import math
''' import plotly.plotly as py
import plotly.graph_objs as go
import plotly
import numpy as np
import math
import pandas
import random
import itertools
import numpy as np
data = pandas.read_csv("label_categories.csv")
s = random.sample(range(1000), 100)
s = float("nan")
dict = {'a' : [1,2,3],
        'b' : [1,2,3],
        'c' : [1,3]}
mSet = set(dict['a']).intersection(dict['b'],dict['c'])

#for i in itertools.permutations('AB', 2):
#        print(i)
a = [1, 2, 3]
b = a
b.remove(1)
print(list(range(1,9))) '''

"""def swap(value1, value2):
        temp = value1
        value1 = value2
        value2 = temp"""
myList = []
print(math.pi)

