[BUG] unhashable type: 'list'

[alexleffell]

I tried opening a .zarr folder using the napari-ome-zarr plugin but I got the error "unhashable type: 'list'"

---

MultipleReaderError Traceback (most recent call last)
File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/_qt/qt_viewer.py:966, in QtViewer._qt_open(self=<napari._qt.qt_viewer.QtViewer object>, filenames=['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr'], stack=False, choose_plugin=False, plugin=None, layer_type=None, **kwargs={})
965 try:
--> 966 self.viewer.open(
self = <napari._qt.qt_viewer.QtViewer object at 0x7fd94f591550>
self.viewer = Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoom=1.0, angles=(0.0, 0.0, 90.0), perspective=0.0, mouse_pan=True, mouse_zoom=True), cursor=Cursor(position=(1.0, 1.0), scaled=True, size=1, style=<CursorStyle.STANDARD: 'standard'>), dims=Dims(ndim=2, ndisplay=2, last_used=0, range=((0, 2, 1), (0, 2, 1)), current_step=(0, 0), order=(0, 1), axis_labels=('0', '1')), grid=GridCanvas(stride=1, shape=(-1, -1), enabled=False), layers=[], help='', status='Ready', tooltip=Tooltip(visible=False, text=''), theme='dark', title='napari', mouse_over_canvas=True, mouse_move_callbacks=[], mouse_drag_callbacks=[], mouse_double_click_callbacks=[], mouse_wheel_callbacks=[<function dims_scroll at 0x7fd964579a60>], _persisted_mouse_event={}, _mouse_drag_gen={}, _mouse_wheel_gen={}, keymap={})
filenames = ['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr']
stack = False
plugin = None
layer_type = None
kwargs = {}
967 filenames,
968 stack=stack,
969 plugin=plugin,
970 layer_type=layer_type,
971 **kwargs,
972 )
973 except ReaderPluginError as e:

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/components/viewer_model.py:1105, in ViewerModel.open(self=Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoo...ouse_drag_gen={}, _mouse_wheel_gen={}, keymap={}), path=['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr'], stack=False, plugin=None, layer_type=None, **kwargs={})
1103 # no plugin choice was made
1104 else:
-> 1105 layers = self._open_or_raise_error(
layers = <module 'napari.layers' from '/Users/alexleffell/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/layers/init.py'>
self = Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoom=1.0, angles=(0.0, 0.0, 90.0), perspective=0.0, mouse_pan=True, mouse_zoom=True), cursor=Cursor(position=(1.0, 1.0), scaled=True, size=1, style=<CursorStyle.STANDARD: 'standard'>), dims=Dims(ndim=2, ndisplay=2, last_used=0, range=((0, 2, 1), (0, 2, 1)), current_step=(0, 0), order=(0, 1), axis_labels=('0', '1')), grid=GridCanvas(stride=1, shape=(-1, -1), enabled=False), layers=[], help='', status='Ready', tooltip=Tooltip(visible=False, text=''), theme='dark', title='napari', mouse_over_canvas=True, mouse_move_callbacks=[], mouse_drag_callbacks=[], mouse_double_click_callbacks=[], mouse_wheel_callbacks=[<function dims_scroll at 0x7fd964579a60>], _persisted_mouse_event={}, _mouse_drag_gen={}, _mouse_wheel_gen={}, keymap={})
_path = ['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr']
_stack = False
kwargs = {}
layer_type = None
1106 _path, kwargs, layer_type, _stack
1107 )
1108 added.extend(layers)

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/components/viewer_model.py:1225, in ViewerModel._open_or_raise_error(self=Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoo...ouse_drag_gen={}, mouse_wheel_gen={}, keymap={}), paths=['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr'], kwargs={}, layer_type=None, stack=False)
1223 # multiple plugins
1224 else:
-> 1225 raise MultipleReaderError(
trans = <napari.utils.translations.TranslationBundle object at 0x7fd9609aec70>
path_message = '/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr'
readers = {'recOrder-napari': 'recOrder-napari', 'napari': 'napari builtins', 'napari-ome-zarr': 'napari-ome-zarr'}
paths = ['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr']
1226 trans.(
1227 "Multiple plugins found capable of reading {path_message}. Select plugin from {plugins} and pass to reading function e.g. viewer.open(..., plugin=...).",
1228 path_message=path_message,
1229 plugins=readers,
1230 deferred=True,
1231 ),
1232 list(readers.keys()),
1233 paths,
1234 )
1236 return added

MultipleReaderError: Multiple plugins found capable of reading /Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr. Select plugin from {'recOrder-napari': 'recOrder-napari', 'napari': 'napari builtins', 'napari-ome-zarr': 'napari-ome-zarr'} and pass to reading function e.g. viewer.open(..., plugin=...).

During handling of the above exception, another exception occurred:

TypeError Traceback (most recent call last)
File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/_qt/qt_viewer.py:1331, in QtViewer.dropEvent(self=<napari._qt.qt_viewer.QtViewer object>, event=<PyQt6.QtGui.QDropEvent object>)
1328 else:
1329 filenames.append(url.toString())
-> 1331 self._qt_open(
self = <napari._qt.qt_viewer.QtViewer object at 0x7fd94f591550>
filenames = ['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr']
shift_down = <KeyboardModifier.NoModifier: 0>
alt_down = <KeyboardModifier.NoModifier: 0>
1332 filenames,
1333 stack=bool(shift_down),
1334 choose_plugin=bool(alt_down),
1335 )

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/_qt/qt_viewer.py:984, in QtViewer._qt_open(self=<napari._qt.qt_viewer.QtViewer object>, filenames=['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr'], stack=False, choose_plugin=False, plugin=None, layer_type=None, **kwargs={})
974 handle_gui_reading(
975 filenames,
976 self,
(...)
981 **kwargs,
982 )
983 except MultipleReaderError:
--> 984 handle_gui_reading(filenames, self, stack, **kwargs)
filenames = ['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr']
self = <napari._qt.qt_viewer.QtViewer object at 0x7fd94f591550>
stack = False
kwargs = {}

