annotate _test_dataset.py @ 341:9c08e3af975e

corrected test for dataset.minibatches()
author Frederic Bastien <bastienf@iro.umontreal.ca>
date Tue, 17 Jun 2008 13:33:17 -0400
parents b48cf8dce2bf
children 2259f6fa4959
rev   line source
51
59757365a057 the script can be autorun
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1 #!/bin/env python
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2 from dataset import *
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3 from math import *
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4 import numpy, unittest, sys
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5 from misc import *
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5987415496df better testing of the MultiLengthDataSet, now called exotic1
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6 from lookup_list import LookupList
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7
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8 def have_raised(to_eval, **var):
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9 have_thrown = False
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10 try:
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11 eval(to_eval)
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12 except :
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13 have_thrown = True
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14 return have_thrown
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15
173
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16 def have_raised2(f, *args, **kwargs):
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17 have_thrown = False
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18 try:
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19 f(*args, **kwargs)
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20 except :
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21 have_thrown = True
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22 return have_thrown
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23
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24 def test1():
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25 print "test1"
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26 global a,ds
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27 a = numpy.random.rand(10,4)
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28 print a
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29 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]})
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30 print "len(ds)=",len(ds)
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31 assert(len(ds)==10)
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32 print "example 0 = ",ds[0]
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33 # assert
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34 print "x=",ds["x"]
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35 print "x|y"
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36 for x,y in ds("x","y"):
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37 print x,y
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38 minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4)
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39 minibatch = minibatch_iterator.__iter__().next()
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40 print "minibatch=",minibatch
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41 for var in minibatch:
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42 print "var=",var
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b6730f9a336d Fixing MinibatchDataSet getitem
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43 print "take a slice and look at field y",ds[1:6:2]["y"]
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44
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45 del a,ds,x,y,minibatch_iterator,minibatch,var
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46
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47 def test_iterate_over_examples(array,ds):
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48 #not in doc!!!
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49 i=0
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50 for example in range(len(ds)):
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51 wanted = array[example][:3]
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52 returned = ds[example]['x']
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53 if (wanted != returned).all():
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54 print 'returned:', returned
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55 print 'wanted:', wanted
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56 assert (ds[example]['x']==array[example][:3]).all()
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57 assert ds[example]['y']==array[example][3]
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58 assert (ds[example]['z']==array[example][[0,2]]).all()
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59 i+=1
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60 assert i==len(ds)
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61 del example,i
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62
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63 # - for example in dataset:
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64 i=0
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65 for example in ds:
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66 assert len(example)==3
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67 assert (example['x']==array[i][:3]).all()
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68 assert example['y']==array[i][3]
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69 assert (example['z']==array[i][0:3:2]).all()
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70 assert (numpy.append(example['x'],example['y'])==array[i]).all()
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71 i+=1
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72 assert i==len(ds)
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73 del example,i
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74
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75 # - for val1,val2,... in dataset:
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76 i=0
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77 for x,y,z in ds:
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78 assert (x==array[i][:3]).all()
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79 assert y==array[i][3]
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80 assert (z==array[i][0:3:2]).all()
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81 assert (numpy.append(x,y)==array[i]).all()
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82 i+=1
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83 assert i==len(ds)
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84 del x,y,z,i
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85
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86 # - for example in dataset(field1, field2,field3, ...):
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87 i=0
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88 for example in ds('x','y','z'):
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89 assert len(example)==3
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90 assert (example['x']==array[i][:3]).all()
