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test: fix broken test_docstring_consistent_parameters and mark xfail #4224

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test: fix broken test_docstring_consistent_parameters and mark xfail #4224

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940e51c
test: remove redundant test_docstring_consistent_parameters
Aniketsy Aug 1, 2026
0ce5c26
restore and improve test
Aniketsy Aug 1, 2026
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43 changes: 31 additions & 12 deletions tests/test_api/test_synchronous.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,23 @@ def test_docstrings_match(callable_name: str) -> None:
assert mismatch == []


# NOTE: this test used to always pass silently due to a bug — it compared a
# tuple like ("store", "path") against a dict keyed by single names, so the
# check never actually ran. Fixed by looping over each name separately.
# Now that it runs for real, it fails: the docstrings really are inconsistent
# across create/create_array/create_group/Group.create_array. Marked xfail
# for now so CI stays green but the issue is tracked, not forgotten.
# See #4225
@pytest.mark.xfail(

@d-v-b d-v-b Aug 4, 2026

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instead of xfailing, can we make the test work properly, e.g. by fixing it, and fixing any docstring failures the fixed test reveals?

@Aniketsy Aniketsy Aug 4, 2026

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instead of xfailing, can we make the test work properly, e.g. by fixing it, and fixing any docstring failures the fixed test reveals?

make sense, i'll be back with this shortly, maybe 1-2 days and fix this.

reason=(
"Docstrings for shared parameters (store, path, filters, codecs, "
"compressors, compressor, chunks, shape, dtype, shards, fill_value) "
"are inconsistent across create/create_array/create_group/"
"Group.create_array. Test was previously a silent no-op due to a bug; "
"now fixed and failing as expected. See #XXXX."
),
strict=True,
)
@pytest.mark.parametrize(
("parameter_name", "array_creation_routines"),
[
Expand Down Expand Up @@ -78,7 +95,8 @@ def test_docstrings_match(callable_name: str) -> None:
"chunks",
"shape",
"dtype",
"shardsfill_value",
"shards",
"fill_value",
)
),
(
Expand All @@ -94,7 +112,7 @@ def test_docstrings_match(callable_name: str) -> None:
],
)
def test_docstring_consistent_parameters(
parameter_name: str, array_creation_routines: tuple[Callable[[Any], Any], ...]
parameter_name: tuple[str, ...], array_creation_routines: tuple[Callable[[Any], Any], ...]
) -> None:
"""
Tests that array and group creation routines document the same parameters consistently.
Expand All @@ -114,15 +132,16 @@ def test_docstring_consistent_parameters(
key = f"{routine.__module__}.{routine.__qualname__}"
docstring = NumpyDocString(routine.__doc__)
param_dict = {d.name: d for d in docstring["Parameters"]}
if parameter_name in param_dict:
val = param_dict[parameter_name]
if tuple(val.desc) in descs:
descs[tuple(val.desc)] = descs[tuple(val.desc)] + (key,)
else:
descs[tuple(val.desc)] = (key,)
if val.type in types:
types[val.type] = types[val.type] + (key,)
else:
types[val.type] = (key,)
for name in parameter_name:

@d-v-b d-v-b Aug 4, 2026

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iterating this way aggregates all parameters in the same dict, and then checks if they have the same description / type, which won't be true. we need to break down the aggregation per-parameter.

@Aniketsy Aniketsy Aug 4, 2026

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thanks for the pointer

if name in param_dict:
val = param_dict[name]
if tuple(val.desc) in descs:
descs[tuple(val.desc)] = descs[tuple(val.desc)] + (key,)
else:
descs[tuple(val.desc)] = (key,)
if val.type in types:
types[val.type] = types[val.type] + (key,)
else:
types[val.type] = (key,)
assert len(descs) <= 1
assert len(types) <= 1
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