@Nonnull
    Map<ChecksumAlgorithm, String> calculate(@Nonnull byte[] data, @Nonnull Collection<ChecksumAlgorithm> algorithms);

    /**
     * Calculates checksums for specified data.
     *
     * @param data        The content for which to calculate checksums, must not be {@code null}.
     * @param algorithms  The checksum algorithms to use, must not be {@code null}.
     * @return The calculated checksums, indexed by algorithms, never {@code null}.

	return "Bad sha256: Expected " + e.ExpectedSHA256 + " does not match calculated " + e.CalculatedSHA256
}

// BadDigest - Content-MD5 you specified did not match what we received.
type BadDigest struct {
	ExpectedMD5   string
	CalculatedMD5 string
}

func (e BadDigest) Error() string {
	return "Bad digest: Expected " + e.ExpectedMD5 + " does not match calculated " + e.CalculatedMD5
}

// SizeTooSmall reader size too small

    /**
     * Specifies a single quantile index to be calculated, i.e. the k in the kth q-quantile.
     *
     * @param index the quantile index, which must be in the inclusive range [0, q] for q-quantiles
     */
    public ScaleAndIndex index(int index) {
      return new ScaleAndIndex(scale, index);
    }

    /**
     * Specifies multiple quantile indexes to be calculated, each index being the k in the kth
     * q-quantile.

     *
     * @return The base directory of the current project or {@code null} if none.
     */
    Path getProjectDirectory();

    /**
     * Gets current calculated project properties
     *
     * @return The project properties, never {@code null}.
     */
    Map<String, String> getProjectProperties();

      return LinearTransformation.vertical(xStats.mean());
    }
  }

  /**
   * {@inheritDoc}
   *
   * <p><b>Note:</b> This tests exact equality of the calculated statistics, including the floating
   * point values. Two instances are guaranteed to be considered equal if one is copied from the
   * other using {@code second = new PairedStatsAccumulator().addAll(first).snapshot()}, if both

         */
        LIFECYCLE,
    }

    private Source source = Source.LIFECYCLE;

    /**
     * The phase may or may not have been bound to a phase but once the plan has been calculated we know what phase
     * this mojo execution is going to run in.
     */
    private String lifecyclePhase;

    /**

import org.apache.maven.api.services.ModelProblemCollector;

/**
 * Replaces expressions of the form <code>${token}</code> with their effective values. Effective values are basically
 * calculated from the elements of the model itself and the execution properties from the building request.
 *
 */
public interface ModelInterpolator {

    /**

  // update. Value can be an absolute number (ex: 5) or a percentage of total
  // number of DaemonSet pods at the start of the update (ex: 10%). Absolute
  // number is calculated from percentage by rounding up.
  // This cannot be 0 if MaxSurge is 0
  // Default value is 1.
  // Example: when this is set to 30%, at most 30% of the total number of nodes

/**
 * MavenExecutionPlan
 */
public class MavenExecutionPlan implements Iterable<ExecutionPlanItem> {

    /*
      At the moment, this class is totally immutable, and this is in line with thoughts about the
      pre-calculated execution plan that stays the same during the execution.

      If deciding to add mutable state to this class, it should be at least considered to
      separate this into a separate mutable structure.

    */

   * Returns the current sum. The returned value is NOT an atomic snapshot; invocation in
   * the absence of concurrent updates returns an accurate result, but concurrent updates that occur
   * while the sum is being calculated might not be incorporated.
   *
   * @return the sum
   */
  @Override
  public long sum() {
    long sum = base;
    Cell[] as = cells;
    if (as != null) {
      int n = as.length;