lineNo    int
	lineStart int64
}

// NewDecoder creates new Decoder to read JSON values at the provided
// emitDepth from the provider io.Reader.
// If emitDepth is < 0, values at every depth will be emitted.
func NewDecoder(r io.Reader, emitDepth int) *Decoder {
	d := &Decoder{
		scanner:   newScanner(r),
		emitDepth: emitDepth,
		scratch:   &scratch{data: make([]byte, 1024)},

     * StringUtils.isAsciiPrintable("Ceki G\u00fclc\u00fc") = false
     * </pre>
     *
     * @param cs the CharSequence to check, may be null
     * @return {@code true} if every character is in the range 32 thru 126
     */
    public static boolean isAsciiPrintable(final CharSequence cs) {
        if (cs == null) {
            return false;
        }
        final int sz = cs.length();

        } finally {
            // MNG-4543
            cleanupTemporaryFiles(temporaryFiles);

            // Remove every checksum listener
            for (String id : CHECKSUM_IDS) {
                TransferListener checksumListener = checksums.get(id);
                if (checksumListener != null) {

If your PR includes any changes to the Gradle Public API, it will cause the binary compatibility check to fail.
The binary compatibility check runs as a part of the broader sanity check.
The latter runs on every PR and is a prerequisite for merging.

If you run the sanity check locally with the `./gradlew sanityCheck`, you can see the binary compatibility error in the output.
It looks like the following:

```

     * guess with an application of Newton's method, which sets guess := (guess + (x / guess)) / 2.
     * This iteration has the following two properties:
     *
     * a) every iteration (except potentially the first) has guess >= floor(sqrt(x)). This is
     * because guess' is the arithmetic mean of guess and x / guess, sqrt(x) is the geometric mean,

   * @return an array containing all of the elements in this queue
   * @throws ArrayStoreException if the runtime type of the specified array is not a supertype of
   *     the runtime type of every element in this queue
   * @throws NullPointerException if the specified array is null
   */
  @CanIgnoreReturnValue
  @Override
  public <T> T[] toArray(T[] a) {
    E[] items = this.items;

      } catch (Throwable e) {
        throw sanityError(classToTest, NULL_TEST_METHOD_NAMES, "nulls test", e);
      }
    }
  }

  /**
   * Tests {@code equals()} and {@code hashCode()} implementations for every top-level class in the
   * package, that explicitly implements {@link Object#equals}. For a class {@code C}:
   *
   * <ul>
   *   <li>The visible constructor or visible static factory method with the most parameters is used

   */
  static void checkNo2BitCharacteristics(HashFunction function) {
    Random rand = new Random(0);
    int keyBits = 32;

    // get every one of (keyBits choose 2) deltas:
    for (int i = 0; i < keyBits; i++) {
      for (int j = 0; j < keyBits; j++) {
        if (j <= i) continue;
        int count = 0;

If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly).

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

```Python