Sourcery Code Quality Report

❌ Merging this PR will decrease code quality in the affected files by 0.20%.

Quality metrics	Before	After	Change
Complexity	8.31 ⭐	8.55 🙂	0.24 👎
Method Length	41.12 ⭐	41.29 ⭐	0.17 👎
Working memory	8.61 🙂	8.59 🙂	-0.02 👍
Quality	65.49% 🙂	65.29% 🙂	-0.20% 👎

Other metrics	Before	After	Change
Lines	742	746	4

Changed files	Quality Before	Quality After	Quality Change
setup.py	59.35% 🙂	59.35% 🙂	0.00%
src/python/genrv/init.py	100.00% ⭐	100.00% ⭐	0.00%
src/python/rv/init.py	100.00% ⭐	100.00% ⭐	0.00%
src/python/rv/project.py	53.13% 🙂	53.21% 🙂	0.08% 👍
src/python/rv/modules/metamodule.py	78.74% ⭐	78.28% ⭐	-0.46% 👎
src/python/rv/readers/sunvox.py	81.51% ⭐	80.52% ⭐	-0.99% 👎
src/python/rv/tools/player.py	41.69% 😞	41.80% 😞	0.11% 👍

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

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
src/python/rv/project.py	Project.attach_module.attach_pattern.chunks	20 😞	387 ⛔	9 🙂	35.39% 😞	Refactor to reduce nesting. Try splitting into smaller methods
src/python/rv/tools/player.py	main	13 🙂	291 ⛔	13 😞	35.94% 😞	Try splitting into smaller methods. Extract out complex expressions
src/python/rv/project.py	Project.attach_module.attach_pattern.connect	24 😞	176 😞	10 😞	39.82% 😞	Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
src/python/rv/project.py	Project.attach_module.attach_pattern.chunks.pattern_lines	14 🙂	158 😞	14 😞	42.25% 😞	Try splitting into smaller methods. Extract out complex expressions
src/python/rv/readers/sunvox.py	SunVoxReader.process_end_of_file	24 😞	142 😞	8 🙂	47.49% 😞	Refactor to reduce nesting. Try splitting into smaller methods

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.