Mercurial > pylearn
annotate _test_dataset.py @ 436:d7ed780364b3
image_tools
author | Olivier Breuleux <breuleuo@iro.umontreal.ca> |
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date | Wed, 06 Aug 2008 19:39:14 -0400 |
parents | 18702ceb2096 |
children | 82da179d95b2 |
rev | line source |
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the script can be autorun
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1 #!/bin/env python |
45 | 2 from dataset import * |
3 from math import * | |
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4 import numpy, unittest, sys |
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Added more functions
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5 #from misc import * |
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better testing of the MultiLengthDataSet, now called exotic1
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6 from lookup_list import LookupList |
45 | 7 |
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8 def have_raised(to_eval, **var): |
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9 have_thrown = False |
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10 try: |
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11 eval(to_eval) |
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12 except : |
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13 have_thrown = True |
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14 return have_thrown |
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15 |
173 | 16 def have_raised2(f, *args, **kwargs): |
17 have_thrown = False | |
18 try: | |
19 f(*args, **kwargs) | |
20 except : | |
21 have_thrown = True | |
22 return have_thrown | |
23 | |
45 | 24 def test1(): |
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25 print "test1" |
45 | 26 global a,ds |
27 a = numpy.random.rand(10,4) | |
28 print a | |
29 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]}) | |
30 print "len(ds)=",len(ds) | |
54 | 31 assert(len(ds)==10) |
45 | 32 print "example 0 = ",ds[0] |
54 | 33 # assert |
45 | 34 print "x=",ds["x"] |
35 print "x|y" | |
36 for x,y in ds("x","y"): | |
37 print x,y | |
38 minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4) | |
39 minibatch = minibatch_iterator.__iter__().next() | |
40 print "minibatch=",minibatch | |
41 for var in minibatch: | |
42 print "var=",var | |
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43 print "take a slice and look at field y",ds[1:6:2]["y"] |
45 | 44 |
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45 del a,ds,x,y,minibatch_iterator,minibatch,var |
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46 |
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47 def test_iterate_over_examples(array,ds): |
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48 #not in doc!!! |
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49 i=0 |
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50 for example in range(len(ds)): |
293 | 51 wanted = array[example][:3] |
52 returned = ds[example]['x'] | |
53 if (wanted != returned).all(): | |
54 print 'returned:', returned | |
55 print 'wanted:', wanted | |
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56 assert (ds[example]['x']==array[example][:3]).all() |
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57 assert ds[example]['y']==array[example][3] |
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58 assert (ds[example]['z']==array[example][[0,2]]).all() |
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59 i+=1 |
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60 assert i==len(ds) |
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61 del example,i |
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62 |
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63 # - for example in dataset: |
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64 i=0 |
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65 for example in ds: |
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66 assert len(example)==3 |
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67 assert (example['x']==array[i][:3]).all() |
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68 assert example['y']==array[i][3] |
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69 assert (example['z']==array[i][0:3:2]).all() |
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70 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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71 i+=1 |
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72 assert i==len(ds) |
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73 del example,i |
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74 |
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75 # - for val1,val2,... in dataset: |
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76 i=0 |
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77 for x,y,z in ds: |
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78 assert (x==array[i][:3]).all() |
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79 assert y==array[i][3] |
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80 assert (z==array[i][0:3:2]).all() |
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81 assert (numpy.append(x,y)==array[i]).all() |
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82 i+=1 |
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83 assert i==len(ds) |
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84 del x,y,z,i |
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85 |
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86 # - for example in dataset(field1, field2,field3, ...): |
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87 i=0 |
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88 for example in ds('x','y','z'): |
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89 assert len(example)==3 |
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90 assert (example['x']==array[i][:3]).all() |
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91 assert example['y']==array[i][3] |
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92 assert (example['z']==array[i][0:3:2]).all() |
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93 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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94 i+=1 |
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95 assert i==len(ds) |
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96 del example,i |
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97 i=0 |
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98 for example in ds('y','x'): |
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99 assert len(example)==2 |
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100 assert (example['x']==array[i][:3]).all() |
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101 assert example['y']==array[i][3] |
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102 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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103 i+=1 |
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104 assert i==len(ds) |
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105 del example,i |
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106 |
