byte[] dst = new byte[256];
        int bytesWritten = packet.writeTrailerWireFormat(dst, 0);

        assertTrue(bytesWritten > 0);
        // Each name should write at least 34 bytes (encoded name + scope)
        assertTrue(bytesWritten >= 68);
    }

    @Test
    @DisplayName("writeTrailerWireFormat with scope should handle scoped names")

        }

        return model;
    }

    /**
     * Interpolates all expressions in the src parameter.
     * <p>
     * The algorithm used for each expression is:
     * <ul>
     *   <li>If it starts with either "pom." or "project.", the expression is evaluated against the model.</li>
     *   <li>If the value is null, get the value from the context.</li>

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()}
			}

 * 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);
    }

        LogStream.setInstance(stream1);
        LogStream instance1 = LogStream.getInstance();

        LogStream.setInstance(stream2);
        LogStream instance2 = LogStream.getInstance();

        // Each setInstance should create a new LogStream
        assertNotNull(instance1);
        assertNotNull(instance2);
        // The second setInstance replaces the first, so they should not be the same

            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>

 */
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
  }

  /**