wehub-resource-sync
79 lines
2.0 KiB
Python
79 lines
2.0 KiB
Python
from ray.data._internal.datasource.delta_sharing_datasource import (
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DeltaSharingDatasource,
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)
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from ray.data._internal.datasource.mcap_datasource import (
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MCAPDatasource,
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TimeRange,
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)
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from ray.data._internal.datasource.sql_datasource import Connection
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from ray.data._internal.datasource.turbopuffer_datasink import (
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TurbopufferDatasink,
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)
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from ray.data._internal.savemode import SaveMode
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from ray.data.datasource.datasink import (
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Datasink,
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DummyOutputDatasink,
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WriteResult,
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WriteReturnType,
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)
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from ray.data.datasource.datasource import (
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Datasource,
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RandomIntRowDatasource,
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Reader,
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ReadTask,
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)
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from ray.data.datasource.file_based_datasource import (
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FileBasedDatasource,
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FileShuffleConfig,
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_S3FileSystemWrapper,
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)
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from ray.data.datasource.file_datasink import (
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BlockBasedFileDatasink,
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RowBasedFileDatasink,
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)
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from ray.data.datasource.file_meta_provider import (
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BaseFileMetadataProvider,
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DefaultFileMetadataProvider,
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FileMetadataProvider,
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)
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from ray.data.datasource.filename_provider import FilenameProvider
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from ray.data.datasource.partitioning import (
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Partitioning,
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PartitionStyle,
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PathPartitionFilter,
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PathPartitionParser,
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)
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# Note: HuggingFaceDatasource should NOT be imported here, because
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# we want to only import the Hugging Face datasets library when we use
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# ray.data.from_huggingface() or HuggingFaceDatasource() directly.
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__all__ = [
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"BaseFileMetadataProvider",
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"Connection",
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"Datasink",
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"Datasource",
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"DefaultFileMetadataProvider",
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"DeltaSharingDatasource",
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"DummyOutputDatasink",
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"FileBasedDatasource",
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"FileShuffleConfig",
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"FileMetadataProvider",
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"FilenameProvider",
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"MCAPDatasource",
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"PartitionStyle",
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"PathPartitionFilter",
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"PathPartitionParser",
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"Partitioning",
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"RandomIntRowDatasource",
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"ReadTask",
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"Reader",
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"RowBasedFileDatasink",
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"TurbopufferDatasink",
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"BlockBasedFileDatasink",
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"_S3FileSystemWrapper",
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"TimeRange",
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"WriteResult",
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"WriteReturnType",
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"SaveMode",
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]
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