Update statisticsFromHashes.py before trying not to round in any manner
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@@ -18,8 +18,8 @@ with open('hashes.txt') as f:
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target = lineParts[1]
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hashDifficulty = getDifficultyOfHash(hash)
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targetDifficulty = getDifficultyOfHash(target)
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#difficultyRatio = targetDifficulty // hashDifficulty
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difficultyRatio = int(math.log2(targetDifficulty / hashDifficulty))
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# If use `round` instead of `int`, then it gives the same result as before.
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difficultyRatio = round(math.log2(targetDifficulty / hashDifficulty))
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if difficultyRatio in difficultyRatios:
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difficultyRatios[difficultyRatio] += 1
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else:
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@@ -32,22 +32,16 @@ for i in range(max(difficultyRatios) + 1):
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## To improve the readability:
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#plt.semilogx(X, Y, base = 2)
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XMain = [2 ** i for i in range(math.ceil(math.log2(X[-1])))]
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XP = [0] + XMain + ([X[-1]] if not X[-1] in XMain else [])
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YP = [difficultyRatios[difficultyRatio] / len(lines) for difficultyRatio in XP]
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plt.scatter(X, Y)
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plt.scatter(XP, YP)
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plt.xticks(X, X)
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plt.xticks(XP, XP)
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upperBound = math.ceil(math.log2(X[-1])) + 2
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YP = [2 ** -i for i in range(upperBound)]
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YP = [2 ** -i for i in range(len(X))][:7]
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plt.yticks(YP, YP)
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for x, y in zip(X, Y):
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if x == 0 or math.log2(x) == int(math.log2(x)):
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if x <= 5:
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plt.text(x, y, f'({x}, {round(y, 4)})', ha='center', va='top')
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##
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@@ -55,3 +49,17 @@ for x, y in zip(X, Y):
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plt.plot(X, Y)
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plt.show()
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## To understand the difference between `int` and `round:`
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import numpy as np
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x = np.linspace(0, 10, 1000)
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plt.plot(x, np.vectorize(int)(x), label = 'int')
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plt.plot(x, np.vectorize(round)(x), label = 'round')
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plt.legend(loc = 'upper left')
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plt.show()
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