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| #!/usr/bin/env python2 | |
| #################################################### | |
| # # | |
| # Markov Mixer # | |
| # EE 126 # | |
| # # | |
| #################################################### | |
| # +envelope # |
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| def print_matrix(mat,rvalues=None,cvalues=None): | |
| # print a 2d numpy array as a table, using the optional rvalues | |
| # and cvalues as row and column labels | |
| if rvalues==None: | |
| rvalues=np.arange(mat.shape[0]) | |
| if cvalues==None: | |
| cvalues=np.arange(mat.shape[1]) | |
| print ("{:5}"+"{:^6} "*mat.shape[1]).format('',*cvalues) | |
| print ("{:5}"+"{:^6} "*mat.shape[1]).format('',*["-----" for i in cvalues]) | |
| for i,r in enumerate(rvalues): |
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| on init | |
| declare $last_groupid := -1 | |
| declare $new_groupid | |
| declare $N | |
| end on | |
| on note | |
| $N := $NUM_GROUPS | |
| disallow_group($ALL_GROUPS) | |
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| import numpy as np | |
| # Example kernels | |
| def uniform_kernel(x): | |
| norm_coeff = .5 | |
| return .5*np.bitwise_and(-1<x,1>x) | |
| def normal_kernel(x): | |
| norm_coeff = (2*np.pi)**-.5 | |
| return .5*np.exp(-.5*x**2) |