8000 CI: update tests for numpy 1.20 change to floordiv by jbrockmendel · Pull Request #38172 · pandas-dev/pandas · GitHub
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CI: update tests for numpy 1.20 change to floordiv #38172

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Merged
merged 6 commits into from
Nov 30, 2020
Merged

CI: update tests for numpy 1.20 change to floordiv #38172

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cb85bb8
CI: update tests for numpy 1.20 change to floordiv
jbrockmendel Nov 30, 2020
dec6413
cleanup
jbrockmendel Nov 30, 2020
804aa46
Merge branch 'master' of https://github.com/pandas-dev/pandas into ci…
jbrockmendel Nov 30, 2020
075eecb
xfail
jbrockmendel Nov 30, 2020
e3090df
Trim down xfails
jbrockmendel Nov 30, 2020
9d096b3
fixup remove leftover
jbrockmendel Nov 30, 2020
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cleanup
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@jbrockmendel
jbrockmendel committed Nov 30, 2020
commit dec6413f9bd97ab802c9f058abf41119ecaf8fbb
21 changes: 18 additions & 3 deletions pandas/tests/arrays/sparse/test_arithmetics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
import pandas as pd
import pandas._testing as tm
from pandas.core import ops
from pandas.core.arrays.sparse import SparseArray, SparseDtype
from pandas.core.arrays.sparse import IntIndex, SparseArray, SparseDtype


@pytest.fixture(params=["integer", "block"])
Expand All @@ -31,7 +31,7 @@ class TestSparseArrayArithmetics:
def _assert(self, a, b):
tm.assert_numpy_array_equal(a, b)

def _check_numeric_ops(self, a, b, a_dense, b_dense, mix, op):
def _check_numeric_ops(self, a, b, a_dense, b_dense, mix, op, flag=False):
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what is flag for?

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leftover from previous attempt at a fix, will remove

with np.errstate(invalid="ignore", divide="ignore"):
if mix:
result = op(a, b_dense).to_dense()
Expand All @@ -46,7 +46,22 @@ def _check_numeric_ops(self, a, b, a_dense, b_dense, mix, op):

if op in [operator.floordiv, ops.rfloordiv]:
# Series sets 1//0 to np.inf, which SparseArray does not do (yet)
if _np_version_under1p20:
condition = _np_version_under1p20
if isinstance(a_dense, np.ndarray) and isinstance(b_dense, np.ndarray):
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can you add some comments here on what is changed, it is non-obvious from inspection what is changing (e.g. what is true in prior version and what is true now)

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yah as mentioned above, i have no frikkin idea what the underlying logic is here

condition = True
if a_dense.dtype == np.float64 and np.isnan(a.fill_value):
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this seems really fragile

# NB: these conditions are just guess-and-check
# to find what passes, no idea why these particular
# conditions are necessary.
if b_dense.dtype == np.int64 and mix:
condition = False

if a.sp_index.equals(b.sp_index):
if not mix:
condition = False
elif isinstance(a.sp_index, IntIndex):
condition = False
if condition:
# numpy 1.20 updated floordiv, matching the behavior
# in core.ops. See https://github.com/numpy/numpy/pull/16161
mask = np.isinf(expected)
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