* Contrast the method above to:
 *
 * <ul>
 *   <li>methods whose return type is a type variable but which can never return {@code null},
 *       typically because the type forbids nullable type arguments: For example, {@code
 *       ImmutableList.get} returns {@code E}, but that value is never {@code null}. (Accordingly,
 *       {@code ImmutableList} is declared to forbid {@code ImmutableList<@Nullable String>}.)

 * Contrast the method above to:
 *
 * <ul>
 *   <li>methods whose return type is a type variable but which can never return {@code null},
 *       typically because the type forbids nullable type arguments: For example, {@code
 *       ImmutableList.get} returns {@code E}, but that value is never {@code null}. (Accordingly,
 *       {@code ImmutableList} is declared to forbid {@code ImmutableList<@Nullable String>}.)

You can read more at the end of this page.

///

## `Field` additional arguments { #field-additional-arguments }

When using `Field()` with Pydantic models, you can also declare additional `examples`:

{* ../../docs_src/schema_extra_example/tutorial002_py310.py hl[2,8:11] *}

  multiple drives into a single large system, pass one directory per
  filesystem separated by space. You may also use a '...' convention
  to abbreviate the directory arguments. Remote directories in a
  distributed setup are encoded as HTTP(s) URIs.
{{if .VisibleFlags}}
FLAGS:
  {{range .VisibleFlags}}{{.}}
  {{end}}{{end}}
EXAMPLES:

  abstract int sign(X x);

  /** Returns d's value as an X, rounded with the specified mode. */
  abstract X toX(double d, RoundingMode mode);

  /** Returns a - b, guaranteed that both arguments are nonnegative. */
  abstract X minus(X a, X b);

  /** Rounds {@code x} to a {@code double}. */
  final double roundToDouble(X x, RoundingMode mode) {
    checkNotNull(x, "x");
    checkNotNull(mode, "mode");

    TF_ShapeAndTypeList* shape_list);
TF_CAPI_EXPORT extern void TF_DeleteShapeAndTypeListArray(
    TF_ShapeAndTypeList** shape_list_array, int num_items);

// Infer shapes for the given `op`. The arguments mimic the arguments of the
// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is

# limitations under the License.
# ==============================================================================
#
# Usage: rename_and_verify_wheels.sh
# This script is aware of TFCI_ variables, so it doesn't need any arguments.
# Puts new wheel through auditwheel to rename and verify it, deletes the old
# one, checks the filesize, and then ensures the new wheel is installable.
set -exo pipefail

cd "$TFCI_OUTPUT_DIR"

[mc](http://github.com/minio/mc) provides 'mc batch' command to create, start and manage submitted jobs.

```
NAME:
  mc batch - manage batch jobs

USAGE:
  mc batch COMMAND [COMMAND FLAGS | -h] [ARGUMENTS...]

COMMANDS:
  generate  generate a new batch job definition
  start     start a new batch job
  list, ls  list all current batch jobs
  status    summarize job events on MinIO server in real-time

        }
    }

    @Override
    public final Options interpolate(UnaryOperator<String> callback) {
        try {
            // now that we have properties, interpolate all arguments
            Interpolator interpolator = createInterpolator();
            CommandLine.Builder commandLineBuilder = CommandLine.builder();
            commandLineBuilder.setDeprecatedHandler(o -> {});

                .location("version", DefaultLifecycleRegistry.DEFAULT_LIFECYCLE_INPUT_LOCATION)
                .build();
    }

    /** Indicates the phase is after the phases given in arguments */
    static Lifecycle.Link after(String phase) {
        return new Lifecycle.Link() {
            @Override
            public Kind kind() {
                return Kind.AFTER;
            }