Mercurial > pylearn
annotate test_dataset.py @ 165:2a12e7437c56
small refactoring
author | Frederic Bastien <bastienf@iro.umontreal.ca> |
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date | Mon, 12 May 2008 17:51:28 -0400 |
parents | 3518710e16ec |
children | c704a66706fe |
rev | line source |
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51
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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 |
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8 have_thrown = False |
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9 try: |
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10 eval(to_eval) |
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11 except : |
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12 have_thrown = True |
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13 return have_thrown |
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14 |
45 | 15 def test1(): |
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16 print "test1" |
45 | 17 global a,ds |
18 a = numpy.random.rand(10,4) | |
19 print a | |
20 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]}) | |
21 print "len(ds)=",len(ds) | |
54 | 22 assert(len(ds)==10) |
45 | 23 print "example 0 = ",ds[0] |
54 | 24 # assert |
45 | 25 print "x=",ds["x"] |
26 print "x|y" | |
27 for x,y in ds("x","y"): | |
28 print x,y | |
29 minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4) | |
30 minibatch = minibatch_iterator.__iter__().next() | |
31 print "minibatch=",minibatch | |
32 for var in minibatch: | |
33 print "var=",var | |
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34 print "take a slice and look at field y",ds[1:6:2]["y"] |
45 | 35 |
165
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36 del a,ds,x,y,minibatch_iterator,minibatch,var |
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37 |
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38 def test_iterate_over_examples(array,ds): |
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39 #not in doc!!! |
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40 i=0 |
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41 for example in range(len(ds)): |
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42 assert (ds[example]['x']==array[example][:3]).all() |
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43 assert ds[example]['y']==array[example][3] |
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44 assert (ds[example]['z']==array[example][[0,2]]).all() |
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45 i+=1 |
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46 assert i==len(ds) |
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47 del example,i |
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48 |
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49 # - for example in dataset: |
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50 i=0 |
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51 for example in ds: |
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52 assert len(example)==3 |
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53 assert (example['x']==array[i][:3]).all() |
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54 assert example['y']==array[i][3] |
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55 assert (example['z']==array[i][0:3:2]).all() |
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56 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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57 i+=1 |
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58 assert i==len(ds) |
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59 del example,i |
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60 |
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61 # - for val1,val2,... in dataset: |
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62 i=0 |
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63 for x,y,z in ds: |
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64 assert (x==array[i][:3]).all() |
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65 assert y==array[i][3] |
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66 assert (z==array[i][0:3:2]).all() |
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67 assert (numpy.append(x,y)==array[i]).all() |
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68 i+=1 |
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69 assert i==len(ds) |
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70 del x,y,z,i |
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71 |
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72 # - for example in dataset(field1, field2,field3, ...): |
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73 i=0 |
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74 for example in ds('x','y','z'): |
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75 assert len(example)==3 |
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76 assert (example['x']==array[i][:3]).all() |
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77 assert example['y']==array[i][3] |
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78 assert (example['z']==array[i][0:3:2]).all() |
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79 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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80 i+=1 |
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81 assert i==len(ds) |
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82 del example,i |
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83 i=0 |
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84 for example in ds('y','x'): |
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85 assert len(example)==2 |
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86 assert (example['x']==array[i][:3]).all() |
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87 assert example['y']==array[i][3] |
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88 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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89 i+=1 |
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90 assert i==len(ds) |
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91 del example,i |
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92 |
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93 # - for val1,val2,val3 in dataset(field1, field2,field3): |
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94 i=0 |
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95 for x,y,z in ds('x','y','z'): |
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96 assert (x==array[i][:3]).all() |
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97 assert y==array[i][3] |
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98 assert (z==array[i][0:3:2]).all() |
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99 assert (numpy.append(x,y)==array[i]).all() |
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100 i+=1 |
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101 assert i==len(ds) |
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102 del x,y,z,i |
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103 i=0 |
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104 for y,x in ds('y','x',): |
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105 assert (x==array[i][:3]).all() |
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106 assert y==array[i][3] |
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107 assert (numpy.append(x,y)==array[i]).all() |
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108 i+=1 |
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109 assert i==len(ds) |
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110 del x,y,i |
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111 |
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112 def test_minibatch_size(minibatch,minibatch_size,len_ds,nb_field,nb_iter_finished): |
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113 ##full minibatch or the last minibatch |
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114 for idx in range(nb_field): |
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115 test_minibatch_field_size(minibatch[idx],minibatch_size,len_ds,nb_iter_finished) |
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116 del idx |
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117 def test_minibatch_field_size(minibatch_field,minibatch_size,len_ds,nb_iter_finished): |
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118 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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119 |
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120 # - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N): |
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121 i=0 |
