 ```python
import argparse
import sys
import numpy as np
import matplotlib.pyplot as plt
from scipy.sparse import linalg
from mumps import MKL_SPARSE
from fealpy.meshes import TriangleMesh
from fealpy.time.unifontime import UniformTimeLine
from fealpy.finiteelement.fe_spaces import LagrangeFiniteElementSpace
from fealpy.numerical_integration import DomainIntegrator
from fealpy.numerical_integration.quadrature import GaussQuadrature
from fealpy.pde.navier_stokes_mold_2d import PoisuillePDE
from fealpy.linear_algebra import BilinearForm, MixedBilinearForm
from fealpy.linear_algebra.linear_operator import ScalarConvectionIntegrator

parser = argparse.ArgumentParser()
parser.add_argument('--degree_motion', type=int, default=2)
parser.add_argument('--degree_pressure', type=int, default=1)
parser.add_argument('--num_time_divisions', type=int, default=100)
parser.add_argument('--evolution_end_time', type=float, default=1.0)
parser.add_argument('--output_directory', type=str, default='output')
parser.add_argument('--steps', type=int, default=10)
parser.add_argument('--non_linearization_method', type=str, default='newton')
args = parser.parse_args()

degree_motion = args.degree_motion
degree_pressure = args.degree_pressure
num_time_divisions = args.num_time_divisions
evolution_end_time = args.evolution_end_time
output_directory = args.output_directory
steps = args.steps
non_linearization_method = args.non_linearization_method

mesh = TriangleMesh(unit_square=True)
timeline = UniformTimeLine(num_time_divisions, evolution_end_time)

motion_fe_space = LagrangeFiniteElementSpace(mesh, degree_motion)
pressure_fe_space = LagrangeFiniteElementSpace(mesh, degree_pressure)
num_global_dofs_motion = motion_fe_space.num_global_dofs()
num_global_dofs_pressure = pressure_fe_space.num_global_dofs()

pde = PoisuillePDE(motion_fe_space, pressure_fe_space)

bilinear_form = BilinearForm(pde.a, MKL_SPARSE)
mixed_bilinear_form = MixedBilinearForm(pde.a, pde.L, MKL_SPARSE)

for integrator in pde.domain_integrators:
    bilinear_form.add_integrator(integrator)
    mixed_bilinear_form.add_integrator(integrator)

A = bilinear_form.assemble()
M = mixed_bilinear_form.assemble_mass_matrix()

error_matrix = np.zeros((num_time_divisions, num_global_dofs_motion))

for i in range(num_time_divisions):
    bilinear_form_new = BilinearForm(ScalarConvectionIntegrator(timeline[i+1]), MKL_SPARSE)
    bilinear_form_new.add_integrator(pde.domain_integrators[0])
    A_new = bilinear_form_new.assemble()

    divergence_matrix = np.zeros((num_global_dofs_motion, num_global_dofs_pressure))
    for j, q in enumerate(pde.quadrature_points):
        divergence_matrix += GaussQuadrature(q).integrate(pde.divergence, bilinear_form_new)

    M_new = M + divergence_matrix.T @ divergence_matrix
    b = np.zeros(num_global_dofs_motion)

    boundary_conditions = pde.boundary_conditions(timeline[i])
    for j, bc in enumerate(boundary_conditions):
        b += bc.apply(timeline[i])

    sol = linalg.spsolve(M_new, b)
    motion_function = motion_fe_space.interpolate(sol)
    pressure_function = pressure_fe_space.interpolate(linalg.spsolve(M, sol))

    error = np.linalg.norm(motion_function.values(), ord=2)
    error_matrix[i] = error

    if i % steps == 0:
        print(f"Time level {i+1}, error = {error}")

print(np.sum(np.abs(motion_function.values())))
```