}

@test "Pip package generated license includes all dependencies' licenses" {
  do_external_licenses_check \
    "//tensorflow/tools/pip_package:build_pip_package" \
    "//tensorflow/tools/pip_package:licenses"
}

@test "Libtensorflow generated license includes all dependencies' licenses" {
  do_external_licenses_check \

        generator.generateFresh(new TypeToken<com.google.common.base.Optional<String>>() {}));
    // Test that the first generated instance for different cgcb.Optional<T> is always absent().
    // Having generated cgcb.Optional<String> instances doesn't prevent absent() from being
    // generated for other cgcb.Optional types.
    assertEquals(
        com.google.common.base.Optional.absent(),
        generator.generateFresh(

import org.junit.jupiter.api.Test;

import static org.junit.jupiter.api.Assertions.assertEquals;

/**
 * Verifies that subclasses from generated model classes are possible.
 */
class ExtendedPluginDescriptorTest {

    /**
     * A subclass of the generated class {@link PluginDescriptor} that adds an additional field.
     */
    public static class ExtendedPluginDescriptor extends PluginDescriptor {

		return nil
	}
	return s.err
}

// Bytes returns the most recent token generated by a call to [Scanner.Scan].
// The underlying array may point to data that will be overwritten
// by a subsequent call to Scan. It does no allocation.
func (s *Scanner) Bytes() []byte {
	return s.token
}

// Text returns the most recent token generated by a call to [Scanner.Scan]
// as a newly allocated string holding its bytes.

When developing an entirely new class (task, extension, domain object, etc), the API should consist of managed lazy properties.

Preferably, these new classes should be 100% managed and have their implementation generated by Gradle at runtime.

It's acceptable for implementation classes to be written to fit into existing code, but new classes must not instantiate managed properties or implement getters manually.

This is preferred:

        * In responses, the `set` will be converted to a `list`.
        * The generated schema will specify that the `set` values are unique (using JSON Schema's `uniqueItems`).
* `bytes`:
    * Standard Python `bytes`.
    * In requests and responses will be treated as `str`.
    * The generated schema will specify that it's a `str` with `binary` "format".
* `Decimal`:
    * Standard Python `Decimal`.

   *
   * <p>No guarantees are made about the behavior of the traversal when nodes change while iteration
   * is in progress or when the iterators generated by {@link #children} are advanced.
   *
   * @deprecated Use {@link com.google.common.graph.Traverser#depthFirstPreOrder} instead, which has
   *     the same behavior.
   */
  @Deprecated

	flag.StringVar(&ldapUsername, "u", "", "AD/LDAP Username")
	flag.StringVar(&ldapPassword, "p", "", "AD/LDAP Password")
	flag.BoolVar(&displayCreds, "d", false, "Only show generated credentials")
	flag.DurationVar(&expiryDuration, "e", 0, "Request a duration of validity for the generated credential")
	flag.StringVar(&bucketToList, "b", "", "Bucket to list (defaults to ldap username)")

///

## Add extra information

You can declare extra information in `Field`, `Query`, `Body`, etc. And it will be included in the generated JSON Schema.

You will learn more about adding extra information later in the docs, when learning to declare examples.

/// warning

	}

	// ExecObjectLayerAPIAnonTest - Calls the HTTP API handler using the anonymous request, validates the ErrAccessDeniedResponse,
	// sets the bucket policy using the policy statement generated from `getWriteOnlyObjectStatement` so that the
	// unsigned request goes through and its validated again.