client, err := c.newMuxClient(ctx)
	if err != nil {
		return err
	}
	defer c.outgoing.Delete(client.MuxID)
	resp := make(chan Response, 10)
	client.RequestStateless(h, req, resp)

	for r := range resp {
		if r.Err != nil {
			return r.Err
		}
		if len(r.Msg) > 0 {
			err := cb(r.Msg)
			if err != nil {
				if errors.Is(err, ErrDone) {
					break

But if you need to access variables and objects from the same **FastAPI** app, or you need to perform small background tasks (like sending an email notification), you can simply just use `BackgroundTasks`.

## Recap

You could also use it to generate code automatically, for clients that communicate with your API. For example, frontend, mobile or IoT applications.

## Recap, step by step

### Step 1: import `FastAPI`

{* ../../docs_src/first_steps/tutorial001.py hl[1] *}

`FastAPI` is a Python class that provides all the functionality for your API.

		},
		Response: nil,
	}
	revBytes, err := json.Marshal(rev)
	if err != nil {
		return nil, err
	}
	resp, err := client.Post(address, "application/json", bytes.NewBuffer(revBytes))
	if err != nil {
		return nil, err
	}
	defer resp.Body.Close()
	body, err := io.ReadAll(resp.Body)
	if err != nil {
		return nil, err
	}
	var obj runtime.Object
	var ar *kube.AdmissionReview

  TF_Tensor* tensor_1X1X6 = Int32Tensor({1, 1, 6});
  CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_);

  TFE_Op* reshape_op = TFE_NewOp(tfe_context_, "Reshape", status_);
  CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_);
  TFE_OpSetAttrType(reshape_op, "T", TF_FLOAT);
  TFE_OpSetAttrType(reshape_op, "Tshape", TF_INT32);
  CheckOutputShapes(reshape_op,

	if err != nil {
		return err
	}
	// Indicate that the liveness check for a peer call
	req.Header.Set(xhttp.MinIOPeerCall, "true")

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

	return nil
}

// connect to list of endpoints and load all Erasure disk formats, validate the formats are correct

		tf := cmdtesting.NewTestFactory()
		_, _, codec := cmdtesting.NewExternalScheme()
		tf.UnstructuredClient = &fake.RESTClient{
			NegotiatedSerializer: resource.UnstructuredPlusDefaultContentConfig().NegotiatedSerializer,
			Resp: &http.Response{
				StatusCode: http.StatusOK,
				Header:     cmdtesting.DefaultHeader(),
				Body: cmdtesting.ObjBody(codec,
					cmdtesting.NewInternalType("", "", "foo")),
			},
		}
		return tf
	}

```

////

//// tab | Python 3.8+

```Python hl_lines="35"
{!> ../../docs_src/body_updates/tutorial002.py!}
```

////

### Partial updates recap

In summary, to apply partial updates you would:

* (Optionally) use `PATCH` instead of `PUT`.
* Retrieve the stored data.
* Put that data in a Pydantic model.

		tf := cmdtesting.NewTestFactory()
		_, _, codec := cmdtesting.NewExternalScheme()
		tf.UnstructuredClient = &fake.RESTClient{
			NegotiatedSerializer: resource.UnstructuredPlusDefaultContentConfig().NegotiatedSerializer,
			Resp: &http.Response{
				StatusCode: http.StatusOK,
				Header:     cmdtesting.DefaultHeader(),
				Body: cmdtesting.ObjBody(codec,
					cmdtesting.NewInternalType("", "", "foo")),
			},
		}
		return tf
	}

		tf := cmdtesting.NewTestFactory()
		_, _, codec := cmdtesting.NewExternalScheme()
		tf.UnstructuredClient = &fake.RESTClient{
			NegotiatedSerializer: resource.UnstructuredPlusDefaultContentConfig().NegotiatedSerializer,
			Resp: &http.Response{
				StatusCode: http.StatusOK,
				Header:     cmdtesting.DefaultHeader(),
				Body: cmdtesting.ObjBody(codec,
					cmdtesting.NewInternalType("", "", "foo")),
			},
		}
		return tf
	}