Automatic code conversion from python to cython
Project description
markarth
markarth is a library to automatically cythonize python code.
It can receive in input python code, evaluate the primitive types that variables are going to possess, and then add codelines for pure python cython mode.
Example
This is an example of python code using markarth to take a code section as a string and returns a string with cython annotations.
code = '''
def stuff(a : int, b : int, c : float = 0.4, d = None) -> int:
sum = 0
m = 11
onono = 17.4
for i in range(4):
p = 7
h = float(64) * p
sum += i
sum = 5 * 18
return float(sum)
'''
cycode = convert_code(code)
print(cycode)
The resulting modified code will be the following, with cython.declare codelines:
import cython
def stuff(a : int, b : int, c : float = 0.4, d = None) -> int:
h = cython.declare(cython.float)
p = cython.declare(cython.int)
i = cython.declare(cython.int)
onono = cython.declare(cython.float)
m = cython.declare(cython.int)
sum = cython.declare(cython.int)
sum = 0
m = 11
onono = 17.4
for i in range(4):
p = 7
h = float(64) * p
sum += i
sum = 5 * 18
return float(sum)
Installation
At the moment there is no PyPI package, so if someone really (really?) wants to run such thing, the repo should be cloned, to then run the setup.py script in the cloning folder
git clone https://github.com/nucccc/markarth
cd markarth
pip install .
Internal functioning
It makes heavy usage of the ast module in order to parse python code, while leveraging type annotations to infer variable types, thus adding some declarations that with python would speed the code up.
Possible improvements
Several possible improvements can be done (apart from testing and discovering bugs, obviously). Among them:
- Store and extrapolate types of containers (lists, dicts, sets, ecc.)
- Identify numpy array and type them as memory views
- Detect
:=walrus operators - Possibility of selecting between pure python mode conversion and old style pure cython with
cdef VARNAME intcodelines
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