Mercurial > pylearn
annotate test_dataset.py @ 239:77b362a23f8e
more general test
author | Frederic Bastien <bastienf@iro.umontreal.ca> |
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date | Thu, 29 May 2008 10:41:35 -0400 |
parents | 6aff510792dd |
children | 97f35d586727 |
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 | |
229
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5 from misc import * |
45 | 6 |
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7 def have_raised(to_eval, **var): |
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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 |
173 | 15 def have_raised2(f, *args, **kwargs): |
16 have_thrown = False | |
17 try: | |
18 f(*args, **kwargs) | |
19 except : | |
20 have_thrown = True | |
21 return have_thrown | |
22 | |
45 | 23 def test1(): |
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24 print "test1" |
45 | 25 global a,ds |
26 a = numpy.random.rand(10,4) | |
27 print a | |
28 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]}) | |
29 print "len(ds)=",len(ds) | |
54 | 30 assert(len(ds)==10) |
45 | 31 print "example 0 = ",ds[0] |
54 | 32 # assert |
45 | 33 print "x=",ds["x"] |
34 print "x|y" | |
35 for x,y in ds("x","y"): | |
36 print x,y | |
37 minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4) | |
38 minibatch = minibatch_iterator.__iter__().next() | |
39 print "minibatch=",minibatch | |
40 for var in minibatch: | |
41 print "var=",var | |
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42 print "take a slice and look at field y",ds[1:6:2]["y"] |
45 | 43 |
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44 del a,ds,x,y,minibatch_iterator,minibatch,var |
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45 |
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46 def test_iterate_over_examples(array,ds): |
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47 #not in doc!!! |
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48 i=0 |
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49 for example in range(len(ds)): |
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50 assert (ds[example]['x']==array[example][:3]).all() |
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51 assert ds[example]['y']==array[example][3] |
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52 assert (ds[example]['z']==array[example][[0,2]]).all() |
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53 i+=1 |
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54 assert i==len(ds) |
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55 del example,i |
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56 |
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57 # - for example in dataset: |
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58 i=0 |
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59 for example in ds: |
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60 assert len(example)==3 |
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61 assert (example['x']==array[i][:3]).all() |
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62 assert example['y']==array[i][3] |
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63 assert (example['z']==array[i][0:3:2]).all() |
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64 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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65 i+=1 |
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66 assert i==len(ds) |
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67 del example,i |
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68 |
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69 # - for val1,val2,... in dataset: |
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70 i=0 |
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71 for x,y,z in ds: |
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72 assert (x==array[i][:3]).all() |
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73 assert y==array[i][3] |
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74 assert (z==array[i][0:3:2]).all() |
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75 assert (numpy.append(x,y)==array[i]).all() |
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76 i+=1 |
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77 assert i==len(ds) |
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78 del x,y,z,i |
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79 |
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80 # - for example in dataset(field1, field2,field3, ...): |
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81 i=0 |
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82 for example in ds('x','y','z'): |
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83 assert len(example)==3 |
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84 assert (example['x']==array[i][:3]).all() |
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85 assert example['y']==array[i][3] |
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86 assert (example['z']==array[i][0:3:2]).all() |
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87 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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88 i+=1 |
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89 assert i==len(ds) |
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90 del example,i |
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91 i=0 |
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92 for example in ds('y','x'): |
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93 assert len(example)==2 |
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94 assert (example['x']==array[i][:3]).all() |
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95 assert example['y']==array[i][3] |
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96 assert (numpy.append(example['x'],example['y'])==array[i]).all() |
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97 i+=1 |
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98 assert i==len(ds) |
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99 del example,i |
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100 |
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101 # - for val1,val2,val3 in dataset(field1, field2,field3): |
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102 i=0 |
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103 for x,y,z in ds('x','y','z'): |
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104 assert (x==array[i][:3]).all() |
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105 assert y==array[i][3] |
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106 assert (z==array[i][0:3:2]).all() |
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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,z,i |
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111 i=0 |
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112 for y,x in ds('y','x',): |
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113 assert (x==array[i][:3]).all() |
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114 assert y==array[i][3] |
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115 assert (numpy.append(x,y)==array[i]).all() |
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116 i+=1 |
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117 assert i==len(ds) |
