def test_raise_on_empty(self):
Features(self.feat)
empty1 = self.feat
empty1.append(np.array([]))
empty2 = [np.array([])]*3
for arg in [empty1, empty2]:
assert_raise(Features, arg, 'all features must be non-empty')
def test_on_empty_group(self):
group = self.h5file.create_group('group')
assert_raise(self.items.is_appendable_to, group,
"open object", KeyError)
# Create an empty items group
self.items.create_dataset(group, 10)
assert self.items.is_appendable_to(group)
def test_on_empty_group(self):
group = self.h5file.create_group('group')
assert_raise(self.items.is_appendable_to, group, "open object",
KeyError)
# Create an empty items group
self.items.create_dataset(group, 10)
_items = copy.deepcopy(self.items.data)
assert self.items.is_appendable_to(group)
assert _items == self.items.data
def test_sort_1D(self):
l = [np.array([i for i in range(9)])]
Labels.check(l)
l[0][[0, 1]] = l[0][[1, 0]]
assert_raise(Labels.check, l, 'not sorted')
l.append(np.array([i for i in range(9)]))
assert_raise(Labels.check, l, 'not sorted')
l[0][[1, 0]] = l[0][[0, 1]]
Labels.check(l)
def test_sorted_2D(self):
# dont use generate.labels to ensure 2 elements.
l = [
np.array([[0., 1.], [0.33333333, 1.33333333],
[0.66666667, 1.66666667], [1., 2.]]),
np.array([[0., 1.], [1., 2.]])
]
# sorted, pass
Labels.check(l)
# unsorted, fails
l[0][[0, 1], :] = l[0][[1, 0], :]
assert_raise(Labels.check, l, 'not sorted')
def test_bad(self):
args = [[1, 1], [1, 2, 2], ['a', 'b', 'c', 'a']]
msg = 'all items must have different names.'
for arg in args:
assert_raise(Items, arg, msg)
def test_bad_dims(self):
for arg in [self.t1+self.t2,
self.t2+self.t1,
self.t2+[np.array([1, 2, 3])]]:
assert_raise(self.parse, arg, 'dimensions must be equal')
def test_bad_format(self):
# 3D
assert_raise(self.parse, [randn(2, 2, 2)], 'must be 1 or 2')
def test_bad(self):
args = [[1, 1], [1, 2, 2], ['a', 'b', 'c', 'a']]
msg = 'all items must have different names.'
for arg in args:
assert_raise(Items, arg, msg)
def test_not_hdf5_file(self):
with open(self.filename, 'w') as temp:
temp.write('This is not a HDF5 file')
assert_raise(Writer, self.filename, 'not a HDF5 file')
def test_bad_format(self):
# 3D
assert_raise(Labels.check, [randn(2, 2, 2)], 'must be 1 or 2')
def test_bad(self):
bad = self.data[2] + self.data[3]
assert_raise(parse_dim, bad, 'must have the same')
def test_not_iterable(self):
args = [self.data.append(np.array([])), 1]
for arg in args:
assert_raise(parse_dtype, arg, '', TypeError)
def test_bad(self):
arg = self.data
arg[0] = arg[0].astype(int)
assert_raise(parse_dtype, arg, 'homogeneous')
def test_dim_bad(self):
bad_feat = self.feat
bad_feat[5] = bad_feat[5][:,:-1]
assert_raise(parse_dim, bad_feat, 'same feature dimension')
def test_bad_dims(self):
for arg in [
self.t1 + self.t2, self.t2 + self.t1,
self.t2 + [np.array([1, 2, 3])]
]:
assert_raise(Labels.check, arg, 'dimensions must be equal')
def test_same_items_twice(self):
group = self.h5file.create_group('group')
self.items.create_dataset(group, 10)
self.items.write_to(group)
assert_raise(self.items.is_appendable_to, group,
'more than one shared items')
def test_not_hdf5_file(self):
with open(self.filename, 'w') as temp:
temp.write('This is not a HDF5 file')
assert_raise(Writer, self.filename, 'not a HDF5 file')