diff --git a/density_fuzzy.ipynb b/density_fuzzy.ipynb
index c371a00..b2c4460 100644
--- a/density_fuzzy.ipynb
+++ b/density_fuzzy.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [
     {
@@ -144,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [
     {
@@ -167,7 +167,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -177,7 +177,7 @@
     },
     {
      "data": {
-      "image/png": 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wxfDKeChaRXWa/NVqEjh7ahdRZ6SrTiOEwR2JPcL3p7/n41ofU96tvOo4LyTFTT4qYG/DnB5+HIm+zzd7L6mOI4RhJT/U/mH3rg8NP1adJv/ZF9RaS1w9COGLVKcRwqASUxMJDAvEr4gffav2VR3npaS4yWf1fNx5r3EZ5mw5x/nYB6rjCGE424LhQaz2D7yVteo0apRuBA0HwV9T4dYZ1WmEMJjPD3/O7cTbhDQOwdoEjm8pbhQY0aYS3m6OjFgVQWq63F0hzMDFHdrFtK0nQ+FyqtOo9UoguJXWLqpOT1WdRohc239zP7+e/ZWhdYZS2qW06jhZIsWNAg621sztWZNTNxJYslMuPhQmLike1n4MPk20i2otna0jdF2qzc6893PVaYTIlQcpDwgKC6K+V316V+6tOk6WSXGjSE3vQgxsVo4F289z6ka86jhC5NzmcVqB02UxWMlHCgAl60DjYdpEhjePq04jRI7NPjSb+OR4JgdMxkpnOse36SQ1Q5+0rED5ogUZsTKC5DS5u0KYoLOb4diP0HaqNhQj/qvZaChSGdYMgLRk1WmEyLZdV3ex5sIaRtUbRYmCJVTHyRYpbhSys7His541uXj7IQu2n1cdR4jsSbwH6z+B8q2htvHfPZHvbOy0uX7unNPO4AhhQuKS4pgYPpHGJRrzWoXXVMfJNiluFKta3IUhLSuwZOdFjkbfVx1HiKzb9CmkJUHnhaDTqU5jnLxqQPPR2rU31/5WnUaILJt2cBrJ6clMbDgRnQke31LcGIEBzcpRo4QrI1ZFkJQqw1PCBJwKhZOrof0ccCmmOo1xCxgGxWtpw1Opj1WnEeKltlzewh9RfzC2/lg8C3iqjpMjUtwYARtrK+b29OPa/cfM/vOs6jhCvNjDW7BxOFTuCDV6qE5j/KxttLl/4qJh+xTVaYR4obuP7xKyP4SWpVrSsWxH1XFyTIobI1G+qDOj2lbi27AoDly6qzqOEM+m18OGYdp/d5wnw1FZVaQStAyC/V/A5TDVaYR4Jr1ez+TwyQBMaDDBJIej/kOKGyPydkAZ6pZ2Y+TqCB4lp6mOI8TTjq+EMxug4+dQsIjqNKalwUAo1UBrUZH8UHUaIZ6y4dIG/rr6F4ENAinsWFh1nFyR4saIWFvpmNPDjzsPUpi2KVJ1HCGelHBDu4i4eneo2kV1GtNjZQ1dv4BHt7Xu4UIYkdhHsUw/MJ1Xy7xKG582quPkmhQ3RqZ04QKMa1+Znw5Es/vcbdVxhNDo9bBusDb7bvvZqtOYLveyWouKv7+BC9tVpxEC0IajgsODsbexZ7z/eNVxDEKKGyPUx780jct7MPq348Q/lt40wggc+Q4ubIPOC8DJXXUa01b3XSjbXCsWH8epTiMEv53/jbDrYUxqNAlXe1fVcQxCihsjZGWlY2Z3Xx4mpTFlw2nVcYSlu38F/hwPtd6Eim1VpzF9VlbQeREkP4DNY1WnERbu+sPrzD40m27lu9G0ZFPVcQxGihsjVaKQIxM6VWX14WtsPR2rOo6wVBkZsHYQOLpB2+mq05iPQt7QbjpE/AxnNqlOIyxUhj6DCWETcLF34dN6n6qOY1BS3BixHnVK0rJyUcb+foL7j1JUxxGW6NAyuLwHuiwCBxfVacxLzT5QsR2sH6K1shAin/1y5hcOxRxicqPJONs5q45jUFLcGDGdTsf012qQmp7BhLUnVccRlubuRdgaDPXe064REYal00Gn+ZCeAhtHqE4jLMzl+MvMOzyPf1X6Fw2LN1Qdx+CkuDFyRV0cmNylGhuO32Tj8Zuq4whLkZGutQtw9oJWk1SnMV/OXtBhLpz6HU6tUZ1GWIj0jHQCwwIp4lSEYXWGqY6TJ6S4MQGd/YrzanUvAkNPcPtBsuo4whKEL4Jrh7S2AfYFVacxb9VfhyqdYcNwrbWFEHns+9Pfc/z2cUICQnCydVIdJ09IcWMCdDodIV2rY6XTMW7NCfR6vepIwpzdioS/QqDhIChtfqerjY5Op834rLOC9UO1OYWEyCMX7l9g4dGF9K3al9qetVXHyTPKi5vFixfj4+ODg4MD/v7+HDx48IXLz5s3j0qVKuHo6Ii3tzfDhg0jKSkpn9KqU7igPVO71WDr6VjWHL2uOo4wV+mp2nCUWxl4ZYLqNJajgAd0mgdnN8LxFarTCDOVmpHK+LDxeDt7M7j2YNVx8pTS4mbFihUMHz6c4OBgjhw5gp+fH23btuXWrWefmv35558ZM2YMwcHBREZG8s0337BixQrGjRuXz8nVaFfdi261ShC87hQ34x+rjiPM0Z7PIOYEdFsCtg6q01iWKp3AtxdsGgXx8gVGGN7XJ77m7L2zTG08FXtre9Vx8pTS4uazzz7j/fff5+2336Zq1aosXboUJycnvv3222cuv2/fPgICAnjjjTfw8fGhTZs29O7d+6Vne8zJxE7VcLKzZvRvMjwlDOxmBOyeBU2GQ4k6qtNYpldngp2TNnuxHN/CgCLvRvJVxFe8W+NdqntUVx0nzykrblJSUjh8+DCtWrX6bxgrK1q1akV4ePgzX9OoUSMOHz6cWcxcunSJTZs20b59++duJzk5mYSEhCcepszVyZYZr/uy+9xtfjl4VXUcYS7SkrXhqCJVoOko1Wksl6MbdF4IF7fD4eWq0wgzkZKewri94yhXqBwDfAeojpMvlBU3d+7cIT09HU9Pzyee9/T0JCYm5pmveeONN5g8eTKNGzfG1taWcuXK0bx58xcOS02fPh1XV9fMh7e3t0HfhwotKhXlX/W8mbrxNFfvJaqOI8zBzhlw57w2HGVjpzqNZavQGmr3hS2BcP+y6jTCDCyJWMLlhMtMbTwVW2tb1XHyhfILirNj586dTJs2jS+++IIjR47w+++/s3HjRqZMmfLc14wdO5b4+PjMx9Wr5nG2Y3yHKhRysmPkqggyMuT0tciFq4cgbB40HwNeNVSnEQBtpoKjO4QO0lpgCJFDEbcj+Pbktwz0G0gl90qq4+QbZcWNh4cH1tbWxMY+2TcpNjYWLy+vZ75mwoQJvPXWW7z33nvUqFGDbt26MW3aNKZPn07Gcz4A7O3tcXFxeeJhDpwdbJndw5cDUff4Lvyy6jjCVKUkQugAKF4LAoaqTiP+w8EFui6GK3vh4Feq0wgT9TjtMYF7A6lWuBrvVH9HdZx8pay4sbOzo06dOmzfvj3zuYyMDLZv307Dhs+eWyMxMRErqycjW1tbA1jkxbWNynnQv5EPMzef4dLth6rjCFP01xSIvwZdl4K1jeo04n+VaQr1P4RtE+HOBdVphAlacGQBNx/dJKRxCDZWlnV8Kx2WGj58OMuWLeO7774jMjKSgQMH8ujRI95++20A+vbty9ixYzOX79SpE0uWLOHXX38lKiqKrVu3MmHCBDp16pRZ5FiaUe0q4eXiwIhVEaTL8JTIjst7Yf8SbT6bIhVVpxHP0ioYXIppZ9cy0lWnESbkUMwhfor8icG1BlPWtazqOPlOaSnXq1cvbt++TVBQEDExMdSsWZPNmzdnXmQcHR39xJmawMBAdDodgYGBXL9+nSJFitCpUyemTp2q6i0o52Rnw9yefvRYGs5Xuy8xsHk51ZGEKUh+CKEfQamG0GCg6jTieewKaC0wvm0H+xZAY/PsAyQMKzE1kQlhE6hVtBZvVnlTdRwldHoLG89JSEjA1dWV+Ph4s7n+BmD6pkj+HXaZ9YMbU8nLvFrXizywYRhE/AoDw8Dd8r7VmZwtE+DAUvhgF3hWVZ1GGLkp4VNYf2k9v3X6DW8X079DOCdM6m4p8XzDWlekdGEnRqw6Rmq63F0hXuDCdvj7W2g9WQobU9FivPZ3FTpAa5EhxHPsu76PledWMqLOCIstbECKG7PhYGvNZz1rEnnzAYt3yMWH4jkex2mz35ZtAfXeU51GZJWtgzY8FXMS9sxVnUYYqYSUBIL2BdGgWAN6VuqpOo5SUtyYkRolXRnUojyL/rrAyevxquMIY/TnOEh+AF0Wad2ohekoURuajIDds+HGMdVphBGadXAWj1IfMbnRZHQWfnxLcWNmPm5RnoqezgxfeYzkNLm7QvyPM5vg2E/Qbjq4llSdRuRE00+haBWtVUZasuo0wojsiN7B2otrGVVvFMUKFlMdRzkpbsyMnY0Vn/XyI+rOI+ZtO686jjAWifdg/RCo2A5q9lGdRuSUjR10+xLuXoCd01WnEUYiLimOSeGTaFayGV3Ld1UdxyhIcWOGKnu5MLRVRb7cdZEj0fdVxxHGYOMISE+BTvNlOMrUeVaDFmMhbL7WOkNYvKkHppKakUpww2CLH476DyluzNSHTcviW7IQI1ZG8DhFhqcs2snf4dTv0GEuOD+7tYkwMY2GaC0zQgdoLTSExfrz8p9svryZwAaBFHEqojqO0ZDixkzZWFsxt6cfN+IeM+vPM6rjCFUe3tLO2lTtAtVfV51GGIq1jdYyI/4abJ+sOo1Q5M7jO4TsD6F16da082mnOo5RkeLGjJUrUpBR7Srz77DLhF+8qzqOyG96vXadjZU1dPhMhqPMTZGK0DIIDiyBqD2q04h8ptfrmRQ+CSudFYENAmU46h+kuDFzbzfyoX4Zdz5dHcHD5DTVcUR+ivgVzm6CjvOggIfqNCIv+A+E0gGw9iPtFn9hMdZfWs/OqzsJahiEu4O76jhGR4obM2dlpWNOdz/uPUph2qZI1XFEfom/Dn+MBt9/QZWOqtOIvGJlBV0Ww6O7WosGYRFiHsUw48AMOpXtRMtSLVXHMUpS3FiAUoWdGNe+Cj8fiGbXuduq44i8ptfDuo/BzglenaE6jchr7mWgzRQ4/G+4sE11GpHH9Ho9wfuCcbRxZHT90arjGC0pbixEH/9SNKngwejVx4l/LL1pzNrh5XDxL+i8CBzdVKcR+aHuO1pLjbWDtRYbwmytPr+afTf2MSlgEq72rqrjGC0pbiyETqdj5uu+PEpOY9L6U6rjiLxy/zJsCYTa/aBCK9VpRH7R6bSWGikPYfNY1WlEHrn24BqzD83m9Qqv07hEY9VxjJoUNxakeCFHgjtX4/cj19lyKkZ1HGFoGRkQOgic3KHtVNVpRH5zLQmvzoSIn7VWG8KsZOgzmBA2AXcHdz6t96nqOEZPihsL83rtErSqUpRxa05w71GK6jjCkA5+BVf2aheY2jurTiNU8OsNFV/VpgB4JNM/mJOfI3/m79i/mdxoMgVsC6iOY/SkuLEwOp2Oaa/VIC1Dz4S1J1XHEYZy5zxsC4b6H0KZpqrTCFV0Oq3FRkYqbBqhOo0wkKj4KOYdmccbld+gfrH6quOYBCluLFBRZwemdKnOxuM3WR9xQ3UckVsZ6RA6EFxKQKuJqtMI1Zw9tVYbp9bAyd9UpxG5lJ6RTmBYIF4FvBhaZ6jqOCZDihsL1cmvOB1qFGPC2pPcSkhSHUfkxr4FcP0wdF2i3f4tRPXXoWpXrfXGg1jVaUQuLD+1nJN3ThISEIKjjaPqOCZDihsLNqVrdWysdIxbcwK9Xq86jsiJ2NOwYxo0Ggyl/FWnEcakw2dgZaNdfyPHt0k6f/88i48tpl/VftQsWlN1HJMixY0Fcy9gx7RuNdgWeYvfjlxXHUdkV3oqrPkQ3MtC83Gq0whjU6Cwdv3NuT8g4hfVaUQ2pWakMn7veEo5l2JQrUGq45gcKW4sXJtqXrxWuwST1p3iRtxj1XFEduyeA7GnoNtSsHVQnUYYo8odtDuo/hitdRAXJmPZ8WWcu3+OqU2mYm9trzqOyZHiRhDcqRoF7G0Y/dtxGZ4yFTeOwp450HQkFK+lOo0wZu1mgF1BWPuxDE+ZiFN3T7Hs+DLe932faoWrqY5jkqS4Ebg62jKzuy97zt/hpwPRquOIl0lLhjUDoWhVaDJSdRph7BwLQZeFcGkH/P2t6jTiJVLSUwjcG0gFtwp8UOMD1XFMlhQ3AoBmFYvQu34ppm2KJPpuouo44kV2TIO7F7ThKBs71WmEKSjfCur01zqH34tSnUa8wOJji7mccJmQxiHYWtuqjmOypLgRmcZ3qIJ7ATtGro4gI0NOXxulqwe1W79bjAVPOV0tsqFNiHaR8dpBWqsOYXSO3TrG8lPLGVRzEBXdKqqOY9KkuBGZCtrbMLu7Hwej7vHvfZdVxxH/lJIIawZA8drQaIjqNMLU2DtDly/gShgcWKo6jfiHx2mPCQwLpHrh6vSv1l91HJMnxY14QsNyhXk7wIdZm89w8fZD1XHE/9o+CRKua8NR1jaq0whTVKYJ+A/UfpfunFedRvyP+UfmE/MohpDGIdhYyfGdW1LciKeMaluZ4oUcGbEygrR0OX1tFKL2aN+2WwaDRwXVaYQpaxmktepYMwDS01SnEcChmEP8FPkTQ2oPoYxrGdVxzIIUN+IpjnbWzOnhx/FrcXy155LqOCL5Aaz9CEo3Bv8BqtMIU2fnpJ39u3EE9s1XncbiPUp9xISwCdT1rEufKn1UxzEbUtyIZ6pT2o0Pm5Xj863nOBOToDqOZdsSCI/uQpdFYCWHrDAA7/rQ6BPYMV2bCFIoM+fvOdxLuseUgClY6eT4NhTZk+K5hraqQFmPggxfEUFKmgxPKXFhGxxeDm1DwF1OVwsDajEOCpfXWnikpahOY5HCroex+txqRtYdSUnnkqrjmBUpbsRz2dtYM7enH+diH7BoxwXVcSzP4zhYOxjKvQJ13ladRpgbG3tteOpWpDbbtchXCSkJBO0LolHxRvSo2EN1HLMjxY14oeolXPn4lfIs3nGBE9fiVcexLJvHQMoj6LwQdDrVaYQ5Kl4Tmn6q9Sm7fkR1Gosy8+BMHqc+ZlKjSejk+DY4KW7ESw1qUZ4qxZwZvvIYSanpquNYhjMbtU7Or84AVzldLfJQkxHgVV27eyo1SXUai/BX9F+su7iO0fVH41XAS3UcsyTFjXgpW2sr5vaoyZW7iXy+9ZzqOObv0V1YPwQqtdc6OguRl6xtoetSuB8FO6aqTmP27ifdZ1L4JJp7N6dzuc6q45gtKW5EllTycmZY64p8tecSh6/cUx3HvG0cDhlp0HGeDEeJ/OFZVbvAeN9CiN6vOo1ZC9kfQro+neCGwTIclYekuBFZ9kHTstT0LsSIlREkpsjkX3ni5G9wOhQ6fAbOnqrTCEvS6BMoWRdCB2rXegmD2xy1mS1XthDYIBAPRw/VccyaFDciy6ytdMzt4UdMQhKzNp9VHcf8PIiFjSOgWjeo/prqNMLSWFlrw1MJN2HbRNVpzM6dx3cIORBCW5+2tPNppzqO2ZPiRmRL2SIFGd2uMsv3XWbfhTuq45gPvR7WfwJWttB+ruo0wlJ5lIdWE+HgV3Bpl+o0ZkOv1zNx30RsdDaM9x+vOo5FkOJGZFu/hj40KOvOp6uP8yApVXUc83DsZzi3GTrNhwKFVacRlqz+B+DTBNYOgiSZndwQ1l5cy65ruwhuGIybg5vqOBZBihuRbVZWOmZ39yMuMYWpGyNVxzF98de0OW383oDK7VWnEZbOykpr9fH4PmyRswy5FfMohpkHZ9K5XGdalGqhOo7FkOJG5Ii3uxPjO1Tl10NX2XH2luo4pkuvh7Ufg11BaDdddRohNG4+0CYEjnwP57aoTmOy9Ho9QWFBONk6Mbr+aNVxLIoUNyLHetf3pmnFIoxefZz4RBmeypG/v4VLO7Rvyo6FVKcR4r/q9IdyLWHdYEiU6R9yYtW5VYTfDGdKoym42LmojmNRpLgROabT6Zj5eg0ep6Yzcb10Fs62e1GwZYLWN6p8S9VphHiSTqe1/kh9DH/IWYfsuvrgKnP+nkOPij1oVKKR6jgWR4obkSvFXB2Z2Kkaa45eZ/PJGNVxTEdGBoR+pF083GaK6jRCPJtrCXh1JpxYCafXqU5jMjL0GQTuDcTdwZ0RdUeojmORpLgRufZa7RK0rurJ+DUnuPswWXUc03BgCUTvg65LwN5ZdRohns/vX1CpA2wYBo9k+oes+PH0jxy5dYQpAVMoYFtAdRyLJMWNyDWdTse0bjXI0OsJDD2JXq9XHcm43T4H2yeD/0Dwaaw6jRAvptNBp3mgz4ANQ7WL4MVzXYq/xIKjC3izypvU86qnOo7FkuJGGEQRZ3tCutbgj5MxrIu4oTqO8UpPg9ABWqfvlkGq0wiRNQWLQsfPIHI9nFitOo3RSstII3BvIMUKFOOT2p+ojmPRpLgRBtPBtxgdfYsRtPYUsQlJquMYp33z4cZRbZp7OyfVaYTIumrdoNprsGmk1qJBPGX5qeWcunuKkMYhONo4qo5j0aS4EQY1pUt1bK2tGPPbcRme+qeYk7Bjutag0FtOVwsT1GEu2NhrrULk+H7C2XtnWXxsMW9Xexu/In6q41g8KW6EQbkVsGPGazXYcfY2q/6+pjqO8UhL0YajPCpAi3Gq0wiRM07uWouQ81vg6I+q0xiN1PRUxu8dj4+LDx/V/Eh1HIEUNyIPtKrqSfc6JZm84TTX7ieqjmMcds+GW5Ha3VE29qrTCJFzlV6Fmn1g81iIi1adxih8efxLLsZdZGrjqdhZ26mOI5DiRuSRoE5VcXawYdTq42RkWPjp6+tHYM9caPopFK+pOo0QudduOji4as01MzJUp1Hq5J2TfH3iaz7w/YCqhauqjiP+nxQ3Ik+4ONgy83Vf9l28y48HrqiOo05qEqwZAF7VoYlM5iXMhIMrdFkIUbvh729Up1EmOT2Z8XvHU9GtIu/5vqc6jvgfUtyIPNO0YhH6+Jdi+qYzXL7zSHUcNXaEwP0o6PYlWNuqTiOE4ZR7Beq+C1uD4O5F1WmUWHR0EVcfXGVa42nYWsnxbUykuBF5alz7Kng42zFyVQTpljY8Fb0f9i2CFuOhaBXVaYQwvNaTtTlwQj+CjHTVafLVkdgjfHfqOwbVHER5t/Kq44h/kOJG5KkC9jbM6e7H4ej7fLs3SnWc/JPySBuOKlkPGg1WnUaIvGFfELp8AVcPwP4vVKfJN4mpiQSGBeJbxJf+1fqrjiOeQYobkef8yxbmnYAyzN5ylvOxD1THyR/bJsKDGO3uKCtr1WmEyDs+AdBwEGyfArfOqE6TLz4//Dm3E28TEhCCtRzfRkmKG5EvPm1biZJujoxcFUFaupnfXXFpJxz8ClpNBA85XS0swCuB4FYaQgdqLUbM2P6b+/n17K8MrTMUH1cf1XHEc0hxI/KFg601c3v4ceJ6PEt3mfHFh0kJsPZj8GkC9T9QnUaI/GHrqLUUuXkMwj5XnSbPPEx5SFBYEPW86tG7cm/VccQLSHEj8k2tUm4MbF6O+dvPc/pGguo4eePPcfD4PnRZDFZyeAkLUrIONB4GO2dCzAnVafLE7L9nE58cz5SAKVjp5Pg2Zsr/dhYvXoyPjw8ODg74+/tz8ODBFy4fFxfHoEGDKFasGPb29lSsWJFNmzblU1qRW5+0rEC5IgUZvvIYKWlmNjx1bgsc/QHahGin6IWwNM1GQ5FK2sX0aSmq0xjU7mu7+f3873xa71NKFCyhOo54iRwXN9u3b6djx46UK1eOcuXK0bFjR7Zt25atdaxYsYLhw4cTHBzMkSNH8PPzo23btty6deuZy6ekpNC6dWsuX77M6tWrOXv2LMuWLaNECflFMxX2NtbM7enHhVsPWbD9vOo4hpN4D9YNhvKtoE5/1WmEUMPGXruI/vYZ2DVTdRqDiU+OZ+K+iQSUCOD1Cq+rjiOyIEfFzRdffEG7du1wdnZmyJAhDBkyBBcXF9q3b8/ixYuzvJ7PPvuM999/n7fffpuqVauydOlSnJyc+Pbbb5+5/Lfffsu9e/cIDQ0lICAAHx8fmjVrhp+fdGA1JdWKu/JJywos2XWRY1fjVMcxjD9GQ9pj6LwQdDrVaYRQp5gvNBsDez+Ha4dVpzGI6Qenk5SexKSGk9DJ8W0SdHp99vvWlyxZkjFjxvDxxx8/8fzixYuZNm0a169ff+k6UlJScHJyYvXq1XTt2jXz+X79+hEXF8fatWufek379u1xd3fHycmJtWvXUqRIEd544w1Gjx6NtfWzb8dLTk4mOTk5888JCQl4e3sTHx+Pi4tLFt+xMLTU9AxeX7KPR8lpbPykCQ62Jnw75el1sPItbRZiv3+pTiOEeulp8E0rbb6nD3drFxybqG1XtjFs5zCmNZ5Gp3KdVMcRWWSTkxfFxcXRrl27p55v06YNo0ePztI67ty5Q3p6Op6enk887+npyZkzz54r4dKlS/z111/06dOHTZs2ceHCBT766CNSU1MJDg5+5mumT5/OpEmTspRJ5B9bayvm9vCjw8K9zN1ylvEdTLTh3MPbsGEYVO4Ivr1Up8kRvV5PWpp5375ryqytrbEytYvTrW20u6e+bAp/hUDbqaoT5cjdx3eZsn8Kr3i/QseyHVXHEdmQo+Kmc+fOrFmzhk8//fSJ59euXUvHjnn3C5CRkUHRokX56quvsLa2pk6dOly/fp3Zs2c/t7gZO3Ysw4cPz/zzf87cCPUqeDozsk1Fpv9xhtZVvahfxl11pOzR62HjMNBnQMfPTXI4Ki0tjdu3b5ODE7giHzk5OeHq6mpaQyJFK2vz32wNgsodoHQj1YmyRa/XE7I/hAx9BhMaTjCtfS9yVtxUrVqVqVOnsnPnTho2bAjA/v37CQsLY8SIESxYsCBz2U8++eSZ6/Dw8MDa2prY2Ngnno+NjcXLy+uZrylWrBi2trZPDEFVqVKFmJgYUlJSsLOze+o19vb22NvbZ/s9ivzxbuOybDkVy8hVEfwxpAkF7HP0K6nGidUQuR56fKf11zExer2euLg4rKyscHNzkw9vI6TX60lJSSEhQZs6oVChQmoDZVfDQXBmoza534AwrV2DidgUtYlt0duY22wuHo4equOIbMrRNTdlypTJ2sp1Oi5duvTcn/v7+1O/fn0WLlwIaGdmSpUqxccff8yYMWOeWn7cuHH8/PPPXLp0KfM07fz585k5cyY3btzIUqaEhARcXV3lmhsjcvnOI16dv4fudUoypWt11XGyJuEmfOGv3R3V/dkXwBu79PR0YmNjcXNzw9HRdK+JsAQPHz4kISEBLy8v0xuiunsRljaGmm9Ah7mq02TJrcRbdF3blcbFGzOr2SzVcUQO5OhrclSUYRogDh8+nH79+lG3bl3q16/PvHnzePToEW+//TYAffv2pUSJEkyfPh2AgQMHsmjRIoYMGcLgwYM5f/4806ZNe+7ZIWEafDwKMLZ9ZYLWnqJtNS8aVzDyb0l6Paz/BGwcoP0c1WlyLCNDm2foeRfjC+Pxn7PS6enpplfcFC6ndQ/fNFK7Nq1cC9WJXkiv1zNx30Tsre0Z5z9OdRyRQ0rHAHr16sXt27cJCgoiJiaGmjVrsnnz5syLjKOjo584kL29vfnzzz8ZNmwYvr6+lChRgiFDhmT5ImZhvN70L83mkzGMWh3B5mFNcXGwVR3p+Y7+AOe3QO8V4GRi1wk9gwxHGT+T/zuq+y5ErtNak3y0DxxcVSd6rjUX1rDn+h4WvbKIQg6FVMcROZTlYanhw4czZcoUChQo8MQFus/y2WefGSRcXpBhKeN17X4i7ebtoX0NL2Z1N9K5i+Ki4YtGULULdM36nE7GKDU1ldu3b1OkSBFsbY24mBTm8Xf1n2OnWhetPYkRuvHwBq+te43WpVszJWCK6jgiF7J85ubo0aOkpqZm/vfzmPw3DKFMSTcnJnSswujfTtC2mhctq3i+/EX5KSMD1g7SvnW2m6Y6jRCmpVAp7bhZNxiqdIaKbVUnekKGPoOgsCCc7ZwZVW+U6jgil7Jc3OzYseOZ/y2EIfWs683mkzGM+f0EW4a64Vbg6TvglPn7G4jaDW+FGvVpdXPXvHlzatasybx581RHEdlV6y3tDsN1g+Gj/UY1rLvi7AoOxBzgq9Zf4WznrDqOyCUTuzJNmDudTseM131JScsgeN0p1XH+6+5Fbb6Ouu8a/QWRQhgtnQ46LYC0ZPjDeM6ORCdE8/nhz+lVqRcNizdUHUcYQI6Km0ePHjFhwgQaNWpE+fLlKVu27BMPIXLD08WBSZ2rsS7iBptO3FQdBzLSIfQjbS6b1pNVpxHCtLkUg/az4cQqOP10m538lp6RTmBYIIUdCjO8zouvJxWmI0d3S7333nvs2rWLt956i2LFisl1NsLgutQszuaTMQSGnqR+GXc8CiqciHH/F3D1ALy9yaQmIbME9+/fZ8iQIaxfv57k5GSaNWvGggULqFChAnq9nqJFi7JkyRK6d+8OQM2aNYmNjeXmTa1o3rt3Ly1btuT+/fs4OTmpfCuWpUYP7e6pDcOgVCMoWERZlB9O/8CxW8f4tu23ONnK74C5yFFx88cff7Bx40YCAgIMnUcIQBueCulWnTaf72bc7yf48q06aoroW2dg+xRtplUTmz4+Jx6npHPx9sN83265IgVxtMv+fDv9+/fn/PnzrFu3DhcXF0aPHk379u05ffo0tra2NG3alJ07d9K9e3fu379PZGQkjo6OnDlzhsqVK7Nr1y7q1asnhU1+0+mgw+faRJgbhkKvH5W0L7kYd5GFRxfyZtU3qetVN9+3L/JOjoobNzc33N2N50IwYZ48CtozrVt1Bvx4hNBj1+lWq2T+BkhPg9AB4FZa65FjAS7efkjHhXvzfbsbBjemeonsXaT9n6ImLCyMRo20wvOnn37C29ub0NBQevToQfPmzfnyyy8B2L17N7Vq1cLLy4udO3dSuXJldu7cSbNmzQz+fkQWFCwCHefByre0ISrfnvm6+bSMNMbvHU/xgsX5pJZMBGtuclTcTJkyhaCgIL777jv5xiPyVLvqxehSszjBa0/RsKwHXq4O+bfxvZ/DzQh4dxvYWkZ7gnJFCrJhcGMl282uyMhIbGxs8Pf3z3yucOHCVKpUicjISACaNWvGkCFDuH37Nrt27aJ58+aZxc27777Lvn37GDXKeC5stThVO2tDVJtGgk9jcCmeb5v+5sQ3RN6L5IdXf8DBJh8/V0S+yHJxU6tWrSeGBS5cuICnpyc+Pj5PTSp15MgRwyUUFm9S52qEX7zL6N+Os/ztevkzPHXzOOyaCY2HQck6eb89I+FoZ53tMyjGrEaNGri7u7Nr1y527drF1KlT8fLyYubMmRw6dIjU1NTMsz5CkVdnQdQeWPcJ9FmVL8NTZ+6dYWnEUt6p/g6+RXzzfHsi/2W5uOnatWsexhDi+Qo52THzdV/eXn6IFYeu8q/6pfJ2g2nJWhfjIpWgmbT2MFZVqlQhLS2NAwcOZBYod+/e5ezZs1StWhXQrt1q0qQJa9eu5dSpUzRu3BgnJyeSk5P58ssvqVu3LgUKFFD5NoSTO3ReCD/3gCPfQ51+ebq5lPQUxu8dT5lCZRjoNzBPtyXUyXJxExwcnJc5hHihFpWL0quuN1M2nCagvAfe7nk4HLprJtw+A+/vABuFd2mJF6pQoQJdunTh/fff58svv8TZ2ZkxY8ZQokQJunTpkrlc8+bNGTFiBHXr1qVgQW34q2nTpvz00098+umnquKL/1WxjTbB35/joGxz7Tq3PLI0YimX4i7xS8dfsLM2oklChUHlaJ6bq1evcu3atcw/Hzx4kKFDh/LVV18ZLJgQ/xTYsQqFnOwYtfo4GRlZaomWfdf+1q61aTYGisnpamP373//mzp16tCxY0caNmyIXq9n06ZNTwyVN2vWjPT0dJo3b575XPPmzZ96TijWdho4umktTv6/Y72hHb99nG9OfsOHfh9S2b1ynmxDGIcsN878X02aNOGDDz7grbfeIiYmhooVK1K9enXOnz/P4MGDCQoKyousBiGNM01b2IU79Pn6ABM7VaV/QBnDrjz1MSxtos1l8+42sM7R9fYmwyyaMVoIi/m7urQTvu+iXYfj/6FBV52UlkSP9T0oYFuAH9r/gK2VGe9HkbMzNydPnqR+/foArFy5kho1arBv3z5++uknli9fbsh8QjwhoLwHfRuWZsbmM0TdeWTYlf8VonUu7rrU7AsbIYxS2eZQ733YGqy1PDGghUcXcuPhDaY2niqFjQXIUXGTmpqKvb12LcK2bdvo3LkzAJUrV86c+VOIvDLm1cp4ujgwYuUx0g01PHVlH4Qv1uazKSqnq4VQpvUkcPaCNQO01icGcDj2MD+c/oHBtQZTrlA5g6xTGLccFTfVqlVj6dKl7Nmzh61bt9KuXTsAbty4QeHChQ0aUIh/crKzYW4PP45ejePrPZdyv8Lkh9rdUd7+2kzEQgh17ApAt6Vw7RCEL8r16hJTEwncG0jNojV5q+pbBggoTEGOipuZM2fy5Zdf0rx5c3r37o2fnx8A69atyxyuEiIv1fVx573GZZi75RznYh/kbmXbguHhLej6BVhlvwWAEMLASjWARh9rQ8W3InO1qs8Of8bdpLuEBIRgLce3xcj2hQV6vZ6yZcsSHR1NWloabm5umT/74IMPZMZikW9GtKnEjrO3GbEygt8/aoStdQ5q9Ys74NDX0H4OFJbT1UIYjRaBcG6LNjz13jawzv51MuE3wllxdgXj/MdRyiWP58cSRiXb/xro9XrKly9PTEzME4UNgI+PD0WLFjVYOCFexMHWmrk9/Dh9M4ElO3Nw8WFSPKz9GMo0g7rvGj6gECLnbB2g2xKIOaFNz5BND1IeELQvCH8vf3pV6pUHAYUxy3ZxY2VlRYUKFbh7925e5BEiW/y8C/FR83Is2H6ek9fjs/fizeO0AqfLYrDK0QitECIvlagDTYZrE2vejMjWS2cdmsWDlAdMDpiMlU6Ob0uTo7/xGTNm8Omnn3Ly5ElD5xEi2wa/UoEKns6MWBlBcloW7644uxmO/QjtpkMh77wNKITIuaajoEgVWDNQa42SBbuu7iL0Qiij6o2ieMH8a8YpjEeOipu+ffty8OBB/Pz8cHR0xN3d/YmHEPnJzsaKuT38uHTnIfO3nX/5CxLvwfpPoEIbqPVm3gcUQuScjZ1299Sdc7BzxksXj0uKY2L4RJqUaEK38t3yIaAwRjmaqWzevHkGjiFE7lQt7sKQlhX4bOs5Wlf1pFYpt+cvvOlT7RtgpwX50oFYCJFLXtWh+RjYMRUqd4CSdZ+76LSD00hJT2Fio4no5Pi2WDkqbvr1y9uurULkxIBm5dh6OpYRqyLY9EkTHGyfcdvnqVA4uRpe+xpciuV7RiFEDgUMhbObtLunBuwBW8enFtlyeQt/RP3BjCYzKOokN7dYshxfZXXx4kUCAwPp3bs3t27dAuCPP/7g1KlTBgsnRHbYWFsxt6cf1+4/ZvafZ59e4OEt2DgcqnSGGt3zP6AwWenp6WTkUTNHkUXWNlprlPirsH3KUz++8/gOIftDaFWqFe3LtFcQUBiTHBU3u3btokaNGhw4cIDff/+dhw8fAhAREUFwcLBBAwqRHeWLOjOqbSW+DYviwKX/uaNPr4cNwwAddPxchqNM3ObNm2ncuDGFChWicOHCdOzYkYsXtekAGjVqxOjRo59Y/vbt29ja2rJ7924AkpOTGTlyJCVKlKBAgQL4+/uzc+fOzOWXL19OoUKFWLduHVWrVsXe3p7o6GgOHTpE69at8fDwwNXVlWbNmnHkyJEntnXmzBkaN26Mg4MDVatWZdu2beh0OkJDQzOXuXr1Kj179qRQoUK4u7vTpUsXLl++nCf7yqwUqQivTID9X8DlsMyn9Xo9U8KnoNPpCGwQKMNRImfFzZgxYwgJCWHr1q3Y2dllPv/KK6+wf/9+g4UTIifeDihD3dJujFwdwaPkNO3J4yvhzAatsCngoTagMUtJhBvH8v+RkpitmI8ePWL48OH8/fffbN++HSsrK7p160ZGRgZ9+vTh119/Ra//b9+xFStWULx4cZo0aQLAxx9/THh4OL/++ivHjx+nR48etGvXjvPn/3tBemJiIjNnzuTrr7/m1KlTFC1alAcPHtCvXz/27t3L/v37qVChAu3bt+fBA22W7PT0dLp27YqTkxMHDhzgq6++Yvz48U9kT01NpW3btjg7O7Nnzx7CwsIoWLAg7dq1IyUlJVv7wSI1GAilGmotU5K1L9YbLm3gr6t/MaHBBAo7SgsgATr9/34CZFHBggU5ceIEZcqUwdnZmYiICMqWLcvly5epXLkySUlJeZHVIBISEnB1dSU+Ph4XFxfVcUQeuXL3Ee3m7eG12iWY2rIwLG4AFdvC68tURzMaqamp3L59myJFimBr+/+zv944Bl81y/8wH+yC4jVz/PI7d+5QpEgRTpw4gaenJ8WLF+evv/7KLGYaNWpE06ZNmTFjBtHR0ZmzrBcv/t/bhFu1akX9+vWZNm0ay5cv5+233+bYsWOZ7WWeJSMjg0KFCvHzzz/TsWNHNm/eTKdOnbh69SpeXl6A1ly4devWrFmzhq5du/Ljjz8SEhJCZGRk5hmGlJQUChUqRGhoKG3atHlqO8/8u7Jk9y7BkgDw+xexLcbQbW03mno3ZUaTl99NJSxDji4oLlSoEDdv3qRMmTJPPH/06FFKlChhkGBC5EbpwgUY174yE9aeZMStcbjbOUH7WapjGT+PilqhoWK72XD+/HmCgoI4cOAAd+7cybweJjo6murVq9OmTRt++uknmjRpQlRUFOHh4Xz55ZcAnDhxgvT0dCpWfHKbycnJTzT+tbOzw9fX94llYmNjCQwMZOfOndy6dYv09HQSExOJjo4G4OzZs3h7e2cWNsBT/fYiIiK4cOECzs7OTzyflJSUObQmXsK9LLSZgn7jCILTr+Fg48DY+mNVpxJGJEfFzb/+9S9Gjx7NqlWr0Ol0ZGRkEBYWxsiRI+nbt6+hMwqRI338S5N84N+439xNYo9fcXJ8we3hQmPnlKszKPmlU6dOlC5dmmXLllG8eHEyMjKoXr165rBOnz59+OSTT1i4cCE///wzNWrUoEaNGgA8fPgQa2trDh8+jLX1k3fUFSxYMPO/HR0dn7p2o1+/fty9e5f58+dTunRp7O3tadiwYbaGkx4+fEidOnX46aefnvpZkSJFsrwei1f3XX4//RNhcWdY3GQWrvauqhMJI5Kj4mbatGkMGjQIb29v0tPTqVq1Kunp6bzxxhsEBgYaOqMQOWIVH807j5axWv8K+08XZ0411YmEIdy9e5ezZ8+ybNmyzGGnvXv3PrFMly5d+OCDD9i8eTM///zzE1+6atWqRXp6Ordu3cp8fVaFhYXxxRdf0L69djfO1atXuXPnTubPK1WqxNWrV4mNjcXT0xOAQ4cOPbGO2rVrs2LFCooWLSpD47lw/dENZlk/4rWEZJoeXw9lX1UdSRiRHF1QbGdnx7Jly7h48SIbNmzgxx9/5MyZM/zwww9PfRMSQomMDFg7CCsnd6zaTWP14WtsOx2rOpUwADc3NwoXLsxXX33FhQsX+Ouvvxg+fPgTyxQoUICuXbsyYcIEIiMj6d27d+bPKlasSJ8+fejbty+///47UVFRHDx4kOnTp7Nx48YXbrtChQr88MMPREZGcuDAAfr06YOj43/nW2ndujXlypWjX79+HD9+nLCwsMwvfP85C9SnTx88PDzo0qULe/bsISoqip07d/