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91 assert example['y']==array[i][3]
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92 assert (example['z']==array[i][0:3:2]).all()
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93 assert (numpy.append(example['x'],example['y'])==array[i]).all()
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94 i+=1
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95 assert i==len(ds)
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96 del example,i
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97 i=0
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98 for example in ds('y','x'):
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99 assert len(example)==2
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100 assert (example['x']==array[i][:3]).all()
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101 assert example['y']==array[i][3]
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102 assert (numpy.append(example['x'],example['y'])==array[i]).all()
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103 i+=1
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104 assert i==len(ds)
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105 del example,i
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106
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107 # - for val1,val2,val3 in dataset(field1, field2,field3):
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108 i=0
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109 for x,y,z in ds('x','y','z'):
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110 assert (x==array[i][:3]).all()
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111 assert y==array[i][3]
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112 assert (z==array[i][0:3:2]).all()
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113 assert (numpy.append(x,y)==array[i]).all()
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114 i+=1
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115 assert i==len(ds)
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116 del x,y,z,i
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117 i=0
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118 for y,x in ds('y','x',):
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119 assert (x==array[i][:3]).all()
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120 assert y==array[i][3]
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121 assert (numpy.append(x,y)==array[i]).all()
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122 i+=1
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123 assert i==len(ds)
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124 del x,y,i
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125
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126 def test_minibatch_size(minibatch,minibatch_size,len_ds,nb_field,nb_iter_finished):
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127 ##full minibatch or the last minibatch
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128 for idx in range(nb_field):
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129 test_minibatch_field_size(minibatch[idx],minibatch_size,len_ds,nb_iter_finished)
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130 del idx
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131 def test_minibatch_field_size(minibatch_field,minibatch_size,len_ds,nb_iter_finished):
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132 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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133
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134 # - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N):
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135 i=0
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parents: 139
diff changeset
136 mi=0
341
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diff changeset
137 size=3
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parents: 315
diff changeset
138 m=ds.minibatches(['x','z'], minibatch_size=size)
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
139 assert hasattr(m,'__iter__')
145
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parents: 139
diff changeset
140 for minibatch in m:
341
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
141 assert isinstance(minibatch,LookupList)
145
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parents: 139
diff changeset
142 assert len(minibatch)==2
341
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
143 test_minibatch_size(minibatch,size,len(ds),2,mi)
161
60e00cce3492 bugfix test in case it is not an ArrayDataSet
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parents: 158
diff changeset
144 if type(ds)==ArrayDataSet:
60e00cce3492 bugfix test in case it is not an ArrayDataSet
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parents: 158
diff changeset
145 assert (minibatch[0][:,::2]==minibatch[1]).all()
60e00cce3492 bugfix test in case it is not an ArrayDataSet
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parents: 158
diff changeset
146 else:
162
45427d4d64b3 bugfix in test
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parents: 161
diff changeset
147 for j in xrange(len(minibatch[0])):
45427d4d64b3 bugfix in test
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parents: 161
diff changeset
148 (minibatch[0][j][::2]==minibatch[1][j]).all()
145
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diff changeset
149 mi+=1
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parents: 139
diff changeset
150 i+=len(minibatch[0])
341
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
151 assert i==(len(ds)/size)*size
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
152 assert mi==(len(ds)/size)
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
153 del minibatch,i,m,mi,size
145
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diff changeset
154
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diff changeset
155 i=0
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parents: 139
diff changeset
156 mi=0
341
9c08e3af975e corrected test for dataset.minibatches()
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diff changeset
157 size=3
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
158 m=ds.minibatches(['x','y'], minibatch_size=size)
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
159 assert hasattr(m,'__iter__')
145
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parents: 139
diff changeset
160 for minibatch in m:
341
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
161 assert isinstance(minibatch,LookupList)
145
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parents: 139
diff changeset
162 assert len(minibatch)==2
341
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
163 test_minibatch_size(minibatch,size,len(ds),2,mi)
145
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parents: 139
diff changeset
164 mi+=1
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diff changeset
165 for id in range(len(minibatch[0])):
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parents: 139
diff changeset
166 assert (numpy.append(minibatch[0][id],minibatch[1][id])==array[i]).all()
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parents: 139
diff changeset
167 i+=1
341
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diff changeset
168 assert i==(len(ds)/size)*size
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
169 assert mi==(len(ds)/size)
