```
.
├── Dockerfile
├── main.py
└── requirements.txt
```

Вам нужно изменить в `Dockerfile` соответствующие пути копирования файлов:

```{ .dockerfile .annotate hl_lines="10  13" }
FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

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

# (1)
COPY ./main.py /code/

# (2)

pkg syscall (openbsd-amd64), const CCR0_FLUSH ideal-int
pkg syscall (openbsd-amd64), const CPUID_CFLUSH = 524288
pkg syscall (openbsd-amd64), const CPUID_CFLUSH ideal-int
pkg syscall (openbsd-amd64), const EFER_LMA = 1024
pkg syscall (openbsd-amd64), const EFER_LMA ideal-int
pkg syscall (openbsd-amd64), const EFER_LME = 256
pkg syscall (openbsd-amd64), const EFER_LME ideal-int
pkg syscall (openbsd-amd64), const EFER_NXE = 2048

```
.
├── Dockerfile
├── main.py
└── requirements.txt
```

Então você só teria que alterar os caminhos correspondentes para copiar o arquivo dentro do `Dockerfile`:

```{ .dockerfile .annotate hl_lines="10  13" }
FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

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

# (1)
COPY ./main.py /code/

# (2)

		storageClassCfg     storageclass.Config
		expectedError       error
	}{
		{parts1, errs1, 12, 12, parts1SC, nil},
		{parts2, errs2, 14, 14, parts2SC, nil},
		{parts3, errs3, 12, 12, parts3SC, nil},
		{parts4, errs4, 10, 10, parts4SC, nil},
		{parts5, errs5, 14, 14, parts5SC, nil},
		{parts6, errs6, 12, 12, parts6SC, nil},
		{parts7, errs7, 11, 11, parts7SC, nil},
	}
	for _, tt := range tests {
		tt := tt

如果你的 FastAPI 是单个文件，例如没有`./app`目录的`main.py`，则你的文件结构可能如下所示：

```
.
├── Dockerfile
├── main.py
└── requirements.txt
```

然后你只需更改相应的路径即可将文件复制到`Dockerfile`中：

```{ .dockerfile .annotate hl_lines="10  13" }
FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

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

# (1)
COPY ./main.py /code/

# (2)

* Fix accepting valid types for response models, including Python types like `List[int]`. PR [#1017](https://github.com/tiangolo/fastapi/pull/1017) by [@patrickmckenna](https://github.com/patrickmckenna).
* Fix format in SQL tutorial. PR [#1015](https://github.com/tiangolo/fastapi/pull/1015) by [@vegarsti](https://github.com/vegarsti).

## 0.49.1

    val connection = connect(peer)
    val stream1 = connection.newStream(headerEntries("b", "bark"), false)
    val source = stream1.getSource()
    val buffer = Buffer()
    while (buffer.size != 1024L) source.read(buffer, 1024)
    stream1.close(ErrorCode.CANCEL, null)
    val frame1 = peer.takeFrame()
    assertThat(frame1.type).isEqualTo(Http2.TYPE_HEADERS)
    val frame2 = peer.takeFrame()

    private Socket socket;
    private int port;
    private final AtomicLong mid = new AtomicLong();
    private OutputStream out;
    private InputStream in;
    private final byte[] sbuf = new byte[1024]; /* small local buffer */
    private long sessionExpiration;
    private final List<SmbSessionImpl> sessions = new LinkedList<>();

    private String tconHostName = null;

```
.
├── Dockerfile
├── main.py
└── requirements.txt
```

Dann müssten Sie nur noch die entsprechenden Pfade ändern, um die Datei im `Dockerfile` zu kopieren:

```{ .dockerfile .annotate hl_lines="10  13" }
FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

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

# (1)
COPY ./main.py /code/

# (2)

     * is just more than the set's size.  We augment the test by
     * assuming that sets have fast contains() performance, and other
     * collections don't.  See
     * https://github.com/google/guava/issues/1013
     */
    if (collection instanceof Set && collection.size() > set.size()) {
      return Iterators.removeAll(set.iterator(), collection);
    } else {
      return removeAllImpl(set, collection.iterator());