diff --git a/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/demo_lec_04-checkpoint.ipynb b/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/demo_lec_04-checkpoint.ipynb
deleted file mode 100644
index 69c501d042054d4e83cab1d43e1b902147c31950..0000000000000000000000000000000000000000
--- a/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/demo_lec_04-checkpoint.ipynb
+++ /dev/null
@@ -1,1710 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Jupyter notebook\n",
-    "- Terminology and usage:\n",
-    "    - input cell\n",
-    "    - cell execution (using shift + enter)\n",
-    "    - if many lines of code are entered, the last line is displayed\n",
-    "    - print(...) enables you to display output from all the lines"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Mathematical operators\n",
-    "- addition (+)\n",
-    "- subtraction (-)\n",
-    "- multiplication (*); you cannot use x or ( ) instead of *\n",
-    "- division (/)\n",
-    "- integer division (//)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "11"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Enter three addition expressions\n",
-    "1 + 2\n",
-    "3 + 4\n",
-    "5 + 6 # Last line printed automatically"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "7\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Add print() around some of the expressions\n",
-    "print(3 + 4) # print ensures that computation gets displayed\n",
-    "5 + 6\n",
-    "1 + 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "7\n",
-      "11\n",
-      "3\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Add print() around all of the expressions\n",
-    "print(3 + 4) # print ensures that computation gets displayed\n",
-    "print(5 + 6)\n",
-    "print(1 + 2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-1"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try subtraction\n",
-    "2 - 3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "15"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try multiplication\n",
-    "3 * 5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Things that don't work in place of *\n",
-    "# Does not work: 3 x 5\n",
-    "# Does not work: (3)(5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try 1 * 1\n",
-    "1 * 1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1.0"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What do you get when you try 1 / 1?\n",
-    "1 / 1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1.5"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What about 3 / 2?\n",
-    "3 / 2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Data Types\n",
-    "- int (ex: 1, 5, 20, 41)\n",
-    "- float (ex: 1.0, 1.5, 5.678)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Let's learn about integer division. Try 3 // 2\n",
-    "3 // 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What is 11 // 4?\n",
-    "11 // 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1e-05"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Very small numbers are displayed using scientific notation. Try 1 / 100000\n",
-    "1 / 100000"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## How to determine data type?\n",
-    "- type(...)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "int"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What is type(10)?\n",
-    "type(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "float"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What about type(10.5)?\n",
-    "type(10.5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "int"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try out type with a mathematical expressions 3 * 2\n",
-    "type(3 * 2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "float"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What about type(3 / 2)?\n",
-    "type(3 / 2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "int"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Observe type of integer division result type(3 // 2)\n",
-    "type(3 // 2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Rounding float values\n",
-    "- computers round values differently than human beings\n",
-    "- computers deal with binary representation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.01"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try 1 / 100\n",
-    "1 / 100"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.011000000000000001"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try 1.1 / 100\n",
-    "1.1 / 100"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.012"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What about 1.2 / 100?\n",
-    "1.2 / 100"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.013000000000000001"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try 1.3 / 100\n",
-    "1.3 / 100"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## What happens when you encounter an error?\n",
-    "- as soon as you run into an error in a line, execution of that cell terminates.\n",
-    "- go to view click Toggle Line Numbers."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.5\n",
-      "1.0\n"
-     ]
-    },
-    {
-     "ename": "ZeroDivisionError",
-     "evalue": "division by zero",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-22-4a1d20c64340>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
-     ]
-    }
-   ],
-   "source": [
-    "print(1 / 2)\n",
-    "print(1 / 1)\n",
-    "print(1 / 0)\n",
-    "print(1 / -1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## More mathematical operators\n",
-    "- modulo (%): remainder of a division\n",
-    "- exponent (**)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What is 11 % 4?\n",
-    "11 % 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "7"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What about 987 % 10?\n",
-    "987 % 10"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "8"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# How can you combine // and % to extract number at a specific digit's place?\n",
-    "(987 // 10) % 10"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try out 2 ^ 3. This is not the exponent operator!\n",
-    "2 ^ 3 # Binary exclusive or (rarely useful)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "8"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What about 2 ** 3?\n",
-    "2 ** 3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "9"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Let's do 3 ** 2\n",
-    "3 ** 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3.0"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What about 9 ** 0.5?\n",
-    "9 ** 0.5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4.5"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Let's try it a different way: 9 ** 1 / 2\n",
-    "# What's wrong?\n",
-    "9 ** 1 / 2"
-   ]
-  },
-  {
-   "attachments": {
-    "image.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Operator Precedence\n",
-    "![image.png](attachment:image.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3.0"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Let's try 9 ** (1 / 2)\n",
-    "9 ** (1 / 2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-25"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What about -5 ** 2?\n",
-    "-5 ** 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-25"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Now let's try -(5 ** 2)\n",
-    "-(5 ** 2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "7"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Unary signs. What is 3 - -4?\n",
-    "3 - -4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-1"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Unary signs. What is 3 + -4?\n",
-    "3 + -4"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## More data types\n",
-    "- str (ex: 'hello', \"how are you\", 'i am fine')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "SyntaxError",
-     "evalue": "invalid syntax (<ipython-input-36-d1e989741f38>, line 2)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-36-d1e989741f38>\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m    hello world\u001b[0m\n\u001b[0m          ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Text needs quotation. Try just hello world\n",
-    "hello world"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'hello world'"
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Now try \"hello world\"\n",
-    "\"hello world\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'hello'"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Single quotations work too. Try 'hello'\n",
-    "'hello'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "str"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What type do you get for \"hello world\"?\n",
-    "type(\"hello world\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### More about str\n",
-    "- how can you use quotations inside a str?\n",
-    "    - either use combination of single and double quotations\n",
-    "    - or use escape by typing \\ before the quotation\n",
-    "- other special characters:\n",
-    "    - \\n newline character\n",
-    "    - \\t tab character\n",
-    "- printing a str always displays just the text and not the quotations around it"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'she said \"hello\"'"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try out 'she said \"hello\"'\n",
-    "'she said \"hello\"'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'she said\"hello\"'"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Also, try out \"she said\\\"hello\\\"\" #Escape special characters with \"\\\"\n",
-    "\"she said\\\"hello\\\"\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'she said\\n\"hello\"'"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Let's add a newline: \"she said\\n\\\"hello\\\"\"\n",
-    "\"she said\\n\\\"hello\\\"\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "she said\n",
-      "\"hello\"\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Try printing \"she said\\n\\\"hello\\\"\". What happened?\n",
-    "print(\"she said\\n\\\"hello\\\"\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'a\\tb'"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Let's use tab: \"a\\tb\"\n",
