Vectorization decorator

Created by: Durman

Addressed problem description

This adds experimental decorator which solves vectorization problem.

This is how it works.

from sverchok.utils import vectorize

def main_node_logic(*, prop_a: List[float], prop_b: Matrix, mode_a: str) -> Tuple[list, list]:
    ...
    return data1, data2

class MyNode:
    ...
    def process(self):
        input_a = self.inputs[0].sv_get(default=None)
        input_b = self.inputs[1].sv_get(default=None)

        main_node_logic = vectorize(main_node_logic, match_mode=self.match_mode)
        out1, out2 = main_node_logic(input_a, input_b, mode_a = self.mode_a)

        self.outputs[0].sv_set(out1)
        self.outputs[1].sv_set(out2)

In this example input_a can be one float value, list of floats or list of list of floats of arbitrary shape ([1, [[2, 3], 4], 5, 6]). This is true and for all other parameters of the function.

If the shape of an input data is different from each other it will be matched according match_mode parameter which can repeat last, cycle etc.

Closes #3988 (closed)

Preflight checklist

• Code changes complete.
• Code documentation complete.
• Manual testing done.
• Unit-tests implemented.
• Ready for merge.