linux在arm架构下调用wx库遇到段错误 #3
Description
ubuntu系统，树莓派4b，wxpython版本4.2.3，python版本3.12
由于没有为arm架构的linux设备编译的wxpython库，我自己编译了一个，但是在运行至出现以下内容后就出现了段错误
data.py:227 [INFO] : 加载完成, 共 0 个数据点, 耗时 0.820 ms 以下是我自行添加faulthandler库后python命令行输出的完整内容 main.py:4 [INFO] : 加载依赖库中...
skin.py:287 [INFO] : 加载皮肤缓存状态...
main_win.py:99 [INFO] : 初始化GUI
data.py:198 [INFO] : 从 [./data] 加载数据...
data.py:227 [INFO] : 加载完成, 共 0 个数据点, 耗时 0.820 ms
Fatal Python error: Segmentation fault
Current thread 0x0000ffff87b58720 (most recent call first):
File "/home/chenmc/Desktop/player/gui/overview.py", line 369 in init
File "/home/chenmc/Desktop/player/gui/main_win.py", line 214 in init_ui
File "/home/chenmc/Desktop/player/gui/main_win.py", line 103 in init
File "/home/chenmc/Desktop/player/main.py", line 9 in
Extension modules: wx._core, numpy._core._multiarray_umath, numpy.linalg._umath_linalg, PIL._imaging, kiwisolver._cext, wx._adv, scipy._lib._ccallback_c, scipy.special._ufuncs_cxx, scipy.special._ufuncs, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, charset_normalizer.md, scipy.special._specfun, scipy.special._comb, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg._matfuncs_expm, scipy.linalg._linalg_pythran, scipy.linalg.cython_blas, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, scipy.special._ellip_harm_2, scipy.interpolate._fitpack, scipy.interpolate._dfitpack, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize._cython_nnls, scipy._lib._uarray._uarray, scipy.linalg._decomp_interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._distance_wrap, scipy.spatial._hausdorff, scipy.spatial.transform._rotation, scipy.optimize._direct, scipy.interpolate._dierckx, scipy.interpolate._ppoly, scipy.interpolate._interpnd, scipy.interpolate._rbfinterp_pythran, scipy.interpolate._rgi_cython, scipy.interpolate._bspl, scipy.ndimage._nd_image, scipy.ndimage._rank_filter_1d, _ni_label, scipy.ndimage._ni_label, wx.svg._nanosvg (total: 85)
段错误 (核心已转储) `