Deviations from Python semantics ================================ Integer width ------------- While Python has arbitrary-sized integers, integers in Numba-compiled functions get a fixed size through :term:`type inference` (usually, the size of a machine integer). This means that arithmetic operations can wrapround or produce undefined results or overflow. Type inference can be overriden by an explicit type specification, if fine-grained control of integer width is desired. .. seealso:: :ref:`Enhancement proposal 1: Changes in integer typing ` Boolean inversion ----------------- Calling the bitwise complement operator (the ``~`` operator) on a Python boolean returns an integer, while the same operator on a Numpy boolean returns another boolean:: >>> ~True -2 >>> ~np.bool_(True) False Numba follows the Numpy semantics. Global and closure variables ---------------------------- In :term:`nopython mode`, global and closure variables are *frozen* by Numba: a Numba-compiled function sees the value of those variables at the time the function was compiled. Also, it is not possible to change their values from the function. Numba **may or may not** copy global variables referenced inside a compiled function. Small global arrays are copied for potential compiler optimization with immutability assumption. However, large global arrays are not copied to conserve memory. The definition of "small" and "large" may change. .. todo:: This document needs completing.