In [1]: import dask.array as da
In [2]: a = da.random.random((10, 10), chunks=2)
In [3]: a.to_zarr("/tmp/test.zarr", compute=False)
---------------------------------------------------------------------------
ReadOnlyError Traceback (most recent call last)
Input In [3], in <cell line: 1>()
----> 1 a.to_zarr("/tmp/test.zarr", compute=False)
File ~/miniconda3/envs/satpy_py39_unstable/lib/python3.9/site-packages/dask/array/core.py:2926, in Array.to_zarr(self, *args, **kwargs)
2915 def to_zarr(self, *args, **kwargs):
2916 """Save array to the zarr storage format
2917
2918 See https://zarr.readthedocs.io for details about the format.
(...)
2924 dask.array.to_zarr : equivalent function
2925 """
-> 2926 return to_zarr(self, *args, **kwargs)
File ~/miniconda3/envs/satpy_py39_unstable/lib/python3.9/site-packages/dask/array/core.py:3685, in to_zarr(arr, url, component, storage_options, overwrite, region, compute, return_stored, **kwargs)
3681 mapper = url
3683 chunks = [c[0] for c in arr.chunks]
-> 3685 z = zarr.create(
3686 shape=arr.shape,
3687 chunks=chunks,
3688 dtype=arr.dtype,
3689 store=mapper,
3690 path=component,
3691 overwrite=overwrite,
3692 **kwargs,
3693 )
3694 return arr.store(z, lock=False, compute=compute, return_stored=return_stored)
File ~/miniconda3/envs/satpy_py39_unstable/lib/python3.9/site-packages/zarr/creation.py:170, in create(shape, chunks, dtype, compressor, fill_value, order, store, synchronizer, overwrite, path, chunk_store, filters, cache_metadata, cache_attrs, read_only, object_codec, dimension_separator, write_empty_chunks, zarr_version, meta_array, **kwargs)
167 path = '/'
169 # initialize array metadata
--> 170 init_array(store, shape=shape, chunks=chunks, dtype=dtype, compressor=compressor,
171 fill_value=fill_value, order=order, overwrite=overwrite, path=path,
172 chunk_store=chunk_store, filters=filters, object_codec=object_codec,
173 dimension_separator=dimension_separator)
175 # instantiate array
176 z = Array(store, path=path, chunk_store=chunk_store, synchronizer=synchronizer,
177 cache_metadata=cache_metadata, cache_attrs=cache_attrs, read_only=read_only,
178 write_empty_chunks=write_empty_chunks, meta_array=meta_array)
File ~/miniconda3/envs/satpy_py39_unstable/lib/python3.9/site-packages/zarr/storage.py:436, in init_array(store, shape, chunks, dtype, compressor, fill_value, order, overwrite, path, chunk_store, filters, object_codec, dimension_separator)
433 if not compressor:
434 # compatibility with legacy tests using compressor=[]
435 compressor = None
--> 436 _init_array_metadata(store, shape=shape, chunks=chunks, dtype=dtype,
437 compressor=compressor, fill_value=fill_value,
438 order=order, overwrite=overwrite, path=path,
439 chunk_store=chunk_store, filters=filters,
440 object_codec=object_codec,
441 dimension_separator=dimension_separator)
File ~/miniconda3/envs/satpy_py39_unstable/lib/python3.9/site-packages/zarr/storage.py:597, in _init_array_metadata(store, shape, chunks, dtype, compressor, fill_value, order, overwrite, path, chunk_store, filters, object_codec, dimension_separator)
595 key = _prefix_to_array_key(store, _path_to_prefix(path))
596 if hasattr(store, '_metadata_class'):
--> 597 store[key] = store._metadata_class.encode_array_metadata(meta) # type: ignore
598 else:
599 store[key] = encode_array_metadata(meta)
File ~/miniconda3/envs/satpy_py39_unstable/lib/python3.9/site-packages/zarr/storage.py:1398, in FSStore.__setitem__(self, key, value)
1396 def __setitem__(self, key, value):
1397 if self.mode == 'r':
-> 1398 raise ReadOnlyError()
1399 key = self._normalize_key(key)
1400 path = self.dir_path(key)
ReadOnlyError: object is read-only
Zarr version
mainbranchNumcodecs version
0.11.0
Python Version
3.9
Operating System
Linux - ubuntu-latest
Installation
Pip into conda environment with other unstable dependencies
Description
I'm not sure if there are other changes planned to make this work, but
to_zarrin dask which callscreatein zarr now seems to open things as read-only even though it is creating a new file.Steps to reproduce
Additional output
No response