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Eip1559

EIP1559 Analysis

Install / Use

/learn @gakonst/Eip1559
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

EIP1559 Simulations

Requires poetry

Quick start:

  1. poetry install
  2. poetry run python seasonality.py 4 32 60

Scripts Explanation

  • back_to_normal prints how many blocks of a certain size are needed to get back to the initial basefee amount after a prolonged period of congestion
  • exponential prints an exponential graph of y=1.125^x where x is the number of blokcs since the start of the experiment
  • path shows that EIP1559 is path independent for same-length paths, but path dependent favoring smaller paths with smaller basefee increases
  • seasonality shows the behavior of the basefee when there's a seasonality (e.g. 4h of low demand, 4h of high demand)
  • utils contains various utilities for calculating fees etc.

Related Skills

View on GitHub
GitHub Stars22
CategoryDevelopment
Updated11mo ago
Forks2

Languages

Python

Security Score

62/100

Audited on Apr 3, 2025

No findings