optimization_penalty(not_in_use).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: DEPRECATED: Using __getitem__ to return a set value from its\n",
      "    (ordered) position is deprecated.  Please use at()  (deprecated in 6.1,\n",
      "    will be removed in (or after) 7.0) (called from\n",
      "    C:\\Users\\mattm\\AppData\\Local\\Temp\\ipykernel_31320\\1555704091.py:178)\n",
      "Total cost: 6.65\n",
      "Model unknown\n",
      "\n",
      "  Variables:\n",
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      "    ehp_E_input : Size=48, Index=TS\n",
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      "         25 :     0 :     2.7818234404349145 :  13.5 : False : False :  Reals\n",
      "         26 :     0 :     3.6488503773227583 :  13.5 : False : False :  Reals\n",
      "         27 :     0 :     4.7197609182240985 :  13.5 : False : False :  Reals\n",
      "         28 :     0 :         5.501203499754 :  13.5 : False : False :  Reals\n",
      "         29 :     0 :      6.423257814700167 :  13.5 : False : False :  Reals\n",
      "         30 :     0 :      7.398589774561612 :  13.5 : False : False :  Reals\n",
      "         31 :     0 :       8.43969883302859 :  13.5 : False : False :  Reals\n",
      "         32 :     0 :      9.341618003085676 :  13.5 : False : False :  Reals\n",
      "         33 :     0 :     10.302243413036045 :  13.5 : False : False :  Reals\n",
      "         34 :     0 :      11.20906011854325 :  13.5 : False : False :  Reals\n",
      "         35 :     0 :      11.96086714454215 :  13.5 : False : False :  Reals\n",
      "         36 :     0 :     12.707047659590748 :  13.5 : False : False :  Reals\n",
      "         37 :     0 :     13.228606629184773 :  13.5 : False : False :  Reals\n",
      "         38 :     0 :                   13.5 :  13.5 : False : False :  Reals\n",
      "         39 :     0 :     13.108282127455585 :  13.5 : False : False :  Reals\n",
      "         40 :     0 :     12.435650760635484 :  13.5 : False : False :  Reals\n",
      "         41 :     0 :     11.593290963803756 :  13.5 : False : False :  Reals\n",
      "         42 :     0 :     10.690290496233882 :  13.5 : False : False :  Reals\n",
      "         43 :     0 :      9.882480214982401 :  13.5 : False : False :  Reals\n",
      "         44 :     0 :      9.140450312374691 :  13.5 : False : False :  Reals\n",
      "         45 :     0 :       8.43743055089909 :  13.5 : False : False :  Reals\n",
      "         46 :     0 :      7.770132369293053 :  13.5 : False : False :  Reals\n",
      "         47 :     0 :      7.125275436643896 :  13.5 : False : False :  Reals\n",
      "         48 :     0 :                    6.5 :  13.5 : False : False :  Reals\n",
      "    temp : Size=49, Index=TS_aux\n",
      "        Key : Lower : Value              : Upper : Fixed : Stale : Domain\n",
      "          1 :    18 :               21.0 :    24 : False : False :  Reals\n",
      "          2 :    18 :  21.00000014557888 :    24 : False : False :  Reals\n",
      "          3 :    18 : 21.000000195029035 :    24 : False : False :  Reals\n",
      "          4 :    18 : 20.999999801355084 :    24 : False : False :  Reals\n",
      "          5 :    18 :  21.00000019014992 :    24 : False : False :  Reals\n",
      "          6 :    18 : 21.000000138578397 :    24 : False : False :  Reals\n",
      "          7 :    18 :   20.9999999776238 :    24 : False : False :  Reals\n",
      "          8 :    18 :  20.99999989164318 :    24 : False : False :  Reals\n",
      "          9 :    18 : 20.999999846182693 :    24 : False : False :  Reals\n",
      "         10 :    18 :  20.99999989675135 :    24 : False : False :  Reals\n",
      "         11 :    18 : 21.000000134615256 :    24 : False : False :  Reals\n",
      "         12 :    18 : 21.000000072867365 :    24 : False : False :  Reals\n",
      "         13 :    18 :  21.00000018206197 :    24 : False : False :  Reals\n",
      "         14 :    18 : 21.000000175171117 :    24 : False : False :  Reals\n",
      "         15 :    18 :  21.00000015424217 :    24 : False : False :  Reals\n",
      "         16 :    18 : 21.000000037472784 :    24 : False : False :  Reals\n",
      "         17 :    18 : 20.999999848440353 :    24 : False : False :  Reals\n",
      "         18 :    18 : 20.999999819373947 :    24 : False : False :  Reals\n",
      "         19 :    18 : 21.000000176179206 :    24 : False : False :  Reals\n",
      "         20 :    18 : 20.999999792045486 :    24 : False : False :  Reals\n",
      "         21 :    18 : 20.999999892567278 :    24 : False : False :  Reals\n",
      "         22 :    18 : 20.987148026249635 :    24 : False : False :  Reals\n",
      "         23 :    18 :  20.97043805546456 :    24 : False : False :  Reals\n",
      "         24 :    18 : 21.016781670508685 :    24 : False : False :  Reals\n",
      "         25 :    18 :  20.99999997525256 :    24 : False : False :  Reals\n",
      "         26 :    18 :  20.98792120884101 :    24 : False : False :  Reals\n",
      "         27 :    18 :  20.97172982619638 :    24 : False : False :  Reals\n",
      "         28 :    18 :  20.99999995956367 :    24 : False : False :  Reals\n",
      "         29 :    18 :  20.98869402142357 :    24 : False : False :  Reals\n",
      "         30 :    18 : 20.972493764545955 :    24 : False : False :  Reals\n",
      "         31 :    18 : 20.956593453741384 :    24 : False : False :  Reals\n",
      "         32 :    18 :  20.99999994950405 :    24 : False : False :  Reals\n",
      "         33 :    18 :  20.99024007114379 :    24 : False : False :  Reals\n",
      "         34 :    18 :  20.97584096265196 :    24 : False : False :  Reals\n",
      "         35 :    18 :  21.00000000785217 :    24 : False : False :  Reals\n",
      "         36 :    18 : 20.990504842280583 :    24 : False : False :  Reals\n",
      "         37 :    18 : 20.999999972759806 :    24 : False : False :  Reals\n",
      "         38 :    18 : 21.000000207407453 :    24 : False : False :  Reals\n",
      "         39 :    18 : 20.999999883071546 :    24 : False : False :  Reals\n",
      "         40 :    18 : 21.000000138579008 :    24 : False : False :  Reals\n",
      "         41 :    18 : 20.999999846215257 :    24 : False : False :  Reals\n",
      "         42 :    18 :  20.99999981315103 :    24 : False : False :  Reals\n",
      "         43 :    18 : 20.999999815069728 :    24 : False : False :  Reals\n",
      "         44 :    18 :   20.9999997924099 :    24 : False : False :  Reals\n",
      "         45 :    18 : 20.999999999240437 :    24 : False : False :  Reals\n",
      "         46 :    18 : 20.999999999999993 :    24 : False : False :  Reals\n",
      "         47 :    18 :  20.99999999999819 :    24 : False : False :  Reals\n",
      "         48 :    18 : 21.000000207584115 :    24 : False : False :  Reals\n",
      "         49 :    18 :  20.99999979242368 :    24 : False : False :  Reals\n",
      "    alpha : Size=49, Index=TS_aux\n",
      "        Key : Lower : Value                  : Upper : Fixed : Stale : Domain\n",
      "          1 :     0 :  3.825915796134692e-07 :     1 : False : False :  Reals\n",
      "          2 :     0 :  3.721502982450405e-07 :     1 : False : False :  Reals\n",
      "          3 :     0 : 3.2829694462889557e-07 :     1 : False : False :  Reals\n",
      "          4 :     0 :  3.867680714457731e-07 :     1 : False : False :  Reals\n",
      "          5 :     0 : 3.5335598093493227e-07 :     1 : False : False :  Reals\n",
      "          6 :     0 :  3.450029582161928e-07 :     1 : False : False :  Reals\n",
      "          7 :     0 :   3.45002956378608e-07 :     1 : False : False :  Reals\n",
      "          8 :     0 : 3.4917946348022297e-07 :     1 : False : False :  Reals\n",
      "          9 :     0 : 3.5753247986523954e-07 :     1 : False : False :  Reals\n",
      "         10 :     0 : 3.6170898852919644e-07 :     1 : False : False :  Reals\n",
      "         11 :     0 :  3.533559706163455e-07 :     1 : False : False :  Reals\n",
      "         12 :     0 : 3.4917946232468685e-07 :     1 : False : False :  Reals\n",
      "         13 :     0 :  3.324734324904715e-07 :     1 : False : False :  Reals\n",
      "         14 :     0 : 3.1994391272466474e-07 :     1 : False : False :  Reals\n",
      "         15 :     0 :  3.115909003359774e-07 :     1 : False : False :  Reals\n",
      "         16 :     0 :  3.095026486079787e-07 :     1 : False : False :  Reals\n",
      "         17 :     0 :  3.157674103112938e-07 :     1 : False : False :  Reals\n",
      "         18 :     0 :  3.282969367448991e-07 :     1 : False : False :  Reals\n",
      "         19 :     0 :  3.157674797073772e-07 :     1 : False : False :  Reals\n",
      "         20 :     0 : 1.8067760734913908e-06 :     1 : False : False :  Reals\n",
      "         21 :     0 :  1.942107490434572e-06 :     1 : False : False :  Reals\n",
      "         22 :     0 :                      0 :     1 : False :  True :  Reals\n",
      "         23 :     0 :                      0 :     1 : False :  True :  Reals\n",
      "         24 :     0 :                      0 :     1 : False :  True :  Reals\n",
      "         25 :     0 : 1.9526120093839583e-06 :     1 : False : False :  Reals\n",
      "         26 :     0 :                      0 :     1 : False :  True :  Reals\n",
      "         27 :     0 :                      0 :     1 : False :  True :  Reals\n",
      "         28 :     0 :  1.989245648709177e-06 :     1 : False : False :  Reals\n",
      "         29 :     0 :                      0 :     1 : False :  True :  Reals\n",
      "         30 :     0 :                      0 :     1 : False :  True :  Reals\n",
      "         31 :     0 :                      0 :     1 : False :  True :  Reals\n",
      "         32 :     0 :  2.036574093338801e-06 :     1 : False : False :  Reals\n",
      "         33 :     0 :                      0 :     1 : False :  True :  Reals\n",
      "         34 :     0 :                      0 :     1 : False :  True :  Reals\n",
      "         35 :     0 : 2.0103656935415232e-06 :     1 : False : False :  Reals\n",
      "         36 :     0 :                      0 :     1 : False :  True :  Reals\n",
      "         37 :     0 :   2.03648670236074e-06 :     1 : False : False :  Reals\n",
      "         38 :     0 : 3.9303287432533214e-07 :     1 : False : False :  Reals\n",
      "         39 :     0 :  3.992976192423125e-07 :     1 : False : False :  Reals\n",
      "         40 :     0 :  3.888563182805489e-07 :     1 : False : False :  Reals\n",
      "         41 :     0 :  3.992976041798488e-07 :     1 : False : False :  Reals\n",
      "         42 :     0 : 4.2853330936794616e-07 :     1 : False : False :  Reals\n",
      "         43 :     0 : 4.5776992897828246e-07 :     1 : False : False :  Reals\n",
      "         44 :     0 :   0.005529829703322433 :     1 : False : False :  Reals\n",
      "         45 :     0 :    0.40334200236984913 :     1 : False : False :  Reals\n",
      "         46 :     0 :     0.4033421489338978 :     1 : False : False :  Reals\n",
      "         47 :     0 :    0.45302364748901514 :     1 : False : False :  Reals\n",
      "         48 :     0 : 4.5776992785810134e-07 :     1 : False : False :  Reals\n",
      "         49 :     0 :                      0 :     1 : False :  True :  Reals\n",
      "    P_in : Size=48, Index=TS\n",
      "        Key : Lower : Value                  : Upper : Fixed : Stale : Domain\n",
      "          1 :     0 :    0.36731748321995594 :  None : False : False : NonNegativeReals\n",
      "          2 :     0 :      0.378198716848234 :  None : False : False : NonNegativeReals\n",
      "          3 :     0 :     0.5833926159179096 :  None : False : False : NonNegativeReals\n",
      "          4 :     0 :     0.7405966232508537 :  None : False : False : NonNegativeReals\n",
      "          5 :     0 :     0.9480145118502828 :  None : False : False : NonNegativeReals\n",
      "          6 :     0 :     1.6661527063961132 :  None : False : False : NonNegativeReals\n",
      "          7 :     0 :     2.1226130446354112 :  None : False : False : NonNegativeReals\n",
      "          8 :     0 :      2.386770038832254 :  None : False : False : NonNegativeReals\n",
      "          9 :     0 :     2.5469970345528115 :  None : False : False : NonNegativeReals\n",
      "         10 :     0 :     2.7097427113114883 :  None : False : False : NonNegativeReals\n",
      "         11 :     0 :      2.886072089502093 :  None : False : False : NonNegativeReals\n",
      "         12 :     0 :      2.951480323406185 :  None : False : False : NonNegativeReals\n",
      "         13 :     0 :      3.119702905895816 :  None : False : False : NonNegativeReals\n",
      "         14 :     0 :      3.164533228857398 :  None : False : False : NonNegativeReals\n",
      "         15 :     0 :     3.2525873334705233 :  None : False : False : NonNegativeReals\n",
      "         16 :     0 :      2.467996222122647 :  None : False : False : NonNegativeReals\n",
      "         17 :     0 :       1.64743355152251 :  None : False : False : NonNegativeReals\n",
      "         18 :     0 :     0.8824791511809492 :  None : False : False : NonNegativeReals\n",
      "         19 :     0 :    0.16891433205053483 :  None : False : False : NonNegativeReals\n",
      "         20 :     0 : 4.0118090106579077e-08 :  None : False : False : NonNegativeReals\n",
      "         21 :     0 :  4.011807541117743e-08 :  None : False : False : NonNegativeReals\n",
      "         22 :     0 :  4.011807274742949e-08 :  None : False : False : NonNegativeReals\n",
      "         23 :     0 : 4.0118071921394726e-08 :  None : False : False : NonNegativeReals\n",
      "         24 :     0 : 4.0118070673150184e-08 :  None : False : False : NonNegativeReals\n",
      "         25 :     0 : 4.0118069905216965e-08 :  None : False : False : NonNegativeReals\n",
      "         26 :     0 :  4.011806893601344e-08 :  None : False : False : NonNegativeReals\n",
      "         27 :     0 : 4.0118069685133413e-08 :  None : False : False : NonNegativeReals\n",
