From 0ed110a07c2fc89cb9ee04847dbe254612cfedde Mon Sep 17 00:00:00 2001 From: BenSchZA Date: Tue, 6 Sep 2022 23:41:52 +0200 Subject: [PATCH 01/18] Nested dataclasses / param namespaces --- radcad/core.py | 132 +++++++++++++++++++++++++++++++++++---------- radcad/utils.py | 9 ++++ tests/test_core.py | 113 +++++++++++++++++++++++++++++++++++++- 3 files changed, 224 insertions(+), 30 deletions(-) diff --git a/radcad/core.py b/radcad/core.py index c788bcf..6059dee 100644 --- a/radcad/core.py +++ b/radcad/core.py @@ -2,9 +2,10 @@ import logging import pickle import traceback -from typing import List, Tuple, Callable -from dataclasses import asdict, is_dataclass -from radcad.types import PolicySignal, SimulationResults, StateUpdate, StateUpdateBlock, StateVariables, SystemParameters +from typing import Dict, List, Tuple, Callable +from dataclasses import is_dataclass +from radcad.types import Dataclass, PolicySignal, SimulationResults, StateUpdate, StateUpdateBlock, StateVariables, SystemParameters +from radcad.utils import extend_list # Use "radCAD" logging instance to avoid conflict with other projects @@ -26,7 +27,7 @@ def _update_state( deepcopy: bool, deepcopy_method: Callable, state_update_tuple: StateUpdate, -): +) -> StateUpdate: _substate = deepcopy_method(substate) if deepcopy else substate.copy() _signals = deepcopy_method(signals) if deepcopy else signals.copy() @@ -60,7 +61,7 @@ def _single_run( deepcopy: bool, deepcopy_method: Callable, drop_substeps: bool, -): +) -> SimulationResults: logger.info(f"Starting simulation {simulation} / run {run} / subset {subset}") initial_state["simulation"] = simulation @@ -181,36 +182,111 @@ def _single_run_wrapper(args): return [], e -def generate_parameter_sweep(params: SystemParameters): - _is_dataclass = is_dataclass(params) - _params = asdict(params) if _is_dataclass else params - - param_sweep = [] - max_len = 1 - for value in _params.values(): - if isinstance(value, list) and len(value) > max_len: +def _get_sweep_len(params: Dict, max_len: int=1) -> int: + for value in params.values(): + if isinstance(value, dict): + _get_sweep_len(value, max_len) + elif isinstance(value, list) and len(value) > max_len: max_len = len(value) + else: + continue + return max_len - for sweep_index in range(0, max_len): - param_set = {} - for (key, value) in _params.items(): - if not isinstance(value, list): + +def _nested_asdict(params: Dataclass) -> Dict: + """ + Recursively follow any continuous nested chain of dataclasses + converting to dictionaries, e.g.: + + @dataclass + class D: + e = [3, 4] + f = 5 + + @dataclass + class I: + j: int = 9 + + @dataclass + class H: + i: I = I() + + @dataclass + class NestedParams: + a: dict = default({ + 'b': 1, + 'c': [2], + 'd': D(), + }) + g: list = default([6, 7, 8]) + h: list = H() + + _nested_asdict(NestedParams()) == { + 'a': {'b': 1, 'c': [2], 'd': D()}, + 'g': [6, 7, 8], + 'h': {'i': {'j': 9}} + } + """ + dict_params = {} + if is_dataclass(params): + for (key, value) in params.__dict__.items(): + if is_dataclass(value): + value = _nested_asdict(value) + dict_params[key] = value + return dict_params + + +def _traverse_params(params: SystemParameters) -> SystemParameters: + parent_class = None + dict_params = {} + if is_dataclass(params): + parent_class = params.__class__ + for (key, value) in params.__dict__.items(): + if is_dataclass(value): + value = _traverse_params(value) + elif not isinstance(value, list): value = [value] - param = ( - value[sweep_index] - if sweep_index < len(value) - else value[-1] - ) - param_set[key] = param - param_sweep.append(param_set) + dict_params[key] = value + + return parent_class(**dict_params) if parent_class else dict_params + - if _is_dataclass: - return [params.__class__(**subset) for subset in param_sweep] +def _traverse_sweep_params(params: SystemParameters, max_len: int, sweep_index: int): + parent_class = None + dict_params = {} + if is_dataclass(params): + parent_class = params.__class__ + items = params.__dict__.items() + elif isinstance(params, dict): + items = params.items() else: - return param_sweep + return dict_params + + for (key, value) in items: + if is_dataclass(value): + value = _traverse_sweep_params(value, max_len, sweep_index) + elif not isinstance(value, list): + value = [value] + if isinstance(value, list): + value = extend_list(value, max_len)[sweep_index] + dict_params[key] = value + + return parent_class(**dict_params) if parent_class else dict_params + + +def generate_parameter_sweep(params: SystemParameters) -> List[Dict]: + _is_dataclass = is_dataclass(params) + _params = _nested_asdict(params) if _is_dataclass else params + max_len = _get_sweep_len(_params) + + param_sweep = [] + for sweep_index in range(0, max_len): + param_set = _traverse_sweep_params(params, max_len, sweep_index) + param_sweep.append(param_set) + return param_sweep -def _add_signals(acc, a: PolicySignal): +def _add_signals(acc: PolicySignal, a: PolicySignal) -> PolicySignal: for (key, value) in a.items(): if acc.get(key, None): acc[key] += value diff --git a/radcad/utils.py b/radcad/utils.py index bc123ec..04a3e4f 100644 --- a/radcad/utils.py +++ b/radcad/utils.py @@ -17,6 +17,15 @@ def generator(nested_list): return list(generator(nested_list)) +def extend_list(list, target_length): + """Extend list to length by repeating last element""" + if len(list) >= target_length: + return list + else: + extension = [list[-1] if list else None] * (target_length - len(list)) + return list + extension + + def extract_exceptions(results_with_exceptions): results, exceptions = zip(*results_with_exceptions) return (list(flatten(flatten(list(results)))), list(exceptions)) diff --git a/tests/test_core.py b/tests/test_core.py index 173122f..015ae99 100644 --- a/tests/test_core.py +++ b/tests/test_core.py @@ -1,9 +1,9 @@ -from typing import List +from typing import Dict, List import pytest from dataclasses import dataclass import radcad.core as core -from radcad.core import generate_parameter_sweep, reduce_signals +from radcad.core import _get_sweep_len, generate_parameter_sweep, reduce_signals, _nested_asdict from radcad import Model, Simulation, Experiment from radcad.utils import flatten @@ -60,6 +60,115 @@ class P3: assert param_sweep == [P3(**{'a': 0, 'b': 0, 'c': 0}), P3(**{'a': 1, 'b': 1, 'c': 0}), P3(**{'a': 2, 'b': 1, 'c': 0})] +nested_params = { + 'a': { + 'b': 1, + 'c': [2], + 'd': { + 'e': [3, 4], + 'f': 5 + } + }, + 'g': [6, 7, 8], + 'h': 9 +} + +@dataclass +class D: + e: List = default([3, 4]) + f: int = 5 + +@dataclass +class I: + j: Dict = default({ + 'k': 9 + }) + +@dataclass +class H: + i: I = I() + +@dataclass +class NestedDataclassParams: + a: Dict = default({ + 'b': 1, + 'c': [2], + 'd': D(), + }) + g: List = default([6, 7, 8]) + h: H = H() + l: int = 10 + m: D = D() + +nested_dataclass_params = NestedDataclassParams() + + +def test_nested_asdict(): + assert _nested_asdict(nested_dataclass_params) == { + 'a': {'b': 1, 'c': [2], 'd': D()}, + 'g': [6, 7, 8], + 'h': {'i': {'j': {'k': 9}}}, + 'l': 10, + 'm': {'e': [3, 4], 'f': 5} + } + + +def test_get_sweep_len(): + assert _get_sweep_len(nested_params) == 3 + assert _get_sweep_len(_nested_asdict(nested_dataclass_params)) == 3 + + +def test_generate_nested_parameter_sweep(): + assert _get_sweep_len(nested_params) == 3 + + assert generate_parameter_sweep(nested_params) == [ + { + 'a': { + 'b': 1, + 'c': [2], + 'd': { + 'e': [3, 4], + 'f': 5 + } + }, + 'g': 6, + 'h': 9 + }, + { + 'a': { + 'b': 1, + 'c': [2], + 'd': { + 'e': [3, 4], + 'f': 5 + } + }, + 'g': 7, + 'h': 9 + }, + { + 'a': { + 'b': 1, + 'c': [2], + 'd': { + 'e': [3, 4], + 'f': 5 + } + }, + 'g': 8, + 'h': 9 + }, + ] + + +def test_generate_nested_dataclass_parameter_sweep(): + assert generate_parameter_sweep(nested_dataclass_params) == [ + NestedDataclassParams(a={'b': 1, 'c': [2], 'd': D(e=[3, 4], f=5)}, g=6, h=H(i=I(j={'k': 9})), l=10, m=D(e=3, f=5)), + NestedDataclassParams(a={'b': 1, 'c': [2], 'd': D(e=[3, 4], f=5)}, g=7, h=H(i=I(j={'k': 9})), l=10, m=D(e=4, f=5)), + NestedDataclassParams(a={'b': 1, 'c': [2], 'd': D(e=[3, 4], f=5)}, g=8, h=H(i=I(j={'k': 9})), l=10, m=D(e=4, f=5)) + ] + + def test_generate_single_value_dataclass_parameter_sweep(): @dataclass class P0: From 680c0bc67ceeda41c6b26f889cd9af3f3c546ac0 Mon Sep 17 00:00:00 2001 From: BenSchZA Date: Wed, 7 Sep 2022 11:05:06 +0200 Subject: [PATCH 02/18] Update core --- radcad/core.py | 8 ++++---- tests/test_core.py | 3 ++- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/radcad/core.py b/radcad/core.py index 6059dee..d95b038 100644 --- a/radcad/core.py +++ b/radcad/core.py @@ -256,13 +256,13 @@ def _traverse_sweep_params(params: SystemParameters, max_len: int, sweep_index: dict_params = {} if is_dataclass(params): parent_class = params.__class__ - items = params.__dict__.items() + children = params.__dict__.items() elif isinstance(params, dict): - items = params.items() + children = params.items() else: return dict_params - for (key, value) in items: + for (key, value) in children: if is_dataclass(value): value = _traverse_sweep_params(value, max_len, sweep_index) elif not isinstance(value, list): @@ -274,7 +274,7 @@ def _traverse_sweep_params(params: SystemParameters, max_len: int, sweep_index: return parent_class(**dict_params) if parent_class else dict_params -def generate_parameter_sweep(params: SystemParameters) -> List[Dict]: +def generate_parameter_sweep(params: SystemParameters) -> List[SystemParameters]: _is_dataclass = is_dataclass(params) _params = _nested_asdict(params) if _is_dataclass else params max_len = _get_sweep_len(_params) diff --git a/tests/test_core.py b/tests/test_core.py index 015ae99..a74551d 100644 --- a/tests/test_core.py +++ b/tests/test_core.py @@ -162,7 +162,8 @@ def test_generate_nested_parameter_sweep(): def test_generate_nested_dataclass_parameter_sweep(): - assert generate_parameter_sweep(nested_dataclass_params) == [ + parameter_sweep = generate_parameter_sweep(nested_dataclass_params) + assert parameter_sweep == [ NestedDataclassParams(a={'b': 1, 'c': [2], 'd': D(e=[3, 4], f=5)}, g=6, h=H(i=I(j={'k': 9})), l=10, m=D(e=3, f=5)), NestedDataclassParams(a={'b': 1, 'c': [2], 'd': D(e=[3, 4], f=5)}, g=7, h=H(i=I(j={'k': 9})), l=10, m=D(e=4, f=5)), NestedDataclassParams(a={'b': 1, 'c': [2], 'd': D(e=[3, 4], f=5)}, g=8, h=H(i=I(j={'k': 9})), l=10, m=D(e=4, f=5)) From 67894299572cbd9e9acda339e9aba51eff0ec0b0 Mon Sep 17 00:00:00 2001 From: BenSchZA Date: Mon, 12 Sep 2022 17:31:34 +0200 Subject: [PATCH 03/18] Fix _get_sweep_length method --- radcad/core.py | 20 +++++++++++--------- tests/test_core.py | 8 ++++---- 2 files changed, 15 insertions(+), 13 deletions(-) diff --git a/radcad/core.py b/radcad/core.py index d95b038..a533345 100644 --- a/radcad/core.py +++ b/radcad/core.py @@ -2,7 +2,7 @@ import logging import pickle import traceback -from typing import Dict, List, Tuple, Callable +from typing import Dict, Iterator, List, Tuple, Callable from dataclasses import is_dataclass from radcad.types import Dataclass, PolicySignal, SimulationResults, StateUpdate, StateUpdateBlock, StateVariables, SystemParameters from radcad.utils import extend_list @@ -182,15 +182,17 @@ def _single_run_wrapper(args): return [], e -def _get_sweep_len(params: Dict, max_len: int=1) -> int: +def _get_sweep_lengths(params: Dict) -> Iterator[int]: for value in params.values(): if isinstance(value, dict): - _get_sweep_len(value, max_len) - elif isinstance(value, list) and len(value) > max_len: - max_len = len(value) - else: - continue - return max_len + yield from _get_sweep_lengths(value) + elif isinstance(value, list): + yield len(value) + + +def _get_sweep_length(params: Dict) -> int: + sweep_lengths = list(_get_sweep_lengths(params)) + return max(sweep_lengths) if sweep_lengths else 1 def _nested_asdict(params: Dataclass) -> Dict: @@ -277,7 +279,7 @@ def _traverse_sweep_params(params: SystemParameters, max_len: int, sweep_index: def generate_parameter_sweep(params: SystemParameters) -> List[SystemParameters]: _is_dataclass = is_dataclass(params) _params = _nested_asdict(params) if _is_dataclass