* number of streams, dynamically configured with `SETTINGS_MAX_CONCURRENT_STREAMS`. A connection
 * currently carrying zero streams is an idle stream. We keep it alive because reusing an existing
 * connection is typically faster than establishing a new one.
 *
 * When a single logical call requires multiple streams due to redirects or authorization
 * challenges, we prefer to use the same physical connection for all streams in the sequence. There

'layout-lg-navbar-fixed'\nconst CLASS_NAME_NAVBAR_XL_FIXED = 'layout-xl-navbar-fixed'\nconst CLASS_NAME_FOOTER_FIXED = 'layout-footer-fixed'\nconst CLASS_NAME_FOOTER_SM_FIXED = 'layout-sm-footer-fixed'\nconst CLASS_NAME_FOOTER_MD_FIXED = 'layout-md-footer-fixed'\nconst CLASS_NAME_FOOTER_LG_FIXED = 'layout-lg-footer-fixed'\nconst CLASS_NAME_FOOTER_XL_FIXED = 'layout-xl-footer-fixed'\n\nconst Default = {\n  controlsidebarSlide: true,\n  scrollbarTheme: 'os-theme-light',\n  scrollbarAutoHide: 'l',\n ...

 * iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs

* **Uvicorn**:
    * Terá a melhor performance, já que ele não tem muito código extra além do servidor em si.
    * Você não conseguiria escrever uma aplicação em Uvicorn diretamente. Isso significa que seu código deveria conter, mais ou menos, todo o código fornecido pelo Starlette (ou **FastAPI**). E se você fizesse isso, sua aplicação final poderia ter a mesma sobrecarga que utilizar um _framework_ que minimiza o código e _bugs_ da sua aplicação.

 * iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs

    checkNotNull(target, "target");
    if (target.length == 0) {
      return 0;
    }

    outer:
    for (int i = 0; i < array.length - target.length + 1; i++) {
      for (int j = 0; j < target.length; j++) {
        if (array[i + j] != target[j]) {
          continue outer;
        }
      }
      return i;
    }
    return -1;
  }

  /**

    checkNotNull(target, "target");
    if (target.length == 0) {
      return 0;
    }

    outer:
    for (int i = 0; i < array.length - target.length + 1; i++) {
      for (int j = 0; j < target.length; j++) {
        if (array[i + j] != target[j]) {
          continue outer;
        }
      }
      return i;
    }
    return -1;
  }

  /**

### Certificate Directory

   * copying the CharSequence to a String and then calling getBytes(Charset) on that String, in
   * reality there are optimizations that make the getBytes(Charset) approach considerably faster,
   * at least for commonly used charsets like UTF-8.
   */

  @Override
  @CanIgnoreReturnValue
  public final Hasher putByte(byte b) {
    buffer.put(b);
    munchIfFull();
    return this;
  }

    b ^= b >>> 47;
    b *= K3;
    return b;
  }

  /**
   * Computes intermediate hash of 32 bytes of byte array from the given offset. Results are
   * returned in the output array - this is 12% faster than allocating new arrays every time.
   */
  private static void weakHashLength32WithSeeds(
      byte[] bytes, int offset, long seedA, long seedB, long[] output) {
    long part1 = load64(bytes, offset);