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import numpy as np
import math
# prices = [1, 1.1, 0, 1.1, 1.0, 1.2, 100, 100, 100, 1.1, 1.3, 5, 1.2, 1.1, .9, .95, 1.1]
prices = [200, 200, 300, 3, 400, 400, 400, 200, 300, 300, 500, 600, 90]
threshold = 2
# outlier detection using Z score and removing them
def removeOutlier(prices):
import json
import time
import requests
import base64
import ed25519
URL = 'http://test.brightid.org/brightid/v6/operations'
PRIVATE = ''
op = {