From 046d431e59c0a2614822ebe3c8ecf81bdf815935 Mon Sep 17 00:00:00 2001
From: Jialei Ding <j.d.ding@tudelft.nl>
Date: Wed, 30 Oct 2024 09:36:05 +0100
Subject: [PATCH] Replace 23_Q1_resit.html
---
src/students/Exams/23_Q1_resit.html | 16915 +++++++++++++-------------
1 file changed, 8452 insertions(+), 8463 deletions(-)
diff --git a/src/students/Exams/23_Q1_resit.html b/src/students/Exams/23_Q1_resit.html
index 90a2d5e8..be24e0ac 100644
--- a/src/students/Exams/23_Q1_resit.html
+++ b/src/students/Exams/23_Q1_resit.html
@@ -1,8463 +1,8452 @@
-<!DOCTYPE html>
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- border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
- color: var(--jp-ui-font-color1);
- cursor: pointer;
- display: flex;
- align-items: center;
- font-size: var(--jp-ui-font-size0);
- font-weight: 600;
- text-transform: uppercase;
- user-select: none;
-}
-
-.jp-Collapser-icon {
- height: 16px;
-}
-
-.jp-Collapse-header-collapsed .jp-Collapser-icon {
- transform: rotate(-90deg);
- margin: auto 0;
-}
-
-.jp-Collapser-title {
- line-height: 25px;
-}
-
-.jp-Collapse-contents {
- padding: 0 12px;
- background-color: var(--jp-layout-color1);
- color: var(--jp-ui-font-color1);
- overflow: auto;
-}
-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
-/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
-
-/**
- * (DEPRECATED) Support for consuming icons as CSS background images
- */
-
-/* Icons urls */
-
-:root {
- --jp-icon-add-above: url(data:image/svg+xml;base64,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);
- --jp-icon-add-below: url(data:image/svg+xml;base64,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);
- --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
- --jp-icon-bell: url(data:image/svg+xml;base64,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);
- --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
- --jp-icon-bug: url(data:image/svg+xml;base64,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);
- --jp-icon-build: url(data:image/svg+xml;base64,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);
- --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
- --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
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- --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
- --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
- --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
- --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
- --jp-icon-palette: url(data:image/svg+xml;base64,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);
- --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
- --jp-icon-pdf: url(data:image/svg+xml;base64,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);
- --jp-icon-python: url(data:image/svg+xml;base64,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);
- --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
- --jp-icon-react: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMTUwIDE1MCA1NDEuOSAyOTUuMyI+CiAgPGcgY2xhc3M9ImpwLWljb24tYnJhbmQyIGpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iIzYxREFGQiI+CiAgICA8cGF0aCBkPSJNNjY2LjMgMjk2LjVjMC0zMi41LTQwLjctNjMuMy0xMDMuMS04Mi40IDE0LjQtNjMuNiA4LTExNC4yLTIwLjItMTMwLjQtNi41LTMuOC0xNC4xLTUuNi0yMi40LTUuNnYyMi4zYzQuNiAwIDguMy45IDExLjQgMi42IDEzLjYgNy44IDE5LjUgMzcuNSAxNC45IDc1LjctMS4xIDkuNC0yLjkgMTkuMy01LjEgMjkuNC0xOS42LTQuOC00MS04LjUtNjMuNS0xMC45LTEzLjUtMTguNS0yNy41LTM1LjMtNDEuNi01MCAzMi42LTMwLjMgNjMuMi00Ni45IDg0LTQ2LjlWNzhjLTI3LjUgMC02My41IDE5LjYtOTkuOSA1My42LTM2LjQtMzMuOC03Mi40LTUzLjItOTkuOS01My4ydjIyLjNjMjAuNyAwIDUxLjQgMTYuNSA4NCA0Ni42LTE0IDE0LjctMjggMzEuNC00MS4zIDQ5LjktMjIuNiAyLjQtNDQgNi4xLTYzLjYgMTEtMi4zLTEwLTQtMTkuNy01LjItMjktNC43LTM4LjIgMS4xLTY3LjkgMTQuNi03NS44IDMtMS44IDYuOS0yLjYgMTEuNS0yLjZWNzguNWMtOC40IDAtMTYgMS44LTIyLjYgNS42LTI4LjEgMTYuMi0zNC40IDY2LjctMTkuOSAxMzAuMS02Mi4yIDE5LjItMTAyLjcgNDkuOS0xMDIuNyA4Mi4zIDAgMzIuNSA0MC43IDYzLjMgMTAzLjEgODIuNC0xNC40IDYzLjYtOCAxMTQuMiAyMC4yIDEzMC40IDYuNSAzLjggMTQuMSA1LjYgMjIuNSA1LjYgMjcuNSAwIDYzLjUtMTkuNiA5OS45LTUzLjYgMzYuNCAzMy44IDcyLjQgNTMuMiA5OS45IDUzLjIgOC40IDAgMTYtMS44IDIyLjYtNS42IDI4LjEtMTYuMiAzNC40LTY2LjcgMTkuOS0xMzAuMSA2Mi0xOS4xIDEwMi41LTQ5LjkgMTAyLjUtODIuM3ptLTEzMC4yLTY2LjdjLTMuNyAxMi45LTguMyAyNi4yLTEzLjUgMzkuNS00LjEtOC04LjQtMTYtMTMuMS0yNC00LjYtOC05LjUtMTUuOC0xNC40LTIzLjQgMTQuMiAyLjEgMjcuOSA0LjcgNDEgNy45em0tNDUuOCAxMDYuNWMtNy44IDEzLjUtMTUuOCAyNi4zLTI0LjEgMzguMi0xNC45IDEuMy0zMCAyLTQ1LjIgMi0xNS4xIDAtMzAuMi0uNy00NS0xLjktOC4zLTExLjktMTYuNC0yNC42LTI0LjItMzgtNy42LTEzLjEtMTQuNS0yNi40LTIwLjgtMzkuOCA2LjItMTMuNCAxMy4yLTI2LjggMjAuNy0zOS45IDcuOC0xMy41IDE1LjgtMjYuMyAyNC4xLTM4LjIgMTQuOS0xLjMgMzAtMiA0NS4yLTIgMTUuMSAwIDMwLjIuNyA0NSAxLjkgOC4zIDExLjkgMTYuNCAyNC42IDI0LjIgMzggNy42IDEzLjEgMTQuNSAyNi40IDIwLjggMzkuOC02LjMgMTMuNC0xMy4yIDI2LjgtMjAuNyAzOS45em0zMi4zLTEzYzUuNCAxMy40IDEwIDI2LjggMTMuOCAzOS44LTEzLjEgMy4yLTI2LjkgNS45LTQxLjIgOCA0LjktNy43IDkuOC0xNS42IDE0LjQtMjMuNyA0LjYtOCA4LjktMTYuMSAxMy0yNC4xek00MjEuMiA0MzBjLTkuMy05LjYtMTguNi0yMC4zLTI3LjgtMzIgOSAuNCAxOC4yLjcgMjcuNS43IDkuNCAwIDE4LjctLjIgMjcuOC0uNy05IDExLjctMTguMyAyMi40LTI3LjUgMzJ6bS03NC40LTU4LjljLTE0LjItMi4xLTI3LjktNC43LTQxLTcuOSAzLjctMTIuOSA4LjMtMjYuMiAxMy41LTM5LjUgNC4xIDggOC40IDE2IDEzLjEgMjQgNC43IDggOS41IDE1LjggMTQuNCAyMy40ek00MjAuNyAxNjNjOS4zIDkuNiAxOC42IDIwLjMgMjcuOCAzMi05LS40LTE4LjItLjctMjcuNS0uNy05LjQgMC0xOC43LjItMjcuOC43IDktMTEuNyAxOC4zLTIyLjQgMjcuNS0zMnptLTc0IDU4LjljLTQuOSA3LjctOS44IDE1LjYtMTQuNCAyMy43LTQuNiA4LTguOSAxNi0xMyAyNC01LjQtMTMuNC0xMC0yNi44LTEzLjgtMzkuOCAxMy4xLTMuMSAyNi45LTUuOCA0MS4yLTcuOXptLTkwLjUgMTI1LjJjLTM1LjQtMTUuMS01OC4zLTM0LjktNTguMy01MC42IDAtMTUuNyAyMi45LTM1LjYgNTguMy01MC42IDguNi0zLjcgMTgtNyAyNy43LTEwLjEgNS43IDE5LjYgMTMuMiA0MCAyMi41IDYwLjktOS4yIDIwLjgtMTYuNiA0MS4xLTIyLjIgNjAuNi05LjktMy4xLTE5LjMtNi41LTI4LTEwLjJ6TTMxMCA0OTBjLTEzLjYtNy44LTE5LjUtMzcuNS0xNC45LTc1LjcgMS4xLTkuNCAyLjktMTkuMyA1LjEtMjkuNCAxOS42IDQuOCA0MSA4LjUgNjMuNSAxMC45IDEzLjUgMTguNSAyNy41IDM1LjMgNDEuNiA1MC0zMi42IDMwLjMtNjMuMiA0Ni45LTg0IDQ2LjktNC41LS4xLTguMy0xLTExLjMtMi43em0yMzcuMi03Ni4yYzQuNyAzOC4yLTEuMSA2Ny45LTE0LjYgNzUuOC0zIDEuOC02LjkgMi42LTExLjUgMi42LTIwLjcgMC01MS40LTE2LjUtODQtNDYuNiAxNC0xNC43IDI4LTMxLjQgNDEuMy00OS45IDIyLjYtMi40IDQ0LTYuMSA2My42LTExIDIuMyAxMC4xIDQuMSAxOS44IDUuMiAyOS4xem0zOC41LTY2LjdjLTguNiAzLjctMTggNy0yNy43IDEwLjEtNS43LTE5LjYtMTMuMi00MC0yMi41LTYwLjkgOS4yLTIwLjggMTYuNi00MS4xIDIyLjItNjAuNiA5LjkgMy4xIDE5LjMgNi41IDI4LjEgMTAuMiAzNS40IDE1LjEgNTguMyAzNC45IDU4LjMgNTAuNi0uMSAxNS43LTIzIDM1LjYtNTguNCA1MC42ek0zMjAuOCA3OC40eiIvPgogICAgPGNpcmNsZSBjeD0iNDIwLjkiIGN5PSIyOTYuNSIgcj0iNDUuNyIvPgogIDwvZz4KPC9zdmc+Cg==);
- --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
- --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
- --jp-icon-regex: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KICA8ZyBjbGFzcz0ianAtaWNvbjIiIGZpbGw9IiM0MTQxNDEiPgogICAgPHJlY3QgeD0iMiIgeT0iMiIgd2lkdGg9IjE2IiBoZWlnaHQ9IjE2Ii8+CiAgPC9nPgoKICA8ZyBjbGFzcz0ianAtaWNvbi1hY2NlbnQyIiBmaWxsPSIjRkZGIj4KICAgIDxjaXJjbGUgY2xhc3M9InN0MiIgY3g9IjUuNSIgY3k9IjE0LjUiIHI9IjEuNSIvPgogICAgPHJlY3QgeD0iMTIiIHk9IjQiIGNsYXNzPSJzdDIiIHdpZHRoPSIxIiBoZWlnaHQ9IjgiLz4KICAgIDxyZWN0IHg9IjguNSIgeT0iNy41IiB0cmFuc2Zvcm09Im1hdHJpeCgwLjg2NiAtMC41IDAuNSAwLjg2NiAtMi4zMjU1IDcuMzIxOSkiIGNsYXNzPSJzdDIiIHdpZHRoPSI4IiBoZWlnaHQ9IjEiLz4KICAgIDxyZWN0IHg9IjEyIiB5PSI0IiB0cmFuc2Zvcm09Im1hdHJpeCgwLjUgLTAuODY2IDAuODY2IDAuNSAtMC42Nzc5IDE0LjgyNTIpIiBjbGFzcz0ic3QyIiB3aWR0aD0iMSIgaGVpZ2h0PSI4Ii8+CiAgPC9nPgo8L3N2Zz4K);
- --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
- --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
- --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
- --jp-icon-search: url(data:image/svg+xml;base64,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);
- --jp-icon-settings: url(data:image/svg+xml;base64,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);
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- --jp-icon-tag: url(data:image/svg+xml;base64,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);
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- --jp-icon-toc: url(data:image/svg+xml;base64,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);
- --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
- --jp-icon-trusted: url(data:image/svg+xml;base64,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);
- --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
- --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
- --jp-icon-users: url(data:image/svg+xml;base64,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);
- --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
- --jp-icon-word: url(data:image/svg+xml;base64,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);
- --jp-icon-yaml: url(data:image/svg+xml;base64,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);
-}
-
-/* Icon CSS class declarations */
-
-.jp-AddAboveIcon {
- background-image: var(--jp-icon-add-above);
-}
-
-.jp-AddBelowIcon {
- background-image: var(--jp-icon-add-below);
-}
-
-.jp-AddIcon {
- background-image: var(--jp-icon-add);
-}
-
-.jp-BellIcon {
- background-image: var(--jp-icon-bell);
-}
-
-.jp-BugDotIcon {
- background-image: var(--jp-icon-bug-dot);
-}
-
-.jp-BugIcon {
- background-image: var(--jp-icon-bug);
-}
-
-.jp-BuildIcon {
- background-image: var(--jp-icon-build);
-}
-
-.jp-CaretDownEmptyIcon {
- background-image: var(--jp-icon-caret-down-empty);
-}
-
-.jp-CaretDownEmptyThinIcon {
- background-image: var(--jp-icon-caret-down-empty-thin);
-}
-
-.jp-CaretDownIcon {
- background-image: var(--jp-icon-caret-down);
-}
-
-.jp-CaretLeftIcon {
- background-image: var(--jp-icon-caret-left);
-}
-
-.jp-CaretRightIcon {
- background-image: var(--jp-icon-caret-right);
-}
-
-.jp-CaretUpEmptyThinIcon {
- background-image: var(--jp-icon-caret-up-empty-thin);
-}
-
-.jp-CaretUpIcon {
- background-image: var(--jp-icon-caret-up);
-}
-
-.jp-CaseSensitiveIcon {
- background-image: var(--jp-icon-case-sensitive);
-}
-
-.jp-CheckIcon {
- background-image: var(--jp-icon-check);
-}
-
-.jp-CircleEmptyIcon {
- background-image: var(--jp-icon-circle-empty);
-}
-
-.jp-CircleIcon {
- background-image: var(--jp-icon-circle);
-}
-
-.jp-ClearIcon {
- background-image: var(--jp-icon-clear);
-}
-
-.jp-CloseIcon {
- background-image: var(--jp-icon-close);
-}
-
-.jp-CodeCheckIcon {
- background-image: var(--jp-icon-code-check);
-}
-
-.jp-CodeIcon {
- background-image: var(--jp-icon-code);
-}
-
-.jp-CollapseAllIcon {
- background-image: var(--jp-icon-collapse-all);
-}
-
-.jp-ConsoleIcon {
- background-image: var(--jp-icon-console);
-}
-
-.jp-CopyIcon {
- background-image: var(--jp-icon-copy);
-}
-
-.jp-CopyrightIcon {
- background-image: var(--jp-icon-copyright);
-}
-
-.jp-CutIcon {
- background-image: var(--jp-icon-cut);
-}
-
-.jp-DeleteIcon {
- background-image: var(--jp-icon-delete);
-}
-
-.jp-DownloadIcon {
- background-image: var(--jp-icon-download);
-}
-
-.jp-DuplicateIcon {
- background-image: var(--jp-icon-duplicate);
-}
-
-.jp-EditIcon {
- background-image: var(--jp-icon-edit);
-}
-
-.jp-EllipsesIcon {
- background-image: var(--jp-icon-ellipses);
-}
-
-.jp-ErrorIcon {
- background-image: var(--jp-icon-error);
-}
-
-.jp-ExpandAllIcon {
- background-image: var(--jp-icon-expand-all);
-}
-
-.jp-ExtensionIcon {
- background-image: var(--jp-icon-extension);
-}
-
-.jp-FastForwardIcon {
- background-image: var(--jp-icon-fast-forward);
-}
-
-.jp-FileIcon {
- background-image: var(--jp-icon-file);
-}
-
-.jp-FileUploadIcon {
- background-image: var(--jp-icon-file-upload);
-}
-
-.jp-FilterDotIcon {
- background-image: var(--jp-icon-filter-dot);
-}
-
-.jp-FilterIcon {
- background-image: var(--jp-icon-filter);
-}
-
-.jp-FilterListIcon {
- background-image: var(--jp-icon-filter-list);
-}
-
-.jp-FolderFavoriteIcon {
- background-image: var(--jp-icon-folder-favorite);
-}
-
-.jp-FolderIcon {
- background-image: var(--jp-icon-folder);
-}
-
-.jp-HomeIcon {
- background-image: var(--jp-icon-home);
-}
-
-.jp-Html5Icon {
- background-image: var(--jp-icon-html5);
-}
-
-.jp-ImageIcon {
- background-image: var(--jp-icon-image);
-}
-
-.jp-InfoIcon {
- background-image: var(--jp-icon-info);
-}
-
-.jp-InspectorIcon {
- background-image: var(--jp-icon-inspector);
-}
-
-.jp-JsonIcon {
- background-image: var(--jp-icon-json);
-}
-
-.jp-JuliaIcon {
- background-image: var(--jp-icon-julia);
-}
-
-.jp-JupyterFaviconIcon {
- background-image: var(--jp-icon-jupyter-favicon);
-}
-
-.jp-JupyterIcon {
- background-image: var(--jp-icon-jupyter);
-}
-
-.jp-JupyterlabWordmarkIcon {
- background-image: var(--jp-icon-jupyterlab-wordmark);
-}
-
-.jp-KernelIcon {
- background-image: var(--jp-icon-kernel);
-}
-
-.jp-KeyboardIcon {
- background-image: var(--jp-icon-keyboard);
-}
-
-.jp-LaunchIcon {
- background-image: var(--jp-icon-launch);
-}
-
-.jp-LauncherIcon {
- background-image: var(--jp-icon-launcher);
-}
-
-.jp-LineFormIcon {
- background-image: var(--jp-icon-line-form);
-}
-
-.jp-LinkIcon {
- background-image: var(--jp-icon-link);
-}
-
-.jp-ListIcon {
- background-image: var(--jp-icon-list);
-}
-
-.jp-MarkdownIcon {
- background-image: var(--jp-icon-markdown);
-}
-
-.jp-MoveDownIcon {
- background-image: var(--jp-icon-move-down);
-}
-
-.jp-MoveUpIcon {
- background-image: var(--jp-icon-move-up);
-}
-
-.jp-NewFolderIcon {
- background-image: var(--jp-icon-new-folder);
-}
-
-.jp-NotTrustedIcon {
- background-image: var(--jp-icon-not-trusted);
-}
-
-.jp-NotebookIcon {
- background-image: var(--jp-icon-notebook);
-}
-
-.jp-NumberingIcon {
- background-image: var(--jp-icon-numbering);
-}
-
-.jp-OfflineBoltIcon {
- background-image: var(--jp-icon-offline-bolt);
-}
-
-.jp-PaletteIcon {
- background-image: var(--jp-icon-palette);
-}
-
-.jp-PasteIcon {
- background-image: var(--jp-icon-paste);
-}
-
-.jp-PdfIcon {
- background-image: var(--jp-icon-pdf);
-}
-
-.jp-PythonIcon {
- background-image: var(--jp-icon-python);
-}
-
-.jp-RKernelIcon {
- background-image: var(--jp-icon-r-kernel);
-}
-
-.jp-ReactIcon {
- background-image: var(--jp-icon-react);
-}
-
-.jp-RedoIcon {
- background-image: var(--jp-icon-redo);
-}
-
-.jp-RefreshIcon {
- background-image: var(--jp-icon-refresh);
-}
-
-.jp-RegexIcon {
- background-image: var(--jp-icon-regex);
-}
-
-.jp-RunIcon {
- background-image: var(--jp-icon-run);
-}
-
-.jp-RunningIcon {
- background-image: var(--jp-icon-running);
-}
-
-.jp-SaveIcon {
- background-image: var(--jp-icon-save);
-}
-
-.jp-SearchIcon {
- background-image: var(--jp-icon-search);
-}
-
-.jp-SettingsIcon {
- background-image: var(--jp-icon-settings);
-}
-
-.jp-ShareIcon {
- background-image: var(--jp-icon-share);
-}
-
-.jp-SpreadsheetIcon {
- background-image: var(--jp-icon-spreadsheet);
-}
-
-.jp-StopIcon {
- background-image: var(--jp-icon-stop);
-}
-
-.jp-TabIcon {
- background-image: var(--jp-icon-tab);
-}
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-/*-----------------------------------------------------------------------------
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-/*-----------------------------------------------------------------------------
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-| Copyright (c) 2014-2017, Jupyter Development Team.
-|
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-/*-----------------------------------------------------------------------------
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-| Distributed under the terms of the Modified BSD License.
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-/*-----------------------------------------------------------------------------
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-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
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-/*-----------------------------------------------------------------------------
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-|----------------------------------------------------------------------------*/
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-/*-----------------------------------------------------------------------------
-| CSS variables
-|----------------------------------------------------------------------------*/
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-| - Cell
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-/*-----------------------------------------------------------------------------
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-|----------------------------------------------------------------------------*/
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- background-repeat: no-repeat;
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-div.jp-Cell-Placeholder-content-3 {
- top: 140px;
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-
-</style>
-<style type="text/css">
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
-/*
-The following CSS variables define the main, public API for styling JupyterLab.
-These variables should be used by all plugins wherever possible. In other
-words, plugins should not define custom colors, sizes, etc unless absolutely
-necessary. This enables users to change the visual theme of JupyterLab
-by changing these variables.
-
-Many variables appear in an ordered sequence (0,1,2,3). These sequences
-are designed to work well together, so for example, `--jp-border-color1` should
-be used with `--jp-layout-color1`. The numbers have the following meanings:
-
-* 0: super-primary, reserved for special emphasis
-* 1: primary, most important under normal situations
-* 2: secondary, next most important under normal situations
-* 3: tertiary, next most important under normal situations
-
-Throughout JupyterLab, we are mostly following principles from Google's
-Material Design when selecting colors. We are not, however, following
-all of MD as it is not optimized for dense, information rich UIs.
-*/
-
-:root {
- /* Elevation
- *
- * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
- *
- * https://github.com/material-components/material-components-web
- * https://material-components-web.appspot.com/elevation.html
- */
-
- --jp-shadow-base-lightness: 0;
- --jp-shadow-umbra-color: rgba(
- var(--jp-shadow-base-lightness),
- var(--jp-shadow-base-lightness),
- var(--jp-shadow-base-lightness),
- 0.2
- );
- --jp-shadow-penumbra-color: rgba(
- var(--jp-shadow-base-lightness),
- var(--jp-shadow-base-lightness),
- var(--jp-shadow-base-lightness),
- 0.14
- );
- --jp-shadow-ambient-color: rgba(
- var(--jp-shadow-base-lightness),
- var(--jp-shadow-base-lightness),
- var(--jp-shadow-base-lightness),
- 0.12
- );
- --jp-elevation-z0: none;
- --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
- 0 1px 1px 0 var(--jp-shadow-penumbra-color),
- 0 1px 3px 0 var(--jp-shadow-ambient-color);
- --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
- 0 2px 2px 0 var(--jp-shadow-penumbra-color),
- 0 1px 5px 0 var(--jp-shadow-ambient-color);
- --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
- 0 4px 5px 0 var(--jp-shadow-penumbra-color),
- 0 1px 10px 0 var(--jp-shadow-ambient-color);
- --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
- 0 6px 10px 0 var(--jp-shadow-penumbra-color),
- 0 1px 18px 0 var(--jp-shadow-ambient-color);
- --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
- 0 8px 10px 1px var(--jp-shadow-penumbra-color),
- 0 3px 14px 2px var(--jp-shadow-ambient-color);
- --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
- 0 12px 17px 2px var(--jp-shadow-penumbra-color),
- 0 5px 22px 4px var(--jp-shadow-ambient-color);
- --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
- 0 16px 24px 2px var(--jp-shadow-penumbra-color),
- 0 6px 30px 5px var(--jp-shadow-ambient-color);
- --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
- 0 20px 31px 3px var(--jp-shadow-penumbra-color),
- 0 8px 38px 7px var(--jp-shadow-ambient-color);
- --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
- 0 24px 38px 3px var(--jp-shadow-penumbra-color),
- 0 9px 46px 8px var(--jp-shadow-ambient-color);
-
- /* Borders
- *
- * The following variables, specify the visual styling of borders in JupyterLab.
- */
-
- --jp-border-width: 1px;
- --jp-border-color0: var(--md-grey-400);
- --jp-border-color1: var(--md-grey-400);
- --jp-border-color2: var(--md-grey-300);
- --jp-border-color3: var(--md-grey-200);
- --jp-inverse-border-color: var(--md-grey-600);
- --jp-border-radius: 2px;
-
- /* UI Fonts
- *
- * The UI font CSS variables are used for the typography all of the JupyterLab
- * user interface elements that are not directly user generated content.
- *
- * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
- * is applied to a parent element. When children elements, such as headings, are sized
- * in em all things will be computed relative to that body size.
- */
-
- --jp-ui-font-scale-factor: 1.2;
- --jp-ui-font-size0: 0.83333em;
- --jp-ui-font-size1: 13px; /* Base font size */
- --jp-ui-font-size2: 1.2em;
- --jp-ui-font-size3: 1.44em;
- --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
- helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
- 'Segoe UI Symbol';
-
- /*
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-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<h1 id="Resit-23/24-Q1">Resit 23/24 Q1<a class="anchor-link" href="#Resit-23/24-Q1">¶</a></h1><h1 style="position: absolute; display: flex; flex-grow: 0; flex-shrink: 0; flex-direction: row-reverse; top: 60px;right: 30px; margin: 0; border: 0">
-<style>
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-</h1>
-<h2 style="height: 20px">
-</h2>
-<p><em><a href="http://mude.citg.tudelft.nl/">CEGM1000 MUDE</a></em></p>
-</div>
-</div>
-</div>
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-<div class="jp-Cell-inputWrapper" tabindex="0">
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-<h2 id="Exercise-1:-Programming">Exercise 1: Programming<a class="anchor-link" href="#Exercise-1:-Programming">¶</a></h2>
-</div>
-</div>
-</div>
-</div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper" tabindex="0">
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-<p><strong>A. You are discretizing a single-valued differential equation $f(x,t)$ in time and pre-allocating a list or array to store the results at each time step. Which of the following commands is appropriate?</strong></p>
-<ul>
-<li>np.linspace(0, time_max, n_point)</li>
-<li>np.discretize(0, time_max, n_point)</li>
-<li>range(0, time_max)</li>
-<li>range(0, time_max, n_point)</li>
-</ul>
-</div>
-</div>
-</div>
-</div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper" tabindex="0">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<p><strong>Model answer</strong></p>
-<ul>
-<li>np.linspace(0, time_max, n_point)</li>
-</ul>
-</div>
-</div>
-</div>
-</div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper" tabindex="0">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<hr/>
-</div>
-</div>
-</div>
-</div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper" tabindex="0">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<p><strong>B. Which of the following methods is the best method to provide information on the rows and columns of a Pyhton object?</strong></p>
-<ul>
-<li>sort()</li>
-<li>shape()</li>
-<li>size()</li>
-<li>dimensions()</li>
-<li>rows_and_columns()</li>
-</ul>
-</div>
-</div>
-</div>
-</div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper" tabindex="0">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<p><strong>Model answer</strong></p>
-<ul>
-<li>shape()</li>
-</ul>
-</div>
-</div>
-</div>
-</div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper" tabindex="0">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<hr/>
-</div>
-</div>
-</div>
-</div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper" tabindex="0">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<p><strong>C. Sketch the file structure of a typical weekly MUDE repository that includes at least three key file types or directories. Inlcude a short explanation and description of each item listed. Your answers should demonstrate how files in the MUDE repository were generalaly organized and used.</strong></p>
-<p><em>Note: if you are from the 2022-23 (MUDE year 1) you do not need to answer this question (write your year in the space provided).</em></p>
-</div>
-</div>
-</div>
-</div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper" tabindex="0">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<p><strong>Model answer</strong></p>
-<p>A good answer would have listed several file types or directories and clearly explained what they were used for. For example, a <code><span>*</span>.ipynb</code> file was used to conduct analysis and execute code, or a <code><span>*</span>.md</code> file was used to answer project questions.</p>
-<p>A bad answer would have listed directories and files in an arbitrary way and provided a vague set of words that may or may not loosely correlate to specific things that happened to have occurred during the semester, but do not form any sort of coherent explanation about our activities.</p>
-</div>
-</div>
-</div>
-</div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper" tabindex="0">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<hr/>
-</div>
-</div>
-</div>
-</div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper" tabindex="0">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<h2 id="Exercise-2:-Estimation-and-uncertainty-propagation">Exercise 2: Estimation and uncertainty propagation<a class="anchor-link" href="#Exercise-2:-Estimation-and-uncertainty-propagation">¶</a></h2><p>The height of a point is observed 5 times at a monthly interval, all observables are independent; see figure. It is assumed that the point is subsiding at a constant rate $v$.</p>
-</div>
-</div>
-</div>
-</div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper" tabindex="0">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<p><strong>A. In the figure below, sketch the estimated linear trend line and confidence intervals assuming:</strong></p>
-<ul>
-<li><strong>the initial height $x_0$ at $t_1=0$ is <em>unknown</em> and estimated with best linear unbiased estimation; and</strong></li>
-<li><strong>the subsidence rate is <em>known</em> to be $v=-0.2$ m/month.</strong></li>
-</ul>
-<p><em>Note that no calculations are required for this question. You may assume an arbitrary confidence level, and importance should be placed on the shape and relation to trend line.</em></p>
-</div>
-</div>
-</div>
-</div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper" tabindex="0">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<p><strong>Model answer</strong></p>
-<p><img alt="image.png" 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"/></p>
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-<p>Assume that again the initial height is unknown, but now the subsidence rate is estimated with an independent set of observations, the precision of the estimated rate is $\sigma_{\hat{V}}=0.1$ m/month. The 'corrected' observables are this given by:
-$$Y_i = Y_{i,o}-\hat{V}\cdot t_i$$
-The $Y_{i,o}$ are independent and have a precision of 0.1 m.</p>
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-<p><strong>B. Specify the stochastic model with $Y=[Y_1, \dots, Y_5]^T$ as the observables.</strong></p>
-<p>Hint: first write the new observables vector as:</p>
-<p>$ Y=T\begin{bmatrix}Y_{1,o}\\ Y_{2,o} \\ \vdots\\ Y_{5,o} \\ \hat{V}\\\end{bmatrix}$</p>
-<p>where you have to define $T$.</p>
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-<p><strong>Model answer</strong></p>
-<p>$\Sigma_{Y} = T \Sigma_{Y_o} T^T =
-\begin{bmatrix} 1 & 0 & 0 & 0 & 0 & 0 \\
- 0 & 1 & 0 & 0 & 0 & -1 \\
- 0 & 0 & 1 & 0 & 0 & -2 \\
- 0 & 0 & 0 & 1 & 0 & -3 \\
- 0 & 0 & 0 & 0 & 1 & -4 \\ \end{bmatrix} 0.1^2 I_6
-\begin{bmatrix} 1 & 0 & 0 & 0 & 0 & 0 \\
- 0 & 1 & 0 & 0 & 0 & -1 \\
- 0 & 0 & 1 & 0 & 0 & -2 \\
- 0 & 0 & 0 & 1 & 0 & -3 \\
- 0 & 0 & 0 & 0 & 1 & -4 \\ \end{bmatrix}^T$</p>
-<p>$\Sigma_{Y_o}$ is the covariance matrix of the vector with original observables and estimated rate, which all have a precision of 0.1.</p>
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-<h2 id="Exercise-3:-Observation-theory">Exercise 3: Observation theory<a class="anchor-link" href="#Exercise-3:-Observation-theory">¶</a></h2><p>The concentration of particulate matter (PM10) is observed 6 times in a row: 3 times with device A and 3 times with device B. The observations are all assumed to have the same standard deviation of 1 $\mu\hspace{-0.1cm}$ g/m<sup>3</sup> and to be independent. Furthermore, it is assumed that the actual (true) concentration of PM10 did not change during the time that the 6 observations were made.</p>
-<p>The observations from device A are: 26, 27 and 23 $\mu\hspace{-0.1cm}$ g/m<sup>3</sup>, respectively.
-The observations from device B are: 30, 29 and 27 $\mu\hspace{-0.1cm}$ g/m<sup>3</sup>, respectively.</p>
-<p>It needs to be tested whether or not there is a constant offset between the observations of the 2 instruments. The null-hypothesis $\mathcal{H}_0$ is that there is <strong>no</strong> offset and the PM10 is constant during the time of the observations. The alternative hypothesis $\mathcal{H}_a$ reads that PM10 is constant during the time of the observations but that there is a constant offset $\nabla$ between the observations of both devices.</p>
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-<p><strong>A. Specify the functional and stochastic model under the two hypotheses.</strong></p>
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-<p><strong>Model answer</strong></p>
-<p>$\mathcal{H}_0: \mathbb{E}(\begin{bmatrix}Y_1\\ Y_2 \\ Y_3 \\ Y_4 \\ Y_5 \\ Y_6 \\ \end{bmatrix})=\begin{bmatrix} 1 \\ 1 \\ 1 \\ 1 \\ 1 \\ 1 \\ \end{bmatrix} \begin{bmatrix} x \end{bmatrix}$</p>
-<p>$\mathcal{H}_a : \mathbb{E}(\begin{bmatrix}Y_1\\ Y_2 \\ Y_3 \\ Y_4 \\ Y_5 \\ Y_6 \\ \end{bmatrix})=\begin{bmatrix} 1 & 0 \\ 1 & 0 \\ 1 & 0 \\ 1 & 1 \\ 1 & 1 \\ 1 & 1 \\ \end{bmatrix} \begin{bmatrix} x \\ \nabla \end{bmatrix}$</p>
-<p>For both hypotheses the stochastic model is $\Sigma_Y = I_6$.</p>
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-<p><strong>B. Apply the appropriate test to check the validity of $\mathcal{H}_0$ with false alarm probability $\alpha=0.005$. Explain whether or not $\mathcal{H}_0$ is accepted?</strong></p>
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-<p><strong>Model answer</strong></p>
-<p>$\hat{x} = (A^T \cdot I \cdot A)^{-1} A^T \cdot I \cdot y = \frac{1}{6} \sum_{i=1}^6 y_i = 27$</p>
-<p>$\hat{\epsilon} = y - A \hat{x} = \begin{bmatrix} -1 & 0 & -4 & 3 & 2 & 0 \end{bmatrix}^T$</p>
-<p>$T_5 = \hat{\epsilon}^T \cdot I \cdot \hat{\epsilon} = 30$</p>
-<p>$K_{\alpha}=16.75$ (look up in table for $\chi^2$-distribution with 5 degrees of freedom).</p>
-<p>The null-hypothesis is rejected since $T_5>K_{\alpha}$.</p>
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-<p><strong>C. Assume now that we used a too optimistic standard deviation, both devices in fact have a precision of 3 $\mu\hspace{-0.1cm}$ g/m<sup>3</sup>. Show/explain how this affects the decision in the previous question.</strong></p>
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-<p><strong>Model answer</strong></p>
-<p>Here the value of the test statistic was computed as $T_5 = \hat{\epsilon}^T \cdot I \cdot \hat{\epsilon}$, whereas it should have been $T_5 = \hat{\epsilon}^T \cdot \frac{1}{3^2} I \cdot \hat{\epsilon}$ (note that the estimated parameters are not affected by the different standard deviation). Hence, the test statistic should have been divided by 9, resulting in a value which would have been smaller than the critical value and thus in acceptance of $\mathcal{H}_0$.</p>
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-<h2 id="Exercise-4:-Numerical-modelling">Exercise 4: Numerical modelling<a class="anchor-link" href="#Exercise-4:-Numerical-modelling">¶</a></h2>
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-<p><strong>A. For an arbitrary function $f(x)$ that is continuously differentiable, derive the Forward Euler approximation, beginning with a Taylor series expansion. Express your answer in a series of steps with a short description (1 sentence max) of each step to go along with the derivation. Include a sketch that illustrates how the Forward Euler expression approximates the arbitrary function $f(x)$; label the figure appropriately.</strong></p>
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-<p><strong>Model answer</strong></p>
-<p>Note: the notation here can vary from your answer, as we used several ways of representing the increment during the year (e.g., $h$ versus $\Delta x$).</p>
-<p>Given the Taylor series expanded about a point $a$, namely:</p>
-<p>$f(a)+f'(a)(x-a)+\frac{f''(a)}{2!}(x-a)^2+O$.</p>
-<p>Let's consider $(x-a)=\Delta x$ where $\Delta x$ is an incremental step in the $x$ direction and expand the series at any arbitrary point $x$. We can equivalently restate the Taylor series as</p>
-<p>$f(x+\Delta x)=f(x)+f'(x)\Delta x + f''(x)\frac{\Delta x ^2}{2!} + ...$</p>
-<p>Truncate the series to isolate the approximation of first derivative to find</p>
-<p>$f(x+\Delta x) \thickapprox f(x) + f'(x) \Delta x$</p>
-<p>Rearranging to approximate the first derivative (and dropping the $\thickapprox$ symbol), we find</p>
-<p>$f'(x) = \frac{f(x+\Delta x)-f(x)}{\Delta x}$</p>
-<p>In practice, we use this formulation to determine the next (forward) point by using this approximation to approximate the slope at a point, and use this to extrapolate the next by</p>
-<p>$f(x_{n+1})=f(x_n)+f'(x_n)\Delta x$</p>
-<p>Which effectively determines the point forward by approximating the slope at a point $x$ to estimate the function over a step $\Delta x$.</p>
-<p>Graphically, the forward Euler estimates the slope at point $\Delta x$ and uses the slope to estimate the following point ($x + \Delta x$).</p>
-<p><img alt="image.png" 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-<p><em>The next questions are completely unrelated to the previous question.</em></p>
-<p>A colleague has mentioned that they are working on processing data from a sensor that appears to behave like a damped harmonic oscillator. They decided to model the sensor output using an explicit method. They mention that there is some instability, but don't know how to fix it. Consider the sketch provided by your colleague and then answer the following questions. The figure shows a numerical analysis ("Line 1") compared with the sensor output $y(t)$ ("Line 2").</p>
-<p><img alt="instability_sketch.png" 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-<p><strong>B. Describe what you would suggest to your colleague to help with their model, and justify your answer briefly (2 sentences max.).</strong></p>
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-<p><strong>Model answer</strong></p>
-<p>The colleague uses an explicit scheme, so switching to an implicit scheme like backward Euler is generally much more stable in these instances. You could also decrease the time step, which generally improves stability; we can also see clearly that the time steps in the sketch are large, which leads to a bad approximation of the function.</p>
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-<p><strong>C. Which of the following should you evaluate to gain additinoal understanding about stability of the numerical approach?</strong></p>
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-<li>Initial conditions of the system</li>
-<li>Eigenvalue of the system</li>
-<li>Time-step size</li>
-<li>Order of the polynomial being modelled</li>
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-<p><strong>Model answer</strong></p>
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-<li>Time-step size</li>
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-<p><strong>D. Recalling that the general expression for a damped oscillator is of the form</strong></p>
-<p><strong>$$m\frac{d^2y(t)}{dt^2}+c\frac{dy(t)}{dt}+ky(t)=0$$</strong></p>
-<p><strong>which method(s) might help to numerically model the signal?</strong> <em>(you may selec more than one, or none)</em></p>
-<ul>
-<li>Implicit (backward) Euler method</li>
-<li>Riemann method</li>
-<li>Runge-Kutta method</li>
-<li>Trapezoidal rule</li>
-<li>Gauss integration method</li>
-<li>Simpson's rule</li>
-</ul>
-</div>
-</div>
-</div>
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-<p><strong>Model answer</strong></p>
-<ul>
-<li>Implicit (backward) Euler method</li>
-<li>Runge-Kutta method</li>
-</ul>
-</div>
-</div>
-</div>
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-<hr/>
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-<h2 id="Exercise-5:-Probability-&-Reliability">Exercise 5: Probability & Reliability<a class="anchor-link" href="#Exercise-5:-Probability-&-Reliability">¶</a></h2><p>A climate scientist is performing a study about rainfall and the ice content in the clouds. $X$ is the daily rainfall in a city in mm. After several years of measurements, it has been discovered that the cumulative distribution function of $X$ is given by an exponential distribution with parameter $\lambda=0.05$.</p>
-</div>
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-<p><strong>A. What is $P[X \leq 20 \hspace{0.1cm}\text{mm}]$? Round to two decimal figures.</strong></p>
-</div>
-</div>
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-<p><strong>Model answer</strong></p>
-<p>$P[X \leq 20 \hspace{0.1cm}\text{mm}] = 1 - e^{- \lambda x} = 1 - e^{-0.05 \times 20}=0.63$.</p>
-</div>
-</div>
-</div>
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-<hr/>
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-<p><strong>B. The researcher wants to design for the value of $X$ which is exceeded with a probability of 0.01. What is the design values? Round to two decimal figures.</strong></p>
-</div>
-</div>
-</div>
-</div>
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<p><strong>Model answer</strong></p>
-<p>$P[X \ge x] = 0.01 \to P[X \leq x] = 1 - 0.01 =0.99$</p>
-<p>$0.99=1 - e^{- \lambda x} \to x=92.10$ mm.</p>
-</div>
-</div>
-</div>
-</div>
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-<hr/>
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-<p>The researcher also wants to investigate the content of ice in the clouds (kg/m<sup>2</sup>), denoted here by $Y$. After a field campaign, the following statistics of $Y$ are calculated.</p>
-<table>
-<thead>
-<tr>
-<th style="text-align:center"></th>
-<th></th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:center">Mean</td>
-<td>55.5</td>
-</tr>
-<tr>
-<td style="text-align:center">Standard deviation</td>
-<td>11.2</td>
-</tr>
-<tr>
-<td style="text-align:center">Minimum value</td>
-<td>3.1</td>
-</tr>
-<tr>
-<td style="text-align:center">P25%</td>
-<td>50.7</td>
-</tr>
-<tr>
-<td style="text-align:center">P50%</td>
-<td>57.8</td>
-</tr>
-<tr>
-<td style="text-align:center">P75%</td>
-<td>63.2</td>
-</tr>
-<tr>
-<td style="text-align:center">Maximum value</td>
-<td>76.1</td>
-</tr>
-</tbody>
-</table>
-</div>
-</div>
-</div>
-</div>
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<p><strong>C. Which of the following distributions would be the best fit to the variable $Y$ based on the previous statistics:</strong></p>
-<ul>
-<li>Gaussian</li>
-<li>Left-tailed Gumbel</li>
-<li>Uniform</li>
-</ul>
-</div>
-</div>
-</div>
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-<p><strong>Model answer</strong></p>
-<ul>
-<li>Left-tailed Gumbel</li>
-</ul>
-</div>
-</div>
-</div>
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-<hr/>
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-<p><strong>D. Justify your choice with at least one reason that justifies your decision.</strong></p>
-</div>
-</div>
-</div>
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<p><strong>Model answer</strong></p>
-<p>Statistics show a left tail (compare the distance between the minimum value and the P25 and the P25 and P50). Neither the Uniform nor the Gaussian present a tail.</p>
-</div>
-</div>
-</div>
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-<hr/>
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
-<p>Now the researcher wants to dive into the relationship between $X$ and $Y$.</p>
-</div>
-</div>
-</div>
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-<p><strong>E. A high positive correlation between both random variables is observed. Provide an explanation of what that means in 1 or 2 sentences. Give a numeric range for positive correlation.</strong></p>
-</div>
-</div>
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-<p><strong>Model answer</strong></p>
-<p>If a high positive correlation exists between $X$ and $Y$, it means that high values of $X$ have a high association with high values of $Y$, and the other way around. This is, if a observe a high value of $X$, there is a very high change that I will also observe a high value of $Y$. Same holds for low values. Positive correlation is $\ge 0$ to $+1$.</p>
-</div>
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-<p><strong>F. The researcher models the joint probability of $X$ and $Y$ using a bivariate Gaussian distribution. Which probability is equivalent to the multivariate Gaussian cumulative distribution function $F_{X,Y}(X=x, Y=y)$?</strong></p>
-<ul>
-<li>$P[X \ge x \hspace{0.1cm}\textbf{AND}\hspace{0.1cm} Y \ge y]$</li>
-<li>$P[X \ge x \hspace{0.1cm}\textbf{OR}\hspace{0.1cm} Y \ge y]$</li>
-<li>$P[X \leq x \hspace{0.1cm}\textbf{AND}\hspace{0.1cm} Y \leq y]$</li>
-<li>$P[X \leq x \hspace{0.1cm}\textbf{OR}\hspace{0.1cm} Y \leq y]$</li>
-</ul>
-</div>
-</div>
-</div>
-</div>
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-<p><strong>Model answer</strong></p>
-<ul>
-<li>$P[X \leq x \hspace{0.1cm}\textbf{AND}\hspace{0.1cm} Y \leq y]$</li>
-</ul>
-</div>
-</div>
-</div>
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-<p>The following plots show the possible contour plots of the bivariate PDF of $X$ and $Y$.</p>
-<p><em>Use them to answer the following two questions.</em></p>
-<p><img alt="image.png" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAj4AAACXCAIAAACa3Mb0AAAAAXNSR0IArs4c6QAAIABJREFUeAHsfQV7G0m29v0D9y98d+/y3ZmdndnZTCaZzITJcWKImSFmppiZQSZZlgVmmZnZMjMzs8yyLLBY6u9ptyLLsuJxHMVxYveTJ65udVedOtVvn6pTB/4LuD6uOXDNgU/AAT6f/wlqva7ymgPXHAA58F/XbLjmwDUHrjlwzYFrDnwpHIAmhdei60sZr2s6rzlwzYFrDlxzALgWXdcvwTUHrjlwzYFrDnxhHLiKouvg4IBCoZwcKCKReL0zcZItn/0KkUhksVh7e3s8Hk9IDJvN3tvbE55eF645cM2BK8WBKye6eDyejY1NS0vLyWEOCgpKT08/ef36ymfkQGNjo6ur6+TkpJycHIvFElJCoVBMTU3Hx8eFV64Ll4EDFApFdIYBkUQmky8Dbdc0iHGATCaLTtYPDg7YbDaHw6HRaGJ3XsLTKye6mpqaVFVVuVzu1tZWUVFRenq68PM3ODioqKhIp9Mv4ThdWZJ0dXVramqWl5efPXvW1NSUmpo6OTkJcQOBQDg7O19ZzlzCjg8ODlpZWTEYDDHaPD09KyoqxC5en35eDrS2tjo4OHC5XCEZtra2JSUlFArF3Nx8dXVVeP1yFq6c6HJ2dg4LCwMAoLOzMzIyEoFAaGpq1tXVAQC476ekpITH4y/nUF1Bqubm5p4/f06j0ZaWlv7whz+YmZm5urreuXOnq6sLAICZmZknT55cz+gvz4thbW2NxWIBAODxeHV1dbm5udC8sLGxUUND4+Rq7PJQfgUpMTQ0zM/PBwCARCLl5+f39PQYGhricDgAAHx9fUNDQy85T66c6JKTk4MmgAQCITQ01NfX98GDB9bW1tA4mZiYxMTEXPIxuzrklZaWysvLAwAwNTX1f//3f4uLiwAAeHl5GRsbQ5C7f//+zMzM1WHIZe7pzs6OjIzMysoKm802MjJSVVV1dXWNj4/ncrkMBkNWVnZkZOQy03+laFtcXHz+/Pne3t7+/r6cnJyhoaG7u/tf/vKXkpISAAB6e3tfvnzJZDIvM0+unOh68eJFQ0MDAADq6uo+Pj6Dg4MuLi5v3ryBBsnc3BwGg13mAbtStBUWFiooKAAAMD4+fv/+/YODAwAAEhMTNTQ0AAAgk8n3798X6g+vFGcuYWdbW1ufP38OAEBBQcGjR49ENyYBANDW1k5NTb2EZF9NksrKyqBJIRKJVFZWBgCAzWbfu3cvLy8PAICNjY27d++ura1dZuZcOdFlbm4O6TTu379fUVGxvr7+8OFDNTU1aJDU1dWLi4sv84BdKdqGhoZkZGQ4HM7CwsJ///d/43C4xcXFly9fQirflZWVBw8ebG9vXymeXNrONjQ0QKIrKirKwMBAjE49PT00Gi128fr0c3GgoKAAmhR6eHg4OjpCZBgYGGRmZgIAsLW1dffu3aWlpc9F3lnavXKiKy8vT19fHwCA2tpaBQUFS0tLCwsLSLG7vLz84sWL3d3dszDu+p4L4ACXy1VUVOzp6dnc3NTU1HR2dlZWVnZycoKWXzk5OUZGRtAbfAHEXDdxOgdmZ2efPXtGo9EGBgZu3rzZ0dFBJBIXFxf5h4eCgsL1LvLpDLzIX/v7+2VkZLhcbm1t7Z07dxYWFkZGRv7nf/4H2v2anp5+9OjRJd9FvnKii0ql6ujoQGp3Ho/HZrOFbwwcDr/8m5NCaq9IAYfDubq6CuWTUP/O4XBMTEwaGxuvCB8ufzf5fL66unp1dTUAABkZGQoKClpaWnFxcTweb2ZmRlZWVqIz5eXv11dJIZvNlpeX7+npAQAgJCREVlYWmhfW1tZCOnkrK6tL3vGPEl1cLhea/wo7+UVYlk9NTc3PzwtpFhZ6e3v39/eFp19fgUajCWUAAABfxGCxWKyurq6TxmkHBwcQ8L6+Yfpye5Sfn29jYwMNFovF2t/fh2yvQ0JCrq2fLtuwJicnu7m5QVRRqVRoEs/j8eh0ur6+fmdn52UjWIye84uu3t5ec3NzIyMjBALB5XIJBIKlpaWWllZaWppYG9enn50DBwcHkZGRxsbGFhYWY2NjAACkpqZqampaWloSCITPTt41ASc5wOFwRC+K+t+IXr9UZQ6H09LSImagAQBAa2vr173kElXeAADwRQwWg8FoaWk5Ser+/n5HR8eleq8kEnN+0WViYpKRkQGZva6vr/v4+MTExKytrSkqKgqdfCU2eX3x4jnQ09MjJyfH4/HgcLiXl9fKyoqCgsLq6ioCgXj79u3F03Pd4ikcGB4etra2NjY2xmKxPB5va2vLzs5OW1s7Nzf3lKeuf/osHGAwGAgEwtjY2NbWdnp6GgCA7OxsLS0tOzu7ra2tz0LSFWn0/KKrurpaTU3N2tra09OTyWTq6elBI+fi4iLEWEtLy9u3bx0dHc3MzN5eHx/CAWdnZ3t7e2kZZZHJZFtbWwcHB1VV1eHh4dLSUhcXFwAAJicn9fT0oAk+jUYLDw93cXGxtLS0sbFxcXH5EHqv+r0Q3xYWFj7+w2FiYpKamkqhUF68eLG+vh4QEBAWFjY3N6egoDA1NfXx9V/XIEUOCF2goqKivLy8CASCvLz87OxsZGSkUB0nxeauqxJy4PyiCwaDxcTEVFdXW1hYTE1NGRsbQ86hrq6uQtG1s7MzOjqKx+Pl5OSGhoZGRkaGr4+zcWBsbKyoqOikkbFw5D6oMD4+bm1tXVtbGxISgsFgSkpKXF1dxUQXh8OZOjxsbW2DgoKmpqbORun1XSAHpqam9PX16+vrP2hcJN5cVlamo6Pj7Ozs4eHBYDD09fUhieXs7Ay53QAA0N7e7unp6e7u7uDg4Hl9fAgHvLy83NzcpLWvsbe3Z2Nj4+HhoaWl1d/fX15eDgUnm5yc1NXVFU4KY2JivL2937596+Li4u3t/SH0XvV7Ib4tLy+LgeX8oktJSamxsZHL5SorK/f39/v5+cXFxW1sbCgqKo6Ojoo2Q6FQbG1tRa9cl8/CgaWlJQcHh7Pc+bv3lJSUaGpqAgBQVFRkZma2sLCgqKi4sbGBQqGcnJzEHk9ISLh2bhPjyVlOg4KCpGLxCFm6FhQUWFhYzM7OGhkZzc7OAgDg6uqak5MDUbKxsdHT01NZWfnixYvOzs7u7u6u6+NsHOjt7c3KyoI8ZM4yrKffMz09bW1tXVRU5OPjk5qaWlxcDC22RPUZHA5n6PCwsLCAwiCcjdLru0AODA0NaWlpnZwUnl904fF4Q0NDIyOjiIgIDoeztrZmZmamqamZlJQkNtg7OztWVlZQS2I/fa5TGoWxs0VeXyGuLu6sLGwTlne3N/bJpAMu9yitxueiTdju9PS0vb298PRjCmQy2cfHx/jw6O/vBwAgKSlJQ0PDzMxsZWVFrGY4HC6c3Yv9dJlPqRQGYXl3Y3Xvcw2in5+fVESXoqJiW1sbAAAqKiq9vb3e3t5oNHpvb09JSWloaEh0CKhUqp2dneiV6/JZOLC8vCytSWFRUZG2tjYAAOXl5SYmJrOzs69fv97b20tOTj45NAkJCVCkpbMQeX2PkAPBwcEnkXV+0QUAAIvFEnVb4/P5VCpV2J6wcBlEF4vJmRlbK0hrC3PNe2uANX0N13karno36PVtf8Xb/sq/Bmo+CjOSi7bXQfvbZ6Yh6gc6Z2kU8QDYwh5dTEGKogsieH9/X9RujUqlSpxPfHGia2ZsLcIj3/BllMpvgSp3gyxVEXUloHi+4ENaoqumpkZfX9/Y2DgwMJDNZi8uLhoZGWlqaiKRSLEeXQZkiZH0RZxKEVkkEsnNzc3U1NTQ0BAyKEcikRoaGkZGRic9cC4tskhE2vbGPnGbwmYdBZK/PEMpEVkfJbrO2LfPCDAuh9vVPBnjW6z7LELxlr+xQqy7WQoypKIsp7uzaXJ8cHlucn1+amNqZLWvbaamqD8lts7PLtNSFaFyN0j1bpCfbUZtcf/+3ufJXiNFgJ1xpKDbLi3ATvbigMqMCyx58W8vG01kYXr7xNDyYNdcXEDp8+88YvyK+Tz+yUc+3RWJADtfczQaTTTAFYvFkhjk5TMi63z9uiRPSR1ZW1tbol6Su7u7YubyUMcvG7JIRGo2ttlRH6P9JFzpToD6gxArtXhkSPn81MYlGSmIDInI+mpF184mOQuN15eBvf7F30EXXYTrmJ/aOKCdKRYyh8NdXdxprBjytclQvResejcoxrd4Yfqih1PqADvj63jZAPY+slcXd4wVYtTuBTfXHNtbBQBgoGvu+fee2djm9z37Ka5LBNinaEhY57XoErLigwrXyAIAoDSrU/nXQK1HYbH+JS01o2MDSz0t0ynwOjOluFc3fOICSinky5K5UCKyvkLRRSYdJEZWK/0aoPUkPA1RvzT7Ud4VxB1qZX6PpVr8qxs+AQ5ZFynArgF2yvdocmTl9W1/Z8PEvR0JOmoAACrze2X/47U091GjfwoBJ3+SCLCTt0nxyrXoOh8zrziymAy2v12mzA+emWg8lSy+LcLn8ZuqhjUehhrIRi3Nbp6Pw9J9SiKyvjbRVZ7brfJbkPaTsNKsLgb9KB/8x7OyEz9po4l8+R/v+JByyj6YfeNTH1ccYKewd3aSIHfTN8gpm8M5TTVvqYqI9Co8pR7p/iQRYNJtQqy2L0t0Lc9vRXoVWqnFu5mk1JcNivXlIk+vMrKoFIadNkr9QcjM2Gk5Tfb3aG4myYq3/GcnPn+0HYnI+npE18rCtqM+RvZHr/T4BsaBNIWWKKgaygc1H4VqPgrtahKkmRf9VbrlqwywUzi5sbqn/Gugvz2YneH0o65kQPm3wIuZZwAAIBFgp1P4kb9+QaKrqqBX9kcvK/V4ZEhFsHPOq598fKzSP5dK6soii8PmupmmaD8J21jb+913j8vl+dlmqPwWuHmGm3+3to+5QSKyvhLRVVPc/+qGt4MuZnn+kyuIaBQG3L/kybduqPBKDvu0Wf/HjBYAAFcWYKfwjXHAMlWMtddBczi/78ZA3KZoPAxtqrqg5LwSAXZKXz7+py9FdNUU9j36h2tuUoswjPLU6KrGw1AX46RPiqD3cfjKIishrEL+pu/K/FlT3LHZXFstlKUqgsU8FlHzfYz9RNclIutrEF3IkPIn37qlxzfwzmBRRiLTZxa2aponknLaI9B1/rGVfjEVocgaVEZLSe3Q8OTaDpHKP4NhWnv9uMLPfg66aOIO5RMN2JUF2Cn8DHHJ1XgQIrq/RdynldePhCXUxqbge4fFk+M5GWCjfIpOqVCKP0kEmBTrP1nVFyG65ibXn3/vmZvUIkb/6uKO3E3f5Bgwy8YFH1cTWZ1Nk0++dftQddH2xv7rOwGo8MoLHiPR5iQi68sWXQw6y9sq/dVPPt3NvxPbjbBJyijucQjIVzRBPVKPVjZDm7llOgUWuIeVeISXOAcXWnpma1onPdGKkdVHmLtnxac1j0+vi7LvZHl1acdEMVbnWfjKwllnMScrOeXK1QTYKQypzO99+k/38UFBSBg+n59W0CWjG6dghHQMLDBzz7yvGhkUV8USWQpjYFX2OuiLcVKWCLBTuvPxP11+0cXl8Kw1kB5mqRI7i68cfvG95/zk7wBN4rMfc/EKIotKYWg+CoUHlorxjc8HxqYJaQVdMEw9KqOlo3+ewTxKYQjd3FY//uw79/EB8XmhWFWf7lQisr5g0XVAYzoZYNTuBc+d+uq39807BuQ/0YxRMcf4RpdX4ceW1ohkCkNM48Tj8WkHzI1tclvvXBS2Xs8h9YlmjIFTWnHt0MH7zT1oVKaLUZLyncBPYXl4BQF2ytu/trTz6oZPTqLA3n13j2bhkfVIIzqrtJdMBa2keDx+z9DSQ/XoCHSdsB585bDecxj5QjzzJAJMSMmnKFx+0VVV0Pfqhs/6KvF93XfQxfjZ4t736ye6fgWRhYFVaTwMpVKO2bv3jy4bOeMea8ToO6TZ++eZuWU+14a/NkEV1xwL2gLu49pkWKsjL2YKeHLQJSLrSxVdLBbHyQCr+Sh0feW9qOgaWDBywT1Qi3IOLmzvm6cenMmpC2Icj8+fmFkPS6h9rgN/bYoqqBpgv8eYjcPmelmmKd0JkLod9hUE2Mm3VnjlrWGivQ4ael/XNknKZmht2+QVgvhuc/fgwq+vI3qGF6EHZycI8jf91pZ2hfV8uoJEgH265gAAuOSii8lk68vA0BGn6Zr62mZe3vBZPvPui1T4edWQtb5CfPWTT23JgCj3sNntvyiGe0aUTM1tQistLpe3sbWPymi5qwxzCSmi0I7s5teWdmR/9MZXiIs00Qo/XVkiss4vuhITEx0dHR0cHOzt7Q8ODvB4vJmZWXR0tGioIagzUgcYn8/3sU5XvRv0PjuZrR2ye3jJb0oRnrDS6Y8z3NjepSbgWh5rxejapw6OiYf7gzrIZnPcTVM0HoVub0gzybIUATY/P+/g4PD27VszM7Pi4mIGg+Hn52dlZdXX13fyhbuELskVeT2yP3pBXibbROprU1DfS32Pg7lTUKFjYD7Ur90tssIt/9E+gSQ72VkpXpEIMCnWf7IqqSPrZBMfc6W2qF/xlt/uFvmUSng8vulrOCai6pR7pP6TFJH1QbR9LmTBA0qMFWJF10zRiQ13XodX4cGssyeP6YVNReMEI2ec6HQ/LrDUWD7mdHeUk1VJ5YpEZJ1fdK2trc3NzSUlJb1+/XpycvL169d4PN7GxiYhIUGMXDabbWtrC7Uk9tP5ThPCKl79x3txRnJ4C3zn9HMduLZtcv+oeJx8YXM8Hp9IPZgibPfPr/XNr46tbG6QKGzue80FV9f33MKK77yOQGe1ApKMOOgHTEs1hKVqvBTt8qUIMDqdPjMzs7i4+Pz587KystDQUD8/v+rqahUVlZ2dHSFboAIWixWmrRH76bOc7u1Sle4EZKAaAQCgM1iGTul69qm0d2vorX3q+OomhXG0pG7vm3+qFbt1aD5D2T/QeRreciLcxqfoiESAnaOhtLQ0t8PDw8ODTqd3dHTY2dmhUKiTCLrMoovD5lqqImJEbGTWNkhZJb2FVYNbu8csm7LQeAPZSOaJLZZzsO6Mj0gRWQsLC66urlD2mYqKCjabHR4e7uTkJJY9AyLss4iurXWS4m3/+tIjR7r0gq7biuFdA6flltshUl+boOz98oW2b4TlXfmbvq11kqXdGTl/vtskIuv8ogsiwtPTMycnp7Cw0MPDAwCAjo4OY2NjIX2Dg4MIBCI4OFhLS+sk8IS3fVChvnTg8Tdu77PLQOKabymExaXgxbayoCamCNvpzf32KWUyQUm33BH3fVCP/TGP/bEPfNG33eMf+qKNUQVxVR3dMys8SVaGVfixB+pR9n55+8dVxlDlO5v7qneDYJ4FH9SdU26WIsCgVhYXF9XV1Ukkkra2NhQw3szMrKGhAfqVTqfjcDgMBqOsrFxWVnYKYRf8U5RPof6LSCYd3D0OhFfJ6iN2iWAEjdHlDRNUwS13xB3P+Nvu8YkNPRBhZCpD3ghZ2zIBijoa01g+pjK/9wJolgiwc7S7sLAwOjqKQqFevXo1PT2tpKRUUVFhZmaWmJgoVhuLxbKxsZEWssQq/8jTkf7FVz/5zL8Ln5Zd2ntfLUrNEqtshpbRhXf2H30356fWle4EjA9enBWAFJFFo9GGh4cnJyefPHlSVFQUGRnp7u5eWFiopqa2tyeuzf4sk8IMFF7nWYTQur1nePG2Qlhl4zEJRKLRp9a2CcRj6+PlNeJ9tShsNpjEADqCHLOdDBIv/n2TiKyPEl07OztycnJkMhmLxYaEhAAA0Nvba2Rk9K6nwNTUVG5uLhqN1tXVlUqHl+e3ZH/0ykgAJ+BiB4fD84kqu6sCq28TtzZksjnl/ZM68OzbHvFP/LGOaRUZrYMdU0tjK5tzG7tzm7uTa1u9c6vFPeP++Q3yYam/uMe/DElB13dvk8UD7y4s76haYNStEgmbEnSDw70LT751qy0+plMWo/Psp1IEGNRoaGgoNExqampQdFc7O7vKSsFWBJPJrKioKCoq0tPTuzypGean1mV+8OzEgw7glfjR2wrhIxNgFICkxt7vHKJMUAUtEwtjK5upzf3fOUTBq9qhntr55UWgQGMNJoNtoYIownWcne3nvlMiwM5dm6+vb0ZGhjD/U1tbm+ikcHR0NDk5OTo6WkdHRyrIOjed73sQ5lnooIeBfk3O7bitEFZQNUA9YJKp9Chs/W/KsIkZgWEhn8/XfxGZn9L6vqqkfl3qyFpbW1NXV9/b29PR0YGSIpqamgrzdDAYjPz8/IyMDA0NjdJScRs/qfdOtEIul6f/IjIN8W56ymArm6ED4Ufq2d65VRNUwS8e8Q98UHc8kCqRuMLuo4ig1c3jv76OmHin3xofXHp1w2d+6qItQiUi66NEV1JSEpRDsq6uTldXFwCA9PT0k4lwmEymVOaGXC7PVjPhrQH2JFY5HK5zcOFTrdixExbtFQOTr0JSbrrGuWVWtU4uss+QkWt8ZTOmou2RH+aOZ3xCbReDfcwdj0Smm7plKhglrG2QRN8SqJyBwsvd9NlYFZ9wnbzzd69IF2A0Gk1RUXF8fBwAAF1dXTwez+fzlZWVT2o2MBjM5VEYepinOuljAQBY39p/pBGNK+gGACC0GP+tfWRux7AoD8v7J753jJ5ZB/WfYahaS89sAADYLI61evzFfBYlAkyUwrOXiUSinJwciUTCYrGhoaEnJ4Xj4+NpaWlwOPxyii4y6UD9QUh5LjhYnQMLt+TDoEWwkAOOAQUmrhlC3UaYa95ZwqMIH//IgnSRBQAADAYLDAwEAEB0UlhRUQHRyWAwioqKsrKytLS0Llh0dTdPvb7tv7oo2BTAZLXJ6iHIh0ojHp8fUdr8T/tIq8Ti+pHZ4aX1jumloILGH51jDZH5RIog1p1DQL6ZeyakhOJxeRYqcRfv4yURWecXXRwOx8DAAFI30Wg0JyenN2/eaGpqQh9H0XdLWhr5grR20ND2RFQSPp/vFVn2TAc+v3xs22ZlZ98EVfCDU7RfXv3qroRFkiiRJ8sHTHZqU/8dT6RMUFLXzDEDjQM6y8IjS9kMvXvC6prD5lqpITzM005W+KFXpAuwmpoa4YK4sbFRQ0NDX18f+iyKEfZZNPJiNECnA51zL37wnBoBme8YWGDkDFpRx1V3fOcQ1TYpwfJCPTrTJwdcbKUXduk5pPL4fNCvSB35xYmu9PR0a2trAACqq6sNDAwAAMjOzj6ZuvDSKgzrywaVfwuikOgUGlPuDVLUXQEa2YWV3ftqUR1989BpSWan7vOIk1NSiW/Fx1+ULrLodLqSktLwMDiR0tbWhtKEqqqqQldEqb14hWGYW95bQ4GeeXuX8kQrtqhasOnlmln1g1NM3fCMKIVgEJ/1nZchKXKhqZDOaX55575aVHOX4Lb0+IY3r6KZDHHfL7FKpHsqZdHF4/HW19eFbxuHw+nr69vakhCHSSqia2udJH/TryD1SPEq5E58WtNdFdjE7DGrjcbRuVtucSqRGaPLx64DAMDh8Ua3Nsunp9D9vbCOtvD21vjervyJse61VTLzaLcfqp9IOXDJqPrWPjK+ulPYIgAA1AOmjl2yiWsG6/iaDACA2QnC8+892z56P1O6ACMSiSTS0TJxaWnpJLSgDl4e0fXWMNHHKh0AgMaO6d+UYAQCqXZ09u+2EU1j4CdvaZ+UMjSA7usd2RTEt85qG3rkh+bweDVNE5rWSVQ6i8fhfXEKQw6Ho6+vX1NTAwAAhUKxsbExNTVVV1cXS5F8mY3j/Wwz/O0yAABIyGiVe4MU2tSIIsg5qNAtrAS6MtA5p/Jr4JYkNYboI9IqSxdZtbW1+vr60JewurpaXV3dyMjIz89P+G0Ukn3ByKIfMLWehJXngGtfAAAQaU0q5hjIDh5e1f4vx+jhJcmqvz0qXS40VTcuB/II8oupMHJOhwwUl+e3FH72G+k92qoU9u7TFaQsus5OqFREV4RHgclx+06IgNqWiVvyoW29c6L0pDX1f2MHCytpYh13xupfJ7g31N5Lxf6cmHALm/AoLel1bqZyXtYzXMotbMLP2ITbiSjjsqLquRk659i0oqRn/AenaKe0ClErxI1t8nMdeCgS/MSIHXD/Ev0XsI8MXS9dgIlReMrpBQPsfZT0d8zK/ttrfmqDzeUpGqPQuNZ1MuV7p+i0JjADcnRX+78S4L8koX9NwvwNHpU3DiropwjbD3xRM1u7vYNLqhbYXRKNy+YaK8RU5n1JZho8Hm9xcVEY7o/BYLS2tq6urp5klFSQdbLaj7xCpTCUfw1srxsnHzCfaMWUHPq38vn8oaX18dWjJBpVTWOy+ghIqi3PbWk/CR/qvqAPonSRtX14CJk2PT3d1dV1Um4BAHDByBrqXlC45Qd5vlIPmC8N4nPLQex0z658YxdZMzQN0UxiMKpnZzD9vfnjY8v7gtnt6u7+T67wuGpwk3huafuBWtTAO9cgK7V4bGS1sL8XUPiCRdfC9Ibsv707TwRrX10nPVSPTswWbM5DTEyo6/yHLUxsI6R9ZVmjIOf/ENGvczJQfT09hFUy88jhDgAAFpc7sbOdPTZiXFb8LTL2YVpS1uixrZTRlY1b7ggzdKGoOOwbWf5FMVxMjw8AwN4O9fUvAaWZxxZqHzrG0gXY2Vu/YIC9jzBnw0Rfa3DmnpLfKf8mgUyha8GzrRPBebpxefE/ENGZo8OsQ3+GhL7uv8AjR7Y22VzeIz907ejsxOS6shlmc5fCZrD1ZGD4C4nAKxFg7+udVK5fTtHVUjOqdi+YTmags9pULcB9yuUdkh4i92c3xE3XOI+sGi4PDJ28sLIj9wbZOwJ6sOztUg1loxovyuP1iiALEVRmr4OG5kBldcOy+uAuF5vHkwtNdcYJjLPyJsZ+SUR9j4q7l4K9gYn/HgUPam3iHA5QSe/4947Rc5ugO7+tb64XTGB1nAKvM30Nl8oLfMZKJCILmhz81xmrON9tHw+wQMcsO20EA5bOAAAgAElEQVSU0MMAIoPH51v75Ji4ZIi62qU3D/zdNqK8/ygjyR6d7lRb9Rd4pFFpUS/htBQ1wt4t75P8mhv/ER/9OidzYucoPuHc5u5tD4R9SplwexlUieBanuvAT256pcTW6jwN/5iF1xUBmJDtooWp0dWX//GeGyeQqYxn2rE1jWNZncN3POK392mW1WU/ohHTu8f2NVXzs22rywEAUAhLS2sdmJheVzZDb+5S6FSG6t2gvnZxhb5oW9IqSwSYtCqXWM/HI0titR95MdQl18cyncnhvjKMr6gbIR7Q7/ugtOHZg4uEtqnFn1zhEaVgNC82h6tulZhTBjrFs5kcY/mY4oyLMAS9IjkZOByepSoiMRrUCfH5fAvP7IBYUFzldA7/7IaA9rEiOlr/NyYitK15gwp62jE4nNzx0e+QcM3CXCobzBulFZNlmwJKrJrmiRd6cXuHeQp7WqfV7gWfEtzrI9+fk49LRNYXILrWlnblbvhA5tGivapuGr+nAltYOfqENY8vfGMHyxExPBvb2rybjPklCdWwKNgQFq2BxePsMKjbDAqNIyG/1yxxV6sw92/wqIKJIx+IidWtH97GRJYfGfKy2VwNq0T/GIE1kbD+nS2y4m3/6iJwhX6+4yqLrgCHLCd90LQamd6iY5M8v0G87YEo75mA93X+AxG9sAeqNTi8IxfyvPGxX5JQTB7HDF0YW9M+NLaqYo7ZJtH2timvfvK5mHR5EgF2vqE/41OXUHQdUJnaT8JbKoZr2iYV3iBJFLouIkc9OpP5bku4vH/yJxf45j7omWfmnhWFFdhtm76GZ6Gbztjxj7ztKiCLsEJUux/c1zELAMDaOumZNrx/dJnN5coEJkYdfr5SBgf+Jzq8alagNhSydI5IvIGON68Ajfh7Zld+fBszu7lLozFl9RGQNxiJSNV4GHphS+T3ZcL7AkQXBlZlLB8jVP1DLKbSmApGSESqIBgrAACEPfJtd0RwEV44Bq3LS3+PizIuK9pnHNMNju4RYiYaNZqTntbEPhH8i1FoTPAZLG/ZnKUfF2Ox3R3/LyoM2SvY6gQAoGF09h92sIZR8J2Ajq7Bhd+UYaNT4ulEY/1LLFXjJTk3v3vy1L9XAWASGbC6uCN/07e/fYZMYzzVjq1rnvDKr32DyK+dn/tTLKxteZnF44SM1Dysjn5aE1uwBFpMLe/vf5cAnyLuuOAqw8qauvoW1C0T92mM+cn117f93xcwTGLr5754LboAABjuXXj9S8AWYc/ELTMxoy2zY+imWxxh78jXlcZgPQtMzGoDo+F5R5b5RAnUUOZKcenxAjF27iE444NXAVmdTZOvfwmg7IPxdktqhxSMkAAfaBib+9ktbpdMm93b/TMcljp85IF6IPLdG93a/As8EjcKjpF6VIZPLmi16x5W7BEuMKux10Ejgi8uaoFEZF120UWjMjQfhZ00LMws7nmhF0emHMkkU3SRMgwn3IjqXlv9c2ykJ75e9G1uWJ/SaEr8oSRQvgEZMFSZMd9duTpWvTaeu9gXNdag25L6Y2nw05rYtNkuDv8ok2H++Nj/iwpD9R1Jr7Dipl+9kLvvXB8AALD3z7f1zRVtCwCAmXGC3E++E0PvjUcldr/Y6VUAmFiXodOU2DrDl5EAAGBz2vXsUnpmVn7xiK8emX6QnhjZ3r7FJD+piXlYHZU82xE4XPVtsV/H9jyPBzxOTy6dmfTOrgsubapvmdSySWZxuJ2NE7rPYSSiuGu5xHY/8qJEgH1knac/fglXXYlRNa6GSf0jy/JvkA090/f8UJmtRyGIoO7YJJU6pIHaXRi6zjmoELporgxPuxZdp4/3h/yaGldnqyWIyecQkB8QC6qFTNGFb9NBtaFmYa5moeB71bA+pduS8qwWrtCQkDbbxT5UZiT09vwrAU5mMyv6Ju95o1hcbkPb1Et9BP0wXldSTK2dFupDyPmoeyUi67KLrpaaUaVfAnaOh644oLPkjRJS8o6MICoGpr53jJ5YE5jmL5L2/omMda4/sv3bZlAtu7K/LfK3684bJK6I6ppEmbpC24ON1d8oC3lVHz9EPLLpyjuUXqXTYGwhUCnMYssEJXnnHGXJG5ki3FONGps+tvDiccFkRfAAwVRFtKGzlK+m6KIfsLQehxWltYP7yW+QRVWD9unlTqkVPs0NL3BpC5Td+9VRhm3peyyBy6Rbf7FiYwKby1XPz0EP9Hpn1YaVNxdWDug7gq51haltVurxwig4Z2H7ue+RCLBz13aWBy+b6OJyeTYayNTY2oSsVnuffL/8epVI0NCmYmbavLIkrqcLMtCAV7Zrw0GHcURKk0OAIFCy6evYa4XhWQb9jPe4miRH+xZDbjyKxgl1zRMkOuOWO6Jvdq1/k/C3uKipw+ClsLG6fxT52nfnp811hYxU/1gapNeaSuMw2Vze3RQMrKuNzeLe9U5onJjf3aXK6iP6Ds1qOhonlO4E0ERWDmek6ny3SUTWZRddoa557qYpYh0urRt+rhu3SxJMpeks9pMAbEixQFXI5nJfZaWr5GULjSnGSet3KyOf18b17pwpThrhYN+yM/ubQr+CpaMFdVRn+9/jomeJgvQZTePz3ztFj68cGftaeWZ7RYhHeclPbdWXgdHfE+NcrF9ip1dTdNUW9Sv/GnhAphfVDambYRuHZx/4oNO6Bm5gkdVz0/rtKapNWMgCCmLX4O7qb1Wwyf0N07ISWGeba3oVvLYjObvd2AX8aEb7FHmaS85zKMbtjz+VCLCPr/aUGi6b6Fqe21K7G9zVOq3nmBaNwz8OwDSOzKEHe/8Cj1TOy/pbXBS8G5xu5nWMKEak8wB+XEqTUyAY85PD4V6baZwy0B/6E5vN1X0WUZrVBQBA/+jKSwPE3i6tsHfsWWAih8M1Ki8yKgVTh6fMdvyt0KdmDYywAx1zlO17VZGmHZkAAGSNjvyERTK4HKfUCrtUUD2oZ5+alAOacy/ObqreDZo8jBXw7tFP+Fcisi616GLQWeoPQqoLjyXm4PMBM/fMoLijMFxZbUO3PRBEqmAaHt3Z/h0STqAIolMPE9f+XRpk0ZlF5Yi7GzN5LBKLRGTtHXAFz4qyHzXd+tcC76wFgUsQj89Xy89RzcsWBo7Xj8+1Tj6SVfVtk8904JuHAcuF9ayvEBV+9j2fB9/VFF2uxsnhrnlgtCq7FExGq3tOjU1iiWlFiUV5WcxEw+2KsF0GOFhMnmA091n0B9VR1YRxm8qKkPZmK0wxurEnGl3v4A9+E50NE6G5p3BEPl1BIsA+XXOX0CW5IrfHRC6mtnlc0zLRBl1sjCzIHB36Y2xE+TQYVjR1ePA/6Ph9FrNuaPZVSAqTxw1PqHU/3D7Z36MZyEY1ll9QOqivHlnL89taj8MGu0DbtJyyPlVz0OLJMa3cFVe1eUD9Nj62b40wR9n6R6Fv7qK4HdkMeeu7Yv+cxT4Oh/8fdHz1wkxF7+TzoCQOnxcYW+UcDCp4qfv0N6+ia4qOfZk/3asuEVmXWnT1toFWmITlY3kC55d3HmpEj0wKzNxZHK5MUBJkMwMAwPwe8e9xUbnjIxAf12ikW+Vhdj15whUYaCoK8Hv3+uAz8R6j3o5Dzg5Dzq4jHmFTsNrNetpxGYab6/5rgVctQaAnnNsj/i1O4P0KBmebWfrROXZmQ2DiyGCy5d8gC6uOFmpQ6l5bzYTzefB99QA7+a6vrxDlb/pODiyPzm681ENUd08+CcBGNbT+moxNG+/9qSK4kTDL4TPR81jHYWfkHIrGAQ3VntXGps51WlWUh3e0asdkpzT3B0RVhh/mSrZQQeQktpxs6FNckQiwT9GQsM7Lturyt8uM8ioMS6g1dEtXCE8LLsf/nJQQ/87EaZ/J+AGFaFlZah6bfxWayuLz3EKKgxGgc+vy/JbWk7Dhni/SJVk4HL9buDCPyZ7Wac1HodvrYPS7AHilV0Qpl89/FphYMzCdNjr4KDUJAACTjgzDdjBUDXTQuUcJlFFTLbcrwpk8tnNdjXF5EYEIWsBNb+1UNYxp2SQxWWBMVxvNhKToox2Td9V8kr8SkfVRoqujowMGgwmjTEIx/6HAyaI9ODfAMLAqS1WEmDsXNrsN3IFnCwyjG0ZBm5nlbYETuG11hVx2OrQwYvG4Gk2JKngMS8SKepoy4zHqbdxnDpuKLidU9hL7B/aG6jcbUfMY6wEH6wH7xq1jFrrho7U/lgav0gThdINbm+6mYKFYG1wuTzkSF1R4FMY+FFlj7pEl2ndQoR9UZnuuLU3pii4KhZKYmBgbGwsN0NLSEgwGKy4GteFix4UBTKxdUIMRU2skFwMAgGdkmXdEaXhZsx48x6isyLy89E1Hum1XPoNHcx52cxl2z1stMOk1z10B12cqeEzseKNJaXFoa4tyBC63fdjRLz+7vO+AzNCTgbXVHelDTrYoxSsSASbF+k9WdW5knazq46+wmBxD2cjUhAZjl4w3IdnKMJxKTpZaQY5ozU9xKRnjQxW9k8qROBaXa/QWh8oA/UwGOueUfw3c/jIDQYl28PTyhSGrPKdb+0k47zDUuOHb9MzC7uVd0s/ucSs7JI2i3LC21gXa9g8lgf27oAXZOn0dMYt0HnELmggd3QcdgWhs1r2qqPT5ru7VtR/RiA0K9XV4em7X8OLSzhPNGMIm+LH1scYFO4EblhdwSETW+UVXTU2NlZVVfn4+FG4Sh8Pp6enFxMRoaWmJxsoDcybR6eeIHM/n892Mk2MOdxqF3OHx+WbumRGoI2nvlF5hghIYKc3v7X0TH1s9JzBbT53t/KEkcOWd1AGDmW7U6nYbxM0i1xkSgneR2ZSC1SLdbsOEOQybJwgExePzlfBo0w5w4wQAgG0a7fuEuNzDsEMAACQ39j4PTKTQBcqrpq6Zl/oIKMmhkOamqhGdp+Gn54oV3ixakKLootFoLi4ucDi8vLx8dXV1f39fU1MzOjrawMAgPf1o5gW1jkajP0vkeBaTbSwfk43Ck+nMVwbxBbWDypEZPiV1D9OSgnrq7lZFjpEI4dNhHqM+BxxQZ1i32eAw9JbHZ2u3pIQO1+oWFQQ24lVgGeU9EzrWyV1DiyuzW69/8V+5qOTxEgEmOqBnLw8MDCCRyPp6gX1sTU0NCoXa2BCPxnmpRNdI74Le04jEpCZVS6xcQIoqOvMGNn50c3ORtrvNEGjvFXMykkf6kxt6DZF5JPKBpnVSWT0YwasQ164vEwl9jM7OpXPfKUVkQd+3rKwsLBa7tgaqgtbX1xMSEqAQlGIUXpjoSoqutdUEzQsZTPYLvbiegcXywUmVCNzE5vbdVEzr4lLkRJ0SHg0AwBZjy2rAzmvUt3KjBj4br9tt2LYD7mbBxuqV8eg1CvleCrZ6biYgr8Els4p+wHqhF9c1CEa+xkRUSUziIdZlqZxKRNb5RZeBgcGbN2+8vLzweNA+Ql9fv6sL3BU0NzcXrsOWl5fr6+vz8/MNDAw+9L2kURh6z2G1Jcf0b5s7ZPk3SGEYYzKd+Zt3QmmfQKEX3tH6MC0JMu7cYdJulYdipo98h6s3arW69Oo3f8d3ZIYyY9pnGTuD4L9Lhzyyt/bPYr/WTUGYROfaaqXcTEgDuUbcv+ka1zkjMH/f3aO9NIhvbD+WMGxjdU/pTsBQjwSf6NPHVYoAa25uvnv3bmBgIAwGo9PpjY2NpqamUCoNPT09yGeOxWK1t7e3tLRYWFhIXI2dTu3H/zo1sip/03ebQCptGNWxSk5t7FUITbMqL1MvzNFqSfIaqKpYLzXrtyIyiVBba3SCca/5NnNTvTk5eLBWOS87oKZRNTKjtmfqhW7c+g65rWZM40EI66LS70oE2DnY0tjYaGlpmZWVBSV8ys3N1dLSCgkJ0dPTo7zbwYWqpdFo55gUnoOkszySCq9z0EKFxFW/sEA+D066ER/v2VhfujL0Y1nQjbIQyOJJPisdNzbkn1vvhKtYWduTf4OEshSFuOQEOlzQFF660TTodLqHh0dkZGRBQcHS0hKFQtHR0QkODtbR0cnJObbiBAAAhUJdzKQw3C0/6HBJNLu0/coAQSCQgkvwTinlTcuLvySiFvaJz+pisxf6AYDvPeYXMBHM5QuUWIVrxW96TfdYuwsU4n/KgqfIGzqF+ZHd7XltI4oRaRwO18AhDQqEWJbdZfo69uBcBmhneZ1E75GIrPOLrp9//tnLy6u3t1dVVXVoaMjY2HhhAVRVe3h4ZGUJlGZdXV1BQUGurq4aGhofKrrWlnbAOAiTx5ZHPUNLT7RihFGXWicXf/VErh86PHJ4vMfpSTHdglgyqKmWu5Uw2jvTjAnyhE63gZgyUJQ7ouXlgxWDHuPCtSNlmlVXtl5rKtSFXsLaP5GxU+8CRGnGZMLKjnZTjN6mI1KPqRz5fL7u84jSbFCuf9AhRdGVn5//5z//eWBgIDQ0NDg4uKCgwMvLCwCAyclJfX19NhtcYh4cHCCRyIiICFlZ2fJy0O3mgo/EqBpLVQQAAJae2ZGYeuvkUquUEpnMNMemsoc1sY0bA1YDVtCUECKMyNqzG3QY3R9TaMSEDtbJZKYHVeJVojLKGkdUzTFMDhcbUeViBKr1L+aQCLBzNG1kZGRsbBwQENDRAb7M+vr67e3gRNjExKS6WhD2lEAgtLe3l5eXv3nz5kORdQ6SzvLIW31MmFeBqVvmE4eE2yHIh2lJvr3VP5YHJc60u/YVKzaiODwuFBrUEl0cX9/Z2TP/0jAe2jgxeBGZl3wEorM09zH3SBFZra2tDx48CAkJQSAQLBYLj8dDGUG7urr09fWhSSGbze7v7+/p6bG1tS0qAk37PvXhZpIMZdVq7p5Vs8Tu7dFMMYVRpa1pY4OK2Zkje2s3y0M26Qd9e91GvWa7zCNjAj7A9xz1SVwAUfOqHpm52B3W2mpRXVo3PPs8KIlIO3AOLIxOBGf/Xc1Tmo/CdrcF6+lP2iOJyDq/6FJRUYFmhaamps3NzXZ2ds3NYGwLIyOj2tojhR4Y2fZcacg78RMaD0OJxw320gq69A/zMEGciiht1orN5vLAva2x7a1/ImPHtkHXLg6P97w2LnZCsAvF5DKdh90S5gQ5W8/C5baddv0e49UDgWtXz87SDyWBM2RB5fdTsdgBgXVNRGmzWjRoSwodUZh6Oz9wA0b08DBLRQR9sPO5FAFWW1urrKwMWsr295ubm7e1tb158wYAgPb29pML4ovPKnT4knAMX0YVprZt7FLkDZA5dQPyYal2xRUvs9J1m9PsewrR82j/8UDhUhiM2coivR12btrqVGhEe3VWyWbiPPNqTLFF2Mw2K29wCm+nlYCBHVmiio7IpyhLBNg5Gvr5559dXV1bW1vV1NRGRkaMjIxOTgrb29t9fHwcHBzU1dUvg+giblO0H4ZGwSpl3iAeeaP/HRWnXJRxpyoifgr8JnRuLdypDF/cJ/6WgskdHlUOx+En5iNRdZBl/Mr8tvKvgSN9EhKwnYN7Z3lEisgqKCj44x//2NHR4e/vHx4eLnFSSKPRYmJigoKCnj17djGTQgsVRG4SOBXIq+g3cEgjkg/UYzKz24ZdGmt98fjkuQ4lPIbLBwIngpMWxF2P+oh9pn2WVM5+yHCdaSeufHrmZXZa+8zSi6DkuW1iKKLGNQSUvnOTBIWffcVs6M7C/HPcIxFZ5xddhYWF2trawcHBxsbGBwcHZWVlmpqa3t7eRkZGNNqx4AXn08jnJbdaqcWL5TTzgpX6RB4tCIwT8j2zBX7HqL6eZ7gU+uECYoC48p/SEEjSAACA32oy6bMgsQWmHGfknd94IGJO4I7O5fNk6+PjJwVxp97WVesUCVwpK/onH/lh9qgC+5zSuhElUxTneC5meECph9kHexdJEWAUCsXY2Njf39/Y2Dg3N5fNZhsZGXl5eWlpaZ2cBl6YRl50IEZ6F5XuBOwQSBmlvSZvMxBVHcownHZBvk5pjkw9Inmu3m7IZph0lHocNA1n7jgMO5attr7GY6waitXzc82whcHF+LcBBZGJDawDltajsKZqga2paFufqCwRYOdoS0lJqakJXLibmZnh8XhbW9uTqy6oWmnlHz8HkWKPtNWPG7+McvDIeW6FvOEb92MC4lYxTKctGfL979pe+LUqonp+WiYzNbWz/6EvZnmbpGaOza8EtwMK09t1n0VcjOoJIluKyKquroYmhYODg2ZmZi0tLSYmJuCiRGTVJeTVxeQf53J5Os8iIJ+iBFyLuVsWkXbwMiQZPzqnlJ+VPjTk3F/o3FtCYm+b91tNkI8ilUN0MrgMhyHnLmJb9dr0i/q4jrXlm9iEvuU12aDk/mVCYkabmRs4U9/e2Je76Ts9ehS3QdhNqRckIuv8ogsAgNbWVhwOJ0wv2dLSkp6evrt7tPyE+nA+0RUXWOpuJj4jMHBKS8AJFAt0FlsJlp7WLPBLsKgoNSkTqPhiJhoVGkAFBWQK7zsekLIoOW0xk7tL5xy5FYsyvX9vwKTPYpspsH0PGK5UbxLkG00bHrybgmFwQCPRsdXNR36YoUWBYrN/dPmpVqzQXRqqMAvdZKr4wWkCpAgwAAB2d3dxOBy0MoZO09PTW1uP9gKFff8soistrt5cKQ4AACuv7OjEBiN0gVV66eP0ZNOmXNWm5KSFdO8xH+5hdC4O74APgGG6lmnL9kO2WQutKk1YrdIcs7ISZRgOXd1l6JBW3zE1O7Kq/iBEmNpc2LtPV5AIsHM0l52draurGxUVZWBgQKVShXPEk3td50PWOUj63Ufig8qs1OON3uJumEZ9ExzzH1zszYqQqX1B1oV6wuSLBnhMT7tyfpZ/QYNZYtHA6IqsHmJxDdy2tNdFR/lchBpN2AspIotEIhkYGISHh5uZmeFwOBaLpaenFxQUpKOjc3Jb62KQxWKylX8NbKsHDWtDkTUuQUWbFOpDX3TP/Oq9VGzx1PibjrTE6a6evXb7QSfhLpeQOaAj/0xc8mLiyN6GTH0cfnXm1yRM+8qyXHBK7dhMUcWggRP4LaWQDtTuBfe2iUfvFa1HWmWJyPoo0XVGys4HMH+7TGinUdgKh8NVMcdAMzUAADZIlKeBifjDhLlcPk8pNyu8XfAhNu3IdOwFPVIBANhkbJr0mk9RxFnM5lGHdsIqFh9XLD5sX7eiscWnDwwe02bQoXlbICmLlgcf1UTvs8DVVevy0p0k9PweCDwi9eChH7r2XZ7smYXtVwbxU/PHxGFlQa/W4zCxCMLCfr2vIEWAva8JidcvBmBiTdtoIlNia0lUhrwhMrWiRykCZ5Jb9DovU74O7T9c4jbqWrsBmtvt0PtrluUINHBR0kPs9RrziJuok29AqeZnW5WUKYalZzcMKBmj1nbIFdndejIwyD5YrK1PdCoRYOdrq66uDoPBQBZrAADU1tai0ehLa2HIZLLtNJCOlqkvTJE3XODfxMT8NTvAe6hygTbbemiulj7frdaEMa8ssags043JSWzqxaS3vnkLmrauLmy/uuEzNnCmMDfnY+bJp6SLrM3NTSwWKzQp3NjYQKPRYpsmEA0Xgywy6eD1LwEDnaBZmResLDSuZmF37zfPhM7FlQepSaWzE8rN6FrCVMZyGnwG3FqGDmg6CJUr16v9x/0XqVsydYiSpRH5rIzKuRnNqKyszqG65gkduxQWh8ugsfRkYE2fLxPe5RVdzm+Soo/Pxfb2D1TMMXWtAnvC+c3d37yQ46vg/tM+k/EUl5w9BmqHmDyOCh6Demdb2LbT7jTsSuGIbSfy+7a8SuZvL5DzCbTGhhX16uWXDO5R/hRoCKNn4Jh5wUprYHflfnXUJAk0UJ4l7v6ShOpeA6Udj89/7I/JaRfkpVxdJymZoiH7UcFLAQDN1SOaj8Jo1KNgwcKfTilIF2CnNCT208UATLRRwvKu4m3/6eHVyuZxQ/vU+MoOxfA03YJ89ZLMV40J8dMFTsOOBxzmPnO0ZOFO1vQfR3bB4LyFq0VhU2Gu/YWq9clKeVnm2cV6cTmpxV2q5hg+AIQ65wQ6XpzR2vtSM4h2U+rl800KpU7G/NS62t2gt+45twyivvGJ+TMm9E5lFHo217TfVKfbYJ9N9B2qNGhJl8lM86yqkwlMah1bUDPHQs77WFiViUIs+9DLVeqEva/CrxtZW+sk5V8Dxw9nA85BhYjkppGVjfve6JaFxWe41NL58Wd18CHiWvhUWP6qwK1onYavW1ZcoQgyN42Rx60GbDYZu8/rEFlzvbqFBbjRIUt0cUJDV1v3rKZ1IpnK4LDA/ONVBZ8t//jlFV32umhk6LEkWBtbZBUzTFuPwEh9YnXrpmvc2i7oMb5Bo/6WgqmdBz269lgHMnVxJSsCWZK/Uuh3fHsfvIc5XjR/Y5su4DuHR69YfDS9J26NhlvO9B8PggCwTNu7WxXZuQ1aUW7TDm4nouoXBJTIhaVgGnqg27Z3KWoWWHzHsUVeR+OE1uMw4g4Y+uHsx9cNMFE+FOE69GVgfA7PJaQ4CF7lnFH5JrFANhOnV5eh2ZIaPY2Az4K6xIFtn1aCSdu6xcC2HwAAkdNR8bNozZYUc3zes4xU06Qi+9SyMESNJ6wU4PF1noRX5B0F+xdt7hOVpbjqOiOFl0R0Fae3G76KVjNF37CO+WtY1J8zgnXaY20GrbOWc11H3Nt22rVbUzVr0mQy06zSSkwwheUNo68M4qk0Jp3KVL8fkp8sQWt9Rg6c77avG1krC9tq94Knx0AnMzvfvMTMts7Z5ReByTWzs7KZ6WUL479VwRapuy4jrvjD8As8PqdxVats8W7pwp3NA9CWdYOxYdpnsc4gyDegE6fbTUpL4vu6XdIqYRUtPQOL6pbYHRKVz+VZKMddTHZQici6vKLLThslZh62ur6nbIbuGhREixleWr/pGrdNBuXBGoV8OxHVugyqHbYZlMc1MfUEwfZj6mJ68ESY2Cs+Q0qrX1HhA0e5Cvu3fDo3HMRuK1orcSh1bPMAACAASURBVB8FjcgPq6X+Vglr2gDz7ZKZzNuJqMp3WdpUInHIGkEYeyKJpmGVWNsiWBpCz3Y3T2k/Cd/ZPMpaBF0//f+vG2Ciffe3ywxxymHzeBqWiWnF3UownF1B+eOMZJ3mtLd9eX7jPjUbDQDAr16Snd/PbV+3mtpDsvmA55hX/EzWi/oEo+p8pewsrdhseGWbgX1qcf3w4tSG8q+BC9PiPryijUq9LBFgUm9FtMJLIrqCHLIMleGvLFDfvo38Y3z4v0uDNDutEuaRPD4vYMIfNZuniMc8ycVq5+fLBCVltw/ZeOWEIkHrqvzUVrX7wVTyUQgi0d59uvLXjayF6Q31ByFzh25FVl456Xmd+Il5xbC0sqlJuSxc8cLonSrY6sGu/ZBDDxE0k96lD1UsPdpnzbQRzId2QsFNEBbRdtBhljqt1ZwaP9lsUV4W2dXmk10XVIwfGFlWNcds7JABPmClhsxPbft0wySsWSKyviTRtbaxp2KG7hwQiK6RpfWfXOO2DkUXgUL+JRHVsgTa124zqI9rYoSBB9OWcEET4HiIHvPkvOplWS7/KCBv98bbni1X0XsAAChYLfIY9YYubtEpv1XCmjfAhd0+k3FLRHQpw3DI2mOiS6jVhJ7tap7SuhZdYsx9d8qgg0rzxtLBmeVtxTcJybU9qrAM3dw87dLc57XxcVOlTsNOa/QtOme+ZllujpRZsfhonzE4TyO4jLwNGMlTwSfKZqdal5S/DElJrepRMkYRdsg56CYzJTjnXbSwd0192r8SAfZJm7wMootKplspx2mowm8ZxfzNP+p/U4Pv1zs6DTvss/fpXLrTsIP3cNqdsuinWclqSVmqkRkFdYPPteHL63tMOlvzUWga4lhGvU/KLmHlX7fomptc13gYCs3bLD2zMwp76sdmVSJwRRPj8tkZhfPDd6siVw+27YccBklgvONFcnHNsjy4ebzp2rnhCAAAib3vOPR2jDxq0JYBn8BbVpSHdrQE5Nb7FzYMja2qmmPWt8FZuLUGEjLBFzL2ExUkIuvyii4HXXT88UScmzugwrClC1z3gO60a1s/u8Ut7YDRBbdptHspWGgZtM+iy9Yh8t/lKykmlHmP+YkZ0tA4hJL523P7gr2QfeZM0dyNJcpRGHioiZTFtOBJwYptnrJzryqy5zBtygaVejsR1bgoCJAhG5ychBfoHrd2KKrmWGG8D6ietoZxrcdhJOK1whDix7H/F2Y25X7y3Vzdy6scsHDLCinCa8OzlfOy31TnyTeisXO5bqPuhwYa3ZVLTysWH3Vu2IMOK6uF/hP+tj15KnWJL7NwFlklevG5CVmtOnagVar7u2RFx1r6xCcSAfZJ27wMoqu/bUbxtr+mGfY7c9ifoiO+KfRXaDMsJoCbKNOUaesBW6WmmLtFiPspiS/CkkOKmhx88nyjQf+WLDRe9W7Q/oVkARUbhaslugq668dmlSNwxRMTkOj6rSpylbYlFF1L5NKaZTk+wO/ZdO3acBIVXfptuJOiSwUUXeA2zbXoEnuvBKduJskwT4GVIHSJTGWomGOqmsAAkeBkYWvvnjdqaBHM7khlsWQyUlOHQDcRDo+n3pQY884fuX9vwHbQQRg9CHoWTGG8j8uf+1f3psvgdnDJ/O3ODXsenyX8FSqETIbjlgTuxh1bCw+qo+YooCnH+PbWnSR0/zrYNJvLe+SHKegSuBwtE4iKxigoIZuwtsaKIc1HoQy6eP3CGyQWvm6ACbtcmN5uLB8DcPlOQQVhCTWOaeVGyQXKedl69RmG7Tj4TEL8HBK0vuESK5eeZ03/gcya5vEB91EPzFymIh6jX5Mtl52hE5/jnVPrFlwciW1gHrBUfgtqb7igqLvCjlxN0YWNqFJ/HvFIL/b/XCL/gAm9VWPtMORI5oA6wBJCsUmv493qiO9TYmTRaa9CU1LKup9rxS6u7lL3D+Rv+l3MTolwgISFrxtZCzNHCkNrb1Bh2DS5oBiaVj41JZeVUbIw+msVbJUGKgy7ieAOPYk5Vb74cOugq2lNf2Q3ClQhsog2A3Zz1FmN5hTkZLN5eVlUd7t3Vm1wCb4fVBhiwdROoMIw/mT+eiGTpViQiKzLu+oKfpsTYH8UpQJKIKJmgc0uEaxvtsk0meCk6iHQIIIPAGr52X7NgvAZtt255h2CYFRkDsW0z7KfKJ5lHAAAArW+fd2yhWA8s5fM44NOWqIHmUM267Pq3xMEUcyY735SE8PggjGT6ubn7iSBsSkhG/1HfpimccEKbGpu44UeYn75mLFiaXaX9pNwYaIv0VZOKX/dABN23MsiLdw1j8Pnq1tiM8t7NWOzHQsrXmXh9JrT7XsKomci81YFM5g95hhkBDW6P+407BA7WS5TF69Vkqudl6cYlpZS36tshO4fX+1tnla5G0Ta/bA1rpCecxckAuzctZ3lwcuw6rJTR6orxd4xg/8pKPKvOX4vWgzK1os4vF0Ojw2bDnvZ5PBjIeyXFNSvgQkemTWmzriQeDCWVbh7/ptXURdsWChk6deNrNXFHdV7wZCzsL1ffmJmW9fcikxAUt3sHGSmca86coGy4zbqXr8FfTD5rQTT/Llvyxcf7DJA67Y1OsGkz3yTsSFXj0qa6TAuKU7o73mbWhFV2dbVv6Buid0l0fhcnrlyXEnmUap6IXulXpCIrMsrutDhlc5vkviHQZ6EvDB1zYxNEsgnNoerGpWRUCeIDehUW6VTJIjAlDLb+bwWfsARrHKip+FR02AqjQ86ajfrbQbsqYcZoQAAeNtbaPwufjyyt/thWhKUrbxvfu2xP2aSANrogzFv+heeasdSjtvBpyHqrdSOXCjOSMbXDTCICQdUppFcdE1B3wKBqGqGKWgelg1OcaqoUsjN0GtNixyr95/wfgewI7bFzSKjpqPMOrINmnGP05MdCyqUI3GphaBZPIvHC3bM9rHBHd19USWJAPukjX920bVJIL15ESXzOuqfFrA/xIX/WO5kO+TRtYWoW747sldn0e/4qM7/m/SIW/AEmZDkkOS6l3oIEo0x3r/07F8ekOPRJ+XP+yr/upG1vQEax4/2gzZrziFF8CT82Nrmfa+E1sXFp7iUsrlxmfq4/t2VyGlYzmHOINAugzncteG4yxCk+hwiDdkO2m/QQeP47Pk+7YL8rLFhs4RCdGNPS+eMpnUS5YDJZnKM5GLE8gC/j+EfeV0iso6JLqEL5Ee2JPb4+QBWmtVp+houFh4mGFHtchhBC2rCOrHEIVUQFyp7bOReCnafAfpOzVN2/l0a1Hu4LwUAwDBpxKDHaIH2AUHSWFyW/aBT7oog2tMBh3W3EpazIIhbaF5RYlUliEmY1zH82B978C48eU5Zn6Z1kmhmS9CM26vQz+7YClKMRRJPTwcYiUQikz/MZFFiKycvXqRf1+LspvJvgWvz2zWtE9pWyWlN/ZoxWSYlJUYVhSpN2OyFbpeRt12Hag0hnSsHq1YDVrnLdbINSKPaPMWcTANUnmd2jUdYSUBcJZfJ0X4SdjGIEpIEFSQCTOwe6Z6eD1lSpAFfPvTiJ58nevC/usL+lBr0pMkiavJN1eIvFQs/pi0Gq3bY/aso8DtM7E9+CIfEMlVzbHJeB5/L038RGe4uQJYUiTl7Vacj6+z1fOidF4MsCpn++rZ/fztoUOYTVR4UW7VEJN31SuhaXLmfmlg6O6HWjKlcHc9dzYJNRUvsQslaafBkyBxl63ldXNnS2KsMXO38rFpkZk73SA1+XNc+hc3l0WlM3WcRzTXHYrNJrO3jL0pE1jHRpa+vb21tTaefyVZ1dXW1rq6uvLx8eBhcY1IolKqqqpkZgQ2FKLnnA9hQN5h9bmcD3A8UHgWVA2oWWGGEQFRdlxIsnckBbdyXyaRv42M6VlegmzWbk9z6BXGh+AAfNhXtNebLO4wkJKztlELWco5Fvw2FLXBkLl8Z+aksZJMOigoai/UTJr5gQrDl5pNTa4g8wmFAbKVbaIlYzY76WGykINai2E+nnJ4OsJ6enhs3brS0nCneNovF6u7urqioqKyshCJMDg4O1tfXQzHjxWi4GIBBjbbWjaneDeJxeHGpTZ6hJUHFeAtssUZBrgu+6mVDPH5j3GnYSaizhR6Bz8ZHzUSGjdW9bkSrFeSYFBXLh6amN/SpmmJ6R5fHehcUb/mfIzuaGBPOcSoRYFA929uCkEjnqPaUR86HrFMq/NCfwl3yXjwI+ulN1P8Gw/5Z7G7Sb5U7/7Rg9g91K+reYy736x3+hgv7ISruRWiyTXCetnUyAADYiCq1e8Gkz2GdIezd6ciiUChn/AYKKzxj4WKQxWJxVH4Laq0FhUp4Qq1TQME2lfbYD9M9t3I/PbFwcty4E4ecbB8m91kN2DG5R1bWwl6ET8Eyl9MHiYTndfDmtbnbiejOlZVXwSkNE/P5Zf2GTmAYFDLpQPVuECQghQ9+ooJEZB0TXcPDw0+fPr19+3Zn5+9rMF1dXQ0MDFJTU5uamvb3901NTW1sbNTU1Hp6BM65wm6cD2Db6ySFn/3EIsSMThEea8asrgtyFg8vrf/sGje3CUZN5AOAcl6WW4MgaH3JyvC/S4PWDwSSb4e5a9ZnKQyNIaRNYqFlp027S6/30OkBipeh1Ihx7hOEWaucnf43Ko5wuNHF4/NfhaQkvvNHBgBA0zopOVeQeAWqnM3mqj8IqTueeExiu2IXTwcYk8kMCwv705/+5Ovry+UeOaiJVQKdTk9P37t3LyEhAYVCkcn/v733jGojidKG5//+23O+c3b23d0ZT87BM84e54yzQSKZHEzOOSMQSRJBSCByjiaaaDA5B5FzzklECQmU+jtyM0IWbSyEJBzUZ864uqm6VfWUnr7VVbfuXc/Ly1NUVDQwMHBwcNjrnkoyBAMbFhtcaq7CCXln5ZkREldpFJ3jmPryfmqCT2P59ZLA/rVZi3ZL3q+uzrUu3ZZnFQuNMqUhNrW51+KjbZ8XygcmJeU2yz0LY7LZ/s6Zkgx0wos2JMHADBoaGnZ2dozXTi95i0CmFxYWamtry8rK+vs5gd+oVGpVVdXk5M6cjLeIcMzilXCYNGWDpnrd7+5jzG9G/l+G+p4vsXDrUs4bPVUwdjJ9zPJpo8mfuS4/hvn/6YbVDUi/8xRbSxwd6Jy68Yt9ncQtaPi6uT+zGhsbz58/39Kys8TCV5bvlsFgdHZ2lpeXV1RUgAqvv7+/vr4efLHyZZYMs1hMltoddEE6xyYgPLlGzy5xmbJ53yempGNIMSsthkh0assxbcwgM9YMiCbEFX4jADKDbNpm0b7WnDPRc+9VcN3UxJkoAuh+t21qlhBXZfA6EPzCzConKFUv5+CzuC9IZr2husAW4HC4X3/91dDQ0N3d3c3Nzd7evqcHwljLwcFBTU0tNTWVyWSWlJRoa2tzDkJlZJiYmPD1hE6nm5qaQo4lX07e2y3qtu6jID4bpNX1TTm9sLzSHXfg23TGHWRUdNmO4UZsO/FkOH5ti7NmuM1k3C3B2bfsxtzqX+/XbNbFDYdSGG84tuetFACAgtlC5Qa1vJkC7vO8ya7fsj2G13cmzurZGVw/v91T86fsg0FnVAAATM6s3FXHNb6OIsotPto/B7uA7O/k95HIzfC2xP4EA0v19PTcu3fv8uXLLi4u7u7ujo6OYWEcTcB3DQwMXL9+HYfDtbVxfqlKSkqNjRxPEwoKCkTiG8E8OfPiiIi9nkP5BIrq1kk/LvC1uy+OAU5ei3ZYBvJF2b2UhOD2mstFGNIWxbHLqWhuZzpCZpBNiGbPp1PD+usflIXoFWSrZj1XwaagX1RZuj1Hh5fStxjyl70k45xmLwKQBAOzNTY2Xrx48cqVKyD+e8vyPnF0dFRXVw8LCyspKSGTycbGxvr6+goKCnvLHq3qItYNyV/2vizv/409+tskhEK9Vuzg2dpZteLxG969xtfLTb9N9PrJN+CudwzcKMIVk0ffoj+97uvvsuN8iLfLEk7vzywqlerq6vr111/7+fm9s2GDg4NXr17Fvr7W1tZKSkoUFBR0dHTc3d33vvEko7o4PqwVQpLDOX4+M4va1Mxjl9c3lYKSEyqJrlWv7EtKUsaaH5SGMFiA/0BA8BCer4/lCxWGrSZbrE1nYp5Zc1pWb9+jtMTqgVEZZPTY0ooXttARxTlENNA1/fgsYnZqJ+4rnxDR3kIyC0J1EYnEb7755q+//rr1+rp27RrkqlRbW1teXp6Hh4elpWVgYCAKhQKj7oI6DGx6e3t7aGior6/v06dP9w7kO7vnZpqw1w2dBeK5C3o39hUys0wOkwDuLa1QqX+H4aOIO77kK+eGfsx0rV3Ycdf0+qDJoGmbpXmbdeViFZ8CY7NZ3Ws9nr0+Gk3a5Qs7wU04dqKcaMu+Pl07y329S4s/BgeAbjsAAPDNqZBDJ2z/+9GTW9r5UCtk483IoflpjeoyGCFcBuxPMBA9Npttbm7+n//5nzdu3Lh169b169cNDAz2Aru2tlZYWJiWliYvL5+amqqpqQkuYZmbm3NDWlOp1OTk5KioKBgMlpvLf8Rtr8zDP2G+nh7mpTSSt+iPtEILqnuUsanokuqHqYkR3Q0XitBUBiN8NAI8UU5hUFy63V17XKcoS1eLgxAtRdfjY9wKX91FRmdXdd1Xww9PkepKeuQuIA96fu7wHQElQBKMK5zFYvn4+Pzxxx+2trb+/v4YDMbLy2tg4A2HYWBmOzs7TU3NnBzOsvOrV680NDQAAEhJSTEzM+NKAxPCRcLjEyL0bVpY5bWTrmd1A7/wRf1VYGvV/qBs6lE3yef5yA3tZu3jLxy+JaD/dMUquMQ+1AiZX94IdMlUuYmibBzMk6fQzdunoCDMam5uvnnzpoyMDAqFwmAwPj4+CQkQtj/9/f3Xrl2LiIjo7eU40FFWVq6p4TiYAAPw8rVBYpNCR/1YvBfHCKC2ZQSuH76yQjGIyvbNqkjp65RJjOtfmz/xwmucvNa/0avepD1G2Qnyzpnxs7bN2qyeT3F2QK4XB+ZMtbuXl5uW5Be3Ddz2jFrbpFq4PwdD6da96lW56bdyQOd2fIAIeAvJrDdU1/r6uoODw9dff43DHcAcTk1Nzd7e3s3NDQAAbrgasE39/f2pqakEAkFVVVUI1ZUcXqH9MJAvQHtmYdsTHQL5X/XQMTF7wjaIG3PEv772dETIxtbOAq5rW97JFz7TlN1IXWQGOX4sUb/V2KTNwrcfHT+emDSRGjSIs2q31W02wAwETm3ufgKz2Cy16tj7pXjQJh4AAJ0XWbD0HbN7Cm37BiI8smx3gdTWO8vBl3+jy8/hub0uZ5X/oNc7CVZdXX369Om7d++CoQgFkZ+ammpkZKSpqQkW0dbWBkNDcQ5ObW3l5eVlZmaqqamB701BBB4mz8wESfm6b0/reM/IvLJR1KuWwUe+caE1jY9Sk9KG2s8W+JHp9HHKmH6rkWO3qxHR1KnLhc6iIdqL4ZXhThUlsunJZjEvzOJehCVWq1tyAjG4mSQgTA9sDnOYLvCWhSQYb4a+vr6vv/76p59+unjx4oULF86ePVteXs6bAUw3NTWlp6c7OTnZ2dlhsVhw7t/c3Mw7Kezu7o6JiQkKClJRURGCWXsrPegTFpPlqBtz4SLiZ2PMsQjvmxWm/j03q6dhVdNyqJ7btytNvk1CfuuFue0acVMlKKuko6ao69Zvjt2vzd4OWpfI87+TWWCNtra2//Ef/3H+/PkLFy6cO3dOU1Nzb0tWV1ezsrLi4uLgcHhmZiZ3UmhmZsadFNJotIyMjKSkJCUlJclMCjHOmYjXdmHj08t31XGTk8uYghqzqBc1k+PnIglDK6RHZSGEfo6KDRjEWrTbrNI5GyssNit0OMyIaEZjUTpXZk/leQ9vLMqnpwa3NCRVtMH9ExkMpoppdFYRZ+UmK6FOXy74oGdV9wIoyBNIZr2hunR0dM6fP9/VJZDRSGFhYWlpKRaL1dLS6urqgsPhqamp2trae+cmQgfEG+iakj3nMdTDOfnLvZaWyTeVgyrqd+1BVIJTrOJ37AzXabTTESEeVTtvBBqTrlQZdaM4aO61hQVXyPL2StlCReRoDHrA368fEzIcljdbMM4z+wADfVk0Pf8712vk9TFkTsjKsZGvglBNMztLfxkNXWcd8EsbO8uPpFXKzadBfI536dsM7YcB6UI5GN2fYB0dHceOHfPx4fdxxe0jb2J8fDw9Pb20tFReXv7FixdYLNbS0jIuLk5JSWmvmaJkAuJxQjbXDSld81lfphRX92pbxVd1j97yiIxvbXuUklgyOXC+ADX0epF2iDwcNITLnn6xzaIRSTPHXyBj+xsvx0ahKqpueUS+aOpRMojMLmknr24+Ou1eX84fOo8XB7GmIQkG1kilUpFI5FdffeXn5ye4plFTU7O1tUUgEAAA1NTUgJHjQYFHrrrGhxbun3S7KIv61hHzfbqbTrNyxsjFqml4+vDlZy3ax/Psvw5B/e0WfEsPb+qaPjGy+OiUexIBQk+LdUTeJnx/ZoHBxC9evHjt2rW+PkF/TikpKeCkcGKC8xGjq6sLBpEHAEDyqisuuNQQzvn8oNOZdzVwtY3DJd1Dj3xihxZJl2IjSoZHIoaq77wMZrGBTeamc5ebMdEsYiTKscv1Wath3zpnh9WlLU+lOmZ6ff1cVFjlxJhjYrFregmZTLv1NIjYzdl2xXvl2WpHCf5jfttYCPIckllvqK7y8vLNzU1BZHG0blaWo6Ojn58faFLf2Nhoa2sbFwcR0VHoFXkWi6V51z8lcnf5Dmybg2+OufvOES4AACp6Rv60ChyY3dmLyhvs/yoQ1TC9s629skWRKw+7VIjpWn1DBe7fzeUtik5twl+5Xh3LOx9hKzTq6YhQrhkIjc64jYzyyeYsKINXck7TI51Q8uYbFjuDPdMPTroK5wd2f4KNjY3ttYj5ty38/05PT3t6ejo7O4OTPjqdjsPhnJycIC1CJbYiX/g6jBkAADHP6w3sk2v6x255RGZ0d99Ljm9dmLpTElw0/cYmK4VOv1SIQXYVuJWXwTJSEM9fqYemZxW339fAU7cZqWEV6ncwkpkG8uP7+h6SYGBOfX39EydOCDher169qq+vj4iIUFdXJxKJMBgsLy9PT08vKoo/ssERLhhmx9XKnPc4reH/JRp1ssjGvfNS7YxC3YwCpvfWnSrjbxOR3yExly3xMmrBrZ2TVqrhNlqRzDdDh0NiKJmH+zOru7v72LFjLi4ugpjVTE5O5ufn19XVKSkpZWRkYDAYe3v7jIwMeXn5lZUdazJupyS2YFiU2aJ03Rf04fnMPik6pW5ufeOUXfDY3LLmi0yXslfzW+vHc5FlcxwtRWFQsqayvfv8okZjZ6icl+QSjXw6zydvurN8dOxkRAiJsnkXGZXT2jswNH/7KXaBxLG7dtSL8bXffQlz+yiOBCSz3lBd4qiVA8TSkpGRkXD6meCbbyjPv5HYQBy9qhDA67FCBZuqH74baNWypPBEOH6evONPgULfMqhP/iXLPaS/intOeZ/OFs/0XizA3CwOGljbiRjJBtiauZlXYiO5S5Gxla2n7Xec/4KzG0WjyOAY/nllGKrAAI4Tzg/s/gTbp/2H/JPEVFcstsT49eCiw0utPTJqBscfeMcUDAzcSIieWl/Xqo13Iu5uuW2zmKpVMbIVhLrp8b/D8THNrTcREdlN3SZOqQGvT6lrPQiIDS45ZN8PUxySYKDAwsLC1dXdVev9a0lNTbWxsfHw8AAXdauqqszNzcPCwvYy6DDM2r8N7/yrt0XyP2dcfzMP+CoC+bDWMLT/StH4iayRSwYtin/mOXyJRZ10Cv5HyT8ytS4R9+rJOcTCrKDdf2fVh8+wP7NGRka4q+jvrGtyctLFxcXOzg60bKLRaGg02traurt75/AMrwSJMYvIWc/wnZngmF77hr609sxkA8B9n9is+u7swd5zkQSADdi3Zj96FcqAOi/k0V5wozgIANh6eTnmJQXj8yvnHPETy6tZhW3qFrF0BpPNZhsp4CXmOhmSWe+76upsHn102n24/43oFSw2W90yFhlcyP1ZdE3M/WbpX/zaKRTnC51Ov5+ccCcxdv3fTS8AAOKHG07n+Vwp8if0V49sLDFYnCDxvNfM5lruRId8RcSv2QgX4ot1+u5+smNZyY/BAb1LOy4zppfXT9hiY8p3zWdLa/quKgTMLbxxCo1GpWvcxSSE7Lj/4K1LkPT+BBNEgnB5JEYwlGMGaIbjFsA5OFneN/LYJ652fOJiTPj02kbWZNuJXO9JCmfqOkddU6mKuViInt5cVXqeZvIyH5VdqRycUtM8fEMpYHZpvat59MEpt5lJDleP6oIkmFgbc1Sqa5NM03uCPX0b+bUj5ucMJ50WvcxRmRcjP6B6FW5WGH8Vj/zBI+CUlr+eY3JpfvvdP53ryt6IASRWTAQR/tEza3ZyWfm6b3MNxwgoq6jtiS6B852UXGwSmbu2TfuTEFwyMry4tXE8FxnQw/92ql0Y/iHTtXy+f522/XsotmZm4nlt530fjldrJ79c0LxwdZmscdf/Vd6O9w1BMD9MHkhmve+qi8Fg6j4KIqB2TdVBCCrqBi7DMWNTu68qVG7lWQfc/OrOl9YChXI5NuJuUtw8ZdeX3Rx1PbCn7GpRwKk8b9nyMIP6FMfWXBdinlljumJl1IUC9Ok8X5uWrK6VN5YW7V69/CYIXTu5G4NcM+Q53D9x+/VRaI5ZzjZDyTjKJ5T/0HFz7eDDU26zk0Laj370BHN4FhPmxxlZW+/s4KjyV70j971jR0jLpyJCGqenGWymYkXk+QKUQX3y2Xzfx2Whc7S1aCLxRAS+bGDkolNoccegrWcmyCWHZzFuR+H8iZeQkATjzSDy9FGprpaqgWt/Op1QQR/z9ztZaIro9SQuOqYOn9Rp0fg9x+HLANQJy6AbqkG5+USNW2ic5649VmZW/QAAIABJREFUsMgREE7gR88sJsdlCRoMptXVP3NPEz83t/aya/CqeziNRrcqLQRtzYqmu7/NcCYMVDP//faqnB/8PdvDo53DyuCmhgvR4UyAbRCe5ZTKebkpmUQlZnGs0ob7ZmXPewz3zwqH/0FLQTLrfVddAABkJ9bLX/aivOkVkMVi69gm8DqF2qIzYOgE1eBU+r+m6rMbG3cSY09HhrbM7BoNvvZBzmhYHAvqLTNrStepTdCuTTBqSPHuLCqa7lneeuPI1+zGhnJm+s/4oPp/nXRwRrSw9i+bQPAcNDgGzwuI1xUD55f43TI5GcQ6G3JOngt3fdwEY7MBAxjueQwnQq65OyeWa9XA2E1EBGVr+1JsREInx4qJwtgO7Cl7VpcUN8zxVNkxN/d1EPrFYL99QqFOeAaxa/KavP/47Mr06NL9E67tjTuB3IRD+/ClIAl2eLH7SDgq1RXonHnpH/ffjf2/ivK6XaWD6783uR6L6re7XKZ/LNrrRxf/v5X8/EJL3IwTDGC4LRrHY/V7dX3czAKhdjVJ8HPg7EXRtumyemG5LzuoDMZ5J3x518jw2vJ3WAz4TssYJ/6R4/mkjOBEzNWsif8ly92FyJlqrG3Rjofh4jrbyJStMw64lrHp2bnV2yrYnkGOuqoo7IRf8pLYvjIksz4A1bW2QoFfROYkvuGiAgCArv6Zf2RR1U0cV13gNb64csYB55iy+/WzSaebFOV9HYj2qq5YpQnk4OpfYey0nq6/CLhbiTEDpF038NlN3T+aogvbONub4LVI2rihFBiXseMF+N/HnInJvb9dWl57EuM+PFDi4yYYk8l6esOvNJdzINrYJTUuvaFtcvasA45OZ5q/LNDIeSPeDSfGzerqryFBnrUVtb1jf9sEdU/PWyEy7H04R86xiBwD2AGOcxxoFATPDEkwwYsLkfNIVNc2jf7sQeDp6x7fOPv/kmGv02pSOWufN+Wl3GT+c4bDVyj07zpodet4Aqbo8Wl34QyUhIDiQEU+bmaBUKSEV+jL7ZDCCZULHtqxis9/RuDYBJgW5d1MiAEPpA6uL7i15ytVRps0pFbP77xOXStenYsi0Nms+MrWmx4RLID9oqTzkQ6B/nqpKcQnz1oz8kCYHyYzJLM+ANUFAECkf7HqLT/qJn+8K//wV/c08Ctru1aRzcNTf1gGeGa8sYCb0dtzKjzkVEQIrqlh6l0ua1eo1Oz+3ntJcT/iArxrKjfpu3PGfGL/D6aoqLLdLS6OByNkBscf5Z6AvD62aSZKoSC+wg3bx00wGnVb9rxHYwVnEsAJQ/68YZy0esYeR1qlNMxMfYfFdC/s2MgAANA2N/tXGE43P4dC276JiAgsqiF2TFyGYcaml0kL6w9Ou5W+4PdnIxzmhykFSbDDCHxn2SNRXUPdM08uIk8qo77wQ/1VYODTj9xkbNt1OZ59qX8s3OdnG8wl1UBs8Ev4Oc+8NI7Hlvfw+riZBQLeWjf06AxieYljDVhS1SujFsxksJpGpk7YYMcWVpaom7+FYpFVuwbSvMP0anT4WACqdJTjzOGudzQmj+Mo1dQ1zRO7Y15gCMdHYDjBayRzQTLrw1BdKySy7HmPzDjOGTrei0qjKxpF2ni94Vqmtn/8T6sAm4QC7l4UJ5wajYZtrDsfFXacEKySlR7UWF89MTaxtrpCo67QqLPkjdbZmdh2omHBi/NRYb+HYq1Ling/tgAASKgi/mCCCn35xtdV6ouWf2RR/SO7L1mweUO9M3ePOzdW7X6c8TZbwPTHTbCVpY0n5xCdzZxVPhPX1MjkmvWtreuI8KpezhOt3MyzkYSG6cnx1VVMfc13WIxRAWcdwzGp6K53NIW2rW4e643nfF6HoQo07vpvb/GHWxMQZBFmgySYCOXvFXUkqis3sf7MHw6/6GOORXldKtNJmUzMn82VqVL9LtXtGyTmD1U/G0SGvmywuymE74m9XTiSJx83s0BIF+fWlK76gAFXF0lkGXVcZf0gx9ErOsE5leNZrXhk6At/v5Bm/ulFzcT4N1iMVzVHqxW3D56wxc6vkZdXKLdVsOX1HLuPhdk1hSvetaVvHFwR6zhCMuvDUF2ccODhFXLnPffGDxwcW7ggh45MqeXFjjg6c8E5BO6fOLLwhokElU7PH+w3LcqXSYo7ExH6Cz7w15Cg30KwP+MD/wrDXY+P1sjJjGknLlDe2PEi07acUop/Mcck17xhUdPYNnb2kW9WIcR831Y7ykbrsB/UHzfBZiZIsIvIvg7O8Tsrz4yAiFcAAMhhErCFnKFcoFB0XmT/gPP/ERdwMSYiroMDcnpd5y/mmOGl5dyi9htKgUsrlI21zcdnEQXPd5xY8v4GJJ+GJJhYmyF51cVisSyUCaeuIr53xHyXgoDXGfr2e+u06J3It/oi2O9nIzTMOMLeKF7tFmovVcUKxYGEf9zMAqFgsdimyqE4rx0bGUvPDLvX4aJKO4eOWwcOzXEM3NJ7ur4OQmvnZjVOT1G2t4dXlpHVFV8HoR1elbABNp3JvOsdjXjOIWZmYdtDrRDK6zjvNSXd8pe8JRmcAZJZH4zqotHo6jIYjPMbH1jgIJXW9p964JNbwom9wr1mVtbVglP/tg2Kq2zlGm5w/0pjMCbX1roW5uumJmsnJ9rmZkdWlkG/vdw8YKKqd/Q2MvKyK6FuYNfCkOMOcXThirw/OryULz9nD7Oo686fTkO9b5gp7s32zicfN8HGBucVLnsN9nAsaJzRuc6v/VI6p75Uw6VxkeldWuxcmCdvcxaKq3vHfjJDZTX3UMhb1xQD0vI4y7YE33y1O+i9K8lcCZJMQBJMrA2QvOoa6597dN7zBMz3KxTqxyzXpw166s1K18tMjsV5feuMPqceYG2dJHva/X2zhucbhY+bWdzORgcWG8B2DpVW1A/eUA5aeL1+qIZL1cDvnCZumpmGpSf/Hor9BR/0Mz7oSlxkUtfOizS8tPG0XfD8GsdCW8s63o+wc2gy1DffRDGUW4sEEpDM+mBUFwAATdUDN391gAyumvqi5fRDn4LyN44BMlms8NLGU3bBD31j81r7qNu7u1aCwE0cndYPz/rdMsA+qZD0r7cnsODQ+OIdVay9bzYYKJlX2gqJDLvgGb7Hmp83j4Dpj5tgw/2zile9QQWPDivRfx1JoXlk6i+boN7pnfNzXKAqekZ+twzA5HPMEa08MzSt4lhs9uLc2oOTri9zdrwtczMfVQKSYGJtjORVV15S/eUTLn8a+f8v3vNKceDL+VcajdbfZzgdQ6N+1UZpm8cpX/MJ8d7xyibWvh9G+MfNLC4y/V3TD066jQ9xtjM4Qbz0w8OTOAwanFv6wyqAG3ADAIDepcWK8dHW2RkqfWfhvX189hdzTHo9J0ZHW/fkZXnMwOttETabrf0gIDGU3/cCt1JxJCCZdVjVRX19gc2dmJiADNEmQoJhXDKVrvlurEHYCsZnNJx+4JOez/8im1hadU4pPmkXfNcrOiC/pmdqnvbv8OxFmcFkTZHW4ipbnwal/G0TpBnyvHmYP1hJe+/0TeUgG+/M7W2I/RUPi2SNu/4iMRsVB8HW19fBAF1ra2tvC4otmSPJO6rr9VdXUk7zU9NoOp3JBtjaoc/hmARu1GkmixVV1vyLOcY3h7P4nlPcfkEWPTjG0W0opwzdR0GMf0/X7R1NCT+BJJhY2yBCZgnYTn/nzD9PO/1gi/n/op0c23IWaJRLxQH/j+DxvSXqjg5eXTbI4AmW+qYvNAElSzKbOJglSPslwyxuS7a3GJr3/NMid6LRJmY33tPArW1wXp4ZDV0/mqILiNCb8cNzpHOOeNvEndO0Fh7PuY73+jqnHp9xBxdLuBWJOwHJrEOprvn5+X/++Sc0lGNH5+HhoaSkpKmpCXqf5O2MCAlGXqep3UG7mybyyuemMwvbzj709Q8v3fs6m15eCyyoeewXd8ou+JZnpFnMC8yL6rjK1oyGrqzG7qTqNlxRnUNSkRw64ZRd8E3PCMfk4rYxiBW//LLuf56gEEH5kA7ZcpLqb/7q0NcJERWQ20jBEyInWEBAwMWLFykUSldX19OnTxUVFSGDe0mGYBPDC/KXvMAwZg3EsUfaoZOvI4hOL69ddQ977BcXW9FKKG18gor/2yYotZazyzg0tvCPLColl7NU2Nc5efsPp4ZKaO4JDrIIc0ISTGj5DAZj+/VKKWfnb2EBMp61CJklSDtXFjcUr/v99dj7Ky/fb9Pd8qY7TZpS/yvW8VtP1ElNf02tcNg5j9723Qgagsg8kjwiZxboYxd8mW5ubpJIu64SeDsoGWbx1hjsmWusEMJmsQEAIFO2HmjiuWYBIcX1P5miw0oauUHnwYLl3SNn7IP1wrNor42r23umLsLQHb07M3iCb4EBLHjvC5a3UpGnIZklvOqi0+m+vr6KiooRERFEIlFBQYFGo+HxeHt7e76mb25umpiYgDXx/UmI28Ge6Tt/OiWGvmH+zpXz2jNQoLZ1wiiUTyA6g9k3vZBc026bWCgfkHTXK1rGK4rzHzL6sV+ccWQO4WVj8/Dk2uauCyiu5HUyzSu46Owj39jn0CGkO5pHb/7qkJ0E/VeuHMEToiVYTU2NkZGRoqIiiUTS19fPycnZ2Nh48uTJ3pBRBAJBAqEmF2ZW5f7x7GoZ4wQL36DeVgnmRgOYWdlwTC6+6RF51yvaK6t8isRxr7VOpj3RJdj57HiqtFANc9CLFRxMCeSEJJhw9ZJIpGvXroWHh3NitPv5KSgo6Orqzszwz6UkrLpKM1svn3A5roP5vyDvs/l+li3p32W4HQv0/dkQ/Vgj5OEZ99igo/QhKTjUomUWx406Hn/t2jUKhdLf36+qqqqgoBAbC/HjlLzq6iaOPzq9+5GUWdR2Rd5/en7HX11GY9dJO+xDn9jQlw25zb1JNW3aIc9/t/T3eP4K9JPHZLI0rOLs/w3kxPmMu+ufKPEIAJDMElJ1sVismJiY4uLinJyc2NjYlJQUJBK5N9TkxMREWVlZRkaGpqamqFQXAABlee3XfrJ/9ZajPLMLa8YuqZdgmMjU2s3XJjFv+02z2GzK1jaZtg2es3tbNgAAXlb1PtQKeaJLaGrnvGr3XuPDCw9PuwW8Dvi796/CPREhwSYnJ11dXefm5szNzcfGxlRVVRcWOGtupqamhYU7ZzXodHp9fX11dbWhoWF29m50aeEa/85SFDLtyVmPpqqdWIsWiOfO6F1nu5zoQa+niqAcKpWuZRP/1DQaHNDCjOa7x53HXi/iv7MiiWWAJJgQtTOZTDQaLSsrGx4e3tHRAYfDNzY2AgMDnZyc+KRRKBRjY2MRMotPPt+tr1XqqVPOP1r7Hwv1/iHb5ftMl2MRXt/Zo69qB8Nuo6xUwoVzM81XiwRuRcgsAAAaGxv19fXhcPjy8rKRkVF6ejqJRHr8+PHQ0K63BLBToaGhEpgU8gFoAAsGw04CAMBksbRt4k3ddi2hZlbW/XIq7nlFX3MPu4GIsIrPbx3d9T0Un9lwVdF/em7HdXJj5cBhPNvxNUzwW0hmCam6VlZWrl+/7uTkdP/+fRkZGXd3dzBwVENDA29AvIaGBk9PT1tbW0VFRdESLDm84sbPdvsEZ8oqapdRC36sS3ieTwRtOgVHipuTxWJXNQ7p2iVehmMw4SXrbwnwOju1rHDF20EvRrTUFSHB8Hi8jIyMi4vLH3/84evrq6GhMTvLcehiaGj48iXnkAcAAJubm3g83s/PT0ZGJi9P7DvtTCZL+brvy+ydvcnyuoGrCv4zb/ovBhu2vkF7Zp/0RDcUdLW1vLTx5CxCaKfGoExx/B+SYAetiM1mJyUlFRQU5OTkxMXFpaamenp67p0Uzs7ONjQ0FBYWamlpiZZZb2swjbqtD8P9dcfjSye/q6nhjyrwP8R7f+OFOa6LeSwXKHsGAZ5zeFvx9+q5CJk1Ozvr7u4+PT1tYWExMTGhqqo6P88xi+CbFLa1tbW2tpqbm2dl7Qa4kAwmuUkN8IvIjfUd+4ChscVLMExU6huniQAA2KBtgbvg3Fa1dk2cfeT7ooRjqQFedjrRbibQmzX/ZhHLv5DMElJ1MRiMzs7O2tpaAwMDXV3dxsZGGAzW09Pj6OiIRqP5mi+mqEIRmKKbvzqAZ+74agRvV9ep+LiK26rYB1qhQdFlbT1TgpN8bIqUlN2kahZzRSHA0S9ncJTf5o1b4+zUsvI1Xwu1cJGYZnDFcuzvBwbMzc15nwidnp+fr6+vz87OPn/+fHV1taOjY1BQEJFIfPLkCajDeCVLJqoQmw2YKIVwNRCDwdSwjLNC8vt/GhhdkDeMgBuEc6d+biYJuo+DaNSD2YvydlBMaUiCHbSulZWVa9euubq6Pn78+P79++7u7r6+vuDUnndSWFtb6+rqamFhoaCgIPiv+qCN4c3f0zJ287Tbn6p+nyO8w4jN+Pa6//JD/mCKuqsWfO+ka2oEtF8GXgnvT1qEzMLj8Xfu3PH09Dx+/DgKhdLQ0Jib44S5MDIyKi7e8UhHoVACAwORSOStW7ckMCnkw3ljdVP+klcGjz+Hl1W9px/4ZEIdSOWW7Rueu6Lg7xu6M6/l7DT3ztz726W9cYSbR2IJSGYJqbq4jS4uLs7M5Jy1SklJUVFRcXZ23husUnwr8lEBxTd+sS/KeMMzE7dtYIK0QknOaVY1j7mtgoXphXsEFeSWdBC7J8cmSYukjdV16toGlbRCmZxd6eyfKanuDYoqU7OIva2ClX0WFhD5anRy14Ehn2QAAPq7p+T+8bTWiBS53hKt6gJbzmQyUSgUuI1sbm6urq5eWgpxLk1iK/JeNqle1qlcVHuH5q4q+Nv7ciYKpBVK3/BcQMSrizCMlWfG+muzKAAACjOab//mONi9u6bBLX7kCUiCHbRVdDq9sbGxpKREW1tbU1OzuroaDoePjIy4ubl5e3vzSRM6/jifHEFuQzxyT592+d0Y850/xrg475+Y8GMOvuc0Au5eQZorhdKhrG0FEXskeUSouqampl69epWcnHzmzJlXr17Z2toSCITe3t7Hjx9PTfEbJ0ss/jgfqnG4UqVrvrzvqPT81tMPfcKSqiENLspqBy7BMM7oF7yzIg+LZHMVTvAUyV+QzDqs6hKkG+JTXQAApEVVXf/JPtK/COAY0ex39QzMJmU32XhlPtIOva2KfaxDkDeIUDSKVDSOVDCMkH0WJqOOu6uOM3BMJiRWNbaNbr2LjRWFnTLHnT0sksXkG1uEBNsPlz1/k5jqSgor134QyFt/79CcsknUbRWsvEHEbVWsknFkYfmuv5mRgbk7fzil7YmazSvhCNOQBBO6PQUFBenpnHOjMTExysrKtra263vcb5JIJKGDuB6oYVvUbZ0HgSduevxhHfhXCO7zQJ+vPVHH9f3vPsE8OYN4P2cS+3RQ5MxisVhIJJJKpc7NzRkZGamoqOTn5+9tgMSYxVf16jJF9h/P1DeJU1TZc00pQM0itriyZ2Z+lby5tbRMbu2asPfNPv/EDx9XwXtotbdj8vbvjq11/Lt3fBWJ6RaSWR+86uL4WSjpfnDS1VojYm6KP6I2JJRMJmt2YY3YPVleN1BQ3p1f1lVa3dfYNjY2uUTbEmgZanubEeKTf+MXh+jA3Q9qyLoO81DkBBOwMRIjWFP1APwiki+eGZvNbuuefFnV2z0wwzvp21ijqstgXIyEDyIjYPeFzgZJMKGl8RZk/hvHh/fhIeOP84na/7a3dfz+Px5/ynvf84mJ72g7gcP/bIK6ohRw+2+XOOyHYVXI20FxM4v3d8tbr8SYxVspmM6Iq3l42m3xX4ML8OH03KontvC2KvahdoiKWTRMP/yaUoChcwqx640TDmwAMFUOdTKI2ytWMk8gmfUxqC5ORIyheQM47slZROG+i4ciAbqnbUL3cZDseY+a0jecd4hEOK8QcROMty7etMQItrFGVbjiXZS533ov2DAGnWmnE60ug1lf2Y0SwNvm9yENSTCxNkys6xm8Lc9NqDv1h8NPaj4OKcXTpLVLboS/1dE3L3maKYZSKVu8OT+I9EfPrL2jQKcz9GSDXY0hfCIvr1Kqm4ayittfVvWCZyv5imcn1N/7y2VqbL+tE74ior2FZNZHoroAAKBvM2KCSmSOO1uph/e0vTFrEBWOC7Or/i5Zt393RJglkhb5A0uKqhaunE+BYF7WqbZaUdwuQyZYLLaXVcrjs4iJkbcay0AWlPBDSIKJtQ2SUV1sFttKLfzURbcfdHxR+VXPIrJ+1PS5LYt5eNINPJYn1j6KQ/inwKy9uA10T9/63TEvld9V/N6cvE+G+2Zk/nTOjOO3SOTNI+40JLM+HtUFwjc6MOegFytz3NnVJEGECmxueiXMr+DRGXftBwEScy36KRCsp23izp9O3cQ3XBvzMoFBZ3mYJz046dbfxb/pzZvtfUhDEkysDZOM6hrumXl4zuOcnN+fFgEX3Al/mPpfUQ64fsIlwm/HUZBY+ygO4Z8CsyBxy4yvvfmrQ5vAVoKrJPLTG35uUN9qkPLF9BCSWR+b6gKxa64ZtNaMvPeXi4VqWH560/qqkKtM9G1GfXmfp2Xy4zMIzbv++WlNkAY5YhqwT4RgrsYJz55gIR1Czk6STJRCYReQh3fDL6Yx4hULSTDeDCJPS0Z1ZURVXznpelbV/1tTv6tu4Vd1gm/f8H72MJC2J/SryDsoJoGfCLMg0Qtyz7l/wqWn7a2TRW6ptRWKvlzwsydY8r9nwrh/knACklkfp+oCke1pm/C1S1e44i173tPVOD47sa6bOE4hQzh54h0JJoM5MjBXkktEO2c+veH75LyHrU5URWGn5IMZfiIEm59Zlb/s7agXu7ayGyaNurmdFV/7+AzCWDGEz46Dd7DeqzQkwcTaQsmoLh/rtD+P2xsh0yMqmg2RadcfomROuNSX9Yq1a2IV/okwCxJDNovtZ/9c5k/nisLds8Z7c44OzGncxWg/DFj612vU3jwSewLJrI9ZdYHIkhbWKwo7PS2TVW6iFK/6KF/3NYDjkJYpBL+CpLDyjLiarPja1MjKyIBilONzcxWCyk0/pWs+ile9bbQjc5LqJ0cXJTZCfBV9OgQbGZhTv4ORv+SF9chNi6rCcCYNfrLnPRJCyz6gA0OQBOMbU9HeSkB1rS6Rla77nr2NrGoeInZN3nyKvXnGLRAqbJ5ouyZWaZ8Os94GY3Tgyxu/Onjbpo0P8e8fryyR40Ne3f3L2eFZzMaakOtVb6tXuOeQzPr4VRcXLDqdOdA9XZJDjA566Wufbq8bbaIYoieL1XuCNZLHW2tGelokE/wKXqQ2tDeNHvk3sjiOJHOh2D8hMQtD3masr26mRlbaaEUawnFO+nFpUVULszue03izvc9pSIKJtcESUF2lOcS7p1yvyvtnl3QomkXfuu2tdsNv8UMbGr5RkKouAABa64f1ZIMfnna30YyMw5XmpzWlR1chzBLlL3kpXPbKTqzndSLKB6CEbyGZ9Qmprr1ws9kcH68sFhtEYW+Go33yaRLs/RwLQX4JkAQTpKDQeSSgutxNEy11o+5o4K6rBKkaRD445VZR8EY4cqEbf4QFP01m7QWczWbXvurBuGSaPSXoPAw0hOM9LJLz0hrfk48tboMhmfVJqy4uNO9nQuQEE1ArHMlX1/s5BAdqFSTBDiThoJnFrbpo1G3Nu/5ZCXX2mNwHWnjtx4Guhu/vkXDB0RM5swSs+r1lFovF3t5mSNIGTUDEwGyQzBJedRUUFBgYGOjp6YGux5OSkp4+fero6Eih7G62gxWLm2AHQuEDyixCgpFIJHd3dz09PXd3dzKZvLCwYGpqqqamxnUbzwvLe0sw3ka+h2lIgom1neJmVjdxQvYfz8nhBTqT5Y/MlTvnIaDDGrH2+vDCRcisAzVGyqwDwcXNDMks4VXX1NTUxsZGe3u7rKxsZWUlDAbr6+tzcnLy8/PjVgkm1tbWJBlViK/2D/dWhATb3NycmJhgMBhGRkYRERHOzs7BwcHt7e2PHz/eG8AQj8eD3vM+XOiOpOWQBBOiJcXFxcbGxoaGhhUVHHfsGRkZ6urqCASCRuM3jhW36orFljx7HAQAwOzk8pPTiOxEkYVRFQIWERYRIbOWl5c9PT0NDAx8fHyoVOry8rKNjY2WllZlZeXeBktV115MBHkCySzhVRcAADk5OXp6elgsNiYmBoFA7A3NQCaTZ2ZmOjs79fT0BFytEqQnn0geERIMAID5+XlfX18VFZWGhgZ1dXUw1omRkRH3w4vFYs3Pzy8uLiIQiIwM/uAjnwjmh+kmJMGEEDg2Nra4uNjU1CQnJ1dbWysnJ0ckEm1sbAICAvikraysiHVSaKwQEhvMcVFoqhxqoxnJZLD4GvCB3oqQWWQyeXBwkEwm6+vrR0VFubu7o9Ho+vr6J0+egNFPeCHC4XDSSSEvIAKmIZl1KNXV0dERHBzs6urq6+sLfmw1NzfzRhUqKyszMTHR0tKCwWACtlKajYuACAnGCSW3sZGbm2tmZpaQkKChobE3SjKZTPbw8LC2tr548SKk32tuw6QJSAQgCQaZ850PCwsLzc3NAwICYmNj3dzcAADgC+JKo9GWl5cHBgb09fXFNCncpGzBLyLbGkby05run3D9OJYKQeRFy6zFxcWgoCB1dfXa2lp1dfXpaU5EHgMDg5KSHcfEbDZ7dXV1Y2PD29v7+fPn7xx9aQY+BCCZJbzqWl5eBgCASqXCYDACgaChoUGlUnE4nIODA1/Fy8vLYp0b8lX30dyKkGCbm5tUKidMKhaLtbW1NTExyc7OXltbe/z48eDgIB9iwcHB0rkhHyaC3EISTJCCe/M0NTX5+PggEAgUCnVUk8KR/lnNe/7xIWUPT7nlpzfvbeSH+0SEzAIAYHV1NTk52dDQMDU1VV1dfXGRcxLU1NS0oGDHURaZTEYgENbW1hcuXJBOCoX42UAyS3jExUHmAAAY3klEQVTVhcPh9PX1tbS0wsLCqFSqj4+PoqKilpbW3gBrEosqJAQo73MRERKsv7/fwMDA2NhYX19/bGysp6dHRUVFUVExIiJiLwJS1bUXE0GeQBJMkIJ8eTY2NgAAYDAYMBgMh8Npa2szGIzw8HBbW1tuTs55DjZ7YWFBfPG6Brqn7v/teu5LCxzyBbfejyMhQmbRaDQGgwEAQEhIiLW1taGhYUFBAZVKffLkSV9fHxcuFouz1hoYGCidFHIxETwBySzhVReFQpmYmACnGGAjpqam9u4kSzKqkOBYfBA5RUgwcB9rfHycTt8JSLa+vg5ud+2FQrqZvBcTQZ5AEkyQgnx5cDickZGRtrY2FoulUCju7u7Kyspqamqjo6N8OZeXl8Wnuqib2xHoQlfj+Hf6TuNr1ft/K0Jm9fX1GRkZmZub6+joDA4Otre3K72+cDjcXhykk8K9mAjyBJJZwqsuQaoE84jbDkrwlnxYOUVIsAN1XKq6DgQXNzMkwbh/FTyxurra39/Pu3oxNDQEforxCZEyiw8QAW9FyCwmkzkxMdHf3w8uyIMz9bGxMciWSJkFCcs7H0IyS6q63onbkWUQIcEO1AcpwQ4EFzczJMG4fxVHQqq6hENVyizhcDuqUpDMkqquoxqOd9crJdi7MXqfckASTKwNlKou4eCVMks43I6qFCSzpKrrqIbj3fVKCfZujN6nHJAEE2sDpapLOHilzBIOt6MqBcksqeo6quF4d71Sgr0bo/cpByTBxNpAqeoSDl4ps4TD7ahKQTJLqrqOajjeXa+UYO/G6H3KAUkwsTZQqrqEg1fKLOFwO6pSkMySqq6jGo531ysl2Lsxep9yQBJMrA2Uqi7h4JUySzjcjqoUJLOkquuohuPd9UoJ9m6M3qcckAQTawOlqks4eKXMEg63oyoFySyp6jqq4Xh3vVKCvRuj9ykHJMHE2kCp6hIOXimzhMPtqEpBMkuquo5qON5dr5Rg78bofcoBSTCxNlCquoSDV8os4XA7qlKQzBJedRUXFzs7O3t7e4OekhkMBoFAsLOza29v5+uhlGB8gAh4K0KCLSws+Pv7Ozo65uTkgLW3tbXZ2toSCAQmk8nXHumRZD5ABLyFJJiAZYXLJmWWcLiJkFkHaoCUWQeCi5sZklnCq66MjIzi4mI8Hg9GOcHhcAYGBmlpaXJycvPz89xaAQAgkUjGxsa8T6RpQRAYHBw0NzcXJOc78wwNDcXGxpaXlysoKLx69YpMJj958iQtLc3Y2Dg4OJiveHBwsDQ0Ax8mgtwiEIiysjJBcu6fp7y83MPDIyAgAAxMw2azY2NjXV1ded25ghKkqmt/JN/2VxGqLhKJhMfj3d3di4uLwep6e3tdXFzi4uLAdytvG6SqixcNwdMiVl1gxf39/YqKimw2W0NDo62tDQAAExMT7tQezAMGPRG8odKcIAJDQ0OiUl1cSE1NTfPy8ioqKsDJREdHh6qqKt+Hl1R1ceE6UEJUqislJSUrKwuDwejp6QEAEB4erqOjExMTIy8vv7S0xNskMCYD7xNpWhAERDgpHBwcJBAI+fn58vLylZWVm5ubMBgsOjpaT0+PQCDwNUbKLD5ABLyFZJbwX13g59TTp0/B6YaysvLIyAgAAI6OjsnJyWCbuKEmf/vtN0NDQ2NjYyOxXaampioqKlpaWqampmKrhCMYrEhTU1OsFZmZmSkrK6urqws4uoJki4+PNzAw2NraSk5OdnJyAgCgr69PTU0NdCcPRhWysrK6cOHC7du3raysxAejsbGxnp6ekpKSWH8SRkZGYJwXRUVFcVdkZWV16tSpmpoaQQZCkDzDw8NwOBycFLa2tgIAYGRklJuby1t2fX3d1NSU94k0LQgCo6OjFhYWguQUPI+5uXlOTk51dbWhoSEAAG1tbWpqamCsE66QkJCQrKws7q00ISACnp6ee9czhFddi4uLxsbGhYWFYPU6OjpgWkVFpbKyEnxIoVDm5ua6urrA4KGzs7MzYrtIJJKFhUVUVNTS0pLYKuEIJpFIVlZW4eHhYq1ofn6+urpahAutmZmZpqamYGyhmpoaZWVlAABKSkq0tbXBHwGLxVpYWFhaWkIgEAQCYXFxUXwwzs/PNzQ0KCgozM3NifVXMT8/39zcLC8vL+6KlpaWLC0t9xJMQHLyZVtfX1dXV3/xghMo6+nTp3snhRUVFZaWls+ePfvjjz/MzMwsLCzMxXZZWlrq6OgYGBhYWlqKrRKOYEtLS11dXX19fbFWZGVlpaampqGhwYf5YW7T09N1dHSoVGpKSoqzs/PeSaGXl5e9vf3ly5fv3r1rb28vPhgtLCzAwPRi/UmYm5tzKxJfX0DJ9vb2Z86c2TspFF51KSkpnTx5Mjg4ODY2lsFgVFRUyMvLGxoaWlhYbG9v8/4OVlZWwKUP3ofiSCORSMkEIfX29uab/4qjO0NDQ+AM7vDCm5qaPv/8c0tLy4CAgK6urq2tLQsLCwMDAwUFhYqKCj75gYGBaWlpfA9Ffjs9Pa2vry9ysXsFzs3NSaYiFxcXbkz3vc0Q/Mnq6qqFhQV3eq6lpQWKVVNT46rGtbW1sbGxlpYWFRWV4eHhUXFe09PTxsbGoaGhU1NT4qxndHp62tTUFIfDibWi8fHx0tJSIyMjwUdk/5z5+fmGhoZgqMLKykpVVVUAAMrLy7W0tMDXK5PJnHp9ubi4BAcHi7t3lZWVcnJyY2NjYh2s8fHxmpoaWVlZcVc0NTVlampaXl7ONwrCq662traqqqqioqLa2lpws6Svr6+0tHRra4uvjs3NzeLiYrAmvj+J9raurm5oaEi0MiGl1dfXDw4OQv5JhA+Xl5dF8ioEl3arq6tLS0sLCwvBQFA0Gq20tHTvzj8AAM3NzZDPRdg1AADW19e5O9uilcwnbWNjQzIVVVdXj4+P89UuxK2KisqJEyfCw8OTk5OZTObLly/l5eXNzc2NjIz4yLW6uvrs2TMhqjhoESQSyQ1Xf9CyB8rv4+MjgUnh8PCwqCaFzc3Nn3/+ubW1dWhoaG9vL5VKNTIyMjMzU1BQePnyJV/fJRMleWZmRjKfCvPz85KpCHJSKLzq4hsV6a0UASkCIkGgvr6+uLg4Ozu7rKwMnBS2t7fn5uZSKBQ++Zubmy9evJDApLCqqmpgYICvdnHcVldXS2DatLS0JKrlmYWFheLi4ry8vMzMTDDCJIVCyc3N3XtGCACA+vr6rq4uceDGK3N1dRVcauZ9KI70+vq6ZCoqKysD18x5eyFVXbxoSNNSBKQISBGQIvABICAu1TU/P5+YmBgWFsbVln19fXg8vrGxURyodHV1gdMoBoORnJyckJAALj2Ltq7S0tKQkBDQ3AusKD4+nhvYW1R1VVRU4PH4pqYmUCCRSMTj8eKerFVXV4eGhubl5YE2USwWKz09PSYmhkwmi6pfXDlMJjMjI2N0dBQAgM7OTjweTyQSuX8VVWJubi4iIiIpKQnsQldXFx6PB8dOVFUAALC4uBgVFRUfH7++vg4AAI1Gi4+PT05OBo02RViRVJQUASkCvAiIS3VVVlZ6e3vjcDjQimxyclJOTg6FQsHh8NraWt4WHD69urp6//79GzdusNlsJBJpYmJiY2Pj4ODAZ5l6mIrAY6E2NjZpaWmgUvH09DQxMbG1tXVwcOA7F3WYinJyclRUVJKTk2EwGJFI7Ovrk5WVRaPRcnJyPT09h5G8T1kajYZGoyMjI/X19QMDAwEAQKFQBgYGjo6OlpaWoFHiPsUP+qfU1NT/+Z//yc3NHR0d5fZOtNoLtCwgEAg5OTnr6+v9/f2ysrIoFAoGg4lQe1GpVG1tbSwWi0AgLCwsmEymk5MTaB2HQCDEtI5HIpGys7MTExNBLzYAAIyNjcXGxnZ0dBx0IATJPzg4CO6Qs9nsnJycrKwskf8eAACora2NjY0F52dsNjs3NzczM1Pk6r+xsTE2NrazsxPseG9vb2xsrLh3x1taWuLi4l69esVFOz8/Pz09XRxzaxaLVVxcPDk5CQDA4OBgbGxsb28vt15RJUgkUlJSUlZWFriCDbo7EHlFq6urqampmZmZ4LcBnU7PzMzMzc3lvtXFpbq4MCkrK3d1dcXFxbm4uAAAkJCQYGtry/2rSBJoNDo0NNTc3HxmZgYOh1MoFBaLBYPBJiYmRCIftCmQkZGxs7Pz8vIaHR2lUqmysrIbGxsAAMDhcPADQiR1paenW1tbDw8PGxkZdXR0+Pv7g94u0Gi0n5+fSKrYR0h5ebm2tjaDwYDBYKArB3l5edH+KFtbW318fJycnEpKSiIiInx9fQEACAkJcXd336dhB/0TgUC4d++et7d3amoqm83GYrHe3t4AAISFhYG/w4MKhMxPoVD09PTKysrS09NdXFzm5ubgcDiLxdrc3NzrUwZSghAPy8vL3dzc0Gi0kpISeIBBXl4egUDA4XDul7oQYiGLbGxsPHz48Pr162w2G4VC6evrm5qaurm5iVYrJycnW1lZJSQk1NXVAQDg5+enp6dnZmbm6urKfU9BNu9AD/Pz858+fRoZGQmHwzs6OoaGhuTk5Dw9PeFwuPi28Wg0GjiD19HRwePxAAAEBQVpa2tbWVnZ29uLcMoLQpGVlQVOCsFPBU9PTxgMxlXVB4LrbZnn5+fNzMyCg4PT09PX1taGh4dhMJiHhwcMBhPh5IlGo+nr6/v6+jo6Otra2jKZTAQCYWxsbGho6OPjA/78xKu64uPjjYyMWCwWEokMDw8HAKC4uNjExORtuAjxHPSR097erqamVl1drampCQAAi8XS1NQUIZQLCwv/93//l5iYmJWVBUrmHhbW0tIS4RfD0NAQHA43MDBQUVFZWFiwtbUFXZMkJCSI8J0LiTOJRHr69GllZeXq6qqCggJ4wuHZs2fgCwWyyEEfLi4uqqmptba2uri4xMfHIxCI1NRUAAAyMjJsbGwOKm2f/ODB6sbGRh0dnZycHF9f38TERAAAsrOzrays9il40D/5+/vLyso+evQoKSmpv78fPC20tbWlpqYmJhtUrtpQVlbu7OxMTEx0cHAAACA2NtbOzu6g7d8/f0BAQGBgoJmZ2ezsLBwOX19fZzAYcnJy4Lx+/7IC/nVjY+PBgweOjo4YDGZqaopGo8nKyq6uroKzT5FYbIItSU5OtrGxmZmZMTIyIhKJQUFBAQEBAAD4+vqi0WgBW3vQbNzBqqio0NTUBCeFs7Oz4JS3v7//oAL3yd/Z2YlEIm1tbUtKSqKiory8vAAAwGKxHh4e+5Q66J8iIiIePHiAQqHA9xIOhwPlh4SEuLm5HVTa2/KTyWQtLa26urrc3Fw7O7v5+XkYDEan08lkspycHNdBGgAAn71NxGGeZ2dnGxkZgW/A0NBQMX11BQQEaGlpKSoqfv/99wEBARoaGpubmyL/3ZNIpKtXr4K7JvLy8m1tbUpKSuL46nJwcIiMjAQAAIFAxMTE4PF4HA4HAAAGgxHrV9fa2pqxsXFeXh4AABQKRVZWFvx9KCgoiPCra2RkRElJycTE5Pjx43Jycm5ubuD6pMi/upBIJPhCj4qKQqPRcXFx4vjqGh0dlZOTAz/K5eTkuru7FRQUxP3VBVIyLS1NT0+PyWSKb1KYnJzs7u7e09OjpaVVX18PamUxTQqjoqKSkpJ0dHS6urrU1NTAPop2UggOlq6u7tOnT5eWliQ5KVxbW1NTUyspKQEnheBCqK6urggnhcvLyzo6Oh0dHQgEIjk52dPTU0yTQmtr63PnzlVWVmpqaubn5/v4+IhpUhgQEPDw4cN79+6lpKQMDAyAnwq8k0JxfXXl5uZ+8cUXWCw2KyuLRCKB35UYDAYGg+09F30YBQkAAJvN7ujokJOTYzAYSCTSzMzM1tbW3t5ehKsNLBbL09PTwsICgUBYW1szGAwvLy9TU1OwIhF++MfFxSkrK8fHxysoKNTU1ICbNP7+/uCb8ZBAva04k8m8deuWjIxMfn4+SCdwrwvcuRH53gaLxTI3N09MTBwZGZGVlQV7J8ItKAAAenp65OXlg4ODnz592tjYODY2JisrC/78Wlpa3obDQZ+vrKwoKSkFBgZ6enqCszQnJycrKysLCwt3d3fujPugYt+Zv7Cw8NmzZ+BOAw6HA9dak5OTra2t31lW8Ax+fn5qamrgp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-<p><strong>G. In which plots are $X$ and $Y$ independent?</strong> <em>(you may select more tha one, or none)</em></p>
-<ul>
-<li>Plot a</li>
-<li>Plot b</li>
-<li>Plot c</li>
-<li>Plot d</li>
-</ul>
-</div>
-</div>
-</div>
-</div>
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-<p><strong>Model answer</strong></p>
-<ul>
-<li>Plot a</li>
-<li>Plot d</li>
-</ul>
-</div>
-</div>
-</div>
-</div>
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-<p><strong>H. In which plots do $X$ and $Y$ follow a multivariate Gaussian distribution?</strong> <em>(you may select more than one, or none)</em></p>
-<ul>
-<li>Plot a</li>
-<li>Plot b</li>
-<li>Plot c</li>
-<li>Plot d</li>
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-<p><strong>Model ansewr</strong></p>
-<ul>
-<li>Plot a</li>
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-<hr/>
-</div>
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-</div>
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-</body>
-</html>
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+.highlight .dl { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Delimiter */
+.highlight .sd { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Doc */
+.highlight .s2 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Double */
+.highlight .se { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Escape */
+.highlight .sh { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Heredoc */
+.highlight .si { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Interpol */
+.highlight .sx { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Other */
+.highlight .sr { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Regex */
+.highlight .s1 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Single */
+.highlight .ss { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Symbol */
+.highlight .il { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer.Long */
+ </style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+ * Mozilla scrollbar styling
+ */
+
+/* use standard opaque scrollbars for most nodes */
+[data-jp-theme-scrollbars='true'] {
+ scrollbar-color: rgb(var(--jp-scrollbar-thumb-color))
+ var(--jp-scrollbar-background-color);
+}
+
+/* for code nodes, use a transparent style of scrollbar. These selectors
+ * will match lower in the tree, and so will override the above */
+[data-jp-theme-scrollbars='true'] .CodeMirror-hscrollbar,
+[data-jp-theme-scrollbars='true'] .CodeMirror-vscrollbar {
+ scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
+}
+
+/* tiny scrollbar */
+
+.jp-scrollbar-tiny {
+ scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
+ scrollbar-width: thin;
+}
+
+/* tiny scrollbar */
+
+.jp-scrollbar-tiny::-webkit-scrollbar,
+.jp-scrollbar-tiny::-webkit-scrollbar-corner {
+ background-color: transparent;
+ height: 4px;
+ width: 4px;
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-thumb {
+ background: rgba(var(--jp-scrollbar-thumb-color), 0.5);
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-track:horizontal {
+ border-left: 0 solid transparent;
+ border-right: 0 solid transparent;
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-track:vertical {
+ border-top: 0 solid transparent;
+ border-bottom: 0 solid transparent;
+}
+
+/*
+ * Lumino
+ */
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+ min-height: 16px;
+ max-height: 16px;
+ min-width: 45px;
+ border-top: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+ min-width: 16px;
+ max-width: 16px;
+ min-height: 45px;
+ border-left: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar-button {
+ background-color: #f0f0f0;
+ background-position: center center;
+ min-height: 15px;
+ max-height: 15px;
+ min-width: 15px;
+ max-width: 15px;
+}
+
+.lm-ScrollBar-button:hover {
+ background-color: #dadada;
+}
+
+.lm-ScrollBar-button.lm-mod-active {
+ background-color: #cdcdcd;
+}
+
+.lm-ScrollBar-track {
+ background: #f0f0f0;
+}
+
+.lm-ScrollBar-thumb {
+ background: #cdcdcd;
+}
+
+.lm-ScrollBar-thumb:hover {
+ background: #bababa;
+}
+
+.lm-ScrollBar-thumb.lm-mod-active {
+ background: #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] .lm-ScrollBar-thumb {
+ height: 100%;
+ min-width: 15px;
+ border-left: 1px solid #a0a0a0;
+ border-right: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] .lm-ScrollBar-thumb {
+ width: 100%;
+ min-height: 15px;
+ border-top: 1px solid #a0a0a0;
+ border-bottom: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+ .lm-ScrollBar-button[data-action='decrement'] {
+ background-image: var(--jp-icon-caret-left);
+ background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+ .lm-ScrollBar-button[data-action='increment'] {
+ background-image: var(--jp-icon-caret-right);
+ background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+ .lm-ScrollBar-button[data-action='decrement'] {
+ background-image: var(--jp-icon-caret-up);
+ background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+ .lm-ScrollBar-button[data-action='increment'] {
+ background-image: var(--jp-icon-caret-down);
+ background-size: 17px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Widget {
+ box-sizing: border-box;
+ position: relative;
+ overflow: hidden;
+}
+
+.lm-Widget.lm-mod-hidden {
+ display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .lm-AccordionPanel-title {
+ /* Title is rotated for horizontal accordion panel using CSS */
+ display: block;
+ transform-origin: top left;
+ transform: rotate(-90deg) translate(-100%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+ display: flex;
+ flex-direction: column;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.lm-CommandPalette-search {
+ flex: 0 0 auto;
+}
+
+.lm-CommandPalette-content {
+ flex: 1 1 auto;
+ margin: 0;
+ padding: 0;
+ min-height: 0;
+ overflow: auto;
+ list-style-type: none;
+}
+
+.lm-CommandPalette-header {
+ overflow: hidden;
+ white-space: nowrap;
+ text-overflow: ellipsis;
+}
+
+.lm-CommandPalette-item {
+ display: flex;
+ flex-direction: row;
+}
+
+.lm-CommandPalette-itemIcon {
+ flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemContent {
+ flex: 1 1 auto;
+ overflow: hidden;
+}
+
+.lm-CommandPalette-itemShortcut {
+ flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemLabel {
+ overflow: hidden;
+ white-space: nowrap;
+ text-overflow: ellipsis;
+}
+
+.lm-close-icon {
+ border: 1px solid transparent;
+ background-color: transparent;
+ position: absolute;
+ z-index: 1;
+ right: 3%;
+ top: 0;
+ bottom: 0;
+ margin: auto;
+ padding: 7px 0;
+ display: none;
+ vertical-align: middle;
+ outline: 0;
+ cursor: pointer;
+}
+.lm-close-icon:after {
+ content: 'X';
+ display: block;
+ width: 15px;
+ height: 15px;
+ text-align: center;
+ color: #000;
+ font-weight: normal;
+ font-size: 12px;
+ cursor: pointer;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-DockPanel {
+ z-index: 0;
+}
+
+.lm-DockPanel-widget {
+ z-index: 0;
+}
+
+.lm-DockPanel-tabBar {
+ z-index: 1;
+}
+
+.lm-DockPanel-handle {
+ z-index: 2;
+}
+
+.lm-DockPanel-handle.lm-mod-hidden {
+ display: none !important;
+}
+
+.lm-DockPanel-handle:after {
+ position: absolute;
+ top: 0;
+ left: 0;
+ width: 100%;
+ height: 100%;
+ content: '';
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal'] {
+ cursor: ew-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='vertical'] {
+ cursor: ns-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal']:after {
+ left: 50%;
+ min-width: 8px;
+ transform: translateX(-50%);
+}
+
+.lm-DockPanel-handle[data-orientation='vertical']:after {
+ top: 50%;
+ min-height: 8px;
+ transform: translateY(-50%);
+}
+
+.lm-DockPanel-overlay {
+ z-index: 3;
+ box-sizing: border-box;
+ pointer-events: none;
+}
+
+.lm-DockPanel-overlay.lm-mod-hidden {
+ display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Menu {
+ z-index: 10000;
+ position: absolute;
+ white-space: nowrap;
+ overflow-x: hidden;
+ overflow-y: auto;
+ outline: none;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.lm-Menu-content {
+ margin: 0;
+ padding: 0;
+ display: table;
+ list-style-type: none;
+}
+
+.lm-Menu-item {
+ display: table-row;
+}
+
+.lm-Menu-item.lm-mod-hidden,
+.lm-Menu-item.lm-mod-collapsed {
+ display: none !important;
+}
+
+.lm-Menu-itemIcon,
+.lm-Menu-itemSubmenuIcon {
+ display: table-cell;
+ text-align: center;
+}
+
+.lm-Menu-itemLabel {
+ display: table-cell;
+ text-align: left;
+}
+
+.lm-Menu-itemShortcut {
+ display: table-cell;
+ text-align: right;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-MenuBar {
+ outline: none;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.lm-MenuBar-content {
+ margin: 0;
+ padding: 0;
+ display: flex;
+ flex-direction: row;
+ list-style-type: none;
+}
+
+.lm-MenuBar-item {
+ box-sizing: border-box;
+}
+
+.lm-MenuBar-itemIcon,
+.lm-MenuBar-itemLabel {
+ display: inline-block;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-ScrollBar {
+ display: flex;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+ flex-direction: row;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+ flex-direction: column;
+}
+
+.lm-ScrollBar-button {
+ box-sizing: border-box;
+ flex: 0 0 auto;
+}
+
+.lm-ScrollBar-track {
+ box-sizing: border-box;
+ position: relative;
+ overflow: hidden;
+ flex: 1 1 auto;
+}
+
+.lm-ScrollBar-thumb {
+ box-sizing: border-box;
+ position: absolute;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-SplitPanel-child {
+ z-index: 0;
+}
+
+.lm-SplitPanel-handle {
+ z-index: 1;
+}
+
+.lm-SplitPanel-handle.lm-mod-hidden {
+ display: none !important;
+}
+
+.lm-SplitPanel-handle:after {
+ position: absolute;
+ top: 0;
+ left: 0;
+ width: 100%;
+ height: 100%;
+ content: '';
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+ cursor: ew-resize;
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+ cursor: ns-resize;
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+ left: 50%;
+ min-width: 8px;
+ transform: translateX(-50%);
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+ top: 50%;
+ min-height: 8px;
+ transform: translateY(-50%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar {
+ display: flex;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] {
+ flex-direction: row;
+ align-items: flex-end;
+}
+
+.lm-TabBar[data-orientation='vertical'] {
+ flex-direction: column;
+ align-items: flex-end;
+}
+
+.lm-TabBar-content {
+ margin: 0;
+ padding: 0;
+ display: flex;
+ flex: 1 1 auto;
+ list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+ flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+ flex-direction: column;
+}
+
+.lm-TabBar-tab {
+ display: flex;
+ flex-direction: row;
+ box-sizing: border-box;
+ overflow: hidden;
+ touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+ flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+ flex: 1 1 auto;
+ overflow: hidden;
+ white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+ user-select: all;
+ width: 100%;
+ box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+ display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+ display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+ position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+ left: 0;
+ transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+ top: 0;
+ transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+ transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+ user-select: all;
+ width: 100%;
+ box-sizing: border-box;
+ background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+ z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+ z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+ display: flex;
+ flex-direction: column;
+ align-items: stretch;
+}
+
+.jp-Collapse-header {
+ padding: 1px 12px;
+ background-color: var(--jp-layout-color1);
+ border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+ color: var(--jp-ui-font-color1);
+ cursor: pointer;
+ display: flex;
+ align-items: center;
+ font-size: var(--jp-ui-font-size0);
+ font-weight: 600;
+ text-transform: uppercase;
+ user-select: none;
+}
+
+.jp-Collapser-icon {
+ height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+ transform: rotate(-90deg);
+ margin: auto 0;
+}
+
+.jp-Collapser-title {
+ line-height: 25px;
+}
+
+.jp-Collapse-contents {
+ padding: 0 12px;
+ background-color: var(--jp-layout-color1);
+ color: var(--jp-ui-font-color1);
+ overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+ --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+ --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+ --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-bell: url(data:image/svg+xml;base64,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);
+ --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+ --jp-icon-bug: url(data:image/svg+xml;base64,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);
+ --jp-icon-build: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE0LjkgMTcuNDVDMTYuMjUgMTcuNDUgMTcuMzUgMTYuMzUgMTcuMzUgMTVDMTcuMzUgMTMuNjUgMTYuMjUgMTIuNTUgMTQuOSAxMi41NUMxMy41NCAxMi41NSAxMi40NSAxMy42NSAxMi40NSAxNUMxMi40NSAxNi4zNSAxMy41NCAxNy40NSAxNC45IDE3LjQ1Wk0yMC4xIDE1LjY4TDIxLjU4IDE2Ljg0QzIxLjcxIDE2Ljk1IDIxLjc1IDE3LjEzIDIxLjY2IDE3LjI5TDIwLjI2IDE5LjcxQzIwLjE3IDE5Ljg2IDIwIDE5LjkyIDE5LjgzIDE5Ljg2TDE4LjA5IDE5LjE2QzE3LjczIDE5LjQ0IDE3LjMzIDE5LjY3IDE2LjkxIDE5Ljg1TDE2LjY0IDIxLjdDMTYuNjIgMjEuODcgMTYuNDcgMjIgMTYuMyAyMkgxMy41QzEzLjMyIDIyIDEzLjE4IDIxLjg3IDEzLjE1IDIxLjdMMTIuODkgMTkuODVDMTIuNDYgMTkuNjcgMTIuMDcgMTkuNDQgMTEuNzEgMTkuMTZMOS45NjAwMiAxOS44NkM5LjgxMDAyIDE5LjkyIDkuNjIwMDIgMTkuODYgOS41NDAwMiAxOS43MUw4LjE0MDAyIDE3LjI5QzguMDUwMDIgMTcuMTMgOC4wOTAwMiAxNi45NSA4LjIyMDAyIDE2Ljg0TDkuNzAwMDIgMTUuNjhMOS42NTAwMSAxNUw5LjcwMDAyIDE0LjMxTDguMjIwMDIgMTMuMTZDOC4wOTAwMiAxMy4wNSA4LjA1MDAyIDEyLjg2IDguMTQwMDIgMTIuNzFMOS41NDAwMiAxMC4yOUM5LjYyMDAyIDEwLjEzIDkuODEwMDIgMTAuMDcgOS45NjAwMiAxMC4xM0wxMS43MSAxMC44NEMxMi4wNyAxMC41NiAxMi40NiAxMC4zMiAxMi44OSAxMC4xNUwxMy4xNSA4LjI4OTk4QzEzLjE4IDguMTI5OTggMTMuMzIgNy45OTk5OCAxMy41IDcuOTk5OThIMTYuM0MxNi40NyA3Ljk5OTk4IDE2LjYyIDguMTI5OTggMTYuNjQgOC4yODk5OEwxNi45MSAxMC4xNUMxNy4zMyAxMC4zMiAxNy43MyAxMC41NiAxOC4wOSAxMC44NEwxOS44MyAxMC4xM0MyMCAxMC4wNyAyMC4xNyAxMC4xMyAyMC4yNiAxMC4yOUwyMS42NiAxMi43MUMyMS43NSAxMi44NiAyMS43MSAxMy4wNSAyMS41OCAxMy4xNkwyMC4xIDE0LjMxTDIwLjE1IDE1TDIwLjEgMTUuNjhaIi8+CiAgICA8cGF0aCBkPSJNNy4zMjk2NiA3LjQ0NDU0QzguMDgzMSA3LjAwOTU0IDguMzM5MzIgNi4wNTMzMiA3LjkwNDMyIDUuMjk5ODhDNy40NjkzMiA0LjU0NjQzIDYuNTA4MSA0LjI4MTU2IDUuNzU0NjYgNC43MTY1NkM1LjM5MTc2IDQuOTI2MDggNS4xMjY5NSA1LjI3MTE4IDUuMDE4NDkgNS42NzU5NEM0LjkxMDA0IDYuMDgwNzEgNC45NjY4MiA2LjUxMTk4IDUuMTc2MzQgNi44NzQ4OEM1LjYxMTM0IDcuNjI4MzIgNi41NzYyMiA3Ljg3OTU0IDcuMzI5NjYgNy40NDQ1NFpNOS42NTcxOCA0Ljc5NTkzTDEwLjg2NzIgNC45NTE3OUMxMC45NjI4IDQuOTc3NDEgMTEuMDQwMiA1LjA3MTMzIDExLjAzODIgNS4xODc5M0wxMS4wMzg4IDYuOTg4OTNDMTEuMDQ1NSA3LjEwMDU0IDEwLjk2MTYgNy4xOTUxOCAxMC44NTUgNy4yMTA1NEw5LjY2MDAxIDcuMzgwODNMOS4yMzkxNSA4LjEzMTg4TDkuNjY5NjEgOS4yNTc0NUM5LjcwNzI5IDkuMzYyNzEgOS42NjkzNCA5LjQ3Njk5IDkuNTc0MDggOS41MzE5OUw4LjAxNTIzIDEwLjQzMkM3LjkxMTMxIDEwLjQ5MiA3Ljc5MzM3IDEwLjQ2NzcgNy43MjEwNSAxMC4zODI0TDYuOTg3NDggOS40MzE4OEw2LjEwOTMxIDkuNDMwODNMNS4zNDcwNCAxMC4zOTA1QzUuMjg5MDkgMTAuNDcwMiA1LjE3MzgzIDEwLjQ5MDUgNS4wNzE4NyAxMC40MzM5TDMuNTEyNDUgOS41MzI5M0MzLjQxMDQ5IDkuNDc2MzMgMy4zNzY0NyA5LjM1NzQxIDMuNDEwNzUgOS4yNTY3OUwzLjg2MzQ3IDguMTQwOTNMMy42MTc0OSA3Ljc3NDg4TDMuNDIzNDcgNy4zNzg4M0wyLjIzMDc1IDcuMjEyOTdDMi4xMjY0NyA3LjE5MjM1IDIuMDQwNDkgNy4xMDM0MiAyLjA0MjQ1IDYuOTg2ODJMMi4wNDE4NyA1LjE4NTgyQzIuMDQzODMgNS4wNjkyMiAyLjExOTA5IDQuOTc5NTggMi4yMTcwNCA0Ljk2OTIyTDMuNDIwNjUgNC43OTM5M0wzLjg2NzQ5IDQuMDI3ODhMMy40MTEwNSAyLjkxNzMxQzMuMzczMzcgMi44MTIwNCAzLjQxMTMxIDIuNjk3NzYgMy41MTUyMyAyLjYzNzc2TDUuMDc0MDggMS43Mzc3NkM1LjE2OTM0IDEuNjgyNzYgNS4yODcyOSAxLjcwNzA0IDUuMzU5NjEgMS43OTIzMUw2LjExOTE1IDIuNzI3ODhMNi45ODAwMSAyLjczODkzTDcuNzI0OTYgMS43ODkyMkM3Ljc5MTU2IDEuNzA0NTggNy45MTU0OCAxLjY3OTIyIDguMDA4NzkgMS43NDA4Mkw5LjU2ODIxIDIuNjQxODJDOS42NzAxNyAyLjY5ODQyIDkuNzEyODUgMi44MTIzNCA5LjY4NzIzIDIuOTA3OTdMOS4yMTcxOCA0LjAzMzgzTDkuNDYzMTYgNC4zOTk4OEw5LjY1NzE4IDQuNzk1OTNaIi8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+ --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
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+ --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-clear: url(data:image/svg+xml;base64,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);
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+ --jp-icon-code-check: url(data:image/svg+xml;base64,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);
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+ --jp-icon-collapse-all: url(data:image/svg+xml;base64,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);
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+ --jp-icon-copyright: url(data:image/svg+xml;base64,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);
+ --jp-icon-cut: url(data:image/svg+xml;base64,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);
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+ --jp-icon-filter: url(data:image/svg+xml;base64,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);
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+ --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
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+ --jp-icon-image: url(data:image/svg+xml;base64,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);
+ --jp-icon-info: url(data:image/svg+xml;base64,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);
+ --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
+ --jp-icon-json: url(data:image/svg+xml;base64,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);
+ --jp-icon-julia: url(data:image/svg+xml;base64,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);
+ --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
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+ --jp-icon-jupyterlab-wordmark: 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+ --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+ --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+ --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+ --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+ --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+ --jp-icon-markdown: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDAganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjN0IxRkEyIiBkPSJNNSAxNC45aDEybC02LjEgNnptOS40LTYuOGMwLTEuMy0uMS0yLjktLjEtNC41LS40IDEuNC0uOSAyLjktMS4zIDQuM2wtMS4zIDQuM2gtMkw4LjUgNy45Yy0uNC0xLjMtLjctMi45LTEtNC4zLS4xIDEuNi0uMSAzLjItLjIgNC42TDcgMTIuNEg0LjhsLjctMTFoMy4zTDEwIDVjLjQgMS4yLjcgMi43IDEgMy45LjMtMS4yLjctMi42IDEtMy45bDEuMi0zLjdoMy4zbC42IDExaC0yLjRsLS4zLTQuMnoiLz4KPC9zdmc+Cg==);
+ --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+ --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+ --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+ --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+ --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-palette: url(data:image/svg+xml;base64,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);
+ --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+ --jp-icon-python: url(data:image/svg+xml;base64,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);
+ --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+ --jp-icon-react: url(data:image/svg+xml;base64,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);
+ --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-regex: url(data:image/svg+xml;base64,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);
+ --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-search: url(data:image/svg+xml;base64,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);
+ --jp-icon-settings: url(data:image/svg+xml;base64,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);
+ --jp-icon-share: url(data:image/svg+xml;base64,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);
+ --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+ --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-tag: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjgiIGhlaWdodD0iMjgiIHZpZXdCb3g9IjAgMCA0MyAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTI4LjgzMzIgMTIuMzM0TDMyLjk5OTggMTYuNTAwN0wzNy4xNjY1IDEyLjMzNEgyOC44MzMyWiIvPgoJCTxwYXRoIGQ9Ik0xNi4yMDk1IDIxLjYxMDRDMTUuNjg3MyAyMi4xMjk5IDE0Ljg0NDMgMjIuMTI5OSAxNC4zMjQ4IDIxLjYxMDRMNi45ODI5IDE0LjcyNDVDNi41NzI0IDE0LjMzOTQgNi4wODMxMyAxMy42MDk4IDYuMDQ3ODYgMTMuMDQ4MkM1Ljk1MzQ3IDExLjUyODggNi4wMjAwMiA4LjYxOTQ0IDYuMDY2MjEgNy4wNzY5NUM2LjA4MjgxIDYuNTE0NzcgNi41NTU0OCA2LjA0MzQ3IDcuMTE4MDQgNi4wMzA1NUM5LjA4ODYzIDUuOTg0NzMgMTMuMjYzOCA1LjkzNTc5IDEzLjY1MTggNi4zMjQyNUwyMS43MzY5IDEzLjYzOUMyMi4yNTYgMTQuMTU4NSAyMS43ODUxIDE1LjQ3MjQgMjEuMjYyIDE1Ljk5NDZMMTYuMjA5NSAyMS42MTA0Wk05Ljc3NTg1IDguMjY1QzkuMzM1NTEgNy44MjU2NiA4LjYyMzUxIDcuODI1NjYgOC4xODI4IDguMjY1QzcuNzQzNDYgOC43MDU3MSA3Ljc0MzQ2IDkuNDE3MzMgOC4xODI4IDkuODU2NjdDOC42MjM4MiAxMC4yOTY0IDkuMzM1ODIgMTAuMjk2NCA5Ljc3NTg1IDkuODU2NjdDMTAuMjE1NiA5LjQxNzMzIDEwLjIxNTYgOC43MDUzMyA5Ljc3NTg1IDguMjY1WiIvPgoJPC9nPgo8L3N2Zz4K);
+ --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+ --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+ --jp-icon-toc: url(data:image/svg+xml;base64,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);
+ --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+ --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-users: url(data:image/svg+xml;base64,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);
+ --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-word: url(data:image/svg+xml;base64,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);
+ --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+ background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+ background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+ background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+ background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+ background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+ background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+ background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+ background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+ background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+ background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+ background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+ background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+ background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+ background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+ background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+ background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+ background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+ background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+ background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+ background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+ background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+ background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+ background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+ background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+ background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+ background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+ background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+ background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+ background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+ background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+ background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+ background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+ background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+ background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+ background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+ background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+ background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+ background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+ background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+ background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+ background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+ background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+ background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+ background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+ background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+ background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+ background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+ background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+ background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+ background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+ background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+ background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+ background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+ background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+ background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+ background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+ background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+ background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+ background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+ background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+ background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+ background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+ background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+ background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+ background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+ background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+ background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+ background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+ background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+ background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+ background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+ background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+ background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+ background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+ background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+ background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+ background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+ background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+ background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+ background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+ background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+ background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+ background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+ background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+ background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+ background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+ background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+ background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+ background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+ background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+ background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+ background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+ background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+ background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+ background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+ background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+ background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+ background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+ background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+ background-position: center;
+ background-repeat: no-repeat;
+ background-size: 16px;
+ min-width: 16px;
+ min-height: 16px;
+}
+
+.jp-Icon-cover {
+ background-position: center;
+ background-repeat: no-repeat;
+ background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+ background-size: 16px;
+ min-width: 16px;
+ min-height: 16px;
+}
+
+.jp-Icon-18 {
+ background-size: 18px;
+ min-width: 18px;
+ min-height: 18px;
+}
+
+.jp-Icon-20 {
+ background-size: 20px;
+ min-width: 20px;
+ min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+ align-items: center;
+ display: flex;
+ padding: 4px;
+ padding-bottom: 5px;
+ margin-right: 1px;
+ background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+ background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+ width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+ flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+ flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+ fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+ fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+ fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+ fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+ stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+ stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+ stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+ stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+ stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+ fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+ fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+ fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+ fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+ stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+ stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+ stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+ stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+ stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+ fill: none;
+}
+
+.jp-icon-none[stroke] {
+ stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+ fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+ fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+ fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+ fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+ fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+ stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+ stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+ stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+ stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+ stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+ fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+ fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+ fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+ fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+ stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+ stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+ stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+ stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+ fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+ fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+ fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+ fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+ stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+ stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+ stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+ stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+ fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+ fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+ fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+ fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+ fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+ fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+ fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+ fill: var(
+ --jp-terminal-icon-background-color,
+ var(--jp-inverse-layout-color2)
+ );
+}
+
+.jp-text-editor-icon-color[fill] {
+ fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+ fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+ fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+ fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+* of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+ .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+ > .lm-TabBar-tabCloseIcon
+ > :not(:hover)
+ > .jp-icon3[fill] {
+ fill: none;
+}
+
+.lm-DockPanel-tabBar
+ .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+ > .lm-TabBar-tabCloseIcon
+ > :not(:hover)
+ > .jp-icon-busy[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+ fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+ fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+ splash, the splash icon can loose theming. To prevent that, we set a
+ default for its color variable */
+:root {
+ --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+ margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+ fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+ fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+ fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+ fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+ stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+ stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+ stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+ stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+ stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+ fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+ fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+ fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+ fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+ stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+ stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+ stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+ stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+ stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+ display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+ fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+ fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+ fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+ fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+ fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+ fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+ fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+ fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+ stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+ stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+ stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+ stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+ stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+ fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+ stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+ fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+ fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+ fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+ fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+ stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+ stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+ stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+ stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+ stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+ fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+ fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+ fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+ fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+ width: 100%;
+ height: 100%;
+}
+
+.jp-IFrame > iframe {
+ border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+ position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+ content: '';
+ position: absolute;
+ top: 0;
+ left: 0;
+ right: 0;
+ bottom: 0;
+ background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+ position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+ border: none;
+ padding: 0;
+ min-width: 0;
+ width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+ font-size: var(--jp-content-font-size2);
+ border-color: var(--jp-input-border-color);
+ border-style: solid;
+ border-radius: var(--jp-border-radius);
+ border-width: 1px;
+ padding: 6px 8px;
+ background: none;
+ color: var(--jp-ui-font-color0);
+ height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+ position: relative;
+ top: 2px;
+ margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+ cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+ cursor: pointer;
+ font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+ display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+ display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+ -moz-outline-radius: unset;
+ outline: var(--jp-border-width) solid var(--md-blue-500);
+ outline-offset: -1px;
+ box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+ background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+ /* Disable default description field for checkbox:
+ because other widgets do not have description fields,
+ we add descriptions to each widget on the field level.
+ */
+ display: none;
+}
+
+.jp-FormGroup-content #root__description {
+ display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+ width: 5px;
+ background-color: var(--jp-brand-color2);
+ margin-top: 0;
+ margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+ flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+ background-color: var(--jp-error-color0);
+ margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+ font-size: var(--jp-content-font-size2);
+ color: var(--jp-ui-font-color0);
+ flex-basis: 100%;
+ padding: 4px 0;
+ font-weight: var(--jp-content-heading-font-weight);
+ border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+ padding: 4px 0;
+ white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+ width: 100%;
+ border: 1px solid var(--jp-border-color2);
+ border-radius: 4px;
+ margin: 4px;
+}
+
+.jp-ArrayOperations {
+ display: flex;
+ margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+ margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+ fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+ cursor: not-allowed;
+ opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+ color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+ display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+ display: flex;
+ align-items: center;
+ flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+ margin-left: 7px;
+ color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+ flex-basis: 100%;
+ padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+ flex-basis: 100%;
+ padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+ font-size: var(--jp-content-font-size1);
+ font-weight: normal;
+ min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+ margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+ /* Display `jp-ArrayOperations` buttons side-by-side with content except
+ for small screens where flex-wrap will place them one below the other.
