# Path: odelab/system/base.py
# class System(object):
# 	"""
# 	General System class to define a simple dynamics given by a right-hand side.
# 	"""
# 	def __init__(self, f=None):
# 		if f is not None:
# 			self._f = f
# 
# 	def label(self, component):
# 		return '%s' % component
# 
# 	def preprocess(self, u0):
# 		return u0
# 
# 	def postprocess(self, u1):
# 		return u1
# 
# 	def __call__(self, t, x):
# 		return self._f(t, x)


from odelab.system.base import System
import numpy as np
#!/usr/bin/env python
# −*− coding: UTF−8 −*−
from __future__ import division


class OrnsteinUhlenbeck(System):
	def __init__(self, sigma=1, theta=1, mu=1):
		self.sigma = sigma
		self.theta = theta
		self.mu = mu

	def mass(self, t, u):
		return u

	def deterministic(self, t, u):
		return self.theta*(self.mu - u)


# Path: odelab/system/base.py
# class System(object):
# 	"""
# 	General System class to define a simple dynamics given by a right-hand side.
# 	"""
# 	def __init__(self, f=None):
# 		if f is not None:
# 			self._f = f
# 
# 	def label(self, component):
# 		return '%s' % component
# 
# 	def preprocess(self, u0):
# 		return u0
# 
# 	def postprocess(self, u1):
# 		return u1
# 
# 	def __call__(self, t, x):
# 		return self._f(t, x)


# Path: odelab/system/stochastic.py
from odelab.system.base import System
import numpy as np

#!/usr/bin/env python
# −*− coding: UTF−8 −*−
from __future__ import division


class OrnsteinUhlenbeck(System):
	def __init__(self, sigma=1, theta=1, mu=1):
		self.sigma = sigma
		self.theta = theta
		self.mu = mu

	def mass(self, t, u):
		return u

	def deterministic(self, t, u):
		return self.theta*(self.mu - u)


	def noise(self, t, u):