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107 # - for val1,val2,val3 in dataset(field1, field2,field3): |
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108 i=0 |
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109 for x,y,z in ds('x','y','z'): |
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110 assert (x==array[i][:3]).all() |
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111 assert y==array[i][3] |
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112 assert (z==array[i][0:3:2]).all() |
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113 assert (numpy.append(x,y)==array[i]).all() |
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114 i+=1 |
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115 assert i==len(ds) |
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116 del x,y,z,i |
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117 i=0 |
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118 for y,x in ds('y','x',): |
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119 assert (x==array[i][:3]).all() |
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120 assert y==array[i][3] |
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121 assert (numpy.append(x,y)==array[i]).all() |
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122 i+=1 |
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123 assert i==len(ds) |
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124 del x,y,i |
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125 |
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126 def test_minibatch_size(minibatch,minibatch_size,len_ds,nb_field,nb_iter_finished): |
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127 ##full minibatch or the last minibatch |
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128 for idx in range(nb_field): |
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129 test_minibatch_field_size(minibatch[idx],minibatch_size,len_ds,nb_iter_finished) |
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130 del idx |
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131 def test_minibatch_field_size(minibatch_field,minibatch_size,len_ds,nb_iter_finished): |
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132 assert len(minibatch_field)==minibatch_size or ((nb_iter_finished*minibatch_size+len(minibatch_field))==len_ds and len(minibatch_field)<minibatch_size) |
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133 |
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134 # - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N): |
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135 i=0 |
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136 mi=0 |
341
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137 size=3 |
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138 m=ds.minibatches(['x','z'], minibatch_size=size) |
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139 assert hasattr(m,'__iter__') |
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140 for minibatch in m: |
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141 assert isinstance(minibatch,LookupList) |
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142 assert len(minibatch)==2 |
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143 test_minibatch_size(minibatch,size,len(ds),2,mi) |
161
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144 if type(ds)==ArrayDataSet: |
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145 assert (minibatch[0][:,::2]==minibatch[1]).all() |
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146 else: |
162
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147 for j in xrange(len(minibatch[0])): |
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148 (minibatch[0][j][::2]==minibatch[1][j]).all() |
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149 mi+=1 |
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150 i+=len(minibatch[0]) |
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151 assert i==(len(ds)/size)*size |
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152 assert mi==(len(ds)/size) |
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153 del minibatch,i,m,mi,size |
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154 |
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155 i=0 |
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156 mi=0 |
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157 size=3 |
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158 m=ds.minibatches(['x','y'], minibatch_size=size) |
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159 assert hasattr(m,'__iter__') |
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160 for minibatch in m: |
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161 assert isinstance(minibatch,LookupList) |
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162 assert len(minibatch)==2 |
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163 test_minibatch_size(minibatch,size,len(ds),2,mi) |
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164 mi+=1 |
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165 for id in range(len(minibatch[0])): |
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166 assert (numpy.append(minibatch[0][id],minibatch[1][id])==array[i]).all() |
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167 i+=1 |
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168 assert i==(len(ds)/size)*size |
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169 assert mi==(len(ds)/size) |
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170 del minibatch,i,id,m,mi,size |
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171 |
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172 # - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N): |
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173 i=0 |
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174 mi=0 |
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175 size=3 |
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176 m=ds.minibatches(['x','z'], minibatch_size=size) |
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177 assert hasattr(m,'__iter__') |
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178 for x,z in m: |
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179 test_minibatch_field_size(x,size,len(ds),mi) |
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180 test_minibatch_field_size(z,size,len(ds),mi) |
164
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181 for id in range(len(x)): |
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182 assert (x[id][::2]==z[id]).all() |
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183 i+=1 |
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184 mi+=1 |
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185 assert i==(len(ds)/size)*size |
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186 assert mi==(len(ds)/size) |
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187 del x,z,i,m,mi,size |
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188 |
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189 i=0 |
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190 mi=0 |
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191 size=3 |
