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mirror of https://github.com/exaloop/codon.git synced 2025-06-03 15:03:52 +08:00
Ibrahim Numanagić 5de233a64e
Dynamic Polymorphism (#58)
* Use Static[] for static inheritance

* Support .seq extension

* Fix #36

* Polymorphic typechecking; vtables [wip]

* v-table dispatch [wip]

* vtable routing [wip; bug]

* vtable routing [MVP]

* Fix texts

* Add union type support

* Update FAQs

* Clarify

* Add BSL license

* Add makeUnion

* Add IR UnionType

* Update union representation in LLVM

* Update README

* Update README.md

* Update README

* Update README.md

* Add benchmarks

* Add more benchmarks and README

* Add primes benchmark

* Update benchmarks

* Fix cpp

* Clean up list

* Update faq.md

* Add binary trees benchmark

* Add fannkuch benchmark

* Fix paths

* Add PyPy

* Abort on fail

* More benchmarks

* Add cpp word_count

* Update set_partition cpp

* Add nbody cpp

* Add TAQ cpp; fix word_count timing

* Update CODEOWNERS

* Update README

* Update README.md

* Update CODEOWNERS

* Fix bench script

* Update binary_trees.cpp

* Update taq.cpp

* Fix primes benchmark

* Add mandelbrot benchmark

* Fix OpenMP init

* Add Module::unsafeGetUnionType

* UnionType [wip] [skip ci]

* Integrate IR unions and Union

* UnionType refactor [skip ci]

* Update README.md

* Update docs

* UnionType [wip] [skip ci]

* UnionType and automatic unions

* Add Slack

* Update faq.md

* Refactor types

* New error reporting [wip]

* New error reporting [wip]

* peglib updates [wip] [skip_ci]

* Fix parsing issues

* Fix parsing issues

* Fix error reporting issues

* Make sure random module matches Python

* Update releases.md

* Fix tests

* Fix #59

* Fix #57

* Fix #50

* Fix #49

* Fix #26; Fix #51; Fix #47; Fix #49

* Fix collection extension methods

* Fix #62

* Handle *args/**kwargs with Callable[]; Fix #43

* Fix #43

* Fix Ptr.__sub__; Fix polymorphism issues

* Add typeinfo

* clang-format

* Upgrade fmtlib to v9; Use CPM for fmtlib; format spec support; __format__ support

* Use CPM for semver and toml++

* Remove extension check

* Revamp str methods

* Update str.zfill

* Fix thunk crashes [wip] [skip_ci]

* Fix str.__reversed__

* Fix count_with_max

* Fix vtable memory allocation issues

* Add poly AST tests

* Use PDQsort when stability does not matter

* Fix dotted imports; Fix  issues

* Fix kwargs passing to Python

* Fix #61

* Fix #37

* Add isinstance support for unions; Union methods return Union type if different

* clang-format

* Nicely format error tracebacks

* Fix build issues; clang-format

* Fix OpenMP init

* Fix OpenMP init

* Update README.md

* Fix tests

* Update license [skip ci]

* Update license [ci skip]

* Add copyright header to all source files

* Fix super(); Fix error recovery in ClassStmt

* Clean up whitespace [ci skip]

* Use Python 3.9 on CI

* Print info in random test

* Fix single unions

* Update random_test.codon

* Fix polymorhic thunk instantiation

* Fix random test

* Add operator.attrgetter and operator.methodcaller

* Add code documentation

* Update documentation

* Update README.md

* Fix tests

* Fix random init

Co-authored-by: A. R. Shajii <ars@ars.me>
2022-12-04 19:45:21 -05:00
..
2022-12-04 19:45:21 -05:00
2022-07-26 16:08:42 -04:00
2022-12-04 19:45:21 -05:00
2022-12-04 19:45:21 -05:00
2022-12-04 19:45:21 -05:00
2022-07-26 16:08:42 -04:00
2022-07-26 16:08:42 -04:00
2022-09-15 15:40:00 -04:00

Codon Pipeline

Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 100x or more, on a single thread. Codon supports native multithreading which can lead to speedups many times higher still.

The Codon framework is fully modular and extensible, allowing for the seamless integration of new modules, compiler optimizations, domain-specific languages and so on. We actively develop Codon extensions for a number of domains such as bioinformatics and quantitative finance.

Codon at a glance

A simple Python program fib.py...

from time import time

def fib(n):
    return n if n < 2 else fib(n - 1) + fib(n - 2)

t0 = time()
ans = fib(40)
t1 = time()
print(f'Computed fib(40) = {ans} in {t1 - t0} seconds.')

... run through Python and Codon:

$ python3 fib.py
Computed fib(40) = 102334155 in 17.979357957839966 seconds.
$ codon run -release fib.py
Computed fib(40) = 102334155 in 0.275645 seconds.