HuangXingBo commented on a change in pull request #13232:
URL: https://github.com/apache/flink/pull/13232#discussion_r481933942
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File path: docs/dev/python/user-guide/table/dependency_management.zh.md
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@@ -61,49 +61,49 @@ table_env.add_python_file(file_path)
<tr>
<td><strong>set_python_requirements(requirements_file_path,
requirements_cache_dir=None)</strong></td>
<td>
- <p>Specifies a requirements.txt file which defines the third-party
dependencies. These dependencies will be installed to a temporary directory and
added to the PYTHONPATH of the python UDF worker. For the dependencies which
could not be accessed in the cluster, a directory which contains the
installation packages of these dependencies could be specified using the
parameter "requirements_cached_dir". It will be uploaded to the cluster to
support offline installation.</p>
+ <p>配置一个 requirements.txt 文件用于指定 Python 第三方依赖，这些依赖会被安装到一个临时目录并添加到
Python Worker 的 PYTHONPATH 中。对于在集群中无法访问的外部依赖，用户可以通过 "requirements_cached_dir"
参数指定一个包含这些依赖安装包的目录，这个目录文件会被上传到集群并实现离线安装。</p>
{% highlight python %}
-# commands executed in shell
+# 执行下面的 shell 命令
echo numpy==1.16.5 > requirements.txt
pip download -d cached_dir -r requirements.txt --no-binary :all:
-# python code
+# python 代码
table_env.set_python_requirements("requirements.txt", "cached_dir")
{% endhighlight %}
- <p>Please make sure the installation packages matches the platform of
the cluster and the python version used. These packages will be installed using
pip, so also make sure the version of Pip (version >= 7.1.0) and the version of
SetupTools (version >= 37.0.0).</p>
+ <p>请确保这些依赖安装包和集群运行环境以及 Python 版本相匹配。此外，这些依赖将通过 Pip 安装， 请确保
Pip的版本（version >= 7.1.0） 和 Setuptools 的版本（version >= 37.0.0）和依赖安装包兼容。</p>
Review comment:
```suggestion
<p>请确保这些依赖安装包和集群运行环境所使用的的 Python 版本相匹配。此外，这些依赖将通过 Pip 安装， 请确保
Pip的版本（version >= 7.1.0） 和 Setuptools 的版本（version >= 37.0.0）符合要求。</p>
```
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