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192 m=ds.minibatches(['x','y'], minibatch_size=3) |
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193 assert hasattr(m,'__iter__') |
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194 for x,y in m: |
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195 assert len(x)==size |
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196 assert len(y)==size |
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197 test_minibatch_field_size(x,size,len(ds),mi) |
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198 test_minibatch_field_size(y,size,len(ds),mi) |
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199 mi+=1 |
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200 for id in range(len(x)): |
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201 assert (numpy.append(x[id],y[id])==array[i]).all() |
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202 i+=1 |
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203 assert i==(len(ds)/size)*size |
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204 assert mi==(len(ds)/size) |
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205 del x,y,i,id,m,mi,size |
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206 |
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207 #not in doc |
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208 i=0 |
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209 size=3 |
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210 m=ds.minibatches(['x','y'],n_batches=1,minibatch_size=size,offset=4) |
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211 assert hasattr(m,'__iter__') |
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212 for x,y in m: |
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213 assert len(x)==size |
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214 assert len(y)==size |
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215 for id in range(size): |
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216 assert (numpy.append(x[id],y[id])==array[i+4]).all() |
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217 i+=1 |
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218 assert i==size |
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219 del x,y,i,id,m,size |
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220 |
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221 i=0 |
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222 size=3 |
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223 m=ds.minibatches(['x','y'],n_batches=2,minibatch_size=size,offset=4) |
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224 assert hasattr(m,'__iter__') |
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225 for x,y in m: |
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226 assert len(x)==size |
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227 assert len(y)==size |
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228 for id in range(size): |
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229 assert (numpy.append(x[id],y[id])==array[i+4]).all() |
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230 i+=1 |
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231 assert i==2*size |
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232 del x,y,i,id,m,size |
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233 |
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234 i=0 |
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235 size=3 |
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236 m=ds.minibatches(['x','y'],n_batches=20,minibatch_size=size,offset=4) |
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237 assert hasattr(m,'__iter__') |
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238 for x,y in m: |
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239 assert len(x)==size |
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240 assert len(y)==size |
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241 for id in range(size): |
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242 assert (numpy.append(x[id],y[id])==array[(i+4)%array.shape[0]]).all() |
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243 i+=1 |
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244 assert i==2*size # should not wrap |
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245 del x,y,i,id,size |
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246 |
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247 assert have_raised2(ds.minibatches,['x','y'],n_batches=1,minibatch_size=len(array)+1,offset=0) |
240
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248 assert not have_raised2(ds.minibatches,['x','y'],n_batches=1,minibatch_size=len(array),offset=0) |
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249 |
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250 def test_ds_iterator(array,iterator1,iterator2,iterator3): |
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251 l=len(iterator1) |
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252 i=0 |
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253 for x,y in iterator1: |
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254 assert (x==array[i][:3]).all() |
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255 assert y==array[i][3] |
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256 assert (numpy.append(x,y)==array[i]).all() |
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257 i+=1 |
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258 assert i==l |
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259 i=0 |
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260 for y,z in iterator2: |
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261 assert y==array[i][3] |
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262 assert (z==array[i][0:3:2]).all() |
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263 i+=1 |
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264 assert i==l |
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265 i=0 |
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266 for x,y,z in iterator3: |
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267 assert (x==array[i][:3]).all() |
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268 assert y==array[i][3] |
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269 assert (z==array[i][0:3:2]).all() |
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270 assert (numpy.append(x,y)==array[i]).all() |
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271 i+=1 |
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272 assert i==l |
311
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273 |
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274 def test_getitem(array,ds): |
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275 def test_ds(orig,ds,index): |
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276 i=0 |
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277 assert isinstance(ds,LookupList) |
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278 assert len(ds)==3 |
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279 assert len(ds[0])==len(index) |
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280 # for x,z,y in ds('x','z','y'): |
