def _grad_one_param(self, funct, p, dl=2e-5, rts=False, nout=1, **kwargs):
        """
        Gradient of `func` wrt a single parameter `p`. (see _graddoc)
        """
        vals = self.get_values(p)
        f0 = funct(**kwargs)

        self.update(p, vals+dl)
        f1 = funct(**kwargs)

        if rts:
            self.update(p, vals)
        if nout == 1:
            return (f1 - f0) / dl
        else:
            return [(f1[i] - f0[i]) / dl for i in range(nout)]
def _grad_one_param(self, funct, p, dl=2e-5, rts=False, nout=1, **kwargs):
        """
        Gradient of `func` wrt a single parameter `p`. (see _graddoc)
        """
        vals = self.get_values(p)
        f0 = funct(**kwargs)

        self.update(p, vals+dl)
        f1 = funct(**kwargs)

        if rts:
            self.update(p, vals)
        if nout == 1:
            return (f1 - f0) / dl
        else:
            return [(f1[i] - f0[i]) / dl for i in range(nout)]
def _grad_one_param ( self , funct , p , dl = 2e-5 , rts = False , nout = 1 , * * kwargs ) : vals = self . get_values ( p ) f0 = funct ( * * kwargs ) self . update ( p , vals + dl ) f1 = funct ( * * kwargs ) if rts : self . update ( p , vals ) if nout == 1 : return ( f1 - f0 ) / dl else : return [ ( f1 [ i ] - f0 [ i ] ) / dl for i in range ( nout ) ]
Gradient of `func` wrt a single parameter `p`. (see _graddoc)
Gradient of func wrt a single parameter p . ( see _graddoc )