blocks|key|1226678|text|我发现了同样的问题，但我遵循了这个网页上的说明：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1226679|https://packaging.python.org/en/latest/+(论GitHub)|offset|length|1226680|步骤|1226681|要求/先决条件：|1226682|狮身人面像4.3.1|ordered-list-item|1226683|狮身人面像-自动建造0.7.1|1226684|狮身人面像-内联-表2021.4.11b9|1226685|python主题2021.5|1226686|狮身人面像-拷贝按钮0.4.0|1226687|python+-V的输出：
Python+3.8.10|style|CODE|1226688|protoc.exe+--version的输出：
libprotoc+3.21.0-rc2|1226689|安装：|1226690|pip+install+git%2Bhttps://github.com/pypa/pypa-docs-theme.git#egg=pypa-docs-theme|1226691|编译库|1226692|将编译后的库从F:\temp\Python\protoc\packaging.python.org\protobuf\Debug复制到F:\temp\Python\protoc\packaging.python.org\protobuf\src|1226693|输出：|BOLD|1226694|installing+library+code+to+build\bdist.win-amd64\egg
running+install_lib
running+build_py
creating+build\lib.win-amd64-3.8
creating+build\lib.win-amd64-3.8\google
copying+google\__init__.py+->+build\lib.win-amd64-3.8\google
creating+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\any_pb2.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\api_pb2.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\descriptor.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\descriptor_database.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\descriptor_pb2.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\descriptor_pool.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\duration_pb2.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\empty_pb2.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\field_mask_pb2.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\json_format.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\message.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\message_factory.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\proto_builder.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\reflection.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\service.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\service_reflection.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\source_context_pb2.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\struct_pb2.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\symbol_database.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\text_encoding.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\text_format.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\timestamp_pb2.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\type_pb2.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\unknown_fields.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\wrappers_pb2.py+->+build\lib.win-amd64-3.8\google\protobuf
copying+google\protobuf\__init__.py+->+build\lib.win-amd64-3.8\google\protobuf

...
testTimestampSerializeAndParse+(google.protobuf.internal.well_known_types_test.TimeUtilTest)+...+ok
testTimezoneAwareDatetimeConversionLA+(google.protobuf.internal.well_known_types_test.TimeUtilTest)
testTimezoneAwareDatetimeConversionLA([1969,+12,+31,+18],+datetime.timezone(datetime.timedelta(days=-1,+seconds=57600),+'US/Pacific'))+...+ok
testTimezoneAwareDatetimeConversionLondon+(google.protobuf.internal.well_known_types_test.TimeUtilTest)
testTimezoneAwareDatetimeConversionLondon([1970,+1,+1,+2],+datetime.timezone.utc)+...+ok
testTimezoneAwareDatetimeConversionTokyo+(google.protobuf.internal.well_known_types_test.TimeUtilTest)
testTimezoneAwareDatetimeConversionTokyo([1970,+1,+1,+11],+datetime.timezone(datetime.timedelta(seconds=32400),+'Japan'))+...+ok
testTimezoneNaiveDatetimeConversion+(google.protobuf.internal.well_known_types_test.TimeUtilTest)+...+ok
testByteSizeFunctions+(google.protobuf.internal.wire_format_test.WireFormatTest)+...+ok
testPackTag+(google.protobuf.internal.wire_format_test.WireFormatTest)+...+ok
testUnpackTag+(google.protobuf.internal.wire_format_test.WireFormatTest)+...+ok
testZigZagDecode+(google.protobuf.internal.wire_format_test.WireFormatTest)+...+ok
testZigZagEncode+(google.protobuf.internal.wire_format_test.WireFormatTest)+...+ok|code-block|syntax|javascript|1226695|entityMap|0|LINK|mutability|MUTABLE|url|https://packaging.python.org/en/latest/|1|https://github.com/pypa/packaging.python.org^0|0|0|13|0|15|7|1|0|0|0|0|0|0|0|0|0|9|0|0|K|0|0|0|27|0|0|0|0|3|0|0^^$0|@$1|2|3|4|5|6|7|1Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1R|8|@]|9|@$D|1S|E|1T|1|1U]|$D|1V|E|1W|1|1X]]|A|$]]|$1|F|3|G|5|6|7|1Y|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|1Z|8|@]|9|@]|A|$]]|$1|J|3|K|5|L|7|20|8|@]|9|@]|A|$]]|$1|M|3|N|5|L|7|21|8|@]|9|@]|A|$]]|$1|O|3|P|5|L|7|22|8|@]|9|@]|A|$]]|$1|Q|3|R|5|L|7|23|8|@]|9|@]|A|$]]|$1|S|3|T|5|L|7|24|8|@]|9|@]|A|$]]|$1|U|3|V|5|L|7|25|8|@$D|26|E|27|W|X]]|9|@]|A|$]]|$1|Y|3|Z|5|L|7|28|8|@$D|29|E|2A|W|X]]|9|@]|A|$]]|$1|10|3|11|5|6|7|2B|8|@]|9|@]|A|$]]|$1|12|3|13|5|L|7|2C|8|@$D|2D|E|2E|W|X]]|9|@]|A|$]]|$1|14|3|15|5|L|7|2F|8|@]|9|@]|A|$]]|$1|16|3|17|5|L|7|2G|8|@]|9|@]|A|$]]|$1|18|3|19|5|6|7|2H|8|@$D|2I|E|2J|W|1A]]|9|@]|A|$]]|$1|1B|3|1C|5|1D|7|2K|8|@]|9|@]|A|$1E|1F]]|$1|1G|3|-4|5|6|7|2L|8|@]|9|@]|A|$]]]|1H|$1I|$5|1J|1K|1L|A|$1M|1N]]|1O|$5|1J|1K|1L|A|$1M|1P]]]]

