```python
import argparse
import sys
import numpy as np
import matplotlib.pyplot as plt
import scipy.sparse as sp
import scipy.sparse.linalg
from mumps import DMumpsContext
from fealpy.mesh import MeshFactory as MF
from fealpy.timeintegratoralg import UniformTimeLine
from fealpy.functionspace import LagrangeFiniteElementSpace
from fealpy.bilinearform import BilinearForm, MixedBilinearForm
from fealpy.boundarycondition import DirichletBC
from fealpy.functionspace import Function
from navier_stokes_mold_2d import PoisuillePDE

# Set up command-line argument parser
parser = argparse.ArgumentParser(description="Solve Poisuille PDE using FEM")
parser.add_argument("--degree_motion", type=int, default=2, help="Degree of motion finite element space")
parser.add_argument("--degree_pressure", type=int, default=1, help="Degree of pressure finite element space")
parser.add_argument("--num_time_divisions", type=int, default=100, help="Number of time divisions")
parser.add_argument("--end_time", type=float, default=1.0, help="Evolution end time")
parser.add_argument("--output_dir", type=str, default="./output", help="Output directory")
parser.add_argument("--steps", type=int, default=10, help="Output steps")
parser.add_argument("--non_linearization_method", type=str, default="Picard", help="Non-linearization method")

# Parse arguments
args = parser.parse_args()

# Define variables
degree_motion = args.degree_motion
degree_pressure = args.degree_pressure
num_time_divisions = args.num_time_divisions
end_time = args.end_time
output_dir = args.output_dir
steps = args.steps
non_linearization_method = args.non_linearization_method

# Create mesh and time line
mesh = MF.boxmesh2d([0, 1, 0, 1], nx=10, ny=10, meshtype='tri')
timeline = UniformTimeLine(0, end_time, num_time_divisions)

# Define finite element spaces
space_motion = LagrangeFiniteElementSpace(mesh, p=degree_motion)
space_pressure = LagrangeFiniteElementSpace(mesh, p=degree_pressure)

# Calculate global degrees of freedom
gdof_motion = space_motion.number_of_global_dofs()
gdof_pressure = space_pressure.number_of_global_dofs()

# Set up bilinear and mixed bilinear forms
bilinear_form = BilinearForm(space_motion, PoisuillePDE.integrator)
mixed_bilinear_form = MixedBilinearForm(space_motion, space_pressure, PoisuillePDE.integrator)

# Assemble matrices
bilinear_form.assemble()
mixed_bilinear_form.assemble()

A = bilinear_form.matrix
B = mixed_bilinear_form.matrix

# Calculate mass matrix
M = space_motion.mass_matrix()

# Initialize error matrix
error_matrix = np.zeros((num_time_divisions, 2))  # L2 error and maximum error

# Time evolution loop
for i in range(num_time_divisions):
    timeline.advance()

    # Add ScalarConvectionIntegrator
    convection_form = BilinearForm(space_motion, PoisuillePDE.integrator)
    convection_form.assemble()
    C = convection_form.matrix

    # Calculate divergence matrix and new matrix M
    # Placeholder for actual divergence matrix calculation
    D = sp.eye(gdof_motion)  # Placeholder for divergence matrix
    M_new = M + timeline.current_time_step_size() * C

    # Calculate source vector and set up boundary conditions
    f = np.zeros(gdof_motion)  # Placeholder for actual source vector calculation
    bc = DirichletBC(space_motion, lambda x: 0)

    # Solve system of equations
    x = sp.linalg.spsolve(M_new, f)

    # Update motion and pressure functions
    motion = Function(space_motion)
    motion[:] = x
    pressure = Function(space_pressure)
    # Placeholder for pressure update

    # Calculate L2 error and maximum error
    # Placeholder for error calculation
    error_matrix[i, :] = [0, 0]  # Placeholder for actual error calculation

    # Advance to the next time level
    # Placeholder for any necessary operations to advance time

# Print the sum of absolute values of the motion function
print(np.sum(np.abs(motion[:])))
```