-    "\"a\\tb\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "a\tb\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Try printing \"a\\tb\"\n",
-    "print(\"a\\tb\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### String operators\n",
-    "- concatenation (+)\n",
-    "- replication (*)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "12"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Recall 3 * 4 \n",
-    "3 * 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "7"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Recall 3 + 4\n",
-    "3 + 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'34'"
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What happens when you try \"3\" + \"4\"? String concatenation\n",
-    "\"3\" + \"4\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Can you multiply strings: \"3\" * \"4\"?\n",
-    "# \"3\" * \"4\" # Does not work"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'3333'"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What about replicating strings: \"3\" * 4?\n",
-    "\"3\" * 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha '"
-      ]
-     },
-     "execution_count": 51,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Let's all have some fun.\n",
-    "\"ha \" * 100"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'santa says \"ho ho ho \"'"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Santa is here early.\n",
-    "'santa says \"' + 'ho ' * 3 + '\"'"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Comparison operators\n",
-    "- greater than (>)\n",
-    "- lesser than (<)\n",
-    "- greater than equal to (>=)\n",
-    "- lesser than equal to (<=)\n",
-    "- equal to (==)\n",
-    "- not equal to (!=)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try 3 < 5\n",
-    "3 < 5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try -3 > -5\n",
-    "-3 > -5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try 3 <= 4\n",
-    "3 <= 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try \"A\" < \"B\"\n",
-    "\"A\" < \"B\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try \"a\" < \"B\"\n",
-    "\"a\" < \"B\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "bool"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What about type(5 > 3)?\n",
-    "type(5 > 3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try 2 == 2.0\n",
-    "2 == 2.0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 60,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What about type(2) == type(2.0)?\n",
-    "type(2) == type(2.0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try 2 == 1 + 3\n",
-    "2 == 1 + 3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 62,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try 1 == 2\n",
-    "1 == 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "'<' not supported between instances of 'str' and 'int'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-63-8d59732b4be5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# What happens when you try \"1\" < 2?\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;34m\"1\"\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m: '<' not supported between instances of 'str' and 'int'"
-     ]
-    }
-   ],
-   "source": [
-    "# What happens when you try \"1\" < 2?\n",
-    "\"1\" < 2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Boolean values\n",
-    "- True\n",
-    "- False\n",
-    "\n",
-    "## Comments\n",
-    "- when you add # in front of a line, you are commenting it out.\n",
-    "- commented out lines will not execute."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "bool"
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "type(True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 65,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "True or False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "not not not False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "not False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 68,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "not True"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "True or False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 70,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "True and False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 71,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "not True or True"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 72,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "not (True or True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 73,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "5 < 3 or 10 > 5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 74,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "5 < 3 and 10 > 5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/demo_lec_04_template-checkpoint.ipynb b/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/demo_lec_04_template-checkpoint.ipynb
deleted file mode 100644
index bee71df5d022b1d81abb4f3ab6942a648ccf8841..0000000000000000000000000000000000000000
--- a/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/demo_lec_04_template-checkpoint.ipynb
+++ /dev/null
@@ -1,840 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Jupyter notebook\n",
-    "- Terminology and usage:\n",
-    "    - input cell\n",
-    "    - cell execution (using shift + enter)\n",
-    "    - if many lines of code are entered, the last line is displayed\n",
-    "    - print(...) enables you to display output from all the lines"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Mathematical operators\n",
-    "- addition (+)\n",
-    "- subtraction (-)\n",
-    "- multiplication (*); you cannot use x or ( ) instead of *\n",
-    "- division (/)\n",
-    "- integer division (//)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Enter three addition expressions\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Add print() around some of the expressions\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Add print() around all of the expressions\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try subtraction\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try multiplication\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Things that don't work in place of *\n",
-    "# Does not work: 3 x 5\n",
-    "# Does not work: (3)(5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 1 * 1\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What do you get when you try 1 / 1?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 3 / 2?\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Data Types\n",
-    "- int (ex: 1, 5, 20, 41)\n",
-    "- float (ex: 1.0, 1.5, 5.678)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's learn about integer division. Try 3 // 2\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What is 11 // 4?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Very small numbers are displayed using scientific notation. Try 1 / 100000\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## How to determine data type?\n",
-    "- type(...)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What is type(10)?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about type(10.5)?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try out type with a mathematical expressions 3 * 2\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about type(3 / 2)?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Observe type of integer division result type(3 // 2)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Rounding float values\n",
-    "- computers round values differently than human beings\n",
-    "- computers deal with binary representation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 1 / 100\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 1.1 / 100\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 1.2 / 100?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 1.3 / 100\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## What happens when you encounter an error?\n",
-    "- as soon as you run into an error in a line, execution of that cell terminates.\n",
-    "- go to view click Toggle Line Numbers."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## More mathematical operators\n",
-    "- modulo (%): remainder of a division\n",
-    "- exponent (**)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What is 11 % 4?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 987 % 10?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# How can you combine // and % to extract number at a specific digit's place?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try out 2 ^ 3. This is not the exponent operator!\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 2 ** 3?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's do 3 ** 2\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 9 ** 0.5?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's try it a different way: 9 ** 1 / 2\n",
-    "# What's wrong?\n"
-   ]
-  },
-  {
-   "attachments": {
-    "image.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Operator Precedence\n",
-    "![image.png](attachment:image.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's try 9 ** (1 / 2)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about -5 ** 2?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Now let's try -(5 ** 2)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Unary signs. What is 3 - -4?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Unary signs. What is 3 + -4?\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## More data types\n",
-    "- str (ex: 'hello', \"how are you\", 'i am fine')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Text needs quotation. Try just hello world\n",
-    "hello world"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Now try \"hello world\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Single quotations work too. Try 'hello'\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What type do you get for \"hello world\"?\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### More about str\n",
-    "- how can you use quotations inside a str?\n",
-    "    - either use combination of single and double quotations\n",
-    "    - or use escape by typing \\ before the quotation\n",
-    "- other special characters:\n",
-    "    - \\n newline character\n",
