From 602d36681d3cb0955f4ed939f79cb459c55d0bc5 Mon Sep 17 00:00:00 2001 From: Aleksey Filippov Date: Wed, 26 Feb 2025 14:11:46 +0400 Subject: [PATCH] Sync rules alg with paper (remove clusters based groups) --- density_tree.ipynb | 1049 +++++++++++++++++++++--------------------- src/rules.py | 63 ++- viscosity_tree.ipynb | 1012 +++++++++++++++------------------------- 3 files changed, 954 insertions(+), 1170 deletions(-) diff --git a/density_tree.ipynb b/density_tree.ipynb index 78f19e1..555ac6d 100644 --- a/density_tree.ipynb +++ b/density_tree.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -131,7 +131,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -148,41 +148,41 @@ "text/plain": [ "[if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (T > 55.0) and (T > 62.5) -> 1.033,\n", " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (T > 55.0) and (T <= 62.5) -> 1.038,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (T <= 55.0) and (T > 47.5) -> 1.045,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (T <= 55.0) and (T <= 47.5) -> 1.051,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (T > 60.0) and (T > 67.5) -> 1.053,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 > 0.025) and (T > 50.0) and (T > 67.5) -> 1.056,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (T > 60.0) and (T <= 67.5) -> 1.057,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (T > 22.5) -> 1.06,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 > 0.025) and (T > 50.0) and (T <= 67.5) and (T > 62.5) -> 1.06,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (T <= 22.5) -> 1.062,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 > 0.025) and (T > 50.0) and (T <= 67.5) and (T <= 62.5) -> 1.064,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (T <= 60.0) and (T > 52.5) -> 1.064,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (T <= 60.0) and (T <= 52.5) -> 1.069,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 > 0.025) and (T <= 50.0) and (T > 37.5) -> 1.078,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 > 0.025) and (T <= 50.0) and (T <= 37.5) -> 1.081,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (TiO2 > 0.025) and (T > 27.5) -> 1.084,\n", " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 1.088,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (TiO2 > 0.025) and (T <= 27.5) and (T > 22.5) -> 1.088,\n", " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (TiO2 > 0.025) and (T <= 27.5) and (T <= 22.5) -> 1.091,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T > 52.5) and (T > 65.0) -> 1.144,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T > 52.5) and (T <= 65.0) and (T > 57.5) -> 1.152,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T > 52.5) and (T <= 65.0) and (T <= 57.5) -> 1.157,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) and (T > 42.5) and (T > 47.5) -> 1.161,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) and (T > 42.5) and (T <= 47.5) -> 1.166,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) and (T <= 42.5) -> 1.17,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T > 60.0) -> 1.178,\n", - " if (Al2O3 > 0.175) and (T <= 35.0) and (T > 22.5) and (T > 27.5) -> 1.179,\n", - " if (Al2O3 > 0.175) and (T <= 35.0) and (T > 22.5) and (T <= 27.5) -> 1.184,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) and (T > 52.5) -> 1.187,\n", - " if (Al2O3 > 0.175) and (T <= 35.0) and (T <= 22.5) -> 1.189,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) and (T <= 52.5) and (T > 47.5) -> 1.193,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) and (T <= 52.5) and (T <= 47.5) -> 1.198,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (TiO2 > 0.025) and (T <= 27.5) and (T > 22.5) -> 1.088,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (TiO2 > 0.025) and (T > 27.5) -> 1.084,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (T <= 55.0) and (T <= 47.5) -> 1.051,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (T <= 55.0) and (T > 47.5) -> 1.045,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (T > 22.5) -> 1.06,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (T <= 22.5) -> 1.062,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (T <= 60.0) and (T <= 52.5) -> 1.069,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (T <= 60.0) and (T > 52.5) -> 1.064,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (T > 60.0) and (T <= 67.5) -> 1.057,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (T > 60.0) and (T > 67.5) -> 1.053,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 > 0.025) and (T <= 50.0) and (T <= 37.5) -> 1.081,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 > 0.025) and (T <= 50.0) and (T > 37.5) -> 1.078,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 > 0.025) and (T > 50.0) and (T <= 67.5) and (T <= 62.5) -> 1.064,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 > 0.025) and (T > 50.0) and (T <= 67.5) and (T > 62.5) -> 1.06,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (TiO2 > 0.025) and (T > 50.0) and (T > 67.5) -> 1.056,\n", + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) and (T <= 30.0) -> 1.219,\n", " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) and (T > 30.0) -> 1.208,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) and (T <= 30.0) -> 1.219]" + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) and (T <= 52.5) and (T <= 47.5) -> 1.198,\n", + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) and (T <= 52.5) and (T > 47.5) -> 1.193,\n", + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) and (T > 52.5) -> 1.187,\n", + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T > 60.0) -> 1.178,\n", + " if (Al2O3 > 0.175) and (T <= 35.0) and (T <= 22.5) -> 1.189,\n", + " if (Al2O3 > 0.175) and (T <= 35.0) and (T > 22.5) and (T <= 27.5) -> 1.184,\n", + " if (Al2O3 > 0.175) and (T <= 35.0) and (T > 22.5) and (T > 27.5) -> 1.179,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) and (T <= 42.5) -> 1.17,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) and (T > 42.5) and (T <= 47.5) -> 1.166,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) and (T > 42.5) and (T > 47.5) -> 1.161,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T > 52.5) and (T <= 65.0) and (T <= 57.5) -> 1.157,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T > 52.5) and (T <= 65.0) and (T > 57.5) -> 1.152,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T > 52.5) and (T > 65.0) -> 1.144]" ] }, - "execution_count": 2, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -198,7 +198,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -215,41 +215,41 @@ "text/plain": [ "[if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) -> 1.033,\n", " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 62.5) -> 1.038,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 55.0) -> 1.045,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 55.0) -> 1.051,\n", - " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) -> 1.053,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) -> 1.056,\n", - " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 67.5) -> 1.057,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (T > 22.5) -> 1.06,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 67.5) -> 1.06,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) -> 1.062,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 67.5) -> 1.064,\n", - " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 60.0) -> 1.064,\n", - " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 60.0) -> 1.069,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 50.0) -> 1.078,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 50.0) -> 1.081,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 27.5) -> 1.084,\n", " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T <= 32.5) -> 1.088,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 22.5) -> 1.088,\n", " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) -> 1.091,\n", - " if (Al2O3 > 0.175) and (T > 35.0) -> 1.144,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 65.0) -> 1.152,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 65.0) -> 1.157,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) -> 1.161,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) -> 1.166,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) -> 1.17,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) -> 1.178,\n", - " if (Al2O3 > 0.175) and (T <= 35.0) and (T > 22.5) -> 1.179,\n", - " if (Al2O3 > 0.175) and (T <= 35.0) and (T > 22.5) -> 1.184,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) -> 1.187,\n", - " if (Al2O3 > 0.175) and (T <= 35.0) -> 1.189,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) -> 1.193,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) -> 1.198,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 22.5) -> 1.088,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 27.5) -> 1.084,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 55.0) -> 1.051,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 55.0) -> 1.045,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (T > 22.5) -> 1.06,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) -> 1.062,\n", + " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 60.0) -> 1.069,\n", + " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 60.0) -> 1.064,\n", + " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 67.5) -> 1.057,\n", + " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) -> 1.053,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 50.0) -> 1.081,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 50.0) -> 1.078,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 67.5) -> 1.064,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 67.5) -> 1.06,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) -> 1.056,\n", + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) -> 1.219,\n", " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) and (T > 30.0) -> 1.208,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) -> 1.219]" + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) -> 1.198,\n", + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) -> 1.193,\n", + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) -> 1.187,\n", + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) -> 1.178,\n", + " if (Al2O3 > 0.175) and (T <= 35.0) -> 1.189,\n", + " if (Al2O3 > 0.175) and (T <= 35.0) and (T > 22.5) -> 1.184,\n", + " if (Al2O3 > 0.175) and (T <= 35.0) and (T > 22.5) -> 1.179,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) -> 1.17,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) -> 1.166,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) -> 1.161,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 65.0) -> 1.157,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 65.0) -> 1.152,\n", + " if (Al2O3 > 0.175) and (T > 35.0) -> 1.144]" ] }, - "execution_count": 3, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -265,7 +265,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -282,31 +282,31 @@ "text/plain": [ "[if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) -> 1.033,\n", " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 62.5) -> 1.038,\n", + " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T <= 32.5) -> 1.088,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) -> 1.091,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 22.5) -> 1.088,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 27.5) -> 1.084,\n", " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 55.0) -> 1.048,\n", - " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) -> 1.053,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) -> 1.056,\n", - " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 67.5) -> 1.057,\n", " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (T > 22.5) -> 1.06,\n", " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) -> 1.062,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 67.5) -> 1.062,\n", " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 60.0) -> 1.067,\n", + " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 67.5) -> 1.057,\n", + " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) -> 1.053,\n", " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 50.0) -> 1.079,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 27.5) -> 1.084,\n", - " if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T <= 32.5) -> 1.088,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 22.5) -> 1.088,\n", - " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) -> 1.091,\n", - " if (Al2O3 > 0.175) and (T > 35.0) -> 1.144,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 65.0) -> 1.155,\n", - " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) -> 1.166,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) -> 1.178,\n", - " if (Al2O3 > 0.175) and (T <= 35.0) and (T > 22.5) -> 1.182,\n", - " if (Al2O3 > 0.175) and (T <= 35.0) -> 1.189,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) -> 1.193,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 67.5) -> 1.062,\n", + " if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) -> 1.056,\n", + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) -> 1.219,\n", " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) and (T > 30.0) -> 1.208,\n", - " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) -> 1.219]" + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) -> 1.193,\n", + " if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) -> 1.178,\n", + " if (Al2O3 > 0.175) and (T <= 35.0) -> 1.189,\n", + " if (Al2O3 > 0.175) and (T <= 35.0) and (T > 22.5) -> 1.182,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) -> 1.166,\n", + " if (Al2O3 > 0.175) and (T > 35.0) and (T <= 65.0) -> 1.155,\n", + " if (Al2O3 > 0.175) and (T > 35.0) -> 1.144]" ] }, - "execution_count": 4, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -317,312 +317,13 @@ "\n", "rules = delete_same_rules(rules)\n", "display(len(rules))\n", + "for_cluster = rules.copy()\n", "rules" ] }, { "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['(Al2O3 <= 0.175)', '(Al2O3 > 0.025)', '(Al2O3 > 0.175)', '(TiO2 <= 0.175)', '(TiO2 > 0.025)', '(TiO2 > 0.175)']\n" - ] - }, - { - "data": { - "text/html": [ - "
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(Al2O3 <= 0.175)(Al2O3 > 0.025)(Al2O3 > 0.175)(TiO2 <= 0.175)(TiO2 > 0.025)(TiO2 > 0.175)consequent
rule
if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) -> 1.0331001001.0333299999999999
if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 62.5) -> 1.0381001001.03826
if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 55.0) -> 1.0481001001.0478999999999998
if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) -> 1.0531101001.05291
if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) -> 1.0561001101.05601
\n", - "
" - ], - "text/plain": [ - " (Al2O3 <= 0.175) \\\n", - "rule \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1 \n", - "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 1 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 1 \n", - "\n", - " (Al2O3 > 0.025) \\\n", - "rule \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", - "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 1 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 0 \n", - "\n", - " (Al2O3 > 0.175) \\\n", - "rule \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", - "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 0 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 0 \n", - "\n", - " (TiO2 <= 0.175) \\\n", - "rule \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1 \n", - "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 1 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 1 \n", - "\n", - " (TiO2 > 0.025) \\\n", - "rule \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", - "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 0 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 1 \n", - "\n", - " (TiO2 > 0.175) \\\n", - "rule \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", - "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 0 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 0 \n", - "\n", - " consequent \n", - "rule \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1.0333299999999999 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1.03826 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1.0478999999999998 \n", - "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 1.05291 \n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 1.05601 " - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from src.rules import get_features, vectorize_rules\n", - "\n", - "features = get_features(rules, [\"T\"])\n", - "print(features)\n", - "\n", - "df_rules = vectorize_rules(rules, features)\n", - "df_rules.head(5)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\user\\Projects\\python\\fuzzy\\.venv\\Lib\\site-packages\\sklearn\\base.py:1473: ConvergenceWarning: Number of distinct clusters (5) found smaller than n_clusters (6). Possibly due to duplicate points in X.