unittest/python/crocoddyl/differential_action.py
def calc(self, data, x, u=None):
        """ Compute the state evolution and cost value.

        First, it describes the time-continuous evolution of our dynamical system
        in which along predefined integrated action self we might obtain the
        next discrete state. Indeed it computes the time derivatives of the
        state from a predefined dynamical system. Additionally it computes the
        cost value associated to this state and control pair.
        :param self: differential action model
        :param data: differential action data
        :param x: state vector
        :param u: control input
        """
        raise NotImplementedError("Not implemented yet.")
 Compute the state evolution and cost value.

        First, it describes the time-continuous evolution of our dynamical system
        in which along predefined integrated action self we might obtain the
        next discrete state. Indeed it computes the time derivatives of the
        state from a predefined dynamical system. Additionally it computes the
        cost value associated to this state and control pair.
        :param self: differential action model
        :param data: differential action data
        :param x: state vector
        :param u: control input
        
Compute the state evolution and cost value.
First, it describes the time-continuous evolution of our dynamical system
in which along predefined integrated action self we might obtain the
next discrete state. Indeed it computes the time derivatives of the
state from a predefined dynamical system. Additionally it computes the
cost value associated to this state and control pair.
Compute the state evolution and cost value . First it describes the time - continuous evolution of our dynamical system in which along predefined integrated action self we might obtain the next discrete state . Indeed it computes the time derivatives of the state from a predefined dynamical system . Additionally it computes the cost value associated to this state and control pair .
def calc(self, data, x, u=None):
        raise NotImplementedError("Not implemented yet.")
def calc ( self , data , x , u = None ) : raise NotImplementedError ( "Not implemented yet." )
Compute the state evolution and cost value.
Compute the state evolution and cost value .
""" Compute the state evolution and cost value.

        First, it describes the time-continuous evolution of our dynamical system
        in which along predefined integrated action self we might obtain the
        next discrete state. Indeed it computes the time derivatives of the
        state from a predefined dynamical system. Additionally it computes the
        cost value associated to this state and control pair.
        :param self: differential action model
        :param data: differential action data
        :param x: state vector
        :param u: control input
        """
self
differential action model
differential action model
data
differential action data
differential action data
x
None
u
None