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/_qt/dialogs/qt_reader_dialog.py:201, in handle_gui_reading(paths=['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr'], qt_viewer=<napari._qt.qt_viewer.QtViewer object>, stack=False, plugin_name=None, error=None, plugin_override=False, **kwargs={})
199 display_name, persist = readerDialog.get_user_choices()
200 if display_name:
--> 201 open_with_dialog_choices(
display_name = 'napari-ome-zarr'
persist = True
readerDialog = <napari._qt.dialogs.qt_reader_dialog.QtReaderDialog object at 0x7fd9566eaca0>
readerDialog._extension = '/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr'
readers = {'recOrder-napari': 'recOrder-napari', 'napari': 'napari builtins', 'napari-ome-zarr': 'napari-ome-zarr'}
paths = ['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr']
stack = False
qt_viewer = <napari._qt.qt_viewer.QtViewer object at 0x7fd94f591550>
kwargs = {}
202 display_name,
203 persist,
204 readerDialog._extension,
205 readers,
206 paths,
207 stack,
208 qt_viewer,
209 **kwargs,
210 )

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/_qt/dialogs/qt_reader_dialog.py:294, in open_with_dialog_choices(display_name='napari-ome-zarr', persist=True, extension='/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr', readers={'napari': 'napari builtins', 'napari-ome-zarr': 'napari-ome-zarr', 'recOrder-napari': 'recOrder-napari'}, paths=['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr'], stack=False, qt_viewer=<napari._qt.qt_viewer.QtViewer object>, **kwargs={})
290 plugin_name = [
291 p_name for p_name, d_name in readers.items() if d_name == display_name
292 ][0]
293 # may throw error, but we let it this time
--> 294 qt_viewer.viewer.open(paths, stack=stack, plugin=plugin_name, **kwargs)
plugin_name = 'napari-ome-zarr'
paths = ['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr']
qt_viewer.viewer = Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoom=1.0, angles=(0.0, 0.0, 90.0), perspective=0.0, mouse_pan=True, mouse_zoom=True), cursor=Cursor(position=(1.0, 1.0), scaled=True, size=1, style=<CursorStyle.STANDARD: 'standard'>), dims=Dims(ndim=2, ndisplay=2, last_used=0, range=((0, 2, 1), (0, 2, 1)), current_step=(0, 0), order=(0, 1), axis_labels=('0', '1')), grid=GridCanvas(stride=1, shape=(-1, -1), enabled=False), layers=[], help='', status='Ready', tooltip=Tooltip(visible=False, text=''), theme='dark', title='napari', mouse_over_canvas=True, mouse_move_callbacks=[], mouse_drag_callbacks=[], mouse_double_click_callbacks=[], mouse_wheel_callbacks=[<function dims_scroll at 0x7fd964579a60>], _persisted_mouse_event={}, _mouse_drag_gen={}, _mouse_wheel_gen={}, keymap={})
stack = False
kwargs = {}
qt_viewer = <napari._qt.qt_viewer.QtViewer object at 0x7fd94f591550>
296 if persist:
297 if not extension.endswith(os.sep):

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/components/viewer_model.py:1095, in ViewerModel.open(self=Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoo...ouse_drag_gen={}, _mouse_wheel_gen={}, keymap={}), path=['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr'], stack=False, plugin='napari-ome-zarr', layer_type=None, **kwargs={})
1092 _path = [_path] if not isinstance(_path, list) else _path
1093 if plugin:
1094 added.extend(
-> 1095 self._add_layers_with_plugins(
added = []
self = Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoom=1.0, angles=(0.0, 0.0, 90.0), perspective=0.0, mouse_pan=True, mouse_zoom=True), cursor=Cursor(position=(1.0, 1.0), scaled=True, size=1, style=<CursorStyle.STANDARD: 'standard'>), dims=Dims(ndim=2, ndisplay=2, last_used=0, range=((0, 2, 1), (0, 2, 1)), current_step=(0, 0), order=(0, 1), axis_labels=('0', '1')), grid=GridCanvas(stride=1, shape=(-1, -1), enabled=False), layers=[], help='', status='Ready', tooltip=Tooltip(visible=False, text=''), theme='dark', title='napari', mouse_over_canvas=True, mouse_move_callbacks=[], mouse_drag_callbacks=[], mouse_double_click_callbacks=[], mouse_wheel_callbacks=[<function dims_scroll at 0x7fd964579a60>], _persisted_mouse_event={}, _mouse_drag_gen={}, _mouse_wheel_gen={}, keymap={})
_path = ['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr']
kwargs = {}
plugin = 'napari-ome-zarr'
layer_type = None
_stack = False
1096 _path,
1097 kwargs=kwargs,
1098 plugin=plugin,
1099 layer_type=layer_type,
1100 stack=_stack,
1101 )
1102 )
1103 # no plugin choice was made
1104 else:
1105 layers = self._open_or_raise_error(
1106 _path, kwargs, layer_type, _stack
1107 )

