///

```Python hl_lines="7"
{!> ../../docs_src/request_files/tutorial001.py!}
```

////

/// info | Informação

`File` é uma classe que herda diretamente de `Form`.

Mas lembre-se que quando você importa `Query`,`Path`, `File`, entre outros, do `fastapi`, essas são na verdade funções que retornam classes especiais.

///

/// tip | Dica

// This file contains members that we should consider to pull upstream
// and make available to all Kotlin DSL users
package gradlebuild.basics.kotlindsl

import org.gradle.api.Project
import org.gradle.kotlin.dsl.support.serviceOf
import org.gradle.process.ExecOperations
import java.io.ByteArrayOutputStream
import java.io.File


/**
 * `dir / "sub"` is the same as `dir.resolve("sub")`.
 *
 * @see [File.resolve]
 */

- Reduced server startup time. For IAM encryption with the root credentials, MinIO had
   to use a memory-hard function (Argon2) that (on purpose) consumes a lot of memory and CPU.
   The new KMS-based approach can use a key derivation function that is orders of magnitudes
   cheaper w.r.t. memory and CPU.
- Root credentials can now be changed easily. Before, a two-step process was required to

        "//tensorflow/core/distributed_runtime/rpc:rpc_rendezvous_mgr",
        "//tensorflow/core/distributed_runtime/rpc/eager:grpc_eager_client",
        "@com_google_absl//absl/memory",
        "@com_google_absl//absl/strings:str_format",
        "@local_xla//xla/tsl/c:tsl_status_internal",
    ],
    alwayslink = 1,
)

filegroup(
    name = "pywrap_required_hdrs",
    srcs = [

just getting started, GitHub has a
[how-to](https://help.github.com/articles/using-pull-requests/).

TensorFlow team members will be assigned to review your pull requests. Once the
pull requests are approved and pass continuous integration checks, a TensorFlow
team member will apply `ready to pull` label to your change. This means we are
working on getting your pull request submitted to our internal repository. After

 */
package org.apache.maven.model.building;

import org.apache.maven.building.Source;

/**
 * Provides access to the contents of a POM independently of the backing store (e.g. file system, database, memory).
 * <p>
 * This interface does not support loading of parent POM(s) from the same backing store, integrators are strongly
 * encouraged to implement {@link ModelSource2} instead of implementing this interface directly.
 *

               "legendFormat": "Heap (Allocated) ({{pod}})"
            }
         ],
         "title": "Memory Usage",
         "type": "timeseries"
      },
      {
         "datasource": {
            "type": "datasource",
            "uid": "-- Mixed --"
         },
         "description": "Details about memory allocations",
         "fieldConfig": {
            "defaults": {
               "custom": {

    }

    private void appendJvmStats(final StringBuilder buf) {
        buf.append("\"jvm\":{");
        final JvmStats jvmStats = JvmStats.jvmStats();
        final Mem mem = jvmStats.getMem();
        buf.append("\"memory\":{");
        buf.append("\"heap\":{");
        append(buf, "used", () -> mem.getHeapUsed().getBytes()).append(',');
        append(buf, "committed", () -> mem.getHeapCommitted().getBytes()).append(',');

You can import the `FastAPI` class directly from `fastapi`:

```python
from fastapi import FastAPI
```

::: fastapi.FastAPI
    options:
        members:
            - openapi_version
            - webhooks
            - state
            - dependency_overrides
            - openapi
            - websocket
            - include_router
            - get

Parce que **FastAPI** n'apporte aucune modification à une `Response` que vous retournez, vous devez vous assurer que son contenu est prêt à être utilisé (sérialisable).

Par exemple, vous ne pouvez pas mettre un modèle Pydantic dans une `JSONResponse` sans d'abord le convertir en un `dict` avec tous les types de données (comme `datetime`, `UUID`, etc.) convertis en types compatibles avec JSON.