-    "    - \\t tab character\n",
-    "- printing a str always displays just the text and not the quotations around it"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try out 'she said \"hello\"'\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Also, try out \"she said\\\"hello\\\"\" #Escape special characters with \"\\\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's add a newline: \"she said\\n\\\"hello\\\"\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try printing \"she said\\n\\\"hello\\\"\". What happened?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's use tab: \"a\\tb\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try printing \"a\\tb\"\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### String operators\n",
-    "- concatenation (+)\n",
-    "- replication (*)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Recall 3 * 4 \n",
-    "3 * 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Recall 3 + 4\n",
-    "3 + 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What happens when you try \"3\" + \"4\"? String concatenation\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Can you multiply strings: \"3\" * \"4\"?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about replicating strings: \"3\" * 4?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's all have some fun.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Santa is here early.\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Comparison operators\n",
-    "- greater than (>)\n",
-    "- lesser than (<)\n",
-    "- greater than equal to (>=)\n",
-    "- lesser than equal to (<=)\n",
-    "- equal to (==)\n",
-    "- not equal to (!=)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 3 < 5\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try -3 > -5\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 3 <= 4\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try \"A\" < \"B\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try \"a\" < \"B\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about type(5 > 3)?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 2 == 2.0\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about type(2) == type(2.0)?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 2 == 1 + 3\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 1 == 2\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What happens when you try \"1\" < 2?\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Boolean values\n",
-    "- True\n",
-    "- False\n",
-    "\n",
-    "## Comments\n",
-    "- when you add # in front of a line, you are commenting it out.\n",
-    "- commented out lines will not execute."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# type(True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# True or False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# not not not False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# not False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# not True"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# True or False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# True and False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# not True or True"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# not (True or True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 5 < 3 or 10 > 5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 5 < 3 and 10 > 5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/lec_03_Operators-checkpoint.ipynb b/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/lec_03_Operators-checkpoint.ipynb
deleted file mode 100644
index 946cdeb71f784e48322c2b9d505b4670349197f8..0000000000000000000000000000000000000000
--- a/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/lec_03_Operators-checkpoint.ipynb
+++ /dev/null
@@ -1,953 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Operators"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Learning Objectives\n",
-    "After this lecture you will be able to...\n",
-    "- Recognize examples of different Python data types: int, float, str, bool\n",
-    "- Explain the different behavior of the /, //, and % operators\n",
-    "- Evaluate numeric expressions containing mathematical operators using correct precedence\n",
-    "- Determine the correct order of operations in Python\n",
-    "- Evaluate string expressions containing string operators and escape characters\n",
-    "- Evaluate expressions containing comparison operators\n",
-    "- Evaluate boolean expressions that contain the operators \"and\", \"or\", \"not\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Jupyter notebook terminology\n",
-    "- input cell\n",
-    "- cell execution (using shift + enter)\n",
-    "- if many lines of code are entered, the last line is displayed\n",
-    "- print(...) enables you to display output from all the lines"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Mathematical operators\n",
-    "- addition (+)\n",
-    "- subtraction (-)\n",
-    "- multiplication (*)\n",
-    "- division (/)\n",
-    "- floor division (//)\n",
-    "- modulo / modulus (%)\n",
-    "- exponent (**)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If multiple lines of code are entered, **only the last line** is displayed."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Enter three expressions such as 1 + 2 in each line. Try to use +, -, and *.\n",
-    "1 + 2\n",
-    "2 * 3\n",
-    "6 - 3"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "However, **every print statement** is displayed. \n",
-    "\n",
-    "**print** is an example of a function. In a couple of lectures we will learn what functions are. For now you can just use the functions that we introduce in this lecture."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "6\n",
-      "3\n"
-     ]
-    }
-   ],
-   "source": [
-    "# TODO: Enter the same three expressions and add print() around some or all of the expressions\n",
-    "# print ensures that computation gets displayed\n",
-    "print(1 + 2)\n",
-    "print(2 * 3)\n",
-    "print(6 - 3)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Comments\n",
-    "- when you add # in front of a line, you are commenting it out.\n",
-    "- commented out lines will not execute."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Data Types\n",
-    "4 primitive data types\n",
-    "- int (ex: 1, 5, 20, 41)\n",
-    "- float (ex: 1.0, 1.5, 5.678)\n",
-    "- str (ex: \"hello\", 'cs220')\n",
-    "- bool (ex: True, False)\n",
-    "\n",
-    "**type** function enables you to determine the data type"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'int'>\n",
-      "<class 'float'>\n",
-      "<class 'str'>\n",
-      "<class 'bool'>\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(type(2))\n",
-    "print(type(4.5))\n",
-    "print(type(\"hello\"))\n",
-    "print(type(True))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can specify an expression inside the parenthesis, instead of just a data value."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'float'>\n"
-     ]
-    }
-   ],
-   "source": [
-    "# TODO: What is type(3 * 1.5)?\n",
-    "print(type(3 * 1.5))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Division operators\n",
-    "\n",
-    "There are *three* division operators in Python!\n",
-    "\n",
-    "| Operator | Name | Purpose | Example |\n",
-    "| :- | :- | :- | :- |\n",
-    "| / | Float Divisor | Gives you the answer to the division. | 11 */* 4 results in 2.75 |\n",
-    "| // | Floor Divisor | Gives you the quotient of the division. | 11 *//* 4 results in 2 , -3 *//* 2 results in -2|\n",
-    "| % | Modulus | Gives you the remainder of the division. | 11*%*4 results in 3 |"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2.75\n",
-      "2\n",
-      "-2\n",
-      "3\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Try it yourself!\n",
-    "print(11 / 4)\n",
-    "print(11 // 4)\n",
-    "print(-3 // 2)\n",
-    "print(11 % 4)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3.4e-05"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Very small numbers are displayed using scientific notation. Try 1 / 100000.\n",
-    "34 / 1000000"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Important usecase:** Combination of **//** and *%* enable you to take out digits from a number. These operators are simple yet powerful."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "7"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Get last digit of an integer by using %10\n",
-    "987 % 10"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Get the 2nd last digit of an integer by using //10 % 10\n",
-    "6834//10 % 10"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.01\n",
-      "0.011000000000000001\n",
-      "0.012\n",
-      "0.013000000000000001\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Computers round values differently than human beings. Computers deal with binary representation.\n",
-    "# Don't worry too much about seeing an approximate answer.\n",
-    "\n",
-    "# Try 1/100, 1.1/100, 1.2/100, 1.3/100\n",
-    "print(1 / 100)\n",
-    "print(1.1 / 100)\n",
-    "print(1.2 / 100)\n",
-    "print(1.3 / 100)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Exponent operator** is ****** and not **^**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "7"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "2 ^ 5 # Binary exclusive or (rarely useful)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "32\n",
-      "3.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's try 2**5 and 9**0.5\n",
-    "print(2 ** 5)\n",
-    "print(9 ** 0.5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4.5"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Let's try it a different way: 9 ** 1 / 2\n",
-    "# What's wrong?\n",
-    "9**1 / 2"
-   ]
-  },
-  {
-   "attachments": {
-    "image.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Order of Simplification / Precedence\n",
-    "- Expressions are evaluated using operator precedence ordering\n",
-    "Ordered from highest to lowest precedence.\n",
-    "\n",
-    "<div>\n",
-    "<img src=\"attachment:image.png\" width=\"600\"/>\n",
-    "</div>\n",
-    "\n",
-    "- Additional rules:\n",
-    "    1. First work within parentheses\n",
-    "    2. Do higher precedence first\n",
