import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [1.500000e-01, 5.500000e-01, 1.100000e+00, 1.700000e+00, 3.000000e+00],
      'Analysis.yoda.gz' : [1.500000e-01, 5.500000e-01, 1.100000e+00, 1.700000e+00, 3.000000e+00],
     '_Analysis.yoda.gz' : [1.500000e-01, 5.500000e-01, 1.100000e+00, 1.700000e+00, 3.000000e+00],
    '__Analysis.yoda.gz' : [1.500000e-01, 5.500000e-01, 1.100000e+00, 1.700000e+00, 3.000000e+00],
}

xedges = {
                  'Data' : [0.000000e+00, 3.000000e-01, 8.000000e-01, 1.400000e+00, 2.000000e+00,
                            4.000000e+00],
      'Analysis.yoda.gz' : [0.000000e+00, 3.000000e-01, 8.000000e-01, 1.400000e+00, 2.000000e+00,
                            4.000000e+00],
     '_Analysis.yoda.gz' : [0.000000e+00, 3.000000e-01, 8.000000e-01, 1.400000e+00, 2.000000e+00,
                            4.000000e+00],
    '__Analysis.yoda.gz' : [0.000000e+00, 3.000000e-01, 8.000000e-01, 1.400000e+00, 2.000000e+00,
                            4.000000e+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' : [9.000000e-01, 8.200000e-01, 6.400000e-01, 3.600000e-01, 7.000000e-02],
      'Analysis.yoda.gz' : [1.099877e+00, 7.127781e-01, 3.310946e-01, 1.661511e-01, -5.634645e-03],
     '_Analysis.yoda.gz' : [1.040499e+00, 4.117208e-01, 4.084924e-01, 2.092923e-01, 1.281844e-02],
    '__Analysis.yoda.gz' : [5.625153e-01, 2.829907e-01, 2.223103e-01, 9.311311e-02, 3.649676e-03],
}

xerrs = {
                  'Data' : [
                              [1.500000e-01, 2.500000e-01, 3.000000e-01, 3.000000e-01, 1.000000e+00],
                              [1.500000e-01, 2.500000e-01, 3.000000e-01, 3.000000e-01, 1.000000e+00],
                           ],
      'Analysis.yoda.gz' : [
                              [1.500000e-01, 2.500000e-01, 3.000000e-01, 3.000000e-01, 1.000000e+00],
                              [1.500000e-01, 2.500000e-01, 3.000000e-01, 3.000000e-01, 1.000000e+00],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.500000e-01, 2.500000e-01, 3.000000e-01, 3.000000e-01, 1.000000e+00],
                              [1.500000e-01, 2.500000e-01, 3.000000e-01, 3.000000e-01, 1.000000e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.500000e-01, 2.500000e-01, 3.000000e-01, 3.000000e-01, 1.000000e+00],
                              [1.500000e-01, 2.500000e-01, 3.000000e-01, 3.000000e-01, 1.000000e+00],
                           ],
}

yerrs = {
                  'Data' : [
                              [1.562050e-01, 1.140175e-01, 1.140175e-01, 6.403124e-02, 1.523155e-02],
                              [3.417601e-01, 1.081665e-01, 1.565248e-01, 5.830952e-02, 2.778489e-02],
                           ],
      'Analysis.yoda.gz' : [
                              [1.464604e-01, 1.196837e-01, 9.045430e-02, 3.435677e-02, 1.035230e-02],
                              [1.464604e-01, 1.196837e-01, 9.045430e-02, 3.435677e-02, 1.035230e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.897224e-01, 1.093248e-01, 7.302953e-02, 4.630212e-02, 6.470571e-03],
                              [1.897224e-01, 1.093248e-01, 7.302953e-02, 4.630212e-02, 6.470571e-03],
                           ],
    '__Analysis.yoda.gz' : [
                              [3.991217e-02, 2.169916e-02, 1.927583e-02, 1.303297e-02, 1.099390e-03],
                              [3.991217e-02, 2.169916e-02, 1.927583e-02, 1.303297e-02, 1.099390e-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' : [1.222086e+00, 8.692416e-01, 5.173353e-01, 4.615308e-01, -8.049493e-02],
     '_Analysis.yoda.gz' : [1.156110e+00, 5.020985e-01, 6.382694e-01, 5.813675e-01, 1.831206e-01],
    '__Analysis.yoda.gz' : [6.250170e-01, 3.451106e-01, 3.473598e-01, 2.586475e-01, 5.213823e-02],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.735611e-01, 1.390458e-01, 1.781524e-01, 1.778646e-01, 2.175935e-01],
                              [3.797335e-01, 1.319104e-01, 2.445699e-01, 1.619709e-01, 3.969270e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [1.627338e-01, 1.459557e-01, 1.413348e-01, 9.543547e-02, 1.478900e-01],
                              [1.627338e-01, 1.459557e-01, 1.413348e-01, 9.543547e-02, 1.478900e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.108027e-01, 1.333229e-01, 1.141086e-01, 1.286170e-01, 9.243673e-02],
                              [2.108027e-01, 1.333229e-01, 1.141086e-01, 1.286170e-01, 9.243673e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [4.434686e-02, 2.646239e-02, 3.011848e-02, 3.620269e-02, 1.570557e-02],
                              [4.434686e-02, 2.646239e-02, 3.011848e-02, 3.620269e-02, 1.570557e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}