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' : [8.888049e+00, 7.866850e+00, 7.020274e+00, 3.840644e+00, 7.153508e-01],
     '_Analysis.yoda.gz' : [9.091479e+00, 6.354451e+00, 5.628333e+00, 3.914552e+00, 1.881030e-01],
    '__Analysis.yoda.gz' : [4.612800e+00, 4.359193e+00, 3.492420e+00, 2.126119e+00, 3.530554e-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' : [
                              [5.027092e-01, 4.325319e-01, 4.687287e-01, 3.085718e-01, 9.451560e-02],
                              [5.027092e-01, 4.325319e-01, 4.687287e-01, 3.085718e-01, 9.451560e-02],
                           ],
     '_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' : [
                              [5.494380e-02, 5.123511e-02, 4.613798e-02, 3.663016e-02, 1.076264e-02],
                              [5.494380e-02, 5.123511e-02, 4.613798e-02, 3.663016e-02, 1.076264e-02],
                           ],
}

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' : [4.752967e-01, 6.293480e-01, 7.468377e-01, 1.238917e+00, 1.067688e+00],
     '_Analysis.yoda.gz' : [4.861753e-01, 5.083561e-01, 5.987588e-01, 1.262759e+00, 2.807507e-01],
    '__Analysis.yoda.gz' : [2.466738e-01, 3.487354e-01, 3.715340e-01, 6.858448e-01, 5.269484e-01],
}

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' : [
                              [2.688284e-02, 3.460255e-02, 4.986476e-02, 9.953929e-02, 1.410681e-01],
                              [2.688284e-02, 3.460255e-02, 4.986476e-02, 9.953929e-02, 1.410681e-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' : [
                              [2.938171e-03, 4.098809e-03, 4.908296e-03, 1.181618e-02, 1.606364e-02],
                              [2.938171e-03, 4.098809e-03, 4.908296e-03, 1.181618e-02, 1.606364e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}