Mercurial > pylearn
annotate test_dataset.py @ 265:ae0a8345869b
commented junk in the default test (main function) of mlp_factory_approach so the test still works
author | Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca> |
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date | Wed, 04 Jun 2008 17:34:01 -0400 |
parents | 2b91638a11d3 |
children | 6e69fb91f3c0 |
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 | |
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 | |
48
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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 |
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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 |
240
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229 #@todo: we can't do minibatch bigger then the size of the dataset??? |
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230 assert have_raised2(ds.minibatches,['x','y'],n_batches=1,minibatch_size=len(array)+1,offset=0) |
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231 assert not have_raised2(ds.minibatches,['x','y'],n_batches=1,minibatch_size=len(array),offset=0) |
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232 |
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233 def test_ds_iterator(array,iterator1,iterator2,iterator3): |
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234 l=len(iterator1) |
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235 i=0 |
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236 for x,y in iterator1: |
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237 assert (x==array[i][:3]).all() |
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238 assert y==array[i][3] |
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239 assert (numpy.append(x,y)==array[i]).all() |
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240 i+=1 |
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241 assert i==l |
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242 i=0 |
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243 for y,z in iterator2: |
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244 assert y==array[i][3] |
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245 assert (z==array[i][0:3:2]).all() |
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246 i+=1 |
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247 assert i==l |
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248 i=0 |
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249 for x,y,z in iterator3: |
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250 assert (x==array[i][:3]).all() |
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251 assert y==array[i][3] |
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252 assert (z==array[i][0:3:2]).all() |
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253 assert (numpy.append(x,y)==array[i]).all() |
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254 i+=1 |
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255 assert i==l |
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256 |
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257 def test_getitem(array,ds): |
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258 def test_ds(orig,ds,index): |
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259 i=0 |
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260 assert len(ds)==len(index) |
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261 for x,z,y in ds('x','z','y'): |
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262 assert (orig[index[i]]['x']==array[index[i]][:3]).all() |
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263 assert (orig[index[i]]['x']==x).all() |
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264 assert orig[index[i]]['y']==array[index[i]][3] |
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265 assert orig[index[i]]['y']==y |
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266 assert (orig[index[i]]['z']==array[index[i]][0:3:2]).all() |
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267 assert (orig[index[i]]['z']==z).all() |
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268 i+=1 |
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269 del i |
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270 ds[0] |
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271 if len(ds)>2: |
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272 ds[:1] |
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273 ds[1:1] |
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274 ds[1:1:1] |
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275 if len(ds)>5: |
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276 ds[[1,2,3]] |
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277 for x in ds: |
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278 pass |
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279 |
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280 #ds[:n] returns a dataset with the n first examples. |
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281 ds2=ds[:3] |
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282 assert isinstance(ds2,DataSet) |
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283 test_ds(ds,ds2,index=[0,1,2]) |
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284 del ds2 |
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285 |
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286 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s. |
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287 ds2=ds[1:7:2] |
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288 assert isinstance(ds2,DataSet) |
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289 test_ds(ds,ds2,[1,3,5]) |
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290 del ds2 |
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291 |
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292 #ds[i] |
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293 ds2=ds[5] |
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294 assert isinstance(ds2,Example) |
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295 assert have_raised("var['ds']["+str(len(ds))+"]",ds=ds) # index not defined |
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296 assert not have_raised("var['ds']["+str(len(ds)-1)+"]",ds=ds) |
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297 del ds2 |
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298 |
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299 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in. |
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300 ds2=ds[[4,7,2,8]] |
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301 assert isinstance(ds2,DataSet) |
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302 test_ds(ds,ds2,[4,7,2,8]) |
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303 del ds2 |
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304 |
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305 #ds[fieldname]# an iterable over the values of the field fieldname across |
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306 #the ds (the iterable is obtained by default by calling valuesVStack |
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307 #over the values for individual examples). |
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308 assert have_raised("ds['h']") # h is not defined... |
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309 assert have_raised("ds[['x']]") # bad syntax |
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310 assert not have_raised("var['ds']['x']",ds=ds) |
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311 isinstance(ds['x'],DataSetFields) |
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312 ds2=ds['x'] |
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313 assert len(ds['x'])==10 |