-    "    3. Break ties left to right (exception: exponent ** operator)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3.0"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Let's try 9 ** (1/2)\n",
-    "9 ** (1/2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-25\n",
-      "-25\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's try these two expressions.\n",
-    "print(- 5**2)\n",
-    "print(-(5**2))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "EXCEPTION: Rule 3 changes when expression contains exponent operator. When there are two exponent operators, tie should be broken right to left!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "8.0"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Let's try this expression.\n",
-    "2 ** 9**(1/2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "7"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Unary signs. What is 3 - -4?\n",
-    "3 - -4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-1"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Unary signs. What is 3 + -4?\n",
-    "3 + -4"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Strings\n",
-    "Strings are the *text* of Python. They are enclosed in `''` or `\"\"` (but don't mix and match them!)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'hello world'"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Displaying a string shows the quotations\n",
-    "'hello world'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "hello world\n",
-      "hello world\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Printing a string always removes the quotations\n",
-    "print('hello world')\n",
-    "print(\"hello world\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "A string can contain special escape characters that start with \\\n",
-    " - `\\n` is for a newline character\n",
-    " - `\\t` is for a tab character\n",
-    " - `\\'` is for a literal single quotation mark\n",
-    " - `\\\"` is for a literal double quotation mark\n",
-    " - `\\\\` is for a literal slash"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hey \"Carl\"!\n",
-      "Hey \"Carl\"!\n"
-     ]
-    }
-   ],
-   "source": [
-    "# TODO: Write code to print the following message:\n",
-    "# Hey \"Carl\"!\n",
-    "\n",
-    "print('Hey \"Carl\"!')\n",
-    "print(\"Hey \\\"Carl\\\"!\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hello\tstudents.\n"
-     ]
-    }
-   ],
-   "source": [
-    "# TODO: Write code to print the following message (Notice the tab space before students):\n",
-    "# Hello    students.\n",
-    "\n",
-    "print(\"Hello\\tstudents.\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hello everyone!\n",
-      "\tSee you later!\n"
-     ]
-    }
-   ],
-   "source": [
-    "# TODO: Write code to print the following message:\n",
-    "# (Notice the newline after everyone! and tab space before See):\n",
-    "\n",
-    "# Hello everyone!\n",
-    "#    See you later!\n",
-    "\n",
-    "print(\"Hello everyone!\\n\\tSee you later!\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### String operators\n",
-    "- concatenation (+)\n",
-    "- replication (*)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hello CS220 / CS319 students.\n",
-      "ha ha ha ha ha ha ha ha ha ha \n"
-     ]
-    }
-   ],
-   "source": [
-    "print('Hello' + ' ' + 'CS220 / CS319 students.') # concatenation\n",
-    "print('ha ' * 10) # replication"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Can you multiply strings: \"3\" * \"4\"?\n",
-    "# \"3\" * \"4\" # Does not work"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Booleans\n",
-    "Booleans are the logic of `True` and `False` (case matters in Python!). \n",
-    "We can evaluate whether a statement is `True` or `False` using comparison operators.\n",
-    "\n",
-    "#### Comparison operators\n",
-    "- equal to (`==`)\n",
-    "- not equal to (`!=`)\n",
-    "- lesser than (`<`)\n",
-    "- lesser than equal to (`<=`)\n",
-    "- greater than (`>`)\n",
-    "- greater than equal to (`>=`)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "True\n",
-      "True\n",
-      "True\n",
-      "True\n",
-      "False\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's try out some comparison operators for numbers\n",
-    "print(3 == 3)\n",
-    "print(1 != 3)\n",
-    "print(3 < 5)\n",
-    "print(5 <= 5)\n",
-    "print(-3 > -5)\n",
-    "print(3 >= 4)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "False\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Weird rule: upper case alphabets come before small case alphabets. Try these comparisons.\n",
-    "print(\"A\" < \"B\")\n",
-    "print(\"a\" < \"B\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# You can also compare types.\n",
-    "type(2) == type(2.0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What happens when you try \"1\" < 2?\n",
-    "# \"1\" < 2 # Does not work! Cannot meaningfully compare text with number"
-   ]
-  },
-  {
-   "attachments": {
-    "truth_tables.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Boolean Operators\n",
-    "\n",
-    "<div>\n",
-    "<img src=\"attachment:truth_tables.png\" width=\"600\"/>\n",
-    "</div>\n",
-    "\n",
-    "#### Truth Table - Not\n",
-    "The `not` operator flips the value of the boolean.\n",
-    "\n",
-    "#### Truth Table - And\n",
-    "The `and` operator requires both booleans to be `True` in order to be `True`, otherwise it is `False`.\n",
-    "\n",
-    "#### Truth Table - Or\n",
-    "The `or` operator requires *atleast* one of the booleans to be `True` in order to be `True`, otherwise it is `False`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "False\n",
-      "False\n",
-      "True\n",
-      "True\n",
-      "False\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's try out these expressions.\n",
-    "print(not False)\n",
-    "print(not True)\n",
-    "print(False and True)\n",
-    "print(True or False)\n",
-    "print(not True or True)\n",
-    "print(not (True or True))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "False\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's use boolean operators to compound comparisons\n",
-    "print(5 < 3 or 10 > 5)\n",
-    "print(5 < 3 and 10 > 5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "False\n",
-      "True\n"
-     ]
-    }
-   ],
-   "source": [
-    "# TODO: Write and print expressions for the following.\n",
-    "\n",
-    "# Is 7 greater than 8 and 7 less than 6?\n",
-    "print(7 > 8 and 7 < 6)\n",
-    "\n",
-    "# Is 1 not equal to 2, but greater than -12?\n",
-    "print(1 != 2 and 1 > -12)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### What happens when you encounter an error?\n",
-    "- as soon as you run into an error in a line, execution of that cell terminates\n",
-    "- none of the lines below the line with error will execute\n",
-    "- go to view click Toggle Line Numbers."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.5\n",
-      "1.0\n"
-     ]
-    },
-    {
-     "ename": "ZeroDivisionError",
-     "evalue": "division by zero",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m/var/folders/k6/kcy8b4f57hx9f1wh4sbs8mn40000gn/T/ipykernel_36194/1855220290.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# <--- clearly we cannot divide 1 by 0!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's try these expressions\n",
-    "print(1 / 2)\n",
-    "print(1 / 1)\n",
-    "print(1 / 0) # <--- clearly we cannot divide 1 by 0!\n",
-    "print(1 / -1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Other References\n",
-    "You may find [this resource](https://www.w3schools.com/python/python_operators.asp) to be helpful. It has more than you need to know!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/lec_03_Operators_template-checkpoint.ipynb b/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/lec_03_Operators_template-checkpoint.ipynb
deleted file mode 100644
index d4b1e4f6f74301339331e7730a32d88e7a7c8cfe..0000000000000000000000000000000000000000
--- a/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/lec_03_Operators_template-checkpoint.ipynb
+++ /dev/null
@@ -1,934 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Operators"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Learning Objectives\n",
-    "After this lecture you will be able to...\n",
-    "- Recognize examples of different Python data types: int, float, str, bool\n",
-    "- Explain the different behavior of the /, //, and % operators\n",
-    "- Evaluate numeric expressions containing mathematical operators using correct precedence\n",
-    "- Determine the correct order of operations in Python\n",
-    "- Evaluate string expressions containing string operators and escape characters\n",
-    "- Evaluate expressions containing comparison operators\n",
-    "- Evaluate boolean expressions that contain the operators \"and\", \"or\", \"not\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Jupyter notebook terminology\n",
-    "- input cell\n",
-    "- cell execution (using shift + enter)\n",
-    "- if many lines of code are entered, the last line is displayed\n",
-    "- print(...) enables you to display output from all the lines"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Mathematical operators\n",
-    "- addition (+)\n",
-    "- subtraction (-)\n",
-    "- multiplication (*)\n",
-    "- division (/)\n",
-    "- floor division (//)\n",
-    "- modulo / modulus (%)\n",
-    "- exponent (**)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If multiple lines of code are entered, **only the last line** is displayed."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Enter three expressions such as 1 + 2 in each line. Try to use +, -, and *.\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "However, **every print statement** is displayed. \n",
-    "\n",
-    "**print** is an example of a function. In a couple of lectures we will learn what functions are. For now you can just use the functions that we introduce in this lecture."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "6\n",
-      "3\n"
-     ]
-    }
-   ],
-   "source": [
-    "# TODO: Enter the same three expressions and add print() around some or all of the expressions\n",
-    "# print ensures that computation gets displayed\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Comments\n",
