//	------------------+--------+-----------+----------
//	Name              |   256B | unlimited | unlimited
//	Linkname          |   100B | unlimited | unlimited
//	Size              | uint33 | unlimited |    uint89
//	Mode              | uint21 |    uint21 |    uint57
//	Uid/Gid           | uint21 | unlimited |    uint57
//	Uname/Gname       |    32B | unlimited |       32B
//	ModTime           | uint33 | unlimited |     int89

    echo "GCE_METADATA_HOST=$IP_ADDR" > $env_file
  fi

  docker run $TFCI_DOCKER_ARGS --name tf -w "$WORKING_DIR" -itd --rm \
      -v "$TFCI_GIT_DIR:$WORKING_DIR" \
      --env-file "$env_file" \
      "$TFCI_DOCKER_IMAGE" \
    bash

  if [[ `uname -s | grep -P '^MSYS_NT'` ]]; then
    # Allow requests from the container.
    # Additional setup is contained in ci/official/envs/rbe.

	default:
		return nil, nil // Not a PAX format GNU sparse file.
	}
	hdr.Format.mayOnlyBe(FormatPAX)

	// Update hdr from GNU sparse PAX headers.
	if name := hdr.PAXRecords[paxGNUSparseName]; name != "" {
		hdr.Name = name
	}
	size := hdr.PAXRecords[paxGNUSparseSize]
	if size == "" {
		size = hdr.PAXRecords[paxGNUSparseRealSize]
	}
	if size != "" {
		n, err := strconv.ParseInt(size, 10, 64)

		}
		for _, gw := range waypoints.Items {
			names = append(names, gw.Name)
		}
	}

	var wg sync.WaitGroup
	var mu sync.Mutex
	for _, name := range names {
		wg.Add(1)
		go func(name string) {
			defer wg.Done()
			if err := kubeClient.GatewayAPI().GatewayV1().Gateways(namespace).
				Delete(context.Background(), name, metav1.DeleteOptions{}); err != nil {
				if kerrors.IsNotFound(err) {

            if ("field".equals(qName)) {
                fieldName = attributes.getValue("name");
                if (StringUtil.isBlank(fieldName)) {
                    fieldName = null;
                }
                buffer.setLength(0);
            } else if ("list".equals(qName)) {

  )

# Add Keras module aliases
_losses = _KerasLazyLoader(globals(), submodule="losses", name="losses")
_metrics = _KerasLazyLoader(globals(), submodule="metrics", name="metrics")
_optimizers = _KerasLazyLoader(
    globals(), submodule="optimizers", name="optimizers")
_initializers = _KerasLazyLoader(
    globals(), submodule="initializers", name="initializers")
setattr(_current_module, "losses", _losses)

# probably for the better. If a pipe is necessary for something, it is probably
# complex. Write a well-documented script under utilities/ to encapsulate the
# functionality instead.
tfrun() { "$@"; }

if [[ `uname -s | grep -P '^MSYS_NT'` ]]; then
  source ./ci/official/utilities/windows.sh
  echo 'Converting MSYS Linux-like paths to Windows paths (for Docker, Python, etc.)'

## Your Environment
<!--- Include as many relevant details about the environment you experienced the bug in -->
* Version used (`minio --version`):
* Server setup and configuration:

fi

tfrun bazel build $TFCI_BAZEL_COMMON_ARGS --config=cuda_wheel //tensorflow/tools/pip_package:wheel $TFCI_BUILD_PIP_PACKAGE_ARGS
tfrun find ./bazel-bin/tensorflow/tools/pip_package -iname "*.whl" -exec cp {} $TFCI_OUTPUT_DIR \;
tfrun mkdir ./dist
tfrun cp $TFCI_OUTPUT_DIR/*.whl ./dist
tfrun ./ci/official/utilities/rename_and_verify_wheels.sh

if [[ "$TFCI_ARTIFACT_STAGING_GCS_ENABLE" == 1 ]]; then

if "getsitepackages" in dir(_site):
  _site_packages_dirs += _site.getsitepackages()

for _scheme in sysconfig.get_scheme_names():
  for _name in ["purelib", "platlib"]:
    _site_packages_dirs += [sysconfig.get_path(_name, _scheme)]

_site_packages_dirs = list(set(_site_packages_dirs))

# Find the location of this exact file.
_current_file_location = _inspect.getfile(_inspect.currentframe())