Commit a835964a authored by constantin.hoeing's avatar constantin.hoeing
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parent 2daa6f41
written on September 2. 2019 by
Constantin Höing
Inst. Fuer Numerische und Angewandte Mathematik
Universität Göttingen
Description: < Description >
Input: m,n: shape of return numpy array
alphabet: array of two values
state: propability for values in alphabet
Output: random numpy array of shape m,n
Usage: randMatrix = RANDsrc(m ,n ,alphabet=[1,-1], state=[0.5, 0.5] )
!!!!!!!!!!!!!!!!!!! has no error handling !!!!!!!!!!!!!!!
from numpy import full, ndenumerate
from numpy.random import rand
def RANDsrc(m, n, alphabet=[1,-1], state=[0.5, 0.5]):
#res = full((m, n), alphabet[0])
res = rand(m, n)
check1 = state[0]
#check2 = state[1]
for idx, val in ndenumerate(res):
if val < check1:
res[idx] = alphabet[0]
elif val >= check1:
res[idx] = alphabet[1]
return res
if __name__ == "__main__":
RANDsrc(2, 3, [3, 4], [0,1])
\ No newline at end of file
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