      "         28 :     0 :  4.011806907282498e-08 :  None : False : False : NonNegativeReals\n",
      "         29 :     0 :  4.011806888791192e-08 :  None : False : False : NonNegativeReals\n",
      "         30 :     0 : 4.0118068754348846e-08 :  None : False : False : NonNegativeReals\n",
      "         31 :     0 :    4.0118069318975e-08 :  None : False : False : NonNegativeReals\n",
      "         32 :     0 : 4.0118069392946725e-08 :  None : False : False : NonNegativeReals\n",
      "         33 :     0 :  4.011806999975688e-08 :  None : False : False : NonNegativeReals\n",
      "         34 :     0 : 4.0118071222487076e-08 :  None : False : False : NonNegativeReals\n",
      "         35 :     0 :  4.011807211864929e-08 :  None : False : False : NonNegativeReals\n",
      "         36 :     0 :   4.01180744581908e-08 :  None : False : False : NonNegativeReals\n",
      "         37 :     0 :  4.011808098568649e-08 :  None : False : False : NonNegativeReals\n",
      "         38 :     0 :     0.3086955483358203 :  None : False : False : NonNegativeReals\n",
      "         39 :     0 :     0.7456860763982094 :  None : False : False : NonNegativeReals\n",
      "         40 :     0 :      1.417275589392782 :  None : False : False : NonNegativeReals\n",
      "         41 :     0 :      2.366827755085098 :  None : False : False : NonNegativeReals\n",
      "         42 :     0 :     2.7103657162558803 :  None : False : False : NonNegativeReals\n",
      "         43 :     0 :     2.9026899750363677 :  None : False : False : NonNegativeReals\n",
      "         44 :     0 :     3.0642625692606473 :  None : False : False : NonNegativeReals\n",
      "         45 :     0 :     3.0321335710445485 :  None : False : False : NonNegativeReals\n",
      "         46 :     0 :     2.9747719440626232 :  None : False : False : NonNegativeReals\n",
      "         47 :     0 :     2.8119767864768415 :  None : False : False : NonNegativeReals\n",
      "         48 :     0 :     3.8125435918562705 :  None : False : False : NonNegativeReals\n",
      "    P_out : Size=48, Index=TS\n",
      "        Key : Lower : Value                   : Upper : Fixed : Stale : Domain\n",
      "          1 :    -5 :  -4.011807751561924e-08 :     0 : False : False :  Reals\n",
      "          2 :    -5 :  -4.011807731807289e-08 :     0 : False : False :  Reals\n",
      "          3 :    -5 :    -4.0118074962276e-08 :     0 : False : False :  Reals\n",
      "          4 :    -5 :   -4.01180740274232e-08 :     0 : False : False :  Reals\n",
      "          5 :    -5 :  -4.011807325010719e-08 :     0 : False : False :  Reals\n",
      "          6 :    -5 :  -4.011807191876856e-08 :     0 : False : False :  Reals\n",
      "          7 :    -5 :   -4.01180714194567e-08 :     0 : False : False :  Reals\n",
      "          8 :    -5 :   -4.01180711672323e-08 :     0 : False : False :  Reals\n",
      "          9 :    -5 :  -4.011807102016465e-08 :     0 : False : False :  Reals\n",
      "         10 :    -5 :  -4.011807087299044e-08 :     0 : False : False :  Reals\n",
      "         11 :    -5 :  -4.011807071426711e-08 :     0 : False : False :  Reals\n",
      "         12 :    -5 : -4.0118070655261576e-08 :     0 : False : False :  Reals\n",
      "         13 :    -5 :  -4.011807050246371e-08 :     0 : False : False :  Reals\n",
      "         14 :    -5 :  -4.011807046139725e-08 :     0 : False : False :  Reals\n",
      "         15 :    -5 :  -4.011807038016473e-08 :     0 : False : False :  Reals\n",
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      "         17 :    -5 :  -4.011807194211451e-08 :     0 : False : False :  Reals\n",
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      "         19 :    -5 : -4.0118085558112715e-08 :     0 : False : False :  Reals\n",
      "         20 :    -5 :     -0.1292672516954697 :     0 : False : False :  Reals\n",
      "         21 :    -5 :     -0.5225513164886155 :     0 : False : False :  Reals\n",
      "         22 :    -5 :     -1.0852004071023045 :     0 : False : False :  Reals\n",
      "         23 :    -5 :     -1.5011184803569375 :     0 : False : False :  Reals\n",
      "         24 :    -5 :     -2.4140498820101857 :     0 : False : False :  Reals\n",
      "         25 :    -5 :     -2.9689008371767223 :     0 : False : False :  Reals\n",
      "         26 :    -5 :      -3.519024833320283 :     0 : False : False :  Reals\n",
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      "         29 :    -5 :      -3.540888234919177 :     0 : False : False :  Reals\n",
      "         30 :    -5 :     -3.6024044128446437 :     0 : False : False :  Reals\n",
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      "         32 :    -5 :      -3.282137772230432 :     0 : False : False :  Reals\n",
      "         33 :    -5 :      -2.905691561714808 :     0 : False : False :  Reals\n",
      "         34 :    -5 :     -1.9890435154106632 :     0 : False : False :  Reals\n",
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      "         39 :    -5 : -4.0118074003171774e-08 :     0 : False : False :  Reals\n",
      "         40 :    -5 : -4.0118072260799974e-08 :     0 : False : False :  Reals\n",
      "         41 :    -5 : -4.0118071185759846e-08 :     0 : False : False :  Reals\n",
      "         42 :    -5 : -4.0118070872447315e-08 :     0 : False : False :  Reals\n",
      "         43 :    -5 :  -4.011807069931992e-08 :     0 : False : False :  Reals\n",
      "         44 :    -5 :  -4.011807055306922e-08 :     0 : False : False :  Reals\n",
      "         45 :    -5 : -4.0118070582256144e-08 :     0 : False : False :  Reals\n",
      "         46 :    -5 : -4.0118070634219894e-08 :     0 : False : False :  Reals\n",
      "         47 :    -5 :  -4.011807078097533e-08 :     0 : False : False :  Reals\n",
      "         48 :    -5 : -4.0118069835600485e-08 :     0 : False : False :  Reals\n",
      "    error : Size=48, Index=TS\n",
      "        Key : Lower  : Value                  : Upper : Fixed : Stale : Domain\n",
      "          1 : -0.001 : 1.4736071264661843e-08 : 0.001 : False : False :  Reals\n",
      "          2 : -0.001 : 1.5172605364115035e-08 : 0.001 : False : False :  Reals\n",
      "          3 : -0.001 : 2.3404588697846137e-08 : 0.001 : False : False :  Reals\n",
      "          4 : -0.001 : 2.9711310156077696e-08 : 0.001 : False : False :  Reals\n",
      "          5 : -0.001 :  3.803251562869481e-08 : 0.001 : False : False :  Reals\n",
      "          6 : -0.001 :  6.684283410359949e-08 : 0.001 : False : False :  Reals\n",
      "          7 : -0.001 :  8.515514172093435e-08 : 0.001 : False : False :  Reals\n",
      "          8 : -0.001 :  9.575261027652691e-08 : 0.001 : False : False :  Reals\n",
      "          9 : -0.001 :  1.021806079173216e-07 : 0.001 : False : False :  Reals\n",
      "         10 : -0.001 :  1.087096501340275e-07 : 0.001 : False : False :  Reals\n",
      "         11 : -0.001 : 1.1578364416142729e-07 : 0.001 : False : False :  Reals\n",
      "         12 : -0.001 : 1.1840769613694235e-07 : 0.001 : False : False :  Reals\n",
      "         13 : -0.001 :  1.251564610993895e-07 : 0.001 : False : False :  Reals\n",
      "         14 : -0.001 : 1.2695496701831526e-07 : 0.001 : False : False :  Reals\n",
      "         15 : -0.001 :  1.304875275072683e-07 : 0.001 : False : False :  Reals\n",
      "         16 : -0.001 :   9.90112478879463e-08 : 0.001 : False : False :  Reals\n",
      "         17 : -0.001 :  6.609185774218348e-08 : 0.001 : False : False :  Reals\n",
      "         18 : -0.001 :  3.540336341314909e-08 : 0.001 : False : False :  Reals\n",
      "         19 : -0.001 :  6.776519625194935e-09 : 0.001 : False : False :  Reals\n",
      "         20 : -0.001 : 5.1859552513487816e-09 : 0.001 : False : False :  Reals\n",
      "         21 : -0.001 :  2.096375312112777e-08 : 0.001 : False : False :  Reals\n",
      "         22 : -0.001 :  4.353614887886324e-08 : 0.001 : False : False :  Reals\n",
      "         23 : -0.001 :  6.022197916407526e-08 : 0.001 : False : False :  Reals\n",
      "         24 : -0.001 :  9.684702380362812e-08 : 0.001 : False : False :  Reals\n",
      "         25 : -0.001 : 1.1910657138478204e-07 : 0.001 : False : False :  Reals\n",
      "         26 : -0.001 :  1.411764809324987e-07 : 0.001 : False : False :  Reals\n",
      "         27 : -0.001 :  1.247229000864734e-07 : 0.001 : False : False :  Reals\n",
      "         28 : -0.001 : 1.3852986983875287e-07 : 0.001 : False : False :  Reals\n",
      "         29 : -0.001 : 1.4205359837728953e-07 : 0.001 : False : False :  Reals\n",
      "         30 : -0.001 : 1.4452150680954402e-07 : 0.001 : False : False :  Reals\n",
      "         31 : -0.001 : 1.3329328288405275e-07 : 0.001 : False : False :  Reals\n",
      "         32 : -0.001 : 1.3167303098133504e-07 : 0.001 : False : False :  Reals\n",
      "         33 : -0.001 : 1.1657073752224195e-07 : 0.001 : False : False :  Reals\n",
      "         34 : -0.001 :  7.979658943295741e-08 : 0.001 : False : False :  Reals\n",
      "         35 : -0.001 :  5.556254919899473e-08 : 0.001 : False : False :  Reals\n",
      "         36 : -0.001 :  2.594144277113001e-08 : 0.001 : False : False :  Reals\n",
      "         37 : -0.001 :  9.757844583805976e-09 : 0.001 : False : False :  Reals\n",
      "         38 : -0.001 : 1.2384272338851817e-08 : 0.001 : False : False :  Reals\n",
      "         39 : -0.001 : 2.9915489196225916e-08 : 0.001 : False : False :  Reals\n",
      "         40 : -0.001 :  5.685836451153045e-08 : 0.001 : False : False :  Reals\n",
      "         41 : -0.001 :  9.495256436371023e-08 : 0.001 : False : False :  Reals\n",
      "         42 : -0.001 :  1.087346438823686e-07 : 0.001 : False : False :  Reals\n",
      "         43 : -0.001 : 1.1645032161417868e-07 : 0.001 : False : False :  Reals\n",
      "         44 : -0.001 : 1.2293230191354167e-07 : 0.001 : False : False :  Reals\n",
      "         45 : -0.001 : 1.2164334859120747e-07 : 0.001 : False : False :  Reals\n",
      "         46 : -0.001 : 1.1934211095205697e-07 : 0.001 : False : False :  Reals\n",
      "         47 : -0.001 : 1.1281108374474934e-07 : 0.001 : False : False :  Reals\n",
      "         48 : -0.001 : 1.5295189006936036e-07 : 0.001 : False : False :  Reals\n",
      "\n",
      "  Objectives:\n",
      "    objective : Size=1, Index=None, Active=True\n",
      "        Key  : Active : Value\n",
      "        None :   True : 6.651788416702921\n",
      "\n",
      "  Constraints:\n",
      "    lambda3 : Size=48\n",
      "        Key : Lower : Body                    : Upper\n",
      "          1 :   0.0 :  -5.293955920339377e-23 :   0.0\n",
      "          2 :   0.0 : -3.0531133177191805e-16 :   0.0\n",
      "          3 :   0.0 : -1.1102230246251565e-16 :   0.0\n",
      "          4 :   0.0 :  1.1102230246251565e-16 :   0.0\n",
      "          5 :   0.0 :    6.38378239159465e-16 :   0.0\n",
      "          6 :   0.0 :  2.7755575615628914e-17 :   0.0\n",
      "          7 :   0.0 :  -2.220446049250313e-16 :   0.0\n",
      "          8 :   0.0 : -1.1102230246251565e-16 :   0.0\n",
      "          9 :   0.0 :   5.551115123125783e-17 :   0.0\n",
      "         10 :   0.0 :  -3.885780586188048e-16 :   0.0\n",
      "         11 :   0.0 :   4.996003610813204e-16 :   0.0\n",
      "         12 :   0.0 :  -5.551115123125783e-17 :   0.0\n",
      "         13 :   0.0 :  -2.220446049250313e-16 :   0.0\n",
      "         14 :   0.0 :   2.220446049250313e-16 :   0.0\n",
      "         15 :   0.0 : -3.3306690738754696e-16 :   0.0\n",
      "         16 :   0.0 :   2.220446049250313e-16 :   0.0\n",
      "         17 :   0.0 :                     0.0 :   0.0\n",
      "         18 :   0.0 :                     0.0 :   0.0\n",
      "         19 :   0.0 :                     0.0 :   0.0\n",
      "         20 :   0.0 :                     0.0 :   0.0\n",
      "         21 :   0.0 : -2.7755575615628914e-17 :   0.0\n",
      "         22 :   0.0 :                     0.0 :   0.0\n",
      "         23 :   0.0 :  1.1102230246251565e-16 :   0.0\n",
      "         24 :   0.0 : -1.1102230246251565e-16 :   0.0\n",
      "         25 :   0.0 :  -2.220446049250313e-16 :   0.0\n",
      "         26 :   0.0 :   2.220446049250313e-16 :   0.0\n",
      "         27 :   0.0 :   4.440892098500626e-16 :   0.0\n",
      "         28 :   0.0 : -1.1102230246251565e-16 :   0.0\n",
      "         29 :   0.0 : -3.3306690738754696e-16 :   0.0\n",
      "         30 :   0.0 :                     0.0 :   0.0\n",
      "         31 :   0.0 :   2.220446049250313e-16 :   0.0\n",
      "         32 :   0.0 :   6.661338147750939e-16 :   0.0\n",
      "         33 :   0.0 : -1.5543122344752192e-15 :   0.0\n",
      "         34 :   0.0 :  1.4432899320127035e-15 :   0.0\n",
      "         35 :   0.0 : -1.1102230246251565e-15 :   0.0\n",
      "         36 :   0.0 :                     0.0 :   0.0\n",
      "         37 :   0.0 :                     0.0 :   0.0\n",
      "         38 :   0.0 : -1.0788986232190823e-07 :   0.0\n",
      "         39 :   0.0 :  1.0788986287701974e-07 :   0.0\n",
      "         40 :   0.0 :   5.551115123125783e-16 :   0.0\n",
      "         41 :   0.0 :  3.3306690738754696e-16 :   0.0\n",
      "         42 :   0.0 :  -2.220446049250313e-16 :   0.0\n",
      "         43 :   0.0 : -3.3306690738754696e-16 :   0.0\n",
      "         44 :   0.0 :   2.220446049250313e-16 :   0.0\n",
      "         45 :   0.0 : -3.3306690738754696e-16 :   0.0\n",
      "         46 :   0.0 :  3.3306690738754696e-16 :   0.0\n",
      "         47 :   0.0 :  -4.440892098500626e-16 :   0.0\n",
      "         48 :   0.0 :                     0.0 :   0.0\n",
      "    lambda5 : Size=1\n",
      "        Key  : Lower : Body : Upper\n",
      "        None :   0.0 :  0.0 :   0.0\n",
      "    lambda6 : Size=1\n",
      "        Key  : Lower : Body : Upper\n",
      "        None :   0.0 :  0.0 :   0.0\n",
      "    lambda7 : Size=1\n",
      "        Key  : Lower : Body : Upper\n",
      "        None :   0.0 :  0.0 :   0.0\n",
      "    lambda4 : Size=48\n",
