tagClass: Int,
    tag: Long,
    block: (BufferedSink) -> Unit,
  ) {
    val constructedBit: Int
    val content = Buffer()

    stack.add(content)
    constructed = false // The enclosed object written in block() is not constructed.
    path += name
    try {
      block(content)
      constructedBit = if (constructed) 0b0010_0000 else 0
      constructed = true // The enclosing object is constructed.

Mas o Pydantic tem conversão automática de dados.

Isso significa que, embora os clientes da API só possam enviar strings como chaves, desde que essas strings contenham inteiros puros, o Pydantic irá convertê-los e validá-los.

E o `dict` que você recebe como `weights` terá, na verdade, chaves `int` e valores` float`.

///

## Recapitulação

}
addConfigOpts () {
  dlog "[addConfigOpts] arg = '$*'"
  for item in $*
  do
    addJava "$item"
  done
}
# a ham-fisted attempt to move some memory settings in concert
# so they need not be messed around with individually.
get_mem_opts () {
  local mem=${1:-1024}
  local meta=$(( $mem / 4 ))
  (( $meta > 256 )) || meta=256
  (( $meta < 1024 )) || meta=1024

      return new MockResponse()
          .setStatus("HTTP/1.1 404")
          .addHeader("content-type: text/plain; charset=utf-8")
          .setBody("NOT FOUND: " + path);
    } catch (IOException e) {
      return new MockResponse()
          .setStatus("HTTP/1.1 500")
          .addHeader("content-type: text/plain; charset=utf-8")
          .setBody("SERVER ERROR: " + e);
    }
  }

                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

@app.get(
    "/a",
    response_class=Response,
    responses={500: {"description": "Error", "model": JsonApiError}},
)
async def a():
    pass  # pragma: no cover


@app.get("/b", responses={500: {"description": "Error", "model": Error}})
async def b():
    pass  # pragma: no cover


client = TestClient(app)


def test_openapi_schema():
    response = client.get("/openapi.json")

    @Override
    @SuppressWarnings("unchecked")
    public void execute(ViolationCheckContextWithViolations context) {
        Set<ApiChange> acceptedApiChanges = (Set<ApiChange>) context.getUserData().get("acceptedApiChanges");
        Set<ApiChange> seenApiChanges = (Set<ApiChange>) context.getUserData().get("seenApiChanges");
        Set<ApiChange> left = new HashSet<>(acceptedApiChanges);
        left.removeAll(seenApiChanges);

    validations:
      required: false
  - type: textarea
    id: context
    attributes:
      label: Context
      description: |
        How has this issue affected you? What are you trying to accomplish? What other alternatives have you considered?
        Providing context helps us come up with a solution that is most useful in the real world
    validations:

        Please describe the problem as concisely as possible.
    validations:
      required: true
  - type: textarea
    id: context
    attributes:
      label: Context (optional)
      description: |
        How has this issue affected you? What are you trying to accomplish?
        Providing context helps us come up with a solution that is most useful in the real world
    validations:
      required: false
  - type: input

                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {