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-01, 3.250000e-01, 4.750000e-01, 6.250000e-01, 8.500000e-01],
      'Analysis.yoda.gz' : [1.750000e-01, 3.250000e-01, 4.750000e-01, 6.250000e-01, 8.500000e-01],
     '_Analysis.yoda.gz' : [1.750000e-01, 3.250000e-01, 4.750000e-01, 6.250000e-01, 8.500000e-01],
    '__Analysis.yoda.gz' : [1.750000e-01, 3.250000e-01, 4.750000e-01, 6.250000e-01, 8.500000e-01],
}

xedges = {
                  'Data' : [1.000000e-01, 2.500000e-01, 4.000000e-01, 5.500000e-01, 7.000000e-01,
                            1.000000e+00],
      'Analysis.yoda.gz' : [1.000000e-01, 2.500000e-01, 4.000000e-01, 5.500000e-01, 7.000000e-01,
                            1.000000e+00],
     '_Analysis.yoda.gz' : [1.000000e-01, 2.500000e-01, 4.000000e-01, 5.500000e-01, 7.000000e-01,
                            1.000000e+00],
    '__Analysis.yoda.gz' : [1.000000e-01, 2.500000e-01, 4.000000e-01, 5.500000e-01, 7.000000e-01,
                            1.000000e+00],
}

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' : [1.870000e+01, 1.250000e+01, 9.400000e+00, 3.100000e+00, 6.700000e-01],
      'Analysis.yoda.gz' : [9.091479e+00, 6.354451e+00, 5.628333e+00, 3.914552e+00, 1.881030e-01],
     '_Analysis.yoda.gz' : [9.759687e+00, 7.857904e+00, 2.214474e+00, 3.943771e+00, 6.979937e-01],
    '__Analysis.yoda.gz' : [1.029210e+01, 9.793862e+00, 4.524399e+00, 5.546717e+00, 7.311201e-01],
}

xerrs = {
                  'Data' : [
                              [7.500000e-02, 7.500000e-02, 7.500000e-02, 7.500000e-02, 1.500000e-01],
                              [7.500000e-02, 7.500000e-02, 7.500000e-02, 7.500000e-02, 1.500000e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [7.500000e-02, 7.500000e-02, 7.500000e-02, 7.500000e-02, 1.500000e-01],
                              [7.500000e-02, 7.500000e-02, 7.500000e-02, 7.500000e-02, 1.500000e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [7.500000e-02, 7.500000e-02, 7.500000e-02, 7.500000e-02, 1.500000e-01],
                              [7.500000e-02, 7.500000e-02, 7.500000e-02, 7.500000e-02, 1.500000e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [7.500000e-02, 7.500000e-02, 7.500000e-02, 7.500000e-02, 1.500000e-01],
                              [7.500000e-02, 7.500000e-02, 7.500000e-02, 7.500000e-02, 1.500000e-01],
                           ],
}

yerrs = {
                  'Data' : [
                              [6.794115e+00, 3.629049e+00, 2.687006e+00, 1.194822e+00, 2.505913e-01],
                              [6.986415e+00, 3.770942e+00, 2.782086e+00, 1.223928e+00, 2.557342e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [1.814683e+00, 1.959305e+00, 1.368222e+00, 1.089696e+00, 2.572701e-01],
                              [1.814683e+00, 1.959305e+00, 1.368222e+00, 1.089696e+00, 2.572701e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.180828e+00, 1.160904e+00, 2.562370e+00, 4.704637e-01, 1.037725e-01],
                              [2.180828e+00, 1.160904e+00, 2.562370e+00, 4.704637e-01, 1.037725e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.654348e+00, 1.895922e+00, 3.592759e+00, 1.114953e+00, 2.168223e-01],
                              [1.654348e+00, 1.895922e+00, 3.592759e+00, 1.114953e+00, 2.168223e-01],
                           ],
}

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' : [4.861753e-01, 5.083561e-01, 5.987588e-01, 1.262759e+00, 2.807507e-01],
     '_Analysis.yoda.gz' : [5.219084e-01, 6.286323e-01, 2.355823e-01, 1.272184e+00, 1.041782e+00],
    '__Analysis.yoda.gz' : [5.503797e-01, 7.835090e-01, 4.813190e-01, 1.789264e+00, 1.091224e+00],
}

ratio0_yerrs = {
                  'Data' : [
                              [3.633217e-01, 2.903239e-01, 2.858517e-01, 3.854265e-01, 3.740169e-01],
                              [3.736051e-01, 3.016754e-01, 2.959666e-01, 3.948155e-01, 3.816928e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [9.704187e-02, 1.567444e-01, 1.455555e-01, 3.515148e-01, 3.839852e-01],
                              [9.704187e-02, 1.567444e-01, 1.455555e-01, 3.515148e-01, 3.839852e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.166218e-01, 9.287232e-02, 2.725926e-01, 1.517625e-01, 1.548843e-01],
                              [1.166218e-01, 9.287232e-02, 2.725926e-01, 1.517625e-01, 1.548843e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [8.846781e-02, 1.516738e-01, 3.822084e-01, 3.596623e-01, 3.236154e-01],
                              [8.846781e-02, 1.516738e-01, 3.822084e-01, 3.596623e-01, 3.236154e-01],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}