LJJ59w7do1Q+0ms5ahzyAoLAhXh0J8Wn80HPsJzmxSHUsYkVx1EytVqhSvvvoqPXr0oEKFCobKJETuHVoGl/dAl8V0a1CZlpWLMub3E9x/JHejmDorKyt+/fVXDh8+TPXq1Rk2bBizZ89+ark+ffoQERFBkyZNKFWq1BM/+/e//03fvn0ZMWIElSpVomvXrhw6dOip5f7pm2++4f79+9SuXZu33nqLTz75hKJF/ztZnLW1NaGhoTx8+JB69erx3nvvZd4t5eDgAICTkxO7d++mVKlSvPbaa1SpUoV3332XpKQkOZOTRb+c+YWDMQeZEjCFgnXegYrtYP0QrbWKEOTwbinQDvLPP/8889bJChUqMHToUN577z2DBjQ0uVvKAty5AEsbQ+23oL32j96thCRaf76bphWLsLB3LcUBjYPcgZM/wsLCaNy4MRcuXKBcuXI5Wof8Xf3XlYQrdF/Xna7luzK+wf/fZv8gBhb7Q7lXoMe/1QYURiFH19wEBQXx2WefMXjwYBo2bAhAeHg4w4YNIzo6msmTJxs0pBBZlpGuzX/hUgxaTcx8uqiLA5O7VGPIr8doV82LDr7SekHkjTVr1lCwYEEqVKjAhQsXGDJkCAEBATkubMR/pWekM37veIo6FWVYnWH//YGzF3SYC7+9C1U6QfXX1IUURiFHxc2SJUtYtmzZE+PYnTt3xtfXl8GDB0txI9TZtxCuHYJ3NoNdgSd+1NmvOH+eiiEw9AT1y7hTxNleUUhhzh48eMDo0aOJjo7Gw8ODVq1aMXfuXNWxzML3p7/n+O3jfPfqdzjZOj35w+qvQ+Q62DgCfBpDQektZclydM1Namoqdes+3ZW1Tp06pKWl5TqUEDlyK1LrGtzoYyjV4Kkf63Q6pnSpjpVOx7g1J8jhiKwQL9S3b1/OnTtHUlIS165dY/ny5U/MnyNy5sL9Cyw8upB+1fpRq+gzhpZ1OujwGeistOtv5Pi2aDkqbt566y2WLFny1PNfffUVffr0yXUoIbItPRXWfAhuZaDF86cjKFzQnmmv1WDr6VjWHL2ejwGFEDmVmpHK+LDxeDt783Gtj5+/YAEP6DRf6x4e8Wv+BRRGJ8vDUv97q6VOp+Prr79my5YtNGigfUM+cOAA0dHRMomfUGPPZxBzEt7bBrYOL1y0bTUvutUqQfC6UzQsV5hiro4vXF4IodbXJ77m7L2z/NT+J+ytXzKcXKUj+PaCP0ZDmabgKrPmW6IsFzdHjx594s916tQByJwu3MPDAw8PD06dOmXAeEJkwY1jsHsWNBkOJWpn6SUTO1Vj38U7jP7tBN+9XU+6CAthpCLvRvJVxFe8V+M9qnlkcSbOV2dC1G5Y9zG8+bs2ZCUsSo5vBTdVciu4mUlLhq+ag5U1vPcX2Ni99CX/sfPsLfr/+xDTutXgDf8Xz29ijuT2YtNhqX9XKekp9NrQCxsrG35u/zO21tl47+e3wU+vQ8d5UPftPMsojFOuJvETQrmd0+HOeei6NFuFDUDzSkXpXd+bqRtPc/VeYh4FFELk1JKIJVxOuExIQEj2ChuACq2gdj/4czzcv5wn+YTxylFxk5SUxOzZs2nfvj1169aldu3aTzyEyBdXD0HYfGg+Bryq52gV4ztUpZCTHSNXRZCRYVEnMYUwahG3I/j25Ld85PcRldwr5WwlbaeCU2EIHaS1ZBEWI0fFzbvvvsusWbMoXbo0HTt2pEuXLk88hMhzKYkQOgCK14KAoTleTUF7G2b38OVA1D2W77tssHgi7zRv3pyhQ4c+9+c6nY7Q0NAsr2/nzp3odDri4uJynU0YxuO0xwTuDaRa4Wq8XT0XQ0r2ztB1MVzZCwe/NFxAYfRyNInfhg0b2LRpEwEBAYbOI0TW/DUF4q/Bv34B6xz9GmdqVM6D/o18mLn5DM0qFaFckYIGCilUuHnzJm5ubqpjiFxYcGQBNx/dZP4r87Gxyt3xTZmmUP9D2DYRyrcCD+mDaAlydOamRIkSODs7GzqLEFlzeS/s/wJemQBFKhpklaPbVaZ4IUdGroogXYanTJqXlxf29jL7tKk6FHOIHyN/ZHCtwZR1LWuYlbYKBpfiWmuWdJlo1hLkqLiZO3cuo0eP5sqVK4bOI8SLJT+E0I+gVCNoMNBgq3W0s2ZOD18irsbx1e5LBluvyBsZGRmMGjUKd3d3vLy8mDhxYubP/jkstW/fPmrWrImDgwN169YlNDQUnU7HsWPHnljn4cOHqVu3Lk5OTjRq1IizZ8/mz5sRmRJTE5kQNoHaRWvzVtW3DLdiuwLaTQfXD8O+BYZbrzBaOTrfV7duXZKSkihbtixOTk5P3Zp47560nRd5ZOsEeHQb+oZqt38bUJ3S7rzftCyfbz3HK5WLUsnL8s5OPk57TFR8VL5vt4xrGRxtsj6Z4nfffcfw4cM5cOAA4eHh9O/fn4CAAFq3bv3EcgkJCXTq1In27dvz888/c+XKlederzN+/Hjmzp1LkSJFGDBgAO+88w5hYWG5eVsim+b+PZd7SfdY1noZVjoD38xbyh8afqzdYVmxLXhmcc4cYZJyVNz07t2b69evM23aNDw9PWUCNJE/LmyHv7/Vuv+6G+h09T8Ma1WRvyJvMXzlMUIHBWBrbVmzJUTFR9FrQ6983+6KjiuoWrhqlpf39fUlODgYgAoVKrBo0SK2b9/+VHHz888/o9PpWLZsGQ4ODlStWpXr16/z/vvvP7XOqVOn0qxZMwDGjBlDhw4dSEpKwsHhxTNeC8PYd30fK8+tJNA/EG8X77zZSIvxcH4LrBkA7/8F2b29XJiMHBU3+/btIzw8HD8/P0PnEeLZHsfBusFQtjnUfTfPNuNga81nPWvS9YswFv11gWGtDXNNj6ko41qGFR1XKNludvj6+j7x52LFinHr1q2nljt79iy+vr5PFCj169d/6TqLFSsGwK1btyhVyvImeMxvCSkJBO0LomGxhvSs1DPvNmTrAN2WwrKWsHsOtBibd9sSSuWouKlcuTKPHz82dBYhnm/zWEh+AJ0X5flU6jVKujKoRXkW77hAqyqe1CjpmqfbMyaONo7ZOoOiyj+HwnU6HRm5nMfkf9f5n7PRuV2nyJqZB2fyKPURkwMm5/1IQPFa0HQk7J4NldppfxZmJ0fn3GfMmMGIESPYuXMnd+/eJSEh4YmHEAZ1ZhNE/AztpkOhPDpd/Q8ftyhPJS9nRqw6RnJaer5sUxhepUqVOHHiBMnJyZnPHTp0SGEi8U87onew7uI6RtcfjVcBr/zZaJOR2jU3awZAalL+bFPkqxwVN+3atSM8PJyWLVtStGhR3NzccHNzo1ChQjK/hDCsxHuwfghUbAc1++TbZu1srJjb04+oO4/4fOv5fNuuMKw33niDjIwMPvjgAyIjI/nzzz+ZM2cOgFwraATikuKYFD6JZiWb0aVcPk4Aa2OnDU/dvQg7p+XfdkW+ydGw1I4dOwydQ4hn2zgC0lOg0/x87+xb2cuFYa0rMufPs7Su6kmd0lK4mxoXFxfWr1/PwIEDqVmzJjVq1CAoKIg33nhDLhQ2AlMPTCVNn0Zww+D8LzY9q2nX3PwVApU6aHdTCbMhXcGF8Tr5O6x+G17/Bmp0VxIhLT2D7kvDiX+cyqZPmuBoZ9jbz1Wy1E7TP/30E2+//Tbx8fE4Omb99nOVzPHvavPlzXy661NmNZ3Fq2VeVRMiPQ2+bQuP78OAvWDnpCaHMLgc3+e6Z88e3nzzTRo1asT169cB+OGHH9i7d6/BwgkL9iBWO2tTtQtUf11ZDBtrbXjqRtxjZm4+oyyHyLnvv/+evXv3EhUVRWhoKKNHj6Znz54mU9iYozuP7zB1/1TalG5DO5926oJY22jDUwnXYfskdTmEweWouPntt99o27Ytjo6OHDlyJPNivfj4eKZNk/FLkUt6PWwYqk3S1+GzfB+O+qdyRQoyql1llu+7zL6Ld5RmEdkXExPDm2++SZUqVRg2bBg9evTgq6++Uh3LYun1eiaFT8JKZ0Vgg0D11z55VICWwXBgKUTtVptFGEyOipuQkBCWLl3KsmXLnjhFGhAQwJEjRwwWTlioiF/h7CboOA8KeKhOA8DbjXzwL+POp6uO8zBZetOYklGjRnH58mWSkpKIiori888/x8lJhh9UWX9pPTuv7iSoYRBuDkZyHZv/ACgdAKGDtCknhMnLUXFz9uxZmjZt+tTzrq6uxMXF5TaTsGTx1+GP0eD7L6jSUXWaTFZWOub08ON+YgpTN55WHUcIkxTzKIYZB2bQqWwnWpZqqTrOf1lZQZfFkHgX/hyvOo0wgBwVN15eXly4cOGp5/fu3UvZsnkzLb6wAHo9rPtYu6jv1Rmq0zzF292J8R2q8MvBq+w8+/RsuKbKwu4pMEnm8Hek1+sJ3heMo60jo+uPVh3nae5loM0UOPIdnN+mOo3IpRzdCv7+++8zZMgQvv32W3Q6HTdu3CA8PJyRI0cyYcIEQ2cUluLwcrj4F/T5DRyN5HT1P7xRvxSbT8Yw5rcT/Dm0Ka5OpnvnirW1NTqdjgcPHuDs7Kz+2gfxFL1eT3p6OgkJCeh0OmxscvSRbRRWn1/Nvhv7WNJqCa72Rjrrd913IHK91urlo31G+zkkXi5Ht4Lr9XqmTZvG9OnTSUxMBMDe3p6RI0cyZcoUg4c0JLkV3EjdvwxfNNJu+e68QHWaF7oR95i283bTuoonn/WqqTpOriQnJ3Pv3j2zODNgzuzs7ChUqJDJFjfXHlzjtXWv0aFsB4IbBquO82Lx1+CLhlCpPbz2peo0IodyNc9NSkoKFy5c4OHDh1StWpWCBQsaMluekOLGCGVkwHedID4aBu4De2fViV5q9eFrjFwVwZdv1aFttXyaMj6PZGRkkJ4uLSaMlZWVFVZWViZ7Zi1Dn8G7f77LzUc3+a3zbxSwLaA60ssd+xlCB0Kvn4zq2j+Rddn6GvDOO+9kablvv/02WyEWL17M7NmziYmJwc/Pj4ULFz63c+//+vXXX+nduzddunQhNDQ0W9sURuTgl3BlL/RbbxKFDcDrtUuw+eRNxq85QT0fd9wL2KmOlGP/+cdTiLzwc+TP/B37N9+0+cY0ChsAv95wep02JUWpBkZz16bIumx9oi1fvpwdO3YQFxfH/fv3n/vIjhUrVjB8+HCCg4M5cuQIfn5+tG3bllu3XnzB5uXLlxk5ciRNmjTJ1vaEkblzHrZNhPofQpmn78AzVjqdjmmv1SAtQ09g6AkZ1hHiGaLio5h3ZB59qvShfrGXf2E1Gjqd1vIlIw02DtdudhAmJVvDUoMGDeKXX36hdOnSvP3227z55pu4u7vnKoC/vz/16tVj0aJFgHaK3Nvbm8GDBzNmzJhnviY9PZ2mTZvyzjvvsGfPHuLi4p575iY5OfmJjsAJCQl4e3vLsJQxSE+Df7fTmmOa6NTn6yNuMPiXoyzoXYvOfsVVxxHCaKRnpNN3c1/ik+NZ1WkVjjYmOCP0yd9g9TtKW8CInMnWmZvFixdz8+ZNRo0axfr16/H29qZnz578+eefOfrmmpKSwuHDh2nVqtV/A1lZ0apVK8LDw5/7usmTJ1O0aFHefffdl25j+vTpuLq6Zj68vb2znVPkkX0L4Pph6LrEJAsbgE5+xengW4ygtSe5lZCkOo4QRmP5qeWcvHOSkIAQ0yxsQGv9Uq0bbBoJD2JUpxHZkO2Bdnt7e3r37s3WrVs5ffo01apV46OPPsLHx4eHDx9ma1137twhPT0dT0/PJ5739PQkJubZv0h79+7lm2++YdmyZVnaxtixY4mPj898XL16NVsZRR6JPQU7p0OjwSbfjXdKl+rYWOkY+7sMTwkBcP7+eRYfW0y/av2oWbSm6ji5034uWNnA+iEyPGVCcnUV4X+u4P/PXAx57cGDB7z11lssW7YMD4+sXeBlb2+Pi4vLEw+hWHoqrBkA7uWg+TjVaXLNvYAd01/zZfuZW6w+fE11HCGUSs1IZfze8ZR2Kc2gmoNUx8m9AoWh0wI4t1m7i0qYhGwXN8nJyfzyyy+0bt2aihUrcuLECRYtWkR0dHS2bwX38PDA2tqa2NjYJ56PjY3Fy+vp22svXrzI5cuX6dSpEzY2NtjY2PD999+zbt06bGxsuHjxYnbfjlBh9xztzE23JWDroDqNQbSu6slrtUswef1prsc9Vh1HCGWWHV/GufvnCGkcgr21veo4hlG5vXYH1eYx2jw4wuhlq7j56KOPKFasGDNmzKBjx45cvXqVVatW0b59+xzdSmpnZ0edOnXYvn175nMZGRls376dhg0bPrV85cqVOXHiBMeOHct8dO7cmRYtWnDs2DG5nsYU3DgKu2dD00+heC3VaQwquFM1CtjbMHr1cRmeEhbp1N1TLDu+jPd936da4Wqq4xhWuxlgVxDWDpLhKROQrbulrKysKFWqFLVq1XrhhFK///57lgOsWLGCfv368eWXX1K/fn3mzZvHypUrOXPmDJ6envTt25cSJUowffr0Z76+f//+L7xb6p9kEj+FUpPgq2ZgbQfv/wXWptu64Hl2nbtNv28PMqVrdd5qUFp1HCHyTUp6Cr029MLWypafOvyErZX5Hd9c2AY/vg4d5kK991SnES+QrUn8+vbta/BZMnv16sXt27cJCgoiJiaGmjVrsnnz5syLjKOjo2WCMXOxcxrcuwQf7DTLwgagWcUivOFfiumbImlawYPShU1k0jIhcmnxscVcSbjCrx1/Nc/CBqB8K6jzNmwJgnKvgLs0ijZWuWq/YIrkzI0i0Qfg27bQMgiaDFedJk89TE6j3bzdFHd15NcPGmBlZZrT5guRVcduHaPf5n4MrjWY92qY+RmN5AewpBG4lIT+G0G+fBsl+VsReS/lEYQOgJJ1odEnqtPkuYL2Nszp4cfBy/f4NixKdRwh8tTjtMcEhgVS3aM6/av1Vx0n79k7a3NzRe+DA0tUpxHPIcWNyHvbJkHCDe0Dwdo0uxpnV4OyhXk7wIdZf57lwq3szf8khCmZf2Q+MY9iCAkIwcbKMo5vfBqD/0Dts+32WdVpxDNIcSPy1qVdWmPMlsHgUUF1mnw1qm1lShZyZMSqCNLSM1THEcLgDt48yE+RPzGk9hDKuJZRHSd/tQyCQt7anF3paarTiH+Q4kbknaQEWPsxlG4M/gNUp8l3jnbWzOnpx4lrcXy5+5LqOEIY1KPUR0wIm0Bdz7r0qdJHdZz8Z+eknY2+eQzC5qlOI/5BihuRd7YEQuJd6LLIYi+6q13KjQ+blWPetnNE3kxQHUcIg5l9aDb3k+8zOWAyVjrLPL7xrg8BQ2DnDIg5qTqN+B8W+hsp8tz5rXDkO2gbAu4Wdrr6H4a2qkBZj4IMXxlBSpoMTwnTt/f6Xn47/xsj647E29nCJ09tPlYbcl8zANJSVKcR/0+KG2F4j+/DusHaPBB13ladRjl7G2vm9vTjfOwDFv11XnUcIXIlPjme4LBgGhVvRI+KPVTHUc/GXhueuh2pzb4ujIIUN8Lw/hgNKYnQeREYeNJHU1W9hCuDX6nA4p0XibgapzqOEDk24+AMHqc9ZlKjSQaf1NVkFa+ptZTZMxeuH1adRiDFjTC0yPVwfAW8OhNcS6hOY1Q+alGOqsVcGLEqgqTUdNVxhMi27Ve2s+HSBkbXH41XgaebG1u0JiPAqzqsGai1mhFKSXEjDOfRHVg/FCq1B79/qU5jdGytrZjb04/ou4l8tvWc6jhCZMu9pHtM3j+Z5t7N6Vyus+o4xsfaFrp9CfejYEeI6jQWT4obYRh6PWwYBvoM6DhPhqOeo6KnM8PbVGTZnkv8ffme6jhCZIlerydkfwjp+nSCGwbLcNTzFK0CLcbDvkUQvV91GosmxY0wjJO/QeQ6rVuus6fqNEbt/SZlqeVdiBGrIkhMkcm/hPH7I+oPtl7ZSmCDQDwcPVTHMW6NBkPJetrdUymPVKexWFLciNx7EAMbR0C116D6a6rTGD1rKx1ze9YkNiGJmX+cUR1HiBe6nXibqQem0tanLe182qmOY/ysrKHbUu1zcdtE1WkslhQ3Inf0elj3CVjbaWdtRJaU8SjAmHaV+S78CmEX7qiOI8Qz6fV6JoZPxNbKlvH+41XHMR2Fy0HrSXDwK7i0U3UaiyTFjcidYz/B+T+h03xwcledxqT0behDw7KFGbX6OA+SUlXHEeIpoRdC2X1tN8ENg3FzcFMdx7TUex98mmgtaJJkdvL8JsWNyLm4q7B5LPi9AZXbq05jcqysdMzq7ktcYgpTN0aqjiPEE24+vMmsQ7PoXK4zLUq1UB3H9FhZQZfF2qSmW+SsV36T4kbkjF4P6z4Ge2doN111GpPl7e5EYMeq/HroKjvO3FIdRwhAG44K2heEk60To+uPVh3HdLmVhrbT4Mj3cG6L6jQWRYobkTN/f6ONJXdeCI6FVKcxaf+q502zikUY/dtx4hKlN41Qb+XZley/uZ8pjabgYueiOo5pq90XyrfWWtIkyvQP+UWKG5F99y7BlglQ9x0o31J1GpOn0+mY+bovSanpTFx3SnUcYeGuJlxl7uG59KjYg0YlGqmOY/p0Oui8ANIea61pRL6Q4kZkT0Y6hA6CAkWg9RTVacyGl6sDk7pUI/TYDTafvKk6jrBQ6RnpBIYF4u7gzoi6I1THMR8uxeHV2XBiJZxepzqNRZDiRmTP/iUQHQ5dvwD7gqrTmJWuNUvQpqon49ec5M7DZNVxhAX6MfJHjtw6wpSAKRSwLaA6jnnx7QmVO2ozuT+S6R/ymhQ3Iutun4Xtk6HBQPBprDqN2dHpdEx7rQZ6IHDNSfR6vepIwoJcirvEgiMLeLPKm9Tzqqc6jvnR6aDj54AeNgzVbsoQeUaKG5E16WnadOKFSkHLINVpzJZHQXtCulZn86kY1kXcUB1HWIi0jDTG7x1P8YLFGVJ7iOo45qtgUejwGUSuhxOrVacxa1LciKwJmwc3j2nTits6qk5j1trXKEZnv+IErT1FbEKS6jjCAvz75L85fe80IY1DcLBxUB3HvFXrCtW7w6aRkCDX1+UVKW7Ey8WcgJ0zIGAolKyrOo1FmNylGnY2Voz57bgMT4k8dfbeWb6I+IJ3qr+DXxE/1XEsQ/vZYGMP6z+R4ak8IsWNeLG0FFgzEDwqQvMxqtNYjEJOdsx4rQY7zt5m1d/XVMcRZio1PZXxe8dTxrUMA/0Gqo5jOZzcodMCOL8Fjv6oOo1ZkuJGvNjuWXA7UhuOsrFXncaitKziSY86JZm84TTX7ieqjiPM0NLjS7kYd5GpAVOxs7ZTHceyVGoHNd/UWtjERatOY3akuBHPd/0w7PkMmo6CYr6q01ikCZ2q4uJgw6jVx8nIkNPXwnBO3jnJNye+4QO/D6hSuIrqOJap3TRwcIW1gyAjQ3UasyLFjXi21CRtOMqrBjQZrjqNxXJxsGVWdz/2XbzLjweuqI4jzERyejLj946nknsl3qvxnuo4lsvBFbosgqjdWksbYTBS3Ihn2xEC9y9rw1HWtqrTWLTGFTx4q0Fppm86w+U7j1THEWZg0dFFXH1wlakBU7G1kuNbqXItoN57sDUI7l5UncZsSHEjnnYlHPYtglfGQ1E5XW0MxrxamSLO9oxcFUG6DE+JXDgSe4TvTn3H4FqDKe9WXnUcAdBqkjYHTuhHWosbkWtS3IgnpTyC0IHgXR8afqw6jfh/BextmNPDj8PR9/l2b5TqOMJEJaYmEhgWiF8RP/pW7as6jvgP+4LQdQlcPQD7v1CdxixIcSOetDUYHsRoB5qVteo04n/UL+POuwFlmL3lLOdjH6iOI0zQ54c/53bibUIah2Atx7dxKd0IGg6C7VPg1hnVaUyeFDfivy7thEPLoPUkKFxOdRrxDCPbVsLbzZERqyJIS5e7K0TW7b+5n1/P/srQOkMp7VJadRzxLK8EgltpCB2gtbwROSbFjdAkJcDaj8GnCdR7X3Ua8RwOttbM7VmTk9fjWbJTLj4UWfMw5SFBYUHU96pP78q9VccRz2PrCF2Xws0I2Pu56jQmTYoboflzHDy+D10Wg5X8Whizmt6FGNi8HAv+Os+pG/Gq4wgTMPvv2cQnxzM5YDJWOjm+jVrJOtB4GOyaCTePq05jsuS3XMC5P+HoD9B2mnZKVBi9T1pWoFyRgoxYGUFKmgxPiefbfW03v5//nVH1RlGiYAnVcURWNBsNRSppN3ekpahOY5KkuLF0ifdg3SdQvjXUlrsnTIW9jTVze/px4dZDFmw/rzqOMFLxyfFM3DeRxiUa81qF11THEVllY6/d1HH7jHYGR2SbFDeW7o9RkPYYOi8AnU51GpEN1Yq7MqRlBb7YeYFjV+NUxxFGaNqBaSSlJzGx4UR0cnyblmK+0GwM7P0Mrh1WncbkSHFjyU6vgxOr4NXZ4FJcdRqRAwObl6NGCVdGrDxGUqpM/iX+a+uVrWyK2sQ4/3F4FvBUHUfkRONhUMxPu3sq9bHqNCZFihtL9fA2bBgKlTuCb0/VaUQO2VhbMbenH1fvP2bOn2dVxxFG4u7ju0wJn0LLUi3pUKaD6jgip6xttLun7l+Bv0JUpzEpUtxYIr0eNg7T/rvjPBmOMnHlizrzaZtKfBMWxcGoe6rjCMX0ej0h+7V/CCc0mCDDUaauaGVt/pvwxXBln+o0JkOKG0t0YhVErocOn0HBIqrTCAN4p3EZ6pRyY+SqCB4ly+Rflmxj1Ea2RW9jQsMJFHYsrDqOMISGg8DbX7t7Kvmh6jQmQYobS5NwEzaNhOrdoVpX1WmEgVhb6ZjTw4/bD5KZ8YdM3W6pbiXeYtqBabQv057WpVurjiMMxcoaun4BD2/BtmDVaUyCFDeWRK+HdYPBxgHaz1adRhiYj0cBxravzA/7r7D3/B3VcUQ+0+v1BO8LxsHagXH+41THEYZWuBy0ngyHvoaLO1SnMXpS3FiSoz/Aha3QeSE4uatOI/LAm/6lCShfmFGrI0hISlUdR+SjNRfWsPf6XiY2moirvavqOCIv1H0XyjTVWuUkyezkLyLFjaWIi4bN46DWm1Cxreo0Io9YWemY1d2PhKQ0QjacVh1H5JMbD28w69AsupXvRtOSTVXHEXnFykprkZMUr7XMEc8lxY0lyMiAtYPAwVVrsSDMWolCjgR1rMrKv6+xPTJWdRyRxzL0GQSFBeFi58KoeqNUxxF5rVApaDcNjv4IZzerTmO0pLixBH9/A1G7ocsircARZq9H3ZK0qFSEMb+f4P4j6U1jzlacXcGBmANMDphMQbuCquOI/FDrLajQBtZ/orXQEU+R4sbc3b0IW4Og3ntQroXqNCKf6HQ6ZrzuS0paBsHrTqmOI/JIdEI0nx/+nF6VetGgWAPVcUR+0emg0wJIS4ZNn6pOY5SkuDFnGekQ+hEU9IRWk1SnEfnM08WByV2qsS7iBptO3FQdRxhYekY6gWGBeDh6MLzOcNVxRH5zKQbt58DJ1XAqVHUaoyPFjTkLXwxXD2jdZe3ldLUl6uxXnHbVvAgMPcmdh8mq4wgD+uH0Dxy7dYyQgBCcbJ1UxxEq1OgOVTrBxuHaHDgikxQ35urWGa0XScNBULqh6jRCEZ1OR0i36uiAcb+fQK/Xq44kDOBi3EUWHl1I36p9qe1ZW3UcoYpOp7XQQQcbhmlzmQlAihvzlJ6mdZF1K631JBEWzaOgPVO7VWfL6VhCj11XHUfkUlpGGuP3jqeEcwk+rvWx6jhCtQIe0PFzOLMBjq9UncZoSHFjjvZ+DjePa91kbR1VpxFGoF31YnStWZzgtaeIiU9SHUfkwjcnvuHMvTNMDZiKg42D6jjCGFTtDDV6wh+fQsIN1WmMghQ35ubmcdg1AxoPg5J1VKcRRmRS5+o42Foz+rfjMjxlos7cO8PSiKW8U/0dahSpoTqOMCbtZ4GNo9ZiR45vKW7MSlqy1jW2SGVoNlp1GmFkXJ1smfm6L7vO3WbFoauq44hsSklPYfze8ZQtVJaBfgNVxxHGxtFNa61zYRsc+V51GuWkuDEnu2bC7bPQbSnY2KlOI4xQi8pF6VXXmykbTnP1XqLqOCIblkYs5VL8JaY1noatta3qOMIYVWyjTfD35zi4f0V1GqWkuDEX1/7WrrVpPhq85HS1eL7AjlUo5GTHqNXHyciQ09em4Pjt43xz8hsG+A6gknsl1XGEMWs7TTuLs3aQ1nrHQklxYw5SH8OaAVCsJgQMU51GGDlnB1tmd/cl/NJdvg+/rDqOeImktCTG7x1PVfeqvFvjXdVxhLFzcNGaa17eA4eWqU6jjBQ35uCvEK3rd7elYG2jOo0wAY3Ke9CvYWlmbD5D1J1HquOIF1h4dCE3Ht5gauOp2FjJ8S2yoGwzqP8BbA3WWvBYICluTN2VfdpMxC0nQBE5XS2ybvSrlfFycWDEymOky/CUUToce5gfTv/AJ7U/oWyhsqrjCFPSaqLWomHNAK0Vj4UxiuJm8eLF+Pj44ODggL+/PwcPHnzussuWLaNJkya4ubnh5uZGq1atXri8WUt+qN0d5e0PDT5SnUaYGCc7G+b08OPo1Ti+3nNJdRzxD4mpiQTuDaRm0Zq8WeVN1XGEqbEroLXeuXYIwhepTpPvlBc3K1asYPjw4QQHB3PkyBH8/Pxo27Ytt249u0/Gzp076d27Nzt27CA8PBxvb2/atGnD9esWOPPq1iCtn0jXL8DKWnUaYYLq+rjzfpOyzN1yjnOxD1THEf/js8OfcTfpLiEBIVjL8S1yolQDaPSxdunCrUjVafKVTq94Ni9/f3/q1avHokVaZZmRkYG3tzeDBw9mzJgxL319eno6bm5uLFq0iL59+750+YSEBFxdXYmPj8fFxSXX+ZW5+Bf80E3rClv/fdVphAlLSk2n48K9ONhaseajAGytlX/nsXj7buzjw60fMs5/HL0r91YdR5iy1CT4sqk2W/1728BCphFQ+imWkpLC4cOHadWqVeZzVlZWtGrVivDw8CytIzExkdTUVNzd3Z/58+TkZBISEp54mLykeFj7MZRpBnXl7gmROw621szt4UfkzQd8scMyLz40Jg9SHhAUFoR/MX96VeqlOo4wdbYO0G0JxJyAPZ+pTpNvlBY3d+7cIT09HU9Pzyee9/T0JCYmJkvrGD16NMWLF3+iQPpf06dPx9XVNfPh7e2d69zKbR4HSQna7X5W8i1b5J6fdyE+al6OhX+d5+T1eNVxLNqsQ7N4mPqQKY2mYKWT41sYQIk60GQ47J4FN46pTpMvTPrImTFjBr/++itr1qzBweHZDeTGjh1LfHx85uPqVROfdv7sZjj2I7SbDoXMoFATRmPwKxWo4OnMiJURJKdZ3t0VxmDX1V2EXghldL3RFCtYTHUcYU6ajoIiVbSbUNKSVafJc0qLGw8PD6ytrYmNjX3i+djYWLy8vF742jlz5jBjxgy2bNmCr6/vc5ezt7fHxcXliYfJSrwH6z+BCm2gltw9IQzLzsaKz3r6cenOQ+ZtO686jsWJS4pjYvhEmpRoQtfyXVXHEebGxk6bC+3Oedg5XXWaPKe0uLGzs6NOnTps374987mMjAy2b99Ow4YNn/u6WbNmMWXKFDZv3kzdunXzI6px2DRSq7g7LQCdTnUaYYaqFHNhaKuKfLnrIkei76uOY1GmHZhGSnoKExtNRCfHt8gLXtWh+RgImw9XD6lOk6eUD0sNHz6cZcuW8d133xEZGcnAgQN59OgRb7/9NgB9+/Zl7NixmcvPnDmTCRMm8O233+Lj40NMTAwxMTE8fPhQ1VvIH6fWwMnftLujXOR0tcg7HzYtS42ShRixMoLHKTI8lR+2XN7CH5f/YJz/OIo6FVUdR5izgKFQvBaEDoAU822eq7y46dWrF3PmzCEoKIiaNWty7NgxNm/enHmRcXR0NDdv3sxcfsmSJaSkpNC9e3eKFSuW+ZgzZ46qt5D3Ht6CDcOhSmeo0V11GmHmbKytmNvDjxtxj5n15xnVcczencd3mLJ/Cq1Lt6Z9mfaq4whzZ20DXZdC/DX4a4rqNHlG+Tw3+c3k5rnR62HFmxC9HwYdgAIeqhMJC/H1nkuEbIzkl/cb0LBcYdVxzJJer2fojqEcu32MNV3W4O7w7CkthDC4fYtgy3jovxF8GqtOY3DKz9yIlzi+As5sgI6fS2Ej8tXbAWWo7+POp6sjeJicpjqOWdpwaQN/Xf2LCQ0mSGEj8leDgVCqEYR+BMnmNzu5FDfGLP46bBoFNXpC1c6q0wgLY22lY3YPX+4+TGHaJsuauj0/xDyKYfqB6XQo24FWpZ89T5cQecbKGrouhke3YcsE1WkMToobY6XXw7rB2pTZ7WepTiMsVOnCBRjXoQo/H4hm17nbquOYDb1ez8R9E3G0cWRs/bEvf4EQecG9LLSeDIf/DRe2qU5jUFLcGKsj38HF7dB5ITi6qU4jLNib/qVoXN6D0auPE/84VXUcs/Db+d8IuxHGxEYTcbV3VR1HWLK670LZ5rB2MDyOU53GYKS4MUb3r8Cf46HWW1Cxjeo0wsLpdDpmdvflUXIak9efVh3H5F1/eJ3Zh2bzeoXXaVKyieo4wtJZWUHnRZDyEDabz1lEKW6MTUYGrB2kna1pO011GiEAKFHIkQmdqvLbkWtsPR378heIZ8rQZzAhbAKu9q6MrDtSdRwhNIW8tZY+ET/DmU2q0xiEFDfG5uBXcHmP1hTTwQRuVRcWo0edkrSsXJSxv5/g3qMU1XFM0i9nfuFQzCGmBEyhoF1B1XGE+K+afaBiO1g/BB7dVZ0m16S4MSZ3LsC2iVD/AyjbTHUaIZ6g0+mY/loNUtMzmLD2pOo4Judy/GXmHZ5H78q98S/mrzqOEE/S6aDTfEhPgU0jVKfJNSlujEVGutat1aUYtJqoOo0Qz1TUxYEpXauz8fhN1kfcUB3HZKRnpBMYFkhRp6IMrT1UdRwhns3ZCzrM/W+7HxMmxY2x2LcQrh2CrkvAroDqNEI8VyffYrSv4cWEtSe59SBJdRyT8N3p7zh++zghjUNwsnVSHUeI56v+OlTtAhtHwAPTvb5OihtjEHsadkyFRoOhVAPVaYR4IZ1Ox5Qu1bGx0jHu95NYWAeXbLtw/wKLji6iX7V+1CpaS3UcIV5Mp4MOn4GVDWwYqs25ZoKkuFEtPVXrzupeFlqMV51GiCwpXNCeqd1qsC0ylt+OXFcdx2ilZqQybu84SjmX4uNaH6uOI0TWFPCAjvPg7CaI+EV1mhyR4ka1PXMh5qQ2HGXroDqNEFnWtpoXr9UqwaT1p7gR91h1HKP09YmvOXf/HFMbT8Xe2l51HCGyrkpH8P0X/DFG6yBuYqS4UenGMdg9G5qMgBK1VacRItuCO1XDyc6a0b8dl+Gpfzh99zRfRXzFezXeo5pHNdVxhMi+V2eAnZPWCsjEjm8pblRJS4Y1A6BoFWj6qeo0QuSIq5MtM1/3Zc/5O/x8MFp1HKORkp7C+L3jKe9Wng99P1QdR4iccXTTZi+++JfWf8qESHGjys7pcPcCdPsSbOxUpxEix5pXKkrv+t5M3RhJ9N1E1XGMwhfHvuBywmWmNp6KrbWt6jhC5FyFVlC7H/wZCPeiVKfJMiluVLh6CMLmQ/Mx4Cmnq4XpG9+hKu4F7Bi5OoKMDNM6fW1oEbcj+PepfzOo5iAqulVUHUeI3Gs7FQoUhrUfay2CTIAUN/ktJVG7O6p4LQgYqjqNEAZR0N6GWd19ORh1j3/vu6w6jjKP0x4TuDeQaoWr0b9af9VxhDAMe2etJdCVvXDwS9VpskSKm/y2fbJ25XnXpWBtozqNEAbTqJwH/Rv5MGvzGS7efqg6jhILjizg5qObhDQOwcZKjm9hRso0Bf8BWougO+dVp3kpKW7yU9QeOLAEWgZBETldLczP6HaVKV7IkRErI0hLN43T14ZyKOYQP0b+yCe1PqGsa1nVcYQwvJbB4FJCuxkmPU11mheS4ia/JD+AtR9BqUbgP1B1GiHyhKOdNXN6+HL8Whxf7bmkOk6+eZT6iAlhE6hdtDZvVn1TdRwh8oadkzYn240jsG+B6jQvJMVNftkSqLWR77oYrGS3C/NVp7Q77zcty+dbz3EmJkF1nHwx5+853Eu6R0hACFY6Ob6FGSvlr7UK2jENYk+pTvNcchTmhwvb4PByaDNZa7MghJkb1qoiZTwKMGJlBClp5j08FXY9jNXnVjOizgi8XbxVxxEi7zUfB4XLa8NTaSmq0zyTFDd57XEcrB0MZVtA3XdVpxEiXzjYWjO3R03OxDxg0Y4LquPkmYSUBIL2BdGwWEN6VuqpOo4Q+cPWAbot0c7c7JmjOs0zSXGT1zaPgZSH0GWR1m1VCAtRo6Qrg1qUZ/GOC5y4Fq86Tp6YeXAmiamJTA6YjE6Ob2FJitfSZtffPQduHFWd5ilS3OSlMxu1jqrtZoBrSdVphMh3H7coT2UvZ4avPEZSarrqOAb1V/RfrLu4jtH1R+NVwEt1HCHyX9OR2kS0awZAapLqNE+Q4iavPLoL64dAxXZQ8w3VaYRQws7Girk9/bhyN5HPt51THcdg7ifdZ1L4JJqVbEaXcl1UxxFCDWtbrYXQvUuwc5rqNE+Q4iavbBwOGWnQab4MRwmLVtnLhaGtK/DV7kscvnJPdRyDCNkfQro+neCGwTIcJSybZ1VoMQ7CFkD0AdVpMklxkxdO/ganQ6H9HHCW09VCfNCkLDW9CzFiZQSJKcY9+dfLbI7azJYrWxjvP54iTkVUxxFCvUafQMm6WmuhlEeq0wBS3Bjeg1jYOAKqdoXqr6tOI4RRsLG2Yk4PP27GJzFr81nVcXLszuM7hBwIoU3pNrTzaac6jhDGwcpaaymUcBO2TVKdBpDixrD0elj/CVjZQIfPZDhKiP9RrkhBRrerzPJ9l9l38Y7qONmm1+uZuG8i1jprAhsEynCUEP/Lozy0CtYaa0btVp1GihuDOvYznNsMHedp7eGFEE/o38gH/zLufLrqOA+SUlXHyZa1F9ey69oughoG4ebgpjqOEMan/odQujGEDoIktbOTS3FjKPHXtDltfP8FVTqqTiOEUbKy0jGnhx/3E1OYtilSdZwsi3kUw8yDM+lUthMtS7VUHUcI42RlpbUYenxPazmkMorSrZsLvR7Wfgx2BeHVGarTCGHUvN2dGN+hCr8cvMrOs7dUx3kpvV5PUFgQTjZOjK4/WnUcIYybmw+0CYEj38H5bcpiSHFjCH9/C5d2QOeF4Cinq4V4mTfql6JJBQ9G/3ac+ETjHp5adW4V4TfDmRQwCVd7V9VxhDB+dfpDuZaw7mN4fF9JBClucuteFGyZoP1lVmilOo0QJkGn0zGruy+JKelMWm+8nYWvPrjKnL/n8HqF12lcorHqOEKYBp1O+7Kfkgh/jFESQYqb3MjIgLWDtIuH24SoTiOESSnm6sjETtX4/eh1/jwVozrOUzL0GUwIm4C7gzuf1vtUdRwhTItrCXh1Jhz/FSI35PvmpbjJjQNL4UoYdPkC7J1VpxHC5LxWuwStqngyfs0J7j5MVh3nCT9F/sTh2MNMCZhCAdsCquMIYXr8/gWVOsCGofAof6d/kOImp+6ch+2TwH8AlGmiOo0QJkmn0zHtteqkZ+iZsPYker1edSQAouKjmH9kPn2q9KGeVz3VcYQwTToddJoHGelaS6J8PL6luMmJ9DStC6pLCWgZrDqNECatqLMDU7pWZ9OJGNYfv6k6DmkZaQTuDcSrgBdDag9RHUcI01awKHT8DE6v1VoT5RMpbnJi33y4cQS6LQU7J9VphDB5HX2L09G3GBNCT3IrIUlpluWnlnPy7klCAkJwtHFUmkUIs1CtG1R7TWtN9CB/rq+T4ia7Yk/BjunQaDB411edRgizMaVLdWytrRj7+wllw1Pn7p9j8bHF9K/Wn5pFayrJIIRZ6jAXbOxh/ZB8GZ6S4iY70lJgzYdQuDy0GK86jRBmxa2AHdNfq8H2M7dYdfhavm8/NT2V8XvH4+Piw6Cag/J9+0KYNSd36