annotate test_dataset.py @ 212:9b57ea8c767f

previous commit was supposed to concern only one file, dataset.py, try to undo my other changes with this commit (nothing was broken though, just useless debugging prints)
author Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
date Wed, 21 May 2008 17:42:20 -0400
parents b9950ae5e54b
children 3c96d23b36ac d7250ee86f72
rev   line source
51
59757365a057 the script can be autorun
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diff changeset
1 #!/bin/env python
45
a5c70dc42972 Test functions for dataset.py
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2 from dataset import *
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3 from math import *
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4 import numpy
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5
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6 def have_raised(to_eval, **var):
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7 have_thrown = False
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8 try:
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9 eval(to_eval)
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10 except :
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11 have_thrown = True
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12 return have_thrown
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13
173
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14 def have_raised2(f, *args, **kwargs):
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15 have_thrown = False
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16 try:
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17 f(*args, **kwargs)
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18 except :
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19 have_thrown = True
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20 return have_thrown
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21
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22 def test1():
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23 print "test1"
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24 global a,ds
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25 a = numpy.random.rand(10,4)
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26 print a
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27 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]})
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28 print "len(ds)=",len(ds)
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29 assert(len(ds)==10)
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30 print "example 0 = ",ds[0]
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31 # assert
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32 print "x=",ds["x"]
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33 print "x|y"
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34 for x,y in ds("x","y"):
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35 print x,y
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36 minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4)
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37 minibatch = minibatch_iterator.__iter__().next()
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38 print "minibatch=",minibatch
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39 for var in minibatch:
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40 print "var=",var
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b6730f9a336d Fixing MinibatchDataSet getitem
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41 print "take a slice and look at field y",ds[1:6:2]["y"]
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42
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43 del a,ds,x,y,minibatch_iterator,minibatch,var
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44
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45 def test_iterate_over_examples(array,ds):
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46 #not in doc!!!
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47 i=0
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48 for example in range(len(ds)):
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49 assert (ds[example]['x']==array[example][:3]).all()
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50 assert ds[example]['y']==array[example][3]
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51 assert (ds[example]['z']==array[example][[0,2]]).all()
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52 i+=1
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53 assert i==len(ds)
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54 del example,i
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55
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56 # - for example in dataset:
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57 i=0
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58 for example in ds:
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59 assert len(example)==3
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60 assert (example['x']==array[i][:3]).all()
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61 assert example['y']==array[i][3]
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62 assert (example['z']==array[i][0:3:2]).all()
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63 assert (numpy.append(example['x'],example['y'])==array[i]).all()
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64 i+=1
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65 assert i==len(ds)
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66 del example,i
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67
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68 # - for val1,val2,... in dataset:
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69 i=0
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70 for x,y,z in ds:
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71 assert (x==array[i][:3]).all()
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72 assert y==array[i][3]
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73 assert (z==array[i][0:3:2]).all()
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74 assert (numpy.append(x,y)==array[i]).all()
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75 i+=1
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76 assert i==len(ds)
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77 del x,y,z,i
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78
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79 # - for example in dataset(field1, field2,field3, ...):
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80 i=0
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81 for example in ds('x','y','z'):
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82 assert len(example)==3
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83 assert (example['x']==array[i][:3]).all()
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84 assert example['y']==array[i][3]
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85 assert (example['z']==array[i][0:3:2]).all()
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86 assert (numpy.append(example['x'],example['y'])==array[i]).all()
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87 i+=1
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88 assert i==len(ds)
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89 del example,i
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90 i=0
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91 for example in ds('y','x'):
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92 assert len(example)==2
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93 assert (example['x']==array[i][:3]).all()
