Hands-On Neuroevolution with Python

Visual field definition

We store the configuration of the visual field for each of the 75 trials discussed previously in the VisualField Python class. It has the following constructor:

    def __init__(self, big_pos, small_pos, field_size):        self.big_pos = big_pos        self.small_pos = small_pos        self.field_size = field_size        self.data = np.zeros((field_size, field_size))        # store small object position        self._set_point(small_pos[0], small_pos[1])        # store big object points        offsets = [-1, 0, 1]        for xo in offsets:            for yo in offsets:                self._set_point(big_pos[0] + xo, big_pos[1] + yo)

The constructor of VisualField accepts as parameters the tuple with coordinates (x, y) of the large and small object, as well as the size of the visual field. We consider the ...