MagicMock(wraps=model.component.get_all_variables),
-        )
+        monkeypatch.setattr(model.component, 'get_all_variables', MagicMock(wraps=model.component.get_all_variables))
         return model
 
     @pytest.fixture
@@ -107,10 +95,10 @@ def clear(self):
 
     def test_init(self):
         # When Then
-        model = ModelBase(unique_name='test_model', display_name='Test Model')
+        model = ModelBase(unique_name="test_model", display_name="Test Model")
         # Expect
-        assert model.unique_name == 'test_model'
-        assert model.display_name == 'Test Model'
+        assert model.unique_name == "test_model"
+        assert model.display_name == "Test Model"
 
     def test_get_all_variables_flat(self):
         # When
@@ -151,9 +139,7 @@ def test_get_fittable_parameters_nested(self, nested_model):
         # Expect
         assert len(fittable_params) == 2
         assert any(isinstance(p, Parameter) and p.fixed for p in fittable_params)
-        assert any(
-            isinstance(p, Parameter) and p.independent and not p.fixed for p in fittable_params
-        )
+        assert any(isinstance(p, Parameter) and p.independent and not p.fixed for p in fittable_params)
         assert nested_model.component.get_all_variables.call_count == 1
 
     def test_get_fit_parameters_alias(self, monkeypatch):
@@ -176,23 +162,13 @@ def test_get_free_parameters_nested(self, nested_model):
     def test_from_dict(self, monkeypatch, clear):
         # When
         model = MockModelComponent()
-        obj_dict = (
-            model.to_dict()
-        )  # We only care about deserializing dictorionaries currently created by EasyScience
+        obj_dict = model.to_dict() # We only care about deserializing dictorionaries currently created by EasyScience
         obj_dict['@module'] = 'easyscience.base_classes.model_base'
-        monkeypatch.setattr(
-            SerializerBase,
-            '_import_class',
-            MagicMock(
-                side_effect=lambda module_name, class_name: (
-                    MockModelComponent
-                    if class_name == 'MockModelComponent'
-                    else Parameter
-                    if class_name == 'Parameter'
-                    else DescriptorNumber
-                )
-            ),
-        )
+        monkeypatch.setattr(SerializerBase, '_import_class', MagicMock(side_effect=lambda module_name, class_name: 
+                                                                       MockModelComponent if class_name == 'MockModelComponent' 
+                                                                       else Parameter if class_name == 'Parameter' 
+                                                                       else DescriptorNumber)
+                                                                       )
         global_object.map._clear()
         # Then
         new_model = MockModelComponent.from_dict(obj_dict)
@@ -204,36 +180,20 @@ def test_from_dict(self, monkeypatch, clear):
         assert isinstance(new_model._room_temperature, DescriptorNumber)
         assert len(global_object.map.vertices()) == 4
         assert global_object.map.get_item_by_key('Parameter_0') is new_model._temperature
-        assert (
-            len([param for param in global_object.map.vertices() if param.startswith('Parameter')])
-            == 1
-        )
+        assert len([param for param in global_object.map.vertices() if param.startswith('Parameter')]) == 1
 
     def test_from_dict_nested(self, monkeypatch, clear):
         # When
         model = MockModelFull()
-        model.__class__.__module__ = 'easyscience'  # Ensure mock class is seen as easyscience
-        model.component.__class__.__module__ = (
-            'easyscience'  # Ensure nested class is also seen as easyscience
-        )
-        obj_dict = (
-            model.to_dict()
-        )  # We only care about deserializing dictorionaries currently created by EasyScience
-        monkeypatch.setattr(
-            SerializerBase,
-            '_import_class',
-            MagicMock(
-                side_effect=lambda module_name, class_name: (
-                    MockModelFull
-                    if class_name == 'MockModelFull'
-                    else MockModelComponent
-                    if class_name == 'MockModelComponent'
-                    else Parameter
-                    if class_name == 'Parameter'
-                    else DescriptorNumber
-                )
-            ),
-        )
+        model.__class__.__module__ = 'easyscience' # Ensure mock class is seen as easyscience
+        model.component.__class__.__module__ = 'easyscience' # Ensure nested class is also seen as easyscience
+        obj_dict = model.to_dict() # We only care about deserializing dictorionaries currently created by EasyScience
+        monkeypatch.setattr(SerializerBase, '_import_class', MagicMock(side_effect=lambda module_name, class_name: 
+                                                                       MockModelFull if class_name == 'MockModelFull' 
+                                                                       else MockModelComponent if class_name == 'MockModelComponent' 
+                                                                       else Parameter if class_name == 'Parameter' 
+                                                                       else DescriptorNumber)
+                                                                       )
         global_object.map._clear()
         # Then
         new_model = MockModelFull.from_dict(obj_dict)
@@ -249,27 +209,18 @@ def test_from_dict_nested(self, monkeypatch, clear):
         assert isinstance(new_model.component._temperature, Parameter)
         assert isinstance(new_model.component._room_temperature, DescriptorNumber)
         assert len(global_object.map.vertices()) == 7
-        assert global_object.map.get_item_by_key('Parameter_0') in [
-            new_model._pressure,
-            new_model._area,
-            new_model.component._temperature,
-        ]
-        assert (
-            len([param for param in global_object.map.vertices() if param.startswith('Parameter')])
-            == 3
-        )
+        assert global_object.map.get_item_by_key('Parameter_0') in [new_model._pressure, new_model._area, new_model.component._temperature]
+        assert len([param for param in global_object.map.vertices() if param.startswith('Parameter')]) == 3
 
     def test_from_dict_not_easyscience(self):
         # When
         obj_dict = {
             '@module': 'some.other.module',
             '@class': 'NotAnEasyScienceObject',
-            'some_property': 42,
+            'some_property': 42
         }
         # Then / Expect
-        with pytest.raises(
-            ValueError, match='Input must be a dictionary representing an EasyScience object.'
-        ):
+        with pytest.raises(ValueError, match='Input must be a dictionary representing an EasyScience object.'):
             MockModelComponent.from_dict(obj_dict)
 
     def test_from_dict_wrong_class(self):
@@ -277,45 +228,25 @@ def test_from_dict_wrong_class(self):
         obj_dict = {
             '@module': 'easyscience.base_classes.model_base',
             '@class': 'SomeOtherClass',
-            'some_property': 42,
+            'some_property': 42
         }
         # Then / Expect
-        with pytest.raises(
-            ValueError,
-            match='Class name in dictionary does not match the expected class: MockModelComponent.',
-        ):
+        with pytest.raises(ValueError, match='Class name in dictionary does not match the expected class: MockModelComponent.'):
             MockModelComponent.from_dict(obj_dict)
 
     def test_from_dict_parameter_setting_failure(self, monkeypatch, clear):
         # When
         model = MockModelComponent()
         model.temperature.min = -100
-        obj_dict = (
-            model.to_dict()
-        )  # We only care about deserializing dictorionaries currently created by EasyScience
+        obj_dict = model.to_dict() # We only care about deserializing dictorionaries currently created by EasyScience
         obj_dict['@module'] = 'easyscience.base_classes.model_base'
-        monkeypatch.setattr(
-            SerializerBase,
-            '_import_class',
-            MagicMock(
-                side_effect=lambda module_name, class_name: (
-                    MockModelComponent
-                    if class_name == 'MockModelComponent'
-                    else Parameter
-                    if class_name == 'Parameter'
-                    else DescriptorNumber
-                )
-            ),
-        )
-        monkeypatch.setattr(
-            MockModelComponent,
-            'temperature',
-            property(lambda self: (_ for _ in ()).throw(Exception('Simulated failure'))),
-        )
+        monkeypatch.setattr(SerializerBase, '_import_class', MagicMock(side_effect=lambda module_name, class_name: 
+                                                                       MockModelComponent if class_name == 'MockModelComponent' 
+                                                                       else Parameter if class_name == 'Parameter' 
+                                                                       else DescriptorNumber)
+                                                                       )
+        monkeypatch.setattr(MockModelComponent, 'temperature', property(lambda self: (_ for _ in ()).throw(Exception("Simulated failure"))))
         global_object.map._clear()
         # Then Expect
-        with pytest.raises(
-            SyntaxError,
-            match='Could not set parameter temperature during `from_dict` with full deserialized variable.',
-        ):
-            MockModelComponent.from_dict(obj_dict)
+        with pytest.raises(SyntaxError, match='Could not set parameter temperature during `from_dict` with full deserialized variable.'):
+            MockModelComponent.from_dict(obj_dict)
\ No newline at end of file
diff --git a/tests/unit/base_classes/test_new_base.py b/tests/unit_tests/base_classes/test_new_base.py
similarity index 76%
rename from tests/unit/base_classes/test_new_base.py
rename to tests/unit_tests/base_classes/test_new_base.py
index e1562860..e9ca79d7 100644
--- a/tests/unit/base_classes/test_new_base.py
+++ b/tests/unit_tests/base_classes/test_new_base.py
@@ -1,13 +1,13 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import pytest
-
 from easyscience import global_object
 from easyscience.base_classes import NewBase
 
-
 class TestNewBase:
+
     @pytest.fixture
     def clear(self):
         # Clear the global object map before each test
@@ -24,12 +24,12 @@ def test_constructor_defaults(self, clear):
 
     def test_constructor_with_arguments(self):
         # When Then
-        obj = NewBase(unique_name='custom_name', display_name='My Object')
+        obj = NewBase(unique_name="custom_name", display_name="My Object")
         # Expect
-        assert obj._unique_name == 'custom_name'
+        assert obj._unique_name == "custom_name"
         assert obj._default_unique_name is False
-        assert obj._display_name == 'My Object'
-        assert global_object.map.get_item_by_key('custom_name') is obj
+        assert obj._display_name == "My Object"
+        assert global_object.map.get_item_by_key("custom_name") is obj
 
     def test_constructor_invalid_unique_name(self):
         # When Then Expect
@@ -54,12 +54,12 @@ def test_unique_name_setter(self, clear):
         # When
         obj = NewBase()
         # Then
-        obj.unique_name = 'new_unique_name'
+        obj.unique_name = "new_unique_name"
         # Expect
-        assert obj.unique_name == 'new_unique_name'
+        assert obj.unique_name == "new_unique_name"
         assert obj._default_unique_name is False
-        assert global_object.map.get_item_by_key('new_unique_name') is obj
-        assert global_object.map.get_item_by_key('NewBase_0') is obj
+        assert global_object.map.get_item_by_key("new_unique_name") is obj
+        assert global_object.map.get_item_by_key("NewBase_0") is obj
 
     def test_unique_name_setter_invalid(self):
         # When
@@ -81,10 +81,10 @@ def test_display_name_setter(self):
         # When
         obj = NewBase()
         # Then
-        obj.display_name = 'Pretty Name'
+        obj.display_name = "Pretty Name"
         # Expect
-        assert obj.display_name == 'Pretty Name'
-        assert obj._display_name == 'Pretty Name'
+        assert obj.display_name == "Pretty Name"
+        assert obj._display_name == "Pretty Name"
 
     def test_display_name_setter_invalid(self):
         # When
@@ -95,13 +95,13 @@ def test_display_name_setter_invalid(self):
 
     def test_to_dict_full_params(self):
         # When
-        obj = NewBase(unique_name='test_name', display_name='Test Object')
+        obj = NewBase(unique_name="test_name", display_name="Test Object")
         # Then
         obj_dict = obj.to_dict()
         # Expect
         assert isinstance(obj_dict, dict)
-        assert obj_dict['unique_name'] == 'test_name'
-        assert obj_dict['display_name'] == 'Test Object'
+        assert obj_dict['unique_name'] == "test_name"
+        assert obj_dict['display_name'] == "Test Object"
         assert obj_dict['@module'] == 'easyscience.base_classes.new_base'
         assert obj_dict['@class'] == 'NewBase'
         assert '@version' in obj_dict
@@ -121,12 +121,12 @@ def test_to_dict_default_params(self):
 
     def test_to_dict_with_skip(self):
         # When
-        obj = NewBase(unique_name='skip_test', display_name='Skip Test Object')
+        obj = NewBase(unique_name="skip_test", display_name="Skip Test Object")
         # Then
         obj_dict = obj.to_dict(skip=['display_name'])
         # Expect
         assert isinstance(obj_dict, dict)
-        assert obj_dict['unique_name'] == 'skip_test'
+        assert obj_dict['unique_name'] == "skip_test"
         assert 'display_name' not in obj_dict
         assert obj_dict['@module'] == 'easyscience.base_classes.new_base'
         assert obj_dict['@class'] == 'NewBase'
@@ -138,7 +138,7 @@ def test_from_dict(self):
             '@module': 'easyscience.base_classes.new_base',
             '@class': 'NewBase',
             'unique_name': 'from_dict_name',
-            'display_name': 'From Dict Object',
+            'display_name': 'From Dict Object'
         }
         # Then
         obj = NewBase.from_dict(obj_dict)
@@ -154,12 +154,10 @@ def test_from_dict_not_easyscience(self):
             '@module': 'some.other.module',
             '@class': 'NewBase',
             'unique_name': 'invalid_from_dict',
-            'display_name': 'Invalid From Dict Object',
+            'display_name': 'Invalid From Dict Object'
         }
         # Then Expect
-        with pytest.raises(
-            ValueError, match='Input must be a dictionary representing an EasyScience object.'
-        ):
+        with pytest.raises(ValueError, match='Input must be a dictionary representing an EasyScience object.'):
             NewBase.from_dict(obj_dict)
 
     def test_from_dict_wrong_class(self):
@@ -168,13 +166,10 @@ def test_from_dict_wrong_class(self):
             '@module': 'easyscience.base_classes.new_base',
             '@class': 'SomeOtherClass',
             'unique_name': 'wrong_class_name',
-            'display_name': 'Wrong Class Object',
+            'display_name': 'Wrong Class Object'
         }
         # Then Expect
-        with pytest.raises(
-            ValueError,
-            match='Class name in dictionary does not match the expected class: NewBase.',
-        ):
+        with pytest.raises(ValueError, match='Class name in dictionary does not match the expected class: NewBase.'):
             NewBase.from_dict(obj_dict)
 
     def test__dir__(self):
@@ -194,7 +189,7 @@ def test__dir__(self):
 
     def test_copy(self):
         # When
-        obj = NewBase(unique_name='original_name', display_name='Original Object')
+        obj = NewBase(unique_name="original_name", display_name="Original Object")
         # Then
         obj_copy = obj.__copy__()
         # Expect
@@ -205,13 +200,12 @@ def test_copy(self):
 
     def test_deepcopy(self):
         # When
-        obj = NewBase(unique_name='deepcopy_name', display_name='Deep Copy Object')
+        obj = NewBase(unique_name="deepcopy_name", display_name="Deep Copy Object")
         # Then
         import copy
-
         obj_deepcopy = copy.deepcopy(obj)
         # Expect
         assert isinstance(obj_deepcopy, NewBase)
         assert obj_deepcopy.unique_name != obj.unique_name
         assert obj_deepcopy.display_name == obj.display_name
-        assert global_object.map.get_item_by_key(obj_deepcopy.unique_name) is obj_deepcopy
+        assert global_object.map.get_item_by_key(obj_deepcopy.unique_name) is obj_deepcopy
\ No newline at end of file
diff --git a/tests/unit/base_classes/test_obj_base.py b/tests/unit_tests/base_classes/test_obj_base.py
similarity index 59%
rename from tests/unit/base_classes/test_obj_base.py
rename to tests/unit_tests/base_classes/test_obj_base.py
index 357aa4f1..f004e9af 100644
--- a/tests/unit/base_classes/test_obj_base.py
+++ b/tests/unit_tests/base_classes/test_obj_base.py
@@ -1,8 +1,11 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 from contextlib import contextmanager
 from copy import copy
+
 from typing import ClassVar
 from typing import List
 from typing import Optional
@@ -13,54 +16,56 @@
 import pytest
 
 import easyscience
-from easyscience import DescriptorNumber
 from easyscience import ObjBase
+from easyscience import DescriptorNumber
 from easyscience import Parameter
 from easyscience import global_object
 from easyscience.io import SerializerDict
 
-
 @pytest.fixture
 def clear():
     global_object.map._clear()
 
-
 @pytest.fixture
 def setup_pars():
     d = {
-        'name': 'test',
-        'par1': Parameter('p1', 0.1, fixed=True),
-        'des1': DescriptorNumber('d1', 0.1),
-        'par2': Parameter('p2', 0.1),
-        'des2': DescriptorNumber('d2', 0.1),
-        'par3': Parameter('p3', 0.1),
+        "name": "test",
+        "par1": Parameter("p1", 0.1, fixed=True),
+        "des1": DescriptorNumber("d1", 0.1),
+        "par2": Parameter("p2", 0.1),
+        "des2": DescriptorNumber("d2", 0.1),
+        "par3": Parameter("p3", 0.1),
     }
     return d
 
 
 @contextmanager
-def not_raises(expected_exception: Union[Type[BaseException], List[Type[BaseException]]]):
+def not_raises(
+    expected_exception: Union[Type[BaseException], List[Type[BaseException]]]
+):
     try:
         yield
     except expected_exception:
         raise pytest.fail(
-            'Did raise exception {0} when it should not.'.format(repr(expected_exception))
+            "Did raise exception {0} when it should not.".format(
+                repr(expected_exception)
+            )
         )
     except Exception as err:
-        raise pytest.fail('An unexpected exception {0} raised.'.format(repr(err)))
+        raise pytest.fail("An unexpected exception {0} raised.".format(repr(err)))
 
 
 @pytest.mark.parametrize(
-    'a, kw',
+    "a, kw",
     [
-        ([], ['par1']),
-        (['par1'], []),
-        (['par1'], ['par2']),
-        (['par1', 'des1'], ['par2', 'des2']),
+        ([], ["par1"]),
+        (["par1"], []),
+        (["par1"], ["par2"]),
+        (["par1", "des1"], ["par2", "des2"]), 
     ],
 )
 def test_ObjBase_create(setup_pars: dict, a: List[str], kw: List[str]):
-    name = setup_pars['name']
+    name = setup_pars["name"]
     args = []
     for key in a:
         args.append(setup_pars[key])
@@ -76,12 +81,12 @@ def test_ObjBase_create(setup_pars: dict, a: List[str], kw: List[str]):
 
 def test_ObjBase_copy(setup_pars: dict):
     # When
-    name = setup_pars['name']
+    name = setup_pars["name"]
     args = []
-    for key in ['par1', 'des1']:
+    for key in ["par1", "des1"]:
         args.append(setup_pars[key])
     kwargs = {}
-    for key in ['par2', 'des2']:
+    for key in ["par2", "des2"]:
         kwargs[key] = setup_pars[key]
     base = ObjBase(name, None, *args, **kwargs)
 
@@ -92,15 +97,15 @@ def test_ObjBase_copy(setup_pars: dict):
     assert base_copy.name == name
     assert base_copy.unique_name != base.unique_name
 
-    for key in ['par1', 'des1']:
+    for key in ["par1", "des1"]:
         item = getattr(base, setup_pars[key].name)
         assert isinstance(item, setup_pars[key].__class__)
 
 
 def test_ObjBase_get(setup_pars: dict):
-    name = setup_pars['name']
-    explicit_name1 = 'par1'
-    explicit_name2 = 'par2'
+    name = setup_pars["name"]
+    explicit_name1 = "par1"
+    explicit_name2 = "par2"
     kwargs = {
         setup_pars[explicit_name1].name: setup_pars[explicit_name1],
         setup_pars[explicit_name2].name: setup_pars[explicit_name2],
@@ -113,8 +118,8 @@ def test_ObjBase_get(setup_pars: dict):
 
 
 def test_ObjBase_set(setup_pars: dict):
-    name = setup_pars['name']
-    explicit_name1 = 'par1'
+    name = setup_pars["name"]
+    explicit_name1 = "par1"
     kwargs = {
         setup_pars[explicit_name1].name: setup_pars[explicit_name1],
     }
@@ -126,15 +131,15 @@ def test_ObjBase_set(setup_pars: dict):
 
 
 def test_ObjBase_get_parameters(setup_pars: dict):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = ObjBase(name, **setup_pars)
     pars = obj.get_fit_parameters()
     assert isinstance(pars, list)
     assert len(pars) == 2
     par_names = [par.name for par in pars]
-    assert 'p2' in par_names
-    assert 'p3' in par_names
+    assert "p2" in par_names
+    assert "p3" in par_names
 
 
 def test_ObjBase_fit_objects(setup_pars: dict):
@@ -142,83 +147,83 @@ def test_ObjBase_fit_objects(setup_pars: dict):
 
 
 def test_ObjBase_as_dict(clear, setup_pars: dict):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = ObjBase(name, **setup_pars)
     obtained = obj.as_dict()
     assert isinstance(obtained, dict)
     expected = {
-        '@module': 'easyscience.base_classes.obj_base',
-        '@class': 'ObjBase',
-        '@version': easyscience.__version__,
-        'name': 'test',
-        'par1': {
-            '@module': Parameter.__module__,
-            '@class': Parameter.__name__,
-            '@version': easyscience.__version__,
-            'name': 'p1',
-            'value': 0.1,
-            'variance': 0.0,
-            'min': -np.inf,
-            'max': np.inf,
-            'fixed': True,
-            'unit': 'dimensionless',
+        "@module": "easyscience.base_classes.obj_base",
+        "@class": "ObjBase",
+        "@version": easyscience.__version__,
+        "name": "test",
+        "par1": {
+            "@module": Parameter.__module__,
+            "@class": Parameter.__name__,
+            "@version": easyscience.__version__,
+            "name": "p1",
+            "value": 0.1,
+            "variance": 0.0,
+            "min": -np.inf,
+            "max": np.inf,
+            "fixed": True,
+            "unit": "dimensionless",
         },
-        'des1': {
-            '@module': DescriptorNumber.__module__,
-            '@class': DescriptorNumber.__name__,
-            '@module': DescriptorNumber.__module__,
-            '@class': DescriptorNumber.__name__,
-            '@version': easyscience.__version__,
-            'name': 'd1',
-            'value': 0.1,
-            'unit': 'dimensionless',
-            'description': '',
-            'url': '',
-            'display_name': 'd1',
+        "des1": {
+            "@module": DescriptorNumber.__module__,
+            "@class": DescriptorNumber.__name__,
+            "@module": DescriptorNumber.__module__,
+            "@class": DescriptorNumber.__name__,
+            "@version": easyscience.__version__,
+            "name": "d1",
+            "value": 0.1,
+            "unit": "dimensionless",
+            "description": "",
+            "url": "",
+            "display_name": "d1",
         },
-        'par2': {
-            '@module': Parameter.__module__,
-            '@class': Parameter.__name__,
-            '@version': easyscience.__version__,
-            'name': 'p2',
-            'value': 0.1,
-            'variance': 0.0,
-            'min': -np.inf,
-            'max': np.inf,
-            'fixed': False,
-            'unit': 'dimensionless',
+        "par2": {
+            "@module": Parameter.__module__,
+            "@class": Parameter.__name__,
+            "@version": easyscience.__version__,
+            "name": "p2",
+            "value": 0.1,
+            "variance": 0.0,
+            "min": -np.inf,
+            "max": np.inf,
+            "fixed": False,
+            "unit": "dimensionless",
         },
-        'des2': {
-            '@module': DescriptorNumber.__module__,
-            '@class': DescriptorNumber.__name__,
-            '@module': DescriptorNumber.__module__,
-            '@class': DescriptorNumber.__name__,
-            '@version': easyscience.__version__,
-            'name': 'd2',
-            'value': 0.1,
-            'unit': 'dimensionless',
-            'description': '',
-            'url': '',
-            'display_name': 'd2',
+        "des2": {
+            "@module": DescriptorNumber.__module__,
+            "@class": DescriptorNumber.__name__,
+            "@module": DescriptorNumber.__module__,
+            "@class": DescriptorNumber.__name__,
+            "@version": easyscience.__version__,
+            "name": "d2",
+            "value": 0.1,
+            "unit": "dimensionless",
+            "description": "",
+            "url": "",
+            "display_name": "d2",
         },
-        'par3': {
-            '@module': Parameter.__module__,
-            '@class': Parameter.__name__,
-            '@version': easyscience.__version__,
-            'name': 'p3',
-            'value': 0.1,
-            'variance': 0.0,
-            'min': -np.inf,
-            'max': np.inf,
-            'fixed': False,
-            'unit': 'dimensionless',
+        "par3": {
+            "@module": Parameter.__module__,
+            "@class": Parameter.__name__,
+            "@version": easyscience.__version__,
+            "name": "p3",
+            "value": 0.1,
+            "variance": 0.0,
+            "min": -np.inf,
+            "max": np.inf,
+            "fixed": False,
+            "unit": "dimensionless",
         },
     }
 
     def check_dict(check, item):
         if isinstance(check, dict) and isinstance(item, dict):
-            if '@module' in item.keys():
+            if "@module" in item.keys():
                 with not_raises([ValueError, AttributeError]):
                     global_object.map._clear()
                     this_obj = SerializerDict().decode(item)
@@ -235,8 +240,8 @@ def check_dict(check, item):
 
 def test_ObjBase_dict_roundtrip(clear, setup_pars: dict):
     # When
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = ObjBase(name, **setup_pars, unique_name='special_name')
     obj_dict = obj.as_dict()
 
@@ -251,27 +256,27 @@ def test_ObjBase_dict_roundtrip(clear, setup_pars: dict):
 
 
 def test_ObjBase_dir(setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = ObjBase(name, **setup_pars)
     expected = [
-        'encode',
-        'decode',
-        'as_dict',
-        'des1',
-        'des2',
-        'from_dict',
-        'generate_bindings',
-        'get_fit_parameters',
-        'get_parameters',
-        'interface',
-        'unique_name',
-        'name',
-        'par1',
-        'par2',
-        'par3',
-        'switch_interface',
-        'user_data',
+        "encode",
+        "decode",
+        "as_dict",
+        "des1",
+        "des2",
+        "from_dict",
+        "generate_bindings",
+        "get_fit_parameters",
+        "get_parameters",
+        "interface",
+        "unique_name",
+        "name",
+        "par1",
+        "par2",
+        "par3",
+        "switch_interface",
+        "user_data",
     ]
     obtained = dir(obj)
     print(obtained)
@@ -282,19 +287,19 @@ def test_ObjBase_dir(setup_pars):
 
 
 def test_ObjBase_get_parameters(setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = ObjBase(name, **setup_pars)
     pars = obj.get_parameters()
     assert len(pars) == 3
 
 
 def test_ObjBase_get_parameters_nested(setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = ObjBase(name, **setup_pars)
 
-    name2 = name + '_2'
+    name2 = name + "_2"
     obj2 = ObjBase(name2, obj=obj, **setup_pars)
 
     pars = obj2.get_parameters()
@@ -305,19 +310,19 @@ def test_ObjBase_get_parameters_nested(setup_pars):
 
 
 def test_ObjBase_get_fit_parameters(setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = ObjBase(name, **setup_pars)
     pars = obj.get_fit_parameters()
     assert len(pars) == 2
 
 
 def test_ObjBase_get_fit_parameters_nested(setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = ObjBase(name, **setup_pars)
 
-    name2 = name + '_2'
+    name2 = name + "_2"
     obj2 = ObjBase(name2, obj=obj, **setup_pars)
 
     pars = obj2.get_fit_parameters()
@@ -328,12 +333,12 @@ def test_ObjBase_get_fit_parameters_nested(setup_pars):
 
 
 def test_ObjBase__add_component(setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = ObjBase(name, **setup_pars)
 
-    p = Parameter('added_par', 1)
-    new_item_name = 'Added'
+    p = Parameter("added_par", 1)
+    new_item_name = "Added"
     obj._add_component(new_item_name, p)
 
     assert hasattr(obj, new_item_name)
@@ -342,20 +347,19 @@ def test_ObjBase__add_component(setup_pars):
 
 
 def test_ObjBase_name(setup_pars):
-    name = setup_pars['name']
-    del setup_pars['name']
+    name = setup_pars["name"]
+    del setup_pars["name"]
     obj = ObjBase(name, **setup_pars)
     assert obj.name == name
 
-
 def test_Base_GETSET():
     class A(ObjBase):
         def __init__(self, a: Parameter):
-            super(A, self).__init__('a', a=a)
+            super(A, self).__init__("a", a=a)
 
         @classmethod
         def from_pars(cls, a: float):
-            return cls(a=Parameter('a', a))
+            return cls(a=Parameter("a", a))
 
     a_start = 5
     a_end = 10
@@ -365,7 +369,7 @@ def from_pars(cls, a: float):
     assert a.a.value == a_start
     assert len(graph.get_edges(a)) == 1
 
-    setattr(a, 'a', a_end)
+    setattr(a, "a", a_end)
     assert a.a.value == a_end
     assert len(graph.get_edges(a)) == 1
 
@@ -373,12 +377,12 @@ def from_pars(cls, a: float):
 def test_Base_GETSET():
     class A(ObjBase):
         def __init__(self, a: Parameter):
-            super(A, self).__init__('a', a=a)
+            super(A, self).__init__("a", a=a)
             b = 0
 
         @classmethod
         def from_pars(cls, a: float):
-            return cls(a=Parameter('a', a))
+            return cls(a=Parameter("a", a))
 
     a = A.from_pars(5)
     b_new = 10
@@ -388,14 +392,15 @@ def from_pars(cls, a: float):
 
 def test_Base_GETSET_v2():
     class A(ObjBase):
+
         a: ClassVar[Parameter]
 
         def __init__(self, a: Parameter):
-            super(A, self).__init__('a', a=a)
+            super(A, self).__init__("a", a=a)
 
         @classmethod
         def from_pars(cls, a: float):
-            return cls(a=Parameter('a', a))
+            return cls(a=Parameter("a", a))
 
     a_start = 5
     a_end = 10
@@ -405,21 +410,22 @@ def from_pars(cls, a: float):
     assert a.a.value == a_start
     assert len(graph.get_edges(a)) == 1
 
-    setattr(a, 'a', a_end)
+    setattr(a, "a", a_end)
     assert a.a.value == a_end
     assert len(graph.get_edges(a)) == 1
 
 
 def test_Base_GETSET_v3():
     class A(ObjBase):
+
         a: ClassVar[Parameter]
 
         def __init__(self, a: Parameter):
-            super(A, self).__init__('a', a=a)
+            super(A, self).__init__("a", a=a)
 
         @classmethod
         def from_pars(cls, a: float):
-            return cls(a=Parameter('a', a))
+            return cls(a=Parameter("a", a))
 
     a_start = 5
     a_end = 10
@@ -428,11 +434,11 @@ def from_pars(cls, a: float):
 
     assert a.a.value == a_start
     assert len(graph.get_edges(a)) == 1
-    a_ = Parameter('a', a_end)
+    a_ = Parameter("a", a_end)
     assert a.a.unique_name in graph.get_edges(a)
     a__ = a.a
 
-    setattr(a, 'a', a_)
+    setattr(a, "a", a_)
     assert a.a.value == a_end
     assert len(graph.get_edges(a)) == 1
     assert a_.unique_name in graph.get_edges(a)
@@ -442,7 +448,7 @@ def from_pars(cls, a: float):
 def test_BaseCreation():
     class A(ObjBase):
         def __init__(self, a: Optional[Union[Parameter, float]] = None):
-            super(A, self).__init__('A', a=Parameter('a', 1.0))
+            super(A, self).__init__("A", a=Parameter("a", 1.0))
             if a is not None:
                 self.a = a
 
@@ -450,14 +456,14 @@ def __init__(self, a: Optional[Union[Parameter, float]] = None):
     assert a.a.value == 1.0
     a = A(2.0)
     assert a.a.value == 2.0
-    a = A(Parameter('a', 3.0))
+    a = A(Parameter("a", 3.0))
     assert a.a.value == 3.0
     a.a = 4.0
     assert a.a.value == 4.0
 
     class B(ObjBase):
         def __init__(self, b: Optional[Union[A, Parameter, float]] = None):
-            super(B, self).__init__('B', b=A())
+            super(B, self).__init__("B", b=A())
             if b is not None:
                 if isinstance(b, (float, Parameter)):
                     b = A(b)
@@ -472,27 +478,24 @@ def __init__(self, b: Optional[Union[A, Parameter, float]] = None):
     b.b.a = 4.0
     assert b.b.a.value == 4.0
 
-
 def test_unique_name_generator(clear):
     # When Then
-    test_obj = ObjBase(name='test')
+    test_obj = ObjBase(name="test")
     # Expect
-    assert test_obj.unique_name == 'ObjBase_0'
-
+    assert test_obj.unique_name == "ObjBase_0"
 
 def test_unique_name_change(clear):
     # When
-    test_obj = ObjBase(name='test')
+    test_obj = ObjBase(name="test")
     # Then
-    test_obj.unique_name = 'test'
+    test_obj.unique_name = "test"
     # Expect
-    assert test_obj.unique_name == 'test'
-
+    assert test_obj.unique_name == "test"
 
-@pytest.mark.parametrize('input', [2, 2.0, [2], {2}, None])
+@pytest.mark.parametrize("input", [2, 2.0, [2], {2}, None])
 def test_unique_name_change_exception(input):
     # When
-    test_obj = ObjBase(name='test')
+    test_obj = ObjBase(name="test")
     # Then Expect
     with pytest.raises(TypeError):
-        test_obj.unique_name = input
+        test_obj.unique_name = input
\ No newline at end of file
diff --git a/tests/unit_tests/fitting/__init__.py b/tests/unit_tests/fitting/__init__.py
new file mode 100644
index 00000000..867a21c4
--- /dev/null
+++ b/tests/unit_tests/fitting/__init__.py
@@ -0,0 +1,4 @@
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
+
diff --git a/tests/unit_tests/fitting/calculators/__init__.py b/tests/unit_tests/fitting/calculators/__init__.py
new file mode 100644
index 00000000..867a21c4
--- /dev/null
+++ b/tests/unit_tests/fitting/calculators/__init__.py
@@ -0,0 +1,4 @@
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
+
diff --git a/tests/unit/fitting/calculators/test_interface_factory.py b/tests/unit_tests/fitting/calculators/test_interface_factory.py
similarity index 74%
rename from tests/unit/fitting/calculators/test_interface_factory.py
rename to tests/unit_tests/fitting/calculators/test_interface_factory.py
index cab3b30f..ce7b8542 100644
--- a/tests/unit/fitting/calculators/test_interface_factory.py
+++ b/tests/unit_tests/fitting/calculators/test_interface_factory.py
@@ -1,13 +1,12 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from unittest.mock import MagicMock
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
+from unittest.mock import MagicMock, patch
 import pytest
 
+from easyscience.fitting.calculators.interface_factory import InterfaceFactoryTemplate, ItemContainer
 from easyscience import global_object
-from easyscience.fitting.calculators.interface_factory import InterfaceFactoryTemplate
-from easyscience.fitting.calculators.interface_factory import ItemContainer
 
 
 class TestInterfaceFactoryTemplate:
@@ -17,67 +16,64 @@ def clear(self):
         global_object.map._clear()
         yield
         global_object.map._clear()
-
+    
     @pytest.fixture
     def mock_interface1(self):
         """Create a mock interface class"""
-
         class MockInterface1:
-            name = 'MockInterface1'
-
+            name = "MockInterface1"
+            
             def __init__(self, *args, **kwargs):
                 self.args = args
                 self.kwargs = kwargs
-
+            
             def fit_func(self, *args, **kwargs):
-                return 'result1'
-
+                return "result1"
+            
             def create(self, model):
                 return []
-
+        
         return MockInterface1
-
+    
     @pytest.fixture
     def mock_interface2(self):
         """Create a second mock interface class"""
-
         class MockInterface2:
             def __init__(self, *args, **kwargs):
                 self.args = args
                 self.kwargs = kwargs
-
+            
             def fit_func(self, *args, **kwargs):
-                return 'result2'
-
+                return "result2"
+            
             def create(self, model):
                 return []
-
+        
         return MockInterface2
-
+    
     @pytest.fixture
     def mock_interface_with_custom_name(self):
         """Create a mock interface with custom name attribute"""
-
         class MockInterfaceCustom:
-            name = 'CustomName'
-
+            name = "CustomName"
+            
             def __init__(self, *args, **kwargs):
                 self.args = args
                 self.kwargs = kwargs
-
+            
             def fit_func(self, *args, **kwargs):
-                return 'custom_result'
-
+                return "custom_result"
+            
             def create(self, model):
                 return []
-
+        
         return MockInterfaceCustom
-
+    
     @pytest.fixture
     def factory_single_interface(self, clear, mock_interface1):
         """Create factory with single interface"""
         return InterfaceFactoryTemplate([mock_interface1])
-
+    
     @pytest.fixture
     def factory_multiple_interfaces(self, clear, mock_interface1, mock_interface2):
         """Create factory with multiple interfaces"""
@@ -87,7 +83,7 @@ def test_init_with_single_interface_default_selection(self, clear, mock_interfac
         """Test initialization with single interface uses first as default"""
         # When
         factory = InterfaceFactoryTemplate([mock_interface1])
-
+        
         # Then
         assert factory._interfaces == [mock_interface1]
         assert factory._current_interface == mock_interface1
@@ -103,10 +99,8 @@ def test_init_with_empty_interface_list_raises_error(self, clear):
     def test_init_with_specific_interface_name(self, clear, mock_interface1, mock_interface2):
         """Test initialization with specific interface name"""
         # When
-        factory = InterfaceFactoryTemplate(
-            [mock_interface1, mock_interface2], interface_name='MockInterface2'
-        )
-
+        factory = InterfaceFactoryTemplate([mock_interface1, mock_interface2], interface_name="MockInterface2")
+        
         # Then
         assert factory._current_interface == mock_interface2
         assert isinstance(factory(), mock_interface2)
@@ -114,29 +108,27 @@ def test_init_with_specific_interface_name(self, clear, mock_interface1, mock_in
     def test_init_passes_args_and_kwargs_to_interface(self, clear, mock_interface1):
         """Test that args and kwargs are passed to interface constructor"""
         # When
-        factory = InterfaceFactoryTemplate([mock_interface1], 'arg1', 'arg2', kwarg1='value1')
-
+        factory = InterfaceFactoryTemplate([mock_interface1], "arg1", "arg2", kwarg1="value1")
+        
         # Then
         interface_obj = factory()
-        assert interface_obj.args == ('arg1', 'arg2')
-        assert interface_obj.kwargs == {'kwarg1': 'value1'}
+        assert interface_obj.args == ("arg1", "arg2")
+        assert interface_obj.kwargs == {"kwarg1": "value1"}
 
     def test_create_with_interface_name(self, factory_multiple_interfaces, mock_interface2):
         """Test create method with specific interface name"""
         # When
-        factory_multiple_interfaces.create(interface_name='MockInterface2')
-
+        factory_multiple_interfaces.create(interface_name="MockInterface2")
+        
         # Then
         assert factory_multiple_interfaces._current_interface == mock_interface2
         assert isinstance(factory_multiple_interfaces(), mock_interface2)
 
-    def test_create_without_interface_name_uses_first(
-        self, factory_multiple_interfaces, mock_interface1
-    ):
+    def test_create_without_interface_name_uses_first(self, factory_multiple_interfaces, mock_interface1):
         """Test create method without interface name uses first interface"""
         # When
         factory_multiple_interfaces.create()
-
+        
         # Then
         assert factory_multiple_interfaces._current_interface == mock_interface1
 
@@ -144,10 +136,10 @@ def test_available_interfaces_property(self, factory_multiple_interfaces):
         """Test available_interfaces property returns correct names"""
         # When
         interfaces = factory_multiple_interfaces.available_interfaces
-
+        
         # Then
-        assert 'MockInterface1' in interfaces
-        assert 'MockInterface2' in interfaces
+        assert "MockInterface1" in interfaces
+        assert "MockInterface2" in interfaces
         assert len(interfaces) == 2
 
     def test_current_interface_property(self, factory_single_interface, mock_interface1):
@@ -158,13 +150,13 @@ def test_current_interface_property(self, factory_single_interface, mock_interfa
     def test_current_interface_name_property(self, factory_single_interface):
         """Test current_interface_name property returns correct name"""
         # When/Then
-        assert factory_single_interface.current_interface_name == 'MockInterface1'
+        assert factory_single_interface.current_interface_name == "MockInterface1"
 
     def test_switch_to_valid_interface(self, factory_multiple_interfaces, mock_interface2):
         """Test switching to a valid interface"""
         # When
-        factory_multiple_interfaces.switch('MockInterface2')
-
+        factory_multiple_interfaces.switch("MockInterface2")
+        
         # Then
         assert factory_multiple_interfaces._current_interface == mock_interface2
         assert isinstance(factory_multiple_interfaces(), mock_interface2)
@@ -172,22 +164,20 @@ def test_switch_to_valid_interface(self, factory_multiple_interfaces, mock_inter
     def test_switch_to_invalid_interface_raises_error(self, factory_single_interface):
         """Test switching to invalid interface raises AttributeError"""
         # When/Then
-        with pytest.raises(AttributeError, match='The user supplied interface is not valid'):
-            factory_single_interface.switch('NonExistentInterface')
+        with pytest.raises(AttributeError, match="The user supplied interface is not valid"):
+            factory_single_interface.switch("NonExistentInterface")
 
-    def test_switch_with_fitter_having_fit_object_with_update_bindings(
-        self, factory_single_interface
-    ):
+    def test_switch_with_fitter_having_fit_object_with_update_bindings(self, factory_single_interface):
         """Test switch with fitter that has _fit_object with update_bindings method"""
         # Given
         mock_fit_object = MagicMock()
         mock_fit_object.update_bindings = MagicMock()
         mock_fitter = MagicMock()
         mock_fitter._fit_object = mock_fit_object
-
+        
         # When
-        factory_single_interface.switch('MockInterface1', fitter=mock_fitter)
-
+        factory_single_interface.switch("MockInterface1", fitter=mock_fitter)
+        
         # Then
         mock_fit_object.update_bindings.assert_called_once()
 
@@ -197,10 +187,10 @@ def test_switch_with_fitter_having_generate_bindings(self, factory_single_interf
         mock_fitter = MagicMock()
         mock_fitter.generate_bindings = MagicMock()
         del mock_fitter._fit_object  # Ensure _fit_object doesn't exist
-
+        
         # When
-        factory_single_interface.switch('MockInterface1', fitter=mock_fitter)
-
+        factory_single_interface.switch("MockInterface1", fitter=mock_fitter)
+        
         # Then
         mock_fitter.generate_bindings.assert_called_once()
 
@@ -208,64 +198,64 @@ def test_switch_with_fitter_exception_handling(self, factory_single_interface, c
         """Test switch handles exceptions in fitter binding updates gracefully"""
         # Given
         mock_fit_object = MagicMock()
-        mock_fit_object.update_bindings.side_effect = Exception('Test exception')
+        mock_fit_object.update_bindings.side_effect = Exception("Test exception")
         mock_fitter = MagicMock()
         mock_fitter._fit_object = mock_fit_object
-
+        
         # When
-        factory_single_interface.switch('MockInterface1', fitter=mock_fitter)
-
+        factory_single_interface.switch("MockInterface1", fitter=mock_fitter)
+        
         # Then
         captured = capsys.readouterr()
-        assert 'Unable to auto generate bindings' in captured.out
-        assert 'Test exception' in captured.out
+        assert "Unable to auto generate bindings" in captured.out
+        assert "Test exception" in captured.out
 
     def test_fit_func_property_returns_callable(self, factory_single_interface):
         """Test fit_func property returns a callable"""
         # When
         fit_func = factory_single_interface.fit_func
-
+        
         # Then
         assert callable(fit_func)
 
     def test_fit_func_calls_interface_fit_func(self, factory_single_interface):
         """Test fit_func calls the underlying interface's fit_func"""
         # When
-        result = factory_single_interface.fit_func('arg1', kwarg1='value1')
-
+        result = factory_single_interface.fit_func("arg1", kwarg1="value1")
+        
         # Then
-        assert result == 'result1'
+        assert result == "result1"
 
     def test_call_method(self, factory_single_interface):
         """Test call method delegates to fit_func"""
         # When
-        result = factory_single_interface.call('arg1', kwarg1='value1')
-
+        result = factory_single_interface.call("arg1", kwarg1="value1")
+        
         # Then
-        assert result == 'result1'
+        assert result == "result1"
 
     def test_generate_bindings_with_matching_properties(self, factory_single_interface):
         """Test generate_bindings method with matching properties"""
         # Given
         mock_model = MagicMock()
         mock_prop = MagicMock()
-        mock_prop.name = 'test_param'
+        mock_prop.name = "test_param"
         mock_prop.value = 42
         mock_model._get_linkable_attributes.return_value = [mock_prop]
-
+        
         mock_item = MagicMock()
-        mock_item.name_conversion = {'test_param': 'internal_param'}
+        mock_item.name_conversion = {"test_param": "internal_param"}
         mock_item.make_prop.return_value = MagicMock()
-
+        
         # Mock the interface object's create method
         interface_obj = factory_single_interface()
         interface_obj.create = MagicMock(return_value=[mock_item])
-
+        
         # When
         factory_single_interface.generate_bindings(mock_model)
-
+        
         # Then
-        mock_item.make_prop.assert_called_once_with('test_param')
+        mock_item.make_prop.assert_called_once_with("test_param")
         assert mock_prop._callback is not None
 
     def test_generate_bindings_with_value_no_call_back_property(self, factory_single_interface):
@@ -273,22 +263,22 @@ def test_generate_bindings_with_value_no_call_back_property(self, factory_single
         # Given
         mock_model = MagicMock()
         mock_prop = MagicMock()
-        mock_prop.name = 'test_param'
+        mock_prop.name = "test_param"
         mock_prop.value_no_call_back = 24
         mock_model._get_linkable_attributes.return_value = [mock_prop]
-
+        
         mock_item = MagicMock()
-        mock_item.name_conversion = {'test_param': 'internal_param'}
+        mock_item.name_conversion = {"test_param": "internal_param"}
         mock_callback = MagicMock()
         mock_item.make_prop.return_value = mock_callback
-
+        
         # Mock the interface object's create method
         interface_obj = factory_single_interface()
         interface_obj.create = MagicMock(return_value=[mock_item])
-
+        
         # When
         factory_single_interface.generate_bindings(mock_model)
-
+        
         # Then
         mock_callback.fset.assert_called_once_with(24)
 
@@ -297,19 +287,19 @@ def test_generate_bindings_skips_non_matching_properties(self, factory_single_in
         # Given
         mock_model = MagicMock()
         mock_prop = MagicMock()
-        mock_prop.name = 'non_matching_param'
+        mock_prop.name = "non_matching_param"
         mock_model._get_linkable_attributes.return_value = [mock_prop]
-
+        
         mock_item = MagicMock()
-        mock_item.name_conversion = {'different_param': 'internal_param'}
-
+        mock_item.name_conversion = {"different_param": "internal_param"}
+        
         # Mock the interface object's create method
         interface_obj = factory_single_interface()
         interface_obj.create = MagicMock(return_value=[mock_item])
-
+        
         # When
         factory_single_interface.generate_bindings(mock_model)
-
+        
         # Then
         mock_item.make_prop.assert_not_called()
 
@@ -318,7 +308,7 @@ def test_call_dunder_method_returns_interface_obj(self, factory_single_interface
         # When
         result1 = factory_single_interface()
         result2 = factory_single_interface()
-
+        
         # Then
         assert result1 is not None
         assert result1 is result2  # Should return the same object
@@ -327,84 +317,80 @@ def test_reduce_method_for_pickle_support(self, factory_single_interface):
         """Test __reduce__ method for pickle serialization support"""
         # When
         result = factory_single_interface.__reduce__()
-
+        
         # Then
         assert len(result) == 2
         assert result[0] == InterfaceFactoryTemplate.__state_restore__
         assert result[1][0] == InterfaceFactoryTemplate
-        assert result[1][1] == 'MockInterface1'
+        assert result[1][1] == "MockInterface1"
 
-    def test_state_restore_static_method_implementation_issue(
-        self, clear, mock_interface1, mock_interface2
-    ):
+    def test_state_restore_static_method_implementation_issue(self, clear, mock_interface1, mock_interface2):
         """Test __state_restore__ static method - demonstrates implementation issue"""
         # Given
         original_factory = InterfaceFactoryTemplate([mock_interface1, mock_interface2])
-
+        
         # When/Then - this implementation has a bug where it tries to call cls() without arguments
         # which would fail since the constructor requires interface_list parameter
         with pytest.raises(TypeError):
-            InterfaceFactoryTemplate.__state_restore__(InterfaceFactoryTemplate, 'MockInterface2')
+            InterfaceFactoryTemplate.__state_restore__(
+                InterfaceFactoryTemplate, "MockInterface2"
+            )
 
     def test_return_name_static_method_with_name_attribute(self, mock_interface_with_custom_name):
         """Test return_name static method with interface having name attribute"""
         # When
         name = InterfaceFactoryTemplate.return_name(mock_interface_with_custom_name)
-
+        
         # Then
-        assert name == 'CustomName'
+        assert name == "CustomName"
 
     def test_return_name_static_method_without_name_attribute(self, mock_interface1):
         """Test return_name static method without name attribute uses __name__"""
         # When
         name = InterfaceFactoryTemplate.return_name(mock_interface1)
-
+        
         # Then
-        assert name == 'MockInterface1'
+        assert name == "MockInterface1"
 
-    def test_switch_with_fitter_generate_bindings_exception(
-        self, factory_single_interface, capsys
-    ):
+    def test_switch_with_fitter_generate_bindings_exception(self, factory_single_interface, capsys):
         """Test switch handles exceptions in fitter.generate_bindings gracefully"""
         # Given
         mock_fitter = MagicMock()
-        mock_fitter.generate_bindings.side_effect = Exception('Generate bindings test exception')
+        mock_fitter.generate_bindings.side_effect = Exception("Generate bindings test exception")
         # Ensure _fit_object doesn't exist so it goes to the elif branch
         if hasattr(mock_fitter, '_fit_object'):
             del mock_fitter._fit_object
-
+        
         # When
-        factory_single_interface.switch('MockInterface1', fitter=mock_fitter)
-
+        factory_single_interface.switch("MockInterface1", fitter=mock_fitter)
+        
         # Then
         captured = capsys.readouterr()
-        assert 'Unable to auto generate bindings' in captured.out
-        assert 'Generate bindings test exception' in captured.out
+        assert "Unable to auto generate bindings" in captured.out
+        assert "Generate bindings test exception" in captured.out
 
-    def test_generate_bindings_with_property_without_value_no_call_back(
-        self, factory_single_interface
-    ):
+    def test_generate_bindings_with_property_without_value_no_call_back(self, factory_single_interface):
         """Test generate_bindings handles properties without value_no_call_back (descriptor objects)"""
         # Given
         mock_model = MagicMock()
         mock_prop = MagicMock()
-        mock_prop.name = 'test_param'
+        mock_prop.name = "test_param"
         mock_prop.value = 99  # This will be used since no value_no_call_back attribute
         # Explicitly remove value_no_call_back to force the else branch
         del mock_prop.value_no_call_back
         mock_model._get_linkable_attributes.return_value = [mock_prop]
-
+        
         mock_item = MagicMock()
-        mock_item.name_conversion = {'test_param': 'internal_param'}
+        mock_item.name_conversion = {"test_param": "internal_param"}
         mock_callback = MagicMock()
         mock_item.make_prop.return_value = mock_callback
-
+        
         interface_obj = factory_single_interface()
         interface_obj.create = MagicMock(return_value=[mock_item])
-
+        
         # When
         factory_single_interface.generate_bindings(mock_model)
-
+        
         # Then
         mock_callback.fset.assert_called_once_with(99)
 
@@ -413,63 +399,56 @@ class TestItemContainer:
     @pytest.fixture
     def mock_getter(self):
         """Mock getter function"""
-
         def getter(link_name, key):
-            return f'got_{link_name}_{key}'
-
+            return f"got_{link_name}_{key}"
         return getter
-
+    
     @pytest.fixture
     def mock_setter(self):
         """Mock setter function"""
-
         def setter(link_name, **kwargs):
             pass
-
         return setter
-
+    
     @pytest.fixture
     def item_container(self, mock_getter, mock_setter):
         """Create ItemContainer instance"""
         return ItemContainer(
-            link_name='test_link',
-            name_conversion={'param1': 'internal_param1', 'param2': 'internal_param2'},
+            link_name="test_link",
+            name_conversion={"param1": "internal_param1", "param2": "internal_param2"},
             getter_fn=mock_getter,
-            setter_fn=mock_setter,
+            setter_fn=mock_setter
         )
 
     def test_item_container_creation(self, item_container):
         """Test ItemContainer can be created with required fields"""
         # Then
-        assert item_container.link_name == 'test_link'
-        assert item_container.name_conversion == {
-            'param1': 'internal_param1',
-            'param2': 'internal_param2',
-        }
+        assert item_container.link_name == "test_link"
+        assert item_container.name_conversion == {"param1": "internal_param1", "param2": "internal_param2"}
         assert callable(item_container.getter_fn)
         assert callable(item_container.setter_fn)
 
     def test_convert_key_with_existing_key(self, item_container):
         """Test convert_key method with existing key"""
         # When
-        result = item_container.convert_key('param1')
-
+        result = item_container.convert_key("param1")
+        
         # Then
-        assert result == 'internal_param1'
+        assert result == "internal_param1"
 
     def test_convert_key_with_non_existing_key(self, item_container):
         """Test convert_key method with non-existing key returns None"""
         # When
-        result = item_container.convert_key('non_existing')
-
+        result = item_container.convert_key("non_existing")
+        
         # Then
         assert result is None
 
     def test_make_prop_returns_property(self, item_container):
         """Test make_prop method returns a property object"""
         # When
-        prop = item_container.make_prop('param1')
-
+        prop = item_container.make_prop("param1")
+        
         # Then
         assert isinstance(prop, property)
         assert prop.fget is not None
@@ -478,8 +457,8 @@ def test_make_prop_returns_property(self, item_container):
     def test_make_getter_function_behavior(self, item_container):
         """Test the behavior of the __make_getter method indirectly"""
         # When
-        prop = item_container.make_prop('param1')
-
+        prop = item_container.make_prop("param1")
+        
         # Then
         assert isinstance(prop, property)
         assert prop.fget is not None
@@ -489,20 +468,20 @@ def test_make_setter_function_behavior(self, item_container):
         """Test the behavior of the __make_setter method indirectly"""
         # Given
         setter_calls = []
-
+        
         def mock_setter(link_name, **kwargs):
             setter_calls.append((link_name, kwargs))
-
+        
         container = ItemContainer(
-            link_name='test_link',
-            name_conversion={'param1': 'internal_param1'},
+            link_name="test_link",
+            name_conversion={"param1": "internal_param1"},
             getter_fn=lambda x, y: None,
-            setter_fn=mock_setter,
+            setter_fn=mock_setter
         )
-
+        
         # When
-        prop = container.make_prop('param1')
-
+        prop = container.make_prop("param1")
+        
         # Then
         assert isinstance(prop, property)
         assert prop.fset is not None
@@ -511,12 +490,12 @@ def mock_setter(link_name, **kwargs):
     def test_convert_key_behavior_in_property_creation(self, item_container):
         """Test that convert_key behavior is used correctly in property creation"""
         # When
-        prop1 = item_container.make_prop('param1')  # exists in name_conversion
-        prop2 = item_container.make_prop('non_existing_param')  # doesn't exist
-
+        prop1 = item_container.make_prop("param1")  # exists in name_conversion
+        prop2 = item_container.make_prop("non_existing_param")  # doesn't exist
+        
         # Then
         # Both should create valid property objects
-        assert isinstance(prop1, property)
+        assert isinstance(prop1, property) 
         assert isinstance(prop2, property)
         # The difference is in the internal key mapping which affects runtime behavior
 
@@ -525,36 +504,37 @@ def test_actual_getter_setter_execution(self):
         # Given
         getter_calls = []
         setter_calls = []
-
+        
         def mock_getter(link_name, key):
             getter_calls.append((link_name, key))
-            return f'value_for_{key}'
-
+            return f"value_for_{key}"
+        
         def mock_setter(link_name, **kwargs):
             setter_calls.append((link_name, kwargs))
-
+        
         container = ItemContainer(
-            link_name='test_link',
-            name_conversion={'param1': 'internal_param1'},
+            link_name="test_link",
+            name_conversion={"param1": "internal_param1"},
             getter_fn=mock_getter,
-            setter_fn=mock_setter,
+            setter_fn=mock_setter
         )
-
+        
         # When
-        prop = container.make_prop('param1')
-
+        prop = container.make_prop("param1")
+        
         # Execute the getter function directly (this covers the actual getter execution)
         getter_func = prop.fget
         getter_result = getter_func()  # type: ignore
-
+        
         # Execute the setter function directly (this covers the actual setter execution)
         setter_func = prop.fset
-        setter_func('test_value')  # type: ignore
-
+        setter_func("test_value")  # type: ignore
+        
         # Then
-        assert getter_result == 'value_for_internal_param1'
+        assert getter_result == "value_for_internal_param1"
         assert len(getter_calls) == 1
-        assert getter_calls[0] == ('test_link', 'internal_param1')
-
+        assert getter_calls[0] == ("test_link", "internal_param1")
+        
         assert len(setter_calls) == 1
-        assert setter_calls[0] == ('test_link', {'internal_param1': 'test_value'})
+        assert setter_calls[0] == ("test_link", {"internal_param1": "test_value"})
+
diff --git a/tests/unit_tests/fitting/minimizers/__init__.py b/tests/unit_tests/fitting/minimizers/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/unit/fitting/minimizers/test_factory.py b/tests/unit_tests/fitting/minimizers/test_factory.py
similarity index 51%
rename from tests/unit/fitting/minimizers/test_factory.py
rename to tests/unit_tests/fitting/minimizers/test_factory.py
index 8ee4df6c..323ce8b7 100644
--- a/tests/unit/fitting/minimizers/test_factory.py
+++ b/tests/unit_tests/fitting/minimizers/test_factory.py
@@ -1,15 +1,9 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from unittest.mock import MagicMock
-
-import pytest
-
 from easyscience import AvailableMinimizers
+from easyscience.fitting.minimizers.factory import factory
 from easyscience.fitting.available_minimizers import from_string_to_enum
 from easyscience.fitting.minimizers import MinimizerBase
-from easyscience.fitting.minimizers.factory import factory
-
+from unittest.mock import MagicMock
+import pytest
 
 class TestFactory:
     def pull_minminizer(self, minimizer: AvailableMinimizers) -> MinimizerBase:
@@ -18,78 +12,36 @@ def pull_minminizer(self, minimizer: AvailableMinimizers) -> MinimizerBase:
         minimizer = factory(minimizer, mock_fit_object, mock_fit_function)
         return minimizer
 
-    @pytest.mark.parametrize(
-        'minimizer_method,minimizer_enum',
-        [
-            ('leastsq', AvailableMinimizers.LMFit),
-            ('leastsq', AvailableMinimizers.LMFit_leastsq),
-            ('powell', AvailableMinimizers.LMFit_powell),
-            ('cobyla', AvailableMinimizers.LMFit_cobyla),
-            ('differential_evolution', AvailableMinimizers.LMFit_differential_evolution),
-            ('least_squares', AvailableMinimizers.LMFit_scipy_least_squares),
-        ],
-    )
+    @pytest.mark.parametrize('minimizer_method,minimizer_enum', [('leastsq', AvailableMinimizers.LMFit), ('leastsq', AvailableMinimizers.LMFit_leastsq), ('powell', AvailableMinimizers.LMFit_powell), ('cobyla', AvailableMinimizers.LMFit_cobyla), ('differential_evolution', AvailableMinimizers.LMFit_differential_evolution), ('least_squares', AvailableMinimizers.LMFit_scipy_least_squares)])
     def test_factory_lm_fit(self, minimizer_method, minimizer_enum):
         minimizer = self.pull_minminizer(minimizer_enum)
         assert minimizer._method == minimizer_method
         assert minimizer.package == 'lmfit'
 
-    @pytest.mark.parametrize(
-        'minimizer_method,minimizer_enum',
-        [
-            ('amoeba', AvailableMinimizers.Bumps),
-            ('amoeba', AvailableMinimizers.Bumps_simplex),
-            ('newton', AvailableMinimizers.Bumps_newton),
-            ('lm', AvailableMinimizers.Bumps_lm),
-        ],
-    )
+    @pytest.mark.parametrize('minimizer_method,minimizer_enum', [('amoeba', AvailableMinimizers.Bumps), ('amoeba', AvailableMinimizers.Bumps_simplex), ('newton', AvailableMinimizers.Bumps_newton), ('lm', AvailableMinimizers.Bumps_lm)])
     def test_factory_bumps_fit(self, minimizer_method, minimizer_enum):
         minimizer = self.pull_minminizer(minimizer_enum)
         assert minimizer._method == minimizer_method
         assert minimizer.package == 'bumps'
 
-    @pytest.mark.parametrize(
-        'minimizer_method,minimizer_enum',
-        [('leastsq', AvailableMinimizers.DFO), ('leastsq', AvailableMinimizers.DFO_leastsq)],
-    )
+    @pytest.mark.parametrize('minimizer_method,minimizer_enum', [('leastsq', AvailableMinimizers.DFO), ('leastsq', AvailableMinimizers.DFO_leastsq)])
     def test_factory_dfo_fit(self, minimizer_method, minimizer_enum):
         minimizer = self.pull_minminizer(minimizer_enum)
         assert minimizer._method == minimizer_method
         assert minimizer.package == 'dfo'
 
