system model upgrade guide

Feature	ver. 0.4.23	ver. 0.3.1 (Deprecated)
Experiments	from cadCAD.configuration import Experiment exp = Experiment() exp.append_configs(...)	from cadCAD.configuration import append_configs append_configs(…)
Local Execution Mode	from cadCAD.engine import ExecutionMode, ExecutionContext exec_mode = ExecutionMode() local_ctx = ExecutionContext(context=exec_mode.local_mode)	Multi-Threaded from cadCAD.engine import ExecutionMode, ExecutionContext exec_mode = ExecutionMode() single_ctx = ExecutionContext(context=exec_mode.multi_proc) Single-Threaded from cadCAD.engine import ExecutionMode, ExecutionContext exec_mode = ExecutionMode() multi_ctx = ExecutionContext(context=exec_mode.single_proc)
cadCAD Post-Processing Enhancements / Modifications	import pandas as pd from tabulate import tabulate from cadCAD.engine import ExecutionMode, ExecutionContext, Executor import system_model_A, system_model_B from cadCAD import configs exec_mode = ExecutionMode() local_ctx = ExecutionContext(context=exec_mode.local_mode) simulation = Executor(exec_context=local_ctx, configs=configs) raw_result, sys_model, _ = simulation.execute() result = pd.DataFrame(raw_result) print(tabulate(result, headers='keys', tablefmt='psql'))	import pandas as pd from tabulate import tabulate from cadCAD.engine import ExecutionMode, ExecutionContext, Executor import system_model_A, system_model_B from cadCAD import configs exec_mode = ExecutionMode() multi_ctx = ExecutionContext(context=exec_mode.multi_proc) simulation = Executor(exec_context=multi_ctx, configs=configs) i = 0 config_names = ['sys_model_A', 'sys_model_B'] for raw_result, _ in simulation.execute(): result = pd.DataFrame(raw_result) print() print(f"{config_names[i]} Result: System Events DataFrame:") print(tabulate(result, headers='keys', tablefmt='psql')) print() i += 1
Expandable state and policy update parameter	def state_update(_params, substep, sH, s, _input, **kwargs): … return 'state_variable_name', new_value def policy(_params, substep, sH, s, **kwargs): … return {'signal_1': value_1, …, 'signal_N': value_N}	def state_update(_params, substep, sH, s, _input): … return 'state_variable_name', new_value def policy(_params, substep, sH, s): … return {'signal_1': value_1, …, 'signal_N': value_N}