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122 mi=0 |
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123 m=ds.minibatches(['x','z'], minibatch_size=3) |
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124 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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125 for minibatch in m: |
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126 assert isinstance(minibatch,DataSetFields) |
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127 assert len(minibatch)==2 |
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128 test_minibatch_size(minibatch,m.minibatch_size,len(ds),2,mi) |
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129 if type(ds)==ArrayDataSet: |
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130 assert (minibatch[0][:,::2]==minibatch[1]).all() |
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131 else: |
162
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132 for j in xrange(len(minibatch[0])): |
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133 (minibatch[0][j][::2]==minibatch[1][j]).all() |
145
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134 mi+=1 |
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135 i+=len(minibatch[0]) |
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136 assert i==len(ds) |
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137 assert mi==4 |
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138 del minibatch,i,m,mi |
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139 |
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140 i=0 |
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141 mi=0 |
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142 m=ds.minibatches(['x','y'], minibatch_size=3) |
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143 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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144 for minibatch in m: |
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145 assert len(minibatch)==2 |
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146 test_minibatch_size(minibatch,m.minibatch_size,len(ds),2,mi) |
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147 mi+=1 |
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148 for id in range(len(minibatch[0])): |
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149 assert (numpy.append(minibatch[0][id],minibatch[1][id])==array[i]).all() |
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150 i+=1 |
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151 assert i==len(ds) |
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152 assert mi==4 |
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153 del minibatch,i,id,m,mi |
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154 |
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155 # - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N): |
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156 i=0 |
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157 mi=0 |
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158 m=ds.minibatches(['x','z'], minibatch_size=3) |
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159 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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160 for x,z in m: |
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161 test_minibatch_field_size(x,m.minibatch_size,len(ds),mi) |
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162 test_minibatch_field_size(z,m.minibatch_size,len(ds),mi) |
164
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163 for id in range(len(x)): |
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164 assert (x[id][::2]==z[id]).all() |
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165 i+=1 |
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166 mi+=1 |
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167 assert i==len(ds) |
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168 assert mi==4 |
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169 del x,z,i,m,mi |
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170 i=0 |
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171 mi=0 |
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172 m=ds.minibatches(['x','y'], minibatch_size=3) |
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173 for x,y in m: |
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174 test_minibatch_field_size(x,m.minibatch_size,len(ds),mi) |
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175 test_minibatch_field_size(y,m.minibatch_size,len(ds),mi) |
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176 mi+=1 |
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177 for id in range(len(x)): |
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178 assert (numpy.append(x[id],y[id])==array[i]).all() |
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179 i+=1 |
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180 assert i==len(ds) |
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181 assert mi==4 |
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182 del x,y,i,id,m,mi |
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183 |
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184 #not in doc |
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185 i=0 |
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186 m=ds.minibatches(['x','y'],n_batches=1,minibatch_size=3,offset=4) |
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187 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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188 for x,y in m: |
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189 assert len(x)==3 |
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190 assert len(y)==3 |
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191 for id in range(3): |
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192 assert (numpy.append(x[id],y[id])==array[i+4]).all() |
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193 i+=1 |
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194 assert i==3 |
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195 del x,y,i,id,m |
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196 |
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197 i=0 |
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198 m=ds.minibatches(['x','y'],n_batches=2,minibatch_size=3,offset=4) |
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199 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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200 for x,y in m: |
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201 assert len(x)==3 |
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202 assert len(y)==3 |
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203 for id in range(3): |
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204 assert (numpy.append(x[id],y[id])==array[i+4]).all() |
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205 i+=1 |
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206 assert i==6 |
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207 del x,y,i,id,m |
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208 |
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209 i=0 |
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210 m=ds.minibatches(['x','y'],n_batches=20,minibatch_size=3,offset=4) |
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211 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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212 for x,y in m: |
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213 assert len(x)==3 |
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214 assert len(y)==3 |
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215 for id in range(3): |
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216 assert (numpy.append(x[id],y[id])==array[(i+4)%array.shape[0]]).all() |
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217 i+=1 |
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218 assert i==m.n_batches*m.minibatch_size |
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219 del x,y,i,id |
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220 |
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221 |
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222 def test_ds_iterator(array,iterator1,iterator2,iterator3): |
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223 l=len(iterator1) |
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224 i=0 |
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225 for x,y in iterator1: |
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226 assert (x==array[i][:3]).all() |
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227 assert y==array[i][3] |
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228 assert (numpy.append(x,y)==array[i]).all() |
