def test_parser_06():
conf = hearsay.Parser()
conf.check_file()
fname = PATH / '../set/experiment_test.ini'
conf.check_file(fname)
conf.read_config_file()
assert len(conf.p) == 25
def test_parser_14():
conf = hearsay.Parser()
fname = PATH / '../set/experiment_test.ini'
conf.check_file(fname)
conf.load_config(['dir_output'], ['non_existent_dir'])
conf.check_settings()
assert len(conf.filenames) == 8
def test_parser_12(par, key, val, expected):
conf = hearsay.Parser()
conf.check_file()
fname = PATH / '../set/experiment_test.ini'
conf.check_file(fname)
conf.read_config_file()
conf.load_config([par], [val])
assert getattr(conf.p, key) == expected
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_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
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_parser_10():
conf = hearsay.Parser(['', 'non_existent_file'])
assert isinstance(conf, hearsay.Parser)
def test_parser_11():
conf = hearsay.Parser()
conf.check_file()
fname = PATH / '../set/experiment_test.ini'
conf.check_file(fname)
assert len(conf.filenames) == 8
def test_parser_08():
conf = hearsay.Parser()
assert isinstance(conf['experiment']['exp_ID'], str)
def test_parser_09():
conf = hearsay.Parser('non_existent_file')
assert isinstance(conf, hearsay.Parser)
def test_parser_01():
conf = hearsay.Parser()
assert isinstance(conf, hearsay.Parser)
def test_parser_07():
conf = hearsay.Parser()
assert isinstance(conf['experiment'], configparser.SectionProxy)
import numpy as np
from matplotlib import pyplot as plt
from scipy import ndimage
import matplotlib.cm as cm
from mpl_toolkits.axes_grid1 import make_axes_locatable
import pandas as pd
####################################################
# Figura 3
####################################################
#df = pd.read_csv('F2a.csv')
#config = hearsay.Parser('F2a.ini')
if len(argv) > 1:
config = hearsay.Parser(argv[1])
config.load_config()
G = hearsay.C3Net(config)
G.set_parameters()
else:
df = pd.read_csv('../out/KREE_02/params.csv')
config = hearsay.Parser('../out/KREE_02/KREE_02.ini')
conf = hearsay.Parser()
G = hearsay.C3Net(config)
G.set_parameters(df)
R = hearsay.Results(G)
R.load()
fn = G.config.filenames
fname = fn.dir_output + fn.exp_id
tau_a.append(i[0])
tau_s.append(i[1])
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)
for k, i in enumerate(z):
tau_a.append(i[0])
tau_s.append(i[1])
d_max.append(i[2])
fname.append(f"../out/T2/{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('T2.csv')
# 2) Correr las simulaciones :::::::::::::::::::
df = pd.read_csv('T2.csv')
config = hearsay.Parser('T2.ini')
config.load_config()
G = hearsay.C3Net(config)
G.set_parameters(df)
G.run()
df = pd.read_csv('T2.csv')
config = hearsay.Parser('T2.ini')
config.load_config()
G = hearsay.C3Net(config)
G.set_parameters(df)
R = hearsay.Results(G)
R.load()
res = R.redux()
def test_parser_12():
conf = hearsay.Parser(['', '../set/experiment_test.ini'])
conf.check_file(fname)
assert len(conf.filenames) == 8
def test_parser_02():
conf = hearsay.Parser()
fname = PATH / '../set/experiment_test.ini'
conf.check_file(fname)
assert isinstance(conf.filename, str)
def test_parser_13():
conf = hearsay.Parser(['non_existent_file'])
assert len(conf.filenames) == 8
def test_parser_03():
conf = hearsay.Parser()
fname = PATH / '../set/experiment_test.ini'
conf.check_file(fname)
conf.check_file('../set/experiment_test.ini')
assert conf.filename == '../set/experiment_test.ini'
fname = []
for k, i in enumerate(z):
tau_a.append(i[0])
tau_s.append(i[1])
d_max.append(i[2])
fname.append(f"../out/F5a/{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('F5a.csv')
df = pd.read_csv('F5a.csv')
conf = hearsay.Parser('F5a.ini')
conf.load_config()
G = hearsay.C3Net(conf)
G.set_parameters(df)
print('RUN simulation')
G.run()
print('REDUCE simulation')
R = hearsay.Results(G)
R.load()
res = R.redux()
FirstContactTimes = res['lF']
minval = 9999.
maxval = -9999.
def test_parser_04():
conf = hearsay.Parser()
conf.check_file()
assert conf.filename == '../set/experiment.ini'
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()
# Formas de cargar el modulo interactivo:
# En la terminal de ipython poner:
# %load_ext autoreload
# %autoreload 2
from hearsay import hearsay
import pandas as pd
from matplotlib import pyplot as plt
import numpy as np
# TUTORIAL 1: experiment from ini file
conf = hearsay.Parser('experiment.ini')
G = hearsay.C3Net(conf)
G.set_parameters()
net = G.run(interactive=True)
R = hearsay.Results(G)
R.load()
res = R.redux_1d()
plt.hist(res['A'])
plt.show()
# TUTORIAL 2: CORRER UNA SIMULACION
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])
