Make tensorstore optional (#44)

* Make tensorstore optional, rename to open_zarr
* Make tensorstore an optional dependency
* Remove unused imports
* Remove outdated unused class
* Update test workflow
* Fix tox.ini
* Use mode='a' when opening zarr array

.github/workflows/test_and_deploy.yml

@@ -20,7 +20,7 @@ jobs:
     strategy:
       matrix:
         platform: [ubuntu-latest, windows-latest, macos-latest]
-        python-version: [3.8, 3.9, '3.10']
+        python-version: ['3.9', '3.10', '3.11']
 
     steps:
       - uses: actions/checkout@v2
@@ -51,7 +51,7 @@ jobs:
 
       # this runs the platform-specific tests declared in tox.ini
       - name: Test with tox
-        uses: GabrielBB/xvfb-action@v1
+        uses: aganders3/headless-gui@v1
         with:
           run: python -m tox
         env:

setup.cfg

@@ -34,7 +34,6 @@ install_requires =
     qtpy
     scipy
     scikit-image
-    tensorstore
     toolz
     zarr
 
@@ -56,5 +55,8 @@ testing =
     pytest-qt
     napari[pyqt5]
 
+all =
+    tensorstore
+
 [options.package_data]
 zarpaint = napari.yaml

src/zarpaint/__init__.py

@@ -3,7 +3,7 @@
 except ImportError:
     __version__ = "unknown"
 
-from ._zarpaint import create_labels, open_tensorstore
+from ._zarpaint import create_labels, open_zarr
 from ._dims_chooser import DimsSorter, set_axis_labels
 from ._watershed import watershed_split
 from ._add_3d_points import add_points_3d_with_alt_click
@@ -12,7 +12,7 @@
 
 __all__ = [
         'create_labels',
-        'open_tensorstore',
+        'open_zarr',
         'DimsSorter',
         'set_axis_labels',
         'watershed_split',

src/zarpaint/_tests/test_copy_data.py

@@ -1,8 +1,6 @@
-from napari.layers import Labels
 from zarpaint import copy_data
 import numpy as np
-import tensorstore as ts
-from zarpaint import open_tensorstore
+from zarpaint import open_zarr
 import zarr
 
 def test_copy_data(make_napari_viewer):
@@ -19,7 +17,7 @@ def test_copy_data(make_napari_viewer):
 def test_copy_data_tensorstore(make_napari_viewer, tmp_path):
     viewer = make_napari_viewer()
     labels_layer1 = viewer.add_labels(np.random.randint(0, 2**23, size=(10, 20, 30)))
-    array2 = open_tensorstore(tmp_path/"example.zarr", shape=(2, 10, 20, 30), chunks=(1, 1, 20, 30))
+    array2 = open_zarr(tmp_path / "example.zarr", shape=(2, 10, 20, 30), chunks=(1, 1, 20, 30))
     labels_layer2 = viewer.add_labels(array2)
     viewer.dims.set_point(axis=0, value=1)
     widget = copy_data()