Mercurial > pylearn
annotate test_dataset.py @ 90:a289b8bed64c
corrected comment
| author | Frederic Bastien <bastienf@iro.umontreal.ca> |
|---|---|
| date | Mon, 05 May 2008 17:13:07 -0400 |
| parents | 05dc4804357b |
| children | eee739fefdff |
| rev | line source |
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51
59757365a057
the script can be autorun
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1 #!/bin/env python |
| 45 | 2 from dataset import * |
| 3 from math import * | |
| 4 import numpy | |
| 5 | |
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6 def have_raised(to_eval): |
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7 have_thrown = False |
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8 try: |
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9 eval(to_eval) |
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10 except : |
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11 have_thrown = True |
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12 return have_thrown |
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13 |
| 45 | 14 def test1(): |
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15 print "test1" |
| 45 | 16 global a,ds |
| 17 a = numpy.random.rand(10,4) | |
| 18 print a | |
| 19 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]}) | |
| 20 print "len(ds)=",len(ds) | |
| 54 | 21 assert(len(ds)==10) |
| 45 | 22 print "example 0 = ",ds[0] |
| 54 | 23 # assert |
| 45 | 24 print "x=",ds["x"] |
| 25 print "x|y" | |
| 26 for x,y in ds("x","y"): | |
| 27 print x,y | |
| 28 minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4) | |
| 29 minibatch = minibatch_iterator.__iter__().next() | |
| 30 print "minibatch=",minibatch | |
| 31 for var in minibatch: | |
| 32 print "var=",var | |
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33 print "take a slice and look at field y",ds[1:6:2]["y"] |
| 45 | 34 |
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35 def test_ArrayDataSet(): |
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36 #don't test stream |
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37 #tested only with float value |
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38 #test with y too |
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39 #test missing value |
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40 |
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41 print "test_ArrayDataSet" |
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42 a = numpy.random.rand(10,4) |
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43 ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]})###???tuple not tested |
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44 |
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45 assert len(ds)==10 |
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46 #assert ds==a? should this work? |
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47 |
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48 #not in doc!!! |
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49 for example in range(len(ds)): |
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50 assert ds[example]['x'].all()==a[example][:2].all() |
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51 assert ds[example]['y']==a[example][3] |
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52 assert ds[example]['z'].all()==a[example][0:3:2].all() |
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53 # - for example in dataset:: |
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54 i=0 |
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55 for example in ds: |
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56 assert example['x'].all()==a[i][:2].all() |
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57 assert example['y']==a[i][3] |
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58 assert example['z'].all()==a[i][0:3:2].all() |
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59 assert numpy.append(example['x'],example['y']).all()==a[i].all() |
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60 i+=1 |
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61 assert i==len(ds) |
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62 |
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63 def test_ds_iterator(iterator1,iterator2,iterator3): |
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64 i=0 |
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65 for x,y in iterator1: |
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66 assert x.all()==a[i][:2].all() |
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67 assert y==a[i][3] |
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68 assert numpy.append(x,y).all()==a[i].all() |
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69 i+=1 |
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70 assert i==len(ds) |
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71 i=0 |
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72 for y,z in iterator2: |
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73 assert y==a[i][3] |
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74 assert z.all()==a[i][0:3:2].all() |
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75 i+=1 |
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76 assert i==len(ds) |
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77 i=0 |
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78 for x,y,z in iterator3: |
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79 assert x.all()==a[i][:2].all() |
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80 assert y==a[i][3] |
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81 assert z.all()==a[i][0:3:2].all() |
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82 assert numpy.append(x,y).all()==a[i].all() |
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83 i+=1 |
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84 assert i==len(ds) |
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81
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85 |
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86 #not in doc!!! - for val1,val2,val3 in dataset(field1, field2,field3): |
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87 test_ds_iterator(ds('x','y'),ds('y','z'),ds('x','y','z')) |
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88 |
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89 #not in doc!!! - for val1,val2,val3 in dataset((field1, field2,field3)): |
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90 test_ds_iterator(ds(('x','y')),ds(('y','z')),ds(('x','y','z'))) |
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91 |
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92 # - for val1,val2,val3 in dataset([field1, field2,field3]): #was bugged |
