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69 lines
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2.5 KiB
Markdown
69 lines
No EOL
2.5 KiB
Markdown
# Changelog
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## 1.*
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### 1.3.0 - 24-08-05 - Better string dtype handling
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API Changes:
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- Split apart the validation methods into smaller chunks to better support
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overrides by interfaces. Customize getting and raising errors for dtype and shape,
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as well as separation of concerns between getting, validating, and raising.
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Bugfix:
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- [#4](https://github.com/p2p-ld/numpydantic/issues/4) - Support dtype checking
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for strings in zarr and numpy arrays
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### 1.2.3 - 24-07-31 - Vendor `nptyping`
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`nptyping` vendored into `numpydantic.vendor.nptyping` -
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`nptyping` is no longer maintained, and pins `numpy<2`.
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It also has many obnoxious warnings and we have to monkeypatch it
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so it performs halfway decently. Since we are en-route to deprecating
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usage of `nptyping` anyway, in the meantime we have just vendored it in
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(it is MIT licensed, included) so that we can make those changes ourselves
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and have to patch less of it. Currently the whole package is vendored with
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modifications, but will be whittled away until we have replaced it with
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updated type specification system :)
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Bugfix:
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- [#2](https://github.com/p2p-ld/numpydantic/issues/2) - Support `numpy>=2`
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- Remove deprecated numpy dtypes
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CI:
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- Add windows and mac tests
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- Add testing with numpy>=2 and <2
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DevOps:
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- Make a tox file for local testing, not used in CI.
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Tidying:
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- Remove `monkeypatch` module! we don't need it anymore!
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everything has either been upstreamed or vendored.
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### 1.2.2 - 24-07-31
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Add `datetime` map to numpy's :class:`numpy.datetime64` type
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### 1.2.1 - 24-06-27
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Fix a minor bug where {class}`~numpydantic.exceptions.DtypeError` would not cause
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pydantic to throw a {class}`pydantic.ValidationError` because custom validator functions
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need to raise either `AssertionError` or `ValueError` - made `DtypeError` also
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inherit from `ValueError` because that is also technically true.
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### 1.2.0 - 24-06-13 - Shape ranges
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- Add ability to specify shapes as ranges - see [shape ranges](shape-ranges)
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### 1.1.0 - 24-05-24 - Instance Checking
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https://github.com/p2p-ld/numpydantic/pull/1
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Features:
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- Add `__instancecheck__` method to NDArrayMeta to support `isinstance()` validation
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- Add finer grained errors and parent classes for validation exceptions
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- Add fast matching mode to {meth}`.Interface.match` that returns the first match without checking for duplicate matches
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Bugfix:
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- get all interface classes recursively, instead of just first-layer children
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- fix stubfile generation which badly handled `typing` imports. |