def atanPow(base=None):
from marketsim.gen._out.strategy.weight.f._f_atanpow import f_AtanPow_Float as _strategy_weight_f_f_AtanPow_Float
from marketsim import rtti
if base is None or rtti.can_be_casted(base, float):
return _strategy_weight_f_f_AtanPow_Float(base)
raise Exception('Cannot find suitable overload for atanPow(' + str(base) +
':' + str(type(base)) + ')')
def __init__(self, strategies = None, account = None, weight = None, normalizer = None, corrector = None):
from marketsim.gen._out.strategy.account.inner._inner_virtualmarket import inner_VirtualMarket_ as _strategy_account_inner_inner_VirtualMarket_
from marketsim.gen._out.strategy.weight.array._array_identityl import array_IdentityL_ as _strategy_weight_array_array_IdentityL_
from marketsim.gen._out.strategy.weight.f._f_atanpow import f_AtanPow_Float as _strategy_weight_f_f_AtanPow_Float
from marketsim.gen._out.strategy._empty import Empty_ as _strategy_Empty_
from marketsim.gen._out.strategy.weight.trader._trader_traderefficiencytrend import trader_TraderEfficiencyTrend_Float as _strategy_weight_trader_trader_TraderEfficiencyTrend_Float
from marketsim import deref_opt
self.strategies = strategies if strategies is not None else [deref_opt(_strategy_Empty_())]
self.account = account if account is not None else deref_opt(_strategy_account_inner_inner_VirtualMarket_())
self.weight = weight if weight is not None else deref_opt(_strategy_weight_trader_trader_TraderEfficiencyTrend_Float())
self.normalizer = normalizer if normalizer is not None else deref_opt(_strategy_weight_f_f_AtanPow_Float())
self.corrector = corrector if corrector is not None else deref_opt(_strategy_weight_array_array_IdentityL_())
MultiarmedBandit2_Impl.__init__(self)
def __init__(self, strategies = None, account = None, weight = None, normalizer = None, corrector = None):
from marketsim import rtti
from marketsim.gen._out.strategy.weight.trader._trader_traderefficiencytrend import trader_TraderEfficiencyTrend_Float as _strategy_weight_trader_trader_TraderEfficiencyTrend_Float
from marketsim.gen._out.strategy._noise import Noise_IEventSideIObservableIOrder as _strategy_Noise_IEventSideIObservableIOrder
from marketsim.gen._out.strategy.account.inner._inner_virtualmarket import inner_VirtualMarket_ as _strategy_account_inner_inner_VirtualMarket_
from marketsim.gen._out.strategy.weight.f._f_atanpow import f_AtanPow_Float as _strategy_weight_f_f_AtanPow_Float
from marketsim.gen._out.strategy.weight.array._array_identityl import array_IdentityL_ as _strategy_weight_array_array_IdentityL_
self.strategies = strategies if strategies is not None else [_strategy_Noise_IEventSideIObservableIOrder()]
self.account = account if account is not None else _strategy_account_inner_inner_VirtualMarket_()
self.weight = weight if weight is not None else _strategy_weight_trader_trader_TraderEfficiencyTrend_Float()
self.normalizer = normalizer if normalizer is not None else _strategy_weight_f_f_AtanPow_Float()
self.corrector = corrector if corrector is not None else _strategy_weight_array_array_IdentityL_()
rtti.check_fields(self)
_MultiarmedBandit2_Impl.__init__(self)
def __init__(self, strategies=None, account=None, weight=None, normalizer=None, corrector=None):
from marketsim.gen._out.strategy.account.inner._inner_virtualmarket import (
inner_VirtualMarket_ as _strategy_account_inner_inner_VirtualMarket_,
)
from marketsim.gen._out.strategy.weight.array._array_identityl import (
array_IdentityL_ as _strategy_weight_array_array_IdentityL_,
)
from marketsim.gen._out.strategy.weight.f._f_atanpow import (
f_AtanPow_Float as _strategy_weight_f_f_AtanPow_Float,
)
from marketsim.gen._out.strategy._empty import Empty_ as _strategy_Empty_
from marketsim.gen._out.strategy.weight.trader._trader_traderefficiencytrend import (
trader_TraderEfficiencyTrend_Float as _strategy_weight_trader_trader_TraderEfficiencyTrend_Float,
)
from marketsim import deref_opt
self.strategies = strategies if strategies is not None else [deref_opt(_strategy_Empty_())]
self.account = account if account is not None else deref_opt(_strategy_account_inner_inner_VirtualMarket_())
self.weight = (
weight if weight is not None else deref_opt(_strategy_weight_trader_trader_TraderEfficiencyTrend_Float())
)
self.normalizer = normalizer if normalizer is not None else deref_opt(_strategy_weight_f_f_AtanPow_Float())
self.corrector = corrector if corrector is not None else deref_opt(_strategy_weight_array_array_IdentityL_())
MultiarmedBandit2_Impl.__init__(self)
def atanPow(base = None):
from marketsim.gen._out.strategy.weight.f._f_atanpow import f_AtanPow_Float as _strategy_weight_f_f_AtanPow_Float
from marketsim import rtti
if base is None or rtti.can_be_casted(base, float):
return _strategy_weight_f_f_AtanPow_Float(base)
raise Exception('Cannot find suitable overload for atanPow('+str(base) +':'+ str(type(base))+')')