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314 assert len(ds['y'])==10 |
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315 assert len(ds['z'])==10 |
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316 i=0 |
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317 for example in ds['x']: |
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318 assert (example==array[i][:3]).all() |
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319 i+=1 |
168 | 320 assert i==len(ds) |
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321 i=0 |
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322 for example in ds['y']: |
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323 assert (example==array[i][3]).all() |
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324 i+=1 |
168 | 325 assert i==len(ds) |
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326 i=0 |
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327 for example in ds['z']: |
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328 assert (example==array[i,0:3:2]).all() |
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329 i+=1 |
168 | 330 assert i==len(ds) |
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331 del ds2,i |
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332 |
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333 #ds.<property># returns the value of a property associated with |
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334 #the name <property>. The following properties should be supported: |
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335 # - 'description': a textual description or name for the ds |
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336 # - 'fieldtypes': a list of types (one per field) |
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337 |
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338 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3])#???? |
173 | 339 #assert hstack([ds('x','y'),ds('z')])==ds |
340 #hstack([ds('z','y'),ds('x')])==ds | |
341 assert have_raised2(hstack,[ds('x'),ds('x')]) | |
342 assert have_raised2(hstack,[ds('y','x'),ds('x')]) | |
343 assert not have_raised2(hstack,[ds('x'),ds('y')]) | |
344 | |
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345 # i=0 |
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346 # for example in hstack([ds('x'),ds('y'),ds('z')]): |
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347 # example==ds[i] |
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348 # i+=1 |
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349 # del i,example |
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350 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3])#???? |
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351 |
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352 def test_fields_fct(ds): |
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353 #@todo, fill correctly |
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354 assert len(ds.fields())==3 |
168 | 355 i=0 |
356 v=0 | |
165
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357 for field in ds.fields(): |
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358 for field_value in field: # iterate over the values associated to that field for all the ds examples |
168 | 359 v+=1 |
360 i+=1 | |
361 assert i==3 | |
362 assert v==3*10 | |
363 del i,v | |
364 | |
365 i=0 | |
366 v=0 | |
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367 for field in ds('x','z').fields(): |
168 | 368 i+=1 |
369 for val in field: | |
370 v+=1 | |
371 assert i==2 | |
372 assert v==2*10 | |
373 del i,v | |
374 | |
375 i=0 | |
376 v=0 | |
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377 for field in ds.fields('x','y'): |
168 | 378 i+=1 |
379 for val in field: | |
380 v+=1 | |
381 assert i==2 | |
382 assert v==2*10 | |
383 del i,v | |
384 | |
385 i=0 | |
386 v=0 | |
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387 for field_examples in ds.fields(): |
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388 for example_value in field_examples: |
168 | 389 v+=1 |
390 i+=1 | |
391 assert i==3 | |
392 assert v==3*10 | |
393 del i,v | |
394 | |
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395 assert ds == ds.fields().examples() |
168 | 396 assert len(ds('x','y').fields()) == 2 |
397 assert len(ds('x','z').fields()) == 2 | |
398 assert len(ds('y').fields()) == 1 | |
165
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399 |
168 | 400 del field |
194
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401 def test_all(array,ds): |
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402 assert len(ds)==10 |
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403 |
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404 test_iterate_over_examples(array, ds) |
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405 test_getitem(array, ds) |
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small refactoring
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diff
changeset
|
406 test_ds_iterator(array,ds('x','y'),ds('y','z'),ds('x','y','z')) |
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small refactoring
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diff
changeset
|
407 test_fields_fct(ds) |
145
933db7ece663
make some function global to reuse them to test other dataset
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diff
changeset
|
408 |
58
17729d7104fa
added function test_ArrayDataSet
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parents:
54
diff
changeset
|
409 def test_ArrayDataSet(): |
17729d7104fa
added function test_ArrayDataSet
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parents:
54
diff
changeset
|
410 #don't test stream |
17729d7104fa
added function test_ArrayDataSet
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parents:
54
diff
changeset
|
411 #tested only with float value |
106 | 412 #don't always test with y |
413 #don't test missing value | |
414 #don't test with tuple | |
415 #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
|
416 print "test_ArrayDataSet" |
145
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diff
changeset
|
417 a2 = numpy.random.rand(10,4) |
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diff
changeset
|
418 ds = ArrayDataSet(a2,{'x':slice(3),'y':3,'z':[0,2]})###???tuple not tested |
933db7ece663
make some function global to reuse them to test other dataset
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diff
changeset
|
419 ds = ArrayDataSet(a2,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
58
17729d7104fa
added function test_ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
54
diff
changeset
|
420 #assert ds==a? should this work? |
100
574f4db76022
restructuring and added test
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
96
diff
changeset
|
421 |
194
0040ba0f0666
small refactoring
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173
diff
changeset
|
422 test_all(a2,ds) |
169
051e07807554
added test for CachedDataSet(ds,cache_all_upon_construction=True)
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
168
diff
changeset
|
423 |
165
2a12e7437c56
small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
164
diff
changeset
|
424 del a2, ds |
81
4b0859606d05
Added test for ArrayDataSet and LookUpList
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66
diff
changeset
|
425 |
4b0859606d05
Added test for ArrayDataSet and LookUpList
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diff
changeset
|
426 def test_LookupList(): |
4b0859606d05
Added test for ArrayDataSet and LookUpList
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66
diff
changeset
|
427 #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:
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diff
changeset
|
