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CLN: Remove Ops Mixin from pandas/tests/base #32725

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Merged
merged 2 commits into from
Mar 16, 2020
Merged

CLN: Remove Ops Mixin from pandas/tests/base #32725

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2f655f6
[#23877] CLN: fixturize & split test_base
SaturnFromTitan Mar 15, 2020
fa588bf
removed the Ops Mixin
SaturnFromTitan Mar 15, 2020
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51 changes: 1 addition & 50 deletions pandas/tests/base/test_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -40,50 +40,6 @@ def allow_na_ops(obj: Any) -> bool:
return not is_bool_index and obj._can_hold_na


class Ops:
def setup_method(self, method):
self.bool_index = tm.makeBoolIndex(10, name="a")
self.int_index = tm.makeIntIndex(10, name="a")
self.float_index = tm.makeFloatIndex(10, name="a")
self.dt_index = tm.makeDateIndex(10, name="a")
self.dt_tz_index = tm.makeDateIndex(10, name="a").tz_localize(tz="US/Eastern")
self.period_index = tm.makePeriodIndex(10, name="a")
self.string_index = tm.makeStringIndex(10, name="a")
self.unicode_index = tm.makeUnicodeIndex(10, name="a")

arr = np.random.randn(10)
self.bool_series = Series(arr, index=self.bool_index, name="a")
self.int_series = Series(arr, index=self.int_index, name="a")
self.float_series = Series(arr, index=self.float_index, name="a")
self.dt_series = Series(arr, index=self.dt_index, name="a")
self.dt_tz_series = self.dt_tz_index.to_series()
self.period_series = Series(arr, index=self.period_index, name="a")
self.string_series = Series(arr, index=self.string_index, name="a")
self.unicode_series = Series(arr, index=self.unicode_index, name="a")

types = ["bool", "int", "float", "dt", "dt_tz", "period", "string", "unicode"]
self.indexes = [getattr(self, f"{t}_index") for t in types]
self.series = [getattr(self, f"{t}_series") for t in types]

# To test narrow dtypes, we use narrower *data* elements, not *index* elements
index = self.int_index
self.float32_series = Series(arr.astype(np.float32), index=index, name="a")

arr_int = np.random.choice(10, size=10, replace=False)
self.int8_series = Series(arr_int.astype(np.int8), index=index, name="a")
self.int16_series = Series(arr_int.astype(np.int16), index=index, name="a")
self.int32_series = Series(arr_int.astype(np.int32), index=index, name="a")

self.uint8_series = Series(arr_int.astype(np.uint8), index=index, name="a")
self.uint16_series = Series(arr_int.astype(np.uint16), index=index, name="a")
self.uint32_series = Series(arr_int.astype(np.uint32), index=index, name="a")

nrw_types = ["float32", "int8", "int16", "int32", "uint8", "uint16", "uint32"]
self.narrow_series = [getattr(self, f"{t}_series") for t in nrw_types]

self.objs = self.indexes + self.series + self.narrow_series


@pytest.mark.parametrize(
"op_name, op",
[
Expand Down Expand Up @@ -132,12 +88,7 @@ def test_numpy_transpose(self, index_or_series_obj):
np.transpose(obj, axes=1)


class TestIndexOps(Ops):
def setup_method(self, method):
super().setup_method(method)
self.is_valid_objs = self.objs
self.not_valid_objs = []

class TestIndexOps:
def test_none_comparison(self, series_with_simple_index):
series = series_with_simple_index
if isinstance(series.index, IntervalIndex):
Expand Down