Mon. Sep 26th, 2022

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    In some cases, your computer may display an error indicating that a python capture overflow error has occurred. There can be several reasons for this error to appear. The calculation may get an overflow error while doing the calculation, but I would argue that the computer cannot store the answer correctly without a doubt. All computers have a very predefined range of values ​​they can represent or store. Overflow errors occur when the execution of a pair of commands returns a value outside of this range.


    python catch overflow error

    When a wonderful arithmetic operation goes beyond the type of the variable, an OverflowError may occur. Long integers allocate more space as values ​​increase, so they raise MemoryError from bottom to top. However, floating point exception handling is not standardized. If necessary, regular integers are converted to long.

    Example

    i=1To attempt:f = 3.0**ifor rear range (100):pressure i, ff=ver** overflow error 2without error:print ‘Overflow soon at ‘, f, err

    Exit

    C:/Users/TutorialsPoint1/~scratch_1.pyfloating point values:0 3.01 9.02 81.03 6561.04 43046721.05 1.85302018885e+156 3.43368382029e+307 1.17901845777e+618 1.39008452377e+1229 1.93233498323e+244Overflow to 1.93233498323e+244 (34, "Result too big")

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