43 lines
1.5 KiB
C
43 lines
1.5 KiB
C
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///////////////////////// UFuncsInit.proto /////////////////////////
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//@proto_block: utility_code_proto_before_types
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#include <numpy/arrayobject.h>
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#include <numpy/ufuncobject.h>
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// account for change in type of arguments to PyUFuncGenericFunction in Numpy 1.19.x
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// Unfortunately we can only test against Numpy version 1.20.x since it wasn't marked
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// as an API break. Therefore, I'm "solving" the issue by casting function pointer types
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// on lower Numpy versions.
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#if NPY_API_VERSION >= 0x0000000e // Numpy 1.20.x
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#define __PYX_PYUFUNCGENERICFUNCTION_CAST(x) x
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#else
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#define __PYX_PYUFUNCGENERICFUNCTION_CAST(x) (PyUFuncGenericFunction)x
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#endif
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/////////////////////// UFuncConsts.proto ////////////////////
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// getter functions because we can't forward-declare arrays
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static PyUFuncGenericFunction* {{ufunc_funcs_name}}(void); /* proto */
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static char* {{ufunc_types_name}}(void); /* proto */
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static void* {{ufunc_data_name}}[] = {NULL}; /* always null */
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/////////////////////// UFuncConsts /////////////////////////
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static PyUFuncGenericFunction* {{ufunc_funcs_name}}(void) {
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static PyUFuncGenericFunction arr[] = {
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{{for loop, cname in looper(func_cnames)}}
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__PYX_PYUFUNCGENERICFUNCTION_CAST(&{{cname}}){{if not loop.last}},{{endif}}
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{{endfor}}
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};
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return arr;
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}
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static char* {{ufunc_types_name}}(void) {
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static char arr[] = {
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{{for loop, tp in looper(type_constants)}}
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{{tp}}{{if not loop.last}},{{endif}}
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{{endfor}}
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};
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return arr;
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}
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