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/components/viewer_model.py:1321, in ViewerModel._add_layers_with_plugins(self=Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoo...ouse_drag_gen={}, _mouse_wheel_gen={}, keymap={}), paths=['/Users/alexleffell/Downloads/2024_07_08_dinoflagellate_birefringence_processed/snap_16.zarr'], stack=False, kwargs={}, plugin='napari-ome-zarr', layer_type=None)
1319 # actually add the layer
1320 with layer_source(path=filename, reader_plugin=plugin):
-> 1321 added.extend(self._add_layer_from_data(*_data))
added = []
_data = ([dask.array<from-zarr, shape=(1, 6, 39, 2048, 2048), dtype=float32, chunksize=(1, 1, 1, 2048, 2048), chunktype=numpy.ndarray>], {'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'channel_axis': 1, 'name': '0', 'visible': [True, True, True, True, True, False], 'contrast_limits': [[0.0, 100.0], [0.0, 3.141592653589793], [0.0, 5.0], [0.0, 65535.0], [-0.2, 0.2], [0.0, 65535.0]], 'colormap': [<vispy.color.colormap.Colormap object at 0x7fd95798f670>, <vispy.color.colormap.Colormap object at 0x7fd9579dc820>, <vispy.color.colormap.Colormap object at 0x7fd9579dcbe0>, <vispy.color.colormap.Colormap object at 0x7fd9579dc8e0>, <vispy.color.colormap.Colormap object at 0x7fd9579dc790>, <vispy.color.colormap.Colormap object at 0x7fd9567a43a0>], 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}}, 'image')
self = Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoom=1.0, angles=(0.0, 0.0, 90.0), perspective=0.0, mouse_pan=True, mouse_zoom=True), cursor=Cursor(position=(1.0, 1.0), scaled=True, size=1, style=<CursorStyle.STANDARD: 'standard'>), dims=Dims(ndim=2, ndisplay=2, last_used=0, range=((0, 2, 1), (0, 2, 1)), current_step=(0, 0), order=(0, 1), axis_labels=('0', '1')), grid=GridCanvas(stride=1, shape=(-1, -1), enabled=False), layers=[], help='', status='Ready', tooltip=Tooltip(visible=False, text=''), theme='dark', title='napari', mouse_over_canvas=True, mouse_move_callbacks=[], mouse_drag_callbacks=[], mouse_double_click_callbacks=[], mouse_wheel_callbacks=[<function dims_scroll at 0x7fd964579a60>], _persisted_mouse_event={}, _mouse_drag_gen={}, _mouse_wheel_gen={}, keymap={})
1322 return added

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/components/viewer_model.py:1395, in ViewerModel._add_layer_from_data(self=Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoo...ouse_drag_gen={}, mouse_wheel_gen={}, keymap={}), data=[dask.array<from-zarr, shape=(1, 6, 39, 2048, 204...e=(1, 1, 1, 2048, 2048), chunktype=numpy.ndarray>], meta={'channel_axis': 1, 'colormap': [<vispy.color.colormap.Colormap object>, <vispy.color.colormap.Colormap object>, <vispy.color.colormap.Colormap object>, <vispy.color.colormap.Colormap object>, <vispy.color.colormap.Colormap object>, <vispy.color.colormap.Colormap object>], 'contrast_limits': [[0.0, 100.0], [0.0, 3.141592653589793], [0.0, 5.0], [0.0, 65535.0], [-0.2, 0.2], [0.0, 65535.0]], 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}, 'name': '0', 'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'visible': [True, True, True, True, True, False]}, layer_type='image')
1393 try:
1394 add_method = getattr(self, 'add' + layer_type)
-> 1395 layer = add_method(data, **(meta or {}))
add_method = <bound method ViewerModel.add_image of Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoom=1.0, angles=(0.0, 0.0, 90.0), perspective=0.0, mouse_pan=True, mouse_zoom=True), cursor=Cursor(position=(1.0, 1.0), scaled=True, size=1, style=<CursorStyle.STANDARD: 'standard'>), dims=Dims(ndim=2, ndisplay=2, last_used=0, range=((0, 2, 1), (0, 2, 1)), current_step=(0, 0), order=(0, 1), axis_labels=('0', '1')), grid=GridCanvas(stride=1, shape=(-1, -1), enabled=False), layers=[], help='', status='Ready', tooltip=Tooltip(visible=False, text=''), theme='dark', title='napari', mouse_over_canvas=True, mouse_move_callbacks=[], mouse_drag_callbacks=[], mouse_double_click_callbacks=[], mouse_wheel_callbacks=[<function dims_scroll at 0x7fd964579a60>], _persisted_mouse_event={}, _mouse_drag_gen={}, _mouse_wheel_gen={}, keymap={})>
data = [dask.array<from-zarr, shape=(1, 6, 39, 2048, 2048), dtype=float32, chunksize=(1, 1, 1, 2048, 2048), chunktype=numpy.ndarray>]
meta or {} = {'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'channel_axis': 1, 'name': '0', 'visible': [True, True, True, True, True, False], 'contrast_limits': [[0.0, 100.0], [0.0, 3.141592653589793], [0.0, 5.0], [0.0, 65535.0], [-0.2, 0.2], [0.0, 65535.0]], 'colormap': [<vispy.color.colormap.Colormap object at 0x7fd95798f670>, <vispy.color.colormap.Colormap object at 0x7fd9579dc820>, <vispy.color.colormap.Colormap object at 0x7fd9579dcbe0>, <vispy.color.colormap.Colormap object at 0x7fd9579dc8e0>, <vispy.color.colormap.Colormap object at 0x7fd9579dc790>, <vispy.color.colormap.Colormap object at 0x7fd9567a43a0>], 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}}
meta = {'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'channel_axis': 1, 'name': '0', 'visible': [True, True, True, True, True, False], 'contrast_limits': [[0.0, 100.0], [0.0, 3.141592653589793], [0.0, 5.0], [0.0, 65535.0], [-0.2, 0.2], [0.0, 65535.0]], 'colormap': [<vispy.color.colormap.Colormap object at 0x7fd95798f670>, <vispy.color.colormap.Colormap object at 0x7fd9579dc820>, <vispy.color.colormap.Colormap object at 0x7fd9579dcbe0>, <vispy.color.colormap.Colormap object at 0x7fd9579dc8e0>, <vispy.color.colormap.Colormap object at 0x7fd9579dc790>, <vispy.color.colormap.Colormap object at 0x7fd9567a43a0>], 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}}
1396 except TypeError as exc:
1397 if 'unexpected keyword argument' not in str(exc):

