def test_slow_factory_simulator_with_jobs_hypothesis(
profile_ind, t, at, override, simulator_type
):
products = [
Product(
id=i + l * n_levels,
production_level=l,
name=f"{l}_{i}",
catalog_price=(i + 1) * (l + 1),
expires_in=None,
)
for i in range(n_products)
for l in range(n_levels)
]
processes = [
Process(
id=i + l * n_levels,
production_level=l,
name=f"p{l}_{i}",
inputs=[
InputOutput(product=i + (l - 1) * n_levels, quantity=3, step=0.0),
InputOutput(product=i + (l - 1) * n_levels, quantity=2, step=0.0),
],
outputs=[
InputOutput(product=i + l * n_levels, quantity=1, step=1.0),
InputOutput(product=i + l * n_levels, quantity=2, step=1.0),
],
historical_cost=1 + i + l * n_levels,
)
for i in range(n_processes)
for l in range(1, n_levels)
]
profiles = [
ManufacturingProfile(
n_steps=i + 1,
cost=10 * (i + 1),
initial_pause_cost=1,
running_pause_cost=2,
resumption_cost=3,
cancellation_cost=4,
line=l,
process=p,
)
for i, (p, l) in enumerate(zip(processes, itertools.cycle(range(n_lines))))
]
simulator_type = (
SlowFactorySimulator if simulator_type == "slow" else FastFactorySimulator
)
simulator = simulator_type(
initial_wallet=initial_wallet,
initial_storage=initial_storage,
n_steps=n_steps,
n_products=len(products),
profiles=profiles,
max_storage=max_storage,
)
do_simulator_run(simulator, profiles, t, at, profile_ind, override)
def processes():
return [
Process(
id=i + l * n_levels,
production_level=l,
name=f"p{l}_{i}",
inputs=[
InputOutput(product=i + (l - 1) * n_levels, quantity=3, step=0.0),
InputOutput(product=i + (l - 1) * n_levels, quantity=2, step=0.0),
],
outputs=[
InputOutput(product=i + l * n_levels, quantity=1, step=1.0),
InputOutput(product=i + l * n_levels, quantity=2, step=1.0),
],
historical_cost=1 + i + l * n_levels,
)
for i in range(n_processes)
for l in range(1, n_levels)
]
sample_products = [
Product(id=i + l * n_levels,
production_level=l,
name=f'{l}_{i}',
catalog_price=(i + 1) * (l + 1),
expires_in=None) for i in range(n_products)
for l in range(n_levels)
]
sample_processes = [
Process(id=i + l * n_levels,
production_level=l,
name=f'p{l}_{i}',
inputs={
InputOutput(product=i + (l - 1) * n_levels,
quantity=3,
step=0.0),
InputOutput(product=i + (l - 1) * n_levels,
quantity=2,
step=0.0)
},
outputs={
InputOutput(product=i + l * n_levels, quantity=1, step=1.0),
InputOutput(product=i + l * n_levels, quantity=2, step=1.0)
},
historical_cost=1 + i + l * n_levels) for i in range(n_processes)
for l in range(1, n_levels)
]
sample_profiles = [
ManufacturingProfile(n_steps=i + 1,
cost=10 * (i + 1),