* Dites-moi comment vous utilisez FastAPI (j'adore entendre ça).
    * Entendre quand je fais des annonces ou que je lance de nouveaux outils.
* <a href="https://www.linkedin.com/in/tiangolo/" class="external-link" target="_blank">Vous connectez à moi sur **LinkedIn**</a>.
    * Etre notifié quand je fais des annonces ou que je lance de nouveaux outils (bien que j'utilise plus souvent Twitter 🤷‍♂).

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

## Àpẹẹrẹ

### Ṣẹ̀dá rẹ̀

* Ṣẹ̀dá fáìlì `main.py (èyí tíí ṣe, akọkọ.py)` pẹ̀lú:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}

	}
	region := &Region{Name: "Region1"}
	if err := DB.Create(region).Error; err != nil {
		t.Fatalf("fail to create region %v", err)
	}
	var orgs []Organization

	if err := DB.Model(&Region{}).Association("Organizations").Find(&orgs); err != nil {
		t.Fatalf("fail to find region organizations %v", err)
	} else {
		AssertEqual(t, len(orgs), 0)
	}
}

type AssociationEmptyUser struct {

///

## Response-Statuscode

Sie können den (HTTP-)`status_code` definieren, den die Response Ihrer *Pfadoperation* verwenden soll.

Sie können direkt den `int`-Code übergeben, etwa `404`.

Aber falls Sie sich nicht mehr erinnern, wofür jede Nummer steht, können Sie die Abkürzungs-Konstanten in `status` verwenden:

//// tab | Python 3.10+

```Python hl_lines="1  15"

		}

		newCfg, err := readServerConfig(GlobalContext, objAPI, data)
		if err == nil {
			return newCfg, nil
		}

		// Read older `.minio.sys/config/config.json`, if not
		// possible just fail.
		if err = json.Unmarshal(data, cfg); err != nil {
			// Unable to parse old JSON simply re-initialize a new one.
			return newServerCfg()
		}
	}

	if !globalCredViaEnv && cfg.Credential.IsValid() {

type MonitoredReader struct {
	r        io.Reader
	throttle *bucketThrottle
	ctx      context.Context // request context
	lastErr  error           // last error reported, if this non-nil all reads will fail.
	m        *Monitor
	opts     *MonitorReaderOptions
}

// BucketOptions represents the bucket and optionally its replication target pair.
type BucketOptions struct {
	Name           string

      ASSERT_EQ(errors::OK, s.code()) << s.message();
      ctx_.reset(ctx_raw);
    }

    // Computing numerical gradients with TensorFloat-32 is numerically
    // unstable. Some forward pass tests also fail with TensorFloat-32 due to
    // low tolerances
    enable_tensor_float_32_execution(false);
  }

  AbstractContextPtr ctx_;

 public:

		}
	}

	// test for unknown auth case.
	anonReq.Body = readerTwo
	// Setting the `Authorization` header to a random value so that the signature falls into unknown auth case.
	anonReq.Header.Set("Authorization", "nothingElse")
	// initialize new response recorder.
	rec = httptest.NewRecorder()
	// call the handler using the HTTP Request.

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

            }
            jobLog.setJobStatus(Constants.OK);
        } catch (final Throwable t) {
            logger.warn("Failed to execute {}: {}", id, script, t);
            jobLog.setJobStatus(Constants.FAIL);
            jobLog.setScriptResult(systemHelper.abbreviateLongText(t.getLocalizedMessage()));
        } finally {
            if (task != null) {
                try {
                    task.stop();