Mercurial > pylearn
changeset 58:17729d7104fa
added function test_ArrayDataSet
author | Frederic Bastien <bastienf@iro.umontreal.ca> |
---|---|
date | Thu, 01 May 2008 16:17:10 -0400 |
parents | 70147d00615a |
children | ac9aff8d5743 |
files | test_dataset.py |
diffstat | 1 files changed, 60 insertions(+), 1 deletions(-) [+] |
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line diff
--- a/test_dataset.py Tue Apr 29 16:06:50 2008 -0400 +++ b/test_dataset.py Thu May 01 16:17:10 2008 -0400 @@ -23,4 +23,63 @@ print "var=",var print "take a slice and look at field y",ds[1:6:2]["y"] -test1() +def test_ArrayDataSet(): + #don't test stream + #tested only with float value + a = numpy.random.rand(10,4) + print a + 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() + print "x=",ds["x"] + print "x|y" + 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 in ds['x','y']: # don't work +# assert numpy.append(x['x'],x['y']).all()==a[i].all() +# i+=1 +# for (x,y) in (ds('x','y'),a): #don't work # haven't found a variant that work. +# assert numpy.append(x,y)==z + 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"] + have_thrown = False + try: + ds['h'] + except : + have_thrown = True + assert have_thrown == True + assert ds == ds.fields().examples() + 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(field1,field2): + pass + for field_examples in ds.fields(): + for example_value in field_examples: + pass +test_ArrayDataSet() +