134792445b
Each project type might have a list of allowed envs. For Jupyter this is conda only. We store user choice and restore it back on the next new project trying to suggest the same env type user used previously. However, we must limit this by a list of allowed interpreters: even if vanilla CPython was used for the previous project, we still can't use it for Jupyter. GitOrigin-RevId: cb0e5b311d1f2020df474df9fe436875a386f55c
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:
-
Download the .tar.gz distribution of the most recent EAP or release build of IntelliJ IDEA Community Edition;
-
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