      "        Key : Lower : Body                   : Upper\n",
      "          1 :   0.0 :                    0.0 :   0.0\n",
      "          2 :   0.0 :                    0.0 :   0.0\n",
      "          3 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "          4 :   0.0 : -3.552713678800501e-15 :   0.0\n",
      "          5 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "          6 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "          7 :   0.0 :                    0.0 :   0.0\n",
      "          8 :   0.0 : -3.552713678800501e-15 :   0.0\n",
      "          9 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "         10 :   0.0 :                    0.0 :   0.0\n",
      "         11 :   0.0 :                    0.0 :   0.0\n",
      "         12 :   0.0 :                    0.0 :   0.0\n",
      "         13 :   0.0 :                    0.0 :   0.0\n",
      "         14 :   0.0 :                    0.0 :   0.0\n",
      "         15 :   0.0 :                    0.0 :   0.0\n",
      "         16 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "         17 :   0.0 :                    0.0 :   0.0\n",
      "         18 :   0.0 :                    0.0 :   0.0\n",
      "         19 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "         20 :   0.0 :                    0.0 :   0.0\n",
      "         21 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "         22 :   0.0 :                    0.0 :   0.0\n",
      "         23 :   0.0 :                    0.0 :   0.0\n",
      "         24 :   0.0 :                    0.0 :   0.0\n",
      "         25 :   0.0 :                    0.0 :   0.0\n",
      "         26 :   0.0 :                    0.0 :   0.0\n",
      "         27 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "         28 :   0.0 :                    0.0 :   0.0\n",
      "         29 :   0.0 :                    0.0 :   0.0\n",
      "         30 :   0.0 :                    0.0 :   0.0\n",
      "         31 :   0.0 :                    0.0 :   0.0\n",
      "         32 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "         33 :   0.0 :                    0.0 :   0.0\n",
      "         34 :   0.0 :                    0.0 :   0.0\n",
      "         35 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "         36 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "         37 :   0.0 : -3.552713678800501e-15 :   0.0\n",
      "         38 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "         39 :   0.0 :                    0.0 :   0.0\n",
      "         40 :   0.0 :                    0.0 :   0.0\n",
      "         41 :   0.0 :                    0.0 :   0.0\n",
      "         42 :   0.0 :                    0.0 :   0.0\n",
      "         43 :   0.0 :                    0.0 :   0.0\n",
      "         44 :   0.0 :                    0.0 :   0.0\n",
      "         45 :   0.0 :  3.552713678800501e-15 :   0.0\n",
      "         46 :   0.0 :                    0.0 :   0.0\n",
      "         47 :   0.0 : -3.552713678800501e-15 :   0.0\n",
      "         48 :   0.0 :                    0.0 :   0.0\n",
      "    lambda2 : Size=48\n",
      "        Key : Lower : Body                    : Upper\n",
      "          1 :   0.0 :  1.4806532964699195e-21 :   0.0\n",
      "          2 :   0.0 :  1.6278914455043585e-21 :   0.0\n",
      "          3 :   0.0 :  1.3148863017142928e-20 :   0.0\n",
      "          4 :   0.0 :  4.0293621998683084e-20 :   0.0\n",
      "          5 :   0.0 :  1.2054999375102804e-19 :   0.0\n",
      "          6 :   0.0 :    7.49346225634238e-19 :   0.0\n",
      "          7 :   0.0 :   3.804898468845919e-19 :   0.0\n",
      "          8 :   0.0 : -1.1632541692659722e-18 :   0.0\n",
      "          9 :   0.0 :  -3.016840190544199e-18 :   0.0\n",
      "         10 :   0.0 :   -5.93605983391734e-18 :   0.0\n",
      "         11 :   0.0 : -1.1690298751750624e-17 :   0.0\n",
      "         12 :   0.0 : -1.5081262807185207e-17 :   0.0\n",
      "         13 :   0.0 :  -2.607972092948628e-17 :   0.0\n",
      "         14 :   0.0 :  -3.441876029520487e-17 :   0.0\n",
      "         15 :   0.0 :  -5.453449577329402e-17 :   0.0\n",
      "         16 :   0.0 :   -6.75547156615727e-18 :   0.0\n",
      "         17 :   0.0 :   2.350212026165264e-18 :   0.0\n",
      "         18 :   0.0 :  2.7403501077146743e-19 :   0.0\n",
      "         19 :   0.0 :  1.1745964698252993e-22 :   0.0\n",
      "         20 :   0.0 :   9.098986738083304e-23 :   0.0\n",
      "         21 :   0.0 :   2.744585272450946e-20 :   0.0\n",
      "         22 :   0.0 :  1.1928937049749723e-18 :   0.0\n",
      "         23 :   0.0 :   6.580876899904477e-18 :   0.0\n",
      "         24 :   0.0 :    2.86336311445764e-17 :   0.0\n",
      "         25 :   0.0 :   5.726912840861472e-17 :   0.0\n",
      "         26 :   0.0 :   8.181237127645111e-17 :   0.0\n",
      "         27 :   0.0 :   6.468721796754127e-17 :   0.0\n",
      "         28 :   0.0 : -1.1427958619002779e-15 :   0.0\n",
      "         29 :   0.0 :  2.4440513653202196e-16 :   0.0\n",
      "         30 :   0.0 : -1.1059270852749195e-15 :   0.0\n",
      "         31 :   0.0 :  1.8147222967736275e-16 :   0.0\n",
      "         32 :   0.0 :    7.77830090765828e-17 :   0.0\n",
      "         33 :   0.0 :  5.1664390805971825e-17 :   0.0\n",
      "         34 :   0.0 :  1.7086361846903547e-17 :   0.0\n",
      "         35 :   0.0 :   3.811965899999572e-18 :   0.0\n",
      "         36 :   0.0 :  1.0098882662537404e-19 :   0.0\n",
      "         37 :   0.0 :   6.220398206398768e-22 :   0.0\n",
      "         38 :   0.0 :  1.4177875699158894e-21 :   0.0\n",
      "         39 :   0.0 :  1.4775430973667202e-19 :   0.0\n",
      "         40 :   0.0 :  2.8029511364726875e-18 :   0.0\n",
      "         41 :   0.0 :   7.741087044516254e-19 :   0.0\n",
      "         42 :   0.0 : -1.2636236030486665e-17 :   0.0\n",
      "         43 :   0.0 :   -2.25374953185178e-17 :   0.0\n",
      "         44 :   0.0 :  -3.318614206849265e-17 :   0.0\n",
      "         45 :   0.0 : -2.6786093467937163e-17 :   0.0\n",
      "         46 :   0.0 :  -2.054298419064014e-17 :   0.0\n",
      "         47 :   0.0 :  -9.588135030232862e-18 :   0.0\n",
      "         48 :   0.0 :  -6.088049308390284e-22 :   0.0\n",
      "    lambda1 : Size=48\n",
      "        Key : Lower : Body                    : Upper\n",
      "          1 :   0.0 :  1.1102230246251565e-16 :   0.0\n",
      "          2 :   0.0 :  1.1102230246251565e-16 :   0.0\n",
      "          3 :   0.0 :                     0.0 :   0.0\n",
      "          4 :   0.0 :  1.1102230246251565e-16 :   0.0\n",
      "          5 :   0.0 :                     0.0 :   0.0\n",
      "          6 :   0.0 :  -4.440892098500626e-16 :   0.0\n",
      "          7 :   0.0 :                     0.0 :   0.0\n",
      "          8 :   0.0 :   4.440892098500626e-16 :   0.0\n",
      "          9 :   0.0 :  -4.440892098500626e-16 :   0.0\n",
      "         10 :   0.0 :   4.440892098500626e-16 :   0.0\n",
      "         11 :   0.0 :  -4.440892098500626e-16 :   0.0\n",
      "         12 :   0.0 :   4.440892098500626e-16 :   0.0\n",
      "         13 :   0.0 :  -4.440892098500626e-16 :   0.0\n",
      "         14 :   0.0 : -1.3322676295501878e-15 :   0.0\n",
      "         15 :   0.0 :  -4.440892098500626e-16 :   0.0\n",
      "         16 :   0.0 :  -4.440892098500626e-16 :   0.0\n",
      "         17 :   0.0 :  -2.220446049250313e-16 :   0.0\n",
      "         18 :   0.0 :                     0.0 :   0.0\n",
      "         19 :   0.0 :   3.885780586188048e-16 :   0.0\n",
      "         20 :   0.0 :  -4.163336342344337e-16 :   0.0\n",
      "         21 :   0.0 : -3.3306690738754696e-16 :   0.0\n",
      "         22 :   0.0 :  -8.881784197001252e-16 :   0.0\n",
      "         23 :   0.0 :  1.1102230246251565e-15 :   0.0\n",
      "         24 :   0.0 :   4.440892098500626e-16 :   0.0\n",
      "         25 :   0.0 :  -8.881784197001252e-16 :   0.0\n",
      "         26 :   0.0 :   8.881784197001252e-16 :   0.0\n",
      "         27 :   0.0 :  -8.881784197001252e-16 :   0.0\n",
      "         28 :   0.0 :                     0.0 :   0.0\n",
      "         29 :   0.0 :  -4.440892098500626e-16 :   0.0\n",
      "         30 :   0.0 :   8.881784197001252e-16 :   0.0\n",
      "         31 :   0.0 :  -4.440892098500626e-16 :   0.0\n",
      "         32 :   0.0 :  1.3322676295501878e-15 :   0.0\n",
      "         33 :   0.0 :   4.440892098500626e-16 :   0.0\n",
      "         34 :   0.0 :   6.661338147750939e-16 :   0.0\n",
      "         35 :   0.0 :   6.661338147750939e-16 :   0.0\n",
      "         36 :   0.0 :   4.440892098500626e-16 :   0.0\n",
      "         37 :   0.0 : -1.1102230246251565e-16 :   0.0\n",
      "         38 :   0.0 : -3.3306690738754696e-16 :   0.0\n",
      "         39 :   0.0 :   4.440892098500626e-16 :   0.0\n",
      "         40 :   0.0 :                     0.0 :   0.0\n",
      "         41 :   0.0 :                     0.0 :   0.0\n",
      "         42 :   0.0 : -1.3322676295501878e-15 :   0.0\n",
      "         43 :   0.0 :  -4.440892098500626e-16 :   0.0\n",
      "         44 :   0.0 :  -4.440892098500626e-16 :   0.0\n",
      "         45 :   0.0 :  -8.881784197001252e-16 :   0.0\n",
      "         46 :   0.0 : -1.7763568394002505e-15 :   0.0\n",
      "         47 :   0.0 :                     0.0 :   0.0\n",
      "         48 :   0.0 :   8.881784197001252e-16 :   0.0\n",
      "    mu1 : Size=48\n",
      "        Key : Lower : Body                   : Upper\n",
      "          1 :   0.0 :    0.36731748321995594 :  None\n",
      "          2 :   0.0 :      0.378198716848234 :  None\n",
      "          3 :   0.0 :     0.5833926159179096 :  None\n",
      "          4 :   0.0 :     0.7405966232508537 :  None\n",
      "          5 :   0.0 :     0.9480145118502828 :  None\n",
      "          6 :   0.0 :     1.6661527063961132 :  None\n",
      "          7 :   0.0 :     2.1226130446354112 :  None\n",
      "          8 :   0.0 :      2.386770038832254 :  None\n",
      "          9 :   0.0 :     2.5469970345528115 :  None\n",
      "         10 :   0.0 :     2.7097427113114883 :  None\n",
      "         11 :   0.0 :      2.886072089502093 :  None\n",
      "         12 :   0.0 :      2.951480323406185 :  None\n",
      "         13 :   0.0 :      3.119702905895816 :  None\n",
      "         14 :   0.0 :      3.164533228857398 :  None\n",
      "         15 :   0.0 :     3.2525873334705233 :  None\n",
      "         16 :   0.0 :      2.467996222122647 :  None\n",
      "         17 :   0.0 :       1.64743355152251 :  None\n",
      "         18 :   0.0 :     0.8824791511809492 :  None\n",
      "         19 :   0.0 :    0.16891433205053483 :  None\n",
      "         20 :   0.0 : 4.0118090106579077e-08 :  None\n",
      "         21 :   0.0 :  4.011807541117743e-08 :  None\n",
      "         22 :   0.0 :  4.011807274742949e-08 :  None\n",
      "         23 :   0.0 : 4.0118071921394726e-08 :  None\n",
      "         24 :   0.0 : 4.0118070673150184e-08 :  None\n",
      "         25 :   0.0 : 4.0118069905216965e-08 :  None\n",
      "         26 :   0.0 :  4.011806893601344e-08 :  None\n",
      "         27 :   0.0 : 4.0118069685133413e-08 :  None\n",
      "         28 :   0.0 :  4.011806907282498e-08 :  None\n",
      "         29 :   0.0 :  4.011806888791192e-08 :  None\n",
      "         30 :   0.0 : 4.0118068754348846e-08 :  None\n",
      "         31 :   0.0 :    4.0118069318975e-08 :  None\n",
      "         32 :   0.0 : 4.0118069392946725e-08 :  None\n",
      "         33 :   0.0 :  4.011806999975688e-08 :  None\n",
      "         34 :   0.0 : 4.0118071222487076e-08 :  None\n",
      "         35 :   0.0 :  4.011807211864929e-08 :  None\n",
      "         36 :   0.0 :   4.01180744581908e-08 :  None\n",
      "         37 :   0.0 :  4.011808098568649e-08 :  None\n",
      "         38 :   0.0 :     0.3086955483358203 :  None\n",
      "         39 :   0.0 :     0.7456860763982094 :  None\n",
      "         40 :   0.0 :      1.417275589392782 :  None\n",
      "         41 :   0.0 :      2.366827755085098 :  None\n",
      "         42 :   0.0 :     2.7103657162558803 :  None\n",
      "         43 :   0.0 :     2.9026899750363677 :  None\n",
      "         44 :   0.0 :     3.0642625692606473 :  None\n",
      "         45 :   0.0 :     3.0321335710445485 :  None\n",
      "         46 :   0.0 :     2.9747719440626232 :  None\n",
      "         47 :   0.0 :     2.8119767864768415 :  None\n",
      "         48 :   0.0 :     3.8125435918562705 :  None\n",
      "    mu2 : Size=48\n",
      "        Key : Lower : Body                   : Upper\n",
      "          1 :   0.0 :  4.011807751561924e-08 :  None\n",
      "          2 :   0.0 :  4.011807731807289e-08 :  None\n",
      "          3 :   0.0 :    4.0118074962276e-08 :  None\n",
      "          4 :   0.0 :   4.01180740274232e-08 :  None\n",
      "          5 :   0.0 :  4.011807325010719e-08 :  None\n",
      "          6 :   0.0 :  4.011807191876856e-08 :  None\n",
      "          7 :   0.0 :   4.01180714194567e-08 :  None\n",
      "          8 :   0.0 :   4.01180711672323e-08 :  None\n",
      "          9 :   0.0 :  4.011807102016465e-08 :  None\n",
      "         10 :   0.0 :  4.011807087299044e-08 :  None\n",
      "         11 :   0.0 :  4.011807071426711e-08 :  None\n",
      "         12 :   0.0 : 4.0118070655261576e-08 :  None\n",
      "         13 :   0.0 :  4.011807050246371e-08 :  None\n",
      "         14 :   0.0 :  4.011807046139725e-08 :  None\n",
      "         15 :   0.0 :  4.011807038016473e-08 :  None\n",
      "         16 :   0.0 : 4.0118071092323344e-08 :  None\n",
      "         17 :   0.0 :  4.011807194211451e-08 :  None\n",
      "         18 :   0.0 : 4.0118073458730044e-08 :  None\n",
      "         19 :   0.0 : 4.0118085558112715e-08 :  None\n",
      "         20 :   0.0 :     0.1292672516954697 :  None\n",
      "         21 :   0.0 :     0.5225513164886155 :  None\n",
      "         22 :   0.0 :     1.0852004071023045 :  None\n",
      "         23 :   0.0 :     1.5011184803569375 :  None\n",
