```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["header", "tool"],
            "msg": "Extra inputs are not permitted",
            "input": "plumbus",
        }
    ]
}
```

## Summary

              ],
              "traffic_direction": "INBOUND",
              "internal_listener": {},
              "filter_chain_matcher": {
                "matcher_tree": {
                  "input": {
                    "name": "ip",
                    "typed_config": {
                      "@type": "type.googleapis.com/envoy.extensions.matching.common_inputs.network.v3.DestinationIPInput"
                    }

    requests with the actual input and output keys used by the trainer code, or
    conversely, update the trainer code to name the input and output Tensors
    'inputs' and 'outputs', respectively. Signatures using the 'classify' and
    'regress' methods are not affected by this change; they will continue to
    standardize their input and output keys as before.
*   Add in-memory caching to the Dataset API.

                {
                    "type": "string_pattern_mismatch",
                    "loc": ["query", "item-query"],
                    "msg": "String should match pattern '^fixedquery$'",
                    "input": "nonregexquery",
                    "ctx": {"pattern": "^fixedquery$"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

                {
                    "type": "string_pattern_mismatch",
                    "loc": ["query", "item-query"],
                    "msg": "String should match pattern '^fixedquery$'",
                    "input": "nonregexquery",
                    "ctx": {"pattern": "^fixedquery$"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

                                    <div class="col-sm-9">
                                        <la:errors property="attributes.gidNumber"/>
                                        <input type="number" id="attributes.gidNumber" name="attributes.gidNumber" class="form-control"/>
                                    </div>
                                </div>
                            </div>

   * place, or a different list.
   *
   * <p>If the order is non-deterministic, as with {@link java.util.HashSet}, this method can return
   * its input unmodified. Provided that the test suite is built without {@link
   * com.google.common.collect.testing.features.CollectionFeature#KNOWN_ORDER}, the tests will look
   * only at the returned contents without regard for order.
   */

     * @return the user's home directory path, or null if not set
     */
    @Nullable
    Path userHome();

    /**
     * Returns the input stream to be used for the Maven execution.
     * If not set, System.in will be used by default.
     *
     * @return the input stream, or null if not set
     */
    @Nullable
    InputStream in();

    /**

  Iterator<C> createColumnKeyIterator() {
    Comparator<? super C> comparator = columnComparator();

    Iterator<C> merged =
        mergeSorted(
            transform(backingMap.values(), (Map<C, V> input) -> input.keySet().iterator()),
            comparator);

    return new AbstractIterator<C>() {
      @CheckForNull C lastValue;

      @Override
      @CheckForNull
      protected C computeNext() {

```JSON
{
  "detail": [
    {
      "type": "int_parsing",
      "loc": [
        "path",
        "item_id"
      ],
      "msg": "Input should be a valid integer, unable to parse string as an integer",
      "input": "foo",
      "url": "https://errors.pydantic.dev/2.1/v/int_parsing"
    }
  ]
}
```

Der Pfad-Parameter `item_id` hatte den Wert `"foo"`, was kein `int` ist.