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229 i+=1 |
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230 assert i==l |
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231 i=0 |
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232 for y,z in iterator2: |
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233 assert y==array[i][3] |
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234 assert (z==array[i][0:3:2]).all() |
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235 i+=1 |
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236 assert i==l |
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237 i=0 |
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238 for x,y,z in iterator3: |
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239 assert (x==array[i][:3]).all() |
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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 assert (numpy.append(x,y)==array[i]).all() |
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243 i+=1 |
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244 assert i==l |
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245 |
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246 def test_getitem(array,ds): |
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247 def test_ds(orig,ds,index): |
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248 i=0 |
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249 assert len(ds)==len(index) |
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250 for x,z,y in ds('x','z','y'): |
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251 assert (orig[index[i]]['x']==array[index[i]][:3]).all() |
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252 assert (orig[index[i]]['x']==x).all() |
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253 assert orig[index[i]]['y']==array[index[i]][3] |
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254 assert orig[index[i]]['y']==y |
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255 assert (orig[index[i]]['z']==array[index[i]][0:3:2]).all() |
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256 assert (orig[index[i]]['z']==z).all() |
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257 i+=1 |
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258 del i |
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259 ds[0] |
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260 if len(ds)>2: |
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261 ds[:1] |
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262 ds[1:1] |
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263 ds[1:1:1] |
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264 if len(ds)>5: |
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265 ds[[1,2,3]] |
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266 for x in ds: |
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267 pass |
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268 |
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269 #ds[:n] returns a dataset with the n first examples. |
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270 ds2=ds[:3] |
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271 assert isinstance(ds2,DataSet) |
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272 test_ds(ds,ds2,index=[0,1,2]) |
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273 del ds2 |
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274 |
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275 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s. |
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276 ds2=ds[1:7:2] |
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277 assert isinstance(ds2,DataSet) |
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278 test_ds(ds,ds2,[1,3,5]) |
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279 del ds2 |
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280 |
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281 #ds[i] |
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282 ds2=ds[5] |
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283 assert isinstance(ds2,Example) |
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284 assert have_raised("var['ds']["+str(len(ds))+"]",ds=ds) # index not defined |
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285 assert not have_raised("var['ds']["+str(len(ds)-1)+"]",ds=ds) |
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286 del ds2 |
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287 |
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288 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in. |
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289 ds2=ds[[4,7,2,8]] |
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290 assert isinstance(ds2,DataSet) |
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291 test_ds(ds,ds2,[4,7,2,8]) |
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292 del ds2 |
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293 |
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294 #ds[fieldname]# an iterable over the values of the field fieldname across |
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295 #the ds (the iterable is obtained by default by calling valuesVStack |
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296 #over the values for individual examples). |
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297 assert have_raised("ds['h']") # h is not defined... |
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298 assert have_raised("ds[['x']]") # bad syntax |
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299 assert not have_raised("var['ds']['x']",ds=ds) |
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300 isinstance(ds['x'],DataSetFields) |
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301 ds2=ds['x'] |
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302 assert len(ds['x'])==10 |
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303 assert len(ds['y'])==10 |
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304 assert len(ds['z'])==10 |
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305 i=0 |
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306 for example in ds['x']: |
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307 assert (example==array[i][:3]).all() |
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308 i+=1 |
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309 i=0 |
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310 for example in ds['y']: |
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311 assert (example==array[i][3]).all() |
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312 i+=1 |
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313 i=0 |
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314 for example in ds['z']: |
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315 assert (example==array[i,0:3:2]).all() |
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316 i+=1 |
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317 del ds2,i |
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318 |
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319 #ds.<property># returns the value of a property associated with |
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320 #the name <property>. The following properties should be supported: |
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321 # - 'description': a textual description or name for the ds |
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322 # - 'fieldtypes': a list of types (one per field) |
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323 |
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324 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3])#???? |
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325 #hstack([ds('x','y'),ds('z')] |
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326 #hstack([ds('z','y'),ds('x')] |
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327 #assert have_thrown("hstack([ds('x'),ds('x')]") |
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328 #assert not have_thrown("hstack([ds('x'),ds('x')]") |
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329 #accept_nonunique_names |
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330 #assert have_thrown("hstack([ds('y','x'),ds('x')]") |
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331 # i=0 |
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332 # for example in hstack([ds('x'),ds('y'),ds('z')]): |
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333 # example==ds[i] |
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334 # i+=1 |
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335 # del i,example |
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336 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3])#???? |
