Inspect which functions of scikit-image are compatible with 3-D arrays.

skimage_3d_compatibility.py

import numpy as np
import inspect
from skimage import exposure, feature, filters, measure, morphology, \
                    restoration, segmentation, transform, util


def only_one_nondefault(args):
    """
    Returns True if the function has only one non-keyword parameter,
    False otherwise.
    """
    defaults = 0 if args.defaults is None else len(args.defaults)
    if len(args.args) >= 1 and (len(args.args) - defaults <= 1):
        return True
    else:
        return False


test_3d_float = np.ones((20, 20, 10))
test_3d_float[:5, :5, :5] = 0.
test_3d_int = np.ones((20, 20, 10), dtype=np.uint8)
test_3d_int[:5, :5, :5] = 0

compatible_3d = []
not_3d = []
several_arguments = []

functions = []
for submodule in [exposure, feature, filters, measure, morphology,
                              restoration, segmentation, transform, util]:
    functions += inspect.getmembers(submodule, inspect.isfunction)
    
for function in functions:
    args = inspect.getfullargspec(function[1])
    only_one_argument = only_one_nondefault(args)
    if only_one_argument:
        try:
            function[1](test_3d_float)
            compatible_3d.append(function[0])
        except ValueError:
            not_3d.append(function[0])
        except TypeError:
            try:
                function[1](test_3d_int)
                compatible_3d.append(function[0])
            except ValueError:
                not_3d.append(function[0])
            except:
                compatible_3d.append(function[0])
        except:
            compatible_3d.append(function[0])
    else:
        several_arguments.append(function[0])


print("total number of functions: ", len(functions))
print("number of functions with several arguments: ", len(several_arguments))
print("number of functions compatible with 3-D arrays: ", len(compatible_3d))
print("number of functions not compatible with 3-D arrays: ", len(not_3d))