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94 assert example['y']==array[i][3]
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95 assert (numpy.append(example['x'],example['y'])==array[i]).all()
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96 i+=1
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97 assert i==len(ds)
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98 del example,i
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99
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100 # - for val1,val2,val3 in dataset(field1, field2,field3):
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101 i=0
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102 for x,y,z in ds('x','y','z'):
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103 assert (x==array[i][:3]).all()
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104 assert y==array[i][3]
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105 assert (z==array[i][0:3:2]).all()
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106 assert (numpy.append(x,y)==array[i]).all()
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107 i+=1
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108 assert i==len(ds)
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109 del x,y,z,i
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110 i=0
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111 for y,x in ds('y','x',):
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112 assert (x==array[i][:3]).all()
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113 assert y==array[i][3]
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114 assert (numpy.append(x,y)==array[i]).all()
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115 i+=1
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116 assert i==len(ds)
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117 del x,y,i
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118
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119 def test_minibatch_size(minibatch,minibatch_size,len_ds,nb_field,nb_iter_finished):
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120 ##full minibatch or the last minibatch
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121 for idx in range(nb_field):
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122 test_minibatch_field_size(minibatch[idx],minibatch_size,len_ds,nb_iter_finished)
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123 del idx
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124 def test_minibatch_field_size(minibatch_field,minibatch_size,len_ds,nb_iter_finished):
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125 assert len(minibatch_field)==minibatch_size or ((nb_iter_finished*minibatch_size+len(minibatch_field))==len_ds and len(minibatch_field)<minibatch_size)
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126
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127 # - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N):
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128 i=0
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129 mi=0
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130 m=ds.minibatches(['x','z'], minibatch_size=3)
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131 assert isinstance(m,DataSet.MinibatchWrapAroundIterator)
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132 for minibatch in m:
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133 assert isinstance(minibatch,DataSetFields)
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134 assert len(minibatch)==2
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Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
135 test_minibatch_size(minibatch,m.minibatch_size,len(ds),2,mi)
161
60e00cce3492 bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 158
diff changeset
136 if type(ds)==ArrayDataSet:
60e00cce3492 bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 158
diff changeset
137 assert (minibatch[0][:,::2]==minibatch[1]).all()
60e00cce3492 bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 158
diff changeset
138 else:
162
45427d4d64b3 bugfix in test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 161
diff changeset
139 for j in xrange(len(minibatch[0])):
45427d4d64b3 bugfix in test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 161
diff changeset
140 (minibatch[0][j][::2]==minibatch[1][j]).all()
145
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
141 mi+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
142 i+=len(minibatch[0])
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
143 assert i==len(ds)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
144 assert mi==4
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
145 del minibatch,i,m,mi
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
146
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
147 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
148 mi=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
149 m=ds.minibatches(['x','y'], minibatch_size=3)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
150 assert isinstance(m,DataSet.MinibatchWrapAroundIterator)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
151 for minibatch in m:
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
152 assert len(minibatch)==2
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
153 test_minibatch_size(minibatch,m.minibatch_size,len(ds),2,mi)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
154 mi+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
155 for id in range(len(minibatch[0])):
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
156 assert (numpy.append(minibatch[0][id],minibatch[1][id])==array[i]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
157 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
158 assert i==len(ds)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
159 assert mi==4
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
160 del minibatch,i,id,m,mi
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
161
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
162 # - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N):
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
163 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
164 mi=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
165 m=ds.minibatches(['x','z'], minibatch_size=3)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
166 assert isinstance(m,DataSet.MinibatchWrapAroundIterator)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
167 for x,z in m:
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
168 test_minibatch_field_size(x,m.minibatch_size,len(ds),mi)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
169 test_minibatch_field_size(z,m.minibatch_size,len(ds),mi)
164
3518710e16ec don't assume we have an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 162
diff changeset
170 for id in range(len(x)):
3518710e16ec don't assume we have an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 162
diff changeset
171 assert (x[id][::2]==z[id]).all()
3518710e16ec don't assume we have an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 162
diff changeset
172 i+=1
145
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
173 mi+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
174 assert i==len(ds)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
175 assert mi==4
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
176 del x,z,i,m,mi
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
177 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
178 mi=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
179 m=ds.minibatches(['x','y'], minibatch_size=3)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
180 for x,y in m:
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