 
-@pytest.mark.parametrize(
-    'minimizer_name,expected',
-    [
-        ('LMFit', AvailableMinimizers.LMFit),
-        ('LMFit_leastsq', AvailableMinimizers.LMFit_leastsq),
-        ('LMFit_powell', AvailableMinimizers.LMFit_powell),
-        ('LMFit_cobyla', AvailableMinimizers.LMFit_cobyla),
-        ('LMFit_differential_evolution', AvailableMinimizers.LMFit_differential_evolution),
-        ('LMFit_scipy_least_squares', AvailableMinimizers.LMFit_scipy_least_squares),
-    ],
-)
+@pytest.mark.parametrize('minimizer_name,expected', [('LMFit', AvailableMinimizers.LMFit), ('LMFit_leastsq', AvailableMinimizers.LMFit_leastsq), ('LMFit_powell', AvailableMinimizers.LMFit_powell), ('LMFit_cobyla', AvailableMinimizers.LMFit_cobyla), ('LMFit_differential_evolution', AvailableMinimizers.LMFit_differential_evolution), ('LMFit_scipy_least_squares', AvailableMinimizers.LMFit_scipy_least_squares) ])
 def test_from_string_to_enum_lmfit(minimizer_name, expected):
     assert from_string_to_enum(minimizer_name) == expected
 
 
-@pytest.mark.parametrize(
-    'minimizer_name,expected',
-    [
-        ('Bumps', AvailableMinimizers.Bumps),
-        ('Bumps_simplex', AvailableMinimizers.Bumps_simplex),
-        ('Bumps_newton', AvailableMinimizers.Bumps_newton),
-        ('Bumps_lm', AvailableMinimizers.Bumps_lm),
-    ],
-)
+@pytest.mark.parametrize('minimizer_name,expected', [('Bumps', AvailableMinimizers.Bumps), ('Bumps_simplex', AvailableMinimizers.Bumps_simplex), ('Bumps_newton', AvailableMinimizers.Bumps_newton), ('Bumps_lm', AvailableMinimizers.Bumps_lm)])
 def test_from_string_to_enum_bumps(minimizer_name, expected):
     assert from_string_to_enum(minimizer_name) == expected
 
 
-@pytest.mark.parametrize(
-    'minimizer_name,expected',
-    [('DFO', AvailableMinimizers.DFO), ('DFO_leastsq', AvailableMinimizers.DFO_leastsq)],
-)
+@pytest.mark.parametrize('minimizer_name,expected', [('DFO', AvailableMinimizers.DFO), ('DFO_leastsq', AvailableMinimizers.DFO_leastsq)])
 def test_from_string_to_enum_dfo(minimizer_name, expected):
     assert from_string_to_enum(minimizer_name) == expected
 
@@ -107,4 +59,4 @@ def test_available_minimizers():
     assert AvailableMinimizers.Bumps_lm
     assert AvailableMinimizers.DFO
     assert AvailableMinimizers.DFO_leastsq
-    assert len(AvailableMinimizers) == 12
+    assert len(AvailableMinimizers) == 12
\ No newline at end of file
diff --git a/tests/unit/fitting/minimizers/test_minimizer_base.py b/tests/unit_tests/fitting/minimizers/test_minimizer_base.py
similarity index 78%
rename from tests/unit/fitting/minimizers/test_minimizer_base.py
rename to tests/unit_tests/fitting/minimizers/test_minimizer_base.py
index 86ec4292..e4fcb005 100644
--- a/tests/unit/fitting/minimizers/test_minimizer_base.py
+++ b/tests/unit_tests/fitting/minimizers/test_minimizer_base.py
@@ -1,31 +1,30 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+import pytest
+
+from unittest.mock import MagicMock
 
 from inspect import Parameter as InspectParameter
 from inspect import Signature
 from inspect import _empty
-from unittest.mock import MagicMock
-
-import pytest
 
-from easyscience import Parameter
 from easyscience.fitting.minimizers.minimizer_base import MinimizerBase
 from easyscience.fitting.minimizers.utils import FitError
+from easyscience import Parameter
 
-
-class TestMinimizerBase:
+class TestMinimizerBase():
     @pytest.fixture
     def minimizer(self):
         # This avoids the error: TypeError: Can't instantiate abstract class with abstract methods __init__
         MinimizerBase.__abstractmethods__ = set()
         MinimizerBase.supported_methods = MagicMock(return_value=['method'])
 
-        self._mock_minimizer_enum = MagicMock(package='package', method='method')
+        self._mock_minimizer_enum = MagicMock(package='package', method='method') 
         minimizer = MinimizerBase(
-            obj='obj', fit_function='fit_function', minimizer_enum=self._mock_minimizer_enum
+            obj='obj',
+            fit_function='fit_function',
+            minimizer_enum=self._mock_minimizer_enum
         )
         return minimizer
-
+    
     def test_init_exception(self):
         # When Then
         MinimizerBase.__abstractmethods__ = set()
@@ -35,8 +34,8 @@ def test_init_exception(self):
         with pytest.raises(FitError):
             MinimizerBase(
                 obj='obj',
-                fit_function='fit_function',
-                minimizer_enum=MagicMock(package='package', method='not_a_method'),
+                fit_function='fit_function', 
+                minimizer_enum=MagicMock(package='package', method='not_a_method')
             )
 
     def test_init(self, minimizer: MinimizerBase):
@@ -47,51 +46,35 @@ def test_init(self, minimizer: MinimizerBase):
         assert minimizer._cached_pars_vals == {}
         assert minimizer._cached_model == None
         assert minimizer._fit_function == None
-
+    
     def test_enum(self, minimizer: MinimizerBase):
         assert minimizer.enum == self._mock_minimizer_enum
 
     def test_evaluate(self, minimizer: MinimizerBase):
         # When
         minimizer._fit_function = MagicMock(return_value='fit_function_return')
-        minimizer._prepare_parameters = MagicMock(
-            return_value={'prepared_parms_key': 'prepared_parms_val'}
-        )
+        minimizer._prepare_parameters = MagicMock(return_value={'prepared_parms_key': 'prepared_parms_val'})
 
         # Then
-        result = minimizer.evaluate(
-            'x',
-            minimizer_parameters={'parms_key': 'parms_val'},
-            kwargs={'kwargs_key': 'kwargs_val'},
-        )
+        result = minimizer.evaluate('x', minimizer_parameters={'parms_key': 'parms_val'}, kwargs={'kwargs_key': 'kwargs_val'})
 
         # Expect
         assert result == 'fit_function_return'
-        minimizer._fit_function.assert_called_once_with(
-            'x', prepared_parms_key='prepared_parms_val', kwargs={'kwargs_key': 'kwargs_val'}
-        )
+        minimizer._fit_function.assert_called_once_with('x', prepared_parms_key='prepared_parms_val', kwargs={'kwargs_key': 'kwargs_val'})
         minimizer._prepare_parameters.assert_called_once_with({'parms_key': 'parms_val'})
 
     def test_evaluate_no_fit_function(self, minimizer: MinimizerBase):
         # When
         mock_fit_function = MagicMock()
         minimizer._fit_function = None
-        minimizer._prepare_parameters = MagicMock(
-            return_value={'prepared_parms_key': 'prepared_parms_val'}
-        )
+        minimizer._prepare_parameters = MagicMock(return_value={'prepared_parms_key': 'prepared_parms_val'})
         minimizer._generate_fit_function = MagicMock(return_value=mock_fit_function)
 
         # Then
-        minimizer.evaluate(
-            'x',
-            minimizer_parameters={'parms_key': 'parms_val'},
-            kwargs={'kwargs_key': 'kwargs_val'},
-        )
+        minimizer.evaluate('x', minimizer_parameters={'parms_key': 'parms_val'}, kwargs={'kwargs_key': 'kwargs_val'})
 
         # Expect
-        mock_fit_function.assert_called_once_with(
-            'x', prepared_parms_key='prepared_parms_val', kwargs={'kwargs_key': 'kwargs_val'}
-        )
+        mock_fit_function.assert_called_once_with('x', prepared_parms_key='prepared_parms_val', kwargs={'kwargs_key': 'kwargs_val'})
         minimizer._prepare_parameters.assert_called_once_with({'parms_key': 'parms_val'})
 
     def test_evaluate_no_parameters(self, minimizer: MinimizerBase):
@@ -116,9 +99,16 @@ def test_evaluate_exception(self, minimizer: MinimizerBase):
 
     def test_prepare_parameters(self, minimizer: MinimizerBase):
         # When
-        parameters = {'pa': 1, 'pb': 2}
-
-        minimizer._cached_pars = {'a': MagicMock(), 'b': MagicMock(), 'c': MagicMock()}
+        parameters = {
+            'pa': 1,
+            'pb': 2
+        }
+
+        minimizer._cached_pars = {
+            'a': MagicMock(),
+            'b': MagicMock(),
+            'c': MagicMock()
+        }
         minimizer._cached_pars['a'].value = 3
         minimizer._cached_pars['b'].value = 4
         minimizer._cached_pars['c'].value = 5
@@ -127,7 +117,11 @@ def test_prepare_parameters(self, minimizer: MinimizerBase):
         parameters = minimizer._prepare_parameters(parameters)
 
         # Expect
-        assert parameters == {'pa': 1, 'pb': 2, 'pc': 5}
+        assert parameters == {
+            'pa': 1,
+            'pb': 2,
+            'pc': 5
+        }
 
     def test_generate_fit_function(self, minimizer: MinimizerBase) -> None:
         # When
@@ -165,16 +159,12 @@ def test_create_signature(self, minimizer: MinimizerBase) -> None:
 
         # Then
         signature = minimizer._create_signature(pars)
-
+        
         # Expect
         wrapped_parameters = [
             InspectParameter('x', InspectParameter.POSITIONAL_OR_KEYWORD, annotation=_empty),
-            InspectParameter(
-                'p1', InspectParameter.POSITIONAL_OR_KEYWORD, annotation=_empty, default=1.0
-            ),
-            InspectParameter(
-                'p2', InspectParameter.POSITIONAL_OR_KEYWORD, annotation=_empty, default=2.0
-            ),
+            InspectParameter('p1', InspectParameter.POSITIONAL_OR_KEYWORD, annotation=_empty, default=1.0),
+            InspectParameter('p2', InspectParameter.POSITIONAL_OR_KEYWORD, annotation=_empty, default=2.0)
         ]
         expected_signature = Signature(wrapped_parameters)
         assert signature == expected_signature
@@ -187,7 +177,7 @@ def test_get_method_dict(self, minimizer: MinimizerBase) -> None:
         assert result == {'method': 'method'}
 
     def test_get_method_dict_no_self(self, minimizer: MinimizerBase) -> None:
-        # When
+        # When 
         minimizer._method = None
 
         # Then
@@ -213,3 +203,4 @@ def test_get_method_dict_not_supported_method(self, minimizer: MinimizerBase) ->
         # Then Expect
         with pytest.raises(FitError):
             result = minimizer._get_method_kwargs('not_supported_method')
+
diff --git a/tests/unit/fitting/minimizers/test_minimizer_bumps.py b/tests/unit_tests/fitting/minimizers/test_minimizer_bumps.py
similarity index 77%
rename from tests/unit/fitting/minimizers/test_minimizer_bumps.py
rename to tests/unit_tests/fitting/minimizers/test_minimizer_bumps.py
index ba86b4d0..703b0617 100644
--- a/tests/unit/fitting/minimizers/test_minimizer_bumps.py
+++ b/tests/unit_tests/fitting/minimizers/test_minimizer_bumps.py
@@ -1,23 +1,21 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+import pytest
 
 from unittest.mock import MagicMock
-
 import numpy as np
-import pytest
 
 import easyscience.fitting.minimizers.minimizer_bumps
+
 from easyscience.fitting.minimizers.minimizer_bumps import Bumps
 from easyscience.fitting.minimizers.utils import FitError
 
 
-class TestBumpsFit:
+class TestBumpsFit():
     @pytest.fixture
     def minimizer(self) -> Bumps:
         minimizer = Bumps(
             obj='obj',
-            fit_function='fit_function',
-            minimizer_enum=MagicMock(package='bumps', method='amoeba'),
+            fit_function='fit_function', 
+            minimizer_enum=MagicMock(package='bumps', method='amoeba')
         )
         return minimizer
 
@@ -29,8 +27,8 @@ def test_init_exception(self) -> None:
         with pytest.raises(FitError):
             Bumps(
                 obj='obj',
-                fit_function='fit_function',
-                minimizer_enum=MagicMock(package='bumps', method='not_amoeba'),
+                fit_function='fit_function', 
+                minimizer_enum=MagicMock(package='bumps', method='not_amoeba')
             )
 
     def test_all_methods(self, minimizer: Bumps) -> None:
@@ -44,13 +42,10 @@ def test_supported_methods(self, minimizer: Bumps) -> None:
     def test_fit(self, minimizer: Bumps, monkeypatch) -> None:
         # When
         from easyscience import global_object
-
         global_object.stack.enabled = False
 
         mock_bumps_fit = MagicMock(return_value='fit')
-        monkeypatch.setattr(
-            easyscience.fitting.minimizers.minimizer_bumps, 'bumps_fit', mock_bumps_fit
-        )
+        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_bumps, "bumps_fit", mock_bumps_fit)
 
         # Prepare a mock parameter with .name = 'pmock_parm_1'
         mock_bumps_param = MagicMock()
@@ -59,9 +54,7 @@ def test_fit(self, minimizer: Bumps, monkeypatch) -> None:
         mock_FitProblem_instance = MagicMock()
         mock_FitProblem_instance._parameters = [mock_bumps_param]
         mock_FitProblem = MagicMock(return_value=mock_FitProblem_instance)
-        monkeypatch.setattr(
-            easyscience.fitting.minimizers.minimizer_bumps, 'FitProblem', mock_FitProblem
-        )
+        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_bumps, "FitProblem", mock_FitProblem)
 
         mock_model = MagicMock()
         mock_model_function = MagicMock(return_value=mock_model)
@@ -77,9 +70,8 @@ def test_fit(self, minimizer: Bumps, monkeypatch) -> None:
         def fake_set_parameter_fit_result(fit_result, stack_status, par_list):
             # Simulate what the real function does: update _cached_pars
             for index, name in enumerate([par.name for par in par_list]):
-                dict_name = name[len('p') :]  # Remove prefix 'p'
+                dict_name = name[len('p'):]  # Remove prefix 'p'
                 minimizer._cached_pars[dict_name].value = 42  # Arbitrary value
-
         minimizer._set_parameter_fit_result = fake_set_parameter_fit_result
 
         # Then
@@ -93,22 +85,12 @@ def fake_set_parameter_fit_result(fit_result, stack_status, par_list):
         mock_model_function.assert_called_once_with(1.0, 2.0, 1)
         mock_FitProblem.assert_called_once_with(mock_model)
 
-    @pytest.mark.parametrize(
-        'weights',
-        [
-            np.array([1, 2, 3, 4]),
-            np.array([[1, 2, 3], [4, 5, 6]]),
-            np.repeat(np.nan, 3),
-            np.zeros(3),
-            np.repeat(np.inf, 3),
-            -np.ones(3),
-        ],
-        ids=['wrong_length', 'multidimensional', 'NaNs', 'zeros', 'Infs', 'negative'],
-    )
+    @pytest.mark.parametrize("weights", [np.array([1, 2, 3, 4]), np.array([[1, 2, 3], [4, 5, 6]]), np.repeat(np.nan,3), np.zeros(3), np.repeat(np.inf,3), -np.ones(3)], ids=["wrong_length", "multidimensional", "NaNs", "zeros", "Infs", "negative"])
     def test_fit_weight_exceptions(self, minimizer: Bumps, weights) -> None:
         # When Then Expect
         with pytest.raises(ValueError):
             minimizer.fit(x=np.array([1, 2, 3]), y=np.array([1, 2, 3]), weights=weights)
+ 
 
     def test_make_model(self, minimizer: Bumps, monkeypatch) -> None:
         # When
@@ -117,22 +99,20 @@ def test_make_model(self, minimizer: Bumps, monkeypatch) -> None:
 
         mock_parm_1 = MagicMock()
         mock_parm_1.unique_name = 'mock_parm_1'
-        minimizer.convert_to_par_object = MagicMock(return_value='converted_parm_1')
+        minimizer.convert_to_par_object = MagicMock(return_value='converted_parm_1') 
 
         mock_Curve = MagicMock(return_value='curve')
-        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_bumps, 'Curve', mock_Curve)
+        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_bumps, "Curve", mock_Curve)
 
         # Then
         model = minimizer._make_model(parameters=[mock_parm_1])
-        curve_for_model = model(
-            x=np.array([1, 2]), y=np.array([10, 20]), weights=np.array([100, 200])
-        )
+        curve_for_model = model(x=np.array([1, 2]), y=np.array([10, 20]), weights=np.array([100, 200]))
 
         # Expect
         minimizer._generate_fit_function.assert_called_once_with()
         assert mock_Curve.call_args[0][0] == mock_fit_function
-        assert all(mock_Curve.call_args[0][1] == np.array([1, 2]))
-        assert all(mock_Curve.call_args[0][2] == np.array([10, 20]))
+        assert all(mock_Curve.call_args[0][1] == np.array([1,2]))
+        assert all(mock_Curve.call_args[0][2] == np.array([10,20]))
         assert curve_for_model == 'curve'
 
     def test_set_parameter_fit_result_no_stack_status(self, minimizer: Bumps):
@@ -145,7 +125,7 @@ def test_set_parameter_fit_result_no_stack_status(self, minimizer: Bumps):
         minimizer._cached_pars['b'].value = 'b'
 
         mock_cached_model = MagicMock()
-        mock_cached_model.pars = {'pa': 0, 'pb': 0}
+        mock_cached_model.pars = {'pa':0, 'pb': 0}
         minimizer._cached_model = mock_cached_model
 
         mock_fit_result = MagicMock()
@@ -172,9 +152,7 @@ def test_gen_fit_results(self, minimizer: Bumps, monkeypatch):
         # When
         mock_domain_fit_results = MagicMock()
         mock_FitResults = MagicMock(return_value=mock_domain_fit_results)
-        monkeypatch.setattr(
-            easyscience.fitting.minimizers.minimizer_bumps, 'FitResults', mock_FitResults
-        )
+        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_bumps, "FitResults", mock_FitResults)
 
         mock_fit_result = MagicMock()
         mock_fit_result.success = True
@@ -192,29 +170,22 @@ def test_gen_fit_results(self, minimizer: Bumps, monkeypatch):
         mock_cached_par_2.value = 'par_value_2'
         minimizer._cached_pars = {'par_1': mock_cached_par_1, 'par_2': mock_cached_par_2}
 
-        minimizer._p_0 = 'p_0'
+        minimizer._p_0 = 'p_0' 
         minimizer.evaluate = MagicMock(return_value='evaluate')
 
         # Then
-        domain_fit_results = minimizer._gen_fit_results(
-            mock_fit_result, **{'kwargs_set_key': 'kwargs_set_val'}
-        )
+        domain_fit_results = minimizer._gen_fit_results(mock_fit_result, **{'kwargs_set_key': 'kwargs_set_val'})
 
         # Expect
         assert domain_fit_results == mock_domain_fit_results
         assert domain_fit_results.kwargs_set_key == 'kwargs_set_val'
-        assert domain_fit_results.success == True
+        assert domain_fit_results.success == True 
         assert domain_fit_results.y_obs == 'y'
         assert domain_fit_results.x == 'x'
         assert domain_fit_results.p == {'ppar_1': 'par_value_1', 'ppar_2': 'par_value_2'}
         assert domain_fit_results.p0 == 'p_0'
         assert domain_fit_results.y_calc == 'evaluate'
         assert domain_fit_results.y_err == 'dy'
-        assert (
-            str(domain_fit_results.minimizer_engine)
-            == "<class 'easyscience.fitting.minimizers.minimizer_bumps.Bumps'>"
-        )
+        assert str(domain_fit_results.minimizer_engine) == "<class 'easyscience.fitting.minimizers.minimizer_bumps.Bumps'>"
         assert domain_fit_results.fit_args is None
-        minimizer.evaluate.assert_called_once_with(
-            'x', minimizer_parameters={'ppar_1': 'par_value_1', 'ppar_2': 'par_value_2'}
-        )
+        minimizer.evaluate.assert_called_once_with('x', minimizer_parameters={'ppar_1': 'par_value_1', 'ppar_2': 'par_value_2'})
diff --git a/tests/unit/fitting/minimizers/test_minimizer_dfo.py b/tests/unit_tests/fitting/minimizers/test_minimizer_dfo.py
similarity index 58%
rename from tests/unit/fitting/minimizers/test_minimizer_dfo.py
rename to tests/unit_tests/fitting/minimizers/test_minimizer_dfo.py
index e1d5eeef..439afea0 100644
--- a/tests/unit/fitting/minimizers/test_minimizer_dfo.py
+++ b/tests/unit_tests/fitting/minimizers/test_minimizer_dfo.py
@@ -1,46 +1,44 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+import pytest
 
 from unittest.mock import MagicMock
-
 import numpy as np
-import pytest
 
 import easyscience.fitting.minimizers.minimizer_dfo
+from easyscience.variable import Parameter
+
 from easyscience.fitting.minimizers.minimizer_dfo import DFO
 from easyscience.fitting.minimizers.utils import FitError
-from easyscience.variable import Parameter
 
 
 class TestDFOFit:
     @pytest.fixture
     def minimizer(self) -> DFO:
         minimizer = DFO(
-            obj='obj',
-            fit_function='fit_function',
-            minimizer_enum=MagicMock(package='dfo', method='leastsq'),
+            obj="obj",
+            fit_function="fit_function",
+            minimizer_enum=MagicMock(package="dfo", method="leastsq"),
         )
         return minimizer
 
     def test_init(self, minimizer: DFO) -> None:
         assert minimizer._p_0 == {}
-        assert minimizer.package == 'dfo'
+        assert minimizer.package == "dfo"
 
     def test_init_exception(self) -> None:
         with pytest.raises(FitError):
             DFO(
-                obj='obj',
-                fit_function='fit_function',
-                minimizer_enum=MagicMock(package='dfo', method='not_leastsq'),
+                obj="obj",
+                fit_function="fit_function",
+                minimizer_enum=MagicMock(package="dfo", method="not_leastsq"),
             )
 
     def test_supported_methods(self, minimizer: DFO) -> None:
         # When Then Expect
-        assert minimizer.supported_methods() == ['leastsq']
+        assert minimizer.supported_methods() == ["leastsq"]
 
     def test_supported_methods(self, minimizer: DFO) -> None:
         # When Then Expect
-        assert minimizer.supported_methods() == ['leastsq']
+        assert minimizer.supported_methods() == ["leastsq"]
 
     def test_fit(self, minimizer: DFO) -> None:
         # When
@@ -51,53 +49,55 @@ def test_fit(self, minimizer: DFO) -> None:
         mock_model = MagicMock()
         mock_model_function = MagicMock(return_value=mock_model)
         minimizer._make_model = MagicMock(return_value=mock_model_function)
-        minimizer._dfo_fit = MagicMock(return_value='fit')
+        minimizer._dfo_fit = MagicMock(return_value="fit")
         minimizer._set_parameter_fit_result = MagicMock()
-        minimizer._gen_fit_results = MagicMock(return_value='gen_fit_results')
+        minimizer._gen_fit_results = MagicMock(return_value="gen_fit_results")
 
         cached_par = MagicMock()
         cached_par.value = 1
-        cached_pars = {'mock_parm_1': cached_par}
+        cached_pars = {"mock_parm_1": cached_par}
         minimizer._cached_pars = cached_pars
 
         # Then
         result = minimizer.fit(x=1.0, y=2.0, weights=1)
 
         # Expect
-        assert result == 'gen_fit_results'
+        assert result == "gen_fit_results"
         minimizer._dfo_fit.assert_called_once_with(cached_pars, mock_model)
         minimizer._make_model.assert_called_once_with(parameters=None)
-        minimizer._set_parameter_fit_result.assert_called_once_with('fit', False)
-        minimizer._gen_fit_results.assert_called_once_with('fit', 1)
+        minimizer._set_parameter_fit_result.assert_called_once_with("fit", False)
+        minimizer._gen_fit_results.assert_called_once_with("fit", 1)
         mock_model_function.assert_called_once_with(1.0, 2.0, 1)
 
     def test_generate_fit_function(self, minimizer: DFO) -> None:
         # When
-        minimizer._original_fit_function = MagicMock(return_value='fit_function_result')
+        minimizer._original_fit_function = MagicMock(return_value="fit_function_result")
 
         minimizer._object = MagicMock()
         mock_parm_1 = MagicMock()
-        mock_parm_1.unique_name = 'mock_parm_1'
+        mock_parm_1.unique_name = "mock_parm_1"
         mock_parm_1.value = 1.0
         mock_parm_1.error = 0.1
         mock_parm_2 = MagicMock()
-        mock_parm_2.unique_name = 'mock_parm_2'
+        mock_parm_2.unique_name = "mock_parm_2"
         mock_parm_2.value = 2.0
         mock_parm_2.error = 0.2
-        minimizer._object.get_fit_parameters = MagicMock(return_value=[mock_parm_1, mock_parm_2])
+        minimizer._object.get_fit_parameters = MagicMock(
+            return_value=[mock_parm_1, mock_parm_2]
+        )
 
         # Then
         fit_function = minimizer._generate_fit_function()
         fit_function_result = fit_function([10.0])
 
         # Expect
-        assert 'fit_function_result' == fit_function_result
+        assert "fit_function_result" == fit_function_result
         minimizer._original_fit_function.assert_called_once_with([10.0])
-        assert minimizer._cached_pars['mock_parm_1'] == mock_parm_1
-        assert minimizer._cached_pars['mock_parm_2'] == mock_parm_2
+        assert minimizer._cached_pars["mock_parm_1"] == mock_parm_1
+        assert minimizer._cached_pars["mock_parm_2"] == mock_parm_2
 
     @pytest.mark.parametrize(
-        'weights',
+        "weights",
         [
             np.array([1, 2, 3, 4]),
             np.array([[1, 2, 3], [4, 5, 6]]),
@@ -106,7 +106,7 @@ def test_generate_fit_function(self, minimizer: DFO) -> None:
             np.repeat(np.inf, 3),
             -np.ones(3),
         ],
-        ids=['wrong_length', 'multidimensional', 'NaNs', 'zeros', 'Infs', 'negative'],
+        ids=["wrong_length", "multidimensional", "NaNs", "zeros", "Infs", "negative"],
     )
     def test_fit_weight_exceptions(self, minimizer: DFO, weights) -> None:
         # When Then Expect
@@ -119,10 +119,10 @@ def test_make_model(self, minimizer: DFO) -> None:
         minimizer._generate_fit_function = MagicMock(return_value=mock_fit_function)
 
         mock_parm_1 = MagicMock()
-        mock_parm_1.unique_name = 'mock_parm_1'
+        mock_parm_1.unique_name = "mock_parm_1"
         mock_parm_1.value = 1000.0
         mock_parm_2 = MagicMock()
-        mock_parm_2.unique_name = 'mock_parm_2'
+        mock_parm_2.unique_name = "mock_parm_2"
         mock_parm_2.value = 2000.0
 
         # Then
@@ -135,92 +135,98 @@ def test_make_model(self, minimizer: DFO) -> None:
 
         # Expect
         minimizer._generate_fit_function.assert_called_once_with()
-        assert all(np.array([-0.01, -0.01]) == residuals_for_model(np.array([1111, 2222])))
+        assert all(
+            np.array([-0.01, -0.01]) == residuals_for_model(np.array([1111, 2222]))
+        )
         assert all(mock_fit_function.call_args[0][0] == np.array([1, 2]))
         assert mock_fit_function.call_args[1] == {
-            'pmock_parm_1': 1111,
-            'pmock_parm_2': 2222,
+            "pmock_parm_1": 1111,
+            "pmock_parm_2": 2222,
         }
 
     def test_set_parameter_fit_result_no_stack_status(self, minimizer: DFO):
         # When
         minimizer._cached_pars = {
-            'a': MagicMock(),
-            'b': MagicMock(),
+            "a": MagicMock(),
+            "b": MagicMock(),
         }
-        minimizer._cached_pars['a'].value = 'a'
-        minimizer._cached_pars['b'].value = 'b'
+        minimizer._cached_pars["a"].value = "a"
+        minimizer._cached_pars["b"].value = "b"
 
         mock_fit_result = MagicMock()
         mock_fit_result.x = [1.0, 2.0]
-        mock_fit_result.jacobian = 'jacobian'
-        mock_fit_result.resid = 'resid'
+        mock_fit_result.jacobian = "jacobian"
+        mock_fit_result.resid = "resid"
 
-        minimizer._error_from_jacobian = MagicMock(return_value=np.array([[0.1, 0.0], [0.0, 0.2]]))
+        minimizer._error_from_jacobian = MagicMock(
+            return_value=np.array([[0.1, 0.0], [0.0, 0.2]])
+        )
 
         # Then
         minimizer._set_parameter_fit_result(mock_fit_result, False)
 
         # Expect
-        assert minimizer._cached_pars['a'].value == 1.0
-        assert minimizer._cached_pars['a'].error == 0.1
-        assert minimizer._cached_pars['b'].value == 2.0
-        assert minimizer._cached_pars['b'].error == 0.2
-        minimizer._error_from_jacobian.assert_called_once_with('jacobian', 'resid', 0.95)
+        assert minimizer._cached_pars["a"].value == 1.0
+        assert minimizer._cached_pars["a"].error == 0.1
+        assert minimizer._cached_pars["b"].value == 2.0
+        assert minimizer._cached_pars["b"].error == 0.2
+        minimizer._error_from_jacobian.assert_called_once_with(
+            "jacobian", "resid", 0.95
+        )
 
     def test_gen_fit_results(self, minimizer: DFO, monkeypatch):
         # When
         mock_domain_fit_results = MagicMock()
         mock_FitResults = MagicMock(return_value=mock_domain_fit_results)
         monkeypatch.setattr(
-            easyscience.fitting.minimizers.minimizer_dfo, 'FitResults', mock_FitResults
+            easyscience.fitting.minimizers.minimizer_dfo, "FitResults", mock_FitResults
         )
 
         mock_fit_result = MagicMock()
         mock_fit_result.flag = False
 
         mock_cached_model = MagicMock()
-        mock_cached_model.x = 'x'
-        mock_cached_model.y = 'y'
+        mock_cached_model.x = "x"
+        mock_cached_model.y = "y"
         minimizer._cached_model = mock_cached_model
 
         mock_cached_par_1 = MagicMock()
-        mock_cached_par_1.value = 'par_value_1'
+        mock_cached_par_1.value = "par_value_1"
         mock_cached_par_2 = MagicMock()
-        mock_cached_par_2.value = 'par_value_2'
+        mock_cached_par_2.value = "par_value_2"
         minimizer._cached_pars = {
-            'par_1': mock_cached_par_1,
-            'par_2': mock_cached_par_2,
+            "par_1": mock_cached_par_1,
+            "par_2": mock_cached_par_2,
         }
 
-        minimizer._p_0 = 'p_0'
-        minimizer.evaluate = MagicMock(return_value='evaluate')
+        minimizer._p_0 = "p_0"
+        minimizer.evaluate = MagicMock(return_value="evaluate")
 
         # Then
         domain_fit_results = minimizer._gen_fit_results(
-            mock_fit_result, 'weights', **{'kwargs_set_key': 'kwargs_set_val'}
+            mock_fit_result, "weights", **{"kwargs_set_key": "kwargs_set_val"}
         )
 
         # Expect
         assert domain_fit_results == mock_domain_fit_results
-        assert domain_fit_results.kwargs_set_key == 'kwargs_set_val'
+        assert domain_fit_results.kwargs_set_key == "kwargs_set_val"
         assert domain_fit_results.success == True
-        assert domain_fit_results.y_obs == 'y'
-        assert domain_fit_results.x == 'x'
+        assert domain_fit_results.y_obs == "y"
+        assert domain_fit_results.x == "x"
         assert domain_fit_results.p == {
-            'ppar_1': 'par_value_1',
-            'ppar_2': 'par_value_2',
+            "ppar_1": "par_value_1",
+            "ppar_2": "par_value_2",
         }
-        assert domain_fit_results.p0 == 'p_0'
-        assert domain_fit_results.y_calc == 'evaluate'
-        assert domain_fit_results.y_err == 'weights'
+        assert domain_fit_results.p0 == "p_0"
+        assert domain_fit_results.y_calc == "evaluate"
+        assert domain_fit_results.y_err == "weights"
         assert (
             str(domain_fit_results.minimizer_engine)
             == "<class 'easyscience.fitting.minimizers.minimizer_dfo.DFO'>"
         )
         assert domain_fit_results.fit_args is None
         minimizer.evaluate.assert_called_once_with(
-            'x', minimizer_parameters={'ppar_1': 'par_value_1', 'ppar_2': 'par_value_2'}
+            "x", minimizer_parameters={"ppar_1": "par_value_1", "ppar_2": "par_value_2"}
         )
 
     def test_dfo_fit(self, minimizer: DFO, monkeypatch):
@@ -235,26 +241,28 @@ def test_dfo_fit(self, minimizer: DFO, monkeypatch):
         mock_parm_2.max = 20.0
         pars = {1: mock_parm_1, 2: mock_parm_2}
 
-        kwargs = {'kwargs_set_key': 'kwargs_set_val'}
+        kwargs = {"kwargs_set_key": "kwargs_set_val"}
 
         mock_dfols = MagicMock()
         mock_results = MagicMock()
-        mock_results.msg = 'Success'
+        mock_results.msg = "Success"
         mock_dfols.solve = MagicMock(return_value=mock_results)
 
-        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_dfo, 'dfols', mock_dfols)
+        monkeypatch.setattr(
+            easyscience.fitting.minimizers.minimizer_dfo, "dfols", mock_dfols
+        )
 
         # Then
-        results = minimizer._dfo_fit(pars, 'model', **kwargs)
+        results = minimizer._dfo_fit(pars, "model", **kwargs)
 
         # Expect
         assert results == mock_results
-        assert mock_dfols.solve.call_args[0][0] == 'model'
+        assert mock_dfols.solve.call_args[0][0] == "model"
         assert all(mock_dfols.solve.call_args[0][1] == np.array([1.0, 2.0]))
-        assert all(mock_dfols.solve.call_args[1]['bounds'][0] == np.array([0.1, 0.2]))
-        assert all(mock_dfols.solve.call_args[1]['bounds'][1] == np.array([10.0, 20.0]))
-        assert mock_dfols.solve.call_args[1]['scaling_within_bounds'] is True
-        assert mock_dfols.solve.call_args[1]['kwargs_set_key'] == 'kwargs_set_val'
+        assert all(mock_dfols.solve.call_args[1]["bounds"][0] == np.array([0.1, 0.2]))
+        assert all(mock_dfols.solve.call_args[1]["bounds"][1] == np.array([10.0, 20.0]))
+        assert mock_dfols.solve.call_args[1]["scaling_within_bounds"] is True
+        assert mock_dfols.solve.call_args[1]["kwargs_set_key"] == "kwargs_set_val"
 
     def test_dfo_fit_no_scaling(self, minimizer: DFO, monkeypatch):
         # When
@@ -268,40 +276,46 @@ def test_dfo_fit_no_scaling(self, minimizer: DFO, monkeypatch):
         mock_parm_2.max = 20.0
         pars = {1: mock_parm_1, 2: mock_parm_2}
 
-        kwargs = {'kwargs_set_key': 'kwargs_set_val'}
+        kwargs = {"kwargs_set_key": "kwargs_set_val"}
 
         mock_dfols = MagicMock()
         mock_results = MagicMock()
-        mock_results.msg = 'Success'
+        mock_results.msg = "Success"
         mock_dfols.solve = MagicMock(return_value=mock_results)
 
-        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_dfo, 'dfols', mock_dfols)
+        monkeypatch.setattr(
+            easyscience.fitting.minimizers.minimizer_dfo, "dfols", mock_dfols
+        )
 
         # Then
-        results = minimizer._dfo_fit(pars, 'model', **kwargs)
+        results = minimizer._dfo_fit(pars, "model", **kwargs)
 
         # Expect
         assert results == mock_results
-        assert mock_dfols.solve.call_args[0][0] == 'model'
+        assert mock_dfols.solve.call_args[0][0] == "model"
         assert all(mock_dfols.solve.call_args[0][1] == np.array([1.0, 2.0]))
-        assert all(mock_dfols.solve.call_args[1]['bounds'][0] == np.array([-np.inf, 0.2]))
-        assert all(mock_dfols.solve.call_args[1]['bounds'][1] == np.array([10.0, 20.0]))
-        assert 'scaling_within_bounds' not in list(mock_dfols.solve.call_args[1].keys())
-        assert 'kwargs_set_key' in list(mock_dfols.solve.call_args[1].keys())
-        assert mock_dfols.solve.call_args[1]['kwargs_set_key'] == 'kwargs_set_val'
+        assert all(
+            mock_dfols.solve.call_args[1]["bounds"][0] == np.array([-np.inf, 0.2])
+        )
+        assert all(mock_dfols.solve.call_args[1]["bounds"][1] == np.array([10.0, 20.0]))
+        assert not "scaling_within_bounds" in list(mock_dfols.solve.call_args[1].keys())
+        assert "kwargs_set_key" in list(mock_dfols.solve.call_args[1].keys())
+        assert mock_dfols.solve.call_args[1]["kwargs_set_key"] == "kwargs_set_val"
 
     def test_dfo_fit_exception(self, minimizer: DFO, monkeypatch):
         # When
         pars = {1: MagicMock(Parameter)}
-        kwargs = {'kwargs_set_key': 'kwargs_set_val'}
+        kwargs = {"kwargs_set_key": "kwargs_set_val"}
 
         mock_dfols = MagicMock()
         mock_results = MagicMock()
-        mock_results.msg = 'Failed'
+        mock_results.msg = "Failed"
         mock_dfols.solve = MagicMock(return_value=mock_results)
 
-        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_dfo, 'dfols', mock_dfols)
+        monkeypatch.setattr(
+            easyscience.fitting.minimizers.minimizer_dfo, "dfols", mock_dfols
+        )
 
         # Then Expect
         with pytest.raises(FitError):
-            minimizer._dfo_fit(pars, 'model', **kwargs)
+            minimizer._dfo_fit(pars, "model", **kwargs)
diff --git a/tests/unit/fitting/minimizers/test_minimizer_lmfit.py b/tests/unit_tests/fitting/minimizers/test_minimizer_lmfit.py
similarity index 75%
rename from tests/unit/fitting/minimizers/test_minimizer_lmfit.py
rename to tests/unit_tests/fitting/minimizers/test_minimizer_lmfit.py
index ac280873..1185082f 100644
--- a/tests/unit/fitting/minimizers/test_minimizer_lmfit.py
+++ b/tests/unit_tests/fitting/minimizers/test_minimizer_lmfit.py
@@ -1,25 +1,22 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+import pytest
 
 from unittest.mock import MagicMock
 
-import numpy as np
-import pytest
-from lmfit import Parameter as LMParameter
-
 import easyscience.fitting.minimizers.minimizer_lmfit
-from easyscience import Parameter
 from easyscience.fitting.minimizers.minimizer_lmfit import LMFit
+from easyscience import Parameter
+from lmfit import Parameter as LMParameter
 from easyscience.fitting.minimizers.utils import FitError
+import numpy as np
 
 
-class TestLMFit:
+class TestLMFit():
     @pytest.fixture
     def minimizer(self) -> LMFit:
         minimizer = LMFit(
             obj='obj',
-            fit_function='fit_function',
-            minimizer_enum=MagicMock(package='lm', method='leastsq'),
+            fit_function='fit_function', 
+            minimizer_enum=MagicMock(package='lm', method='leastsq')
         )
         return minimizer
 
@@ -30,22 +27,11 @@ def test_init_exception(self) -> None:
         with pytest.raises(FitError):
             LMFit(
                 obj='obj',
-                fit_function='fit_function',
-                minimizer_enum=MagicMock(package='dfo', method='not_leastsq'),
+                fit_function='fit_function', 
+                minimizer_enum=MagicMock(package='dfo', method='not_leastsq')
             )
 
-    @pytest.mark.parametrize(
-        'weights',
-        [
-            np.array([1, 2, 3, 4]),
-            np.array([[1, 2, 3], [4, 5, 6]]),
-            np.repeat(np.nan, 3),
-            np.zeros(3),
-            np.repeat(np.inf, 3),
-            -np.ones(3),
-        ],
-        ids=['wrong_length', 'multidimensional', 'NaNs', 'zeros', 'Infs', 'negative'],
-    )
+    @pytest.mark.parametrize("weights", [np.array([1, 2, 3, 4]), np.array([[1, 2, 3], [4, 5, 6]]), np.repeat(np.nan,3), np.zeros(3), np.repeat(np.inf,3), -np.ones(3)], ids=["wrong_length", "multidimensional", "NaNs", "zeros", "Infs", "negative"])
     def test_fit_weight_exceptions(self, minimizer: LMFit, weights) -> None:
         # When Then Expect
         with pytest.raises(ValueError):
@@ -55,9 +41,7 @@ def test_make_model(self, minimizer: LMFit, monkeypatch) -> None:
         # When
         mock_lm_model = MagicMock()
         mock_LMModel = MagicMock(return_value=mock_lm_model)
-        monkeypatch.setattr(
-            easyscience.fitting.minimizers.minimizer_lmfit, 'LMModel', mock_LMModel
-        )
+        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_lmfit, "LMModel", mock_LMModel)
         minimizer._generate_fit_function = MagicMock(return_value='model')
         mock_parm_1 = MagicMock(LMParameter)
         mock_parm_1.value = 1.0
@@ -71,12 +55,10 @@ def test_make_model(self, minimizer: LMFit, monkeypatch) -> None:
 
         # Then
         model = minimizer._make_model(pars=pars)
-
+        
         # Expect
         minimizer._generate_fit_function.assert_called_once_with()
-        mock_LMModel.assert_called_once_with(
-            'model', independent_vars=['x'], param_names=['pkey_1', 'pkey_2']
-        )
+        mock_LMModel.assert_called_once_with('model', independent_vars=['x'], param_names=['pkey_1', 'pkey_2'])
         mock_lm_model.set_param_hint.assert_called_with('pkey_2', value=2.0, min=-20.0, max=20.0)
         assert mock_lm_model.set_param_hint.call_count == 2
         assert model == mock_lm_model
@@ -85,9 +67,7 @@ def test_make_model_no_pars(self, minimizer: LMFit, monkeypatch) -> None:
         # When
         mock_lm_model = MagicMock()
         mock_LMModel = MagicMock(return_value=mock_lm_model)
-        monkeypatch.setattr(
-            easyscience.fitting.minimizers.minimizer_lmfit, 'LMModel', mock_LMModel
-        )
+        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_lmfit, "LMModel", mock_LMModel)
         minimizer._generate_fit_function = MagicMock(return_value='model')
         mock_parm_1 = MagicMock(Parameter)
         mock_parm_1.value = 1.0
@@ -101,12 +81,10 @@ def test_make_model_no_pars(self, minimizer: LMFit, monkeypatch) -> None:
 
         # Then
         model = minimizer._make_model()
-
+        
         # Expect
         minimizer._generate_fit_function.assert_called_once_with()
-        mock_LMModel.assert_called_once_with(
-            'model', independent_vars=['x'], param_names=['pkey_1', 'pkey_2']
-        )
+        mock_LMModel.assert_called_once_with('model', independent_vars=['x'], param_names=['pkey_1', 'pkey_2'])
         mock_lm_model.set_param_hint.assert_called_with('pkey_2', value=2.0, min=-20.0, max=20.0)
         assert mock_lm_model.set_param_hint.call_count == 2
         assert model == mock_lm_model
@@ -114,7 +92,6 @@ def test_make_model_no_pars(self, minimizer: LMFit, monkeypatch) -> None:
     def test_fit(self, minimizer: LMFit) -> None:
         # When
         from easyscience import global_object
-
         global_object.stack.enabled = False
 
         mock_model = MagicMock()
@@ -128,9 +105,7 @@ def test_fit(self, minimizer: LMFit) -> None:
 
         # Expect
         assert result == 'gen_fit_results'
-        mock_model.fit.assert_called_once_with(
-            2.0, x=1.0, weights=1, max_nfev=None, fit_kws={}, method='leastsq'
-        )
+        mock_model.fit.assert_called_once_with(2.0, x=1.0, weights=1, max_nfev=None, fit_kws={}, method='leastsq')
         minimizer._make_model.assert_called_once_with()
         minimizer._set_parameter_fit_result.assert_called_once_with('fit', False)
         minimizer._gen_fit_results.assert_called_once_with('fit')
@@ -147,9 +122,7 @@ def test_fit_model(self, minimizer: LMFit) -> None:
         minimizer.fit(x=1.0, y=2.0, weights=1, model=mock_model)
 
         # Expect
-        mock_model.fit.assert_called_once_with(
-            2.0, x=1.0, weights=1, max_nfev=None, fit_kws={}, method='leastsq'
-        )
+        mock_model.fit.assert_called_once_with(2.0, x=1.0, weights=1, max_nfev=None, fit_kws={}, method='leastsq')
         minimizer._make_model.assert_not_called()
 
     def test_fit_method(self, minimizer: LMFit) -> None:
@@ -166,9 +139,7 @@ def test_fit_method(self, minimizer: LMFit) -> None:
         minimizer.fit(x=1.0, y=2.0, weights=1, method='method_passed')
 
         # Expect
-        mock_model.fit.assert_called_once_with(
-            2.0, x=1.0, weights=1, max_nfev=None, fit_kws={}, method='method_passed'
-        )
+        mock_model.fit.assert_called_once_with(2.0, x=1.0, weights=1, max_nfev=None, fit_kws={}, method='method_passed')
         minimizer.supported_methods.assert_called_once_with()
 
     def test_fit_kwargs(self, minimizer: LMFit) -> None:
@@ -180,24 +151,10 @@ def test_fit_kwargs(self, minimizer: LMFit) -> None:
         minimizer._gen_fit_results = MagicMock(return_value='gen_fit_results')
 
         # Then
-        minimizer.fit(
-            x=1.0,
-            y=2.0,
-            weights=1,
-            minimizer_kwargs={'minimizer_key': 'minimizer_val'},
-            engine_kwargs={'engine_key': 'engine_val'},
-        )
+        minimizer.fit(x=1.0, y=2.0, weights=1, minimizer_kwargs={'minimizer_key': 'minimizer_val'}, engine_kwargs={'engine_key': 'engine_val'})
 
         # Expect
-        mock_model.fit.assert_called_once_with(
-            2.0,
-            x=1.0,
-            weights=1,
-            max_nfev=None,
-            fit_kws={'minimizer_key': 'minimizer_val'},
-            method='leastsq',
-            engine_key='engine_val',
-        )
+        mock_model.fit.assert_called_once_with(2.0, x=1.0, weights=1, max_nfev=None, fit_kws={'minimizer_key': 'minimizer_val'}, method='leastsq', engine_key='engine_val')
 
     def test_fit_exception(self, minimizer: LMFit) -> None:
         # When
@@ -212,16 +169,14 @@ def test_fit_exception(self, minimizer: LMFit) -> None:
     def test_convert_to_pars_obj(self, minimizer: LMFit, monkeypatch) -> None:
         # When
         minimizer._object = MagicMock()
-        minimizer._object.get_fit_parameters = MagicMock(return_value=['parm_1', 'parm_2'])
+        minimizer._object.get_fit_parameters = MagicMock(return_value = ['parm_1', 'parm_2'])
 
         minimizer.convert_to_par_object = MagicMock(return_value='convert_to_par_object')
 
         mock_lm_parameter = MagicMock()
         mock_lm_parameter.add_many = MagicMock(return_value='add_many')
         mock_LMParameters = MagicMock(return_value=mock_lm_parameter)
-        monkeypatch.setattr(
-            easyscience.fitting.minimizers.minimizer_lmfit, 'LMParameters', mock_LMParameters
-        )
+        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_lmfit, "LMParameters", mock_LMParameters)
 
         # Then
         pars = minimizer.convert_to_pars_obj()
@@ -231,10 +186,7 @@ def test_convert_to_pars_obj(self, minimizer: LMFit, monkeypatch) -> None:
         assert minimizer.convert_to_par_object.call_count == 2
         minimizer._object.get_fit_parameters.assert_called_once_with()
         minimizer.convert_to_par_object.assert_called_with('parm_2')
-        mock_lm_parameter.add_many.assert_called_once_with([
-            'convert_to_par_object',
-            'convert_to_par_object',
-        ])
+        mock_lm_parameter.add_many.assert_called_once_with(['convert_to_par_object', 'convert_to_par_object'])
 
     def test_convert_to_pars_obj_with_parameters(self, minimizer: LMFit, monkeypatch) -> None:
         # When
@@ -243,9 +195,7 @@ def test_convert_to_pars_obj_with_parameters(self, minimizer: LMFit, monkeypatch
         mock_lm_parameter = MagicMock()
         mock_lm_parameter.add_many = MagicMock(return_value='add_many')
         mock_LMParameters = MagicMock(return_value=mock_lm_parameter)
-        monkeypatch.setattr(
-            easyscience.fitting.minimizers.minimizer_lmfit, 'LMParameters', mock_LMParameters
-        )
+        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_lmfit, "LMParameters", mock_LMParameters)
 
         # Then
         pars = minimizer.convert_to_pars_obj(['parm_1', 'parm_2'])
@@ -254,18 +204,13 @@ def test_convert_to_pars_obj_with_parameters(self, minimizer: LMFit, monkeypatch
         assert pars == 'add_many'
         assert minimizer.convert_to_par_object.call_count == 2
         minimizer.convert_to_par_object.assert_called_with('parm_2')
-        mock_lm_parameter.add_many.assert_called_once_with([
-            'convert_to_par_object',
-            'convert_to_par_object',
-        ])
+        mock_lm_parameter.add_many.assert_called_once_with(['convert_to_par_object', 'convert_to_par_object'])
 
     def test_convert_to_par_object(self, minimizer: LMFit, monkeypatch) -> None:
         # When
         mock_lm_parameter = MagicMock()
         mock_LMParameter = MagicMock(return_value=mock_lm_parameter)
-        monkeypatch.setattr(
-            easyscience.fitting.minimizers.minimizer_lmfit, 'LMParameter', mock_LMParameter
-        )
+        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_lmfit, "LMParameter", mock_LMParameter)
 
         mock_parm = MagicMock(Parameter)
         mock_parm.value = 1.0
@@ -279,15 +224,7 @@ def test_convert_to_par_object(self, minimizer: LMFit, monkeypatch) -> None:
 
         # Expect
         assert par == mock_lm_parameter
-        mock_LMParameter.assert_called_once_with(
-            'pkey_converted',
-            value=1.0,
-            vary=False,
-            min=-10.0,
-            max=10.0,
-            expr=None,
-            brute_step=None,
-        )
+        mock_LMParameter.assert_called_once_with('pkey_converted', value=1.0, vary=False, min=-10.0, max=10.0, expr=None, brute_step=None)
 
     def test_set_parameter_fit_result_no_stack_status(self, minimizer: LMFit) -> None:
         # When
@@ -349,12 +286,10 @@ def test_gen_fit_results(self, minimizer: LMFit, monkeypatch) -> None:
         # When
         mock_domain_fit_results = MagicMock()
         mock_FitResults = MagicMock(return_value=mock_domain_fit_results)
-        monkeypatch.setattr(
-            easyscience.fitting.minimizers.minimizer_lmfit, 'FitResults', mock_FitResults
-        )
+        monkeypatch.setattr(easyscience.fitting.minimizers.minimizer_lmfit, "FitResults", mock_FitResults)
 
         mock_fit_result = MagicMock()
-        mock_fit_result.success = 'success'
+        mock_fit_result.success ='success'
         mock_fit_result.data = 'data'
         mock_fit_result.userkws = {'x': 'x_val'}
         mock_fit_result.values = 'values'
@@ -363,22 +298,18 @@ def test_gen_fit_results(self, minimizer: LMFit, monkeypatch) -> None:
         mock_fit_result.weights = 10
 
         # Then
-        domain_fit_results = minimizer._gen_fit_results(
-            mock_fit_result, **{'kwargs_set_key': 'kwargs_set_val'}
-        )
+        domain_fit_results = minimizer._gen_fit_results(mock_fit_result, **{'kwargs_set_key': 'kwargs_set_val'})
 
         # Expect
         assert domain_fit_results == mock_domain_fit_results
         assert domain_fit_results.kwargs_set_key == 'kwargs_set_val'
-        assert domain_fit_results.success == 'success'
+        assert domain_fit_results.success == 'success' 
         assert domain_fit_results.y_obs == 'data'
         assert domain_fit_results.x == 'x_val'
         assert domain_fit_results.p == 'values'
         assert domain_fit_results.p0 == 'init_values'
         assert domain_fit_results.y_calc == 'best_fit'
         assert domain_fit_results.y_err == 0.1
-        assert (
-            str(domain_fit_results.minimizer_engine)
-            == "<class 'easyscience.fitting.minimizers.minimizer_lmfit.LMFit'>"
-        )
+        assert str(domain_fit_results.minimizer_engine) == "<class 'easyscience.fitting.minimizers.minimizer_lmfit.LMFit'>"
         assert domain_fit_results.fit_args is None
+
diff --git a/tests/unit/fitting/test_fitter.py b/tests/unit_tests/fitting/test_fitter.py
similarity index 88%
rename from tests/unit/fitting/test_fitter.py
rename to tests/unit_tests/fitting/test_fitter.py
index 73f5a12a..dede119c 100644
--- a/tests/unit/fitting/test_fitter.py
+++ b/tests/unit_tests/fitting/test_fitter.py
@@ -1,17 +1,13 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 from unittest.mock import MagicMock
 
-import numpy as np
 import pytest
-
+import numpy as np
 import easyscience.fitting.fitter
-from easyscience import AvailableMinimizers
 from easyscience import Fitter
+from easyscience import AvailableMinimizers
 
 
-class TestFitter:
+class TestFitter():
     @pytest.fixture
     def fitter(self, monkeypatch):
         monkeypatch.setattr(Fitter, '_update_minimizer', MagicMock())
@@ -24,7 +20,7 @@ def test_constructor(self, fitter: Fitter):
         assert fitter._fit_object == self.mock_fit_object
         assert fitter._fit_function == self.mock_fit_function
         assert fitter._dependent_dims is None
-        assert fitter._enum_current_minimizer is None  # == AvailableMinimizers.LMFit_leastsq
+        assert fitter._enum_current_minimizer is None #== AvailableMinimizers.LMFit_leastsq
         assert fitter._minimizer is None
         fitter._update_minimizer.assert_called_once_with(AvailableMinimizers.LMFit_leastsq)
 
@@ -92,7 +88,7 @@ def test_create(self, fitter: Fitter, monkeypatch):
         # Expect
         mock_string_to_enum.assert_called_once_with('great-minimizer')
         fitter._update_minimizer.assert_called_once_with(10)
-
+    
     def test_switch_minimizer(self, fitter: Fitter, monkeypatch):
         # When
         mock_minimizer = MagicMock()
@@ -131,32 +127,23 @@ def test_available_minimizers(self, fitter: Fitter):
 
         # Then Expect
         assert minimizers == [
-            'LMFit',
-            'LMFit_leastsq',
-            'LMFit_powell',
-            'LMFit_cobyla',
-            'LMFit_differential_evolution',
-            'LMFit_scipy_least_squares',
-            'Bumps',
-            'Bumps_simplex',
-            'Bumps_newton',
-            'Bumps_lm',
-            'DFO',
-            'DFO_leastsq',
+            'LMFit', 'LMFit_leastsq', 'LMFit_powell', 'LMFit_cobyla', 'LMFit_differential_evolution', 'LMFit_scipy_least_squares',
+            'Bumps', 'Bumps_simplex', 'Bumps_newton', 'Bumps_lm',
+            'DFO', 'DFO_leastsq'
         ]
 
     def test_minimizer(self, fitter: Fitter):
         # When
         fitter._minimizer = 'minimizer'
 
-        # Then
+        # Then 
         minimizer = fitter.minimizer
 
         # Expect
         assert minimizer == 'minimizer'
 
     def test_fit_function(self, fitter: Fitter):
-        # When Then
+        # When Then 
         fit_function = fitter.fit_function
 
         # Expect
@@ -174,7 +161,7 @@ def test_set_fit_function(self, fitter: Fitter):
         fitter._update_minimizer.assert_called_with('current_minimizer')
 
     def test_fit_object(self, fitter: Fitter):
-        # When Then
+        # When Then 
         fit_object = fitter.fit_object
 
         # Expect
@@ -193,9 +180,7 @@ def test_set_fit_object(self, fitter: Fitter):
 
     def test_fit(self, fitter: Fitter):
         # When
-        fitter._precompute_reshaping = MagicMock(
-            return_value=('x_fit', 'x_new', 'y_new', 'weights', 'dims')
-        )
+        fitter._precompute_reshaping = MagicMock(return_value=('x_fit', 'x_new', 'y_new', 'weights', 'dims'))
         fitter._fit_function_wrapper = MagicMock(return_value='wrapped_fit_function')
         fitter._post_compute_reshaping = MagicMock(return_value='fit_result')
         fitter._minimizer = MagicMock()
@@ -206,7 +191,7 @@ def test_fit(self, fitter: Fitter):
 
         # Expect
         fitter._precompute_reshaping.assert_called_once_with('x', 'y', 'weights', 'vectorized')
-        fitter._fit_function_wrapper.assert_called_once_with('x_new', flatten=True)
+        fitter._fit_function_wrapper.assert_called_once_with('x_new', flatten=True) 
         fitter._post_compute_reshaping.assert_called_once_with('result', 'x', 'y')
         assert result == 'fit_result'
         assert fitter._dependent_dims == 'dims'
@@ -215,8 +200,8 @@ def test_fit(self, fitter: Fitter):
     def test_post_compute_reshaping(self, fitter: Fitter):
         # When
         fit_result = MagicMock()
-        fit_result.y_calc = np.array([[10], [20], [30]])
-        fit_result.y_err = np.array([[40], [50], [60]])
+        fit_result.y_calc = np.array([[10], [20], [30]]) 
+        fit_result.y_err = np.array([[40], [50], [60]]) 
         x = np.array([1, 2, 3])
         y = np.array([4, 5, 6])
 
@@ -225,11 +210,10 @@ def test_post_compute_reshaping(self, fitter: Fitter):
 
         # Expect
         assert np.array_equal(result.y_calc, np.array([10, 20, 30]))
-        assert np.array_equal(result.y_err, np.array([40, 50, 60]))
+        assert np.array_equal(result.y_err, np.array([40, 50, 60])) 
         assert np.array_equal(result.x, x)
         assert np.array_equal(result.y_obs, y)
 
-
 # TODO
 #       def test_fit_function_wrapper()
 #       def test_precompute_reshaping()
diff --git a/tests/unit_tests/global_object/__init__.py b/tests/unit_tests/global_object/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/unit/global_object/test_entry_list_comprehensive.py b/tests/unit_tests/global_object/test_entry_list_comprehensive.py
similarity index 88%
rename from tests/unit/global_object/test_entry_list_comprehensive.py
rename to tests/unit_tests/global_object/test_entry_list_comprehensive.py
index 7a15ba2f..e8c038fe 100644
--- a/tests/unit/global_object/test_entry_list_comprehensive.py
+++ b/tests/unit_tests/global_object/test_entry_list_comprehensive.py
@@ -1,71 +1,72 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
+import pytest
+import weakref
 from unittest.mock import MagicMock
-
 from easyscience.global_object.map import _EntryList
 
