def __init__(self, initialValue = None, deltaDistr = None, intervalDistr = None, name = None):
from marketsim.gen._out._observable._observablefloat import Observablefloat
from marketsim.gen._out.math.random._normalvariate import normalvariate_FloatFloat as _math_random_normalvariate_FloatFloat
from marketsim import deref_opt
from marketsim.gen._out.math.random._expovariate import expovariate_Float as _math_random_expovariate_Float
Observablefloat.__init__(self)
self.initialValue = initialValue if initialValue is not None else 0.0
self.deltaDistr = deltaDistr if deltaDistr is not None else deref_opt(_math_random_normalvariate_FloatFloat(0.0,1.0))
self.intervalDistr = intervalDistr if intervalDistr is not None else deref_opt(_math_random_expovariate_Float(1.0))
self.name = name if name is not None else "-random-"
RandomWalk_Impl.__init__(self)
def __init__(self,
initialValue=None,
deltaDistr=None,
intervalDistr=None,
name=None):
from marketsim.gen._out._observable._observablefloat import Observablefloat
from marketsim.gen._out.math.random._normalvariate import normalvariate_FloatFloat as _math_random_normalvariate_FloatFloat
from marketsim import deref_opt
from marketsim.gen._out.math.random._expovariate import expovariate_Float as _math_random_expovariate_Float
Observablefloat.__init__(self)
self.initialValue = initialValue if initialValue is not None else 0.0
self.deltaDistr = deltaDistr if deltaDistr is not None else deref_opt(
_math_random_normalvariate_FloatFloat(0.0, 1.0))
self.intervalDistr = intervalDistr if intervalDistr is not None else deref_opt(
_math_random_expovariate_Float(1.0))
self.name = name if name is not None else "-random-"
RandomWalk_Impl.__init__(self)
def reset(self):
RandomWalk_Impl.reset(self)
def bind_impl(self, ctx):
RandomWalk_Impl.bind_impl(self, ctx)
def reset(self):
RandomWalk_Impl.reset(self)
def bind_impl(self, ctx):
RandomWalk_Impl.bind_impl(self, ctx)