      "         24 :   0.0 :     2.4140498820101857 :  None\n",
      "         25 :   0.0 :     2.9689008371767223 :  None\n",
      "         26 :   0.0 :      3.519024833320283 :  None\n",
      "         27 :   0.0 :     3.1088958417160546 :  None\n",
      "         28 :   0.0 :     3.4530543015437782 :  None\n",
      "         29 :   0.0 :      3.540888234919177 :  None\n",
      "         30 :   0.0 :     3.6024044128446437 :  None\n",
      "         31 :   0.0 :      3.322524861373018 :  None\n",
      "         32 :   0.0 :      3.282137772230432 :  None\n",
      "         33 :   0.0 :      2.905691561714808 :  None\n",
      "         34 :   0.0 :     1.9890435154106632 :  None\n",
      "         35 :   0.0 :     1.3849755549283724 :  None\n",
      "         36 :   0.0 :     0.6466273150288904 :  None\n",
      "         37 :   0.0 :    0.24322809925247427 :  None\n",
      "         38 :   0.0 :   4.01180788178323e-08 :  None\n",
      "         39 :   0.0 : 4.0118074003171774e-08 :  None\n",
      "         40 :   0.0 : 4.0118072260799974e-08 :  None\n",
      "         41 :   0.0 : 4.0118071185759846e-08 :  None\n",
      "         42 :   0.0 : 4.0118070872447315e-08 :  None\n",
      "         43 :   0.0 :  4.011807069931992e-08 :  None\n",
      "         44 :   0.0 :  4.011807055306922e-08 :  None\n",
      "         45 :   0.0 : 4.0118070582256144e-08 :  None\n",
      "         46 :   0.0 : 4.0118070634219894e-08 :  None\n",
      "         47 :   0.0 :  4.011807078097533e-08 :  None\n",
      "         48 :   0.0 : 4.0118069835600485e-08 :  None\n",
      "    mu3 : Size=48\n",
      "        Key : Lower : Body               : Upper\n",
      "          1 :   0.0 :  4.999999959881922 :  None\n",
      "          2 :   0.0 :  4.999999959881922 :  None\n",
      "          3 :   0.0 :  4.999999959881925 :  None\n",
      "          4 :   0.0 :  4.999999959881926 :  None\n",
      "          5 :   0.0 :  4.999999959881927 :  None\n",
      "          6 :   0.0 : 4.9999999598819285 :  None\n",
      "          7 :   0.0 : 4.9999999598819285 :  None\n",
      "          8 :   0.0 : 4.9999999598819285 :  None\n",
      "          9 :   0.0 :  4.999999959881929 :  None\n",
      "         10 :   0.0 :  4.999999959881929 :  None\n",
      "         11 :   0.0 :  4.999999959881929 :  None\n",
      "         12 :   0.0 :  4.999999959881929 :  None\n",
      "         13 :   0.0 :  4.999999959881929 :  None\n",
      "         14 :   0.0 :  4.999999959881929 :  None\n",
      "         15 :   0.0 :  4.999999959881929 :  None\n",
      "         16 :   0.0 : 4.9999999598819285 :  None\n",
      "         17 :   0.0 : 4.9999999598819285 :  None\n",
      "         18 :   0.0 :  4.999999959881927 :  None\n",
      "         19 :   0.0 :  4.999999959881914 :  None\n",
      "         20 :   0.0 :  4.870732748304531 :  None\n",
      "         21 :   0.0 :  4.477448683511384 :  None\n",
      "         22 :   0.0 : 3.9147995928976957 :  None\n",
      "         23 :   0.0 : 3.4988815196430627 :  None\n",
      "         24 :   0.0 : 2.5859501179898143 :  None\n",
      "         25 :   0.0 : 2.0310991628232777 :  None\n",
      "         26 :   0.0 :  1.480975166679717 :  None\n",
      "         27 :   0.0 : 1.8911041582839454 :  None\n",
      "         28 :   0.0 : 1.5469456984562218 :  None\n",
      "         29 :   0.0 : 1.4591117650808232 :  None\n",
      "         30 :   0.0 : 1.3975955871553563 :  None\n",
      "         31 :   0.0 : 1.6774751386269822 :  None\n",
      "         32 :   0.0 : 1.7178622277695679 :  None\n",
      "         33 :   0.0 :  2.094308438285192 :  None\n",
      "         34 :   0.0 :  3.010956484589337 :  None\n",
      "         35 :   0.0 : 3.6150244450716276 :  None\n",
      "         36 :   0.0 :  4.353372684971109 :  None\n",
      "         37 :   0.0 :  4.756771900747526 :  None\n",
      "         38 :   0.0 :  4.999999959881921 :  None\n",
      "         39 :   0.0 :  4.999999959881926 :  None\n",
      "         40 :   0.0 :  4.999999959881928 :  None\n",
      "         41 :   0.0 : 4.9999999598819285 :  None\n",
      "         42 :   0.0 :  4.999999959881929 :  None\n",
      "         43 :   0.0 :  4.999999959881929 :  None\n",
      "         44 :   0.0 :  4.999999959881929 :  None\n",
      "         45 :   0.0 :  4.999999959881929 :  None\n",
      "         46 :   0.0 :  4.999999959881929 :  None\n",
      "         47 :   0.0 :  4.999999959881929 :  None\n",
      "         48 :   0.0 :   4.99999995988193 :  None\n",
      "    mu4 : Size=48\n",
      "        Key : Lower : Body                    : Upper\n",
      "          1 :   0.0 : -2.1773517687235163e-09 :  None\n",
      "          2 :   0.0 : -2.1773517634472857e-09 :  None\n",
      "          3 :   0.0 : -2.1773517008049475e-09 :  None\n",
      "          4 :   0.0 : -2.1773516762993066e-09 :  None\n",
      "          5 :   0.0 :  -2.177351656404406e-09 :  None\n",
      "          6 :   0.0 : -2.1773516257970537e-09 :  None\n",
      "          7 :   0.0 :  -2.177351617113698e-09 :  None\n",
      "          8 :   0.0 :  -2.177351613607091e-09 :  None\n",
      "          9 :   0.0 : -2.1773516118348533e-09 :  None\n",
      "         10 :   0.0 :  -2.177351610249488e-09 :  None\n",
      "         11 :   0.0 : -2.1773516087337388e-09 :  None\n",
      "         12 :   0.0 :  -2.177351608217529e-09 :  None\n",
      "         13 :   0.0 : -2.1773516069893724e-09 :  None\n",
      "         14 :   0.0 : -2.1773516066840175e-09 :  None\n",
      "         15 :   0.0 : -2.1773516061087406e-09 :  None\n",
      "         16 :   0.0 :      0.7794228333115383 :  None\n",
      "         17 :   0.0 :      1.5588456967175324 :  None\n",
      "         18 :   0.0 :       2.338268560123526 :  None\n",
      "         19 :   0.0 :      3.8971142869355075 :  None\n",
      "         20 :   0.0 :       4.676536989963991 :  None\n",
      "         21 :   0.0 :       5.455959853369751 :  None\n",
      "         22 :   0.0 :       6.235382716775704 :  None\n",
      "         23 :   0.0 :       7.014805580181687 :  None\n",
      "         24 :   0.0 :      7.4045170118846695 :  None\n",
      "         25 :   0.0 :       7.794228443587659 :  None\n",
      "         26 :   0.0 :       8.573651306993646 :  None\n",
      "         27 :   0.0 :       7.794228443587658 :  None\n",
      "         28 :   0.0 :       7.794228443587651 :  None\n",
      "         29 :   0.0 :        7.79422844358765 :  None\n",
      "         30 :   0.0 :       7.794228443587648 :  None\n",
      "         31 :   0.0 :       7.794228443587654 :  None\n",
      "         32 :   0.0 :       7.404517011884657 :  None\n",
      "         33 :   0.0 :       7.014805580181666 :  None\n",
      "         34 :   0.0 :       6.235382716775685 :  None\n",
      "         35 :   0.0 :       5.455959853369701 :  None\n",
      "         36 :   0.0 :       4.676536989963742 :  None\n",
      "         37 :   0.0 :       3.897114126557851 :  None\n",
      "         38 :   0.0 :      2.3382685601235225 :  None\n",
      "         39 :   0.0 :       1.558845696717531 :  None\n",
      "         40 :   0.0 :      0.7794228333115378 :  None\n",
      "         41 :   0.0 : -2.1773516138448638e-09 :  None\n",
      "         42 :   0.0 : -2.1773516102436168e-09 :  None\n",
      "         43 :   0.0 :  -2.177351608600127e-09 :  None\n",
      "         44 :   0.0 :  -2.177351607378995e-09 :  None\n",
      "         45 :   0.0 : -2.1773516076115483e-09 :  None\n",
      "         46 :   0.0 :  -2.177351608039125e-09 :  None\n",
      "         47 :   0.0 :  -2.177351609347555e-09 :  None\n",
      "         48 :   0.0 : -2.1773516030739647e-09 :  None\n",
      "    mu5 : Size=48\n",
      "        Key : Lower : Body                   : Upper\n",
      "          1 :   0.0 : 2.1773517687235163e-09 :  None\n",
      "          2 :   0.0 : 2.1773517634472857e-09 :  None\n",
      "          3 :   0.0 : 2.1773517008049475e-09 :  None\n",
      "          4 :   0.0 : 2.1773516762993066e-09 :  None\n",
      "          5 :   0.0 :  2.177351656404406e-09 :  None\n",
      "          6 :   0.0 : 2.1773516257970537e-09 :  None\n",
      "          7 :   0.0 :  2.177351617113698e-09 :  None\n",
      "          8 :   0.0 :  2.177351613607091e-09 :  None\n",
      "          9 :   0.0 : 2.1773516118348533e-09 :  None\n",
      "         10 :   0.0 :  2.177351610249488e-09 :  None\n",
      "         11 :   0.0 : 2.1773516087337388e-09 :  None\n",
      "         12 :   0.0 :  2.177351608217529e-09 :  None\n",
      "         13 :   0.0 : 2.1773516069893724e-09 :  None\n",
      "         14 :   0.0 : 2.1773516066840175e-09 :  None\n",
      "         15 :   0.0 : 2.1773516061087406e-09 :  None\n",
      "         16 :   0.0 :  3.009445657497638e-08 :  None\n",
      "         17 :   0.0 :  3.009445741499156e-08 :  None\n",
      "         18 :   0.0 : 3.0094458432549754e-08 :  None\n",
      "         19 :   0.0 :  3.009446626526232e-08 :  None\n",
      "         20 :   0.0 :  1.904719778429078e-07 :  None\n",
      "         21 :   0.0 : 1.9047221316924713e-07 :  None\n",
      "         22 :   0.0 : 1.9047225479057286e-07 :  None\n",
      "         23 :   0.0 : 1.9047226662824418e-07 :  None\n",
      "         24 :   0.0 : 1.9047228095586352e-07 :  None\n",
      "         25 :   0.0 :  1.904722884480289e-07 :  None\n",
      "         26 :   0.0 : 1.9047229814876605e-07 :  None\n",
      "         27 :   0.0 : 1.9047229052215945e-07 :  None\n",
      "         28 :   0.0 : 1.9047229651151846e-07 :  None\n",
      "         29 :   0.0 : 1.9047229839490837e-07 :  None\n",
      "         30 :   0.0 : 1.9047229977206506e-07 :  None\n",
      "         31 :   0.0 :  1.904722940622226e-07 :  None\n",
      "         32 :   0.0 : 1.9047229321228916e-07 :  None\n",
      "         33 :   0.0 :   1.90472287269874e-07 :  None\n",
      "         34 :   0.0 :  1.904722746968742e-07 :  None\n",
      "         35 :   0.0 : 1.9047226319573985e-07 :  None\n",
      "         36 :   0.0 : 1.9047222756922559e-07 :  None\n",
      "         37 :   0.0 : 1.9047212284893992e-07 :  None\n",
      "         38 :   0.0 :  3.009446181828859e-08 :  None\n",
      "         39 :   0.0 :  3.009445859475057e-08 :  None\n",
      "         40 :   0.0 :  3.009445705775208e-08 :  None\n",
      "         41 :   0.0 : 2.1773516138448638e-09 :  None\n",
      "         42 :   0.0 : 2.1773516102436168e-09 :  None\n",
      "         43 :   0.0 :  2.177351608600127e-09 :  None\n",
      "         44 :   0.0 :  2.177351607378995e-09 :  None\n",
      "         45 :   0.0 : 2.1773516076115483e-09 :  None\n",
      "         46 :   0.0 :  2.177351608039125e-09 :  None\n",
      "         47 :   0.0 :  2.177351609347555e-09 :  None\n",
      "         48 :   0.0 : 2.1773516030739647e-09 :  None\n",
      "    mu6 : Size=48\n",
      "        Key : Lower : Body               : Upper\n",
      "          1 :   0.0 : 2.5001363630549243 :  None\n",
      "          2 :   0.0 : 2.4404749297495725 :  None\n",
      "          3 :   0.0 :  2.189898801170803 :  None\n",
      "          4 :   0.0 : 2.5239914684428557 :  None\n",
      "          5 :   0.0 : 2.3330810402465643 :  None\n",
      "          6 :   0.0 : 2.2853534181320048 :  None\n",
      "          7 :   0.0 :  2.285349964544363 :  None\n",
      "          8 :   0.0 : 2.3092144453582133 :  None\n",
      "          9 :   0.0 : 2.3569426976058825 :  None\n",
      "         10 :   0.0 : 2.3808003635018222 :  None\n",
      "         11 :   0.0 : 2.3330815182429188 :  None\n",
      "         12 :   0.0 : 2.3092072601086144 :  None\n",
      "         13 :   0.0 :  2.213747234371462 :  None\n",
      "         14 :   0.0 : 2.1421488430992213 :  None\n",
      "         15 :   0.0 : 2.0944205900331085 :  None\n",
      "         16 :   0.0 :  2.082490777468669 :  None\n",
      "         17 :   0.0 : 2.1182829115693123 :  None\n",
      "         18 :   0.0 :  2.189864083801247 :  None\n",
      "         19 :   0.0 :   2.11829931917777 :  None\n",
      "         20 :   0.0 : 2.3330736939698697 :  None\n",
      "         21 :   0.0 : 2.9999757988436486 :  None\n",
      "         22 :   0.0 :  2.999883170601264 :  None\n",
      "         23 :   0.0 : 0.0931682791435211 :  None\n",
      "         24 :   0.0 : 2.9996692137017584 :  None\n",
      "         25 :   0.0 : 2.9999653214783844 :  None\n",
      "         26 :   0.0 : 2.9996362511586554 :  None\n",
      "         27 :   0.0 :  0.942110975387084 :  None\n",
      "         28 :   0.0 : 2.9999674316978995 :  None\n",
      "         29 :   0.0 : 2.9999550845587315 :  None\n",
      "         30 :   0.0 :  2.999927961557794 :  None\n",
      "         31 :   0.0 : 0.2786004416023782 :  None\n",
      "         32 :   0.0 :  2.999952977883382 :  None\n",
      "         33 :   0.0 :  2.999873618092955 :  None\n",
      "         34 :   0.0 : 1.2275113840052119 :  None\n",
      "         35 :   0.0 :  2.999624655063594 :  None\n",
      "         36 :   0.0 : 1.8811276991284325 :  None\n",
      "         37 :   0.0 :  2.595597237500072 :  None\n",
      "         38 :   0.0 :  2.559823973373623 :  None\n",
      "         39 :   0.0 :  2.595596674901664 :  None\n",
      "         40 :   0.0 :  2.535956153190236 :  None\n",
      "         41 :   0.0 :  2.595610045940408 :  None\n",
      "         42 :   0.0 : 2.7626728616012386 :  None\n",
      "         43 :   0.0 :  2.929738431973644 :  None\n",
      "         44 :   0.0 : 2.9999998007659316 :  None\n",
      "         45 :   0.0 : 2.9999997936472367 :  None\n",
      "         46 :   0.0 : 2.9999997936472367 :  None\n",
      "         47 :   0.0 : 2.9999997927549797 :  None\n",
      "         48 :   0.0 : 2.9297565657623625 :  None\n",
      "    mu7 : Size=48\n",
      "        Key : Lower : Body                   : Upper\n",
      "          1 :   0.0 :    0.49986363694507596 :  None\n",
      "          2 :   0.0 :     0.5595250702504275 :  None\n",
      "          3 :   0.0 :     0.8101011988291968 :  None\n",
      "          4 :   0.0 :    0.47600853155714434 :  None\n",
      "          5 :   0.0 :     0.6669189597534356 :  None\n",
      "          6 :   0.0 :     0.7146465818679951 :  None\n",
