Add some missing mentions of sparse

Author: asmeurer

docs/dev/tests.md

@@ -11,7 +11,8 @@ dependencies from `requirements-dev.txt` (array-api-compat has [no hard
 runtime dependencies](no-dependencies)).
 
 array-api-tests is run against all supported libraries are tested on CI
-([except for JAX](jax-support)). This is achieved by a [reusable GitHub Actions
+([except for JAX](jax-support) and [Sparse](sparse-support)). This is achieved
+by a [reusable GitHub Actions
 Workflow](https://github.com/data-apis/array-api-compat/blob/main/.github/workflows/array-api-tests.yml).
 Most libraries have tests that must be xfailed or skipped for various reasons.
 These are defined in specific `<library>-xfails.txt` files and are

docs/index.md

@@ -2,8 +2,8 @@
 
 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, and JAX are supported. If you want support for other array
-libraries, or if you encounter any issues, please [open an
+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).
 
 Note that some of the functionality in this library is backwards incompatible

docs/supported-array-libraries.md

@@ -133,5 +133,7 @@ Other methods may only be partially implemented or return incorrect results at t
 
 The minimum supported Dask version is 2023.12.0.
 
-## [`sparse`](https://sparse.pydata.org/en/stable/)
+(sparse-support)=
+## [Sparse](https://sparse.pydata.org/en/stable/)
+
 Similar to JAX, `sparse` Array API support is contained directly in `sparse`.

setup.py

@@ -21,6 +21,7 @@
         "jax": "jax",
         "pytorch": "pytorch",
         "dask": "dask",
+        "sprase": "sparse >=0.15.1",
     },
     classifiers=[
         "Programming Language :: Python :: 3",