the reference answer GPT ᴼ ᴾ ᴱ ᴺ ᴬ ᴵ < br / > appear this kind of circumstance may have a variety of reasons. Here are some things that can cause problems:
1. Python environment variables: Running programs in Docker containers may cause incorrect Python environment variables, resulting in C++ programs unable to call Python libraries. You can try to set the correct environment variables in the Dockerfile.
2. Python library dependencies: If Python libraries depend on other libraries, you may need to install them in a Docker container. You can try adding installation commands for these libraries to the Dockerfile.
3. Docker network configuration issues: If a C++ program needs to connect to a Python application over a network, it may be necessary to configure the correct network Settings in the Docker container.
4. File system permissions: If a C++ program needs to access files in the file system, it may need to configure correct file system permissions in the Docker container. You can try to set the correct file system permissions in Dockerfile.
In short, this kind of problem may involve multiple aspects, need to troubleshoot one by one. You are advised to check the configuration in the Dockerfile to ensure that the environment variables, dependency libraries, and network Settings are correct. At the same time, you can try to run some debugging commands in the Docker container, such as viewing the Python version and installed libraries, to help troubleshoot problems.
