Mercurial > pylearn
annotate test_dataset.py @ 99:a8da709eb6a9
in ArrayDataSet.__init__ if a columns is an index, we change it to be a list that containt only this index. This way, we remove the special case where the columns is an index for all subsequent call.
This was possing trouble with numpy.vstack() called by MinibatchWrapAroundIterator.next
author | Frederic Bastien <bastienf@iro.umontreal.ca> |
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date | Tue, 06 May 2008 13:57:36 -0400 |
parents | 352910e0dbf5 |
children | 574f4db76022 |
rev | line source |
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51
59757365a057
the script can be autorun
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1 #!/bin/env python |
45 | 2 from dataset import * |
3 from math import * | |
4 import numpy | |
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 |
45 | 14 def test1(): |
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15 print "test1" |
45 | 16 global a,ds |
17 a = numpy.random.rand(10,4) | |
18 print a | |
19 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]}) | |
20 print "len(ds)=",len(ds) | |
54 | 21 assert(len(ds)==10) |
45 | 22 print "example 0 = ",ds[0] |
54 | 23 # assert |
45 | 24 print "x=",ds["x"] |
25 print "x|y" | |
26 for x,y in ds("x","y"): | |
27 print x,y | |
28 minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4) | |
29 minibatch = minibatch_iterator.__iter__().next() | |
30 print "minibatch=",minibatch | |
31 for var in minibatch: | |
32 print "var=",var | |
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33 print "take a slice and look at field y",ds[1:6:2]["y"] |
45 | 34 |
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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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40 |
96
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41 def test_iterate_over_examples(array,ds): |
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42 #not in doc!!! |
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43 i=0 |
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44 for example in range(len(ds)): |
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45 assert (ds[example]['x']==a[example][:3]).all() |
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46 assert ds[example]['y']==a[example][3] |
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47 assert (ds[example]['z']==a[example][[0,2]]).all() |
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48 i+=1 |
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49 assert i==len(ds) |
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50 del example,i |
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51 |
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52 # - for example in dataset: |
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53 i=0 |
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54 for example in ds: |
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55 assert len(example)==3 |
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56 assert (example['x']==array[i][:3]).all() |
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57 assert example['y']==array[i][3] |
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58 assert (example['z']==array[i][0:3:2]).all() |
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59 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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60 i+=1 |
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61 assert i==len(ds) |
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62 del example,i |
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63 |
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64 # - for val1,val2,... in dataset: |
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65 i=0 |
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66 for x,y,z in ds: |
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67 assert (x==array[i][:3]).all() |
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68 assert y==array[i][3] |
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69 assert (z==array[i][0:3:2]).all() |
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70 assert (numpy.append(x,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 x,y,z,i |
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74 |
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75 # - for example in dataset(field1, field2,field3, ...): |
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76 i=0 |
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77 for example in ds('x','y','z'): |
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78 assert len(example)==3 |
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79 assert (example['x']==array[i][:3]).all() |
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80 assert example['y']==array[i][3] |
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81 assert (example['z']==array[i][0:3:2]).all() |
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82 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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83 i+=1 |
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84 assert i==len(ds) |
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85 del example,i |
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86 i=0 |
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87 for example in ds('y','x'): |
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88 assert len(example)==2 |
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89 assert (example['x']==array[i][:3]).all() |
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90 assert example['y']==array[i][3] |
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91 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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92 i+=1 |
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93 assert i==len(ds) |
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94 del example,i |
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95 |
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96 # - for val1,val2,val3 in dataset(field1, field2,field3): |
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97 i=0 |
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98 for x,y,z in ds('x','y','z'): |
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99 assert (x==array[i][:3]).all() |
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100 assert y==array[i][3] |
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101 assert (z==array[i][0:3:2]).all() |
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102 assert (numpy.append(x,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 x,y,z,i |
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106 i=0 |
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107 for y,x in ds('y','x',): |
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108 assert (x==array[i][:3]).all() |
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109 assert y==array[i][3] |
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110 assert (numpy.append(x,y)==array[i]).all() |
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111 i+=1 |
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112 assert i==len(ds) |
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113 del x,y,i |
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114 |
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115 |
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116 # - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N): |
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117 i=0 |
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118 for minibatch in ds.minibatches(['x','z'], minibatch_size=3): |
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119 assert len(minibatch)==2 |
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120 assert len(minibatch[0])==3 |
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121 assert len(minibatch[1])==3 |
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122 assert (minibatch[0][:,0:3:2]==minibatch[1]).all() |
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123 i+=1 |
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124 #assert i==#??? What shoud be the value? |
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125 print i |
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126 del minibatch,i |
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127 i=0 |
