compyle | Execute a subset of Python on HPC platforms | GPU library
kandi X-RAY | compyle Summary
kandi X-RAY | compyle Summary
Execute a subset of Python on HPC platforms
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Top functions reviewed by kandi - BETA
- Generate the code block
- Get the function signature
- Append a value to the buffer
- Set the CUDA context
- Visitor for loops
- Raises an error
- Check if s is an integer
- Indents a block of code
- Generate code for the function
- Finds the nearest neighbors of a periodic kernel
- Sort a list of arrays
- R Find the neighbors of a periodic knl
- Finish the setup
- Return an astroid Function node as string
- Simulate the simulation
- Find cells in kl
- Return an astroid Call node as string
- Decorator to profile a method
- Calculate the neighbors for a given cell
- Calculate timing statistics
- Visit a call node
- Decorator for profiling a function
- Plot speedups
- Generate linspace
- Compute the comparison between two methods
- Calculate timing information
- Solve grid method
compyle Key Features
compyle Examples and Code Snippets
Community Discussions
Trending Discussions on compyle
QUESTION
I implement iterator, and i want to set comparation function to set bounds fo sequens. So in constructor i takes this arguments
...ANSWER
Answered 2020-Apr-10 at 02:55QUESTION
Is it possible to compile my project with python3 with pyqt5 with cython?
I have created a compyle.py file with these content:
...ANSWER
Answered 2019-Jun-14 at 11:11Although python tolerates using app.exec()
, cython is stricter, the solution is to use app.exec_()
:
QUESTION
So, the title pretty much says it all.
for instance let's look at the below example code:
...ANSWER
Answered 2018-Feb-18 at 05:13I can't see any way to do this without getting pretty deep; what follows is the simplest solution I've come up with.
how it worksUsing the ast module, we go through the code of the given function and find all the assignments. These are evaluated in a given namespace and this namespace is returned.
the codeCommunity Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install compyle
You can use compyle like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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