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* Add `__array_api_version__` to `numpy.array_api` namespaceMatthew Barber2022-10-021-1/+3
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* TST: Move new `asarray` test to a more appropriate place. (#22251)M. Eric Irrgang2022-09-131-64/+0
| | | | | | | | | | | | | 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-1468Matti Picus2022-09-071-0/+64
|\ | | | | BUG: Distinguish exact vs. equivalent dtype for C type aliases.
| * Add release note and further clarify tests.M. Eric Irrgang2022-07-171-12/+31
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| * Lint.M. Eric Irrgang2022-07-171-3/+4
| | | | | | | | Shorten some lines.
| * Expand test_asarray.py.M. Eric Irrgang2022-07-171-13/+33
| | | | | | | | | | | | | | * 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.M. Eric Irrgang2022-07-161-2/+2
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| * Add unit testing.M. Eric Irrgang2022-07-161-0/+24
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* | BUG: Fix the implementation of numpy.array_api.vecdot (#21928)Aaron Meurer2022-09-071-1/+12
| | | | | | | | | | | | | | * Fix the implementation of numpy.array_api.vecdot See https://data-apis.org/array-api/latest/API_specification/generated/signatures.linear_algebra_functions.vecdot.html * Use moveaxis + matmul instead of einsum in vecdot
* | MAINT: fix typo in test_array_object test description (#22071)Ikko Ashimine2022-08-021-1/+1
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* MAINT: Fix computation of numpy.array_api.linalg.vector_norm (#21084)Aaron Meurer2022-06-151-8/+31
| | | | | | | | | | | | | | | | | | * Fix computation of numpy.array_api.linalg.vector_norm Various pieces were incorrect due to a lack of complete coverage of this function in the array API test suite. * Fix the output dtype nonstandard vector norm() Previously it would always give float64 because an internal calculation involved a NumPy scalar and a Python float. The fix is to use a 0-D array instead of a NumPy scalar so that it type promotes with the float correctly. Fixes #21083 I don't have a test for this yet because I'm unclear how exactly to test it. * Clean up the numpy.array_api.linalg.vector_norm code a little bit
* Fix the array API unique_*() functions to not compare nans as equalAaron Meurer2022-06-031-0/+4
| | | | | The spec requires this, but it is only now possible to implement with the new equal_nan flag in np.unique().
* API: Allow newaxis indexing for `array_api` arrays (#21377)Matthew Barber2022-05-062-99/+176
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * 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 <asmeurer@gmail.com> * 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 <sebastian@sipsolutions.net> * MAINT: `array_api` arrays don't special case multi-ellipsis errors This gets handled by NumPy-proper. Co-authored-by: Aaron Meurer <asmeurer@gmail.com> Co-authored-by: Sebastian Berg <sebastian@sipsolutions.net>
* Fix a type hint in numpy.array_apiAaron Meurer2022-03-281-1/+1
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* Add some missing notes to array_apiAaron Meurer2022-03-281-1/+2
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* Properly restrict the input dtypes for the array_api trace, svdvals, and vecdotAaron Meurer2022-03-281-0/+6
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* Remove some outdated commentsAaron Meurer2022-03-281-2/+0
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* Update some Note comments in numpy.array_apiAaron Meurer2022-03-282-1/+7
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* MAINT: make np._from_dlpack publicTirth Patel2022-03-031-1/+1
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* Note `np.array_api.can_cast()` does not use `np.can_cast()`Matthew Barber2022-02-092-2/+5
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* BUG: Fix `np.array_api.can_cast()` by not relying on `np.can_cast()`Matthew Barber2022-02-093-4/+58
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* Regression test for inverse indices in `array_api` set functionsMatthew2022-01-131-0/+19
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* BUG: Return correctly shaped inverse indices in `array_api`Matthew2022-01-131-5/+15
| | | | Specifically for `xp.unique_all()` and `xp.unique_inverse()`
* Merge pull request #20762 from honno/xp-pow-fixesCharles Harris2022-01-124-12/+10
|\ | | | | BUG: Allow integer inputs for pow-related functions in `array_api`
| * BUG: Allow integer inputs for pow-related functions in `array_api`Matthew2022-01-074-12/+10
| | | | | | | | Updates `xp.power()`, `x.__pow__()`, `x.__ipow()__` and `x.__rpow()__`
* | BUG: `array_api.argsort(descending=True)` respects relative sort order (#20788)Matthew Barber2022-01-122-3/+37
|/ | | | | * BUG: `array_api.argsort(descending=True)` respects relative order * Regression test for stable descending `array_api.argsort()`
* Merge pull request #20720 from rgommers/arrayapi-annotation-fixesMatti Picus2022-01-041-2/+3
|\ | | | | TYP: add a few type annotations to `numpy.array_api.Array`
| * TYP: accept review comment on ignoring NotImplemented in type checkingRalf Gommers2022-01-041-4/+1
| | | | | | Co-authored-by: Bas van Beek <43369155+BvB93@users.noreply.github.com>
| * TYP: add a few type annotations to `numpy.array_api.Array`Ralf Gommers2022-01-031-1/+5
| | | | | | | | | | | | | | | | | | This fixes the majority of the complaints for `$ mypy numpy/array_api`. The comment indicating that one fix is blocked by lack of support in Mypy for `NotImplemented` is responsible for another several dozen errors. [skip ci]
* | TYP: change type annotation for `__array_namespace__` to ModuleTypeRalf Gommers2022-01-031-1/+2
|/ | | | | | This is more precise, we are returning a module here. Type checkers will be able to use this info in the future - see https://github.com/data-apis/array-api/issues/267
* Merge pull request #20533 from asmeurer/array_api-prod-fixCharles Harris2021-12-071-2/+2
|\ | | | | BUG: Fix handling of the dtype parameter to numpy.array_api.prod()
| * BUG: Fix handling of the dtype parameter to numpy.array_api.prod()Aaron Meurer2021-12-071-2/+2
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* | Add type hints to the numpy.array_api.Array.__array__ signatureAaron Meurer2021-12-061-1/+2
| | | | | | | | Thanks @BvB93
* | ENH: Add __array__ to the array_api Array objectAaron Meurer2021-12-062-0/+18
|/ | | | | | | | | | | This is *NOT* part of the array API spec (so it should not be relied on for portable code). However, without this, np.asarray(np.array_api.Array) produces an object array instead of doing the conversion to a NumPy array as expected. This would work once np.asarray() implements dlpack support, but until then, it seems reasonable to make the conversion work. Note that the reverse, calling np.array_api.asarray(np.array), already works because np.array_api.asarray() is just a wrapper for np.asarray().
* Add tests for T and mT in array_apiAaron Meurer2021-12-011-0/+14
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* BUG: Fix the .T attribute in the array_api namespaceAaron Meurer2021-12-011-1/+1
| | | | Fixes #20498.
* Merge pull request #19173 from czgdp1807/never_copyMatti Picus2021-11-152-8/+14
|\ | | | | ENH: Add support for copy modes to NumPy
| * Merge branch 'main' into never_copyRalf Gommers2021-11-128-44/+162
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| * \ resolved conflictsGagandeep Singh2021-11-0210-51/+192
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| * | | Addressed reviewsczgdp18072021-09-042-4/+4
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| * | | fixed linting issuesczgdp18072021-09-031-2/+2
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| * | | fixed linting issuesczgdp18072021-09-031-1/+2
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| * | | CopyMode added to np.array_apiczgdp18072021-09-032-6/+11
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* | | | ENH: Add the linalg extension to the array_api submodule (#19980)Aaron Meurer2021-11-145-79/+419
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* | | MAINT: A few updates to the array_api (#20066)Aaron Meurer2021-11-128-49/+156
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * Allow casting in the array API asarray() * Restrict multidimensional indexing in the array API namespace The spec has recently been updated to only require multiaxis (i.e., tuple) indices in the case where every axis is indexed, meaning there are either as many indices as axes or the index has an ellipsis. * Fix type promotion for numpy.array_api.where where does value-based promotion for 0-dimensional arrays, so we use the same trick as in the Array operators to avoid this. * Print empty array_api arrays using empty() Printing behavior isn't required by the spec. This is just to make things easier to understand, especially with the array API test suite. * Fix an incorrect slice bounds guard in the array API * Disallow multiple different dtypes in the input to np.array_api.meshgrid * Remove DLPack support from numpy.array_api.asarray() from_dlpack() should be used to create arrays using DLPack. * Remove __len__ from the array API array object * Add astype() to numpy.array_api * Update the unique_* functions in numpy.array_api unique() in the array API was replaced with three separate functions, unique_all(), unique_inverse(), and unique_values(), in order to avoid polymorphic return types. Additionally, it should be noted that these functions to not currently conform to the spec with respect to NaN behavior. The spec requires multiple NaNs to be returned, but np.unique() returns a single NaN. Since this is currently an open issue in NumPy to possibly revert, I have not yet worked around this. See https://github.com/numpy/numpy/issues/20326. * Add the stream argument to the array API to_device method This does nothing in NumPy, and is just present so that the signature is valid according to the spec. * Use the NamedTuple classes for the type signatures * Add unique_counts to the array API namespace * Remove some unused imports * Update the array_api indexing restrictions The "multiaxis indexing must index every axis explicitly or use an ellipsis" was supposed to include any type of index, not just tuple indices. * Use a simpler type annotation for the array API to_device method * Fix a test failure in the array_api submodule The array_api cannot use the NumPy testing functions because array_api arrays do not mix with NumPy arrays, and also NumPy testing functions may use APIs that aren't supported in the array API. * Add dlpack support to the array_api submodule
* | | Merge pull request #19083 from hameerabbasi/dlpackSebastian Berg2021-11-092-3/+3
|\ \ \ | | | | | | | | ENH: Implement the DLPack Array API protocols for ndarray.
| * | | change from_dlpack to _dlpack, remove unused headermattip2021-11-022-3/+3
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* | | TST: Add a test for device property in `array_api` namespace (#20271)Amit Kumar2021-11-031-0/+11
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* | Merge pull request #20071 from alessiamarcolini/refactorCharles Harris2021-10-221-15/+0
|\ \ | | | | | | MAINT: Remove unused imports and remove duplicated tests
| * | MAINT: remove unused importsAlessia Marcolini2021-10-081-15/+0
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