      "          7 :   0.0 :      0.714650035455637 :  None\n",
      "          8 :   0.0 :     0.6907855546417865 :  None\n",
      "          9 :   0.0 :     0.6430573023941175 :  None\n",
      "         10 :   0.0 :      0.619199636498178 :  None\n",
      "         11 :   0.0 :     0.6669184817570815 :  None\n",
      "         12 :   0.0 :     0.6907927398913858 :  None\n",
      "         13 :   0.0 :     0.7862527656285381 :  None\n",
      "         14 :   0.0 :      0.857851156900779 :  None\n",
      "         15 :   0.0 :     0.9055794099668913 :  None\n",
      "         16 :   0.0 :     0.9175092225313308 :  None\n",
      "         17 :   0.0 :     0.8817170884306875 :  None\n",
      "         18 :   0.0 :      0.810135916198753 :  None\n",
      "         19 :   0.0 :     0.8817006808222303 :  None\n",
      "         20 :   0.0 :     0.6669263060301305 :  None\n",
      "         21 :   0.0 : 2.4201156351595022e-05 :  None\n",
      "         22 :   0.0 : 0.00011682939873623746 :  None\n",
      "         23 :   0.0 :      2.906831720856479 :  None\n",
      "         24 :   0.0 : 0.00033078629824140934 :  None\n",
      "         25 :   0.0 :  3.467852161570597e-05 :  None\n",
      "         26 :   0.0 : 0.00036374884134454585 :  None\n",
      "         27 :   0.0 :      2.057889024612916 :  None\n",
      "         28 :   0.0 : 3.2568302100434645e-05 :  None\n",
      "         29 :   0.0 :  4.491544126834331e-05 :  None\n",
      "         30 :   0.0 :  7.203844220614848e-05 :  None\n",
      "         31 :   0.0 :      2.721399558397622 :  None\n",
      "         32 :   0.0 : 4.7022116617922694e-05 :  None\n",
      "         33 :   0.0 : 0.00012638190704482234 :  None\n",
      "         34 :   0.0 :     1.7724886159947881 :  None\n",
      "         35 :   0.0 :  0.0003753449364063012 :  None\n",
      "         36 :   0.0 :     1.1188723008715675 :  None\n",
      "         37 :   0.0 :     0.4044027624999279 :  None\n",
      "         38 :   0.0 :    0.44017602662637695 :  None\n",
      "         39 :   0.0 :     0.4044033250983359 :  None\n",
      "         40 :   0.0 :      0.464043846809764 :  None\n",
      "         41 :   0.0 :     0.4043899540595919 :  None\n",
      "         42 :   0.0 :    0.23732713839876124 :  None\n",
      "         43 :   0.0 :    0.07026156802635627 :  None\n",
      "         44 :   0.0 :  1.992340682584068e-07 :  None\n",
      "         45 :   0.0 :  2.063527631033597e-07 :  None\n",
      "         46 :   0.0 : 2.0635276316337326e-07 :  None\n",
      "         47 :   0.0 :  2.072450202132417e-07 :  None\n",
      "         48 :   0.0 :    0.07024343423763736 :  None\n",
      "    mu8 : Size=48\n",
      "        Key : Lower : Body               : Upper\n",
      "          1 :   0.0 :  4.999999598774183 :  None\n",
      "          2 :   0.0 :  4.999999598774197 :  None\n",
      "          3 :   0.0 :  4.999999598774356 :  None\n",
      "          4 :   0.0 :   4.99999959877442 :  None\n",
      "          5 :   0.0 :  4.999999598774473 :  None\n",
      "          6 :   0.0 :  4.999999598774554 :  None\n",
      "          7 :   0.0 :  4.999999598774581 :  None\n",
      "          8 :   0.0 :  4.999999598774596 :  None\n",
      "          9 :   0.0 : 4.9999995987746075 :  None\n",
      "         10 :   0.0 :  4.999999598774621 :  None\n",
      "         11 :   0.0 :  4.999999598774635 :  None\n",
      "         12 :   0.0 :  4.999999598774649 :  None\n",
      "         13 :   0.0 :  4.999999598774667 :  None\n",
      "         14 :   0.0 :  4.999999598774687 :  None\n",
      "         15 :   0.0 :  4.999999598774712 :  None\n",
      "         16 :   0.0 : 4.9999995987747266 :  None\n",
      "         17 :   0.0 :   4.99999959877474 :  None\n",
      "         18 :   0.0 :  4.999999598774737 :  None\n",
      "         19 :   0.0 : 4.9999995987743455 :  None\n",
      "         20 :   0.0 : 4.7060447681418305 :  None\n",
      "         21 :   0.0 :  3.966594955380408 :  None\n",
      "         22 :   0.0 :  3.549841064964732 :  None\n",
      "         23 :   0.0 :  3.611436115662063 :  None\n",
      "         24 :   0.0 :  3.309602505715109 :  None\n",
      "         25 :   0.0 : 3.1746780878217464 :  None\n",
      "         26 :   0.0 : 2.7454494477938858 :  None\n",
      "         27 :   0.0 :  3.354855678048646 :  None\n",
      "         28 :   0.0 : 3.0588309761201202 :  None\n",
      "         29 :   0.0 : 2.9466675131407403 :  None\n",
      "         30 :   0.0 : 2.8081894108134886 :  None\n",
      "         31 :   0.0 :  3.101220754833933 :  None\n",
      "         32 :   0.0 :  2.977628670848269 :  None\n",
      "         33 :   0.0 :  3.090910153886398 :  None\n",
      "         34 :   0.0 :   3.41724632127184 :  None\n",
      "         35 :   0.0 : 3.4290916074830893 :  None\n",
      "         36 :   0.0 : 3.9019790715970304 :  None\n",
      "         37 :   0.0 :  4.428643262939546 :  None\n",
      "         38 :   0.0 :  4.999999598774612 :  None\n",
      "         39 :   0.0 :  4.999999598774734 :  None\n",
      "         40 :   0.0 :  4.999999598774772 :  None\n",
      "         41 :   0.0 :  4.999999598774785 :  None\n",
      "         42 :   0.0 :  4.999999598774773 :  None\n",
      "         43 :   0.0 :  4.999999598774763 :  None\n",
      "         44 :   0.0 :  4.999999598774756 :  None\n",
      "         45 :   0.0 :   4.99999959877475 :  None\n",
      "         46 :   0.0 :  4.999999598774744 :  None\n",
      "         47 :   0.0 :   4.99999959877474 :  None\n",
      "         48 :   0.0 :  4.999999188089532 :  None\n",
      "    mu9 : Size=48\n",
      "        Key : Lower : Body                   : Upper\n",
      "          1 :   0.0 : 4.0122581705642263e-07 :  None\n",
      "          2 :   0.0 : 4.0122580248260736e-07 :  None\n",
      "          3 :   0.0 : 4.0122564343093015e-07 :  None\n",
      "          4 :   0.0 :  4.012255795156423e-07 :  None\n",
      "          5 :   0.0 : 4.0122552647706756e-07 :  None\n",
      "          6 :   0.0 :  4.012254457144031e-07 :  None\n",
      "          7 :   0.0 :  4.012254189799962e-07 :  None\n",
      "          8 :   0.0 : 4.0122540408167134e-07 :  None\n",
      "          9 :   0.0 : 4.0122539222806083e-07 :  None\n",
      "         10 :   0.0 : 4.0122537935424206e-07 :  None\n",
      "         11 :   0.0 :  4.012253649244443e-07 :  None\n",
      "         12 :   0.0 :  4.012253509304864e-07 :  None\n",
      "         13 :   0.0 :  4.012253325666785e-07 :  None\n",
      "         14 :   0.0 :  4.012253131091428e-07 :  None\n",
      "         15 :   0.0 : 4.0122528809900704e-07 :  None\n",
      "         16 :   0.0 : 4.0122527303726194e-07 :  None\n",
      "         17 :   0.0 :  4.012252604750689e-07 :  None\n",
      "         18 :   0.0 :  4.012252626883872e-07 :  None\n",
      "         19 :   0.0 : 4.0122565432184527e-07 :  None\n",
      "         20 :   0.0 :    0.29395523185816946 :  None\n",
      "         21 :   0.0 :     1.0334050446195922 :  None\n",
      "         22 :   0.0 :     1.4501589350352682 :  None\n",
      "         23 :   0.0 :      1.388563884337937 :  None\n",
      "         24 :   0.0 :     1.6903974942848914 :  None\n",
      "         25 :   0.0 :     1.8253219121782536 :  None\n",
      "         26 :   0.0 :     2.2545505522061142 :  None\n",
      "         27 :   0.0 :     1.6451443219513542 :  None\n",
      "         28 :   0.0 :     1.9411690238798796 :  None\n",
      "         29 :   0.0 :     2.0533324868592597 :  None\n",
      "         30 :   0.0 :     2.1918105891865114 :  None\n",
      "         31 :   0.0 :     1.8987792451660674 :  None\n",
      "         32 :   0.0 :      2.022371329151731 :  None\n",
      "         33 :   0.0 :     1.9090898461136023 :  None\n",
      "         34 :   0.0 :     1.5827536787281602 :  None\n",
      "         35 :   0.0 :     1.5709083925169107 :  None\n",
      "         36 :   0.0 :     1.0980209284029694 :  None\n",
      "         37 :   0.0 :     0.5713567370604541 :  None\n",
      "         38 :   0.0 :  4.012253883275982e-07 :  None\n",
      "         39 :   0.0 :  4.012252662496501e-07 :  None\n",
      "         40 :   0.0 : 4.0122522782206723e-07 :  None\n",
      "         41 :   0.0 :   4.01225215167163e-07 :  None\n",
      "         42 :   0.0 :  4.012252271883857e-07 :  None\n",
      "         43 :   0.0 :  4.012252371319302e-07 :  None\n",
      "         44 :   0.0 : 4.0122524369787103e-07 :  None\n",
      "         45 :   0.0 : 4.0122525062916557e-07 :  None\n",
      "         46 :   0.0 : 4.0122525538560687e-07 :  None\n",
      "         47 :   0.0 : 4.0122526000375157e-07 :  None\n",
      "         48 :   0.0 :  8.119104675970798e-07 :  None\n",
      "    mu10 : Size=48\n",
      "        Key : Lower : Body               : Upper\n",
      "          1 :   0.0 :  4.760963074391246 :  None\n",
      "          2 :   0.0 :   4.75589771152363 :  None\n",
      "          3 :   0.0 :  4.683367185031606 :  None\n",
      "          4 :   0.0 :  4.640383857296765 :  None\n",
      "          5 :   0.0 :  4.594699364937737 :  None\n",
      "          6 :   0.0 :  4.498000125965127 :  None\n",
      "          7 :   0.0 :  4.454459651595596 :  None\n",
      "          8 :   0.0 :   4.42612179190636 :  None\n",
      "          9 :   0.0 :  4.400847204124243 :  None\n",
      "         10 :   0.0 :  4.370596282060758 :  None\n",
      "         11 :   0.0 :  4.332757052473931 :  None\n",
      "         12 :   0.0 :  4.290830405492066 :  None\n",
      "         13 :   0.0 :  4.227933495148588 :  None\n",
      "         14 :   0.0 :  4.147355277260517 :  None\n",
      "         15 :   0.0 :  4.017371458789582 :  None\n",
      "         16 :   0.0 : 3.9075469219257877 :  None\n",
      "         17 :   0.0 :  3.780197502170892 :  None\n",
      "         18 :   0.0 : 3.7207137104058914 :  None\n",
      "         19 :   0.0 :  4.639951079995576 :  None\n",
      "         20 :   0.0 :  4.999998154337608 :  None\n",
      "         21 :   0.0 :  4.999998154344874 :  None\n",
      "         22 :   0.0 :  4.999998154345667 :  None\n",
      "         23 :   0.0 :  4.999998154345425 :  None\n",
      "         24 :   0.0 :  4.999998154345882 :  None\n",
      "         25 :   0.0 :  4.999998154346029 :  None\n",
      "         26 :   0.0 :  4.999998154346527 :  None\n",
      "         27 :   0.0 :  4.999998154345716 :  None\n",
      "         28 :   0.0 :  4.999998154346127 :  None\n",
      "         29 :   0.0 :  4.999998154346263 :  None\n",
      "         30 :   0.0 :  4.999998154346432 :  None\n",
      "         31 :   0.0 :  4.999998154346087 :  None\n",
      "         32 :   0.0 :  4.999998154346267 :  None\n",
      "         33 :   0.0 :  4.999998154346162 :  None\n",
      "         34 :   0.0 :  4.999998154345745 :  None\n",
      "         35 :   0.0 :  4.999998154345825 :  None\n",
      "         36 :   0.0 :  4.999998154344968 :  None\n",
      "         37 :   0.0 :   4.99999815434261 :  None\n",
      "         38 :   0.0 :  4.255735475068959 :  None\n",
      "         39 :   0.0 : 3.7220000409360052 :  None\n",
      "         40 :   0.0 : 3.3995160239139484 :  None\n",
      "         41 :   0.0 : 3.2842987495114815 :  None\n",
      "         42 :   0.0 :   3.46516010351642 :  None\n",
      "         43 :   0.0 :  3.590142822939574 :  None\n",
      "         44 :   0.0 : 3.6642620910905777 :  None\n",
      "         45 :   0.0 : 3.7321330928427394 :  None\n",
      "         46 :   0.0 :   3.77477146586081 :  None\n",
      "         47 :   0.0 : 3.8119763082707996 :  None\n",
      "         48 :   0.0 :  4.999999267250803 :  None\n",
      "    mu11 : Size=48\n",
      "        Key : Lower : Body                   : Upper\n",
      "          1 :   0.0 :     0.2390369256087535 :  None\n",
      "          2 :   0.0 :    0.24410228847636978 :  None\n",
      "          3 :   0.0 :     0.3166328149683943 :  None\n",
      "          4 :   0.0 :    0.35961614270323455 :  None\n",
      "          5 :   0.0 :     0.4053006350622628 :  None\n",
      "          6 :   0.0 :     0.5019998740348723 :  None\n",
      "          7 :   0.0 :     0.5455403484044041 :  None\n",
      "          8 :   0.0 :     0.5738782080936395 :  None\n",
      "          9 :   0.0 :     0.5991527958757574 :  None\n",
      "         10 :   0.0 :      0.629403717939242 :  None\n",
      "         11 :   0.0 :     0.6672429475260693 :  None\n",
      "         12 :   0.0 :     0.7091695945079337 :  None\n",
      "         13 :   0.0 :     0.7720665048514117 :  None\n",
      "         14 :   0.0 :     0.8526447227394828 :  None\n",
      "         15 :   0.0 :     0.9826285412104176 :  None\n",
      "         16 :   0.0 :     1.0924530780742123 :  None\n",
      "         17 :   0.0 :      1.219802497829108 :  None\n",
      "         18 :   0.0 :     1.2792862895941084 :  None\n",
      "         19 :   0.0 :    0.36004892000442323 :  None\n",
      "         20 :   0.0 : 1.8456623921505672e-06 :  None\n",
      "         21 :   0.0 : 1.8456551260302145e-06 :  None\n",
      "         22 :   0.0 :  1.845654333144582e-06 :  None\n",
      "         23 :   0.0 : 1.8456545746015824e-06 :  None\n",
      "         24 :   0.0 :  1.845654118561132e-06 :  None\n",
      "         25 :   0.0 : 1.8456539707327638e-06 :  None\n",
      "         26 :   0.0 : 1.8456534724181465e-06 :  None\n",
      "         27 :   0.0 : 1.8456542834147997e-06 :  None\n",
      "         28 :   0.0 : 1.8456538731484402e-06 :  None\n",
      "         29 :   0.0 : 1.8456537378219612e-06 :  None\n",
      "         30 :   0.0 : 1.8456535677455366e-06 :  None\n",
      "         31 :   0.0 : 1.8456539135155627e-06 :  None\n",
      "         32 :   0.0 : 1.8456537328439938e-06 :  None\n",
      "         33 :   0.0 : 1.8456538381784705e-06 :  None\n",
      "         34 :   0.0 : 1.8456542552649815e-06 :  None\n",
      "         35 :   0.0 :  1.845654175129837e-06 :  None\n",
      "         36 :   0.0 : 1.8456550319256651e-06 :  None\n",
      "         37 :   0.0 : 1.8456573897077194e-06 :  None\n",
      "         38 :   0.0 :     0.7442645249310414 :  None\n",
