From 3d77723a0c9d245f61e124c58a11e3a1779b3c0d Mon Sep 17 00:00:00 2001 From: wiredfool Date: Thu, 17 Apr 2025 21:42:42 +0100 Subject: [PATCH] Added arrow support for a flat array of 4*uint8 for image32 modes --- Tests/test_pyarrow.py | 66 +++++++++++++++++++++++++++++++++++++--- src/libImaging/Storage.c | 14 +++++++++ 2 files changed, 75 insertions(+), 5 deletions(-) diff --git a/Tests/test_pyarrow.py b/Tests/test_pyarrow.py index ece9f8f26..e7f2bc5f9 100644 --- a/Tests/test_pyarrow.py +++ b/Tests/test_pyarrow.py @@ -18,18 +18,25 @@ TEST_IMAGE_SIZE = (10, 10) def _test_img_equals_pyarray( - img: Image.Image, arr: Any, mask: list[int] | None + img: Image.Image, arr: Any, mask: list[int] | None, elts_per_pixel: int = 1 ) -> None: - assert img.height * img.width == len(arr) + assert img.height * img.width * elts_per_pixel == len(arr) px = img.load() assert px is not None + if elts_per_pixel > 1 and mask is None: + # have to do element wise comparison when we're comparing + # flattened r,g,b,a to a pixel. + mask = list(range(elts_per_pixel)) for x in range(0, img.size[0], int(img.size[0] / 10)): for y in range(0, img.size[1], int(img.size[1] / 10)): if mask: + pixel = px[x, y] + assert isinstance(pixel, tuple) for ix, elt in enumerate(mask): - pixel = px[x, y] - assert isinstance(pixel, tuple) - assert pixel[ix] == arr[y * img.width + x].as_py()[elt] + if elts_per_pixel == 1: + assert pixel[ix] == arr[y * img.width + x].as_py()[elt] + else: + assert pixel[ix] == arr[(y * img.width + x) * elts_per_pixel + elt].as_py() else: assert_deep_equal(px[x, y], arr[y * img.width + x].as_py()) @@ -110,3 +117,52 @@ def test_lifetime2() -> None: px = img2.load() assert px # make mypy happy assert isinstance(px[0, 0], int) + + +UINT_ARR = ( + fl_uint8_4_type, + [1,2,3,4], + 1 +) +UINT = ( + pyarrow.uint8(), + 3, + 4 +) + + + +@pytest.mark.parametrize( + "mode, data_tp, mask", + ( + ("L", (pyarrow.uint8(), 3, 1), None), + ("I", (pyarrow.int32(), 1<<24, 1), None), + ("F", (pyarrow.float32(), 3.14159, 1), None), + ("LA", UINT_ARR, [0, 3]), + ("LA", UINT, [0, 3]), + ("RGB", UINT_ARR, [0, 1, 2]), + ("RGBA", UINT_ARR, None), + ("RGBA", UINT_ARR, None), + ("CMYK", UINT_ARR, None), + ("YCbCr", UINT_ARR, [0, 1, 2]), + ("HSV", UINT_ARR, [0, 1, 2]), + ("RGB", UINT, [0, 1, 2]), + ("RGBA", UINT, None), + ("RGBA", UINT, None), + ("CMYK", UINT, None), + ("YCbCr", UINT, [0, 1, 2]), + ("HSV", UINT, [0, 1, 2]), + ), +) +def test_fromarray(mode: str, + data_tp: tuple, + mask:list[int] | None) -> None: + (dtype, + elt, + elts_per_pixel) = data_tp + + ct_pixels = TEST_IMAGE_SIZE[0] * TEST_IMAGE_SIZE[1] + arr = pyarrow.array([elt]*(ct_pixels*elts_per_pixel), type=dtype) + img = Image.fromarrow(arr, mode, TEST_IMAGE_SIZE) + + _test_img_equals_pyarray(img, arr, mask, elts_per_pixel) diff --git a/src/libImaging/Storage.c b/src/libImaging/Storage.c index 4fa4ecd1c..7f8d9c4a0 100644 --- a/src/libImaging/Storage.c +++ b/src/libImaging/Storage.c @@ -723,6 +723,8 @@ ImagingNewArrow( int64_t pixels = (int64_t)xsize * (int64_t)ysize; // fmt:off // don't reformat this + // stored as a single array, one element per pixel, either single band + // or multiband, where each pixel is an I32. if (((strcmp(schema->format, "I") == 0 // int32 && im->pixelsize == 4 // 4xchar* storage && im->bands >= 2) // INT32 into any INT32 Storage mode @@ -735,6 +737,7 @@ ImagingNewArrow( return im; } } + // Stored as [[r,g,b,a],....] if (strcmp(schema->format, "+w:4") == 0 // 4 up array && im->pixelsize == 4 // storage as 32 bpc && schema->n_children > 0 // make sure schema is well formed. @@ -750,6 +753,17 @@ ImagingNewArrow( return im; } } + // Stored as [r,g,b,a,r,g,b,a....] + if (strcmp(schema->format, "C") == 0 // uint8 + && im->pixelsize == 4 // storage as 32 bpc + && schema->n_children == 0 // make sure schema is well formed. + && strcmp(im->arrow_band_format, "C") == 0 // Expected Format + && 4* pixels == external_array->length) { // expected length + // single flat array, interleaved storage. + if (ImagingBorrowArrow(im, external_array, 1, array_capsule)) { + return im; + } + } // fmt: on ImagingDelete(im); return NULL;