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    <title>topic typing extensions import match error in Get Started Discussions</title>
    <link>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/72017#M9239</link>
    <description>&lt;P&gt;&lt;SPAN&gt;I am trying to install the stanza library and try to create a udf function to create NER tags for my chunk_text in the dataframe.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Cluster Config&lt;/STRONG&gt;: DBR 14.3 LTS SPARK 3.5.0 SCALA 2.12&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;below code:&lt;/STRONG&gt;&lt;/P&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;def&lt;/SPAN&gt; &lt;SPAN&gt;extract_entities&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;text&lt;/SPAN&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":disappointed_face:"&gt;😞&lt;/span&gt;&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &lt;/SPAN&gt;&lt;SPAN&gt;import&lt;/SPAN&gt;&lt;SPAN&gt; stanza&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; nlp &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt; stanza.&lt;/SPAN&gt;&lt;SPAN&gt;Pipeline&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;'en'&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;processors&lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt;'tokenize,ner'&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;use_gpu&lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt;False&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; doc &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt; &lt;SPAN&gt;nlp&lt;/SPAN&gt;&lt;SPAN&gt;(text)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; entities &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt; [(entity.text, entity.type) &lt;/SPAN&gt;&lt;SPAN&gt;for&lt;/SPAN&gt;&lt;SPAN&gt; sentence &lt;/SPAN&gt;&lt;SPAN&gt;in&lt;/SPAN&gt;&lt;SPAN&gt; doc.sentences &lt;/SPAN&gt;&lt;SPAN&gt;for&lt;/SPAN&gt;&lt;SPAN&gt; entity &lt;/SPAN&gt;&lt;SPAN&gt;in&lt;/SPAN&gt;&lt;SPAN&gt; sentence.ents]&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &lt;/SPAN&gt;&lt;SPAN&gt;return&lt;/SPAN&gt;&lt;SPAN&gt; entities&lt;/SPAN&gt;&lt;/DIV&gt;&lt;BR /&gt;&lt;DIV&gt;&lt;SPAN&gt;# Register the UDF&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;entity_udf &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt; &lt;SPAN&gt;udf&lt;/SPAN&gt;&lt;SPAN&gt;(extract_entities, &lt;/SPAN&gt;&lt;SPAN&gt;ArrayType&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;StructType&lt;/SPAN&gt;&lt;SPAN&gt;([&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &lt;/SPAN&gt;&lt;SPAN&gt;StructField&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"text"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;StringType&lt;/SPAN&gt;&lt;SPAN&gt;(), &lt;/SPAN&gt;&lt;SPAN&gt;True&lt;/SPAN&gt;&lt;SPAN&gt;),&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &lt;/SPAN&gt;&lt;SPAN&gt;StructField&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"type"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;StringType&lt;/SPAN&gt;&lt;SPAN&gt;(), &lt;/SPAN&gt;&lt;SPAN&gt;True&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;])))&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;df&lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt;spark&lt;/SPAN&gt;&lt;SPAN&gt;.sql&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"&lt;/SPAN&gt;&lt;SPAN&gt;select&lt;/SPAN&gt; &lt;SPAN&gt;*&lt;/SPAN&gt; &lt;SPAN&gt;from&lt;/SPAN&gt; &lt;SPAN&gt;datafabric_catalog&lt;/SPAN&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;SPAN&gt;gen_ai&lt;/SPAN&gt;&lt;SPAN&gt;.wiki &lt;/SPAN&gt;&lt;SPAN&gt;limit&lt;/SPAN&gt; &lt;SPAN&gt;1&lt;/SPAN&gt;&lt;SPAN&gt;"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;BR /&gt;&lt;DIV&gt;&lt;SPAN&gt;df_with_entities &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt; df.