Yahya Shraheli

شكرا لك سأحاول تطبيق الحلول

اسعد الله صباحكم تم عمل تطبيق وعند تشغيله على الهاتف او المحاكي تظهر صورة الخلفية بعدها تأتي شاشة سوداء وعند النقر مكان تواجد الأزرار يعمل التطبيق حيث ان الازرار غير مرئية من الشاشة السوداء لكني اعرف اماكن تواجد الأزرار وعند الضغط يعمل التطبيق .. المشكلة في ظهور الشاشة السوداء على الهاتف فما هو الحل

شكرا لك سوف اجربها

شكراً لك سوف اجرب المكتبات التي ذكرتها شكرا لك سوف اجرب ما ذكرت شكرا جزيلاً

السلام عليكم .. عندي كود جاهز بلغتين عربي وانجليزي عند تحويله الى apk يفتح ويغلق بعد عرض صورة الشعار بسبب اللغة العربية ومكتبة python-bidi لا تدعم ARM وعندما يكون الكود فقط باللغة الانجليزية يعمل بكفاءة .. هل يوجد نسخة python-bidi تدعم ARM أو هناك حل لهذه المشكلة لأني اريد التطبيق ان يكون باللغتين .. وشكرا لكم

تمام اجرب وعطيك خبر

طبقت جميع الخطوات دائماً نفس الخطأ

نعم قمت بجميع هذه الخطوات بواسطة جوجل كولاب وبواسطة ubuntu تعطي نفس الأخطاء

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