I've updated the following packages:


- ~~chore: update lxml to 4.8.0~~
- chore: update MarkupSafe to 2.1.0
- chore: update astropy to 5.0.1
- chore: update logbook to 1.5.3
- chore: update regex to 2022.1.18
- chore: update sqlalchemy to 1.4.31
- chore: updated cffi to 1.15.0
- chore: updated imageio to 2.16.1
- chore: updated setuptools to 60.9.3
- chore: updated pytest to 7.0.1
- chore: updated typing-extensions to 4.1.1
- chore: updated pyrsistent to 0.18.1
- chore: updated threadpoolctl to 3.1.0

I wasn't sure how caching was done (if I update numpy, etc. all at once will
that blow up the CI build time?), and I'm hoping to avoid failures, so I left
the big or patched ones alone. Was after lxml (see #2225), but thought I'd get a couple other ones while at it. Removed it, having an issue so will be bumped separately.

* matplotlib 3.3.3 ❌ -> 3.5.1
* nltk 3.6.7 ❌ -> 3.7
* numpy 1.21.4 ❌ -> 1.22.2
* pandas 1.3.5 ❌ -> 1.4.1
* pillow 9.0.0 ❌ -> 9.0.1
* pyrsistent 0.18.0 ❌ -> 0.18.1
* python-sat 0.1.7.dev15 ❌ -> 0.1.7.dev16
* scikit-image 0.19.1 ❌ -> 0.19.2
* scipy 1.7.3 ❌ -> 1.8.0
* statsmodels 0.13.1 ❌ -> 0.13.2
* swiglpk 5.0.3 ❌ -> 5.0.4
* yt 3.6.1 ❌ -> 4.0.2
* zarr 2.10.3 ❌ -> 2.11.0

chore: some package updates. I've updated the following packages:


- ~~chore: update lxml to 4.8.0~~
- chore: update MarkupSafe to 2.1.0
- chore: update astropy to 5.0.1
- chore: update logbook to 1.5.3
- chore: update regex to 2022.1.18
- chore: update sqlalchemy to 1.4.31
- chore: updated cffi to 1.15.0
- chore: updated imageio to 2.16.1
- chore: updated setuptools to 60.9.3
- chore: updated pytest to 7.0.1
- chore: updated typing-extensions to 4.1.1
- chore: updated pyrsistent to 0.18.1
- chore: updated threadpoolctl to 3.1.0

I wasn't sure how caching was done (if I update numpy, etc. all at once will
that blow up the CI build time?), and I'm hoping to avoid failures, so I left
the big or patched ones alone. Was after lxml (see #2225), but thought I'd get a couple other ones while at it. Removed it, having an issue so will be bumped separately.

* matplotlib 3.3.3 ❌ -> 3.5.1
* nltk 3.6.7 ❌ -> 3.7
* numpy 1.21.4 ❌ -> 1.22.2
* pandas 1.3.5 ❌ -> 1.4.1
* pillow 9.0.0 ❌ -> 9.0.1
* pyrsistent 0.18.0 ❌ -> 0.18.1
* python-sat 0.1.7.dev15 ❌ -> 0.1.7.dev16
* scikit-image 0.19.1 ❌ -> 0.19.2
* scipy 1.7.3 ❌ -> 1.8.0
* statsmodels 0.13.1 ❌ -> 0.13.2
* swiglpk 5.0.3 ❌ -> 5.0.4
* yt 3.6.1 ❌ -> 4.0.2
* zarr 2.10.3 ❌ -> 2.11.0

from pyodide_build.testing import run_in_pyodide


@run_in_pyodide(packages=["numpy", "numcodecs", "zarr"])
def test_zarr():
    import numpy as np
    import zarr
    from numcodecs import Blosc

    # basic test
    z = zarr.zeros((1000, 1000), chunks=(100, 100), dtype="i4")
    assert z.shape == (1000, 1000)

    # test assignment
    z[0, :] = np.arange(1000)
    assert z[0, 1] == 1

    # test saving and loading
    a1 = np.arange(10)
    zarr.save("/tmp/example.zarr", a1)
    a2 = zarr.load("/tmp/example.zarr")
    np.testing.assert_equal(a1, a2)

    # test compressor
    compressor = Blosc(cname="zstd", clevel=3, shuffle=Blosc.BITSHUFFLE)
    data = np.arange(10000, dtype="i4").reshape(100, 100)
    z = zarr.array(data, chunks=(10, 10), compressor=compressor)
    assert z.compressor == compressor

from pyodide_build.testing import run_in_pyodide


@run_in_pyodide(packages=["numpy", "numcodecs", "zarr"])
def test_zarr():
    import numpy as np
    import zarr
    from numcodecs import Blosc

    # basic test
    z = zarr.zeros((1000, 1000), chunks=(100, 100), dtype="i4")
    assert z.shape == (1000, 1000)

    # test assignment
    z[0, :] = np.arange(1000)
    assert z[0, 1] == 1

    # test saving and loading
    a1 = np.arange(10)
    zarr.save("/tmp/example.zarr", a1)
    a2 = zarr.load("/tmp/example.zarr")
    np.testing.assert_equal(a1, a2)

    # test compressor
    compressor = Blosc(cname="zstd", clevel=3, shuffle=Blosc.BITSHUFFLE)
    data = np.arange(10000, dtype="i4").reshape(100, 100)
    z = zarr.array(data, chunks=(10, 10), compressor=compressor)
    assert z.compressor == compressor
