A Linux administrator is writing a Python 3 script to calculate the total disk space used by a large number of files. The resulting value is expected to be an extremely large number, potentially exceeding the maximum value of a typical 64-bit integer. How does Python 3 handle this situation when storing the value in an integer variable?
It raises an OverflowError because the value exceeds the platform's standard integer size.
It converts the value to a float data type, which may result in a loss of precision.
It requires the administrator to import and use a specific bigint module to handle the large value.
It automatically expands the memory for the integer, which can store a value of arbitrary size.
In Python 3, the int data type supports arbitrary-precision integers. This means that integers can grow to any size, limited only by the available system memory. Python automatically manages the memory allocation for the integer, so there is no need to use a special library or data type for large numbers, and it does not raise an OverflowError. The number is not converted to a float, which would risk a loss of precision. This feature is particularly useful for system administration tasks that may involve very large numbers, such as calculating disk usage in bytes or handling nanosecond timestamps.
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