Mercurial > pylearn
view test_dataset.py @ 84:aa9e786ee849
added function have_raised that evaluate the string in parameter and return true if the function have raised an exception
code cleanup and renaming
added a few test
author | Frederic Bastien <bastienf@iro.umontreal.ca> |
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date | Mon, 05 May 2008 11:49:40 -0400 |
parents | 158653a9bc7c |
children | fdf72ea4f2bc |
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#!/bin/env python from dataset import * from math import * import numpy def have_raised(to_eval): have_thrown = False try: eval(to_eval) except : have_thrown = True return have_thrown def test1(): print "test1" global a,ds a = numpy.random.rand(10,4) print a ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]}) print "len(ds)=",len(ds) assert(len(ds)==10) print "example 0 = ",ds[0] # assert print "x=",ds["x"] print "x|y" for x,y in ds("x","y"): print x,y minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4) minibatch = minibatch_iterator.__iter__().next() print "minibatch=",minibatch for var in minibatch: print "var=",var print "take a slice and look at field y",ds[1:6:2]["y"] def test_ArrayDataSet(): #don't test stream #tested only with float value #test with y too #test missing value print "test_ArrayDataSet" a = numpy.random.rand(10,4) ds = ArrayDataSet(a,{'x':slice(3),'y':3,'z':[0,2]}) assert len(ds)==10 #assert ds==a? should this work? for i in range(len(ds)): assert ds[i]['x'].all()==a[i][:2].all() assert ds[i]['y']==a[i][3] assert ds[i]['z'].all()==a[i][0:3:2].all() i=0 for x in ds('x','y'): assert numpy.append(x['x'],x['y']).all()==a[i].all() i+=1 i=0 for x,y in ds('x','y'): assert numpy.append(x,y).all()==a[i].all() i+=1 for minibatch in ds.minibatches(['x','z'], minibatch_size=3): assert minibatch[0][:,0:3:2].all()==minibatch[1].all() for x,z in ds.minibatches(['x','z'], minibatch_size=3): assert x[:,0:3:2].all()==z.all() # for minibatch in ds.minibatches(['z','y'], minibatch_size=3): # print minibatch # minibatch_iterator = ds.minibatches(fieldnames=['z','y'],n_batches=1,minibatch_size=3,offset=4) # minibatch = minibatch_iterator.__iter__().next() # print "minibatch=",minibatch # for var in minibatch: # print "var=",var # print "take a slice and look at field y",ds[1:6:2]["y"] assert have_raised("ds['h']") # h is not defined... assert have_raised("ds[['h']]") # h is not defined... assert len(ds.fields())==3 for field in ds.fields(): for field_value in field: # iterate over the values associated to that field for all the ds examples pass for field in ds('x','z').fields(): pass for field in ds.fields('x','y'): pass for field_examples in ds.fields(): for example_value in field_examples: pass assert ds == ds.fields().examples() #ds[:n] returns a dataset with the n first examples. assert len(ds[:3])==3 i=0 for x,z,y in ds[:3]('x','z','y'): assert ds[i]['x'].all()==a[i][:3].all() assert ds[i]['x'].all()==x.all() assert ds[i]['y']==a[i][3] assert ds[i]['y']==y assert ds[i]['z'].all()==a[i][0:3:2].all() assert ds[i]['z'].all()==z.all() i+=1 i=0 for x,z in ds[:3]('x','z'): assert ds[i]['z'].all()==a[i][0:3:2].all() i+=1 #ds[i1:i2:s]# returns a ds with the examples i1,i1+s,...i2-s. ds[1:7:2][1] assert len(ds[1:7:2])==3 # should be number example 1,3 and 5 i=0 index=[1,3,5] for z,y,x in ds[1:7:2]('z','y','x'): assert ds[index[i]]['x'].all()==a[index[i]][:3].all() assert ds[index[i]]['x'].all()==x.all() assert ds[index[i]]['y']==a[index[i]][3] assert ds[index[i]]['y']==y assert ds[index[i]]['z'].all()==a[index[i]][0:3:2].all() assert ds[index[i]]['z'].all()==z.all() i+=1 #ds[[i1,i2,...in]]# returns a ds with examples i1,i2,...in. i=0 for x in ds[[1,2]]: assert numpy.append(x['x'],x['y']).all()==a[i].all() i+=1 #ds[i1,i2,...]# should we accept???? #ds[fieldname]# an iterable over the values of the field fieldname across #the ds (the iterable is obtained by default by calling valuesVStack #over the values for individual examples). #ds.<property># returns the value of a property associated with #the name <property>. The following properties should be supported: # - 'description': a textual description or name for the ds # - 'fieldtypes': a list of types (one per field) #* ds1 | ds2 | ds3 == ds.hstack([ds1,ds2,ds3]) #* ds1 & ds2 & ds3 == ds.vstack([ds1,ds2,ds3]) # for (x,y) in (ds('x','y'),a): #don't work # haven't found a variant that work. # assert numpy.append(x,y)==z def test_LookupList(): #test only the example in the doc??? print "test_LookupList" example = LookupList(['x','y','z'],[1,2,3]) example['x'] = [1, 2, 3] # set or change a field x, y, z = example x = example[0] x = example["x"] assert example.keys()==['x','y','z'] assert example.values()==[[1,2,3],2,3] assert example.items()==[('x',[1,2,3]),('y',2),('z',3)] example.append_keyval('u',0) # adds item with name 'u' and value 0 assert len(example)==4 # number of items = 4 here example2 = LookupList(['v','w'], ['a','b']) example3 = LookupList(['x','y','z','u','v','w'], [[1, 2, 3],2,3,0,'a','b']) assert example+example2==example3 assert have_raised("example+example") def test_ApplyFunctionDataSet(): print "test_ApplyFunctionDataSet" raise NotImplementedError() def test_CacheDataSet(): print "test_CacheDataSet" raise NotImplementedError() def test_FieldsSubsetDataSet(): print "test_FieldsSubsetDataSet" raise NotImplementedError() def test_DataSetFields(): print "test_DataSetFields" raise NotImplementedError() def test_MinibatchDataSet(): print "test_MinibatchDataSet" raise NotImplementedError() def test_HStackedDataSet(): print "test_HStackedDataSet" raise NotImplementedError() def test_VStackedDataSet(): print "test_VStackedDataSet" raise NotImplementedError() def test_ArrayFieldsDataSet(): print "test_ArrayFieldsDataSet" raise NotImplementedError() test1() test_LookupList() test_ArrayDataSet()