Does not work right for big number

[TrinhNC]

Hi,

I'm trying this package with linear polyfit (polyfit_boost(x, y, 1)) for the values below, but it output different values as numpy.

x = { 1644487998.203166, 1644487998.319793, 1644487998.4947336, 1644487998.669674, 1644487998.7863007, 1644487998.9612412, 1644487999.1361816, 1644487999.311122, 1644487999.544376, 1644487999.6610029, 1644487999.8359432, 1644488000.0108836, 1644488000.185824, 1644488000.4190779, 1644488000.5357049}

y = { 836.64453867, 842.21457824, 849.86294357, 858.0944194 , 863.41256084, 870.97044193, 880.09775508, 887.30253895, 
898.01580567, 903.36690136, 910.9577752 , 918.34186103, 926.03658193, 936.03563531, 940.99893027 }

testValuesX = { 1644488000.6940126 }

polyfit_boost outputs:

Coefficients:
-9.57285e+07 0.0582123
Fitted y Values:
888.236

Numpy outputs:

Coefficients:
[ 4.48627229e+01 -7.37762086e+10]
Fitted y Values:
948.9762878417969

Do you have any solutions?