#    To use:
#       export TFCI=ci/official/envs/env_goes_here
#       export TF_ANY_SCRIPT=ci/official/wheel.sh
#       ./any.sh
#
# 3. DO THE SAME WITH A LOCAL CACHE OR RBE:
#       export TF_ANY_EXTRA_ENV=ci/official/envs/public_cache,ci/official/envs/disk_cache
#       ...
#       ./any.sh
#     or
#       export TF_ANY_EXTRA_ENV=ci/official/envs/local_rbe
#       ./any.sh
#       ...

# - bats: bash unit testing framework
# - bazelisk: always use the correct bazel version
# - buildifier: clean bazel build deps
# - buildozer: clean bazel build deps
# - gcloud SDK: communicate with Google Cloud Platform (GCP) for RBE, CI
# - patchelf: Utility tool to modify existing ELF executables and libraries
RUN git clone --branch v1.13.0 https://github.com/bats-core/bats-core.git && bats-core/install.sh /usr/local && rm -rf bats-core

      --env-file "$env_file" \
      "$TFCI_DOCKER_IMAGE" \
    bash

  if [[ "$is_windows" == true ]]; then
    # Allow requests from the container.
    # Additional setup is contained in ci/official/envs/rbe.
    CONTAINER_IP_ADDR=$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' tf)

use_repo(python_version_ext, "python_version_repo")

git_configure = use_repo_rule("//third_party/git:git_configure.bzl", "git_configure")

git_configure(name = "local_config_git")

### RBE
rbe_config = use_extension("@xla//third_party/extensions:rbe_config.bzl", "rbe_config_ext")
use_repo(rbe_config, "ml_build_config_platform")

register_execution_platforms("@local_config_platform//:host")

# install it manually. We use Twine in nightly builds to upload Python packages
# to PyPI.
if [[ "$TFCI_MACOS_TWINE_INSTALL_ENABLE" == 1 ]]; then
  pip install twine==3.6.0
fi

# When cross-compiling with RBE, we need to copy the macOS sysroot to be
# inside the TensorFlow root directory. We then define them as a filegroup
# target inside "tensorflow/tools/toolchains/cross_compile/cc" so that Bazel

    if not result_store_line_match:
      continue

    url = result_store_line_match.group(1)
    url_lines = result_store_links.setdefault(url, {})
    # Each bazel RBE invocation should produce two
    # 'Streaming build results to: ...' lines, one at the start, and one at the
    # end of the invocation.
    # If there's a failure message, it will be found in-between these two.