47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
import sys
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data = [[float(y) for y in x.strip().split(', ')] for x in open('attack_gas.csv').readlines()]
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# first = int(data[0][0])
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first = 2405000
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last = int(data[-1][0])
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dataset = []
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slicenums = [0] * 100
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slicedens = [0] * 100
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slice_width = 50000
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pos = first
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i = 0
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while data[i][0] < pos:
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i += 1
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while i < len(data):
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nxt = pos + 100
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gas = 0
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attackgas = 0
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uncles = 0
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while pos < nxt and i < len(data):
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pos, _gas, _attackgas, _uncles = data[i]
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gas += _gas
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attackgas += _attackgas
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uncles += _uncles
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i += 1
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totblocks = pos - nxt + 100.0
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if totblocks:
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dataset.append([gas / totblocks, attackgas / totblocks, uncles / totblocks])
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slicenums[int(attackgas / totblocks / slice_width)] += uncles / totblocks
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slicedens[int(attackgas / totblocks / slice_width)] += 1.0
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mean_x = sum([x[1] for x in dataset]) * 1.0 / len(dataset)
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mean_x0 = 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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covar = sum([(x[1] - mean_x) * (x[-1] - mean_y) for x in dataset])
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covar0 = sum([(x[0] - mean_x) * (x[-1] - mean_y) for x in dataset])
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var = sum([(x[1] - mean_x) ** 2 for x in dataset])
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var0 = sum([(x[0] - mean_x) ** 2 for x in dataset])
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print 'm = ', covar / var, '(uncle rate per attack gas)'
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print 'b = ', mean_y - mean_x * (covar / var)
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print 'm = ', covar / var0, '(uncle rate per gas)'
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print 'b = ', mean_y - mean_x0 * (covar / var0)
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# print [slicenums[i] / slicedens[i] if slicedens[i] else None for i in range(len(slicenums))]
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