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Use different method for checking if kernelspec is available #10114
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Codecov Report
@@ Coverage Diff @@
## master #10114 +/- ##
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- Coverage 61.33% 61.31% -0.02%
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Files 567 567
Lines 30648 30655 +7
Branches 4393 4393
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- Hits 18797 18796 -1
- Misses 10873 10882 +9
+ Partials 978 977 -1
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* Use different method for checking if kernelspec is available * Fix unit tests
* Better messaging on notebook fail (#10056) * Install jupyter instead of installing kernel spec (#10080) * Install jupyter instead of installing kernel spec For #10071 * Eliminate variable value when computing data frame info (#10081) * Fix ndarray types to be viewable again (#10093) * Eliminate variable value when computing data frame info * Fix ndarrays to work again Add test to make sure we don't regress this again * Rchiodo/kernel telemetry (#10115) * Add duration to select local/remote kernel * Add notebook language telemetry * Add news entries * #9883 telemetry * News entry * Another spot for kernel spec failure * Add telemetry on product install * Fix install telemetry * Undo launch.json change * Handle other cases * Better way to handle case * Wrong event for jupyter install * Fix unit tests * Clear variables when restarting regardless if visible or not (#10117) * Use different method for checking if kernelspec is available (#10114) * Use different method for checking if kernelspec is available * Fix unit tests * More logging for kernelspec problems (#10132) * More logging for kernelspec problems * Actually capture the exception on the new code * Not actually using output if first exception still there. * Actually only return output on one of the expected calls. * Fix nightly flake * Check our saved jupyter interpreters before allowing any of them to be used as active interpreters (#10113) * Update changelog and package.json * Missing part of changelog * Fix tests and linter problems Co-authored-by: Ian Huff <ian.huff@gmail.com> Co-authored-by: Don Jayamanne <don.jayamanne@yahoo.com>
For https://github.com/microsoft/vscode-python/issues/10071
Instead of using 'python -m jupyter kernelspec --version', run some python code to do the same thing.
Hopefully this will make it work when the python command line doesn't.