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/utils/migrations.py:62, in rename_argument.._wrapper.._update_from_dict(*args=(Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoo...ouse_drag_gen={}, _mouse_wheel_gen={}, keymap={}), [dask.array<from-zarr, shape=(1, 6, 39, 2048, 204...e=(1, 1, 1, 2048, 2048), chunktype=numpy.ndarray>]), **kwargs={'channel_axis': 1, 'colormap': [<vispy.color.colormap.Colormap object>, <vispy.color.colormap.Colormap object>, <vispy.color.colormap.Colormap object>, <vispy.color.colormap.Colormap object>, <vispy.color.colormap.Colormap object>, <vispy.color.colormap.Colormap object>], 'contrast_limits': [[0.0, 100.0], [0.0, 3.141592653589793], [0.0, 5.0], [0.0, 65535.0], [-0.2, 0.2], [0.0, 65535.0]], 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}, 'name': '0', 'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'visible': [True, True, True, True, True, False]})
60 kwargs = kwargs.copy()
61 kwargs[to_name] = kwargs.pop(from_name)
---> 62 return func(*args, **kwargs)
func = <function ViewerModel.add_image at 0x7fd9646d9700>
kwargs = {'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'channel_axis': 1, 'name': '0', 'visible': [True, True, True, True, True, False], 'contrast_limits': [[0.0, 100.0], [0.0, 3.141592653589793], [0.0, 5.0], [0.0, 65535.0], [-0.2, 0.2], [0.0, 65535.0]], 'colormap': [<vispy.color.colormap.Colormap object at 0x7fd95798f670>, <vispy.color.colormap.Colormap object at 0x7fd9579dc820>, <vispy.color.colormap.Colormap object at 0x7fd9579dcbe0>, <vispy.color.colormap.Colormap object at 0x7fd9579dc8e0>, <vispy.color.colormap.Colormap object at 0x7fd9579dc790>, <vispy.color.colormap.Colormap object at 0x7fd9567a43a0>], 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}}
args = (Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoom=1.0, angles=(0.0, 0.0, 90.0), perspective=0.0, mouse_pan=True, mouse_zoom=True), cursor=Cursor(position=(1.0, 1.0), scaled=True, size=1, style=<CursorStyle.STANDARD: 'standard'>), dims=Dims(ndim=2, ndisplay=2, last_used=0, range=((0, 2, 1), (0, 2, 1)), current_step=(0, 0), order=(0, 1), axis_labels=('0', '1')), grid=GridCanvas(stride=1, shape=(-1, -1), enabled=False), layers=[], help='', status='Ready', tooltip=Tooltip(visible=False, text=''), theme='dark', title='napari', mouse_over_canvas=True, mouse_move_callbacks=[], mouse_drag_callbacks=[], mouse_double_click_callbacks=[], mouse_wheel_callbacks=[<function dims_scroll at 0x7fd964579a60>], _persisted_mouse_event={}, _mouse_drag_gen={}, _mouse_wheel_gen={}, keymap={}), [dask.array<from-zarr, shape=(1, 6, 39, 2048, 2048), dtype=float32, chunksize=(1, 1, 1, 2048, 2048), chunktype=numpy.ndarray>])

