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Nuitka-Options:WARNING: You did not specify to follow or include anything but main program. Check options and make sure that is intended.#

According to the information you provided, you encountered a warning during Nuitka compilation indicating that you did not specify to follow or include anything other than the main program. This usually means that Nuitka may not be able to properly handle other modules or packages imported in your program. Here are some suggestions to resolve this issue:

1. Use the --follow-imports option#

If you want Nuitka to automatically handle all imported modules and packages, you can use the --follow-imports option. This option tells Nuitka to track all imported modules, ensuring they are included in the compiled program. This is the default behavior in standalone mode, but needs to be explicitly specified in other modes.

nuitka --follow-imports your_script.py

2. Use the --include-package and --include-module options#

If you know which specific packages or modules need to be included, you can explicitly specify them using the --include-package and --include-module options. This ensures that these modules and packages are correctly compiled and included in the final program.

• Include an entire package:

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  nuitka --include-package=some_package your_script.py
  

• Include a single module:

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  nuitka --include-module=some_package.some_module your_script.py
  

3. Use the --follow-import-to and --nofollow-import-to options#

If you only want to track specific modules or packages, you can use the --follow-import-to option. Conversely, if you want to exclude certain modules or packages, you can use the --nofollow-import-to option.

• Track specific modules or packages:

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  nuitka --follow-import-to=some_package your_script.py
  

• Exclude specific modules or packages:

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  nuitka --nofollow-import-to=some_package your_script.py
  

4. Use the --standalone option#

If your program needs to run independently, it is recommended to use the --standalone option. This option automatically handles all imported modules and packages, ensuring that the generated program can run independently without external dependencies.

nuitka --standalone your_script.py

5. Check the Nuitka documentation#

If you need more detailed information, you can refer to the official Nuitka documentation to learn about all available compilation options and their specific uses.

Nuitka-Scons:WARNING: You are not using ccache, re-compilation of identical code will be slower than necessary. Use your OS package manager to install it.#

Based on your needs, here are detailed steps for installing ccache on Arch Linux and resolving the ccache warning during Nuitka compilation:

1. Install ccache#

On Arch Linux, you can use the pacman package manager to install ccache. Open a terminal and run the following command:

sudo pacman -S ccache

2. Configure environment variables#

After installation, you need to configure the environment variables so that the system can correctly use ccache. Edit the ~/.bashrc or ~/.zshrc file (depending on the shell you are using) and add the following line:

export PATH="/usr/lib/ccache:$PATH"

After saving the file, run the following command to make the configuration effective:

source ~/.bashrc

3. Verify that ccache is installed successfully#

You can verify whether ccache has been successfully installed by running the following command:

ccache --version

If the installation is successful, you will see the version information of ccache.

4. Use ccache with Nuitka#

(If you encounter an error using --enable-ccache, do not use it, as this option may have been modified.)
To ensure Nuitka uses ccache for compilation, you can explicitly specify ccache in the compilation command. For example:

nuitka --standalone --enable-ccache your_script.py

If you have configured the environment variables, Nuitka will typically detect and use ccache automatically. If you still see the warning, you can try explicitly specifying the path to ccache:

nuitka --standalone --ccache-dir=/usr/lib/ccache your_script.py

5. Adjust ccache cache size#

You can adjust the cache size of ccache using the following command, for example, setting it to 50G:

ccache -M 50G

6. Check if ccache is effective#

After compilation, you can check the statistics of ccache using the following command to ensure it is working:

ccache -s

This will display the cache hit rate and other statistics of ccache.

7. Other considerations#

• Memory and disk usage: Using ccache will increase memory and disk usage; if your system has limited memory, it may lead to performance issues.
• Initial compilation: The first time you use ccache, the compilation time may not show significant changes, but subsequent compilations will be noticeably faster.

By following these steps, you should be able to successfully install and configure ccache, ensuring that Nuitka uses ccache during compilation to improve compilation speed.

nuitka: error: ambiguous option: --follow (--follow-imports, --follow-import-to, --follow-stdlib?)#

This error message indicates that you provided an ambiguous option --follow when using Nuitka, and Nuitka has multiple similar options, making it unable to determine which specific one you want to use. Specifically, --follow may be misinterpreted as one of the following three options:

1. --follow-imports: Automatically track all imported modules and packages.
2. --follow-import-to: Track specific modules or packages.
3. --follow-stdlib: Track modules in the standard library.

Solution#

You need to explicitly specify the option you want to use. Here are some common usage examples:

1. Use --follow-imports#

If you want Nuitka to automatically track all imported modules and packages, you can use the --follow-imports option:

nuitka --follow-imports your_script.py

2. Use --follow-import-to#

If you only want to track specific modules or packages, you can use the --follow-import-to option and specify the specific module or package name:

nuitka --follow-import-to=some_package your_script.py

3. Use --follow-stdlib#

If you want Nuitka to track modules in the standard library, you can use the --follow-stdlib option:

nuitka --follow-stdlib your_script.py

Example#

Suppose you have a Python script your_script.py, and you want Nuitka to automatically track all imported modules and packages, you can use the following command:

nuitka --follow-imports your_script.py

If you only want to track a specific module or package, such as some_package, you can use:

nuitka --follow-import-to=some_package your_script.py

If you want Nuitka to track modules in the standard library, you can use:

nuitka --follow-stdlib your_script.py

Summary#

Make sure to explicitly specify the option you want to use to avoid using the ambiguous --follow. This will prevent Nuitka from being unable to determine the specific option.