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///////////////////////// UFuncsInit.proto ///////////////////////// | |
//@proto_block: utility_code_proto_before_types | |
// 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. | |
/////////////////////// 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; | |
} | |