&lt;/SPAN&gt;&lt;SPAN&gt;withColumn&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"entities"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;entity_udf&lt;/SPAN&gt;&lt;SPAN&gt;(df[&lt;/SPAN&gt;&lt;SPAN&gt;"chunk_text"&lt;/SPAN&gt;&lt;SPAN&gt;]))&lt;/SPAN&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;P&gt;&lt;STRONG&gt;it throws the following error:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT color="#FF0000"&gt;&lt;SPAN&gt;from typing_extensions import Literal, Match, TypedDict ImportError: cannot import name 'Match' from 'typing_extensions' (/databricks/python3/lib/python3.10/site-packages/typing_extensions.py)&lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;</description>
    <pubDate>Fri, 07 Jun 2024 10:13:34 GMT</pubDate>
    <dc:creator>vigneshkannan12</dc:creator>
    <dc:date>2024-06-07T10:13:34Z</dc:date>
    <item>
      <title>typing extensions import match error</title>
      <link>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/72017#M9239</link>
      <description>&lt;P&gt;&lt;SPAN&gt;I am trying to install the stanza library and try to create a udf function to create NER tags for my chunk_text in the dataframe.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Cluster Config&lt;/STRONG&gt;: DBR 14.3 LTS SPARK 3.5.0 SCALA 2.12&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;below code:&lt;/STRONG&gt;&lt;/P&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;def&lt;/SPAN&gt; &lt;SPAN&gt;extract_entities&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;text&lt;/SPAN&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":disappointed_face:"&gt;😞&lt;/span&gt;&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &lt;/SPAN&gt;&lt;SPAN&gt;import&lt;/SPAN&gt;&lt;SPAN&gt; stanza&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; nlp &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt; stanza.&lt;/SPAN&gt;&lt;SPAN&gt;Pipeline&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;'en'&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;processors&lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt;'tokenize,ner'&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;use_gpu&lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt;False&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; doc &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt; &lt;SPAN&gt;nlp&lt;/SPAN&gt;&lt;SPAN&gt;(text)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; entities &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt; [(entity.text, entity.type) &lt;/SPAN&gt;&lt;SPAN&gt;for&lt;/SPAN&gt;&lt;SPAN&gt; sentence &lt;/SPAN&gt;&lt;SPAN&gt;in&lt;/SPAN&gt;&lt;SPAN&gt; doc.sentences &lt;/SPAN&gt;&lt;SPAN&gt;for&lt;/SPAN&gt;&lt;SPAN&gt; entity &lt;/SPAN&gt;&lt;SPAN&gt;in&lt;/SPAN&gt;&lt;SPAN&gt; sentence.ents]&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &lt;/SPAN&gt;&lt;SPAN&gt;return&lt;/SPAN&gt;&lt;SPAN&gt; entities&lt;/SPAN&gt;&lt;/DIV&gt;&lt;BR /&gt;&lt;DIV&gt;&lt;SPAN&gt;# Register the UDF&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;entity_udf &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt; &lt;SPAN&gt;udf&lt;/SPAN&gt;&lt;SPAN&gt;(extract_entities, &lt;/SPAN&gt;&lt;SPAN&gt;ArrayType&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;StructType&lt;/SPAN&gt;&lt;SPAN&gt;([&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &lt;/SPAN&gt;&lt;SPAN&gt;StructField&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"text"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;StringType&lt;/SPAN&gt;&lt;SPAN&gt;(), &lt;/SPAN&gt;&lt;SPAN&gt;True&lt;/SPAN&gt;&lt;SPAN&gt;),&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &lt;/SPAN&gt;&lt;SPAN&gt;StructField&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"type"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;StringType&lt;/SPAN&gt;&lt;SPAN&gt;(), &lt;/SPAN&gt;&lt;SPAN&gt;True&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;])))&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;df&lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt;spark&lt;/SPAN&gt;&lt;SPAN&gt;.sql&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"&lt;/SPAN&gt;&lt;SPAN&gt;select&lt;/SPAN&gt; &lt;SPAN&gt;*&lt;/SPAN&gt; &lt;SPAN&gt;from&lt;/SPAN&gt; &lt;SPAN&gt;datafabric_catalog&lt;/SPAN&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;SPAN&gt;gen_ai&lt;/SPAN&gt;&lt;SPAN&gt;.wiki &lt;/SPAN&gt;&lt;SPAN&gt;limit&lt;/SPAN&gt; &lt;SPAN&gt;1&lt;/SPAN&gt;&lt;SPAN&gt;"&lt;/SPAN&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;BR /&gt;&lt;DIV&gt;&lt;SPAN&gt;df_with_entities &lt;/SPAN&gt;&lt;SPAN&gt;=&lt;/SPAN&gt;&lt;SPAN&gt; df.&lt;/SPAN&gt;&lt;SPAN&gt;withColumn&lt;/SPAN&gt;&lt;SPAN&gt;(&lt;/SPAN&gt;&lt;SPAN&gt;"entities"&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;entity_udf&lt;/SPAN&gt;&lt;SPAN&gt;(df[&lt;/SPAN&gt;&lt;SPAN&gt;"chunk_text"&lt;/SPAN&gt;&lt;SPAN&gt;]))&lt;/SPAN&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;P&gt;&lt;STRONG&gt;it throws the following error:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT color="#FF0000"&gt;&lt;SPAN&gt;from typing_extensions import Literal, Match, TypedDict ImportError: cannot import name 'Match' from 'typing_extensions' (/databricks/python3/lib/python3.10/site-packages/typing_extensions.py)&lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 07 Jun 2024 10:13:34 GMT</pubDate>
      <guid>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/72017#M9239</guid>
      <dc:creator>vigneshkannan12</dc:creator>
      <dc:date>2024-06-07T10:13:34Z</dc:date>
    </item>
    <item>
      <title>Re: typing extensions import match error</title>
      <link>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/76396#M9240</link>
      <description>&lt;P&gt;Did you end up solving this?&lt;BR /&gt;&lt;BR /&gt;I am getting a similar issue on DB with 13.4 and 14.4 LTS.&amp;nbsp;&lt;BR /&gt;ImportError: cannot import name 'override' from 'typing_extensions' (/databricks/python3/lib/python3.10/site-packages/typing_extensions.py)&lt;BR /&gt;== Stacktrace ==&lt;BR /&gt;File "/home/spark-f18133fd-0fbd-4dd5-8ab0-a6/.ipykernel/1940/command-1617845290167209-140570505", line 39, in &amp;lt;lambda&amp;gt;&lt;BR /&gt;File "/home/spark-f18133fd-0fbd-4dd5-8ab0-a6/.ipykernel/1940/command-1617845290167209-140570505", line 22, in get_embedding&lt;BR /&gt;File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-f18133fd-0fbd-4dd5-8ab0-a6fe7e41de88/lib/python3.10/site-packages/langchain_openai/__init__.py", line 1, in &amp;lt;module&amp;gt;&lt;BR /&gt;from langchain_openai.chat_models import AzureChatOpenAI, ChatOpenAI&lt;BR /&gt;File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-f18133fd-0fbd-4dd5-8ab0-a6fe7e41de88/lib/python3.10/site-packages/langchain_openai/chat_models/__init__.py", line 1, in &amp;lt;module&amp;gt;&lt;BR /&gt;from langchain_openai.chat_models.azure import AzureChatOpenAI&lt;BR /&gt;File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-f18133fd-0fbd-4dd5-8ab0-a6fe7e41de88/lib/python3.10/site-packages/langchain_openai/chat_models/azure.py", line 22, in &amp;lt;module&amp;gt;&lt;BR /&gt;import openai&lt;BR /&gt;File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-f18133fd-0fbd-4dd5-8ab0-a6fe7e41de88/lib/python3.10/site-packages/openai/__init__.py", line 6, in &amp;lt;module&amp;gt;&lt;BR /&gt;from typing_extensions import override&lt;BR /&gt;at com.databricks.sql.execution.safespark.SafesparkErrorMessages$.createSparkRuntimeException(SafesparkErrorMessages.scala:134)&lt;BR /&gt;at com.databricks.sql.execution.safespark.SafesparkErrorMessages$.convertT&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 01 Jul 2024 18:47:57 GMT</pubDate>
