def recenter(com, dim, arr):
"""
Recenters the simulation
:param com: center_of_mass
:param dim: dimensions of array
:param array: the array
:return: ver (vertical movement), hor (horizontal movement)
"""
ver = 0
hor = 0
com = np.asarray(com)
center = np.asarray([dim[0] / 2, dim[1] / 2])
if not com.any(): com = center
offcenter = center - com
norm = cph.norm(offcenter[0], offcenter[1])
if norm > 2:
if offcenter[0] > 0:
cy.roll_rows_pointer(1, dim, arr)
ver += 1
else:
cy.roll_rows_pointer(-1, dim, arr)
ver -= 1
if offcenter[1] > 0:
cy.roll_columns_pointer(1, dim, arr)
hor += 1
else:
cy.roll_columns_pointer(-1, dim, arr)
hor -= 1
return ver, hor
def basic_update(self, kwargs):
logging.debug('Basic update')
cf.ising_process(kwargs['updates'], kwargs['beta'], kwargs['dim_h'],
kwargs['arr_h'])
cf.add_stochastic_noise(kwargs['threshold'], kwargs['dim_h'],
kwargs['arr_h'])
cy.set_bounds(kwargs['bounds'], kwargs['dim_h'], kwargs['arr_h'])
cy.roll_columns_pointer(kwargs['roll'][0], kwargs['dim_h'],
kwargs['arr_h'])
cy.roll_rows_pointer(kwargs['roll'][1], kwargs['dim_h'],
kwargs['arr_h'])
cy.set_bounds(kwargs['bounds'], kwargs['dim_h'], kwargs['arr_h'])
cy.scroll_bars(kwargs['dim_h'], kwargs['arr_h'], kwargs['bars'])
cf.scroll_noise(kwargs['dim_h'], kwargs['arr_h'], kwargs['fuzz'])
cf.conway_process(
cf.prepair_rule(kwargs['rules'], kwargs['head_position']),
kwargs['dim_h'], kwargs['arr_h'])
cy.set_bounds(kwargs['bounds'], kwargs['dim_h'], kwargs['arr_h'])
if self.st.general.growth:
_, _ = phi.recenter(
cph.center_of_mass(kwargs['dim_h'], kwargs['arr_h']),
kwargs['dim_h'], kwargs['arr_h'])
def test_roll_columns_pointer_back(self):
arrout = tst_arr()
cy.roll_columns_pointer(-1, tst_dim(), arrout)
cy.roll_columns_pointer(-1, tst_dim(), arrout)
testing.assert_array_equal(arrout, np.roll(tst_arr(), -2, axis=1))