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Fix obj arguments in assertions #59460

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Merged
merged 4 commits into from
Sep 3, 2024
Merged

Fix obj arguments in assertions #59460

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c6dfe24
Fix obj arguments in assertions
serl Aug 9, 2024
4c0c893
Add test for assert_interval_array_equal
serl Aug 23, 2024
09a1ae5
Still say MultiIndex in some cases
serl Aug 27, 2024
ad99297
Be a little braver and change the original obj definition
serl Aug 27, 2024
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6 changes: 3 additions & 3 deletions pandas/_testing/asserters.py
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Original file line number Diff line number Diff line change
Expand Up @@ -283,7 +283,7 @@ def _check_types(left, right, obj: str = "Index") -> None:
right = cast(MultiIndex, right)

for level in range(left.nlevels):
lobj = f"MultiIndex level [{level}]"
lobj = f"{obj} level [{level}]"
try:
# try comparison on levels/codes to avoid densifying MultiIndex
assert_index_equal(
Expand Down Expand Up @@ -314,7 +314,7 @@ def _check_types(left, right, obj: str = "Index") -> None:
obj=lobj,
)
# get_level_values may change dtype
_check_types(left.levels[level], right.levels[level], obj=obj)
_check_types(left.levels[level], right.levels[level], obj=lobj)
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Didn't manage to write a test for this (type seems to be already checked just above), which, given its comment, smells very corner-case-y. Probably it's better to stop the head-banging, unless you have ideas on a test case, of course


# skip exact index checking when `check_categorical` is False
elif check_exact and check_categorical:
Expand Down Expand Up @@ -527,7 +527,7 @@ def assert_interval_array_equal(
kwargs["check_freq"] = False

assert_equal(left._left, right._left, obj=f"{obj}.left", **kwargs)
assert_equal(left._right, right._right, obj=f"{obj}.left", **kwargs)
assert_equal(left._right, right._right, obj=f"{obj}.right", **kwargs)

assert_attr_equal("closed", left, right, obj=obj)

Expand Down
2 changes: 1 addition & 1 deletion pandas/tests/util/test_assert_frame_equal.py
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Expand Up @@ -79,7 +79,7 @@ def test_frame_equal_shape_mismatch(df1, df2, frame_or_series):
DataFrame.from_records(
{"a": [1.0, 2.0], "b": [2.1, 1.5], "c": ["l1", "l2"]}, index=["a", "b"]
),
"MultiIndex level \\[0\\] are different",
"DataFrame\\.index level \\[0\\] are different",
),
],
)
Expand Down
12 changes: 5 additions & 7 deletions pandas/tests/util/test_assert_index_equal.py
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Expand Up @@ -32,9 +32,9 @@ def test_index_equal_levels_mismatch():


def test_index_equal_values_mismatch(check_exact):
msg = """MultiIndex level \\[1\\] are different
msg = """Index level \\[1\\] are different

MultiIndex level \\[1\\] values are different \\(25\\.0 %\\)
Index level \\[1\\] values are different \\(25\\.0 %\\)
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I'm not sure I really like this change. I think MultiIndex level is clearer here

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I see. Just to be on the same page, have you got the opportunity to skim #59440?

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Ok so I tried to make a compromise (09a1ae5), which in short is:

root_obj = "MultiIndex" if obj == "Index" else obj
...
lobj = f"{root_obj} level [{level}]"

I find that a little brittle, as it is based on the fact that about a hundred lines before there is obj: str = "Index".

...So I tried harder (ad99297), which correspond to the current state of the PR. That is having the obj in the assert_index_equal function definition being None by default and branching immediately:

    if obj is None:
        obj = "MultiIndex" if isinstance(left, MultiIndex) else "Index"

Thoughts? Better ideas?

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Hello @mroeschke, have you got the chance to check this? Thanks!

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I'm not sure I really like this change. I think MultiIndex level is clearer here

No disagreement that it is slightly clearer, but it bucks the otherwise consistent behavior of assert_.*_equal utilizing obj when passed.

\\[left\\]: Index\\(\\[2, 2, 3, 4\\], dtype='int64'\\)
\\[right\\]: Index\\(\\[1, 2, 3, 4\\], dtype='int64'\\)"""

Expand Down Expand Up @@ -172,9 +172,9 @@ def test_index_equal_level_values_mismatch(check_exact, rtol):
idx2 = MultiIndex.from_tuples([("A", 1), ("A", 2), ("B", 3), ("B", 4)])
kwargs = {"check_exact": check_exact, "rtol": rtol}

msg = """MultiIndex level \\[1\\] are different
msg = """Index level \\[1\\] are different

MultiIndex level \\[1\\] values are different \\(25\\.0 %\\)
Index level \\[1\\] values are different \\(25\\.0 %\\)
\\[left\\]: Index\\(\\[2, 2, 3, 4\\], dtype='int64'\\)
\\[right\\]: Index\\(\\[1, 2, 3, 4\\], dtype='int64'\\)"""

Expand Down Expand Up @@ -311,9 +311,7 @@ def test_assert_multi_index_dtype_check_categorical(check_categorical):
idx1 = MultiIndex.from_arrays([Categorical(np.array([1, 2], dtype=np.uint64))])
idx2 = MultiIndex.from_arrays([Categorical(np.array([1, 2], dtype=np.int64))])
if check_categorical:
with pytest.raises(
AssertionError, match=r"^MultiIndex level \[0\] are different"
):
with pytest.raises(AssertionError, match=r"^Index level \[0\] are different"):
tm.assert_index_equal(idx1, idx2, check_categorical=check_categorical)
else:
tm.assert_index_equal(idx1, idx2, check_categorical=check_categorical)
21 changes: 20 additions & 1 deletion pandas/tests/util/test_assert_interval_array_equal.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,11 @@
import pytest

from pandas import interval_range
from pandas import (
Interval,
interval_range,
)
import pandas._testing as tm
from pandas.arrays import IntervalArray


@pytest.mark.parametrize(
Expand Down Expand Up @@ -79,3 +83,18 @@ def test_interval_array_equal_start_mismatch():

with pytest.raises(AssertionError, match=msg):
tm.assert_interval_array_equal(arr1, arr2)


def test_interval_array_equal_end_mismatch_only():
arr1 = IntervalArray([Interval(0, 1), Interval(0, 5)])
arr2 = IntervalArray([Interval(0, 1), Interval(0, 6)])

msg = """\
IntervalArray.right are different
IntervalArray.right values are different \\(50.0 %\\)
\\[left\\]: \\[1, 5\\]
\\[right\\]: \\[1, 6\\]"""

with pytest.raises(AssertionError, match=msg):
tm.assert_interval_array_equal(arr1, arr2)
2 changes: 1 addition & 1 deletion pandas/tests/util/test_assert_series_equal.py
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Expand Up @@ -137,7 +137,7 @@ def test_less_precise(data1, data2, any_float_dtype, decimals):
DataFrame.from_records(
{"a": [1.0, 2.0], "b": [2.1, 1.5], "c": ["l1", "l2"]}, index=["a", "b"]
).c,
"MultiIndex level \\[0\\] are different",
"Series\\.index level \\[0\\] are different",
),
],
)
Expand Down
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