def test_GN_03():
conf = hearsay.Parser()
conf.load_config(['nran'], ['2'])
G = hearsay.C3Net(conf)
G.set_parameters()
A = [20000, 30000, 40000]
S = [10000, 12000, 14000]
D = [10000, 12000, 14000]
G.set_parameters(A=A, S=S, D=D)
res = G.run(interactive=True)
assert len(res) == 54
def test_GN_04():
conf = hearsay.Parser()
conf.load_config(['nran'], ['1'])
G = hearsay.C3Net(conf)
G.set_parameters()
A = [20000, 30000]
S = [10000, 12000]
D = [10000]
lista = [A, S, D]
G.set_parameters(spars=lista)
res = G.run(interactive=True)
assert len(res) == 4
def test_GN_08():
conf = hearsay.Parser()
conf.load_config(['nran', 'njobs', 'run_parallel'], ['10', '2', 'Y'])
G = hearsay.C3Net(conf)
G.set_parameters()
A = [20000]
S = [10000]
D = [10000]
lista = [A, S, D]
G.set_parameters(spars=lista)
res = G.run(interactive=True)
res = G.show_single_ccns(interactive=True)
assert isinstance(res, dict)
def test_results_01():
conf = hearsay.Parser()
conf.load_config(['nran'], ['1'])
G = hearsay.C3Net(conf)
G.set_parameters()
A = [20000, 30000]
S = [10000, 12000]
D = [10000]
lista = [A, S, D]
G.set_parameters(spars=lista)
res = G.run(interactive=True)
R = hearsay.Results(G)
R.load()
res = R.show_ccns(0, True)
assert isinstance(res, dict)
def test_GN_01():
conf = hearsay.Parser()
G = hearsay.C3Net(conf)
conf.load_config(['nran'], ['7'])
tau_awakening = 20000
tau_survive = 20000
D_max = 20000
directory = ''.join(
[G.config.filenames.dir_output, G.config.filenames.exp_id])
filename = ''.join([directory, 'test.pk'])
pars = [[tau_awakening, tau_survive, D_max, filename]]
df = pd.DataFrame(
pars, columns=['tau_awakening', 'tau_survive', 'D_max', 'filename'])
G.set_parameters(df)
res = G.run(interactive=True)
assert len(res) == 1
from hearsay import hearsay
from sys import argv
if len(argv) > 1:
conf = hearsay.Parser(argv[1])
else:
conf = hearsay.Parser()
G = hearsay.C3Net(conf)
G.set_parameters()
G.run()
d_max.append(i[2])
fname.append(f"../out/F2b/{str(k).zfill(5)}_001.pk")
df = pd.DataFrame(
list(zip(tau_a, tau_s, d_max, fname)),
columns=['tau_awakening', 'tau_survive', 'D_max', 'filename'])
df.to_csv('F2b.csv')
# 1) Correr las simulaciones :::::::::::::::::::
# ....(a)
df = pd.read_csv('F2b.csv')
config = hearsay.Parser('F2b.ini')
config.load_config()
G = hearsay.C3Net(config)
G.set_parameters(df)
G.run()
# 2) Leer las simulaciones :::::::::::::::::::::
dfa = pd.read_csv('F2b.csv')
config = hearsay.Parser('F2b.ini')
config.load_config()
G = hearsay.C3Net(config)
G.set_parameters(dfa)
R = hearsay.Results(G)
R.load()
res = R.redux()
