from pydantic.fields import (  # type: ignore[no-redef,attr-defined]
        ModelField as ModelField,  # noqa: F401
    )

    # Keeping old "Required" functionality from Pydantic V1, without
    # shadowing typing.Required.
    RequiredParam: Any = Ellipsis  # type: ignore[no-redef]
    from pydantic.fields import (  # type: ignore[no-redef,attr-defined]
        Undefined as Undefined,
    )

            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": null
              },
              {
                "color": "semi-dark-red",
                "value": 80
              }
            ]
          }
        },
        "overrides": []
      },
      "gridPos": {
        "h": 6,
        "w": 12,
        "x": 0,
        "y": 0

            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": null
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "bytes"
        },
        "overrides": [
          {
            "matcher": {

    assertEquals(2, ms.count(Color.RED));
  }

  public void testCollectionCreate() {
    Multiset<Color> ms = EnumMultiset.create(asList(Color.RED, Color.YELLOW, Color.RED));
    assertEquals(0, ms.count(Color.BLUE));
    assertEquals(1, ms.count(Color.YELLOW));
    assertEquals(2, ms.count(Color.RED));
  }

  public void testIllegalCreate() {
    Collection<Color> empty = EnumSet.noneOf(Color.class);

            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": null
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "bytes"
        },
        "overrides": [
          {
            "matcher": {

## Zusätzliche Response mit `model`

Sie können Ihren *Pfadoperation-Dekoratoren* einen Parameter `responses` übergeben.

Der nimmt ein `dict` entgegen, die Schlüssel sind Statuscodes für jede Response, wie etwa `200`, und die Werte sind andere `dict`s mit den Informationen für jede Response.

Jedes dieser Response-`dict`s kann einen Schlüssel `model` haben, welcher ein Pydantic-Modell enthält, genau wie `response_model`.

            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": null
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "short"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 8,

            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": null
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "short"
        },
        "overrides": [
          {
            "matcher": {

detailed output with `-v` option:
```bash
cat input.json | jstream -v -d -1

depth	start	end	type   | value
2	018	023	string | "RGB"
3	041	046	string | "red"
3	048	055	string | "green"
3	057	063	string | "blue"
2	039	065	array  | ["red","green","blue"]
1	004	069	object | {"colors":["red","green","blue"],"desc":"RGB"}
2	087	093	string | "CMYK"
3	111	117	string | "cyan"
3	119	128	string | "magenta"
3	130	138	string | "yellow"

            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": null
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "short"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 8,