issue_comments: 351106809
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/1770#issuecomment-351106809 | https://api.github.com/repos/pydata/xarray/issues/1770 | 351106809 | MDEyOklzc3VlQ29tbWVudDM1MTEwNjgwOQ== | 306380 | 2017-12-12T16:33:00Z | 2017-12-12T16:33:00Z | MEMBER | https://github.com/dask/gcsfs/pull/49 ```python import gcsfs fs = gcsfs.GCSFileSystem(project='pangeo-181919') gcsmap = gcsfs.mapping.GCSMap('pangeo-data/test997', gcs=fs, check=True, create=True) import dask.array as dsa shape = (30, 50, 1080, 2160) chunkshape = (1, 1, 1080, 2160) ar = dsa.random.random(shape, chunks=chunkshape) import zarr za = zarr.create(ar.shape, chunks=chunkshape, dtype=ar.dtype, store=gcsmap) In [2]: import cloudpickle In [3]: %time len(cloudpickle.dumps(gcsmap)) CPU times: user 0 ns, sys: 0 ns, total: 0 ns Wall time: 560 µs Out[3]: 213 ``` |
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