def appArgs():
val = (ctypes.c_char_p * 4)()
(val[0], val[1], val[2], val[3]) = [
b'Nx=<100>', b'Ny=<100>', b'overlap=<1>', b'generate_random_rhs=<0>'
]
desc = (ctypes.c_char_p * 4)()
(desc[0], desc[1], desc[2], desc[3]) = [
b'Number of grid points in the x-direction.',
b'Number of grid points in the y-direction.',
b'Number of grid points in the overlap.',
b'Number of generated random right-hand sides.'
]
hpddm.optionParseInts(opt, args, 4,
ctypes.cast(val, ctypes.POINTER(ctypes.c_char_p)),
ctypes.cast(desc, ctypes.POINTER(ctypes.c_char_p)))
(val[0], val[1]) = [b'symmetric_csr=(0|1)', b'nonuniform=(0|1)']
(desc[0], desc[1]) = [
b'Assemble symmetric matrices.',
b'Use a different number of eigenpairs to compute on each subdomain.'
]
hpddm.optionParseArgs(opt, args, 2,
ctypes.cast(val, ctypes.POINTER(ctypes.c_char_p)),
ctypes.cast(desc, ctypes.POINTER(ctypes.c_char_p)))
val = None
desc = None
def appArgs():
val = (ctypes.c_char_p * 4)()
(val[0], val[1], val[2], val[3]) = [ b'Nx=<100>', b'Ny=<100>', b'overlap=<1>', b'generate_random_rhs=<0>' ]
desc = (ctypes.c_char_p * 4)()
(desc[0], desc[1], desc[2], desc[3]) = [ b'Number of grid points in the x-direction.', b'Number of grid points in the y-direction.', b'Number of grid points in the overlap.', b'Number of generated random right-hand sides.' ]
hpddm.optionParseInts(opt, args, 4, ctypes.cast(val, ctypes.POINTER(ctypes.c_char_p)), ctypes.cast(desc, ctypes.POINTER(ctypes.c_char_p)))
(val[0], val[1]) = [ b'symmetric_csr=(0|1)', b'nonuniform=(0|1)' ]
(desc[0], desc[1]) = [ b'Assemble symmetric matrices.', b'Use a different number of eigenpairs to compute on each subdomain.' ]
hpddm.optionParseArgs(opt, args, 2, ctypes.cast(val, ctypes.POINTER(ctypes.c_char_p)), ctypes.cast(desc, ctypes.POINTER(ctypes.c_char_p)))
val = None
desc = None
def appArgs():
val = (ctypes.c_char_p * 2)()
(val[0], val[1]) = [ b'generate_random_rhs=<1>', b'fill_factor=<18>' ]
desc = (ctypes.c_char_p * 2)()
(desc[0], desc[1]) = [ b'Number of generated random right-hand sides.', b'Specifies the fill ratio upper bound (>= 1.0) for ILU.' ]
hpddm.optionParseInts(opt, args, 2, ctypes.cast(val, ctypes.POINTER(ctypes.c_char_p)), ctypes.cast(desc, ctypes.POINTER(ctypes.c_char_p)))
val[0] = b'drop_tol=<1.0e-4>'
desc[0] = b'Drop tolerance (0 <= tol <= 1) for an incomplete LU decomposition.'
hpddm.optionParseDoubles(opt, args, 1, ctypes.cast(val, ctypes.POINTER(ctypes.c_char_p)), ctypes.cast(desc, ctypes.POINTER(ctypes.c_char_p)))
val[0] = b'matrix_filename=<input_file>'
desc[0] = b'Name of the file in which the matrix is stored.'
hpddm.optionParseArgs(opt, args, 1, ctypes.cast(val, ctypes.POINTER(ctypes.c_char_p)), ctypes.cast(desc, ctypes.POINTER(ctypes.c_char_p)))
val = None
desc = None