9c08e3af975e corrected test for dataset.minibatches()
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diff changeset
170 del minibatch,i,id,m,mi,size
145
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diff changeset
171
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diff changeset
172 # - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N):
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diff changeset
173 i=0
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diff changeset
174 mi=0
341
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diff changeset
175 size=3
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diff changeset
176 m=ds.minibatches(['x','z'], minibatch_size=size)
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
177 assert hasattr(m,'__iter__')
145
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diff changeset
178 for x,z in m:
341
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parents: 315
diff changeset
179 test_minibatch_field_size(x,size,len(ds),mi)
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parents: 315
diff changeset
180 test_minibatch_field_size(z,size,len(ds),mi)
164
3518710e16ec don't assume we have an ArrayDataSet
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parents: 162
diff changeset
181 for id in range(len(x)):
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parents: 162
diff changeset
182 assert (x[id][::2]==z[id]).all()
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parents: 162
diff changeset
183 i+=1
145
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diff changeset
184 mi+=1
341
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diff changeset
185 assert i==(len(ds)/size)*size
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diff changeset
186 assert mi==(len(ds)/size)
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diff changeset
187 del x,z,i,m,mi,size
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diff changeset
188
145
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diff changeset
189 i=0
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diff changeset
190 mi=0
341
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diff changeset
191 size=3
145
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diff changeset
192 m=ds.minibatches(['x','y'], minibatch_size=3)
341
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diff changeset
193 assert hasattr(m,'__iter__')
145
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diff changeset
194 for x,y in m:
341
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diff changeset
195 assert len(x)==size
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diff changeset
196 assert len(y)==size
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
197 test_minibatch_field_size(x,size,len(ds),mi)
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
198 test_minibatch_field_size(y,size,len(ds),mi)
145
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diff changeset
199 mi+=1
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parents: 139
diff changeset
200 for id in range(len(x)):
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parents: 139
diff changeset
201 assert (numpy.append(x[id],y[id])==array[i]).all()
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diff changeset
202 i+=1
341
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diff changeset
203 assert i==(len(ds)/size)*size
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
204 assert mi==(len(ds)/size)
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
205 del x,y,i,id,m,mi,size
145
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diff changeset
206
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diff changeset
207 #not in doc
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diff changeset
208 i=0
341
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diff changeset
209 size=3
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diff changeset
210 m=ds.minibatches(['x','y'],n_batches=1,minibatch_size=size,offset=4)
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
211 assert hasattr(m,'__iter__')
145
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parents: 139
diff changeset
212 for x,y in m:
341
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parents: 315
diff changeset
213 assert len(x)==size
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
214 assert len(y)==size
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
215 for id in range(size):
145
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parents: 139
diff changeset
216 assert (numpy.append(x[id],y[id])==array[i+4]).all()
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
217 i+=1
341
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
218 assert i==size
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
219 del x,y,i,id,m,size
145
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parents: 139
diff changeset
220
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
221 i=0
341
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
222 size=3
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
223 m=ds.minibatches(['x','y'],n_batches=2,minibatch_size=size,offset=4)
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
224 assert hasattr(m,'__iter__')
145
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
225 for x,y in m:
341
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parents: 315
diff changeset
226 assert len(x)==size
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
227 assert len(y)==size
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
228 for id in range(size):
145
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parents: 139
diff changeset
229 assert (numpy.append(x[id],y[id])==array[i+4]).all()
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
230 i+=1
341
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
231 assert i==2*size
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
232 del x,y,i,id,m,size
145
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parents: 139
diff changeset
233
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
234 i=0
341
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
235 size=3
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
236 m=ds.minibatches(['x','y'],n_batches=20,minibatch_size=size,offset=4)
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
237 assert hasattr(m,'__iter__')
145
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
238 for x,y in m:
341
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
239 assert len(x)==size
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
240 assert len(y)==size
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
241 for id in range(size):
145
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parents: 139
diff changeset
242 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
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parents: 139
diff changeset
243 i+=1
341
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
244 assert i==2*size # should not wrap
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
245 del x,y,i,id,size
145
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parents: 139
diff changeset
246
341
9c08e3af975e corrected test for dataset.minibatches()
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parents: 315
diff changeset
247 assert have_raised2(ds.minibatches,['x','y'],n_batches=1,minibatch_size=len(array)+1,offset=0)
240
97f35d586727 more test. Are we wanting to limit the size of minibatch to the size of the dataset?
