And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.

And it will be annotated / documented accordingly too.

## Nested Models { #nested-models }

Each attribute of a Pydantic model has a type.

But that type can itself be another Pydantic model.

So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations.

			failOnErr(err)
			encoded, err := e.EncodeData(GlobalContext, testData[:])
			failOnErr(err)
			hash := xxhash.New()
			for i, data := range encoded {
				// Write index to keep track of sizes of each.
				_, err = hash.Write([]byte{byte(i)})
				failOnErr(err)
				_, err = hash.Write(data)
				failOnErr(err)
				got[conf] = map[ErasureAlgo]uint64{algo: hash.Sum64()}
			}

 */
package org.codelibs.curl;

import java.io.File;

/**
 * The Curl class provides a simple interface for creating HTTP requests using various HTTP methods.
 * It includes static methods for each HTTP method that return a CurlRequest object.
 *
 * <p>Example usage:</p>
 * <pre>
 * CurlRequest request = Curl.get("http://example.com");
 * </pre>
 *
 * <p>Supported HTTP methods:</p>
 * <ul>

    checkHelperVersion(getClass().getClassLoader(), "SafeAtomicHelper");
    checkHelperVersion(NO_ATOMIC_FIELD_UPDATER, "SynchronizedAtomicHelper");

    // Then, run the actual tests under each alternative classloader:

    runTestMethod(NO_ATOMIC_FIELD_UPDATER);
    // TODO(lukes): assert that the logs are full of errors
  }

  /**

    /**
     * This specialized method returns a Map of users and local groups for the
     * target server where keys are SIDs representing an account and each value
     * is an ArrayList of SIDs represents the local groups that the account is
     * a member of.
     *
     * This method is designed to assist with computing access control for a

            Each source is specified by a {@code directory} element, which is relative to the POM.
            The kind of sources (source files to compile or resources to copy) and their usage (for the main code
            or for the tests) is specified by the {@code scope} element together with each source directory.
          </description>
          <association>

         * the JDK against TypeVariables returned by TypeResolver. To work with all JDK versions,
         * TypeResolver must return the appropriate TypeVariable implementation in each of the three
         * possible cases:
         *
         * 1. Under Android, the built-in TypeVariable implementation interoperates with ours.
         * Therefore, we can always create our own TypeVariable.
         *

  // (as in the case of ConstOp kernel creation on GPU, which involves copying a
  // CPU tensor to GPU).
  // Setting a larger thread pool does not help with the Swift caller, as we use
  // a different TFE context for each thread of execution (for running graph
  // functions, and their send/recvs corountines).
  config.set_inter_op_parallelism_threads(1);

  TF_Buffer* ret = TF_NewBuffer();
  TF_CHECK_OK(MessageToBuffer(config, ret));

 * available online).
 * <p>
 * Direct ACEs are evaluated first in order. The SID of the user performing
 * the operation and the desired access bits are compared to the SID
 * and access mask of each ACE. If the SID matches, the allow/deny flags
 * and access mask are considered. If the ACE is a "deny"
 * ACE and <i>any</i> of the desired access bits match bits in the access

    private ArgumentCaptor<MsrpcSamrCloseHandle> closeHandleCaptor;

    @BeforeEach
    void setUp() {
        // Initialize mocks and captors before each test
        MockitoAnnotations.openMocks(this);
        openDomainCaptor = ArgumentCaptor.forClass(MsrpcSamrOpenDomain.class);
        closeHandleCaptor = ArgumentCaptor.forClass(MsrpcSamrCloseHandle.class);
    }