config = configFile("codenarc-integtests.xml")
    }
}

val SourceSet.allGroovy: SourceDirectorySet
    get() = the<GroovySourceDirectorySet>()

abstract class CodeNarcRule @Inject constructor(
    private val groovyVersion: String
) : ComponentMetadataRule {
    override fun execute(context: ComponentMetadataContext) {
        context.details.allVariants {
            withDependencies {

  tensorflow::JobDef* job_def = cluster_def->add_job();
  job_def->set_name(job_name);
  for (int i = 0; i < num_tasks; i++) {
    int port = tensorflow::testing::PickUnusedPortOrDie();
    job_def->mutable_tasks()->insert(
        {i, tensorflow::strings::StrCat("localhost:", port)});
    LOG(INFO) << "Picked test port: " << port << " for job: " << job_name
              << ", task: " << i;
  }
  return server_def;
}

        sb.append(dm).append(updatedTime);
        sb.append(dm).append(username);
        if (sb.length() > dm.length()) {
            sb.delete(0, dm.length());
        }
        sb.insert(0, "{").append("}");
        return sb.toString();
    }

    // ===================================================================================

      if (recurrence) {
        "run again after ${formatDuration(executeNanoTime - now)}"
      } else {
        "scheduled after ${formatDuration(executeNanoTime - now)}"
      }
    }

    // Insert in chronological order. Always compare deltas because nanoTime() is permitted to wrap.
    var insertAt = futureTasks.indexOfFirst { it.nextExecuteNanoTime - now > delayNanos }
    if (insertAt == -1) insertAt = futureTasks.size

        }

        return new PagingList<>(stemmerOverrideItemList.subList(offset, toIndex), offset, size, stemmerOverrideItemList.size());
    }

    @Override
    public synchronized void insert(final StemmerOverrideItem item) {
        try (StemmerOverrideUpdater updater = new StemmerOverrideUpdater(item)) {
            reload(updater);
        }
    }

    @Override

          if (high < low) {
            break; // Pointers crossed. Partitioning complete.
          }
          swap(array, low, high); // End of innermost loop.
        }
        array[from + 1] = array[high]; // Insert partitioning element.
        array[high] = partition;

        // Continue the partition that contains the kth element.
        if (high >= k) {
          to = high - 1;
        }
        if (high <= k) {

vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.
Eager mode lets users write imperative-style statements that can be easily
inspected and debugged and it is intended to be used during the development
phase.

As part of the differences that make Eager mode easier to debug, the [shape
inference

    if len(testsuite) == 0:  # pylint: disable=g-explicit-length-test
      r._elem.remove(testsuite._elem)
  if len(r) > 0:  # pylint: disable=g-explicit-length-test
    result += r

# Insert the number of failures for each test to help identify flakes
# need to clarify for shard
for p in result._elem.xpath(".//error | .//failure"):
  key = re.sub(r"0x\w+", "", p.getparent().get("name", "")) + p.text

                        badWord.setSuggestWord(targetWord);
                        badWord.setCreatedBy(Constants.SYSTEM_USER);
                        badWord.setCreatedTime(now);
                        badWordBhv.insert(badWord);
                    } else {
                        badWord.setUpdatedBy(Constants.SYSTEM_USER);
                        badWord.setUpdatedTime(now);
                        badWordBhv.update(badWord);

pkg maps, func All[$0 interface{ ~map[$1]$2 }, $1 comparable, $2 interface{}]($0) iter.Seq2[$1, $2] #61900
pkg maps, func Collect[$0 comparable, $1 interface{}](iter.Seq2[$0, $1]) map[$0]$1 #61900
pkg maps, func Insert[$0 interface{ ~map[$1]$2 }, $1 comparable, $2 interface{}]($0, iter.Seq2[$1, $2]) #61900
pkg maps, func Keys[$0 interface{ ~map[$1]$2 }, $1 comparable, $2 interface{}]($0) iter.Seq[$1] #61900