import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [3.110000e+00, 7.110000e+00, 1.390000e+01, 2.475000e+01, 6.585000e+01],
      'Analysis.yoda.gz' : [3.110000e+00, 7.110000e+00, 1.390000e+01, 2.475000e+01, 6.585000e+01],
     '_Analysis.yoda.gz' : [3.110000e+00, 7.110000e+00, 1.390000e+01, 2.475000e+01, 6.585000e+01],
    '__Analysis.yoda.gz' : [3.110000e+00, 7.110000e+00, 1.390000e+01, 2.475000e+01, 6.585000e+01],
}

xedges = {
                  'Data' : [2.000000e+00, 4.220000e+00, 1.000000e+01, 1.780000e+01, 3.170000e+01,
                            1.000000e+02],
      'Analysis.yoda.gz' : [2.000000e+00, 4.220000e+00, 1.000000e+01, 1.780000e+01, 3.170000e+01,
                            1.000000e+02],
     '_Analysis.yoda.gz' : [2.000000e+00, 4.220000e+00, 1.000000e+01, 1.780000e+01, 3.170000e+01,
                            1.000000e+02],
    '__Analysis.yoda.gz' : [2.000000e+00, 4.220000e+00, 1.000000e+01, 1.780000e+01, 3.170000e+01,
                            1.000000e+02],
}

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' : [5.400000e-01, 1.810000e-01, 6.900000e-02, 3.100000e-02, 5.800000e-03],
      'Analysis.yoda.gz' : [5.860929e-01, 2.373225e-01, 8.866236e-02, 3.679210e-02, 9.458793e-03],
     '_Analysis.yoda.gz' : [-1.227304e-01, 1.656854e-01, 7.699159e-02, 1.829190e-02, 6.483566e-03],
    '__Analysis.yoda.gz' : [-1.287746e-01, 2.179849e-02, 2.894957e-02, 3.537148e-02, 7.567130e-03],
}

xerrs = {
                  'Data' : [
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                           ],
      'Analysis.yoda.gz' : [
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                              [1.110000e+00, 2.890000e+00, 3.900000e+00, 6.950000e+00, 3.415000e+01],
                           ],
}

yerrs = {
                  'Data' : [
                              [5.830952e-02, 2.147091e-02, 9.433981e-03, 5.000000e-03, 1.029563e-03],
                              [5.000000e-02, 2.325941e-02, 7.071068e-03, 4.242641e-03, 1.118034e-03],
                           ],
      'Analysis.yoda.gz' : [
                              [5.942058e-02, 2.061448e-02, 9.690598e-03, 4.416618e-03, 7.606755e-04],
                              [5.942058e-02, 2.061448e-02, 9.690598e-03, 4.416618e-03, 7.606755e-04],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.970808e-01, 5.462653e-02, 1.919719e-02, 9.053803e-03, 1.650580e-03],
                              [2.970808e-01, 5.462653e-02, 1.919719e-02, 9.053803e-03, 1.650580e-03],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.327531e-01, 6.226821e-02, 2.995240e-02, 7.040225e-03, 8.819075e-04],
                              [2.327531e-01, 6.226821e-02, 2.995240e-02, 7.040225e-03, 8.819075e-04],
                           ],
}

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' : [1.085357e+00, 1.311174e+00, 1.284962e+00, 1.186842e+00, 1.630826e+00],
     '_Analysis.yoda.gz' : [-2.272785e-01, 9.153890e-01, 1.115820e+00, 5.900613e-01, 1.117856e+00],
    '__Analysis.yoda.gz' : [-2.384715e-01, 1.204336e-01, 4.195590e-01, 1.141015e+00, 1.304678e+00],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.079806e-01, 1.186238e-01, 1.367244e-01, 1.612903e-01, 1.775109e-01],
                              [9.259259e-02, 1.285050e-01, 1.024792e-01, 1.368594e-01, 1.927645e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [1.100381e-01, 1.138922e-01, 1.404434e-01, 1.424715e-01, 1.311509e-01],
                              [1.100381e-01, 1.138922e-01, 1.404434e-01, 1.424715e-01, 1.311509e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [5.501496e-01, 3.018040e-01, 2.782201e-01, 2.920582e-01, 2.845828e-01],
                              [5.501496e-01, 3.018040e-01, 2.782201e-01, 2.920582e-01, 2.845828e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [4.310243e-01, 3.440233e-01, 4.340928e-01, 2.271040e-01, 1.520530e-01],
                              [4.310243e-01, 3.440233e-01, 4.340928e-01, 2.271040e-01, 1.520530e-01],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}