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from pyodide_build.testing import run_in_pyodide


@run_in_pyodide(packages=["scikit-image"], driver_timeout=40)
def test_skimage():
    import numpy as np

    from skimage import data
    from skimage import color
    from skimage.util import view_as_blocks

    # get astronaut from skimage.data in grayscale
    l = color.rgb2gray(data.astronaut())
    assert l.size == 262144
    assert l.shape == (512, 512)

    # size of blocks
    block_shape = (4, 4)

    # see astronaut as a matrix of blocks (of shape block_shape)
    view = view_as_blocks(l, block_shape)
    assert view.shape == (128, 128, 4, 4)

    from skimage.filters import threshold_otsu

    to = threshold_otsu(l)
    assert to.hex() == "0x1.8e00000000000p-2"

    from skimage.data import astronaut
    from skimage.color import rgb2gray
    from skimage.filters import sobel
    from skimage.segmentation import felzenszwalb, slic, quickshift, watershed
    from skimage.segmentation import mark_boundaries
    from skimage.util import img_as_float

    img = img_as_float(astronaut()[::2, ::2])

    segments_fz = felzenszwalb(img, scale=100, sigma=0.5, min_size=50)
    segments_slic = slic(img, n_segments=250, compactness=10, sigma=1)
    segments_quick = quickshift(img, kernel_size=3, max_dist=6, ratio=0.5)
    gradient = sobel(rgb2gray(img))
    segments_watershed = watershed(gradient, markers=250, compactness=0.001)

    assert len(np.unique(segments_fz)) == 194
    assert len(np.unique(segments_slic)) == 190
    assert len(np.unique(segments_quick)) == 695

from pyodide_build.testing import run_in_pyodide


@run_in_pyodide(packages=["scikit-image"], driver_timeout=40)
def test_skimage():
    import numpy as np

    from skimage import data
    from skimage import color
    from skimage.util import view_as_blocks

    # get astronaut from skimage.data in grayscale
    l = color.rgb2gray(data.astronaut())
    assert l.size == 262144
    assert l.shape == (512, 512)

    # size of blocks
    block_shape = (4, 4)

    # see astronaut as a matrix of blocks (of shape block_shape)
    view = view_as_blocks(l, block_shape)
    assert view.shape == (128, 128, 4, 4)

    from skimage.filters import threshold_otsu

    to = threshold_otsu(l)
    assert to.hex() == "0x1.8e00000000000p-2"

    from skimage.data import astronaut
    from skimage.color import rgb2gray
    from skimage.filters import sobel
    from skimage.segmentation import felzenszwalb, slic, quickshift, watershed
    from skimage.segmentation import mark_boundaries
    from skimage.util import img_as_float

    img = img_as_float(astronaut()[::2, ::2])

    segments_fz = felzenszwalb(img, scale=100, sigma=0.5, min_size=50)
    segments_slic = slic(img, n_segments=250, compactness=10, sigma=1)
    segments_quick = quickshift(img, kernel_size=3, max_dist=6, ratio=0.5)
    gradient = sobel(rgb2gray(img))
    segments_watershed = watershed(gradient, markers=250, compactness=0.001)

    assert len(np.unique(segments_fz)) == 194
    assert len(np.unique(segments_slic)) == 190
    assert len(np.unique(segments_quick)) == 695
