annotate test_dataset.py @ 240:97f35d586727

more test. Are we wanting to limit the size of minibatch to the size of the dataset?
author Frederic Bastien <bastienf@iro.umontreal.ca>
date Thu, 29 May 2008 10:42:29 -0400
parents 77b362a23f8e
children 0fb75fdd727d
rev   line source
51
59757365a057 the script can be autorun
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1 #!/bin/env python
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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 from misc import *
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6
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7 def have_raised(to_eval, **var):
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8 have_thrown = False
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9 try:
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10 eval(to_eval)
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11 except :
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12 have_thrown = True
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13 return have_thrown
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14
173
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15 def have_raised2(f, *args, **kwargs):
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16 have_thrown = False
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17 try:
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18 f(*args, **kwargs)
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19 except :
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20 have_thrown = True
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21 return have_thrown
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22
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23 def test1():
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24 print "test1"
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25 global a,ds
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26 a = numpy.random.rand(10,4)
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27 print a
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28 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]})
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29 print "len(ds)=",len(ds)
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30 assert(len(ds)==10)
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31 print "example 0 = ",ds[0]
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32 # assert
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33 print "x=",ds["x"]
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34 print "x|y"
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35 for x,y in ds("x","y"):
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36 print x,y
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37 minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4)
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38 minibatch = minibatch_iterator.__iter__().next()
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39 print "minibatch=",minibatch
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40 for var in minibatch:
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41 print "var=",var
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b6730f9a336d Fixing MinibatchDataSet getitem
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42 print "take a slice and look at field y",ds[1:6:2]["y"]
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43
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44 del a,ds,x,y,minibatch_iterator,minibatch,var
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45
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46 def test_iterate_over_examples(array,ds):
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47 #not in doc!!!
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48 i=0
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49 for example in range(len(ds)):
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50 assert (ds[example]['x']==array[example][:3]).all()
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51 assert ds[example]['y']==array[example][3]
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52 assert (ds[example]['z']==array[example][[0,2]]).all()
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53 i+=1
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54 assert i==len(ds)
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55 del example,i
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56
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57 # - for example in dataset:
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58 i=0
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59 for example in ds:
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60 assert len(example)==3
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61 assert (example['x']==array[i][:3]).all()
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62 assert example['y']==array[i][3]
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63 assert (example['z']==array[i][0:3:2]).all()
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64 assert (numpy.append(example['x'],example['y'])==array[i]).all()
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65 i+=1
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66 assert i==len(ds)
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67 del example,i
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68
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69 # - for val1,val2,... in dataset:
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70 i=0
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71 for x,y,z in ds:
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72 assert (x==array[i][:3]).all()
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73 assert y==array[i][3]
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74 assert (z==array[i][0:3:2]).all()
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75 assert (numpy.append(x,y)==array[i]).all()
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76 i+=1
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77 assert i==len(ds)
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78 del x,y,z,i
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79
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80 # - for example in dataset(field1, field2,field3, ...):
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81 i=0
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82 for example in ds('x','y','z'):
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83 assert len(example)==3
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84 assert (example['x']==array[i][:3]).all()
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85 assert example['y']==array[i][3]
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86 assert (example['z']==array[i][0:3:2]).all()
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87 assert (numpy.append(example['x'],example['y'])==array[i]).all()
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88 i+=1
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89 assert i==len(ds)
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90 del example,i
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91 i=0
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92 for example in ds('y','x'):
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93 assert len(example)==2
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94 assert (example['x']==array[i][:3]).all()
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95 assert example['y']==array[i][3]
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96 assert (numpy.append(example['x'],example['y'])==array[i]).all()
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97 i+=1
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98 assert i==len(ds)
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99 del example,i
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100
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101 # - for val1,val2,val3 in dataset(field1, field2,field3):
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102 i=0
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103 for x,y,z in ds('x','y','z'):
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104 assert (x==array[i][:3]).all()
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105 assert y==array[i][3]
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106 assert (z==array[i][0:3:2]).all()
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107 assert (numpy.append(x,y)==array[i]).all()
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108 i+=1
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109 assert i==len(ds)
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110 del x,y,z,i
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111 i=0
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112 for y,x in ds('y','x',):
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113 assert (x==array[i][:3]).all()
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114 assert y==array[i][3]
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115 assert (numpy.append(x,y)==array[i]).all()
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116 i+=1
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117 assert i==len(ds)
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118 del x,y,i
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119
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120 def test_minibatch_size(minibatch,minibatch_size,len_ds,nb_field,nb_iter_finished):
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121 ##full minibatch or the last minibatch
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122 for idx in range(nb_field):
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123 test_minibatch_field_size(minibatch[idx],minibatch_size,len_ds,nb_iter_finished)
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124 del idx
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125 def test_minibatch_field_size(minibatch_field,minibatch_size,len_ds,nb_iter_finished):
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126 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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127
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128 # - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N):
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129 i=0
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130 mi=0
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131 m=ds.minibatches(['x','z'], minibatch_size=3)
