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https://github.com/python-pillow/Pillow.git
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118 lines
3.6 KiB
Python
118 lines
3.6 KiB
Python
from __future__ import annotations
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from typing import TYPE_CHECKING, Any
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import pytest
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from packaging.version import parse as parse_version
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from PIL import Image
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from .helper import hopper
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numpy = pytest.importorskip("numpy", reason="NumPy not installed")
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im = hopper().resize((128, 100))
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if TYPE_CHECKING:
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import numpy.typing as npt
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def test_toarray() -> None:
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def test(mode: str) -> tuple[tuple[int, ...], str, int]:
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ai = numpy.array(im.convert(mode))
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return ai.shape, ai.dtype.str, ai.nbytes
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def test_with_dtype(dtype: npt.DTypeLike) -> None:
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ai = numpy.array(im, dtype=dtype)
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assert ai.dtype.type is dtype
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# assert test("1") == ((100, 128), '|b1', 1600))
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assert test("L") == ((100, 128), "|u1", 12800)
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# FIXME: wrong?
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assert test("I") == ((100, 128), Image._ENDIAN + "i4", 51200)
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# FIXME: wrong?
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assert test("F") == ((100, 128), Image._ENDIAN + "f4", 51200)
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assert test("LA") == ((100, 128, 2), "|u1", 25600)
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assert test("RGB") == ((100, 128, 3), "|u1", 38400)
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assert test("RGBA") == ((100, 128, 4), "|u1", 51200)
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assert test("RGBX") == ((100, 128, 4), "|u1", 51200)
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test_with_dtype(numpy.float64)
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test_with_dtype(numpy.uint8)
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with Image.open("Tests/images/truncated_jpeg.jpg") as im_truncated:
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if parse_version(numpy.__version__) >= parse_version("1.23"):
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with pytest.raises(OSError):
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numpy.array(im_truncated)
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else:
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with pytest.warns(DeprecationWarning):
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numpy.array(im_truncated)
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def test_fromarray() -> None:
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class Wrapper:
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"""Class with API matching Image.fromarray"""
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def __init__(self, img: Image.Image, arr_params: dict[str, Any]) -> None:
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self.img = img
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self.__array_interface__ = arr_params
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def tobytes(self) -> bytes:
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return self.img.tobytes()
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def test(mode: str) -> tuple[str, tuple[int, int], bool]:
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i = im.convert(mode)
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a = numpy.array(i)
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# Make wrapper instance for image, new array interface
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wrapped = Wrapper(
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i,
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{
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"shape": a.shape,
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"typestr": a.dtype.str,
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"version": 3,
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"data": a.data,
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"strides": 1, # pretend it's non-contiguous
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},
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)
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out = Image.fromarray(wrapped)
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return out.mode, out.size, list(i.getdata()) == list(out.getdata())
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# assert test("1") == ("1", (128, 100), True)
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assert test("L") == ("L", (128, 100), True)
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assert test("I") == ("I", (128, 100), True)
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assert test("F") == ("F", (128, 100), True)
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assert test("LA") == ("LA", (128, 100), True)
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assert test("RGB") == ("RGB", (128, 100), True)
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assert test("RGBA") == ("RGBA", (128, 100), True)
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assert test("RGBX") == ("RGBA", (128, 100), True)
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# Test mode is None with no "typestr" in the array interface
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wrapped = Wrapper(hopper("L"), {"shape": (100, 128)})
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with pytest.raises(TypeError):
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Image.fromarray(wrapped)
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def test_fromarray_strides_without_tobytes() -> None:
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class Wrapper:
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def __init__(self, arr_params: dict[str, Any]) -> None:
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self.__array_interface__ = arr_params
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with pytest.raises(ValueError):
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wrapped = Wrapper({"shape": (1, 1), "strides": (1, 1)})
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Image.fromarray(wrapped, "L")
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def test_fromarray_palette() -> None:
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# Arrange
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i = im.convert("L")
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a = numpy.array(i)
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# Act
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out = Image.fromarray(a, "P")
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# Assert that the Python and C palettes match
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assert out.palette is not None
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assert len(out.palette.colors) == len(out.im.getpalette()) / 3
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