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/
cluster_of_enimies.py
executable file
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/
cluster_of_enimies.py
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#!/usr/bin/env python
from __future__ import print_function
import spacetime
import numpy as np
import scipy
EPS = np.finfo( float ).eps
def load( n ):
C = np.random.uniform( .8, 1, size=(3*n,3*n) )
for i in range( 1, 4 ):
C[(i-1)*n:i*n, (i-1)*n:i*n] = np.random.uniform( 0,.2, size=(n,n) )
for i in range(3*n): C[i,i] = 0
C = C + C.T
C /= C.sum()
C = np.maximum( C, EPS )
return C
def visualize( z ):
import matplotlib.pyplot as plt
import matplotlib.lines as lines
from matplotlib.transforms import Bbox
fig = plt.figure( figsize=[10,8] )
fig.suptitle( '' )
ax = fig.add_subplot( 111 )
ax.scatter( z[:,0], z[:,1], s=50,
linewidths=1 )
#c=z,
#cmap='RdYlGn',
#vmin=-np.abs( z ).max(),
#vmax= np.abs( z ).max() )
plt.show()
if __name__ == '__main__':
P = load( 3 )
spacetime.distribution = 'student'
spacetime.min_epochs = 500
spacetime.lrate_s = 5
spacetime.lrate_t = .01
#dim = 2
spacetime_Y,spacetime_Z,E1= spacetime.st_snep( P, 0, 2, repeat=1 )
#spacetime_Y,spacetime_Z,E2= spacetime.st_snep( P, dim, 0, repeat=10 )
#print( E1, E2 )
visualize( spacetime_Z )
print( spacetime_Z )