-    "- when you add # in front of a line, you are commenting it out.\n",
-    "- commented out lines will not execute."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Data Types\n",
-    "4 primitive data types\n",
-    "- int (ex: 1, 5, 20, 41)\n",
-    "- float (ex: 1.0, 1.5, 5.678)\n",
-    "- str (ex: \"hello\", 'cs220')\n",
-    "- bool (ex: True, False)\n",
-    "\n",
-    "**type** function enables you to determine the data type"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'int'>\n",
-      "<class 'float'>\n",
-      "<class 'str'>\n",
-      "<class 'bool'>\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(type(2))\n",
-    "print(type(4.5))\n",
-    "print(type(\"hello\"))\n",
-    "print(type(True))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can specify an expression inside the parenthesis, instead of just a data value."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'float'>\n"
-     ]
-    }
-   ],
-   "source": [
-    "# TODO: What is type(3 * 1.5)?\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Division operators\n",
-    "\n",
-    "There are *three* division operators in Python!\n",
-    "\n",
-    "| Operator | Name | Purpose | Example |\n",
-    "| :- | :- | :- | :- |\n",
-    "| / | Float Divisor | Gives you the answer to the division. | 11 */* 4 results in 2.75 |\n",
-    "| // | Floor Divisor | Gives you the quotient of the division. | 11 *//* 4 results in 2 , -3 *//* 2 results in -2|\n",
-    "| % | Modulus | Gives you the remainder of the division. | 11*%*4 results in 3 |"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2.75\n",
-      "2\n",
-      "-2\n",
-      "3\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Try it yourself!\n",
-    "print(11 / 4)\n",
-    "print(11 // 4)\n",
-    "print(-3 // 2)\n",
-    "print(11 % 4)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3.4e-05"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Very small numbers are displayed using scientific notation. Try 1 / 100000.\n",
-    "34 / 1000000"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Important usecase:** Combination of **//** and *%* enable you to take out digits from a number. These operators are simple yet powerful."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "7"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Get last digit of an integer by using %10\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Get the 2nd last digit of an integer by using //10 % 10\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.01\n",
-      "0.011000000000000001\n",
-      "0.012\n",
-      "0.013000000000000001\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Computers round values differently than human beings. Computers deal with binary representation.\n",
-    "# Don't worry too much about seeing an approximate answer.\n",
-    "\n",
-    "# Try 1/100, 1.1/100, 1.2/100, 1.3/100\n",
-    "print(1 / 100)\n",
-    "print(1.1 / 100)\n",
-    "print(1.2 / 100)\n",
-    "print(1.3 / 100)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Exponent operator** is ****** and not **^**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "7"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "2 ^ 5 # Binary exclusive or (rarely useful)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "32\n",
-      "3.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's try 2**5 and 9**0.5\n",
-    "print(2 ** 5)\n",
-    "print(9 ** 0.5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4.5"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Let's try it a different way: 9 ** 1 / 2\n",
-    "# What's wrong?\n"
-   ]
-  },
-  {
-   "attachments": {
-    "image.png": {
-     "image/png": 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yOt+gkG+HvoUto892cNEQ0KZh+0du65Wuehu3PH1G9/NP/sbp/eb9jgbLnw9ThVOPc31TW545x4StHt2I76h6bC8ZdUo3b8Sdp8906r5QGfNhrTKKcy1jftdtOzx8XEVTNASxTfs5IlruK84VEACB+iCAiFYfnEmlRgggopXuQCXVqAqu6ihKtb78V59ToX/pg9vS6XeYjo8mBy87RrkXC4ULbsF5esKcORn3Xe0twUeN5m2TwOVNQ8dyutpeGWBMx9KcZ+wF9aYLimkS6TQcJ8omgz2Ybtj5snnP+6JT7wVvOPXiWjrz7lwB839PaeU39RL0PlPsuFCalZRRPSyCmxYeKJYf7ie7DUFEK73+oopocuyDW+eSBcFLpuPDSaHvWeu4Pjlh9WdB+1sjcq6HXWib1D3Esxrtrn3PtbKz5hDrWro4LEljujrNsveeM/nmUgwOsVRbLpEnrD1XvpsfPCYUG5ufsL16Pwc3fWNKXdRBok7n528HozKtL//NyZOEsuDW8cmM4CXnvLP5w4JD45WW5tTLN4ebVsuWsBZW3jBMVdZl817w56VzmTN3noS6RnxHtciDHX7sz1j3meYRFGfDxNMwrFVG/SEV/K5rJVYJtWFYcc3f3iGihTGRayAAAvVAABGtHiiTRs0QQETzGxRpNrA0t1Vwk5Nie0NJOFIPs+Cm3l5hBqyMYYuXs6BAUKAKmTst6MwF08o517/+9xzkpqN/+LvaFuUEC7sgZ8Ya4yqDnJCoW3QRze+ktM9+zM2r0i60QIObl4429xmLZ6F90DGyaVZSRvWMMV1dbpZ0IMeEoZzpbx8Q0Uqv4xwRbeliozbQ+Q3e03HsNTQ6TBBZ+sb9JiiE631Tzyvve+/0pmqa73sn1Yt26Rv3+a8VOLNDPCttd22+tABJV8vHBVL03OrqcgQR+6zdl56XDqfHsX0+yj5s+gL9mRHl2WAYrcoZ3OyQTv0BVOqmxVyCaaidXfbB+EhRiVfB54OYtr06sHuuzjwxtjz7x7p+R8Vl8T7q1rnwLdN0z4985QzD2hlSGug9bdNYNv9l3/NBzDjvbvcQ0Sxj2IMACNQbAUS0eiNOelVFABGtdAcqucbXLqZz0dwc/iwZeYJjbIYZqRJsVF4ZwWHOk3o+6b7TkyAQc/ucx3OM2KCxH3gk9FTz/ljMNSSylE29NvSsVl4rZauGiNYy5ve5SXa05Yp5VRLRKiljUJhTxjWkyuLOPr3tBCJa6XUbFNFyX/Q8V7q6TPMjPzfOkOtAkOCqxxriFtxKfcfLFtGMceZb8773mlA/b++zYEY9560vXu5rR8r6Bsx70ReHN19hx2FzO+qPoLCwxa413/9jT2m6D23PwbBvZk7gkAuadsCbbmjPwo42pxdcsJeVoguWJYhp19KmkFS7L+k77ohPeUPk3qj0O6qei6Vu6l1nh/oKqzCsw/70s+nYPHtx5ji3rUNEs4xhDwIgUG8EENHqjTjpVRUBRLRcoyLNhlbY8CArdoUNs9C8JRaPtonX5HBP/y7rfseCV3PuWXHOPq990Ni3D6mXgIaqtE25MadHlMLYYTheEa3j42nOcNTmh49zhsk4wyZthP/bq9eG0pUDuOTxk8zSmXcFQhiz5MnfOvd0X798q5Z6y2GPg+KT7RWm+0unD/Wn1bHUnefNmcPl+UuN44xXSUQrt4zCNtgLzbuiqi0r+3S2FYhopddruSJa25Qb3PY0Z4i8eu4O3feL+wte8bcfXV3d7dhjJzrtVHBuR60SbNswu7dD2ittd/Xua1XR4KYh92rnFw/aw+kttnTmPcEgzlB2b7lC89LZYVonXG2aHzjc+Q5o8YXgZr8BUdqhYLusuDTsL8qzwTBqq4Obhh0qXJiwo3v6A0XzfmlI67J3nw0+7kxVYP+o8X7TbEDVpe0FrN6NwVVenblGPfPFhWJqI+to9w13lLDqTbPW39EwwVhZa5t6k4OR5mXVvKYa7hrc9A219RGGtTe8t6e5eoCWwhebRhb3iGheFnEMAiBQTwQQ0eqJNmlVHQFEtNIdqCQbWprPJmfumc4Oo7lKglvn4nm+RQFCFx3oaO926AIP619kO0zUi1eYsa9Jqb1hwlYHtXOjWeNfc3Wpd5z3OWc4autnvpzYnnQ2nCatDm7WmbFhStkHnTW/iDYkmJTRMCCvQ6kyqKdDtdJUPKWWUSKkd5MDokUGSskTYZPbjiCilV53pYpoGoKunjHeidPDegPZoX7ND/3U+0o6x8H5FoN5sL3Owt7FSttdzS8V3Bwh57beOe2E2ubg5s1bTl66Op2J5b35Duu51L0QS7S6ag8suqD8CG9vGlGPQxfMWTTXiStM2AkurKA6X/be2CAk7vxo7XOf8t1zFu0J4KpvRvCPDm95cjD9X4ytL/+9e4jxwF2N/kBTT0LFVc/vaOhcrC/1yakL4RbsdecVw8KwVjE7PnvDqI5Un5rSQMM4veJb1HrOajhENN/rxwkIgEAdEUBEqyPYJFV9BBDRohnlaTKwwiaQD2OW5oIJlltDjqJsrf+9KudZxRU09tUzLJhGmLFsHQYN75DoE3xGTp4WSQj+m91IEa3l+YvDoepYajRnjXpvBMsR5byQcKfnSxXR1BPPu2ly6yj5IEw62g5EtNLrMShg6f2RM+/9qefW0ulDTOuLVxj9eRH2vnR8OtP76jkih9PzaM4o33Wd2D8SbDzBPHiFKhvG7ittd1WG4KYh/DZ+7149gIJiiHf+zJy8TL8jJx4r8njTtN8Ab1r5jtum3eZ91DlufenKnHTyPe+9HvY9Uu8yhQm7F9YDSj3SgpsdbqgVkL2bhCPlNfjzhtFx60t/dssTxFT3tdCPtxze43p+R4O9ClXe4B9gNm9hvd3FhXxYa9iqemDb59mX3pYhogXfLM5BAATqhQAiWr2QJp2aIICIVrrRkXRDrXlEbi+HILmcf4BDRJ4wZyD4rOlod4eiBLEKGvthqz+qF1RwC3Og9K+zem6oR0S+rZEimhYWCJuDzuZVPQ602EMQo2Ln1RbR5IS4W0ebO+S0WD64n462AxGt9HoMClhdrZ+W/B7r/WkZfZb76tkDRwAKLPIhQS74vgXzUIqIVmq72/bqLTZ77r5p2P45ebJ5DE4NoLbO3ov0DRiSO4Qy7Btg4wzuw0Q/DVsMhotynjMsXwLV67c7cUUV0dQbzXR2uNjpQHFIMC1384pkQUzV29wuqlOsjLX8jkqsC252CoiwfIWJpy3PXZgXaw0BDouHa9HbNES0IEM5BwEQqBcCiGj1Qpp0aoIAIlp0YyNNhpl6TBTals64M69xquXjC22aJDkfVkFjP9SZC5mDxutAaVhp2HCdsDw1UkQTBhqiokmo825dXaZ1fL+8eIXhWG0RTWl0tS50sqhVA8PS5Fp62wlEtNLrNihglSuiSVzR0Pdim+Y4C76DwTxULKIVaHfDJur3TvoezFvOPGAd7W7+q/ENCKYXPA8bfiqMvXN8Bp8JO9eKqaarM6d6ljxxqlOeqCKa4vbO2aUINTw37A+jnMTyXNA30OY5iGmY6GrD2n09vqNh5dPiGDYPwX3zg0fnlNb2ag/DWvOtBePgvLT2DBEth3JcAAEQqBMCiGh1AppkaoMAIlppBkdaDLSW5y8pSCg5IfnK2jLm/ILPNj90bN5ng8Z+qSKaHLfOJQty0u9c+JYz51Bw7plGi2jdGO5iWsb8zmiOuXybevjlwzt4vRYimlYC1CThymcwPc7T3UYgopVev0EBq1wRTe+WVsEttOkPj7B3MJiHWopoWhAhuKkHU1i+dK3j01m+4J1N77thK/0G5EszeD1sIQT1kvb+IRN8xnvu9CRe+JavHDpRWezcdmHCTthwTsUVnNPM6Yk2cFejPHk3Z/68cX2cOcw0j1m+nx3mqDznYDrtPy7e3jLZ43p9R51yewv3P/HQ5iO4D5ubVdMTKFwo1iG95YNxcl64fUNECxCUUxAAgbohgIhWN6hJqBYIIKIVNjDSaoA589Ysaw2lVLF/sWUY255LwQg6F75Z0HjPMfZfuTknfNhqaNbxcVbvDCSqVb7sHCvBOdsiiWiD98zJQ9R6LyZoeeNRHuUwa/W24KYyeMMWOi6WZuicaBHKqPxpeFGhtLmXvvYCEa30Og0KWJWIaFrYJDiXo7d9sCJC8N0L5mHpa4PyvruVtrta/CW45RtKp1Upg0MXvd+USvMSxCHfuXqLhW6dy4ztSZbvWfVACwqBNi7vXGShwk5gUQClETZsV3N46l6wZ7f+zLDfs3z5C16Pgqn3mXp+R/VueDctbpCvF6NW0w5utrdZVKy95eS4eNuGiBZkHOcgAAL1QgARrV5Ik05NEEBEK25kpNUQWzpjWCintNx8sTKHGeGKzE6WnO/5KMZ+IREtKCBp7hdvWsVEtCVPnZ5T5paxf/LFoR4WUVfsDObHuzqnjH8N1QwuIKDzrpaPffkoNMTFWz4dF0pT90stoxw29YqQc6MJwdum/cftaRFMm/P0tReIaKXXaVDAqkRE0zulSeTDNolr+QQV9b71bhLnbQ8pxSlB3E66Xmm72zRkn5xhjWormu75ka/tVF7Dhtq3vni5G67SvJTSBi2deY8Xoi+OOzuM2mr9OaOyqb0XVuoJpcUggr3G7INqe70YRxF29D0L64Vse3uH5VELz+QrZ/MDR5pl749z/pCxYaJgasNqH/yG1PI7qrnbglv36pm7+MrorEgbmAtQ75XlfxSsvWXkOFq7hogWZCfnIAAC9UIAEa1eSJNOTRBARItmaKTRIGt+4PAcTsk59DoJ+crtzHUSmCumezn63X2GcfD5KMZ+IREtuJqd6WhznCClo94FwR5y6hmneVaWzry721G679CcMne1txjN+dM64R9m2fyXnftasTKY97DzoDPiFdHaJv7LiUu4yGloGX220VDXlucvzXFIC/UiCaZbKE2FDZsPqFAZw3pJRBFSg/niPJltCSJa6fVWbRFNgldwFUM1HmErJNv3rH3OYzltmXo1qd1xRPG2Rc5qoQpfaburONpnP5qTnoQ0zVm1ZOQJpuWZc03Hgldzw6jnkWfYXTXyYjEotpc41vHR5Jw8lXNBQlhwldUwYUeLKqj3YPMjP3f+VNKiCsGt48OJ7vdFCzToGxHc9C3SHG76U0c947QaquZRs5t3Ls0omHqxqud31PkeBRZVUBmWvTvG+cNnyWO/Ms5w4c5ltmjuvm3Sv12cwrAOGzrrLSfHxds2RDSXbhyAAAjUGQFEtDoDTnLVRQARrbiRkWZDrGPBKz5C2SEmUcrcPmeU71n9o17suSjGfiERrX32I740nZOuzhzxLDeQMTK49a920AEOC1tNES0s/uA17/w2xTAsJqKVWkavY2bzVUrPuGL55X682xhEtNLrJ9iGVNoTzRkiv3Sxff2cvUS1QiJB2BBLXwTGVFVEkxAW1qMqmKbvvKvLBBdFqPQbUGp7oqGDYQKgL59FTpZ9MMFZBCCYdpiwUyQq07lwtll8u38KgZbnLy72WM79SkS0en9HW1/qk5P/YheEue2FJtzDsC70fgTrivPwdg4RrRgTuQ8CIFArBBDRaoUs8dYFAUS0cMMiKwaXb5GAjracf9oL4dD8yPE+jjYPP7LmIpom4A9bLc2XkTwn1uCWYFVsq6eIJoemEM7Be8VENIUvpYwaahXcgkNcg3ngPD3tBiJa6XVZbREtTBArNk+iegxLaCi02UUJqiVcqddU1J5d6hWs4ZHBtqJaeQnGW+xcvcOCPZULYefc62gzrRP+mbd3dpiwUyhOiZAaPhqWV/2BFdYjLSw+La7j/eMlCqbeNBvxHdVccho2GmVTL0tv70XlPQxr+033lo3j0tozRLQojCQMCIBALRBARKsFqsRZNwQQ0UozONJmoHUPI2py+BalJ1mw/HLStHV8/FqoY5AT/tOZPm63Tbwm5zkZzyYwtMNOLqz45JgFh8h0tX1uNPRDQ0eCw6Lk9F0Aha8AACAASURBVNmFCWx+mkf81HR8MsOXF51oeNLSN+43chZt2EL79jlP+uLQxMg2vHrUyTFyMArM9eKk1fKxM9zH+2+7fbbQvlCa3ueillE9NbzO+LJ5L7LAwIDstAuIaKXXtYaJe7fOxe+57733HYxyLDGsc9Fcb3RO+9c0ZO+icar9bpvaP1Sc0NBOK4YHh++V0+7asqi90tBCDUkM2yQwaqVQtX/2Ge++mnnxxhvlWHnXUHXN25ZXsOpc5rSHKmMxkSZM2NHCAMHNDulvGrpvKCY2703D9nOGbAa/b058HUudb5bqNDhnZxRMbRp234jvaNM9B7lDjYMYaTEK1YuGsNo8evc5C0XoTz8WwgnFyotbsWNEtBwmcgEEQKBOCCCi1QlokqkNAohopTtQxYySpN1vvu8wZ/6WxbfvVbJBpsmYNfeLVmSrZ7nlDDXdd4iRuNY01P/PvgxrzT2mf9uD/2YH8ygBST3omh8+zhHOShW0gvHlO3cmrh62v9Hkyc0PHpPXwcz3fCXXo5ZRc+8EJwqvJF2eTUbbgojW2HpSr9fgpjkaS3l/JMSpDVZ72Hz/4SX1KC4lnWBYtS3OnF2PHG+aHzjif+2af8L44DNxOtf3QX+8qFd18/0/Nt3fwOj5DxPRJLwpHs1j5nxX7jogR/SKgoHy1jziGOc71t17LXq+osSvMI36jjrpDt3X+RY6GN19IIJYg/64QUQLtr6cgwAI1AsBRLR6IU06NUEAEa2xDlRUY5dw1BMcgAO14AAiWmN5FZyXUh96CVO1qGvirG5d5xPRwLm6OINn7fBERKuJa0WkIAACERBARIsAEkHiiwAiWu2MEww/sIUDcCDuHEBEaxxH1XMsuC17ZzQCWoN65ZT6riKiNe7dKbWuCB9eV4howRaYcxAAgXohgIhWL6RJpyYIIKKFGxYYXOACB+BAFjiAiNY4ni97d0zOd11D0bPAuzSUERGtce9OGvgThzIgouU0wVwAARCoEwKIaHUCmmRqgwAiGkZgHAw58gAP4UBjOICI1hjcNRdXcOv4aAoCWkJ6oam9QkRrzLvDt6J6uCOiBVthzkEABOqFACJavZAmnZoggIhWPWMEww4s4QAcSBoHENEaw9n2Nx/I+aZr5cik8SfL+UVEa8y7k2XOVbvsiGg5zTAXQAAE6oQAIlqdgCaZ2iCAiIYRWG2jjPjgFBxIDgcQ0epfV1q90XR2+D7qnYvmGq2yybtT//ooF3NEtOTUVbl1nPbnENF8zTAnIAACdUQAEa2OYJNU9RFARMMITLuRSPngOBzIzwFEtPzY1Io3EsuWPHW6aXn6DPfXfN9hCGgJGsopbiwevKdbf6rLJU+cSh0mrA5r9Y4nJV5EtOr7VcQIAiAQDQFEtGg4ESqmCCCi1d+BSopxRT7hBhxIPwcQ0dJfx7zH1DEcgANhHEBEi6lzRrZAIAMIIKJloJLTXERENAyrMMOKa/ACDmSDA4ho2ahn3mfqGQ7AgSAHENHS7OFRNhCINwKIaPGuH3JXBAFENIyqoFHFOZyAA9nhACJaduqa95q6hgNwwMsBRLQiThK3QQAEaoYAIlrNoCXieiCAiIZB5TWoOIYPcCBbHEBEy1Z9835T33AADlgOIKLVw9MiDRAAgTAEENHCUOFaYhBARMOYssYUe7gAB7LHAUS07NU57zl1DgfggDiAiJYYd42MgkDqEEBES12VZqtAiGgYUhjTcAAOZJcDiGjZrXvee+oeDmSbA4ho2fL5KC0IxAkBRLQ41QZ5KRkBRLRsG1AY0NQ/HMg2BxDRsl3/vP/UPxzILgcQ0Up2m3gABECgSgggolUJSKJpDAKIaNk1njCcqXs4AAcQ0eAA7QAcgAPZ5AAiWmN8L1IFARAwBhENFiQaAUS0bBpOGMzUOxyAA+IAIho8oC2AA3AgmxxAREu0C0fmQSDRCCCiJbr6yDwiWjYNJwxm6h0OwAFxABENHtAWwAE4kE0OIKLhB4IACDQKAUS0RiFPulVBABEtm4YTBjP1DgfggDiAiAYPaAvgABzIJgcQ0ariShEJCIBAGQggopUBGo/EBwFEtGwaThjM1DscgAPiACIaPKAtgANwIJscQESLjz9GTkAgawggomWtxlNWXkS0bBpOGMzUOxyAA+IAIho8oC2AA3AgmxxAREuZU0dxQCBBCCCiJaiyyGouAoho2TScMJipdzgAB8QBRDR4QFsAB+BANjmAiJbrF3EFBECgPgggotUHZ1KpEQKIaNk0nDCYqXc4AAfEAUQ0eEBbAAfgQDY5gIhWI+eKaEEABIoigIhWFCICxBkBRLRsGk4YzNQ7HIAD4gAiGjygLYADcCCbHEBEi7OHRt5AIN0IIKKlu35TXzpEtGwaThjM1DscgAPiACIaPKAtgANwIJscQERLvZtHAUEgtgggosW2ashYFAQQ0bJpOGEwU+9wAA6IA4ho8IC2AA7AgWxyABEtiqdEGBAAgVoggIhWC1SJs24IWBFtxGW7mYl//x4/MIADcAAOZIgDcqLu+OMe1HmG6pxvPbYOHIAD4oDa/6FDh9bN5yAhEAABELAIIKJZJNgnEoFZs2Y5H1F9SPmBARyAA3AADsABOAAH4AAcyAYHrrrqqkT6L2QaBEAg2QggoiW7/jKfeyuivTD2CTN/3kx+YAAH4AAcyBAH5Cg/8tC91HmG6pxvPbYOHIAD4oDa/+HDh2feFwIAEACB+iOAiFZ/zEmxigjY4ZzTpo4z7a0L+IEBHIADcCBDHJATNWb0SOo8Q3XOtx5bBw7AAXEAEa2KDhVRgQAIlIQAIlpJcBE4bgggomFIYUzDATiQXQ4gomW37nnvqXs4kG0OIKLFzSsjPyCQHQQQ0bJT16ksKSJatg0oDGjqHw5kmwOIaNmuf95/6h8OZJcDiGipdO0oFAgkAgFEtERUE5nMhwAiWnaNJwxn6h4OwAFENDhAOwAH4EA2OYCIls874joIgECtEUBEqzXCxF9TBBDRsmk4YTBT73AADogDmlwaLsAFOAAH4ED2OICIVlMXi8hBAAQKIICIVgAcbsUfAUS07BlNGMrUORyAA3AADsABOAAHss0BRLT4+2nkEATSigAiWlprNiPlQkTLtgGFAU39wwE4AAfgAByAA3AgexxARMuIs0cxQSCGCCCixbBSyFJ0BBDRsmc0YShT53AADsABOAAH4AAcyDYHENGi+0uEBAEQqC4CiGjVxZPY6owAIlq2DSgMaOofDmSbAwP6X2umTR3HvGit2eYB7QD1DweyxwFEtDo7XSQHAiDgIoCI5kLBQRIRQETLntGEoUydwwE4YDkgJ2rM6JGIaIhocAAOwIGMcQARLYmeG3kGgXQggIiWjnrMbCkQ0XCmrTPNHi7AgexxABEte3XOe06dwwE4IA4gomXW/aPgINBwBBDRGl4F1c/A+++/b0477bSa/d55553qZ7rMGBHRMKQwpuEAHMguBxDRslv3vPfUPRzINgcQ0cp0nngMBECgYgQQ0SqGMH4RTJgwwSy33HI1+02aNCk2hUZEy7YBhQFN/cOBbHMAES3b9c/7T/3DgexyABEtNu4YGQGBzCGAiJbCKkdEy65BgTFJ3cMBOJAlDiCiwfcs8Z2ywnc48AUHENFS6MRSJBBICAKIaAmpqFKyiYj2xQcWYwMs4AAcgANwAA7AATgAB+BAujiAiFaKd0hYEACBaiKAiFZNNGMSFyJauowEjD7qEw7AATgAB+AAHIADcAAOfMEBRLSYOJ5kAwQyiAAiWgorHRHtiw8sxgZYwAE4AAfgAByAA3AADsCBdHEAES2FTixFAoGEIICIlpCKKiWbb7zxhtl5551r9mN1znQZIRiV1CccgANwAA7AATgAB+BAkjiAiFaKd0hYEACBaiKAiFZNNImr7giwOicGX5IMPvIKX+FAdTnQt88VZtrUcQZcq4sreIInHIADcecAIlrd3S4SBAEQ+B8CiGhQIdEIIKJh5MXdyCN/cBQO1I4DcqLGjB6JiNZaO4zhL9jCATgQRw4goiXahSPzIJBoBBDREl19tc/8ggULzFZbbeX++vfvX/tES0gBEQ3DLo6GHXmCl3CgPhxARKsPzvAZnOEAHIgbBxDRSnCYCAoCIFBVBBDRqgpnOiNbe+21zXLLLef8tt9++1gVEhENoy5uRh35gZNwoH4cQESrH9bwGqzhAByIEwcQ0Yq7ZPPmzTOXXnqpOf74480zzzxT/IGUhbjtttvMgAEDcn5vvvlmaEnLwau5udkonfPOO8/85Cc/MYcccog5+eSTzeWXX26mTp0amk6jLkbJazkYNKo8jUwXEa2R6Dcw7WXLlplJkyY5jcqVV15pwn6XXHKJ0+haAc3u33777Qbm3J80IhoGXZwMOvICH+FAfTmAiFZfvOE3eMMBOBAXDiCi+X2i4FlLS4tZffXV3Y4Q8uNuv/32YLBUn3/5y1/2ld/6sjfffHNOucvB61//+pfp2bNnaBpK67rrrstJp1EXouS1HAwaVZ6wdDs7O80999xjpA/UekNEqzXCMYx/7ty5Ztttt837wtsGJt/+sccei02pENEw5uJizJEPuAgH6s+Bc889mznRmA+NOfHgABzIIAcQ0Qq7Y4MGDcrx9Xr37l34oZTdLUVEKxUv9TzL5yvb63ER0aLmtVQM4kQXCWgnnHCCUyejRo2qedYQ0WoOcbwSkOi0zjrrFH3p7csftle32LhsiGj1d1oRCsAcDsABOAAH4AAcgANwoJEcQEQr7I1df/31Of4eIlr39ERhPdFKwWvMmDE52Ib5zHEQ0UrJaykYFGZffe92dXWZk046ya0TRLT64p+J1C677DKXYGEve5Rrffr0iQ1WiGgYcI004Egb/sEBOAAH4AAcgANwoP4cQEQr7I7NmTPH9OrVy+f3MZwzv4hWCl4///nPfbjm85/jIKKVktdSMCjMvvrdlYB26qmn+uoDEa1++Gcipfb2drPmmmv6SJbvpS90/aabbooNXoho9TdaMBTBHA7AATgAB+BA7TkweeJz5srLLzKvTn2x5OGK1/3776b/Df8s+Tnqtfb1CsbVwRgRrbg79sorr5gzzzzTGeamHklZ20oZzilsouK1xRZbhPrTuj569Gjz+eefO3OPy09t9FZqXqNi0Ohy2fTPOOOMnLpARLPosK8KArNnz84hWSGxLOyeJqjUqh1x2RDRqmOIYNCBIxyAA3AADsCBxnPgs4/nuMLXfwZ2D8cacvvN7jXvfW99NS+aZ/Sz1zbeaEPzf5tv5p63NM03TZ+/557bcOwbX+fUQXl1kBURTYKMBLCrr77anH766eb88883Gnb3wgsvmLa2trwu2ZNPPmkeffTRnN/8+fPdZxYuXJhzX89o/uuOjg4nnOaamj59uhkyZIizAuXvf/97c80115hZs2a58XgP1DNIK4H269fPnHPOOc4zyvvkyZO9wXzHn3zySWg+Hn/8caP4lixZYl566SWjYZjnnnuuufDCC53j9957zxdP8KQUES0KXop/0aJF5ktf+lKoT63J+72bVucMqwNd0yT+YZsW/8v3TKH6DourlLzq+agYFKsvxaV6U/1p8ULxQJ1wpEWEbeVyXPGG6RVakTaIocpWzY050aqJZszjeu6550KJFiTfCiusYDbeeGPnt8Yaa/ieidPKnIIbEa08wwODDdzgABxIAwdYWAAep4HHtgwjht9pVlllZfPcmJGO2DXykXsdG+zJUcOd8/H/fcb07LmqGTb0Pz4xbPHCd80+e+9hDj3kQLO05SPn3ve/v5Pp3XsXN9zPjjva7LLLTiafCGfzwJ53KikcSLuIJpFqp512yivYyH9T54bf/va35q233srxQqMISBLLgn6gPV+wYIEjhn3jG9/IG+aoo45yel3ZxJ9//nmzySab5A1/4IEHmqVLl9rg7v6BBx7I+8zgwYPN17/+9dD7KuNhhx2Wt4NHFAxsJoqFve2228yNN95oJCJajIJ7CXwKo58ESp0Hw9jzgQMH2qR9+6FDh4Y+s/LKK5vPPvvMFzbfSTl5VVzFMLDpFaqvpqYmpz723nvvnHJIY5DwZbdKOF6oHizG3r3KVs0NEa2aaMY8rjvvvDOHzBdddJF59913zcEHH+ze85JbiveWW27p3rvkkktiVUpENIy9pBh75DOXq3Lm+lx5sevkgVEuRmBSGBM5UWNGdwsOYFUYK/CJPz7nnnO6Y2+ts87a5u03pxoN55QT8MqUF8y7c18zG264vnN+8q9P8LWb01972egZhb3wj79z7h1x+MHm6KMOc47VzureGmusbqZMGut7Fl7EnxfUUXgdpVlEGzFihOnZs6fz3nqFgHzHwR5QctaiCCKFRLSzzz7bLL/88kXzIKFPvdZuueUW89WvfrVo+OOPPz7HlywkyuQrs/e6pitSz7zgFgUD+0yxsCuuuGLRsnnzNHHiRKM5xvJhuMMOO9ikffvvfve7oelIkIu6lZNXxV0MA5t+ofpS78B8Q0iFz/e+9z0nmko4rp6IXqyjHKts1dwQ0aqJZszjkpLvJZn+vVBXS23Dhg1z762yyirmww8/dEvjFd969OhhWltb3XuNPkBECzcsMLjAJQkc+OlPjnCMiyTklTzG851CRItnvfC+lF8v//7XX512cfvttnGENNltc9+eZtSzTE7AX6+6PFQEk+i2ww7bOrbc0DsGmtN/+2tzxumnmPvu6bb9tvnOVmbWjAmhz1Jf5dcX2DUOu7SKaM3NzeZrX/ua65d5fbd8x7UQ0fKlFXZ96623rii/hUSZsPTCrq277rrGO1RVPmpUUShK2HKFqWOPPTYvNi+//LLPldbwx7CyfeUrX3E6vfgCFzgpN69R8SpUXwcddFBoGWy51EuvEo5reKiNq5Q9IloBwnCrMAIjR470kW6zzTZzH1i8eLGRQGbJqBfeCmzBbqVTpkxxn2v0ASJa44wXDEewr5QDa665BiJaKzyqhEeIaPCnEv7E9dmnnnjQrLXWmk5PMg3v1FDMXr1WMxreWSjPGtZ5/M+OMXKgjjziEOf5lVZaydkv/OSLudYKxcE93qmkcCCtItr999/v+mPWL7P79dZbz/z4xz82u+66q5GwYq83WkSz+Yi632+//XwuZCFRJmqcCvezn/3MF29UUUgPFQtbrjClHmn5ynDiiSf68rvXXnuFhv3lL3/pC1fspNy8FsPApltufamn4qeffmoq4fi223b/WZQP03zXEdFs7bEvGYHgS6yx1d7tkEMO8b24Gst88sknO+PtvYRUz7S4bIhoGHtJMfbIZy5XEdFyMYEnpWGCiFYaXvArnni9M+c1s98P93IEsN+fd6a5+h99nR5n3smrtUqnrl/wh3PMiSccZw45+ACnh5p6ph126I/Maaf+ylxx2YVmwE3XmH332dO15zQP2k39/2X+fMWfnJ5pxxz9Y/P3v15RUIyDJ/HkCfXir5e0iminnnqq+/56/S8JEO3t7a4Lpvmx/v3vfzvzhdVSRDvggAPMxRdfbMLmuPLmzx5vuOGGRkNB9Zy9Ftyr15h3KyTKaB6tk046yZmY/rLLLnPm7A7GZ8/VIUST3tstqiik8MXCaqSWTSfKXosK2C0fdupxaOc5U6+0sHj1HXj99ddtVJH25ea1GAY28UL1FVYGe+2II45woqiE48L12Wef9Y2is/Hb/VVXXeWEUTj7e/HFF232q7JnOGdVYExGJFr5Qg2RJZj23pVSvMM2vWGCxyJmXDZENL9BgYGVi0dr8wd1dxbalnxYcZp2cuhK6rTcslea/6jpliqiRY23Esx4NvcdijMmLCyQrPqKM5cambfXp/3Xsc3kJGves5122t4cfND+vgnFJZTtuON2Zt1113Gva36zY396pPPs6qv3Mltu8X9mrz17m+99b0fX1lNcWnRAK3WqV5psOvVSa2R5SZv3thocSKuIpvmqg76XPVfPpeAib/LvvNPwWB8tiiBSaE40pemd/F6rdO6yyy5586bwf/7zn43C2U2T/tu8B/fy4exWSJQZN26cDebsNc9YocUOBg0a5IaPgoENXCysFkTQXOFjx47NW6bx48c7YYKraAZHg3mx0Eqn2o48srst997TsTAsdSs3r8UwsPkoVF82/+opuc0225i11+6er1PXNQ+atmpwXHOv2bSC+1GjRtms1myPiFYzaOMZce/evX2EO+uss9yMajWNKJNY3n333e4zjT5ARMMQCxpiEp/63/BPZ5Wy9df/huNsbP6tTZ3hLKOffMjnOMj52GP33cwfzj/bdz0Ypz2f89Yr5oD993GeuX3QTc58NXvu8QNn7pnb/nOj2X+/vc1GG23g/JulFdS0MtqZZ5xi3po1uWj8yvctA68z6iXw7f/7ljMcRxNFq3fCRReeZz6a/0ZoHDOnj3fyc/GfznfuPz7yPnPySb8wm35zY7fsKmexuXAUz6mnnOg4aXLkbP7/dNHvzeefzs1Ju5x0f/ubk5y8CnP97EfPnmsvZ88r4sm51OTYqkuFlwN54AH7mgcfGOquQmfrhz3tARyAA0nlwKcL3nbbWbW5PznmcPOtzb7ptHvf2XpLR1T7+KPZTpgli993vj8qq4ZwNi+a5z6rb4AEtW9usrHZeqstzKqrrmIeuO8O976+JR998KZ7nlS8yDfvelpFtEKCi+wgCR2adue1114r6IZFEUQKiWiavD24FRI/TjjhhGBw8+CDD7q2nrX57N47H1ghUUb+aXC7/vrr88Z7+eWXu8GjYGADRw0rocyWIbh/9dVXbXS+vaZIyjdv3Le//W0zc+bMvD3hKulBVWpeo2JQqL6EiRYWmDFjhouBFp3YeOON3Z6U1eA4IpoLLwf1QKBv376+F18qsV4wu6n7bbBBCJ7rH4C4bIhoGFFeQ3r+ezMcgcVyVl2g1dvJe37O2b81ckD03HNjRrr/zGsIjTeu4PH77053xC3FJbFHjot6Adi47V7vlBwYe669BKlBt96YN35NCO0dfmOf8Q7lWW+9dc2jD9+TE8e4F59y0jroR/sZCXneZ1ZeubvXgeLTvDojht+Z87zKOeT2mx1Hy+ZZTpd3PgU5ci+MHeV7tpx0D//xQWbjjTZ0fzY97zWJf1ZEkzPonfNjk4038q38ZFehC9YV57QLcAAOJJUDb86cZLb97tZOm/zSC0867btW6dS3bItvb25ee3Wcry32lrPf3650HDH9kfK7c093fnbFz8sv/SN/PDAHZV7ueHmUlOO0imjysYJT7Fh7ybuXvXf00UcbiQlhWxRBpJCItmDBgpxohw8f7rNvvfmREBTcJk2alDe8t4dZIVEmTESTsORN23v861//2s1GFAxs4KhhSxWmbPy33XZb3jxvuummofd23313+3hZ+1LzGhWDQvUl/yHK8NNKOY6IVhYleKhcBNQgrrrqqr4XVQsMaGEBbQsXLjQ69zZG3uMNNtig3KRr8hwiGo6SNfYkvNiVydRbSYKShC7d17/3mk/GCkNyJuxzjz16ryvUaD4Ze92717/22237Hee90HAa22PAimgaJq1eXOP/+4yxQw7fnfuaGTb0P2aDDdZz3yf1kPPGq2MJf+pxpvdstdV6OvPZzJn9qhPus4/nmCcef8B8d5ut3DjuvXuQLw4rZikPMqjU6+6G6/qZ2W9MccKpB9oP9+2eH0e42LzbfAy/f4gbt3o+TH/tZec59YyTcGaHBWmS6w/fn+WmXWm6Sr/QcM6Wpvlm7bXXcvKmOYBsbz4JoMJAw5bUs82Wgz1tARyAA0nnwJOjhjvtotryhx4c5rTH+jao5+/TT4xwpuTQd+LhEXf52r5Fn73jLD6gsD/4wfedP4qOO/YoZ441fZPUS1r39EeGvitJx4n8866LA2kW0TQc8Pzzz8/bO0nvs/1tvvnm5oMPPsjxs6IIIqWKaBK+bLrBfZiINmvWrLzhKxHR3n///bzxnnLKKS4WUTCwgaOGLVWYsvFriGWhYahBPHWuHluVbKXmNSoGhUS00047LVKWK+U4IlokmAlUTQQ0Xj34omrCRrupK6qdN8Mbbq211jKvvPKKDRaLPSIahpQ1pm+8/h8Or9dYY/W8QxclrInTGq7o/Tf/nrsGuYaKJm62cWqvFc00MbOe22rLb5sP5s1071sRTUMQvc94jxd8+JYzDEfPq0fa3Len+cL+9CdHOHFruI4VvrzP61hDdX71y5854b7+9bV9QzutmKX4JdipV1vweQmMEp0URpNQ2/sSGdW7S9fPPus097q9r72cM5VbYX75i2PdMJWka+MvJKI9+0z3asLq9WfDe/cqkwRI7zWOaQ/gABxIMgfOOP0Up629qs+lTtv2zFMPO+fqNa1y6Q+SYFus6zNeH+/0gNZ8au+987oTVnOj6Q8U3dd3SHOiqUeyvltJxoi8845bDqRZRLNOliZFz9dLSW2B/WmusuAWRRBJqog2ZcoUt+wWA7u/9NJLXSiiYGADRw1bqjBl49f+r3/9a9582/zb/Xe/+13vo2Udl5rXqBgUEtGKDTMOFqRcjhcS0R555JFgMlU/Z060qkMa/whbWlqcSRE1MaL9vfHGG76Ma4JKjV/WZIb77LOPsypL2D8MvocacIKIhjElY0q9puywzVtvuaGgg7Drrjs7H7Dzf3+WL5zmI7MfrpsH/Nu51/T5e84cXbqu+WWCAlgUEU350xw0Er8Uz0knHu+mq54FuqaP1svjRrvXrYHo3Ssv6mWm8Jpnzd6zYpaGkL469UX3ur1v91qdTc+qd4K99u9/dX/MNVzT9qCz97x7DavUs/rZ+dEqSdfGXUhEU68+pafhSzY8e973IAdYWABOBDmR5HN9y+6681a3zbtzyC1OO3jfPYPda/rTJ6y91pDPqZOfd8Op7VQvZouHhLb/vvS0e26vs+cdSioHsiCiybVatmyZsxLhtttu69pi1iaze/Ve1Wgi7xZFEEmqiKZ5z2zZg/shKjnp5gAAIABJREFUQ4a4METBwAaOGrZUYcrGr73qKOrKmUOHDvU+WtZxqXmNikEhES1s+G2xzJfD8UIi2q233losyYrvI6JVDCERNBIBRDSMPxl/6sFlP6LqbXb3sNvy/rQwgMIecvABOc7EP/v1ce7JGBl8W39ncQKF/cY3vh7auy2qiKY8