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+00, 2.500000e+00, 3.500000e+00, 5.000000e+00, 8.000000e+00],
      'Analysis.yoda.gz' : [1.500000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00, 8.000000e+00],
     '_Analysis.yoda.gz' : [1.500000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00, 8.000000e+00],
    '__Analysis.yoda.gz' : [1.500000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00, 8.000000e+00],
}

xedges = {
                  'Data' : [1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00, 6.000000e+00,
                            1.000000e+01],
      'Analysis.yoda.gz' : [1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00, 6.000000e+00,
                            1.000000e+01],
     '_Analysis.yoda.gz' : [1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00, 6.000000e+00,
                            1.000000e+01],
    '__Analysis.yoda.gz' : [1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00, 6.000000e+00,
                            1.000000e+01],
}

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' : [5.100000e-01, 2.300000e-01, 1.100000e-01, 3.500000e-02, 2.800000e-03],
      'Analysis.yoda.gz' : [3.555599e-01, 2.344450e-01, 1.159944e-01, 1.874119e-02, 6.319420e-03],
     '_Analysis.yoda.gz' : [3.318324e-01, 2.117134e-01, 8.355817e-02, 4.015592e-02, -2.365628e-03],
    '__Analysis.yoda.gz' : [3.147691e-01, 1.900096e-01, 1.110213e-01, 1.127988e-02, 1.032457e-02],
}

xerrs = {
                  'Data' : [
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                           ],
      'Analysis.yoda.gz' : [
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                           ],
     '_Analysis.yoda.gz' : [
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                              [5.000000e-01, 5.000000e-01, 5.000000e-01, 1.000000e+00, 2.000000e+00],
                           ],
}

yerrs = {
                  'Data' : [
                              [1.600000e-01, 6.000000e-02, 2.700000e-02, 9.300000e-03, 1.700000e-03],
                              [1.600000e-01, 6.000000e-02, 2.700000e-02, 9.300000e-03, 1.700000e-03],
                           ],
      'Analysis.yoda.gz' : [
                              [4.972850e-02, 3.568756e-02, 2.293851e-02, 7.235530e-03, 2.556136e-03],
                              [4.972850e-02, 3.568756e-02, 2.293851e-02, 7.235530e-03, 2.556136e-03],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.607869e-02, 2.146447e-02, 3.343952e-02, 5.982530e-03, 9.000192e-03],
                              [2.607869e-02, 2.146447e-02, 3.343952e-02, 5.982530e-03, 9.000192e-03],
                           ],
    '__Analysis.yoda.gz' : [
                              [3.083427e-02, 2.558368e-02, 1.692542e-02, 2.688517e-02, 2.914901e-03],
                              [3.083427e-02, 2.558368e-02, 1.692542e-02, 2.688517e-02, 2.914901e-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' : [6.971763e-01, 1.019326e+00, 1.054495e+00, 5.354626e-01, 2.256936e+00],
     '_Analysis.yoda.gz' : [6.506518e-01, 9.204930e-01, 7.596197e-01, 1.147312e+00, -8.448671e-01],
    '__Analysis.yoda.gz' : [6.171943e-01, 8.261287e-01, 1.009285e+00, 3.222823e-01, 3.687346e+00],
}

ratio0_yerrs = {
                  'Data' : [
                              [3.137255e-01, 2.608696e-01, 2.454545e-01, 2.657143e-01, 6.071429e-01],
                              [3.137255e-01, 2.608696e-01, 2.454545e-01, 2.657143e-01, 6.071429e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [9.750686e-02, 1.551633e-01, 2.085319e-01, 2.067294e-01, 9.129057e-01],
                              [9.750686e-02, 1.551633e-01, 2.085319e-01, 2.067294e-01, 9.129057e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [5.113469e-02, 9.332378e-02, 3.039956e-01, 1.709294e-01, 3.214354e+00],
                              [5.113469e-02, 9.332378e-02, 3.039956e-01, 1.709294e-01, 3.214354e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [6.045935e-02, 1.112334e-01, 1.538675e-01, 7.681477e-01, 1.041036e+00],
                              [6.045935e-02, 1.112334e-01, 1.538675e-01, 7.681477e-01, 1.041036e+00],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}