# ==============================================================================
TFCI_INSTALLER_WHL_ENABLE=1
TFCI_INSTALLER_WHL_PROJECT_NAME="tensorflow"
TFCI_INSTALLER_WHL_NIGHTLY_PROJECT_NAME="tf_nightly"
# Supported wheel tags are stored as strings in TFCI_INSTALLER_WHL_TAGS
# separated by spaces.
TFCI_INSTALLER_WHL_TAGS="cp39-cp39-win_amd64 cp310-cp310-win_amd64 cp311-cp311-win_amd64 cp312-cp312-win_amd64"

# at the scripts of ci/official/ to see how TF's CI uses them.

# PYTHON TESTS run a suite of Python tests intended for verifying that the Python wheel
# will work properly. These are usually run Nightly or upon Release.
# CPU WHEEL
test:linux_cpu_wheel_test_filters --test_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py310,-no_oss_py313

TFCI_BAZEL_BAZELRC_ARGS=
TFCI_BAZEL_COMMON_ARGS=
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=
TFCI_BUILD_PIP_PACKAGE_BASE_ARGS=
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG=
# Mostly meant to be used for Windows.
# For Windows, the same wheel is uploaded to both tensorflow_cpu, and tensorflow
TFCI_BUILD_PIP_PACKAGE_ADDITIONAL_WHEEL_NAMES=
TFCI_DOCKER_ARGS=
TFCI_DOCKER_ENABLE=
TFCI_DOCKER_IMAGE=
TFCI_DOCKER_PULL_ENABLE=
TFCI_DOCKER_REBUILD_ARGS=

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ARGS="--gpus all"
TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
# TODO: Set back to 610M once the wheel size is fixed.

bazel_dep(name = "pybind11_bazel", version = "2.13.6")
bazel_dep(name = "pybind11_protobuf", version = "0.0.0-20250210-f02a2b7")

# NOTE: This is a newer version compared to what was used in WORKSPACE
# and it breaks wheel tests.
# TODO: Fix the incompatibility with wheel tests.
bazel_dep(name = "pybind11_abseil", version = "202402.0")
bazel_dep(name = "or-tools", version = "9.12", repo_name = "com_google_ortools")

      with:
        python-version: "3.9"
    - name: Install Python dependencies
      run: |
        python -m pip install --upgrade pip
        pip install pylint==2.13.9 numpy wheel
    - name: Run PyLint on changed files
      run: |

# Download and install patchelf v0.18.0 from GitHub. The default Ubuntu focal
# packages only provide the "0.10-2build1" version. We use patchelf to manipulate
# certain shared libraries during the wheel building process (https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/build_pip_package.sh#L255-L262).
# When we use Patchelf versions <0.12, those shared libraries end up with a

- To be able to reliably use S3 multipart APIs feature of the SDKs without re-inventing the wheel of pre-signing the each URL in multipart API. This is very tedious to implement with all the scenarios of fault tolerance that's already implemented by the client SDK. The general client SDKs don't support multipart with presigned URLs.

# Pyenv version. We enable this for macOS x86 builds as the default Pyenv on
# those VMs does not support installing Python 3.12 and above which we need
# for running smoke tests in nightly/release wheel builds.
if [[ "${TFCI_MACOS_UPGRADE_PYENV_ENABLE}" == 1 ]]; then
  echo "Upgrading pyenv..."
  echo "Current pyevn version: $(pyenv --version)"

  # Check if pyenv is managed by homebrew. If so, update and upgrade pyenv.

			Mode:       0644,
			Uid:        1000,
			Gid:        10,
			Size:       5,
			ModTime:    time.Unix(1386065770, 448252320),
			Typeflag:   '0',
			Uname:      "alex",
			Gname:      "wheel",
			AccessTime: time.Unix(1389782991, 419875220),
			ChangeTime: time.Unix(1389782956, 794414986),
			Xattrs: map[string]string{
				"user.key":  "value",
				"user.key2": "value2",