EOF

  # Get the full list of files and targets which get included into the pip
  # package
  bazel cquery --keep_going 'deps(//tensorflow/tools/pip_package:wheel)' | sort -u > $BATS_TEST_TMPDIR/pip_deps
  # Find all Python py_test targets not tagged "no_pip" or "manual", excluding
  # any targets in ignored packages. Combine this list of targets into a bazel
  # query list (e.g. the list becomes "target+target2+target3")

    public FesenClient() {
        address = System.getProperty(HTTP_ADDRESS, "localhost:9200").trim();
        final String targets = System.getProperty(TARGET_INDICES);
        if (StringUtil.isNotBlank(targets)) {
            targetIndices = Arrays.stream(targets.split(",")).map(String::trim).toArray(n -> new String[n]);
        }
    }

    public void setAddress(final String address) {

}

// VersionPurgeStatus returns overall version purge status for this object version across targets
func (fi *FileInfo) VersionPurgeStatus() VersionPurgeStatusType {
	return fi.ReplicationState.CompositeVersionPurgeStatus()
}

// ReplicationStatus returns overall version replication status for this object version across targets
func (fi *FileInfo) ReplicationStatus() replication.StatusType {

# START MACOS CROSS-COMPILE CONFIGS
build:cross_compile_macos_x86 --config=cross_compile_base
build:cross_compile_macos_x86 --config=nonccl
# Target Catalina (10.15) as the minimum supported OS
build:cross_compile_macos_x86 --action_env  MACOSX_DEPLOYMENT_TARGET=10.15

# Set the target CPU to Darwin x86
build:cross_compile_macos_x86 --platforms=//tensorflow/tools/toolchains/cross_compile/config:darwin_x86_64

    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        ":c_api_internal",
    ],
)

# -----------------------------------------------------------------------------
# Public targets

filegroup(
    name = "headers",
    srcs = [
        "c_api.h",
        "c_api_experimental.h",
        "c_api_macros.h",
        "tensor_interface.h",
        "tf_attrtype.h",
        "tf_buffer.h",

   * recursively}. Does not delete the directory itself. Deletes symbolic links, not their targets
   * (subject to the caveat below). If {@code path} itself is a symbolic link to a directory, that
   * link is followed and the contents of the directory it targets are deleted.
   *
   * <p>If an I/O exception occurs attempting to read, open or delete any file under the given

   * recursively}. Does not delete the directory itself. Deletes symbolic links, not their targets
   * (subject to the caveat below). If {@code path} itself is a symbolic link to a directory, that
   * link is followed and the contents of the directory it targets are deleted.
   *
   * <p>If an I/O exception occurs attempting to read, open or delete any file under the given

}

func auditTierActions(ctx context.Context, tier string, bytes int64) func(err error) {
	startTime := time.Now()
	return func(err error) {
		// Record only when audit targets configured.
		if len(logger.AuditTargets()) == 0 {
			return
		}

		op := auditTierOp{
			Tier:        tier,
			OutputBytes: bytes,
		}

		if err == nil {
			since := time.Since(startTime)

			continue
		}
		// Get port number
		nport, err := pilotcontroller.FindPort(pod, &port)
		if err == nil {
			protocol := findProtocolForPort(&port)
			fmt.Fprintf(writer, "   Port: %s %d/%s targets pod port %d\n", port.Name, port.Port, protocol, nport)
		} else {
			fmt.Fprintf(writer, "   %s\n", err.Error())
		}
	}
}

func findProtocolForPort(port *corev1.ServicePort) string {
	var protocol string

### Major Features and Improvements

*   Add `is_cpu_target_available`, which indicates whether or not TensorFlow was built with support for a given CPU target. This can be useful for skipping target-specific tests if a target is not supported.

*   `tf.data`