def para_init(n_steps, C):
'''
Like init, but takes a complex array of dimension (Nz, 2, dimR, Nx/2)
as an input for the initial condition instead of a restart file.
Used in parallel LSS.
'''
global __is_initialized__
assert not __is_initialized__
__is_initialized__ = True
assert n_steps >= 0
c_channel.c_init(int(Nx),int(Ny),int(Nz),
float(Lx),float(Lz),float(Re),
float(meanU*2),float(dt),int(n_steps))
assert C.shape == (c_channel.c_Nz(), 2, c_channel.c_dimR(),
c_channel.c_Nx() / 2)
c_channel.c_primal(0, C)
def init(n_steps, ru_steps=0, restart=None):
'''
Must be called before any other calls in this module.
n_steps: the number of time steps to run and save
ru_steps: the number of run up time steps (not including n_steps).
These steps are not saved.
restart: If None (default), start from a perturbed laminar solution.
If a filename, read the .hd5 file as the restart file.
'''
global __is_initialized__
assert not __is_initialized__
__is_initialized__ = True
assert n_steps >= 0 and ru_steps >= 0
c_channel.c_init(int(Nx),int(Ny),int(Nz),
float(Lx),float(Lz),float(Re),
float(meanU*2),float(dt),int(n_steps))
if restart is None:
c_channel.c_primal(int(ru_steps), np.zeros([0,0,0,0], complex))
else:
C = read_solution(restart)
assert C.shape == (c_channel.c_Nz(), 2, c_channel.c_dimR(),
c_channel.c_Nx() / 2)
c_channel.c_primal(int(ru_steps), C)