181 test_minibatch_field_size(x,m.minibatch_size,len(ds),mi)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
182 test_minibatch_field_size(y,m.minibatch_size,len(ds),mi)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
183 mi+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
184 for id in range(len(x)):
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
185 assert (numpy.append(x[id],y[id])==array[i]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
186 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
187 assert i==len(ds)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
188 assert mi==4
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
189 del x,y,i,id,m,mi
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
190
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
191 #not in doc
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
192 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
193 m=ds.minibatches(['x','y'],n_batches=1,minibatch_size=3,offset=4)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
194 assert isinstance(m,DataSet.MinibatchWrapAroundIterator)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
195 for x,y in m:
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
196 assert len(x)==3
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
197 assert len(y)==3
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
198 for id in range(3):
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
199 assert (numpy.append(x[id],y[id])==array[i+4]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
200 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
201 assert i==3
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
202 del x,y,i,id,m
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
203
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
204 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
205 m=ds.minibatches(['x','y'],n_batches=2,minibatch_size=3,offset=4)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
206 assert isinstance(m,DataSet.MinibatchWrapAroundIterator)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
207 for x,y in m:
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
208 assert len(x)==3
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
209 assert len(y)==3
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
210 for id in range(3):
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
211 assert (numpy.append(x[id],y[id])==array[i+4]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
212 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
213 assert i==6
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
214 del x,y,i,id,m
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
215
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
216 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
217 m=ds.minibatches(['x','y'],n_batches=20,minibatch_size=3,offset=4)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
218 assert isinstance(m,DataSet.MinibatchWrapAroundIterator)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
219 for x,y in m:
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
220 assert len(x)==3
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
221 assert len(y)==3
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
222 for id in range(3):
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
223 assert (numpy.append(x[id],y[id])==array[(i+4)%array.shape[0]]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
224 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
225 assert i==m.n_batches*m.minibatch_size
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
226 del x,y,i,id
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
227
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
228
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
229 def test_ds_iterator(array,iterator1,iterator2,iterator3):
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
230 l=len(iterator1)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
231 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
232 for x,y in iterator1:
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
233 assert (x==array[i][:3]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
234 assert y==array[i][3]
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
235 assert (numpy.append(x,y)==array[i]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
236 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
237 assert i==l
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
238 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
239 for y,z in iterator2:
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
240 assert y==array[i][3]
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
241 assert (z==array[i][0:3:2]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
242 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
243 assert i==l
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
244 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
245 for x,y,z in iterator3:
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
246 assert (x==array[i][:3]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
247 assert y==array[i][3]
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
248 assert (z==array[i][0:3:2]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
249 assert (numpy.append(x,y)==array[i]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
250 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
251 assert i==l
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
252
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
253 def test_getitem(array,ds):
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
254 def test_ds(orig,ds,index):
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
255 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
256 assert len(ds)==len(index)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
257 for x,z,y in ds('x','z','y'):
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
258 assert (orig[index[i]]['x']==array[index[i]][:3]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
259 assert (orig[index[i]]['x']==x).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
260 assert orig[index[i]]['y']==array[index[i]][3]
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
261 assert orig[index[i]]['y']==y
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
262 assert (orig[index[i]]['z']==array[index[i]][0:3:2]).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
263 assert (orig[index[i]]['z']==z).all()
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
264 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
265 del i
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
266 ds[0]
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
267 if len(ds)>2:
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268 ds[:1]
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269 ds[1:1]
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270 ds[1:1:1]
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271 if len(ds)>5:
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272 ds[[1,2,3]]
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273 for x in ds:
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274 pass
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275
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276 #ds[:n] returns a dataset with the n first examples.
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277 ds2=ds[:3]
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278 assert isinstance(ds2,DataSet)
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279 test_ds(ds,ds2,index=[0,1,2])
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280 del ds2
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281
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282 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s.