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132 assert isinstance(m,DataSet.MinibatchWrapAroundIterator)
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133 for minibatch in m:
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134 assert isinstance(minibatch,DataSetFields)
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parents: 139
diff changeset
135 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
136 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
137 if type(ds)==ArrayDataSet:
60e00cce3492 bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 158
diff changeset
138 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
139 else:
162
45427d4d64b3 bugfix in test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 161
diff changeset
140 for j in xrange(len(minibatch[0])):
45427d4d64b3 bugfix in test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 161
diff changeset
141 (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
142 mi+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
143 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
144 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
145 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
146 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
147
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
148 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
149 mi=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
150 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
151 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
152 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
153 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
154 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
155 mi+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
156 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
157 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
158 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
159 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
160 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
161 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
162
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
163 # - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N):
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Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
164 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
165 mi=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
166 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
167 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
168 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
169 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
170 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
171 for id in range(len(x)):
3518710e16ec don't assume we have an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 162
diff changeset
172 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
173 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
174 mi+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
175 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
176 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
177 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
178 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
179 mi=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
180 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
181 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
182 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
183 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
184 mi+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
185 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
186 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
187 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
188 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
189 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
190 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
191
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
192 #not in doc
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Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
193 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
194 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
195 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
196 for x,y in m:
239
77b362a23f8e more general test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 236
diff changeset
197 assert len(x)==m.minibatch_size
77b362a23f8e more general test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 236
diff changeset
198 assert len(y)==m.minibatch_size
77b362a23f8e more general test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 236
diff changeset
199 for id in range(m.minibatch_size):
145
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
200 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
201 i+=1
239
77b362a23f8e more general test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 236
diff changeset
202 assert i==m.n_batches*m.minibatch_size
145
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
203 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
204
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
205 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
206 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
207 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
208 for x,y in m:
239
77b362a23f8e more general test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 236
diff changeset
209 assert len(x)==m.minibatch_size
77b362a23f8e more general test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 236
diff changeset
210 assert len(y)==m.minibatch_size
77b362a23f8e more general test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 236
diff changeset
211 for id in range(m.minibatch_size):
145
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
212 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
213 i+=1
239
77b362a23f8e more general test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 236
diff changeset
214 assert i==m.n_batches*m.minibatch_size
145
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
215 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
216
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
217 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
218 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
219 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
220 for x,y in m:
239
77b362a23f8e more general test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 236
diff changeset
221 assert len(x)==m.minibatch_size
77b362a23f8e more general test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 236
diff changeset
222 assert len(y)==m.minibatch_size
77b362a23f8e more general test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 236
diff changeset
223 for id in range(m.minibatch_size):
145
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
224 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
225 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
226 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
227 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
228
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
229 #@todo: we can't do minibatch bigger then the size of the dataset???
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
230 assert have_raised2(ds.minibatches,['x','y'],n_batches=1,minibatch_size=len(array)+1,offset=0)
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
231 assert not have_raised2(ds.minibatches,['x','y'],n_batches=1,minibatch_size=len(array),offset=0)
145
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
232
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
233 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
234 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
235 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
236 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
237 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
238 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
239 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
240 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
241 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
242 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
243 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
244 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
245 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
246 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
247 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
248 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
249 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
250 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
251 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
252 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
253 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
254 i+=1
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
255 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
256
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
257 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
258 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
259 i=0
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
260 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
261 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
262 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
263 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
264 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
265 assert orig[index[i]]['y']==y
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266 assert (orig[index[i]]['z']==array[index[i]][0:3:2]).all()
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267 assert (orig[index[i]]['z']==z).all()
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268 i+=1
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269 del i
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270 ds[0]
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271 if len(ds)>2:
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272 ds[:1]
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273 ds[1:1]
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274 ds[1:1:1]
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275 if len(ds)>5:
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276 ds[[1,2,3]]
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277 for x in ds:
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278 pass
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279
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280 #ds[:n] returns a dataset with the n first examples.
