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TFDV 1.6.0 Release
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README.md

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tensorflow-data-validation | apache-beam[gcp] | pyarrow | tensorflow | tensorflow-metadata | tensorflow-transform | tfx-bsl
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------------------------------------------------------------------------------------- | ---------------- | ------- | ----------------- | ------------------- | -------------------- | -------
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[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) | 2.34.0 | 5.0.0 | nightly (1.x/2.x) | 1.5.0 | n/a | 1.5.0
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[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) | 2.35.0 | 5.0.0 | nightly (1.x/2.x) | 1.6.0 | n/a | 1.6.0
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[1.6.0](https://github.com/tensorflow/data-validation/blob/v1.6.0/RELEASE.md) | 2.35.0 | 5.0.0 | 1.15 / 2.7 | 1.6.0 | n/a | 1.6.0
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[1.5.0](https://github.com/tensorflow/data-validation/blob/v1.5.0/RELEASE.md) | 2.34.0 | 5.0.0 | 1.15 / 2.7 | 1.5.0 | n/a | 1.5.0
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[1.4.0](https://github.com/tensorflow/data-validation/blob/v1.4.0/RELEASE.md) | 2.32.0 | 4.0.1 | 1.15 / 2.6 | 1.4.0 | n/a | 1.4.0
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[1.3.0](https://github.com/tensorflow/data-validation/blob/v1.3.0/RELEASE.md) | 2.32.0 | 2.0.0 | 1.15 / 2.6 | 1.2.0 | n/a | 1.3.0

RELEASE.md

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## Major Features and Improvements
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## Bug Fixes and Other Changes
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## Known Issues
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## Breaking Changes
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## Deprecations
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# Version 1.6.0
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## Major Features and Improvements
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* Introduces a convenience wrapper for handling indexed access to statistics
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protos.
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* String features are checked for UTF-8 validity, and the number of invalid
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strings is reported as invalid_utf8_count.
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* Depends on `absl-py>=0.9,<2.0.0`.
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* Depends on
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`tensorflow>=1.15.5,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<3`.
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* Depends on `tensorflow-metadata>=1.6.0,<1.7.0`.
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* Depends on `tfx-bsl>=1.6.0,<1.7.0`.
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* Depends on `apache-beam[gcp]>=2.35,<3`.
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## Known Issues
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* N/A
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## Breaking Changes
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* N/A
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## Deprecations
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* N/A
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# Version 1.5.0
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## Major Features and Improvements

g3doc/install.md

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tensorflow-data-validation | apache-beam[gcp] | pyarrow | tensorflow | tensorflow-metadata | tensorflow-transform | tfx-bsl
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------------------------------------------------------------------------------------- | ---------------- | ------- | ----------------- | ------------------- | -------------------- | -------
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[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) | 2.34.0 | 2.0.0 | nightly (1.x/2.x) | 1.5.0 | n/a | 1.5.0
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[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) | 2.35.0 | 5.0.0 | nightly (1.x/2.x) | 1.6.0 | n/a | 1.6.0
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[1.6.0](https://github.com/tensorflow/data-validation/blob/v1.6.0/RELEASE.md) | 2.35.0 | 5.0.0 | 1.15 / 2.7 | 1.6.0 | n/a | 1.6.0
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[1.5.0](https://github.com/tensorflow/data-validation/blob/v1.5.0/RELEASE.md) | 2.34.0 | 2.0.0 | 1.15 / 2.7 | 1.5.0 | n/a | 1.5.0
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[1.4.0](https://github.com/tensorflow/data-validation/blob/v1.4.0/RELEASE.md) | 2.32.0 | 2.0.0 | 1.15 / 2.6 | 1.4.0 | n/a | 1.4.0
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[1.3.0](https://github.com/tensorflow/data-validation/blob/v1.3.0/RELEASE.md) | 2.32.0 | 2.0.0 | 1.15 / 2.6 | 1.2.0 | n/a | 1.3.0

setup.py

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# six, and protobuf) with TF.
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install_requires=[
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'absl-py>=0.9,<2.0.0',
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'apache-beam[gcp]>=2.34,<3',
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'apache-beam[gcp]>=2.35,<3',
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# TODO(b/139941423): Consider using multi-processing provided by
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# Beam's DirectRunner.
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'joblib>=0.12,<0.15', # Dependency for multi-processing.
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'six>=1.12,<2',
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'tensorflow>=1.15.5,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,<3',
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'tensorflow-metadata' + select_constraint(
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default='>=1.5.0,<1.6.0',
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nightly='>=1.6.0.dev',
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default='>=1.6.0,<1.7',
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nightly='>=1.7.0.dev',
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git_master='@git+https://github.com/tensorflow/metadata@master'),
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'tfx-bsl' + select_constraint(
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default='>=1.5.0,<1.6.0',
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nightly='>=1.6.0.dev',
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default='>=1.6.0,<1.7',
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nightly='>=1.7.0.dev',
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git_master='@git+https://github.com/tensorflow/tfx-bsl@master'),
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],
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extras_require={

tensorflow_data_validation/version.py

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"""Contains the version string of TFDV."""
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# Note that setup.py uses this version.
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__version__ = '1.6.0.dev'
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__version__ = '1.7.0.dev'

tensorflow_data_validation/workspace.bzl

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# Fetch tf.Metadata repo from GitHub.
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git_repository(
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name = "com_github_tensorflow_metadata",
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commit = "4c148dfddb289714137ab35204ecca4465b24657",
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commit = "495416f513f53257293a262c36e992e5d25f3d92",
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remote = "https://github.com/tensorflow/metadata.git",
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)
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# LINT.ThenChange(//third_party/py/tensorflow_data_validation/google/copy.bara.sky)

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