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Sublinear_variable_difficul…/statisticsFromHashes.py

58 lines
1.5 KiB
Python

import os, math, matplotlib.pyplot as plt
path = '/home/benjamin/Desktop/bens_folder/school/m2/internship/work/romaric/me/'
os.chdir(path)
def getDifficultyOfHash(hexHash):
return int(hexHash, 16)
difficultyRatios = {}
X, Y = [], []
with open('hashes.txt') as f:
lines = f.read().splitlines()
for line in lines:
lineParts = line.split()
hash = lineParts[0]
target = lineParts[1]
hashDifficulty = getDifficultyOfHash(hash)
targetDifficulty = getDifficultyOfHash(target)
#difficultyRatio = targetDifficulty // hashDifficulty
difficultyRatio = int(math.log2(targetDifficulty / hashDifficulty))
if difficultyRatio in difficultyRatios:
difficultyRatios[difficultyRatio] += 1
else:
difficultyRatios[difficultyRatio] = 1
for i in range(max(difficultyRatios) + 1):
if i in difficultyRatios:
X += [i]
Y += [difficultyRatios[i] / len(lines)]
## To improve the readability:
#plt.semilogx(X, Y, base = 2)
XMain = [2 ** i for i in range(math.ceil(math.log2(X[-1])))]
XP = [0] + XMain + ([X[-1]] if not X[-1] in XMain else [])
YP = [difficultyRatios[difficultyRatio] / len(lines) for difficultyRatio in XP]
plt.scatter(XP, YP)
plt.xticks(XP, XP)
upperBound = math.ceil(math.log2(X[-1])) + 2
YP = [2 ** -i for i in range(upperBound)]
plt.yticks(YP, YP)
for x, y in zip(X, Y):
if x == 0 or math.log2(x) == int(math.log2(x)):
plt.text(x, y, f'({x}, {round(y, 4)})', ha='center', va='top')
##
plt.plot(X, Y)
plt.show()