IE11\n  try {\n    if (isIE(10)) {\n      rect = element.getBoundingClientRect();\n      const scrollTop = getScroll(element, 'top');\n      const scrollLeft = getScroll(element, 'left');\n      rect.top += scrollTop;\n      rect.left += scrollLeft;\n      rect.bottom += scrollTop;\n      rect.right += scrollLeft;\n    }\n    else {\n      rect = element.getBoundingClientRect();\n    }\n  }\n  catch(e){}\n\n  const result = {\n    left: rect.left,\n    top: rect.top,\n    width: rect.right - rect.left,\n...

		switch v := txedRec.(type) {
		case jstream.KVS:
			kvs = v

		case []interface{}:
			recs := make([]*Record, len(v))
			for i, val := range v {
				tmpRec := input.Clone(nil)
				if err = tmpRec.Replace(val); err != nil {
					return nil, err
				}
				recs[i] = &tmpRec
			}
			return recs, nil

		default:
			kvs = jstream.KVS{jstream.KV{Key: "_1", Value: v}}
		}

			if err != nil {
				t.Fatalf("parse failed!: %d %v %s", i, err, tc)
			}

			// Read only the first json object from the file
			recs, err := getJSONStructs(b)
			if err != nil || len(recs) != 3 {
				t.Fatalf("%v or length was not 3", err)
			}

			for j, rec := range recs {
				// fmt.Println(rec)
				r, _, err := jsonpathEval(jp.PathExpr, rec)
				if err != nil {
					t.Errorf("Error: %d %d %v", i, j, err)
				}

participant code as Code
participant function as say_hi()
participant execute as Funktion ausgeführt

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: führe Code der Funktion aus
        execute ->> code: gib das Resultat zurück
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")

participant execute as Execute function

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: execute function code
        execute ->> code: return the result
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")
        function ->> code: return stored result
    end

    rect rgba(0, 255, 0, .1)

participant execute as Execute function

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: execute function code
        execute ->> code: return the result
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")
        function ->> code: return stored result
    end

    rect rgba(0, 255, 0, .1)

## **FastAPI** auf GitHub einen Stern geben

Sie können FastAPI auf GitHub „starren“ (durch Klicken auf den Stern-Button oben rechts): <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">https://github.com/tiangolo/fastapi</a>. ⭐️

participant execute as Execute function

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: 执行函数代码
        execute ->> code: 返回结果
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")
        function ->> code: 返回存储的结果
    end

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Rick")

                         tensorflow::FunctionLibraryDefinition* flib_def,
                         std::vector<std::string>* control_ret_node_names,
                         bool* control_rets_updated) override {
    // Inject failure to function instantiation if finding a node that contains
    // the given node name (error_node_) and requested device (error_device_).
    for (const auto node : graph->get()->nodes()) {

  // CPU tensor to GPU).
  // Setting a larger thread pool does not help with the Swift caller, as we use
  // a different TFE context for each thread of execution (for running graph
  // functions, and their send/recvs corountines).
  config.set_inter_op_parallelism_threads(1);

  TF_Buffer* ret = TF_NewBuffer();
  TF_CHECK_OK(MessageToBuffer(config, ret));
  return ret;
}