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281 ds2=ds[:3]
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282 assert isinstance(ds2,DataSet)
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283 test_ds(ds,ds2,index=[0,1,2])
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284 del ds2
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285
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286 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s.
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287 ds2=ds[1:7:2]
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288 assert isinstance(ds2,DataSet)
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289 test_ds(ds,ds2,[1,3,5])
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290 del ds2
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291
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292 #ds[i]
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293 ds2=ds[5]
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294 assert isinstance(ds2,Example)
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295 assert have_raised("var['ds']["+str(len(ds))+"]",ds=ds) # index not defined
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296 assert not have_raised("var['ds']["+str(len(ds)-1)+"]",ds=ds)
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297 del ds2
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298
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299 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in.
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300 ds2=ds[[4,7,2,8]]
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301 assert isinstance(ds2,DataSet)
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302 test_ds(ds,ds2,[4,7,2,8])
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303 del ds2
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304
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305 #ds[fieldname]# an iterable over the values of the field fieldname across
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306 #the ds (the iterable is obtained by default by calling valuesVStack
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307 #over the values for individual examples).
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308 assert have_raised("ds['h']") # h is not defined...
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309 assert have_raised("ds[['x']]") # bad syntax
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310 assert not have_raised("var['ds']['x']",ds=ds)
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311 isinstance(ds['x'],DataSetFields)
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312 ds2=ds['x']
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313 assert len(ds['x'])==10
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314 assert len(ds['y'])==10
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315 assert len(ds['z'])==10
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316 i=0
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317 for example in ds['x']:
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318 assert (example==array[i][:3]).all()
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319 i+=1
168
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320 assert i==len(ds)
145
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321 i=0
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322 for example in ds['y']:
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323 assert (example==array[i][3]).all()
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324 i+=1
168
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325 assert i==len(ds)
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326 i=0
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327 for example in ds['z']:
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328 assert (example==array[i,0:3:2]).all()
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329 i+=1
168
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330 assert i==len(ds)
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331 del ds2,i
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332
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333 #ds.<property># returns the value of a property associated with
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334 #the name <property>. The following properties should be supported:
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335 # - 'description': a textual description or name for the ds
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336 # - 'fieldtypes': a list of types (one per field)
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337
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338 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3])#????
173
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339 #assert hstack([ds('x','y'),ds('z')])==ds
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340 #hstack([ds('z','y'),ds('x')])==ds
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341 assert have_raised2(hstack,[ds('x'),ds('x')])
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342 assert have_raised2(hstack,[ds('y','x'),ds('x')])
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343 assert not have_raised2(hstack,[ds('x'),ds('y')])
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344
145
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345 # i=0
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346 # for example in hstack([ds('x'),ds('y'),ds('z')]):
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347 # example==ds[i]
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348 # i+=1
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349 # del i,example
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350 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3])#????
