Mercurial > pylearn
annotate test_dataset.py @ 218:df3fae88ab46
small debugging
author | Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca> |
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date | Fri, 23 May 2008 12:22:54 -0400 |
parents | 3c96d23b36ac |
children | 38beb81f4e8b |
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 * | |
4 import numpy | |
5 | |
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6 def have_raised(to_eval, **var): |
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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 |
173 | 14 def have_raised2(f, *args, **kwargs): |
15 have_thrown = False | |
16 try: | |
17 f(*args, **kwargs) | |
18 except : | |
19 have_thrown = True | |
20 return have_thrown | |
21 | |
45 | 22 def test1(): |
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23 print "test1" |
45 | 24 global a,ds |
25 a = numpy.random.rand(10,4) | |
26 print a | |
27 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]}) | |
28 print "len(ds)=",len(ds) | |
54 | 29 assert(len(ds)==10) |
45 | 30 print "example 0 = ",ds[0] |
54 | 31 # assert |
45 | 32 print "x=",ds["x"] |
33 print "x|y" | |
34 for x,y in ds("x","y"): | |
35 print x,y | |
36 minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4) | |
37 minibatch = minibatch_iterator.__iter__().next() | |
38 print "minibatch=",minibatch | |
39 for var in minibatch: | |
40 print "var=",var | |
48
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41 print "take a slice and look at field y",ds[1:6:2]["y"] |
45 | 42 |
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43 del a,ds,x,y,minibatch_iterator,minibatch,var |
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44 |
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45 def test_iterate_over_examples(array,ds): |
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46 #not in doc!!! |
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47 i=0 |
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48 for example in range(len(ds)): |
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49 assert (ds[example]['x']==array[example][:3]).all() |
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50 assert ds[example]['y']==array[example][3] |
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51 assert (ds[example]['z']==array[example][[0,2]]).all() |
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52 i+=1 |
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53 assert i==len(ds) |
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54 del example,i |
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55 |
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56 # - for example in dataset: |
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57 i=0 |
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58 for example in ds: |
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59 assert len(example)==3 |
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60 assert (example['x']==array[i][:3]).all() |
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61 assert example['y']==array[i][3] |
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62 assert (example['z']==array[i][0:3:2]).all() |
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63 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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64 i+=1 |
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65 assert i==len(ds) |
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66 del example,i |
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67 |
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68 # - for val1,val2,... in dataset: |
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69 i=0 |
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70 for x,y,z in ds: |
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71 assert (x==array[i][:3]).all() |
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72 assert y==array[i][3] |
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73 assert (z==array[i][0:3:2]).all() |
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74 assert (numpy.append(x,y)==array[i]).all() |
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75 i+=1 |
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76 assert i==len(ds) |
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77 del x,y,z,i |
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78 |
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79 # - for example in dataset(field1, field2,field3, ...): |
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80 i=0 |
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81 for example in ds('x','y','z'): |
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82 assert len(example)==3 |
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83 assert (example['x']==array[i][:3]).all() |
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84 assert example['y']==array[i][3] |
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85 assert (example['z']==array[i][0:3:2]).all() |
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86 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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87 i+=1 |
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88 assert i==len(ds) |
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89 del example,i |
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90 i=0 |
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91 for example in ds('y','x'): |
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92 assert len(example)==2 |
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93 assert (example['x']==array[i][:3]).all() |
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94 assert example['y']==array[i][3] |
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95 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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96 i+=1 |
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97 assert i==len(ds) |
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98 del example,i |
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99 |
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100 # - for val1,val2,val3 in dataset(field1, field2,field3): |
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101 i=0 |
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102 for x,y,z in ds('x','y','z'): |
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103 assert (x==array[i][:3]).all() |
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104 assert y==array[i][3] |
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105 assert (z==array[i][0:3:2]).all() |
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106 assert (numpy.append(x,y)==array[i]).all() |
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107 i+=1 |
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108 assert i==len(ds) |
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109 del x,y,z,i |
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110 i=0 |
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111 for y,x in ds('y','x',): |
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112 assert (x==array[i][:3]).all() |
