13: {bucketName: bucket, objName: object, inputData: []byte("mnop"), inputMeta: map[string]string{"etag": "e132e96a5ddad6da8b07bba6f6131fef"}, inputDataSize: int64(len("mnop"))},

		// With no metadata
		14: {bucketName: bucket, objName: object, inputData: data, inputDataSize: int64(len(data)), expectedMd5: getMD5Hash(data)},

SHA256ROUND1(62, 0xbef9a3f7, 2, 3, 4, 5, 6, 7, 0, 1) SHA256ROUND1(63, 0xc67178f2, 1, 2, 3, 4, 5, 6, 7, 0) MOVL dig+0(FP), BP MOVL (0*4)(BP), AX // H0 = a + H0 ADDL (0*4)(DI), AX MOVL AX, (0*4)(DI) MOVL AX, (0*4)(BP) MOVL (1*4)(BP), BX // H1 = b + H1 ADDL (1*4)(DI), BX MOVL BX, (1*4)(DI) MOVL BX, (1*4)(BP) MOVL (2*4)(BP), CX // H2 = c + H2 ADDL (2*4)(DI), CX MOVL CX, (2*4)(DI) MOVL CX, (2*4)(BP) MOVL (3*4)(BP), DX // H3 = d + H3 ADDL (3*4)(DI), DX MOVL DX, (3*4)(DI) MOVL DX, (3*4)(BP) MOVL (4*4)(BP), AX // H4...

### 创建引擎（Engine）

SQLModel 的引擎 `engine`（实际上它是一个 SQLAlchemy `engine` ）是用来与数据库**保持连接**的。

您只需构建**一个 `engine`**，来让您的所有代码连接到同一个数据库。

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[14:18] hl[14:15,17:18] *}

使用 `check_same_thread=False` 可以让 FastAPI 在不同线程中使用同一个 SQLite 数据库。这很有必要，因为**单个请求**可能会使用**多个线程**（例如在依赖项中）。

不用担心，我们会按照代码结构确保**每个请求使用一个单独的 SQLModel *会话***，这实际上就是 `check_same_thread` 想要实现的。

### 创建表

    List<Integer> list2 = newArrayList(4);

    List<List<Integer>> input = newArrayList(list1, list2);

    FluentIterable<Integer> result = FluentIterable.concat(input);
    assertEquals(asList(1, 4), newArrayList(result));

    // Now change the inputs and see result dynamically change as well

    list1.add(2);
    List<Integer> list3 = newArrayList(3);
    input.add(1, list3);

			accessKey:          credentials.AccessKey,
			secretKey:          credentials.SecretKey,
			expectedRespStatus: http.StatusPreconditionFailed,
		},
		// Test case - 14, copy metadata from newObject1 with wrong modified header format
		14: {
			bucketName:         bucketName,
			newObjectName:      "newObject1",
			copySourceHeader:   url.QueryEscape(SlashSeparator + bucketName + SlashSeparator + objectName),

```

You will also need to configure this dependency:

```
dependencies {
  implementation "org.bouncycastle:bcprov-jdk15on:1.65"
}
```

 *  Upgrade: [Kotlin 1.4.10][kotlin_1_4_10]. We now use Kotlin 1.4.x [functional
    interfaces][fun_interface] for `Authenticator`, `Interceptor`, and others.
 *  Upgrade: Build with Conscrypt 2.5.1.


## Version 4.8.1

_2020-08-06_

- login: jgould22
  count: 17
  avatarUrl: https://avatars.githubusercontent.com/u/4335847?u=ed77f67e0bb069084639b24d812dbb2a2b1dc554&v=4
  url: https://github.com/jgould22
- login: tiangolo
  count: 14
  avatarUrl: https://avatars.githubusercontent.com/u/1326112?u=cb5d06e73a9e1998141b1641aa88e443c6717651&v=4
  url: https://github.com/tiangolo
- login: Kfir-G
  count: 13

			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *rebalanceStats) Msgsize() (s int) {
	s = 1 + 4 + msgp.Uint64Size + 3 + msgp.Uint64Size + 4 + msgp.ArrayHeaderSize
	for za0001 := range z.Buckets {
		s += msgp.StringPrefixSize + len(z.Buckets[za0001])
	}
	s += 4 + msgp.ArrayHeaderSize

          <description>
            Specifies that this profile will be activated when a matching JDK is detected.
            For example, {@code 1.4} only activates on JDKs versioned 1.4,
            while {@code !1.4} matches any JDK that is not version 1.4. Ranges are supported too:
            {@code [1.5,)} activates when the JDK is 1.5 minimum.
          </description>
        </field>
        <field>

### 엔진 생성하기

SQLModel의 `engine` (내부적으로는 SQLAlchemy `engine`)은 데이터베이스에 대한 **연결을 유지**하는 역할을 합니다.

**하나의 단일 engine 객체**를 통해 코드 전체에서 동일한 데이터베이스에 연결할 수 있습니다.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[14:18] hl[14:15,17:18] *}

`check_same_thread=False`를 사용하면 FastAPI에서 여러 스레드에서 동일한 SQLite 데이터베이스를 사용할 수 있습니다. 이는 **하나의 단일 요청**이 **여러 스레드**를 사용할 수 있기 때문에 필요합니다(예: 의존성에서 사용되는 경우).