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Robust And Fast Functional IO Toolkit
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chrilves/raffiot.py
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Raffiot is small (almost) dependency-free python library providing someusual functional tools. It currently provides
- an easy-to-use
IOmonad which isstack-safe,fast, supportasynchronous,concurrent,parallel programming, has many other features. - a
Resourcedata type for easy but reliableresource management. - a
Resultdata structure to represent errors
For a demo, just type this in a terminal:
curl https://raw.githubusercontent.com/chrilves/raffiot.py/main/demos/raffiot_demo.sh| /bin/shThis demo runs 4 computations in parallel. It demonstrates how simple concurrentand parallel programing is inraffiot.
Note that this command will install raffiot in your current Python environment
Theguide is online athttps://chrilves.github.io/raffiot.py/index.html.
TheAPI is online athttps://chrilves.github.io/raffiot.py/api/index.html.
- pure python:Raffiot is written entirely in Python 3.7+.
- small: it is just a few small files.
- (almost) dependency-free: it only depends on
typing-extensions(for the@finalannotation). - crystal clear code
- stack safe: you just won't run into stack overflows anymore.
- fast: you won't notice the overhead.
- dependency injectionmade easy: make some context visible from anywhere.
- simpleasynchronousandconcurrent programming: full support of synchronous,asynchronous and concurrent programmingwith the same simple API.
- railway-oriented programming: clean and simple failure management.
- distinctionbetweenexpected and unexpected failures: some failures are partof your program's normal behaviour (errors) while others are show somethingterribly wrong happened (panics). Yes, that's heavily inspired byRust.
Python has thewith construction, butResource goes a step further.
- easy user-defined resource creation: just provide some open and closefunction.
- composability: the resource you want to create depends on another resource?Not a problem, you can compose resources the way you want. It scales.
- failures handling in resources:
Resourcehas everythingIOhas, includingits wonderful failure management.
Did I mentionRailway-Oriented Programming?Result is represent the 3 possibleresult of a computation:
Ok(value): the computation successfully computed the thisvalue.Error(error): the computation failed on some expected failureerror, probablyfrom the business domain.Panic(exception): the computation failed on some unexpected failureexception.
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