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' : [9.200000e-01, 3.580000e-01, 1.420000e-01, 6.500000e-02, 1.240000e-02],
      'Analysis.yoda.gz' : [9.737393e-01, 4.223427e-01, 1.705517e-01, 6.401749e-02, 1.663147e-02],
     '_Analysis.yoda.gz' : [8.673519e-02, -6.708097e-02, 1.613943e-01, 5.124267e-02, 1.438728e-02],
    '__Analysis.yoda.gz' : [2.526189e-02, -3.734745e-01, 1.166497e-01, 7.936755e-02, 1.655730e-02],
}

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' : [
                              [9.433981e-02, 3.361547e-02, 1.500000e-02, 7.211103e-03, 1.421267e-03],
                              [8.602325e-02, 3.106445e-02, 1.500000e-02, 6.403124e-03, 1.664332e-03],
                           ],
      'Analysis.yoda.gz' : [
                              [8.025753e-02, 2.659054e-02, 1.333515e-02, 5.891319e-03, 9.586598e-04],
                              [8.025753e-02, 2.659054e-02, 1.333515e-02, 5.891319e-03, 9.586598e-04],
                           ],
     '_Analysis.yoda.gz' : [
                              [3.896214e-01, 3.059438e-01, 2.391569e-02, 1.120327e-02, 1.923688e-03],
                              [3.896214e-01, 3.059438e-01, 2.391569e-02, 1.120327e-02, 1.923688e-03],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.457025e-01, 5.068302e-01, 3.139405e-02, 9.602891e-03, 1.139328e-03],
                              [2.457025e-01, 5.068302e-01, 3.139405e-02, 9.602891e-03, 1.139328e-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' : [1.058412e+00, 1.179728e+00, 1.201068e+00, 9.848845e-01, 1.341248e+00],
     '_Analysis.yoda.gz' : [9.427738e-02, -1.873770e-01, 1.136580e+00, 7.883488e-01, 1.160265e+00],
    '__Analysis.yoda.gz' : [2.745858e-02, -1.043225e+00, 8.214768e-01, 1.221039e+00, 1.335266e+00],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.025433e-01, 9.389797e-02, 1.056338e-01, 1.109400e-01, 1.146183e-01],
                              [9.350354e-02, 8.677220e-02, 1.056338e-01, 9.850960e-02, 1.342203e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [8.723645e-02, 7.427525e-02, 9.390951e-02, 9.063568e-02, 7.731127e-02],
                              [8.723645e-02, 7.427525e-02, 9.390951e-02, 9.063568e-02, 7.731127e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [4.235015e-01, 8.545916e-01, 1.684204e-01, 1.723580e-01, 1.551361e-01],
                              [4.235015e-01, 8.545916e-01, 1.684204e-01, 1.723580e-01, 1.551361e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.670679e-01, 1.415727e+00, 2.210849e-01, 1.477368e-01, 9.188129e-02],
                              [2.670679e-01, 1.415727e+00, 2.210849e-01, 1.477368e-01, 9.188129e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}