python - test if two segments are roughly collinear using numpy

I want to test if two segments are roughly collinear using numpy.cross. I have the coordinates in meters of the segments.

import numpy as np

segment_A_x1 = -8020537.5158307655
segment_A_y1 = 5674541.918222183
segment_A_x2 = -8020547.42095263
segment_A_y2 = 5674500.781350276

segment_B_x1 = -8020556.569040865
segment_B_y1 = 5674462.788207927
segment_B_x2 = -8020594.740831952
segment_B_y2 = 5674328.095911447

a = np.array([[segment_A_x1, segment_A_y1], [segment_A_x2, segment_A_y2]])
b = np.array([[segment_B_x1, segment_B_y1], [segment_B_x2, segment_B_y2]])
crossproduct = np.cross(a, b)

>>>array([7.42783487e+08, 1.65354844e+09])

The crossproduct values are pretty high even if I would say those two segments are roughly collinear. Why?

How can I determine if the segments are colinear with the crossproduct result?

Is there a possibility of using a tolerance in meters to tell if the segments are roughly collinear?

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