-
 class TestEntryListComprehensive:
     """Comprehensive tests for _EntryList class"""
-
+    
     def test_inheritance(self):
         """Test that _EntryList properly inherits from list"""
         entry = _EntryList([1, 2, 3])
-
+        
         # Should have list functionality
         assert len(entry) == 3
         assert entry[0] == 1
         assert 2 in entry
-
+        
         # Can append like a normal list
         entry.append(4)
         assert len(entry) == 4
-
+        
     def test_init_with_list_data(self):
         """Test initialization with existing list data"""
         data = ['a', 'b', 'c']
         entry = _EntryList(data, my_type='created')
-
+        
         assert len(entry) == 3
         assert entry[0] == 'a'
         assert 'created' in entry.type
-
+        
     def test_known_types_validation(self):
         """Test validation of known types"""
         entry = _EntryList()
         known_types = {'argument', 'created', 'created_internal', 'returned'}
-
+        
         # Test all known types
         for known_type in known_types:
             entry.type = known_type
             assert known_type in entry.type
-
+            
         # Test unknown type
         entry.type = 'unknown_type'
         assert 'unknown_type' not in entry.type
-
+        
     def test_finalizer_attribute(self):
         """Test finalizer attribute handling"""
         entry = _EntryList()
-
+        
         # Initially None
         assert entry.finalizer is None
-
+        
         # Can set to any value
         mock_finalizer = MagicMock()
         entry.finalizer = mock_finalizer
         assert entry.finalizer is mock_finalizer
-
+        
     def test_delitem_override(self):
         """Test __delitem__ override"""
         entry = _EntryList(['a', 'b', 'c'])
-
+        
         # Should work like normal list deletion
         del entry[1]
         assert len(entry) == 2
         assert entry == ['a', 'c']
-
+        
     def test_repr_variations(self):
         """Test various __repr__ scenarios"""
         # Empty type, no finalizer
@@ -73,248 +74,247 @@ def test_repr_variations(self):
         repr_str = str(entry)
         assert 'Undefined' in repr_str
         assert 'Without' in repr_str
-
+        
         # Single type, no finalizer
         entry.type = 'created'
         repr_str = str(entry)
         assert 'created' in repr_str
         assert 'Without' in repr_str
-
+        
         # Multiple types, no finalizer
         entry.type = 'argument'
         repr_str = str(entry)
         assert 'created' in repr_str
         assert 'argument' in repr_str
         assert 'Without' in repr_str
-
+        
         # With finalizer
         entry.finalizer = MagicMock()
         repr_str = str(entry)
         assert 'Without' not in repr_str
-
+        
     def test_type_setter_edge_cases(self):
         """Test edge cases for type setter"""
         entry = _EntryList()
-
+        
         # Setting None should not crash
         entry.type = None
         assert None not in entry.type
-
+        
         # Setting empty string
-        entry.type = ''
-        assert '' not in entry.type
-
+        entry.type = ""
+        assert "" not in entry.type
+        
         # Setting numeric value
         entry.type = 123
         assert 123 not in entry.type
-
+        
     def test_remove_type_edge_cases(self):
         """Test edge cases for remove_type"""
         entry = _EntryList()
         entry.type = 'created'
         entry.type = 'argument'
-
+        
         # Remove type that exists
         entry.remove_type('created')
         assert 'created' not in entry.type
         assert 'argument' in entry.type
-
+        
         # Remove type that doesn't exist
         entry.remove_type('returned')  # Not in list
         assert 'argument' in entry.type  # Should be unchanged
-
+        
         # Remove unknown type
         entry.remove_type('unknown')
         assert 'argument' in entry.type  # Should be unchanged
-
+        
         # Remove None
         entry.remove_type(None)
         assert 'argument' in entry.type  # Should be unchanged
-
+        
     def test_reset_type_variations(self):
         """Test reset_type with various inputs"""
         entry = _EntryList()
         entry.type = 'created'
         entry.type = 'argument'
-
+        
         # Reset with valid type
         entry.reset_type('returned')
         assert entry.type == ['returned']
-
+        
         # Reset with invalid type
         entry.type = 'created'  # Add something first
         entry.reset_type('invalid')
         assert entry.type == []  # Should be empty since invalid
-
+        
         # Reset with None
         entry.type = 'created'
         entry.reset_type(None)
         assert entry.type == []
-
+        
     def test_boolean_properties_combinations(self):
         """Test boolean properties with multiple types"""
         entry = _EntryList()
-
+        
         # Add multiple types
         entry.type = 'created'
         entry.type = 'argument'
         entry.type = 'returned'
-
+        
         # All should be true
         assert entry.is_created
         assert entry.is_argument
         assert entry.is_returned
         assert not entry.is_created_internal  # Not added
-
+        
         # Remove one
         entry.remove_type('argument')
         assert entry.is_created
         assert not entry.is_argument
         assert entry.is_returned
-
+        
     def test_list_functionality_preserved(self):
         """Test that list functionality is preserved"""
         entry = _EntryList()
-
+        
         # Basic list operations
         entry.append('a')
         entry.append('b')
         entry.insert(1, 'x')
         assert entry == ['a', 'x', 'b']
-
+        
         # List methods
         assert entry.index('x') == 1
         assert entry.count('a') == 1
-
+        
         # Slicing
         subset = entry[1:]
         assert subset == ['x', 'b']
-
+        
         # Iteration
         items = [item for item in entry]
         assert items == ['a', 'x', 'b']
-
+        
     def test_type_persistence_during_list_operations(self):
         """Test that type information persists during list operations"""
         entry = _EntryList(my_type='created')
         entry.type = 'argument'
-
+        
         # Perform list operations
         entry.append('item1')
         entry.extend(['item2', 'item3'])
         entry.sort()
-
+        
         # Type information should be preserved
         assert entry.is_created
         assert entry.is_argument
-
+        
     def test_equality_with_regular_list(self):
         """Test equality comparison with regular list"""
         entry = _EntryList(['a', 'b', 'c'])
         regular_list = ['a', 'b', 'c']
-
+        
         # Should be equal in content
         assert entry == regular_list
         assert regular_list == entry
-
+        
         # But not the same type
         assert type(entry) != type(regular_list)
         assert isinstance(entry, _EntryList)
         assert isinstance(entry, list)
-
+        
     def test_copy_behavior(self):
         """Test copying behavior"""
         import copy
-
+        
         entry = _EntryList(['a', 'b'], my_type='created')
         entry.finalizer = MagicMock()
-
+        
         # Shallow copy
         shallow_copy = copy.copy(entry)
         assert shallow_copy == entry
         assert shallow_copy.type == entry.type
         assert shallow_copy.finalizer is entry.finalizer
-
+        
         # Deep copy
         deep_copy = copy.deepcopy(entry)
         assert deep_copy == entry
         assert deep_copy.type == entry.type
         # Finalizer might be different in deep copy
-
+        
     def test_memory_efficiency(self):
         """Test that _EntryList doesn't consume excessive memory"""
         # Create many entries
         entries = []
         for i in range(1000):
-            entry = _EntryList([f'item_{i}'], my_type='created')
+            entry = _EntryList([f"item_{i}"], my_type='created')
             entries.append(entry)
-
+            
         # Should not raise memory errors
         assert len(entries) == 1000
         assert all(entry.is_created for entry in entries)
-
+        
     def test_thread_safety_simulation(self):
         """Test basic thread safety aspects (simulation)"""
         import threading
         import time
-
+        
         entry = _EntryList()
         results = []
-
+        
         def add_type(type_name, delay=0.001):
             time.sleep(delay)
             entry.type = type_name
             results.append(type_name)
-
+            
         # Simulate concurrent access
         threads = []
         for i, type_name in enumerate(['created', 'argument', 'returned']):
             thread = threading.Thread(target=add_type, args=(type_name,))
             threads.append(thread)
-
+            
         for thread in threads:
             thread.start()
-
+            
         for thread in threads:
             thread.join()
-
+            
         # All types should be added (order might vary)
         assert len(set(entry.type)) == 3
         assert all(t in entry.type for t in ['created', 'argument', 'returned'])
-
+        
     def test_pickle_serialization(self):
         """Test pickle serialization support"""
         import pickle
-
+        
         entry = _EntryList(['a', 'b', 'c'], my_type='created')
         entry.type = 'argument'
-
+        
         # Serialize
         pickled = pickle.dumps(entry)
-
+        
         # Deserialize
         unpickled = pickle.loads(pickled)
-
+        
         # Should preserve data and types
         assert unpickled == entry
         assert unpickled.type == entry.type
         assert unpickled.is_created
         assert unpickled.is_argument
-
+        
     def test_subclassing(self):
         """Test that _EntryList can be subclassed"""
-
         class CustomEntryList(_EntryList):
             def __init__(self, *args, custom_attr=None, **kwargs):
                 super().__init__(*args, **kwargs)
                 self.custom_attr = custom_attr
-
+                
             def custom_method(self):
-                return f'Custom: {len(self)} items'
-
-        custom = CustomEntryList(['x', 'y'], my_type='created', custom_attr='test')
-
-        assert custom.custom_attr == 'test'
-        assert custom.custom_method() == 'Custom: 2 items'
+                return f"Custom: {len(self)} items"
+                
+        custom = CustomEntryList(['x', 'y'], my_type='created', custom_attr="test")
+        
+        assert custom.custom_attr == "test"
+        assert custom.custom_method() == "Custom: 2 items"
         assert custom.is_created
-        assert len(custom) == 2
+        assert len(custom) == 2
\ No newline at end of file
diff --git a/tests/unit/global_object/test_global_object.py b/tests/unit_tests/global_object/test_global_object.py
similarity index 64%
rename from tests/unit/global_object/test_global_object.py
rename to tests/unit_tests/global_object/test_global_object.py
index 719fee5a..96cc4888 100644
--- a/tests/unit/global_object/test_global_object.py
+++ b/tests/unit_tests/global_object/test_global_object.py
@@ -1,13 +1,9 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 import pytest
-
-from easyscience import Parameter
-from easyscience import global_object
+import easyscience
 from easyscience.global_object.global_object import GlobalObject
 from easyscience.variable import DescriptorBool
-
+from easyscience import Parameter, ObjBase, global_object
+from unittest.mock import patch, MagicMock
 
 class TestGlobalObject:
     def test_init(self):
@@ -15,7 +11,7 @@ def test_init(self):
         global_object = GlobalObject()
 
         # Expect
-        assert global_object.log == GlobalObject().log
+        assert global_object.log == GlobalObject().log 
         assert global_object.map == GlobalObject().map
         assert global_object.stack == GlobalObject().stack
         assert global_object.debug == GlobalObject().debug
@@ -23,30 +19,24 @@ def test_init(self):
     def test_generate_unique_name(self):
         # When Then
         global_object = GlobalObject()
-        name = global_object.generate_unique_name('name_prefix')
+        name = global_object.generate_unique_name("name_prefix")
 
         # Expect
-        assert name == 'name_prefix_0'
+        assert name == "name_prefix_0"
 
     def test_generate_unique_name_already_taken(self):
         # When
         global_object = GlobalObject()
         # Block the other_name_prefix_2 name
-        keep_due_toweakref_1 = DescriptorBool(
-            name='test', value=True, unique_name='other_name_prefix_2'
-        )
-        keep_due_toweakref_2 = DescriptorBool(
-            name='test', value=True, unique_name='other_name_prefix_a_3'
-        )
-        keep_due_toweakref_3 = DescriptorBool(
-            name='test', value=True, unique_name='almost_other_name_prefix_3'
-        )
+        keep_due_toweakref_1 = DescriptorBool(name="test", value=True, unique_name="other_name_prefix_2")
+        keep_due_toweakref_2 = DescriptorBool(name="test", value=True, unique_name="other_name_prefix_a_3")
+        keep_due_toweakref_3 = DescriptorBool(name="test", value=True, unique_name="almost_other_name_prefix_3")
 
-        # Then
-        name = global_object.generate_unique_name('other_name_prefix')
+        # Then 
+        name = global_object.generate_unique_name("other_name_prefix")
 
         # Expect
-        assert name == 'other_name_prefix_3'
+        assert name == "other_name_prefix_3"
 
     @pytest.fixture
     def clear_global_map(self):
@@ -60,7 +50,7 @@ def test_singleton_behavior(self):
         # When
         obj1 = GlobalObject()
         obj2 = GlobalObject()
-
+        
         # Then
         assert obj1 is obj2
         assert id(obj1) == id(obj2)
@@ -71,24 +61,23 @@ def test_instantiate_stack(self, clear_global_map):
         """Test stack instantiation"""
         # Given
         global_obj = GlobalObject()
-
+        
         # When
         global_obj.instantiate_stack()
-
+        
         # Then
         assert global_obj.stack is not None
         from easyscience.global_object.undo_redo import UndoStack
-
         assert isinstance(global_obj.stack, UndoStack)
 
     def test_debug_property(self):
         """Test debug property access"""
         # Given
         global_obj = GlobalObject()
-
+        
         # When/Then
         assert global_obj.debug is False  # Default value
-
+        
         # Test that it's the same across instances
         global_obj2 = GlobalObject()
         assert global_obj.debug is global_obj2.debug
@@ -97,70 +86,70 @@ def test_generate_unique_name_empty_map(self, clear_global_map):
         """Test unique name generation with empty map"""
         # Given
         global_obj = GlobalObject()
-
+        
         # When
-        name = global_obj.generate_unique_name('test')
-
+        name = global_obj.generate_unique_name("test")
+        
         # Then
-        assert name == 'test_0'
+        assert name == "test_0"
 
     def test_generate_unique_name_with_gaps(self, clear_global_map):
         """Test unique name generation with gaps in numbering"""
         # Given
         global_obj = GlobalObject()
         # Create objects with non-sequential names
-        keep1 = DescriptorBool(name='test', value=True, unique_name='prefix_0')
-        keep2 = DescriptorBool(name='test', value=True, unique_name='prefix_2')
-        keep3 = DescriptorBool(name='test', value=True, unique_name='prefix_5')
-
+        keep1 = DescriptorBool(name="test", value=True, unique_name="prefix_0")
+        keep2 = DescriptorBool(name="test", value=True, unique_name="prefix_2") 
+        keep3 = DescriptorBool(name="test", value=True, unique_name="prefix_5")
+        
         # When
-        name = global_obj.generate_unique_name('prefix')
-
+        name = global_obj.generate_unique_name("prefix")
+        
         # Then - Should pick the highest + 1
-        assert name == 'prefix_6'
+        assert name == "prefix_6"
 
     def test_generate_unique_name_non_numeric_suffix(self, clear_global_map):
         """Test that non-numeric suffixes are ignored"""
         # Given
         global_obj = GlobalObject()
-        keep1 = DescriptorBool(name='test', value=True, unique_name='prefix_abc')
-        keep2 = DescriptorBool(name='test', value=True, unique_name='prefix_1')
-
+        keep1 = DescriptorBool(name="test", value=True, unique_name="prefix_abc")
+        keep2 = DescriptorBool(name="test", value=True, unique_name="prefix_1")
+        
         # When
-        name = global_obj.generate_unique_name('prefix')
-
+        name = global_obj.generate_unique_name("prefix")
+        
         # Then
-        assert name == 'prefix_2'
+        assert name == "prefix_2"
 
     def test_generate_unique_name_similar_prefixes(self, clear_global_map):
         """Test that similar but different prefixes don't interfere"""
         # Given
         global_obj = GlobalObject()
-        keep1 = DescriptorBool(name='test', value=True, unique_name='test_param_5')
-        keep2 = DescriptorBool(name='test', value=True, unique_name='test_parameter_10')
-
+        keep1 = DescriptorBool(name="test", value=True, unique_name="test_param_5")
+        keep2 = DescriptorBool(name="test", value=True, unique_name="test_parameter_10")
+        
         # When
-        name1 = global_obj.generate_unique_name('test_param')
-        name2 = global_obj.generate_unique_name('test_parameter')
-
+        name1 = global_obj.generate_unique_name("test_param")
+        name2 = global_obj.generate_unique_name("test_parameter")
+        
         # Then
-        assert name1 == 'test_param_6'
-        assert name2 == 'test_parameter_11'
+        assert name1 == "test_param_6"
+        assert name2 == "test_parameter_11"
 
     def test_integration_with_parameter_creation(self, clear_global_map):
         """Test GlobalObject integration with Parameter creation"""
         # Given
         global_obj = GlobalObject()
-
+        
         # When
-        param1 = Parameter(name='test1', value=1.0)
-        param2 = Parameter(name='test2', value=2.0)
-
+        param1 = Parameter(name="test1", value=1.0)
+        param2 = Parameter(name="test2", value=2.0)
+        
         # Then
         assert len(global_obj.map.vertices()) == 2
         assert param1.unique_name in global_obj.map.vertices()
         assert param2.unique_name in global_obj.map.vertices()
-
+        
         # Test retrieval
         retrieved1 = global_obj.map.get_item_by_key(param1.unique_name)
         assert retrieved1 is param1
@@ -169,9 +158,8 @@ def test_script_manager_access(self):
         """Test that script manager is accessible"""
         # Given
         global_obj = GlobalObject()
-
+        
         # Then
         assert hasattr(global_obj, 'script')
         from easyscience.global_object.hugger.hugger import ScriptManager
-
         assert isinstance(global_obj.script, ScriptManager)
diff --git a/tests/unit/global_object/test_integration_comprehensive.py b/tests/unit_tests/global_object/test_integration_comprehensive.py
similarity index 76%
rename from tests/unit/global_object/test_integration_comprehensive.py
rename to tests/unit_tests/global_object/test_integration_comprehensive.py
index 61268954..1ea9f584 100644
--- a/tests/unit/global_object/test_integration_comprehensive.py
+++ b/tests/unit_tests/global_object/test_integration_comprehensive.py
@@ -1,21 +1,21 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
-import gc
-from unittest.mock import patch
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import pytest
+import gc
+import weakref
+from unittest.mock import MagicMock, patch
 
-from easyscience import ObjBase
-from easyscience import Parameter
-from easyscience import global_object
+from easyscience import Parameter, ObjBase, global_object
 from easyscience.global_object.global_object import GlobalObject
-from easyscience.variable import DescriptorBool
-
+from easyscience.global_object.map import Map, _EntryList
+from easyscience.global_object.undo_redo import UndoStack
+from easyscience.variable import DescriptorBool, DescriptorNumber
 
 class TestGlobalObjectIntegration:
     """Integration tests for GlobalObject ecosystem"""
-
+    
     @pytest.fixture
     def clear_all(self):
         """Clear everything before and after each test"""
@@ -26,44 +26,44 @@ def clear_all(self):
         global_object.map._clear()
         if global_object.stack:
             global_object.stack.clear()
-
+    
     def test_parameter_lifecycle_integration(self, clear_all):
         """Test complete parameter lifecycle with global object integration"""
         # Given
         global_obj = GlobalObject()
-
+        
         # When - Create parameter
-        param = Parameter(name='test_param', value=10.0, unit='m')
-
+        param = Parameter(name="test_param", value=10.0, unit="m")
+        
         # Then - Should be registered in global map
         assert global_obj.map.is_known(param)
         assert param.unique_name in global_obj.map.vertices()
         assert 'created' in global_obj.map.find_type(param)
-
+        
         # When - Modify parameter with undo/redo enabled
         if not global_obj.stack:
             global_obj.instantiate_stack()
         global_obj.stack.enabled = True
-
+        
         original_value = param.value
         param.value = 20.0
-
+        
         # Then - Should be able to undo/redo
         assert param.value == 20.0
         assert global_obj.stack.canUndo()
-
+        
         global_obj.stack.undo()
         assert param.value == original_value
-
+        
         global_obj.stack.redo()
         assert param.value == 20.0
-
+        
         # When - Delete parameter
         param_name = param.unique_name
         original_count = len(global_obj.map.vertices())
         del param
         gc.collect()
-
+        
         # Then - Should be removed from global map (via weak references)
         # Note: garbage collection timing can vary, so we check count decrease
         # or explicit cleanup
@@ -72,131 +72,130 @@ def test_parameter_lifecycle_integration(self, clear_all):
             # If still present, manually clean up for test consistency
             global_obj.map.prune(param_name)
         assert param_name not in global_obj.map.vertices()
-
+    
     def test_objbase_parameter_relationship(self, clear_all):
         """Test ObjBase containing parameters integration"""
         # Given
         global_obj = GlobalObject()
-
-        param1 = Parameter(name='length', value=10.0, unit='m')
-        param2 = Parameter(name='width', value=5.0, unit='m')
-
+        
+        param1 = Parameter(name="length", value=10.0, unit="m")
+        param2 = Parameter(name="width", value=5.0, unit="m")
+        
         # When - Create ObjBase with parameters
-        obj = ObjBase(name='rectangle', length=param1, width=param2)
-
+        obj = ObjBase(name="rectangle", length=param1, width=param2)
+        
         # Then - All should be in global map
         assert global_obj.map.is_known(obj)
         assert global_obj.map.is_known(param1)
         assert global_obj.map.is_known(param2)
-
+        
         # Check relationships in map
         obj_edges = global_obj.map.get_edges(obj)
         assert param1.unique_name in obj_edges
         assert param2.unique_name in obj_edges
-
+        
         # When - Modify through ObjBase
         if not global_obj.stack:
             global_obj.instantiate_stack()
         global_obj.stack.enabled = True
-
+        
         obj.length.value = 15.0
-
+        
         # Then - Should be able to undo
         assert global_obj.stack.canUndo()
         global_obj.stack.undo()
         assert obj.length.value == 10.0
-
+    
     def test_unique_name_generation_integration(self, clear_all):
         """Test unique name generation across different object types"""
         # Given
         global_obj = GlobalObject()
-
+        
         # When - Create multiple objects of same type
         params = []
         for i in range(5):
-            param = Parameter(name=f'param_{i}', value=float(i))
+            param = Parameter(name=f"param_{i}", value=float(i))
             params.append(param)
-
+        
         # Then - Should have unique names
         unique_names = [p.unique_name for p in params]
         assert len(set(unique_names)) == 5  # All unique
-
+        
         # Names should follow pattern
         for i, name in enumerate(unique_names):
-            assert name == f'Parameter_{i}'
-
+            assert name == f"Parameter_{i}"
+        
         # When - Create mixed object types
-        obj = ObjBase(name='test_obj')
-        desc = DescriptorBool(name='test_desc', value=True)
-
+        obj = ObjBase(name="test_obj")
+        desc = DescriptorBool(name="test_desc", value=True)
+        
         # Then - Should not interfere with each other's naming
-        assert obj.unique_name == 'ObjBase_0'
-        assert desc.unique_name == 'DescriptorBool_0'
-
+        assert obj.unique_name == "ObjBase_0"
+        assert desc.unique_name == "DescriptorBool_0"
+    
     def test_map_vertex_type_management(self, clear_all):
         """Test comprehensive vertex type management"""
         # Given
         global_obj = GlobalObject()
-        param = Parameter(name='test', value=1.0)
-
+        param = Parameter(name="test", value=1.0)
+        
         # When - Check initial type
         initial_types = global_obj.map.find_type(param)
         assert 'created' in initial_types
-
+        
         # When - Change type
         global_obj.map.change_type(param, 'argument')
         updated_types = global_obj.map.find_type(param)
         assert 'created' in updated_types
         assert 'argument' in updated_types
-
+        
         # When - Reset type
         global_obj.map.reset_type(param, 'returned')
         final_types = global_obj.map.find_type(param)
         assert final_types == ['returned']
-
+        
         # When - Filter by type
         returned_objs = global_obj.map.returned_objs
         assert param.unique_name in returned_objs
-
+        
         created_objs = global_obj.map.created_objs
         assert param.unique_name not in created_objs
-
-    @pytest.mark.skip(reason='Weak reference timing can be inconsistent in tests')
+    @pytest.mark.skip(reason="Weak reference timing can be inconsistent in tests")
     def test_weak_reference_cleanup_integration(self, clear_all):
         """Test that weak references properly clean up the map"""
         # Given
         global_obj = GlobalObject()
-
+        
         # When - Create objects
-        param1 = Parameter(name='temp1', value=1.0)
-        param2 = Parameter(name='temp2', value=2.0)
-        obj = ObjBase(name='temp_obj', param1=param1, param2=param2)
-
+        param1 = Parameter(name="temp1", value=1.0)
+        param2 = Parameter(name="temp2", value=2.0)
+        obj = ObjBase(name="temp_obj", param1=param1, param2=param2)
+        
         param1_name = param1.unique_name
         param2_name = param2.unique_name
         obj_name = obj.unique_name
-
+        
         # Then - All should be present
         assert global_obj.map.is_known(param1)
         assert global_obj.map.is_known(param2)
         assert global_obj.map.is_known(obj)
-
+        
         # When - Delete objects
         del param1
         gc.collect()
-
+        
         # Then - param1 should be removed
         assert param1_name not in global_obj.map.vertices()
         assert param2_name in global_obj.map.vertices()
         assert obj_name in global_obj.map.vertices()
-
+        
         # When - Delete remaining objects
         del param2, obj
         gc.collect()
-
+        
         # Then - Map should be empty
         assert len(global_obj.map.vertices()) == 0
-
+    
     def test_complex_undo_redo_scenario(self, clear_all):
         """Test complex undo/redo scenario with multiple objects"""
         # Given
@@ -204,253 +203,259 @@ def test_complex_undo_redo_scenario(self, clear_all):
         if not global_obj.stack:
             global_obj.instantiate_stack()
         global_obj.stack.enabled = True
-
+        
         # Create a complex object structure
-        length = Parameter(name='length', value=10.0, unit='m')
-        width = Parameter(name='width', value=5.0, unit='m')
-        height = Parameter(name='height', value=3.0, unit='m')
-
-        box = ObjBase(name='box', length=length, width=width, height=height)
-
+        length = Parameter(name="length", value=10.0, unit="m")
+        width = Parameter(name="width", value=5.0, unit="m")
+        height = Parameter(name="height", value=3.0, unit="m")
+        
+        box = ObjBase(name="box", length=length, width=width, height=height)
+        
         # When - Perform multiple operations in a macro
-        global_obj.stack.beginMacro('Resize box')
-
+        global_obj.stack.beginMacro("Resize box")
+        
         length.value = 15.0
         width.value = 7.0
         height.value = 4.0
-
+        
         global_obj.stack.endMacro()
-
+        
         # Then - All changes should be applied
         assert box.length.value == 15.0
         assert box.width.value == 7.0
         assert box.height.value == 4.0
-
+        
         # When - Undo macro
         assert global_obj.stack.canUndo()
-        assert global_obj.stack.undoText() == 'Resize box'
-
+        assert global_obj.stack.undoText() == "Resize box"
+        
         global_obj.stack.undo()
-
+        
         # Then - All changes should be reverted
         assert box.length.value == 10.0
         assert box.width.value == 5.0
         assert box.height.value == 3.0
-
+        
         # When - Redo macro
         assert global_obj.stack.canRedo()
         global_obj.stack.redo()
-
+        
         # Then - All changes should be reapplied
         assert box.length.value == 15.0
         assert box.width.value == 7.0
         assert box.height.value == 4.0
-
+    
     def test_map_path_finding_integration(self, clear_all):
         """Test map path finding with real object relationships"""
         # Given
         global_obj = GlobalObject()
-
+        
         # Create a hierarchy: container -> sub_container -> parameter
-        param = Parameter(name='value', value=42.0)
-        sub_container = ObjBase(name='sub', value=param)
-        main_container = ObjBase(name='main', sub=sub_container)
-
+        param = Parameter(name="value", value=42.0)
+        sub_container = ObjBase(name="sub", value=param)
+        main_container = ObjBase(name="main", sub=sub_container)
+        
         # When - Find path from main to parameter
-        path = global_obj.map.find_path(main_container.unique_name, param.unique_name)
-
+        path = global_obj.map.find_path(
+            main_container.unique_name, 
+            param.unique_name
+        )
+        
         # Then - Should find the path through the hierarchy
         assert len(path) >= 2
         assert path[0] == main_container.unique_name
         assert path[-1] == param.unique_name
-
+        
         # When - Find reverse path
-        reverse_path = global_obj.map.reverse_route(param.unique_name, main_container.unique_name)
-
+        reverse_path = global_obj.map.reverse_route(
+            param.unique_name,
+            main_container.unique_name
+        )
+        
         # Then - Should be the reverse
         assert reverse_path[0] == param.unique_name
         assert reverse_path[-1] == main_container.unique_name
-
+    
     def test_map_connectivity_with_isolated_objects(self, clear_all):
         """Test map connectivity detection"""
         # Given
         global_obj = GlobalObject()
-
+        
         # When - Create connected objects
-        param1 = Parameter(name='connected1', value=1.0)
-        param2 = Parameter(name='connected2', value=2.0)
-        container = ObjBase(name='container', p1=param1, p2=param2)
-
+        param1 = Parameter(name="connected1", value=1.0)
+        param2 = Parameter(name="connected2", value=2.0)
+        container = ObjBase(name="container", p1=param1, p2=param2)
+        
         # Then - Map should be connected
         # TODO: Depending on implementation, connectivity might vary
         # assert global_obj.map.is_connected()
-
+        
         # When - Create isolated object
-        isolated = Parameter(name='isolated', value=99.0)
+        isolated = Parameter(name="isolated", value=99.0)
         # Remove its automatic connection by clearing edges
         # (In real usage, isolated objects would be rare)
-
+        
         # Then - Map might still be connected depending on implementation
         # This tests the connectivity algorithm
         connectivity = global_obj.map.is_connected()
         assert isinstance(connectivity, bool)
-
+    
     def test_error_handling_integration(self, clear_all):
         """Test error handling across the global object system"""
         # Given
         global_obj = GlobalObject()
-
+        
         # When - Try to get non-existent object
-        with pytest.raises(ValueError, match='Item not in map'):
-            global_obj.map.get_item_by_key('non_existent')
-
+        with pytest.raises(ValueError, match="Item not in map"):
+            global_obj.map.get_item_by_key("non_existent")
+        
         # When - Try to add object with duplicate name
-        param1 = Parameter(name='test', value=1.0)
+        param1 = Parameter(name="test", value=1.0)
         param1_name = param1.unique_name
-
+        
         # Create another with same unique name (should fail in add_vertex)
-        with pytest.raises(ValueError, match='already exists'):
+        with pytest.raises(ValueError, match="already exists"):
             # This simulates what would happen if we tried to add duplicate
             global_obj.map.add_vertex(param1)  # param1 already added during creation
-
+    
     def test_memory_pressure_simulation(self, clear_all):
         """Test system behavior under memory pressure"""
         # Given
         global_obj = GlobalObject()
-
+        
         # When - Create many objects
         objects = []
         for i in range(100):
-            param = Parameter(name=f'param_{i}', value=float(i))
-            obj = ObjBase(name=f'obj_{i}', param=param)
+            param = Parameter(name=f"param_{i}", value=float(i))
+            obj = ObjBase(name=f"obj_{i}", param=param)
             objects.append((param, obj))
-
+        
         initial_vertex_count = len(global_obj.map.vertices())
         assert initial_vertex_count == 200  # 100 params + 100 objs
-
+        
         # When - Delete half the objects
         objects_to_delete = [objects[i] for i in range(0, 100, 2)]
         for item in objects_to_delete:
             objects.remove(item)
             del item
-
+        
         # Force garbage collection
         gc.collect()
-
+        
         # Then - Map should have fewer vertices
         current_vertex_count = len(global_obj.map.vertices())
         assert current_vertex_count <= initial_vertex_count
-
+        
         # When - Delete all remaining objects
         del objects
         gc.collect()
-
+        
         # Then - Map should be mostly empty (might have some remaining references)
         final_vertex_count = len(global_obj.map.vertices())
         assert final_vertex_count < initial_vertex_count
-
+    
     def test_serialization_integration_with_global_state(self, clear_all):
         """Test serialization integration with global state management"""
         # Given
         global_obj = GlobalObject()
-
+        
         # Create objects
-        param = Parameter(name='test_param', value=123.45, unit='kg')
-        obj = ObjBase(name='test_obj', param=param)
-
+        param = Parameter(name="test_param", value=123.45, unit="kg")
+        obj = ObjBase(name="test_obj", param=param)
+        
         original_vertex_count = len(global_obj.map.vertices())
-
+        
         # When - Serialize objects
         param_dict = param.as_dict()
         obj_dict = obj.as_dict()
-
+        
         # Clear global state
         global_obj.map._clear()
         assert len(global_obj.map.vertices()) == 0
-
+        
         # When - Deserialize objects
         new_param = Parameter.from_dict(param_dict)
         new_obj = ObjBase.from_dict(obj_dict)
-
+        
         # Then - Should be registered in global map again
         assert len(global_obj.map.vertices()) >= 2
         assert global_obj.map.is_known(new_param)
         assert global_obj.map.is_known(new_obj)
-
+        
         # Objects should be functionally equivalent
         assert new_param.name == param.name
         assert new_param.value == param.value
         assert new_param.unit == param.unit
-
+        
     def test_debug_mode_integration(self, clear_all):
         """Test debug mode behavior across the system"""
         # Given
         global_obj = GlobalObject()
         original_debug = global_obj.debug
-
+        
         try:
             # When - Enable debug mode
             global_obj.debug = True
-
+            
             if not global_obj.stack:
                 global_obj.instantiate_stack()
             global_obj.stack.enabled = True
-
+            
             # Create and modify objects
-            param = Parameter(name='debug_test', value=1.0)
-
+            param = Parameter(name="debug_test", value=1.0)
+            
             # This should trigger debug output in property_stack decorator
             with patch('builtins.print') as mock_print:
                 param.value = 2.0
-
+                
                 # Should have printed debug info (if debug mode works)
                 # Note: This depends on the debug implementation details
-
+                
             # Test that operations still work normally
             assert param.value == 2.0
             assert global_obj.stack.canUndo()
-
+            
         finally:
             # Restore original debug state
             global_obj.debug = original_debug
-
+    
     def test_concurrent_access_simulation(self, clear_all):
         """Simulate concurrent access patterns"""
         import threading
         import time
-
+        
         # Given
         global_obj = GlobalObject()
         results = []
         errors = []
-
+        
         def create_objects(thread_id, count=10):
             """Create objects in a thread"""
             try:
                 for i in range(count):
-                    param = Parameter(name=f'thread_{thread_id}_param_{i}', value=float(i))
+                    param = Parameter(name=f"thread_{thread_id}_param_{i}", value=float(i))
                     results.append(param.unique_name)
                     time.sleep(0.001)  # Small delay to encourage race conditions
             except Exception as e:
-                errors.append(f'Thread {thread_id}: {e}')
-
+                errors.append(f"Thread {thread_id}: {e}")
+        
         # When - Create objects concurrently
         threads = []
         for thread_id in range(3):
             thread = threading.Thread(target=create_objects, args=(thread_id, 5))
             threads.append(thread)
-
+        
         for thread in threads:
             thread.start()
-
+        
         for thread in threads:
             thread.join()
-
+        
         # Then - Should not have errors and all objects should be created
-        assert len(errors) == 0, f'Errors occurred: {errors}'
+        assert len(errors) == 0, f"Errors occurred: {errors}"
         assert len(results) == 15  # 3 threads * 5 objects each
         assert len(set(results)) == 15  # All unique names should be unique
-
+        
         # All objects should be in the map
         for unique_name in results:
-            assert unique_name in global_obj.map.vertices()
+            assert unique_name in global_obj.map.vertices()
\ No newline at end of file
diff --git a/tests/unit/global_object/test_map.py b/tests/unit_tests/global_object/test_map.py
similarity index 84%
rename from tests/unit/global_object/test_map.py
rename to tests/unit_tests/global_object/test_map.py
index c68aa96f..a2783e6e 100644
--- a/tests/unit/global_object/test_map.py
+++ b/tests/unit_tests/global_object/test_map.py
@@ -1,135 +1,133 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
-import gc
-from unittest.mock import MagicMock
-
-import pytest
-
-from easyscience import ObjBase
 from easyscience import Parameter
+from easyscience import ObjBase
+import pytest
+import gc
+import weakref
+import numpy as np
+from unittest.mock import MagicMock, patch
 from easyscience import global_object
-from easyscience.global_object.map import Map
-from easyscience.global_object.map import _EntryList
-
+from easyscience.global_object.map import _EntryList, Map
 
 class TestEntryList:
     """Test the _EntryList helper class"""
-
+    
     def test_init_default(self):
         """Test _EntryList initialization with defaults"""
         entry = _EntryList()
         assert entry._type == []
         assert entry.finalizer is None
-
+        
     def test_init_with_known_type(self):
         """Test _EntryList initialization with known type"""
         entry = _EntryList(my_type='created')
         assert 'created' in entry._type
-
+        
     def test_init_with_unknown_type(self):
         """Test _EntryList initialization with unknown type"""
         entry = _EntryList(my_type='unknown')
         assert entry._type == []
-
+        
     def test_repr(self):
         """Test string representation"""
         entry = _EntryList()
         repr_str = str(entry)
         assert 'Undefined' in repr_str
         assert 'finalizer' in repr_str
-
+        
         entry.type = 'created'
         repr_str = str(entry)
         assert 'created' in repr_str
         assert 'finalizer' in repr_str
-
+        
     def test_type_property_getter(self):
         """Test type property getter"""
         entry = _EntryList()
         assert entry.type == []
-
+        
     def test_type_property_setter_valid(self):
         """Test type property setter with valid types"""
         entry = _EntryList()
         entry.type = 'created'
         assert 'created' in entry.type
-
+        
         entry.type = 'argument'
         assert 'argument' in entry.type
         assert 'created' in entry.type  # Should be additive
-
+        
     def test_type_property_setter_invalid(self):
         """Test type property setter with invalid type"""
         entry = _EntryList()
         entry.type = 'invalid'
         assert entry.type == []
-
+        
     def test_type_property_setter_duplicate(self):
         """Test type property setter doesn't add duplicates"""
         entry = _EntryList()
         entry.type = 'created'
         entry.type = 'created'  # Try to add again
         assert entry.type.count('created') == 1
-
+        
     def test_remove_type(self):
         """Test removing a type"""
         entry = _EntryList()
         entry.type = 'created'
         entry.type = 'argument'
-
+        
         entry.remove_type('created')
         assert 'created' not in entry.type
         assert 'argument' in entry.type
-
+        
     def test_remove_type_not_present(self):
         """Test removing a type that's not present"""
         entry = _EntryList()
         entry.type = 'created'
         entry.remove_type('argument')  # Not present
         assert 'created' in entry.type
-
+        
     def test_reset_type(self):
         """Test resetting types"""
         entry = _EntryList()
         entry.type = 'created'
         entry.type = 'argument'
-
+        
         entry.reset_type('returned')
         assert entry.type == ['returned']
-
+        
     def test_reset_type_default_none(self):
         """Test resetting types with no default"""
         entry = _EntryList()
         entry.type = 'created'
-
+        
         entry.reset_type()
         assert entry.type == []
-
+        
     def test_boolean_properties(self):
         """Test boolean property helpers"""
         entry = _EntryList()
-
+        
         # Test all false initially
         assert not entry.is_argument
         assert not entry.is_created
         assert not entry.is_created_internal
         assert not entry.is_returned
-
+        
         # Test each property
         entry.type = 'argument'
         assert entry.is_argument
-
+        
         entry.type = 'created'
         assert entry.is_created
-
+        
         entry.type = 'created_internal'
         assert entry.is_created_internal
-
+        
         entry.type = 'returned'
         assert entry.is_returned
 
-
 class TestMap:
     @pytest.fixture
     def clear(self):
@@ -137,11 +135,11 @@ def clear(self):
 
     @pytest.fixture
     def base_object(self):
-        return ObjBase(name='test')
+        return ObjBase(name="test")
 
     @pytest.fixture
     def parameter_object(self):
-        return Parameter(name='test2', value=2)
+        return Parameter(name="test2", value=2)
 
     def test_add_vertex(self, clear, base_object, parameter_object):
         # When Then Expect
@@ -160,7 +158,7 @@ def test_clear(self, clear, base_object):
 
     def test_weakref(self, clear):
         # When
-        test_obj = ObjBase(name='test')
+        test_obj = ObjBase(name="test")
         assert len(global_object.map._store) == 1
         assert len(global_object.map._Map__type_dict) == 1
         # Then
@@ -172,84 +170,81 @@ def test_weakref(self, clear):
 
     def test_vertices(self, clear, base_object, parameter_object):
         # When Then Expect
-        assert global_object.map.vertices() == [
-            base_object.unique_name,
-            parameter_object.unique_name,
-        ]
+        assert global_object.map.vertices() == [base_object.unique_name, parameter_object.unique_name]
 
     def test_get_item_by_key(self, clear, base_object, parameter_object):
         # When Then Expect
         assert global_object.map.get_item_by_key(base_object.unique_name) == base_object
         assert global_object.map.get_item_by_key(parameter_object.unique_name) == parameter_object
 
-    @pytest.mark.parametrize('cls, kwargs', [(ObjBase, {}), (Parameter, {'value': 2.0})])
+    @pytest.mark.parametrize("cls, kwargs", [(ObjBase, {}), (Parameter, {"value": 2.0})])
     def test_identical_unique_names_exception(self, clear, cls, kwargs):
         # When
-        test_obj = cls(name='test', unique_name='test', **kwargs)
+        test_obj = cls(name="test", unique_name="test", **kwargs)
         # Then Expect
         with pytest.raises(ValueError):
-            test_obj2 = cls(name='test2', unique_name='test', **kwargs)
+            test_obj2 = cls(name="test2", unique_name="test", **kwargs)
 
     def test_unique_name_change_still_in_map(self, clear, base_object, parameter_object):
         # When
-        assert global_object.map.get_item_by_key('ObjBase_0') == base_object
-        assert global_object.map.get_item_by_key('Parameter_0') == parameter_object
+        assert global_object.map.get_item_by_key("ObjBase_0") == base_object
+        assert global_object.map.get_item_by_key("Parameter_0") == parameter_object
         # Then
-        base_object.unique_name = 'test3'
-        parameter_object.unique_name = 'test4'
+        base_object.unique_name = "test3"
+        parameter_object.unique_name = "test4"
         # Expect
-        assert global_object.map.get_item_by_key('ObjBase_0') == base_object
-        assert global_object.map.get_item_by_key('Parameter_0') == parameter_object
-        assert global_object.map.get_item_by_key('test3') == base_object
-        assert global_object.map.get_item_by_key('test4') == parameter_object
+        assert global_object.map.get_item_by_key("ObjBase_0") == base_object
+        assert global_object.map.get_item_by_key("Parameter_0") == parameter_object
+        assert global_object.map.get_item_by_key("test3") == base_object
+        assert global_object.map.get_item_by_key("test4") == parameter_object
 
     def test_add_vertex_duplicate_name_error(self, clear, base_object):
         """Test that adding vertex with duplicate name raises error"""
         # When/Then
-        with pytest.raises(ValueError, match='already exists'):
+        with pytest.raises(ValueError, match="already exists"):
             # Try to add another object with same unique_name
-            duplicate_obj = ObjBase(name='duplicate', unique_name=base_object.unique_name)
-
+            duplicate_obj = ObjBase(name="duplicate", unique_name=base_object.unique_name)
+            
     def test_add_vertex_with_object_type(self, clear):
         """Test adding vertex with specific object type"""
         # Given
-        obj = ObjBase(name='test')
-
+        obj = ObjBase(name="test")
+        
         # When - Object is automatically added during construction
         # Then
         assert global_object.map.is_known(obj)
         assert 'created' in global_object.map.find_type(obj)
-
+        
     def test_is_known_object(self, clear, base_object):
         """Test is_known method"""
         # When/Then
         assert global_object.map.is_known(base_object) is True
-
+        
         # Test with unknown object
         unknown_obj = MagicMock()
-        unknown_obj.unique_name = 'unknown'
+        unknown_obj.unique_name = "unknown"
         assert global_object.map.is_known(unknown_obj) is False
-
+        
     def test_find_type_known_object(self, clear, base_object):
         """Test find_type method"""
         # When/Then
         types = global_object.map.find_type(base_object)
         assert isinstance(types, list)
         assert 'created' in types
-
+        
     def test_find_type_unknown_object(self, clear):
         """Test find_type with unknown object"""
         # Given
         unknown_obj = MagicMock()
-        unknown_obj.unique_name = 'unknown'
-
+        unknown_obj.unique_name = "unknown"
+        
         # When/Then
         result = global_object.map.find_type(unknown_obj)
         assert result is None
 
     def test_returned_objs_access_safe_under_modification(self, clear):
         """Ensure accessing returned_objs doesn't raise when entries change size during iteration."""
-        objs = [ObjBase(name=f'race_{i}') for i in range(8)]
+        objs = [ObjBase(name=f"race_{i}") for i in range(8)]
         # Mark all as returned
         for o in objs:
             global_object.map.change_type(o, 'returned')
@@ -264,312 +259,308 @@ def test_returned_objs_access_safe_under_modification(self, clear):
                 gc.collect()
         # If we got here without exceptions, consider the access safe
         assert True
-
+        
     def test_reset_type(self, clear, base_object):
         """Test resetting object type"""
         # Given
         original_types = global_object.map.find_type(base_object)
-
+        
         # When
         global_object.map.reset_type(base_object, 'argument')
-
+        
         # Then
         new_types = global_object.map.find_type(base_object)
         assert new_types == ['argument']
         assert new_types != original_types
-
+        
     def test_change_type(self, clear, base_object):
         """Test changing object type"""
         # Given
         original_types = global_object.map.find_type(base_object)
         original_count = len(original_types)
-
+        
         # When
         global_object.map.change_type(base_object, 'argument')
-
+        
         # Then
         new_types = global_object.map.find_type(base_object)
         assert 'argument' in new_types
         assert len(new_types) >= original_count  # Should be at least the same or more
-
+        
     def test_add_edge(self, clear, base_object, parameter_object):
         """Test adding edges between objects"""
         # When
         global_object.map.add_edge(base_object, parameter_object)
-
+        
         # Then
         edges = global_object.map.get_edges(base_object)
         assert parameter_object.unique_name in edges
-
+        
     def test_add_edge_unknown_start_object(self, clear, parameter_object):
         """Test adding edge with unknown start object"""
         # Given
         unknown_obj = MagicMock()
-        unknown_obj.unique_name = 'unknown'
-
+        unknown_obj.unique_name = "unknown"
+        
         # When/Then
-        with pytest.raises(AttributeError, match='Start object not in map'):
+        with pytest.raises(AttributeError, match="Start object not in map"):
             global_object.map.add_edge(unknown_obj, parameter_object)
-
+            
     def test_get_edges(self, clear, base_object, parameter_object):
         """Test getting edges for an object"""
         # Given
         global_object.map.add_edge(base_object, parameter_object)
-
+        
         # When
         edges = global_object.map.get_edges(base_object)
-
+        
         # Then
         assert isinstance(edges, list)
         assert parameter_object.unique_name in edges
-
+        
     def test_get_edges_unknown_object(self, clear):
         """Test getting edges for unknown object"""
         # Given
         unknown_obj = MagicMock()
-        unknown_obj.unique_name = 'unknown'
-
+        unknown_obj.unique_name = "unknown"
+        
         # When/Then
         with pytest.raises(AttributeError):
             global_object.map.get_edges(unknown_obj)
-
+            
     def test_prune_vertex_from_edge(self, clear, base_object, parameter_object):
         """Test removing edge between objects"""
         # Given
         global_object.map.add_edge(base_object, parameter_object)
         assert parameter_object.unique_name in global_object.map.get_edges(base_object)
-
+        
         # When
         global_object.map.prune_vertex_from_edge(base_object, parameter_object)
-
+        
         # Then
         edges = global_object.map.get_edges(base_object)
         assert parameter_object.unique_name not in edges
-
+        
     def test_prune_vertex_from_edge_none_child(self, clear, base_object):
         """Test pruning edge with None child"""
         # When/Then - Should not raise error
         global_object.map.prune_vertex_from_edge(base_object, None)
-
+        
     def test_prune_vertex(self, clear, base_object):
         """Test pruning a vertex completely"""
         # Given
         unique_name = base_object.unique_name
         assert global_object.map.is_known(base_object)
-
+        
         # When
         global_object.map.prune(unique_name)
-
+        
         # Then
         assert not global_object.map.is_known(base_object)
         assert unique_name not in global_object.map.vertices()
-
+        
     def test_edges_generation(self, clear, base_object, parameter_object):
         """Test edge generation"""
         # Given
         global_object.map.add_edge(base_object, parameter_object)
-
+        
         # When
         edges = global_object.map.edges()
-
+        
         # Then
         assert isinstance(edges, list)
         expected_edge = {base_object.unique_name, parameter_object.unique_name}
         assert expected_edge in edges
-
+        
     def test_type_filtering_properties(self, clear):
         """Test type filtering properties"""
         # Given
-        obj1 = ObjBase(name='obj1')  # 'created' type
-        obj2 = Parameter(name='obj2', value=1)  # 'created' type
-
+        obj1 = ObjBase(name="obj1")  # 'created' type
+        obj2 = Parameter(name="obj2", value=1)  # 'created' type
+        
         global_object.map.change_type(obj1, 'argument')
         global_object.map.change_type(obj2, 'returned')
-
+        
         # When/Then
         argument_objs = global_object.map.argument_objs
         created_objs = global_object.map.created_objs
         returned_objs = global_object.map.returned_objs
-
+        
         assert obj1.unique_name in argument_objs
         assert obj1.unique_name in created_objs  # Should still be there
         assert obj2.unique_name in created_objs
         assert obj2.unique_name in returned_objs
-
+        
     def test_find_path_simple(self, clear, base_object, parameter_object):
         """Test finding path between objects"""
         # Given
         global_object.map.add_edge(base_object, parameter_object)
-
+        
         # When
         path = global_object.map.find_path(base_object.unique_name, parameter_object.unique_name)
-
+        
         # Then
         assert path == [base_object.unique_name, parameter_object.unique_name]
-
+        
     def test_find_path_same_vertex(self, clear, base_object):
         """Test finding path to same vertex"""
         # When
         path = global_object.map.find_path(base_object.unique_name, base_object.unique_name)
-
+        
         # Then
         assert path == [base_object.unique_name]
-
+        
     def test_find_path_no_path(self, clear, base_object, parameter_object):
         """Test finding path when no path exists"""
         # When - No edge added
         path = global_object.map.find_path(base_object.unique_name, parameter_object.unique_name)
-
+        
         # Then
         assert path == []
-
+        
     def test_find_all_paths(self, clear, base_object, parameter_object):
         """Test finding all paths between objects"""
         # Given
         global_object.map.add_edge(base_object, parameter_object)
-
+        
         # When
-        paths = global_object.map.find_all_paths(
-            base_object.unique_name, parameter_object.unique_name
-        )
-
+        paths = global_object.map.find_all_paths(base_object.unique_name, parameter_object.unique_name)
+        
         # Then
         assert len(paths) == 1
         assert paths[0] == [base_object.unique_name, parameter_object.unique_name]
-
+        
     def test_reverse_route_with_start(self, clear, base_object, parameter_object):
         """Test reverse route with specified start"""
         # Given
         global_object.map.add_edge(base_object, parameter_object)
-
+        
         # When
-        route = global_object.map.reverse_route(
-            parameter_object.unique_name, base_object.unique_name
-        )
-
+        route = global_object.map.reverse_route(parameter_object.unique_name, base_object.unique_name)
+        
         # Then
         assert route == [parameter_object.unique_name, base_object.unique_name]
-
+        
     def test_reverse_route_without_start(self, clear, base_object, parameter_object):
         """Test reverse route without specified start"""
         # Given
         global_object.map.add_edge(base_object, parameter_object)
-
+        
         # When
         route = global_object.map.reverse_route(parameter_object.unique_name)
-
+        
         # Then
         assert len(route) >= 1
         assert route[0] == parameter_object.unique_name
-
+        
     def test_is_connected_single_vertex(self, clear, base_object):
         """Test connectivity with single vertex"""
         # When/Then
         assert global_object.map.is_connected() is True
-
+        
     def test_is_connected_multiple_vertices(self, clear, base_object, parameter_object):
         """Test connectivity with multiple connected vertices"""
         # Given
         global_object.map.add_edge(base_object, parameter_object)
-
+        
         # When/Then
         assert global_object.map.is_connected() is True
-
+        
     def test_map_repr(self, clear, base_object, parameter_object):
         """Test map string representation"""
         # When
         repr_str = str(global_object.map)
-
+        
         # Then
-        assert 'Map object' in repr_str
-        assert '2' in repr_str  # Should show vertex count
-
+        assert "Map object" in repr_str
+        assert "2" in repr_str  # Should show vertex count
+        
     def test_get_item_by_key_not_found(self, clear):
         """Test getting item by non-existent key"""
         # When/Then
-        with pytest.raises(ValueError, match='Item not in map'):
-            global_object.map.get_item_by_key('non_existent')
-
+        with pytest.raises(ValueError, match="Item not in map"):
+            global_object.map.get_item_by_key("non_existent")
+            
     def test_clear_with_finalizers(self, clear):
         """Test clearing map properly calls finalizers"""
         # Given
-        obj = ObjBase(name='test')
+        obj = ObjBase(name="test")
         original_count = len(global_object.map.vertices())
-
+        
         # When
         global_object.map._clear()
-
+        
         # Then
         assert len(global_object.map.vertices()) == 0
-
+        
     def test_map_initialization(self):
         """Test Map initialization"""
         # When
         test_map = Map()
-
+        
         # Then
         assert len(test_map.vertices()) == 0
         assert test_map.edges() == []
 
     def test_vertices_retry_on_runtime_error(self, clear):
         """Test that vertices() retries when RuntimeError occurs during iteration.
-
+        
         This tests the thread-safety fix for WeakValueDictionary modification
         during iteration (e.g., by garbage collection).
         """
         # Given
         test_map = Map()
-
+        
         # Create a mock _store that raises RuntimeError on first iteration attempt
         call_count = 0
         original_store = test_map._store
-
+        
         class MockWeakValueDict:
             def __init__(self):
                 self.data = {}
                 self.iteration_count = 0
-
+            
             def __iter__(self):
                 self.iteration_count += 1
                 if self.iteration_count == 1:
                     # First iteration raises RuntimeError (simulates GC interference)
-                    raise RuntimeError('dictionary changed size during iteration')
+                    raise RuntimeError("dictionary changed size during iteration")
                 # Subsequent iterations succeed
                 return iter(self.data)
-
+            
             def __len__(self):
                 return len(self.data)
-
+        
         mock_store = MockWeakValueDict()
         test_map._store = mock_store
-
+        
         # When
         vertices = test_map.vertices()
-
+        
         # Then
         assert vertices == []
         assert mock_store.iteration_count == 2  # Should have retried once
 
     def test_add_vertex_cleans_stale_type_dict_entry(self, clear):
         """Test that add_vertex cleans up stale __type_dict entries.
-
+        
         This can happen when a weak reference was collected but the finalizer
         hasn't run yet, and a new object is created with the same unique_name.
         """
         # Given
         test_map = Map()
-
+        
         # Manually add a stale entry to __type_dict (simulating GC collected but finalizer not run)
-        stale_name = 'StaleObject_0'
+        stale_name = "StaleObject_0"
         test_map._Map__type_dict[stale_name] = _EntryList()
-
+        
         # Create a mock object with the same unique_name
         mock_obj = MagicMock()
         mock_obj.unique_name = stale_name
-
+        
         # When - Adding the object should clean up the stale entry first
         test_map.add_vertex(mock_obj, 'created')
-
+        
         # Then - Object should be added successfully
         assert stale_name in test_map._store
         assert stale_name in test_map._Map__type_dict
@@ -577,20 +568,20 @@ def test_add_vertex_cleans_stale_type_dict_entry(self, clear):
 
     def test_prune_key_not_in_store(self, clear):
         """Test that prune handles case when key is not in _store.
-
+        
         This defensive check prevents KeyError when the weak reference has
         already been garbage collected but __type_dict entry remains.
         """
         # Given
         test_map = Map()
-
+        
         # Manually add entry to __type_dict without corresponding _store entry
-        orphan_key = 'OrphanObject_0'
+        orphan_key = "OrphanObject_0"
         test_map._Map__type_dict[orphan_key] = _EntryList()
-
+        
         # When - Pruning should not raise error
         test_map.prune(orphan_key)
-
+        
         # Then - Entry should be removed from __type_dict
         assert orphan_key not in test_map._Map__type_dict
 
@@ -600,10 +591,10 @@ def test_prune_key_in_both_dicts(self, clear, base_object):
         unique_name = base_object.unique_name
         assert unique_name in global_object.map._store
         assert unique_name in global_object.map._Map__type_dict
-
+        
         # When
         global_object.map.prune(unique_name)
-
+        
         # Then
         assert unique_name not in global_object.map._Map__type_dict
         # Note: _store entry may or may not exist depending on weak ref state
@@ -611,14 +602,14 @@ def test_prune_key_in_both_dicts(self, clear, base_object):
     def test_prune_nonexistent_key(self, clear):
         """Test that prune handles nonexistent key gracefully."""
         # When/Then - Should not raise error
-        global_object.map.prune('nonexistent_key')
+        global_object.map.prune("nonexistent_key")
 
     def test_reset_type_unknown_object(self, clear):
         """Test reset_type with object not in map."""
         # Given
         unknown_obj = MagicMock()
-        unknown_obj.unique_name = 'unknown'
-
+        unknown_obj.unique_name = "unknown"
+        
         # When/Then - Should not raise error
         global_object.map.reset_type(unknown_obj, 'argument')
 
@@ -626,34 +617,34 @@ def test_change_type_unknown_object(self, clear):
         """Test change_type with object not in map."""
         # Given
         unknown_obj = MagicMock()
-        unknown_obj.unique_name = 'unknown'
-
+        unknown_obj.unique_name = "unknown"
+        
         # When/Then - Should not raise error
         global_object.map.change_type(unknown_obj, 'argument')
 
     def test_find_path_start_not_in_graph(self, clear):
         """Test find_path when start vertex is not in graph."""
         # When
-        path = global_object.map.find_path('nonexistent', 'also_nonexistent')
-
+        path = global_object.map.find_path("nonexistent", "also_nonexistent")
+        
         # Then
         assert path == []
 
     def test_find_all_paths_start_not_in_graph(self, clear):
         """Test find_all_paths when start vertex is not in graph."""
         # When
-        paths = global_object.map.find_all_paths('nonexistent', 'also_nonexistent')
-
+        paths = global_object.map.find_all_paths("nonexistent", "also_nonexistent")
+        
         # Then
         assert paths == []
 
     def test_find_isolated_vertices(self, clear, base_object, parameter_object):
         """Test finding isolated vertices (vertices with no outgoing edges)."""
         # Given - No edges added, both objects are isolated
-
+        
         # When
         isolated = global_object.map.find_isolated_vertices()
-
+        
         # Then
         assert base_object.unique_name in isolated
         assert parameter_object.unique_name in isolated
@@ -662,10 +653,10 @@ def test_find_isolated_vertices_with_edges(self, clear, base_object, parameter_o
         """Test finding isolated vertices when some have edges."""
         # Given
         global_object.map.add_edge(base_object, parameter_object)
-
+        
         # When
         isolated = global_object.map.find_isolated_vertices()
-
+        
         # Then
         # base_object has an edge, so it's not isolated
         assert base_object.unique_name not in isolated
@@ -675,7 +666,7 @@ def test_find_isolated_vertices_with_edges(self, clear, base_object, parameter_o
     def test_prune_vertex_from_edge_edge_not_exists(self, clear, base_object, parameter_object):
         """Test pruning edge that doesn't exist."""
         # Given - No edge added between objects
-
+        
         # When/Then - Should not raise error
         global_object.map.prune_vertex_from_edge(base_object, parameter_object)
 
@@ -683,20 +674,20 @@ def test_prune_vertex_from_edge_parent_not_in_map(self, clear, parameter_object)
         """Test pruning edge when parent is not in map."""
         # Given
         unknown_obj = MagicMock()
-        unknown_obj.unique_name = 'unknown'
-
+        unknown_obj.unique_name = "unknown"
+        
         # When/Then - Should not raise error (vertex1 not in type_dict)
         global_object.map.prune_vertex_from_edge(unknown_obj, parameter_object)
 
     def test_created_internal_property(self, clear):
         """Test created_internal property."""
         # Given
-        obj = ObjBase(name='internal_obj')
+        obj = ObjBase(name="internal_obj")
         global_object.map.change_type(obj, 'created_internal')
-
+        
         # When
         internal_objs = global_object.map.created_internal
-
+        
         # Then
         assert obj.unique_name in internal_objs
 
@@ -705,10 +696,10 @@ def test_clear_empties_both_dicts(self, clear, base_object, parameter_object):
         # Given
         assert len(global_object.map._store) == 2
         assert len(global_object.map._Map__type_dict) == 2
-
+        
         # When
         global_object.map._clear()
-
+        
         # Then
         assert len(global_object.map._store) == 0
         assert len(global_object.map._Map__type_dict) == 0
@@ -717,18 +708,18 @@ def test_entry_list_delitem(self):
         """Test _EntryList __delitem__ method."""
         # Given
         entry = _EntryList()
-        entry.append('item1')
-        entry.append('item2')
-        entry.append('item3')
-
+        entry.append("item1")
+        entry.append("item2")
+        entry.append("item3")
+        
         # When
         del entry[1]
-
+        
         # Then
         assert len(entry) == 2
-        assert 'item2' not in entry
-        assert 'item1' in entry
-        assert 'item3' in entry
+        assert "item2" not in entry
+        assert "item1" in entry
+        assert "item3" in entry
 
     def test_entry_list_repr_with_finalizer(self):
         """Test _EntryList repr when finalizer is set."""
@@ -736,10 +727,10 @@ def test_entry_list_repr_with_finalizer(self):
         entry = _EntryList()
         entry.type = 'created'
         entry.finalizer = MagicMock()  # Non-None finalizer
-
+        
         # When
         repr_str = str(entry)
-
+        
         # Then
         assert 'created' in repr_str
         assert 'With a finalizer' in repr_str
@@ -749,9 +740,10 @@ def test_entry_list_remove_type_unknown(self):
         # Given
         entry = _EntryList()
         entry.type = 'created'
-
+        
         # When - Try to remove unknown type
         entry.remove_type('unknown_type')
-
+        
         # Then - Should not change anything
         assert 'created' in entry.type
+
diff --git a/tests/unit/global_object/test_undo_redo.py b/tests/unit_tests/global_object/test_undo_redo.py
similarity index 77%
rename from tests/unit/global_object/test_undo_redo.py
rename to tests/unit_tests/global_object/test_undo_redo.py
index be39eac3..212681ac 100644
--- a/tests/unit/global_object/test_undo_redo.py
+++ b/tests/unit_tests/global_object/test_undo_redo.py
@@ -1,35 +1,36 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import math
 
 import numpy as np
 import pytest
 
-from easyscience import DescriptorNumber
-from easyscience import Fitter
-from easyscience import ObjBase
-from easyscience import Parameter
 from easyscience.base_classes import CollectionBase
-from easyscience.variable import DescriptorBool
 from easyscience.variable import DescriptorStr
+from easyscience.variable import DescriptorBool
+from easyscience import ObjBase
+from easyscience import Parameter
+from easyscience import DescriptorNumber
+from easyscience import Fitter
 
 
 def createSingleObjs(idx):
-    alphabet = 'abcdefghijklmnopqrstuvwxyz'
+    alphabet = "abcdefghijklmnopqrstuvwxyz"
     reps = math.floor(idx / len(alphabet)) + 1
     name = alphabet[idx % len(alphabet)] * reps
     if idx % 2:
-        return Parameter(name, idx, unit='m/s')
+        return Parameter(name, idx,unit="m/s")
     else:
-        return DescriptorNumber(name, idx, unit='m/s')
+        return DescriptorNumber(name, idx,unit="m/s")
 
 
 def createParam(option):
     return pytest.param(option, id=option[0])
 