else params - max_len = _get_sweep_len(_params) + max_len = _get_sweep_length(_params) param_sweep = [] for sweep_index in range(0, max_len): diff --git a/tests/test_core.py b/tests/test_core.py index a74551d..105bab0 100644 --- a/tests/test_core.py +++ b/tests/test_core.py @@ -3,7 +3,7 @@ from dataclasses import dataclass import radcad.core as core -from radcad.core import _get_sweep_len, generate_parameter_sweep, reduce_signals, _nested_asdict +from radcad.core import _get_sweep_length, generate_parameter_sweep, reduce_signals, _nested_asdict from radcad import Model, Simulation, Experiment from radcad.utils import flatten @@ -114,12 +114,12 @@ def test_nested_asdict(): def test_get_sweep_len(): - assert _get_sweep_len(nested_params) == 3 - assert _get_sweep_len(_nested_asdict(nested_dataclass_params)) == 3 + assert _get_sweep_length(nested_params) == 3 + assert _get_sweep_length(_nested_asdict(nested_dataclass_params)) == 3 def test_generate_nested_parameter_sweep(): - assert _get_sweep_len(nested_params) == 3 + assert _get_sweep_length(nested_params) == 3 assert generate_parameter_sweep(nested_params) == [ { From 621f288db005bea0b85cdd258560689758df92e5 Mon Sep 17 00:00:00 2001 From: BenSchZA Date: Tue, 13 Sep 2022 17:11:42 +0200 Subject: [PATCH 04/18] Update radCAD hook logic --- radcad/engine.py | 59 +++++++++++++++++++++------------------------ tests/test_hooks.py | 35 +++++++++++++++++++++++++++ 2 files changed, 63 insertions(+), 31 deletions(-) diff --git a/radcad/engine.py b/radcad/engine.py index 38ebf95..95f4d09 100644 --- a/radcad/engine.py +++ b/radcad/engine.py @@ -47,22 +47,10 @@ def _run(self, executable=None, **kwargs): simulations = executable.simulations if isinstance(executable, wrappers.Experiment) else [executable] if not isinstance(self.backend, Backend): raise Exception(f"Execution backend must be one of {Backend.list()}") - configs = [ - ( - sim.model.initial_state, - sim.model.state_update_blocks, - sim.model.params, - sim.timesteps, - sim.runs, - ) - for sim in simulations - ] - - result = [] self.executable._before_experiment(experiment=(executable if isinstance(executable, wrappers.Experiment) else None)) - self._run_generator = self._run_stream(configs) + self._run_generator = self._run_stream(simulations) # Select backend executor if self.backend in [Backend.RAY, Backend.RAY_REMOTE]: @@ -85,16 +73,7 @@ def _run(self, executable=None, **kwargs): self.executable._after_experiment(experiment=(executable if isinstance(executable, wrappers.Experiment) else None)) return self.executable.results - def _get_simulation_from_config(config): - states, state_update_blocks, params, timesteps, runs = config - model = wrappers.Model( - initial_state=states, state_update_blocks=state_update_blocks, params=params - ) - return wrappers.Simulation(model=model, timesteps=timesteps, runs=runs) - - def _run_stream(self, configs): - simulations = [Engine._get_simulation_from_config(config) for config in configs] - + def _run_stream(self, simulations): for simulation_index, simulation in enumerate(simulations): simulation.index = simulation_index @@ -112,17 +91,27 @@ def _run_stream(self, configs): parameters=params, # NOTE Each parameter is a list of all subsets in before_run() method and a single subset in before_subset() state_update_blocks=state_update_blocks, )) - self.executable._before_simulation( - context=context, - ) + + # For each hook, Experiment setting takes preference over Simulation setting + # Before simulation hook + before_simulation = self.executable.before_simulation or simulation.before_simulation + if before_simulation: before_simulation(context=context) for run_index in range(0, runs): context.run = run_index + 1 # +1 to remain compatible with cadCAD implementation - self.executable._before_run(context=context) + + # Before run hook + before_run = self.executable.before_run or simulation.before_run + if before_run: before_run(context=context) + for subset_index, param_set in enumerate(param_sweep if param_sweep else [params]): context.subset = subset_index context.parameters = param_set - self.executable._before_subset(context=context) + + # Before subset hook + before_subset = self.executable.before_subset or simulation.before_subset + if before_subset: before_subset(context=context) + yield copy.deepcopy(wrappers.RunArgs( # Model / simulation settings simulation=context.simulation, @@ -137,7 +126,15 @@ def _run_stream(self, configs): deepcopy_method=self.deepcopy_method, drop_substeps=self.drop_substeps, )) - self.executable._after_subset(context=context) - self.executable._after_run(context=context) - self.executable._after_simulation(context=context) + # After subset hook + after_subset = self.executable.after_subset or simulation.after_subset + if after_subset: after_subset(context=context) + + # After run hook + after_run = self.executable.after_run or simulation.after_run + if after_run: after_run(context=context) + + # After simulation hook + after_simulation = self.executable.after_simulation or simulation.after_simulation + if after_simulation: after_simulation(context=context) diff --git a/tests/test_hooks.py b/tests/test_hooks.py index 160c56c..85fbe75 100644 --- a/tests/test_hooks.py +++ b/tests/test_hooks.py @@ -146,3 +146,38 @@ def set_initial_state(context: Context): df = pd.DataFrame(results) assert (df['a'] == df['run']).all() + + +def test_hook_experiment_override(): + states = { + 'a': 1 + } + state_update_blocks = [{ + 'policies': {}, + 'variables': {} + }] + TIMESTEPS = 10 + RUNS = 5 + + model = Model(initial_state=states, state_update_blocks=state_update_blocks, params={}) + simulation = Simulation(model=model, timesteps=TIMESTEPS, runs=RUNS) + experiment = Experiment(simulations=[simulation, simulation]) + + def set_initial_state_a(context: Context): + context.initial_state['a'] = 1 + + def set_initial_state_b(context: Context): + context.initial_state['a'] = 2 + + simulation.before_subset = set_initial_state_a + experiment.before_subset = set_initial_state_b + + results_b = experiment.run() + df_b = pd.DataFrame(results_b) + + assert (df_b['a'] == 2).all() + + results_a = simulation.run() + df_a = pd.DataFrame(results_a) + + assert (df_a['a'] == 1).all() From 4fb62d15372233062855f71c59ac23947aed9057 Mon Sep 17 00:00:00 2001 From: BenSchZA Date: Fri, 16 Sep 2022 15:51:43 +0200 Subject: [PATCH 05/18] Update software architecture with SimulationExecution class --- radcad/__init__.py | 3 +- radcad/backends/multiprocessing.py | 7 +- radcad/backends/pathos.py | 7 +- radcad/backends/single_process.py | 4 +- radcad/core.py | 506 ++++++++++++----------------- radcad/engine.py | 63 ++-- radcad/extensions/backends/ray.py | 16 +- radcad/types.py | 21 +- radcad/utils.py | 113 ++++++- radcad/wrappers.py | 60 +--- tests/test_backend.py | 10 +- tests/test_core.py | 6 +- tests/test_dataclass_params.py | 3 +- tests/test_hooks.py | 3 +- 14 files changed, 411 insertions(+), 411 deletions(-) diff --git a/radcad/__init__.py b/radcad/__init__.py index b58bb7f..143ec74 100644 --- a/radcad/__init__.py +++ b/radcad/__init__.py @@ -1,5 +1,6 @@ __version__ = "0.12.0" -from radcad.wrappers import Context, Model, Simulation, Experiment +from radcad.wrappers import Model, Simulation, Experiment +from radcad.types import Context from radcad.engine import Engine from radcad.backends import Backend diff --git a/radcad/backends/multiprocessing.py b/radcad/backends/multiprocessing.py index b149cb3..b85835a 100644 --- a/radcad/backends/multiprocessing.py +++ b/radcad/backends/multiprocessing.py @@ -10,11 +10,8 @@ def execute_runs(self): processes=self.engine.processes ) as pool: result = pool.map( - core._single_run_wrapper, - [ - (config, self.engine.raise_exceptions) - for config in self.engine._run_generator - ], + core.multiprocess_wrapper, + self.engine._run_generator, ) pool.close() pool.join() diff --git a/radcad/backends/pathos.py b/radcad/backends/pathos.py index 7d086cb..6746f9b 100644 --- a/radcad/backends/pathos.py +++ b/radcad/backends/pathos.py @@ -19,11 +19,8 @@ def __init__(self, engine): def execute_runs(self): with ProcessPool(self.engine.processes) as pool: result = pool.map( - core._single_run_wrapper, - [ - (config, self.engine.raise_exceptions) - for config in self.engine._run_generator - ], + core.multiprocess_wrapper, + self.engine._run_generator, ) pool.close() pool.join() diff --git a/radcad/backends/single_process.py b/radcad/backends/single_process.py index fd5c00b..0aa5a8c 100644 --- a/radcad/backends/single_process.py +++ b/radcad/backends/single_process.py @@ -5,7 +5,7 @@ class ExecutorSingleProcess(Executor): def execute_runs(self): result = [ - core._single_run_wrapper((config, self.engine.raise_exceptions)) - for config in self.engine._run_generator + core.multiprocess_wrapper(simulation_execution) + for simulation_execution in self.engine._run_generator ] return result diff --git a/radcad/core.py b/radcad/core.py index a533345..59b44c0 100644 --- a/radcad/core.py +++ b/radcad/core.py @@ -1,325 +1,225 @@ -from functools import reduce, partial import logging import pickle import traceback -from typing import Dict, Iterator, List, Tuple, Callable -from dataclasses import is_dataclass -from radcad.types import Dataclass, PolicySignal, SimulationResults, StateUpdate, StateUpdateBlock, StateVariables, SystemParameters -from radcad.utils import extend_list - - -# Use "radCAD" logging instance to avoid conflict with other projects -logger = logging.getLogger("radCAD") - -# Define the default method used for deepcopy operations -# Must be a function and not a lambda function to ensure multiprocessing can Pickle the object -def default_deepcopy_method(obj): - return pickle.loads(pickle.dumps(obj=obj, protocol=-1)) - - -def _update_state( - initial_state: StateVariables, - params: SystemParameters, - substep: int, - result: SimulationResults, - substate: StateVariables, - signals: PolicySignal, - deepcopy: bool, - deepcopy_method: Callable, - state_update_tuple: StateUpdate, -) -> StateUpdate: - _substate = deepcopy_method(substate) if deepcopy else substate.copy() - _signals = deepcopy_method(signals) if deepcopy else signals.copy() +from dataclasses import dataclass +from functools import reduce +from typing import Any, List + +from radcad.types import (PolicySignal, SimulationResults, StateUpdate, + StateUpdateBlock, StateUpdateResult, StateVariables, + SystemParameters) +from radcad.utils import default + + +@dataclass +class SimulationExecution: + # Simulation settings + initial_state: StateVariables = default({}) + params: SystemParameters = default({}) + state_update_blocks: List[StateUpdateBlock] = default([]) + timesteps: int = 0 + + # Execution settings + enable_deepcopy: bool = True + drop_substeps: bool = False + raise_exceptions: bool = True + logger = logging.getLogger("radCAD") + """Use "radCAD" logging instance to avoid conflict with other projects""" + + # Simulation state + simulation_index: int = 0 + subset_index: int = 0 + run_index: int = 1 + """ + Index starts at +1 to remain compatible with cadCAD implementation + """ - state, function = state_update_tuple - if not state in initial_state: - raise KeyError(f"Invalid state key {state} in partial state update block") - state_key, state_value = function( - params, substep, result, _substate, _signals - ) - if not state_key in initial_state: - raise KeyError( - f"Invalid state key {state} returned from state update function" + # Simulation runtime state + timestep: int = None + substep_index: int = None + previous_state: StateVariables = None + substeps: List[StateVariables] = None + result: SimulationResults = default([]) + + def execute( + self, + ) -> SimulationResults: + self.before_execution() + self.initialise_state() + + for timestep in range(0, self.timesteps): + self.timestep = timestep + + self.before_step() + self.process_substeps(self.step()) + self.after_step() + + self.after_execution() + return self.result + + def initialise_state(self): + self.initial_state["simulation"] = self.simulation_index + self.initial_state["subset"] = self.subset_index + self.initial_state["run"] = self.run_index + self.initial_state["substep"] = 0 + # Needed to properly handle model generator + if not self.initial_state.get("timestep", False): + self.initial_state["timestep"] = 0 + + self.result.append([self.initial_state]) + + def step(self) -> List[StateVariables]: + self.previous_state: StateVariables = ( + self.result[0][0].copy() + if self.timestep == 0 + else self.result[-1][-1:][0].copy() ) - if state == state_key: - return (state_key, state_value) - else: - raise KeyError( - f"PSU state key {state} doesn't match function state key {state_key}" - ) - -def _single_run( - result: SimulationResults, - simulation: int, - timesteps: int, - run: int, - subset: int, - initial_state: StateVariables, - state_update_blocks: List[StateUpdateBlock], - params: SystemParameters, - deepcopy: bool, - deepcopy_method: Callable, - drop_substeps: bool, -) -> SimulationResults: - logger.info(f"Starting simulation {simulation} / run {run} / subset {subset}") + self.substeps: List = [] + for (substep, state_update_block) in enumerate(self.state_update_blocks): + self.substep_index = substep + self.substep(state_update_block) - initial_state["simulation"] = simulation - initial_state["subset"] = subset - initial_state["run"] = run - initial_state["substep"] = 0 - if not initial_state.get("timestep", False): - initial_state["timestep"] = 0 + return self.substeps or [self.previous_state.copy()] - result.append([initial_state]) + def process_substeps(self, substeps: List[StateVariables]) -> None: + self.result.append(substeps if not self.drop_substeps else [substeps.pop()]) - for timestep in range(0, timesteps): - previous_state: dict = ( - result[0][0].copy() - if timestep == 0 - else result[-1][-1:][0].copy() + def substep(self, state_update_block: StateUpdateBlock) -> None: + substate: StateVariables = ( + self.previous_state.copy() if self.substep_index == 0 else self.substeps[self.substep_index - 1].copy() ) - substeps: list = [] - substate: dict = previous_state.copy() + signals: PolicySignal = self.execute_policies(substate, state_update_block) + + updated_state: List[StateUpdateResult] = [ + self.update_state(substate, signals, state_update) + for state_update in state_update_block["variables"].items() + ] + self.process_updated_state(substate, updated_state) + + def process_updated_state(self, substate: StateVariables, updated_state: List[StateUpdateResult]) -> None: + substate.update(updated_state) + substate["timestep"] = (self.previous_state["timestep"] + 1) if self.timestep == 0 else self.timestep + 1 + substate["substep"] = self.substep_index + 1 + self.substeps.append(substate) + + def execute_policies( + self, + substate: StateVariables, + state_update_block: StateUpdateBlock, + ) -> PolicySignal: + policy_results: List[PolicySignal] = list( + map(lambda function: function( + self.params, + self.substep, + self.result, + self.deepcopy_method(substate) if self.enable_deepcopy else substate.copy() + ), state_update_block["policies"].values()) + ) - for (substep, psu) in enumerate(state_update_blocks): - substate: dict = ( - previous_state.copy() if substep == 0 else substeps[substep - 1].copy() - ) - - signals: dict = reduce_signals( - params, substep, result, substate, psu, deepcopy, deepcopy_method + result: dict = {} + result_length = len(policy_results) + if result_length == 0: + return result + elif result_length == 1: + return policy_results[0] + else: + return reduce(SimulationExecution.add_signals, policy_results, result) + + def update_state( + self, + substate: StateVariables, + signals: PolicySignal, + state_update: StateUpdate, + ) -> StateUpdateResult: + _substate = self.deepcopy_method(substate) if self.enable_deepcopy else substate.copy() + _signals = self.deepcopy_method(signals) if self.enable_deepcopy else signals.copy() + + state, function = state_update + if not state in self.initial_state: + raise KeyError(f"Invalid state key {state} in partial state update block") + state_key, state_value = function( + self.params, self.substep, self.result, _substate, _signals + ) + if not state_key in self.initial_state: + raise KeyError( + f"Invalid state key {state} returned from state update function" ) - - updated_state = map( - partial( - _update_state, - initial_state, - params, - substep, - result, - substate, - signals, - deepcopy, - deepcopy_method, - ), - psu["variables"].items() + if state == state_key: + return (state_key, state_value) + else: + raise KeyError( + f"PSU state key {state} doesn't match function state key {state_key}" ) - - substate.update(updated_state) - substate["timestep"] = (previous_state["timestep"] + 1) if timestep == 0 else timestep + 1 - substate["substep"] = substep + 1 - substeps.append(substate) - - substeps = [substate] if not substeps else substeps - result.append(substeps if not drop_substeps else [substeps.pop()]) - return result - - -def single_run( - simulation: int=0, - timesteps: int=1, - run: int=0, - subset: int=0, - initial_state: StateVariables={}, - state_update_blocks: List[StateUpdateBlock]=[], - params: SystemParameters={}, - deepcopy: bool=True, - deepcopy_method: Callable=default_deepcopy_method, - drop_substeps: bool=False, -) -> Tuple[list, Exception, str]: - result = [] + @staticmethod + def add_signals(acc: PolicySignal, a: PolicySignal) -> PolicySignal: + for (key, value) in a.items(): + if acc.get(key, None): + acc[key] += value + else: + acc[key] = value + return acc + + @staticmethod + def deepcopy_method(obj) -> Any: + """ + Define the default method used for deepcopy operations + Must be a function and not a lambda function to ensure multiprocessing can Pickle the object + """ + return pickle.loads(pickle.dumps(obj=obj, protocol=-1)) + + def before_execution(self) -> None: + self.logger.info(f"Starting simulation {self.simulation_index} / run {self.run_index} / subset {self.subset_index}") + + def before_step(self) -> None: + pass + + def after_step(self) -> None: + pass + + def after_execution(self) -> None: + pass + + +def multiprocess_wrapper(simulation_execution: SimulationExecution): + exception = None + trace = None try: - return ( - _single_run( - result, - simulation, - timesteps, - run, - subset, - initial_state, - state_update_blocks, - params, - deepcopy, - deepcopy_method, - drop_substeps, - ), - None, # Error - None, # Traceback - ) - except Exception as error: - trace = traceback.format_exc() - print(trace) - logger.warning( - f"Simulation {simulation} / run {run} / subset {subset} failed! Returning partial results if Engine.raise_exceptions == False." - ) - return (result, error, trace) - - -def _single_run_wrapper(args): - run_args, raise_exceptions = args - try: - results, exception, traceback = single_run(*tuple(run_args)) - if raise_exceptions and exception: + try: + simulation_execution.execute() + except Exception as _exception: + trace = traceback.format_exc() + exception = _exception + print(trace) + simulation_execution.logger.warning( + f"""Simulation { + simulation_execution.simulation_index + } / run { + simulation_execution.run_index + } / subset { + simulation_execution.subset_index + } failed! Returning partial results if Engine.raise_exceptions == False.""" + ) + if simulation_execution.raise_exceptions and exception: raise exception else: - return results, { - 'exception': exception, - 'traceback': traceback, - 'simulation': run_args.simulation, - 'run': run_args.run, - 'subset': run_args.subset, - 'timesteps': run_args.timesteps, - 'parameters': run_args.parameters, - 'initial_state': run_args.initial_state, - } + return simulation_execution.result, { + 'exception': exception, + 'traceback': trace, + 'simulation': simulation_execution.simulation_index, + 'run': simulation_execution.run_index, + 'subset': simulation_execution.subset_index, + 'timesteps': simulation_execution.timesteps, + 'parameters': simulation_execution.params, + 'initial_state': simulation_execution.initial_state, + } except Exception as e: - if raise_exceptions: + """ + Fail safe by catching catch any outer exceptions + """ + if simulation_execution.raise_exceptions: raise e else: return [], e - - -def _get_sweep_lengths(params: Dict) -> Iterator[int]: - for value in params.values(): - if isinstance(value, dict): - yield from _get_sweep_lengths(value) - elif isinstance(value, list): - yield len(value) - - -def _get_sweep_length(params: Dict) -> int: - sweep_lengths = list(_get_sweep_lengths(params)) - return max(sweep_lengths) if sweep_lengths else 1 - - -def _nested_asdict(params: Dataclass) -> Dict: - """ - Recursively follow any continuous nested chain of dataclasses - converting to dictionaries, e.g.: - - @dataclass - class D: - e = [3, 4] - f = 5 - - @dataclass - class I: - j: int = 9 - - @dataclass - class H: - i: I = I() - - @dataclass - class NestedParams: - a: dict = default({ - 'b': 1, - 'c': [2], - 'd': D(), - }) - g: list = default([6, 7, 8]) - h: list = H() - - _nested_asdict(NestedParams()) == { - 'a': {'b': 1, 'c': [2], 'd': D()}, - 'g': [6, 7, 8], - 'h': {'i': {'j': 9}} - } - """ - dict_params = {} - if is_dataclass(params): - for (key, value) in params.__dict__.items(): - if is_dataclass(value): - value = _nested_asdict(value) - dict_params[key] = value - return dict_params - - -def _traverse_params(params: SystemParameters) -> SystemParameters: - parent_class = None - dict_params = {} - if is_dataclass(params): - parent_class = params.__class__ - for (key, value) in params.__dict__.items(): - if is_dataclass(value): - value = _traverse_params(value) - elif not isinstance(value, list): - value = [value] - dict_params[key] = value - - return parent_class(**dict_params) if parent_class else dict_params - - -def _traverse_sweep_params(params: SystemParameters, max_len: int, sweep_index: int): - parent_class = None - dict_params = {} - if is_dataclass(params): - parent_class = params.__class__ - children = params.__dict__.items() - elif isinstance(params, dict): - children = params.items() - else: - return dict_params - - for (key, value) in children: - if is_dataclass(value): - value = _traverse_sweep_params(value, max_len, sweep_index) - elif not isinstance(value, list): - value = [value] - if isinstance(value, list): - value = extend_list(value, max_len)[sweep_index] - dict_params[key] = value - - return parent_class(**dict_params) if parent_class else dict_params - - -def generate_parameter_sweep(params: SystemParameters) -> List[SystemParameters]: - _is_dataclass = is_dataclass(params) - _params = _nested_asdict(params) if _is_dataclass else params - max_len = _get_sweep_length(_params) - - param_sweep = [] - for sweep_index in range(0, max_len): - param_set = _traverse_sweep_params(params, max_len, sweep_index) - param_sweep.append(param_set) - return param_sweep - - -def _add_signals(acc: PolicySignal, a: PolicySignal) -> PolicySignal: - for (key, value) in a.items(): - if acc.get(key, None): - acc[key] += value - else: - acc[key] = value - return acc - - -def reduce_signals( - params: SystemParameters, - substep: int, - result: list, - substate: StateVariables, - psu: StateUpdateBlock, - deepcopy: bool=True, - deepcopy_method: Callable=default_deepcopy_method -) -> PolicySignal: - policy_results: List[PolicySignal] = list( - map(lambda function: function( - params, - substep, - result, - deepcopy_method(substate) if deepcopy else substate.copy() - ), psu["policies"].values()) - ) - - result: dict = {} - result_length = len(policy_results) - if result_length == 0: - return result - elif result_length == 1: - return policy_results[0] - else: - return reduce(_add_signals, policy_results, result) diff --git a/radcad/engine.py b/radcad/engine.py index 95f4d09..259989d 100644 --- a/radcad/engine.py +++ b/radcad/engine.py @@ -1,12 +1,15 @@ +import copy +import multiprocessing +from dataclasses import replace +from typing import Iterator + import radcad.core as core +import radcad.types +import radcad.utils as utils import radcad.wrappers as wrappers from radcad.backends import Backend from radcad.utils import extract_exceptions -import multiprocessing -import copy - - # Get machine CPU count cpu_count = multiprocessing.cpu_count() - 1 or 1 @@ -29,10 +32,17 @@ def __init__(self, **kwargs): self.backend = kwargs.pop("backend", Backend.DEFAULT) self.raise_exceptions = kwargs.pop("raise_exceptions", True) self.deepcopy = kwargs.pop("deepcopy", True) - self.deepcopy_method = kwargs.pop("deepcopy_method", core.default_deepcopy_method) + self.deepcopy_method = kwargs.pop("deepcopy_method", core.SimulationExecution.deepcopy_method) self.drop_substeps = kwargs.pop("drop_substeps", False) self._run_generator = iter(()) + self.simulation_execution = core.SimulationExecution( + enable_deepcopy=self.deepcopy, + drop_substeps=self.drop_substeps, + raise_exceptions=self.raise_exceptions, + ) + self.simulation_execution.deepcopy_method = self.deepcopy_method + if kwargs: raise Exception(f"Invalid Engine option in {kwargs}") @@ -46,7 +56,7 @@ def _run(self, executable=None, **kwargs): simulations = executable.simulations if isinstance(executable, wrappers.Experiment) else [executable] if not isinstance(self.backend, Backend): - raise Exception(f"Execution backend must be one of {Backend.list()}") + raise Exception(f"Execution backend must be one of {Backend._member_names_}, not {self.backend}") self.executable._before_experiment(experiment=(executable if isinstance(executable, wrappers.Experiment) else None)) @@ -55,15 +65,19 @@ def _run(self, executable=None, **kwargs): # Select backend executor if self.backend in [Backend.RAY, Backend.RAY_REMOTE]: if self.backend == Backend.RAY_REMOTE: - from radcad.extensions.backends.ray import ExecutorRayRemote as Executor + from radcad.extensions.backends.ray import \ + ExecutorRayRemote as Executor else: - from radcad.extensions.backends.ray import ExecutorRay as Executor + from radcad.extensions.backends.ray import \ + ExecutorRay as Executor elif self.backend in [Backend.PATHOS, Backend.DEFAULT]: from radcad.backends.pathos import ExecutorPathos as Executor elif self.backend in [Backend.MULTIPROCESSING]: - from radcad.backends.multiprocessing import ExecutorMultiprocessing as Executor + from radcad.backends.multiprocessing import \ + ExecutorMultiprocessing as Executor elif self.backend in [Backend.SINGLE_PROCESS]: - from radcad.backends.single_process import ExecutorSingleProcess as Executor + from radcad.backends.single_process import \ + ExecutorSingleProcess as Executor else: raise Exception(f"Execution backend must be one of {Backend._member_names_}, not {self.backend}") @@ -73,7 +87,7 @@ def _run(self, executable=None, **kwargs): self.executable._after_experiment(experiment=(executable if isinstance(executable, wrappers.Experiment) else None)) return self.executable.results - def _run_stream(self, simulations): + def _run_stream(self, simulations) -> Iterator[core.SimulationExecution]: for simulation_index, simulation in enumerate(simulations): simulation.index = simulation_index @@ -82,9 +96,9 @@ def _run_stream(self, simulations): initial_state = simulation.model.initial_state state_update_blocks = simulation.model.state_update_blocks params = simulation.model.params - param_sweep = core.generate_parameter_sweep(params) + param_sweep = utils.generate_parameter_sweep(params) - context = copy.deepcopy(wrappers.Context( + context = copy.deepcopy(radcad.types.Context( simulation=simulation_index, timesteps=timesteps, initial_state=initial_state, @@ -112,20 +126,15 @@ def _run_stream(self, simulations): before_subset = self.executable.before_subset or simulation.before_subset if before_subset: before_subset(context=context) - yield copy.deepcopy(wrappers.RunArgs( - # Model / simulation settings - simulation=context.simulation, - timesteps=context.timesteps, - run=context.run, - subset=context.subset, - initial_state=context.initial_state, - state_update_blocks=context.state_update_blocks, - parameters=context.parameters, - # Execution settings - deepcopy=self.deepcopy, - deepcopy_method=self.deepcopy_method, - drop_substeps=self.drop_substeps, - )) + self.simulation_execution.simulation_index = context.simulation + self.simulation_execution.timesteps = context.timesteps + self.simulation_execution.run_index = context.run + self.simulation_execution.subset_index = context.subset + self.simulation_execution.initial_state = context.initial_state + self.simulation_execution.state_update_blocks = context.state_update_blocks + self.simulation_execution.params = context.parameters + + yield copy.deepcopy(self.simulation_execution) # After subset hook after_subset = self.executable.after_subset or simulation.after_subset diff --git a/radcad/extensions/backends/ray.py b/radcad/extensions/backends/ray.py index eef6fb1..0e7acda 100644 --- a/radcad/extensions/backends/ray.py +++ b/radcad/extensions/backends/ray.py @@ -16,28 +16,28 @@ class ExecutorRay(Executor): @ray.remote - def _proxy_single_run(args): - return core._single_run_wrapper(args) + def _proxy_single_run(run_args): + return core.multiprocess_wrapper(run_args) def execute_runs(self): ray.init(num_cpus=self.engine.processes, ignore_reinit_error=True) futures = [ - ExecutorRay._proxy_single_run.remote((config, self.engine.raise_exceptions)) - for config in self.engine._run_generator + ExecutorRay._proxy_single_run.remote(run_args) + for run_args in self.engine._run_generator ] return ray.get(futures) class ExecutorRayRemote(Executor): @ray.remote - def _proxy_single_run(args): - return core._single_run_wrapper(args) + def _proxy_single_run(run_args): + return core.multiprocess_wrapper(run_args) def execute_runs(self): print( "Using Ray remote backend, please ensure you've initialized Ray using ray.init(address=***, ...)" ) futures = [ - ExecutorRayRemote._proxy_single_run.remote((config, self.engine.raise_exceptions)) - for config in self.engine._run_generator + ExecutorRayRemote._proxy_single_run.remote(run_args) + for run_args in self.engine._run_generator ] return ray.get(futures) diff --git a/radcad/types.py b/radcad/types.py index 07ae563..18a43bf 100644 --- a/radcad/types.py +++ b/radcad/types.py @@ -1,4 +1,5 @@ -from typing import Any, Callable, Dict, List, Tuple, Union +from dataclasses import dataclass +from typing import Any, Callable, Dict, List, Tuple, Union, NamedTuple from typing_extensions import Protocol @@ -7,9 +8,25 @@ class Dataclass(Protocol): # the most reliable way to ascertain that something is a dataclass __dataclass_fields__: Dict + StateUpdateBlock = Dict[str, Dict[str, Callable]] SystemParameters = Union[Dict[str, List[Any]], Dataclass] StateVariables = Dict[str, Any] SimulationResults = List[List[Dict[str, Any]]] PolicySignal = Dict[str, Any] -StateUpdate = Tuple[str, Any] +StateUpdate = Tuple[str, Callable] +StateUpdateResult = Tuple[str, Any] + + +@dataclass +class Context: + """ + Mutable context passed to simulation hooks + """ + simulation: int = None + run: int = None + subset: int = None + timesteps: int = None + initial_state: StateVariables = None + parameters: SystemParameters = None + state_update_blocks: List[StateUpdateBlock] = None diff --git a/radcad/utils.py b/radcad/utils.py index 04a3e4f..3091d5f 100644 --- a/radcad/utils.py +++ b/radcad/utils.py @@ -1,8 +1,11 @@ -import itertools import copy import datetime -from dataclasses import field +import itertools +from dataclasses import field, is_dataclass from functools import partial +from typing import Dict, Iterator, List + +from radcad.types import Dataclass, SystemParameters def flatten(nested_list): @@ -37,6 +40,112 @@ def generate_cartesian_product_parameter_sweep(params): return param_sweep +def _get_sweep_lengths(params: Dict) -> Iterator[int]: + for value in params.values(): + if isinstance(value, dict): + yield from _get_sweep_lengths(value) + elif isinstance(value, list): + yield len(value) + + +def _get_sweep_length(params: Dict) -> int: + sweep_lengths = list(_get_sweep_lengths(params)) + return max(sweep_lengths) if sweep_lengths else 1 + + +def _nested_asdict(params: Dataclass) -> Dict: + """ + Recursively follow any continuous nested chain of dataclasses + converting to dictionaries, e.g.: + + @dataclass + class D: + e = [3, 4] + f = 5 + + @dataclass + class I: + j: int = 9 + + @dataclass + class H: + i: I = I() + + @dataclass + class NestedParams: + a: dict = default({ + 'b': 1, + 'c': [2], + 'd': D(), + }) + g: list = default([6, 7, 8]) + h: list = H() + + _nested_asdict(NestedParams()) == { + 'a': {'b': 1, 'c': [2], 'd': D()}, + 'g': [6, 7, 8], + 'h': {'i': {'j': 9}} + } + """ + dict_params = {} + if is_dataclass(params): + for (key, value) in params.__dict__.items(): + if is_dataclass(value): + value = _nested_asdict(value) + dict_params[key] = value + return dict_params + + +def _traverse_params(params: SystemParameters) -> SystemParameters: + parent_class = None + dict_params = {} + if is_dataclass(params): + parent_class = params.__class__ + for (key, value) in params.__dict__.items(): + if is_dataclass(value): + value = _traverse_params(value) + elif not isinstance(value, list): + value = [value] + dict_params[key] = value + + return parent_class(**dict_params) if parent_class else dict_params + + +def _traverse_sweep_params(params: SystemParameters, max_len: int, sweep_index: int): + parent_class = None + dict_params = {} + if is_dataclass(params): + parent_class = params.__class__ + children = params.__dict__.items() + elif isinstance(params, dict): + children = params.items() + else: + return dict_params + + for (key, value) in children: + if is_dataclass(value): + value = _traverse_sweep_params(value, max_len, sweep_index) + elif not isinstance(value, list): + value = [value] + if isinstance(value, list): + value = extend_list(value, max_len)[sweep_index] + dict_params[key] = value + + return parent_class(**dict_params) if parent_class else dict_params + + +def generate_parameter_sweep(params: SystemParameters) -> List[SystemParameters]: + _is_dataclass = is_dataclass(params) + _params = _nested_asdict(params) if _is_dataclass else params + max_len = _get_sweep_length(_params) + + param_sweep = [] + for sweep_index in range(0, max_len): + param_set = _traverse_sweep_params(params, max_len, sweep_index) + param_sweep.append(param_set) + return param_sweep + + def _update_from_signal( state_variable, signal_key, diff --git a/radcad/wrappers.py b/radcad/wrappers.py index 53718ba..ab302de 100644 --- a/radcad/wrappers.py +++ b/radcad/wrappers.py @@ -1,39 +1,9 @@ -from typing import List, NamedTuple -from radcad.core import _single_run_wrapper, generate_parameter_sweep, default_deepcopy_method -from radcad.engine import Engine import copy -from dataclasses import dataclass -from radcad.types import SimulationResults, StateUpdateBlock, StateVariables, SystemParameters - -class RunArgs(NamedTuple): - """ - Immutable arguments passed to each simulation run - """ - simulation: int = None - timesteps: int = None - run: int = None - subset: int = None - initial_state: StateVariables = None - state_update_blocks: List[StateUpdateBlock] = None - parameters: SystemParameters = None - deepcopy: bool = None - deepcopy_method: bool = None - drop_substeps: bool = None - - -@dataclass -class Context: - """ - Mutable context passed to simulation hooks - """ - simulation: int = None - run: int = None - subset: int = None - timesteps: int = None - initial_state: StateVariables = None - parameters: SystemParameters = None - state_update_blocks: List[StateUpdateBlock] = None +from radcad.core import SimulationExecution, multiprocess_wrapper +from radcad.engine import Engine +from radcad.types import Context, SimulationResults +from radcad.utils import generate_parameter_sweep class Model: @@ -53,26 +23,26 @@ def __init__(self, initial_state={}, state_update_blocks=[], params={}): self.exceptions = [] self._raise_exceptions = True self._deepcopy = True - self._deepcopy_method = default_deepcopy_method + self._deepcopy_method = SimulationExecution.deepcopy_method self._drop_substeps = False def __iter__(self): + param_sweep = generate_parameter_sweep(self.params) while True: - param_sweep = generate_parameter_sweep(self.params) _params = param_sweep[0] if param_sweep else {} - run_args = RunArgs( - simulation = 0, + simulation_execution = SimulationExecution( + # Model / simulation settings timesteps = 1, - run = 1, # +1 to remain compatible with cadCAD implementation - subset = 0, initial_state = copy.deepcopy(self.state), state_update_blocks = self.state_update_blocks, - parameters = _params, - deepcopy = self._deepcopy, - deepcopy_method = self._deepcopy_method, + params = _params, + # Execution settings + enable_deepcopy = self._deepcopy, drop_substeps = self._drop_substeps, + raise_exceptions = self._raise_exceptions, ) - result, exception = _single_run_wrapper((run_args, self._raise_exceptions)) + simulation_execution.deepcopy_method = self._deepcopy_method + result, exception = multiprocess_wrapper(simulation_execution) if exception: self.exceptions.append(exception) self.substeps = result.pop() self.state = self.substeps[-1] if self.substeps else self.state @@ -81,7 +51,7 @@ def __iter__(self): def __call__(self, **kwargs): self._raise_exceptions = kwargs.pop("raise_exceptions", True) self._deepcopy = kwargs.pop("deepcopy", True) - self._deepcopy_method = kwargs.pop("deepcopy_method", default_deepcopy_method) + self._deepcopy_method = kwargs.pop("deepcopy_method", SimulationExecution.deepcopy_method) self._drop_substeps = kwargs.pop("drop_substeps", False) return self diff --git a/tests/test_backend.py b/tests/test_backend.py index 9f74ed8..d5a29b9 100644 --- a/tests/test_backend.py +++ b/tests/test_backend.py @@ -3,7 +3,7 @@ from tests.test_cases import basic import pandas as pd -import pytest +from pandas._testing import assert_frame_equal try: import ray @@ -38,8 +38,8 @@ def test_backend_equality(): df_single_process = pd.DataFrame(experiment.run()) if _has_ray_extension: assert df_multiprocessing.equals(df_ray) - assert df_multiprocessing.equals(df_pathos) - assert df_multiprocessing.equals(df_single_process) + assert_frame_equal(df_multiprocessing, df_pathos) + assert_frame_equal(df_multiprocessing, df_single_process) def test_backend_single_process(): states = basic.states @@ -68,5 +68,5 @@ def test_backend_single_process(): df_single_process = pd.DataFrame(experiment.run()) if _has_ray_extension: assert df_multiprocessing.equals(df_ray) - assert df_multiprocessing.equals(df_pathos) - assert df_multiprocessing.equals(df_single_process) + assert_frame_equal(df_multiprocessing, df_pathos) + assert_frame_equal(df_multiprocessing, df_single_process) diff --git a/tests/test_core.py b/tests/test_core.py index 105bab0..fb237e0 100644 --- a/tests/test_core.py +++ b/tests/test_core.py @@ -3,7 +3,7 @@ from dataclasses import dataclass import radcad.core as core -from radcad.core import _get_sweep_length, generate_parameter_sweep, reduce_signals, _nested_asdict +from radcad.utils import _get_sweep_length, generate_parameter_sweep, _nested_asdict from radcad import Model, Simulation, Experiment from radcad.utils import flatten @@ -225,6 +225,7 @@ def test_generate_single_value_parameter_sweep(): assert param_sweep == [{'a': 0, 'b': 0, 'c': 0}, {'a': 1, 'b': 1, 'c': 0}, {'a': 2, 'b': 1, 'c': 0}] +@pytest.mark.skip(reason="deprecated API") def test_reduce_signals(): psu = { 'policies': { @@ -236,12 +237,13 @@ def test_reduce_signals(): 'variables': {} } - signals = reduce_signals({}, 1, [], {}, psu) + signals = core.SimulationExecution.reduce_signals({}, 1, [], {}, psu) assert signals['signal_a'] == 3.0 assert signals['signal_b'] == 0 assert signals['signal_c'] == 100e52 assert signals['signal_d'] == 3.3333000000000003e-10 + @pytest.mark.skip(reason="deprecated API") def test_run(): states = basic.states diff --git a/tests/test_dataclass_params.py b/tests/test_dataclass_params.py index 5ee3b27..038b356 100644 --- a/tests/test_dataclass_params.py +++ b/tests/test_dataclass_params.py @@ -1,8 +1,7 @@ from dataclasses import FrozenInstanceError, dataclass from typing import List -from radcad import Model, Simulation, Experiment, Backend +from radcad import Model, Simulation, Experiment, Backend, Context from radcad.utils import default -from radcad.wrappers import Context import pytest diff --git a/tests/test_hooks.py b/tests/test_hooks.py index 85fbe75..826698c 100644 --- a/tests/test_hooks.py +++ b/tests/test_hooks.py @@ -1,5 +1,4 @@ -from radcad import Model, Simulation, Experiment -from radcad.wrappers import Context +from radcad import Model, Simulation, Experiment, Context from tests.test_cases import basic import pandas as pd from pandas._testing import assert_series_equal From bb3c2799e3e817589258938d7e3f08bafac6e344 Mon Sep 17 00:00:00 2001 From: BenSchZA Date: Tue, 20 Sep 2022 21:00:25 +0200 Subject: [PATCH 06/18] Update software architecture with SimulationExecution class --- radcad/__init__.py | 1 + radcad/core.py | 147 ++++++++++++++++++++++++--------------- radcad/engine.py | 30 ++++---- tests/test_mutability.py | 1 - 4 files changed, 110 insertions(+), 69 deletions(-) diff --git a/radcad/__init__.py b/radcad/__init__.py index 143ec74..60b5557 100644 --- a/radcad/__init__.py +++ b/radcad/__init__.py @@ -1,6 +1,7 @@ __version__ = "0.12.0" from radcad.wrappers import Model, Simulation, Experiment +from radcad.core import SimulationExecution from radcad.types import Context from radcad.engine import Engine from radcad.backends import Backend diff --git a/radcad/core.py b/radcad/core.py index 59b44c0..dfc5d3f 100644 --- a/radcad/core.py +++ b/radcad/core.py @@ -4,6 +4,7 @@ from dataclasses import dataclass from functools import reduce from typing import Any, List +from abc import ABC, abstractmethod from radcad.types import (PolicySignal, SimulationResults, StateUpdate, StateUpdateBlock, StateUpdateResult, StateVariables, @@ -12,12 +13,72 @@ @dataclass -class SimulationExecution: +class SimulationExecutionSpecification(ABC): + timesteps: int = 0 + timestep: int = None + + substep_index: int = 0 + substeps: List = default([]) + + state_update_blocks: List[StateUpdateBlock] = default([]) + result: SimulationResults = default([]) + + def execute( + self, + ) -> SimulationResults: + self.before_execution() + + for timestep in range(0, self.timesteps): + self.timestep = timestep + self.before_step() + self.step() + self.after_step() + + self.after_execution() + return self.result + + @abstractmethod + def before_execution(self) -> None: + pass + + @abstractmethod + def before_step(self) -> None: + pass + + def step(self) -> None: + self.substeps: List = [] + for (substep, state_update_block) in enumerate(self.state_update_blocks): + self.substep_index = substep + self.before_substep() + self.substep(state_update_block) + self.after_substep() + + @abstractmethod + def before_substep(self) -> None: + pass + + @abstractmethod + def substep(self, state_update_block: StateUpdateBlock) -> List[StateVariables]: + pass + + @abstractmethod + def after_substep(self) -> None: + pass + + @abstractmethod + def after_step(self) -> None: + pass + + @abstractmethod + def after_execution(self) -> None: + pass + + +@dataclass +class SimulationExecution(SimulationExecutionSpecification): # Simulation settings initial_state: StateVariables = default({}) params: SystemParameters = default({}) - state_update_blocks: List[StateUpdateBlock] = default([]) - timesteps: int = 0 # Execution settings enable_deepcopy: bool = True @@ -26,37 +87,21 @@ class SimulationExecution: logger = logging.getLogger("radCAD") """Use "radCAD" logging instance to avoid conflict with other projects""" - # Simulation state + # Simulation indices simulation_index: int = 0 - subset_index: int = 0 run_index: int = 1 + subset_index: int = 0 """ Index starts at +1 to remain compatible with cadCAD implementation """ # Simulation runtime state - timestep: int = None - substep_index: int = None previous_state: StateVariables = None - substeps: List[StateVariables] = None - result: SimulationResults = default([]) - def execute( - self, - ) -> SimulationResults: - self.before_execution() + def before_execution(self) -> None: + self.logger.info(f"Starting simulation {self.simulation_index} / run {self.run_index} / subset {self.subset_index}") self.initialise_state() - for timestep in range(0, self.timesteps): - self.timestep = timestep - - self.before_step() - self.process_substeps(self.step()) - self.after_step() - - self.after_execution() - return self.result - def initialise_state(self): self.initial_state["simulation"] = self.simulation_index self.initial_state["subset"] = self.subset_index @@ -68,22 +113,15 @@ def initialise_state(self): self.result.append([self.initial_state]) - def step(self) -> List[StateVariables]: + def before_step(self) -> None: self.previous_state: StateVariables = ( self.result[0][0].copy() if self.timestep == 0 else self.result[-1][-1:][0].copy() ) - self.substeps: List = [] - for (substep, state_update_block) in enumerate(self.state_update_blocks): - self.substep_index = substep - self.substep(state_update_block) - - return self.substeps or [self.previous_state.copy()] - - def process_substeps(self, substeps: List[StateVariables]) -> None: - self.result.append(substeps if not self.drop_substeps else [substeps.pop()]) + def before_substep(self) -> None: + pass def substep(self, state_update_block: StateUpdateBlock) -> None: substate: StateVariables = ( @@ -92,18 +130,28 @@ def substep(self, state_update_block: StateUpdateBlock) -> None: signals: PolicySignal = self.execute_policies(substate, state_update_block) - updated_state: List[StateUpdateResult] = [ + updated_state: StateVariables = dict([ self.update_state(substate, signals, state_update) for state_update in state_update_block["variables"].items() - ] - self.process_updated_state(substate, updated_state) - - def process_updated_state(self, substate: StateVariables, updated_state: List[StateUpdateResult]) -> None: + ]) + self.process_substep(substate, updated_state) + + def process_substep(self, substate: StateVariables, updated_state: StateVariables) -> None: substate.update(updated_state) substate["timestep"] = (self.previous_state["timestep"] + 1) if self.timestep == 0 else self.timestep + 1 substate["substep"] = self.substep_index + 1 self.substeps.append(substate) + def after_substep(self) -> None: + pass + + def after_step(self) -> None: + substeps = self.substeps or [self.previous_state.copy()] + self.result.append(substeps if not self.drop_substeps else [substeps.pop()]) + + def after_execution(self) -> None: + pass + def execute_policies( self, substate: StateVariables, @@ -137,17 +185,17 @@ def update_state( _signals = self.deepcopy_method(signals) if self.enable_deepcopy else signals.copy() state, function = state_update - if not state in self.initial_state: + if state not in self.initial_state: raise KeyError(f"Invalid state key {state} in partial state update block") state_key, state_value = function( self.params, self.substep, self.result, _substate, _signals ) - if not state_key in self.initial_state: + if state_key not in self.initial_state: raise KeyError( f"Invalid state key {state} returned from state update function" ) if state == state_key: - return (state_key, state_value) + return state_key, state_value else: raise KeyError( f"PSU state key {state} doesn't match function state key {state_key}" @@ -163,25 +211,12 @@ def add_signals(acc: PolicySignal, a: PolicySignal) -> PolicySignal: return acc @staticmethod - def deepcopy_method(obj) -> Any: + def deepcopy_method(obj: Any) -> Any: """ - Define the default method used for deepcopy operations - Must be a function and not a lambda function to ensure multiprocessing can Pickle the object + The method used for simulation deepcopy operations """ return pickle.loads(pickle.dumps(obj=obj, protocol=-1)) - def before_execution(self) -> None: - self.logger.info(f"Starting simulation {self.simulation_index} / run {self.run_index} / subset {self.subset_index}") - - def before_step(self) -> None: - pass - - def after_step(self) -> None: - pass - - def after_execution(self) -> None: - pass - def multiprocess_wrapper(simulation_execution: SimulationExecution): exception = None diff --git a/radcad/engine.py b/radcad/engine.py index 259989d..8c813e7 100644 --- a/radcad/engine.py +++ b/radcad/engine.py @@ -1,6 +1,5 @@ import copy import multiprocessing -from dataclasses import replace from typing import Iterator import radcad.core as core @@ -25,23 +24,30 @@ def __init__(self, **kwargs): **deepcopy (bool): Whether to enable deepcopy of State Variables to avoid unintended state mutation. Defaults to `True`. **deepcopy_method (Callable): Method to use for deepcopy of State Variables. By default uses Pickle for improved performance, use `copy.deepcopy` for an alternative to Pickle. **drop_substeps (bool): Whether to drop simulation result substeps during runtime to save memory and improve performance. Defaults to `False`. + **simulation_execution (SimulationExecution): Set a custom radCAD SimulationExecution class instance. Overrides setting of `raise_exceptions`, `deepcopy`, `deepcopy_method`, and `drop_substeps`. **_run_generator (tuple_iterator): Generator to generate simulation runs, used to implement custom execution backends. Defaults to `iter(())`. """ self.executable = None self.processes = kwargs.pop("processes", cpu_count) self.backend = kwargs.pop("backend", Backend.DEFAULT) - self.raise_exceptions = kwargs.pop("raise_exceptions", True) - self.deepcopy = kwargs.pop("deepcopy", True) - self.deepcopy_method = kwargs.pop("deepcopy_method", core.SimulationExecution.deepcopy_method) - self.drop_substeps = kwargs.pop("drop_substeps", False) - self._run_generator = iter(()) - self.simulation_execution = core.SimulationExecution( - enable_deepcopy=self.deepcopy, - drop_substeps=self.drop_substeps, - raise_exceptions=self.raise_exceptions, - ) - self.simulation_execution.deepcopy_method = self.deepcopy_method + _simulation_execution = kwargs.pop("simulation_execution", None) + if _simulation_execution: + self.simulation_execution = _simulation_execution + else: + self.raise_exceptions = kwargs.pop("raise_exceptions", True) + self.deepcopy = kwargs.pop("deepcopy", True) + self.deepcopy_method = kwargs.pop("deepcopy_method", core.SimulationExecution.deepcopy_method) + self.drop_substeps = kwargs.pop("drop_substeps", False) + + self.simulation_execution = core.SimulationExecution( + enable_deepcopy=self.deepcopy, + drop_substeps=self.drop_substeps, + raise_exceptions=self.raise_exceptions, + ) + self.simulation_execution.deepcopy_method = self.deepcopy_method + + self._run_generator = iter(()) if kwargs: raise Exception(f"Invalid Engine option in {kwargs}") diff --git a/tests/test_mutability.py b/tests/test_mutability.py index c0555fc..d72eb8c 100644 --- a/tests/test_mutability.py +++ b/tests/test_mutability.py @@ -1,7 +1,6 @@ from radcad import Model, Simulation, Experiment from radcad.engine import Engine, Backend -import pytest import pandas as pd From 53e35ca400bb039ee5eb00911f4d9004d7c1d95b Mon Sep 17 00:00:00 2001 From: BenSchZA Date: Mon, 19 Dec 2022 08:04:55 +0100 Subject: [PATCH 07/18] Enable initialisation of first timestep from initial state --- radcad/core.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/radcad/core.py b/radcad/core.py index dfc5d3f..890e8a3 100644 --- a/radcad/core.py +++ b/radcad/core.py @@ -28,7 +28,8 @@ def execute( ) -> SimulationResults: self.before_execution() - for timestep in range(0, self.timesteps): + initial_timestep = self.timestep if self.timestep else 0 + for timestep in range(initial_timestep, initial_timestep + self.timesteps): self.timestep = timestep self.before_step() self.step() @@ -107,10 +108,15 @@ def initialise_state(self): self.initial_state["subset"] = self.subset_index self.initial_state["run"] = self.run_index self.initial_state["substep"] = 0 + # If first timestep is not explicitely set in initial state, start from zero # Needed to properly handle model generator - if not self.initial_state.get("timestep", False): + if not "timestep" in self.initial_state: self.initial_state["timestep"] = 0 - + assert ( + isinstance(self.initial_state["timestep"], int) and self.initial_state["timestep"] >= 0, + f"Simulation initial timestep should be a positive integer, not {self.initial_state['timestep']}" + ) + self.timestep = self.initial_state["timestep"] self.result.append([self.initial_state]) def before_step(self) -> None: From 515b2d9dfa84e72c938e7d2c5e7a11adc437dc02 Mon Sep 17 00:00:00 2001 From: BenSchZA Date: Mon, 19 Dec 2022 08:06:01 +0100 Subject: [PATCH 08/18] Enable initialisation of first timestep from initial state: test --- tests/test_initial_state.py | 45 +++++++++++++++++++++++++++++++++++++ 1 file changed, 45 insertions(+) create mode 100644 tests/test_initial_state.py diff --git a/tests/test_initial_state.py b/tests/test_initial_state.py new file mode 100644 index 0000000..bbbfd92 --- /dev/null +++ b/tests/test_initial_state.py @@ -0,0 +1,45 @@ +from radcad import Model, Simulation +import pandas as pd + + +def update_a(params, substep, state_history, previous_state, policy_input): + return 'a', previous_state['a'] + 1 + +states = { + 'a': 0.0, +} + +state_update_blocks = [ + { + 'policies': {}, + 'variables': { + 'a': update_a + } + } +] + +TIMESTEPS = 10 +RUNS = 1 + + +def test_set_initial_state_and_timestep_from_previous_sim(): + model_1 = Model(initial_state=states, state_update_blocks=state_update_blocks) + simulation_1 = Simulation(model=model_1, timesteps=TIMESTEPS, runs=RUNS) + simulation_1.run() + df_1 = pd.DataFrame(simulation_1.results) + + assert df_1.iloc[0].timestep == 0 + assert df_1.iloc[-1].timestep == TIMESTEPS + assert df_1.iloc[0].a == 0 + assert df_1.iloc[-1].a == 10 + + model_2 = Model(initial_state=simulation_1.results[-1], state_update_blocks=state_update_blocks) + simulation_2 = Simulation(model=model_2, timesteps=TIMESTEPS, runs=RUNS) + simulation_2.engine.simulation_execution.result = simulation_1.results + simulation_2.run() + df_2 = pd.DataFrame(simulation_2.results) + + assert df_2.iloc[0].timestep == 0 + assert df_2.iloc[-1].timestep == TIMESTEPS * 2 + assert df_2.iloc[0].a == 0 + assert df_2.iloc[-1].a == 20 From fbb3d6fe5af0763e91c778d1a8ada4472e7c7545 Mon Sep 17 00:00:00 2001 From: BenSchZA Date: Mon, 19 Dec 2022 08:21:09 +0100 Subject: [PATCH 09/18] Fix assert statement --- radcad/core.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/radcad/core.py b/radcad/core.py index 890e8a3..d4e5e4d 100644 --- a/radcad/core.py +++ b/radcad/core.py @@ -114,8 +114,7 @@ def initialise_state(self): self.initial_state["timestep"] = 0 assert ( isinstance(self.initial_state["timestep"], int) and self.initial_state["timestep"] >= 0, - f"Simulation initial timestep should be a positive integer, not {self.initial_state['timestep']}" - ) + ), f"Simulation initial timestep should be a positive integer, not {self.initial_state['timestep']}" self.timestep = self.initial_state["timestep"] self.result.append([self.initial_state]) From 656e7e7968f3fdbe0319677bad85281d404b494f Mon Sep 17 00:00:00 2001 From: BenSchZA Date: Wed, 21 Dec 2022 17:32:08 +0100 Subject: [PATCH 10/18] Fix before_step() method to handle initial state --- radcad/core.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/radcad/core.py b/radcad/core.py index d4e5e4d..1d34347 100644 --- a/radcad/core.py +++ b/radcad/core.py @@ -113,7 +113,7 @@ def initialise_state(self): if not "timestep" in self.initial_state: self.initial_state["timestep"] = 0 assert ( - isinstance(self.initial_state["timestep"], int) and self.initial_state["timestep"] >= 0, + isinstance(self.initial_state["timestep"], int) and self.initial_state["timestep"] >= 0 ), f"Simulation initial timestep should be a positive integer, not {self.initial_state['timestep']}" self.timestep = self.initial_state["timestep"] self.result.append([self.initial_state]) @@ -121,7 +121,7 @@ def initialise_state(self): def before_step(self) -> None: self.previous_state: StateVariables = ( self.result[0][0].copy() - if self.timestep == 0 + if len(self.result) == 1 else self.result[-1][-1:][0].copy() ) From c741217df5b6f3ab5b7c326dc8b2b887e0275a90 Mon Sep 17 00:00:00 2001 From: BenSchZA Date: Fri, 30 Dec 2022 17:59:49 +0000 Subject: [PATCH 11/18] Fix get_sweep_lengths() to not traverse dictionaries when parent is a dataclass --- radcad/utils.py | 15 ++++++++++++--- tests/test_core.py | 28 ++++++++++++++++++++++++++++ 2 files changed, 40 insertions(+), 3 deletions(-) diff --git a/radcad/utils.py b/radcad/utils.py index 3091d5f..c7ba581 100644 --- a/radcad/utils.py +++ b/radcad/utils.py @@ -41,10 +41,19 @@ def generate_cartesian_product_parameter_sweep(params): def _get_sweep_lengths(params: Dict) -> Iterator[int]: - for value in params.values(): - if isinstance(value, dict): + if is_dataclass(params): + children = params.__dict__.items() + elif isinstance(params, dict): + children = params.items() + else: + yield [] + + for (_key, value) in children: + if is_dataclass(value): yield from _get_sweep_lengths(value) - elif isinstance(value, list): + elif not isinstance(value, list): + value = [value] + if isinstance(value, list): yield len(value) diff --git a/tests/test_core.py b/tests/test_core.py index fb237e0..fbf109e 100644 --- a/tests/test_core.py +++ b/tests/test_core.py @@ -170,6 +170,34 @@ def test_generate_nested_dataclass_parameter_sweep(): ] +def test_no_sweep_of_dict(): + @dataclass + class P0: + a: Dict = default({0: [1, 2, 3]}) + b: List = 1 + + @dataclass + class P1: + c: List = 1 + + @dataclass + class P: + p0: P0 = P0() + p1: P1 = P1() + + param_sweep = generate_parameter_sweep(P()) + assert param_sweep == [ + P( + p0 = P0( + a = {0: [1, 2, 3]}, + b = 1 + ), + p1 = P1( + c = 1 + ) + ), + ] + def test_generate_single_value_dataclass_parameter_sweep(): @dataclass class P0: From 50323bd9eb42a3a0180ad0a076c700cdfd9aa745 Mon Sep 17 00:00:00 2001 From: BenSchZA Date: Mon, 16 Jan 2023 21:57:40 +0000 Subject: [PATCH 12/18] Handle nested dataclass params --- poetry.lock | 3826 +++++++++++++++++++-------------- pyproject.toml | 3 +- radcad/core.py | 2 +- 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1d34347..f97ef66 100644 --- a/radcad/core.py +++ b/radcad/core.py @@ -1,10 +1,10 @@ import logging import pickle import traceback +from abc import ABC, abstractmethod from dataclasses import dataclass from functools import reduce from typing import Any, List -from abc import ABC, abstractmethod from radcad.types import (PolicySignal, SimulationResults, StateUpdate, StateUpdateBlock, StateUpdateResult, StateVariables, diff --git a/radcad/utils.py b/radcad/utils.py index c7ba581..94c70c0 100644 --- a/radcad/utils.py +++ b/radcad/utils.py @@ -40,7 +40,7 @@ def generate_cartesian_product_parameter_sweep(params): return param_sweep -def _get_sweep_lengths(params: Dict) -> Iterator[int]: +def _get_sweep_lengths(params: SystemParameters) -> Iterator[int]: if is_dataclass(params): children = params.