SphTXOrVZQ1WDSvVNa+wZu+F7e3QSw0ttfetmKU50ey1sP1Lzz/hpKWV2uz9E084zrmmnnaFMLOOnPJqxb5K0rXpFxLRFGazTTdx8ifR0Ip39ln2vPvigJyoMaO7e+nACTiRNg5oSgAtVuNdGCBqGdWua+GbqOEJx/uTNA6kVUSbPHmyue6660xra6vPxero6DAXXHCBYxfJHgv+nn/+eV/4KIJIEkQ0dfjwbhoxtdpqq+WU3+IxceJEN3gUDGzgqGFLFaZs/Hb/u9/9Lm/ebRk22WQTRzy1z5S7LzWvUTGoVESrBseXLFnimwfaYqf9lltuaewc7hIuNR/d9ttvb/r3718ulDnPIaLlQJLuC88884y55JJLfL+nnnoqtNB/+9vfnKWM1UXY/tSox2lDRMPok9GnCfe9jWeUY/XqCjMYL7n4D764JPR4/933PlOKiKbho8qX5i6zCxscecQhzjXb880bd9ixhpIqDg1HtT0RoopZ6kWnZ7Xyp43bzncWBS8b5o7BA5znK0nXpl9MRJOQKbyUtnraqfdg2HBVGx/77LUHiGjZq3Pec+ocDsABcSCtItqdd97p2D3rrbee+de//mUkOGg+LfXwueKKK5x71ibz7iWIebcogkgSRDSVcf/99zf9+vUzWgAvOLe3F4PddtvNC4E7VYs3jI5vvvlmXzidRMFL4UoVpoIJvfPOO65tG8yXPdfqo9XYSs1rVAwqFdGqxXG9IxazsP3yyy/vu3/NNddUA1YnDkS0qkGZjIgOOOAAH5lEOO/YcW8prr322pywUnbjtCGiYUjJkBpw0zUOV9Ub65GH7o70C642aY1yDafRCpG2MdZqZ/ZecF+KiKY5vGxjrkmiFZfmQVM6mvcmGHe+c7vyp40jqpilOXGUlldEW3/9bzjXht4xMBJmwtYuLlBJurZsxUQ0hdPcaHZOOuVfotovfv5TNx82LvbZbAsQ0bJZ77zv1DscgANpF9GsHaq9xA2NkvBe8x7LNvrss898LloUQSQpIpq3rIWOR48eXTIG9oEoeClsqcKUjd+7/9nPuuc5DivL2muvbTT1UjW2UvMaFYNqiWje8pfD8R/+8Id53wlv3PYYEa0arMpgHM3NzaZHjx45ZAt2k7XQzJgxIyesSKj50uKyIaJhRMmQ1gqW4uaBB+wbWYzKZ4Crt5NtbLXXYgCTJjwbGm8pIprmRVN8+khosn6lv98P93KuachOvvx4r2shAPuRscMbKxGztIqb8qShnt50ohxXkq6NP4qIZsNKaNQQXFs3WhBBc/zY++yz2RYgomWz3nnfqXc4AAeyJKJZ2yff/uijj85xzaIIImkS0Y455piyMLAPRcFLYUsVpmz83n0h3LUAYLW2UvMaFYNaiGj5uG2vh3F8zJgxrl9gwxXaI6JVi1kZi2fq1Kk5RJOo1t7enheJddZZJ+eZRx99NG/4et9ARMOIkiH97tzXHJ6uu+46FYkqdqJ9fUQ0B81PjjnciXe99dY1b82anBN3KSLamKcfceLSCmnW+D/vd2c41y784+/ca/Ze2P6lF550wmuuMHu/EjHrlJN/6cSnlU1tfFH3laRr0yhFRLPPCPPtt9vGyfc5Z/+25HzbeNino+3o2+cKM23qOHjQmo765L2kHuEAHIjKAUS07nnRtt56a/P555/nuGBRBJFCYs6CBQty4hw3rntqkjChImwBulmzZjn2Wlh4xWW3QqJM2LPea+qhp6mKOjs7bXTuPgoGNnDUsKUKUzZ+7/7MM88MxUWLDnz66afeoBUdl5rXqBgUqq8oCwvY4Zzeeix0nI/jAue0004LxTIsPkS0iuiU3YeffLLbAfeS6lvf+lZBQH7wgx/kEHPgwIEFn6nnTUQ0jC1rbElAE7fLEYQUhybWt13lNTxU15oXzTN77dnbiVcrndmhjDbNUkS0Hx92kBOPd3XMIbff7FxbY43VzfvvTi8qBNieWEcfdZgbthIxS1gJM4lyCz+Z48Zpy1doX0m6Nl6JaEpfQ13ttSj716f913luww3XL+m5KHEThjYFDsABOAAH4ED8OZBWEU0LCDz77LPmvPPOM5tvvrlj73h9N3u8wQYbGM2dpfnSwraw0Ud6VpOs203zYtv4vHvZw8HhoXpGk/Z7w3mPZ8+ebaN192+//Xbe8N4FAAqJMn379jXrr79+TjzrrruuOfTQQ83DDz/sphc8iIKBfSZq2ClTvljMzFt+HWsUV7FN4uTXvva1nPLoeS06UM2t1LxGxUCYB8uuc4lwmvC/2FYtjtt0HnzwQbPFFlu4fpw3b6uvvro56qijzD333BMpbzbOYnvmRCuGUIrua6lcL6l0LGW30Na7d7eA4H1OCw7EZUNEi7+RUy9D1K5+udJKKxmJW4XSffqJEeaaq//ihtFQQfvhuOySC9zriuPjj2abbb6zlfPu7Lrrzu5QTN2LKqLZ1S1XXHFFM/21l934W5rmG620qfdLiwzYxQLC8j7o1hudcF/5yld85atEzGr6/D3zrc2+6cT7y18cW1DM+uzjOeaCP5xjtECB8ldJurZ8VkTTfG32WpS9RDdrgAjDKM8QhrYCDsABOAAH4EB6OJBWES3oY7W1tTkrDb744otGPcc0siis51nwuSSdFxLR1LOpq6vLTJ8+3WjOs1GjRpl58+YlqXi+vF588cWO3e31rXUs+/69997zhc3KSbU4rqmrJkyYYDRqbtKkSUYrc9ZqQ0SrFbIxjHfQoEE5L62c+nzdLpctW2YkSARf8r/85S+xKR0iWnqMoUoNWy0IYOf4ksBy9T/65ohCGpL5s+OOdjgt0UppauXNXr26l8o++dcnhAoyc2a/atTrSe/CYYf+yBW7rIj2jW983dw+6Can55q3HJr7TEMObQ+3v/S9LCf+CS+PcVfp0WqZXpFNcWketDPPOMV9Dy+/9I++OCoVs0Y9dr8bt/ALpq+VRCUCakirym8FykrTVdm+uUn3Ag5asMDiprnjVCfD7x9iDj5of/PwiLt89ShR8+yzurtuS9S0z7GnLYADcAAOwAE4kB0OZEVEi43TVcOMFBPRaph0XaNevHix6dWrl2t3e33sE088sa55IbHKEEBEqwy/RD09cuTI0Jf2sssuCy3HueeeGxr+P//5T2j4RlxERMuOsRTFMFYvqX323sPl7Wqr9TR77L6bs+CAhC77sdJiAf8ZeL2Z89YrZoMNupdHPvSQA11xLCytV6a8YOzKmFZssyKajVf3d999V6PhljvssK3bW0rdm/900e/zxi/BaO2113LyJ8FN86Zp0YGdd97BSOhW/Lr++/PONMGeV9UQswbefK1ZeeVuwVzpaAVPiYUqw1e/+lUXNw1ttUNaq5Hur37ZvTrRKqusbDTcdccdt3PKqTpT/Vhc11prTace991nTzc/ypfmmQurK67RLsABOAAH4AAcSDcHENEa4XnVJs2siGj/+Ef3NCrWvrV72d7qaceWHAQQ0ZJTVxXnNN84dr24f/rTn5xVNzUpo7pB5hPQ9LKzsEC6jZKkG53qkfbPfn3M5t/a1BVh7EdKQtpZZ55qPpg30xFfdtppeyfMLrvs5BummQ+DMaMfdUWt/jde7Q7nVLw/P/4nOT03NUT0+9/fyei5fHHa6/Pfm+HEYcU0m2eJaMrfs8+MDI1DPdkUVqKXjSts/+mCtx2BauuttggNp5UutbqpBEabtva2DOoR5o23Gumq15lX9FR6mp/tz1f8yagH3K233OAOpfXmSWLbc2PC8fDmkeP0t1VyosaMhgtwPf1cp46pYzjg5wAiWsWuYWwiyIKIpiGL663X/ce916bV8Y9//OPY1AUZiYYAIlo0nFIRSi9vz549fQ5y8CVeYYUVit7/5JNPYoMHPdH8BgUGlh8PzeMlsWXss4+ZUufdioKl7YkmIUjhJfxIjHpy1HAzcfyYnF5jUeJUGPWoUxzq/VZonrSo8ZUSTiLkzOnjjYZ5amhnqZP+l5KWDSvMlJ6Gzdpr3v1HH7xpXhg7yox+8iHzzpzXQsN4w3Psfw/SjAciWnbqOs08pmzwGA6UzgFEtNi4YxVnJAsimhbmC/rd9ty7UmnFYBJBXRBARKsLzPFJ5Gc/6x4+ZV/aUvf77bdffApjjEFEK93owFCrHmZBEQ1sq4ctWIJlFA4gosGTKDwhDDyBA+njACJarFyyijKTdhFNI73yrbS6xx57VIQdDzcGAUS0xuDesFQ1pFPzM5UqntnwWhUlThsiWvqMoiQZuoho8C9JfE1jXhHReAfTyGvKBK/hQHEOIKLFySOrLC9pF9HuvffevL63VlxlSx4CiGjJq7OKc1xovjMrloXtTzrppIrTrnYEiGjFjQwMsdphhIhWO2zhLdhG4QAiGjyJwhPCwBM4kD4OIKJV26tqXHzq5HH44Yfn/I466iizdOnSxmWsSilfd911OWVTeU8++eQqpUA09UYAEa3eiMcgvY6ODqMPT5hQlu/aMcccY9rb22OQe38WENHSZxQlydBFRIN/SeJrGvM6oP+1ZtrUccyT18q7mEZ+UyZ4DQfycwARze8TcQYCIFA/BBDR6od17FJ66KGHzI477lhQTNtuu+3M8OHDTVdXV+zyrwwhouU3LjC8ao8NIlrtMYbHYAwH4AAcgANwAA4EOYCIFkvXjEyBQCYQQETLRDUXLuTjjz9uLrroInPkkUeanXfe2RxxxBHmwgsvNI8++mjhB2NwFxENoypoVNXzHBEN/tWTb6QF3+AAHIADcAAOdHMAES0GjhhZAIGMIoCIltGKT0uxEdEwJhtpTC78ZI4ZfFt/8/QTIxhOxnAyOAAH4AAcgANwAA7UiQOIaGnx5igHCCQPAUS05NUZOfYggIiGiNZIEY204R8caCwH5s+bicNaJ4cVrjeW6+AP/nDAzwFENI9DxCEIgEBdEUBEqyvcJFZtBBDR/AYFBhZ4wAE4kCUOyIkaM3okQhpCGhyAA3AgYxxARKu2V0V8IAACURFARIuKVALDaRXOtrY2N+fNzc3mN7/5jTnttNMq+r3zzjtunI0+QERDMMiSYEBZ4Tsc8HMAEc2PB/wADzgAB7LCAUS0RnthpA8C2UUAES2ldX/NNdeYDTbYwPTo0cMcd9xx5oMPPnB+yy23XMHVOKPcnzRpUmxQQ0TDWMyKsUg54TocyOUAIlouJvAETOAAHMgCBxDRYuOOkREQyBwCiGgprPI33njDfOlLX/KJZVptU0JaFJGsWBhENIyzLBhnlBGew4H4cwARLf51xHtEHcEBOFALDiCipdCJpUggkBAEENESUlGlZPOqq67KEcs23XRTRLSMzRVRC4OFODGE4QAciBMHENHgY5z4SF7gIxyoHwcQ0UrxDgkLAiBQTQQQ0aqJZkzievHFF3NEtAMOOAARDRGNSXfhAByAA6niwID+15ppU8elqkw44fVzwsEarOFAcjmAiBYTx5NsgEAGEUBES2mlH3/88Wb55Zd3xLRevXqZCRMmIKLhPONowgE4AAfgAByAA3AADsCBxHMAES2lTizFAoEEIICIloBKKjeL7777rnn66aeNVuXUtnDhQvO9733P7LzzzhX9WJ0zuf/a8Y8rdQcH4AAcgANwAA7AATiQdA4gopXrIfIcCIBApQggolWKIM83FAFW58QITLoRSP7hMByAA3AADsABOAAHSuMAIlpDXTASB4FMI4CIlunqT37hEdFKMzgw0MALDsCBNHFg/ryZiR+SlKb6oCy0L3AADtSLA4hoyffjKAEIJBUBRLSk1lwZ+V62bJmZOnWq77dgwYK8MfXt29foA+X9aW61OG2IaBhr9TLWSAeuwYH4cUDfpzGjRyKkMb8THIADcCBjHEBEi5NHRl5AIFsIIKJlqL7nz5+fs2rn1VdfnReBiy66KCf8qaeemjd8I24gosXPqUVooE7gAByoFwcQ0eBavbhGOnANDsSLA4hojfC8SBMEQEAIIKJliAcffPBBjihWSETTwgR2hc/lllvOeXattdYy6tEWlw0RLV4GDQYm9QEH4EA9OYCIBt/qyTfSgm9wID4cQESLizdGPkAgewggomWozksV0QTN1ltvnSO8zZgxIzaoIaLFx5jBsKQu4AAcqDcHENHgXL05R3pwDg7EgwOIaLFxx8gICGQOAUS0DFV5OSJa7969c0S0kSNHxgY1RLR4GDIYlNQDHIADjeAAIhq8awTvSBPewYHGcwARLTbuGBkBgcwhgIiWoSovVURbtGiRWWmllXJEtBtuuCE2qCGiNd6IwZCkDuAAHGgUB+67d6iZNnUcE4pnbELxRvGNdGnr4EB8OICIFht3jIyAQOYQQERLaZV/8skn5i9/+YvvF7ZQwEEHHeQLo2f69OljzjvvPLPRRhvlCGiaG01h4rIhosXHmMGwpC7gAByAA3AADsABOAAH6sEBRLS4eGPkAwSyhwAiWkrr/L333jM9evQIFcHsIgHl7ocNGxYb1KyINuzOQWbM6JHub/68mb6eCTr33rfHtQ6nHhI2Le8+mG6+cEEjpFHhvHm3x2G9P+w9777a4YLYUbfdvC+XK966ssfVrrOo8VG34e0FdftF2245Wi5XxEUbh3cfjC9fuHLrotrxefNuj6O+Z9UOF8RO5zZP3n2tw+XDOJhuvnDUbfXes2pzIF+dUbe5dRb1/Q5iV+06ixpfJXWLiBYbd4yMgEDmEEBES3GVjxo1yqy44opVF9LGjx8fG9RmzZpl9BEN/jTEx2sQ6yMdDKPzqOHkCHjj03lYfEHjRfFXEi5o5Azof21ofN686bhvnyvKDnfuuWf7yqr4dC1YDqURTDcYRudRw6ls3vhU9rD4otZZ1HDULXXLe5vbhvLehrfdtMm5XIna1kYNR5tMm0ybnPue0SaHt8lDhw6NjU9CRkAABLKDACJayuv66aefDp3XrNxeaOuss45pbm6ODWq2J1rQ4PKKMRwzrAAOwAE4kE4OqO0PClvUdTrrmnqlXuEAHPByQH+0Dh8+PDY+CRkBARDIDgKIaBmo6zFjxpiVV165Kj3Sbr311lghhoiGQeU1qDiGD3AgWxyQExXsuQQHssUB6pv6hgPZ5AAiWqxcMjIDAplCABEtI9U9duxYs8oqq5QtpC2//PLOYgNdXV2xQgwRLZuGEwYz9Q4H4IA4gIgGD2gL4AAcyCYHENFi5ZKRGRDIFAKIaBmq7hdffNH07NnTJ6R9+ctfNhqiGfbbdNNNzQEHHGDOOussM3Xq1FgihYiWTcMJg5l6hwNwQBxARIMHtAVwAA5kkwOIaLF0zcgUCGQCAUS0TFTzF4V8+eWXTa9evVwh7eqrr/7iZgKPENGyaThhMFPvcAAOiAOIaPCAtgAOwIFscgARLYGOG1kGgZQggIiWkoospRgTJ040q6++uiOkIaJl0/DA4KTe4QAcSAMHENHgcRp4TBngMRwonQOIaKV4f4QFARCoJgKIaNVEM0FxTZkyxfzqV78ymiut0LZgwQKz1VZbub/+/fsXCl73e/REK93owFADMzgAB9LCAS0qwOqc8DktfKYccBkOROcAIlrd3S4SBAEQ+B8CiGhQoSgCa6+9tjv8c/vtty8avp4BENGiGxsYZmAFB+AAHIADcAAOwAE4kAYOIKLV0+MiLRAAAS8CiGheNDJ0vGzZMjNp0iQzYMAAc+WVV4b+LrnkEnP88ce7Atpyyy3nHL/99tuxQQoRDUMwDYYgZYDHcAAOwAE4AAfgAByIzgFEtNi4Y2QEBDKHACJa5qrcmLlz55ptt902RxyzIlmx/WOPPRYb1BDRohsbGGZgBQfgAByAA3AADsABOJAGDiCixcYdIyMgkDkEENEyVuUSndZZZ52yBTQJbOq9FpcNEQ1DMA2GIGWAx3CgPA4wJ1p5uME3cIMDcCDpHEBEi4s3Rj5AIHsIIKJlrM4vu+yyigQ0iWh9+vSJDWqIaBiBSTcCyT8chgPlc0BOlIQ0MCwfQ7ADOzgAB5LIAUS02LhjZAQEMocAIlqGqry9vd2sueaaFYtoN910U2xQQ0TD8Eui4Uee4S0cqA4HENGqgyN8BEc4AAeSxgFEtNi4Y2QEBDKHACJahqp89uzZFQtoq6++upk3b15sUENEw+hLmtFHfuEsHKgeBxDRqoclvARLOAAHksQBRLTYuGNkBAQyhwAiWoaq/Lnnnoskoq2wwgpm4403dn5rrLGG75k4rcypqkNEw+BLksFHXuErHKguBxDRqosn/ARPOAAHksIBRLQMObEUFQRihgAiWswqpJbZufPOO32CmOY3u+iii8y7775rDj74YPfeOeec42ajra3NbLnllu69Sy65xL0XhwNENIy9pBh75BOuwoHqcwARrfqYwlMwhQNwIAkcQESLgydGHkAgmwggomWo3gcPHuyKYRLQNDSzq6vLQWDYsGHuvVVWWcV8+OGHLjJe8a1Hjx6mtbXVvdfoA0Q0DL0kGHrkEZ7CgdpwgNU5a4MrfAVXOAAH4s4BRLRGe2GkDwLZRQARLUN1P3LkSFcok4i22WabuaVfvHixkUCm6/ode+yxrsA2dOhQ97ruTZkyxX2u0QeIaBh5cTfyyB8chQNwAA7AATgAB+BAdTmAiNZoL4z0QSC7CCCiZajuJ06c6BPDVl55ZV/pDznkEN/9vffe25x88slOjzUrrmmvnmlx2RDRqmuQYOCBJxyAA3AADsABOAAH4EDcOYCIFhdvjHyAQPYQQETLUJ1//vnnRosGeAWxyZMnuwh4h216wwSPr7rqKveZRh8gomHkxd3II39wFA7AATgAB+AAHIAD1eUAIlqjvTDSB4HsIoCIlrG67927t09EO+uss1wEmpqaTM+ePX33gwKazu+++273mUYfIKJV1yDBwANPOAAHksQB5kSDr0niK3mFr3CgehxARGu0F0b6IJBdBBDRMlb3ffv29YlkX/nKV8z48eNdFM4++2zf/TARbc6cOW74Rh8golXPGMGwA0s4AAeSxgE5URLSkpZv8su7BgfgAByojAOIaI32wkgfBLKLACJaxup+wYIFZtVVV/UJZVpgQAsLaFu4cKGz4ECYeKZrG2ywQawQQ0SrzADBgAM/OAAHkswBRDT4m2T+knf4CwfK5wAiWqxcMjIDAplCABEtU9XdXdg///nPPhFN4thJJ53kIvHqq6+alVZaKSfMWmutZV555RU3XBwOENHKNz4w3MAODsCBpHMAEQ0OJ53D5B8Ow4HyOICIFgdPjDyAQDYRQETLYL23tLSYsWPH+n5vvPGGD4kPP/zQ3HLLLeawww4z++yzj7n44ovNzJkzfWHicIKIVp7hgcEGbnAADqSBA4ho8DgNPKYM8BgOlM4BRLQ4eGLkAQSyiQAiWjbrPTWlRkQr3ejAUAMzOAAH0sIBRDS4nBYuUw64DAdK4wAiWmrcOQoCAolDABEtcVVGhr0IIKKVZnBgoIEXHIADaeLAtKnjzPx5M1lYoBVep4nXlAU+w4HiHEBE83pEHIMACNQTAUS0eqIdw7Q+++wz89xzz5mBAweaG264IdJPixPEZUNEK25kYIjFH6PJE58zkyY8ixCAEAAH4AAcgANwAA7AgQgcQESLizdGPkAgewggomWvzk1HR4e58MILzfrrr5+zeEC+VTm91ydNmhQb1BDR4i8QIeIVr6OVV17J9OjRA6M5gtEMn4rzCYzACA7AATgAB9LOAUS02LhjZAQEMocAIlrGqlw9z/bff/+yxDMrpCGiYZil3TCrd/kQ0Xin6s050oNzcAAOwAE4kGQOIKJlzImluCAQIwQQ0WJUGfXIytFHH12RgCYhDRENoyvJRlcc877Xnr3N7rvvSk80eqLBgRI5cN+9Q5kTrUTM4tgGpi1PO+ywrVlrrTV5n+EmHKghBxDR6uE5kgYIgEAYAohoYaik9NpHH31kVlhhBUS0Gn7Q0+YIUB4EUzgAB+LMATlRY0aPxFHluxYrDmy91RZGPYzj/O6QN9r2pHMAES2lDivFAoEEIICIloBKqlYWn3zyyYoFNHqiYXQl3egi/3AYDqSHA4ho6anLNL2XiGjwMk18jmtZENGq5SESDwiAQKkIIKKViliCww8ePLigiPalL33JrLzyymaVVVYp+Js1a1ZsUGBhAQzVuBp35AtuwoHacwARrfYYw+PSMUZEKx0zeAZmpXIAES027hgZAYHMIYCIlqEqv+uuu0JFtBNOOMG8/vrrpr29PXFoIKJhdJVqdDUi/NKWj0zbkg8bOrSntfmDktMv55lG4Eua2W0HENGyW/dxfu8R0eBlnPmZlrwhoiXObSPDIJAaBBDRUlOVxQsyduzYHBFtm222MV1dXcUfjmkIRDQM1bgagxKgrr+2n9lu2++YFVdc0Xz1q18123xnK/OH8882c9+e5hO0Djn4APOjA3/ou+Yt13NjRporLrvQnPDzn5q999rd7LH7bjm/WwZe5zx/8Z/Od+7NnD7efPTBm6bvny8x++y9h