JG tlkahn

How to write your own Solidity linter using Slang

… in 25 lines of code!

Jun 14, 2024 • 6 min read

Smart Contract Weakness Classification (SWC)

The content of the SWC registry has not been thoroughly updated since 2020. It is known to be incomplete and may contain errors as well as crucial omissions.

For currently maintained guidance on known Smart Contract vulnerabilities written primarily as guidance for security reviewers, please see the EEA EthTrust Security Levels specification. As well as the latest release version, an Editor’s draft is available, that represents the latest work of the group developing the specification.

General guidance for developers on how to ensure security, that is currently maintained, is also available through the Smart Contract Security Verification Standard (SCSVS), or the Smart Contract Security Field Guide.

The following table contains an overview of the SWC registry. Eac

The idea of a snail crawling from Earth to Mars is a fun hypothetical scenario! While it's not physically possible for a snail to survive and move through space, we can calculate how long it would take based on average distances and the snail's typical speed.

Snail's Average Speed

Average speed of a common garden snail: Approximately 1 millimeter per second (mm/s), which is 0.001 meters per second (m/s).

Distance Between Earth and Mars

The distance between Earth and Mars varies due to their elliptical orbits around the Sun:

The idea of a snail crawling from Earth to Mars

	import random

	def quirky_text_converter(text):
	"""
	Convert normal text to a quirky, alternating case with intermittent capitalization.

	Parameters:
	text (str): The text to convert.

	Returns:

	import random
	from typing import List, Tuple
	import ell


	@ell.simple(model="gpt-4o-mini", temperature=1.0)
	def random_number() -> str:
	"""You are silly robot. Only respond with a number."""
	return "Come with up with a random number"

	from typing import List, Tuple

	class Polynomial:
	def __init__(self, neg: List[float], pos: List[float]):
	"""
	Initialize the polynomial.
	- neg: Coefficients for negative exponents, ordered from x^{-1}, x^{-2}, ...
	- pos: Coefficients for non-negative exponents, ordered from x^{0}, x^{1}, ...
	"""
	self.neg = neg.copy() # e.g., [a1, a2, ...] for a1x^{-1} + a2x^{-2} + ...

	import numpy as np

	def gaussian_elimination(A, b):
	"""
	Gaussian elimination is a method for solving systems of linear equations. It involves transforming a matrix into row echelon form through a series of elementary row operations. Key points:

	1. Used to solve linear systems: $Ax = b$
	2. Steps:
	- Convert to augmented matrix [A\|b]
	- Transform to row echelon form

	require 'net/http'
	require 'json'

	uri = URI('http://localhost:8000/v1/chat/completions')
	request = Net::HTTP::Post.new(uri, 'Content-Type' => 'application/json')
	request.body = {
	model: 'meta-llama/Llama-3.2-1B',
	messages: [{ role: 'user', content: ARGV[0] }],
	chat_template: "{% for message in messages %}{{'\u003chuman\u003e' if message.role == 'user' else '\u003cassistant\u003e'}}{{ message.content }}{% if not loop.last %}{{ '\\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}\\n\u003cassistant\u003e{% endif %}",
	max_tokens: 100,