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/components/viewer_model.py:907, in ViewerModel.add_image(self=Viewer(camera=Camera(center=(0.0, 0.0, 0.0), zoo...ouse_drag_gen={}, _mouse_wheel_gen={}, keymap={}), data=[dask.array<from-zarr, shape=(1, 6, 39, 2048, 204...e=(1, 1, 1, 2048, 2048), chunktype=numpy.ndarray>], channel_axis=1, rgb=None, colormap=[Colormap(colors=<class 'numpy.ndarray'> (2, 4) f...>, controls=<class 'numpy.ndarray'> (2,) float32), Colormap(colors=<class 'numpy.ndarray'> (2, 4) f...>, controls=<class 'numpy.ndarray'> (2,) float32), Colormap(colors=<class 'numpy.ndarray'> (2, 4) f...>, controls=<class 'numpy.ndarray'> (2,) float32), Colormap(colors=<class 'numpy.ndarray'> (2, 4) f...>, controls=<class 'numpy.ndarray'> (2,) float32), Colormap(colors=<class 'numpy.ndarray'> (2, 4) f...>, controls=<class 'numpy.ndarray'> (2,) float32), Colormap(colors=<class 'numpy.ndarray'> (2, 4) f...>, controls=<class 'numpy.ndarray'> (2,) float32)], contrast_limits=[[0.0, 100.0], [0.0, 3.141592653589793], [0.0, 5.0], [0.0, 65535.0], [-0.2, 0.2], [0.0, 65535.0]], gamma=1, interpolation2d='nearest', interpolation3d='linear', rendering='mip', depiction='volume', iso_threshold=None, attenuation=0.05, name='0', metadata={'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}, scale=(1.0, 1.0, 0.06499999895770306, 0.06499999895770306), translate=None, rotate=None, shear=None, affine=None, opacity=1, blending=None, visible=[True, True, True, True, True, False], multiscale=None, cache=True, plane=None, experimental_clipping_planes=None, custom_interpolation_kernel_2d=None)
903 return layer
905 layerdata_list = split_channels(data, channel_axis, **kwargs)
--> 907 layer_list = [
layerdata_list = [(dask.array<getitem, shape=(1, 39, 2048, 2048), dtype=float32, chunksize=(1, 1, 2048, 2048), chunktype=numpy.ndarray>, {'rgb': None, 'colormap': Colormap(colors=<class 'numpy.ndarray'> (2, 4) float32, name='[unnamed colormap 0]', interpolation=<ColormapInterpolationMode.LINEAR: 'linear'>, controls=<class 'numpy.ndarray'> (2,) float32), 'contrast_limits': [0.0, 100.0], 'gamma': 1, 'interpolation2d': 'nearest', 'interpolation3d': 'linear', 'rendering': 'mip', 'depiction': 'volume', 'iso_threshold': None, 'attenuation': 0.05, 'name': '0', 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}, 'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'translate': None, 'rotate': None, 'shear': None, 'affine': None, 'opacity': 1, 'blending': 'translucent_no_depth', 'visible': True, 'multiscale': False, 'cache': True, 'plane': None, 'experimental_clipping_planes': None, 'custom_interpolation_kernel_2d': None}, 'image'), (dask.array<getitem, shape=(1, 39, 2048, 2048), dtype=float32, chunksize=(1, 1, 2048, 2048), chunktype=numpy.ndarray>, {'rgb': None, 'colormap': Colormap(colors=<class 'numpy.ndarray'> (2, 4) float32, name='[unnamed colormap 1]', interpolation=<ColormapInterpolationMode.LINEAR: 'linear'>, controls=<class 'numpy.ndarray'> (2,) float32), 'contrast_limits': [0.0, 3.141592653589793], 'gamma': 1, 'interpolation2d': 'nearest', 'interpolation3d': 'linear', 'rendering': 'mip', 'depiction': 'volume', 'iso_threshold': None, 'attenuation': 0.05, 'name': '0', 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}, 'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'translate': None, 'rotate': None, 'shear': None, 'affine': None, 'opacity': 1, 'blending': 'additive', 'visible': True, 'multiscale': False, 'cache': True, 'plane': None, 'experimental_clipping_planes': None, 'custom_interpolation_kernel_2d': None}, 'image'), (dask.array<getitem, shape=(1, 39, 2048, 2048), dtype=float32, chunksize=(1, 1, 2048, 2048), chunktype=numpy.ndarray>, {'rgb': None, 'colormap': Colormap(colors=<class 'numpy.ndarray'> (2, 4) float32, name='[unnamed colormap 2]', interpolation=<ColormapInterpolationMode.LINEAR: 'linear'>, controls=<class 'numpy.ndarray'> (2,) float32), 'contrast_limits': [0.0, 5.0], 'gamma': 1, 'interpolation2d': 'nearest', 'interpolation3d': 'linear', 'rendering': 'mip', 'depiction': 'volume', 'iso_threshold': None, 'attenuation': 0.05, 'name': '0', 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}, 'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'translate': None, 'rotate': None, 'shear': None, 'affine': None, 'opacity': 1, 'blending': 'additive', 'visible': True, 'multiscale': False, 'cache': True, 'plane': None, 'experimental_clipping_planes': None, 'custom_interpolation_kernel_2d': None}, 'image'), (dask.array<getitem, shape=(1, 39, 2048, 2048), dtype=float32, chunksize=(1, 1, 2048, 2048), chunktype=numpy.ndarray>, {'rgb': None, 'colormap': Colormap(colors=<class 'numpy.ndarray'> (2, 4) float32, name='[unnamed colormap 3]', interpolation=<ColormapInterpolationMode.LINEAR: 'linear'>, controls=<class 'numpy.ndarray'> (2,) float32), 'contrast_limits': [0.0, 65535.0], 'gamma': 1, 'interpolation2d': 'nearest', 'interpolation3d': 'linear', 'rendering': 'mip', 'depiction': 'volume', 'iso_threshold': None, 'attenuation': 0.05, 'name': '0', 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}, 'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'translate': None, 'rotate': None, 'shear': None, 'affine': None, 'opacity': 1, 'blending': 'additive', 'visible': True, 'multiscale': False, 'cache': True, 'plane': None, 'experimental_clipping_planes': None, 'custom_interpolation_kernel_2d': None}, 'image'), (dask.array<getitem, shape=(1, 39, 2048, 2048), dtype=float32, chunksize=(1, 1, 2048, 2048), chunktype=numpy.ndarray>, {'rgb': None, 'colormap': Colormap(colors=<class 'numpy.ndarray'> (2, 4) float32, name='[unnamed colormap 4]', interpolation=<ColormapInterpolationMode.LINEAR: 'linear'>, controls=<class 'numpy.ndarray'> (2,) float32), 'contrast_limits': [-0.2, 0.2], 'gamma': 1, 'interpolation2d': 'nearest', 'interpolation3d': 'linear', 'rendering': 'mip', 'depiction': 'volume', 'iso_threshold': None, 'attenuation': 0.05, 'name': '0', 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}, 'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'translate': None, 'rotate': None, 'shear': None, 'affine': None, 'opacity': 1, 'blending': 'additive', 'visible': True, 'multiscale': False, 'cache': True, 'plane': None, 'experimental_clipping_planes': None, 'custom_interpolation_kernel_2d': None}, 'image'), (dask.array<getitem, shape=(1, 39, 2048, 2048), dtype=float32, chunksize=(1, 1, 2048, 2048), chunktype=numpy.ndarray>, {'rgb': None, 'colormap': Colormap(colors=<class 'numpy.ndarray'> (2, 4) float32, name='[unnamed colormap 5]', interpolation=<ColormapInterpolationMode.LINEAR: 'linear'>, controls=<class 'numpy.ndarray'> (2,) float32), 'contrast_limits': [0.0, 65535.0], 'gamma': 1, 'interpolation2d': 'nearest', 'interpolation3d': 'linear', 'rendering': 'mip', 'depiction': 'volume', 'iso_threshold': None, 'attenuation': 0.05, 'name': '0', 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}, 'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'translate': None, 'rotate': None, 'shear': None, 'affine': None, 'opacity': 1, 'blending': 'additive', 'visible': False, 'multiscale': False, 'cache': True, 'plane': None, 'experimental_clipping_planes': None, 'custom_interpolation_kernel_2d': None}, 'image')]
Image = <class 'napari.layers.image.image.Image'>
908 Image(image, **i_kwargs) for image, i_kwargs, _ in layerdata_list
909 ]
910 self.layers.extend(layer_list)
912 return layer_list