\n", - " return fit_method(estimator, *args, **kwargs)\n" - ] - }, - { - "data": { - "text/plain": [ - "{2: 0.5483575964237912,\n", - " 3: 0.602943554055511,\n", - " 4: 0.8221763769597347,\n", - " 5: 1.0,\n", - " 6: 1.0}" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "'The best clusters count is 5'" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from src.cluster_helper import draw_best_clusters_plot, get_best_clusters_num\n", - "\n", - "random_state = 9\n", - "\n", - "X = df_rules.copy()\n", - "X = X.drop([\"consequent\"], axis=1)\n", - "\n", - "clusters_score = get_best_clusters_num(X, random_state)\n", - "display(clusters_score)\n", - "\n", - "draw_best_clusters_plot(clusters_score)\n", - "\n", - "clusters_num = sorted(clusters_score.items(), key=lambda x: x[1], reverse=True)[0][0]\n", - "display(f\"The best clusters count is {clusters_num}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Кластер 1 (5):\n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) -> 1.033;\n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 62.5) -> 1.038;\n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 55.0) -> 1.048;\n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (T > 22.5) -> 1.06;\n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) -> 1.062\n", - "--------\n", - "Кластер 2 (5):\n", - "if (Al2O3 > 0.175) and (T > 35.0) -> 1.144;\n", - "if (Al2O3 > 0.175) and (T > 35.0) and (T <= 65.0) -> 1.155;\n", - "if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) -> 1.166;\n", - "if (Al2O3 > 0.175) and (T <= 35.0) and (T > 22.5) -> 1.182;\n", - "if (Al2O3 > 0.175) and (T <= 35.0) -> 1.189\n", - "--------\n", - "Кластер 3 (6):\n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) -> 1.056;\n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 67.5) -> 1.062;\n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 50.0) -> 1.079;\n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 27.5) -> 1.084;\n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 22.5) -> 1.088;\n", - "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) -> 1.091\n", - "--------\n", - "Кластер 4 (4):\n", - "if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) -> 1.178;\n", - "if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) -> 1.193;\n", - "if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) and (T > 30.0) -> 1.208;\n", - "if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) -> 1.219\n", - "--------\n", - "Кластер 5 (4):\n", - "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) -> 1.053;\n", - "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 67.5) -> 1.057;\n", - "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 60.0) -> 1.067;\n", - "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T <= 32.5) -> 1.088\n", - "--------\n" - ] - } - ], - "source": [ - "from sklearn import cluster\n", - "\n", - "from src.cluster_helper import print_cluster_result\n", - "\n", - "kmeans = cluster.KMeans(n_clusters=clusters_num, random_state=random_state)\n", - "kmeans.fit(X)\n", - "\n", - "print_cluster_result(X, clusters_num, kmeans.labels_)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -762,66 +463,66 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[[if (Al2O3 = 0.0) and (TiO2 = 0.0) and (T = 70) -> 1.033,\n", - " if (Al2O3 = 0.0) and (TiO2 = 0.0) and (T = 47.5) -> 1.038,\n", - " if (Al2O3 = 0.0) and (TiO2 = 0.0) and (T = 43.75) -> 1.048,\n", - " if (Al2O3 = 0.0) and (TiO2 = 0.0) and (T = 27.5) -> 1.06,\n", - " if (Al2O3 = 0.0) and (TiO2 = 0.0) and (T = 20) -> 1.062],\n", - " [if (Al2O3 = 0.3) and (T = 70) -> 1.144,\n", - " if (Al2O3 = 0.3) and (T = 50.0) -> 1.155,\n", - " if (Al2O3 = 0.3) and (T = 43.75) -> 1.166,\n", - " if (Al2O3 = 0.3) and (T = 28.75) -> 1.182,\n", - " if (Al2O3 = 0.3) and (T = 20) -> 1.189],\n", - " [if (Al2O3 = 0.0) and (TiO2 = 0.1) and (T = 70) -> 1.056,\n", - " if (Al2O3 = 0.0) and (TiO2 = 0.1) and (T = 50.0) -> 1.062,\n", - " if (Al2O3 = 0.0) and (TiO2 = 0.1) and (T = 41.25) -> 1.079,\n", - " if (Al2O3 = 0.0) and (TiO2 = 0.1) and (T = 30.0) -> 1.084,\n", - " if (Al2O3 = 0.0) and (TiO2 = 0.1) and (T = 27.5) -> 1.088,\n", - " if (Al2O3 = 0.0) and (TiO2 = 0.1) and (T = 20) -> 1.091],\n", - " [if (Al2O3 = 0.0) and (TiO2 = 0.3) and (T = 70) -> 1.178,\n", - " if (Al2O3 = 0.0) and (TiO2 = 0.3) and (T = 50.0) -> 1.193,\n", - " if (Al2O3 = 0.0) and (TiO2 = 0.3) and (T = 35.0) -> 1.208,\n", - " if (Al2O3 = 0.0) and (TiO2 = 0.3) and (T = 20) -> 1.219],\n", - " [if (Al2O3 = 0.1) and (TiO2 = 0.0) and (T = 70) -> 1.053,\n", - " if (Al2O3 = 0.1) and (TiO2 = 0.0) and (T = 50.0) -> 1.057,\n", - " if (Al2O3 = 0.1) and (TiO2 = 0.0) and (T = 46.25) -> 1.067,\n", - " if (Al2O3 = 0.1) and (TiO2 = 0.0) and (T = 20) -> 1.088]]" + "[if (Al2O3 = 0.0) and (TiO2 = 0.0) and (T = 70) -> 1.033,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.0) and (T = 47.5) -> 1.038,\n", + " if (Al2O3 = 0.1) and (TiO2 = 0.0) and (T = 20) -> 1.088,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.1) and (T = 20) -> 1.091,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.1) and (T = 27.5) -> 1.088,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.1) and (T = 30.0) -> 1.084,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.0) and (T = 43.75) -> 1.048,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.0) and (T = 27.5) -> 1.06,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.0) and (T = 20) -> 1.062,\n", + " if (Al2O3 = 0.1) and (TiO2 = 0.0) and (T = 46.25) -> 1.067,\n", + " if (Al2O3 = 0.1) and (TiO2 = 0.0) and (T = 50.0) -> 1.057,\n", + " if (Al2O3 = 0.1) and (TiO2 = 0.0) and (T = 70) -> 1.053,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.1) and (T = 41.25) -> 1.079,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.1) and (T = 50.0) -> 1.062,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.1) and (T = 70) -> 1.056,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.3) and (T = 20) -> 1.219,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.3) and (T = 35.0) -> 1.208,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.3) and (T = 50.0) -> 1.193,\n", + " if (Al2O3 = 0.0) and (TiO2 = 0.3) and (T = 70) -> 1.178,\n", + " if (Al2O3 = 0.3) and (T = 20) -> 1.189,\n", + " if (Al2O3 = 0.3) and (T = 28.75) -> 1.182,\n", + " if (Al2O3 = 0.3) and (T = 43.75) -> 1.166,\n", + " if (Al2O3 = 0.3) and (T = 50.0) -> 1.155,\n", + " if (Al2O3 = 0.3) and (T = 70) -> 1.144]" ] }, - "execution_count": 9, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "from src.rules import simplify_and_group_rules\n", + "from src.rules import simplify_rules\n", "\n", - "clustered_rules = simplify_and_group_rules(density_train, rules, clusters_num, kmeans.labels_)\n", - "clustered_rules" + "rules = simplify_rules(density_train, rules)\n", + "rules" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "c:\\Users\\user\\Projects\\python\\fuzzy\\.venv\\Lib\\site-packages\\skfuzzy\\control\\fuzzyvariable.py:125: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", + "/Users/user/Projects/python/fuzzy-rules-generator/.venv/lib/python3.12/site-packages/skfuzzy/control/fuzzyvariable.py:125: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", " fig.show()\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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EV/ZBxCJ4YSKUqK46TcFqOwWKeGkXUeszVacRwuiOxB3hu9Pf8UHdD6jkXkl1nOeS4qYAFXK0Y15vf47E3OfrvZdUxxHCuFIfav+w+zSCJh+oTlPwHAtrrSWuHoSIharTCGFUyenJBIUH4V/cnwE1BqiO84+kuClgDX09eLtZeeZtOcf5uAeq4whhPNtC4EGc9g+8ja3qNGqUawpNhsCf0+HWGdVphDCaTw5/wu3k24Q2C8XWDI5vKW4UGNW+Kj7uzoxaFUl6ptxdISzAxR3axbTtpkKxiqrTqPVCELiX0y6qzkxXnUaIPNt/cz8rzq5geP3hlHMtpzpOtkhxo4CTvS3z+9Th1I1EFu+Uiw+FmUtJgLUfgG9z7aJaa2fvDD2WaLMz7/1EdRoh8uRB2gOCw4Np5N2IftX6qY6TbVLcKFLHpyiDW1bks+3nOXUjQXUcIXJv8wStwOm+CGzkIwWAMvWh2QhtIsObx1WnESLX5h6aS0JqAlMDp2KjM5/j23ySWqAP21SmUonCjFoZSWqG3F0hzNDZzXDsB+gwXRuKEf/VciwUrwZrBkFGquo0QuTYrqu7WHNhDWMajqF04dKq4+SIFDcKOdjZ8HGfOly8/ZDPtp9XHUeInEm+B+s/hErtoJ7p3z1R4OwctLl+7pzTzuAIYUbiU+KZHDGZZqWb8VLll1THyTEpbhSrUcqVYW0qs3jnRY7G3FcdR4js2/QRZKRAt89Bp1OdxjR514ZWY7Vrb679pTqNENk24+AMUjNTmdxkMjozPL6luDEBg1pWpHZpN0atiiQlXYanhBk4FQYnV0OneeBaUnUa0xY4AkrV1Yan0h+pTiPEP9pyeQu/R//O+Ebj8SrkpTpOrkhxYwLsbG2Y38efa/cfMfePs6rjCPF8D2/BxpFQrQvU7q06jemztdPm/omPge3TVKcR4rnuPrpL6P5Q2pRtQ5cKXVTHyTUpbkxEpRJFGNOhKt+ER3Pg0l3VcYR4OoMBNozQ/rvLAhmOyq7iVaFNMOz/Ai6Hq04jxFMZDAamRkwFYFLjSWY5HPUfUtyYkDcCy9OgnDujV0eSlJqhOo4QTzq+Es5sgC6fQOHiqtOYl8aDoWxjrUVF6kPVaYR4woZLG/jz6p8ENQ6imHMx1XHyRIobE2Jro2Neb3/uPEhjxqYo1XGEeFziDe0i4lq9oEZ31WnMj40t9PgCkm5r3cOFMCFxSXHMPDCTF8u/SHvf9qrj5JkUNyamXLFCTOhUjR8PxLD73G3VcYTQGAywbqg2+26nuarTmC+PClqLir++hgvbVacRAtCGo0IiQnC0c2RiwETVcYxCihsT1D+gHM0qeTL21+MkPJLeNMIEHPkWLmyDbp+Bi4fqNOatwVtQoZVWLD6KV51GCH49/yvh18OZ0nQKbo5uquMYhRQ3JsjGRsfsXn48TMlg2obTquMIa3f/CvwxEeq+ClU6qE5j/mxsoNtCSH0Am8erTiOs3PWH15l7aC49K/WkRZkWquMYjRQ3Jqp0UWcmda3B6sPX2Ho6TnUcYa30elg7BJzdocNM1WksR1Ef6DgTIn+CM5tUpxFWSm/QMyl8Eq6OrnzU8CPVcYxKihsT1rt+GdpUK8H4305wPylNdRxhjQ4tg8t7oPtCcHJVncay1OkPVTrC+mFaKwshCtjPZ37mUOwhpjadShGHIqrjGJUUNyZMp9Mx86XapGfqmbT2pOo4wtrcvQhbQ6Dh29o1IsK4dDro+ilkpsHGUarTCCtzOeEyCw4v4F9V/0WTUk1UxzE6KW5MXAlXJ6Z2r8mG4zfZePym6jjCWugztXYBRbyh7RTVaSxXEW/oPB9O/Qan1qhOI6xEpj6ToPAgirsUZ0T9Earj5AspbsxAN/9SvFjLm6CwE9x+kKo6jrAGEQvh2iGtbYBjYdVpLFutl6F6N9gwUmttIUQ+++70dxy/fZzQwFBc7F1Ux8kXUtyYAZ1OR2iPWtjodExYcwKDwaA6krBkt6Lgz1BoMgTKWd7papOj02kzPutsYP1wbU4hIfLJhfsX+Pzo5wyoMYB6XvVUx8k3youbRYsW4evri5OTEwEBARw8ePC5yy9YsICqVavi7OyMj48PI0aMICUlpYDSqlOssCPTe9Zm6+k41hy9rjqOsFSZ6dpwlHt5eGGS6jTWo5AndF0AZzfC8V9UpxEWKl2fzsTwifgU8WFovaGq4+QrpcXNL7/8wsiRIwkJCeHIkSP4+/vToUMHbt16+qnZn376iXHjxhESEkJUVBRff/01v/zyCxMmTCjg5Gp0rOVNz7qlCVl3ipsJj1THEZZoz8cQewJ6LgZ7J9VprEv1ruDXFzaNgQT5AiOM76sTX3H23lmmN5uOo62j6jj5Smlx8/HHH/POO+/wxhtvUKNGDZYsWYKLiwvffPPNU5fft28fgYGBvPLKK/j6+tK+fXv69ev3j2d7LMnkrjVxcbBl7K8yPCWM7GYk7J4DzUdC6fqq01inF2eDg4s2e7Ec38KIou5GsTRyKW/VfotanrVUx8l3yoqbtLQ0Dh8+TNu2bf8bxsaGtm3bEhER8dTXNG3alMOHD2cVM5cuXWLTpk106tTpmdtJTU0lMTHxsYc5c3OxZ9bLfuw+d5ufD15VHUdYioxUbTiqeHVoMUZ1Guvl7A7dPoeL2+HwctVphIVIy0xjwt4JVCxakUF+g1THKRDKips7d+6QmZmJl5fXY897eXkRGxv71Ne88sorTJ06lWbNmmFvb0/FihVp1arVc4elZs6ciZubW9bDx8fHqO9DhdZVS/Cvhj5M33iaq/eSVccRlmDnLLhzXhuOsnNQnca6VW4H9QbAliC4f1l1GmEBFkcu5nLiZaY3m469rb3qOAVC+QXFObFz505mzJjBF198wZEjR/jtt9/YuHEj06ZNe+Zrxo8fT0JCQtbj6lXLONsxsXN1iro4MHpVJHq9nL4WeXD1EIQvgFbjwLu26jQCoP10cPaAsCFaCwwhcinydiTfnPyGwf6DqepRVXWcAqOsuPH09MTW1pa4uMf7JsXFxeHt7f3U10yaNInXXnuNt99+m9q1a9OzZ09mzJjBzJkz0T/jA8DR0RFXV9fHHpagiJM9c3v7cSD6Ht9GXFYdR5irtGQIGwSl6kLgcNVpxH84uUKPRXBlLxxcqjqNMFOPMh4RtDeImsVq8matN1XHKVDKihsHBwfq16/P9u3bs57T6/Vs376dJk2ePrdGcnIyNjaPR7a1tQWwyotrm1b05PWmvszefIZLtx+qjiPM0Z/TIOEa9FgCtnaq04j/Vb4FNHoPtk2GOxdUpxFm6LMjn3Ez6SahzUKxs7Gu41vpsNTIkSNZtmwZ3377LVFRUQwePJikpCTeeOMNAAYMGMD48eOzlu/atSuLFy9mxYoVREdHs3XrViZNmkTXrl2zihxrM6ZjVbxdnRi1KpJMGZ4SOXF5L+xfrM1nU7yK6jTiadqGgGtJ7eyaPlN1GmFGDsUe4seoHxladygV3CqojlPglJZyffv25fbt2wQHBxMbG0udOnXYvHlz1kXGMTExj52pCQoKQqfTERQUxPXr1ylevDhdu3Zl+vTpqt6Cci4Odszv40/vJREs3X2Jwa0qqo4kzEHqQwh7H8o2gcaDVacRz+JQSGuB8U1H2PcZNLPMPkDCuJLTk5kUPom6JeryavVXVcdRQmewsvGcxMRE3NzcSEhIsJjrbwBmbori3+GXWT+0GVW9Lat1vcgHG0ZA5AoYHA4e1vetzuxsmQQHlsC7u8Crhuo0wsRNi5jG+kvr+bXrr/i4mv8dwrlhVndLiWcb0a4K5Yq5MGrVMdIz5e4K8RwXtsNf30C7qVLYmIvWE7W/q7BBWosMIZ5h3/V9rDy3klH1R1ltYQNS3FgMJ3tbPu5Th6ibD1i0Qy4+FM/wKF6b/bZCa2j4tuo0IrvsnbThqdiTsGe+6jTCRCWmJRK8L5jGJRvTp2of1XGUkuLGgtQu48aQ1pVY+OcFTl5PUB1HmKI/JkDqA+i+UOtGLcxH6XrQfBTsngs3jqlOI0zQnINzSEpPYmrTqeis/PiW4sbCfNC6ElW8ijBy5TFSM+TuCvE/zmyCYz9Cx5ngVkZ1GpEbLT6CEtW1VhkZqarTCBOyI2YHay+uZUzDMZQsXFJ1HOWkuLEwDnY2fNzXn+g7SSzYdl51HGEqku/B+mFQpSPU6a86jcgtOwfo+SXcvQA7Z6pOI0xEfEo8UyKm0LJMS3pU6qE6jkmQ4sYCVfN2ZXjbKny56yJHYu6rjiNMwcZRkJkGXT+V4Shz51UTWo+H8E+11hnC6k0/MJ10fTohTUKsfjjqP6S4sVDvtaiAX5mijFoZyaM0GZ6yaid/g1O/Qef5UOTprU2EmWk6TGuZETZIa6EhrNYfl/9g8+XNBDUOorhLcdVxTIYUNxbKztaG+X38uRH/iDl/nFEdR6jy8JZ21qZGd6j1suo0wlhs7bSWGQnXYPtU1WmEInce3SF0fyjtyrWjo29H1XFMihQ3Fqxi8cKM6ViNf4dfJuLiXdVxREEzGLTrbGxsofPHMhxlaYpXgTbBcGAxRO9RnUYUMIPBwJSIKdjobAhqHCTDUX8jxY2Fe6OpL43Ke/DR6kgepmaojiMKUuQKOLsJuiyAQp6q04j8EDAYygXC2ve1W/yF1Vh/aT07r+4kuEkwHk4equOYHCluLJyNjY55vfy5l5TGjE1RquOIgpJwHX4fC37/gupdVKcR+cXGBrovgqS7WosGYRVik2KZdWAWXSt0pU3ZNqrjmCQpbqxA2WIuTOhUnZ8OxLDr3G3VcUR+Mxhg3Qfg4AIvzlKdRuQ3j/LQfhoc/jdc2KY6jchnBoOBkH0hONs5M7bRWNVxTJYUN1aif0BZmlf2ZOzq4yQ8kt40Fu3wcrj4J3RbCM7uqtOIgtDgTa2lxtqhWosNYbFWn1/Nvhv7mBI4BTdHN9VxTJYUN1ZCp9Mx+2U/klIzmLL+lOo4Ir/cvwxbgqDeQKjcVnUaUVB0Oq2lRtpD2DxedRqRT649uMbcQ3N5ufLLNCvdTHUckybFjRUpVdSZkG41+e3IdbacilUdRxibXg9hQ8DFAzpMV51GFDS3MvDibIj8SWu1ISyK3qBnUvgkPJw8+KjhR6rjmDwpbqzMy/VK07Z6CSasOcG9pDTVcYQxHVwKV/ZqF5g6FlGdRqjg3w+qvKhNAZAk0z9Ykp+ifuKvuL+Y2nQqhewLqY5j8qS4sTI6nY4ZL9UmQ29g0tqTquMIY7lzHraFQKP3oHwL1WmEKjqd1mJDnw6bRqlOI4wkOiGaBUcW8Eq1V2hUspHqOGZBihsrVKKIE9O612Lj8Zusj7yhOo7IK30mhA0G19LQdrLqNEK1Il5aq41Ta+Dkr6rTiDzK1GcSFB6EdyFvhtcfrjqO2ZDixkp19S9F59olmbT2JLcSU1THEXmx7zO4fhh6LNZu/xai1stQo4fWeuNBnOo0Ig+Wn1rOyTsnCQ0MxdnOWXUcsyHFjRWb1qMWdjY6Jqw5gcFgUB1H5EbcadgxA5oOhbIBqtMIU9L5Y7Cx066/kePbLJ2/f55FxxYxsMZA6pSoozqOWZHixop5FHJgRs/abIu6xa9HrquOI3IqMx3WvAceFaDVBNVphKkpVEy7/ubc7xD5s+o0IofS9elM3DuRskXKMqTuENVxzI4UN1aufU1vXqpXminrTnEj/pHqOCInds+DuFPQcwnYO6lOI0xRtc7aHVS/j9U6iAuzsez4Ms7dP8f05tNxtHVUHcfsSHEjCOlak0KOdoz99bgMT5mLG0dhzzxoMRpK1VWdRpiyjrPAoTCs/UCGp8zEqbunWHZ8Ge/4vUPNYjVVxzFLUtwI3Jztmd3Ljz3n7/DjgRjVccQ/yUiFNYOhRA1oPlp1GmHqnItC98/h0g746xvVacQ/SMtMI2hvEJXdK/Nu7XdVxzFbUtwIAFpWKU6/RmWZsSmKmLvJquOI59kxA+5e0Iaj7BxUpxHmoFJbqP+61jn8XrTqNOI5Fh1bxOXEy4Q2C8Xe1l51HLMlxY3IMrFzdTwKOTB6dSR6vZy+NklXD2q3frceD15yulrkQPtQ7SLjtUO0Vh3C5By7dYzlp5YzpM4QqrhXUR3HrElxI7IUdrRjbi9/Dkbf49/7LquOI/4uLRnWDIJS9aDpMNVphLlxLALdv4Ar4XBgieo04m8eZTwiKDyIWsVq8XrN11XHMXtS3IjHNKlYjDcCfZmz+QwXbz9UHUf8r+1TIPG6Nhxla6c6jTBH5ZtDwGDtd+nOedVpxP/49MinxCbFEtosFDsbOb7zSoob8YQxHapRqqgzo1ZGkpEpp69NQvQe7dt2mxDwrKw6jTBnbYK1Vh1rBkFmhuo0AjgUe4gfo35kWL1hlHcrrzqORZDiRjzB2cGWeb39OX4tnqV7LqmOI1IfwNr3oVwzCBikOo0wdw4u2tm/G0dg36eq01i9pPQkJoVPooFXA/pX7686jsWQ4kY8Vf1y7rzXsiKfbD3HmdhE1XGs25YgSLoL3ReCjRyywgh8GkHTD2HHTG0iSKHMvL/mcS/lHtMCp2Gjk+PbWGRPimca3rYyFTwLM/KXSNIyZHhKiQvb4PBy6BAKHnK6WhhR6wlQrJLWwiMjTXUaqxR+PZzV51YzusFoyhQpozqORZHiRjyTo50t8/v4cy7uAQt3XFAdx/o8ioe1Q6HiC1D/DdVphKWxc9SGp25FabNdiwKVmJZI8L5gmpZqSu8qvVXHsThS3IjnqlXajQ9eqMSiHRc4cS1BdRzrsnkcpCVBt89Bp1OdRliiUnWgxUdan7LrR1SnsSqzD87mUfojpjSdgk6Ob6OT4kb8oyGtK1G9ZBFGrjxGSnqm6jjW4cxGrZPzi7PATU5Xi3zUfBR419LunkpPUZ3GKvwZ8yfrLq5jbKOxeBfyVh3HIklxI/6Rva0N83vX4crdZD7Zek51HMuXdBfWD4OqnbSOzkLkJ1t76LEE7kfDjumq01i8+yn3mRIxhVY+rehWsZvqOBZLihuRLVW9izCiXRWW7rnE4Sv3VMexbBtHgj4DuiyQ4ShRMLxqaBcY7/scYvarTmPRQveHkmnIJKRJiAxH5SMpbkS2vduiAnV8ijJqZSTJaTL5V744+SucDoPOH0MRL9VphDVp+iGUaQBhg7VrvYTRbY7ezJYrWwhqHISns6fqOBZNihuRbbY2Oub39ic2MYU5m8+qjmN5HsTBxlFQsyfUekl1GmFtbGy14anEm7Btsuo0FufOozuEHgilg28HOvp2VB3H4klxI3KkQvHCjO1YjeX7LrPvwh3VcSyHwQDrPwQbe+g0X3UaYa08K0HbyXBwKVzapTqNxTAYDEzeNxk7nR0TAyaqjmMVpLgROTawiS+NK3jw0erjPEhJVx3HMhz7Cc5thq6fQqFiqtMIa9boXfBtDmuHQIrMTm4May+uZde1XYQ0CcHdyV11HKsgxY3IMRsbHXN7+ROfnMb0jVGq45i/hGvanDb+r0C1TqrTCGtnY6O1+nh0H7bIWYa8ik2KZfbB2XSr2I3WZVurjmM1pLgRueLj4cLEzjVYcegqO87eUh3HfBkMsPYDcCgMHWeqTiOExt0X2ofCke/g3BbVacyWwWAgODwYF3sXxjYaqzqOVZHiRuRav0Y+tKhSnLGrj5OQLMNTufLXN3Bph/ZN2bmo6jRC/Ff916FiG1g3FJJl+ofcWHVuFRE3I5jWdBquDq6q41gVKW5Erul0Oma/XJtH6ZlMXi+dhXPsXjRsmaT1jarURnUaIR6n02mtP9Ifwe9y1iGnrj64yry/5tG7Sm+alm6qOo7VkeJG5ElJN2cmd63JmqPX2XwyVnUc86HXQ9j72sXD7aepTiPE07mVhhdnw4mVcHqd6jRmQ2/QE7Q3CA8nD0Y1GKU6jlWS4kbk2Uv1StOuhhcT15zg7sNU1XHMw4HFELMPeiwGxyKq0wjxbP7/gqqdYcMISJLpH7Ljh9M/cOTWEaYFTqOQfSHVcaySFDciz3Q6HTN61kZvMBAUdhKDwaA6kmm7fQ62T4WAweDbTHUaIZ5Pp4OuC8Cghw3DtYvgxTNdSrjEZ0c/49Xqr9LQu6HqOFZLihthFMWLOBLaoza/n4xlXeQN1XFMV2YGhA3SOn23CVadRojsKVwCunwMUevhxGrVaUxWhj6DoL1BlCxUkg/rfag6jlWT4kYYTWe/knTxK0nw2lPEJaaojmOa9n0KN45q09w7uKhOI0T21ewJNV+CTaO1Fg3iCctPLefU3VOENgvF2c5ZdRyrJsWNMKpp3Wthb2vDuF+Py/DU38WehB0ztQaFPnK6WpihzvPBzlFrFSLH92PO3jvLomOLeKPmG/gX91cdx+pJcSOMyr2QA7Neqs2Os7dZ9dc11XFMR0aaNhzlWRlaT1CdRojccfHQWoSc3wJHf1CdxmSkZ6Yzce9EfF19eb/O+6rjCKS4EfmgbQ0vetUvw9QNp7l2P1l1HNOwey7citLujrJzVJ1GiNyr+iLU6Q+bx0N8jOo0JuHL419yMf4i05tNx8HWQXUcgRQ3Ip8Ed61BESc7xqw+jl5v5aevrx+BPfOhxUdQqo7qNELkXceZ4OSmNdfU61WnUerknZN8deIr3vV7lxrFaqiOI/6fFDciX7g62TP7ZT/2XbzLDweuqI6jTnoKrBkE3rWguUzmJSyEkxt0/xyid8NfX6tOo0xqZioT906kinsV3vZ7W3Uc8T+kuBH5pkWV4vQPKMvMTWe4fCdJdRw1doTC/Wjo+SXY2qtOI4TxVHwBGrwFW4Ph7kXVaZRYeHQhVx9cZUazGdjbyPFtSqS4EflqQqfqeBZxYPSqSDKtbXgqZj/sWwitJ0KJ6qrTCGF87aZqc+CEvQ/6TNVpCtSRuCN8e+pbhtQZQiX3SqrjiL+R4kbkq0KOdszr5c/hmPt8szdadZyCk5akDUeVaQhNh6pOI0T+cCwM3b+Aqwdg/xeq0xSY5PRkgsKD8Cvux+s1X1cdRzyFFDci3wVUKMabgeWZu+Us5+MeqI5TMLZNhgex2t1RNraq0wiRf3wDockQ2D4Nbp1RnaZAfHL4E24n3yY0MBRbOb5NkhQ3okB81KEqZdydGb0qkoxMC7+74tJOOLgU2k4GTzldLazAC0HgXg7CBmstRizY/pv7WXF2BcPrD8fXzVd1HPEMUtyIAuFkb8v83v6cuJ7Akl0WfPFhSiKs/QB8m0Ojd1WnEaJg2DtrLUVuHoPwT1SnyTcP0x4SHB5MQ++G9KvWT3Uc8RxS3IgCU7esO4NbVeTT7ec5fSNRdZz88ccEeHQfui8CGzm8hBUpUx+ajYCdsyH2hOo0+WLuX3NJSE1gWuA0bHRyfJsy5X87ixYtwtfXFycnJwICAjh48OBzl4+Pj2fIkCGULFkSR0dHqlSpwqZNmwoorcirD9tUpmLxwoxceYy0DAsbnjq3BY5+D+1DtVP0QliblmOheFXtYvqMNNVpjGr3td38dv43Pmr4EaULl1YdR/yDXBc327dvp0uXLlSsWJGKFSvSpUsXtm3blqN1/PLLL4wcOZKQkBCOHDmCv78/HTp04NatW09dPi0tjXbt2nH58mVWr17N2bNnWbZsGaVLyy+auXC0s2V+H38u3HrIZ9vPq45jPMn3YN1QqNQW6r+uOo0Qatg5ahfR3z4Du2arTmM0CakJTN43mcDSgbxc+WXVcUQ25Kq4+eKLL+jYsSNFihRh2LBhDBs2DFdXVzp16sSiRYuyvZ6PP/6Yd955hzfeeIMaNWqwZMkSXFxc+Oabb566/DfffMO9e/cICwsjMDAQX19fWrZsib+/dGA1JzVLufFhm8os3nWRY1fjVccxjt/HQsYj6PY56HSq0wihTkk/aDkO9n4C1w6rTmMUMw/OJCUzhSlNpqCT49ss6AyGnPetL1OmDOPGjeODDz547PlFixYxY8YMrl+//o/rSEtLw8XFhdWrV9OjR4+s5wcOHEh8fDxr16594jWdOnXCw8MDFxcX1q5dS/HixXnllVcYO3YstrZPvx0vNTWV1NTUrD8nJibi4+NDQkICrq6u2XzHwtjSM/W8vHgfSakZbPywOU72Znw75el1sPI1bRZi/3+pTiOEepkZ8HVbbb6n93ZrFxybqW1XtjFi5whmNJtB14pdVccR2WSXmxfFx8fTsWPHJ55v3749Y8eOzdY67ty5Q2ZmJl5eXo897+XlxZkzT58r4dKlS/z555/079+fTZs2ceHCBd5//33S09MJCQl56mtmzpzJlClTspVJFBx7Wxvm9/an8+d7mb/lLBM7m2nDuYe3YcMIqNYF/PqqTpMrBoOBjAzLvn3XnNna2mJjbhen29ppd0992QL+DIUO01UnypW7j+4ybf80XvB5gS4VuqiOI3IgV8VNt27dWLNmDR999NFjz69du5YuXfLvF0Cv11OiRAmWLl2Kra0t9evX5/r168ydO/eZxc348eMZOXJk1p//c+ZGqFfZqwij21dh5u9naFfDm0blPVRHyhmDATaOAIMeunxilsNRGRkZ3L59m1ycwBUFyMXFBTc3N/MaEilRTZv/ZmswVOsM5ZqqTpQjBoOB0P2h6A16JjWZZF77XuSuuKlRowbTp09n586dNGnSBID9+/cTHh7OqFGj+Oyzz7KW/fDDD5+6Dk9PT2xtbYmLi3vs+bi4OLy9vZ/6mpIlS2Jvb//YEFT16tWJjY0lLS0NBweHJ17j6OiIo6Njjt+jKBhvNavAllNxjF4Vye/DmlPIMVe/kmqcWA1R66H3t1p/HTNjMBiIj4/HxsYGd3d3+fA2QQaDgbS0NBITtakTihYtqjZQTjUZAmc2apP7DQrX2jWYiU3Rm9gWs435Lefj6eypOo7IoVxdc1O+fPnsrVyn49KlS8/8eUBAAI0aNeLzzz8HtDMzZcuW5YMPPmDcuHFPLD9hwgR++uknLl26lHWa9tNPP2X27NncuHEjW5kSExNxc3OTa25MyOU7Sbz46R561S/DtB61VMfJnsSb8EWAdndUr6dfAG/qMjMziYuLw93dHWdn870mwho8fPiQxMREvL29zW+I6u5FWNIM6rwCneerTpMtt5Jv0WNtD5qVasaclnNUxxG5kKuvydHRxmmAOHLkSAYOHEiDBg1o1KgRCxYsICkpiTfeeAOAAQMGULp0aWbOnAnA4MGDWbhwIcOGDWPo0KGcP3+eGTNmPPPskDAPvp6FGN+pGsFrT9GhpjfNKpv4tySDAdZ/CHZO0Gme6jS5ptdr8ww962J8YTr+c1Y6MzPT/IqbYhW17uGbRmvXplVsrTrRcxkMBibvm4yjrSMTAiaojiNySekYQN++fbl9+zbBwcHExsZSp04dNm/enHWRcUxMzGMHso+PD3/88QcjRozAz8+P0qVLM2zYsGxfxCxM16sB5dh8MpYxqyPZPKIFrk72qiM929Hv4fwW6PcLuJjZdUJPIcNRps/s/44avAVR67TWJO/vAyc31Ymeac2FNey5voeFLyykqFNR1XFELmV7WGrkyJFMmzaNQoUKPXaB7tN8/PHHRgmXH2RYynRdu59MxwV76FTbmzm9THTuovgY+KIp1OgOPbI/p5MpSk9P5/bt2xQvXhx7exMuJoVl/F3959ip2V1rT2KCbjy8wUvrXqJduXZMC5ymOo7Ig2yfuTl69Cjp6elZ//0sZv8NQyhTxt2FSV2qM/bXE3So6U2b6l7//KKCpNfD2iHat86OM1SnEcK8FC2rHTfrhkL1blClg+pEj9Eb9ASHB1PEoQhjGo5RHUfkUbaLmx07djz1v4Uwpj4NfNh8MpZxv51gy3B33As9eQecMn99DdG74bUwkz6tbulatWpFnTp1WLBggeooIqfqvqbdYbhuKLy/36SGdX85+wsHYg+wtN1SijgUUR1H5JGZXZkmLJ1Op2PWy36kZegJWXdKdZz/untRm6+jwVsmf0GkECZLp4Oun0FGKvxuOmdHYhJj+OTwJ/St2pcmpZqojiOMIFfFTVJSEpMmTaJp06ZUqlSJChUqPPYQIi+8XJ2Y0q0m6yJvsOnETdVxQJ8JYe9rc9m0m6o6jRDmzbUkdJoLJ1bB6Sfb7BS0TH0mQeFBFHMqxsj6z7+eVJiPXN0t9fbbb7Nr1y5ee+01SpYsKdfZCKPrXqcUm0/GEhR2kkblPfAsrHAixv1fwNUD8MYms5qEzBrcv3+fYcOGsX79elJTU2nZsiWfffYZlStXxmAwUKJECRYvXkyvXr0AqFOnDnFxcdy8qRXNe/fupU2bNty/fx8XFxeVb8W61O6t3T21YQSUbQqFiyuL8v3p7zl26xjfdPgGF3v5HbAUuSpufv/9dzZu3EhgYKCx8wgBaMNToT1r0f6T3Uz47QRfvlZfTRF96wxsn6bNtGpm08fnxqO0TC7efljg261YvDDODjmfb+f111/n/PnzrFu3DldXV8aOHUunTp04ffo09vb2tGjRgp07d9KrVy/u379PVFQUzs7OnDlzhmrVqrFr1y4aNmwohU1B0+mg8yfaRJgbhkPfH5S0L7kYf5HPj37OqzVepYF3gwLfvsg/uSpu3N3d8fAwnQvBhGXyLOzIjJ61GPTDEcKOXadn3TIFGyAzA8IGgXs5rUeOFbh4+yFdPt9b4NvdMLQZtUrn7CLt/xQ14eHhNG2qFZ4//vgjPj4+hIWF0bt3b1q1asWXX34JwO7du6lbty7e3t7s3LmTatWqsXPnTlq2bGn09yOyoXBx6LIAVr6mDVH59SnQzWfoM5i4dyKlCpfiw7oyEaylyVVxM23aNIKDg/n222/lG4/IVx1rlaR7nVKErD1FkwqeeLs5FdzG934CNyPhrW1gbx3tCSoWL8yGoc2UbDenoqKisLOzIyAgIOu5YsWKUbVqVaKiogBo2bIlw4YN4/bt2+zatYtWrVplFTdvvfUW+/btY8wY07mw1erU6KYNUW0aDb7NwLVUgW366xNfE3Uviu9f/B4nuwL8XBEFItvFTd26dR8bFrhw4QJeXl74+vo+ManUkSNHjJdQWL0p3WoScfEuY389zvI3GhbM8NTN47BrNjQbAWXq5//2TISzg22Oz6CYstq1a+Ph4cGuXbvYtWsX06dPx9vbm9mzZ3Po0CHS09OzzvoIRV6cA9F7YN2H0H9VgQxPnbl3hiWRS3iz1pv4FffL9+2Jgpft4qZHjx75GEOIZyvq4sDsl/14Y/khfjl0lX81Kpu/G8xI1boYF68KLaW1h6mqXr06GRkZHDhwIKtAuXv3LmfPnqVGjRqAdu1W8+bNWbt2LadOnaJZs2a4uLiQmprKl19+SYMGDShUqJDKtyFcPKDb5/BTbzjyHdQfmK+bS8tMY+LeiZQvWp7B/oPzdVtCnWwXNyEhIfmZQ4jnal2tBH0b+DBtw2kCK3ni45GPw6G7ZsPtM/DODrBTeJeWeK7KlSvTvXt33nnnHb788kuKFCnCuHHjKF26NN27d89arlWrVowaNYoGDRpQuLA2/NWiRQt+/PFHPvroI1Xxxf+q0l6b4O+PCVChlXadWz5ZErmES/GX+LnLzzjYmtAkocKocjXPzdWrV7l27VrWnw8ePMjw4cNZunSp0YIJ8XdBXapT1MWBMauPo9dnqyVazl37S7vWpuU4KCmnq03dv//9b+rXr0+XLl1o0qQJBoOBTZs2PTZU3rJlSzIzM2nVqlXWc61atXriOaFYhxng7K61OPn/jvXGdvz2cb4++TXv+b9HNY9q+bINYRqy3TjzfzVv3px3332X1157jdjYWKpUqUKtWrU4f/48Q4cOJTg4OD+yGoU0zjRv4Rfu0P+rA0zuWoPXA8sbd+Xpj2BJc20um7e2gW2urrc3GxbRjNFKWM3f1aWd8F137TqcgPeMuuqUjBR6r+9NIftCfN/pe+xtLHg/ityduTl58iSNGjUCYOXKldSuXZt9+/bx448/snz5cmPmE+IxgZU8GdCkHLM2nyH6TpJxV/5nqNa5uMcSiy9shDBJFVpBw3dga4jW8sSIPj/6OTce3mB6s+lS2FiBXBU36enpODpq1yJs27aNbt26AVCtWrWsmT+FyC/jXqyGl6sTo1YeI9NYw1NX9kHEIm0+mxJyuloIZdpNgSLesGaQ1vrECA7HHeb7098ztO5QKhataJR1CtOWq+KmZs2aLFmyhD179rB161Y6duwIwI0bNyhWrJhRAwrxdy4Odszv7c/Rq/F8tedS3leY+lC7O8onQJuJWAihjkMh6LkErh2CiIV5Xl1yejJBe4OoU6IOr9V4zQgBhTnIVXEze/ZsvvzyS1q1akW/fv3w9/cHYN26dVnDVULkpwa+HrzdrDzzt5zjXNyDvK1sWwg8vAU9vgCbnLcAEEIYWdnG0PQDbaj4VlSeVvXx4Y+5m3KX0MBQbOX4tho5vrDAYDBQoUIFYmJiyMjIwN3dPetn7777rsxYLArMqPZV2XH2NqNWRvLb+02xt81FrX5xBxz6CjrNg2JyuloIk9E6CM5t0Yan3t4Gtjm/TibiRgS/nP2FCQETKOuaz/NjCZOS438NDAYDlSpVIjY29rHCBsDX15cSJUoYLZwQz+Nkb8v83v6cvpnI4p25uPgwJQHWfgDlW0KDt4wfUAiRe/ZO0HMxxJ7QpmfIoQdpDwjeF0yAdwB9q/bNh4DClOW4uLGxsaFy5crcvXs3P/IIkSP+PkV5v1VFPtt+npPXE3L24s0TtAKn+yKwydUIrRAiP5WuD81HahNr3ozM0UvnHJrDg7QHTA2cio1Ojm9rk6u/8VmzZvHRRx9x8uRJY+cRIseGvlCZyl5FGLUyktSMbN5dcXYzHPsBOs6Eoj75G1AIkXstxkDx6rBmsNYaJRt2Xd1F2IUwxjQcQ6nCBdeMU5iOXBU3AwYM4ODBg/j7++Ps7IyHh8djDyEKkoOdDfN7+3PpzkM+3Xb+n1+QfA/WfwiV20PdV/M/oBAi9+wctLun7pyDnbP+cfH4lHgmR0ymeenm9KzUswACClOUq5nKFixYYOQYQuRNjVKuDGtTmY+3nqNdDS/qlnV/9sKbPtK+AXb9rEA6EAsh8si7FrQaBzumQ7XOUKbBMxedcXAGaZlpTG46GZ0c31YrV8XNwIH527VViNwY1LIiW0/HMWpVJJs+bI6T/VNu+zwVBidXw0tfgWvJAs8ohMilwOFwdpN299SgPWDv/MQiWy5v4ffo35nVfBYlXOTmFmuW66usLl68SFBQEP369ePWrVsA/P7775w6dcpo4YTICTtbG+b38efa/UfM/ePskws8vAUbR0L1blC7V8EHFGYrMzMTfT41cxTZZGuntUZJuArbpz3x4zuP7hC6P5S2ZdvSqXwnBQGFKclVcbNr1y5q167NgQMH+O2333j48CEAkZGRhISEGDWgEDlRqUQRxnSoyjfh0Ry49D939BkMsGEEoIMun8hwlJnbvHkzzZo1o2jRohQrVowuXbpw8aI2HUDTpk0ZO3bsY8vfvn0be3t7du/eDUBqaiqjR4+mdOnSFCpUiICAAHbu3Jm1/PLlyylatCjr1q2jRo0aODo6EhMTw6FDh2jXrh2enp64ubnRsmVLjhw58ti2zpw5Q7NmzXBycqJGjRps27YNnU5HWFhY1jJXr16lT58+FC1aFA8PD7p3787ly5fzZV9ZlOJV4IVJsP8LuBye9bTBYGBaxDR0Oh1BjYNkOErkrrgZN24coaGhbN26FQcHh6znX3jhBfbv32+0cELkxhuB5WlQzp3RqyNJSs3Qnjy+Es5s0AqbQp5qA5qytGS4cazgH2nJOYqZlJTEyJEj+euvv9i+fTs2Njb07NkTvV5P//79WbFiBQbDf/uO/fLLL5QqVYrmzZsD8MEHHxAREcGKFSs4fvw4vXv3pmPHjpw//98L0pOTk5k9ezZfffUVp06dokSJEjx48ICBAweyd+9e9u/fT+XKlenUqRMPHmizZGdmZtKjRw9cXFw4cOAAS5cuZeLEiY9lT09Pp0OHDhQpUoQ9e/YQHh5O4cKF6dixI2lpaTnaD1ap8WAo20RrmZKqfbHecGkDf179k0mNJ1HMWVoACdAZ/vcTIJsKFy7MiRMnKF++PEWKFCEyMpIKFSpw+fJlqlWrRkpKSn5kNYrExETc3NxISEjA1dVVdRyRT67cTaLjgj28VK8009sUg0WNoUoHeHmZ6mgmIz09ndu3b1O8eHHs7f9/9tcbx2Bpy4IP8+4uKFUn1y+/c+cOxYsX58SJE3h5eVGqVCn+/PPPrGKmadOmtGjRglmzZhETE5M1y3qpUv+9Tbht27Y0atSIGTNmsHz5ct544w2OHTuW1V7mafR6PUWLFuWnn36iS5cubN68ma5du3L16lW8vb0Brblwu3btWLNmDT169OCHH34gNDSUqKiorDMMaWlpFC1alLCwMNq3b//Edp76d2XN7l2CxYHg/y/iWo+j59qetPBpwazm/3w3lbAOubqguGjRoty8eZPy5cs/9vzRo0cpXbq0UYIJkRflihViQqdqTFp7klG3JuDh4AKd5qiOZfo8q2iFhort5sD58+cJDg7mwIED3LlzJ+t6mJiYGGrVqkX79u358ccfad68OdHR0URERPDll18CcOLECTIzM6lS5fFtpqamPtb418HBAT8/v8eWiYuLIygoiJ07d3Lr1i0yMzNJTk4mJiYGgLNnz+Lj45NV2ABP9NuLjIzkwoULFClS5LHnU1JSsobWxD/wqADtp2HYOIqQzGs42TkxvtF41amECclVcfOvf/2LsWPHsmrVKnQ6HXq9nvDwcEaPHs2AAQOMnVGIXOkfUI7UA//G4+ZuknuvwMX5ObeHC42DS57OoBSUrl27Uq5cOZYtW0apUqXQ6/XUqlUra1inf//+fPjhh3z++ef89NNP1K5dm9q1awPw8OFDbG1tOXz4MLa2j99RV7hw4az/dnZ2fuLajYEDB3L37l0+/fRTypUrh6OjI02aNMnRcNLDhw+pX78+P/744xM/K168eLbXY/UavMVvp38kPP4Mi5rPwc3RTXUiYUJyVdzMmDGDIUOG4OPjQ2ZmJjVq1CAzM5NXXnmFoKAgY2cUIldsEmJ4M2kZqw0vsP90KebVVJ1IGMPdu3c5e/Ysy5Ytyxp22rt372PLdO/enXfffZfNmzfz008/Pfalq27dumRmZnLr1q2s12dXeHg4X3zxBZ06aXfjXL16lTt37mT9vGrVqly9epW4uDi8vLwAOHTo0GPrqFevHr/88gslSpSQofE8uJ50gzm2SbyUmEqL4+uhwouqIwkTkqsLih0cHFi2bBkXL15kw4YN/PDDD5w5c4bvv//+iW9CQiih18PaIdi4eGDTcQarD19j2+k41amEEbi7u1OsWDGWLl3KhQsX+PPPPxk5cuRjyxQqVIgePXowadIkoqKi6NevX9bPqlSpQv/+/RkwYAC//fYb0dHRHDx4kJkzZ7Jx48bnbrty5cp8//33REVFceDAAfr374+z83/nW2nXrh0VK1Zk4MCBHD9+nPDw8KwvfP85C9S/f388PT3p3r07e/bsITo6mp07d/Lhhx9y7do1Y+0mi6Y36AkOD8bNqSgfNRoLx36EM5tUxxImJE/dxMqWLcuLL75I7969qVy5srEyCZF3h5bB5T3QfRE9G1ejTbUSjPvtBPeT5G4Uc2djY8OKFSs4fPgwtWrVYsSIEcydO/eJ5fr3709kZCTNmzenbNmyj/3s3//+NwMGDGDUqFFUrVqVHj16cOjQoSeW+7uvv/6a+/fvU69ePV577TU+/PBDSpT472Rxtra2hIWF8fDhQxo2bMjbb7+ddbeUk5MTAC4uLuzevZuyZcvy0ksvUb16dd566y1SUlLkTE42/XzmZw7GHmRa4DQK138TqnSE9cO01ipCkMu7pUA7yD/55JOsWycrV67M8OHDefvtt40a0NjkbikrcOcCLGkG9V6DTto/ercSU2j3yW5aVCnO5/3qKg5oGuQOnIIRHh5Os2bNuHDhAhUrVszVOuTv6r+uJF6h17pe9KjUg4mN//82+wexsCgAKr4Avf+tNqAwCbm65iY4OJiPP/6YoUOH0qRJEwAiIiIYMWIEMTExTJ061aghhcg2faY2/4VrSWg7OevpEq5OTO1ek2ErjtGxpjed/aT1gsgfa9asoXDhwlSuXJkLFy4wbNgwAgMDc13YiP/K1Gcyce9ESriUYET9Ef/9QRFv6Dwffn0LqneFWi+pCylMQq6Km8WLF7Ns2bLHxrG7deuGn58fQ4cOleJGqLPvc7h2CN7cDA6FHvtRN/9S/HEqlqCwEzQq70HxIo6KQgpL9uDBA8aOHUtMTAyenp60bduW+fPnq45lEb47/R3Hbx/n2xe/xcXe5fEf1noZotbBxlHg2wwKS28pa5ara27S09Np0ODJrqz169cnIyMjz6GEyJVbUVrX4KYfQNnGT/xYp9MxrXstbHQ6Jqw5QS5HZIV4rgEDBnDu3DlSUlK4du0ay5cvf2z+HJE7F+5f4POjnzOw5kDqlnjK0LJOB50/Bp2Ndv2NHN9WLVfFzWuvvcbixYufeH7p0qX0798/z6GEyLHMdFjzHriXh9bPno6gWGFHZrxUm62n41hz9HoBBhRC5Fa6Pp2J4RPxKeLDB3U/ePaChTyh66da9/DIFQUXUJicbA9L/e+tljqdjq+++ootW7bQuLH2DfnAgQPExMTIJH5CjT0fQ+xJeHsb2Ds9d9EONb3pWbc0IetO0aRiMUq6OT93eSGEWl+d+Iqz987yY6cfcbT9h+Hk6l3Ary/8PhbKtwA3mTXfGmW7uDl69Ohjf65fvz5A1nThnp6eeHp6curUKSPGEyIbbhyD3XOg+UgoXS9bL5nctSb7Lt5h7K8n+PaNhtJFWAgTFXU3iqWRS3m79tvU9MzmTJwvzobo3bDuA3j1N23ISliVXN8Kbq7kVnALk5EKS1uBjS28/SfYOfzjS/5j59lbvP7vQ8zoWZtXAp4/v4klktuLzYe1/l2lZabRd0Nf7Gzs+KnTT9jb5uC9n98GP74MXRZAgzfyLaMwTXmaxE8I5XbOhDvnoceSHBU2AK2qlqBfIx+mbzzN1XvJ+RRQCJFbiyMXcznxMqGBoTkrbAAqt4V6A+GPiXD/cr7kE6YrV8VNSkoKc+fOpVOnTjRo0IB69eo99hCiQFw9BOGfQqtx4F0rV6uY2LkGRV0cGL0qEr3eqk5iCmHSIm9H8s3Jb3jf/32qelTN3Uo6TAeXYhA2RGvJIqxGroqbt956izlz5lCuXDm6dOlC9+7dH3sIke/SkiFsEJSqC4HDc72awo52zO3tx4Hoeyzfd9lo8UT+adWqFcOHD3/mz3U6HWFhYdle386dO9HpdMTHx+c5mzCORxmPCNobRM1iNXmjVh6GlByLQI9FcGUvHPzSeAGFycvVJH4bNmxg06ZNBAYGGjuPENnz5zRIuAb/+hlsc/VrnKVpRU9eb+rL7M1naFm1OBWLFzZSSKHCzZs3cXd3Vx1D5MFnRz7jZtJNPn3hU+xs8nZ8U74FNHoPtk2GSm3BU/ogWoNcnbkpXbo0RYoUMXYWIbLn8l7Y/wW8MAmKVzHKKsd2rEapos6MXhVJpgxPmTVvb28cHWX2aXN1KPYQP0T9wNC6Q6ngVsE4K20bAq6ltNYsmTLRrDXIVXEzf/58xo4dy5UrV4ydR4jnS30IYe9D2abQeLDRVuvsYMu83n5EXo1n6e5LRluvyB96vZ4xY8bg4eGBt7c3kydPzvrZ34el9u3bR506dXBycqJBgwaEhYWh0+k4duzYY+s8fPgwDRo0wMXFhaZNm3L27NmCeTMiS3J6MpPCJ1GvRD1eq/Ga8VbsUEi76eD6Ydj3mfHWK0xWrs73NWjQgJSUFCpUqICLi8sTtybeuydt50U+2ToJkm7DgDDt9m8jql/Og3daVOCTred4oVoJqnpb39nJRxmPiE6ILvDtlncrj7Nd9idT/Pbbbxk5ciQHDhwgIiKC119/ncDAQNq1a/fYcomJiXTt2pVOnTrx008/ceXKlWderzNx4kTmz59P8eLFGTRoEG+++Sbh4eF5eVsih+b/NZ97KfdY1m4ZNjoj38xbNgCafKDdYVmlA3hlc84cYZZyVdz069eP69evM2PGDLy8vGQCNFEwLmyHv77Ruv96GOl09d+MaFuFP6NuMXLlMcKGBGJva12zJUQnRNN3Q98C3+4vXX6hRrEa2V7ez8+PkJAQACpXrszChQvZvn37E8XNTz/9hE6nY9myZTg5OVGjRg2uX7/OO++888Q6p0+fTsuWLQEYN24cnTt3JiUlBSen5894LYxj3/V9rDy3kqCAIHxcffJnI60nwvktsGYQvPMn5PT2cmE2clXc7Nu3j4iICPz9/Y2dR4inexQP64ZChVbQ4K1824yTvS0f96lDjy/CWfjnBUa0M841PeaivFt5funyi5Lt5oSfn99jfy5ZsiS3bt16YrmzZ8/i5+f3WIHSqFGjf1xnyZIlAbh16xZly1rfBI8FLTEtkeB9wTQp2YQ+Vfvk34bsnaDnEljWBnbPg9bj829bQqlcFTfVqlXj0aNHxs4ixLNtHg+pD6DbwnyfSr12GTeGtK7Eoh0XaFvdi9pl3PJ1e6bE2c45R2dQVPn7ULhOp0Ofx3lM/ned/zkbndd1iuyZfXA2SelJTA2cmv8jAaXqQovRsHsuVO2o/VlYnFydc581axajRo1i586d3L17l8TExMceQhjVmU0Q+RN0nAlF8+l09d980LoSVb2LMGrVMVIzMgtkm8L4qlatyokTJ0hNTc167tChQwoTib/bEbODdRfXMbbRWLwLeRfMRpuP1q65WTMI0lMKZpuiQOWquOnYsSMRERG0adOGEiVK4O7ujru7O0WLFpX5JYRxJd+D9cOgSkeo07/ANutgZ8P8Pv5E30nik63nC2y7wrheeeUV9Ho97777LlFRUfzxxx/MmzcPQK4VNAHxKfFMiZhCyzIt6V6xACeAtXPQhqfuXoSdMwpuu6LA5GpYaseOHcbOIcTTbRwFmWnQ9dMC7+xbzduVEe2qMO+Ps7Sr4UX9clK4mxtXV1fWr1/P4MGDqVOnDrVr1yY4OJhXXnlFLhQ2AdMPTCfDkEFIk5CCLza9amrX3PwZClU7a3dTCYshXcGF6Tr5G6x+A17+Gmr3UhIhI1NPryURJDxKZ9OHzXF2MO7t5ypZa6fpH3/8kTfeeIOEhAScnbN/+7lKlvh3tfnyZj7a9RFzWszhxfIvqgmRmQHfdIBH92HQXnBwUZNDGF2u73Pds2cPr776Kk2bNuX69esAfP/99+zdu9do4YQVexCnnbWp0R1qvawshp2tNjx1I/4RszefUZZD5N53333H3r17iY6OJiwsjLFjx9KnTx+zKWws0Z1Hd5i+fzrty7Wno29HdUFs7bThqcTrsH2KuhzC6HJV3Pz666906NABZ2dnjhw5knWxXkJCAjNmyPilyCODATYM1ybp6/xxgQ9H/V3F4oUZ07Eay/ddZt/FO0qziJyLjY3l1VdfpXr16owYMYLevXuzdOlS1bGslsFgYErEFGx0NgQ1DlJ/7ZNnZWgTAgeWQPRutVmE0eSquAkNDWXJkiUsW7bssVOkgYGBHDlyxGjhhJWKXAFnN0GXBVDIU3UaAN5o6ktAeQ8+WnWch6nSm8acjBkzhsuXL5OSkkJ0dDSffPIJLi4y/KDK+kvr2Xl1J8FNgnF3MpHr2AIGQblACBuiTTkhzF6uipuzZ8/SokWLJ553c3MjPj4+r5mENUu4Dr+PBb9/QfUuqtNksbHRMa+3P/eT05i+8bTqOEKYpdikWGYdmEXXCl1pU7aN6jj/ZWMD3RdB8l34Y6LqNMIIclXceHt7c+HChSee37t3LxUq5M+0+MIKGAyw7gPtor4XZ6lO8wQfDxcmdq7OzwevsvPsk7Phmisru6fALFnC35HBYCBkXwjO9s6MbTRWdZwneZSH9tPgyLdwfpvqNCKPcnUr+DvvvMOwYcP45ptv0Ol03Lhxg4iICEaPHs2kSZOMnVFYi8PL4eKf0P9XcDaR09V/80qjsmw+Gcu4X0/wx/AWuLmY750rtra26HQ6Hjx4QJEiRdRf+yCeYDAYyMzMJDExEZ1Oh51drj6yTcLq86vZd2Mfi9suxs3RRGf9bvAmRK3XWr28v89kP4fEP8vVreAGg4EZM2Ywc+ZMkpOTAXB0dGT06NFMmzbN6CGNSW4FN1H3L8MXTbVbvrt9pjrNc92If0SHBbtpV92Lj/vWUR0nT1JTU7l3755FnBmwZA4ODhQtWtRsi5trD67x0rqX6FyhMyFNQlTHeb6Ea/BFE6jaCV76UnUakUt5mucmLS2NCxcu8PDhQ2rUqEHhwoWNmS1fSHFjgvR6+LYrJMTA4H3gWER1on+0+vA1Rq+K5MvX6tOhZgFNGZ9P9Ho9mZnSYsJU2djYYGNjY7Zn1vQGPW/98RY3k27ya7dfKWRfSHWkf3bsJwgbDH1/NKlr/0T25ehrwJtvvpmt5b755pschVi0aBFz584lNjYWf39/Pv/882d27v1fK1asoF+/fnTv3p2wsLAcbVOYkINfwpW9MHC9WRQ2AC/XK83mkzeZuOYEDX098CjkoDpSrv3nH08h8sNPUT/xV9xffN3+a/MobAD8+8HpddqUFGUbm8xdmyL7cvSJtnz5cnbs2EF8fDz3799/5iMnfvnlF0aOHElISAhHjhzB39+fDh06cOvW8y/YvHz5MqNHj6Z58+Y52p4wMXfOw7bJ0Og9KP/kHXimSqfTMeOl2mToDQSFnZBhHSGeIjohmgVHFtC/en8alfznL6wmQ6fTWr7oM2DjSO1mB2FWcjQsNWTIEH7++WfKlSvHG2+8wauvvoqHh0eeAgQEBNCwYUMWLlwIaKfIfXx8GDp0KOPGjXvqazIzM2nRogVvvvkme/bsIT4+/plnblJTUx/rCJyYmIiPj48MS5mCzAz4d0etOaaZTn2+PvIGQ38+ymf96tLNv5TqOEKYjEx9JgM2DyAhNYFVXVfhbGeGM0Kf/BVWv6m0BYzInRyduVm0aBE3b95kzJgxrF+/Hh8fH/r06cMff/yRq2+uaWlpHD58mLZt2/43kI0Nbdu2JSIi4pmvmzp1KiVKlOCtt976x23MnDkTNze3rIePj0+Oc4p8su8zuH4Yeiw2y8IGoKt/KTr7lSR47UluJaaojiOEyVh+ajkn75wkNDDUPAsb0Fq/1OwJm0bDg1jVaUQO5Hig3dHRkX79+rF161ZOnz5NzZo1ef/99/H19eXhw4c5WtedO3fIzMzEy8vrsee9vLyIjX36L9LevXv5+uuvWbZsWba2MX78eBISErIeV69ezVFGkU/iTsHOmdB0qNl3453WvRZ2NjrG/ybDU0IAnL9/nkXHFjGw5kDqlKijOk7edJoPNnawfpgMT5mRPF1F+J8r+P8zF0N+e/DgAa+99hrLli3D0zN7F3g5Ojri6ur62EMolpkOawaBR0VoNUF1mjzzKOTAzJf82H7mFqsPX1MdRwil0vXpTNw7kXKu5RhSZ4jqOHlXqBh0/QzObdbuohJmIcfFTWpqKj///DPt2rWjSpUqnDhxgoULFxITE5PjW8E9PT2xtbUlLi7usefj4uLw9n7y9tqLFy9y+fJlunbtip2dHXZ2dnz33XesW7cOOzs7Ll68mNO3I1TYPU87c9NzMdg7qU5jFO1qePFSvdJMXX+a6/GPVMcRQpllx5dx7v45QpuF4mjrqDqOcVTrpN1BtXmcNg+OMHk5Km7ef/99SpYsyaxZs+jSpQtXr15l1apVdOrUKVe3kjo4OFC/fn22b9+e9Zxer2f79u00adLkieWrVavGiRMnOHbsWNajW7dutG7dmmPHjsn1NObgxlHYPRdafASl6qpOY1QhXWtSyNGOsauPy/CUsEqn7p5i2fFlvOP3DjWL1VQdx7g6zgKHwrB2iAxPmYEc3S1lY2ND2bJlqVu37nMnlPrtt9+yHeCXX35h4MCBfPnllzRq1IgFCxawcuVKzpw5g5eXFwMGDKB06dLMnDnzqa9//fXXn3u31N/JJH4KpafA0pZg6wDv/Am25tu64Fl2nbvNwG8OMq1HLV5rXE51HCEKTFpmGn039MXexp4fO/+IvY3lHd9c2AY/vAyd50PDt1WnEc+Ro0n8BgwYYPRZMvv27cvt27cJDg4mNjaWOnXqsHnz5qyLjGNiYmSCMUuxcwbcuwTv7rTIwgagZZXivBJQlpmbomhR2ZNyxcxk0jIh8mjRsUVcSbzCii4rLLOwAajUFuq/AVuCoeIL4CGNok1VntovmCM5c6NIzAH4pgO0CYbmI1WnyVcPUzPouGA3pdycWfFuY2xszHPafCGy69itYwzcPJChdYfydm0LP6OR+gAWNwXXMvD6RpAv3yZJ/lZE/ktLgrBBUKYBNP1QdZp8V9jRjnm9/Tl4+R7fhEerjiNEvnqU8Yig8CBqedbi9Zqvq46T/xyLaHNzxeyDA4tVpxHPIMWNyH/bpkDiDe0DwdY8uxrnVOMKxXgj0Jc5f5zlwq2czf8khDn59MinxCbFEhoYip2NdRzf+DaDgMHaZ9vts6rTiKeQ4kbkr0u7tMaYbULAs7LqNAVqTIdqlCnqzKhVkWRk6lXHEcLoDt48yI9RPzKs3jDKu5VXHadgtQmGoj7anF2ZGarTiL+R4kbkn5REWPsBlGsGAYNUpylwzg62zOvjz4lr8Xy5+5LqOEIYVVJ6EpPCJ9HAqwH9q/dXHafgObhoZ6NvHoPwBarTiL+R4kbkny1BkHwXui+02ovu6pV1572WFVmw7RxRNxNVxxHCaOYemsv91PtMDZyKjc46j298GkHgMNg5C2JPqk4j/oeV/kaKfHd+Kxz5FjqEgoeVna7+m+FtK1PBszAjV0aSliHDU8L87b2+l1/P/8roBqPxKWLlk6e2Gq8Nua8ZBBlpqtOI/yfFjTC+R/dh3VBtHoj6b6hOo5yjnS3z+/hzPu4BC/88rzqOEHmSkJpASHgITUs1pXeV3qrjqGfnqA1P3Y7SZl8XJkGKG2F8v4+FtGTothCMPOmjuapV2o2hL1Rm0c6LRF6NVx1HiFybdXAWjzIeMaXpFKNP6mq2StXRWsrsmQ/XD6tOI5DiRhhb1Ho4/gu8OBvcSqtOY1Leb12RGiVdGbUqkpT0TNVxhMix7Ve2s+HSBsY2Got3oSebG1u15qPAuxasGay1mhFKSXEjjCfpDqwfDlU7gf+/VKcxOfa2Nszv40/M3WQ+3npOdRwhcuReyj2m7p9KK59WdKvYTXUc02NrDz2/hPvRsCNUdRqrJ8WNMA6DATaMAIMeuiyQ4ahnqOJVhJHtq7BszyX+unxPdRwhssVgMBC6P5RMQyYhTUJkOOpZSlSH1hNh30KI2a86jVWT4kYYx8lfIWqd1i23iJfqNCbtneYVqOtTlFGrIklOk8m/hOn7Pfp3tl7ZSlDjIDydPVXHMW1Nh0KZhtrdU2lJqtNYLSluRN49iIWNo6DmS1DrJdVpTJ6tjY75feoQl5jC7N/PqI4jxHPdTr7N9APT6eDbgY6+HVXHMX02ttBzifa5uG2y6jRWS4obkTcGA6z7EGwdtLM2IlvKexZiXMdqfBtxhfALd1THEeKpDAYDkyMmY29jz8SAiarjmI9iFaHdFDi4FC7tVJ3GKklxI/Lm2I9w/g/o+im4eKhOY1YGNPGlSYVijFl9nAcp6arjCPGEsAth7L62m5AmIbg7uauOY14avgO+zbUWNCkyO3lBk+JG5F78Vdg8HvxfgWqdVKcxOzY2Oub08iM+OY3pG6NUxxHiMTcf3mTOoTl0q9iN1mVbq45jfmxsoPsibVLTLXLWq6BJcSNyx2CAdR+AYxHoOFN1GrPl4+FCUJcarDh0lR1nbqmOIwSgDUcF7wvGxd6FsY3Gqo5jvtzLQYcZcOQ7OLdFdRqrIsWNyJ2/vtbGkrt9Ds5FVacxa/9q6EPLKsUZ++tx4pOlN41Qb+XZley/uZ9pTafh6uCqOo55qzcAKrXTWtIky/QPBUWKG5Fz9y7BlknQ4E2o1EZ1GrOn0+mY/bIfKemZTF53SnUcYeWuJl5l/uH59K7Sm6alm6qOY/50Ouj2GWQ80lrTiAIhxY3IGX0mhA2BQsWh3TTVaSyGt5sTU7rXJOzYDTafvKk6jrBSmfpMgsKD8HDyYFSDUarjWA7XUvDiXDixEk6vU53GKkhxI3Jm/2KIiYAeX4BjYdVpLEqPOqVpX8OLiWtOcudhquo4wgr9EPUDR24dYVrgNArZF1Idx7L49YFqXbSZ3JNk+of8JsWNyL7bZ2H7VGg8GHybqU5jcXQ6HTNeqo0BCFpzEoPBoDqSsCKX4i/x2ZHPeLX6qzT0bqg6juXR6aDLJ4ABNgzXbsoQ+UaKG5E9mRnadOJFy0KbYNVpLJZnYUdCe9Ri86lY1kXeUB1HWIkMfQYT906kVOFSDKs3THUcy1W4BHT+GKLWw4nVqtNYNCluRPaEL4Cbx7Rpxe2dVaexaJ1ql6SbfymC154iLjFFdRxhBf598t+cvnea0GahONk5qY5j2Wr2gFq9YNNoSJTr6/KLFDfin8WegJ2zIHA4lGmgOo1VmNq9Jg52Noz79bgMT4l8dfbeWb6I/II3a72Jf3F/1XGsQ6e5YOcI6z+U4al8IsWNeL6MNFgzGDyrQKtxqtNYjaIuDsx6qTY7zt5m1V/XVMcRFio9M52JeydS3q08g/0Hq45jPVw8oOtncH4LHP1BdRqLJMWNeL7dc+B2lDYcZeeoOo1VaVPdi971yzB1w2mu3U9WHUdYoCXHl3Ax/iLTA6fjYOugOo51qdoR6ryqtbCJj1GdxuJIcSOe7fph2PMxtBgDJf1Up7FKk7rWwNXJjjGrj6PXy+lrYTwn75zk6xNf867/u1QvVl11HOvUcQY4ucHaIaDXq05jUaS4EU+XnqINR3nXhuYjVaexWq5O9szp5c++i3f54cAV1XGEhUjNTGXi3olU9ajK27XfVh3Hejm5QfeFEL1ba2kjjEaKG/F0O0Lh/mVtOMrWXnUaq9assievNS7HzE1nuHwnSXUcYQEWHl3I1QdXmR44HXsbOb6VqtgaGr4NW4Ph7kXVaSyGFDfiSVciYN9CeGEilJDT1aZg3IvVKF7EkdGrIsmU4SmRB0fijvDtqW8ZWncoldwrqY4jANpO0ebACXtfa3Ej8kyKG/G4tCQIGww+jaDJB6rTiP9XyNGOeb39ORxzn2/2RquOI8xUcnoyQeFB+Bf3Z0CNAarjiP9wLAw9FsPVA7D/C9VpLIIUN+JxW0PgQax2oNnYqk4j/kej8h68FVieuVvOcj7ugeo4wgx9cvgTbiffJrRZKLZyfJuWck2hyRDYPg1unVGdxuxJcSP+69JOOLQM2k2BYhVVpxFPMbpDVXzcnRm1KpKMTLm7QmTf/pv7WXF2BcPrD6ecaznVccTTvBAE7uUgbJDW8kbkmhQ3QpOSCGs/AN/m0PAd1WnEMzjZ2zK/Tx1OXk9g8U65+FBkz8O0hwSHB9PIuxH9qvVTHUc8i70z9FgCNyNh7yeq05g1KW6E5o8J8Og+dF8ENvJrYcrq+BRlcKuKfPbneU7dSFAdR5iBuX/NJSE1gamBU7HRyfFt0srUh2YjYNdsuHlcdRqzJb/lAs79AUe/hw4ztFOiwuR92KYyFYsXZtTKSNIyZHhKPNvua7v57fxvjGk4htKFS6uOI7Kj5VgoXlW7uSMjTXUasyTFjbVLvgfrPoRK7aCe3D1hLhztbJnfx58Ltx7y2fbzquMIE5WQmsDkfZNpVroZL1V+SXUckV12jtpNHbfPaGdwRI5JcWPtfh8DGY+g22eg06lOI3KgZik3hrWpzBc7L3DsarzqOMIEzTgwg5TMFCY3mYxOjm/zUtIPWo6DvR/DtcOq05gdKW6s2el1cGIVvDgXXEupTiNyYXCritQu7caolcdISZfJv8R/bb2ylU3Rm5gQMAGvQl6q44jcaDYCSvprd0+lP1KdxqxIcWOtHt6GDcOhWhfw66M6jcglO1sb5vfx5+r9R8z746zqOMJE3H10l2kR02hTtg2dy3dWHUfklq2ddvfU/SvwZ6jqNGZFihtrZDDAxhHaf3dZIMNRZq5SiSJ81L4qX4dHczD6nuo4QjGDwUDofu0fwkmNJ8lwlLkrUU2b/yZiEVzZpzqN2ZDixhqdWAVR66Hzx1C4uOo0wgjebFae+mXdGb0qkqRUmfzLmm2M3si2mG1MajKJYs7FVMcRxtBkCPgEaHdPpT5UncYsSHFjbRJvwqbRUKsX1OyhOo0wElsbHfN6+3P7QSqzfpep263VreRbzDgwg07lO9GuXDvVcYSx2NhCjy/g4S3YFqI6jVmQ4saaGAywbijYOUGnuarTCCPz9SzE+E7V+H7/Ffaev6M6jihgBoOBkH0hONk6MSFgguo4wtiKVYR2U+HQV3Bxh+o0Jk+KG2ty9Hu4sBW6fQ4uHqrTiHzwakA5AisVY8zqSBJT0lXHEQVozYU17L2+l8lNJ+Pm6KY6jsgPDd6C8i20VjkpMjv580hxYy3iY2DzBKj7KlTpoDqNyCc2Njrm9PInMSWD0A2nVccRBeTGwxvMOTSHnpV60qJMC9VxRH6xsdFa5KQkaC1zxDNJcWMN9HpYOwSc3LQWC8KilS7qTHCXGqz86xrbo+JUxxH5TG/QExwejKuDK2MajlEdR+S3omWh4ww4+gOc3aw6jcmS4sYa/PU1RO+G7gu1AkdYvN4NytC6anHG/XaC+0nSm8aS/XL2Fw7EHmBq4FQKOxRWHUcUhLqvQeX2sP5DrYWOeIIUN5bu7kXYGgwN34aKrVWnEQVEp9Mx62U/0jL0hKw7pTqOyCcxiTF8cvgT+lbtS+OSjVXHEQVFp4Oun0FGKmz6SHUakyTFjSXTZ0LY+1DYC9pOUZ1GFDAvVyemdq/JusgbbDpxU3UcYWSZ+kyCwoPwdPZkZP2RquOIguZaEjrNg5Or4VSY6jQmR4obSxaxCK4e0LrLOsrpamvUzb8UHWt6ExR2kjsPU1XHEUb0/envOXbrGKGBobjYu6iOI1So3Quqd4WNI7U5cEQWKW4s1a0zWi+SJkOgXBPVaYQiOp2O0J610AETfjuBwWBQHUkYwcX4i3x+9HMG1BhAPa96quMIVXQ6rYUOOtgwQpvLTABS3FimzAyti6x7Oa0nibBqnoUdmd6zFltOxxF27LrqOCKPMvQZTNw7kdJFSvNB3Q9UxxGqFfKELp/AmQ1wfKXqNCZDihtLtPcTuHlc6yZr76w6jTABHWuVpEedUoSsPUVsQorqOCIPvj7xNWfunWF64HSc7JxUxxGmoEY3qN0Hfv8IEm+oTmMSpLixNDePw65Z0GwElKmvOo0wIVO61cLJ3paxvx6X4SkzdebeGZZELuHNWm9Su3ht1XGEKek0B+yctRY7cnxLcWNRMlK1rrHFq0HLsarTCBPj5mLP7Jf92HXuNr8cuqo6jsihtMw0Ju6dSIWiFRjsP1h1HGFqnN211joXtsGR71SnUU6KG0uyazbcPgs9l4Cdg+o0wgS1rlaCvg18mLbhNFfvJauOI3JgSeQSLiVcYkazGdjb2quOI0xRlfbaBH9/TID7V1SnUUqKG0tx7S/tWptWY8FbTleLZwvqUp2iLg6MWX0cvV5OX5uD47eP8/XJrxnkN4iqHlVVxxGmrMMM7SzO2iFa6x0rJcWNJUh/BGsGQck6EDhCdRph4oo42TO3lx8Rl+7yXcRl1XHEP0jJSGHi3onU8KjBW7XfUh1HmDonV6255uU9cGiZ6jTKSHFjCf4M1bp+91wCtnaq0wgz0LSSJwOblGPW5jNE30lSHUc8x+dHP+fGwxtMbzYdOxs5vkU2VGgJjd6FrSFaCx4rJMWNubuyT5uJuM0kKC6nq0X2jX2xGt6uToxaeYxMGZ4ySYfjDvP96e/5sN6HVChaQXUcYU7aTtZaNKwZpLXisTImUdwsWrQIX19fnJycCAgI4ODBg89cdtmyZTRv3hx3d3fc3d1p27btc5e3aKkPtbujfAKg8fuq0wgz4+Jgx7ze/hy9Gs9Xey6pjiP+Jjk9maC9QdQpUYdXq7+qOo4wNw6FtNY71w5BxELVaQqc8uLml19+YeTIkYSEhHDkyBH8/f3p0KEDt249vU/Gzp076devHzt27CAiIgIfHx/at2/P9etWOPPq1mCtn0iPL8DGVnUaYYYa+HrwTvMKzN9yjnNxD1THEf/j48MfczflLqGBodjK8S1yo2xjaPqBdunCrSjVaQqUzqB4Nq+AgAAaNmzIwoVaZanX6/Hx8WHo0KGMGzfuH1+fmZmJu7s7CxcuZMCAAf+4fGJiIm5ubiQkJODq6prn/Mpc/BO+76l1hW30juo0woylpGfS5fO9ONnbsOb9QOxtlX/nsXr7buzjva3vMSFgAv2q9VMdR5iz9BT4soU2W/3b28BKphFQ+imWlpbG4cOHadu2bdZzNjY2tG3bloiIiGytIzk5mfT0dDw8PJ7689TUVBITEx97mL2UBFj7AZRvCQ3k7gmRN072