f9d6899d51
* In case of sorted table, we get a dict for numpy and numpy_based tables. After that, we should extract a specific type of table and define the right python_code_provider. For tf.EagerTensor and tf.ResourceVariable tables the wrong python_code_provider was selected (cherry picked from commit 62596418a8ac942136379f814bfdac57b60b697a) (cherry picked from commit 8c9d39f2e82a64d3794fd84d50c255f15becb8b9) IJ-CR-147319 GitOrigin-RevId: 939dbaa2d97812cd8a040d0fc22fc33cbed800ad
PyCharm Community Edition
The "python" directory in the source repository contains the source code of PyCharm Community Edition and the Python plugin for IntelliJ IDEA Community Edition.
Building and Running
The code is part of the main IntelliJ IDEA Community Edition project and is compiled together with the rest of the codebase. To run PyCharm Community Edition, please use the provided run configuration "PyCharm Community Edition". To run IntelliJ IDEA with the Python plugin, please use the "IDEA with Python plugin" run configuration.
To run the test suite, use the built-in JUnit test runner and run all tests in the "python-community-tests" module.
Building from the Command Line
To build the distribution archive of PyCharm Community Edition, execute build.xml Ant build script in this directory. The results of the build execution can be found at out/artifacts.
Building the Python Plugin
To build the Python plugin for IntelliJ IDEA Community Edition:
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Download the .tar.gz distribution of the most recent EAP or release build of IntelliJ IDEA Community Edition;
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Run the following command:
ant -Didea.path= -Didea.build.number=<build number of the build you're using> plugin
The .zip file of the built plugin will be placed at distCE/python-community-.SNAPSHOT.zip