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351
165
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352 def test_fields_fct(ds):
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353 #@todo, fill correctly
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354 assert len(ds.fields())==3
168
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355 i=0
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356 v=0
165
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357 for field in ds.fields():
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358 for field_value in field: # iterate over the values associated to that field for all the ds examples
168
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359 v+=1
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360 i+=1
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361 assert i==3
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362 assert v==3*10
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363 del i,v
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364
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365 i=0
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366 v=0
165
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367 for field in ds('x','z').fields():
168
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368 i+=1
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369 for val in field:
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370 v+=1
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371 assert i==2
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372 assert v==2*10
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373 del i,v
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374
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375 i=0
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376 v=0
165
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377 for field in ds.fields('x','y'):
168
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378 i+=1
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379 for val in field:
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380 v+=1
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381 assert i==2
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382 assert v==2*10
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383 del i,v
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384
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385 i=0
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386 v=0
165
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387 for field_examples in ds.fields():
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388 for example_value in field_examples:
168
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389 v+=1
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390 i+=1
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391 assert i==3
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392 assert v==3*10
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393 del i,v
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diff changeset
394
165
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diff changeset
395 assert ds == ds.fields().examples()
168
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diff changeset
396 assert len(ds('x','y').fields()) == 2
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397 assert len(ds('x','z').fields()) == 2
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diff changeset
398 assert len(ds('y').fields()) == 1
165
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diff changeset
399
168
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diff changeset
400 del field
194
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diff changeset
401 def test_all(array,ds):
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diff changeset
402 assert len(ds)==10
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parents: 173
diff changeset
403
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diff changeset
404 test_iterate_over_examples(array, ds)
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parents: 173
diff changeset
405 test_getitem(array, ds)
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diff changeset
406 test_ds_iterator(array,ds('x','y'),ds('y','z'),ds('x','y','z'))
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parents: 173
diff changeset
407 test_fields_fct(ds)
145
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diff changeset
408
58
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parents: 54
diff changeset
409 def test_ArrayDataSet():
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parents: 54
diff changeset
410 #don't test stream
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parents: 54
diff changeset
411 #tested only with float value
106
cf9bdb1d9656 added test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 104
diff changeset
412 #don't always test with y
cf9bdb1d9656 added test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 104
diff changeset
413 #don't test missing value
cf9bdb1d9656 added test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 104
diff changeset
414 #don't test with tuple
cf9bdb1d9656 added test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 104
diff changeset
415 #don't test proterties
84
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
416 print "test_ArrayDataSet"
145
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
417 a2 = numpy.random.rand(10,4)
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
418 ds = ArrayDataSet(a2,{'x':slice(3),'y':3,'z':[0,2]})###???tuple not tested
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
419 ds = ArrayDataSet(a2,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested
58
17729d7104fa added function test_ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 54
diff changeset
420 #assert ds==a? should this work?
100
574f4db76022 restructuring and added test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 96
diff changeset
421
194
0040ba0f0666 small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 173
diff changeset
422 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
423
165
2a12e7437c56 small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 164
diff changeset
424 del a2, ds
81
4b0859606d05 Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
425
4b0859606d05 Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
426 def test_LookupList():
4b0859606d05 Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
427 #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
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
428 print "test_LookupList"
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
429 example = LookupList(['x','y','z'],[1,2,3])
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
430 example['x'] = [1, 2, 3] # set or change a field
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
431 x, y, z = example
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
432 x = example[0]
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
433 x = example["x"]
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
434 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
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
435 assert example.values()==[[1,2,3],2,3]
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
436 assert example.items()==[('x',[1,2,3]),('y',2),('z',3)]
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
437 example.append_keyval('u',0) # adds item with name 'u' and value 0
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
438 assert len(example)==4 # number of items = 4 here
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
439 example2 = LookupList(['v','w'], ['a','b'])
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
440 example3 = LookupList(['x','y','z','u','v','w'], [[1, 2, 3],2,3,0,'a','b'])
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
441 assert example+example2==example3
145
933db7ece663 make some function global to reuse them to test other dataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 139
diff changeset
442 assert have_raised("var['x']+var['x']",x=example)
81
4b0859606d05 Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
443
165
2a12e7437c56 small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 164
diff changeset
444 del example, example2, example3, x, y ,z
2a12e7437c56 small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 164
diff changeset
445
158
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 157
diff changeset
446 def test_CachedDataSet():
148
a5329e719229 added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 145
diff changeset
447 print "test_CacheDataSet"
169
051e07807554 added test for CachedDataSet(ds,cache_all_upon_construction=True)
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 168
diff changeset
448 a = numpy.random.rand(10,4)
051e07807554 added test for CachedDataSet(ds,cache_all_upon_construction=True)
