Fix CI (#3364)

ci/scripts/min-deps.py

@@ -35,7 +35,7 @@ def min_dep(req: Requirement) -> Requirement:
     -------
 
     >>> min_dep(Requirement("numpy>=1.0"))
-    "numpy==1.0"
+    <Requirement('numpy==1.0.*')>
     """
     req_name = req.name
     if req.extras:

ci/scripts/towncrier_automation.py

@@ -66,9 +66,7 @@ def main(argv: Sequence[str] | None = None) -> None:
         text=True,
         check=True,
     ).stdout.strip()
-    pr_description = (
-        "" if base_branch == "main" else "@meeseeksmachine backport to main"
-    )
+    pr_description = "" if base_branch == "main" else "@meeseeksdev backport to main"
     branch_name = f"release_notes_{args.version}"
 
     # Create a new branch + commit

pyproject.toml

@@ -166,7 +166,7 @@ addopts = [
     "-ptesting.scanpy._pytest",
     "--pyargs",
 ]
-testpaths = ["./tests", "scanpy"]
+testpaths = ["./tests", "./ci", "scanpy"]
 norecursedirs = ["tests/_images"]
 xfail_strict = true
 nunit_attach_on = "fail"
@@ -211,7 +211,7 @@ exclude_also = [
     "if __name__ == .__main__.:",
     "if TYPE_CHECKING:",
     # https://github.com/numba/numba/issues/4268
-    "@numba.njit.*",
+    '@(numba\.|nb\.)njit.*',
 ]
 
 [tool.ruff]

tests/test_utils.py

@@ -6,9 +6,10 @@
 import numpy as np
 import pytest
 from anndata.tests.helpers import asarray
+from packaging.version import Version
 from scipy.sparse import csr_matrix, issparse
 
-from scanpy._compat import DaskArray
+from scanpy._compat import DaskArray, pkg_version
 from scanpy._utils import (
     axis_mul_or_truediv,
     axis_sum,
@@ -225,11 +226,15 @@ def test_is_constant(array_type):
     ],
 )
 @pytest.mark.parametrize("block_type", [np.array, csr_matrix])
-def test_is_constant_dask(axis, expected, block_type):
+def test_is_constant_dask(request: pytest.FixtureRequest, axis, expected, block_type):
     import dask.array as da
 
-    if (axis is None) and block_type is csr_matrix:
-        pytest.skip("Dask has weak support for scipy sparse matrices")
+    if block_type is csr_matrix and (
+        axis is None or pkg_version("dask") < Version("2023.2.0")
+    ):
+        reason = "Dask has weak support for scipy sparse matrices"
+        # This test is flaky for old dask versions, but when `axis=None` it reliably fails
+        request.applymarker(pytest.mark.xfail(reason=reason, strict=axis is None))
 
     x_data = [
         [0, 0, 1, 1],