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        "author": "Dani\u00ebl de Vries",
        "author_email": "contact@daniel-de-vries.com",
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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Natural Language :: English",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
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            "Programming Language :: Fortran",
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        "description": "\nGeneral\n-------\nThis is a stripped down version of XFOIL, presented in the form of a Python module. What's unique about this package\n w.r.t. many others out there allowing an interface to XFOIL, is the fact that the Python code talks directly to a \n compiled Fortran library. This approach avoids having to read/write in-/output files to the disk and communicating with\n the XFOIl executable. Eliminating the need for constant disk I/O operations can significantly speed up parallel \n frameworks in particular, giving this approach a clear advantage.\n\nBuilding and Installing the Python Module\n-----------------------------------------\nIf you are on a Windows machine (64bit) with Python 3.6, installing XFoil is a simple matter of running:\n\n```bash\npip install xfoil\n```\n\nIf you are using a different type of machine, or a different version of Python, you will have to make sure some\nsoftware is installed on your system in order for the package to be successfully built. First of all, the module targets \nPython 3, and does NOT support Python 2. So make sure a Python 3 environment is installed and available.\nFurthermore, working compilers for C and Fortran have to be installed and on the PATH. On Windows, the build and\ninstallation have ONLY been tested with MinGW, using gcc and gfortran. \n\nThen, installing XFoil should be as simple as running\n\n```bash\npip install .\n```\n\nfrom the root of the downloaded repository.\n\nOn Windows, you may have to force the system to use MinGW. To do so, create a file named `distutils.cfg` in \n`PYTHONPATH\\Lib\\distutils` with the following contents:\n\n```INI\n[build]\ncompiler=mingw32\n```\n\nIf you are not able to create this file for your Python environment, you can instead create a file named `setup.cfg` in\nthe root of the repo with the same contents. It is also possible to force the use of MinGW  directly when invoking \n`pip` by calling:\n\n```bash\npip install --global-option build_ext --global-option --compiler=mingw32 .\n```\n\nUsing the Module\n----------------\nAll XFoil operations are performed using the `XFoil` class. So the first step when using this module is to create an\ninstance of this class:\n\n```pycon\n>>>  from xfoil import XFoil\n>>>  xf = XFoil()\n```\n\nIf this does not produce any errors, the installation should be functioning properly. \n\n\nThe symmetric NACA 0012 airfoil is included as a test case. It can be loaded into the XFoil library like this:\n\n```pycon\n>>>  from xfoil.test import naca0012\n>>>  xf.airfoil = naca0012\n\n Number of input coordinate points: 160\n Counterclockwise ordering\n Max thickness =     0.120008  at x =   0.308\n Max camber    =     0.000000  at x =   0.033\n\n  LE  x,y  =  -0.00000   0.00000  |   Chord =   1.00000\n  TE  x,y  =   1.00000   0.00000  |\n\n Current airfoil nodes set from buffer airfoil nodes ( 160 )\n```\n\nOnce the airfoil has been loaded successfully it can be analyzed. Let's analyze it for a range of angles of attack, at a\nReynolds number of one million. Let's limit the maximum number of iterations to 40 (the default is 20) as well. \nFor the range of angles of attack, we will go from -20 degrees to 20 degrees with steps of 0.5 degrees:\n\n```pycon\n>>>  xf.Re = 1e6\n>>>  xf.max_iter = 40\n>>>  a, cl, cd, cm = xf.aseq(-20, 20, 0.5)\n```\n\nThe XFOIL library should produce a lot of output, which should be familiar to those who have used the original XFOIL \napplication before. The final result are lists of angles of attack, `a`, and the corresponding lift coefficients, `cl`, \ndrag coefficients, `cd`, and moment coefficients, `cm`. We can now, for example, plot the lift curve for this airfoil:\n\n```pycon\n>>>  import matplotlib.pyplot as plt\n>>>  plt.plot(a, cl)\n>>>  plt.show()\n```\n\nThis should produce the following figure:\n\n![NACA 0012 Lift Curve](https://github.com/daniel-de-vries/xfoil-python/raw/master/naca0012-lift-curve.png)\n\nJust like in the original XFOIL application, an airfoil can also analyzed for a single angle of attack, single lift\ncoefficient, or a range of lift coefficients. The commands for these operations are\n\n```pycon\n>>>  cl, cd, cm = xf.a(10)\n>>>  a, cd, cm = xf.cl(1)\n>>>  a, cl, cd, cm = xf.cseq(-0.5, 0.5, 0.05)\n```\n\nto analyze for an angle of attack of 10 degrees, a lift coefficient of 1.0, and for a range of lift coefficients from\n-0.5 to 0.5 with steps of 0.05.\n\nFor other features and specifics, see the documentation in the Python source files.\n\n\n",
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