import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [7.500000e+00, 1.500000e+01, 3.000000e+01, 6.000000e+01, 5.400000e+02],
      'Analysis.yoda.gz' : [7.500000e+00, 1.500000e+01, 3.000000e+01, 6.000000e+01, 5.400000e+02],
     '_Analysis.yoda.gz' : [7.500000e+00, 1.500000e+01, 3.000000e+01, 6.000000e+01, 5.400000e+02],
    '__Analysis.yoda.gz' : [7.500000e+00, 1.500000e+01, 3.000000e+01, 6.000000e+01, 5.400000e+02],
}

xedges = {
                  'Data' : [5.000000e+00, 1.000000e+01, 2.000000e+01, 4.000000e+01, 8.000000e+01,
                            1.000000e+03],
      'Analysis.yoda.gz' : [5.000000e+00, 1.000000e+01, 2.000000e+01, 4.000000e+01, 8.000000e+01,
                            1.000000e+03],
     '_Analysis.yoda.gz' : [5.000000e+00, 1.000000e+01, 2.000000e+01, 4.000000e+01, 8.000000e+01,
                            1.000000e+03],
    '__Analysis.yoda.gz' : [5.000000e+00, 1.000000e+01, 2.000000e+01, 4.000000e+01, 8.000000e+01,
                            1.000000e+03],
}

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' : [5.200000e-01, 2.300000e-01, 6.700000e-02, 2.100000e-02, 1.000000e-03],
      'Analysis.yoda.gz' : [6.286608e-01, 2.093226e-01, 7.567369e-02, 2.220605e-02, 7.183457e-04],
     '_Analysis.yoda.gz' : [4.726406e-01, 1.581137e-01, 9.537905e-02, 2.305661e-02, 8.584046e-04],
    '__Analysis.yoda.gz' : [3.592001e-02, 1.956868e-01, 7.493172e-02, 2.538583e-02, 8.709993e-04],
}

xerrs = {
                  'Data' : [
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                           ],
      'Analysis.yoda.gz' : [
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                              [2.500000e+00, 5.000000e+00, 1.000000e+01, 2.000000e+01, 4.600000e+02],
                           ],
}

yerrs = {
                  'Data' : [
                              [8.062258e-02, 2.828427e-02, 1.131371e-02, 4.242641e-03, 3.605551e-04],
                              [1.063015e-01, 2.828427e-02, 1.063015e-02, 4.242641e-03, 4.242641e-04],
                           ],
      'Analysis.yoda.gz' : [
                              [3.498209e-02, 1.338210e-02, 4.650115e-03, 1.566649e-03, 4.187699e-05],
                              [3.498209e-02, 1.338210e-02, 4.650115e-03, 1.566649e-03, 4.187699e-05],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.828040e-01, 3.435280e-02, 1.197589e-02, 2.242927e-03, 2.518551e-04],
                              [2.828040e-01, 3.435280e-02, 1.197589e-02, 2.242927e-03, 2.518551e-04],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.153569e-01, 3.192863e-02, 8.716270e-03, 1.872176e-03, 7.032681e-05],
                              [2.153569e-01, 3.192863e-02, 8.716270e-03, 1.872176e-03, 7.032681e-05],
                           ],
}

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' : [1.208963e+00, 9.100983e-01, 1.129458e+00, 1.057431e+00, 7.183457e-01],
     '_Analysis.yoda.gz' : [9.089242e-01, 6.874509e-01, 1.423568e+00, 1.097934e+00, 8.584046e-01],
    '__Analysis.yoda.gz' : [6.907694e-02, 8.508122e-01, 1.118384e+00, 1.208849e+00, 8.709993e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.550434e-01, 1.229751e-01, 1.688613e-01, 2.020305e-01, 3.605551e-01],
                              [2.044259e-01, 1.229751e-01, 1.586589e-01, 2.020305e-01, 4.242641e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [6.727325e-02, 5.818304e-02, 6.940470e-02, 7.460233e-02, 4.187699e-02],
                              [6.727325e-02, 5.818304e-02, 6.940470e-02, 7.460233e-02, 4.187699e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [5.438538e-01, 1.493600e-01, 1.787446e-01, 1.068060e-01, 2.518551e-01],
                              [5.438538e-01, 1.493600e-01, 1.787446e-01, 1.068060e-01, 2.518551e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [4.141479e-01, 1.388201e-01, 1.300936e-01, 8.915124e-02, 7.032681e-02],
                              [4.141479e-01, 1.388201e-01, 1.300936e-01, 8.915124e-02, 7.032681e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}