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337 |
165
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338 def test_fields_fct(ds): |
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339 #@todo, fill correctly |
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340 assert len(ds.fields())==3 |
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341 for field in ds.fields(): |
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342 for field_value in field: # iterate over the values associated to that field for all the ds examples |
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343 pass |
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344 for field in ds('x','z').fields(): |
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345 pass |
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346 for field in ds.fields('x','y'): |
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347 pass |
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348 for field_examples in ds.fields(): |
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349 for example_value in field_examples: |
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350 pass |
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351 |
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352 assert ds == ds.fields().examples() |
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353 |
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354 |
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355 |
58
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356 def test_ArrayDataSet(): |
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357 #don't test stream |
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358 #tested only with float value |
106 | 359 #don't always test with y |
360 #don't test missing value | |
361 #don't test with tuple | |
362 #don't test proterties | |
84
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363 print "test_ArrayDataSet" |
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364 a2 = numpy.random.rand(10,4) |
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365 ds = ArrayDataSet(a2,{'x':slice(3),'y':3,'z':[0,2]})###???tuple not tested |
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366 ds = ArrayDataSet(a2,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
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367 assert len(ds)==10 |
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368 #assert ds==a? should this work? |
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369 |
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370 test_iterate_over_examples(a2, ds) |
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371 test_getitem(a2, ds) |
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372 |
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373 # - for val1,val2,val3 in dataset(field1, field2,field3): |
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374 test_ds_iterator(a2,ds('x','y'),ds('y','z'),ds('x','y','z')) |
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375 test_fields_fct(ds) |
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376 del a2, ds |
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377 |
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378 def test_LookupList(): |
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379 #test only the example in the doc??? |
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380 print "test_LookupList" |
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381 example = LookupList(['x','y','z'],[1,2,3]) |
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382 example['x'] = [1, 2, 3] # set or change a field |
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383 x, y, z = example |
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384 x = example[0] |
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385 x = example["x"] |
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386 assert example.keys()==['x','y','z'] |
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387 assert example.values()==[[1,2,3],2,3] |
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388 assert example.items()==[('x',[1,2,3]),('y',2),('z',3)] |
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389 example.append_keyval('u',0) # adds item with name 'u' and value 0 |
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390 assert len(example)==4 # number of items = 4 here |
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391 example2 = LookupList(['v','w'], ['a','b']) |
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392 example3 = LookupList(['x','y','z','u','v','w'], [[1, 2, 3],2,3,0,'a','b']) |
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393 assert example+example2==example3 |
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394 assert have_raised("var['x']+var['x']",x=example) |
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395 |
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396 del example, example2, example3, x, y ,z |
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397 |
158 | 398 def test_CachedDataSet(): |
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399 print "test_CacheDataSet" |
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400 a2 = numpy.random.rand(10,4) |
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401 ds1 = ArrayDataSet(a2,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
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402 ds2 = CachedDataSet(ds1) |
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403 ds3 = CachedDataSet(ds1,cache_all_upon_construction=True) |
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404 assert len(ds2)==10 |
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405 |
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406 test_iterate_over_examples(a2, ds2) |
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407 test_getitem(a2, ds2) |
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408 |
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409 # - for val1,val2,val3 in dataset(field1, field2,field3): |
149 | 410 test_ds_iterator(a2,ds2('x','y'),ds2('y','z'),ds2('x','y','z')) |
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411 test_fields_fct(ds2) |
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412 |
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413 del a2,ds1,ds2,ds3 |
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414 |
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415 |
161
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416 def test_DataSetFields(): |
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417 print "test_DataSetFields" |
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418 raise NotImplementedError() |
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419 |
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420 def test_ApplyFunctionDataSet(): |
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421 print "test_ApplyFunctionDataSet" |
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422 raise NotImplementedError() |
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423 def test_FieldsSubsetDataSet(): |
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424 print "test_FieldsSubsetDataSet" |
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425 raise NotImplementedError() |
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426 def test_MinibatchDataSet(): |
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427 print "test_MinibatchDataSet" |
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428 raise NotImplementedError() |
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429 def test_HStackedDataSet(): |
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430 print "test_HStackedDataSet" |
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431 raise NotImplementedError() |
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432 def test_VStackedDataSet(): |
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433 print "test_VStackedDataSet" |
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434 raise NotImplementedError() |
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435 def test_ArrayFieldsDataSet(): |
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436 print "test_ArrayFieldsDataSet" |
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437 raise NotImplementedError() |
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438 if __name__=='__main__': |
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439 test1() |
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440 test_LookupList() |
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441 test_ArrayDataSet() |
158 | 442 test_CachedDataSet() |
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443 #test pmat.py |