Created
May 7, 2012 13:57
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BSP - Monday 7 May - some tests
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import numpy as np | |
import matplotlib.pyplot as plt | |
import matplotlib.cm as cm | |
def create_data(n): | |
data = np.reshape(range(n**2),(n,n)) | |
data = data[:,:,np.newaxis] | |
print '-'*40 | |
print data[:,:,0],data.shape | |
print '-'*40 | |
return data | |
def fold(data,seq): | |
"""fold a 3D table using the sequence seq as: | |
0 : up/down | |
1 : down/up | |
2 : left/right | |
3 : right/left | |
""" | |
if len(seq) == 0: | |
r = data | |
else: | |
if seq[0]==0: | |
n2 = data.shape[0]/2 | |
dfold = np.dstack((data[n2-1::-1,:],data[n2:,:])) | |
r = fold(dfold,seq[1:]) | |
if seq[0]==1: | |
n2 = data.shape[0]/2 | |
dfold = np.dstack((data[:n2-1:-1,:],data[:n2,:])) | |
r = fold(dfold,seq[1:]) | |
if seq[0]==2: | |
n2 = data.shape[1]/2 | |
dfold = np.dstack((data[:,n2-1::-1],data[:,n2:])) | |
r = fold(dfold,seq[1:]) | |
if seq[0]==3: | |
n2 = data.shape[1]/2 | |
dfold = np.dstack((data[:,:n2-1:-1],data[:,:n2])) | |
r = fold(dfold,seq[1:]) | |
return r | |
print 'basic tests' | |
data = create_data(2) | |
for s in range(4): | |
r = fold(data,[s]) | |
print 'apply ',s,'-->',r.shape | |
print r[:,:,0] | |
print r[:,:,1] | |
from itertools import permutations | |
seq = [0,1,2,3] | |
test = [12, 15, 0, 3, 13, 14, 1, 2, 8, 11, 4, 7, 9, 10, 5, 6] | |
#test = [2, 1, 13, 14, 15, 12, 0, 3, 7, 4, 8, 11, 10, 9, 5, 6] | |
data = create_data(4) | |
print 'test=',test | |
for c in permutations(seq,4): | |
r = fold(data,c) | |
print c,'-->', r.flatten(), (r.flatten() == np.asarray(test)).all() | |
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