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Added type hints
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@ -4,6 +4,7 @@ IceSpringPySideStubs-PySide6
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ipython
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numpy
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packaging
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pyarrow-stubs
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pytest
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sphinx
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types-atheris
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@ -13,7 +13,11 @@ from .helper import (
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is_big_endian,
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)
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pyarrow = pytest.importorskip("pyarrow", reason="PyArrow not installed")
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TYPE_CHECKING = False
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if TYPE_CHECKING:
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import pyarrow
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else:
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pyarrow = pytest.importorskip("pyarrow", reason="PyArrow not installed")
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TEST_IMAGE_SIZE = (10, 10)
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@ -94,14 +98,14 @@ fl_uint8_4_type = pyarrow.field(
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("HSV", fl_uint8_4_type, [0, 1, 2]),
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),
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)
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def test_to_array(mode: str, dtype: Any, mask: list[int] | None) -> None:
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def test_to_array(mode: str, dtype: pyarrow.DataType, mask: list[int] | None) -> None:
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img = hopper(mode)
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# Resize to non-square
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img = img.crop((3, 0, 124, 127))
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assert img.size == (121, 127)
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arr = pyarrow.array(img)
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arr = pyarrow.array(img) # type: ignore[call-overload]
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_test_img_equals_pyarray(img, arr, mask)
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assert arr.type == dtype
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@ -118,8 +122,8 @@ def test_lifetime() -> None:
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img = hopper("L")
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arr_1 = pyarrow.array(img)
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arr_2 = pyarrow.array(img)
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arr_1 = pyarrow.array(img) # type: ignore[call-overload]
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arr_2 = pyarrow.array(img) # type: ignore[call-overload]
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del img
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@ -136,8 +140,8 @@ def test_lifetime2() -> None:
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img = hopper("L")
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arr_1 = pyarrow.array(img)
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arr_2 = pyarrow.array(img)
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arr_1 = pyarrow.array(img) # type: ignore[call-overload]
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arr_2 = pyarrow.array(img) # type: ignore[call-overload]
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assert arr_1.sum().as_py() > 0
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del arr_1
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@ -152,7 +156,7 @@ def test_lifetime2() -> None:
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class DataShape(NamedTuple):
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dtype: Any
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dtype: pyarrow.DataType
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# Strictly speaking, elt should be a pixel or pixel component, so
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# list[uint8][4], float, int, uint32, uint8, etc. But more
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# correctly, it should be exactly the dtype from the line above.
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