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Reports of Kernel Death are greatly exagerated

See original GitHub issue

Description of your problem

What steps will reproduce the problem?

  1. launch a new Ipython console
  2. during a few seconds, “kernel death” messages are displayed kernel_death_20160922
  3. all is going back in order without human intervention, but for 4 Kernel death message there are 4 “[1]” lines displayed in the new Ipython console kernel_death_20160922b

What is the expected output? What do you see instead?

  • no, or much less reports of “Kernel Death”

Please provide any additional information below

  • it’s more frequent if the pc is slow or busy

Versions and main components

  • Spyder Version:3.0.0-master of 2016-09-21 (“b8”)
  • Python Version: any (3.4)
  • Operating system: Windows 10

Dependencies

Please go to the menu entry Help > Optional Dependencies (or Help > Dependencies), press the button Copy to clipboard and paste the contents below: jedi >=0.8.1 : 0.9.0 (OK) matplotlib >=1.0 : 2.0.0b4 (OK) nbconvert >=4.0 : 4.2.0 (OK) numpy >=1.7 : 1.11.1 (OK) pandas >=0.13.1 : 0.19.0rc1 (OK) pep8 >=0.6 : 1.7.0 (OK) pyflakes >=0.6.0 : 1.3.0 (OK) pygments >=2.0 : 2.1.3 (OK) pylint >=0.25 : 1.6.4 (OK) qtconsole >=4.2.0: 4.2.1 (OK) rope >=0.9.4 : 0.9.4-1 (OK) sphinx >=0.6.6 : 1.4.6 (OK) sympy >=0.7.3 : 1.0 (OK)

Issue Analytics

  • State:closed
  • Created 7 years ago
  • Comments:46 (17 by maintainers)

github_iconTop GitHub Comments

4reactions
mrclarycommented, Oct 23, 2016

Not serious? It renders Spyder unusable. I’d say that is serious. After several minutes, “Kernel died, restarting” returns.

What’s interesting, is that I was using Spyder last night without a problem. Now today, this problem manifests. For both 3.0.0 and 3.0.1.

1reaction
PandyaSmitcommented, Apr 14, 2020

Ran into a similar problem. Tried “Reset Spyder to factory defaults” and it solved my problem.

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