(self,t, N = 1e6)
return self.sample_position(t, n).var()
var = SampleVarStat()
        for i in range(10000):
            var.push(self.generate_position_at(t))
        return var.get_variance()
var = SampleVarStat()
        for i in range(10000):
            var.push(self.generate_position_at(t))
        return var.get_variance()
var = SampleVarStat () for i in range ( 10000 ) : var . push ( self . generate_position_at ( t )) return var . get_variance ()
def _var(self,t, N = 1e6):
        """
        var = SampleVarStat()
        for i in range(10000):
            var.push(self.generate_position_at(t))
        return var.get_variance()
        """
        return self.sample_position(t, n).var()
def _var ( self , t , N = 1e6 ) : return self . sample_position ( t , n ) . var ( )