fix: remove tqdm that may cause CI test to hang#861
Merged
yitchen-tim merged 2 commits intomainfrom Apr 3, 2026
Merged
Conversation
|
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
rmshaffer
approved these changes
Apr 3, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Problem
02_Expectation_value_calculations_with_program_sets.ipynbis currently excluded from CI testing (EXCLUDED_NOTEBOOKSintest_all_notebooks.py) because it intermittently hangs during automated execution, sometimes completing in ~2 minutes and other times running until the 600-secondtestbooktimeout kills it.Hypothesis
We suspect that
tqdmmay have cause the issue. Some github issues report thattqdmcan trigger deadlock and cause programs to hang.Changes
All changes are in
02_Expectation_value_calculations_with_program_sets.ipynb:from tqdm import tqdmimport.tqdm(range(num_trials))with a plain loop that usesprint(..., end="\r")for lightweight progress reporting that doesn't flood IOPub.%%timecell magic to the two trial cells so execution time is still visible in notebook output.