import numpy as np
from numpy import nan, inf

add_legend_handle = [
  'Data',
  'Analysis.yoda.gz',
  '_Analysis.yoda.gz',
  '__Analysis.yoda.gz'
]

xpoints = {
                  'Data' : [1.750000e+00, 2.250000e+00, 3.000000e+00, 4.250000e+00, 7.500000e+00],
      'Analysis.yoda.gz' : [1.750000e+00, 2.250000e+00, 3.000000e+00, 4.250000e+00, 7.500000e+00],
     '_Analysis.yoda.gz' : [1.750000e+00, 2.250000e+00, 3.000000e+00, 4.250000e+00, 7.500000e+00],
    '__Analysis.yoda.gz' : [1.750000e+00, 2.250000e+00, 3.000000e+00, 4.250000e+00, 7.500000e+00],
}

xedges = {
                  'Data' : [1.500000e+00, 2.000000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00,
                            1.000000e+01],
      'Analysis.yoda.gz' : [1.500000e+00, 2.000000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00,
                            1.000000e+01],
     '_Analysis.yoda.gz' : [1.500000e+00, 2.000000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00,
                            1.000000e+01],
    '__Analysis.yoda.gz' : [1.500000e+00, 2.000000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00,
                            1.000000e+01],
}

ref_xerrs = [
  [abs(xpoints['Data'][i]   - xedges['Data'][i]) for i in range(len(xpoints['Data']))],
  [abs(xedges['Data'][i+1] - xpoints['Data'][i]) for i in range(len(xpoints['Data']))]
]

yvals = {
                  'Data' : [3.300000e+00, 3.160000e+00, 1.920000e+00, 7.900000e-01, 1.040000e-01],
      'Analysis.yoda.gz' : [4.196177e+00, 4.163090e+00, 2.205695e+00, 9.530972e-01, 1.440589e-01],
     '_Analysis.yoda.gz' : [4.186453e+00, 3.840559e+00, 2.338495e+00, 9.636481e-01, 1.149636e-01],
    '__Analysis.yoda.gz' : [2.133318e+00, 1.824522e+00, 1.117326e+00, 4.962552e-01, 6.842470e-02],
}

xerrs = {
                  'Data' : [
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                           ],
      'Analysis.yoda.gz' : [
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                           ],
}

yerrs = {
                  'Data' : [
                              [4.242641e-01, 3.689173e-01, 1.878829e-01, 8.062258e-02, 1.140175e-02],
                              [5.830952e-01, 3.047950e-01, 1.526434e-01, 7.211103e-02, 1.220656e-02],
                           ],
      'Analysis.yoda.gz' : [
                              [2.745098e-01, 3.022336e-01, 1.325061e-01, 6.721724e-02, 1.252385e-02],
                              [2.745098e-01, 3.022336e-01, 1.325061e-01, 6.721724e-02, 1.252385e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [3.290930e-01, 2.758845e-01, 1.423661e-01, 7.251904e-02, 1.314291e-02],
                              [3.290930e-01, 2.758845e-01, 1.423661e-01, 7.251904e-02, 1.314291e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [6.480368e-02, 5.914898e-02, 3.393946e-02, 1.780772e-02, 3.257438e-03],
                              [6.480368e-02, 5.914898e-02, 3.393946e-02, 1.780772e-02, 3.257438e-03],
                           ],
}

variation_yvals = {
}



# lists for ratio plot
ratio0_yvals = {
                  'Data' : [1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00],
      'Analysis.yoda.gz' : [1.271569e+00, 1.317434e+00, 1.148799e+00, 1.206452e+00, 1.385182e+00],
     '_Analysis.yoda.gz' : [1.268622e+00, 1.215367e+00, 1.217966e+00, 1.219808e+00, 1.105419e+00],
    '__Analysis.yoda.gz' : [6.464600e-01, 5.773804e-01, 5.819406e-01, 6.281711e-01, 6.579298e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.285649e-01, 1.167460e-01, 9.785570e-02, 1.020539e-01, 1.096323e-01],
                              [1.766955e-01, 9.645412e-02, 7.950176e-02, 9.127978e-02, 1.173707e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [8.318479e-02, 9.564354e-02, 6.901359e-02, 8.508511e-02, 1.204216e-01],
                              [8.318479e-02, 9.564354e-02, 6.901359e-02, 8.508511e-02, 1.204216e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [9.972515e-02, 8.730522e-02, 7.414901e-02, 9.179625e-02, 1.263741e-01],
                              [9.972515e-02, 8.730522e-02, 7.414901e-02, 9.179625e-02, 1.263741e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.963748e-02, 1.871803e-02, 1.767680e-02, 2.254142e-02, 3.132152e-02],
                              [1.963748e-02, 1.871803e-02, 1.767680e-02, 2.254142e-02, 3.132152e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}