characteristics,
                estimatedSize),
            isParallel)
        .onClose(() -> closeAll(streams));
  }

  /**
   * Returns a stream in which each element is the result of passing the corresponding element of
   * each of {@code streamA} and {@code streamB} to {@code function}.
   *
   * <p>For example:
   *
   * {@snippet :
   * Streams.zip(
   *   Stream.of("foo1", "foo2", "foo3"),

    checkArgument(min <= max, "min (%s) must be less than or equal to max (%s)", min, max);
    return Math.min(Math.max(value, min), max);
  }

  /**
   * Returns the values from each provided array combined into a single array. For example, {@code
   * concat(new int[] {a, b}, new int[] {}, new int[] {c}} returns the array {@code {a, b, c}}.
   *
   * @param arrays zero or more {@code int} arrays

        'device at: https://developer.nvidia.com/cuda-gpus. Each capability '
        'can be specified as "x.y" or "compute_xy" to include both virtual and'
        ' binary GPU code, or as "sm_xy" to only include the binary '
        'code.\nPlease note that each additional compute capability '
        'significantly increases your build time and binary size, and that '

    }

    @Override
    public Map<String, Collection<Integer>> create(Object... elements) {
      ImmutableMap.Builder<String, Integer> builder = ImmutableMap.builder();
      // assumes that each set is a singleton or less (as is done for the samples)
      for (Object elem : elements) {
        @SuppressWarnings("unchecked") // safe by generator contract

        multiset2.add("equalIn1");
        multiset2.add("fewerIn1", 3);
        multiset2.add("onlyIn2", 2);
        for (int i = 0; i < elements.length; i++) {
          // add 1 more copy of each element to multiset1 than multiset2
          multiset1.add(elements[i], i + 2);
          multiset2.add(elements[i], i + 1);
        }
        return difference(multiset1, multiset2);
      }
    };
  }

package hash

import (
	"encoding/base64"
	"encoding/binary"
	"fmt"
	"hash/crc32"
	"hash/crc64"
	"math/bits"
)

// AddPart will merge a part checksum into the current,
// as if the content of each was appended.
// The size of the content that produced the second checksum must be provided.
// Not all checksum types can be merged, use the CanMerge method to check.
// Checksum types must match.

         * ours as they do when they perform the same comparison in reverse. To provide that
         * behavior on all platforms, TypeResolver must return the appropriate TypeVariable
         * implementation in each of the three possible cases:
         *
         * 1. Under Android, the built-in TypeVariable implementation interoperates with ours.

  // (as in the case of ConstOp kernel creation on GPU, which involves copying a
  // CPU tensor to GPU).
  // Setting a larger thread pool does not help with the Swift caller, as we use
  // a different TFE context for each thread of execution (for running graph
  // functions, and their send/recvs corountines).
  config.set_inter_op_parallelism_threads(1);

  TF_Buffer* ret = TF_NewBuffer();
  TF_CHECK_OK(MessageToBuffer(config, ret));

                executor.shutdownNow();
            }
        }

        long elapsed = (System.nanoTime() - time) / 1000000;
        // Different hosts should NOT wait for each other
        assertTrue(elapsed + " should be much less than " + (waittime * numTasks), elapsed < waittime * numTasks / 2);
    }

    /**
     * Test that file:// URLs are not delayed
     */

   * Returns true if the edges in this graph are directed. Directed edges connect a {@link
   * EndpointPair#source() source node} to a {@link EndpointPair#target() target node}, while
   * undirected edges connect a pair of nodes to each other.
   */
  boolean isDirected();

  /**
   * Returns true if this graph allows self-loops (edges that connect a node to itself). Attempting