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lint.

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This commit is contained in:
wiredfool 2025-07-21 11:22:45 +02:00
parent 28c7645d8b
commit 7d2abbdcf9
2 changed files with 19 additions and 9 deletions
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26
Tests/test_nanoarrow.py
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@ -78,9 +78,9 @@ def _test_img_equals_int32_pyarray(
assert pixel[ix] == arr_pixel_tuple[elt] assert pixel[ix] == arr_pixel_tuple[elt]
fl_uint8_4_type = nanoarrow.fixed_size_list(value_type=nanoarrow.uint8(nullable=False), fl_uint8_4_type = nanoarrow.fixed_size_list(
list_size=4, value_type=nanoarrow.uint8(nullable=False), list_size=4, nullable=False
nullable=False) )
@pytest.mark.parametrize( @pytest.mark.parametrize(
@ -190,7 +190,9 @@ INT32 = DataShape(
) )
@pytest.mark.xfail(reason="Support for nested array creation is not available in nanoarrow/python") @pytest.mark.xfail(
reason="Support for nested array creation is not available in nanoarrow/python"
)
@pytest.mark.parametrize( @pytest.mark.parametrize(
"mode, data_tp, mask", "mode, data_tp, mask",
( (
@ -219,10 +221,14 @@ def test_fromarray(mode: str, data_tp: DataShape, mask: list[int] | None) -> Non
# Apparently there's no good way to create this array from python using nanoarrow # Apparently there's no good way to create this array from python using nanoarrow
# https://github.com/apache/arrow-nanoarrow/issues/620 # https://github.com/apache/arrow-nanoarrow/issues/620
# the following lines will fail. # the following lines will fail.
tmp_arr = nanoarrow.c_array(elt * (ct_pixels * elts_per_pixel), schema=nanoarrow.uint8()) tmp_arr = nanoarrow.c_array(
elt * (ct_pixels * elts_per_pixel), schema=nanoarrow.uint8()
)
arr = nanoarrow.Array(tmp_arr, schema=dtype) arr = nanoarrow.Array(tmp_arr, schema=dtype)
else: else:
arr = nanoarrow.Array(nanoarrow.c_array([elt] * (ct_pixels * elts_per_pixel), schema=dtype)) arr = nanoarrow.Array(
nanoarrow.c_array([elt] * (ct_pixels * elts_per_pixel), schema=dtype)
)
img = Image.fromarrow(arr, mode, TEST_IMAGE_SIZE) img = Image.fromarrow(arr, mode, TEST_IMAGE_SIZE)
_test_img_equals_pyarray(img, arr, mask, elts_per_pixel) _test_img_equals_pyarray(img, arr, mask, elts_per_pixel)
@ -249,7 +255,9 @@ def test_from_int32array(mode: str, data_tp: DataShape, mask: list[int] | None)
(dtype, elt, elts_per_pixel) = data_tp (dtype, elt, elts_per_pixel) = data_tp
ct_pixels = TEST_IMAGE_SIZE[0] * TEST_IMAGE_SIZE[1] ct_pixels = TEST_IMAGE_SIZE[0] * TEST_IMAGE_SIZE[1]
arr = nanoarrow.Array(nanoarrow.c_array([elt] * (ct_pixels * elts_per_pixel), schema=dtype)) arr = nanoarrow.Array(
nanoarrow.c_array([elt] * (ct_pixels * elts_per_pixel), schema=dtype)
)
img = Image.fromarrow(arr, mode, TEST_IMAGE_SIZE) img = Image.fromarrow(arr, mode, TEST_IMAGE_SIZE)
_test_img_equals_int32_pyarray(img, arr, mask, elts_per_pixel) _test_img_equals_int32_pyarray(img, arr, mask, elts_per_pixel)
@ -275,7 +283,9 @@ def test_image_nested_metadata(mode: str, metadata: list[str]) -> None:
assert arr.schema.value_type.metadata assert arr.schema.value_type.metadata
assert arr.schema.value_type.metadata[b"image"] assert arr.schema.value_type.metadata[b"image"]
parsed_metadata = json.loads(arr.schema.value_type.metadata[b"image"].decode("utf8")) parsed_metadata = json.loads(
arr.schema.value_type.metadata[b"image"].decode("utf8")
)
assert "bands" in parsed_metadata assert "bands" in parsed_metadata
assert parsed_metadata["bands"] == metadata assert parsed_metadata["bands"] == metadata

2
pyproject.toml
View File

@ -59,8 +59,8 @@ optional-dependencies.mic = [
optional-dependencies.test-arrow = [ optional-dependencies.test-arrow = [
"arro3-compute", "arro3-compute",
"arro3-core", "arro3-core",
"pyarrow",
"nanoarrow", "nanoarrow",
"pyarrow",
] ]
optional-dependencies.tests = [ optional-dependencies.tests = [