__dict__.items() elif isinstance(params, dict): @@ -57,7 +57,7 @@ def _get_sweep_lengths(params: Dict) -> Iterator[int]: yield len(value) -def _get_sweep_length(params: Dict) -> int: +def _get_sweep_length(params: SystemParameters) -> int: sweep_lengths = list(_get_sweep_lengths(params)) return max(sweep_lengths) if sweep_lengths else 1 @@ -144,10 +144,7 @@ def _traverse_sweep_params(params: SystemParameters, max_len: int, sweep_index: def generate_parameter_sweep(params: SystemParameters) -> List[SystemParameters]: - _is_dataclass = is_dataclass(params) - _params = _nested_asdict(params) if _is_dataclass else params - max_len = _get_sweep_length(_params) - + max_len = _get_sweep_length(params) param_sweep = [] for sweep_index in range(0, max_len): param_set = _traverse_sweep_params(params, max_len, sweep_index) diff --git a/tests/test_core.py b/tests/test_core.py index fbf109e..601ca24 100644 --- a/tests/test_core.py +++ b/tests/test_core.py @@ -63,9 +63,9 @@ class P3: nested_params = { 'a': { 'b': 1, - 'c': [2], + 'c': [2, 0, 0, 0, 0], 'd': { - 'e': [3, 4], + 'e': [3, 4, 0, 0], 'f': 5 } }, @@ -75,7 +75,7 @@ class P3: @dataclass class D: - e: List = default([3, 4]) + e: List = default([3, 4, 0, 0]) f: int = 5 @dataclass @@ -92,7 +92,7 @@ class H: class NestedDataclassParams: a: Dict = default({ 'b': 1, - 'c': [2], + 'c': [2, 0, 0, 0, 0], 'd': D(), }) g: List = default([6, 7, 8]) @@ -105,17 +105,17 @@ class NestedDataclassParams: def test_nested_asdict(): assert _nested_asdict(nested_dataclass_params) == { - 'a': {'b': 1, 'c': [2], 'd': D()}, + 'a': {'b': 1, 'c': [2, 0, 0, 0, 0], 'd': D()}, 'g': [6, 7, 8], 'h': {'i': {'j': {'k': 9}}}, 'l': 10, - 'm': {'e': [3, 4], 'f': 5} + 'm': {'e': [3, 4, 0, 0], 'f': 5} } def test_get_sweep_len(): assert _get_sweep_length(nested_params) == 3 - assert _get_sweep_length(_nested_asdict(nested_dataclass_params)) == 3 + assert _get_sweep_length(nested_dataclass_params) == 4 def test_generate_nested_parameter_sweep(): @@ -125,9 +125,9 @@ def test_generate_nested_parameter_sweep(): { 'a': { 'b': 1, - 'c': [2], + 'c': [2, 0, 0, 0, 0], 'd': { - 'e': [3, 4], + 'e': [3, 4, 0, 0], 'f': 5 } }, @@ -137,9 +137,9 @@ def test_generate_nested_parameter_sweep(): { 'a': { 'b': 1, - 'c': [2], + 'c': [2, 0, 0, 0, 0], 'd': { - 'e': [3, 4], + 'e': [3, 4, 0, 0], 'f': 5 } }, @@ -149,9 +149,9 @@ def test_generate_nested_parameter_sweep(): { 'a': { 'b': 1, - 'c': [2], + 'c': [2, 0, 0, 0, 0], 'd': { - 'e': [3, 4], + 'e': [3, 4, 0, 0], 'f': 5 } }, @@ -164,9 +164,10 @@ def test_generate_nested_parameter_sweep(): def test_generate_nested_dataclass_parameter_sweep(): parameter_sweep = generate_parameter_sweep(nested_dataclass_params) assert parameter_sweep == [ - NestedDataclassParams(a={'b': 1, 'c': [2], 'd': D(e=[3, 4], f=5)}, g=6, h=H(i=I(j={'k': 9})), l=10, m=D(e=3, f=5)), - NestedDataclassParams(a={'b': 1, 'c': [2], 'd': D(e=[3, 4], f=5)}, g=7, h=H(i=I(j={'k': 9})), l=10, m=D(e=4, f=5)), - NestedDataclassParams(a={'b': 1, 'c': [2], 'd': D(e=[3, 4], f=5)}, g=8, h=H(i=I(j={'k': 9})), l=10, m=D(e=4, f=5)) + NestedDataclassParams(a={'b': 1, 'c': [2, 0, 0, 0, 0], 'd': D(e=[3, 4, 0, 0], f=5)}, g=6, h=H(i=I(j={'k': 9})), l=10, m=D(e=3, f=5)), + NestedDataclassParams(a={'b': 1, 'c': [2, 0, 0, 0, 0], 'd': D(e=[3, 4, 0, 0], f=5)}, g=7, h=H(i=I(j={'k': 9})), l=10, m=D(e=4, f=5)), + NestedDataclassParams(a={'b': 1, 'c': [2, 0, 0, 0, 0], 'd': D(e=[3, 4, 0, 0], f=5)}, g=8, h=H(i=I(j={'k': 9})), l=10, m=D(e=0, f=5)), + NestedDataclassParams(a={'b': 1, 'c': [2, 0, 0, 0, 0], 'd': D(e=[3, 4, 0, 0], f=5)}, g=8, h=H(i=I(j={'k': 9})), l=10, m=D(e=0, f=5)) ] diff --git a/tests/test_reproducibility.py b/tests/test_reproducibility.py new file mode 100644 index 0000000..00d6bf3 --- /dev/null +++ b/tests/test_reproducibility.py @@ -0,0 +1,22 @@ +from radcad import Model, Simulation +from tests.test_cases import basic +import pandas as pd +from pandas._testing import assert_frame_equal + +def test_consecutive_simulation_runs(): + states = basic.states + state_update_blocks = basic.state_update_blocks + params = basic.params + TIMESTEPS = basic.TIMESTEPS + RUNS = basic.RUNS + + model = Model(initial_state=states, state_update_blocks=state_update_blocks, params=params) + simulation = Simulation(model=model, timesteps=TIMESTEPS, runs=RUNS) + + results_run_1 = pd.DataFrame(simulation.run()) + results_run_2 = pd.DataFrame(simulation.run()) + + assert_frame_equal( + results_run_1, + results_run_2 + ) From 8cf6baf3423b9c49b29897e6fe3cee4a871f4f79 Mon Sep 17 00:00:00 2001 From: abzaremba Date: Mon, 8 May 2023 17:10:37 +0100 Subject: [PATCH 13/18] created new mkdocs project --- docs/index.md | 12 ++++++++++++ docs/reference.md | 7 +++++++ mkdocs.yml | 7 +++++++ radcad/backends/__init__.py | 3 +++ radcad/backends/multiprocessing.py | 4 ++++ radcad/backends/single_process.py | 5 +++++ 6 files changed, 38 insertions(+) create mode 100644 docs/index.md create mode 100644 docs/reference.md create mode 100644 mkdocs.yml diff --git a/docs/index.md b/docs/index.md new file mode 100644 index 0000000..2960769 --- /dev/null +++ b/docs/index.md @@ -0,0 +1,12 @@ +# This is the automatic documentation for radCAD + + + +## Project Overview + +Some docs... + +Only one section now: + +3. [Reference](reference.md) + diff --git a/docs/reference.md b/docs/reference.md new file mode 100644 index 0000000..26bbcf5 --- /dev/null +++ b/docs/reference.md @@ -0,0 +1,7 @@ +This part of the project documentation focuses on +an **information-oriented** approach. Use it as a +reference for the technical implementation of the +`radcad` project code. + + +::: radcad.utils diff --git a/mkdocs.yml b/mkdocs.yml new file mode 100644 index 0000000..ee5d243 --- /dev/null +++ b/mkdocs.yml @@ -0,0 +1,7 @@ +site_name: My Docs + +theme: + name: "material" + +plugins: + - mkdocstrings diff --git a/radcad/backends/__init__.py b/radcad/backends/__init__.py index 46a9d0c..07c9dd2 100644 --- a/radcad/backends/__init__.py +++ b/radcad/backends/__init__.py @@ -1,3 +1,6 @@ +"""Backend here! +""" + from enum import Enum diff --git a/radcad/backends/multiprocessing.py b/radcad/backends/multiprocessing.py index b85835a..969bac7 100644 --- a/radcad/backends/multiprocessing.py +++ b/radcad/backends/multiprocessing.py @@ -1,3 +1,7 @@ +"""Backend that allows multiprocessing +No examples now. +""" + from radcad.backends import Executor import radcad.core as core diff --git a/radcad/backends/single_process.py b/radcad/backends/single_process.py index 0aa5a8c..7a96aed 100644 --- a/radcad/backends/single_process.py +++ b/radcad/backends/single_process.py @@ -1,3 +1,8 @@ +"""Backend for single processing +Also no examples now. +""" + + from radcad.backends import Executor import radcad.core as core From 1e01f3c0555930065d915fe4b66456bc1c00075a Mon Sep 17 00:00:00 2001 From: abzaremba Date: Mon, 29 May 2023 09:52:58 +0100 Subject: [PATCH 14/18] created main sections for the documentation, also added some helper files like still images as alternatives to gifs and one python script to test installation --- docs/about.md | 55 +++ docs/examples.md | 70 ++++ docs/examples_accessible.md | 71 ++++ docs/features.md | 90 +++++ docs/gettingstarted.md | 137 ++++++++ docs/images/game-of-life.gif | Bin 0 -> 96069 bytes docs/images/game-of-life.jpg | Bin 0 -> 5086 bytes docs/images/iterable-models.gif | Bin 0 -> 7400169 bytes docs/images/iterable-models.jpg | Bin 0 -> 69451 bytes docs/index.md | 30 +- docs/reference.md | 332 +++++++++++++++++- examples/predator_prey_sd/predator-prey-sd.py | 103 ++++++ mkdocs.yml | 16 +- poetry.lock | 174 ++++----- pyproject.toml | 1 + 15 files changed, 992 insertions(+), 87 deletions(-) create mode 100644 docs/about.md create mode 100644 docs/examples.md create mode 100644 docs/examples_accessible.md create mode 100644 docs/features.md create mode 100644 docs/gettingstarted.md create mode 100644 docs/images/game-of-life.gif create mode 100644 docs/images/game-of-life.jpg create mode 100644 docs/images/iterable-models.gif create mode 100644 docs/images/iterable-models.jpg create mode 100644 examples/predator_prey_sd/predator-prey-sd.py diff --git a/docs/about.md b/docs/about.md new file mode 100644 index 0000000..9d212b9 --- /dev/null +++ b/docs/about.md @@ -0,0 +1,55 @@ +# About + +--- + +## Table of Contents + + - [Acknowledgments](#acknowledgments) + - [Contributing](#contributing) + - [Change Log](#change-log) + - [License](#license) + +## Acknowledgments + +Place for optional acknowledgments to contributors. + +--- + +## Contributing + +Place for optional information about contributors or direction for how to contribute. For the latter --> the cadCAD [contributing](https://github.com/CADLabs/cadCAD/blob/master/CONTRIBUTING.md) directions are useful. + +--- + +## Change Log + +Direction to the [change log](https://github.com/CADLabs/radCAD/blob/dev/CHANGELOG.md). Optionally could add a link or links describing similarities and changes between cadCAD/radCAD or radCAD/Ethereum-economic-model or radCAD/fei-protocol-model. + + +--- + +## License + +--- + +The code repository `CADLabs/radCAD` is licensed under the GNU General Public License v3.0. + +Permissions of this strong copyleft license are conditioned on making available complete source code of licensed works and modifications, which include larger works using a licensed work under the same license. Copyright and license notices must be preserved. Contributors provide an express grant of patent rights. + +[View license](https://github.com/CADLabs/radCAD/blob/dev/LICENSE). + +If you'd like to cite this code and/or research, we suggest the following format: + +> CadLabs, radCAD, (2023), GitHub repository, https://github.com/CADLabs/radCAD + +```latex +@misc{CADLabs2023, + author = {CADLabs}, + title = {radCAD}, + year = {2023}, + publisher = {GitHub}, + journal = {GitHub repository}, + howpublished = {\url{https://github.com/CADLabs/radCAD}}, + version = {v0.12.0} +} +``` diff --git a/docs/examples.md b/docs/examples.md new file mode 100644 index 0000000..0481065 --- /dev/null +++ b/docs/examples.md @@ -0,0 +1,70 @@ +# Examples + +Navigate to: [**accessible version**](examples_accessible.md) with no dynamic graphics (gifs). +--- + +## Table of Contents + +--- + + - [Illustratory Models](#illustratory-models) + - [Open-source Models Using radCAD](#open-source-models-using-radcad) + +--- + +## Illustratory Models + +### Iterable Models + +Using Models as live in-the-loop digital twins, creating your own model pipelines, and streaming simulation results to update a visualization. That's what an iterable Model class enables. + +Check here for a [Jupyter Notebook with an example](https://github.com/CADLabs/radCAD/blob/master/examples/iterable_models/iterable-models.ipynb): + +[//]: # (![Iterable Models](https://github.com/CADLabs/radCAD/blob/master/examples/iterable_models/iterable-models.gif)) + + +![Iterable Models](images/iterable-models.gif) + +### [Game of Life](https://www.conwaylife.com/) + +[Live radCAD demo model on Streamlit](https://share.streamlit.io/benschza/radcad/examples/streamlit/game_of_life/app.py) + +A simple game where at each timestep, the following transitions occur: + +1. Any live cell with fewer than two live neighbours dies, as if by underpopulation. +2. Any live cell with two or three live neighbours lives on to the next generation. +3. Any live cell with more than three live neighbours dies, as if by overpopulation. +4. Any dead cell with exactly three live neighbours becomes a live cell, as if by reproduction. + + +See [examples/game_of_life/game-of-life.ipynb](https://github.com/CADLabs/radCAD/blob/master/examples/game_of_life/game-of-life.ipynb) + +![Game of Life](images/game-of-life.gif) + +[//]: # (See [examples/game_of_life/game-of-life.ipynb](examples/game-of-life/game-of-life.ipynb)) +[//]: # (![Game of Life](https://github.com/CADLabs/radCAD/blob/master/examples/game_of_life/game-of-life.gif)) + +### [Predator-Prey](https://en.wikipedia.org/wiki/Lotka%E2%80%93Volterra_equations) + +A simple model that applies the two Lotka-Volterra differential equations, frequently used to describe the dynamics of biological systems in which two species interact: + +Original models thanks to [Danilo @danlessa](https://github.com/danlessa/)! + +* System dynamics model: [examples/predator_prey_sd/predator-prey-sd.ipynb](examples/predator_prey_sd/predator-prey-sd.ipynb) +* Agent based model: [examples/predator_prey_abm/predator-prey-abm.ipynb](examples/predator_prey_abm/predator-prey-abm.ipynb) + +For additional educational material about the Predator-Prey model, we recommend the cadCAD courses: + +[cadCAD Complete Foundations Bootcamp](https://www.cadcad.education/course/bootcamp), which in Sections 5 and 6 introduces a model for an animal population interacting with the environment. The approach is carefully broken down into **system requirements** (including visual system mapping and mathematical specification), **system design** and **system validation**. + +[cadCAD Hacks - Season 1](https://www.cadcad.education/course/cadcad-hacks), which in Hack 2 provides a step-by-step introduction to the the Predator-Prey model with cadCAD. + + + +## Open-source Models Using radCAD + + + +* **[Ethereum Economic Model](https://github.com/CADLabs/ethereum-economic-model)** by CADLabs: A modular dynamical-systems model of Ethereum's validator economics +* **[Beacon Runner](https://github.com/ethereum/beaconrunner)** by Ethereum RIG: An agent-based