if (newArg == null || Objects.equals(args.get(i), newArg)) {
        if (params.get(i).getType().getRawType().isEnum()) {
          continue; // Nothing better we can do if it's single-value enum
        }
        throw new ParameterHasNoDistinctValueException(params.get(i));
      }
      newArgs.set(i, newArg);
      tester.addEqualityGroup(createInstance(factory, newArgs));

Just standard **Python**.

For example, for an `int`:

```Python
item_id: int
```

or for a more complex `Item` model:

```Python
item: Item
```

...and with that single declaration you get:

* Editor support, including:
    * Completion.
    * Type checks.
* Validation of data:
    * Automatic and clear errors when the data is invalid.

        // Test with empty map and whitespace config
        paramMap = new HashMap<>();
        ParameterUtil.loadConfigParams(paramMap, "   \n  ");
        assertEquals(0, paramMap.size());

        // Test loading single parameter
        paramMap = new HashMap<>();
        configParam = "key1=value1";
        ParameterUtil.loadConfigParams(paramMap, configParam);
        assertEquals(1, paramMap.size());

            return this;
        }

        @Override
        public ApiResult result() {
            return new ApiResult(this);
        }
    }

    /**
     * Represents an API response for a single document.
     */
    public static class ApiDocResponse extends ApiResponse {
        /**
         * Constructs an empty ApiDocResponse.
         */
        public ApiDocResponse() {
            // NOP

   *       {@code key1=A&key1=B&key2=C}.
   *   <li>To output a single entry for each key, pass {@code multimap.asMap()} to a {@code
   *       MapJoiner} method that accepts a map as input, and receive output of the form {@code
   *       key1=[A, B]&key2=C}.
   * </ul>
   *
   * @since 2.0
   */
  public static final class MapJoiner {
    private final Joiner joiner;

   *
   * <p><b>Discouraged</b> in favor of calling {@link #throwIfInstanceOf} and {@link
   * #throwIfUnchecked}.
   *
   * @param throwable the Throwable to possibly propagate
   * @param declaredType the single checked exception type declared by the calling method
   * @deprecated Use a combination of {@link #throwIfInstanceOf} and {@link #throwIfUnchecked},

      return this;
    }

    /**
     * {@inheritDoc}
     *
     * @since 11.0
     */
    @CanIgnoreReturnValue
    @Override
    public Builder<K, V> put(Entry<? extends K, ? extends V> entry) {
      super.put(entry);
      return this;
    }

    /**
     * {@inheritDoc}
     *
     * @since 19.0
     */
    @CanIgnoreReturnValue
    @Override

   *
   * This is true if either 'expires' or 'max-age' is present.
   */
  @get:JvmName("persistent") val persistent: Boolean,
  /**
   * Returns true if this cookie's domain should be interpreted as a single host name, or false if
   * it should be interpreted as a pattern. This flag will be false if its `Set-Cookie` header
   * included a `domain` attribute.
   *

	modTimes := listObjectModtimes(partsMetadata, errs)

	// Count all latest updated FileInfo values
	var count int
	var latestFileInfo FileInfo

	// Reduce list of UUIDs to a single common value - i.e. the last updated Time
	modTime := commonTime(modTimes, expectedRQuorum)

	if modTime.IsZero() || modTime.Equal(timeSentinel) {
		return FileInfo{}, errErasureReadQuorum
	}

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