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/components/viewer_model.py:908, in (.0=<list_iterator object>)
903 return layer
905 layerdata_list = split_channels(data, channel_axis, **kwargs)
907 layer_list = [
--> 908 Image(image, **i_kwargs) for image, i_kwargs, _ in layerdata_list
Image = <class 'napari.layers.image.image.Image'>
image = dask.array<getitem, shape=(1, 39, 2048, 2048), dtype=float32, chunksize=(1, 1, 2048, 2048), chunktype=numpy.ndarray>
image, i_kwargs, _ = (dask.array<getitem, shape=(1, 39, 2048, 2048), dtype=float32, chunksize=(1, 1, 2048, 2048), chunktype=numpy.ndarray>, {'rgb': None, 'colormap': Colormap(colors=<class 'numpy.ndarray'> (2, 4) float32, name='[unnamed colormap 0]', interpolation=<ColormapInterpolationMode.LINEAR: 'linear'>, controls=<class 'numpy.ndarray'> (2,) float32), 'contrast_limits': [0.0, 100.0], 'gamma': 1, 'interpolation2d': 'nearest', 'interpolation3d': 'linear', 'rendering': 'mip', 'depiction': 'volume', 'iso_threshold': None, 'attenuation': 0.05, 'name': '0', 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}, 'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'translate': None, 'rotate': None, 'shear': None, 'affine': None, 'opacity': 1, 'blending': 'translucent_no_depth', 'visible': True, 'multiscale': False, 'cache': True, 'plane': None, 'experimental_clipping_planes': None, 'custom_interpolation_kernel_2d': None}, 'image')
i_kwargs = {'rgb': None, 'colormap': Colormap(colors=<class 'numpy.ndarray'> (2, 4) float32, name='[unnamed colormap 0]', interpolation=<ColormapInterpolationMode.LINEAR: 'linear'>, controls=<class 'numpy.ndarray'> (2,) float32), 'contrast_limits': [0.0, 100.0], 'gamma': 1, 'interpolation2d': 'nearest', 'interpolation3d': 'linear', 'rendering': 'mip', 'depiction': 'volume', 'iso_threshold': None, 'attenuation': 0.05, 'name': '0', 'metadata': {'plate': {'acquisitions': [{'id': 0}], 'columns': [{'name': '0'}], 'rows': [{'name': '0'}], 'version': '0.4', 'wells': [{'columnIndex': 0, 'path': '0/0', 'rowIndex': 0}]}}, 'scale': (1.0, 1.0, 0.06499999895770306, 0.06499999895770306), 'translate': None, 'rotate': None, 'shear': None, 'affine': None, 'opacity': 1, 'blending': 'translucent_no_depth', 'visible': True, 'multiscale': False, 'cache': True, 'plane': None, 'experimental_clipping_planes': None, 'custom_interpolation_kernel_2d': None}
_ = 'image'
909 ]
910 self.layers.extend(layer_list)
912 return layer_list

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/layers/base/base.py:89, in PostInit.call(self=<class 'napari.layers.image.image.Image'>, *args=(dask.array<getitem, shape=(1, 39, 2048, 2048), d...size=(1, 1, 2048, 2048), chunktype=numpy.ndarray>,), **kwargs={'affine': None, 'attenuation': 0.05, 'blending': 'translucent_no_depth', 'cache': True, 'colormap': Colormap(colors=<class 'numpy.ndarray'> (2, 4) f...>, controls=<class 'numpy.ndarray'> (2,) float32), 'contrast_limits': [0.0, 100.0], 'custom_interpolation_kernel_2d': None, 'depiction': 'volume', 'experimental_clipping_planes': None, 'gamma': 1, ...})
87 def call(self, *args, **kwargs):
88 obj = super().call(*args, **kwargs)
---> 89 obj._post_init()
obj = <Image layer '0' at 0x7fd9567a4fd0>
90 return obj

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/layers/image/image.py:295, in _ImageBase._post_init(self=<Image layer '0'>)
293 def _post_init(self):
294 # Trigger generation of view slice and thumbnail
--> 295 self.refresh()
self = <Image layer '0' at 0x7fd9567a4fd0>

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/layers/base/base.py:1297, in Layer.refresh(self=<Image layer '0'>, event=None)
1295 """Refresh all layer data based on current view slice."""
1296 if self.visible:
-> 1297 self.set_view_slice()
self = <Image layer '0' at 0x7fd9567a4fd0>
1298 self.events.set_data()
1299 self._update_thumbnail()

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/layers/base/base.py:1062, in Layer.set_view_slice(self=<Image layer '0'>)
1060 def set_view_slice(self):
1061 with self.dask_optimized_slicing():
-> 1062 self._set_view_slice()
self = <Image layer '0' at 0x7fd9567a4fd0>

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/layers/image/image.py:1327, in Image._set_view_slice(self=<Image layer '0'>)
1326 def _set_view_slice(self):
-> 1327 super()._set_view_slice()
1328 if self._should_calc_clims:
1329 self.reset_contrast_limits_range()

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/layers/image/image.py:599, in _ImageBase._set_view_slice(self=<Image layer '0'>)
595 # Load our images, might be sync or async.
596 data = self._SliceDataClass(
597 self, image_indices, image, thumbnail_source
598 )
--> 599 self._load_slice(data)
data = <napari.layers.image._image_slice_data.ImageSliceData object at 0x7fd957bd8490>
self = <Image layer '0' at 0x7fd9567a4fd0>

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/layers/image/image.py:619, in _ImageBase._load_slice(self=<Image layer '0'>, data=<napari.layers.image._image_slice_data.ImageSliceData object>)
612 def _load_slice(self, data: ImageSliceData):
613 """Load the image and maybe thumbnail source.
614
615 Parameters
616 ----------
617 data : Slice
618 """
--> 619 if self._slice.load(data):
data = <napari.layers.image._image_slice_data.ImageSliceData object at 0x7fd957bd8490>
self._slice = <napari.layers.image._image_slice.ImageSlice object at 0x7fd957bd8e20>
self = <Image layer '0' at 0x7fd9567a4fd0>
620 # The load was synchronous.
621 self._on_data_loaded(data, sync=True)
622 else:
623 # The load will be asynchronous. Signal that our self.loaded
624 # property is now false, since the load is in progress.

