const char* TF_OperationName(TF_Operation* oper) {
  return oper->node.name().c_str();
}

const char* TF_OperationOpType(TF_Operation* oper) {
  return oper->node.type_string().c_str();
}

const char* TF_OperationDevice(TF_Operation* oper) {
  return oper->node.requested_device().c_str();
}

int TF_OperationNumOutputs(TF_Operation* oper) {
  return oper->node.num_outputs();
}

  bool found_neg = false;
  size_t pos = 0;
  TF_Operation* oper;
  while ((oper = TF_GraphNextOperation(graph, &pos)) != nullptr) {
    if (oper == feed) {
      EXPECT_FALSE(found_placeholder);
      found_placeholder = true;
    } else if (oper == three) {
      EXPECT_FALSE(found_scalar_const);
      found_scalar_const = true;
    } else if (oper == add) {
      EXPECT_FALSE(found_add);
      found_add = true;

  TF_DeleteBuffer(buffer);
  TF_DeleteStatus(s);
  return ret;
}

bool GetNodeDef(TF_Operation* oper, tensorflow::NodeDef* node_def) {
  TF_Status* s = TF_NewStatus();
  TF_Buffer* buffer = TF_NewBuffer();
  TF_OperationToNodeDef(oper, buffer, s);
  bool ret = TF_GetCode(s) == TF_OK;
  EXPECT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

-ytinummoc,?p&h21,iog:ol,,ohsdaerpsym,?r&e&ntrapdeeps.remotsuc,su&-lautriv,lautriv,?t&adpusnd,tub-ni,uor-ym,?vres&-e&bucl,mohym,?bew-emoh:.nyd,,luhcs,??ogiv-&niem,ym,??s&d-&onys,ygolonys,?nd&-&dd,nufiat,sehcsimanyd,tenretni,yard,?isoc.nyd,ps,yard,?oper-&nvs,tig,?sndd:.&nyd,sndnyd,?,?vresi-&niem,tset,?xi2,y&awetag-&llawerif,ym,?m,srab,tic-amil,?zten&mitbel,sadtretteuf,??art?i&sdoow?ug??on--nx??e!.&bil?dem?eif?gro?irp?kiir?moc?pia?ude?vog??ei?ffoc?gg?r&f?ged???f&a&c?s??il??g!.&gro?loohcs?moc?t&en?...

    client ->> dep_req: Startet den Request
    Note over dep_req: Führt den Code bis zum yield aus
    dep_req ->> dep_func: Reicht Abhängigkeit weiter
    Note over dep_func: Führt den Code bis zum yield aus
    dep_func ->> operation: Führt Pfadoperation mit Abhängigkeit aus
    operation ->> dep_func: Kehrt aus Pfadoperation zurück
    Note over dep_func: Führt Code nach yield aus
    Note over dep_func: ✅ Abhängigkeit geschlossen

    client ->> dep_req: Start request
    Note over dep_req: Run code up to yield
    dep_req ->> dep_func: Pass dependency
    Note over dep_func: Run code up to yield
    dep_func ->> operation: Run path operation with dependency
    operation ->> dep_func: Return from path operation
    Note over dep_func: Run code after yield
    Note over dep_func: ✅ Dependency closed
    dep_func ->> client: Send response to client

```Python
with open("file.txt") as file:
    file.read()
```

In neueren Versionen von Python gibt es auch einen **asynchronen Kontextmanager**. Sie würden ihn mit `async with` verwenden:

```Python
async with lifespan(app):
    await do_stuff()
```

   */
  open fun requestHeadersStart(call: Call) {
  }

  /**
   * Invoked immediately after sending request headers.
   *
   * This method is always invoked after [requestHeadersStart].
   *
   * @param request the request sent over the network. It is an error to access the body of this
   *     request.
   */
  open fun requestHeadersEnd(
    call: Call,

{* ../../docs_src/events/tutorial003_py39.py hl[1,13] *}

A **context manager** in Python is something that you can use in a `with` statement, for example, `open()` can be used as a context manager:

```Python
with open("file.txt") as file:
    file.read()
```

In recent versions of Python, there's also an **async context manager**. You would use it with `async with`:

```Python

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