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118 del x,y,i |
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119 |
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120 def test_minibatch_size(minibatch,minibatch_size,len_ds,nb_field,nb_iter_finished): |
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121 ##full minibatch or the last minibatch |
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122 for idx in range(nb_field): |
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123 test_minibatch_field_size(minibatch[idx],minibatch_size,len_ds,nb_iter_finished) |
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124 del idx |
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125 def test_minibatch_field_size(minibatch_field,minibatch_size,len_ds,nb_iter_finished): |
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126 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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127 |
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128 # - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N): |
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129 i=0 |
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130 mi=0 |
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131 m=ds.minibatches(['x','z'], minibatch_size=3) |
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132 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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133 for minibatch in m: |
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134 assert isinstance(minibatch,DataSetFields) |
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135 assert len(minibatch)==2 |
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136 test_minibatch_size(minibatch,m.minibatch_size,len(ds),2,mi) |
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137 if type(ds)==ArrayDataSet: |
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138 assert (minibatch[0][:,::2]==minibatch[1]).all() |
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139 else: |
162
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140 for j in xrange(len(minibatch[0])): |
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141 (minibatch[0][j][::2]==minibatch[1][j]).all() |
145
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142 mi+=1 |
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143 i+=len(minibatch[0]) |
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144 assert i==len(ds) |
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145 assert mi==4 |
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146 del minibatch,i,m,mi |
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147 |
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148 i=0 |
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149 mi=0 |
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150 m=ds.minibatches(['x','y'], minibatch_size=3) |
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151 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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152 for minibatch in m: |
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153 assert len(minibatch)==2 |
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154 test_minibatch_size(minibatch,m.minibatch_size,len(ds),2,mi) |
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155 mi+=1 |
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156 for id in range(len(minibatch[0])): |
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157 assert (numpy.append(minibatch[0][id],minibatch[1][id])==array[i]).all() |
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158 i+=1 |
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159 assert i==len(ds) |
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160 assert mi==4 |
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161 del minibatch,i,id,m,mi |
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162 |
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163 # - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N): |
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164 i=0 |
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165 mi=0 |
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166 m=ds.minibatches(['x','z'], minibatch_size=3) |
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167 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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168 for x,z in m: |
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169 test_minibatch_field_size(x,m.minibatch_size,len(ds),mi) |
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170 test_minibatch_field_size(z,m.minibatch_size,len(ds),mi) |
164
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171 for id in range(len(x)): |
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172 assert (x[id][::2]==z[id]).all() |
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173 i+=1 |
145
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174 mi+=1 |
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175 assert i==len(ds) |
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176 assert mi==4 |
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177 del x,z,i,m,mi |
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178 i=0 |
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179 mi=0 |
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180 m=ds.minibatches(['x','y'], minibatch_size=3) |
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181 for x,y in m: |
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182 test_minibatch_field_size(x,m.minibatch_size,len(ds),mi) |
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183 test_minibatch_field_size(y,m.minibatch_size,len(ds),mi) |
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184 mi+=1 |
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185 for id in range(len(x)): |
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186 assert (numpy.append(x[id],y[id])==array[i]).all() |
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187 i+=1 |
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188 assert i==len(ds) |
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189 assert mi==4 |
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190 del x,y,i,id,m,mi |
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191 |
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192 #not in doc |
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193 i=0 |
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194 m=ds.minibatches(['x','y'],n_batches=1,minibatch_size=3,offset=4) |
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195 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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196 for x,y in m: |
239
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197 assert len(x)==m.minibatch_size |
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198 assert len(y)==m.minibatch_size |
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199 for id in range(m.minibatch_size): |
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200 assert (numpy.append(x[id],y[id])==array[i+4]).all() |
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201 i+=1 |
239
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202 assert i==m.n_batches*m.minibatch_size |
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203 del x,y,i,id,m |
