chore: import upstream snapshot with attribution
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# Used by CI for datasets tests.
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# https://github.com/ray-project/ray/pull/29448#discussion_r1006256498
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python-snappy
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tensorflow-datasets==4.9.3
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datasets>=3.0.2
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pytest-repeat
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soundfile
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fastavro
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google-cloud-bigquery
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google-cloud-core
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google-cloud-bigquery-storage
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google-api-core
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webdataset
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raydp==1.7.0b20250423.dev0
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pylance
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delta-sharing
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deltalake==1.5.0
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pytest-mock
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decord
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snowflake-connector-python>=3.15.0
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pyiceberg[sql-sqlite]==0.11.0
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clickhouse-connect
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confluent-kafka
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pybase64
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hudi==0.4.0
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datasketches
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testcontainers[kafka]
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obstore
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pyarrow
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torch
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tensorflow
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jax
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jaxlib
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tensorflow-datasets
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tensorflow-metadata>=1.17.0
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tf-keras
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torchvision==0.24.0
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confluent-kafka
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zarr<3 ; python_version >= '3.11' # zarr 2.18.4+ requires py3.11+ (v2 API)
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zarr>=2.18,<2.18.4 ; python_version < '3.11' # 2.18.3: last v2 line supporting py3.10
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# numcodecs is zarr's codec dep; 0.14+ dropped py3.10. Pin per-Python with exact
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# versions so the markers survive pip-compile -- the compiled-constraint pin must
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# stay gated to py3.11+, otherwise the py3.10 data locks can't resolve zarr.
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numcodecs==0.15.1 ; python_version >= '3.11'
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numcodecs==0.13.1 ; python_version < '3.11'
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