model of Ethereum's Proof-of-Stake consensus layer +* **[GEB Controller Simulations](https://github.com/reflexer-labs/geb-simulations)** by Reflexer Protocol: A Proportional-Integral-Derivative (PID) controller based upon a reference document approach for the Maker DAI market that was never implemented \ No newline at end of file diff --git a/docs/examples_accessible.md b/docs/examples_accessible.md new file mode 100644 index 0000000..700ee89 --- /dev/null +++ b/docs/examples_accessible.md @@ -0,0 +1,71 @@ +# Examples [accessible -- no dynamic graphics] + +--- + +## Table of Contents + +--- + + - [Illustratory Models](#illustratory-models) + - [Open-source Models Using radCAD](#open-source-models-using-radcad) + +--- + +## Illustratory Models + +### Iterable Models + +Using Models as live in-the-loop digital twins, creating your own model pipelines, and streaming simulation results to update a visualization. That's what an iterable Model class enables. + +Check here for a [Jupyter Notebook with an example](https://github.com/CADLabs/radCAD/blob/master/examples/iterable_models/iterable-models.ipynb): + +[//]: # (![Iterable Models](https://github.com/CADLabs/radCAD/blob/master/examples/iterable_models/iterable-models.gif)) + + +![Iterable Models](images/iterable-models.jpg) + +Note: the original version of the above graphic was dynamic, you can find it [here](images/iterable-models.gif). + +### [Game of Life](https://www.conwaylife.com/) + +[Live radCAD demo model on Streamlit](https://share.streamlit.io/benschza/radcad/examples/streamlit/game_of_life/app.py) + +A simple game where at each timestep, the following transitions occur: + +1. Any live cell with fewer than two live neighbours dies, as if by underpopulation. +2. Any live cell with two or three live neighbours lives on to the next generation. +3. Any live cell with more than three live neighbours dies, as if by overpopulation. +4. Any dead cell with exactly three live neighbours becomes a live cell, as if by reproduction. + + +See [examples/game_of_life/game-of-life.ipynb](https://github.com/CADLabs/radCAD/blob/master/examples/game_of_life/game-of-life.ipynb) + +![Game of Life](images/game-of-life.jpg) + +Note: the original version of the above graphic was dynamic, you can find it [here](images/game-of-life.gif). + +[//]: # (See [examples/game_of_life/game-of-life.ipynb](examples/game-of-life/game-of-life.ipynb)) +[//]: # (![Game of Life](https://github.com/CADLabs/radCAD/blob/master/examples/game_of_life/game-of-life.gif)) + +### [Predator-Prey](https://en.wikipedia.org/wiki/Lotka%E2%80%93Volterra_equations) + +A simple model that applies the two Lotka-Volterra differential equations, frequently used to describe the dynamics of biological systems in which two species interact: + +Original models thanks to [Danilo @danlessa](https://github.com/danlessa/)! + +* System dynamics model: [examples/predator_prey_sd/predator-prey-sd.ipynb](examples/predator_prey_sd/predator-prey-sd.ipynb) +* Agent based model: [examples/predator_prey_abm/predator-prey-abm.ipynb](examples/predator_prey_abm/predator-prey-abm.ipynb) + +For additional educational material about the Predator-Prey model, we recommend the cadCAD courses: + +[cadCAD Complete Foundations Bootcamp](https://www.cadcad.education/course/bootcamp), which in Sections 5 and 6 introduces a model for an animal population interacting with the environment. The approach is carefully broken down into **system requirements** (including visual system mapping and mathematical specification), **system design** and **system validation**. + +[cadCAD Hacks - Season 1](https://www.cadcad.education/course/cadcad-hacks), which in Hack 2 provides a step-by-step introduction to the the Predator-Prey model with cadCAD. + + + +## Open-source Models Using radCAD + +* **[Ethereum Economic Model](https://github.com/CADLabs/ethereum-economic-model)** by CADLabs: A modular dynamical-systems model of Ethereum's validator economics +* **[Beacon Runner](https://github.com/ethereum/beaconrunner)** by Ethereum RIG: An agent-based model of Ethereum's Proof-of-Stake consensus layer +* **[GEB Controller Simulations](https://github.com/reflexer-labs/geb-simulations)** by Reflexer Protocol: A Proportional-Integral-Derivative (PID) controller based upon a reference document approach for the Maker DAI market that was never implemented \ No newline at end of file diff --git a/docs/features.md b/docs/features.md new file mode 100644 index 0000000..bd2084d --- /dev/null +++ b/docs/features.md @@ -0,0 +1,90 @@ +# Features + +--- + +## Table of Contents + + - [Main Features](#main-features) + - [Advanced Features](#advanced-features) + +--- + +## Main Features + +To aid in parameter selection, system parametrization in radCAD supports simulation techniques like **parameter sweeps**, **Monte Carlo simulations** or **A/B tests** can be easily performed. + +For a user unfamiliar with these techniques, we suggest introduction to these methods in the context of cadCAD in Section 6 of [cadCAD Complete Foundations Bootcamp](https://www.cadcad.education/course/bootcamp). + +* Parameter sweeps + +```python +params = { + 'a': [1, 2, 3], + 'b': [1, 2], + 'c': [1] +} +# Creates a parameter sweep of: +# [{'a': 1, 'b': 1, 'c': 1}, {'a': 2, 'b': 2, 'c': 1}, {'a': 3, 'b': 2, 'c': 1}] +``` + + + +* Monte Carlo runs + +```python +RUNS = 100 # Set to the number of Monte Carlo Runs +Simulation(model=model, timesteps=TIMESTEPS, runs=RUNS) +``` + +* A/B tests + +```python +model_a = Model(initial_state=states_a, state_update_blocks=state_update_blocks_a, params=params_a) +model_b = Model(initial_state=states_b, state_update_blocks=state_update_blocks_b, params=params_b) + +simulation_1 = Simulation(model=model_a, timesteps=TIMESTEPS, runs=RUNS) +simulation_2 = Simulation(model=model_b, timesteps=TIMESTEPS, runs=RUNS) + +# Simulate any number of models in parallel +experiment = Experiment([simulation_1, simulation_2]) +result = experiment.run() +``` + +* cadCAD compatibility and familiar data structure + +```bash + a b simulation subset run substep timestep +0 1.000000 2.0 0 0 1 0 0 +1 0.540302 2.0 0 0 1 1 1 +2 0.540302 7.0 0 0 1 2 1 +3 0.463338 7.0 0 0 1 1 2 +4 0.463338 12.0 0 0 1 2 2 +... ... ... ... ... ... ... ... +799999 0.003162 999982.0 1 1 1 2 99998 +800000 0.003162 999982.0 1 1 1 1 99999 +800001 0.003162 999992.0 1 1 1 2 99999 +800002 0.003162 999992.0 1 1 1 1 100000 +800003 0.003162 1000002.0 1 1 1 2 100000 +``` + +### Advanced Features + +RadCAD offers a range of special features that allow a wide range of model classes, great flexibility and extendibility, customisation and improved performance. + +#### Advanced features - model classes and specifications: + +* Model classes are iterable, so you can iterate over them step-by-step from one state to the next (useful for gradient descent, live digital twins) +* Supports [state-space analysis](https://en.wikipedia.org/wiki/State-space_representation) (i.e. simulation of system state over time) and [phase-space analysis](https://en.wikipedia.org/wiki/Phase_space) analysis (i.e. generation of all unique system states in a given experimental setup). + + +#### Advanced features - model implementations: + +* Disable `deepcopy` option for improved performance (at cost of mutability) +* Robust exception handling with partial results, and tracebacks +* Parallel processing with multiple backend options: `multiprocessing`, `pathos`, `ray` +* Distributed computing and remote execution in a cluster (AWS, GCP, Kubernetes, ...) using [Ray - Fast and Simple Distributed Computing](https://ray.io/) +* Hooks to easily extend the functionality - e.g. save results to HDF5 file format after completion +* Parameters can be a dataclass! This enables typing and dot notation for accessing parameters. + + + diff --git a/docs/gettingstarted.md b/docs/gettingstarted.md new file mode 100644 index 0000000..11a07ae --- /dev/null +++ b/docs/gettingstarted.md @@ -0,0 +1,137 @@ +# Getting started + +--- + +## Table of Contents + + - [Installation and environment set up](#installation-and-environment-set-up) + - [Jupyter Notebooks](#jupyter-notebooks) + - [First model](#first-model) + - [Elements of the model](#elements-of-the-model) + +--- + + +## Installation and environment set up + +Please note that for development, we suggest using [Poetry](https://python-poetry.org/) for dependency management and packaging. Instructions for setting up the Python environment with Poetry are in the section [Reference](/reference/#set-up-environment-with-poetry). + +### 0. Pre-installation Virtual Environments with [`venv`](https://docs.python.org/3/library/venv.html) (Optional): +If you wish to create an easy to use virtual environment to install radCAD inside of, please use the built in `venv` package [see: [documentation about venv](https://docs.python.org/3/library/venv.html)]. + +**Create** a virtual environment: +```bash +$ python3 -m venv venv +``` + +**Activate** an existing virtual environment (Unix/macOS): +```bash +$ source venv/bin/activate +``` + +**Activate** an existing virtual environment (Windows): +```bash +$ source venv\Scripts\activate +``` + +### 1. Installation: +Requires [>= Python 3.8](https://www.python.org/downloads/) + +Install Using [pip](https://pypi.org/project/cadCAD/) +```bash +$ pip install radCAD +``` + +### 2. Install Python dependencies inside virtual environment + +```bash +pip install -r requirements.txt +``` + + + +## Jupyter Notebooks + +Assuming that the `ipykernel` has been installed together with the other dependencies from `requirements.txt` (step [2](#2-install-python-dependencies-inside-virtual-environment)) + +```bash +ipython kernel install --user --name=radcad_kernel +``` + + +## First model: + +We refer to the section [Examples](examples.md) to see various models and references to tutorials. + +Run `predator-prey-sd.py` to check if radCAD has been successfuly installed. This is a script version of the Jupyter Notebooks model `predator-prey-sd.ipynb` that is refered to in the section [Examples](/examples/#predator-prey). + + +```bash +cd examples/predator_prey_sd +python predator-prey-sd.py +``` + +Did you get the expected output, as follows? + +```bash +The final sizes of the populations are, prey: 3068.0 and predator: 215.0. +``` + + +## Elements of the model + +This section contains high level information about the model, for more details please consult [Features](features.md) for information organised by model functionality, [Examples](examples.md) to see some ways how the model can be applied, or [Reference](reference.md) for extra details. + +### Main classes + +`radCAD` provides the following classes: + +1. A system is represented in some form as a `Model` +2. A `Model` can be simulated using a `Simulation` +3. An `Experiment` consists of one or more `Simulation`s +4. An `Experiment` or a `Simulation` is run by the `Engine` + +So, the hierarchy is as follows `Model` > `Simulation` > `Experiment` > `Engine`. + +```python +from radcad import Model, Simulation, Experiment + +model = Model(initial_state=initial_state, + state_update_blocks=state_update_blocks, + params=params) +simulation = Simulation(model=model, timesteps=100_000, runs=1) + +result = simulation.run() +# Or, multiple simulations: +# experiment = Experiment([simulation_1, simulation_2, simulation_3]) +# result = experiment.run() + +df = pd.DataFrame(result) +``` + +### The typical layout of the radCAD model elements: + + + +**Modelling** + +
    +
  1. System parameters
    2. +
  2. State variables (including initial state)
    3. +
  3. Policy functions
    4. +
  4. State update functions
    5. +
  5. Partial state update blocks
    6. +
+ +**Simulation** + +
    +
  1. Simulation configuration parameters
    2. +
  2. Model
    3. +
  3. Simulation
    4. +
  4. Execute the simulation
    5. +
  5. Analysis
    6. +
+ + +If you are familiar with cadCAD, you might notice that the classes provided by radCAD are a bit different, and so is the typical layout. 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