COPY ./requirements.txt /app/requirements.txt

RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt

COPY ./app /app
```

### 更大的应用程序

如果你按照有关创建[具有多个文件的更大应用程序](../tutorial/bigger-applications.md){.internal-link target=_blank}的部分进行操作，你的`Dockerfile`可能看起来这样：

```Dockerfile hl_lines="7"
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9

COPY ./requirements.txt /app/requirements.txt

COPY ./requirements.txt /app/requirements.txt

RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt

COPY ./app /app
```

### 더 큰 어플리케이션

만약 여러분이 [다중 파일을 가지는 더 큰 어플리케이션](../tutorial/bigger-applications.md){.internal-link target=_blank}을 생성하는 섹션을 따랐다면, 여러분의 `Dockerfile`은 대신 이렇게 생겼을 것입니다:

```Dockerfile hl_lines="7"
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9

							t.Errorf("Case: %d %#v, expected: %s, got: %s", i+1, testCase, testCase.expectedErr, err)
						}
					}
				}
				// Err unexpected EOF special case, where we verify we have provided a larger
				// buffer than the data itself, but the results are in-fact valid. So we validate
				// this error condition specifically treating it as a good condition with valid

#include "tensorflow/cc/framework/gradients.h"
#include "tensorflow/cc/framework/ops.h"
#include "tensorflow/cc/framework/scope_internal.h"
#include "tensorflow/cc/ops/while_loop.h"
#include "tensorflow/cc/saved_model/loader.h"
#include "tensorflow/core/distributed_runtime/server_lib.h"
#include "tensorflow/core/framework/logging.h"
#include "tensorflow/core/framework/op_gen_lib.h"
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

COPY ./requirements.txt /app/requirements.txt

RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt

COPY ./app /app
```

### より大きなアプリケーション

[複数のファイルを持つ大きなアプリケーション](../tutorial/bigger-applications.md){.internal-link target=_blank}を作成するセクションに従った場合、`Dockerfile`は次のようになります：

```Dockerfile hl_lines="7"
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9

COPY ./requirements.txt /app/requirements.txt

		{bucketNames[0], objectNames[0], uploadIDs[0], 4, "mnop", "e132e96a5ddad6da8b07bba6f6131fef", int64(len("abcd"))},
		// Part with size larger than 5Mb.
		{bucketNames[0], objectNames[0], uploadIDs[0], 5, string(validPart), validPartMD5, int64(len(validPart))},
		{bucketNames[0], objectNames[0], uploadIDs[0], 6, string(validPart), validPartMD5, int64(len(validPart))},

pkg log/syslog (darwin-386), const LOG_DAEMON Priority
pkg log/syslog (darwin-386), const LOG_DEBUG = 7
pkg log/syslog (darwin-386), const LOG_EMERG = 0
pkg log/syslog (darwin-386), const LOG_ERR = 3
pkg log/syslog (darwin-386), const LOG_FTP = 88
pkg log/syslog (darwin-386), const LOG_FTP Priority
pkg log/syslog (darwin-386), const LOG_INFO = 6
pkg log/syslog (darwin-386), const LOG_KERN = 0

most-significant bits of the exponent we can // compute before crossing the threshold, and we do it with doublings. i := bits.UintSize for logR>>i <= threshold { i-- } for k := uint(0); k < logR>>i; k++ { rr.Add(rr, m) } // Then we process the remaining bits of the exponent with a // square-and-double chain. for i > 0 { rr.montgomeryMul(rr, rr, m) i-- if logR>>i&1 != 0 { rr.Add(rr, m) } } return rr } // minusInverseModW computes -x⁻¹ mod _W with x odd. // // This operation is used to precompute a...

most-significant bits of the exponent we can // compute before crossing the threshold, and we do it with doublings. i := bits.UintSize for logR>>i <= threshold { i-- } for k := uint(0); k < logR>>i; k++ { rr.Add(rr, m) } // Then we process the remaining bits of the exponent with a // square-and-double chain. for i > 0 { rr.montgomeryMul(rr, rr, m) i-- if logR>>i&1 != 0 { rr.Add(rr, m) } } return rr } // minusInverseModW computes -x⁻¹ mod _W with x odd. // // This operation is used to precompute a...