tszv7U/UzQd8scM6Lz40JQ/SHhAcHkxAyQD6Vu2rOo4wd/ZO0HMxxJ6APR+rTlNglBY3d+7cITMzEy8vr8ee9/LyIjY2NlvrGDt2LKVKlXqsQPpfM2fOxM3NLevh4+OT59zKbZ4AKYna7X428i1b5J2/T1Heb1WRz/88z8nrCarjWLU5h+bwMP0h05pOw0Ynx7cwgtL1oflI2D0HbhxTnaZAmPWRM2vWLFasWMGaNWtwcnp6A7nx48eTkJCQ9bh61cynnT+7GY79AB1nQlELKNSEyRj6QmUqexVh1MpIUjOs7+4KU7Dr6i7CLoQxtuFYShYuqTqOsCQtxkDx6tpNKBmpqtPkO6XFjaenJ7a2tsTFxT32fFxcHN7e3s997bx585g1axZbtmzBz8/vmcs5Ojri6ur62MNsJd+D9R9C5fZQV+6eEMblYGfDx338uXTnIQu2nVcdx+rEp8QzOWIyzUs3p0elHqrjCEtj56DNhXbnPOycqTpNvlNa3Dg4OFC/fn22b9+e9Zxer2f79u00adLkma+bM2cO06ZNY/PmzTRo0KAgopqGTaO1irvrZ6DTqU4jLFD1kq4Mb1uFL3dd5EjMfdVxrMqMAzNIy0xjctPJ6OT4FvnBuxa0Ggfhn8LVQ6rT5Cvlw1IjR45k2bJlfPvtt0RFRTF48GCSkpJ44403ABgwYADjx4/PWn727NlMmjSJb775Bl9fX2JjY4mNjeXhw4eq3kLBOLUGTv6q3R3lKqerRf55r0UFapcpyqiVkTxKk+GpgrDl8hZ+v/w7EwImUMKlhOo4wpIFDodSdSFsEKRZbvNc5cVN3759mTdvHsHBwdSpU4djx46xefPmrIuMY2JiuHnzZtbyixcvJi0tjV69elGyZMmsx7x581S9hfz38BZsGAnVu0HtXqrTCAtnZ2vD/N7+3Ih/xJw/zqiOY/HuPLrDtP3TaFeuHZ3Kd1IdR1g6WzvosQQSrsGf01SnyTfK57kpaGY3z43BAL+8CjH7YcgBKOSpOpGwEl/tuUToxih+fqcxTSoWUx3HIhkMBobvGM6x28dY030NHk5Pn9JCCKPbtxC2TITXN4JvM9VpjE75mRvxD47/Amc2QJdPpLARBeqNwPI08vXgo9WRPEzNUB3HIm24tIE/r/7JpMaTpLARBavxYCjbFMLeh1TLm51cihtTlnAdNo2B2n2gRjfVaYSVsbXRMbe3H3cfpjFjk3VN3V4QYpNimXlgJp0rdKZtuafP0yVEvrGxhR6LIOk2bJmkOo3RSXFjqgwGWDdUmzK70xzVaYSVKlesEBM6V+enAzHsOndbdRyLYTAYmLxvMs52zoxvNP6fXyBEfvCoAO2mwuF/w4VtqtMYlRQ3purIt3BxO3T7HJzdVacRVuzVgLI0q+TJ2NXHSXiUrjqORfj1/K+E3whnctPJuDm6qY4jrFmDt6BCK1g7FB7Fq05jNFLcmKL7V+CPiVD3NajSXnUaYeV0Oh2ze/mRlJrB1PWnVccxe9cfXmfuobm8XPllmpdprjqOsHY2NtBtIaQ9hM2WcxZRihtTo9fD2iHa2ZoOM1SnEQKA0kWdmdS1Br8eucbW03H//ALxVHqDnknhk3BzdGN0g9Gq4wihKeqjtfSJ/AnObFKdxiikuDE1B5fC5T1aU0wnM7hVXViN3vXL0KZaCcb/doJ7SWmq45iln8/8zKHYQ0wLnEZhh8Kq4wjxX3X6Q5WOsH4YJN1VnSbPpLgxJXcuwLbJ0OhdqNBSdRohHqPT6Zj5Um3SM/VMWntSdRyzcznhMgsOL6BftX4ElAxQHUeIx+l00PVTyEyDTaNUp8kzKW5MhT5T69bqWhLaTladRoinKuHqxLQetdh4/CbrI2+ojmM2MvWZBIUHUcKlBMPrDVcdR4inK+INnef/t92PGZPixlTs+xyuHYIei8GhkOo0QjxTV7+SdKrtzaS1J7n1IEV1HLPw7elvOX77OKHNQnGxd1EdR4hnq/Uy1OgOG0fBA/O9vk6KG1MQdxp2TIemQ6FsY9VphHgunU7HtO61sLPRMeG3k1hZB5ccu3D/AguPLmRgzYHULVFXdRwhnk+ng84fg40dbBiuzblmhqS4US0zXevO6lEBWk9UnUaIbClW2JHpPWuzLSqOX49cVx3HZKXr05mwdwJli5Tlg7ofqI4jRPYU8oQuC+DsJoj8WXWaXJHiRrU98yH2pDYcZe+kOo0Q2dahpjcv1S3NlPWnuBH/SHUck/TVia84d/8c05tNx9HWUXUcIbKvehfw+xf8Pk7rIG5mpLhR6cYx2D0Xmo+C0vVUpxEix0K61sTFwZaxvx6X4am/OX33NEsjl/J27bep6VlTdRwhcu7FWeDgorUCMrPjW4obVTJSYc0gKFEdWnykOo0QueLmYs/sl/3Yc/4OPx2MUR3HZKRlpjFx70QquVfiPb/3VMcRInec3bXZiy/+qfWfMiNS3KiycybcvQA9vwQ7B9VphMi1VlVL0K+RD9M3RhFzN1l1HJPwxbEvuJx4menNpmNva686jhC5V7kt1BsIfwTBvWjVabJNihsVrh6C8E+h1TjwktPVwvxN7FwDj0IOjF4diV5vXqevjS3ydiT/PvVvhtQZQhX3KqrjCJF3HaZDoWKw9gOtRZAZkOKmoKUla3dHlaoLgcNVpxHCKAo72jGnlx8Ho+/x732XVcdR5lHGI4L2BlGzWE1er/m66jhCGIdjEa0l0JW9cPBL1WmyRYqbgrZ9qnbleY8lYGunOo0QRtO0oievN/VlzuYzXLz9UHUcJT478hk3k24S2iwUOxs5voUFKd8CAgZpLYLunFed5h9JcVOQovfAgcXQJhiKy+lqYXnGdqxGqaLOjFoZSUameZy+NpZDsYf4IeoHPqz7IRXcKqiOI4TxtQkB19LazTCZGarTPJcUNwUl9QGsfR/KNoWAwarTCJEvnB1smdfbj+PX4lm655LqOAUmKT2JSeGTqFeiHq/WeFV1HCHyh4OLNifbjSOw7zPVaZ5LipuCsiVIayPfYxHYyG4Xlqt+OQ/eaVGBT7ae40xsouo4BWLeX/O4l3KP0MBQbHRyfAsLVjZAaxW0YwbEnVKd5pnkKCwIF7bB4eXQfqrWZkEICzeibRXKexZi1MpI0jIse3gq/Ho4q8+tZlT9Ufi4+qiOI0T+azUBilXShqcy0lSneSopbvLbo3hYOxQqtIYGb6lOI0SBcLK3ZX7vOpyJfcDCHRdUx8k3iWmJBO8LpknJJvSp2kd1HCEKhr0T9FysnbnZM091mqeS4ia/bR4HaQ+h+0Kt26oQVqJ2GTeGtK7Eoh0XOHEtQXWcfDH74GyS05OZGjgVnRzfwpqUqqvNrr97Htw4qjrNE6S4yU9nNmodVTvOArcyqtMIUeA+aF2Jat5FGLnyGCnpmarjGNWfMX+y7uI6xjYai3chb9VxhCh4LUZrE9GuGQTpKarTPEaKm/ySdBfWD4MqHaHOK6rTCKGEg50N8/v4c+VuMp9sO6c6jtHcT7nPlIgptCzTku4Vu6uOI4QatvZaC6F7l2DnDNVpHiPFTX7ZOBL0GdD1UxmOElatmrcrw9tVZunuSxy+ck91HKMI3R9KpiGTkCYhMhwlrJtXDWg9AcI/g5gDqtNkkeImP5z8FU6HQad5UEROVwvxbvMK1PEpyqiVkSSnmfbkX/9kc/RmtlzZwsSAiRR3Ka46jhDqNf0QyjTQWgulJalOA0hxY3wP4mDjKKjRA2q9rDqNECbBztaGeb39uZmQwpzNZ1XHybU7j+4QeiCU9uXa09G3o+o4QpgGG1utpVDiTdg2RXUaQIob4zIYYP2HYGMHnT+W4Sgh/kfF4oUZ27Eay/ddZt/FO6rj5JjBYGDyvsnY6mwJahwkw1FC/C/PStA2RGusGb1bdRopbozq2E9wbjN0WaC1hxdCPOb1pr4ElPfgo1XHeZCSrjpOjqy9uJZd13YR3CQYdyd31XGEMD2N3oNyzSBsCKSonZ1cihtjSbimzWnj9y+o3kV1GiFMko2Njnm9/bmfnMaMTVGq42RbbFIssw/OpmuFrrQp20Z1HCFMk42N1mLo0T2t5ZDKKEq3bikMBlj7ATgUhhdnqU4jhEnz8XBhYufq/HzwKjvP3lId5x8ZDAaCw4NxsXNhbKOxquMIYdrcfaF9KBz5Fs5vUxZDihtj+OsbuLQDun0OznK6Woh/8kqjsjSv7MnYX4+TkGzaw1Orzq0i4mYEUwKn4ObopjqOEKav/utQsQ2s+wAe3VcSQYqbvLoXDVsmaX+ZlduqTiOEWdDpdMzp5UdyWiZT1ptuZ+GrD64y7695vFz5ZZqVbqY6jhDmQafTvuynJcPv45REkOImL/R6WDtEu3i4fajqNEKYlZJuzkzuWpPfjl7nj1OxquM8QW/QMyl8Eh5OHnzU8CPVcYQwL26l4cXZcHwFRG0o8M1LcZMXB5bAlXDo/gU4FlGdRgiz81K90rSt7sXENSe4+zBVdZzH/Bj1I4fjDjMtcBqF7AupjiOE+fH/F1TtDBuGQ1LBTv8gxU1u3TkP26dAwCAo31x1GiHMkk6nY8ZLtcjUG5i09iQGg0F1JACiE6L59Min9K/en4beDVXHEcI86XTQdQHoM7WWRAV4fEtxkxuZGVoXVNfS0CZEdRohzFqJIk5M61GLTSdiWX/8puo4ZOgzCNobhHchb4bVG6Y6jhDmrXAJ6PIxnF6rtSYqIFLc5Ma+T+HGEei5BBxcVKcRwux18StFF7+STAo7ya3EFKVZlp9azsm7JwkNDMXZzllpFiEsQs2eUPMlrTXRg4K5vk6Km5yKOwU7ZkLToeDTSHUaISzGtO61sLe1YfxvJ5QNT527f45Fxxbxes3XqVOijpIMQlikzvPBzhHWDyuQ4SkpbnIiIw3WvAfFKkHriarTCGFR3As5MPOl2mw/c4tVh68V+PbTM9OZuHcivq6+DKkzpMC3L4RFc/GArp9qLYqO/Zjvm5PiJif2zINbUdBzsVaBCiGMql0NL3rVL8O09ae5Hv+oQLe99MRSLty/wPRm03GwdSjQbQthFaq+CHX6w+bxEH81XzclxU12XT8Cu+dB89FQqq7qNEJYrOCuNSjsZMfY1ccLbHjq1J1TLDu+jHf93qVGsRoFsk0hrFLHmdrUKes+yNfhKSlusiM9BcIGg1dNaDFadRohLJqrkz2zX/Zj74U7/HAgJt+3l5qZysS9E6niXoW3/d7O9+0JYdWc3LTZiy/thL++zrfNSHGTHTtnwL1L0PNLsLVXnUYIi9eiSnH6B5Rl5qYortxNytdtLTq2iJgHMUxvNh17Gzm+hch3ldpAgzdhS7D2b2s+kOLmn8QcgPDPoPUE8JLT1UIUlAmdqlOssAMfrTqOXp8/p6+P3TrG8pPLGVJnCJXdK+fLNoQQT9FuGhTyhLAhWisjI5Pi5nnSkiBsEJRpAE0/VJ1GCKtSyNGOeb38OXTlHt+ERxt9/cnpyUzcOxG/4n68XvN1o69fCPEcjoWhx2KIiYADi42+eilunmfbFEi8CT2WgI2t6jRCWJ2ACsV4o2l55vxxlgu3Hhp13Z8e+ZRbybcIDQzFVo5vIQqebyA0Hqz9W3v7nFFXLcXNs0TvhoNfQtvJ4FlJdRohrNaYjlUp4+7MqFWRZGQa5/T1wZsH+enMTwyvPxxfN1+jrFMIkQttgqFoWW2UJDPDaKuV4uZpUhK1cUDf5tDoXdVphLBqTva2zO/tz4lr8Xy5O+8XHz5Me8ik8Ek09G5Iv2r9jJBQCJFr9s5aK6MbRyF8gdFWK8XN02wJgkf3oPtCsJFdJIRqdcu6M6hlRRZsO8fpG4l5Wte8v+YRnxrP1KZTsdHJ8S2EcmUaQOBw2DkLYk8aZZVyZP/d+a1w5FtoHwruvqrTCCH+37C2lalYvDCjVkWSlpG74ak91/bw6/lfGd1wNGWKlDFyQiFErrUaB55VYM0grdVRHklx878e3Yd1Q6FiG6j/uuo0Qoj/4Whny7ze/pyPe8Dnf57P8esTUhOYvG8ygaUC6VW5Vz4kFELkmp2j1trodhTsnpvn1Ulx879+HwtpydrsiTqd6jRCiL+pVdqNoS9U5oudF4m8Gp+j1846OItHGY+Y3HQyOjm+hTA9Jf2hxRjYMx+uH87TqqS4+Y+o9XD8F+g0B9xKq04jhHiG91tXpEZJV0atiiQlPTNbr9l+ZTsbLm1gfMB4vAt553NCIUSuNR8J3rVhzWCt9VEuSXEDkHQH1g+Hqp3Br6/qNEKI57C3tWF+H39i7ibz8dZ/nhvjXso9pu6fSmuf1nSp0KUAEgohcs3WXrt76n407AjN9WqkuDEYYMMIMOih6wIZjhLCDFTxKsKo9lVYtucShy7fe+ZyBoOB0P2h6A16gpsEy3CUEOagRHV4IQj2LYSY/blahRQ3J3+FqHXQ5WMoXEJ1GiFENr3dvAL1yrrzznd/se103BM/T05PJig8iK1XthLUOAhPZ08FKYUQudLkA/BppN09lZbz5rnWXdw8iIWNo6DmS1Czp+o0QogcsLXR8dWABtQv687b3/3F1PWns24RP3vvLH039GXrla1MbzadDr4dFKcVQuSIja3We+pBLGybnOOX6wwGQ/602zVRiYmJuLm5kRAfj+uGd7RZEYccABcP1dGEELlgMBj4Jvwys36Poqp3ETo3jear05/i6+bLvJbzKO9WXnVEIURuHfgSfh8DA9ZChVbZfplJnLlZtGgRvr6+ODk5ERAQwMGDB5+7/KpVq6hWrRpOTk7Url2bTZs25Xyjx1fC+T+g22dS2AhhxnQ6HW81K893b9fmhsOXfHFyLnU9OvBT55+ksBHC3DV8R2uFtPYDrTVSNikvbn755RdGjhxJSEgIR44cwd/fnw4dOnDr1q2nLr9v3z769evHW2+9xdGjR+nRowc9evTg5MkcTtm8NQTq9IeqLxrhXQghVDp++zhTjryDY5GL1LQbyrY9gYSEneVRWvZuFRdCmCgbG+i+SJtk948J2X6Z8mGpgIAAGjZsyMKFCwHQ6/X4+PgwdOhQxo0b98Tyffv2JSkpiQ0bNmQ917hxY+rUqcOSJUv+cXtZw1LTq+A68iA4uRnvzQghCpTeoOfbU9/y2ZHPqOFZgzkt5lCqUCl+OXSVyetPUdbDhYWv1KOKVxHVUYUQeXH4W1j/IUxOyNbidvkc57nS0tI4fPgw48ePz3rOxsaGtm3bEhER8dTXREREMHLkyMee69ChA2FhYU9dPjU1ldTU1Kw/JyRoO6apiy2237XI4zsQQqhkwECGPoPXqr/Gu/7vYq+358GDB3SqVpQqHn6MXhVJu9mbsZMGuEKYuUJ8bluLZomJFClS5B+ndVBa3Ny5c4fMzEy8vLwee97Ly4szZ8489TWxsbFPXT42Nvapy8+cOZMpU6Y88fypEVG5TC2EMDUT/v9/QgjL1RlgjhsJCQm4uro+d1mlxU1BGD9+/GNneuLj4ylXrhwxMTG4ucmQVF4lJibi4+PD1atX//GXTfwz2Z/GJfvT+GSfGpfsz5wrUuSfh5mVFjeenp7Y2toSF/f4BFxxcXF4ez+9/4u3t3eOlnd0dMTR0fGJ593c3OQXyYhcXV1lfxqR7E/jkv1pfLJPjUv2p3EpHYh2cHCgfv36bN++Pes5vV7P9u3badKkyVNf06RJk8eWB9i6deszlxdCCCGEdVE+LDVy5EgGDhxIgwYNaNSoEQsWLCApKYk33ngDgAEDBlC6dGlmzpwJwLBhw2jZsiXz58+nc+fOrFixgr/++oulS5eqfBtCCCGEMBHKi5u+ffty+/ZtgoODiY2NpU6dOmzevDnrouGYmBhs/udOh6ZNm/LTTz8RFBTEhAkTqFy5MmFhYdSqVStb23N0dCQkJOSpQ1Ui52R/GpfsT+OS/Wl8sk+NS/Zn/lA+z40QQgghhDHJ5A9CCCGEsChS3AghhBDCokhxI4QQQgiLIsWNEEIIISyKRRQ3ixYtwtfXFycnJwICAjh48OBzl1+1ahXVqlXDycmJ2rVrs2nTpsd+bjAYCA4OpmTJkjg7O9O2bVvOnz+fn2/BpBh7f77++uvodLrHHh07dszPt2BScrI/T506xcsvv4yvry86nY4FCxbkeZ2Wxtj7c/LkyU/8flarVi0f34Fpycn+XLZsGc2bN8fd3R13d3fatm37xPLy+Wnc/Wntn5+5ZjBzK1asMDg4OBi++eYbw6lTpwzvvPOOoWjRooa4uLinLh8eHm6wtbU1zJkzx3D69GlDUFCQwd7e3nDixImsZWbNmmVwc3MzhIWFGSIjIw3dunUzlC9f3vDo0aOCelvK5Mf+HDhwoKFjx46GmzdvZj3u3btXUG9JqZzuz4MHDxpGjx5t+Pnnnw3e3t6GTz75JM/rtCT5sT9DQkIMNWvWfOz38/bt2/n8TkxDTvfnK6+8Yli0aJHh6NGjhqioKMPrr79ucHNzM1y7di1rGfn8NO7+tObPz7ww++KmUaNGhiFDhmT9OTMz01CqVCnDzJkzn7p8nz59DJ07d37suYCAAMN7771nMBgMBr1eb/D29jbMnTs36+fx8fEGR0dHw88//5wP78C0GHt/Ggzawdm9e/d8yWvqcro//1e5cuWe+o9xXtZp7vJjf4aEhBj8/f2NmNJ85PV3KSMjw1CkSBHDt99+azAY5PPT2PvTYLDuz8+8MOthqbS0NA4fPkzbtm2znrOxsaFt27ZEREQ89TURERGPLQ/QoUOHrOWjo6OJjY19bBk3NzcCAgKeuU5LkR/78z927txJiRIlqFq1KoMHD+bu3bvGfwMmJjf7U8U6zUV+vvfz589TqlQpKlSoQP/+/YmJiclrXJNnjP2ZnJxMeno6Hh4egHx+Gnt//oc1fn7mlVkXN3fu3CEzMzNrNuP/8PLyIjY29qmviY2Nfe7y//n/nKzTUuTH/gTo2LEj3333Hdu3b2f27Nns2rWLF198kczMTOO/CROSm/2pYp3mIr/ee0BAAMuXL2fz5s0sXryY6OhomjdvzoMHD/Ia2aQZY3+OHTuWUqVKZf2DLp+fxt2fYL2fn3mlvP2CsHz/+te/sv67du3a+Pn5UbFiRXbu3EmbNm0UJhMCXnzxxaz/9vPzIyAggHLlyrFy5UreeusthclM26xZs1ixYgU7d+7EyclJdRyz96z9KZ+fuWPWZ248PT2xtbUlLi7usefj4uLw9vZ+6mu8vb2fu/x//j8n67QU+bE/n6ZChQp4enpy4cKFvIc2YbnZnyrWaS4K6r0XLVqUKlWqyO/nc8ybN49Zs2axZcsW/Pz8sp6Xz0/j7s+nsZbPz7wy6+LGwcGB+vXrs3379qzn9Ho927dvp0mTJk99TZMmTR5bHmDr1q1Zy5cvXx5vb+/HlklMTOTAgQPPXKelyI/9+TTXrl3j7t27lCxZ0jjBTVRu9qeKdZqLgnrvDx8+5OLFi/L7+Qxz5sxh2rRpbN68mQYNGjz2M/n8NO7+fBpr+fzMM9VXNOfVihUrDI6Ojobly5cbTp8+bXj33XcNRYsWNcTGxhoMBoPhtddeM4wbNy5r+fDwcIOdnZ1h3rx5hqioKENISMhTbwUvWrSoYe3atYbjx48bunfvblW3Mhpzfz548MAwevRoQ0REhCE6Otqwbds2Q7169QyVK1c2pKSkKHmPBSmn+zM1NdVw9OhRw9GjRw0lS5Y0jB492nD06FHD+fPns71OS5Yf+3PUqFGGnTt3GqKjow3h4eGGtm3bGjw9PQ23bt0q8PdX0HK6P2fNmmVwcHAwrF69+rFbkx88ePDYMvL5aZz9ae2fn3lh9sWNwWAwfP7554ayZcsaHBwcDI0aNTLs378/62ctW7Y0DBw48LHlV65caahSpYrBwcHBULNmTcPGjRsf+7lerzdMmjTJ4OXlZXB0dDS0adPGcPbs2YJ4KybBmPszOTnZ0L59e0Px4sUN9vb2hnLlyhneeecdq/iH+D9ysj+jo6MNwBOPli1bZnudls7Y+7Nv376GkiVLGhwcHAylS5c29O3b13DhwoUCfEdq5WR/litX7qn7MyQkJGsZ+fw03v6Uz8/c0xkMBkPBnisSQgghhMg/Zn3NjRBCCCHE30lxI4QQQgiLIsWNEEIIISyKFDdCCCGEsChS3AghhBDCokhxI4QQQgiLIsWNEEIIISyKFDdCCCGEsChS3AghLNbly5fR6XQcO3ZMdRQhRAGS4kYIIYQQFkWKGyGEEEJYFCluhBBmbfPmzTRr1oyiRYtSrFgxunTpwsWLF1XHEkIoJMWNEMKsJSUlMXLkSP766y+2b9+OjY0NPXv2RK/Xq44mhFBEuoILISzKnTt3KF68OCdOnKBw4cKUL1+eo0ePUqdOHdXRhBAFRM7cCCHM2vnz5+nXrx8VKlTA1dUVX19fAGJiYtQGE0IoY6c6gBBC5EXXrl0pV64cy5Yto1SpUuj1emrVqkVaWprqaEIIRaS4EUKYrbt373L27FmWLVtG8+bNAdi7d6/iVEII1aS4EUKYLXd3d4oVK8bSpUspWbIkMTExjBs3TnUsIYRics2NEMJs2djYsGLFCg4fPkytWrUYMWIEc+fOVR1LCKGY3C0lhBBCCIsiZ26EEEIIYVGkuBFCCCGERZHiRgghxP+1WwcyAAAAAIP8re/xFUWwIjcAwIrcAAArcgMArMgNALAiNwDAitwAACtyAwCsyA0AsBLP7pxPGSRyJAAAAABJRU5ErkJggg==", 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", 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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==", 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", 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" ] @@ -882,7 +583,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -900,51 +601,51 @@ "[IF (al[low] AND ti[low]) AND temp[high] THEN density[lower]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", + " IF (al[average] AND ti[low]) AND temp[low] THEN density[low]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (al[low] AND ti[average]) AND temp[low] THEN density[low]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", " IF (al[low] AND ti[low]) AND temp[average] THEN density[lower]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", " IF (al[low] AND ti[low]) AND temp[low] THEN density[low]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", - " IF al[high] AND temp[high] THEN density[average]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF al[high] AND temp[average] THEN density[high]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF al[high] AND temp[low] THEN density[high]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (al[low] AND ti[average]) AND temp[high] THEN density[low]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (al[low] AND ti[average]) AND temp[average] THEN density[low]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (al[low] AND ti[average]) AND temp[low] THEN density[low]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (al[low] AND ti[high]) AND temp[high] THEN density[high]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (al[low] AND ti[high]) AND temp[average] THEN density[higher]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (al[low] AND ti[high]) AND temp[low] THEN density[higher]\n", + " IF (al[average] AND ti[low]) AND temp[average] THEN density[low]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", " IF (al[average] AND ti[low]) AND temp[high] THEN density[lower]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", - " IF (al[average] AND ti[low]) AND temp[average] THEN density[low]\n", + " IF (al[low] AND ti[average]) AND temp[average] THEN density[low]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", - " IF (al[average] AND ti[low]) AND temp[low] THEN density[low]\n", + " IF (al[low] AND ti[average]) AND temp[high] THEN density[low]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (al[low] AND ti[high]) AND temp[low] THEN density[higher]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (al[low] AND ti[high]) AND temp[average] THEN density[higher]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (al[low] AND ti[high]) AND temp[high] THEN density[high]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF al[high] AND temp[low] THEN density[high]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF al[high] AND temp[average] THEN density[high]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF al[high] AND temp[high] THEN density[average]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax]" ] }, - "execution_count": 11, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -953,7 +654,7 @@ "from src.rules import get_fuzzy_rules\n", "\n", "fuzzy_variables = {\"Al2O3\": al, \"TiO2\": ti, \"T\": temp, \"consequent\": density}\n", - "fuzzy_rules = get_fuzzy_rules(clustered_rules, fuzzy_variables)\n", + "fuzzy_rules = get_fuzzy_rules(rules, fuzzy_variables)\n", "\n", "fuzzy_cntrl = ctrl.ControlSystem(fuzzy_rules)\n", "\n", @@ -965,7 +666,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -1005,6 +706,32 @@ " density[lower] : 0.0\n", "\n", "RULE #1:\n", + " IF (al[average] AND ti[low]) AND temp[low] THEN density[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - al[average] : 0.0\n", + " - ti[low] : 1.0\n", + " - temp[low] : 0.8\n", + " (al[average] AND ti[low]) AND temp[low] = 0.0\n", + " Activation (THEN-clause):\n", + " density[low] : 0.0\n", + "\n", + "RULE #2:\n", + " IF (al[low] AND ti[average]) AND temp[low] THEN density[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - al[low] : 1.0\n", + " - ti[average] : 0.0\n", + " - temp[low] : 0.8\n", + " (al[low] AND ti[average]) AND temp[low] = 0.0\n", + " Activation (THEN-clause):\n", + " density[low] : 0.0\n", + "\n", + "RULE #3:\n", " IF (al[low] AND ti[low]) AND temp[average] THEN density[lower]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", @@ -1017,7 +744,7 @@ " Activation (THEN-clause):\n", " density[lower] : 0.2\n", "\n", - "RULE #2:\n", + "RULE #4:\n", " IF (al[low] AND ti[low]) AND temp[low] THEN density[low]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", @@ -1030,55 +757,32 @@ " Activation (THEN-clause):\n", " density[low] : 0.8\n", "\n", - "RULE #3:\n", - " IF al[high] AND temp[high] THEN density[average]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - al[high] : 0.0\n", - " - temp[high] : 0.0\n", - " al[high] AND temp[high] = 0.0\n", - " Activation (THEN-clause):\n", - " density[average] : 0.0\n", - "\n", - "RULE #4:\n", - " IF al[high] AND temp[average] THEN density[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - al[high] : 0.0\n", - " - temp[average] : 0.2\n", - " al[high] AND temp[average] = 0.0\n", - " Activation (THEN-clause):\n", - " density[high] : 0.0\n", - "\n", "RULE #5:\n", - " IF al[high] AND temp[low] THEN density[high]\n", + " IF (al[average] AND ti[low]) AND temp[average] THEN density[low]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", " Aggregation (IF-clause):\n", - " - al[high] : 0.0\n", - " - temp[low] : 0.8\n", - " al[high] AND temp[low] = 0.0\n", - " Activation (THEN-clause):\n", - " density[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF (al[low] AND ti[average]) AND temp[high] THEN density[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - al[low] : 1.0\n", - " - ti[average] : 0.0\n", - " - temp[high] : 0.0\n", - " (al[low] AND ti[average]) AND temp[high] = 0.0\n", + " - al[average] : 0.0\n", + " - ti[low] : 1.0\n", + " - temp[average] : 0.2\n", + " (al[average] AND ti[low]) AND temp[average] = 0.0\n", " Activation (THEN-clause):\n", " density[low] : 0.0\n", "\n", + "RULE #6:\n", + " IF (al[average] AND ti[low]) AND temp[high] THEN density[lower]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - al[average] : 0.0\n", + " - ti[low] : 1.0\n", + " - temp[high] : 0.0\n", + " (al[average] AND ti[low]) AND temp[high] = 0.0\n", + " Activation (THEN-clause):\n", + " density[lower] : 0.0\n", + "\n", "RULE #7:\n", " IF (al[low] AND ti[average]) AND temp[average] THEN density[low]\n", "\tAND aggregation function : fmin\n", @@ -1093,30 +797,30 @@ " density[low] : 0.0\n", "\n", "RULE #8:\n", - " IF (al[low] AND ti[average]) AND temp[low] THEN density[low]\n", + " IF (al[low] AND ti[average]) AND temp[high] THEN density[low]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", " Aggregation (IF-clause):\n", " - al[low] : 1.0\n", " - ti[average] : 0.0\n", - " - temp[low] : 0.8\n", - " (al[low] AND ti[average]) AND temp[low] = 0.0\n", + " - temp[high] : 0.0\n", + " (al[low] AND ti[average]) AND temp[high] = 0.0\n", " Activation (THEN-clause):\n", " density[low] : 0.0\n", "\n", "RULE #9:\n", - " IF (al[low] AND ti[high]) AND temp[high] THEN density[high]\n", + " IF (al[low] AND ti[high]) AND temp[low] THEN density[higher]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", " Aggregation (IF-clause):\n", " - al[low] : 1.0\n", " - ti[high] : 0.0\n", - " - temp[high] : 0.0\n", - " (al[low] AND ti[high]) AND temp[high] = 0.0\n", + " - temp[low] : 0.8\n", + " (al[low] AND ti[high]) AND