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https://github.com/p2p-ld/numpydantic.git
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Merge pull request #26 from p2p-ld/tests-linkml
[tests] Test against linkml numpydantic generator
This commit is contained in:
commit
b7f7140ec8
8 changed files with 597 additions and 425 deletions
67
.github/workflows/tests-linkml.yml
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67
.github/workflows/tests-linkml.yml
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name: LinkML Tests
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on:
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push:
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branches:
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- main
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pull_request:
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branches:
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- main
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jobs:
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test-linkml:
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strategy:
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matrix:
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platform: ["ubuntu-latest", "macos-latest", "windows-latest"]
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python-version: ["3.9", "3.12"]
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runs-on: ${{ matrix.platform }}
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steps:
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- name: Checkout LinkML
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uses: actions/checkout@v4
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with:
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repository: linkml/linkml
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path: linkml
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ref: main
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fetch-depth: 0
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- name: Checkout numpydantic
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uses: actions/checkout@v4
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with:
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path: numpydantic
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- name: Install poetry
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run: pipx install poetry
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- name: Install dynamic versioning plugin
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run: poetry self add "poetry-dynamic-versioning[plugin]"
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- name: Set up python
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uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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cache: poetry
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cache-dependency-path: |
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linkml/poetry.lock
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- name: Add checked out numpydantic to poetry deps
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working-directory: linkml
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run: poetry add '../numpydantic' --python='>=3.9' --editable
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- name: Install dependencies
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working-directory: linkml
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run: poetry install --no-interaction -E tests
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- name: Force uninstall and reinstall
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working-directory: linkml
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run: |
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poetry run pip uninstall -y numpydantic
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poetry run pip install -e ../numpydantic
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- name: print numpydantic version and path
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working-directory: linkml
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run: poetry run python -c 'import numpydantic; from importlib.metadata import version; print(numpydantic.__file__); print(version("numpydantic"))'
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- name: Run LinkML Numpydantic Tests
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run: poetry run python -m pytest -m pydanticgen_npd
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working-directory: linkml
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1
.github/workflows/tests.yml
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1
.github/workflows/tests.yml
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@ -11,6 +11,7 @@ on:
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jobs:
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jobs:
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test:
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test:
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strategy:
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strategy:
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fail-fast: false
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matrix:
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matrix:
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platform: ["ubuntu-latest", "macos-latest", "windows-latest"]
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platform: ["ubuntu-latest", "macos-latest", "windows-latest"]
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numpy-version: ["<2.0.0", ">=2.0.0"]
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numpy-version: ["<2.0.0", ">=2.0.0"]
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@ -4,6 +4,32 @@
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### 1.6.*
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### 1.6.*
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#### 1.6.2 - 24-09-35
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Very minor bugfix and CI release
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PR: https://github.com/p2p-ld/numpydantic/pull/26
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**Bugfix**
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- h5py v3.12.0 broke file locking, so a temporary maximum version cap was added
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until that is resolved. See [`h5py/h5py#2506`](https://github.com/h5py/h5py/issues/2506)
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and [`#27`](https://github.com/p2p-ld/numpydantic/issues/27)
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- The `_relativize_paths` function used in roundtrip dumping was incorrectly
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relativizing paths that are intended to refer to paths within a dataset,
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rather than a file. This, as well as windows-specific bugs was fixed so that
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directories that exist but are just below the filesystem root (like `/data`)
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are excluded. If this becomes a problem then we will have to make the
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relativization system a bit more robust by specifically enumerating which
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path-like things are *not* intended to be paths.
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**CI**
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- `numpydantic` was added as an array range generator in `linkml`
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([`linkml/linkml#2178`](https://github.com/linkml/linkml/pull/2178)),
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so tests were added to ensure that changes to `numpydantic` don't break
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linkml array range generation. `numpydantic`'s tests are naturally a
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superset of the behavior tested in `linkml`, but this is a good
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paranoia check in case we drift substantially (which shouldn't happen).
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#### 1.6.1 - 24-09-23 - Support Union Dtypes
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#### 1.6.1 - 24-09-23 - Support Union Dtypes
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It's now possible to do this, like it always should have been
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It's now possible to do this, like it always should have been
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@ -62,6 +62,31 @@ each interface, and that work is also ongoing. Once the test suite reaches
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maturity, it should be possible for any downstream interfaces to simply use those to
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maturity, it should be possible for any downstream interfaces to simply use those to
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ensure they are compatible with the latest version.
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ensure they are compatible with the latest version.
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## Platform/Dependency Versions
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### Python Version Support
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Numpydantic will support all versions of python that have not reached end-of-life
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status according to the official Python release cycle schedule:
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https://devguide.python.org/versions/
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Support for end-of-life Python versions will be dropped in the next release after
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that Python version reaches end-of-life status without deprecation warning.
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Support for new Python versions will be targeted as soon as possible after they
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are out of pre-release stage.
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Tests are run against the latest patch version for each active python minor version
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on Linux (ubuntu), and the latest patch version for the oldest and most recent minor
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versions on mac and windows (i.e. if python 3.9, 3.10, 3.11, and 3.12 are active,
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tests for mac and windows run against 3.9 and 3.12)
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### Numpy Version Support
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Numpydantic is currently tested against
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- The latest numpy version
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- The last numpy version <2.0.0
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## Release Schedule
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## Release Schedule
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There is no release schedule. Versions are released according to need and available labor.
