Add support for flat uint8 arrow arrays for multi channel images #8908
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radarhere
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Apr 18, 2025
radarhere
reviewed
Apr 18, 2025
Tests/test_pyarrow.py
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| ("HSV", UINT, [0, 1, 2]), | ||
| ), | ||
| ) | ||
| def test_fromarray(mode: str, data_tp: tuple, mask: list[int] | None) -> None: |
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| def test_fromarray(mode: str, data_tp: tuple, mask: list[int] | None) -> None: | |
| def test_fromarray( | |
| mode: str, data_tp: tuple[Any, list[int] | float, int], mask: list[int] | None | |
| ) -> None: |
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To channel Raymond Hettinger -- Why not a named tuple?
radarhere
reviewed
Apr 18, 2025
Tests/test_pyarrow.py
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| ("HSV", INT32, [0, 1, 2]), | ||
| ), | ||
| ) | ||
| def test_from_int32array(mode: str, data_tp: tuple, mask: list[int] | None) -> None: |
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Suggested change
| def test_from_int32array(mode: str, data_tp: tuple, mask: list[int] | None) -> None: | |
| def test_from_int32array( | |
| mode: str, data_tp: tuple[Any, int, int], mask: list[int] | None | |
| ) -> None: |
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radarhere
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Apr 21, 2025
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| UINT_ARR = DataShape( | ||
| dtype=fl_uint8_4_type, | ||
| elt=[1, 2, 3, 4], # array of 4 uint 8 per pixel |
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| elt=[1, 2, 3, 4], # array of 4 uint 8 per pixel | |
| elt=[1, 2, 3, 4], # array of 4 uint8 per pixel |
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Fixes #8907 .
Changes proposed in this pull request:
Image.fromarrowImage.fromarrow