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113 assert y==array[i][3] |
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114 assert (numpy.append(x,y)==array[i]).all() |
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115 i+=1 |
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116 assert i==len(ds) |
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117 del x,y,i |
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118 |
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119 def test_minibatch_size(minibatch,minibatch_size,len_ds,nb_field,nb_iter_finished): |
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120 ##full minibatch or the last minibatch |
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121 for idx in range(nb_field): |
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122 test_minibatch_field_size(minibatch[idx],minibatch_size,len_ds,nb_iter_finished) |
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123 del idx |
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124 def test_minibatch_field_size(minibatch_field,minibatch_size,len_ds,nb_iter_finished): |
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125 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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126 |
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127 # - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N): |
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128 i=0 |
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129 mi=0 |
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130 m=ds.minibatches(['x','z'], minibatch_size=3) |
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131 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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132 for minibatch in m: |
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133 assert isinstance(minibatch,DataSetFields) |
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134 assert len(minibatch)==2 |
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135 test_minibatch_size(minibatch,m.minibatch_size,len(ds),2,mi) |
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136 if type(ds)==ArrayDataSet: |
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137 assert (minibatch[0][:,::2]==minibatch[1]).all() |
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138 else: |
162
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139 for j in xrange(len(minibatch[0])): |
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140 (minibatch[0][j][::2]==minibatch[1][j]).all() |
145
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141 mi+=1 |
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142 i+=len(minibatch[0]) |
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143 assert i==len(ds) |
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144 assert mi==4 |
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145 del minibatch,i,m,mi |
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146 |
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147 i=0 |
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148 mi=0 |
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149 m=ds.minibatches(['x','y'], minibatch_size=3) |
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150 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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151 for minibatch in m: |
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152 assert len(minibatch)==2 |
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153 test_minibatch_size(minibatch,m.minibatch_size,len(ds),2,mi) |
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154 mi+=1 |
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155 for id in range(len(minibatch[0])): |
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156 assert (numpy.append(minibatch[0][id],minibatch[1][id])==array[i]).all() |
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157 i+=1 |
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158 assert i==len(ds) |
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159 assert mi==4 |
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160 del minibatch,i,id,m,mi |
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161 |
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162 # - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N): |
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163 i=0 |
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164 mi=0 |
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165 m=ds.minibatches(['x','z'], minibatch_size=3) |
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166 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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167 for x,z in m: |
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168 test_minibatch_field_size(x,m.minibatch_size,len(ds),mi) |
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169 test_minibatch_field_size(z,m.minibatch_size,len(ds),mi) |
164
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170 for id in range(len(x)): |
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171 assert (x[id][::2]==z[id]).all() |
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172 i+=1 |
145
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173 mi+=1 |
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174 assert i==len(ds) |
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175 assert mi==4 |
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176 del x,z,i,m,mi |
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177 i=0 |
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178 mi=0 |
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179 m=ds.minibatches(['x','y'], minibatch_size=3) |
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180 for x,y in m: |
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181 test_minibatch_field_size(x,m.minibatch_size,len(ds),mi) |
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182 test_minibatch_field_size(y,m.minibatch_size,len(ds),mi) |
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183 mi+=1 |
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184 for id in range(len(x)): |
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185 assert (numpy.append(x[id],y[id])==array[i]).all() |
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186 i+=1 |
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187 assert i==len(ds) |
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188 assert mi==4 |
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189 del x,y,i,id,m,mi |
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190 |
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191 #not in doc |
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192 i=0 |
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193 m=ds.minibatches(['x','y'],n_batches=1,minibatch_size=3,offset=4) |
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194 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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195 for x,y in m: |
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196 assert len(x)==3 |
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197 assert len(y)==3 |
