fixups from latest CI run

single-cell-data · Oct 15, 2024 · ef117ae · ef117ae
1 parent 662dd01
commit ef117ae
Show file tree

Hide file tree

Showing 3 changed files with 4 additions and 4 deletions.
diff --git a/apis/python/tests/test_basic_anndata_io.py b/apis/python/tests/test_basic_anndata_io.py
@@ -734,7 +734,7 @@ def test_null_obs(conftest_pbmc_small, tmp_path: Path):
     seed = 42
     #   Create column of all null values
     conftest_pbmc_small.obs["empty_categorical_all"] = pd.Categorical(
-        [np.NaN] * conftest_pbmc_small.n_obs,
+        [np.nan] * conftest_pbmc_small.n_obs,
         dtype=pd.CategoricalDtype(categories=[], ordered=False),
     )
     conftest_pbmc_small.obs["empty_extension_all"] = pd.Series(
@@ -744,7 +744,7 @@ def test_null_obs(conftest_pbmc_small, tmp_path: Path):
     rng = np.random.RandomState(seed)
 
     conftest_pbmc_small.obs["empty_categorical_partial"] = rng.choice(
-        (np.NaN, 1.0), conftest_pbmc_small.n_obs, True
+        (np.nan, 1.0), conftest_pbmc_small.n_obs, True
     )
     conftest_pbmc_small.obs["empty_extension_partial"] = pd.Series(
         [1] * conftest_pbmc_small.n_obs + [np.nan], dtype=pd.Int64Dtype()

diff --git a/apis/python/tests/test_dataframe.py b/apis/python/tests/test_dataframe.py
@@ -1218,7 +1218,7 @@ def test_extend_enumerations(tmp_path):
                 np.array([0, 1.1, 2.1, 0, 1.1, 2.1], dtype=np.float64), dtype="category"
             ),
             "float64_w_non_finite": pd.Series(
-                np.array([0, 1.1, 2.1, 0, np.Inf, np.NINF], dtype=np.float64),
+                np.array([0, 1.1, 2.1, 0, np.inf, np.NINF], dtype=np.float64),
                 dtype="category",
             ),
             "str_ordered": pd.Series(

diff --git a/apis/python/tests/test_regression.py b/apis/python/tests/test_regression.py
@@ -10,7 +10,7 @@ def test_nd_dense_non_contiguous_write(tmp_path):
     """Test regression dected in GitHub Issue #2537"""
     # Create data.
     data = (
-        np.arange(np.product(24), dtype=np.uint8)
+        np.arange(np.prod(24), dtype=np.uint8)
         .reshape((4, 3, 2))
         .transpose((2, 0, 1))
     )