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281 for idx in index: |
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282 assert (orig[idx]['x']==array[idx][:3]).all() |
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283 assert (orig[idx]['x']==ds['x'][i]).all() |
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284 assert orig[idx]['y']==array[idx][3] |
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285 assert (orig[idx]['y']==ds['y'][i]).all() # why does it crash sometimes? |
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286 assert (orig[idx]['z']==array[idx][0:3:2]).all() |
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287 assert (orig[idx]['z']==ds['z'][i]).all() |
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288 i+=1 |
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289 del i |
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290 ds[0] |
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291 if len(ds)>2: |
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292 ds[:1] |
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293 ds[1:1] |
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294 ds[1:1:1] |
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295 if len(ds)>5: |
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296 ds[[1,2,3]] |
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297 for x in ds: |
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298 pass |
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299 |
342
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300 #ds[:n] returns a LookupList with the n first examples. |
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301 ds2=ds[:3] |
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302 test_ds(ds,ds2,index=[0,1,2]) |
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303 del ds2 |
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304 |
342
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305 #ds[i:j] returns a LookupList with examples i,i+1,...,j-1. |
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306 ds2=ds[1:3] |
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307 test_ds(ds,ds2,index=[1,2]) |
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308 del ds2 |
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309 |
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310 #ds[i1:i2:s] returns a LookupList with the examples i1,i1+s,...i2-s. |
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311 ds2=ds[1:7:2] |
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312 test_ds(ds,ds2,[1,3,5]) |
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313 del ds2 |
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314 |
342
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315 #ds[i] returns the (i+1)-th example of the dataset. |
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316 ds2=ds[5] |
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317 assert isinstance(ds2,Example) |
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318 assert have_raised("var['ds']["+str(len(ds))+"]",ds=ds) # index not defined |
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319 assert not have_raised("var['ds']["+str(len(ds)-1)+"]",ds=ds) |
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320 del ds2 |
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321 |
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322 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in. |
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323 ds2=ds[[4,7,2,8]] |
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324 # assert isinstance(ds2,DataSet) |
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325 test_ds(ds,ds2,[4,7,2,8]) |
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326 del ds2 |
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327 |
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328 #ds.<property># returns the value of a property associated with |
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329 #the name <property>. The following properties should be supported: |
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330 # - 'description': a textual description or name for the ds |
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331 # - 'fieldtypes': a list of types (one per field) |
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332 |
269
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333 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3])#???? |
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334 #assert hstack([ds('x','y'),ds('z')])==ds |
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335 #hstack([ds('z','y'),ds('x')])==ds |
173 | 336 assert have_raised2(hstack,[ds('x'),ds('x')]) |
337 assert have_raised2(hstack,[ds('y','x'),ds('x')]) | |
338 assert not have_raised2(hstack,[ds('x'),ds('y')]) | |
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339 |
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340 # i=0 |
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341 # for example in hstack([ds('x'),ds('y'),ds('z')]): |
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342 # example==ds[i] |
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343 # i+=1 |
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344 # del i,example |
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345 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3])#???? |
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346 |
343
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347 def test_subset(array,ds): |
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348 def test_ds(orig,ds,index): |
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349 i=0 |
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350 assert isinstance(ds2,DataSet) |
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351 assert len(ds)==len(index) |
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352 for x,z,y in ds('x','z','y'): |
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353 assert (orig[index[i]]['x']==array[index[i]][:3]).all() |
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354 assert (orig[index[i]]['x']==x).all() |
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355 assert orig[index[i]]['y']==array[index[i]][3] |
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356 assert orig[index[i]]['y']==y |
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357 assert (orig[index[i]]['z']==array[index[i]][0:3:2]).all() |
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358 assert (orig[index[i]]['z']==z).all() |
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359 i+=1 |
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360 del i |
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361 ds[0] |
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362 if len(ds)>2: |
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363 ds[:1] |
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364 ds[1:1] |
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365 ds[1:1:1] |
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366 if len(ds)>5: |
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367 ds[[1,2,3]] |
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368 for x in ds: |
