</p>
<p align="center">
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    <img src="https://github.com/fastapi/fastapi/actions/workflows/test.yml/badge.svg?event=push&branch=master" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/fastapi" target="_blank">

</p>
<p align="center">
<a href="https://github.com/fastapi/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
    <img src="https://github.com/fastapi/fastapi/actions/workflows/test.yml/badge.svg?event=push&branch=master" alt="Test">
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    <img src="https://coverage-badge.samuelcolvin.workers.dev/fastapi/fastapi.svg" alt="Coverage">

* 基本的なユーザーモデル (任意の修正や削除が可能)。
* **Alembic** マイグレーション。
* **CORS** (Cross Origin Resource Sharing (オリジン間リソース共有))。
* **Celery** ワーカー。バックエンドの残りの部分からモデルとコードを選択的にインポートし、使用可能。
* Dockerと統合された**Pytest**ベースのRESTバックエンドテスト。データベースに依存せずに、全てのAPIをテスト可能。Docker上で動作するので、毎回ゼロから新たなデータストアを構築可能。(ElasticSearch、MongoDB、CouchDBなどを使用して、APIの動作をテスト可能)
* Atom HydrogenやVisual Studio Code Jupyterなどの拡張機能を使用した、リモートまたはDocker開発用の**Jupyterカーネル**との簡単なPython統合。

    @Nested
    @DisplayName("Constructor Tests")
    class ConstructorTests {

        @Test
        @DisplayName("Should create response with default values")
        void testConstructor() {
            SrvCopyChunkCopyResponse copyResponse = new SrvCopyChunkCopyResponse();
            assertNotNull(copyResponse);
        }

        @Test
        @DisplayName("Should initialize chunksWritten to zero")

  The question remaining is: Which level of offline mode will we support? It
  seems reasonable to assume that users will be able to tell when localhost is
  not active (in most cases, localhost should be available, even if the rest of
  the network is not). Therefore, let's concentrate on the state where no
  network <beyond localhost> exists, and leave the more extreme state to users
  to diagnose and correct as necessary.

      }
      return result;
    }

    @Override
    public synchronized void reset() throws IOException {
      if (!in.markSupported()) {
        throw new IOException("Mark not supported");
      }
      if (mark == -1) {
        throw new IOException("Mark not set");
      }

      in.reset();
      left = mark;
    }

    @Override
    public long skip(long n) throws IOException {

Then, using the certificate, the client and the TLS Termination Proxy **decide how to encrypt** the rest of the **TCP communication**. This completes the **TLS Handshake** part.

                field_dict["annotation"],
                *field_dict["metadata"],
                # this FieldInfo needs to be created again so that it doesn't include
                # the old field info metadata and only the rest of the attributes
                Field(**field_dict["attributes"]),
            )
            self._type_adapter: TypeAdapter[Any] = TypeAdapter(
                Annotated[annotated_args],

                .addAll(curr)
                .build());
      }
    }
    return allOverloads.build().asList();
  }

  // 'test' to demonstrate some potentially ambiguous overloads.  This 'test' is kind of strange,
  // but essentially each line will be a call to a Preconditions method that, but for a documented
  // change would be a compiler error.

    This is where we'll put the `requirements.txt` file and the `app` directory.

3. Copy the file with the requirements to the `/code` directory.

    Copy **only** the file with the requirements first, not the rest of the code.

    As this file **doesn't change often**, Docker will detect it and use the **cache** for this step, enabling the cache for the next step too.

4. Install the package dependencies in the requirements file.