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' : [3.107000e+00, 2.577000e+00, 1.421000e+00, 5.640000e-01, 9.100000e-02],
      'Analysis.yoda.gz' : [2.163428e+00, 1.227013e+00, 9.173004e-01, 3.389908e-01, 3.466327e-02],
     '_Analysis.yoda.gz' : [2.331777e+00, 1.407271e+00, 9.070257e-01, 3.433244e-01, 2.959812e-02],
    '__Analysis.yoda.gz' : [1.056625e+00, 7.532424e-01, 4.348867e-01, 1.628482e-01, 1.761005e-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' : [
                              [7.698844e-01, 5.312071e-01, 2.579787e-01, 1.165032e-01, 1.838478e-02],
                              [1.448267e+00, 5.876742e-01, 2.498259e-01, 8.909545e-02, 1.702939e-02],
                           ],
      'Analysis.yoda.gz' : [
                              [2.129525e-01, 2.230825e-01, 1.164876e-01, 3.583301e-02, 5.737333e-03],
                              [2.129525e-01, 2.230825e-01, 1.164876e-01, 3.583301e-02, 5.737333e-03],
                           ],
     '_Analysis.yoda.gz' : [
                              [2.210552e-01, 1.644936e-01, 7.774653e-02, 3.264245e-02, 5.497958e-03],
                              [2.210552e-01, 1.644936e-01, 7.774653e-02, 3.264245e-02, 5.497958e-03],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.458979e-02, 1.222142e-02, 6.591611e-03, 3.268746e-03, 5.179504e-04],
                              [1.458979e-02, 1.222142e-02, 6.591611e-03, 3.268746e-03, 5.179504e-04],
                           ],
}

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' : [6.963077e-01, 4.761401e-01, 6.455316e-01, 6.010475e-01, 3.809151e-01],
     '_Analysis.yoda.gz' : [7.504915e-01, 5.460889e-01, 6.383010e-01, 6.087312e-01, 3.252541e-01],
    '__Analysis.yoda.gz' : [3.400789e-01, 2.922943e-01, 3.060427e-01, 2.887379e-01, 1.935170e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [2.477903e-01, 2.061339e-01, 1.815473e-01, 2.065660e-01, 2.020305e-01],
                              [4.661303e-01, 2.280459e-01, 1.758100e-01, 1.579707e-01, 1.871361e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [6.853959e-02, 8.656674e-02, 8.197579e-02, 6.353371e-02, 6.304762e-02],
                              [6.853959e-02, 8.656674e-02, 8.197579e-02, 6.353371e-02, 6.304762e-02],
                           ],
     '_Analysis.yoda.gz' : [
                              [7.114747e-02, 6.383143e-02, 5.471255e-02, 5.787668e-02, 6.041712e-02],
                              [7.114747e-02, 6.383143e-02, 5.471255e-02, 5.787668e-02, 6.041712e-02],
                           ],
    '__Analysis.yoda.gz' : [
                              [4.695780e-03, 4.742499e-03, 4.638713e-03, 5.795649e-03, 5.691763e-03],
                              [4.695780e-03, 4.742499e-03, 4.638713e-03, 5.795649e-03, 5.691763e-03],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}