+ */
+ display: flex;
+ align-items: center;
+ flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+ padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+ margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+ width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+ display: flex;
+ padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+ .jp-FormGroup-compactTitle
+ .jp-FormGroup-description {
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+ padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+ width: 100%;
+ box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+ padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+ .jp-objectFieldWrapper
+ .jp-objectFieldWrapper
+ .form-group {
+ padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+ margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+ margin-block-start: 0.5em;
+ margin-block-end: 0.5em;
+ padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+ display: flex;
+ flex-direction: column;
+ min-width: var(--jp-sidebar-min-width);
+ overflow-y: auto;
+ color: var(--jp-ui-font-color1);
+ background: var(--jp-layout-color1);
+ font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+ flex: 0 0 auto;
+ display: flex;
+ border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+ font-size: var(--jp-ui-font-size0);
+ font-weight: 600;
+ letter-spacing: 1px;
+ margin: 0;
+ padding: 2px;
+ text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+ flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+ flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+ height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+ display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+ box-sizing: border-box;
+ line-height: 25px;
+ margin: 0;
+ display: flex;
+ align-items: center;
+ background: var(--jp-layout-color1);
+ color: var(--jp-ui-font-color1);
+ border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+ cursor: pointer;
+ user-select: none;
+ -moz-user-select: none;
+ -webkit-user-select: none;
+ text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+ /* Title is rotated for horizontal accordion panel using CSS */
+ display: block;
+ transform-origin: top left;
+ transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+ user-select: none;
+ text-overflow: ellipsis;
+ white-space: nowrap;
+ overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+ transform: rotate(-90deg);
+ margin: auto 0;
+ height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+ transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+ background: none;
+ box-shadow: none;
+ border: none;
+ margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+ background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+ overflow: hidden;
+ text-overflow: ellipsis;
+ white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+ position: absolute;
+ display: flex;
+ justify-content: center;
+ align-items: center;
+ z-index: 10;
+ left: 0;
+ top: 0;
+ width: 100%;
+ height: 100%;
+ background: var(--jp-layout-color0);
+ outline: none;
+}
+
+.jp-SpinnerContent {
+ font-size: 10px;
+ margin: 50px auto;
+ text-indent: -9999em;
+ width: 3em;
+ height: 3em;
+ border-radius: 50%;
+ background: var(--jp-brand-color3);
+ background: linear-gradient(
+ to right,
+ #f37626 10%,
+ rgba(255, 255, 255, 0) 42%
+ );
+ position: relative;
+ animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+ width: 50%;
+ height: 50%;
+ background: #f37626;
+ border-radius: 100% 0 0;
+ position: absolute;
+ top: 0;
+ left: 0;
+ content: '';
+}
+
+.jp-SpinnerContent::after {
+ background: var(--jp-layout-color0);
+ width: 75%;
+ height: 75%;
+ border-radius: 50%;
+ content: '';
+ margin: auto;
+ position: absolute;
+ top: 0;
+ left: 0;
+ bottom: 0;
+ right: 0;
+}
+
+@keyframes fadeIn {
+ 0% {
+ opacity: 0;
+ }
+
+ 100% {
+ opacity: 1;
+ }
+}
+
+@keyframes load3 {
+ 0% {
+ transform: rotate(0deg);
+ }
+
+ 100% {
+ transform: rotate(360deg);
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color0);
+ border: none;
+ box-sizing: border-box;
+ text-align: center;
+ line-height: 32px;
+ height: 32px;
+ padding: 0 12px;
+ letter-spacing: 0.8px;
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+ background: var(--jp-input-background);
+ height: 28px;
+ box-sizing: border-box;
+ border: var(--jp-border-width) solid var(--jp-border-color1);
+ padding-left: 7px;
+ padding-right: 7px;
+ font-size: var(--jp-ui-font-size2);
+ color: var(--jp-ui-font-color0);
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+ appearance: checkbox;
+ -webkit-appearance: checkbox;
+ -moz-appearance: checkbox;
+ height: auto;
+}
+
+input.jp-mod-styled:focus {
+ border: var(--jp-border-width) solid var(--md-blue-500);
+ box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+ display: flex;
+ position: relative;
+ flex-direction: column;
+ padding: 1px;
+ background-color: var(--jp-layout-color1);
+ box-sizing: border-box;
+ margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+ height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+ border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+ box-shadow: var(--jp-input-box-shadow);
+ background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+ cursor: pointer;
+ color: var(--jp-ui-font-color0);
+ background-color: var(--jp-input-hover-background);
+ box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+ flex: 1 1 auto;
+ width: 100%;
+ font-size: var(--jp-ui-font-size2);
+ background: var(--jp-input-background);
+ color: var(--jp-ui-font-color0);
+ padding: 0 25px 0 8px;
+ border: var(--jp-border-width) solid var(--jp-input-border-color);
+ border-radius: 0;
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+ height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+ max-height: 200px;
+ overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+ display: flex;
+ align-items: center;
+ padding-left: 4px;
+ padding-right: 4px;
+ font-size: var(--jp-ui-font-size1);
+ background-color: transparent;
+ color: var(--jp-ui-font-color1);
+ border: none;
+ height: 20px;
+}
+
+.jp-switch:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+ margin-right: 5px;
+ font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+ cursor: pointer;
+ background-color: var(--jp-switch-color, var(--jp-border-color1));
+ -webkit-transition: 0.4s;
+ transition: 0.4s;
+ border-radius: 34px;
+ height: 16px;
+ width: 35px;
+ position: relative;
+}
+
+.jp-switch-track::before {
+ content: '';
+ position: absolute;
+ height: 10px;
+ width: 10px;
+ margin: 3px;
+ left: 0;
+ background-color: var(--jp-ui-inverse-font-color1);
+ -webkit-transition: 0.4s;
+ transition: 0.4s;
+ border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+ background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+ /* track width (35) - margins (3 + 3) - thumb width (10) */
+ left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-toolbar-height: calc(
+ 28px + var(--jp-border-width)
+ ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+ color: var(--jp-ui-font-color1);
+ flex: 0 0 auto;
+ display: flex;
+ flex-direction: row;
+ border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ background: var(--jp-toolbar-background);
+ min-height: var(--jp-toolbar-micro-height);
+ padding: 2px;
+ z-index: 8;
+ overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+ flex-grow: 1;
+ flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+ display: inline-block;
+ width: 32px;
+ background-repeat: no-repeat;
+ background-position: center;
+ background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+ flex: 0 0 auto;
+ display: flex;
+ padding-left: 1px;
+ padding-right: 1px;
+ font-size: var(--jp-ui-font-size1);
+ line-height: var(--jp-private-toolbar-height);
+ height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+ color: transparent;
+ border: none;
+ box-sizing: border-box;
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+ padding: 0;
+ margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+ background: var(--jp-layout-color1);
+ border: none;
+ box-sizing: border-box;
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+ padding: 0 6px;
+ margin: 0;
+ height: 24px;
+ border-radius: var(--jp-border-radius);
+ display: flex;
+ align-items: center;
+ text-align: center;
+ font-size: 14px;
+ min-width: unset;
+ min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+ opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+ padding: 0;
+ flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+ font-size: var(--jp-ui-font-size1);
+ line-height: 100%;
+ padding-left: 2px;
+ color: var(--jp-ui-font-color1);
+ font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+ .jp-MainAreaWidget
+ > .jp-Toolbar.jp-Toolbar-micro {
+ padding: 0;
+ min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+ .jp-MainAreaWidget
+ > .jp-Toolbar {
+ border: none;
+ box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+ position: relative;
+ overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+ position: relative;
+}
+
+.jp-WindowedPanel-window {
+ position: absolute;
+ left: 0;
+ right: 0;
+ overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+ text-decoration: unset;
+ color: unset;
+}
+
+a:hover {
+ text-decoration: unset;
+ color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+ text-decoration: revert;
+ color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+ text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+ color: var(--jp-ui-font-color2);
+ border-radius: var(--jp-border-radius);
+ padding: 0 12px;
+ font-size: var(--jp-ui-font-size1);
+
+ /* Copy from blueprint 3 */
+ display: inline-flex;
+ flex-direction: row;
+ border: none;
+ cursor: pointer;
+ align-items: center;
+ justify-content: center;
+ text-align: left;
+ vertical-align: middle;
+ min-height: 30px;
+ min-width: 30px;
+}
+
+.jp-Button:disabled {
+ cursor: not-allowed;
+}
+
+.jp-Button:empty {
+ padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+ min-height: 24px;
+ min-width: 24px;
+ font-size: 12px;
+ padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+ background: none;
+}
+
+.jp-InputGroup {
+ display: block;
+ position: relative;
+}
+
+.jp-InputGroup input {
+ box-sizing: border-box;
+ border: none;
+ border-radius: 0;
+ background-color: transparent;
+ color: var(--jp-ui-font-color0);
+ box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+ padding-bottom: 0;
+ padding-top: 0;
+ padding-left: 10px;
+ padding-right: 28px;
+ position: relative;
+ width: 100%;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+ appearance: none;
+ font-size: 14px;
+ font-weight: 400;
+ height: 30px;
+ line-height: 30px;
+ outline: none;
+ vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+ box-shadow: inset 0 0 0 var(--jp-border-width)
+ var(--jp-input-active-box-shadow-color),
+ inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+ cursor: not-allowed;
+ resize: block;
+ background-color: var(--jp-layout-color2);
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+ cursor: not-allowed;
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+ position: absolute;
+ bottom: 1px;
+ right: 0;
+ padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+ background-color: initial;
+ border: none;
+ border-radius: 0;
+ box-shadow: none;
+ color: var(--jp-ui-font-color0);
+ display: block;
+ font-size: var(--jp-ui-font-size1);
+ font-family: var(--jp-ui-font-family);
+ height: 24px;
+ line-height: 14px;
+ padding: 0 25px 0 10px;
+ text-align: left;
+ -moz-appearance: none;
+ -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+ background-color: var(--jp-layout-color2);
+ color: var(--jp-ui-font-color2);
+ cursor: not-allowed;
+ resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+ cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+ background-color: var(--jp-layout-color2);
+ color: var(--jp-ui-font-color0);
+}
+
+select {
+ box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+ display: flex;
+ align-items: center;
+ background: var(--jp-layout-color2);
+ min-height: var(--jp-statusbar-height);
+ justify-content: space-between;
+ padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+ display: flex;
+ align-items: center;
+ flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+ display: flex;
+ align-items: center;
+}
+
+.jp-StatusBar-Right {
+ display: flex;
+ align-items: center;
+ flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+ max-height: var(--jp-statusbar-height);
+ margin: 0 2px;
+ height: var(--jp-statusbar-height);
+ white-space: nowrap;
+ text-overflow: ellipsis;
+ color: var(--jp-ui-font-color1);
+ padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+ background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+ background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+ background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+ color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+ box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+ font-size: var(--jp-ui-font-size1);
+ font-family: var(--jp-ui-font-family);
+ line-height: 24px;
+ color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+ display: flex;
+ align-items: center;
+ flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+ display: block;
+ margin: 0 auto;
+ width: 16px;
+ height: 24px;
+ align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+ height: 10px;
+ width: 100px;
+ border: solid 0.25px var(--jp-brand-color2);
+ border-radius: 3px;
+ overflow: hidden;
+ align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+ background-color: var(--jp-brand-color2);
+ background-image: linear-gradient(
+ -45deg,
+ rgba(255, 255, 255, 0.2) 25%,
+ transparent 25%,
+ transparent 50%,
+ rgba(255, 255, 255, 0.2) 50%,
+ rgba(255, 255, 255, 0.2) 75%,
+ transparent 75%,
+ transparent
+ );
+ background-size: 40px 40px;
+ float: left;
+ width: 0%;
+ height: 100%;
+ font-size: 12px;
+ line-height: 14px;
+ color: #fff;
+ text-align: center;
+ animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+ color: var(--jp-ui-font-color1);
+ font-family: var(--jp-ui-font-family);
+ font-size: var(--jp-ui-font-size1);
+ line-height: 10px;
+ width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+ 0% {
+ background-position: 0 0;
+ }
+
+ 100% {
+ background-position: 40px 40px;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+ padding-bottom: 0;
+ color: var(--jp-ui-font-color1);
+ background: var(--jp-layout-color1);
+
+ /* This is needed so that all font sizing of children done in ems is
+ * relative to this base size */
+ font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+ position: absolute;
+ z-index: 10000;
+ top: 38px;
+ left: 30%;
+ margin: 0;
+ padding: 4px;
+ width: 40%;
+ box-shadow: var(--jp-elevation-z4);
+ border-radius: 4px;
+ background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+ max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+ display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+ display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+ margin-left: 4px;
+ margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+ .lm-CommandPalette
+ .lm-CommandPalette-item.lm-mod-disabled {
+ display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+ padding: 4px;
+ background-color: var(--jp-layout-color1);
+ z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+ overflow: overlay;
+ padding: 0 9px;
+ background-color: var(--jp-input-active-background);
+ height: 30px;
+ box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+ box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+ inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+ color: white;
+ background-color: var(--jp-brand-color1);
+ position: absolute;
+ top: 4px;
+ right: 4px;
+ padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+ height: 20px;
+ width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+ background: transparent;
+ width: calc(100% - 18px);
+ float: left;
+ border: none;
+ outline: none;
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color0);
+ line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+ color: var(--jp-ui-font-color2);
+ font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+ margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+ border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+ color: var(--jp-ui-font-color1);
+ cursor: pointer;
+ display: flex;
+ font-size: var(--jp-ui-font-size0);
+ font-weight: 600;
+ letter-spacing: 1px;
+ margin-top: 8px;
+ padding: 8px 0 8px 12px;
+ text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+ background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+ background-color: transparent;
+ font-weight: bold;
+ color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+ padding: 4px 12px 4px 4px;
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ font-weight: 400;
+ display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+ color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+ color: var(--jp-ui-inverse-font-color1);
+ background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+ color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+ color: var(--jp-ui-inverse-font-color1);
+ background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+ background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+ overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+ color: var(--jp-ui-font-color0);
+ background-color: transparent;
+ font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+ color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+ margin: 0 4px 0 0;
+ position: relative;
+ width: 16px;
+ top: 2px;
+ flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+ opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+ flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+ display: none;
+}
+
+.lm-CommandPalette-content {
+ background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+ content: 'No results';
+ margin: auto;
+ margin-top: 20px;
+ width: 100px;
+ display: block;
+ font-size: var(--jp-ui-font-size2);
+ font-family: var(--jp-ui-font-family);
+ font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+ text-align: center;
+ margin-top: 24px;
+ line-height: 1.32;
+ padding: 0 8px;
+ color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+ position: absolute;
+ z-index: 10000;
+ display: flex;
+ flex-direction: column;
+ align-items: center;
+ justify-content: center;
+ top: 0;
+ left: 0;
+ margin: 0;
+ padding: 0;
+ width: 100%;
+ height: 100%;
+ background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+ display: flex;
+ flex-direction: column;
+ margin-left: auto;
+ margin-right: auto;
+ background: var(--jp-layout-color1);
+ padding: 24px 24px 12px;
+ min-width: 300px;
+ min-height: 150px;
+ max-width: 1000px;
+ max-height: 500px;
+ box-sizing: border-box;
+ box-shadow: var(--jp-elevation-z20);
+ word-wrap: break-word;
+ border-radius: var(--jp-border-radius);
+
+ /* This is needed so that all font sizing of children done in ems is
+ * relative to this base size */
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color1);
+ resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+ max-width: 500px;
+}
+
+.jp-Dialog-button {
+ overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+ outline: 1px solid var(--jp-brand-color1);
+ outline-offset: 4px;
+ -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+ border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+ outline-offset: 4px;
+ -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+ outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+ outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+ outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+ padding: 0;
+ height: 100%;
+ min-width: unset;
+ min-height: unset;
+}
+
+.jp-Dialog-header {
+ display: flex;
+ justify-content: space-between;
+ flex: 0 0 auto;
+ padding-bottom: 12px;
+ font-size: var(--jp-ui-font-size3);
+ font-weight: 400;
+ color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+ display: flex;
+ flex-direction: column;
+ flex: 1 1 auto;
+ font-size: var(--jp-ui-font-size1);
+ background: var(--jp-layout-color1);
+ color: var(--jp-ui-font-color1);
+ overflow: auto;
+}
+
+.jp-Dialog-footer {
+ display: flex;
+ flex-direction: row;
+ justify-content: flex-end;
+ align-items: center;
+ flex: 0 0 auto;
+ margin-left: -12px;
+ margin-right: -12px;
+ padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+ padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+ outline: 1px solid var(--jp-input-active-border-color);
+ outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+ flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+ overflow: hidden;
+ white-space: nowrap;
+ text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+ width: 100%;
+}
+
+.jp-Dialog-body > button {
+ padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+ line-height: 1.4;
+ color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+ margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+ flex-direction: row-reverse;
+ align-items: end;
+ width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+ flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+ outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+ padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+ width: auto;
+ padding: 10px;
+ background: var(--jp-error-color3);
+ border: var(--jp-border-width) solid var(--jp-error-color1);
+ border-radius: var(--jp-border-radius);
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ white-space: pre-wrap;
+ word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+ --md-red-50: #ffebee;
+ --md-red-100: #ffcdd2;
+ --md-red-200: #ef9a9a;
+ --md-red-300: #e57373;
+ --md-red-400: #ef5350;
+ --md-red-500: #f44336;
+ --md-red-600: #e53935;
+ --md-red-700: #d32f2f;
+ --md-red-800: #c62828;
+ --md-red-900: #b71c1c;
+ --md-red-A100: #ff8a80;
+ --md-red-A200: #ff5252;
+ --md-red-A400: #ff1744;
+ --md-red-A700: #d50000;
+ --md-pink-50: #fce4ec;
+ --md-pink-100: #f8bbd0;
+ --md-pink-200: #f48fb1;
+ --md-pink-300: #f06292;
+ --md-pink-400: #ec407a;
+ --md-pink-500: #e91e63;
+ --md-pink-600: #d81b60;
+ --md-pink-700: #c2185b;
+ --md-pink-800: #ad1457;
+ --md-pink-900: #880e4f;
+ --md-pink-A100: #ff80ab;
+ --md-pink-A200: #ff4081;
+ --md-pink-A400: #f50057;
+ --md-pink-A700: #c51162;
+ --md-purple-50: #f3e5f5;
+ --md-purple-100: #e1bee7;
+ --md-purple-200: #ce93d8;
+ --md-purple-300: #ba68c8;
+ --md-purple-400: #ab47bc;
+ --md-purple-500: #9c27b0;
+ --md-purple-600: #8e24aa;
+ --md-purple-700: #7b1fa2;
+ --md-purple-800: #6a1b9a;
+ --md-purple-900: #4a148c;
+ --md-purple-A100: #ea80fc;
+ --md-purple-A200: #e040fb;
+ --md-purple-A400: #d500f9;
+ --md-purple-A700: #a0f;
+ --md-deep-purple-50: #ede7f6;
+ --md-deep-purple-100: #d1c4e9;
+ --md-deep-purple-200: #b39ddb;
+ --md-deep-purple-300: #9575cd;
+ --md-deep-purple-400: #7e57c2;
+ --md-deep-purple-500: #673ab7;
+ --md-deep-purple-600: #5e35b1;
+ --md-deep-purple-700: #512da8;
+ --md-deep-purple-800: #4527a0;
+ --md-deep-purple-900: #311b92;
+ --md-deep-purple-A100: #b388ff;
+ --md-deep-purple-A200: #7c4dff;
+ --md-deep-purple-A400: #651fff;
+ --md-deep-purple-A700: #6200ea;
+ --md-indigo-50: #e8eaf6;
+ --md-indigo-100: #c5cae9;
+ --md-indigo-200: #9fa8da;
+ --md-indigo-300: #7986cb;
+ --md-indigo-400: #5c6bc0;
+ --md-indigo-500: #3f51b5;
+ --md-indigo-600: #3949ab;
+ --md-indigo-700: #303f9f;
+ --md-indigo-800: #283593;
+ --md-indigo-900: #1a237e;
+ --md-indigo-A100: #8c9eff;
+ --md-indigo-A200: #536dfe;
+ --md-indigo-A400: #3d5afe;
+ --md-indigo-A700: #304ffe;
+ --md-blue-50: #e3f2fd;
+ --md-blue-100: #bbdefb;
+ --md-blue-200: #90caf9;
+ --md-blue-300: #64b5f6;
+ --md-blue-400: #42a5f5;
+ --md-blue-500: #2196f3;
+ --md-blue-600: #1e88e5;
+ --md-blue-700: #1976d2;
+ --md-blue-800: #1565c0;
+ --md-blue-900: #0d47a1;
+ --md-blue-A100: #82b1ff;
+ --md-blue-A200: #448aff;
+ --md-blue-A400: #2979ff;
+ --md-blue-A700: #2962ff;
+ --md-light-blue-50: #e1f5fe;
+ --md-light-blue-100: #b3e5fc;
+ --md-light-blue-200: #81d4fa;
+ --md-light-blue-300: #4fc3f7;
+ --md-light-blue-400: #29b6f6;
+ --md-light-blue-500: #03a9f4;
+ --md-light-blue-600: #039be5;
+ --md-light-blue-700: #0288d1;
+ --md-light-blue-800: #0277bd;
+ --md-light-blue-900: #01579b;
+ --md-light-blue-A100: #80d8ff;
+ --md-light-blue-A200: #40c4ff;
+ --md-light-blue-A400: #00b0ff;
+ --md-light-blue-A700: #0091ea;
+ --md-cyan-50: #e0f7fa;
+ --md-cyan-100: #b2ebf2;
+ --md-cyan-200: #80deea;
+ --md-cyan-300: #4dd0e1;
+ --md-cyan-400: #26c6da;
+ --md-cyan-500: #00bcd4;
+ --md-cyan-600: #00acc1;
+ --md-cyan-700: #0097a7;
+ --md-cyan-800: #00838f;
+ --md-cyan-900: #006064;
+ --md-cyan-A100: #84ffff;
+ --md-cyan-A200: #18ffff;
+ --md-cyan-A400: #00e5ff;
+ --md-cyan-A700: #00b8d4;
+ --md-teal-50: #e0f2f1;
+ --md-teal-100: #b2dfdb;
+ --md-teal-200: #80cbc4;
+ --md-teal-300: #4db6ac;
+ --md-teal-400: #26a69a;
+ --md-teal-500: #009688;
+ --md-teal-600: #00897b;
+ --md-teal-700: #00796b;
+ --md-teal-800: #00695c;
+ --md-teal-900: #004d40;
+ --md-teal-A100: #a7ffeb;
+ --md-teal-A200: #64ffda;
+ --md-teal-A400: #1de9b6;
+ --md-teal-A700: #00bfa5;
+ --md-green-50: #e8f5e9;
+ --md-green-100: #c8e6c9;
+ --md-green-200: #a5d6a7;
+ --md-green-300: #81c784;
+ --md-green-400: #66bb6a;
+ --md-green-500: #4caf50;
+ --md-green-600: #43a047;
+ --md-green-700: #388e3c;
+ --md-green-800: #2e7d32;
+ --md-green-900: #1b5e20;
+ --md-green-A100: #b9f6ca;
+ --md-green-A200: #69f0ae;
+ --md-green-A400: #00e676;
+ --md-green-A700: #00c853;
+ --md-light-green-50: #f1f8e9;
+ --md-light-green-100: #dcedc8;
+ --md-light-green-200: #c5e1a5;
+ --md-light-green-300: #aed581;
+ --md-light-green-400: #9ccc65;
+ --md-light-green-500: #8bc34a;
+ --md-light-green-600: #7cb342;
+ --md-light-green-700: #689f38;
+ --md-light-green-800: #558b2f;
+ --md-light-green-900: #33691e;
+ --md-light-green-A100: #ccff90;
+ --md-light-green-A200: #b2ff59;
+ --md-light-green-A400: #76ff03;
+ --md-light-green-A700: #64dd17;
+ --md-lime-50: #f9fbe7;
+ --md-lime-100: #f0f4c3;
+ --md-lime-200: #e6ee9c;
+ --md-lime-300: #dce775;
+ --md-lime-400: #d4e157;
+ --md-lime-500: #cddc39;
+ --md-lime-600: #c0ca33;
+ --md-lime-700: #afb42b;
+ --md-lime-800: #9e9d24;
+ --md-lime-900: #827717;
+ --md-lime-A100: #f4ff81;
+ --md-lime-A200: #eeff41;
+ --md-lime-A400: #c6ff00;
+ --md-lime-A700: #aeea00;
+ --md-yellow-50: #fffde7;
+ --md-yellow-100: #fff9c4;
+ --md-yellow-200: #fff59d;
+ --md-yellow-300: #fff176;
+ --md-yellow-400: #ffee58;
+ --md-yellow-500: #ffeb3b;
+ --md-yellow-600: #fdd835;
+ --md-yellow-700: #fbc02d;
+ --md-yellow-800: #f9a825;
+ --md-yellow-900: #f57f17;
+ --md-yellow-A100: #ffff8d;
+ --md-yellow-A200: #ff0;
+ --md-yellow-A400: #ffea00;
+ --md-yellow-A700: #ffd600;
+ --md-amber-50: #fff8e1;
+ --md-amber-100: #ffecb3;
+ --md-amber-200: #ffe082;
+ --md-amber-300: #ffd54f;
+ --md-amber-400: #ffca28;
+ --md-amber-500: #ffc107;
+ --md-amber-600: #ffb300;
+ --md-amber-700: #ffa000;
+ --md-amber-800: #ff8f00;
+ --md-amber-900: #ff6f00;
+ --md-amber-A100: #ffe57f;
+ --md-amber-A200: #ffd740;
+ --md-amber-A400: #ffc400;
+ --md-amber-A700: #ffab00;
+ --md-orange-50: #fff3e0;
+ --md-orange-100: #ffe0b2;
+ --md-orange-200: #ffcc80;
+ --md-orange-300: #ffb74d;
+ --md-orange-400: #ffa726;
+ --md-orange-500: #ff9800;
+ --md-orange-600: #fb8c00;
+ --md-orange-700: #f57c00;
+ --md-orange-800: #ef6c00;
+ --md-orange-900: #e65100;
+ --md-orange-A100: #ffd180;
+ --md-orange-A200: #ffab40;
+ --md-orange-A400: #ff9100;
+ --md-orange-A700: #ff6d00;
+ --md-deep-orange-50: #fbe9e7;
+ --md-deep-orange-100: #ffccbc;
+ --md-deep-orange-200: #ffab91;
+ --md-deep-orange-300: #ff8a65;
+ --md-deep-orange-400: #ff7043;
+ --md-deep-orange-500: #ff5722;
+ --md-deep-orange-600: #f4511e;
+ --md-deep-orange-700: #e64a19;
+ --md-deep-orange-800: #d84315;
+ --md-deep-orange-900: #bf360c;
+ --md-deep-orange-A100: #ff9e80;
+ --md-deep-orange-A200: #ff6e40;
+ --md-deep-orange-A400: #ff3d00;
+ --md-deep-orange-A700: #dd2c00;
+ --md-brown-50: #efebe9;
+ --md-brown-100: #d7ccc8;
+ --md-brown-200: #bcaaa4;
+ --md-brown-300: #a1887f;
+ --md-brown-400: #8d6e63;
+ --md-brown-500: #795548;
+ --md-brown-600: #6d4c41;
+ --md-brown-700: #5d4037;
+ --md-brown-800: #4e342e;
+ --md-brown-900: #3e2723;
+ --md-grey-50: #fafafa;
+ --md-grey-100: #f5f5f5;
+ --md-grey-200: #eee;
+ --md-grey-300: #e0e0e0;
+ --md-grey-400: #bdbdbd;
+ --md-grey-500: #9e9e9e;
+ --md-grey-600: #757575;
+ --md-grey-700: #616161;
+ --md-grey-800: #424242;
+ --md-grey-900: #212121;
+ --md-blue-grey-50: #eceff1;
+ --md-blue-grey-100: #cfd8dc;
+ --md-blue-grey-200: #b0bec5;
+ --md-blue-grey-300: #90a4ae;
+ --md-blue-grey-400: #78909c;
+ --md-blue-grey-500: #607d8b;
+ --md-blue-grey-600: #546e7a;
+ --md-blue-grey-700: #455a64;
+ --md-blue-grey-800: #37474f;
+ --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+ /* This is the padding value to fill the gaps between lines containing spans with background color. */
+ --jp-private-code-span-padding: calc(
+ (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+ );
+}
+
+.jp-RenderedText {
+ text-align: left;
+ padding-left: var(--jp-code-padding);
+ line-height: var(--jp-code-line-height);
+ font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+ color: var(--jp-content-font-color1);
+ font-size: var(--jp-code-font-size);
+ border: none;
+ margin: 0;
+ padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+ text-decoration: none;
+ color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+ text-decoration: underline;
+ color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+ text-decoration: none;
+ color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+ color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+ color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+ color: #00a250;
+}
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+.jp-RenderedText pre .ansi-yellow-fg {
+ color: #ddb62b;
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+.jp-RenderedText pre .ansi-blue-fg {
+ color: #208ffb;
+}
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+ color: #d160c4;
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+.jp-RenderedText pre .ansi-cyan-fg {
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+
+.jp-RenderedText pre .ansi-white-fg {
+ color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+ background-color: #3e424d;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+ background-color: #e75c58;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+ background-color: #00a250;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+ background-color: #ddb62b;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+ background-color: #208ffb;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+ background-color: #d160c4;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+ background-color: #60c6c8;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+ background-color: #c5c1b4;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+ color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+ color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+ color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+ color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+ color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+ color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+ color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+ color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+ background-color: #282c36;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+ background-color: #b22b31;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+ background-color: #007427;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+ background-color: #b27d12;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+ background-color: #0065ca;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+ background-color: #a03196;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+ background-color: #258f8f;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+ background-color: #a1a6b2;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+ color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+ background-color: var(--jp-inverse-layout-color0);
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+ font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+ text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+ background: var(--jp-rendermime-error-background);
+ padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+ color: var(--jp-content-font-color1);
+ font-size: var(--jp-content-font-size1);
+ line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+ padding: var(--jp-code-padding);
+ text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+ color: var(--jp-content-font-color1);
+ font-family: var(--jp-content-font-family);
+ font-size: var(--jp-content-font-size1);
+ line-height: var(--jp-content-line-height);
+
+ /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+ padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+ font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+ font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+ text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+ text-decoration: none;
+ color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+ text-decoration: underline;
+ color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+ text-decoration: none;
+ color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+ line-height: var(--jp-content-heading-line-height);
+ font-weight: var(--jp-content-heading-font-weight);
+ font-style: normal;
+ margin: var(--jp-content-heading-margin-top) 0
+ var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+ margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+ margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+ font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+ font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+ font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+ font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+ font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+ font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+ padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+ list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+ list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+ list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+ list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+ list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+ list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+ list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+ list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+ margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+ margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+ color: var(--jp-border-color2);
+ background-color: var(--jp-border-color1);
+ margin-top: 1em;
+ margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+ margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+ border: 0;
+ background-color: var(--jp-layout-color0);
+ color: var(--jp-content-font-color1);
+ font-family: var(--jp-code-font-family);
+ font-size: inherit;
+ line-height: var(--jp-code-line-height);
+ padding: 0;
+ white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+ background-color: var(--jp-layout-color2);
+ padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+ border-collapse: collapse;
+ border-spacing: 0;
+ border: none;
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ table-layout: fixed;
+ margin-left: auto;
+ margin-bottom: 1em;
+ margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+ border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+ vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+ vertical-align: middle;
+ padding: 0.5em;
+ line-height: normal;
+ white-space: normal;
+ max-width: none;
+ border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+ max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+ text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+ font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+ background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+ background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+ background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+ text-align: left;
+ margin: 0;
+ margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+ -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+ display: block;
+ margin-left: 0;
+ margin-right: 0;
+ margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+ background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+ background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+ max-width: 100%;
+ height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+ max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+ padding: var(--jp-notebook-padding);
+ border: var(--jp-border-width) solid transparent;
+ border-radius: var(--jp-border-radius);
+ margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+ color: var(--jp-info-color0);
+ background-color: var(--jp-info-color3);
+ border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+ border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+ margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+ color: var(--jp-warn-color0);
+ background-color: var(--jp-warn-color3);
+ border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+ border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+ margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+ color: var(--jp-success-color0);
+ background-color: var(--jp-success-color3);
+ border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+ border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+ margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+ color: var(--jp-error-color0);
+ background-color: var(--jp-error-color3);
+ border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+ border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+ margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+ margin: 1em 2em;
+ padding: 0 1em;
+ border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+ visibility: hidden;
+ margin-left: 8px;
+ color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+ visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+ background-color: var(--jp-rendermime-table-row-background);
+ border: 1px solid var(--jp-border-color0);
+ border-bottom-color: var(--jp-border-color2);
+ border-radius: 3px;
+ box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+ display: inline-block;
+ font-size: var(--jp-ui-font-size0);
+ line-height: 1em;
+ padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+ margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+ position: fixed;
+ width: 200px;
+ height: 200px;
+ margin-top: -100px;
+ margin-left: -100px;
+ will-change: transform;
+ z-index: 100;
+}
+
+.lm-mod-drag-image {
+ will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+ padding: 4px 12px;
+ background-color: var(--jp-layout-color2);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ z-index: 2;
+ font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+ font-size: var(--jp-ui-font-size0);
+ line-height: var(--jp-ui-font-size1);
+ margin-top: 4px;
+ color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+ border: none;
+ border-radius: 0;
+ position: absolute;
+ background-size: 16px;
+ background-repeat: no-repeat;
+ background-position: center;
+ outline: none;
+}
+
+.jp-lineFormButtonContainer {
+ top: 4px;
+ right: 8px;
+ height: 24px;
+ padding: 0 12px;
+ width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+ top: 0;
+ right: 0;
+ background-color: var(--jp-brand-color1);
+ height: 100%;
+ width: 100%;
+ box-sizing: border-box;
+ padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+ top: 0;
+ right: 0;
+ background-color: transparent;
+ height: 100%;
+ width: 100%;
+ box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+ overflow: hidden;
+ padding: 0 8px;
+ border: 1px solid var(--jp-border-color0);
+ background-color: var(--jp-input-active-background);
+ height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+ border: var(--jp-border-width) solid var(--md-blue-500);
+ box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+ background: transparent;
+ width: 200px;
+ height: 100%;
+ border: none;
+ outline: none;
+ color: var(--jp-ui-font-color0);
+ line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+ display: flex;
+ flex-direction: column;
+ width: 100%;
+}
+
+.jp-JSONEditor-host {
+ flex: 1 1 auto;
+ border: var(--jp-border-width) solid var(--jp-input-border-color);
+ border-radius: 0;
+ background: var(--jp-layout-color0);
+ min-height: 50px;
+ padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+ border-color: red;
+ outline-color: red;
+}
+
+.jp-JSONEditor-header {
+ display: flex;
+ flex: 1 0 auto;
+ padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+ flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+ height: 16px;
+ width: 16px;
+ background-size: 18px;
+ background-repeat: no-repeat;
+ background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+ background-color: var(--jp-input-active-background);
+ border: 1px solid var(--jp-input-active-border-color);
+ box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+ border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+ box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+ border: none;
+ outline: none;
+ color: var(--jp-ui-font-color0);
+ font-size: var(--jp-ui-font-size1);
+ background-color: var(--jp-layout-color0);
+ font-family: var(--jp-ui-font-family);
+ padding: 2px 1px;
+ resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+ position: absolute;
+ background-color: var(--jp-toolbar-background);
+ border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ top: 0;
+ right: 0;
+ z-index: 7;
+ min-width: 405px;
+ padding: 2px;
+ font-size: var(--jp-ui-font-size1);
+
+ --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+ background-color: var(--jp-toolbar-background);
+ outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+ background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+ display: flex;
+ align-items: center;
+ margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+ display: inline-block;
+ cursor: pointer;
+ box-sizing: border-box;
+ width: 100%;
+ height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+ width: 100%;
+ height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+ border: var(--jp-border-width) solid var(--jp-border-color0);
+ display: flex;
+ background-color: var(--jp-layout-color0);
+ margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+ border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+ all: initial;
+ overflow: hidden;
+ display: inline-block;
+ border: none;
+ box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+ width: 14px;
+ height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+ width: var(--jp-private-document-search-button-height);
+ height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+ outline: var(--jp-border-width) solid
+ var(--jp-cell-editor-active-border-color);
+ outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+ outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+ width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+ display: block;
+ padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+ opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+ opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+ opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+ padding-left: 10px;
+ padding-right: 10px;
+ user-select: none;
+ min-width: 35px;
+ display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+ display: inline-block;
+ padding-right: 2px;
+ margin-left: auto;
+ white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+ margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+ outline: 0;
+ border: none;
+ width: var(--jp-private-document-search-button-height);
+ height: var(--jp-private-document-search-button-height);
+ vertical-align: middle;
+ margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+ background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+ border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+ background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+ padding: 0 8px;
+ margin-left: 3px;
+ width: 100%;
+ display: grid;
+ justify-content: start;
+ grid-template-columns: 1fr 1fr;
+ align-items: center;
+ justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+ display: flex;
+ align-items: center;
+ user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+ color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+ overflow: hidden;
+ display: inline-block;
+ box-sizing: border-box;
+ border: var(--jp-border-width) solid var(--jp-border-color0);
+ margin: auto 2px;
+ padding: 1px 4px;
+ height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+ border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+ display: inline-block;
+ text-align: center;
+ cursor: pointer;
+ box-sizing: border-box;
+ color: var(--jp-ui-font-color1);
+
+ /* height - 2 * (padding of wrapper) */
+ line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+ width: 100%;
+ height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+ outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+ margin-left: 14px;
+ display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+ border: none;
+ background-color: var(--jp-toolbar-background);
+ border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+ line-height: var(--jp-code-line-height);
+ font-size: var(--jp-code-font-size);
+ font-family: var(--jp-code-font-family);
+ border: 0;
+ border-radius: 0;
+ height: auto;
+
+ /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+ padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+ background-color: var(--jp-layout-color0);
+ color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+ cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+ .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+ border-left: var(--jp-code-cursor-width1) solid
+ var(--jp-editor-cursor-color);
+ }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+ .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+ border-left: var(--jp-code-cursor-width2) solid
+ var(--jp-editor-cursor-color);
+ }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+ display: none;
+}
+
+.jp-CollaboratorCursor {
+ border-left: 5px solid transparent;
+ border-right: 5px solid transparent;
+ border-top: none;
+ border-bottom: 3px solid;
+ background-clip: content-box;
+ margin-left: -5px;
+ margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+ /* `.cm-searching span`: we need to override syntax highlighting */
+ background-color: var(--jp-search-unselected-match-background-color);
+ color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+ background-color: var(--jp-search-unselected-match-background-color);
+ color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+ background-color: var(--jp-search-selected-match-background-color);
+ color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+ background-color: var(--jp-search-selected-match-background-color);
+ color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+ background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+ background-position: center left;
+ background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+ position: absolute;
+ z-index: 1;
+ transform: translateX(-50%);
+ color: white;
+ border-radius: 3px;
+ padding-left: 4px;
+ padding-right: 4px;
+ padding-top: 1px;
+ padding-bottom: 1px;
+ text-align: center;
+ font-size: var(--jp-ui-font-size1);
+ white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+ border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+ position: relative;
+ border-left: 1px solid black;
+ margin-left: -1px;
+ margin-right: -1px;
+ box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+ white-space: nowrap;
+ position: absolute;
+ top: -1.15em;
+ padding-bottom: 0.05em;
+ left: -1px;
+ font-size: 0.95em;
+ font-family: var(--jp-ui-font-family);
+ font-weight: bold;
+ line-height: normal;
+ user-select: none;
+ color: white;
+ padding-left: 2px;
+ padding-right: 2px;
+ z-index: 101;
+ transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+ transition-delay: 0.7s;
+ opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+ opacity: 1;
+ transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+ outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-filebrowser-button-height: 28px;
+ --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+ display: flex;
+ flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+ flex-wrap: wrap;
+ row-gap: 12px;
+ border-bottom: none;
+ height: auto;
+ margin: 8px 12px 0;
+ box-shadow: none;
+ padding: 0;
+ justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+ flex: 1 1 auto;
+ display: flex;
+ flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+ flex: 0 0 auto;
+ margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+ margin: 0 2px;
+ padding: 0 2px;
+ border-radius: var(--jp-border-radius);
+ cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+ margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+ background-color: var(--jp-brand-color2);
+ opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+ flex: 0 0 auto;
+ padding-left: 0;
+ padding-right: 2px;
+ align-items: center;
+ height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+ width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+ color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+ margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+ display: none;
+}
+
+.jp-FileSize-hidden {
+ display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+ display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+ flex: 1 1 auto;
+ display: flex;
+ flex-direction: column;
+ outline: 0;
+}
+
+.jp-DirListing-header {
+ flex: 0 0 auto;
+ display: flex;
+ flex-direction: row;
+ align-items: center;
+ overflow: hidden;
+ border-top: var(--jp-border-width) solid var(--jp-border-color2);
+ border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+ padding: 4px 12px 2px;
+ font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+ background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+ flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+ flex: 0 0 112px;
+ border-left: var(--jp-border-width) solid var(--jp-border-color2);
+ text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+ flex: 0 0 75px;
+ border-left: var(--jp-border-width) solid var(--jp-border-color2);
+ text-align: right;
+}
+
+.jp-id-narrow {
+ display: none;
+ flex: 0 0 5px;
+ padding: 4px;
+ border-left: var(--jp-border-width) solid var(--jp-border-color2);
+ text-align: right;
+ color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+ display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+ display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+ font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+ flex: 1 1 auto;
+ margin: 0;
+ padding: 0;
+ list-style-type: none;
+ overflow: auto;
+ background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+ color: var(--jp-ui-font-color0);
+ background-color: transparent;
+ font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+ color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+ outline: 5px dashed rgba(128, 128, 128, 0.5);
+ outline-offset: -10px;
+ cursor: copy;
+}
+
+.jp-DirListing-item {
+ display: flex;
+ flex-direction: row;
+ align-items: center;
+ padding: 4px 12px;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+ /* Increases hit area of checkbox. */
+ padding: 4px;
+}
+
+.jp-DirListing-header
+ .jp-DirListing-checkboxWrapper
+ + .jp-DirListing-headerItem {
+ padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+ position: relative;
+ left: -4px;
+ margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+ visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+ .jp-DirListing-checkboxWrapper {
+ visibility: hidden;
+ }
+
+ .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+ .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+ visibility: visible;
+ }
+}
+
+.jp-DirListing-item[data-is-dot] {
+ opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+ color: var(--jp-ui-inverse-font-color1);
+ background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+ background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+ background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+ flex: 0 0 20px;
+ margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+ flex: 1 0 64px;
+ white-space: nowrap;
+ overflow: hidden;
+ text-overflow: ellipsis;
+ user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+ outline-width: 2px;
+ outline-color: var(--jp-inverse-layout-color1);
+ outline-style: solid;
+ outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+ outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+ flex: 0 0 125px;
+ text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+ flex: 0 0 90px;
+ text-align: right;
+}
+
+.jp-DirListing-editor {
+ flex: 1 0 64px;
+ outline: none;
+ border: none;
+ color: var(--jp-ui-font-color1);
+ background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+ color: var(--jp-success-color1);
+ content: '\25CF';
+ font-size: 8px;
+ position: absolute;
+ left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+ .jp-DirListing-itemIcon::before {
+ color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+ font-size: var(--jp-ui-font-size1);
+ padding-left: 4px;
+ margin-left: 4px;
+ width: 160px;
+ background-color: var(--jp-ui-inverse-font-color2);
+ box-shadow: var(--jp-elevation-z2);
+ border-radius: 0;
+ color: var(--jp-ui-font-color1);
+ transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+ min-width: 120px;
+ min-height: 120px;
+ outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+ overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+ display: table;
+ table-layout: fixed;
+ width: 100%;
+ overflow: hidden;
+}
+
+.jp-OutputPrompt {
+ width: var(--jp-cell-prompt-width);
+ color: var(--jp-cell-outprompt-font-color);
+ font-family: var(--jp-cell-prompt-font-family);
+ padding: var(--jp-code-padding);
+ letter-spacing: var(--jp-cell-prompt-letter-spacing);
+ line-height: var(--jp-code-line-height);
+ font-size: var(--jp-code-font-size);
+ border: var(--jp-border-width) solid transparent;
+ opacity: var(--jp-cell-prompt-opacity);
+
+ /* Right align prompt text, don't wrap to handle large prompt numbers */
+ text-align: right;
+ white-space: nowrap;
+ overflow: hidden;
+ text-overflow: ellipsis;
+
+ /* Disable text selection */
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.jp-OutputArea-prompt {
+ display: table-cell;
+ vertical-align: top;
+}
+
+.jp-OutputArea-output {
+ display: table-cell;
+ width: 100%;
+ height: auto;
+ overflow: auto;
+ user-select: text;
+ -moz-user-select: text;
+ -webkit-user-select: text;
+ -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+ padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+ position: absolute;
+ top: 0;
+ width: var(--jp-cell-prompt-width);
+ height: 100%;
+ opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+ background: var(--jp-layout-color2);
+ box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+ cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+ cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+ width: 100%;
+ display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+ position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+ content: '';
+ position: absolute;
+ top: 0;
+ left: 0;
+ right: 0;
+ bottom: 0;
+ background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+ border: none;
+ margin: 0;
+ padding: 0;
+ overflow-x: auto;
+ overflow-y: auto;
+ word-break: break-all;
+ word-wrap: break-word;
+ white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+ margin-left: 0;
+ margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+ display: block;
+}
+
+.jp-OutputArea-output dl {
+ width: 100%;
+ overflow: hidden;
+ padding: 0;
+ margin: 0;
+}
+
+.jp-OutputArea-output dt {
+ font-weight: bold;
+ float: left;
+ width: 20%;
+ padding: 0;
+ margin: 0;
+}
+
+.jp-OutputArea-output dd {
+ float: left;
+ width: 80%;
+ padding: 0;
+ margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+ background: var(--jp-layout-color3);
+ font-size: calc(var(--jp-code-font-size) * 1.4);
+ text-align: center;
+ text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ * - nested output areas (e.g. in the case of output widgets)
+ * - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+ display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+ padding: 0;
+ border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+ margin-left: 0;
+ width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+ padding-top: var(--jp-code-padding);
+ border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+ color: var(--jp-content-font-color0);
+ padding-right: var(--jp-code-padding);
+ vertical-align: baseline;
+ flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+ font-family: var(--jp-code-font-family);
+ font-size: inherit;
+ color: inherit;
+ background-color: inherit;
+ width: 42%;
+ min-width: 200px;
+
+ /* make sure input baseline aligns with prompt */
+ vertical-align: baseline;
+
+ /* padding + margin = 0.5em between prompt and cursor */
+ padding: 0 0.25em;
+ margin: 0 0.25em;
+ flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+ opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+ box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+ opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+ height: 100%;
+ display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+ height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+ .jp-OutputArea-child {
+ break-inside: avoid-page;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+ .jp-OutputPrompt {
+ display: table-row;
+ text-align: left;
+ }
+
+ .jp-OutputArea-child .jp-OutputArea-output {
+ display: table-row;
+ margin-left: var(--jp-notebook-padding);
+ }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+ margin: 10px;
+ text-decoration: none;
+ cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+ text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+ display: flex;
+ flex-direction: column;
+ background: var(--jp-layout-color1);
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+ text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+ color: var(--jp-content-font-color2);
+ padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+ margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+ overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+ margin: 4px;
+}
+
+.jp-TableOfContents ol {
+ list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+ /* Align left border with triangle icon center */
+ padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+ /* left margin for the active heading indicator */
+ margin: 0 0 0 var(--jp-private-toc-active-width);
+ padding: 0;
+ background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.jp-tocItem-heading {
+ display: flex;
+ cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+ display: block;
+ padding: 4px 0;
+ white-space: nowrap;
+ text-overflow: ellipsis;
+ overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+ height: 20px;
+ margin: 2px 2px 0;
+ padding: 0;
+ background: none;
+ border: none;
+ cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+ background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+ content: ' ';
+ background: transparent;
+ width: var(--jp-private-toc-active-width);
+ height: 24px;
+ position: absolute;
+ left: 0;
+ border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+ background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+ background: var(--jp-brand-color0);
+ opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+ flex: 0 0 var(--jp-cell-collapser-width);
+ padding: 0;
+ margin: 0;
+ border: none;
+ outline: none;
+ background: transparent;
+ border-radius: var(--jp-border-radius);
+ opacity: 1;
+}
+
+.jp-Collapser-child {
+ display: block;
+ width: 100%;
+ box-sizing: border-box;
+
+ /* height: 100% doesn't work because the height of its parent is computed from content */
+ position: absolute;
+ top: 0;
+ bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+ .jp-Collapser {
+ display: none;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+ height: 0;
+ width: 100%;
+ padding: 0;
+ margin: 0;
+ border: none;
+ outline: none;
+ background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+ display: table;
+ table-layout: fixed;
+ width: 100%;
+ overflow: hidden;
+}
+
+.jp-InputArea-editor {
+ display: table-cell;
+ overflow: hidden;
+ vertical-align: top;
+
+ /* This is the non-active, default styling */
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ border-radius: 0;
+ background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+ display: table-cell;
+ vertical-align: top;
+ width: var(--jp-cell-prompt-width);
+ color: var(--jp-cell-inprompt-font-color);
+ font-family: var(--jp-cell-prompt-font-family);
+ padding: var(--jp-code-padding);
+ letter-spacing: var(--jp-cell-prompt-letter-spacing);
+ opacity: var(--jp-cell-prompt-opacity);
+ line-height: var(--jp-code-line-height);
+ font-size: var(--jp-code-font-size);
+ border: var(--jp-border-width) solid transparent;
+
+ /* Right align prompt text, don't wrap to handle large prompt numbers */
+ text-align: right;
+ white-space: nowrap;
+ overflow: hidden;
+ text-overflow: ellipsis;
+
+ /* Disable text selection */
