How do you use the debug enabled cpython on mac.i guess we need it. You build cpython from source?
this is mytest.py file import numpy as np x = np.arange(5) np.empty_like(x) i run this command gdb --args python3 runtests.py -g --python3 mytest.py i get this Reading symbols from python3... (No debugging symbols found in python3) (gdb) sh-3.2# which python3 /Library/Frameworks/Python.framework/Versions/3.7/bin/python3 sh-3.2# On Sat, Oct 24, 2020 at 2:09 AM Sebastian Berg <sebast...@sipsolutions.net> wrote: > On Sat, 2020-10-24 at 01:50 +0800, Amardeep Singh wrote: > > Hi All > > > > I am a new joiner.Using macbook. > > Can someone please guide me how to debug numpy using clion? > > I am able to build not sure about debugging the c code. > > > > ProductName: Mac OS X > > > > ProductVersion: 10.15.7 > > > > BuildVersion: 19H2 > > > > Hi, > > I have set up an bogus `CMakeLists.txt` (actually using `python > runtests.py` for compilation and running). That should allow you to > use debugging tools in editors relying on cmake normally. > > My current file is below. This is the opposite of polished or thought > out, so happy to learn of a better solution. And for example recently I > added `NULL=0` because I had issues without really digging into why and > I am sure it lists many files multiple times: > > > > cmake_minimum_required(VERSION 3.13) > > #cmake_policy(SET CMP0074 NEW) > > project(NumPy-dummy) > > > AUX_SOURCE_DIRECTORY(numpy/core/src/multiarray/ MULTIARRAY) > AUX_SOURCE_DIRECTORY(numpy/core/src/umath/ UMATH) > AUX_SOURCE_DIRECTORY(numpy/core/src/common/ COMMON) > AUX_SOURCE_DIRECTORY(numpy/core/src/npymath/ NPYMATH) > AUX_SOURCE_DIRECTORY(numpy/core/src/npysort/ NPYSORT) > > AUX_SOURCE_DIRECTORY(numpy/core/include/ NPYINCLUDE) > AUX_SOURCE_DIRECTORY(numpy/core/include/numpy/ NPYINCLUDEFULL) > > AUX_SOURCE_DIRECTORY(build/testenv/lib/python3.8/site-packages/numpy/core/include/numpy/ > INSTALLED_NUMPY) > AUX_SOURCE_DIRECTORY(build/src.linux-x86_64-3.8/numpy/core/src/multiarray/ > HELPER_FOR_C_SCR_FILES) > > set( > SOURCE_FILES > ${MULTIARRAY} > ${UMATH} > ${COMMON} > ${NPYMATH} > ${NPYSORT} > numpy/core/src/multiarray/ > build/src.linux-x86_64-3.8/numpy/core/include/ > build/src.linux-x86_64-3.8/numpy/core/include/numpy/ > > build/src.linux-x86_64-3.8/numpy/core/include/numpy/__multiarray_api.c > build/src.linux-x86_64-3.8/numpy/core/src/common/ > build/src.linux-x86_64-3.8/numpy/core/src/umath/ > build/src.linux-x86_64-3.8/numpy/core/src/multiarray/ > build/src.linux-x86_64-3.8/numpy/core/src/npymath/ > build/src.linux-x86_64-3.8/numpy/core/src/npysort/ > numpy/core/src/common/ > numpy/core/include/) > > set(CMAKE_INCLUDE_PATH SOURCE_FILES) > > add_compile_definitions(NPY_INTERNAL_BUILD) > > add_compile_definitions([=[NPY_VISIBILITY_HIDDEN=__attribute__((visibility("hidden")))]=]) > # add_compile_definitions(NPY_VISIBILITY_HIDDEN=) > > add_compile_definitions(NULL=0) > #add_compile_definitions(NPY_SIZEOF_SHORT=2) > #add_compile_definitions(NPY_SIZEOF_INT=4) > #add_compile_definitions(NPY_SIZEOF_LONG=8) > #add_compile_definitions(NPY_SIZEOF_LONGLONG=8) > #add_compile_definitions(NPY_SIZEOF_PY_INTPTR_T=8) > > > # Find default python libraries and interpreter > #find_package(PythonInterp 3 REQUIRED) > #find_package(PythonLibs 3 REQUIRED) > > #include_directories(${SOURCE_FILES} ${PYTHON_INCLUDE_DIRS}) # > PYTHON_INCLUDE_DIRS also picks up the wrong numpy files... > # The "clean" version below is manually edited with numpy removed... > # I manuall deleted sudo rm -rf /usr/include/numpy, but I do not think it > should have been there?! > #include_directories(${SOURCE_FILES} > /home/sebastian/venvs/pydbg-clean/include/python3.8d) > include_directories(${SOURCE_FILES} /usr/include/python3.8) > > add_executable(asdf > build/src.linux-x86_64-3.8/numpy/core/include/numpy/__multiarray_api.c > ${SOURCE_FILES}) > > > > > > > > > > thx > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@python.org > > https://mail.python.org/mailman/listinfo/numpy-discussion > >
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion