def test_regionprops_table_equal_to_original():
regions = regionprops(SAMPLE, INTENSITY_FLOAT_SAMPLE)
out_table = regionprops_table(SAMPLE,
INTENSITY_FLOAT_SAMPLE,
properties=COL_DTYPES.keys())
for prop in COL_DTYPES.keys():
for i in range(len(regions)):
if not isinstance(regions[i][prop], Iterable):
assert regions[i][prop] == out_table[prop][i]
def test_regionprops_table_equal_to_original():
regions = regionprops(SAMPLE, INTENSITY_FLOAT_SAMPLE)
out_table = regionprops_table(SAMPLE, INTENSITY_FLOAT_SAMPLE,
properties=COL_DTYPES.keys())
for prop, dtype in COL_DTYPES.items():
for i, reg in enumerate(regions):
rp = reg[prop]
if np.isscalar(rp) or \
prop in OBJECT_COLUMNS or \
dtype is np.object_:
assert_array_equal(rp, out_table[prop][i])
else:
shape = rp.shape if isinstance(rp, np.ndarray) else (len(rp),)
for ind in np.ndindex(shape):
modified_prop = "-".join(map(str, (prop,) + ind))
loc = ind if len(ind) > 1 else ind[0]
assert_equal(rp[loc], out_table[modified_prop][i])
def test_column_dtypes_complete():
assert set(COL_DTYPES.keys()).union(OBJECT_COLUMNS) == set(PROPS.values())