Fix pytest config in pyproject.toml

.github/workflows/test.yml

@@ -78,7 +78,7 @@ jobs:
         install-jax: [0]
         install-torch: [0]
         part:
-          - "--doctest-modules --ignore=pytensor/misc/check_duplicate_key.py pytensor --ignore=pytensor/link"
+          - "--doctest-modules pytensor --ignore=pytensor/misc/check_duplicate_key.py --ignore=pytensor/link"
           - "tests --ignore=tests/tensor --ignore=tests/scan --ignore=tests/sparse"
           - "tests/scan"
           - "tests/sparse"
@@ -97,9 +97,9 @@ jobs:
             part: "tests/tensor/test_math.py"
           - fast-compile: 1
             float32: 1
-          - part: "--doctest-modules --ignore=pytensor/misc/check_duplicate_key.py pytensor --ignore=pytensor/link"
+          - part: "--doctest-modules pytensor --ignore=pytensor/misc/check_duplicate_key.py --ignore=pytensor/link"
             float32: 1
-          - part: "--doctest-modules --ignore=pytensor/misc/check_duplicate_key.py pytensor --ignore=pytensor/link"
+          - part: "--doctest-modules pytensor --ignore=pytensor/misc/check_duplicate_key.py --ignore=pytensor/link"
             fast-compile: 1
         include:
           - install-numba: 1

pyproject.toml

@@ -116,9 +116,9 @@ versionfile_source = "pytensor/_version.py"
 versionfile_build = "pytensor/_version.py"
 tag_prefix = "rel-"
 
-[tool.pytest]
-addopts = "--durations=50  --doctest-modules pytensor --ignore=pytensor/misc/check_duplicate_key.py --ignore=pytensor/link"
-testpaths = "tests/"
+[tool.pytest.ini_options]
+addopts = "--durations=50 --doctest-modules --ignore=pytensor/link --ignore=pytensor/misc/check_duplicate_key.py"
+testpaths = ["pytensor/", "tests/"]
 
 [tool.ruff]
 line-length = 88

tests/unittest_tools.py

@@ -27,8 +27,8 @@ def fetch_seed(pseed=None):
     None, which is equivalent to seeding with a random seed.
 
     Useful for seeding RandomState or Generator objects.
-    >>> rng = np.random.RandomState(unittest_tools.fetch_seed())
-    >>> rng = np.random.default_rng(unittest_tools.fetch_seed())
+    >>> rng = np.random.RandomState(fetch_seed())
+    >>> rng = np.random.default_rng(fetch_seed())
     """
 
     seed = pseed or config.unittests__rseed