remove accidentally added block

theislab · Jan 15, 2025 · a701470 · a701470
1 parent bef4277
commit a701470
Showing 1 changed file with 0 additions and 45 deletions.
diff --git a/tests/preprocessing/test_normalization.py b/tests/preprocessing/test_normalization.py
@@ -83,51 +83,6 @@ def adata_to_norm():
     return adata
 
 
-@pytest.fixture
-def adata_to_norm_large():
-    obs_data = {"ID": ["Patient1", "Patient2", "Patient3"], "Age": [31, 94, 62]}
-
-    X_data = np.array(
-        [
-            [1, 3.4, -2.0, 1.0, "A string", "A different string"],
-            [2, 5.4, 5.0, 2.0, "Silly string", "A different string"],
-            [2, 5.7, 3.0, np.nan, "A string", "What string?"],
-        ],
-        dtype=np.dtype(object),
-    )
-    # the "ignore" tag is used to make the column being ignored; the original test selecting a few
-    # columns induces a specific ordering which is kept for now
-    var_data = {
-        "Feature": [
-            "Integer1",
-            "Numeric1",
-            "Numeric2",
-            "Numeric3",
-            "String1",
-            "String2",
-        ],
-        "Type": ["Integer", "Numeric", "Numeric", "Numeric", "String", "String"],
-        FEATURE_TYPE_KEY: [
-            CATEGORICAL_TAG,
-            NUMERIC_TAG,
-            NUMERIC_TAG,
-            "ignore",
-            CATEGORICAL_TAG,
-            CATEGORICAL_TAG,
-        ],
-    }
-    adata = AnnData(
-        X=X_data,
-        obs=pd.DataFrame(data=obs_data),
-        var=pd.DataFrame(data=var_data, index=var_data["Feature"]),
-        uns=OrderedDict(),
-    )
-
-    adata = ep.pp.encode(adata, autodetect=True, encodings="label")
-
-    return adata
-
-
 def test_vars_checks(adata_to_norm):
     """Test for checks that vars argument is valid."""
     with pytest.raises(ValueError, match=r"Some selected vars are not numeric"):