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93 test_ds_iterator(ds(['x','y']),ds(['y','z']),ds(['x','y','z'])) |
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94 |
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95 # - for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N): |
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96 for minibatch in ds.minibatches(['x','z'], minibatch_size=3): |
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97 assert len(minibatch)==2 |
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98 assert len(minibatch[0])==3 |
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99 assert len(minibatch[1])==3 |
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100 assert minibatch[0][:,0:3:2].all()==minibatch[1].all() |
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101 i=0 |
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102 for minibatch in ds.minibatches(['x','y'], minibatch_size=3): |
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103 assert len(minibatch)==2 |
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104 assert len(minibatch[0])==3 |
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105 assert len(minibatch[1])==3 |
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106 for id in range(3): |
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107 assert numpy.append(minibatch[0][id],minibatch[1][id]).all()==a[i].all() |
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108 i+=1 |
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109 |
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110 # - for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N): |
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111 for x,z in ds.minibatches(['x','z'], minibatch_size=3): |
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112 assert len(x)==3 |
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113 assert len(z)==3 |
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114 assert x[:,0:3:2].all()==z.all() |
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115 i=0 |
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116 for x,y in ds.minibatches(['x','y'], minibatch_size=3): |
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117 assert len(x)==3 |
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118 assert len(y)==3 |
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119 for id in range(3): |
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120 assert numpy.append(minibatch[0][id],minibatch[1][id]).all()==a[i].all() |
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121 i+=1 |
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122 # - for x,y,z in dataset: # fail x,y,z order not fixed as it is a dict. |
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123 # for x,y,z in ds: |
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124 # assert x.all()==a[i][:2].all() |
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125 # assert y==a[i][3] |
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126 # assert z.all()==a[i][0:3:2].all() |
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127 # assert numpy.append(x,y).all()==a[i].all() |
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128 # i+=1 |
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129 |
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130 # for minibatch in ds.minibatches(['z','y'], minibatch_size=3): |
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131 # print minibatch |
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132 # minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4) |
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133 # minibatch = minibatch_iterator.__iter__().next() |
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134 # print "minibatch=",minibatch |
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135 # for var in minibatch: |
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136 # print "var=",var |
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137 # print "take a slice and look at field y",ds[1:6:2]["y"] |
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138 assert have_raised("ds['h']") # h is not defined... |
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139 assert have_raised("ds[['h']]") # h is not defined... |
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140 |
| 63 | 141 assert len(ds.fields())==3 |
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142 for field in ds.fields(): |
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143 for field_value in field: # iterate over the values associated to that field for all the ds examples |
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144 pass |
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145 for field in ds('x','z').fields(): |
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146 pass |
| 60 | 147 for field in ds.fields('x','y'): |
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148 pass |
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149 for field_examples in ds.fields(): |
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150 for example_value in field_examples: |
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151 pass |
| 63 | 152 |
| 153 assert ds == ds.fields().examples() | |
| 154 | |
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155 def test_ds(orig,ds,index): |
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156 i=0 |
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157 assert len(ds)==len(index) |
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158 for x,z,y in ds('x','z','y'): |
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159 assert orig[index[i]]['x'].all()==a[index[i]][:3].all() |
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160 assert orig[index[i]]['x'].all()==x.all() |
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161 assert orig[index[i]]['y']==a[index[i]][3] |
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162 assert orig[index[i]]['y']==y |
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163 assert orig[index[i]]['z'].all()==a[index[i]][0:3:2].all() |
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164 assert orig[index[i]]['z'].all()==z.all() |
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165 i+=1 |
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166 del i |
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167 ds[0] |
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168 if len(ds)>2: |
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169 ds[:1] |
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170 ds[1:1] |
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171 ds[1:1:1] |
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172 if len(ds)>5: |
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173 ds[[1,2,3]] |
