Optimization of wfdb.io.annotation.field2bytes function #406
Merged
cx1111 merged 4 commits intoMIT-LCP:mainfrom Aug 30, 2022
Merged
Optimization of wfdb.io.annotation.field2bytes function #406cx1111 merged 4 commits intoMIT-LCP:mainfrom
cx1111 merged 4 commits intoMIT-LCP:mainfrom
Conversation
cx1111
reviewed
Jul 14, 2022
cx1111
approved these changes
Aug 30, 2022
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Hi,
I noticed writing an annotation file was slow for a file with many annotations.
Running line-profiling on writing functions, I found out that the
field2bytesfunction was taking up most of the execution time.So, it turns out that the problem was with this line:
typecode = ann_label_table.loc[ann_label_table["symbol"] == value[1], "label_store"].values[0]What happened was that we filtered through all the
ann_label_tableDataFrame for every input value offield2bytes, so this was pretty slow. Instead, I added a dictionnary that maps every symbols to its corresponding label, which is much faster (see the time profiler output below)Time profilers
Current version
New version