      "         39 :   0.0 :      1.277999959063995 :  None\n",
      "         40 :   0.0 :     1.6004839760860516 :  None\n",
      "         41 :   0.0 :     1.7157012504885185 :  None\n",
      "         42 :   0.0 :       1.53483989648358 :  None\n",
      "         43 :   0.0 :      1.409857177060426 :  None\n",
      "         44 :   0.0 :     1.3357379089094221 :  None\n",
      "         45 :   0.0 :     1.2678669071572606 :  None\n",
      "         46 :   0.0 :     1.2252285341391902 :  None\n",
      "         47 :   0.0 :     1.1880236917292004 :  None\n",
      "         48 :   0.0 :  7.327491970063645e-07 :  None\n",
      "    mu12 : Size=48\n",
      "        Key : Lower : Body                : Upper\n",
      "          1 :   0.0 :                 7.0 :  None\n",
      "          2 :   0.0 :   7.125808717632871 :  None\n",
      "          3 :   0.0 :   7.254283415722388 :  None\n",
      "          4 :   0.0 :   7.420932075123573 :  None\n",
      "          5 :   0.0 :   7.610203538595756 :  None\n",
      "          6 :   0.0 :   7.823519471730611 :  None\n",
      "          7 :   0.0 :   8.087729741166878 :  None\n",
      "          8 :   0.0 :   8.374856049745016 :  None\n",
      "          9 :   0.0 :   8.676897021317497 :  None\n",
      "         10 :   0.0 :   8.992240407512151 :  None\n",
      "         11 :   0.0 :   9.323505331634959 :  None\n",
      "         12 :   0.0 :   9.674685639750843 :  None\n",
      "         13 :   0.0 :  10.047932604172976 :  None\n",
      "         14 :   0.0 :  10.454283205618001 :  None\n",
      "         15 :   0.0 :  10.903043395425179 :  None\n",
      "         16 :   0.0 :  11.420216121269704 :  None\n",
      "         17 :   0.0 :  11.995191234937284 :  None\n",
      "         18 :   0.0 :  12.637192359002185 :  None\n",
      "         19 :   0.0 :  13.310500741890769 :  None\n",
      "         20 :   0.0 :  13.499999982889857 :  None\n",
      "         21 :   0.0 :  13.360372219158487 :  None\n",
      "         22 :   0.0 :  12.869505794361615 :  None\n",
      "         23 :   0.0 :   12.18068127161688 :  None\n",
      "         24 :   0.0 :  11.521114397953504 :  None\n",
      "         25 :   0.0 :  10.718176559565086 :  None\n",
      "         26 :   0.0 :    9.85114962267724 :  None\n",
      "         27 :   0.0 :   8.780239081775902 :  None\n",
      "         28 :   0.0 :      7.998796500246 :  None\n",
      "         29 :   0.0 :   7.076742185299833 :  None\n",
      "         30 :   0.0 :   6.101410225438388 :  None\n",
      "         31 :   0.0 :    5.06030116697141 :  None\n",
      "         32 :   0.0 :   4.158381996914324 :  None\n",
      "         33 :   0.0 :   3.197756586963955 :  None\n",
      "         34 :   0.0 :   2.290939881456749 :  None\n",
      "         35 :   0.0 :  1.5391328554578507 :  None\n",
      "         36 :   0.0 :  0.7929523404092524 :  None\n",
      "         37 :   0.0 :  0.2713933708152272 :  None\n",
      "         38 :   0.0 :                 0.0 :  None\n",
      "         39 :   0.0 : 0.39171787254441526 :  None\n",
      "         40 :   0.0 :  1.0643492393645158 :  None\n",
      "         41 :   0.0 :  1.9067090361962435 :  None\n",
      "         42 :   0.0 :  2.8097095037661184 :  None\n",
      "         43 :   0.0 :   3.617519785017599 :  None\n",
      "         44 :   0.0 :   4.359549687625309 :  None\n",
      "         45 :   0.0 :   5.062569449100909 :  None\n",
      "         46 :   0.0 :   5.729867630706947 :  None\n",
      "         47 :   0.0 :   6.374724563356104 :  None\n",
      "         48 :   0.0 :                 7.0 :  None\n",
      "    mu13 : Size=48\n",
      "        Key : Lower : Body                   : Upper\n",
      "          1 :   0.0 :                    6.5 :  None\n",
      "          2 :   0.0 :      6.374191282367129 :  None\n",
      "          3 :   0.0 :      6.245716584277612 :  None\n",
      "          4 :   0.0 :      6.079067924876427 :  None\n",
      "          5 :   0.0 :      5.889796461404244 :  None\n",
      "          6 :   0.0 :      5.676480528269389 :  None\n",
      "          7 :   0.0 :     5.4122702588331215 :  None\n",
      "          8 :   0.0 :      5.125143950254983 :  None\n",
      "          9 :   0.0 :      4.823102978682503 :  None\n",
      "         10 :   0.0 :      4.507759592487849 :  None\n",
      "         11 :   0.0 :      4.176494668365041 :  None\n",
      "         12 :   0.0 :     3.8253143602491577 :  None\n",
      "         13 :   0.0 :     3.4520673958270236 :  None\n",
      "         14 :   0.0 :      3.045716794381998 :  None\n",
      "         15 :   0.0 :       2.59695660457482 :  None\n",
      "         16 :   0.0 :     2.0797838787302965 :  None\n",
      "         17 :   0.0 :     1.5048087650627158 :  None\n",
      "         18 :   0.0 :     0.8628076409978156 :  None\n",
      "         19 :   0.0 :    0.18949925810923196 :  None\n",
      "         20 :   0.0 : 1.7110142388286052e-08 :  None\n",
      "         21 :   0.0 :    0.13962778084151384 :  None\n",
      "         22 :   0.0 :     0.6304942056383853 :  None\n",
      "         23 :   0.0 :     1.3193187283831203 :  None\n",
      "         24 :   0.0 :     1.9788856020464958 :  None\n",
      "         25 :   0.0 :     2.7818234404349145 :  None\n",
      "         26 :   0.0 :     3.6488503773227583 :  None\n",
      "         27 :   0.0 :     4.7197609182240985 :  None\n",
      "         28 :   0.0 :         5.501203499754 :  None\n",
      "         29 :   0.0 :      6.423257814700167 :  None\n",
      "         30 :   0.0 :      7.398589774561612 :  None\n",
      "         31 :   0.0 :       8.43969883302859 :  None\n",
      "         32 :   0.0 :      9.341618003085676 :  None\n",
      "         33 :   0.0 :     10.302243413036045 :  None\n",
      "         34 :   0.0 :      11.20906011854325 :  None\n",
      "         35 :   0.0 :      11.96086714454215 :  None\n",
      "         36 :   0.0 :     12.707047659590748 :  None\n",
      "         37 :   0.0 :     13.228606629184773 :  None\n",
      "         38 :   0.0 :                   13.5 :  None\n",
      "         39 :   0.0 :     13.108282127455585 :  None\n",
      "         40 :   0.0 :     12.435650760635484 :  None\n",
      "         41 :   0.0 :     11.593290963803756 :  None\n",
      "         42 :   0.0 :     10.690290496233882 :  None\n",
      "         43 :   0.0 :      9.882480214982401 :  None\n",
      "         44 :   0.0 :      9.140450312374691 :  None\n",
      "         45 :   0.0 :       8.43743055089909 :  None\n",
      "         46 :   0.0 :      7.770132369293053 :  None\n",
      "         47 :   0.0 :      7.125275436643896 :  None\n",
      "         48 :   0.0 :                    6.5 :  None\n",
      "    mu14 : Size=49\n",
      "        Key : Lower : Body               : Upper\n",
      "          1 :   0.0 :                3.0 :  None\n",
      "          2 :   0.0 : 2.9999998544211195 :  None\n",
      "          3 :   0.0 : 2.9999998049709653 :  None\n",
      "          4 :   0.0 : 3.0000001986449156 :  None\n",
      "          5 :   0.0 :  2.999999809850081 :  None\n",
      "          6 :   0.0 : 2.9999998614216032 :  None\n",
      "          7 :   0.0 : 3.0000000223761987 :  None\n",
      "          8 :   0.0 : 3.0000001083568186 :  None\n",
      "          9 :   0.0 : 3.0000001538173073 :  None\n",
      "         10 :   0.0 : 3.0000001032486487 :  None\n",
      "         11 :   0.0 :  2.999999865384744 :  None\n",
      "         12 :   0.0 : 2.9999999271326345 :  None\n",
      "         13 :   0.0 :  2.999999817938029 :  None\n",
      "         14 :   0.0 : 2.9999998248288833 :  None\n",
      "         15 :   0.0 : 2.9999998457578307 :  None\n",
      "         16 :   0.0 :  2.999999962527216 :  None\n",
      "         17 :   0.0 : 3.0000001515596466 :  None\n",
      "         18 :   0.0 :  3.000000180626053 :  None\n",
      "         19 :   0.0 : 2.9999998238207937 :  None\n",
      "         20 :   0.0 :  3.000000207954514 :  None\n",
      "         21 :   0.0 : 3.0000001074327223 :  None\n",
      "         22 :   0.0 :  3.012851973750365 :  None\n",
      "         23 :   0.0 :  3.029561944535441 :  None\n",
      "         24 :   0.0 :  2.983218329491315 :  None\n",
      "         25 :   0.0 : 3.0000000247474397 :  None\n",
      "         26 :   0.0 : 3.0120787911589915 :  None\n",
      "         27 :   0.0 : 3.0282701738036195 :  None\n",
      "         28 :   0.0 :   3.00000004043633 :  None\n",
      "         29 :   0.0 : 3.0113059785764307 :  None\n",
      "         30 :   0.0 : 3.0275062354540445 :  None\n",
      "         31 :   0.0 :  3.043406546258616 :  None\n",
      "         32 :   0.0 : 3.0000000504959488 :  None\n",
      "         33 :   0.0 : 3.0097599288562087 :  None\n",
      "         34 :   0.0 : 3.0241590373480385 :  None\n",
      "         35 :   0.0 : 2.9999999921478313 :  None\n",
      "         36 :   0.0 : 3.0094951577194173 :  None\n",
      "         37 :   0.0 :  3.000000027240194 :  None\n",
      "         38 :   0.0 :  2.999999792592547 :  None\n",
      "         39 :   0.0 : 3.0000001169284545 :  None\n",
      "         40 :   0.0 :  2.999999861420992 :  None\n",
      "         41 :   0.0 :  3.000000153784743 :  None\n",
      "         42 :   0.0 : 3.0000001868489683 :  None\n",
      "         43 :   0.0 :  3.000000184930272 :  None\n",
      "         44 :   0.0 : 3.0000002075901016 :  None\n",
      "         45 :   0.0 :  3.000000000759563 :  None\n",
      "         46 :   0.0 :  3.000000000000007 :  None\n",
      "         47 :   0.0 : 3.0000000000018083 :  None\n",
      "         48 :   0.0 : 2.9999997924158848 :  None\n",
      "         49 :   0.0 : 3.0000002075763206 :  None\n",
      "    mu15 : Size=49\n",
      "        Key : Lower : Body               : Upper\n",
      "          1 :   0.0 :                3.0 :  None\n",
      "          2 :   0.0 : 3.0000001455788805 :  None\n",
      "          3 :   0.0 : 3.0000001950290347 :  None\n",
      "          4 :   0.0 : 2.9999998013550844 :  None\n",
      "          5 :   0.0 :  3.000000190149919 :  None\n",
      "          6 :   0.0 : 3.0000001385783968 :  None\n",
      "          7 :   0.0 : 2.9999999776238013 :  None\n",
      "          8 :   0.0 : 2.9999998916431814 :  None\n",
      "          9 :   0.0 : 2.9999998461826927 :  None\n",
      "         10 :   0.0 : 2.9999998967513513 :  None\n",
      "         11 :   0.0 :  3.000000134615256 :  None\n",
      "         12 :   0.0 : 3.0000000728673655 :  None\n",
      "         13 :   0.0 :  3.000000182061971 :  None\n",
      "         14 :   0.0 : 3.0000001751711167 :  None\n",
      "         15 :   0.0 : 3.0000001542421693 :  None\n",
      "         16 :   0.0 :  3.000000037472784 :  None\n",
      "         17 :   0.0 : 2.9999998484403534 :  None\n",
      "         18 :   0.0 :  2.999999819373947 :  None\n",
      "         19 :   0.0 : 3.0000001761792063 :  None\n",
      "         20 :   0.0 :  2.999999792045486 :  None\n",
      "         21 :   0.0 : 2.9999998925672777 :  None\n",
      "         22 :   0.0 :  2.987148026249635 :  None\n",
      "         23 :   0.0 :  2.970438055464559 :  None\n",
      "         24 :   0.0 :  3.016781670508685 :  None\n",
      "         25 :   0.0 : 2.9999999752525603 :  None\n",
      "         26 :   0.0 : 2.9879212088410085 :  None\n",
      "         27 :   0.0 : 2.9717298261963805 :  None\n",
      "         28 :   0.0 :   2.99999995956367 :  None\n",
      "         29 :   0.0 : 2.9886940214235693 :  None\n",
      "         30 :   0.0 : 2.9724937645459555 :  None\n",
      "         31 :   0.0 :  2.956593453741384 :  None\n",
      "         32 :   0.0 : 2.9999999495040512 :  None\n",
      "         33 :   0.0 : 2.9902400711437913 :  None\n",
      "         34 :   0.0 : 2.9758409626519615 :  None\n",
      "         35 :   0.0 : 3.0000000078521687 :  None\n",
      "         36 :   0.0 : 2.9905048422805827 :  None\n",
      "         37 :   0.0 :  2.999999972759806 :  None\n",
      "         38 :   0.0 :  3.000000207407453 :  None\n",
      "         39 :   0.0 : 2.9999998830715455 :  None\n",
      "         40 :   0.0 :  3.000000138579008 :  None\n",
      "         41 :   0.0 :  2.999999846215257 :  None\n",
      "         42 :   0.0 : 2.9999998131510317 :  None\n",
      "         43 :   0.0 :  2.999999815069728 :  None\n",
      "         44 :   0.0 : 2.9999997924098984 :  None\n",
      "         45 :   0.0 :  2.999999999240437 :  None\n",
      "         46 :   0.0 :  2.999999999999993 :  None\n",
      "         47 :   0.0 : 2.9999999999981917 :  None\n",
      "         48 :   0.0 : 3.0000002075841152 :  None\n",
      "         49 :   0.0 : 2.9999997924236794 :  None\n",
      "    mu16 : Size=49\n",
      "        Key : Lower : Body                    : Upper\n",
      "          1 :   0.0 :                     0.0 :  None\n",
      "          2 :   0.0 :   1.455788805060365e-07 :  None\n",
      "          3 :   0.0 :   1.950290346997008e-07 :  None\n",
      "          4 :   0.0 : -1.9864491562771036e-07 :  None\n",
      "          5 :   0.0 :   1.901499189216338e-07 :  None\n",
      "          6 :   0.0 :   1.385783967577936e-07 :  None\n",
      "          7 :   0.0 : -2.2376198671736347e-08 :  None\n",
      "          8 :   0.0 : -1.0835681862886304e-07 :  None\n",
      "          9 :   0.0 : -1.5381730733565746e-07 :  None\n",
      "         10 :   0.0 : -1.0324864874178274e-07 :  None\n",
      "         11 :   0.0 :  1.3461525583124967e-07 :  None\n",
      "         12 :   0.0 :   7.286736547484907e-08 :  None\n",
      "         13 :   0.0 :  1.8206197083259212e-07 :  None\n",
      "         14 :   0.0 :  1.7517111672304964e-07 :  None\n",
      "         15 :   0.0 :  1.5424216925907785e-07 :  None\n",
      "         16 :   0.0 :   3.747278398691378e-08 :  None\n",
      "         17 :   0.0 :  -1.515596466106217e-07 :  None\n",
      "         18 :   0.0 : -1.8062605278146293e-07 :  None\n",
      "         19 :   0.0 :  1.7617920633483664e-07 :  None\n",
      "         20 :   0.0 :  -2.079545140531991e-07 :  None\n",
      "         21 :   0.0 : -1.0743272227387024e-07 :  None\n",
