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        "author": "G. Sagnol, M. Stahlberg",
        "author_email": "incoming+picos-api/picos@incoming.gitlab.com",
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        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Mathematics"
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        "description": "A Python Interface to Conic Optimization Solvers\n================================================\n\nPICOS is a user friendly Python API to several conic and integer programming\nsolvers, very much like [YALMIP](http://users.isy.liu.se/johanl/yalmip/) or\n[CVX](http://cvxr.com/cvx/) under [MATLAB](http://www.mathworks.com/).\n\nPICOS allows you to enter a mathematical optimization problem as a **high level\nmodel**, with painless support for **(complex) vector and matrix variables** and\n**multidemensional algebra**. Your model will be transformed to the standard\nform understood by an appropriate solver that is available at runtime. This\nmakes your application **portable** as users have the choice between several\ncommercial and open source solvers.\n\nFeatures\n--------\n\nPICOS runs under both **Python 2** and **Python 3** and supports the following\nsolvers and problem types. To use a solver, you need to seperately install it\nalong with the Python interface listed here.\n\n| Solver | Interface | [LP](https://en.wikipedia.org/wiki/Linear_programming) | [SOCP](https://en.wikipedia.org/wiki/Second-order_cone_programming) | [SDP](https://en.wikipedia.org/wiki/Semidefinite_programming) | [QCQP](https://en.wikipedia.org/wiki/Quadratically_constrained_quadratic_program) | [EXP](https://docs.mosek.com/modeling-cookbook/expo.html) | [MIP](https://en.wikipedia.org/wiki/Integer_programming) | License |\n| --------------------------------------------------------- | ---------------------------------------------------------- | --- | --- | --- | --- | --- | --- | -------- |\n| [CPLEX](https://www.ibm.com/analytics/cplex-optimizer)    | included                                                   | Yes | Yes |     | Yes |     | Yes | non-free |\n| [CVXOPT](https://cvxopt.org/)                             | native                                                     | Yes | Yes | Yes | Yes | Yes\u00b9|     | [GPL-3](https://www.gnu.org/licenses/gpl-3.0.html) |\n| [ECOS](https://www.embotech.com/ECOS)                     | [ecos-python](https://github.com/embotech/ecos-python)     | Yes | Yes |     | Yes | Yes | Yes | [GPL-3](https://www.gnu.org/licenses/gpl-3.0.html) |\n| [GLPK](https://www.gnu.org/software/glpk/)                | [swiglpk](https://github.com/biosustain/swiglpk)           | Yes |     |     |     |     | Yes | [GPL-3](https://www.gnu.org/licenses/gpl-3.0.html) |\n| [Gurobi](http://www.gurobi.com/products/gurobi-optimizer) | included                                                   | Yes | Yes |     | Yes |     | Yes | non-free |\n| [MOSEK](https://www.mosek.com/)                           | included                                                   | Yes | Yes | Yes | Yes |     | Yes | non-free |\n| [SMCP](http://smcp.readthedocs.io/en/latest/)             | native                                                     | Yes\u00b2| Yes\u00b2| Yes | Yes\u00b2|     |     | [GPL-3](https://www.gnu.org/licenses/gpl-3.0.html) |\n| [SCIP](http://scip.zib.de/)                               | [PySCIPOpt](https://github.com/SCIP-Interfaces/PySCIPOpt/) | Yes | Yes |     | Yes |     | Yes | [ZIB](https://scip.zib.de/academic.txt)/[MIT](https://github.com/SCIP-Interfaces/PySCIPOpt/blob/master/LICENSE) |\n\n\u00b9 only [geometric programming](https://en.wikipedia.org/wiki/Geometric_programming),\n\u00b2 experimental\n\n### Example\n\nThis is what it looks like to solve a multidimensional mixed integer program\nwith PICOS:\n\n```python\n>>> import picos\n>>> P = picos.Problem()\n>>> x = P.add_variable(\"x\", 2, vtype=\"integer\")\n>>> C = P.add_constraint(x <= 5.5)\n>>> P.set_objective(\"max\", 1|x) # 1|x is the sum over x\n>>> solution = P.solve(verbose = 0)\n>>> print(solution[\"status\"])\n'integer optimal solution'\n>>> print(P.obj_value())\n10.0\n>>> print(x)\n[ 5.00e+00]\n[ 5.00e+00]\n>>> print(C.slack)\n[ 5.00e-01]\n[ 5.00e-01]\n```\n\n### Documentation & Source\n\n- The full documentation can be browsed\n[online](https://picos-api.gitlab.io/picos/)\nor downloaded\n[in PDF form](https://gitlab.com/picos-api/picos/-/jobs/artifacts/master/raw/picos.pdf?job=pdfdoc).\n- The API documentation without the tutorial and examples is also available as a\n[separate PDF](https://gitlab.com/picos-api/picos/-/jobs/artifacts/master/raw/picos-api.pdf?job=pdfdoc).\n- The source code lives on [GitLab](https://gitlab.com/picos-api/picos).\n\nInstallation\n------------\n\n### Via pip\n\nIf you are using [pip](https://pypi.org/project/pip/) you can run\n``pip install picos`` to get the latest version.\n\n### Via Anaconda\n\nIf you are using [Anaconda](https://anaconda.org/) you can run\n``conda install -c picos picos`` to get the latest version.\n\n### Via your system's package manager\n\nOn **Arch Linux**, there are seperate packages in the AUR for the\n[latest version](https://aur.archlinux.org/packages/python-picos-git/) and the\n[latest release](https://aur.archlinux.org/packages/python-picos/). Both are\nsplit packages that ship both Python 2 and Python 3 versions of PICOS.\n\nIf you are packaging PICOS for additional systems, please tell us so we can list\nyour package here!\n\n### From source\n\nIf you are installing PICOS manually, you can choose between a number of\n[development versions](https://gitlab.com/picos-api/picos/branches) and\n[source releases](https://gitlab.com/picos-api/picos/tags).\nYou will need to have at least the following Python packages installed:\n\n- [NumPy](http://www.numpy.org/)\n- [CVXOPT](https://cvxopt.org/)\n\nCredits\n-------\n\n### Developers\n\n- [Guillaume Sagnol](http://page.math.tu-berlin.de/~sagnol/) is PICOS' initial\n  author and primary developer since 2012.\n- [Maximilian Stahlberg](about:blank) is extending and maintaining PICOS since\n  2017.\n\n### Contributors\n\nFor an up-to-date list of all code contributors, please refer to the\n[contributors page](https://gitlab.com/picos-api/picos/graphs/master).\nShould a reference from before 2019 be unclear, you can refer to the\n[old contributors page](https://github.com/gsagnol/picos/graphs/contributors)\non GitHub as well.\n\nLicense\n-------\n\nPICOS is free and open source software and available to you under the terms of\nthe [GNU GPL v3](https://gitlab.com/picos-api/picos/raw/master/LICENSE.txt).",
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