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There is no release schedule. Versions are released according to need and available labor.
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@ -1,6 +1,6 @@
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[project]
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[project]
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name = "numpydantic"
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name = "numpydantic"
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version = "1.6.1"
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version = "1.6.2"
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description = "Type and shape validation and serialization for arbitrary array types in pydantic models"
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description = "Type and shape validation and serialization for arbitrary array types in pydantic models"
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authors = [
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authors = [
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{name = "sneakers-the-rat", email = "sneakers-the-rat@protonmail.com"},
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{name = "sneakers-the-rat", email = "sneakers-the-rat@protonmail.com"},
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@ -53,7 +53,8 @@ dask = [
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"dask>=2024.4.0",
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"dask>=2024.4.0",
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]
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]
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hdf5 = [
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hdf5 = [
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"h5py>=3.10.0"
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"h5py>=3.10.0,<3.12.0;sys_platform!='darwin'",
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"h5py>=3.10.0;sys_platform=='darwin'",
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]
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]
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video = [
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video = [
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"opencv-python>=4.9.0.80",
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"opencv-python>=4.9.0.80",
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@ -64,14 +64,20 @@ def _relativize_paths(
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``relative_to`` directory, if provided in the context
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``relative_to`` directory, if provided in the context
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"""
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"""
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relative_to = Path(relative_to).resolve()
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relative_to = Path(relative_to).resolve()
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# pdb.set_trace()
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def _r_path(v: Any) -> Any:
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def _r_path(v: Any) -> Any:
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if not isinstance(v, (str, Path)):
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if not isinstance(v, (str, Path)):
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return v
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return v
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try:
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try:
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path = Path(v)
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path = Path(v)
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if not path.exists():
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resolved = path.resolve()
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# skip things that are pathlike but either don't exist
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# or that are at the filesystem root (eg like /data)
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if (
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not path.exists()
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or (resolved.is_dir() and str(resolved.parent) == resolved.anchor)
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or relative_to.anchor != resolved.anchor
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):
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return v
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return v
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return str(relative_path(path, relative_to))
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return str(relative_path(path, relative_to))
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except (TypeError, ValueError):
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except (TypeError, ValueError):
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def _absolutize_paths(value: dict, skip: Iterable = tuple()) -> dict:
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def _absolutize_paths(value: dict, skip: Iterable = tuple()) -> dict:
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def _a_path(v: Any) -> Any:
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def _a_path(v: Any) -> Any:
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if not isinstance(v, (str, Path)):
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return v
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try:
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try:
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path = Path(v)
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path = Path(v)
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if not path.exists():
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if not path.exists():
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import numpy as np
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import numpy as np
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import json
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import json
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from numpydantic.serialization import _walk_and_apply
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from numpydantic.serialization import _walk_and_apply, _relativize_paths, relative_path
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pytestmark = pytest.mark.serialization
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pytestmark = pytest.mark.serialization
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@ -56,7 +56,7 @@ def test_relative_to_path(hdf5_at_path, tmp_output_dir, model_blank):
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"""
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"""
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out_path = tmp_output_dir / "relative.h5"
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out_path = tmp_output_dir / "relative.h5"
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relative_to_path = Path(__file__) / "fake_dir" / "sub_fake_dir"
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relative_to_path = Path(__file__) / "fake_dir" / "sub_fake_dir"
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expected_path = "../../../__tmp__/relative.h5"
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expected_path = Path("../../../__tmp__/relative.h5")
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hdf5_at_path(out_path)
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hdf5_at_path(out_path)
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model = model_blank(array=(out_path, "/data"))
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model = model_blank(array=(out_path, "/data"))
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# should not be absolute
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# should not be absolute
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assert not Path(file).is_absolute()
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assert not Path(file).is_absolute()
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# should be expected path and reach the file
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# should be expected path and reach the file
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assert file == expected_path
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assert Path(file) == expected_path
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assert (relative_to_path / file).resolve() == out_path.resolve()
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assert (relative_to_path / file).resolve() == out_path.resolve()
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# we shouldn't have touched `/data` even though it is pathlike
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# we shouldn't have touched `/data` even though it is pathlike
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assert data["path"] == "/data"
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assert data["path"] == "/data"
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def test_relative_to_root_dir():
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"""
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The relativize function should ignore paths that are directories
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beneath the root directory (eg `/data`) even if they exist
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"""
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# python 3.9 compat, which can't use negative indices
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test_path = [p for p in Path(__file__).resolve().parents][-2]
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test_data = {"some_field": str(test_path)}
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walked = _relativize_paths(test_data, relative_to=".")
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assert str(relative_path(test_path, Path(".").resolve())) != str(test_path)
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assert walked["some_field"] == str(test_path)
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def test_absolute_path(hdf5_at_path, tmp_output_dir, model_blank):
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def test_absolute_path(hdf5_at_path, tmp_output_dir, model_blank):
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"""
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"""
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When told, we make paths absolute
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When told, we make paths absolute
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