UpdateAvgMktPrice#
- class bamengine.events.economy_stats.UpdateAvgMktPrice[source]#
Bases:
EventUpdate exponentially smoothed average market price.
The average market price is calculated from all firm prices and tracked in economy history for inflation calculations.
Examples
>>> import bamengine as be >>> sim = be.Simulation.init(n_firms=100, seed=42) >>> event = sim.get_event("update_avg_mkt_price") >>> event.execute(sim) >>> sim.ec.avg_mkt_price 1.02
See also
CalcInflationRateUses price history for inflation
bamengine.events._internal.production.update_avg_mkt_priceImplementation
- execute(sim)[source]#
Execute the event’s logic.
Mutates simulation state in-place. This method must be implemented by all Event subclasses.
- Parameters:
sim (
Simulation) – The simulation instance containing all state and configuration.- Returns:
All mutations are in-place.
- Return type:
Examples
Implement execute in a custom event:
>>> from bamengine import event, ops >>> >>> @event ... class CustomPricingEvent: ... def execute(self, sim): ... prod = sim.get_role("Producer") ... # Apply 10% markup to all prices ... new_prices = ops.multiply(prod.price, 1.1) ... ops.assign(prod.price, new_prices)
Access configuration and RNG:
>>> @event ... class StochasticEvent: ... def execute(self, sim): ... shock = sim.config.h_rho ... random_values = sim.rng.uniform(0, shock, size=sim.n_firms) ... # Use random_values in calculations
Notes
The execute method receives full Simulation access, including: - All roles: sim.get_role(“RoleName”) or sim.prod, sim.wrk, etc. - Configuration: sim.config - RNG: sim.rng - Economy state: sim.ec
- __init__()#
- name = 'update_avg_mkt_price'#