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)