def test_step(self):
from pysd.py_backend.functions import step
self.assertEqual(step(lambda: 5, 1, 10), 0)
self.assertEqual(step(lambda: 15, 1, 10), 1)
self.assertEqual(step(lambda: 10, 1, 10), 1)
def selling_price_of_afv():
"""
Real Name: b'Selling Price of AFV'
Original Eqn: b'1200-Step(200,12)'
Units: b'Euros'
Limits: (None, None)
Type: component
b''
"""
return 1200 - functions.step(200, 12)
def travel_range_max():
"""
Real Name: b'travel range max'
Original Eqn: b'50+Step(50,100)'
Units: b'Miles/charge'
Limits: (None, None)
Type: component
b''
"""
return 50 + functions.step(50, 100)
def travel_range_max():
"""
Real Name: b'travel range max'
Original Eqn: b'50+Step(50,100)'
Units: b'Miles/charge'
Limits: (None, None)
Type: component
b''
"""
return 50 + functions.step(50, 100)
def selling_price_of_afv():
"""
Real Name: b'Selling Price of AFV'
Original Eqn: b'1200-Step(200,12)'
Units: b'Euros'
Limits: (None, None)
Type: component
b''
"""
return 1200 - functions.step(200, 12)
def r_customer_orders():
"""
Real Name: b'R Customer Orders'
Original Eqn: b'100+1*step(100,10)'
Units: b''
Limits: (None, None)
Type: component
b''
"""
return 100 + 1 * functions.step(100, 10)
def gpv_65():
"""
Real Name: b'"GPV 65+"'
Original Eqn: b'IF THEN ELSE(Extra Demand Flag=1,10+STEP(2,2020),10)'
Units: b'1/Year'
Limits: (None, None)
Type: component
b''
"""
return functions.if_then_else(extra_demand_flag() == 1, 10 + functions.step(2, 2020), 10)
def r_customer_orders():
"""
Real Name: b'R Customer Orders'
Original Eqn: b'100+1*step(100,10)'
Units: b''
Limits: (None, None)
Type: component
b''
"""
return 100 + 1 * functions.step(100, 10)
def gpv_65():
"""
Real Name: b'"GPV 65+"'
Original Eqn: b'IF THEN ELSE(Extra Demand Flag=1,10+STEP(2,2020),10)'
Units: b'1/Year'
Limits: (None, None)
Type: component
b''
"""
return functions.if_then_else(extra_demand_flag() == 1,
10 + functions.step(2, 2020), 10)
def required_output():
"""
Required Output
Units/week
component
The required level of output. Set by the user; begins at the reference
value, and can be increased by a certain amount, or follow a linear ramp
with a user-determined slope.
"""
return initial_required_output() * (1 + functions.step(step_in_required_output(), 0)
) + functions.ramp(ramp_in_required_output(), 0, 6)
def authorized_labor():
"""
Authorized Labor
People
component
Authorized Labor can be increased or decreased by a certain amount at time
zero, or follow a linear ramp with slope "Ramp in Labor".
"""
return np.maximum(0,
initial_labor() *
(1 + functions.step(fractional_change_in_labor(), time_to_change_labor()) +
functions.ramp(ramp_in_labor(), 0, 6)))
@cache('run')
def time_step():
"""
Real Name: b'TIME STEP'
Original Eqn: b'0.125'
Units: b'day'
Limits: (0.0, None)
Type: constant
b'The time step for the simulation.'
"""
return 0.125
_smooth_functionsstep__datatime_potential_isolation_effectiveness_import_time_isolation_reaction_time_functionsstep__datatime_potential_isolation_effectiveness_import_time_3 = functions.Smooth(
lambda: functions.step(__data['time'], potential_isolation_effectiveness(),
import_time()), lambda: isolation_reaction_time(),
lambda: functions.step(__data['time'], potential_isolation_effectiveness(),
import_time()), lambda: 3)
_smooth_1functionsstep__datatime_behavioral_risk_reduction_import_time_behavior_reaction_time_1functionsstep__datatime_behavioral_risk_reduction_import_time_3 = functions.Smooth(
lambda: 1 - functions.step(__data['time'], behavioral_risk_reduction(),
import_time()),
lambda: behavior_reaction_time(), lambda: 1 - functions.step(
__data['time'], behavioral_risk_reduction(), import_time()), lambda: 3)
_integ_deaths = functions.Integ(lambda: dying(), lambda: 0)
_integ_exposed = functions.Integ(lambda: infecting() - advancing(), lambda: 0)
_integ_recovered = functions.Integ(lambda: recovering(), lambda: 0)