 
-def doUndoRedo(obj, attr, future, additional=''):
+def doUndoRedo(obj, attr, future, additional=""):
     from easyscience import global_object
 
     global_object.stack.enabled = True
@@ -43,7 +44,7 @@ def getter(_obj, _attr):
 
     try:
         previous = getter(obj, attr)
-        if attr == 'unit' and hasattr(obj, 'convert_unit'):
+        if attr == "unit" and hasattr(obj, "convert_unit"):
             obj.convert_unit(future)
         else:
             setattr(obj, attr, future)
@@ -60,82 +61,79 @@ def getter(_obj, _attr):
         global_object.stack.enabled = False
     return e
 
-
 @pytest.mark.parametrize(
-    'test',
+    "test",
     [
         createParam(option)
         for option in [
-            ('value', 500),
-            ('error', 5),
-            ('unit', 'km/s'),
-            ('display_name', 'boom'),
+            ("value", 500),
+            ("error", 5),
+            ("unit", "km/s"),
+            ("display_name", "boom"),
         ]
     ],
 )
+
 def test_DescriptorNumberUndoRedo(test):
-    obj = DescriptorNumber('DescriptorNumber', 1, unit='m/s')
+    obj = DescriptorNumber('DescriptorNumber',1,unit='m/s')
     attr = test[0]
     value = test[1]
 
     e = doUndoRedo(obj, attr, value)
     assert not e
 
-
 def test_DescriptorBoolUndoRedo():
-    obj = DescriptorBool('DescriptorBool', False)
+    obj = DescriptorBool('DescriptorBool',False)
     attr = 'value'
     value = True
 
     e = doUndoRedo(obj, attr, value)
     assert not e
 
-    obj = DescriptorBool('DescriptorBool', True)
+    obj = DescriptorBool('DescriptorBool',True)
     attr = 'value'
     value = False
 
     e = doUndoRedo(obj, attr, value)
     assert not e
 
-
 def test_DescriptorStrUndoRedo():
-    obj = DescriptorStr('DescriptorStr', 'Foo')
+    obj = DescriptorStr('DescriptorStr','Foo')
     attr = 'value'
     value = 'Bar'
 
     e = doUndoRedo(obj, attr, value)
     assert not e
 
-
 @pytest.mark.parametrize(
-    'test',
+    "test",
     [
         createParam(option)
         for option in [
-            ('value', 500),
-            ('error', 5),
-            ('unit', 'km/s'),
-            ('display_name', 'boom'),
-            ('fixed', False),
-            ('max', 505),
-            ('min', -1),
+            ("value", 500),
+            ("error", 5),
+            ("unit", "km/s"),
+            ("display_name", "boom"),
+            ("fixed", False),
+            ("max", 505),
+            ("min", -1),
         ]
     ],
 )
+
 def test_ParameterUndoRedo(test):
-    obj = Parameter('Parameter', 1, unit='m/s')
+    obj = Parameter('Parameter',1,unit='m/s')
     attr = test[0]
     value = test[1]
 
     e = doUndoRedo(obj, attr, value)
     assert not e
 
-
 def test_Parameter_Bounds_UndoRedo():
     from easyscience import global_object
 
     global_object.stack.enabled = True
-    parameter = Parameter('test', 1)
+    parameter = Parameter("test", 1)
     assert parameter.min == -np.inf
     assert parameter.max == np.inf
 
@@ -152,24 +150,24 @@ def test_Parameter_Bounds_UndoRedo():
 
 def test_ObjBaseUndoRedo():
     objs = {obj.name: obj for obj in [createSingleObjs(idx) for idx in range(5)]}
-    name = 'test'
+    name = "test"
     obj = ObjBase(name, **objs)
-    name2 = 'best'
+    name2 = "best"
 
     # Test name
     # assert not doUndoRedo(obj, 'name', name2)
 
     # Test setting value
     for b_obj in objs.values():
-        e = doUndoRedo(obj, b_obj.name, b_obj.value + 1, 'value')
+        e = doUndoRedo(obj, b_obj.name, b_obj.value + 1, "value")
         assert not e
 
 
 def test_CollectionBaseUndoRedo():
     objs = [createSingleObjs(idx) for idx in range(5)]
-    name = 'test'
+    name = "test"
     obj = CollectionBase(name, *objs)
-    name2 = 'best'
+    name2 = "best"
 
     # assert not doUndoRedo(obj, 'name', name2)
 
@@ -178,7 +176,7 @@ def test_CollectionBaseUndoRedo():
     global_object.stack.enabled = True
 
     original_length = len(obj)
-    p = Parameter('slip_in', 50)
+    p = Parameter("slip_in", 50)
     idx = 2
     obj.insert(idx, p)
     assert len(obj) == original_length + 1
@@ -239,7 +237,7 @@ def test_CollectionBaseUndoRedo():
 def test_UndoRedoMacros():
     items = [createSingleObjs(idx) for idx in range(5)]
     offset = 5
-    undo_text = 'test_macro'
+    undo_text = "test_macro"
     from easyscience import global_object
 
     global_object.stack.enabled = True
@@ -265,7 +263,7 @@ def test_UndoRedoMacros():
         assert item.value == old_value + offset
 
 
-@pytest.mark.parametrize('fit_engine', ['LMFit', 'Bumps', 'DFO'])
+@pytest.mark.parametrize("fit_engine", ["LMFit", "Bumps", "DFO"])
 def test_fittingUndoRedo(fit_engine):
     m_value = 6
     c_value = 2
@@ -275,18 +273,18 @@ def test_fittingUndoRedo(fit_engine):
 
     class Line(ObjBase):
         def __init__(self, m: Parameter, c: Parameter):
-            super(Line, self).__init__('basic_line', m=m, c=c)
+            super(Line, self).__init__("basic_line", m=m, c=c)
 
         @classmethod
         def default(cls):
-            m = Parameter('m', m_value)
-            c = Parameter('c', c_value)
+            m = Parameter("m", m_value)
+            c = Parameter("c", c_value)
             return cls(m=m, c=c)
 
         @classmethod
         def from_pars(cls, m_value: float, c_value: float):
-            m = Parameter('m', m_value)
-            c = Parameter('c', c_value)
+            m = Parameter("m", m_value)
+            c = Parameter("c", c_value)
             return cls(m=m, c=c)
 
         def __call__(self, x: np.ndarray) -> np.ndarray:
@@ -306,7 +304,7 @@ def __call__(self, x: np.ndarray) -> np.ndarray:
     try:
         f.switch_minimizer(fit_engine)
     except AttributeError:
-        pytest.skip(msg=f'{fit_engine} is not installed')
+        pytest.skip(msg=f"{fit_engine} is not installed")
 
     from easyscience import global_object
 
@@ -315,17 +313,16 @@ def __call__(self, x: np.ndarray) -> np.ndarray:
 
     # assert l1.c.value == pytest.approx(l2.c.value, rel=l2.c.error * 3)
     # assert l1.m.value == pytest.approx(l2.m.value, rel=l2.m.error * 3)
-    assert global_object.stack.undoText() == 'Fitting routine'
+    assert global_object.stack.undoText() == "Fitting routine"
 
     global_object.stack.undo()
     assert l2.m.value == m_sp
     assert l2.c.value == c_sp
-    assert global_object.stack.redoText() == 'Fitting routine'
+    assert global_object.stack.redoText() == "Fitting routine"
 
     global_object.stack.redo()
-    assert l2.m.value == res.p[f'p{l2.m.unique_name}']
-    assert l2.c.value == res.p[f'p{l2.c.unique_name}']
-
+    assert l2.m.value == res.p[f"p{l2.m.unique_name}"]
+    assert l2.c.value == res.p[f"p{l2.c.unique_name}"]
 
 # TODO: Check if this test is needed
 # @pytest.mark.parametrize('math_funcs', [pytest.param([Parameter.__add__, float.__add__], id='Addition'),
@@ -350,41 +347,41 @@ def __call__(self, x: np.ndarray) -> np.ndarray:
 #     p2 = Parameter('b', b)
 
 #     p1 = p_fun(p1, p2)
-
+    
 #     assert p1.value == result_value
 #     global_object.stack.undo()
 #     assert p1.value == a
 #     global_object.stack.redo()
 #     assert p1.value == result_value
 
-# # Perform basic + error
-# p1 = Parameter('a', a, error=sa)
-# p2 = Parameter('b', b, error=sb)
-# p1 = p_fun(p1, p2)
-# assert p1.value == result_value
-# assert p1.error == result_error
-# global_object.stack.undo()
-# assert p1.value == a
-# assert p1.error == sa
-# global_object.stack.redo()
-# assert p1.value == result_value
-# assert p1.error == result_error
-
-# # Perform basic + units
-# p1 = Parameter('a', a, error=sa, units='m/s')
-# p2 = Parameter('b', b, error=sb, units='m/s')
-# p1 = p_fun(p1, p2)
-# assert p1.value == result_value
-# assert p1.error == result_error
-# assert str(p1.unit) == 'meter / second'
-# global_object.stack.undo()
-# assert p1.value == a
-# assert p1.error == sa
-# assert str(p1.unit) == 'meter / second'
-# global_object.stack.redo()
-# assert p1.value == result_value
-# assert p1.error == result_error
-# assert str(p1.unit) == 'meter / second'
+    # # Perform basic + error
+    # p1 = Parameter('a', a, error=sa)
+    # p2 = Parameter('b', b, error=sb)
+    # p1 = p_fun(p1, p2)
+    # assert p1.value == result_value
+    # assert p1.error == result_error
+    # global_object.stack.undo()
+    # assert p1.value == a
+    # assert p1.error == sa
+    # global_object.stack.redo()
+    # assert p1.value == result_value
+    # assert p1.error == result_error
+
+    # # Perform basic + units
+    # p1 = Parameter('a', a, error=sa, units='m/s')
+    # p2 = Parameter('b', b, error=sb, units='m/s')
+    # p1 = p_fun(p1, p2)
+    # assert p1.value == result_value
+    # assert p1.error == result_error
+    # assert str(p1.unit) == 'meter / second'
+    # global_object.stack.undo()
+    # assert p1.value == a
+    # assert p1.error == sa
+    # assert str(p1.unit) == 'meter / second'
+    # global_object.stack.redo()
+    # assert p1.value == result_value
+    # assert p1.error == result_error
+    # assert str(p1.unit) == 'meter / second'
 
 
 # @pytest.mark.parametrize('math_funcs', [pytest.param([Parameter.__imul__, float.__mul__,
diff --git a/tests/unit/global_object/test_undo_redo_comprehensive.py b/tests/unit_tests/global_object/test_undo_redo_comprehensive.py
similarity index 83%
rename from tests/unit/global_object/test_undo_redo_comprehensive.py
rename to tests/unit_tests/global_object/test_undo_redo_comprehensive.py
index 05264c1b..024731a7 100644
--- a/tests/unit/global_object/test_undo_redo_comprehensive.py
+++ b/tests/unit_tests/global_object/test_undo_redo_comprehensive.py
@@ -1,150 +1,142 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from unittest.mock import MagicMock
-from unittest.mock import patch
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 
 import pytest
+import numpy as np
+from unittest.mock import MagicMock, patch, call
+from collections import deque
 
-from easyscience.global_object.undo_redo import CommandHolder
-from easyscience.global_object.undo_redo import DictStack
-from easyscience.global_object.undo_redo import DictStackReCreate
-from easyscience.global_object.undo_redo import FunctionStack
-from easyscience.global_object.undo_redo import NotarizedDict
-from easyscience.global_object.undo_redo import PropertyStack
-from easyscience.global_object.undo_redo import UndoCommand
-from easyscience.global_object.undo_redo import UndoStack
-from easyscience.global_object.undo_redo import dict_stack_deco
-from easyscience.global_object.undo_redo import property_stack
-
+from easyscience import global_object, Parameter, ObjBase
+from easyscience.global_object.undo_redo import (
+    UndoCommand, UndoStack, PropertyStack, FunctionStack, 
+    DictStack, DictStackReCreate, CommandHolder, NotarizedDict,
+    property_stack, dict_stack_deco
+)
 
 class MockUndoCommand(UndoCommand):
     """Mock implementation for testing"""
-
     def __init__(self, obj, text=None):
         super().__init__(obj)
         if text:
             self.text = text
         self.undo_called = False
         self.redo_called = False
-
+        
     def undo(self):
         self.undo_called = True
-
+        
     def redo(self):
         self.redo_called = True
 
-
 class TestUndoCommand:
     """Test abstract UndoCommand base class"""
-
+    
     def test_init(self):
         """Test UndoCommand initialization"""
         obj = MagicMock()
         cmd = MockUndoCommand(obj)
-
+        
         assert cmd._obj is obj
         assert cmd._text is None
-
+        
     def test_text_property(self):
         """Test text property getter/setter"""
         cmd = MockUndoCommand(MagicMock())
-
+        
         # Test getter
         assert cmd.text is None
-
+        
         # Test setter
-        cmd.text = 'test text'
-        assert cmd.text == 'test text'
-
+        cmd.text = "test text"
+        assert cmd.text == "test text"
+        
     def test_abstract_methods(self):
         """Test that abstract methods are implemented"""
         cmd = MockUndoCommand(MagicMock())
-
+        
         # Should not raise NotImplementedError
         cmd.undo()
         cmd.redo()
         assert cmd.undo_called
         assert cmd.redo_called
 
-
 class TestCommandHolder:
     """Test CommandHolder class"""
-
+    
     def test_init_default(self):
         """Test CommandHolder initialization"""
         holder = CommandHolder()
         assert len(holder) == 0
-        assert holder.text == ''
+        assert holder.text == ""
         assert not holder.is_macro
-
+        
     def test_init_with_text(self):
         """Test CommandHolder initialization with text"""
-        holder = CommandHolder('test text')
-        assert holder._text == 'test text'
-
+        holder = CommandHolder("test text")
+        assert holder._text == "test text"
+        
     def test_append_and_pop(self):
         """Test appending and popping commands"""
         holder = CommandHolder()
         cmd = MockUndoCommand(MagicMock())
-
+        
         holder.append(cmd)
         assert len(holder) == 1
         assert holder.current is cmd
-
+        
         popped = holder.pop()
         assert popped is cmd
         assert len(holder) == 0
-
+        
     def test_iteration(self):
         """Test iteration over commands"""
         holder = CommandHolder()
-        cmd1 = MockUndoCommand(MagicMock(), 'cmd1')
-        cmd2 = MockUndoCommand(MagicMock(), 'cmd2')
-
+        cmd1 = MockUndoCommand(MagicMock(), "cmd1")
+        cmd2 = MockUndoCommand(MagicMock(), "cmd2")
+        
         holder.append(cmd1)
         holder.append(cmd2)
-
+        
         commands = list(holder)
         assert len(commands) == 2
         assert cmd2 in commands  # Last appended should be first (LIFO)
-
+        
     def test_is_macro_property(self):
         """Test is_macro property"""
         holder = CommandHolder()
         assert not holder.is_macro
-
+        
         holder.append(MockUndoCommand(MagicMock()))
         assert not holder.is_macro
-
+        
         holder.append(MockUndoCommand(MagicMock()))
         assert holder.is_macro
-
+        
     def test_text_property_with_commands(self):
         """Test text property with commands"""
         holder = CommandHolder()
-        cmd = MockUndoCommand(MagicMock(), 'command text')
+        cmd = MockUndoCommand(MagicMock(), "command text")
         holder.append(cmd)
-
-        assert holder.text == 'command text'
-
+        
+        assert holder.text == "command text"
+        
     def test_text_property_override(self):
         """Test text property with override"""
-        holder = CommandHolder('override text')
-        cmd = MockUndoCommand(MagicMock(), 'command text')
+        holder = CommandHolder("override text")
+        cmd = MockUndoCommand(MagicMock(), "command text")
         holder.append(cmd)
-
-        assert holder.text == 'override text'
-
+        
+        assert holder.text == "override text"
 
 class TestUndoStack:
     """Test UndoStack class"""
-
+    
     @pytest.fixture
     def stack(self):
         """Create a fresh UndoStack for each test"""
         return UndoStack()
-
+        
     def test_init_default(self, stack):
         """Test UndoStack initialization"""
         assert stack.enabled is False
@@ -152,394 +144,389 @@ def test_init_default(self, stack):
         assert len(stack.future) == 0
         assert not stack._macro_running
         assert not stack._command_running
-
+        
     def test_init_with_max_history(self):
         """Test UndoStack initialization with max history"""
         stack = UndoStack(max_history=5)
         assert stack._max_history == 5
         assert stack.history.maxlen == 5
         assert stack.future.maxlen == 5
-
+        
     def test_enabled_property(self, stack):
         """Test enabled property getter/setter"""
         assert not stack.enabled
-
+        
         stack.enabled = True
         assert stack.enabled
-
+        
         stack.enabled = False
         assert not stack.enabled
-
+        
     def test_enabled_setter_with_running_macro(self, stack):
         """Test that setting enabled=False ends running macro"""
         stack.enabled = True
-        stack.beginMacro('test')
+        stack.beginMacro("test")
         assert stack._macro_running
-
+        
         stack.enabled = False
         assert not stack._macro_running
-
+        
     def test_force_state(self, stack):
         """Test force_state method"""
         stack.force_state(True)
         assert stack.enabled
-
+        
         stack.force_state(False)
         assert not stack.enabled
-
+        
     def test_push_disabled_stack(self, stack):
         """Test pushing command to disabled stack"""
         cmd = MockUndoCommand(MagicMock())
-
+        
         stack.push(cmd)
-
+        
         assert cmd.redo_called
         assert len(stack.history) == 0
-
+        
     def test_push_enabled_stack(self, stack):
         """Test pushing command to enabled stack"""
         stack.enabled = True
         cmd = MockUndoCommand(MagicMock())
-
+        
         stack.push(cmd)
-
+        
         assert cmd.redo_called
         assert len(stack.history) == 1
         assert len(stack.future) == 0
-
+        
     def test_push_with_macro(self, stack):
         """Test pushing command during macro"""
         stack.enabled = True
-        stack.beginMacro('test macro')
-
+        stack.beginMacro("test macro")
+        
         cmd1 = MockUndoCommand(MagicMock())
         cmd2 = MockUndoCommand(MagicMock())
-
+        
         stack.push(cmd1)
         stack.push(cmd2)
-
+        
         assert len(stack.history) == 1  # Only the macro holder
         assert len(stack.history[0]) == 2  # Two commands in the macro
-
+        
     def test_push_clears_future(self, stack):
         """Test that push clears future stack"""
         stack.enabled = True
         cmd1 = MockUndoCommand(MagicMock())
         cmd2 = MockUndoCommand(MagicMock())
-
+        
         stack.push(cmd1)
         stack.undo()
         assert len(stack.future) == 1
-
+        
         stack.push(cmd2)
         assert len(stack.future) == 0
-
+        
     def test_pop(self, stack):
         """Test popping last command"""
         stack.enabled = True
         cmd = MockUndoCommand(MagicMock())
-
+        
         stack.push(cmd)
         popped = stack.pop()
-
+        
         assert popped is cmd
         assert len(stack.history) == 0
-
+        
     def test_pop_from_macro(self, stack):
         """Test popping from macro"""
         stack.enabled = True
-        stack.beginMacro('test')
-
+        stack.beginMacro("test")
+        
         cmd1 = MockUndoCommand(MagicMock())
         cmd2 = MockUndoCommand(MagicMock())
-
+        
         stack.push(cmd1)
         stack.push(cmd2)
-
+        
         popped = stack.pop()
         assert popped is cmd2
         assert len(stack.history[0]) == 1  # One command left in macro
-
+        
     def test_clear(self, stack):
         """Test clearing the stack"""
         stack.enabled = True
         stack.push(MockUndoCommand(MagicMock()))
-        stack.beginMacro('test')
-
+        stack.beginMacro("test")
+        
         stack.clear()
-
+        
         assert len(stack.history) == 0
         assert len(stack.future) == 0
         assert not stack._macro_running
-
+        
     def test_undo_success(self, stack):
         """Test successful undo operation"""
         stack.enabled = True
         cmd = MockUndoCommand(MagicMock())
-
+        
         stack.push(cmd)
         stack.undo()
-
+        
         assert cmd.undo_called
         assert len(stack.history) == 0
         assert len(stack.future) == 1
-
+        
     def test_undo_cannot_undo(self, stack):
         """Test undo when cannot undo"""
         assert not stack.canUndo()
         stack.undo()  # Should not raise error
-
+        
     def test_undo_with_exception(self, stack):
         """Test undo with exception in command"""
         stack.enabled = True
-
+        
         class FailingCommand(UndoCommand):
             def undo(self):
-                raise Exception('test error')
-
+                raise Exception("test error")
             def redo(self):
                 pass
-
+                
         cmd = FailingCommand(MagicMock())
         stack.push(cmd)
-
+        
         # Should not raise, just print error
         stack.undo()
-
+        
     def test_redo_success(self, stack):
         """Test successful redo operation"""
         stack.enabled = True
         cmd = MockUndoCommand(MagicMock())
-
+        
         stack.push(cmd)
         stack.undo()
         stack.redo()
-
+        
         assert cmd.redo_called
         assert len(stack.history) == 1
         assert len(stack.future) == 0
-
+        
     def test_redo_cannot_redo(self, stack):
         """Test redo when cannot redo"""
         assert not stack.canRedo()
         stack.redo()  # Should not raise error
-
+        
     def test_macro_operations(self, stack):
         """Test macro begin/end operations"""
         stack.enabled = True
-
-        stack.beginMacro('test macro')
+        
+        stack.beginMacro("test macro")
         assert stack._macro_running
-
+        
         cmd1 = MockUndoCommand(MagicMock())
         cmd2 = MockUndoCommand(MagicMock())
         stack.push(cmd1)
         stack.push(cmd2)
-
+        
         stack.endMacro()
         assert not stack._macro_running
-
+        
         # Undo should undo both commands
         stack.undo()
         assert cmd1.undo_called
         assert cmd2.undo_called
-
+        
     def test_macro_nested_error(self, stack):
         """Test error on nested macro"""
         stack.enabled = True
-        stack.beginMacro('test1')
-
-        with pytest.raises(AssertionError, match='already running'):
-            stack.beginMacro('test2')
-
+        stack.beginMacro("test1")
+        
+        with pytest.raises(AssertionError, match="already running"):
+            stack.beginMacro("test2")
+            
     def test_end_macro_without_begin_error(self, stack):
         """Test error on ending macro without begin"""
         stack.enabled = True
-
-        with pytest.raises(AssertionError, match='not running'):
+        
+        with pytest.raises(AssertionError, match="not running"):
             stack.endMacro()
-
+            
     def test_can_undo_redo_states(self, stack):
         """Test canUndo/canRedo state checking"""
         assert not stack.canUndo()
         assert not stack.canRedo()
-
+        
         stack.enabled = True
         cmd = MockUndoCommand(MagicMock())
         stack.push(cmd)
-
+        
         assert stack.canUndo()
         assert not stack.canRedo()
-
+        
         stack.undo()
         assert not stack.canUndo()
         assert stack.canRedo()
-
+        
     def test_can_undo_redo_during_macro(self, stack):
         """Test canUndo/canRedo during macro"""
         stack.enabled = True
         stack.push(MockUndoCommand(MagicMock()))
-
-        stack.beginMacro('test')
+        
+        stack.beginMacro("test")
         assert not stack.canUndo()  # Cannot undo during macro
         assert not stack.canRedo()  # Cannot redo during macro
-
+        
     def test_undo_redo_text(self, stack):
         """Test undo/redo text retrieval"""
         stack.enabled = True
-        cmd = MockUndoCommand(MagicMock(), 'test command')
-
+        cmd = MockUndoCommand(MagicMock(), "test command")
+        
         stack.push(cmd)
-        assert stack.undoText() == 'test command'
-        assert stack.redoText() == ''
-
+        assert stack.undoText() == "test command"
+        assert stack.redoText() == ""
+        
         stack.undo()
-        assert stack.undoText() == ''
-        assert stack.redoText() == 'test command'
-
+        assert stack.undoText() == ""
+        assert stack.redoText() == "test command"
 
 class TestPropertyStack:
     """Test PropertyStack command"""
-
+    
     def test_init(self):
         """Test PropertyStack initialization"""
         parent = MagicMock()
         func = MagicMock()
         old_value = 10
         new_value = 20
-
+        
         cmd = PropertyStack(parent, func, old_value, new_value)
-
+        
         assert cmd._parent is parent
         assert cmd._set_func is func
         assert cmd._old_value == old_value
         assert cmd._new_value == new_value
-        assert '10' in cmd.text and '20' in cmd.text
-
+        assert "10" in cmd.text and "20" in cmd.text
+        
     def test_init_with_custom_text(self):
         """Test PropertyStack with custom text"""
-        cmd = PropertyStack(MagicMock(), MagicMock(), 10, 20, 'custom text')
-        assert cmd.text == 'custom text'
-
+        cmd = PropertyStack(MagicMock(), MagicMock(), 10, 20, "custom text")
+        assert cmd.text == "custom text"
+        
     def test_undo_redo(self):
         """Test PropertyStack undo/redo"""
         parent = MagicMock()
         func = MagicMock()
-
+        
         cmd = PropertyStack(parent, func, 10, 20)
-
+        
         cmd.undo()
         func.assert_called_once_with(parent, 10)
-
+        
         func.reset_mock()
         cmd.redo()
         func.assert_called_once_with(parent, 20)
 
-
 class TestFunctionStack:
     """Test FunctionStack command"""
-
+    
     def test_init(self):
         """Test FunctionStack initialization"""
         parent = MagicMock()
         set_func = MagicMock()
         unset_func = MagicMock()
-
+        
         cmd = FunctionStack(parent, set_func, unset_func)
-
+        
         assert cmd._parent is parent
         assert cmd._old_fn is set_func
         assert cmd._new_fn is unset_func
-
+        
     def test_undo_redo(self):
         """Test FunctionStack undo/redo"""
         set_func = MagicMock()
         unset_func = MagicMock()
-
+        
         cmd = FunctionStack(MagicMock(), set_func, unset_func)
-
+        
         cmd.undo()
         unset_func.assert_called_once()
-
+        
         cmd.redo()
         set_func.assert_called_once()
 
-
 class TestNotarizedDict:
     """Test NotarizedDict class"""
-
+    
     def test_init(self):
         """Test NotarizedDict initialization"""
         nd = NotarizedDict(a=1, b=2)
-
+        
         assert nd['a'] == 1
         assert nd['b'] == 2
         assert not nd._stack_enabled
-
+        
     def test_setitem_without_stack(self):
         """Test setitem without stack enabled"""
         nd = NotarizedDict()
         nd['key'] = 'value'
-
+        
         assert nd['key'] == 'value'
-
+        
     def test_delitem_without_stack(self):
         """Test delitem without stack enabled"""
         nd = NotarizedDict(key='value')
         del nd['key']
-
+        
         assert 'key' not in nd
-
+        
     def test_reorder_without_stack(self):
         """Test reorder without stack enabled"""
         nd = NotarizedDict(a=1, b=2)
         nd.reorder(b=2, a=1)
-
+        
         assert list(nd.keys()) == ['b', 'a']
-
+        
     def test_repr(self):
         """Test string representation"""
         nd = NotarizedDict(a=1)
         repr_str = repr(nd)
-
+        
         assert 'NotarizedDict' in repr_str
         assert "'a': 1" in repr_str
 
-
 class TestDictStack:
     """Test DictStack command"""
-
+    
     def test_init_deletion(self):
         """Test DictStack initialization for deletion"""
         nd = NotarizedDict(key='value')
         cmd = DictStack(nd, 'key')
-
+        
         assert cmd._deletion is True
         assert cmd._creation is False
         assert cmd._key == 'key'
         assert cmd._old_value == 'value'
         assert cmd._index == 0
-
+        
     def test_init_creation(self):
         """Test DictStack initialization for creation"""
         nd = NotarizedDict()
         cmd = DictStack(nd, 'key', 'value')
-
+        
         assert cmd._creation is True
         assert cmd._deletion is False
         assert cmd._key == 'key'
         assert cmd._new_value == 'value'
-
+        
     def test_init_modification(self):
         """Test DictStack initialization for modification"""
         nd = NotarizedDict(key='old_value')
         cmd = DictStack(nd, 'key', 'new_value')
-
+        
         assert not cmd._creation
         assert not cmd._deletion
         assert cmd._old_value == 'old_value'
         assert cmd._new_value == 'new_value'
-
+        
     def test_undo_redo_creation(self):
         """Test undo/redo for creation"""
         nd = NotarizedDict()
@@ -592,114 +579,108 @@ def test_undo_redo_deletion(self):
         cmd.redo()
         assert 'key' not in nd.data
 
-
 class TestDictStackReCreate:
     """Test DictStackReCreate command"""
-
+    
     def test_init(self):
         """Test DictStackReCreate initialization"""
         nd = NotarizedDict(a=1, b=2)
         new_dict = {'c': 3, 'd': 4}
-
+        
         cmd = DictStackReCreate(nd, **new_dict)
-
+        
         assert cmd._old_value == {'a': 1, 'b': 2}
         assert cmd._new_value == new_dict
-
+        
     def test_undo_redo(self):
         """Test undo/redo operations"""
         nd = NotarizedDict(a=1, b=2)
         old_data = nd.data.copy()
         new_dict = {'c': 3, 'd': 4}
-
+        
         cmd = DictStackReCreate(nd, **new_dict)
-
+        
         cmd.undo()
         assert nd.data == old_data
-
+        
         cmd.redo()
         assert nd.data == new_dict
 
-
 class TestPropertyStackDecorator:
     """Test property_stack decorator"""
-
+    
     def test_decorator_without_args(self):
         """Test decorator applied without arguments"""
-
         @property_stack
         def test_func(obj, value):
             obj.value = value
-
+            
         assert hasattr(test_func, 'func')
-
+        
     def test_decorator_with_string_arg(self):
         """Test decorator applied with string argument"""
-
-        @property_stack('Custom text')
+        @property_stack("Custom text")
         def test_func(obj, value):
             obj.value = value
-
+            
         assert hasattr(test_func, 'func')
-
+           
     def test_decorator_no_change_no_push(self):
         """Test decorator doesn't push when value unchanged"""
-
         class TestObj:
             def __init__(self):
                 self.value = 10
-
+                
         @property_stack
         def value(obj, new_value):
             obj.value = new_value
-
+            
         obj = TestObj()
-
+        
         with patch('easyscience.global_object') as mock_global:
             mock_stack = MagicMock()
             mock_global.stack = mock_stack
-
+            
             value(obj, 10)  # Same value
-
+            
             # Should NOT have pushed anything since value didn't change
             mock_stack.push.assert_not_called()
 
-
 class TestDictStackDecorator:
     """Test dict_stack_deco decorator"""
-
+    
     def test_decorator_with_stack_disabled(self):
         """Test decorator when stack is disabled"""
         nd = NotarizedDict()
         nd._stack_enabled = False
-
+        
         @dict_stack_deco
         def test_func(obj, key, value):
             obj[key] = value
-
+            
         # Should call the function directly
         with patch('easyscience.global_object') as mock_global:
             mock_stack = MagicMock()
             mock_global.stack = mock_stack
             test_func(nd, 'key', 'value')
             mock_stack.push.assert_not_called()
-
+            
     def test_decorator_with_stack_enabled(self):
         """Test decorator when stack is enabled"""
         nd = NotarizedDict()
         nd._stack_enabled = True
-
+        
         @dict_stack_deco
         def test_func(obj, key, value):
             pass  # Don't actually modify
-
+            
         with patch('easyscience.global_object') as mock_global:
             mock_stack = MagicMock()
             mock_global.stack = mock_stack
-
+            
             test_func(nd, 'key', 'value')
-
+            
             # Should push a DictStack command
             mock_stack.push.assert_called_once()
             args = mock_stack.push.call_args[0]
-            assert isinstance(args[0], DictStack)
+            assert isinstance(args[0], DictStack)
\ No newline at end of file
diff --git a/tests/unit_tests/io/__init__.py b/tests/unit_tests/io/__init__.py
new file mode 100644
index 00000000..bb769856
--- /dev/null
+++ b/tests/unit_tests/io/__init__.py
@@ -0,0 +1,4 @@
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience>
+
diff --git a/tests/unit/io/test_serializer_base.py b/tests/unit_tests/io/test_serializer_base.py
similarity index 73%
rename from tests/unit/io/test_serializer_base.py
rename to tests/unit_tests/io/test_serializer_base.py
index c3c8dd21..728dd1b6 100644
--- a/tests/unit/io/test_serializer_base.py
+++ b/tests/unit_tests/io/test_serializer_base.py
@@ -1,67 +1,63 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2021-2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience
 import datetime
+import json
 from enum import Enum
-from typing import Any
-from typing import List
-from typing import Optional
-from unittest.mock import MagicMock
-from unittest.mock import Mock
-from unittest.mock import patch
+from unittest.mock import Mock, MagicMock, patch
+from typing import Any, List, Optional
 
 import numpy as np
 import pytest
 
-from easyscience import DescriptorNumber
-from easyscience import Parameter
-from easyscience import global_object
-from easyscience.base_classes import NewBase
+from easyscience import DescriptorNumber, Parameter, global_object
 from easyscience.io import SerializerBase
 from easyscience.io import SerializerComponent
-
+from easyscience.base_classes import NewBase
 
 class TestEnum(Enum):
-    TEST_VALUE = 'test'
+    TEST_VALUE = "test"
     ANOTHER_VALUE = 42
 
 
 class MockSerializerComponent(SerializerComponent):
     """Mock serializer component for testing"""
-
-    def __init__(
-        self, name: str = 'test', value: int = 1, optional_param: Optional[str] = None, **kwargs
-    ):
+    
+    def __init__(self, name: str = "test", value: int = 1, 
+                 optional_param: Optional[str] = None, **kwargs):
         self.name = name
         self.value = value
         self.optional_param = optional_param
         self._kwargs = kwargs
-        self.unique_name = f'mock_{name}'
+        self.unique_name = f"mock_{name}"
         self._global_object = True
 
 
 class MockSerializerWithRedirect(SerializerComponent):
     """Mock with _REDIRECT for testing redirect functionality"""
-
-    _REDIRECT = {'special_attr': lambda obj: obj.value * 2, 'none_attr': None}
-
-    def __init__(self, name: str = 'test', value: int = 1, special_attr: int = 5):
+    
+    _REDIRECT = {
+        'special_attr': lambda obj: obj.value * 2,
+        'none_attr': None
+    }
+    
+    def __init__(self, name: str = "test", value: int = 1, special_attr: int = 5):
         self.name = name
         self.value = value
         self.special_attr = special_attr
-        self.unique_name = f'redirect_{name}'
+        self.unique_name = f"redirect_{name}"
         self._global_object = True
 
 
 class MockSerializerWithConvertToDict(SerializerComponent):
     """Mock with custom _convert_to_dict method"""
-
-    def __init__(self, name: str = 'test', value: int = 1):
+    
+    def __init__(self, name: str = "test", value: int = 1):
         self.name = name
         self.value = value
-        self.unique_name = f'custom_{name}'
+        self.unique_name = f"custom_{name}"
         self._global_object = True
-
+    
     def _convert_to_dict(self, d, encoder, skip=None, **kwargs):
         d['custom_field'] = 'added_by_convert_to_dict'
         return d
@@ -69,16 +65,17 @@ def _convert_to_dict(self, d, encoder, skip=None, **kwargs):
 
 class ConcreteSerializer(SerializerBase):
     """Concrete implementation for testing abstract methods"""
-
+    
     def encode(self, obj: SerializerComponent, skip: Optional[List[str]] = None, **kwargs) -> Any:
         return self._convert_to_dict(obj, skip=skip, **kwargs)
-
+    
     @classmethod
     def decode(cls, obj: Any) -> Any:
         return cls._convert_from_dict(obj)
 
 
 class TestSerializerBase:
+    
     @pytest.fixture
     def clear(self):
         """Clear everything before and after each test"""
@@ -93,138 +90,150 @@ def clear(self):
     @pytest.fixture
     def serializer(self):
         return ConcreteSerializer()
-
+        
     @pytest.fixture
     def mock_obj(self):
-        return MockSerializerComponent('test_obj', 42, 'optional_value')
-
+        return MockSerializerComponent("test_obj", 42, "optional_value")
+    
     def test_abstract_methods_are_placeholders(self):
         """Test that SerializerBase can be instantiated but abstract methods just pass"""
         # SerializerBase can actually be instantiated (abstract methods just pass)
         base = SerializerBase()
-
+        
         # Abstract methods don't raise exceptions - they just pass/return None
         result = base.encode(Mock())
         assert result is None
-
+        
         result = SerializerBase.decode({})
         assert result is None
-
+    
     def test_get_arg_spec(self):
         """Test get_arg_spec static method"""
-
-        def example_func(self, arg1, arg2, arg3='default'):
+        def example_func(self, arg1, arg2, arg3="default"):
             pass
-
+            
         spec, args = SerializerBase.get_arg_spec(example_func)
-
+        
         assert args == ['arg1', 'arg2', 'arg3']
         assert hasattr(spec, 'args')
         assert hasattr(spec, 'defaults')
-
+    
     def test_encode_objs_datetime(self):
         """Test _encode_objs with datetime objects"""
         dt = datetime.datetime(2023, 10, 17, 14, 30, 45, 123456)
         result = SerializerBase._encode_objs(dt)
-
+        
         expected = {
             '@module': 'datetime',
-            '@class': 'datetime',
-            'string': '2023-10-17 14:30:45.123456',
+            '@class': 'datetime', 
+            'string': '2023-10-17 14:30:45.123456'
         }
         assert result == expected
-
+    
     def test_encode_objs_numpy_array_real(self):
         """Test _encode_objs with real numpy arrays"""
         arr = np.array([1, 2, 3], dtype=np.int32)
         result = SerializerBase._encode_objs(arr)
-
-        expected = {'@module': 'numpy', '@class': 'array', 'dtype': 'int32', 'data': [1, 2, 3]}
+        
+        expected = {
+            '@module': 'numpy',
+            '@class': 'array',
+            'dtype': 'int32',
+            'data': [1, 2, 3]
+        }
         assert result == expected
-
+    
     def test_encode_objs_numpy_array_complex(self):
         """Test _encode_objs with complex numpy arrays"""
-        arr = np.array([1 + 2j, 3 + 4j], dtype=np.complex128)
+        arr = np.array([1+2j, 3+4j], dtype=np.complex128)
         result = SerializerBase._encode_objs(arr)
-
+        
         expected = {
             '@module': 'numpy',
             '@class': 'array',
             'dtype': 'complex128',
-            'data': [[1.0, 3.0], [2.0, 4.0]],  # [real, imag]
+            'data': [[1.0, 3.0], [2.0, 4.0]]  # [real, imag]
         }
         assert result == expected
-
+    
     def test_encode_objs_numpy_scalar(self):
         """Test _encode_objs with numpy scalars"""
         scalar = np.int32(42)
         result = SerializerBase._encode_objs(scalar)
-
+        
         assert result == 42
         assert isinstance(result, int)
-
+    
     def test_encode_objs_json_serializable(self):
         """Test _encode_objs with JSON serializable objects"""
         # Should return the object unchanged if it's JSON serializable
-        data = {'key': 'value', 'number': 42}
+        data = {"key": "value", "number": 42}
         result = SerializerBase._encode_objs(data)
         assert result == data
-
+    
     def test_encode_objs_non_serializable(self):
         """Test _encode_objs with non-serializable objects"""
-
         class NonSerializable:
             def __init__(self):
-                self.value = 'test'
-
+                self.value = "test"
+        
         obj = NonSerializable()
         result = SerializerBase._encode_objs(obj)
         # Should return the object unchanged if not serializable
         assert result is obj
-
+    
     def test_convert_from_dict_datetime(self):
         """Test _convert_from_dict with datetime objects"""
         dt_dict = {
             '@module': 'datetime',
             '@class': 'datetime',
-            'string': '2023-10-17 14:30:45.123456',
+            'string': '2023-10-17 14:30:45.123456'
         }
-
+        
         result = SerializerBase._convert_from_dict(dt_dict)
         expected = datetime.datetime(2023, 10, 17, 14, 30, 45, 123456)
         assert result == expected
-
+    
     def test_convert_from_dict_datetime_no_microseconds(self):
         """Test _convert_from_dict with datetime without microseconds"""
-        dt_dict = {'@module': 'datetime', '@class': 'datetime', 'string': '2023-10-17 14:30:45'}
-
+        dt_dict = {
+            '@module': 'datetime',
+            '@class': 'datetime',
+            'string': '2023-10-17 14:30:45'
+        }
+        
         result = SerializerBase._convert_from_dict(dt_dict)
         expected = datetime.datetime(2023, 10, 17, 14, 30, 45)
         assert result == expected
-
+    
     def test_convert_from_dict_numpy_array_real(self):
         """Test _convert_from_dict with real numpy arrays"""
-        arr_dict = {'@module': 'numpy', '@class': 'array', 'dtype': 'int32', 'data': [1, 2, 3]}
-
+        arr_dict = {
+            '@module': 'numpy',
+            '@class': 'array',
+            'dtype': 'int32',
+            'data': [1, 2, 3]
+        }
+        
         result = SerializerBase._convert_from_dict(arr_dict)
         expected = np.array([1, 2, 3], dtype=np.int32)
         np.testing.assert_array_equal(result, expected)
         assert result.dtype == expected.dtype
-
+    
     def test_convert_from_dict_numpy_array_complex(self):
         """Test _convert_from_dict with complex numpy arrays"""
         arr_dict = {
             '@module': 'numpy',
             '@class': 'array',
             'dtype': 'complex128',
-            'data': [[1.0, 3.0], [2.0, 4.0]],
+            'data': [[1.0, 3.0], [2.0, 4.0]]
         }
-
+        
         result = SerializerBase._convert_from_dict(arr_dict)
-        expected = np.array([1 + 2j, 3 + 4j], dtype=np.complex128)
+        expected = np.array([1+2j, 3+4j], dtype=np.complex128)
         np.testing.assert_array_equal(result, expected)
         assert result.dtype == expected.dtype
-
+    
     def test_convert_from_dict_easyscience_object(self, clear):
         """Test _convert_from_dict with EasyScience objects"""
         param_dict = {
@@ -240,40 +249,40 @@ def test_convert_from_dict_easyscience_object(self, clear):
             'fixed': False,
             'url': '',
             'description': '',
-            'display_name': 'test_param',
+            'display_name': 'test_param'
         }
-
+        
         result = SerializerBase._convert_from_dict(param_dict)
         assert isinstance(result, Parameter)
         assert result.name == 'test_param'
         assert result.value == 5.0
         assert str(result.unit) == 'm'
-
+    
     def test_convert_from_dict_list(self):
         """Test _convert_from_dict with lists"""
         data = [
             {'@module': 'datetime', '@class': 'datetime', 'string': '2023-10-17 14:30:45'},
             {'key': 'value'},
-            42,
+            42
         ]
-
+        
         result = SerializerBase._convert_from_dict(data)
         assert isinstance(result, list)
         assert len(result) == 3
         assert isinstance(result[0], datetime.datetime)
         assert result[1] == {'key': 'value'}
         assert result[2] == 42
-
+    
     def test_convert_from_dict_regular_dict(self):
         """Test _convert_from_dict with regular dictionaries"""
         data = {'key': 'value', 'number': 42}
         result = SerializerBase._convert_from_dict(data)
         assert result == data
-
+    
     def test_convert_to_dict_basic(self, serializer, mock_obj, clear):
         """Test _convert_to_dict with basic object"""
         result = serializer._convert_to_dict(mock_obj)
-
+        
         assert '@module' in result
         assert '@class' in result
         assert '@version' in result
@@ -285,42 +294,42 @@ def test_convert_to_dict_basic(self, serializer, mock_obj, clear):
     def test_convert_to_dict_with_skip(self, serializer, mock_obj, clear):
         """Test _convert_to_dict with skip parameter"""
         result = serializer._convert_to_dict(mock_obj, skip=['value', 'optional_param'])
-
+        
         assert 'name' in result
         assert 'value' not in result
         assert 'optional_param' not in result
 
     def test_convert_to_dict_with_redirect(self, serializer, clear):
         """Test _convert_to_dict with _REDIRECT"""
-        obj = MockSerializerWithRedirect('redirect_test', 10)
+        obj = MockSerializerWithRedirect("redirect_test", 10)
         result = serializer._convert_to_dict(obj)
-
+        
         assert result['special_attr'] == 20  # 10 * 2 from redirect
         assert 'none_attr' not in result  # Should be skipped due to None redirect
 
     def test_convert_to_dict_with_custom_convert_to_dict(self, serializer, clear):
         """Test _convert_to_dict with custom _convert_to_dict method"""
-        obj = MockSerializerWithConvertToDict('custom_test', 5)
+        obj = MockSerializerWithConvertToDict("custom_test", 5)
         result = serializer._convert_to_dict(obj)
-
+        
         assert result['custom_field'] == 'added_by_convert_to_dict'
         assert result['name'] == 'custom_test'
         assert result['value'] == 5
 
     def test_convert_to_dict_with_enum_object(self, serializer, clear):
         """Test _convert_to_dict when the object itself is an enum"""
-
+        
         # Test that enum values in objects remain as enums without full_encode
         class MockObjWithEnum(SerializerComponent):
             def __init__(self, name: str, enum_val: TestEnum):
                 self.name = name
                 self.enum_val = enum_val
-                self.unique_name = f'obj_{name}'
+                self.unique_name = f"obj_{name}"
                 self._global_object = True
-
-        obj = MockObjWithEnum('test', TestEnum.TEST_VALUE)
+        
+        obj = MockObjWithEnum("test", TestEnum.TEST_VALUE)
         result = serializer._convert_to_dict(obj)
-
+        
         # The enum field should remain as an enum object (not encoded as dict)
         assert isinstance(result['enum_val'], TestEnum)
         assert result['enum_val'] == TestEnum.TEST_VALUE
@@ -328,87 +337,87 @@ def __init__(self, name: str, enum_val: TestEnum):
     def test_convert_to_dict_full_encode(self, serializer, clear):
         """Test _convert_to_dict with full_encode=True"""
         dt = datetime.datetime(2023, 10, 17, 14, 30, 45)
-
+        
         class MockObjWithDateTime(SerializerComponent):
             def __init__(self, name: str, dt: datetime.datetime):
                 self.name = name
                 self.dt = dt
-                self.unique_name = f'dt_{name}'
+                self.unique_name = f"dt_{name}"
                 self._global_object = True
-
-        obj = MockObjWithDateTime('test', dt)
+        
+        obj = MockObjWithDateTime("test", dt)
         result = serializer._convert_to_dict(obj, full_encode=True)
-
+        
         assert isinstance(result['dt'], dict)
         assert result['dt']['@module'] == 'datetime'
         assert result['dt']['@class'] == 'datetime'
 
     def test_convert_to_dict_without_global_object(self, serializer):
         """Test _convert_to_dict with object without _global_object"""
-
+        
         class MockObjNoGlobal(SerializerComponent):
             def __init__(self, name: str):
                 self.name = name
-
-        obj = MockObjNoGlobal('test')
+        
+        obj = MockObjNoGlobal("test")
         result = serializer._convert_to_dict(obj)
-
+        
         assert result['name'] == 'test'
         assert 'unique_name' not in result
 
     def test_convert_to_dict_with_arg_spec(self, serializer, clear):
         """Test _convert_to_dict with custom _arg_spec"""
-
+        
         class MockObjCustomArgSpec(SerializerComponent):
-            def __init__(self, name: str, value: int, extra: str = 'default'):
+            def __init__(self, name: str, value: int, extra: str = "default"):
                 self.name = name
                 self.value = value
                 self.extra = extra
                 self._arg_spec = ['name', 'value']  # Skip 'extra'
-                self.unique_name = f'custom_spec_{name}'
+                self.unique_name = f"custom_spec_{name}"
                 self._global_object = True
-
-        obj = MockObjCustomArgSpec('test', 42, 'not_default')
+        
+        obj = MockObjCustomArgSpec("test", 42, "not_default")
         result = serializer._convert_to_dict(obj)
-
+        
         assert 'name' in result
         assert 'value' in result
         assert 'extra' not in result
 
     def test_recursive_encoder_with_lists(self, serializer, clear):
         """Test _recursive_encoder with lists"""
-        mock_obj = MockSerializerComponent('list_test', 1)
-        data = [mock_obj, 'string', 42, {'key': 'value'}]
-
+        mock_obj = MockSerializerComponent("list_test", 1)
+        data = [mock_obj, "string", 42, {"key": "value"}]
+        
         result = serializer._recursive_encoder(data)
-
+        
         assert isinstance(result, list)
         assert len(result) == 4
         assert isinstance(result[0], dict)  # Encoded mock object
         assert result[0]['name'] == 'list_test'
-        assert result[1] == 'string'
+        assert result[1] == "string"
         assert result[2] == 42
-        assert result[3] == {'key': 'value'}
+        assert result[3] == {"key": "value"}
 
     def test_recursive_encoder_with_dicts(self, serializer, clear):
         """Test _recursive_encoder with dictionaries"""
-        mock_obj = MockSerializerComponent('dict_test', 2)
-        data = {'obj': mock_obj, 'simple': 'value'}
-
+        mock_obj = MockSerializerComponent("dict_test", 2)
+        data = {"obj": mock_obj, "simple": "value"}
+        
         result = serializer._recursive_encoder(data)
-
+        
         assert isinstance(result, dict)
         assert isinstance(result['obj'], dict)  # Encoded mock object
         assert result['obj']['name'] == 'dict_test'
-        assert result['simple'] == 'value'
+        assert result['simple'] == "value"
 
     def test_recursive_encoder_with_tuples(self, serializer, clear):
         """Test _recursive_encoder with tuples"""
-        mock_obj = MockSerializerComponent('tuple_test', 3)
-        data = (mock_obj, 'string', 42)
-
+        mock_obj = MockSerializerComponent("tuple_test", 3)
+        data = (mock_obj, "string", 42)
+        
         result = serializer._recursive_encoder(data)
-
+        
         assert isinstance(result, list)  # Tuples become lists
         assert len(result) == 3
         assert isinstance(result[0], dict)  # Encoded mock object
@@ -417,22 +426,22 @@ def test_recursive_encoder_with_tuples(self, serializer, clear):
     def test_recursive_encoder_builtin_encode_method(self, serializer):
         """Test _recursive_encoder doesn't encode builtin objects with encode method"""
         # Strings have an encode method but are builtin
-        data = ['test_string', b'bytes']
-
+        data = ["test_string", b"bytes"]
+        
         result = serializer._recursive_encoder(data)
-
-        assert result == ['test_string', b'bytes']
+        
+        assert result == ["test_string", b"bytes"]
 
     def test_recursive_encoder_with_mutable_sequence(self, serializer, clear):
         """Test _recursive_encoder with MutableSequence objects"""
         from easyscience.base_classes import CollectionBase
-
-        d0 = DescriptorNumber('a', 0)  # type: ignore
-        d1 = DescriptorNumber('b', 1)  # type: ignore
-        collection = CollectionBase('test_collection', d0, d1)
-
+        
+        d0 = DescriptorNumber("a", 0)  # type: ignore
+        d1 = DescriptorNumber("b", 1)  # type: ignore
+        collection = CollectionBase("test_collection", d0, d1)
+        
         result = serializer._recursive_encoder(collection)
-
+        
         assert isinstance(result, dict)
         assert result['@class'] == 'CollectionBase'
         assert 'data' in result
@@ -443,77 +452,77 @@ def test_convert_to_dict_no_version(self, mock_import, serializer, clear):
         mock_module = Mock()
         del mock_module.__version__  # Remove version attribute
         mock_import.return_value = mock_module
-
-        mock_obj = MockSerializerComponent('no_version', 1)
+        
+        mock_obj = MockSerializerComponent("no_version", 1)
         result = serializer._convert_to_dict(mock_obj)
-
+        
         assert result['@version'] is None
 
     @patch('easyscience.io.serializer_base.import_module')
     def test_convert_to_dict_import_error(self, mock_import, serializer, clear):
         """Test _convert_to_dict when import_module raises ImportError"""
-        mock_import.side_effect = ImportError('Module not found')
-
-        mock_obj = MockSerializerComponent('import_error', 1)
+        mock_import.side_effect = ImportError("Module not found")
+        
+        mock_obj = MockSerializerComponent("import_error", 1)
         result = serializer._convert_to_dict(mock_obj)
-
+        
         assert result['@version'] is None
 
     def test_convert_to_dict_attribute_error_handling(self, serializer, clear):
         """Test _convert_to_dict handles AttributeError for missing attributes"""
-
+        
         class MockObjMissingAttrs(SerializerComponent):
-            def __init__(self, name: str, missing_param: str = 'default'):
+            def __init__(self, name: str, missing_param: str = "default"):
                 self.name = name
-                self.unique_name = f'missing_{name}'
+                self.unique_name = f"missing_{name}"
                 self._global_object = True
                 # Don't set missing_param attribute to trigger AttributeError
-
-        obj = MockObjMissingAttrs('test')
-
-        with pytest.raises(NotImplementedError, match='Unable to automatically determine as_dict'):
+        
+        obj = MockObjMissingAttrs("test")
+        
+        with pytest.raises(NotImplementedError, match="Unable to automatically determine as_dict"):
             serializer._convert_to_dict(obj)
 
     def test_convert_to_dict_with_kwargs_attribute(self, serializer, clear):
         """Test _convert_to_dict with _kwargs attribute handling"""
-
+        
         class MockObjWithKwargs(SerializerComponent):
             def __init__(self, name: str, value: int):
                 self.name = name
                 self.value = value
-                self.unique_name = f'kwargs_{name}'
+                self.unique_name = f"kwargs_{name}"
                 self._global_object = True
                 # Set up _kwargs to test the kwargs handling path
                 self._kwargs = {'extra_param': 'extra_value'}
-
-        obj = MockObjWithKwargs('test', 42)
+        
+        obj = MockObjWithKwargs("test", 42)
         result = serializer._convert_to_dict(obj)
-
+        
         # The extra_param from _kwargs should be included
         assert result['extra_param'] == 'extra_value'
 
     def test_convert_to_dict_varargs_handling(self, serializer, clear):
         """Test _convert_to_dict with varargs (*args) handling"""
-
+        
         class MockObjWithVarargs(SerializerComponent):
             def __init__(self, name: str, *args):
                 self.name = name
                 self.args = args
-                self.unique_name = f'varargs_{name}'
+                self.unique_name = f"varargs_{name}"
                 self._global_object = True
-
-        obj = MockObjWithVarargs('test', 'arg1', 'arg2', 'arg3')
+        
+        obj = MockObjWithVarargs("test", "arg1", "arg2", "arg3")
         result = serializer._convert_to_dict(obj)
-
+        
         assert result['name'] == 'test'
         if 'args' in result:
-            assert result['args'] == ('arg1', 'arg2', 'arg3')
+            assert result['args'] == ("arg1", "arg2", "arg3")
 
     def test_encode_objs_edge_cases(self):
         """Test _encode_objs with edge cases"""
         # Test with None
         assert SerializerBase._encode_objs(None) is None
-
+        
         # Test with empty numpy array
         empty_arr = np.array([])
         result = SerializerBase._encode_objs(empty_arr)
@@ -524,29 +533,33 @@ def test_convert_from_dict_edge_cases(self):
         """Test _convert_from_dict with edge cases"""
         # Test with None
         assert SerializerBase._convert_from_dict(None) is None
-
+        
         # Test with empty dict
         assert SerializerBase._convert_from_dict({}) == {}
-
+        
         # Test with empty list
         assert SerializerBase._convert_from_dict([]) == []
-
+        
         # Test with bson.objectid (should not be processed)
-        bson_dict = {'@module': 'bson.objectid', '@class': 'ObjectId', 'value': 'some_id'}
+        bson_dict = {
+            '@module': 'bson.objectid',
+            '@class': 'ObjectId',
+            'value': 'some_id'
+        }
         result = SerializerBase._convert_from_dict(bson_dict)
         assert result == bson_dict
 
     def test_concrete_serializer_implementation(self, clear):
         """Test that ConcreteSerializer works correctly"""
         serializer = ConcreteSerializer()
-        mock_obj = MockSerializerComponent('concrete_test', 100)
-
+        mock_obj = MockSerializerComponent("concrete_test", 100)
+        
         # Test encode
         encoded = serializer.encode(mock_obj)
         assert isinstance(encoded, dict)
         assert encoded['name'] == 'concrete_test'
         assert encoded['value'] == 100
-
+        
         # Test decode
         global_object.map._clear()  # Clear before decode
         decoded = ConcreteSerializer.decode(encoded)
@@ -556,16 +569,15 @@ def test_concrete_serializer_implementation(self, clear):
 
     def test_get_arg_spec_with_complex_function(self):
         """Test get_arg_spec with more complex function signatures"""
-
-        def complex_func(self, required_arg, optional_arg='default', *args, **kwargs):
+        def complex_func(self, required_arg, optional_arg="default", *args, **kwargs):
             pass
-
+        
         spec, args = SerializerBase.get_arg_spec(complex_func)
-
+        
         assert args == ['required_arg', 'optional_arg']
         assert spec.varargs == 'args'
         assert spec.varkw == 'kwargs'
-        assert spec.defaults == ('default',)
+        assert spec.defaults == ("default",)
 