I found the same problem, but I followed the instructions on this web page:
<a href="https://packaging.python.org/en/latest/" rel="nofollow noreferrer">Python Packaging User Guide</a> (<a href="https://github.com/pypa/packaging.python.org" rel="nofollow noreferrer">on GitHub</a>)
<h2>Steps</h2>
<h3>Requirements / prerequisites:</h3>
<ol>
<li>sphinx 4.3.1
</li>
<li>sphinx-autobuild 0.7.1
</li>
<li>sphinx-inline-tabs 2021.4.11b9
</li>
<li>python-docs-theme 2021.5
</li>
<li>sphinx-copybutton 0.4.0
</li>
<li>Output of <code>python -V</code>:
<blockquote>
Python 3.8.10
</blockquote>
</li>
<li>Output of <code>protoc.exe --version</code>:
<blockquote>
libprotoc 3.21.0-rc2
</blockquote>
</li>
</ol>
<h3>Installation:</h3>
<ol>
<li><code>pip install git+https://github.com/pypa/pypa-docs-theme.git#egg=pypa-docs-theme</code>
</li>
<li>Compile libraries
</li>
<li>Copy the compiled library from F:\temp\Python\protoc\packaging.python.org\protobuf\Debug to F:\temp\Python\protoc\packaging.python.org\protobuf\src
</li>
</ol>
Output:
<pre class="lang-none prettyprint-override"><code>installing library code to build\bdist.win-amd64\egg
running install_lib
running build_py
creating build\lib.win-amd64-3.8
creating build\lib.win-amd64-3.8\google
copying google\__init__.py -&gt; build\lib.win-amd64-3.8\google
creating build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\any_pb2.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\api_pb2.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\descriptor.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\descriptor_database.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\descriptor_pb2.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\descriptor_pool.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\duration_pb2.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\empty_pb2.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\field_mask_pb2.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\json_format.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\message.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\message_factory.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\proto_builder.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\reflection.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\service.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\service_reflection.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\source_context_pb2.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\struct_pb2.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\symbol_database.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\text_encoding.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\text_format.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\timestamp_pb2.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\type_pb2.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\unknown_fields.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\wrappers_pb2.py -&gt; build\lib.win-amd64-3.8\google\protobuf
copying google\protobuf\__init__.py -&gt; build\lib.win-amd64-3.8\google\protobuf