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 239
diff changeset
248 assert not have_raised2(ds.minibatches,['x','y'],n_batches=1,minibatch_size=len(array),offset=0)
145
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diff changeset
249
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
250 def test_ds_iterator(array,iterator1,iterator2,iterator3):
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
251 l=len(iterator1)
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parents: 139
diff changeset
252 i=0
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parents: 139
diff changeset
253 for x,y in iterator1:
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
254 assert (x==array[i][:3]).all()
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
255 assert y==array[i][3]
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
256 assert (numpy.append(x,y)==array[i]).all()
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
257 i+=1
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
258 assert i==l
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
259 i=0
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
260 for y,z in iterator2:
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parents: 139
diff changeset
261 assert y==array[i][3]
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
262 assert (z==array[i][0:3:2]).all()
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
263 i+=1
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
264 assert i==l
933db7ece663 make some function global to reuse them to test other dataset
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parents: 139
diff changeset
265 i=0
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266 for x,y,z in iterator3:
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267 assert (x==array[i][:3]).all()
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268 assert y==array[i][3]
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269 assert (z==array[i][0:3:2]).all()
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270 assert (numpy.append(x,y)==array[i]).all()
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271 i+=1
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272 assert i==l
311
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273
145
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274 def test_getitem(array,ds):
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275 def test_ds(orig,ds,index):
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276 i=0
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277 assert len(ds)==len(index)
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278 for x,z,y in ds('x','z','y'):
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279 assert (orig[index[i]]['x']==array[index[i]][:3]).all()
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280 assert (orig[index[i]]['x']==x).all()
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281 assert orig[index[i]]['y']==array[index[i]][3]
315
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282 assert (orig[index[i]]['y']==y).all() # why does it crash sometimes?
145
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diff changeset
283 assert (orig[index[i]]['z']==array[index[i]][0:3:2]).all()
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284 assert (orig[index[i]]['z']==z).all()
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285 i+=1
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286 del i
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287 ds[0]
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288 if len(ds)>2:
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289 ds[:1]
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diff changeset
290 ds[1:1]
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diff changeset
291 ds[1:1:1]
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diff changeset
292 if len(ds)>5:
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diff changeset
293 ds[[1,2,3]]
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294 for x in ds:
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diff changeset
295 pass
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296
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297 #ds[:n] returns a dataset with the n first examples.
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298 ds2=ds[:3]
311
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diff changeset
299 assert isinstance(ds2,LookupList)
145
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diff changeset
300 test_ds(ds,ds2,index=[0,1,2])
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301 del ds2
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302
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303 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s.
312
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304 ds2=ds.subset[1:7:2]
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diff changeset
305 assert isinstance(ds2,DataSet)
145
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diff changeset
306 test_ds(ds,ds2,[1,3,5])
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diff changeset
307 del ds2
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diff changeset
308
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diff changeset
309 #ds[i]
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diff changeset
310 ds2=ds[5]
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diff changeset
311 assert isinstance(ds2,Example)
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diff changeset
312 assert have_raised("var['ds']["+str(len(ds))+"]",ds=ds) # index not defined
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diff changeset
313 assert not have_raised("var['ds']["+str(len(ds)-1)+"]",ds=ds)
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diff changeset
314 del ds2
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315
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diff changeset
316 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in.
312
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parents: 311
diff changeset
317 ds2=ds.subset[[4,7,2,8]]
145
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diff changeset
318 assert isinstance(ds2,DataSet)
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diff changeset
319 test_ds(ds,ds2,[4,7,2,8])
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diff changeset
320 del ds2
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diff changeset
321
269
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322 #ds.<property># returns the value of a property associated with
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323 #the name <property>. The following properties should be supported:
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diff changeset
324 # - 'description': a textual description or name for the ds
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diff changeset
325 # - 'fieldtypes': a list of types (one per field)
145
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diff changeset
326
269
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diff changeset
327 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3])#????
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parents: 268
diff changeset
328 #assert hstack([ds('x','y'),ds('z')])==ds
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diff changeset
329 #hstack([ds('z','y'),ds('x')])==ds
173
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diff changeset
330 assert have_raised2(hstack,[ds('x'),ds('x')])
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diff changeset
331 assert have_raised2(hstack,[ds('y','x'),ds('x')])
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diff changeset
332 assert not have_raised2(hstack,[ds('x'),ds('y')])
269
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parents: 268
diff changeset
333
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diff changeset
334 # i=0
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diff changeset
335 # for example in hstack([ds('x'),ds('y'),ds('z')]):
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diff changeset
336 # example==ds[i]
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diff changeset
337 # i+=1
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diff changeset
338 # del i,example
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339 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3])#????