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128 for minibatch in ds.minibatches(['x','y'], minibatch_size=3): |
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129 assert len(minibatch)==2 |
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130 assert len(minibatch[0])==3 |
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131 assert len(minibatch[1])==3 |
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132 for id in range(3): |
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133 assert (numpy.append(minibatch[0][id],minibatch[1][id])==a[i]).all() |
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134 i+=1 |
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135 #assert i==#??? What shoud be the value? |
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136 print i |
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137 del minibatch,i,id |
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138 |
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139 # - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N): |
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140 i=0 |
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141 for x,z in ds.minibatches(['x','z'], minibatch_size=3): |
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142 assert len(x)==3 |
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143 assert len(z)==3 |
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144 assert (x[:,0:3:2]==z).all() |
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145 i+=1 |
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146 #assert i==#??? What shoud be the value? |
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147 print i |
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148 del x,z,i |
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149 i=0 |
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150 for x,y in ds.minibatches(['x','y'], minibatch_size=3): |
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151 assert len(x)==3 |
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152 assert len(y)==3 |
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153 for id in range(3): |
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154 assert (numpy.append(x[id],y[id])==a[i]).all() |
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155 i+=1 |
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156 #assert i==#??? What shoud be the value? |
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157 print i |
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158 del x,y,i,id |
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159 |
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160 #not in doc |
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161 i=0 |
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162 for x,y in ds.minibatches(['x','y'],n_batches=1,minibatch_size=3,offset=4): |
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163 assert len(x)==3 |
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164 assert len(y)==3 |
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165 for id in range(3): |
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166 assert (numpy.append(x[id],y[id])==a[i+4]).all() |
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167 i+=1 |
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168 assert i==3 |
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169 del x,y,i,id |
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170 |
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171 i=0 |
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172 for x,y in ds.minibatches(['x','y'],n_batches=2,minibatch_size=3,offset=4): |
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173 assert len(x)==3 |
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174 assert len(y)==3 |
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175 for id in range(3): |
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176 assert (numpy.append(x[id],y[id])==a[i+4]).all() |
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177 i+=1 |
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178 assert i==6 |
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179 del x,y,i,id |
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180 |
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181 i=0 |
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182 for x,y in ds.minibatches(['x','y'],n_batches=10,minibatch_size=3,offset=4): |
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183 assert len(x)==3 |
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184 assert len(y)==3 |
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185 for id in range(3): |
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186 assert (numpy.append(x[id],y[id])==a[i+4]).all() |
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187 i+=1 |
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188 assert i==6 |
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189 del x,y,i,id |
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190 |
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191 |
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192 def test_ds_iterator(array,iterator1,iterator2,iterator3): |
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193 i=0 |
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194 for x,y in iterator1: |
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195 assert (x==array[i][:3]).all() |
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196 assert y==array[i][3] |
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197 assert (numpy.append(x,y)==array[i]).all() |
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198 i+=1 |
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199 assert i==len(ds) |
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200 i=0 |
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201 for y,z in iterator2: |
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202 assert y==array[i][3] |
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203 assert (z==array[i][0:3:2]).all() |
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204 i+=1 |
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205 assert i==len(ds) |
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206 i=0 |
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207 for x,y,z in iterator3: |
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208 assert (x==array[i][:3]).all() |
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209 assert y==array[i][3] |
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210 assert (z==array[i][0:3:2]).all() |
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211 assert (numpy.append(x,y)==array[i]).all() |
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212 i+=1 |
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213 assert i==len(ds) |
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214 |
84
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215 print "test_ArrayDataSet" |
58
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216 a = numpy.random.rand(10,4) |
86
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217 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]})###???tuple not tested |
91
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218 ds = ArrayDataSet(a,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
58
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219 assert len(ds)==10 |
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220 #assert ds==a? should this work? |
96
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221 |
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222 test_iterate_over_examples(a, ds) |
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223 |
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224 |
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225 # - for val1,val2,val3 in dataset(field1, field2,field3): |
96
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226 test_ds_iterator(a,ds('x','y'),ds('y','z'),ds('x','y','z')) |
89
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227 |
84
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228 assert have_raised("ds['h']") # h is not defined... |
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229 assert have_raised("ds[['h']]") # h is not defined... |
81
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230 |
63 | 231 assert len(ds.fields())==3 |
58
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232 for field in ds.fields(): |