DRfa1F07Kc835wUN9mxZw7cioRuS7QKVAhhUK2retK9TkmmrD/N9bjH+brtr058xYX7F5jaeCp21nb5um0hLEKlV6FmH9g8FuKu5ummpLjJqutHYPccaDISitdSnUYIsxXUqSoFHWwYvfp4vg1PnbpzimXHl/GB7wdULVw1X7YphEVqN12bOmXdx3k6PCXFTVakJkHoQPCsBk1Hqk4jhFlzcbBl5uu+7L1whx8PROf59pLTkxm/dzwV3Srynu97eb49ISyag6s2e/GlnfD3N3m2GSlusmLnNLh3Cbp9Cda2qtMIYfaaVixCH/9STN8UyZW7j/J0W4uPLSb6QTRTG0/F1kqObyHyXPmWUPcd2BKk/duaB6S4eZnoAxC2AFqMA085XS1EfhnXvgqFC9rx6arjZGTkzenrY7eOsfzkcgbVHEQFtwp5sg0hxDO0ngIFPCB0kNbKyMCkuHmRlEcQOgBK1oVGn6hOI4RFKWBvw5zufhy6co9vw6IMvv7E1ETG7x2PbxFf+lfrb/D1CyFewL4gdF0C0eFwYInBVy/FzYtsmwQJN6HrUrCyVp1GCIvjX7Ywbzcqw6w/z3Lh1kODrnv+kfncSrxFSEAI1nJ8C5H/fAKgwUDt39rb5wy6ailunidqNxz8ElpNBI/yqtMIYbFGtatESTdHRqyKIC3dMKevD948yM9nfmZonaH4uPoYZJ1CiBxoGQSFSmmjJOlpBlutFDfPkpSgjQP6NIH6H6hOI4RFc7C1Zm4PP05ci+PL3bm/+PBhykMmhE2gnlc9elfubYCEQogcs3XUWhndOAph8wy2WilunmVLIDy+B10WgZXsIiFUq1XKjQHNyjFv2zlO30jI1brm/D2HuOQ4JjeajJVOjm8hlCtZFwKGws4ZEHPSIKuUI/ufzm+FI99BmxBw81GdRgjx/4a0qkC5IgUZsSqClLScDU/tubaH387/xsh6IynpXNLACYUQOdZ8DHhUhDUDtFZHuSTFzf96fB/WDYZyLaFOf9VphBD/w97Gmjk9/Dgf+4CFf53P9uvjk+OZuG8iAcUD6F6hex4kFELkmI291trodiTsnp3r1Ulx87/+GA0pidrsiTqd6jRCiH+oXsKVwa9U4IudF4m4Gpet1844OIPHaY+Z2GgiOjm+hTA+xfyg6SjYMxeuH87VqqS4+Y/I9XB8BbSfBa4lVKcRQjzHRy3KUbWYCyNWRZCUmp6l12y/sp0NlzYw1n8sXgW88jihECLHmgwHrxqwZqDW+iiHpLgBeHQH1g+FSh3At5fqNEKIF7C1tmJuTz+i7yby2daXz41xL+kek/dPpoV3CzqW7ZgPCYUQOWZtq909dT8KdoTkeDVS3Oj1sGEY6DOg0zwZjhLCBFT0dGZEm4os23OJQ5fvPXc5vV5PyP4QMvQZBDUMkuEoIUxB0SrwSiDsWwTR+3O0CiluTv4Gkeug42dQsKjqNEKILHqvSVlql3Lj/e//Ztvp2Kd+npiaSGBYIFuvbCWwQSAejh4KUgohcqThx+BdX7t7KiX7zXMtu7h5EAMbR0C116BaN9VphBDZYG2l4+u+dalTyo33vv+byetPZ94ifvbeWXpt6MXWK1uZ2ngqbX3aKk4rhMgWK2ut99SDGNg2Mdsv1+n1+rxpt2ukEhIScHV1JT4uDpcN72uzIg46AE7uqqMJIXJAr9fzbdhlZvwRSSUvZzo0iuLr0/PxcfVhTrM5lHEtozqiECKnDnwJf4yCvmuhbPMsv8woztwsXrwYHx8fHBwc8Pf35+DBgy9cftWqVVSuXBkHBwdq1KjBpk2bsr/R4yvh/J/QeYEUNkKYMJ1Ox7uNy/D9ezW4YfclX5ycTS33tvzc4WcpbIQwdfXe11ohrf1Ya42URcqLmxUrVjB8+HCCg4M5cuQIfn5+tG3bllu3bj1z+X379tG7d2/effddjh49SteuXenatSsnT2ZzyuatwVCzD1R61QDvQgih0vHbx5l05H3snS9SzWYw2/YEEBx6lscpWbtVXAhhpKysoMtibZLdP8dl+WXKh6X8/f2pV68eixYtAiAjIwNvb28GDx7MmDFjnlq+V69ePHr0iA0bNmQ+16BBA2rWrMnSpUtfur3MYampFXEZfhAcXA33ZoQQ+SpDn8F3p75jwZEFVPWoyqymsyheoDgrDl1l4vpTlHJ3YtEbtano6aw6qhAiNw5/B+s/gYnxWVrcJo/jvFBKSgqHDx9m7Nixmc9ZWVnRqlUrwsPDn/ma8PBwhg8f/sRzbdu2JTQ09JnLJycnk5ycnPnn+HhtxzRyssb6+6a5fAdCCJX06EnLSOOtKm/xgd8H2GbY8uDBA9pXLkRFd19Groqg9czN2EgDXCFMXAEWWlencUICzs7OL53WQWlxc+fOHdLT0/H09HzieU9PT86cOfPM18TExDxz+ZiYmGcuP336dCZNmvTU86eGReYwtRDC2Iz7//8JIcxXB4BZrsTHx+Pi4vLCZZUWN/lh7NixT5zpiYuLo3Tp0kRHR+PqKkNSuZWQkIC3tzdXr1596S+beDnZn4Yl+9PwZJ8aluzP7HN2fvkws9LixsPDA2tra2Jjn5yAKzY2Fi+vZ/d/8fLyytby9vb22NvbP/W8q6ur/CIZkIuLi+xPA5L9aViyPw1P9qlhyf40LKUD0XZ2dtSpU4ft27dnPpeRkcH27dtp2LDhM1/TsGHDJ5YH2Lp163OXF0IIIYRlUT4sNXz4cPr160fdunWpX78+8+bN49GjR7z99tsA9O3blxIlSjB9+nQAhgwZQrNmzZg7dy4dOnTg119/5e+//+arr75S+TaEEEIIYSSUFze9evXi9u3bBAUFERMTQ82aNdm8eXPmRcPR0dFY/c+dDo0aNeLnn38mMDCQcePGUaFCBUJDQ6levXqWtmdvb09wcPAzh6pE9sn+NCzZn4Yl+9PwZJ8aluzPvKF8nhshhBBCCEOSyR+EEEIIYVakuBFCCCGEWZHiRgghhBBmRYobIYQQQpgVsyhuFi9ejI+PDw4ODvj7+3Pw4MEXLr9q1SoqV66Mg4MDNWrUYNOmTU/8XK/XExQURLFixXB0dKRVq1acP38+L9+CUTH0/uzfvz86ne6JR7t27fLyLRiV7OzPU6dO8frrr+Pj44NOp2PevHm5Xqe5MfT+nDhx4lO/n5UrV87Dd2BcsrM/ly1bRpMmTXBzc8PNzY1WrVo9tbx8fhp2f1r652eO6U3cr7/+qrezs9N/++23+lOnTunff/99faFChfSxsbHPXD4sLExvbW2tnzVrlv706dP6wMBAva2trf7EiROZy8yYMUPv6uqqDw0N1UdEROg7d+6sL1OmjP7x48f59baUyYv92a9fP327du30N2/ezHzcu3cvv96SUtndnwcPHtSPHDlS/8svv+i9vLz0n3/+ea7XaU7yYn8GBwfrq1Wr9sTv5+3bt/P4nRiH7O7PN954Q7948WL90aNH9ZGRkfr+/fvrXV1d9deuXctcRj4/Dbs/LfnzMzdMvripX7++ftCgQZl/Tk9P1xcvXlw/ffr0Zy7fs2dPfYcOHZ54zt/fX//hhx/q9Xq9PiMjQ+/l5aWfPXt25s/j4uL09vb2+l9++SUP3oFxMfT+1Ou1g7NLly55ktfYZXd//q/SpUs/8x/j3KzT1OXF/gwODtb7+fkZMKXpyO3vUlpamt7Z2Vn/3Xff6fV6+fw09P7U6y378zM3THpYKiUlhcOHD9OqVavM56ysrGjVqhXh4eHPfE14ePgTywO0bds2c/moqChiYmKeWMbV1RV/f//nrtNc5MX+/I+dO3dStGhRKlWqxMCBA7l7967h34CRycn+VLFOU5GX7/38+fMUL16csmXL0qdPH6Kjo3Mb1+gZYn8mJiaSmpqKu7s7IJ+fht6f/2GJn5+5ZdLFzZ07d0hPT8+czfg/PD09iYmJeeZrYmJiXrj8f/4/O+s0F3mxPwHatWvH999/z/bt25k5cya7du3i1VdfJT093fBvwojkZH+qWKepyKv37u/vz/Lly9m8eTNLliwhKiqKJk2a8ODBg9xGNmqG2J+jR4+mePHimf+gy+enYfcnWO7nZ24pb78gzN+//vWvzP+uUaMGvr6+lCtXjp07d9KyZUuFyYSAV199NfO/fX198ff3p3Tp0qxcuZJ3331XYTLjNmPGDH799Vd27tyJg4OD6jgm73n7Uz4/c8akz9x4eHhgbW1NbGzsE8/Hxsbi5eX1zNd4eXm9cPn//H921mku8mJ/PkvZsmXx8PDgwoULuQ9txHKyP1Ws01Tk13svVKgQFStWlN/PF5gzZw4zZsxgy5Yt+Pr6Zj4vn5+G3Z/PYimfn7ll0sWNnZ0dderUYfv27ZnPZWRksH37dho2bPjM1zRs2PCJ5QG2bt2auXyZMmXw8vJ6YpmEhAQOHDjw3HWai7zYn89y7do17t69S7FixQwT3EjlZH+qWKepyK/3/vDhQy5evCi/n88xa9YspkyZwubNm6lbt+4TP5PPT8Puz2exlM/PXFN9RXNu/frrr3p7e3v98uXL9adPn9Z/8MEH+kKFCuljYmL0er1e/9Zbb+nHjBmTuXxYWJjexsZGP2fOHH1kZKQ+ODj4mbeCFypUSL927Vr98ePH9V26dLGoWxkNuT8fPHigHzlypD48PFwfFRWl37Ztm7527dr6ChUq6JOSkpS8x/yU3f2ZnJysP3r0qP7o0aP6YsWK6UeOHKk/evSo/vz581lepznLi/05YsQI/c6dO/VRUVH6sLAwfatWrfQeHh76W7du5fv7y2/Z3Z8zZszQ29nZ6VevXv3ErckPHjx4Yhn5/DTM/rT0z8/cMPniRq/X6xcuXKgvVaqU3s7OTl+/fn39/v37M3/WrFkzfb9+/Z5YfuXKlfqKFSvq7ezs9NWqVdNv3LjxiZ9nZGToJ0yYoPf09NTb29vrW7ZsqT979mx+vBWjYMj9mZiYqG/Tpo2+SJEieltbW33p0qX177//vkX8Q/wf2dmfUVFReuCpR7NmzbK8TnNn6P3Zq1cvfbFixfR2dnb6EiVK6Hv16qW/cOFCPr4jtbKzP0uXLv3M/RkcHJy5jHx+Gm5/yudnzun0er0+f88VCSGEEELkHZO+5kYIIYQQ4p+kuBFCCCGEWZHiRgghhBBmRYobIYQQQpgVKW6EEEIIYVakuBFCCCGEWZHiRgghhBBmRYobIYQQQpgVKW6EEGZn586d6HQ64uLiVEcRQiggMxQLIUxe8+bNqVmzJvPmzQMgJSWFe/fu4enpiU6nUxtOCJHvbFQHEEIIQ7Ozs8PLy0t1DCGEIjIsJYQwaf3792fXrl3Mnz8fnU6HTqdj+fLlMiwlhAWT4kYIYdLmz59Pw4YNef/997l58yY3b97E29tbdSwhhEJS3AghTJqrqyt2dnY4OTnh5eWFl5cX1tbWqmMJIRSS4kYIIYQQZkWKGyGEEEKYFSluhBAmz87OjvT0dNUxhBBGQm4FF0KYPB8fHw4cOMDly5cpWLAgGRkZqiMJIRSSMzdCCJM3cuRIrK2tqVq1KkWKFCE6Olp1JCGEQjJDsRBCCCHMipy5EUIIIYRZkeJGCCGEEGZFihshhBBCmBUpboQQQghhVqS4EUIIIYRZkeJGCCGEEGZFihshhBBCmBUpboQQQghhVqS4+b9260AGAAAAYJC/9T2+oggAWJEbAGBFbgCAlQBuHoPqLkE94QAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -187,7 +187,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -201,15 +201,10 @@
     "from skfuzzy import control as ctrl\n",
     "import skfuzzy as fuzz\n",
     "\n",
-    "# temp = ctrl.Antecedent(np.arange(20, 70, 1), \"temp\")\n",
-    "# al = ctrl.Antecedent(np.arange(0, 0.3, 0.001), \"al\")\n",
-    "# ti = ctrl.Antecedent(np.arange(0, 0.3, 0.001), \"ti\")\n",
-    "# density = ctrl.Consequent(np.arange(1, 1.3, 0.00001), \"density\")\n",
-    "\n",
     "temp = ctrl.Antecedent(density_train[\"T\"].sort_values().unique(), \"temp\")\n",
-    "al = ctrl.Antecedent(density_train[\"Al2O3\"].sort_values().unique(), \"al\")\n",
-    "ti = ctrl.Antecedent(density_train[\"TiO2\"].sort_values().unique(), \"ti\")\n",
-    "density = ctrl.Consequent(np.arange(1.03, 1.22, 0.0001), \"density\")\n",
+    "al = ctrl.Antecedent(np.arange(0, 0.3, 0.005), \"al\")\n",
+    "ti = ctrl.Antecedent(np.arange(0, 0.3, 0.005), \"ti\")\n",
+    "density = ctrl.Consequent(np.arange(1.03, 1.22, 0.00001), \"density\")\n",
     "\n",
     "temp.automf(3, variable_type=\"quant\")\n",
     "temp.view()\n",
@@ -217,16 +212,13 @@
     "al.view()\n",
     "ti.automf(3, variable_type=\"quant\")\n",
     "ti.view()\n",
-    "density.automf(3, variable_type=\"quant\")\n",
-    "# density[\"low\"] = fuzz.trimf(density.universe, [1.03, 1.06, 1.09])\n",
-    "# density[\"average\"] = fuzz.trimf(density.universe, [1.06, 1.14, 1.18])\n",
-    "# density[\"high\"] = fuzz.trimf(density.universe, [1.09, 1.18, 1.22])\n",
+    "density.automf(5, variable_type=\"quant\")\n",
     "density.view()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 60,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -236,16 +228,16 @@
     ")\n",
     "rule12 = ctrl.Rule(\n",
     "    temp[\"average\"] & al[\"low\"] & ti[\"low\"],\n",
-    "    density[\"low\"],\n",
+    "    density[\"lower\"],\n",
     ")\n",
     "rule13 = ctrl.Rule(\n",
     "    temp[\"high\"] & al[\"low\"] & ti[\"low\"],\n",
-    "    density[\"low\"],\n",
+    "    density[\"lower\"],\n",
     ")\n",
     "\n",
     "rule21 = ctrl.Rule(\n",
     "    temp[\"low\"] & al[\"average\"] & ti[\"low\"],\n",
-    "    density[\"average\"],\n",
+    "    density[\"low\"],\n",
     ")\n",
     "rule22 = ctrl.Rule(\n",
     "    temp[\"average\"] & al[\"average\"] & ti[\"low\"],\n",
@@ -253,7 +245,7 @@
     ")\n",
     "rule23 = ctrl.Rule(\n",
     "    temp[\"high\"] & al[\"average\"] & ti[\"low\"],\n",
-    "    density[\"low\"],\n",
+    "    density[\"lower\"],\n",
     ")\n",
     "\n",
     "rule31 = ctrl.Rule(\n",
@@ -271,20 +263,20 @@
     "\n",
     "rule41 = ctrl.Rule(\n",
     "    temp[\"low\"] & al[\"low\"] & ti[\"average\"],\n",
-    "    density[\"average\"],\n",
+    "    density[\"low\"],\n",
     ")\n",
     "rule42 = ctrl.Rule(\n",
     "    temp[\"average\"] & al[\"low\"] & ti[\"average\"],\n",
-    "    density[\"average\"],\n",
+    "    density[\"low\"],\n",
     ")\n",
     "rule43 = ctrl.Rule(\n",
     "    temp[\"high\"] & al[\"low\"] & ti[\"average\"],\n",
-    "    density[\"low\"],\n",
+    "    density[\"lower\"],\n",
     ")\n",
     "\n",
     "rule51 = ctrl.Rule(\n",
     "    temp[\"low\"] & al[\"low\"] & ti[\"high\"],\n",
