Sourcery refactored main branch

[sourcery-ai]

Branch main refactored by Sourcery.

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[sourcery-ai]

Function main refactored with the following changes:

• Replace call to format with f-string. (use-fstring-for-formatting)

[sourcery-ai]

Function track_confusions refactored with the following changes:

• Simplify conditional into switch-like form (switch)
• Inline variable that is only used once (inline-variable)

[sourcery-ai]

Function print_diff refactored with the following changes:

• Replace a for append loop with list extend (for-append-to-extend)
• Replace unused for index with underscore (for-index-underscore)
• Replace range(0, x) with range(x) (remove-zero-from-range)

This removes the following comments ( why? ):

# For insertions and deletions, put a filler of '***' on the other one, and
# More complicated logic for a substitution
# make the other all caps

[sourcery-ai]

Sourcery Code Quality Report

✅  Merging this PR will increase code quality in the affected files by 0.68%.

Quality metrics	Before	After	Change
Complexity	21.11 😞	18.81 😞	-2.30 👍
Method Length	102.79 🙂	102.29 🙂	-0.50 👍
Working memory	10.84 😞	10.74 😞	-0.10 👍
Quality	53.07% 🙂	53.75% 🙂	0.68% 👍

Other metrics	Before	After	Change
Lines	330	323	-7

Changed files	Quality Before	Quality After	Quality Change
asr_evaluation/asr_evaluation.py	53.07% 🙂	53.75% 🙂	0.68% 👍

Here are some functions in these files that still need a tune-up:

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
asr_evaluation/asr_evaluation.py	print_diff	56 ⛔	411 ⛔	21 ⛔	6.97% ⛔	Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
asr_evaluation/asr_evaluation.py	print_confusions	18 🙂	133 😞	10 😞	48.38% 😞	Try splitting into smaller methods. Extract out complex expressions
asr_evaluation/asr_evaluation.py	process_line_pair	11 🙂	189 😞	10 😞	48.65% 😞	Try splitting into smaller methods. Extract out complex expressions
asr_evaluation/asr_evaluation.py	track_confusions	18 🙂	82 🙂	12 😞	51.50% 🙂	Extract out complex expressions

Legend and Explanation

The emojis denote the absolute quality of the code:

• ⭐ excellent
• 🙂 good
• 😞 poor
• ⛔ very poor

The 👍 and 👎 indicate whether the quality has improved or gotten worse with this pull request.

---

Please see our documentation here for details on how these metrics are calculated.

We are actively working on this report - lots more documentation and extra metrics to come!

Help us improve this quality report!