import json


def print_json(json_data):
    print(json.dumps(json_data, ensure_ascii=False, indent=4, sort_keys=False))


def median(sorted_lst):
    n = len(sorted_lst)
    if n < 1:
            return None
    if n % 2 == 1:
            return sorted_lst[n//2]
    else:
            return sum(sorted_lst[n//2-1:n//2+1])/2


def get_data(filename):
    file_data = dict()
    fp = open(filename)
    for i, line in enumerate(fp, 1):
        if i > 3:
            str_values = line.split('\t')
            if len(str_values) == 16:
                event = str_values[1]
                avgtsmr = int(str_values[15])

                if not file_data.get(event):
                    file_data[event] = [avgtsmr]
                else:
                    file_data[event].append(avgtsmr)
    fp.close()
    return file_data

# ---------------------------------------- Start ----------------------------------------

file_data = get_data('mini_stat.txt')
results = dict()
#print_json(file_data)

for key in file_data:
    values_count = len(file_data[key])
    file_data[key] == sorted(file_data[key])

    min_result = min(file_data[key])
    median_result = median(file_data[key])
    90_percents = values_count



    if results.get(key):
        results[key]['min'] = min_result
    else:
        results[key] = dict()
        results[key]['min'] = min_result
        results[key]['50%'] = median_result

print_json(results)