Jump to content

Python being Slow and CPU Intensive? Fix is here!


Zylla

Recommended Posts

On our devices it is possible to run Python code, but even a simple "Hello World" Python script can take up 6-8 seconds to run, at worst!
Investigations seems to show that all Python modules are kept in .py source code, and is compiled in memory on each run. (To save space i guess)
Due to having alot of modules and that we're using small embedded devices, this causes delays in even the simplest of Python-related code!

Example:
Alot of the python scripts on my Mana Toolkit is slow, and causes the CPU-usage to sky-rocket.

So what can we do do 'fix' this?
Open a SSH terminal to your Pineapple and issue this command:

python -m compileall

This causes python to pre-compile all your python modules to .pyc-files. Which is located at: /usr/lib/python2.77

This fix is relative straight-forward on the TETRA.
On the NANO we're better of moving that directory to the SD-card and issue a sym-link from that directory to: /usr/lib/python2.7 before we run the commmand. (Saves internal storage)
For example like this:

mv /usr/lib/python2.7 /sd/usr/lib/python2.7
ln -s /sd/usr/lib/python2.7 /usr/lib/python2.7
python -m compileall

 

You can also pre-compile the python files within the directory you're inside by using the same command, but adding a dot at the end, like this:

python -m compileall .

 

This was a huge improvement for me. Hope it can be of usage for you guys :)

  • Like 3
  • Upvote 1
Link to comment
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

  • Recently Browsing   0 members

    • No registered users viewing this page.
×
×
  • Create New...