illusion | Illusion - Fabry-Perot Simulator

 by   b1quint Python Version: Current License: GPL-3.0

kandi X-RAY | illusion Summary

kandi X-RAY | illusion Summary

illusion is a Python library. illusion has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Illusion Fabry-Perot Data-Cube Synthesizer Copyright (C) 2017 Bruno Quint. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program in a file callse LICENSE. Please, read it for more informatioin about copy and distribution. If you don't have it, see This package is a data-synthesizer that simulates data from Fabry-Perot (FP). The Illusion is part of the BTFI software's system called Butterfly, headed by Fabricio Ferrari. New data-reduction packages are being developed by the BTFI Software Team and these new packages need to be tested somehow. The ideal would be to have real data, but since it would be a real waste of time if we wait until the BTFI Instrument is ready and working to get this data, one solution is to create "fake" data. The name "Illusion" came from the idea that we are not creating real images. So, if it is not a real image, it is an Illusion. And this packaged create illusions of FP data. This package not only contains methods for populating a whole data-cube with FP information but also methods containing several simple operations as input and output, visualization, data manipulation and a bit of data reduction.
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            kandi-support Support

              illusion has a low active ecosystem.
              It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of illusion is current.

            kandi-Quality Quality

              illusion has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              illusion is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              illusion releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

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            illusion Key Features

            No Key Features are available at this moment for illusion.

            illusion Examples and Code Snippets

            No Code Snippets are available at this moment for illusion.

            Community Discussions

            No Community Discussions are available at this moment for illusion.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install illusion

            You can download it from GitHub.
            You can use illusion 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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            CLONE
          • HTTPS

            https://github.com/b1quint/illusion.git

          • CLI

            gh repo clone b1quint/illusion

          • sshUrl

            git@github.com:b1quint/illusion.git

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