...
testTimestampSerializeAndParse (google.protobuf.internal.well_known_types_test.TimeUtilTest) ... ok
testTimezoneAwareDatetimeConversionLA (google.protobuf.internal.well_known_types_test.TimeUtilTest)
testTimezoneAwareDatetimeConversionLA([1969, 12, 31, 18], datetime.timezone(datetime.timedelta(days=-1, seconds=57600), 'US/Pacific')) ... ok
testTimezoneAwareDatetimeConversionLondon (google.protobuf.internal.well_known_types_test.TimeUtilTest)
testTimezoneAwareDatetimeConversionLondon([1970, 1, 1, 2], datetime.timezone.utc) ... ok
testTimezoneAwareDatetimeConversionTokyo (google.protobuf.internal.well_known_types_test.TimeUtilTest)
testTimezoneAwareDatetimeConversionTokyo([1970, 1, 1, 11], datetime.timezone(datetime.timedelta(seconds=32400), 'Japan')) ... ok
testTimezoneNaiveDatetimeConversion (google.protobuf.internal.well_known_types_test.TimeUtilTest) ... ok
testByteSizeFunctions (google.protobuf.internal.wire_format_test.WireFormatTest) ... ok
testPackTag (google.protobuf.internal.wire_format_test.WireFormatTest) ... ok
testUnpackTag (google.protobuf.internal.wire_format_test.WireFormatTest) ... ok
testZigZagDecode (google.protobuf.internal.wire_format_test.WireFormatTest) ... ok
testZigZagEncode (google.protobuf.internal.wire_format_test.WireFormatTest) ... ok
</code></pre>

blocks|key|19409|text|在我的例子中，我的protobuf文件中没有显式的requirements.txt，但是我确实有一个相关的依赖项，这显然是有问题的：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|19410|googleapis-common-protos==1.6.0++#+Depends+on+protobuf|19411|删除--这允许后续的pip+install+-e+.+(假设setup.py存在)与google-api-core==1.13.0所具有的任何依赖项一起使用。这导致了googleapis-common-protos==1.56.2的安装并解决了错误。|BOLD|19412|entityMap^0|9|8|P|G|0|0|1I|0|0|2|A|G|U|8|16|N|2B|W|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]|$9|P|A|Q|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|R|8|@$9|S|A|T|B|C]]|D|@]|E|$]]|$1|H|3|I|5|6|7|U|8|@$9|V|A|W|B|J]|$9|X|A|Y|B|C]|$9|Z|A|10|B|C]|$9|11|A|12|B|C]|$9|13|A|14|B|C]]|D|@]|E|$]]|$1|K|3|-4|5|6|7|15|8|@]|D|@]|E|$]]]|L|$]]

In my case I did not have <code>protobuf</code> explicitly in my <code>requirements.txt</code> file, but I did have a related dependency which was apparently problematic:
<code>googleapis-common-protos==1.6.0 # Depends on protobuf</code>
Removing this allowed the subsequent <code>pip install -e .</code> (assuming <code>setup.py</code> is present) to go with whatever <code>google-api-core==1.13.0</code> had for dependencies. That resulted in the installation of <code>googleapis-common-protos==1.56.2</code> and resolved the error.