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198 for id in range(3): |
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199 assert (numpy.append(x[id],y[id])==array[i+4]).all() |
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200 i+=1 |
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201 assert i==3 |
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202 del x,y,i,id,m |
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203 |
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204 i=0 |
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205 m=ds.minibatches(['x','y'],n_batches=2,minibatch_size=3,offset=4) |
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206 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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207 for x,y in m: |
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208 assert len(x)==3 |
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209 assert len(y)==3 |
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210 for id in range(3): |
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211 assert (numpy.append(x[id],y[id])==array[i+4]).all() |
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212 i+=1 |
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213 assert i==6 |
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214 del x,y,i,id,m |
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215 |
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216 i=0 |
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217 m=ds.minibatches(['x','y'],n_batches=20,minibatch_size=3,offset=4) |
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218 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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219 for x,y in m: |
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220 assert len(x)==3 |
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221 assert len(y)==3 |
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222 for id in range(3): |
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223 assert (numpy.append(x[id],y[id])==array[(i+4)%array.shape[0]]).all() |
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224 i+=1 |
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225 assert i==m.n_batches*m.minibatch_size |
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226 del x,y,i,id |
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227 |
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228 |
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229 def test_ds_iterator(array,iterator1,iterator2,iterator3): |
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230 l=len(iterator1) |
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231 i=0 |
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232 for x,y in iterator1: |
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233 assert (x==array[i][:3]).all() |
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234 assert y==array[i][3] |
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235 assert (numpy.append(x,y)==array[i]).all() |
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236 i+=1 |
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237 assert i==l |
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238 i=0 |
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239 for y,z in iterator2: |
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240 assert y==array[i][3] |
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241 assert (z==array[i][0:3:2]).all() |
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242 i+=1 |
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243 assert i==l |
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244 i=0 |
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245 for x,y,z in iterator3: |
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246 assert (x==array[i][:3]).all() |
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247 assert y==array[i][3] |
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248 assert (z==array[i][0:3:2]).all() |
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249 assert (numpy.append(x,y)==array[i]).all() |
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250 i+=1 |
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251 assert i==l |
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252 |
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253 def test_getitem(array,ds): |
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254 def test_ds(orig,ds,index): |
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255 i=0 |
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256 assert len(ds)==len(index) |
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257 for x,z,y in ds('x','z','y'): |
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258 assert (orig[index[i]]['x']==array[index[i]][:3]).all() |
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259 assert (orig[index[i]]['x']==x).all() |
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260 assert orig[index[i]]['y']==array[index[i]][3] |
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261 assert orig[index[i]]['y']==y |
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262 assert (orig[index[i]]['z']==array[index[i]][0:3:2]).all() |
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263 assert (orig[index[i]]['z']==z).all() |
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264 i+=1 |
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265 del i |
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266 ds[0] |
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267 if len(ds)>2: |
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268 ds[:1] |
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269 ds[1:1] |
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270 ds[1:1:1] |
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271 if len(ds)>5: |
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272 ds[[1,2,3]] |
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273 for x in ds: |
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274 pass |
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275 |
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276 #ds[:n] returns a dataset with the n first examples. |
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277 ds2=ds[:3] |
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278 assert isinstance(ds2,DataSet) |
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279 test_ds(ds,ds2,index=[0,1,2]) |
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280 del ds2 |
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281 |
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282 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s. |
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283 ds2=ds[1:7:2] |
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284 assert isinstance(ds2,DataSet) |
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285 test_ds(ds,ds2,[1,3,5]) |
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286 del ds2 |
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287 |
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288 #ds[i] |