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/layers/image/_image_slice.py:125, in ImageSlice.load(self=<napari.layers.image._image_slice.ImageSlice object>, data=<napari.layers.image._image_slice_data.ImageSliceData object>)
112 """Load this data into the slice.
113
114 Parameters
(...)
122 Return True if load was synchronous.
123 """
124 self.loaded = False # False until self._on_loaded is calls
--> 125 return self.loader.load(data)
self = <napari.layers.image._image_slice.ImageSlice object at 0x7fd957bd8e20>
data = <napari.layers.image._image_slice_data.ImageSliceData object at 0x7fd957bd8490>
self.loader = <napari.layers.image._image_loader.ImageLoader object at 0x7fd957bd8f40>

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/layers/image/_image_loader.py:22, in ImageLoader.load(self=<napari.layers.image._image_loader.ImageLoader object>, data=<napari.layers.image._image_slice_data.ImageSliceData object>)
9 def load(self, data: ImageSliceData) -> bool:
10 """Load the ImageSliceData synchronously.
11
12 Parameters
(...)
20 True if load happened synchronously.
21 """
---> 22 data.load_sync()
data = <napari.layers.image._image_slice_data.ImageSliceData object at 0x7fd957bd8490>
23 return True

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/napari/layers/image/_image_slice_data.py:44, in ImageSliceData.load_sync(self=<napari.layers.image._image_slice_data.ImageSliceData object>)
42 def load_sync(self) -> None:
43 """Call asarray on our images to load them."""
---> 44 self.image = np.asarray(self.image)
self.image = dask.array<getitem, shape=(2048, 2048), dtype=float32, chunksize=(2048, 2048), chunktype=numpy.ndarray>
self = <napari.layers.image._image_slice_data.ImageSliceData object at 0x7fd957bd8490>
np = <module 'numpy' from '/Users/alexleffell/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/numpy/init.py'>
46 if self.thumbnail_source is not None:
47 self.thumbnail_source = np.asarray(self.thumbnail_source)

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/dask/array/core.py:1693, in Array.array(self=dask.array<getitem, shape=(2048, 2048), dtype=fl... chunksize=(2048, 2048), chunktype=numpy.ndarray>, dtype=None, **kwargs={})
1692 def array(self, dtype=None, **kwargs):
-> 1693 x = self.compute()
self = dask.array<getitem, shape=(2048, 2048), dtype=float32, chunksize=(2048, 2048), chunktype=numpy.ndarray>
1694 if dtype and x.dtype != dtype:
1695 x = x.astype(dtype)

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/dask/base.py:376, in DaskMethodsMixin.compute(self=dask.array<getitem, shape=(2048, 2048), dtype=fl... chunksize=(2048, 2048), chunktype=numpy.ndarray>, **kwargs={})
352 def compute(self, **kwargs):
353 """Compute this dask collection
354
355 This turns a lazy Dask collection into its in-memory equivalent.
(...)
374 dask.compute
375 """
--> 376 (result,) = compute(self, traverse=False, **kwargs)
self = dask.array<getitem, shape=(2048, 2048), dtype=float32, chunksize=(2048, 2048), chunktype=numpy.ndarray>
kwargs = {}
377 return result

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/dask/base.py:649, in compute(traverse=False, optimize_graph=True, scheduler=None, get=None, *args=(dask.array<getitem, shape=(2048, 2048), dtype=fl... chunksize=(2048, 2048), chunktype=numpy.ndarray>,), **kwargs={})
646 if not collections:
647 return args
--> 649 schedule = get_scheduler(
scheduler = None
collections = [dask.array<getitem, shape=(2048, 2048), dtype=float32, chunksize=(2048, 2048), chunktype=numpy.ndarray>]
get = None
650 scheduler=scheduler,
651 collections=collections,
652 get=get,
653 )
655 dsk = collections_to_dsk(collections, optimize_graph, **kwargs)
656 keys, postcomputes = [], []

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/dask/base.py:1524, in get_scheduler(get=None, scheduler=None, collections=[dask.array<getitem, shape=(2048, 2048), dtype=fl... chunksize=(2048, 2048), chunktype=numpy.ndarray>], cls=None)
1521 raise ValueError(get_err_msg)
1523 try:
-> 1524 from distributed import get_client
1526 return get_client().get
1527 except (ImportError, ValueError):

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/distributed/init.py:23
20 from dask.config import config # type: ignore
22 from distributed._version import get_versions
---> 23 from distributed.actor import Actor, ActorFuture, BaseActorFuture
24 from distributed.client import (
25 Client,
26 CompatibleExecutor,
(...)
35 wait,
36 )
37 from distributed.core import Status, connect, rpc

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/distributed/actor.py:13
9 from typing import Generic, Literal, NoReturn, TypeVar
11 from tornado.ioloop import IOLoop
---> 13 from distributed.client import Future
14 from distributed.protocol import to_serialize
15 from distributed.utils import LateLoopEvent, iscoroutinefunction, sync, thread_state

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/distributed/client.py:119
97 from distributed.utils import (
98 CancelledError,
99 LoopRunner,
(...)
109 thread_state,
110 )
111 from distributed.utils_comm import (
112 WrappedKey,
113 gather_from_workers,
(...)
117 unpack_remotedata,
118 )
--> 119 from distributed.worker import get_client, get_worker, secede
121 logger = logging.getLogger(name)
123 _global_clients: weakref.WeakValueDictionary[
124 int, Client
125 ] = weakref.WeakValueDictionary()