blocks|key|136639|text|有时，原生质包可能在没有您参与的情况下安装。为此，您有两个解决方案要应用。尝试下面的解决方案之一，它应该可以工作。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|136640|解决方案1：|136641|你可以降级原生质插件，|136642|pip+install+protobuf==3.20.*|code-block|syntax|javascript|136643|或者您可以将它作为最后一个包添加到requirements.txt文件中。因为这将覆盖先前安装的原生质包。|style|CODE|136644|...
protobuf==3.20.*|136645|解决方案2：|136646|可以设置以下环境变量。|136647|export+PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python|136648|根据错误描述，这可能会影响程序性能。|136649|但是这将使用纯Python解析，而且要慢得多。|blockquote|136650|参考文献：|136651|TypeError:不能直接创建描述符|unordered-list-item|136652|[Python4.21.0版打破了多个Google客户端库("TypeError:描述符不能直接创建“)。|136653|entityMap|0|LINK|mutability|MUTABLE|url|https://pypi.org/project/protobuf/|1|2|3|https://discuss.streamlit.io/t/typeerror-descriptors-cannot-not-be-created-directly/25639|4|https://github.com/protocolbuffers/protobuf/issues/10051^0|3|3|0|0|0|5|3|1|0|0|H|G|1C|3|2|0|0|0|0|0|0|0|0|0|J|3|0|0|1H|4|0^^$0|@$1|2|3|4|5|6|7|1O|8|@]|9|@$A|1P|B|1Q|1|1R]]|C|$]]|$1|D|3|E|5|6|7|1S|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|1T|8|@]|9|@$A|1U|B|1V|1|1W]]|C|$]]|$1|H|3|I|5|J|7|1X|8|@]|9|@]|C|$K|L]]|$1|M|3|N|5|6|7|1Y|8|@$A|1Z|B|20|O|P]]|9|@$A|21|B|22|1|23]]|C|$]]|$1|Q|3|R|5|J|7|24|8|@]|9|@]|C|$K|L]]|$1|S|3|T|5|6|7|25|8|@]|9|@]|C|$]]|$1|U|3|V|5|6|7|26|8|@]|9|@]|C|$]]|$1|W|3|X|5|J|7|27|8|@]|9|@]|C|$K|L]]|$1|Y|3|Z|5|6|7|28|8|@]|9|@]|C|$]]|$1|10|3|11|5|12|7|29|8|@]|9|@]|C|$]]|$1|13|3|14|5|6|7|2A|8|@]|9|@]|C|$]]|$1|15|3|16|5|17|7|2B|8|@]|9|@$A|2C|B|2D|1|2E]]|C|$]]|$1|18|3|19|5|17|7|2F|8|@]|9|@$A|2G|B|2H|1|2I]]|C|$]]|$1|1A|3|-4|5|6|7|2J|8|@]|9|@]|C|$]]]|1B|$1C|$5|1D|1E|1F|C|$1G|1H]]|1I|$5|1D|1E|1F|C|$1G|1H]]|1J|$5|1D|1E|1F|C|$1G|1H]]|1K|$5|1D|1E|1F|C|$1G|1L]]|1M|$5|1D|1E|1F|C|$1G|1N]]]]

Sometimes the <a href="https://pypi.org/project/protobuf/" rel="noreferrer">protobuf</a> package might be installed without your involvement. For this, you have two solutions to apply. Try one of the below solutions and it should work.
<h2>Solution 1:</h2>
You can downgrade the <a href="https://pypi.org/project/protobuf/" rel="noreferrer">protobuf</a> plugin,
<pre class="lang-none prettyprint-override"><code>pip install protobuf==3.20.*
</code></pre>
Or you can add it to the <code>requirements.txt</code> file as the last package. Because this will override the previously installed <a href="https://pypi.org/project/protobuf/" rel="noreferrer">protobuf</a> package.
<pre class="lang-none prettyprint-override"><code>...
protobuf==3.20.*
</code></pre>
<h2>Solution 2:</h2>
You can set the following environment variable.
<pre class="lang-none prettyprint-override"><code>export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
</code></pre>
according to the error description, this might impact your program performance.
<blockquote>
but this will use pure-Python parsing and will be much slower
</blockquote>
<hr />
References:
<ul>
<li><a href="https://discuss.streamlit.io/t/typeerror-descriptors-cannot-not-be-created-directly/25639" rel="noreferrer">TypeError: Descriptors cannot not be created directly</a></li>
<li><a href="https://github.com/protocolbuffers/protobuf/issues/10051" rel="noreferrer">[Python] Release 4.21.0 broke multiple Google Cloud client libraries (&quot;TypeError: Descriptors cannot not be created directly.&quot;)</a></li>
</ul>

blocks|key|1226826|text|或者，我能够升级到wandb==0.12.17，一切似乎都在正常工作。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1226827|旧(不起作用)：|1226828|++-+pip:
++++++-+wandb==0.10.21|code-block|syntax|javascript|1226829|新的(工作)：|1226830|++-+pip:
++++++-+wandb==0.12.17|1226831|entityMap^0|9|E|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@$9|T|A|U|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|V|8|@]|D|@]|E|$]]|$1|H|3|I|5|J|7|W|8|@]|D|@]|E|$K|L]]|$1|M|3|N|5|6|7|X|8|@]|D|@]|E|$]]|$1|O|3|P|5|J|7|Y|8|@]|D|@]|E|$K|L]]|$1|Q|3|-4|5|6|7|Z|8|@]|D|@]|E|$]]]|R|$]]

Alternatively, I was able to upgrade to <code>wandb==0.12.17</code>, and everything seems to be working.
Old (not working):
<pre class="lang-none prettyprint-override"><code> - pip:
 - wandb==0.10.21
</code></pre>
New (working):
<pre class="lang-none prettyprint-override"><code> - pip:
 - wandb==0.12.17
</code></pre>

blocks|key|19560|text|不能直接创建描述符：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|19561|我们需要将protobuf包的级别从4.21.2降到3.20.1。|ordered-list-item|19562|转到设置→项目→Python解释器→InstallProbuf3.20.1(指定版本)|19563|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$]]|$1|E|3|F|5|D|7|K|8|@]|9|@]|A|$]]|$1|G|3|-4|5|6|7|L|8|@]|9|@]|A|$]]]|H|$]]

Descriptors cannot not be created directly:
<ol>
<li>We need to downgrade the protobuf package from 4.21.2 to 3.20.1.</li>
<li>Go to setting → Project → Python Interpreter → install protobuf 3.20.1 (specify version)</li>
</ol>

blocks|key|1226882|text|解决方案1:降级protobuf+protobuf最近发布了最新版本，该更新的原因会发生此错误。我们所要做的就是将protobuf降级到3.20.1，您的错误就会解决。要降低protobuf的级别，只需在终端中运行此命令即可。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1226883|pip安装--升级"protobuf<=3.20.1“|1226884|或者你可以用武力|1226885|pip安装'protobuf<=3.20.1‘--强制-重新安装|1226886|现在，你的错误必须解决，谢谢。|1226887|解决方案2:将TensorFlow更新为最新版本，TensorFlow已于2022年5月23日发布了最新版本2.9.1，只需更新其最新版本，您的错误就会解决。你可以使用这个命令。|1226888|pip安装tensorflow==2.9.1|1226889|始终使用最新版本的tensorflow|1226890|第一次显示错误，然后再试一次。我希望问题能得到解决。|1226891|entityMap^0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|V|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|W|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|X|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|Y|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|Z|8|@]|9|@]|A|$]]|$1|N|3|O|5|6|7|10|8|@]|9|@]|A|$]]|$1|P|3|Q|5|6|7|11|8|@]|9|@]|A|$]]|$1|R|3|-4|5|6|7|12|8|@]|9|@]|A|$]]]|S|$]]

Solution 1: Downgrade protobuf
protobuf has recently Released the latest version and the Cause of this Update This error Occurs. All We Need to do is just Downgrade protobuf to 3.20.1 and Your error will be solved. To Downgrade protobuf Just Run This command in your terminal.
pip install --upgrade &quot;protobuf&lt;=3.20.1&quot;
Or You can Use Force
pip install 'protobuf&lt;=3.20.1' --force-reinstall
And Now, Your error must be solved Thanks.
Solution 2: Update TensorFlow to the Latest version
TensorFlow has Released the Latest version 2.9.1 On 23 May 2022 Just Update its Latest version and May Your error will be solved. You can use This Command.
pip install tensorflow==2.9.1
Always use latest version of tensorflow
First time show some error then try again. I wish problem will be solved.

blocks|key|136811|text|就连我也遇到了同样的错误|type|unstyled|depth|inlineStyleRanges|entityRanges|data|136812|我通过安装protobuf解决了这个问题|136813|pip安装protobuf==3.20.*|offset|length|style|BOLD|136814|屏幕片段|136815|entityMap|0|LINK|mutability|MUTABLE|url|https://i.stack.imgur.com/9sUVi.png^0|0|0|0|K|0|0|4|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|V|8|@$F|W|G|X|H|I]]|9|@]|A|$]]|$1|J|3|K|5|6|7|Y|8|@]|9|@$F|Z|G|10|1|11]]|A|$]]|$1|L|3|-4|5|6|7|12|8|@]|9|@]|A|$]]]|M|$N|$5|O|P|Q|A|$R|S]]]]

