Hugging Face's logo

Matt300209
/
eval_venv

Model card Files
xet
 Community
eval_venv / venv /lib /python3.10 /site-packages /Cython /Utility /UFuncs_C.c
Matt300209's picture
Matt300209
Upload folder using huggingface_hub
9823a7e verified
Raw History Blame Contribute Delete
3.2 kB
///////////////////////// UFuncsInit.proto /////////////////////////
//@proto_block: utility_code_proto_before_types
#include <numpy/arrayobject.h>
#include <numpy/ufuncobject.h>
// account for change in type of arguments to PyUFuncGenericFunction in Numpy 1.19.x
// Unfortunately we can only test against Numpy version 1.20.x since it wasn't marked
// as an API break. Therefore, I'm "solving" the issue by casting function pointer types
// on lower Numpy versions.
#if NPY_API_VERSION >= 0x0000000e // Numpy 1.20.x
#define __PYX_PYUFUNCGENERICFUNCTION_CAST(x) x
#else
#define __PYX_PYUFUNCGENERICFUNCTION_CAST(x) (PyUFuncGenericFunction)x
#endif
/////////////////////// UFuncTypeHandling.proto //////////////
#define __PYX_GET_NPY_COMPLEX_TYPE(tp) \
sizeof(tp) == sizeof(npy_cfloat) ? NPY_CFLOAT : \
sizeof(tp) == sizeof(npy_cdouble) ? NPY_CDOUBLE : \
sizeof(tp) == sizeof(npy_clongdouble) ? NPY_CLONGDOUBLE : NPY_NOTYPE
#define __PYX_GET_NPY_FLOAT_TYPE(tp) \
sizeof(tp) == sizeof(npy_float) ? NPY_FLOAT : \
sizeof(tp) == sizeof(npy_double) ? NPY_DOUBLE : \
sizeof(tp) == sizeof(npy_longdouble) ? NPY_LONGDOUBLE : NPY_NOTYPE
#define __PYX_GET_NPY_UINT_TYPE(tp) \
sizeof(tp) == 1 ? NPY_UINT8 : \
sizeof(tp) == 2 ? NPY_UINT16 : \
sizeof(tp) == 4 ? NPY_UINT32 : \
sizeof(tp) == 8 ? NPY_UINT64 : NPY_NOTYPE
#define __PYX_GET_NPY_SINT_TYPE(tp) \
sizeof(tp) == 1 ? NPY_INT8 : \
sizeof(tp) == 2 ? NPY_INT16 : \
sizeof(tp) == 4 ? NPY_INT32 : \
sizeof(tp) == 8 ? NPY_INT64 : NPY_NOTYPE
#define __PYX_GET_NPY_INT_TYPE(tp) ( \
(((tp)-1) > (tp)0) ? \
(__PYX_GET_NPY_UINT_TYPE(tp)) : \
(__PYX_GET_NPY_SINT_TYPE(tp)) )
/////////////////////// UFuncTypedef.proto ///////////////////
//@requires: UFuncTypeHandling
enum {
/*
Deduce what to tell Numpy about the extern typedef '{{type_cname}}'
*/
__Pyx_typedef_ufunc_{{type_substituted_cname}} = {{macro_name}}({{type_cname}}),
/* Validation:
If the line below is failing then you are using the extern typedef
'{{type_cname}}' as a parameter in a ufunc and Cython can't work out
how to map the type to a Numpy type.
*/
__Pyx_typedef_ufunc_validation_{{type_substituted_cname}} =
1 / (int)(__Pyx_typedef_ufunc_{{type_substituted_cname}} - NPY_NOTYPE)
};
/////////////////////// UFuncConsts.proto ////////////////////
// getter functions because we can't forward-declare arrays
static PyUFuncGenericFunction* {{ufunc_funcs_name}}(void); /* proto */
static char* {{ufunc_types_name}}(void); /* proto */
static void* {{ufunc_data_name}}[] = {NULL}; /* always null */
/////////////////////// UFuncConsts /////////////////////////
static PyUFuncGenericFunction* {{ufunc_funcs_name}}(void) {
static PyUFuncGenericFunction arr[] = {
{{for loop, cname in looper(func_cnames)}}
__PYX_PYUFUNCGENERICFUNCTION_CAST(&{{cname}}){{if not loop.last}},{{endif}}
{{endfor}}
};
return arr;
}
static char* {{ufunc_types_name}}(void) {
static char arr[] = {
{{for loop, tp in looper(type_constants)}}
{{tp}}{{if not loop.last}},{{endif}}
{{endfor}}
};
return arr;
}