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        "description": "# PyNormaliz - An interface to Normaliz\n\n\n## What is PyNormaliz\n\nPyNormaliz provides an interface to Normaliz (https://www.normaliz.uni-osnabrueck.de) via libNormaliz. It offers the complete functionality of Normaliz, and can be used interactively from python. For a first example, see [this introduction](doc/PyNormaliz_Tutorial.pdf) by Richard Sieg.\n\n\n## Requirements\n\n* python 2.7 or higher or python 3.4 or higher\n* Normaliz 3.2.1 or higher (https://github.com/Normaliz/Normaliz/releases)\n\nThe source packages of the Normaliz realeases contains PyNormaliz.\n\n## Installation\n\nThe PyNormaliz install script assumes that you have executed the\n```\ninstall_normaliz_with_qnormaliz_eantic.sh\n```\nscript. To install PyNormaliz and navigate to the Normaliz directory and type\n```\npython setup.py install --user\n```\n\nThe script can be customized by some options. See Appendix E of the [Normaliz manual](https://github.com/Normaliz/Normaliz/blob/master/doc/Normaliz.pdf).\n\n## Usage\n\nThe main command is Cone to create a cone, and the member functions\nof the cone class to compute properties. For a full list of input and output\nproperties, see the Normaliz manual.\n\nTo create a cone, use\n```\nimport PyNormaliz\nC = PyNormaliz.Cone(cone = [[1,0],[0,1]])\n```\n\nAll possible Normaliz input types can be given as keyword arguments.\n\nTo compute a property of the cone, use the provided getters, which correspond to Normaliz computation goals.\n\n```\nC.HilbertBasis()\n```\n\nYou can pass options to the compute functions\n```\nC.HilbertSeries(HSOP = True)\n```\n\n## Low level commands\n\nThere is also a low-level API, directly using C functions:\n\nTo create a cone, use\n```\nC = NmzCone(\"cone\", [[1,0],[0,1]])\n```\nor, equivalently,\n```\nC = NmzCone([\"cone\", [[1,0],[0,1]]])\n```\nNmzCone can take an arbitrary number of arguments, either as separated arguments or in a list. First is always a string, describing an input property for Normaliz, followed by a (possibly empty) matrix.\n\nNmzCompute takes a cone as first argument, followed by arbitrary many strings, or a list of strings, describing Normaliz output types. NmzCompute lets Normaliz compute the necessary values, and returns true if everything was computed properly, false otherwise.\n```\nNmzCompute(C, \"HilbertBasis\")\n```\nor\n```\nNmzCompute(C, [\"HilbertBasis\"])\n```\n\nNmzIsComputed takes a cone and a string representing an output property, and returns true if the property is already computed for the cone, false otherwise. (In contrast to NmzCompute it does not start a computation.)\n```\nNmzIsComputed(C, \"HilbertBasis\")\n```\n\nNmzResult takes a cone and a string representing an output property, and returns the computed value of this property as a matrix, a list, or as a bool.\n```\nNmzResult(C, \"HilbertBasis\")\n```",
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