wehub-resource-sync
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
from io import BytesIO
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from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional, Union
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import numpy as np
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from ray.data.block import Block, BlockAccessor
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from ray.data.datasource.file_based_datasource import FileBasedDatasource
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if TYPE_CHECKING:
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import pyarrow
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class NumpyDatasource(FileBasedDatasource):
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"""Numpy datasource, for reading and writing Numpy files."""
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_COLUMN_NAME = "data"
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_FILE_EXTENSIONS = ["npy"]
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def __init__(
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self,
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paths: Union[str, List[str]],
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numpy_load_args: Optional[Dict[str, Any]] = None,
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**file_based_datasource_kwargs,
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):
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super().__init__(paths, **file_based_datasource_kwargs)
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if numpy_load_args is None:
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numpy_load_args = {}
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self.numpy_load_args = numpy_load_args
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def _read_stream(self, f: "pyarrow.NativeFile", path: str) -> Iterator[Block]:
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# TODO(ekl) Ideally numpy can read directly from the file, but it
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# seems like it requires the file to be seekable.
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buf = BytesIO()
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data = f.readall()
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buf.write(data)
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buf.seek(0)
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yield BlockAccessor.batch_to_block(
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{"data": np.load(buf, allow_pickle=True, **self.numpy_load_args)}
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)
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