SugarScape | Ml Mesa Example and Development Code
kandi X-RAY | SugarScape Summary
kandi X-RAY | SugarScape Summary
SugarScape is a Python library. SugarScape has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However SugarScape build file is not available. You can download it from GitHub.
Test model for Multi-Level Mesa using Sugarscape sugar and spice trade variation (Growing Artificial Societies by Rob Axtell and Joshua Epstein, 1996). This repository has three categories of Sugarscape. Results were not included do to size but the code and code used to analyze the results was included for replication purposes.
Test model for Multi-Level Mesa using Sugarscape sugar and spice trade variation (Growing Artificial Societies by Rob Axtell and Joshua Epstein, 1996). This repository has three categories of Sugarscape. Results were not included do to size but the code and code used to analyze the results was included for replication purposes.
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Quality
Security
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Support
SugarScape has a low active ecosystem.
It has 6 star(s) with 2 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
SugarScape has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of SugarScape is current.
Quality
SugarScape has no bugs reported.
Security
SugarScape has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
SugarScape is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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SugarScape releases are not available. You will need to build from source code and install.
SugarScape has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed SugarScape and discovered the below as its top functions. This is intended to give you an instant insight into SugarScape implemented functionality, and help decide if they suit your requirements.
- Decorator to collect phase information
- r Compute the maximum weighting of a graph .
- Calculate least squares .
- Load data from a text file .
- Optimizes edit paths .
- Compute the LOBPS problem .
- Construct a networkx graph from a graph .
- Analyze group .
- r Solve an IVP .
- r Optimize a problem .
Get all kandi verified functions for this library.
SugarScape Key Features
No Key Features are available at this moment for SugarScape.
SugarScape Examples and Code Snippets
No Code Snippets are available at this moment for SugarScape.
Community Discussions
Trending Discussions on SugarScape
QUESTION
How to get the distance between nodes with Mesa and Networkx on Python?
Asked 2020-Apr-11 at 14:46
I am following this example called Virus on Network from the Mesa library which creates network graphs using Networkx.
Here is its function screening a node's neighbors to try to infect them with a virus.
...ANSWER
Answered 2020-Apr-11 at 14:46Here is some code to add edge weights or get random node positions (maybe you want to scale them).
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SugarScape
You can download it from GitHub.
You can use SugarScape 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.
You can use SugarScape 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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