TST: validate_indices (#33221)

Author: jbrockmendel

pandas/tests/indexing/test_indexers.py

@@ -1,7 +1,8 @@
 # Tests aimed at pandas.core.indexers
 import numpy as np
+import pytest
 
-from pandas.core.indexers import is_scalar_indexer, length_of_indexer
+from pandas.core.indexers import is_scalar_indexer, length_of_indexer, validate_indices
 
 
 def test_length_of_indexer():
@@ -26,3 +27,25 @@ def test_is_scalar_indexer():
     assert not is_scalar_indexer(indexer, 2)
 
     assert not is_scalar_indexer(slice(None), 1)
+
+
+class TestValidateIndices:
+    def test_validate_indices_ok(self):
+        indices = np.asarray([0, 1])
+        validate_indices(indices, 2)
+        validate_indices(indices[:0], 0)
+        validate_indices(np.array([-1, -1]), 0)
+
+    def test_validate_indices_low(self):
+        indices = np.asarray([0, -2])
+        with pytest.raises(ValueError, match="'indices' contains"):
+            validate_indices(indices, 2)
+
+    def test_validate_indices_high(self):
+        indices = np.asarray([0, 1, 2])
+        with pytest.raises(IndexError, match="indices are out"):
+            validate_indices(indices, 2)
+
+    def test_validate_indices_empty(self):
+        with pytest.raises(IndexError, match="indices are out"):
+            validate_indices(np.array([0, 1]), 0)

pandas/tests/indexing/test_indexing.py

@@ -12,7 +12,6 @@
 import pandas as pd
 from pandas import DataFrame, Index, NaT, Series
 import pandas._testing as tm
-from pandas.core.indexers import validate_indices
 from pandas.core.indexing import _maybe_numeric_slice, _non_reducing_slice
 from pandas.tests.indexing.common import _mklbl
 
@@ -988,30 +987,6 @@ def test_none_coercion_mixed_dtypes(self):
         tm.assert_frame_equal(start_dataframe, exp)
 
 
-def test_validate_indices_ok():
-    indices = np.asarray([0, 1])
-    validate_indices(indices, 2)
-    validate_indices(indices[:0], 0)
-    validate_indices(np.array([-1, -1]), 0)
-
-
-def test_validate_indices_low():
-    indices = np.asarray([0, -2])
-    with pytest.raises(ValueError, match="'indices' contains"):
-        validate_indices(indices, 2)
-
-
-def test_validate_indices_high():
-    indices = np.asarray([0, 1, 2])
-    with pytest.raises(IndexError, match="indices are out"):
-        validate_indices(indices, 2)
-
-
-def test_validate_indices_empty():
-    with pytest.raises(IndexError, match="indices are out"):
-        validate_indices(np.array([0, 1]), 0)
-
-
 def test_extension_array_cross_section():
     # A cross-section of a homogeneous EA should be an EA
     df = pd.DataFrame(