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HOPE: A Python Just-In-Time compiler for astrophysical computations

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Hello! As I understand it, the project was abandoned about 6 years ago. Won't it be difficult for you to republish it under a different name in pypi? I am...

# Issue Type [x] Bug (Typo) # Steps to Replicate and Expected Behaviour - Examine hope/_transformer.py and observe `unneccesary`, however expect to see `unnecessary`. - Examine hope/jit.py and observe `simpify`,...

The following code works in Python 2.7 on in macOS 10.13: ```n=4096 y=np.ones([n,n]) x=2*np.ones([n,n]) z=1 out=np.ones_like(x) @hope.jit def hope_exp(X,Y,Z,A): A[:] = hope.exp((X**2+Y**2)/Z) hope_exp(x,y,z,out) ``` but in Python 3.6.1 it returns...

Hi Joel, this also includes changes to use gitlab-ci as I was assuming that hope would be hosted on cosmo-gitlab.phys.ethz.ch where we decided to use gitlab-ci. I can create a...

Hi Joel, did not find an email address of you so I write here, maybe we can follow up per email. I'm working on the documentation and the benchmarks folder...

Hi, I would like to contribute a variant on ln_python benchmark. Instead of using numpy slice, we directly access to array elements inside a loop. This is of course terribly...

enhancement

no numpy in conda with python33. trying to skip 33 for the moment

It is convenient to have data packed into structures. For example, if a calculation requires a large number of pieces of information, it is preferable to have the following (...

I installed hope from the git and run the following: ``` import numpy as np import hope @hope.jit def pdf(density, dims, center, w2D, r50, b, a): for x in range(dims[0]):...