*
   * @param array the source array
   * @param minLength the minimum length the returned array must guarantee
   * @param padding an extra amount to "grow" the array by if growth is necessary
   * @throws IllegalArgumentException if {@code minLength} or {@code padding} is negative
   * @return an array containing the values of {@code array}, with guaranteed minimum length {@code
   *     minLength}
   */

   *
   * @param array the source array
   * @param minLength the minimum length the returned array must guarantee
   * @param padding an extra amount to "grow" the array by if growth is necessary
   * @throws IllegalArgumentException if {@code minLength} or {@code padding} is negative
   * @return an array containing the values of {@code array}, with guaranteed minimum length {@code
   *     minLength}
   */

   *
   * @param array the source array
   * @param minLength the minimum length the returned array must guarantee
   * @param padding an extra amount to "grow" the array by if growth is necessary
   * @throws IllegalArgumentException if {@code minLength} or {@code padding} is negative
   * @return an array containing the values of {@code array}, with guaranteed minimum length {@code
   *     minLength}
   */

By declaring types for your variables, editors and tools can give you better support.

This is just a **quick tutorial / refresher** about Python type hints. It covers only the minimum necessary to use them with **FastAPI**... which is actually very little.

**FastAPI** is all based on these type hints, they give it many advantages and benefits.

           * collection like ConcurrentHashMap, which sums up several counters that may not be in
           * sync with one another). We accommodate that by resizing as necessary.
           */
          toJoin = Arrays.copyOf(toJoin, expandedCapacity(toJoin.length, toJoin.length + 1));
        }
        toJoin[i++] = toString(part);
      }

   *
   * <p>The returned table is not thread-safe or serializable, even if the underlying table is.
   *
   * <p>The function is applied lazily, invoked when needed. This is necessary for the returned
   * table to be a view, but it means that the function will be applied many times for bulk
   * operations like {@link Table#containsValue} and {@code Table.toString()}. For this to perform

> even if you have Gradle or Develocity build caching enabled for the project.
> The Gradle Build Tool repository is massive, and it will take ages to build on
> a local machine without necessary parallelization and caching.
> The full test suites are executed on the CI instance for multiple configurations,
> and you can rely on it after doing initial sanity check and targeted local testing.

   * @return {@code true} if an occurrence was found and removed
   */
  @CanIgnoreReturnValue
  @Override
  boolean remove(@Nullable Object element);

  /**
   * Adds or removes the necessary occurrences of an element such that the element attains the
   * desired count.
   *
   * @param element the element to add or remove occurrences of; may be null only if explicitly
   *     allowed by the implementation

    columnKeyToIndex = Maps.indexMap(columnList);

    @SuppressWarnings("unchecked")
    @Nullable V[][] tmpArray = (@Nullable V[][]) new Object[rowList.size()][columnList.size()];
    array = tmpArray;
    // Necessary because in GWT the arrays are initialized with "undefined" instead of null.
    eraseAll();
  }

  private ArrayTable(Table<R, C, ? extends @Nullable V> table) {
    this(table.rowKeySet(), table.columnKeySet());

 * OkHttpClient eagerClient = client.newBuilder()
 *     .readTimeout(500, TimeUnit.MILLISECONDS)
 *     .build();
 * Response response = eagerClient.newCall(request).execute();
 * ```
 *
 * ## Shutdown Isn't Necessary
 *
 * The threads and connections that are held will be released automatically if they remain idle. But
 * if you are writing a application that needs to aggressively release unused resources you may do
 * so.
 *