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from cadCAD.tools.execution import easy_run | ||
from cadCAD.tools.profiling import profile_run | ||
from cadCAD.tools.utils import generic_suf | ||
from cadCAD.tools.utils import generic_suf, add_parameter_labels |
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from cadCAD.types import * | ||
import pandas as pd | ||
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def generic_suf(variable: str, | ||
signal: str='') -> StateUpdateFunction: | ||
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def generic_suf(variable: str, signal: str = "") -> StateUpdateFunction: | ||
""" | ||
Generate a State Update Function that assigns the signal value to the | ||
Generate a State Update Function that assigns the signal value to the | ||
given variable. By default, the signal has the same identifier as the | ||
variable. | ||
""" | ||
if signal is '': | ||
if signal is "": | ||
signal = variable | ||
else: | ||
pass | ||
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def suf(_1, _2, _3, _4, signals: PolicyOutput) -> StateUpdateTuple: | ||
return (variable, signals[signal]) | ||
return suf | ||
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return suf | ||
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def add_parameter_labels(configs: list, df: pd.DataFrame) -> pd.DataFrame: | ||
"""Utility function to add the parameters to a dataframe after processing | ||
Args: | ||
configs (list): The configurations of the simulations | ||
df (pd.DataFrame): Simulation dataframe | ||
Returns: | ||
pd.DataFrame: Simulation dataframe with labels | ||
""" | ||
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# Find the relevant parameters | ||
sim_params = pd.DataFrame([x.sim_config["M"] for x in configs]) | ||
sim_params[["subset", "simulation", "run"]] = [ | ||
[x.subset_id, x.simulation_id, x.run_id] for x in configs | ||
] | ||
# Fix because run_id is 0 indexed, but cadCAD dataframe is 1 indexed for runs | ||
sim_params["run"] += 1 | ||
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# Join | ||
sim_params = sim_params.set_index(["subset", "simulation", "run"]) | ||
df = df.join(sim_params, on=["subset", "simulation", "run"]) | ||
return df |