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204 |
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205 i=0 |
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206 m=ds.minibatches(['x','y'],n_batches=2,minibatch_size=3,offset=4) |
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207 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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208 for x,y in m: |
239
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209 assert len(x)==m.minibatch_size |
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210 assert len(y)==m.minibatch_size |
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211 for id in range(m.minibatch_size): |
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212 assert (numpy.append(x[id],y[id])==array[i+4]).all() |
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213 i+=1 |
239
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214 assert i==m.n_batches*m.minibatch_size |
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215 del x,y,i,id,m |
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216 |
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217 i=0 |
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218 m=ds.minibatches(['x','y'],n_batches=20,minibatch_size=3,offset=4) |
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219 assert isinstance(m,DataSet.MinibatchWrapAroundIterator) |
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220 for x,y in m: |
239
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221 assert len(x)==m.minibatch_size |
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222 assert len(y)==m.minibatch_size |
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223 for id in range(m.minibatch_size): |
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224 assert (numpy.append(x[id],y[id])==array[(i+4)%array.shape[0]]).all() |
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225 i+=1 |
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226 assert i==m.n_batches*m.minibatch_size |
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227 del x,y,i,id |
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228 |
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229 |
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230 def test_ds_iterator(array,iterator1,iterator2,iterator3): |
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231 l=len(iterator1) |
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232 i=0 |
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233 for x,y in iterator1: |
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234 assert (x==array[i][:3]).all() |
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235 assert y==array[i][3] |
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236 assert (numpy.append(x,y)==array[i]).all() |
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237 i+=1 |
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238 assert i==l |
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239 i=0 |
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240 for y,z in iterator2: |
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241 assert y==array[i][3] |
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242 assert (z==array[i][0:3:2]).all() |
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243 i+=1 |
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244 assert i==l |
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245 i=0 |
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246 for x,y,z in iterator3: |
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247 assert (x==array[i][:3]).all() |
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248 assert y==array[i][3] |
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249 assert (z==array[i][0:3:2]).all() |
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250 assert (numpy.append(x,y)==array[i]).all() |
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251 i+=1 |
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252 assert i==l |
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253 |
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254 def test_getitem(array,ds): |
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255 def test_ds(orig,ds,index): |
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256 i=0 |
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257 assert len(ds)==len(index) |
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258 for x,z,y in ds('x','z','y'): |
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259 assert (orig[index[i]]['x']==array[index[i]][:3]).all() |
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260 assert (orig[index[i]]['x']==x).all() |
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261 assert orig[index[i]]['y']==array[index[i]][3] |
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262 assert orig[index[i]]['y']==y |
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263 assert (orig[index[i]]['z']==array[index[i]][0:3:2]).all() |
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264 assert (orig[index[i]]['z']==z).all() |
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265 i+=1 |
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266 del i |
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267 ds[0] |
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268 if len(ds)>2: |
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269 ds[:1] |
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270 ds[1:1] |
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271 ds[1:1:1] |
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272 if len(ds)>5: |
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273 ds[[1,2,3]] |
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274 for x in ds: |
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275 pass |
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276 |
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277 #ds[:n] returns a dataset with the n first examples. |
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278 ds2=ds[:3] |
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279 assert isinstance(ds2,DataSet) |
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280 test_ds(ds,ds2,index=[0,1,2]) |
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281 del ds2 |
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282 |
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283 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s. |
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284 ds2=ds[1:7:2] |
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285 assert isinstance(ds2,DataSet) |
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286 test_ds(ds,ds2,[1,3,5]) |
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287 del ds2 |
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288 |
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289 #ds[i] |
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290 ds2=ds[5] |
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291 assert isinstance(ds2,Example) |
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292 assert have_raised("var['ds']["+str(len(ds))+"]",ds=ds) # index not defined |
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293 assert not have_raised("var['ds']["+str(len(ds)-1)+"]",ds=ds) |
