"""
return 0
@cache('step')
def saveper():
"""
SAVEPER
Minute [0,?]
The frequency with which output is stored.
"""
return time_step()
@cache('run')
def time_step():
"""
TIME STEP
Minute [0,?]
The time step for the simulation.
"""
return 0.125
integ_teacup_temperature = functions.Integ(lambda: -heat_loss_to_room(),
lambda: 180)
@cache('step')
def saveper():
"""
SAVEPER
Day [0,?]
The frequency with which output is stored.
"""
return time_step()
@cache('run')
def time_step():
"""
TIME STEP
Day [0,?]
The time step for the simulation.
"""
return 1
integ_adopters_a = functions.Integ(lambda: adoption_rate_ar(), lambda: 0)
integ_potential_adopters_p = functions.Integ(lambda: -adoption_rate_ar(),
lambda: 500)
return time_step()
@cache('run')
def time_step():
"""
TIME STEP
---------
(time_step)
Month [0,?]
The time step for the simulation.
"""
return 0.0625
integ_total_cumulative_sales = functions.Integ(lambda: accumulating_sales(),
lambda: 0)
integ_tenure = functions.Integ(lambda: accumulating_tenure(), lambda: 0)
integ_total_cumulative_income = functions.Integ(lambda: accumulating_income(),
lambda: 0)
integ_months_of_buffer = functions.Integ(lambda: income() - expenses(),
lambda: initial_buffer())
integ_tier_2_clients = functions.Integ(
lambda: tier_2_sales() - tier_2_client_turnover(), lambda: 0)
integ_tier_2_leads = functions.Integ(
lambda: tier_2_lead_aquisition() + tier_2_sales() -
tier_2_leads_going_stale(), lambda: 0)
def saveper():
"""
SAVEPER
Month [0,?]
The frequency with which output is stored.
"""
return time_step()
@cache('run')
def time_step():
"""
TIME STEP
Month [0,?]
The time step for the simulation.
"""
return 0.0625
integ_total_cumulative_income = functions.Integ(lambda: accumulating_income(), lambda: 0)
integ_total_cumulative_sales = functions.Integ(lambda: accumulating_sales(), lambda: 0)
integ_tenure = functions.Integ(lambda: accumulating_tenure(), lambda: 0)
integ_motivation = functions.Integ(lambda: motivation_adjustment(), lambda: 1)
'deradicalization': 'deradicalization',
'Time': 'time',
'percent of muslims in population': 'percent_of_muslims_in_population',
'unexposed citizens on internet': 'unexposed_citizens_on_internet',
'exposure rate': 'exposure_rate',
'radicalized citizens': 'radicalized_citizens',
'INITIAL TIME': 'initial_time',
'exposure': 'exposure',
'percent with access to internet': 'percent_with_access_to_internet',
'deradicalization rate': 'deradicalization_rate',
'SAVEPER': 'saveper',
'TIME STEP': 'time_step'
}
integ_unexposed_citizens_on_internet = functions.Integ(
lambda: -exposure(),
lambda: total_population() * percent_with_access_to_internet())
@cache('step')
def exposure():
"""
exposure
--------
(exposure)
person/Week
"""
return exposure_rate() * unexposed_citizens_on_internet()
@cache('run')
def contact_infectivity():
"""
Contact Infectivity
-------------------
(contact_infectivity)
Persons/Persons/Day
A joint parameter listing both how many people you contact, and how likely
you are to give them the disease.
"""
return 0.3
integ_recovered = functions.Integ(lambda: recovering(), lambda: 0)
@cache('step')
def recovering():
"""
Recovering
----------
(recovering)
Persons/Day
"""
return infectious() / duration()
@cache('step')
return lookup_function_call()
def lookup_function_table(x):
"""
lookup function table
---------------------
(lookup_function_table)
"""
return functions.lookup(x, [0, 5, 10, 15, 20, 25, 30, 35, 40, 45],
[0, 0, 1, 1, 0, 0, -1, -1, 0, 0])
integ_accumulation = functions.Integ(lambda: rate(), lambda: 0)
@cache('step')
def lookup_function_call():
"""
lookup function call
--------------------
(lookup_function_call)
"""
return lookup_function_table(time())
@cache('run')
@cache('step')
def saveper():
"""
SAVEPER
Month [0,?]
The frequency with which output is stored.
"""
return time_step()
@cache('run')
def time_step():
"""
TIME STEP
Month [0,?]
The time step for the simulation.
"""
return 0.03125
integ_desired_state_of_the_system = functions.Integ(
lambda: net_change_in_goal(), lambda: initial_goal())
integ_state_of_the_system = functions.Integ(
lambda: net_change_in_state(), lambda: initial_state_of_the_system())
return time_step()
@cache('run')
def time_step():
"""
TIME STEP
---------
(time_step)
Day [0,?]
The time step for the simulation.
"""
return 0.125
integ_deceased_population = functions.Integ(
lambda: dying(), lambda: initial_deceased_population())
integ_exposed_population = functions.Integ(
lambda: infecting() - incubation(), lambda: initial_exposed_population())
integ_infectious_population = functions.Integ(
lambda: incubation() - dying() - surviving(),
lambda: initial_infectious_population())
integ_recovered_population = functions.Integ(
lambda: surviving(), lambda: initial_recovered_population())
integ_susceptible_population = functions.Integ(
lambda: -infecting(), lambda: initial_susceptible_population())
