)
                if counterpart_dir in all_docs_content:
                    counterpart_found = True
        if counterpart_found:
            continue
        logging.info(f"Removing unused file: {py_file}")
        py_file.unlink()
        removed += 1
    # Clean up directories that are empty or only contain __init__.py / __pycache__
    for dir_path in sorted(docs_src_path.rglob("*"), reverse=True):

				done = true
			}
		case <-ctx.Done():
			// Refreshing is canceled
			return false, ctx.Err()
		}
		if done {
			break
		}
	}

	// We may have some unused results in ch, release them async.
	go func() {
		wg.Wait()
		xioutil.SafeClose(ch)
		for range ch {
		}
	}()

	noQuorum := lockNotFound > len(restClnts)-quorum
	return noQuorum, nil
}

    if (isCancelled() | localInputFuture == null | localFunction == null) {
      return;
    }
    inputFuture = null;

    if (localInputFuture.isCancelled()) {
      @SuppressWarnings("unchecked")
      boolean unused =
          setFuture((ListenableFuture<O>) localInputFuture); // Respects cancellation cause setting
      return;
    }

    /*

  int firstIndex() {
    return (size == 0) ? -1 : 0;
  }

  int nextIndex(int index) {
    return (index + 1 < size) ? index + 1 : -1;
  }

  int nextIndexAfterRemove(int oldNextIndex, @SuppressWarnings("unused") int removedIndex) {
    return oldNextIndex - 1;
  }

  int size() {
    return size;
  }

  @SuppressWarnings("unchecked")
  @ParametricNullness
  K getKey(int index) {

   * may not occur at all. However, despite these limitations,
   * observed contention rates are typically low in these cases.
   *
   * It is possible for a Cell to become unused when threads that
   * once hashed to it terminate, as well as in the case where
   * doubling the table causes no thread to hash to it under
   * expanded mask.  We do not try to detect or remove such cells,

      }
    },
    ;

    abstract Multiset<Integer> get();
  }

  /**
   * Duplication of the old version of ConcurrentHashMultiset (with some unused stuff removed, like
   * serialization code) which used a map with boxed integers for the values.
   */
  private static final class OldConcurrentHashMultiset<E> extends AbstractMultiset<E> {

        impl = new RegularSetBuilderImpl<>(capacity);
      } else {
        impl = EmptySetBuilderImpl.instance();
      }
    }

    Builder(@SuppressWarnings("unused") boolean subclass) {
      this.impl = null; // unused
    }

    @VisibleForTesting
    void forceJdk() {
      requireNonNull(impl); // see the comment on the field
      this.impl = new JdkBackedSetBuilderImpl<>(impl);
    }

	if err != nil {
		// Failed to create newbucket, abort.
		t.Fatalf("%s : %s", instanceType, err.Error())
	}

	// Creating a dummy bucket for tests.
	err = obj.MakeBucket(context.Background(), "unused-bucket", MakeBucketOptions{})
	if err != nil {
		// Failed to create newbucket, abort.
		t.Fatalf("%s : %s", instanceType, err.Error())
	}

	var (
		nilBytes    []byte
		data        = []byte("hello")

                this.ntlmsspFlags, this.auth.isGuest() || !this.auth.isAnonymous());
    }

    /**
     * Creates a Type 1 (negotiation) message to initiate NTLM authentication.
     * @param token unused in this implementation
     * @return the Type 1 message bytes
     */
    protected byte[] makeNegotiate(final byte[] token) {

// this to be called.
TF_CAPI_EXPORT void TF_InitMain(const char* usage, int* argc, char*** argv);

// Platform-specific implementation to return an unused port. (This should used
// in tests only.)
TF_CAPI_EXPORT int TF_PickUnusedPortOrDie(void);

// Fast path method that makes constructing a single scalar tensor require less
// overhead and copies.