renaming some user-facing terms

This commit is contained in:
Markus 2019-02-15 14:33:55 -02:00
parent e2d68a0587
commit 00f5d53888
3 changed files with 13 additions and 13 deletions

View File

@ -10,17 +10,17 @@ from cadCAD.configuration.utils import exo_update_per_ts
class Configuration(object):
def __init__(self, sim_config={}, initial_state={}, seeds={}, env_processes={},
exogenous_states={}, partial_state_updates={}, policy_ops=[foldr(dict_elemwise_sum())], **kwargs):
exogenous_states={}, partial_state_update_blocks={}, policy_ops=[foldr(dict_elemwise_sum())], **kwargs):
self.sim_config = sim_config
self.initial_state = initial_state
self.seeds = seeds
self.env_processes = env_processes
self.exogenous_states = exogenous_states
self.partial_state_updates = partial_state_updates
self.partial_state_updates = partial_state_update_blocks
self.policy_ops = policy_ops
def append_configs(sim_configs, initial_state, seeds, raw_exogenous_states, env_processes, partial_state_updates, _exo_update_per_ts=True):
def append_configs(sim_configs, initial_state, seeds, raw_exogenous_states, env_processes, partial_state_update_blocks, _exo_update_per_ts=True):
if _exo_update_per_ts is True:
exogenous_states = exo_update_per_ts(raw_exogenous_states)
else:
@ -35,7 +35,7 @@ def append_configs(sim_configs, initial_state, seeds, raw_exogenous_states, env_
seeds=seeds,
exogenous_states=exogenous_states,
env_processes=env_processes,
partial_state_updates=partial_state_updates
partial_state_updates=partial_state_update_blocks
)
)
elif isinstance(sim_configs, dict):
@ -46,7 +46,7 @@ def append_configs(sim_configs, initial_state, seeds, raw_exogenous_states, env_
seeds=seeds,
exogenous_states=exogenous_states,
env_processes=env_processes,
partial_state_updates=partial_state_updates
partial_state_updates=partial_state_update_blocks
)
)
@ -84,7 +84,7 @@ class Processor:
self.apply_identity_funcs = id.apply_identity_funcs
def create_matrix_field(self, partial_state_updates, key):
if key == 'states':
if key == 'variables':
identity = self.state_identity
elif key == 'policies':
identity = self.policy_identity
@ -121,7 +121,7 @@ class Processor:
if len(partial_state_updates) != 0:
bdf = self.create_matrix_field(partial_state_updates, 'policies')
sdf = self.create_matrix_field(partial_state_updates, 'states')
sdf = self.create_matrix_field(partial_state_updates, 'variables')
sdf_values, bdf_values = no_update_handler(bdf, sdf)
zipped_list = list(zip(sdf_values, bdf_values))
else:

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@ -11,7 +11,7 @@ class TensorFieldReport:
def __init__(self, config_proc):
self.config_proc = config_proc
def create_tensor_field(self, partial_state_updates, exo_proc, keys=['policies', 'states']):
def create_tensor_field(self, partial_state_updates, exo_proc, keys=['policies', 'variables']):
dfs = [self.config_proc.create_matrix_field(partial_state_updates, k) for k in keys]
df = pd.concat(dfs, axis=1)
for es, i in zip(exo_proc, range(len(exo_proc))):
@ -52,7 +52,7 @@ def time_step(dt_str, dt_format='%Y-%m-%d %H:%M:%S', _timedelta = tstep_delta):
ep_t_delta = timedelta(days=0, minutes=0, seconds=1)
def ep_time_step(s, dt_str, fromat_str='%Y-%m-%d %H:%M:%S', _timedelta = ep_t_delta):
if s['sub_step'] == 0:
if s['substep'] == 0:
return time_step(dt_str, fromat_str, _timedelta)
else:
return dt_str
@ -114,7 +114,7 @@ def sweep_states(state_type, states, in_config):
def exo_update_per_ts(ep):
@curried
def ep_decorator(f, y, var_dict, sub_step, sL, s, _input):
if s['sub_step'] + 1 == 1:
if s['substep'] + 1 == 1:
return f(var_dict, sub_step, sL, s, _input)
else:
return y, s[y]

View File

@ -51,7 +51,7 @@ class Executor:
self.apply_env_proc(env_processes, last_in_copy, last_in_copy['timestep']) # not time_step
last_in_copy["sub_step"], last_in_copy["time_step"], last_in_copy['run'] = sub_step, time_step, run
last_in_copy['substep'], last_in_copy['timestep'], last_in_copy['run'] = sub_step, time_step, run
sL.append(last_in_copy)
del last_in_copy
@ -62,7 +62,7 @@ class Executor:
sub_step = 0
states_list_copy = deepcopy(states_list)
genesis_states = states_list_copy[-1]
genesis_states['sub_step'], genesis_states['time_step'] = sub_step, time_step
genesis_states['substep'], genesis_states['timestep'] = sub_step, time_step
states_list = [genesis_states]
sub_step += 1
@ -93,7 +93,7 @@ class Executor:
states_list_copy = deepcopy(states_list)
head, *tail = self.run_pipeline(var_dict, states_list_copy, configs, env_processes, time_seq, run)
genesis = head.pop()
genesis['sub_step'], genesis['time_step'], genesis['run'] = 0, 0, run
genesis['substep'], genesis['timestep'], genesis['run'] = 0, 0, run
first_timestep_per_run = [genesis] + tail.pop(0)
pipe_run += [first_timestep_per_run] + tail
del states_list_copy