TF_Operation* RandomUniform(TF_Operation* shape, TF_DataType dtype,
                            TF_Graph* graph, TF_Status* s);

// Split `input` along the first dimension into 3 tensors
TF_Operation* Split3(TF_Operation* input, TF_Graph* graph, TF_Status* s,
                     const char* name = "split3");

bool IsPlaceholder(const tensorflow::NodeDef& node_def);

                handler.processClass(packageName, shortClassName);
            }
        }
    }

    /**
     * Traverses classes contained in a ZIP file input stream.
     *
     * @param zipInputStream the ZIP file input stream (must not be {@literal null})
     * @param handler the handler to process classes (must not be {@literal null})
     */

/**
 * Request data for FSCTL_QUERY_NETWORK_INTERFACE_INFO
 *
 * This IOCTL has no input data - the request is empty
 */
public class QueryNetworkInterfaceInfoRequest {

    /**
     * Create query network interface info request
     */
    public QueryNetworkInterfaceInfoRequest() {
        // No input data required for this IOCTL
    }

    /**
     * Get the size of this request (always 0)
     *

@Experimental
public interface ModelTransformer {

    /**
     * Apply a transformation on the file model.
     *
     * @param model the input model
     * @param problems the problem collector to report any issues encountered during transformation
     * @return the transformed model, or the input model if no transformation is needed
     */
    @Nonnull
    Model transform(

    protected PropertiesUtil() {
    }

    /**
     * Wraps exception handling for {@link Properties#load(InputStream)}.
     * <p>
     * The input stream is not closed.
     * </p>
     *
     * @param props the property set (must not be {@literal null})
     * @param in the input stream (must not be {@literal null})
     */
    public static void load(final Properties props, final InputStream in) {

        "Unable to find the placeholder node as input to enqueue in the TF "
        "graph.");
    return;
  }

  VLOG(1) << "Running the enqueue op";
  TF_Output input{placeholder_op, 0};
  TF_SessionRun(session, /*run_options*/ nullptr,
                // input related parameters
                /*inputs*/ &input, /*input_values*/ &tensor, /*ninputs*/ 1,
                // output related parameters

                            },
                            "msg": {"title": "Message", "type": "string"},
                            "type": {"title": "Error Type", "type": "string"},
                            "input": {"title": "Input"},
                            "ctx": {"title": "Context", "type": "object"},
                        },
                    },
                }
            },
        }

	sum64 := siphash.Hash(k0, k1, []byte(key))
	return int(sum64 % uint64(cardinality))
}

// hashOrder - hashes input key to return consistent
// hashed integer slice. Returned integer order is salted
// with an input key. This results in consistent order.
// NOTE: collisions are fine, we are not looking for uniqueness
// in the slices returned.

 * Side Public License, v 1.
 */

package org.elasticsearch.gradle.internal;

import org.gradle.api.DefaultTask;
import org.gradle.api.file.DirectoryProperty;
import org.gradle.api.tasks.Input;
import org.gradle.api.tasks.InputDirectory;
import org.gradle.api.tasks.OutputDirectory;
import org.gradle.api.tasks.TaskAction;
import org.objectweb.asm.ClassReader;
import org.objectweb.asm.ClassWriter;

    suite.addTestSuite(Collections2Test.class);
    return suite;
  }

  static final Predicate<@Nullable String> NOT_YYY_ZZZ =
      input -> !Objects.equals(input, "yyy") && !Objects.equals(input, "zzz");

  static final Predicate<String> LENGTH_1 = input -> input.length() == 1;

  @J2ktIncompatible
  @GwtIncompatible // suite
  @AndroidIncompatible // test-suite builders
  private static Test testsForFilter() {