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        "description": "pymangle\n========\n\nSimple python code to read and work with Mangle masks.\n\nThe underlying code is in C for speed, and is based on some C++ code written by\nMartin White.  Martin has posted his C++ code at\nhttps://github.com/martinjameswhite/litemangle\n\nCurrently supports ascii mangle polygon files, with and without pixelization.\nThe code works in python2 and python3\n\nAuthors: Erin Sheldon.  Long double support added by Eli Rykoff.\n\nexamples\n--------\n\n```python\nimport pymangle\n\n# read a mangle polygon file\nm=pymangle.Mangle(\"mask.ply\")\n\n# test an ra,dec point against the mask\ngood = m.contains(200.0, 0.0)\n\n# test arrays of ra,dec points against the mask\nra=numpy.array([200.0, 152.7])\ndec=numpy.array([0.0, -15.0])\ngood = m.contains(ra, dec)\n\n# get the polygon ids\nids = m.polyid(ra,dec)\n\n# get the weights\nweights = m.weight(ra,dec)\n\n# get poth polyids and weights\nids, weights = m.polyid_and_weight(ra, dec)\n\n# generate random points    \nra_rand, dec_rand = m.genrand(1000)\n\n# generate randoms from the mask and with the additional constraint that they\n# are within the specified rectangle.  This speeds things up if your mask is\n# relatively small compared to the full sphere; choose the box just big enough\n# to contain the mask.\n\nra_min=200.0\nra_max=210.0\ndec_min=0.0\ndec_max=10.0\nra_rand, dec_rand = m.genrand_range(1000,ra_min,ra_max,dec_min,dec_max)\n\n# get the polygon weights\nweights = m.weights\n\n# read in a new set of weights\nm.read_weightfile(weightfile)\n\n# set the weights\n\nm.weights = weight_array\n```\n\nbuild and install python library\n--------------------------------\n\n```bash\n# using pip\npip install pymangle\n\n# from source\npython setup.py install --prefix=/some/path\n```\n\ntests\n-----\n```bash\npython -c 'import pymangle; pymangle.test.test()\n```",
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