// name is the full name of the object including prefixes
	name string
	// Metadata. If none is present it is not an object but only a prefix.
	// Entries without metadata will only be present in non-recursive scans.
	metadata []byte

	// cached contains the metadata if decoded.
	cached *xlMetaV2

	// Indicates the entry can be reused and only one reference to metadata is expected.
	reusable bool
}

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### 도커파일

이제 같은 프로젝트 디렉터리에 다음과 같은 파일 `Dockerfile`을 생성합니다:

```{ .dockerfile .annotate }
# (1)
FROM python:3.9

# (2)
WORKDIR /code

    # copybara:comment_begin(OSS Windows only: DEF file for exported symbols)
    win_def_file = select({
        "//tensorflow:windows": ":tensorflow_filtered_def_file",
        "//conditions:default": None,
    }),
    # copybara:comment_end
    deps = [
        "//tensorflow/c:c_api",
        "//tensorflow/c:c_api_experimental",
        "//tensorflow/c:exported_symbols.lds",

        of built-in training loops such as `tf.keras` `compile` and `fit`, we
        expect reduction value to be `SUM` or `NONE`. Using `AUTO` in that case
        will raise an error.
    *   `NONE`: Weighted losses with one dimension reduced (axis=-1, or axis
        specified by loss function). When this reduction type used with built-in

			switch {
			case arch.IsARM64STLXR(op):
				// ARM64 instructions with one input and two outputs.
				prog.From = a[0]
				prog.To = a[1]
				if a[2].Type != obj.TYPE_REG {
					p.errorf("invalid addressing modes for third operand to %s instruction, must be register", op)
					return
				}
				prog.RegTo2 = a[2].Reg
			case arch.IsARM64TBL(op):
				// one of its inputs does not fit into prog.Reg.
				prog.From = a[0]

     *
     * @param artifact the artifact for which to get a local path
     * @return local path associated to the given artifact, or {@code null} if none
     *
     * @see org.apache.maven.api.services.LocalRepositoryManager#getPathForLocalArtifact(Session, LocalRepository, Artifact)
     */
    Path getPathForLocalArtifact(@Nonnull Artifact artifact);

    /**

	var xl xlMetaV2
	if err = xl.LoadOrConvert(data); err != nil {
		b.Fatal(err)
	}

	vers := make([][]xlMetaV2ShallowVersion, 16)
	for i := range vers {
		vers[i] = xl.versions
	}

	b.Run("requested-none", func(b *testing.B) {
		b.ReportAllocs()
		b.ResetTimer()
		b.SetBytes(855) // number of versions...
		for b.Loop() {
			mergeXLV2Versions(8, false, 0, vers...)
		}
	})

        // present supplied by the user. The rule is that we only allow the execution of one ConfigurationProcessor.
        // If there is more than one then we execute the one supplied by the user, otherwise we execute the
        // default SettingsXmlConfigurationProcessor.
        //

	// test simultaneous reads
	n := 0
	done := make(chan bool)
	for i := 0; i < 5; i++ {
		for j, ft := range zt.File {
			go func(j int, ft ZipTestFile) {
				readTestFile(t, zt, ft, z.File[j], raw)
				done <- true
			}(j, ft)
			n++
		}
	}
	for ; n > 0; n-- {
		<-done
	}
}

func equalTimeAndZone(t1, t2 time.Time) bool {
	name1, offset1 := t1.Zone()
	name2, offset2 := t2.Zone()

	ErrInvalidPart: {
		Code:           "InvalidPart",
		Description:    "One or more of the specified parts could not be found.  The part may not have been uploaded, or the specified entity tag may not match the part's entity tag.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrMissingPart: {
		Code:           "InvalidRequest",
		Description:    "You must specify at least one part",
		HTTPStatusCode: http.StatusBadRequest,
	},