import numpy as np
from numpy import nan, inf

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

xpoints = {
                  'Data' : [3.760000e-05, 7.505000e-05, 1.290000e-04, 2.045000e-04, 3.760000e-04],
      'Analysis.yoda.gz' : [3.760000e-05, 7.505000e-05, 1.290000e-04, 2.045000e-04, 3.760000e-04],
     '_Analysis.yoda.gz' : [3.760000e-05, 7.505000e-05, 1.290000e-04, 2.045000e-04, 3.760000e-04],
    '__Analysis.yoda.gz' : [3.760000e-05, 7.505000e-05, 1.290000e-04, 2.045000e-04, 3.760000e-04],
}

xedges = {
                  'Data' : [2.510000e-05, 5.010000e-05, 1.000000e-04, 1.580000e-04, 2.510000e-04,
                            5.010000e-04],
      'Analysis.yoda.gz' : [2.510000e-05, 5.010000e-05, 1.000000e-04, 1.580000e-04, 2.510000e-04,
                            5.010000e-04],
     '_Analysis.yoda.gz' : [2.510000e-05, 5.010000e-05, 1.000000e-04, 1.580000e-04, 2.510000e-04,
                            5.010000e-04],
    '__Analysis.yoda.gz' : [2.510000e-05, 5.010000e-05, 1.000000e-04, 1.580000e-04, 2.510000e-04,
                            5.010000e-04],
}

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' : [2.315000e+03, 5.432000e+03, 4.160000e+03, 2.154000e+03, 7.410000e+02],
      'Analysis.yoda.gz' : [3.554755e+03, 6.099300e+03, 3.285566e+03, 1.622631e+03, 8.537622e+02],
     '_Analysis.yoda.gz' : [3.496456e+03, 4.954895e+03, 3.908265e+03, 1.957296e+03, 7.568722e+02],
    '__Analysis.yoda.gz' : [1.320967e+03, 2.455704e+03, 1.857441e+03, 1.057931e+03, 4.153109e+02],
}

xerrs = {
                  'Data' : [
                              [1.250000e-05, 2.495000e-05, 2.900000e-05, 4.650000e-05, 1.250000e-04],
                              [1.250000e-05, 2.495000e-05, 2.900000e-05, 4.650000e-05, 1.250000e-04],
                           ],
      'Analysis.yoda.gz' : [
                              [1.250000e-05, 2.495000e-05, 2.900000e-05, 4.650000e-05, 1.250000e-04],
                              [1.250000e-05, 2.495000e-05, 2.900000e-05, 4.650000e-05, 1.250000e-04],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.250000e-05, 2.495000e-05, 2.900000e-05, 4.650000e-05, 1.250000e-04],
                              [1.250000e-05, 2.495000e-05, 2.900000e-05, 4.650000e-05, 1.250000e-04],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.250000e-05, 2.495000e-05, 2.900000e-05, 4.650000e-05, 1.250000e-04],
                              [1.250000e-05, 2.495000e-05, 2.900000e-05, 4.650000e-05, 1.250000e-04],
                           ],
}

yerrs = {
                  'Data' : [
                              [7.646967e+02, 8.051397e+02, 5.119629e+02, 4.069717e+02, 1.113957e+02],
                              [6.411310e+02, 6.504683e+02, 4.809168e+02, 2.849860e+02, 1.304837e+02],
                           ],
      'Analysis.yoda.gz' : [
                              [6.075230e+02, 7.549317e+02, 5.178158e+02, 3.549794e+02, 9.311737e+01],
                              [6.075230e+02, 7.549317e+02, 5.178158e+02, 3.549794e+02, 9.311737e+01],
                           ],
     '_Analysis.yoda.gz' : [
                              [1.147837e+03, 8.879271e+02, 6.827650e+02, 3.620416e+02, 1.188866e+02],
                              [1.147837e+03, 8.879271e+02, 6.827650e+02, 3.620416e+02, 1.188866e+02],
                           ],
    '__Analysis.yoda.gz' : [
                              [1.193021e+02, 1.261884e+02, 1.012274e+02, 6.090447e+01, 2.383205e+01],
                              [1.193021e+02, 1.261884e+02, 1.012274e+02, 6.090447e+01, 2.383205e+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],
      'Analysis.yoda.gz' : [1.535531e+00, 1.122846e+00, 7.897995e-01, 7.533106e-01, 1.152176e+00],
     '_Analysis.yoda.gz' : [1.510348e+00, 9.121677e-01, 9.394868e-01, 9.086797e-01, 1.021420e+00],
    '__Analysis.yoda.gz' : [5.706121e-01, 4.520810e-01, 4.465002e-01, 4.911472e-01, 5.604735e-01],
}

ratio0_yerrs = {
                  'Data' : [
                              [3.303225e-01, 1.482216e-01, 1.230680e-01, 1.889377e-01, 1.503316e-01],
                              [2.769465e-01, 1.197475e-01, 1.156050e-01, 1.323055e-01, 1.760914e-01],
                           ],
      'Analysis.yoda.gz' : [
                              [2.624289e-01, 1.389786e-01, 1.244750e-01, 1.648001e-01, 1.256645e-01],
                              [2.624289e-01, 1.389786e-01, 1.244750e-01, 1.648001e-01, 1.256645e-01],
                           ],
     '_Analysis.yoda.gz' : [
                              [4.958259e-01, 1.634623e-01, 1.641262e-01, 1.680787e-01, 1.604408e-01],
                              [4.958259e-01, 1.634623e-01, 1.641262e-01, 1.680787e-01, 1.604408e-01],
                           ],
    '__Analysis.yoda.gz' : [
                              [5.153438e-02, 2.323056e-02, 2.433351e-02, 2.827506e-02, 3.216201e-02],
                              [5.153438e-02, 2.323056e-02, 2.433351e-02, 2.827506e-02, 3.216201e-02],
                           ],
}

ratio0_variation_vals = {
}

ratio_band_edges = {
}