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283 ds2=ds[1:7:2]
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284 assert isinstance(ds2,DataSet)
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285 test_ds(ds,ds2,[1,3,5])
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286 del ds2
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287
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288 #ds[i]
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289 ds2=ds[5]
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290 assert isinstance(ds2,Example)
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291 assert have_raised("var['ds']["+str(len(ds))+"]",ds=ds) # index not defined
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292 assert not have_raised("var['ds']["+str(len(ds)-1)+"]",ds=ds)
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293 del ds2
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294
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295 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in.
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296 ds2=ds[[4,7,2,8]]
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297 assert isinstance(ds2,DataSet)
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298 test_ds(ds,ds2,[4,7,2,8])
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299 del ds2
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300
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301 #ds[fieldname]# an iterable over the values of the field fieldname across
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302 #the ds (the iterable is obtained by default by calling valuesVStack
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303 #over the values for individual examples).
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304 assert have_raised("ds['h']") # h is not defined...
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305 assert have_raised("ds[['x']]") # bad syntax
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306 assert not have_raised("var['ds']['x']",ds=ds)
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307 isinstance(ds['x'],DataSetFields)
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308 ds2=ds['x']
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309 assert len(ds['x'])==10
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310 assert len(ds['y'])==10
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311 assert len(ds['z'])==10
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312 i=0
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313 for example in ds['x']:
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314 assert (example==array[i][:3]).all()
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315 i+=1
168
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316 assert i==len(ds)
145
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317 i=0
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318 for example in ds['y']:
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319 assert (example==array[i][3]).all()
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320 i+=1
168
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321 assert i==len(ds)
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322 i=0
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323 for example in ds['z']:
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324 assert (example==array[i,0:3:2]).all()
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325 i+=1
168
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326 assert i==len(ds)
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327 del ds2,i
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328
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329 #ds.<property># returns the value of a property associated with
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330 #the name <property>. The following properties should be supported:
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331 # - 'description': a textual description or name for the ds
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332 # - 'fieldtypes': a list of types (one per field)
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333
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334 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3])#????
173
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335 #assert hstack([ds('x','y'),ds('z')])==ds
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336 #hstack([ds('z','y'),ds('x')])==ds
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337 assert have_raised2(hstack,[ds('x'),ds('x')])
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338 assert have_raised2(hstack,[ds('y','x'),ds('x')])
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339 assert not have_raised2(hstack,[ds('x'),ds('y')])
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340
145
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341 # i=0
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342 # for example in hstack([ds('x'),ds('y'),ds('z')]):
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343 # example==ds[i]
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344 # i+=1
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345 # del i,example
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346 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3])#????
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347
165
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348 def test_fields_fct(ds):
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349 #@todo, fill correctly
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350 assert len(ds.fields())==3
168
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351 i=0
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352 v=0
165
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353 for field in ds.fields():
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354 for field_value in field: # iterate over the values associated to that field for all the ds examples
168
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355 v+=1
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356 i+=1
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357 assert i==3
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358 assert v==3*10
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359 del i,v
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360
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361 i=0
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362 v=0
165
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363 for field in ds('x','z').fields():
168
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364 i+=1
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365 for val in field:
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366 v+=1
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367 assert i==2
