---

x=[1.41,0.68,1.44,-0.91,-0.26,-0.68,0.42,0.62,-0.22,-0.93,0.21,1.72,-1.18,-0.36,0.91,-1.02,0.61,-1.14,0.01,0.61,-0.6,-0.11,-0.25,1.62,1.68,-1.14,-0.16,-0.63,-1.77,0.68,-0.71,1.43,0,0.48,-1.57,0.28,1.61,-0.32,0.25,-0.45,0.56,-1.34,-0.06,-0.95,-0.98,0.36,-0.44,-0.94,0.6,-1.75,-0.03,1.04,0.73,-0.38,1.49,1.93,-1.05,0,1.08,0.43,-0.51,-0.26,-0.84,-0.12,0.14,0.6,-0.71,0.79,-1.33,0.06,1.63,-1.74,-0.93,0.95,0.64,0.26,-1.08,1.2,0.26,1.21,0.31,-0.1,1.27,-0.42,-0.54,0.36,-0.66,0.32,-0.02,-1.15,0.07,0.18,-0.65,0.39,-0.05,1.69,1.13,-0.74,-1.75,-0.47,-0.08,0.37,-0.75,1.19,-0.08,0.85,-0.68,0.35,0.79,0.89,-0.06,0.04,-0.53,0.57,-0.52,0.46,2.06,-0.2,0.21,0.81,0.33,0.56,-0.17,0.75,-0.91,-0.64,0.99,0.28,0.98,0.74,-0.16,0.33,0.89,0.43,1,-0.05,-0.66,-0.16,-1.14,-0.88,-1.01,-0.9,-0.81,0.66,-0.45,2.48,0.8,0.71,1.01,-0.1,0.53,0.33,-0.63,0.18,-0.37,0.21,0.33,1.74,0.71,-0.91,0.16,-0.05,0.38,-0.27,-0.52,-0.7,1.37,1.79,0.23,0.95,0.37]
y=[0.15,0.27,0.32,-0.46,0.62,-0.44,-0.52,0.73,-0.7,1.57,0.42,-0.05,-0.21,1.96,-0.8,-0.54,-0.9,-0.09,1.66,0.2,-0.32,1.93,-0.56,0.14,-1.89,-1.42,-1.77,-0.76,0.15,0.96,-1.43,0.54,1.18,-1.86,0.74,-0.97,-0.69,-0.41,-1.05,0.53,0.95,0.27,-0.14,-0.93,0.41,-0.61,-0.33,-0.6,0.2,1.48,-1.49,-0.52,0.44,0.51,-1.46,0.59,-0.53,-0.57,-1.64,-0.9,-0.37,0.66,0.26,-0.2,0.09,-0.48,0.4,-0.09,1.67,1.04,-0.74,0.91,-0.64,0.93,-0.11,0.06,-0.38,0.28,-1.76,-1.35,0.4,0.23,-0.43,-0.24,0.52,-0.14,0.47,-0.8,-0.6,0.82,-0.28,-0.16,-2.46,0.31,-0.05,-1.18,-1.17,0.27,-0.17,0.88,-0.03,-0.48,0.54,0.2,-0.95,-1.29,-0.56,-0.5,-0.53,-0.03,-2.3,0.63,-0.75,0.1,-0.4,-1.63,0.07,-0.16,-0.62,-0.53,0.28,-1.19,0.96,-0.86,-1.22,-1.05,-0.67,-0.02,-0.01,0.02,-0.34,-0.01,-1.23,-1.02,-0.75,1.31,-1.66,-0.36,-2.24,0.31,0.04,-1.33,0.43,-0.77,1.19,1.08,-2.37,-0.07,-0.88,-0.54,0.22,1.66,0.49,0.57,0.82,-0.2,-0.46,-0.16,-0.27]

import numpy as np
from scipy.stats import f

sx2=np.var(x,ddof=1)
sy2=np.var(y,ddof=1)
F=sx2/sy2
df1=len(x)-1
df2=len(y)-1
p=2*min(f.cdf(F,df1,df2),1-f.cdf(F,df1,df2))
ans=int(p<0.04)

print(F)
print(p)
print(ans)