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369 pass |
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370 |
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371 #ds[:n] returns a dataset with the n first examples. |
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372 ds2=ds.subset[:3] |
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373 test_ds(ds,ds2,index=[0,1,2]) |
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374 # del ds2 |
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375 |
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376 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s. |
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377 ds2=ds.subset[1:7:2] |
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378 test_ds(ds,ds2,[1,3,5]) |
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379 # del ds2 |
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380 |
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381 # #ds[i] |
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382 # ds2=ds.subset[5] |
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383 # assert isinstance(ds2,Example) |
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384 # assert have_raised("var['ds']["+str(len(ds))+"]",ds=ds) # index not defined |
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385 # assert not have_raised("var['ds']["+str(len(ds)-1)+"]",ds=ds) |
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386 # del ds2 |
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387 |
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388 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in. |
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389 ds2=ds.subset[[4,7,2,8]] |
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390 test_ds(ds,ds2,[4,7,2,8]) |
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391 # del ds2 |
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392 |
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393 #ds.<property># returns the value of a property associated with |
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394 #the name <property>. The following properties should be supported: |
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395 # - 'description': a textual description or name for the ds |
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396 # - 'fieldtypes': a list of types (one per field) |
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397 |
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398 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3])#???? |
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399 #assert hstack([ds('x','y'),ds('z')])==ds |
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400 #hstack([ds('z','y'),ds('x')])==ds |
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401 assert have_raised2(hstack,[ds('x'),ds('x')]) |
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402 assert have_raised2(hstack,[ds('y','x'),ds('x')]) |
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403 assert not have_raised2(hstack,[ds('x'),ds('y')]) |
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404 |
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405 # i=0 |
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406 # for example in hstack([ds('x'),ds('y'),ds('z')]): |
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407 # example==ds[i] |
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408 # i+=1 |
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409 # del i,example |
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410 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3])#???? |
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411 |
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412 def test_fields_fct(ds): |
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413 #@todo, fill correctly |
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414 assert len(ds.fields())==3 |
168 | 415 i=0 |
416 v=0 | |
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417 for field in ds.fields(): |
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418 for field_value in field: # iterate over the values associated to that field for all the ds examples |
168 | 419 v+=1 |
420 i+=1 | |
421 assert i==3 | |
422 assert v==3*10 | |
423 del i,v | |
424 | |
425 i=0 | |
426 v=0 | |
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427 for field in ds('x','z').fields(): |
168 | 428 i+=1 |
429 for val in field: | |
430 v+=1 | |
431 assert i==2 | |
432 assert v==2*10 | |
433 del i,v | |
434 | |
435 i=0 | |
436 v=0 | |
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437 for field in ds.fields('x','y'): |
168 | 438 i+=1 |
439 for val in field: | |
440 v+=1 | |
441 assert i==2 | |
442 assert v==2*10 | |
443 del i,v | |
444 | |
445 i=0 | |
446 v=0 | |
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447 for field_examples in ds.fields(): |
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448 for example_value in field_examples: |
168 | 449 v+=1 |
450 i+=1 | |
451 assert i==3 | |
452 assert v==3*10 | |
453 del i,v | |
454 | |
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455 assert ds == ds.fields().examples() |
168 | 456 assert len(ds('x','y').fields()) == 2 |
457 assert len(ds('x','z').fields()) == 2 | |
458 assert len(ds('y').fields()) == 1 | |
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459 |
168 | 460 del field |
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461 |
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462 def test_overrides(ds) : |
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463 """ Test for examples that an override __getitem__ acts as the one in DataSet """ |
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464 def ndarray_list_equal(nda,l) : |
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465 """ |
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466 Compares if a ndarray is the same as the list. Do it by converting the list into |
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467 an numpy.ndarray, if possible |
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468 """ |
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469 try : |
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470 l = numpy.asmatrix(l) |
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471 except : |
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472 return False |
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473 return smart_equal(nda,l) |
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474 |
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475 def smart_equal(a1,a2) : |
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476 """ |
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477 Handles numpy.ndarray, LookupList, and basic containers |
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478 """ |
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479 if not isinstance(a1,type(a2)) and not isinstance(a2,type(a1)): |
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480 #special case: matrix vs list of arrays |
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481 if isinstance(a1,numpy.ndarray) : |