     @patch('easyscience.io.serializer_base.np', None)
     def test_encode_objs_without_numpy(self):
@@ -573,60 +585,64 @@ def test_encode_objs_without_numpy(self):
         # This test patches np to None to simulate numpy not being installed
         dt = datetime.datetime(2023, 10, 17, 14, 30, 45)
         result = SerializerBase._encode_objs(dt)
-
-        expected = {'@module': 'datetime', '@class': 'datetime', 'string': '2023-10-17 14:30:45'}
+        
+        expected = {
+            '@module': 'datetime',
+            '@class': 'datetime',
+            'string': '2023-10-17 14:30:45'
+        }
         assert result == expected
 
     def test_recursive_encoder_with_nested_structures(self, serializer, clear):
         """Test _recursive_encoder with deeply nested structures"""
-        mock_obj = MockSerializerComponent('nested', 1)
-
-        data = {'level1': {'level2': [mock_obj, {'level3': mock_obj}]}}
-
+        mock_obj = MockSerializerComponent("nested", 1)
+        
+        data = {
+            "level1": {
+                "level2": [mock_obj, {"level3": mock_obj}]
+            }
+        }
+        
         result = serializer._recursive_encoder(data)
-
+        
         assert isinstance(result, dict)
-        assert isinstance(result['level1'], dict)
-        assert isinstance(result['level1']['level2'], list)
-        assert isinstance(result['level1']['level2'][0], dict)  # Encoded object
-        assert result['level1']['level2'][0]['name'] == 'nested'
-        assert isinstance(result['level1']['level2'][1]['level3'], dict)  # Encoded object
+        assert isinstance(result["level1"], dict)
+        assert isinstance(result["level1"]["level2"], list)
+        assert isinstance(result["level1"]["level2"][0], dict)  # Encoded object
+        assert result["level1"]["level2"][0]["name"] == "nested"
+        assert isinstance(result["level1"]["level2"][1]["level3"], dict)  # Encoded object
 
     def test_import_class(self):
         # When Then
-        cls = SerializerBase._import_class(module_name='easyscience', class_name='Parameter')
+        cls = SerializerBase._import_class(module_name="easyscience", class_name="Parameter")
         # Expect
         assert cls is Parameter
 
     def test_import_class_missing_module(self):
         # When Then Expect
         with pytest.raises(ImportError):
-            SerializerBase._import_class(module_name='non_existent_module', class_name='Parameter')
+            SerializerBase._import_class(module_name="non_existent_module", class_name="Parameter")
 
     def test_import_class_missing_class(self):
         # When Then Expect
         with pytest.raises(ValueError):
-            SerializerBase._import_class(module_name='easyscience', class_name='NonExistentClass')
-
-    @pytest.mark.parametrize(
-        'dict, expected',
-        [
-            (
-                {'@module': 'easyscience', '@class': 'Parameter', 'name': 'param1', 'value': 10.0},
-                True,
-            ),
-            (
-                {
-                    '@module': 'numpy',
-                    '@class': 'array',
-                    'unique_name': 'unique1',
-                    'display_name': 'Display 1',
-                },
-                False,
-            ),
-        ],
-        ids=['valid_easyscience_dict', 'invalid_numpy_dict'],
-    )
+            SerializerBase._import_class(module_name="easyscience", class_name="NonExistentClass")
+
+    @pytest.mark.parametrize("dict, expected", [
+        ({  '@module': 'easyscience',
+            '@class': 'Parameter',
+            'name': 'param1',
+            'value': 10.0
+        }, 
+        True
+        ),
+        ({
+            '@module': 'numpy',
+            '@class': 'array',
+            'unique_name': 'unique1',
+            'display_name': 'Display 1'
+        }, False
+        )], ids=['valid_easyscience_dict', 'invalid_numpy_dict'])
     def test_is_serialized_easyscience_object_false(self, dict, expected):
         # When Then
         result = SerializerBase._is_serialized_easyscience_object(dict)
@@ -635,20 +651,25 @@ def test_is_serialized_easyscience_object_false(self, dict, expected):
 
     def test_deserialize_value_non_easyscience(self):
         # When
-        serialized_dict = {'@module': 'numpy', '@class': 'array', 'dtype': 'int64', 'data': [0, 1]}
+        serialized_dict = {
+            '@module': 'numpy', 
+            '@class': 'array', 
+            'dtype': 'int64', 
+            'data': [0, 1]
+            }
         # Then
         obj = SerializerBase._deserialize_value(serialized_dict)
         # Expect
-        assert isinstance(obj, np.ndarray)
+        assert isinstance(obj,  np.ndarray)
         assert obj.dtype == np.int64
 
     def test_deserialize_value_easyscience_uses_from_dict(self, monkeypatch):
         # When
         serialized_dict = {
-            '@module': 'easyscience.base_classes',
-            '@class': 'NewBase',
-            'display_name': 'test',
-        }
+            '@module': 'easyscience.base_classes', 
+            '@class': 'NewBase', 
+            'display_name': 'test', 
+            }
         monkeypatch.setattr(NewBase, 'from_dict', MagicMock())
         # Then
         obj = SerializerBase._deserialize_value(serialized_dict)
@@ -658,10 +679,10 @@ def test_deserialize_value_easyscience_uses_from_dict(self, monkeypatch):
     def test_deserialize_value_easyscience_no_from_dict(self, monkeypatch):
         # When
         serialized_dict = {
-            '@module': 'easyscience.base_classes',
-            '@class': 'NewBase',
-            'display_name': 'test',
-        }
+            '@module': 'easyscience.base_classes', 
+            '@class': 'NewBase', 
+            'display_name': 'test', 
+            }
         monkeypatch.delattr(NewBase, 'from_dict')
         monkeypatch.setattr(SerializerBase, '_convert_from_dict', MagicMock())
         # Then
@@ -672,40 +693,39 @@ def test_deserialize_value_easyscience_no_from_dict(self, monkeypatch):
     def test_deserialize_value_easyscience_import_error(self, monkeypatch):
         # When
         serialized_dict = {
-            '@module': 'easyscience.base_classes',
-            '@class': 'NewBase',
-            'display_name': 'test',
-        }
+            '@module': 'easyscience.base_classes', 
+            '@class': 'NewBase', 
+            'display_name': 'test', 
+            }
         monkeypatch.setattr(SerializerBase, '_import_class', MagicMock(side_effect=ImportError()))
         monkeypatch.setattr(SerializerBase, '_convert_from_dict', MagicMock())
         # Then
         obj = SerializerBase._deserialize_value(serialized_dict)
         # Expect
         SerializerBase._convert_from_dict.assert_called_once_with(serialized_dict)
-
+        
     def test_deserialize_dict(self, monkeypatch):
         # When
         serialized_dict = {
-            '@module': 'easyscience',
+            '@module': 'easyscience', 
             '@class': 'ParameterContainer',
             'param1': {
                 '@module': 'easyscience',
                 '@class': 'Parameter',
                 'name': 'param1',
-                'value': 10.0,
+                'value': 10.0
             },
-            'array1': {'@module': 'numpy', '@class': 'array', 'dtype': 'int64', 'data': [0, 1]},
+            'array1': {
+                '@module': 'numpy', 
+                '@class': 'array', 
+                'dtype': 'int64', 
+                'data': [0, 1]
+            }
         }
-        monkeypatch.setattr(
-            SerializerBase,
-            '_deserialize_value',
-            MagicMock(
-                side_effect=[
-                    Parameter(name='param1', value=10.0),
-                    np.array([0, 1], dtype=np.int64),
-                ]
-            ),
-        )
+        monkeypatch.setattr(SerializerBase, '_deserialize_value', MagicMock(side_effect=[
+            Parameter(name='param1', value=10.0),
+            np.array([0, 1], dtype=np.int64)
+        ]))
         # Then
         result = SerializerBase.deserialize_dict(serialized_dict)
         # Expect
@@ -713,4 +733,4 @@ def test_deserialize_dict(self, monkeypatch):
         SerializerBase._deserialize_value.assert_any_call(serialized_dict['array1'])
         assert isinstance(result['param1'], Parameter)
         assert isinstance(result['array1'], np.ndarray)
-        assert result['array1'].dtype == np.int64
+        assert result['array1'].dtype == np.int64
\ No newline at end of file
diff --git a/tests/unit_tests/io/test_serializer_component.py b/tests/unit_tests/io/test_serializer_component.py
new file mode 100644
index 00000000..80994b4d
--- /dev/null
+++ b/tests/unit_tests/io/test_serializer_component.py
@@ -0,0 +1,97 @@
+
+import numpy as np
+from copy import deepcopy
+from typing import Type
+
+import pytest
+
+import easyscience
+from easyscience import DescriptorNumber
+from easyscience import Parameter
+
+dp_param_dict = {
+    "argnames": "dp_kwargs, dp_cls",
+    "argvalues": (
+        [
+            {
+                "@module": DescriptorNumber.__module__,
+                "@class": DescriptorNumber.__name__,
+                "@version": easyscience.__version__,
+                "name": "test",
+                "value": 1.0,
+                "variance": None,
+                "unit": "dimensionless",
+                "description": "",
+                "url": "",
+                "display_name": "test",
+            },
+            DescriptorNumber,
+        ],
+        [
+            {
+                "@module": Parameter.__module__,
+                "@class": Parameter.__name__,
+                "@version": easyscience.__version__,
+                "name": "test",
+                "unit": "km",
+                "value": 1.0,
+                "variance": 0.0,
+                "min": -np.inf,
+                "max": np.inf,
+                "fixed": False,
+                "url": "https://www.boo.com",
+                "description": "",
+                "display_name": "test",
+            },
+            Parameter,
+        ],
+    ),
+    "ids": ["DescriptorNumber", "Parameter"],
+}
+
+_skip_opt = [[], None] + [
+    k for k in dp_param_dict["argvalues"][0][0].keys() if k[0] != "@"
+]
+skip_dict = {
+    "argnames": "skip",
+    "argvalues": _skip_opt,
+    "ids": ["skip_" + str(opt) for opt in _skip_opt],
+}
+
+
+def check_dict(check, item):
+    if isinstance(check, dict) and isinstance(item, dict):
+        for key in check.keys():
+            assert key in item.keys()
+            check_dict(check[key], item[key])
+    else:
+        assert isinstance(item, type(check))
+        assert item == check
+
+
+@pytest.mark.parametrize(**skip_dict)
+@pytest.mark.parametrize(**dp_param_dict)
+def test_variable_as_dict_methods(dp_kwargs: dict, dp_cls: Type[DescriptorNumber], skip):
+    data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
+
+    obj = dp_cls(**data_dict)
+
+    dp_kwargs = deepcopy(dp_kwargs)
+
+    if isinstance(skip, str):
+        del dp_kwargs[skip]
+
+    if not isinstance(skip, list):
+        skip = [skip]
+
+    enc = obj.as_dict(skip=skip)
+
+    expected_keys = set(dp_kwargs.keys())
+    obtained_keys = set(enc.keys())
+
+    dif = expected_keys.difference(obtained_keys)
+
+    assert len(dif) == 0
+
+    check_dict(dp_kwargs, enc)
+
diff --git a/tests/unit/io/test_serializer_dict.py b/tests/unit_tests/io/test_serializer_dict.py
similarity index 79%
rename from tests/unit/io/test_serializer_dict.py
rename to tests/unit_tests/io/test_serializer_dict.py
index 1ddf21ef..7d75f02d 100644
--- a/tests/unit/io/test_serializer_dict.py
+++ b/tests/unit_tests/io/test_serializer_dict.py
@@ -1,19 +1,17 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
 
 from copy import deepcopy
 from typing import Type
 
 import pytest
 
+from easyscience.io.serializer_dict import SerializerDict
 from easyscience import DescriptorNumber
 from easyscience import ObjBase
-from easyscience import global_object
-from easyscience.io.serializer_dict import SerializerDict
 
 from .test_serializer_component import check_dict
 from .test_serializer_component import dp_param_dict
 from .test_serializer_component import skip_dict
+from easyscience import global_object
 
 
 def recursive_remove(d, remove_keys: list) -> dict:
@@ -38,7 +36,7 @@ def recursive_remove(d, remove_keys: list) -> dict:
 @pytest.mark.parametrize(**skip_dict)
 @pytest.mark.parametrize(**dp_param_dict)
 def test_variable_SerializerDict(dp_kwargs: dict, dp_cls: Type[DescriptorNumber], skip):
-    data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != '@'}
+    data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
 
     obj = dp_cls(**data_dict)
 
@@ -61,13 +59,12 @@ def test_variable_SerializerDict(dp_kwargs: dict, dp_cls: Type[DescriptorNumber]
 
     check_dict(dp_kwargs, enc)
 
-
 ########################################################################################################################
 # TESTING DECODING
 ########################################################################################################################
 @pytest.mark.parametrize(**dp_param_dict)
 def test_variable_SerializerDict_decode(dp_kwargs: dict, dp_cls: Type[DescriptorNumber]):
-    data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != '@'}
+    data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
 
     obj = dp_cls(**data_dict)
 
@@ -79,12 +76,12 @@ def test_variable_SerializerDict_decode(dp_kwargs: dict, dp_cls: Type[Descriptor
         if hasattr(obj, k) and hasattr(dec, k):
             assert getattr(obj, k) == getattr(dec, k)
         else:
-            raise AttributeError(f'{k} not found in decoded object')
+            raise AttributeError(f"{k} not found in decoded object")
 
 
 @pytest.mark.parametrize(**dp_param_dict)
 def test_variable_SerializerDict_from_dict(dp_kwargs: dict, dp_cls: Type[DescriptorNumber]):
-    data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != '@'}
+    data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
 
     obj = dp_cls(**data_dict)
 
@@ -96,26 +93,25 @@ def test_variable_SerializerDict_from_dict(dp_kwargs: dict, dp_cls: Type[Descrip
         if hasattr(obj, k) and hasattr(dec, k):
             assert getattr(obj, k) == getattr(dec, k)
         else:
-            raise AttributeError(f'{k} not found in decoded object')
-
+            raise AttributeError(f"{k} not found in decoded object")
 
 def test_group_encode():
-    d0 = DescriptorNumber('a', 0)
-    d1 = DescriptorNumber('b', 1)
+    d0 = DescriptorNumber("a", 0)
+    d1 = DescriptorNumber("b", 1)
 
     from easyscience.base_classes import CollectionBase
 
-    b = CollectionBase('test', d0, d1)
+    b = CollectionBase("test", d0, d1)
     d = b.as_dict()
-    assert isinstance(d['data'], list)
+    assert isinstance(d["data"], list)
 
 
 def test_group_encode2():
-    d0 = DescriptorNumber('a', 0)
-    d1 = DescriptorNumber('b', 1)
+    d0 = DescriptorNumber("a", 0)
+    d1 = DescriptorNumber("b", 1)
 
     from easyscience.base_classes import CollectionBase
 
-    b = ObjBase('outer', b=CollectionBase('test', d0, d1))
+    b = ObjBase("outer", b=CollectionBase("test", d0, d1))
     d = b.as_dict()
-    assert isinstance(d['b'], dict)
+    assert isinstance(d["b"], dict)
\ No newline at end of file
diff --git a/tests/unit_tests/legacy/test_dict.py b/tests/unit_tests/legacy/test_dict.py
new file mode 100644
index 00000000..70af9d78
--- /dev/null
+++ b/tests/unit_tests/legacy/test_dict.py
@@ -0,0 +1,156 @@
+
+# from copy import deepcopy
+# from typing import Type
+
+# import pytest
+
+# from easyscience.io.dict import DataDictSerializer
+# from easyscience.io.dict import DictSerializer
+# from easyscience.variable import DescriptorNumber
+# from easyscience.base_classes import BaseObj
+
+# from .test_core import check_dict
+# from .test_core import dp_param_dict
+# from .test_core import skip_dict
+# from easyscience import global_object
+
+
+# def recursive_remove(d, remove_keys: list) -> dict:
+#     """
+#     Remove keys from a dictionary.
+#     """
+#     if not isinstance(remove_keys, list):
+#         remove_keys = [remove_keys]
+#     if isinstance(d, dict):
+#         dd = {}
+#         for k in d.keys():
+#             if k not in remove_keys:
+#                 dd[k] = recursive_remove(d[k], remove_keys)
+#         return dd
+#     else:
+#         return d
+
+
+# ########################################################################################################################
+# # TESTING ENCODING
+# ########################################################################################################################
+# @pytest.mark.parametrize(**skip_dict)
+# @pytest.mark.parametrize(**dp_param_dict)
+# def test_variable_DictSerializer(dp_kwargs: dict, dp_cls: Type[DescriptorNumber], skip):
+#     data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
+
+#     obj = dp_cls(**data_dict)
+
+#     dp_kwargs = deepcopy(dp_kwargs)
+
+#     if isinstance(skip, str):
+#         del dp_kwargs[skip]
+
+#     if not isinstance(skip, list):
+#         skip = [skip]
+
+#     enc = obj.encode(skip=skip, encoder=DictSerializer)
+
+#     expected_keys = set(dp_kwargs.keys())
+#     obtained_keys = set(enc.keys())
+
+#     dif = expected_keys.difference(obtained_keys)
+
+#     assert len(dif) == 0
+
+#     check_dict(dp_kwargs, enc)
+
+
+# @pytest.mark.parametrize(**skip_dict)
+# @pytest.mark.parametrize(**dp_param_dict)
+# def test_variable_DataDictSerializer(dp_kwargs: dict, dp_cls: Type[DescriptorNumber], skip):
+#     data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
+
+#     obj = dp_cls(**data_dict)
+
+#     if isinstance(skip, str):
+#         del data_dict[skip]
+
+#     if not isinstance(skip, list):
+#         skip = [skip]
+
+#     enc_d = obj.encode(skip=skip, encoder=DataDictSerializer)
+
+#     expected_keys = set(data_dict.keys())
+#     obtained_keys = set(enc_d.keys())
+
+#     dif = expected_keys.difference(obtained_keys)
+
+#     assert len(dif) == 0
+
+#     check_dict(data_dict, enc_d)
+
+
+# ########################################################################################################################
+# # TESTING DECODING
+# ########################################################################################################################
+# @pytest.mark.parametrize(**dp_param_dict)
+# def test_variable_DictSerializer_decode(dp_kwargs: dict, dp_cls: Type[DescriptorNumber]):
+#     data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
+
+#     obj = dp_cls(**data_dict)
+
+#     enc = obj.encode(encoder=DictSerializer)
+#     global_object.map._clear()
+#     dec = dp_cls.decode(enc, decoder=DictSerializer)
+
+#     for k in data_dict.keys():
+#         if hasattr(obj, k) and hasattr(dec, k):
+#             assert getattr(obj, k) == getattr(dec, k)
+#         else:
+#             raise AttributeError(f"{k} not found in decoded object")
+
+
+# @pytest.mark.parametrize(**dp_param_dict)
+# def test_variable_DictSerializer_from_dict(dp_kwargs: dict, dp_cls: Type[DescriptorNumber]):
+#     data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
+
+#     obj = dp_cls(**data_dict)
+
+#     enc = obj.encode(encoder=DictSerializer)
+#     global_object.map._clear()
+#     dec = dp_cls.from_dict(enc)
+
+#     for k in data_dict.keys():
+#         if hasattr(obj, k) and hasattr(dec, k):
+#             assert getattr(obj, k) == getattr(dec, k)
+#         else:
+#             raise AttributeError(f"{k} not found in decoded object")
+
+
+# @pytest.mark.parametrize(**dp_param_dict)
+# def test_variable_DataDictSerializer_decode(dp_kwargs: dict, dp_cls: Type[DescriptorNumber]):
+#     data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
+
+#     obj = dp_cls(**data_dict)
+
+#     enc = obj.encode(encoder=DataDictSerializer)
+#     with pytest.raises(NotImplementedError):
+#         dec = obj.decode(enc, decoder=DataDictSerializer)
+
+
+# def test_group_encode():
+#     d0 = DescriptorNumber("a", 0)
+#     d1 = DescriptorNumber("b", 1)
+
+#     from easyscience.base_classes import BaseCollection
+
+#     b = BaseCollection("test", d0, d1)
+#     d = b.as_dict()
+#     assert isinstance(d["data"], list)
+
+
+# def test_group_encode2():
+#     d0 = DescriptorNumber("a", 0)
+#     d1 = DescriptorNumber("b", 1)
+
+#     from easyscience.base_classes import BaseCollection
+
+#     b = BaseObj("outer", b=BaseCollection("test", d0, d1))
+#     d = b.as_dict()
+#     assert isinstance(d["b"], dict)
\ No newline at end of file
diff --git a/tests/unit_tests/legacy/test_json.py b/tests/unit_tests/legacy/test_json.py
new file mode 100644
index 00000000..651bd950
--- /dev/null
+++ b/tests/unit_tests/legacy/test_json.py
@@ -0,0 +1,123 @@
+
+# import json
+# from copy import deepcopy
+# from typing import Type
+
+# import pytest
+
+# from easyscience.io.json import JsonDataSerializer
+# from easyscience.io.json import JsonSerializer
+# from easyscience.variable import DescriptorNumber
+
+# from .test_core import check_dict
+# from .test_core import dp_param_dict
+# from .test_core import skip_dict
+# from easyscience import global_object
+
+
+# def recursive_remove(d, remove_keys: list) -> dict:
+#     """
+#     Remove keys from a dictionary.
+#     """
+#     if not isinstance(remove_keys, list):
+#         remove_keys = [remove_keys]
+#     if isinstance(d, dict):
+#         dd = {}
+#         for k in d.keys():
+#             if k not in remove_keys:
+#                 dd[k] = recursive_remove(d[k], remove_keys)
+#         return dd
+#     else:
+#         return d
+
+
+# ########################################################################################################################
+# # TESTING ENCODING
+# ########################################################################################################################
+# @pytest.mark.parametrize(**skip_dict)
+# @pytest.mark.parametrize(**dp_param_dict)
+# def test_variable_DictSerializer(dp_kwargs: dict, dp_cls: Type[DescriptorNumber], skip):
+#     data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
+
+#     obj = dp_cls(**data_dict)
+
+#     dp_kwargs = deepcopy(dp_kwargs)
+
+#     if isinstance(skip, str):
+#         del dp_kwargs[skip]
+
+#     if not isinstance(skip, list):
+#         skip = [skip]
+
+#     enc = obj.encode(skip=skip, encoder=JsonSerializer)
+#     assert isinstance(enc, str)
+
+#     # We can test like this as we don't have "complex" objects yet
+#     dec = json.loads(enc)
+#     expected_keys = set(dp_kwargs.keys())
+#     obtained_keys = set(dec.keys())
+
+#     dif = expected_keys.difference(obtained_keys)
+
+#     assert len(dif) == 0
+
+#     check_dict(dp_kwargs, dec)
+
+
+# @pytest.mark.parametrize(**skip_dict)
+# @pytest.mark.parametrize(**dp_param_dict)
+# def test_variable_DataDictSerializer(dp_kwargs: dict, dp_cls: Type[DescriptorNumber], skip):
+#     data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
+
+#     obj = dp_cls(**data_dict)
+
+#     if isinstance(skip, str):
+#         del data_dict[skip]
+
+#     if not isinstance(skip, list):
+#         skip = [skip]
+
+#     enc = obj.encode(skip=skip, encoder=JsonDataSerializer)
+#     assert isinstance(enc, str)
+#     enc_d = json.loads(enc)
+
+#     expected_keys = set(data_dict.keys())
+#     obtained_keys = set(enc_d.keys())
+
+#     dif = expected_keys.difference(obtained_keys)
+
+#     assert len(dif) == 0
+
+#     check_dict(data_dict, enc_d)
+
+# # ########################################################################################################################
+# # # TESTING DECODING
+# # ########################################################################################################################
+# @pytest.mark.parametrize(**dp_param_dict)
+# def test_variable_DictSerializer_decode(dp_kwargs: dict, dp_cls: Type[DescriptorNumber]):
+#     data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
+
+#     obj = dp_cls(**data_dict)
+
+#     enc = obj.encode(encoder=JsonSerializer)
+#     global_object.map._clear()
+#     assert isinstance(enc, str)
+#     dec = obj.decode(enc, decoder=JsonSerializer)
+
+#     for k in data_dict.keys():
+#         if hasattr(obj, k) and hasattr(dec, k):
+#             assert getattr(obj, k) == getattr(dec, k)
+#         else:
+#             raise AttributeError(f"{k} not found in decoded object")
+
+
+# @pytest.mark.parametrize(**dp_param_dict)
+# def test_variable_DataDictSerializer_decode(dp_kwargs: dict, dp_cls: Type[DescriptorNumber]):
+#     data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
+
+#     obj = dp_cls(**data_dict)
+
+#     enc = obj.encode(encoder=JsonDataSerializer)
+#     global_object.map._clear()
+#     with pytest.raises(NotImplementedError):
+#         dec = obj.decode(enc, decoder=JsonDataSerializer)
diff --git a/tests/unit_tests/legacy/test_xml.py b/tests/unit_tests/legacy/test_xml.py
new file mode 100644
index 00000000..7094de85
--- /dev/null
+++ b/tests/unit_tests/legacy/test_xml.py
@@ -0,0 +1,111 @@
+
+# import sys
+# import xml.etree.ElementTree as ET
+# from copy import deepcopy
+# from typing import Type
+
+# import pytest
+
+# from easyscience.legacy.xml import XMLSerializer
+# from easyscience.variable import DescriptorNumber
+
+# from ..io.test_core import dp_param_dict
+# from ..io.test_core import skip_dict
+# from easyscience import global_object
+
+# def recursive_remove(d, remove_keys: list) -> dict:
+#     """
+#     Remove keys from a dictionary.
+#     """
+#     if not isinstance(remove_keys, list):
+#         remove_keys = [remove_keys]
+#     if isinstance(d, dict):
+#         dd = {}
+#         for k in d.keys():
+#             if k not in remove_keys:
+#                 dd[k] = recursive_remove(d[k], remove_keys)
+#         return dd
+#     else:
+#         return d
+
+
+# def recursive_test(testing_obj, reference_obj):
+#     for i, (k, v) in enumerate(testing_obj.items()):
+#         if isinstance(v, dict):
+#             recursive_test(v, reference_obj[i])
+#         else:
+#             assert v == XMLSerializer.string_to_variable(reference_obj[i].text)
+
+
+# ########################################################################################################################
+# # TESTING ENCODING
+# ########################################################################################################################
+# @pytest.mark.parametrize(**skip_dict)
+# @pytest.mark.parametrize(**dp_param_dict)
+# def test_variable_XMLDictSerializer(dp_kwargs: dict, dp_cls: Type[DescriptorNumber], skip):
+#     data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
+
+#     obj = dp_cls(**data_dict)
+
+#     dp_kwargs = deepcopy(dp_kwargs)
+
+#     if isinstance(skip, str):
+#         del dp_kwargs[skip]
+
+#     if not isinstance(skip, list):
+#         skip = [skip]
+
+#     enc = obj.encode(skip=skip, encoder=XMLSerializer)
+#     ref_encode = obj.encode(skip=skip)
+#     assert isinstance(enc, str)
+#     data_xml = ET.XML(enc)
+#     assert data_xml.tag == "data"
+#     recursive_test(data_xml, ref_encode)
+
+# # ########################################################################################################################
+# # # TESTING DECODING
+# # ########################################################################################################################
+# @pytest.mark.parametrize(**dp_param_dict)
+# def test_variable_XMLDictSerializer_decode(dp_kwargs: dict, dp_cls: Type[DescriptorNumber]):
+#     data_dict = {k: v for k, v in dp_kwargs.items() if k[0] != "@"}
+
+#     obj = dp_cls(**data_dict)
+
+#     enc = obj.encode(encoder=XMLSerializer)
+#     assert isinstance(enc, str)
+#     data_xml = ET.XML(enc)
+#     assert data_xml.tag == "data"
+#     global_object.map._clear()
+#     dec = dp_cls.decode(enc, decoder=XMLSerializer)
+
+#     for k in data_dict.keys():
+#         if hasattr(obj, k) and hasattr(dec, k):
+#             assert getattr(obj, k) == getattr(dec, k)
+#         else:
+#             raise AttributeError(f"{k} not found in decoded object")
+
+
+# def test_slow_encode():
+
+#     if sys.version_info < (3, 9):
+#         pytest.skip("This test is only for python 3.9+")
+
+#     a = {"a": [1, 2, 3]}
+#     slow_xml = XMLSerializer().encode(a, fast=False)
+#     reference = """<data>
+#   <a>1</a>
+#   <a>2</a>
+#   <a>3</a>
+# </data>"""
+#     assert slow_xml == reference
+
+
+# def test_include_header():
+
+#     if sys.version_info < (3, 9):
+#         pytest.skip("This test is only for python 3.9+")
+
+#     a = {"a": [1, 2, 3]}
+#     header_xml = XMLSerializer().encode(a, use_header=True)
+#     reference = '?xml version="1.0"  encoding="UTF-8"?\n<data>\n  <a>1</a>\n  <a>2</a>\n  <a>3</a>\n</data>'
+#     assert header_xml == reference
diff --git a/tests/unit_tests/models/__init__.py b/tests/unit_tests/models/__init__.py
new file mode 100644
index 00000000..bb769856
--- /dev/null
+++ b/tests/unit_tests/models/__init__.py
@@ -0,0 +1,4 @@
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience>
+
diff --git a/tests/unit/models/test_polynomial.py b/tests/unit_tests/models/test_polynomial.py
similarity index 92%
rename from tests/unit/models/test_polynomial.py
rename to tests/unit_tests/models/test_polynomial.py
index 5376d03e..2493cd11 100644
--- a/tests/unit/models/test_polynomial.py
+++ b/tests/unit_tests/models/test_polynomial.py
@@ -1,5 +1,7 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
+#  SPDX-FileCopyrightText: 2025 EasyScience contributors  <core@easyscience.software>
+#  SPDX-License-Identifier: BSD-3-Clause
+#  © 2025 Contributors to the EasyScience project <https://github.com/easyScience/EasyScience>
+
 
 import numpy as np
 import pytest
@@ -17,18 +19,18 @@ def clear():
 
 
 poly_test_cases = (
-    (1.0,),
+    (1.,),
     (
-        1.0,
-        2.0,
+        1.,
+        2.,
     ),
-    (1.0, 2.0, 3.0),
-    (-1.0, -2.0, -3.0),
+    (1., 2., 3.),
+    (-1., -2., -3.),
     (0.72, 6.48, -0.48),
 )
 
 
-@pytest.mark.parametrize('coo', poly_test_cases)
+@pytest.mark.parametrize("coo", poly_test_cases)
 def test_Polynomial_pars(clear, coo):
     poly = Polynomial(coefficients=coo)
 
@@ -124,7 +126,7 @@ def test_Polynomial_invalid_coefficients_type(clear):
     """Test that invalid coefficients argument type raises TypeError."""
     # String is iterable, so it will iterate over characters and fail with first error
     with pytest.raises(TypeError, match='Coefficients must be floats or Parameters'):
-        Polynomial(coefficients='invalid')
+        Polynomial(coefficients="invalid")
 
     # Integer is not iterable, so it will fail with second error
     with pytest.raises(TypeError, match='coefficients must be a list or a CollectionBase'):
@@ -186,7 +188,7 @@ def test_Polynomial_call_with_args_kwargs(clear):
 
     x = np.array([0, 1, 2])
     # These additional args/kwargs should be ignored
-    result = poly(x, 'extra_arg', extra_kwarg='value')
+    result = poly(x, "extra_arg", extra_kwarg="value")
     # polyval([1.0, 2.0, 3.0], x) = 1.0*x^2 + 2.0*x + 3.0
     expected = np.polyval([1.0, 2.0, 3.0], x)
     assert np.allclose(result, expected)
diff --git a/tests/unit_tests/variable/__init__.py b/tests/unit_tests/variable/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/unit/variable/test_descriptor_any_type.py b/tests/unit_tests/variable/test_descriptor_any_type.py
similarity index 56%
rename from tests/unit/variable/test_descriptor_any_type.py
rename to tests/unit_tests/variable/test_descriptor_any_type.py
index 5dc28b58..70c4cc65 100644
--- a/tests/unit/variable/test_descriptor_any_type.py
+++ b/tests/unit_tests/variable/test_descriptor_any_type.py
@@ -1,48 +1,43 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
-import numpy as np
 import pytest
+import numpy as np
 
-from easyscience import global_object
 from easyscience.variable import DescriptorAnyType
-
+from easyscience import global_object
 
 class TestDescriptorAnyType:
     @pytest.fixture
     def descriptor(self):
         descriptor = DescriptorAnyType(
-            name='name',
-            value='string',
-            description='description',
-            url='url',
-            display_name='display_name',
+            name="name",
+            value="string",
+            description="description",
+            url="url",
+            display_name="display_name",
             parent=None,
         )
         return descriptor
-
+    
     @pytest.fixture
     def clear(self):
         global_object.map._clear()
 
     def test_init(self, descriptor: DescriptorAnyType):
         # When Then Expect
-        assert descriptor._value == 'string'
+        assert descriptor._value == "string"
 
         # From super
-        assert descriptor._name == 'name'
-        assert descriptor._description == 'description'
-        assert descriptor._url == 'url'
-        assert descriptor._display_name == 'display_name'
+        assert descriptor._name == "name"
+        assert descriptor._description == "description"
+        assert descriptor._url == "url"
+        assert descriptor._display_name == "display_name"
 
     def test_value(self, descriptor: DescriptorAnyType):
         # When Then Expect
-        assert descriptor.value == 'string'
+        assert descriptor.value == "string"
 
-    @pytest.mark.parametrize(
-        'value', [True, 'new_string', 1.0, np.array([1, 2, 3]), {'key': 'value'}]
-    )
-    def test_set_value(self, descriptor: DescriptorAnyType, value):
+    
+    @pytest.mark.parametrize("value", [True, "new_string", 1.0, np.array([1, 2, 3]),{"key": "value"}])
+    def test_set_value(self, descriptor: DescriptorAnyType,value):
         # When Then
         descriptor.value = value
 
@@ -53,14 +48,14 @@ def test_set_value(self, descriptor: DescriptorAnyType, value):
             assert descriptor._value == value
 
     @pytest.mark.parametrize(
-        'value, expected',
+        "value, expected",
         [
-            (True, 'True'),
-            ('new_string', "'new_string'"),
-            (1.0, '1.0'),
-            (np.array([1, 2, 3]), 'array([1, 2, 3])'),
-            ({'key': 'value'}, "{'key': 'value'}"),
-        ],
+            (True, "True"),
+            ("new_string", "'new_string'"),
+            (1.0, "1.0"),
+            (np.array([1, 2, 3]), "array([1, 2, 3])"),
+            ({"key": "value"}, "{'key': 'value'}")
+        ]
     )
     def test_repr(self, descriptor: DescriptorAnyType, value, expected):
         # Set the descriptor value
@@ -80,4 +75,4 @@ def test_copy(self, descriptor: DescriptorAnyType):
 
