tensorflow::mutex_lock c(graph->mu);
  const auto& debug_str = graph->graph.ToGraphDefDebug().DebugString();
  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);
  return ret;
}

char* TF_FunctionDebugString(TF_Function* func, size_t* len) {
  const auto& debug_str = DebugString(func->record->fdef());
  *len = debug_str.size();

   *
   * <p>The default behavior is to auto increment by zero. i.e: The ticker is left unchanged when
   * queried.
   */
  @SuppressWarnings("GoodTime") // should accept a java.time.Duration
  @CanIgnoreReturnValue
  public FakeTicker setAutoIncrementStep(long autoIncrementStep, TimeUnit timeUnit) {
    checkArgument(autoIncrementStep >= 0, "May not auto-increment by a negative amount");

    # Either the 'source' or 'remote' *must* be the "local" deployment
#    endpoint: "http://127.0.0.1:9000"
#    # path: "on|off|auto" # "on" enables path-style bucket lookup. "off" enables virtual host (DNS)-style bucket lookup. Defaults to "auto"
#    credentials:
#      accessKey: minioadmin # Required
#      secretKey: minioadmin # Required

    public MetadataResolutionException() {
        // TODO Auto-generated constructor stub
    }

    public MetadataResolutionException(String message) {
        super(message);
        // TODO Auto-generated constructor stub
    }

    public MetadataResolutionException(Throwable cause) {
        super(cause);
        // TODO Auto-generated constructor stub
    }

        props.setProperty("jcifs.smb.client.useRDMA", "true");
        // Don't set provider, should default to auto

        PropertyConfiguration config = new PropertyConfiguration(props);

        assertTrue(config.isUseRDMA(), "RDMA should be enabled");
        assertEquals("auto", config.getRdmaProvider(), "Provider should default to auto");
    }

  StringVectorToArrays(list, &list_ptrs, &list_lens);
  int list_total_size = 0;
  for (const auto& s : list) {
    list_total_size += s.size();
  }

  auto desc = init("list(string)");
  TF_SetAttrStringList(desc, "v", list_ptrs.get(), list_lens.get(),
                       list.size());

  auto oper = TF_FinishOperation(desc, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.crawler.client.http.ntlm;

import org.apache.http.impl.auth.NTLMEngine;
import org.apache.http.impl.auth.NTLMEngineException;

/**
 * SmbjEngine is a NTLM Engine implementation based on smbj.
 *
 * @author shinsuke
 *
 */
public class SmbjEngine implements NTLMEngine {

    /**

    CHECK_LT(output.index, ic->num_outputs());  // Crash OK
    const auto* shapes_and_types =
        ic->output_handle_shapes_and_types(output.index);
    if (shapes_and_types == nullptr) return nullptr;

    for (const auto& p : *shapes_and_types) {
      auto* out_shape_and_type = handle_data.add_shape_and_type();
      ic->ShapeHandleToProto(p.shape, out_shape_and_type->mutable_shape());

            ":docs:checkLinks",
            extraParameters =
                listOf(
                    buildScanTagParam("CheckLinks"),
                    "-Dorg.gradle.java.installations.auto-download=false",
                    "-Porg.gradle.java.installations.auto-download=false",
                ).joinToString(" "),
        )

          },
          "custom": {
            "axisBorderShow": false,
            "axisCenteredZero": false,
            "axisColorMode": "text",
            "axisLabel": "",
            "axisPlacement": "auto",
            "barAlignment": 0,
            "drawStyle": "line",
            "fillOpacity": 10,
            "gradientMode": "none",
            "hideFrom": {
              "legend": false,