
import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [5.000000e-02, 1.500000e-01, 2.500000e-01, 3.500000e-01, 4.750000e-01,
                            6.250000e-01, 8.500000e-01],
      'Analysis.yoda.gz' : [5.000000e-02, 1.500000e-01, 2.500000e-01, 3.500000e-01, 4.500000e-01,
                            6.000000e-01, 8.500000e-01],
     '_Analysis.yoda.gz' : [5.000000e-02, 1.500000e-01, 2.500000e-01, 3.500000e-01, 4.500000e-01,
                            6.000000e-01, 8.500000e-01],
    '__Analysis.yoda.gz' : [5.000000e-02, 1.500000e-01, 2.500000e-01, 3.500000e-01, 4.500000e-01,
                            6.000000e-01, 8.500000e-01],
}

xedges = {
                  'Data' : [0.000000e+00, 1.000000e-01, 2.000000e-01, 3.000000e-01, 4.000000e-01,
                            5.500000e-01, 7.000000e-01, 1.000000e+00],
      'Analysis.yoda.gz' : [0.000000e+00, 1.000000e-01, 2.000000e-01, 3.000000e-01, 4.000000e-01,
                            5.000000e-01, 7.000000e-01, 1.000000e+00],
     '_Analysis.yoda.gz' : [0.000000e+00, 1.000000e-01, 2.000000e-01, 3.000000e-01, 4.000000e-01,
                            5.000000e-01, 7.000000e-01, 1.000000e+00],
    '__Analysis.yoda.gz' : [0.000000e+00, 1.000000e-01, 2.000000e-01, 3.000000e-01, 4.000000e-01,
                            5.000000e-01, 7.000000e-01, 1.000000e+00],
}

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' : [7.658000e+00, 1.939900e+01, 1.429900e+01, 1.226600e+01, 1.321200e+01,
                            6.217000e+00, 1.742000e+00],
      'Analysis.yoda.gz' : [3.461434e+01, 1.001526e+01, 9.297710e+00, 4.909091e+00, 4.471330e+00,
                            4.211630e+00, 2.423504e+00],
     '_Analysis.yoda.gz' : [2.579331e+01, 1.012351e+01, 5.706189e+00, 2.000455e+00, 1.096823e+00,
                            2.313185e+00, 1.424518e+00],
    '__Analysis.yoda.gz' : [1.817888e+01, 1.075845e+01, 8.896376e+00, 4.424580e+00, 8.988397e+00,
                            7.112803e+00, 1.100464e+00],
}

xerrs = {
                  'Data' : [
                              [5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02, 1.000000e-01,
                               5.000000e-02, 1.500000e-01],
                              [5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02,
                               1.000000e-01, 1.500000e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02,
                               1.000000e-01, 1.500000e-01],
                              [5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02,
                               1.000000e-01, 1.500000e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02,
                               1.000000e-01, 1.500000e-01],
                              [5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02,
                               1.000000e-01, 1.500000e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02,
                               1.000000e-01, 1.500000e-01],
                              [5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02, 5.000000e-02,
                               1.000000e-01, 1.500000e-01],
                           ],
}

yerrs = {
                  'Data' : [
                              [2.126870e+00, 4.726153e+00, 2.118336e+00, 2.973120e+00, 2.952675e+00,
                               1.213908e+00, 7.805312e-01],
                              [3.109664e+00, 3.483727e+00, 3.826108e+00, 3.876446e+00, 2.869339e+00,
                               1.689315e+00, 5.396369e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [8.327075e+00, 2.905602e+00, 2.838624e+00, 2.191590e+00, 2.139083e+00,
                               1.224480e+00, 8.189559e-01],
                              [8.327075e+00, 2.905602e+00, 2.838624e+00, 2.191590e+00, 2.139083e+00,
                               1.224480e+00, 8.189559e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [5.927964e+00, 4.012220e+00, 3.645962e+00, 2.384741e+00, 5.671620e+00,
                               1.012420e+00, 5.998634e-01],
                              [5.927964e+00, 4.012220e+00, 3.645962e+00, 2.384741e+00, 5.671620e+00,
                               1.012420e+00, 5.998634e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [5.159076e+00, 3.985010e+00, 2.429196e+00, 4.242110e+00, 2.486116e+00,
                               5.246275e+00, 7.523266e-01],
                              [5.159076e+00, 3.985010e+00, 2.429196e+00, 4.242110e+00, 2.486116e+00,
                               5.246275e+00, 7.523266e-01],
                           ],
}

variation_yvals = {
}



# lists for ratio plot
ratio0_yvals = {
                  'Data' : [1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00,
                            1.000000e+00, 1.000000e+00],
      'Analysis.yoda.gz' : [4.520024e+00, 5.162771e-01, 6.502350e-01, 4.002194e-01, 3.384295e-01,
                            6.774377e-01, 1.391219e+00],
     '_Analysis.yoda.gz' : [3.368152e+00, 5.218573e-01, 3.990621e-01, 1.630894e-01, 8.301718e-02,
                            3.720742e-01, 8.177486e-01],
    '__Analysis.yoda.gz' : [2.373842e+00, 5.545879e-01, 6.221677e-01, 3.607191e-01, 6.803207e-01,
                            1.144089e+00, 6.317245e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [2.777318e-01, 2.436287e-01, 1.481457e-01, 2.423871e-01, 2.234843e-01,
                               1.952562e-01, 4.480661e-01],
                              [4.060674e-01, 1.795828e-01, 2.675787e-01, 3.160318e-01, 2.171767e-01,
                               2.717251e-01, 3.097801e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [1.087369e+00, 1.497810e-01, 1.985191e-01, 1.786719e-01, 1.619046e-01,
                               1.969567e-01, 4.701239e-01],
                              [1.087369e+00, 1.497810e-01, 1.985191e-01, 1.786719e-01, 1.619046e-01,
                               1.969567e-01, 4.701239e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [7.740878e-01, 2.068261e-01, 2.549802e-01, 1.944188e-01, 4.292779e-01,
                               1.628470e-01, 3.443533e-01],
                              [7.740878e-01, 2.068261e-01, 2.549802e-01, 1.944188e-01, 4.292779e-01,
                               1.628470e-01, 3.443533e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [6.736845e-01, 2.054235e-01, 1.698857e-01, 3.458430e-01, 1.881711e-01,
                               8.438596e-01, 4.318752e-01],
                              [6.736845e-01, 2.054235e-01, 1.698857e-01, 3.458430e-01, 1.881711e-01,
                               8.438596e-01, 4.318752e-01],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}
