Pyjiting is a experimental Python-JIT compiler, which is the product of my undergraduate thesis. The goal is to implement a light-weight miniature general-purpose Python JIT compiler.

1. Use llvmlite as Backend, support Python 3.9 and up, fix some errors in the numpile tutorial.
2. Support calls the Python function(code in .py, need manually register, just add @reg) from the JITed function(llvm binary) based on TypeHints. (See example_find_primes.py)
3. Implement basic functions, such as Compare operators, Mathematical operators, etc.
4. Implement if expressions.
5. Implement for expressions, and allow break.
6. Implement while expressions.
7. Implement recursion.

You can find the source code of these test samples in the root directory.

My test environment:
CPU: i7-8700K@4.8Ghz
Memory: 32GB DDR4 3200Mhz
OS: Windows 10 21H2 64bit
Python 3.9.9 64bit
LLVMLite 0.37.0

fib_jit(40) = 102334155 (cost time: 169.3246364593506 ms)
fib_nojit(40) = 102334155 (cost time: 26464.3042087554929 ms)
rate: 156.29328821921743

find_primes_jit(100000) = 0 (cost time: 3358.8650226593018 ms)
find_primes_nojit(100000) = 0 (cost time: 37986.81926727295 ms)
rate: 11.309421191685097

is_prime_jit(169941229) = True (cost time: 958.0211639404297 ms)
is_prime_nojit(169941229) = True (cost time: 13279.908418655396 ms)
rate: 13.861811114938112

loop_jit(100000000) = 200000000 (cost time: 0.0 ms)
loop_nojit(100000000) = 200000000 (cost time: 7256.179332733154 ms)
rate: Infinite

test_while_jit(100000000) = 100000000 (cost time: 0.0 ms)
test_while_nojit(100000000) = 100000000 (cost time: 7198.246292114258 ms)
rate: Infinite

Inspired by numpile tutorial and continue to work on this basis.

I am deeply grateful to professor Mr Takeshi Ogasawara gave me many inspirations and appropriate advice.