السلام عليكم
حاولت كثير تحويل كود بايثون kivy الى apk يظهر الخطأ التالي مراراً وتكراراً
STDERR: # Command failed: ['/usr/bin/python3', '-m', 'pythonforandroid.toolchain', 'create', '--dist_name=myapp', '--bootstrap=sdl2', '--requirements=python3,kivy', '--arch=arm64-v8a', '--arch=armeabi-v7a', '--copy-libs', '--color=always', '--storage-dir=/content/.buildozer/android/platform/build-arm64-v8a_armeabi-v7a', '--ndk-api=21', '--ignore-setup-py', '--debug'] # ENVIRONMENT: # SHELL = '/bin/bash' # NV_LIBCUBLAS_VERSION = '12.2.5.6-1' # NVIDIA_VISIBLE_DEVICES = 'all' # COLAB_JUPYTER_TRANSPORT = 'ipc' # NV_NVML_DEV_VERSION = '12.2.140-1' # NV_CUDNN_PACKAGE_NAME = 'libcudnn8' # CGROUP_MEMORY_EVENTS = '/sys/fs/cgroup/memory.events /var/colab/cgroup/jupyter-children/memory.events' # NV_LIBNCCL_DEV_PACKAGE = 'libnccl-dev=2.19.3-1+cuda12.2' # NV_LIBNCCL_DEV_PACKAGE_VERSION = '2.19.3-1' # VM_GCE_METADATA_HOST = '169.254.169.253' # HOSTNAME = '1ad5698ccfed' # LANGUAGE = 'en_US' # TBE_RUNTIME_ADDR = '172.28.0.1:8011' # COLAB_TPU_1VM = '' # GCE_METADATA_TIMEOUT = '3' # NVIDIA_REQUIRE_CUDA = ('cuda>=12.2 brand=tesla,driver>=470,driver<471 ' 'brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 ' 'brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 ' 'brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 ' 'brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 ' 'brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 ' 'brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 ' 'brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 ' 'brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 ' 'brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 ' 'brand=titanrtx,driver>=525,driver<526') # NV_LIBCUBLAS_DEV_PACKAGE = 'libcublas-dev-12-2=12.2.5.6-1' # NV_NVTX_VERSION = '12.2.140-1' # COLAB_JUPYTER_IP = '172.28.0.12' # NV_CUDA_CUDART_DEV_VERSION = '12.2.140-1' # NV_LIBCUSPARSE_VERSION = '12.1.2.141-1' # COLAB_LANGUAGE_SERVER_PROXY_ROOT_URL = 'http://172.28.0.1:8013/' # NV_LIBNPP_VERSION = '12.2.1.4-1' # NCCL_VERSION = '2.19.3-1' # KMP_LISTEN_PORT = '6000' # TF_FORCE_GPU_ALLOW_GROWTH = 'true' # ENV = '/root/.bashrc' # PWD = '/content' # COLAB_LANGUAGE_SERVER_PROXY_REQUEST_TIMEOUT = '30s' # TBE_EPHEM_CREDS_ADDR = '172.28.0.1:8009' # TBE_CREDS_ADDR = '172.28.0.1:8008' # NV_CUDNN_PACKAGE = 'libcudnn8=8.9.6.50-1+cuda12.2' # NVIDIA_DRIVER_CAPABILITIES = 'compute,utility' # COLAB_JUPYTER_TOKEN = '' # LAST_FORCED_REBUILD = '20240305' # NV_NVPROF_DEV_PACKAGE = 'cuda-nvprof-12-2=12.2.142-1' # NV_LIBNPP_PACKAGE = 'libnpp-12-2=12.2.1.4-1' # NV_LIBNCCL_DEV_PACKAGE_NAME = 'libnccl-dev' # TCLLIBPATH = '/usr/share/tcltk/tcllib1.20' # NV_LIBCUBLAS_DEV_VERSION = '12.2.5.6-1' # COLAB_KERNEL_MANAGER_PROXY_HOST = '172.28.0.12' # NVIDIA_PRODUCT_NAME = 'CUDA' # NV_LIBCUBLAS_DEV_PACKAGE_NAME = 'libcublas-dev-12-2' # USE_AUTH_EPHEM = '1' # NV_CUDA_CUDART_VERSION = '12.2.140-1' # COLAB_WARMUP_DEFAULTS = '1' # HOME = '/root' # LANG = 'en_US.UTF-8' # COLUMNS = '100' # CUDA_VERSION = '12.2.2' # CLOUDSDK_CONFIG = '/content/.config' # NV_LIBCUBLAS_PACKAGE = 'libcublas-12-2=12.2.5.6-1' # NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE = 'cuda-nsight-compute-12-2=12.2.2-1' # COLAB_RELEASE_TAG = 'release-colab_20240319-060144_RC00' # PYDEVD_USE_FRAME_EVAL = 'NO' # KMP_TARGET_PORT = '9000' # CLICOLOR = '1' # KMP_EXTRA_ARGS = ('--logtostderr --listen_host=172.28.0.12 --target_host=172.28.0.12 ' '--tunnel_background_save_url=https://colab.research.google.com/tun/m/cc48301118ce562b961b3c22d803539adc1e0c19/m-s-3bbuezqnnu0ut ' '--tunnel_background_save_delay=10s ' '--tunnel_periodic_background_save_frequency=30m0s ' '--enable_output_coalescing=true --output_coalescing_required=true') # NV_LIBNPP_DEV_PACKAGE = 'libnpp-dev-12-2=12.2.1.4-1' # COLAB_LANGUAGE_SERVER_PROXY_LSP_DIRS = '/datalab/web/pyright/typeshed-fallback/stdlib,/usr/local/lib/python3.10/dist-packages' # NV_LIBCUBLAS_PACKAGE_NAME = 'libcublas-12-2' # COLAB_KERNEL_MANAGER_PROXY_PORT = '6000' # CLOUDSDK_PYTHON = 'python3' # NV_LIBNPP_DEV_VERSION = '12.2.1.4-1' # ENABLE_DIRECTORYPREFETCHER = '1' # NO_GCE_CHECK = 'False' # JPY_PARENT_PID = '85' # PYTHONPATH = '/env/python' # TERM = 'xterm-color' # NV_LIBCUSPARSE_DEV_VERSION = '12.1.2.141-1' # GIT_PAGER = 'cat' # LIBRARY_PATH = '/usr/local/cuda/lib64/stubs' # NV_CUDNN_VERSION = '8.9.6.50' # SHLVL = '0' # PAGER = 'cat' # COLAB_LANGUAGE_SERVER_PROXY = '/usr/colab/bin/language_service' # NV_CUDA_LIB_VERSION = '12.2.2-1' # NVARCH = 'x86_64' # NV_CUDNN_PACKAGE_DEV = 'libcudnn8-dev=8.9.6.50-1+cuda12.2' # NV_CUDA_COMPAT_PACKAGE = 'cuda-compat-12-2' # MPLBACKEND = 'module://ipykernel.pylab.backend_inline' # NV_LIBNCCL_PACKAGE = 'libnccl2=2.19.3-1+cuda12.2' # LD_LIBRARY_PATH = '/usr/local/nvidia/lib:/usr/local/nvidia/lib64' # COLAB_GPU = '' # GCS_READ_CACHE_BLOCK_SIZE_MB = '16' # NV_CUDA_NSIGHT_COMPUTE_VERSION = '12.2.2-1' # NV_NVPROF_VERSION = '12.2.142-1' # LC_ALL = 'en_US.UTF-8' # COLAB_FILE_HANDLER_ADDR = 'localhost:3453' # PATH = '/root/.buildozer/android/platform/apache-ant-1.9.4/bin:/opt/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/tools/node/bin:/tools/google-cloud-sdk/bin' # NV_LIBNCCL_PACKAGE_NAME = 'libnccl2' # COLAB_DEBUG_ADAPTER_MUX_PATH = '/usr/local/bin/dap_multiplexer' # NV_LIBNCCL_PACKAGE_VERSION = '2.19.3-1' # PYTHONWARNINGS = 'ignore:::pip._internal.cli.base_command' # DEBIAN_FRONTEND = 'noninteractive' # COLAB_BACKEND_VERSION = 'next' # OLDPWD = '/' # _ = '/usr/local/bin/buildozer' # PACKAGES_PATH = '/root/.buildozer/android/packages' # ANDROIDSDK = '/root/.buildozer/android/platform/android-sdk' # ANDROIDNDK = '/root/.buildozer/android/platform/android-ndk-r25b' # ANDROIDAPI = '31' # ANDROIDMINAPI = '21' # # Buildozer failed to execute the last command # The error might be hidden in the log above this error # Please read the full log, and search for it before # raising an issue with buildozer itself. # In case of a bug report, please add a full log with log_level = 2
