def test_getattr(self):
# Test the
# Set up a fake dir structure to generate an aligned fixmat
img_per_cat = {1: range(1, 11), 2: range(1, 11)}
features = ['a', 'b']
path, ftrpath = test_loader.create_tmp_structure(img_per_cat,
features=features)
l = loader.LoadFromDisk(impath=path, ftrpath=ftrpath, size=(100, 100))
inp = stimuli.Categories(l, img_per_cat, features)
fm = fixmat.TestFixmatFactory(categories=[1, 2],
filenumbers=range(1, 11),
subjectindices=[1, 2, 3, 4, 5, 6],
params={
'pixels_per_degree': 10,
'image_size': [100, 100]
},
categories_obj=inp)
fm_err = fixmat.TestFixmatFactory(categories=[1, 2],
filenumbers=range(1, 11),
subjectindices=[1, 2, 3, 4, 5, 6],
params={
'pixels_per_degree': 10,
'image_size': [100, 100]
})
# Now let's check if we can access all the images
# and all the features.
fm.add_feature_values(['a', 'b'])
self.assertRaises(RuntimeError,
lambda: fm_err.add_feature_values(['a', 'b']))
for cat_mat, cat_inp in fm.by_cat():
self.assertEquals(cat_mat.category[0], cat_inp.category)
for img_mat, img_inp in cat_mat.by_filenumber():
self.assertEquals(img_mat.filenumber[0], img_inp.image)
self.assertEquals(len(fm.a), len(fm.x))
self.assertEquals(len(fm.b), len(fm.x))
# Let's also check if make_reg_data works
a, b = fm.make_reg_data(features)
self.assertEquals(a.shape[1], len(fm.x))
self.assertEquals(a.shape[0], len(features))
self.assertEquals(b.shape[1], len(fm.x))
self.assertEquals(b.shape[0], len(features))
self.assertEquals(b.sum(), a.sum())
a, b = fm.make_reg_data(features, all_controls=True)
self.assertEquals(a.shape[1], len(fm.x))
self.assertEquals(a.shape[0], len(features))
self.assertEquals(b.shape[1], len(fm.x))
self.assertEquals(b.shape[0], len(features))
self.assertEquals(b.sum(), a.sum())
test_loader.rm_tmp_structure(path)
test_loader.rm_tmp_structure(ftrpath)
def test_directory_stimuli_factory(self):
img_per_cat = {1: range(1, 11), 2: range(1, 11)}
features = ["a", "b"]
path, ftrpath = test_loader.create_tmp_structure(img_per_cat, features=features)
l = loader.LoadFromDisk(impath=path, ftrpath=ftrpath, size=(100, 100))
inp = stimuli.DirectoryStimuliFactory(l)
for cat in img_per_cat.keys():
inp[cat]
for img in img_per_cat[cat]:
inp[cat][img]
inp[cat][img]["a"]
inp[cat][img].data
test_loader.rm_tmp_structure(path)
test_loader.rm_tmp_structure(ftrpath)
def test_directory_stimuli_factory(self):
img_per_cat = {1: range(1, 11), 2: range(1, 11)}
features = ['a', 'b']
path, ftrpath = test_loader.create_tmp_structure(img_per_cat,
features=features)
l = loader.LoadFromDisk(impath=path, ftrpath=ftrpath, size=(100, 100))
inp = stimuli.DirectoryStimuliFactory(l)
for cat in img_per_cat.keys():
inp[cat]
for img in img_per_cat[cat]:
inp[cat][img]
inp[cat][img]['a']
inp[cat][img].data
test_loader.rm_tmp_structure(path)
test_loader.rm_tmp_structure(ftrpath)
def test_getattr(self):
# Test the
# Set up a fake dir structure to generate an aligned fixmat
img_per_cat = {1:range(1,11), 2:range(1,11)}
features = ['a', 'b']
path, ftrpath = test_loader.create_tmp_structure(img_per_cat, features = features)
l = loader.LoadFromDisk(impath = path,
ftrpath = ftrpath,
size = (100,100))
inp = stimuli.Categories(l, img_per_cat, features)
fm = fixmat.TestFixmatFactory(categories = [1,2],
filenumbers = range(1,11),
subjectindices = [1, 2, 3, 4, 5, 6],
params = {'pixels_per_degree':10, 'image_size':[100,100]},
categories_obj = inp)
fm_err = fixmat.TestFixmatFactory(categories = [1,2],
filenumbers = range(1,11),
subjectindices = [1, 2, 3, 4, 5, 6],
params = {'pixels_per_degree':10, 'image_size':[100,100]})
# Now let's check if we can access all the images
# and all the features.
fm.add_feature_values(['a', 'b'])
self.assertRaises(RuntimeError, lambda: fm_err.add_feature_values(['a', 'b']))
for cat_mat, cat_inp in fm.by_cat():
self.assertEquals(cat_mat.category[0], cat_inp.category)
for img_mat, img_inp in cat_mat.by_filenumber():
self.assertEquals(img_mat.filenumber[0], img_inp.image)
self.assertEquals(len(fm.a), len(fm.x))
self.assertEquals(len(fm.b), len(fm.x))
# Let's also check if make_reg_data works
a, b = fm.make_reg_data(features)
self.assertEquals(a.shape[1], len(fm.x))
self.assertEquals(a.shape[0], len(features))
self.assertEquals(b.shape[1], len(fm.x))
self.assertEquals(b.shape[0], len(features))
self.assertEquals(b.sum(), a.sum())
a, b = fm.make_reg_data(features, all_controls = True)
self.assertEquals(a.shape[1], len(fm.x))
self.assertEquals(a.shape[0], len(features))
self.assertEquals(b.shape[1], len(fm.x))
self.assertEquals(b.shape[0], len(features))
self.assertEquals(b.sum(), a.sum())
test_loader.rm_tmp_structure(path)
test_loader.rm_tmp_structure(ftrpath)
