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TST: strict xfail #38960

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merged 6 commits into from
Jan 9, 2021
Merged

TST: strict xfail #38960

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38162a3
TST: strict xfail
rhshadrach Jan 4, 2021
fa4b3e4
Remove OutOfBoundsDatetime except
rhshadrach Jan 5, 2021
357c1ba
xfail instead of raises
rhshadrach Jan 5, 2021
17f18bf
Trying larger offset for BusinessDay
rhshadrach Jan 6, 2021
3daf384
Move xfail down
rhshadrach Jan 6, 2021
822d2c4
Fixup
rhshadrach Jan 6, 2021
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2 changes: 1 addition & 1 deletion pandas/conftest.py
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Original file line number Diff line number Diff line change
Expand Up @@ -473,7 +473,7 @@ def index_with_missing(request):
Fixture for indices with missing values
"""
if request.param in ["int", "uint", "range", "empty", "repeats"]:
pytest.xfail("missing values not supported")
pytest.skip("missing values not supported")
# GH 35538. Use deep copy to avoid illusive bug on np-dev
# Azure pipeline that writes into indices_dict despite copy
ind = indices_dict[request.param].copy(deep=True)
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2 changes: 0 additions & 2 deletions pandas/tests/indexing/test_coercion.py
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Expand Up @@ -466,8 +466,6 @@ def test_insert_index_datetimes(self, fill_val, exp_dtype):
with pytest.raises(TypeError, match=msg):
obj.insert(1, 1)

pytest.xfail("ToDo: must coerce to object")
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i think this indicates something that we need to fix. maybe should write out the assertion so that the xfail is meaningful

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Thanks @jbrockmendel, I was planning on pinging you and @WillAyd after a bit more digging into this, but you beat me to it :). This was originally changed in #18721 from a comment to the xfail that exists now. The comments were originally added
in 7c0b742. I'm not sure what should be asserted here; from the history it seems like it refers to the tests above.

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Also note those comments still exist in the test immediately below.

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if we want to coerce to object (and i think we do), then for starters the insert on L467 shouldn't raise but should instead be equivalent to obj.astype(object).insert(1, 1). so i think can just change that and then xfail it?

the harder question is what we do in the two cases above that with mismatched tz or mismatched tzawareness. with mismatched tz could just cast (#37605), with mismatched tzawareness could also cast to object.

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if you can create an issue for this in followup (and PR if you can!)


def test_insert_index_timedelta64(self):
obj = pd.TimedeltaIndex(["1 day", "2 day", "3 day", "4 day"])
assert obj.dtype == "timedelta64[ns]"
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6 changes: 4 additions & 2 deletions pandas/tests/tseries/offsets/common.py
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Expand Up @@ -98,12 +98,14 @@ def _get_offset(self, klass, value=1, normalize=False):
klass = klass(value, normalize=normalize)
return klass

def test_apply_out_of_range(self, tz_naive_fixture):
def test_apply_out_of_range(self, request, tz_naive_fixture):
tz = tz_naive_fixture
if self._offset is None:
return
if isinstance(tz, tzlocal) and not IS64:
pytest.xfail(reason="OverflowError inside tzlocal past 2038")
request.node.add_marker(
pytest.mark.xfail(reason="OverflowError inside tzlocal past 2038")
)

# try to create an out-of-bounds result timestamp; if we can't create
# the offset skip
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