-    "    density[\"high\"],\n",
+    "    density[\"higher\"],\n",
     ")\n",
     "rule52 = ctrl.Rule(\n",
     "    temp[\"average\"] & al[\"low\"] & ti[\"high\"],\n",
@@ -292,13 +284,13 @@
     ")\n",
     "rule53 = ctrl.Rule(\n",
     "    temp[\"high\"] & al[\"low\"] & ti[\"high\"],\n",
-    "    density[\"average\"],\n",
+    "    density[\"high\"],\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [
     {
@@ -307,19 +299,19 @@
        "[IF (temp[low] AND al[low]) AND ti[low] THEN density[low]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax,\n",
-       " IF (temp[average] AND al[low]) AND ti[low] THEN density[low]\n",
+       " IF (temp[average] AND al[low]) AND ti[low] THEN density[lower]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax,\n",
-       " IF (temp[high] AND al[low]) AND ti[low] THEN density[low]\n",
+       " IF (temp[high] AND al[low]) AND ti[low] THEN density[lower]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax,\n",
-       " IF (temp[low] AND al[average]) AND ti[low] THEN density[average]\n",
+       " IF (temp[low] AND al[average]) AND ti[low] THEN density[low]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax,\n",
        " IF (temp[average] AND al[average]) AND ti[low] THEN density[low]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax,\n",
-       " IF (temp[high] AND al[average]) AND ti[low] THEN density[low]\n",
+       " IF (temp[high] AND al[average]) AND ti[low] THEN density[lower]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax,\n",
        " IF (temp[low] AND al[high]) AND ti[low] THEN density[high]\n",
@@ -331,27 +323,27 @@
        " IF (temp[high] AND al[high]) AND ti[low] THEN density[average]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax,\n",
-       " IF (temp[low] AND al[low]) AND ti[average] THEN density[average]\n",
+       " IF (temp[low] AND al[low]) AND ti[average] THEN density[low]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax,\n",
-       " IF (temp[average] AND al[low]) AND ti[average] THEN density[average]\n",
+       " IF (temp[average] AND al[low]) AND ti[average] THEN density[low]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax,\n",
-       " IF (temp[high] AND al[low]) AND ti[average] THEN density[low]\n",
+       " IF (temp[high] AND al[low]) AND ti[average] THEN density[lower]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax,\n",
-       " IF (temp[low] AND al[low]) AND ti[high] THEN density[high]\n",
+       " IF (temp[low] AND al[low]) AND ti[high] THEN density[higher]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax,\n",
        " IF (temp[average] AND al[low]) AND ti[high] THEN density[high]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax,\n",
-       " IF (temp[high] AND al[low]) AND ti[high] THEN density[average]\n",
+       " IF (temp[high] AND al[low]) AND ti[high] THEN density[high]\n",
        " \tAND aggregation function : fmin\n",
        " \tOR aggregation function  : fmax]"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 61,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -384,7 +376,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 62,
    "metadata": {},
    "outputs": [
     {
@@ -398,7 +390,7 @@
       "  - low                             : 1.0\n",
       "  - average                         : 0.0\n",
       "  - high                            : 0.0\n",
-      "Antecedent: al                      = 0.3\n",
+      "Antecedent: al                      = 0.295\n",
       "  - low                             : 0.0\n",
       "  - average                         : 0.0\n",
       "  - high                            : 1.0\n",
@@ -424,7 +416,7 @@
       "                                              density[low] : 0.0\n",
       "\n",
       "RULE #1:\n",
-      "  IF (temp[average] AND al[low]) AND ti[low] THEN density[low]\n",
+      "  IF (temp[average] AND al[low]) AND ti[low] THEN density[lower]\n",
       "\tAND aggregation function : fmin\n",
       "\tOR aggregation function  : fmax\n",
       "\n",
@@ -434,10 +426,10 @@
       "  - ti[low]                                                : 1.0\n",
       "                   (temp[average] AND al[low]) AND ti[low] = 0.0\n",
       "  Activation (THEN-clause):\n",
-      "                                              density[low] : 0.0\n",
+      "                                            density[lower] : 0.0\n",
       "\n",
       "RULE #2:\n",
-      "  IF (temp[high] AND al[low]) AND ti[low] THEN density[low]\n",
+      "  IF (temp[high] AND al[low]) AND ti[low] THEN density[lower]\n",
       "\tAND aggregation function : fmin\n",
       "\tOR aggregation function  : fmax\n",
       "\n",
@@ -447,10 +439,10 @@
       "  - ti[low]                                                : 1.0\n",
       "                      (temp[high] AND al[low]) AND ti[low] = 0.0\n",
       "  Activation (THEN-clause):\n",
-      "                                              density[low] : 0.0\n",
+      "                                            density[lower] : 0.0\n",
       "\n",
       "RULE #3:\n",
-      "  IF (temp[low] AND al[average]) AND ti[low] THEN density[average]\n",
+      "  IF (temp[low] AND al[average]) AND ti[low] THEN density[low]\n",
       "\tAND aggregation function : fmin\n",
       "\tOR aggregation function  : fmax\n",
       "\n",
@@ -460,7 +452,7 @@
       "  - ti[low]                                                : 1.0\n",
       "                   (temp[low] AND al[average]) AND ti[low] = 0.0\n",
       "  Activation (THEN-clause):\n",
-      "                                          density[average] : 0.0\n",
+      "                                              density[low] : 0.0\n",
       "\n",
       "RULE #4:\n",
       "  IF (temp[average] AND al[average]) AND ti[low] THEN density[low]\n",
@@ -476,7 +468,7 @@
       "                                              density[low] : 0.0\n",
       "\n",
       "RULE #5:\n",
-      "  IF (temp[high] AND al[average]) AND ti[low] THEN density[low]\n",
+      "  IF (temp[high] AND al[average]) AND ti[low] THEN density[lower]\n",
       "\tAND aggregation function : fmin\n",
       "\tOR aggregation function  : fmax\n",
       "\n",
@@ -486,7 +478,7 @@
       "  - ti[low]                                                : 1.0\n",
       "                  (temp[high] AND al[average]) AND ti[low] = 0.0\n",
       "  Activation (THEN-clause):\n",
-      "                                              density[low] : 0.0\n",
+      "                                            density[lower] : 0.0\n",
       "\n",
       "RULE #6:\n",
       "  IF (temp[low] AND al[high]) AND ti[low] THEN density[high]\n",
@@ -528,7 +520,7 @@
       "                                          density[average] : 0.0\n",
       "\n",
       "RULE #9:\n",
-      "  IF (temp[low] AND al[low]) AND ti[average] THEN density[average]\n",
+      "  IF (temp[low] AND al[low]) AND ti[average] THEN density[low]\n",
       "\tAND aggregation function : fmin\n",
       "\tOR aggregation function  : fmax\n",
       "\n",
@@ -538,10 +530,10 @@
       "  - ti[average]                                            : 0.0\n",
       "                   (temp[low] AND al[low]) AND ti[average] = 0.0\n",
       "  Activation (THEN-clause):\n",
-      "                                          density[average] : 0.0\n",
+      "                                              density[low] : 0.0\n",
       "\n",
       "RULE #10:\n",
-      "  IF (temp[average] AND al[low]) AND ti[average] THEN density[average]\n",
+      "  IF (temp[average] AND al[low]) AND ti[average] THEN density[low]\n",
       "\tAND aggregation function : fmin\n",
       "\tOR aggregation function  : fmax\n",
       "\n",
@@ -551,10 +543,10 @@
       "  - ti[average]                                            : 0.0\n",
       "               (temp[average] AND al[low]) AND ti[average] = 0.0\n",
       "  Activation (THEN-clause):\n",
-      "                                          density[average] : 0.0\n",
+      "                                              density[low] : 0.0\n",
       "\n",
       "RULE #11:\n",
-      "  IF (temp[high] AND al[low]) AND ti[average] THEN density[low]\n",
+      "  IF (temp[high] AND al[low]) AND ti[average] THEN density[lower]\n",
       "\tAND aggregation function : fmin\n",
       "\tOR aggregation function  : fmax\n",
       "\n",
@@ -564,10 +556,10 @@
       "  - ti[average]                                            : 0.0\n",
       "                  (temp[high] AND al[low]) AND ti[average] = 0.0\n",
       "  Activation (THEN-clause):\n",
-      "                                              density[low] : 0.0\n",
+      "                                            density[lower] : 0.0\n",
       "\n",
       "RULE #12:\n",
-      "  IF (temp[low] AND al[low]) AND ti[high] THEN density[high]\n",
+      "  IF (temp[low] AND al[low]) AND ti[high] THEN density[higher]\n",
