import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [2.500000e+00, 4.000000e+00, 6.500000e+00, 1.200000e+01, 2.800000e+01],
      'Analysis.yoda.gz' : [2.500000e+00, 4.000000e+00, 6.500000e+00, 1.200000e+01, 2.800000e+01],
     '_Analysis.yoda.gz' : [2.500000e+00, 4.000000e+00, 6.500000e+00, 1.200000e+01, 2.800000e+01],
    '__Analysis.yoda.gz' : [2.500000e+00, 4.000000e+00, 6.500000e+00, 1.200000e+01, 2.800000e+01],
}

xedges = {
                  'Data' : [2.000000e+00, 3.000000e+00, 5.000000e+00, 8.000000e+00, 1.600000e+01,
                            4.000000e+01],
      'Analysis.yoda.gz' : [2.000000e+00, 3.000000e+00, 5.000000e+00, 8.000000e+00, 1.600000e+01,
                            4.000000e+01],
     '_Analysis.yoda.gz' : [2.000000e+00, 3.000000e+00, 5.000000e+00, 8.000000e+00, 1.600000e+01,
                            4.000000e+01],
    '__Analysis.yoda.gz' : [2.000000e+00, 3.000000e+00, 5.000000e+00, 8.000000e+00, 1.600000e+01,
                            4.000000e+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' : [8.420000e-01, 5.030000e-01, 3.710000e-01, 1.620000e-01, 4.600000e-02],
      'Analysis.yoda.gz' : [6.212839e-01, 3.499213e-01, 1.885682e-01, 8.755303e-02, 2.612937e-02],
     '_Analysis.yoda.gz' : [-4.304960e-01, 9.046126e-02, 1.625748e-01, 8.453277e-02, 2.835754e-02],
    '__Analysis.yoda.gz' : [-9.425025e-02, 9.654856e-02, 1.297295e-01, 3.560588e-02, 1.472659e-02],
}

xerrs = {
                  'Data' : [
                              [5.000000e-01, 1.000000e+00, 1.500000e+00, 4.000000e+00, 1.200000e+01],
                              [5.000000e-01, 1.000000e+00, 1.500000e+00, 4.000000e+00, 1.200000e+01],
                           ],
      'Analysis.yoda.gz' : [
                              [5.000000e-01, 1.000000e+00, 1.500000e+00, 4.000000e+00, 1.200000e+01],
                              [5.000000e-01, 1.000000e+00, 1.500000e+00, 4.000000e+00, 1.200000e+01],
                           ],
     '_Analysis.yoda.gz' : [
                              [5.000000e-01, 1.000000e+00, 1.500000e+00, 4.000000e+00, 1.200000e+01],
                              [5.000000e-01, 1.000000e+00, 1.500000e+00, 4.000000e+00, 1.200000e+01],
                           ],
    '__Analysis.yoda.gz' : [
                              [5.000000e-01, 1.000000e+00, 1.500000e+00, 4.000000e+00, 1.200000e+01],
                              [5.000000e-01, 1.000000e+00, 1.500000e+00, 4.000000e+00, 1.200000e+01],
                           ],
}

yerrs = {
                  'Data' : [
                              [2.128403e-01, 1.053803e-01, 7.158911e-02, 3.201562e-02, 1.000000e-02],
                              [1.862310e-01, 1.177964e-01, 7.851751e-02, 3.280244e-02, 8.485281e-03],
                           ],
      'Analysis.yoda.gz' : [
                              [7.468724e-02, 3.947803e-02, 2.222111e-02, 1.116813e-02, 2.376922e-03],
                              [7.468724e-02, 3.947803e-02, 2.222111e-02, 1.116813e-02, 2.376922e-03],
                           ],
     '_Analysis.yoda.gz' : [
                              [5.012519e-01, 1.888435e-01, 4.007262e-02, 1.637581e-02, 4.460885e-03],
                              [5.012519e-01, 1.888435e-01, 4.007262e-02, 1.637581e-02, 4.460885e-03],
                           ],
    '__Analysis.yoda.gz' : [
                              [4.383423e-01, 1.904124e-01, 5.552349e-02, 3.392435e-02, 1.322797e-02],
                              [4.383423e-01, 1.904124e-01, 5.552349e-02, 3.392435e-02, 1.322797e-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' : [7.378669e-01, 6.956686e-01, 5.082701e-01, 5.404508e-01, 5.680298e-01],
     '_Analysis.yoda.gz' : [-5.112779e-01, 1.798435e-01, 4.382070e-01, 5.218072e-01, 6.164683e-01],
    '__Analysis.yoda.gz' : [-1.119362e-01, 1.919454e-01, 3.496752e-01, 2.197894e-01, 3.201433e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [2.527795e-01, 2.095035e-01, 1.929625e-01, 1.976273e-01, 2.173913e-01],
                              [2.211770e-01, 2.341877e-01, 2.116375e-01, 2.024842e-01, 1.844626e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [8.870219e-02, 7.848515e-02, 5.989518e-02, 6.893907e-02, 5.167222e-02],
                              [8.870219e-02, 7.848515e-02, 5.989518e-02, 6.893907e-02, 5.167222e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [5.953110e-01, 3.754344e-01, 1.080125e-01, 1.010852e-01, 9.697576e-02],
                              [5.953110e-01, 3.754344e-01, 1.080125e-01, 1.010852e-01, 9.697576e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [5.205966e-01, 3.785535e-01, 1.496590e-01, 2.094096e-01, 2.875646e-01],
                              [5.205966e-01, 3.785535e-01, 1.496590e-01, 2.094096e-01, 2.875646e-01],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}