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AttributeError: type object 'MultiscaleSpatialImage' has no attribute 'from_dict'
When running the vignette Use landmark annotations to align multiple -omics layers, I run into an attribute error on cell #2
xenium_sdata = sd.read_zarr("xenium.zarr")
xenium_sdata
The error is
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[5], line 1
----> 1 xenium_sdata = sd.read_zarr("xenium.zarr")
2 xenium_sdata
File ~/miniconda/envs/serial_integration/lib/python3.10/site-packages/spatialdata/_io/io_zarr.py:80, in read_zarr(store, selection)
78 f_elem = group[subgroup_name]
79 f_elem_store = os.path.join(f_store_path, f_elem.path)
---> 80 element = _read_multiscale(f_elem_store, raster_type="image")
81 images[subgroup_name] = element
82 count += 1
File ~/miniconda/envs/serial_integration/lib/python3.10/site-packages/spatialdata/_io/io_raster.py:86, in _read_multiscale(store, raster_type, fmt)
79 data = node.load(Multiscales).array(resolution=d, version=fmt.version)
80 multiscale_image[f"scale{i}"] = DataArray(
81 data,
82 name=name,
83 dims=axes,
84 coords={"c": channels} if channels is not None else {},
85 )
---> 86 msi = MultiscaleSpatialImage.from_dict(multiscale_image)
87 _set_transformations(msi, transformations)
88 return compute_coordinates(msi)
AttributeError: type object 'MultiscaleSpatialImage' has no attribute 'from_dict'
Any help would be appreciated
Hi @Kmason23, I think the error was due to a new major release of multiscale_spatial_image that broke some API calls and that haven't been fixed yet. We patched this by pinning down the version of multiscale_spatial_image during installation. If you re pip-install our library the problem should disappear. Could you try please?