def test_skimage(selenium):
    selenium.load_package("scikit-image")
    selenium.run(
        r"""
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
    """
    )