def state(n: np.ndarray, intensive: dict, extensive: dict, cell_id, cell_origin, position_in_cell,
particles) -> TestableState:
assert StateFactory.check_args(n, intensive, extensive)
sd_num = len(n)
attributes, keys = StateFactory.init_attributes_and_keys(particles, intensive, extensive, sd_num)
state = TestableState(n, attributes, keys, cell_id, cell_origin, position_in_cell, particles)
state.recalculate_cell_id()
return state
def state(n: np.ndarray, intensive: dict, extensive: dict, cell_id, cell_origin, position_in_cell,
particles) -> TestableState:
assert StateFactory.check_args(n, intensive, extensive)
sd_num = len(n)
attributes, keys, intensive_start = StateFactory.init_attributes_and_keys(particles, intensive, extensive, sd_num)
if particles.mesh is not None:
cell_start = np.empty(particles.mesh.n_cell + 1, dtype=int)
else:
cell_start = np.empty(0)
state = TestableState(n, attributes, keys, intensive_start,
cell_id, cell_start, cell_origin, position_in_cell, particles)
state.recalculate_cell_id()
return state