import numpy


class Matrix:
    __data__ = []
    __shape__ = ()

    def __init__(self, data=None, shape=None, structure=None, model=None, size=None):
        if isinstance(data, numpy.ndarray):
            try:
                data.shape[1]
            except IndexError:
                self.__shape__ = (data.shape[0], 1)
            else:
                self.__shape__ = data.shape
            self.__data__ = data.tolist()
        elif isinstance(data, list) and isinstance(shape, tuple):
            self.__shape__ = shape
            self.__data__ = numpy.array(data).reshape(shape).tolist()
        elif isinstance(data, list) and isinstance(structure, str) and isinstance(size, int):
            ...
        elif isinstance(model, str) and isinstance(size, int):
            ...
        else:
            raise ValueError("Only following signatures are allowed: "
                             "(numpy.ndarray), (list, tuple), (list, str, int), (str, int)")

    def get_data(self):
        return self.__data__

    def shape(self):
        return self.__shape__

    def __eq__(self, other):
        return self.__data__ == other.__data__