Add widget to copy transforms between layers

[andreasmarnold]

result from pair programming session on Oct 24, 2023 (EST)

[jni]

Thanks for the contribution @andreasmarnold! 😊

Currently the tests are failing because we need napari 0.4.17 for testing but that didn't declare that pydantic should be less than 2.0. We can fix that by adding pydantic<2 to the testing requirements here and here. Could you please do that? 🙏

[codecov-commenter]

Codecov Report

Merging #75 (ab9ccb1) into main (14a02c9) will increase coverage by 0.99%.
The diff coverage is 100.00%.

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@@            Coverage Diff             @@
##             main      #75      +/-   ##
==========================================
+ Coverage   85.96%   86.95%   +0.99%     
==========================================
  Files           4        5       +1     
  Lines         171      184      +13     
==========================================
+ Hits          147      160      +13     
  Misses         24       24              

Files	Coverage Δ
src/affinder/__init__.py	66.66% <100.00%> (+6.66%)	⬆️
src/affinder/_tests/test_affinder.py	100.00% <100.00%> (ø)
src/affinder/copy_tf.py	100.00% <100.00%> (ø)

[jni]

Awesome! imho this is basically ready to merge but it would be good to have a test! Something like:

def test_copy_affine():
    layer0 = napari.layers.Image(np.random.random((5, 5)))
    layer1 = napari.layers.Image(np.random.random((5, 5)))
    layer0.affine = np.array([[0.9, 0.1, 5], [0.4, 0.2, 9], [0, 0, 1]])

    widget = copy_affine()
    widget(layer0, layer1)
    np.testing.assert_allclose(layer0.affine, layer1.affine)