charm4py | Parallel Programming with Python and Charm++ | Architecture library

by UIUC-PPL Python Version: 1.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | charm4py Summary

charm4py is a Python library typically used in Architecture applications. charm4py has no vulnerabilities, it has build file available and it has low support. However charm4py has 6 bugs and it has a Non-SPDX License. You can install using 'pip install charm4py' or download it from GitHub, PyPI.

Parallel Programming with Python and Charm++

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Quality

Security

License

Reuse

Support

charm4py has a low active ecosystem.

It has 277 star(s) with 19 fork(s). There are 16 watchers for this library.

It had no major release in the last 12 months.

There are 22 open issues and 18 have been closed. On average issues are closed in 118 days. There are 13 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of charm4py is 1.0

Quality

charm4py has 6 bugs (3 blocker, 0 critical, 3 major, 0 minor) and 856 code smells.

Security

charm4py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

charm4py code analysis shows 0 unresolved vulnerabilities.

There are 22 security hotspots that need review.

License

charm4py has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

charm4py releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

charm4py saves you 4106 person hours of effort in developing the same functionality from scratch.

It has 8723 lines of code, 868 functions and 105 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed charm4py and discovered the below as its top functions. This is intended to give you an instant insight into charm4py implemented functionality, and help decide if they suit your requirements.

Build libcharm files
Populate conversion tables .
Start the charm .
Create and return a callback message .
Run code .
Run Charm4py .
work out the grid
Gets the locations of the elements in this element .
Generates proxy entry methods .
Generate a proxy entry method .

Get all kandi verified functions for this library.

charm4py Key Features

No Key Features are available at this moment for charm4py.

charm4py Examples and Code Snippets

No Code Snippets are available at this moment for charm4py.

Community Discussions

Trending Discussions on charm4py

Issues with parallelizing processing of numpy array

charm.pool.map & tqdm: obtain a progressbar

QUESTION

Issues with parallelizing processing of numpy array

Asked 2020-Nov-03 at 05:02

I am having an issue with my attempt in speeding up the computation of my program. In the serialized python version of my code, I'm computing the values of a function f(x), which returns a float, for sliding windows of the NumPy array as can be seen below:

...

ANSWER

Answered 2020-Nov-03 at 04:52

Here's an example based off of your code snippet that uses Ray to parallelize the array computations.

Note that the best way to do this will depend on what your function f looks like.

Source https://stackoverflow.com/questions/64655998

QUESTION

charm.pool.map & tqdm: obtain a progressbar

Asked 2020-Sep-06 at 11:49

I'm using the wanderfull library charm4py to parralelise tasks on a cluster of several machines. I'm just using the function charm.pool.map, which is documented there.

Using the classical list(tqdm.tqdm(char.pool.map(...),total=...)) did not work: the progressbar was printed but only after the last iteration.

How should i write this ? is it even possible ?

Edit: cross-posted on a charm4py issue there : https://github.com/UIUC-PPL/charm4py/issues/178

...

ANSWER

Answered 2020-Sep-06 at 11:47

Following @lrnv suggestion about multi_future, the following code should correctly display the progress of a pool of workers.

Source https://stackoverflow.com/questions/63671000

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install charm4py

You can install using 'pip install charm4py' or download it from GitHub, PyPI.
You can use charm4py 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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