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368 assert v==2*10
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369 del i,v
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370
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371 i=0
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372 v=0
165
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373 for field in ds.fields('x','y'):
168
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374 i+=1
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375 for val in field:
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376 v+=1
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377 assert i==2
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378 assert v==2*10
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379 del i,v
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380
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381 i=0
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382 v=0
165
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383 for field_examples in ds.fields():
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384 for example_value in field_examples:
168
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385 v+=1
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386 i+=1
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387 assert i==3
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388 assert v==3*10
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389 del i,v
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390
165
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diff changeset
391 assert ds == ds.fields().examples()
168
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diff changeset
392 assert len(ds('x','y').fields()) == 2
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393 assert len(ds('x','z').fields()) == 2
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394 assert len(ds('y').fields()) == 1
165
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diff changeset
395
168
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396 del field
194
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diff changeset
397 def test_all(array,ds):
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diff changeset
398 assert len(ds)==10
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diff changeset
399
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diff changeset
400 test_iterate_over_examples(array, ds)
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diff changeset
401 test_getitem(array, ds)
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diff changeset
402 test_ds_iterator(array,ds('x','y'),ds('y','z'),ds('x','y','z'))
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diff changeset
403 test_fields_fct(ds)
145
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diff changeset
404
58
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parents: 54
diff changeset
405 def test_ArrayDataSet():
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diff changeset
406 #don't test stream
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diff changeset
407 #tested only with float value
106
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parents: 104
diff changeset
408 #don't always test with y
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parents: 104
diff changeset
409 #don't test missing value
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parents: 104
diff changeset
410 #don't test with tuple
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diff changeset
411 #don't test proterties
84
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parents: 82
diff changeset
412 print "test_ArrayDataSet"
145
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diff changeset
413 a2 = numpy.random.rand(10,4)
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414 ds = ArrayDataSet(a2,{'x':slice(3),'y':3,'z':[0,2]})###???tuple not tested
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415 ds = ArrayDataSet(a2,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested
58
17729d7104fa added function test_ArrayDataSet
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diff changeset
416 #assert ds==a? should this work?
100
574f4db76022 restructuring and added test
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diff changeset
417
194
0040ba0f0666 small refactoring
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diff changeset
418 test_all(a2,ds)
169
051e07807554 added test for CachedDataSet(ds,cache_all_upon_construction=True)
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parents: 168
diff changeset
419
165
2a12e7437c56 small refactoring
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diff changeset
420 del a2, ds
81
4b0859606d05 Added test for ArrayDataSet and LookUpList
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diff changeset
421
4b0859606d05 Added test for ArrayDataSet and LookUpList
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diff changeset
422 def test_LookupList():
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diff changeset
423 #test only the example in the doc???
84
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff changeset
424 print "test_LookupList"
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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parents: 82
diff changeset
425 example = LookupList(['x','y','z'],[1,2,3])
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diff changeset
426 example['x'] = [1, 2, 3] # set or change a field
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diff changeset
427 x, y, z = example
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diff changeset
428 x = example[0]
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff changeset
429 x = example["x"]
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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parents: 82
diff changeset
430 assert example.keys()==['x','y','z']
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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parents: 82
diff changeset
431 assert example.values()==[[1,2,3],2,3]
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diff changeset
432 assert example.items()==[('x',[1,2,3]),('y',2),('z',3)]
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diff changeset
433 example.append_keyval('u',0) # adds item with name 'u' and value 0
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diff changeset
434 assert len(example)==4 # number of items = 4 here
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diff changeset
435 example2 = LookupList(['v','w'], ['a','b'])
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parents: 82
diff changeset
436 example3 = LookupList(['x','y','z','u','v','w'], [[1, 2, 3],2,3,0,'a','b'])
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diff changeset
437 assert example+example2==example3
145
933db7ece663 make some function global to reuse them to test other dataset
