}

  private static String paramString(Class<?> type, int i) {
    return type.getSimpleName() + '@' + i;
  }

  /**
   * Annotates a method to be the instance generator of a certain type. The return type is the
   * generated type. The method parameters correspond to the generated type's type parameters. For

        "properties" : {
          "createdBy" : {
            "type" : "keyword"
          },
          "createdTime" : {
            "type" : "long"
          },
          "fileConfigId" : {
            "type" : "keyword"
          },
          "hostname" : {
            "type" : "keyword"
          },
          "parameters" : {
            "type" : "keyword"
          },
          "password" : {

        "properties" : {
          "createdBy" : {
            "type" : "keyword"
          },
          "createdTime" : {
            "type" : "long"
          },
          "excludedPaths" : {
            "type" : "keyword"
          },
          "includedPaths" : {
            "type" : "keyword"
          },
          "name" : {
            "type" : "keyword"
          },
          "permissions" : {

                        "required": ["loc", "msg", "type"],
                        "type": "object",
                        "properties": {
                            "loc": {
                                "title": "Location",
                                "type": "array",
                                "items": {
                                    "anyOf": [{"type": "string"}, {"type": "integer"}]
                                },

    return msg


def test_main_depends():
    response = client.get("/main-depends/")
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["query", "q"],
                "msg": "Field required",
                "input": None,
            }
        ]
    }


def test_main_depends_q_foo():

O Python possui suporte para "type hints" opcionais (também chamados de "type annotations").

Esses **"type hints"** ou anotações são uma sintaxe especial que permite declarar o <dfn title="por exemplo: str, int, float, bool">tipo</dfn> de uma variável.

Ao declarar tipos para suas variáveis, editores e ferramentas podem oferecer um melhor suporte.

pkg syscall (freebsd-386-cgo), type FdSet struct, X__fds_bits [32]uint32
pkg syscall (freebsd-386-cgo), type Flock_t struct
pkg syscall (freebsd-386-cgo), type Flock_t struct, Len int64
pkg syscall (freebsd-386-cgo), type Flock_t struct, Pid int32
pkg syscall (freebsd-386-cgo), type Flock_t struct, Start int64
pkg syscall (freebsd-386-cgo), type Flock_t struct, Sysid int32

You can declare the type used for the response by annotating the *path operation function* **return type**.

You can use **type annotations** the same way you would for input data in function **parameters**, you can use Pydantic models, lists, dictionaries, scalar values like integers, booleans, etc.

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

FastAPI will use this return type to:

    Artifact createArtifact(String groupId, String artifactId, String version, String scope, String type);

    Artifact createArtifactWithClassifier(
            String groupId, String artifactId, String version, String type, String classifier);

    Artifact createDependencyArtifact(
            String groupId, String artifactId, VersionRange versionRange, String type, String classifier, String scope);

    Artifact createDependencyArtifact(

        streamId = streamId,
        length = 4,
        type = TYPE_WINDOW_UPDATE,
        flags = FLAG_NONE,
      )
      sink.writeInt(windowSizeIncrement.toInt())
      sink.flush()
    }
  }

  @Throws(IOException::class)
  fun frameHeader(
    streamId: Int,
    length: Int,
    type: Int,
    flags: Int,
  ) {
    if (type != TYPE_WINDOW_UPDATE && logger.isLoggable(FINE)) {