8000 TYP: type hint ``numpy.polynomial`` by jorenham · Pull Request #26897 · numpy/numpy · GitHub
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TYP: type hint numpy.polynomial #26897

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Merged
merged 15 commits into from
Jul 23, 2024
Merged

TYP: type hint numpy.polynomial #26897

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e1e9df2
TYP: type hint `numpy.polynomial`
jorenham Jul 10, 2024
b3df5ae
TYP: annotate `ABCPolyBase.basis_name` in `numpy.polynomial._polybase…
jorenham Jul 10, 2024
d0ad0e5
TYP: allow more scalar types in the `polynomial._polytypes._Interval`…
jorenham Jul 10, 2024
252cf3f
TYP: rename "reveal" type-tests `polyutils.pyi` to `polynomial_polyut…
jorenham Jul 10, 2024
8e105bf
TYP: consistent type alias naming and overload signatures in `numpy.p…
jorenham Jul 10, 2024
a7a72e1
TYP: extract common array annotations expressions into type aliases
jorenham Jul 10, 2024
388b0b3
TYP: initial type-tests for the polynomial classes in `numpy.polynomial`
jorenham Jul 10, 2024
5d41e11
TYP: type-tests and related fixes for the `numpy.polynomial` classes
jorenham Jul 12, 2024
19b3265
TYP: A better story around the internal type aliases of ``numpy.poly…
jorenham Jul 16, 2024
2d2482d
TYP: Simple true-negative type-tests for the low-level ``numpy.polyno…
jorenham Jul 16, 2024
6de9cb2
TYP: Add type-tests for ``numpy.polynomial`` convenience class ops
jorenham Jul 16, 2024
c59ef5b
TYP: Fix several minor typing inconsistencies in ``numpy.polynomial``
jorenham Jul 16, 2024
3c9fe75
TYP: Add type tests for ``numpy.polynomial`` shared series methods
jorenham Jul 16, 2024
56a9226
TYP: Fix the type-tests, and remove ``numpy.polynomial`` "fail" tests…
jorenham Jul 16, 2024
ef3278a
TYP: Add ty 8000 pe tests for the ``numpy.polynomial`` series-specific met…
jorenham Jul 16, 2024
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TYP: allow more scalar types in the polynomial._polytypes._Interval… 
… alias
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@jorenham
jorenham committed Jul 22, 2024
commit d0ad0e500986a5754aa80d0d5be59337b945cf77
2 changes: 1 addition & 1 deletion numpy/polynomial/_polytypes.pyi
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Expand Up @@ -109,7 +109,7 @@ _AnySeriesND: TypeAlias = (
| _NestedSequence[SupportsComplex | SupportsFloat]
)

_SCT_domain = TypeVar("_SCT_domain", np.float64, np.complex128, np.object_)
_SCT_domain = TypeVar("_SCT_domain", bound=np.inexact[Any] | np.object_)
_Interval: TypeAlias = np.ndarray[tuple[Literal[2]], np.dtype[_SCT_domain]]

_T = TypeVar("_T", bound=object)
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