def array_to_dask(x, name=None, chunks=None, **kwargs):
if chunks is None:
raise ValueError("chunks cannot be None")
return from_array(x,
chunks=chunks,
name=name,
**filter_kwargs(from_array, kwargs))
def array_to_dask(x, name=None, chunks=None, **kwargs):
if chunks is None:
raise ValueError("chunks cannot be None")
return from_array(x, chunks=chunks, name=name, **filter_kwargs(from_array, kwargs))
def array_to_dask(x, name=None, blockshape=None, **kwargs):
if blockshape is None:
raise NotImplementedError("blockshape cannot be None")
return from_array(x, blockshape=blockshape, name=name, **kwargs)
def array_to_dask(x, name=None, blockshape=None, **kwargs):
if blockshape is None:
raise NotImplementedError("blockshape cannot be None")
return from_array(x, blockshape=blockshape, name=name, **kwargs)
def from_tiledb(uri,
attribute=None,
chunks=None,
storage_options=None,
**kwargs):
"""Load array from the TileDB storage format
See https://docs.tiledb.io for more information about TileDB.
Parameters
----------
uri: TileDB array or str
Location to save the data
attribute: str or None
Attribute selection (single-attribute view on multi-attribute array)
Returns
-------
A Dask Array
Examples
--------
>>> import tempfile, tiledb
>>> import dask.array as da, numpy as np
>>> uri = tempfile.NamedTemporaryFile().name
>>> _ = tiledb.from_numpy(uri, np.arange(0,9).reshape(3,3)) # create a tiledb array
>>> tdb_ar = da.from_tiledb(uri) # read back the array
>>> tdb_ar.shape
(3, 3)
>>> tdb_ar.mean().compute()
4.0
"""
import tiledb
tiledb_config = storage_options or dict()
key = tiledb_config.pop("key", None)
if isinstance(uri, tiledb.Array):
tdb = uri
else:
tdb = tiledb.open(uri, attr=attribute, config=tiledb_config, key=key)
if tdb.schema.sparse:
raise ValueError("Sparse TileDB arrays are not supported")
if not attribute:
if tdb.schema.nattr > 1:
raise TypeError("keyword 'attribute' must be provided"
"when loading a multi-attribute TileDB array")
else:
attribute = tdb.schema.attr(0).name
if tdb.iswritable:
raise ValueError("TileDB array must be open for reading")
chunks = chunks or _tiledb_to_chunks(tdb)
assert len(chunks) == tdb.schema.ndim
return core.from_array(tdb, chunks, name="tiledb-%s" % uri)