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62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
import time
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import ast
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from datetime import datetime
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FILE='data.tsv'
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def get_metrix():
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data = []
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time_to_merge = 0
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count_of_parts = 0
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max_count_of_parts = 0
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parts_in_time = []
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last_date = 0
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for line in open(FILE):
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fields = line.split('\t')
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last_date = datetime.strptime(fields[2], '%Y-%m-%d %H:%M:%S')
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break
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for line in open(FILE):
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fields = line.split('\t')
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cur_date = datetime.strptime(fields[2], '%Y-%m-%d %H:%M:%S')
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if fields[0] == '2':
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time_to_merge += int(fields[4])
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list = ast.literal_eval(fields[-1])
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count_of_parts -= len(list) - 1
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else:
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count_of_parts += 1
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if max_count_of_parts < count_of_parts:
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max_count_of_parts = count_of_parts
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parts_in_time.append([(cur_date-last_date).total_seconds(), count_of_parts])
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last_date = cur_date
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stats_parts_in_time = []
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global_time = 0
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average_parts = 0
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for i in range(max_count_of_parts + 1):
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stats_parts_in_time.append(0)
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for elem in parts_in_time:
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stats_parts_in_time[elem[1]] += elem[0]
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global_time += elem[0]
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average_parts += elem[0] * elem[1]
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for i in range(max_count_of_parts):
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stats_parts_in_time[i] /= global_time
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average_parts /= global_time
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return time_to_merge, max_count_of_parts, average_parts, stats_parts_in_time
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def main():
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time_to_merge, max_parts, average_parts, stats_parts = get_metrix()
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print('time_to_merge=', time_to_merge)
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print('max_parts=', max_parts)
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print('average_parts=', average_parts)
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print('stats_parts=', stats_parts)
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if __name__ == '__main__':
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main()
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