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Split parametrization

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This commit is contained in:
Andrew Murray 2025-07-22 22:59:15 +10:00 committed by wiredfool
parent 5fc0cf19c6
commit 324258ca7a
2 changed files with 18 additions and 28 deletions
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23
Tests/test_arro3.py
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@ -225,23 +225,18 @@ def test_fromarray(mode: str, data_tp: DataShape, mask: list[int] | None) -> Non
@pytest.mark.parametrize(
"mode, data_tp, mask",
"mode, mask",
(
("LA", UINT32, [0, 3]),
("RGB", UINT32, [0, 1, 2]),
("RGBA", UINT32, None),
("CMYK", UINT32, None),
("YCbCr", UINT32, [0, 1, 2]),
("HSV", UINT32, [0, 1, 2]),
("LA", INT32, [0, 3]),
("RGB", INT32, [0, 1, 2]),
("RGBA", INT32, None),
("CMYK", INT32, None),
("YCbCr", INT32, [0, 1, 2]),
("HSV", INT32, [0, 1, 2]),
("LA", [0, 3]),
("RGB", [0, 1, 2]),
("RGBA", None),
("CMYK", None),
("YCbCr", [0, 1, 2]),
("HSV", [0, 1, 2]),
),
)
def test_from_int32array(mode: str, data_tp: DataShape, mask: list[int] | None) -> None:
@pytest.mark.parametrize("data_tp", (UINT32, INT32))
def test_from_int32array(mode: str, mask: list[int] | None, data_tp: DataShape) -> None:
(dtype, elt, elts_per_pixel) = data_tp
ct_pixels = TEST_IMAGE_SIZE[0] * TEST_IMAGE_SIZE[1]

23
Tests/test_nanoarrow.py
View File

@ -232,23 +232,18 @@ def test_fromarray(mode: str, data_tp: DataShape, mask: list[int] | None) -> Non
@pytest.mark.parametrize(
"mode, data_tp, mask",
"mode, mask",
(
("LA", UINT32, [0, 3]),
("RGB", UINT32, [0, 1, 2]),
("RGBA", UINT32, None),
("CMYK", UINT32, None),
("YCbCr", UINT32, [0, 1, 2]),
("HSV", UINT32, [0, 1, 2]),
("LA", INT32, [0, 3]),
("RGB", INT32, [0, 1, 2]),
("RGBA", INT32, None),
("CMYK", INT32, None),
("YCbCr", INT32, [0, 1, 2]),
("HSV", INT32, [0, 1, 2]),
("LA", [0, 3]),
("RGB", [0, 1, 2]),
("RGBA", None),
("CMYK", None),
("YCbCr", [0, 1, 2]),
("HSV", [0, 1, 2]),
),
)
def test_from_int32array(mode: str, data_tp: DataShape, mask: list[int] | None) -> None:
@pytest.mark.parametrize("data_tp", (UINT32, INT32))
def test_from_int32array(mode: str, mask: list[int] | None, data_tp: DataShape) -> None:
(dtype, elt, elts_per_pixel) = data_tp
ct_pixels = TEST_IMAGE_SIZE[0] * TEST_IMAGE_SIZE[1]