id,node_id,number,state,locked,title,user,body,created_at,updated_at,closed_at,merged_at,merge_commit_sha,assignee,milestone,draft,head,base,author_association,auto_merge,repo,url,merged_by
1244439811,PR_kwDOAMm_X85KLKUD,7540,open,0,added 'storage_transformers' to valid_encodings,7460993,"This PR adds ""storage_transformers"" to the valid encodings of a variable, thus allowing Zarr stores to be written using the 
new sharding storage transformers. 

Example of usage:

```python
import xarray as xr
import numpy as np
from zarr._storage.v3_storage_transformers import ShardingStorageTransformer
from zarr._storage.v3 import DirectoryStoreV3

# Dummy dataset
da = xr.DataArray(np.random.randn(1000, 1000), dims=(""x"", ""y""))
ds = xr.Dataset(dict(dummy_var=da))
ds = ds.chunk({""x"": 100, ""y"": 100})

# Sharded store and sharding transformer
store = DirectoryStoreV3(""/home/user/dummy-sharded-store.zarr"")
transformer = ShardingStorageTransformer(""indexed"", chunks_per_shard=(5, 1))

# Write sharded store
ds.to_zarr(
    store,
    encoding={""dummy_var"": {""storage_transformers"": [transformer]}},
    zarr_version=3,
)
```









",2023-02-16T23:29:44Z,2023-03-26T20:02:40Z,,,e212c10d584cd39feb9847fb515ab794d897c0c5,,,0,62e180b39fca9de24357f005b9d845aac022fa59,830ee6de0d545c997df84fe69b0ac2334bde1d1b,FIRST_TIME_CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/7540,
1263183724,PR_kwDOAMm_X85LSqds,7585,closed,0,todel,7460993,,2023-03-04T19:05:25Z,2023-03-04T19:45:22Z,2023-03-04T19:06:18Z,,99b5c3e184f85e696fd3d0e4c4d1a7bd98ca2190,,,0,780ea2ce4d3f5508efbfc863c96a1c8d85463b0d,830ee6de0d545c997df84fe69b0ac2334bde1d1b,FIRST_TIME_CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/7585,