Sourcery Code Quality Report

❌ Merging this PR will decrease code quality in the affected files by 0.02%.

Quality metrics	Before	After	Change
Complexity	4.08 ⭐	4.02 ⭐	-0.06 👍
Method Length	46.06 ⭐	48.93 ⭐	2.87 👎
Working memory	10.91 😞	14.40 😞	3.49 👎
Quality	73.74% 🙂	73.72% 🙂	-0.02% 👎

Other metrics	Before	After	Change
Lines	3368	4245	877

Changed files	Quality Before	Quality After	Quality Change
pythonbible/init.py	83.42% ⭐	82.94% ⭐	-0.48% 👎
pythonbible/converter.py	49.69% 😞	51.92% 🙂	2.23% 👍
pythonbible/formatter.py	66.93% 🙂	73.69% 🙂	6.76% 👍
pythonbible/normalized_reference.py	98.67% ⭐	97.84% ⭐	-0.83% 👎
pythonbible/parser.py	48.46% 😞	51.11% 🙂	2.65% 👍
pythonbible/regular_expressions.py	37.05% 😞	44.84% 😞	7.79% 👍
pythonbible/roman_numeral_util.py	78.83% ⭐	77.62% ⭐	-1.21% 👎
pythonbible/verses.py	80.34% ⭐	81.74% ⭐	1.40% 👍
tests/conftest.py	91.75% ⭐	90.29% ⭐	-1.46% 👎
tests/test_converter.py	91.34% ⭐	90.68% ⭐	-0.66% 👎
tests/test_formatter.py	84.58% ⭐	86.95% ⭐	2.37% 👍
tests/test_parser.py	86.30% ⭐	81.81% ⭐	-4.49% 👎
tests/test_regular_expressions.py	81.97% ⭐	84.69% ⭐	2.72% 👍

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

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
tests/conftest.py	book_alternative_names	0 ⭐	566 ⛔	361 ⛔	33.59% 😞	Try splitting into smaller methods. Extract out complex expressions
pythonbible/parser.py	_process_sub_reference	14 🙂	229 ⛔	14 😞	36.60% 😞	Try splitting into smaller methods. Extract out complex expressions
pythonbible/parser.py	normalize_reference	18 🙂	190 😞	13 😞	37.56% 😞	Try splitting into smaller methods. Extract out complex expressions
pythonbible/converter.py	convert_verse_ids_to_references	11 🙂	181 😞	15 😞	41.45% 😞	Try splitting into smaller methods. Extract out complex expressions
pythonbible/formatter.py	format_scripture_text_verse_by_verse	13 🙂	112 🙂	15 😞	47.15% 😞	Extract out complex expressions

Legend and Explanation

The emojis denote the absolute quality of the code:

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.