YACS | Yet Another Centralized Scheduler is a scheduling | Job Scheduling library

by Gituser143 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | YACS Summary

YACS is a Python library typically used in Data Processing, Job Scheduling applications. YACS has no bugs, it has no vulnerabilities and it has low support. However YACS build file is not available. You can download it from GitHub.

Yet Another Centralized Scheduler (YACS) is a scheduling framework that can schedule tasks using 3 different scheduling algorithms – random, round robin and least loaded. The framework has one master which manages the resources of the rest of the cluster which consists of worker machines. Each worker machine has a worker process and a fixed number of slots that execute tasks and send updates about the completion of the task to the master. The framework requires a configuration file which consists of the details of each of the worker machines that is required to form a connection from the master to the worker and also schedule tasks. For this project, all the processes, i.e., master and worker processes run on the same machine. This behaves as a simulation of the working of YACS. It can also be used in a real distributed environment by providing each worker machine’s IP address in the configuration file.

Support

Quality

Security

License

Reuse

Support

YACS has a low active ecosystem.

It has 1 star(s) with 2 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

YACS has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of YACS is current.

Quality

YACS has 0 bugs and 0 code smells.

Security

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

YACS code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

YACS does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

YACS has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

A worker function that handles the worker threads .
Listen for incoming requests .
Perform a round - robin scheduling .
Sends the least loaded tasks to the worker .
Select a random worker .
Compute the groupby mean median and task .
Plot a bar chart .
Listen for tasks from the master .
Schedules a job .
Compute statistics from a list of lines .

Get all kandi verified functions for this library.

YACS Key Features

No Key Features are available at this moment for YACS.

YACS Examples and Code Snippets

No Code Snippets are available at this moment for YACS.

Community Discussions

Trending Discussions on YACS

Cython_bbox and lap installation error, #include "Python.h" not found

AttributeError: could not import keras and segmentation models

RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. GPU not detected by pytorch

QUESTION

Cython_bbox and lap installation error, #include "Python.h" not found

Asked 2021-Dec-30 at 07:08

I have encountered these strange errors upon trying to install these 2 libraries (Cython_bbox and lap), which are part of other libraries that I need when running pip install -r requirements.txt, which contains the following

...

ANSWER

Answered 2021-Dec-29 at 11:32

Try this :

Source https://stackoverflow.com/questions/70516037

QUESTION

AttributeError: could not import keras and segmentation models

Asked 2021-Jul-02 at 05:33

I am trying to import segmentation models and keras and i am getting an attribute error, i am using tensor flow version 2.5.0

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ANSWER

Answered 2021-Jul-02 at 05:33

I have solved my issue by adding tf.compat.v1.enable_eager_execution() to import and it works fine

Source https://stackoverflow.com/questions/68209795

QUESTION

RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. GPU not detected by pytorch

Asked 2021-Mar-21 at 16:24

Having trouble with CUDA + Pytorch this is the error. I reinstalled CUDA and cudnn multiple times.

Conda env is detecting GPU but its giving errors with pytorch and certain cuda libraries. I tried with Cuda 10.1 and 10.0, and cudnn version 8 and 7.6.5, Added cuda to path and everything.

However anaconda is showing cuda tool kit 9.0 is installed, whilst I clearly installed 10.0, so I am not entirely sure what's the deal with that.

...

ANSWER

Answered 2021-Mar-20 at 10:44

From the list of libraries, it looks like you've installed CPU only version of the Pytorch.

Source https://stackoverflow.com/questions/66711799

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

Vulnerabilities

No vulnerabilities reported

Install YACS

You can download it from GitHub.
You can use YACS 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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