       "\tAND aggregation function : fmin\n",
       "\tOR aggregation function  : fmax\n",
       "\n",
@@ -577,7 +569,7 @@
       "  - ti[high]                                               : 0.0\n",
       "                      (temp[low] AND al[low]) AND ti[high] = 0.0\n",
       "  Activation (THEN-clause):\n",
-      "                                             density[high] : 0.0\n",
+      "                                           density[higher] : 0.0\n",
       "\n",
       "RULE #13:\n",
       "  IF (temp[average] AND al[low]) AND ti[high] THEN density[high]\n",
@@ -593,7 +585,7 @@
       "                                             density[high] : 0.0\n",
       "\n",
       "RULE #14:\n",
-      "  IF (temp[high] AND al[low]) AND ti[high] THEN density[average]\n",
+      "  IF (temp[high] AND al[low]) AND ti[high] THEN density[high]\n",
       "\tAND aggregation function : fmin\n",
       "\tOR aggregation function  : fmax\n",
       "\n",
@@ -603,26 +595,30 @@
       "  - ti[high]                                               : 0.0\n",
       "                     (temp[high] AND al[low]) AND ti[high] = 0.0\n",
       "  Activation (THEN-clause):\n",
-      "                                          density[average] : 0.0\n",
+      "                                             density[high] : 0.0\n",
       "\n",
       "\n",
       "==============================\n",
       " Intermediaries and Conquests \n",
       "==============================\n",
-      "Consequent: density                  = 1.1882499824468897\n",
+      "Consequent: density                  = 1.1724924997377486\n",
+      "  lower:\n",
+      "    Accumulate using accumulation_max : 0.0\n",
       "  low:\n",
       "    Accumulate using accumulation_max : 0.0\n",
       "  average:\n",
       "    Accumulate using accumulation_max : 0.0\n",
       "  high:\n",
       "    Accumulate using accumulation_max : 1.0\n",
+      "  higher:\n",
+      "    Accumulate using accumulation_max : 0.0\n",
       "\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "np.float64(1.1882499824468897)"
+       "np.float64(1.1724924997377486)"
       ]
      },
      "metadata": {},
@@ -640,7 +636,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -654,24 +650,184 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [
     {
-     "ename": "KeyError",
-     "evalue": "'density'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[13], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m result_train \u001b[38;5;241m=\u001b[39m density_train\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m----> 3\u001b[0m result_train[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDensityPred\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43mresult_train\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfuzzy_pred\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m      5\u001b[0m result_train\u001b[38;5;241m.\u001b[39mhead(\u001b[38;5;241m15\u001b[39m)\n",
-      "File \u001b[1;32mc:\\Users\\user\\Projects\\python\\fuzzy\\.venv\\Lib\\site-packages\\pandas\\core\\frame.py:10374\u001b[0m, in \u001b[0;36mDataFrame.apply\u001b[1;34m(self, func, axis, raw, result_type, args, by_row, engine, engine_kwargs, **kwargs)\u001b[0m\n\u001b[0;32m  10360\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpandas\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapply\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m frame_apply\n\u001b[0;32m  10362\u001b[0m op \u001b[38;5;241m=\u001b[39m frame_apply(\n\u001b[0;32m  10363\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m  10364\u001b[0m     func\u001b[38;5;241m=\u001b[39mfunc,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m  10372\u001b[0m     kwargs\u001b[38;5;241m=\u001b[39mkwargs,\n\u001b[0;32m  10373\u001b[0m )\n\u001b[1;32m> 10374\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mop\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39m__finalize__(\u001b[38;5;28mself\u001b[39m, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mapply\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "File \u001b[1;32mc:\\Users\\user\\Projects\\python\\fuzzy\\.venv\\Lib\\site-packages\\pandas\\core\\apply.py:916\u001b[0m, in \u001b[0;36mFrameApply.apply\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    913\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mraw:\n\u001b[0;32m    914\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mapply_raw(engine\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine, engine_kwargs\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine_kwargs)\n\u001b[1;32m--> 916\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply_standard\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32mc:\\Users\\user\\Projects\\python\\fuzzy\\.venv\\Lib\\site-packages\\pandas\\core\\apply.py:1063\u001b[0m, in \u001b[0;36mFrameApply.apply_standard\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1061\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mapply_standard\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m   1062\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mengine \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpython\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m-> 1063\u001b[0m         results, res_index \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply_series_generator\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   1064\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m   1065\u001b[0m         results, res_index \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mapply_series_numba()\n",
-      "File \u001b[1;32mc:\\Users\\user\\Projects\\python\\fuzzy\\.venv\\Lib\\site-packages\\pandas\\core\\apply.py:1081\u001b[0m, in \u001b[0;36mFrameApply.apply_series_generator\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1078\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m option_context(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmode.chained_assignment\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m   1079\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m i, v \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(series_gen):\n\u001b[0;32m   1080\u001b[0m         \u001b[38;5;66;03m# ignore SettingWithCopy here in case the user mutates\u001b[39;00m\n\u001b[1;32m-> 1081\u001b[0m         results[i] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   1082\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(results[i], ABCSeries):\n\u001b[0;32m   1083\u001b[0m             \u001b[38;5;66;03m# If we have a view on v, we need to make a copy because\u001b[39;00m\n\u001b[0;32m   1084\u001b[0m             \u001b[38;5;66;03m#  series_generator will swap out the underlying data\u001b[39;00m\n\u001b[0;32m   1085\u001b[0m             results[i] \u001b[38;5;241m=\u001b[39m results[i]\u001b[38;5;241m.\u001b[39mcopy(deep\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n",
-      "Cell \u001b[1;32mIn[12], line 6\u001b[0m, in \u001b[0;36mfuzzy_pred\u001b[1;34m(row)\u001b[0m\n\u001b[0;32m      4\u001b[0m sim\u001b[38;5;241m.\u001b[39minput[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mti\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m row[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTiO2\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m      5\u001b[0m sim\u001b[38;5;241m.\u001b[39mcompute()\n\u001b[1;32m----> 6\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msim\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moutput\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mdensity\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\n",
-      "\u001b[1;31mKeyError\u001b[0m: 'density'"
-     ]
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>T</th>\n",
+       "      <th>Al2O3</th>\n",
+       "      <th>TiO2</th>\n",
+       "      <th>Density</th>\n",
+       "      <th>DensityPred</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>20</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.06250</td>\n",
+       "      <td>1.077498</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>25</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.05979</td>\n",
+       "      <td>1.076593</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>35</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.05404</td>\n",
+       "      <td>1.069156</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>40</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.05103</td>\n",
+       "      <td>1.061106</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>45</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.04794</td>\n",
+       "      <td>1.045833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>50</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.04477</td>\n",
+       "      <td>1.046360</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>60</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.03826</td>\n",
