def test_define_candidates():
"""Test candidate definition from a list of procs and a list of samples."""
target = 1
tau_target = 3
max_lag_target = 10
current_val = (target, 10)
procs = [target]
samples = np.arange(current_val[1] - 1, current_val[1] - max_lag_target,
-tau_target)
# Test if candidates that are added manually to the conditioning set are
# removed from the candidate set.
nw = MultivariateTE()
nw.current_value = current_val
settings = [
{'add_conditionals': None},
{'add_conditionals': (2, 3)},
{'add_conditionals': [(2, 3), (4, 1)]},
{'add_conditionals': [(1, 9)]},
{'add_conditionals': [(1, 9), (2, 3), (4, 1)]}]
for s in settings:
nw.settings = s
candidates = nw._define_candidates(procs, samples)
assert (1, 9) in candidates, 'Sample missing from candidates: (1, 9).'
assert (1, 6) in candidates, 'Sample missing from candidates: (1, 6).'
assert (1, 3) in candidates, 'Sample missing from candidates: (1, 3).'
if s['add_conditionals'] is not None:
if type(s['add_conditionals']) is tuple:
cond_ind = nw._lag_to_idx([s['add_conditionals']])
else:
cond_ind = nw._lag_to_idx(s['add_conditionals'])
for c in cond_ind:
assert c not in candidates, (
'Sample added erronously to candidates: {}.'.format(c))
def test_define_candidates():
"""Test candidate definition from a list of procs and a list of samples."""
target = 1
tau_target = 3
max_lag_target = 10
current_val = (target, 10)
procs = [target]
samples = np.arange(current_val[1] - 1, current_val[1] - max_lag_target,
-tau_target)
nw = MultivariateTE()
candidates = nw._define_candidates(procs, samples)
assert (1, 9) in candidates, 'Sample missing from candidates: (1, 9).'
assert (1, 6) in candidates, 'Sample missing from candidates: (1, 6).'
assert (1, 3) in candidates, 'Sample missing from candidates: (1, 3).'
def test_define_candidates():
"""Test candidate definition from a list of procs and a list of samples."""
target = 1
tau_target = 3
max_lag_target = 10
current_val = (target, 10)
procs = [target]
samples = np.arange(current_val[1] - 1, current_val[1] - max_lag_target,
-tau_target)
nw = MultivariateTE()
candidates = nw._define_candidates(procs, samples)
assert (1, 9) in candidates, 'Sample missing from candidates: (1, 9).'
assert (1, 6) in candidates, 'Sample missing from candidates: (1, 6).'
assert (1, 3) in candidates, 'Sample missing from candidates: (1, 3).'
def test_define_candidates():
"""Test candidate definition from a list of procs and a list of samples."""
target = 1
tau_target = 3
max_lag_target = 10
current_val = (target, 10)
procs = [target]
samples = np.arange(current_val[1] - 1, current_val[1] - max_lag_target,
-tau_target)
# Test if candidates that are added manually to the conditioning set are
# removed from the candidate set.
nw = MultivariateTE()
settings = [{
'add_conditionals': None
}, {
'add_conditionals': (2, 3)
}, {
'add_conditionals': [(2, 3), (4, 1)]
}]
for s in settings:
nw.settings = s
candidates = nw._define_candidates(procs, samples)
assert (1, 9) in candidates, 'Sample missing from candidates: (1, 9).'
assert (1, 6) in candidates, 'Sample missing from candidates: (1, 6).'
assert (1, 3) in candidates, 'Sample missing from candidates: (1, 3).'
settings = [{
'add_conditionals': [(1, 9)]
}, {
'add_conditionals': [(1, 9), (2, 3), (4, 1)]
}]
for s in settings:
nw.settings = s
candidates = nw._define_candidates(procs, samples)
assert (1, 9) not in candidates, 'Sample missing from candidates: (1, 9).'
assert (1, 6) in candidates, 'Sample missing from candidates: (1, 6).'
assert (1, 3) in candidates, 'Sample missing from candidates: (1, 3).'
