31 lines
1.3 KiB
Python
31 lines
1.3 KiB
Python
data = [[float(y) for y in x.strip().split(', ')] for x in open('block_datadump.csv').readlines()]
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for i in range(0, 2283416, 200000):
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print('Checking 200k blocks from %d' % i)
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dataset = []
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totuncles, totuncreward = 0, 0
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totbs = [0 for j in range(40)]
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totus = [0 for j in range(40)]
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for num, uncs, uncrew, uncgas, txs, gas, length, zeroes in data[i:i+200000]:
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dataset.append([gas, 0])
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for i in range(int(uncs)):
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dataset.append([uncgas / uncs * 1.0, 1])
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totuncles += uncs
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totuncreward += uncrew
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totus[int(gas / 100000)] += uncs
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totbs[int(gas / 100000)] += 1
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print([totus[j] * 100.0 / (totbs[j] + 0.000000001) for j in range(40)])
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print('Average uncle reward:', totuncreward * 1.0 / totuncles)
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print('Average nephew reward:', totuncles * 5 / 32. / len(dataset))
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mean_x = sum([x[0] for x in dataset]) * 1.0 / len(dataset)
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mean_y = sum([x[1] for x in dataset]) * 1.0 / len(dataset)
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print('Average gas used:', mean_x)
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print('Average uncle rate:', mean_y)
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covar = sum([(x[0] - mean_x) * (x[1] - mean_y) for x in dataset])
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var = sum([(x[0] - mean_x) ** 2 for x in dataset])
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print('m = ', covar / var)
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print('b = ', mean_y - mean_x * (covar / var))
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