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  1. RELEASE.md

            `_tpu_estimator_embedding.py`. This allows embedding lookup statistics
            gathered at runtime to be used in embedding layer partitioning
            decisions.
    *   PluggableDevice
        *   Third-party devices can now connect to TensorFlow as plug-ins through
            [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md).
            and
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  2. okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt

    1F971         ; valid                  ;      ; NV8    # 12.0 YAWNING FACE
    1F972         ; valid                  ;      ; NV8    # 13.0 SMILING FACE WITH TEAR
    1F973..1F976  ; valid                  ;      ; NV8    # 11.0 FACE WITH PARTY HORN AND PARTY HAT..FREEZING FACE
    1F977..1F978  ; valid                  ;      ; NV8    # 13.0 NINJA..DISGUISED FACE
    1F979         ; valid                  ;      ; NV8    # 14.0 FACE HOLDING BACK TEARS
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  3. CHANGELOG/CHANGELOG-1.19.md

    flexible alternative to `EmptyDir` volumes: as with `EmptyDir`, volumes are created and deleted for each pod automatically by Kubernetes. But because the normal provisioning process is used (`PersistentVolumeClaim`), storage can be provided by third-party storage vendors and all of the usual volume features work. Volumes don't need to be empt; for example, restoring from snapshot is supported. ([#92784](https://github.com/kubernetes/kubernetes/pull/92784), [@pohly](https://github.com/pohly)) [SIG API...
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