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numpy/random.c: fix use of MICROPY_PY_RANDOM_SEED_INIT_FUNC (#684)

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Dan Halbert 2024-09-09 00:55:05 -04:00 committed by GitHub
parent a77022dcd0
commit 1d3ddd8f52
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1 changed files with 8 additions and 8 deletions
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16
code/numpy/random/random.c
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@ -41,7 +41,7 @@ MP_DEFINE_CONST_OBJ_TYPE(
MP_QSTR_generator,
MP_TYPE_FLAG_NONE,
print, random_generator_print,
make_new, random_generator_make_new,
make_new, random_generator_make_new,
locals_dict, &random_generator_locals_dict
);
#else
@ -76,11 +76,12 @@ mp_obj_t random_generator_make_new(const mp_obj_type_t *type, size_t n_args, siz
if(args[0] == mp_const_none) {
#ifndef MICROPY_PY_RANDOM_SEED_INIT_FUNC
mp_raise_ValueError(MP_ERROR_TEXT("no default seed"));
#endif
#else
random_generator_obj_t *generator = m_new_obj(random_generator_obj_t);
generator->base.type = &random_generator_type;
generator->state = MICROPY_PY_RANDOM_SEED_INIT_FUNC;
return MP_OBJ_FROM_PTR(generator);
#endif
} else if(mp_obj_is_int(args[0])) {
random_generator_obj_t *generator = m_new_obj(random_generator_obj_t);
generator->base.type = &random_generator_type;
@ -89,7 +90,7 @@ mp_obj_t random_generator_make_new(const mp_obj_type_t *type, size_t n_args, siz
} else if(mp_obj_is_type(args[0], &mp_type_tuple)){
mp_obj_tuple_t *seeds = MP_OBJ_TO_PTR(args[0]);
mp_obj_t *items = m_new(mp_obj_t, seeds->len);
for(uint8_t i = 0; i < seeds->len; i++) {
random_generator_obj_t *generator = m_new_obj(random_generator_obj_t);
generator->base.type = &random_generator_type;
@ -175,7 +176,7 @@ static mp_obj_t random_normal(size_t n_args, const mp_obj_t *pos_args, mp_map_t
mp_float_t *array = (mp_float_t *)ndarray->array;
// numpy's random supports only dense output arrays, so we can simply
// numpy's random supports only dense output arrays, so we can simply
// loop through the elements in a linear fashion
for(size_t i = 0; i < ndarray->len; i = i + 2) {
#if MICROPY_FLOAT_IMPL == MICROPY_FLOAT_IMPL_FLOAT
@ -248,7 +249,7 @@ static mp_obj_t random_random(size_t n_args, const mp_obj_t *pos_args, mp_map_t
if(!mp_obj_is_type(out, &ulab_ndarray_type)) {
mp_raise_TypeError(MP_ERROR_TEXT("out has wrong type"));
}
ndarray = MP_OBJ_TO_PTR(out);
if(ndarray->dtype != NDARRAY_FLOAT) {
@ -283,10 +284,10 @@ static mp_obj_t random_random(size_t n_args, const mp_obj_t *pos_args, mp_map_t
mp_float_t *array = (mp_float_t *)ndarray->array;
// numpy's random supports only dense output arrays, so we can simply
// numpy's random supports only dense output arrays, so we can simply
// loop through the elements in a linear fashion
for(size_t i = 0; i < ndarray->len; i++) {
#if MICROPY_FLOAT_IMPL == MICROPY_FLOAT_IMPL_FLOAT
uint32_t x = pcg32_next(&self->state);
*array = (float)(int32_t)(x >> 8) * 0x1.0p-24f;
@ -375,4 +376,3 @@ const mp_obj_module_t ulab_numpy_random_module = {
.base = { &mp_type_module },
.globals = (mp_obj_dict_t*)&mp_module_ulab_numpy_random_globals,
};