def _weight_initialization(self, i=1, o=1, hidden=1, method=RANDOM, a=0.0, b=1.0):
        i += 1 # bias
        # Node activation.
        self._ai = [1.0] * i
        self._ao = [1.0] * o
        self._ah = [1.0] * hidden
        # Node weights (w) and recent change (c).
        self._wi = matrix(i, hidden, a, b)
        self._ci = matrix(i, hidden)
        self._wo = matrix(hidden, o, a, b)
        self._co = matrix(hidden, o)
Map the source path with the destination path (+ date for
dataset/ETHPy150Open clips/pattern/pattern/vector/__init__.py/BPNN._weight_initialization--crossover with--dataset/ETHPy150Open seb-m/pyinotify/python2/pyinotify.py/_SysProcessEvent.process_IN_MOVED_TO