      "         22 :   0.0 :       99.98714802624963 :  None\n",
      "         23 :   0.0 :       99.97043805546456 :  None\n",
      "         24 :   0.0 :      100.01678167050869 :  None\n",
      "         25 :   0.0 : -2.4747439653083347e-08 :  None\n",
      "         26 :   0.0 :       99.98792120884102 :  None\n",
      "         27 :   0.0 :       99.97172982619638 :  None\n",
      "         28 :   0.0 : -4.0436329840076723e-08 :  None\n",
      "         29 :   0.0 :       99.98869402142357 :  None\n",
      "         30 :   0.0 :       99.97249376454596 :  None\n",
      "         31 :   0.0 :       99.95659345374139 :  None\n",
      "         32 :   0.0 : -5.0495948755724385e-08 :  None\n",
      "         33 :   0.0 :       99.99024007114379 :  None\n",
      "         34 :   0.0 :       99.97584096265196 :  None\n",
      "         35 :   0.0 :     7.8521686930344e-09 :  None\n",
      "         36 :   0.0 :       99.99050484228059 :  None\n",
      "         37 :   0.0 :  -2.724019410038636e-08 :  None\n",
      "         38 :   0.0 :  2.0740745299008267e-07 :  None\n",
      "         39 :   0.0 : -1.1692845447441869e-07 :  None\n",
      "         40 :   0.0 :  1.3857900782454635e-07 :  None\n",
      "         41 :   0.0 : -1.5378474316207758e-07 :  None\n",
      "         42 :   0.0 :  -1.868489682976815e-07 :  None\n",
      "         43 :   0.0 :  -1.849302719847401e-07 :  None\n",
      "         44 :   0.0 :  -2.075901015530235e-07 :  None\n",
      "         45 :   0.0 :  -7.595630791001895e-10 :  None\n",
      "         46 :   0.0 :  -7.105427357601002e-15 :  None\n",
      "         47 :   0.0 :  -1.808331262509455e-12 :  None\n",
      "         48 :   0.0 :   2.075841152304747e-07 :  None\n",
      "         49 :   0.0 : -2.0757632057666342e-07 :  None\n",
      "    mu17 : Size=48\n",
      "        Key : Lower : Body                    : Upper\n",
      "          1 :   0.0 :                     0.0 :  None\n",
      "          2 :   0.0 :  -1.455788805060365e-07 :  None\n",
      "          3 :   0.0 :  -1.950290346997008e-07 :  None\n",
      "          4 :   0.0 :  1.9864491562771036e-07 :  None\n",
      "          5 :   0.0 :  -1.901499189216338e-07 :  None\n",
      "          6 :   0.0 :  -1.385783967577936e-07 :  None\n",
      "          7 :   0.0 :  2.2376198671736347e-08 :  None\n",
      "          8 :   0.0 :  1.0835681862886304e-07 :  None\n",
      "          9 :   0.0 :  1.5381730733565746e-07 :  None\n",
      "         10 :   0.0 :  1.0324864874178274e-07 :  None\n",
      "         11 :   0.0 : -1.3461525583124967e-07 :  None\n",
      "         12 :   0.0 :  -7.286736547484907e-08 :  None\n",
      "         13 :   0.0 : -1.8206197083259212e-07 :  None\n",
      "         14 :   0.0 : -1.7517111672304964e-07 :  None\n",
      "         15 :   0.0 : -1.5424216925907785e-07 :  None\n",
      "         16 :   0.0 :  -3.747278398691378e-08 :  None\n",
      "         17 :   0.0 :   1.515596466106217e-07 :  None\n",
      "         18 :   0.0 :  1.8062605278146293e-07 :  None\n",
      "         19 :   0.0 : -1.7617920633483664e-07 :  None\n",
      "         20 :   0.0 :   2.079545140531991e-07 :  None\n",
      "         21 :   0.0 :  1.0743272227387024e-07 :  None\n",
      "         22 :   0.0 :      100.01285197375037 :  None\n",
      "         23 :   0.0 :      100.02956194453544 :  None\n",
      "         24 :   0.0 :       99.98321832949131 :  None\n",
      "         25 :   0.0 :  2.4747439653083347e-08 :  None\n",
      "         26 :   0.0 :      100.01207879115898 :  None\n",
      "         27 :   0.0 :      100.02827017380362 :  None\n",
      "         28 :   0.0 :  4.0436329840076723e-08 :  None\n",
      "         29 :   0.0 :      100.01130597857643 :  None\n",
      "         30 :   0.0 :      100.02750623545404 :  None\n",
      "         31 :   0.0 :      100.04340654625861 :  None\n",
      "         32 :   0.0 :  5.0495948755724385e-08 :  None\n",
      "         33 :   0.0 :      100.00975992885621 :  None\n",
      "         34 :   0.0 :      100.02415903734804 :  None\n",
      "         35 :   0.0 :    -7.8521686930344e-09 :  None\n",
      "         36 :   0.0 :      100.00949515771941 :  None\n",
      "         37 :   0.0 :   2.724019410038636e-08 :  None\n",
      "         38 :   0.0 : -2.0740745299008267e-07 :  None\n",
      "         39 :   0.0 :  1.1692845447441869e-07 :  None\n",
      "         40 :   0.0 : -1.3857900782454635e-07 :  None\n",
      "         41 :   0.0 :  1.5378474316207758e-07 :  None\n",
      "         42 :   0.0 :   1.868489682976815e-07 :  None\n",
      "         43 :   0.0 :   1.849302719847401e-07 :  None\n",
      "         44 :   0.0 :   2.075901015530235e-07 :  None\n",
      "         45 :   0.0 :   7.595630791001895e-10 :  None\n",
      "         46 :   0.0 :   7.105427357601002e-15 :  None\n",
      "         47 :   0.0 :   1.808331262509455e-12 :  None\n",
      "         48 :   0.0 :  -2.075841152304747e-07 :  None\n",
      "lambda5: 0.012820507116170816\n",
      "lambda6: -0.012820517011383866\n",
      "lambda7: -1.2287406260366254\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Import required packages #\n",
    "import pyomo.environ as pyo\n",
    "from pyomo.opt import SolverFactory\n",
    "import numpy as np\n",
    "from pyomo.core.base import (ConcreteModel,Set,Var,Objective,Constraint,\n",
    "                             Param, NonNegativeReals,PositiveReals, Reals)\n",
    "import os\n",
    "import pandas as pd\n",
    "import json\n",
    "from pyomo.environ import *\n",
    "import random\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "\n",
    "# Funcion for generating randomized occupancy vector\n",
    "def generate_occupancy_signal(time_array):\n",
    "    # 24 hours of data plus one extra time step\n",
    "    signal_length = 49\n",
    "    \n",
    "    # Generate a signal of 0s intially\n",
    "    signal = [0] * signal_length\n",
    "\n",
    "    # Assume home between 6 PM and 8 AM \n",
    "    for i,time in enumerate(time_array):\n",
    "        if time <= 800 or time >=  1800:\n",
    "            signal[i] = 1\n",
    "        \n",
    "    # Set final time step value based on previous value\n",
    "    signal[-1] = signal[-2]\n",
    "\n",
    "    # Randomly set other values to 1 or 0\n",
    "    for i in range(signal_length):\n",
    "        if signal[i] == 0 and random.random() < 0.2:\n",
    "            signal[i] = 1\n",
    "\n",
    "    return signal\n",
    "\n",
    "# Function for updating occupancy vector for next time step\n",
    "def update_occupancy(Occupancy, time_array_new):\n",
    "    del Occupancy[0]  # Delete the first element\n",
    "\n",
    "    # Gennerate new time point data (Assume home between 6 PM and 8 AM, other points random)\n",
    "    if (time_array_new[-1] <= 800 or time_array_new[-1] >=  1800) or random.random() < 0.2:\n",
    "        new_val = 1\n",
    "    else:\n",
    "        new_val = 0\n",
    "        \n",
    "    Occupancy.append(new_val)\n",
    "    return Occupancy\n",
    "\n",
    "# Optimizer controller     \n",
    "class controller:\n",
    "\n",
    "    # Inital building temperature and SOC (should be fed back as input after first execution)\n",
    "    inital_temp = 21\n",
    "    inital_SoC = 6.5 # 50 percent\n",
    "    period_end =  48 # End point of time period relative to the inital loop run\n",
    "    \n",
    "    def controller_model(self,T_out, Load, Ins_PV, Im_tariff, Ex_tariff, Occupancy):\n",
    "        \n",
    "        ### PYOMO MODEL ###\n",
    "        \n",
    "        # Create the model object:\n",
    "        m = ConcreteModel()\n",
    "\n",
    "        # Indices for each timestep, here i= 1 to 48\n",
    "        m.TS = Set(initialize=[i+1 for i in range(48)])\n",
    "\n",
    "        # Time step between data in hours (30 minutes = 0.5 hours)\n",
    "        m.dt = 0.5 \n",
    "\n",
    "        # Load usage data as model parameter\n",
    "        m.P_Load =  Param(m.TS,initialize={i: Load[i-1] for i in m.TS}) # Set as parameter of model\n",
    "\n",
    "        # Tariff (assuming same price for export and import and constant)\n",
    "        m.import_tariff = Param(m.TS, initialize= Im_tariff) # $ per kwh\n",
    "        m.export_tariff = Param(m.TS, initialize= Ex_tariff) # $ per kwh\n",
    "\n",
    "        ### INPUTS ###\n",
    "\n",
    "        # The SoC should always return to 50 percent at the same time in every time horizon\n",
    "        target_SoC = 6.5\n",
    "\n",
    "        # Power flow error tolerance (increase to avoid infeasabilities)\n",
    "        error_tolerance = 0.001 # kW\n",
    "        \n",
    "        # Number of occupants\n",
    "        occupants = 2\n",
    "\n",
    "        # Minimum and maximum temperature of the house (comfort constraint)\n",
    "        temp_min = 18 # Degrees\n",
    "        temp_max = 24 # Degrees\n",
    "        temp_pref = 21 # Degrees\n",
    "\n",
    "        # Angle of panels\n",
    "        panel_angle = 30  # Inclination in deg\n",
    "\n",
    "        # Area of panels\n",
    "        Area = 50 # m2\n",
    "\n",
    "        # Panel efficency \n",
    "        eta_PV = 0.18 # 18% defined as PV_max (kW)/[Area (m2)*1 (kW/m2)]\n",
    "\n",
    "        # Heat pump max output\n",
    "        EHP_heat_max = 3 # kWth \n",
    "\n",
    "        # Battery max charge/discharge rate in kw\n",
    "        BESS_max = 5 \n",
    "\n",
    "        # Battery minimum SOC \n",
    "        SoC_min = 0\n",
    "\n",
    "        # Battery maximum SOC \n",
    "        SoC_max = 13.5 # kWh\n",
    "\n",
    "        # Battery charging efficency\n",
    "        eta_ch = 0.95 \n",
    "\n",
    "        # Battery discharging efficiency\n",
    "        eta_dis = 0.95 \n",
    "\n",
    "        # Battery self-consumption losses (typically very small values, assumed here to be zero for simplicity)\n",
    "        BESS_losses = 0 \n",
    "\n",
    "        # Building thermal capacitance which reflects its thermal inertia and therefore its ability to absorb, store and release heat\n",
    "        Cb = 23.16 # kWh/K \n",
    "\n",
    "        # Building material thermal resistance which reflects its ability to resist heat flow\n",
    "        Rb= 8.38 # K/kW \n",
    "\n",
    "        # Absorbed solar radiation which depends on the building structure\n",
    "        SHGC = 0 # For buildings with double glazed windows, typical valuesfor the Solar Heat Gain Coefficient (SHGC) are in the range of 0.42 - 0.55. However, in this example we assume it to be zero.\n",
    "\n",
    "        # Heat gain per occupant\n",
    "        heat_gains = 0.12 # kW/occupant\n",
    "\n",
    "        # Export limit in kW\n",
    "        export_lim = 5\n",
    "\n",
    "        ### PV MODEL ###\n",
    "\n",
    "        # Parameters\n",
    "        # Calculate the cosine of the panel inclination angle\n",
    "        cosine_angle = math.cos(math.radians(panel_angle))\n",
    "        m.PV_f=Param(m.TS,initialize={i: eta_PV*Area*Ins_PV[i-1] * cosine_angle for i in m.TS}) # PV forecasted power output: eta_PV*Ins_PV(t)*Area \n",
    "\n",
    "        # Decision variables\n",
    "        m.PV_curt = Var(m.TS,initialize=0,domain=NonNegativeReals)  # PV curtailment resulting from the optimization model\n",
    "        \n",
    "        ### EHP MODEL ###\n",
    "\n",
    "        # Parameters\n",
    "        COP_T = 0.25* T_out + 1 # COP(T_out) as a linear function of the outdoor temperature with slope=4\n",
    "        m.COP = Param(m.TS,initialize={i: COP_T[i-1] for i in m.TS}) # Store COP vector as time series parameter\n",
    "\n",
    "        # Decision variables\n",
    "        m.ehp_E_input = Var(m.TS,initialize=0,domain=NonNegativeReals) # EHP electrical power input (kW) \n",
    "\n",
    "        ### BESS MODEL ###\n",
    "\n",
    "        # Bounds definitions for variables\n",
    "        # Discharge cannot be greater than limit\n",
    "        def BESS_ch_dis_rule(model,i):\n",
    "            return (0,BESS_max)\n",
    "        # SOC cannot be less than minimum value and more than maximum value\n",
    "        def SoC_rule(model,i):\n",
    "            return (SoC_min,SoC_max)\n",
    "\n",
    "        # Decision variables\n",
    "        m.BESS_ch = Var(m.TS,initialize=0,bounds=BESS_ch_dis_rule) # Battery charging (consuming) power\n",
    "        m.BESS_dis = Var(m.TS,initialize=0,bounds=BESS_ch_dis_rule) # Battery discharging (generating) power \n",
    "        m.SoC = Var(m.TS,initialize=self.inital_SoC,bounds=SoC_rule) # Battery SOC\n",
    "\n",
    "        # Constraints\n",
    "        def BESS_rule(model,i):\n",
    "            if i==1: # SoC at the start of the time horizon is equal to the SoC at the end\n",
    "                i0=model.TS[-1]\n",
    "            else:\n",
    "                i0=i-1\n",
    "            return model.SoC[i]-model.SoC[i0] - ((eta_ch*model.BESS_ch[i0])-(model.BESS_dis[i0]/eta_dis)-BESS_losses)*model.dt == 0\n",
    "        m.lambda3 = Constraint(m.TS, rule=BESS_rule)\n",
    "        # Set inital SOC to given inital value\n",
    "        m.lambda5 = Constraint(rule=lambda m: m.SoC[1] - self.inital_SoC== 0)\n",
    "        # Set at starting time point SOC to inital value \n",
    "        m.lambda6 = Constraint(rule=lambda m: m.SoC[self.period_end]-target_SoC == 0)\n",
    "\n",
    "\n",
    "        ### BUILDING MODEL ###\n",
    "\n",
    "        # Parameters\n",
    "        m.TS_aux = Set(initialize=[i+1 for i in range(49)]) # Auxiliary time \n",
    "        m.Temp_Out = Param(m.TS, initialize={i: T_out[i-1] for i in m.TS}) # Prediction of outdoor temperature \n",
    "        m.Sol = Param(m.TS, initialize={i: SHGC*Ins_PV[i-1] for i in m.TS}) # The kWh solar gain, that is the heat increase of a structure resulting from solar radiation \n",
    "        Int_Heat_Gains_Data = heat_gains*occupants # Heat gain due to occupants \n",
    "        Int = [i*Int_Heat_Gains_Data for i in Occupancy] # Heat gain at each time step\n",
    "        m.Int = Param(m.TS, initialize={i: Int[i-1] for i in m.TS}) # Heat coming from the presence of occupants in the building (metabolic gain)\n",