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289 ds2=ds[5] |
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290 assert isinstance(ds2,Example) |
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291 assert have_raised("var['ds']["+str(len(ds))+"]",ds=ds) # index not defined |
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292 assert not have_raised("var['ds']["+str(len(ds)-1)+"]",ds=ds) |
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293 del ds2 |
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294 |
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295 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in. |
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296 ds2=ds[[4,7,2,8]] |
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297 assert isinstance(ds2,DataSet) |
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298 test_ds(ds,ds2,[4,7,2,8]) |
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299 del ds2 |
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300 |
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301 #ds[fieldname]# an iterable over the values of the field fieldname across |
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302 #the ds (the iterable is obtained by default by calling valuesVStack |
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303 #over the values for individual examples). |
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304 assert have_raised("ds['h']") # h is not defined... |
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305 assert have_raised("ds[['x']]") # bad syntax |
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306 assert not have_raised("var['ds']['x']",ds=ds) |
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307 isinstance(ds['x'],DataSetFields) |
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308 ds2=ds['x'] |
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309 assert len(ds['x'])==10 |
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310 assert len(ds['y'])==10 |
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311 assert len(ds['z'])==10 |
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312 i=0 |
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313 for example in ds['x']: |
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314 assert (example==array[i][:3]).all() |
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315 i+=1 |
168 | 316 assert i==len(ds) |
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317 i=0 |
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318 for example in ds['y']: |
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319 assert (example==array[i][3]).all() |
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320 i+=1 |
168 | 321 assert i==len(ds) |
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322 i=0 |
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323 for example in ds['z']: |
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324 assert (example==array[i,0:3:2]).all() |
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325 i+=1 |
168 | 326 assert i==len(ds) |
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327 del ds2,i |
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328 |
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329 #ds.<property># returns the value of a property associated with |
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330 #the name <property>. The following properties should be supported: |
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331 # - 'description': a textual description or name for the ds |
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332 # - 'fieldtypes': a list of types (one per field) |
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333 |
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334 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3])#???? |
173 | 335 #assert hstack([ds('x','y'),ds('z')])==ds |
336 #hstack([ds('z','y'),ds('x')])==ds | |
337 assert have_raised2(hstack,[ds('x'),ds('x')]) | |
338 assert have_raised2(hstack,[ds('y','x'),ds('x')]) | |
339 assert not have_raised2(hstack,[ds('x'),ds('y')]) | |
340 | |
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341 # i=0 |
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342 # for example in hstack([ds('x'),ds('y'),ds('z')]): |
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343 # example==ds[i] |
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344 # i+=1 |
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345 # del i,example |
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346 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3])#???? |
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347 |
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348 def test_fields_fct(ds): |
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349 #@todo, fill correctly |
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350 assert len(ds.fields())==3 |
168 | 351 i=0 |
352 v=0 | |
165
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353 for field in ds.fields(): |
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354 for field_value in field: # iterate over the values associated to that field for all the ds examples |
168 | 355 v+=1 |
356 i+=1 | |
357 assert i==3 | |
358 assert v==3*10 | |
359 del i,v | |
360 | |
361 i=0 | |
362 v=0 | |
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363 for field in ds('x','z').fields(): |
168 | 364 i+=1 |
365 for val in field: | |
366 v+=1 | |
367 assert i==2 | |
368 assert v==2*10 | |
369 del i,v | |
370 | |
371 i=0 | |
372 v=0 | |
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373 for field in ds.fields('x','y'): |
168 | 374 i+=1 |
375 for val in field: | |
376 v+=1 | |
377 assert i==2 | |
378 assert v==2*10 | |
379 del i,v | |
380 | |
381 i=0 | |
382 v=0 | |
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383 for field_examples in ds.fields(): |
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384 for example_value in field_examples: |
168 | 385 v+=1 |
386 i+=1 | |
387 assert i==3 | |
388 assert v==3*10 | |
389 del i,v | |
390 | |
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391 assert ds == ds.fields().examples() |
168 | 392 assert len(ds('x','y').fields()) == 2 |
393 assert len(ds('x','z').fields()) == 2 | |
394 assert len(ds('y').fields()) == 1 | |
165
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395 |
168 | 396 del field |
194
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397 def test_all(array,ds): |
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398 assert len(ds)==10 |
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399 |
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400 test_iterate_over_examples(array, ds) |
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401 test_getitem(array, ds) |
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402 test_ds_iterator(array,ds('x','y'),ds('y','z'),ds('x','y','z')) |
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403 test_fields_fct(ds) |
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404 |
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405 def test_ArrayDataSet(): |
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406 #don't test stream |
