35 lines
941 B
Python
35 lines
941 B
Python
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def caculate_standar_deviation(data):
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def calculate_mean(values):
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total = sum(float(value) for value in values)
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return total / len(values)
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def calculate_standard_deviation(values, mean):
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variance = sum((float(value) - mean) ** 2 for value in values) / len(values)
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return variance ** 0.5
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results = {}
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for user in data:
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values = data[user]
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mean = calculate_mean(values)
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stddev = calculate_standard_deviation(values, mean)
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results[user] = stddev
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return results
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def score(alluser_mhs24h, hash_percent=1):
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hashrate_values = [obj["mhs24h"] for obj in alluser_mhs24h]
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total_hashrate = sum(hashrate_values)
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result = {}
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for item in alluser_mhs24h:
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user = item["user"]
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mhs24h = item["mhs24h"]
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result[user] = (mhs24h / total_hashrate) * hash_percent
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return result
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__all__ = ["caculate_standar_deviation", "score"]
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