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294 del ds2 |
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295 |
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296 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in. |
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297 ds2=ds[[4,7,2,8]] |
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298 assert isinstance(ds2,DataSet) |
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299 test_ds(ds,ds2,[4,7,2,8]) |
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300 del ds2 |
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301 |
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302 #ds[fieldname]# an iterable over the values of the field fieldname across |
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303 #the ds (the iterable is obtained by default by calling valuesVStack |
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304 #over the values for individual examples). |
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305 assert have_raised("ds['h']") # h is not defined... |
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306 assert have_raised("ds[['x']]") # bad syntax |
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307 assert not have_raised("var['ds']['x']",ds=ds) |
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308 isinstance(ds['x'],DataSetFields) |
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309 ds2=ds['x'] |
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310 assert len(ds['x'])==10 |
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311 assert len(ds['y'])==10 |
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312 assert len(ds['z'])==10 |
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313 i=0 |
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314 for example in ds['x']: |
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315 assert (example==array[i][:3]).all() |
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316 i+=1 |
168 | 317 assert i==len(ds) |
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318 i=0 |
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319 for example in ds['y']: |
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320 assert (example==array[i][3]).all() |
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321 i+=1 |
168 | 322 assert i==len(ds) |
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323 i=0 |
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324 for example in ds['z']: |
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325 assert (example==array[i,0:3:2]).all() |
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326 i+=1 |
168 | 327 assert i==len(ds) |
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328 del ds2,i |
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329 |
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330 #ds.<property># returns the value of a property associated with |
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331 #the name <property>. The following properties should be supported: |
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332 # - 'description': a textual description or name for the ds |
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333 # - 'fieldtypes': a list of types (one per field) |
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334 |
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335 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3])#???? |
173 | 336 #assert hstack([ds('x','y'),ds('z')])==ds |
337 #hstack([ds('z','y'),ds('x')])==ds | |
338 assert have_raised2(hstack,[ds('x'),ds('x')]) | |
339 assert have_raised2(hstack,[ds('y','x'),ds('x')]) | |
340 assert not have_raised2(hstack,[ds('x'),ds('y')]) | |
341 | |
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342 # i=0 |
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343 # for example in hstack([ds('x'),ds('y'),ds('z')]): |
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344 # example==ds[i] |
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345 # i+=1 |
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346 # del i,example |
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347 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3])#???? |
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348 |
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349 def test_fields_fct(ds): |
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350 #@todo, fill correctly |
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351 assert len(ds.fields())==3 |
168 | 352 i=0 |
353 v=0 | |
165
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354 for field in ds.fields(): |
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355 for field_value in field: # iterate over the values associated to that field for all the ds examples |
168 | 356 v+=1 |
357 i+=1 | |
358 assert i==3 | |
359 assert v==3*10 | |
360 del i,v | |
361 | |
362 i=0 | |
363 v=0 | |
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364 for field in ds('x','z').fields(): |
168 | 365 i+=1 |
366 for val in field: | |
367 v+=1 | |
368 assert i==2 | |
369 assert v==2*10 | |
370 del i,v | |
371 | |
372 i=0 | |
373 v=0 | |
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374 for field in ds.fields('x','y'): |
168 | 375 i+=1 |
376 for val in field: | |
377 v+=1 | |
378 assert i==2 | |
379 assert v==2*10 | |
380 del i,v | |
381 | |
382 i=0 | |
383 v=0 | |
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384 for field_examples in ds.fields(): |
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385 for example_value in field_examples: |
168 | 386 v+=1 |
387 i+=1 | |
388 assert i==3 | |
389 assert v==3*10 | |
390 del i,v | |
391 | |
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392 assert ds == ds.fields().examples() |
168 | 393 assert len(ds('x','y').fields()) == 2 |
394 assert len(ds('x','z').fields()) == 2 | |
395 assert len(ds('y').fields()) == 1 | |
165
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396 |
168 | 397 del field |
194
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398 def test_all(array,ds): |
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399 assert len(ds)==10 |
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400 |
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401 test_iterate_over_examples(array, ds) |
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402 test_getitem(array, ds) |
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403 test_ds_iterator(array,ds('x','y'),ds('y','z'),ds('x','y','z')) |
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404 test_fields_fct(ds) |
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405 |
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406 def test_ArrayDataSet(): |
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407 #don't test stream |
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diff
changeset
|
408 #tested only with float value |
106 | 409 #don't always test with y |
410 #don't test missing value | |
411 #don't test with tuple | |
412 #don't test proterties | |
84
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff
changeset
|
413 print "test_ArrayDataSet" |
145
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make some function global to reuse them to test other dataset
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diff
changeset
|
414 a2 = numpy.random.rand(10,4) |
