*/
  static BigInteger randomNonNegativeBigInteger(int numBits) {
    int digits = RANDOM_SOURCE.nextInt(numBits);
    if (digits == 0) {
      return new BigInteger(1, RANDOM_SOURCE);
    } else {
      return new BigInteger(digits, RANDOM_SOURCE).setBit(digits);
    }
  }

  /**
   * Equivalent to calling randomPositiveBigInteger(numBits) and then flipping the sign with 50%

   * do double-duty to make sure the counting and content are consistent, particularly when it comes
   * to awkward operations like measuring the encoded length of header strings, or the
   * length-in-digits of an encoded integer.
   */
  private fun writeOrCountBytes(
    sink: BufferedSink?,
    countBytes: Boolean,
  ): Long {
    var byteCount = 0L
    val buffer: Buffer = if (countBytes) Buffer() else sink!!.buffer

   *
   * <p>Unlike {@link Integer#parseInt(String)}, this method returns {@code null} instead of
   * throwing an exception if parsing fails. Additionally, this method only accepts ASCII digits,
   * and returns {@code null} if non-ASCII digits are present in the string.
   *
   * <p>Note that strings prefixed with ASCII {@code '+'} are rejected, even though {@link
   * Integer#parseInt(String)} accepts them.
   *

        protocol = Protocol.HTTP_1_1
        codeStart = 12
      } else {
        throw ProtocolException("Unexpected status line: $statusLine")
      }

      // Parse response code like "200". Always 3 digits.
      if (statusLine.length < codeStart + 3) {
        throw ProtocolException("Unexpected status line: $statusLine")
      }
      val code =
        statusLine.substring(codeStart, codeStart + 3).toIntOrNull()

 *
 * This matches IPv6 addresses as a hex string containing at least one colon, and possibly
 * including dots after the first colon. It matches IPv4 addresses as strings containing only
 * decimal digits and dots. This pattern matches strings like "a:.23" and "54" that are neither IP
 * addresses nor hostnames; they will be verified as IP addresses (which is a more strict
 * verification).
 */

    checkFromStringCase("[2001::2]:85", 77, "2001::2", 85, true);
  }

  public void testFromStringNonAsciiDigits() {
    // Same as testFromStringUnusedDefaultPort but with Gujarati digits for port numbers.
    checkFromStringCase("gmail.com:૮1", 77, null, -1, false);
    checkFromStringCase("192.0.2.2:૮૩", 77, null, -1, false);
    checkFromStringCase("[2001::2]:૮૫", 77, null, -1, false);
  }

    checkFromStringCase("[2001::2]:85", 77, "2001::2", 85, true);
  }

  public void testFromStringNonAsciiDigits() {
    // Same as testFromStringUnusedDefaultPort but with Gujarati digits for port numbers.
    checkFromStringCase("gmail.com:૮1", 77, null, -1, false);
    checkFromStringCase("192.0.2.2:૮૩", 77, null, -1, false);
    checkFromStringCase("[2001::2]:૮૫", 77, null, -1, false);
  }

      for (int i = n1 + 1; i <= n2; i++) {
        result *= i;
      }
      return BigInteger.valueOf(result);
    }

    /*
     * We want each multiplication to have both sides with approximately the same number of digits.
     * Currently, we just divide the range in half.
     */
    int mid = (n1 + n2) >>> 1;
    return oldSlowFactorial(n1, mid).multiply(oldSlowFactorial(mid, n2));
  }

  @Benchmark

constraints.AssertTrue.message = {item} musi być prawdziwe.
constraints.DecimalMax.message = {item} musi być mniejsze niż {value}.
constraints.DecimalMin.message = {item} musi być większe niż {value}.
constraints.Digits.message = {item} musi być liczbą. (Oczekiwano: <liczba>.<liczba>)
constraints.Future.message = {item} musi być wartością przyszłą.
constraints.Max.message = {item} musi być mniejsze lub równe {value}.

     * and the arithmetic mean is always higher than the geometric mean.
     *
     * b) this iteration converges to floor(sqrt(x)). In fact, the number of correct digits doubles
     * with each iteration, so this algorithm takes O(log(digits)) iterations.
     *
     * We start out with a double-precision approximation, which may be higher or lower than the