    "        m.Occ = Param(m.TS_aux, initialize={i: Occupancy[i-1] for i in m.TS_aux})\n",
    "        \n",
    "        # Variables\n",
    "        m.temp = Var(m.TS_aux, initialize=self.inital_temp, bounds=(temp_min,temp_max)) # Inside temperature of the building\n",
    "        m.alpha = Var(m.TS_aux,initialize=0,bounds=(0,1)) # Alpha (ventilation variable)\n",
    "\n",
    "        # Constraints\n",
    "        # Set inital temperature to inital value input (cant be controlled)\n",
    "        m.lambda7 = Constraint(rule=lambda m: m.temp[1]- self.inital_temp == 0)\n",
    "             \n",
    "        # Temperature evolution depends on the heat transfers and building characteristics.\n",
    "        # The heat energy from the pump is equal to the output heat power of the pump multiplied by the time step length (joins heat pump and building model)\n",
    "        m.lambda4 = Constraint(m.TS, rule=lambda m, i: m.temp[i+1] - (m.temp[i]+((m.ehp_E_input[i]*m.COP[i]) + (1-m.alpha[i])*(m.Int[i]+m.Sol[i])-(m.temp[i]-m.Temp_Out[i])*(1/Rb))*m.dt*(1/Cb))== 0)\n",
    "        \n",
    "        ### POWER FLOW MODEL ###\n",
    "\n",
    "        # Variables\n",
    "        m.P_in = Var(m.TS,initialize=0,domain=NonNegativeReals) # Power flowing in is positive\n",
    "        m.P_out = Var(m.TS,initialize=0,bounds=(-export_lim,0)) # Power flowing out is negative and bounded by export limit\n",
    "        m.error =  Var(m.TS,initialize=0,bounds=(-error_tolerance,error_tolerance))\n",
    "\n",
    "        # Constraints\n",
    "        # Power cannot be flowing in and out at the same time. So either P_in or P_out should be equal to 0 at every time point.\n",
    "        def Direction(model,i):\n",
    "            return model.P_in[i]*model.P_out[i]+m.error[i] == 0\n",
    "        m.lambda2 = Constraint(m.TS,rule=Direction)\n",
    "        # Net power flowing in or out is equal to the difference between the load and generation of the house. The net flow is either equal to the flow in (P_in) or the flow out (P_out). If net power is positive P_out should be 0 and if net power is negative P_in should be negative.\n",
    "        def Power_flow(model,i):\n",
    "            return model.P_in[i] + model.P_out[i] - (model.P_Load[i]+model.ehp_E_input[i] - (m.BESS_dis[i]-m.BESS_ch[i]) -(model.PV_f[i] - model.PV_curt[i]))== 0\n",
    "        m.lambda1 = Constraint(m.TS,rule=Power_flow)\n",
    "        \n",
    "        \n",
    "        # Inequalities for all models\n",
    "        m.mu1 = Constraint(m.TS, rule=lambda m, i: m.P_in[i] >= 0)\n",
    "        m.mu2 = Constraint(m.TS, rule=lambda m, i: -m.P_out[i] >= 0)\n",
    "        m.mu3 = Constraint(m.TS, rule=lambda m, i: m.P_out[i] + export_lim >= 0)\n",
    "        m.mu4 = Constraint(m.TS, rule=lambda m, i: -(m.PV_curt[i] - m.PV_f[i]) >= 0)\n",
    "        m.mu5 = Constraint(m.TS, rule=lambda m, i: m.PV_curt[i] >= 0)\n",
    "        m.mu6 = Constraint(m.TS, rule=lambda m, i: (EHP_heat_max - (m.ehp_E_input[i] * m.COP[i])) >= 0)\n",
    "        m.mu7 = Constraint(m.TS, rule=lambda m, i: m.ehp_E_input[i] * m.COP[i] >= 0)\n",
    "        m.mu8 = Constraint(m.TS, rule=lambda m, i: BESS_max - m.BESS_ch[i] >= 0)\n",
    "        m.mu9 = Constraint(m.TS, rule=lambda m, i: m.BESS_ch[i] >= 0)\n",
    "        m.mu10 = Constraint(m.TS, rule=lambda m, i: BESS_max - m.BESS_dis[i] >= 0)\n",
    "        m.mu11 = Constraint(m.TS, rule=lambda m, i: m.BESS_dis[i] >= 0)\n",
    "        m.mu12 = Constraint(m.TS, rule=lambda m, i: SoC_max - m.SoC[i] >= 0)\n",
    "        m.mu13 = Constraint(m.TS, rule=lambda m, i: m.SoC[i] - SoC_min >= 0)\n",
    "        m.mu14 = Constraint(m.TS_aux, rule=lambda m, i: temp_max - m.temp[i] >= 0)\n",
    "        m.mu15 = Constraint(m.TS_aux, rule=lambda m, i: m.temp[i] - temp_min >= 0)\n",
    "        m.mu16 = Constraint(m.TS_aux, rule=lambda m, i: m.temp[i] - (temp_pref - 100*(1-m.Occ[i])) >= 0)\n",
    "        m.mu17 = Constraint(m.TS, rule=lambda m, i: temp_pref + 100*(1-m.Occ[i]) - m.temp[i] >= 0)\n",
    "\n",
    "\n",
    "\n",
    "        ### OBJECTIVE FUNCTION ###\n",
    "\n",
    "        # Define the objective function (minimize the total cost), where the cost is equal to the energy (net power flow multiplied by the time step) multiplied by the tariff for each direction\n",
    "        m.objective = pyo.Objective(expr=sum((m.import_tariff[i]*m.P_in[i] + m.export_tariff[i]*m.P_out[i])*m.dt  for i in m.TS),sense=minimize)\n",
    "\n",
    "        # Create a 'dual' suffix component on the instance\n",
    "        # so the solver plugin will know which suffixes to collect\n",
    "        m.dual = pyo.Suffix(direction=pyo.Suffix.IMPORT)\n",
    "\n",
    "        ### USE MODEL ###\n",
    "        solver = pyo.SolverFactory('ipopt')\n",
    "        results = solver.solve(m)\n",
    "\n",
    "        ### RESULTS  ###\n",
    "        print(f\"Total cost: {pyo.value(m.objective):.2f}\")\n",
    "        # Uncomment this line to see results printed out\n",
    "        m.display()\n",
    "\n",
    "        \n",
    "        # Create lists to store the constraint names and dual values for each category\n",
    "        constraint_names_l = []\n",
    "        dual_values_l = []\n",
    "        constraint_names_m = []\n",
    "        dual_values_m = []\n",
    "\n",
    "        # Iterate over constraints and store dual values in the appropriate lists\n",
    "        for c in m.component_objects(pyo.Constraint, active=True):\n",
    "            constraint_name = str(c)\n",
    "            dual_value_list = []\n",
    "\n",
    "            for index in c:\n",
    "                dual_value_list.append(m.dual[c[index]])\n",
    "\n",
    "            if len(dual_value_list) == 1:\n",
    "                print(constraint_name + \": \" + str(dual_value_list[0]))\n",
    "            elif constraint_name.startswith('l'):\n",
    "                constraint_names_l.append(constraint_name)\n",
    "                dual_values_l.append(dual_value_list)\n",
    "            elif constraint_name.startswith('m'):\n",
    "                constraint_names_m.append(constraint_name)\n",
    "                dual_values_m.append(dual_value_list)\n",
    "\n",
    "        # Sort the constraint names for each category\n",
    "        constraint_names_l_sorted = sorted(constraint_names_l)\n",
    "\n",
    "        # Plot dual values for constraints with labels starting with \"l\"\n",
    "        if len(constraint_names_l_sorted) > 0:\n",
    "            plt.figure()\n",
    "            for i in range(len(constraint_names_l_sorted)):\n",
    "                plt.plot(range(1, len(dual_values_l[i]) + 1), dual_values_l[i], label=constraint_names_l_sorted[i])\n",
    "            plt.xlabel('Time Step')\n",
    "            plt.ylabel('Dual Value')\n",
    "            plt.title('Dual Values for equality constraints')\n",
    "            plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
    "            plt.show()\n",
    "\n",
    "        # Plot dual values for constraints with labels starting with \"m\"\n",
    "        if len(constraint_names_m) > 0:\n",
    "            num_plots = len(constraint_names_m) // 10 + 1  # Number of subplots needed\n",
    "            for i in range(num_plots):\n",
    "                start_idx = i * 10\n",
    "                end_idx = (i + 1) * 10\n",
    "                constraints = constraint_names_m[start_idx:end_idx]\n",
    "                dual_values = dual_values_m[start_idx:end_idx]\n",
    "\n",
    "                plt.figure()\n",
    "                for j in range(len(constraints)):\n",
    "                    plt.plot(range(1, len(dual_values[j]) + 1), dual_values[j], label=constraints[j])\n",
    "                plt.xlabel('Time Step')\n",
    "                plt.ylabel('Dual Value')\n",
    "                plt.title('Dual Values for inequality constraints')\n",
    "                plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
    "                plt.show()\n",
    "\n",
    "\n",
    "        ### SET INITAL VALUES FOR NEXT EXECUTION ###\n",
    "        self.inital_temp = value(m.temp[1])\n",
    "        self.inital_SoC = value(m.SoC[1])\n",
    "        if self.period_end == 1:\n",
    "            self.period_end = 48\n",
    "        else: \n",
    "            self.period_end = self.period_end-1\n",
    "\n",
    "\n",
    "        return m\n",
    "    \n",
    "\n",
    "def plot_forecast(m, time_values):\n",
    "    # Extract values\n",
    "    BESS_net_values = [pyo.value(m.BESS_dis[i])-pyo.value(m.BESS_ch[i]) for i in m.TS]  \n",
    "    SoC_values = [pyo.value(m.SoC[i]) for i in m.TS]\n",
    "    PV_values = [pyo.value(m.PV_f[i]) - pyo.value(m.PV_curt[i]) for i in m.TS] \n",
    "    PV_f_values = [pyo.value(m.PV_f[i]) for i in m.TS]\n",
    "    P_net_values = [pyo.value(m.P_in[i])+pyo.value(m.P_out[i]) for i in m.TS]\n",
    "    error_values = [pyo.value(m.error[i]) for i in m.TS]\n",
    "    EHP_values = [pyo.value(m.ehp_E_input[i]) for i in m.TS]\n",
    "    temp_values = [pyo.value(m.temp[i]) for i in m.TS]\n",
    "\n",
    "    # Plot P_in vs time\n",
    "    plt.plot(time_values, P_net_values)\n",
    "    plt.xlabel('Time (s)')\n",
    "    plt.ylabel('Net power flow (kW)')\n",
    "    plt.title('Net power Flow vs Time')\n",
    "    plt.show()\n",
    "\n",
    "    # Plot error vs time\n",
    "    plt.plot(time_values, error_values, linestyle='dotted')\n",
    "    plt.xlabel('Time (s)')\n",
    "    plt.ylabel('P_net error (kW)')\n",
    "    plt.title('Error vs Time')\n",
    "    plt.show()\n",
    "\n",
    "    # Plot BESS_net vs time\n",
    "    plt.plot(time_values, BESS_net_values)\n",
    "    plt.xlabel('Time (s)')\n",
    "    plt.ylabel('BESS power output (kW) ')\n",
    "    plt.title('Battery power output vs Time')\n",
    "    plt.show()\n",
    "\n",
    "    # Plot SoC vs time\n",
    "    plt.plot(time_values, SoC_values)\n",
    "    plt.xlabel('Time (s)')\n",
    "    plt.ylabel('SoC (kWh)')\n",
    "    plt.title('Battery energy stored vs Time')\n",
    "    plt.show()\n",
    "\n",
    "    # Plot PV vs time\n",
    "    plt.plot(time_values, PV_values, label='Generated PV power')\n",
    "    plt.plot(time_values, PV_f_values, linestyle='dotted', label='Forcasted PV power')\n",
    "    plt.xlabel('Time (s)')\n",
    "    plt.ylabel('Power (kW)')\n",
    "    plt.title('PV output vs Time')\n",
    "    plt.legend()\n",
    "    plt.show()\n",
    "\n",
    "    # Load vs time\n",
    "    plt.plot(time_values, EHP_values, label='EHP load')\n",
    "    plt.plot(time_values, Load, label='Household load')\n",
    "    plt.xlabel('Time (s)')\n",
    "    plt.ylabel('Load (kW)')\n",
    "    plt.title('Load vs Time')\n",
    "    plt.legend()\n",
    "    plt.show()\n",
    "\n",
    "    # Indoor temp vs time\n",
    "    plt.plot(time_values, temp_values)\n",
    "    plt.xlabel('Time (s)')\n",
    "    plt.ylabel('Indoor temperature (deg C)')\n",
    "    plt.title('Indoor temperature vs Time')\n",
    "    plt.show()\n",
    "\n",
    "    return\n",
    "\n",
    "# Generate initial data for 24 hours \n",
    "################################################ DUMMY DATA TO BE REPLACED WITH ML ################################################\n",
    "\n",
    "# Outside temperature data\n",
    "#http://www.bom.gov.au/products/IDV60901/IDV60901.95936.shtml#other_formats\n",
    "mydir = os.getcwd()\n",
    "loc = mydir + '/temp.json'\n",
    "f = open(loc)\n",
    "data = json.load(f)\n",
    "weather = data['observations']['data'] #This gives all kind of information as a dict at every time point\n",
    "temp = [] # Temperature array\n",
    "for t in weather[0:48]: #can choose how many data point here up to 72.\n",
    "    temp.append(t['air_temp']) \n",
    "T_out = np.array(temp) # Numpy array of outside temps and convert to kW\n",
    "\n",
    "Load = [0.5, 0.5, 0.7, 1.0, 1.2, 2.0, 2.5, 2.8, 3.0, 3.2, 3.4, 3.5, 3.7, 3.8, 4.0, 4.1, 4.2, 4.3, 4.2, 4.1, 3.9, 3.7, 3.5, 3.3, 3.0, 2.8, 2.6, 2.4, 2.2, 2.0, 2.0, 2.1, 2.2, 2.3, 2.5, 2.7, 3.0, 3.3, 3.5, 3.7, 4.0, 4.2, 4.3, 4.4, 4.3, 4.2, 4.0, 3.8]\n",
    "\n",
    "# Insolation (kW/m2) data\n",
    "Ins_PV = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.2, 0.3, 0.5, 0.6, 0.7, 0.8, 0.9, 0.95, 1.0, 1.1, 1.0, 1.0, 1.0, 1.0, 1.0, 0.95, 0.9, 0.8, 0.7, 0.6, 0.5 ,0.3, 0.2, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n",
    "  \n",
    "# Time array (24 hours)\n",
    "time_array = [i // 2 * 100 + (i % 2) * 30 for i in range(48)]\n",
    "\n",
    "############################################################################################################################\n",
    "\n",
    "# Tarriffs \n",
    "Im_tariff = 0.25 \n",
    "Ex_tariff = 0.05\n",
    "\n",
    "# Generate occupancy array\n",
    "Occupancy = generate_occupancy_signal(time_array)\n",
    "\n",
    "\n",
    "# Specify simulation length \n",
    "sim_length = 48\n",
    "\n",
    "# Arrays for storing results\n",
    "time = np.zeros(sim_length)\n",
    "BESS_net = np.zeros(sim_length)\n",
    "SoC = np.zeros(sim_length)\n",
    "PV = np.zeros(sim_length)\n",
    "PV_f = np.zeros(sim_length)\n",
    "P_net = np.zeros(sim_length)\n",
    "EHP =  np.zeros(sim_length)\n",
    "temp_in = np.zeros(sim_length)\n",
    "\n",
    "# Run optimization model\n",
    "c=controller()\n",
    "m = c.controller_model(T_out, Load, Ins_PV, Im_tariff, Ex_tariff, Occupancy)\n",
    "\n",
    "# Store intital values \n",
    "time[1] = time_array[1]\n",
    "BESS_net[1] = value(m.BESS_dis[1]) - value(m.BESS_ch[1])\n",
    "SoC[1] = value(m.SoC[1])\n",
    "PV[1] = value(m.PV_f[1])-value(m.PV_curt[1])\n",
    "PV_f[1] = value(m.PV_f[1])\n",
    "P_net[1] = value(m.P_in[1])+value(m.P_out[1])\n",
    "EHP[1] = value(m.ehp_E_input[1])\n",
    "temp_in[1] = value(m.temp[1])\n",
    "\n",
    "# Plot forecast (optional function for checking the otpimizer schedule)\n",
    "plot_forecast(m,time_array)  \n",
    "\n",
    "\n",
    "# Update Occcupancy array based on new time array\n",
    "Occupancy = update_occupancy(Occupancy, time_array)\n"
   ]
  }
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