428 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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diff
changeset
|
429 example = LookupList(['x','y','z'],[1,2,3]) |
aa9e786ee849
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diff
changeset
|
430 example['x'] = [1, 2, 3] # set or change a field |
aa9e786ee849
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diff
changeset
|
431 x, y, z = example |
aa9e786ee849
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diff
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|
432 x = example[0] |
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diff
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|
433 x = example["x"] |
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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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82
diff
changeset
|
434 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
|
435 assert example.values()==[[1,2,3],2,3] |
aa9e786ee849
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diff
changeset
|
436 assert example.items()==[('x',[1,2,3]),('y',2),('z',3)] |
aa9e786ee849
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parents:
82
diff
changeset
|
437 example.append_keyval('u',0) # adds item with name 'u' and value 0 |
aa9e786ee849
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82
diff
changeset
|
438 assert len(example)==4 # number of items = 4 here |
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
|
439 example2 = LookupList(['v','w'], ['a','b']) |
aa9e786ee849
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parents:
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diff
changeset
|
440 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
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
82
diff
changeset
|
441 assert example+example2==example3 |
145
933db7ece663
make some function global to reuse them to test other dataset
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139
diff
changeset
|
442 assert have_raised("var['x']+var['x']",x=example) |
81
4b0859606d05
Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
66
diff
changeset
|
443 |
165
2a12e7437c56
small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
164
diff
changeset
|
444 del example, example2, example3, x, y ,z |
2a12e7437c56
small refactoring
Frederic Bastien <bastienf@iro.umontreal.ca>
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164
diff
changeset
|
445 |
158 | 446 def test_CachedDataSet(): |
148
a5329e719229
added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
145
diff
changeset
|
447 print "test_CacheDataSet" |
169
051e07807554
added test for CachedDataSet(ds,cache_all_upon_construction=True)
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
168
diff
changeset
|
448 a = numpy.random.rand(10,4) |
051e07807554
added test for CachedDataSet(ds,cache_all_upon_construction=True)
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parents:
168
diff
changeset
|
449 ds1 = ArrayDataSet(a,LookupList(['x','y','z'],[slice(3),3,[0,2]]))###???tuple not tested |
148
a5329e719229
added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
145
diff
changeset
|
450 ds2 = CachedDataSet(ds1) |
a5329e719229
added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
145
diff
changeset
|
451 ds3 = CachedDataSet(ds1,cache_all_upon_construction=True) |
a5329e719229
added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
145
diff
changeset
|
452 |
195 | 453 test_all(a,ds2) |
454 test_all(a,ds3) | |
169
051e07807554
added test for CachedDataSet(ds,cache_all_upon_construction=True)
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
168
diff
changeset
|
455 |
051e07807554
added test for CachedDataSet(ds,cache_all_upon_construction=True)
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
168
diff
changeset
|
456 del a,ds1,ds2,ds3 |
148
a5329e719229
added test for CachedDataSet
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parents:
145
diff
changeset
|
457 |
a5329e719229
added test for CachedDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
145
diff
changeset
|
458 |
161
60e00cce3492
bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
158
diff
changeset
|
459 def test_DataSetFields(): |
60e00cce3492
bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
158
diff
changeset
|
460 print "test_DataSetFields" |
60e00cce3492
bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
158
diff
changeset
|
461 raise NotImplementedError() |
60e00cce3492
bugfix test in case it is not an ArrayDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
158
diff
changeset
|
462 |
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
|
463 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
|
464 print "test_ApplyFunctionDataSet" |
202
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
465 a = numpy.random.rand(10,4) |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
466 a2 = a+1 |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
467 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
|
468 |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
469 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
|
470 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
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
471 ['x','y','z'], |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
472 minibatch_mode=True) |
202
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 test_all(a2,ds2) |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
475 test_all(a2,ds3) |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
476 |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
477 del a,ds1,ds2,ds3 |
b9950ae5e54b
Added test for ApplyFunctionDataset
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
195
diff
changeset
|
478 |
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_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
|
480 print "test_FieldsSubsetDataSet" |
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_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
|
483 print "test_MinibatchDataSet" |
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_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
|
486 print "test_HStackedDataSet" |
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_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
|
489 print "test_VStackedDataSet" |
81
4b0859606d05
Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
66
diff
changeset
|
490 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
|
491 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
|
492 print "test_ArrayFieldsDataSet" |
81
4b0859606d05
Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
66
diff
changeset
|
493 raise NotImplementedError() |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
494 |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
495 |
250
474be3d12c23
make test_speed generic
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
246
diff
changeset
|
496 def test_speed(array, ds): |
474be3d12c23
make test_speed generic
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parents:
246
diff
changeset
|
497 print "test_speed", ds.__class__ |
474be3d12c23
make test_speed generic
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parents:
246
diff
changeset
|
498 |
230
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
499 mat = numpy.random.rand(400,100) |
250
474be3d12c23
make test_speed generic
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
246
diff
changeset
|
500 |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
501 @print_timing |
246
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
502 def f_array_full(a): |
229
d7250ee86f72
Added speed test for ArraDataSet
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parents:
202
diff
changeset
|
503 a+1 |
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
504 @print_timing |
246
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
