chore: import upstream snapshot with attribution
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import logging
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from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
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from ray.data._internal.delegating_block_builder import DelegatingBlockBuilder
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from ray.data._internal.util import _check_import
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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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logger = logging.getLogger(__name__)
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class VideoDatasource(FileBasedDatasource):
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_FILE_EXTENSIONS = [
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"mp4",
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"mkv",
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"mov",
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"avi",
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"wmv",
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"flv",
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"webm",
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"m4v",
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"3gp",
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"mpeg",
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"mpg",
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"ts",
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"ogv",
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"rm",
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"rmvb",
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"vob",
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"asf",
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"f4v",
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"m2ts",
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"mts",
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"divx",
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"xvid",
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"mxf",
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]
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def __init__(
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self,
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paths: Union[str, List[str]],
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include_timestamps=False,
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decord_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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_check_import(self, module="decord", package="decord")
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self.include_timestamps = include_timestamps
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if decord_load_args is None:
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self.decord_load_args = {}
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else:
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self.decord_load_args = decord_load_args
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def _read_stream(self, f: "pyarrow.NativeFile", path: str):
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from decord import VideoReader
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reader = VideoReader(f, **self.decord_load_args)
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for frame_index, frame in enumerate(reader):
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item = {"frame": frame.asnumpy(), "frame_index": frame_index}
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if self.include_timestamps is True:
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item["frame_timestamp"] = reader.get_frame_timestamp(frame_index)
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builder = DelegatingBlockBuilder()
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builder.add(item)
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yield builder.build()
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