moved indices fixture to pandas/conftest and creating index_or_series_obj fixture there as well

Author: SaturnFromTitan

pandas/conftest.py

@@ -17,6 +17,7 @@
 from pandas import DataFrame
 import pandas._testing as tm
 from pandas.core import ops
+from pandas.core.indexes.api import Index, MultiIndex
 
 hypothesis.settings.register_profile(
     "ci",
@@ -953,3 +954,76 @@ def __len__(self):
             return self._data.__len__()
 
     return TestNonDictMapping
+
+
+indices_dict = {
+    "unicode": tm.makeUnicodeIndex(100),
+    "string": tm.makeStringIndex(100),
+    "datetime": tm.makeDateIndex(100),
+    "datetime-tz": tm.makeDateIndex(100, tz="US/Pacific"),
+    "period": tm.makePeriodIndex(100),
+    "timedelta": tm.makeTimedeltaIndex(100),
+    "int": tm.makeIntIndex(100),
+    "uint": tm.makeUIntIndex(100),
+    "range": tm.makeRangeIndex(100),
+    "float": tm.makeFloatIndex(100),
+    "bool": tm.makeBoolIndex(2),
+    "categorical": tm.makeCategoricalIndex(100),
+    "interval": tm.makeIntervalIndex(100),
+    "empty": Index([]),
+    "tuples": MultiIndex.from_tuples(zip(["foo", "bar", "baz"], [1, 2, 3])),
+    "repeats": Index([0, 0, 1, 1, 2, 2]),
+}
+
+
+@pytest.fixture(params=indices_dict.keys())
+def indices(request):
+    # copy to avoid mutation, e.g. setting .name
+    return indices_dict[request.param].copy()
+
+
+def _create_series(index):
+    """ Helper for the _series dict """
+    data = np.random.randn(len(index))
+    return pd.Series(data, index=index, name=index.name)
+
+
+_series = {
+    f"series-with-{id_}-index": _create_series(index)
+    for id_, index in indices_dict.items()
+}
+
+
+def _create_narrow_series(dtype):
+    """ Helper for the _narrow_series dict """
+    index = indices_dict["int"].copy()
+    size = len(index)
+    if np.issubdtype(dtype, np.floating):
+        data = np.random.choice(size, size=size, replace=False)
+    elif np.issubdtype(dtype, np.integer):
+        data = np.random.randn(size)
+    else:
+        raise ValueError(f"Received an unexpected data_dtype: {dtype}")
+    return pd.Series(data.astype(dtype), index=index, name="a")
+
+
+_narrow_series = {
+    "float32-series": _create_narrow_series(np.float32),
+    "int8-series": _create_narrow_series(np.int8),
+    "int16-series": _create_narrow_series(np.int16),
+    "int32-series": _create_narrow_series(np.int32),
+    "uint8-series": _create_narrow_series(np.uint8),
+    "uint16-series": _create_narrow_series(np.uint16),
+    "uint32-series": _create_narrow_series(np.uint32),
+}
+
+_index_or_series_objs = {**indices_dict, **_series, **_narrow_series}
+
+
+@pytest.fixture(params=_index_or_series_objs.keys())
+def index_or_series_obj(request):
+    """
+    Fixture for tests on indexes, series and series with a narrow dtype
+    copy to avoid mutation, e.g. setting .name
+    """
+    return _index_or_series_objs[request.param].copy(deep=True)

pandas/tests/base/conftest.py

@@ -34,6 +34,7 @@
     period_range,
 )
 import pandas._testing as tm
+from pandas.conftest import indices_dict
 from pandas.core.indexes.api import (
     Index,
     MultiIndex,
@@ -42,7 +43,6 @@
     ensure_index_from_sequences,
 )
 from pandas.tests.indexes.common import Base
-from pandas.tests.indexes.conftest import indices_dict
 
 
 class TestIndex(Base):

pandas/tests/indexes/conftest.py

@@ -13,7 +13,7 @@
 from pandas import Float64Index, Int64Index, RangeIndex, UInt64Index
 import pandas._testing as tm
 from pandas.api.types import pandas_dtype
-from pandas.tests.indexes.conftest import indices_dict
+from pandas.conftest import indices_dict
 
 COMPATIBLE_INCONSISTENT_PAIRS = {
     (Int64Index, RangeIndex): (tm.makeIntIndex, tm.makeRangeIndex),