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233 for field_value in field: # iterate over the values associated to that field for all the ds examples |
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234 pass |
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235 for field in ds('x','z').fields(): |
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236 pass |
60 | 237 for field in ds.fields('x','y'): |
58
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238 pass |
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239 for field_examples in ds.fields(): |
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240 for example_value in field_examples: |
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241 pass |
63 | 242 |
243 assert ds == ds.fields().examples() | |
244 | |
86
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245 def test_ds(orig,ds,index): |
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246 i=0 |
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247 assert len(ds)==len(index) |
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248 for x,z,y in ds('x','z','y'): |
94
9c8f3c9c247b
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249 assert (orig[index[i]]['x']==a[index[i]][:3]).all() |
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diff
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250 assert (orig[index[i]]['x']==x).all() |
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251 assert orig[index[i]]['y']==a[index[i]][3] |
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252 assert orig[index[i]]['y']==y |
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253 assert (orig[index[i]]['z']==a[index[i]][0:3:2]).all() |
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254 assert (orig[index[i]]['z']==z).all() |
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255 i+=1 |
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256 del i |
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257 ds[0] |
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258 if len(ds)>2: |
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259 ds[:1] |
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260 ds[1:1] |
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261 ds[1:1:1] |
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262 if len(ds)>5: |
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263 ds[[1,2,3]] |
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264 for x in ds: |
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265 pass |
63 | 266 |
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267 #ds[:n] returns a dataset with the n first examples. |
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268 ds2=ds[:3] |
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269 test_ds(ds,ds2,index=[0,1,2]) |
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270 |
63 | 271 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s. |
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272 ds2=ds[1:7:2] |
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273 test_ds(ds,ds2,[1,3,5]) |
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274 |
63 | 275 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in. |
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276 ds2=ds[[4,7,2,8]] |
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277 test_ds(ds,ds2,[4,7,2,8]) |
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278 #ds[i1,i2,...]# should we accept???? |
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279 |
63 | 280 #ds[fieldname]# an iterable over the values of the field fieldname across |
281 #the ds (the iterable is obtained by default by calling valuesVStack | |
282 #over the values for individual examples). | |
283 | |
284 #ds.<property># returns the value of a property associated with | |
285 #the name <property>. The following properties should be supported: | |
286 # - 'description': a textual description or name for the ds | |
287 # - 'fieldtypes': a list of types (one per field) | |
288 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3]) | |
289 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3]) | |
290 | |
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291 # for (x,y) in (ds('x','y'),a): #???don't work # haven't found a variant that work. |
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292 # assert numpy.append(x,y)==z |
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293 |
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294 def test_LookupList(): |
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295 #test only the example in the doc??? |
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296 print "test_LookupList" |
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297 example = LookupList(['x','y','z'],[1,2,3]) |
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298 example['x'] = [1, 2, 3] # set or change a field |
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299 x, y, z = example |
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300 x = example[0] |
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301 x = example["x"] |
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302 assert example.keys()==['x','y','z'] |
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303 assert example.values()==[[1,2,3],2,3] |
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304 assert example.items()==[('x',[1,2,3]),('y',2),('z',3)] |
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305 example.append_keyval('u',0) # adds item with name 'u' and value 0 |
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306 assert len(example)==4 # number of items = 4 here |
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307 example2 = LookupList(['v','w'], ['a','b']) |
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308 example3 = LookupList(['x','y','z','u','v','w'], [[1, 2, 3],2,3,0,'a','b']) |
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309 assert example+example2==example3 |
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310 assert have_raised("example+example") |
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311 |
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312 def test_ApplyFunctionDataSet(): |
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313 print "test_ApplyFunctionDataSet" |
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314 raise NotImplementedError() |
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315 def test_CacheDataSet(): |
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316 print "test_CacheDataSet" |
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317 raise NotImplementedError() |
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318 def test_FieldsSubsetDataSet(): |
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319 print "test_FieldsSubsetDataSet" |
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320 raise NotImplementedError() |
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321 def test_DataSetFields(): |
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322 print "test_DataSetFields" |
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323 raise NotImplementedError() |
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324 def test_MinibatchDataSet(): |
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325 print "test_MinibatchDataSet" |
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326 raise NotImplementedError() |
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327 def test_HStackedDataSet(): |
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328 print "test_HStackedDataSet" |
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329 raise NotImplementedError() |
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330 def test_VStackedDataSet(): |
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331 print "test_VStackedDataSet" |
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332 raise NotImplementedError() |
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333 def test_ArrayFieldsDataSet(): |
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334 print "test_ArrayFieldsDataSet" |
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335 raise NotImplementedError() |
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336 |
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337 test1() |
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338 test_LookupList() |
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339 test_ArrayDataSet() |
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340 |