# Look for the right JVM to use
for jdir in $JDK_DIRS; do
    if [ -r "$jdir/bin/java" -a -z "${JAVA_HOME}" ]; then
        JAVA_HOME="$jdir"
    fi
done
export JAVA_HOME

# Directory where the Fess binary distribution resides
FESS_HOME=${packaging.fess.home.dir}

# Heap size defaults to 256m min, 1g max
# Set FESS_HEAP_SIZE to 50% of available RAM, but no more than 31g
#FESS_HEAP_SIZE=2g

# Heap new generation

  </issueManagement>
  <inceptionYear>2010</inceptionYear>
  <licenses>
    <license>
      <name>Apache License, Version 2.0</name>
      <url>http://www.apache.org/licenses/LICENSE-2.0.txt</url>
      <distribution>repo</distribution>
    </license>
  </licenses>
  <scm>
    <connection>scm:git:https://github.com/google/guava.git</connection>
    <developerConnection>scm:git:******@****.***:google/guava.git</developerConnection>

  </issueManagement>
  <inceptionYear>2010</inceptionYear>
  <licenses>
    <license>
      <name>Apache License, Version 2.0</name>
      <url>http://www.apache.org/licenses/LICENSE-2.0.txt</url>
      <distribution>repo</distribution>
    </license>
  </licenses>
  <scm>
    <connection>scm:git:https://github.com/google/guava.git</connection>
    <developerConnection>scm:git:******@****.***:google/guava.git</developerConnection>

		Name:      sizeDistribution,
		Help:      "Distribution of object sizes across a cluster",
		Type:      histogramMetric,
	}
}

func getClusterObjectVersionsMD() MetricDescription {
	return MetricDescription{
		Namespace: clusterMetricNamespace,
		Subsystem: objectsSubsystem,
		Name:      versionDistribution,
		Help:      "Distribution of object versions across a cluster",
		Type:      histogramMetric,

		return true
	}
	dataBlocks := fi.Erasure.DataBlocks
	parityBlocks := fi.Erasure.ParityBlocks
	correctIndexes := (fi.Erasure.Index > 0 &&
		fi.Erasure.Index <= dataBlocks+parityBlocks &&
		len(fi.Erasure.Distribution) == (dataBlocks+parityBlocks))
	return ((dataBlocks >= parityBlocks) &&
		(dataBlocks > 0) && (parityBlocks >= 0) &&
		correctIndexes)
}

// ToObjectInfo - Converts metadata to object info.

				Checksums:  map[string]string(nil),
			},
		},
		Erasure: ErasureInfo{
			Algorithm:    "ReedSolomon",
			DataBlocks:   6,
			ParityBlocks: 6,
			BlockSize:    1048576,
			Index:        1,
			Distribution: []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12},
			Checksums:    []ChecksumInfo{{PartNumber: 1, Algorithm: 0x3, Hash: []uint8{}}},
		},
		NumVersions: 1,
		Idx:         0,
	}

	fi2 := FileInfo{

        licenses {
          license {
            name.set("The Apache Software License, Version 2.0")
            url.set("https://www.apache.org/licenses/LICENSE-2.0.txt")
            distribution.set("repo")
          }
        }
        scm {
          connection.set("scm:git:https://github.com/square/okhttp.git")
          developerConnection.set("scm:git:ssh://******@****.***/square/okhttp.git")

 * constant time operations. Expected in the hashtable sense (depends on the hash function doing a
 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>This implementation consumes significantly less memory than {@code java.util.LinkedHashSet} or

Attribution 4.0 International

=======================================================================

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information available on an "as-is" basis. Creative Commons gives no

*   `tf.contrib`:
    *   `tf.contrib.distributions`:
    *   Add `tf.contrib.distributions.Autoregressive`.
    *   Make `tf.contrib.distributions` QuadratureCompound classes support batch
    *   Infer `tf.contrib.distributions.RelaxedOneHotCategorical` `dtype` from
        arguments.
    *   Make `tf.contrib.distributions` quadrature family parameterized by