Provide default implementation for data_repated (#22935)

pandas/tests/extension/conftest.py

@@ -31,12 +31,24 @@ def all_data(request, data, data_missing):
 
 
 @pytest.fixture
-def data_repeated():
-    """Return different versions of data for count times"""
+def data_repeated(data):
+    """
+    Generate many datasets.
+
+    Parameters
+    ----------
+    data : fixture implementing `data`
+
+    Returns
+    -------
+    Callable[[int], Generator]:
+        A callable that takes a `count` argument and
+        returns a generator yielding `count` datasets.
+    """
     def gen(count):
         for _ in range(count):
-            yield NotImplementedError
-    yield gen
+            yield data
+    return gen
 
 
 @pytest.fixture

pandas/tests/extension/decimal/test_decimal.py

@@ -30,14 +30,6 @@ def data_missing():
     return DecimalArray([decimal.Decimal('NaN'), decimal.Decimal(1)])
 
 
-@pytest.fixture
-def data_repeated():
-    def gen(count):
-        for _ in range(count):
-            yield DecimalArray(make_data())
-    yield gen
-
-
 @pytest.fixture
 def data_for_sorting():
     return DecimalArray([decimal.Decimal('1'),

pandas/tests/extension/test_categorical.py

@@ -45,15 +45,6 @@ def data_missing():
     return Categorical([np.nan, 'A'])
 
 
-@pytest.fixture
-def data_repeated():
-    """Return different versions of data for count times"""
-    def gen(count):
-        for _ in range(count):
-            yield Categorical(make_data())
-    yield gen
-
-
 @pytest.fixture
 def data_for_sorting():
     return Categorical(['A', 'B', 'C'], categories=['C', 'A', 'B'],

pandas/tests/extension/test_integer.py

@@ -47,14 +47,6 @@ def data_missing(dtype):
     return integer_array([np.nan, 1], dtype=dtype)
 
 
-@pytest.fixture
-def data_repeated(data):
-    def gen(count):
-        for _ in range(count):
-            yield data
-    yield gen
-
-
 @pytest.fixture
 def data_for_sorting(dtype):
     return integer_array([1, 2, 0], dtype=dtype)

pandas/tests/extension/test_interval.py

@@ -47,15 +47,6 @@ def data_missing():
     return IntervalArray.from_tuples([None, (0, 1)])
 
 
-@pytest.fixture
-def data_repeated():
-    """Return different versions of data for count times"""
-    def gen(count):
-        for _ in range(count):
-            yield IntervalArray(make_data())
-    yield gen
-
-
 @pytest.fixture
 def data_for_sorting():
     return IntervalArray.from_tuples([(1, 2), (2, 3), (0, 1)])