annotate test_dataset.py @ 89:05dc4804357b

more test and refactoring
author Frederic Bastien <bastienf@iro.umontreal.ca>
date Mon, 05 May 2008 16:54:16 -0400
parents 3fd6879e0f76
children eee739fefdff
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
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5
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6 def have_raised(to_eval):
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7 have_thrown = False
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8 try:
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9 eval(to_eval)
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10 except :
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11 have_thrown = True
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12 return have_thrown
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13
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14 def test1():
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15 print "test1"
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16 global a,ds
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17 a = numpy.random.rand(10,4)
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18 print a
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19 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]})
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20 print "len(ds)=",len(ds)
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21 assert(len(ds)==10)
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22 print "example 0 = ",ds[0]
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23 # assert
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24 print "x=",ds["x"]
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25 print "x|y"
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26 for x,y in ds("x","y"):
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27 print x,y
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28 minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4)
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29 minibatch = minibatch_iterator.__iter__().next()
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30 print "minibatch=",minibatch
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31 for var in minibatch:
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32 print "var=",var
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b6730f9a336d Fixing MinibatchDataSet getitem
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33 print "take a slice and look at field y",ds[1:6:2]["y"]
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35 def test_ArrayDataSet():
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36 #don't test stream
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37 #tested only with float value
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38 #test with y too
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39 #test missing value
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41 print "test_ArrayDataSet"
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42 a = numpy.random.rand(10,4)
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43 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]})###???tuple not tested
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45 assert len(ds)==10
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46 #assert ds==a? should this work?
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48 #not in doc!!!
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49 for example in range(len(ds)):
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50 assert ds[example]['x'].all()==a[example][:2].all()
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51 assert ds[example]['y']==a[example][3]
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52 assert ds[example]['z'].all()==a[example][0:3:2].all()
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53 # - for example in dataset::
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54 i=0
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55 for example in ds:
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56 assert example['x'].all()==a[i][:2].all()
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57 assert example['y']==a[i][3]
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58 assert example['z'].all()==a[i][0:3:2].all()
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59 assert numpy.append(example['x'],example['y']).all()==a[i].all()
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60 i+=1
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61 assert i==len(ds)
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63 def test_ds_iterator(iterator1,iterator2,iterator3):
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64 i=0
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65 for x,y in iterator1:
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66 assert x.all()==a[i][:2].all()
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67 assert y==a[i][3]
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68 assert numpy.append(x,y).all()==a[i].all()
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69 i+=1
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70 assert i==len(ds)
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71 i=0
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72 for y,z in iterator2:
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73 assert y==a[i][3]
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74 assert z.all()==a[i][0:3:2].all()
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75 i+=1
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76 assert i==len(ds)
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77 i=0
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78 for x,y,z in iterator3:
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79 assert x.all()==a[i][:2].all()
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80 assert y==a[i][3]
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81 assert z.all()==a[i][0:3:2].all()
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82 assert numpy.append(x,y).all()==a[i].all()
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83 i+=1
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84 assert i==len(ds)
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86 #not in doc!!! - for val1,val2,val3 in dataset(field1, field2,field3):
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87 test_ds_iterator(ds('x','y'),ds('y','z'),ds('x','y','z'))
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88
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89 #not in doc!!! - for val1,val2,val3 in dataset((field1, field2,field3)):
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90 test_ds_iterator(ds(('x','y')),ds(('y','z')),ds(('x','y','z')))
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91
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92 # - for val1,val2,val3 in dataset([field1, field2,field3]): #was bugged
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93 test_ds_iterator(ds(['x','y']),ds(['y','z']),ds(['x','y','z']))
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94
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95 # - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N):
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96 for minibatch in ds.minibatches(['x','z'], minibatch_size=3):
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97 assert len(minibatch)==2
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98 assert len(minibatch[0])==3
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99 assert len(minibatch[1])==3
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100 assert minibatch[0][:,0:3:2].all()==minibatch[1].all()
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101 i=0
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102 for minibatch in ds.minibatches(['x','y'], minibatch_size=3):
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103 assert len(minibatch)==2
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104 assert len(minibatch[0])==3
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105 assert len(minibatch[1])==3
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106 for id in range(3):
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107 assert numpy.append(minibatch[0][id],minibatch[1][id]).all()==a[i].all()
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108 i+=1
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109
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110 # - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N):
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111 for x,z in ds.minibatches(['x','z'], minibatch_size=3):
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112 assert len(x)==3
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113 assert len(z)==3
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114 assert x[:,0:3:2].all()==z.all()
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115 i=0
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116 for x,y in ds.minibatches(['x','y'], minibatch_size=3):
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117 assert len(x)==3
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118 assert len(y)==3
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119 for id in range(3):
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120 assert numpy.append(minibatch[0][id],minibatch[1][id]).all()==a[i].all()
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121 i+=1
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122 # - for x,y,z in dataset: # fail x,y,z order not fixed as it is a dict.
