micropython-ulab/code/numerical.h

63 lines
2.2 KiB
C

/*
* This file is part of the micropython-ulab project,
*
* https://github.com/v923z/micropython-ulab
*
* The MIT License (MIT)
*
* Copyright (c) 2019 Zoltán Vörös
*/
#ifndef _NUMERICAL_
#define _NUMERICAL_
#include "ndarray.h"
mp_obj_t numerical_linspace(size_t , const mp_obj_t *, mp_map_t *);
mp_obj_t numerical_sum(size_t , const mp_obj_t *, mp_map_t *);
mp_obj_t numerical_mean(size_t , const mp_obj_t *, mp_map_t *);
mp_obj_t numerical_std(size_t , const mp_obj_t *, mp_map_t *);
mp_obj_t numerical_min(size_t , const mp_obj_t *, mp_map_t *);
mp_obj_t numerical_max(size_t , const mp_obj_t *, mp_map_t *);
mp_obj_t numerical_argmin(size_t , const mp_obj_t *, mp_map_t *);
mp_obj_t numerical_argmax(size_t , const mp_obj_t *, mp_map_t *);
mp_obj_t numerical_roll(size_t , const mp_obj_t *, mp_map_t *);
// TODO: implement minimum/maximum, and cumsum
mp_obj_t numerical_minimum(mp_obj_t , mp_obj_t );
mp_obj_t numerical_maximum(mp_obj_t , mp_obj_t );
mp_obj_t numerical_cumsum(size_t , const mp_obj_t *, mp_map_t *);
mp_obj_t numerical_flip(size_t , const mp_obj_t *, mp_map_t *);
mp_obj_t numerical_diff(size_t , const mp_obj_t *, mp_map_t *);
mp_obj_t numerical_sort(size_t , const mp_obj_t *, mp_map_t *);
// this macro could be tighter, if we moved the ifs to the argmin function, assigned <, as well as >
#define ARG_MIN_LOOP(in, type, start, stop, stride, op) do {\
type *array = (type *)(in)->array->items;\
if(((op) == NUMERICAL_MAX) || ((op) == NUMERICAL_ARGMAX)) {\
for(size_t i=(start)+(stride); i < (stop); i+=(stride)) {\
if((array)[i] > (array)[best_idx]) {\
best_idx = i;\
}\
}\
} else{\
for(size_t i=(start)+(stride); i < (stop); i+=(stride)) {\
if((array)[i] < (array)[best_idx]) best_idx = i;\
}\
}\
} while(0)
#define CALCULATE_DIFF(in, out, type, M, N, inn, increment) do {\
type *source = (type *)(in)->array->items;\
type *target = (type *)(out)->array->items;\
for(size_t i=0; i < (M); i++) {\
for(size_t j=0; j < (N); j++) {\
for(uint8_t k=0; k < n+1; k++) {\
target[i*(N)+j] -= stencil[k]*source[i*(inn)+j+k*(increment)];\
}\
}\
}\
} while(0)
#endif