temp[low] = 0.0\n", " Activation (THEN-clause):\n", - " density[high] : 0.0\n", + " density[higher] : 0.0\n", "\n", "RULE #10:\n", " IF (al[low] AND ti[high]) AND temp[average] THEN density[higher]\n", @@ -1132,56 +836,53 @@ " density[higher] : 0.0\n", "\n", "RULE #11:\n", - " IF (al[low] AND ti[high]) AND temp[low] THEN density[higher]\n", + " IF (al[low] AND ti[high]) AND temp[high] THEN density[high]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", " Aggregation (IF-clause):\n", " - al[low] : 1.0\n", " - ti[high] : 0.0\n", - " - temp[low] : 0.8\n", - " (al[low] AND ti[high]) AND temp[low] = 0.0\n", + " - temp[high] : 0.0\n", + " (al[low] AND ti[high]) AND temp[high] = 0.0\n", " Activation (THEN-clause):\n", - " density[higher] : 0.0\n", + " density[high] : 0.0\n", "\n", "RULE #12:\n", - " IF (al[average] AND ti[low]) AND temp[high] THEN density[lower]\n", + " IF al[high] AND temp[low] THEN density[high]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", " Aggregation (IF-clause):\n", - " - al[average] : 0.0\n", - " - ti[low] : 1.0\n", - " - temp[high] : 0.0\n", - " (al[average] AND ti[low]) AND temp[high] = 0.0\n", + " - al[high] : 0.0\n", + " - temp[low] : 0.8\n", + " al[high] AND temp[low] = 0.0\n", " Activation (THEN-clause):\n", - " density[lower] : 0.0\n", + " density[high] : 0.0\n", "\n", "RULE #13:\n", - " IF (al[average] AND ti[low]) AND temp[average] THEN density[low]\n", + " IF al[high] AND temp[average] THEN density[high]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", " Aggregation (IF-clause):\n", - " - al[average] : 0.0\n", - " - ti[low] : 1.0\n", + " - al[high] : 0.0\n", " - temp[average] : 0.2\n", - " (al[average] AND ti[low]) AND temp[average] = 0.0\n", + " al[high] AND temp[average] = 0.0\n", " Activation (THEN-clause):\n", - " density[low] : 0.0\n", + " density[high] : 0.0\n", "\n", "RULE #14:\n", - " IF (al[average] AND ti[low]) AND temp[low] THEN density[low]\n", + " IF al[high] AND temp[high] THEN density[average]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", " Aggregation (IF-clause):\n", - " - al[average] : 0.0\n", - " - ti[low] : 1.0\n", - " - temp[low] : 0.8\n", - " (al[average] AND ti[low]) AND temp[low] = 0.0\n", + " - al[high] : 0.0\n", + " - temp[high] : 0.0\n", + " al[high] AND temp[high] = 0.0\n", " Activation (THEN-clause):\n", - " density[low] : 0.0\n", + " density[average] : 0.0\n", "\n", "\n", "==============================\n", @@ -1233,7 +934,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -1440,7 +1141,7 @@ "14 70 0.05 0.0 1.05291 1.05291 1.047191 0.005719" ] }, - "execution_count": 22, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -1470,7 +1171,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -1699,7 +1400,7 @@ "16 70 0.00 0.30 1.17261 1.17261 1.172492 0.000" ] }, - "execution_count": 26, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -1716,7 +1417,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -1728,7 +1429,7 @@ " 'R2_test': 0.978451748357252}" ] }, - "execution_count": 25, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -1748,6 +1449,306 @@ "\n", "rmetrics" ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['(Al2O3 <= 0.175)', '(Al2O3 > 0.025)', '(Al2O3 > 0.175)', '(TiO2 <= 0.175)', '(TiO2 > 0.025)', '(TiO2 > 0.175)']\n" + ] + }, + { + "data": { + "text/html": [ + "
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(Al2O3 <= 0.175)(Al2O3 > 0.025)(Al2O3 > 0.175)(TiO2 <= 0.175)(TiO2 > 0.025)(TiO2 > 0.175)consequent
rule
if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) -> 1.0331001001.0333299999999999
if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 62.5) -> 1.0381001001.03826
if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T <= 32.5) -> 1.0881101001.08755
if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) -> 1.0911001101.09098
if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 22.5) -> 1.0881001101.08775
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" + ], + "text/plain": [ + " (Al2O3 <= 0.175) \\\n", + "rule \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1 \n", + "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 1 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 1 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 1 \n", + "\n", + " (Al2O3 > 0.025) \\\n", + "rule \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", + "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 1 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 0 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 0 \n", + "\n", + " (Al2O3 > 0.175) \\\n", + "rule \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", + "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 0 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 0 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 0 \n", + "\n", + " (TiO2 <= 0.175) \\\n", + "rule \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1 \n", + "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 1 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 1 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 1 \n", + "\n", + " (TiO2 > 0.025) \\\n", + "rule \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", + "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 0 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 1 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 1 \n", + "\n", + " (TiO2 > 0.175) \\\n", + "rule \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 0 \n", + "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 0 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 0 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 0 \n", + "\n", + " consequent \n", + "rule \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1.0333299999999999 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T ... 1.03826 \n", + "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (Ti... 1.08755 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 1.09098 \n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (Ti... 1.08775 " + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from src.rules import get_features, vectorize_rules\n", + "\n", + "features = get_features(for_cluster, [\"T\"])\n", + "print(features)\n", + "\n", + "df_rules = vectorize_rules(for_cluster, features)\n", + "df_rules.head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/user/Projects/python/fuzzy-rules-generator/.venv/lib/python3.12/site-packages/sklearn/base.py:1473: ConvergenceWarning: Number of distinct clusters (5) found smaller than n_clusters (6). Possibly due to duplicate points in X.\n", + " return fit_method(estimator, *args, **kwargs)\n" + ] + }, + { + "data": { + "text/plain": [ + "{2: 0.3980189385393544,\n", + " 3: 0.6922181892757754,\n", + " 4: 0.8221763769597347,\n", + " 5: 1.0,\n", + " 6: 1.0}" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "'The best clusters count is 5'" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from src.cluster_helper import draw_best_clusters_plot, get_best_clusters_num\n", + "\n", + "random_state = 9\n", + "\n", + "X = df_rules.copy()\n", + "X = X.drop([\"consequent\"], axis=1)\n", + "\n", + "clusters_score = get_best_clusters_num(X, random_state)\n", + "display(clusters_score)\n", + "\n", + "draw_best_clusters_plot(clusters_score)\n", + "\n", + "clusters_num = sorted(clusters_score.items(), key=lambda x: x[1], reverse=True)[0][0]\n", + "display(f\"The best clusters count is {clusters_num}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Кластер 1 (5):\n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) -> 1.033;\n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 62.5) -> 1.038;\n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 55.0) -> 1.048;\n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) and (T > 22.5) -> 1.06;\n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (T <= 32.5) -> 1.062\n", + "--------\n", + "Кластер 2 (4):\n", + "if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) -> 1.219;\n", + "if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T <= 40.0) and (T > 30.0) -> 1.208;\n", + "if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) and (T <= 60.0) -> 1.193;\n", + "if (Al2O3 <= 0.175) and (TiO2 > 0.175) and (T > 40.0) -> 1.178\n", + "--------\n", + "Кластер 3 (5):\n", + "if (Al2O3 > 0.175) and (T <= 35.0) -> 1.189;\n", + "if (Al2O3 > 0.175) and (T <= 35.0) and (T > 22.5) -> 1.182;\n", + "if (Al2O3 > 0.175) and (T > 35.0) and (T <= 52.5) -> 1.166;\n", + "if (Al2O3 > 0.175) and (T > 35.0) and (T <= 65.0) -> 1.155;\n", + "if (Al2O3 > 0.175) and (T > 35.0) -> 1.144\n", + "--------\n", + "Кластер 4 (6):\n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) -> 1.091;\n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 22.5) -> 1.088;\n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T <= 32.5) and (T > 27.5) -> 1.084;\n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 50.0) -> 1.079;\n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) and (T <= 67.5) -> 1.062;\n", + "if (Al2O3 <= 0.175) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (T > 32.5) -> 1.056\n", + "--------\n", + "Кластер 5 (4):\n", + "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T <= 32.5) -> 1.088;\n", + "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 60.0) -> 1.067;\n", + "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) and (T <= 67.5) -> 1.057;\n", + "if (Al2O3 <= 0.175) and (Al2O3 > 0.025) and (TiO2 <= 0.175) and (T > 32.5) -> 1.053\n", + "--------\n" + ] + } + ], + "source": [ + "from sklearn import cluster\n", + "\n", + "from src.cluster_helper import print_cluster_result\n", + "\n", + "kmeans = cluster.KMeans(n_clusters=clusters_num, random_state=random_state)\n", + "kmeans.fit(X)\n", + "\n", + "print_cluster_result(X, clusters_num, kmeans.labels_)" + ] } ], "metadata": { @@ -1766,7 +1767,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.7" + "version": "3.12.9" } }, "nbformat": 4, diff --git a/src/rules.py b/src/rules.py index 00a2e0f..c03dda2 100644 --- a/src/rules.py +++ b/src/rules.py @@ -288,6 +288,26 @@ def simplify_and_group_rules( return new_rules +def simplify_rules(X: pd.DataFrame, rules: List[Rule]) -> List[Rule]: + minmax = _get_variables_minmax(X) + + new_rules: List[Rule] = [] + for rule in rules: + intervals = _get_varibles_interval(rule.get_antecedent()) + new_atoms = [] + for key, value in intervals.items(): + val: float = 0 + if value[0] is None and value[1] is not None: + val = minmax[key][0] + if value[1] is None and value[0] is not None: + val = minmax[key][1] + if value[0] is not None and value[1] is not None: + val = (value[0] + value[1]) / 2 + new_atoms.append(RuleAtom(key, ComparisonType.EQUALS, val)) + new_rules.append(Rule(new_atoms, rule.get_consequent())) + return new_rules + + def _get_fuzzy_rule_atom( fuzzy_variable: FuzzyVariable, value: float ) -> Tuple[Term, float]: @@ -299,6 +319,30 @@ def _get_fuzzy_rule_atom( return (fuzzy_variable[best_value[0]], best_value[1]) +def simplify_rules_fuzz( + X: pd.DataFrame, + rules: List[Rule], + fuzzy_variables: Dict[str, FuzzyVariable], +) -> List[Rule]: + minmax = _get_variables_minmax(X) + + new_rules: List[Rule] = [] + for rule in rules: + intervals = _get_varibles_interval(rule.get_antecedent()) + new_atoms = [] + for key, value in intervals.items(): + val: float = 0 + if value[0] is None and value[1] is not None: + val = minmax[key][0] + if value[1] is None and value[0] is not None: + val = minmax[key][1] + if value[0] is not None and value[1] is not None: + val = (value[0] + value[1]) / 2 + new_atoms.append(RuleAtom(key, ComparisonType.EQUALS, val)) + new_rules.append(Rule(new_atoms, rule.get_consequent())) + return new_rules + + def _get_fuzzy_rules( rules: List[Rule], fuzzy_variables: Dict[str, FuzzyVariable] ) -> List[Tuple[List[RuleAtom], Term, float]]: @@ -328,11 +372,11 @@ def _get_fuzzy_rules( def _delete_same_fuzzy_rules( - rules_cluster: List[Tuple[List[RuleAtom], Term, float]] + rules: List[Tuple[List[RuleAtom], Term, float]] ) -> List[Tuple[List[RuleAtom], Term, float]]: same_rules: List[int] = [] - for rule1_index, rule1 in enumerate(rules_cluster): - for rule2_index, rule2 in enumerate(rules_cluster): + for rule1_index, rule1 in enumerate(rules): + for rule2_index, rule2 in enumerate(rules): if rule1_index >= rule2_index: continue # Remove the same rules @@ -347,10 +391,10 @@ def _delete_same_fuzzy_rules( if str(rule1[0]) == str(rule2[0]) and str(rule1[2]) > str(rule2[2]): same_rules.append(rule1_index) break - return [rule for index, rule in enumerate(rules_cluster) if index not in same_rules] + return [rule for index, rule in enumerate(rules) if index not in same_rules] -def get_fuzzy_rules( +def get_grouped_fuzzy_rules( clustered_rules: List[List[Rule]], fuzzy_variables: Dict[str, FuzzyVariable] ) -> List[FuzzyRule]: fuzzy_rules: List[List[Tuple[List[RuleAtom], Term, float]]] = [] @@ -363,3 +407,12 @@ def get_fuzzy_rules( for cluster in fuzzy_rules for item in cluster ] + + +def get_fuzzy_rules( + rules: List[Rule], fuzzy_variables: Dict[str, FuzzyVariable] +) -> List[FuzzyRule]: + fuzzy_rules: List[Tuple[List[RuleAtom], Term, float]] = [] + fuzzy_rules = _get_fuzzy_rules(rules, fuzzy_variables) + fuzzy_rules = _delete_same_fuzzy_rules(fuzzy_rules) + return [FuzzyRule(reduce(and_, item[0]), item[1]) for item in fuzzy_rules] diff --git a/viscosity_tree.ipynb b/viscosity_tree.ipynb index d1d6209..85efc62 100644 --- a/viscosity_tree.ipynb +++ b/viscosity_tree.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -134,7 +134,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -151,42 +151,42 @@ "text/plain": [ "[if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 52.5) and (T > 65.0) and (TiO2 <= 0.025) -> 1.194,\n", " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 52.5) and (T > 65.0) and (TiO2 > 0.025) -> 1.289,\n", - " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 52.5) and (T <= 65.0) and (TiO2 <= 0.025) -> 1.548,\n", - " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 52.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 1.629,\n", - " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 52.5) and (T <= 65.0) and (TiO2 > 0.025) -> 1.662,\n", - " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T > 65.0) -> 1.728,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 42.5) and (TiO2 <= 0.025) -> 1.832,\n", - " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 52.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 1.897,\n", - " if (T > 32.5) and (T > 47.5) and (TiO2 > 0.175) and (T > 65.0) -> 1.91,\n", - " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 52.5) and (TiO2 > 0.025) -> 2.109,\n", - " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T <= 65.0) and (T > 57.5) -> 2.16,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 42.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 2.361,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 42.5) and (TiO2 > 0.025) -> 2.402,\n", - " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T <= 65.0) and (T <= 57.5) -> 2.426,\n", - " if (T > 32.5) and (T > 47.5) and (TiO2 > 0.175) and (T <= 65.0) and (T > 57.5) -> 2.538,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 42.5) and (TiO2 > 0.025) and (T > 37.5) -> 2.655,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 42.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 2.682,\n", - " if (T > 32.5) and (T > 47.5) and (TiO2 > 0.175) and (T <= 65.0) and (T <= 57.5) -> 2.838,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 42.5) and (TiO2 > 0.025) and (T <= 37.5) -> 3.121,\n", + " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 22.5) and (TiO2 > 0.025) -> 4.885,\n", " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 22.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 3.18,\n", " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 22.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 3.38,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 > 0.175) and (T > 40.0) -> 3.561,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T > 37.5) -> 3.565,\n", - " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 22.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 3.707,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T <= 37.5) -> 4.118,\n", " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 22.5) and (TiO2 > 0.025) -> 4.236,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 > 0.175) and (T <= 40.0) -> 4.354,\n", - " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 22.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 4.66,\n", - " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T > 22.5) and (T > 27.5) -> 4.731,\n", - " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 22.5) and (TiO2 > 0.025) -> 4.885,\n", - " if (T <= 32.5) and (TiO2 > 0.175) and (T > 22.5) and (T > 27.5) -> 4.944,\n", - " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T > 22.5) and (T <= 27.5) -> 5.594,\n", - " if (T <= 32.5) and (TiO2 > 0.175) and (T > 22.5) and (T <= 27.5) -> 5.865,\n", " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T <= 22.5) -> 6.67,\n", - " if (T <= 32.5) and (TiO2 > 0.175) and (T <= 22.5) -> 7.132]" + " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T > 22.5) and (T <= 27.5) -> 5.594,\n", + " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T > 22.5) and (T > 27.5) -> 4.731,\n", + " if (T <= 32.5) and (TiO2 > 0.175) and (T <= 22.5) -> 7.132,\n", + " if (T <= 32.5) and (TiO2 > 0.175) and (T > 22.5) and (T <= 27.5) -> 5.865,\n", + " if (T <= 32.5) and (TiO2 > 0.175) and (T > 22.5) and (T > 27.5) -> 4.944,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 42.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 2.361,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 42.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 2.682,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 42.5) and (TiO2 > 0.025) and (T <= 37.5) -> 3.121,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 42.5) and (TiO2 > 0.025) and (T > 37.5) -> 2.655,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 42.5) and (TiO2 <= 0.025) -> 1.832,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 42.5) and (TiO2 > 0.025) -> 2.402,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T <= 37.5) -> 4.118,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T > 37.5) -> 3.565,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 > 0.175) and (T <= 40.0) -> 4.354,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 > 0.175) and (T > 40.0) -> 3.561,\n", + " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 52.