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123 # for x,y,z in ds:
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124 # assert x.all()==a[i][:2].all()
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125 # assert y==a[i][3]
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126 # assert z.all()==a[i][0:3:2].all()
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127 # assert numpy.append(x,y).all()==a[i].all()
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128 # i+=1
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129
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130 # for minibatch in ds.minibatches(['z','y'], minibatch_size=3):
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131 # print minibatch
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132 # minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4)
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133 # minibatch = minibatch_iterator.__iter__().next()
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134 # print "minibatch=",minibatch
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135 # for var in minibatch:
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136 # print "var=",var
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137 # print "take a slice and look at field y",ds[1:6:2]["y"]
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138 assert have_raised("ds['h']") # h is not defined...
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139 assert have_raised("ds[['h']]") # h is not defined...
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140
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141 assert len(ds.fields())==3
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142 for field in ds.fields():
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143 for field_value in field: # iterate over the values associated to that field for all the ds examples
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144 pass
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145 for field in ds('x','z').fields():
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146 pass
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147 for field in ds.fields('x','y'):
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148 pass
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149 for field_examples in ds.fields():
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150 for example_value in field_examples:
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151 pass
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152
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153 assert ds == ds.fields().examples()
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154
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155 def test_ds(orig,ds,index):
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156 i=0
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157 assert len(ds)==len(index)
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158 for x,z,y in ds('x','z','y'):
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159 assert orig[index[i]]['x'].all()==a[index[i]][:3].all()
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160 assert orig[index[i]]['x'].all()==x.all()
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161 assert orig[index[i]]['y']==a[index[i]][3]
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162 assert orig[index[i]]['y']==y
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163 assert orig[index[i]]['z'].all()==a[index[i]][0:3:2].all()
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164 assert orig[index[i]]['z'].all()==z.all()
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165 i+=1
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166 del i
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167 ds[0]
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168 if len(ds)>2:
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169 ds[:1]
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170 ds[1:1]
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171 ds[1:1:1]
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172 if len(ds)>5:
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173 ds[[1,2,3]]
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174 for x in ds:
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175 pass
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176
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177 #ds[:n] returns a dataset with the n first examples.
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178 ds2=ds[:3]
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179 test_ds(ds,ds2,index=[0,1,2])
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180
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181 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s.
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182 ds2=ds[1:7:2]
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183 test_ds(ds,ds2,[1,3,5])
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184
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185 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in.
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186 ds2=ds[[4,7,2,8]]
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187 test_ds(ds,ds2,[4,7,2,8])
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188 #ds[i1,i2,...]# should we accept????
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189
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190 #ds[fieldname]# an iterable over the values of the field fieldname across
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191 #the ds (the iterable is obtained by default by calling valuesVStack
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192 #over the values for individual examples).
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193
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194 #ds.<property># returns the value of a property associated with
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195 #the name <property>. The following properties should be supported:
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196 # - 'description': a textual description or name for the ds
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197 # - 'fieldtypes': a list of types (one per field)
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198 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3])
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199 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3])
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200
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201 # for (x,y) in (ds('x','y'),a): #don't work # haven't found a variant that work.
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202 # assert numpy.append(x,y)==z
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203
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204 def test_LookupList():
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205 #test only the example in the doc???
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206 print "test_LookupList"
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207 example = LookupList(['x','y','z'],[1,2,3])
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208 example['x'] = [1, 2, 3] # set or change a field
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209 x, y, z = example
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210 x = example[0]
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211 x = example["x"]
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212 assert example.keys()==['x','y','z']
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213 assert example.values()==[[1,2,3],2,3]
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214 assert example.items()==[('x',[1,2,3]),('y',2),('z',3)]
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215 example.append_keyval('u',0) # adds item with name 'u' and value 0
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diff changeset
216 assert len(example)==4 # number of items = 4 here
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217 example2 = LookupList(['v','w'], ['a','b'])
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218 example3 = LookupList(['x','y','z','u','v','w'], [[1, 2, 3],2,3,0,'a','b'])
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diff changeset
219 assert example+example2==example3
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diff changeset
220 assert have_raised("example+example")
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221
84
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222 def test_ApplyFunctionDataSet():
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223 print "test_ApplyFunctionDataSet"
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224 raise NotImplementedError()
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225 def test_CacheDataSet():
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226 print "test_CacheDataSet"
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227 raise NotImplementedError()
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228 def test_FieldsSubsetDataSet():
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229 print "test_FieldsSubsetDataSet"
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230 raise NotImplementedError()
84
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231 def test_DataSetFields():
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232 print "test_DataSetFields"
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233 raise NotImplementedError()
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234 def test_MinibatchDataSet():
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235 print "test_MinibatchDataSet"
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236 raise NotImplementedError()
84
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237 def test_HStackedDataSet():
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238 print "test_HStackedDataSet"
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239 raise NotImplementedError()
84
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240 def test_VStackedDataSet():
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241 print "test_VStackedDataSet"
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242 raise NotImplementedError()
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243 def test_ArrayFieldsDataSet():
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244 print "test_ArrayFieldsDataSet"
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245 raise NotImplementedError()
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246
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247 test1()
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248 test_LookupList()
65
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diff changeset
249 test_ArrayDataSet()
64
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diff changeset
250