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diff
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|
415 ds = ArrayDataSet(a2,{'x':slice(3),'y':3,'z':[0,2]})###???tuple not tested |
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diff
changeset
|
416 ds = ArrayDataSet(a2,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
58
17729d7104fa
added function test_ArrayDataSet
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54
diff
changeset
|
417 #assert ds==a? should this work? |
100
574f4db76022
restructuring and added test
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96
diff
changeset
|
418 |
194
0040ba0f0666
small refactoring
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diff
changeset
|
419 test_all(a2,ds) |
169
051e07807554
added test for CachedDataSet(ds,cache_all_upon_construction=True)
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168
diff
changeset
|
420 |
165
2a12e7437c56
small refactoring
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164
diff
changeset
|
421 del a2, ds |
81
4b0859606d05
Added test for ArrayDataSet and LookUpList
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66
diff
changeset
|
422 |
4b0859606d05
Added test for ArrayDataSet and LookUpList
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diff
changeset
|
423 def test_LookupList(): |
4b0859606d05
Added test for ArrayDataSet and LookUpList
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66
diff
changeset
|
424 #test only the example in the doc??? |
84
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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parents:
82
diff
changeset
|
425 print "test_LookupList" |
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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parents:
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diff
changeset
|
426 example = LookupList(['x','y','z'],[1,2,3]) |
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff
changeset
|
427 example['x'] = [1, 2, 3] # set or change a field |
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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82
diff
changeset
|
428 x, y, z = example |
aa9e786ee849
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82
diff
changeset
|
429 x = example[0] |
aa9e786ee849
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diff
changeset
|
430 x = example["x"] |
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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parents:
82
diff
changeset
|
431 assert example.keys()==['x','y','z'] |
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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diff
changeset
|
432 assert example.values()==[[1,2,3],2,3] |
aa9e786ee849
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parents:
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diff
changeset
|
433 assert example.items()==[('x',[1,2,3]),('y',2),('z',3)] |
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added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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parents:
82
diff
changeset
|
434 example.append_keyval('u',0) # adds item with name 'u' and value 0 |
aa9e786ee849
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diff
changeset
|
435 assert len(example)==4 # number of items = 4 here |
aa9e786ee849
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diff
changeset
|
436 example2 = LookupList(['v','w'], ['a','b']) |
aa9e786ee849
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diff
changeset
|
437 example3 = LookupList(['x','y','z','u','v','w'], [[1, 2, 3],2,3,0,'a','b']) |
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
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parents:
82
diff
changeset
|
438 assert example+example2==example3 |
145
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139
diff
changeset
|
439 assert have_raised("var['x']+var['x']",x=example) |
81
4b0859606d05
Added test for ArrayDataSet and LookUpList
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66
diff
changeset
|
440 |
165
2a12e7437c56
small refactoring
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164
diff
changeset
|
441 del example, example2, example3, x, y ,z |
2a12e7437c56
small refactoring
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164
diff
changeset
|
442 |
158 | 443 def test_CachedDataSet(): |
148
a5329e719229
added test for CachedDataSet
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diff
changeset
|
444 print "test_CacheDataSet" |
169
051e07807554
added test for CachedDataSet(ds,cache_all_upon_construction=True)
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parents:
168
diff
changeset
|
445 a = numpy.random.rand(10,4) |
051e07807554
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168
diff
changeset
|
446 ds1 = ArrayDataSet(a,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
148
a5329e719229
added test for CachedDataSet
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parents:
145
diff
changeset
|
447 ds2 = CachedDataSet(ds1) |
a5329e719229
added test for CachedDataSet
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parents:
145
diff
changeset
|
448 ds3 = CachedDataSet(ds1,cache_all_upon_construction=True) |
a5329e719229
added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
145
diff
changeset
|
449 |
195 | 450 test_all(a,ds2) |
451 test_all(a,ds3) | |
169
051e07807554
added test for CachedDataSet(ds,cache_all_upon_construction=True)
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parents:
168
diff
changeset
|
452 |
051e07807554
added test for CachedDataSet(ds,cache_all_upon_construction=True)
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parents:
168
diff
changeset
|
453 del a,ds1,ds2,ds3 |
148
a5329e719229
added test for CachedDataSet
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parents:
145
diff
changeset
|
454 |
a5329e719229
added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
145
diff
changeset
|
455 |
161
60e00cce3492
bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
158
diff
changeset
|
456 def test_DataSetFields(): |
60e00cce3492
bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
158
diff
changeset
|
457 print "test_DataSetFields" |
60e00cce3492
bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
158
diff
changeset
|
458 raise NotImplementedError() |
60e00cce3492
bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
158
diff
changeset
|
459 |
84
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
460 def test_ApplyFunctionDataSet(): |
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
461 print "test_ApplyFunctionDataSet" |
202
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
462 a = numpy.random.rand(10,4) |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
463 a2 = a+1 |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
464 ds1 = ArrayDataSet(a,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
465 |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
466 ds2 = ApplyFunctionDataSet(ds1,lambda x,y,z: (x+1,y+1,z+1), ['x','y','z'],minibatch_mode=False) |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
467 ds3 = ApplyFunctionDataSet(ds1,lambda x,y,z: (numpy.array(x)+1,numpy.array(y)+1,numpy.array(z)+1), |
d7250ee86f72
Added speed test for ArraDataSet
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parents:
202
diff
changeset
|
468 ['x','y','z'], |
d7250ee86f72
Added speed test for ArraDataSet