      <guid>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/76396#M9240</guid>
      <dc:creator>Kaizen</dc:creator>
      <dc:date>2024-07-01T18:47:57Z</dc:date>
    </item>
    <item>
      <title>Re: typing extensions import match error</title>
      <link>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/82276#M9241</link>
      <description>&lt;P&gt;Was this resolved?&lt;/P&gt;&lt;P&gt;I installed openai and tried to import and faced the below error. I also tried upgrading the libraries. However I ended up with the same error.&lt;/P&gt;&lt;P&gt;Code: import openai&lt;BR /&gt;Error:&amp;nbsp;&lt;SPAN class=""&gt;ImportError: &lt;/SPAN&gt;&lt;SPAN&gt;cannot import name 'override' from 'typing_extensions' (/databricks/python/lib/python3.10/site-packages/typing_extensions.py)&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;pip --version =&amp;gt;&amp;nbsp;pip 24.2&lt;BR /&gt;openai -version =&amp;gt; 1.40.1&lt;BR /&gt;typing_extensions =&amp;gt; 4.12.2&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Cluster config:&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;&lt;DIV class=""&gt;&lt;SPAN class=""&gt;DBR = 13.3 LTS (includes Apache Spark 3.4.1, Scala 2.12)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV class=""&gt;&lt;DIV class=""&gt;&lt;DIV class=""&gt;&amp;nbsp;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Wed, 07 Aug 2024 18:03:08 GMT</pubDate>
      <guid>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/82276#M9241</guid>
      <dc:creator>SaadhikaB</dc:creator>
      <dc:date>2024-08-07T18:03:08Z</dc:date>
    </item>
    <item>
      <title>Re: typing extensions import match error</title>
      <link>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/113204#M9242</link>
      <description>&lt;P&gt;Hi, do you resolve this issue? I also met this issue while using llm.&lt;/P&gt;</description>
      <pubDate>Thu, 20 Mar 2025 19:18:27 GMT</pubDate>
      <guid>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/113204#M9242</guid>
      <dc:creator>ssling0817</dc:creator>
      <dc:date>2025-03-20T19:18:27Z</dc:date>
    </item>
    <item>
      <title>Re: typing extensions import match error</title>
      <link>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/113208#M9243</link>
      <description>&lt;P&gt;Hi, I was able to resolve this when I restarted the python library in Databricks.&amp;nbsp;&lt;BR /&gt;Let me know if that helps&lt;BR /&gt;&lt;BR /&gt;Code:&lt;/P&gt;&lt;LI-CODE lang="markup"&gt;pip install openai

dbutils.library.restartPython()

from openai import AzureOpenAI&lt;/LI-CODE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 20 Mar 2025 19:30:03 GMT</pubDate>
      <guid>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/113208#M9243</guid>
      <dc:creator>SaadhikaB</dc:creator>
      <dc:date>2025-03-20T19:30:03Z</dc:date>
    </item>
    <item>
      <title>Re: typing extensions import match error</title>
      <link>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/113229#M9244</link>
      <description>&lt;P&gt;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/115216"&gt;@SaadhikaB&lt;/a&gt;&amp;nbsp;&lt;BR /&gt;Hi, when I run&amp;nbsp; dbutils.library.restartPython(), I get the following error&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="image.png" style="width: 844px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/15551i5CF5E3984A8E3934/image-size/large?v=v2&amp;amp;px=999" role="button" title="image.png" alt="image.png" /&gt;&lt;/span&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 20 Mar 2025 22:38:13 GMT</pubDate>
      <guid>https://community.databricks.com/t5/get-started-discussions/typing-extensions-import-match-error/m-p/113229#M9244</guid>
      <dc:creator>Optimusprime</dc:creator>
      <dc:date>2025-03-20T22:38:13Z</dc:date>
    </item>
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