Potential problem with thresholds for bins around 0

[jaguerrerod]

I have a dataset with features with values -4, -3, -2, -1, 0, 1, 2, 3, 4
When I check the trees fitted I see cut points for bins -3.5, -2.5, -1.5, 1.5, 2.5, 3.5 all ok
But around 0 I see 1.0000000180025095e-35 and -1.0000000180025095e-35
Why not 0.5 and -0.5?
These extremely small values could be considered both 0 by the machine, and feature <= -1.0000000180025095e-35 could include 0 so both -1.0000000180025095e-35 and 1.0000000180025095e-35 would be the same cut point.
Why this election of cut points for bins?

[jameslamb]

@shiyu1994 can you please answer this?