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/distributed/worker.py:119
117 from distributed.utils_perf import disable_gc_diagnosis, enable_gc_diagnosis
118 from distributed.versions import get_versions
--> 119 from distributed.worker_memory import (
120 DeprecatedMemoryManagerAttribute,
121 DeprecatedMemoryMonitor,
122 WorkerDataParameter,
123 WorkerMemoryManager,
124 )
125 from distributed.worker_state_machine import (
126 AcquireReplicasEvent,
127 BaseWorker,
(...)
151 WorkerState,
152 )
154 if TYPE_CHECKING:
155 # FIXME import from typing (needs Python >=3.10)

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/site-packages/distributed/worker_memory.py:56
53 from distributed.nanny import Nanny
54 from distributed.worker import Worker
---> 56 WorkerDataParameter: TypeAlias = Union[
MutableMapping = <class 'collections.abc.MutableMapping'>
Key, object = (typing.Union[str, bytes, int, float, tuple], <class 'object'>)
Key = typing.Union[str, bytes, int, float, tuple]
Callable = <class 'collections.abc.Callable'>
[str] = [<class 'str'>]
Any = typing.Any
str, Any = (<class 'str'>, typing.Any)
57 # pre-initialized
58 MutableMapping[Key, object],
59 # constructor
60 Callable[[], MutableMapping[Key, object]],
61 # constructor, passed worker.local_directory
62 Callable[[str], MutableMapping[Key, object]],
63 # (constructor, kwargs to constructor)
64 tuple[Callable[..., MutableMapping[Key, object]], dict[str, Any]],
65 # initialize internally
66 None,
67 ]
69 worker_logger = logging.getLogger("distributed.worker.memory")
70 worker_logger.addFilter(RateLimiterFilter(r"Unmanaged memory use is high"))

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/typing.py:243, in _tp_cache..inner(*args=(typing.Union, (collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object], collections.abc.Callable[[], collections.abc.Mut...ng.Union[str, bytes, int, float, tuple], object]], collections.abc.Callable[[<class 'str'>], collec...ng.Union[str, bytes, int, float, tuple], object]], tuple[collections.abc.Callable[..., collections...., float, tuple], object]], dict[str, typing.Any]], None)), **kwds={})
241 except TypeError:
242 pass # All real errors (not unhashable args) are raised below.
--> 243 return func(*args, **kwds)
func = <function _SpecialForm.getitem at 0x7fd95d842a60>
args = (typing.Union, (collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object], collections.abc.Callable[[], collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object]], collections.abc.Callable[[<class 'str'>], collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object]], tuple[collections.abc.Callable[..., collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object]], dict[str, typing.Any]], None))
kwds = {}

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/typing.py:316, in _SpecialForm.getitem(self=typing.Union, parameters=(collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object], collections.abc.Callable[[], collections.abc.Mut...ng.Union[str, bytes, int, float, tuple], object]], collections.abc.Callable[[<class 'str'>], collec...ng.Union[str, bytes, int, float, tuple], object]], tuple[collections.abc.Callable[..., collections...., float, tuple], object]], dict[str, typing.Any]], None))
314 @_tp_cache
315 def getitem(self, parameters):
--> 316 return self._getitem(self, parameters)
self._getitem = <function Union at 0x7fd95d842dc0>
self = typing.Union
parameters = (collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object], collections.abc.Callable[[], collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object]], collections.abc.Callable[[<class 'str'>], collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object]], tuple[collections.abc.Callable[..., collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object]], dict[str, typing.Any]], None)

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/typing.py:421, in Union(self=typing.Union, parameters=(collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object], collections.abc.Callable[[], collections.abc.Mut...ng.Union[str, bytes, int, float, tuple], object]], collections.abc.Callable[[<class 'str'>], collec...ng.Union[str, bytes, int, float, tuple], object]], tuple[collections.abc.Callable[..., collections...., float, tuple], object]], dict[str, typing.Any]], <class 'NoneType'>))
419 msg = "Union[arg, ...]: each arg must be a type."
420 parameters = tuple(_type_check(p, msg) for p in parameters)
--> 421 parameters = _remove_dups_flatten(parameters)
parameters = (collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object], collections.abc.Callable[[], collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object]], collections.abc.Callable[[<class 'str'>], collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object]], tuple[collections.abc.Callable[..., collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object]], dict[str, typing.Any]], <class 'NoneType'>)
422 if len(parameters) == 1:
423 return parameters[0]

File ~/opt/anaconda3/envs/recOrder/lib/python3.9/typing.py:215, in _remove_dups_flatten(parameters=(collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object], collections.abc.Callable[[], collections.abc.Mut...ng.Union[str, bytes, int, float, tuple], object]], collections.abc.Callable[[<class 'str'>], collec...ng.Union[str, bytes, int, float, tuple], object]], tuple[collections.abc.Callable[..., collections...., float, tuple], object]], dict[str, typing.Any]], <class 'NoneType'>))
213 params.append(p)
214 # Weed out strict duplicates, preserving the first of each occurrence.
--> 215 all_params = set(params)
params = [collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object], collections.abc.Callable[[], collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object]], collections.abc.Callable[[<class 'str'>], collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object]], tuple[collections.abc.Callable[..., collections.abc.MutableMapping[typing.Union[str, bytes, int, float, tuple], object]], dict[str, typing.Any]], <class 'NoneType'>]
216 if len(all_params) < len(params):
217 new_params = []

TypeError: unhashable type: 'list'

Expected behavior
the zarr image stacks should appear in the main screen

Environment:

Operating system:
Python version: 3.9 (installed as per the napari plugin website)
conda create -y -n recOrder python=3.9
conda activate recOrder
pip install recOrder-napari

[ziw-liu]

What Zarr dataset are you trying to load? Also note that napari-ome-zarr is a separate project at https://github.com/ome/napari-ome-zarr.