Control: tags -1 + patch upstream fixed-upstream Hi,
The current issue is due to the removal of the Python 2 compatibility macros in version 4.5.0 of SWIG. [1] According to the SWIG authors, these macros were retained in the generated code (pyhead.swg) solely for user typemaps. All typemap using these macros are updated to call the Python 3 C API directly. . I submitted a patch to fix the problem as a merge request on Salsa [2]. Unfortunately, once the changes for the NMU'ed version 23.08-5.1 have been integrated into the repository, this commit will not merge cleanly into the dgit/sid default branch. Please note that PyArmNN support was dropped upstream (commit dd630033 [3]), as of December 13, 2024. This change is included in version 25.02 [4], so upgrading the package to the latest released upstream version (26.07) should also fix the issue. Best, Rafael [1] https://github.com/swig/swig/commit/79f7a2b7cb7ddc256eba09c8770133148025171d [2] https://salsa.debian.org/deeplearning-team/armnn/-/merge_requests/3 [3] https://github.com/ARM-software/armnn/commit/dd63003310dcb0b9d7af606a0f2161eeabf6308a [4] https://github.com/ARM-software/armnn/releases/tag/v25.02
Description: Build with swig 4.5.0 Without this patch, the package FTBFS with swig 4.5.0. This is due to the removal of the Python 2 compatibility macros in version 4.5.0. [1] According to the SWIG authors, these macros were retained in the generated code (pyhead.swg) solely for user typemaps. All typemap using these macros are updated to call the Python 3 C API directly. . [1] https://github.com/swig/swig/commit/79f7a2b7cb7ddc256eba09c8770133148025171d Author: Rafael Laboissière <[email protected]> Bug-Debian: https:/bugs.debian.org/1145848 Forwarded: not-needed Last-Update: 2026-08-30 --- nlopt-2.7.1.orig/src/swig/numpy.i +++ nlopt-2.7.1/src/swig/numpy.i @@ -77,8 +77,8 @@ if (py_obj == NULL ) return "C NULL value"; if (py_obj == Py_None ) return "Python None" ; if (PyCallable_Check(py_obj)) return "callable" ; - if (PyString_Check( py_obj)) return "string" ; - if (PyInt_Check( py_obj)) return "int" ; + if (PyBytes_Check( py_obj)) return "string" ; + if (PyLong_Check( py_obj)) return "int" ; if (PyFloat_Check( py_obj)) return "float" ; if (PyDict_Check( py_obj)) return "dict" ; if (PyList_Check( py_obj)) return "list" ; @@ -1942,7 +1942,7 @@ (PyObject* array = NULL) { npy_intp dims[1]; - if (!PyInt_Check($input)) + if (!PyLong_Check($input)) { const char* typestring = pytype_string($input); PyErr_Format(PyExc_TypeError, @@ -1950,7 +1950,7 @@ typestring); SWIG_fail; } - $2 = (DIM_TYPE) PyInt_AsLong($input); + $2 = (DIM_TYPE) PyLong_AsLong($input); dims[0] = (npy_intp) $2; array = PyArray_SimpleNew(1, dims, DATA_TYPECODE); if (!array) SWIG_fail; @@ -1970,7 +1970,7 @@ (PyObject* array = NULL) { npy_intp dims[1]; - if (!PyInt_Check($input)) + if (!PyLong_Check($input)) { const char* typestring = pytype_string($input); PyErr_Format(PyExc_TypeError, @@ -1978,7 +1978,7 @@ typestring); SWIG_fail; } - $1 = (DIM_TYPE) PyInt_AsLong($input); + $1 = (DIM_TYPE) PyLong_AsLong($input); dims[0] = (npy_intp) $1; array = PyArray_SimpleNew(1, dims, DATA_TYPECODE); if (!array) SWIG_fail;
