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Merge branch 'main' into ajb/forecasting_cov
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.github/workflows/periodic_tests.yml

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with:
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python-version: ${{ matrix.python-version }}
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- name: Clear disik space
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uses: jlumbroso/[email protected]
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with:
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dotnet: false
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large-packages: false
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swap-storage: false
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- name: Set swap space
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if: runner.os == 'Linux'
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uses: pierotofy/[email protected]
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with:
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swap-size-gb: 6
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swap-size-gb: 8
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- name: Use numba cache to set env variables but not restore cache
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uses: ./.github/actions/numba_cache

.github/workflows/pr_pytest.yml

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with:
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python-version: ${{ matrix.python-version }}
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- name: Clear disik space
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uses: jlumbroso/[email protected]
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with:
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dotnet: false
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large-packages: false
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swap-storage: false
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- name: Set swap space
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if: runner.os == 'Linux'
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uses: pierotofy/[email protected]
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with:
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swap-size-gb: 6
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swap-size-gb: 8
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- if: ${{ github.event_name != 'pull_request' || !contains(github.event.pull_request.labels.*.name, 'no numba cache') }}
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name: Restore numba cache

.github/workflows/release.yml

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with:
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python-version: ${{ matrix.python-version }}
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- name: Clear disik space
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uses: jlumbroso/[email protected]
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with:
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dotnet: false
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large-packages: false
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swap-storage: false
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- name: Set swap space
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if: runner.os == 'Linux'
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uses: pierotofy/[email protected]
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with:
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swap-size-gb: 6
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swap-size-gb: 8
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- uses: actions/download-artifact@v4
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with:

.github/workflows/weekly_github_maintenance.yml

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private-key: ${{ secrets.PR_APP_KEY }}
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- name: Stale Branches
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uses: crs-k/[email protected].0
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uses: crs-k/[email protected].1
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with:
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repo-token: ${{ steps.app-token.outputs.token }}
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days-before-stale: 180

.pre-commit-config.yaml

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args: [ "--create", "--python-folders", "aeon" ]
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- repo: https://github.com/astral-sh/ruff-pre-commit
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rev: v0.12.4
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rev: v0.12.5
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hooks:
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- id: ruff
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args: [ "--fix"]

aeon/benchmarking/metrics/anomaly_detection/__init__.py

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"range_pr_auc_score",
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"range_pr_vus_score",
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"range_roc_vus_score",
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"ts_precision",
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"ts_recall",
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"ts_fscore",
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]
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from aeon.benchmarking.metrics.anomaly_detection._continuous import (
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range_precision,
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range_recall,
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)
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from aeon.benchmarking.metrics.anomaly_detection._range_ts_metrics import (
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ts_fscore,
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ts_precision,
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ts_recall,
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)
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from aeon.benchmarking.metrics.anomaly_detection._vus_metrics import (
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range_pr_auc_score,
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range_pr_roc_auc_support,

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