### Specifying Python version

The hermetic Python version is controlled by `HERMETIC_PYTHON_VERSION`
environment variable, which could be setin one of the following ways:

```
# Either add an entry to your `.bazelrc` file
build --repo_env=HERMETIC_PYTHON_VERSION=3.12

# OR pass it directly to your specific build command
bazel build <target> --repo_env=HERMETIC_PYTHON_VERSION=3.12

# OR set the environment variable globally in your shell:

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
TFCI_BAZEL_COMMON_ARGS="--repo_env=HERMETIC_PYTHON_VERSION=$TFCI_PYTHON_VERSION --repo_env=USE_PYWRAP_RULES=True --config release_cpu_linux"
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow_cpu"

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
TFCI_BAZEL_COMMON_ARGS="--repo_env=HERMETIC_PYTHON_VERSION=$TFCI_PYTHON_VERSION --repo_env=USE_PYWRAP_RULES=True --config release_arm64_linux"
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64
# Note: this is not set to "--cpu", because that changes the package name

# limitations under the License.
# ==============================================================================
source ci/official/envs/linux_x86
TFCI_BAZEL_COMMON_ARGS="--repo_env=HERMETIC_PYTHON_VERSION=$TFCI_PYTHON_VERSION --repo_env=USE_PYWRAP_RULES=True --config release_gpu_linux"
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"

# limitations under the License.
# ==============================================================================
source ci/official/envs/linux_arm64
TFCI_BAZEL_COMMON_ARGS="--repo_env=HERMETIC_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config cross_compile_linux_arm64 --repo_env=USE_PYWRAP_RULES=True"

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
TFCI_BAZEL_COMMON_ARGS="--repo_env=HERMETIC_PYTHON_VERSION=$TFCI_PYTHON_VERSION --repo_env=USE_PYWRAP_RULES=True --config release_macos_arm64"
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=macos_arm64
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"

TFCI_BAZEL_BAZELRC_ARGS="--output_user_root=C:/x"
TFCI_BAZEL_COMMON_ARGS="--repo_env=HERMETIC_PYTHON_VERSION=$TFCI_PYTHON_VERSION --repo_env=USE_PYWRAP_RULES=True --config=windows_x86_cpu_2022"

# For RBE, we explicitly set invalid paths to force the auto-configuration to fail.
TFCI_BAZEL_VC="C:/RBE_ISOLATED_INVALID_PATH"

TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_IMAGE="gcr.io/tensorflow-testing/tf-win2022@sha256:915cb093630432c38b028f56bd31116a5559ebbc688d427b6092d86828ae03bc"
TFCI_BAZEL_BAZELRC_ARGS="--output_user_root=C:/x"
TFCI_BAZEL_COMMON_ARGS="--repo_env=HERMETIC_PYTHON_VERSION=$TFCI_PYTHON_VERSION --repo_env=USE_PYWRAP_RULES=True --config=windows_x86_cpu_2022"
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=windows_x86_cpu_2022
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"

TFCI_BAZEL_BAZELRC_ARGS="--output_user_root=C:/x"
TFCI_BAZEL_COMMON_ARGS="--repo_env=HERMETIC_PYTHON_VERSION=$TFCI_PYTHON_VERSION --repo_env=USE_PYWRAP_RULES=True --config=windows_x86_cpu_2022"

# For RBE, we explicitly set invalid paths to force the auto-configuration to fail.
TFCI_BAZEL_VC="C:/RBE_ISOLATED_INVALID_PATH"

if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python3 tensorflow/tools/ci_build/update_version.py --nightly
fi

# This generates a pure python wheel of the format "*-py3-none-any.whl"
bazel run --HERMETIC_PYTHON_VERSION=3.13 //tensorflow/tools/pip_package:setup_py_binary -- bdist_wheel --dist-dir "$TFCI_OUTPUT_DIR"

# Get the name of the pure python wheel that was built. This should
# resolve to either