versionProperties["spock"] = "2.2-groovy-${groovyVersion.major}.${groovyVersion.minor}"

        findLatest("guava", "com.google.guava:guava:(20,)", versionProperties)
        findLatest("commons-math", "org.apache.commons:commons-math3:latest.release", versionProperties)
        findLatest("commons-text", "org.apache.commons:commons-text:latest.release", versionProperties)

  EXPECT_EQ(*result_value, 4.0);

  TF_DeleteTensor(result_tensor);
  TF_DeleteAbstractTensor(result);
  TF_DeleteOutputList(o);
  TF_DeleteExecutionContext(ctx);
}

// MatMul Test
TEST_P(UnifiedCAPI, TestBasicEagerMatMul) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);
  TFE_ContextOptions* opts = TFE_NewContextOptions();

 */

package com.google.common.math;

import static com.google.common.math.Stats.toStats;
import static com.google.common.math.StatsTesting.ALLOWED_ERROR;
import static com.google.common.math.StatsTesting.ALL_MANY_VALUES;
import static com.google.common.math.StatsTesting.ALL_STATS;
import static com.google.common.math.StatsTesting.EMPTY_STATS_ITERABLE;
import static com.google.common.math.StatsTesting.EMPTY_STATS_VARARGS;

import static com.google.common.math.StatsTesting.OTHER_ONE_VALUE_STATS;
import static com.google.common.math.StatsTesting.OTHER_TWO_VALUES;
import static com.google.common.math.StatsTesting.OTHER_TWO_VALUES_STATS;
import static com.google.common.math.StatsTesting.TWO_VALUES;
import static com.google.common.math.StatsTesting.TWO_VALUES_STATS;

import static com.google.common.math.StatsTesting.LONG_MANY_VALUES_SUM_OF_SQUARES_OF_DELTAS;
import static com.google.common.math.StatsTesting.MANY_VALUES;
import static com.google.common.math.StatsTesting.MANY_VALUES_COUNT;
import static com.google.common.math.StatsTesting.MANY_VALUES_MAX;
import static com.google.common.math.StatsTesting.MANY_VALUES_MEAN;

		m.Set(sysCPULoadPerc, math.Round(perc*100)/100)
	}

	ts := cpuMetrics.TimesStat
	if ts != nil {
		tot := ts.User + ts.System + ts.Idle + ts.Iowait + ts.Nice + ts.Steal
		cpuUserVal := math.Round(ts.User/tot*100*100) / 100
		m.Set(sysCPUUser, cpuUserVal)
		cpuSystemVal := math.Round(ts.System/tot*100*100) / 100
		m.Set(sysCPUSystem, cpuSystemVal)
		cpuNiceVal := math.Round(ts.Nice/tot*100*100) / 100

 * limitations under the License.
 */

package com.google.common.math;

import static com.google.common.math.MathTesting.ALL_BIGINTEGER_CANDIDATES;
import static com.google.common.math.MathTesting.FINITE_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.POSITIVE_FINITE_DOUBLE_CANDIDATES;
import static com.google.common.truth.Truth.assertThat;

 * limitations under the License.
 */

package com.google.common.math;

import static com.google.common.math.MathTesting.ALL_BIGINTEGER_CANDIDATES;
import static com.google.common.math.MathTesting.FINITE_DOUBLE_CANDIDATES;
import static com.google.common.math.MathTesting.POSITIVE_FINITE_DOUBLE_CANDIDATES;
import static com.google.common.truth.Truth.assertThat;

    TF_Operation* const1 = FloatConst2x2(graph_, s_, const1_val, "Const_1");
    TF_Operation* matmul = MatMul(graph_, s_, const0, const1, "MatMul");
    inputs[0] = TF_Output{const0, 0};
    inputs[1] = TF_Output{const1, 0};
    outputs[0] = TF_Output{matmul, 0};
    EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  }

  void BuildExpectedGraph(bool grad_inputs_provided,

 * limitations under the License.
 */

package com.google.common.math;

import static com.google.common.math.MathBenchmarking.ARRAY_MASK;
import static com.google.common.math.MathBenchmarking.ARRAY_SIZE;
import static com.google.common.math.MathBenchmarking.RANDOM_SOURCE;
import static java.math.RoundingMode.CEILING;

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;