Project: 003_Knowledge_Entropy_Decay_during_Language_Model_Pret | Function: main (iclr)

system: You are an expert Python programmer implementing algorithms from scientific papers.
Complete the masked function based on the algorithm description.
Follow Python best practices and maintain consistent code style.
Return **only** the complete Python function code.

user: Complete this Python function:

**DESCRIPTION:** Resuscitation algorithm that identifies and amplifies inactive memory vectors to restore knowledge acquisition capability

**KEY TERMS:** {
  "avg_act_abs": "average coefficient C̄ᵗ",
  "layer_idx": "layer l",
  "mlp_dimension": "dimension m",
  "entropy_avg_act_abs": "knowledge entropy H(θ)"
}

**CONTEXT CODE:** import torch
import argparse
import os

def main(step, resuscitation_ratio, amplifying_factor):
    raise NotImplementedError("Function implementation has been masked for testing")
if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("--step", type=int, default=None)
    parser.add_argument("--resuscitation_ratio", type=float, default=None)
    parser.add_argument("--amplifying_factor", type=float, default=None)
    
    args = parser.parse_args()
    main(args.step, args.resuscitation_ratio, args.amplifying_factor)

Complete the function implementation replacing "raise NotImplementedError".