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174 for x in ds: |
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175 pass |
| 63 | 176 |
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177 #ds[:n] returns a dataset with the n first examples. |
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178 ds2=ds[:3] |
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179 test_ds(ds,ds2,index=[0,1,2]) |
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180 |
| 63 | 181 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s. |
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182 ds2=ds[1:7:2] |
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183 test_ds(ds,ds2,[1,3,5]) |
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184 |
| 63 | 185 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in. |
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186 ds2=ds[[4,7,2,8]] |
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187 test_ds(ds,ds2,[4,7,2,8]) |
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188 #ds[i1,i2,...]# should we accept???? |
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189 |
| 63 | 190 #ds[fieldname]# an iterable over the values of the field fieldname across |
| 191 #the ds (the iterable is obtained by default by calling valuesVStack | |
| 192 #over the values for individual examples). | |
| 193 | |
| 194 #ds.<property># returns the value of a property associated with | |
| 195 #the name <property>. The following properties should be supported: | |
| 196 # - 'description': a textual description or name for the ds | |
| 197 # - 'fieldtypes': a list of types (one per field) | |
| 198 #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3]) | |
| 199 #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3]) | |
| 200 | |
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201 # for (x,y) in (ds('x','y'),a): #don't work # haven't found a variant that work. |
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202 # assert numpy.append(x,y)==z |
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203 |
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204 def test_LookupList(): |
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205 #test only the example in the doc??? |
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206 print "test_LookupList" |
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207 example = LookupList(['x','y','z'],[1,2,3]) |
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208 example['x'] = [1, 2, 3] # set or change a field |
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209 x, y, z = example |
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210 x = example[0] |
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211 x = example["x"] |
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212 assert example.keys()==['x','y','z'] |
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213 assert example.values()==[[1,2,3],2,3] |
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214 assert example.items()==[('x',[1,2,3]),('y',2),('z',3)] |
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215 example.append_keyval('u',0) # adds item with name 'u' and value 0 |
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216 assert len(example)==4 # number of items = 4 here |
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217 example2 = LookupList(['v','w'], ['a','b']) |
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218 example3 = LookupList(['x','y','z','u','v','w'], [[1, 2, 3],2,3,0,'a','b']) |
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219 assert example+example2==example3 |
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220 assert have_raised("example+example") |
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221 |
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222 def test_ApplyFunctionDataSet(): |
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223 print "test_ApplyFunctionDataSet" |
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224 raise NotImplementedError() |
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225 def test_CacheDataSet(): |
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226 print "test_CacheDataSet" |
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227 raise NotImplementedError() |
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228 def test_FieldsSubsetDataSet(): |
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229 print "test_FieldsSubsetDataSet" |
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230 raise NotImplementedError() |
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231 def test_DataSetFields(): |
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232 print "test_DataSetFields" |
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233 raise NotImplementedError() |
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234 def test_MinibatchDataSet(): |
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235 print "test_MinibatchDataSet" |
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236 raise NotImplementedError() |
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237 def test_HStackedDataSet(): |
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238 print "test_HStackedDataSet" |
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239 raise NotImplementedError() |
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240 def test_VStackedDataSet(): |
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241 print "test_VStackedDataSet" |
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242 raise NotImplementedError() |
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243 def test_ArrayFieldsDataSet(): |
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244 print "test_ArrayFieldsDataSet" |
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245 raise NotImplementedError() |
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246 |
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b4159cbdc06b
Fixed errors raised by test_dataset
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
66
diff
changeset
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247 test1() |
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81
4b0859606d05
Added test for ArrayDataSet and LookUpList
Frederic Bastien <bastienf@iro.umontreal.ca>
parents:
66
diff
changeset
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248 test_LookupList() |
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65
d48eba49a2f4
fixed the infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
64
diff
changeset
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249 test_ArrayDataSet() |
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64
863da25a60f1
trying to fix infinite loop
Yoshua Bengio <bengioy@iro.umontreal.ca>
parents:
63
diff
changeset
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250 |