         # Expect
         assert type(descriptor_copy) == DescriptorAnyType
-        assert descriptor_copy._value == descriptor._value
+        assert descriptor_copy._value == descriptor._value
\ No newline at end of file
diff --git a/tests/unit_tests/variable/test_descriptor_array.py b/tests/unit_tests/variable/test_descriptor_array.py
new file mode 100644
index 00000000..695f5fe2
--- /dev/null
+++ b/tests/unit_tests/variable/test_descriptor_array.py
@@ -0,0 +1,1356 @@
+import pytest
+from unittest.mock import MagicMock
+import scipp as sc
+from scipp import UnitError
+from scipp.testing import assert_identical
+
+import numpy as np
+
+from easyscience.variable import DescriptorArray
+from easyscience import DescriptorNumber
+from easyscience import global_object
+
+class TestDescriptorArray:
+    @pytest.fixture
+    def descriptor(self):
+        descriptor = DescriptorArray(
+            name="name",
+            value=[[1., 2.], [3., 4.]],
+            unit="m",
+            variance=[[0.1, 0.2], [0.3, 0.4]],
+            description="description",
+            url="url",
+            display_name="display_name",
+            parent=None,
+        )
+        return descriptor
+
+    @pytest.fixture
+    def descriptor_dimensionless(self):
+        descriptor = DescriptorArray(
+            name="name",
+            value=[[1., 2.], [3., 4.], [5., 6.]],
+            unit="dimensionless",
+            variance=[[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]],
+            description="description",
+            url="url",
+            display_name="display_name",
+            parent=None,
+        )
+        return descriptor
+
+    @pytest.fixture
+    def clear(self):
+        global_object.map._clear()
+
+    def test_init(self, descriptor: DescriptorArray):
+        # When Then Expect
+        assert np.array_equal(descriptor._array.values,np.array([[1., 2.], [3., 4.]]))
+        assert descriptor._array.unit == "m"
+        assert np.array_equal(descriptor._array.variances, np.array([[0.1, 0.2], [0.3, 0.4]]))
+
+        # From super
+        assert descriptor._name == "name"
+        assert descriptor._description == "description"
+        assert descriptor._url == "url"
+        assert descriptor._display_name == "display_name"
+
+    def test_init_sc_unit(self):
+        # When Then
+        descriptor = DescriptorArray(
+            name="name",
+            value=[[1., 2.], [3., 4.]],
+            unit=sc.units.Unit("m"),
+            variance=[[0.1, 0.2], [0.3, 0.4]],
+            description="description",
+            url="url",
+            display_name="display_name",
+            parent=None,
+        )
+
+        # Expect
+        assert np.array_equal(descriptor._array.values,np.array([[1., 2.], [3., 4.]]))
+        assert descriptor._array.unit == "m"
+        assert np.array_equal(descriptor._array.variances, np.array([[0.1, 0.2], [0.3, 0.4]]))
+
+    def test_init_sc_unit_unknown(self):
+        # When Then Expect
+        with pytest.raises(UnitError):
+            DescriptorArray(
+                name="name",
+                value=[[1., 2.], [3., 4.]],
+                unit="unknown",
+                variance=[[0.1, 0.2], [0.3, 0.4]],
+                description="description",
+                url="url",
+                display_name="display_name",
+                parent=None,
+            )
+
+    @pytest.mark.parametrize("value", [True, "string"])
+    def test_init_value_type_exception(self, value):
+        # When 
+
+        # Then Expect
+        with pytest.raises(TypeError):
+            DescriptorArray(
+                name="name",
+                value=value,
+                unit="m",
+                variance=[[0.1, 0.2], [0.3, 0.4]],
+                description="description",
+                url="url",
+                display_name="display_name",
+                parent=None,
+            )
+
+    def test_init_variance_exception(self):
+        # When 
+        variance=[[-0.1, -0.2], [-0.3, -0.4]]
+        # Then Expect
+        with pytest.raises(ValueError):
+            DescriptorArray(
+                name="name",
+                value=[[1., 2.], [3., 4.]],
+                unit="m",
+                variance=variance,
+                description="description",
+                url="url",
+                display_name="display_name",
+                parent=None,
+            )
+
+    # test from_scipp
+    def test_from_scipp(self):
+        # When
+        full_value = sc.array(dims=['row','column'],values=[[1,2],[3,4]], unit='m')
+        # Then
+        descriptor = DescriptorArray.from_scipp(name="name", full_value=full_value)
+
+        # Expect
+        assert np.array_equal(descriptor._array.values,[[1,2],[3,4]])
+        assert descriptor._array.unit == "m"
+        assert descriptor._array.variances == None
+
+    # @pytest.mark.parametrize("full_value", [sc.array(values=[1,2], dimensions=["x"]), sc.array(values=[[1], [2]], dims=["x","y"]), object(), 1, "string"], ids=["1D", "2D", "object", "int", "string"])
+    # def test_from_scipp_type_exception(self, full_value):
+    #     # When Then Expect
+    #     with pytest.raises(TypeError):
+    #         DescriptorArray.from_scipp(name="name", full_value=full_value)
+
+    def test_get_full_value(self, descriptor: DescriptorArray):
+        # When Then Expect
+        other = sc.array(dims=('dim0','dim1'), 
+                         values=[[1.0, 2.0], [3.0, 4.0]], 
+                         unit='m', 
+                         variances=[[0.1, 0.2], [0.3, 0.4]])
+        assert_identical(descriptor.full_value, other)
+        
+    def test_set_full_value(self, descriptor: DescriptorArray):
+        with pytest.raises(AttributeError):
+            descriptor.full_value = sc.array(dims=['row','column'],values=[[1,2],[3,4]], unit='s')
+
+    def test_unit(self, descriptor: DescriptorArray):
+        # When Then Expect
+        assert descriptor.unit == 'm'
+        
+    def test_set_unit(self, descriptor: DescriptorArray):
+        with pytest.raises(AttributeError):
+            descriptor.unit = 's'
+
+    def test_convert_unit(self, descriptor: DescriptorArray):
+        # When  Then
+        descriptor.convert_unit('mm')
+
+        # Expect
+        assert descriptor._array.unit == 'mm'
+        assert np.array_equal(descriptor._array.values,[[1000,2000],[3000,4000]])
+        assert np.array_equal(descriptor._array.variances,[[100000,200000],[300000,400000]])
+
+    def test_variance(self, descriptor: DescriptorArray):
+        # When Then Expect
+        assert np.array_equal(descriptor._array.variances, np.array([[0.1, 0.2], [0.3, 0.4]]))
+
+        
+    def test_set_variance(self, descriptor: DescriptorArray):
+        # When Then
+        descriptor.variance = [[0.2, 0.3], [0.4, 0.5]]
+
+        # Expect
+        assert np.array_equal(descriptor.variance, np.array([[0.2, 0.3], [0.4, 0.5]]))
+        assert np.array_equal(descriptor.error, np.sqrt(np.array([[0.2, 0.3], [0.4, 0.5]])))
+
+    def test_error(self, descriptor: DescriptorArray):
+        # When Then Expect
+        assert np.array_equal(descriptor.error, np.sqrt(np.array([[0.1, 0.2], [0.3, 0.4]])))
+
+        
+    def test_set_error(self, descriptor: DescriptorArray):
+        # When Then
+        descriptor.error = np.sqrt(np.array([[0.2, 0.3], [0.4, 0.5]]))
+        # Expect
+        assert np.allclose(descriptor.error, np.sqrt(np.array([[0.2, 0.3], [0.4, 0.5]])))
+        assert np.allclose(descriptor.variance, np.array([[0.2, 0.3], [0.4, 0.5]]))
+
+
+    def test_value(self, descriptor: DescriptorArray):
+        # When Then Expect
+        assert np.array_equal(descriptor.value, np.array([[1, 2], [3, 4]]))
+
+    def test_set_value(self, descriptor: DescriptorArray):
+        # When Then
+        descriptor.value = ([[0.2, 0.3], [0.4, 0.5]])
+        # Expect
+        assert np.array_equal(descriptor._array.values, np.array([[0.2, 0.3], [0.4, 0.5]]))
+
+    def test_repr(self, descriptor: DescriptorArray):
+        # When Then
+        repr_str = str(descriptor)
+
+        # Expect
+        assert repr_str ==  "<DescriptorArray 'name': values=[[1. 2.], [3. 4.]], errors=[[0.3162 0.4472], [0.5477 0.6325]], unit=m>"
+
+    def test_copy(self, descriptor: DescriptorArray):
+        # When Then
+        descriptor_copy = descriptor.__copy__()
+
+        # Expect
+        assert type(descriptor_copy) == DescriptorArray
+        assert np.array_equal(descriptor_copy._array.values, descriptor._array.values)
+        assert descriptor_copy._array.unit == descriptor._array.unit
+ 
+    @pytest.mark.parametrize("unit_string, expected", [
+        ("1e+9", "dimensionless"),
+        ("1000", "dimensionless"),
+        ("10dm^2", "m^2")],
+        ids=["scientific_notation", "numbers", "unit_prefix"])
+    def test_base_unit(self, unit_string, expected):
+        # When
+        descriptor = DescriptorArray(name="name", value=[[1.0, 2.0], [3.0, 4.0]], unit=unit_string)
+
+        # Then
+        base_unit = descriptor._base_unit()
+
+        # Expect
+        assert base_unit == expected
+    
+    @pytest.mark.parametrize("test, expected, raises_warning", [
+        (DescriptorNumber("test", 2, "m", 0.01),
+         DescriptorArray("test + name", 
+                         [[3.0, 4.0], [5.0, 6.0]], 
+                         "m", 
+                         [[0.11, 0.21], [0.31, 0.41]]),
+         True),
+        (DescriptorNumber("test", 1, "cm", 10),
+         DescriptorArray("test + name", 
+                         [[1.01, 2.01], [3.01, 4.01]], 
+                         "m", 
+                         [[0.1010, 0.2010], [0.3010, 0.4010]]),
+         True),
+        (DescriptorArray("test", 
+                         [[2.0, 3.0], [4.0, -5.0]], 
+                         "cm", 
+                         [[1.0, 2.0], [3.0, 4.0]]),
+         DescriptorArray("test + name", 
+                         [[1.02, 2.03], [3.04, 3.95]], 
+                         "m", 
+                         [[0.1001, 0.2002], [0.3003, 0.4004]]),
+         False),
+        (DescriptorArray("test", 
+                         [[2, 3], [4, -5]], 
+                         "cm"),
+         DescriptorArray("test + name", 
+                         [[1.02, 2.03], [3.04, 3.95]], 
+                         "m", 
+                         [[0.1, 0.2], [0.3, 0.4]]),
+         False),
+        ],
+        ids=["descriptor_number_regular", "descriptor_number_unit_conversion", "array_conversion", "array_conversion_integer"])
+    def test_addition(self, descriptor: DescriptorArray, test, expected, raises_warning):
+        # When Then
+        if raises_warning:
+            with pytest.warns(UserWarning) as record:
+                result = descriptor + test
+            assert len(record) == 1
+            assert 'Correlations introduced' in record[0].message.args[0]
+        else:
+            result = descriptor + test
+        # Expect
+        assert type(result) == DescriptorArray
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor.unit == 'm'
+
+    @pytest.mark.parametrize("test, expected", [
+        ([[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]], 
+         DescriptorArray("test", 
+                         [[3.0, 5.0], [7.0, -1.0], [11.0, -2.0]], 
+                         "dimensionless", 
+                         [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]])),
+        (1,
+         DescriptorArray("test", 
+                         [[2.0, 3.0], [4.0, 5.0], [6.0, 7.0]], 
+                         "dimensionless", 
+                         [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]]))
+        ],
+        ids=["list", "number"])
+    def test_addition_dimensionless(self, descriptor_dimensionless: DescriptorArray, test, expected):
+        # When Then
+        result = descriptor_dimensionless + test
+        # Expect
+        assert type(result) == DescriptorArray
+        assert np.array_equal(result.value, expected.value)
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor_dimensionless.unit == 'dimensionless'
+
+    @pytest.mark.parametrize("test, expected, raises_warning", [
+        (DescriptorNumber("test", 2, "m", 0.01),
+         DescriptorArray("test + name", 
+                         [[3.0, 4.0], [5.0, 6.0]], 
+                         "m", 
+                         [[0.11, 0.21], [0.31, 0.41]]),
+         True),
+        (DescriptorNumber("test", 1, "cm", 10),
+         DescriptorArray("test + name", 
+                         [[101.0, 201.0], [301.0, 401.0]], 
+                         "cm", 
+                         [[1010.0, 2010.0], [3010.0, 4010.0]]),
+         True),
+        (DescriptorArray("test", 
+                         [[2.0, 3.0], [4.0, -5.0]], 
+                         "cm", 
+                         [[1.0, 2.0], [3.0, 4.0]]),
+         DescriptorArray("test + name", 
+                         [[102.0, 203.0], [304.0, 395.0]], 
+                         "cm", 
+                         [[1001.0, 2002.0], [3003.0, 4004.0]]),
+         False),
+        (DescriptorArray("test", 
+                         [[2, 3], [4, -5]], 
+                         "cm"), 
+         DescriptorArray("test + name", 
+                         [[102.0, 203.0], [304.0, 395.0]], 
+                         "cm", 
+                         [[1000.0, 2000.0], [3000.0, 4000.0]]),
+         False),
+        ],
+        ids=["descriptor_number_regular", "descriptor_number_unit_conversion", "array_conversion", "array_conversion_integer"])
+    def test_reverse_addition(self, descriptor: DescriptorArray, test, expected, raises_warning):
+        # When Then
+        if raises_warning:
+            with pytest.warns(UserWarning) as record:
+                result = test + descriptor
+            assert len(record) == 1
+            assert 'Correlations introduced' in record[0].message.args[0]
+        else:
+            result = test + descriptor
+        # Expect
+        assert type(result) == DescriptorArray
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor.unit == 'm'
+
+    @pytest.mark.parametrize("test, expected", [
+        ([[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]], 
+         DescriptorArray("test", 
+                         [[3.0, 5.0], [7.0, -1.0], [11.0, -2.0]], 
+                         "dimensionless", 
+                         [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]])),
+        (1,
+         DescriptorArray("test", 
+                         [[2.0, 3.0], [4.0, 5.0], [6.0, 7.0]], 
+                         "dimensionless", 
+                         [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]]))
+        ],
+        ids=["list", "number"])
+    def test_reverse_addition_dimensionless(self, descriptor_dimensionless: DescriptorArray, test, expected):
+        # When Then
+        result = test + descriptor_dimensionless
+        # Expect
+        assert type(result) == DescriptorArray
+        assert np.array_equal(result.value, expected.value)
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor_dimensionless.unit == 'dimensionless'
+
+    @pytest.mark.parametrize("test, expected, raises_warning", [
+        (DescriptorNumber("test", 2, "m", 0.01),
+         DescriptorArray("test + name", 
+                         [[-1.0, 0.0], [1.0, 2.0]], 
+                         "m", 
+                         [[0.11, 0.21], [0.31, 0.41]]),
+         True),
+        (DescriptorNumber("test", 1, "cm", 10),
+         DescriptorArray("test + name", 
+                         [[0.99, 1.99], [2.99, 3.99]], 
+                         "m", 
+                         [[0.1010, 0.2010], [0.3010, 0.4010]]),
+         True),
+        (DescriptorArray("test", 
+                         [[2.0, 3.0], [4.0, -5.0]], 
+                         "cm", 
+                         [[1.0, 2.0], [3.0, 4.0]]),
+         DescriptorArray("test + name", 
+                         [[0.98, 1.97], [2.96, 4.05]], 
+                         "m", 
+                         [[0.1001, 0.2002], [0.3003, 0.4004]]),
+         False),
+        (DescriptorArray("test", 
+                         [[2, 3], [4, -5]], 
+                         "cm"),
+         DescriptorArray("test + name", 
+                         [[0.98, 1.97], [2.96, 4.05]], 
+                         "m", 
+                         [[0.100, 0.200], [0.300, 0.400]]),
+         False)
+        ],
+        ids=["descriptor_number_regular", "descriptor_number_unit_conversion", "array_conversion", "array_conversion_integer"])
+    def test_subtraction(self, descriptor: DescriptorArray, test, expected, raises_warning):
+        # When Then
+        if raises_warning:
+            with pytest.warns(UserWarning) as record:
+                result = descriptor - test
+            assert len(record) == 1
+            assert 'Correlations introduced' in record[0].message.args[0]
+        else:
+            result = descriptor - test
+        # Expect
+        assert type(result) == DescriptorArray
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor.unit == 'm'
+
+    @pytest.mark.parametrize("test, expected", [
+        ([[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]], 
+         DescriptorArray("test", 
+                         [[-1.0, -1.0], [-1.0, 9.0], [-1, 14.0]], 
+                         "dimensionless", 
+                         [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]])),
+        (1,
+         DescriptorArray("test", 
+                         [[0.0, 1.0], [2.0, 3.0], [4.0, 5.0]], 
+                         "dimensionless", 
+                         [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]]))
+        ],
+        ids=["list", "number"])
+    def test_subtraction_dimensionless(self, descriptor_dimensionless: DescriptorArray, test, expected):
+        # When Then
+        result = descriptor_dimensionless - test
+        # Expect
+        assert type(result) == DescriptorArray
+        assert np.array_equal(result.value, expected.value)
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor_dimensionless.unit == 'dimensionless'
+        
+    @pytest.mark.parametrize("test, expected, raises_warning", [
+        (DescriptorNumber("test", 2, "m", 0.01),
+         DescriptorArray("test + name", 
+                         [[1.0, 0.0], [-1.0, -2.0]], 
+                         "m", 
+                         [[0.11, 0.21], [0.31, 0.41]]),
+         True),
+        (DescriptorNumber("test", 1, "cm", 10),
+         DescriptorArray("test + name", 
+                         [[-99.0, -199.0], [-299.0, -399.0]], 
+                         "cm", 
+                         [[1010.0, 2010.0], [3010.0, 4010.0]]),
+         True),
+        (DescriptorArray("test", 
+                         [[2.0, 3.0], [4.0, -5.0]], 
+                         "cm", 
+                         [[1.0, 2.0], [3.0, 4.0]]),
+         DescriptorArray("test + name", 
+                         [[-98.0, -197.0], [-296.0, -405.0]], 
+                         "cm", 
+                         [[1001.0, 2002.0], [3003.0, 4004.0]]),
+         False),
+        (DescriptorArray("test", 
+                         [[2, 3], [4, -5]], 
+                         "cm"),
+         DescriptorArray("test + name", 
+                         [[-98.0, -197.0], [-296.0, -405.0]], 
+                         "cm", 
+                         [[1000.0, 2000.0], [3000.0, 4000.0]]),
+         False)
+        ],
+        ids=["descriptor_number_regular", "descriptor_number_unit_conversion", "array_conversion", "array_conversion_integer"])
+    def test_reverse_subtraction(self, descriptor: DescriptorArray, test, expected, raises_warning):
+        # When Then
+        if raises_warning:
+            with pytest.warns(UserWarning) as record:
+                result = test - descriptor
+            assert len(record) == 1
+            assert 'Correlations introduced' in record[0].message.args[0]
+        else:
+            result = test - descriptor
+        # Expect
+        assert type(result) == DescriptorArray
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor.unit == 'm'
+
+    @pytest.mark.parametrize("test, expected", [
+        ([[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]], 
+         DescriptorArray("test", 
+                         [[1.0, 1.0], [1.0, -9.0], [1.0, -14.0]], 
+                         "dimensionless", 
+                         [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]])),
+        (1,
+         DescriptorArray("test", 
+                         [[0.0, -1.0], [-2.0, -3.0], [-4.0, -5.0]], 
+                         "dimensionless", 
+                         [[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]]))
+        ],
+        ids=["list", "number"])
+    def test_reverse_subtraction_dimensionless(self, descriptor_dimensionless: DescriptorArray, test, expected):
+        # When Then
+        result = test - descriptor_dimensionless
+        # Expect
+        assert type(result) == DescriptorArray
+        assert np.array_equal(result.value, expected.value)
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor_dimensionless.unit == 'dimensionless'
+
+    @pytest.mark.parametrize("test, expected, raises_warning", [
+        (DescriptorNumber("test", 2, "m", 0.01),
+         DescriptorArray("test * name", 
+                         [[2.0, 4.0], [6.0, 8.0]], 
+                         "m^2", 
+                         [[0.41, 0.84], [1.29, 1.76]]),
+         True),
+        (DescriptorNumber("test", 1, "cm", 10),
+         DescriptorArray("test * name", 
+                         [[0.01, 0.02], [0.03, 0.04]], 
+                         "m^2", 
+                         [[0.00101, 0.00402], [0.00903, 0.01604]]),
+         True),
+        (DescriptorNumber("test", 1, "kg", 10),
+         DescriptorArray("test * name", 
+                         [[1.0, 2.0], [3.0, 4.0]], 
+                         "kg*m", 
+                         [[10.1, 40.2], [90.3, 160.4]]),
+         True),
+        (DescriptorArray("test", 
+                         [[2.0, 3.0], [4.0, -5.0]], 
+                         "cm", 
+                         [[1.0, 2.0], [3.0, 4.0]]),
+         DescriptorArray("test * name", 
+                         [[0.02, 0.06], [0.12, -0.2]], 
+                         "m^2", 
+                         [[0.00014, 0.00098], [0.00318, 0.0074]]),
+         False),
+        (DescriptorArray("test", 
+                         [[2, 3], [4, -5]], 
+                         "cm"),
+         DescriptorArray("test * name", 
+                         [[0.02, 0.06], [0.12, -0.2]], 
+                         "m^2", 
+                         [[0.1 * 2**2 * 1e-4, 0.2 * 3**2 * 1e-4],
+                          [0.3 * 4**2 * 1e-4, 0.4 * 5**2 * 1e-4]]),
+         False),
+        ([[2.0, 3.0], [4.0, -5.0]], 
+         DescriptorArray("test * name", 
+                         [[2.0, 6.0], [12.0, -20.0]], 
+                         "m", 
+                         [[0.1 * 2**2, 0.2 * 3**2],
+                          [0.3 * 4**2, 0.4 * 5**2]]),
+         False),
+        (2.0, 
+         DescriptorArray("test * name", 
+                         [[2.0, 4.0], [6.0, 8.0]], 
+                         "m", 
+                         [[0.1 * 2**2, 0.2 * 2**2],
+                          [0.3 * 2**2, 0.4 * 2**2]]),
+         False)
+
+        ],
+        ids=["descriptor_number_regular",
+             "descriptor_number_unit_conversion",
+             "descriptor_number_different_units",
+             "array_conversion",
+             "array_conversion_integer",
+             "list",
+             "number"])
+    def test_multiplication(self, descriptor: DescriptorArray, test, expected, raises_warning):
+        # When Then
+        if raises_warning:
+            with pytest.warns(UserWarning) as record:
+                result = descriptor * test
+            assert len(record) == 1
+            assert 'Correlations introduced' in record[0].message.args[0]
+        else:
+            result = descriptor * test
+        # Expect
+        assert type(result) == DescriptorArray
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor.unit == 'm'
+
+    @pytest.mark.parametrize("test, expected", [
+        ([[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]], 
+         DescriptorArray("test", 
+                         [[2.0, 6.0], [12.0, -20.0], [30.0, -48.0]], 
+                         "dimensionless", 
+                         [[0.4, 1.8], [4.8, 10.0], [18.0, 38.4]])),
+        (1.5,
+         DescriptorArray("test", 
+                         [[1.5, 3.0], [4.5, 6.0], [7.5, 9.0]], 
+                         "dimensionless", 
+                         [[0.225, 0.45], [0.675, 0.9], [1.125, 1.35]]))
+        ],
+        ids=["list", "number"])
+    def test_multiplication_dimensionless(self, descriptor_dimensionless: DescriptorArray, test, expected):
+        # When Then
+        result = descriptor_dimensionless * test
+        # Expect
+        assert type(result) == DescriptorArray
+        assert np.array_equal(result.value, expected.value)
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor_dimensionless.unit == 'dimensionless'
+ 
+    @pytest.mark.parametrize("test, expected, raises_warning", [
+        (DescriptorNumber("test", 2, "m", 0.01),
+         DescriptorArray("test * name", 
+                         [[2.0, 4.0], [6.0, 8.0]], 
+                         "m^2", 
+                         [[0.41, 0.84], [1.29, 1.76]]),
+         True),
+        (DescriptorNumber("test", 1, "cm", 10),
+         DescriptorArray("test * name", 
+                         [[100.0, 200.0], [300.0, 400.0]], 
+                         "cm^2", 
+                         [[101000.0, 402000.0], [903000.0, 1604000.0]]),
+         True),
+        (DescriptorNumber("test", 1, "kg", 10),
+         DescriptorArray("test * name", 
+                         [[1.0, 2.0], [3.0, 4.0]], 
+                         "kg*m", 
+                         [[10.1, 40.2], [90.3, 160.4]]),
+         True),
+        (DescriptorArray("test", 
+                         [[2.0, 3.0], [4.0, -5.0]], 
+                         "cm", 
+                         [[1.0, 2.0], [3.0, 4.0]]),
+         DescriptorArray("test * name", 
+                         [[200.0, 600.0], [1200.0, -2000.0]], 
+                         "cm^2", 
+                         [[14000.0, 98000.0], [318000.0, 740000.0]]),
+         False),
+        (DescriptorArray("test", 
+                         [[2, 3], [4, -5]], 
+                         "cm"),
+         DescriptorArray("test * name", 
+                         [[200.0, 600.0], [1200.0, -2000.0]], 
+                         "cm^2", 
+                         [[0.1 * 2**2 * 1e4, 0.2 * 3**2 * 1e4],
+                          [0.3 * 4**2 * 1e4, 0.4 * 5**2 * 1e4]]),
+         False),
+        ([[2.0, 3.0], [4.0, -5.0]], 
+         DescriptorArray("test * name", 
+                         [[2.0, 6.0], [12.0, -20.0]], 
+                         "m", 
+                         [[0.1 * 2**2, 0.2 * 3**2],
+                          [0.3 * 4**2, 0.4 * 5**2]]),
+         False),
+        (2.0, 
+         DescriptorArray("test * name", 
+                         [[2.0, 4.0], [6.0, 8.0]], 
+                         "m", 
+                         [[0.1 * 2**2, 0.2 * 2**2],
+                          [0.3 * 2**2, 0.4 * 2**2]]),
+         False)
+
+        ],
+        ids=["descriptor_number_regular",
+             "descriptor_number_unit_conversion",
+             "descriptor_number_different_units",
+             "array_conversion",
+             "array_conversion_integer",
+             "list",
+             "number"])
+    def test_reverse_multiplication(self, descriptor: DescriptorArray, test, expected, raises_warning):
+        # When Then
+        if raises_warning:
+            with pytest.warns(UserWarning) as record:
+                result = test * descriptor
+            assert len(record) == 1
+            assert 'Correlations introduced' in record[0].message.args[0]
+        else:
+            result = test * descriptor
+        # Expect
+        assert type(result) == DescriptorArray
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor.unit == 'm'
+
+    @pytest.mark.parametrize("test, expected", [
+        ([[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]], 
+         DescriptorArray("test", 
+                         [[2.0, 6.0], [12.0, -20.0], [30.0, -48.0]], 
+                         "dimensionless", 
+                         [[0.4, 1.8], [4.8, 10.0], [18.0, 38.4]])),
+        (1.5,
+         DescriptorArray("test", 
+                         [[1.5, 3.0], [4.5, 6.0], [7.5, 9.0]], 
+                         "dimensionless", 
+                         [[0.225, 0.45], [0.675, 0.9], [1.125, 1.35]]))
+        ],
+        ids=["list", "number"])
+    def test_reverse_multiplication_dimensionless(self, descriptor_dimensionless: DescriptorArray, test, expected):
+        # When Then
+        result = test * descriptor_dimensionless
+        # Expect
+        assert type(result) == DescriptorArray
+        assert np.array_equal(result.value, expected.value)
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor_dimensionless.unit == 'dimensionless'
+
+    @pytest.mark.parametrize("test, expected, raises_warning", [
+        (DescriptorNumber("test", 2, "m", 0.01),
+         DescriptorArray("name / test", 
+                         [[1.0/2.0, 2.0/2.0], [3.0/2.0, 4.0/2.0]], 
+                         "dimensionless", 
+                         [[(0.1 + 0.01 * 1.0**2 / 2.0**2) / 2.0**2, 
+                           (0.2 + 0.01 * 2.0**2 / 2.0**2) / 2.0**2], 
+                          [(0.3 + 0.01 * 3.0**2 / 2.0**2) / 2.0**2,
+                           (0.4 + 0.01 * 4.0**2 / 2.0**2) / 2.0**2]]),
+         True),
+        (DescriptorNumber("test", 1, "cm", 10),
+         DescriptorArray("name / test", 
+                         [[100.0, 200.0], [300.0, 400.0]], 
+                         "dimensionless", 
+                         [[(0.1 + 10 * 1.0**2 / 1.0**2) / 1.0**2 * 1e4, 
+                           (0.2 + 10 * 2.0**2 / 1.0**2) / 1.0**2 * 1e4], 
+                          [(0.3 + 10 * 3.0**2 / 1.0**2) / 1.0**2 * 1e4,
+                           (0.4 + 10 * 4.0**2 / 1.0**2) / 1.0**2 * 1e4]]),
+         True),
+        (DescriptorNumber("test", 1, "kg", 10),
+         DescriptorArray("name / test", 
+                         [[1.0, 2.0], [3.0, 4.0]], 
+                         "m/kg", 
+                         [[(0.1 + 10 * 1.0**2 / 1.0**2) / 1.0**2, 
+                           (0.2 + 10 * 2.0**2 / 1.0**2) / 1.0**2], 
+                          [(0.3 + 10 * 3.0**2 / 1.0**2) / 1.0**2,
+                           (0.4 + 10 * 4.0**2 / 1.0**2) / 1.0**2]]),
+         True),
+        (DescriptorArray("test", 
+                         [[2.0, 3.0], [4.0, -5.0]], 
+                         "cm^2", 
+                         [[1.0, 2.0], [3.0, 4.0]]),
+         DescriptorArray("name / test", 
+                         [[1/2 * 1e4, 2/3 * 1e4], [3.0/4.0*1e4, -4.0/5.0 * 1e4]], 
+                         "1/m", 
+                         [[(0.1 + 1.0 * 1.0**2 / 2.0**2) / 2.0**2 * 1e8, 
+                           (0.2 + 2.0 * 2.0**2 / 3.0**2) / 3.0**2 * 1e8], 
+                          [(0.3 + 3.0 * 3.0**2 / 4.0**2) / 4.0**2 * 1e8,
+                           (0.4 + 4.0 * 4.0**2 / 5.0**2) / 5.0**2 * 1e8]]),
+         False),
+        (DescriptorArray("test", 
+                         [[2, 3], [4, -5]], 
+                         "cm^2"),
+         DescriptorArray("name / test", 
+                         [[1/2 * 1e4, 2/3 * 1e4], [3.0/4.0*1e4, -4.0/5.0 * 1e4]], 
+                         "1/m", 
+                         [[(0.1) / 2.0**2 * 1e8, 
+                           (0.2) / 3.0**2 * 1e8], 
+                          [(0.3) / 4.0**2 * 1e8,
+                           (0.4) / 5.0**2 * 1e8]]),
+         False),
+        ([[2.0, 3.0], [4.0, -5.0]],
+         DescriptorArray("name / name", 
+                         [[0.5, 2.0/3.0], [3.0/4.0, -4/5]], 
+                         "m", 
+                         [[0.1 / 2**2, 0.2 / 3.0**2], 
+                          [0.3 / 4**2, 0.4 / 5.0**2]]),
+         False),
+        (2.0,
+         DescriptorArray("name / test", 
+                         [[0.5, 1.0], [3.0/2.0, 2.0]], 
+                         "m", 
+                         [[0.1 / 2.0**2, 0.2 / 2.0**2], 
+                          [0.3 / 2.0**2, 0.4 / 2.0**2]]),
+         False)
+        ],
+        ids=["descriptor_number_regular",
+             "descriptor_number_unit_conversion",
+             "descriptor_number_different_units",
+             "array_conversion",
+             "array_conversion_integer",
+             "list",
+             "number"])
+    def test_division(self, descriptor: DescriptorArray, test, expected, raises_warning):
+        # When Then
+        if raises_warning:
+            with pytest.warns(UserWarning) as record:
+                result = descriptor / test
+            assert len(record) == 1
+            assert 'Correlations introduced' in record[0].message.args[0]
+        else:
+            result = descriptor / test
+        # Expect
+        assert type(result) == DescriptorArray
+        assert result.name == result.unique_name
+        assert np.allclose(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor.unit == 'm'
+    
+    @pytest.mark.parametrize("test, expected", [
+        ([[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]], 
+         DescriptorArray("test", 
+                         [[1.0/2.0, 2.0/3.0], [3.0/4.0, -4.0/5.0], [5.0/6.0, -6.0/8.0]], 
+                         "dimensionless", 
+                         [[0.1 / 2.0**2, 
+                           0.2 / 3.0**2], 
+                          [0.3 / 4.0**2,
+                           0.4 / 5.0**2],
+                          [0.5 / 6.0**2,
+                           0.6 / 8.0**2]])),
+        (2,
+         DescriptorArray("test", 
+                         [[1.0/2.0, 2.0/2.0], [3.0/2.0, 4.0/2.0], [5.0/2.0, 6.0/2.0]], 
+                         "dimensionless", 
+                         [[0.1 / 2.0**2, 
+                           0.2 / 2.0**2], 
+                          [0.3 / 2.0**2,
+                           0.4 / 2.0**2],
+                          [0.5 / 2.0**2,
+                           0.6 / 2.0**2]]))
+        ],
+        ids=["list", "number"])
+    def test_division_dimensionless(self, descriptor_dimensionless: DescriptorArray, test, expected):
+        # When Then
+        result = descriptor_dimensionless / test
+        # Expect
+        assert type(result) == DescriptorArray
+        assert np.allclose(result.value, expected.value)
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor_dimensionless.unit == 'dimensionless'
+
+    @pytest.mark.parametrize("test, expected, raises_warning", [
+        (DescriptorNumber("test", 2, "m", 0.01),
+         DescriptorArray("test / name", 
+                         [[2.0, 1.0], [2.0/3.0, 0.5]], 
+                         "dimensionless", 
+                         [[0.41, 0.0525], 
+                          [(0.01 + 0.3 * 2**2 / 3.0**2) / 3.0**2,
+                           (0.01 + 0.4 * 2**2 / 4.0**2) / 4.0**2]]),
+         True),
+        (DescriptorNumber("test", 1, "cm", 10),
+         DescriptorArray("test / name", 
+                         [[1.0/100.0, 1.0/200.0], [1.0/300.0, 1.0/400.0]], 
+                         "dimensionless", 
+                         [[1.01e-3, (1e-3 + 0.2 * 0.01**2/2**2) / 2**2],
+                          [(1e-3 + 0.3 * 0.01**2/3**2) / 3**2,(1e-3 + 0.4 * 0.01**2 / 4**2) / 4**2]]),
+         True),
+        (DescriptorNumber("test", 1, "kg", 10),
+         DescriptorArray("test / name", 
+                         [[1.0, 0.5], [1.0/3.0, 0.25]], 
+                         "kg/m", 
+                         [[10.1, ( 10 + 0.2 * 1/2**2 ) / 2**2],
+                          [( 10 + 0.3 * 1/3**2 ) / 3**2, ( 10 + 0.4 * 1/4**2 ) / 4**2 ]]),
+         True),
+        (DescriptorArray("test", 
+                         [[2.0, 3.0], [4.0, -5.0]], 
+                         "cm^2", 
+                         [[1.0, 2.0], [3.0, 4.0]]),
+         DescriptorArray("test / name", 
+                         [[2e-4, 1.5e-4], [4.0/3.0*1e-4, -1.25e-4]], 
+                         "m", 
+                         [[1.4e-8, 6.125e-9], 
+                          [( 3.0e-8 + 0.3 * (0.0004)**2 / 3**2 ) / 3**2, 
+                           ( 4.0e-8 + 0.4 * (0.0005)**2 / 4**2 ) / 4**2]]),
+         False),
+        (DescriptorArray("test", 
+                         [[2, 3], [4, -5]], 
+                         "cm^2"), 
+         DescriptorArray("test / name", 
+                         [[2e-4, 1.5e-4], [4.0/3.0*1e-4, -1.25e-4]], 
+                         "m", 
+                         [[(0.1 * 2.0**2 / 1.0**2) / 1.0**2 * 1e-8, 
+                           (0.2 * 3.0**2 / 2.0**2) / 2.0**2 * 1e-8], 
+                          [(0.3 * 4.0**2 / 3.0**2) / 3.0**2 * 1e-8,
+                           (0.4 * 5.0**2 / 4.0**2) / 4.0**2 * 1e-8]]),
+         False),
+        ([[2.0, 3.0], [4.0, -5.0]],
+         DescriptorArray("test / name", 
+                         [[2, 1.5], [4.0/3.0, -1.25]], 
+                         "1/m", 
+                         [[0.1 * 2**2 / 1**4, 0.2 * 3.0**2 / 2.0**4], 
+                          [0.3 * 4**2 / 3**4, 0.4 * 5.0**2 / 4.0**4]]),
+         False),
+        (2.0,
+         DescriptorArray("test / name", 
+                         [[2, 1.0], [2.0/3.0, 0.5]], 
+                         "1/m", 
+                         [[0.1 * 2**2 / 1**4, 0.2 * 2.0**2 / 2.0**4], 
+                          [0.3 * 2**2 / 3**4, 0.4 * 2.0**2 / 4.0**4]]),
+         False)
+        ],
+        ids=["descriptor_number_regular",
+             "descriptor_number_unit_conversion",
+             "descriptor_number_different_units",
+             "array_conversion",
+             "array_conversion_integer",
+             "list",
+             "number"])
+    def test_reverse_division(self, descriptor: DescriptorArray, test, expected, raises_warning):
+        # When Then
+        if raises_warning:
+            with pytest.warns(UserWarning) as record:
+                result = test / descriptor
+            assert len(record) == 1
+            assert 'Correlations introduced' in record[0].message.args[0]
+        else:
+            result = test / descriptor
+        # Expect
+        assert type(result) == DescriptorArray
+        assert result.name == result.unique_name
+        assert np.allclose(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor.unit == 'm'
+
+    @pytest.mark.parametrize("test, expected", [
+        ([[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]], 
+         DescriptorArray("test", 
+                         [[2.0/1.0, 3.0/2.0], [4.0/3.0, -5.0/4.0], [6.0/5.0, -8.0/6.0]], 
+                         "dimensionless", 
+                         [[0.1 * 2.0**2, 0.2 * 3.0**2 / 2**4],
+                          [0.3 * 4.0**2 / 3.0**4, 0.4 * 5.0**2 / 4**4],
+                          [0.5 * 6.0**2 / 5**4, 0.6 * 8.0**2 / 6**4]])),
+        (2,
+         DescriptorArray("test", 
+                         [[2.0, 1.0], [2.0/3.0, 0.5], [2.0/5.0, 1.0/3.0]], 
+                         "dimensionless", 
+                         [[0.1 * 2.0**2, 0.2 / 2**2],
+                          [0.3 * 2**2 / 3**4, 0.4 * 2**2 / 4**4], 
+                          [0.5 * 2**2 / 5**4, 0.6 * 2**2 / 6**4]]))
+        ],
+        ids=["list", "number"])
+    def test_reverse_division_dimensionless(self, descriptor_dimensionless: DescriptorArray, test, expected):
+        # When Then
+        result = test / descriptor_dimensionless
+        # Expect
+        assert type(result) == DescriptorArray
+        assert np.allclose(result.value, expected.value)
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor_dimensionless.unit == 'dimensionless'
+    
+    @pytest.mark.parametrize("test", [
+        [[2.0, 3.0], [4.0, -5.0], [6.0, 0.0]], 
+        0.0,
+        DescriptorNumber("test", 0, "cm", 10),
+        DescriptorArray("test", 
+                        [[1.5, 0.0], [4.5, 6.0], [7.5, 9.0]], 
+                        "dimensionless", 
+                        [[0.225, 0.45], [0.675, 0.9], [1.125, 1.35]])],
+        ids=["list", "number", "DescriptorNumber", "DescriptorArray"])
+    def test_division_exception(self, descriptor_dimensionless: DescriptorArray, test):
+        # When Then
+        with pytest.raises(ZeroDivisionError):
+            descriptor_dimensionless / test
+        
+        # Also test reverse division where `self` is a DescriptorArray with a zero
+        zero_descriptor = DescriptorArray("test", 
+                                          [[1.5, 0.0], [4.5, 6.0], [7.5, 0.0]], 
+                                          "dimensionless", 
+                                          [[0.225, 0.45], [0.675, 0.9], [1.125, 1.35]])
+        with pytest.raises(ZeroDivisionError):
+            test / zero_descriptor
+        
+    @pytest.mark.parametrize("test, expected", [
+        (DescriptorNumber("test", 2, "dimensionless"),
+         DescriptorArray("test ** name", 
+                         [[1.0, 4.0], [9.0, 16.0]], 
+                         "m^2", 
+                         [[4 * 0.1 * 1, 4 * 0.2 * 2**2],
+                          [4 * 0.3 * 3**2, 4 * 0.4 * 4**2]])),
+        (DescriptorNumber("test", 3, "dimensionless"),
+         DescriptorArray("test ** name", 
+                         [[1.0, 8.0], [27, 64.0]], 
+                         "m^3", 
+                         [[9 * 0.1, 9 * 0.2 * 2**4],
+                          [9 * 0.3 * 3**4, 9 * 0.4 * 4**4]])),
+        (DescriptorNumber("test", 0.0, "dimensionless"),
+         DescriptorArray("test ** name", 
+                         [[1.0, 1.0], [1.0, 1.0]], 
+                         "dimensionless", 
+                         [[0.0, 0.0], [0.0, 0.0]])),
+        (0.0,
+         DescriptorArray("test ** name", 
+                         [[1.0, 1.0], [1.0, 1.0]], 
+                         "dimensionless", 
+                         [[0.0, 0.0], [0.0, 0.0]]))
+         ],
+        ids=["descriptor_number_squared",
+             "descriptor_number_cubed",
+             "descriptor_number_zero",
+             "number_zero"])
+    def test_power(self, descriptor: DescriptorArray, test, expected):
+        # When Then
+        result = descriptor ** test
+        # Expect
+        assert type(result) == DescriptorArray
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor.unit == 'm'
+
+    @pytest.mark.parametrize("test, expected", [
+        (DescriptorNumber("test", 0.1, "dimensionless"),
+         DescriptorArray("test ** name", 
+                         [[1, 2**0.1], [3**0.1, 4**0.1], [5**0.1, 6**0.1]], 
+                         "dimensionless", 
+                         [[0.1**2 * 0.1 * 1, 0.1**2 * 0.2 * 2**(-1.8)],
+                          [0.1**2 * 0.3 * 3**(-1.8), 0.1**2 * 0.4 * 4**(-1.8)],
+                          [0.1**2 * 0.5 * 5**(-1.8), 0.1**2 * 0.6 * 6**(-1.8)]])),
+        (DescriptorNumber("test", 2.0, "dimensionless"),
+         DescriptorArray("test ** name", 
+                         [[1.0, 4.0], [9.0, 16.0], [25.0, 36.0]], 
+                         "dimensionless", 
+                         [[0.4, 3.2], [10.8, 25.6], [50., 86.4]])),
+        ],
+        ids=["descriptor_number_fractional", "descriptor_number_integer"])
+    def test_power_dimensionless(self, descriptor_dimensionless: DescriptorArray, test, expected):
+        # When Then
+        result = descriptor_dimensionless ** test
+        # Expect
+        assert type(result) == DescriptorArray
+        assert result.name == result.unique_name
+        assert np.allclose(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor_dimensionless.unit == 'dimensionless'
+    
+    @pytest.mark.parametrize("test, exception", [
+        (DescriptorNumber("test", 2, "m"), UnitError),
+        (DescriptorNumber("test", 2, "dimensionless", 10), ValueError),
+        (DescriptorNumber("test", np.nan, "dimensionless"), UnitError),
+        (DescriptorNumber("test", np.nan, "dimensionless"), UnitError),
+        (DescriptorNumber("test", 1.5, "dimensionless"), UnitError),
+        (DescriptorNumber("test", 0.5, "dimensionless"), UnitError)  # Square roots are not legal
+        ],
+        ids=["units",
+             "variance",
+             "scipp_nan",
+             "nan_result",
+             "non_integer_exponent_on_units",
+             "square_root_on_units"
+             ])
+    def test_power_exception(self, descriptor: DescriptorArray, test, exception):
+        # When Then
+        with pytest.raises(exception):
+            result = descriptor ** 2 ** test
+        with pytest.raises(ValueError):
+            # Exponentiation with an array does not make sense
+            test ** descriptor  
+
+    @pytest.mark.parametrize("test", [
+        DescriptorNumber("test", 2, "s"),
+        DescriptorArray("test", [[1, 2], [3, 4]], "s")], ids=["add_array_to_unit", "incompatible_units"])
+    def test_addition_exception(self, descriptor: DescriptorArray, test):
+        # When Then Expect
+        with pytest.raises(UnitError):
+            result = descriptor + test
+        with pytest.raises(UnitError):
+            result_reverse = test + descriptor
+    
+    @pytest.mark.parametrize("test", [
+        DescriptorNumber("test", 2, "s"),
+        DescriptorArray("test", [[1, 2], [3, 4]], "s")], ids=["add_array_to_unit", "incompatible_units"])
+    def test_sub_exception(self, descriptor: DescriptorArray, test):
+        # When Then Expect
+        with pytest.raises(UnitError):
+            result = descriptor - test
+        with pytest.raises(UnitError):
+            result_reverse = test - descriptor
+    
+    @pytest.mark.parametrize("function", [
+            np.sin,
+            np.cos,
+            np.exp,
+            np.add,
+            np.multiply
+        ],
+        ids=["sin", "cos", "exp", "add", "multiply"])
+    def test_numpy_ufuncs_exception(self, descriptor_dimensionless, function):
+        (np.add,np.array([[2.0, 3.0], [4.0, -5.0], [6.0, -8.0]])),
+        """
+        Not implemented ufuncs should return NotImplemented.
+        """
+        test = np.array([[1, 2], [3, 4]])
+        with pytest.raises(TypeError) as e:
+            function(descriptor_dimensionless, test)
+        assert 'returned NotImplemented from' in str(e)
+    
+    def test_negation(self, descriptor):
+        # When 
+        # Then
+        result = -descriptor
+
+        # Expect
+        expected = DescriptorArray(
+            name="name",
+            value=[[-1., -2.], [-3., -4.]],
+            unit="m",
+            variance=[[0.1, 0.2], [0.3, 0.4]],
+            description="description",
+            url="url",
+            display_name="display_name",
+            parent=None,
+        )
+        assert type(result) == DescriptorArray
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.allclose(result.variance, expected.variance)
+        assert descriptor.unit == 'm'
+
+    def test_abs(self, descriptor):
+        # When 
+        negated = DescriptorArray(
+            name="name",
+            value=[[-1., -2.], [-3., -4.]],
+            unit="m",
+            variance=[[0.1, 0.2], [0.3, 0.4]],
+            description="description",
+            url="url",
+            display_name="display_name",
+            parent=None,
+        )
+
+        # Then
+        result = abs(negated)
+
+        # Expect
+        assert type(result) == DescriptorArray
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value, descriptor.value)
+        assert result.unit == descriptor.unit
+        assert np.allclose(result.variance, descriptor.variance)
+        assert descriptor.unit == 'm'
+
+    @pytest.mark.parametrize("test, expected", [
+        (DescriptorArray("test + name", 
+                         [[3.0, 4.0], [5.0, 6.0]], 
+                         "m", 
+                         [[0.11, 0.21], [0.31, 0.41]]),
+         DescriptorNumber("test", 9, "m", 0.52)),
+        (DescriptorArray("test + name", 
+                         [[101.0, 201.0], [301.0, 401.0]], 
+                         "dimensionless", 
+                         [[1010.0, 2010.0], [3010.0, 4010.0]]),
+         DescriptorNumber("test", 502.0, "dimensionless", 5020.0)),
+        (DescriptorArray("test", np.ones((9, 9)), "dimensionless", np.ones((9, 9))),
+         DescriptorNumber("test", 9.0, "dimensionless", 9.0)),
+        (DescriptorArray("test", np.ones((3, 3, 3)), "dimensionless", np.ones((3, 3, 3))),
+         DescriptorArray("test", [3., 3., 3.], "dimensionless", [3., 3., 3.,], dimensions=['dim2'])),
+        (DescriptorArray("test", [[2.0]], "dimensionless"),
+         DescriptorNumber("test", 2.0, "dimensionless"))
+         ],
+        ids=["2d_unit", "2d_dimensionless", "2d_large", "3d_dimensionless", "1d_dimensionless"])
+    def test_trace(self, test: DescriptorArray, expected: DescriptorNumber):
+        result = test.trace()
+        assert type(result) == type(expected)
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value, expected.value)
+        assert result.unit == expected.unit
+        if test.variance is not None:
+            assert np.allclose(result.variance, expected.variance)
+        if isinstance(expected, DescriptorArray):
+            assert np.all(result.full_value.dims == expected.full_value.dims)
+    
+    @pytest.mark.parametrize("test, expected, dimensions", [
+        (DescriptorArray("test", np.ones((3, 3, 4, 5)), "dimensionless", np.ones((3, 3, 4, 5))),
+         DescriptorArray("test", 3*np.ones((3, 4)), "dimensionless", 3*np.ones((3, 4)), dimensions=['dim0', 'dim2']),
+         ('dim1', 'dim3'))
+         ],
+        ids=["4d"])
+    def test_trace_select_dimensions(self, test: DescriptorArray, expected: DescriptorNumber, dimensions):
+        result = test.trace(dimension1=dimensions[0], dimension2=dimensions[1])
+        assert type(result) == type(expected)
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value.shape, expected.value.shape)
+        assert np.array_equal(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.all(result.full_value.dims == expected.full_value.dims)
+    
+    @pytest.mark.parametrize("test,dimensions,message", [
+        (DescriptorArray("test", np.ones((3, 3, 3)), "dimensionless", np.ones((3, 3, 3))),
+         ('dim0', None),
+         "Either both or none"
+         ),
+        (DescriptorArray("test", np.ones((3, 3, 3)), "dimensionless", np.ones((3, 3, 3))),
+         ('dim0', 'dim0'),
+         "must be different"
+         ),
+        (DescriptorArray("test", np.ones((3, 3, 3)), "dimensionless", np.ones((3, 3, 3))),
+         ('dim0', 'dim1337'),
+         "does not exist"
+         ),
+         ],
+        ids=["one_defined_dimension", "same_dimension", "invalid_dimension"])
+    def test_trace_exception(self, test: DescriptorArray, dimensions, message):
+        with pytest.raises(ValueError) as e:
+            test.trace(dimension1=dimensions[0], dimension2=dimensions[1])
+        assert message in str(e)
+    
+    def test_slicing(self, descriptor: DescriptorArray):
+        # When
+        first_value = descriptor['dim0', 0]
+        last_value = descriptor['dim0', -1]
+        second_array = descriptor['dim1', :]
+
+        # Then
+        assert type(first_value) == DescriptorArray
+        assert type(last_value) == DescriptorArray
+        assert type(second_array) == DescriptorArray
+
+        assert first_value.name != descriptor.unique_name
+        assert last_value.name != descriptor.unique_name
+        assert second_array.name != descriptor.unique_name
+        
+        assert np.array_equal(first_value.full_value.values, descriptor.full_value['dim0', 0].values)
+        assert np.array_equal(last_value.full_value.values, descriptor.full_value['dim0', -1].values)
+        assert np.array_equal(second_array.full_value.values, descriptor.full_value['dim1', :].values)
+        
+        assert np.array_equal(first_value.full_value.variances, descriptor.full_value['dim0', 0].variances)
+        assert np.array_equal(last_value.full_value.variances, descriptor.full_value['dim0', -1].variances)
+        assert np.array_equal(second_array.full_value.variances, descriptor.full_value['dim1', :].variances)
+
+        assert np.array_equal(first_value.full_value.unit, descriptor.unit)
+        assert np.array_equal(last_value.full_value.unit, descriptor.unit)
+        assert np.array_equal(second_array.full_value.unit, descriptor.unit)
+    
+    def test_slice_deletion(self, descriptor: DescriptorArray):
+        with pytest.raises(AttributeError) as e:
+            del descriptor['dim0', 0]
+        assert 'has no attribute' in str(e)
+    
+    @pytest.mark.parametrize("test", [
+            1.0,
+            [3.0, 4.0, 5.0] 
+         ],
+        ids=["number", "list"])
+    def test_slice_assignment_exception(self, descriptor_dimensionless: DescriptorArray, test):
+        # When
+        with pytest.raises(AttributeError) as e:
+            descriptor_dimensionless['dim0', :] = test
+        assert "cannot be edited via slicing" in str(e)
+
+    @pytest.mark.parametrize("test, expected", [
+        (DescriptorArray("test + name", 
+                         [[3.0, 4.0], [5.0, 6.0]], 
+                         "m", 
+                         [[0.11, 0.21], [0.31, 0.41]]),
+         DescriptorNumber("test", 18, "m", 1.04)),
+        (DescriptorArray("test + name", 
+                         [[101.0, 201.0], [301.0, 401.0]], 
+                         "cm", 
+                         [[1010.0, 2010.0], [3010.0, 4010.0]]),
+         DescriptorNumber("test", 1004.0, "cm", 10040.)),
+        (DescriptorArray("test", 
+                         [[2.0, 3.0]], 
+                         "dimensionless", 
+                         [[1.0, 2.0]]),
+         DescriptorNumber("test", 5.0, "dimensionless", 3.0)),
+        (DescriptorArray("test", 
+                         [[2.0, 3.0]], 
+                         "dimensionless"),
+         DescriptorNumber("test", 5.0, "dimensionless")),
+         ],
+        ids=["descriptor_array_m", "d=descriptor_array_cm", "descriptor_array_dimensionless", "descriptor_array_dim_varless"])
+    def test_sum(self, test, expected):
+        result = test.sum()
+        assert type(result) == DescriptorNumber
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value, expected.value)
+        assert result.unit == expected.unit
+        if test.variance is not None:
+            assert np.allclose(result.variance, expected.variance)
+
+    @pytest.mark.parametrize("expected, dim", [
+        (DescriptorArray("test", 
+                         [4.0, 6.0], 
+                         "m", 
+                         [0.4, 0.6]),
+         'dim0'),
+        (DescriptorArray("test", 
+                         [3.0, 7.0], 
+                         "m", 
+                         [0.3, 0.7]),
+         'dim1'),
+         ],
+        ids=["descriptor_array_dim0", "descriptor_array_dim1"])
+    def test_sum_over_subset(self, descriptor, expected, dim):
+        result = descriptor.sum(dim)
+        assert type(result) == type(expected)
+        assert result.name == result.unique_name
+        assert np.array_equal(result.value, expected.value)
+        assert result.unit == expected.unit
+        assert np.allclose(result.variance, expected.variance)
+
+    @pytest.mark.parametrize("test, dimensions", [
+         (DescriptorArray("test", [1.], "dimensionless", [1.]), ['dim0']),
+         (DescriptorArray("test", [[1., 1.]], "dimensionless", [[1., 1.]]), ['dim0', 'dim1']),
+         (DescriptorArray("test", [[1.], [1.]], "dimensionless", [[1.], [1.]]), ['dim0', 'dim1']),
+         (DescriptorArray("test", [[[1., 1., 1.]]], "dimensionless", [[[1., 1., 1.]]]), ['dim0', 'dim1', 'dim2']),
+         (DescriptorArray("test", [[[1.]], [[1.]], [[1.]]], "dimensionless", [[[1.]], [[1.]], [[1.]]]), ['dim0', 'dim1', 'dim2']),
+        ],
+        ids=["1x1", "1x2", "2x1", "1x3", "3x1"])
+    def test_array_generate_dimensions(self, test, dimensions):
+        assert test.dimensions == dimensions
+
+    def test_array_set_dimensions_exception(self, descriptor):
+        with pytest.raises(ValueError) as e:
+            descriptor.dimensions = ['too_few']
+        assert "must have the same shape"
+        with pytest.raises(ValueError) as e:
+            DescriptorArray("test", [[1.]], "m", [[1.]], dimensions=['dim'])
+        assert "Length of dimensions" in str(e)
+
+    def test_array_set_integer_value(self, descriptor):
+        """
+        Scipp does not convert ints to floats, but values need to be floats for optimization.
+        """
+        # When
+        descriptor.value = [[1, 2], [3, 4]]
+        # Then Expect
+        assert isinstance(descriptor.value[0][0], float)
+
+    def test_array_set_integer_variance(self, descriptor):
+        # When
+        descriptor.variance = [[1, 2], [3, 4]]
+        # Then Expect
+        assert isinstance(descriptor.variance[0][0], float)
+    
+    def test_array_create_with_mixed_integers_and_floats(self):
+        # When
+        value = [[1, 2], [3, 4]]
+        variance = [[0.1, 0.2], [0.3, 0.4]]
+        # Then Expect
+        descriptor = DescriptorArray('test', value, 'dimensionless', variance)  # Should not raise
+        assert isinstance(descriptor.value[0][0], float)
+        assert isinstance(descriptor.variance[0][0], float)
+    
+    def test_array_set_dims(self, descriptor):
+        # When
+        descriptor.dimensions = ['x', 'y']
+        # Then Expect
+        assert descriptor.dimensions[0] == 'x'
+        assert descriptor.dimensions[1] == 'y'
+        assert descriptor.full_value.dims[0] == 'x'
+        assert descriptor.full_value.dims[1] == 'y'
diff --git a/tests/unit_tests/variable/test_descriptor_base.py b/tests/unit_tests/variable/test_descriptor_base.py
new file mode 100644
index 00000000..aeeb823e
--- /dev/null
+++ b/tests/unit_tests/variable/test_descriptor_base.py
@@ -0,0 +1,166 @@
+import pytest
+
+from easyscience import global_object
+from easyscience.variable.descriptor_base import DescriptorBase
+
+
+class TestDesciptorBase:
+    @pytest.fixture
+    def descriptor(self):
+        # This avoids the error: TypeError: Can't instantiate abstract class DescriptorBase with abstract methods __init__
+        DescriptorBase.__abstractmethods__ = set()
+        DescriptorBase.__repr__ = lambda x: "DescriptorBase"
+        self.objs_before_new_descriptor = len(global_object.map.created_objs)
+        descriptor = DescriptorBase(
+            name="name",
+            description="description",
+            url="url",
+            display_name="display_name",
+            parent=None,
+        )
+        return descriptor
+
+    @pytest.fixture
+    def clear(self):
+        global_object.map._clear()
+
+    @pytest.mark.parametrize("name", [1, True, 1.0, [], {}, (), None, object()], ids=["int", "bool", "float", "list", "dict", "tuple", "None", "object"])
+    def test_init_name_type_error(self, name):
+        # When Then
+        with pytest.raises(TypeError):
+            DescriptorBase(name=name, description="description", url="url", display_name="display_name", parent=None)
+        
+    @pytest.mark.parametrize("display_name", [1, True, 1.0, [], {}, (), object()], ids=["int", "bool", "float", "list", "dict", "tuple", "object"])
+    def test_init_display_name_type_error(self, display_name):
+        # When Then
+        with pytest.raises(TypeError):
+            DescriptorBase(name="name", description="description", url="url", display_name=display_name, parent=None)
+
+    @pytest.mark.parametrize("description", [1, True, 1.0, [], {}, (), object()], ids=["int", "bool", "float", "list", "dict", "tuple", "object"])
+    def test_init_description_type_error(self, description):
+        # When Then
+        with pytest.raises(TypeError):
+            DescriptorBase(name="name", description=description, url="url", display_name="display_name", parent=None)
+
+    @pytest.mark.parametrize("url", [1, True, 1.0, [], {}, (), object()], ids=["int", "bool", "float", "list", "dict", "tuple", "object"])
+    def test_init_url_type_error(self, url):
+        # When Then
+        with pytest.raises(TypeError):
+            DescriptorBase(name="name", description="description", url=url, display_name="display_name", parent=None)
+
+    def test_init(self, descriptor: DescriptorBase):
+        assert descriptor._name == "name"
+        assert descriptor._description == "description"
+        assert descriptor._url == "url"
+        assert descriptor._display_name == "display_name"
+        assert len(global_object.map.created_objs) - self.objs_before_new_descriptor == 1
+
+
+    def test_display_name(self, descriptor: DescriptorBase):
+        # When Then Expect
+        assert descriptor.display_name == "display_name"
+
+    def test_display_name_none(self, descriptor: DescriptorBase):
+        # When 
+        descriptor._display_name = None
+        # Then Expect
+        assert descriptor.display_name == "name"
+    
+    def test_display_name_setter(self, descriptor: DescriptorBase):
+        # When
+        descriptor.display_name = "new_display_name"
+        # Then Expect
+        assert descriptor.display_name == "new_display_name"
+
+    @pytest.mark.parametrize("display_name", [1, True, 1.0, [], {}, (), object()], ids=["int", "bool", "float", "list", "dict", "tuple", "object"])
+    def test_display_name_setter_type_error(self, descriptor: DescriptorBase, display_name):
+        # When Then
+        with pytest.raises(TypeError):
+            descriptor.display_name = display_name
+
+    def test_name_setter(self, descriptor: DescriptorBase):
+        # When
+        descriptor.name = "new_name"
+        # Then Expect
+        assert descriptor.name == "new_name"
+
+    @pytest.mark.parametrize("name", [1, True, 1.0, [], {}, (), object(), None], ids=["int", "bool", "float", "list", "dict", "tuple", "object", "None"])
+    def test_name_setter_type_error(self, descriptor: DescriptorBase, name):
+        # When Then
+        with pytest.raises(TypeError):
+            descriptor.name = name
+
+    def test_description_setter(self, descriptor: DescriptorBase):
+        # When
+        descriptor.description = "new_description"
+        # Then Expect
+        assert descriptor.description == "new_description"
+
+    @pytest.mark.parametrize("description", [1, True, 1.0, [], {}, (), object()], ids=["int", "bool", "float", "list", "dict", "tuple", "object"])
+    def test_description_setter_type_error(self, descriptor: DescriptorBase, description):
+        # When Then
+        with pytest.raises(TypeError):
+            descriptor.description = description
+
+    def test_url_setter(self, descriptor: DescriptorBase):
+        # When
+        descriptor.url = "new_url"
+        # Then Expect
+        assert descriptor.url == "new_url"
+
+    @pytest.mark.parametrize("url", [1, True, 1.0, [], {}, (), object()], ids=["int", "bool", "float", "list", "dict", "tuple", "object"])
+    def test_url_setter_type_error(self, descriptor: DescriptorBase, url):
+        # When Then
+        with pytest.raises(TypeError):
+            descriptor.url = url
+
+
+    @pytest.mark.parametrize("stack_enabled,stack_elements", [(False, 0), (True, 1)])
+    def test_set_display_name_without_global_object_stack(self, descriptor: DescriptorBase, stack_enabled, stack_elements):
+        # When
+        descriptor.__repr__ = lambda x: "DescriptorBase"
+        global_object.stack.clear()
+        global_object.stack._enabled = stack_enabled
+
+        # Then 
+        descriptor.display_name = "new_display_name" 
+
+        # Expect
+        assert descriptor.display_name == "new_display_name"
+        assert len(global_object.stack.history)  == stack_elements
+
+    def test_copy(self, descriptor: DescriptorBase):
+        # When Then
+        descriptor_copy = descriptor.__copy__()
+
+        # Expect
+        assert type(descriptor_copy) == DescriptorBase
+        assert descriptor_copy._name == descriptor._name
+        assert descriptor_copy._description == descriptor._description
+        assert descriptor_copy._url == descriptor._url
+        assert descriptor_copy._display_name == descriptor._display_name
+
+    def test_unique_name_generator(self, clear, descriptor: DescriptorBase):
+        # When
+        second_descriptor = DescriptorBase(name="test", unique_name="DescriptorBase_2")
+
+        # Then 
+        third_descriptor = DescriptorBase(name="test2")
+        fourth_descriptor = DescriptorBase(name="test3")
+        
+        # Expect
+        assert descriptor.unique_name == "DescriptorBase_0"
+        assert third_descriptor.unique_name == "DescriptorBase_3"
+        assert fourth_descriptor.unique_name == "DescriptorBase_4"
+
+    def test_unique_name_change(self, clear, descriptor: DescriptorBase):
+        # When Then
+        descriptor.unique_name = "test"
+        # Expect
+        assert descriptor.unique_name == "test"
+
+    @pytest.mark.parametrize("input", [2, 2.0, [2], {2}, None])
+    def test_unique_name_change_exception(self, input, descriptor: DescriptorBase):
+        # When Then Expect
+        with pytest.raises(TypeError):
+            descriptor.unique_name = input
\ No newline at end of file
diff --git a/tests/unit/variable/test_descriptor_bool.py b/tests/unit_tests/variable/test_descriptor_bool.py
similarity index 69%
rename from tests/unit/variable/test_descriptor_bool.py
rename to tests/unit_tests/variable/test_descriptor_bool.py
index 3c181f0e..4be20657 100644
--- a/tests/unit/variable/test_descriptor_bool.py
+++ b/tests/unit_tests/variable/test_descriptor_bool.py
@@ -1,25 +1,21 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 import pytest
 
-from easyscience import global_object
 from easyscience.variable import DescriptorBool
-
+from easyscience import global_object
 
 class TestDescriptorBool:
     @pytest.fixture
     def descriptor(self):
         descriptor = DescriptorBool(
-            name='name',
+            name="name",
             value=True,
-            description='description',
-            url='url',
-            display_name='display_name',
+            description="description",
+            url="url",
+            display_name="display_name",
             parent=None,
         )
         return descriptor
-
+    
     @pytest.fixture
     def clear(self):
         global_object.map._clear()
@@ -29,22 +25,22 @@ def test_init(self, descriptor: DescriptorBool):
         assert descriptor._bool_value == True
 
         # From super
-        assert descriptor._name == 'name'
-        assert descriptor._description == 'description'
-        assert descriptor._url == 'url'
-        assert descriptor._display_name == 'display_name'
+        assert descriptor._name == "name"
+        assert descriptor._description == "description"
+        assert descriptor._url == "url"
+        assert descriptor._display_name == "display_name"
 
-    @pytest.mark.parametrize('bool_value', ['string', 0, 1.0])
+    @pytest.mark.parametrize("bool_value", ["string", 0, 1.0])
     def test_init_bool_value_type_exception(self, bool_value):
 
         # When Then Expect
         with pytest.raises(ValueError):
             DescriptorBool(
-                name='name',
+                name="name",
                 value=bool_value,
-                description='description',
-                url='url',
-                display_name='display_name',
+                description="description",
+                url="url",
+                display_name="display_name",
                 parent=None,
             )
 
@@ -59,7 +55,7 @@ def test_set_value(self, descriptor: DescriptorBool):
         # Expect
         assert descriptor._bool_value == False
 
-    @pytest.mark.parametrize('bool_value', ['string', 0, 0.0])
+    @pytest.mark.parametrize("bool_value", ["string", 0, 0.0])
     def test_set_value_type_exception(self, descriptor: DescriptorBool, bool_value):
         # When Then Expect
         with pytest.raises(TypeError):
@@ -78,4 +74,4 @@ def test_copy(self, descriptor: DescriptorBool):
 
         # Expect
         assert type(descriptor_copy) == DescriptorBool
-        assert descriptor_copy._bool_value == descriptor._bool_value
+        assert descriptor_copy._bool_value == descriptor._bool_value
\ No newline at end of file
diff --git a/tests/unit/variable/test_descriptor_number.py b/tests/unit_tests/variable/test_descriptor_number.py
similarity index 58%
rename from tests/unit/variable/test_descriptor_number.py
rename to tests/unit_tests/variable/test_descriptor_number.py
index 6abd3029..5dc4e060 100644
--- a/tests/unit/variable/test_descriptor_number.py
+++ b/tests/unit_tests/variable/test_descriptor_number.py
@@ -1,25 +1,22 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 import pytest
+from unittest.mock import MagicMock
 import scipp as sc
 from scipp import UnitError
 
 from easyscience import DescriptorNumber
 from easyscience import global_object
 
-
 class TestDescriptorNumber:
     @pytest.fixture
     def descriptor(self):
         descriptor = DescriptorNumber(
-            name='name',
+            name="name",
             value=1,
-            unit='m',
+            unit="m",
             variance=0.1,
-            description='description',
-            url='url',
-            display_name='display_name',
+            description="description",
+            url="url",
+            display_name="display_name",
             parent=None,
         )
         return descriptor
@@ -31,79 +28,79 @@ def clear(self):
     def test_init(self, descriptor: DescriptorNumber):
         # When Then Expect
         assert descriptor._scalar.value == 1
-        assert descriptor._scalar.unit == 'm'
+        assert descriptor._scalar.unit == "m"
         assert descriptor._scalar.variance == 0.1
         assert descriptor._observers == []
 
         # From super
-        assert descriptor._name == 'name'
-        assert descriptor._description == 'description'
-        assert descriptor._url == 'url'
-        assert descriptor._display_name == 'display_name'
+        assert descriptor._name == "name"
+        assert descriptor._description == "description"
+        assert descriptor._url == "url"
+        assert descriptor._display_name == "display_name"
 
     def test_init_sc_unit(self):
         # When Then
         descriptor = DescriptorNumber(
-            name='name',
+            name="name",
             value=1,
-            unit=sc.units.Unit('m'),
+            unit=sc.units.Unit("m"),
             variance=0.1,
-            description='description',
-            url='url',
-            display_name='display_name',
+            description="description",
+            url="url",
+            display_name="display_name",
             parent=None,
         )
 
         # Expect
         assert descriptor._scalar.value == 1
-        assert descriptor._scalar.unit == 'm'
+        assert descriptor._scalar.unit == "m"
         assert descriptor._scalar.variance == 0.1
 
     def test_init_sc_unit_unknown(self):
         # When Then Expect
         with pytest.raises(UnitError):
             DescriptorNumber(
-                name='name',
+                name="name",
                 value=1,
-                unit='unknown',
+                unit="unknown",
                 variance=0.1,
-                description='description',
-                url='url',
-                display_name='display_name',
+                description="description",
+                url="url",
+                display_name="display_name",
                 parent=None,
             )
 
-    @pytest.mark.parametrize('value', [True, 'string'])
+    @pytest.mark.parametrize("value", [True, "string"])
     def test_init_value_type_exception(self, value):
-        # When
+        # When 
 
         # Then Expect
         with pytest.raises(TypeError):
             DescriptorNumber(
-                name='name',
+                name="name",
                 value=value,
-                unit='m',
+                unit="m",
                 variance=0.1,
-                description='description',
-                url='url',
-                display_name='display_name',
+                description="description",
+                url="url",
+                display_name="display_name",
                 parent=None,
             )
 
     def test_init_variance_exception(self):
-        # When
+        # When 
         variance = -1
 
         # Then Expect
         with pytest.raises(ValueError):
             DescriptorNumber(
-                name='name',
+                name="name",
                 value=1,
-                unit='m',
+                unit="m",
                 variance=variance,
-                description='description',
-                url='url',
-                display_name='display_name',
+                description="description",
+                url="url",
+                display_name="display_name",
                 parent=None,
             )
 
@@ -113,33 +110,23 @@ def test_from_scipp(self):
         full_value = sc.scalar(1, unit='m')
 
         # Then
-        descriptor = DescriptorNumber.from_scipp(name='name', full_value=full_value)
+        descriptor = DescriptorNumber.from_scipp(name="name", full_value=full_value)
 
         # Expect
         assert descriptor._scalar.value == 1
-        assert descriptor._scalar.unit == 'm'
+        assert descriptor._scalar.unit == "m"
         assert descriptor._scalar.variance == None
 
-    @pytest.mark.parametrize(
-        'full_value',
-        [
-            sc.array(values=[1, 2], dims=['x']),
-            sc.array(values=[[1], [2]], dims=['x', 'y']),
-            object(),
-            1,
-            'string',
-        ],
-        ids=['1D', '2D', 'object', 'int', 'string'],
-    )
+    @pytest.mark.parametrize("full_value", [sc.array(values=[1,2], dims=["x"]), sc.array(values=[[1], [2]], dims=["x","y"]), object(), 1, "string"], ids=["1D", "2D", "object", "int", "string"])
     def test_from_scipp_type_exception(self, full_value):
         # When Then Expect
         with pytest.raises(TypeError):
-            DescriptorNumber.from_scipp(name='name', full_value=full_value)
+            DescriptorNumber.from_scipp(name="name", full_value=full_value)
 
     def test_full_value(self, descriptor: DescriptorNumber):
         # When Then Expect
         assert descriptor.full_value == sc.scalar(1, unit='m')
-
+        
     def test_set_full_value(self, descriptor: DescriptorNumber):
         with pytest.raises(AttributeError):
             descriptor.full_value = sc.scalar(2, unit='s')
@@ -147,7 +134,7 @@ def test_set_full_value(self, descriptor: DescriptorNumber):
     def test_unit(self, descriptor: DescriptorNumber):
         # When Then Expect
         assert descriptor.unit == 'm'
-
+        
     def test_set_unit(self, descriptor: DescriptorNumber):
         with pytest.raises(AttributeError):
             descriptor.unit = 's'
@@ -164,7 +151,7 @@ def test_convert_unit(self, descriptor: DescriptorNumber):
     def test_variance(self, descriptor: DescriptorNumber):
         # When Then Expect
         assert descriptor.variance == 0.1
-
+        
     def test_set_variance(self, descriptor: DescriptorNumber):
         # When Then
         descriptor.variance = 0.2
@@ -176,7 +163,7 @@ def test_set_variance(self, descriptor: DescriptorNumber):
     def test_error(self, descriptor: DescriptorNumber):
         # When Then Expect
         assert descriptor.error == 0.31622776601683794
-
+        
     def test_set_error(self, descriptor: DescriptorNumber):
         # When Then
         descriptor.error = 0.31622776601683794
@@ -185,6 +172,7 @@ def test_set_error(self, descriptor: DescriptorNumber):
         assert descriptor.error == 0.31622776601683794
         assert descriptor.variance == 0.1
 
+
     def test_value(self, descriptor: DescriptorNumber):
         # When Then Expect
         assert descriptor.value == 1
@@ -201,7 +189,7 @@ def test_repr(self, descriptor: DescriptorNumber):
         repr_str = str(descriptor)
 
         # Expect
-        assert repr_str == "<DescriptorNumber 'name': 1.0000 ± 0.3162 m>"
+        assert repr_str ==  "<DescriptorNumber 'name': 1.0000 ± 0.3162 m>"
 
     def test_copy(self, descriptor: DescriptorNumber):
         # When Then
@@ -212,14 +200,14 @@ def test_copy(self, descriptor: DescriptorNumber):
         assert descriptor_copy._scalar.value == descriptor._scalar.value
         assert descriptor_copy._scalar.unit == descriptor._scalar.unit
 
-    @pytest.mark.parametrize(
-        'unit_string, expected',
-        [('1e+9', 'dimensionless'), ('1000', 'dimensionless'), ('10dm^2', 'm^2')],
-        ids=['scientific_notation', 'numbers', 'unit_prefix'],
-    )
+    @pytest.mark.parametrize("unit_string, expected", [
+        ("1e+9", "dimensionless"),
+        ("1000", "dimensionless"),
+        ("10dm^2", "m^2")],
+        ids=["scientific_notation", "numbers", "unit_prefix"])
     def test_base_unit(self, unit_string, expected):
         # When
-        descriptor = DescriptorNumber(name='name', value=1, unit=unit_string)
+        descriptor = DescriptorNumber(name="name", value=1, unit=unit_string)
 
         # Then
         base_unit = descriptor._base_unit()
@@ -227,25 +215,10 @@ def test_base_unit(self, unit_string, expected):
         # Expect
         assert base_unit == expected
 
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                DescriptorNumber(
-                    'test',
-                    2,
-                    'm',
-                    0.01,
-                ),
-                DescriptorNumber('test + name', 3, 'm', 0.11),
-            ),
-            (
-                DescriptorNumber('test', 2, 'cm', 0.01),
-                DescriptorNumber('test + name', 102, 'cm', 1000.01),
-            ),
-        ],
-        ids=['regular', 'unit_conversion'],
-    )
+    @pytest.mark.parametrize("test, expected", [
+        (DescriptorNumber("test", 2, "m", 0.01,),   DescriptorNumber("test + name", 3, "m", 0.11)),
+        (DescriptorNumber("test", 2, "cm", 0.01),   DescriptorNumber("test + name", 102, "cm", 1000.01))],
+        ids=["regular", "unit_conversion"])
     def test_addition(self, descriptor: DescriptorNumber, test, expected):
         # When Then
         result = test + descriptor
@@ -256,12 +229,12 @@ def test_addition(self, descriptor: DescriptorNumber, test, expected):
         assert result.value == expected.value
         assert result.unit == expected.unit
         assert result.variance == expected.variance
-
+        
         assert descriptor.unit == 'm'
 
     def test_addition_with_scalar(self):
-        # When
-        descriptor = DescriptorNumber(name='name', value=1, variance=0.1)
+        # When 
+        descriptor = DescriptorNumber(name="name", value=1, variance=0.1)
 
         # Then
         result = descriptor + 1.0
@@ -271,53 +244,27 @@ def test_addition_with_scalar(self):
         assert type(result) == DescriptorNumber
         assert result.name == result.unique_name
         assert result.value == 2.0
-        assert result.unit == 'dimensionless'
+        assert result.unit == "dimensionless"
         assert result.variance == 0.1
 
         assert type(result_reverse) == DescriptorNumber
         assert result_reverse.name == result_reverse.unique_name
         assert result_reverse.value == 2.0
-        assert result_reverse.unit == 'dimensionless'
+        assert result_reverse.unit == "dimensionless"
         assert result_reverse.variance == 0.1
 
-    @pytest.mark.parametrize(
-        'test',
-        [
-            1.0,
-            DescriptorNumber(
-                'test',
-                2,
-                's',
-            ),
-        ],
-        ids=['add_scalar_to_unit', 'incompatible_units'],
-    )
+    @pytest.mark.parametrize("test", [1.0, DescriptorNumber("test", 2, "s",)], ids=["add_scalar_to_unit", "incompatible_units"])
     def test_addition_exception(self, descriptor: DescriptorNumber, test):
         # When Then Expect
         with pytest.raises(UnitError):
             result = descriptor + test
         with pytest.raises(UnitError):
             result_reverse = test + descriptor
-
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                DescriptorNumber(
-                    'test',
-                    2,
-                    'm',
-                    0.01,
-                ),
-                DescriptorNumber('test - name', 1, 'm', 0.11),
-            ),
-            (
-                DescriptorNumber('test', 2, 'cm', 0.01),
-                DescriptorNumber('test - name', -98, 'cm', 1000.01),
-            ),
-        ],
-        ids=['regular', 'unit_conversion'],
-    )
+        
+    @pytest.mark.parametrize("test, expected", [
+        (DescriptorNumber("test", 2, "m", 0.01,),   DescriptorNumber("test - name", 1, "m", 0.11)),
+        (DescriptorNumber("test", 2, "cm", 0.01),   DescriptorNumber("test - name", -98, "cm", 1000.01))],
+        ids=["regular", "unit_conversion"])
     def test_subtraction(self, descriptor: DescriptorNumber, test, expected):
         # When Then
         result = test - descriptor
@@ -332,8 +279,8 @@ def test_subtraction(self, descriptor: DescriptorNumber, test, expected):
         assert descriptor.unit == 'm'
 
     def test_subtraction_with_scalar(self):
-        # When
-        descriptor = DescriptorNumber(name='name', value=2, variance=0.1)
+        # When 
+        descriptor = DescriptorNumber(name="name", value=2, variance=0.1)
 
         # Then
         result = descriptor - 1.0
@@ -343,27 +290,16 @@ def test_subtraction_with_scalar(self):
         assert type(result) == DescriptorNumber
         assert result.name == result.unique_name
         assert result.value == 1.0
-        assert result.unit == 'dimensionless'
+        assert result.unit == "dimensionless"
         assert result.variance == 0.1
 
         assert type(result_reverse) == DescriptorNumber
         assert result_reverse.name == result_reverse.unique_name
         assert result_reverse.value == -1.0
-        assert result_reverse.unit == 'dimensionless'
+        assert result_reverse.unit == "dimensionless"
         assert result_reverse.variance == 0.1
 
-    @pytest.mark.parametrize(
-        'test',
-        [
-            1.0,
-            DescriptorNumber(
-                'test',
-                2,
-                's',
-            ),
-        ],
-        ids=['sub_scalar_to_unit', 'incompatible_units'],
-    )
+    @pytest.mark.parametrize("test", [1.0, DescriptorNumber("test", 2, "s",)], ids=["sub_scalar_to_unit", "incompatible_units"])
     def test_subtraction_exception(self, descriptor: DescriptorNumber, test):
         # When Then Expect
         with pytest.raises(UnitError):
@@ -371,25 +307,10 @@ def test_subtraction_exception(self, descriptor: DescriptorNumber, test):
         with pytest.raises(UnitError):
             result_reverse = descriptor - test
 
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                DescriptorNumber(
-                    'test',
-                    2,
-                    'm',
-                    0.01,
-                ),
-                DescriptorNumber('test * name', 2, 'm^2', 0.41),
-            ),
-            (
-                DescriptorNumber('test', 2, 'dm', 0.01),
-                DescriptorNumber('test * name', 0.2, 'm^2', 0.0041),
-            ),
-        ],
-        ids=['regular', 'base_unit_conversion'],
-    )
+    @pytest.mark.parametrize("test, expected", [
+        (DescriptorNumber("test", 2, "m", 0.01,),   DescriptorNumber("test * name", 2, "m^2", 0.41)),
+        (DescriptorNumber("test", 2, "dm", 0.01),   DescriptorNumber("test * name", 0.2, "m^2", 0.0041))],
+        ids=["regular", "base_unit_conversion"])
     def test_multiplication(self, descriptor: DescriptorNumber, test, expected):
         # When Then
         result = test * descriptor
@@ -410,36 +331,19 @@ def test_multiplication_with_scalar(self, descriptor: DescriptorNumber):
         assert type(result) == DescriptorNumber
         assert result.name == result.unique_name
         assert result.value == 2.0
-        assert result.unit == 'm'
+        assert result.unit == "m"
         assert result.variance == 0.4
 
         assert type(result_reverse) == DescriptorNumber
         assert result_reverse.name == result_reverse.unique_name
         assert result_reverse.value == 2.0
-        assert result_reverse.unit == 'm'
+        assert result_reverse.unit == "m"
         assert result_reverse.variance == 0.4
 
-    @pytest.mark.parametrize(
-        'test, expected, expected_reverse',
-        [
-            (
-                DescriptorNumber(
-                    'test',
-                    2,
-                    'm^2',
-                    0.01,
-                ),
-                DescriptorNumber('name / test', 0.5, '1/m', 0.025625),
-                DescriptorNumber('test / name', 2, 'm', 0.41),
-            ),
-            (
-                2,
-                DescriptorNumber('name / 2', 0.5, 'm', 0.025),
-                DescriptorNumber('2 / name', 2, '1/m', 0.4),
-            ),
-        ],
-        ids=['descriptorNumber', 'scalar'],
-    )
+    @pytest.mark.parametrize("test, expected, expected_reverse", [
+        (DescriptorNumber("test", 2, "m^2", 0.01,),   DescriptorNumber("name / test", 0.5, "1/m", 0.025625), DescriptorNumber("test / name", 2, "m", 0.41)),
+        (2, DescriptorNumber("name / 2", 0.5, "m", 0.025), DescriptorNumber("2 / name", 2, "1/m", 0.4))],
+        ids=["descriptorNumber", "scalar"])
     def test_division(self, descriptor: DescriptorNumber, test, expected, expected_reverse):
         # When Then
         result = descriptor / test
@@ -458,40 +362,31 @@ def test_division(self, descriptor: DescriptorNumber, test, expected, expected_r
         assert result_reverse.unit == expected_reverse.unit
         assert result_reverse.variance == pytest.approx(expected_reverse.variance)
 
-    @pytest.mark.parametrize(
-        'test', [0, DescriptorNumber('test', 0, 'm', 0.01)], ids=['zero', 'zero_descriptor']
-    )
+    @pytest.mark.parametrize("test", [0, DescriptorNumber("test", 0, "m", 0.01)], ids=["zero", "zero_descriptor"])
     def test_division_exception(self, descriptor: DescriptorNumber, test):
         # When Then Expect
         with pytest.raises(ZeroDivisionError):
             result = descriptor / test
 
     def test_division_exception_reverse(self):
-        # When
-        descriptor = DescriptorNumber(name='name', value=0, variance=0.1)
+        # When 
+        descriptor = DescriptorNumber(name="name", value=0, variance=0.1)
 
         # Then Expect
         with pytest.raises(ZeroDivisionError):
             result = 2 / descriptor
 
-    @pytest.mark.parametrize(
-        'test, expected',
-        [
-            (
-                DescriptorNumber('test', 2),
-                DescriptorNumber('name ** test', 4, unit='m^2', variance=1.6),
-            ),
-            (2, DescriptorNumber('name ** 2', 4, unit='m^2', variance=1.6)),
-            (-2, DescriptorNumber('name ** -2', 0.25, unit='1/m^2', variance=0.00625)),
-        ],
-        ids=['descriptorNumber', 'scalar', 'negative_scalar'],
-    )
+    @pytest.mark.parametrize("test, expected", [
+        (DescriptorNumber("test", 2), DescriptorNumber("name ** test", 4, unit="m^2", variance=1.6)),
+        (2, DescriptorNumber("name ** 2", 4, unit="m^2", variance=1.6)),
+        (-2, DescriptorNumber("name ** -2", 0.25, unit="1/m^2", variance=0.00625))],
+        ids=["descriptorNumber", "scalar", "negative_scalar"])
     def test_power_of_descriptor(self, test, expected):
-        # When
-        descriptor = DescriptorNumber(name='name', value=2, unit='m', variance=0.1)
+        # When 
+        descriptor = DescriptorNumber(name="name", value=2, unit="m", variance=0.1) 
 
         # Then
-        result = descriptor**test
+        result = descriptor ** test
 
         # Expect
         assert type(result) == DescriptorNumber
@@ -501,65 +396,53 @@ def test_power_of_descriptor(self, test, expected):
         assert result.variance == expected.variance
 
     def test_power_of_dimensionless_descriptor(self):
-        # When
-        descriptor = DescriptorNumber(name='name', value=2, unit='dimensionless', variance=0.1)
+        # When 
+        descriptor = DescriptorNumber(name="name", value=2, unit="dimensionless", variance=0.1) 
 
         # Then
-        result = descriptor**0.5
+        result = descriptor ** 0.5
 
         # Expect
         assert type(result) == DescriptorNumber
         assert result.name == result.unique_name
         assert result.value == 1.4142135623730951
-        assert result.unit == 'dimensionless'
+        assert result.unit == "dimensionless"
         assert result.variance == pytest.approx(0.0125)
 
-    @pytest.mark.parametrize(
-        'descriptor, exponent, exception',
-        [
-            (DescriptorNumber('name', 2), DescriptorNumber('test', 2, unit='m'), UnitError),
-            (DescriptorNumber('name', 2), DescriptorNumber('test', 2, variance=0.1), ValueError),
-            (DescriptorNumber('name', 2, unit='m'), 0.5, UnitError),
-            (DescriptorNumber('name', -2), 0.5, ValueError),
-        ],
-        ids=[
-            'descriptor_unit',
-            'descriptor_variance',
-            'fractional_of_unit',
-            'fractonal_of_negative',
-        ],
-    )
+    @pytest.mark.parametrize("descriptor, exponent, exception", [
+        (DescriptorNumber("name", 2), DescriptorNumber("test", 2, unit="m"), UnitError),
+        (DescriptorNumber("name", 2), DescriptorNumber("test", 2, variance=0.1), ValueError),
+        (DescriptorNumber("name", 2, unit="m"), 0.5, UnitError),
+        (DescriptorNumber("name", -2), 0.5, ValueError)],
+        ids=["descriptor_unit", "descriptor_variance", "fractional_of_unit", "fractonal_of_negative"])
     def test_power_of_descriptor_exceptions(self, descriptor, exponent, exception):
         # When Then Expect
         with pytest.raises(exception):
-            result = descriptor**exponent
+            result = descriptor ** exponent
+
 
     def test_descriptor_as_exponentiation(self):
-        # When
-        descriptor = DescriptorNumber(name='name', value=2)
+        # When 
+        descriptor = DescriptorNumber(name="name", value=2) 
 
         # Then
-        result = 2**descriptor
+        result = 2 ** descriptor
 
         # Expect
         assert result == 4
 
-    @pytest.mark.parametrize(
-        'exponent, exception',
-        [
-            (DescriptorNumber('test', 2, unit='m'), UnitError),
-            (DescriptorNumber('test', 2, variance=0.1), ValueError),
-        ],
-        ids=['descriptor_unit', 'descriptor_variance'],
-    )
+    @pytest.mark.parametrize("exponent, exception", [
+        (DescriptorNumber("test", 2, unit="m"), UnitError),
+        (DescriptorNumber("test", 2, variance=0.1), ValueError)],
+        ids=["descriptor_unit", "descriptor_variance"])
     def test_descriptor_as_exponentiation_exception(self, exponent, exception):
         # When Then Expect
         with pytest.raises(exception):
-            result = 2**exponent
+            result = 2 ** exponent
 
     def test_negation(self):
-        # When
-        descriptor = DescriptorNumber(name='name', unit='m', value=2, variance=0.1)
+        # When 
+        descriptor = DescriptorNumber(name="name", unit="m", value=2, variance=0.1) 
 
         # Then
         result = -descriptor
@@ -568,12 +451,12 @@ def test_negation(self):
         assert type(result) == DescriptorNumber
         assert result.name == result.unique_name
         assert result.value == -2
-        assert result.unit == 'm'
+        assert result.unit == "m"
         assert result.variance == 0.1
 
     def test_abs(self):
-        # When
-        descriptor = DescriptorNumber(name='name', unit='m', value=-2, variance=0.1)
+        # When 
+        descriptor = DescriptorNumber(name="name", unit="m", value=-2, variance=0.1) 
 
         # Then
         result = abs(descriptor)
@@ -582,5 +465,5 @@ def test_abs(self):
         assert type(result) == DescriptorNumber
         assert result.name == result.unique_name
         assert result.value == 2
-        assert result.unit == 'm'
-        assert result.variance == 0.1
+        assert result.unit == "m"
+        assert result.variance == 0.1
\ No newline at end of file
diff --git a/tests/unit/variable/test_descriptor_str.py b/tests/unit_tests/variable/test_descriptor_str.py
similarity index 59%
rename from tests/unit/variable/test_descriptor_str.py
rename to tests/unit_tests/variable/test_descriptor_str.py
index 46acc847..aa593ed9 100644
--- a/tests/unit/variable/test_descriptor_str.py
+++ b/tests/unit_tests/variable/test_descriptor_str.py
@@ -1,64 +1,60 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
 import pytest
 
-from easyscience import global_object
 from easyscience.variable import DescriptorStr
-
+from easyscience import global_object
 
 class TestDescriptorStr:
     @pytest.fixture
     def descriptor(self):
         descriptor = DescriptorStr(
-            name='name',
-            value='string',
-            description='description',
-            url='url',
-            display_name='display_name',
+            name="name",
+            value="string",
+            description="description",
+            url="url",
+            display_name="display_name",
             parent=None,
         )
         return descriptor
-
+    
     @pytest.fixture
     def clear(self):
         global_object.map._clear()
 
     def test_init(self, descriptor: DescriptorStr):
         # When Then Expect
-        assert descriptor._string == 'string'
+        assert descriptor._string == "string"
 
         # From super
-        assert descriptor._name == 'name'
-        assert descriptor._description == 'description'
-        assert descriptor._url == 'url'
-        assert descriptor._display_name == 'display_name'
+        assert descriptor._name == "name"
+        assert descriptor._description == "description"
+        assert descriptor._url == "url"
+        assert descriptor._display_name == "display_name"
 
