keyboard VS more-itertools

check out the docs here https://github.com/boppreh/keyboard

You can install the keyboard library, then do keyboard.wait('enter').

Name: keyboard Version: 0.13.5 Summary: Hook and simulate keyboard events on Windows and Linux Home-page: https://github.com/boppreh/keyboard Author: BoppreH Author-email: [email protected] License: MIT Location: /home/me/.local/lib/python3.10/site-packages Requires: Required-by:

LOL, here you go

I'm trying to create an autoclicker using the pyautogui library. I want to create a fail safe for the user to break out of the auto clicker in case the cursor is not able to be moved and the user can't stop the program. I'm using the keyboard library to implement a hotkey to stop the auto clicker from running, but I'm not getting the intended behavior. The click() function is only executed once and the program quits. I'm on a Arch Linux, and gave the program root privileges as mentioned in the readme of keyboard

As an example here is how the keyboard module does it: https://github.com/boppreh/keyboard/blob/master/keyboard/_winmouse.py

If you needed a cross-platform solution today, I would recommend looking into Python and some of its related ecosystem, such as the keyboard package, which provides cross-platform hotkey support and keyboard automation, including 'word listeners' and its companion module mouse.

And according to this issue, there's no support for key suppression in the Linux version of keyboard.

I'd bet that reading through more-itertools would be a good exercise.

check out the code examples in itertools and the source code of more-itertools if you want to see cases where next and iter get used by themselves.

from itertools import islice # Copied from the more-itertools library (MIT license) # https://github.com/more-itertools/more-itertools def batched(iterable, n): "Batch data into lists of length n. The last batch may be shorter." # batched('ABCDEFG', 3) --> ABC DEF G if n < 1: raise ValueError('n must be at least one') it = iter(iterable) while (batch := list(islice(it, n))): yield batch

more_itertools.chunked

I've had a tab open to more-itertools on github for weeks; maybe I should go read it...

The popular more-itertools library implements (among many others) a chunked method which yields lists of size n from an iterator. There is also the ichunked method which yields iterators of size n instead of lists.

There's a function called consecutive_groups in the more-itertools library that will do this for you efficiently.

Here are some that might answer your question: - algorithms is a library which contains many of the most useful algorithms for sorting, searching, working with trees, math algorithms like factorials, prime finders and many more - data classes to save you the trouble of writing everytime special methods in a class like init, repr, set, get - box allows the use of dot on dictionaries to access the keys - more-itertools for more routines to operate on iterables than those itertools provide.