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        "description": "PyNAFF\n======\n\nAuthors:\n\n-  Foteini Asvesta (fasvesta .at. cern .dot. ch)\n-  Nikos Karastathis (nkarast .at. cern .dot. ch)\n-  Panagiotis Zisopoulos (pzisopou .at. cern .dot. ch)\n\nA Python module that implements the `Numerical Analysis of Fundamental\nFrequencies method of J. Lashkar`_. The code works either as a script\n(as the original code of Lashkar) or loaded as a module in Python/Julia\ncode or jupyter-like notebooks (i.e. SWAN).\n\nExample of Usage\n----------------\n\n.. code:: python\n\n   import PyNAFF as pnf\n   import numpy as np\n\n   t = np.linspace(1, 3000, num=3000, endpoint=True)\n   Q = 0.12345\n   signal = np.sin(2.0*np.pi*Q*t)\n   pnf.naff(signal, 500, 1, 0 , False, window=1)\n   # outputs an array of arrays for each frequency. Each sub-array includes:\n   # [order of harmonic, frequency, Amplitude, Re{Amplitude}, Im{Amplitude]\n\n\n   # My frequency is simply\n   pnf.naff(signal, 500, 1, 0 , False)[0][1]\n\n\u2013 nkarast\n\n.. _Numerical Analysis of Fundamental Frequencies method of J. Lashkar: http://www.sciencedirect.com/science/article/pii/001910359090084M\n\n\n",
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