assertEquals(3, steps.size)

        val expectedGradleParams =
            """
            -PcommitId=%dep.Gradle_Release_Check_Stage_ReadyforNightly_Trigger.build.vcs.number% 
            "-PgitUserName=bot-teamcity"
            "-PgitUserEmail=******@****.***"
            $pluginPortalUrlOverride
            -DenablePredictiveTestSelection=false

  }

  /**
   * Acquires the given number of permits from this {@code RateLimiter}, blocking until the request
   * can be granted. Tells the amount of time slept, if any.
   *
   * @param permits the number of permits to acquire
   * @return time spent sleeping to enforce rate, in seconds; 0.0 if not rate-limited
   * @throws IllegalArgumentException if the requested number of permits is negative or zero

        receiveCredits.incrementAndGet();
    }

    /**
     * Get number of available send credits
     *
     * @return available send credits
     */
    public int getAvailableSendCredits() {
        return sendCredits.get();
    }

    /**
     * Get number of available receive credits
     *
     * @return available receive credits
     */

 */
public class IndexingHelper {
    /** Logger for this class */
    private static final Logger logger = LogManager.getLogger(IndexingHelper.class);

    /** Maximum number of retry attempts for failed operations */
    protected int maxRetryCount = 5;

    /** Default number of rows to process in a single batch */
    protected int defaultRowSize = 100;

    /**
     * Default constructor for indexing helper.

    protected int dataDisplacement;

    /** Total number of parameter bytes to be sent */
    protected int totalParameterCount;
    /** Total number of data bytes to be sent */
    protected int totalDataCount;
    /** Maximum number of parameter bytes the server should return */
    protected int maxParameterCount;
    /** Maximum number of data bytes the server should return */
    protected int maxDataCount;

//
//	 e1 := MD5(part-1)
//	 e2 := MD5(part-2)
//	...
//	 eN := MD5(part-N)
//
// Then, the ETag of the object is computed as MD5 of all individual
// part checksums. S3 also encodes the number of parts into the ETag
// by appending a -<number-of-parts> at the end:
//
//	ETag := MD5(e1 || e2 || e3 ... || eN) || -N
//
//	For example: ceb8853ddc5086cc4ab9e149f8f09c88-5
//

   * skipped.
   *
   * @param streamId server-initiated stream ID: an even number.
   * @param source location of data corresponding with this stream ID.
   * @param byteCount number of bytes to read or skip from the source.
   * @param last when true, there are no data frames to follow.
   */
  @Throws(IOException::class)
  fun onData(
    streamId: Int,
    source: BufferedSource,

    }

    /**
     * Returns the number of POMs processed.
     */
    public int processedCount() {
        return processedPoms.size();
    }

    /**
     * Returns the number of POMs modified.
     */
    public int modifiedCount() {
        return modifiedPoms.size();
    }

    /**
     * Returns the number of POMs that had errors.
     */
    public int errorCount() {

      }
      return array;
    }

    /** Number of bits */
    long bitSize() {
      return (long) data.length() * Long.SIZE;
    }

    /**
     * Number of set bits (1s).
     *
     * <p>Note that because of concurrent set calls and uses of atomics, this bitCount is a (very)
     * close *estimate* of the actual number of bits set. It's not possible to do better than an

with 4 drives we get a total of 256 possible sets. So algorithm automatically chooses 64 sets, which is *16* 64 = 1024* drives in total.

- *If total number of nodes are of odd number then GCD algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution,...