def test_det_limit(self):
Mnd = bm.get_model(self.model_name,
p_in=.5,
p_out=0,
opts=dict(no_det_limit=True))
Md = bm.get_model(self.model_name,
p_in=.5,
p_out=0,
opts=dict(no_det_limit=False))
# Test the command line no-det-limit option works.
argv = [
bm.__file__,
self.model_name,
'/nonexistant', # outdir
'--graph-format=null',
'--comm-format=null'
]
Mnd2, args = bm.main_argv(argv=argv + ['--no-det-limit'])
# Default shourd be detectability limit.
Md2, args = bm.main_argv(argv=argv)
assert_equal(len(Mnd.comms(0)), 3)
assert_equal(len(Mnd.comms(1)), 4)
assert_equal(len(Md.comms(0)), 3)
assert_equal(len(Md.comms(1)), 3)
assert_equal(len(Mnd2.comms(0)), 3)
assert_equal(len(Mnd2.comms(1)), 4)
assert_equal(len(Md2.comms(0)), 3)
assert_equal(len(Md2.comms(1)), 3)
def test_num_comms(self):
M = bm.get_model(self.model_name, p_in=.5, p_out=0)
assert_equal(len(M.comms(0)), 4)
assert_equal(len(M.comms(25)), 4)
assert_equal(len(M.comms(50)), 3)
assert_equal(len(M.comms(85)), 4)
assert_equal(len(M.comms(100)), 4)
def test_num_comms(self):
M = bm.get_model(self.model_name, p_in=.5, p_out=0)
assert_equal(len(M.comms(0)), 4)
assert_equal(len(M.comms(25)), 4)
assert_equal(len(M.comms(50)), 3)
assert_equal(len(M.comms(85)), 4)
assert_equal(len(M.comms(100)), 4)
def test_ccs(self):
M = bm.get_model(self.model_name, p_in=.5, p_out=0)
g = M.t(0)
assert_compnents(g, 4)
g = M.t(50)
assert_compnents(g, 3)
g = M.t(25)
assert_compnents(g, 3)
def test_Gnm(self):
M = bm.get_model(self.model_name,
p_in=.5,
p_out=.5,
opts=dict(Gnm=True))
edges = M.t(0).number_of_edges()
expected_edges = 128 * 127 / 2 * .5
assert_almost_equals(edges, expected_edges, delta=5)
def test_ccs(self):
M = bm.get_model(self.model_name, p_in=.5, p_out=0)
g = M.t(0)
assert_compnents(g, getattr(self, 'n_ccs', 4))
g = M.t(50)
assert_compnents(g, getattr(self, 'n_ccs', 4))
g = M.t(25)
assert_compnents(g, getattr(self, 'n_ccs_off', 4))
def test_ccs(self):
M = bm.get_model(self.model_name, p_in=.5, p_out=0)
g = M.t(0)
assert_compnents(g, getattr(self, 'n_ccs', 4))
g = M.t(50)
assert_compnents(g, getattr(self, 'n_ccs', 4))
g = M.t(25)
assert_compnents(g, getattr(self, 'n_ccs_off', 4))
def test_det_limit(self):
Mnd = bm.get_model(self.model_name, p_in=.5, p_out=0,
opts=dict(no_det_limit=True))
Md = bm.get_model(self.model_name, p_in=.5, p_out=0,
opts=dict(no_det_limit=False))
# Test the command line no-det-limit option works.
argv = [bm.__file__, self.model_name, '/nonexistant', # outdir
'--graph-format=null','--comm-format=null']
Mnd2, args = bm.main_argv(argv=argv+['--no-det-limit'])
# Default shourd be detectability limit.
Md2, args = bm.main_argv(argv=argv)
assert_equal(len(Mnd.comms(0)), 3)
assert_equal(len(Mnd.comms(1)), 4)
assert_equal(len(Md.comms(0)), 3)
assert_equal(len(Md.comms(1)), 3)
assert_equal(len(Mnd2.comms(0)), 3)
assert_equal(len(Mnd2.comms(1)), 4)
assert_equal(len(Md2.comms(0)), 3)
assert_equal(len(Md2.comms(1)), 3)
def test_all_managed():
assert_all_managed(bm.get_model('StdGrow'))
assert_all_managed(bm.get_model('StdMerge'))
assert_all_managed(bm.get_model('StdMixed'))
assert_all_managed(bm.get_model('StdGrow', q=8))
assert_all_managed(bm.get_model('StdMerge', q=8))
assert_all_managed(bm.get_model('StdMixed', q=8))
def test_all_managed():
assert_all_managed(bm.get_model('StdGrow' ))
assert_all_managed(bm.get_model('StdMerge'))
assert_all_managed(bm.get_model('StdMixed'))
assert_all_managed(bm.get_model('StdGrow' , q=8))
assert_all_managed(bm.get_model('StdMerge', q=8))
assert_all_managed(bm.get_model('StdMixed', q=8))
def getM():
return bm.get_model(self.model_name, p_in='k=15', p_out='ktot=45')
def getM():
return bm.get_model(self.model_name, p_in=.6, p_out=.6)
def getM():
return bm.get_model(self.model_name, p_in='k=15', p_out='ktot=45')
def test_ccs(self):
M = bm.get_model(self.model_name, p_in=.5, p_out=0)
g = M.t(0); assert_compnents(g, 4)
g = M.t(50); assert_compnents(g, 3)
g = M.t(25); assert_compnents(g, 3)
def getM():
return bm.get_model(self.model_name, p_in='k=20', p_out='k=5')
def test_Gnm(self):
M = bm.get_model(self.model_name, p_in=.5, p_out=.5,
opts=dict(Gnm=True))
edges = M.t(0).number_of_edges()
expected_edges = 128*127 / 2 * .5
assert_almost_equals(edges, expected_edges, delta=5)
def getM():
return bm.get_model(self.model_name, p_in='k=20', p_out='k=5')
def test_size(self):
M = bm.get_model(self.model_name)
assert len(M.t(0)) == 128
def test_all_managed(self):
assert_all_managed(bm.get_model(self.model_name))
assert_all_managed(bm.get_model(self.model_name, q=8))
assert_all_managed(bm.get_model(self.model_name, p_in=.5, p_out=.5))
def test_all_managed(self):
assert_all_managed(bm.get_model(self.model_name))
assert_all_managed(bm.get_model(self.model_name, q=8))
assert_all_managed(bm.get_model(self.model_name, p_in=.5, p_out=.5))
def test_size(self):
M = bm.get_model(self.model_name)
assert len(M.t(0)) == 128
def getM():
return bm.get_model(self.model_name, p_in=.6, p_out=.6)
