# Source code for macop.operators.crossovers.SimpleCrossover

    """Crossover implementation which generated new solution by splitting at mean size best solution and current solution
    """
    # main imports
    import random
    import sys
    import pkgutil

    # module imports
    from .Crossover import Crossover

    # import all available solutions
    for loader, module_name, is_pkg in pkgutil.walk_packages(
            path=['macop/solutions'], prefix='macop.solutions.'):
        _module = loader.find_module(module_name).load_module(module_name)
        globals()[module_name] = _module

    class SimpleCrossover(Crossover):
        """Crossover implementation which generated new solution by splitting at mean size best solution and current solution

        Attributes:
            kind: {Algorithm} -- specify the kind of operator
        """
        def apply(self, _solution):
            """Create new solution based on best solution found and solution passed as parameter

            Args:
                _solution: {Solution} -- the solution to use for generating new solution

            Returns:
                {Solution} -- new generated solution
            """

            size = _solution.size

            # copy data of solution
            firstData = _solution.data.copy()
            # get best solution from current algorithm
            secondData = self.algo.bestSolution.data.copy()

            splitIndex = int(size / 2)

            if random.uniform(0, 1) > 0.5:
                firstData[splitIndex:(size - 1)] = firstData[splitIndex:(size - 1)]
                currentData = firstData
            else:
                secondData[splitIndex:(size - 1)] = firstData[splitIndex:(size -
                                                                          1)]
                currentData = secondData

            # create solution of same kind with new data
            class_name = type(_solution).__name__
            return getattr(globals()['macop.solutions.' + class_name],
                           class_name)(currentData, size)