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+ .jp-InputArea-editor {
+ display: table-row;
+ margin-left: var(--jp-notebook-padding);
+ }
+
+ .jp-InputPrompt {
+ display: table-row;
+ text-align: left;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+ display: table;
+ table-layout: fixed;
+ width: 100%;
+}
+
+.jp-Placeholder-prompt {
+ display: table-cell;
+ box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+ display: table-cell;
+ padding: 4px 6px;
+ border: 1px solid transparent;
+ border-radius: 0;
+ background: none;
+ box-sizing: border-box;
+ cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+ display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+ border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+ width: 32px;
+ height: 16px;
+ border: 1px solid transparent;
+ border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+ border: 1px solid var(--jp-border-color1);
+ box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+ background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+ white-space: nowrap;
+ overflow-x: hidden;
+ color: var(--jp-inverse-layout-color3);
+ font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+ border-color: var(--jp-cell-editor-border-color);
+ background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+ padding: var(--jp-cell-padding);
+ margin: 0;
+ border: none;
+ outline: none;
+ background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+ display: flex;
+ flex-direction: row;
+ padding: 0;
+ margin: 0;
+
+ /* Added to reveal the box-shadow on the input and output collapsers. */
+ overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+ flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+ border: none !important;
+ background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+ min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+ margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+ overflow-y: auto;
+ max-height: 24em;
+ margin-left: var(--jp-private-cell-scrolling-output-offset);
+ resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+ max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+ content: ' ';
+ box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+ width: 100%;
+ height: 100%;
+ position: sticky;
+ bottom: 0;
+ top: 0;
+ margin-top: -50%;
+ float: left;
+ display: block;
+ pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+ padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+ width: calc(
+ var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+ );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+ left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+ display: table-cell;
+ width: 100%;
+ margin-top: 0;
+ margin-bottom: 0;
+ padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+ overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+ display: flex;
+ min-height: var(--jp-cell-collapser-min-height);
+ font-size: var(--jp-code-font-size);
+ position: absolute;
+ background-color: transparent;
+ background-size: 25px;
+ background-repeat: no-repeat;
+ background-position-x: center;
+ background-position-y: top;
+ background-image: var(--jp-icon-caret-down);
+ right: 0;
+ top: 0;
+ bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+ background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+ font-size: var(--jp-content-font-size1);
+}
+
+/*
+ Align collapseHeadingButton with cell top header
+ The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+ font-size: var(--jp-content-font-size5);
+ background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+ font-size: var(--jp-content-font-size4);
+ background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+ font-size: var(--jp-content-font-size3);
+ background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+ font-size: var(--jp-content-font-size2);
+ background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+ font-size: var(--jp-content-font-size1);
+ background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+ font-size: var(--jp-content-font-size0);
+ background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+ display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+ :is(.jp-MarkdownCell:hover, .jp-mod-active)
+ .jp-collapseHeadingButton {
+ display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+ margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+ margin-top: var(--jp-code-padding);
+ border: 1px solid var(--jp-border-color2);
+ background-color: var(--jp-border-color3) !important;
+ color: var(--jp-content-font-color0) !important;
+ display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+ background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+ display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+ .jp-Cell-inputWrapper,
+ .jp-Cell-outputWrapper {
+ display: block;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+ padding: var(--jp-notebook-toolbar-padding);
+
+ /* disable paint containment from lumino 2.0 default strict CSS containment */
+ contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+ border: none;
+ box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+ height: 24px;
+ font-size: var(--jp-ui-font-size1);
+ line-height: 14px;
+ border-radius: 0;
+ display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+ top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+ position: absolute;
+ height: fit-content;
+ display: flex;
+ flex-direction: row;
+ flex-wrap: wrap;
+ justify-content: flex-end;
+ border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ background: var(--jp-toolbar-background);
+ min-height: var(--jp-toolbar-micro-height);
+ padding: var(--jp-notebook-toolbar-padding);
+ z-index: 1;
+ right: 0;
+ top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+ margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+ position: relative;
+ display: inline-block;
+ height: 100%;
+ z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+ visibility: hidden;
+ height: auto;
+ width: max-content;
+ width: -moz-max-content;
+ background-color: var(--jp-layout-color2);
+ color: var(--jp-ui-font-color1);
+ text-align: justify;
+ border-radius: 6px;
+ padding: 0 5px;
+ position: fixed;
+ display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+ transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+ transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+ display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+ visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+ font-size: var(--jp-ui-font-size1);
+ font-family: var(--jp-ui-font-family);
+ color: var(--jp-ui-font-color1);
+ line-height: 24px;
+ display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+ display: flex;
+ justify-content: center;
+ height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+ content: '';
+
+ /* Must be identical to form a circle */
+ width: 12px;
+ height: 12px;
+ background: none;
+ border: none;
+ position: absolute;
+ right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+ border-radius: 50%;
+ border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+ background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+ border-radius: 50%;
+ border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+ background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+ margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+ height: 27px;
+ margin-left: calc(
+ var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+ var(--jp-cell-padding)
+ );
+ width: calc(
+ 100% -
+ (
+ var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+ var(--jp-cell-padding) + var(--jp-cell-padding)
+ )
+ );
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ color: var(--jp-ui-font-color3);
+ margin-top: 6px;
+ background: none;
+ cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+ border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+ .jp-Notebook-footer {
+ opacity: 0;
+ }
+
+ .jp-Notebook-footer:focus,
+ .jp-Notebook-footer:hover {
+ opacity: 1;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-side-by-side-output-size: 1fr;
+ --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+ --jp-private-notebook-dragImage-width: 304px;
+ --jp-private-notebook-dragImage-height: 36px;
+ --jp-private-notebook-selected-color: var(--md-blue-400);
+ --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+ display: block;
+ height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+ min-width: 240px;
+ min-height: 120px;
+}
+
+.jp-Notebook {
+ padding: var(--jp-notebook-padding);
+ outline: none;
+ overflow: auto;
+ background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+ display: block;
+ content: '';
+ min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+ contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+ overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+ cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+| - Command
+| - Edit
+| - Cell
+| - None
+| - Active (only one can be active)
+| - Selected (the cells actions are applied to)
+| - Multiselected (when multiple selected, the cursor)
+| - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+ opacity: var(--jp-cell-prompt-not-active-opacity);
+ color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+ opacity: var(--jp-cell-prompt-not-active-opacity);
+ color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+ background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+ color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+ color: var(--jp-warn-color1);
+ content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+ background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+ box-shadow: var(--jp-elevation-z2);
+ background: var(--jp-brand-color1);
+ opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+ background: var(--jp-brand-color0);
+ opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+ background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+ .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+ background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+ border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+ box-shadow: var(--jp-input-box-shadow);
+ background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+ opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+ .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+ border-top-color: var(--jp-private-notebook-selected-color);
+ border-top-style: solid;
+ border-top-width: 2px;
+}
+
+.jp-dragImage {
+ display: block;
+ flex-direction: row;
+ width: var(--jp-private-notebook-dragImage-width);
+ height: var(--jp-private-notebook-dragImage-height);
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ background: var(--jp-cell-editor-background);
+ overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+ box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+ flex: 1 1 auto;
+ z-index: 2;
+ font-size: var(--jp-code-font-size);
+ font-family: var(--jp-code-font-family);
+ line-height: var(--jp-code-line-height);
+ padding: var(--jp-code-padding);
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ background: var(--jp-cell-editor-background-color);
+ color: var(--jp-content-font-color3);
+ text-align: left;
+ margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+ flex: 0 0 auto;
+ min-width: 36px;
+ color: var(--jp-cell-inprompt-font-color);
+ padding: var(--jp-code-padding);
+ padding-left: 12px;
+ font-family: var(--jp-cell-prompt-font-family);
+ letter-spacing: var(--jp-cell-prompt-letter-spacing);
+ line-height: 1.9;
+ font-size: var(--jp-code-font-size);
+ border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+ z-index: -1;
+ position: absolute;
+ height: 32px;
+ width: 300px;
+ top: 8px;
+ left: 8px;
+ background: var(--jp-layout-color2);
+ border: var(--jp-border-width) solid var(--jp-input-border-color);
+ box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+ display: block;
+ min-width: var(--jp-sidebar-min-width);
+ color: var(--jp-ui-font-color1);
+ background: var(--jp-layout-color1);
+
+ /* This is needed so that all font sizing of children done in ems is
+ * relative to this base size */
+ font-size: var(--jp-ui-font-size1);
+ overflow: auto;
+}
+
+.jp-ActiveCellTool {
+ padding: 12px 0;
+ display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+ flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+ background: var(--jp-cell-editor-background);
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ border-radius: 0;
+ min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+ min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+ padding: 5px 4px;
+ margin: 0;
+ white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+ flex-direction: column;
+ padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+ margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color0);
+ border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+ line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+ margin-top: 4px;
+ margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+ width: 100%;
+ margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+ margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+ --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+ --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+ flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+ margin-top: 3em;
+ margin-bottom: 3em;
+ margin-left: 5%;
+ margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+ display: grid;
+ grid-template-columns: minmax(0, 1fr) min-content minmax(
+ 0,
+ var(--jp-side-by-side-output-size)
+ );
+ grid-template-rows: auto minmax(0, 1fr) auto;
+ grid-template-areas:
+ 'header header header'
+ 'input handle output'
+ 'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+ grid-template-columns: minmax(0, 1fr) min-content minmax(
+ 0,
+ var(--jp-side-by-side-resized-cell)
+ );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+ grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+ grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+ /* overwrite the default margin (no vertical separation needed in side by side move */
+ margin-top: 0;
+ grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+ grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+ grid-area: handle;
+ user-select: none;
+ display: block;
+ height: 100%;
+ cursor: ew-resize;
+ padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+ content: '';
+ display: block;
+ background: var(--jp-border-color2);
+ height: 100%;
+ width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+ .jp-CodeCell.jp-mod-resizedCell
+ .jp-CellResizeHandle::after {
+ background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+ display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+ padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+ background: #fff;
+ border: 1px solid;
+ border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+ border-radius: 4px;
+ -webkit-border-radius: 4px;
+ margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+ padding: 15px;
+ position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+ background-repeat: repeat;
+ background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+ background: #f6f7f8;
+ background-image: -webkit-linear-gradient(
+ left,
+ #f6f7f8 0%,
+ #edeef1 20%,
+ #f6f7f8 40%,
+ #f6f7f8 100%
+ );
+ background-repeat: no-repeat;
+ background-size: 800px 104px;
+ height: 104px;
+ position: absolute;
+ right: 15px;
+ left: 15px;
+ top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+ top: 20px;
+ height: 20px;
+ left: 15px;
+ width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+ left: 15px;
+ top: 50px;
+ height: 10px;
+ width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+ left: 15px;
+ right: 15px;
+ height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+ top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+ top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+ top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+ /* Elevation
+ *
+ * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+ *
+ * https://github.com/material-components/material-components-web
+ * https://material-components-web.appspot.com/elevation.html
+ */
+
+ --jp-shadow-base-lightness: 0;
+ --jp-shadow-umbra-color: rgba(
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ 0.2
+ );
+ --jp-shadow-penumbra-color: rgba(
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ 0.14
+ );
+ --jp-shadow-ambient-color: rgba(
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ 0.12
+ );
+ --jp-elevation-z0: none;
+ --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+ 0 1px 1px 0 var(--jp-shadow-penumbra-color),
+ 0 1px 3px 0 var(--jp-shadow-ambient-color);
+ --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+ 0 2px 2px 0 var(--jp-shadow-penumbra-color),
+ 0 1px 5px 0 var(--jp-shadow-ambient-color);
+ --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+ 0 4px 5px 0 var(--jp-shadow-penumbra-color),
+ 0 1px 10px 0 var(--jp-shadow-ambient-color);
+ --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+ 0 6px 10px 0 var(--jp-shadow-penumbra-color),
+ 0 1px 18px 0 var(--jp-shadow-ambient-color);
+ --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+ 0 8px 10px 1px var(--jp-shadow-penumbra-color),
+ 0 3px 14px 2px var(--jp-shadow-ambient-color);
+ --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+ 0 12px 17px 2px var(--jp-shadow-penumbra-color),
+ 0 5px 22px 4px var(--jp-shadow-ambient-color);
+ --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+ 0 16px 24px 2px var(--jp-shadow-penumbra-color),
+ 0 6px 30px 5px var(--jp-shadow-ambient-color);
+ --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+ 0 20px 31px 3px var(--jp-shadow-penumbra-color),
+ 0 8px 38px 7px var(--jp-shadow-ambient-color);
+ --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+ 0 24px 38px 3px var(--jp-shadow-penumbra-color),
+ 0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+ /* Borders
+ *
+ * The following variables, specify the visual styling of borders in JupyterLab.
+ */
+
+ --jp-border-width: 1px;
+ --jp-border-color0: var(--md-grey-400);
+ --jp-border-color1: var(--md-grey-400);
+ --jp-border-color2: var(--md-grey-300);
+ --jp-border-color3: var(--md-grey-200);
+ --jp-inverse-border-color: var(--md-grey-600);
+ --jp-border-radius: 2px;
+
+ /* UI Fonts
+ *
+ * The UI font CSS variables are used for the typography all of the JupyterLab
+ * user interface elements that are not directly user generated content.
+ *
+ * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+ * is applied to a parent element. When children elements, such as headings, are sized
+ * in em all things will be computed relative to that body size.
+ */
+
+ --jp-ui-font-scale-factor: 1.2;
+ --jp-ui-font-size0: 0.83333em;
+ --jp-ui-font-size1: 13px; /* Base font size */
+ --jp-ui-font-size2: 1.2em;
+ --jp-ui-font-size3: 1.44em;
+ --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+ helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+ 'Segoe UI Symbol';
+
+ /*
+ * Use these font colors against the corresponding main layout colors.
+ * In a light theme, these go from dark to light.
+ */
+
+ /* Defaults use Material Design specification */
+ --jp-ui-font-color0: rgba(0, 0, 0, 1);
+ --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+ --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+ --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+ /*
+ * Use these against the brand/accent/warn/error colors.
+ * These will typically go from light to darker, in both a dark and light theme.
+ */
+
+ --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+ --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+ --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+ --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+ /* Content Fonts
+ *
+ * Content font variables are used for typography of user generated content.
+ *
+ * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+ * is applied to a parent element. When children elements, such as headings, are sized
+ * in em all things will be computed relative to that body size.
+ */
+
+ --jp-content-line-height: 1.6;
+ --jp-content-font-scale-factor: 1.2;
+ --jp-content-font-size0: 0.83333em;
+ --jp-content-font-size1: 14px; /* Base font size */
+ --jp-content-font-size2: 1.2em;
+ --jp-content-font-size3: 1.44em;
+ --jp-content-font-size4: 1.728em;
+ --jp-content-font-size5: 2.0736em;
+
+ /* This gives a magnification of about 125% in presentation mode over normal. */
+ --jp-content-presentation-font-size1: 17px;
+ --jp-content-heading-line-height: 1;
+ --jp-content-heading-margin-top: 1.2em;
+ --jp-content-heading-margin-bottom: 0.8em;
+ --jp-content-heading-font-weight: 500;
+
+ /* Defaults use Material Design specification */
+ --jp-content-font-color0: rgba(0, 0, 0, 1);
+ --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+ --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+ --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+ --jp-content-link-color: var(--md-blue-900);
+ --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+ 'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+ 'Segoe UI Emoji', 'Segoe UI Symbol';
+
+ /*
+ * Code Fonts
+ *
+ * Code font variables are used for typography of code and other monospaces content.
+ */
+
+ --jp-code-font-size: 13px;
+ --jp-code-line-height: 1.3077; /* 17px for 13px base */
+ --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+ --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+ --jp-code-font-family: var(--jp-code-font-family-default);
+
+ /* This gives a magnification of about 125% in presentation mode over normal. */
+ --jp-code-presentation-font-size: 16px;
+
+ /* may need to tweak cursor width if you change font size */
+ --jp-code-cursor-width0: 1.4px;
+ --jp-code-cursor-width1: 2px;
+ --jp-code-cursor-width2: 4px;
+
+ /* Layout
+ *
+ * The following are the main layout colors use in JupyterLab. In a light
+ * theme these would go from light to dark.
+ */
+
+ --jp-layout-color0: white;
+ --jp-layout-color1: white;
+ --jp-layout-color2: var(--md-grey-200);
+ --jp-layout-color3: var(--md-grey-400);
+ --jp-layout-color4: var(--md-grey-600);
+
+ /* Inverse Layout
+ *
+ * The following are the inverse layout colors use in JupyterLab. In a light
+ * theme these would go from dark to light.
+ */
+
+ --jp-inverse-layout-color0: #111;
+ --jp-inverse-layout-color1: var(--md-grey-900);
+ --jp-inverse-layout-color2: var(--md-grey-800);
+ --jp-inverse-layout-color3: var(--md-grey-700);
+ --jp-inverse-layout-color4: var(--md-grey-600);
+
+ /* Brand/accent */
+
+ --jp-brand-color0: var(--md-blue-900);
+ --jp-brand-color1: var(--md-blue-700);
+ --jp-brand-color2: var(--md-blue-300);
+ --jp-brand-color3: var(--md-blue-100);
+ --jp-brand-color4: var(--md-blue-50);
+ --jp-accent-color0: var(--md-green-900);
+ --jp-accent-color1: var(--md-green-700);
+ --jp-accent-color2: var(--md-green-300);
+ --jp-accent-color3: var(--md-green-100);
+
+ /* State colors (warn, error, success, info) */
+
+ --jp-warn-color0: var(--md-orange-900);
+ --jp-warn-color1: var(--md-orange-700);
+ --jp-warn-color2: var(--md-orange-300);
+ --jp-warn-color3: var(--md-orange-100);
+ --jp-error-color0: var(--md-red-900);
+ --jp-error-color1: var(--md-red-700);
+ --jp-error-color2: var(--md-red-300);
+ --jp-error-color3: var(--md-red-100);
+ --jp-success-color0: var(--md-green-900);
+ --jp-success-color1: var(--md-green-700);
+ --jp-success-color2: var(--md-green-300);
+ --jp-success-color3: var(--md-green-100);
+ --jp-info-color0: var(--md-cyan-900);
+ --jp-info-color1: var(--md-cyan-700);
+ --jp-info-color2: var(--md-cyan-300);
+ --jp-info-color3: var(--md-cyan-100);
+
+ /* Cell specific styles */
+
+ --jp-cell-padding: 5px;
+ --jp-cell-collapser-width: 8px;
+ --jp-cell-collapser-min-height: 20px;
+ --jp-cell-collapser-not-active-hover-opacity: 0.6;
+ --jp-cell-editor-background: var(--md-grey-100);
+ --jp-cell-editor-border-color: var(--md-grey-300);
+ --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+ --jp-cell-editor-active-background: var(--jp-layout-color0);
+ --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+ --jp-cell-prompt-width: 64px;
+ --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+ --jp-cell-prompt-letter-spacing: 0;
+ --jp-cell-prompt-opacity: 1;
+ --jp-cell-prompt-not-active-opacity: 0.5;
+ --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+ /* A custom blend of MD grey and blue 600
+ * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+ --jp-cell-inprompt-font-color: #307fc1;
+
+ /* A custom blend of MD grey and orange 600
+ * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+ --jp-cell-outprompt-font-color: #bf5b3d;
+
+ /* Notebook specific styles */
+
+ --jp-notebook-padding: 10px;
+ --jp-notebook-select-background: var(--jp-layout-color1);
+ --jp-notebook-multiselected-color: var(--md-blue-50);
+
+ /* The scroll padding is calculated to fill enough space at the bottom of the
+ notebook to show one single-line cell (with appropriate padding) at the top
+ when the notebook is scrolled all the way to the bottom. We also subtract one
+ pixel so that no scrollbar appears if we have just one single-line cell in the
+ notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+ */
+ --jp-notebook-scroll-padding: calc(
+ 100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+ var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+ );
+
+ /* Rendermime styles */
+
+ --jp-rendermime-error-background: #fdd;
+ --jp-rendermime-table-row-background: var(--md-grey-100);
+ --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+ /* Dialog specific styles */
+
+ --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+ /* Console specific styles */
+
+ --jp-console-padding: 10px;
+
+ /* Toolbar specific styles */
+
+ --jp-toolbar-border-color: var(--jp-border-color1);
+ --jp-toolbar-micro-height: 8px;
+ --jp-toolbar-background: var(--jp-layout-color1);
+ --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+ --jp-toolbar-header-margin: 4px 4px 0 4px;
+ --jp-toolbar-active-background: var(--md-grey-300);
+
+ /* Statusbar specific styles */
+
+ --jp-statusbar-height: 24px;
+
+ /* Input field styles */
+
+ --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+ --jp-input-active-background: var(--jp-layout-color1);
+ --jp-input-hover-background: var(--jp-layout-color1);
+ --jp-input-background: var(--md-grey-100);
+ --jp-input-border-color: var(--jp-inverse-border-color);
+ --jp-input-active-border-color: var(--jp-brand-color1);
+ --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+ /* General editor styles */
+
+ --jp-editor-selected-background: #d9d9d9;
+ --jp-editor-selected-focused-background: #d7d4f0;
+ --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+ /* Code mirror specific styles */
+
+ --jp-mirror-editor-keyword-color: #008000;
+ --jp-mirror-editor-atom-color: #88f;
+ --jp-mirror-editor-number-color: #080;
+ --jp-mirror-editor-def-color: #00f;
+ --jp-mirror-editor-variable-color: var(--md-grey-900);
+ --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+ --jp-mirror-editor-variable-3-color: #085;
+ --jp-mirror-editor-punctuation-color: #05a;
+ --jp-mirror-editor-property-color: #05a;
+ --jp-mirror-editor-operator-color: #a2f;
+ --jp-mirror-editor-comment-color: #408080;
+ --jp-mirror-editor-string-color: #ba2121;
+ --jp-mirror-editor-string-2-color: #708;
+ --jp-mirror-editor-meta-color: #a2f;
+ --jp-mirror-editor-qualifier-color: #555;
+ --jp-mirror-editor-builtin-color: #008000;
+ --jp-mirror-editor-bracket-color: #997;
+ --jp-mirror-editor-tag-color: #170;
+ --jp-mirror-editor-attribute-color: #00c;
+ --jp-mirror-editor-header-color: blue;
+ --jp-mirror-editor-quote-color: #090;
+ --jp-mirror-editor-link-color: #00c;
+ --jp-mirror-editor-error-color: #f00;
+ --jp-mirror-editor-hr-color: #999;
+
+ /*
+ RTC user specific colors.
+ These colors are used for the cursor, username in the editor,
+ and the icon of the user.
+ */
+
+ --jp-collaborator-color1: #ffad8e;
+ --jp-collaborator-color2: #dac83d;
+ --jp-collaborator-color3: #72dd76;
+ --jp-collaborator-color4: #00e4d0;
+ --jp-collaborator-color5: #45d4ff;
+ --jp-collaborator-color6: #e2b1ff;
+ --jp-collaborator-color7: #ff9de6;
+
+ /* Vega extension styles */
+
+ --jp-vega-background: white;
+
+ /* Sidebar-related styles */
+
+ --jp-sidebar-min-width: 250px;
+
+ /* Search-related styles */
+
+ --jp-search-toggle-off-opacity: 0.5;
+ --jp-search-toggle-hover-opacity: 0.8;
+ --jp-search-toggle-on-opacity: 1;
+ --jp-search-selected-match-background-color: rgb(245, 200, 0);
+ --jp-search-selected-match-color: black;
+ --jp-search-unselected-match-background-color: var(
+ --jp-inverse-layout-color0
+ );
+ --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+ /* Icon colors that work well with light or dark backgrounds */
+ --jp-icon-contrast-color0: var(--md-purple-600);
+ --jp-icon-contrast-color1: var(--md-green-600);
+ --jp-icon-contrast-color2: var(--md-pink-600);
+ --jp-icon-contrast-color3: var(--md-blue-600);
+
+ /* Button colors */
+ --jp-accept-color-normal: var(--md-blue-700);
+ --jp-accept-color-hover: var(--md-blue-800);
+ --jp-accept-color-active: var(--md-blue-900);
+ --jp-warn-color-normal: var(--md-red-700);
+ --jp-warn-color-hover: var(--md-red-800);
+ --jp-warn-color-active: var(--md-red-900);
+ --jp-reject-color-normal: var(--md-grey-600);
+ --jp-reject-color-hover: var(--md-grey-700);
+ --jp-reject-color-active: var(--md-grey-800);
+
+ /* File or activity icons and switch semantic variables */
+ --jp-jupyter-icon-color: #f37626;
+ --jp-notebook-icon-color: #f37626;
+ --jp-json-icon-color: var(--md-orange-700);
+ --jp-console-icon-background-color: var(--md-blue-700);
+ --jp-console-icon-color: white;
+ --jp-terminal-icon-background-color: var(--md-grey-800);
+ --jp-terminal-icon-color: var(--md-grey-200);
+ --jp-text-editor-icon-color: var(--md-grey-700);
+ --jp-inspector-icon-color: var(--md-grey-700);
+ --jp-switch-color: var(--md-grey-400);
+ --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+ -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+ display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+ overflow: hidden;
+}
+
+.jp-InputArea-editor {
+ overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+ padding: var(--jp-code-padding) 4px;
+ margin: 0;
+
+ font-family: inherit;
+ font-size: inherit;
+ line-height: inherit;
+ color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+ line-height: inherit;
+ font-family: inherit;
+}
+
+.jp-RenderedText pre {
+ color: var(--jp-content-font-color1);
+ font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+ display: none;
+}
+
+@page {
+ margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+ .jp-Cell-inputWrapper,
+ .jp-Cell-outputWrapper {
+ display: block;
+ }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+ init_mathjax = function() {
+ if (window.MathJax) {
+ // MathJax loaded
+ MathJax.Hub.Config({
+ TeX: {
+ equationNumbers: {
+ autoNumber: "AMS",
+ useLabelIds: true
+ }
+ },
+ tex2jax: {
+ inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+ displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+ processEscapes: true,
+ processEnvironments: true
+ },
+ displayAlign: 'center',
+ CommonHTML: {
+ linebreaks: {
+ automatic: true
+ }
+ }
+ });
+
+ MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+ }
+ }
+ init_mathjax();
+ </script>
+<!-- End of mathjax configuration --><script type="module">
+ document.addEventListener("DOMContentLoaded", async () => {
+ const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+ // do not load mermaidjs if not needed
+ if (!diagrams.length) {
+ return;
+ }
+ const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+ const parser = new DOMParser();
+
+ mermaid.initialize({
+ maxTextSize: 100000,
+ startOnLoad: false,
+ fontFamily: window
+ .getComputedStyle(document.body)
+ .getPropertyValue("--jp-ui-font-family"),
+ theme: document.querySelector("body[data-jp-theme-light='true']")
+ ? "default"
+ : "dark",
+ });
+
+ let _nextMermaidId = 0;
+
+ function makeMermaidImage(svg) {
+ const img = document.createElement("img");
+ const doc = parser.parseFromString(svg, "image/svg+xml");
+ const svgEl = doc.querySelector("svg");
+ const { maxWidth } = svgEl?.style || {};
+ const firstTitle = doc.querySelector("title");
+ const firstDesc = doc.querySelector("desc");
+
+ img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+ if (maxWidth) {
+ img.width = parseInt(maxWidth);
+ }
+ if (firstTitle) {
+ img.setAttribute("alt", firstTitle.textContent);
+ }
+ if (firstDesc) {
+ const caption = document.createElement("figcaption");
+ caption.className = "sr-only";
+ caption.textContent = firstDesc.textContent;
+ return [img, caption];
+ }
+ return [img];
+ }
+
+ async function makeMermaidError(text) {
+ let errorMessage = "";
+ try {
+ await mermaid.parse(text);
+ } catch (err) {
+ errorMessage = `${err}`;
+ }
+
+ const result = document.createElement("details");
+ result.className = 'jp-RenderedMermaid-Details';
+ const summary = document.createElement("summary");
+ summary.className = 'jp-RenderedMermaid-Summary';
+ const pre = document.createElement("pre");
+ const code = document.createElement("code");
+ code.innerText = text;
+ pre.appendChild(code);
+ summary.appendChild(pre);
+ result.appendChild(summary);
+
+ const warning = document.createElement("pre");
+ warning.innerText = errorMessage;
+ result.appendChild(warning);
+ return [result];
+ }
+
+ async function renderOneMarmaid(src) {
+ const id = `jp-mermaid-${_nextMermaidId++}`;
+ const parent = src.parentNode;
+ let raw = src.textContent.trim();
+ const el = document.createElement("div");
+ el.style.visibility = "hidden";
+ document.body.appendChild(el);
+ let results = null;
+ let output = null;
+ try {
+ const { svg } = await mermaid.render(id, raw, el);
+ results = makeMermaidImage(svg);
+ output = document.createElement("figure");
+ results.map(output.appendChild, output);
+ } catch (err) {
+ parent.classList.add("jp-mod-warning");
+ results = await makeMermaidError(raw);
+ output = results[0];
+ } finally {
+ el.remove();
+ }
+ parent.classList.add("jp-RenderedMermaid");
+ parent.appendChild(output);
+ }
+
+ void Promise.all([...diagrams].map(renderOneMarmaid));
+ });
+</script>
+<style>
+ .jp-Mermaid:not(.jp-RenderedMermaid) {
+ display: none;
+ }
+
+ .jp-RenderedMermaid {
+ overflow: auto;
+ display: flex;
+ }
+
+ .jp-RenderedMermaid.jp-mod-warning {
+ width: auto;
+ padding: 0.5em;
+ margin-top: 0.5em;
+ border: var(--jp-border-width) solid var(--jp-warn-color2);
+ border-radius: var(--jp-border-radius);
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ white-space: pre-wrap;
+ word-wrap: break-word;
+ }
+
+ .jp-RenderedMermaid figure {
+ margin: 0;
+ overflow: auto;
+ max-width: 100%;
+ }
+
+ .jp-RenderedMermaid img {
+ max-width: 100%;
+ }
+
+ .jp-RenderedMermaid-Details > pre {
+ margin-top: 1em;
+ }
+
+ .jp-RenderedMermaid-Summary {
+ color: var(--jp-warn-color2);
+ }
+
+ .jp-RenderedMermaid:not(.jp-mod-warning) pre {
+ display: none;
+ }
+
+ .jp-RenderedMermaid-Summary > pre {
+ display: inline-block;
+ white-space: normal;
+ }
+</style>
+<!-- End of mermaid configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Resit-23/24-Q1">Resit 23/24 Q1<a class="anchor-link" href="#Resit-23/24-Q1">¶</a></h1><h1 style="position: absolute; display: flex; flex-grow: 0; flex-shrink: 0; flex-direction: row-reverse; top: 60px;right: 30px; margin: 0; border: 0">
+<style>
+ .markdown {width:100%; position: relative}
+ article { position: relative }
+ </style>
+<img \="" alt="No description has been provided for this image" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/tu-logo/TU_P1_full-color.png" style="width:100px"/>
+<img \="" alt="No description has been provided for this image" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/mude-logo/MUDE_Logo-small.png" style="width:100px"/>
+</h1>
+<h2 style="height: 20px">
+</h2>
+<p><em><a href="http://mude.citg.tudelft.nl/">CEGM1000 MUDE</a></em></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Exercise-1:-Programming">Exercise 1: Programming<a class="anchor-link" href="#Exercise-1:-Programming">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>A. You are discretizing a single-valued differential equation $f(x,t)$ in time and pre-allocating a list or array to store the results at each time step. Which of the following commands is appropriate?</strong></p>
+<ul>
+<li>np.linspace(0, time_max, n_point)</li>
+<li>np.discretize(0, time_max, n_point)</li>
+<li>range(0, time_max)</li>
+<li>range(0, time_max, n_point)</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<ul>
+<li>np.linspace(0, time_max, n_point)</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>B. Which of the following methods is the best method to provide information on the rows and columns of a Pyhton object?</strong></p>
+<ul>
+<li>sort()</li>
+<li>shape()</li>
+<li>size()</li>
+<li>dimensions()</li>
+<li>rows_and_columns()</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<ul>
+<li>shape()</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>C. Sketch the file structure of a typical weekly MUDE repository that includes at least three key file types or directories. Inlcude a short explanation and description of each item listed. Your answers should demonstrate how files in the MUDE repository were generalaly organized and used.</strong></p>
+<p><em>Note: if you are from the 2022-23 (MUDE year 1) you do not need to answer this question (write your year in the space provided).</em></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<p>A good answer would have listed several file types or directories and clearly explained what they were used for. For example, a <code><span>*</span>.ipynb</code> file was used to conduct analysis and execute code, or a <code><span>*</span>.md</code> file was used to answer project questions.</p>
+<p>A bad answer would have listed directories and files in an arbitrary way and provided a vague set of words that may or may not loosely correlate to specific things that happened to have occurred during the semester, but do not form any sort of coherent explanation about our activities.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Exercise-2:-Estimation-and-uncertainty-propagation">Exercise 2: Estimation and uncertainty propagation<a class="anchor-link" href="#Exercise-2:-Estimation-and-uncertainty-propagation">¶</a></h2><p>The height of a point is observed 5 times at a monthly interval, all observables are independent; see figure. It is assumed that the point is subsiding at a constant rate $v$.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>A. In the figure below, sketch the estimated linear trend line and confidence intervals assuming:</strong></p>
+<ul>
+<li><strong>the initial height $x_0$ at $t_1=0$ is <em>unknown</em> and estimated with best linear unbiased estimation; and</strong></li>
+<li><strong>the subsidence rate is <em>known</em> to be $v=-0.2$ m/month.</strong></li>
+</ul>
+<p><em>Note that no calculations are required for this question. You may assume an arbitrary confidence level, and importance should be placed on the shape and relation to trend line.</em></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<p><img alt="image.png" 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"/></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Assume that again the initial height is unknown, but now the subsidence rate is estimated with an independent set of observations, the precision of the estimated rate is $\sigma_{\hat{V}}=0.1$ m/month. The 'corrected' observables are this given by:
+$$Y_i = Y_{i,o}-\hat{V}\cdot t_i$$
+The $Y_{i,o}$ are independent and have a precision of 0.1 m.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>B. Specify the stochastic model with $Y=[Y_1, \dots, Y_5]^T$ as the observables.</strong></p>
+<p>Hint: first write the new observables vector as:</p>
+<p>$ Y=T\begin{bmatrix}Y_{1,o}\\ Y_{2,o} \\ \vdots\\ Y_{5,o} \\ \hat{V}\\\end{bmatrix}$</p>
+<p>where you have to define $T$.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<p>$\Sigma_{Y} = T \Sigma_{Y_o} T^T =
+\begin{bmatrix} 1 & 0 & 0 & 0 & 0 & 0 \\
+ 0 & 1 & 0 & 0 & 0 & -1 \\
+ 0 & 0 & 1 & 0 & 0 & -2 \\
+ 0 & 0 & 0 & 1 & 0 & -3 \\
+ 0 & 0 & 0 & 0 & 1 & -4 \\ \end{bmatrix} 0.1^2 I_6
+\begin{bmatrix} 1 & 0 & 0 & 0 & 0 & 0 \\
+ 0 & 1 & 0 & 0 & 0 & -1 \\
+ 0 & 0 & 1 & 0 & 0 & -2 \\
+ 0 & 0 & 0 & 1 & 0 & -3 \\
+ 0 & 0 & 0 & 0 & 1 & -4 \\ \end{bmatrix}^T$</p>
+<p>$\Sigma_{Y_o}$ is the covariance matrix of the vector with original observables and estimated rate, which all have a precision of 0.1.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Exercise-3:-Observation-theory">Exercise 3: Observation theory<a class="anchor-link" href="#Exercise-3:-Observation-theory">¶</a></h2><p>The concentration of particulate matter (PM10) is observed 6 times in a row: 3 times with device A and 3 times with device B. The observations are all assumed to have the same standard deviation of 1 $\mu\hspace{-0.1cm}$ g/m<sup>3</sup> and to be independent. Furthermore, it is assumed that the actual (true) concentration of PM10 did not change during the time that the 6 observations were made.</p>
+<p>The observations from device A are: 26, 27 and 23 $\mu\hspace{-0.1cm}$ g/m<sup>3</sup>, respectively.
+The observations from device B are: 30, 29 and 27 $\mu\hspace{-0.1cm}$ g/m<sup>3</sup>, respectively.</p>
+<p>It needs to be tested whether or not there is a constant offset between the observations of the 2 instruments. The null-hypothesis $\mathcal{H}_0$ is that there is <strong>no</strong> offset and the PM10 is constant during the time of the observations. The alternative hypothesis $\mathcal{H}_a$ reads that PM10 is constant during the time of the observations but that there is a constant offset $\nabla$ between the observations of both devices.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>A. Specify the functional and stochastic model under the two hypotheses.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<p>$\mathcal{H}_0: \mathbb{E}(\begin{bmatrix}Y_1\\ Y_2 \\ Y_3 \\ Y_4 \\ Y_5 \\ Y_6 \\ \end{bmatrix})=\begin{bmatrix} 1 \\ 1 \\ 1 \\ 1 \\ 1 \\ 1 \\ \end{bmatrix} \begin{bmatrix} x \end{bmatrix}$</p>
+<p>$\mathcal{H}_a : \mathbb{E}(\begin{bmatrix}Y_1\\ Y_2 \\ Y_3 \\ Y_4 \\ Y_5 \\ Y_6 \\ \end{bmatrix})=\begin{bmatrix} 1 & 0 \\ 1 & 0 \\ 1 & 0 \\ 1 & 1 \\ 1 & 1 \\ 1 & 1 \\ \end{bmatrix} \begin{bmatrix} x \\ \nabla \end{bmatrix}$</p>
+<p>For both hypotheses the stochastic model is $\Sigma_Y = I_6$.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>B. Apply the appropriate test to check the validity of $\mathcal{H}_0$ with false alarm probability $\alpha=0.005$. Explain whether or not $\mathcal{H}_0$ is accepted?</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<p>$\hat{x} = (A^T \cdot I \cdot A)^{-1} A^T \cdot I \cdot y = \frac{1}{6} \sum_{i=1}^6 y_i = 27$</p>
+<p>$\hat{\epsilon} = y - A \hat{x} = \begin{bmatrix} -1 & 0 & -4 & 3 & 2 & 0 \end{bmatrix}^T$</p>
+<p>$T_5 = \hat{\epsilon}^T \cdot I \cdot \hat{\epsilon} = 30$</p>
+<p>$K_{\alpha}=16.75$ (look up in table for $\chi^2$-distribution with 5 degrees of freedom).</p>
+<p>The null-hypothesis is rejected since $T_5>K_{\alpha}$.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>C. Assume now that we used a too optimistic standard deviation, both devices in fact have a precision of 3 $\mu\hspace{-0.1cm}$ g/m<sup>3</sup>. Show/explain how this affects the decision in the previous question.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<p>Here the value of the test statistic was computed as $T_5 = \hat{\epsilon}^T \cdot I \cdot \hat{\epsilon}$, whereas it should have been $T_5 = \hat{\epsilon}^T \cdot \frac{1}{3^2} I \cdot \hat{\epsilon}$ (note that the estimated parameters are not affected by the different standard deviation). Hence, the test statistic should have been divided by 9, resulting in a value which would have been smaller than the critical value and thus in acceptance of $\mathcal{H}_0$.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Exercise-4:-Numerical-modelling">Exercise 4: Numerical modelling<a class="anchor-link" href="#Exercise-4:-Numerical-modelling">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>A. For an arbitrary function $f(x)$ that is continuously differentiable, derive the Forward Euler approximation, beginning with a Taylor series expansion. Express your answer in a series of steps with a short description (1 sentence max) of each step to go along with the derivation. Include a sketch that illustrates how the Forward Euler expression approximates the arbitrary function $f(x)$; label the figure appropriately.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<p>Note: the notation here can vary from your answer, as we used several ways of representing the increment during the year (e.g., $h$ versus $\Delta x$).</p>
+<p>Given the Taylor series expanded about a point $a$, namely:</p>
+<p>$f(a)+f'(a)(x-a)+\frac{f''(a)}{2!}(x-a)^2+O$.</p>
+<p>Let's consider $(x-a)=\Delta x$ where $\Delta x$ is an incremental step in the $x$ direction and expand the series at any arbitrary point $x$. We can equivalently restate the Taylor series as</p>
+<p>$f(x+\Delta x)=f(x)+f'(x)\Delta x + f''(x)\frac{\Delta x ^2}{2!} + ...$</p>
+<p>Truncate the series to isolate the approximation of first derivative to find</p>
+<p>$f(x+\Delta x) \thickapprox f(x) + f'(x) \Delta x$</p>
+<p>Rearranging to approximate the first derivative (and dropping the $\thickapprox$ symbol), we find</p>
+<p>$f'(x) = \frac{f(x+\Delta x)-f(x)}{\Delta x}$</p>
+<p>In practice, we use this formulation to determine the next (forward) point by using this approximation to approximate the slope at a point, and use this to extrapolate the next by</p>
+<p>$f(x_{n+1})=f(x_n)+f'(x_n)\Delta x$</p>
+<p>Which effectively determines the point forward by approximating the slope at a point $x$ to estimate the function over a step $\Delta x$.</p>
+<p>Graphically, the forward Euler estimates the slope at point $\Delta x$ and uses the slope to estimate the following point ($x + \Delta x$).</p>
+<p><img alt="image.png" 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+<p><em>The next questions are completely unrelated to the previous question.</em></p>
+<p>A colleague has mentioned that they are working on processing data from a sensor that appears to behave like a damped harmonic oscillator. They decided to model the sensor output using an explicit method. They mention that there is some instability, but don't know how to fix it. Consider the sketch provided by your colleague and then answer the following questions. The figure shows a numerical analysis ("Line 1") compared with the sensor output $y(t)$ ("Line 2").</p>
+<p><img alt="instability_sketch.png" 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qFDh6ZKlQqNmyBBAqks3b/yvpRFnIhEl76yVaBAAf4wdu3axRKUnaeZIcMwDMMwDOMNAacREdWxY0f0FeIKr9L5TlYxLlFZRIoUKdK/f383dyzAYJRs+tsjJeJ+8L9Ez6bw3LlzEyZM6NKlS5UqVXx8fAICAho2bNi8efMxY8bMnj37559/vnDhgnK6Jh4CeQgRNp06dULAeDcw9OIDJFauXLmUQu+QOpUqVZo2bVpkZKSKPwtoM8Jv6tSpjHCaNGnQfvqWEG0gguhSCrNw/vz5R3YwBkxoPRjWhJT6pEmT4sWLp1e3I6V05woQV97LBtFXntBi9fBnwIpB/UdfrK5dwzAMwzAMw3gQ8htROKGhoSVLlkR4oEby589fqFChokWL4mHq54aHDx8es2+pTwlPnz69bt06dNHEiRM//fTTZcuWnTp1ynNNCe/hzJkze/bs2bVr14wZM/QO9IwZM+peE84t0B6gJb6+vt26dVu+fLnural4VN1/o0tCJNMvv/zSrFkzNJW+j0MExYVZ4tjEOBURVwfp6ciRI5/yy1Exg2UGYePGjdWqVaODVK2WILToHQ1D3+bLl48ROH78ODndYo+PCa0HozENCwurV68e8gmxmzZtWuRWggQJ0FToK4G4SpkypVKkvv75z38yPaVLl167di0WmMhnt0oMwzAMwzCM1wb5jUePHq1bt27x4sWRHHj/CC29dVDxUqVKzZo162HuJem6VUCIvKlcubLepIdskEDq0aMHQg5HV76uMiuyadOmNm3a4PoGBATkzp2bUvi00iEoENSRIpDJ+T1fUpBP1OJZiGrB36gNly5d+vLLL/39/WkA1iiFZVqC8fTp02OcFDqlG0rkocuEmN2yZYvMPguwDIcPH65Tpw5VM7BAAwil+mgDA96yZcsDBw48TTNMaD0YxjQiIqJ///4sBRYBa1TfywJ0F4KKiELd5kJr6SWEfJoqVSrW8dy5c1nBzjxG4do1DMMwDMMwjAchpxEBUKNGjSJFiqCvpLJw/VEmeKTEAwMD9+zZI5n0QPgIhbNy5UofH580adIgb9APWMA7zZIlC0pm8+bN0lce169fX7ZsWUhIiNRU2rRpJYEoRQRnmDj6ioggHUECqL6hQ4eePXuWerGjBgiaQUUffPBBxYoV1YCUKVNiDdQXoCLklj6lat1HopHVqlVbvHixa+gZQFNp3qlTpxo2bEjVNAComjYw4MSlbBGcP//88z0C8rEwofVgmIDdu3eXLFkSiYWUQkd5L8CQ0ErivN4diJCon9WSDGPFsBZnzZqFHWYR7ll5hmEYhmEYhnEPeIywf//+qlWromG8u1g4luglZAAip3r16hcvXsS9dMvcBxYOHTqEHkOxqAgR7BDmzp0bz3bgwIE3b94km9xUPN5PP/20Vq1aZKAiPURXqFAhdJTiRFAjxLHGJXmIkIgywaCfn9+8efPu3LmDQbcFDhcuXGjUqBEZVDvtR1YhsfCZidAqCS1SJHV0iwzjCMK6det+++23MfTx6cG47hxSu3pHdxhqIFKsWDG0VoUKFdB79/TrsTCh9V8YcYbSY9SoUazFTJkySUEhqAiRW4DQ0i0sCS0ykDNVqlSkJ0yYUPG+fftqzcmsW4dhGIZhGIZhPAhJi61bt+LllyhRAqcfoYLwQIEgBhSioG7cuKH894OFu3fvjh07Ft0CGTJkQEKoLBHAj61Xr15YWJjj7f515MiR9u3blyxZEnUhlYXy8aSRbl4hh/CHSZc1sgEGgSrI+c4772BH7q7M/vnnn4sWLSpevDhFgOL6iar06dMTYhkLpOvpQeLUAkQwiMgJDg6eM2eODD4jML5jx44qVarQfqqmX8hahtqDwa9UqdIPP/zgFngiTGj9F0acpckChQMHDpQvX163p1gZuq8F0vpocX0jC6GF4iJOThYuoSLk5C/k0KFDWiLPdKEYhmEYhmEYrwG4oISTJ0/G9Uf54EwSQQng9OOC4pGibVq0aHH/7SMP0s+ePRsaGoo60r/+kRB5nfenS04gbGrXrk0e6sLOpEmTypUrRxVoId1fQv8oQnUkUkQaCVNE0EikkA6IQHQRlzVq1FiwYIEesaMBmF23bh1iiY/IL0camzjVjuyKepc6kBL1+KDzHTC1TfkROSEhIatXr36m/jOtXbZsmSe0GO1ChQoxzoQMuye0vv7666dphgmt/4GhhMjIyO7duyOWmHuEE7KKtYWgYn0wDehdlgif6taWbnMpGyuGSzJzyYLeuHEji1g23QoMwzAMwzAM40HgMSIA+vXrhzTC0c+ePTtup0QIzid+JpGuXbuiZKRq7gcLJ06cCAoKoqzEEgURRTly5MCtRa2Bj4/Prl27yHno0KHmzZujK/gIP9bzZnFlcXQpTmZ9hB2FXEp0cYnKwjLuMVpl+PDhN2/epAG4vnv37u3UqZMeOKQI+WmDV4r8lCLFs8Yl/aIu1Uh72rRpc+TIEfXoGUH3d+7cWadOHVpCM4oUKYK4wntHaJVyYABpydixY6V+nwwTWv+FERe7d+9m6aCsgHWWJEkSpBQhC4LpR2pr/bEckVVoLeKkeIlECFnQgwcP1s+cPc0MGYZhGIZhGG8COI13795t27YtggSPH+FRvHhxNADihBT0QO7cudEwV69efZhviYWzZ882a9YM8YOEwCmVetEdJBza1KlTIydWrFihH5KqWrUqTi+JqB0y4MGSB6iO4tSL9ysjhFxKIOkOFeqIdCIY7Nmz57lz56idNmA8ODhY99D41FNTRCiLEdkhkUtQCyXbCMuVK/fJJ5/cvn1b1p4RKNVjx44xULSE7kjm0eaSJUsWLVqUwceT53LIkCE4826Zx8eE1n+RItqyZYufn5+3FBh0VhurBBGlm1dMBqsQDaZvZxEmcH7LGMhAipZm/Pjx8+XLt23bNmw+04ViGIZhGIZhvAbgMV65cqVBgwZ4kugrhAdaJXv27Hik+KK4/sin/v37x3xHa/v27RUqVMCDlctKBPUibYObymWxYsU2b96Mfhg4cCBCCzlBTlWBE4uvSykvjksskQbkESRKGmGTJiFOEId79uyhdli8eHGtWrUKFy5Mg6mOgmSjL4RcUpwUIkAVVI3LLYlFZ8mD0NIXtMDt1TMA/xxl2KtXL4aXSukRupE26636RIAp6Nu3LzPiNeZxm2RC678w4rdu3fLx8WF5MdwsAqacECmFrEqYMCHprAYEvSQWkI644jKRgxJZLqSzYijCssPmw/7rYBiGYRiGYRgCPx63vk2bNnnz5tWPaEllIXVwLLnE+x8wYAC+ZQwe/9SpU1EOckclafBddauAEOcWGXbkyJGLFy927doVVZM7d27SvdtWuLKEFMTvRQhRtdKJCyyTiIiiFmwSp7U1a9acNm0a8o+GLVu2jEvUFxIOO5SlSJSuclQWHcHN9qQdiTKi2240z9fXd9GiRXTkcVVN7MEy3LhxY/jw4QUKFEBi0R0pPdrMyJcoUUJf1nrvvfcuXbpE5ie7cWJC678wgqtXr9a9QlYAy4sFRIiOYokQIZTKl7JiIXLpSSwSlRPix49PNpYOE+b9jpthGIZhGIZhPAw8Rtz6jh07FitWTI4+fj9OqTRA/vz5UQXvvPPOtWvXYvAtv/rqK5QDRRAw6CL5qPilgo8qV6588uTJAwcO1K1bF/GGv0o2KTH5segi4BJPGDtk0B0IipOo9iCuKItqkuiqUqUKmkTvnV+8eHGNGjV0Lw5rGMeO9JUElXdPTIlYxiBGSKHX77777tmzZx92yy4OiYyMnDVrVqlSpRhkBpaW0E7aTBv0lS3kVs+ePX/99Vc6JdySscaE1n/Zs2dPxYoVWVj650HSpEkZd5YRS4RVRTrrjJDlwjpjyaKvEjto+ZJfkJnFmiBBAkXatGmjbwcahmEYhmEYxsNAPp05c6Zt27bFixdHqODu53N+wBcNkDt3boQW4PrrV7DcMv/L7du3+/bti06jII4rDip+rO4T4KMSQc8EBARQy/bt2+vVq4dZqR38WxxX6SIggjMsdYc2Ixt5pLKII7GI4BVLZVEXsiQoKOi3335DjaxcuRLv18sDdAEjyBiahFmME+dTJBaXxPlU1KpVa9myZboz9gTCJvZgHxYsWEDLqVfvuqNJjIZuJzKGjH9wcPCnn356/PhxMj+B9nvThZamkLE7ePAgQ6lbUgw0sCJZWywmFgELS0tBy4WVmsx5blDPE4LublEcfYUF8pCIEiOCbJsyZUqUCrYvaxmGYRjGywpnNCf1c/g/uvEyo2Ugny16GB036zOAus6fP9+5c2dcfAQMPiRSBxAAuKZZs2YlJTQ0FJl0TzO8hh0+fLhZs2aIB4rgi+KdSjgpjkOLnfr1669evXrmzJlEcHSRGegf5SQD/q1XEIFEjZgCecKSTEAcKEgKNgmrVaumx7jowrhx40qWLElZCTnyKxv5peuIE8EmUo08NJhuom2GDBly69at6D2KW7zZJIIoHTFiBBKLdqqbNJIRIERrFS5cmI/Kli2LaFy4cOGdO3co7pVVKJsx8KYLLSnmo0eP1qlTh/HVwmLKmX7iWkYMtyKoJtactD7ZiKCvgMvEzusHgdUZJcXSpGHp/Otf/+IjCjJVu3fvZj5iMyWGYRiGYTx/5DnZSf2GE+VHO/69Ih73fPqMwPilS5c6deqUx3llHyC30Ff4ooAyyZUrl5+fn+75uGUcvIZt2bKlQYMG+fLlw03FWU3ivDpbjiuOLg4qfmnFihX79ev37rvvVqlShSpIIYN8V0oRgko5Lm3UI13koXYgwiUZsCaDkiik40vrJ2Rh7969tWrVQjhhnzbTHT2CCBihL1gggsuNj00fEZY+Pj5Imp07d9KLu3fvqjtxi9oG4eHhKNKvvvqqevXq+fPnx+2n/QoZASQA7j2Ki4bRfoarf//+ePJoLcqyRXiha/fh2KODUVpr8uTJrACmXDKJRcDgMsoadCBFg87oc8mnLFzWHykSV6weZoJEIA9G+JQiCRIk0IoMDAw8fvy4bd+GYRiG8dIS5YI9SzfaePnRGogS3P/5T2Rk5K1bt1A+ERERXOojcLM+A6hF39FCnCAAdJ8HWYIacWROlERBkwwdOjQsLMwt4+C27K+/Fi5c6O/vTykcUWSMpxmQQ5RFPmEkd+7cXbp0ad26dY0aNagFx5UMkliUIsSP1Y0EEnFiKYtBXGWEB8WRVTjD5MHFBd2tImfz5s1pFW2gF+fOnUMulixZknSKS7GQU2WxSXGaRyKfklK8eHH04YQJE5BA6s6zuLeMWSZ0z54906ZNa9u2beXKlVGk9IjO0jAitIrG0GbGjbGid7S8UKFClSpVQmutW7fuxo0bUaPs4BqNkTddaDFMv//+u5+fH1POaDK+jKxElNQ5SwcYZS0j1j1TwprQfVVCpBSZUeElSpSgYOLEiUkH5oyVSooWKHM2aNCgWM6KYRiGYRiG8ULAW7t79+6hQ4cWLVo0fvz4AQMGLFmy5Pz58+gHN8czgyqoqE2bNmghHE69cAI1gibBKSVS2HlneuPGjbds2eKWcYhy/B2F8+WXX1aoUIGCnhMrRYQdPFK8UymlKlWqIGyQZAgtVBbgskpc4cRKaShCKRqju1ISWlgDlcLXpQqax0cIrbNnz+pm1J07dz777LOqVatSlxpPk6iLiBxsCpKud2AUKFCgWLFioaGhCxYsQMmghfQ7tOB2L464ePHi2LFjAwICSpUqRXvQsTSeDkpSAq1CaHFJonqH/0/faXPRokXRZrNnz9abSGLZtjdRaLEKAaFMuH379s6dOyNV0ULMOsIJpZQwYULGmhRWAKuTOWCIGegyZcqgaBlrRp+c5GFFkh/Jy9InUWtURpROHt175SNk/d69e/WwIiG4DTIMwzAMwzAeBzm7wrt8YPo9ifIDiXjpuiTEN0NfLV++fOrUqd26datZsyaOX9myZZs1a/bpp5+ibSIjI+W/eRbiFmz+8ccf6Ci8UOQNYgB5gyOKj4pTSiKaBHGCLEHGoEnu6QiRKVOmVK5cWdqAnOgi1ALg0EYpiVSppHOQDdWqVcMOefSRlBV+LKFuPEh3yRPGDUYRSTLJEyZEk2CfVtFOGhYUFHTgwAGapPb8/PPPTZs2RcxQBCNSaxTkUu0hwiWJSEqgPWjaL774YtSoUZMmTZoxY8ZPP/3EaHhdezJU/Pr167/88kv//v1pKlXTawaWOF2jC3Qfd53G0CM+5VIRBoFP6TWdLV26NCq3Xbt2mzZtUh8VxsybKLQ04rB169bq1auzArRwGWspWml0BleSSXelGHGWy3fffdeiRYtEiRKR0xNUQIpEl0oBl8C0AYlAHv5WFy9ezF8pcxOb6TEMwzAMwzDuQY4crhSyRz6VLqOnKw7epyTicF+9ejUsLOz48eO//fbbxo0bV61aNW/evKFDh+Llv/POO6iUihUr4rAVL14cXxz/EIiQjpO9cOFC7zesHNtxrLUweOnSpT59+uCdImwQJ3rJux6xw+nHw8QF5bJBgwZ688Q9zJo1y8/PDwmh2184t1JHQHEEBpIJCSF1RMinyB68XxIB454bDJIc5KExuv8DlMIOAokq+Ig4jSxVqhRO9bJly+iFBpyOjBgxgkSyYYfaPWgMBTFFWTWARMQMNvVqdV9fXwYcoYvo0uOIoCF6XCiIWuvXrx+amXmkMdRC1YQML/XSa5qnJnGpxgDOP548H+lTus94BgcHz58/31tpbh0P5w19dJABAv7AWGSMHauKZceAaihZWKgjjTtDjNBi7slTtWrV3bt386cYL148MrPWyUlIBg8micxMEhlYppTCiLN03f8WMMFz586N4Se9DcMwDMMw3ljkwnq4qf+L+5nzVoMzZ86cOnXq0KFD+NMnTpxAO02cOHH06NFffvnlN39DCgwfPvytt95q27ZtkyZNcOqQUiVKlMifPz/eoG7O4PcTlitXDne/WLFiSCy511ziKOKmU+qnn35y63bEm9ugOAKb+Ie0vHz58ogBGobkK1OmDJKAFup/96Tny5evQoUKaCo5tCqo9vz4448ILTLQcorTI/Kra4rjkeKm0heUBulc4qzKMp6qVJYSiVCpKFq0aOnSpZFbWKC4RgPFRQp2qEhvs1i8eLGaQUhHtm/f/v777yOZcI9xgCkLlMXZxlsmLm1D7/SFNGlaoPt0kLB+/frffffd07wbg2Z8/vnn6EB6gWVGhtppDHFaTmLULZG/38dIY+gdGYgoZNCIkEgjGYFmzZotWbJEHXQriJHHEFrewMXStFD+e4h9+54FVM2g04bZs2ezLFhMjKAkE7KKoWRtcallx7gTUQp/jYsWLeJP9B//+AeZgU+lxHRHizzMBwuIpcPc8CkpsoApamE9kblkyZLTp0+P/h8RNcwwDMMwDOO1xPN5cMAUQSNdvXpVPwkFJOKehYWFHT58GOF05cqV8+fPE+p/05TC27548eK5c+dIv3DhwrFjxxAVAwYMaNGiBdqpcePGHTt27NGjR926dVFQiBP8e0L8dZSS99ibIzeikBuNw02I5wa43Xjh8sWREGSgFI4ikIKWIBFTY8aMkd+vjsQtMou0qFixIg1GeKAQqBRZIq+SVpFIY6pUqTJnzhxaQn5n/KJgoH744Qe94oLG02DkAXbwS3VJN7GAr0uP+Ig4PiqWkVhyenVjgAzUCGRQBKHFODBEGNEAakwktDRo9erVQ+V68wuRkZG///47WouJYKhRMhikDTSJS5BIY77oJqHeUog18uMtI7T8/f2HDh2qr2xpiB6XGzduYAHLVE2zqTqd87wiFdESZp9LPmKI+JRLZWNwSNEAEiGRCEKgZcuWq1ev1pjHZgHEVmg5wxUFRmUdmE734xhREVApIJGQ4t7l80QtOXHiRPPmzVmsjC+DLjmk1Uaou08sCBYQl4wvy+vjjz/m758/aaYBvZQwYULC+PHj6+lB4oDcYqUqDhJjklvA0pFcrlOnzvLlyzUsNOn5D4JhGIZhGMbzAT9H3hchygofDJGA+9unT5/Jkydvd9iwYcOUKVN69uwZEhLSqlWr3r179+3bd/DgwV988QWZ0R5ff/31oEGDunXrxqfNmjVr2LBh2bJl5anjAcsvL126NA4xiXjthQoVwpnGfyODXGrgU3QL4AHi4wk8aTLgVUtFkIJzCKRHv7VFnFpog17zrX6pg3EFBmHt2rWBgYE0I0rkFSlCA/BUaTz9og2IEBLp8rBhw9CcKgIa4b179zJuNWvWpDgCiX7RC8aBrhHX4BDHHWUQsCOzdBbXlxCPV7d0iFOc/PiuwHj6+voi4ahXRiiOuCLCJYPDdMydO1d3EdQSdQetxeT2799fzxCqSYTOYEeNNkaQhcA0YYpLZ34KM5uMdnBw8MqVK9GTGp8n4MyZMwwIo0G/6KwqlYjSpHNJe2gbMCxaDPSLkI4z4JSlICE0bdp037599EsdfCSPd0dLaPgUcT97ON5YI6sY69u3b1+/fp0FSro+0qfPE1X91VdfaXkxvowjEUS87kqhrBBLhPpjQyAxDQEBAZs3b2Z3aNu2LatBgooifMpaJBszwZRQCn2VwAH1RTb9b4Bs5Ed3kZPpRLj36NFjx44datLzHwTDMAzDMIzng/w9vK+zZ8/i9TZp0kSvFkDAVKpUyd/fH8lUoUIFFAXeMKICvwtfC+eebEAe/Hsu9TicPHKcLvwr3GJpKsqShwx8hNmiRYvKgyfiKIWoNx/wKYlkxr4ca9JxqakRa3h9RDAopSGHm0biLkoGUAX+24ABAzyhRY/UwbhCA3XgwAHEJJVSu57Zo4+0kwbTR8ZK2uadd945fvy4itASReD333/v1asXZXE46RSdpTtEgAiDQ6+rVq2KTnv33XfpERWRE09VKkvdB2ktSjEsfn5+s2bNmj59Om4wljUFGmpaggBbsmRJRESEdxMlytV2BocQ//+nn35CVEsbUx0Dy/BSnB7RPIwQoSJCBpkuY59hR21++eWXiDeNjDNCj81vv/3WunVrp/dR3yujaiGJSO20hDhjQhwvXSmCdNpDf9VOFg/KX7fX6FdsmvTYQgvr165di/6ek5ghDzlZBxMmTOjevTtqmD+kzp07L126FNGlT92szwu1HNmtW0yMHSuJNcSSQiYB6VJcLC8SyRAaGjp//vzw8HBmiyLA3zafIs8IycAiYxoqV67M6tHdMIQWsgo7nsQiM4nEqY48rKqePXt6/4pwG2cYhmEYhvF6IT/nypUrvXv3xofGncXrxXPF38WnIkIoLUEK7i9ONp4ViogQfwkHl5BSeFy4W/J99ZEkFiEKBEGiUqTwEXlw2YlgnAg2vUvduKAiGoNNwDiQiOMn/5CPgPyg6vDxMDJmzBj5rs/Cf5NNBurzzz+vVq2apCPQI2qnVfSObtKw6tWr48rqwUsKem45EXz1qVOnBgcHM6Q4n7i4uJ34t0S4pJtVqlTRWz22bt3atWtXaqHjjAnoCzUKUVxEyE8DZsyYgby8ePHizJkz8YqDgoLq1atHG2rXrv3+++9v3LgRNeWprHugSbRz9+7dlJXM9vHxwSbNAwafUWUumH1NE4n0t2TJkuPGjXvc3626nxMnTtBHxo1lxqqjO0S05Kha6otPaQCDQzpDwSJ0FkXUYtNHpDDs+PmMGy3RAogNjxBaXsewyPju3Lnzgw8+qFOnDkpp5cqVzJDmVaFQQaF2/Prrr/Xr16eVaAy6R0R/IWPHjiXD09wNfDLUTmauY8eOqD7+fhhlBhf9w6oionVMU1mRrEsWGTOtPh47dkyJLD6WIws3ceLEiCjy8GeJUu/QoQOTQYZEiRLpI9DdLYwTT5IkCZYpS35k/Y8//qj2uI0zDMMwDMN4vcDPwY+aPn06LhYeNq4tjhCOLB6R7huAbqroLgrZEFeAP4bbjatGKRxIBAa+OJ+C4qSTB++8VKlSuOaoEakjSTgyAD5nuXLldF+IOBlw/GSNNuBbqyWENAYHj3rLly9fpkwZtQGbGMEa8YoVKy5evFj+7bNw3jRQRP7444/+/fvTDOqlg4QMEf6znH5SkKynTp1SEbVEofzVvXv3Dh48uGnTpvSRwUEhVK1aleIYRORMmjRJX+66ffv2ggUL8IcrVaqkYWFecHSJ4LWSggaj4Pjx41FKsoz/vH//fnz7n3/++aefftq+fbsn9tQGxZVZeOkosQsXLmzevHn06NEtWrSgVbSHvgAjzARxSYRK/fz8unXrhtetgsKp4bFBrXz11Vd169Zl+phf/Hy6xmAy3XSTkCFlDRAKhpo85GRJMNTEyUyT2rZt++mnnyI11RJN0yN5tNDCEJw7d27IkCEsUyQEfwDUjURhCkl3+u5mI0IpIp6ovXbtGkOp5/GQJXSSRqt7dGbfvn1kVl3PDVqlpiKs+bPUbw3TKS0sVhiN5G+V5iGf+INn+mfPnq2CqE3y0x3SmQMyE2cO9E+OLl26fPbZZ40bN+ZS/wbgU2Dj0P8SkjlvztA0c0lFrHVv3AzDMAzDMF5L8HaGDRuGR4vUkR+IHOIShwrPEMcyRYoU//rXv/SPbFxhwFnCMeMj8ssd120QRfDI8dbwvnC65IbhVpGT/PLQ5HDyEfnRGPjxKognjY9HOhF50vIAaRJx3DbSsUZOKTFqxFGktYT4tNGf1nP79gzAkd6xYwdqCq8SqRPVeUdz0hEUYJMmTdauXes5226ZaOCv6g4Sam3KlCmLFi0aOHBg9+7dkUy//PLL1atXPeeT+MKFC3v16oXWYkg1FwygnPYaNWp8+OGHV65ciV4REYpTewwNeBhkRuMht5YuXYqyoCNIoCpVqkgnM+xQtmzZTp06kQH7brGngBq3bdvWr1+/WrVqMYYsOTrIzLIGWB6EdFnrgUtmGfiUkJwMuL+/f8OGDWkqklK311y7seMRQkvTQDhgwABWPH8MjDvtoE2IBxZxSEjIoUOHyHM/Krtq1SrWaMKECVm4SAutZprOQiFl2rRp5HEre144rYti586dnTt3ZgGxgvUfFCl4QglC/uaJdO3aVfoVLl26VK1atcSJE9MXijACROgR/aKbLVu2bNeunf79oP/KMFx0U6ILa8Aly5cUSrGgly1bhlm3ZYZhGIZhGK8duDq4hYMHD8YFksLBL8J3wqPF68UjwgfDNcJHwvvikhDIgKPFR0BOlI/8YMCDwgnGFN4X1uQ3UxAflTh+JsWpi4LSWqg7ZJLkE5cSURQRqkv+rRQazZPXin0yowHQaUiRyZMn0xH16Jn6b9SCIPn999/nzJmDCmrevHlgYGCHDh2If/bZZ3iwERERZFMzQKVAzZMTTh48WEQXptBdBw8eJC51pAyK3Lp1a+XKlUgRamGUEHIML71G/4wYMYJSyiz7KuWhxNjj1UtLzpw5s2bNmq+++oqFgeJq0KABqrJevXqoQSqNjIx8Avv3Q423b9/+7bffJk2a1L59e3x+FgCrjsnF4WeutQak+UnhU0QKI8B0t2nTBpmK4vW+M/W42u/Rd7Q0Hz179kQsseaSOo/JsZSREDSIP4lGjRodO3bs9OnTJ0+eJCfQFLUGBcyQJUqUiCIIGJY7ix4Fwt8SXSJ8UUJLzWPxIbT8/PzoC/2ihWon/aKDwGpjTdM73WClyMaNG/mT08vcGQ0yUxYoyAwxGZs2bWJdYo0M6DFyMm7x4sUjVCkVJOQvGc3GxGMW3MYZhmEYhmG8XuDn4CWGhobi/KB28uXLhzeI74QrCETwJ3GTcMBQTZ52wgnGdZQEQimhrIB0XGEgQjr+JHHyE8dLxoEGCmKES9L1KSE5iWAHCUEbSEGw6U4RiUAiIVVUrFgRZcWntJNSJOJ549DOnTv36tWrntvmRZ4FMo7ziVgKCwtDk+Bp37x5Mzw83HNKheJuMQcv8Z5QEI8O+XH1kT1bt25F4YwcOVLveFy4cOHevXupjk+9UjJ+P061sUL5ZVAhHaRr1HXixAki9BSJpY/cMk+HVxF9Qb/NnDnz3Xff9ff3R0fVqFFDz1KWK1cOn79ChQrBwcF8Otxh9uzZNIlSXvefoFWx+o7WuXPnkNHIBkBCpHBe58AfBssOdVGnTp2zZ89Gr5g4TSGCiiCD/htBKf6QWOLSMKxy/nLozONKw6fH6VMUVH306FH+bBYsWDBo0CD+nPgrpWG0uWzZst27d1+3bh0i2C3mFFy0aBEyCWWlG1b8JUtlEeEPe8WKFXR8y5Yt/PX+4x//+Ne//sWISVbRWUaACJkZQ3aTJEmSBAQEMIVPMG2GYRiGYRivEHjStWvXxmvCZcKHxDPEj8JHwjvCpwLipOOJoZEI5S7ikhGWLl26TJkyhGge6SUcLSkrQi5xNfWPcsAfwwLZQKpMIZeyTANwrIsWLYpxypJYqlQpHD/cWtxd3Fq8cHxuPz+/unXrEtaqVQv5Ef37Qm6XXi9wR72XL7hJrx10Def/ypUre/bs2b9//86dO7///nuk17hx48aOHbt06VKUHjrWmeS4GYRYCa1Dhw6xHOPHj588eXLvhgx/IYh+1ihrEbVwT4O4ZKo2b97Mai5SpAjrWDd/WM0UQWxwWahQoZ9//vmegs+BqC45eHGaipSfP3/+sGHD3n///REjRjABrDZ9qlJi2bJldJyNQLqRP34idIq/av7a9XvYzBACkmwMVMKECekpcf7I2UTUcdQXA9i8eXP9rNv9tRiGYRiGYbw24OdcuHChd+/e+JNoIfxJ/fcZzzCRgx4F4iM8K1QTPlUm5xVwKKsCBQoggfA5ddOpYMGC+F35nPdkkC1LlixkoBTpeJsk6r0XlSpV8vHxwUclTgYK6vE/X19f0oODg1u0aNGuXbtevXq98847nTt37tSpU9euXT/++GOcwCFDhvTv3/+TTz7Rj3ctX778+vXrdCFuXfCXkzehg/jeyC31VH74TQfPJwc391MTK6GF4GNN68/Au0Xj/Ncg6oUQfLRu3Tq3wN/QAZg0aRJ/Qix6lj5/DLr5w98PFvgb6969++3bt+mVW+Z5oU6BN6Aabi4jnJfXI7qIe5+6xZyCs2fPpvHIKjqOZKIvuuXNULALLFiwgDwU/OOPP+rWrVu+fHnSGTeEFjnJRmYi7B2oLJQ0OfVHS8StwzAMwzAM4/VCrg7uImIGrYVDiB9IiEdEiGclVwqXEslEHC9Lt6ryOw/+IatQShTE10JukYheatiwIdrJ39+/Q4cOmP3888+/cpg5c+a33347f/78qVOnzpo165tvvpk2bdqMGTPIoK94bNmyhZbgqp05c+b8+fOEu3btIn39+vXHjx+/fPkyrmBYWFh4eDjN1nN60f00Et3Y6wX98nCTXjvc7v0vTO49oXKqyFPyaKFFldu2bcuWLRuCgb+EFClS8CcBiAdC0pFeo0aNuqdBlGKN1qpVS3eu+MvR3xIygzhChT+khQsXev15zqCsCKnaQ4KHdJqkVkl9gYqIuXPn8vdf0HnpjfcHz9ZANytXrrxhwwav4Lx582rWrMlHerc74wYoVTYOtgP+vB3b7oyCW4FhGIZhGMZrB65ORETE4cOHR48eXadOHb1iDp8wd+7cOIrEy5cvTzrUqFEjMDCwUaNGzZo1a9y4cfPmzVu3bl2/fn0i7dq169mz54gRI/CyNm/evGDBgr179+JwYlnelOe8gXcDSty8efOO80PDIO/L8fjcCKHXTl16Ee/SQzlfM9y+Of11k1476F30iMLos+yFTq444BFCi5qA5Ttu3Dh0AuoIRQGoLCQWwok/jyRJkgwfPlzSxYNSixcvRmDoT0j3f1AdWCCFPyckyo4dO/T34JZ56aGp69atQyvSd0BuoZq0O3DJFnDmzBk3q6Pltm/f/t5775UtW5aBouMVKlRo27btjBkz9E1KN59hGIZhGMYbQ3h4OOpo5cqV+Ja9e/ceNGjQ2LFjv/7669WrV+/bt+/3338nPHTo0B8Ox44dO3/+PPIMB2z37t1nz569du3aPT6nYby0xOrRQRb0rl279CAsqil16tREUE1ILC7z5s371ltv3blzxy3jEBkZ2aFDh4QJE6JAyJnJ+dko5Jlu/qA6WrZsGRYWJuNumZceWvvrr7/S/uzZs9Md+qJHipGODE6nTp2Ql25WBy5v3769bdu2Dz/8cMKECWwcelQSnHE1rWUYhmEYxpsF/o8cIZyiW7duRThE//qTIp6/5KVEx7FkGC87sbqjReTYsWOFCxdGYiEq0E4oDWQGGgPVUaZMmeLFi+/du1dFgD+AixcvFitWLFWqVGRInjw5Eitt2rTIMyxQMF++fPpdbXLK/isBTd2zZw/Cku6kcd7nTo/oF5dIR39/f6Sjm9UZBEL1ERWKnlRPudRHCg3DMAzDMN4c5AjhFMkvip7ihcL7SETP6ZQzjJedRwstrenw8PCgoCAkU65cuZAWuXPnRl0AcQQV6mv9+vVk80otWbIkSZIkyoAeo2BK53ffSEFovfXWW947/UClXn5o6ty5c/Pnz09H6BcaEqEluZUhQ4aqVauePHnSzeqg0UNiOb2MIvr2AW4+wzAMwzCMNwPXB4omnKInejh5701XomG8KjxCaEWnb9++iKVs2bLpvlbmzJnRGyiucuXKkbhhwwZPUdy5cyc0NDRevHhoKpEqVaoUKVKgshAkhQoV2rZtm2v0lSIyMrJdu3b0BZWld7XTKTQkQouhqFix4p49e9yshmEYhmEYhmG8wTyG0Pr88891L0tvDkRcoS6IlCpVCtWxceNGqSzYvn17njx50CGg5wx1C4gQrVWsWLF9+/a5Rl8p6Nq7775Lp+hReudnwQgRnBKQhQsXXr9+vZvVMAzDMAzDMIw3mNgKLTTGlClT0Bj58uVDWqCj9MPbRBBaiKi1a9eS5z/OD0MNGDAgpfNLWdIhWbNmRZmgRihStGjRqlWrHjt2zLX7SkEH27dvT6fUI7qfznmPor6pVbFixUOHDrlZDcMwDMMwDMN4g3mMO1rz5s3TawaRGbly5UJpILrQToUKFUJsLFmyBB0CV65cKV++PJJMDw1myJABZUJ+SunOT8uWLSMjI12jrxpoyBQpUuiZycqVK9MdOoXaZDQaN24cERHh5jMMwzAMwzCMRyH/+T8O3qU+Ml4GNCPgXj8OjyG0tm/fjqDSj0fldH4dC6FFvLDDZ599phe1b9u2DZWFJEOQEEmdOnXKlCkpCFwiunr06HH37l3ZfLXgD4BuJk+eHKGFsqpatSrdp1+E0LVr1yebA8MwDMMwDOPNAY8Rr9Lx3u99Uxooxc1qvCCYBW9q3KTH5zEeHdy3b1/evHnRV4gK3ctCb2TNmpVIkSJF3nnnnWvXrpFt/PjxqCw9OpjKAX1FmDZtWiIlSpRYtGjR07T4xTJp0iT6gsqi12XKlKH7WbJkIURudejQ4dXtl2EYhmEYhvF8wGOUE3/37t2LFy+eP3/+3Llzly9f1ovl+MjNZ7w4mAjNBaHmRYn6NJY8xh0thBb6Sk8ASlogtJAZej6we/fu+hWpt99+G4mVOnVqBImeG1SYJ08eIoGBgSdOnHhFFxCDO3LkSPqFyoLSpUujOaU26WCbNm3sD8MwDMMwDMOIGXnwFy5cmDlzZu/evT/66KPBgwd/9tlnO3bsuHPnzuN688azgFlABkcXWsL9OHY8ntDKnTs3ugJRgdZKkyaNnppDa6GsevToER4eTvVEdDsradKkaDAUFyHiRG+MaNasGavq1RVa6El6V7BgQXqULVs2veEje/bsDEXfvn1NaBmGYRiGYRj3Ix/dC7ds2dKzZ88KFSoUKVKkcuXKpR06duy4e/duMphL+fzxpkYgWBYvXrxs2bLNmzcfOHDg+PHjt27dIoO+KkWGqDKP4jGE1tGjRwsVKoReQmuhKzJkyECEEK2FrGJlUOWlS5dq1KiBBkuRIkWyZMn0M1NABGWCQkOye3ffXjloNkKL3uXMmTNRokT6IWY9EslQDB8+/BXtl2EYhmEYhvFMwUv02LlzZ4MGDUqUKFGuXLny5cuXcihbtmylSpU++eSTY8eOkcctZjxjNCMe165dQ1b98MMPvXv3Dg4ODgkJCQ0Nbd26dbt27UaMGLF161YyxF7LPIbQunjxItOPokBmILQyOqRLl06PEQYEBBw8eBDNh6BCViVNmlQSiwiXyLPs2bMj2fVLU6/oyzDggw8+QGLR3/jx49N9VBYRUuh1r1697N8PhmEYhmEYxv3gmus5tPDw8EGDBlWpUqV06dL4xgULFixWrBhxdBeiq3r16iNHjrx9+7ZbzHjGMCMSTpGRkdu3bx84cGCdOnWqOlRwqFixIhqYqWHKmjZtOm7cuF27dum+1iN5DKF18+bNwMDADBkyZMuWDX2FzCCeMmVK3a1Cbo0ePfqrr77STR7dziIElk6hQoXSpEnj5+cXERHBIotl4142aHzLli1RVuhGxBUjQPfV09SpU/fs2TOW6tYwDMMwDMN4o/CE1pUrV3r06IH7XqlSJcRV0aJF8eNLlSpFpFy5csSHDBmiFx8YzwHNC8p23bp1nTt3RrZUrlyZiUBWIXq5ZKYkupgjLlFDKOFDhw7FRs48htC6detWw4YN0VSoLEkLtBMyI2nSpKiOJEmSoP9q1qxJXDeynBtaUW/FoLklS5ZEldFKfcMPXKOvFOfPn2fQ48WLlz59ejrIUNBBhoJLujl06NBXtF+GYRiGYRjGM0UOMD79pUuXunbtim+M146swoMnjhOPQ1+8eHHCTp06bd68WZlVyjXxEJRHUMQrBV4GRQyhwRGRkZH79++fOXNmu3bt9JtVePtlypRhXpAwElfly5cnVCIhemfYsGF79+51TTx8eB9DaKHbWrdujaBCaKV0QF3odhZKA8lBChEyoL6kQBRBYmXMmDF79uw0F7Wm6XeNvlIcO3YMgZsgQQK6Sa/1/CS9JkR3TZ8+na65WQ3DMAzDMAzjb+SRw8GDBxs0aCBxhdcu8DBx4osWLerr61unTp2PP/7Yze3gmngIbqZoeOmvrtf9THEGKeqJwRs3bixatKhjx45169ZFSjEpTAFyFwHMjHBJvESJEp4qRnGRznwFBgZOmzYNkYaRGEb4MYQWVgYPHoxwQmakTZsWgYGUAiJ6ryASC+klcQW62UUiJEyYME2aNAUKFNi5c6fTtVdyyg8cOMDoJ0qUiL7QU4RWlixZJDgTJ078zTffmNAyDMMwDMMwHoh84CNHjrRp06ZSpUoIrcKFC+PKS3HhyhcrViwgIKBJkyYTJkxQZoiNeylBJaefOJHopUh0Y8bfMETIpLlz54aGhmrkmQU0lR7mRE0hqyS6gGkiD0qYWQMmi8Q+ffpcvXpVI+8avY/YCi1MwPLly7NmzYrKypQpk5SVXriHrCIu3YXq4FISixC5RR7UCOTOnXv69Ol6J71r95Xi+PHjzAGaii7rppYUJl2jj3QthoE2DMMwDMMw3mTkTuOdDxw40M/Pr3z58noZBl47vjuePV4+fnzDhg0XL16MtxyzE+8hs2FhYTt37jxw4MD58+dv3boVHh6uNyOQQaHhwXAhtLZv396qVSsGHB3lSSzgsmTJklwyO1wS6m0lzFflypWrVKlCyGS1bNny9OnTGnzX7n08ntC6cOFCYGAg0gK5lSFDBmSVvqqEmtL9K0JdRhdaetQQ9YVKoUvYeYXmm9YSaqGfO3euevXq8ePHR2pmdH5JjA7SNTqYPXv2UaNGKbNhGIZhGIZh3A++YmRk5Mcff1yzZs2KFSvizePE49bjuOPB4/SXK1euRYsWOMwxP5MGfAr4qMiqX375pXv37ii0Dh06vPfeezilo0eP/uyzz44fP65sbpk3Gw0XEcKjR4++8847/v7+Pj4+zAJy11NZijMvCGAi3mshEVoVKlSQ3CJSt27djRs3SiPI/v3EVmjJyt27dydNmpQ6dWp0BUILgUEcQQW6nZU4cWKUFZGoZwedr2kRKg+CBEV44sSJmBv0sqGmEsKOHTvoAuKKTqG16Nc///lPPUnIHLz//vuaPMMwDMMwDMOIjlxKwF0cM2ZMtWrV9PYLnHgoU6aMn58fQguH/qOPPtJv48bsWGKQDFeuXBkyZIjUQqFChfRtIuAS5bZq1SqyodncMm82Gk9GIywsbOjQoQEBAUwBvn3+/Pn1DCdxQFzpjhYhl3ny5GFgSzlvxdAjhUwTIWWHDRt27do1b2bv5/HuaKllISEhehqQUHILQYWUkrJyZFcUCBIuUzk/qwWZM2euU6cOxWXKtfuKoL4vW7aMLmfMmDFr1qxZsmSh43qGEHmZK1cuxvrV/X0wwzAMwzAM49kh75cQd//DDz/ETff19cV311eDiOiyYcOG3isHyU/4MLeZdPzqPn36oBOkBMqXL48AQLZxiVrA2ieffHLgwAETWkKDiYgdN25cYGBgBec3sgoUKMAAIqjuuZcluJQGA9KRXoQMMmNLvGPHjmfPntVMPZDHE1ri999/Z/7QG6isZMmSobikrBBayCo9LijRxUcK6QDT//XXX9MUddK1+9KjLov169ejrJBYiEaUVc6cOXPnzo3oSpQoESFL2X5dzjAMwzAM41kj11bumVKAuNKjEz0DOCWiUuSO3oOX6OUExaMKR8P7KPZ4+SMjI9966y1kVUBAgKQRXrvukOD6t2/f/uTJk8pMeH+PPPh0/vz5KAG9Bw8jWJDQQrkB7jofIequXbvmlomRe3r0wMuYm/RYYEoQ18hHTxROxjgDg3fv3p03b16NGjXQVygoxkpSCiS3dMnQEaK7SNHdLdIZYSZIM0XIDE6cOJGWxzAgsRVa9zB+/HiUFQoKTYW4Sps2rYRW6tSpJa4kuggTJ06cJk0aBImPj8/evXu9cXyFcCY6imXLlqVLl073snLkyIG4ypYtW/bs2ekmI7Bw4UK3gGEYhmEYhvEscZ0zhz//ftueLsGLu7mjoXQgT3h4+O3bt1E+XooKYhAUjx56eKYUiQ0qiJ2wsLDGjRtLHelRNELQF7Tatm175swZt8yjmDFjhncjixABUPzvV+QRQSSgEJo0aXL48GG3wMOhbRpGQTsBWeJeRxscxd1iT4RnTVCLKiLumP9vxC0Qd+zatatr164MEdoENaUbWUA8b968hBJajBv6Sje4GFj0GDmZL0YYqlatSli/fv2ffvrJ6UGcCi26zaJEa9Ga+PHjJ02aFJkBekoQ1UFKwoQJvcucOXOiSTp16kQpDVwMDXoJUWtpNlIKJZkxY8b06dNncpDWIiR9/fr1z2JBGIZhGIZhGNGRb0aINlAEHwxnXVLB89wgKnc0SCHPpUuXTp48uWrVqs8//3zs2LH4tL/++mv033r1QjTP5s2b9+7du2fPntOnTyPMyCPuNx4z5Adqv3jxYosWLXx8fJBVCCTcd1x5PHviaK1evXrF/LUfD9qwYMECfTsLIxUqVEB05Xfgkjj2fX19O3bsuH37drfMo1C/NKqE4s6dO4wtIXGnE4/X8ehQ1hm8/1y/fn3fvn3Lly9fvHjx119/TUd27NjBaHuiV5lVKq5gir/66quaNWvmy5cPFaP7VKgpYNAKFCiAOlVE9xi5ZBg1R0QQVwwp41ytWjVSateuvW7dOq+1D+RJhJbmgBFnwfXo0SN79uxJkiRBb+gZQsQVYYIECdKkSUMcuZUlSxY0CZqbshRUcZl6+YkavL9hKaRLl05fS0NYZs6cGYmF6KKDRFgr5HGLGYZhGIZhGM8GPC45/fjlR44cWbp06cKFC5ctW7ZmzRq8U5SM56+DW8aB9J9//hnt0blz56CgIFRK5cqVkTdt2rT55ptvrly5Qh55quiK3377rVu3bnXq1GnYsGH9+vV79uw5efLkrVu3hoWFke1+4zGj/BineV26dAkMDERflSxZkgbQDMkt4tQSy6+iYI2+4O6jBBAGaABkg+5i6W0NusfVtWvX2NzRAq+FN2/e1KjS34kTJ44bN06K9Mcff5QIJI9b5jGhYERExIYNGz766KMGDRpUqVKlevXq9Nrf379Zs2bDhg1D1l69epXJVWaViisOHDiAcmHMCxcurLFCbgGXefPmldblkgyIMcSwn58fsoqBZXiZIM0RQ6r5Cg4ORoFjlgGR/ft5wkcH1XNCBoIFR6MRWhkzZkR+JE+ePFGiRIkTJ0ZiobjQISgTlKJe7B69eNwStTSegc6RTYVIKdQjopFuKoLWIk7v6P7MmTOfRQMMwzAMwzBeIXCH8PQ8D8pDn3p4KYo4WdyCnqOoRKEUoRS80Hnz5rVu3RrfFy85ICAAOfTee++NGDFi48aNehotOuT/9ddfkVh40njMxYoVw4XD286fPz9+Nl41cuLChQvh4eG///77Z5991rhxYzQAxkGZcbtDQ0O/+OIL/YCS2klErXok6t3Zs2c7dOiAKy/HvWrVqtSiWyV48IgN1KBbIEawdvz4cZxwihcvXhwLurVFSAd1rwYJMWDAAKSLW+ZBRA2Ng+JHjx6l7+3atWMwGVKap3aWKlUqJCRk7ty5WPMyC8fMvShdXVYEDh06hHEsM+y5c+dm2Bl82glEGOf27dtPmTKFabp+/boKPsz+E7Bo0SK6wMgwm8CgAWPFiOXLl0+rghAFNXXq1BkzZjRp0gSJpXtZzA6f+vr6SpxD27ZtDx486HXwgTyh0PLANBWg7JHmaCqGTPe19D4MFFeWLFlIoQOMrFsmrqENrEhp3zicjPvZtWuXVJZ+RIv+EidklcCSJUvcfIZhGIZhGG8k8gwVUQg4afJHvVBumy6VcuPGje3bt3///fcLFy5cv369HuRDLHlGiESHDD/++GPdunULFSqEl5w5c+bs2bPjENeoUaNRo0Zjxoy5du0aFsipslJZ77//fpUqVfCYK1WqVKBAgVy5cuVxwNHH8/b39yfDJ598gnohA144Hqw8ciIoAXISR4BhH0nmNUxhbCDnkSNHWrRoQV3y3XHcaXbZsmWJ4OLPmTMnltboHYMwfvz46tWrI6hQCPpykfc4HJdUtGHDhhgMagq8CAISpUrbsIZyQ2LRX4aXscLJZyg6depEC8nG1HhlH0j0T4nDunXrmjZtqrtG0rdqpwYWX5o41dWuXfvtt9/+6aefULyUxYiQqaeB1cWCYYiohTYoQgi0h4bRZdYPegyZd+bMGUQvgopB0E+cMUFSnlwSR7EfOHCAfrnWH8TTCi0NHGv3t99+Y0qyZcuGvtJXs9BaCRMmzJo1a6pUqVhAyPc4GaP7oQF37twhjKtpeBh0gTnImTMnq42/ZzqL0EJJEmG2+Ot9prUbhmEYhmG85MgfwzMkxD07evTo6tWrUUQrVqy4dOlSlKP2txKLHuJGDhw4MCQkBGcSbdCtW7eZM2cuXrx49+7dEmlRpqMRFhb25ZdfBgUFyV/HDcNTRw9IuuCtdenSRY6ZqiM8duxY9+7d8aTxrREM+Nb6R7nn5esrOqVLl5YnLbO0hyqgVKlSfIqG0S0jX1/fBQsWRL9p5rYsRpSTziIFceipBQ8ZcOJpNvUyAitXrnwsa5s2berQoQMW6BRdoO+0Uz3y8/PbvHnzAwdQqCJNFnlQgEOHDsUUggcJijVGAH1FnIijiQrSWoQQ2bZs2cIsqKys3UNU4/4W1Uz9kiVL6B0jqTtvkoWYJYWJI06zgRQGmV707dv3xIkTnh3ZfEpWrVoVGhrKVEo8M+a6N0WTFDL7gwcPlqyg2T/88EOtWrVojCaI+UKC6g4kKQgt3dFyrT+IOLijpfD48eMsbj0umDJlSoQWJEiQQK+LQKBHRESoSJzjjL/bDEWeEWwW6FfmBlgT/AVmypQpY8aMaC1W4bZt22Iea8MwDMMwjNcbOWO3b9/++eefJ06c2LFjx8aNG7ds2RJpMWrUqN9//13fnlJmubPLly/H/cWNRB7g0+Nl4dSiZKpXr04RfHSZVRGxbNmyunXr4itnz57du99CcXwzXHaMoDGGDBly6tQppzlRwm/WrFm6iUQpHH28eRWkFM49pXLmzElxPpJUoxnEycxHiAHyA4mElCJPnz59/vjjD4zH0v1TS2DdunUNGjQIDAz07o3QWSCOwxz7l6sp240bN9CcrVu3rlOnDh1EGGAKGdCmTZt58+bRcZoXg8GoBv311/Xr19HD//73vxFRDAKeLWNC9+mpfs2IcUBhSnYyYsitTp06ffvttzE8lEi9gBZFWH7wwQeIE7SfN9oaTMAyIZaJAJUCWohlgy7SfTOIoQuxh5bQbBpPFQxRtWrVmAXGH4nFgqGF9erVY3ZUHdBBhpS5JgNNIgNrkmmiLPFevXppAYBbwX3EzaODhHPnztWbIZImTYrcQmtBwoQJ06ZNmzp1agYrhkbECZ79uK0Ia4Jubt++nT/dHDlysEoE/UVrKSXmO7OGYRiGYRivPfhLERERX331FS4svqm+3oNvjQeFg9uiRYsZM2bcunXLc65++eUXnHs8bHnhAkecgvjfaIZFixZ5N46wr8gXX3yBWSQBZnGacdM9rUUKEMdFnjZtml7ecOzYMaQIXrKEFvkpS2ZC+f1SFMQRAGo2ebBMOtKCDMClowWi7nrhedesWfP777/3nHJ1P2aUecWKFchOhCLOOl47Ln6NGjUI0V3Y3LlzZwzWnKrccbhz586hQ4cWLFjQrVs3rDGMdBmpNnToUBp2/PhxjZsyO6VduFRLCG/evLl27dqRI0fiq9MpOqv7B+oyk4IcZaAKOg/1MTgMCyHjxiAgVNB41CKbIPsC46wExFLz5s0ZWOzo5hVlZVy3yEAjTMgIY5bB1yz07dt3z549aMV7LD8xLIapU6fSHpYBHaEKQnrN+NevXx9pOnny5AsXLniD8/XXX+uOFnkIkWQsIUkyIsOHD5fOjKF5cfDoYNS4/vXXsGHD0FesUYRWcucN75A4ceLMmTOnSZOG9aRsbrFXB7VZ3WSykVV0M0OGDHoUGIlF7zJmzMji2LRpE9lUyjAMwzAM480EaaR7NXjPeNg46PjruO+IFiRQSEjI/v37catwoMPCwj7++OOAgAC8bXLiggOZyYnviy+LhbZt2+oHfEH20Wm44GgS/F0c9yif3bkfpbtbUlmEmGrVqhXOG0pgzJgx+Mr48Xhunh5TREgA4M4R0mA0ofQhl4TY5xLwy1ECgAik9m+//VYNA7UtZsiGr7hw4cKGDRvSayzQTeQKAgmI06kjR47EYM2pKsrI7du3f/jhB2QVRugLLaRViAFGvlOnTvPmzfNU1v14Rk6dOsX4oyXor9xahoKIek3IRDAymhGqYHwYHClbqZR+/frduHFDDjATKvuCRCRckyZNdAeJ/AyaBhOkr7BMRBURIR2JRRVYJoUpGzx48Llz59Rg1+5TgBGE5bZt2z799NN33323a9eu7dq169GjB72YMGECS8V7WSWZUWVIVsaTxiDMiOjeI0KLCMJs9uzZ5KSb6v4DiRuhRcgKRl+lTp06YcKEesM7QotLlAmypHPnznGoR58narO6uXnzZv2IVtasWVnTupdKnA6ybvj0VeygYRiGYRhGXIG/h3OMr4xLiq+Mb41XigPtPQGEz/r555/jPZN548aN9erVw5XHocLD9mQSPjfZcNCxgwzAA5ZxebRUsXz58rfffrtu3brk17dUCEG+GV4ZYLBly5YHDx7Ee54xY0abNm1oEg3wxINEhUqRQn4S5frjW1O15/ejYdAzSAVS+IhLRALSSD/tIy9RLYwZsgEqCKFFY1CSIKGF7qKnpJ84cULdfCCq6M6dOxjB15dEkdBSa8uUKUMiWuvChQsqcj8ygnwdMmQIldJBBo2hYEAYCqxhgQEhxCCjQRyoSOmoJqZGQ9S0aVOUoRossx40csSIEeTUk4GEWGPcMKgJIk7IgGNTlj001LSkRYsWv/32W+xHOGYwIjV49epV1P66deuYwU2bNrFIdG9KFQkG8L333mP1Il/R2EyT1iRCi7kLCQn58ccfvfyO+QcQB48OAqKZpiROnBiJlSxZMqQIoVQWITqEiYxh0bzkqI+0f8mSJVmyZEFrsRZZiMCWwcrgT5SlFvOtXsMwDMMwjNcefML+/fsjRfBQcaPxrfHL8dElYHCgCWvUqIHyIee2bds6duxYqVIlPsWhIsS3BvwrvG1yQqNGjQ4cOCBPzPHIosAtnjx5Mh9JNVEEkUBxBAPgo0tQ9ejRQ1/TOnz4MJ5qzZo1MYgvJ/+NglIXyi/Xn0TsEJduQR6QiE6Q66+41AKiCA2AcTXM7X+MRDX9r79mzZpVu3btqlWr4rXjwRNBbjFcgYGB6Ba9ON4tcB/UBVu3biWnVAodUSPxReky7aQLaLDff//9YXZIv3nz5hdffMFEIB6wwwAybuhVItgEIuqsBkQqizxE0HLSwAwIE7148eKoXjm4FTicOXMGJUxZctIqBpP83vBiHFOgwQR9BMRZM8rQuHHjOXPmXLt2zTX6dKiFGkM12IsrAkqH8+fPv/vuu1WqVEFj60YWnQXidF/f5iIbRWT8gcTZHS0GIkmSJPolX8LkyZMTkdAi/umnnzptjtUqfKlQs6MG/j//4Q8DTYXQQmLxl8n0sxokt8qVK7dr165XsYOGYRiGYRhxRURExKBBg9APuKS45rjLhFJBnuPER3pPA1pr8+bNzZo1w4OXn03OqP9k58zp6ZygoKB9+/bd42JxeezYsaFDh6ITyIllisuV13/D0Ql4w8uXL9fDYOHh4Ui7du3akQFfLrODmgfUQr2IAeKU1ddDSCEDoAqQCrj+ZHM87dK0lvS20X5GCdyWxQiZ6TXjQ7N1qwQlw1jp5QrIni5duty+fTsGa1hAIw0ePJj8UoNqFSGNBNlEUo4fP/7GjRtusf+FYV+yZAlSjRGjI+opY0jf0Vr0HRhPBA/2+Uhzp0EmkYHC76UWiiO6vvvuOxrsjYPH3Llz0bQMKU2S0KIiLGuuscMcUaNmHF+aWkikFirFLCG1tGjRAkGIrsag2/pnjCoiRJx369YNWcVMIYwZUiK6/Yj6atOmzfHjx1UkBuLmjtalS5dYzYkTJ5bE0n0tlilLWXe0Xt0f81UHWT2waNEi1oFgWbAUCIFLlrj+q+EWMwzDMAzDePPAX1q/fn2rVq1QJvjTuP546kRwlnALCXHlcVX1TSQy463is0rq4HDLp+cSP16uPN72jh079MSXh8rq7dt4vXpeTvdJMEKR4ODgadOmoSjIpszXrl2bPXt2gwYNsImvj3dKhPy0E5+eUvhymOrVq1efPn0aNWqEZ8unUfLCuZlDnGwIBrJRsHr16sOGDfNeWO82K0aUDR3VunVr/HVkFfqKpuK+Q506dUJDQ0eOHOnlfBiHDh2idzRbQkjDRfOAEUPCYRMZRi1nzpxxy/wvZ8+e7dy5M3notW5hafSYGoaFOSLRG09CqqAuUsjJJYPAgKsBDMWCBQuw6QxDFMQZ7cuXL7MGmHdUFjmBpjLFEleMP6YIiWd0QDVwSUWaFJYNGQgRWitWrGD2ZflZoy4IVhczEhAQwGQRIrQImXeloHX1M18xEzdCi78Wxj1p0qQILeQWKgtSpUqVNm1aRo2P0M0MulvmlYLe6W+b9m/fvp1VghbXTS2WC3FCFgfLeu/evWRWKcMwDMMwjDcQ/KWrV68iGBAq8stxlnCvceIB9wk/HmV18eJFcuJiERkyZEhQUBCqAz8bt8qRDFEKB6cL5YNHGxYWdo8bSUFS9u/fP3fu3OnTp3fr1q1evXo4Yxgh7Nev38aNG/GD5cURqq5jx46NHz++du3aaIyqVauWL1+eFiJOkAG4zkisH3/88fz582Sj+NChQ3Gp/fz88K3Jj1mKIBt8fX3fe+89Kr3nFR2PRJkRPyEhIYGBgdjBIHILEFoktmvXzrszofB+SN+9ezedlbZE6jDCCC1pHqksLulR8+bNH/Y1rT179lAd3ZfKYsyZFKYJlcUcYVaWmQXJHiYCJI1Il9Bi3JgjBoQp8NrssWjRIlqCUqJ5lKU9mJIFQqBqkNCiUkS4GkN1NEzGmanPP//8+vXr98z+s0ONp7qIiAiqrl+/PvpKz3ZqzTBrzBcLAxlPTrfYw4kDoUVrmHKGBqGVJk2a5M5PFet9GClTptRkrFmz5rmNUZzjjHkU/PnpPy50kw46O0Y2VBZ6ksVkQsswDMMwjDccfCFcvsOHD3fv3h0nEL9ZvrX+Q43njZ86f/78u3+/sT0yMnLHjh0Is86dO6NqdE9Gvj5+9sSJE69cuYLBe9xIChKSiJ1bt26huL777rsZM2agf3Dxz549SwaVciqJklvKfOrUKcQMSg8d0qBBg7p164aGhiKxUAtHjhzRL9WqLH4dqmz48OEDBgxAAgUHB3fs2LFRo0Zjx45FwOCIe8a99jwSihw8eBBViaeOJtQ7MHRHi5Y0bNhwzpw5ns0HgoVdu3YxMniejC2jhCBB/BAydCgBRrh06dLEmzRpojeO3M+6detQeuRkRtBXeLN6d1369OlRXEwWZvPly4dGAsktIJH8hEpBO/EpcvqTTz5h3NRswfgwpJJneM6STxRhJaCmsEylhDSbVYEjnSVLFtrgKK9cZEO8SSu2bdt269atksrgtv4Zo2ll1Q0aNIjZQerTHrrJsmSadHerWbNmq1evdgvESNwIrV9//ZUZ0r0sQvRV6tSppbWYMBqEfHeG6DmNURzitZk/znfeeYcFwSqka9Ja6dKlQ4gTYX3rK3HKbBiGYRiG8QbiuHtRzuH27dunTp06bty49u3bo2p69OgxadKkNWvWHDp0KLpfLr8WsUT6smXLhg4d2t9hypQpBw4cIKdrN0YwgjsuNSWD4H72v5COzdOnT584cQLRdfz4cXxUan+gN09OPrp8+fK+ffuQNydPnkTCxbJJ9yP7qEr9sjBKqUyZMrjv+O7Vq1cnBfm0dOnSmNvPp7SEzEgXaRjED+CIIpywhsRCaCGHWrZsefHiRbfY/4KcQ9NSHMGT1Xl7tn6sCLWDo4tNgVnd15K44lKJ1IUKohZAS6OQ9b0yr+UbN25s3Lgx4oQmIagojuJCQVEWrYU0ACLUpRtZpBMnRTWSHypXrty7d2/vtiG4rX+WqAuEqO4OHTogXKF8+fJ0n/mSJK5Ro0anTp3u/97gA4mbl2HMmDEDZZUoUaLkDgiPpEmTconuYtpYPQ/7Nt4rgUYcWEnIbjpI74AIvUZhIrfQuzG83cUwDMMwDOPNAY/Ic5/Onz+PqsEVlJvkhcCniiun4FKyR5dR5h6TKNMPccn0kWqJjvepIh6kRM+sFH30BGBq9erVeOr4xugQPfaFD4nsCQoK6tKli96sphrdMv8LI4OFevXqoXkoi4whgkSRIvJuQ9WvX3/kyJEPc7+3bNkSEhJStmxZ5A2SJr0DLq4e8sQg1gj5FDFGI5FJum+m6tBXtJn2o4X4dODAgTQYsEyINP3ss898fX1RVioofUWo21aKKxGDZCNUvSQSB7pGC1HmkZGRMvs0wx57qAUYZBQvuldTg3yV0KLLiC50MmMbFhYWmybFwR0tlH2vXr1QHYkTJ46SWY4OQWvp1hZStW7durrB6pZ5pXAG3P1TR53TI1YJuh+JRRyJlSFDhrRp0wYEBHg/I2AYhmEYhvFmgteEn6qIPChFSPHuGoHjWLkqS0QVdiDulQI3NdZQRMXd6/twao5CeaLq+Btl8FAK4VMKPw/sTJ8+HafR398flYLvjlCp6nwFCO3UqVMnvVkN3AL3ceXKleHDhyNjUCYIHpSMbgEpgh4ggvF+/fqhxx7WWoQWNVJKt7D00KCEFpcSWrKJ4EGPSTKRiGpCxZX4+9eHqY6PEFrXr1/HrKpDK7Zq1UoWpJ2oBYhLWfGRTFG8ZMmSxHVTS4levU2aNFmzZo1GQzhtf+bQi/Dw8I8++ojhpRkoK/pLZ4kwZUiv5s2b6xe03AIxEgd3tG7evMmApkqVCuGRKFEiVJa+owWoEWaOydZbX9wyrxpMrRrfs2dPupYlSxY9Toq+YmlmypSJnrJWVq5c+dwWgWEYhmEYxkuI4xK7uEkOuFKkRA+9RCLRL6MTVTIWuLljkV95vJxOoQfEPZTywI8eFyzgD3/44Yd16tTBa8ePl9DyvvzToUOHHTt2eIPgFvtfrl279tZbbyF+UCOIHEEcAYOSkfjBWrt27Y4ePUr+6HZkFhB7xYsXR1bhpaf7G5zbrA5oLawheMiDxiCUfsO+ZBKiiDygSM2aNZctW4Y4oeUoyR9++IEUWkIRFBQZ8Jb1Gjk9NEgpfURdtEGJKDFkmPLwEbW0bNny2LFjXrPVhadH1kT0lOhrcu3atYhh3RukqZojpqxixYoIVKZpz549+m/CI4kDoXX69GlmNHny5GnSpNFNLefBuqhHB5FeqJFZs2aRDdwyrxQaesWHDBnCikRr0SlWJHG6TJzOshxnzJihGTIMwzAMwzCMezh79mzv3r39/f1RL/oylcCRJrFnz556IXsM/uSNGzfefvttvRceDSCVpcfzUAVcEicFlXLixInodvBmdXn58uU2bdqQTUILVxaISA5JbvERBnVLCs2DZeLoH0oBckiiiBSoXLnyqlWrvNuVxFu3bk3zKIgwI0OmTJn0uguMEycFa6RQHaG0FonKQ0toAKpm6NChNFWNjyu8RoIGxItERkZGRETcuXNn//79DRo0UK8JGVIpYXpUpUqVWrVq9e3b98qVKxRxjcZIHDw6uHXrVgYofvz4KZy3X0hoMWcIklSpUiG9fvnll6h+vJoixGs54aBBg1gE9AsBSb/UR6DjLDjUfCzVrWEYhmEYhvGmsXfv3u7du+Ovo7Jw3KWySpUq5efnhwc/cOBA/bxyDDcnTp061a5du+rVq1MQzYMSAPQMoK+KOF/T4qNWrVqtXr1afqnjyf5XTnzzzTdUjeZJmzYtDi1+u944IImFfJLgQQsJ3chSBNVBdWgwKgKkCGG9evUOHz6sWuDQoUPvvPOOr68vRciARsAsBqWmsE9xGQH8Z3Can0/1Uot+peqPP/7Amnodh6iRoAG5fv06Fa1bt27ixInjx4///vvvmSDaydgWK1aM9jM7KEk9NBgYGMhMDR8+nLLCNfpwnlZoMYVLly5FkqI3UFkSWsSZPCYM0qVLt23bNnXJLfOqoZYzmv369WMt0jvnjl3U99ASOZBSqVIle727YRiGYRiG8UDwEmfPnh0SEoLTiPtesWJFPQGIQ68XSwwbNkzftYlymh/iUu7cuROVhU5DCaAHUC/IFcQJIGwQMEQQLVj797//fenSJYrIYJQscL59hJygXpQV+kd3tDJkyKC7WBSkOGoHOYTGKF68OMqKCImEUZLO+T4VlRLhU1pOM/z9/ZcvXx4REaFmnz59ukePHuXLl5fQQj5hHBSR4tLdMGkttZx0wGzTpk1XrFhx7do1NVu9jiswiFkiCM7z58/Pnz8fWdWoUSNEFG1gBBhYmkSn9NgkSBIznkisgICAqlWrfvbZZ7Fv2GMLraghjGadBdG/f//EiROjQFBZaA/d7UF76P4jK+ngwYPO5L7ajw4SQaDTO+krCcsECRIQJ8IMXbhw4RXto2EYhmEYhhHneD4zkevXr3/wwQd6CK1IkSLy43HrcfEVHzFiRPR7UCp4D9988w2uf+7cuVEFhEgXFAsCSbqotPN6DAySR08P6lebAR9V4ZYtWwIDA9ESKB8klu4jIX4AzYM1LJOCTRpJNgySrttlhKRgH0VEFUAElUi/0C2q6MyZM7169aI75ORT7CPqMOiJK0IusUkVQE7skBkN06VLlzVr1kR/wM/t9tOhvssaIeJl5cqV7dq1o3mSeYwkcfVd48klIpO2MapomTJlyjBrRHD4J06cqBuPMijjTj0P4BFCSyUdUw82wbCyYv75z38iNtBXiJDkyZMTT5gwYdKkSdOmTVuzZk2kbcyNeMlRywl79+6t21nx4sWTmIwfPz49RWsx+ufOnXt1+2gYhmEYhmE8I3ARL168+Pbbb9eoUQN/XR48rjxePpf6FtDUqVOVU6jgPYwbN478yKpixYpRFlUARDBFCkILs/o0NDR0zJgxo0aNOnDgAAU99XL48OE6deqgbdA/oBtNqCCEFvoHJLS41EN9SCDUCCoL7QFEMA5EgBoBoaVXyePwoydHjx4dEBBQvnx5aqF5sgbEo+5hOdqSXmCEsH79+s2bNw8ODu7Xr9+6detQQeo7pqI6/NTIjmwSXr16ddq0aZUqVaJ3dI02EAJdo2H0nS4zgMQlt2gqIaNKX5i1atWqMU0ILUkbjWoMTX200FL5O3//VLZwP/6//3ffvn2MsoSWxBUgQoinSpUqderUffv2jS77XkXUeGAFIK4gQYIE6MmUzlsW6SMRpsF+R8swDMMwDMOIjnxIOH78eOfOnQMDA/HXBe57mTJlCHH3q1at+uWXX+JsA6UU3s/IkSMRMOXKldNDfYgBVBAQASkuhAHKgQjphIMHD7506ZLagNkff/zR19cXZZUhQwZCQF1EPduXNaseRpPEAuxTHKSpHE0XJeqwD6QQ0njEEvIPy7JPuGTJkjZt2tBI3aqiGegWQopTHe1UQcKgoKAZM2YsXLhw9uzZa9euPX/+/NGjR9Fsnu5wu/0UyAjWbt26hZDr06dPxYoVHW1VgJYQ0gw6pTgR55OojxSXLGQoCAsXLkyn3nrrrcWLF2/ZsmXnzp2nT5+mtRhXXffzaKFFYbh9+zahN4Lux//3/44dOzZNmjSIK6msFM77MJAi0iHx48dHNaqIboa+cqizCocMGcLio3fqIx2EtGnTEuevJZY/EW0YhmEYhmG8IeAGK9y2bVvDhg3r1q2LUkK9oDRw3FEphMSrV68+fPhwvSSd/A9zKclD/tKlSyMApAeIIGBwUHUJkjSEiCWEE8Zx1/Wtp+vXrw8YMKBs2bJ4sFmc3yuSxCKSKVOmdOnSZcuWDYNKxCAKEBcXvUREGokIjUeceAKMiN68LYcfli1bRk+pvVKlStJaahWWZUSXhMhOdAuqrEmTJg0aNECINm/evG/fvii3PXv2uH1+OmgPYURExNdff+3n50e99JG20QVGElBQXNI2NYwIl2RjSMnJSHIpuCRdr3xkEmvVqtW9e/fRo0fv2LFDdd2PK7QYGm90FIn+fOQDIdvZs2f9/f2lOhBaXiRVqlS6HZkgQYIFCxZ4llXXq4WaTRcYkHbt2qVOnZqVh4BESQLCUq93Z8mePHnyFe2jYRiGYRiGEed4biQsWrQoKCgoICAATx3xg/zAy0eo4Ogjt0hEcni3RxTez4QJE/RKBnRCIec1FQgAxACQIvVCiE1d4rUinxAY69evx5VFb0yaNKl+/frIJwrqC1q6qSXXnQiXgMygbcgqRB0hrSVF9knXza4yZcoQ1qhRQy+EE9RCTxs3bkxBPvLx8aGbuiPkiRnsyD7+M8YdvRP1UhD1iHjlypURb7TW7fbDoUY3Fo3oiYqjM//9739TBQPFmFA740NLaBINo1L1mk8ZAWkqLqVFSSSuwSROl2k5ZTFCWRRX+/btV6xYoXe+R68aXKGlob/rQDwyMpKQrEyzyoByEolaLP/5D/m/+uorhIdeCEEY9dRg0qTILRQIU8W8Mr6nTp1SKS985dAgMDIdO3ZERjIl//jHP+gjfU/j/I4WcouFcvHixVe0g4ZhGIZhGEacg2co8Ks//fTTChUqID8QEugWaRU8ddx63Eji+OveDzQpvJ8NGzZ07969du3aOPpIBU8k6BIfFctAHIhIhgUGBu7atUsO7cKFC0NDQ5EHqAjKkoFs2EFFkCI1RSLQJBqM5kGVkUHGqYg4YUnndXwoxg4dOly9elXGFW7ZsgVVU716dTJQlv7SGJmlrIpzKSFHLQg2YBCUmURkp/fWxFhCveBe/C+kh4WFSWhpuBh8aqclahIpdBwYBA0dcouceqiSjhNnGBFdDBERMkg60lr1JSQkZObMmdevX7+nDa7QOnnyJNUPGzZsqMOQIUM+++yzpUuXbtq06dixYzdv3kRmRB9BLmfNmsXwSV/pzRCe0NI3l+LFi/fBBx+QX0VU0asIjQd6wZjQXyZD9+5QWYhJSJUqVYsWLTREbhnDMAzDMAzjjUc+JF7i4MGDfXx89DQd3jk+OuDo41giMHDcmzdvjrSQ2wxu+f8FJTZ69Gg/Pz/cfRx9CQD0AAYFiYJ4lFpy3k9Yq1at3377DcvovX379jVu3BiZgWxQ7cqvezgYlNKgPYixpk2b1qtXj+bpHo5AeJBBd7pI79atm/cdMIFwmDFjRrNmzapUqYISU++ogv6Sn7LEiSCxSMEIEkvZCEkn9PX1HTVq1J07d9xuxwJV7V78L6RfuHChT58+yDm0ohQjfacZ6jJ9Z5QQWgwmreJT0jU4QDal6ElL6S4uabzazJiQuW3btqdPn76nDa7QGjt2LOoI5YBmSJkyJWH69Ok14owjE//RRx8tX76c8gwlc7xs2bJSpUohNiglceWFiK60adMi+GjKqlWrtFyogqlVXa8cUfPm/JEsWLCAwWGUEVdEvNtZ0LVrV2VzyxiGYRiGYRhvNnIOxbRp02rXrq0H/3DN5b6jOnDucdPx2kNCQo4cOeLmfrhmWL9+fWhoqEoR4vRjCiUja7p0BFHU2x2AbBUqVFizZo18ctTL8OHDce9x8iUtlA0kGzBFiEbq1KnTnDlz+vfvj+JCHJKOcUIgJ0KACB+NGDEi4u8f0RK089y5c4sXL+7Zs2fFihWpnfwoKIpIntFCCS3AMtUhgfiIDFwSadmy5bp169Tl2ECl9A7c62ioSUiYLl26lCtXTj2l1+gU2i+xwzgowqAxhoCaUpzMhBJjmTJlIpFSdIGQdtJyQnpHj4KCgvbv309dbsUO/w9tQncy5f/85z8zZsyIhEBIYAhziCWlICQQUTSIzusXu6iVFCkr4V0mTJiQ5lKqQYMG169fd+t5ZdF4aebmzp2LjKSPKEzGhFFCbhEy+n379iXPqysmDcMwDMMwjDjH8fOjnMmFCxc2atRId7Qkh/Dg8dd1gwXhUa1atcmTJ1++fDkGfxJTp06d6tWrF75+9uzZVVb3hbCAWWQV6kXagAjCAJ3Tu3fvixcvyizhsmXL6tev7+vrqwZImElUIHXUsBYtWqxduxYF9cMPP+D802Y+RZ844sh9DQaJSMeNGzfK8j06B30xe/bsZs2aIcYQJKCC1AiKE5KOnbJly6JYEEI0gCFCCl69elXj9vRg58CBAwgTFBFdQ1AxdBkyZGD0GC4uCYkDg0YGRgP3njz0V4NMChHEEYOj+3IMOGAQaDMhQ6Evwrm1OkQJrcjIyMaNG6MfdEeMUKCX0qdPj6iA5MmTK1REyorQI3oipWgfIjhqZcXRGL0o1AUtnRkzZvzjH/9IlSpVvHjx0qZNiwplxFkiLI5Ro0Ypp0oZhmEYhmEYBj6kXMTFixc3bdq0TJkyyAw8dfx1II4fj9ggQhgSEoL/fI9iiQ527ty589NPP7Vv3x7nHgGA/sH7x6AUgnQX3qmUQMWKFd9///0zZ85g02sJl99++y1ipnnz5ogEfNo0adIgPHBruURWYXzdunVoBjJv374dVYYdzEpg0E5qoToc4M6dO+sLWmqbGilIPHHixKefflqrVi2aSimKoGTor0wp5COEFipLt4YI69Sps2HDhnusPTFRHf7rr6NHj3bo0IGuUSNDjd7Bn6e/UryMm0IpVTSVBBER3fTjI9Ilw4DMUbLMEWbeFAQEBDBWbq1/EyW0qJ4PAgMDGWJqZawxTQVYh9SpUydyQETpqUKklCKSVZJYKVKkQHggw8hPUxjTV/13ij3ogjoybdq0//f//X+RkZKUdJbRZ6AYsREjRpAB3DKGYRiGYRjGG49uceAirlixokWLFggtPHWpDjx+NAYhbjoh/jM+fffu3cPCwh7mUjrO5l/h4eFLly7t0qULdpArFJfHL6cfy3L9kVu9evVCY9x1fgUYpJ0gMjLy1KlTs2fPbtu2LfKGnBUqVPD19W3WrNl3333HR3J9CW/fvv3NN9+0bt0aWUXjESpYxgGuVKlSz549d+/eLYP3+/xKPHz48LBhw2rWrElTKUgL6SlqTe1UHJuMAwarVKni4+MzevRoOuhYjQO/GiP0mv6iTmkwLSlXrhwtyZQpE0pJgw80RuNGIvKHkLmgmzmdVxESkqIGM+CgEWbYgfxcduzYUYLWrdjh/1E3SL1w4cL8+fNZAVmyZEE76XYNdtEVyCrkE8qKdBRXwoQJ9QSdQG+gOhBaCGLiRKjs888/9ybVrerVRF0AhujLL7/8P//n/zAIUpgMCzBQCNSPP/5Y2dxiT00cmjIMwzAM4xVF3oXwLh/2EeE9fp7xwmFGmBrCX3/9tX379hUrVsRBx1NHXUTdcnK+sITnjL+OQ4/Wateu3Y0bNzSbDyRqvv/6C/2DcuvUqVONGjXQMNhBPyCEJJmAONXpW0NeG5yi/+XWrVvbtm1bvHgxpjZv3rx9+3bdJvFqEREREbt27RozZsyAAQPefvvtbt26DRo0CN2iF25HRy0UXGIKjh07NmHChA4dOvj7+9NUOk73kW3ly5dHXAUEBNAFPgoKCqpbty4e9fnz51XwHoNPhuwAnV27dm2/fv2ol+FiwCW0GHzhiKaoG1xMhEQUmgg1hI5CcUloMbx0gZAMqCTSlZPG61tw4Fbs4L4MQy1QUzZs2FCtWjWUFYJKDwGinfTiBz03yCUyA7EBpCiuRD5Nly5dw4YNz54964lmVfGKoi4A8blz58aLF49uJkiQgC6jsojTX4TWhx9+6GV7SmTHw001DMMwDONNQj6AvKm7d+8eOXIEZ/fQoUN4xl9++eX333+/Z8+e1atXHz9+HP+NDMpMeI+rZ7xAHFfOBfk0ZcqU+vXrozF0J4cwn/NMGk484L6T2KJFCwSMWz5GmPQDBw6wGGbMmDFp0qS+ffs2a9asZcuW06ZNQ9StW7fu5MmTWgzUriL3oHSndVEo8R6kDkARBB5oWSrFzfdwyINUQ/LRzoEDBzZo0AAdiMSqXLkyEqtVq1aNGzcODQ3t0aPH9OnTvTekP4tlTDOWL19OjWgtBlyyiojuJRJBbhEBPipZsmTNmjVbt27dpUuXpk2bVq1alU9Lly5Ns0uUKEEcxUUe5FatWrVWrlwZGRlJy9V4j/8KLYbMG0omeObMmSwFdBQrAJWVygFdIdGlG1woDZQYEEd4JEqU6F//+hdt9V42GMsJeJlxxiMK4rNnz0Zo0ff48eNLYiE+0ZbEe/fu7WV7SmTHw001DMMwDOMNQ37UtWvX8Mpw9QIDA6tVq1axYkVfX9+AgAC8QD8/v/79++N36R4IPAv31HgaNC/i4MGDbdq0QWYUcb6bpOfQiODW47gTKVWqFNOKfCKzW/7hkAfv/c6dO0Tw8o8dO7Z3795Tp055z5QB60G4Zf4XZVBOcFP/F2WIHioRlOFhBT3IoDwoNJq3adMmpOB77733/vvvjxgxYtSoUZ9++umsWbM2b95869Yt5fSKxC20+erVq999952ehMzu/DpzdKEFJDILyN2JEyfu2LGDUd29e/fPP//8zTff9OzZEykL+ktEKCERmdDvv/8++nsX3cocXKFFxXxAKIUKTNLZs2erVKmCikBEJUyYEB2VOHFi4npuEJWF6EJ1SHohtzJmzEhzP/jgAxnRP1deAzQgwMTQTfqIvtLtrEyZMuXIkSNLlixvv/22hKxb5ilQXR5uqmEYhmEYbxL4ALgW+/bt69OnD/4Y+qpo0aLly5fHTS9durS+LoJr7uPjExoaOnbsWP2WkVvYeDnQjET5c44owh0fP348U1nGeZs5E6rn6PLly4ejz5yWLFkS3/3kyZMqHjPRjUfpHod7LqnUy3k/yizcpAeBHTdTNPSRF4kB8qgxTrkoWNjXr1+/ceMGEZQPWjF6Bi/ilo87ZBy9t2LFCv6s+Nvx8/OrXbt2rVq10LdoJ19f306dOn399deHDx+WglVjCLlEAC9duhRNOHr06JEjR3755ZdLlixBidELMmBfEld1if95dBCi9434nj17xowZQyN0U4swefLkRNBUKA2pL6QXKSiudOnSofDOnTvnWVD4SkMXvCGeO3du1qxZEVd0lnFgBPirQGURGTZsmDJHRxYoCIqD0r0MXqg8hDdv3jxy5AiynpnzEpVNKDGqfLTEe9CncH9mRbzLe/CUNrhJ/1vES4+ewTAMwzCMOIHjVSCcJk+e3KRJE30tpFSpUmXLlsU1rFq1arFixVBc8tRz586N144S++abbzj0X5t/c78eaCoVIWSCdu/e3bp16zp16uDTM6EoKyYXwcw8IrTQXTjeuILKHxucGv7rmwnFvURF7if6Rw/L9kBPkkQvXYkx4BT9LxRUqI+8EPSR4hA9Hid4Bvkz2bt37/fff49SWrVq1c8//7xu3bqNGzfu3Lnz8uXL0kvRayeutvHRrVu3rly5glD0RCwQUY8UerhC62FQkgKsibfffpu/8LRp06KpUqRIkdn50V7kFpIjWbJkhBUqVOjevfvKlStV62uDhk+DO3PmTDSV9zKMPHnyVK9evXLlyhkyZBg3bpyyCbTyH3/8sX///vPnzzMTzAp/Mwj3iIgI4gwRecivsSKFS/bT33777bvvvhs6dOg777zTtWvXwYMH//DDD2hd/b0pvyJew5w2PgB9eg+qVLj57oOPomdTU5WiiNcGcMsYhmEYhhFHcNTiGFy7dq1Pnz7lypXDF8f5xhfH0cITI0IivofuiqC48NFx2dFdjRs3PnToEKczFlxbxksGU6PbKQMHDmzRogVuJPOLcmZC9a2tkJCQffv22Qw+a/Rn4jizbkSJisQhjxZacqwRDGvWrEFp4P0HBwfzR17U+TU0/vhZHO3atdu6daserHxdFwf9+vzzzxMlSqS3X0DhwoX9/PwCAwPz5cv37bffaqDIxljNnz//3//+91tvvcVwffzxxxMnTpzs8Omnn86YMWPt2rV6baWmlvDw4cMY79GjR+vWrZs0adK8efM2bdp07ty5S5cuJI4dOxYBRinEGJnBbdOj8KpQxENNdTP9L3yqzE6hqDxe/B6U3zAMwzCMuILjlWM3MjJyxIgRKCtEVH7nDXU4XbheJZ2fGyKCrMIBwzUHeWJVHBYvXswR79oyXjI0ucAcnTx5cvXq1cxyhw4dOnXqhMvXsWNH/MZNmzYhsx0/yxytZ4jmQpF7UIa44tFCC2iKIsAff1hY2LFjx44cObJ3795du3YdPXr0xo0bXh5F3PKvPtF79NlnnyVLlixLliyZHPSdOVRW5syZ58yZc+XKlRMnTty5c2fVqlXvv/9+y5YtQ0NDmzZtimpq1aoVkom/paCgoLZt27777ru//fYbw3jx4kWMU2TatGnkadCgAXn4SyPUe2Pat29PSJwIf4RDhgxZt27dzZs3KaXmPQw1G6hl48aN8+bNQ6pt2LBBPyrHpw/biL3+KlTEi1Mq+qVbxjAMwzCMOIJDdv369YGBgQUKFCjmvPsbKaVXSON16KtZoIcGc+TIgROCK4IGIz5q1Cgd064t4yVDU0OIE0V4+fJledQ4kHoGKmrynE+V33h2MMhyazXampE4H/lYCS2hyxgSvY+IvE6oUzBw4MAkSZKkTp06bdq0CK306dOnS5cuZ86c7HFsiMihSpUq+fr6Evfx8alQoULFihVLlChRtmzZ0qVLlylTRjf92TRJR1a1adOmTp06LVq0aN26NZLM39+f4lWrVsVC9erV9RB2jRo1ypcvT/6AgIDatWvr3ZeTJ0/etGnT8ePHUU38iZ46dWr37t0HDx68cOECGuzatWvh4eGIt/3795OzZ8+eDR1oHjUOGjQIubhixQo9hBoREXH79m2KnDx5EsFMESzDTz/9NH78+P79+7/99tuIwCVLlsycOfOLL74YPnz4uHHjPv30U4Tl1q1b2RS88dFYGYZhGIbxuOgkBTy/33//ncMXcYWDgc+AoPJeOU1Eb6PG8dBLyLI5cJnFAZ9h/vz5+IuuXeNlgvlV6OFd3pMOUQWMZ0b0EdaAg3sdpzxCaBlCGnfIkCEpUqTImjUrWxtaK0OGDMmTJydOBMXFDshOp29wkU2JoDtgXKpU4sSJScyXLx/qC+mVPXv2RIkSId4oqw2UFEIyADssISlYoBR7a+HChdlG9VJX1Frbtm3r16+v9JCQkE6dOjVt2lR30hB4FEe2ofEqV66MbEPmValSRQ8Es4Mj87AQ5MCnyDwgD9bSpEnDxk2kUKFC1apV8/Pzw37x4sWpGms0j8bTgI4dO27ZsoVT4RmtTsMwDMN4E3DcvKh/qP/xxx/t2rXjLMZnwAHAN8DrwA3QQc+xnjdvXlwC3An8DbQWeTiv8TFwNshDBnwVE1qG8ZJgQusReHsf8UmTJrG16f9GhGxwbHaoI3Y9tr/cuXOjT5BYbI5ABj4F9kcu2QRJgZw5c1JEX2bVC2coSKIysF1iHGsoGfQM4g3jZGCfVdUoH3ZVffO1hgMqCPFDflIADUbBpEmTStqRmepogywToS6sEap5qVKlImfFihVLlixZtGhRRWgAYIeytBMZxt4NZMCg+osqCwwM7NChA1rL9nTDMAzDeGI8Z+OTTz7h8M2RIweqiSOYs5uDW86AzmU8ATwNzu4kSZKkTJmSg54MwIHOR3Xr1t2wYQOmXLuGYbxQTGg9Au1Wzgb418SJE9nUkCWEiJbEiROzA6I9UCCoEcJ06dKhcAjRYOx3ehc8Idn0PyeUmFLI7+/vj0YqX768JBDpfIqaIqQKEkmRuJIFLlFH7LMIoQoVKuhl/0ggpBGQwiU2a9euzSXajBqTJ09OY9ivKcilnuTGJols0xhkH2fvZiuXVOMSCQeOqipGCqaojnipUqXQeAULFiSROKUwSCn29Dlz5pjQMgzDMIwnRm5GWFhYvXr1op4RdJ6R0X9FCYmnTp0a3wA4xAnxQ3TEJ0uWjNATWkFBQTt27MCUa9cwjBeKCa1YgZBg25o6dSpbG0KI3Y2dLn78+AkTJmSPI47cQuqgQ1KlSiUZA+SE/PnzFy9eHH3Cp2yCGZ0nqnUDKjAwsFKlSmgndBFaC1Mqzh5KhLJsrNpb2WexI/Gj1w1RHMFDcR8fH9KRQ3pEEGlEOnsupdQALNBg2kOEjZiKaAa18BEhcSwjotBO7OyILorTF72/qHr16oT0rkiRIhJvpAQHBxNKetGMyZMn37hxwx0pwzAMwzBigaOtosDH0E+/HDhwgOOVEx/0tAsRDnQObtwPwDfAhSBRhztxneyk6D+zoaGhZ8+exaZbh2EYLxQTWo9G+yDMmTOHrU2bHaIIoZUkSZJ//OMfyC02xKpVqyKB2PXSp0+PqkHbSCyRgpJBq6Bh0FRcIopQR4iigIAAIpTy8/NDIEkdsV3myZMHPSZphBEilNJTfEgsckq5oXNQO4BxQtQRH5EHaURmWpg0aVKaQSPjxYunlrNZI65ooRrJ7qynERCBVEEvsEOcFup7WVSBfvPed0SEBtBytcSpvFSHDh22bdvmDpZhGIZhGLHA9S3+ftcZQmvkyJGIK+BE1r9BiXBqI6LkD3Cy4yroU850yS0y6GQn7Nix440bN7Dm1mEYxgvFhNajcbbBKGbNmsUuxg7INpcoUSKEFhsc2xx7H1seygftkS9fPm12wEekA/lJB4QK+yNKplq1avp6lb+/P7qFEFBHOXLkQGhpY0UmURYthNopW7asJJYi6BxUEMoHy1hD7ZCC0kNiYbNYsWIoMUxhgXYitJBbtIqdGimFTeQWLQciiDpaTtVqWIkSJSiLBSJkxr6EHx/pxhf1Sm6h62gAMqxp06br1q1zB8swDMMwjFgg10Iq6/bt29OnT+dg5ZyFjBkzcmpzjhPhBEdTcWQT4m8ILvWsCkc8Z33ixIm5JLF9+/aYsuf5DeMlwYRWrNA+OGnSpGTJkukevfY1QSKKBSmC8ECfIEsQMxkyZNAtKSSTNIwewEMUIU5QRAEBAfXq1atVqxYaCa1FOqomV65cyBs9nI1O07N86CtfB7JR0MfHh1oQPBhkOyYsWbIkKXyK1kI1EVEK9WJEjwtiiggpyC0qYgenhYhG5B9FaB4GQUKOS3ohPcbOLulIXC1EcdFmSpG/YcOGI0aMCAsLc0fKMAzDMIxYgGsh7+L69etDhw7l/MUT4Gwt5nzlG+RLeLezdCITcrIjq5SCN6IHWHA5iAwaNAibbgWGYbxoTGg9AnZAhexcU6dOzZgxI3sfGx8bHHJL/15CkCCH2BmRPdWqVatQoQJqBK1COrskIG+QWAKJQgbJLcknCmpvRWJJqiGTkDSU4lL3jihFHopzSUGMUwqJpU/ZnfmIFEJKIbQqVapEnGaw8wLtpM1AYyS6kFjIJCqtUaMG8kyCjeqI0ABCekfX2LvpL7s8RrjUbTGsYaF48eKovnfeeeenn36ybd0wDCOWcKB4uEnGm4SmnnNTP46CyurTpw8OAKcq53K+fPk4YTmvOW0JOXaRVRJXeCCEJOIh8CmySqczkSRJkvARl9OmTZN4cyszDOOFYkLr0ThbYhRTpkxBiqA3ALGRJ08eNkRSCH18fPz9/atXr960adO6devWqVMHEQLBwcEBAQHoGcRMixYtBgwY8N577/Xo0YNw+PDhEyZMQKggdWrXro3iYpNFYiGckE8VK1ZEOIHud0mSYYSKMEuEzCguLKOLuERroY4ohb4iP40hUfJMd9Jopx4CJBsbOlKNgmoYNZKBjwjJjGV2efbrTM6LENnlKcjOLsFGerx48djuMUiPNm/eHBkZaULLMAwjlnCasGcKN8l4Y2DS0VeC0/PXX3/t0qULx3q9evUqVarE6ZzTeQEG5y/o37V6qITDF/RIIU6InifU04MILSKc15zLHMryWNz6DMN4oZjQegTehkU4aNAg9rKECRMmTZqUbY4dkD0xR44c+fPnHzJkyIEDB5YtW7Z48eJ9+/bduXOHDfTmzZuEbKZ6mxB4OywRErFJ5Pbt28ePH1+7du23336LnQ8//HDYsGGjRo3q379/+/btO3bsiFqrVasWcggVhLiiOj23LZWFQEKYoZEQaSg9LsmG2PPz8+NTpBeNBN0H4xI7aDbUHfkRcoSFCxcmBbNcSpKxfSdKlIieEkpVso+D/qPGLk8tgwcPPnr0qBwFeuSMlmEYhvEI2Pm1Z+pwMd4oODR1bnKAcuJzuAcFBRFWq1atXLlyelwQUFkctXoORZe6qUWcRI5jXRLhgE6cODEnNYoLI6dOnbIT2TBeHkxoPRr2RCmijz/+GKHF7saOxgbHZpcrVy4kR7Zs2T744APyeKgIUNwLFRH3JBJq5/UuRXh4ODsmMmzXrl27d+9euXLlnDlzlixZ8vXXX7/77rtfOHz22WczZsyYPHnyV199tWrVqjFjxsycOfPw4cMbNmyYMGHC2LFjR44cSeK8efOWL1++ffv2PXv2sL/v2LFj/vz5CxcuxEKjRo30vzR2+UKFCqV1HkVg76aPup1FJH78+AkSJOCSziLz6Di1qJG0kJBmG4ZhGNHRJsn2rkNB/1Y7cuTIpEmTpk+ffvLkyVu3bt29e1c5vVMAnNLGa4Lm1JvfiIgIDtCaNWuii1BZwcHBPj4+JUuWzJIlC34FDgancHbnd7HwNwhxM/i0aNGinMVcEsoPkcrSeS1JRraNGzeqIsMwXgZMaD0a7VmEo0aNyujg3MBPq90QyUHk7bff9rbRZ4TXDELq4mwmrkoJ9ZEuFQHdNFN+ULp3SQSNBJz0ly9fRryhuPz9/fXwN4IqXbp0dM35b1rUmznixYuXKFEiEtnWUVwIM/3nzLNmGIZheLAxakPWPvnHH3/8+9//btWqFTttiRIlypYti6vdsWNHRNe2bdsuXLigzM6Gajvqa4UmlFArYcGCBVJZtWvX1ve6OU8rOj/ckjdvXu9Jk/z58+fMmZMzFx1V3vk9FSIcyoQcwagsPTdIqEcNlXnx4sVRC8iWkGG8HJjQihXatgYOHMjuhrJCdQj2O7Y2Ig0bNnwO+5qqcNriijrvVPYgJbr4Ia48hOAVF1yCl+HgwYPjxo1ji48fPz79YgdHWambwG4uAUYkd+7cxHv37h0eHi7JJ1OGYRiG0DbL9njz5s2VK1e+//77pUuXrlWrVpUqVfQFWk6TzJkzFy1aFIcbAbZ27Vq2UzZtt7zxuqBlwMyyEpYtW+bv79+9e/du3brVr18foVW9enXCqlWrsiQKFizIp6wHHx8fQvQYJzIyjE/LlCmDB8L5i5rK7rw6mHOZA5oIx3Hq1Knz5cvHclq4cKHOdLduwzBeKCa0YoVzXP714Ycfoj2kQBInTkyYzHnnDxsfG+Wz1htqgxeJTvQMnrIihYiapBSFTt6ozAqVCJJnd+7cmT17Np36xz/+Qagf6GBbByIZM2bkGGA3Z5fPkycPJ8HSpUtVXGYNwzAMob0xPDx83Lhx+Mr6Vq2vr29gYCA+tB7VLlKkCGcKkbJlywYFBS1evJhNWPu28drAMmBODxw40KVLF+a9YsWKzZs3b9SoEcvAz88PEQWsEBZD/vz59aqqChUqoMn79eu3b9++06dPE0GfZ8mSBX8DZaWviOfNmxdtVrx4ceQWpzOKHbm1YsUKarQlZBgvCSa0Ho3+v8hGyWGJuGI7029nERcJEyZkizx37hx5VORZEHViO5u1dxk9UZdCcS9UxEtRxINLFY8efv/99//6179QUylTpqR3+l4Wmzu9Rl/Vq1ePHZ89nZOgffv26riQNacSFyWCLHuXhmEYrz3se9999x1SCoeYzZNIMeeXOcqUKaO3eBcoUIAI7jUZAgICatSosWDBAv3bi+K2Yb5yeBMXndu3b//4449NmjQpXLhw9erVOUAJkVtcshJQSiDJxArBx8icOTMqC9UdEREhC2FhYa1atUJZIbGyZs1KNlYO4hxTlCKFtYSFtGnTbtiwwVs/hmG8cExoPRrtWTBz5sw0zu9UJEmSJPXfpHJ+bKpZs2aXL19+DbY23AK4c+dO27Zt/8//+T/0Ll26dGzi+pKu+stuXrJkyXLlytWsWdPHx2fMmDG3bt3SEIFr6G/c1L9xUw3DMF532EvPnz/fsGHD0qVL41WzkaK1pLhy5MiRPXv23M67vLksWLAgKeyrOM1t2rQ5dOiQu2M6uOaMVwHNlyZO/6XFNxgwYADKSk8AAqcncUIkt35VRbc6WSTEOW2RT2vWrNG3rAV2unTpgjBDayGxUOYUUUFWDonEWVpIr88//xxdx9qLao1hGC8aE1qPRtsc29aMGTMkPFBWKC6pDuD4ZGsjg3bDVxrtzuzvx44dq1+//v/3//1/KVKkyJYtW6ZMmTJnzqwtHm+gfPnyerK8du3aISEhP/74o7qvgZIpIC70EbgfGIZhvO6w4/3++++BgYH+/v6VK1dGU+FV40wT5suXT69vxTkGPmVTLVasGHssjviECRNu3rypDZP9U9aMVwLnoItC8YMHD3br1g05xLQinwiRWFwy16hr3dKEMmXKsEhq1KjBqcqCmTdvXmRkJMWZff2rl7BDhw4oc/Q5pQoVKkQRdBcqHQ8E3cW5jMpCvHFw7969W40xDOOFY0Lr0Xg6YciQIYkTJ0ZfJUqUiBAFoq8wcV7OmjWLDG6BVxl6of4SXrt2bdCgQWzr7OBs6HrrEYcE6JeOiegHlIOCgrZt20ape55YwAia7fLly+fOnbt69apeZPx6DJRhGEbMsAHu2bOnZs2aRZ1nBfGPca/ZMNlL2VFxmvGPifv6+rKX4m2jvhBa+Mr9+vVjw2SrtN3ylUOzBiilqVOnMr/oaj8H4pyYupHFeiDkIz06yHmKvmIl4GagzfSVb8COF8Ga/stJEVYOskpyHdHFJSsK/cYqQnp99NFH4eHhboMMw3ihmNB6BM6GGQWbZrt27RBaadOm1TswvJta7HQjR47UVugWey1ANR04cICdHScA54AzQIeB/m1WoUIFPsJ1ALb72rVrHzp0iOOBghoHia5169a1bNmySZMmTZs2bd68+fvvv79kyZIjR47cvHlTI6ZQONUahmG8DrCnrV69ul69elmzZsUDxg9mtyxdujRqSu8zwM9mL61YsSIh8WzZsuF84zEPHjxY+6GzL9rG+LKjafJONLh169aUKVPQ1egi5rd69eqcgMHBwRygXHKGsgxIDA0N1evdS5UqRfonn3yCQMKIa/d/YS2xPLRC8DownjFjRuS6DmLWGAcx8ezZs3fq1On8+fNee9zyhmG8CExoPYKo7dMhIiKiffv26ZxfbU+ZMiUbnIQW5yWn48cff6xsbrHXApTSnTt3OPLZ2fEDatSowZFAyKmg12fpDYR8xL5PngYNGly4cEH6SrDFjxgxggy4Ghwqfn5+CLZatWohvd577721a9fu2rXrypUryunWahiG8VrAzrZgwYJKlSqxQ+bPnx99pTsYxHGLOTiUqBcb4DezneIx4yuz67IlAhZcW8ZLTNRp50CcE5BzrX///pyVOjQ5HCtXrqwbVlWrViUuoVWzZs3WrVtLZrdr127FihXIsxiOws2bN7NUsMYqYrVAoUKFsMMlugt9BZzLpLRo0WLnzp1qj0LDMF4UJrQegbN5RnH37t0OHTogsdBaqVKlypIlSwrnJe9p06blpBw/fjx5YtgiX0XUozNnzjRq1IgNvVSpUrgIUlm4BaTgEHBgkEgEZyJPnjzs79evX1dZiIyM/PDDD4ODg1FWTZs25SwJDQ0NCgrSbzUS1q5d+6233lq1apWeR1e9hmEYrwcLFy4sXrw4nnTu3LnZIeVq4w0jsXCO0VoorjRp0mTKlAkvOWPGjAgtMnfv3p2NlC3xNTtTXlec4y7qyXn8hCVLlnBi+vj4lC9fXg/YswA4LgEhTTpnH4dm9erVkWGEnJ7vv/++9/JejLhG7+Pq1aucnmgtVhEHMesHsKlVpBdW6cUqAQEBv/zyi/dPT7e8YRgvAhNaj0D7FKcdexZCSw8NJk2aNHXq1IguIsgtDsjRo0crp1vstYBe0yM6PnXq1CJFiuAoFC1aVM8NSnRxkFSuXJmPdMuLA4A8/fr1895Ie+3atc6dO3PqNGvWLCQkBBmG0ALiJCK0OGn044xLly41l8IwjNcJ9rRNmzaxW7I94nDjH+vePv5x+vTp0Vfp0qUjwpmSOXNmwuTJk6O18MsbN2588eJFituu+ErAYUcYGRk5Z84cdBQnI1qaSee45IhkQnUPSl/Aq1KlSmBgIOdggwYNatWq9e67716+fFmiSDMua/dDeu/evZFSHJrYRFbpviigstDqpOiYxv727dvJL9zyhmG8CExoPRr2Kfa+GzdutG7dOkmSJKlSpYoXLx6Ki0NRWovDcsKECa/xjnb9+nWUZIUKFfR8i44QHx+f0qVLlyxZkiOkYMGCbO4ITj0hs3jxYo4NBu3OnTsU1IkiodW0aVMiwcHBQUFB9evXr1u3LpccNh07djx48CB1vcbDaBjGm8bZs2fbtm3L5sl2x07I1ufn54d/jKBCWeEZI7RSp07NIQIcLiiuQoUKtWvX7tq1azH43MbLALOjOYK7d+8uX76cyUVRE3IUcj6W+Rt0EecmM8tZWbVqVYQ066FDhw7Tp09HZcV+ovv06cNRi1SLfkeUkIXE+Sshh8qiip9//tlrm1vYMIwXgQmtR8AmxW5F5OLFi+iBf/7zn4kSJUqYMKHeOiitlSVLlmnTpr3eO9qtW7fGjRvHgcEpQsgRwobOjo/u4pJDJV++fLq1xYlSs2bN8+fPa+hOnjzZvn17ZFWdOnUaNmyI4pLEqueA0GrUqBERxnbKlCkRERF2NhiG8XrAPvbnn3/iTOfJk6dy5crscuyN8pLZM3Pnzp0rVy78Y7xk9JU8Zgmt1q1bh4WF6ehRaLyE6P+JzPLx48dHjx6tl14wy+WdN/SWLFmSUI+J5syZk7ku4LxY0tfXt1q1ah9++OGhQ4fCw8NlJDazTEWff/45Zy6nMJZ17LK0WEhYRlwFBASwujhqOZ09nwTc8oZhvAhMaD0CNintpDdv3kQh/Otf/0JoJU6cOE2aNAitVKlSJUuWjNPxtfyOloe6hmTi+Nf3stjldWsLxaXv9eIc8BGJBQsW5Fzp27fvhQsXKHj37t0ffvhB4goUCQkJQVwRDw0NbdmyJQIMxdWxY8cDBw5QBNyKDcMwXlm0m61ZsyZTpkzsmUWKFNHjAEWLFs2bNy8HBy4yYcaMGbNkyYLEwhdnIwWcdfbb1/VAeW3QUXX48GEONT0l6Ofnx/wSlxYqU6YMk47KypEjB8eiLosXLz5p0iTvAXuQjyGbMUAejkh/f3+qQFZx7KK1WEvAyevj44OEI5FmIPmQ9zIbG8uGYTw7TGg9AjYpdittWJ06dUqYMCH6KkGCBOnTp9f3tbjkpFy7dq3yuMVeOzQOW7Zs4fzgwNCGDpwc5cuXxzPI5/wCDMcJOz4ppHP2fP311+Hh4Xv37m3evHnNmjX1377g4GD0FUKrdu3aTRyaNm2K0Grfvv2SJUtU0Ws8koZhvCGwj8HEiRPz5MnDtlmgQAE8Y7ZHNsnUDhkckFgcIpwp2bNnxwsnZ8OGDY8ePRp18Nhm+JKhORV3797dsGEDhxeCGYmFvEFcccxxSlaoUIGp5EzkIw7HkiVLciaS3rhx4/Xr11PQm1xCmZX9GCDPiRMnAgMDMaX/b+rfmhJvLCokFkczGoxI7969dbssNpYNw3h2mNB6BN4+SDho0KAkSZJwLiZPnlxCC5XFYckZqZ/rfV13NG3WwCAsXLgQNSUpxRbP+UGc7R4Hgn2f7Z7DRscMez07/tKlS69fv/7ZZ5+htZBYIQ6cTHgSaC0UV4sWLbp06dKsWbM+ffqcOnWKWqjOrdgwDONVJiIi4t///rduZ7FJsmeyT7KFpkuXjqOEcwSVlTFjRkLtoqlSpcqUKVP79u137drlbbyuLeNFwwkImhRmlnOtaNGiHHmchugcPR+I1KlSpYqe7+BAZLo5DcnGqTdlypRLly498YRS8MKFC507d8ayRDsSTl+cBmrkwEXvcfJSY4MGDfSy+CeuzjCMOMGE1iOI2lD/1lrvvvtu0qRJOR0TJkzIAZkyZUq0FiF762+//fYab2feCHDwR0ZGTps2LW/evBwtbPH4DQgtdnY8Cd3g4mghpVy5cvXr1+fI6dSpU1hY2MWLF3v06IGmatOmDXKrtgMZGjduXKdOnaZNm3J4rFy5MuoQc1C9hmEYry5sZWyeI0eOZKvED2a3xBcn1Nd1iKOv9FZuInqZAScLQouN8cSJE1iw/zq9bOg0vHHjxqhRo9DGAQEBnHfO43tFOQGJ+/j4cBoCEfQPZyKJ1apVmz9//lMqZ5Xdtm2bv7+/HjHVY4ooPY5gagEkFsduiRIl2rZtq+XnFjYM4wVhQusRaJ9iwwoPD0cP6DjUyzDSpUuXPHlytBYpCC0v8+uH+kUIDMXdu3e/++47PReRJ08ezhI2+sKFCxPR/9I4cjhj6tWr16RJE46B0aNHI88OHjzIAOp7WaSHhIQQR24htEhZsGCBdwiZb2EYxmuAdrNp06YhpdgttWGisrJmzapXxgFyK23atBkzZtTruYmjtfCSb968KSNsuYoYLxydUMeOHevQoQNTWaNGDb19lyMPzcPxp29qcTiiwZDWCB6oX7/+N998c/v27adUPhTnJGVFDRkyhAOXWjhtqbdSpUrUovNXjy+iuFq2bIkapDpbP4bxYjGh9Qi0TxFevHgRYcBxyNGoHzwhTOWA4tq6detT7qEvOd5mTQRu3brFPs5oFCpUSM/D4EPoGQkOHuC8IQ5K1M9kbd68GYnVsGFDVFaDBg2IDxgwYPXq1du3b4/+vkFQXfcT/VNFVEophmEYLw/OdvXX9OnTkVV43rjjOMG5c+fWE4Mk6j93gnS20yxZsiRLlgyhhT8Ntrm9DGgWCDluFi9erJ+x4lxD4aBtAgIC9LUoKS6mGLWjZ/mqVKkSGhq6fv36O3fuRC0FB9l8AlScNvzwww/58uVjtWjNqC4UF/XSAEQXxyuRLVu2sITcwoZhvCBMaD0abW1slF26dMmQIUOKFCmSJEmib2ehsvSj/hs3blQ2t8zrC93U8T9nzhx2dnZ5dny2+zx58hABEqtXr85erwMgV65cKLFatWqtWLGCgkeOHEF0zZo1a+rUqT/99NPZs2cfd9Co2oOybszBzWEYhvESwKZ08eLFd999t0CBAn5+fmyMZcqUyZo1K2qKDRN0I0vPEJLObslemi5dOnz3a9euaU+zne2FE3W6OF/Kmj17to+PDyoLiYWqAS5RU5x65Z0fKUbwoHA4B8nDp0z68uXL40owqxmwe/fuwMBA3QtlzXDUcsgCGq9IkSK0LSgoKG/evFOmTKGUaS3DeLGY0HoE2tdw6KFTp06cixyHuotFKLnFealfYSePW+z1hW4qvHTpUps2bRgNPAOOlsrOQ4Ns9IQ4E2z3HDmlS5fWP9s4jZo2bXr69Omo0YwGI+aFoCpiQNmi4yXKiLIZhmG8DMyfP5+90dfXVxtj/vz5s2XLhnNMiMTCI9cjEoRorZQpUyqdjVRvBsKCbWsvHA4X5MoPP/yAhilYsKDea8K5pgc3EFrMLGccIZdILI5FpHW9evW+++47vWAwTiYRI7KD5Ovfvz+LhOMVkHnEaZLepwI0rGrVqgMHDqT2OKnaMIwnxoTWo9EuyYYVEhKSJk0aJFayZMnSp0+PygIuEVp6dNAt8FqjXZuQ/h46dKh+/fp0H0HFXs9J4+/vj0uBY8FGDyRWrFiRHZ9EPz+/zz//nFIQ3YggrsSYURHCGzduXLly5YJDWFhYeHi4PgXlNAzDeOGsXLkS/xu3O2/evHrEOnv27Egp3cJCaCG6dMlGSkqOHDm4LFGixLFjx+xexEsCwubnn39GZUnGFC1alJDZ5ODTTS1SkFhkQHQRZ8aHDh26d+9ebwbj5GCSEYXjx49nUXHIUhdaS03SMiMsX758s2bNGjVqdOLECTsTDePFYkLr0bBP4dwTadq0ae7cufUMfdq0aRMnTozQ0gujOE2V0ynxmuN1k8ju3bubN2/OLo9nwI6PpuK84exho+cc4gAgvZTzu42FChVChu3fv5/B5PjRCaSBlSlFYoZst27d+u233zhmPvzwwz4On3zyyYIFCw4cOMBxKDuEihiGYbwo2IUuXbrUunVrRBSbIR5wqlSpUFM5c+ZETWVzfrAYz5gTRA8NEuEjMrOjsqHF/j9QRpyjkYcbN258/PHHHGGcZUipIkWKlCtXTsdcjRo1ONQQWswa84jUIfT19f3yyy85jDjjKO6dcU8P1hQCVVAdDfDz8ytevDitYtmwopDxHLjVqlWrVatW3bp1Z86cqVKGYbwoTGg9Gu1rRFq1aqWH6ZMmTZouXTrCJEmScHCmT5/+xx9/9LK9OcgPuHjx4ujRo0uXLq3HBdnuCxYsiNDSc+qkc4mHwUHFKRUSEsJYRf+5RtdW7Dhx4kSXLl2wg1kOmLJly1apUqVBgwaNGjVq0aLFe++9t2bNmtu3bztTYaeLYRgvEnahU6dO1alTh90PdxxPHUGFL46mQm55L3ZXKN2FHgsICGDPXLVqFTukjMia8Txh2FFKmzZt4tyvWrUq0qV27dqBgYGcOMQ5fYA5rV69OsqKRKaMbL179163bl14ePgTnG6Pxe+//07VCC0kHw0jwmlLG4CDmBA1WLly5U6dOnHaumUMw3gRmNCKFeyYwJ6VPXt2tFaKFCnQV6is+PHjc0DmyJHjq6++etYb60uIhkUdnz9/ftGiRfEh9A4MhBYHAHAJDBEeBuoIVwN1hNZScXkSsWfPnj0cdQgtjjpONXQdZwnnDTaJ6/vHQ4YMuXr16uNaNgzDiHN27dpVqlQpPTSIlGIn5BDh1IBMmTJ5b1QiQpgnTx52yzZt2rCFTpw48Q08U14eGPlFixZxuNSsWTMoKIjjBlBWnDKcbsgYzjtONM44hDHnTnBwMOLH+07Us547BLwe1KcByDxpeD1AmC9fPrwUmsRHoaGhdhQaxovFhNYj8DZN6NmzZ8aMGdnC0qVL53w/K0WiRInY3Tg7J0yYoDwq9YZAfxmfP//8k9Pl5s2bgwcPTps2LQ6EviXs9/dbttj9SWSU8CE4D3RQbd26VU8PPha7d+9u1KiRHk2kFixjED8GOPmoi7OQc/Gbb755poecYRjGI2EXOnbsGNsgR4buX+XOnRu5lT59elII2TA5R1I6JE2alH2MA6VBgwY40J9//jkW3rQz5eVh3bp1nDKImZCQEI6zIkWKoH45YlAyxDl3pGTQWmQjz4EDB5hunYkerq1nQFhYWMuWLVknNWrUKFCgAOsKzwTQ6qh6nb967uMJzlnDMOIQE1qPRjtmZGRkp06dkidPznEInIupHdjgsmfPPnnyZGVzy7x5cMCgtQYOHJgpUyYOJA4hjiIOpHzOz30A7gX7PnAGcDK1aNHi/PnzGjFCioNMxcD+/ftbtWqFfWRVlSpVsEMtxIlw5nEKYp+jsX79+gcPHsSgLL/J82IYxouCnefu3btdu3ZNliwZKgs4LACJlSZNGkK9upY4BwoRdrOiRYtWq1YNB3ro0KEcOm/I9uX1MXrEiz9TVEvU8fM3TNnatWtDQ0M5v+rVq8dBw3HGoVOwYMHixYtzfnHWkOLjvGaQFIT06dOn9YSewucA7ezbty/KnKWCvmJR5XB+lk1ai8TKlSvjnNDIS5cuuWUMw3gRmNB6NNrxw8PDW7ZsmSRJErRWggQJODj1vAdkyZJlyZIl5GHvc8u8eeiLvzdu3Ojdu3f+/PnZ3zkDOJnY63EdiJNYsmRJDgC0ECHH1ccff8yxRCmKx3Lotm3b1q5dO04+xFWlSpWqVq0qcYV9Ijr8/Pz8yLBs2bKoafsbt7xhGMbzgp2HjbFjx45JkybNli1boUKFcII5L7w7WoqkdUBr8ZFuR+Al165d23PfX3ui9I2De/0chRaoXlV3/fr1Tz75JCQkhOOe0wR9xeGi/+UR4VKgwYADLiAgYOvWrTrIsPPc2kxFCxcurFu3LrIcsZcrVy6prHz58hUoUICjsHDhwpkyZeKI3LNnj1vGMIwXgQmtR+Dtnuyk3bt3R2hxNCK0OBQRWlmzZiWFcM2aNW/4DXodMIzV1atXGzdujK/A4cSmz5mkb08RchhwMkXd1XIet8CZ+PnnnzXCGmSZioHjx4/369ePsw3jVMFxAt69LBKxiWW01oQJE3T4Cbe8YRjG84Kd58aNGw0aNEiVKpVuVeGd60eKMzgvwMAzRoBxSSIni77HxZ7JDoZbv379ev0DyzX3+kIfdQQQ6lLpzwHqElTNaHNwIFHq168fHBxcokQJdK9uFnFyMXdccqgxNRw0HDoosUWLFlEWO3IA1P7nAJVeuHChdevWlZyf9qJVHK+sHxYPDeNwRNKTQlNnzpzpljEM40VgQuvReNvokCFDkiVLxp6LuNIb3jkdiRDOmDEjaqt+gx16DhjQIKxcubKQ81v1nExILCL4E2z6KFJAcUkd4Uy0a9du165dKugaihG8lqFDh3K8YYFQj3AgsYhw3oCEFmfkxIkTr1+/LrOxNG4YhhG3nD9/PigoCA+Y/ap27dq4v6lTp5bW0hNfKCt9fYsUpFeBAgXY0NjH2NnYxKL20zdg++J4vXv37sWLF/XOWOKRkZGSLs8anT6E1IiyZeQRJyEhIcjjcs7vQEq3MCmcZegZzi/yoJnJMH78eBrsHXxEnk+bgbpu3rxZr149tB+ri2XD2UrzaCdw5rLSEIqssV69erllDMN4EZjQejTaQIng4qdIkYJDMVGiROirVKlSJU2aNF68eEivKVOmaLdVkTeciIgIRCmbvm5kFSxYkO0e34Ktn/PAezZGP/QRGhq6bt06Rk9wUMVwVvHR0qVL0VGINAk2qsCaDEKVKlWqVq3avHnz1atX646WW9IwDOP5wv6zceNGPPVcuXIR1qlThwiaiiMDWYXK4jQBXOR06dKRnj59eu2ZhOyW7I1hYWGv2SamfZ5OAZGzZ8/Onz9/9OjRn3zySfv27YksWLBg7NixkydPXrFixenTp1Ffyk9ZlQLPgmw+ASrOgcIxQYjKmj17NgcK4oSZQkTVrFmTyWIiKlSo4Ovri07mlEF6IWMCAgLGjRu3Z8+e8PBw2XGNPkeiBvE//3nnnXeKFClCw4oWLaoVVcz5uTbpLj6iL927d/ca+bCmeulOxv+iRMMwngYTWo/A3W8cEA9JkiThRERfobgSJ04cP3584uxx8+bNY9dzy7zxMBRXrlzp1KkT/oS+oMXuzxmgM0zHgB551wst8D92796tslJZjLYu7wHLly9f7tevn95niAWcEg6/SpUqIb0IOQ5r1KjRrFmz9evXP8yIYRjG8+Hbb79lD2THy5gxI5tVtmzZEFSEaCo8Y6ms3M7PamXOnJmQrRJIQWixZ65du9Y19FrgHKRRMunYsWM//PDDyJEj33rrLfRk7dq1ETbs6miYkJCQqlWrBgUFdejQoXPnzu+///706dN//vnnP/744+TJk+giissOuHYfH8rKDnEOHexLSnEe0Yy6desiugoXLqzpIFKoUCEklh7E+Oqrr27evEkpLFBc4XNGjR82bBjnIA2m2awW2okyJIS8efOSyEi2a9fuzp07ZNbZ+jDIAF7cCw3DeEpMaMUKZwv66+OPP06WLFny5MmRWwitRIkSxYsXL02aNPj3cutfyIb7EsI4AFprwIAB0ldFnN+t16GFk6F/vCGTOAk4Jzi9GjdufOTIEY2zcG39L6RjeefOneTHfUFi4btw/lWuXJljEtnWoEGD/v37b968+datW24ZwzCMFwH71YIFCwoWLIjXi7KSmmIDRGJxqXdg5MiRg09JlOIirq8Gsa0R+f777x+2Gb6K0Jfbt28zJmPGjNHbydEtaKo6deqgbYKDg1FcUKtWrRo1aujfZ6gIlFjbtm3J4O/v36ZNmylTpsyYMQMJGhkZ6dp9fDhHdJpcv359/PjxzALTxAnCecRRov8Jcr6grzho8uXLx1FFe2jwrFmz0C1ecUJwjT5HVO+QIUNoHoepxJUkPYuH05aTkWORRMZW7+BVa93y9yGDEB4erh+iJO5+ZhjGU2BC6xFo64E///zzgw8+0IvdEyRIoNfyxo8fH91VrVq1Y8eOsTG5Zd54GC5FOAhbt27NoHFiseNnyJABNyJXrlwcBmXLluUkk9BCcdWsWbNFixaHDx/WaHtGFHo4H0Zx+vTpSZMmdevWrX379p06dSLkAP7kk09+/fVX76F5t4xhGMYLYvHixYgrdj+cdTx4fGIEFUIrXbp0ep0SLn7OnDnJkyVLFokuHHocfYQW4Elrx4OX54hRe7yIGqa48/l/N+ro6WSDn376qXPnzs2bN6/nUL9+fb3OHhGFlGKIKjg/TsWR4T0KjhLjHGnWrBlnREhICBqMgmz7a9askXFxT73eZfR08D7iTL9w4QJmU6dOLU2VPXv2IkWKcDxJumhqmCwOKbQfOnDHjh2UpRe6OyRrns3nDPUOGzZMTaWdxYsXl4aXnicRkFs0fsWKFbSZ/DE0VR+R7e6b8aJLw3humNB6BNqbxPjx4zkL2YtRDno5b+LEiYmzl+H3k4FNyi1mODAgV65c4VBklNjuOQbwNnQwMGjoK85UzlGOVX3J6r333rtx44YeyWA8sUBckfvhPLh06dIZh4sXL16+fBmJ5X5mGIbxomHvmjt3LodFwYIF2f1q1qyJSMAJzuj88H1u50dmcYtBLrLuq7Ar4jRLYzRp0uTmzZuY8rbElwG1hFCobYp47VQKeJ+SeP78+bZt2yJaAgICateuXadOneoOfn5+uqlFKCmlT0lHhnGCMA582rhxY3QREGnatCmm9uzZ41WqKryqSdRRok9J17d2daaQGBYW1r59+zx58qBsOX0Ydg53Rp5J4WzinGKCOPHRXSRySO3cuVN2XgbUrw0bNjBQNBUQioRFixalF/nz51cXGDrO1vnz55OZxr887TeMNwcTWo9AGxMhu/P06dPZgtl206ZNi8RKkSJF6tSpiXM07t+/nzzsZSpleHC2obWCg4PZ+tFXefPmLeK8JJdjAE/Cg2PMx8enQYMG33zzTeTfP9MJrpUHoQz3435sGIbxosHHRVaVL18eKVWmTBkkBJ59vnz59HUgfGLElTxj9kbS2RjJJl8foYX3f/z4ce2HL9X5os3Wg7ZxRErDREREsOefPXv29OnT0VUiHD16tH79+uzzhIGBgf7+/nRQN698fX0ZHE6KVq1akQGVpW9t6U4XoCiCgoLIQEGJrtDQ0D59+lCdajx37tyJEydOnTp169Ytb8S8UHhx8vTt25cjiYkoWbIkEdQUY85JxHRwpnOJ0NKrJsiwatUq9U7df+GoF/S6YcOG+CS0nKYSsqik1TWwCNQSJUpMmTLl5Wm5YbxpmNB6BNrOxBdffJE+fXqOwCxZsmTOnDlTpkz6NyRya/369ezgbhnjbxg0fXc5LCysVq1auXLl4kDlJODcqlSpEicBZwMpfs5PDBPhBOWInTlzpr686+Ga+1+8I5OI4iQqNAzDeOGwHY0ePTpr1qw4uwgqQhx6jg/dIWEP5DThKCGD3n4BhQoVYofEuQeysWf+9NNPmGKLk82Xgaht92+QH+ic69ev//rrrxMnThw5ciQCplu3bm3btm3Tpk3//v1///13stF+cl69erVly5bNmzdHJrHbMwJ0lp2fCKqgYsWKJCKxUFNIKVQW0kunA5+Sjqho3bo1xYl06NABFdG7d28Ol2+++aZXr17t2rWj0hYtWpC4cOHCjRs37tmzB0GldoKOCZoRGRk5duzYYsWKMchMCvaLFi1KS6iFMUfuMhFEou4TFSuG3NU7bF/CKbhx48Zbb71FI5FYjB6Ligh9ofGsNNLpEWvs3Xff9Y5IwzCeMya0Ho23Qw0cODBdunQcinrAg1BCK0GCBF999RV5XqqN+CXBGxaOW440DgPONs4DDgBOAsaQUwHFRSKXZKhWrRpH7IQJE3RAyoJj6V689OgRL34/+lRoTsH9zDAMI47Q3gJ45927d9c9fN0eYceToMqePTuaCtEV9eBg1qx58+ZlAySd/RDYHtkVa9as6ePjg4S4efOmDLoVPEe0e6t24V0SQeR89913aB40ldQRusjf3z80NLRRo0bIISKDBg26cOECdrTrDh48OCAgAKFF5vr165Ofzd/X15edn84GOVCQj+i+7muRH5soKGx26tSJAUFutW/fvmPHjl9//fWmTZvQV+SnVNeuXclGkXoONIlTe+nSpQg8tZk2hIeHc15TKZoEgUdBlJ7uMTJBDD6HOycRko8UNBgCkoJRY/Eyoe4QmT59OrIKaC3NZlGx2AiJ0xEirCsUqX112TBeFCa0HoE2JkK91yF58uS5cuXidERfpU2bFt2VOnXqf/3rX59//rltYY9k/PjxeBscb5xqHAAcAzgWJZ0fjcGx4Jzg2ANO3Fq1ao0YMQL34mnOBgqCLHjo8Q8R/SO3jGEYxtPBxuLtLQgt575IMSQWfnwB5/eI2QABcSUQXeyBSA7thOyN5CxfvjzbIJcIkjNnzrBxYdOt4PmivhAiq06fPr1u3bqFCxcuWLBg1qxZ/fr1Y8dGjdSoUQNRFBISgrzBrW/VqhWiCP3TpUuXt99++9ChQxoN2L9/f+fOnfWdqwEDBpCnevXqlEVfVa1aVQ8Koqw4BRgQsuklhMghNFvLli0RWhTp27dv//79V65ceePGDQ5f6pKRd955B+OYIoX8lMUUkmns2LFXrlyJiIj4448/hg8fjnGkXZm/38NEpfriHGcQw47ERfLRDOratWsXbXYH4mVCgwnLly+XvkJQsbo4VVlF6gLrihOWHjGS586dU363vGEYzwsTWo9GexPhkCFD0qRJw+aFxEqSJIl+4D9lypTZsmVbvXq1s4nZLvZQOKcvX77cokULjjQOhvz58yOxdGtLBx7oP4hFixat6Pwe/2effcbR+MSjSkEqvXjx4tq1a791mDp16rRp09avX3/y5ElZVh63gGEYRlygjeXWrVt4/BwTeMAILeQWTjA7m6QUcWAz5ExhM2Tr06NfeMzkwftHA2g/1KPp2HStP0e0PUZGRm7evLl9+/b69hSgXmgbEkhihggf0WDSkVvNHaSOODdRaBoQQkxt3bqVjygYHBxMZuIIKnIiftj5UW5EqAL7nBeDBw/u0aMHmmfevHnbt2+nGZy2p06dYmPHlM4Uikto0QYEEnGkFMWl3BCBNOzjjz/mQKEuBlkPJRJhRlCGzBETwYwgTtQpxAly7siRI7QZiauheNmgbbBnzx7Gn8azhFg8rBbWDxG6kDt3bvqF6ELVk43BB7ewYRjPCxNaj8Dbm9hthw4dqv8YJU6cWD+oxQmK9MqSJcvu3bu9nMYD4UhgfE6fPh0UFIRjwe7PmaonZCpXrszBgG+hh/U57ZBh+B8cGDNmzHjiUaXG48ePf/TRR9jEGvY5jbDJ4cpx+8UXX+zfv9+TW+AWMwzDeAq01wGqgJ0NN5eDg5DNh+ODXShv3rw5c+bUf5rYAIno/01kY1dksypbtizbIHHUCL7ygAEDOIBeiMdPX65evco+TEtoLdKlYcOGrVq1QtvoXhDKClA7pOPxk0hO1Av7POldu3bduXOnNyCK3L17t3///uT08/NDF0m2AdsyIacAZrHfq1evtWvXXrt27cKFC+zkyCpZkBG17fDhw40bN27Tpg2lMIh8IoJYQkoxgAg2mkF7OAL4iIFNlCgRI0+E6aA7tFMPPTL4zA5zwcgzZRRctGhRVIudhyA0FC8VahswPmhaFgmriKNNa4lQz0DSWa0xCS1GzC1vGMbzwoTWI9BeJtj3Ja4SJkyYJEkSQi5TpEiRKVMmPWAAbjHjQTA+bPSXL19u2bIlrka1atU4A3A79NgDRx0nBOccEY4NDgldTps2Te/G0PkqYnNgoH579+7NEYspTh3qAok6HBpq5GAePnz4+fPnZdMtZhiG8RRoP0FODBkyhI2OLYhdji0IP5htBy8/V65cmTNnzp8/P3td+fLlUS9sTXzKdqf/QFGECOloj7Zt2zZo0IBt87ntUWq/OHHixMcff0zD1E5Aw9A8Nk80DJIGTYJYQu2QwqcopVq1apHOJj9//nw0kuxox1YckAerVq0aOXJkx44dKYspBM/48eMHDx5Mdd9///2OHTu8b6aJ+9sGf/zxB6qvb9++SCYJNsQeIKs4X9B+KEAUF+Oc3fldlvjx46dPn57zhSNA44/Y44DgDGKCOBpQJoz2jz/+KF0nVPVLhdsyBwaNZcYak8TSWqJ39JF05ovp27ZtGzlNaBnG88eE1iPQRiYGDRqEuEqdOnWiRInYrNFaCRIkYO/Oly/f3r17lcctZsQITkOXLl3Y/Tnw8Dw4Dzge9D85vBC5I6BT0N/fX+981wgDp0VsDozJkyfjsmAN+5yg+lef/mGMcY4lGsCRzLmur0q7xQzDMJ4CbVMRERHdu3dnE8PxlRMM2t/w6dmUcufOzdnB1sQuB2TTTRhkDEKFzMRx+jt06MBOtXHjxufmJVORunDo0KE+ffogWmg/O6fayYaMoCIREYiYQd4gtIKDg4nzEcKmX79+K1asiP7+if+fvfeMr6ra+rY/3r/nOeeotFCSENI7IZTQk0AKpPceQhKSQAKE3puIglgAwYIKImKXIipWFFARC0UQld47Cb0FvH3fK2ss94N6IImQkMC4Pszf3GvPOVcbc4zx32vttcxx/wzL0aJHjx49fvz4qVOn5Jnsv133H1owm96Yy5cvDxo0qLCwEF2XasCWxMXFcQDZVNw7x5Bjjqy1srJq1qwZIbtJkyZyFtgp1CwCkgpngYUuLi7Z2dnyVkxzBXWBp556CkHFCWJ3UIxEUvYFG+MjUY+ThXpcs2aNHFuzj6IoNYUKrYoxHH45JO42BogrhBb+Gt2F48Zly3u0wOyj3BQO1IULF0aNGkV4IMJxACkJeETHoKAgEg6yE5CfdVkeExOzcOFCYur1kdgc68asWLGCBIVxGJ+shXEk0SEOEVlF17EwIyPj1VdfrZ33hyiKUucQ74SzmjNnjq+vLz4Nz4O3adOmjdxAiF/CEQHL+/bti3PLycnBGSK0EAnIAxQLdbrgu5A0OKulS5fWmI9i+9n4srKyZ555Rq5fsTFAHTXF5qFhSN8pSe5RMvIV24zoevTRR0+ePEl3GaTcU9/AV8tX17f8y0KQljeBYzJs2LARI0YMGDAgNjY2PT0docVmsDHARnLAGzduTMi2tbVFaNWvX5/jz3IOLOFG7m+UveBcsKf79u1j7WCuoC4wd+5cLIRY6ePjg71Rx5ZQ8hgYHzkOLHnvvfcqeUgVRbm9qNCqGPG5lC+//DL6ytoAuYXjRmvhxBEJv/76q7qwysOx4niWlpaOHj0aWUXkIxIQwonWRHHyEoQQy4l8hHCSknbG4zFmzZpVUlJCR+lujnVjtmzZQtYiWkt+sGRYAo9kPHxkOd+y0qeeeuratWtmN0VRlFtAfgy6cuXKwIEDcTgk9AHGywPlbi6WyE9LIlFwPkiad99919PTE4Ugt+SJvMEl4veoIAzmzZtXGad3W2BFsG7duoyMDLkPUP74hHOWDSOnZ9uosJy6iC5asi+nT5+W7hwBgbo57p8xvzb+BEUbKQXLt9LyJuC3H3744XHjxo0fP75Xr175+fnyp6zExMTMzExKZ2fnBx54oEGDBkRqonaLFi04pAQXjjYbL7c7slPAufjoo48s22OuoC7w2muvESKxMUriGpbG3rm7uyMyW7duLXr4ySefrOQhVRTl9qJCq2LwTbhdygULFuCycdaitRBa4OLiQuDctGmTurDKI8cTiMpDhgwR2UPmQcwjbBPR+SgCjIUsEXWEKJo+ffr58+fpWB6N/4iFlspfOHny5KhRo+SKFhGIEZBzjClZDstTUlKIyn379l2/fr3ZR1EU5dYQB7Vr1y4cDm5HIA9uazwaDj+G/8EL4dlQAnJP4NatW0n0kV58JepFLrCQIgMCTN45a66gmmH7cbOjR4+W/zix9tTU1IiICPxzZGQkiTuwtbhQFrJ5SCx25IknnpCnCwrmWNUMKzp48ODs2bMHDBjAQZMtkUtbaWlpHOrmzZsjrojXaC0HBwdCCSeCg+9h4OrqivpFNNJ45cqVsuUcZ0pzBXWB1atXI6swNvYLAyN6oq/YU2KoaEjOFLJT75BXlDuCCq2KMXxvOa+88kpDA7nPu/wmQhsbR0dHnPWGDRukpXRRbo4cT/nd99ixYxkZGYQE4h8ZBsi1LElHqADxQ5bw7eOPP15SUiJ/2bp27Zox0n8/7MTL9957jy4tW7Yk9tBdghCjsS7JD4jHc+bMuXz58o0GURRFqRKSqW/ZsqVVq1Y4LvmVB9VE+ivX6vFCVPhq4MCBhw4doj0uKCUlxdvbW+4tpA3ej5JeyACETV5eXmlpqbmCaobtQSWyPay0d+/e0cYT21FWIcbT/JKSkmJiYnCngBdl2wYPHvzOO+/IT2Di1c2Bqh851OfOnfvoo48mTpzYp08fDmn//v1RgBxMAjRCS14J7ebmxllAcnBg0SSoLC8vL1QWsSAnJ0fkrlzLYsCa3IVbZ8eOHewIJ4IThNqUHURoYWN8JN5R50z98MMP7J3ZR1GUmkKFVsWIb8LzTps2zcrKysHBAfdtb28v9w02atTI09NTn51aJSSkGeGsnIMHD6alpZGFkGSgi4gNEhFDjb9cA6lGZGQky6kQS8aMGbN79246Mg5QMcf9M3xFBCosLCRZYTRKohGrkN+Mia9xcXHyBOGbDKIoilIlxDWtXLkSyYQTI80l2ZX0F9GFo8O/4c34WFRUZPGEH374oYuLCw0QAHRBxuCyaNajR4/Y2Nj4+Hg8lbmCaoaN37dvHxIrMTERlYXvRV+xJfhMHGm6AS40KioqOzv7gw8+OHbsWFlZmXhRoALmWNWMrEtWeurUqfXr12/evHn+/PlIWeIyh5qDjF5ls5G1bD8ngijAQldXV84IipHdHDVq1OzZs5FqhBXkogxorqAucPToUayF00FwZDdll9lTKnzECNl9vn3zzTfZNbOPoig1hQqtCjACRzl4KJJyhJazs7MILcp69eoht9zd3Tds2FDnvPMdhGMlh8tS2bRpE7kFyBWnbt26oanIUagHBwcTIOWHYSpJSUl9+vTJz8+XR+rT3Rz0b/DtuXPnXnvtNbIBRm7VqhXdCUisgqFIFCZPnozGk0EozW6Koii3gLiUJUuW4MdQKeT0+B/ye1wQyT0qi1IucJHi01K01qFDh2iAX8JHkSjTl/wYZ4XQYhB46aWXzBVUM2zM5cuXly9fXlBQgL/t1atXVlZWmvEuYJQJdYRWWFhYbm4uYvL658EC3WWPZKjqxlzrH7CkpKRk4MCBHGS8PQeZwMFh5JASSgQOPl+xkCNMS6LAkCFDiouL2Z24uLiJEyd+8cUXyC0Zv06AysVs2CPsB1mFUMe0qGA8GBIlapldJm5euXLF7KMoSk2hQqtixIMTPAYMGPCf//ynefPmlita9evXp25nZ/fhhx9qsv7PkMN77do1xGrv3r0JD8Q/ogLpRVRUlMRL+TFY7rqJjY0lIoaEhJB5rFq1Sh5FyAiUgjnuHyMTWvbv3//uu++ik8kbiKMkQIi0Xbt2nTlzRtpLS+mlKIpyK+BMcCzjx4/HfZEBu7u7o7K8vb1dXFw8PDzwY3LNgfLll1+W9oCnwqcFBgaSMeP00Ab0ImOWK/nonDFjxshNzoKsqzpgcLYfsXTixIkff/xx8eLFzzzzzJw5c1577TU2GHH1lcHu3btFIprd7gSyqQJBZM2aNYgKji3hA5UlgkpUloQPuRCHSiTWvPrqqzNmzBg9enS/fv2ys7MJK6jK1NTU/v37P/roo4QMy1uSr8dccW2CsyAxkdBJAEXVUyK6MDBUFiVHg0OBTj59+rTZR1GUmkKFVgWYztVwr0QaKysrZFWDBg0owdra2tHR0c3NjdwdRy/NlCrBQZMwSYVU48UXXyQvISlBXBEj5X4V6iBRk5K0Q370JREZOXLkX54mbI573bkT+JbxCZzlK/tDX0lLRVGU24V4GHJfUVM4NGJEy5YtyX3RWjg3+b9TfHw82bx4J6DjzJkzcXTy6xIl/o1EGYVASWNk2MaNG2tA27DxsklUrv8I8nRWWWJZbnS6M1g2gI1Zvnw5h5oDiK4gcHDcBFQWBxA8PT35yLFFa33//ffIyKKioj59+iC6kF6orNjYWLlNnXOH+iouLn7qqad27Ngh41vWVdtg29DAGFuogb+/v6urKxKdHceEsEAqlO3atVu9erXZR1GUmkKFVgVYnDiVpUuXIquaNm163333NW/e3N7eHt2F1qI+Y8aMGrtZ4i5Dji0lIZxjSOWll14iVIQb72wJCgoiKenevbsoK/mRkjhKRJT3n5C7ZGRkbN26VfIPMMe9TsLJV1SM78vh27+0t1QURVFuBZwJ7iU/P580F32FuKKCvvI13nGE+0I1RURE4LhWrVpl8UtUSJfJj7t06UIz3B11ufMNR4cMIIdevHgxzWQVsq7qQDZJKhY/aanA9R5VutwpZBvkhgg5bgkJCXLQUFwccEBcoTHQuizhSMbExKxfv56Ov/zyi9wPmZKSQqVXr17UJeJQl7+opaenP/7443v27KkNO3sj2LDPPvsMJUl8xNJEZbGnlOw1u8/RwN74OGDAALOPoig1hQqtCsCFgTjZt956q0WLFgit+vXrN2zYsHHjxiguW+M1iE888QRtCD9mN6UqSNiWuhztd999l/BA5CApQWIRJOSfWoEGhBNyjpA/3usSGRlJgFyzZo0lFlIKUv/7EqlI3bKE7tcvKf/6uo+WwRVFUW6CeJKCggJSW4QWyS7pr5OTk6enp5eXF+l+z549EQNk8/v37xffIh0//vhjcmKcHoIhLCxMfmnCv+HoAI83bdo0RAXtLV0qCWuxQF9Ky8K/uN/r61IBWW5Blli+kkqNYWzC/+PChQuzZ88mEHCQURdyMZAwwZFs1aoVBx+Jy4mwt7fnwLLw9ddfl0HOnTv30EMPycPr0VQIMKQvZVxcHPoK9UVYgczMzFmzZu3cuZMusgG1DU4oyQnW4ufn5+7ujo1xBOTWU/Yds0FGshccHNTjlStXjMNWjtlfUZTqRIVWBeCMJCzB0qVLra2traysGhggsRBd+HGWzJ07V9qY3ZRbg2OOcCIoygMwCJAILbn5gcjRpk0btBb5CskKC0WJ5eXlffvtt9f/7GqOVTnoKCeaUipSp5QxqZtNFUVRboz4ipycHBJfuaqA3MJxdejQQdwXuS9K4LHHHsO3SBdh5cqVZMN4M5we+oqkn2bZ2dk4Nxxg27ZtY2NjLf8srRJ0EQzHVu7N0HivvvoqEmLevHn79u1jiWyM3BxYm5FNlb24evXq/PnzJUwQDggKHGEOuDwWguUeHh4sJF4QKTiGo0ePlucKAiMQuDmkyCpELyoLuQXoruTkZD4WFhaiTNBaNBg1apR0NDeilrF+/XrsDWUFBEQMrHPnzuy+r68vAgwxiRBFgGFIx44dM0xAcxVFqSFUaFWMuCQ8++uvv964cWN5BgYl+qphw4YODg7NmjXD16vzuo3Iwdy8eTMRgmSFmCE30hA55Lc6wioyjMSFuOLq6kolKioqPz9/1apVV65ckTBsjlU5aC+hl1ISDqnLQkFaKoqi3AScxsmTJ+UKA/k9Jbk+jkseUSALcWVyH4TZx2Djxo1hYWHkxPg3KvJch8zMzMGDB8fFxbEQrYVXxBeJj6oS4sFY46VLl8jLERLyeLoePXqgKL799lvDyZUj7WstsoWyI8uWLeNIIrHQV6hZuYQoR5tDx6FGaYiy5XQglpCp9OXoiWMnpqOpsrKy+vXr17dvX1QWx5kS3YW+HThw4LBhwwgrtCkoKDhy5EjtPDhsFVFvxIgRREMsBD1J3JSfKTkCmA2HgoPAwQkKCtqyZYvsu9lZUZRqRoVWBVj8Eb5pxowZjRo1QmJRIrGoyH2Dbm5uH3zwAS3Ved0u5GBeu3Zt3759KCh5PAbRIjAwsJsBwYNkBQiocm+6PDCqd+/e8+bNu3DhAufLHKtyyBrh8uXLhw8fJuNZuXLll19++fPPP58+ffr6R2hIY6koiqL8nVWrVpH1kumirKT09PR0dHSUK1qkvPiuBQsW/MWTnDhxIi8vD+dGe7wciovGkjqLyuLja6+9Zjiqqrkg2uO+5L9MDz/8cHp6OtvDWlAg+E9E3UMPPSQ3lVm8XK2FLWQ7S0tL58yZw2EUddG1a1fkFjGCOoeO/QoNDWUfnZycONocwMcee0wuBsrPcFTgwIEDkyZNQmIhZYcPH04F/ZmQkJBmkJOTM3LkSDRYUVHRmDFjjh49WtXDXjOwI2wYp5UTys6iM9lfjgZQ5/xyTDw8PLBDMpaPP/5Ydr927oui3H2o0KoAnJF4JerTp09HXzVo0MDKyqpx48YWrYV3Iy9Xz3V7kWPOIf3pp58Ioi4uLqQahsjqJmkHoosoQuYBLDRup0/o2bMn3z7++OPyHGQZQSo3x9Js2bJlkZGRcrMiZXx8/MCBA59//vnvv//+3Llz0syCbKSiKIoFPMOjjz5Kru/n50d26+vrS7rv7OyM0CL1R2sRMrp06fL111//xYGgAZ566incHclxx44dURH0dXNzoxfjoCiooJEszu3mWByUVCjXrVsXFxeHw2R8NgDwoogTvNzUqVPLysosXWohlm2j3L59+7Bhw9gLuUrDjshf2jh0LJHlHHxZEhsbi7qwPBmfESxai/qPP/44fvz4goICJBaeP8kgJiYmIiKCj6mpqUjfAQMGPPfcc5cuXSrfjtoHOwIzZszAWhBU7DuWw2kFMTY+chz4aGNj8/bbb0t7ORSKolQ3KrQqRlwS5cKFCxs1atSsWTMkFg7rgQceuP/++yV2fvvtt7RUz1UdcFR//fVXAh7xg2gh94RQElzbtm1LFCGghoaGEmjJbCwN5syZc/ToUc6ajCBDVcjZs2fHjh1rb2/PyAQnAjYwGsOi4shF9u3bRzOLSegZVxTlL5w/f76oqIhkHe+EQMJ7UBImvLy8EDmivsjm5d8yZh8DPq5evRpX5u/vT9JMs27durVs2RKJhTtyN97HhXjYunWreLabI23kNrnjx49/8MEHaWlpOLTg4GCRbdQRWrhNNvWhhx5i7YJ0r23IhlHu2bOnb9++uGjRokgLDhEVAgQ7BVRcXV1ZIupryZIl8gQRGecvMGBJSclXX301a9asxx57bOjQocSazMzMaAN06ZgxY956663S0tLyQ1MrD45s2BdffIG1oOfZfTEe0fYcKCxQLnAh+N944w3pIn0VRaluVGhVjHgxePHFF+XWwaZNmyK0oH79+lZWVjgvFVrVhyQKxDkCYffu3SMjI4mdJAfyPAxACAUYL9diCZWgoCASCGQY9ZdeeqmsrKwySQnnjmboqMTERFIiRiCKi9xiKNIj6qwrNzf3s88+s9xJCGZ/RVEUg40bNyJd8Etg8VGUqBocC86EJHjgwIFyXcXsY4A/wdGNHz8+IiIiPDycvBknhiMC+so1dro/+uijuDWzz40Rn8aA8+fPz8/Pxz3i2dB+ZOFIPgQJno0NYxXw5JNPSnuzcy2DbQOOGCITFcRmIxtwzuwRIC2QW27G0x3BxcUFgYHWQo99/fXXEkEozbH+Bt8yOIcUPXbo0KE1a9asWrXq008/ff/999euXXvmzBkZQbbB7FObkG3jRPfq1cvb2xt5mZCQgMFwKLAczjvhklPMQbO2tp46daq0NzsrilLNqNCqGHFJ+CaydrlXsGHDhmitZs2aIbT4iGvbtGlTuQ9W51UNyIGV2HDixImhQ4eSf8j/xYklhFuyFkIsZ4FYS4hF95JM8BV07dr16aefvnDhgjnWjWFwoumHH37IgAxFViRaS34dlF+m/fz8WrZsyXo///xzCb1g9lcURTEYO3YsOS55LaIIZ4VLQQzgOvAneBIqeBXEEj4Et2P2MeAjuf5bb70ll+iRVXTBreGLWJJugLpAxaEHzD43htFOnTo1btw41sgg+LS2xr+88GP4RvJvy49TJOjbtm2ji7hZ6V6rYKsAlZWUlMTRYMsjIyPZC7Qi+pOj1Lx58xYtWvCVg4MDQZkAjR4rKSkRL01fSnOsPyMjC3/5CJYlMggYnWoXsmFXr16V2ylzcnISExM50ZgKtieHCK3F4UJ8cq6xsdq5I4pyV6JCq2LEi+Fn33vvPWtra/y4lUG9evXQWmT2xLANGzZIM7OPUj1whE+fPk04cXd3J9DGxsaSjhBlyWMkgyGHIIkhpSAvIYfgK8LMQw89tH37dvqWh9wbh1u+evHFFxmBJIlSbk2hBEZGaEnOxPjZ2dnyCkuzs6Io9zaGaynn5MmTCCHiAt7Dzc2NxJd8t/w6iyG95IcbEt933nmnPGD8OWTQnRI5QaKMloiOjpbr89IRj5eVlUW6zPiHDx+2dL9+EKnLOJRLly5FrYlDE89G/s1QeLOuXbviIRmcVbz00kvSpbbBVgE7hSg9fvw4hwVvjDIk5nIcRIvi6jnCxGUnJyf2jmNOnRDw888/X39k7mLYTTlEkydPJt6hRQlYaCoOAied0y1nn69E+ctTPcDsryhKdaJCq2LE0VMuXLiwRYsWdnZ2zZs3R2IBnt3beN//+vXraameq7qRE3Hu3Lknn3ySmIHQImUhXSBXQAIRekHutwkxnjpFKde+SE1u/scGRiZQLV68mNGI5cQkEhFClFzL4hSzOjInviXpiY+PX7duHV3A7K8oyj2MhAkqeAacEn4DN0LS7+7uTtaL68BB4aaQOtRxXO+//z7t/+KRZMmVK1cQVLggfBel+CLcDmNS4t8Yf/v27Wafv4Efk0ppaWlBQYF0xImxXtwjHowtkY/A5uXl5e3Zs6d2ujK2SmCnHnnkEbYWP0wIRkVQYUdkLxBacjuDp/GYQerz5s27yf+y7jLMY/T776+99hqnGP1JWuLo6IjloK8IXhwiKlgRxwdpvXv3bhqbnRVFqWZUaFUKCaJjxozBxVtbWyO38GIIraYGOLU1a9ao56oBJHASQcvKyh5//HEHBwdCLKkD0YUogrIiq6BCAKbs2bMnmU2PHj2o06xfv35HjhyRcf6OnL7NmzfHxcXJT4DkIiAXyqh0Mt7NQpSSn5aRZGIV0l1RlHsZXAEOAdf06quvhoSE4DRQBWgtuYiEC5Kfb1iIj4qJiVmxYsXfZYAMQomzwufgvvA5ODd8DrCEoXB3CK3PP//8Rs6HEWSQr776CqmGy8Kb0VFSbWBAtgSXyOABAQEvvvji1atXbzTaHYRNAiQWu/PZZ5/JlT2REKIcOKTsF0JCjgyylq+aN2+OTD179iy9LJrz7kYOFPv7xRdfcEIJeRwZTjQxSy5qcbhEXSO0KCV4mZ0VRalmVGhVjMWLjRs3zsnJSe7/xpvXr1+/noGHh8enn35KA5qZfZTqgSNM7DROyO9nzpwZNmwY+QeBllhCGCaWkIJ069ZNYgwhB+lF1CE1YQn1yZMn3+QRvYx5+fLlKVOmMBT6ikSECiWhXdbCmER6YhWreOKJJ2pndqIoSs1j+KRypk2bhqOQ5zGQ7wJOIywsDHeEg8JT4Yj4uGHDBnFlZn8DGYHlTz31FE4G34VmS0pKoi9eiI4sBLzcpEmT5HkYfxkBJBJRzps3T1wfIgSHhgcT2B4GYUwqubm527Ztq53BSzaJbfvyyy9jY2Pl2iDu18vLC7fMgeVgyg9h+Gf2BTnB3rG/lpcv01eGurthT8WWdu/enZ+fj81gIVgLB4SjgbISXY0JlQuvTp2KioqMw6PBS1FqAhValQKXhMueOXOmg4ODjY2NtbU1QotKgwYNHnjgAVz/ypUr1W3VMJyRCxcuLFiwgFji5uZGoCWEWO6NkRhDXSAkE2xSUlKefvppeW2lnC8pLeKN5T/++GNiYiLBG5UFDEWaQtxKTk6OiopiLehqIhmZ0MWLF6W7oij3OLgO8SqzZs3Cb8hPM7gjeWwDYgmvggOJjo7u168fzqSkpEQcjtn/OnBH69atozEdkWSAZ8OD4YsYEIGEQ0MgHTly5L+OIEv46uGHHw4PD6cjmgSHhiaxXNdieVBQEKtYtGiRPJe19rgyNgbEJ1P5/vvvUVl4eLknkH2RX77YERB9xQFn1zg+8fHxn376ac3si2wepSBL2GypgOVb2RejU/XCWt5+++2EhISMjAyOBgcHg+HgoLLIUrABTj3nfejQoTW2SYqiqNCqGIs/mjdvXpMmTZo1a4bcsre3t7W1bdSoUb169ZydnZcuXUozHKu0VGoADjjR4vLly++++25cXBxaiPyDoEtQsURfuUmGqNytWzeSFZZHREQ8+OCD+/btu3btGoNcHykFxvzkk09iYmJCQ0MlsxG5JXkSQ7m4uJA8vfzyy1euXNEzriiKIM4E6YLrwB2FGH8TFReEa0Iv4VXS0tKKiop69+596tQpcThmZwPLR2QY6TLSiI54LdyOPEuD0UiU0Wlojw8++EDWeL0XkhEoDx8+zIrS09PphSCRbLudgfwCxeZNnjz5xIkT0l463nFkSyysXr2a7ZcrcoRdKkRe5Ba7g9xCdOHYKTnO+OSBAwdu2bIFB15jblk2UtZ49uzZrVu37tmz5+jRoxcvXpQGomdqcns+/vhj1CYBEVmF1Mf2OOPuBhxDgiBSv0+fPidPnqSx2U1RlOpEhVbFSDCDZ599tn79+oirpk2bOjk52djYWFlZNW7cmMrcuXOlmdlHqX4s56WsrGzZsmUEWhIIkgkkFpCOBAQEyG02iCvqBGNiNiVxiJC8efNmOV8yCFgGJFIWFxeT09CeoUhTCOoyMkGduJWTk0MGIEFUNkZRlHuZa9eu4RAoJ02aJOoIv4GvwHWI92Ah7gi5hUxKTU0tLS29kQMxnNDvjzzyiAgJcmUIDw/Hj+GUevToIQ8BmjFjBs3+nsSzhM14+eWXo6KicIPAOGwMJXk2HRmECtuwcuXKGlYClYFNkl1YsWIF8tLZ2ZmNR2WhE6gTfOWnLo4qS/yNt3Gwp0888cT+/fstPtwcqzphXVevXj148CDahqM9bdq0jIyMPIPZs2eznAZCjW0Sa/nhhx8IcJiNl5cXQguJjijl6KG7MELq2AM2sH79+prZJEVRVGhVgOEhTXCm1tbWCC2Uldw6aGuA3OIr8admN6X6kZMC1InKP//885IlSwh1BBgCMJEmJiaGoEJ+Q1QmTUFiocQQS2QtBGaWLF68WP5nBXL6jLBYftcKMuzVV1998MEHk5KS6MhQiYmJ6Ksnn3zyiy++QInVwgRFUZQ7hXiDPXv2pKWlkcgih+QiEpmugLbBkyC0yIOfeuopXNbfHQhLpIRVq1bhuICODCW/GYWEhERGRiYkJLAW2LFjR7nDum4Q6Xvy5MkhQ4ZER0fTFxAq8jsRsgQQgQyL97t8+bK0ZwRKc4g7gWwGFdmS7du3T5kyBQXVxni5M/6cioeHh0TeJk2aBAQEcExcXV05LBzqzz///NKlSzLI9UejOmAVUp46dWrWrFnIZtlCTjEbjDJE0LJ5hIyJEycie2STpFd1w1o4p6yX7eH4EO84+/b29nLXJecd++HUU5F7cMxuiqJUJyq0KoU4ytWrVzs6OuLl8fV4LupNmzZFeuHu33zzTfGnZgelZuHIi/LZu3dvZmYm4op0hFAHaCqCcUvjlZ3u7u6EQz6S8QDNZsyYce7cuesDoYxjAU21e/fuXbt2fffdd5QIM2kgjRVFUQCfgGf49ttv8Tmks7GxsYEGJLukvCTfKBwkAYlvUFCQPNtdMPv/GTxSaWlpRkYG6ohUnjHJ3fFdpMjotKysLEoy5h9//JER/hJ32IwLFy48+uijrE5+ZkLdsUlyQZ7t4eOLL76I0qs9AYstsfDqq69yiDyNVyOir3Dd7DtbjmBo3LgxPpyAy36JjmV3li1bdqPDeNth8yg5wleuXJk9ezabwRlhSzitHF42GK0FbK2zszNbbhHDNbOF5fb0++8zZ85kYzjvHEY0tp2dXcOGDTl0LEF78xXbjAGYfRRFqWZUaFWAeC6prF+/Xnw9jp6oiXslGFDHn8ofcKWlUvPIwSf+EdIOHDiQl5cnSQYJSnp6OgGGkEx0IVMhyYiIiCACERqDg4O7dOmSn59/6NAhkU/yM/P1yPK/IOFWURRFEM8wb948fAvCICEhoV27dqS5orIQDLijbt26UcERrV27VtqD2f9v4GTImJ2cnBgQD0Z3RAV+LDQ0lPQ9NTUVFffJJ5/8xRfJmHit48ePjxw5ki1hpeHh4XQnw2Z7kG1jx46VG9vMPrUAi5v96aefmjdvjlbBM1MScB0dHfHbxFkqjRo18vX1ZaciIyNpgHqcMGECqpKONbM7lhV99dVXUVFRnFnOJieF08pGkgnI/RRUfHx8iEFsIUfb8pet6kY2b9asWYQ5zji2x0l3cXGpb4A4j4uLI/CxnK2isdlNUZTqRIVWBYgzEv+1efNm3KhcwvLw8CAGUJfXFr/xxhsWF6zUMJYgzfEHPv78888EYwIMURA1RZ5BpkJeIvfPEISIhcRIoiBZC5WsrCzRWoxmGcpSSsVSB1mvYC4yMBcpinKPwfTHgQwbNgxvI1e0SL6BhBttQGrLQrQB/gefI0JLekn3v1DuTX7//emnnyZlR1TQV3QaJd3xYElJSWT2SCnxS2Y3o6M4Kzh9+vSiRYto07t375SUlIEDBz733HPfffedPHYVru94Z2FjysrKtm3bVlxcjN9GowLC0t3dnY9AkHV2diba4ro5nhwWjsYzzzxz4sSJ8iNVUzvCitjUs2fPIvA4EaKvkC4oWCpsGyVw0tlCPpIwcOq/+eabmtlC40j8vm7dOrYNJMyRpTRo0IBSdBdLWB4TE4MZmN0URalOVGhVgHguiUk//PCDp6dnkyZNbG1t69ev37hx4//85z+UBICHHnqIBpKpKzWP5cgbp6ucL7/8Eq2FGJb4R4whbKO7KInQBBtSlh49eqC+0GDkRqNGjZK7/MsTEEMwS90YrJzrBwdpRipTUlJSWlp6+fJleUoy0NJSkV5SURTlboVpjhdCzCQnJ8vFBEAt4HwoWRIdHY3QCgoKSkhI+OKLLyyOQrr/HQakGS5LrkfJtSnK4OBglAbJPfW+ffvK9RyzjwEfZQklyfSBAwd++umnjRs3Hj58GB8l3wrS/g7C7stmUL733nu4YqQLuyweG6mA0HJzc/Pw8LCzsyPOtmjRgq+IvxzkFStWyAs24CaH8fYiG8xhRLIigDkjSBfOBVGGk8LGs9nexlM6kF58JNxw0h9//PGrV6+aQ1QncjSIR/n5+WwYm8ERc3BwcHR0ZPPYSEyRDcOcOMh79+6lS40dOkW5Z1GhVVnwX+vWrcPXN2zYEKePr8d/WVlZ2djYeHl5PfLII5aYodxBjEBTHndJen799dfCwkJCNZHPx8eHmEdqQoyR2wjl3kKiIGGS3IUEaNasWfLQWxkBzEH/Bl+Rwbz//vsjR47s37//iBEjMIAnn3xy7dq11/54arylVBTlrkecxuDBgxFU8lMOJe4F50PCHRYWlpiYiP9JT0/HY+zcuVOcw41+m2M0vjp79myvXr0Yio7AgHI3GkvImyEwMPDo0aM0Nrv9GRnE4s2k2Y0a1zyWI0AFHcKhI7wiDzhc8kMYe0psBYRW+VOnbG2p0GbIkCHiqGWEmkRWSrlmzZqUlBTiCOGDDZbrV+UXs1q3ZuNFaPEVDZBenHE22ByiOmHDgENKLGOr/P39mzdvTrqC0GJ7OJIiXDnIKC6MkMbSS7orilIdqNCqAhs3bsRJNWjQAF9vb7xHCxdGhSR+wYIFlkim3EE4BXIihEOHDvXt2xdJzDkiKSHwEPzkphQJhODp6UngIQ0KDQ0dPnz4tm3b6Mgggjnun2H5kiVL6MI4jEY6RQJE9+zs7Lfffnv//v2WP5rfaARFUe4mcBoXL14cMWIE8iAuLk5+0ME/kO+SaotGokRxDRw40HIpxuz835AGw4YNw0fREXoaDzOQK2Nk8yTNaK19+/aZHf4bMohFblGaX9QCZJNgz549TzzxBE4YlYJblhu8qeBa2U0OoKurKzFXbiPs3bv34cOHLXtkjlWDsFJWXVJSMmXKFLkd1PLcDkoUF1suSpigI9EB2VMzV7QEtnD+/PlsA0eyRYsWqCwiICqLOkqVY8imogB//PHHO3gYFeXeQYVWBeCGQOpbtmzBWzVq1Ai/b21tXb9+/ebNm+PCCADLli2TxtJSuYPIKRMIJCdOnBg6dCinicBDXMzMzKSUu3o4m4R2xDOgwciNSIx69eq1atUqlBJ9bxSBjh8/Pnr0aBqTA5ETUAYHBwcEBEiOVVxcbHmqL4OYfRRFuXthvl+4cKGgoABBFRMTg0PAM8gzk/APOIfQ0NDk5GT00ty5cw3nZMoMs//fEP/zyCOPREREpKamhhvI4AyCYGM5af327dvNDpWD9Zq1O40chDNnzowbN46Q6u3tzYESDYBCQFlJbEW3oFjQMPjbAQMG/Prrr3LcbuKfqw/ZZln7xo0bp06dKvc3ciKIL2ynxBR2ga3l7LPxubm5u3fvNvtXPxJxPv/8c7ZHfhFm29hCKggt6mwehoTxPP3009c//Em6K4py21GhVQHX+6Aff/wRh4W+srW1bdasWYMGDeRR7y4uLu+++66m1LUBCb1y1ixcvnz5pZdeIvgRFAl7pDvUJQcirhPgCT9kRaQvkZGRyC0JQidPnpSAKoPI+MLevXvT0tLoyyCBgYF0IZEissrDDFmel5cnCcHf+yqKcvfBNMdXkML27NlT3hiLk8HDUOIi8A94mMTExOjo6J9++onGFk8l3f+CNIClS5cmJCTk5OSgrxBXdOejJMopKSmMTOi5uYfh2+sxl9452Ck2gxK3/NVXXxUXF3fp0gWJIvdGUrZr1w7dZWNjI//IwmmznCPJUT148KDsBchQMmZNYlk75fHjx+fNm8cpJgdgm1FZnp6eBBRK9oj9QiGTNpSfyBrZVDaJFVGePn26V69eTk5OHEM2jAAn17Xs7OzIYQhSyDAO7J49e2ps2xTlnkWFVhXYtGlT69atkVjy1yxra2ucF17Vw8Pj1VdfLfe+tSCMKf8VcqD169dHRUUhjchXiIIEGwIh8ZtYLnWyFmKPXNeiPmLEiNLSUstpvf7kXrt2bebMmTSjMUkAYxJr+QgMyFB8LCwspLvGMEW5F8A/nD9/PiQkBG8g70P38/MTD0PaTQqOkwk22LFjh9nnpuA6GHPfvn1JSUmorLS0NJRGZGTkoEGDRo0axcK4uDjcFH7metdUy5GdwhtTee655/C3sbGxPYzXiwEqKygoyM3NzdnZGXlAiXPmIz726aefJv7SEcyx7jTsCCBpXnvtNZRw+/bt2QVKCSjDhw9/66239u7dK7tcM4FAViSwAfXr10dZWa5oyQUuchiMEMtEq69evVq6UJpDKIpyu1GhVQU2bNhAyGzcuDFaS15Rj9bCkbVo0WLBggXqqmoznB0i9Ouvv07YJvBwHok9BEXgIyUaCXVEgGxj3GrfsWNH2owdO1ZeZ/yX6M6Sr776ii4kVWQGBC0g6SEh4CMlMYwcQq9zKso9Ah7m6NGjCC3xJGgGPEBYWJh4FfwDcoIyMzPz7NmzFQYLyX2htLQ0NTUVP5OYmIjQgvz8/N69eyckJCC0WAUDmn3qCPK4oBMnTnBkcLPp6elyHwFHiY+UctUFR40HbteunYODA/tbUlIiB4QjI+PccWR7ACd/5syZb7/9dvbs2cXFxSNHjnzyySe3b99uOYk1FgVkdXKIXn75ZTITIB5xYIlr8qsih9TDw4PjjFHNmjVL2ksXRVGqAxVaVWDTpk0uLi5yu2CDBg0cjfcnAh/nzp1rNlJqJQQSIsqVK1deeOEFThwQcpydnb2M90u2bt2aiq+vr8R+IAj5+fmhweTJvEb8+n+5EfULFy4MGjQIWdWzZ08iGYkCOZbcOITiokRrYRWEWI1hinLXg0/Yt28fHiA6OhpXgEOgjhvx8fHBP0RFReXl5SGThg0bZqS1FfsEBsR7IN4QVLim4OBgKngVhkKzsZbk5GSWIMDMDnUB2Xd27fnnn3d1dWWn0KIk/fhMBCpioH379nIBEOeMLuUwjh49moPAoaCXYI51pzG35g9k1y4ZXL58WZbIV4LZrTqRtVByuNasWePt7U2ki42N5TgT4zi8WCNLyGE4zhzkAQMGyHObambzFOXeRIVWFdi8ebOHhwfKCpXVrFkze3t76o0bN7a2tp49e3a5K1VvVevhHC1btszd3b1du3bEHk4oQYgwTyojcZ2sSC5PUaK1SJXee+89eTYGfY1gavL++++TUYWGhorWkvteLHWWT5s2TR4vZq5bUZS7FPwDjiUyMhL9gwpCZSGrKMlucTU4lqSkpISEhHHjxoknMbvdABoIV65coUvbtm07d+6MysLDAG6HkgFTU1Ozs7PxRXShpP31dTAGu/OwPQKbhC/97LPPSPRxkqgs3CzHhzqVli1bog1atWrl4OBAVEUJyJPc6WgOVBeQIw+yv4LULaWlmXSpDtavXy+3smN7lIQ8jidCiwpaiwoLEe0HDx5ke2STFEWpDlRoVcD1rvCnn34iajZp0gRxhatycnJq2rSpjY2NnZ3d9OnTaVCtflO5LRBRSHS+/vpr4rrcQSG3+VEh2BOZKDt27EiJXiKbIUqlpKSsWrVK0iNgBKns27cvJydH/o8hHUmGUGh0IY2g+5QpU06fPm2uWFGUu5eSkpLExETmPs4EJ0CJioiLi8MtyM8xlD169JCbtcw+N8biZKisXr0aH0VfXAqDULIWVoG3QYAFBwd/++2358+ft1x4p4uluzncHeX6TUI3vvnmm+wCHpJdIN1HZZHxA0tcXFyQWOwXsdXNzW3BggVnz56lI4PgfmW02o/sr5SXLl1iF0pLSw8cOEC8OHXqFEeAfbE0MPtUAyionj17tm7dmoMsyGOf5LqWs7Ozr68vmnbjxo2yMWY3RVFuNyq0KsDigKh8//336KvmzZvjpJBY1tbWKC50FwsnTJhQmd8plTuOJbyRvhDpiTRyvwr5ir/xhytAg6G1SGJIAohVfIyNjX3rrbcuX75MXwlLnG4ym6VLl2ZkZCDSaE/JODQmaSDHGjFihOWVXLJqRVHuVt5//330A+4CBxIZGYmy4iOagY9paWnJyckJCQm4BWSGOBCz2w2w+A38zJYtW3AyCDY8DEIrOjo6Jiama9eu9vb2NjY2tra22dnZQ4cOnTp16nfffXf8+HEZv6ysrMK11BhsEqA6Fi5cKB5VvKu7uzveEsfLEg6U/IFW3kCFa5UdMYeoO7DNcO7cubfffnvSpEkTJ04cPXp0YWFhbm4uQWHGjBny8o/qThg42kOGDEFcyY3xHh4e1F1dXTm8HHP5Fxx8/vnnNK7WLVGUexwVWpUFp09qbmVlhcQiwjVr1oyK1B0cHPCn5c5VvVWth3PEqZRffzdt2kTUd3FxQXHJVSz5nwB1Kqgm4j0l6RHN0Frz588nehnnufxEyzhffvnlE088MWXKlLFjx44cOfLRRx+dOXPm4sWLyXhopvJbUe4F1qxZg6MAVBBCC1BEcrWcOhWEFvVPP/20MvpBGlieG5GTkxMcHIxrQmjJT0LOzs5ILJJmcmi+zc/Px0Ghx6jv379futcSz8P+wvnz55999ll8LIcITcW+kO6jteS5RH5+fjhhua4VFRW1ZMkSXKscqFq1L5WBzT59+vTTTz/NSSeUsKfsJsKSClKZUPLMM89cvny5ukMDg3/00UeYCqtGvqL52Ri5ikUpV7TQXWxn+SGuO4dXUeocKrQqQHyQsGrVKlFWDzzwgAitFi1aEO0oly5dqil1nYOISChCUxGHgJBPpKciv/kRHYFvyZPCjVeFJiUlzZ49+9SpU5xoSQLIhEgILly4cObMmZMnT5aWlp47d46UoqyszFyHoij3AF9++SUigTRaxJVcokE8oItkCRWW7Nmzx+xQafAzffr0wf8wCGqKtVhZWRGAnJyccFDkzXFxcbm5uQMHDuzVq9fgwYPJ8q+XKHcKtgEIi5R79+6dNm0aEouDwNayL+hDfKyPjw/xFBBa6AHEAM72lVdeuXLlyh3f/iohm8qeUkFEzZ8/X3R19+7dkTfsHXFE6kjlzMzMlStX0pL20r06YPxjx45hMKKv2AaUHtbSunVrTIhjTrxzc3PDYDR1UZRqRYVWBeCABOqEUhcXFzs7u4YNGzZo0EAeg0GJ0Prkk08szZS6AueLGLNt27YRI0Z4eHjIL47Ee+oEIZIAeVoGYcnf31/+a0GKMGXKlEOHDtG3PI/4I6ERrv9orkNRlHuAdevWIXvCw8PRD3JxhtSWHLebAX6DVJsM+9y5c1X1DzTOy8tDwjGCu7t706ZN69Wrh9aSm9gJSawlIyMDoUU5b9482lsckTnEnUC2oaysbM2aNUlJSXIxJzExkUPEkSHj9/b2xsdSAfGu7MjcuXOvXr0qqf+d3f4qIVsL7PWKFSvYEWB/JXCIxCK+EE3Yd5ZMnDiRI0Njs381wMZwGCdMmED84jizdlbdsmVLjrYcf85Ily5dEIRnzpyp1i1RlHscFVoVIw4UPvjgAycnJ8Kbvb09WouAh8pq1KgRH998800a4NfMPkodgVMG165dKy4ull+IiYXymx9pDbGfyERyI3e6R0REhIWFkTaRMInWoq8lp/kL5goURbkH2LhxI2lrVFQUKgvvQRZLOtvZeDoOiTXLkV6PPvroP3AOtB81ahSDuLm5EWtQVsQgeextixYtbGxsWF3//v3xYLm5uS+88ALt8UvSUUa4I7D2ixcvPvbYY8gMjgwb2bZtW/QGPlb0FSqR44MElbvaEGNPPPHEpUuXDJds+lVzrFoPmyobfOrUqaKiInaHMMGpp0IQ4Qiw15xBggiCB/XFzlb30xTZGFi6dKm8A4AtIbRx2NkSX19fORdYaVBQEKZr9lEUpRpQoVUBuCq8oThEfJa1tbWtrS0RAomF0EJugZ2d3eLFi2lDY+ml1AmMSFQO5+7YsWMESJIYNBWxkNgPxCFCI/kNIYpcITo6Wm4jJHaS1sg7NMkJLINIxRxdUZS7GokLMvc//vjj0NDQ1NRU0mtyWfJslBUOhPSaSkxMDN/OmjWLltKrSrzzzjuMgxci9Hh5eeGRCDoODg6oLEdHR1bHevPz8/v16/fRRx/hkehyRxyR4f/K10vJZvz000/k9MgMuXmS48Cmkt+DqFAkh1zry8nJId2XOwZlqLoF55Qtpzx8+PCgQYMIEOwvYob9Za8RloQV2WuCCxXiyIkTJ/6BJVQe2Z7169ezroSEBEwRy2QD2CS2hxLRhfrlFDzzzDOWLamjx19RajMqtCpGfCgVQimBDa1FkENlWVlZNWjQAN3FkiVLlkh4U+oonL4jR45ERUW1aNGC5ICwhLIiFBGT0FqispKTk9PS0siZ4uLiCFoPP/yw/GMbbnL2JeBpAFOUuwwmtUB97ty5+AS8BJl0y5Yt8RjksuS1VIKCglAaJNzvv/8+jfEG0r2S0AXFQkIsd63Lm0XkJ78mTZo0a9aMCmvJy8ubMmWKPIPHgjlEDSK+Dq5duzZnzhx8KYcF2Sl/WAoODhYJSskeScaPR127dq240KoenFqCHGo2/uLFi/JvNFFZaCqOANrY09NTognmgWZOSkoi3EivauXgwYNsA2aJoBWt7u7ujlzHYOTGDYxz9OjRBDKzg6IotxsVWhVjRI1yh/jll186ODg0b94clYXikme7E/Puv//++fPnEydqwG8q1YTkBz/88APRCAnt4uJCRJQrWnKnhzygOSMjg0pkZCRJA6ps2bJl5BOSHNwoRTDMRw1DUe42ZGoLzz77LPk0SS0RgYpcQJCr4vKEDDJv5AQtxdWYQ1QC2m/YsAFlQugh4tgbEIBatGjh6upKWb9+/a5duxYVFW3evNnYlnLMzjULmwqEQspPP/2UbB7NyY5zENhC0VccFnnION/K5Z1nnnlGujDCndryW4SNZ8tlFzgLI0eOlEehECYQV6gs4FBgGMABycrK2r9/v7SvPhi/tLQUiZWamoqa5Zhz5MV42CpUFlJQNPCvv/5Kezn4dfQUKEqtRYVWFVi3bh1CCxo0aGBtbY3cAltbW4QWoQL3pB6q7iKREtW0b98+UhZOq8QhSrIl4iVQQVwhtGJjY+Pj4wlg0dHRb7755tWrVy1y6++IYYD5WVGUuwgmPtN/1KhR5KxoKrlQ4O/vL9ICvxEeHh4WFobr+Pnnn/ED4mrMzpWAxps2bUKWeHh4EHdQVo6Ojs7OzmTM8k8tQhLfDhs27OTJk9Ke8o788Ce7Rrlly5bIyEg/P78Q43n0eE58KUqDg4O4cnFxCTAeEcHxmT59+sWLF6WjYI5VpzA33dh3jOGTTz7Jz89HXbOPyBu5LQJ9RcXb2xvzyM3NJdDQ2OxfDcj2lJSUsA1JSUmYH5qWtSPX3d3d2R7ODiZKFGMLV69eLRsvHWUERVFuCyq0KsBwVqbf+frrr4kQxLYHHnigSZMmjRs3btiwIaWNjc2CBQtoIDc/KHUUy4kmX8nOziahIXMiFFGSxxCNWhlPaiJFADIqufc9PT39tddes7we1LAXEz6y/NChQ4cPHy4tLZX/eUub8tVc11g+KopSh2DmikLYsWMHcgJRQW4t7kLukSOlRmIlJiaGhoZmZGRYHjkI5hCVgMbHjh0jOUZQIas8PT0JQ05OTkQiwpBc1yKJHzdu3FXj9YAyuJQ1wPWr42iwDWvWrOE4IAvFVVLHbeI/Abnl5eXF9nNYyPvHjBnDMZHu149TF5FdAA7Cnj17+vTpgxmgMNlNdh9Jyb4jtKggvB9++OHq/kMamwEEnby8PFRWYGAgEheDFK3LeZHfAtgYtvOVV14RZU4Xs39VuHnH8oNiYH5WlHsMFVoVYHoIgy+++IJoZ2Vlhb6y3D3IR2tr61dffVUaSy+lTnPt2jUym+HDh5MZEJmIRgRLAhUBieBE1OQjC9FaCK1evXrFxsbOnDnzwoULBBsxFaBO+jV//vy+ffumpqZSMiCSjIWWf3axLlrKShVFqVtYZvpLL71EGi0XvfEYQB13gdPoYbx/j3R22LBh8nMMmP0rB+3pyJjEmkaNGqFSbG1tiT7EILmchdZidZs2bboj/7Rh8zgClGTqiIeXX35ZnriAtgwKCkJtojnJ7OUxHsgMdoTN9vb2xnkePHiQvnfZD5TsERHkhRdeiIuL4yBgAJGRkRwBeeIfJlFcXLxv3z45bmaf6oFVwKJFizgLcgpatmyJAJYLrcQykcHIMMKTNDZ7VhF2pLr3RVHqLiq0KsbigBBaTk5OhDf0lZ2dHW6LaEfkYwlCy9JMqetI2CBreeutt9BahCXEFakSwSkkJIRICXI/DEsIpcQqpNSTTz558uRJbEC6nz17dvr06cRaiWSZmZkkFsSz/Pz82bNnf/rpp/L2EsFcsaIodQrmOzph/vz5np6eOAHcAu4Cp0EWCyTZLImOjqb+3HPPGSGiHLNzpWEVMTExDzzwwP333y/XsqjUr1+/Xr16iBbIycnBX8lFCbNPTYH7YqWsGoc2c+ZMV1dXdKC7uzuCCqHVtWvX1saDWx0dHZGIiM+ePXsiOYYMGYLYkA2+yxyg4dH/F228devWsWPHYhXEDiQNIWDatGmrVq2SN0pDtZ4sObDwzTffEKQwQiIRxonQInJhlmhdhB/blpiY2K9fP/kVgDNi9r9NyGZU654qSi1HhVYF4CAsfPLJJxLV0FeUxBKCB3V4/PHHxamZ3ZS6jASGawYvvvgiaQGRCXGFyupmIBe1yCSIW2QS8lQxEoiCgoIvv/ySXufPn58yZQrtY2Nj0VpIrPj4eMqUlJT09HRCb25uLsJMHhGmZqModREmL4kp83f48OFt2rSRRBZxZfkPJ84BaUGOi7v46quvaE8vcS8yQmWgMUyYMOF//ud/rK2tEVdIrMbG6/IJQ87Ozi1atAgLCystLa3qyLcF2bwDBw7g3NgS8nhAU7Vt29bPz49sni1kCUKUenfjwYMcqF27dnHo5OjV/DZXK3JAhFOnTq1fvx6pA4cOHbp8+TL7y17Lt9TNPtUA48vhPXfuHFIKqZ+UlETwIlphLZgrJwUNjIkCoUrsUzCHqDQ36cUGgDQAc6mi3Euo0KoA8Q7iKT744AMCia3xUF07OztiJ1qLiEI5Y8YMcWpmN+VuoaysDBVNrkDSkJycTIpAWCKdkjQCDUZJ6kDoIp2iEhUVtWrVKpIe0o6AgABSrsjISOokXlRoJlfAaJyWlvbGG2+gyjAtc2WKotQpcPtXr15lLpO5hoeH4wGY6XFxcUxw5r5M/8zMTKb8zz//bPapIkYI+n3FihX/5//8n+bNm9sY784iBv373/9Gbrm6uuKOyJ5JlGssAMkmlWfQxm1yaAmOAHEQr8jG+BiIspJrWcRNXCiHiHSfQ/HJJ5/Q3RxLqX7kOfvtjfdoy2+F6H+EFicIiZWQkEBJDiPn1OyjKMptQoVWBVhcD+XXX39NwCDCNW3alErnzp3t7e0JddSfe+45Iq50Ue4mMAASqRdffJEUKsaAECU5BHkD+QRaS57YSwyjTmKRmJj4wgsvFBYWdjfe1MlHshByLzQYH8nDkpKSehpPfB4+fPiRI0c0tilKXUTUwoULFzIyMnALqB1gXksiGxYWhsqSKQ979uyRXlVFYtA333xz3333IVcA/2NtbX3//fc7ODh07doVp4R3euWVV2gpm1QDSLxjdVu3biVTb9myJd5PrpNQ+hlv5mUh+T1LnJyc5BoXLUUQqtOrSd577z05LwSpAON5j2QvnA7iV2xsbFZWVmho6MSJEy3nVHopinJbUKFVATgdQoK4ns2bNxPk5AG7UqKyEF22trbz5s3TyHFXQuy5Zjy6fcmSJfKkJrDkEOQWhCvRWkACRErh7u5OphUdHU0ChMoikqGsyLRIuYhwfExJSZGfuvv27bthwwYNbIpSR8EznDhxgqkdbsCUl3qI8VjzKONtENSHDx9+5coVs0/VwQt9/fXXDzzwAB4Gh4MLImOmgpzr2bNnXFxcx44de/XqdenSpZpxJhIWoaysrKioiI3BGQYaz7VDYqE2xTGK+gI2GPfYrl27jz766KrxKCB1ejXJ+vXrOfhyLwYnCOTSFmZDbCIetW/fHkMqLS3V86Iotx0VWhUgfkcCw8cffyyvjKS0s7OTHxSJJfb29i+88IIGj7uS8mzCOLOkFO+++y7BiShF0JJHKpNe8NHHx4eSJIOFlCQchDRiWGpqKtlPWFgYKotkSPKw/Pz83r178xVai/Rr586dajaKUkdh8u7Zs6dHjx4ZGRnM8cTERNFaoaGhzHcqzHTqzz777D+e5nTEBe3atYssOdJ4VXpAQADrwrHIhXHcCz4Hr3Lx4kWzTzUjm4T8e+edd2xsbHB6OEM2hs3jUEBn48VZLJQr//hDYuXIkSMtT1yguzmWUv0cO3aMcCPRCjg1CC1UOnW56R1tzGlat26dBDuzm6IotwMVWhUjIQHvQ1BBYsnz3J2cnBo2bNiiRQtiCfHvtdde08hxd4MBwJdffkku1apVKxFaRCxiFRVKJLfc1cNCTIISrUX6FRUVJfkQIo0kbPDgwQMGDCArSkhIGDp0qDzn11yHoih1B/EJmzdvRkr17dsXtUPCithgpqM0SGRZkpaWRi774osvVmmaS75LKRWUyenTpzMzM1NSUhjW398foRUcHIyWwx3hXsiV2YBTp06Z/asB2R7LVrFJKEz8Hk4Pd4f3A3afHQfUIAvJ5gE3iDMky9e/Zt0pOF8zZsxA7mIq2KrYJ+eOc4Q5hYSEsJATtGTJEmksvRRFuS2o0KoYYoNEl6VLl9rb2yO0GjRoYGO8xuSBBx5wdHTEW61cuVLd092N2ABs3LiRLEferE+UIpPAAKgTqHx8fBwcHFDjSC8iWfv27UmG5FoWsU3yMHQXS3r06EF4y83N3bBhg1qOotRFJDR8+OGH6Irs7GyZ3ZTAEvJaprlcu16zZg0tzW6VQwa3VK5evTp+/HicBrKNklUYiqZzfHw860pISMCrbNmyRfpWB7IZFs6dOzd69GhPT09UH96vVatWTk5OHgYsRHTh/UDuGMQf5ufnowPpaA6n1CAc9k8//RQLwXiwSeIRZw3jISTJzwEIME7T5MmTz549q+dIUW4vKrQq5rc/3vWxcOHCFi1aNGvWDK3VxKBRo0aILmtr6+XLl9NAPdRdjNgAJfbwwQcfIKvIJ5BbVCSToE5iwUf5pRDINpydnTt27JiYmEi+RUpERR5HRsDr1avX66+/Xlpaaq5AUZQ6Bd4AmMVInd69e6O1SFhxAkgsQAuJKGL5wYMHaWl2qwQyMly5cmXv3r0bN24kA540aZK7uztpMd4GP8MqcDKskVWQQ3fr1g2/RBdziGqAwSUa7tu3r7i4OCAggJ2lxMXh6Ly9veVhgyguOzs7vB9LyOMjIyNzcnJ++ukntKI5kFKzcMp27tyZnp6O8QAGg/FwahBdlFgRFU4lQWrTpk3VakKKcg+iQqti8DtAkr148WI3NzdCiI2NjfxZCxo2bEg5d+5caWb2Ue46xAaA+rVr17799lv0kr29PUmG3ImB3AIqxC2CliRDlJJ4BQcH5+XlkXAUFhbOmDFjwYIFX3zxhfx5Xc1GUeoiMnknTJgQGhoaHx8vz73ACfj7+yO9UCBJSUnktVOmTKnkWxxkQKG0tHTlypVPPfXUuHHjRo0a9fDDD6Om6tev7+rqyiratGmDq8G34HxQdKyd1eFV6GiOdZuQjZGKOEAcV0REBKuWq3ZsCfoKBShXsVxcXBBdsoVeXl4k98uXLz99+rRlHEWOg+VoGAfm/2FZYvlWKrcCg5SVlSHU09LSUFPo//Dw8OjoaPljIecRu8WGEe3vv//+bVmjoigWVGhVQLnD+wNya0dHxwYNGlhZWTUyIOw98MADtra2L774IhGINmY35a5G7GHdunWobkyiXGAZz3Qit2jVqhV1JBYVNFinTp3IuvjK29t78ODBv/76KznH1atX6f6b8SxdzEbGVBSlzsEszs7ORmKRvJKnRkZGMtmRQIDEYmHbtm2ffvpp5rvZ4aaIW6A8ceLErFmzSIv79u07YMCAfv36UYmNjcXbIGnwMMgqVkGlS5cuyJ6oqCi8zeuvv17JFVUe2R4wRNb/fvbZZ/g01iu3TMu9guyjPFqQI8D2yOahAF955ZUjR47c9k2q68jxBI4tCvzo0aMHDx48fvz4hQsXZKEcamkpXW4dhpoxY0ZMTAzKSjQVRjV+/PikpKSEhARKeZAJS27jShVFARVaFYPfEX7++eeWLVuismxsbJo0adK4caWSK0sAAP/0SURBVGPqCC0HB4c5c+bgGWlj9lHuasQe0EvLly8n3SHPIL3wM56KgcQi42lv3ENILiL/XiDtIIaRNmFCYiSUGIwkMTKmoih1DqbwyJEjs7KyEhMTyV8RPOHh4fIfLSpIIHTXsmXLaFmZmY5PIPO+ePEi2mzgwIHFxcU5OTmpqamZmZm9e/cW2WZnZ4eSiY6OJjNGy8ndg/KXrdmzZ5sD3T7EU0m5Y8cOJCW7Brg1NoaAiPBDa7m4uODrcH1eXl44QxJ3hOLly5elozmWYiDHBNBXL7/8cnx8fEpKSkZGBob01ltvffHFF+fPn7e0MfvcGowG33//fV5eHutCA4viEtElf/DDXLHhoUOH6h2einJ7UaFVAbgnKWHr1q1EkXr16hn3DDaRZw8SYFq3bv3YY49JG+ml3N1woiUKUlm8eLGrqyuyCtvw9vYm/8AeRHGRebRp04asCN0VEhJCbjRp0qRLly7R0fI7sWCOqyhKnYK5jLwZPHgwmoqcFfHDNKcCPYwnYZDRfvfdd5Wc5rRhwK+//rp///65ubm9evVCX6Wnp1NBazEg4eY///kPvoW0GHVH0uzj44OWQ2ghb1BBx44dM8e6TeCpKJF/paWl8l5mNoPV4dw8jZd6sQFyuyAfHR0d7e3tcXfoQ/m3jzhJGUqxUFZWtmjRorS0NI4VgQO9ilhFM8stfM8//7w8qb/caG7H0WMQTsS+ffsQwIwvbyCIiopCccl1SMyJkiWIrhMnTpjdFEW5HajQqgCLp8NP/fTTT0QUhJY8eLBRo0ZoLVtbWwcHhylTpujViXuTy5cvv/XWWwQqMg8klvzQS4XYicrq2LEjkSwwMJDARhIGzz333JkzZ8SuALPBtMyxFEWpOzB/Dx48mJ+fHx8fT5Ysz1snWxWVxWRHCDHxkRw30RuGGzCh2UcffdSvXz/GLCgoQGtRAoKNDBhBhYxp2rQp2TnD0mbIkCGsy3JFCwG2atUqc6xbCEaWraUU73TlypXp06fj01gdK2Jn2RiQW6PJ16lQym9MIhXkwog6t7/DMVm7di0WEhAQEGvA8eTQcQw5s0QNDiANjHN4ezIKOaEnT55E2mEq2BL2w+mjlOfiyqUtyujoaExaet2utSvKPY4KrQrA10iooLJ69WpnZ+fGjRs3a9YMlYXcAnkIYVFRkdwmIb2UeweUEixdutTDw8PR0ZF4SbCUH5jJOShJRIhhhLTu3buznHRk6tSpp0+fxq4k/qnZKEpdhJm7f/9+uTJA2so0l6s91FlCHQHGwp9++kmCyI0QD0D566+/IqsKCwuHDx8+dOhQ6gMHDpwwYQKCqk+fPggquXzUrl07VtrLAPeCYyFHZ3XUly1bVu5QDGTwf4B0F+9EefTo0UmTJrFTSCz2zqIH3NzcPD09ZcdZEhYWFhgYiErEGRINzbGU/8bEiRORNH7G3ebEiFatWrm7u3NyCR+ILuCAnz17lsjCKTD73BqMg/SdPXs2ygo4Zcg84JShrzAe4hcfsSXyHA1MinIbUaFVMZZ488Ybbzg5OTVt2tTa2hqhJf/Usre3pywuLpYnHJh9lHsGsQ2C4qhRo1wNCJ/IKomjRFBSEz6SeBE+KcmWiGfPP//8lStXNJ4pSp1m165dzPSYmBjJX8PDw8lZUUHATEdosWTnzp20vNE0l+WUeIPly5fn5uYOGDCAEtBRKSkpRUVFSC8qrAU9Q8TBq8iNXvgWuVpOhSUhISEvvfSSjCbD/jPYEnFNlOfPnx83bhy+i71jjfgu5Bab4e3tjTZAbuHTAF9HmZ6e/u2339LLHEi5Aejnjh07Ojo6tmjRQvQqpa+vLwcZvYr0wqh++OGH23gk5YR+9dVXrAKVhalQYRtQepTAqWQJH+fPn0/j27hqRbnHUaFVAUbAKge/s2LFCg8Pj8aNG6OsEFq2traILkqYM2cOjdU33YNw0jGP33777eLFix9++CGxiiyEpIesiBxIfrDsbjwHmTo5CgvJikhZ0Fr61GNFqbsw93/88Udmd6TxXAp/f3+mNkILRAghgfr372+5Vdjs9jcYB9BsY8aMSUhIyMzM7NOnDypL7hiknp+fHxcXl5iYiJhxcnJC1ZCIMzhrpBQ5R+pMjj5t2jQGvEWXgjeTsqysTO6Lxqexm6yCDaDEm7EN7dq1oyRHx9exv8nJyThAurB2dkeGUv4OBycjIwPtSkQgo0BiycPxkTqcUI4tuouj+tRTT8lzCM1ut4CcEcqTJ09iTtgM54tTyVo4s0Cd88tCohVGKI3B7K8oyi2gQqsCxN0IxFQ8IypLbhdEX8mDB21sbBYsWIBvArObci8h5x0Lody8eXNaWhqCimBGRiKQfhE+CaKhoaFkLeRDZGZIMsuDuSxYRlMUpZbDhF29ejWTnTyVqS1/dKHOfGd2I7RIW+XZ7nCTec23Bw8eHDx4MPk3aqqgoKBv3765ubl4Ej5SKSwspCLXOuRer5SUlNjYWLwKK8KZsC5KKC4urnB1N8HSlxKhtXjxYtwXa0E6UpF0nDVSll8E6dgxICCAnUX1DRo06Oeff5aOgjmi8t/g/IpS9fLyQmi5urpStmrVColFSb1169boZ6LJ7QoHnE0Z6pFHHuH0YajYEmthMwCjoo4lo7UwLXnt2+1ataLc46jQqgBLzKDE6+GJWrRoYWdnZ21tjb5CaMlHuTNeuij3LJJnHDt2TP7SIHdoWGQVGQl1iImJITFq3769h4cH2RXGA2Ra5aZ2HeagiqLUSpikH330EfJDLlPLgwGZ6cCShISEtm3bvvbaa7gF8Qxmtz/Dcr5F0iCcEFqk12S6yCq5gRBNlZqaiuLiKwQY7oKv8Cc4EDxJJwOL+GEJfc+ePStjVsmH0Jj0WnrBuXPn5syZQ9qNH/Px8WEt7CCws4grFqKy2Fk2A282derU/fv309ccS7kpHN7nn3/e19cXocWxJQq4uLg4OTmhr+S6VocOHcg0OLw//PCD2ef28cwzz2CWnEdik6hl1sVK0V0REREYIbL5+PHjYgZmH0VRbgEVWhVjcTcrVqxwd3eXJw02b94coSUPw6CyaNGiqgY25e7DiE3lKc758+cLCwuJlyQixDOiF1mXJCUkQ+QrGFKTJk2Q6AKxbdSoUd999538iVxSFjUnRanNIGmGDx+O7EELUaJGRGX5+/uTvyKNkFsff/yx+IQbTWf56uWXX0YjJScnI7TwBqHG242SkpLk2e5UWMXo0aO//vrrefPmoX+kGZ6EZB0PwxrRP6waJ3P69Onfqv4QBdlIoO+xY8dwXyTfOC62pFWrVt7e3qyC1bGW9u3bk6mzg7LeJ554Qm4XRKeZYyk3hWN16NAhziznDonFsaUko0B6ETJcXV058q1btx47duylS5eqeh4r5JdffpEf/jAhsR8/Pz9MF+nFuUaus0R+OL7tq1aUexMVWhWAryHwSP3tt9/GIYqywi2SKDds2FCejbFw4UKJUtJSuTeRyIQZUPn111/79u0r/x3v0qULSQkQxkhNiKzyTz+syM3NzcnJiQZ5eXkFBQVkUbt27RKT0zinKLWZ/fv3Z2ZmkjHHxcWRsyI/UFbMcbnU07t3b5bv3LlTHILZ52/w1dWrV6dPn96nTx+5VxAdFRYWho6KiYnJzc3t379/dnY2ymfOnDmImS+//JJV5OTkkCvLdQlA9kgv1rt27VrWaAlblYTNKA9g//u/hw8f7tevHxk/W4LQIgUn73d3dyf1l4swfIX0ot6yZUs2ElXGuuio/qrycMZfeuklTp+npyeH18PDw9nZmZOI/XBUCQcc56lTp1bHUT1z5gyBSS5eEZswWk6lXNfColjOGR8xYoTcPWj2URTlFlChVTFG9Cn3d59++qmXl5dczsIttmjRAsUlF7jmz59PS3VMioAlYDO7d+8mpBFH5QdgwmrXrl0JooRSeYyKnZ2dvb095kRJykJ+g9yaMGHCDz/8ICOYwymKUmuQuYm62LZtm9zUhyJKSkpiCpMoM8cRPKgUSE5OPnDgwM3nMl/98ssvqKysrKyEhITU1FTEEn2pUKakpMhTMSjl4tj69evDw8NRdygrMmPq6Lr27duzDVT4iGZj2MoILUajmWyecP78+eLiYkZmX5B2BQUF+CsGJxcn9rFrrAKhhQxg1Tg3tpxe5nBKpeGgIWhHjhxJUOAIc0ixHA4pJYc6NDQ0Pj4eRV0dx/bixYv5+fms1N/fX0qUFSoL9Y5ix37kauqJEyeqqtUVRfmvqNCqGHF2RKPt27fjFhFX4OjoiEN0c3OTXPmFF16ggbRXFIwBCFQ7d+4sKioiUyGYEcPi4uJIVpBY//73v7EiBwcHP+Mv0VgReQyZFo2RWy+99JKMYA6nKErtgHAgc5PZPWvWLFE4ZKgILQSS/H8pIiKCemxsLDJpz5490sXs/zcYZ+rUqQySmZlJgos2Q+RQitAi4aZkycCBA0tKShhny5YtQUFBLEfOsS7yY7wKG8Dq5IrW8OHDZfPMFdwY2SpLgKPLwoULSfcZh/xbFKPIgLZt23p7exP+WB11Fj755JNnz56tDiVw18OhFo4fP/7hhx8++uijSFZRs56enhxtPr733ntyQ6bZ5/bBWX7iiSfk6itmI7e8smrUNdaLysIOsTeynepYu6Lcg6jQqgDDH5a7G8pt27YRe6ytrUmLnZyc8IlILEB0LViwQJopimBJX8i00E6oKfmbVufOna2srP7v//2/yC0XFxeCHIaEOWFIPj4+5EyjRo2aOXPm0aNH1aIUpbbBrGRqA5XJkyeL/BDBI/91IYWljhCSuXzmzBka30T2HDlyBGnUy0AuglFmZGRkZWUh3nAaqDWS4Lfffps1wu7du9u0aUN+jLIiM+7Rowftacka6ctKCwoKKv9SRzZM9uXChQtPPfUUEo5En70g78c7ubu7450oScSB3aQMDw9funQp7elrbJG6qSpjWJDJ6dOn33///T59+nAeCwsLX3jhBXH+cBOz+ccw7OrVq5HTBKMI490AWBEGlpubK6IdocW3bEZ1rF1R7kFUaFWA+Du8IfWvv/6a8IPQatCgQdOmTUmX69evT8XGxubJJ5+UqCO9lHscsRnLQ3J/+eWXnJwc0pTAwMCOHTs2a9asSZMmGBKW4+rqigmxBLnevHlz8jZCHYnXJ598ouakKLUNZqXAvJ4xYwYz2t8AwYNKQYTIDWCoLyovvviitJQu5hB/5tNPPx04cGBeXh4uAqWUZkD6S77LEtQU2XBqairNJAyVlZWNGzcuOjqaBp2NZ9ORH6O7Bg8enJ2dTXvKc+fO3WSNFqQNw546dQrRiGtiXag4ucyOxPLw8PDx8eEju0Y6zk7hnT7//HPZo5vvl3Ij5KBdD8kDgvzkyZPHjh2TC1kskYwCzG63Cc7ali1bUPLYZ5cuXTiznFaR6JgTQpokh3Odnp5+/vx5s4+iKLeACq0KEDcn/u61116TB2CAqCwUF3XS5Tlz5kjUkV6Kcj3YxtatW0mbSIlCQkJatmzp4ODQqFEjjMfZ2Rn7QXQhtERrEed69+4tdw9aEhpzIEVRagGSGTOjUSbMaOZ1TEwM4oePiYmJocZLikhb161bV2FQ+PDDD4uKihBXWVlZKX+AfEJrMT6j5efnP/fcc/L6B3EIOIdOnTrRhRS5Z8+eeAw+orvoEma8PQJvQzMw1/FnGITtt5Tbtm0bP348IzAU63V1dUVitW7d2t3Azc0NoUVSLnv3/PPPX7lyRT1S3QWruHDhwujRozEVefwGJ1fkFvqqVatWmJNIr5KSErOPoii3gAqtSoFvIrS88MIL9913H6kwKbI8Nc7OeKEW+fH8+fONuKZCS/krYjzkNLt3787NzSWGdejQgVRGroXa29sjupycnLAiW+MV2FhUmzZtJkyYIM/2le7mWIqi3FGYj1I5cOBAVFQU8oMZjbYR0CqUJKksJ2395ZdfpLFMZKn/BcYZM2YMWS+CCrGUkZFBd/QVIyQkJPBx8ODBP/74I93xA1KizZBAyDmgo1xMs1ygQPjNnj3bWOEN45EMVVZW9v777yPPvL29UVOIK1RWy5YtfXx8KL28vPjo4eHBVxAeHv7EE0/o/7LqOpw+QDAjmzt37ty1a1eMFkvDbDjjnOh27dphV5GRkch1s4+iKLeACq3KQlhCTdWvX5/kuEGDBlZWVnL3F+kyFBUVVdNfV5W6jgQ2wDx27NgxZMgQeZYu8czFxaVFixaYE+odUFlypRT1RfB77LHHaE8vtStFqSUwGWUu79mzB4mC1kLnIEJE7VBh5nbv3p0Sdu3aJV0EGeEvfPfdd9nZ2Tk5OcOHD8/KykJipaam8hHRJS/RevLJJy9fvsxKaWw4kv9dv359mzZtUHSsjg1gRSK3qJMxx8XF9e7dW945K6v4C78ZIJkeffRRHBEqC9nGgPglX+Oh7a1atUJfsVz+poWEa9u27dNPP33hwgXWzrCU5lhKXcOwxN/fffddTjSyipOO1SGrqHTo0AHbQ3EBon3OnDlmH0VRbgEVWhWDV6IktDz//PMPPPAAsopUmJy4UaNG//nPf+rVq0c9Ojr64sWLGn6U/4pkJ0B+c+TIkQEDBhDVOhmPwWjWrNn//M//YFfYEopLXq7VunVrQl1ERAQJk+WpZRbMQRVFqXFkDjKRP/74YyYpnh+RA4GBgeSp/v7+KKXY2Fi+Qvns379fukhfCzKIVNauXVtQUFBcXEy+m5aWhr7i4+DBg5n7qCx8BYPQTIILJZw8eRJBRXKckZGBuCrPiw3YDEQRG8BQO3fulFUIltUBI1y6dGnatGkBAQHoKy8vL0o2HtHl4+PDLnTt2pUsHKFFiS9iqz755JOrV69axlFqEjllxqkzD76l8s+g+9atWznXmCgnF3MlGMnPfwSdoKAg+efhhAkTaCyrppS+iqJUFRVaFVDu2wynhqNZtGgRmsrOzo6EmPzY1tbWxsamRYsW1tbWRERCrzoj5eaIOR0+fHjcuHHt2rVr1aoVWgsTQrQjsdzc3FhIzOvevTs5k2Rso0aNIivCtDAw+qqNKcqdhWl47dq1yZMnk5L27Nmzi/E6chJTlAkzmlQV8cNHgsKNHidguAGTDz74YNCgQQMHDszJyUEg9evXLz8/Pzc3l4/p6emfffbZ9VOe9uIKWDurQGvJn2r8jAcekjezdtaLWpOLaRboSElfYOOXLl3KxrPBYG9vT+nu7u7k5ISyktvJRGuxd3ihr7/+WpyPDKXUJOUmch1yBs3v/hEyzrlz52JiYjCh8PBwubSFDWBLSG4XFxc0GB/79+/Pebd0ke6KolQVFVoVIP6FEu/2xhtvuLq6Ojs7N2zYkJhEHZdEidwaMGAAzW7RAyp3PUbAKrelkpISwhjJDSlacHAwyQ2Q+pAqkdywJDAwUG5Datu27ezZs8nYygOs8eOiOZaiKHcCpuGFCxeGDBkSFhYWHx/PJBVx1aFDB1/jbbOIk4SEhEceecTs8DfECVAyrx966CE0FeJK9BWhpKioCLFEfdq0aSTEZp/rIP2V61Hdu3dHEZEl4yX4iO5ivagsBpS7js0OBrJGPM+CBQtSU1NxPmgzttzNzY3ufHR0dCTnps6OiHhDQ7IXrO7q1at0NwdSahbOmiByF8wv/hGWQYqLiznX8jAMrBeVhQ14enrKeWchsWnfvn2017ijKLeCCq0KEP9i+KXfn3/+eUKR3O7VvHlzOzu7Jk2ayNuQ+vbtK8/yll6K8l8hYgGhC3bu3Jmdnd26dWuyJX9/f/lfe7du3Yh8VMiZkpKSyNj4iuRp4cKFcm+q2pii3EGMUPA7k5e5GRMTk5KSEhcXh1yhDDIeREGFhWlpafJECrPbn5FBmM7btm1DU6HWMjIyUFZZWVnDhg0bNGgQ3XEOX3/99d+nPB/xHjgEvAQbwKo7G3/4xG/gSUR9sW3vvfee2cGAcaScP3++PI/HwcEBoUVfV1dXkmwvLy8fHx8qKLeOHTu2adOGDXvmmWdOnDghm/qXzVBqBg675fhz3llCSV2+/QdIXwZEQiOo0OQYG0IL+yG3wQyoYE4YM6p70aJFsmpK6a4oSlVRoVUB4pXE0RB1rKys3N3dUVkNGjSoV6/ev/71r0aNGuGP8vPzyYNvxf0p9wJYiIA5wdatW5OTk/38/Nq3b0+KFh4ejqySS1tAzhRsPHiXKNi/f3/MT16PI+NYSkVRaozy2fv77wcOHGDmInWYs8xQtA2TlDI1NbV3796xsbE9e/acMWOG2edvyCB4gI8//pg0F1BZKCviSL9+/RBaKK6BAwd+88030tLs9kfHa9euvfXWWzgNVorHYL1IJpJm5BNQR0pNmDCB8ekipfQ9e/bsyJEj5cKFpQRv47kXzs7OctsYg+B53nzzTXnxMSMYq1VvU73ImZLjLOX58+ePHDmyevXqjz76aM2aNYsXL/7pp5/k6qJxQv5fy8ojHRnhww8/JMRgxpTIdYw2NDQUW+rRowcpDfK7devWeXl5ouvA7K8oShVRoVUx4pWAwNPUeCS3ra0tWguJ1axZM/mbVnp6OjFMnZFSebAoDGbv3r3FxcW+vr7kRnIbIdEOrdWmTRvSIJZ37dqVjyxPTEwkddu1a5cl8oE5lqIoNYJMus2bN8vtgqSnckVL7iGUZ7IDy+VVeNLrLzD3KcmYn3zySaY/mqq/wZAhQwYMGDB69OhJkyZNmzZtxYoVlsaCMenLWbVqFRILn4DcQuzhJfiIxEImUSdX7tu3rzwIF8Rj7Nu3b/z48WwhssrDwwNN5eTk5GaA1kJlyQUNBpHLWSUlJdevWqluOEcSFAAtffjwYcyjT58+cmZR9VKOHTv21VdfLS0tlfb/+Bzt3r0bA8Z6GTMjIyMyMpJAwyqwH/n/MCGJxEa2B8xuiqJUERVaFWPxfR9++CFCq/EfNPkDBwcHvOG5c+f+sctT7kHEqMiB0Fq5ubkiqAICAsiEqMujwMii2rZti9wiGSIExsTEDB06VF6qc4s3kCiK8s/Azy9fvpxZmZaWhtQhQ2Xayq8hSKzU1FR5Edbq1atvNEMlphw4cIDpjMpCFMmFLOoILTLpcePGIYp+/fXXv4wgHykPHjyYnZ3NWtBUeAy5AE5m7Ofn16FDBxwIC3/++We8BNBl7dq1SEHUFA0QYygrVJadnZ382ZjlQK+OHTuSZKMYkXmsRVan1AxiFZRXrlxBY48aNYq8IjAwEEvDujgvnDvigtzeOWPGjJ9++ulWXh59/vz5goICLFYe7N6lSxeUNskM42MScpGW5YcOHVJLUJRbQYVWxYj7o/L555/Ly45atGgh17XkbVokwQRIeceIdFGUChG7Aio7duwgprZu3ZpUiQyJRIf4SvwTldXSQP6GwbekYqRNFrNUFKXGkDm7cuVKZiuaKiMjIzY2Vv4uJc+iQH1Rh788YP16mLynTp2aNWsWmS6DJCUlUWZlZeXl5fU2GDFiBGn03wMKA4pwIv0dPHgw4gqfgLtAaJGLUyL2ANfh7+//0ksv0ZgumzZtYttIo8mhPTw80FRSklWDVMjgSd9DQkJwL2+//faxY8fUw9Q8HHD48ccf0eqcQcQP5wVVLK81k3CA3ML2+BZLQ49du3bN7Fx1Fi1ahM0wIMMyvr29vaOjI2tkfIwKZU5l6dKlagmKciuo0KoYXAyOBpYvX06swtnhj6ytrZs1ayaXtuTx7qdPn1ZnpFSe8oj6B1gXmRNyHUGF1iK+tmnThrzHx8cHfUU61b59e5YQDsmiunfvTghcuHDhpUuXzP4G5riKolQnzNbFixcjZlBH6enpcXFxyCrEUlRUVHh4ONILucVcPn/+/PWzUiYpfSnRP8x3VBaCqn///oWFhX369MnJyWGJPHtw3rx50ljam0Nc9+sM6fXs2bM7GY90JyfGJ6C48BtySQpfwVds2zsGVMSTkLKjqeSPWG5ubgSyFi1akMTTmL6UaDxUmcgzwVyxUv3Iyb1y5crUqVM5WZwgxA8pBxXEMKVczuLkUnbo0IFTn52dvW/fPrN/FWFde/bsQa0h6rAHgouEGNYia0eco8EwUeyBbTO7KYpSRVRoVUx5rDO8zLZt2wileCLEFSqrQYMG999/f32DrKysv4RVRak8WA42dvny5WeffZYgStqEoCJzQnTJL9ZUiKyE29atW5MSRUdHo7UWLVokHeVHbkVRqhtmHEycOJGZiKDq3Lkz81EuYTElSXzJXJmes2bNYmLS0uxmIB+ZrWfPnh0zZkzfvn1RVkOGDEGVoXDomJmZSWXAgAHyUHVjVeVId7AsvHTp0gsvvMAaIyIiSLgDAgLwD6TLLVu2pAQ8BstpQPbMpqKm7OzskFjy1yySaRSXXMGQhbgdRBoyj5HNlSk1S3meYfDiiy8ietu3by+amdMnZ5azRvrRtm1bThZxgVMfGhq6detWs38VwYqOHTuWkZGRmJjIqZdAI4bk7+/PWghDVIhEO3bs0BCjKP8YFVoVgDPC8UnlwIEDRC8klpWVlVzLuu+++5BbVPBWp06doo30UpQqIfEV0FpPP/00kZUkKSQkhEBLiKXetWtXQq/84kjwi4yMJJkjJyME0stipYqiVDelpaVxcXFMyeTkZLLSoKAgFBeSJioqikpSUhKi64MPPpCJafb5I5TIwkWLFqGyhg8fPnTo0KKiIuRNSkoKoxFHICcnh+VyvVo6yggCH+H48eMTJkzACUBYWBguArdAuox/QFORkbu5ueEu2CoWUnc13vqIrEJftWjRgkydjwgtuU7i7u5OM5Ls7777TlPqO4XFPF5//XU/41G0nEFCgNwx6O3tbRFaBAhOFvbGSf/222/N/lWHcIMVoa8wY4ZlTErWKOGGDaBkvfPmzTM7KIpSdVRoVQBez1IeOXIEodWoUSOUla2tLV6vSZMmcgMhwZXIJ80UpapIfAUq58+fnzRpEpkTCRyZEJGPaEcgJAp26dIFCyS+du/eXbKrwYMHHz582AjQKrQUpdphku7du5epFxsbizQiGZU6ISAiIkLEUr9+/bZv3/6XKSmTlO5fffXVMIOxY8eOGjUKlZWZmZment67d+/s7GxRWbNnz7527Zq0B3MIY+0yDrz11luoI9Yoz+EgXZYLEWThAiIKR8FyQpWTkxMCDJWF1kJWkcHzEXx8fCgZJyQk5OmnnybzZmRzZUrNIieX8uOPP+ZUonYoUVw4f8ry/+m2bIlC5txREh1SU1OJArcitFjdyy+/THwhrGDJWAtlYGAgS5BbrBdIdViXXudUlH+MCq0KKI9yRpz77bffiJ14onr16qGs7OzsiE9EMgIYcquwsJAQJS0V5VYg+JWWlvbt21fyIfQVVgehoaFyu0h0dDRZEfkTuosEa+LEiUeOHKEXmRkWSAXMsRRFua0wxXbs2EHqib5KSEhgAjJD5cpSTExMVlZWnz59Bg8efPDgwfLI8eeIIJN0xowZ8l+soqIiJBkzvVevXug0SlRTbm4uggcPYPa5Md9//z2JOB09PT3Jj8nLfQ3IwolNLLS3t6fCR/QVuLi4ELacnZ1xLEQuKnyFMOMjMu/DDz+UV6Kr97jjXLhwYebMmZgWp5VTjAwmEKCckT2cLzlrcqcfVvfrr7+a3aqI2Odzzz3n7e0dHh6OuCLEMGBkZCQVxLmIdkyFhGfjxo1mN0VRqogKrYrBGRF7KJctW4ZLkqtYtra2lIQuwpWNjc3IkSMlzTX7KMo/ojz0Gfz4449EO3KgMIOoqCj5xVp+5iTJk3AI5HyYH1qLXpInUTGHUxTltsLkIumUf0AhtJibTECmZ3x8PHIlJSUlIyMDsST39Jp9DOh4+fLlL7/8ktlquXiVmJiYlpZGL1RWZmYmSwYNGvTZZ5+ZfW7Krl27SIvlkXHk4uTfBCOUlaOjY/PmzZ2cnERo4UP4iNDiI2GLkjptqLQzHmTKNmzYsEFch2CuQLlDYCp79uxBgctT3Sl9fHzQPJxrzjLIj7yc2djY2P3795vdqghrgU8++YRMhjExIeQWdsiY2CSBhvGB9WJXX331ldlNUZQqokKrYnBGxB7K119/nejVqFEj4padAbEKlUVl2LBhllvqFeVWEGMDcjUCHjZGFGxvvFCL9AgLbNmyZYcOHZBY3bt3j4iIQIARIMneaC8dzYEURakGFi5ciL6Ki4uTHztCQkIQPMnJyfI0C0Bo7d279+8zcfXq1TRDnhUWFspFLSQWH+mYl5eHTqMj6fXhw4crM4uvXLkybtw4FxcXvIFk3jgHPuIuXF1d8RWiu/jYokULghT6igrQhsbywAx25LXXXmN1hsIyMVeg3DkuXrw4Y8YMhDcGw2nq1KkTcppTRin/ocLnY35z5swpKysz+1QRTjTnHWMLCAhATWHGGDP2wLqIKQQXVicyjyVffvml2U1RlCqiQqtSiEuSx7s3MWjcuLGVlZWtra21tTW6q7i4+MKFC5WJjopyEyTjofzNeKLuxx9/jMRCzJMzld8VZLy5mBSKnMnLy4vQSAzu0qULuRppX58+fQ4dOiTdzeEURbmtML8mT57M1EMURUVF9ejRg5SUj/LYwPj4+KSkJMQS6S/T8PqZSH3RokUoK5QYskremsWcpSLajEpqaiqh5OrVq2afm8KA7733Hn7A39/f3d0d+YTQQlnhJXAX9vb2LEFxAXWQK11ynyHt6divXz9EI05DbscQ2EFzBcodQk7Enj17Ro4cGRMTw/nitPoZb5r29vZG/LRt2xaV/sYbb5SUlNzK+SLKcOqnTJmCVg8KCkK/sQpCjMQa7ArDBuoTJkww+yiKUkVUaFXA9YHn1VdfbWG8qljeU4zEAip2dnbES32PlnLriL1RkqitXLmysLAQEdWmTRsyJzIk0iMCIfVGjRqhtQjAgYGBRMdOxmtwSPhGjRr1008/kagxiIxjjqsoyi1gmZgXL14cOnRoZGQksgqQVdHGc/+oxMbGIpaoMA2lsZRSOXLkCNkqQis9PT0jIyM5ORlZxQioLD6ysKioCIW2atWqSs5c2uzbt49sGPAJCCf8AxFK7hIUZUVdoC4fcRr4ClLnnJyco0ePyjMGjW1UX1FbkNOBGZw9e3bv3r3I6YkTJ6KssC7sZ+rUqStWrDhw4AAaqZKm8l+RvpSbNm2KMl4BRzQJDg7GkJBzLY1X5APxJSAgALm1bds2aW/2VxSlcqjQqoByh/eHI/voo48IVA0aNGjYsCH6qmnTps2bN0drIbQGDhxIALa0VJR/htgbHD58WPI50rjExERCoNwOhMmRSzVr1oySJS4uLhIFBbmX6e2335YYbA6qKMqtgSBhVjKndu3ahSiKi4sjJSXrRSyhr8hTmXpUmKosf/bZZ2UWC/Q9f/78888/T3tkGLIqISFBGvNRLoIxZr9+/RA/+/fvlwzYXPGNYVgS8dzcXLZBbhF0M95B7OTkJJpKShwFEUpKQGWROvfo0WPPnj2yeWCOqNQOMADBcnbKysrOGKC7rl69KsuBNiKV/xl0J1KcPHmyV69eHQ169uzp5+eH1kJiocZRXB06dJBnVH7//fe0pxfrle6KolQGFVoVI26FcuPGjQQzlBUS64EHHqhXr179+vXl4+DBg2kjbkhRbhGMjeA3bty4sLAwcjLSuM6dO7du3VoewUIiRTqF1SH4Gzdu3LZtW7mFiYjo7+/fvXt3ouaJEycYBMwRFUW5BSxZ70cffYSUQh0hk1A4ycnJyCRAesXExCCloqOj586da2kPV65cWbRoUWFhIY2zsrIQWqLNKBkHUFnopfz8/Ly8vJKSEullrvimXLx4kTHpSIosP8QgpURiGde07NFXIrGkjgMhYyaNnjx58vXXskCDV+3BPCV/wKmRs2N+vm4J/GOhZY71+++HDh3CdDGMli1bBgUFhYSEoLWooMmJKZhWQECAu7v7Y489ZnbQsKIoVUGFVmXBuezYscPX15fUlogl17XQWvJarYKCgut9n6L8MySMAUKLwEb2Jk8ni4yMlItamBzmR1AkZ8L2rKys+EggRF/17NmT6BgaGkrutWzZMqyRcaSUkWUViqJUFZlKly9fHjp0aNeuXVFHYWFhzEoRWpSkqgl/vLb422+/pb3MuGvXrq1bt278+PEPPvggYQJtJte1KIH2zHG6s7xXr14zZ86UP3fJSm8OzWiMrqMvm+RiIJoKrSXXskRfSenk5OTs7EzqPHHiRHJrYwPLsYwmFaX2wEmxJBXGuSrH4tKlIvV/AB0RaZQXLlzo27cv+ioiIqJz585YNUIL0YW1ULZp06Z9+/aEHuzTsmpFUSqPCq0qsH37dvwOEotghsoizRW5RYVsWC7om00V5R+BCQmlpaUPP/wwMS8tLQ3rIifr0aMHAc/Nzc3GxsbR0dHyIJamTZt6e3t36tQJuUV7ym7dupF7kUtJHCU6wq3cYaIo9zgyK48ePRoeHh4aGpqVlYVAgsTERCRWbGwsy+UiFRP2zJkzMung7NmzU6dOHTlyJCKqsLCQiUwDOlLJyMjo37//6NGjhw0b1qdPn/T09I8//pi1VHKqMjiNGa179+4ILXd3d6QUCbGnp6eH8W5iuc2YaAXUfX19u3TpsmzZMrSfrILuMpRyD8LZFxOifPfddxFXwcHBZDhIcclzCDHYT7Nmzdq1a4dR+fv7YzY0NvsrilI5VGhVgR07drRp0+bf//43rgdxBXJFizInJ0eSWrOpovwjMCGJfBcvXnz88ccRTvHx8cnJyeRzpHdyLwc5k/xFEBo3bly/fn17e/u2bdsSCMPCwsi6iIudO3cuKirauHEjZqmWqSi3iEzMffv29ezZMzMzU55MQKVHjx4BAQGoLLlvkNmKaqKlpLCwdu3a7OxsRBTtexkwndFjAwYMQH0hvUaMGPHQQw8NGjSI7m+//TazldVVMp1l/BkzZiCxmPKtWrVCaIGL8fR2uY2QUm4pRHe1bt0aVVZaWirbphmzImYARApMiPBBiCHJwaIILmJIhBs+Ir34iP3TmF5mf0VRKoEKrSqwa9cu3NB//vMfhBZYWVlRJ82FgQMH0kAdkHKLEMYoJf6999575F7yRw7KkJAQpFRgYCBhz9raWowQoUVEpMLCbt26SYNOnTr5+fkRNTMyMj7++OPyQKrRUVFuAZlB27Ztkz9oRUZGRkVFJSUlIbSYdNHR0RERESgoZNiDDz4oc43y6tWrs2bNQt7IhSx5BLxcy0KP5ebm0guFxkJgji9YsEDmvqz05tASVTZ9+vSgoCC2ithENoymamE8eFBEl6enp6/xtHfkFt/OnDlTdkRKMMdS7kkwAPkZ7uDBg+QwmCLGjLgS6Y7BYDxyOat9+/ZUVq5caViNmo2iVAEVWlVg586duKFGjRrJ9XRKW1tbQhpZ74gRI9QBKbeO5FhiSGR1+fn5pHQJCQkkZ1TQWsRCBBWBUF7mhu1hgXZ2diRVxlOjOhIROxvQmI6FhYXfffed/EwuJgrla1IUpdIwa5ibv/zyC9IIRUQpjwONi4uTy1ksoY7gQczILINz586NHTuWb9PT03v16iUqS65r9evXb9CgQVlZWcgz+Zavli9fbvasxCSlzZEjR5jg8naHgIAAEmJ746nugouLizynm1BF2aFDhx9//JFeorLMUZR7GEu4gddffx0pRQShxGxat27dtm1bPz8/PkrZtWvXZcuWSShRFKXyqNCqAtu3byd/tbGxwQ1REr1cjXdBkuwS7a4Z73w0myrKLVNWVvbee++RnJHAkYqlpqb27NmTrK5Hjx7YIVoLnX/ffffVr18fa0RrkUhJRERrES8Jk4RG8j9yuBUrVly+fNmSYEl8VRSlkhi56O8//fQTsw+JhXZCblEJMwgJCYmKikJ3RUZGLliwwNKFSYfQYg4iouQBGExkZnR2dra8rZiFLGF5fHw8Czdt2iQrAhnkJtCmtLSUcRBabdq0Ye4TmJyMZ7tTEptwEWgt4hQffX19EXXnz5/Xua/8V7Zt2yavv8dUWrVq5eXlRQQhplDHuvhKrtbSUk1IUaqECq0q8Msvv/j7+5PdOjs7E7qaNm1KnQSXNDcnJ0cfhqHcXohnqHc0UnJyMskZeZJc2qIkwwsODkZuofMbNGiA1McUybSIkZQBAQFypweRkmYESBJBYuSBAwcwUYvcUhSlkjBl4KuvvmJaobIAaYSCYmaFhoYyxVhCFEB0vfvuuzK/KNesWZOamsrMzcjIkGtWoqnkGYOZmZloLUomeL9+/WbNmoVwMtZTqbsHpeX06dPRVG5ubsx9oA7oKyIUcQrpRZ3lyK3i4mKd+8p/Basg1hAj5Hc6uQqKIcn9EQgtLJy4k5SUZBidmpCiVAEVWlVg48aNPj4+VlZWpLaAxGrUqJGEtL59++oVLeW2g1EdO3aMJIzMDORHcSpkZlSQWxhkcwMHBwd/f/9u3bp17dq1Y8eOHTp0kDSLSMkSudkpNze3pKREky1FqSoya2bPnk0myrwLDAyMjIwUuYW46tGjB5lodnY2E+3rr78WmfTbb78tXbqUeSdvIkZrybUs6qKv8vLyBgwYQMnCTz755OrVq7IWQdZ7E6TZhg0b2JIuXbow2cmPvby8PD09qfDRw8Ojbdu27u7ufEu0mjFjBu1l2xTlL2CuGCH5DGbj6OhIiS116tSJUILQItwQPggxFy9exIrMPoqiVAIVWlVgx44d5KxILLSW8SSC8mcPkunij4iXBDC9fVm5vRDSMKpPP/20oKAgLi6ONC7RgFRPblVCdAUHB5NUYYQkf76+vgRIPz8/zJKFpFmERnnqtFwBmzt3rozJ4JasTtalKMqNkFkzfvz41q1bh4SEdOzYMSgoSF5eh8oCeVH4sGHDTpw4IWKGLp999lmhQVZWVu/evRFXqKyhQ4eSs1IhahQXFyO0HnnkEXkYoKyrksj8/eKLL9B7qDhmPTDrKcmPCVVy6xdZMqWTk9PUqVOli9m/mmFFcPz48StXrpiLlFtDDqnFb2OQ13+0wJK/LDT73xS6fPfddxgP1oJW79atGyEDI2cJ1k4EIY4QX37++WfLmJaKoig3QYVWFSBmhIaG3nfffUgsGxub5s2bOzo64nrwSmlpacRXdTrKbUTMiZIQuH379okTJyYlJcmzztLT09FdVEjaSOPQXaRTku1hkKRZ8t/39u3bU0YYkHWhxOjy5ZdfMuy1a9dkcFmLoig3gTl48OBB/DzZJ0LLx8eHCUUCykemFfMr3nj18IMPPmi5tYGSrHT06NFoquzs7D59+qDEgDlbVFTUr18/VNnAgQNnzZp14MABaW+sqrLQnq1ifIZiwzw8PJjscsMwJVuF1vI3HkPKRuIWlixZIvm32b+akXVRmp+VW4bjKaeP8syZM4cOHcIm33jjjZdeemndunUY27Fjx06dOiUXnYTKn3Fk244dOzDjnj17YjaEEsouBtiV/LKA2S9evFhGBrOnoig3RYVWFTh58mRAQABCC30lf9CyN97BT4XYtn79enU9ym1EgplAvCwpKVm+fDmyKjw8vHfv3nl5efLHj8cff3zDhg1Tp06V5XIvE9GRBAtzJTR27twZxeXu7i632tOAYEkwZkyRW4qi3BzmILMGAYNoYXIxxRBXlOSj6JkexhMymFxjx46VCStdjhw5whK5lsXMzc3NTUlJ4SMVSoTWuHHjfvjhB2aiIOuqJNLl2WefZeIz2YlBzHQSYjay/NqWnx+JMiUbJncdE79q8v522TyosTXeCyCH4OrVq08++aQ8TAUPj59HBYWGhqK3ARn/3HPP7dy5s9wQ/7h/4eZIy/3792PV3bp1w6pDQkKIGoyMtRM7kPGYVkxMzPDhwy9duiRdOLnSXVGUm6BCqwrIFa0HHnjA2tq6cePGlgfpWllZEc/kgVFmU0W5ZSRHASKlkbGUc+jQoYULFw4dOnTAgAEjRowg3P766680PnPmzCOPPEJcJOUC4i4BUu4g4mNL43WTnsbb/eU2wrfffpuRGZBSVqcoyo1gmnz66aekoUwf5hTSRX7RkOmGwpEM9ZVXXpG8tnzeGu/R+uCDD5iqyCrSXzLj7Ozs/Pz8goKCxMTEOXPmHD169PLly7SULsaqKovFITA42xAVFcWs72DcKwhMfyQWuTIbyXoXLFhQnqEbnsTsX80YB8DEXKTcGnLuKD/55BPsDWFvuXkBudW6dWs0dvPmzW1tbUlLJk6ciCLijFfm+MtpKisre+KJJyIjIwkTEkEQV6wCDU/soERokQKtW7eOYaWXdFcU5Sao0KoCJ0+eJHTVr1+/adOmCC3cmY2NDXKLCqF3x44dZjtFqU6uXbt24MABot2WLVtOnTolMRJKSkpI5tD8ZF1ESgIkJekXH729vX19fSUYEym7d++elZX1448/Shguz9cMzBUoivJnmB2fffYZiSYwswgETKKAgABK5hdZaXh4OInvrl27mFBmH4OLFy++9dZbeXl5zLhevXolJCRQGTp0KOroiy+++EvjKsEm0Z0p/M033zAmMz0kJERUliTfbB5lTk4ODcw+Sl2G0w3kIZxuzjK2h2N3c3NzdXUVIcR5dzLeUs1CjAGRX0lpLSPD5s2bk5OTEefBwcFi28SLbt26IeGoYGPUZ82aZRFaICMoinIjVGhVgfPnz6ekpNSrV69FixZorSZNmjRo0EBeqIXQ2r59u9lOUaqTcklkIHFOKlIePnx40qRJWCNhmByLYEnyRwCW6AsIrS5dukhSSNpHqieRWDBXoCjKn2FyTZ8+nXSTRJO5g9wiB0XJ8BF69OjBRxYePHiQlmafPzLRCxcuLF++fNq0aePHj58yZcrLL7+8ZMmSzz//XH4lMZtWHRlcfivZuXPnmDFjUIBMfF/jHQ9kyfn5+a+88sqGDRt0at8diJfetGkTIsrFxcXLywtBJY4diSU/pXXs2JGFVNzd3TFLy6NZbg4mREnLbdu2JSUlye8IKCtAdGHh7du3Z0lERARaa8iQIZi0tDd6K4pyM1RoVQFCGqHr3//+twgtQGjZ29tT8ff337Nnj9lOUaoTI78y4yJInVLqu3btGjx4MCkgoVEuYRF3sVhLJOarOAOMlkhMzievgANjeEVR/kpZWVlRUZGoKXJNJk5kZGRycnJCQgLZJ7OJfDQtLe3QoUPXzyOZVvJbxvnz50tLS8lQWcJHEUhgNq06lkFk4qPxFi9evGjRIhQdILGOHTtmrKG8gdlHqeNcu3Zt6dKlSH3cO3Ial47cMt6d5uro6IhAysjIQGx36dIFz5+amipvZjM73xixEyqI/+LiYowZWRUUFNSuXTvUO6sLDg5u27ZteHi4vMtxy5YttBfDkxEURbkRKrSqwKVLl/r27fuvf/2rWbNm9erVa9SoESVCC8hZ/37TiKJUB+Uh8bogJx+BJcASNP+gQYMsf4snGHt6elLKrfaEZOodOnQIDQ0lXySIvvDCC8RXy4AyplQURYETJ06QfZJ6oqmYNSEhId26dbO8zi4rKys7O3v06NHyhyuBXjKnLKVUBMtHGf8fYBmEugwloL5Ix0HqslC6KHUaznJJSUn//v1x7AitVq1aobIATYVj9/Dw8DGgzhK8PUJr3759YiEVIiaEwTz99NOoKTQVdo7cwtSlZGFOTk5UVBSi67XXXsPApIvZX1GUG6BCq2o8+OCDjRs3lstZ8sJisLa29vb2/uabb9TpKLUB4t+5c+dGjBhBrJVfJZFVnTp16ty5MyFT/t+MypK/cFAhiObl5R08eJCOV69elRFkKEVRYO/evUyTnj17JiYmRkZGkm52NR42iNCKj4+XB13MmjWrXNNcJ2+YR2VlZSS7Bw4coCLTipKvZFhFqTyYDab14osvBgYG4rrJOhBUOHNKuWGBJfKEQNRXmzZtwsLCNm7cWCVjozGZDEEBWZWWlpaUlEQEEeSec7mTkG0Q81ZLVpQKUaFVBfApkydPRlmJ1rKxsaGsV68eFZza2rVr1ekotQGJfzt37uzduzcBEkFFKfoKrUVJnTjt7OxMYG7fvn10dDQp46RJk4jigmSEiqII3377LfpKbhREcUH37t1JOlNTU8k+c3Nzk5OTV6xYwdyRBJQulLt27ZoxY8bAgQNHjBixcOHC5cuXv//++0ePHpUxFaVKYFqwbNkyhBY6H2XVqlUrJJaDg4OTkxN5CKX8HRfHjtxCL/34449VdeaHDx/GyAkKrIJIIYHDz8+vnfFyNn9/f4JIv379Tp48KdZudlMU5Qao0KoaDz744P33329lZdWkSRNra+vmzZvb2dnZ2toitH744Qd1OkptwAjHv1+7dm3z5s19+/aVHzsxUUImdQmZPj4+cs9J27ZtEV0ILaIyWSCxkxFUaCnK9ZDdMkHkOQFxcXGoLEB6paSkkJUmJiby7aZNm5g4TD0pT506NXz48ODgYMRY7969CwsLi4qKBgwY8OSTT16+fNkcV1EqjeHXf3/nnXdQPrh0FxcXNzc3Z2dnV1dX9BXZCKW7uzu+HQFGPSQkZOvWrZVx5gxrqZw9exZzjY+PJzQEGO/RIkygr1BZQUFB8jdFzH716tXG5mjOoygVoEKrCpCDjhgx4t///nezZs2aGi8sbty4sYODgzzkfc2aNep0lFqChEA4efJkcXGx5e/RcgmLSEwdxUXZuXPnnj17EkHJCMkg0VpkgRKbpWQQY0hFuXchuyXFRGhFRUXJq7Q6dOggs4bpExYWhtDav3+/2fr/+/+uXLkyb9685OTk3Nzc7OzsnJycfv36obLGjRs3duxYeTihziylSojNbN68uU+fPkggDw8PBBV4eXkhupBYiC6kF8tx+AgtFNGRI0eqKrTIcx577DFMHbkFiYmJCLbw8HBKzJ5ZwBJGXrBggfygIB0VRbkRKrSqAAnokCFD7rvvPrmchbiysrJCZTVq1MjV1RX3VxmPpig1CTZ57NixMWPGxMfHkxoSlX19fTsZr9iSK1pybyEyjCAaHR1Ns7lz5yLPykO6EUQ1lCrKRx99RK45aNAgBBWyikSTGdSxY0cmFCXqa/z48cwUphtcvXr17bffzsrKSk1NRWLl5+cXFRWhr6jwsW/fvuvWrTOmVznmChSlIrAW8efYEnbYsmVLBFXnzp0xQoQWyH2DCC0gP8nMzDx+/HhVbYz2a9euRWhhtCkpKQwSERERHBxMyRTA8oG1P/vss2yM2UdRlBujQqsKlJSUECbr1auHvmrWrBlaq2nTprizxo0bOzs7//rrr+p3lNoGNkng3L1794QJE3x8fOQ57wTmdu3aUUF6Eafbt2+P1kJ0yZ+4evbsOXXqVCI0fdWkFQUWL17cq1evwYMHMzuio6PJNQMDA7t06RIUFBQfH08yOn/+fJkslFu3bi0sLERQZWRkILcKCgqoDxgwQB5O2K9fP8uzBKSLolQGkUzYzHfffZebm9u2bVu5JaF79+64bm9vb1w6EsvLy4sKWmj16tU0/gdCi3iBsurduzd2zuBEBz5SR2slJyeTBUVGRmLPegesolQGFVpVAO+D82rSpEmjRo3kb1r169dHcZG8Ojo6yo+UZlNFqR1IJkdZUlKCfHJzcyMwkx0SpOWPW3IPIdKLr0SDobvS0tJovGPHDkxarVpRHnvssaioKBJNhBYZZ0hISI8ePVgSHh5OSd75zjvv0Ow340Eyb7zxRlFREeJK7hikjr7Kz89nCaKLDPXRRx+lmSDjK0qFYC3ikKl8//33I0aMQAJ5enr6+PjgtEEUER6eRGXhwoVXrlyRLmb/ykH7kydPYrp9+vShxOZjY2PF+AkcmDoaLykpKT4+fuvWrVUdXFHuQVRoVYGzZ89mZGQ0NZCLWpQNGjSwsbEhSf3www81aiq1jfKwbIBxEndfeeUVoiZhmGDcqVMnhBZyS56HQcBGZXl7e3fp0oWA7e/v379//+3bt0vuKCNQmuMqyt2OMW9MSDrJNZk4pJsJCQlkmXFxcYiubt26sWTgwIGnTp2iGXPk+PHj06dPl8tZ5KnoK/mbVqEBH6m//PLLMq3AXJmiVAKxRqmcOXNm48aNzzzzTHR0NB4ba0QIDRo0aM6cOe+99965c+eub195aI9xPvXUUwxIsBAjJ1jI9VumQHh4OGtkFtCGlrIKtWRFuREqtKrGyJEj7ezskFWIq+bNm6O1GjZsiNZydnZ+9913cTdmO0WplRAXX3rpJT8D9BVQaWe8/t9yaUtuIKQMCQkhU/zoo48kIxTMgRTlbofJQonNX758OSsrKzIyMjg4OCkpiXkRGBhIyTRJTExEgy1YsMCSbq5ataqoqKh3797yB61evXqlpKSwZMCAAdSpFBQU7N27l5bSXtalKFVCjIcSKy0pKdmyZcvWrVt37dp19uxZlshXZtMqIn13796dlpYWHx+fn59PBZXl6+vbsWNHzF7+oxgXF8dXctEMzM6KovwNFVpVAO/z6KOPOhg0bdoUodW4cWMrA3d3d4SWuhulNoN9YsPnz59/4YUXOnToIL9TirLy9/dv2bKlXNSipN6+fXsyS5YnJyfLy1j+ceRWlLoIBi9mv379+qioKFLMgIAAks7Y2NiIiAh5cyvpZkZGxoMPPiiNyXEXL17cr18/VBbaDLmVnp7ODJowYcKgQYOojxo1qm/fvidOnJDxQdalKFVCjAeTEzA8PkopS6iYTauIjHP48OFevXph3phxeHg4lo/WCg4OxuyJC5g0E4GSZrJSs7OiKH9DhVYVwJvMmjULfWVra9uoUSO0Vv369Zs0adKgQQM3N7dly5apu1FqM9inxOCLFy/OnDlTLmQFGfj5+SGuWrdu7Wvg4+Pj7e2N6GJhYGAgqeTu3bvprhau3DuIwQO+HU3Vs2fPHj16SKLJjCAHjYmJKS4uJhN97LHHZGZt3bp16tSpmZmZKSkpqCxS1ezsbBo8/vjjEydOZAntx4wZY7kOwODmyhSlKojlUGJF+PMffvhhxowZ6PkXX3zx66+/Pnjw4LVr16RlVSm3+N9/v3r16kMPPdSxY0csGbOPiIigBLRWbGwsC3NycrD/hQsXqiUrys1RoVUFcCWzZ8+2sbGxtrZu2LAhEqtevXqNGzemdHV11StaSg0j4U0inFTAiHrly6WUln+B5WfPnp0yZYpoLX9/f8QVyqpz587U5Y9b8h9rSmJt8+bNyR1/+eUXy++mDG6OpSh3KcZMKrfzDz74IDQ0FH1Fiil3DMofV1gydOhQ1NQnn3wijVevXp2enp6UlERJJpqamsq3zJ3hw4ePHj26b9++iK45c+bI+Iryj7E44V27do0aNQprtLe3t7W1dXNzw5PHxcU99dRTpaWlYpY4bQvS/SZYumDV7du3x4DDDaKjoymxfMweiVVQUBAfH4+Ry78TKzOyotybqNCqArgShBa+rGnTpggt5BYqS4SWh4fHZ599hnsymypKjUC4pcQyLRKIUsKkIM3+Dm3OnTv3+OOPy3MvyCO7d+9OtPbz80NlEV8RYAgtJyenVq1aUQkKCiJHXLdunawC1NqVuxuLnU+aNEkeg0H+ykRo3bp127ZtkVvMHVLPqKioJUuW0LKsrGzRokWorD4GGRkZcnsVogutRcKam5vLwjVr1pgrUJR/CvZGef78+SFDhuDA5e+1+O0OHTrgwNu1a4c/nzBhws8//yw2XG7KBtL9Jkgbuvz666/IKmy4R48eIcY7i6mwRH50SElJYS4EBwfrswcV5eao0Koab7/9trw4q379+lZWVo0aNaLywAMP4Nq++eYbdTdKTWKxt4sXL65fv/7555+fOXPm/Pnz33///T179khwlQZ/h2/h6tWry5cvj46OJo4SMrt06eLl5dWmTRtiamBgIJHbwcHBw8ODCrGcEJ6QkLB27dorV66I3DLHUpS7ESYIJXaen5+P5SOoEFpMFvlVIjY2NsZ4sxBL3njjDWbEjh07RFbRHvLy8oqKikRioa9yjFcVZ2dn79u3T+eOcouIA1+3bh2CH9nv7e2N38aBdzKeJSt/uMWH9+/fX+yNxpSVMTxL40uXLsmbkSU0IK5EaGHzwHTA/okLJEXGwGrSivLfUaFVBXAlZJlubm4NGjRAX8nbtKSCmyPWqq9RahLsjYhIhoeyIoEjC0w0IKsbOnTo6tWrz58/bzb9MxJH6UgF1TR37tywsDBCabt27dBUxGnyyK5du/IRwwbCNnJLfsUnvs6aNev777+nozmcotyNMEfgzJkzaCTmFIlmampqSkoKJfOFSlJSEpMOcfXdd98xld58803yWj5mZWWhstBa/fr1o9K7d29GoMKsHDRo0LZt2xjWXIei/CMwocuXL0+ZMgWPjRYKCgrq1q0bFdy4r68vCwHRhTU+99xzpaWltBe3b/a/MbQRaP/xxx+X/zHL0FfyE4M8D0O0FoOz0lGjRkl7s7+iKH9GhVbV+Pbbb0k6EVqIK2jYsCFaq1mzZqSh06dPV1+j1CTYG2Jp3759pHcEP/m5PT4+PsYgNzd3xowZu3btkqtPNzHOCxcuvPXWW4RSxJWfn5+LiwtBmor8WcvHxwfz9vLykue/o7soyTVJK69du1bJ4K0odRHMe+nSpbGxsUwrphiZJeIqynihFhWmTEJCQmZm5uHDh5kFTz755MCBAwsKCph6yKrsP15SzEekF1pr3Lhxy5cvZ7rplFFuEUwI347Px0uHhIQge9A8/v7+8j9b5FZAQADLcekEhalTp1qua5n9K8cvv/yC6cqL44gpqCy5ugWoL1mCeV+8eLGqIyvKvYMKrSqAn1q/fr2TkxP6SkBrobJsbGzc3d0ffvhhDZ9KTYK9Xb58+emnnyYQyg30hFvSwcDAQCpkh+SFo0eP3rBhg2gts9ufEaVUVlb28ssvEzWRVfb29s4GmDqGTckSBwcHV1dXFBdLUFzyNKpPP/30JiMrSp0Gw4YXXniBmcW0ItdMTEwknQ0KCpK5RiU9PX348OEyC0aMGNGrVy8ElfxHC6GF6CoqKiosLKQcNmzYZ599Js8bpLG5DkX5R2Byx44dQ9jjtH19fTFFZH/79u1btWqFc0ZfsQSot2vXjuWTJ09GDlXV8EpLS4cOHZpqgPETUFiLrIv1ytvkqMh74cw+iqL8GRVaVQAn9fPPP5Nr1q9fv6mBPAzD0dGRrHT8+PEaPpWahNh26tSpwYMHBwQEREVFycOg5FdMiX8sTEpKmjBhws3/FsI4hG34+OOP6YU9o6wA0dWmTRtsWz56enoSs/38/AjeLCd4s5aNGzeaoyjK3QVTBkaPHo24iouLQzilpKQwy4BEMzw8HOmVmZnZv39/mjGJBg0aRAOkV0JCQm5uLqKrb9++EydOJMdFjE2bNu348eO0lJFlFYryzxCn/frrr2ONXl5euOXu3bt3Mt47j5eWOxEEueX7scceu3Tpktm50ly7dm3mzJmYOvYPGDyKiyjDjJCHJ0VHR7NSeam92UdRlD+jQqsKEB03b96M52po3DFoa2trY2MjQgvGjRun4VOpSbC3w4cPjx07lmgXFhZG8hcREYHK6tChg/wGT4BkSXJy8muvvWYJhH+x0us/Hjp0qLCwEEHVvHlzNzc3Iigx28HBAZVFyRKieKtWrTw8PKi3NF5qvHr1ajV75a4Ew758+TIaiRQzMTGRqSTIdLPcpjt+/HiZXFOnTkWM0T4rK4t5VFBQQFB48sknKVn49ttvX716lTE1JVVuHQwJoXX+/PmHH34YKdWlS5fAwEDcdZs2bdA/8kgMfDVLCAeURIT33nuvqi/XwlYPHjw4cOBAggizIDY2tk+fPtQxfgQesSY4OJi1v/jii2yM2UdRlD+jQqtqrF+/nvyyiQHZp52dHUKrRYsWJKZ6RUupeY4cOUKgTUhIkP9Do7UIfkTZ7t2785EoKHc6DRgwYO/evdinBbP/nyFYzpkzx9nZ2d2ACoIK85a7B8HV1ZUlLi4ujo6ONPDz81u8eLEmjsrdyv79+0krmV+UKSkpyCpSTD5SR3GFh4f7+vq+8847TAF49913J02a9OqrrxYXF5Ob9u/f/5FHHpk8efKgQYMefPDBHTt2MCDNmGU3moCKUkkwIWyJyuuvv+5tvAKxdevW+GRPT0+UFeCcEVpSB/z2tGnTqiq0jFjx++OPPy6/2RFNkpKSpEKIYY2EG8DsZWMURfk7KrSqAB7nyy+/9PLysrW1tba2ltTTxsaGko8jR46kgdlUUWqE0tLSKVOmEPzCwsKIfMitwMBAhBZxF6gHBAQQZRMTE5977jn5y75g9v8zhOFTp04VFhbSl0FQU82bN0doYeGUDg4OKC4WGoZv37JlS1b6/PPP32g0RanTYNibN2/GyLOysmJjYyMjI437p+JIOplxISEhqK8uXbqsW7eOliSaP/74Y2Zm5vjx4/v27TvKYOrUqePGjXvooYc++eQT0VeCuQJF+adgb4BRffvtt/Hx8dik3NGN8qdEZbU1QGuRsRAaiALYYVlZmdm/cmCrBIWFCxfKDw1YO+sKDg5u3769xJqoqKjc3NxBgwbpFS1FuREqtKoAfu3zzz/HkZFxNm7cGLllZ2dHJirZ59ChQ9XXKDWMPMSiX79+RMGeBj169CCsoq9ArnGxhDRx7Nix8qZUzPgmqR5frVy5Mjo6Oicnh46enp7YNjg7O1Oir7B2FxcXPhLCSTpnzpx59epVs7Oi3EUwF7766isSSuZXamoqUykhISExMZF5QQXdxRwhwUVf0ZJpdfToUVJPWubn55N6jh49euTIkQ8//PCGDRvIVmXSSUupK8o/BhMCUg5CwPPPP4+3x1e3bt0alUWJrEJ3ye0MqCPqPj4+jz32WFWFltjq1q1bBwwYUFBQgNyKiIjw9/dnWCRWTEwM1t6rVy/myLZt28w+iqL8GRVaVQCPs3btWnwWGWejRo1sbGysra0p3dzcyD6JrFX1YopyixAIiYLjx4/PysoSTSV3NIUZzx4MDg4u117GE6LS0tIWL14s/xIBs/+fYTQgLwwJCSFyY+q+vr5oKnnkIPpK/qlFLPfy8iJy02D58uV0Mfsryl0E0wShxVRCUGVmZiKx5L5BSqYbSSdZJnJr165dTAGZVs8++yz5aHZ2NlNy1qxZxIudO3eSDVvmCG0spaL8Y8SiDKP7/eDBgyNGjOjcuXM742FFlJ06dWrfvj0SCwkk7ppw8P3331fVV9Me6z137tyQIUNSUlL69OlDfGFwAgpaC5gL8hvf7NmzaS/bA9JdURRQoVU1iJo4ryZNmtjZ2TVr1qx58+ZU7O3tmzZtmpeXp69wVWoSiWcXL158/vnnyf+6Gg8bFJVFRYQWUPH39ycjHD169I4dO24SayUj3LJli/xsj6kTtj08POQSFiC3HB0dW7duTRRnOVH25s8zVJS6y7Vr1+bOnUtmmZaWRhkVFYXBA3MtLi4uIyODOqnn6dOnmQJMHCAEbNq06fPPPz9+/Li8XEhmB6VUFOW2g5mdPXt20aJFyCo0lZubm7u7u/xBC0dNvW3bttjqzz//TEuzT6XBbun1+OOPY/b9+vXLzMyU22iJLKyOSZFqMGzYMMKH2Pk/WIui3MWo0KoCeJAjR46QwlpbW+PLbG1t5TEYTk5O5KC5ubnnz583mypK9SMhjfLDDz8kCgYEBKCOehrvOcFKqV8vtFienZ399ddfl0fCG+R8jAbkiH379mU04jRhmziNtYvWosTmWYIG8/T0JL5eunSJLmZ/RbmLOHToUF5eXnh4eK9evZhQYcY7wUkxk5OTWZienk7GOXToUPSY3BnIRLg+16Q0BzL4y0dFuV0YFvc7gh85FBMTg7fv2rUr4gpHjQ8nHBQVFX3wwQfyDjezT+UQM4Z33nkHqRYREUFYQV+xlsTERIJOSkoK04F6VlZWSUmJNAazv6IoKrSqyoEDB0hbrays7OzskFuoLOSWvfHwazzO3r17zXaKUiMQ0oiFu3btmjhxIrKHXBBBRRZIOCQ1pE5EpGS5vPNnzZo1f08BLchXlN988w2NfX195ZdRHx8fKqgsSnB0dPT29iaWE1wvX76sYVW5K1m5cmVaWhpqKikpiSyzW7duXbp06dSpEyGAKdanTx9m1pQpUyzJKJW/Y46lKNUGZibmd/78+W+//Xbu3LkjRozA/3fv3j0vL2/p0qUnT560mKjZp3JIF0pU3ODBg+W3BvQVYYU6ikuCC8kPM+W7774zVlKO2V9RFBVaVQL3gZTq0KFD06ZNnZyc5HmDCC1AdBF69+3bZzZVlBpBQtpvv/1GKF28eLH8Oz8yMlL+qUUUJBZKhXwRJbZs2bKbxFojRJYPWFZWNnXq1Hbt2rVo0cLZ2Rlrx9TlkRgODg4orpYtWyLAgoODCa5VDd6KUmu5Zjz/mlmAVX/zzTfoKyCzZPogsbp27crMYn6RXDLX+CjPdpe+inJnEe+NDV+8eHGrwblz52ThrTNz5kzUFEEEWUWZmJiI3KKekZHBBGFePPXUU6LKdEYoyvWo0KoCeJCSkpKQkJCGDRu6ubmRd7q6upJ3UrGzs+vRo8eePXvMpopSI2CTQIXYdvz48eLi4m7duhH/yAsJhPHx8UlJSRIIo6KiEF2PPfYYqkz6/lckRlLOnTu3ffv22Dlg54C+Aqzd3Xhbi5eXF+t69dVXNawqdw3MJrFnKggteWtQ9+7dk5OTsXacvCSXTK709HTm1EsvvSQTUFHuOGKKlNXxd6mPPvqIuSBxJDo6mgofSYfi4uKYFz179kSGHTt2TFZt9lEURYVWlcB9XLp0ieS1QYMG5J1y0yCl3EyFx9m9e7fZVFGqHyOSmpEVzp49++yzzxYVFZEdkhpSSjqYmppKXAwLCwsKCpozZ478Zn8jZED44IMPCKgeHh7yPHcsHPiI5SO9vL29W7Zs6e/vv2TJEhVayl0DxswUoIR58+bJ/bfMJmZQcHAwOSVzCtGVnZ1dUFBAfe7cuZYpoyh3HDFgiw1L3fzu1vj111/9/PzQVJ07dyaUEB3k0i6VWIPw8PCXX35ZVmr2URRFhVaVwH2I0HrggQcQV02bNm3cuHHDhg0lDcXdHDx40GyqKNWPEUPNkCa/I5aWlr7yyiv5+fmEQ0Ig2SGpISUfsc+MjIybP+FXRqOkzYYNG7p164aaatu2bZs2bahg56KyMH5Z3qFDBxLNmwyoKHWL8hll2P+RI0eYR0wB9BVTKSoqijLVeGsQ8ygtLY1viQVvvvmmtDf7K8qdw2K9UrFgfn1rnD9/vk+fPkwBzD4lJYXpQAV9FRISguJCZXXv3n3GjBmsXaeDolyPCq2qcerUKXzKfffdZ2Nj06RJE2sD+bGfjPbMmTNmO0WpWcyI+vvvq1atKi4uTk5OlocQYpbEwoSEBILiQw89hAFLGDa73Zjdu3fTCzVFrunv79+lSxcvLy+0loeBj4+PvByzsLDw8OHDZh9FqeMwNeQ3i61bt8YY72NlBoWGhlIyHeT1Wb0NcnNzUVzffvtt+azTn/CVux2MfPr06UQT5kJiYmJgYGBUVBQqi9kRFBTERyLFuHHjaKZCS1GuR4VWFcCDXLt2LT8//1//+pdcy0JrNWrUCK3l7OxM0NX3aCl3EFFQ58+fX7ly5ezZs4cPHy6/OMr99EVFRZ9++qm8sNjscFMw5kceecTX17ddu3aRkZHdu3f39PR0c3Oj9Pb2RmWxHLlFxN2yZYvZR1HqODKJ8PNHjhyRH++zs7MRVxERET179mQqYfC4+pycHOr9+/eXXy7Mzopy9/Lbb78htMLDw5kLYWFhVJBY6Cvq8t8tJkhKSsrZs2d1RijK9ajQqgIE4EuXLhF377vvPsSVlZUVQquBAR8zMzPPnTtnNlWUGkd+iZcgd+bMmf37969YsWLRokXPPvvsSy+9tHXr1rKyMmlmNK8AxqGjh4cHmooIGhAQQB2V5e7ujtBCZQH1hIQE/WuictfADAIqu3btwqWTRCYlJaWlpcXFxTEFAH1FNkkUINGcNm0a0wSki6LcxWDnr7zyCvYPqampTAGEFrOA6SC/RxAmQkJCtm/fTkuzj6IoKrSqyokTJ4i49erVkytazZo1a9q0qY2Njaura0xMzKFDh8x2ilKzSIIoSOYnFbhmvE1V4KM0ll43gTboND8/P/mDFuLKzc3Ny8tLHkLIEpbzMTk5eefOnWYfRanjGLOkfJpMnz5dVJY8/YJUEg/Px9zc3Ly8vMLCQmTY0qVLpTGl2V9Rah+GUZdz/UepWMoKwc537dqVkJDQ34BJgaxijpS/FN94Lb78U2v27NmVHFBR7hFUaFUB3MfZs2eJsigrKwM7O7vmzZvzkYwzKChI36Ol3DVg7cePHx8/fjwSq23btr6+vvLaYkwdoUWlc+fO7dq1I9x+8803Zh9FqeNg9sK0adOwbZQVgkp+xU9LSysoKBg4cGB+fj6JJkveeecdWqrQUmo515uoxWJliVRYIt/eBJqdO3eO6cCk6NevX8+ePRFXpD2oLPRVp06dIiIiEhMTBwwYcPr0abOPoigqtKrK4cOHe/To4eDg4OnpKc/AQGXJ8zBCQkL27t1rtlOUOg5hlfKHH35AX7Vp0wZZ1bp161atWqG4hICAgNDQ0K5du3744YfSRVHqOpak8/HHH09JScnNzU1PT8fOySDJLzMyMpBYeXl5w4YN46tNmzZd30VRaicWE6UCVPgIUpeyMvz222/jx48nFiQkJLRr106ehEFGRKVLly7IrZiYmJycHH38sqJcjwqtqnH8+PG4uLgWLVqQcbq5uVFp3LgxQgu51a1bN31hsXLXIH/l+uWXX/z9/ZFVcqMgFU9PT/kIBFdvb+958+ZJF0W5C5AEdNq0afHx8agpIH1MTk6Oiorq1atXdnb2yJEjH3300ddff72srKw8b610nqoodwSx0itXrhw5cmT9+vXr1q3bsGHD0aNHyWdKSkrkW7PpjZFm8+fPR1yhprKysgYMGJCenp6YmIjuijZeJUKdJVu3bjX7KIqiQqtK4GUuXbpUWFiIskJi2dnZ2draNm3atHnz5k2aNCHv3LFjh9lUUeo4WDsZ58WLFwcOHNi+fXsElZOTU8uWLX18fPz8/Dp16tSuXTtsnvqQIUMuXLhg6SLdFaUugg1T/vbbb1OnTkVT5efnk0QmJSWlpqbGxsb27t2b/HLWrFlMihUrVtDYgnRXlFqC2KQY59WrV9FXL730EtIIpx0QEBAWFoYlFxQUDBs2bP/+/df7ben4d2gDr7/+OuEgLS2tT58+jJBigMTq0qVLt27d5N+Mn3/+uayXXjcaTVHuHVRoVY1r164RYpFY6Ct5sDuKy9HRsXHjxh07dtSnAih3E3JR68EHH/T09CS4uru7+/r6IrGI08RUDB711b17d2aEhGpiKqX0VZS6iJEflr8jYcSIEbm5uWgt+Y8WWkvelDB06FC+IrOU+wYVpXaCGUt57ty5t99+OyYmBl+NHGrVqhX+XF497+Hh0aFDhwULFpDY4Lpx+NLrRvDt2rVr6YKaYi60bds2IiKCeUEZFBTUo0cPhBbL582bJ+FAukhfRblnUaFVBXAZFy5cSExMvP/++xFaVlZWqCyg7uLi4u/vv3nzZrOpotRxsHbh0UcfJTD7+PjI5SzsnJiK0EJxEafDw8MnT55MYkpLgiuY/RWlDiJmfPbs2UGDBvXu3bugoAC5FRYWRjYpZUpKSr9+/YqKivbs2UNjs5ui1D7EmL/44gu8dPv27du0adO6dWvUEXU/Pz93d3dEF5XMzMz3338fPSbtzc5/o9y5/+//XrlyZerUqXFxcVlZWXLHoLytODQ0NDIyMiMjgwDBV4xGYwYEs7+i3Kuo0KoaV69eJcQ2aNAAcdWkSRNclb29PYqLBJS8c/Xq1WY7RanjSIwkWBKniaNYuLe3t5eXV4cOHTB1SoI0MTs+Pn7o0KEkptJeLoIpSh1FzPinn35KS0vLyckZOHAgZVRUFHaOxCKDTE1NHTx48MiRI/ft20dLs5ui1D6wT3TRQw89hL7CY3fs2LFdu3Y4bfx5SEiIs7Nz586dUV+urq6YN36e9qKOzP5/Rr4tKyt7+OGHaS/v7EbChYWFobLQV8QFBFhwcHBMTMz27dtpX+ElMkW5F1ChVTVwW4ReVJaNjU3jxo0dHBxsbW0bNWrk5OSEl/n+++/NdopSx5EASWTdtWtXbGwssdnX15doLb+Mys+iLE9PT4+IiHjvvfdEYqnQUuo0kk3Omzeve/fu2DbKCoffq1cvjByJlZmZ2bt377Fjx06cOPHgwYMyRygFSVJBhlKUOwsGefLkSWSPi4sLHtvit3Hj+HNPT08PDw9vb28cOxps3Lhxp0+fFhs2+/8ZfDvfkgLNmDEDzw89evSQy1lorS5dushfv6Bbt26ffPIJjW8ymqLcO6jQqhoXLlzIyMhoYmBnZ+fs7IzEcnd3x2fhwvSFQsrdx+XLlwsLC4mdPQ26du1KYAYMnmSUKE64HTFihNx5omFVqdOIDc+ZMyc5ORmhlZSU1KdPH4RWZGRkVFRUSkoKH9PS0qZMmXLq1KmzZ89u3779559/3rx5Mxmt/H5PcmmOpSh3DkyRkpwkPDzc8uAi5FDr1q3Fe8vrOlq2bCn/2sLDv/XWWze5BiWqCX755ReZBTj/iIgIlBWBAKnG+Igupknnzp0LCgrkNgedDoqiQqtqXLp0KTU11crKqlmzZg4ODvb29lRsbW3lgWwrV6402ynK3QLB8t133w0ODiYSt2/fnphNQCVOE60RXURWAjmZ6I4dO4worEJLqcNgwBcuXBg5ciTpY2JiIspKnocRHx9PyUd5sHVeXt68efOmTp3at2/f4uLifv36TZw4ccGCBWfOnNEpoNQGUDiopmeeeQblg99GTaG1RFbhunHjCC0vAx/jTYl4+M8+++wm1lvu3A0uX74sD95MSEhgkMjISGaK3F7L1GC+JCUlMdr69etprEJLUVRoVQ08V0FBAULLxsbGzs7O0dHR2tq6YcOGTZo0wWF9+umnZjtFuYv48ccfAwICOnbs2OkP5KfQoKCg7t279+jRA8X10UcfSRg2+yhKHQQDPnToENoJQSVXtJKTk9PS0qgD6qt3794xMTEsF3013GDIkCEDBgwg9VyyZIk5kKLcUbBkRM4333yTkpIi/87y8/NDYsljjRBI8rdbluDMUWLh4eFffvnlTXSR4d3N+2O/+OKL6OhogkLbtm3RVMyLuLg4VpT5B2iwDRs2SGOzv6Lcq6jQqhp4jcGDB99///3oq2bNmiG0nJycnJ2d7e3t8Tj4KbOdotQ+yuOkEfYspVRuDm127twp4opgDMgq+X2UOhlnamoqYXXFihXSWHopSl2E1HDjxo19+vRBOGUZrwnCwiMiIqhj7dh5RkYG6Smp5KhRo2gzbty4CRMmjBgxAq2F9GLh0aNHzbEU5c6BK8aY5SGB3bt3Rw7J8zDQVAgtLy8vzBithQCj7uDgwEf5Y5XZ/6b88ssvISEhCC2mRmFhYXp6enJyMlND5gt1ZtCSJUtuciOiotw7qNCqAuIyCKgILVRWo0aN0Fd+fn49evTo1q0bjuzDDz+UlopSC5HQS3l9Bcyvb8yePXtiYmII0vHx8aSb8shBueGEhaGhoUFBQdOmTSsrKyOymn0UpQ7CdHjttddIIskU8/PzU1NTSRxJH3NzcynJKUkiW7dunZ2dXWSAskJlDR8+nJL6mDFj9G2KSm1AfDts2LAB08VLd+7cGZVFokKJ327bti3iCtHl4uLCkgcffLCkpKSSDpyWgwcPZi7k5eVRkYu9hAbCBLlQQkJCWlpabGzsX16FrCj3Jiq0qgZeY9CgQfXr10doWVlZOTs7Ozg4UHp4eHTt2nX58uVmO0Wpfcjvi0BdKiBf3QTaEFZJOrt06RIXF0fADgwM7NSpEyrL19fX3d1dHl1F6imP9DW7KUodBAN+6qmnIiIi+vfvj82jsuLj4xMTE8kdc3JykFtkq0FBQUOGDEFcTZw4cfz48ePGjRs7duyUKVOmT5+O1vrkk0/MsRTlzoElk64Abn/FihW9evWSJ7DLowJx4yiidu3aIbSw7S+++OLKlSvXB4ibwJi0mTRpEkKLvgwlY1IityizsrKYLAi5VatWVTiaotz1qNCqGniNCRMmiL5q3rw5pby5GN1FAMZbme0UpfZx9uzZtWvXfv311wcPHrx27RrGTMg0v7sxNDt58mRmZiZBWp462L17d8IqQVru8gdidlFR0XPPPXf+/Hmzm6LUQbB2JFNMTExxcTH5YlxcHNkkH8PDw9PT0zF7slV019ChQ0k0iQUDBw5EXPERlfXII4+MGDFixowZ5liKckcRRYR8unr16vfff5+SkoLTxoADjfdoZWRkYLcTJ07csGED4UAaC2b/GyBtsH/cPrIqODg4IiIiMjIyKSmJANGnT59hw4YhtPh2wYIFFY6mKHc9KrSqAJ4IfzRgwAB7e3sbGxv5g1aTJk1atGjh6upKGqq/ZSq1DeIcdkus3bx586OPPkoUJH0kHXz33XcvXLggQos2NJD6f+XixYuEVSQWiSYloVoeE9yqVasOHTqwhEyUsD127NgTJ06YfRSlDsJEGD16NPacn5+fnZ2dkJCA1ooyYCGmHhAQEB8fL5ezMPgxY8YgtMgsKR9++OEnnnhi/vz55liKUjuQELBly5aHHnooNTUVXRQaGjp58uQdO3b8g4ew0xhWr17dq1cvxFtaWhqV6OhohuVjcXFx7969CQcsGTx4MBrP7KYo9yoqtKoA/ujSpUs4kUaNGjVu3NjOzk6EljwVw83NjShrNlWU2gFGC2vXriURJHdEaPXt25eS6Pj888+fPHmSkEkDwjCl2efPGAP8/thjj7Vv315+DQXSTbQWKqtbt24hISHkoJGRkf369du9e7fZTVHqIMePH0doDRgwAH2FyiJxlMtZZI0YvIeHB2VOTs7IkSMHGqC1xo8fL08dHDduHH1ffPFFcyxFqR2ID8fJI6t++OGHTz/99IMPPpA/UInnB7Np5aDj+fPnSXjkZ4j09HSmSXBwsMyarl27UkqUKSkpMfsoyr2KCq0qICkpYbVBgwb29vZNmzZt3rw5Qsva2trGxgbRNXnyZLOpotQOMNrTp08/8sgjGRkZhYWFRD4q2dnZ5Ih8nDRp0rZt2yTQgtnnb/DVihUrwsLCgoznuZNrdjQe9Y7uio2NjY+P5yvKpKSkzz77zOyjKHWQTZs2ZWZm9uvXT/55gnlj29CzZ0+M39vbm+UitBBXRUVFgwcPHjRoEB/HjBkzdOhQOurbFJXahqQu15cgEouPssRsWjmk4+eff56YmIjbj4yMZKYwX7oZTwVDaKG+mCAIsAMHDph9FOVeRYVW1cC/zJgxo3HjxkgsKysr+YOWs7NzixYtXFxc3nrrLbOdotQOsNiff/6ZLJB0EGVFakhl2LBhLJk4cSIJ4uOPP37mzJmbxFqJqXv37qVvYGBg27Zt/fz8OnTogNwS0RUeHi5/g0Zr6d8UlboIRi58+OGHaKrc3NyMjAwySHn7anR0NKkkSSQGHxISkpCQMGDAAOYOsqpv375MqFGjRk2ePHngwIHjxo27ePGiOaii1A7Eti0VkLrxZTnX1yuExog0gsL69etzcnKYAoSAvLw8pkybNm0kIiC0mB0RERHr1q0rX5+B2V+pHq4/yH852nzkfJkflBpHhVYVwFLhoYceQlxZW1sjtxBatra2Dg4OCC0fHx996qBS28DDrl27lpiXbkBcJImU6MhC8kgCpLyn8i+u2YIsP3bsGNlk165d2xu0a9euY8eOpJ7oLn9/f3k8RkpKCuuSXopSh8DIyR2vXbv2yCOPoKOYFzExMXL7U2JiIolj586dAwMDMXVyR+bOlClTJkyYwNwBRNf48ePpSGXFihVMJXNQRblLkXhx5MiRoUOH9u/fPy4uLisrC6EVEhISGhoqf2js1asXyxcvXkx7Gt8kxCi3F46zBT7KkRekgVLDqNCqAmKmxFd5zKBc13J2drazs2vSpIm3t/cbb7whLRWlloCT3bhxY+/evZMM0tLSkpOTY2NjKdFF8fHxlPPnz798+fKNvLDhn38vKyt76KGH0FdoKvldn+wzzLiZUJ6NITfo631TSl1EbqMqKSkhWYyOjiZT7NatG3OEZDE1NRVTl18TOnToIM9Vmzhx4ujRo/Pz8wcPHjxy5EiE1qRJk8aNG3fs2DGGMgdVlLsUyd0pMXumTG5ubmJiYkREhAgtAgGxJi8vb9iwYdOmTTMCiKb4NYHlUEvFcpqkAtJMqWFUaFUN7HXOnDkNGjSQZ2Agsezt7R0dHVFcvr6+77//vtlOUWoNe/bsIV8kdyT+EQ4RVzExMenp6dnZ2ZkGI0aM+Oijj65cuWJ2+BvioJcuXRoQECAPXiMNlTvyEVpySxWii3yUcaSLotQhsHB8+8mTJwsKChISEtBaTJaUlJTevXsjtDD41q1b4+HbtWuHkTN90GDyXJkBAwb0799/yJAhY8aMWbZsmZHMaDaj3M2IkQvz589ngqCpkFvyD160VmBgINEBrVVcXDx8+HCaaaJfA1iOMOXVq1dLSkqI6SAPfpS7PY2GSk2jQqtqYKnvvvsuKksuaiG0rK2tbW1tEVpE4jVr1pjtFKV2gM9FaJELisQiHFKJjIwkUyRNJFlkCQnl0KFDDx48aPb5M4b3Lo+Uu3fvZgTsvHPnzqSeBFRo3749HyMiItLS0oisL7zwgjSWXuYQilKLEVvFaH/99dfs7GyZI4BJI7q6deuGhXt5ebm7u/v5+ZFWor569eqVn5/fr1+/oqIiJheVSZMmWZ7haY6rKHcjMl8Aa//888+ZAtg/M4KwQlzo2bMnFSYOE2TAgAEFBQVlZWXS3uyv3G7k8HI6pH769On33nsPj/Twww8/9NBD06dPX7JkyVdffcVyvpU24qksXcpHUaoNFVpVAHP87bffFi1ahLJCX8lT3S1aq1WrViq0lNoGnrS0tPTxxx8vLi4mcQQySLm1Qz5K4jhy5Mjvv//e7PNnLE6ZcTIzM0k3/f39g4ODCaiUpJ4QFBQUGxtLSopnv96DK0rtB3MFfDtZY3R0dEpKSlRUFMlieHh4+/btW7Zs2aFDh44dO1Lv2rUrMkz0Vd++fZFYw4YNGz9+/PDhwx988EFGAIYyx1WUuxqc/KFDh5gFWVlZKCtmjfzilpOTg76Sh8TwVUlJCS01IlQT4r4E/M/WrVsHDx5MLG7btq2bm5uPj4+XlxfZKY7rqaee2rdvn/gowRxCqWZUaFUBMc1Zs2Y1N0BfORvIrYOenp6rV682mypK7UCM9ptvviEdRFOJuEJlWeRWenp6fHw8cXHu3LlmHwN6mTUjoFLioCdNmtSuXTuceGBg4P/P3l2H61Ul66I/98g9d5+zW4AggYS4e7Li7u7u7oaEBAlujdO4uzUOjTfauLtLgAAJlkAChCTsfu5vzfqYe+3Qtmggssb7x3hqjlmjxphz1qiq99P4Gd+2bdsqQOMbLM2aNTvqqKM2btwYk8bYhIQtHzycx1555ZXxwVolo62BaLVp04ZXN23aVMvz+bmCctq0abhW/KKManKfffbRY/swkohWQpkCbz/uuOPsF5ulV69eUsy4cePsHQKKhYPJLI8//ji1RLR+Jri3EPKKFSv23HNPtKpq1arVq1evWbOmAlVbuXJlvKtHjx7z589/+umnV61a9c0338RDyccm/HxIRKsUCI8UVnhtpUqVkCuuHN/Rcsi5058IJWxpEEnhq6++uvDCC9WF8WH6QYMGIVojM+TU668SLWNLvgB29dVXt2rVqm/fvr17927RogW6BapPh2ibXGuKd999t6CdInjCVgJ+zl1PPfVUBSIqNWLEiDFjxtgmTZo0qVevXp06dWrVqtWgQYPOnTvbLFjW7NmzbaX43KDKBtd68803w0hy+4SyA96OR8kjdo34Hx+7HThwILqlp3v37noOPPDADRs2FOehxLV+NngQbvL555/fvn178Qq5atiwoailNMW1ateuHUK3bt1wrenTp6tj0a0sXKV49bMjEa1SgEeKFEcffTRyxWU5LodGunbZZZeKFSs2bdr0+uuvD53Me//TffPDTQT4+51A/iHyU7mQQljCX0V4CLzwwgvxh8U4lRQoHWrj5zGkyfHjx3Psb7/9tqD9vePxq5JE6+mnn5ZE8288xyuX/fr169q1a48ePfTrvO+++/J5w0hCwpYP7nrBBRfEy/BIFD9v0aJFtWrVlCy4lvDevHlznfMy4FozMxDoH3vssfkbuVCwmJCwlaDguH/5yxdffPHJJ5+I+VHGEEqehU0qDT2vvvpq3759bQ1ZgDBgwICJEydOnjxZfnEYXwP+8MMP05u9PxPioaxfv/7WW29duHBhfKEUs1KjVq9ePb7YUqFCBbI4JqBB1apVO3fufNJJJ73xxhtfffXVN998UzLL5yhMkPAvIxGt0oFDn3XWWfEu1o477sibue+uGfTMmTPnwQcfXLlyJR+NUAXkaKOTkegJg+RoQygpx6jo3AQlFXLjEGcTEnLwCh4SeOihh+S/eNERsKz47UF8ady4cUpGKTMPuIXx/xUfffTRlClT2mfAqVgYMmRI/knCjh07tmnT5v7771d0mu5vGUlI2NLAV3nsjTfeOHv2bBtkxIgR3bt3b9CgQZ06dVCsli1bFhUVtWrVatCgQfGT7vEdrfgZAHvqzDPPLBhKSNgKkYX8vyxbtuyggw7i/Mccc4wq/JxzzrnlllskhdWrV8frCPZIKMco0CNlzJs3TyqJDxCOHDlSQoH4k0aCHPHwww/H2ISfHG4sYMgHHHBA7969pWbBqlaGhhnwK6RL1Vq+fPmddtoJ6UK9YPfdd5e1Z8yYccghh5x99tmvvfZanv3DZmGChH8ZiWiVAuGC1157beXKlbnsDjvssPPOO/PamjVrVqpUSQ/epeIUXE477bSjjz76uOOOu/XWW7nvl19+Gb4bFkoKP+yEcPeYMabeBJlWASUP42xCQg5+xZ3Cu959990jjjhC/huVgbBw4UJVI+6kXtxnn30Ea0NCP4ZvghUrVlBu0aKF0lMl2rNnz/h2Vrt27dAtPfDII48Y/rcsJCRsaciD58UXX4xHDcx+vT0+N6hMadasGaFRo0aIllJSQRnkSpwnTJgwQaseDVMJCVsjIjuo1FGmSAcTJ04cPXo09x43btycOXPy71lle+U/K43olERsh/HZPxTHtxxtH8MdEnCtww47LK9qEn5auP/u7apVq9Bj+bdatWpBq7RKU2xKabrLLrtoFavaXXfdtX79+s7utttuzqJelEHtetZZZ+HV69atw6sL1hN+CiSiVQpETLn++uv5aLly5X7729/umAHd4qwE1AsI22233b//+7//5je/odmrV6+lS5deeumlDz300Ntvvy2c2RKrV69etmzZyy+//Nxzzz355JOvv/46PvbnP/9Zwn7llVe+/vrr/ENchbn/K+LU+vXr2Yn4FSicTkj4HnlqJHz22WeIlgyKYo0cOVI1OTb7bXcJEu868cQTQy3awvj/Cm653377YVZ9+vTp1q2bhKr0jFfREC2dMuuNN96YT1oYlpCwBSO8XSBduHChylKlaEfYF3Xr1s1/tquoqKhjx45Dhw6dOnXqjBkzFKPz58/X2k32lOokTCUkbI2wBeJLvMcddxx/XrRokb2AdC3OgEQdeOCBK1asoBabJUcki/POO89+sReGDRtmB6FYY8aMsYkcDhgwwPDJkyfLPoUxCT8pogJUQ6K7jRs3Vn9WrFgRocK4CMgVQhU1qjaIlh4gxGey4v+KDGzevHnr1q333Xffjz76KKXvnxCJaJUOnA9l4pecEo8KZgV4lx7OSsaytt9+e4dYVnyJi8CboU2bNvFHfkKSOrVJkyZNmzatWbOmXN6iRQuub2OoYp2dPXv2XnvtJer97ne/O+aYY84///xrr732ggsuOOWUUy677LKLL75YWbz//vvL+nPmzDnkkEN+//vfn3nmmSeddNJpp51G+dxzz6VJ5+GHH37nnXfe+B4vvvgiavfss89qFQcvfQ+nPvzww48zfPDBB++//76dpgcIIixG98knn7z11ls0GaSADcYnxPC9DRs2kHPoAUX5N99841TE4sK57+HsV199RU2YcEhz7dq1K1euNPunn34axo3V7xA7NbtOHFW8/uKLL5yKgWGcDGQ90R+IU9r8VH6YjyLkiPUQtOQQtPRjSEn5h214SLS5UOw3379NlB9m54tB1g8UoNBbYmwcQgwPhJzrlzwVKJ7jvy4D6HuUf/zjH88555yDDjpIvQiyoAAtU37++ee58iZt2I/DG264AZuK97KQKyyrb9++3bt379GjB6KlSN1nn33i07P5KALE8EBJGeJsqBW6/hro5ANLam7SmZkpnI1TeX/WVwz9JQ83QW4wVytpcJOBoRz92jj8IfL+TYb/rcOwVrInR8mekj4DTm2iv8l64jBvSyqHrDPOOtzEOMSpTVCys3j6723mdnKFEDY53AT58JKguQkKJ/4GSq4hEIeBTQ6Bvv0+NsOIESPUiCpFMblKlSroVhCttm3bDho0SMidO3cuiqUqpSxKP/jggwUrfw0xe0LClgbOmW+Tt99+W9yeP3/+nnvuqc6ePn36uHHj7AJcyyFgShdddFGk1ML47yFKPP3005KI4UYBfqW1R/r160dgDQ1TORQGJPykiCf4zDPPCEetWrVSc4payk4US6UaRIuQvx+AaylTyapWBSdlCpUqVSLHZ7V+9atfSetnnXXWLbfcovyLLOC5E8Jhwgdy58nXkC0n4a8gEa3SgW8df/zx//f//l/+ilDFiwRa0MNxITqBywYlw7t4tvbXv/41esaPf/vb3zokx2sJ2l133TVebNA6yw61GB4vS9gJ8cMbTsVc+FvLli3xt/j9w9hOsWFYtn/q1aunSlAQN2/evEGDBg0bNrQJa9eurdOhMkI/pkdu1qyZQlkBDQR1c/8M8bMH6umBAwdqgxDGz3nH13uUHaMz2ORiMYqojc8baIVX0VbsFq8V9GSdFETe/Hvk8fIwa+obJbti3VwOWYjXldX0HTt2HDBggB5jQf+CBQtOPvlkxDI+Si4onHrqqfFq3FFHHbX33nuL+xR0Yp4XXnjh2WefjbJSJujRDyeccAIdjBRNPf3004899ljrsVQ6zjLClCESDHZx/fXXX3755VdeeeXNN99Mvu6663TqoYzWosGi0j333IPZPp6BcPfdd99+++233XabIddk0P/EE0888sgjhOeff/6VV155+eWX0VfcFZNEdYLcorVYJZK5bt26NWvWvPfee7IUtRdeeOH1DHgy3HfffSw8+eSTjz76KINCLR1cVMmoDdYqg+rEVJnV8+abb9J3vdj7kUceeeihhx588MGu0arMYg2G0BReLWn58uUx5KmnnnI5Dz300F133YW98wT+/G//9m9clB+Gt3M/jtSkSRMudO+99zJi/a7CRbkcLDo+kKBFsB3GWadAJzlgDYg0HXIMQaoJLiqIN2DpZG2E/pxChxAJgEBHDxB0Rn9J2NHaOAU0C9L3iSSsac0ek4bBGB6gkLdxlloMgTiMFhgJ5XydgU0O/yFy5fwS4jBQHKr+K4kqieg3ozY0886Scn4Y+KFMLR8VQtiMfiDHocsveRhy3lPSMkR/2AyDJVE8OEPhONMMbCIDtVz++6Bpp8THnOKVeGGHM4ur8b6WyNk++xMt1WSELLFOHBMoOHNMFChY/B6F3oSELQzFuygDL5VBZs+evf/++0vK3FtCl3klXGmak0uL+smygy1ZGP89DH/ttdciuds+ygYZ3HBt165djbJTpHXpMm2HnwPuqoco40vlnTp1qlWrVs3s99zFLkWg1KxczItS/Y0bN65fv358aFCPohGqVq2qblR8UjAqTqkY1V1KI8WGNB2uEjP+VcR6En6IRLRKAZ7E1VSo/+f//B+OGHSIoOgMV9bGSwXATZ2NQ7IyNF5aQKUcBncic3durY1+rVMOacZWkeDtimrVqhEAuZL17SWn4mMt8f0Bcv7PCQbaMBiXHlwLL6IQNCxmDM4W+4pNOkapJ6KkILNvLIFCrNPY/LpihaCfKZNqwdri88Fah3G92jCix2Hs5LBpw9OMlZirqKjISswbF6tlGZw11l2KxVubgt5SnXLIplNGAYFy3G2HNE1EU7hn3ylXZ1RYi6m1oIc+TUPi7UenGDFEPyPaGEvB4yADmYI1OEs/LjAUrJCCWYDBOMWOZTgbU3go8fWPNm3atG3btnXr1mo7sFppCb/t1asX0kKOX56g5v5oWfA42ARyXLIe9k3arVs3aRJbDq+wgFgShP9YGzjrkIW4UbEwrDt8wFk64izn0c+T/7//7//D3vk8l3b46wxk0O+sTaH9v//3/zLVrl07LT7mKpjyoPFzVayki05j75hz7969qTGO7bvqYPWtWrUyqVsBrhrfXrx4Mc4s2asDDFfpSv/oPfZ+4IEHnnnmmVdccYUWW8aTMUZZAZFGgLHfMzIcffTRzmK5aDCieOutt6K+Whz4xhtvJNx5550EdQC6jlRfcMEFl1xyiX646qqrUGtceuHChQcddJCJGGeNfWdvuukmlJs1Y7V33HEHBcuwMFFin332mTNnzpIlSw477DCdQDjkkENQdGbN+Nhjjz399NNILJLMmrUh0suWLUOY77//fi2u6xA+++wz9BL5DF4qp2KeBNzgxRdfxJDjnV4cFS3H7iijylqU1SnlEcvvv/8+2vzpp5/qDI6qLeaF35NAILMM+SmI/EqgELKxoRxCMGfE2CEFh/H+c64cOTgOo42eCKqgMxCHgVCAkoe5HEJJbNKZqRf35EIub4Lof/fdd0dlf949dOjQIUOG9OvXj9NyY7ApbBZ7kOPttddenMGTVX2SX3nllU1WnhvMDxMStkCEc4brXnrppfPnz49gi2hNmjTJRojtgEHF52smT54sLv3QpVkQbewXsd0Gwa/QLbLkJciL4dOmTRO0WRCaCmMSfjoUR5kszMom8qOMrxDVRmGj8FB0KQ9AnUBWA8jI6hZ53GHUSw4VEoSsrCiuCkIfyMoA7vHggw/KKTFduE1hBSnW/SMkolUKhDOppVSTKMd2223HU/l0CKDodAjOavUEMwmX1ZN5e+E93JylyOL8u9ijv2cI4fdApqPkpSbfE7RSviE2ElPsaLM5d4ytkts3+/bbbx9Mwyj9yAAdxllTTLOsM8oI1a29F50UYpeaPSr1aJ0y3LJDZiSWF2xExYwGAEHhbojWjHZ1FPqK+NA33Fht8RVma2bTOmlGaCDHbXGlLDiMqV0XWQ87DsWIGEjNFGGKZqyfheAPVqJgcoEMGmhUGKEJhpBj3rDgkNnseZajyZSLcueNpeZs6NOMs3H/rY2+286+Q50OOQaXIFsSiuKsQwNDP2KcnhB0uhC0hH2HxrJP2VgWyFaotbaw4+HyQ/Tm3zOEjOqQ6TPC4K9+9at/+7d/04MUWQBQ04Ma6aT8v/7X//pv/+2/EXSGhf/3//1//+f//J8sWFWMYsd0rtQNtADzxrIJYJ1xOQR2gHGHrIVZUzD7//w//89//+//nWWdToVlgmVYZBxS/t//+3/HtRhliLXB//gf/8OhU/pZsEKHprBClt0iM9Jh2S2yJJoU4n3jWEZMavGuK2QDaVJwIe6nBcQ9cXtjSW6gO++iHGrZNJY7mVQPxFWz4Kzh+jmwHnaAsjVYlQWD6UzEOAVuZiWc0/00Bf+09VyFxfNS5BPJtF94AgoabzvjqzLoyJEjB2TABJQvqGn8zCNqHW8FK2ucUg+pcrB0FRId/RisKTp06KDToZIIZcUAtftlwAkXLVqkxiIvWLCABaXVEUccEfwQWT3vvPNOOOEEDBMXRWXRyMMPP1wP4YADDth7770x4VmzZlG4+uqrly5dSmZQ9XbvvfeilCgoQvjqq6++9dZbr7/+OmaYv3365ptvqtLwtM8zoGcYY3x4GN+T1wnOBpeL9zl1Rr82+J5WDZdTRIdB+YRrsk6HArgeAn069MkB/YDZul3g/riNbqbywjOCJk2aoP3uKoqF4btRbp3KA7tmP4azwzKzjFsYOfJF5I6EhC0NnJPThpeqoTk297ZzhZogWpgSgiQg8HYMSqc4EPoFE9+/LcbnxYEhQ4aIS4MGDbJ94qMoNhG2hneJReiWXV8YlvCTIp6CmHPJJZcgugK+VCJlSzSR9eQdaQ6kLSDokZIii0Vn6NCXjFQvka3kNYI8JW0JgwcddNDNN9/8yiuvrFix4ssvv4wIHC4BhdUk/ACJaJUCPIk3K1AUUjxSocYdo+LUgsNAOG5JFPt4Bk7Pawk8WDHHrQl6wpWjCOPZ1IAQZ8Pj7RwlvnJcG9sg+iFkQ+KQYIroNLvW8mLSODS1uewocIo+ZqLUo6AnlkHHjLGY2Gw6IYRssYU34qJHG2YJMSRkLTsqSzqU87FOmc7t0lI2r+vSH0YMUdfqtCqIxVgkHRb0G2XlLoeduDQCTaOCULHpkCkPiFquEPMaEk8wnlcYoWws+2T9rsK8RUVFwhYFBvWb1FUAOQTD49LiJmsV31GCRxWux1wUYi4tF4pOCgTroc8+QWesxDXGggl6gjXhCUGHlP5ahyGAgl5xr83rewJ6oxO1APSAHITHqSAkmAxK4zBOBSi7dothP67C7EEw9FuMfouJS3BFLo2y1ik9rs4i2QnjQGY/FulQv9nZ1OlQv0OnYj3FS/+f/zPGGmhtYGr6ce366cca3EydQdVMHUuyAG2UyNzGWffT7XXWauMRuLfhpWHBJetxSk94l2sB/c7GXGSWWbMSgiXpMW+szV2KUyGAs0a5KMPDTowKHXM5jInIFuMGhhuQLdWhJeUCnbhACrzCITgV+uSwQKATnpYLWggFrUlBD7+1oViL7cnV3TRzcXudtpvdFDEHjdRpLLiZTrmx4aL6Y2PGnrWDdBpuCINIYxipV69efCZZKda2bVsUEXtp1aoVbqkyaNasGVaJCsabmcOGDaOpVsMPaVJwCpQRyrjs08qjx48fP2fOHC0ZC8I2DUFEJ0yYoC5EhPbaay+Vn8JRsYgNqhdpqvwsQIscqh3j08KLFy9mHLkFt8LKYwM2yD4N6+rwYbS2R48enTt3tvh4G1ZhyqaWfYWpNag1LYCaKaxhxowZSOz++++PgiKohxxyyKGHHnr00Ufvu+++hx122FFHHYXZOks++OCDcdprr7329ttvv+uuu+Ijx3/4wx+uuuqqeOP0nHPOoaCQuuiii/Qrd67M4NQtt9yCyhp15513PvLII88999zzzz//0ksvaR944AF27rnnnscee+zxxx9/6qmn8MkXXniB8OSTTz788MN/+tOfnKUWZ++77z524ou7FCg/++yz9JVWKDFBP6r8WoYQzEITkX733Xfff/99ahj1O++8gz/jzB9//PGHH36oLFu1ahU5zr788ssGErTxhi3aHEV/lIzBnPMaLjoVdqbAxhWUDrUodJR6hgdzDn2gIGUH9c37dW7ShhDJPVCyv2QbzJkQPZsg7/yhkCN6tCVPlZQhX0n0b3I2x9+xENDpqjcxQsjlHNHjBp599tnxdhZyZfdx4Niqtk+8u6UfGfPQYyDE2Mzqf/AiO3H27NnomS1gM2JZdkSY0sParbfeGsqQD8wsFaOkDHGoLfl0ArnmXxV+2Pl3EDrZoE2Vc4eMw8AP1f4OrDwzXBgSQn5YEj88Rc4PS8qwySHkPV999ZVQcMQRRwiYIrwIFnFMbI/QrTOEgHQQGQGkIXIo5GpyR8iyDCOiumAuUHugYimXwJ9Fs8suu0wAeeKJJ55++mkB4dFHH73hhhtElU8//TRfnrtRZpGIVinAY9auXSsYKZLUKIoYXghR/URNE0IgDrV0spqtuASPQ74bjgsO1SX2Azn379gADsP79cQoFb8E37JlS/32j1Ps6A9lbcxFP29NGkacogwh63ch5o0aLvrzgeBU6FsY2R4zBU1qMYROrBD06M9XEpcDDoERPRYcQ/TrIbgb0RMtOMVUTKq4Uego0VigGbfO3dY6GwbVdhZmCLWoDgMM6oS4S3FIDpDj6ggmtf6Y3aFJVYrmohA2tXEhFKKN2bMRxc8RCGGKzJp7G+uMBQfpik5nLSY8Ia4rHgRQVnlDjNWjTHdIh6xSxy6iXo/yXauCD5YCevATnCQnJzr1GKKyj/4AmTJkWv8DpYnOkLXBZCzPXGHTLBgC8mAxBAqmtnKXExfihrgDVu7Q9cZqDQyKQj+IU8B0sdro1Ab0h0LhuASYMqRwkIGaiVwa+zGQwRBoWqrHxBO0VhL0RutOWq27Wnz9/+t/uQSjLDKeoOtl01k2XbJJ4xLiWljwXOLmO0vQA6Gp01WD4WbRHwOpQS6bgo5DLR3r5DNcgmWrtUK3lAfG03eWcafAwpxlXKufANYf/fTDCMFTCAdzyiG16NRC+JtWj5vD4cPVDUdyCG6FBZT0ambphGODHcQ4xFaijIlBsCxbhjKzGEvwFrPYp1pTsGYg4yaKTcQCJkMOPkNgNky5IWFc3EN4unbtiuFgQdig4UGktaFvCsoxr0NtLI+ROKUHDA9a6KxDgoVZJ1NxVmsU8BOXHE/HkMaNG5sLGId4n5xlamDZQFNrLIF9t4ICwRSuNC7HIYHB6NcDMZdRWppxx6ixYD0OXZf7EAs20CxhXEstu/11LNX6ZQd3yb3CDK3QpTm07PhYgR4tO8ZSZg3CGsF1YbzILR0DceO4J8YaSI3gRum3fjPG3XC9ZLNoHVqeKyKj2eEA2Gm/fv0QZryaZRO5e7GMWLDVqshRU3VbfEdOvY5RK9zxWIU+AoCl06c5cuRIp+io5hXxBCSZfZQAeWZkSvalX4Wgs5i5cp8djJqdJUuW/P73v1caoui4dxDdww8//JhjjkFl0dpTTz116dKlKDFifO655x5//PG/+93vjDLjAQcccNZZZx133HE6L7300qszoNAIc3yRieV4p1ehibUivXgp3qv6xFcRy7fffvuDDz7AWu+9994gxmpT9egf//hHzBmCaQNO8uCDDz700EMssOOQTQSVvoUdeeSRF1xwwYUXXmg9JlXmYuNmiXeM8WGWzz//fITcMoo58WuvobirV69GVtW+eO8nn3zyRgb6gO6yoHpWXbjP3bp14wMen2fqkbVt21YrF7dv3/7ggw9GoVkwavny5S7nvffeYxkn9+w8kdihnns8fW4A4QbqcndjzZo1UXxjd2izsZi2ygphtjzGsXRX7XZ9m33COWeMUYMBdk0zKDSybWzU8ciwNvRjCAu4R7zJbF6jTGfe4PB0DDcqWDRksxWGM2WUtYUmEGIN+UpCLU5lKsUgG/jFF1+YzkRhX7959cQnt+Oq3T0PgrKz8W58DC+28r2Qz2hh0aMNGfLZIT/FDWbNmmWruvOeGrj59rt9KrxEnBFktBG7ohPiMOAwFESVCGiiUEQbscjGJ0ds1NryNrWnLCyYiA+IErzo0EMP/fDDD/Pba7VlE4lolQ7CnFDCR1UbUWpAlDXRo3UIShmHnFWNkvlwMcjG8suS0COBcV/OCnyaQ+egoOXukbo4sf0jS8VZAyk4G6Mye8UGeb/pYg84BezHqRhlIm2W4gvfxYpRQMEsuTVjtbaW7WoX0WeKguGUwzhliGWwTIGanlhDnNJPCIPZPMUVSfQE4lr0OEU5lipYq29Ys42Fb0KcohzzFk+flUQxr4VphQA6euJCcmsEFtiJswbGSoAFz4u+CGIup+hYj9bZmCh04oHGsw6ZAkEPePQl69rQyUri4ndC4pQeFXAcKpFBwR0KQI4erVpcG0V5gBzFehTuSII2Cn3cA81wGD3kvDUkNJk1ddAnxIARbZAWyPhLMaUxKvS1ZD3Okg23eEuiFoesxVXkF+jCdVpqXEusmREW2AmDgZhuE9CJ6QrHJZAPibNaF6LTJVhAOI+5DHfWvM4SHGaz/XeHroiy5cWFRz/Bsj1Eq42LYi003ToCxIxsOqvfcIhThlAzJB5K3ApeoXWYPdJfe+gOKRiuk0CNTGDTHeM5hnBdztmuXTsb3H2OsZB7iyGE3OW0Ac7J53kvrw4h91UwuyE8OQaGS4NTBsZGpu+QHIJ+N1N/uDTB9ldexyizxN1mCizbYb6h+LyJLENPlN1s6rQMZ51iUA9lY12afsoOWY7Zw3iMItuzWmszUVigzCydWINOLeVYTL4kswcTsHjBk6DgiFBmj4tm7rZ7RVAZiDMEtYLOuHwLc/lxsdbg8lljx9g4RBWoeSiuyKRW7hlZtrOitIloGkKTjKjEMsyi30QODXcY39V0aGqnYpRDnUiIWRzSt0JGyNZjVWzqBIJOIAiY2LLKuFOnTmplZ+MaQ98dcGlmNK/7aSJrY5PgLB0PIvwhbhRYMOU4jGdKpk8mxCEds7vn7pjLd9N4NQ936Obkj1U/y/E0DfS8ODMdD1SAomAimhFAgBA7zjahHK6itYOcMqp4b/z618bGZncqthVTYdmpcJXYsxEKyNRiG1KI7a/HXmaWcqzBjOzoZ4plzzd2a2x2s9DXY/vHIhmPZVCwNtdoASwYyz6DZMbdRqfiooBmzB4DtTEF0DF1bEBGomUzZo/laS0jBjLr2ZnCTTYwTEFYcJYj4VHxgkL4nk4LoB87xb1y7To9I9dLgfPwljjLVTgSHe7qiZuIGhDQMP7mlENtHnLdW/ZBp/XwEMENncO40GDEmykk3PAuXbqgsoix6pz34sZ9+vTBmSdMmIA/77HHHljx4sWL8VgkuXfv3oZMnjx5/vz5KPTM7IPQxx57LAp6zTXX3HLLLTizEl8/yo034uHY+KhRo8g2lJtA3nPPPbERy8DhTYRpX3755Qi2IfPmzTPRokWL0HWHLF988cU4sPIv3m1+7LHHtH/605+QYdNROO+88whmvy377Sus24zWFpSeQYsZOXKkGa3Z4eDBg7t27eoSnI3rQuNx/iuuuAKpvvvuu7HxF1988f7770eAGUe2kVukBaGNNcSvT994442EM844I77Wa4VI9WmnndaxY0dP2SaNPeuxego8IQQoKXCAEIBTgUMtfSDoD//hNk4xyDdCIbyFY4Q7ecRmRMj79esnqHq+S5cuzZlwmUUiWqUARm5r2agRhUHUC8QhzwuBAghVeSDjqQR+Ga4c7ivCGktwyihqWj3F3p0VXg45sawWRQYvjy1BjlHilxb0G0Kf7BQ4NHuWKwu/k0EZBE3R0ym7RTVAjlQaC9NPx7bRT6ADLoQRFhjXSTlOxdYyKu4ACxYGzhoSV+3Q4nPLDi1Gj7E2pDZfcER2alYe1U/o6GHHTVBnCNPuP8s6GdFJjRA9MaMhhjs0PAyC1VKLxVMITYj7TMEpl0CwQmeBHHmFmhb06CfENTq0bELcInZoEnS6IZJiZGieQNAZPXKkHo8+BK1cqNVDMFAnO7EGowwxkU5JS66Sw5QI9IM76QQ9EBmXoIdME8jMmtqQ6A+qE7SHcm4nThFiVFiIPE0HJHiHlmRhFBhh04K1YIV0jNLGQIvJ+VIuGJULubwJKJccyFp+WBI6TRdGLMBDcfNDWWcMyWW31510gRQsLJ/aYdwQC3Z7yWHTkEDou95Qdgocxq0G+lqHztJxlhGHcduBYHlui/7QjBqITNA65e7xTJfAOblTeJpOt9eyw1RscBeiJUMoRKsz+j0ggk5CeGMMYdAhy2E83JX3kmOb0GQnLDir01Z1Vo+zNprMTbZCcDb2FMuWTY5Cn8HoZCTsG8IIIcySQ4jNEothTRug6RQFoEnBMsIOszHKFARwNow4RQGMohwxzTppGi7QBU0SMSK20LFmMJbs0gTGOKuHZVOzpo0rjUIzi6bFcMlgoKcDnk6s1q12D51izbwMQtwu64wVGgURuPRHPATXzgLBGuLQMjxHQwgMshMLY8ooFhi3GKeAEHMJ3UoiPdSsih1XFJbN65BOXFcosKnTmgkUWHbWDWHQQEmHWqzKKQoxXcxluOmccnOAQJk1j8M90bo5jJhL61psBJejnyk3ivPzbRBbjKIWvuoUQY8hDMblx9o8CI8jlkeB2TDIQjyI4CF2lrNkcNZhtGakb9lxh8lmd70uX6cFsK8FV8e4TlfKndBROkZFZ9zn6LEqOpYXl2zxZK19bbNrTWFJVuKR0Ylnqsc1iiSWzUhcuJW4WDqWaiAd8URUoWblLFDOg4/I45BxY9kka+mIM2R3yQU6FdfLeFyLNTtrrB6n6Fiq2GVGF2JGs8fDchMsmGx5Yc2zMJ1T9MVGa4sgyWBcCxAYsQYG2TdE67qMMtakVuiKjGKEpsuMQy1YWOjTdJnRGWeLZ/p+UmoGQgRbpqyBB2oNNJEeOlYeanpcgrO5NXbcQ7BmS3LbndVpIJt6Yp36mXUrLMm1uDkukCmXE09Bj4mMYsclU3Mb6dsLnNbdM7sr0lJzlhz3luWgIm6yKVDHRo0acTPByjPSgxLrcQk0lT1YIuhhwTXGSjxQUxAo9+/fP2okZvWzYJ0xo0dMoAnh9g6BSzAeW0zrrJ44BTQhdCyJWT6vx+LDH5zSGsXhgcyy1iYqKiqKOCaAoJGrVq0qy1wrEa1SANE6/vjj7Qr7BPi6Npw+bwsemjk3cMRw37x1Kvwy/JUjasEh33UIfDocl3/btJKK/RObMPK9HspORawns0DZjOzExiCwEMbNS40QW9omJBslEDAli+jUMqjT8nSazhCC3SKp0DS7QwNj/QSpzi7S76yxcS1GEQyJlUcdECnZQAoWFsujCW5IrNnaDHEb9WjDQuhDhC2dFq8/rkhPpHn9Ds1r/ZTdB4c62RGDPKaIFNqIOHRoxh0G+mQ2I3hpDTG1JTlL2fIM1Kml4NBc9I1ilik2nTKdVoDOkx+ENVNEj8NwFUZikcYaIkZTCPsmZVMb66FJNtZZ8VpAj/XEdAYK92aUJ5wS8SNbZFmpOJmJ72Ff/nAqz1gQSUWnNks6xWDEENOFZYJ0aJFWQjBpyE6ZMRtRXAFYiUO5J66RZuQ/1vLcFu0/hPUYBValZSeWHchlp0zkbJjVX3xJGRzmLTjlhls55Twp5pZDITTDDoVYPNmluS73PzKli3Vbwg4hWp1hKu4nI9p4InGj4v4DQT9TUHzjvoflhZvRp+Aekt1Dd5UcsH6dIXgEWqMCoWC6WG34RvSTKVs/GE6OIQQOnG8Z+hTiLCF8mz7E1ggj2tg1hkQPBW5sazMVh6FGCB2XE9OF5zMVh7FChzRjnUB2Csj0KZguFmCKsEzZWJpWrhNs1ViVUzGLnuiMWCS4QSR+YI19yoyYggVRJYgKIw7jnjhLps+UUBZvKDES71YJPlHre2QQSzKcQQ+OcQNFKvMyayV6PBrLM4R9qwLhizUKcS0WBu6nyGN4vHXALJmm6RyK1YIzWBLICDoJ5oql0rRUBi3JelgLg3EHAnpieQTrAYfRo5gzr2VYj6nDbKyNcWYdxhDLjsehpQYs04yzXDFgGQ7jtsRt11qke+JuxPPiJM6aLtYct5QCyzrJzMY2dPnWrB+MjR1qNxFiWxFsZPuRweixK8FWteUJBlpDbEayGR2axSJj/QbGZZouFuxZx6ucELfCKXeD4Gx2lcX7jk1jrcrFak1nJVpTCwim8NSoQSwGxApGPEQW6MQ6BYRo3ZawAA61dFyai2LfXBEr4kqL40hW91uzfosxYyjozG8IC2zqd3tNGsZN59L0sOBu03dn4hrBJbtLhrsu1ihYp1FsEljTRtDT6o97bgGMGMKmlgXTGavfQD2hbHiMddZAPe6PlVtD3E/9cTnGOkVgUL/LJBhrLsNdggUzay+4z56ggQ5jZ9FnhCb3MIWB+Z3UqY27pN8UsRILNoXDuFHUWNBpbdpA7iFxgXFz2AEzxoIJ4TkGhsFYlf1oF8R9trUxJY7tbkerkxBByebVskDZQN7oGg2n4DBkZ3kRX6IMLll4iRtiXgNjIrKeWIwFRz+EGgWntHocxqMPBYhr1GNSU5tLJ30CxMCwY2o9sQbXiPude+65hTK6TCIRrdLhlltu6dSpk9TImWJnxh4LRwz3hXDo8FdbixBqwFNtP3vPWKdiK2Ybs/jtDtBDjZsaxaCBmRsX/w670E+NBW1YiCk4NOSbXA9NC9AZS9KjZVZPnmWdYko/4zptCT3ZGsvZ1RSM0mkbB8MBGy/WaSKj5Dy7yK5mkI4Vag2UcfU7Gy/YiHpCADWdrAGBKWBTKHE/jaVZVFTkVKvsN76tgUJurWnTps7GLC1btpT2BKYwSzMsM6W1GJGRpotydS7KUpnST1M/gRHLMzuBKf15laAlsxDLi5tAjhsFetx2CyMzzhoYFfcBGMlvOFD2oEXqeL7gSQnZnqCzVm5IPHRq8XwZZ5B9gn7R33A6TpmRGoGR0GdQVqBDljkif8heEDVHLkgVAVODUZEandVSkMO00cOIhESZZYIFxILdGa1DCvQpROajYwGEMBv2HRIcUmNTy3ipEOsJmNG8sVrIDWrN7p5QcGhIIJcJsTAKbiMhcq21EZyN+xBgzWGsmY5H75676rjYGBin8qegMx8VJZSJYkbTGWiiEKLT2bg5RsVFcRjPkQKZQFnLFDWuYgptCDGjqekAOTwqPDN6nC2JYq8tX94pcjhnIK4LnNU6FfvFJceQCC9ayJXNlSuDU8wyzivCPTitzkjGse9sOrvMbo3NFWAw1mYIOQxSDpvm1RPWmGLHWDtRa7dSI8fOpRNTECC2IfsEEEl0Gg5WziZrQDC1eU3HVEzBmkNTx6richhx1rzWL+aIGxF2LMwsFOKJeDr8n1mjPG49jFhJXLUroha7m31zsels3G0ggOFkZg2Bbt26ucZ4aqaLqOhshEECC1ZCoGCKCIMx3EXFhZsoZtFPB/SETrTUDKdvCjKSZlKLt2DXoqUfN4QCTXAJOsVtbTw1nYQ45TKNsmw9+UVFv06ngDVy9HBgahZGx5KshKxfp9sYkceQuMl2jW0CNo6tbQfpjz1lv0SbC7F9zMWmIXoc8lWysQKIntitdq5luEBrNrs7yay5dIKF5Tcq1ubOWDxT4OZQ0GO4B+SsQ3bCDfK5LMa1WECsyq1zUQIOg8wSIlLlMLvluUCmDHFokSaNe2KU226uuCdAzQrdNDo6LZtmrM3ZCDVaK2HHXKAnbkuc1e+s4RDPyBRaRlyae+gmWCrjlrfJasOUdVKOa8/BlFFgPVZlLjM61G+UsWHKcOskWIMpIjLHKUOKl5vJ0dJxE4DgsGQ/m+BaHGrdIhPRDIPauHwC5JZ1WjxYsJUE3GRj3Q1P2dqsyrI5s3531eV46KFjlCkoaCnHYdxGavqj0yj67k/4dsAK3Wf+ELsg3CzuNsQWdkgAPVEzgL2vZU0/2VwsGGtV8dydyqcDgrkIzlJjNnSiNQpyTaATdiDsOMyHh5r+6ASdDim7BLBmUwhWSrsLLrigUEOXSSSiVQp89913X3311dy5czGHcDsuVeyPmcDLuSkh4qzWlmjdujUnQww6d+6M1vfq1atDhw7SZ58+fdq0aaN/5MiRDDrs0aPH0KFD582bt/feew8aNAjZgPjgcvfu3fXMmDEjvigcP99s4OjRo4cMGTJ8+PDp06cTsJoWLVow27Fjx/bt29t4sR9sxSgRKHB969RvZ0rbOoMFaS3VoU6HMqh0K5fb0sFegIDqxE9v9ezZ0/Jik7tMw2kyLk3qieACboj7ILaKOO6Yfi19a7OwuF1aQ5iyISPPWYapY8c6jIERjwgQ+pbEjp1MgRGt69Ky7Oq0hrCghyDMWYaxcahfXCAYYlJtcW7JOKoA4VQcxqRMkcOCWEnQD5QZzCJM4c1JgrVZDH0DQyfs62fZqSh38lFR67gc+jFjXGAYNzU1gv5Yg34QuK2kOLt+/26JDEFHZ0ytP0+fEPqE0GTQkiwmMk3eOiXfGJunIgMdElw7GGK11q+/OLllMJYOgy7QLNajx1LpmM5iYmqdkRQJMdBh9PwQcQpiVKzQpXniLFtbnKXpMvWHn1hh3ATT6S++8mzeOHR1lhRXARbs9roVkRGZdRUEwwmUDbF4DuaSbYrwKBb0A01GtDSzTF0MS9KaMRZsXsYNcT8NcaifbA3hJ2DZVgJxaAo3LZZEtirr4QMO49k5pBbLjosFBinooWMIOBUWwCF91+IS7DLOxqBDCE+DyOUUrAfoA8GpEMKNHeaeHGvWk7somUsDgamQ3T0tP7dhY4ObK79eKzeWBVMY4vlaoVBjMQbGdEaRg18xpaWmkxrZcGrFdzD7HVdEKCyYMYhHXEXAcGqEqAMYIdDR73ax5pC+VYUya2KpYMgga4SmTZuSBSizWJVZYoibaUg8KbJOw+Oukl2aeePQVccp/W6aIYzESuiEEHcjdCjojInM6NA6BWpG6FiGRbo5DuOqXY7OqMZ0AgHitrs0/hA2dWp1uofgVps3FkC2NgLEHYulmpHM5cgs6zSEjqvOjYS+m+AUTYcEmuGH4JRDK+Gx2th3+u0ONlkwyl2iFgrk0Kdgf9lBYO+HYFtFqCHYIGZhTauHHUOMZcF+jDAVG9Z+NCMFFpyyc9m3bJcfXJoFBt00dymebFy+5bEW9s3LpjXHTSNoY49bg6fgcTNrrli2WVwRsxZvoHljJTpjGQ6dipZ9K9evpcyOHhN5xGRT69caa65YFWWHYA1WGP5mVRR00nftTLFDwRRmJETUcggEnZRNwWBcskkZCf+JZ2oiM+qhRt/AmNp66NOJR8CCm6wnBGd1xtRk5YR9ZElxfywD3BwrjOs1hakJDuNsnAKdDLqiuJnWABbm0uJs+JhlkM1FoO+UuagZRZNs2WRwykoCDukU38eM5GspAzueb/gna6ZwOeHqDgMmBUOcMqkLBz2xcQQu29NDsWGdDb8yylmdzmrtcTfWDSfEti3evdledv/zx5E/mmjt9wgR0a81r9ZqzeKJkLUsMEhmgU1n4xQBCLmcD4nhehgklzwbClpmY22hFssga61KzDzjjDPSRwcT/ilkv5vyl/33358/2Rt8iH9zVnvGDuG+vJCTxa7jf1x/8ODB9K+99tpXXnnl6aeffuedd+J3hz777LP33nvv/fff//rrr1leuXLlxx9/jMXF78Z8/vnn1CjTXLVq1Ycffhg/gAvfZv8AQxMcfvHFF6tXryZTeCvDu+++G7OY7v7777/33nvvvvvuxx577Pnnn3/xxRfjz1IfeeSRp556ig7LlK3tjTfe+OijjyzJ8GXLlr32WvFv77788stGsfPcc88Z++abb1pn/GwO0HfqySefpOlCtA899JAZ/5zhT3/602233fbHP/7xhhtuuPHGG++66674WudFF10UP+7k1AMPPGD4gw8+aFXHZn/z+oc//OGWW26J31Oy7GeffdY6H330UZ2nn376SSeddNlll5188sn77rvvwoULFy9eHP/toz366KOPPPLIww47LP4U6KCDDtJ52mmn2d6nnnqqIb///e+POuqogw8+mMD++eefb0b6J554IstWdd555zm7ZMkSZuN7t2aJPxdiEJxCgydOnIjfjhkzJn7NOX5sGteNThQUi46/a4y/s0Cz5WzgDPKuIMtttHxGMJLRsV9hSAFnyLBhwwhBgHFmp4RaPqYVFoUtsYyPyRwCd0Rn1hxGQNfKBE7RFOjJcoasJp1EK39EApBU6FPTHwnGWZB1yCzrdCryjdYps0TKcZaHQwwxi1anFZraGmgyQqDMoPzElCwoTUY+jqQIZChZW4B+baRVcBhCZGILsx6jyE5Fp+nAKIexyGjNG/bpEOIwLtmqYp162IkrdRUuwaW5RWSX4DAya6QQN19PJNe44QbGcDeBKQbJcRiCZVAOU2QKpia7XfpjRgadsh5BI8zqdBigE/M6xQEMlIxjVfQpAx1now2vEI4IrkUPI1ownIPxxkjPYpcsqKXPIBflllGjm4WyKUS20OGEYdmkThF0EugbRTYEWNbpMOoDZuMygeCU4fhAFBzGmoJOGDeWBbJ9oY1LIER0ddWxbDpxysJCBnNZRpQp+l0CGRg3achxirLFG24lMVy1p7VCnUA/bimFRo0axa+8Wq1b16ZNG3fPXFFDs8OCQyAb6CbzrvAlRtx5j8CFgyulbAFxKxgPjwKdMSkjZOtk3CWY1HSui6zfbREZCKbTxjPlGA7dUlfqKpg1igVzZRdd/JEBIcVYQrwH6Cw57rYZDTG1ZRgejscb+aR+81JzCZZqhfQdUiNYmIlM7VSMcipfPLMOPTgbwS21TgpxvS4/hLhkY/XEXdLqtEfMboh+h4ywSS22ib1McIdtrthNERbYN5GFaZmiaeq803CHbHpwlJ21Qi05zDIVtyJunRXGAlymBeh3llk3OfoZtFrrtwz9RlkqU8KLQMSsw7gPlhrrFCrFIuHCYVyOlReHvCzcORVyLhji/keA1ZrO5ZjL8swC7GjDYMBiXK9J9bNPjqdjDcayAy7HJUTwNAsBCPli9FM2HWsukDIj8YzcKKtinI5Od0OPuBcDi9eU/YGhBZjUEAI1rcUw5SoIzMbUsUIGHeZ3QMugQ/o8zW10M0GnU8aagqyHbGzMnp/Vuhxr5ooWTNlZ1gjaeAphkLLLNIsFuy2ULZgQU4QCsxSo6XHK8Dh0lkwwxFwuxHCPxllC3HBy9IOb4FrAA+WBxfEi2zhOuTkGEvRwGDeEmmdk/RFXI4LpJGvJhlADAx0W28peezI8d91QC+O8F/ST9YQzM0vQA3EK9JMDzjKS61hhDDRvGNfG2qI/EAMJ+kUAglWpcGbOnPnJJ5+odaPEzQrqMoREtEqBjGf9RUHPe+Rmzh0bg1uTORYn4+jg7Ny5c9EDLAIhwY4M/yUJfSwVTBqeXRLRU1D9iVDScgj5LNGTI3pK9pPjv1DiR0u1Je2EkP+eaWa4uHNj9luu0bkJSloIOKQcbRyW7MwRZ+O3X0NmKqYOTSw3/rxFm/9WLOQ9KCgZ9cWQRRZUFqF96aWXkE+MEV8Nznn77bdfc801eCZyG1izZo2xWC6uu2LFCszZcAPjp41wY6Mefvhh8q233nr99dfjnCzgq1jr1Vdfjc1ecsklZ555JrLKOPaILnJC/PCII45AKZcuXRr/1XPMMcecddZZF198MY56wAEHHH744Riszr322mvBggWGoJf777+/4fFTTgbSOffcc03H+LXXXmtGmmo1aUboj8hLlmDIegRlm6JXr174MIwbN27IkCFo5Pjx4+O3noLHmos8efLksRkIwjGFSZMmGYuyxr+vGIvHYrZOzZ49mxqDgwcPRmvbtWun9u3QoQNOG39whKC2bt1af9AJhalOhXK80xu/Ij1y5Mg+ffqw36lTp/bfI95ApmksUGZQhVq/fv0gw9EqVUOOzCcXxsaPbCSzSucyNEjGUr5ULSVTiHRruEQrP0URJlVLqBapZhU0KETmjnTOIPtOAX0T0ZGqZTJqbjULcasdEmIB5Mj3BAY9lCgIjALLpkZBa7gWnKVGYEqn5TEemdjULlM/U/nwmA6McjYzXPhdDYsUAMMrdLo6FhQB4RUxMHSAfvgMTUuK4Q5dLH1yrCeia6yKZqzQw2WBAuhU6cYK3THT0TSRU1ZrDXw1iIEb6Kx7GDpmMRCbYspK9BMYiVa1pI0PNntwHlO8bsIO3mKsdVpGFNlkTzbWzLIrjTtjAVEwhb7hZomeuASt5UWPWYqKihg3I8F05mI2Wr6tn51Yg1ncCrAAZ/ObZrg1MxWv2sQlx1IJDinHmwkxryFhxMIIXMit0EnfWet3Yw00IyMmtU4LYDzm1YYnOBU3zR2gwxr7Ud3aC/rdE8YJEA/LQGdB+cuCHgvQSYgeMzKlE4twyI56N8p9Xk1wGDbDr2ia3Vj6OqmZlAOEEaeoRRFP2XBGmHVoxrildOxZZnU6ZawLdCsgrituO/1wZkbM5VQ+dSxGv+rcqdh9sRhL1aOfNZ2iRFALCD4QhwStNXigEUlYY0HrvjFIwRSmc5Y10GlhOi07WEcMYaQ4GH3/SpCBpnYq7EenSVlwSr/lWScjQNDjJsSV6mHHYmIIfYjVxrKFO7JRhsRVA9k62ckXbFJG8lFaKLb1X2mnlYC5IorqAadYyDX1Qwxh1lXQicNYTNwBcngOGG6FBJpaz8vaDHR1hDCon77OuBVWDmFKTwynYGx+mZ5swDW6ZIJTUHwfM2fjMPrZ8QQj0gYinOr0rCPseI72XYQ7Z2MICxC+ZxQ1CnqM0umZ8kw99CHO6ifERjMqkPc4GyvRBkJNyyyBhVCGTdRyhCbEwmKFrkJrYUKQWKSVSQcNGnTvvfdGKRWFVplCIlqlAy+5++67eZL4y/n4k9ZOCOfmVRMmTDj++ONfeOEFZTd/Cq/KWygY+pkRcwXyqQMOAwXVnwgF6/8IMXXhIEPeE0byw02Q9+dqWfdfR66ZI+8sKcAmp3JOFYd/B39/AbDJdNpNegIlOzfpj8WURK4QQkn9H8JVbKKfC39rYH42V8h7Njn89ttvcbMIo/EWHCajekNRRFWMBVF57LHHSg7MZQi5+MH8tYdOZh9fzf6ApPgfSAonSsDNoZO9s1v81m6QW2QVHGK877//Pr6Ku+pxqKVALe4qs3aonrVr14YFAmDOhhCK2fPXXztEmHMLTjnUCR988AFKjCEjw88888zz2V/EYs75/+GcdtpphxxyyIUXXnjnnXfGj/Y+++yzK1eufOONN2LgW2+9FW8UI9UBRp544onnMjz99NOvvvoqfdw73m0WVVhw6qmnniLEv76S4991zGKKSzMg3ng4vs2I9IZ14+GGeyJ0rrvuOpycArqu3wqxbuTZIv/85z9bOSHejqYQb027optuuumCCy5wUcj8RRddpD3nnHMc/u53vzv66KNxdReLoqPQ+DnSTthnn33mZ9CP0h933HHmuvzyy42C8847z6gjjzzSQKz7oIMOOuyww3BpzBy3ZwS9P/nkkxnXj/nrjH89IgB9MrOWcdRRRzFuSSeeeCJlp9g84ogj9CPzU6dOXbBgwZw5cywj/ll43rx5yLx+PN8h+o0SqCGU2kFLoryOciF4EQaOmWPjyPmIESN69+7N1fFtbq9HP/od70Ij9j169OjXr9+QIUPiZYL40epg7wQKiH2HDh3MS9BSZtCpgB2kkzJrrVu3ZhmfwZ0QQsvDPbR4DoNmDLajzLJs/EeP/UhA0uxNCIoFUZOphwhG0XdpcdZhUBqCayfTiUrOWQtgU4+7pNVJzT0BArUoGUFl6TZaj1OMOBt1aszIMlDTI12qLxWvUYkSZFWntFaoTtUTBVw8BTW3Hi3lqJJVukEMTErQCVEH04wqUGs9YYRxp+gbyEjMAg6txB1zjfQZiU4CHfdEp54gbxK9TjYj7xvIlFNanU7F3bAknYwo64EyTYuE6GScNTV98IGgECp7/TrzQ6YcWnaU7GTDtdbDByzMqZjCQCAY5fJNxEhQFJ0xKj+kQ6bDgjtD36FO6w+OxKwhWp3WCQT2tRYGGc0pIO+JKYJ+sGmRWrJrd6+s3+UwEjrFi87g0FirhcxeMcjmimWEWdCpNVemWyyDs3q05opnZJSzOhl3jTpNqjO/EP1hM9RC1h+nIK5Uf1hzCW4LUw7DoE5CLI9AAVygS46rpgPRTyHYJoTPBOIwPJOH2GicJ0D2aDwObTyjYC9cWgs6yYHQCXDCsEaAvDPk3HVzBUJJhUDI1iDI2LC5MmRDi4fE1AzmCyBbWLSxi0UYsK3EQ5H8888/j9wdiOxfRpCIVumg5nvllVciRUknCk3pxAazNzjcqFGjPvnkk+KasUR9GW2MJYednxvZ5AXki4GSp0LzpwKDcZkhZDP8U8iVCSXlMBWyNpuk8O5THOZyHGrzwx/CqdDJUfKQHId5+0NkisUIuWQPZCr/pT8XYJOFbaLzQ0IV+OHl/NB4CPlhjk16Sh4yC3qi1aPNEYdOhWBtuQz5cIISXAXZt29ftCr4lRqxT58+vXr10qo+77rrLmolhwTY+WFPGIdN+vM2R6Zb6C8JPTE2t0DQH2305Iie4mEZovOfQSjno6IFs+QT5Q80OkPI25L4q48+G1SMOMyngL8ll0QMjLPk/AkWW/ze5g+FQH4Yw/MpSvZvogMlrYWcX1fJ2bX5kBAy9cLYQMnDmKvkLXKYWwiEvs5QjsNAfhhvUOcrcUjICTy6jqRNnjwZI+K6gFMpDoJfKfG1DgcOHIiqTZ8+HVMNZo5sx0epP/zwQxwbsVdJYMvB0uOt7xByZWfpxPvVwfyDvWccf230AFmL0i9fvhwnR48fffRRpJqMpT/yyCP4MIoeH9h+8MEHHWqp4fkoNxKO+QOarfOee+5BuW1GbBnBPuuss/Dks88++/jjj8fAf//732Ok6C7uitOqh9wNBBXLhVNOOQXrxttdNR6L6OLPxxxzDIo7Y8YMNBVZdU+QW0OwZfTYqQMPPBABRmsRWsyZ5pQM48ePx1HHjBnjTsKECRPiv4mxStED2wQxpHv37sEzPQhU02FEGJwW0FQcUgmomJN2ESTPSPGnlkWK4lB/VLSKzigQZWeFr9JZDQ2KabW1mlgRTFAxO6s+NpYdPXScVT6yY7gUr2JWlKu/VdvORs0d5bhq23CH5CjcHVJgx6GWHP1RecfsJg02EsU6m6xpnQICGkBTp8UrNlQdNPVbjFUBwcCo183okFoU01qTmhEYMZGzesjAiH5Tq4kRNqMMtx7XTo0cAx2GZWs2S85kLCzokLU5pdOCc8tGBYw1JO4SBXeATNlzadWqFQVTUDAqN0igHPwn7hiD0ROLdwcIcXNCLQaGffoUXEiMitsITsVA0E9Nq58CGXIhLoG+HkMcGuIa6ZPB+qOf4HLiAkMOiqWlr3WBbiYBCK7aDQkWRIj7o/UI9OTkhAeCQ74X5MohtoP2OAucgXvr11IInpP5ePELCjpZ0xk9MSRQTIZKfFsVLAZCTWs9OulEp8rWbtJGv05tsdHvOZtZIJbqlB7rAdswXqkhW7m9LDJ8/PHHgm1JRNAuI0hEqxTgHHLzCy+8UDv7jgF/kow5U/ifTrlEBg21wpiEhC0bEfK0m1S0eQuhGdAJBERLVaRaGjVqlApJPeRQBq1fv77CVJ2kPovhoZ+QsOUg90zt+eefP3z4cFyLG7dv375R9vtAagVBHsvSFhUVie0IA0KCBRVMbG2I6w3Cqc2BcyKfUPz28Q9AORCaAcoIZCDG/h3QiTeosUdkMsinHiA4/PTTTz/55BMUNJgq5omXknUCKuue61GrOUuZ8MEHHzz++OMPPfQQwkm47777gn9ilQ8//DCS+dRTT6GdCPDzzz9PdvaBBx64++67sU2c89JLL507dy6yhx9ef/31d9555x133HHooYcOGjQI8bvqqqswWxzVQKZuu+2200477Y9//OM111wze/ZsVBzNa926dd8MSCCuUqtWLaGvRYsWnTp10omWz5w50xSjR48ePHjwyJEjmR06dKgZ99lnH1SzSZMmHEyFqjLGc/ibsMnToEH26WIVhcpVga7Ej2pe+U6fQ4ICV+GuxlV+RFHrLIKhMyiE4j4ogSFMscMazoAhBDEwSvUS1b+eIDkIBgTxcMhORi6K6Y3+jNoUE6FQhiAnIRtCU2slOlm2SLPrRCdcptnNq1gynXtFCPbCcqw5BEs1PGNPxW+Rmdp1EWgSonV1+rVM6XF/TEegll8jNYthk2xJ7BvilJ4QTKSlZlUGmhrCph5XRJOCHos3JCwEYpS5yPqZ0mMZeghACNIVyKkXuC1Ii8N4gm6RTi0qFW8paz0yk3qsHpMHBxRCMCR8Q0+ArIfAgiGhkzOogLMOQy0EiMKVJpAD0cOvmMqNF85lcBgGwUQha0MGKweHLoRXT5o0yVYSNAphqEwiEa1SIBKVyB6f5eBzPNu24Xm8SvhbtGiRvBJqhTEJCVs8wmPVN6+99trrr7/+7rvvcuPwYacg1AL6Q19No9qIl6gHDBig4OjcubMiVRXSrFkzBevpp58ew6EwOCFhy0DuljxZ8Y1iKQj4cO3atdU66gNlqPJXqNe2bdt24sSJSuebbrophm8biJsAheO/hoLGT4EfGoxg8k/OEsoB8iajVHIhOBWaFELIgStqQyEjjBv1xGGcXbduHe4Xh6G5iWAIhZwuhhFUUPB0GKySHULw0pBzQcuUQ2rmWpkBe9SyEG9pUgN8UhzG9C666KIbbrgBY3z77bdfeeWV9957780333ziiSdQQWdVI/E+JxkVvOKKK7BB/BOZFH7PO++8p59+WlTXIpOnnHLK2Wefffnll6OOH374IbJKTc+JJ54Yn7M98sgjDzrooKVLlx544IHz58/v2bOnkD5kyBBEccKECSji8OHD27VrF996JaCLuKVQ37FjR51YohodvQnugT+okRASst2k7HaoBMdnlOaqJiwFmQnaFi0YDk4hOdrgP3ooUM4VCPhMWAhNiLPFVr43GGyNpiVRYwoF0jqlB+g7jLOokdWGMhZk2VqMSI+zAXIohB0yplrMpTJmm1NiA+MNKz2uVJUY3MP9QUViiLsh1Kgh9dOp+v2/w5MpkOMu5T2M0MypFy6khxA6ZowpdDoVY4ECmULYMSnEqYDDOGuKXEceJ+jJVIrpWejE2JgXQnCW4EKszVWQkTRPXBSdPHkyz+T29k7x5i+rSESrFIhQK4rxQv7Epzk0xhVAtPbbb79QE0xjSELCFg7uKg6+/PLLvHfKlCl77rnnXnvtdc4556zK/sodKBRUMxTvgaxHdh84cGD8qoREG5/qUbD2798/fmRCYZre4E3YYhGeDBdeeOGgQYPGjRsXv0oC8VsRDRs2jK8ncWY0DC699FL6hfFbLeKqcwFKypsgG1GMwvH3KPT+cyiMKQGdEVsg4kPIf1U518yRqzkVZ0tayGX4oQKEHPVfCCGHchxmZv7zdaVMsViIzrwnBkJ0OkuOtiRy/UAoQxzm+gSI/lhD2NcT/Q6Lh2UKeorHlED0Q24EMvViOdpNRkXnD1HyukKAXP7oo48++eQThDAOKcM333zz+OOPn3HGGegZJmbvKP2VRjZUvXrFf7qg+I5XLgYMGHDPPffceOONJ5988iGHHLI4+6XfBQsWqMvloIULF87JvlG5xx57jBo1CrsbOnSoU7NmzeqV/UFO7Eqnpk6d2qNHj2bNmuGBF1988QEHHDB69GhpqHH2MzAmMnW8/ahUw44yClYMXAhNwsGwKeQBR8LTtHgXBoUw4FR04n0/zCE4GGBuOJIe5V8Y0TIeNM9h8LHgYEG3GEE5tKgmThJ8hoCX6hdbLNgs7LDpjqkklZfGWhg1AvtByYL2AApHP5hPqGmNxXCcRX4cEmKd2lDI9TMb/4k4G/1aD0sGz2kVIZCpFPcExYrVkmMUwcq1OiNgiqvvvfdeeEiA75VNJKJVCnAUgebFF18URPgi7+fWfEtKlphtfhVqhKdQjlEJCVsyOOq77747b968adOmqTVlOKkOjjrqqNdeey3350AuE7788sv46b++ffviWiC89s7QJfv5PuxL3qWZj0pI2ELAJwVzUB3yeZVfnz59ateuLaorzjAugT0qITUQ31b2zZ8//9Zbb90GnDm/hOKd+Y8QmpugcK6UyAeG8MPDkgJkJ/9TLYenpv1hf+Cv9heby1A4/v7ph7xJf0H6HiU1/xZKKoQ1PRE8A7lCsa2/Zk1nPjB6HIYcQt7G2b+KmDG3kOOv9mz8/j1ANvOlhqaeH06UnyppjZwrM0jAvnAtSUFCGTFiBC40duxYmWX8+PEE7GjIkCGzZ89et25djIo2R6yEqbCcXxFBC+vXr8fx3n777a+//jpOrV27NqYm67GjV69e/f7777/11luvv/66Wp/CM888c/PNN5966qmYGFJ33XXXxf++3H777Y8++uhNN910/fXXX3XVVWedddZdd931xhtv2O80Dz300HvvvZdC/G7Q1VdffcIJJwgCTz75pCFLly5F8NC/+FojswMHDkQyW2VALHG2f89+cQQpImBr8Q4YWoK36Me+VJLxgk6j7J8ktPiYkjInMCiWZBrQbxQaZpQhWvrxJrxRhiA/MRCB1LKvRjUXGWLSkHPogfztLLyOTXPFG5JOaSFXDioV/C1aPaEmeLpqxBjpRcWzx1VAPEfPqGwiEa1SgKNwFxtYQdmgQQPetnv2QzFcWT7mncKHTR7+xLdiVELClgwuLbvIiJMmTRo2bNiYMWPiT7ElSGlGPuPJkc+iLQzLPJwaTmVUp06d2rRpY1+0yyDNyDfSxgUXXECt5KiygLKcUbYiRDxXh/FhvlpUVIRTIVfxGrzY7lARg3Hx8GMzfPDBB4XBCQllDDnVIds7EeVKHgYc3n333UGxbBytnBIfPgRyv379evTosXz58hio3QYQ1x4cz6UJFH/+858PPvhgd2DQoEFz586VXt0EVPOAAw44++yzZUZ0dMmSJQsXLkTe3DFcDj856aSTfve735144onnnnvupZdeetFFF11zzTUYoNpSXh46dCgux+wll1xy+eWXL168ODol4pkzZ2J68VefZPe5WbNmitJ4Rw4QIVQqyBg5Z1ZBk3KZEG9VUci4VQF0tOwQwiAdzArBAzVwBExrePHFF3nFNvNkfxIkolUKCDTaBx98UOqtnP2tDfcKj6ya/V0ML49XiaglP0vYKvDtt9+K6dLhuHHjIhPE5ze0CxYsEPopFOeQDIUx3+OUU06pW7cuTtU2+wMrpaq2devW9evXR72GDBly1FFHxeuOhQHbNMrIZW4z8LwUBMuWLWvevHmDBg1wqjp16nBdIMQrzWSnVC1Lly5FtOK3swrjExLKEmK/aHNEf3SWbF966aX4XF/8/2F89s8mklwQMFmmV69e99xzj4IqN7K1w4XEtQQdDZnw2Wefvf/++zq/+uor8qpVqzZs2BBqdLQQ+oE4jJ5iu9/f9jfffPPWW2995JFH3nnnnfXZ1wi1H3300VMZ8LoVK1ZItWvWrIlv8aFhxx9/vJsfkU2xikSpVNEkIONIOnMGVfymVYmPFG6f/WJndG4CZ7VBz5TB6JzHKjYeeuih6N/KlSs3WXwIZRyJaJUO/OaBBx6QfflufPJYW6VKFYm5adOm6k4KybcStiII/SIyZoVoicvjx4+Pj3nIizNnztxrr73kifDqQGFYtheuvPJK/t8y+xXmRo0a2RfxkQa7Q/zFteRawykLvjFqG0bJm5Ow5SOqHP4fb2dxYK6LXInnvJoAypRWrVopDefNm3fSSScpI9JTTiibKI7+GRMgf/vtt1988YVCX92/evXq+KRfBHkK69atmz179qxZs2wcqUSLa/Xv3799+/bdunXDwfScfPLJYXAbSA1xIQGXU5AyxCvv2b0pvPUXAhDyU8Wq37OsTTppRj/BYchxNjNTyDvFqt/PrhXWPJcnnnhCEh82bFiNGjWwLMxq1+x3DrWVsj9Mz9/XyhEf0aIZBKwk9KBY8U4Xgx6lyuG+++6LTwliksXL+q8Ly+UyjkS0Sgd+88ILLygiMavq1as3btxYZVmtWrWaNWvK02effXb4VqAwJiFhC4ZwfNxxx82YMWPs2LETsn+2QbGmT5+OI8WHPS666KL169cXfLqEV5Ofe+65+Fmqjh072gigNm3RokWTJk0I7dq1Gzx48LJly+SGkgO3eZSpi91K4RlFWaAWEcCxqdq1a9etW5esBMG1OHPL7Av9bbM/IJ42bdoRRxzx0ksvpYebUDYRW+bTTz89//zz7YVFixbFn6QtWbLkjDPOePfdd2NDUYPzzjtv4MCBgwYNGjBgQAjqcsmiX79+koJcM3HixE8++SSUCxNstYirgJLyX0V+fzZB3s9CyLkphyXN/tBCyR5yHIYg87788svnnHPO5MmTBbRgUPGuFISAPgXXIkC8VRWtTqcI8YYYelahQoWioiLlwZlnnvn+++9vyH6dOKYuiXzBhARIRKt04FXou7KycuXK3C4+WIJxyc16Dj300IJeQsJWArHyggsuEDrxq9GjRw8bNgxxQrdQrPgY4QknnMDnaW4SNx1+8MEHnTp1Uo/GL2EoSRtlaJ5BWu3QocPFF19s1xTGJCRsMcgqgb9wb5G8YcOGtWrVEsxr1KixW/ZTac0yoF6tW7cOonXwwQfffvvthhTGJySUJURJffXVV/fq1WvKlCmY0qRJk2SKeLcK77rqqqseeeSRb7/9luZFF10Ur9lJKEOHDtX27t3bQIK0MnXqVNTr0UcfTbvpJ0Tk2XhMgXXr1t12221SM5oEOcUiB4nS6oSgVTtkcDbIFWKGWcU3ZQjt2rXbd999n3zyyVWrVrHMfsyb8A+RiFbpwIm//vrrfv36YVZysPRcu3ZtublK9uOb+++/f0EvIWHrwYsvvrjXXnvJi4hWAMuaMWMGliWb4mCXX355/tpVYUwGAXfkyJGtWrWKP9FSj8b3tdq0aYN9SatC/JFHHpnF/BSUE7YgcGb45ptvlIn169fv0KEDclWvXr3q1aurKtQWArtDbXzeye5YunRpfA42IaEMIsL4pZdeOnjw4HHjxo0aNUp2mDZtGgHRQrpkDfKpp5563333nXnmmbaM7ACYlSEDBw7EuGKsgYjW+eefH9uwMEHCvwZPJ+4nQWS76667DjzwQEkZcUKThLXddtsNgwpaFZ8AjMP4RpZDiLe8DKGsyiWrb0eMGOGxqhPwq7AP8UuPCf8MEtEqBcK9eLCQwQWLioqaNWsmMYcTy9annHJKQTUhYevBxx9/fOKJJ8qL4qkUCKrPMWPGEIJrHXHEETgVTf4fQ4BsoLONGzdu166dUhXd6tOnj5asNh0yZIgiVYAWmgtjEhK2GHDgr7/+esCAAbvvvnurVq20aJXKo2rVqkiXwK7CaNiwIZe2LxSRJ5988urVq0tugYSEsgOeD+eddx6OZEdgTTNmzFi0aJEcMWzYsOnTp8+ZM2fx4sXz5s07+OCDbRZbRhJBvXr37t29e/dOnTrZZVr9hmNfhxxySFn7VPnPjXhG8fFOD0Uci19+h+BOqNR2220nykG8f4VixVe2nEWrHOJdejAunSj0xRdfvGLFCk8qHlagMF/CP4dEtEqB8DBES4jhrzIxolWvXj0si0w47bTTQi1VlglbEXjs888/L1+iRrLg7Nmz0Se5cOTIkdLkuHHjFi5c+Oijj/7Qq7/44ov58+c3bdq0Y8eOwa8wLodt2rTp3Llz165dpdV42dIUhTEJCVsA+CSoSNq3bx+fFVRYCONqC3KdOnWwrGrZfySqEe0FReSdd95pSGF8QkIZQ2wZiSA+8iBZ9OvXLz4cOHz4cJlCK1nEhwOXLl2Khs2cORMBU6wPHjwY3eqZgYLMMn78+EmTJn3++ecpNfxUcCdxIUn597///ZQpU+Jn9OVlGXn3DPHLAsGm4m0rQU/0ixeV1LF0EDM9CFifPn0eeOAB1vIHRMgDYHSmZ/dPIhGtUoBXwdq1awcNGhSvBFStWpWDSszqS0TruOOO44h0oi0MS0jYssFdN2zYcNBBB8l88uWsWbPmzp2La0mH8qisqf/oo4/+6KOPSnp1+Pmll17atm1bhErBGj8e0KhRI0QrPkzYt2/fffbZZ9WqVWk7JGxp2Lhx4wsvvFC3bl3lhUiuwoifQlaO1KpVK4oPUR3RUlNOmzbt1Vdf5cbJkxPKJqKqefLJJ+UFGSFSgxa/kixskPj4AxpGWLx4sbOwaNEinCo+LkhT6S8pDB06lBHU69lnn00b6qeCB4Ro3XLLLR5Khw4dRDNhrVL20z5CHCF+6Wfn7OOCO+2006677hr8CuNyCipmIKgB3n33XdaYzWJeekb/EhLRKh043HvvvdeqVav4MGu8LSslt2jRgr8edthhoROIIQkJWzIifQqpxx9/PH41Z86c6dOnT8kgTQb16t+/vxx58803Uy4My+DwwQcftB3q16/fuHHjZs2atW7dOnhX165dVaiy6YgRI5555pm0HRK2NPD5N954A9ESukXyeNWMJ9esWVMbX75t2LBhz549bYFDDjlk3bp1UXkkJJRBiOEC/lVXXWU7YFNSw4wZM+bPn49WqewRreBaU6dOnT179rx58yZMmIBf7bPPPjqlkmHDhnXr1s1ukkoGDBjAiLMPPfTQJjkl4UfDnfzoo488kfjVXwENv6pQoYKAhjvhV6rWciXgFK4VHIyAfdGUsm+88ca1a9eWZFkQUyT8OCSiVQrwNq68cuXKPn368E5Ei6dGhubHnHXRokW8MzllwlaEPM9dccUV8ZkQFCtemxyf/fagyDto0CDtK6+8UtK3DXT4wgsv9OvXr1GjRkG0OnfujF916NBBrNcOzf7J/oEHHkibImGLAoeE119/PZgVoFWCebymi2VFD69WHY4YMeLEE0+MIVAwkZBQxsD5b775ZvxKpkCctNOnT5cpBHnECd3Sgz5hXLNmzSIMGTJET//+/fv27Ss1KJwilUgrBjplW61fv75gPeFfg6dz5ZVXduzYUTpGtBSlClSVavXq1fEoREvJukuGIFoEEU8ArFWrllbSR7Hiy9iSe+R3CMvZDAk/EololQLhdqiUQLPTTjvxYG7Km+PfLevWras/vi0NhTEJCVs8wmPXrFlz1VVXzZw5Mz4HQuDPZHkRX9p77703+bfWGPX0009LqD169GjXrl3z5s1btWrVunVrjKuoqEiFKr/26tUL0RK1C8MSEjYf8uoBxOr9999f8RG1iEgunsdrZ/gV1KtXj0t36NBh8ODBtka8iAYFWwkJZQk83/Z54okn0Kf4mMPYsWPHjx+vRbSkifgw4YgRI5wFWaN79+4yQr9+/QYMGBC/7d6zZ09yfJgQDHnkkUfCsilSmvhX4DaeeuqpUYsKa/EtrHgjS0uOnooVK+JdcUroa9q0qeR+xx13rF27tji6/QBhOaZI+HFIRKsUCG9bt26dUMJ344VPbsqz69Spo1WYqlYz50x+mbB1IHdXrTz32muvnXPOOYceeuiUKVMmTZokF8qgs2fPfuihh+Jvi2MUZOP+8uqrr06ePBnRUo+iWC1atGjbtm379u3lV3Rr0KBBitSLL7645MCEhM0FfsjJgXDjjTfy2N12261G9rsXVatWFdIFdiVIgwYNWrZs2ahRI16tOrQL4l3ZQMFWQkJZQuyap556amKG4cOH40vxjtbo0aPjA4FTMyiQhH3lELpli9k+WBkyRk02MURCQcnIRv3hD39gmX3GQ0j4cfjmm28WL14sdgliiBY2JaDFxwLFND2BHbIfdtejdr3gggs+/vjjjRs35jc/xbefA4lolQ588bvvvhNZypUrx2WrV6/OraFevXq8NhGthK0O4a5AjlS6YcOGL7/88tlnnxWFFy1atO+++y5btixOhVoOh1988cXBBx/cvXt3mbVv377SanxERA+ihYB16tSJQvrPjYQtAeHDnPmzzz5T6tWtWxfFqlOnDrpVuXJl5EokF9UbNmxILioqQrSUgxMmTHjiiSdibMFQQkIZQ/j/k08+ecghh+BOSNTMmTOnTJkybNgwJAqkgCOPPFK0H5P9QgZChV+1a9eOmkOdk7L/2tJvVPxoobFHHHEEhhBVfrQJPw7u3rXXXisL16pVa/fddxfQsKwaNWqQca38G1kR6wS3ePGoZGaPNuEnRyJapUN45OzZs+Mv3uIzJ1WqVOHNNWvWFEfiB9ZSvEjYihBeTYiYm0de7OijDPk3D0s6th6HdA466KDmzZv37NmzY8eOrVq1atu2bdcMOrGsLl26zJo167333isMS0jYfMj8uvjj3zfeeOO0adOaNm0aP4ZRsWJFhQi5SZMm8cOD9evXJ3PgAQMGHH300WrBGJtie0LZROSFtWvX3nDDDUodTGn+/Plz5szBoFCm7t27a5csWYJWjRw5EoMam6Fbt25aRGtEBvQMSXOWspSBmw0dOvSFF16wJcN+YbKE0sPdW7FixV577dWsWTMVqTiGaFWtWjU+N6hYLV++vEDXokUL7PfEE0/M7zlEWEvB7WdCIlqlQzjljBkzOG7+SxjxOgEIH5988knoFAYkJGyj4OQRl6+88sr27dtjVvHz7vGHWq1bt1akyr7xBej8DQGI4QkJvzzCA1etWnXAAQeo/9QcRUVF9erVq5b9tHH8rNFOO+2kTEG0Gjdu3KpVqx49etx+++2F8QkJZR7ffPPNzTffPGvWrPHZf2EFjxLne/XqhX0NHDhQIYRrTZw4cd68eWjVhAkTaNIZMGAANUL//v0p4F2jR4/GtZ566qnIC9Em/GjgTvfccw/qK3BVrlwZs8p/A0Nk2y1DgwYNPI633nqrMCbh50ciWqWDynLjxo2iCXIlH3Pi+AhseHC/fv0+++yzLJWneJGwjYOTx+thb7/9Ns9HrjArNWvbDErY+IUMyVXeff7552NTpK2RsBnBY+G+++5T8HXr1q19+/bBprCs3bOfOa5evXqFChUItWvXbtiwYZs2bdSCH3zwQWF8QkKZhxgOl112GcqETanaRfjgV0OHDpULMCj8CgdDxnr37m2X6bHj4qtceBchqFf03H///XYly9Em/DjEc1GgyshHH310zZo1xTT8qkaNGirVHXbYYccddxToPKB43bMwLOHnRyJapUD48erVq5WPPFg+5rXxK8CRm0WT+OhgoDAsIWEbBSf/7rvv1qxZs2DBAoQqvvqsNu3cubPkinp17dq1V69e9sWdd94Z+mlfJGxGRCV3wQUXxNdImjVrhk0VFRXtmqF8+fLCeJUqVdCtypUrC+z9+/e/4YYbOHkMT0hIKH6t4j/+44wzzkCihgwZglwJ/gTxH3ES7W0uREv/lClTpk+fjlONHTs2CNjIkSPjo4OhYIix559/fmzMlB3+FbiHbmD2cP5j+fLlM2bMqFu3roC2U/bfxI0bN3bDL7300o8++ohaimm/JBLRKgUiCigru3fvXrVq1foZ5GlZebfdduPQYk3+8+4QoxIStlWEnwvr119/PXKFVjVq1Kht27YoVosWLbp06dKpU6fBgwcPGjTo8MMPX79+feSAwuCEhF8c4bHPP//8woULVX516tSpV6+eVvSOj9kQVCc1a9asXbs2Z16yZMnatWuT0yYklIRN9Nlnn5199tmo1PDhw1XwKBbuFG9wTZgwAbPCqQ488MCbbrppwYIFCBXYcXJEz549CYolecEo1dS+++67cePGlB3+RXgouYBHvfPOO0cffTRy61kcddRRr7322hdffBE32dlcOeEXQCJapQPvlHf79+9fMUONGjVk5fgxDIlZTfnpp59GsEh+nFB28Oijj8afJLbL0Lp1a4fdunXDteLFTjn43XfftSlidyQkbBZwP06o5lAatmnTBsXiqFquK4BXzYB6Cen169fv2LHjPffck4qShISSiBiu3bBhw/333y+2C/Io0+TJk2fPnj1r1qxpGaZOnXrhhRdSO+CAA/r06aNq6tWrV6dOnXr37h2vvqFb2BeeZsgnn3xCE2KKhH8dopbYtX79+s345pU1QDxWQnSWQSSiVQqEo4gISsn4FRdZuXLlyrJyrQzCzYoVKzLXSok5oQzh5Zdflkq7du0qj8ZvD6pT27ZtS5ZQZdP4xrOAm7ZGwmZEeOCaNWtuu+22YcOGCd3NmjUTurGsGhnIjRs3xr7q1q07adKkdevW0U/1X0JCjuL65nuo4y+55JIFCxZMnz5dnLdlxo8fL9rvv//+d955Z3xK7d5773VK/9ChQ9EtkBTII0aM6Nmzp3bgwIGPPPJIyg4/IeJOFj+hDNG5WVBYQYZCV9lDIlqlQPjKqlWrevXqVa1aNRSrUvbl6RYtWjRv3lyq7tu378cffxz+FG1CQlmATTF37tz27dtLoh06dFC8FhUVtWvXDtdCvYYPHy6VXn311SmVJmxecL9wwm+//bZfv37ls/9CFMy18dUsqFmzZr169Tp27HjggQeGfmFwQkJCBvsiYHeAsue4446bN2/eyJEjRf7Ro0eX/OvFFStWzJo1Kz5MOCTDmDFjyBMnTtQiWt27dz/ssMM2bNhAuTBBwtaMeI7a/OMAnGEzvrG22ZGIVunAadatWydMVK1aNb5oiF8pIgWLpk2bDh48+PPPP6cTKIxJSNjWIYaeeOKJtoCU2atXL/xKum3dunWrVq1atmzZo0ePLl26nHrqqWlfJGxecL+sMvyPDz74gE+K4U2+B49t3Lgx0sWN+XDfvn2vv/76UIbC+ISEMo/YDnkkz4J68Vtbip+XXnrpwgsvfPzxx/VQi9apuXPnqppmzJiBbsU7WuPGjZs+fbrDqVOnDhs2bMqUKV9//TX9sJnwk6D4wWQoHP9SMKPnvnbt2pdffvmUU04544wzHnnkEZWzU+EVoVZ2kIhWKRD+wVHEi/iCVuXKlWXljh07durUqUGDBjNnzvz2229DrQw6U0KZhU1x4403BtGSRBEt/KpFixb2hZoVOnfubHd89NFHhQEJCZsDwjJ89913L7zwgoJv6NChw7O/AOrdu3e/7B9U411ZPYMHD16+fHnoQ2F8QkLC30DU0FoodGXQeeKJJ6JVs2fPxq+QKxg/frw6auLEiVqYNm3axx9/XBiQsJWDA3zyySeHHnqoiFqrVq1KlSo1b978iCOOePXVV8VeZ8taRE1Eq3TgH+vXrx89enT17JcGq1Sp0rhx46rZ31yqMufOnRtvfwcKYxIStnXw9meeeaZr165dunRBq5o1a9auXTvkauDAgXiXylXZqpB97LHHNsnBCQm/JCIyb9y48fDDDw+3HDBgQHhpfKiJlw4bNowP77PPPuGrZbAsSEj4EYjNtUmEj85rrrlmxIgR9tfQoUOxrMmTJ6NYEyZMwLvi5wpHjhz55z//mWZhWMLWDM/x5ptv7tGjR8OGDevVq4doVa5cmbxkyZL42l5Ze9CJaJUO4SJz5szhNFwnfrQKy9ppp51Qr/Hjx69duzZXiyEJCds8ePvLL7+sZu3YsWPPnj1btWqFaJHxrjZt2rRu3VotO3z48DvuuKMwICFhcyAi86pVq+Kr+aNGjVLwYVZ9sv8vBt4LhGOPPTYRrYSEfx52SmwWbaHr+x337LPPTp8+fcGCBVOnTp00aRI5vp1lA2Jfs2bNmjJlyu9+9zuahWEJWzO++OKLPffcs0GDBo0bN65Ro0a5cuV22203gjLgoYceKukeZQSJaJUCETJ4yaGHHoqjx1eoeRIQqlatKoh888034UYpZCSUHfD51atXi60dOnTo0aOHtlOnTm0ztGzZskmTJrhW165df//736d9kbAZkYXwv3z11Vdz5szBr5R6/fr147HxnwSctnv37qoBneecc04ox6gYnpCQ8HeQb5mS0LNq1apDDjlkjz32mD9//uzZs1VKiBaMHz9+zJgxDmfOnHnkkUeWwRJ8m0H+6LUPP/xwz54948s18V/wu+yyi7ZRo0ae8po1a0Kz7CARrdIh86W/HH/88eXLl0e04tODKBbUrl1boYlohQ4UxiQkbOvg7XLkfffdp0jt2LFj+/btcS3FK7Rq1apx48b169dv3ry5LLthw4bCmISEzQGOquybMGHCvHnzECouyldbtmzZpUuXwYMHqw8GDBjQv3//Cy+8sDAgISHhxyJqIZtO1VRUVNSrV6/4dtaUKVMmTpy4YMECvMuh2mnx4sXffvttYVjCVoicJ5977rktWrSolP0LPK5VoUIFLIugDBByn3rqqVArO0hEq3SIqHH66aeXK1eOG+288864VpAu1eSBBx7I1SKsFAYkJJQBxL549913p06dqmatWbOmnIputW7dWsC1NRo0aNCmTRs59csvvyyMSUj4xRGO+sQTT3Tr1m3atGl9+vQZNmwYuXnz5lqyOgDdIl9++eWFMQkJCf8C4je+H3nkkf79+48aNWry5Mlz585Ft+bMmROMy+E+++wzfPjwd955pzAmYWtDhFbAlg8++OAmTZpUrVoVxUKuqlSpgmgpmPUoA+6+++6yViEnolU6hCcdeeSR+BVP4kAqSGjWrFn870r8wWWgMCYhYVuHuAkrVqwYN25c2+x/irt3745okVu1aoVraR327t378ccfL4xJSPjFEY4q03fu3Llnz548s2/fvkOGDOnRo4fDoUOHIloKvgEDBtApjElISPgXEOXQypUrEar58+dPnTp1zJgxiNaIESNGjhw5adKkiRMnOiRcc801hTEJWxvEVa0H/eWXXy5evLhhw4Z16tSpVatW5cqVd9lll50zVKxYUSVwySWXhHLZQSJapQM32rhxIzcqX748T9p9993jxysxrnr16gkfn376aRZVilEYk5CwlUNY5M/FJWqGVatWLVu27IMPPvguQ35q3bp1UqnitUuXLu3atevatWuvXr1aZ8g/Q3juuecyGLsj7ZGEXxjhqH/60584JzbFLTt27EjGtSZPnqzlsfoxrhdffLEwJiEhoZSIjUYQ5AMyxTHHHDN79my0yhYbN27chAkTRmUYO3Zsjx49ELDDDjts7dq1+diErRQ33HBDz549q1atilkplRGt3XbbTUsWci+++GL+UFAtG0hEqxTgHPa/9sADD0SuID51SlBB1q1bd8qUKfGOVqgVhiUkbM2InMef4eOPP7700kv5/95773344Ydff/31n3/+eXFW/J6J4VFt27YVZNu3b9+nTx/ps3bt2g0bNsS+9Ddt2nT+/PnUwmAICQm/GHidlt9OmjRpjz32GDZsWP/+/Tt16oRrjR49Wv3Xt29fnWq+VatWxZCEhITSIjLCypUrzz///PPOO++zzz7bsGHDJZdcgmVNmzYt+yet4h95X7BggcPhw4ePHDlyzpw5SNdzzz1nIFZWMJSwFeLll18ePHhw9erVd9555x133BHLKv5BjF131SPSPvzwwxGHyw4S0SoFwjmEANEBudppp520tWrViu+f1KlTZ8aMGWvXrqUmyqQiMmHbQPiz9ssvvzz22GNlykWLFu27774HHXSQkvSEE06IX9oMndtvv72oqKhjx47NmjWLjwvGR7TtERFWjwI3zIZ+yAkJvxg43lFHHTV06NAxY8Yo9bSKPHRLDyj10K3FixdTKwxISEgoJcR2tdCpp566ZMmSmTNnHn744VddddXRRx8dbxfHKxr23f777z979uyBAwdOmDBh77337tWr1w033JBSw9aOV199tV+/fmrj8uXLlytXTluhQoV6Gbp06VIGP5WdiFYpYPODKCAZ16hRo/inBrMfG6xcuTIH4lVjx45dtWpVChMJ2xjCn2+55RZJUco88MADZ8yYsWDBgoULF2JcF1100ccffxxuf99993Xr1q1Tp06IVrzNq61WrVqTJk26d+/esmXLcePGpe8xJmwucDmOusceeyj14mfce/fureZzCD179hTDe/ToccUVVyTnTEj40bB9Xn75ZSzrgAMOwKCCR0kZRUVFskCrVq0IGJeEMmXKlDFjxsgLe+21lz140kknFSeGDAVbCVsbnnjiCVG0Zs2aO+6440477bRLBoe77757mzZtbrvttrL2cBPRKjW4yJw5c9AqXEsFiWhpyTB58uScaJU1T0rYVhHOzKuPOuootSknlxqnT59OmDp1qr0wZMiQffbZ57PPPqPz4osvdu7cuWH2f/ASKn7VoEGDkLGvLl26SKWvv/46TUh7JOEXQDhwgNfpWbRo0ahRowYPHqwa4JM8tk+fPso+7q3mc/j444+HZkJCwo+A7XPzzTcjWocccsj+++8vTSxevHjmzJmRFLCsIFpyB0ycOFEq0Q4bNmz+/Plff/117NaCrYStAfkj0950000etJJ4u+22q5hh1113rVKlCqKlcvj4449Ds+wgEa3SIfOlv8jTfKj4S1qVKlWvXl0dWbduXQXlyJEj33333VAL/YSErR3h8xLnhRdeyPP32muv+AuUQYMGyYt8fvTo0ePGjXvggQe+++67t99+W3/z5s1l06ZNm8qm2kaNGumJVzHbt2//6KOPsgaFCRISfk5ENA4fBl46a9YsTst1Mau+fft269atV69enJnrjhgxQvvQQw/FqISEhB+BNWvWHHvsscjVvHnzcKf4atbkyZM7derUuHHjhg0bKplkhI4dO6JbFJwdP3784MGDu3fvHkVUShBbF4qrhAwbN2706BXGyuP4glblypVxLYIW6xaBqRWGlQ0kolU68A/7X57eaaedwoEwLi5Vq1atatWqjRkzZsWKFZmzFaMwJiFhKwefX79+/VVXXXXooYcedthhcidmNWDAALWp1ChTypEnn3zyiy+++P777x9++OHYVLyR1bp16yBdzZo1k1kJ7dq1u/rqqws7JO2RhF8EBW/L8OWXX8Y/FONXWBaupbYDQvze9Jw5c5YtW0azMDghIaGU2LBhw1lnnbXPPvvMnj07SBSWJWv0799fUogvXCi7i4qKpk6dio9NmTJl0qRJQ4YM6dmz5xtvvMFC2oBbFzyv4tex/uM/Pv30U09TSVyhQoVy5cqpk0F5XKdOHdUyryiDv3SSiFbpUJyo//KXmTNnIlrcCHbdddeqVatGNanizL+sAoUxCQlbOTjzunXrTj/99FGjRsma/H/s2LF9+vRRp0qNKlSy2HrRRRetXbv26aef1mlHSKhdu3ZtmEFd26hRo6ZNmyJgQi2DsU0KEyQk/GwojsXZD2a++OKLN95445FHHinrQ7169fD/Htk/aA0YMIDTYlkKwXnz5n3zzTfJORMSfjRsn2uvvRZ3mjVrFiqFaE2YMAHXkixUSnXr1lV224AdO3aUSuw4fIwCDB48WB6RHQqGErYSeOLFNOs//uP5558XVAXYSpUq7bLLLtFGvFUVvPTSS8XhuIxF10S0SodwJoXmb3/7WxSrfPnywdeVkvXr1+/evXu8o0WnrHlSwrYN/iz/KUbHjBkjNQ4dOnTQoEF4l70Qn60fPXp0vFj19ttvk1u0aIFo2RG2hpyqoi3+VH5RUdu2bU888cSNGzeyaZuE8YSEnw9c97nnnjv44IP5bXwvq2bNmko9Ebt27dq1atVq164doqUEdBbR2mOPPTZs2JACeELCj4btc8011+BXMH369HHjxuUf1m3atGmN7LfE7MGW2Xd3+/XrR8H2lFywsuOOOy7tvq0OHlngwQcfbN++PWalMC5XrhyWpU52WKFChTZt2iBaZTDvJ6JVCoQbEQ455BDeU7Fixd13313OVkdWr17dYbdu3T744INcLSFh2wB/Vnoef/zxiJOSdEL2R5OIlsJUXpwxY8acOXNmzZp1zjnn0HzrrbeGDx+ev6MllcaHBh2CELx48eKvvvoqzIb9hISfD1I77sRjo9Tr2bNno0aNUCxu2aBBg5122qlevXo6gQ4sXbp0/fr1yTkTEn40bJ/nnntu7ty5GNSkSZO00L9/f1mjXbt2ym5Vk7K7VatWzZo1s/WcRbScnTdv3n777bdx48a0AbcueF7BoG688caioiKPOH7bfeeddyZUqVKFgHWvWbOGTlnjWololQLhSdqTTjqJ02BZyFWlSpVwLXVk/fr1e/fu/c4776QAkbCNIdz+5ptvlg7HjBmDaKlZ4/2BESNGoFXTsv+gPOKII1auXPnmm2/Onj27adOm1atXl00RLYUstGjRAstCvaZPnx7fgUk7JeEXwOWXX67U45/xYVd1Hm+sVauW3B9f1xa6uaVqj1q/fv0uu+wyo5JzJiT8aNg+77///qxZsyZnf1U3ceJEuUOmGDhwoA2odgLbMD5D2K1bNyU4zZHZTyuhZ1999VXagFsXPC91AiiPZX+Pdbfddttpp50E2AoVKnjQNWrU2HPPPcvmT0omolUKhCdpzznnHN4jUnCgaBs0aNCoUaOhQ4d++OGHmRcVozAsIWErRwTQ1157TRbErIYNGxY/gBE/HjBo0CCH/fv3nzlz5nXXXbdixYrbbrsNrerQoUN8btDWKCoqat26tR6FbI8ePf70pz+FzcIECQk/KcK1BOFVq1YdfvjhfBXRQqV4IM9UAVSuXBnR+vd///df//rXyoIuXbrgYNOmTePPDz300HfffZecMyHhR8MOWrdu3RlnnIFlARIld+BagwcPttfkhXiRulq1arJDnz59nLL78DEJQjm+du3agqGErQSCrZiJIe+9995Vq1aN3y8oX748rlW9enVPuVatWnvsscfnn39OLSuQi5GP/VvCtoFEtEoNHnDZZZf95je/4UYSNu/J/WnChAnxmZOUpBO2JXBp+PDDD+fOnTtkyJBRo0bFC5BRv6JbiJYKdcaMGYceeuhHH3306quvNmvWrHv37s2bN7dB6tevH29ntWnTxvBOnTrhYwwWrCck/NTgXRs3blyzZg2HVOFNmTJFi2jxQLWdiC2AC9rbbbfdr371q7p16yrvOnfuPGzYMKXem2++mfl78s+EhB8J2wfXeueddzAo2cG2mjVrlm0od/Tt21d2qFOnTpTj9qM00aNHDwklvs21YMGC+ApGwVbCVgKPzIMTRXfffXcxVkm8884777LLLvE+RO3atRcuXBh/ohUPNwQIOQiYNoTM5DaCRLRKh3j8d955Z8WKFYUJ/lS5cmXOFN/XUnTGz1VxlNBPSNjawZ/DpVWuF1988eDs99zjdcrhw4eTAX0iy6aLFi0SanGtli1btm3bVoRt2LChCNukSZP4zff4f9izzz47zBbmSEj4SZEl6/949NFHR4wYoYBT4fFSvqekq1SpknC9/fbbK/J22GEH1QC37N69u1Jv0KBBc+bMWb16dTh8wVZCQkIpEeF95cqVuJO6aMKECYsXL46vSvbp00fZXbdu3aZNm9arV08hDgQEjObIkSNllpdfftnwgq2ErQGeV1Br+T3+90h09WTLly8fDxqjPuCAAyK6lkSMLSkEMqvbCBLRKh0if991111YVvxsZbgUN6pZs6YadMWKFRS2MS9JSAivfvbZZ6dNm6Z4jV/sRa5QrKBeilQ58uCDD5ZcN2zYoLpV18YXtOTUxo0bI1rt2rWTZXv37k0t/d5Aws8HrsXBTjjhBF6qblPDdejQAaGS7PErRCs+zRJftW3SpEmnTp369+/PjQ0xNlCwlZCQUErEDlq+fLl8MW7cOPwqfjDJFhP/i4qKqlSpEqkh/lBLEeXU6NGj5RHK1113XcFQwlaCeOL33nuvMOuZCrBBtHbaaac6deooj5s1a3bmmWd+/fXXuTJs3LhRafHFF1989tlna9as+fbbbylse7VBIlqlQDx77cMPPxwviO622278qXbt2nxL4OjZs+d7771HIXGthG0GPDnAq7/55ptzzz1XysSj0CqMC8vCtRSp/fr1U8469fjjj1M++uije/Xq1bVr1/idd1DLUqAmlS5YsGDVqlXUCnMkJPzLyJy0GBxV/v7ggw8UdhMmTOClIjM/jApA+i9XrlwkftEb6tev3759e3yse/fu3Duit7ZgNyEhoZSIHbRhw4ZjjjkGfYrPO8gaU6dOlThsRuTKfoz/1FJB7b777vZjvHJHbe+9944PB0HBYsLmxnfZHw3HQwlEP5A97rVr1x533HFVq1b1cMuXL69I3nnnnQVbPbVq1WratOmee+555513vv7662+//fZrr7123333XXjhhaeeeiqvQL85xtjsn2P233//F154IeJwoDDNVotEtEqHePbPP//8rrvuKjQg61ouhXFxpnbt2r3xxhvbhmckJPwQHPupp56aO3eu+nX8+PHjsh+SUqGKjwSHiNbll18uR1588cVt27bt0qWLEhbL6tixoyq2T58+9gi6Zbg4m7ZJwk+ILO4WWNa6detOPvlkbjZq1Kj+/ft369atefPmdbL/SI3vaNWoUSP+mSPe5mrUqBHNfv363X333WEHCnYTEhJKCUW5HWQzfv3113/6058OPvjgPfbYY/78+TKFNGGj2XRVqlSJf1mwExXickSPHj3U2cruwYMHq7IYyavtgt2EzYR4ENF6LlL8ypUrH3nkkZsz3J5h3333bdOmjao4vqC14447auObNRDfx4vvESBdqgJ8u3LlyirncAaoVKlSfMqAM1x77bXffvutGQsr2JqRiFbpEH725z//+Te/+U316tXxq6BbfIiLKCLzL1JDYUxCwrYCXv3QQw/Nmzdv8uTJkTJHjhw5bNgwLIsQ725NnDjxueeee/3110VSnCq+GNOhQ4fOnTsXFRW1bNly0KBBCt/zzz8/7ZGEnxwRoq+66qqBAweOGDFizz331Er/PFA9F3k9XhqT16MmQLokfsUfzWeeeSZSe3LOhIQfDdvHPorNqCg64ogjZs2aNX36dAlC/Mem6mV/saB8igrbTvzVr35lJw4YMGD27NmI2YknnhjDAwW7CZsJ8RQ8ka+++ur+++9funSp5O4hKoM9RzwKYVYDC6dC6y677IIvBdcCh3mP2EtNG0EY4k0LkTnGlitXjuBQ5fDWW2/FvIVFbLVIRKsUiEcO5557Lm/gClyHZ+ywww6Sd8OGDdM7WgnbPL788stbb711xowZ8cl7LEvuDKI1ZswYpSoOFp8N6NWr15QpU9Svqtj2GVCv7t27U0O6lixZkrZJwk8I7hSvo7/zzjsLFy7kmbxReafliriWmqBChQq1a9fWSvOyu/RPkPhVDJ06deLD7733nmKCtWgTEhJ+BPI3o7QffPDB3Llz5QUpw67USgE1a9Zs0KCBAl2ZDrahaqp+/fpSybx58xCtPffcM/9z25QpNjviKWBZp512WteuXVFi9DjoE8TXsXAqwvbbbx8US5GsDXKFO2k9blE3Aq8eMFbLlBKaplMcI14LUzm8//77Jt0Gnn4iWqVAPG/tMcccE54RHsMnGmVo27YtCh46oZyQsI1h48aNitH99tsv/gR2/Pjxo7M/L5Y+p06dKoOecsopGzZsWLlyJRqmX42LYqliO3TooNjt3bu3VCpS77HHHunPUhJ+QkTIVeGdd955yBW3RJy45eDBg9H7Zs2aoViVs7/PUiVE9CbrwbvUfHxy0KBBDzzwQLC1FMATEv512Ec21C233DJjxgwpQ4KYNWvWxIkT69WrZxtWr149Ps1rD5JVUP3795dHsCztO++8w0IiWlsCPAXP8fbbby8qKlLxCp6emhaCU3mCBCxru+22I+RApRTJgEeR9ZAxLvxqt+wTYQZqK1Wq5FCIjs9yO1y4cOGnn366bTz9RLRKgeLcm2Hu3LnBzsNR+IS0rW3durUatKCdkLAtIrYAHnXZZZdNmTIFa5IaAa2SRJcsWRJ/gYJrzZ8/v18GLKtz5859+/ZFtAiUsS/p9vnnny8YTUj4KaAUgNNPP33IkCEoFt/r06dPly5d6mcQpUXsmjVrCt3xSZUo7+rUqRPfGVAIfvzxx+xs3LiRD4fNhISEHw37yJZcvny5ZDFt2rQFCxbst99+I0eOtCsbNmxYq1YtrT1oM9qY8dmH0aNHz5w5U/vcc8/F8IKthM0HT8GzOO6441S8omhEzkaNGmkxqB122AGDwrIIIZcEGgZxChTPqmVBGOOK4pkcMdkhg9oWLVrceuut28zPDyaiVTp46oBo8Z4gV9wiggXPa9Wq1YcffkgNCw/9hIRtCeH/EXMVoxdddNGMGTMkxTlz5uy5555HHHFE/FgQBWf32muvjh07tmvXrqioqFu3blHyoltjx451OHTo0HvvvbdgNyHhp0D43mmnncbNFHPDhg1TrvE6IbpBgwYqOVG6Ro0aWnKVKlUiu4vk8QvvPJZjx2uoqbxLSPjXEZniiy++OPTQQ2fNmrXHHnssXboU6bJD7UpVexTWtqRDhXuvXr3Gjx8fL+EptWMbpoJqs8NzhMMPP7xatWoeGb6EJhEwZCRKPRwkCumCjF79J3KW5VSQNFzLcP16GKxbt65WZK5du3a9evW0J5xwQrzatW285pWIVumQOdtfDjnkEE7DYzB47gJBupo3bx4v50NhQELCNoTw7ahEYcOGDcszrFy5Urt27do4C+Ij6tW6dWssy76Ijw7iV4MGDZJBBw4c2L179zvuuKNgNyHhX0b43kcffaRQQ+YnZIiSrlmzZo0bN65fv368aIpiqepUCXpatmzZokULZGzIkCGLFy9es2YNI2GqYDchIeHHojhPZJAdLr744mHDhs2ePRvdGjp0aHyCV2FtP2JcYJ/qj9+zHTly5NFHH12cS9JHB7cAeAQeBP4jkNapU2fnnXdW/UKQpWBTWsVwfD4wR1Cs0Ayd6DRKNK5YsSJa5bkjbPGJxKZNm4rDKop4PTdQWMRWi0S0SgF+pvX4jz322O22245PcA5pm2PxGwKPefTRR7lFaCYklE3wf9vkqKOOCn4lNLdp00Y526NHj65du3bs2LFPnz7K35NOOil+v9WWSW8gJPyLiMC7bt26pUuXDhgwAKWPnzjjddi+4CxEg+weL6kK4IhW27ZtmzRpwif79+9/2mmnFWwlJCT81HjjjTdmzZo1Y8aMRYsWTZ06VUaoXr06rlWrVq1q1arZmF26dBk7duyYMWOwrOHDh++1117oWaqmthDI0ZdffnmjRo08KcETU0KftBAMKirhIFSgJ04F0SKLukHDtPoRbMSMICwz2LJlSzz87LPPFsO3AXJVEololQ7x+C+55JLf/va38VVOkLb50G677aagvOmmm8QF2MYcJSHhn0TUu3D99ddPnDixd+/edTPEp7ME03bt2nXu3FkFLKcuW7YsbZaEnwrheA888MDcuXOHDh2KOyndWrVqVfwNrfr140VThZ1YHQIC1qZNm6ZNm3bv3p1PHnzwwQVDCQkJPzXWr19/+umnT58+fd68efPnz+/Ro0eU7EopNbcdGj9aqx0/fjyiRXj//fdTgtgSEI9g+fLlErdH5nmpe4M1YUp6QgBCvK9VzMC+f7MLcC39wbLoN2zYsFevXtzgsMMOw98ef/zxDz/8cM2aNegcbGNPPBGtUsCzDyBav/rVr6RtTqPlTHyI3KBBg1tvvbWglEJDQplEwfv/8pdXX3115MiRjRs3jt8RQrHUsopa1W2fPn369esnzr788stRHNMvjE9I+FHgQuFLX3755cUXXzxz5kzux8169uyJTSnmpPkddtjh3//93ytWrFgnQ/v27Sn07t2bwDNPOumkgq2EhISfGnboypUrjzrqqDFjxsyZM2fChAn1MkgQNmPXrl3jl98HDx48atSogQMHdurU6bLLLouBYSFhc8EjABTozjvv3H///YXN/P0orTJYaP3tb38bHxFUDKuKESoIZoVRDxkyZJ999jn11FNvu+22Bx988LXXXlu9evWGDRsi+0NEb4jDwsTbBBLRKgXi8fMDWZwb8S0utdtuu5G5Gk+SquPHAEKzMCwhoSwhnB8+/PBDydKmGDp0aMeOHbt06dK9e3clr6IWxcK12rVrd9FFF2WhNRGthH8V4XVAXr9+/b333nvJJZcceeSRw4cPx/YjYletWrV27dotWrRQwwW5atasmQqvefPmnTt3fuaZZ8JUQkLCTw57U6i3N5977rmlS5cOGzasSZMmqnBcq2fPng5t1QEDBtiPUoa6HOk66KCD8k2dsBkRjyAytXbNmjUY1+zZs4XNDh06CKo1a9bc7nvkdAsqVKhQsWJFj/XZZ5/Nhxc/0cxg3obgVN65LSERrdKBH8AVV1xRPvvVFEDrOVONGjUEC9n6oYce2va8JCHhR+Drr7/ec889a9WqJRZDq1atlLZt27bFtVS3SJctc8wxx9hQWZhNuybhJwN3+i77y9T3339fNRA/fYlcEVq2bBnfGNSDgOlR5HHO6dOnr1y5sjA+ISHhp0YEeRtTa2M+8cQThx12mDIdp8KykKsgWn369Bk1ahTB4bx589atW5eNTtgiEA8xsja69cEHH7z11lt33HHH4sWLK1WqhF/tlH1cMHs3q/iLWFhW06ZNPcf454yyiUS0Sge+Bffee298q09bOfs/Fo5VrVo12fqxxx6jFl4YQxISyizOPvtsREs526hRoyZNmgi4BNAjm9auXXv//fePPQWFMQkJ/zK4kyAMy5YtU8Yp5rp06dKtWzf8qmHDhhg+J8S4+KG2Y8eO+L8674033iiMT0hI+KmRx/n4Eg68/fbbo0ePnjp1Kk6FawVs2PhvhokTJ06ZMmX58uUxPGFLgKeWP74odLV6jjzyyPjFC8XwDjvskBMt5XHdunUXLFiwdu3agomyh0S0SodwrxdeeIH3YOrxicEKFSoQatasiWi99NJL3K6gnZBQhmGn3HHHHZ0yYFkqWhukWbNmUfUiWg4nTZq0Zs2a2FaFYQkJPwXCqR5//PH4wCp+VVRUxP1wrfr16+Na0j+6hWXp55ODBw9W9hUGJyQk/NSwH6M0z4WPPvpowIABY8aMGTRoUPy9eC4MHDgQ+0K6Hn74YZoFEwmbG1HfeiLxkYGAwzlz5sQbWeXLl8evAqgX0lWlSpVp06atWrUqLJRBJKJVOkSAeOqpp7Cs6tWr41c1atTgXrgWxiWFv/LKK3QChTEJCWUSdsqTTz7Zs2fPrl279ujRI4TmzZvbJgpcta8aV1p97bXX0n5J+NHgZtpwoUD0E8IDeRoExYLsBwjrN23aVGenTp2UdPEFwnHjxq1YsSLGJiQk/OSIvZm3tucHH3xgA86ePXvEiBHdSkCy0N+rV6927dpdcMEFsccTthzkDxEwrq+++mro0KFKYkTrN7/5TfZuVvFPvW+33Xbx5dgJEyZ8+umnMbYMIhGtUiD3qnvuuQetqlmzJu6OrPMkRAvjUj7iYHRSXEhIsBGWLVs2duzYAQMGDB48WPps2bKlPVKvXr0mTZrIoO3bt9d5++23h3KMSkgoFYqDcomsDxs3bhSBCWL1RRddhFY1btw4vI6gxaz69u3LJ/v168cDO3TooLA74IADlAthMyEh4WdF1EhffPHFjBkz5s2bN3HixCFDhrRt2zY25siRI1Gv4cOHO9xzzz03bNgQoxK2KIixITzxxBOtWrVSBsebWuXKlVMhxw/FVa1atWnTpqeeeur69etDuQwiEa1SIEvixSTqrrvu4kwSNq7FhypVqoRlSefqyOeffz7UCmMSEsoq7ILXX3994MCBqlgVrXK2RYsWKl07pU2bNq1bt5ZWu3fvnl6wTPhXEJwK0KoQvv7667fffnv16tUfffTR5MmTuVnz5s3r1q3L8dCtBg0a8MMuXbrwyd69exP4p3ru8ssvN7ZgNCEh4eeEvWbnYlB77bUXTmUntmvXrnbt2jbj6NGjx4wZM27cuEmTJu277762sDxSGJawhSE+QCh4YlZo1Q477FC+fPldd91VSRyfIdTfq1evJ598sixH10S0SofiNP6Xvzz88MOIlsyNsscfFmPtsrhS8tlnny3L/pSQUBJPPPGEMte+6NGjR9euXZGrhg0btmzZkhxvI8iv5557Ls3EtRJ+HMRbyZ6gaHvnnXf+8Ic/HHPMMXvvvffxxx9/6qmnDhkyhO+1b9+e12FZ8fdZYjVX7NatW6dOnbjiqFGjEK077rgjOWFCwi+DKJPs3JtuuqlZs2bxV1rajh07yguRNRToI0eOHDRo0PPPPx+jErYoxEP86quvDj/8cOQKdtxxx+233x7FUhjjWrVq1UK0hg8f/u6778aQsolEtEoHjgWPP/54lSpVKlasyKt23313PH6XXXapXbt2mzZt7r333tApDEhIKKuwC77++uslS5bED2Aodlu0aNGkSRP1rh6ptE+fPgMGDDjwwANXr16dtkzCj0MWbovfO8Wv5s6dO3ny5LFjx8a/FSvdmjdvztnQKnRLfMbz48OrjRs3dqqoqIgfDh482NmHHnooEa2EhF8G9qzthmgtW7asfv362QsgdapWraqgUlzttttu2rp168oaqNef/vSn2OZQGJ+wBSCeyAsvvDB06FCPDBTDwbU8SrS5ZcuW7dq1u/LKK9etW1eWn10iWqVAOIrosHz5ciFAtsavEHehgYeh71zqnnvuyXwvhYOEso7YCLfeeqtoG1+PadWqldLWTtGSe/furRqeOHGiXJtq3IQfB56zZs2a3//+9/PmzRs9evSUKVOmT5+OaMVPXGBZorSU37VrV/EZ1+KKSroI4LhWp06duOKQIUPeeuut5IQJCb8MIjvAHXfc0bRpU7SqfPZnObKDmio+ItSwYUOnCPvss08opx26RSGeyFNPPdW9e/ddd90Vy/IQxVuoVKmSwliLKr///vtl/MElolUKxFaHTz/9VOaWsHmViMCZCBUqVBAU7rrrroJS4loJZRuxC955553BgwfbL6DMbdGihTIX9XLYNvvqc58+fV588cWUQRN+HPjYk08+Gd/lQLRmz56NZc2ZM4enYVCcrVy5cvEqGN7VunVrPShWfGVLxKY2dOjQI4888ssvv2SqYDQhIeFnRpYf/vLHP/5x0KBBiqj4yFntDDapVo6Ib8L37Nlz1apVckRKE1sUPI6vvvrq+OOPb968efzMYPyk+47Z/8rGQ+zatauCuYyH1kS0SgG+wrG0b775ZrzBHaEB4tODMvcjjzwSOoUxCQllFbFfNmzYcOCBBypw41+McC0sS4Ebn8LHsvTcd9998TWbhITSYu3atUuWLBk2bBiiNW7cuOkZJk6c2L59+8aNG4vMKoDq1asjXR07dtQj9zuMjxRiXDxzyJAhV155JXdNcTsh4ZdBbDd46aWX9t57bxmhVq1aSil7U41euXJlsp2rygJc66abbtq4cSP9wviELQPLli0bOnSoQKok9shQLJWwqLvrrrsizx6lmByvYZVlkpyIVqnBXd5+++14IwvRqlixIvfiVVxK5n788cdTLEgoa4gXF36I6D/00EPjo/aqW7SK0L17d22nTp369evXrl27q6++OhGthB+Hjz/+eOrUqWPGjJk5cyauNWnSpClTpuBOmJX6bIcddpD4lXE9evRA9fXgWsoCPJ9CixYt+OHs2bM//PBDvgoFowkJCT8n8uxw++23z50712ZEtOLjZ4p17a9//et/+7d/w7Lq16+v3Dr88MNDvzA+YTPBI4inEI/j9ddfl8Q9Jo9MMUwQb8uVK+epKYkVyaeffnpoxqgAOTq1oCcO4+y2h0S0SoFiT8nwxhtvVK9eXVzgWPG5QW2d7IvXDz74YOgUxiQklAHk4ZLnhxy7AHQeddRRzZo1Q6jQLQVuUCxCy5Ytu3Tp0q1bt7322uvzzz/PLCUklA4vvPACojVt2jReFIxr3Lhx8SlBmT5+bnj33Xfv3Lmz+Fwj+x8O/Ir7aXXyxmuuuYajhtMWjCYkJPycyJJDMa677rpZs2Z17dpVEVU5+/MlZVX8Wh0otFRWNWvWtLXL8h8xbVHw1EL46quvLrnkEtncA4r3sipUqCDe1q5dO8JvmzZtxOcYIsDGqBwRcrXfZb8RX+jdFpGIVukQnvHyyy9XrVqVP8WvrBDEAmjSpMm9994baqGfkFAWYFOAcBlCDhsBrrjiivikllb8VeA2bNhQjQsCca9evYYPH/7MM88UbCUklAZCbryLhWtNmDBhxIgRQ4cOxd75mCpNcN5555232247hKpDhw4KOIG6UaNGzjZu3Bjz79+/f/wZhn79AAD340lEQVSwO6S3VRMSfhkUMsRf/vLnP/957ty5/fr1szFr1KihOo9XsXffffcGDRrE+8/kli1bfvjhh/QL4xM2E8TJeArau+++u2fPnvEulkpYK9LiyQKsJyjGerJr1qyhGbVBWAAyhKkNGzZk0Xdbfp0rEa3SgTdoX3vtNUEh/jRACBAauJQ6sn79+vHz7qGWkFBGUBw1syi5evXq119//cUXX9SuXLny22+/tReeeOKJ3r17t8qAazXN0CWDgnjIkCGC9emnnx6mEhJKheuuu27MmDEo1rhx47CswYMHDxs2rEePHsKyCqBChQrlypXDtdq1a8f3ooarWbNm8QtjdeoUFRV16tTpzjvv5L2blAIJCQk/K6K2vuWWW2zeDh06VKpUyfZUrNu2oF6v/T0UWnZxfFyoMDhhM8EjiAcHN9xwg9L3N7/5DX6FaMW7DrtlP80vujp18MEHR1zd5DUsPRs3bsTBXnrppTPPPPO222779NNPt+GyORGtUiBzrWKoIxs0aCCFiwU1atSoWrWqWNC4cWO+df/993OXcMTCsISEbR28ff369cLlkiVL9thjj70zLF269LjjjpNHL7zwwn79+nXu3DnIlZwaP7TdsmVLcpw68sgjY9ekjZPwD5G7Cpx00kmTJk3CstAtFAtvHzRoEAKPUMn3u+++uzoA6UKoGjVqJFyL1fXq1RPAtTwQ+0K0ku8lJPySiO0Gjz32mP07fPhwm1QpVTn7hXfF+s4771y3bl07VL1uF6Nhl1xyCf3C+ITNhzxaXnHFFR07dkSu0OB4UysQH/WqX7/+BRdcEMrab7/99sMPP1QhX3PNNciVOiG+SSsgN23alA+89tprhQm2OSSiVQqEb8F7773XpEkTESHezkK3gKx8RNBTzk4oa/juu++uv/76iRMnHnDAAYsWLZo1axZ55syZWhWwduDAgShWjx49unbt2rp1ayyrbdu2at++GXQefPDBX331VR6UC3YTEv4aIsDyuhUrVkjYHGzUqFHa8ePH41q9e/fmbPJ39erVK1SosOOOO6rVZHSt0k0ZJ3qDQ2Ucz1TqcbnwvcIECQkJPzNiF69du/bmm29euHBhgwYNqmQ/MFgr+/lBlbqySn0VpMu2tbvliMLghM0HT020/PLLL2fMmKHuzbjVTrjW9hl22GGH7bbbTtTt16/fW2+9Rfnzzz+/5557li5dKtfXq1fP8/U0DSQgYyi0Q48e+ypMsM0hEa1SIAsLxdl9+fLlzZs3l7njB4Klc4w83ip9+umnU8JOKGvYuHHjUUcdNWbMmClTpmBWEyZMUPgOHTq0f//+DqdOnTpixIg+ffogVB07dlTj2j5KYXK7du06d+5sK40dO/aVV16JLVYwmpDwN5DRouKvVJ1//vmcbdq0aeF106dPR7S4Ge9SsYEsXrVq1cbZn2U3atQoyjhxG3TCIYccwnvZTL6XkPBLIt9uNuBll12miKpdu7aaO8puFAvdUrUr4h22aNHC1n799ddjSMLmhWe3YsWK0aNHx2PCsgC/guBa6HFRUdFBBx100UUXLViwoEOHDjiVTuS5cvaTJ+KwyIxugefbvn37bfh72ololQJZIi4mWh999BEfkraxrHiJNL5dzV1uvfXWUIPCsISEbR1ffPHF0UcfHe8njBw5UvxV+CJdqBeWpb9Hjx7IlWCqCLZ3hN1u3bqphuNn33v16mXU008/Xdg5ae8k/F3Ei1mffPLJfvvtx3MAy9JyvEGDBqnJGjRogGIp0XbeeWeCHM/r6tSpU716dadatmzpUGHXqVOnd999N6wxmxwvIeEXg32ntekI999/v82o8g6WFR8gVIKry23hXXbZxaFyS9VOPxBGEn5hFO7+X/6yevXqadOm4ca77rorZrXjjjvGe1mAdMV7kmIvBWTMMwUPlKzTWc8a18K4DFc/H3PMMdvwr0omolUKhHsJCoiWzC0WVKhQgfdwnXh9lHzVVVeFTmFMQkIZwJo1a5YuXarGVelOnDhR/NUiWoMHD473tSTRunXrypRt2rSxU6LSRbEQsLZt23bu3HngwIEPP/zwd9//bmHBbkLCX0NQo1dffTW+nYXJa/v169e9e3eeFtFYOpfvf/vb34rPSL5czgMRLQq8To7H9nns8uXLk78lJGxG2IDLli0bMmSI7akur1OnTrx+rRZXU2FZgHEp5ceOHRufHkx7djPCzReB165dO336dI8JWYq3szwgJXEwZDKihUQFMKt4iB6o1hA68VoYfaXCBx98sA0/00S0Sg3ewCdq1qzJUXiV0CAuRL0oed99990UAoUBCQnbOsTcww8/PP7CKD43qIRFseyLbt26tW/fvnXr1g0aNLBrCPEdLS1+RUG9S4Fw+eWXxysU6XWKhL8P0fWTTz455JBDUCxeh24h9gMGDOjTpw+natq0qUKtcuXK0r+YLDJD/fr1xWoeGN8PxPnxfL4Xf/OSkJCwGfHdd99deeWVSnAbtkmTJopvMqIVtbhCy44GmeL++++3/eOllsLghF8W+f0/4ogj5HHcafvtt8esAJsSeONVLU9whx122HnnneNRir0icLXsRw1oOoWAqaKLiopuv/32sFmYYJtDIlqlQL6xv/nmG6laLOBV3CjeBuVAEnx8R4tOKhYTyg6++OKL3/3ud8OHDx87dqzCV8nbu3fvvn37BtFq165dVLoCa+3atcl64rcxevbs2SuDw9NOO42plD4T/iE4yYUXXojPjxw5ctiwYfFR1cGDB/fv3x99ig8XKNFkcbyLd7Vo0YL7CdFaZ+NVcyyL/vLlywtGExISNhPUS5KILawEV02VK1dOsiDslkGJpdxq3ry5PXvYYYetW7dOBEiZYrMgbrvnBRdccAGa1KBBg/jsAO6U/RzG9hF7daqQPTuP0kPErxBmPfFBMA9Ua+zFF1/87bffMstgTLHtIRGt0iHb3cW/ZC2dI+j8CdHiRkBu2bLlgw8+yF3oFAYkJJQB2BFXXXXVkCFDVK4LFiw46KCDJk6ciET16dNHi0QpduvVqxevTcZHB1u3bq2/VatW8dZW9+7dlc42Tnx6sGA3IeGvYfXq1Yceeui8efPmzp2LYqH3gwYN4my8KH6mqG7durI4WsW1xOogWvhVo0aNuJ/s3rBhw06dOk2fPp3rJn9LSNiMiJJJe8IJJ6jIbV5bFctSlP/617+Ot0RqZb9Q165duxkzZrz33nuUZYrC+IRfEHm0JDzxxBOCrYflGW2X/ZUWlkVAuiDe4AJntYrkYF9K5Tp16pAF4WuuuWbDhg1hcxuOw4lolQL8IPDll19yEX6DlNv8PEYgqFatWpMmTW677bZtmJcnJPwtvPHGGwcccIDa98gjj9x///3jOzN4F4oVf0ms2JU70a14O0tN3Lt3b3Vw165dKTg855xzIuNCwWhCwl/Dxx9/vOeee06YMIHLLV26dOrUqVyob9++3bp1Q7Q4FT6vYkOoOFvTpk0JCjUFgbgNnLBZs2YdOnTA1pKzJSRsXkTMF/yvv/56OUIVboeqqXbYYQd1OUFpHu9u2d177LHH448/ThkK4xM2E7766ivht0qVKvGktMG1yAStOBzvbsVHDOLdrcoZWrZsed1115URtpyIVikQ4QCCaNn/OfhNfCglfgwjUBiWkLCtg7evW7dO3Nxrr71Gjhw5dOjQESNGaNW+6NaAAQOGDx/eo0cPIdhOsU1sliZNmrRp0wbjUhYPHDjQ2fnz58udaeMk/EO89957kyZNGjVqFIq1YMGC6dOnz5gxY/z48ZxN/uZLjRo1ql69evy0IE7F3xCtunXr6lfD8UC0v1OnTieffHLyt4SEzQt7MCL/Y489Fh9FU5GrzhXlCnTtLrvsYtvql1AmT578yiuvpEyxJcAjePXVV8eNG4cG75z9vms8NZQ43sVSG8dHBINxicDy/ujRo88///w333wTyyojbDkRrVKAV8Xe/uyzz+RvrhMhgJPJ5R0z/OEPf0ghIKGsgcNz+0ceeSTeWxg7diy6hT7BsGHDBg0apJOs9t1hhx1+85vfqHfbtWvXqlWr4FrxoS/xOuwUjCYk/A288MILc+bMwa/428yZM2fPnj0lAx9DtERjLXIVHxps2LAhWY7Phfh4Ia8777zzUqxOSNi8sAcDa9asmTt3bvv27RVX8TnzWrVqqd2rVaum1rJzbdtTTz2VZqqytgTEU8B7PTVPascdd0SxwPPCrzw4TxDX8ihxLY9V0L7ppps+//xzA+M7AmXkISaiVQrwiXCs5cuXy+U1a9bkPVC5cmUVZIMGDRo3bnzLLbdkzlOMwrCEhG0dvF3c/OKLL/bdd98RI0YoeeOHCuLn3bEsdEtrgyBa5cuX79SpU8+ePWXNpk2btm3bNv5Ty5D169cnopXwD/Hhhx8uWrQIvxo9evS0adNmzZqFpY/PwIt69+6NxqNV8eq4lK9ECwTREr25Im5//vnnp0CdkLDl4Pjjj5cd6tSp06hRI/u3SZMm9erVi6/0tGzZsk2bNmeddVa8E5J27mZHPALP4vXXX1+yZIlHhlnJ7/GNLIFXkazt3Lnz7373uz//+c8rV67MKVZYKCNIRKsUyPf2Bx98oECUsxF3FKtq9m8PtWvXlsLvuOMOOoEYlZCwzSMc3ga54IILEK34WBdyFZ8bxLUcklu0aGGb2DL2jlIYxRKatR07dowPEC5btixMFewmJPw18DSRdunSpZMnT8a45s6di2vts88+8+bN22+//fD8vn37Ktf4GwcTlhVqHE8bcvPmzdEwfOyYY45hqmA0ISFhc+OWW26RQWSEXr16de/eHdGyhVu3bq3isqNbtWq1cOHCyDWFAQmbD5GpozD+7LPPxGQRdfz48T169BBdZXw53fN6+umn4yXUQBnM74lolQL8I/Dhhx9K25UrV86+n1WxXPY32HoaN2587733FpRSsZhQZhDREx566KHhw4dPmDBh5MiRY8aMGTRoEKIVXGvw4MGyZtWqVWPvKILjX4+6devWtWvXnj17Sqv33HNP2jgJ/xD87bvvvnvxxRfPO++8E088kb8NGTJk5syZixcvfvfdd7H9Ll26YFNoFWerVq1azZo1CdpmzZq1b9++qKgIvR83btzFF1/MVMFoQkLC5sZjjz2GaKnR7VC0yratVatWmzZtsCw98sXUqVO/+eabSDeFMQmbCfEUAlEDIFQfffTRihUrVq1a9emnn37yySdr167Nz+ZCYXyZQSJapUDuKLynXr168Us4iNYOO+yw22676VFHPvjgg6EGhWEJCds6bIoIoA8//HB8R2vUqFFaKTN+GwP7IjRo0KBC9h/f0qdiF7NSEMerX7gW4eabb2anYDQh4W+ApyFahK+//vrJJ5/cf//9zz///HfeeUdS5z/nnnsuNlW/fn1cq1GjRjVq1OByyjUQotVq+ttlvxP92muvZaE6xeqEhC0CtmR82hyzslVt2Dp16rRu3bpnz57NmjUbM2bMwoUL4+fdU6bYEhDx07PQRkwOOXs+BXIVyA9jVDa6rCARrdIhHGX16tVSNZZVrVo1bfns3/QaNmwoIjz00EOhA4UxCQnbOsLhRdLly5efcsopKFZgwoQJ8c2ZYcOGDRw4sGPHjkpem6Vy5cq4VuPGjePHMALoVnxnBgp2ExL+EXhL/IFpltn/46OPPpo6dWq8HN60adN4LwvwLocEpzp06KBVzz3//POZuyV/S0jYIqBYX7Ro0cyZM0ePHj1lyhSMC2zVESNGSBD6J02adNddd8V+L4xJSNiykYhW6RBZ+dtvv+3UqdPu2Z8DVKxYUS4H5SPkmRsKYxIStnWEw0fme/vtt/fff//BgwePHDly3LhxEuTw4cMdDhgwoEePHtUy2C+NGjVCrlAvBXHz5s27du3av3//k08+OaXPhFIhj7Thge+88w5nQ6saNGiAVkVYJjdr1iw+SRj+1qdPH2Xc008/XdJCQkLCZschhxwyYcIEiWP8+PE26fTp07XTpk2bPHny/PnzEbBTTz3VTk/bNmFrQSJapYCNHXtbO2zYsAoVKuy88875j+EUFRWRX3rppVwtIaGMIHwevvvuu3Xr1l177bVyJOIUr0SOGTNm7NixEiSihWJVrFixYcOGmFWvXr26devWvn377t27d+7cuW/fvlLs2rVrC0YTEv4JFDwvg/Lrtttuw94xK3y+Vq1aderUCW6PbmkdYvjAOQ877LAVK1bEwIKthISEzQpb+LTTTps3b97MmTPHjRuHXE2cOFEGwbUIc+bMkUcOP/zwRLQStiIkolUKREoO2PM77LBD9erV470sbb169Xbddddbb721oJGiQEKZAX5VcPoMX3zxxfXXXy8p4leIlnwJtgzepcatUqVKu3btkCtAvbpkX9PCuwYNGkT/lVdeYaFgNyHhHyFKLli/fv0TTzwxZMgQbArRil+FRq4EZ4Ga1/G9+B1C4IEHHXTQhg0bUsWWkLDlwH68//77hw0bhmJpJ02aJCmMGjVq/PjxKFa08sjLL79MszAmIWHLRiJapUBsbFmZoIhEtGTx+FM2cuXKlStVqnTssceGQgxJSChrQLr4/8aNG1Gm008/XWocPnz4/Pnzg3f16tWrY8eOOFX//v3xq549e3bo0KFbt276lch9+/aNT3MlJPyTCJrE626//fZ+/frxpVatWjXJ/n4H3UKxRGly3ewPiwM1atRo2bLl4sWLjQ2EqYSEhM0Lm/Gdd97BpiZOnDhw4MABAwbIFPEanDwyc+bMJUuWkO+8885UZSVsLUhEq3SIlCypT5gw4de//jWKFT9Xvf3220vehEWLFtGhEPoJCWUN8l9x6Zrh66+/fv755y+55JIzzjjjnHPOufLKK5cuXdq7d+9Ro0bhVGriTp064V1kpEtm7dOnz4033lgwlJDwT4C/hctdddVV+JXKDN1C4Bs3bly/fv1atWrVrFlTf4sWLeLPDzEuvKtt27a8UaBOsTohYcuBjfz555/PmDEDy0KxhgwZIlkMzoBojR8/fuTIkfrja1qFMQkJWzYS0SodIiuLBYjWjjvuWKlSpV133VXyjh+tRrqWLFkSWT/0ExLKGrK6t3gL5K1ds379+g0bNji86667OnTogFZpsSwCKIvbtGkzevRoafXMM88sGEpI+CcQwfbFF19E1JGroqKi5s2bcy20qkGDBkG04h0trRDdqlWr9u3bn3766V988QXnzC0kJCRsdkTKOPnkkwcMGBA/pBR5Id7X6t69O6Fbt24zZ85ct25dYUxCwpaNRLRKgcjHqkaBYMqUKSgWohXf1KqWYbfddjvttNNS8k5I2MT/HcLGjRuffvrpzp07x8cFu3Tp0qdPn65du8aXtWTQgQMHHnPMMfnYGBVyQsJfhYC8atWq2bNnx58Rx4cG0Sosq06dOlgWrtWwYcP4yUE9yBgmduGFFwrUvMvw5GMJCVsI7Epb8p577hkzZgyK1bNnT4xLXoj/vpc1+vXrJ4NoP/roo9i5+f4l5HJCwpaDRLRKgdjD0S5YsADRgu233x7dqlixorZy5coXXXRRttnTbk9I+E/EpoBnnnmmdevWiBZyhWLhWvHbg3r69u1L3nfffb/++uuCdtpHCf8InOT+++/nQohW06ZN8SgtZhWfFUS0UKz69etnX85qSIh3vc4555ygWPG6WEJCwpaALOr/5ZFHHrGjhw4d2qdPH5wqPkY4ePBgWUOaGDFihJ6nnnoqlGNUtLZz2tEJWxoS0foxsJMXL15ctWrV3Xff/Te/+U358uXLlSunrV69+rnnnmu3S+EF1YSEhAyRBZctW4ZfoVVt2rTRdsxAVv7Ko2PHjp0zZw4dylAYmZDwt8FPXn755fnz56vJMKt69erxpUaNGtWpUyc+N6gVmfW0bNmydvY32Wq4O++8M8amsiwhYctBhP3XXnttypQpEyZMwLUQrS4ZbPAePXoMGjRo9uzZ7du3/8Mf/hD7N28ht5CQsOUgEa1SIN/GeNS8efOqVKmy00477brrrhUrViTEO1pnnnlmyT2fkJAAtkNUtCtXruzVq5esiVy1a9eud+/enb7HgAEDcK0RI0bES5UxKhudkPA3wUm++uqrs88+m/M0b9483rZCroJl1ahRg4B94WCtW7dulUG59vjjj8fYMJKQkLAlwJZUXy1fvnzWrFkzZ86UDvCr/v37yxTdu3eXOOJ3a8l77bXXZ599RnnDhg3x7jSk100StkD8LEQrPL5wsA0hrgts5rFjx8Y7WliWRF6hQoW6devqOeOMMxLRSkj4IWJTyIhHH300ltWzZ0+Fb1As6VMqRbRAZr3iiivSHxwlQB5LoWRcDaEkHnnkkfbt2//w7azq1as3aNCAv3E2LZbF34499tj169fHFDE85ISEhM2LoEziv1JKlTVx4sRhGeQL5KpbBjtdrWWz41qHHXbY3nvvbUc/99xza9asQb2++eYbsYKdlEESthD8vO9oZSls23H0uJbYvQsWLKhcuXLDhg3tdnl9l112sfOl9vPOOy9t74SEv4PrrrvOlpE1g2h17NhRO3r06HHjxk2YMEErccqXNG2lGJJQNhGBVAsbN2789ttv1VJPPfXUK6+8wjf0xCk6b7zxRr9+/epmQK7idy+0uFb9+vWbN2/etm1bLIvLTZ48efny5TEqISFhi0JePt1///1DhgyJvDBp0iS7u3///tqioiIbXLmlABswYMCcOXPmzp07ZsyYQYMGDR8+nM6SJUuef/55diBsJiRsXvwsRGtbdfG4qLi6gw46SCKP37lq165d/M57kyZN7r777ggTKZEnJPxVPPHEEy1atECuOnfu3KZNG60dFD/yjn317t1b7vz000/toLSJEuIVbu2yZctOOOGEQw89dMaMGfvttx+6FaE4dN5++22VFmaFU7Vs2bJhw4aNGzdGuoJxhb/p79Onz8UXX4yhhfGEhIQtChH24bHHHhs4cCCu1a1bt8gLhLZt2+6+++7bbbedcqtChQoKsNmzZ8+aNWvUqFH4GIH+yJEj99hjjyeffDJt84QtBOmjg6VGXNq0adOqVq1as2ZNNSKQca1atWpdd911cfkQ+gkJCSXxyiuvoFV9+/bt2rWrCjje0UK3QCrVP3ny5JUrV6ZNlADhBp999tmRRx6JYk2aNGnmzJnz588/6KCDTjvttPPOOy/+n+3111/v1atX+/bt1VsqraZNm8YHCIHQqlUr3sXTDjnkkC+++IJ+wXpCQsKWBHvzP7I3tZ555pn4VffIC1q7uF69ejvttNOvfvUrLKt27dp6pk6dimuNGDECxRIiBAchQnw49dRTw1TBbkLC5kP6MYxSIA8BYGPvtttutrqd36BBgypVqtSoUaNy5coXXnhhKEBhWEJCQgm88cYb8WPu8Wl7bZs2bZo3b96lS5cBAwYMGzZszJgxb7/9th2U0mQCH9i4cSNCteeeey5cuDA+XDp+/PiJGQiff/45nRUrVqjJ2rZt279/f4wr3tGK+Ix0BfjYlVdemYJzQsKWj7Vr12JQtnOPHj2CaEkQtvOOO+64/fbbq74UXTa4PDJy5EiJY/DgwdOmTRs9erRDIWLu3LkPPvhg/k8hKZUkbEYkolUK5HuVMHbs2O22285Wt+fLly9v8++eIf8fLQjlhISEkli9evXw4cPjt921kqgKWFnssGvXrlhWnz597r77brsM0j4qy4hA+uc//3mvvfbaY489sCzMatKkScop7YIFC+bPn798+XJ+gm5NnTq1VatWLVu2LCoqin8rrpX9VbHD+DBhixYtjjnmmDVr1oTZwhwJCQlbJO65555hw4ZJB/E/Wj179rTB1Vq/+tWvypUrt/POO++66642db9+/SQOfKxXr16UMS5JBN2aOHHipZde+u2336b9nrB5kYhWKRB7NYo/WX+HHXaoVq1a/H2Wtm7dupUqVUo/hpGQ8PexYcOGRYsWyYgSZ9u2bdtkf6iFbkmTeiTIRo0axf/RpX1UxiGWfvzxx0cfffTcuXPxqBEjRkyZMmXy5MmIlkPCnDlz3nzzTX5y77334mDt27dXisWHBoXlmjVr1qtXr1mzZmg8usXTOnXqdNlll32X/ucwIWGLx+eff26nDx06dPjw4b1798am7GV11//+3/8by0K3dtllF/saGRswYABNzIosSiBa47KfVpoxY8bTTz+dSrKEzYtEtEoH29WmhT333LNGjRpNmjSJXxCuVatW8+bNEa30jlZCwt+H7XPxxRfHq489evSwcTp37ty6det27dohWtKkWjn+JiF+CKEwLKHswdO/4YYbkCuV08yZM9GqefPmIVQQ/2e61157ffrpp88+++yBBx7Il0Tj+Hl3wRnXyn6DsG7Dhg3JYjW/Uqgx8tVXXxUmSEhI2CJh769ZswZ3GjRokKQwcOBA+cJerlixIoq1/fbbb7fddkiXzT548GBMzL7ee++9g2U5xLii3XfffeMDhAW7CQm/OBLRKh1iuyoB5ftdd93Vtq9atWqFChUqV65cv359wtVXX02HQtrYCQk5bIeSeP7552XHLl26xOfv27dvX1RU1KFDh7Zt2/br10/n/vvvv379epqF8QllCeKnlgPceOONixcvnjx58tixYxGthQsXzpo1a9y4cdOnT9e/xx57HHfcca+99tqCBQt4DopVr169+NwgxqUCiy/QBvWqXbs2nY4dO5533nnJrxIStnDYpJ999tm0adMGDBgwdOhQ+WLIkCFSRnAtFGv33XdXfdndffv2RcZmz56NaNGhOXLkyPiyln4R4+GHH85fs4vYkpDwSyIRrdIh36tz5swpV66cDW+341dQo0aNSpUq3XzzzSmLJyRsgnjp4b333nvooYfuueeec889V3aUNXv27NmnT59Ro0ZJkGSMS2erVq2mTJnyySefpKRYBqEk8ty//PLL3/3ud5MmTcKpFFsg5KqZOIZWp3bEiBHHHnvs2WefjUHhV9CkSRN1GE5Vv359bbyjVSf7Q62WLVvyLnY+/fTT8MbCfAkJCVsebNINGzb8/ve/79Spk53buXNnDCpehkOulFt2eq1atVq3bo1QYWI4VfCr4cOHkyEYF5xxxhnvvPNO/rd7UJgjIeEXQSJapUDsT60QMH78+J133hnLqly5cnxHq1q1ajb/Nddck23kYsSohIQEeO211/bdd98999xzxowZ6l3FcSRLGXTMmDEDBgyQQbEsaRXvkjivvfbaRLTKIDz0b7/99oYbbsCslE18Y8KECfFCNXI+ceLE/fbbb968eePGjXN25syZAwcOzH/3In/zKvgV3uWweQauBUcddRT7ya8SErZwRBH17rvvdu3aNfiV7S8IDBs2rKioqF69ejVr1lR3aZ0SCvTH2d69e9Mk6O/fv78AMmvWrAMPPPCNN95Iez9hsyARrVIgdj7Yq2PHjg2iVbVqVRSrYsWKu+66Kzk+lwKFMQkJZRuxHZTOJ5xwwh577DF79uzFixcjWopg+6VVq1a9evWSDrt16yYvkkENPXLkyHPPPTd9R6vsIPwENmzY8Mc//nHhwoXxXYsR2T/kIN6cRCGlnxfhV1OnTj388MNPOeUUDtOsWTO1F2al6sKykK5gXIWfdW/atH79+m3atOFyJ598suhtllRvJSRsybBJtaKBIGDvt23btkuXLkGl2rdvb1Pb6TVq1KhQoUKDBg0GDhwoRAwYMECsiJ9ZoknQSiVz5syZMmXKTTfdVEyz0sZP+MWRiFbpYJfG/h8/fnywrF122YWAa1WqVMmhxB9ZPNQSEso4bAR45513UKz4do1amaAsrlKlisq4bt26rVu37tSpU/fu3bt27SpHjh49Wo4866yz0q/DlR2EnxAeeeSRAw88cNGiRSoqLEuZpYRSLamZCPvuu++ECRP6Zn+eg2upn5RfLVu2VHghV0ouUIHVq1cvvqOFgLVr186p5s2bT5o06aWXXoqJIOZNSEjYMhEvtB177LHxvw69evUSBJCuNm3aNGvWrFatWpIIrmV3I1r9+vUblP1sRo/se780ka5Ro0YJINKNU+eccw5rGdVKXCvhF0UiWqVDlqCLM/TcuXPLly+/UwZCxYoVK1SosNtuu+29995pJyckBGyE2DIPPvigbKfSnTZtGq5FbtKkiV0Dto+UqSCWHWVQ2XHMmDEq6cMOO2zduv+fvfeMj6rcGre//d/nnKPSSe+99957JyGEhBCSUELvvYiIKIiIqGBBbHjsvfeCvYIFQRBQQXpvCYSE4/Ne2Ws7h+ccCwMJQrKuD/fvnj373rOn3Guta/aePSfNDSntHfmo1NfXUw/NnDkTLadmqq2t5aNCtWQ5NWjs2LH05WrOFE9YFopFvYVcBQYGyoEsOW9QDnPJqYPcO2rUqP379/MQUr2B+cCKolx8yAxltt53330kDrncKAGhoqIiPz+faJCcnMxMt7e3Z7KTNQYNGjRp0iRCx7Bhw5ArVoDBgweTcaqqqggmd911l/6nlvKXoKJlHUxRkahx48Yxvb29vW1tbakUme2enp64FkWkZR1F6cgYGc08uvvggw9SJWNQpElKZzIfJbL8vtHDw4MOU4nEyUJqaKCGJkdu377d3JbS3pGPytq1a6dNm0aphEdROfEZqKmp4dMiR7SoloYMGcLHQ77Y5tOSlJREsQUBAQGIFlolX3K7u7tjWTk5Odg7xpWdnf3TTz9ZFEswH1hRlIsSmbAff/yxKBbpg7BQXFxMduAmkzosLIzqy9nZmZlOrBg1atTYsWOpweRIOPZFrmG5BBCGfPPNN2xW575ygVHRsgKZn1I4Tpw4MTY2NjExkYyOX7m5uZHXSfCzZ8+WFdS1lA4OswBIlsyFFStWyLkcZDtSIJmSNOnj48PEYQaRLDEuZlNMTExcXFxubm5GRkafPn3Wr1/PFszNKe0a+bRQVI0YMQLRQqhGjhw5fPjwuro6jItKi+KJjwQfHvwqLy+Pz09CQgKfFqIucsVnCdGi8AoODsaswsPDuYtOdHQ067/88suyfQvmoyqKcrEipdTBgwcxpaKiIpICEz8zM5MWuEmmyMrKYrIXFBSwDsGBEEGgwK+IGGVlZf369ZOLlIp3ffTRRzr9lQuPipYVyBQVxo4dS0YntTs4ONjb2+Na9Mn3ixcvlhXMMYrSgZFMCd9+++24ceP69+9PAV1RUUFeJF8GBAR4eHigWM7Ozr6+vlTJsbGx1MdpBuRR8qK5IaUDwKeFomrq1Kl8SEaPHj158uQpU6bQp4SiYELURa4iIyNFyFNTU/nAyI+y5AcbBGF/f38+SFFRUZRi9LGse++99/jx4xqTFeUSQiYs7enTp+fMmTNw4EA5qFVSUlJcXEw0wKMqKyvHjx+fn5/fq1evUaNGkVkIFKw2aNAgOoBuDR8+/Morrxw5ciQJaM+ePZKS5CEU5cKgomUdTFGB9C9XvOnSpYutra2NjY2c/rRw4UJzDZ3MSodHshrtxo0bp0+fTmqsq6sj+ck3lDKDmDidO3e2t7enLKaMJmvm5ubS0n/44Yd1HnUQ+JAARdU999wj5w1KbSTVFR+bmpoayik+GOHGVQQRrfj4ePm2i0+OWBZLIDQ0lJv4GPdOmjRpw4YNbF8+h/JYiqJcErQUUr/8cvvttxMKRowYQWQoLy+nRbQwLjqjR4/ua/wii5lOTmFhH+M/tejTYQUE7Jprrrnqqqs+/PBD2Zq5aUW5UKhoWYHMUrI17ZQpU5ycnBwcHLp27dqzZ89u3bq5uLiQ72fOnCkrgDlMUTokMgtkOnz11Vfjx4+XE+X79etHGU12ZL7gWr6+vm5ubiEhIdTHsbGxOTk52dnZZMqUlJTbbrvN3JbS3rF8VI4ePfrqq69effXVw4YNGzBgAJYF4l033XSTXM+dj4qcGYhK8flBq/gsBQQEZGZmUmDJZQZphwwZ8sUXX7BZ2TKt+WCKolzcMGFlzoL8q97gwYMRKkSrl/Gni8SB0tJSVIoogVPNmzeP+Z6fn89CbrKQNVl/4MCBjJ0zZ87u3bvZoPzuy3wMRbkgqGhZgTHxzWpg2rRpWBaKZW9vb2tr26VLFxsbGw8Pj0mTJslq5hhFUf73f3/++efp06dXV1eTAhEt0mFUVJSjo6OdnZ2rq2tQUFBWVhblMh3SJ3mUcjktLQ03k5O+dEJ1HOTtPnbs2DfffPPOO+88/PDDCxYsePHFF/kIrVq1ipopNTU1MjIyOjpaLulOH0sXkHPKrIyMjKSkpLFjx+pv/BSlHbBr167Ro0cjWhXGtZTy8vLk3PKcnJyCggKm/NChQzdt2vTjjz8SKF544YWlS5cSKEqMXwLfdttt3333XUNDgwQWCxRybJmOPISitB0qWtZhmZxXXXUVeZ00T+vp6dmtW7cePXrgWoQDYxa3IEMURaFupmJGtCz/LEmh7OPj42v85ZH8LsvLy4upRPXMnEpMTExPT2fNH374geE6mzoaEkJbvs3+17/q6+tPnz69YcOGWbNmJSQk8PGQY1m0fHjohIWF0cHS8avMzMyYmBgKrC+//JItMNDcoqIolyZM5Dlz5vTv318udFFTU0Pb17ioEqJFp7a2dvXq1cQKCRpNTU07dux477338K79+/fLctmOrCAdPbqlXBhUtKxAJqdw/fXXu7q6IlokeDc3t06dOtna2lI4jhw50jKNzWGKovzv/27duvXGG28kI1ZVVRUWFsopXkwi5IoZJBd5d3Z2Zk5RMaNe1MqI1saNG3UqdSgkeAKBVGhubj558uSCBQuysrLQKkIuroVcyVdd6BZg7FFRUdg7C+k88cQTFFuyHXO7iqJcmjCLb7311lLjD4jz8vLy8/OLi4uRLqisrCShkClee+01VhN3EmSgYPnCRW4SVSwdWa4obYeKlhUYSd88ojVnzpwuXbpQIDo5OZHj5ct4GDdunExgkFGKogAzYs2aNVdfffXIkSMRrb59+6ampiJXTCJvb2+LblElY1nh4eHJycms89lnn+lU6pgYQdQsiT788ENqrIyMDJxKvt5CqJAuPifyaeFjk5CQkJKSgr1PnDixvr7eMtbcnKIolybM4kceeaR37944VUVFBcZVYFBiXA+DhbBs2TIpzyxF2pns2LFj9erV33777ddff71hw4ZNmzZ98803TU1NsrKitClnK1p8Ui1fFfDRBOmYd3cM5OkDL8W0adOuuOIKFxcXOzs7d3d3KkVcizLx1ltvZQV5fcxhitLhkVlDnrvqqqtIiuXl5dTNaWlpiBYwg5ydnaWDcVErx8bGUjoXFRU988wzLVPOwNyW0h4x32MDiZ8WTp06NXv2bDl4JX7l5+eHawUGBgYFBck5hPHx8XIUdPDgwWvXrjU3qijKpQ9B4P3338epao2/YcS4ehl/ag/kCFIJdw0dOvTIkSMSMcxhxsDm5uaPP/540qRJjJVr6pCDZs2aNW7cuIceeuj48eNnRhtzmKK0KlaIFi2fSDh06NDOnTs74OdSni8tL8LEiRM7d+7s4OBga2tLK7pFpcjU5d6O9sooyh/TEix++aW+vp6El5+fL2fYp6SkyKFgDw8PJycnXMvFxcXe3p6pFBMTw70ZGRmPPPIIE8py4ofSXuHjwRstfQmhsoS3/rPPPuvfvz9ahWXJ1dvpR0ZGYlkYV1hYGH7FcjHzVatWyVjZlKIolzpM5x07dpSWlg4cOLCsrIwO2SE1NRXjKigokEsRFhcXb9my5T/mPv3169dPmzYNy6KdOXNmXV2d/IUxSzC02267DT0jyFiCj6K0OlacOshHls/i5s2bX3nlFT6a9DvaR9OYwiZjxoy57LLLqA6pC729vQMCAnx9fdGt+++/31xDM72i/IqECybFddddV2n8FwqiVVJSEh4ejmihW25ubnJMuGfPnhgXy9PS0kiiCxcubGxsZGBHizYdDXmLm5ubDx8+vH379qNHj7bE0F9+2bRp0/Dhw3NycqKjo2NjY2kRLYyLTwgd/CozM5PPklw9Zd68eQyUT5q5XUVRLnGYzrgQdlRVVcVk79+/f1ZWFlM+NzeXNFFUVFRTU4M1bdiw4T8mPjeffvppzIqBkydPvv766wcNGlRRUcFGoLq6mhw0Y8YMyloijzlGUVqbsxUtUldDQ8MPP/zwxRdfHDp0iI+vYN7dMTCfs8Ho0aO7dOmCWTk6Ovr5+cnvTJCu5cuXc69mekU5E5kOtCtXriQvlpWVyfkepEm0Sn7rCK6urra2tkyl1NTUvLy8Pn36kEH/+3tKpf1BzDx48OCTTz5J3YNZ3XTTTZ9//vl3332HO/FhSEhIkF9hxcTEBAQEyL9mRUZGZmRkIFrZ2dncNXfuXHIT29HwqyjtCaYzk3rBggW4FoljgPH3eiJLxcXFhYWFtbW16enpcp65OcaAm//85z9Zn5Ay1mDgwIHyj/noFptiIIlmyJAhL7300okTJ8xhitKq/Iloyecb19+6deuXX365f//+0x34gpg8cXlBaOfMmdO9e3d3d3cPD4/g4GApFvGuq666SlYDc5iidHiYDi3177/+9fPPP48ePXrEiBEkufz8/KysLFEsGxubrl27Ojg4MJWYU2RN0idJtKSk5JNPPpFJZ25LaS/Ip4J23759Dz744Lhx40aOHEnpg4EPGzZs8ODBubm5csX2xMRE+e8suRgGIRfCwsJYzgqslpKSsnbtWrbGZqVVFKV9QIiAe++9d9CgQSjT9OnTSSJyyUE0ifggf7E1b968/8gU9G+44QZWQ6UILMAWuNmrV69S43+NGcV2aKdMmUIIOvNa8IrSWvy5aJ06dWqPAbrFzQ7+KZTnzouAUHXq1El+lxUQECA/L4Hq6mo500nWVxQFmBHAxGF2PPbYY6NGjUKiSHXkSGYQooViiW5169aN2SSnhRQUFNC+9957MtzcltJekI/EsWPHFi9e3LdvX4onqigkvKamhsqJJchVXFwcHwM5ooVZBQYGolt8bFDx+Ph4LEvOKrRcc0w/KorS/mB2P/vss4WFhXV1dcOGDSN9xMbGEh9IEFlZWVVVVeSUsWPH7t2798zpT/+JJ54gnhBVJk6ciInJecglJSW9Dfr160fNRksygptuuunAgQMSSRSltfgT0eIDB/KHJHRaMpjRMe/uYBgvhpnLb7755s6dO3t7e1MgkvtpPYw/AhowYICKlqL8B0bkaJkUtCdPnsSdqKrJf+Q8dwPkiklkb2/fpUsXf3//tLQ0Mmh+fn5ycvIbb7whA40tKe0HwinR8plnnhk4cKDl9J7JkydTFY0fP768vDw4ODgmJiY1NZU2IiKCugrd4iPBxyY7O5sPCQKGj7EFPlTyi3bjg6YfFUVpP8i8/uKLL8Sp+vfvj2VJZBg8ePDQoUMrKyvpYF9vv/32mdOf/po1axAzzIp1xowZM2TIEPwKYevTp0+ZAaIFtbW1rEMUWrlypZ5DqLQuf35ESzBvd+xyx/Lc6dx2222XX355QEAAcuXn50eliG7hWpSPlnwvKyuKAswISx1Mh/w3atQoVIpZ4+bmZmNj4+Xl5ePj4+joKJZFJU1apZJ+8MEHZZS5IeVSRt59eTfr6+tffvllyiCqHDmKRc00YcIEjKuoqCg6OpoPQ1BQEJ8HsSxaSquMjAyWxMXFxcfHI10PPfSQbFO2L+inRVHaDUxn2Lx5c79+/eTsQYyo5Rdafftyc9y4cSNGjGBhr169ZsyYcebcJywQZG644QbiRmlpqRzFQq7krHX5fRdLuEsus1FRUUFWev311xkr2zlza4pybpztxTCU/+C+++77xz/+QWno4uLi6+tLpUhB4O/vf++991rKCEVR/hsmiJyHvGnTpvHjxzOJnJyc7OzswsPDQ0JCoqKi8vLy5HCW/DJnzJgxsr45XrmU4X0UKTp16tRzzz137bXXTpw4kfqGWgfXotypq6ujeAoNDXU3TsxGt3JycixXGkSuMHA+GykpKdxVUFAgP+GTbSqK0i4hbhw6dGjkyJFyJAopIlaUl5eTKfr37493cRMNI1mcPHnSHPProbDPPvtMfhg8ZMiQoUOHEmqKiorS09MZSwCR0wjZSHV1NRvEvtj+m2++yUDQwKKcPypa58gjjzzSqVMnPz8/Z2dnWipFOlQGL7zwgsxPMFdVFOUMZHaQwE6fPr13796pU6eGhYUxd4KCgpKSksh/sbGxycnJWcYFfKmwx40bJ+ub45VLGSl9aHfs2HHNNddMmDCBIklOHaTcQaJoqaIIqh4eHt7e3r6+vshVggFmRcuHJCYmRgRs7ty5DQ0N+vFQlPYNExymT5+eb/wNI4EC4yJWpKamZhp/8MDCmpoafOngwYPmGANGNTc3r1q1atCgQQzBxxhF6CC/yBnISBdgX2yEFiorK0eNGrVz504yFJgbUpRzRUXrHLn77rttbGzi4uI8PT0pBRyMfy62t7d/4403mNjmSoqi/BekLipjkh8zhc6mTZvKy8vlAEVERATSZbmQNyBdEydOZDVzsHLpI+/m+vXr5SJgtIMHD6a4ycvLk/N5EOyePXs6OTnJX2jwYcC1CLZ8PGj5hAQHB2dkZNxzzz2HDx+WSkhdS1HaMZIs7rjjjoKCApyquroarSopKcG7evXqRQYhjBBD0tPTt2zZYo4542udEydOPPDAA8QZVu7Xrx9uRrQBhrMROa6FYuFpbEra5cuXHz9+XFOPcv6oaFkBU84y6+666y43NzdKQ0dHR29vbxcXF7kYxuOPPy5z27KmoihnwtSQmpgOVfLRo0dHjx6dlJREPR0ZGRkaGopf0QkPD5frdw8fPlz+H0mGK5c6vJUI0qJFi6h4hg4dOmTIkL59+1IAUfSgT5RKRFREi9D6P//zP15eXnwGUCw+Idg4KyBjdKir5Ppglo+ToijtkpZyyuD111/HggYOHEjoIAL0Ni5rgXeVlZXR4lEo0zfffMOaMurMsZs3b54yZQo2RbSRY1kEHNEt+sQflsvxLiyrj/EXjs8995x8LWjZTsveKIqVqGhZgcw04ZZbbunUqZOnp6eNjQ1lAZYVGBjo5OR03333mWvonFSUP4NpQpVMzY1fRUdHY1a0sbGxUljHx8enpqaSAt977z0tptsHvOPHjh1bsGABdcyIESPkShiUNdQ66FNISAhmRVB1cXHBtbp3705c5fPAhyE5ORkDj4uL4yMxfvz4jz76SGOsonQEWsopg9WrVxM3ECGSQkVFhZxmDMXGn4UQFoqKim699Vb5/kUwN/G//7thw4bRxr9vMRbwK4ZkZmYiXSUGLGRTYmKYG50JEyZ88cUXTU1NbFC2aW5LUaxBRcsKZJrJfKM07Ny5s/w6i1LA2dnZ19cX3XrggQdkBVlZUZQ/hpny+OOPJyQkVFZWYlaIVmJiIiU19TS1NX067777rrm2conD203tQlkjv6mg7devHyVOeno6b3dwcLCDg4Obm5u0BFUW4mDci4bRDw8Pv+WWW1A1I8TqsSxF6RCcNi7mTDtr1iy5HoaEBSgwID7QEiIGDhwoakR8MAcbMHbnzp0rV64cNGiQoVq98DQ5dRCzys3NJQelpaWxnCX9+/fnUVg+ceJEuTDGf29QUc4SFS3rkOPITDkRLczK1taW1t7eHunCuF577TWdk4pyljBNYMOGDeQ28hxZMysri+RHSx4F1Iubr7zyik6o9gHv4xNPPEE1I2f7VFVV8S7j1URROzs7Wm9vbxTL3d3d09NTDmlS/aDfrEMh9eGHHxJdzW0pitLBuOuuu8gIQ4YMKSwspCWGEEDIHYmJiQSKjIwM+o8//jhxprm52Rxj0JJpjNrsu+++mzp1Kh4FlZWVpaWlxcXFpB6G0+nXrx+hqaamZty4cWPGjCFADR8+fP369TLW3JaiWIOKlnXIXIXbbrsN0ZITXaKioiIjI5OTkxEtaghZQeekovwpMlP27t07ePBgcqR8MYllZWZm5hp/+U/WzMvLu/fee1nTHKNcyvB2P/DAA+Xl5UVFRRUVFXSSkpLkEv8ODg5YFm3Pnj0xrvDwcD4GFEB8BnJycoixN9xwg1xDxdyWoigdjDfffHPQoEFjx45Ft6qrq/v27Sun/5EmyCBYU0lJyZQpU5qamv4jZci35EDnww8/xKAIPkgUZkXeYSOIFhuRY1nkoxEjRuBaGBdLvv32WxlrbktRrEFFy2pkvlH5ubm5MTmxLOYn1UBMTAzlgoiWlgKKcjYwU5gviNaQIUMkWcoZYswp8mh2dnZsbCwZcc6cOY2NjeYY5RJnz549jz76KO94ZWUlJU50dLSLi4udQWBgIB8AzIr33XIsKyQkhDY0NPTjjz9mOHWSbEdRlI7Ghg0bMJ+RI0fW1dWVlZUlJSURJYgYZA3KsNra2vHjxxNYfv75Z6NS+7cayU2BGPLpp5/K0TAGAqmHBIRiYVZslqSDs/Xq1YsAhYxt376dUeaGFMVKVLSsQyYb7Z133mlvb0/u9/T0pDgIM/Dw8HjkkUdYQcpHY4SiKL+LzJSTJ0/OnDmz0CAxMZEim8Qpx7Uou8eMGTN69OgDBw6YY5RLHN705ubm7777bsGCBbzdWBb4+Pi4urpGRkZS3/Tr14/3PS4ujiqH4gmopaZOnXrixAn5WtrckKIoHYyDBw9WGJAsysvL8/PzSRNyMdLi4uKioiLyxcCBA1etWvUf33dLrgGJIdzEtfr27ctAES2iDWbFRrAshA3kCoS33377kSNHZKy5LUWxBhUtK5CZJsydO9fZ2dnLy8vBwcHOzq579+4UCt7e3parDppjFEX5fZgpUnbffffdJSUl5E5SZm5urhwljo+P79+///DhwwcMGPDDDz+YY5RLHKl4aFeuXBkYGOjv749TBQUFEU5xbDl3FNMODQ2lzyeBGqhPnz4//fSTDDS3oihKx4MgcMcdd+BCERERZWVlGJd8EUOUwJFIIiNGjBg8ePCLL774B4e+W0o0w7heeOGFsWPHEm3IO5gVG6RlyaBBg7A1tG3p0qU7d+6U9cEcryjWoKJlBeZUM+bn9OnTqQMiIyPRrZ49e3bp0oVygULh+uuvl3XMMYqi/D4yWeCjjz7CsqiwyZq0VNiJiYkYF3mUzFddXf3FF1+YY5RLGZElQuiBAweoh3x8fHijedPl/4jp8KbTJiUlybX+5VNx2223WcbKdhRF6YAQBJYvX96vXz/iBlEiNTVVTn8gbuTk5BAuSBn0ESTWNMf8FhKFWAePIrzMnj37lltumTBhApY1c+bM+fPn9+3bd8yYMTt27LCsaY5UFCtR0bICmWnMOmBaurm5BQQEIFceHh42NjZUDCxhZsoKMkRRlD9AJgts27ZNfo3j7+8vJ9yTR0miMTEx/fv3r6ur++c//2mOUS5leK+bmpref//9kSNH8uZiU6GhoZY2KiqKhfHx8WLaBQUFAwcO7NWr1zPPPEOtIx8VrXgUpcNCBPjwww+Li4szjD83p83MzJTfc7Jw+PDhiFbv3r2nTZv2B3YkYQSk0xJWfvnlxIkTmzZt+vLLL7/66qutW7du3rxZ/ij/zNXM8YpiDSpaViCTTebbxIkT/fz8fH19HR0d5cLEiBYdqgfuFcxhiqL8DkyT5uZm2j179nh6erq7u1NqU2dHRkYym9zc3FiIgJFNZ8+ezWqSO3VyXXJY3jXa1atX5+fnY9S8y0FBQcEG3OStx7V499FsRCspKSk3N3fs2LErVqzYtWsXA2ULfAaMTSqK0uEgkmzfvn3IkCFoFVGipKRk0KBBffv2RbowLjqlBvTlYJQ57P9i+daGvoSmMwOUsYqJZaHw30vAslA6bOrMJYqiomUdLbPKmEgjRoxwcXGhLqSVSxLLH78gWqdOnZJ1zDGKovw+MlleffVVJycnZlC3bt06GfTo0cPLy8vV1RXjwrXGjRt3+PBhY/7p5LrE4C2TyqapqenYsWN33303FRJh09fXN8TAz88vPDw8y7j8SVpaGoqFa9HHx66//voTJ04w1tyWoigdGIJ/Y2PjzJkzsw2IEhgXrkUnIyOD0JGTk1NRUUHK+PLLL80x54fFyoBHp2UJyejo0aNyEfkzVwCGyGoyXFFUtKxAJo8we/ZsKQTt7OycnZ2pEenY2NiUlZUdPHhQ1jGHKYryO8hMOXLkyOTJk318fOLi4ii+mUru7u7cDAgI8Pf3ZwmdvLy8l19+WaaVitalhbzLQGycN29eeXk5ZVBiYiJyFRQUxFscHBycmpqanp6OWdGJj4+X+qmqqmr16tX631mKogiEEcTm6aefJlbk5uYWFRX16dOHWFFZWSlf0CBa/fr1w8HWrFnDyuaw80Ae0dI5duzYa6+9NmXKlIkTJxLNbr755qVLl77yyis//vij5eKEggxXFBUt65DJw2S76qqr7O3t3dzcHBwc5Dda0pk+fbqcCqXTTFHOBmbK22+/3bt377CwsIiICBcXlx49ejg5Obm6unp6eopucVdISAhZzfJlhzlYuRTg/eKNg+XLl2dkZKBVoaGhsbGxtIBoBQYGYlwxMTG4FpaFb2dlZVEtffDBBxJOGWtuS1GUDowR/n/59NNPExMT8/LyMjMzCRSIFt6FaBE9+vfvP378eCLJypUrWdMcdh5I7GJTjY2Nn3zyyYwZM3gsgpX8SCw8PJzcRFtSUkL59+ijj27btk3WN8crHR4VLStg5jB/pHPNNdd07dqVcrBbt27Suru7I1oImKym00xR/hRmysmTJ6+++mryFrlK/imhZ8+e9vb2TCvmlJubGy2ZDN1i0snkku8XlUsFedd++OGHiooKOZCFOSNXWLSvry8tfd5f3mUUKyoqChOjZnrttdcYKGPNDSmK0rGRgLB7926EKjc3F+fp27evGBexhbaoqAgXGjp06JIlSywBhNYcbz2yEfLUihUrSktLCV8pKSlEsMjIyNjYWNrk5ORQ41o+QUFB3DV79uzvvvuOIRK4ZLhsSumYqGidI7fddttll11GOdijRw/qQnBwcHB1dZ0+fbpWgYpylpCBDh06NGbMGLJXQkKC/O4RxbK1tZWjxCzx8PCgFqf+Hjx4MCszvzRvXXLwli1fvpxKKD4+nuoEreI9lesJ0ZGzBylZIiIiuBeuu+66hoYGc7CiKIqBWBPt4sWLCwoK0Kr09PTs7OyMjAwyCB2kCwerrq4ePny4/GAezqcqky3s37+fPNWrV6+kpCRsigjm5uZGbiKCkZtYKN8VolvsxqhRo7799lt2UmC4uS2lQ6KidY4sXbr0f/7nfygEHR0dpS7EuCgKFyxYoJNKUc6e+vr62267LScnh1KbRCUXwBDRYnLZ2dlxk6zG5CKDbtmyhflF6jIHK5cCUm3Mnz+f95FyJDo6OjAwkAJFLIt33NvbmyU4GCZGwVRTU7Nu3To1akVR/gOJ/83NzTfddFOfPn169+6daVxBJzU1NT8/H/XCu8gm3OzXr9+xY8dY2Rx5rrAFHnTnzp3IW1ZWFi4nohUUFBQaGhoSEoJcIVqRkZEs9PPzI5qRy4YNG7Z27VrNVgqoaJ0jlIb/3//3/1EOUgsCHaTL3d39uuuu0+JAUc4e8tBXX301duxYSnDylodxVXdnZ2d7A0SLfEYC8/f3Ly4uvuuuuxoaGnSKXVrwfr399ttURdQfwLsJ4lrUJcBNihUKpri4uCFDhixYsAD91hpFUZT/QLSH9vPPPy8sLBw5ciTyg1llZGTQYkG5ubl5eXncRTxhHVY+z0giY7dt24a5kaRQOESLrAREMGIXEcz41qgF8hRQChLohg4d+s477+iReUVFyzpk0gKihVkxx6gLZZq5uro6OTnNmTNHVtASQVH+FMmaVNXPPfdcRUUFisVsEtGSrzDkwhgs9PHxIbGNHz9+z549cqxDMDekXGTIuyPv74kTJ+bOnZufnx8VFRUdHU0JgmVFRETwhkpdQic2NpbyhWpp2LBhr776qmWsuTlFUZQzarD9+/cXFRVVVVXJD7SIHrRYVkFBAboFBJMbb7yRZHGekUSGHz16FHEKM/5anQhGyUdL7JIzn7mJXIl0EdxYx9vbm5vsxjXXXMOusgW2Y25R6WCoaFmBZa4yYRYuXOjp6ckEoyhkvnl5eVEO2tvbl5WVNTQ06IxSlLNB0g/tp59+mpyczGxycXGxsbFhKjGhwM7ODt2SbzRgwIABzz//vPyxkmWsuS3lIoO3RqqcDRs2YFm8ubyDVCRETooS+X5K/k1LipX4+Hhqo969e8spN4K5LUVRlDNEC6ZOnYpWkRSysrLi4uIIIIhW3759S0pKCgsLo6Oj+/TpU19ffz4/0AIimHy1N3ny5MjISCSKeEX4ovCTr4roEMcoAolsIlr0WQfos2Pz5s377LPPGhsbz3NPlEsUFS2rEYlauXJlUlIS05u5xDQDphbVQ0VFhZ70oihniUwT0s/u3burqqoQKlEs/MrZ2dnV1ZXqHNHCvphfkJqaOmrUqEceecTyK2edaBct8u7A4sWLeTdtDXhzHRwc6PTs2ZN3mZhJjRISEhIVFZVgUFpaunPnTnlb2YJsSlEUBYgMRuBviS3Lly+n4hoyZEh6ejoKlJiYmJOT06tXLwqzvLw8Oa4lF1s/H8ORh4M1a9YMHjyYhyBYkaqwLAo/OmJWGJeHcd47riUCxvKwsDA6+fn57OSKFSv27t3LdsztKh0GFS0rkBlizLhf7rvvPoqD+Ph4REu+bqelP3ToUEsgkFGKovweMk1omTWPPfYYmbLla0AfH+pyOfRBXY5lUZHLcQ+WlJWVzZw5c/369cYka0E2pVxU8L5IJKS9/vrreUPxqx4GWBY6bWNjg2t17969c+fOxNKUlJTo6Oi4uLiamhr5GR6Y21IURTEgngAd4sOLL74o1xiMiYnBapKSkjAukkhaWhqKVVBQkJCQ8Pjjj59nMOHhZAvY2hdffDFmzJhY47qpchkMXIuHJjfRyiH60NDQiIgI7mIJlhUeHs4upaamFhUVLV68WH+y1QFR0bIOmeG0t9xyC3UDM83V1VXOx2WOBQUFUSUwIWU1RVHOnpdeesnNza1Tp05U3l26dLEc/fAyTskgk5HSyF7x8fEVFRXyMx4wBysXGRIG5T16//33c3Jy0Kpu3bohWrynmLO80Szs2rUrFQlRVE4dvOOOOxgoY81tKYqi/Bc7duxAtEC+pqHFrJAuWiIJy4kq1157rUQhc8z5gSYRoFAmXItkhFBRBLq7uyNUkqF4RGmJaQL9yMjIuLg4Odr2/fffy4mIZ2IJd5a+IA+qXOqoaFmH+fH/5ZclS5Z07949wLjqNK2fAZOqtrZWVjAHKIpydnz99deU2uJX9gYeHh4olqurK61x5qAX2TQ7O7uqqurjjz+WiQbmeOUiQ94d6oZnnnkmKSkJy0KrKEeInLy5tCgW8ZOFNjY2FCvFxcVDhw6VU30YLq2iKMpvcvjwYZwHoerXrx8OIyf1oUCJiYnp6emFhYWElHHjxonYmGPOD7aDKdXV1bF9QpnUfm5ubvRJT7SkKupAqQZxMMCy2KWWs6ITEtLS0tatW8d2xKZoLbTEyl8tS5bIIyrtABUt65DJADfccEPnzp2ZVM7OzrRUCXZ2dhSIzG05G5h1ZIiiKGcDE+fpp59Gq5hNJDA5dVB+pkXr7+9P0mJhcnIyufPLL7/UbHQxw1vDG0rb1NRUUVFBtMSswNHREa2SM0Lpy2+3WMI7W1BQMGjQIMYSPPWdVRTljzl16tSECRPQKuJGdnY2SkOOiIuLI0fIQS0iT2pq6q5du1ornkhY+/DDDwcOHBhs/DLfIlRBxt+QAB1Ei054eLicQyhH23AzdnLDhg1spLGx8bPPPnv00UffeOONTZs21dfXNzc3ixBK2AQeTsvI9oGKlhXIh15mwrx58zp16iS/6qZEoFCgFvTw8CgqKmLCyPqKopw9pJY1a9YwiS677DI5nEUaw7WAPqJFYvP29iZ19e3b9+abbz5w4ACjNBVdnPC+AMHwrbfeosig8sCfMStRLMCfeX+lQ1FCYZSUlERclYGggVRRlD+AlPH000+npaXV1tbKv/DJVQfzjP/RKigooOVe+UGvOea8YVNUgGzzxhtvZOMELrxODlsBsU76csEMLIs+6sU6COGyZcuQQ9LcwoULS0pKUC+gU1dXN2XKlBtuuIHlS5cu/eabb0S6WnG3lb8QFS0rkM89ML1nzpzZtWtXigb5SqNLly7Uf1lZWUwYJpKsLKMURTkbmDJkL5JT586dKb6RK6pzcS3pM9GYcWSyioqKu+++u7GxUb72Uy4ejADZAm/NwYMHeZvQJ2Kjj48PTiWXxKBDS58O6oWAUYjEx8dTczz88MP6niqKcjYQZ9auXZuTk1NWVoZlxcTE0BJGUBpcq3fv3n369OFevMUc0HoQppqbmzdt2rRixQryEWnL1/hnLWJddHQ0QY99CA0NJW3hXcgYxeGgQYOWL1++cuVKOuwqAkYbYpxbiI/RsuepqakZGRmUkffee++6devIcZZwakGWWLAspGXHZKEgy6Ujfdl55QKjomUF8jGVT+2sWbOoFSgBqQiZS9R/cg4hAtbyudYPtKJYCbPmp59+IvfY2dnhVN4GVOGU48wsOaJFh0w2f/78w4cPMw0ZJa1ykSBvByXIgQMHZs+eLT9Mp+BwdXW1/PqON5SbtPQRLd5u3lPKjmHDhh0/flyDp6IoZwOxYs+ePeXl5SUlJQiVHF+S/9QinuAt2dnZLH/kkUdaPU2wwZY6z4BkdPvtt5OqwMfHB3cioMkxfNIWvnfbbbdhTS+++CJCiIahVdxLy5p0WId8J7oVZFwyHmcjcubm5pLpXnvtNUTx6NGjPKj5eL9GSMs+0Dl27Ni33367evXqDz/88Ouvv66vr2eJxdMsyEDlAqOiZQXmR9Vg/PjxVAlMEqYKs6J79+5MLUqHq666intbfVYrSruHWUOdXVRU1K1bN3KPnGZGR4zLy8uLJMQSsumWLVtkGupEu9jgTZGTXlatWkXFI0UDBQeGzBtKyzvo4OBAi3dx08P4C+PS0tKMjIw333zTeFe1GlAU5c8hVjQ3N998881kjUwDOQOZYCJHyAsLC3v16jVp0iSCkjmm9eDRSUACmeudd95ZuXLl8OHDRfD69etXW1s7YsSIO++889ChQ6zz5ZdfEuiSk5PRKkrH0NBQMppcn5A4KacXooUMl6NzuCIdntrAgQMXLVr06quv/vzzz5a/vhB4Xvv371+7di2mN2HCBOrSwYMHT5w4ccmSJQsWLHjwwQfZq02bNvHosr6568qFRUXLCuSTCnxqmUU9evSgRGAmMEkoGqKjoykK+WRzb1vMakVp3zBxTp48OXbsWIpv+aoPvwowkIQUFRWFbg0ZMqS+vp71ZTLKWOUiQcIjfPTRR2HGP8kA7yOuhWjJdU2IlvYGcoIoJRFVRXV19ZEjRxhobkhRFOUPIdpQa+ESxcXFqampRBKSBWEnxbjae1paWmVlJbZTVlb2/fffm2NajzOzj8Q9Woxr27ZtPNyuXbvoE9PksBL7+eyzzyJ+7Cf7BpGRkeQ1Mp2IFsVkREQE97Ic6JPycC36dGi5C0+79tprd+/eLY8FPNCMGTPIiaKaeXl5dFgNYcM2ebiSkhJWePzxx19++eXt27c3NTVJjGWs7LlyAVDRsg75jNKWl5cjWlQJFA3UEJ07d5bfG9xzzz18gmUayBBFUc4GUhGz5q233iJbkCRyc3NpmWhxcXFU587OzuQb8kdNTQ2ZxhyjXGTwDgJv5ZNPPkk8RLEoI+jY2Ng4GH+fRcu7CfKdLlVRQkIC1QbVgFz9guGyKUVRlD9Aos3atWvT09NxFeSEeEKLn9DKCYRYBwL27rvvmmPaHnbpNyvA559/nqQWHh4eExODaBH00EJ2mwhpfJ0YIGdt8BTkLna+d+/ehEcWyuXj0a2oqKjrrrvu5MmTPATtjTfeiIAhlklJSTxNnjUbZOOMomUh9tXPYNiwYQsWLHj66aePHj0qe2jultL2qGhZB59OoW/fvvLPm/JXMFSB6Fb37t1nzpzJvebaiqKcNTKz6uvrZ8+eXV1dPXTo0GnTppEeSBXJycm+xoXdKysrhwwZsmXLFnOMcpHRUvgYonXnnXdefvnlREVbW1viJBGSdxDd+n//7//Jr7Pc3NyoJCgpKJJqa2u//fZbSf+05rYURVF+HyPY/HLw4MGcnBwEBmNJS0vLz8/PysoittBHabiLm88884w5po2xhC9LB4zd/GXfvn3XXHON2GCoccagv/GfJXJcixa5QpNo5YR5Pz8/tIolckSLhegW95IEt2/fTqj8/PPPSZTZ2dlylIzVBPqoF8+dsWyWvEkO5XUoKSnp1avX3Llz9+7dy3Bz55S2R0XLOpgtUgpQ7XXp0oUywsnJycPDg5a+nZ3dTTfdxAr6IVYUa5GZdfz48alTp5ISJk6cOGXKFJLlgAEDJkyYUF5e3qdPn8GDB/ft23f16tXmGOUiA8WibW5uxpZ79uxJbOzWrZuXlxf1ARUAutW9e3cpLKSqoDyiJHr11Vd59xlrxE4Nnoqi/Dkt+mJ8rUPKqKqqSkxMRCrkAhgZGRkEFmJOUVFRUlLS/PnzzTF/BRIViWx79uyZM2cO4oc4+RpXKSQSIlQSCQmMgIAhVG5ubp6entwFrMzzwtBYh5vY2smTJxsaGmbNmsVT5l6BJ8vWsLj4+HjyZkJCAq7Fi8DDFRQUMJZ1WAJ33HFHU1OT7JtyAVDRsg4pAmhvvfVWKgZRLKoHF+PCaD169JgxY4YWCopyDpAyKdAPHz48c+bMXr161dTUpKenkzMGDRpUUVFBn5RZXV1dVlZGXc7KDNG5dpFgFDwmpPD33ntPCgVio6OBq6urg4MD6sVCCoI4409FqRIoiYil9fX1vJWMlYpEURTlTyFiSNy44YYb8Ku8vLzMzMzc3Fxa8gXWASxHUa6++mqL7bC+DG8j2L5g3j5jCQnunXfemTRpEuaDUxEJUSxCItIVEBAgx7hQKXd3d/n9qpgYqxEqeRY4EgYl6e/nn38eOnQogZRRrIBHsTLD2SxrMooNYlaswFhci050dHRqaiqdRYsWoWrmziltj4qWdchsgSVLlnTq1ImZwJRgYvD5pt+1a1cKxGPHjrGCOUBRlLNDZhbccccdpMk+ffqQL8kK+fn5dKQor62tRbrmzp0r18NQ0boYoIIx3zmj7tm1axfpnJDoZUCHUoCO/EYL9aImSEpKqqqqojBaunTpiRMnGGhuS1EU5eyQmENnxYoVSAiZorCwsLS0lA4ZBM2QUEP6qKmp+fHHH4lOf1XKkIdmb7/77ruHH354wYIF7BVGhB0Zx7FafoUlokWopKTkJiUlBiXnAsTGxiJjUVFRV1111fbt29nOmjVrSIhsgXvRKvllF8NlOzxxy0JWoMMSYAvcnDNnzsGDB809U9oeFS0rMCZ1C0yYKVOmdO/enQ80dQOuJRfRooygOqQEZB1zjKIoZ4fMLNoXX3wxNze3f//+vXv3lmsoUbhnZGT0MuBmv379fvjhh5apaGCOV/4izLfB4MiRI+PHjy8vL09JSUlLSyOvR0dHY8uUC8RJT09PWnJ/cXExzvzggw8eP37cqEBUmBVFsQ4CjqSMTz75JCsri+qLVs6DkCM5+ElCQgJZg3D0xhtvWNY3x19A5HGFxsbGY8eOvfnmmxMmTKiqqqqoqCgpKWGfUSA0iVAJBEl0SzqEUJ4C2ZDEt3nzZrZw+vTpPXv2MJynKcev5Hdf9Okgb3KTVk4jlJ9p8VIQkIm977//vlx5SLkwqGhZh+W725kzZyJaWBa4ubnRp4BwdXVlzsgfHZgDFEU5O2RmwVdffYVo9e3bl/STnZ1Nn5RJpiRDkEop4rlLftUD5mDlr0PeNTrys4Hw8HDCoCgW7xrvXUxMjHyTSqbPycnJz88fMmTIRx99xCh5E0E2pSiKcpZIAKHdtGkTKkKyQCoKCwuLiorQrTwDAk5BQQHGNXHiROo3Wd8cf2GRx6UFI+b9i4CJL/3www8ff/zx7Nmzy8rKiI3YUVBQEDEz0LgaIVEUWRo/fvz06dM//fRTy1g6GzZsGDFiBDEWWI31IyMjRTK5CTxr/Ip7U1NTeUHIpDU1Nffff7/lIu/KhUFFyzrk8w033XRT586dkSsHBwcXF5du3bp5enp6eXlRGsrVM80BiqJYCbmnsrKSBMlsIkcCGYKbgGhVVVWRU1euXMkss8xHwRyvXFh4F6SCef7550ntycnJkuzpk+zle1bJ+pQRo0aNGjRo0JdffskQc7yiKMp5cOrUqRkzZohrIRXYRVJSEtGmuLi4oqJCroeBaRw6dIg0cXE6BnXj3r17t2/f/uyzz/bt2zckJKR3797V1dWUmuvWrSMncm9zczM7L8gTWb9+vVwyCsUizMrJgXI0jw5xmCdO7KXPa8IrMHXq1J9++kmGmw+stD0qWlbQUsr9Wts9+OCDV1xxhb29fdeuXeWkQQ8PD1yLiaFHtBTlfGhqahozZgz1OjmSTIluZRj/vYhilZWVsbC0tPShhx4ypmMLDDmzVS48WNOuXbtQYlJ7VlYWVQKZnhwvlkWHhXIGC8n+uuuuk1MDzMGKoijnAcHkmWeewUwqKysRLeJMTEwMLeTl5ZFEICEh4fPPP5eVZdRFRYs8/apP33///cMPP/ztt9/W19fjkLJc7vrvzr59+8iGPE0529DHxwet8jeuihFg/H1zYGAgr8moUaMWL168ceNGy3DzgZW2R0XLOiyfbz6y//jHP/ArGxsbFMvFxUV+vDh27FitIRTlfGD6zJgxg4q8X79+tJZTzFEsdIsMGh4ePm3aNPLQnj175MCITrq/EF58uPfee6Ojo2tra4cNGxZr/DSCHE+H9yvXAFvGvmDdunW8WQwxxyuKopwHxJPVq1ePGzeOxNG3b9/4+HgJPqGhoSkpKVlZWWVlZTk5OU8//TRh5+LMFLJjVJiWIhMsfVnOapbOmes3Nzd//PHHc+bMGTNmDM+X5w68CMReqK6uvv3227/++uuGhgYZS8vYlkdVLggqWtZhfOZbWLp0ac+ePZ2dne3t7b29vekjWugWoiUrmAMURbESps/9999PRV5aWionRZAtQkJCgoODmWVubm7MuCTjsnXo1mOPPbZ161b5aa/Ou78E0vb+/fvz8/MRrby8PPQYE46IiAgKCoqLi8OvsKzU1NTs7GxKn5tuuqmpqemiLXcURbnkIARt27Zt4sSJw4YNIxARZwhBcroyftW7d++CggIMZMGCBawJ5rCLjJbC0YiK0pFdlT5Y1pHl8kWV3AUsIQnW19d/9NFHd95558qVKz/77LN3DAjO3MU6Z7YgG1QuACpaVsBHWVo+o4sWLXJ1dQ0ICJA/LO7evTv1H8yZM0c/xIpyPjDFVq9eTb4EciRtcnKyv7+/s7OzpwGTLjAwkPK9f//+AwYMWLhw4Ycffnj48GEGCjoB2xqJcvJSk/LvvvvuhIQEShn0WK52FRUVxRI8mbcvPT29V69e8fHxs2fP1v9vURSldSEKNTU13XDDDeXl5WQEUgMpgzY7OzsrK6ukpIT4k5SUxL3EH1Y2hynKBUFFywpaKgsDyotrrrnGwcEhJCQEuaLys7GxoePu7r5s2TJZwRyjKIqVMIOOHj06ePDgzMzMfv36yUV75W8cfX19MS6mHpOOIp6cWlFRMWzYsH/+85+PP/747t27pfTXCXgBkNcZ7r//fmyqoKCA4obKRn4qgFbhXbx9QKGTk5MzcuTII0eO6FujKErrQiyCjz76qLS0lHRQWFhIzJEv6Yg85BGW5+XlEaN27NihIUi5wKhoWYFM5tPG9bXGjBlja2srv8ui+KNP5efq6koxoZfOVJTzgVnW0NBQVVWVkJAg59bHxsbiV3Z2dkwxLy8vR0dHGxubsLAw7iKDss7ChQsXLFhwzz33yDlpYG5LaRt4hYlytOvXr4+Li6OUoY6hw1sGvDXBBnImIRVPbm7uF198Iae7KIqitC6Eow0bNvTv37+6uppwlJGRkZqaGh8fTx/vKi8vpxMVFbVq1SrNDsoFRkXLClrKt1+ZPn16165dqfmo/Pz8/Nzc3JycnOgPHz68sbGRFcwxiqJYCdMH0Ro1alRycnJRUREJMjIyksmFaDHLfH19g4KCvL29AwIChg4dOnbs2Lq6unHjxk2YMGHatGmff/45E1C/6WgjLC+sEQVb/p6YtwmVwnVRKd6pJOMyytQ3vEeJxoUHuUnFc+WVV9bX1zNc3xpFUVoXYhGBZceOHYMGDaqqqiotLSXsQHZ2toSgEoPo6Og777xTv+5RLjAqWlYjFcaSJUsuu+wyOW/Q39+f+s/Gxsbe3n7AgAF6eXdFOR8kEd5zzz3kRTnbnko9LCzMw8PD0dHR3d3dx8cH0aKULygooIKfM2fOrFmzBg4cSNE/derUxYsXU9PLppRWxHK0EChraB944IGIiIji4uKsrKzCwkIpazIyMlJSUkJCQmjDw8O5OWbMGPnzFjC3pSiK0noQW06ePEkuKDNArhISEhITE4k/dIhFcuogsWjfvn3mGEW5IKhoWQeTWeqMW265BdGSy6BRTFD2gZeX1+DBg5uamljBHKAoipUwfajp3333XRJkZmZmvPGvi/Ln4M7Ozi4uLp6envTxLjSMGTd+/PiRI0eWlpb27t2bFFtVVbV3715zW0qrYgS/lneHdufOndQuBL2AgACklzAYGRkZFxdHiSNXGuRe3jgEeOvWraxP8JSLQyqKorQiRlhqiTBPPfVUampqcXFxdna2iBbhKD8/n5u4Fh3aVatWmcMU5YKgomUdFtGaP39+9+7dIyIiqPz8/Pyo/ES0KPUaGxvNtRVFsR7mF+3atWvT0tIkX5I7mWXIFdjb29va2rq5uTk6OlLQk1OZdH369EG0+vbtSyodOnTohg0bZFNK60IAFMvat2/f1VdfjfSiuxL9XF1daaOionhTko3/PaPFu1599VXWl8gpW5BNKYqitBaEF0LT5s2bKysrSQckBdJHVlYWuYOb1dXVvXr1IlmEh4c//fTT5hhFuSCoaFkBMxkoFGDChAldu3b19/dvOZLl7U3BQQmIdDGxjx49KmuawxRFsQaZPsyjmpoaCnf5L5To6GgfHx/kCtGipqdPfY+GiV/169evqqqK9UmlI0aMePzxxxsaGiynupnbVc4Jy8sIEv127NgxatQoop+XlxctbwehD/UlDPr6+lLZUOLwriUmJs6cOZP3UbYjW5C+oihKayGxhdD0888/kwXy8/Nzc3PT09MLCgrIEYQjvEtOb87IyLjuuussQ0C2oChth4qW1cjkHDZs2N/+9jc/P7/g4OCQkBDKC4oMJycnpvSuXbuY8ObaiqJYT3NzM/X94MGDAwICEhISSJnMMg8PD6YYBT0LES2mHrmThEoSxbVqa2urq6vpDBkyZMKECa+99hrTkKmqk/E8kdfQCHstHeIbKmtra+vt7c1bgGvxjtCn0717d3d3d94dqhnIy8tbt24d7yOY21IURWkDJEbV19ePHDlSfima/CtUZaW/Xt4dBxs4cODhw4dZ2RypKG2MipZ1UDEY9cYvM2fOpNSg8sO1QkNDPT09nZ2d/f39hw8ffuzYMZ3DinLOSMpsamqaPXu2r6+v/JQ5MTExJiYmLCwsMDCQmh7RYuqxRL62LC4uRrFocbNhw4b169fvqquu+vbbb43JqpPxvODtADq8kh9//DGWhV8hV8Q9Ih6hz9W45j5vR2RkJMbFWyMFzW233YYwM0qGK4qitBEEGQk1ixYtys3NHTBgQO/evQsLC0kQmQbZxqV65OjWF1980ZIYjLMNzfGK0maoaFmHTE6YNm2avb19jx49HB0dAwIC6NvY2ISHh1PeSVWhtYWinDNMMWbQ22+/Te1O1szJyZFLYiBddCjxETDqe+7t06cP2ZTcWVRURH1Pfh00aFB1dfXkyZPvueeehoYGc4vKuSLvBS3VifzIgbiHX6Fbcp19cS38ijeIDiC9ckkSGWhuSFEUpc0g1CBOd911F4GIjCAH1VEsskZMTAzZQZZw79KlSyUuaXRSLgAqWlbAnJS6gXbOnDkuLi4oFjUfpQa65eTk5O/vP2XKFFYQzGGKoliDOX+Myj4uLg7Rkt8x5+fnY1YU9PJXCg4ODtykprcc0erfv39tbW1dXd2QIUNGjBgxadIk+ebS3K5y1siLZmnhyy+/RGKpV4hyhD7eBS8vL2dnZ+Keh/Gn7YGBgcRDWuJhdnY2kiwDgYBpbFVRFKVNMGPNL7988sknxB+SRUpKCpaFXKWmprJEfrXVp0+fqKiocePGSS0H5nhFaTNUtKxApiXQv/vuu6k2PD09qTCoM8LCwuQKhKNGjbKsoyjKuSGTaOPGjSRIMiXZceDAgWVlZZgVlT2KxeyTch/LKioqKikpKf+VmpqaQYMGYQUY13PPPaeT8ZyRl46KZOfOnUisHEt0c3NDsVxdXeWNIOj5+fmFhIRgWSxEtKhjVqxYoVdyVxTlL4EyLCcnJysri+yAXCUnJ8v/aJFByCPki4qKikOHDhlJRrOD0uaoaFmHnNFLO3v27H/84x8UFkFBQbGxsdQW/v7+GNfQoUNZQWevopwPkgJ37NgxevTo/Px8PCopKSkzM5P06W38VTG1vr29vaenJw7Wt29fVujXrx9yhWWRSgcPHkyLbr300ks6Gc8Bef2lg2gtXrw4NTU1OjqaKAe88l27dkV03d3dLb9TpUW6eGuqq6t37dolwxVFUS4kxKu5c+eSKYqLi1EstKqwsDAyMjI+Pp4O6tW7d++EhISNGzfKT+7NYYrSZqhoWUFL6fHrn3VOmjSJqiLQgCIjODiY1tHRsaqqSlYzxyiKck4w0Zqbm2+88UYyZWVlJW1ZWVlWVhYTDb9ycHDw8fFxdXUlm2JZONWYMWMQrZEjR9Lv37+/nEn4yiuvyJcjyjlAHDt16tQ777yDxObl5YUZODk5IVp2dnY2Nja0iJb8XisgIAAHHj9+/L59++S0HHMriqIoF5BPPvkEmyotLU1NTUWu0K2oqCj6JAU5PyIuLo51WFPDlHIBUNGyAqoHKSBoa2trKfWoMKgt/P395RcLVB6ZmZliYjqBFeXckCkm7VtvvUWmlD/LwqliY2PlZ0LdunVjxlH3l5eXY1ZTp05FsRCt0aNHY1wVFRVY1sSJE7/66iudieeGvP5YFi8vpUlaWlpSUhIvuCgufoVu9ezZ093dnTeCm0gv965bt45RoC+7oigXHiLPwYMHKysrSQ1yISUCF0lEvpKjw/LExMQ777xTw5RyYVDRsg6mJTQ2NmZkZNja2sqPE+QffpAuKo+EhATu1S/RFeV8sBTrr776alZWFgmSQh/FSklJSU5OjoiIoKx3dHQMDQ1FrqZPnz5t2rShQ4fW1taOGjVqxIgRJFcWfv75501NTWzH3Khy1shl2Y8fPz5v3rzevXsXFBTIr7DQKjs7O1p0i9c/ODjY19dXvmbivbjlllsIffLGgbktRVGUCwWRhxps2LBhAwcO7NevH5Ylf6FOUkhPT6cloNGZPHkya2p2UC4AKlpWYBQPLTA56+rqMKvY2FhKjcjISEoQcHJyohasr69nHXOMoihWItNHav2HHnooNzdX/nSS7JiYmEjiZJZFRUXRx7vwq2uvvXbKlCn9+/evqqq6/vrrp06dimV9++23UvHrtx7ngLwFBw4cGD16NC+4n5+fXPXHxbgCEJ0ePXrY29tjX/7GX2kFBgbOmTMHMZPCheGyBUVRlAsMMX/lypUjR44kHVRUVJBByBTZ2dmFhYV5eXmlpaV9+vQhR2iMUi4MKlpWINNSKomrr75afp3Vs2dPFItChJvUIhEREfv379cJrCjnTEuR/ivvvvuuyBUJEtGiEx8fj2jhXX379i0rK7v99tv37t37ySefvPzyy1u2bDly5AjlflNTE9sR0QLZrHL28NLB1q1b6+rqYmNjnZycnJ2dkSvAsnx8fNx+hejn7e3NG7Fnzx7LCy4dc1uKoigXEERr48aNAwwKCgrwq4yMDHIHnZKSEpYgWuXl5ceOHdMwpVwAVLSswCghWqCMmDJlipeXFzUffkXH1taWQoSyg/rv8OHDsrKMUhTlnPnqq69SUlLIi1lZWXFxccwvSE5O5mbv3r0rKiqWLVtmqe/NMcp5Q6UCR48enTFjRnh4uKOBg3FVfcwqJCQEucK4ELDQ0FBM+LvvvuNdAHO8oijKXwGJgEDU0NDQv39//Ip8kWtA1oiNjc3Ozs7JySGhkD7Wr1+vWUO5AKhoWQcT2Kjofpk/fz5lByVIVFRUZGSkv78/BQdlB5WfnPJkDlAU5Tw4fPjwkCFDyI7MtbCwsKCgoOjoaLKmXOqdzpVXXnnixAmjyNcqv9XgxUS0XnnlFYSKsEYrZuXp6enn5xccHIxrBRokJSWtWrVKXn8wxyuKovwVUH0Ru2iXL1+enp5eU1NTVVVVUFCAaEFCQkJiYmJJSQmi9dRTT2nIUi4AKlpWw8xkDs+cOfOKK66g7LC1tXV0dHR1dcW13N3dq6urm5qaVLQUpVVgKi1YsCA1NTUrKwu5Ik1S2ZM+MzIyioqK+vTpM27cuJdffllmpc671oJK5bXXXuN1jouLi4+PR6t8fX1dXFwcHByIckhvREQEbWRk5N133y1fLQGjzPGKoih/BZIFyAjvv/8+sQvFKisrw7Wys7NJHyQRFIsl5eXl119/vaysKG2KipYVWIo5uO6667p16xYYGCgn1fTs2VN+Jl5SUnLs2DFZ0xymKMq5wjy64YYbqPjRqry8vF69euXn5+NaKSkpZMrKysrq6urFixdT68u3mJZRcOaEtSArKP8NLw6vGB1eyW+++aa0tJTShEpF5Bankv+J9vHxiYmJSUxMzM3NHTJkyJYtW2S4oijKXw5xjAhGRqivr5crDcbFxSFXch5E3759a2traYlvNTU1Bw4cMNKCGfoUpS1Q0bICZiOtVG933XVX165dQ0JCnJyc5KcLSJednR2z9/jx47KmoijnCVNp5cqVZEosi0yJZZEsU1NTMzIyBgwYIH+ku2TJElYD5ibIARZyLf3GxsajR4/KhUC5aazVgmxZHkIR5JWBn376iUKk0Pj7stjY2OjoaF5w+WIYueUFl+t3VVRUvPTSS7yq5nhFUZSLAEuoHzt2LPlCLg2NcRHEevXqVVxcTB4hgmVlZX3wwQesLyuDDFeU1kVFywqYh0xgmcOTJk1Cq8LCwuR6gxiXu7u7o6PjmDFjTp06xTrmGEVRzgPmGqIVERFBakSuSI1yJhvpk6K/d+/eRUVFS5culVkJ0sGysIVHHnlkwYIFc+bMuf766996660jR45YVgPzAZRf4TXhdTt27Nj48ePl5cVsec2x3MTERLn6SGVlJZUKd1Gs3H777XgsWmuOVxRFuQiQCA9XXnllbGwsEYxSjTYlJYVQlpeXR9ZAurKzs8kRrGY5+dkcryitioqWFZxZpV133XVdunSRC3CFhoYiXT179uzateuIESMoVliZdWSUoijnDPNoxYoVwcHB8mtm6n6yY3R0dE5OTllZmZwHMm/evBMnTjDvZNLR+e6775iJNTU148aNmzBhwtixY6dOncqcffnll9EtVtOvQv4bXjd48MEHcSoUi1eYFzwyMhLLpVjBb9PT0wsLCxEt7ho5cuTRo0elQDHHK4qiXAQQlCTI33LLLUSt1NRU/CotLS0/Px/LyszMJI7RJ9BNnDjx5MmTrKkZQWk7VLSsg0JE5vC1115rY2Pj5+fn6uqKbnkYODs7X3/99TJpWcccoyjKucI8+uCDD6KiokiNJMiUlBQSZ0JCArpFuU/urKiowKN++uknmXQyQ5ctWzZo0KBhw4YNGTJkwIAByNjgwYPr6upGjRrFXQ0NDbJleYgOjrxuAoJaVFRUWVkZExMTFxdHi+KGh4cjWnJQC91FbquqqjZu3Mj6DJdWURTlIsEIZi18++23ubm55IuQkJCkpCQySHFxMd4F9FlCh9xB1iAMmoMVpbVR0bKOFoUyJuS8efN69uyJWXXr1g3dcnJycnNzo124cCHTm3kr6yuKcj4wm7Zs2YJoJScnU+tT6CNXOAC6Rd1Pv7y8HIPavHmzKBZDmpqaEKqampp+/fr179+/uroa0cLHWA31Gj16tP59igWJZnJg6tSpU5MmTerduzdqimKFhYVFRkbyysfHx2cY8JrLWTcPP/ywvoCKolzkHDhwoG/fvrgW0Yz0QQTr06cPciWKVVhYGBER8emnn8rKGtOUNkJFyzqYilKaLF++3MHBQX6axVxFsVxcXOzt7SdOnMgKOmMVpVVgKv38888JCQmU+1T/chSLFtciU1L308eg1q5dy5oC2jB58uSysjKsDL8CdGvgwIHoFgsRsDvuuOPYsWOsaT5GB0ZeMSBq8RrKN77UJXKNwfDwcF52Xmcsq6SkBLPNz8/nlTxy5Ig5XlEU5WJl//795IjS0lICF4lg6NChJAXyCPEN16qqqoqKinr88cclBppjFKW1UdGyDpmQsHLlyiuuuIIZSy1CIeLn54dxoVsjRoxQ0VKU1oKpdPjwYRwpOjpaDq2gWGRH1It5h2XJBRtWrFgh805YvHgxSVSuloEhDB482HIVB5LuoEGDnnzyycbGRvMxOjDycvHSNTU1zZkzR369kJ2dHRwcHBoaSjnCy84LbjmcyF0vvviihjhFUS5+CFMDBgwgRxC+YmNjyRfyZ+thYWEUbGlpad27d58xY4Yld5jDFKVVUdE6Rx599NG//e1vPj4+Xl5ezNugoCDqEg8PD6q6o0eP6oxVlFaBqXTixIlx48aRJouKiuR/J2NiYpAu+Zt/9In2zTfftCTL06dPP/3005iViIHlB9DpxuV9Kyoq0DY2+MYbb+BacsIhY+Wx5EHbN8aL1IL0ee7wzjvvUHZgWfJ7Bglo4eHhtGgtusWrxws+adKk+vp61pfhiqIoFy2EqcWLFxO7iP8oFolDfnoqXx6xnIUEPWo2ViasyShFaV1UtM6Rhx9+uHPnzt7e3t27d3d1dXVycgoMDPT39581a1ZTU5NWIYrSKjCVTp06NWrUKKp/OW8QE0hMTKSNjIzEvkiWYWFhWJM4Ay3s3Llz/PjxZFAUizY3NxfFksvl9enTBwcbPHjw7NmzP/jggzN/Bi1jpd+O4TnylC1w8+eff+Y1ofLgRSaIQUBAAIoVERHBwgzjSo+85jfeeOPhw4f1B6iKolwSENyefPJJskZWVlZQUFBUVJR8eURYkwv8xMfHs9By5rk5TFFaFRWtc+Tuu+/u0qULcuXo6Ojj4+Pu7u7l5UW7dOlSnbGK0opQ2Y8ZM8bZ2ZlMCXLxKEQLEAAMCj2YMmUKPsa8E3M4evRoXV0dilVcXIxflZSUSB/vYv1+/frhFeXl5VOnTsXQTp48aZGHjjBzW8KTAa8Yz33Pnj3XXHNNcHAwZQdVCNHM19eX15lChAKlqKgIO62urp40aZJ872sO1hCnKMpFz9dff52fn19aWko0Q6uIbJ6entHR0WJZpJKAgIB//vOfGtOUtkNF6xx54IEH/va3v7m6uiJXlCZ0mMAuLi433nijzlhFaUVwp8cee4xZhgxgAvKnkxEREXFxcehT37590a2BAwcePnxYph7rNzU1rVq1asSIEX369OnduzeKhV+xMtKFa0GWAQsnT5783HPPHTp0qOPMWZ7pV199dddddy1evHjmzJm8RJiVvb09QUy+M/L39+dFzs3N5YWiExMTk5qa+uGHH4rE0krH3JyiKMrFyr59+8gRBH+cCrNKSkpKSEhITk4mlcjp6GFhYZWVlSdPnjQHKEpro6JlHVJeUGfcfvvtlCYUKMCMdXZ2lm+Cly1bplWIorQWTCX4+uuv5cIMtJIsxQRycnJwAJSppqZm586dZ847+p988snYsWNra2tLSkrkYnqYA+kWUKzS0tKysrL+/fuThm+88cZ2fx3CltfRYP369YMGDaqurkZEqTN4PQll/+///T87OzuCWKgBryqvcFBQkFzvZ8aMGSdOnDA3pCiKcilAuJMTIrKzs4n/UVFRGRkZSBcpgz7k5+fLd0kHDx40xyhKa6OiZR1SqTB1EaqePXva2tpSo1CI9OjRQ45uLV68mBVwLXOAoijnBxNqx44daWlppEO59mB6erqcdk/WDAkJ6dWrF/ny3XffNQcYMAcZNXny5D59+rACkGsRMzmQJWcS9u7dm3sRrcrKyuXLlx89erQdz1yeGjQ0NPCa8Bry9CEgICAwMNDBwaFTp04uLi5ubm7JycmIllz6gsjGa47Wrlu3jrG8Eea2FEVRLgUIXI899phE+7i4uMTERBKBfN0m55/Ll0oHDhxgTXOMorQqKlrWYSk17rrrrr/97W+Ojo7du3f38PCws7OjWLGxsZk5c6aKlqK0FswmOH369NixY7EsOWMQyyI7YguSOMmgZM2XXnrJHGMgo1atWlVWVoZloVJYVm5uLmvKobAiA4yLu9CtioqK559/nlHm+PZIc3PzBx98wNMHHJXXk9jl4+PjZGBvb9+1a1fkKigoiMpDvJQXfP78+WJZ7fvFURSl/UHs+vjjjwn1paWlhDWyBi2JIzIykjYsLIybhMFvvvlGyzaljVDRsg6pNmDx4sX/+Mc/3NzcqE4CAgLk6FaPHj2GDRsmRYk5QFGU80CmGyxZsoTUiAZgVunp6XgCKRPdysvLQ7Tg2WeflTVllEzDEydOPPPMM0OGDOnbt29+fn5WVhbSVVNT069fPxEwScBshBVuuOGG9pprm5qavv/++1tvvbW6uhqD4nWQf5LBsghc3bt3J44RvhwdHf38/JCr0NBQVuPlnTdv3vHjx+XFBHNziqIolwJErZ9++oloX15enpycbLnIO0RFRbGE3MGS6dOnS/DXQKe0OipaVnDmDFy2bBmi5e3tTWni6upKjeLi4kJnzJgxsoLOVUVpFWQq3XnnnSgBqTElJUV+2SzGFR0djS+NHDly7ty5KIGsTCtZk7axsXHVqlXXX3/9iBEjamtrBw0aNHDgwP79+8v/a+Xk5LA1cu3EiRPlB5YtD9le4HWAAwcOLF26lNCEZRUXF1NbyB+s9+zZ08HBgRbLAvryNxUILa8tKouC7tixw9yWoijKJQXxHE6fPk14T0hIIFn4+/uHhoaGGP9ZjGvl5ubiYPLbXfmZrmCOV5TWQEXLCiwzkPbmm2/++9//Tl3SvXt3S4trUcy1s1pNUf5aZEI999xzPj4+JMuYmBhMgDRJJ834Wy3Moa6uDpHYtWuXDAFGMU8ly8LPP/989913Mz3lwu6IFsohisVNFs6aNWvBggX79+83x7cLeAX27Nlz0003oZcgx/Hi4+MJVlgrikXgorWzs3M0oE8JwuvJC4vQ3n///RrNFEW5RJEUQLto0SK0KtG4pHtSUhIdEgd94j9REd0KDg7+7LPPLFnDHK8orYGKlnUwCWmZh1deeeVll11GaWJjYyMnEDo7O1O7jB8/XtZUFKVVYNLBTz/9RDokNWZnZ+MAmACkpqbS5ufnYxFVVVXyv5OWIZI1LTcbGhrWrVv3xBNPDB48mPxq/ESriCxbWlqKdOFaSMjmzZuNx2wnnDhx4oYbbpAnW1BQMHDgQJ5jaGioi4sLTkXscnBwoI9udenSpVu3bl5eXvKqxsbGjhs3bt++fVpzKIpy6UIEa2pqevLJJ5OTk2NiYhAqkkhmZibeFRkZyUKCP1mAhXfccQdpwpI1FKW1UNGyDqNga2H58uX/+Mc/unbtSnXi5OTk4eFBjYJ31dXVnTb+/JR1ZIiiKOeDZD6mVf/+/f39/Xv16oUzoFsoQXp6OlaAdyESLH/hhRdYzZig5reSlr50WELSffDBB1EOdAs9Gz58OJvt06cPLUsOHDhgPOaljeXJfvjhh1gWIsrrwxOkH278F4Wfnx9+ZW9v7+bmxkvKEjnzGQdLTEyMioqi8vjmm2/YiLyMiqIolxwSwWjXr1+fk5OTlJSEaCUkJGRlZSFatKgX4S4vL49UMmPGDFlfg57SuqhonSOPPvooloVfde/e3cHBwTjvxtHW1raiouLkyZNMVzBXVRSlNSARuru75+bmolj4QGxsbHJyMqJF4qRl+eLFiyWt/sHsYwVca8OGDVjZww8/vGDBgilTpsycOXPZsmW7d++Wb0kuaeTp80SOHj06e/ZsyosRI0bU1dVlZmbychGyunXrhlnZ2Nj0NH6j5e3tjWURvihBKDiwVjk22NzcLFuTzSqKolxaSDAk5hMMy8vL5Q8Yo6OjSRkZGRkoVlBQEH0gTo4aNaqhoUGGmOMVpTVQ0TpHVq5c6ebmRnVCvWJvXLCLlpsDBgyor6/Xiaoorc60adOYdMgAwiDgV7SkyYKCAkSLFeSI1h98JWmk0ZYVWBOXOHTo0I4dOw4ePMhNGWuud8lieYLHjx9fuHAh5cXw4cN50UJCQuSou/w6i5BlZ2cngQvRIo5FRkYWFRVRf7z22mu8MmwB2sELoihKx0QioRERf6mtrcWsiG+kDHQrMzMzLCzMycnJx8cnMDBQrsW6detWWdkcryitgYrWObJixQo596Zr167UKN27d3d2dqZwqayslEuf6VxVlNZl8eLF7u7uJEi5vDstihVv/JtWr169cImpU6f+qS9Z8i5Y+i1K8WeHwi4h5LnQWb16NZYlZ1dSZBCjKCyADsbVuXNnAle3bt3o42AxMTG8qnfdddepU6fYghzRomNsUlEU5dJDojpxbNasWREREQRDuSpGUlIS4Y4MIhfGoCUAvvjii7KyOVhRWgMVLeuQSUtnwYIFcrUuWjmW5e3t7eDgUF1d3djYaFlNUZTW4tFHHw0ICEC0SIpZWVl0SJDoFq5F+szJySkpKdm2bRtr/kGmtMxNS0f6ltbSQdiQDayD9sy7pG9Z8pdg2QdL58yWp99yh3H9j7feemv8+PGIaGRkpJwi2KlTpx49etjY2FxxxRV0unTpQgTjxczOzr799tvlzGfLFoBtKoqiXIqYUeyXX1577TXSB8kiMDAwKioqOjqafkpKComD0EcA7NOnz/z58+VgvjlYUVoDFS0rkOkqJcj1119/+eWXU6B069bN1tZWvhLm5oABA6QsA3OYoiitwSeffBITExMbGxsREREXF0eaDAkJoc3LyyssLMzPzy8oKPjiiy/Oc/YxwQ8cOPDcc89deeWVo0ePHjp06PTp05cuXfrCCy9s3br1xIkTsn0L5rALhUWB6Ej/zI5xz//p1NfXT506laoiNDTU29vbx8eHYEXIAkJWUFAQLWUH4lpVVYWYMQTDNB9MURSlXbBu3bqkpCQ5vJ+YmEiblpYmx7VAMktZWVljYyMx0ByjKK2BipbVyCS84447RLF69uzp7u7u5ubm4eFhZ2c3ZcoUKXFA1lcUpVX44YcfSI1yhr18JYloyYXyUKwBAwYUFxe/8cYb5zn7Dh48iGKxQbkq+rBhw2pqarhZUlKCdC1ZsmTjxo1ydqJgDrtQ8IjiQhQEx48fX7169auvvvrmm2/S2bBhg/yYW1aj5bksXLhQrtjOqxQZGRkeHh4cHIxf0ZFDgpQaffr0QVwfeeQRtiwYD6UoitJOOHXqVHV1NXGPDEIkJPSJa2FZ+fn59ImHdHbs2KEBUGldVLSsRgqdG264oXPnzvIjcldXV0dHRycnJ0Rr+vTp3Ms6UugoitJayJWj5K+KAwMDSZm4VkBAADdJk1gWWfPRRx+VGWqOsZ7vv/8ep0I/JO+OGTNm0KBBFRUVffv2LSsrQ72mTJny0ksvrVmzRo7/mMMuFDy7pqYmdhKDQvzQy4EDB44cORIhnDlz5hNPPHHo0CEJPpjYzTffTFXB08nKyqLDS4dl0fKi8QR5UggYz4j648Ybb0TbNHYpitIuIawtWrTIzc2NrCHH8OUCGKJbRMX4+PjExMSVK1dqAFRaFxUtq5HSiprm8ssvl5+Ve3h42Bt/WIxoTZ061ShUWpD1FUVpFU6dOoVOkCYjIyODgoIwB8AZMK709PR+/frhDIsXLz7P2ffFF1/k5ORgWdKShnkUUrJ88Ylu8UA1NTVDhgy5/fbb5UxCRp3P6XaywyI5El7OPGJ25nLaI0eOLFu2DL9iZ3i+fQxQJiSwtLS0rq7u7rvvZn228PLLL4eGhvr6+vr7+/Ny8bphWfSBF5AKg+GxsbE8wYKCgu+++45Rxu4oiqK0NwiJ77//PtEPmyIwyiEsObRF+iCJAMvHjBkjwVZRWgsVLeuQiocZO2XKlCuuuMLNzc3T0xPRcnBwkD/UKikpsfyKwxyjKEpr0NjYOHXqVNIk2kOLKpApfXx8yJ0xMTF5xp9OWq7wbo6xnp9++gmdE9Fig7S5ubk8IvkYtykvL6flsWhxLWTm/P83T4YLhBeQPnfJzebm5p07d3700UfvvPPOvHnziouL2Q3sCLmiz+4BkQfjQgLlG9njx49XV1eLhbq6uvISeXt7I10YF33UkSE8I+6NioqaM2cO/iY7oyiK0v4gkO7YsYOgR/SOj4+Pjo4ma/j5+cXGxhYWFrKcSJiRkdG7d++jR4+aYxSlNVDRsg5LATRjxgxbW1tqFyyLUg/jsrOzc3Z2Lioqkv/RktUURWktmFOrVq1CsUiTSUlJkhoxB/wBWBIZGTlx4kSRE3OM9Rw4cOC6664j46alpSFaCBV9vCvV+M8uWjmrkCTNCiNHjnzyySdxLezOHH9OsMMSNAS2dujQoR9//HH16tWvv/76smXL8CueWmlpKRFmwIABaBUFQWVlJaLFQjmzcdCgQWPGjPn+++/ZGrpIARESEsLrExwcjHERrGixLBaGhYWxHMviiTzwwAP6N52KorRviG+NjY3E87KyMkJiXFxcTk4O2YTwnpubawnsoaGhW7duNccoSmugomU1UhJNmzbN3t7e09MT3XJxcXFwcHB3d0e0EDBLzWQOUBSlNWBmbdmyBb1JSUkhX5IXcQlsITAwkJkoX1KWl5fLH9mZY6wH0UJsyLjkYDIxD0cm5hFpxbV69eo1evRosjU7QIauqqp66qmneFBz/DnBDvPsEJ7m5uZNmzbdc889aNXgwYPZPo/IbgwZMmT8+PE8qJzyx9OEwsLCgoICLIs+CzGuJUuWsB087cUXXyQoUTTw4ohoiY4iWiwUXF1dZ82aJZczPs/DgIqiKBczEmOJooTKvLw8AjvBk8AO5I6wsDA/Pz+CLQll7dq15hhFaQ1UtKyDuQoUJddee+1ll13m6OjYtWtX/Iqaxs1g2LBhMp9pzTGKorQGzKkNGzaQC+VrSDokyJiYGPwnIiIC7SFlkkE3btzIBDTHWA+zm0eZN2+enIsIPJb8Rgv7wnmY41dddVX//v3J0/Jzavp33nnn/v37eVwLLZHCwNzuf8E6tLLOkSNHXnjhhcWLFy9atGjAgAH4Ve/evfv27VtZWTl06NBBgwYhUSzp06cPe0Uf2ePR5dvZgQMH1tTUsCatXN3+2LFjqBfRCcsKCgrCsqSlksC1UCyeFM+F2uKZZ545c29lxxRFUdoZEt/uvfdef3//wsJCQjdRNC4ujjxCbCdUenh4REdHs+TVV1+VIYrSKqhoWcGZhcjTTz/997//3dXVtXv37k5OTj4+PpQy6BYll+UfP81VFUVpDZhWmzZtwrLk0nnh4eGxsbHkRUQLxUI8UA7cgzR5Ps6AaNFia6NHj+axEBK0R04gLC4uxnZIzywBpIt7RflYiCZ999138hNNmf5/sBvcJfBwP/74I36FTQ0ZMgRfwpGqq6vRrX4GgwcPlksLymUPaSsqKkpKSpClqqoq+uwSHSLPtddey6M3Nzc/8MADhKOoqCjkyt3dnQICuaKSoMLgpYuMjGSHeenY7M6dO839UMtSFKX9Ynyh9K8vv/ySsi0mJka+ySLCEw8JlSQUYiNhk7uWL19ujlGU1kBFywqkFpGi5NFHH7388sudnZ1tbW0RLaoZsLe3r6urO3bsmKwjoxRFaRVIk7t27SoqKgoJCSE1ijOQIGlxrbS0tOzsbBYuW7aMNc0x1sNYJi+68vnnn48bNw7twakQGzl+BTwQ6VmOd2FZ6BaaRwdvGTFixPz585966in5M5Y/iANyF2B0U6ZMmTRpEu3IkSPxJdypT58+1AE8tPz4iodmCS5XWlrKQtEtltAyRAzzvvvuk0Nqe/bsYawUEBEREegoLionxoho0aeYGDNmjBz6k/2UXZJ9UxRFaWdIoJP/CCFoFxcXE8Dj4+N9fX3d3NzIKQkJCYRNwvusWbPMMYrSGqhoWYEUIkxX2iVLllxxxRWenp42NjYuLi5y3Bnjok6i3GFNWVlRlNaCObV7925Ei3mHMDDpRLTk2hhydIuF6Mfhw4fNMeeEzF948cUXx44di1PJqSbYFI+eZfwBCyQnJ2dmZpKtSdu0shz/GTx48M0330ygkINjv4lkfXjmmWdYf+7cuYhWXV1dv379amtrq6qqqAYqKyvlUBU1AbBlFIvlwHOEmpoaWob/8MMPbKqpqamxsXHevHmUDigWL46cLohfoVvcZDn1BJaFN27evFlCGQOloyiK0l4h0BGQYerUqURsUoZcTsnLywvRIqEAN4nkBFVCIrQEaC3klPNGRcs6mHUy/RYuXIhoubu70/r4+FDtubq6Ojg4UGnt2bOHdcwBiqK0EkwrXGLBggVMt+jo6MTERORKhIccyUJEi+XoEOJhjjk/Tp48uXbtWrkIIX6C0ZGheUScqqCgQM4bRMPo07IwJSWFFfAfhhg5ugVzW/8X875ffvniiy9QrJkzZ44bN27QoEEDBgxAnKoNKox/x2IJba9evZA9wLh4LOxryJAhs2fPRgX37t3LdnhxsKwVK1akpqbKb7GwLBSL6CR9FtIiYBQTL7zwAkOoOWjNHVIURWnXSGG2bNkygmRkZCThkdwREhJChCSVhIaGkkQI6bhWfX29VHoyUFHOBxUtK2DWCfSHDx9uY2Pj5OTUrVs3Nzc3Z2dne3v7nj171tXVnf//6iiK8t+Q+eDmm29mrpEdcQbMCskhZTIBMYrw8HAyJbbTWtfnRUVo9+3bt3z58qKiIh4oISFBTh1EtxAtHouOHPJiBZbI0adbb72VCPAHqVruouUhPv744/HjxyNUffv2zc/PZ1N4FNDn2fXu3ZvOsGHD5syZs3DhwhtvvJGdefvttzHAo0ePWraDZT3xxBNJSUny1ay7u7uXl5eHh4e3tzf1BIollxlkz/FAubwhA8HcIUVRlPaLJRp/8MEHZIqgoCCShZxzLr9oRbqIk9wkkn/77besqRFSaRVUtKyGiceMTU9Pp9rr0qULcuXg4CDXHrS1tZ0yZQr3ymqyvqIorYJkymeffRaFiI6ORidEtxAJlpApyZHSbt++3RxzfsgjwqFDhxYtWlRaWirXNkSo0KGcnJyMjAwsqLKysrq6uqysTI5uLViwgB2wjDW39X+RuyRW4Ejr169/8skn58+fP3Xq1DFjxowbN66urq62tnbGjBksefHFF3ft2nXy5Mmmpia5GrtluKXFsvr168ergVkFBgbSYp5yOIsyQl4lFxcXROvRRx9liGWs7I+iKEo7hnAn7Z49ewjgkZGRMTEx2dnZRGy8i1RCbAwNDcWyCOmffPKJJbTKcEU5Z1S0rEBmHZw+fZrZKIezkCtEq3v37nR69OgxcuRIiiEtXxSlLWD2/fDDD7m5uZgVFkF2lLPj8ArSJMuxIFxo3bp15oDzQ+Y7MKN53Jdffnn69OklJSXoHCkZ2SMOYF+05GxxvMWLFx8+fFiG/HEckHtZ03KT0NHQ0LB7925Kgb179+7fv7++vt5yKrKxIyaWIcDNY8eOEXl4+lQM7u7uvCbAS8TL4uHh4enpyU2Mi5uY29GjR2W4ZTuKoijtGyNwttDc3FxdXU30JllkZWUlJyfHxcWRNehEREQQRTMyMp566ik5s1pir6KcDypa1iETlbk3bty4Ll26iGi5uLjQ2tnZ2dvbl5WVyfk85gBFUVoJkQo0pra2Fm3AskiQ6ERAQEBwcHBsbCzJEt0iTb722mvmmNaDh0aEtm7det99940aNWrMmDFI1/z586+55pqZM2cuXLjw4Ycffvfdd3Gec57+RnT5N+bS34d1eCx44403CgoKwsLCLIewLAe1UCw/Pz9eJV4uXqi33377bLasKIrSXiFc41Ry+ndCQoKcQEjuiIyMpBMfH09sJ9obYVijpXK+qGhZgUw5yho6kydP/vvf/96zZ09cy9nZmQ6W5eTklJOTc/DgQdaRIYqitBbyFSPt7NmzyYgpKSn4lYuLi5waFxUVFR0dnZ+fX1xc/OGHH5pjWglDZ/4lv2tiBxoaGlhI/9SpU0ePHpUdA9aRjoxqa+QRt2/fPnz4cGzKzc0Ns5IrXvCaIFr0Ea3w8HBeHPpDhw49cuTIBds9RVGUi5Bnn30WoQKSCH6VlJREhJQ4SfoICwsrKCg4fvy4xHNzjKKcKypaVtBSQP1aS82ZM+eyyy6zs7NDtBwdHbt3707f1ta2vLz8xIkTrGOOURSllbDMvttuu83Ly4t0KJd8wCWQCk9PT25mZWXl5eU9/vjj5phWomXmG49u6f83sm/Syqi2hgc6efLkpEmTAgMD8Sjkihb55JWhI4e2EDCqh9jY2KKiop07d17I3VMURbkIef311zMzM+Pi4kINQkJC5JwI+bEW3kU2eeKJJwiVGi2V80dFyzostdSSJUsQLXt7exsbG1pEixbRGjZsmKyj81NRWhdmlkyup556SkQLi8CyfHx8yIvg4uIix7Xkon8yBxkiw88H2ZR0pP97HaFl1bZBXgHh9OnTq1at8vDw4HWQy10I4l1UDCyPNIiJifnkk09Y33gJ9WsgRVE6Ll988QU2RcwkSPr6+pJBSBx4V0pKCt5Fh+SycOFCibHmGEU5V1S0rECKGzrMvdLSUgeDHj16oFhdu3Z1NJg8ebKsoyhK6yITENauXYtOkB1JihgFOgF0EIxg408nmYYiJO1PKuRJSXvixInBgwfzUhhfy7aAf/KyoF7h4eHIFeUClpWenv7SSy9Zzm8Ec1uKoigdj6ampsLCwoKCgtTU1MzMzNjYWKSL+JmQkJCYmBgdHZ2dnT106FCNlkqroKJlBUw5KXGgvLzc1tbWycnJ3d3d1dUV18KyWFJbW9vY2CgryyhFUVoRZtahQ4eysrLc3Nzk+0hAsciU2AUkJSVVV1ezGrNVJqw5sl3A07Hw2muv8cTFM41DWS3yiWpyE+OSg1pw//33Y1nA8Pb3giiKolgFMXD48OEoVkZGRppxGYyYmBj8KiwsDN0ikEZFReFaR48e1WipnD8qWlbQUtr8Wr1NmzYNuUKxcC35lYiHh4ednV1ubq5cDAPMYYqitAYy++g0NzfX1NS4u7ujVaTGIOOvJ0mTJMvY2FgSZ0FBwe7du1lZ5qwMbx/IM4IffvihvLwcrRLVpIN0oVV0wNvbm7iEcQ0cOJCIZLEseQEVRVE6LMTPBx98MD4+PiEhgbBJS+6Qi9YmG+Bg9J9//nnWNMcoyrmiomUdRoXTwoQJE2yNf9CysbHBtSh0PD09uRkXF7dt2zZWMAcoitIG3HDDDW5ubhEREQEBAehWaGgorZz4QZpEtyx/hNLOJiNPB888cuTI6NGjRS+RK7QKufL39+fVAPzKw8ODuMRdL730kginOV5RFKVjQ0hcvXo1WaO4uDg1NTU3N5esIV/VoVtZWVmUc0TXWbNmaeRUzh8VLStoKdmMWUc7adIk+ROt7t279+jRg9bZ2dnR0ZHpumfPHlnHGKQoSuvz8ccfoxakRi8vr8jISJIiUkGapB8XF4eAPfTQQ6zW/hyDZ4RoLViwQE4O5EXgiWNWUVFR9H19feW8QaCMePjhhxsbG1vCloYjRVEUA6Lo7t27yRQFBQUZGRnyG61AA5JIdna2i4sLC2tqak6cOGGOUZRzRUXLCpic0sKNN95oES0HBwc5qEVxU1paysyUE3UURWkjNm/eTDpMTU3FrOSoTkJCAh2mIZmSDPrUU0+JYIA5pl1A8FmzZg1O5eHh4enpSWXgYxBkQAjiLp4+S6ZMmXLq1CmePmLGKHO8oihKx4ao2NjYmJOTExYWlpaWJqcGhIaGurq6EkLlgoTp6elo2K5du8wxinKuqGhZAZNT6hXaK6+8snPnzj169EC3XFxcWr5A9vLy9vYeMmQI97YUd/oVsqK0Gfv27SstLUWuEC2SIo5BdqTv7+/PwqKiojvvvLNdzkTqgwkTJhBzUEqeLOBaeCY3kSs/Pz8sC/+kaHjyySctrwCY4xVFUTo2EhjHjRsXEBCQnJwsR7HCw8OJq+7u7pafbBFFv/76a3OMopwrKlrWweSUKTpr1qwuXbrY2NjgWkxOOzs7+S5k+PDhKlqK0tY0NTWNGjUKxSIX4hhAyqSNjo7OzMzMy8ubMWPGyZMn28dMlJBCi2Vdc8012BROJScNent7c1P62GZYWBiiRb+goGDr1q3meEVRFOVXJJzed999xEwUi6whR7co4SIjIxMTE+mTXPz9/S1nRkgQNscrijWoaFmHRaKqqqrwK7mqOx10i3KHOq+urk5WAHOMoiitDfNr6dKlyBXpkKlHvvT09CQvJhlkZWVVVFTs27evfcxEngKRB1588UWeKU/TcsVFjIub6FZMTAwvBc89OTmZ9uWXX2Z9c7yiKIryK5IXNm3alJKSgmjJf2plZmYSPLEsQmtwcLBck3DOnDmW9UGGK4pVqGhZh0w2Kpjy8nJnZ2e5wruHhwei5ebmRvXD8pMnT+pvtBSlTWGK3XPPPahFlEFkZGRgYGBoaGiaAUvIoNu3b5cJa465ZJFnceTIkUGDBmGVISEh8pTp4FqAcFIcoFvUClQMV155ZX19fTt44oqiKK0OJRzh8ejRo/369UtPT+/VqxdORcpAtAihcXFxiBYQVAcPHtwur16rXEhUtKyAmSbzk3bKlCndunVzdHRErnx9fREtGxsbW1tb5uquXbuMWanTUlHaCubXww8/HGNcZtBQraj4+PigoKDo6Gg65EuS5Zo1a2TCmmMuWXgKPJGHHnrI1dVVfpFFS9hBLHm+PGtgIUuoG1auXHn48OGWAKQhSFEU5b+Q8IhB3XLLLQUFBcXFxWhVhPGX93gXrkVm8fPz8/T0LCoqoqJT11LOBxUt67BMthkzZiBabm5uFDf+/v5Ylvxei4Jv/fr1VEWyvqIobQHT8OmnnyYvkh1JivgGxoVvcJMpScuS22+/nZnYDiYjT3bnzp0IpI+Pj1zoggqAp8nzpfX29g4ICKDPKzBixIi9e/caUaoFc7yiKIryKyQFCY/vv/9+XFxceXl5UlJSWFhYQkJCbGwsS+jLj0Go7p544gkZ0g5SifKXoKJlBZba5fTp01OnTsWsKHEcHR2dnJwsP9aivPv+++8t01hRlLaA+bVmzZr09HTxKzm3Pi0tLTc3l2SZkZFRUFBw/fXXMxOZreaYSxae7K233krWDw4OxqnI/fRxLQ8PD3d3d/mZlpubG08ft2RljT+Koih/gMTJtWvXZmZmzpgxo0+fPhEREVhWfHw8okUsJaLiWrTV1dUSUTWoKueGipYVWGZac3PzxIkTHRwcmId2dnZyAiGW5erqmpKSsm7dOi10FKVNQZ8OHTpUWFgYExODe5Aao6KiQkJCQkNDw8PDka6cnJyFCxda5uwlzbFjx/Lz8zErucSiXGmQZ81NOd0F16IgGDx48Pfff8/68qyJQjJcURRFsUBslCJt//79tbW1AwYMqKyspHiD9PT0sLCwXr16Wf7FmIUNDQ1y9qA5XlGsQUXLOowCpmWyzZs3z9nZmfoG3RLRotDBtZilH330kWU1RVHaAubXnj17MjIyIo3/0UpKSoo2/rZYTvZAQtLS0qqrq3fv3n3pHtGSUoD25ZdfxqkwSbI+lsVzDAoKog9YFqoZHBw8aNCgb775xgg8JuZWFEVRlDMwQ6TBwoULUan8/HwCKXJFKpE2MzMzISGBPFJYWLhx40YVLeWcUdE6R2655RY7OzsPAxTL1dVVDmpR2x0/flwqJHNVRVFaG6bYgQMH8vLy0Co0g0wpl+UNCwtDSFgYFxeXk5Pz1VdfXaIzkSco7alTp7KysniOPB35dRYxx8fHR54sbsnzRTUpF1hTI4+iKMpZQrR85pln0KrS0lIyCK6FXMXHx5NQMjIySCJyUvqTTz7JmhpalXNDRescufXWW7t27SpFDzg7Ozs6Ojo4OMybN0+++ZA6SVGUtoApxkQrKytzd3f38vLyM/60NzAwkEyJdfj6+qanp5MjH3300Us0O7ZkdYOnnnqKpyZXF4yMjAwwoE/6pyZgOU/2qquuOnr0KCuraCmKopwlRMvPPvssLy8vPz8/KipKgioZBMWiHxYWRkKBMWPGnDx50hyjKFaionWOPPLII507d0axXFxcvL29MS466Nb8+fOZupfu2UqKckkgUtG/f3/5wZKPjw8SgmjRp4N+kDgxEJmP5phLjebm5u+//57nEh4eThGAX/EE4+Pjc3JysrOzWYJu0bKC/C6UISpaiqIoZwnRcuvWrXV1daWlpampqfhVsEFsbCw3/f39s7Ky+vbtW1xcvH37dnOMolhJRxctppkgBcp/Y65nIDeloHn22We7dOmCXzk6OtK6Gf9W7OTkdOONN1oqnpYxiqK0ATJhy8vLES3yohzkgczMTFIjriXngSxZsuQSmolGyDFhtw8fPjx69GgPDw/yvfz2jGfKU6MakANccg2MESNG6LetiqIo1kKkJXhOnjw5KSkpJSUlPj4+yvhLRmJsRkYGMZaFgwYNSktL+/zzz1nZHKYo1qBHtFqQok1mkaVvQdY5ExauWLGic+fOfn5+yJWzs7Otra29vb2dnd3DDz8so8BcW1GU1kamWF1dHXMwIiIiNDSUpBgSEiJnemAjEBsbO2DAAHTFHHMpQPwBOvv27bvqqqvc3d0Djf8mFqeiRbe8DHi+3FVYWLh161YZoiiKopw9UqfdfffdhFNsCsUiayQkJJBK5EewZJP8/HyWv/XWWxpmlXNDRavlOtFMNqYQbVNT07Fjx2hbih1jibnSGbCQIYsWLbr88svld1k2NjZdunSh061bN5bL1sy1FUVpA5hlsGzZMrnEuZxWRwcPITuSMkmWUVFRcXFxmzdvNsdc9MiTInrs2bOntraWJ4VQ8bw8PDzoY1miWHiX/DLN29t77ty5eqKyoijKuUG8/eCDD3JyciorK4mo+FWicV0lwiwZhDCbkpKSlJS0ePFic4CiWImeOvhLQ0PDihUrrr766qsMioqKbrzxxi1bthw6dOg/XEv0yaiFflmyZAmi5eLigmsxFREtiqGePXuKaAkySlGUVof5xXx8++230arY2Njg4GA5tCWn2EUa13xnOZny66+/Nsdc9MiTam5uJhB5enryLHh2PCNXV1cqAIwrKCiIJ8VT4168i6f85ptv/keYUhRFUc4GiZzr16/Pzc0tLCxEsaKjo4m6ISEhklno4GAsrKqqIjLLKEWxio4oWlLNWNp//vOfXbt2xZG6detGB2vKMigpKaGIYWqxjsD65ib+93/vv//+7t27s7KtrS0Vj729vRRDt99+u9Y9itLWyJTcuHEjNhJn/FsxriWHtjAToJOZmRkeHv7uu+/KfJQhMvyigoghQQPovPfeezwRUSx3d3cPDw9awgvPRS71wTOlTwUwZsyYhoYGhpgbUhRFUc4aibqHDx8uLy9Hq9LS0uTMcwJsUlJScnIymYWWPnft2LHDHKYo1tBBj2jJ7IJt27Yxu2xsbORPhx0cHChxmGkY1BVXXEEB99FHH0kNJMZljv/f/3388ccRM8wK0aIeEt1i/fnz58v65nqKorQBcsbvrl27MjIyUI74+HhmbmhoKH3SpJxJyHxk4dtvv82aFpMxx19MWHaP9siRI+iTvb09fuXs7IxfyeVMJUBZ/q+P50XixzMZpacOKoqinAMSPwm8V155ZWZmZmJiImZFTiGhREdHi2glJCSQStzc3F588UVzmKJYQ4c+ooU73X333VQt+JWdQc+ePbt27dqjRw8nJyfsq1OnTr169dq8efN/V2l33XUXJsbcYzhWxsphYWHh4eHTpk2TNcFcVVGUNoAEyRQeOHAgE1D+8yQ4ONjf3z8mJgbL8vX1Fde67777WJn5yCyWgRcbEl5oGxsb586dy3PBrNh/npenpyd9kDCFgLHQ27ii/R133CElgoYaRVGUc6ClUDO48847CbxJSUkRERF0SCKUc7iW/FdhZGQkoZhykTXNkYpy1nRc0ZKyZuzYsa6urlQw1DGOjo7UMSgWbffu3fEulqNSEyZMOHHihKWgaZmUv/xy4403/v3vf6cA6tKli1iZh4cHWxgyZIh81w7ycIqitDoyhU+dOjVnzhymHknRcuFBMiUegnH5+PjEx8fX1tbu37+f+WiZwhcbsm/w3nvvFRQUJCcnk9fxRp4FWiVmhTTy1CAtLQ17pCw4efJkS5QxMDekKIqinDUSP4m97777LoG3d+/eaBWWRfoA4nBKSgpRFwEjIN9www2sKUPM8YpyFnTci2HIhLn11lvxJVtb2549e+JXdJAryjV3d3fpI1qUOBRADJEJBvSvu+66v/3tb/I1s5xASFXHqKFDhzY1NRmPoChKG9KiJv/616JFi5iAclE+UqOvry95MTg4GPtCUciaqampH374ocxc1jcHnx0y2dsa9ur06dOHDx8eM2YMT4T9Rxp5IjwvES36UQZoWG5ubnFx8Y8//mgOVhRFUc4VSQ3ffvttYWFheXm5iBZ1naenJwmFm+Hh4ehWVlbW6NGjZWUZJcMV5U/poKJlVGgtV/dCtK644gonJydH40Lt6BbFTUZGBsVNt27duIloce+8efNkgjFKhs+YMaNLly7y4y6G0MqRsWHDhlmunyGPpShKqyOTERYsWIBT+fn5yTEfdAst4SbQZ2FERMQDDzwgUxLM8WcH26e1dpS1yI7deeed7C2RhARPR54CHZJ9fHx8cnJyUFAQz4V20qRJjY2Nsm+KoijKuSGxF06cODFx4sREA/l3EPmSKywsjKjLzdzc3IqKCnNtA3MTivJndETRokBhkrTUaP/619atWylievToYWtrS4mDWTG1IiMj7e3tkSiW29nZ0ebn59fX1585cNy4cYiWnF6IidFxcXGhraurU9FSlLZGZiKdF154ISoqSk60k0sOiqJAeHi4nASyaNEiWVnas4e5TGvtKGth+6dOnerbt6/7r9cYpAWeC/vPs0tJSaHDM+K5sNqmTZssT19RFEU5N4xKzYylDzzwALVfRkYGbWxsLPE2JCTE29s7KSmJChCKiooOHz4sQ0C2oCh/Sgf9jZbA7KJ96KGHkCu0SkCxcCfkij6t/F6LAk5+5iGj4Morr5T/0cLQaFmZjXh6eiJaJ0+elHV4LFoZYhlLa9kHY3cURbEay5zavXs3KoKBkB2Dg4MxLmYrk9HHx4eb+Ak3V6xYcW7XjWAUrbWjzhJj91tgxz777DMyemBgILvNDtORlnyPbvFEeHY8R3jkkUf0GhiKoiitggRhWLVqFfEW0SLwolhBQUF03N3ds7Ky8vLyEhIS0tLSNmzYIOHXHKwoZ0HH/Y2WwOyqr68vLCwUs+rWrRsdOWlQYKGjoyOutWnTJsuhKrjpppuuuOIKzIq73NzcGIVx2dnZ1dbWyj/bmOv98svevXs3btx4+PBhWUhrudfcCUVRzpUdO3aQHdPT0+Pi4kiNgKuQHZETdMvPuJ7E6NGjZVaCOeyvxhIBaIkPNTU1RBt2Fd0iqshV3emHhobyXIgwzs7OHh4eM2fOPH78uASQi+e5KIqiXOps3bo1KSmJPIJQRRt/WxxgnCJB4CWt5ObmhoeH33LLLbKyRG9FORs6umjB6dOnn3/+eaaQHJ7CrGjl91p08Ch7g7vuuqulMjJg1IMPPnj55Zf7+/uzJpUQioWPsf71119PAcQ2T5w48dZbb40fPx6Lo06Kioqi2rP87420sgOKopwz27Ztq6ioKC4uTkxMZCaSEcmOzDhmNK4VYlwwKjMzc82aNUy6i0pOJAicPHly4cKFCJUchcMMaUnt3CS8sJx8z/PiKTz55JNypUFG8UQuqueiKIpySXP48GHJIzhVQkKCnERANvH09IyNjeUullRVVUn9BuYwRfkz9IhWy2w5cuRIr169kCUB16K1SBctFVtKSsru3btlfUqc5557DtGSY1loGK2TwZ133sk61EM333wz8/Mf//gHq2FrnTp1+p//+R/KpmeeeUYmqtZJitIqTJgwAb+SK/XRkh2ZmHJhjMDAQBInCXLdunUy78wxfzXsibB69er4+HhvAyIGLYqFWQFPgcjDs2D/Lf+czli5rqkGEEVRlNaCiDpw4MBo47+zMKuoqCgSCtmE8BsWFhYXF5ecnJyVlXXgwAFWllCsKGeDilaL8DQ3N0+ZMgWhQpkcfv3zYjoskZsUQBjXI488wsrAKPp///vfHR0du3btil9J6+rqOm/evPr6+uuuu44p2rlzZ1E16NatG+uwPg+xYsUKNkLZZ+6EoijnyrFjx4YNG0YijIiIoJXzBj08POQ3TvL/JzExMd99951MdnPYXw07QwRoaGgYMWIEcsUeyvE3YM/lcBYdkj3BZ8aMGaxsxB7TtWiloyiKopw/RNennnqKwJuZmRkeHo5rSRCWcyLII2lpaUjX6tWrLXFYUc6Gji5aRunS4jxfffUVMwqnQoqwIzkPECmCHj16oFu0tbW1jY2NTDCG3HrrrV26dHF2dsag5F4sC9daunQp8/Cyyy5jI6wA3AU9e/bEu9gaS4YMGSIbMXdCUZTz4IsvviD/yVEspAXXosW1aIOMS6InJCTcd999F9WMkwjw8ccf41SkcJyQ1M7+k925SRsXF8dN7AvXEkvUr2YURVHajp9++ikmJgatIvZaTj6nk5qaSkyWr+0eeOABDcWKVegRLZOGhobs7GxMCRdCsXAni2iJerGEiu3bb79lZabZ2LFju3fvjo8hWqzTtWtXpAsmTZr07LPPchdmJRfVkOG0rOPu7s52CgsLETadq4py/qAre/bsKSsrCw0Nxax8fX2RFiyLuebq6soSEmR0dPT8+fPlYjbmsIuAXbt2VVRUBAQEyJ7jhOw8xsjeEmpYzs34+PgPPvjACFEm5mBFURSl9SC6njhxolevXrgWERjFIhoTlv39/RMTE1lCZiFQ19XVNTU1aShWzh4VrX+zaNEiOSqFF8mpg+JIeBS+hERR+ixfvlzKtRkzZnTu3NnFxYWWlTErVmDllJSU6dOnM4Q+o8ByRAvRosP6CQkJBw8eZCPmTiiKch6Q9qZOnYpZYSZyGQk3Nzdu+vn5xcXFpaamkiBRmo0bN148B7XY5yuvvJIgwz6zq+RyOuw56Zw0Hx4eLke0rrnmGvYZJFxo0FAURWkLiK6nT5++9dZbkSv5g3jLj7WSkpLkuzBSSUlJifzZjzlMUf6Mji5aZ/LTTz9FRkbK0SdwdHTEoAQWcpPqLT8/f9u2baxMAcRC7kKfxMSombp160adZLmuhmVTIlrSsk50dPTPP/988dR8inJJw1SaO3cuMwtXIR3K4SxPT09uIi1kSrwlLS3t9ddf/8snHem5RZv+9a8333wzODg4JycnLCwMv2JXQa7ewfLQ0NCAgIDKysqdO3fKKBmuKIqitAUSZp999llyB4pFBEax5IQIOcVAvv9KT0/fvHmzDFGUs0FF69+cPn16/Pjx+BJOhRGhT3QsfazJ1dWVAuiTTz5pamrKzs7GoLp3706LU1HksQI3KfIA+2KJmBXLLR0RrSlTpshlms0HVhTlXJF59Mgjj8jVaMiRIlrYC6kRbyE15ufnp6SkPP/883/tpOPRUSzaH3/8keRNVCF/gxzOwrKADkFG+mvXrmVlPcdYURSlrZH4/OWXX7oZ/8eDVsnhLDmTkIhNoOYmDvbaa6/9talEubRQ0fo3zJzvv/+e6YQOyXmDlG4iWs7OziyheqN0Q5NOnDhx5ZVXijshV3gUHdZHogDvYiHQZx1gBfrYFwu9vb3fffddHksnqqK0Ckyl7du3p6amMgfxE+apiBaW5efnR5osLCzEXp544om/fNKxA8ePH+/duzd7GBwczO5hVpghu01sIZGT3ZOTkwk7U6dONQ59tVyqh9YcryiKorQBkh02b95MsoiMjCQ+JyYmYlbx8fGEZVyLm3S4695779X6TTl7VLT+DTOHguamm26yt7en9EGQ5OgWNzEuoEMl1K9fv6NHjzLTWMfT0xN3orwDXAvk4JXhWS0YntVyFAu4t0uXLmPGjGloaOCBdKIqyvnDPBIVmTFjhp2dnZyJ5+3tjcOQKeVMvMzMzISEhMcee+wvNxZ24M0338SyLL+3JqSwk7SIFjejo6PZf9K5/Lk56zc3N5uDFUVRlLZB4u2ePXtIFgTkoKAgOe0c1yIy06alpaWmphKi582bp/WbcvaoaP0bZg48/PDDyBWKRdHm7OyMXNHHkfAlV1dXNze3xMTEbdu2PfPMMywX0eJei1PRR7rkEBYLpQMoFuuz5P333+dR/vKCT1HaB0wlYE498MADTM/Q0FBEhTTJ3MS1SJBkyoKCguzs7MWLF7OaOexCIZPd0uKEEyZMILD4Gpe+kDMG2U85+IZrYV+dOnW66qqrzPGKoihK20N8lkA9adIkOYUbpwoLC6OlT4gmleTk5GRmZvbp0+fQoUMS0gVzE4ryW6ho/RuZNps3b46KisKIEC0sy4LcpJKDiRMnLlq0iHqIgqlr165yOMviWnT+m86dO3NXcHAw26fY0smpKK2FzKaXXnpJfqMlR7REtyIjI1GXwsLC3r1719XV1dfXm2MuFLJvQHiBN998U05uJBSwe+ykXD6YvE4iR7QgMTGRKMEQcxOKoihKG2OJ0rfeeishGq0id6QYEJzlSzGWoF70v/nmGyOut2COV5TfQUXr38icaWxsnDJlCuKEWYEc2rKcGSgdXIt6jrvkohcYVI9fMb3qDOReVmNsZmbmrl27eBQmM635wIqinAcylZATtAp1CTUu2edhXOcd5JCRnJX3008/yZALhkx2+W5l3bp1qamp5GnStpzWyH7KeSmEFJZwF+1zzz2npwsqiqJcSKQqo33sscfIGtgUrpWQkBAfH09YJlazhFTCQkdHx1tuuYU1gdhujleU30FF69/ItGGmvfrqq0gUgoQa/QdIF9aEa6FYtBbFEqGitdwE5Ip+i58Zv92CqqoqRE7qQmkVRTkfJDXSHjx4MC8vz8XFhRwpadLT09PbgJuJiYlI12effcaagjm+7eGx2MPt27fX1taSrcnT7BseCKRt5DAoKIidjIiIoL3mmmuOHz8uo2S4oiiK0tYQcuUbse+//17OFYyOjpY2KiqKKC0tqSQ2NjYpKWnv3r2SemjNTSjKb6Gi9W9kwtBu3LiR6YQXoVU4En6FREkHDG9qQdxJ7rIoFn1GcbNLly6y0N64NLwc0brxxhvNB1MUpTWwJDk6U6dOZcaJaAkojYhWamqqg4PDSy+9xAQXZNQFgB07ceLE3Llz5XRBUji7hPWxbyBL2EMyek5Ozr59+yQKmYMVRVGUtofAK6LV0NCQkpISHh4eYlysCKeiA2FhYZ6enpGRkSwhdG/ZssXIJCpayp+govVvZMLQUhXV1dVdfvnlctIgUL2JUAksoW3xql8PWOFRolWOxv8as0Lnzp25yXJEq2vXrs7Ozn5+ft9//735YIqitAZGpmuZuXDTTTd16dKFXIi3IDPkQuyFlqkXFxfn4eFx1VVXyfrA+uYm2hJ5oBUrVrAnZG6CAzsTEBCAaNECiVxOI0QFP/roIzI9MISB5iYURVGUNsZICyYFBQWEZYQKrSJuE58J1KQVAnh8fDz3BgUFIVrEahkoW1CU30RF69/IBAP6zz33HMqEXIFolfQFuSlmJfdajmjRQc+4F8WSdWgp/lxdXQcMGCDTUlGUVsSct7/88sQTTzD7yIjIjLgWiNVERESQGmtqaurr61mzRcsulGh99dVX5GYePSwsjDgg++bu7k4rOxkaGsruLV++vLm5WXYMGGhuQlEURWljWlLIr9+2Dx48mFidnJxMcJaf/hLAQ0JCfH19aYnnZJlnnnnGMsTchKL8Fipa/4YJIy2sW7cuKipKPIrSzd7eHl/iprQWreKmRcNEtyy/y2K5rNa1a1dRr4ULF8pDKIrSWsicoiXbvf3228w4TMbDw4OMSHbEZ+SbyODg4PT09LS0tG3btrFyW3/lIftDZ8uWLUOGDGFnyM3shvHLrJafZrE/eJc4YXR0dE5ODjFHRtEKsilFURTlAmBG3l9+mTlzJmUbRSDExsYGBgaSO4jY4cblMZKSkuLi4ubMmUO4JpWwvjleUX4LFa3fpqGhYdy4cTiSo6OjuBamJDZFJScnCspNWUKf1WgZAhYTw9BY2dXVlfaVV17RCakobcenn37qZhBi/H1WUFAQboNrRUZGkikzMzM9PT1Xr17NmszENv0aUrLviRMnpk6dik2FhobSsmMiWngXosXusVfg4uIyZcoUhrTpLimKoihnw9KlSzt16kQekdMNUCwCtZOTk7Ozc0BAAK7FwoEDB9bX16toKX+KitZvQ8Vz/fXXd+7cWQ5YQYtm/QoGJSol/TOxiJasQMtNJieq9t133+mEVJS2Y+vWrfHx8X5+fjiVmAx9NAbJiY6Olr/5f+utt5iGbT0T5ZvO119/XU5ZBCzLy8Db+PEYBshCsri9vX1ubu6ePXsYovFBURTlL+fzzz+nbEtLS7OcekAp6ODgYPmOjMwSExOzfv16c4Ci/D4qWr9Nc3PzsmXLRLHEtSyKRctNi0eJSgFWJh1goaxvbMDGyckpPT398OHD+o21orQdp06dqqmpQWkiIyPlt08kRaAD+ExISMijjz4qogXmsDaAmf7cc89hWWTrwMBAUrW7uzuW5eHh4enpSZKWfXN0dBwxYsTRo0exMv1mVFEU5WLgwIEDycnJCBUpg0BNQiGAE7cJ5iyh5a74+PhPPvmkrVOJ0g5oK9GSDx+Yty9BPvroI19fX2RJzgnEl+gI9EWxoFu3bpgVrXQsS0AOcFFLsfDaa6/Vb6wV5TyRGfR784jls2fPZsbFxsaSCJOSkmJiYsiOeA5ZMyEhgZtPPvkkStMWk5ENypZh69atqBRO5W9cVBAQP0SLJYBusZyEDZs3bzbHK4qiKBcBxPApU6a4uLhERUWhVSQUAjjhOiUlpbCwMDU1NTo6mvrQ8rWdOUxRfos2ES3LJ8/SuRTZtm1bVlZWly5dsCyUSRRLjIsWmzI86zcwnKsFRnXu3NnO+DOuWbNmXdKvhqJcDMgkAvP2f7Fs2TJ3d3fEBquRUz4CAgISExPDjT9FYUavWLGCJPrHGzk3DMNq2TK6NXPmTHyPDI1WYXrsg4+PDx32h/TMzpC26d93332sbI5XFEVRLgII40uXLrW3tw8NDXV1dSWSE7fj4+MrKytLSkry8vKys7PJMosWLWJNwr45TFF+i7Y6osUnr6mp6dL9/DF5GhsbBw8ejC+hVegT1iSId7FctAq4aelYltPHsuiwfkRExJdffsk2wXwARVGshxkkMmPe/r9w19133205MQ/RCgoKIk3KYSVUJyMjY+rUqTK81aOT7BvitGXLFqY8IHs8KJCkRbGkJWGjYdOmTTt58qSKlqIoykUFkfzpp5+2sbGJjIx0dnYmiTg5OaFbMTExcXFxiYmJJBf6kk1aPZUo7Yw2PHWQD9/v1UMXP+w5DB8+XGRJfEk6YDErELOitXRoZQW5lgYDZ8+e3dzcLNs0H0BRFCuRGSRTyVz0X2zbtq2kpIQsiOfICYRubm7exr9p0U9JSSkvL0dv/mAL5wwRD9i9m2++GZtiHzw9PS1nDLJEzuxHAtmlsrKygwcPyigZriiKolwMEJZ37txJ1iBc41p+fn729vbu7u6Ojo6IFpnFw8MjPj6+qKho//795hhF+R30Yhi/DXUYM02u8C7HqWjlWBYgUWD8Dsu8krvctFwPg/WlY2NjY2dnd/fdd7O1liJRRUtR2hIkqra2Njg4GKsJCQmRXzALLCQ1RkdHf/fddzIfzTGtBNtsamp67LHHoqKiyNDAo6NYiBY74+/vLy0ggT/++CPrC+Z4RVEU5SJAqrWBAwfKCQiEdG9vb8kj4eHhWBadmJgYlq9du9Ycoyi/g4rWb0P1wzRbuHAhmnTmT7MEi1mBiJYs6dKlC64FdKBTp07yTfb8+fMtv5I3H0BRlDaAKTZ+/HgxHDltD0iKoaGhJMjIyEj8Z+PGjazGBDfHtBJs84UXXggLC5OzFml5XLTKzc2NFssS43J2dn7wwQcJCOxAW+yGoiiKcj4QluGBBx4glQQZ/8coMZyoHhISgmjRJ5VgX++99545RlF+BxWt30aqn0ceeUQOSSFR/y1aLScLnvGLLFq8SxRLBOyyyy5jKlLeVVZWHjhwQIsqRWlrmGJPPfWUvb09eZHsiG4BqRHFQn6YjBjX6tWr22IyMsdLSkpcXFx4ODlZseX7Tz8//Iqd8fX1ZSG71Lt374aGBh5d9oHWHK8oiqJcBMgXYffeey9OFR0dTRIR3cK7aMkm6enpGRkZsbGxV155ZaunEqWdoaL120gNtHLlys7GZQNpjaNWLTYliGWByJUsFMuyHNFCtNAzNze3UaNGHT9+XIsqRWlTZIp9++23SE5UVBTZEcORK1LgV+I8JMhJkya11s+02Ig8aH19PRnX1dVV5AowKyAxsw/BxuXd6Tg4ODz88MNyfNsy1tyWoiiKchEg8Xnjxo1YFqE7Li6OGE4eIYPIn3NwMyUlJTw8PC8v79ixYxLMzcGK8n9R0fpdmDZPP/00vmRraytHqGhFq6QDhk/926zOhHsZ0rNnTyqt+++/X+atFlWK0nYYye6XHTt2oFUkRTwnzLjCO8ZFRoyIiMB/6JSWliJa5pjzQx6xqalp/vz5bDzQuAowHR6RDjd5dCKAHN3ioceOHfv9999rHFAURblokRDd0NBQVFREDI+KiiKek1MEQrqrq2tkZCT9xMTEH3/8kSwgAxXlv1HR+m2kfnrzzTflB1qdOnWyMf6k2CJXZ8JCXIt1zNvGEukwlhrrscceE9EC8wEURWkDmGjNzc2ZmZniPPJDKTEuYCEOhmidOnWqVSYjG+ERP/roIyTK29tbjqHR8qB0eCy5IIeXlxf3Pv300zwu64M5XlEURbn4kNheV1eHTcnvsgjpjo6OEuTJJklJScnJyfHx8Z9++qlkEy3wlN9EReu3YcKcPn160aJFmJKdnR3KJMbVw7gCocWj6ABL6MtxLVkC3GQ5LXPy5ZdfllN+dR4qSpsis6yqqiouLi46OlqOMiE5uFZUVFSiAVK0Zs2aVpmMbGT79u15eXmoFAkYAoz/JuYRaZn7gOy5ubn16dPnyJEjGgcURVEucuS7MAL1rFmzXF1dsSl3d3fkijwCkZGRqJecPZienv7iiy9KSNdv0JTfREXrt2HCUBLNmDEjIiKCGYVBIVo2Bv9xXEu0SpCbshwuu+wyXIvZeOedd7JNpqLOQ0X5Y1os5Fw9hPklw+fMmYNNkR3l34qRH9rU1NSkpCREi0n9yCOPyJrmSCuRsfJwt912GzHBw8MDy0KuSMO0IniQkJAQGxtLEHj88cfPHCt9RVEU5WJDojS89NJL5I68vDyJ6rRAPJecgnGRUG699VZygaQDc7yinIGK1m/DhGHafPXVV+Xl5VROWJNcDAPR+o+DWmBRLDm0BaxD7SUdZuPChQtlEtKaD6Aoyv+lJVOd9xm2MnzZsmVeXl64FmYVHR2N8DANQ0JCyJQxMTEsueaaa875UeQhgL1dt24dHoVisWUe0fi6s+XqgngXLY/LPri4uIwePbqN/iVZURRFaV0kVhPhP//8c2I4WUP8ijzi5uZGSA8KCoqIiCCVkFbkstJGTtAIr/wGKlq/jRR8hw8fTk9Pv/zyy3v27CkHslApOuJadEA64lf05QRCOfbFavSZn3Pnzm1qapLNyvYVRfkPmHGnDc45XTGQKQYvvPACcxbbIQuSGnEeLMjd+HMtvIjESWo850dh+7KrtNOnT2fjsn1ciw6iJacR8nAkZkdHx4SEhN27d5/P81IURVEuMETsnTt3ZmRkuLq6Bhh/1SOnOJFT5Mu1uLi4yMjI/Pz8rVu3Sl4wRyrKGaho/TbMGQqjkydPVlRUMK+o2JydnR0M7O3tkSixLEGOX4lxWUxMrIw1XVxcqqqq9u/fzyTUeagov0eLIZ33gV/ZwgcffMAclGlLUqQjV6TAfOQ670VFRXv37rU8kFUTU/aQ9qeffoqJiQkKCsKveBQ2a5xX0nL2oCCHud5+++3m5ubzeVKKoijKBUMyAu2pU6fGjRtH4RcYGEg8BwpCdEtifkJCQnx8fHp6+ubNm1lZRinKf6Ci9btILfX1118zzajSrrjiCjlmZWtrSw2HQdGXDm1PAxSLm5gYfe5lfVmhsrLy+PHjbFCLLUX5PZgdmzZt2rlzp3nbeiTVwbvvvss8Fe0hQYpoSWoMMP7On9T40ksv8YisLANlC2cJA5uamm699VY2K1sGeTjMSq6HwWMRCqqqqti4iJa1j6IoiqJceIjVFu677z6iOngaEOrDwsKCg4PRLbnwYGpq6ldffSUrm+MV5QxUtP4EyqOtW7cuXry4qKgoJSWFygmbwqMwKDpdDSxHsYC7HB0d5T+OWU4nOjqaso8ZqJWWovwBzI5Tp07hJOc8TRgobNu2zc3NjdRosSASJLol+TIyMjItLW3OnDkyJQVzE2cBKzPwySefZJtsnxatOnP7KBawhPapp55iCOvLY8kWFEVRlEuCF154ISAggPIvKiqKDnGehBJikJiYmJeXR0J58MEHCe+nT582xyjKGaho/TlSJH3wwQdZWVly6qCzs7MYF2aFSnHTycmJDjflKBb32tjYdOrUycXFhUpLKjNaMDeqKMr/RWYHM0Vunhuykb179wYGBqI6aA9Jkezoa/x0ShQoJiYmPT19wYIFrGlMbusUiPW3bt2akZHBBkNDQ2nRLbIvuuVn/H0WsJxHnD17dsuc/3XjDJSOoiiKcknw888/p6amkk0SEhKio6OJ7REREXLSOFkmOTmZ/g033GBkEo3wym+govUnMHOok2gbGxvXrl37+uuvL1myJDMzMyQkhEqroKAgNjYW+0KoAL+Sq8C7ubnhXazzxBNPyI/gLZjbVRTl/8Iss0wWc5H1MJaNHDlyRP7LH+dBhOTcejKl/G4qMjIyLi7u5ptvli8grf0aklAwefJkthYWFobC0QHjsJk3Gyf1QnBwMN715JNPynORMCJ9RVEU5VKhubm5urqaPIJlEdup63AtII+QUEgleNe4ceM0wiu/h4qWFchEombav3//zz///NNPP33//ffPPvtsRUUF9RyKJd9tU29lZWX169fvs88+Y2UGSqsoSpsi05P20KFDKBDzkZaMKOfT40VCYmIiS5YvXy4rS2tu4neQFWjhscces2wWxUKu5IgZEx+5gqCgoPDw8CVLlpw4cUKGK4qiKJcixPzhw4e7ublJEiHa0yYkJMTExKSlpdES7TMyMvbt28ea5hhFOQMVLetgIlncSfqnT5/eu3fvqlWrPv744zvvvHPevHlvvvnm9u3bjxw5Ivfq3FOUC4NMSdrjx4+XlZW5uLjgQiRCQ6/C4uLikpKS5GZISMjgwYNJjTJDwdzE78BmZTq/++672dnZKBzJFaGig2vR4ldy9AzjYvuk4YaGBoaY4xVFUZRLELLDY4895urqGhgYKKcLehvXVSLOR0ZG4l3Jyck5OTk7duyw9uQIpYOgomUdTDmpt6TzHzfpnDx50rLEMsTSVxSl7ZCJJhPzzjvvdHNzIxdKdvTw8ECB6MjRp9DQ0KioqI8++og1z5ytf0Bzc3N9ff2MGTPYAv7GpgCzajll0LjYBi1LeDhWqKioaGxsZJTOfUVRlEuaNWvWhIeHx8fHE9tjDGJjY7OyslAsHx+f1NTU9PT0LVu2aLRXfhMVLStgFv0HFtcCKdcscFOGWFpFUdoaY/K1TMlnn30WC/Iz/skK+UGNQow/miRT0iYkJLBk1apVrClDzPG/Ays0NTU9/fTTKSkpjo6OqBrI1ki60dHR9HksOZmQh3vhhRcYIhs3N6EoiqJcahDD9+7dW1paSqh3N/6GnoCfl5dXVFSUmJjo4eFBm5mZ+corr2i0V34TFS1FUdohBw4cIP+RFyMjI0mQ8fHxJEi8KM6Am+gQ4oQLmQN+CzEl2tOnT69fv76wsNDJycnNzU1OFKTF4sLCwqKiooKCgmhZ6OzsPHr06Pr6etmypl5FUZQ/QILkRfu1FHvV3Nw8YMCAkJAQBwcHV1dX4jzJhZhPTgkPD8/JySE1/POf/9Ror/wmKlqKorRDjh8/npCQ4OnpiWhlZGSkpqb6+fmhRnLWBwmSm08++eSZR57/G5ZL+j9x4sRNN92UkpKCqslZguDh4SE/0KITGhpKGubm5MmT9+7dKwPNrSiKoii/w5EjRwiwF62lyI5NmDBBIrz8WCspKYmYTxYgI5BK8K5p06adOnVKhijKmahoKYrSDjl8+HBWVpac6ZGenl5QUCBHsXAtOdkD3Zo7d25TUxMr/16Ol/OBGxoa7rjjDjIrzhYWFkZylWNZcolR+sCj+Pr6ssIXX3whbgYX7Xe0iqIoFwnNzc2WmGkuuphg3+Dee++VU9ARLTJIUFAQuQDLAjlHPTU1ddWqVeYYRTkDFS1FUdoh5OyBAwd6enpGRESQFOWXVKEGKBZGFB4ejoD9/PPPkuPNYf8XluNazz//PEPkd1lsTTooFvmV7cuBMjZbU1Pz+OOPnzhxgg3KWFrpK4qiKH8AAVNi5sUGe0UWeOCBB4j5yJVkEzpyLoObmxsClpGRER8ff/XVV1uehUZ+xYKKlqIo7RDy3IIFCwKMa++iWGRBiIqKIkEiRXJhDPQJNbKkxv9G7ho9ejRmxRAZRXLFrGjJu9In0bLZO+64o7m5WUbJcEVRFOWSRs5r+PDDD+WkQcwqKSkpIiLC3cDBwYG8kJqaSrtkyRIjY7SgoqVYUNFSFKUdQp57//33g4ODs7KyCgoKMjMz4+Li0CGWBBkXeaeDgN13331/kBFJsTt27IiJiUG0SLGMkgNZllbOHuTevn37/vjjj+RXycrmeEVRFOVShgQBR44cIYNERUXZ2dkR8D09PTEu1MvR0ZEUQCqhFdFiZU0BypmoaCmK0g5BeNatW4cOIVdkR1wrNjaWdCi/s/L39w8PD09KSvrggw/+IClu3769trYWxcrJyQkJCSGtilkBWwBucm9JScnXX38t+Rg0yyqKorQPLO6UmZkZHBxMzPfz8yMFkFzICOgWrhUTE8NdgwYNkv+plyHmeKXDo6KlKEo7hFS3ZcsWkl9AQICPjw95Eb+Sn2YB1oR30d52223/kRTlJpAyp06dKieKVFVVIWkuLi5shywLWBYb56aHh8ekSZPq6+sZKJy5tb8WdsbsGX25eeZCRVEU5Q8gYBLSaQcMGODr6yuWRU7BuJydnUkQDg4OQUFBcXFxGRkZ3377rZzUAOZ4pcOjoqUoSjuE1Hjs2LFevXqJFHl5eUVERERFRSFXEBoaim6RL/v373/gwAFzjIEkSIa//PLLciJ+YGBgZmYmQ1xdXcmvlkTLcvpXX331nj17Ltq0KiWCtLKT0iqKoih/iiVyXnfddTgV2YTg7+Hh4ejoiGiBi4uLp6dnfHw8C2+//XZWlngrwxVFRUtRlHaIkRxbvoN0cnLCsjAiuRhGQEAAyhRs/I9WUFBQbm7utm3bzkyKFjOZNm2aXPGCJMoWMC4gxQJjWULGZZsnTpy4aH+X1fISnJH15SbIvYqiKMqfQghtbm5+8MEHe/ToQVIAV1dXe3t7FIv8QoKAkJAQksXEiRNZWYbIWEVR0VIUpR2CTtTX11dXV5MIRY3kF8xyAmFERER4eDjSFR0dvX79+jPdgz45cvXq1XFxcazPWDkX30imLcbFKDc3NyzLzs7unnvuYWW4OO1Fngvs27evqamJm4J5t6IoivJnSBR96623kCv5li3IQDIL2QHILIhW7969Dxw4wMoaZhULKlqKorRDyHOI1tixY7EjciEpkOyIIMnNmJgYXIs0SbLEqQz7+DfvvfdeSkoKJhYfH4+eMRYYxXBaRjGWTn5+/qFDh8zHuyiRp3P69Ont27efOnWKvnmHoiiKchZIFMWdPvvssx49esjvshwdHQMCAsgCsbGxZApJK7gW+eLZZ5+V9c3xSodHRUtRlHYIqa6xsbFPnz7u7u5kRFdXV/mlloeHB0kxODiYmyynf/PNN8u5fy1fWv7rX2vWrMnMzMSsSJ+RkZGBgYHiWqwZEhKSnp5uucDGm2++ySjz8S5W2MPm5mael+wqrXQURVGUP0ViJhw6dCg7O7tTp07kFBcXF/ICSSQ5OTklJUXOcRDpGj9+vOVv6xUFVLQURWmH4E5NTU2DBg0iI5L85MR6HAlIk7R+fn4JCQm408CBAyUvkkqPHDlCmsSvgoKCSJz4FWvSwbKcnJzIo2VlZdxFWh0yZMixY8cYYj7exYrs4ZmtoiiKcpaIMhE84eabb0a0yCnOzs5eXl7kBbID2Nvb+/j4kGgCAgL69++/b98+FS3FgoqWoijtEBGnxx57zNHRMSwsjKQoB6kQJ7IjHV9f37i4uOTkZERrz549rN/Q0PDSSy/FxMSQRNEw8Ss6tHIcjFGsz6a467nnnuNReAh5uIsW9lBeCulbWkVRFOVPIX5artiOaHXt2pWcAqQJOzs7OZMQXF1dSTGklcLCwsOHD5uDFUVFS1GU9grZ8dNPP3V3d8eRSIEok49xWV5MCUSfAgMDBwwYsHbt2kOHDk2fPj06OpoMymrcy0Agg9IH1sTBUCy2s3jx4sbGRjUWRVGUjsPzzz9PRiAFBAQESHZwcnJCsUglYlwtp0wEB2/ZskWPaCkWVLQURWmHYEGkus2bN+NOJEJMiVyIbgniTiyH6urqW2655dprr42Pj+cukiWiBcgYfWBN+hEREUFBQWhYRUXFgQMH5DtO88EURVGUdg0BH4MiTfj7+wcGBmJW5BQShIODg729vZwHkZSURO54//33NTsoFlS0FEVph4hoff311yTFuLi42NhYUqN4FNlRoE92zMzMLCgoKCoqwqNYiHrJOvKFpfQZyHB0izy6Zs0atm85H09RFEXpCPzwww8pKSlkjbCwME/jxHK0ysnJydbWFtciQURGRpI4li5dqke0FAsqWoqitEPEglauXBkVFYVoxcTEhISEYE0uLi4kQvEoaZEoFCs8PJz0KQevWE2OeskhL1YDX+NvuGbOnMlmT58+TR7VVKooitJBIKfU19f369evR48egYGBkhewLAcHB0SrZ8+e9FEv8khFRcWxY8fMYUqHR0VLUZR2iBzR+vjjjwsLC5ElOZxFXqSPSoll4U700SduilDJGYNyk9Y4oNVyRIuF/v7+SUlJ33zzjR7IUhRF6WgQ+U+fPv3UU0+REUgoZAQ6jo6OkjssX+FBXFzc66+/bg5TOjwqWoqitENEtHbv3p2fn+/k5IRlORsX5LXkwjO9i44sl2R5JizEtVgHB7v66qtly/IQiqIoSgdBIj85JS0tzdfXNyAggJbsIGmChEL6INcEBwezcNq0aTJKUVS0FEVph0hS3LdvX1FRkeRCTwPSYUhICC1LaLmLhWJTIlpAH+jIcS1auffKK6+ULzXlIRRFUZSOA/EfqqurbW1tSR+kBsyKTOHs7ExL397enmTRo0cPkoU5RunwqGgpitIOkYx44sSJWbNmpaSkiCwBHcmOpEYkymJTAn2WSId15C5G0Q8KCvryyy/1d1mKoigdEBJKyw9z//Wvq666qmfPnp7Gj3jlazuyiZ2dHTc9jPPPSSLDhg1ramqSUTJc6bCoaCmK0j4hI+7Zs2fu3LkDBgwQyyL/AUkR6JAXz0SOa7EcuaJ1dHSkw0IvLy9Eq66uTq+BoSiK0jExvrtrca3Fixd369bN19dX/jUrICCANGFjY0O+4Kbkjj59+hw+fFjWpzU3oXRIVLQURWmHSHr78ccf58+fn56e3rVrV3IhKRBEtDArtIqWJZaWJXKXrMMQcieQUx966CHZpmZNRVGUjoYEf7LAmjVrQkNDfQxIDZ6eniQO1MvOzo6sQSoJCgpKSEgg+1hGyRaUjomKlqIo7RDJiPX19Y8//nhOTo69vT2+JB7l6Ogopw4iVBZaDOzXU+2lw8oM8fLy4mZRUdHBgwdlm5o1FUVROiAS/w8cOFBcXEyO8Pf39/PzI1PgWqQYBwcHkoWHh0d4eDi548MPP5QhIMOVjomKlqIo7RBJb3D//ffHx8cjV6JYtFiWxbXIi6ZpGa7FQlrgLvIl+Pr6kjJvvvlmc3MqWoqiKB0Sgr+cQE5GIDuEhITgV7iWl5cXlkWmCAgICA4OTkpKon/PPfewvuYLRUVLUZT2CRmRJPfGG29ERUX17NnTzc0NvyL/iVBZRMuCOBgdMigro152dnY+Pj4RERH79+9nU2pZiqIoHRZJAfDKK68gV2SWoKCgyMhI5IqsQcrw9/enHxcXR+KYP3++XKJWs0YHR0VLUZR2SMuxJ4O33norISFBrhAl+iSWhVDJUSwLshyQMW9vb1ImC0mikydPJlOyKSPDtmA+hqIoitJhMBPAL798/fXX5BSyQ2hoaEhICH1AurAvcgcLAwICJk6c2NDQIOub45UOiYqWoijtEElvx44dKy0t7datG/okx69o0S3p0Ip9iYDJES1aAd2ytbXNzs5+/PHHLZlSjpJJX1EURekgSOSX9uTJk3l5eaQJ5CowMBDXkjwCvr6+ZBM/P7/MzMzPPvtMvqEzNqB0UFS0FEVph5DbkKKvv/6ahCdChUSJX8mBLDq0Fiyi5Wjg4eFBPyAgoH///lu2bNFMqSiKolhYsGCBvb19XFxccHBweHi4l5eXnZ0dWcPHx0d+vhUWFvbAAw8gWuYApaOioqUoSjtE1Ojdd9/FoM78XRYgVAILaS0LaVEsy3L6/v7+EydOrK+vl20qiqIoCrzzzjskF2xKfpfl6elJoiGJ0AkICIiJiSGPyGnn+j1dB0dFS1GU9sm//vWv3bt39+7d29bWlvxnb28vunWmXIFFtzArWejl5UWmJGs6ODgsX75cz/1QFEVRzuTrr78ODAz08/PDssDDw4PcYfxWy5ObCQkJLCkqKtLv6RQVLUVR2iGiRjjS5MmTu3btijUhWm7G/2gJYlaATUGLeBmWhXcFBQVVVVVVV1fffPPNx44dU9FSFEVRzmTLli2xsbG4Vnh4eGhoaFhYGImDTnR0dFxcXHx8PHfR2bp1qzlA6aioaCmK0g5BjU6fPr1v375BgwaR/Dw8PMSmRKvk4JXlJshNTEzu8vPz69u377Zt27AsMDeqKIqidHjIL3v27ElMTCSzkF98fHyioqJCQkLo4F30IyIiuImJff/99/o9XQdHRUtRlHYIuQ1BWr9+fV5eHtkOd7K3t3d1dbVolRy8Elocy1jCCoBr9ezZMzk5+euvv5btaKZUFEVRBDLCqVOnampqunfvHhgY6OXl5Wn8gwhJBNfy9/eXfy729fVdvXq1po8OjoqWoijtEHIbIFpRUVF2dnbIFSkQWk4WNK54IU5FB8ViCS3GxRK5cgZDSJ//f3t3/h1lffd//C/oqQVDtslkn8lsmeyJSVkEtaDidgAXxGqxiiBHaxUtp1ittrJqcamIWFvqUvTUrbYIqMeqWBVxAQRlqQlwQLayJoTMJPf9yvW+nG+63V8gk0kOeT5++JzPXLk+18wvnuHptcyHH35olSXucQEA/Z6+FJ566qm0tLSKigpVVqHzM/c+n8/mSqzy8nIF2KuvvsrXRz9HaAE4BTlx1NHS0vLYY4/5/X6FkyJKBWWhZeevNMnKylKD2UanvDpPZ+mb8rzzztMXZFtbG6EFAOhK3wj6alizZo3iKhgM6ttE3xoFBQWJ4tIkGo2GQqEFCxYklvA90j8RWgBOTdZI27dvv+SSS7qeuVJZqbs0V2XZRH/VV6MyLCMjQ5OampoXXnghHo+7BwIA4J/t3bv3jDPOUFnpu0P0PWIXROhLJBAI+Hw+tdaNN96oryF9GWl/+0qyteg/CC0Ap6DO/3noOHTo0B133BGJROzqQfs6tOgy9r0oeXl5fr9fX5DXXXed8kxr3WMBAPDP4vH49ddfr2+Q8vJy+x6xSweLi4vtwRjV1dUXXHDBgQMH7MvIuIvRbxBaAE5B9v8ONR48ePDSSy+1awW7PgZDE0lUliaKLn1NTp06VUv0Dco3IgDgP9KXizzxxBP6QiktLbVvFruAULRFowJs1KhRa9ascQqLL5R+itACcAqyLzazbNmyYcOGqaP0XWjXDVp02aivRlVWRkbGiBEjHnnkkZaWFi3REfQlaocCAKArC6133nnH5/MVFhbmOfcAixVXMBj0+/0KrZqamiVLltjO7kr0M4QWgFNcPB7/+OOPx48fr6waNGiQfR0qt6yyOk9s5eScf/75L7/88rFjx9w1AAD8Fwqnjo6O9evXq6ZUVvoSsdzSWFxcHAqFNEYiEeXW7NmzrbLsf+GhvyG0AJziOs9qdXTs2rXr3nvvra2ttcoKBoMXXHDBhAkTzjzzzLFjx7700kuqLB6AAQD4/7KvlcbGxvr6+oKCAoWWx+PJzs7WvKioyOfz5Tv3/eqLZuLEifbNwvdL/0RoATjFOVdttOtLLhaLrV+//p577rn11luXLFmyceNGfU1u2LDhiy++aG1ttd3cNQAA/CdKLBt37NgxbNiwQCBQXFxcWFio0Mp1fo9RreX3+1VfoVDorLPO2r9/v75cbBX6G0ILwCmu69db4gvyXzYmuJsAAPhP7MtC7dTc3Dx58uT09HT1lVqroKDArh5UemnURm2prKz8+OOPbYm4h0C/QWgBAAAAx8suf9D4/PPP262/Siyxx9ja/VoZGRk5OTmZmZmLFy9WYsXjcS6a6IcILQAAAOC42LkpuxpQoeXxeJRVWVlZyipNvA6ll7YUFBQotK688kq7Ot1dj/6E0AIAAACOl6op7vzc4uuvvx4IBHw+n+LKfgFfo+b2MAy7d2vw4MFNTU08DKN/IrQAAACAE7Zhw4aqqir7pZAChz0JQxNFl4lGo++//767AP0MoQUAAACcsEOHDp1zzjn5+fkqq+Li4jznkYOJXzFWfWVlZemlQquDJ2H0S4QWAAAAcDIuvfRSv9+vstLoPAuj82EYSixNFF3KLTXYRx99xD1a/ROhBQAAAJywjo6OMWPGeDwe1ZTP4fV6FVei3FJr2Y9rLVmyxO7pcpeh3yC0AAAAgBOmdpo2bVpaWpqaSkGl3MrJyVFcWW5pLCoqKi4uvuuuu9od7jL0G4QWAAAAcMIUWr/5zW++9a1vKbE8Ho9yS6ElqiznQRhuel122WV79+4ltPohQgsAAAA4GW+88UZaWpqayuv1KqvsokGfz6eJXtr2ESNGbNiwgUsH+yFCCwAAADhhaqeNGzcqpXKcx7vbfVnFxcV+v1+hVVRUZOlVXV29fPlyQqsfIrQAAACAE9be3r5nz57y8nKVVSgUstySkpISVZZoi7YrtB599FF3DfoTQgsAAAA4GXv37h01alQkEikuLrbHD+bn59s9WvaEDP0pHA7PmjWLM1r9EKEFAAAAnDC1U0tLy80336zKMoWFhUVFRYFAwM5oqbU0HzBgwFVXXcXDMPohQgsAAAA4GWqtF1980Z7knpeXl5WV5fF4LLdE6RUMBnNzcxsaGvbv36+djbsYpzpCCwAAADhhVk27d++ur69XYkWjUZWVz+ezO7XUXX6/v6ysLBKJKLdWr15ticWprf6D0AIAAABOmIVWPB6/9tprlVUVFRUKKsVVUVFRoSMcDpeWlpaUlAQCgWeffVY7q7I0uutxqiO0AAAAgBOWCKe77757wIABBQUFXq833+Hz+dRXkUhEY3V1dU1NzcSJEw8cOEBo9SuEFgAAAHAyLJyWLVuWlpZWWlrq9/vtR4oLCwuVWCqu4uLiwYMHFxUVNTQ0NDU1aWdCq/8gtAAAAIATZtUkq1atUlyprMLhsJoqJycnz/nBYo/HEwgE6uvro9FoRUXF6tWrOaPVrxBaAAAAwAmzypJly5YVFhYGg0FllRIrPz9f3WVXEmq7PXtQ0fXkk0/a/u56nOoILQAAAOBktDu2bNliP1us0FJlWWLZbVrqLlFoZWRk/OxnPyO0+hVCCwAAAOiWO++80+/3231ZorgqKipSaxUWFoZCoWg0qvQaP3784cOHCa3+g9ACAAAAuuXxxx9PS0srLy+301kKLTu1pdwKBoOlpaUqrqFDh3711Vft/I5Wv0FoAQAAAN3y5JNPZmdnBwKB3NzcnJwcO6+lylJx+Xy+cDisvzY0NGzdupUzWv0HoQUAAAB0y9KlSwscyiqFVuE3lFvFxcVlZWVqsGHDhq1evZrQ6j8ILQAAAKBbdu3aNXz48IyMjJKSEnvkYNE3/H5/KBSyZxLOmzeP0Oo/CC0AAACgW5RP11xzTWZmpv1mcX5+fqHzYHeFlnMVYed5LW25/vrr4/G4uwanOkILAAAA6BaF1i9+8Yv09HSFlj1yUGVVUlJifaXR5/Mpt8aMGXP06FF3DU51hBYAAADQLe3t7StXriwoKLDnDaqsRLllL0V/0pba2tq///3v7hqc6ggtAAAAoFs6Ojqamprq6+tzcnKsqVRZmhQWFtr9WsFg0OfzRSKR5cuXu2twqiO0AAAAgG5pb28/evToZZddlp2dnbg7Ky8vT5WV7zznPRwOBwIB5dbTTz/trsGpjtACAAAAuqXDcdNNNym0lFV2uWCuQ7ll6SUKreeee85dg1MdoQUAAAB0i4XWzJkzs7KyFFRer1ehpcRSaKmy7DJCbVFoPfHEE7azuzLl9Nb25EP7DLFYbN++fVu3bt2xY8fXX3/d3NzsfLpOzu44eYQWAAAA0C1WJi+++KKayh48qL6y1tJEW+wGraqqqkmTJtnO7e3tGt31KaT3ldbW1nfffXfOnDmXXXZZQ0NDNBqtqakJh8P19fWTJ09+880329ratJu7BieF0AIAAAC6xdpp+/btI0aMSNyapTFx6aCotdQzY8aMUeSoYWyJuz6F9NYtLS1z587VBzvttNMGDhyYkZGhz5mTk2MXN5aWlg4ePHjRokWNjY3uGpwUQgsAAADoFqumtra2K6+8MjMz07khq9hCS6MqS6Mqq7q6evjw4Vu2bOk8qdR7Z7Ree+01BZXH47EndqgJVVn6qGJ9WFlZed555z300EPuGpwUQgsAAADoLgunW265JSMjw+/3K1fUWioZVZZdT6hJRUWFWkud0yuJZVSDN91006BBgxRaWVlZCi2vQxOFlsb09HR94Egkct111x07dkxLOiOSW7ZOHKEFAAAAdFfcMX/+/NNPP93n8+U7T3W3c1maBAIBtVYoFAqHww8++GDXx1GkmIJw0qRJAwYMUFOJPmd2dnZmZqbGxBmtkpISfdpx48a1trZaZYm7HseN0AIAAAC6S+2kGlmyZEl6erpqSsXS9YyWQkv1EgwG1Vp33323LemVetmxY0ddXZ1CSx9MHzLrGx6PJycnR6PqS5UVjUZ/9atfJT4hoXUSCC0AAACgW9QhZsOGDVVVVV6v1+fzqa+ce7U6b9bSXKMCRi8nT57c1tZm+7vrU2jjxo2KPZWVskqhpbLSp7VR7LxWZmbm8OHDN23a1Fsf8tRAaPVTif9sbCK2HQAAACdH/6Bqb2+fMGGCMiYYDKqs7HSWXY+Xl5cXCAS0ZcyYMXv37tWe4q5MoaVLl+rjKaj0kfTBlFXqK0WXNtqVhPrAGRkZd9xxR698vFMJodVPWVzpvx+b2Bb7EwAAAE5I4t9RmvzoRz9SvUQiEUWLnc5SySixotGoXUA4bNiwLVu2aOdeKZkZM2YMHDhQTWVntOwsluYaNdcWUSX+9a9/JbS6idDqpzrrqqOjpaXlwIEDhw8ftpfi/hkAAADHzf2HlPNPqfnz52dkZPh8PiWWsXSpqKhQdxUWFmp8/vnnE/un2F133aWg8jgUhAl2m5Ym+sATJ07UPxEJrW4itPqveDx+xHH06FH7T13cvwEAAOBEJP4p9cEHH4RCIUusvLw8iytN7KXf7w8EAgsXLkxlxtgH03js2LFx48apqZSCmZmZKqsch53XsmcP6nP+5S9/0c6EVjcRWv2X/vuxx+MYdysAAAC64auvvhoyZIiKJdd5Wrqyyp6EIaWlpZFIRFt++tOfpvIfYHqjWCym8Z133lEE6rOJndeyuRJLEaiXGquqqj799FPtbM+gx0kjtPq1lP3nDQAA0E98/fXX5513ntJFZVVcXBwMBjX6/f6SkpJwOByNRjVeccUVzc3NqQwtaWtrmzZtWkZGhp3CstASvVQTlpeX67OpDCdPnrx79+52505+dz1OCqGFTvafn/sCAAAAJ+vYsWM33nij6sXn8ymxAs6TBouKiiKRiGImFArV1tZecsklmzdvdhekhP6l19raOmbMGBWgEktBlec8D0OjXdmoj6oPWVNT88c//tEqi38cdhOh1U8l/uOxibE/AQAA4KTp31R33323x+OxKwYVMCouxYzmJSUl2hiNRquqqp555pmU/etL4SSfffZZWVmZPpg98cIqy2pQ6aWN4XB41qxZCkXtrFX847CbCC0AAAAgaVQpP//5z9UzFlcqK7t6UCUTCAQUNqqsmpqaBx54wHomBfRGR44cufnmm0877TTFVb7D4som2iiDBw/+8ssv3TXoNkILAAAASKalS5f6/f7S0lKVlV2Sp+KSMoc2KrTuvffelIVWR0fHhx9+GI1G09LSLLRyvvkRLbVWRkaGXd945513trW1uWvQbYQWAAAAkDTKpy1btoRCIYWNXZiXCK2SkhJtVGuVl5dfccUVBw4ccNf0sNbW1unTp2dlZdmZK1Ff2WgfTJWlLFy/fj2XCyYRoQUAAAAkjULr4MGDF110kdJFoZWfn6+MUdIot/TS7/dXV1dXVFSMGjXqiy++UNhofxvd9cmjw8bjcR155cqV9kRB+yTWWnZeS59K+acG++EPf5jKByH2B4QWAAAAkDQKG5k9e7aSJhgMKq5CoZAKR3MljUJLbaOxsrJy8eLFCptEDrnrk8SOrEksFvvxj3+cmZmp91Vc6VOprwqcp3RYbmm7mnD58uWJJUgKQgsAAABIGmuVhQsXKmAUVxrtbJLCRiy3qqur1Tb33HOPtY2x5cmiAyrelHBr167Ve2U7P6CsxPJ6vXaDVuI8mybXXHPNgQMHtHPSP0Z/RmgBAAAASaO8Ua48++yzyptIJGKXCypmNFHVqLIKCgpGjx59zjnnXHXVVXv27FHeaJWNSWQfIxaLTZs27fTTT1fj6TM4N2R1PghRo53OksTpLFvirke3EVoAAABA0th1gKtXrw6FQoorlZW1lp070kuN33OUl5e/9957WtIThaMDyvr16xPn0/QxwuGwJvZJvF6vTSZMmHDkyBF3GZKH0AIAAACSRtWk1tq6dWswGFTGaLSHvKtz9NLSq6Ki4rvf/a5C609/+pP216qeCC19jFmzZqWlpendRbFXVlamiV1AmJeXZ5cRzpw5M+nn0yCEFgAAAJA0Khy10969e88//3wrK7VNkUMvVTuRSKSysrKhoUHF9cADD9j+lltJpMM2NjaeeeaZHo+noKAg33nohdFcfWUfTDts2rTJXYOkIrQAAACApLFzU7FYbObMmcqqUCiktrFbs6y7tKW8vDwajWr7pEmT7KHqPRFaCxcuTE9PDwQCeveuT3XXPDs72z7YokWL7FpHdxmSh9ACAAAAkkaFY1asWFFcXJx4HoY9hUITlY8mpY7Ro0evWbPG9nfXd5sOpXA6dOjQ+PHjs7KygsGgPob6Splnp7YUWlJZWTl27Nh9+/Zp5yS+OxIILQAAACBpLFo0bt68uaysTEmjuCpxfkHLWsuu2QuFQvbw93nz5iUxdayyND711FPp6emqqa6VJXp3G2XBggV2d1ay3h1dEVoAAABA0ihaRLXT2to6duzYrKys0tLSvLw8ezaGsicQCFjnWIBNnTr18OHD2t9d3z1WWS0tLePHj/d6vZFIJBwO632ttYzeVOPZZ5+9devWxBJbjiQitAAAAICkcTrL7ZaZM2d+5zvfUeqoc1RWdipJfaXcUuqouGpray+++OLNmzfb/t1kby3r1q1T3elN7dSZRpVekfM0Dvskmt9///2xWCzu/EixuIdA8hBaAAAAQI9YuHChPXZCSkpKFDwqHLuMUBOFVjQara6u/uSTT5L1gHUlkw41e/ZslZW6Tlklmns8Ho36AMFgUG965plnbty4MZFYNiK5CC0AAAAg+VQvr7/+umqqoqKirq6usLCwvLxcL0WhpZfKHk3UP88880xSUqczmzo6tm3bNnz4cB02NzfX6/UqtDrvzXJuD1PjKfkikchTTz3V7vzely1x1yOpCC0AAACgRzQ1Nal5FDYay8rKqqqqVFalpaUarXzC4bDH45kyZcrRo0fdNd1g1fS73/3OzmJZZeldNNfbaZRgMDhmzJjdu3cn7gqzVTZHEhFaAAAAQI84cuTINddck5OTM3To0JqaGmVVIBBQaBUXFydOMUWjUW155513EsFzEtmTeHjgrl27Ro8enZmZ2XkOy/nlLqPEys3NtQB7/PHH7QEYYrmliXMYJBOhBQAAACSflcyDDz44cOBANZXf0fm0QedZFKogvVT51NXVVVZWTp8+/dixY9r/RJ8BaPtrtMmiRYtUWXZHlg5ulFh2Xis7O7u6unrz5s3aU9xDoGcQWgAAAECPUMysWrWqrKwsGAwmHoZRWFho2WPFpb8qfs4666zGxkbrJXfx8bEleiONH3/8sbJNZRVwniCvid5FRad30btrVHHNmDEjFovZEvcQ6BmEFgAAAJB8Fj+ffPJJTU2NsiccDmtU8IjiRxWk7rKLCdVaqq+VK1dqia1yD3EcEkuOHj06bdo0pZQOqL7SaO+ivrIxFArpA7z99tu2v0b3EOgZhBYAAACQfE4BdTQ3N998880ejydxXkvNo6zyO79WbL9irNzKycl55ZVX1D/irj8+egurpg8++KChoUFNpSNHIhE1lULL6/Uquqy19Hbnnnvujh077F2S9UB5/DeEFgAAANAjFDNKGiWQUsr6R82jBLIHuwcCAesujQqtuXPnOmnWyV1/HGz/I0eO3HrrrTqO3kKHtX5TYtm5rGg0qo2yZMkSfR7tb6N7CPQMQgsAAABIPqeAOn8+eP/+/WPHjs3KylLqqK9CoZAmai1RGoleapw6dWpbW9uJnmiyZFq9evXQoUPLysrUVCorHVmjtZZdr6jJjTfeeOjQIe0vnM5KAUILAAAASL5EaMlzzz1XWlqqxFL/BINBlZUmRullTyAcOXLkjh07tMRdf9wUTrNmzVJQ1dTU6DiqLPsFLZvoTcvLyxVgH3zwgT6JdrYPJu569AxCCwAAAOhZ69atGzZsWFlZmeJHRaQKKnTopeTl5WleXV29bNkyhZC75v/UeVrqm4sADx48OGrUqKysLDuUJZbiTcdUaKm+GhoabrvtNlUWcZVKhBYAAADQs/bt2zdy5EjnOsESp7A6E8vOPhU5v6kVcH7IeM6cOcfZQonQkpdeeik7OzscDuuwdpZMraVjKrpyc3NDoVBdXd3y5cu1v1rLXY+eR2gBAAAAPUuRc/vtt6t8VFZi92j5HJqovlRZkUhk2rRpu3fv1s7usv/OEkt7NjU12W9n2ekyHUr9puLSFlWWtqi4fvCDHzQ3N9sSdz16HqEFAAAA9LilS5faUwdFoaXEUhSFw+GgQ1tCodD555//9NNPH08OWTXF4/Hp06d7PB4dwW700mHtokFVliZ2ZL21drYzYO569DxCCwAAAOhxe/bsueiii5yTWJ2JpVFdZCGk0Rqptrb2kUceOZ4csmpqbGxsaGiwxFJcabSJDmU3a+nlhRdeuG3bNu1s3PXoeYQWAAAA0OMUOfPmzVMFhcPhzthyLhoUTZRDmpSWliq0FixYcDw5pH1isdi9996rtTqCndHSQZRwRc7j3b1eryZ6rwceeEBVZmF2PEdGshBaAAAAQM+yyHnvvffURQoq5ZbdpmUstBRF+tOkSZMOHz7sLvvvdLQNGzYMGzYsJydHoaWjWXGJDm7Ky8vPPvvszZs3a2drLXcxUoLQAgAAAHpcPB5XGimlgsGgKihxuaBGmyiWotFoQ0PD22+/rTSyVYmJdJ2rmh577DHtr1WiTrO4KigoKHIeY6gDVlVV3XfffbFYTPtba3U9AnoaoQUAAAD0OHXO5s2bBw8erBxSWdltWpprYhRLqi9NHn744cRz2P8ljfRSdKh9+/ZdffXVWqL97TiWWNqiMT8/X/Wl91q7dq27EilHaAEAAAA9ToG0a9euiRMnWghZIKmONFF3qZTUSBZg8+bNO3r0qGpK3MXfsNDS5K233qqqqtIS+7FjHScRWrZFzTZlypSWlhbbH6lHaAEAAACpEIvF7rzzTlWWqLIURaKy0miZFI1Gtf373//+Z599pkBSaHXNpM7Gcl7G4/GZM2eqphRmOpQWarlNRNt1TB3qtdde0/7/XmtIDUILAAAA6FnWSDJ79uysrKxAIGB1pKxSLCm09FIbI5GI1+sdMWLE888/r53/PbS0RZW1adOmurq63NzccDisVXbpoD3PXfNgMKjKmjx5cmtr678cAalEaAEAAAA9TsEjixcvzs7OTlw3qL5SZam19FLJZE9+VynNnTvX9ncXO+yl2unhhx/WqoqKCi2027rsnJhySwdUrQ0fPnzp0qWxWOzfD4KUIbQAAACAHmfN8+KLL+bm5qqOFEV2IkujUWJpjEaj+fn5Sinb313ssNNZ27dvv/jii6urqysrK5VY1mw6mlGtaRw5cuTOnTu15N8PgpQhtAAAAICeZbWj8fPPP/c7j75QHamy7FyWJnZ2S2N5eblCa/78+do58exBY9cBPvbYYxZXaiq77FC0VltCoVCdQ8u1Vjsbdz1Si9ACAAAAepYFj0pp27ZtZWVldplf10zSFk1UShIMBidOnLhr167EHVa2XO20c+fO0aNH5+bmJs5i2UK91KgjV1RUjBkzprGx0RaiFxFaAAAAQCoonHbs2FFfX29nsSyQjF7aDVd2nqq8vPytt97S/lpllSV6+cwzz5Q4d2RpiUatEuWWNubn55eWltbW1s6aNct2tjdFbyG0AAAAgB5n5dPS0jJt2rTc3Fxlkp2SUilZMqmvOu+4ci4LDIVCTzzxhJaIqkkLNTY1NZ177rler1errLVsuUblmRYqz0aPHr1q1arEKvQiQgsAAADoWVY+Nr700ksKLYulRDKJJqLc0lzjnDlztHNCa2vrjBkztNDu5hLtprm91BgOhyORyNSpU7Wn9nffGL2H0AIAAABS589//nNaWpqaSpVloWUsmTRRLymipkyZ0tzcrGRSnsViscbGxsrKSo/HU1JSkthTyxO/UxwMBmtqan7/+9/rLbTE3gu9iNACAAAAUufLL78cPHhwdna2BZITWZ0ntfx+vxLLfhdLBaWsampqcs5mdZ7Oevzxx4cPH649bYmdzrLKsusGtXzy5MkHDhyw82bivh96CaEFAAAApE48Hp85c6ZCy+JKo5NanRcNilWTxpqamnXr1tlT2j/66KNwOKztTpq5bWahpSTTRGNtbe3atWstsYz7fuglhBYAAACQOkqgpUuXVldXezwelZVVk3JLBZVILzVVMBicO3euhdarr75aWlqam5urslJWaX/tbKHl9Xr1UmE2ceLEWCzW7vyosftO6FWEFgAAAJA6Cqcvv/xyyJAh9nNYyqTEqSoLLdEWzceOHbt79+6vv/5ak7y8PJWV9unMMoeFVnZ2dmVlZVVV1e23386tWX0KoQUAAACkjnJI7XT55ZdnZGQEAgH1krJK4aSystCymlJZRaPRdevWrVixwm7oKnRoH0syjVqrLZFIpK6ubuXKle4boG8gtAAAAIDU6ejoiMfjc+bM+fa3v20nppzCcllxWW5p/PWvf/3b3/42LS1NL/Md2kFxpdFyq7q6WqF1ww03tLW1uW+AvoHQAgAAAFLHbqN69913LZycvHJ/etjySaMSKxgMqqAuv/zy6667Lj09vfNklkM7ax9NrNAGDx48evTopUuX2sMG3fdAH0BoAQAAAKljRfT+++9XVVXl5eVZWSmZNNqtWYqoQCCgif6qjfYMDCey/h9VluWWxrFjx+7cudM9OvoMQgsAAABIHQutbdu2jRs3Ljs7OxgMqqbC4bDiKhQK+f1+5ZMqS1RTeqmJbdFuCZZnGpVh11577bFjx3RMcd8DfQChBQAAAKSOFZFya8GCBTk5OZZMCip7JIbiys5f2dgZVc5NWXl5eZ0XGn5DW2xhbW3t4sWL7YAa3fdAH0BoAQAAAKljUSQvv/yy8kmCDlWTW1HOj2UZO5elifuHb1iDafvFF1/c2NhohyW0+hRCCwAAAEgdKyKF1urVq+vq6nJzcwOBgELL7/d3PW3ldFYnNZW7KT9fO4smdiVhUVHRpZde+o9//MMOqNF9D/QBhBYAAACQOvF43LqotbX16quvHjRokCrLzlwlQssmFlo2tzERWnqp/XNycn7yk58cO3bMKovQ6lMILQAAACB1ElEkt99++4ABA/x+vzWVCqprTWmLAqxraCXYYzAuuOCCpqYmHdOOpiPbW6AvILQAAACA3vHCCy+Ew2GFkwWVtZYmiiiNYi9tIraD/qrJoEGD/vCHP6iv3GOhjyG0AAAAgN7R1NR0zjnnZGZmdg2thER3WWglRptkZWX97W9/cw+EvofQAgAAAHrH4cOHx48fn5aW1nmx4Dc3X2nsWlyJsrIdEmNJScn69es5o9VnEVoAAABA72hqaho6dGh6errKKlFQxuvQxEJLbJ6Tk6OdBw4cOG7cuObmZkKrzyK0AAAAgN7xySefjBgxIhgMKqJUWVZWnm+oqfRSo+aaiEJL88LCQoXWbbfd1vkEDEKrryK0AAAAgN6xbt26qVOnVlVVZWZmFhQUWFkppbIdevkv9FeNFlqzZs3it7P6MkILAAAA6B3Hjh179NFHS0tLFVd2WaCdtvJ6vZpbcWmil5Ze2iLaR6E1f/58zmj1ZYQWAAAA0Dva29sffPBB+1Es6bwry+u1J2FoYlml0DL20px++ulaSGX1ZYQWAAAA0Dtisdgvf/lLn8+nrLLHXYgqSzSxuHLiy40u20GT4uLiBQsWEFp9GaEFAAAA9I6dO3fecMMNkUikwKHWssqy6LITWf8xtDROnz69tbXVPRD6HkILAAAA6B2ff/75JZdcYnEl1lHGKktNZaFl7E+aZGdna+GhQ4c4qdVnEVoAAABA6nQ+v8KpI42ffvrpRRddlJaWpqZKxJU1lXMGq1Nii9gOSrL09PT6+voDBw7YMdEHEVoAAABA6lhotbe3a/7KK6/U1dVlZmYqqBRallWiSeIZg5LYYrmlPbXkjDPO2LJlix0HfRChBQAAAKSOhZYmzc3N9913X1VVlQrKrhu0yhLLKieyPFkOvRTtk5eXp5clJSU1NTVvvPGGHQp9EKEFAAAApI6FlrS1tS1atCgcDqum7FSVEstOWGm0ypJEaCX+lJ6erjy76qqrNm3axBmtPovQAgAAAHrH2rVrhwwZYqeqEqHV9eyWhZZGzfMctiUYDE6YMGH//v3ugdD3EFoAAABA74jFYrNnz1ZoKZ8UVwkKKo2WXl3/pJfWXeeee+5DDz3U2trawaWDfRWhBQAAAPQOZdKqVasuvPBCv9+vuLJf0xLn3FXnb2ppTFwxqFGJpSobP378+++/bz+iRWj1WYQWAAAA0Dva29vj8biqaeTIkYWFhZZSxcXFRUVFmltrKbEkcZtWfX39a6+9poVCZfVlhBYAAADQOyyWmpubZ86cqcRSTZWUlCilfD6fncvqvE8rJyc9Pd3v9zc0NFx99dUrVqxoa2tz16MPI7QAAACA3qHKstbatWvXjBkzCgsLFVdKLBVXrkP1pY1Dhgy55ZZbHn300S1bttgSdz36MEILAAAA6B2qJgsnjYcOHVqxYsXChQvvv//+KVOm1NbWFhcXf+9737vjjjvefPPNPXv2tLW12f7irkcfRmgBAAAAvcOqSaFlrSWJjbt3725sbNy8ebMCrOt246xGn0ZoAQAAAECSEVoAAAAAkGSEFgAAAAAkGaEFAAAAAElGaAEAAABAkhFaAAAAAJBkhBYAAAAAJBmhBQAAAABJRmgBAAAAQJIRWgAAAACQZIQWAAAAACQZoQUAAACcjI5vuK+BLggtAAAA4ISpr9rb2+PxuPsa+GeEFgAAAHAyDh8+vH379iNHjrivgS4ILQAAAOCExWKxVatWrVmz5uDBg+4moAtCCwAAADhhHR0dzc3N8Xi8vb3d3QR0QWgBAAAAJ0x95TwIo5O7CeiC0AIAAABOhlUWZ7TwHxFaAAAAwMngXBb+D4QWAAAAACQZoQUAAAAASUZoAQAAAECSEVoAAAAAkFT/8z//C3rvu7xI/aWGAAAAAElFTkSuQmCC"/></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>B. Describe what you would suggest to your colleague to help with their model, and justify your answer briefly (2 sentences max.).</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<p>The colleague uses an explicit scheme, so switching to an implicit scheme like backward Euler is generally much more stable in these instances. You could also decrease the time step, which generally improves stability; we can also see clearly that the time steps in the sketch are large, which leads to a bad approximation of the function.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>C. Which of the following should you evaluate to gain additinoal understanding about stability of the numerical approach?</strong></p>
+<ul>
+<li>Initial conditions of the system</li>
+<li>Eigenvalue of the system</li>
+<li>Time-step size</li>
+<li>Order of the polynomial being modelled</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<ul>
+<li>Time-step size</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>D. Recalling that the general expression for a damped oscillator is of the form</strong></p>
+<p><strong>$$m\frac{d^2y(t)}{dt^2}+c\frac{dy(t)}{dt}+ky(t)=0$$</strong></p>
+<p><strong>which method(s) might help to numerically model the signal?</strong> <em>(you may selec more than one, or none)</em></p>
+<ul>
+<li>Implicit (backward) Euler method</li>
+<li>Riemann method</li>
+<li>Runge-Kutta method</li>
+<li>Trapezoidal rule</li>
+<li>Gauss integration method</li>
+<li>Simpson's rule</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<ul>
+<li>Implicit (backward) Euler method</li>
+<li>Runge-Kutta method</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Exercise-5:-Probability-&-Reliability">Exercise 5: Probability & Reliability<a class="anchor-link" href="#Exercise-5:-Probability-&-Reliability">¶</a></h2><p>A climate scientist is performing a study about rainfall and the ice content in the clouds. $X$ is the daily rainfall in a city in mm. After several years of measurements, it has been discovered that the cumulative distribution function of $X$ is given by an exponential distribution with parameter $\lambda=0.05$.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>A. What is $P[X \leq 20 \hspace{0.1cm}\text{mm}]$? Round to two decimal figures.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<p>$P[X \leq 20 \hspace{0.1cm}\text{mm}] = 1 - e^{- \lambda x} = 1 - e^{-0.05 \times 20}=0.63$.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>B. The researcher wants to design for the value of $X$ which is exceeded with a probability of 0.01. What is the design values? Round to two decimal figures.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<p>$P[X \ge x] = 0.01 \to P[X \leq x] = 1 - 0.01 =0.99$</p>
+<p>$0.99=1 - e^{- \lambda x} \to x=92.10$ mm.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The researcher also wants to investigate the content of ice in the clouds (kg/m<sup>2</sup>), denoted here by $Y$. After a field campaign, the following statistics of $Y$ are calculated.</p>
+<table>
+<thead>
+<tr>
+<th style="text-align:center"></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:center">Mean</td>
+<td>55.5</td>
+</tr>
+<tr>
+<td style="text-align:center">Standard deviation</td>
+<td>11.2</td>
+</tr>
+<tr>
+<td style="text-align:center">Minimum value</td>
+<td>3.1</td>
+</tr>
+<tr>
+<td style="text-align:center">P25%</td>
+<td>50.7</td>
+</tr>
+<tr>
+<td style="text-align:center">P50%</td>
+<td>57.8</td>
+</tr>
+<tr>
+<td style="text-align:center">P75%</td>
+<td>63.2</td>
+</tr>
+<tr>
+<td style="text-align:center">Maximum value</td>
+<td>76.1</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>C. Which of the following distributions would be the best fit to the variable $Y$ based on the previous statistics:</strong></p>
+<ul>
+<li>Gaussian</li>
+<li>Left-tailed Gumbel</li>
+<li>Uniform</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<ul>
+<li>Left-tailed Gumbel</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>D. Justify your choice with at least one reason that justifies your decision.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<p>Statistics show a left tail (compare the distance between the minimum value and the P25 and the P25 and P50). Neither the Uniform nor the Gaussian present a tail.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Now the researcher wants to dive into the relationship between $X$ and $Y$.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>E. A high positive correlation between both random variables is observed. Provide an explanation of what that means in 1 or 2 sentences. Give a numeric range for positive correlation.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<p>If a high positive correlation exists between $X$ and $Y$, it means that high values of $X$ have a high association with high values of $Y$, and the other way around. This is, if a observe a high value of $X$, there is a very high change that I will also observe a high value of $Y$. Same holds for low values. Positive correlation is $\ge 0$ to $+1$.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>F. The researcher models the joint probability of $X$ and $Y$ using a bivariate Gaussian distribution. Which probability is equivalent to the multivariate Gaussian cumulative distribution function $F_{X,Y}(X=x, Y=y)$?</strong></p>
+<ul>
+<li>$P[X \ge x \hspace{0.1cm}\textbf{AND}\hspace{0.1cm} Y \ge y]$</li>
+<li>$P[X \ge x \hspace{0.1cm}\textbf{OR}\hspace{0.1cm} Y \ge y]$</li>
+<li>$P[X \leq x \hspace{0.1cm}\textbf{AND}\hspace{0.1cm} Y \leq y]$</li>
+<li>$P[X \leq x \hspace{0.1cm}\textbf{OR}\hspace{0.1cm} Y \leq y]$</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<ul>
+<li>$P[X \leq x \hspace{0.1cm}\textbf{AND}\hspace{0.1cm} Y \leq y]$</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The following plots show the possible contour plots of the bivariate PDF of $X$ and $Y$.</p>
+<p><em>Use them to answer the following two questions.</em></p>
+<p><img alt="image.png" src="data:image/png;base64,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"/></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>G. In which plots are $X$ and $Y$ independent?</strong> <em>(you may select more tha one, or none)</em></p>
+<ul>
+<li>Plot a</li>
+<li>Plot b</li>
+<li>Plot c</li>
+<li>Plot d</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model answer</strong></p>
+<ul>
+<li>Plot a</li>
+<li>Plot d</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>H. In which plots do $X$ and $Y$ follow a multivariate Gaussian distribution?</strong> <em>(you may select more than one, or none)</em></p>
+<ul>
+<li>Plot a</li>
+<li>Plot b</li>
+<li>Plot c</li>
+<li>Plot d</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Model ansewr</strong></p>
+<ul>
+<li>Plot a</li>
+<li>Plot b</li>
+<li>Plot d</li>
+</ul>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+</div>
+</div>
+</div>
+</div>
+</main>
+</body>
+</html>
--
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