<!-- 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
The PR is to avoid `importScripts` error when loading pyodide in a module type worker. Currently `loadScripts`  uses `importScripts` to import dependency  which throws an error when the worker is of type `module`.

### 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 -->

- [x] Add a [CHANGELOG](https://github.com/pyodide/pyodide/blob/main/docs/project/changelog.md) entry
- [x] Add / update tests
- [ ] Add new / update outdated documentation

Use ESM import in module type webworker. <!-- 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
The PR is to avoid `importScripts` error when loading pyodide in a module type worker. Currently `loadScripts`  uses `importScripts` to import dependency  which throws an error when the worker is of type `module`.

### 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 -->

- [x] Add a [CHANGELOG](https://github.com/pyodide/pyodide/blob/main/docs/project/changelog.md) entry
- [x] Add / update tests
- [ ] Add new / update outdated documentation

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 color, data
    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.color import rgb2gray
    from skimage.data import astronaut
    from skimage.filters import sobel
    from skimage.segmentation import felzenszwalb, quickshift, slic, 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
    assert len(np.unique(segments_watershed)) == 256

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 color, data
    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.color import rgb2gray
    from skimage.data import astronaut
    from skimage.filters import sobel
    from skimage.segmentation import felzenszwalb, quickshift, slic, 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
    assert len(np.unique(segments_watershed)) == 256
