Bucket: bucket,
				Object: object,
			}
		}
		return err
	}

	googleAPIErr, ok := err.(*googleapi.Error)
	if !ok {
		// We don't interpret non MinIO errors. As minio errors will
		// have StatusCode to help to convert to object errors.
		return err
	}

	if len(googleAPIErr.Errors) == 0 {
		return err
	}

	reason := googleAPIErr.Errors[0].Reason
	message := googleAPIErr.Errors[0].Message

					n, _ := io.Copy(io.Discard, r.Body)
					if n == 0 {
						t.Error("body length is zero")
					}
					if roundTripped {
						return &Response{
							Body:       NoBody,
							StatusCode: 200,
						}, nil
					}
					roundTripped = true
					return nil, http2noCachedConnError{}
				})
			},
		},
		DialTLS: func(_, _ string) (net.Conn, error) {

	)

	resp, err := s.http.Do(req)
	if err != nil {
		return nil, cancel, "", fmt.Errorf("error scraping %s: %v", url, err)
	}
	if resp.StatusCode != http.StatusOK {
		resp.Body.Close()
		return nil, cancel, "", fmt.Errorf("error scraping %s, status code: %v", url, resp.StatusCode)
	}
	format := resp.Header.Get("Content-Type")
	return resp.Body, cancel, format, nil
}

  const absl::StatusOr<std::optional<SaverDef>> saver_def =
      CreateSaverDef(control_ret_node_names, graph_def);
  EXPECT_THAT(
      saver_def,
      StatusIs(
          absl::StatusCode::kInternal,
          HasSubstr(
              "should be either all empty strings or all non-empty strings")));
}

// Testing ConvertMlirModuleToExportedModel requires parsing MLIR string to
// ModuleOp.

	if err != nil {
		return nil, err
	}

	resp, err := c.clnt.Do(req)
	if err != nil {
		return nil, err
	}
	defer xhttp.DrainBody(resp.Body)

	switch resp.StatusCode {
	case http.StatusNotFound:
		return nil, ErrKeyMissing
	case http.StatusOK:
		co := &ObjectInfo{}
		return co, co.DecodeMsg(msgp.NewReader(resp.Body))
	default:
		return nil, ErrInvalidArgument
	}

    GraphdefToSplattedMlirTranslateFunction);

static Status CompileGraph(tensorflow::Graph* graph,
                           xla::CompileOnlyClient* client) {
  if (!graph || !client) {
    return Status(absl::StatusCode::kInvalidArgument,
                  "Invalid graph or client");
  }

  tensorflow::FunctionDefLibrary flib;
  auto flib_def = std::make_unique<tensorflow::FunctionLibraryDefinition>(

     */
    void expectPut(String path, File destFile, int statusCode = HttpStatus.OK_200, PasswordCredentials credentials = null, long expectedContentLength = -1) {
        def action = new ActionSupport("write request to $destFile.name (content length: $expectedContentLength) and return status $statusCode") {
            void handle(HttpServletRequest request, HttpServletResponse response) {

		t.Helper()
		res, err := c.Do(req)
		if err != nil {
			t.Fatalf("%s: Do: %v", name, err)
		}
		if res.StatusCode != wantCode {
			t.Fatalf("%s: Response Statuscode=%d; want %d", name, res.StatusCode, wantCode)
		}
		if id, idBack := req.Header.Get("Request-Id"), res.Header.Get("Echo-Request-Id"); id != "" && id != idBack {

  ASSERT_TRUE(succeeded(run_result));

  // The report file is not created because `QuantizeCompositeFunctionsPass` was
  // not run.
  EXPECT_THAT(ReadFileToString(report_file_path),
              StatusIs(absl::StatusCode::kNotFound));
}

TEST_F(SaveQuantizationReportInstrumentationTest,
       ReportNotSavedWhenReportFilePathIsNullopt) {
  constexpr absl::string_view kModuleWithCompositeDotGeneral = R"mlir(

### Den Error zurückgeben

Nachdem Sie festgestellt haben, dass die Anmeldeinformationen falsch sind, geben Sie eine `HTTPException` mit dem Statuscode 401 zurück (derselbe, der auch zurückgegeben wird, wenn keine Anmeldeinformationen angegeben werden) und fügen den Header `WWW-Authenticate` hinzu, damit der Browser die Anmeldeaufforderung erneut anzeigt:

=== "Python 3.9+"