Strange numba behaviour

Numba Community Support
2

Hi Alberto,

For what it’s worth, I cannot replicate the behavior you describe.

Your first example prints:

a_int: [3.90625000e-07 3.90625000e-03 1.56250000e-02 3.51562500e-02
 6.24875006e-02]   dtype:float64   type:<class 'numpy.ndarray'>
b_int: 0   type:<class 'int'>
XX1: [0.0025 0.25   0.5    0.75   0.9999]   dtype:float64   type:<class 'numpy.ndarray'>

With numba: [7.07150889 2.4470088  1.6399837  1.0224987  0.0185825 ]
With numpy: [7.07150889 2.4470088  1.6399837  1.0224987  0.0185825 ]

And the second simplified one:

a_int: [1 2 3 4]   dtype:int32   type:<class 'numpy.ndarray'>
b_int: 0   type:<class 'int'>
[-1.         -0.70710678 -0.57735027 -0.5       ]
[-1.         -0.70710678 -0.57735027 -0.5       ]

This was done using:

Numba 0.53.1
Numpy 1.20.3
Python 3.9.2

Are you perhaps using an older version of Numba?

Regards,
Rutger