Mercurial > pylearn

annotate test_dataset.py @ 81:4b0859606d05

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Added test for ArrayDataSet and LookUpList
author Frederic Bastien <bastienf@iro.umontreal.ca>
date Mon, 05 May 2008 10:57:33 -0400
parents dde1fb1b63ba
children 158653a9bc7c
rev   line source
51
59757365a057 the script can be autorun
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diff changeset
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
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6 def test1():
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7 global a,ds
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8 a = numpy.random.rand(10,4)
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9 print a
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10 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]})
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11 print "len(ds)=",len(ds)
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12 assert(len(ds)==10)
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13 print "example 0 = ",ds[0]
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14 # assert
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15 print "x=",ds["x"]
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16 print "x|y"
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17 for x,y in ds("x","y"):
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18 print x,y
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19 minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4)
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20 minibatch = minibatch_iterator.__iter__().next()
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21 print "minibatch=",minibatch
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22 for var in minibatch:
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23 print "var=",var
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24 print "take a slice and look at field y",ds[1:6:2]["y"]
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26 def test_ArrayDataSet():
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27 #don't test stream
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28 #tested only with float value
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29 #test with y too
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30 #test missing value
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31
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32 a = numpy.random.rand(10,4)
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33 print a
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34 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]})
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35 assert len(ds)==10
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36 #assert ds==a? should this work?
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37 for i in range(len(ds)):
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38 assert ds[i]['x'].all()==a[i][:2].all()
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39 assert ds[i]['y']==a[i][3]
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40 assert ds[i]['z'].all()==a[i][0:3:2].all()
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41 print "x=",ds["x"]
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42 i=0
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43 for x in ds('x','y'):
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44 assert numpy.append(x['x'],x['y']).all()==a[i].all()
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45 i+=1
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47 i=0
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48 for x,y in ds('x','y'):
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49 assert numpy.append(x,y).all()==a[i].all()
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50 i+=1
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51 for minibatch in ds.minibatches(['x','z'], minibatch_size=3):
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52 assert minibatch[0][:,0:3:2].all()==minibatch[1].all()
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53 for x,z in ds.minibatches(['x','z'], minibatch_size=3):
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54 assert x[:,0:3:2].all()==z.all()
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55
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56 # for minibatch in ds.minibatches(['z','y'], minibatch_size=3):
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57 # print minibatch
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58 # minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4)
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59 # minibatch = minibatch_iterator.__iter__().next()
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60 # print "minibatch=",minibatch
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61 # for var in minibatch:
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62 # print "var=",var
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63 # print "take a slice and look at field y",ds[1:6:2]["y"]
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64 have_thrown = False
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65 try:
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66 ds['h'] # h is not defined...
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67 except :
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68 have_thrown = True
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69 assert have_thrown == True
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71 have_thrown = False
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72 try:
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73 ds[['h']] # h is not defined...
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74 except :
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75 have_thrown = True
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76 assert have_thrown == True
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77
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78 assert len(ds.fields())==3
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79 for field in ds.fields():
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80 for field_value in field: # iterate over the values associated to that field for all the ds examples
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81 pass
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82 for field in ds('x','z').fields():
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83 pass
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84 for field in ds.fields('x','y'):
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85 pass
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86 for field_examples in ds.fields():
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87 for example_value in field_examples:
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88 pass
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89
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90 assert ds == ds.fields().examples()
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91
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92
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93 #ds[:n] returns a dataset with the n first examples.
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94 assert len(ds[:3])==3
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95 i=0
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96 for x,z in ds[:3]('x','z'):
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97 assert ds[i]['z'].all()==a[i][0:3:2].all()
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98 i+=1
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99
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100 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s.
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101 ds[1:7:2][1] #fail???
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102 assert len(ds[1:7:2])==3 # should be number example 1,3 and 5
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103 i=0
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104 for x,z in ds[1:7:2]('x','z'):
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105 assert ds[i]['z'].all()==a[i][0:3:2].all()
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106 i+=1
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107 ds2=ds[1:7:2]
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108 for i in range(len(ds2)):
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109 print ds2[i]
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110 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in.
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111 i=0
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112 for x in ds[[1,2]]:
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113 assert numpy.append(x['x'],x['y']).all()==a[i].all()
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114 i+=1
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115 #ds[i1,i2,...]# should we accept????
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116 #ds[fieldname]# an iterable over the values of the field fieldname across
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117 #the ds (the iterable is obtained by default by calling valuesVStack
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118 #over the values for individual examples).
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119
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120 #ds.<property># returns the value of a property associated with
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121 #the name <property>. The following properties should be supported:
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122 # - 'description': a textual description or name for the ds
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123 # - 'fieldtypes': a list of types (one per field)
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124 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3])
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125 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3])
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126
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127
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128 # for (x,y) in (ds('x','y'),a): #don't work # haven't found a variant that work.
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129 # assert numpy.append(x,y)==z
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130
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131 def test_LookupList():
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132 #test only the example in the doc???
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133 example = LookupList(['x','y','z'],[1,2,3])
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134 example['x'] = [1, 2, 3] # set or change a field
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135 x, y, z = example
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136 x = example[0]
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137 x = example["x"]
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138 assert example.keys()==['x','y','z']
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139 assert example.values()==[[1,2,3],2,3]
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140 assert example.items()==[('x',[1,2,3]),('y',2),('z',3)]
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141 example.append_keyval('u',0) # adds item with name 'u' and value 0
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142 assert len(example)==4 # number of items = 4 here
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143 example2 = LookupList(['v','w'], ['a','b'])
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144 example3 = LookupList(['x','y','z','u','v','w'], [[1, 2, 3],2,3,0,'a','b'])
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145 print example3
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146 print example+example2
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147 print example+example2
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148 assert example+example2==example3
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149 have_throw=False
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150 try:
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151 example+example
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152 except:
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153 have_throw=True
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154 assert have_throw
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155
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156 def ApplyFunctionDataSet():
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157 raise NotImplementedError()
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158 def CacheDataSet():
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159 raise NotImplementedError()
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160 def FieldsSubsetDataSet():
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161 raise NotImplementedError()
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162 def DataSetFields():
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163 raise NotImplementedError()
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164 def MinibatchDataSet():
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165 raise NotImplementedError()
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166 def HStackedDataSet():
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167 raise NotImplementedError()
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168 def VStackedDataSet():
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169 raise NotImplementedError()
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170 def ArrayFieldsDataSet():
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171 raise NotImplementedError()
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172
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173 test_LookupList()
65
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174 test_ArrayDataSet()
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175
81
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176
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177