145
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diff changeset
340
165
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parents: 164
diff changeset
341 def test_fields_fct(ds):
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parents: 164
diff changeset
342 #@todo, fill correctly
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diff changeset
343 assert len(ds.fields())==3
168
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344 i=0
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345 v=0
165
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diff changeset
346 for field in ds.fields():
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diff changeset
347 for field_value in field: # iterate over the values associated to that field for all the ds examples
168
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diff changeset
348 v+=1
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349 i+=1
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diff changeset
350 assert i==3
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351 assert v==3*10
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352 del i,v
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353
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diff changeset
354 i=0
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diff changeset
355 v=0
165
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parents: 164
diff changeset
356 for field in ds('x','z').fields():
168
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357 i+=1
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diff changeset
358 for val in field:
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359 v+=1
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diff changeset
360 assert i==2
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361 assert v==2*10
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diff changeset
362 del i,v
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parents: 165
diff changeset
363
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diff changeset
364 i=0
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365 v=0
165
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diff changeset
366 for field in ds.fields('x','y'):
168
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367 i+=1
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diff changeset
368 for val in field:
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diff changeset
369 v+=1
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diff changeset
370 assert i==2
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diff changeset
371 assert v==2*10
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diff changeset
372 del i,v
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parents: 165
diff changeset
373
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diff changeset
374 i=0
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diff changeset
375 v=0
165
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parents: 164
diff changeset
376 for field_examples in ds.fields():
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diff changeset
377 for example_value in field_examples:
168
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diff changeset
378 v+=1
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diff changeset
379 i+=1
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diff changeset
380 assert i==3
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diff changeset
381 assert v==3*10
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parents: 165
diff changeset
382 del i,v
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diff changeset
383
165
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parents: 164
diff changeset
384 assert ds == ds.fields().examples()
168
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diff changeset
385 assert len(ds('x','y').fields()) == 2
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parents: 165
diff changeset
386 assert len(ds('x','z').fields()) == 2
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diff changeset
387 assert len(ds('y').fields()) == 1
165
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parents: 164
diff changeset
388
168
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parents: 165
diff changeset
389 del field
315
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parents: 312
diff changeset
390
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parents: 312
diff changeset
391 def test_overrides(ds) :
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diff changeset
392 """ Test for examples that an override __getitem__ acts as the one in DataSet """
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diff changeset
393 def ndarray_list_equal(nda,l) :
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diff changeset
394 """
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diff changeset
395 Compares if a ndarray is the same as the list. Do it by converting the list into
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diff changeset
396 an numpy.ndarray, if possible
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diff changeset
397 """
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diff changeset
398 try :
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parents: 312
diff changeset
399 l = numpy.asmatrix(l)
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diff changeset
400 except :
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diff changeset
401 return False
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parents: 312
diff changeset
402 return smart_equal(nda,l)
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parents: 312
diff changeset
403
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
404 def smart_equal(a1,a2) :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
405 """
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
406 Handles numpy.ndarray, LookupList, and basic containers
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
407 """
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
408 if not isinstance(a1,type(a2)) and not isinstance(a2,type(a1)):
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
409 #special case: matrix vs list of arrays
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
410 if isinstance(a1,numpy.ndarray) :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
411 return ndarray_list_equal(a1,a2)
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
412 elif isinstance(a2,numpy.ndarray) :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
413 return ndarray_list_equal(a2,a1)
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
414 return False
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
415 # compares 2 numpy.ndarray
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
416 if isinstance(a1,numpy.ndarray):
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
417 if len(a1.shape) != len(a2.shape):
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
418 return False
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
419 for k in range(len(a1.shape)) :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
420 if a1.shape[k] != a2.shape[k]:
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
421 return False
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
422 return (a1==a2).all()
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
423 # compares 2 lookuplists
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
424 if isinstance(a1,LookupList) :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
425 if len(a1._names) != len(a2._names) :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
426 return False
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
427 for k in a1._names :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
428 if k not in a2._names :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
429 return False
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
430 if not smart_equal(a1[k],a2[k]) :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
431 return False
