circuitpython-ulab/code/numerical.h

166 lines
5.4 KiB
C

/*
* This file is part of the micropython-ulab project,
*
* https://github.com/v923z/micropython-ulab
*
* The MIT License (MIT)
*
* Copyright (c) 2019-2020 Zoltán Vörös
*/
#ifndef _NUMERICAL_
#define _NUMERICAL_
#include "ulab.h"
#include "ndarray.h"
#if ULAB_NUMERICAL_MODULE
extern mp_obj_module_t ulab_numerical_module;
// 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 *);
#define RUN_ARGMIN(in, out, typein, typeout, len, start, increment, op, pos) do {\
typein *array = (typein *)(in)->array->items;\
typeout *outarray = (typeout *)(out)->array->items;\
size_t best_index = 0;\
if(((op) == NUMERICAL_MAX) || ((op) == NUMERICAL_ARGMAX)) {\
for(size_t i=1; i < (len); i++) {\
if(array[(start)+i*(increment)] > array[(start)+best_index*(increment)]) best_index = i;\
}\
if((op) == NUMERICAL_MAX) outarray[(pos)] = array[(start)+best_index*(increment)];\
else outarray[(pos)] = best_index;\
} else{\
for(size_t i=1; i < (len); i++) {\
if(array[(start)+i*(increment)] < array[(start)+best_index*(increment)]) best_index = i;\
}\
if((op) == NUMERICAL_MIN) outarray[(pos)] = array[(start)+best_index*(increment)];\
else outarray[(pos)] = best_index;\
}\
} while(0)
#define RUN_SUM(ndarray, type, optype, len, start, increment) do {\
type *array = (type *)(ndarray)->array->items;\
type value;\
for(size_t j=0; j < (len); j++) {\
value = array[(start)+j*(increment)];\
sum += value;\
}\
} while(0)
#define RUN_STD(ndarray, type, len, start, increment) do {\
type *array = (type *)(ndarray)->array->items;\
mp_float_t value;\
for(size_t j=0; j < (len); j++) {\
sum += array[(start)+j*(increment)];\
}\
sum /= (len);\
for(size_t j=0; j < (len); j++) {\
value = (array[(start)+j*(increment)] - sum);\
sum_sq += value * value;\
}\
} 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)
#define HEAPSORT(type, ndarray) do {\
type *array = (type *)(ndarray)->array->items;\
type tmp;\
for (;;) {\
if (k > 0) {\
tmp = array[start+(--k)*increment];\
} else {\
q--;\
if(q == 0) {\
break;\
}\
tmp = array[start+q*increment];\
array[start+q*increment] = array[start];\
}\
p = k;\
c = k + k + 1;\
while (c < q) {\
if((c + 1 < q) && (array[start+(c+1)*increment] > array[start+c*increment])) {\
c++;\
}\
if(array[start+c*increment] > tmp) {\
array[start+p*increment] = array[start+c*increment];\
p = c;\
c = p + p + 1;\
} else {\
break;\
}\
}\
array[start+p*increment] = tmp;\
}\
} while(0)
// This is pretty similar to HEAPSORT above; perhaps, the two could be combined somehow
// On the other hand, since this is a macro, it doesn't really matter
// Keep in mind that initially, index_array[start+s*increment] = s
#define HEAP_ARGSORT(type, ndarray, index_array) do {\
type *array = (type *)(ndarray)->array->items;\
type tmp;\
uint16_t itmp;\
for (;;) {\
if (k > 0) {\
k--;\
tmp = array[start+index_array[start+k*increment]*increment];\
itmp = index_array[start+k*increment];\
} else {\
q--;\
if(q == 0) {\
break;\
}\
tmp = array[start+index_array[start+q*increment]*increment];\
itmp = index_array[start+q*increment];\
index_array[start+q*increment] = index_array[start];\
}\
p = k;\
c = k + k + 1;\
while (c < q) {\
if((c + 1 < q) && (array[start+index_array[start+(c+1)*increment]*increment] > array[start+index_array[start+c*increment]*increment])) {\
c++;\
}\
if(array[start+index_array[start+c*increment]*increment] > tmp) {\
index_array[start+p*increment] = index_array[start+c*increment];\
p = c;\
c = p + p + 1;\
} else {\
break;\
}\
}\
index_array[start+p*increment] = itmp;\
}\
} while(0)
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_min_obj);
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_max_obj);
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_argmin_obj);
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_argmax_obj);
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_sum_obj);
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_mean_obj);
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_std_obj);
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_roll_obj);
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_flip_obj);
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_diff_obj);
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_sort_obj);
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_sort_inplace_obj);
MP_DECLARE_CONST_FUN_OBJ_KW(numerical_argsort_obj);
#endif
#endif