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482 return ndarray_list_equal(a1,a2) |
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483 elif isinstance(a2,numpy.ndarray) : |
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484 return ndarray_list_equal(a2,a1) |
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485 return False |
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486 # compares 2 numpy.ndarray |
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487 if isinstance(a1,numpy.ndarray): |
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488 if len(a1.shape) != len(a2.shape): |
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489 return False |
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490 for k in range(len(a1.shape)) : |
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491 if a1.shape[k] != a2.shape[k]: |
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492 return False |
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493 return (a1==a2).all() |
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494 # compares 2 lookuplists |
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495 if isinstance(a1,LookupList) : |
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496 if len(a1._names) != len(a2._names) : |
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497 return False |
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498 for k in a1._names : |
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499 if k not in a2._names : |
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500 return False |
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501 if not smart_equal(a1[k],a2[k]) : |
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502 return False |
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503 return True |
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504 # compares 2 basic containers |
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505 if hasattr(a1,'__len__'): |
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506 if len(a1) != len(a2) : |
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507 return False |
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508 for k in range(len(a1)) : |
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509 if not smart_equal(a1[k],a2[k]): |
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510 return False |
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511 return True |
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512 # try basic equals |
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513 return a1 is a2 |
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514 |
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515 def mask(ds) : |
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516 class TestOverride(type(ds)): |
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517 def __init__(self,ds) : |
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518 self.ds = ds |
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519 def __getitem__(self,key) : |
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520 res1 = self.ds[key] |
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521 res2 = DataSet.__getitem__(ds,key) |
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522 assert smart_equal(res1,res2) |
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523 return res1 |
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524 return TestOverride(ds) |
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525 # test getitem |
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526 ds2 = mask(ds) |
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527 for k in range(10): |
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528 res = ds2[k] |
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529 res = ds2[1:len(ds):3] |
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530 |
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531 |
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532 |
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533 |
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diff
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534 |
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535 |
194
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diff
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536 def test_all(array,ds): |
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diff
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|
537 assert len(ds)==10 |
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173
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|
538 test_iterate_over_examples(array, ds) |
315
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|
539 test_overrides(ds) |
194
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small refactoring
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parents:
173
diff
changeset
|
540 test_getitem(array, ds) |
343
394b4e849c1b
added test for ds.subset
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parents:
342
diff
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|
541 test_subset(array, ds) |
194
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small refactoring
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parents:
173
diff
changeset
|
542 test_ds_iterator(array,ds('x','y'),ds('y','z'),ds('x','y','z')) |
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parents:
173
diff
changeset
|
543 test_fields_fct(ds) |
145
933db7ece663
make some function global to reuse them to test other dataset
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parents:
139
diff
changeset
|
544 |
315
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|
545 |
279
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diff
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|
546 class T_DataSet(unittest.TestCase): |
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diff
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|
547 def test_ArrayDataSet(self): |
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diff
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|
548 #don't test stream |
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diff
changeset
|
549 #tested only with float value |
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diff
changeset
|
550 #don't always test with y |
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diff
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|
551 #don't test missing value |
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parents:
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diff
changeset
|
552 #don't test with tuple |
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parents:
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diff
changeset
|
553 #don't test proterties |
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parents:
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diff
changeset
|
554 a2 = numpy.random.rand(10,4) |
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diff
changeset
|
555 ds = ArrayDataSet(a2,{'x':slice(3),'y':3,'z':[0,2]})###???tuple not tested |
292 | 556 ds = ArrayDataSet(a2,Example(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
279
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parents:
278
diff
changeset
