*/
package okhttp3

import okio.IOException
import okio.Timeout

/**
 * A call is a request that has been prepared for execution. A call can be canceled. As this object
 * represents a single request/response pair (stream), it cannot be executed twice.
 */
interface Call : Cloneable {
  /** Returns the original request that initiated this call. */
  fun request(): Request

  /**

    // Differing valid surrogate pairs.
    assertEquals("abc", Strings.commonPrefix("abc\uD8AB\uDCABdef", "abc\uD8AB\uDCACxyz"));
    // One invalid pair.
    assertEquals("abc", Strings.commonPrefix("abc\uD8AB\uDCABdef", "abc\uD8AB\uD8ABxyz"));
    // Two identical invalid pairs.
    assertEquals(

   *
   * <p>Unlike {@link Character#codePointAt(CharSequence, int)} or {@link String#codePointAt(int)}
   * this method will never fail silently when encountering an invalid surrogate pair.
   *
   * <p>The behaviour of this method is as follows:
   *
   * <ol>
   *   <li>If {@code index >= end}, {@link IndexOutOfBoundsException} is thrown.

	export      = flag.Bool("export", false, "export xl.meta")
	djson       = flag.Bool("djson", false, "expect djson format for xl.meta")
	genkey      = flag.Bool("genkey", false, "generate key pair")
)

func main() {
	flag.Parse()

	if *genkey {
		generateKeys()
		os.Exit(0)
	}
	var privateKey []byte
	if *keyHex == "" {
		if b, err := os.ReadFile(*privKeyPath); err == nil {

      if (!status.ok()) out_tensor->reset();
    }
  }
  if (!status.ok()) {
    tsl::Set_TF_Status_from_Status(out_status, status);
  }
}

std::pair<std::unique_ptr<TensorSliceReader::VarToShapeMap>,
          std::unique_ptr<TensorSliceReader::VarToDataTypeMap>>
CheckpointReader::BuildV2VarMaps() {
  CHECK(v2_reader_ != nullptr);
  CHECK(v2_reader_->status().ok());

  if (ret) ret = attr_value->ParseFromArray(buffer->data, buffer->length);
  TF_DeleteBuffer(buffer);
  return ret;
}

std::vector<std::pair<string, string>> GetGradDefs(
    const tensorflow::GraphDef& graph_def) {
  std::vector<std::pair<string, string>> grads;
  for (const tensorflow::GradientDef& grad : graph_def.library().gradient()) {
    grads.emplace_back(grad.function_name(), grad.gradient_func());
  }

  private static <N, V> Map<EndpointPair<N>, V> edgeValueMap(final ValueGraph<N, V> graph) {
    return Maps.asMap(
        graph.edges(),
        edge ->
            // requireNonNull is safe because the endpoint pair comes from the graph.
            requireNonNull(graph.edgeValueOrDefault(edge.nodeU(), edge.nodeV(), null)));
  }

/**
 * A {@code SetMultimap} whose set of values for a given key are kept sorted; that is, they comprise
 * a {@link SortedSet}. It cannot hold duplicate key-value pairs; adding a key-value pair that's
 * already in the multimap has no effect. This interface does not specify the ordering of the
 * multimap's keys. See the {@link Multimap} documentation for information common to all multimaps.
 *

  private static <N, V> Map<EndpointPair<N>, V> edgeValueMap(final ValueGraph<N, V> graph) {
    return Maps.asMap(
        graph.edges(),
        edge ->
            // requireNonNull is safe because the endpoint pair comes from the graph.
            requireNonNull(graph.edgeValueOrDefault(edge.nodeU(), edge.nodeV(), null)));
  }

    }
    assertEquals(expected.toString(), SIMPLE_ESCAPER.escape(input.toString()));
  }

  public void testSurrogatePairs() {
    UnicodeEscaper e = SIMPLE_ESCAPER;

    // Build up a range of surrogate pair characters to test
    final int min = Character.MIN_SUPPLEMENTARY_CODE_POINT;
    final int max = Character.MAX_CODE_POINT;
    final int range = max - min;
    final int s1 = min + (1 * range) / 4;