-    @pytest.mark.parametrize('string', [True, 0, 1.0])
+    @pytest.mark.parametrize("string", [True, 0, 1.0])
     def test_init_string_type_exception(self, string):
         # When Then Expect
         with pytest.raises(ValueError):
             DescriptorStr(
-                name='name',
+                name="name",
                 value=string,
-                description='description',
-                url='url',
-                display_name='display_name',
+                description="description",
+                url="url",
+                display_name="display_name",
                 parent=None,
             )
 
     def test_value(self, descriptor: DescriptorStr):
         # When Then Expect
-        assert descriptor.value == 'string'
+        assert descriptor.value == "string"
 
     def test_set_value(self, descriptor: DescriptorStr):
         # When Then
-        descriptor.value = 'new_string'
+        descriptor.value = "new_string"
 
         # Expect
-        assert descriptor._string == 'new_string'
+        assert descriptor._string == "new_string"
 
-    @pytest.mark.parametrize('string', [True, 0, 1.0])
+    @pytest.mark.parametrize("string", [True, 0, 1.0])
     def test_set_value_type_exception(self, descriptor: DescriptorStr, string):
         # When Then Expect
         with pytest.raises(ValueError):
@@ -77,4 +73,4 @@ def test_copy(self, descriptor: DescriptorStr):
 
         # Expect
         assert type(descriptor_copy) == DescriptorStr
-        assert descriptor_copy._string == descriptor._string
+        assert descriptor_copy._string == descriptor._string
\ No newline at end of file
diff --git a/tests/unit/variable/test_parameter.py b/tests/unit_tests/variable/test_parameter.py
similarity index 64%
rename from tests/unit/variable/test_parameter.py
rename to tests/unit_tests/variable/test_parameter.py
index 87c1ce4f..f2b756eb 100644
--- a/tests/unit/variable/test_parameter.py
+++ b/tests/unit_tests/variable/test_parameter.py
@@ -1,17 +1,14 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
-from unittest.mock import MagicMock
-
-import numpy as np
 import pytest
+from unittest.mock import MagicMock
 import scipp as sc
+import numpy as np
+
 from scipp import UnitError
 
-from easyscience import DescriptorNumber
-from easyscience import ObjBase
 from easyscience import Parameter
+from easyscience import DescriptorNumber
 from easyscience import global_object
+from easyscience import ObjBase
 
 
 class TestParameter:
@@ -19,15 +16,15 @@ class TestParameter:
     def parameter(self) -> Parameter:
         self.mock_callback = MagicMock()
         parameter = Parameter(
-            name='name',
+            name="name",
             value=1,
-            unit='m',
+            unit="m",
             variance=0.01,
             min=0,
             max=10,
-            description='description',
-            url='url',
-            display_name='display_name',
+            description="description",
+            url="url",
+            display_name="display_name",
             callback=self.mock_callback,
             parent=None,
         )
@@ -36,9 +33,9 @@ def parameter(self) -> Parameter:
     @pytest.fixture
     def normal_parameter(self) -> Parameter:
         parameter = Parameter(
-            name='name',
+            name="name",
             value=1,
-            unit='m',
+            unit="m",
             variance=0.01,
             min=0,
             max=10,
@@ -61,20 +58,20 @@ def compare_parameters(self, parameter1: Parameter, parameter2: Parameter):
     def test_init(self, parameter: Parameter):
         # When Then Expect
         assert parameter._min.value == 0
-        assert parameter._min.unit == 'm'
+        assert parameter._min.unit == "m"
         assert parameter._max.value == 10
-        assert parameter._max.unit == 'm'
+        assert parameter._max.unit == "m"
         assert parameter._callback == self.mock_callback
         assert parameter._independent == True
 
         # From super
         assert parameter._scalar.value == 1
-        assert parameter._scalar.unit == 'm'
+        assert parameter._scalar.unit == "m"
         assert parameter._scalar.variance == 0.01
-        assert parameter._name == 'name'
-        assert parameter._description == 'description'
-        assert parameter._url == 'url'
-        assert parameter._display_name == 'display_name'
+        assert parameter._name == "name"
+        assert parameter._description == "description"
+        assert parameter._url == "url"
+        assert parameter._display_name == "display_name"
         assert parameter._fixed == False
         assert parameter._observers == []
 
@@ -86,15 +83,15 @@ def test_init_value_min_exception(self):
         # Then Expect
         with pytest.raises(ValueError):
             Parameter(
-                name='name',
+                name="name",
                 value=value,
-                unit='m',
+                unit="m",
                 variance=0.01,
                 min=0,
                 max=10,
-                description='description',
-                url='url',
-                display_name='display_name',
+                description="description",
+                url="url",
+                display_name="display_name",
                 callback=mock_callback,
                 parent=None,
             )
@@ -107,15 +104,15 @@ def test_init_value_max_exception(self):
         # Then Expect
         with pytest.raises(ValueError):
             Parameter(
-                name='name',
+                name="name",
                 value=value,
-                unit='m',
+                unit="m",
                 variance=0.01,
                 min=0,
                 max=10,
-                description='description',
-                url='url',
-                display_name='display_name',
+                description="description",
+                url="url",
+                display_name="display_name",
                 callback=mock_callback,
                 parent=None,
             )
@@ -123,18 +120,18 @@ def test_init_value_max_exception(self):
     def test_make_dependent_on(self, normal_parameter: Parameter):
         # When
         independent_parameter = Parameter(
-            name='independent', value=1, unit='m', variance=0.01, min=0, max=10
+            name="independent", value=1, unit="m", variance=0.01, min=0, max=10
         )
 
         # Then
         normal_parameter.make_dependent_on(
-            dependency_expression='2*a', dependency_map={'a': independent_parameter}
+            dependency_expression="2*a", dependency_map={"a": independent_parameter}
         )
 
         # Expect
         assert normal_parameter._independent == False
-        assert normal_parameter.dependency_expression == '2*a'
-        assert normal_parameter.dependency_map == {'a': independent_parameter}
+        assert normal_parameter.dependency_expression == "2*a"
+        assert normal_parameter.dependency_map == {"a": independent_parameter}
         self.compare_parameters(normal_parameter, 2 * independent_parameter)
 
         # Then
@@ -149,95 +146,95 @@ def test_dependent_parameter_make_dependent_on_with_desired_unit(
     ):
         # When
         independent_parameter = Parameter(
-            name='independent', value=1, unit='m', variance=0.01, min=0, max=10
+            name="independent", value=1, unit="m", variance=0.01, min=0, max=10
         )
 
         # Then
         normal_parameter.make_dependent_on(
-            dependency_expression='2*a',
-            dependency_map={'a': independent_parameter},
-            desired_unit='cm',
+            dependency_expression="2*a",
+            dependency_map={"a": independent_parameter},
+            desired_unit="cm",
         )
 
         # Expect
         assert normal_parameter._independent == False
-        assert normal_parameter.dependency_expression == '2*a'
-        assert normal_parameter.dependency_map == {'a': independent_parameter}
+        assert normal_parameter.dependency_expression == "2*a"
+        assert normal_parameter.dependency_map == {"a": independent_parameter}
 
         assert normal_parameter.value == 200 * independent_parameter.value
-        assert normal_parameter.unit == 'cm'
+        assert normal_parameter.unit == "cm"
         assert (
             normal_parameter.variance == independent_parameter.variance * 4 * 10000
         )  # unit conversion from m to cm squared
         assert normal_parameter.min == 200 * independent_parameter.min
         assert normal_parameter.max == 200 * independent_parameter.max
-        assert normal_parameter._min.unit == 'cm'
-        assert normal_parameter._max.unit == 'cm'
+        assert normal_parameter._min.unit == "cm"
+        assert normal_parameter._max.unit == "cm"
 
         # Then
         independent_parameter.value = 2
 
         # Expect
         assert normal_parameter.value == 200 * independent_parameter.value
-        assert normal_parameter.unit == 'cm'
+        assert normal_parameter.unit == "cm"
         assert (
             normal_parameter.variance == independent_parameter.variance * 4 * 10000
         )  # unit conversion from m to cm squared
         assert normal_parameter.min == 200 * independent_parameter.min
         assert normal_parameter.max == 200 * independent_parameter.max
-        assert normal_parameter._min.unit == 'cm'
-        assert normal_parameter._max.unit == 'cm'
+        assert normal_parameter._min.unit == "cm"
+        assert normal_parameter._max.unit == "cm"
 
         # Then # Change the dependency expression and unit again
         normal_parameter.make_dependent_on(
-            dependency_expression='3*a',
-            dependency_map={'a': independent_parameter},
-            desired_unit='mm',
+            dependency_expression="3*a",
+            dependency_map={"a": independent_parameter},
+            desired_unit="mm",
         )
 
         # Expect
         assert normal_parameter._independent == False
-        assert normal_parameter.dependency_expression == '3*a'
-        assert normal_parameter.dependency_map == {'a': independent_parameter}
+        assert normal_parameter.dependency_expression == "3*a"
+        assert normal_parameter.dependency_map == {"a": independent_parameter}
 
         assert normal_parameter.value == 3000 * independent_parameter.value
-        assert normal_parameter.unit == 'mm'
+        assert normal_parameter.unit == "mm"
         assert (
             normal_parameter.variance == independent_parameter.variance * 9 * 1000000
         )  # unit conversion from m to mm squared
         assert normal_parameter.min == 3000 * independent_parameter.min
         assert normal_parameter.max == 3000 * independent_parameter.max
-        assert normal_parameter._min.unit == 'mm'
-        assert normal_parameter._max.unit == 'mm'
+        assert normal_parameter._min.unit == "mm"
+        assert normal_parameter._max.unit == "mm"
 
         # Then
         independent_parameter.value = 2
 
         # Expect
         assert normal_parameter.value == 3000 * independent_parameter.value
-        assert normal_parameter.unit == 'mm'
+        assert normal_parameter.unit == "mm"
         assert (
             normal_parameter.variance == independent_parameter.variance * 9 * 1000000
         )  # unit conversion from m to mm squared
         assert normal_parameter.min == 3000 * independent_parameter.min
         assert normal_parameter.max == 3000 * independent_parameter.max
-        assert normal_parameter._min.unit == 'mm'
-        assert normal_parameter._max.unit == 'mm'
+        assert normal_parameter._min.unit == "mm"
+        assert normal_parameter._max.unit == "mm"
 
     def test_dependent_parameter_make_dependent_on_with_desired_unit_incompatible_unit_raises(
         self, normal_parameter: Parameter
     ):
         # When
         independent_parameter = Parameter(
-            name='independent', value=1, unit='m', variance=0.01, min=0, max=10
+            name="independent", value=1, unit="m", variance=0.01, min=0, max=10
         )
 
         # Then Expect
-        with pytest.raises(UnitError, match='Failed to convert unit from m to s.'):
+        with pytest.raises(UnitError, match="Failed to convert unit from m to s."):
             normal_parameter.make_dependent_on(
-                dependency_expression='2*a',
-                dependency_map={'a': independent_parameter},
-                desired_unit='s',
+                dependency_expression="2*a",
+                dependency_map={"a": independent_parameter},
+                desired_unit="s",
             )
 
     def test_dependent_parameter_make_dependent_on_with_incorrect_unit_raises(
@@ -245,34 +242,34 @@ def test_dependent_parameter_make_dependent_on_with_incorrect_unit_raises(
     ):
         # When
         independent_parameter = Parameter(
-            name='independent', value=1, unit='m', variance=0.01, min=0, max=10
+            name="independent", value=1, unit="m", variance=0.01, min=0, max=10
         )
 
         # Then Expect
         with pytest.raises(
-            TypeError, match='`desired_unit` must be a string representing a valid unit'
+            TypeError, match="`desired_unit` must be a string representing a valid unit"
         ):
             normal_parameter.make_dependent_on(
-                dependency_expression='2*a',
-                dependency_map={'a': independent_parameter},
+                dependency_expression="2*a",
+                dependency_map={"a": independent_parameter},
                 desired_unit=123,
             )
 
     def test_parameter_from_dependency(self, normal_parameter: Parameter):
         # When Then
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
-            display_name='display_name',
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
+            display_name="display_name",
         )
 
         # Expect
         assert dependent_parameter._independent == False
-        assert dependent_parameter.dependency_expression == '2*a'
-        assert dependent_parameter.dependency_map == {'a': normal_parameter}
-        assert dependent_parameter.name == 'dependent'
-        assert dependent_parameter.display_name == 'display_name'
+        assert dependent_parameter.dependency_expression == "2*a"
+        assert dependent_parameter.dependency_map == {"a": normal_parameter}
+        assert dependent_parameter.name == "dependent"
+        assert dependent_parameter.display_name == "display_name"
         self.compare_parameters(dependent_parameter, 2 * normal_parameter)
 
         # Then
@@ -281,46 +278,48 @@ def test_parameter_from_dependency(self, normal_parameter: Parameter):
         # Expect
         self.compare_parameters(dependent_parameter, 2 * normal_parameter)
 
-    def test_parameter_from_dependency_with_desired_unit(self, normal_parameter: Parameter):
+    def test_parameter_from_dependency_with_desired_unit(
+        self, normal_parameter: Parameter
+    ):
         # When Then
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
-            display_name='display_name',
-            desired_unit='cm',
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
+            display_name="display_name",
+            desired_unit="cm",
         )
 
         # Expect
         assert dependent_parameter._independent == False
-        assert dependent_parameter.dependency_expression == '2*a'
-        assert dependent_parameter.dependency_map == {'a': normal_parameter}
-        assert dependent_parameter.name == 'dependent'
-        assert dependent_parameter.display_name == 'display_name'
+        assert dependent_parameter.dependency_expression == "2*a"
+        assert dependent_parameter.dependency_map == {"a": normal_parameter}
+        assert dependent_parameter.name == "dependent"
+        assert dependent_parameter.display_name == "display_name"
 
         assert dependent_parameter.value == 200 * normal_parameter.value
-        assert dependent_parameter.unit == 'cm'
+        assert dependent_parameter.unit == "cm"
         assert (
             dependent_parameter.variance == normal_parameter.variance * 4 * 10000
         )  # unit conversion from m to cm squared
         assert dependent_parameter.min == 200 * normal_parameter.min
         assert dependent_parameter.max == 200 * normal_parameter.max
-        assert dependent_parameter._min.unit == 'cm'
-        assert dependent_parameter._max.unit == 'cm'
+        assert dependent_parameter._min.unit == "cm"
+        assert dependent_parameter._max.unit == "cm"
 
         # Then
         normal_parameter.value = 2
 
         # Expect
         assert dependent_parameter.value == 200 * normal_parameter.value
-        assert dependent_parameter.unit == 'cm'
+        assert dependent_parameter.unit == "cm"
         assert (
             dependent_parameter.variance == normal_parameter.variance * 4 * 10000
         )  # unit conversion from m to cm squared
         assert dependent_parameter.min == 200 * normal_parameter.min
         assert dependent_parameter.max == 200 * normal_parameter.max
-        assert dependent_parameter._min.unit == 'cm'
-        assert dependent_parameter._max.unit == 'cm'
+        assert dependent_parameter._min.unit == "cm"
+        assert dependent_parameter._max.unit == "cm"
 
     def test_parameter_from_dependency_with_desired_unit_incompatible_unit_raises(
         self, normal_parameter: Parameter
@@ -328,23 +327,27 @@ def test_parameter_from_dependency_with_desired_unit_incompatible_unit_raises(
         # When Then Expect
         with pytest.raises(UnitError):
             dependent_parameter = Parameter.from_dependency(
-                name='dependent',
-                dependency_expression='2*a',
-                dependency_map={'a': normal_parameter},
-                display_name='display_name',
-                desired_unit='s',
+                name="dependent",
+                dependency_expression="2*a",
+                dependency_map={"a": normal_parameter},
+                display_name="display_name",
+                desired_unit="s",
             )
 
-    def test_dependent_parameter_with_unique_name(self, clear, normal_parameter: Parameter):
+    def test_dependent_parameter_with_unique_name(
+        self, clear, normal_parameter: Parameter
+    ):
         # When Then
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
+            name="dependent",
             dependency_expression='2*"Parameter_0"',
         )
 
         # Expect
         assert dependent_parameter.dependency_expression == '2*"Parameter_0"'
-        assert dependent_parameter.dependency_map == {'__Parameter_0__': normal_parameter}
+        assert dependent_parameter.dependency_map == {
+            "__Parameter_0__": normal_parameter
+        }
         self.compare_parameters(dependent_parameter, 2 * normal_parameter)
 
         # Then
@@ -358,44 +361,48 @@ def test_process_dependency_unique_names_double_quotes(
     ):
         # When
         independent_parameter = Parameter(
-            name='independent',
+            name="independent",
             value=1,
-            unit='m',
+            unit="m",
             variance=0.01,
             min=0,
             max=10,
-            unique_name='Special_name',
+            unique_name="Special_name",
         )
         normal_parameter._dependency_map = {}
 
         # Then
-        normal_parameter._process_dependency_unique_names(dependency_expression='2*"Special_name"')
+        normal_parameter._process_dependency_unique_names(
+            dependency_expression='2*"Special_name"'
+        )
 
         # Expect
-        assert normal_parameter._dependency_map == {'__Special_name__': independent_parameter}
-        assert normal_parameter._clean_dependency_string == '2*__Special_name__'
+        assert normal_parameter._dependency_map == {
+            "__Special_name__": independent_parameter
+        }
+        assert normal_parameter._clean_dependency_string == "2*__Special_name__"
 
     def test_process_dependency_unique_names_single_quotes(
         self, clear, normal_parameter: Parameter
     ):
         # When
         independent_parameter = Parameter(
-            name='independent',
+            name="independent",
             value=1,
-            unit='m',
+            unit="m",
             variance=0.01,
             min=0,
             max=10,
-            unique_name='Special_name',
+            unique_name="Special_name",
         )
         independent_parameter_2 = Parameter(
-            name='independent_2',
+            name="independent_2",
             value=1,
-            unit='m',
+            unit="m",
             variance=0.01,
             min=0,
             max=10,
-            unique_name='Special_name_2',
+            unique_name="Special_name_2",
         )
         normal_parameter._dependency_map = {}
 
@@ -406,10 +413,13 @@ def test_process_dependency_unique_names_single_quotes(
 
         # Expect
         assert normal_parameter._dependency_map == {
-            '__Special_name__': independent_parameter,
-            '__Special_name_2__': independent_parameter_2,
+            "__Special_name__": independent_parameter,
+            "__Special_name_2__": independent_parameter_2,
         }
-        assert normal_parameter._clean_dependency_string == '__Special_name__ + __Special_name_2__'
+        assert (
+            normal_parameter._clean_dependency_string
+            == "__Special_name__ + __Special_name_2__"
+        )
 
     def test_process_dependency_unique_names_exception_unique_name_does_not_exist(
         self, clear, normal_parameter: Parameter
@@ -420,7 +430,7 @@ def test_process_dependency_unique_names_exception_unique_name_does_not_exist(
         # Then Expect
         with pytest.raises(
             ValueError,
-            match='A Parameter with unique_name Special_name does not exist. Please check your dependency expression.',
+            match="A Parameter with unique_name Special_name does not exist. Please check your dependency expression.",
         ):
             normal_parameter._process_dependency_unique_names(
                 dependency_expression='2*"Special_name"'
@@ -431,28 +441,30 @@ def test_process_dependency_unique_names_exception_not_a_descriptorNumber(
     ):
         # When
         normal_parameter._dependency_map = {}
-        base_obj = ObjBase(name='ObjBase', unique_name='base_obj')
+        base_obj = ObjBase(name="ObjBase", unique_name="base_obj")
 
         # Then Expect
         with pytest.raises(
             ValueError,
-            match='The object with unique_name base_obj is not a Parameter or DescriptorNumber. Please check your dependency expression.',
+            match="The object with unique_name base_obj is not a Parameter or DescriptorNumber. Please check your dependency expression.",
         ):
-            normal_parameter._process_dependency_unique_names(dependency_expression='2*"base_obj"')
+            normal_parameter._process_dependency_unique_names(
+                dependency_expression='2*"base_obj"'
+            )
 
     @pytest.mark.parametrize(
-        'dependency_expression, dependency_map',
+        "dependency_expression, dependency_map",
         [
-            (2, {'a': Parameter(name='a', value=1)}),
-            ('2*a', ['a', Parameter(name='a', value=1)]),
-            ('2*a', {4: Parameter(name='a', value=1)}),
-            ('2*a', {'a': ObjBase(name='a')}),
+            (2, {"a": Parameter(name="a", value=1)}),
+            ("2*a", ["a", Parameter(name="a", value=1)]),
+            ("2*a", {4: Parameter(name="a", value=1)}),
+            ("2*a", {"a": ObjBase(name="a")}),
         ],
         ids=[
-            'dependency_expression_not_a_string',
-            'dependency_map_not_a_dict',
-            'dependency_map_keys_not_strings',
-            'dependency_map_values_not_descriptor_number',
+            "dependency_expression_not_a_string",
+            "dependency_map_not_a_dict",
+            "dependency_map_keys_not_strings",
+            "dependency_map_values_not_descriptor_number",
         ],
     )
     def test_parameter_from_dependency_input_exceptions(
@@ -461,48 +473,50 @@ def test_parameter_from_dependency_input_exceptions(
         # When Then Expect
         with pytest.raises(TypeError):
             Parameter.from_dependency(
-                name='dependent',
+                name="dependent",
                 dependency_expression=dependency_expression,
                 dependency_map=dependency_map,
             )
 
     @pytest.mark.parametrize(
-        'dependency_expression, error',
+        "dependency_expression, error",
         [
-            ('2*a + b', NameError),
-            ('2*a + 3*', SyntaxError),
-            ('2 + 2', TypeError),
+            ("2*a + b", NameError),
+            ("2*a + 3*", SyntaxError),
+            ("2 + 2", TypeError),
             ('2*"special_name"', ValueError),
         ],
         ids=[
-            'parameter_not_in_map',
-            'invalid_dependency_expression',
-            'result_not_a_descriptor_number',
-            'unique_name_does_not_exist',
+            "parameter_not_in_map",
+            "invalid_dependency_expression",
+            "result_not_a_descriptor_number",
+            "unique_name_does_not_exist",
         ],
     )
     def test_parameter_make_dependent_on_exceptions_cleanup_previously_dependent(
         self, normal_parameter, dependency_expression, error
     ):
         # When
-        independent_parameter = Parameter(name='independent', value=10, unit='s', variance=0.02)
+        independent_parameter = Parameter(
+            name="independent", value=10, unit="s", variance=0.02
+        )
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='best',
-            dependency_map={'best': independent_parameter},
+            name="dependent",
+            dependency_expression="best",
+            dependency_map={"best": independent_parameter},
         )
         # Then Expect
         # Check that the correct error is raised
         with pytest.raises(error):
             dependent_parameter.make_dependent_on(
                 dependency_expression=dependency_expression,
-                dependency_map={'a': normal_parameter},
+                dependency_map={"a": normal_parameter},
             )
         # Check that everything is properly cleaned up
         assert normal_parameter._observers == []
         assert dependent_parameter.independent == False
-        assert dependent_parameter.dependency_expression == 'best'
-        assert dependent_parameter.dependency_map == {'best': independent_parameter}
+        assert dependent_parameter.dependency_expression == "best"
+        assert dependent_parameter.dependency_map == {"best": independent_parameter}
         independent_parameter.value = 50
         self.compare_parameters(dependent_parameter, independent_parameter)
 
@@ -510,13 +524,15 @@ def test_parameter_make_dependent_on_exceptions_cleanup_previously_independent(
         self, normal_parameter
     ):
         # When
-        independent_parameter = Parameter(name='independent', value=10, unit='s', variance=0.02)
+        independent_parameter = Parameter(
+            name="independent", value=10, unit="s", variance=0.02
+        )
         # Then Expect
         # Check that the correct error is raised
         with pytest.raises(NameError):
             independent_parameter.make_dependent_on(
-                dependency_expression='2*a + b',
-                dependency_map={'a': normal_parameter},
+                dependency_expression="2*a + b",
+                dependency_map={"a": normal_parameter},
             )
         # Check that everything is properly cleaned up
         assert normal_parameter._observers == []
@@ -527,9 +543,9 @@ def test_parameter_make_dependent_on_exceptions_cleanup_previously_independent(
     def test_dependent_parameter_updates(self, normal_parameter: Parameter):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
 
         # Then Expect
@@ -542,7 +558,7 @@ def test_dependent_parameter_updates(self, normal_parameter: Parameter):
         normal_parameter.error = 0.2
         self.compare_parameters(dependent_parameter, 2 * normal_parameter)
 
-        normal_parameter.convert_unit('cm')
+        normal_parameter.convert_unit("cm")
         self.compare_parameters(dependent_parameter, 2 * normal_parameter)
 
         normal_parameter.min = 1
@@ -554,19 +570,19 @@ def test_dependent_parameter_updates(self, normal_parameter: Parameter):
     def test_dependent_parameter_indirect_updates(self, normal_parameter: Parameter):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
         dependent_parameter_2 = Parameter.from_dependency(
-            name='dependent_2',
-            dependency_expression='10*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent_2",
+            dependency_expression="10*a",
+            dependency_map={"a": normal_parameter},
         )
         dependent_parameter_3 = Parameter.from_dependency(
-            name='dependent_3',
-            dependency_expression='b+c',
-            dependency_map={'b': dependent_parameter, 'c': dependent_parameter_2},
+            name="dependent_3",
+            dependency_expression="b+c",
+            dependency_map={"b": dependent_parameter, "c": dependent_parameter_2},
         )
         # Then
         normal_parameter.value = 2
@@ -581,20 +597,20 @@ def test_dependent_parameter_indirect_updates(self, normal_parameter: Parameter)
     def test_dependent_parameter_cyclic_dependencies(self, normal_parameter: Parameter):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
         dependent_parameter_2 = Parameter.from_dependency(
-            name='dependent_2',
-            dependency_expression='2*b',
-            dependency_map={'b': dependent_parameter},
+            name="dependent_2",
+            dependency_expression="2*b",
+            dependency_map={"b": dependent_parameter},
         )
 
         # Then Expect
         with pytest.raises(RuntimeError):
             normal_parameter.make_dependent_on(
-                dependency_expression='2*c', dependency_map={'c': dependent_parameter_2}
+                dependency_expression="2*c", dependency_map={"c": dependent_parameter_2}
             )
         # Check that everything is properly cleaned up
         assert dependent_parameter_2._observers == []
@@ -606,9 +622,9 @@ def test_dependent_parameter_cyclic_dependencies(self, normal_parameter: Paramet
     def test_dependent_parameter_logical_dependency(self, normal_parameter: Parameter):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='a if a.value > 0 else -a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="a if a.value > 0 else -a",
+            dependency_map={"a": normal_parameter},
         )
         self.compare_parameters(dependent_parameter, normal_parameter)
 
@@ -620,13 +636,15 @@ def test_dependent_parameter_logical_dependency(self, normal_parameter: Paramete
 
     def test_dependent_parameter_return_is_descriptor_number(self):
         # When
-        descriptor_number = DescriptorNumber(name='descriptor', value=1, unit='m', variance=0.01)
+        descriptor_number = DescriptorNumber(
+            name="descriptor", value=1, unit="m", variance=0.01
+        )
 
         # Then
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*descriptor',
-            dependency_map={'descriptor': descriptor_number},
+            name="dependent",
+            dependency_expression="2*descriptor",
+            dependency_map={"descriptor": descriptor_number},
         )
 
         # Expect
@@ -644,18 +662,18 @@ def test_dependent_parameter_division_expression_order(self):
         would work correctly.
         """
         # When
-        angstrom = DescriptorNumber('angstrom', 1e-10, unit='m')
+        angstrom = DescriptorNumber("angstrom", 1e-10, unit="m")
         jump_length = Parameter(
-            name='jump_length',
+            name="jump_length",
             value=float(1.0),
             fixed=False,
-            unit='angstrom',
+            unit="angstrom",
         )
 
-        expression = 'jump_length / angstrom'
+        expression = "jump_length / angstrom"
         dependency_map = {
-            'jump_length': jump_length,
-            'angstrom': angstrom,
+            "jump_length": jump_length,
+            "angstrom": angstrom,
         }
 
         # Calculate the expected result from direct division
@@ -673,7 +691,7 @@ def test_dependent_parameter_division_expression_order(self):
         assert dependent_param.value == pytest.approx(expected_value)
 
         # Also test the alternative expression that previously worked
-        expression_alt = '1/angstrom * jump_length'
+        expression_alt = "1/angstrom * jump_length"
         dependent_param_alt = Parameter(name='b', value=1.0)
         dependent_param_alt.make_dependent_on(
             dependency_expression=expression_alt,
@@ -684,33 +702,33 @@ def test_dependent_parameter_division_expression_order(self):
     def test_dependent_parameter_overwrite_dependency(self, normal_parameter: Parameter):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
         self.compare_parameters(dependent_parameter, 2 * normal_parameter)
 
         # Then
         normal_parameter_2 = Parameter(
-            name='a2', value=-2, unit='m', variance=0.01, min=-10, max=0
+            name="a2", value=-2, unit="m", variance=0.01, min=-10, max=0
         )
         dependent_parameter.make_dependent_on(
-            dependency_expression='3*a2', dependency_map={'a2': normal_parameter_2}
+            dependency_expression="3*a2", dependency_map={"a2": normal_parameter_2}
         )
         normal_parameter.value = 3
 
         # Expect
         self.compare_parameters(dependent_parameter, 3 * normal_parameter_2)
-        assert dependent_parameter.dependency_expression == '3*a2'
-        assert dependent_parameter.dependency_map == {'a2': normal_parameter_2}
+        assert dependent_parameter.dependency_expression == "3*a2"
+        assert dependent_parameter.dependency_map == {"a2": normal_parameter_2}
         assert normal_parameter._observers == []
 
     def test_make_independent(self, normal_parameter: Parameter):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
         assert dependent_parameter.independent == False
         self.compare_parameters(dependent_parameter, 2 * normal_parameter)
@@ -734,39 +752,45 @@ def test_independent_setter(self, normal_parameter: Parameter):
         with pytest.raises(AttributeError):
             normal_parameter.independent = False
 
-    def test_independent_parameter_dependency_expression(self, normal_parameter: Parameter):
+    def test_independent_parameter_dependency_expression(
+        self, normal_parameter: Parameter
+    ):
         # When Then Expect
         with pytest.raises(AttributeError):
             normal_parameter.dependency_expression
 
-    def test_dependent_parameter_dependency_expression_setter(self, normal_parameter: Parameter):
+    def test_dependent_parameter_dependency_expression_setter(
+        self, normal_parameter: Parameter
+    ):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
 
         # Then Expect
         with pytest.raises(AttributeError):
-            dependent_parameter.dependency_expression = '3*a'
+            dependent_parameter.dependency_expression = "3*a"
 
     def test_independent_parameter_dependency_map(self, normal_parameter: Parameter):
         # When Then Expect
         with pytest.raises(AttributeError):
             normal_parameter.dependency_map
 
-    def test_dependent_parameter_dependency_map_setter(self, normal_parameter: Parameter):
+    def test_dependent_parameter_dependency_map_setter(
+        self, normal_parameter: Parameter
+    ):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
 
         # Then Expect
         with pytest.raises(AttributeError):
-            dependent_parameter.dependency_map = {'a': normal_parameter}
+            dependent_parameter.dependency_map = {"a": normal_parameter}
 
     def test_min(self, parameter: Parameter):
         # When Then Expect
@@ -784,9 +808,9 @@ def test_set_min(self, parameter: Parameter):
     def test_set_min_dependent_parameter(self, normal_parameter: Parameter):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
 
         # Then Expect
@@ -808,9 +832,9 @@ def test_set_max(self, parameter: Parameter):
     def test_set_max_dependent_parameter(self, normal_parameter: Parameter):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
 
         # Then Expect
@@ -824,107 +848,113 @@ def test_set_max_exception(self, parameter: Parameter):
 
     def test_convert_unit(self, parameter: Parameter):
         # When Then
-        parameter.convert_unit('mm')
+        parameter.convert_unit("mm")
 
         # Expect
         assert parameter._min.value == 0
-        assert parameter._min.unit == 'mm'
+        assert parameter._min.unit == "mm"
         assert parameter._max.value == 10000
-        assert parameter._max.unit == 'mm'
+        assert parameter._max.unit == "mm"
 
     def test_set_desired_unit(self, normal_parameter: Parameter):
         # When Then
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
-            display_name='display_name',
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
+            display_name="display_name",
         )
 
         # Then
-        dependent_parameter.set_desired_unit('cm')
+        dependent_parameter.set_desired_unit("cm")
 
         # Expect
 
         assert dependent_parameter.value == 200 * normal_parameter.value
-        assert dependent_parameter.unit == 'cm'
+        assert dependent_parameter.unit == "cm"
         assert (
             dependent_parameter.variance == normal_parameter.variance * 4 * 10000
         )  # unit conversion from m to cm squared
         assert dependent_parameter.min == 200 * normal_parameter.min
         assert dependent_parameter.max == 200 * normal_parameter.max
-        assert dependent_parameter._min.unit == 'cm'
-        assert dependent_parameter._max.unit == 'cm'
+        assert dependent_parameter._min.unit == "cm"
+        assert dependent_parameter._max.unit == "cm"
 
         # Then
         normal_parameter.value = 2
 
         # Expect
         assert dependent_parameter.value == 200 * normal_parameter.value
-        assert dependent_parameter.unit == 'cm'
+        assert dependent_parameter.unit == "cm"
         assert (
             dependent_parameter.variance == normal_parameter.variance * 4 * 10000
         )  # unit conversion from m to cm squared
         assert dependent_parameter.min == 200 * normal_parameter.min
         assert dependent_parameter.max == 200 * normal_parameter.max
-        assert dependent_parameter._min.unit == 'cm'
-        assert dependent_parameter._max.unit == 'cm'
+        assert dependent_parameter._min.unit == "cm"
+        assert dependent_parameter._max.unit == "cm"
 
-    def test_set_desired_unit_incompatible_units_raises(self, normal_parameter: Parameter):
+    def test_set_desired_unit_incompatible_units_raises(
+        self, normal_parameter: Parameter
+    ):
         # When Then
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
-            display_name='display_name',
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
+            display_name="display_name",
         )
 
         # Then Expect
         with pytest.raises(
             UnitError,
-            match='Failed to convert unit from m to s.',
+            match="Failed to convert unit from m to s.",
         ):
-            dependent_parameter.set_desired_unit('s')
+            dependent_parameter.set_desired_unit("s")
 
     def test_set_desired_unit_None(self, normal_parameter: Parameter):
         # When Then
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
-            display_name='display_name',
-            desired_unit='cm',
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
+            display_name="display_name",
+            desired_unit="cm",
         )
 
         # EXPECT
-        assert dependent_parameter.unit == 'cm'
+        assert dependent_parameter.unit == "cm"
 
         # Then
         dependent_parameter.set_desired_unit(None)
 
         # EXPECT
         assert dependent_parameter.value == 2 * normal_parameter.value
-        assert dependent_parameter.unit == 'm'
+        assert dependent_parameter.unit == "m"
 
-    def test_set_desired_unit_independent_parameter_raises(self, normal_parameter: Parameter):
+    def test_set_desired_unit_independent_parameter_raises(
+        self, normal_parameter: Parameter
+    ):
         # When Then Expect
         with pytest.raises(
             AttributeError,
-            match='This is an independent parameter, desired unit can only be set for dependent parameters.',
+            match="This is an independent parameter, desired unit can only be set for dependent parameters.",
         ):
-            normal_parameter.set_desired_unit('cm')
+            normal_parameter.set_desired_unit("cm")
 
-    def test_set_desired_unit_incorrect_unit_type_raises(self, normal_parameter: Parameter):
+    def test_set_desired_unit_incorrect_unit_type_raises(
+        self, normal_parameter: Parameter
+    ):
         # When Then
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
-            display_name='display_name',
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
+            display_name="display_name",
         )
 
         # Then Expect
-        with pytest.raises(TypeError, match='must be a string'):
+        with pytest.raises(TypeError, match="must be a string"):
             dependent_parameter.set_desired_unit(5)
 
     def test_set_fixed(self, parameter: Parameter):
@@ -937,16 +967,16 @@ def test_set_fixed(self, parameter: Parameter):
     def test_set_fixed_dependent_parameter(self, normal_parameter: Parameter):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
 
         # Then Expect
         with pytest.raises(AttributeError):
             dependent_parameter.fixed = True
 
-    @pytest.mark.parametrize('fixed', ['True', 1])
+    @pytest.mark.parametrize("fixed", ["True", 1])
     def test_set_fixed_exception(self, parameter: Parameter, fixed):
         # When Then Expect
         with pytest.raises(ValueError):
@@ -976,7 +1006,10 @@ def test_set_error_exception(self, parameter: Parameter):
 
     def test_repr(self, parameter: Parameter):
         # When Then Expect
-        assert repr(parameter) == "<Parameter 'name': 1.0000 ± 0.1000 m, bounds=[0.0:10.0]>"
+        assert (
+            repr(parameter)
+            == "<Parameter 'name': 1.0000 ± 0.1000 m, bounds=[0.0:10.0]>"
+        )
 
     def test_repr_fixed(self, parameter: Parameter):
         # When
@@ -984,7 +1017,8 @@ def test_repr_fixed(self, parameter: Parameter):
 
         # Then Expect
         assert (
-            repr(parameter) == "<Parameter 'name': 1.0000 ± 0.1000 m (fixed), bounds=[0.0:10.0]>"
+            repr(parameter)
+            == "<Parameter 'name': 1.0000 ± 0.1000 m (fixed), bounds=[0.0:10.0]>"
         )
 
     def test_value_match_callback(self, parameter: Parameter):
@@ -1015,14 +1049,14 @@ def test_set_value(self, parameter: Parameter):
         # Expect
         parameter._callback.fset.assert_called_with(2)
         assert parameter._callback.fset.call_count == 1
-        assert parameter._scalar == sc.scalar(2, unit='m')
+        assert parameter._scalar == sc.scalar(2, unit="m")
 
     def test_set_value_dependent_parameter(self, normal_parameter: Parameter):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
 
         # Then Expect
@@ -1032,14 +1066,14 @@ def test_set_value_dependent_parameter(self, normal_parameter: Parameter):
     def test_set_full_value(self, parameter: Parameter):
         # When Then Expect
         with pytest.raises(AttributeError):
-            parameter.full_value = sc.scalar(2, unit='s')
+            parameter.full_value = sc.scalar(2, unit="s")
 
     def test_set_variance_dependent_parameter(self, normal_parameter: Parameter):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
 
         # Then Expect
@@ -1049,9 +1083,9 @@ def test_set_variance_dependent_parameter(self, normal_parameter: Parameter):
     def test_set_error_dependent_parameter(self, normal_parameter: Parameter):
         # When
         dependent_parameter = Parameter.from_dependency(
-            name='dependent',
-            dependency_expression='2*a',
-            dependency_map={'a': normal_parameter},
+            name="dependent",
+            dependency_expression="2*a",
+            dependency_map={"a": normal_parameter},
         )
 
         # Then Expect
@@ -1079,25 +1113,25 @@ def test_copy(self, parameter: Parameter):
         assert parameter_copy._independent == parameter._independent
 
     @pytest.mark.parametrize(
-        'test, expected, expected_reverse',
+        "test, expected, expected_reverse",
         [
             (
-                Parameter('test', 2, 'm', 0.01, -10, 20),
-                Parameter('name + test', 3, 'm', 0.02, -10, 30),
-                Parameter('test + name', 3, 'm', 0.02, -10, 30),
+                Parameter("test", 2, "m", 0.01, -10, 20),
+                Parameter("name + test", 3, "m", 0.02, -10, 30),
+                Parameter("test + name", 3, "m", 0.02, -10, 30),
             ),
             (
-                Parameter('test', 2, 'm', 0.01),
-                Parameter('name + test', 3, 'm', 0.02, min=-np.inf, max=np.inf),
-                Parameter('test + name', 3, 'm', 0.02, min=-np.inf, max=np.inf),
+                Parameter("test", 2, "m", 0.01),
+                Parameter("name + test", 3, "m", 0.02, min=-np.inf, max=np.inf),
+                Parameter("test + name", 3, "m", 0.02, min=-np.inf, max=np.inf),
             ),
             (
-                Parameter('test', 2, 'cm', 0.01, -10, 10),
-                Parameter('name + test', 1.02, 'm', 0.010001, -0.1, 10.1),
-                Parameter('test + name', 102, 'cm', 100.01, -10, 1010),
+                Parameter("test", 2, "cm", 0.01, -10, 10),
+                Parameter("name + test", 1.02, "m", 0.010001, -0.1, 10.1),
+                Parameter("test + name", 102, "cm", 100.01, -10, 1010),
             ),
         ],
-        ids=['regular', 'no_bounds', 'unit_conversion'],
+        ids=["regular", "no_bounds", "unit_conversion"],
     )
     def test_addition_with_parameter(
         self,
@@ -1128,11 +1162,11 @@ def test_addition_with_parameter(
         assert result_reverse.min == expected_reverse.min
         assert result_reverse.max == expected_reverse.max
 
-        assert parameter.unit == 'm'
+        assert parameter.unit == "m"
 
     def test_addition_with_scalar(self):
         # When
-        parameter = Parameter(name='name', value=1, variance=0.01, min=0, max=10)
+        parameter = Parameter(name="name", value=1, variance=0.01, min=0, max=10)
 
         # Then
         result = parameter + 1.0
@@ -1141,14 +1175,14 @@ def test_addition_with_scalar(self):
         # Expect
         assert result.name == result.unique_name
         assert result.value == 2.0
-        assert result.unit == 'dimensionless'
+        assert result.unit == "dimensionless"
         assert result.variance == 0.01
         assert result.min == 1.0
         assert result.max == 11.0
 
         assert result_reverse.name == result_reverse.unique_name
         assert result_reverse.value == 2.0
-        assert result_reverse.unit == 'dimensionless'
+        assert result_reverse.unit == "dimensionless"
         assert result_reverse.variance == 0.01
         assert result_reverse.min == 1.0
         assert result_reverse.max == 11.0
@@ -1156,7 +1190,9 @@ def test_addition_with_scalar(self):
     def test_addition_with_descriptor_number(self, parameter: Parameter):
         # When
         parameter._callback = property()
-        descriptor_number = DescriptorNumber(name='test', value=1, variance=0.1, unit='cm')
+        descriptor_number = DescriptorNumber(
+            name="test", value=1, variance=0.1, unit="cm"
+        )
 
         # Then
         result = parameter + descriptor_number
@@ -1166,7 +1202,7 @@ def test_addition_with_descriptor_number(self, parameter: Parameter):
         assert type(result) == Parameter
         assert result.name == result.unique_name
         assert result.value == 1.01
-        assert result.unit == 'm'
+        assert result.unit == "m"
         assert result.variance == 0.01001
         assert result.min == 0.01
         assert result.max == 10.01
@@ -1174,25 +1210,25 @@ def test_addition_with_descriptor_number(self, parameter: Parameter):
         assert type(result_reverse) == Parameter
         assert result_reverse.name == result_reverse.unique_name
         assert result_reverse.value == 101.0
-        assert result_reverse.unit == 'cm'
+        assert result_reverse.unit == "cm"
         assert result_reverse.variance == 100.1
         assert result_reverse.min == 1
         assert result_reverse.max == 1001
 
-        assert parameter.unit == 'm'
-        assert descriptor_number.unit == 'cm'
+        assert parameter.unit == "m"
+        assert descriptor_number.unit == "cm"
 
     @pytest.mark.parametrize(
-        'test',
+        "test",
         [
             1.0,
             Parameter(
-                'test',
+                "test",
                 2,
-                's',
+                "s",
             ),
         ],
-        ids=['add_scalar_to_unit', 'incompatible_units'],
+        ids=["add_scalar_to_unit", "incompatible_units"],
     )
     def test_addition_exception(self, parameter: Parameter, test):
         # When Then Expect
@@ -1202,25 +1238,25 @@ def test_addition_exception(self, parameter: Parameter, test):
             result_reverse = test + parameter
 
     @pytest.mark.parametrize(
-        'test, expected, expected_reverse',
+        "test, expected, expected_reverse",
         [
             (
-                Parameter('test', 2, 'm', 0.01, -20, 20),
-                Parameter('name - test', -1, 'm', 0.02, -20, 30),
-                Parameter('test - name', 1, 'm', 0.02, -30, 20),
+                Parameter("test", 2, "m", 0.01, -20, 20),
+                Parameter("name - test", -1, "m", 0.02, -20, 30),
+                Parameter("test - name", 1, "m", 0.02, -30, 20),
             ),
             (
-                Parameter('test', 2, 'm', 0.01),
-                Parameter('name - test', -1, 'm', 0.02, min=-np.inf, max=np.inf),
-                Parameter('test - name', 1, 'm', 0.02, min=-np.inf, max=np.inf),
+                Parameter("test", 2, "m", 0.01),
+                Parameter("name - test", -1, "m", 0.02, min=-np.inf, max=np.inf),
+                Parameter("test - name", 1, "m", 0.02, min=-np.inf, max=np.inf),
             ),
             (
-                Parameter('test', 2, 'cm', 0.01, -10, 10),
-                Parameter('name - test', 0.98, 'm', 0.010001, -0.1, 10.1),
-                Parameter('test - name', -98, 'cm', 100.01, -1010, 10),
+                Parameter("test", 2, "cm", 0.01, -10, 10),
+                Parameter("name - test", 0.98, "m", 0.010001, -0.1, 10.1),
+                Parameter("test - name", -98, "cm", 100.01, -1010, 10),
             ),
         ],
-        ids=['regular', 'no_bounds', 'unit_conversion'],
+        ids=["regular", "no_bounds", "unit_conversion"],
     )
     def test_subtraction_with_parameter(
         self,
@@ -1251,12 +1287,14 @@ def test_subtraction_with_parameter(
         assert result_reverse.min == expected_reverse.min
         assert result_reverse.max == expected_reverse.max
 
-        assert parameter.unit == 'm'
+        assert parameter.unit == "m"
 
     def test_subtraction_with_parameter_nan_cases(self):
         # When
-        parameter = Parameter(name='name', value=1, variance=0.01, min=-np.inf, max=np.inf)
-        test = Parameter(name='test', value=2, variance=0.01, min=-np.inf, max=np.inf)
+        parameter = Parameter(
+            name="name", value=1, variance=0.01, min=-np.inf, max=np.inf
+        )
+        test = Parameter(name="test", value=2, variance=0.01, min=-np.inf, max=np.inf)
 
         # Then
         result = parameter - test
@@ -1265,21 +1303,21 @@ def test_subtraction_with_parameter_nan_cases(self):
         # Expect
         assert result.name == result.unique_name
         assert result.value == -1.0
-        assert result.unit == 'dimensionless'
+        assert result.unit == "dimensionless"
         assert result.variance == 0.02
         assert result.min == -np.inf
         assert result.max == np.inf
 
         assert result_reverse.name == result_reverse.unique_name
         assert result_reverse.value == 1.0
-        assert result_reverse.unit == 'dimensionless'
+        assert result_reverse.unit == "dimensionless"
         assert result_reverse.variance == 0.02
         assert result_reverse.min == -np.inf
         assert result_reverse.max == np.inf
 
     def test_subtraction_with_scalar(self):
         # When
-        parameter = Parameter(name='name', value=2, variance=0.01, min=0, max=10)
+        parameter = Parameter(name="name", value=2, variance=0.01, min=0, max=10)
 
         # Then
         result = parameter - 1.0
@@ -1288,14 +1326,14 @@ def test_subtraction_with_scalar(self):
         # Expect
         assert result.name == result.unique_name
         assert result.value == 1.0
-        assert result.unit == 'dimensionless'
+        assert result.unit == "dimensionless"
         assert result.variance == 0.01
         assert result.min == -1.0
         assert result.max == 9.0
 
         assert result_reverse.name == result_reverse.unique_name
         assert result_reverse.value == -1.0
-        assert result_reverse.unit == 'dimensionless'
+        assert result_reverse.unit == "dimensionless"
         assert result_reverse.variance == 0.01
         assert result_reverse.min == -9.0
         assert result_reverse.max == 1.0
@@ -1303,7 +1341,9 @@ def test_subtraction_with_scalar(self):
     def test_subtraction_with_descriptor_number(self, parameter: Parameter):
         # When
         parameter._callback = property()
-        descriptor_number = DescriptorNumber(name='test', value=1, variance=0.1, unit='cm')
+        descriptor_number = DescriptorNumber(
+            name="test", value=1, variance=0.1, unit="cm"
+        )
 
         # Then
         result = parameter - descriptor_number
@@ -1313,7 +1353,7 @@ def test_subtraction_with_descriptor_number(self, parameter: Parameter):
         assert type(result) == Parameter
         assert result.name == result.unique_name
         assert result.value == 0.99
-        assert result.unit == 'm'
+        assert result.unit == "m"
         assert result.variance == 0.01001
         assert result.min == -0.01
         assert result.max == 9.99
@@ -1321,25 +1361,25 @@ def test_subtraction_with_descriptor_number(self, parameter: Parameter):
         assert type(result_reverse) == Parameter
         assert result_reverse.name == result_reverse.unique_name
         assert result_reverse.value == -99.0
-        assert result_reverse.unit == 'cm'
+        assert result_reverse.unit == "cm"
         assert result_reverse.variance == 100.1
         assert result_reverse.min == -999
         assert result_reverse.max == 1
 
-        assert parameter.unit == 'm'
-        assert descriptor_number.unit == 'cm'
+        assert parameter.unit == "m"
+        assert descriptor_number.unit == "cm"
 
     @pytest.mark.parametrize(
-        'test',
+        "test",
         [
             1.0,
             Parameter(
-                'test',
+                "test",
                 2,
-                's',
+                "s",
             ),
         ],
-        ids=['sub_scalar_to_unit', 'incompatible_units'],
+        ids=["sub_scalar_to_unit", "incompatible_units"],
     )
     def test_subtraction_exception(self, parameter: Parameter, test):
         # When Then Expect
@@ -1349,25 +1389,25 @@ def test_subtraction_exception(self, parameter: Parameter, test):
             result_reverse = test - parameter
 
     @pytest.mark.parametrize(
-        'test, expected, expected_reverse',
+        "test, expected, expected_reverse",
         [
             (
-                Parameter('test', 2, 'm', 0.01, -10, 20),
-                Parameter('name * test', 2, 'm^2', 0.05, -100, 200),
-                Parameter('test * name', 2, 'm^2', 0.05, -100, 200),
+                Parameter("test", 2, "m", 0.01, -10, 20),
+                Parameter("name * test", 2, "m^2", 0.05, -100, 200),
+                Parameter("test * name", 2, "m^2", 0.05, -100, 200),
             ),
             (
-                Parameter('test', 2, 'm', 0.01),
-                Parameter('name * test', 2, 'm^2', 0.05, min=-np.inf, max=np.inf),
-                Parameter('test * name', 2, 'm^2', 0.05, min=-np.inf, max=np.inf),
+                Parameter("test", 2, "m", 0.01),
+                Parameter("name * test", 2, "m^2", 0.05, min=-np.inf, max=np.inf),
+                Parameter("test * name", 2, "m^2", 0.05, min=-np.inf, max=np.inf),
             ),
             (
-                Parameter('test', 2, 'dm', 0.01, -10, 20),
-                Parameter('name * test', 0.2, 'm^2', 0.0005, -10, 20),
-                Parameter('test * name', 0.2, 'm^2', 0.0005, -10, 20),
+                Parameter("test", 2, "dm", 0.01, -10, 20),
+                Parameter("name * test", 0.2, "m^2", 0.0005, -10, 20),
+                Parameter("test * name", 0.2, "m^2", 0.0005, -10, 20),
             ),
         ],
-        ids=['regular', 'no_bounds', 'base_unit_conversion'],
+        ids=["regular", "no_bounds", "base_unit_conversion"],
     )
     def test_multiplication_with_parameter(
         self,
@@ -1399,24 +1439,26 @@ def test_multiplication_with_parameter(
         assert result_reverse.max == expected_reverse.max
 
     @pytest.mark.parametrize(
-        'test, expected, expected_reverse',
+        "test, expected, expected_reverse",
         [
             (
-                Parameter('test', 0, '', 0.01, -10, 0),
-                Parameter('name * test', 0.0, 'dimensionless', 0.01, -np.inf, 0),
-                Parameter('test * name', 0, 'dimensionless', 0.01, -np.inf, 0),
+                Parameter("test", 0, "", 0.01, -10, 0),
+                Parameter("name * test", 0.0, "dimensionless", 0.01, -np.inf, 0),
+                Parameter("test * name", 0, "dimensionless", 0.01, -np.inf, 0),
             ),
             (
-                Parameter('test', 0, '', 0.01, 0, 10),
-                Parameter('name * test', 0.0, 'dimensionless', 0.01, 0, np.inf),
-                Parameter('test * name', 0, 'dimensionless', 0.01, 0, np.inf),
+                Parameter("test", 0, "", 0.01, 0, 10),
+                Parameter("name * test", 0.0, "dimensionless", 0.01, 0, np.inf),
+                Parameter("test * name", 0, "dimensionless", 0.01, 0, np.inf),
             ),
         ],
-        ids=['zero_min', 'zero_max'],
+        ids=["zero_min", "zero_max"],
     )
-    def test_multiplication_with_parameter_nan_cases(self, test, expected, expected_reverse):
+    def test_multiplication_with_parameter_nan_cases(
+        self, test, expected, expected_reverse
+    ):
         # When
-        parameter = Parameter(name='name', value=1, variance=0.01, min=1, max=np.inf)
+        parameter = Parameter(name="name", value=1, variance=0.01, min=1, max=np.inf)
 
         # Then
         result = parameter * test
@@ -1438,20 +1480,20 @@ def test_multiplication_with_parameter_nan_cases(self, test, expected, expected_
         assert result_reverse.max == expected_reverse.max
 
     @pytest.mark.parametrize(
-        'test, expected, expected_reverse',
+        "test, expected, expected_reverse",
         [
             (
-                DescriptorNumber(name='test', value=2, variance=0.1, unit='cm'),
-                Parameter('name * test', 2, 'dm^2', 0.14, 0, 20),
-                Parameter('test * name', 2, 'dm^2', 0.14, 0, 20),
+                DescriptorNumber(name="test", value=2, variance=0.1, unit="cm"),
+                Parameter("name * test", 2, "dm^2", 0.14, 0, 20),
+                Parameter("test * name", 2, "dm^2", 0.14, 0, 20),
             ),
             (
-                DescriptorNumber(name='test', value=0, variance=0.1, unit='cm'),
-                DescriptorNumber('name * test', 0, 'dm^2', 0.1),
-                DescriptorNumber('test * name', 0, 'dm^2', 0.1),
+                DescriptorNumber(name="test", value=0, variance=0.1, unit="cm"),
+                DescriptorNumber("name * test", 0, "dm^2", 0.1),
+                DescriptorNumber("test * name", 0, "dm^2", 0.1),
             ),
         ],
-        ids=['regular', 'zero_value'],
+        ids=["regular", "zero_value"],
     )
     def test_multiplication_with_descriptor_number(
         self, parameter: Parameter, test, expected, expected_reverse
@@ -1483,20 +1525,20 @@ def test_multiplication_with_descriptor_number(
             assert result_reverse.max == expected_reverse.max
 
     @pytest.mark.parametrize(
-        'test, expected, expected_reverse',
+        "test, expected, expected_reverse",
         [
             (
                 2,
-                Parameter('name * 2', 2, 'm', 0.04, 0, 20),
-                Parameter('2 * name', 2, 'm', 0.04, 0, 20),
+                Parameter("name * 2", 2, "m", 0.04, 0, 20),
+                Parameter("2 * name", 2, "m", 0.04, 0, 20),
             ),
             (
                 0,
-                DescriptorNumber('name * 0', 0, 'm', 0),
-                DescriptorNumber('0 * name', 0, 'm', 0),
+                DescriptorNumber("name * 0", 0, "m", 0),
+                DescriptorNumber("0 * name", 0, "m", 0),
             ),
         ],
-        ids=['regular', 'zero_value'],
+        ids=["regular", "zero_value"],
     )
     def test_multiplication_with_scalar(
         self, parameter: Parameter, test, expected, expected_reverse
@@ -1527,27 +1569,29 @@ def test_multiplication_with_scalar(
             assert result_reverse.max == expected_reverse.max
 
     @pytest.mark.parametrize(
-        'test, expected, expected_reverse',
+        "test, expected, expected_reverse",
         [
             (
-                Parameter('test', 2, 's', 0.01, -10, 20),
-                Parameter('name / test', 0.5, 'm/s', 0.003125, -np.inf, np.inf),
-                Parameter('test / name', 2, 's/m', 0.05, -np.inf, np.inf),
+                Parameter("test", 2, "s", 0.01, -10, 20),
+                Parameter("name / test", 0.5, "m/s", 0.003125, -np.inf, np.inf),
+                Parameter("test / name", 2, "s/m", 0.05, -np.inf, np.inf),
             ),
             (
-                Parameter('test', 2, 's', 0.01, 0, 20),
-                Parameter('name / test', 0.5, 'm/s', 0.003125, 0.0, np.inf),
-                Parameter('test / name', 2, 's/m', 0.05, 0.0, np.inf),
+                Parameter("test", 2, "s", 0.01, 0, 20),
+                Parameter("name / test", 0.5, "m/s", 0.003125, 0.0, np.inf),
+                Parameter("test / name", 2, "s/m", 0.05, 0.0, np.inf),
             ),
             (
-                Parameter('test', -2, 's', 0.01, -10, 0),
-                Parameter('name / test', -0.5, 'm/s', 0.003125, -np.inf, 0.0),
-                Parameter('test / name', -2, 's/m', 0.05, -np.inf, 0.0),
+                Parameter("test", -2, "s", 0.01, -10, 0),
+                Parameter("name / test", -0.5, "m/s", 0.003125, -np.inf, 0.0),
+                Parameter("test / name", -2, "s/m", 0.05, -np.inf, 0.0),
             ),
         ],
-        ids=['crossing_zero', 'only_positive', 'only_negative'],
+        ids=["crossing_zero", "only_positive", "only_negative"],
     )
-    def test_division_with_parameter(self, parameter: Parameter, test, expected, expected_reverse):
+    def test_division_with_parameter(
+        self, parameter: Parameter, test, expected, expected_reverse
+    ):
         # When
         parameter._callback = property()
 
@@ -1573,28 +1617,28 @@ def test_division_with_parameter(self, parameter: Parameter, test, expected, exp
         assert result_reverse.max == expected_reverse.max
 
     @pytest.mark.parametrize(
-        'first, second, expected',
+        "first, second, expected",
         [
             (
-                Parameter('name', 1, 'm', 0.01, -10, 20),
-                Parameter('test', -2, 's', 0.01, -10, 0),
-                Parameter('name / test', -0.5, 'm/s', 0.003125, -np.inf, np.inf),
+                Parameter("name", 1, "m", 0.01, -10, 20),
+                Parameter("test", -2, "s", 0.01, -10, 0),
+                Parameter("name / test", -0.5, "m/s", 0.003125, -np.inf, np.inf),
             ),
             (
-                Parameter('name', -10, 'm', 0.01, -20, -10),
-                Parameter('test', -2, 's', 0.01, -10, 0),
-                Parameter('name / test', 5.0, 'm/s', 0.065, 1, np.inf),
+                Parameter("name", -10, "m", 0.01, -20, -10),
+                Parameter("test", -2, "s", 0.01, -10, 0),
+                Parameter("name / test", 5.0, "m/s", 0.065, 1, np.inf),
             ),
             (
-                Parameter('name', 10, 'm', 0.01, 10, 20),
-                Parameter('test', -20, 's', 0.01, -20, -10),
-                Parameter('name / test', -0.5, 'm/s', 3.125e-5, -2, -0.5),
+                Parameter("name", 10, "m", 0.01, 10, 20),
+                Parameter("test", -20, "s", 0.01, -20, -10),
+                Parameter("name / test", -0.5, "m/s", 3.125e-5, -2, -0.5),
             ),
         ],
         ids=[
-            'first_crossing_zero_second_negative_0',
-            'both_negative_second_negative_0',
-            'finite_limits',
+            "first_crossing_zero_second_negative_0",
+            "both_negative_second_negative_0",
+            "finite_limits",
         ],
     )
     def test_division_with_parameter_remaining_cases(self, first, second, expected):
@@ -1610,20 +1654,20 @@ def test_division_with_parameter_remaining_cases(self, first, second, expected):
         assert result.max == expected.max
 
     @pytest.mark.parametrize(
-        'test, expected, expected_reverse',
+        "test, expected, expected_reverse",
         [
             (
-                DescriptorNumber(name='test', value=2, variance=0.1, unit='s'),
-                Parameter('name / test', 0.5, 'm/s', 0.00875, 0, 5),
-                Parameter('test / name', 2, 's/m', 0.14, 0.2, np.inf),
+                DescriptorNumber(name="test", value=2, variance=0.1, unit="s"),
+                Parameter("name / test", 0.5, "m/s", 0.00875, 0, 5),
+                Parameter("test / name", 2, "s/m", 0.14, 0.2, np.inf),
             ),
             (
                 2,
-                Parameter('name / 2', 0.5, 'm', 0.0025, 0, 5),
-                Parameter('2 / name', 2, 'm**-1', 0.04, 0.2, np.inf),
+                Parameter("name / 2", 0.5, "m", 0.0025, 0, 5),
+                Parameter("2 / name", 2, "m**-1", 0.04, 0.2, np.inf),
             ),
         ],
-        ids=['descriptor_number', 'number'],
+        ids=["descriptor_number", "number"],
     )
     def test_division_with_descriptor_number_and_number(
         self, parameter: Parameter, test, expected, expected_reverse
@@ -1653,17 +1697,19 @@ def test_division_with_descriptor_number_and_number(
         assert result_reverse.max == expected_reverse.max
 
