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Fix deprecation warning and dtype issue in flu_example.py #235

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merged 1 commit into from
Apr 2, 2023
Merged

Fix deprecation warning and dtype issue in flu_example.py #235

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37 changes: 20 additions & 17 deletions ema_workbench/examples/flu_example.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,11 +13,10 @@
"""
import matplotlib.pyplot as plt
import numpy as np
from numpy import sin, min
from scipy import exp
from numpy import sin, min, exp

from ema_workbench import Model, RealParameter, TimeSeriesOutcome, perform_experiments, ema_logging
from ema_workbench import MultiprocessingEvaluator
from ema_workbench import MultiprocessingEvaluator, SequentialEvaluator
from ema_workbench.analysis import lines, Density

# =============================================================================
Expand Down Expand Up @@ -137,7 +136,7 @@ def flu_model(

# --End of Initialization--

Max_infected = 0
Max_infected = 0.0

for time in range(int(INITIAL_TIME / TIME_STEP), int(FINAL_TIME / TIME_STEP)):
runTime.append(runTime[-1] + TIME_STEP)
Expand Down Expand Up @@ -285,20 +284,22 @@ def flu_model(

normal_immune_population_fraction_region_2 = switch_immunity_cap * min(
(
sin((time * TIME_STEP / 2) + 1.5)
* additional_seasonal_immune_population_fraction_R2
/ 2
)
+ (
(
(2 * permanent_immune_population_fraction_R2)
+ additional_seasonal_immune_population_fraction_R2
sin((time * TIME_STEP / 2) + 1.5)
* additional_seasonal_immune_population_fraction_R2
/ 2
)
/ 2
),
(
permanent_immune_population_fraction_R1
+ additional_seasonal_immune_population_fraction_R1
+ (
(
(2 * permanent_immune_population_fraction_R2)
+ additional_seasonal_immune_population_fraction_R2
)
/ 2
),
(
permanent_immune_population_fraction_R1
+ additional_seasonal_immune_population_fraction_R1
),
),
) + (
(1 - switch_immunity_cap)
Expand Down Expand Up @@ -451,9 +452,11 @@ def flu_model(

nr_experiments = 500

with MultiprocessingEvaluator(model) as evaluator:
with SequentialEvaluator(model) as evaluator:
results = perform_experiments(model, nr_experiments, evaluator=evaluator)

print("laat")

lines(
results,
outcomes_to_show="deceased_population_region_1",
Expand Down