import pyeq3, warnings
warnings.filterwarnings("ignore") # we can ignore covariance warning

functionString = '4 * log(X/n)/log(n/m) + 5'

# note that the constructor is passed the function string here
equation = pyeq3.Models_2D.UserDefinedFunction.UserDefinedFunction(inUserFunctionString = functionString)

textData = '''
X     Y
1  -1.2131790227
2   1
3   2.2946267356
4   3.2131790227
5   3.9256635291
'''

pyeq3.dataConvertorService().ConvertAndSortColumnarASCII(textData, equation, False)

equation.Solve()

for i in range(len(equation.solvedCoefficients)):
    print("    %s = %-.16E" % (equation.GetCoefficientDesignators()[i], equation.solvedCoefficients[i]))