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 1.629,\n", + " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 52.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 1.897,\n", + " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 52.5) and (TiO2 > 0.025) -> 2.109,\n", + " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 52.5) and (T <= 65.0) and (TiO2 <= 0.025) -> 1.548,\n", + " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T > 52.5) and (T <= 65.0) and (TiO2 > 0.025) -> 1.662,\n", + " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 22.5) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 3.707,\n", + " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (T <= 22.5) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 4.66,\n", + " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T <= 65.0) and (T <= 57.5) -> 2.426,\n", + " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T <= 65.0) and (T > 57.5) -> 2.16,\n", + " if (T > 32.5) and (T > 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) and (T > 65.0) -> 1.728,\n", + " if (T > 32.5) and (T > 47.5) and (TiO2 > 0.175) and (T <= 65.0) and (T <= 57.5) -> 2.838,\n", + " if (T > 32.5) and (T > 47.5) and (TiO2 > 0.175) and (T <= 65.0) and (T > 57.5) -> 2.538,\n", + " if (T > 32.5) and (T > 47.5) and (TiO2 > 0.175) and (T > 65.0) -> 1.91]" ] }, - "execution_count": 2, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -202,7 +202,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -219,42 +219,42 @@ "text/plain": [ "[if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.194,\n", " if (T > 32.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 1.289,\n", - " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.548,\n", - " if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.629,\n", - " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 1.662,\n", - " if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 1.728,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.832,\n", - " if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 1.897,\n", - " if (T > 32.5) and (TiO2 > 0.175) -> 1.91,\n", - " if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 2.109,\n", - " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 2.16,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 2.361,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 2.402,\n", - " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 2.426,\n", - " if (T > 32.5) and (T <= 65.0) and (TiO2 > 0.175) -> 2.538,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 2.655,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 2.682,\n", - " if (T > 32.5) and (T <= 65.0) and (TiO2 > 0.175) -> 2.838,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 3.121,\n", + " if (T <= 32.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 4.885,\n", " if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 3.18,\n", " if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 3.38,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 > 0.175) -> 3.561,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 3.565,\n", - " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 3.707,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 4.118,\n", " if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 4.236,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 > 0.175) -> 4.354,\n", - " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 4.66,\n", - " if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 4.731,\n", - " if (T <= 32.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 4.885,\n", - " if (T <= 32.5) and (T > 22.5) and (TiO2 > 0.175) -> 4.944,\n", - " if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 5.594,\n", - " if (T <= 32.5) and (T > 22.5) and (TiO2 > 0.175) -> 5.865,\n", " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 6.67,\n", - " if (T <= 32.5) and (TiO2 > 0.175) -> 7.132]" + " if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 5.594,\n", + " if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 4.731,\n", + " if (T <= 32.5) and (TiO2 > 0.175) -> 7.132,\n", + " if (T <= 32.5) and (T > 22.5) and (TiO2 > 0.175) -> 5.865,\n", + " if (T <= 32.5) and (T > 22.5) and (TiO2 > 0.175) -> 4.944,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 2.361,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 2.682,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 3.121,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 2.655,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.832,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 2.402,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 4.118,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 3.565,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 > 0.175) -> 4.354,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 > 0.175) -> 3.561,\n", + " if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.629,\n", + " if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 1.897,\n", + " if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 2.109,\n", + " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.548,\n", + " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 1.662,\n", + " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 3.707,\n", + " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 4.66,\n", + " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 2.426,\n", + " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 2.16,\n", + " if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 1.728,\n", + " if (T > 32.5) and (T <= 65.0) and (TiO2 > 0.175) -> 2.838,\n", + " if (T > 32.5) and (T <= 65.0) and (TiO2 > 0.175) -> 2.538,\n", + " if (T > 32.5) and (TiO2 > 0.175) -> 1.91]" ] }, - "execution_count": 3, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -270,7 +270,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -287,33 +287,33 @@ "text/plain": [ "[if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.194,\n", " if (T > 32.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 1.289,\n", - " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.548,\n", - " if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.629,\n", - " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 1.662,\n", - " if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 1.728,\n", - " if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 1.897,\n", - " if (T > 32.5) and (TiO2 > 0.175) -> 1.91,\n", - " if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 2.109,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 2.097,\n", - " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 2.293,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 2.682,\n", - " if (T > 32.5) and (T <= 65.0) and (TiO2 > 0.175) -> 2.688,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 2.726,\n", + " if (T <= 32.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 4.885,\n", " if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 3.18,\n", " if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 3.38,\n", - " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 3.707,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 3.842,\n", " if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 4.236,\n", - " if (T > 32.5) and (T <= 47.5) and (TiO2 > 0.175) -> 3.958,\n", - " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 4.66,\n", - " if (T <= 32.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 4.885,\n", - " if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 5.162,\n", - " if (T <= 32.5) and (T > 22.5) and (TiO2 > 0.175) -> 5.405,\n", " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 6.67,\n", - " if (T <= 32.5) and (TiO2 > 0.175) -> 7.132]" + " if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 5.162,\n", + " if (T <= 32.5) and (TiO2 > 0.175) -> 7.132,\n", + " if (T <= 32.5) and (T > 22.5) and (TiO2 > 0.175) -> 5.405,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 2.682,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 2.097,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 2.726,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 3.842,\n", + " if (T > 32.5) and (T <= 47.5) and (TiO2 > 0.175) -> 3.958,\n", + " if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.629,\n", + " if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 1.897,\n", + " if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 2.109,\n", + " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.548,\n", + " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 1.662,\n", + " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 3.707,\n", + " if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 4.66,\n", + " if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 2.293,\n", + " if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 1.728,\n", + " if (T > 32.5) and (T <= 65.0) and (TiO2 > 0.175) -> 2.688,\n", + " if (T > 32.5) and (TiO2 > 0.175) -> 1.91]" ] }, - "execution_count": 4, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -327,304 +327,10 @@ "rules" ] }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['(Al2O3 <= 0.175)', '(Al2O3 > 0.025)', '(Al2O3 > 0.175)', '(TiO2 <= 0.175)', '(TiO2 > 0.025)', '(TiO2 > 0.175)']\n" - ] - }, - { - "data": { - "text/html": [ - "
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(Al2O3 <= 0.175)(Al2O3 > 0.025)(Al2O3 > 0.175)(TiO2 <= 0.175)(TiO2 > 0.025)(TiO2 > 0.175)consequent
rule
if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.1941001001.194
if (T > 32.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 1.2891001101.289
if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.5481001001.548
if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.6291001001.629
if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 1.6621001101.662
\n", - "
" - ], - "text/plain": [ - " (Al2O3 <= 0.175) \\\n", - "rule \n", - "if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 <=... 1 \n", - "if (T > 32.5) and (TiO2 <= 0.175) and (TiO2 > 0... 1 \n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.17... 1 \n", - "if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.17... 1 \n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.17... 1 \n", - "\n", - " (Al2O3 > 0.025) \\\n", - "rule \n", - "if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 <=... 0 \n", - "if (T > 32.5) and (TiO2 <= 0.175) and (TiO2 > 0... 0 \n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.17... 0 \n", - "if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.17... 0 \n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.17... 0 \n", - "\n", - " (Al2O3 > 0.175) \\\n", - "rule \n", - "if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 <=... 0 \n", - "if (T > 32.5) and (TiO2 <= 0.175) and (TiO2 > 0... 0 \n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.17... 0 \n", - "if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.17... 0 \n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.17... 0 \n", - "\n", - " (TiO2 <= 0.175) \\\n", - "rule \n", - "if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 <=... 1 \n", - "if (T > 32.5) and (TiO2 <= 0.175) and (TiO2 > 0... 1 \n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.17... 1 \n", - "if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.17... 1 \n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.17... 1 \n", - "\n", - " (TiO2 > 0.025) \\\n", - "rule \n", - "if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 <=... 0 \n", - "if (T > 32.5) and (TiO2 <= 0.175) and (TiO2 > 0... 1 \n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.17... 0 \n", - "if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.17... 0 \n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.17... 1 \n", - "\n", - " (TiO2 > 0.175) consequent \n", - "rule \n", - "if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 <=... 0 1.194 \n", - "if (T > 32.5) and (TiO2 <= 0.175) and (TiO2 > 0... 0 1.289 \n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.17... 0 1.548 \n", - "if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.17... 0 1.629 \n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.17... 0 1.662 " - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from src.rules import get_features, vectorize_rules\n", - "\n", - "features = get_features(rules, [\"T\"])\n", - "print(features)\n", - "\n", - "df_rules = vectorize_rules(rules, features)\n", - "df_rules.head(5)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\user\\Projects\\python\\fuzzy\\.venv\\Lib\\site-packages\\sklearn\\base.py:1473: ConvergenceWarning: Number of distinct clusters (5) found smaller than n_clusters (6). Possibly due to duplicate points in X.\n", - " return fit_method(estimator, *args, **kwargs)\n" - ] - }, - { - "data": { - "text/plain": [ - "{2: 0.42601604060235754,\n", - " 3: 0.7018993361356377,\n", - " 4: 0.8249121250065079,\n", - " 5: 1.0,\n", - " 6: 1.0}" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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kojwkJOjWrl49oGrVkq3FmNy9C1y8+PJ2un5+ujDqkC+M8PBwhIWFaZ7nzNZGRIbj7Kxbu0WLiu+KtTTYs0e6yfoyun5+ujDqkK9WrRqSkpK09iUlJcHW1jbPq3gAUCqVUCqVhiiPiPLRuDFgYQFkZ+f9ek7fc+vWhq1Lbq1bS+/79m2pa+ZFJfG5GPWXoQICAhAXF6e1b+fOnQgICJCpIiJ6mexsaVhgTsC/OBtuzvPo6LJ10xWQ3u+8edK2oT4Xg4b8o0ePcOLECZw4cQKANETyxIkTuHHjBgCpq2XgwIGa9sOGDcOVK1cwYcIEnD9/HgsWLMAPP/yAsWPHGrJsItLD+PHAzp1A+fLAF18ALi7ar9eoAWzYAHTvLk99cuveXXr/BvtchAHt3r1bAMj1CAkJEUIIERISIgIDA3Md4+PjIywtLUWdOnXEihUr9DpnamqqACBSU1OL500QUb6WLhVC6ogQ4scfpX3Z2ULs3i3E2rXSf7Oz5azQeBTlc9En12QbJ28oHCdPZBh79wJt2wJPnwKRkcCUKXJXZLr0yTWj7pMnotLh2jWpm+HpU6BnT+DTT+WuiHIw5ImoSB49Arp0Ae7dA5o2BVauzH1TkeTDkCeiQlOrgQEDgJMnAScn4OefpRuuZDwY8kRUaBERwE8/AZaW0n/5vUPjw5AnokKJjQU++0zaXrIEaNFC3noobwx5ItLbkSPAoEHS9vjxwHNfbyEjw5AnIr0kJABduwJPngAdOwIzZ8pdERWEIU9EOnvyRAr427eBBg2AtWvL3tQEpQ1Dnoh0IgQwdChw+DBQqRKweTNgZyd3VfQyDHki0sns2cDq1dKV+4YNgIeH3BWRLhjyRPRSv/4KTJokbc+bB7z+urz1kO4Y8kRUoDNngHfekbpr3n8f+OADuSsifTDkiShf9+8Db70lTV0QGAh8/TWnLChtGPJElKenT4EePYArV4DataV++HLl5K6K9MWQJ6I8jR4trUlasaI0ksbBQe6KqDAY8kSUy8KF0kOhkMbCN24sd0VUWAx5ItKyaxcwapS0PWMG0LmzvPVQ0TDkiUjj8mVp0Q+VCujXD5g4Ue6KqKgY8kQEAEhLk67aHzwAmjeXZpbkSJrSjyFPRFCpgL59gXPngOrVpbnhra3lroqKA0OeiDB5MrBlC2BlJQV89epyV0TFhSFPVMatWgX873/S9vLlUlcNmQ6GPFEZdvAgMGSItD15sjR9AZkWhjxRGXXrljQ3fFYW0KULMH263BVRSWDIE5VBjx9LwZ6UJH3RadUqwIxpYJL4x0pUxggBDB4MHDsmTVWweTNgYyN3VVRSGPJEZcznnwOxsYCFBfDjj9LkY2S6GPJEZcimTcCnn0rbCxYA//d/8tZDJY8hT1RG/PMP0L+/tD1qlLReK5k+hjxRGZCcLC3+8fgxEBQEzJ0rd0VkKAx5IhOXlQW8/TZw44a0+HZOfzyVDQx5IhMmhLQm6759gK0t8MsvQOXKcldFhsSQJzJhX30FLFsmjYFftw7w9JS7IjI0hjyRifrtNyAsTNqePRvo0EHeekgeDHkiE3ThAtCrF6BWA4MGAWPHyl0RyYUhT2RiHj6URtKkpgItWwIxMVz8oyxjyBOZkOxsoE8f4OJFwNUV2LgRUCrlrorkxJAnMiEffST1xZcvD/z8M+DkJHdFJDeDh/z8+fPh5uYGKysr+Pv74/Dhw/m2ffr0KaZNmwZ3d3dYWVnB29sb27dvN2C1RKXHsmVAdLS0/e23QNOmspZDRsKgIR8bG4uwsDBERETg2LFj8Pb2RnBwMJKTk/Ns/8knn2DRokX4+uuvcfbsWQwbNgzdunXD8ePHDVk2kdHbtw8YPlzanjoV6NFD1nLIiCiEEMJQJ/P390fz5s3xzTffAADUajVcXV0xatQoTJo0KVf76tWr4+OPP8aIESM0+95++21YW1tj9erVOp0zLS0NdnZ2SE1Nha2tbfG8ESIjcv26tGTf3btSuMfGcm54U6dPrhnsr0JWVhaOHj2KoKCgZyc3M0NQUBAOHDiQ5zGZmZmwsrLS2mdtbY19+/ble57MzEykpaVpPYhM1aNH0kiau3cBHx9g5UoGPGkz2F+He/fuQaVSwemFO0FOTk5ITEzM85jg4GDMnTsX8fHxUKvV2LlzJzZu3IiEhIR8zxMVFQU7OzvNw9XVtVjfB5GxUKuBgQOBkycBR0fpRmuFCnJXRcbGqP/NnzdvHurWrQtPT09YWlpi5MiRCA0NhVkBlyrh4eFITU3VPG7evGnAiokMZ+pUaX54S0vpvzVryl0RGSODhbyDgwPMzc2RlJSktT8pKQnVqlXL85iqVavip59+QkZGBq5fv47z58+jYsWKqFOnTr7nUSqVsLW11XoQmZrY2GcLby9aJH3piSgvBgt5S0tL+Pr6Ii4uTrNPrVYjLi4OAQEBBR5rZWUFFxcXZGdn48cff0SXLl1Kulwio3X0qDRVAQCMG/dsmygvBp1VOiwsDCEhIWjWrBn8/PwQHR2NjIwMhIaGAgAGDhwIFxcXREVFAQAOHTqE27dvw8fHB7dv38bUqVOhVqsxYcIEQ5ZNZDQSEoAuXYAnT6QJx2bNkrsiMnYGDfnevXvj7t27mDJlChITE+Hj44Pt27drbsbeuHFDq7/9yZMn+OSTT3DlyhVUrFgRHTt2xKpVq2Bvb2/IsomMwpMnQLduwO3b0pTB338PmJvLXRUZO4OOk5cDx8mTKRACCAkBVq0CKlUCDh0C6taVuyqSi1GOkyeiwvviCyngzc2BH35gwJPuGPJERu7XX4GJE6Xt6GhpIW4iXTHkiYzYmTNA375Sd8177wHPzfBBpBOGPJGRun9fmrIgPR34v/8Dvv6ai3+Q/hjyREbo6VOgZ0/gyhXAzQ348Ufpm61E+mLIExmhMWOA3buBihWBzZsBBwe5K6LSiiFPZGQWLgQWLJC6ZlavBpo0kbsiKs0Y8kRGZPduYNQoafvzz6VvtxIVBUOeyEhcviwt+qFSSSNq8lhHh0hvDHkiI5CWJo2kefBAWuVp6VKOpKHiwZAnkplKBfTrB5w9Czg7S3PDW1vLXRWZCoY8kcw+/lj6VqtSCfz0E+DiIndFZEoY8kQyWr362XTBy5cDfn7y1kOmhyFPJJNDh4AhQ6Tt8HDpZitRcWPIE8ng1i2ga1cgM1O64frZZ3JXRKaKIU9kYI8fSwGfmAg0bix12RSwNj1RkfCvFpEBCQG8+660TmuVKtKUBTY2cldFpowhT2RAM2YA69YBFhbSpGO1a8tdEZk6hjyRgWzaBHzyibQ9fz4QGChvPVQ2MOSJDODkSWDAAGl75EhpARAiQ2DIE5Ww5GRpBE1GBtC2LfDll3JXRGUJQ56oBGVlSZOOXb8OeHhIi3BbWMhdFZUlDHmiEiKEtCbr3r2Ara00kqZyZbmrorKGIU9UQr7++tlskt9/DzRoIHdFVBbxF0eiYqBSSVfsCQnSTJL//guMHSu9Nns20LGjvPVR2cWQJyqijRuB0aOlqQpyKBRSd82gQUBYmGylETHkiYpi40bpxqoQ2vtznr/xBhf/IHmxT56okFQq6Qr+xYDPoVAAH30ktSOSC0OeqJD27tXuonmREMDNm1I7Irkw5IkKKSGheNsRlQSGPFEhOTsXbzuiksCQJyokpbLgeeAVCsDVFWjd2nA1Eb2IIU9UCBs2AK+/DqjV0vMXR9DkPI+OBszNDVoakRaGPJEehABmzgR69gSePJG+5LR6NeDiot2uRg3pH4Lu3eWpkygHx8kT6SgrCxg2DFixQnr+4YfAnDnShGN9+mh/47V1a17Bk3FgyBPp4MED4O23gT17pH74efOkeeFzmJsDbdrIVR1R/hjyRC9x6RLQqRNw8SJQsSIQG8u5aKj0MHif/Pz58+Hm5gYrKyv4+/vj8OHDBbaPjo5G/fr1YW1tDVdXV4wdOxZPnjwxULVU1u3dC/j7SwHv6gr89RcDnkoXg4Z8bGwswsLCEBERgWPHjsHb2xvBwcFITk7Os/3atWsxadIkRERE4Ny5c1i2bBliY2MxefJkQ5ZNZdTq1UBQkNRV07w5cOgQ4OUld1VE+jFoyM+dOxdDhw5FaGgoGjZsiJiYGJQvXx7Lly/Ps/3+/fvRqlUr9O3bF25ubmjfvj3eeeedl179ExWFEMCUKdKarFlZz/ri+aUmKo30Cvns7GzMmTMHw4cPBwBcvnwZu3bt0unYrKwsHD16FEFBQc9ObmaGoKAgHDhwIM9jWrZsiaNHj2pC/cqVK9i6dSs6FvD7cmZmJtLS0rQeRLp68gTo1w+YPl16PnGitGRf+fLy1kVUWHrdeB05ciRUKhX27dsHAKhSpQp69+6NI0eOvPTYe/fuQaVSwcnJSWu/k5MTzp8/n+cxffv2xb179/Dqq69CCIHs7GwMGzaswO6aqKgoREZG6vGuiCTJyUDXrsCBA9KwyJgY4N135a6KqGj0upI/ePAglixZAisrKwCAvb09nj59WiKFAcCePXswY8YMLFiwAMeOHcPGjRuxZcsWTM+5zMpDeHg4UlNTNY+bN2+WWH1kOs6eBVq0kALe3h7YsYMBT6ZBryv5nHDPoVKpoM75XvdLODg4wNzcHElJSVr7k5KSUK1atTyP+fTTTzFgwAAMGTIEANCkSRNkZGTgvffew8cffwyzPCYOUSqVUCqVOtVEBAC//y4t/JGaCri7A7/+Cnh6yl0VUfHQ60rey8sLq1evhlqtxqVLlzBs2DC00fEbIJaWlvD19UVcXJxmn1qtRlxcHAICAvI85vHjx7mC3Py/rxGK/FZqINLDkiXS6k2pqUCrVsDBgwx4MjFCD+np6eK9994Tjo6OwtHRUbz33nsiIyND5+PXrVsnlEqlWLlypTh79qx47733hL29vUhMTBRCCDFgwAAxadIkTfuIiAhhY2Mjvv/+e3HlyhXx22+/CXd3d9GrVy+dz5mamioAiNTUVN3fKJm87Gwhxo8XQhpLI0S/fkI8eSJ3VUS60SfXdA757OxsMWHChCIVJoQQX3/9tahZs6awtLQUfn5+4uDBg5rXAgMDRUhIiOb506dPxdSpU4W7u7uwsrISrq6u4oMPPhAPHz7U+XwMeXrRo0dCdO36LOAjI4VQq+Wuikh3+uSaQgjd+z38/PxK3Rj1tLQ02NnZITU1Fba2tnKXQzK7cwfo3Bk4dgywtJQmG+vbV+6qiPSjT67p1SffsWNHfP7557hz5w7HoVOpc+IE4OcnBbyDA7BrFwOeTJ9eV/J5jWZRKBRQGfFy9LySJ0AaMdOnD5CRId1Y3bIFqFNH7qqICqfEruTVanWuhzEHPJEQ0rTAXbpIAd+2rTQWngFPZYXeUw3fvHkTe/fuBQAEBgbC5cUlcYiMRHY2MHo0sGCB9HzIEGm7XDl56yIyJL2u5H/++Wc0bdoUP/zwA9avX4+mTZvil19+KanaiAotLU26wbpggbTe6uzZwOLFDHgqe/S6ko+MjMTBgwfh4eEBALh06RJ69eqFzp07l0hxRIVx/Trw5pvA6dOAtTWwZg3QrZvcVRHJQ6+QV6lUmoAHAA8PD52nNSAyhEOHpP73pCRpauDNm4FmzeSuikg+enXXODo6YunSpZqbrsuWLUPVqlVLqjYivWzYIK2zmpQkLe5x6BADnkivkI+JicHSpUthbW0Na2trLF26FDExMSVVG5FOhACiooCePaX54Dt1Avbtk5brIyrr9OqucXd3x8GDB/Ho0SMAQMWKFUukKCJdZWUBw4ZJ31wFgA8/BObOBf6bx46ozNPrSn7x4sV48OABKlasiIoVK+L+/ftYsmRJSdVGVKAHD4DgYCngzcyAr7+WxsQz4Ime0SvkFyxYgMqVK2ueV6lSBQtyBiETGdClS0BAgLT2qo2N9I3WkSPlrorI+OjVXZPXDAj8xisZ2t690jJ9Dx4ANWtKAd+kidxVERknva7knZ2d8cMPP2iex8bGwplL2JMBrVolTU3w4AHQvLk0goYBT5Q/vSYoO3fuHLp27YrMzEwAQPny5fHzzz+jbt26JVZgUXGCMtMgBBARAeQs7/v228B33wHly8tbF5Ec9Mk1vbprGjRogLNnz+LChQsAgPr162uW4yMqKU+eAKGhwLp10vNJk4DPP5duthJRwfT63+Tvv/9GZmYmGjZsiNOnT2PixIm4c+dOSdVGhORk4PXXpYC3sACWLZPGxDPgiXSj1/8qQ4YMgVKpRHx8PD7++GOUK1cOoaGhJVUblXFnzwL+/tLUwPb2wG+/AYMHy10VUemiV8ibm5vD3Nwc27Ztw/DhwxEVFYXk5OSSqo3KsJ07pSGS164B7u7AwYPAa6/JXRVR6aNXyGdmZiIpKQm//PIL2rRpA4BDKKn4LV4MdOggTRf86qtSwNevL3dVRKWTXiE/duxY1K9fH3Z2dnjllVdw+fJlVKpUqaRqozJGpQLGjwfef1/a7t8f+P13aT1WIiocvYZQvkilUkGlUsHS0rI4aypWHEJZOmRkAP36AT//LD2fNg345BNpwQ8i0lZiQyhflNNHT1QUt28Db70FHDsGKJXSXDTvvCN3VUSmoUghT1RUJ05Iqzjdvi11y/z8M9CypdxVEZkOjjYm2fzyi3Rj9fZtoEEDaYoCBjxR8dI75BMSErBnzx4AQHZ2NrKysoq7JjJxQgDR0dIyfRkZ0lw0+/cDderIXRmR6dEr5Dds2IAWLVpg0KBBAIAzZ86ga9euJVAWmarsbGlK4LFjpbAfOhTYtk36shMRFT+9Qj4qKgrHjh3TDJv09vbG9evXS6QwMj1paVL/+4IF0qiZ2bOBRYuAcuXkrozIdOl149Xc3BxVqlTR2mfMwyfJeFy/LgX86dOAtTWwZg3QrZvcVRGZPr1C3sbGBklJSVD8N3g5Li5Oa6UoorwcOiQNkUxOBpydpRuuvr5yV0VUNugV8jNnzkSHDh1w5coVvPrqq7h69Sq2bNlSUrWRCVi/Hhg4UJou2NtbWsWpRg25qyIqO/QK+ebNm2P37t3Yv38/hBBo2bIl7HnHjPIgBDBzJjB5svS8Uyfg+++l9ViJyHD0uvH6wQcfwM7ODh06dEDHjh1hb2+PDz74oKRqo1IqK0uaEjgn4EePlr7kxIAnMjy9ruQPHjyYa9/+/fuLrRgq/R48ALp3B/74Q1rY46uvgBEj5K6KqOzSKeRjY2Oxbt06XL16Fd27d9fsT01NRYUKFUqsOCpd4uOlbpn4eOmq/YcfgDfekLsqorJNp5D39PREly5dcOzYMXTp0kWz39bWFm3bti2x4qj0+PNPaUjkgwdAzZrSDdYmTeSuioh0Cnlvb294e3vD3NwcAwYM0Hpt+/bteIOXa2WGSgXs3QskJEjDIVu3lsa8DxkCPH0KNG8ObN4MVKsmd6VEBOg5n/wrr7yCY8eOvXSfMeF88sVn40bpJuqtW8/22dgA6enSdo8ewLffAuXLy1MfUVmhT67pNLrm4sWL2Lx5M1JTU7F582bNY9WqVXj8+LHeBc6fPx9ubm6wsrKCv78/Dh8+nG/bNm3aQKFQ5Hp06tRJ7/NS4W3cKIX48wEPPAv47t2B2FgGPJGx0am75sCBA1i5ciWSk5Px5Zdfavbb2tpizpw5ep0wNjYWYWFhiImJgb+/P6KjoxEcHIwLFy7A0dExV/uNGzdqzXR5//59eHt7o2fPnnqdlwpPpZKu4Av6ne/vvwt+nYhkIvSwdOlSfZrnyc/PT4wYMULzXKVSierVq4uoqCidjv/yyy+FjY2NePTokU7tU1NTBQCRmppaqHpJiN27hZAivODH7t1yV0pUNuiTa3p9GWrgwIGYM2eO5gtQly9fxq5du3Q+PisrC0ePHkVQUJBmn5mZGYKCgnDgwAGdfsayZcvQp0+ffIduZmZmIi0tTetBRZOQULztiMhw9Ar5UaNG4fz589i9ezcAoEqVKpgwYYLOx9+7dw8qlQpOTk5a+52cnJCYmPjS4w8fPozTp09jyJAh+baJioqCnZ2d5uHq6qpzfZQ3Z+fibUdEhqNXyB88eBBLliyBlZUVAMDe3h5Pnz4tkcLysmzZMjRp0gR+fn75tgkPD0dqaqrmcfPmTYPVZ6paty54UjGFAnB1ldoRkXHRK+Rzwj2HSqWCWq3W+XgHBweYm5sjKSlJa39SUhKqvWRgdUZGBtatW4d33323wHZKpRK2trZaDyoac3Ng0qS8X/tv1mlER0vtiMi46BXyXl5eWL16NdRqNS5duoRhw4ahTZs2Oh9vaWkJX19fxMXFafap1WrExcUhICCgwGPXr1+PzMxM9O/fX5+SqZjk3DJRKrX316gBbNggDaEkIuOj1wRlc+fOxbhx45CYmIhWrVqha9eumDlzpl4nDAsLQ0hICJo1awY/Pz9ER0cjIyMDoaGhAKSbuy4uLoiKitI6btmyZejatWuulamo5J06BaxdK23/+Sfw+LH2N155BU9kvPQK+YoVK2LRokVYtGhRoU/Yu3dv3L17F1OmTEFiYiJ8fHywfft2zc3YGzduwMxM+xeMCxcuYN++ffjtt98KfV4qvE8/lQZJ9ugBFHA7hIiMkF7TGnz33Xd57h84cGCxFVTcOK1B0Rw6BLRoIU0bfPo00KCB3BURkT65pteV/C+//KLZfvLkCfbt24cWLVoYdchT0Xz8sfTfgQMZ8ESlkV4hv379eq3nV69excc5KUAmJy5OepQrB0REyF0NERWGXqNrXlS7dm2cOXOmuGohIyLEs6v4998H3NxkLYeICkmvK/nNmzdrtlUqFQ4dOgTli2PqyCT88ovUH29t/Szsiaj00Svkn5+B0sLCAh4eHoiNjS32okheavWzYB89mguAEJVmeoV8zpw1ZNrWrZNG0tjZAR99JHc1RFQUeoU8IN183blzJwAgODgYb7/9drEXRfJ5+hSYMkXa/ugjoHJleeshoqLR68brtGnTEBUVhYYNG6JRo0aIiorCZ599VlK1kQxWrAAuXwaqVpW6aoiodNPry1BeXl44ePAgyv+3xltGRgYCAgJw8uTJEiuwqPhlKN39+y9Qty5w+7Y04RhDnsg4FfsarzmEEJqAB4AKFSpAj38jyMgtXCgFvKurNGySiEo/vfrk/fz8MGDAAAwdOhSANGlYQXO7U+mRlgbMmCFtR0QAL8wqTUSllF5X8l999RWqV6+OsLAwhIWFwdnZGV999VVJ1UYGFB0N3L8vddeEhMhdDREVF7365Esj9sm/3P37QO3aQHq6NHyyd2+5KyKigpTYBGXZ2dn48ccfcfnyZWRnZ2v2T8kZc0el0qxZUsB7ewM9e8pdDREVJ71Cvk+fPkhMTISfnx/MuVKESbhzB/j6a2n788+lKYWJyHToFfKnTp3C+fPnochZ2JNKvc8+A548AVq2BDp2lLsaIipuel23ubq6Iisrq6RqIQO7cgVYskTanjHj2aLcRGQ6dLqSzxlB4+HhgTZt2qBbt26wem6M3Ycfflgy1VGJmjoVyM4G2rcHAgPlroaISoJOIX/8+HHNtqenJ86dO6d5zq6b0unMGWD1amn788/lrYWISo5OIb9ixYqSroMMLGdx7u7dgWbN5K6GiEqKTiH//GIheXnrrbeKpRgyjL//BjZtkvrgp0+XuxoiKkk6hfzzi4W8SKFQMORLmZwFQQYMABo2lLcWIipZOoU8FwsxHbt3Azt3SotzT50qdzVEVNJ0Cvn4+HjUrVs33ymFvby8irUoKhnPL849dKg0lQERmTadQn7s2LH49ddf0aVLl1yvKRQKXLlypdgLo+K3ZQtw4IC0OPcnn8hdDREZgk4h/+uvvwIArl69WqLFUMl5fnHuUaMAZ2d56yEiwyjUTCVXrlxBdHS0JvzJ+P3wA3DyJGBrC0yYIHc1RGQoOoV8UFAQTpw4AQC4c+cOmjVrhh07dmD8+PGYNWtWSdZHxeDpU2lcPACMHw9UqSJvPURkODqF/O3bt+Hj4wMAWLt2LQIDA7Ft2zYcOHAAa9asKcn6qBh8+y1w6RLg4ACMGSN3NURkSDqFvLW1tWZ7//796PjfdIWVKlWChYVeE1mSgT15AkRGStuTJwM2NvLWQ0SGpVPIm5mZ4datW3j06BH++OMPBD43m9Xjx49LrDgqupgY4NYtoEYNYPhwuashIkPT6TJ88uTJaNq0KSwsLPDaa6+hXr16AKSrejc3t5Ksj4ogPf3Z4txTpnBxbqKySOc1XhMTE5GUlAQvLy/NzJN37txBdnY2atasWaJFFkVZXuP1s8+kG64eHsDZs9K3XImo9CuRNV6rVauGatWqae2rXr164SqkEvfgATB7trQ9bRoDnqis4oqeJup//wPS0oAmTYDeveWuhojkwpA3QQkJwH+LeXFxbqIyjv/7m6DPPwf+/RcICADefFPuaohITgx5E3P1KrB4sbTNxbmJyOAhP3/+fLi5ucHKygr+/v44fPhwge1TUlIwYsQIODs7Q6lUol69eti6dauBqi19IiOlaQzatQPatJG7GiKSm0G/rhobG4uwsDDExMTA398f0dHRCA4OxoULF+Do6JirfVZWFtq1awdHR0ds2LABLi4uuH79Ouzt7Q1Zdqlx9iywapW0zcW5iQjQY5x8cfD390fz5s3xzTffAADUajVcXV0xatQoTJo0KVf7mJgYzJ49G+fPn0e5Qo4BLEvj5Hv0AH78EejWDdi4Ue5qiKik6JNrBuuuycrKwtGjRxEUFPTs5GZmCAoKwoEDB/I8ZvPmzQgICMCIESPg5OSExo0bY8aMGVCpVPmeJzMzE2lpaVqPsuDIESnguTg3ET3PYCF/7949qFQqODk5ae13cnJCYmJinsdcuXIFGzZsgEqlwtatW/Hpp59izpw5+Oyzz/I9T1RUFOzs7DQPV1fXYn0fxipnQZD+/YFGjeSthYiMh1GPrlGr1XB0dMTixYvh6+uL3r174+OPP0ZMTEy+x4SHhyM1NVXzuHnzpgErlseePcBvvwEWFlycm4i0GezGq4ODA8zNzZGUlKS1PykpKdd0CTmcnZ1Rrlw5mJuba/Y1aNAAiYmJyMrKgqWlZa5jlEollEpl8RZvxF5cnLtOHXnrISLjYrAreUtLS/j6+iIuLk6zT61WIy4uDgEBAXke06pVK1y6dAlqtVqz7+LFi3B2ds4z4MuirVuB/fulGSa5ODcRvcig3TVhYWFYsmQJvv32W5w7dw7Dhw9HRkYGQkNDAQADBw5EeHi4pv3w4cPx4MEDjB49GhcvXsSWLVswY8YMjBgxwpBlG60XF+fmfHFE9CKDjpPv3bs37t69iylTpiAxMRE+Pj7Yvn275mbsjRs3YPbcRCuurq7YsWMHxo4dCy8vL7i4uGD06NGYOHGiIcs2WuvXA//8I632xI+EiPJi0HHycjDVcfLZ2UDDhkB8vPQt1ylT5K6IiAzFKMfJU/H69lsp4B0cgLFj5a6GiIwVQ74Uen5x7vBwLs5NRPljyJdCixYBN28CLi5cnJuICsaQL2UePXo2+diUKYC1tbz1EJFxY8iXMvPmAXfvAu7uwH8jT4mI8sWQL0W4ODcR6YshX4rMng2kpkqLc/fpI3c1RFQaMORLicREqasGAD77jItzE5FuGBWlRM7i3P7+QOfOcldDRKUFQ74UuHZNGjYJcHFuItIPQ74UyFmcu21b4PXX5a6GiEoThryRO3cO+O47aZuLcxORvhjyRm7KFGlK4S5dpP54IiJ9MOSN2NGjwIYNXJybiAqPIW/EclZ66ttXGhtPRKQvhryR+vNPYPt2Ls5NREXDkDdCzy/O/e67gIeHvPUQUenFkDdC27cD+/YBSiXw6adyV0NEpRlD3sg8vzj3yJHSnPFERIXFkDcyP/4IHD8OVKwITJokdzVEVNox5I1Idvaz7plx46T1W4mIioIhb0RWrQIuXAAqVwbCwuSuhohMAUPeSGRmPhsqGR4O2NrKWg4RmQiGvJFYvBi4cQOoXh0YMULuaojIVDDkjUBGhrQQCCD1yXNxbiIqLgx5I/DVV0ByMlCnDjB4sNzVEJEpYcjL7OFD4H//k7YjIwFLS3nrISLTwpCX2RdfACkpQKNGwDvvyF0NEZkahryMkpKA6Ghp+7PPAHNzWcshIhPEkJfRjBnA48dA8+bSoiBERMWNIS+T69eBmBhpm4tzE1FJYcjLZNo0ICsLeO01aYFuIqKSwJCXwYULwMqV0vbnn/MqnohKDkNeBjmLc3fuDAQEyF0NEZkyhryBHT8O/PCDtJ3zLVciopLCkDewnMW533kH8PKStxYiMn0MeQPatw/YulUaDx8ZKXc1RFQWMOQNRAhg8mRpe/BgoG5deeshorJBlpCfP38+3NzcYGVlBX9/fxw+fDjftitXroRCodB6WFlZGbDa4vHbb8DevVycm4gMy+AhHxsbi7CwMERERODYsWPw9vZGcHAwkpOT8z3G1tYWCQkJmsf169cNWHHRPX8V/8EHgKurvPUQUdlh8JCfO3cuhg4ditDQUDRs2BAxMTEoX748li9fnu8xCoUC1apV0zycnJwMWHHRbdwIHDsmLc4dHi53NURUlhg05LOysnD06FEEBQU9K8DMDEFBQThw4EC+xz169Ai1atWCq6srunTpgjNnzuTbNjMzE2lpaVoPOalUz0bUhIUBVavKWg4RlTEGDfl79+5BpVLluhJ3cnJCYmJinsfUr18fy5cvx88//4zVq1dDrVajZcuWuHXrVp7to6KiYGdnp3m4ytw3sno1cP48F+cmInkY/eiagIAADBw4ED4+PggMDMTGjRtRtWpVLFq0KM/24eHhSE1N1Txu3rxp4IqfycwEIiKk7UmTADs72UohojLKwpAnc3BwgLm5OZKSkrT2JyUloVq1ajr9jHLlyqFp06a4dOlSnq8rlUoolcoi11ocli6VZpt0dubi3EQkD4NeyVtaWsLX1xdxcXGafWq1GnFxcQjQcRIXlUqFU6dOwdnZuaTKLBYZGcD06dL2p58C5cvLWw8RlU0GvZIHgLCwMISEhKBZs2bw8/NDdHQ0MjIyEBoaCgAYOHAgXFxcEBUVBQCYNm0aWrRoAQ8PD6SkpGD27Nm4fv06hgwZYujS9fLNN9LKT7VrA+++K3c1RFRWGTzke/fujbt372LKlClITEyEj48Ptm/frrkZe+PGDZiZPfsF4+HDhxg6dCgSExNRqVIl+Pr6Yv/+/WjYsKGhS9dZSgowa5a0zcW5iUhOCiGEkLuIkpSWlgY7OzukpqbC1tbWIOf85BNpnviGDYGTJ7l2KxEVL31yzehH15Q2XJybiIwJQ76YRUVJN12bNQO6dpW7GiIq6xjyxejGDWDhQmmbi3MTkTFgyBejnMW527QBnpu5gYhINgz5YsLFuYnIGDHki0lEhDQZ2ZtvAi1byl0NEZGEIV8MTpwAYmOlbS7OTUTGhCFfDHKmEu7TB/D2lrcWIqLnMeSL6K+/gC1buDg3ERknhnwRPL+sX2goUK+evPUQEb2IIV8EO3cCf/4pzU0zZYrc1RAR5caQLyQuzk1EpQFDvpA2bQKOHgUqVODi3ERkvBjyhfD84txjxwKOjvLWQ0SUH4Z8IaxZA5w7B1SqBIwbJ3c1RET5Y8jrKSvr2eLcEycC9vaylkNEVCCGvJ6WLgWuXQOqVQNGjpS7GiKigjHk9fD48bPFuT/5RLrpSkRkzBjyevjmGyAxEXBzA4YOlbsaIqKXY8jrKDUVmDlT2p46lYtzE1HpwJDX0Zw5wMOHQIMGQP/+cldDRKQbhrwOkpOBuXOl7enTuTg3EZUeDHkdzJwpLc7t6wt07y53NUREumPIv8TNm8CCBdI2l/UjotLGQu4CjJFKBezdCyQkSN9uzcwE/u//gPbt5a6MiEg/DPkXbNwIjB4N3Lqlvb99e17FE1Hpw+6a52zcCPTokTvgAeDTT6XXiYhKE4b8f1Qq6QpeiPzbjBkjtSMiKi0Y8v/ZuzfvK/gcQkg3YffuNVxNRERFxZD/T0JC8bYjIjIGDPn/ODsXbzsiImPAkP9P69ZAjRr5j6BRKKR1XFu3NmxdRERFwZD/j7k5MG+etP1i0Oc8j47mlAZEVLow5J/TvTuwYQPg4qK9v0YNaT+nNCCi0oZfhnpB9+5Aly7PvvHq7Cx10fAKnohKI4Z8HszNgTZt5K6CiKjo2F1DRGTCGPJERCZMlpCfP38+3NzcYGVlBX9/fxw+fFin49atWweFQoGuXbuWbIFERCbC4CEfGxuLsLAwRERE4NixY/D29kZwcDCSk5MLPO7atWsYP348WnOgOhGRzgwe8nPnzsXQoUMRGhqKhg0bIiYmBuXLl8fy5cvzPUalUqFfv36IjIxEnTp1Cvz5mZmZSEtL03oQEZVVBg35rKwsHD16FEFBQc8KMDNDUFAQDhw4kO9x06ZNg6OjI959992XniMqKgp2dnaah6ura7HUTkRUGhl0COW9e/egUqng5OSktd/JyQnnz5/P85h9+/Zh2bJlOHHihE7nCA8PR1hYmOZ5amoqatasySt6IjIZOXkmCpob/T9GPU4+PT0dAwYMwJIlS+Dg4KDTMUqlEkqlUvM858PgFT0RmZr09HTY2dkV2MagIe/g4ABzc3MkJSVp7U9KSkK1atVytb98+TKuXbuGzp07a/ap1WoAgIWFBS5cuAB3d/cCz1m9enXcvHkTNjY2UOixfl9aWhpcXV1x8+ZN2Nra6nxcWcDPJm/8XPLHzyZvhf1chBBIT09H9erVX9rWoCFvaWkJX19fxMXFaYZBqtVqxMXFYeTIkbnae3p64tSpU1r7PvnkE6Snp2PevHk6XZ2bmZmhRo0aha7Z1taWfynzwc8mb/xc8sfPJm+F+VxedgWfw+DdNWFhYQgJCUGzZs3g5+eH6OhoZGRkIDQ0FAAwcOBAuLi4ICoqClZWVmjcuLHW8fb29gCQaz8REeVm8JDv3bs37t69iylTpiAxMRE+Pj7Yvn275mbsjRs3YGbGL+ISERUHWW68jhw5Ms/uGQDYs2dPgceuXLmy+AvKg1KpREREhNZNXJLws8kbP5f88bPJmyE+F4XQZQwOERGVSuwXISIyYQx5IiITxpAnIjJhDHkiIhPGkH9BVFQUmjdvDhsbGzg6OqJr1664cOGC3GUZhYULF8LLy0vzxY2AgABs27ZN7rKMzsyZM6FQKDBmzBi5S5HV1KlToVAotB6enp5yl2U0bt++jf79+6NKlSqwtrZGkyZNcOTIkWI/D0P+BX/88QdGjBiBgwcPYufOnXj69Cnat2+PjIwMuUuTXY0aNTBz5kwcPXoUR44cweuvv44uXbrgzJkzcpdmNP7++28sWrQIXl5ecpdiFBo1aoSEhATNY9++fXKXZBQePnyIVq1aoVy5cti2bRvOnj2LOXPmoFKlSsV/MkEFSk5OFgDEH3/8IXcpRqlSpUpi6dKlcpdhFNLT00XdunXFzp07RWBgoBg9erTcJckqIiJCeHt7y12GUZo4caJ49dVXDXIuXsm/RGpqKgCgcuXKMldiXFQqFdatW4eMjAwEBATIXY5RGDFiBDp16qS1XkJZFx8fj+rVq6NOnTro168fbty4IXdJRmHz5s1o1qwZevbsCUdHRzRt2hRLliwpkXMZ9VTDclOr1RgzZgxatWrFuXL+c+rUKQQEBODJkyeoWLEiNm3ahIYNG8pdluzWrVuHY8eO4e+//5a7FKPh7++PlStXon79+khISEBkZCRat26N06dPw8bGRu7yZHXlyhUsXLgQYWFhmDx5Mv7++298+OGHsLS0REhISPGezCC/L5RSw4YNE7Vq1RI3b96UuxSjkZmZKeLj48WRI0fEpEmThIODgzhz5ozcZcnqxo0bwtHRUfzzzz+afeyuye3hw4fC1taW3XtCiHLlyomAgACtfaNGjRItWrQo9nOxuyYfI0eOxK+//ordu3cXaapiU2NpaQkPDw/4+voiKioK3t7emDdvntxlyero0aNITk7GK6+8AgsLC1hYWOCPP/7AV199BQsLC6hUKrlLNAr29vaoV68eLl26JHcpsnN2ds71G3CDBg1KpDuL3TUvEEJg1KhR2LRpE/bs2YPatWvLXZJRU6vVyMzMlLsMWbVt2zbXugehoaHw9PTExIkTYW5uLlNlxuXRo0e4fPkyBgwYIHcpsmvVqlWuodkXL15ErVq1iv1cDPkXjBgxAmvXrsXPP/8MGxsbJCYmApAm6Le2tpa5OnmFh4ejQ4cOqFmzJtLT07F27Vrs2bMHO3bskLs0WdnY2OS6Z1OhQgVUqVKlTN/LGT9+PDp37oxatWrhzp07iIiIgLm5Od555x25S5Pd2LFj0bJlS8yYMQO9evXC4cOHsXjxYixevLj4T1bsHUClHIA8HytWrJC7NNkNHjxY1KpVS1haWoqqVauKtm3bit9++03usowS++SF6N27t3B2dhaWlpbCxcVF9O7dW1y6dEnusozGL7/8Iho3biyUSqXw9PQUixcvLpHzcKphIiITxhuvREQmjCFPRGTCGPJERCaMIU9EZMIY8kREJowhT0RkwhjyREQmjCFPRGTCGPJU6mRnZyMyMhKenp5o3LgxfHx88N577yElJQV79uyBj49PoX/2tWvXEBMTU3zFGoGpU6fiyZMncpdBMmHIU6nz7rvv4siRIzhw4ABOnz6N48ePo127dnjw4EGRf3ZRQj47O7vI5y8JkZGRDPkyjCFPpcqlS5ewfv16rFixQrMepkKhQM+ePVGnTh2ttteuXYO9vb3m+aNHj6BQKAAA//77L3r37o2GDRvC29sb7du3BwAMGzYMFy5cgI+PD9566y0A0upGnTp1QvPmzeHl5YVvvvlG8zMVCgUiIiLQvHlzhIeH4+DBg/D19YWPjw8aN26MhQsX5vk+tmzZgubNm8Pb2xs+Pj44dOgQAGDHjh145ZVX4OXlhcDAQJw9exYAcv2Gcvr0abi5uWm9z4iICPj6+sLDwwNbt27VvB8AaN26NXx8fJCcnKz3Z06lXInMiENUQmJjY4WXl1e+r+/evVuzrujVq1eFnZ2d5rX09HSR81d+48aNon379prX7t+/n+t4IYTIzs4Wvr6+4ty5c0IIITIyMkSTJk3E4cOHhRDShHaRkZGa9m+99ZZYu3at5vmDBw9y1XjhwgVRtWpVzc/MysoSKSkpIikpSVSuXFmcPHlSCCHE6tWrRYMGDYRarc5V16lTp0StWrU07xOA2LBhgxBCiG3btol69epp2gIQDx8+zPczI9PGK3kqk7y9vXHu3Dl88MEHiI2NRbly5fJsd+HCBZw5cwZ9+vSBj48PWrZsifT0dM0VNgAMHjxYs/3aa69h+vTpmDZtGvbt26f5beN5O3fuxBtvvAFPT08AQLly5WBnZ4dDhw6hSZMmaNKkCQCgX79+uHPnDm7fvv3S92NlZYXu3bsDAAICAnD58mXdPwwyaZxPnkqVV155BfHx8bh//z6qVKlSYNsXV2V6vl+6Tp06OHv2LHbt2oXff/8dEyZMwIkTJ3L9DCEEKleunOdrOSpWrKjZHjNmDLp06YLff/8dkydPRuPGjbFgwQLd32Ah3gsAKJVKTVeUubk5V6MiDV7JU6ni4eGBt99+G++++y5SUlIASEH8448/4sqVK1ptq1WrBiGE5qr7u+++07x269YtKBQKvPXWW/jiiy8ghMDNmzdha2uL1NRUTbv69evD1tYWK1as0Oy7dOlSvjd5L1y4gNq1a2Po0KGYPHkyDh48mKtNcHAwduzYgfPnzwMAnj59itTUVLRo0QKnTp3C6dOnAUiLg7u4uMDFxQV16tTB9evXcffuXQDAqlWrdP7MbGxstN4TlS28kqdSZ/ny5fjss8/g7+8PCwsLqNVq/N///R/atm2rtUamhYUFvv76a7z55puoUqUKevTooXnt1KlTCA8PhxAC2dnZGDBgALy8vJCdnY1GjRqhcePGqFOnDjZv3oxff/0VY8aMwZdffgmVSgUHBwesXbs2z9q++eYb7Nq1C5aWljA3N8ecOXNytfHw8MCKFSvQv39/PH36FObm5oiJiYGfnx/WrFmDgQMHIjs7G5UqVcL69euhUChQvXp1TJgwAX5+fnByckKHDh10/rzGjRuHdu3aoXz58vjtt9/g6Oiox6dNpR0XDSEiMmHsriEiMmEMeSIiE8aQJyIyYQx5IiITxpAnIjJhDHkiIhPGkCciMmEMeSIiE8aQJyIyYQx5IiIT9v90/wYtSblAWQAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "'The best clusters count is 5'" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from src.cluster_helper import draw_best_clusters_plot, get_best_clusters_num\n", - "\n", - "random_state = 9\n", - "\n", - "X = df_rules.copy()\n", - "X = X.drop([\"consequent\"], axis=1)\n", - "\n", - "clusters_score = get_best_clusters_num(X, random_state)\n", - "display(clusters_score)\n", - "\n", - "draw_best_clusters_plot(clusters_score)\n", - "\n", - "clusters_num = sorted(clusters_score.items(), key=lambda x: x[1], reverse=True)[0][0]\n", - "display(f\"The best clusters count is {clusters_num}\")" - ] - }, { "cell_type": "code", "execution_count": 7, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Кластер 1 (6):\n", - "if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.194;\n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.548;\n", - "if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 1.629;\n", - "if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 2.097;\n", - "if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 3.18;\n", - "if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) -> 3.707\n", - "--------\n", - "Кластер 2 (5):\n", - "if (T > 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 1.728;\n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 2.293;\n", - "if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 3.842;\n", - "if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 5.162;\n", - "if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 > 0.175) -> 6.67\n", - "--------\n", - "Кластер 3 (5):\n", - "if (T > 32.5) and (TiO2 > 0.175) -> 1.91;\n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 > 0.175) -> 2.688;\n", - "if (T > 32.5) and (T <= 47.5) and (TiO2 > 0.175) -> 3.958;\n", - "if (T <= 32.5) and (T > 22.5) and (TiO2 > 0.175) -> 5.405;\n", - "if (T <= 32.5) and (TiO2 > 0.175) -> 7.132\n", - "--------\n", - "Кластер 4 (6):\n", - "if (T > 32.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 1.289;\n", - "if (T > 32.5) and (T <= 65.0) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 1.662;\n", - "if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 2.109;\n", - "if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 2.726;\n", - "if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 4.236;\n", - "if (T <= 32.5) and (TiO2 <= 0.175) and (TiO2 > 0.025) and (Al2O3 <= 0.175) -> 4.885\n", - "--------\n", - "Кластер 5 (4):\n", - "if (T > 32.5) and (T <= 52.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 1.897;\n", - "if (T > 32.5) and (T <= 47.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 2.682;\n", - "if (T <= 32.5) and (T > 22.