ln -s "/usr/include/linux" "/${TARGET}/usr/include/linux"
ln -s "/usr/include/asm-generic" "/${TARGET}/usr/include/asm-generic"
ln -s "/usr/include/x86_64-linux-gnu/asm" "/${TARGET}/usr/include/asm"

# Symlinks in the binary distribution are set up for installation in /usr, we
# need to fix up all the links to stay within /${TARGET}.
/fixlinks.sh "/${TARGET}"

# Patch to allow non-glibc 2.12 compatible builds to work.

- Has a private implementation.
- Is owned by a single team. A team may own multiple architecture modules.

The modules are arranged into several different "Gradle platforms".
A Gradle platform is a logical distribution that provides support for a specific kind of automation.
A typical platform builds on other platforms in order to add more capabilities, for example, to add support for a particular language.

 * Artifacts matched by this map will be minified to only contain the specified
 * classes and the classes they depend on. The classes are not relocated, they all
 * remain in their original namespace. This reduces the final Gradle distribution
 * size and makes us more conscious of which parts of a library we really need.
 *
 * WARNING: if you decide to do the minification by hand, make sure that you cover all paths of loading classes:

		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{

                org = license.getUrl();
                val = interpolate(org);
                if (org != val) {
                    license.setUrl(val);
                }
                // Distribution
                org = license.getDistribution();
                val = interpolate(org);
                if (org != val) {
                    license.setDistribution(val);
                }

 * <p>{@code contains(x)}, {@code add(x)} and {@code remove(x)}, are all (expected and amortized)
 * 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

 * <p>{@code contains(x)}, {@code add(x)} and {@code remove(x)}, are all (expected and amortized)
 * 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

		Metadata:         nil,
		Parts:            nil,
		Erasure: ErasureInfo{
			Algorithm:    ReedSolomon.String(),
			DataBlocks:   4,
			ParityBlocks: 2,
			BlockSize:    10000,
			Index:        1,
			Distribution: []int{1, 2, 3, 4, 5, 6, 7, 8},
			Checksums: []ChecksumInfo{{
				PartNumber: 1,
				Algorithm:  HighwayHash256S,
				Hash:       nil,
			}},
		},
		MarkDeleted:      false,
		Data:             data,

		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,