jit all the functions which are slow

[shreyasbapat]

🐞 Problem

Some methods are tooo slow! For which we brought einsteinpy.ijit.jit
🎯 Goal
Make einsteinpy fast!

💡 Possible solutions
Identify the slow methods, and

from einsteinpy.ijit import jit

@jit
def ..

📋 Steps to solve the problem

• Comment below about what you've started working on.
• Add, commit, push your changes
• Submit a pull request and add this in comments - Addresses #<put issue number here>
• Ask for a review in comments section of pull request
• Celebrate your contribution to this project 🎉

P.S : See #98 (comment)

[Tushar-Tyagi]

@shreyasbapat I would like to work on this issue.

[shreyasbapat]

Sure! Go ahead. Its a little tricky one though :)

[Tushar-Tyagi]

Any suggestions on how to identify the slow methords?

[ritzvik]

The only problem in jitting functions is njit does not support numpy array deceleration inside the function.
See this for more details.

If there is some solution to be found, try this on christoffels() in utils/kerr_utils.py.
Let's see what happens next.

[SuyashSalampuria]

I would like to take up this issue @ritzvik @shreyasbapat

[shreyasbapat]

@SuyashSalampuria One good first issue is enough. You can dive into more complicated issues now :)

[Starninja666]

Hey, I'm looking out for some slow methods right now, interested in solving this issue once I find them.

[shreyasbapat]

Sure. Will wait for a Pull Request

[Atheriz-46]

I would like to work on this.

[JeS24]

@Atheriz-46 Sure, but as mentioned by others, this issue is tricky due to the way numba and python work.

As this is still open, can i work on this?