505 def f_array_index(a): |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
506 for id in range(a.shape[0]): |
230
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
507 # pass |
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
508 a[id]+1 |
4d1bd2513e06
more test speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
229
diff
changeset
|
509 # a[id]*mat |
229
d7250ee86f72
Added speed test for ArraDataSet
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
202
diff
changeset
|
510 @print_timing |
246
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
511 def f_array_iter(a): |
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
512 for r in a: |
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
513 # pass |
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
514 r+1 |
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
515 # r*mat |
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
516 @print_timing |
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
517 def f_ds_index(ds): |
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
518 for id in range(len(ds)): |
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
519 # pass |
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
520 ds[id][0]+1 |
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
521 # ds[id][0]*mat |
0fb75fdd727d
better function name in test_speed
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
240
diff
changeset
|
522 @print_timing |
0fb75fdd727d
better function name in test_speed
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523 def f_ds_iter(ds): |
229
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parents:
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diff
changeset
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524 for ex in ds: |
230
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525 # pass |
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526 ex[0]+1 |
246
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527 # a[0]*mat |
229
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diff
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528 @print_timing |
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529 def f_ds_mb1(ds,mb_size): |
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530 for exs in ds.minibatches(minibatch_size = mb_size): |
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diff
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|
531 for ex in exs: |
230
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diff
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532 # pass |
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533 ex[0]+1 |
246
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534 # ex[0]*mat |
229
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535 @print_timing |
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536 def f_ds_mb2(ds,mb_size): |
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537 for exs in ds.minibatches(minibatch_size = mb_size): |
230
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parents:
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diff
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|
538 # pass |
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|
539 exs[0]+1 |
246
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540 # ex[0]*mat |
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541 |
250
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542 f_array_full(array) |
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|
543 f_array_index(array) |
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|
544 f_array_iter(array) |
229
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545 |
246
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|
546 f_ds_index(ds) |
255
bf0a1ebc6e52
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diff
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|
547 f_ds_index(ds) |
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diff
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|
548 f_ds_iter(ds) |
246
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549 f_ds_iter(ds) |
229
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|
550 |
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diff
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551 f_ds_mb1(ds,10) |
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552 f_ds_mb1(ds,100) |
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|
553 f_ds_mb1(ds,1000) |
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parents:
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diff
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|
554 f_ds_mb1(ds,10000) |
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parents:
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diff
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|
555 f_ds_mb2(ds,10) |
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diff
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|
556 f_ds_mb2(ds,100) |
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|
557 f_ds_mb2(ds,1000) |
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|
558 f_ds_mb2(ds,10000) |
d7250ee86f72
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diff
changeset
|
559 |
d7250ee86f72
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diff
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|
560 |
259
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561 |
621faba17c60
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diff
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562 |
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|
563 |
621faba17c60
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564 |
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created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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565 #**************************************************************** |
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created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
566 # dummy tests, less powerful than the previous tests, but can work with any new weird dataset. |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
567 # Basically, emphasis is put on consistency, but it never checks the actual values. |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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568 # To be used as a checklist, or a first test, when creating a new dataset |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
569 |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
570 def dummytest_all(ds) : |
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571 """ Launches all the dummytests with a given dataset. """ |
621faba17c60
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|
572 |
260
792f81d65f82
small debugging with dummytests
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259
diff
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|
573 dummytest1_basicstats(ds) |
792f81d65f82
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diff
changeset
|
574 dummytest2_slicing(ds) |
792f81d65f82
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259
diff
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|
575 dummytest3_fields_iterator_consistency(ds) |
259
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created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
changeset
|
576 |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
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|
577 |
261
2b91638a11d3
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parents:
260
diff
changeset
|
578 def dummytest1_basicstats(ds) : |
259
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
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|
579 """print basics stats on a dataset, like length""" |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
