Pour en savoir plus, consultez la section <a href="https://fastapi.tiangolo.com/fr/benchmarks/" class="internal-link" target="_blank">Benchmarks</a>.

## Dépendances facultatives

Utilisées par Pydantic:

Para entender más sobre esto, ve la sección <a href="https://fastapi.tiangolo.com/es/benchmarks/" class="internal-link" target="_blank">Benchmarks</a>.

## Dependencias { #dependencies }

FastAPI depende de Pydantic y Starlette.

### Dependencias `standard` { #standard-dependencies }

想了解更多訊息，可以參考 <a href="https://fastapi.tiangolo.com/benchmarks/" class="internal-link" target="_blank">測試結果</a>。

## 可選的依賴套件

用於 Pydantic：

- <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - 用於電子郵件驗證。

| `minio_cluster_kms_request_error`   | Number of KMS requests that failed due to some error. (HTTP 4xx status code).            |
| `minio_cluster_kms_request_failure` | Number of KMS requests that failed due to some internal failure. (HTTP 5xx status code). |
| `minio_cluster_kms_request_success` | Number of KMS requests that succeeded.                                                   |

Щоб дізнатися більше про це, перегляньте розділ <a href="https://fastapi.tiangolo.com/benchmarks/" class="internal-link" target="_blank">Benchmarks</a>.

## Необов'язкові залежності

Pydantic використовує:

## Instalar o `SQLModel` { #install-sqlmodel }

Primeiro, certifique-se de criar seu [ambiente virtual](../virtual-environments.md){.internal-link target=_blank}, ativá-lo e, em seguida, instalar o `sqlmodel`:

<div class="termy">

```console
$ pip install sqlmodel
---> 100%
```

</div>

	"github.com/klauspost/compress/zip"
	"github.com/minio/madmin-go/v3"
	xioutil "github.com/minio/minio/internal/ioutil"
	xnet "github.com/minio/pkg/v3/net"
	"github.com/minio/pkg/v3/sync/errgroup"
	"github.com/minio/pkg/v3/workers"

	"github.com/minio/minio/internal/bucket/bandwidth"
	"github.com/minio/minio/internal/logger"
)

// This file contains peer related notifications. For sending notifications to

                      params->body_outputs, num_loop_vars, outputs));
        return absl::OkStatus();
      };

  // Create the while loop using an internal scope.
  tensorflow::Scope scope =
      NewInternalScope(&parent->graph, &status->status, &parent->refiner)
          .NewSubScope(params->name);

  const int first_new_node_id = parent->graph.num_node_ids();

$SCHEME://$MINIO_ENDPOINT:$MINIO_PORT $ACCESS $SECRET" ; $MC_COMMAND ; STATUS=$? ; until [ $STATUS = 0 ] do ATTEMPTS=`expr $ATTEMPTS + 1` ; echo \"Failed attempts: $ATTEMPTS\" ; if [ $ATTEMPTS -gt $LIMIT ]; then exit 1 ; fi ; sleep 2 ; # 1 second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # checkBucketExists ($bucket) # Check if the bucket exists, by using the exit code of `mc ls` checkBucketExists() { BUCKET=$1 CMD=$(${MC} ls myminio/$BUCKET...

$SCHEME://$MINIO_ENDPOINT:$MINIO_PORT $ACCESS $SECRET" ; $MC_COMMAND ; STATUS=$? ; until [ $STATUS = 0 ] do ATTEMPTS=`expr $ATTEMPTS + 1` ; echo \"Failed attempts: $ATTEMPTS\" ; if [ $ATTEMPTS -gt $LIMIT ]; then exit 1 ; fi ; sleep 2 ; # 1 second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # checkBucketExists ($bucket) # Check if the bucket exists, by using the exit code of `mc ls` checkBucketExists() { BUCKET=$1 CMD=$(${MC} ls myminio/$BUCKET...