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parents:
202
diff
changeset
|
469 minibatch_mode=True) |
202
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
470 |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
471 test_all(a2,ds2) |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
472 test_all(a2,ds3) |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
473 |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
474 del a,ds1,ds2,ds3 |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
475 |
84
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
476 def test_FieldsSubsetDataSet(): |
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
477 print "test_FieldsSubsetDataSet" |
81
4b0859606d05
Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
66
diff
changeset
|
478 raise NotImplementedError() |
84
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
479 def test_MinibatchDataSet(): |
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
480 print "test_MinibatchDataSet" |
81
4b0859606d05
Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
66
diff
changeset
|
481 raise NotImplementedError() |
84
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
482 def test_HStackedDataSet(): |
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
483 print "test_HStackedDataSet" |
81
4b0859606d05
Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
66
diff
changeset
|
484 raise NotImplementedError() |
84
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
485 def test_VStackedDataSet(): |
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
486 print "test_VStackedDataSet" |
81
4b0859606d05
Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
66
diff
changeset
|
487 raise NotImplementedError() |
84
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
488 def test_ArrayFieldsDataSet(): |
aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
489 print "test_ArrayFieldsDataSet" |
81
4b0859606d05
Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
66
diff
changeset
|
490 raise NotImplementedError() |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
491 |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
492 |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
493 def test_speed(): |
d7250ee86f72
Added speed test for ArraDataSet
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parents:
202
diff
changeset
|
494 print "test_speed" |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
495 import time |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
496 a2 = numpy.random.rand(100000,400) |
230
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
497 ds = ArrayDataSet(a2,{'all':slice(0,a2.shape[1],1)}) |
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
498 mat = numpy.random.rand(400,100) |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
499 @print_timing |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
500 def f_array1(a): |
d7250ee86f72
Added speed test for ArraDataSet
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parents:
202
diff
changeset
|
501 a+1 |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
502 @print_timing |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
503 def f_array2(a): |
d7250ee86f72
Added speed test for ArraDataSet
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parents:
202
diff
changeset
|
504 for id in range(a.shape[0]): |
230
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
505 # pass |
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
506 a[id]+1 |
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
507 # a[id]*mat |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
508 @print_timing |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
509 def f_ds(ds): |
d7250ee86f72
Added speed test for ArraDataSet
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parents:
202
diff
changeset
|
510 for ex in ds: |
230
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
511 # pass |
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
512 ex[0]+1 |
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
513 # a[id]*mat |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
514 @print_timing |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
515 def f_ds_mb1(ds,mb_size): |
d7250ee86f72
Added speed test for ArraDataSet
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parents:
202
diff
changeset
|
516 for exs in ds.minibatches(minibatch_size = mb_size): |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
517 for ex in exs: |
230
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
518 # pass |
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
519 ex[0]+1 |
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
520 # ex[id]*mat |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
521 @print_timing |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
522 def f_ds_mb2(ds,mb_size): |
d7250ee86f72
Added speed test for ArraDataSet
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parents:
202
diff
changeset
|
523 for exs in ds.minibatches(minibatch_size = mb_size): |
230
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
524 # pass |
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
525 exs[0]+1 |
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
526 # ex[id]*mat |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
527 |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
528 f_array1(a2) |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
529 f_array2(a2) |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
530 |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
531 f_ds(ds) |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
532 |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
533 f_ds_mb1(ds,10) |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
534 f_ds_mb1(ds,100) |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
535 f_ds_mb1(ds,1000) |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
536 f_ds_mb1(ds,10000) |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
537 f_ds_mb2(ds,10) |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
538 f_ds_mb2(ds,100) |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
539 f_ds_mb2(ds,1000) |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
540 f_ds_mb2(ds,10000) |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
541 |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
542 del a2, ds |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
543 |
157
e8c8022582f4
only exec the test if we are the main
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
149
diff
changeset
|
544 if __name__=='__main__': |
e8c8022582f4
only exec the test if we are the main
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
149
diff
changeset
|
545 test1() |
e8c8022582f4
only exec the test if we are the main
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
149
diff
changeset
|
546 test_LookupList() |
e8c8022582f4
only exec the test if we are the main
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
149
diff
changeset
|
547 test_ArrayDataSet() |
158 | 548 test_CachedDataSet() |
202
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
549 test_ApplyFunctionDataSet() |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
550 #test_speed() |
122
d3c72e412065
removed datat that should not be commited
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
116
diff
changeset
|
551 #test pmat.py |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
552 |