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 3.38;\n", - "if (T <= 32.5) and (TiO2 <= 0.175) and (Al2O3 <= 0.175) and (Al2O3 > 0.025) -> 4.66\n", - "--------\n" - ] - } - ], - "source": [ - "from sklearn import cluster\n", - "\n", - "from src.cluster_helper import print_cluster_result\n", - "\n", - "kmeans = cluster.KMeans(n_clusters=clusters_num, random_state=random_state)\n", - "kmeans.fit(X)\n", - "\n", - "print_cluster_result(X, clusters_num, kmeans.labels_)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, "outputs": [ { "data": { @@ -763,70 +469,78 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[[if (T = 70) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 1.194,\n", - " if (T = 48.75) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 1.548,\n", - " if (T = 42.5) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 1.629,\n", - " if (T = 40.0) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 2.097,\n", - " if (T = 27.5) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 3.18,\n", - " if (T = 20) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 3.707],\n", - " [if (T = 70) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 1.728,\n", - " if (T = 48.75) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 2.293,\n", - " if (T = 40.0) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 3.842,\n", - " if (T = 27.5) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 5.162,\n", - " if (T = 20) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 6.67],\n", - " [if (T = 70) and (TiO2 = 0.3) -> 1.91,\n", - " if (T = 48.75) and (TiO2 = 0.3) -> 2.688,\n", - " if (T = 40.0) and (TiO2 = 0.3) -> 3.958,\n", - " if (T = 27.5) and (TiO2 = 0.3) -> 5.405,\n", - " if (T = 20) and (TiO2 = 0.3) -> 7.132],\n", - " [if (T = 70) and (TiO2 = 0.1) and (Al2O3 = 0.0) -> 1.289,\n", - " if (T = 48.75) and (TiO2 = 0.1) and (Al2O3 = 0.0) -> 1.662,\n", - " if (T = 42.5) and (TiO2 = 0.1) and (Al2O3 = 0.0) -> 2.109,\n", - " if (T = 40.0) and (TiO2 = 0.1) and (Al2O3 = 0.0) -> 2.726,\n", - " if (T = 27.5) and (TiO2 = 0.1) and (Al2O3 = 0.0) -> 4.236,\n", - " if (T = 20) and (TiO2 = 0.1) and (Al2O3 = 0.0) -> 4.885],\n", - " [if (T = 42.5) and (TiO2 = 0.0) and (Al2O3 = 0.1) -> 1.897,\n", - " if (T = 40.0) and (TiO2 = 0.0) and (Al2O3 = 0.1) -> 2.682,\n", - " if (T = 27.5) and (TiO2 = 0.0) and (Al2O3 = 0.1) -> 3.38,\n", - " if (T = 20) and (TiO2 = 0.0) and (Al2O3 = 0.1) -> 4.66]]" + "26" ] }, - "execution_count": 9, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "[if (T = 70) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 1.194,\n", + " if (T = 70) and (TiO2 = 0.1) and (Al2O3 = 0.0) -> 1.289,\n", + " if (T = 20) and (TiO2 = 0.1) and (Al2O3 = 0.0) -> 4.885,\n", + " if (T = 27.5) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 3.18,\n", + " if (T = 27.5) and (TiO2 = 0.0) and (Al2O3 = 0.1) -> 3.38,\n", + " if (T = 27.5) and (TiO2 = 0.1) and (Al2O3 = 0.0) -> 4.236,\n", + " if (T = 20) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 6.67,\n", + " if (T = 27.5) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 5.162,\n", + " if (T = 20) and (TiO2 = 0.3) -> 7.132,\n", + " if (T = 27.5) and (TiO2 = 0.3) -> 5.405,\n", + " if (T = 40.0) and (TiO2 = 0.0) and (Al2O3 = 0.1) -> 2.682,\n", + " if (T = 40.0) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 2.097,\n", + " if (T = 40.0) and (TiO2 = 0.1) and (Al2O3 = 0.0) -> 2.726,\n", + " if (T = 40.0) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 3.842,\n", + " if (T = 40.0) and (TiO2 = 0.3) -> 3.958,\n", + " if (T = 42.5) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 1.629,\n", + " if (T = 42.5) and (TiO2 = 0.0) and (Al2O3 = 0.1) -> 1.897,\n", + " if (T = 42.5) and (TiO2 = 0.1) and (Al2O3 = 0.0) -> 2.109,\n", + " if (T = 48.75) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 1.548,\n", + " if (T = 48.75) and (TiO2 = 0.1) and (Al2O3 = 0.0) -> 1.662,\n", + " if (T = 20) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 3.707,\n", + " if (T = 20) and (TiO2 = 0.0) and (Al2O3 = 0.1) -> 4.66,\n", + " if (T = 48.75) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 2.293,\n", + " if (T = 70) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 1.728,\n", + " if (T = 48.75) and (TiO2 = 0.3) -> 2.688,\n", + " if (T = 70) and (TiO2 = 0.3) -> 1.91]" + ] + }, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "from src.rules import simplify_and_group_rules\n", + "from src.rules import simplify_rules\n", "\n", - "clustered_rules = simplify_and_group_rules(\n", - " viscosity_train, rules, clusters_num, kmeans.labels_\n", - ")\n", - "clustered_rules" + "rules = simplify_rules(viscosity_train, rules)\n", + "display(len(rules))\n", + "rules" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "c:\\Users\\user\\Projects\\python\\fuzzy\\.venv\\Lib\\site-packages\\skfuzzy\\control\\fuzzyvariable.py:125: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", + "/Users/user/Projects/python/fuzzy-rules-generator/.venv/lib/python3.12/site-packages/skfuzzy/control/fuzzyvariable.py:125: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", " fig.show()\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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", 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", 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", 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", "text/plain": [ "
" ] @@ -893,7 +607,7 @@ { "data": { "text/plain": [ - "19" + "20" ] }, "metadata": {}, @@ -905,59 +619,62 @@ "[IF (temp[higher] AND ti[low]) AND al[low] THEN viscosity[lower]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", - " IF (temp[average] AND ti[low]) AND al[low] THEN viscosity[low]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (temp[low] AND ti[low]) AND al[low] THEN viscosity[high]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (temp[lower] AND ti[low]) AND al[low] THEN viscosity[higher]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (temp[higher] AND ti[low]) AND al[high] THEN viscosity[low]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (temp[average] AND ti[low]) AND al[high] THEN viscosity[higher]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (temp[low] AND ti[low]) AND al[high] THEN viscosity[higher]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (temp[lower] AND ti[low]) AND al[high] THEN viscosity[higher]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF temp[higher] AND ti[high] THEN viscosity[low]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF temp[average] AND ti[high] THEN viscosity[higher]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF temp[low] AND ti[high] THEN viscosity[higher]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF temp[lower] AND ti[high] THEN viscosity[higher]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", " IF (temp[higher] AND ti[average]) AND al[low] THEN viscosity[lower]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", - " IF (temp[average] AND ti[average]) AND al[low] THEN viscosity[average]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF (temp[low] AND ti[average]) AND al[low] THEN viscosity[higher]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", " IF (temp[lower] AND ti[average]) AND al[low] THEN viscosity[higher]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", - " IF (temp[average] AND ti[low]) AND al[average] THEN viscosity[average]\n", + " IF (temp[low] AND ti[low]) AND al[low] THEN viscosity[high]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", " IF (temp[low] AND ti[low]) AND al[average] THEN viscosity[high]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", + " IF (temp[low] AND ti[average]) AND al[low] THEN viscosity[higher]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (temp[lower] AND ti[low]) AND al[high] THEN viscosity[higher]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (temp[low] AND ti[low]) AND al[high] THEN viscosity[higher]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF temp[lower] AND ti[high] THEN viscosity[higher]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF temp[low] AND ti[high] THEN viscosity[higher]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (temp[average] AND ti[low]) AND al[average] THEN viscosity[average]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (temp[average] AND ti[average]) AND al[low] THEN viscosity[average]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (temp[average] AND ti[low]) AND al[high] THEN viscosity[higher]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF temp[average] AND ti[high] THEN viscosity[higher]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (temp[average] AND ti[low]) AND al[low] THEN viscosity[low]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (temp[average] AND ti[average]) AND al[low] THEN viscosity[low]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (temp[lower] AND ti[low]) AND al[low] THEN viscosity[higher]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", " IF (temp[lower] AND ti[low]) AND al[average] THEN viscosity[higher]\n", " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (temp[higher] AND ti[low]) AND al[high] THEN viscosity[low]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF temp[higher] AND ti[high] THEN viscosity[low]\n", + " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax]" ] }, @@ -970,7 +687,7 @@ "from src.rules import get_fuzzy_rules\n", "\n", "fuzzy_variables = {\"Al2O3\": al, \"TiO2\": ti, \"T\": temp, \"consequent\": viscosity}\n", - "fuzzy_rules = get_fuzzy_rules(clustered_rules, fuzzy_variables)\n", + "fuzzy_rules = get_fuzzy_rules(rules, fuzzy_variables)\n", "\n", "fuzzy_cntrl = ctrl.ControlSystem(fuzzy_rules)\n", "\n", @@ -1024,145 +741,6 @@ " viscosity[lower] : 0.0\n", "\n", "RULE #1:\n", - " IF (temp[average] AND ti[low]) AND al[low] THEN viscosity[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[average] : 0.0\n", - " - ti[low] : 1.0\n", - " - al[low] : 1.0\n", - " (temp[average] AND ti[low]) AND al[low] = 0.0\n", - " Activation (THEN-clause):\n", - " viscosity[low] : 0.0\n", - "\n", - "RULE #2:\n", - " IF (temp[low] AND ti[low]) AND al[low] THEN viscosity[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[low] : 0.0\n", - " - ti[low] : 1.0\n", - " - al[low] : 1.0\n", - " (temp[low] AND ti[low]) AND al[low] = 0.0\n", - " Activation (THEN-clause):\n", - " viscosity[high] : 0.0\n", - "\n", - "RULE #3:\n", - " IF (temp[lower] AND ti[low]) AND al[low] THEN viscosity[higher]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[lower] : 1.0\n", - " - ti[low] : 1.0\n", - " - al[low] : 1.0\n", - " (temp[lower] AND ti[low]) AND al[low] = 1.0\n", - " Activation (THEN-clause):\n", - " viscosity[higher] : 1.0\n", - "\n", - "RULE #4:\n", - " IF (temp[higher] AND ti[low]) AND al[high] THEN viscosity[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[higher] : 0.0\n", - " - ti[low] : 1.0\n", - " - al[high] : 0.0\n", - " (temp[higher] AND ti[low]) AND al[high] = 0.0\n", - " Activation (THEN-clause):\n", - " viscosity[low] : 0.0\n", - "\n", - "RULE #5:\n", - " IF (temp[average] AND ti[low]) AND al[high] THEN viscosity[higher]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[average] : 0.0\n", - " - ti[low] : 1.0\n", - " - al[high] : 0.0\n", - " (temp[average] AND ti[low]) AND al[high] = 0.0\n", - " Activation (THEN-clause):\n", - " viscosity[higher] : 0.0\n", - "\n", - "RULE #6:\n", - " IF (temp[low] AND ti[low]) AND al[high] THEN viscosity[higher]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[low] : 0.0\n", - " - ti[low] : 1.0\n", - " - al[high] : 0.0\n", - " (temp[low] AND ti[low]) AND al[high] = 0.0\n", - " Activation (THEN-clause):\n", - " viscosity[higher] : 0.0\n", - "\n", - "RULE #7:\n", - " IF (temp[lower] AND ti[low]) AND al[high] THEN viscosity[higher]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[lower] : 1.0\n", - " - ti[low] : 1.0\n", - " - al[high] : 0.0\n", - " (temp[lower] AND ti[low]) AND al[high] = 0.0\n", - " Activation (THEN-clause):\n", - " viscosity[higher] : 0.0\n", - "\n", - "RULE #8:\n", - " IF temp[higher] AND ti[high] THEN viscosity[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[higher] : 0.0\n", - " - ti[high] : 0.0\n", - " temp[higher] AND ti[high] = 0.0\n", - " Activation (THEN-clause):\n", - " viscosity[low] : 0.0\n", - "\n", - "RULE #9:\n", - " IF temp[average] AND ti[high] THEN viscosity[higher]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[average] : 0.0\n", - " - ti[high] : 0.0\n", - " temp[average] AND ti[high] = 0.0\n", - " Activation (THEN-clause):\n", - " viscosity[higher] : 0.0\n", - "\n", - "RULE #10:\n", - " IF temp[low] AND ti[high] THEN viscosity[higher]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[low] : 0.0\n", - " - ti[high] : 0.0\n", - " temp[low] AND ti[high] = 0.0\n", - " Activation (THEN-clause):\n", - " viscosity[higher] : 0.0\n", - "\n", - "RULE #11:\n", - " IF temp[lower] AND ti[high] THEN viscosity[higher]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[lower] : 1.0\n", - " - ti[high] : 0.0\n", - " temp[lower] AND ti[high] = 0.0\n", - " Activation (THEN-clause):\n", - " viscosity[higher] : 0.0\n", - "\n", - "RULE #12:\n", " IF (temp[higher] AND ti[average]) AND al[low] THEN viscosity[lower]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", @@ -1175,33 +753,7 @@ " Activation (THEN-clause):\n", " viscosity[lower] : 0.0\n", "\n", - "RULE #13:\n", - " IF (temp[average] AND ti[average]) AND al[low] THEN viscosity[average]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[average] : 0.0\n", - " - ti[average] : 0.0\n", - " - al[low] : 1.0\n", - " (temp[average] AND ti[average]) AND al[low] = 0.0\n", - " Activation (THEN-clause):\n", - " viscosity[average] : 0.0\n", - "\n", - "RULE #14:\n", - " IF (temp[low] AND ti[average]) AND al[low] THEN viscosity[higher]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - temp[low] : 0.0\n", - " - ti[average] : 0.0\n", - " - al[low] : 1.0\n", - " (temp[low] AND ti[average]) AND al[low] = 0.0\n", - " Activation (THEN-clause):\n", - " viscosity[higher] : 0.0\n", - "\n", - "RULE #15:\n", + "RULE #2:\n", " IF (temp[lower] AND ti[average]) AND al[low] THEN viscosity[higher]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", @@ -1214,20 +766,20 @@ " Activation (THEN-clause):\n", " viscosity[higher] : 0.0\n", "\n", - "RULE #16:\n", - " IF (temp[average] AND ti[low]) AND al[average] THEN viscosity[average]\n", + "RULE #3:\n", + " IF (temp[low] AND ti[low]) AND al[low] THEN viscosity[high]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", " Aggregation (IF-clause):\n", - " - temp[average] : 0.0\n", + " - temp[low] : 0.0\n", " - ti[low] : 1.0\n", - " - al[average] : 0.0\n", - " (temp[average] AND ti[low]) AND al[average] = 0.0\n", + " - al[low] : 1.0\n", + " (temp[low] AND ti[low]) AND al[low] = 0.0\n", " Activation (THEN-clause):\n", - " viscosity[average] : 0.0\n", + " viscosity[high] : 0.0\n", "\n", - "RULE #17:\n", + "RULE #4:\n", " IF (temp[low] AND ti[low]) AND al[average] THEN viscosity[high]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", @@ -1240,7 +792,160 @@ " Activation (THEN-clause):\n", " viscosity[high] : 0.0\n", "\n", - "RULE #18:\n", + "RULE #5:\n", + " IF (temp[low] AND ti[average]) AND al[low] THEN viscosity[higher]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[low] : 0.0\n", + " - ti[average] : 0.0\n", + " - al[low] : 1.0\n", + " (temp[low] AND ti[average]) AND al[low] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[higher] : 0.0\n", + "\n", + "RULE #6:\n", + " IF (temp[lower] AND ti[low]) AND al[high] THEN viscosity[higher]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[lower] : 1.0\n", + " - ti[low] : 1.0\n", + " - al[high] : 0.0\n", + " (temp[lower] AND ti[low]) AND al[high] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[higher] : 0.0\n", + "\n", + "RULE #7:\n", + " IF (temp[low] AND ti[low]) AND al[high] THEN viscosity[higher]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[low] : 0.0\n", + " - ti[low] : 1.0\n", + " - al[high] : 0.0\n", + " (temp[low] AND ti[low]) AND al[high] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[higher] : 0.0\n", + "\n", + "RULE #8:\n", + " IF temp[lower] AND ti[high] THEN viscosity[higher]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[lower] : 1.0\n", + " - ti[high] : 0.0\n", + " temp[lower] AND ti[high] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[higher] : 0.0\n", + "\n", + "RULE #9:\n", + " IF temp[low] AND ti[high] THEN viscosity[higher]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[low] : 0.0\n", + " - ti[high] : 0.0\n", + " temp[low] AND ti[high] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[higher] : 0.0\n", + "\n", + "RULE #10:\n", + " IF (temp[average] AND ti[low]) AND al[average] THEN viscosity[average]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[average] : 0.0\n", + " - ti[low] : 1.0\n", + " - al[average] : 0.0\n", + " (temp[average] AND ti[low]) AND al[average] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[average] : 0.0\n", + "\n", + "RULE #11:\n", + " IF (temp[average] AND ti[average]) AND al[low] THEN viscosity[average]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[average] : 0.0\n", + " - ti[average] : 0.0\n", + " - al[low] : 1.0\n", + " (temp[average] AND ti[average]) AND al[low] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[average] : 0.0\n", + "\n", + "RULE #12:\n", + " IF (temp[average] AND ti[low]) AND al[high] THEN viscosity[higher]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[average] : 0.0\n", + " - ti[low] : 1.0\n", + " - al[high] : 0.0\n", + " (temp[average] AND ti[low]) AND al[high] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[higher] : 0.0\n", + "\n", + "RULE #13:\n", + " IF temp[average] AND ti[high] THEN viscosity[higher]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[average] : 0.0\n", + " - ti[high] : 0.0\n", + " temp[average] AND ti[high] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[higher] : 0.0\n", + "\n", + "RULE #14:\n", + " IF (temp[average] AND ti[low]) AND al[low] THEN viscosity[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[average] : 0.0\n", + " - ti[low] : 1.0\n", + " - al[low] : 1.0\n", + " (temp[average] AND ti[low]) AND al[low] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[low] : 0.0\n", + "\n", + "RULE #15:\n", + " IF (temp[average] AND ti[average]) AND al[low] THEN viscosity[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[average] : 0.0\n", + " - ti[average] : 0.0\n", + " - al[low] : 1.0\n", + " (temp[average] AND ti[average]) AND al[low] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[low] : 0.0\n", + "\n", + "RULE #16:\n", + " IF (temp[lower] AND ti[low]) AND al[low] THEN viscosity[higher]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[lower] : 1.0\n", + " - ti[low] : 1.0\n", + " - al[low] : 1.0\n", + " (temp[lower] AND ti[low]) AND al[low] = 1.0\n", + " Activation (THEN-clause):\n", + " viscosity[higher] : 1.0\n", + "\n", + "RULE #17:\n", " IF (temp[lower] AND ti[low]) AND al[average] THEN viscosity[higher]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", @@ -1253,6 +958,31 @@ " Activation (THEN-clause):\n", " viscosity[higher] : 0.0\n", "\n", + "RULE #18:\n", + " IF (temp[higher] AND ti[low]) AND al[high] THEN viscosity[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[higher] : 0.0\n", + " - ti[low] : 1.0\n", + " - al[high] : 0.0\n", + " (temp[higher] AND ti[low]) AND al[high] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[low] : 0.0\n", + "\n", + "RULE #19:\n", + " IF temp[higher] AND ti[high] THEN viscosity[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - temp[higher] : 0.0\n", + " - ti[high] : 0.0\n", + " temp[higher] AND ti[high] = 0.0\n", + " Activation (THEN-clause):\n", + " viscosity[low] : 0.0\n", + "\n", "\n", "==============================\n", " Intermediaries and Conquests \n", @@ -1293,7 +1023,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1500,7 +1230,7 @@ "14 20 0.30 0.0 6.670 6.670 3.499157 3.170843" ] }, - "execution_count": 18, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1529,7 +1259,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -1758,7 +1488,7 @@ "16 65 0.00 0.30 2.287 2.287 1.812498 0.475" ] }, - "execution_count": 19, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1774,19 +1504,19 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'RMSE_train': 1.0977710360150494,\n", - " 'RMSE_test': 0.4076186194536602,\n", + " 'RMSE_test': 0.40761861945366024,\n", " 'RMAE_test': 0.5797504263400755,\n", " 'R2_test': 0.813200460937507}" ] }, - "execution_count": 17, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1826,7 +1556,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.7" + "version": "3.12.9" } }, "nbformat": 4,