| Feature | ver. 0.4.27 | ver. 0.4.23 |
|---|---|---|
from cadCAD.configuration import Experiment
exp = Experiment()
exp.append_model(
model_id = 'sys_model_1', # System Model
initial_state = ..., # System Model
partial_state_update_blocks = ..., # System Model
policy_ops = ..., # System Model
sim_configs = ..., # Simulation Properties
)
exp.append_model(
model_id = 'sys_model_2', # System Model
...
)
configs = exp.configs |
from cadCAD import configs
from cadCAD.configuration import Experiment
exp = Experiment()
exp.append_configs(...) | |
import pandas as pd
from tabulate import tabulate
from cadCAD.engine import ExecutionMode, ExecutionContext, Executor
from simulations.regression_tests.experiments import multi_exp
from simulations.regression_tests.models import config_multi_1, config_multi_2
exec_mode = ExecutionMode()
local_proc_ctx = ExecutionContext(context=exec_mode.local_mode)
run = Executor(exec_context=local_proc_ctx, configs=multi_exp.configs)
raw_result, tensor_fields, _ = run.execute()
result = pd.DataFrame(raw_result)
print(tabulate(tensor_fields[0], headers='keys', tablefmt='psql'))
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()
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')) |