     @pytest.mark.parametrize(
-        'test, expected',
+        "test, expected",
         [
             (
-                DescriptorNumber(name='test', value=0, variance=0.1, unit='s'),
-                DescriptorNumber('test / name', 0.0, 's/m', 0.1),
+                DescriptorNumber(name="test", value=0, variance=0.1, unit="s"),
+                DescriptorNumber("test / name", 0.0, "s/m", 0.1),
             ),
-            (0, DescriptorNumber('0 / name', 0.0, '1/m', 0.0)),
+            (0, DescriptorNumber("0 / name", 0.0, "1/m", 0.0)),
         ],
-        ids=['descriptor_number', 'number'],
+        ids=["descriptor_number", "number"],
     )
-    def test_zero_value_divided_by_parameter(self, parameter: Parameter, test, expected):
+    def test_zero_value_divided_by_parameter(
+        self, parameter: Parameter, test, expected
+    ):
         # When
         parameter._callback = property()
 
@@ -1678,43 +1724,45 @@ def test_zero_value_divided_by_parameter(self, parameter: Parameter, test, expec
         assert result.variance == expected.variance
 
     @pytest.mark.parametrize(
-        'first, second, expected',
+        "first, second, expected",
         [
             (
-                DescriptorNumber('name', 1, 'm', 0.01),
-                Parameter('test', 2, 's', 0.1, -10, 10),
-                Parameter('name / test', 0.5, 'm/s', 0.00875, -np.inf, np.inf),
+                DescriptorNumber("name", 1, "m", 0.01),
+                Parameter("test", 2, "s", 0.1, -10, 10),
+                Parameter("name / test", 0.5, "m/s", 0.00875, -np.inf, np.inf),
             ),
             (
-                DescriptorNumber('name', -1, 'm', 0.01),
-                Parameter('test', 2, 's', 0.1, 0, 10),
-                Parameter('name / test', -0.5, 'm/s', 0.00875, -np.inf, -0.1),
+                DescriptorNumber("name", -1, "m", 0.01),
+                Parameter("test", 2, "s", 0.1, 0, 10),
+                Parameter("name / test", -0.5, "m/s", 0.00875, -np.inf, -0.1),
             ),
             (
-                DescriptorNumber('name', 1, 'm', 0.01),
-                Parameter('test', -2, 's', 0.1, -10, 0),
-                Parameter('name / test', -0.5, 'm/s', 0.00875, -np.inf, -0.1),
+                DescriptorNumber("name", 1, "m", 0.01),
+                Parameter("test", -2, "s", 0.1, -10, 0),
+                Parameter("name / test", -0.5, "m/s", 0.00875, -np.inf, -0.1),
             ),
             (
-                DescriptorNumber('name', -1, 'm', 0.01),
-                Parameter('test', -2, 's', 0.1, -10, 0),
-                Parameter('name / test', 0.5, 'm/s', 0.00875, 0.1, np.inf),
+                DescriptorNumber("name", -1, "m", 0.01),
+                Parameter("test", -2, "s", 0.1, -10, 0),
+                Parameter("name / test", 0.5, "m/s", 0.00875, 0.1, np.inf),
             ),
             (
-                DescriptorNumber('name', 1, 'm', 0.01),
-                Parameter('test', 2, 's', 0.1, 1, 10),
-                Parameter('name / test', 0.5, 'm/s', 0.00875, 0.1, 1),
+                DescriptorNumber("name", 1, "m", 0.01),
+                Parameter("test", 2, "s", 0.1, 1, 10),
+                Parameter("name / test", 0.5, "m/s", 0.00875, 0.1, 1),
             ),
         ],
         ids=[
-            'crossing_zero',
-            'positive_0_with_negative',
-            'negative_0_with_positive',
-            'negative_0_with_negative',
-            'finite_limits',
+            "crossing_zero",
+            "positive_0_with_negative",
+            "negative_0_with_positive",
+            "negative_0_with_negative",
+            "finite_limits",
         ],
     )
-    def test_division_with_descriptor_number_missing_cases(self, first, second, expected):
+    def test_division_with_descriptor_number_missing_cases(
+        self, first, second, expected
+    ):
         # When Then
         result = first / second
 
@@ -1727,9 +1775,9 @@ def test_division_with_descriptor_number_missing_cases(self, first, second, expe
         assert result.max == expected.max
 
     @pytest.mark.parametrize(
-        'test',
-        [0, DescriptorNumber('test', 0, 's', 0.1)],
-        ids=['number', 'descriptor_number'],
+        "test",
+        [0, DescriptorNumber("test", 0, "s", 0.1)],
+        ids=["number", "descriptor_number"],
     )
     def test_divide_parameter_by_zero(self, parameter: Parameter, test):
         # When
@@ -1741,38 +1789,38 @@ def test_divide_parameter_by_zero(self, parameter: Parameter, test):
 
     def test_divide_by_zero_value_parameter(self):
         # When
-        descriptor = DescriptorNumber('test', 1, 's', 0.1)
-        parameter = Parameter('name', 0, 'm', 0.01)
+        descriptor = DescriptorNumber("test", 1, "s", 0.1)
+        parameter = Parameter("name", 0, "m", 0.01)
 
         # Then Expect
         with pytest.raises(ZeroDivisionError):
             result = descriptor / parameter
 
     @pytest.mark.parametrize(
-        'test, expected',
+        "test, expected",
         [
-            (3, Parameter('name ** 3', 125, 'm^3', 281.25, -125, 1000)),
-            (2, Parameter('name ** 2', 25, 'm^2', 5.0, 0, 100)),
-            (-1, Parameter('name ** -1', 0.2, '1/m', 8e-5, -np.inf, np.inf)),
-            (-2, Parameter('name ** -2', 0.04, '1/m^2', 1.28e-5, 0, np.inf)),
-            (0, DescriptorNumber('name ** 0', 1, 'dimensionless', 0)),
+            (3, Parameter("name ** 3", 125, "m^3", 281.25, -125, 1000)),
+            (2, Parameter("name ** 2", 25, "m^2", 5.0, 0, 100)),
+            (-1, Parameter("name ** -1", 0.2, "1/m", 8e-5, -np.inf, np.inf)),
+            (-2, Parameter("name ** -2", 0.04, "1/m^2", 1.28e-5, 0, np.inf)),
+            (0, DescriptorNumber("name ** 0", 1, "dimensionless", 0)),
             (
-                DescriptorNumber('test', 2),
-                Parameter('name ** test', 25, 'm^2', 5.0, 0, 100),
+                DescriptorNumber("test", 2),
+                Parameter("name ** test", 25, "m^2", 5.0, 0, 100),
             ),
         ],
         ids=[
-            'power_3',
-            'power_2',
-            'power_-1',
-            'power_-2',
-            'power_0',
-            'power_descriptor_number',
+            "power_3",
+            "power_2",
+            "power_-1",
+            "power_-2",
+            "power_0",
+            "power_descriptor_number",
         ],
     )
     def test_power_of_parameter(self, test, expected):
         # When
-        parameter = Parameter('name', 5, 'm', 0.05, -5, 10)
+        parameter = Parameter("name", 5, "m", 0.05, -5, 10)
 
         # Then
         result = parameter**test
@@ -1788,59 +1836,59 @@ def test_power_of_parameter(self, test, expected):
             assert result.max == expected.max
 
     @pytest.mark.parametrize(
-        'test, exponent, expected',
+        "test, exponent, expected",
         [
             (
-                Parameter('name', 5, 'm', 0.05, 0, 10),
+                Parameter("name", 5, "m", 0.05, 0, 10),
                 -1,
-                Parameter('name ** -1', 0.2, '1/m', 8e-5, 0.1, np.inf),
+                Parameter("name ** -1", 0.2, "1/m", 8e-5, 0.1, np.inf),
             ),
             (
-                Parameter('name', -5, 'm', 0.05, -5, 0),
+                Parameter("name", -5, "m", 0.05, -5, 0),
                 -1,
-                Parameter('name ** -1', -0.2, '1/m', 8e-5, -np.inf, -0.2),
+                Parameter("name ** -1", -0.2, "1/m", 8e-5, -np.inf, -0.2),
             ),
             (
-                Parameter('name', 5, 'm', 0.05, 5, 10),
+                Parameter("name", 5, "m", 0.05, 5, 10),
                 -1,
-                Parameter('name ** -1', 0.2, '1/m', 8e-5, 0.1, 0.2),
+                Parameter("name ** -1", 0.2, "1/m", 8e-5, 0.1, 0.2),
             ),
             (
-                Parameter('name', -5, 'm', 0.05, -10, -5),
+                Parameter("name", -5, "m", 0.05, -10, -5),
                 -1,
-                Parameter('name ** -1', -0.2, '1/m', 8e-5, -0.2, -0.1),
+                Parameter("name ** -1", -0.2, "1/m", 8e-5, -0.2, -0.1),
             ),
             (
-                Parameter('name', -5, 'm', 0.05, -10, -5),
+                Parameter("name", -5, "m", 0.05, -10, -5),
                 -2,
-                Parameter('name ** -2', 0.04, '1/m^2', 1.28e-5, 0.01, 0.04),
+                Parameter("name ** -2", 0.04, "1/m^2", 1.28e-5, 0.01, 0.04),
             ),
             (
-                Parameter('name', 5, '', 0.1, 1, 10),
+                Parameter("name", 5, "", 0.1, 1, 10),
                 0.3,
                 Parameter(
-                    'name ** 0.3',
+                    "name ** 0.3",
                     1.6206565966927624,
-                    '',
+                    "",
                     0.0009455500095853564,
                     1,
                     1.9952623149688795,
                 ),
             ),
             (
-                Parameter('name', 5, '', 0.1),
+                Parameter("name", 5, "", 0.1),
                 0.5,
-                Parameter('name ** 0.5', 2.23606797749979, '', 0.005, 0, np.inf),
+                Parameter("name ** 0.5", 2.23606797749979, "", 0.005, 0, np.inf),
             ),
         ],
         ids=[
-            '0_positive',
-            'negative_0',
-            'both_positive',
-            'both_negative_invert',
-            'both_negative_invert_square',
-            'fractional',
-            'fractional_negative_limit',
+            "0_positive",
+            "negative_0",
+            "both_positive",
+            "both_negative_invert",
+            "both_negative_invert_square",
+            "fractional",
+            "fractional_negative_limit",
         ],
     )
     def test_power_of_diffent_parameters(self, test, exponent, expected):
@@ -1856,26 +1904,26 @@ def test_power_of_diffent_parameters(self, test, exponent, expected):
         assert result.max == expected.max
 
     @pytest.mark.parametrize(
-        'parameter, exponent, expected',
+        "parameter, exponent, expected",
         [
             (
-                Parameter('name', 5, 'm'),
-                DescriptorNumber('test', 2, unit='s'),
+                Parameter("name", 5, "m"),
+                DescriptorNumber("test", 2, unit="s"),
                 UnitError,
             ),
             (
-                Parameter('name', 5, 'm'),
-                DescriptorNumber('test', 2, variance=0.01),
+                Parameter("name", 5, "m"),
+                DescriptorNumber("test", 2, variance=0.01),
                 ValueError,
             ),
-            (Parameter('name', 5, 'm'), 0.5, UnitError),
-            (Parameter('name', -5, ''), 0.5, ValueError),
+            (Parameter("name", 5, "m"), 0.5, UnitError),
+            (Parameter("name", -5, ""), 0.5, ValueError),
         ],
         ids=[
-            'exponent_unit',
-            'exponent_variance',
-            'exponent_fractional',
-            'negative_base_fractional',
+            "exponent_unit",
+            "exponent_variance",
+            "exponent_fractional",
+            "negative_base_fractional",
         ],
     )
     def test_power_exceptions(self, parameter, exponent, expected):
@@ -1885,7 +1933,7 @@ def test_power_exceptions(self, parameter, exponent, expected):
 
     def test_negation(self):
         # When
-        parameter = Parameter('name', 5, 'm', 0.05, -5, 10)
+        parameter = Parameter("name", 5, "m", 0.05, -5, 10)
 
         # Then
         result = -parameter
@@ -1893,24 +1941,24 @@ def test_negation(self):
         # Expect
         assert result.name == result.unique_name
         assert result.value == -5
-        assert result.unit == 'm'
+        assert result.unit == "m"
         assert result.variance == 0.05
         assert result.min == -10
         assert result.max == 5
 
     @pytest.mark.parametrize(
-        'test, expected',
+        "test, expected",
         [
             (
-                Parameter('name', -5, 'm', 0.05, -10, -5),
-                Parameter('abs(name)', 5, 'm', 0.05, 5, 10),
+                Parameter("name", -5, "m", 0.05, -10, -5),
+                Parameter("abs(name)", 5, "m", 0.05, 5, 10),
             ),
             (
-                Parameter('name', 5, 'm', 0.05, -10, 10),
-                Parameter('abs(name)', 5, 'm', 0.05, 0, 10),
+                Parameter("name", 5, "m", 0.05, -10, 10),
+                Parameter("abs(name)", 5, "m", 0.05, 0, 10),
             ),
         ],
-        ids=['pure_negative', 'crossing_zero'],
+        ids=["pure_negative", "crossing_zero"],
     )
     def test_abs(self, test, expected):
         # When Then
diff --git a/tests/unit/variable/test_parameter_dependency_serialization.py b/tests/unit_tests/variable/test_parameter_dependency_serialization.py
similarity index 61%
rename from tests/unit/variable/test_parameter_dependency_serialization.py
rename to tests/unit_tests/variable/test_parameter_dependency_serialization.py
index 62feb5f3..574e2497 100644
--- a/tests/unit/variable/test_parameter_dependency_serialization.py
+++ b/tests/unit_tests/variable/test_parameter_dependency_serialization.py
@@ -1,20 +1,22 @@
-# SPDX-FileCopyrightText: 2026 EasyScience contributors <https://github.com/easyscience>
-# SPDX-License-Identifier: BSD-3-Clause
-
-import json
-
 import pytest
+import json
+from copy import deepcopy
+from unittest.mock import Mock
 
-from easyscience import Parameter
-from easyscience import global_object
-from easyscience.variable.parameter_dependency_resolver import deserialize_and_resolve_parameters
+from easyscience import Parameter, global_object
+from easyscience.variable.parameter_dependency_resolver import (
+    resolve_all_parameter_dependencies,
+)
 from easyscience.variable.parameter_dependency_resolver import (
     get_parameters_with_pending_dependencies,
 )
-from easyscience.variable.parameter_dependency_resolver import resolve_all_parameter_dependencies
+from easyscience.variable.parameter_dependency_resolver import (
+    deserialize_and_resolve_parameters,
+)
 
 
 class TestParameterDependencySerialization:
+
     @pytest.fixture
     def clear_global_map(self):
         """This fixture pattern:
@@ -37,15 +39,15 @@ def clear_global_map(self):
 
     def test_independent_parameter_serialization(self, clear_global_map):
         """Test that independent parameters serialize normally without dependency info."""
-        param = Parameter(name='test', value=5.0, unit='m', min=0, max=10)
+        param = Parameter(name="test", value=5.0, unit="m", min=0, max=10)
 
         # Serialize
         serialized = param.as_dict()
 
         # Should not contain dependency fields
-        assert '_dependency_string' not in serialized
-        assert '_dependency_map_serializer_ids' not in serialized
-        assert '_independent' not in serialized
+        assert "_dependency_string" not in serialized
+        assert "_dependency_map_serializer_ids" not in serialized
+        assert "_independent" not in serialized
 
         # Deserialize
         global_object.map._clear()
@@ -60,53 +62,55 @@ def test_independent_parameter_serialization(self, clear_global_map):
     def test_dependent_parameter_serialization(self, clear_global_map):
         """Test serialization of parameters with dependencies."""
         # Create independent parameter
-        a = Parameter(name='a', value=2.0, unit='m', min=0, max=10)
+        a = Parameter(name="a", value=2.0, unit="m", min=0, max=10)
 
         # Create dependent parameter
         b = Parameter.from_dependency(
-            name='b', dependency_expression='2 * a', dependency_map={'a': a}, unit='m'
+            name="b", dependency_expression="2 * a", dependency_map={"a": a}, unit="m"
         )
 
         # Serialize dependent parameter
         serialized = b.as_dict()
 
         # Should contain dependency information
-        assert serialized['_dependency_string'] == '2 * a'
-        assert serialized['_dependency_map_serializer_ids'] == {
-            'a': a._DescriptorNumber__serializer_id
+        assert serialized["_dependency_string"] == "2 * a"
+        assert serialized["_dependency_map_serializer_ids"] == {
+            "a": a._DescriptorNumber__serializer_id
         }
-        assert serialized['_independent'] is False
+        assert serialized["_independent"] is False
 
         # Deserialize
         global_object.map._clear()
         new_b = Parameter.from_dict(serialized)
 
         # Should have pending dependency info
-        assert hasattr(new_b, '_pending_dependency_string')
-        assert new_b._pending_dependency_string == '2 * a'
+        assert hasattr(new_b, "_pending_dependency_string")
+        assert new_b._pending_dependency_string == "2 * a"
         assert new_b._pending_dependency_map_serializer_ids == {
-            'a': a._DescriptorNumber__serializer_id
+            "a": a._DescriptorNumber__serializer_id
         }
-        assert new_b.independent is True  # Initially independent until dependencies resolved
+        assert (
+            new_b.independent is True
+        )  # Initially independent until dependencies resolved
 
     def test_dependency_resolution_after_deserialization(self, clear_global_map):
         """Test that dependencies are properly resolved after deserialization."""
         # Create test parameters with dependencies
-        a = Parameter(name='a', value=2.0, unit='m', min=0, max=10)
-        b = Parameter(name='b', value=3.0, unit='m', min=0, max=10)
+        a = Parameter(name="a", value=2.0, unit="m", min=0, max=10)
+        b = Parameter(name="b", value=3.0, unit="m", min=0, max=10)
 
         c = Parameter.from_dependency(
-            name='c',
-            dependency_expression='a + b',
-            dependency_map={'a': a, 'b': b},
-            unit='m',
+            name="c",
+            dependency_expression="a + b",
+            dependency_map={"a": a, "b": b},
+            unit="m",
         )
 
         # Verify original dependency works
         assert c.value == 5.0  # 2 + 3
 
         # Serialize all parameters
-        params_data = {'a': a.as_dict(), 'b': b.as_dict(), 'c': c.as_dict()}
+        params_data = {"a": a.as_dict(), "b": b.as_dict(), "c": c.as_dict()}
 
         # Clear and deserialize (manual approach)
         global_object.map._clear()
@@ -115,8 +119,8 @@ def test_dependency_resolution_after_deserialization(self, clear_global_map):
             new_params[name] = Parameter.from_dict(data)
 
         # Before resolution, c should be independent with pending dependency
-        assert new_params['c'].independent is True
-        assert hasattr(new_params['c'], '_pending_dependency_string')
+        assert new_params["c"].independent is True
+        assert hasattr(new_params["c"], "_pending_dependency_string")
 
         # Resolve dependencies
         resolve_all_parameter_dependencies(new_params)
@@ -126,32 +130,34 @@ def test_dependency_resolution_after_deserialization(self, clear_global_map):
         # new_params = deserialize_and_resolve_parameters(params_data)
 
         # After resolution, c should be dependent and functional
-        assert new_params['c'].independent is False
-        assert new_params['c'].value == 5.0  # Still 2 + 3
+        assert new_params["c"].independent is False
+        assert new_params["c"].value == 5.0  # Still 2 + 3
 
         # Test that dependency still works
-        new_params['a'].value = 10.0
-        assert new_params['c'].value == 13.0  # 10 + 3
+        new_params["a"].value = 10.0
+        assert new_params["c"].value == 13.0  # 10 + 3
 
-    def test_dependency_resolution_after_deserialization_desired_unit(self, clear_global_map):
+    def test_dependency_resolution_after_deserialization_desired_unit(
+        self, clear_global_map
+    ):
         """Test that dependencies are properly resolved after deserialization."""
         # Create test parameters with dependencies
-        a = Parameter(name='a', value=2.0, unit='m', min=0, max=10)
-        b = Parameter(name='b', value=3.0, unit='m', min=0, max=10)
+        a = Parameter(name="a", value=2.0, unit="m", min=0, max=10)
+        b = Parameter(name="b", value=3.0, unit="m", min=0, max=10)
 
         c = Parameter.from_dependency(
-            name='c',
-            dependency_expression='a + b',
-            dependency_map={'a': a, 'b': b},
-            desired_unit='cm',
+            name="c",
+            dependency_expression="a + b",
+            dependency_map={"a": a, "b": b},
+            desired_unit="cm",
         )
 
         # Verify original dependency works
         assert c.value == 5.0 * 100  # 2 + 3
-        assert c.unit == 'cm'
+        assert c.unit == "cm"
 
         # Serialize all parameters
-        params_data = {'a': a.as_dict(), 'b': b.as_dict(), 'c': c.as_dict()}
+        params_data = {"a": a.as_dict(), "b": b.as_dict(), "c": c.as_dict()}
 
         # Clear and deserialize (manual approach)
         global_object.map._clear()
@@ -160,8 +166,8 @@ def test_dependency_resolution_after_deserialization_desired_unit(self, clear_gl
             new_params[name] = Parameter.from_dict(data)
 
         # Before resolution, c should be independent with pending dependency
-        assert new_params['c'].independent is True
-        assert hasattr(new_params['c'], '_pending_dependency_string')
+        assert new_params["c"].independent is True
+        assert hasattr(new_params["c"], "_pending_dependency_string")
 
         # Resolve dependencies
         resolve_all_parameter_dependencies(new_params)
@@ -171,24 +177,24 @@ def test_dependency_resolution_after_deserialization_desired_unit(self, clear_gl
         # new_params = deserialize_and_resolve_parameters(params_data)
 
         # After resolution, c should be dependent and functional
-        assert new_params['c'].independent is False
-        assert new_params['c']._desired_unit == 'cm'  # Desired unit should be preserved
-        assert new_params['c'].value == 5.0 * 100  # Still 2 + 3, converted to cm
+        assert new_params["c"].independent is False
+        assert new_params["c"]._desired_unit == "cm"  # Desired unit should be preserved
+        assert new_params["c"].value == 5.0 * 100  # Still 2 + 3, converted to cm
 
         # Test that dependency still works
-        new_params['a'].value = 10.0
-        assert new_params['c'].value == 13.0 * 100  # 10 + 3
-        assert new_params['c'].unit == 'cm'
+        new_params["a"].value = 10.0
+        assert new_params["c"].value == 13.0 * 100  # 10 + 3
+        assert new_params["c"].unit == "cm"
 
     def test_unique_name_dependency_serialization(self, clear_global_map):
         """Test serialization of dependencies using unique names."""
-        a = Parameter(name='a', value=3.0, unit='m', min=0, max=10)
+        a = Parameter(name="a", value=3.0, unit="m", min=0, max=10)
 
         # Create dependent parameter using unique name
         b = Parameter.from_dependency(
-            name='b',
+            name="b",
             dependency_expression='2 * "Parameter_0"',  # Using unique name
-            unit='m',
+            unit="m",
         )
 
         # Serialize both parameters
@@ -196,26 +202,26 @@ def test_unique_name_dependency_serialization(self, clear_global_map):
         b_serialized = b.as_dict()
 
         # Should contain unique name mapping
-        assert b_serialized['_dependency_string'] == '2 * __Parameter_0__'
-        assert '__Parameter_0__' in b_serialized['_dependency_map_serializer_ids']
+        assert b_serialized["_dependency_string"] == "2 * __Parameter_0__"
+        assert "__Parameter_0__" in b_serialized["_dependency_map_serializer_ids"]
         assert (
-            b_serialized['_dependency_map_serializer_ids']['__Parameter_0__']
+            b_serialized["_dependency_map_serializer_ids"]["__Parameter_0__"]
             == a._DescriptorNumber__serializer_id
         )
 
         # Deserialize both and resolve
         global_object.map._clear()
         c = Parameter(
-            name='c', value=0.0
+            name="c", value=0.0
         )  # Dummy to occupy unique name, to force new unique_names
 
         # Remove unique_name from serialized data to force generation of new unique names
-        a_serialized.pop('unique_name', None)
-        b_serialized.pop('unique_name', None)
+        a_serialized.pop("unique_name", None)
+        b_serialized.pop("unique_name", None)
 
         new_b = Parameter.from_dict(b_serialized)
         new_a = Parameter.from_dict(a_serialized)
-        resolve_all_parameter_dependencies({'a': new_a, 'b': new_b})
+        resolve_all_parameter_dependencies({"a": new_a, "b": new_b})
 
         # Should work correctly
         assert new_b.independent is False
@@ -225,21 +231,21 @@ def test_unique_name_dependency_serialization(self, clear_global_map):
     def test_json_serialization_roundtrip(self, clear_global_map):
         """Test that parameter dependencies survive JSON serialization."""
         # Create parameters with dependencies
-        length = Parameter(name='length', value=10.0, unit='m', min=0, max=100)
-        width = Parameter(name='width', value=5.0, unit='m', min=0, max=50)
+        length = Parameter(name="length", value=10.0, unit="m", min=0, max=100)
+        width = Parameter(name="width", value=5.0, unit="m", min=0, max=50)
 
         area = Parameter.from_dependency(
-            name='area',
-            dependency_expression='length * width',
-            dependency_map={'length': length, 'width': width},
-            unit='m^2',
+            name="area",
+            dependency_expression="length * width",
+            dependency_map={"length": length, "width": width},
+            unit="m^2",
         )
 
         # Serialize to JSON
         params_data = {
-            'length': length.as_dict(),
-            'width': width.as_dict(),
-            'area': area.as_dict(),
+            "length": length.as_dict(),
+            "width": width.as_dict(),
+            "area": area.as_dict(),
         }
         json_str = json.dumps(params_data, default=str)
 
@@ -254,26 +260,26 @@ def test_json_serialization_roundtrip(self, clear_global_map):
         resolve_all_parameter_dependencies(new_params)
 
         # Test functionality
-        assert new_params['area'].value == 50.0  # 10 * 5
+        assert new_params["area"].value == 50.0  # 10 * 5
 
         # Test dependency updates
-        new_params['length'].value = 20.0
-        assert new_params['area'].value == 100.0  # 20 * 5
+        new_params["length"].value = 20.0
+        assert new_params["area"].value == 100.0  # 20 * 5
 
     def test_multiple_dependent_parameters(self, clear_global_map):
         """Test serialization with multiple dependent parameters."""
         # Create a chain of dependencies
-        x = Parameter(name='x', value=2.0, unit='m', min=0, max=10)
+        x = Parameter(name="x", value=2.0, unit="m", min=0, max=10)
 
         y = Parameter.from_dependency(
-            name='y', dependency_expression='2 * x', dependency_map={'x': x}, unit='m'
+            name="y", dependency_expression="2 * x", dependency_map={"x": x}, unit="m"
         )
 
         z = Parameter.from_dependency(
-            name='z',
-            dependency_expression='y + x',
-            dependency_map={'y': y, 'x': x},
-            unit='m',
+            name="z",
+            dependency_expression="y + x",
+            dependency_map={"y": y, "x": x},
+            unit="m",
         )
 
         # Verify original chain works
@@ -281,7 +287,7 @@ def test_multiple_dependent_parameters(self, clear_global_map):
         assert z.value == 6.0  # 4 + 2
 
         # Serialize all
-        params_data = {'x': x.as_dict(), 'y': y.as_dict(), 'z': z.as_dict()}
+        params_data = {"x": x.as_dict(), "y": y.as_dict(), "z": z.as_dict()}
 
         # Deserialize and resolve
         global_object.map._clear()
@@ -292,13 +298,13 @@ def test_multiple_dependent_parameters(self, clear_global_map):
         resolve_all_parameter_dependencies(new_params)
 
         # Test chain still works
-        assert new_params['y'].value == 4.0
-        assert new_params['z'].value == 6.0
+        assert new_params["y"].value == 4.0
+        assert new_params["z"].value == 6.0
 
         # Test cascade updates
-        new_params['x'].value = 5.0
-        assert new_params['y'].value == 10.0  # 2 * 5
-        assert new_params['z'].value == 15.0  # 10 + 5
+        new_params["x"].value = 5.0
+        assert new_params["y"].value == 10.0  # 2 * 5
+        assert new_params["z"].value == 15.0  # 10 + 5
 
     def test_dependency_with_descriptor_number(self, clear_global_map):
         """Test that dependencies involving DescriptorNumber serialize correctly."""
@@ -306,12 +312,12 @@ def test_dependency_with_descriptor_number(self, clear_global_map):
 
         # When
 
-        x = DescriptorNumber(name='x', value=3.0, unit='m')
-        y = Parameter(name='y', value=4.0, unit='m')
+        x = DescriptorNumber(name="x", value=3.0, unit="m")
+        y = Parameter(name="y", value=4.0, unit="m")
         z = Parameter.from_dependency(
-            name='z',
-            dependency_expression='x + y',
-            dependency_map={'x': x, 'y': y},
+            name="z",
+            dependency_expression="x + y",
+            dependency_map={"x": x, "y": y},
         )
 
         # Verify original functionality
@@ -319,12 +325,12 @@ def test_dependency_with_descriptor_number(self, clear_global_map):
 
         # Then
         # Serialize all
-        params_data = {'x': x.as_dict(), 'y': y.as_dict(), 'z': z.as_dict()}
+        params_data = {"x": x.as_dict(), "y": y.as_dict(), "z": z.as_dict()}
         # Deserialize and resolve
         global_object.map._clear()
         new_params = {}
         for name, data in params_data.items():
-            if name == 'x':
+            if name == "x":
                 new_params[name] = DescriptorNumber.from_dict(data)
             else:
                 new_params[name] = Parameter.from_dict(data)
@@ -333,24 +339,24 @@ def test_dependency_with_descriptor_number(self, clear_global_map):
 
         # Expect
         # Test that functionality still works
-        assert new_params['z'].value == 7.0  # 3 + 4
-        new_x = new_params['x']
-        new_y = new_params['y']
+        assert new_params["z"].value == 7.0  # 3 + 4
+        new_x = new_params["x"]
+        new_y = new_params["y"]
         new_x.value = 4.0
-        assert new_params['z'].value == 8.0  # 4 + 4
+        assert new_params["z"].value == 8.0  # 4 + 4
         new_y.value = 6.0
-        assert new_params['z'].value == 10.0  # 4 + 6
+        assert new_params["z"].value == 10.0  # 4 + 6
 
     def test_get_parameters_with_pending_dependencies(self, clear_global_map):
         """Test utility function for finding parameters with pending dependencies."""
         # Create parameters
-        a = Parameter(name='a', value=1.0, unit='m')
+        a = Parameter(name="a", value=1.0, unit="m")
         b = Parameter.from_dependency(
-            name='b', dependency_expression='2 * a', dependency_map={'a': a}, unit='m'
+            name="b", dependency_expression="2 * a", dependency_map={"a": a}, unit="m"
         )
 
         # Serialize and deserialize
-        params_data = {'a': a.as_dict(), 'b': b.as_dict()}
+        params_data = {"a": a.as_dict(), "b": b.as_dict()}
         global_object.map._clear()
         new_params = {}
         for name, data in params_data.items():
@@ -360,8 +366,8 @@ def test_get_parameters_with_pending_dependencies(self, clear_global_map):
         pending = get_parameters_with_pending_dependencies(new_params)
 
         assert len(pending) == 1
-        assert pending[0].name == 'b'
-        assert hasattr(pending[0], '_pending_dependency_string')
+        assert pending[0].name == "b"
+        assert hasattr(pending[0], "_pending_dependency_string")
 
         # After resolution, should be empty
         resolve_all_parameter_dependencies(new_params)
@@ -370,9 +376,9 @@ def test_get_parameters_with_pending_dependencies(self, clear_global_map):
 
     def test_error_handling_missing_dependency(self, clear_global_map):
         """Test error handling when dependency cannot be resolved."""
-        a = Parameter(name='a', value=1.0, unit='m')
+        a = Parameter(name="a", value=1.0, unit="m")
         b = Parameter.from_dependency(
-            name='b', dependency_expression='2 * a', dependency_map={'a': a}, unit='m'
+            name="b", dependency_expression="2 * a", dependency_map={"a": a}, unit="m"
         )
 
         # Serialize b but not a
@@ -383,7 +389,9 @@ def test_error_handling_missing_dependency(self, clear_global_map):
         new_b = Parameter.from_dict(b_data)
 
         # Should raise error when trying to resolve
-        with pytest.raises(ValueError, match='Cannot find parameter with serializer_id'):
+        with pytest.raises(
+            ValueError, match="Cannot find parameter with serializer_id"
+        ):
             new_b.resolve_pending_dependencies()
 
     def test_backward_compatibility_base_deserializer(self, clear_global_map):
@@ -391,9 +399,9 @@ def test_backward_compatibility_base_deserializer(self, clear_global_map):
         from easyscience.io.serializer_dict import SerializerDict
 
         # Create dependent parameter
-        a = Parameter(name='a', value=2.0, unit='m')
+        a = Parameter(name="a", value=2.0, unit="m")
         b = Parameter.from_dependency(
-            name='b', dependency_expression='3 * a', dependency_map={'a': a}, unit='m'
+            name="b", dependency_expression="3 * a", dependency_map={"a": a}, unit="m"
         )
 
         # Use base serializer path (SerializerDict.decode)
@@ -405,31 +413,31 @@ def test_backward_compatibility_base_deserializer(self, clear_global_map):
 
         # Should be a valid Parameter (but without dependency resolution)
         assert isinstance(deserialized, Parameter)
-        assert deserialized.name == 'b'
+        assert deserialized.name == "b"
         assert deserialized.independent is True  # Base path doesn't handle dependencies
 
     @pytest.mark.parametrize(
-        'order',
-        [['x', 'y', 'z'], ['z', 'x', 'y'], ['y', 'z', 'x'], ['z', 'y', 'x']],
+        "order",
+        [["x", "y", "z"], ["z", "x", "y"], ["y", "z", "x"], ["z", "y", "x"]],
         ids=[
-            'normal_order',
-            'dependent_first',
-            'mixed_order',
-            'dependent_first_reverse',
+            "normal_order",
+            "dependent_first",
+            "mixed_order",
+            "dependent_first_reverse",
         ],
     )
     def test_serializer_id_system_order_independence(self, clear_global_map, order):
         """Test that dependency IDs allow parameters to be loaded in any order."""
         # WHEN
         # Create parameters with dependencies
-        x = Parameter(name='x', value=5.0, unit='m', min=0, max=20)
-        y = Parameter(name='y', value=10.0, unit='m', min=0, max=30)
+        x = Parameter(name="x", value=5.0, unit="m", min=0, max=20)
+        y = Parameter(name="y", value=10.0, unit="m", min=0, max=30)
 
         z = Parameter.from_dependency(
-            name='z',
-            dependency_expression='x * y',
-            dependency_map={'x': x, 'y': y},
-            unit='m^2',
+            name="z",
+            dependency_expression="x * y",
+            dependency_map={"x": x, "y": y},
+            unit="m^2",
         )
 
         # Verify original functionality
@@ -440,13 +448,13 @@ def test_serializer_id_system_order_independence(self, clear_global_map, order):
         y_dep_id = y._DescriptorNumber__serializer_id
 
         # Serialize all parameters
-        params_data = {'x': x.as_dict(), 'y': y.as_dict(), 'z': z.as_dict()}
+        params_data = {"x": x.as_dict(), "y": y.as_dict(), "z": z.as_dict()}
 
         # Verify dependency IDs are in serialized data
-        assert params_data['x']['__serializer_id'] == x_dep_id
-        assert params_data['y']['__serializer_id'] == y_dep_id
-        assert '__serializer_id' not in params_data['z']
-        assert '_dependency_map_serializer_ids' in params_data['z']
+        assert params_data["x"]["__serializer_id"] == x_dep_id
+        assert params_data["y"]["__serializer_id"] == y_dep_id
+        assert "__serializer_id" not in params_data["z"]
+        assert "_dependency_map_serializer_ids" in params_data["z"]
 
         # THEN
         global_object.map._clear()
@@ -458,41 +466,41 @@ def test_serializer_id_system_order_independence(self, clear_global_map, order):
 
         # EXPECT
         # Verify dependency IDs are preserved
-        assert new_params['x']._DescriptorNumber__serializer_id == x_dep_id
-        assert new_params['y']._DescriptorNumber__serializer_id == y_dep_id
+        assert new_params["x"]._DescriptorNumber__serializer_id == x_dep_id
+        assert new_params["y"]._DescriptorNumber__serializer_id == y_dep_id
 
         # Resolve dependencies
         resolve_all_parameter_dependencies(new_params)
 
         # Verify functionality regardless of loading order
-        assert new_params['z'].independent is False
-        assert new_params['z'].value == 50.0
+        assert new_params["z"].independent is False
+        assert new_params["z"].value == 50.0
 
         # Test dependency updates still work
-        new_params['x'].value = 6.0
-        assert new_params['z'].value == 60.0  # 6 * 10
+        new_params["x"].value = 6.0
+        assert new_params["z"].value == 60.0  # 6 * 10
 
-        new_params['y'].value = 8.0
-        assert new_params['z'].value == 48.0  # 6 * 8
+        new_params["y"].value = 8.0
+        assert new_params["z"].value == 48.0  # 6 * 8
 
     def test_deserialize_and_resolve_parameters_helper(self, clear_global_map):
         """Test the convenience helper function for deserialization and dependency resolution."""
         # Create test parameters with dependencies
-        a = Parameter(name='a', value=2.0, unit='m', min=0, max=10)
-        b = Parameter(name='b', value=3.0, unit='m', min=0, max=10)
+        a = Parameter(name="a", value=2.0, unit="m", min=0, max=10)
+        b = Parameter(name="b", value=3.0, unit="m", min=0, max=10)
 
         c = Parameter.from_dependency(
-            name='c',
-            dependency_expression='a + b',
-            dependency_map={'a': a, 'b': b},
-            unit='m',
+            name="c",
+            dependency_expression="a + b",
+            dependency_map={"a": a, "b": b},
+            unit="m",
         )
 
         # Verify original dependency works
         assert c.value == 5.0  # 2 + 3
 
         # Serialize all parameters
-        params_data = {'a': a.as_dict(), 'b': b.as_dict(), 'c': c.as_dict()}
+        params_data = {"a": a.as_dict(), "b": b.as_dict(), "c": c.as_dict()}
 
         # Clear global map
         global_object.map._clear()
@@ -502,27 +510,27 @@ def test_deserialize_and_resolve_parameters_helper(self, clear_global_map):
 
         # Verify all parameters are correctly deserialized and dependencies resolved
         assert len(new_params) == 3
-        assert 'a' in new_params
-        assert 'b' in new_params
-        assert 'c' in new_params
+        assert "a" in new_params
+        assert "b" in new_params
+        assert "c" in new_params
 
         # Check that independent parameters work
-        assert new_params['a'].name == 'a'
-        assert new_params['a'].value == 2.0
-        assert new_params['a'].independent is True
+        assert new_params["a"].name == "a"
+        assert new_params["a"].value == 2.0
+        assert new_params["a"].independent is True
 
-        assert new_params['b'].name == 'b'
-        assert new_params['b'].value == 3.0
-        assert new_params['b'].independent is True
+        assert new_params["b"].name == "b"
+        assert new_params["b"].value == 3.0
+        assert new_params["b"].independent is True
 
         # Check that dependent parameter is properly resolved
-        assert new_params['c'].name == 'c'
-        assert new_params['c'].value == 5.0  # 2 + 3
-        assert new_params['c'].independent is False
+        assert new_params["c"].name == "c"
+        assert new_params["c"].value == 5.0  # 2 + 3
+        assert new_params["c"].independent is False
 
         # Verify dependency still works after helper function
-        new_params['a'].value = 10.0
-        assert new_params['c'].value == 13.0  # 10 + 3
+        new_params["a"].value = 10.0
+        assert new_params["c"].value == 13.0  # 10 + 3
 
         # Verify no pending dependencies remain
         pending = get_parameters_with_pending_dependencies(new_params)
diff --git a/tools/add_spdx.py b/tools/add_spdx.py
deleted file mode 100644
index 295a7e0d..00000000
--- a/tools/add_spdx.py
+++ /dev/null
@@ -1,149 +0,0 @@
-"""Add SPDX headers to Python files.
-
-- SPDX-FileCopyrightText with the license holder name and organization
-  URL from ``pyproject.toml`` as well as the file's creation year.
-- SPDX-License-Identifier is taken from the project license value in
-  ``pyproject.toml``.
-"""
-
-from __future__ import annotations
-
-import argparse
-import tomllib
-from datetime import datetime
-from pathlib import Path
-from typing import Optional
-from typing import Union
-
-from git import Repo
-from spdx_headers.core import find_repository_root
-from spdx_headers.core import get_copyright_info
-from spdx_headers.data import load_license_data
-from spdx_headers.operations import add_header_to_single_file
-
-LICENSE_DATABASE = load_license_data()
-
-
-def load_pyproject(repo_path: Union[str, Path]) -> dict:
-    """Load and return parsed ``pyproject.toml`` data for the
-    repository.
-    """
-    repo_root = find_repository_root(repo_path)
-    pyproject_path = repo_root / 'pyproject.toml'
-
-    with open(pyproject_path, 'rb') as file_handle:
-        return tomllib.load(file_handle)
-
-
-def get_file_creation_year(file_path: Union[str, Path]) -> str:
-    """Return the year the file was first added to Git history.
-
-    If the year cannot be determined, fall back to the current year.
-    """
-    file_path = Path(file_path)
-
-    repo = Repo(file_path, search_parent_directories=True)
-    root = Path(repo.working_tree_dir).resolve()
-    rel_path = file_path.resolve().relative_to(root)
-
-    rel_path_git = rel_path.as_posix()  # IMPORTANT for git pathspec
-
-    # Get the year when the file was first added to Git history.
-    # NOTE: Do not combine `--reverse` with `--max-count=1` here, as it can
-    # yield an empty result with some Git versions. Instead, get the full
-    # filtered output and take the first line.
-    log_output = repo.git.log(
-        '--follow',
-        '--diff-filter=A',
-        '--reverse',
-        '--format=%ad',
-        '--date=format:%Y',
-        '--',
-        rel_path_git,
-    ).strip()
-
-    year = log_output.splitlines()[0].strip() if log_output else ''
-
-    return year or str(datetime.now().year)
-
-
-def get_org_url(repo_path: Union[str, Path]) -> str:
-    """Return the organization URL derived from the repository source
-    URL.
-    """
-    pyproject_data = load_pyproject(repo_path)
-    repo_url = pyproject_data['project']['urls']['Source Code']
-    return repo_url.rsplit('/', 1)[0]
-
-
-def get_project_license(repo_path: Union[str, Path]) -> str:
-    """Return the project license value from ``pyproject.toml``."""
-    pyproject_data = load_pyproject(repo_path)
-    return pyproject_data['project']['license']
-
-
-def get_copyright_holder(repo_path: Union[str, Path]) -> str:
-    """Return the repository copyright holder name."""
-    _, name, _ = get_copyright_info(repo_path)
-    return name
-
-
-def add_spdx_header(
-    target_file: Union[str, Path],
-    *,
-    license_key: str,
-    copyright_holder: str,
-    org_url: str,
-) -> None:
-    """Add SPDX headers."""
-    year = get_file_creation_year(target_file)
-
-    add_header_to_single_file(
-        filepath=target_file,
-        license_key=license_key,
-        license_data=LICENSE_DATABASE,
-        year=year,
-        name=copyright_holder,
-        email=org_url,
-    )
-
-
-def build_parser() -> argparse.ArgumentParser:
-    parser = argparse.ArgumentParser(
-        description='Add SPDX headers to Python files under the given paths.',
-    )
-    parser.add_argument(
-        'paths',
-        nargs='+',
-        help='Relative paths to scan (e.g. src tests)',
-    )
-    return parser
-
-
-def main(argv: Optional[list[str]] = None) -> int:
-    parser = build_parser()
-    args = parser.parse_args(argv)
-
-    repo_path = Path('.').resolve()
-    license_key = get_project_license(repo_path)
-    copyright_holder = get_copyright_holder(repo_path)
-    org_url = get_org_url(repo_path)
-
-    for base_dir in args.paths:
-        base_path = Path(base_dir)
-        if not base_path.exists():
-            parser.error(f'Path does not exist: {base_dir}')
-
-        for py_file in base_path.rglob('*.py'):
-            add_spdx_header(
-                py_file,
-                license_key=license_key,
-                copyright_holder=copyright_holder,
-                org_url=org_url,
-            )
-
-    return 0
-
-
-if __name__ == '__main__':
-    raise SystemExit(main())
diff --git a/tools/check_spdx.py b/tools/check_spdx.py
deleted file mode 100644
index 80555ab1..00000000
--- a/tools/check_spdx.py
+++ /dev/null
@@ -1,43 +0,0 @@
-"""Check SPDX headers in Python files."""
-
-from __future__ import annotations
-
-import argparse
-from pathlib import Path
-from typing import Optional
-
-from spdx_headers.operations import check_headers
-
-
-def build_parser() -> argparse.ArgumentParser:
-    parser = argparse.ArgumentParser(
-        description='Check SPDX headers in Python files under the given paths.',
-    )
-    parser.add_argument(
-        'paths',
-        nargs='+',
-        help='Relative paths to scan (e.g. src tests)',
-    )
-    return parser
-
-
-def main(argv: Optional[list[str]] = None) -> int:
-    parser = build_parser()
-    args = parser.parse_args(argv)
-
-    exit_codes = []
-
-    for base_dir in args.paths:
-        base_path = Path(base_dir)
-        if not base_path.exists():
-            parser.error(f'Path does not exist: {base_dir}')
-
-        print('=' * 50)
-        print(f'Checking SPDX headers in: {base_dir}')
-        exit_codes.append(check_headers(base_dir))
-
-    return 0 if all(code == 0 for code in exit_codes) else 1
-
-
-if __name__ == '__main__':
-    raise SystemExit(main())
diff --git a/tools/remove_spdx.py b/tools/remove_spdx.py
deleted file mode 100644
index 50e547a7..00000000
--- a/tools/remove_spdx.py
+++ /dev/null
@@ -1,39 +0,0 @@
-"""Remove SPDX headers from Python files."""
-
-from __future__ import annotations
-
-import argparse
-from pathlib import Path
-from typing import Optional
-
-from spdx_headers.operations import remove_header_from_py_files
-
-
-def build_parser() -> argparse.ArgumentParser:
-    parser = argparse.ArgumentParser(
-        description='Remove SPDX headers from Python files under the given paths.',
-    )
-    parser.add_argument(
-        'paths',
-        nargs='+',
-        help='Relative paths to scan (e.g. src tests)',
-    )
-    return parser
-
-
-def main(argv: Optional[list[str]] = None) -> int:
-    parser = build_parser()
-    args = parser.parse_args(argv)
-
-    for base_dir in args.paths:
-        base_path = Path(base_dir)
-        if not base_path.exists():
-            parser.error(f'Path does not exist: {base_dir}')
-
-        remove_header_from_py_files(base_dir)
-
-    return 0
-
-
-if __name__ == '__main__':
-    raise SystemExit(main())
diff --git a/tools/test_scripts.py b/tools/test_scripts.py
deleted file mode 100644
index 2d347579..00000000
--- a/tools/test_scripts.py
+++ /dev/null
@@ -1,55 +0,0 @@
-"""Test runner for tutorial scripts in the 'tutorials' directory.
-
-This test discovers and executes all Python scripts located under the
-'tutorials' directory to ensure they run without errors.
-
-Important: each script must be executed in a fresh Python process.
-Running many tutorials in-process (e.g. via runpy) leaks global state
-between scripts (notably cached calculator dictionaries keyed only by
-model/experiment names), which can cause false failures.
-"""
-
-import os
-import subprocess  # noqa: S404
-import sys
-from pathlib import Path
-
-import pytest
-
-_repo_root = Path(__file__).resolve().parents[1]
-_src_root = _repo_root / 'src'
-
-# Discover tutorial scripts, excluding temporary checkpoint files
-TUTORIALS = [
-    p for p in Path('docs/docs/tutorials').rglob('*.py') if '.ipynb_checkpoints' not in p.parts
-]
-
-
-@pytest.mark.parametrize('script_path', TUTORIALS)
-def test_script_runs(script_path: Path):
-    """Execute a tutorial script and fail if it raises an exception.
-
-    Each script is run in the context of __main__ to mimic standalone
-    execution.
-    """
-    env = os.environ.copy()
-    if _src_root.exists():
-        existing = env.get('PYTHONPATH', '')
-        env['PYTHONPATH'] = (
-            str(_src_root) if not existing else str(_src_root) + os.pathsep + existing
-        )
-
-    # This is a test harness executing repo-local tutorial scripts.
-    # We intentionally use subprocess isolation to prevent cross-test
-    # global state leaks (e.g. calculator caches) that can cause false
-    # failures when running tutorials in a shared interpreter.
-    result = subprocess.run(  # noqa: S603
-        [sys.executable, str(script_path)],
-        cwd=str(_repo_root),
-        env=env,
-        capture_output=True,
-        text=True,
-    )
-    if result.returncode != 0:
-        details = (result.stdout or '') + (result.stderr or '')
-        pytest.fail(f'{script_path}\n{details.strip()}')
diff --git a/tools/update_docs_assets.py b/tools/update_docs_assets.py
deleted file mode 100644
index 26c7c41b..00000000
--- a/tools/update_docs_assets.py
+++ /dev/null
@@ -1,91 +0,0 @@
-"""
-Update documentation assets from the assets-branding repository.
-
-This script fetches branding assets (logos, icons, images) from the
-easyscience/assets-branding GitHub repository and copies them to the
-appropriate locations in the documentation directory.
-"""
-
-import shutil
-from pathlib import Path
-
-import pooch
-
-# Configuration: Define what to fetch and where to copy
-GITHUB_REPO = 'easyscience/assets-branding'
-GITHUB_BRANCH = 'master'
-BASE_URL = f'https://raw.githubusercontent.com/{GITHUB_REPO}/refs/heads/{GITHUB_BRANCH}'
-PROJECT_NAME = 'easyscience'
-
-# Mapping of source files to destination paths
-# Format: "source_path_in_repo": "destination_path_in_project"
-ASSETS_MAP = {
-    # Logos
-    f'{PROJECT_NAME}/logos/dark.svg': 'docs/docs/assets/images/logo_dark.svg',
-    f'{PROJECT_NAME}/logos/light.svg': 'docs/docs/assets/images/logo_light.svg',
-    # Favicon
-    f'{PROJECT_NAME}/icons/color.png': 'docs/docs/assets/images/favicon.png',
-    # Icon overrides
-    f'{PROJECT_NAME}/icons/bw.svg': f'docs/overrides/.icons/{PROJECT_NAME}.svg',
-    'easyscience-org/icons/eso-icon_bw.svg': 'docs/overrides/.icons/easyscience.svg',
-}
-
-
-def fetch_and_copy_asset(
-    source_path: str,
-    dest_path: str,
-    cache_dir: Path,
-) -> None:
-    """
-    Fetch an asset from GitHub and copy it to the destination.
-
-    Args:
-        source_path: Path to the file in the GitHub repository
-        dest_path: Destination path in the project
-        cache_dir: Directory to cache downloaded files
-    """
-    url = f'{BASE_URL}/{source_path}'
-
-    # Create a unique cache filename based on source path
-    cache_filename = source_path.replace('/', '_')
-
-    # Download file using pooch
-    file_path = pooch.retrieve(
-        url=url,
-        known_hash=None,  # Skip hash verification
-        path=cache_dir,
-        fname=cache_filename,
-    )
-
-    # Create destination directory if it doesn't exist
-    dest = Path(dest_path)
-    dest.parent.mkdir(parents=True, exist_ok=True)
-
-    # Copy the file to destination
-    shutil.copy2(file_path, dest)
-    print(f'Copied {file_path} -> {dest_path}')
-
-
-def main():
-    """Main function to update all documentation assets."""
-    print('📥 Updating documentation assets...')
-    print(f'   Repository: {GITHUB_REPO}')
-    print(f'   Branch: {GITHUB_BRANCH}\n')
-
-    # Use a temporary cache directory
-    cache_dir = Path.home() / '.cache' / GITHUB_REPO
-    cache_dir.mkdir(parents=True, exist_ok=True)
-
-    # Fetch and copy each asset
-    for source_path, dest_path in ASSETS_MAP.items():
-        try:
-            fetch_and_copy_asset(source_path, dest_path, cache_dir)
-            print()
-        except Exception as e:
-            print(f'❌ Failed to fetch {source_path}: {e}')
-
-    print('\n✅ Documentation assets updated successfully!')
-
-
-if __name__ == '__main__':
-    main()
diff --git a/tools/update_github_labels.py b/tools/update_github_labels.py
deleted file mode 100644
index 8ec8c2d7..00000000
--- a/tools/update_github_labels.py
+++ /dev/null
@@ -1,339 +0,0 @@
-"""Set/update GitHub labels for current or specified easyscience
-repository.
-
-Requires:
-  - gh CLI installed
-  - gh auth login completed
-
-Usage:
-  python update_github_labels.py
-  python update_github_labels.py --dry-run
-  python update_github_labels.py --repo easyscience/my-repo
-  python update_github_labels.py --repo easyscience/my-repo --dry-run
-"""
-
-from __future__ import annotations
-
-import argparse
-import json
-import shlex
-import subprocess
-import sys
-from dataclasses import dataclass
-
-EASYSCIENCE_ORG = 'easyscience'
-
-
-# Data structures
-
-
-@dataclass(frozen=True)
-class Label:
-    """A GitHub label with name, color, and description."""
-
-    name: str
-    color: str
-    description: str = ''
-
-
-@dataclass(frozen=True)
-class LabelRename:
-    """Mapping from old label name to new label name."""
-
-    old: str
-    new: str
-
-
-class Colors:
-    """Hex color codes for label groups."""
-
-    SCOPE = 'd73a4a'
-    MAINTAINER = '0e8a16'
-    PRIORITY = 'fbca04'
-    BOT = '5319e7'
-
-
-LABEL_RENAMES = [
-    # Default GitHub labels to rename (if they exist)
-    LabelRename('bug', '[scope] bug'),
-    LabelRename('documentation', '[scope] documentation'),
-    LabelRename('duplicate', '[maintainer] duplicate'),
-    LabelRename('enhancement', '[scope] enhancement'),
-    LabelRename('good first issue', '[maintainer] good first issue'),
-    LabelRename('help wanted', '[maintainer] help wanted'),
-    LabelRename('invalid', '[maintainer] invalid'),
-    LabelRename('question', '[maintainer] question'),
-    LabelRename('wontfix', '[maintainer] wontfix'),
-    # Custom label renames (if they exist)
-    LabelRename('[bot] pull request', '[bot] release'),
-]
-
-LABELS = [
-    # Scope labels
-    Label(
-        '[scope] bug',
-        Colors.SCOPE,
-        'Bug report or fix (major.minor.PATCH)',
-    ),
-    Label(
-        '[scope] documentation',
-        Colors.SCOPE,
-        'Documentation only changes (major.minor.patch.POST)',
-    ),
-    Label(
-        '[scope] enhancement',
-        Colors.SCOPE,
-        'Adds/improves features (major.MINOR.patch)',
-    ),
-    Label(
-        '[scope] maintenance',
-        Colors.SCOPE,
-        'Code/tooling cleanup, no feature or bugfix (major.minor.PATCH)',
-    ),
-    Label(
-        '[scope] significant',
-        Colors.SCOPE,
-        'Breaking or major changes (MAJOR.minor.patch)',
-    ),
-    Label(
-        '[scope] ⚠️ label needed',
-        Colors.SCOPE,
-        'Automatically added to issues and PRs without a [scope] label',
-    ),
-    # Maintainer labels
-    Label(
-        '[maintainer] duplicate',
-        Colors.MAINTAINER,
-        'Already reported or submitted',
-    ),
-    Label(
-        '[maintainer] good first issue',
-        Colors.MAINTAINER,
-        'Good entry-level issue for newcomers',
-    ),
-    Label(
-        '[maintainer] help wanted',
-        Colors.MAINTAINER,
-        'Needs additional help to resolve or implement',
-    ),
-    Label(
-        '[maintainer] invalid',
-        Colors.MAINTAINER,
-        'Invalid, incorrect or outdated',
-    ),
-    Label(
-        '[maintainer] question',
-        Colors.MAINTAINER,
-        'Needs clarification, discussion, or more information',
-    ),
-    Label(
-        '[maintainer] wontfix',
-        Colors.MAINTAINER,
-        'Will not be fixed or continued',
-    ),
-    # Priority labels
-    Label(
-        '[priority] lowest',
-        Colors.PRIORITY,
-        'Very low urgency',
-    ),
-    Label(
-        '[priority] low',
-        Colors.PRIORITY,
-        'Low importance',
-    ),
-    Label(
-        '[priority] medium',
-        Colors.PRIORITY,
-        'Normal/default priority',
-    ),
-    Label(
-        '[priority] high',
-        Colors.PRIORITY,
-        'Should be prioritized soon',
-    ),
-    Label(
-        '[priority] highest',
-        Colors.PRIORITY,
-        'Urgent. Needs attention ASAP',
-    ),
-    Label(
-        '[priority] ⚠️ label needed',
-        Colors.PRIORITY,
-        'Automatically added to issues without a [priority] label',
-    ),
-    # Bot label
-    Label(
-        '[bot] release',
-        Colors.BOT,
-        'Automated release PR. Excluded from changelog/versioning',
-    ),
-    Label(
-        '[bot] backmerge',
-        Colors.BOT,
-        'Automated backmerge master → develop failed due to conflicts',
-    ),
-]
-
-
-# Helpers
-
-
-@dataclass(frozen=True)
-class CmdResult:
-    """Result of a shell command execution."""
-
-    returncode: int
-    stdout: str
-    stderr: str
-
-
-def run_cmd(
-    args: list[str],
-    *,
-    dry_run: bool,
-    check: bool = True,
-) -> CmdResult:
-    """Run a command (or print it in dry-run mode)."""
-    cmd_str = ' '.join(shlex.quote(a) for a in args)
-
-    if dry_run:
-        print(f'  [dry-run] {cmd_str}')
-        return CmdResult(0, '', '')
-
-    proc = subprocess.run(
-        args=args,
-        text=True,
-        capture_output=True,
-    )
-    result = CmdResult(
-        proc.returncode,
-        proc.stdout.strip(),
-        proc.stderr.strip(),
-    )
-
-    if check and proc.returncode != 0:
-        raise RuntimeError(f'Command failed ({proc.returncode}): {cmd_str}\n{result.stderr}')
-
-    return result
-
-
-def get_current_repo() -> str:
-    """Get the current repository name in 'owner/repo' format."""
-    result = subprocess.run(
-        args=[
-            'gh',
-            'repo',
-            'view',
-            '--json',
-            'nameWithOwner',
-        ],
-        text=True,
-        capture_output=True,
-        check=True,
-    )
-    data = json.loads(result.stdout)
-    name_with_owner = data.get('nameWithOwner', '')
-
-    if '/' not in name_with_owner:
-        raise RuntimeError('Could not determine current repository name')
-
-    return name_with_owner
-
-
-def rename_label(
-    repo: str,
-    rename: LabelRename,
-    *,
-    dry_run: bool,
-) -> None:
-    """Rename a label, silently skipping if it doesn't exist."""
-    result = run_cmd(
-        args=[
-            'gh',
-            'label',
-            'edit',
-            rename.old,
-            '--name',
-            rename.new,
-            '--repo',
-            repo,
-        ],
-        dry_run=dry_run,
-        check=False,
-    )
-
-    if dry_run or result.returncode == 0:
-        print(f'  Rename: {rename.old!r} → {rename.new!r}')
-    else:
-        print(f'  Skip (not found): {rename.old!r}')
-
-
-def upsert_label(
-    repo: str,
-    label: Label,
-    *,
-    dry_run: bool,
-) -> None:
-    """Create or update a label."""
-    run_cmd(
-        [
-            'gh',
-            'label',
-            'create',
-            label.name,
-            '--color',
-            label.color,
-            '--description',
-            label.description,
-            '--force',
-            '--repo',
-            repo,
-        ],
-        dry_run=dry_run,
-    )
-    print(f'  Upsert: {label.name!r}')
-
-
-# Main
-
-
-def main() -> int:
-    """Entry point: parse arguments and sync labels."""
-    parser = argparse.ArgumentParser(description='Sync GitHub labels for easyscience repos')
-    parser.add_argument(
-        '--repo',
-        help='Target repository (owner/name)',
-    )
-    parser.add_argument(
-        '--dry-run',
-        action='store_true',
-        help='Print actions without applying changes',
-    )
-    args = parser.parse_args()
-
-    repo = args.repo or get_current_repo()
-    org = repo.split('/')[0]
-
-    if org.lower() != EASYSCIENCE_ORG:
-        print(f"Error: repository '{repo}' is not under '{EASYSCIENCE_ORG}'", file=sys.stderr)
-        return 2
-
-    print(f'Repository: {repo}')
-    if args.dry_run:
-        print('Mode: DRY-RUN (no changes will be made)\n')
-
-    print('\nRenaming default labels...')
-    for rename in LABEL_RENAMES:
-        rename_label(repo, rename, dry_run=args.dry_run)
-
-    print('\nUpserting labels...')
-    for label in LABELS:
-        upsert_label(repo, label, dry_run=args.dry_run)
-
-    print('\nDone.')
-    return 0
-
-
-if __name__ == '__main__':
-    raise SystemExit(main())