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 168
diff changeset
449 ds1 = ArrayDataSet(a,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested
148
a5329e719229 added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 145
diff changeset
450 ds2 = CachedDataSet(ds1)
a5329e719229 added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 145
diff changeset
451 ds3 = CachedDataSet(ds1,cache_all_upon_construction=True)
a5329e719229 added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 145
diff changeset
452
195
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 194
diff changeset
453 test_all(a,ds2)
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 194
diff changeset
454 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
455
051e07807554 added test for CachedDataSet(ds,cache_all_upon_construction=True)
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 168
diff changeset
456 del a,ds1,ds2,ds3
148
a5329e719229 added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 145
diff changeset
457
a5329e719229 added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 145
diff changeset
458
161
60e00cce3492 bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 158
diff changeset
459 def test_DataSetFields():
60e00cce3492 bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 158
diff changeset
460 print "test_DataSetFields"
60e00cce3492 bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 158
diff changeset
461 raise NotImplementedError()
60e00cce3492 bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 158
diff changeset
462
84
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
463 def test_ApplyFunctionDataSet():
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
464 print "test_ApplyFunctionDataSet"
202
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
465 a = numpy.random.rand(10,4)
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
466 a2 = a+1
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
467 ds1 = ArrayDataSet(a,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
468
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
469 ds2 = ApplyFunctionDataSet(ds1,lambda x,y,z: (x+1,y+1,z+1), ['x','y','z'],minibatch_mode=False)
229
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
470 ds3 = ApplyFunctionDataSet(ds1,lambda x,y,z: (numpy.array(x)+1,numpy.array(y)+1,numpy.array(z)+1),
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
471 ['x','y','z'],
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
472 minibatch_mode=True)
202
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
473
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
474 test_all(a2,ds2)
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
475 test_all(a2,ds3)
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
476
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
477 del a,ds1,ds2,ds3
b9950ae5e54b Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 195
diff changeset
478
84
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
479 def test_FieldsSubsetDataSet():
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
480 print "test_FieldsSubsetDataSet"
81
4b0859606d05 Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
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
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
482 def test_MinibatchDataSet():
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
483 print "test_MinibatchDataSet"
81
4b0859606d05 Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
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
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
485 def test_HStackedDataSet():
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
486 print "test_HStackedDataSet"
81
4b0859606d05 Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
487 raise NotImplementedError()
84
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
488 def test_VStackedDataSet():
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
489 print "test_VStackedDataSet"
81
4b0859606d05 Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
490 raise NotImplementedError()
84
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
491 def test_ArrayFieldsDataSet():
aa9e786ee849 added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 82
diff changeset
492 print "test_ArrayFieldsDataSet"
81
4b0859606d05 Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 66
diff changeset
493 raise NotImplementedError()
229
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
494
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
495
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
496 def test_speed():
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
497 print "test_speed"
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
498 import time
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
499 a2 = numpy.random.rand(100000,400)
230
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
500 ds = ArrayDataSet(a2,{'all':slice(0,a2.shape[1],1)})
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
501 mat = numpy.random.rand(400,100)
229
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
502 @print_timing
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
503 def f_array1(a):
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
504 a+1
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
505 @print_timing
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
506 def f_array2(a):
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
507 for id in range(a.shape[0]):
230
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
508 # pass
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
509 a[id]+1
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
510 # a[id]*mat
229
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
511 @print_timing
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
512 def f_ds(ds):
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
513 for ex in ds:
230
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
514 # pass
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
515 ex[0]+1
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
516 # a[id]*mat
229
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
517 @print_timing
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
518 def f_ds_mb1(ds,mb_size):
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
519 for exs in ds.minibatches(minibatch_size = mb_size):
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
520 for ex in exs:
230
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
521 # pass
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
522 ex[0]+1
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
523 # ex[id]*mat
229
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
524 @print_timing
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
525 def f_ds_mb2(ds,mb_size):
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
526 for exs in ds.minibatches(minibatch_size = mb_size):
230
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
527 # pass
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
528 exs[0]+1
4d1bd2513e06 more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 229
diff changeset
529 # ex[id]*mat
229
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
530
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
531 f_array1(a2)
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
532 f_array2(a2)
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
533
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
534 f_ds(ds)
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
535
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
536 f_ds_mb1(ds,10)
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
537 f_ds_mb1(ds,100)
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
538 f_ds_mb1(ds,1000)
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
539 f_ds_mb1(ds,10000)
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
540 f_ds_mb2(ds,10)
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
541 f_ds_mb2(ds,100)
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
542 f_ds_mb2(ds,1000)
d7250ee86f72 Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents: 202
diff changeset
543 f_ds_mb2(ds,10000)
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544
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545 del a2, ds
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546
157
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547 if __name__=='__main__':
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548 test1()
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549 test_LookupList()
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550 test_ArrayDataSet()
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551 test_CachedDataSet()
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552 test_ApplyFunctionDataSet()
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553 #test_speed()
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554 #test pmat.py
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555