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    "info": {
        "author": "David Auber and the Tulip development team",
        "author_email": "tulipdev@labri.fr",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU Lesser General Public License v2 or later (LGPLv2+)",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Visualization"
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        "description": "Module description\r\n==================\r\n\r\nGraphs play an important role in many research areas, such as biology, microelectronics, social\r\nsciences, data mining, and computer science. Tulip (http://tulip.labri.fr) [1]_ [2]_ is an\r\nInformation Visualization framework dedicated to the analysis and visualization of such relational\r\ndata. Written in C++ the framework enables the development of algorithms, visual encodings,\r\ninteraction techniques, data models, and domain-specific visualizations.\r\n\r\nThe Tulip GUI library is available to the Python community through the Tulip-Python\r\nbindings [3]_ allowing to create and manipulate Tulip views (typically Node Link diagrams)\r\ntrough the tulipgui module. It has to be used with the `tulip <https://pypi.python.org/pypi/tulip-python>`_ module\r\ndedicated to the creation, storage and manipulation of the graphs to visualize.\r\nThe bindings have been developed using the `SIP <https://pypi.python.org/pypi/SIP>`_\r\ntool [4]_ from Riverbank Computed Limited, allowing to easily create quality Python bindings for any C/C++ library.\r\n\r\nThe main features provided by the bindings are the following ones:\r\n\r\n    * creation of interactive Tulip visualizations (Adjacency Matrix, Geographic, Histogram,\r\n      Node Link Diagram, Parallel Coordinates, Pixel Oriented, Scatter Plot, Self Organizing Map, Spreadsheet)\r\n    * the ability to change the data source on opened visualizations\r\n    * the possibilty to modify the rendering parameters for node link diagram visualizations\r\n    * the ability to save visualization snapshots to image files on disk\r\n\r\nRelease notes\r\n==============\r\n\r\nSome information regarding the Tulip-Python releases pushed on the Python Packaging Index:\r\n\r\n    * **5.1.0**: based on Tulip 5.1.0 released on 07/11/2017\r\n\r\n    * **5.0.0**: based on Tulip 5.0.0 released on 27/06/2017\r\n\r\n    * **4.10.0**: based on Tulip 4.10.0 released on 08/12/2016\r\n\r\n    * **4.9.0** : based on Tulip 4.9.0 released on 08/07/2016\r\n\r\n    * **4.8.1** : based on Tulip 4.8.1 released on 16/02/2016\r\n\r\n    * **4.8.0** : Initial release based on Tulip 4.8\r\n\r\nExample\r\n========\r\n\r\nThe following script imports the tree structure of the file system directory of the Python\r\nstandard library, applies colors to nodes according to degrees, computes a tree layout and quadratic\r\nB\u00e9zier shapes for edges. The imported graph and its visual encoding are then visualized\r\nby creating an interactive Node Link Diagram view.\r\nA window containing an OpenGL visualization of the graph will be created and displayed.\r\n\r\n.. code:: python\r\n\r\n    from tulip import tlp\r\n    from tulipgui import tlpgui\r\n\r\n    import os\r\n\r\n    # get the root directory of the Python Standard Libraries\r\n    pythonStdLibPath = os.path.dirname(os.__file__)\r\n\r\n    # call the 'File System Directory' import plugin from Tulip\r\n    # importing the tree structure of a file system\r\n    params = tlp.getDefaultPluginParameters('File System Directory')\r\n    params['directory color'] = tlp.Color.Blue\r\n    params['other color'] = tlp.Color.Red\r\n    params['directory'] = pythonStdLibPath\r\n    graph = tlp.importGraph('File System Directory', params)\r\n\r\n    # compute an anonymous graph double property that will store node degrees\r\n    degree = tlp.DoubleProperty(graph)\r\n    degreeParams = tlp.getDefaultPluginParameters('Degree')\r\n    graph.applyDoubleAlgorithm('Degree', degree, degreeParams)\r\n\r\n    # create a heat map color scale\r\n    heatMap = tlp.ColorScale([tlp.Color.Green, tlp.Color.Black, tlp.Color.Red])\r\n\r\n    # linearly map node degrees to colors using the 'Color Mapping' plugin from Tulip\r\n    # using the heat map color scale\r\n    colorMappingParams = tlp.getDefaultPluginParameters('Color Mapping', graph)\r\n    colorMappingParams['input property'] = degree\r\n    colorMappingParams['color scale'] = heatMap\r\n    graph.applyColorAlgorithm('Color Mapping', colorMappingParams)\r\n\r\n    # apply the 'Bubble Tree' graph layout plugin from Tulip\r\n    graph.applyLayoutAlgorithm('Bubble Tree')\r\n\r\n    # compute quadratic bezier shapes for edges\r\n    curveEdgeParams = tlp.getDefaultPluginParameters('Curve edges', graph)\r\n    curveEdgeParams['curve type'] = 'QuadraticDiscrete'\r\n    graph.applyAlgorithm('Curve edges', curveEdgeParams)\r\n\r\n    # create a node link diagram view of the graph,\r\n    # a window containing the Tulip OpenGL visualization\r\n    # will be created and displayed\r\n    nodeLinkView = tlpgui.createNodeLinkDiagramView(graph)\r\n    # set some rendering parameters for the graph\r\n    renderingParameters = nodeLinkView.getRenderingParameters()\r\n    renderingParameters.setViewArrow(True)\r\n    renderingParameters.setMinSizeOfLabel(8)\r\n    renderingParameters.setEdgeColorInterpolate(True)\r\n    nodeLinkView.setRenderingParameters(renderingParameters)\r\n\r\nReferences\r\n==========\r\n\r\n.. [1] David Auber, Romain Bourqui, Maylis Delest, Antoine Lambert,\r\n       Patrick Mary, Guy M\u00e9lan\u00e7on, Bruno Pinaud, Benjamin Renoust and Jason Vallet.\r\n       TULIP 4. Research report. LaBRI - Laboratoire Bordelais de Recherche en Informatique. 2016.\r\n       https://hal.archives-ouvertes.fr/hal-01359308\r\n\r\n.. [2] David Auber, Daniel Archambault, Romain Bourqui, Antoine Lambert, Morgan Mathiaut,\r\n       Patrick Mary, Maylis Delest, Jonathan Dubois, and Guy M\u00e9lan\u00e7on. The Tulip 3 Framework:\r\n       A Scalable Software Library for Information Visualization Applications Based on Relational\r\n       Data. Technical report RR-7860, INRIA, January 2012\r\n       https://hal.archives-ouvertes.fr/hal-00659880\r\n\r\n.. [3] Antoine Lambert and David Auber. Graph analysis and visualization with Tulip-Python.\r\n       EuroSciPy 2012 - 5th European meeting on Python in Science, Bruxelles\r\n       https://hal.archives-ouvertes.fr/hal-00744969\r\n\r\n.. [4] Riverbank Computing Limited. SIP - a tool for automatically generating Python bindings for\r\n       C and C++ libraries. http://www.riverbankcomputing.co.uk/software/sip\r\n\r\n\r\n\r\n",
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        "license": "LGPLv3",
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        "name": "tulipgui-python",
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