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  1. CONTRIBUTING.md

    your changes by running the command:
    
    ```bash
    tensorflow/tools/ci_build/ci_build.sh CPU tensorflow/tools/ci_build/ci_sanity.sh
    ```
    
    This will catch most license, Python coding style and BUILD file issues that
    may exist in your changes.
    
    #### Running unit tests
    
    There are two ways to run TensorFlow unit tests.
    
    1.  Using tools and libraries installed directly on your system.
    
        Refer to the
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  2. WORKSPACE

    # buildifier: disable=load-on-top
    
    workspace(name = "org_tensorflow")
    
    # buildifier: disable=load-on-top
    
    # We must initialize hermetic python first.
    load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
    
    http_archive(
        name = "bazel_skylib",
        sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506",
        urls = [
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  3. .gitignore

    /xla_configure.bazelrc
    /bazel-*
    /bazel_pip
    /tools/python_bin_path.sh
    /tensorflow/tools/git/gen
    /pip_test
    /_python_build
    *.pyc
    __pycache__
    *.swp
    .vscode/
    cmake_build/
    tensorflow/contrib/cmake/_build/
    .idea/**
    /build/
    [Bb]uild/
    /build_output/
    /tensorflow/core/util/version_info.cc
    /tensorflow/python/framework/fast_tensor_util.cpp
    /tensorflow/lite/gen/**
    /tensorflow/lite/tools/make/downloads/**
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  4. ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc

    # For building libtensorflow archives
    test:libtensorflow_test -- //tensorflow/tools/lib_package:libtensorflow_test //tensorflow/tools/lib_package:libtensorflow_java_test
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  5. .github/workflows/sigbuild-docker-presubmit.yml

    on:
      pull_request:
        types: [labeled, opened, synchronize, reopened]
        paths:
          - '.github/workflows/sigbuild-docker-presubmit.yml'
          - 'tensorflow/tools/tf_sig_build_dockerfiles/**'
          - '!tensorflow/tools/tf_sig_build_dockerfiles/README.md'
    
    permissions:
      contents: read
    
    jobs:
      docker:
        if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    Others
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  6. .pylintrc

    tensorflow/tools/ci_build/pylintrc...
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  7. ci/official/wheel.sh

      tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly
      # replace tensorflow to tf_nightly in the wheel name
      export TFCI_BUILD_PIP_PACKAGE_ARGS="$(echo $TFCI_BUILD_PIP_PACKAGE_ARGS | sed 's/tensorflow/tf_nightly/')"
    fi
    
    tfrun bazel build $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/pip_package:wheel $TFCI_BUILD_PIP_PACKAGE_ARGS
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  8. ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats

      LICENSES_TARGET="$2"
    
      # grep patterns for targets which are allowed to be missing from the licenses
      cat > $BATS_TEST_TMPDIR/allowed_to_be_missing <<EOF
    @absl_py//absl
    @bazel_tools//platforms
    @bazel_tools//third_party/
    @bazel_tools//tools
    @local
    @com_google_absl//absl
    @org_tensorflow//
    @com_github_googlecloudplatform_google_cloud_cpp//google
    @com_github_grpc_grpc//src/compiler
    @platforms//os
    @ruy//
    EOF
    
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  9. ci/official/containers/linux_arm64/devel.usertools/repack_libtensorflow.sh

      popd
      cp "${tmp_dir}/new.jar" "${dest_jar}"
      rm -rf "${tmp_dir}"
    }
    DIR=$1
    TARBALL_SUFFIX=$2
    mkdir -p "$DIR"
    cp bazel-bin/tensorflow/tools/lib_package/libtensorflow.tar.gz "${DIR}/libtensorflow${TARBALL_SUFFIX}.tar.gz"
    cp bazel-bin/tensorflow/tools/lib_package/libtensorflow_jni.tar.gz "${DIR}/libtensorflow_jni${TARBALL_SUFFIX}.tar.gz"
    cp bazel-bin/tensorflow/java/libtensorflow.jar "${DIR}"
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  10. CODEOWNERS

    /tensorflow/core/kernels/sparse/ @penpornk
    /tensorflow/core/nccl/ @azaks2 @chsigg
    /tensorflow/python/autograph/ @mdanatg
    /tensorflow/python/debug @caisq
    /tensorflow/python/eager @rohan100jain
    /tensorflow/tools/docs/ @markdaoust
    /tensorflow/compiler/mlir/ @aminim
    /tensorflow/core/ir/ @aminim
    /tensorflow/core/transforms/ @aminim
    
    
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