O mesmo erro apareceria se você tivesse fornecido um `float` ao invés de um `int`, como em: <a href="http://127.0.0.1:8000/items/4.2" class="external-link" target="_blank">http://127.0.0.1:8000/items/4.2</a>

/// check | "Verifique"



///

	Então, com a mesma declaração de tipo do Python, o **FastAPI** dá pra você validação de dados.

  // still succeed if there are no other errors, and will only persist
  // the last of any duplicate fields. This is the default in v1.23+
  // - Strict: This will fail the request with a BadRequest error if
  // any unknown fields would be dropped from the object, or if any
  // duplicate fields are present. The error returned from the server
  // will contain all unknown and duplicate fields encountered.

            ]
          },
          "unit": "none"
        },
        "overrides": [
          {
            "matcher": {
              "id": "byName",
              "options": "S3 Errors"
            },
            "properties": [
              {
                "id": "color",
                "value": {
                  "fixedColor": "light-red",
                  "mode": "fixed"

        handler -->> client: HTTP error response
    end
    dep ->> operation: Run dependency, e.g. DB session
    opt raise
        operation -->> dep: Raise Exception (e.g. HTTPException)
        opt handle
            dep -->> dep: Can catch exception, raise a new HTTPException, raise other exception
        end
        handler -->> client: HTTP error response
    end

			hdr     Header
			wantErr error
		}
		testWrite struct { // Write(str) == (wantCnt, wantErr)
			str     string
			wantCnt int
			wantErr error
		}
		testReadFrom struct { // ReadFrom(testFile{ops}) == (wantCnt, wantErr)
			ops     fileOps
			wantCnt int64
			wantErr error
		}
		testClose struct { // Close() == wantErr
			wantErr error
		}

  if (!tensorflow::protobuf::TextFormat::ParseFromString(text_proto, &gdef)) {
    status->status = tensorflow::errors::Internal(
        "Invalid text proto for GraphDef: ", text_proto);
    return {};
  }
  const auto& fdef_lib = gdef.library();
  if (fdef_lib.gradient_size() > 0) {
    status->status = tensorflow::errors::Internal(
        "GradientDef is not supported in reading Dataset related functions: ",
        text_proto);

                + "(" + result.getPomFile() + ") has "
                + children.size() + " error" + (children.size() == 1 ? "" : "s");

        return new ExceptionSummary(null, message, null, children);
    }

    private ExceptionSummary handle(ModelProblem problem, String projectId) {
        if (ModelProblem.Severity.ERROR.compareTo(problem.getSeverity()) >= 0) {
            String message = problem.getMessage();

			// If there is a disconnection before globalNetPerfMinDuration (we give a margin of error of 1 sec)
			// would mean the network is not stable. Logging here will help in debugging network issues.
			if time.Since(connectTime) < (globalNetPerfMinDuration - time.Second) {
				adminLogIf(ctx, err)
			}
		}
		if err != nil {
			if errors.Is(err, io.EOF) {
				w.WriteHeader(http.StatusNoContent)
			} else {

        dep -->> handler: Raise HTTPException
        handler -->> client: HTTP error response
        dep -->> dep: Raise other exception
    end
    dep ->> operation: Run dependency, e.g. DB session
    opt raise
        operation -->> dep: Raise HTTPException
        dep -->> handler: Auto forward exception
        handler -->> client: HTTP error response
        operation -->> dep: Raise other exception

pkg syscall (freebsd-riscv64), func Setegid(int) error #53466
pkg syscall (freebsd-riscv64), func Seteuid(int) error #53466
pkg syscall (freebsd-riscv64), func Setgid(int) error #53466
pkg syscall (freebsd-riscv64), func Setgroups([]int) error #53466
pkg syscall (freebsd-riscv64), func Setlogin(string) error #53466
pkg syscall (freebsd-riscv64), func Setpgid(int, int) error #53466