<!-- Thank you for contributing to Pyodide! All improvements are welcome,
     so don't be afraid to make a PR. -->

<!-- [IMPORTANT] Note on CI failures:
     Currently, we are having issues with selenium-based tests.
     Don't panic if the CI fails on your PR because of timeouts.
     It's probably not your fault. We will investigate :) -->

### Description

<!-- Please explain what your PR is about:
     - reasoning for the change
     - some details of updated code
     - any noteworthy choices to be aware of
	Please refer to any related issues by #<issue_id> -->

Working on using pre-commit properly. Will be a series of commits, and undrafted after they are complete.

Rough plan:

- [x] Commit 1: update pre-commit, prepare mypy to run correctly.
- [x] Next commit: apply pre-commit fixes
- [x] Next commit: use pre-commit instead of manual runs inside Makefile.
- [x] Somewhere in between commit: fix manual issues

### Checklists

<!-- Note on checklists:
     If you think some of these steps are not necessary for your PR,
     just remove those checkboxes, or mark them as checked. Otherwise,
     if some checkboxes are left unmarked, we might assume that your PR
     is not ready to be merged and we might keep you waiting -->

style: improve pre-commit. <!-- Thank you for contributing to Pyodide! All improvements are welcome,
     so don't be afraid to make a PR. -->

<!-- [IMPORTANT] Note on CI failures:
     Currently, we are having issues with selenium-based tests.
     Don't panic if the CI fails on your PR because of timeouts.
     It's probably not your fault. We will investigate :) -->

### Description

<!-- Please explain what your PR is about:
     - reasoning for the change
     - some details of updated code
     - any noteworthy choices to be aware of
	Please refer to any related issues by #<issue_id> -->

Working on using pre-commit properly. Will be a series of commits, and undrafted after they are complete.

Rough plan:

- [x] Commit 1: update pre-commit, prepare mypy to run correctly.
- [x] Next commit: apply pre-commit fixes
- [x] Next commit: use pre-commit instead of manual runs inside Makefile.
- [x] Somewhere in between commit: fix manual issues

### Checklists

<!-- Note on checklists:
     If you think some of these steps are not necessary for your PR,
     just remove those checkboxes, or mark them as checked. Otherwise,
     if some checkboxes are left unmarked, we might assume that your PR
     is not ready to be merged and we might keep you waiting -->

import os

from pyodide_build.testing import run_in_pyodide

if "CI" in os.environ:
    xfail_browsers = {"chrome": "scikit-image takes too long to load in CI "}
else:
    xfail_browsers = {}


@run_in_pyodide(
    packages=["scikit-image"], driver_timeout=40, xfail_browsers=xfail_browsers
)
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.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)) == 196
    assert len(np.unique(segments_quick)) == 695

import os

from pyodide_build.testing import run_in_pyodide

if "CI" in os.environ:
    xfail_browsers = {"chrome": "scikit-image takes too long to load in CI "}
else:
    xfail_browsers = {}


@run_in_pyodide(
    packages=["scikit-image"], driver_timeout=40, xfail_browsers=xfail_browsers
)
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.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)) == 196
    assert len(np.unique(segments_quick)) == 695
