Sourcery refactored master branch

[sourcery-ai]

Branch master refactored by Sourcery.

If you're happy with these changes, merge this Pull Request using the Squash and merge strategy.

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To manually merge these changes, make sure you're on the master branch, then run:

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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]

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 0.31%.

Quality metrics	Before	After	Change
Complexity	1.00 ⭐	1.00 ⭐	0.00
Method Length	35.48 ⭐	35.10 ⭐	-0.38 👍
Working memory	5.76 ⭐	5.67 ⭐	-0.09 👍
Quality	87.71% ⭐	88.02% ⭐	0.31% 👍

Other metrics	Before	After	Change
Lines	205	203	-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/test_perf_grammar_check.py	85.30% ⭐	85.30% ⭐	0.00%
slow-tests/performance_tests/test_perf_spelling_check.py	85.30% ⭐	85.30% ⭐	0.00%

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

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
slow-tests/performance_tests/test_perf_grammar_check.py	test_given_a_text_column_when_profiler_is_applied_with_high_level_analysis_then_it_finishes_quick	2 ⭐	122 😞	12 😞	60.51% 🙂	Try splitting into smaller methods. Extract out complex expressions
slow-tests/performance_tests/test_perf_spelling_check.py	test_given_a_text_column_when_profiler_is_applied_with_high_level_analysis_then_it_finishes_quick	2 ⭐	122 😞	12 😞	60.51% 🙂	Try splitting into smaller methods. 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!

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

[neomatrix369]

Closing now and regenerating PR