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
432 return True
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
433 # compares 2 basic containers
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
434 if hasattr(a1,'__len__'):
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
435 if len(a1) != len(a2) :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
436 return False
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
437 for k in range(len(a1)) :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
438 if not smart_equal(a1[k],a2[k]):
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
439 return False
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
440 return True
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
441 # try basic equals
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
442 return a1 is a2
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
443
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
444 def mask(ds) :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
445 class TestOverride(type(ds)):
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
446 def __init__(self,ds) :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
447 self.ds = ds
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
448 def __getitem__(self,key) :
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
449 res1 = self.ds[key]
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
450 res2 = DataSet.__getitem__(ds,key)
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
451 assert smart_equal(res1,res2)
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
452 return res1
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
453 return TestOverride(ds)
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
454 # test getitem
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
455 ds2 = mask(ds)
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
456 for k in range(10):
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
457 res = ds2[k]
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
458 res = ds2[1:len(ds):3]
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
459
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
460
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
461
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
462
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
463
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
464
194
0040ba0f0666 small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 173
diff changeset
465 def test_all(array,ds):
0040ba0f0666 small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 173
diff changeset
466 assert len(ds)==10
0040ba0f0666 small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 173
diff changeset
467 test_iterate_over_examples(array, ds)
315
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
468 test_overrides(ds)
194
0040ba0f0666 small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 173
diff changeset
469 test_getitem(array, ds)
0040ba0f0666 small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 173
diff changeset
470 test_ds_iterator(array,ds('x','y'),ds('y','z'),ds('x','y','z'))
0040ba0f0666 small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 173
diff changeset
471 test_fields_fct(ds)
145
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
472
315
b48cf8dce2bf test to compare overriden __getitem__ implemented, tested on ArrayDataSet.__getitem__
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents: 312
diff changeset
473
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
474 class T_DataSet(unittest.TestCase):
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
475 def test_ArrayDataSet(self):
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
476 #don't test stream
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
477 #tested only with float value
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
478 #don't always test with y
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
479 #don't test missing value
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
480 #don't test with tuple
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
481 #don't test proterties
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
482 a2 = numpy.random.rand(10,4)
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
483 ds = ArrayDataSet(a2,{'x':slice(3),'y':3,'z':[0,2]})###???tuple not tested
292
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 221 284
diff changeset
484 ds = ArrayDataSet(a2,Example(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
485 #assert ds==a? should this work?
100
574f4db76022 restructuring and added test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 96
diff changeset
486
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
487 test_all(a2,ds)
169
051e07807554 added test for CachedDataSet(ds,cache_all_upon_construction=True)
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 168
diff changeset
488
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
489 del a2, ds
81
4b0859606d05 Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
490
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
491 def test_CachedDataSet(self):
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
492 a = numpy.random.rand(10,4)
292
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 221 284
diff changeset
493 ds1 = ArrayDataSet(a,Example(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
494 ds2 = CachedDataSet(ds1)
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
495 ds3 = CachedDataSet(ds1,cache_all_upon_construction=True)
148
a5329e719229 added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 145
diff changeset
496
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
497 test_all(a,ds2)
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
498 test_all(a,ds3)
169
051e07807554 added test for CachedDataSet(ds,cache_all_upon_construction=True)
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 168
diff changeset
499
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
500 del a,ds1,ds2,ds3
148
a5329e719229 added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 145
diff changeset
501
a5329e719229 added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 145
diff changeset
502
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
503 def test_DataSetFields(self):
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
504 raise NotImplementedError()
161
60e00cce3492 bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 158
diff changeset
505
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
506 def test_ApplyFunctionDataSet(self):
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
507 a = numpy.random.rand(10,4)
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
508 a2 = a+1
292
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 221 284
diff changeset
509 ds1 = ArrayDataSet(a,Example(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested
202
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
510
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
511 ds2 = ApplyFunctionDataSet(ds1,lambda x,y,z: (x+1,y+1,z+1), ['x','y','z'],minibatch_mode=False)
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
512 ds3 = ApplyFunctionDataSet(ds1,lambda x,y,z: (numpy.array(x)+1,numpy.array(y)+1,numpy.array(z)+1),
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
513 ['x','y','z'],
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
514 minibatch_mode=True)
202
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
515
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
516 test_all(a2,ds2)
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
517 test_all(a2,ds3)
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
518
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
519 del a,ds1,ds2,ds3
202
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
520
279
2e22cc120688 passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 278
diff changeset
521 def test_FieldsSubsetDataSet(self):
289
3af204aa71e5 implemented test for FieldsSubsetDataSet. if executed, can take a --debug option to be used in a debugger