Even I came across same error
I solved it by installing protobuf
pip install protobuf==3.20.*
<a href="https://i.stack.imgur.com/9sUVi.png" rel="nofollow noreferrer">Screen Snippet</a>

blocks|key|19655|text|在升级google云日志之后，我也遇到了同样的问题。我解决了升级谷歌云审计日志的问题。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|19656|pip+install+google-cloud-audit-log==0.2.4|code-block|syntax|javascript|19657|工作版本：|19658|pip+freeze+%7C+grep+google

google-api-core==2.10.2
google-api-python-client==2.57.0
google-auth==2.10.0
google-auth-httplib2==0.1.0
google-auth-oauthlib==0.5.2
google-cloud-appengine-logging==1.1.6
google-cloud-audit-log==0.2.4
google-cloud-core==2.3.2
google-cloud-logging==3.2.5
google-cloud-storage==2.5.0
google-crc32c==1.1.2
google-resumable-media==2.4.0
googleapis-common-protos==1.56.4
grpc-google-iam-v1==0.12.4|19659|我希望这能帮到你。干杯|19660|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Q|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|R|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|S|8|@]|9|@]|A|$]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

I had the same issue after upgrading google cloud logging.
I solved it upgrading google-cloud-audit-log.
<pre><code>pip install google-cloud-audit-log==0.2.4
</code></pre>
Working versions:
<pre><code>pip freeze | grep google

google-api-core==2.10.2
google-api-python-client==2.57.0
google-auth==2.10.0
google-auth-httplib2==0.1.0
google-auth-oauthlib==0.5.2
google-cloud-appengine-logging==1.1.6
google-cloud-audit-log==0.2.4
google-cloud-core==2.3.2
google-cloud-logging==3.2.5
google-cloud-storage==2.5.0
google-crc32c==1.1.2
google-resumable-media==2.4.0
googleapis-common-protos==1.56.4
grpc-google-iam-v1==0.12.4
</code></pre>
I hope this helps. Cheers

I tried to install <a href="https://docs.ray.io/en/latest/" rel="noreferrer">Ray</a>, but it gave an error:
<pre class="lang-none prettyprint-override"><code>TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc &gt;= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
 1. Downgrade the protobuf package to 3.20.x or lower.
 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
</code></pre>
I tried to solve the problem and downgraded protobuf:
<pre class="lang-none prettyprint-override"><code>Name: protobuf
Version: 3.20.0
Summary: Protocol Buffers
Home-page: https://developers.google.com/protocol-buffers/
Author:
Author-email:
License: BSD-3-Clause
Location: d:\opencv\lib\site-packages
Requires:
Required-by: ray, tensorboard, tensorflow
</code></pre>
But still the problem persists in Ray, <a href="https://en.wikipedia.org/wiki/TensorFlow" rel="noreferrer">TensorFlow</a>, and <a href="https://en.wikipedia.org/wiki/Keras" rel="noreferrer">Keras</a>. My application isn't working any more. How can I fix it?

TypeError: Descriptors cannot not be created directly

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

文章

问答

视频

学习中心

腾讯云实验室

直播

竞赛

腾讯云架构师技术同盟交流圈

腾讯云数据库专区

腾讯云顾问专区

腾讯云原生专区

腾讯混元专区

腾讯云TCE专区

腾讯云Lighthouse专区

腾讯云HAI专区

腾讯云Edgeone专区

腾讯云存储专区

腾讯云智能专区

腾讯轻联专区 

腾讯云开发专区

TAPD专区

腾讯轻量云游戏服专区

腾讯云最具价值专家

腾讯云架构师技术同盟

腾讯云创作之星

腾讯云开发者先锋 

腾讯云代码助手

CODING DevOps

Cloud Studio

SDK中心

API中心

命令行工具

我试图安装，但是它出现了一个错误：TypeError: Descriptors cannot not be created directly.If this call came from a _pb2.py file, your generated code is out of date and must be reg...

问TypeError:不能直接创建描述符
EN

Stack Overflow用户

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问TypeError:不能直接创建描述符EN