delta/python-packages/numpy.git/numpy/array_api/tests, branch meson

TST: Move new `asarray` test to a more appropriate place. (#22251)

2022-09-13T06:20:45+00:00

As noted at #21995 (comment), the new test from #21995 was placed in a directory intended for the Array API, and unrelated to the change.

* Consolidate test_dtype_identity into an existing test file.

Remove `test_asarray.py`. Create a new `TestAsArray` suite in
`test_array_coercion.py`

* Linting.

Wrap some comments that got too long after function became
a method (with additional indentation).

Merge pull request #21995 from eirrgang/mei-1468

2022-09-07T16:55:38+00:00

BUG: Distinguish exact vs. equivalent dtype for C type aliases.

MAINT: fix typo in test_array_object test description (#22071)

2022-08-02T10:26:42+00:00

Add release note and further clarify tests.

2022-07-17T18:12:31+00:00

Lint.

2022-07-17T15:55:59+00:00

Shorten some lines.

Expand test_asarray.py.

2022-07-17T15:49:56+00:00

* Improve comments/docs.
* Improve descriptiveness of variable names.
* Add additional test expressions that would not pass without
  this patch.

Update comment and obey formatting requirements.

2022-07-16T20:51:51+00:00

Add unit testing.

2022-07-16T20:27:38+00:00

API: Allow newaxis indexing for `array_api` arrays (#21377)

2022-05-06T09:27:27+00:00

* TST: Add test checking if newaxis indexing works for `array_api`

Also removes previous check against newaxis indexing, which is now outdated

* TST, BUG: Allow `None` in `array_api` indexing

Introduces test for validating flat indexing when `None` is present

* MAINT,DOC,TST: Rework of `_validate_index()` in `numpy.array_api`

_validate_index() is now called as self._validate_index(shape), and does not
return a key. This rework removes the recursive pattern used. Tests are
introduced to cover some edge cases. Additionally, its internal docstring
reflects new behaviour, and extends the flat indexing note.

* MAINT: `advance` -> `advanced` (integer indexing)

Co-authored-by: Aaron Meurer 

* BUG: array_api arrays use internal arrays from array_api array keys

When an array_api array is passed as the key for get/setitem, we access the
key's internal np.ndarray array to be used as the key for the internal
get/setitem operation. This behaviour was initially removed when
`_validate_index()` was reworked.

* MAINT: Better flat indexing error message for `array_api` arrays

Also better semantics for its prior ellipsis count condition

Co-authored-by: Sebastian Berg 

* MAINT: `array_api` arrays don't special case multi-ellipsis errors

This gets handled by NumPy-proper.

Co-authored-by: Aaron Meurer 
Co-authored-by: Sebastian Berg

Note `np.array_api.can_cast()` does not use `np.can_cast()`

2022-02-09T08:44:07+00:00