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| at C:\ | |
| through em\em013\00\data | |
| is Fatalis | |
| Register RegisterVar0 | |
| Register RegisterVar1 | |
| Register RegisterVar2 | |
| Register RegisterVar3 | |
| Register RegisterVar4 | |
| Register RegisterVar5 |
HundSimon
/ totp_secrets.txt
Last active
December 2, 2024 12:41
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| Firefox: HVR4CFHAFOWFGGFAGSA5JVTIMMPG6GMT | |
| Github: MFRGGZDFMZTWQ2LK | |
| Google: GVDV7Q3A4C6V7JHK | |
| Microsoft: MFRGGZDFMZTWQ2LK | |
| DuckDuckGo: GEZDGNBVGY3TQOJQ | |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣀⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ | |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡤⠤⠤⠤⠴⠶⠶⠒⠚⠋⠉⠉⠉⠉⣷⢀⣀⡤⠤⠶⠶⠒⠛⢶⡄⠀⠀⠀ | |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣼⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣠⡀⠀⣿⠉⠀⠀⠀⠀⠀⠀⠀⠀⢿⡀⠀⠀ | |
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠰⣇⣾⠀⠀⠀⠀⣴⡄⢠⣿⣄⡀⣰⠏⠙⠛⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⣧⠀⠀ |
HundSimon
/ entropy_weight_method.py
Last active
June 11, 2024 07:18
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| import pandas as pd | |
| import numpy as np | |
| from scipy.stats import entropy | |
| def calculate_entropy(data, n): | |
| return 1/np.log(n)*entropy(data) | |
| def calculate_weights(entropy_list): | |
| weight_list = [1 - entropy_i for entropy_i in entropy_list] | |
| return weight_list / sum(weight_list) |