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|
580 |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
581 print 'len(ds) = ',len(ds) |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
582 print 'num fields = ', len(ds.fieldNames()) |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
583 print 'types of field: ', |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
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|
584 for k in ds.fieldNames() : |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
585 print type(ds[0](k)[0]), |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
changeset
|
586 print '' |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents:
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diff
changeset
|
587 |
261
2b91638a11d3
small debugging with dummytests
Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
parents:
260
diff
changeset
|
588 def dummytest2_slicing(ds) : |
2b91638a11d3
small debugging with dummytests
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parents:
260
diff
changeset
|
589 """test if slicing seems to works properly""" |
259
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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parents:
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diff
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|
590 print 'testing slicing...', |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
changeset
|
591 sys.stdout.flush() |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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parents:
255
diff
changeset
|
592 |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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parents:
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diff
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|
593 middle = len(ds) / 2 |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
changeset
|
594 tenpercent = int(len(ds) * .1) |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
changeset
|
595 set1 = ds[:middle+tenpercent] |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
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|
596 set2 = ds[middle-tenpercent:] |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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changeset
|
597 for k in range(tenpercent + tenpercent -1): |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
598 for k2 in ds.fieldNames() : |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
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|
599 if type(set1[middle-tenpercent+k](k2)[0]) == N.ndarray : |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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parents:
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diff
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|
600 for k3 in range(len(set1[middle-tenpercent+k](k2)[0])) : |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
601 assert set1[middle-tenpercent+k](k2)[0][k3] == set2[k](k2)[0][k3] |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
602 else : |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
603 assert set1[middle-tenpercent+k](k2)[0] == set2[k](k2)[0] |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
changeset
|
604 assert tenpercent > 1 |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
605 set3 = ds[middle-tenpercent:middle+tenpercent:2] |
621faba17c60
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|
606 for k2 in ds.fieldNames() : |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
607 if type(set2[2](k2)[0]) == N.ndarray : |
621faba17c60
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|
608 for k3 in range(len(set2[2](k2)[0])) : |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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609 assert set2[2](k2)[0][k3] == set3[1](k2)[0][k3] |
621faba17c60
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|
610 else : |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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611 assert set2[2](k2)[0] == set3[1](k2)[0] |
621faba17c60
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|
612 |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
613 print 'done' |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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|
614 |
621faba17c60
created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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diff
changeset
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615 |
261
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616 def dummytest3_fields_iterator_consistency(ds) : |
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617 """test if the number of iterator corresponds to the number of fields, also do it for minibatches""" |
259
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618 print 'testing fields/iterator consistency...', |
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619 sys.stdout.flush() |
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620 |
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621 # basic test |
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622 maxsize = min(len(ds)-1,100) |
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623 for iter in ds[:maxsize] : |
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624 assert len(iter) == len(ds.fieldNames()) |
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625 if len(ds.fieldNames()) == 1 : |
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626 print 'done' |
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627 return |
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created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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628 |
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629 # with minibatches iterator |
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630 ds2 = ds[:maxsize].minibatches([ds.fieldNames()[0],ds.fieldNames()[1]],minibatch_size=2) |
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631 for iter in ds2 : |
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632 assert len(iter) == 2 |
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633 |
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634 print 'done' |
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635 |
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created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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636 |
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637 |
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created 'dummytests', tests that checks consistency of new weird datasets, where we can't compare with actual values in a matrix, for instance. Useful as a first debugging when creating a dataset
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638 |
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639 |
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640 |
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641 |
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642 |
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643 |
157
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644 if __name__=='__main__': |
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645 test1() |
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646 test_LookupList() |
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647 test_ArrayDataSet() |
158 | 648 test_CachedDataSet() |
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649 test_ApplyFunctionDataSet() |
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650 #test_speed() |
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651 #test pmat.py |
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652 |