import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [1.750000e+00, 2.250000e+00, 3.000000e+00, 4.250000e+00, 7.500000e+00],
      'Analysis.yoda.gz' : [1.750000e+00, 2.250000e+00, 3.000000e+00, 4.250000e+00, 7.500000e+00],
     '_Analysis.yoda.gz' : [1.750000e+00, 2.250000e+00, 3.000000e+00, 4.250000e+00, 7.500000e+00],
    '__Analysis.yoda.gz' : [1.750000e+00, 2.250000e+00, 3.000000e+00, 4.250000e+00, 7.500000e+00],
}

xedges = {
                  'Data' : [1.500000e+00, 2.000000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00,
                            1.000000e+01],
      'Analysis.yoda.gz' : [1.500000e+00, 2.000000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00,
                            1.000000e+01],
     '_Analysis.yoda.gz' : [1.500000e+00, 2.000000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+00,
                            1.000000e+01],
    '__Analysis.yoda.gz' : [1.500000e+00, 2.000000e+00, 2.500000e+00, 3.500000e+00, 5.000000e+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' : [3.300000e+00, 3.160000e+00, 1.920000e+00, 7.900000e-01, 1.040000e-01],
      'Analysis.yoda.gz' : [4.186453e+00, 3.840559e+00, 2.338495e+00, 9.636481e-01, 1.149636e-01],
     '_Analysis.yoda.gz' : [-5.554769e-01, 1.461410e+00, 1.851672e+00, 1.976874e-01, 8.092830e-02],
    '__Analysis.yoda.gz' : [3.998222e+00, 9.487615e-01, -1.731692e+00, 4.053394e-01, -1.643108e-02],
}

xerrs = {
                  'Data' : [
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                           ],
      'Analysis.yoda.gz' : [
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                              [2.500000e-01, 2.500000e-01, 5.000000e-01, 7.500000e-01, 2.500000e+00],
                           ],
}

yerrs = {
                  'Data' : [
                              [4.242641e-01, 3.689173e-01, 1.878829e-01, 8.062258e-02, 1.140175e-02],
                              [5.830952e-01, 3.047950e-01, 1.526434e-01, 7.211103e-02, 1.220656e-02],
                           ],
      'Analysis.yoda.gz' : [
                              [3.290930e-01, 2.758845e-01, 1.423661e-01, 7.251904e-02, 1.314291e-02],
                              [3.290930e-01, 2.758845e-01, 1.423661e-01, 7.251904e-02, 1.314291e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [3.667434e+00, 1.129107e+00, 3.088646e-01, 2.665322e-01, 3.313065e-02],
                              [3.667434e+00, 1.129107e+00, 3.088646e-01, 2.665322e-01, 3.313065e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [8.668836e-01, 8.122109e-01, 2.912894e+00, 1.975773e-01, 4.923036e-02],
                              [8.668836e-01, 8.122109e-01, 2.912894e+00, 1.975773e-01, 4.923036e-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' : [1.268622e+00, 1.215367e+00, 1.217966e+00, 1.219808e+00, 1.105419e+00],
     '_Analysis.yoda.gz' : [-1.683263e-01, 4.624715e-01, 9.644125e-01, 2.502372e-01, 7.781567e-01],
    '__Analysis.yoda.gz' : [1.211582e+00, 3.002410e-01, -9.019229e-01, 5.130878e-01, -1.579912e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.285649e-01, 1.167460e-01, 9.785570e-02, 1.020539e-01, 1.096323e-01],
                              [1.766955e-01, 9.645412e-02, 7.950176e-02, 9.127978e-02, 1.173707e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [9.972515e-02, 8.730522e-02, 7.414901e-02, 9.179625e-02, 1.263741e-01],
                              [9.972515e-02, 8.730522e-02, 7.414901e-02, 9.179625e-02, 1.263741e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.111344e+00, 3.573123e-01, 1.608670e-01, 3.373825e-01, 3.185639e-01],
                              [1.111344e+00, 3.573123e-01, 1.608670e-01, 3.373825e-01, 3.185639e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [2.626920e-01, 2.570288e-01, 1.517132e+00, 2.500978e-01, 4.733688e-01],
                              [2.626920e-01, 2.570288e-01, 1.517132e+00, 2.500978e-01, 4.733688e-01],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}