ASSERT_TRUE(scalar3 != nullptr);
  ASSERT_TRUE(feed3 != nullptr);
  ASSERT_TRUE(neg3 != nullptr);

  // Check that newly-imported scalar and feed have control deps (neg3 will
  // inherit them from input)
  TF_Operation* control_inputs[100];
  int num_control_inputs = TF_OperationGetControlInputs(
      scalar3, control_inputs, TF_OperationNumControlInputs(scalar3));

			for diskIdx := range eps {
				eps[diskIdx].SetPoolIndex(poolIdx)
				eps[diskIdx].SetSetIndex(setIdx)
				eps[diskIdx].SetDiskIndex(diskIdx)
			}

			endpoints = append(endpoints, eps...)
		}

		if len(endpoints) == 0 {
			return nil, setupType, config.ErrInvalidErasureEndpoints(nil).Msg("invalid number of endpoints")
		}

		poolEndpoints[poolIdx] = endpoints
	}

text-decoration:none; } #content table a:hover { background-color:#CED4BD; color:#7A9437; } table.deps { border-collapse:collapse; width:90%; margin:auto; margin-top: 5px; } table.deps thead { background-color:#CED4BD; border:1px solid #7A9437; } table.deps tbody { border-collapse:collapse; background-color:#FFFFFF; border:1px solid #7A9437; } table.deps th { font-family:monospace; border:1px solid #7A9437; padding:2; } table.deps td { border:1px dotted #7A9437; padding:0 3 0 3; } table.header { border:0; width:90%;...

  @Benchmark
  int weakInterner(int reps) {
    Interner<String> interner = Interners.newWeakInterner();
    for (int i = 0; i < reps; i++) {
      String unused = interner.intern(Double.toHexString(Math.random()));
    }
    return reps;
  }

  @Benchmark
  int strongInterner(int reps) {
    Interner<String> interner = Interners.newStrongInterner();
    for (int i = 0; i < reps; i++) {

    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(1, 2, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(90, 100, dataset(i));
    }

    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(1, 2, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(90, 100, dataset(i));
    }

  @Benchmark
  int joinerWithStringDelimiter(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy ^= JOINER_ON_STRING.join(components).length();
    }
    return dummy;
  }

  /** {@link Joiner} with a character delimiter. */
  @Benchmark
  int joinerWithCharacterDelimiter(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {

      ints[i] = RANDOM_SOURCE.nextInt();
    }
  }

  @Benchmark
  int pow(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += IntMath.pow(positive[j], exponent[j]);
    }
    return tmp;
  }

  @Benchmark
  int mod(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += IntMath.mod(ints[j], positive[j]);

    }
  }

  @Benchmark
  long log2(int reps) {
    long tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += Double.doubleToRawLongBits(DoubleMath.log2(positiveDoubles[j]));
    }
    return tmp;
  }

  @Benchmark
  long factorial(int reps) {
    long tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

      longs[i] = RANDOM_SOURCE.nextLong();
    }
  }

  @Benchmark
  int log2(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += LongMath.log2(positive[j], mode);
    }
    return tmp;
  }

  @Benchmark
  int log10(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += LongMath.log10(positive[j], mode);