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 284
diff changeset
522 a = numpy.random.rand(10,4)
297
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 295
diff changeset
523 ds = ArrayDataSet(a,Example(['x','y','z','w'],[slice(3),3,[0,2],0]))
289
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diff changeset
524 ds = FieldsSubsetDataSet(ds,['x','y','z'])
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diff changeset
525
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diff changeset
526 test_all(a,ds)
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diff changeset
527
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parents: 284
diff changeset
528 del a, ds
295
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529
298
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530 def test_MinibatchDataSet(self):
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531 raise NotImplementedError()
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532 def test_HStackedDataSet(self):
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533 raise NotImplementedError()
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534 def test_VStackedDataSet(self):
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535 raise NotImplementedError()
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536 def test_ArrayFieldsDataSet(self):
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diff changeset
537 raise NotImplementedError()
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538
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diff changeset
539
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540 class T_Exotic1(unittest.TestCase):
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541 class DataSet(DataSet):
295
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542 """ Dummy dataset, where one field is a ndarray of variables size. """
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543 def __len__(self) :
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544 return 100
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545 def fieldNames(self) :
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546 return 'input','target','name'
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547 def minibatches_nowrap(self,fieldnames,minibatch_size,n_batches,offset):
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548 class MultiLengthDataSetIterator(object):
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549 def __init__(self,dataset,fieldnames,minibatch_size,n_batches,offset):
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550 if fieldnames is None: fieldnames = dataset.fieldNames()
297
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diff changeset
551 self.minibatch = Example(fieldnames,range(len(fieldnames)))
295
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552 self.dataset, self.minibatch_size, self.current = dataset, minibatch_size, offset
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553 def __iter__(self):
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554 return self
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555 def next(self):
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556 for k in self.minibatch._names :
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557 self.minibatch[k] = []
298
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558 for ex in range(self.minibatch_size) :
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diff changeset
559 if 'input' in self.minibatch._names:
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diff changeset
560 self.minibatch['input'].append( numpy.array( range(self.current + 1) ) )
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561 if 'target' in self.minibatch._names:
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562 self.minibatch['target'].append( self.current % 2 )
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563 if 'name' in self.minibatch._names:
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diff changeset
564 self.minibatch['name'].append( str(self.current) )
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diff changeset
565 self.current += 1
295
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566 return self.minibatch
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parents: 294
diff changeset
567 return MultiLengthDataSetIterator(self,fieldnames,minibatch_size,n_batches,offset)
298
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diff changeset
568
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diff changeset
569 def test_ApplyFunctionDataSet(self):
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diff changeset
570 ds = T_Exotic1.DataSet()
299
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diff changeset
571 dsa = ApplyFunctionDataSet(ds,lambda x,y,z: (x[-1],y*10,int(z)),['input','target','name'],minibatch_mode=False) #broken!!!!!!
298
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diff changeset
572 for k in range(len(dsa)):
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diff changeset
573 res = dsa[k]
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diff changeset
574 self.failUnless(ds[k]('input')[0][-1] == res('input')[0] , 'problem in first applied function')
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diff changeset
575 res = dsa[33:96:3]
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diff changeset
576
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diff changeset
577 def test_CachedDataSet(self):
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diff changeset
578 ds = T_Exotic1.DataSet()
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parents: 297
diff changeset
579 dsc = CachedDataSet(ds)
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diff changeset
580 for k in range(len(dsc)) :
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diff changeset
581 self.failUnless(numpy.all( dsc[k]('input')[0] == ds[k]('input')[0] ) , (dsc[k],ds[k]) )
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diff changeset
582 res = dsc[:]
229
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parents: 202
diff changeset
583
157
e8c8022582f4 only exec the test if we are the main
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parents: 149
diff changeset
584 if __name__=='__main__':
289
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parents: 284
diff changeset
585 if len(sys.argv)==2:
3af204aa71e5 implemented test for FieldsSubsetDataSet. if executed, can take a --debug option to be used in a debugger
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parents: 284
diff changeset
586 if sys.argv[1]=="--debug":
3af204aa71e5 implemented test for FieldsSubsetDataSet. if executed, can take a --debug option to be used in a debugger
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parents: 284
diff changeset
587 module = __import__("_test_dataset")
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Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 284
diff changeset
588 tests = unittest.TestLoader().loadTestsFromModule(module)
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diff changeset
589 tests.debug()
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Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 284
diff changeset
590 print "bad argument: only --debug is accepted"
3af204aa71e5 implemented test for FieldsSubsetDataSet. if executed, can take a --debug option to be used in a debugger
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 284
diff changeset
591 elif len(sys.argv)==1:
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parents: 284
diff changeset
592 unittest.main()
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diff changeset
593 else:
3af204aa71e5 implemented test for FieldsSubsetDataSet. if executed, can take a --debug option to be used in a debugger
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 284
diff changeset
594 print "bad argument: only --debug is accepted"
229
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parents: 202
diff changeset
595