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Created with Raphaël 2.2.017Jun118428May2725201814127630Apr2917151412Mar1131Jan2410719Dec121110225Nov22141229Oct8730Sep2524232028Aug263Jul4Jun21May163Apr18Mar1486426Feb251412874130Jan292524231816151110974310Dec65330Nov87231Oct302512fix asymmetry due to trigonometric inaccuracies and fix rotor average problem in fugafix asymmetry due to trigonometric inaccuracies and fix rotor average problem in fugaSwitch to xarray where appropriateSwitch to xarray where appropriateAdd new fileAdd new fileUpdate wasp_grid_site.pyUpdate wasp_grid_site.pyDoc rotor avg modelDoc rotor avg modelNew ci machineNew ci machineadd YZGrid + testsadd YZGrid + testsadd description of pywake-rans to the Introduction.ipynbadd description of pywake-rans to the Introduction.ipynbfix testfix testadd PowerScaler class to avoid pickle problems with multiprocessingadd PowerScaler class to avoid pickle problems with multiprocessingFix code style.Fix code style.Replacing scipy.interpolate.interp1d with a user defined class, as interp1d can be slower in some cases.Replacing scipy.interpolate.interp1d with a user defined class, as interp1d can be slower in some cases.Fix small error in noj_terrain_following.py.Fix small error in noj_terrain_following.py.Replace lambda function with scipy interpolate.interp1d, to avoid pickle error in certain cases using multiprocessing.Replace lambda function with scipy interpolate.interp1d, to avoid pickle error in certain cases using multiprocessing.use faster method as long as only one wt type is used (even if type!=0)use faster method as long as only one wt type is used (even if type!=0)check that reference values are not too different from the mean reference valuescheck that reference values are not too different from the mean reference valuesmove similar deficitModel tests to test_deficit_models.pymove similar deficitModel tests to test_deficit_models.pyadd test utilizing multiprocessing to calculate aepadd test utilizing multiprocessing to calculate aepadd GCL wake model and RotorAvgModeladd GCL wake model and RotorAvgModelclean up a littleclean up a little