Add requirements-dev.txt and add array-api-strict to it

Author: asmeurer

.github/workflows/tests.yml

@@ -15,7 +15,7 @@ jobs:
       - name: Install Dependencies
         run: |
           python -m pip install --upgrade pip
-          python -m pip install pytest numpy torch dask[array] jax[cpu]
+          python -m pip install -r requirements-dev.txt
 
       - name: Run Tests
         run: |

docs/dev/special-considerations.md

@@ -6,6 +6,7 @@ be a small library that packages can either vendor or add as a dependency to
 implement array API support. Consequently, certain design considerations
 should be taken into account:
 
+(no-dependencies)=
 - **No Hard Dependencies.** Although array-api-compat "depends" on NumPy, CuPy,
   PyTorch, etc., it does not hard depend on them. These libraries are not
   imported unless either an array object is passed to

docs/dev/tests.md

@@ -6,7 +6,9 @@ the array API standard. There are also array-api-compat specific tests in
 [`tests/`](https://github.com/data-apis/array-api-compat/tree/main/tests).
 These tests should be limited to things that are not tested by the test suite,
 e.g., tests for [helper functions](../helper-functions.rst) or for behavior
-that is not strictly required by the standard.
+that is not strictly required by the standard. To run these tests, install the
+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

requirements-dev.txt

@@ -0,0 +1,6 @@
+array-api-strict
+dask[array]
+jax[cpu]
+numpy
+pytest
+torch