import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [1.950000e+00, 2.750000e+00, 3.550000e+00, 5.000000e+00, 1.050000e+01],
      'Analysis.yoda.gz' : [1.950000e+00, 2.750000e+00, 3.550000e+00, 5.000000e+00, 1.050000e+01],
     '_Analysis.yoda.gz' : [1.950000e+00, 2.750000e+00, 3.550000e+00, 5.000000e+00, 1.050000e+01],
    '__Analysis.yoda.gz' : [1.950000e+00, 2.750000e+00, 3.550000e+00, 5.000000e+00, 1.050000e+01],
}

xedges = {
                  'Data' : [1.500000e+00, 2.400000e+00, 3.100000e+00, 4.000000e+00, 6.000000e+00,
                            1.500000e+01],
      'Analysis.yoda.gz' : [1.500000e+00, 2.400000e+00, 3.100000e+00, 4.000000e+00, 6.000000e+00,
                            1.500000e+01],
     '_Analysis.yoda.gz' : [1.500000e+00, 2.400000e+00, 3.100000e+00, 4.000000e+00, 6.000000e+00,
                            1.500000e+01],
    '__Analysis.yoda.gz' : [1.500000e+00, 2.400000e+00, 3.100000e+00, 4.000000e+00, 6.000000e+00,
                            1.500000e+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' : [2.900000e+00, 2.490000e+00, 1.350000e+00, 5.300000e-01, 5.800000e-02],
      'Analysis.yoda.gz' : [4.365639e+00, 2.471503e+00, 1.685840e+00, 5.962114e-01, 3.821541e-02],
     '_Analysis.yoda.gz' : [-1.262570e-01, 1.080665e+00, 1.117934e+00, 3.452433e-01, -4.712218e-02],
    '__Analysis.yoda.gz' : [4.953693e+00, 1.887658e+00, 1.058675e+00, 6.304480e-01, 3.394135e-02],
}

xerrs = {
                  'Data' : [
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                           ],
      'Analysis.yoda.gz' : [
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                           ],
     '_Analysis.yoda.gz' : [
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                              [4.500000e-01, 3.500000e-01, 4.500000e-01, 1.000000e+00, 4.500000e+00],
                           ],
}

yerrs = {
                  'Data' : [
                              [5.197115e-01, 4.455334e-01, 2.267157e-01, 5.385165e-02, 1.140175e-02],
                              [5.197115e-01, 4.244997e-01, 2.051828e-01, 5.830952e-02, 1.389244e-02],
                           ],
      'Analysis.yoda.gz' : [
                              [3.377491e-01, 3.656341e-01, 2.139038e-01, 7.628717e-02, 6.253502e-03],
                              [3.377491e-01, 3.656341e-01, 2.139038e-01, 7.628717e-02, 6.253502e-03],
                           ],
     '_Analysis.yoda.gz' : [
                              [3.761545e+00, 1.853085e+00, 9.154087e-01, 2.103183e-01, 8.248344e-02],
                              [3.761545e+00, 1.853085e+00, 9.154087e-01, 2.103183e-01, 8.248344e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [4.940243e-01, 4.386496e-01, 1.627888e-01, 1.193993e-01, 8.031500e-03],
                              [4.940243e-01, 4.386496e-01, 1.627888e-01, 1.193993e-01, 8.031500e-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' : [1.505393e+00, 9.925715e-01, 1.248770e+00, 1.124927e+00, 6.588864e-01],
     '_Analysis.yoda.gz' : [-4.353690e-02, 4.340020e-01, 8.280993e-01, 6.514025e-01, -8.124514e-01],
    '__Analysis.yoda.gz' : [1.708170e+00, 7.580956e-01, 7.842037e-01, 1.189525e+00, 5.851957e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [1.792109e-01, 1.789291e-01, 1.679376e-01, 1.016069e-01, 1.965819e-01],
                              [1.792109e-01, 1.704818e-01, 1.519873e-01, 1.100180e-01, 2.395248e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [1.164652e-01, 1.468410e-01, 1.584473e-01, 1.439381e-01, 1.078190e-01],
                              [1.164652e-01, 1.468410e-01, 1.584473e-01, 1.439381e-01, 1.078190e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.297084e+00, 7.442108e-01, 6.780805e-01, 3.968270e-01, 1.422128e+00],
                              [1.297084e+00, 7.442108e-01, 6.780805e-01, 3.968270e-01, 1.422128e+00],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.703532e-01, 1.761645e-01, 1.205843e-01, 2.252817e-01, 1.384741e-01],
                              [1.703532e-01, 1.761645e-01, 1.205843e-01, 2.252817e-01, 1.384741e-01],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}