pkg database/sql, type NullInt16 struct, Valid bool
pkg debug/elf, const SHT_MIPS_ABIFLAGS = 1879048234
pkg debug/elf, const SHT_MIPS_ABIFLAGS SectionType
pkg encoding/csv, method (*Reader) FieldPos(int) (int, int)
pkg go/build, type Context struct, ToolTags []string
pkg go/parser, const SkipObjectResolution = 64
pkg go/parser, const SkipObjectResolution Mode
pkg image, method (*Alpha) RGBA64At(int, int) color.RGBA64

      const std::vector<int64_t>& unneeded_gradients,
      gtl::ArraySlice<AbstractTensorHandle*> output_gradients,
      absl::Span<AbstractTensorHandle*> result) const override;

  // Builds a tensor filled with ones with the same shape and dtype as `t`.
  absl::Status BuildOnesLike(const TapeTensor& t,
                             AbstractTensorHandle** result) const override;

### **4.2 WordCount**

WordCount is a simple program that counts how often a word occurs in a text file. The code builds a dataset of (String, Int) pairs called counts, and saves the dataset to a file.

The following example submits WordCount code to the Scala shell. Select an input file for the Spark WordCount example. We can use any text file as input.

리눅스 컨테이너를 사용하는 데에는 **보안**, **반복 가능성**, **단순함** 등의 장점이 있습니다.

/// tip | "팁"

시간에 쫓기고 있고 이미 이런것들을 알고 있다면 [`Dockerfile`👇](#build-a-docker-image-for-fastapi)로 점프할 수 있습니다.

///

<details>
<summary>도커파일 미리보기 👀</summary>

```Dockerfile
FROM python:3.9

WORKDIR /code

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

	<!--
	<component name="jodExtractor"
		class="org.codelibs.fess.crawler.extractor.impl.JodExtractor">
		<property name="officeManager">
			@org.jodconverter.local.office.LocalOfficeManager@.builder().portNumbers(12002).build()
		</property>
	</component>
	-->

	<component name="extractorFactory"
		class="org.codelibs.fess.crawler.extractor.ExtractorFactory">
		<postConstruct name="addExtractor">
			<arg>[

```Dockerfile
COPY ./app /code/app
```

### 构建 Docker 镜像

现在所有文件都已就位，让我们构建容器镜像。

* 转到项目目录（在`Dockerfile`所在的位置，包含`app`目录）。
* 构建你的 FastAPI 镜像：


<div class="termy">

```console
$ docker build -t myimage .

---> 100%
```

</div>


/// tip

注意最后的 `.`，它相当于`./`，它告诉 Docker 用于构建容器镜像的目录。

在本例中，它是相同的当前目录（`.`）。

///

### 启动 Docker 容器

* 根据你的镜像运行容器：

    FileSystem fs =
        Jimfs.newFileSystem(
            Configuration.unix().toBuilder()
                .setSupportedFeatures(ObjectArrays.concat(SYMBOLIC_LINKS, supportedFeatures))
                .build());
    Files.createDirectories(fs.getPath("dir/b/i/j/l"));
    Files.createFile(fs.getPath("dir/a"));
    Files.createFile(fs.getPath("dir/c"));
    Files.createSymbolicLink(fs.getPath("dir/d"), fs.getPath("b/i"));

		listObjectsInfo.IsTruncated = true
		listObjectsInfo.NextContinuationToken = nextToken
	}

	return listObjectsInfo, nil
}

// getFilesFromZIPObject reads a partial stream of a zip file to build the zipindex.Files index
func getFilesListFromZIPObject(ctx context.Context, objectAPI ObjectLayer, bucket, object string, opts ObjectOptions) (zipindex.Files, ObjectInfo, error) {
	size := 1 << 20
	var objSize int64
	for {

    }

    @Override
    public Entry<K, V>[] createArray(int length) {
      return delegate.createArray(length);
    }
  }

  /** Two bounds (from and to) define how to build a subMap. */
  public enum Bound {
    INCLUSIVE,
    EXCLUSIVE,
    NO_BOUND;
  }

  public static class SortedSetSubsetTestSetGenerator<E extends @Nullable Object>

import org.codelibs.core.misc.Pair;
import org.codelibs.core.misc.ValueHolder;
import org.codelibs.core.stream.StreamUtil;
import org.codelibs.fess.Constants;
import org.codelibs.fess.crawler.builder.RequestDataBuilder;
import org.codelibs.fess.crawler.entity.AccessResultData;
import org.codelibs.fess.crawler.entity.RequestData;
import org.codelibs.fess.crawler.entity.ResponseData;