import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [1.950000e+00, 2.750000e+00, 3.550000e+00, 5.000000e+00, 1.050000e+01],
      'Analysis.yoda.gz' : [1.950000e+00, 2.750000e+00, 3.550000e+00, 5.000000e+00, 1.050000e+01],
     '_Analysis.yoda.gz' : [1.950000e+00, 2.750000e+00, 3.550000e+00, 5.000000e+00, 1.050000e+01],
    '__Analysis.yoda.gz' : [1.950000e+00, 2.750000e+00, 3.550000e+00, 5.000000e+00, 1.050000e+01],
}

xedges = {
                  'Data' : [1.500000e+00, 2.400000e+00, 3.100000e+00, 4.000000e+00, 6.000000e+00,
                            1.500000e+01],
      'Analysis.yoda.gz' : [1.500000e+00, 2.400000e+00, 3.100000e+00, 4.000000e+00, 6.000000e+00,
                            1.500000e+01],
     '_Analysis.yoda.gz' : [1.500000e+00, 2.400000e+00, 3.100000e+00, 4.000000e+00, 6.000000e+00,
                            1.500000e+01],
    '__Analysis.yoda.gz' : [1.500000e+00, 2.400000e+00, 3.100000e+00, 4.000000e+00, 6.000000e+00,
                            1.500000e+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' : [2.900000e+00, 2.490000e+00, 1.350000e+00, 5.300000e-01, 5.800000e-02],
      'Analysis.yoda.gz' : [4.134198e+00, 2.553772e+00, 1.512597e+00, 5.751886e-01, 4.624944e-02],
     '_Analysis.yoda.gz' : [3.956344e+00, 2.778253e+00, 1.441941e+00, 5.273389e-01, 4.902349e-02],
    '__Analysis.yoda.gz' : [2.019426e+00, 1.478231e+00, 8.055536e-01, 3.458429e-01, 2.944150e-02],
}

xerrs = {
                  'Data' : [
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                           ],
      'Analysis.yoda.gz' : [
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                           ],
     '_Analysis.yoda.gz' : [
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                           ],
}

yerrs = {
                  'Data' : [
                              [5.197115e-01, 4.455334e-01, 2.267157e-01, 5.385165e-02, 1.140175e-02],
                              [5.197115e-01, 4.244997e-01, 2.051828e-01, 5.830952e-02, 1.389244e-02],
                           ],
      'Analysis.yoda.gz' : [
                              [1.876168e-01, 1.608900e-01, 1.009200e-01, 3.839517e-02, 3.926465e-03],
                              [1.876168e-01, 1.608900e-01, 1.009200e-01, 3.839517e-02, 3.926465e-03],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.000960e-01, 1.642245e-01, 1.036227e-01, 4.133278e-02, 4.135261e-03],
                              [2.000960e-01, 1.642245e-01, 1.036227e-01, 4.133278e-02, 4.135261e-03],
                           ],
    '__Analysis.yoda.gz' : [
                              [4.899548e-02, 4.713240e-02, 2.998627e-02, 1.261481e-02, 1.388272e-03],
                              [4.899548e-02, 4.713240e-02, 2.998627e-02, 1.261481e-02, 1.388272e-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' : [1.425586e+00, 1.025611e+00, 1.120442e+00, 1.085262e+00, 7.974041e-01],
     '_Analysis.yoda.gz' : [1.364257e+00, 1.115764e+00, 1.068104e+00, 9.949791e-01, 8.452326e-01],
    '__Analysis.yoda.gz' : [6.963538e-01, 5.936671e-01, 5.967064e-01, 6.525338e-01, 5.076121e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.792108e-01, 1.789291e-01, 1.679375e-01, 1.016069e-01, 1.965820e-01],
                              [1.792108e-01, 1.704818e-01, 1.519873e-01, 1.100180e-01, 2.395249e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [6.469545e-02, 6.461446e-02, 7.475556e-02, 7.244372e-02, 6.769767e-02],
                              [6.469545e-02, 6.461446e-02, 7.475556e-02, 7.244372e-02, 6.769767e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [6.899862e-02, 6.595361e-02, 7.675756e-02, 7.798638e-02, 7.129760e-02],
                              [6.899862e-02, 6.595361e-02, 7.675756e-02, 7.798638e-02, 7.129760e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.689499e-02, 1.892867e-02, 2.221205e-02, 2.380153e-02, 2.393572e-02],
                              [1.689499e-02, 1.892867e-02, 2.221205e-02, 2.380153e-02, 2.393572e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}