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407 #tested only with float value |
106 | 408 #don't always test with y |
409 #don't test missing value | |
410 #don't test with tuple | |
411 #don't test proterties | |
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412 print "test_ArrayDataSet" |
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413 a2 = numpy.random.rand(10,4) |
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414 ds = ArrayDataSet(a2,{'x':slice(3),'y':3,'z':[0,2]})###???tuple not tested |
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415 ds = ArrayDataSet(a2,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
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416 #assert ds==a? should this work? |
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417 |
194
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418 test_all(a2,ds) |
169
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419 |
165
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420 del a2, ds |
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421 |
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422 def test_LookupList(): |
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423 #test only the example in the doc??? |
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424 print "test_LookupList" |
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425 example = LookupList(['x','y','z'],[1,2,3]) |
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426 example['x'] = [1, 2, 3] # set or change a field |
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427 x, y, z = example |
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428 x = example[0] |
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429 x = example["x"] |
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430 assert example.keys()==['x','y','z'] |
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431 assert example.values()==[[1,2,3],2,3] |
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432 assert example.items()==[('x',[1,2,3]),('y',2),('z',3)] |
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433 example.append_keyval('u',0) # adds item with name 'u' and value 0 |
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434 assert len(example)==4 # number of items = 4 here |
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435 example2 = LookupList(['v','w'], ['a','b']) |
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436 example3 = LookupList(['x','y','z','u','v','w'], [[1, 2, 3],2,3,0,'a','b']) |
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437 assert example+example2==example3 |
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438 assert have_raised("var['x']+var['x']",x=example) |
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439 |
165
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440 del example, example2, example3, x, y ,z |
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441 |
158 | 442 def test_CachedDataSet(): |
148
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443 print "test_CacheDataSet" |
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444 a = numpy.random.rand(10,4) |
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445 ds1 = ArrayDataSet(a,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
148
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446 ds2 = CachedDataSet(ds1) |
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447 ds3 = CachedDataSet(ds1,cache_all_upon_construction=True) |
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448 |
195 | 449 test_all(a,ds2) |
450 test_all(a,ds3) | |
169
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451 |
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452 del a,ds1,ds2,ds3 |
148
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453 |
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454 |
161
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455 def test_DataSetFields(): |
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456 print "test_DataSetFields" |
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457 raise NotImplementedError() |
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458 |
84
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459 def test_ApplyFunctionDataSet(): |
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460 print "test_ApplyFunctionDataSet" |
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461 a = numpy.random.rand(10,4) |
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462 a2 = a+1 |
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463 ds1 = ArrayDataSet(a,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
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464 |
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465 ds2 = ApplyFunctionDataSet(ds1,lambda x,y,z: (x+1,y+1,z+1), ['x','y','z'],minibatch_mode=False) |
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466 ds3 = ApplyFunctionDataSet(ds1,lambda x,y,z: (numpy.array(x)+1,numpy.array(y)+1,numpy.array(z)+1), ['x','y','z'],minibatch_mode=True) |
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467 |
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468 test_all(a2,ds2) |
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469 test_all(a2,ds3) |
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470 |
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471 del a,ds1,ds2,ds3 |
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472 |
84
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473 def test_FieldsSubsetDataSet(): |
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474 print "test_FieldsSubsetDataSet" |
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475 raise NotImplementedError() |
84
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476 def test_MinibatchDataSet(): |
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477 print "test_MinibatchDataSet" |
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478 raise NotImplementedError() |
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479 def test_HStackedDataSet(): |
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480 print "test_HStackedDataSet" |
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481 raise NotImplementedError() |
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482 def test_VStackedDataSet(): |
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483 print "test_VStackedDataSet" |
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484 raise NotImplementedError() |
84
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485 def test_ArrayFieldsDataSet(): |
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486 print "test_ArrayFieldsDataSet" |
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487 raise NotImplementedError() |
157
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488 if __name__=='__main__': |
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489 test1() |
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490 test_LookupList() |
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491 test_ArrayDataSet() |
158 | 492 test_CachedDataSet() |
202
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493 test_ApplyFunctionDataSet() |
122
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494 #test pmat.py |