"application/lost+xml",
				"application/mac-binhex40",
				"application/mac-compactpro",
				"application/macwriteii",
				"application/marc",
				"application/mathematica",
				"application/mathml+xml",
				"application/mbms-associated-procedure-description+xml",
				"application/mbms-deregister+xml",
				"application/mbms-envelope+xml",
				"application/mbms-msk+xml",
				"application/mbms-msk-response+xml",

      <match value="#!/usr/bin/env wolframscript" type="string" offset="0"/>
    </magic>
    <sub-class-of type="application/mathematica"/>
  </mime-type>

  <mime-type type="application/mathml+xml">
    <glob pattern="*.mathml"/>
  </mime-type>
  <mime-type type="application/mbms-associated-procedure-description+xml"/>
  <mime-type type="application/mbms-deregister+xml"/>
  <mime-type type="application/mbms-envelope+xml"/>

     */
    return (int) Math.pow(a, 1.0 / concentration);
  }

  @AfterExperiment
  void tearDown() {
    double req = requests.get();
    double hit = req - misses.get();

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }

  // for proper distributions later:
  // import JSci.maths.statistics.ProbabilityDistribution;

     */
    return (int) Math.pow(a, 1.0 / concentration);
  }

  @AfterExperiment
  void tearDown() {
    double req = requests.get();
    double hit = req - misses.get();

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }

  // for proper distributions later:
  // import JSci.maths.statistics.ProbabilityDistribution;

        versionProperties["spock"] = "2.3-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)

    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,

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;

 */

package com.google.common.math;

import static java.math.BigInteger.ONE;
import static java.math.BigInteger.ZERO;
import static java.math.RoundingMode.CEILING;
import static java.math.RoundingMode.DOWN;
import static java.math.RoundingMode.FLOOR;
import static java.math.RoundingMode.HALF_DOWN;
import static java.math.RoundingMode.HALF_EVEN;
import static java.math.RoundingMode.HALF_UP;

 * 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.randomDouble;
import static com.google.common.math.MathBenchmarking.randomPositiveDouble;

import com.google.caliper.BeforeExperiment;

		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