|
557 #assert ds==a? should this work? |
100
574f4db76022
restructuring and added test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
96
diff
changeset
|
558 |
279
2e22cc120688
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parents:
278
diff
changeset
|
559 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
|
560 |
279
2e22cc120688
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diff
changeset
|
561 del a2, ds |
81
4b0859606d05
Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
66
diff
changeset
|
562 |
279
2e22cc120688
passed test_dataset.py to unittest
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parents:
278
diff
changeset
|
563 def test_CachedDataSet(self): |
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278
diff
changeset
|
564 a = numpy.random.rand(10,4) |
292 | 565 ds1 = ArrayDataSet(a,Example(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
279
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parents:
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diff
changeset
|
566 ds2 = CachedDataSet(ds1) |
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parents:
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diff
changeset
|
567 ds3 = CachedDataSet(ds1,cache_all_upon_construction=True) |
148
a5329e719229
added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
145
diff
changeset
|
568 |
279
2e22cc120688
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Frederic Bastien <bastienf@iro.umontreal.ca>
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diff
changeset
|
569 test_all(a,ds2) |
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passed test_dataset.py to unittest
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parents:
278
diff
changeset
|
570 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
|
571 |
279
2e22cc120688
passed test_dataset.py to unittest
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parents:
278
diff
changeset
|
572 del a,ds1,ds2,ds3 |
148
a5329e719229
added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
145
diff
changeset
|
573 |
a5329e719229
added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
145
diff
changeset
|
574 |
279
2e22cc120688
passed test_dataset.py to unittest
Frederic Bastien <bastienf@iro.umontreal.ca>
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diff
changeset
|
575 def test_DataSetFields(self): |
2e22cc120688
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parents:
278
diff
changeset
|
576 raise NotImplementedError() |
161
60e00cce3492
bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
158
diff
changeset
|
577 |
279
2e22cc120688
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parents:
278
diff
changeset
|
578 def test_ApplyFunctionDataSet(self): |
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parents:
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diff
changeset
|
579 a = numpy.random.rand(10,4) |
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parents:
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diff
changeset
|
580 a2 = a+1 |
292 | 581 ds1 = ArrayDataSet(a,Example(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
202
b9950ae5e54b
Added test for ApplyFunctionDataset
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parents:
195
diff
changeset
|
582 |
279
2e22cc120688
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parents:
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diff
changeset
|
583 ds2 = ApplyFunctionDataSet(ds1,lambda x,y,z: (x+1,y+1,z+1), ['x','y','z'],minibatch_mode=False) |
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parents:
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diff
changeset
|
584 ds3 = ApplyFunctionDataSet(ds1,lambda x,y,z: (numpy.array(x)+1,numpy.array(y)+1,numpy.array(z)+1), |
2e22cc120688
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parents:
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diff
changeset
|
585 ['x','y','z'], |
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parents:
278
diff
changeset
|
586 minibatch_mode=True) |
202
b9950ae5e54b
Added test for ApplyFunctionDataset
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parents:
195
diff
changeset
|
587 |
279
2e22cc120688
passed test_dataset.py to unittest
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parents:
278
diff
changeset
|
588 test_all(a2,ds2) |
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parents:
278
diff
changeset
|
589 test_all(a2,ds3) |
2e22cc120688
passed test_dataset.py to unittest
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parents:
278
diff
changeset
|
590 |
2e22cc120688
passed test_dataset.py to unittest
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parents:
278
diff
changeset
|
591 del a,ds1,ds2,ds3 |
202
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
592 |
279
2e22cc120688
passed test_dataset.py to unittest
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parents:
278
diff
changeset
|
593 def test_FieldsSubsetDataSet(self): |
289
3af204aa71e5
implemented test for FieldsSubsetDataSet. if executed, can take a --debug option to be used in a debugger
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
284
diff
changeset
|
594 a = numpy.random.rand(10,4) |
297 | 595 ds = ArrayDataSet(a,Example(['x','y','z','w'],[slice(3),3,[0,2],0])) |
289
3af204aa71e5
implemented test for FieldsSubsetDataSet. if executed, can take a --debug option to be used in a debugger
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
284
diff
changeset
|
596 ds = FieldsSubsetDataSet(ds,['x','y','z']) |
3af204aa71e5
implemented test for FieldsSubsetDataSet. if executed, can take a --debug option to be used in a debugger
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parents:
284
diff
changeset
|
597 |
3af204aa71e5
implemented test for FieldsSubsetDataSet. if executed, can take a --debug option to be used in a debugger
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parents:
284
diff
changeset
|
598 test_all(a,ds) |
3af204aa71e5
implemented test for FieldsSubsetDataSet. if executed, can take a --debug option to be used in a debugger
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parents:
284
diff
changeset
|
599 |
3af204aa71e5
implemented test for FieldsSubsetDataSet. if executed, can take a --debug option to be used in a debugger
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
284
diff
changeset
|
600 del a, ds |
295
7380376816e5
started a test for datasets where one field has a variable length. Not obvious, all tests requires a matrix as a reference
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents:
294
diff
changeset
|
601 |
345
4efb503fd0da
Added test for dataset/RenamedFieldsDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
315
diff
changeset
|
602 def test_RenamedFieldsDataSet(self): |
4efb503fd0da
Added test for dataset/RenamedFieldsDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
315
diff
changeset
|
603 a = numpy.random.rand(10,4) |
348
952129cd55cb
corrected test_RenamedFieldsDataSet. It still fail, but this should be du to bug in RenamedFieldsDataSet.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
347
diff
changeset
|
604 ds = ArrayDataSet(a,Example(['x1','y1','z1','w1'],[slice(3),3,[0,2],0])) |
952129cd55cb
corrected test_RenamedFieldsDataSet. It still fail, but this should be du to bug in RenamedFieldsDataSet.
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
347
diff
changeset
|
605 ds = RenamedFieldsDataSet(ds,['x1','y1','z1'],['x','y','z']) |
345
4efb503fd0da
Added test for dataset/RenamedFieldsDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
315
diff
changeset
|
606 |
4efb503fd0da
Added test for dataset/RenamedFieldsDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
315
diff
changeset
|
607 test_all(a,ds) |
4efb503fd0da
Added test for dataset/RenamedFieldsDataSet
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parents:
315
diff
changeset
|
608 |
4efb503fd0da
Added test for dataset/RenamedFieldsDataSet
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parents:
315
diff
changeset
|
609 del a, ds |
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Added test for dataset/RenamedFieldsDataSet
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
315
diff
changeset
|
610 |
298
5987415496df
better testing of the MultiLengthDataSet, now called exotic1
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents:
297
diff
changeset
|
611 def test_MinibatchDataSet(self): |
5987415496df
better testing of the MultiLengthDataSet, now called exotic1
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents:
297
diff
changeset
|
612 raise NotImplementedError() |
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better testing of the MultiLengthDataSet, now called exotic1
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parents:
297
diff
changeset
|
613 def test_HStackedDataSet(self): |
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better testing of the MultiLengthDataSet, now called exotic1
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parents:
297
diff
changeset
|
614 raise NotImplementedError() |
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better testing of the MultiLengthDataSet, now called exotic1
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents:
297
diff
changeset
|
615 def test_VStackedDataSet(self): |
5987415496df
better testing of the MultiLengthDataSet, now called exotic1
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parents:
297
diff
changeset
|
616 raise NotImplementedError() |
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better testing of the MultiLengthDataSet, now called exotic1
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parents:
297
diff
changeset
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617 def test_ArrayFieldsDataSet(self): |
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618 raise NotImplementedError() |
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619 |
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620 |
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621 class T_Exotic1(unittest.TestCase): |
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622 class DataSet(DataSet): |
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623 """ Dummy dataset, where one field is a ndarray of variables size. """ |
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624 def __len__(self) : |
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625 return 100 |
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626 def fieldNames(self) : |
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627 return 'input','target','name' |
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628 def minibatches_nowrap(self,fieldnames,minibatch_size,n_batches,offset): |
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629 class MultiLengthDataSetIterator(object): |
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630 def __init__(self,dataset,fieldnames,minibatch_size,n_batches,offset): |
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631 if fieldnames is None: fieldnames = dataset.fieldNames() |
297 | 632 self.minibatch = Example(fieldnames,range(len(fieldnames))) |
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633 self.dataset, self.minibatch_size, self.current = dataset, minibatch_size, offset |
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634 def __iter__(self): |
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635 return self |
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636 def next(self): |
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637 for k in self.minibatch._names : |
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638 self.minibatch[k] = [] |
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639 for ex in range(self.minibatch_size) : |
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640 if 'input' in self.minibatch._names: |
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641 self.minibatch['input'].append( numpy.array( range(self.current + 1) ) ) |
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642 if 'target' in self.minibatch._names: |
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643 self.minibatch['target'].append( self.current % 2 ) |
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644 if 'name' in self.minibatch._names: |
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645 self.minibatch['name'].append( str(self.current) ) |
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646 self.current += 1 |
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647 return self.minibatch |
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648 return MultiLengthDataSetIterator(self,fieldnames,minibatch_size,n_batches,offset) |
298
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649 |
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650 def test_ApplyFunctionDataSet(self): |
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651 ds = T_Exotic1.DataSet() |
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652 dsa = ApplyFunctionDataSet(ds,lambda x,y,z: (x[-1],y*10,int(z)),['input','target','name'],minibatch_mode=False) #broken!!!!!! |
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653 for k in range(len(dsa)): |
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654 res = dsa[k] |
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655 self.failUnless(ds[k]('input')[0][-1] == res('input')[0] , 'problem in first applied function') |
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656 res = dsa[33:96:3] |
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657 |
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658 def test_CachedDataSet(self): |
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659 ds = T_Exotic1.DataSet() |
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660 dsc = CachedDataSet(ds) |
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661 for k in range(len(dsc)) : |
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662 self.failUnless(numpy.all( dsc[k]('input')[0] == ds[k]('input')[0] ) , (dsc[k],ds[k]) ) |
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663 res = dsc[:] |
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664 |
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665 if __name__=='__main__': |
352 | 666 tests = [] |
350
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667 debug=False |
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668 if len(sys.argv)==1: |
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669 unittest.main() |
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670 else: |
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671 assert sys.argv[1]=="--debug" |
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672 for arg in sys.argv[2:]: |
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673 tests.append(arg) |
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674 if tests: |
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675 unittest.TestSuite(map(T_DataSet, tests)).debug() |
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676 else: |
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677 module = __import__("_test_dataset") |
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678 tests = unittest.TestLoader().loadTestsFromModule(module) |
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679 tests.debug() |