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Editing File: /home/ubuntu/combine_ai/combine/lib/python3.10/site-packages/skimage/_shared/fast_exp.h

/* A fast approximation of the exponential function.
 * Reference [1]: https://schraudolph.org/pubs/Schraudolph99.pdf
 * Reference [2]: https://doi.org/10.1162/089976600300015033
 * Additional improvements by Leonid Bloch. */

#include <stdint.h>

/* use just EXP_A = 1512775 for integer version, to avoid FP calculations */
#define EXP_A (1512775.3951951856938)  /* 2^20/ln2 */
/* For min. RMS error */
#define EXP_BC 1072632447              /* 1023*2^20 - 60801 */
/* For min. max. relative error */
/* #define EXP_BC 1072647449 */        /* 1023*2^20 - 45799 */
/* For min. mean relative error */
/* #define EXP_BC 1072625005 */        /* 1023*2^20 - 68243 */

__inline double _fast_exp (double y)
{
    union
    {
        double d;
        struct { int32_t i, j; } n;
        char t[8];
    } _eco;

_eco.n.i = 1;

switch(_eco.t[0]) {
        case 1:
            /* Little endian */
            _eco.n.j = (int32_t)(EXP_A*(y)) + EXP_BC;
            _eco.n.i = 0;
            break;
        case 0:
            /* Big endian */
            _eco.n.i = (int32_t)(EXP_A*(y)) + EXP_BC;
            _eco.n.j = 0;
            break;
    }

return _eco.d;
}

__inline float _fast_expf (float y)
{
  return (float)_fast_exp((double)y);
}

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