+       "      <td>1.047642</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>65</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.03484</td>\n",
+       "      <td>1.046360</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>70</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.03182</td>\n",
+       "      <td>1.045833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>20</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.08755</td>\n",
+       "      <td>1.077498</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>45</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.07105</td>\n",
+       "      <td>1.067145</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>50</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.06760</td>\n",
+       "      <td>1.067145</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>55</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.06409</td>\n",
+       "      <td>1.067988</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>65</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.05691</td>\n",
+       "      <td>1.062538</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>70</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.05291</td>\n",
+       "      <td>1.047191</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     T  Al2O3  TiO2  Density  DensityPred\n",
+       "0   20   0.00   0.0  1.06250     1.077498\n",
+       "1   25   0.00   0.0  1.05979     1.076593\n",
+       "2   35   0.00   0.0  1.05404     1.069156\n",
+       "3   40   0.00   0.0  1.05103     1.061106\n",
+       "4   45   0.00   0.0  1.04794     1.045833\n",
+       "5   50   0.00   0.0  1.04477     1.046360\n",
+       "6   60   0.00   0.0  1.03826     1.047642\n",
+       "7   65   0.00   0.0  1.03484     1.046360\n",
+       "8   70   0.00   0.0  1.03182     1.045833\n",
+       "9   20   0.05   0.0  1.08755     1.077498\n",
+       "10  45   0.05   0.0  1.07105     1.067145\n",
+       "11  50   0.05   0.0  1.06760     1.067145\n",
+       "12  55   0.05   0.0  1.06409     1.067988\n",
+       "13  65   0.05   0.0  1.05691     1.062538\n",
+       "14  70   0.05   0.0  1.05291     1.047191"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -684,7 +840,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [
     {
@@ -722,7 +878,7 @@
        "      <td>0.00</td>\n",
        "      <td>0.00</td>\n",
        "      <td>1.05696</td>\n",
-       "      <td>1.060000</td>\n",
+       "      <td>1.073918</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -730,7 +886,7 @@
        "      <td>0.00</td>\n",
        "      <td>0.00</td>\n",
        "      <td>1.04158</td>\n",
-       "      <td>1.060000</td>\n",
+       "      <td>1.047642</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -738,7 +894,7 @@
        "      <td>0.05</td>\n",
        "      <td>0.00</td>\n",
        "      <td>1.08438</td>\n",
-       "      <td>1.096363</td>\n",
+       "      <td>1.076518</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
@@ -746,7 +902,7 @@
        "      <td>0.05</td>\n",
        "      <td>0.00</td>\n",
        "      <td>1.08112</td>\n",
-       "      <td>1.097343</td>\n",
+       "      <td>1.073918</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
@@ -754,7 +910,7 @@
        "      <td>0.05</td>\n",
        "      <td>0.00</td>\n",
        "      <td>1.07781</td>\n",
-       "      <td>1.097343</td>\n",
+       "      <td>1.069156</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
@@ -762,7 +918,7 @@
        "      <td>0.05</td>\n",
        "      <td>0.00</td>\n",
        "      <td>1.07446</td>\n",
-       "      <td>1.088627</td>\n",
+       "      <td>1.067145</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
@@ -770,7 +926,7 @@
        "      <td>0.05</td>\n",
        "      <td>0.00</td>\n",
        "      <td>1.06053</td>\n",
-       "      <td>1.060000</td>\n",
+       "      <td>1.067988</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
@@ -778,7 +934,7 @@
        "      <td>0.30</td>\n",
        "      <td>0.00</td>\n",
        "      <td>1.17459</td>\n",
-       "      <td>1.159583</td>\n",
+       "      <td>1.172492</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
@@ -786,7 +942,7 @@
        "      <td>0.30</td>\n",
        "      <td>0.00</td>\n",
        "      <td>1.14812</td>\n",
-       "      <td>1.126222</td>\n",
+       "      <td>1.124995</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
@@ -794,7 +950,7 @@
        "      <td>0.00</td>\n",
        "      <td>0.05</td>\n",
        "      <td>1.07424</td>\n",
-       "      <td>1.096363</td>\n",
+       "      <td>1.067145</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
@@ -802,7 +958,7 @@
        "      <td>0.00</td>\n",
        "      <td>0.05</td>\n",
        "      <td>1.07075</td>\n",
-       "      <td>1.096363</td>\n",
+       "      <td>1.067145</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
@@ -810,7 +966,7 @@
        "      <td>0.00</td>\n",
        "      <td>0.05</td>\n",
        "      <td>1.06721</td>\n",
-       "      <td>1.097343</td>\n",
+       "      <td>1.067988</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
@@ -818,7 +974,7 @@
        "      <td>0.00</td>\n",
        "      <td>0.30</td>\n",
        "      <td>1.22417</td>\n",
-       "      <td>1.163333</td>\n",
+       "      <td>1.204157</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
@@ -826,7 +982,7 @@
        "      <td>0.00</td>\n",
        "      <td>0.30</td>\n",
        "      <td>1.21310</td>\n",
-       "      <td>1.161428</td>\n",
+       "      <td>1.180834</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
@@ -834,7 +990,7 @@
        "      <td>0.00</td>\n",
        "      <td>0.30</td>\n",
        "      <td>1.20265</td>\n",
-       "      <td>1.162778</td>\n",
+       "      <td>1.173397</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
@@ -842,7 +998,7 @@
        "      <td>0.00</td>\n",
        "      <td>0.30</td>\n",
        "      <td>1.18265</td>\n",
-       "      <td>1.141253</td>\n",
+       "      <td>1.172492</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
@@ -850,7 +1006,7 @@
        "      <td>0.00</td>\n",
        "      <td>0.30</td>\n",
        "      <td>1.17261</td>\n",
-       "      <td>1.126667</td>\n",
+       "      <td>1.172492</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -858,26 +1014,26 @@
       ],
       "text/plain": [
        "     T  Al2O3  TiO2  Density  DensityPred\n",
-       "0   30   0.00  0.00  1.05696     1.060000\n",
-       "1   55   0.00  0.00  1.04158     1.060000\n",
-       "2   25   0.05  0.00  1.08438     1.096363\n",
-       "3   30   0.05  0.00  1.08112     1.097343\n",
-       "4   35   0.05  0.00  1.07781     1.097343\n",
-       "5   40   0.05  0.00  1.07446     1.088627\n",
-       "6   60   0.05  0.00  1.06053     1.060000\n",
-       "7   35   0.30  0.00  1.17459     1.159583\n",
-       "8   65   0.30  0.00  1.14812     1.126222\n",
-       "9   45   0.00  0.05  1.07424     1.096363\n",
-       "10  50   0.00  0.05  1.07075     1.096363\n",
-       "11  55   0.00  0.05  1.06721     1.097343\n",
-       "12  20   0.00  0.30  1.22417     1.163333\n",
-       "13  30   0.00  0.30  1.21310     1.161428\n",
-       "14  40   0.00  0.30  1.20265     1.162778\n",
-       "15  60   0.00  0.30  1.18265     1.141253\n",
-       "16  70   0.00  0.30  1.17261     1.126667"
+       "0   30   0.00  0.00  1.05696     1.073918\n",
+       "1   55   0.00  0.00  1.04158     1.047642\n",
+       "2   25   0.05  0.00  1.08438     1.076518\n",
+       "3   30   0.05  0.00  1.08112     1.073918\n",
+       "4   35   0.05  0.00  1.07781     1.069156\n",
+       "5   40   0.05  0.00  1.07446     1.067145\n",
+       "6   60   0.05  0.00  1.06053     1.067988\n",
+       "7   35   0.30  0.00  1.17459     1.172492\n",
+       "8   65   0.30  0.00  1.14812     1.124995\n",
+       "9   45   0.00  0.05  1.07424     1.067145\n",
+       "10  50   0.00  0.05  1.07075     1.067145\n",
+       "11  55   0.00  0.05  1.06721     1.067988\n",
+       "12  20   0.00  0.30  1.22417     1.204157\n",
+       "13  30   0.00  0.30  1.21310     1.180834\n",
+       "14  40   0.00  0.30  1.20265     1.173397\n",
+       "15  60   0.00  0.30  1.18265     1.172492\n",
+       "16  70   0.00  0.30  1.17261     1.172492"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -892,19 +1048,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'RMSE_train': 0.024131296333542294,\n",
-       " 'RMSE_test': 0.03056470202709202,\n",
-       " 'RMAE_test': 0.16058558998263095,\n",
-       " 'R2_test': 0.7532040538162098}"
+       "{'RMSE_train': 0.0156766544822719,\n",
+       " 'RMSE_test': 0.014603864614526584,\n",
+       " 'RMAE_test': 0.1057231829134674,\n",
+       " 'R2_test': 0.9436578668511394}"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }