1.8 release

array_api_compat/__init__.py

@@ -17,6 +17,6 @@
 this implementation for the default when working with NumPy arrays.
 
 """
-__version__ = '1.7.1'
+__version__ = '1.8'
 
 from .common import *  # noqa: F401, F403

dask-xfails.txt

@@ -150,3 +150,8 @@ array_api_tests/test_manipulation_functions.py::test_roll
 
 # No mT on dask array
 array_api_tests/meta/test_hypothesis_helpers.py::test_symmetric_matrices
+
+# The test suite is incorrectly checking sums that have loss of significance
+# (https://github.com/data-apis/array-api-tests/issues/168)
+array_api_tests/test_statistical_functions.py::test_sum
+array_api_tests/test_statistical_functions.py::test_prod

docs/changelog.md

@@ -1,5 +1,23 @@
 # Changelog
 
+## 1.8 (2024-07-24)
+
+### Major Changes
+
+- Add support for [ndonnx](https://github.com/Quantco/ndonnx). Array API
+  support itself lives in the ndonnx library, but this adds the
+  {func}`~.is_ndonnx_array` helper function.
+  ([@adityagoel4512](https://github.com/adityagoel4512)).
+
+- Partial support for the [2023.12 version of the
+  standard](https://data-apis.org/array-api/latest/changelog.html#v2023-12).
+  This includes
+  - Wrappers for `clip()`.
+  - torch wrapper for `copysign()` with correct type promotion.
+
+  Note that many of the new functions in the 2023.12 version of the standard
+  are already fully implemented in upstream libraries and will already work.
+
 ## 1.7.1 (2024-05-28)
 
 ### Minor Changes

docs/helper-functions.rst

@@ -50,3 +50,4 @@ yet.
 .. autofunction:: is_dask_array
 .. autofunction:: is_jax_array
 .. autofunction:: is_pydata_sparse_array
+.. autofunction:: is_ndonnx_array

docs/index.md

@@ -2,9 +2,9 @@
 
 This is a small wrapper around common array libraries that is compatible with
 the [Array API standard](https://data-apis.org/array-api/latest/). Currently,
-NumPy, CuPy, PyTorch, Dask, JAX, and Sparse are supported. If you want support
-for other array libraries, or if you encounter any issues, please [open an
-issue](https://github.com/data-apis/array-api-compat/issues).
+NumPy, CuPy, PyTorch, Dask, JAX, ndonnx, and Sparse are supported. If you want
+support for other array libraries, or if you encounter any issues, please
+[open an issue](https://github.com/data-apis/array-api-compat/issues).
 
 Note that some of the functionality in this library is backwards incompatible
 with the corresponding wrapped libraries. The end-goal is to eventually make
@@ -61,10 +61,11 @@ import array_api_compat.dask as da
 ```
 
 ```{note}
-There is no `array_api_compat.jax` submodule. JAX support is contained in JAX
-itself in the `jax.experimental.array_api` module. array-api-compat simply
-wraps that submodule. The main JAX support in this module consists of
-supporting it in the [helper functions](helper-functions).
+There are no `array_api_compat` submodules for JAX, sparse, or ndonnx. These
+support for these libraries is contained in the libraries themselves (JAX
+support is in the `jax.experimental.array_api` module). The
+array-api-compat support for these libraries consists of supporting them in
+the [helper functions](helper-functions).
 ```
 
 Each will include all the functions from the normal NumPy/CuPy/PyTorch/dask.array
@@ -118,7 +119,7 @@ cp -R array_api_compat/ mylib/vendored/array_api_compat
 You may also rename it to something else if you like (nowhere in the code
 references the name "array_api_compat").
 
-Alternatively, the library may be installed as dependency on PyPI.
+Alternatively, the library may be installed as dependency from PyPI.
 
 (scope)=
 ## Scope