def create_reservoir():
connectivity = default_input('connectivity', 2)
n_nodes = default_input('n_nodes', 100)
input_connectivity = default_input('input_connectivity', 50)
rbn_reservoir = rbn_node.RBNNode(connectivity=connectivity,
output_dim=n_nodes,
input_connectivity=input_connectivity)
return rbn_reservoir
def create_reservoir():
connectivity = default_input('connectivity', 2)
n_nodes = default_input('n_nodes', 100)
input_connectivity = default_input('input_connectivity', 50)
rbn_reservoir = rbn_node.RBNNode(connectivity=connectivity,
output_dim=n_nodes,
input_connectivity=input_connectivity)
return rbn_reservoir
def create_dataset():
dataset_type = default_input('Dataset [temporal_parity, temporal_density]',
'temporal_parity')
n_datasets = default_input('Datasets', 10)
task_size = default_input('Dataset length', 200)
window_size = default_input('Window size', 3)
datasets = temporal.create_datasets(n_datasets,
task_size=task_size,
window_size=window_size,
dataset_type=dataset_type)
dataset_description = '[{}-{}-{}-{}]'.format(dataset_type, n_datasets,
task_size, window_size)
return datasets, dataset_description
def create_dataset():
dataset_type = default_input(
'Dataset [temporal_parity, temporal_density]', 'temporal_parity')
n_datasets = default_input('Datasets', 10)
task_size = default_input('Dataset length', 200)
window_size = default_input('Window size', 3)
datasets = temporal.create_datasets(
n_datasets,
task_size=task_size,
window_size=window_size,
dataset_type=dataset_type)
dataset_description = '[{}-{}-{}-{}]'.format(
dataset_type, n_datasets, task_size, window_size)
return datasets, dataset_description
def erb():
working_dir = get_working_dir()
log.setup(logging.DEBUG, path=working_dir)
window_size = default_input('Window size', 3)
n_nodes = default_input('N Nodes', 100)
connectivity = default_input('Connectivity', 2)
f = default_input('From', 0)
t = default_input('To', n_nodes + 1)
s = default_input('Step', n_nodes / 10)
r = range(f, t, s)
distribution = estimate_reservoir_distribution(
30, n_nodes, connectivity, r, window_size)
name = '[NN:{}-WS:{}-K:{}]-distribution'.format(n_nodes, window_size, connectivity)
dump(distribution, name, folder=working_dir)
def erb():
working_dir = get_working_dir()
log.setup(logging.DEBUG, path=working_dir)
window_size = default_input('Window size', 3)
n_nodes = default_input('N Nodes', 100)
connectivity = default_input('Connectivity', 2)
f = default_input('From', 0)
t = default_input('To', n_nodes + 1)
s = default_input('Step', n_nodes / 10)
r = range(f, t, s)
distribution = estimate_reservoir_distribution(30, n_nodes, connectivity,
r, window_size)
name = '[NN:{}-WS:{}-K:{}]-distribution'.format(n_nodes, window_size,
connectivity)
dump(distribution, name, folder=working_dir)
# Optionally dump newly created flow
if not user_denies('Pickle reservoir and readout layer?'):
flow_description = '{}-{}-[ACC:{}]'.format(
dataset_description,
rbn_reservoir.describe(),
accuracy)
dump(rbn_reservoir, flow_description + '-reservoir',
folder=working_dir)
dump(readout, flow_description + '-readout',
folder=working_dir)
# Evolve other reservoirs with similar dynamics
if not user_denies('Use readout layer to evolve similar rbn_reservoirs?'):
n_nodes = readout.input_dim
connectivity = default_input('Connectivity', 2)
n_runs = default_input('How many GA runs?', 1)
for i in range(n_runs):
reservoir_problem = RBNReservoirProblem(
n_nodes, connectivity, readout, test_dataset)
generation, adults = solve(reservoir_problem, path=working_dir)
fitnesses = [x.fitness for x in adults]
top3 = fitnesses[-3:]
top3.reverse()
mean = np.mean(fitnesses)
std = np.std(fitnesses)
description = (
logging.info("Accuracy: {} on {} items.".format(
accuracy, len(reservoir_input)))
# Optionally dump newly created flow
if not user_denies('Pickle reservoir and readout layer?'):
flow_description = '{}-{}-[ACC:{}]'.format(
dataset_description, rbn_reservoir.describe(), accuracy)
dump(rbn_reservoir,
flow_description + '-reservoir',
folder=working_dir)
dump(readout, flow_description + '-readout', folder=working_dir)
# Evolve other reservoirs with similar dynamics
if not user_denies('Use readout layer to evolve similar rbn_reservoirs?'):
n_nodes = readout.input_dim
connectivity = default_input('Connectivity', 2)
n_runs = default_input('How many GA runs?', 1)
for i in range(n_runs):
reservoir_problem = RBNReservoirProblem(n_nodes, connectivity,
readout, test_dataset)
generation, adults = solve(reservoir_problem, path=working_dir)
fitnesses = [x.fitness for x in adults]
top3 = fitnesses[-3:]
top3.reverse()
mean = np.mean(fitnesses)
std = np.std(fitnesses)
description = (
def update_expense(expense):
if expense.deleted_at:
return expense
if expense.payment:
return expense
try:
ignore_old_details = config.ignore_old_remarks
except Exception:
ignore_old_details = False
try:
skip_completed = config.skip_completed
except Exception:
skip_completed = False
s = splitwise.Splitwise(config.consumer_key,
config.consumer_secret,
api_key=config.API_key)
print(
'---------------------------------------------------------------------------------------'
)
print_formatted_text(
HTML('<ansigreen>' + _('Description: ') + '</ansigreen>' +
get_display(expense.description) + '(' +
utils.to_simple_local_date_string(expense.date) + ')'))
if utils.is_json(expense.details):
if skip_completed:
return expense
det = json.loads(expense.details)
upgrade = det['is_boat_upgrade']
if upgrade:
upgrade = 'Y'
else:
upgrade = 'N'
ug = utils.default_input(_('Is considered upgrade?') + '(' + upgrade +
')',
upgrade, ['Y', 'N'],
ignore_case=True)
category = det['category']
category = utils.default_input(_('Expense category?'),
category,
categories,
ignore_case=True)
store = det['store']
store = utils.session_input(_('Store?'), session, store)
remarks = det['remarks']
else:
print_formatted_text(
HTML('<ansigreen>' + _('Details: ') + '</ansigreen>' +
get_display(str(expense.details))))
ug = utils.default_input(_('Is considered upgrade?') + '(Y/N)',
'N', ['Y', 'N'],
ignore_case=True)
category = utils.default_input(_('Expense category?'),
'Other',
options=categories,
ignore_case=True)
store = utils.session_input(_('Store?'), session, '')
remarks = "" if ignore_old_details else expense.details
ug = utils.convert_yn_to_bool(ug)
new_details = create_details_json(remarks, category, store, ug)
e = Expense()
e.id = expense.id
e.setDetails(new_details)
return s.updateExpense(e)
