// BlockSize is the size of one erasure-coded block
	BlockSize int64 `json:"blockSize"`
	// Index is the index of the current disk
	Index int `json:"index"`
	// Distribution is the distribution of the data and parity blocks
	Distribution []int `json:"distribution"`
	// Checksums holds all bitrot checksums of all erasure encoded blocks
	Checksums []ChecksumInfo `json:"checksum,omitempty"`
}

				return
			}
		case "Distribution":
			var zb0002 uint32
			zb0002, err = dc.ReadArrayHeader()
			if err != nil {
				err = msgp.WrapError(err, "Distribution")
				return
			}
			if cap(z.Distribution) >= int(zb0002) {
				z.Distribution = (z.Distribution)[:zb0002]
			} else {
				z.Distribution = make([]int, zb0002)
			}
			for za0001 := range z.Distribution {

			// consider the offline disks as consistent.
			continue
		}
		if !meta.Deleted {
			if len(meta.Erasure.Distribution) != len(onlineDisks) {
				// Erasure distribution seems to have lesser
				// number of items than number of online disks.
				inconsistent++
				continue
			}
			if meta.Erasure.Distribution[i] != meta.Erasure.Index {

    }

    /*
     To avoid unnecessary rerun, what we do here is a bit complicated:

     1. Build a Gradle distribution with a fixed timestamp and hash it, but never use this distribution.
     2. Build a Gradle distribution with this hash as a version + fixed timestamp -> dogfood-first
     3. Build a Gradle distribution using dogfood-first with this hash as a version + fixed timestamp different from the one above -> dogfood-second

          python-version: "3.10"
      - name: Install build dependencies
        run: pip install build
      - name: Build source distribution
        env:
          TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
        run: python -m build --sdist
      - name: Decompress source distribution
        run: |
          cd dist
          tar xvf fastapi*.tar.gz
      - name: Install test dependencies
        run: |

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */
final class MathBenchmarking {
  static final int ARRAY_SIZE = 0x10000;

You can then use it as a Gradle Wrapper local distribution in a Gradle based project by using a `file:/` URL pointing to the built distribution:

    ./gradlew wrapper --gradle-distribution-url=file:/path/to/gradle-<version>-bin.zip

To create a full distribution (includes sources and docs):

    ./gradlew :distributions-full:allDistributionZip

	}
	if len(unMarshalXLMeta.Erasure.Distribution) != len(jsoniterXLMeta.Erasure.Distribution) {
		t.Errorf("Expected the size of Erasure Distribution to be %d, but got %d.", len(unMarshalXLMeta.Erasure.Distribution), len(jsoniterXLMeta.Erasure.Distribution))
	} else {
		for i := 0; i < len(unMarshalXLMeta.Erasure.Distribution); i++ {
			if unMarshalXLMeta.Erasure.Distribution[i] != jsoniterXLMeta.Erasure.Distribution[i] {

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */
final class MathBenchmarking {
  static final int ARRAY_SIZE = 0x10000;

      - name: 'Set up JDK ${{ matrix.java }}'
        uses: actions/setup-java@8df1039502a15bceb9433410b1a100fbe190c53b # v4.5.0

        with:
          java-version: ${{ matrix.java }}
          distribution: 'zulu'
          cache: 'maven'
      - name: 'Install'
        shell: bash