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diff changeset
438 assert have_raised("var['x']+var['x']",x=example)
81
4b0859606d05 Added test for ArrayDataSet and LookUpList
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diff changeset
439
165
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diff changeset
440 del example, example2, example3, x, y ,z
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diff changeset
441
158
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diff changeset
442 def test_CachedDataSet():
148
a5329e719229 added test for CachedDataSet
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diff changeset
443 print "test_CacheDataSet"
169
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diff changeset
444 a = numpy.random.rand(10,4)
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parents: 168
diff changeset
445 ds1 = ArrayDataSet(a,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested
148
a5329e719229 added test for CachedDataSet
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diff changeset
446 ds2 = CachedDataSet(ds1)
a5329e719229 added test for CachedDataSet
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diff changeset
447 ds3 = CachedDataSet(ds1,cache_all_upon_construction=True)
a5329e719229 added test for CachedDataSet
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parents: 145
diff changeset
448
195
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diff changeset
449 test_all(a,ds2)
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diff changeset
450 test_all(a,ds3)
169
051e07807554 added test for CachedDataSet(ds,cache_all_upon_construction=True)
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parents: 168
diff changeset
451
051e07807554 added test for CachedDataSet(ds,cache_all_upon_construction=True)
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parents: 168
diff changeset
452 del a,ds1,ds2,ds3
148
a5329e719229 added test for CachedDataSet
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parents: 145
diff changeset
453
a5329e719229 added test for CachedDataSet
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parents: 145
diff changeset
454
161
60e00cce3492 bugfix test in case it is not an ArrayDataSet
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diff changeset
455 def test_DataSetFields():
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456 print "test_DataSetFields"
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diff changeset
457 raise NotImplementedError()
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diff changeset
458
84
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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parents: 82
diff changeset
459 def test_ApplyFunctionDataSet():
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff changeset
460 print "test_ApplyFunctionDataSet"
202
b9950ae5e54b Added test for ApplyFunctionDataset
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diff changeset
461 a = numpy.random.rand(10,4)
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diff changeset
462 a2 = a+1
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diff changeset
463 ds1 = ArrayDataSet(a,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested
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diff changeset
464
b9950ae5e54b Added test for ApplyFunctionDataset
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diff changeset
465 ds2 = ApplyFunctionDataSet(ds1,lambda x,y,z: (x+1,y+1,z+1), ['x','y','z'],minibatch_mode=False)
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diff changeset
466 ds3 = ApplyFunctionDataSet(ds1,lambda x,y,z: (numpy.array(x)+1,numpy.array(y)+1,numpy.array(z)+1), ['x','y','z'],minibatch_mode=True)
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parents: 195
diff changeset
467
b9950ae5e54b Added test for ApplyFunctionDataset
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diff changeset
468 test_all(a2,ds2)
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diff changeset
469 test_all(a2,ds3)
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parents: 195
diff changeset
470
b9950ae5e54b Added test for ApplyFunctionDataset
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parents: 195
diff changeset
471 del a,ds1,ds2,ds3
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diff changeset
472
84
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff changeset
473 def test_FieldsSubsetDataSet():
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff changeset
474 print "test_FieldsSubsetDataSet"
81
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diff changeset
475 raise NotImplementedError()
84
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff changeset
476 def test_MinibatchDataSet():
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff changeset
477 print "test_MinibatchDataSet"
81
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diff changeset
478 raise NotImplementedError()
84
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff changeset
479 def test_HStackedDataSet():
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff changeset
480 print "test_HStackedDataSet"
81
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diff changeset
481 raise NotImplementedError()
84
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff changeset
482 def test_VStackedDataSet():
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff changeset
483 print "test_VStackedDataSet"
81
4b0859606d05 Added test for ArrayDataSet and LookUpList
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parents: 66
diff changeset
484 raise NotImplementedError()
84
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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parents: 82
diff changeset
485 def test_ArrayFieldsDataSet():
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff changeset
486 print "test_ArrayFieldsDataSet"
81
4b0859606d05 Added test for ArrayDataSet and LookUpList
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diff changeset
487 raise NotImplementedError()
157
e8c8022582f4 only exec the test if we are the main
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diff changeset
488 if __name__=='__main__':
e8c8022582f4 only exec the test if we are the main
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diff changeset
489 test1()
e8c8022582f4 only exec the test if we are the main
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diff changeset
490 test_LookupList()
e8c8022582f4 only exec the test if we are the main
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parents: 149
diff changeset
491 test_ArrayDataSet()
158
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 157
diff changeset
492 test_CachedDataSet()
202
b9950ae5e54b Added test for ApplyFunctionDataset
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parents: 195
diff changeset
493 test_ApplyFunctionDataSet()
122
d3c72e412065 removed datat that should not be commited
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 116
diff changeset
494 #test pmat.py