Fix handling of units and axis_labels in add_image

[brisvag]

Description

The new axis_labels and units arguments for layers are iterables; they need to be added to the iterable arguments to avoid problems with the channel splitting in the case of an image stack.

Currently, this fails:

import napari
import numpy as np
v = napari.Viewer()
a = np.random.rand(2, 2)
v.add_image(a, axis_labels=('x', 'y'))

with:

TypeError: Received sequence for argument 'axis_labels', did you mean to specify a 'channel_axis'?

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.86%. Comparing base (157b144) to head (b63d3df).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #7089      +/-   ##
==========================================
- Coverage   92.95%   92.86%   -0.10%     
==========================================
  Files         618      618              
  Lines       56486    56490       +4     
==========================================
- Hits        52509    52457      -52     
- Misses       3977     4033      +56     

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[jni]

Maybe add a test? 😉

[brisvag]

Added a simple test that takes the output of _get_state() to create a new layer. Will fail if any of the arguments are poorly treated in that is_sequence function.

[GenevieveBuckley]

Works great, nice fix @brisvag