Sourcery refactored master branch

[sourcery-ai]

Branch master refactored by Sourcery.

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[sourcery-ai]

Function sentiment_polarity refactored with the following changes:

• Replace assignment with augmented assignment (aug-assign)

[sourcery-ai]

Function gather_whole_numbers refactored with the following changes:

• Inline variable that is immediately returned (inline-immediately-returned-variable)

[sourcery-ai]

Function gather_stop_words refactored with the following changes:

• Inline variable that is immediately returned (inline-immediately-returned-variable)

[sourcery-ai]

Function generate_data refactored with the following changes:

• Replace unused for index with underscore (for-index-underscore)

[sourcery-ai]

Sourcery Code Quality Report

✅  Merging this PR will increase code quality in the affected files by 0.43%.

Quality metrics	Before	After	Change
Complexity	1.07 ⭐	1.07 ⭐	0.00
Method Length	23.27 ⭐	22.73 ⭐	-0.54 👍
Working memory	4.93 ⭐	4.80 ⭐	-0.13 👍
Quality	91.03% ⭐	91.46% ⭐	0.43% 👍

Other metrics	Before	After	Change
Lines	97	95	-2

Changed files	Quality Before	Quality After	Quality Change
nlp_profiler/sentiment_polarity.py	85.57% ⭐	85.63% ⭐	0.06% 👍
nlp_profiler/granular_features/numbers.py	95.63% ⭐	96.67% ⭐	1.04% 👍
nlp_profiler/granular_features/stop_words.py	91.41% ⭐	92.43% ⭐	1.02% 👍
slow-tests/performance_tests/common_functions.py	94.11% ⭐	94.11% ⭐	0.00%

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

File	Function	Complexity	Length	Working Memory	Quality	Recommendation

Legend and Explanation

The emojis denote the absolute quality of the code:

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• 🙂 good
• 😞 poor
• ⛔ very poor

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

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Let us know what you think of it by mentioning @sourcery-ai in a comment.

[neomatrix369]

@soucery-ai please take a look at this comment #36 (comment), the formatting could be improved here - empty table can be removed if no recommendations exist

[codecov-io]

Codecov Report

Merging #36 into master will not change coverage.
The diff coverage is 100.00%.

@@            Coverage Diff            @@
##            master       #36   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files           21        21           
  Lines          360       358    -2     
  Branches        51        51           
=========================================
- Hits           360       358    -2     

Impacted Files	Coverage Δ
nlp_profiler/granular_features/numbers.py	100.00% <100.00%> (ø)
nlp_profiler/granular_features/stop_words.py	100.00% <100.00%> (ø)
nlp_profiler/sentiment_polarity.py	100.00% <100.00%> (ø)

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[neomatrix369]

@sourcery-ai I think when you are mention working memory in your reports they are not generated via memory profiling I'm guessing? It might help to mention that in the report. Because now it seems to have gone away but I know many aspects of this library do not run at optimum memory usage and it's one of the things I'm going to be fixing in the near future.

[neomatrix369]

LGTM

Thanks @sourcery-ai