feat: add mlh command (Sourcery refactored)

[sourcery-ai[bot]]

Pull Request #102 refactored by Sourcery.

Since the original Pull Request was opened as a fork in a contributor's repository, we are unable to create a Pull Request branching from it.

To incorporate these changes, you can either:

1. Merge this Pull Request instead of the original, or

2. Ask your contributor to locally incorporate these commits and push them to the original Pull Request

   Incorporate changes via command line

   git fetch https://github.com/starlightknown/Cyberon pull/102/head
   git merge --ff-only FETCH_HEAD
   git push

NOTE: As code is pushed to the original Pull Request, Sourcery will re-run and update (force-push) this Pull Request with new refactorings as necessary. If Sourcery finds no refactorings at any point, this Pull Request will be closed automatically.

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[sourcery-ai[bot]]

Sourcery Code Quality Report

✅  Merging this PR will increase code quality in the affected files by 1.37%.

Quality metrics	Before	After	Change
Complexity	10.15 🙂	9.31 🙂	-0.84 👍
Method Length	73.22 🙂	73.09 🙂	-0.13 👍
Working memory	9.59 🙂	9.43 🙂	-0.16 👍
Quality	61.46% 🙂	62.83% 🙂	1.37% 👍

Other metrics	Before	After	Change
Lines	733	759	26

Changed files	Quality Before	Quality After	Quality Change
bot.py	67.13% 🙂	69.88% 🙂	2.75% 👍
scrapper.py	90.20% ⭐	90.20% ⭐	0.00%
cogs/Utils.py	56.41% 🙂	57.51% 🙂	1.10% 👍

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

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
cogs/Utils.py	GeneralCog.avatar	37 ⛔	304 ⛔	15 😞	18.40% ⛔	Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
cogs/Utils.py	GeneralCog.userinfo	33 ⛔	373 ⛔	14 😞	19.60% ⛔	Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
bot.py	on_message_edit	7 ⭐	108 🙂	24 ⛔	46.87% 😞	Extract out complex expressions
cogs/Utils.py	GeneralCog.wiki	8 ⭐	121 😞	12 😞	54.78% 🙂	Try splitting into smaller methods. Extract out complex expressions
bot.py	on_member_remove	5 ⭐	147 😞	11 😞	56.38% 🙂	Try splitting into smaller methods. Extract out complex expressions

Legend and Explanation

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• 🙂 good
• 😞 poor
• ⛔ very poor

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