return {};
  }
  const auto& fdef_lib = gdef.library();
  if (fdef_lib.gradient_size() > 0) {
    status->status = tensorflow::errors::Internal(
        "GradientDef is not supported in reading Dataset related functions: ",
        text_proto);
    return {};
  }
  std::vector<UniqueFuncPtr> ret;
  for (const FunctionDef& fdef : fdef_lib.function()) {
    // Make a copy so that we can mutate it.

        setupCountField.setAccessible(true);
        assertEquals(128, setupCountField.get(response));
    }

    @Test
    @DisplayName("Test reading from different buffer positions")
    void testReadFromDifferentPositions() throws Exception {
        byte[] buffer = new byte[200];

        // Test at various positions in the buffer

        private final int maxLineBuffer;

        /**
         * Constructs a new InputStreamThread.
         * @param is The InputStream to read from.
         * @param charset The charset to use for reading.
         * @param maxOutputLineBuffer The maximum number of lines to buffer.
         */
        public InputStreamThread(final InputStream is, final String charset, final int maxOutputLineBuffer) {
            try {

	if !opts.NoAuditLog {
		auditObjectErasureSet(ctx, "GetObjectInfo", object, &er)
	}

	if !opts.NoLock {
		// Lock the object before reading.
		lk := er.NewNSLock(bucket, object)
		lkctx, err := lk.GetRLock(ctx, globalOperationTimeout)
		if err != nil {
			return ObjectInfo{}, err
		}
		ctx = lkctx.Context()
		defer lk.RUnlock(lkctx)
	}

/**
 * Manages a dictionary file for synonyms.
 * This class handles reading, parsing, and updating files that contain
 * synonym rules. The file format supports both explicit mappings (e.g., `a => b`)
 * and equivalent synonyms (e.g., `a, b, c`).
 *
 * The class provides methods for retrieving, adding, updating, and
 * deleting synonym items, as well as reloading the dictionary
 * from its source file.
 */

  }

  /**
   * Read 100 MiB of 'a' chars. This was really slow due to a performance bug in [MultipartReader],
   * and will be really slow if we regress the fix for that.
   */
  @Test
  fun `reading a large part with small byteCount`() {
    val multipartBody =
      MultipartBody
        .Builder("foo")
        .addPart(
          headersOf("header-name", "header-value"),
          object : RequestBody() {

import java.text.ParseException
import java.text.SimpleDateFormat
import java.util.Date
import java.util.TimeZone
import kotlin.reflect.KClass
import okio.ByteString

/**
 * Built-in adapters for reading standard ASN.1 types.
 */
internal object Adapters {
  val BOOLEAN =
    BasicDerAdapter(
      name = "BOOLEAN",
      tagClass = DerHeader.TAG_CLASS_UNIVERSAL,
      tag = 1L,
      codec =

	// Object operations.

	// GetObjectNInfo returns a GetObjectReader that satisfies the
	// ReadCloser interface. The Close method runs any cleanup
	// functions, so it must always be called after reading till EOF
	//
	// IMPORTANTLY, when implementations return err != nil, this
	// function MUST NOT return a non-nil ReadCloser.

 * OkHttp performs best when you create a single `OkHttpClient` instance and reuse it for all of
 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *
 * ```java

        collectValueFromNonCancelledFuture(index, future);
      }
    } finally {
      /*
       * "null" means: There is no need to access `futures` again during
       * `processCompleted` because we're reading each value during a call to
       * handleOneInputDone.
       */
      decrementCountAndMaybeComplete(null);
    }
  }

  /**