// scanners.
func (s *Scanner) Scan() bool {
	if s.done {
		return false
	}
	s.scanCalled = true
	// Loop until we have a token.
	for {
		// See if we can get a token with what we already have.
		// If we've run out of data but have an error, give the split function
		// a chance to recover any remaining, possibly empty token.
		if s.end > s.start || s.err != nil {

Now, from a **developer's perspective**, here are several things to keep in mind while thinking about HTTPS:

* For HTTPS, **the server** needs to **have "certificates"** generated by a **third party**.
    * Those certificates are actually **acquired** from the third party, not "generated".
* Certificates have a **lifetime**.
    * They **expire**.
    * And then they need to be **renewed**, **acquired again** from the third party.

		// then we need to make sure we have unlocked
		// upto tolerance+1 - especially for RUnlock
		// to ensure that we don't end up with active
		// read locks on the resource after unlocking
		// only half of the lockers.
		return unlocksFailed >= tolerance
	}
	return unlocksFailed > tolerance
}

// checkQuorumLocked determines whether we have locked the required quorum of underlying locks or not

        return true
      }
    }

    // If we have a routes left, use 'em.
    if (routeSelection?.hasNext() == true) return true

    // If we haven't initialized the route selector yet, assume it'll have at least one route.
    val localRouteSelector = routeSelector ?: return true

    // If we do have a route selector, use its routes.
    return localRouteSelector.hasNext()
  }

  /**

## Dataclasses in Nested Data Structures

You can also combine `dataclasses` with other type annotations to make nested data structures.

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

	// Total Size for objects that have not yet been replicated
	ReplicationPendingSizeV1 uint64 `json:"objectsPendingReplicationTotalSize"`
	// Total size for objects that have witness one or more failures and will be retried
	ReplicationFailedSizeV1 uint64 `json:"objectsFailedReplicationTotalSize"`
	// Total size for objects that have been replicated to destination

                return 0;
              case 1:
                return 1;
              case 2:
                return endOfData();
              default:
                throw new AssertionError("Should not have been invoked again");
            }
          }
        };

    assertTrue(iter.hasNext());
    assertEquals(0, (int) iter.next());

    // verify idempotence of hasNext()
    assertTrue(iter.hasNext());

			// If the object you request does not exist,
			// the error Amazon S3 returns depends on
			// whether you also have the s3:ListBucket
			// permission.
			// * If you have the s3:ListBucket permission
			//   on the bucket, Amazon S3 will return an
			//   HTTP status code 404 ("no such key")
			//   error.
			// * if you don’t have the s3:ListBucket
			//   permission, Amazon S3 will return an HTTP

    # then two meshes must have different Mesh IDs:
    # - Meshes will have their telemetry aggregated in one place
    # - Meshes will be federated together
    # - Policy will be written referencing one mesh from the other
    #
    # If an administrator expects that any of these conditions may become true in
    # the future, they should ensure their meshes have different Mesh IDs
    # assigned.
    #

        }

        // After the collection we will have the artifact object in the result but they will not be resolved yet.
        result = artifactCollector.collect(
                artifacts, rootArtifact, managedVersions, collectionRequest, source, collectionFilter, listeners, null);

        // We have metadata retrieval problems, or there are cycles that have been detected