"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"/>

cpovirk <******@****.***> 1721404771 -0700

     */
    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;

pkg math/bits, func Len(uint) int
pkg math/bits, func Len16(uint16) int
pkg math/bits, func Len32(uint32) int
pkg math/bits, func Len64(uint64) int
pkg math/bits, func Len8(uint8) int
pkg math/bits, func OnesCount(uint) int
pkg math/bits, func OnesCount16(uint16) int
pkg math/bits, func OnesCount32(uint32) int
pkg math/bits, func OnesCount64(uint64) int
pkg math/bits, func OnesCount8(uint8) int

pkg math/rand/v2, func Shuffle(int, func(int, int)) #61716
pkg math/rand/v2, func Uint32() uint32 #61716
pkg math/rand/v2, func Uint32N(uint32) uint32 #61716
pkg math/rand/v2, func Uint64() uint64 #61716
pkg math/rand/v2, func Uint64N(uint64) uint64 #61716
pkg math/rand/v2, func UintN(uint) uint #61716
pkg math/rand/v2, method (*ChaCha8) MarshalBinary() ([]uint8, error) #61716
pkg math/rand/v2, method (*ChaCha8) Seed([32]uint8) #61716

    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;

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;