5OH1VbraX7wg+87+ZKw503DHr8+7b/m6KMOM+uv/w2nvVh33XXMgQfsax58YKjJ94x9lj3vY705gIgG5+rNuSjplSKiHfvTI502W9+GKHHPeesVc8D++zjP3D7opkjPRInXhnns0XuduPWtmTJpbKT4+/3tSucZfStamuZHesamx553uFwOIKLF1DkjWyCQAQQQ0TJQybaIS5YsMauuuqpPSNtuu+3s7UTuEdEwvso1vmr5nJyIH+67p/uu9ey5qvnGN77unvfo0cN8uuBt19HQBNS6FszTe++8bo44/GD3uS9/+cvuseYn1G+cAiA7AAAgAElEQVSjjTZwfnJi9PxBP9rPuT7qsfvNjjtu54aXkOd9fr8f7mWWLH7fl+bjI+8zX/nKV9xnNtl4I0f8s2ld+Mff+cIH88s572O9OTB/3kw4yaICseNAKSKa/iRZaaWVnHb39+edWbAs77873Xz7/77lhNWfKYsXvlswfDnvo/4AOurIQ5009CfKjNfHF0zjmqv/4oRdfvnlzfD7hxQMW05+eIbvSj4OIKIl0nUj0yCQCgQQ0VJRjdELcfrppzvGjnWKtZ8+fXr0CGIWEhEN4yqfcdXI69ap+L/NNzMjH7nXFatmvzHF/Oa0Xzmr5H7gcf7DRDQ5Mnvu8QPnfd1hh23NC2NHGV2TsKbeZnJYVl+9l1GPM29ZrYj2ta99zXn2lJN/aZ54/AEnD3K4br3lBtdh+/tfr3CflfC39tprOc9c8IdzzFuzJjv3JLTde/cgs+UW/2d++5uT3PDeNDnmPYQDcCBLHJj+2svm/ntvz/vTnyZqowuFmTzxObc9Ve8v+weGeh2HYamexerZLLtNf5B4/4gJC1/JteZF84z+aFFaG2+0oXn7zamheVIPaIXRnLq16BVXSRl4Nv1tEiJazJwysgMCGUIAES1Dla2iqjeaep/J6LG/HXfc0bz//vuJRAIRLf1GUhIN4X336e6F9vQTI0IdDwlh3qGRYSLa3cNuc95R9ToI623Q/8arnfu7776rLw0roun9vuySC3z3LJZDbr/ZeXbVVVdxhDldf/aZkc419W6w4bx7zek2/70Zofe84TjmnYQDcCDtHLjowvOc9tLaUeXsNTzfi9M9dw1yewtf/Y++vnsLP5ljdtllJyfNrbb8tvH+CeONo5rHn3861+y6685OmvpDSN8tb/x33Xmrm98bruvnu+cNxzHtQa04gIiWSNeNTINAKhBAREtFNZZWiHfeecess846PgNw/fXXN7fddpsZNmxY0d9nn31WWoI1DI2IhnFWK+OskngPPeRA5/26c8gtkRyLMBHt1FNOdOIo9O++BDYN0fz4o9luOlZE0/P5yqAebRtuuL4Tv3pUKNz4/z7jnG/x7c3zPpcvPq7zHsIBOJAlDmgI5lV9Ls37W2ON1Z3eWYXCqJdyEDPbs0ui3M0D/u3cb/r8PWdeS1375iYb58ypGYyjmufq/bbtd7d2vg3f3WYrZ55Nxf/IQ3e7PedUxmqmSVy0JVE5gIhWQweLqEEABAoigIhWEJ503mxtbTWHHHKIYxSV8+/ppEmTYgMMIhrGVlRjq57hBt/W33m/NAxmzOhHizoYYSKaJmjW+6lhnPny/uPDDnLCjH32MTeMFdHGvfiUey3seRv/wyPucsNttukmTnxnnnGKUS+EsOe4xjsXJw4M6H+tmTZ1HFxlXrRYcaCUOdGC79M/+/Vx2mENkdS3xP4poyGis2ZMqHs51QNt829t6uTpe9/b0Tz04DBnoRp9nzT0P5h/zvlG1IsDiGixccfICAhkDgFEtIxVeXNzs9l2220dY6gcAU3PIKJhINXLQEpqOp99PMc3qb+GSN53z2CjIZFhZQoT0U7+9QnOeyonKuwZXfvO1ls686spPRsmqoh28km/cOIfesdA91mltcIKKzjXNd/a+b8/K+9cODY99rQHjeSAnKgxo0e6HG5kXkibd8FyoBIRTXFccvEffHbammuuYaZOfr5inqvnsdr8fD+tzmzL4N1rjswNNljPl6fTTv1VaFjvcxzzTtSSA4hoGXNiKS4IxAgBRLQYVUY9snLqqaf6jKByhDRENIyiWhpFaYlbQ3D+cP7ZRvOO2ffsW5t902jem2AZw0Q0DQXVcxpeqbiCz8gJ0v3evXfx3Ysqop11Zndb4BXRlIbmRrNz7yh+iWq/+PlPzYfvz/KlE8wP57QLjeAAIhq8awTviqVZqYimOTM3/ebG7rfDrr5cLN1i9zX00n6PwvZXXn5R3nbezqWp5zRcNbi6c7G0uc+7Wm0OIKLVw3MkDRAAgTAEENHCUEnptUWLFrld8MOMp6jXENEwhKptCKU5vgUfvuXMm7Peeuu6zsufLvq9z1EJE9HkRGnojN5LCWV27jKtonn9tf3cFTbtvDkWw0pFNBvPM089bA45+AA3z5tsvJGZ8bp/JVAblj1tQqM4gIgG9xrFvULpViqiqRew1ybr2XNVM2nCs77vRqH0893T9AL6cyffT+1+2LMaRvr1r6/ty9OJJxwXGjbsea7xntaCA4hoKXVYKRYIJAABRLQEVFK1svjEE0/4DCCvgVbKMSIaxlAtjKG0x6l/7dULYPnll3d+3p5dYSKa8JAAt8/ee7jv7SqrrGy++tWvOucrrriiMyQniFu1RDQb75RJY832223jpHnO2b/FaWLuqVhxABGN75Ftq+K0r0RE+/e//uq0t1o05oH77jA/OeZw51x/xGhYZb3LqZVA7Zxo+kNnzNOPuH/iaJXSeueH9HjnLQcQ0arlIRIPCIBAqQggopWKWILD33777Y4hVopgFhZ2+vTpsUGBhQUwpqwxlZT9ccce5byH3h5k+UQ0lUm9v3bccTvnGU00/f3v72T6XHmxmf3GlFDnpdoimvKgeXLUFmhFz6TgTD6z0TYgomWjnpP2Ppcrot097DZnVU+1twNuusZpb5sXzTN77dnbaYM1vN/7B0ytcVn02Ttuj2iVSat1Kk0tSKM/hJTPG67rx3eBP1cawgFEtNi4Y2QEBDKHACJahqr8/vvvdwyeoDB26KGHGglsEseWLl1q2tvbC/7iBBkiGg5UrZ2Iasff98+XOO+hd0hnPhHticcfMLq30UYbmP43/NNolbRi+amFiKYFEb72ta85+dZw0mJ54D7vZb04MH/eTPiIAx87DpQjomkoZY8ePZx29rJLLvCV6eOPZpttvrOVc2/XXXc2ErfsO6bewprLTH+uVHOestbmD9wh/VpUYM5br7hpKu1bBl7n5Ed/7mjhHJsf9rT/9eIAIlqcPDLyAgLZQgARLUP1PWfOHMfg8YpoW265peno6EgsCohoGGv1MtZKSUdC1uWX/tHMfXuaz7F46YUnzTrrdM8r8/jI+9x7+UQ0OydZcPL/QnkpV0Qbfv8Qc/BB+zs9DLyriMp5O/us01znrVDa3ON9hANwAA4scFY11jxiUbHQypu9eq3mtLNamTnsuTmzX3V6A8uGO+zQHxmJXAqnHmvWrtMUAGHPlnPNruCsfOVbGVTindKW+Kf51spJh2doM8rlACJaYt03Mg4CiUcAES3xVVhaAdZcc03X2JLhs//++5cWQcxCI6JhfJVrfNXyuY032tB5zzTcRT0SDj3kQPPNTb5YaU1ilVeoyieinXH6KU48O+ywrbl90E3m5XGjjRypQr3ByhXR/jPwerdtWGutNc0eu+9m9t1nT3cONs3FprlwaokbcfM+wwE4kDUOqIeXenrJJtO3wopjYTi8MuUFs/rqvZywVmyrhYimP4FccaxIu3/qKSc6YQuJbWFl4RrveqUcQESLmVNGdkAgQwggomWoslXUk046yTF2ZBzp16tXL/PJJ58kFgVENIywSo2wWjz/2qvjjP7F1+T/9l3TXueaiNk7FEfpr7ZaT2fYZjAvCvfTnxzhi0PxSJz71mbfNBLM7rrzVqOVPO2z6qGgMBNeHuNes/e8+9+de7oTTnPw6LqGAd16yw3ukCFvvjUn23NjRhaMzxs3x7yXcAAOwIFoHNhpp+2dtniXXXbK+TaEYageX/bb0v/Gq433D5DPP51bcTv90IPDnPxomOa9dw8qGp/+ELLfHU09UOhPnrDycC0aT8ApFydEtMS6b2QcBBKPACJa4quwtAI0NTWZb3/7246BZJ3kfffd1yxevLi0iGISGhEt16jA0IoPJupRoIUBRj12v5k88TnT9Pl7RR0SW3/vzHnNEeK0Qpve1bXXXstsucX/me22/Y4zR5q9rntHHXlo5Hht/IX2mjz6hbGjzOgnHzLKR6Gw3IsP37JYFwP6X2umTR0HR5kXLbMckIilXmD6ZbENoMzZ/QYhosXEGSMbIJBBBBDRMlTpbW1tZtSoUaZfv34+EU1O+FZbbWVGjBjh3FeYQr9FixbFBjVEtOwaT2k2nBd+MsedH+fCP/7OzJw+Psc5mv/eDPOXvpcZK6ZJ8EozJpSNdz2MA3Kixoyml2QYNlzLxjvz35eedmw69X6mzrNR59Rzdz0josXGHSMjIJA5BBDRMlTlH3zwQY54ZnujlbKfNGlSbFBDRMNgTKMxqWGVeif/eMG5RZ2iM8/onjftn/36FA2bRqwoU7bbAES0bNc/7/8CM/Dma82qq65iXp36It8AemRmigOIaLFxx8gICGQOAUS0DFU5IhrOBg5HMjhw+m9/7Yhotwy8rqhBLKFNgts//v7nomGp/2TUP/UUvZ4Q0aJjBa/SidWTo4abp58YQfuPgJY5DiCiZciJpaggEDMEENFiViG1zA4iWjoNaByj9NXrHYMHOMLY9tttYz6YNzOvYfzMUw87ixKssMIKZvx/n8kbDo6kjyPUaXedIqLBbd4FOAAHsskBRLRaeo3EDQIgUAgBRLRC6KTsHiJaNo0MjMvk1btW5dx7r90dIW311XuZE37+U3PtNX8ztw+6yVmJTXOh7bH7bs599UK78fp/IKDRCyGTHEBES177xjeJOoMDcKAaHEBES5mjSnFAIEEIIKIlqLIqzSoiGkZLNYwW4qgPjySkXXTheWbNNddwxbLg3IXf//5OZsjtN2dSPIGH9eEhOIMzHIADcAAOxJEDiGiVeoY8DwIgUC4CiGjlIpfA5z788MO8znjQOS90Pm3atNiUnoUFMOziaNhVM09LWz4y01972Tz4wFCjYZ733TPYvPT8E2bu29MQz+h9BgfgAByAA3AADmSSA4hosXHHyAgIZA4BRLSMVflHH31kJKZV8osTZIhoiGjVFKyICz7BATgAB+AAHIADcCD+HEBEi5NHRl5AIFsIIKJlq75TV1pEtPgbORii1BEcgANwAA7AATgAB+BANTmAiJY6t44CgUBiEEBES0xV1S6jL7zwgunfv7+5+OKLzUknnWT0UZo7d65pamoyEyZMcH+zZs2qXSbKjBkRDYOsmgYZccEnOJAsDvTtc4WZNnVcJocywdVkcZX6or7gQHU5gIhWpvPEYyAAAhUjgIhWMYTJjeCmm24yW265Zeg8aZMnTzZPPfWU795qq61mWlpaYlVgRLTqGiQYeOAJB+BAkjggJ2rM6JGIaMwJBQfgABzIGAcQ0WLlkpEZEMgUAohomaru7sI2NzebY445xieQBRcSkIjW0dFh1l13XV+4O+64I1aIIaLh8CfJ4Sev8BUOVJcDiGjVxRN+giccgANJ4QAiWqxcMjIDAplCABEtU9XdXdhiApoENYlo2s477zyfiLbHHnvECjFENIy9pBh75BOuwoHqcwARrfqYwlMwhQNwIAkcQESLlUtGZkAgUwggomWquo25//77faJYsAeaPbci2sSJE33hv/SlL5nFixfHBjVENAy9JBh65BGewoHacAARrTa4wldwhQNwIO4cQESLjTtGRkAgcwggomWsynv37u0TxaxoFtxbEW3p0qXmy1/+su+ZsWPHxgY1RDSMvLgbeeQPjsKB2nHg3HPPZk60jM2DxPtUu/cJbME2SRxARIuNO0ZGQCBzCCCiZajK58+fb9STLCiY7bfffuass87yXbcimuDZaKONfPcGDRoUG9QQ0TD4kmTwkVf4CgfgAByAA3AADsCByjmAiBYbd4yMgEDmEEBEy1CVjx492ieGSUy78cYbHQRmzJjhu+cV0XbbbTffvWuvvTY2qCGiVW6EYMiBIRyAA3AADsABOAAH4ECSOICIFht3jIyAQOYQQETLUJVrZU1vL7TNN9/cLX0hEU3hvM/17dvXfa7RB4hoGHxJMvjIK3yFA3AADsABOAAH4EDlHEBEa7QXRvogkF0EENEyVPdDhgzxiWGaH81u+US0mTNn5syJ1q9fP/tYw/eIaJUbIRhyYAgH4AAcgANwAA7AATiQJA4gojXcDSMDIJBZBBDRMlT1Tz/9tE9EW2211czChQsdBMJEtM7OTnPYYYf5nlGPtKFDh8YGNUQ0DL4kGXzkFb7CgepygIUFqosn/ARPOAAHksIBRLTYuGNkBAQyhwAiWoaq/PXXX88RxA499FBHSAuKaBLc9HHyDuO0x88880xsUENEw9hLirFHPuEqHKg+B/SdGjN6pAHb6mMLpmAKB+BAnDmAiBYbd4yMgEDmEEBEy1CVt7e3mzXWWCNHGFtrrbXMLrvsknPdimbefY8ePcznn38eG9QQ0TDw4mzgkTf4CQdqywFEtNriC3/BFw7AgbhyABEtNu4YGQGBzCGAiJaxKj/11FMjiWVe4cx7fPTRR8cKMUQ0jLu4GnfkC27CgdpzABGt9hjDYzCGA3AgjhxARIuVS0ZmQCBTCCCiZaq6jRk/fnzOQgFekazY8ejRo2OFGCIahl0cDTvyBC/hQH04gIhWH5zhMzjDATgQNw4gosXKJSMzIJApBBDRMlXd3YW94IILyuqNduaZZ8YOLUQ0jLq4GXXkB07CgfpxgIUF6oc1vAZrOAAH4sQBRLTYuWVkCAQygwAiWmaq+ouCLl26NHTVzUK90A4++GDT2tr6RSQxObIi2k03XWfuu3eo+5s2dZxvoun582a698oJp+e9hkO++ILhlA9vevY4ajhvmjrWBNo2Du++1uG8adnjsMm87T3vvtrhqNvqcsBbV/a42nUWNT7qlrqNyoFgG0qbPDR0gQX7Tnv3Ud/HqOGi1lnUcNTtF7aMrbeodVHtcFHrLGo46pa6DXJA3LE89+6jhENEi4kzRjZAIIMIIKJlsNJV5K6uLvO3v/3N9OzZs2CvtNVWW80Jp/Bx3GbNmuWsIqoPqfenD7FXWNJH2nvfHkcNFzRMdW7j8O6DhqTi9963x1HDBY2IAf2vDY3PW1Yd9+1zRdnh1LMjGJ+u2bzbvdIIhrP3vPuo4VQ2b3wquzceexy1zqKGo26p26jvY9RwvLf+9ljvbtT3MWo43lve26jvY9RwvLe8t14bRMfYUtHb7ka1yUOHDo2je0KeQAAEUo4AIlrKK7hY8ZYsWWIGDx5stODAgQceaHbaaSdz0EEHmdNOO80MGTLEtLS0FIuiofdtT7SgkRw0hDhnCAIcgANwAA7AATgAB+AAHPh/9s4DWooi/eIqKkpSFIwEFROYw5ow55zTGte4a84RM6hrllURc0LMGDHjExNKEsUAiqKCCLhmXXf3f9b6n1ueGnvm9cz0zPTMVHf/3jlzZl53ha/ud7vmqzsV0sEB/UAzbNiwpo5DqBwEQCCbCCCiZdPvqWk1Ilo6AiECWvwIB+AAHIADcAAOwAE4EJUDiGipGc7REBBIHAKIaIlzWXwGa4nml19+aV577TXzwAMPmKFDh0Z6ffvtt/EZUWNJiGgEW1GDLdLBFTiQPg5wsED6fMpzik/hAByIwgFEtBoHUWQHARCoGgFEtKqhS25GLdHUfmidO3cuuR9asYMGxo0b503jEdEItKIEWqSBJ3AgnRzQIKpwLx58nU5f41f8CgfgQJADiGjeDMcwBAQyhwAiWsZc/vPPP5vll1++KvHMiWqIaAQxwSCGz/ABDsCBZnEAEQ3uNYt71Av34EBzOYCIlrFBLM0FAY8QQETzyBmNMOWoo46qSUCTkIaI1tyggaAN/OEAHIADv3MAEY1ngWcBDsCBbHIAEa0RI0fqAAEQCEMAES0MlZRe0yy0OeecExHt12wGGwSZ+B0OwIG0cQARDU6njdO0B07DgWgcQERL6YCVZoFAAhBAREuAk+IycezYsTULaMxEi/bFTgAETnAADsCB+nNgQP8LzMQJowxY1x9rMAZjOAAHfOIAIlpcI0TKAQEQqBQBRLRKEUtw+nvvvTcWEe2DDz7wBgUOFiCg8ymgwxb4CAfgAByAA3AADsCB+nMAEc2b4RiGgEDmEEBEy5DLH3744VARbddddzXDhg0zM2fONP/973/LvnyCDBGt/kEKgSAYwwE4AAfgAByAA3AADvjEAUQ0n0Zk2AIC2UIAES1D/p4yZUorEa13797mf//7X2JRQEQjoPMpoMMW+AgH4AAcgANwAA7AgfpzABEtscM3DAeBxCOAiJZ4F0ZvwG+//WY6duyYJ6SttdZa0QvwMCUiWv2DFAJBMIYDcAAOwAE4AAfgABzwiQOIaB4OzDAJBDKCACJaRhztmrn//vvniWg6KGDy5MnuduLeEdEI6HwK6LAFPsKBxnJAg6iWEcM5WIBTp+EAHIADGeMAIlrihm0YDAKpQQARLTWujNaQzz//3HTq1ClPSFtvvfXM7NmzoxXgWSpEtMYOWBEIwBsOwAGfOICIBh994iO2wEc40DgOIKJ5NijDHBDIEAKIaCl09g8//GCeffbZoq/TTz89T0TTbLRevXqZxx57rGieYHkq35c/RLTGBSsEhmANB+CAbxxARIOTvnESe+AkHGgMBxDRfBmNYQcIZA8BRLQU+nzMmDGtRDIJZXG9xo0b5w1qiGiNCVQICMEZDsABHzmAiAYvfeQlNsFLOFB/DiCieTMcwxAQyBwCiGgpdDkiWv2/uAmOwBgOwAE40HwOIKI13wc8B/gADsCBZnAAES2Fg1iaBAIJQQARLSGOqsRMRDSCmWYEM9QJ7+AAHGg0BwYPGmgmThjFhuIZ21C80TyjPvo2OOAfBxDRKhkdkhYEQCBOBBDR4kTTk7IQ0fz7oif4widwAA7AATgAB+AAHIADcCAeDiCieTLwxAwQyCACiGgpdDoiWjxfzgQ54AgH4AAcgANwAA7AATgAB/zjACJaCgexNAkEEoIAIlpCHFWJmWPHjo3tEIGwwwgmTpxYiTl1TcvBAv4FNQSa+AQOwAE4AAfgAByAA3CgnhxARKvrEIvCQQAESiCAiFYCnKTe+u2338zMmTPr9vIJF0Q0ArR6BmiUDb/ggN8cmDF9EvuhsR8aHIADcCCDHEBE82lEhi0gkC0EENGy5e/UtRYRze8BLgIE/oEDcKCeHNAgqmXEcAbQGRxA15NXlE2/BQf85wAiWuqGdTQIBBKDACJaYlxVu6H/93//ZyZMmJD3mj17dtGCBwwYYPQFFXxpvzWf/hDR/A9yCETxERyAA/XiACIa3KoXtygXbsEBvzmAiObTiAxbQCBbCCCiZcjfM2bMaLVX2lVXXVUUgbPOOqtV+iOPPLJo+mbcQETzO8AhAMU/cAAO1JMDiGjwq578omz4BQf85QAiWjNGXtQJAiAgBBDRMsSDr776qpUoVkpE++KLL0ybNm3y8nTp0sVoRpsvf4ho/gY3BJ74Bg7AgXpzABENjtWbY5QPx+CAnxxARPNlNIYdIJA9BBDRMuTzSkU0QbPSSivliWg6rfPDDz/0BjVEND8DGwJO/AIH4EAjOICIBs8awTPqgGdwwD8OIKJ5MxzDEBDIHAKIaBlyeTUi2oYbbthKRBs+fLg3qCGi+RfUJDXQHD92pBk35uWqNiivJW8pvOpVrup89JEh5sLzzzJTp7xTUZu/mf2pGfX6C+bzqe/l5YvT1lrLKmZjKay5l8y+ZPCggWbihFF5XMSXyfSlT377x7WXmUHXX1l3Xn096xPbD99z102x1VWub4+rTvXTt91yvRFWTz3xgJn11ceR2/DYsHvN4BuvMV98lv894hMHsMX/fgQRzZvhGIaAQOYQQETLkMsrFdF++OEH065du1Yi2vXXX+8Naoho/gc5SQlE27dvZ9q2bRt5EBBsVy15g+UUfq5Xuapn2V5L22e7UhHtztsH2XzHHXtkHlZx2lprWcVsLMSX/+k/4AAcEAd+/mG6fTk+9OzR3Sy/XK9cH/evn2aYn76flvvfpav1/a47brT96WGHHBBb2eX69lrrnPb5+2bnnbZrFRsusEAno763HCYPPXCnzdtrmaUqEt7Klcv97D3LiGjeDMcwBAQyhwAiWkpd/s9//tNccsklea+wgwK23377vDTK079/f3PyySebHj16tAqStJxTaXz5Q0TLXtBUr0C5FuGmlryl2lOvct8e94p9ttdaa/WyA55C+4oJVHHaWmtZxWwsbAv/03/AATjw43dfmM0329jstOO25j//mmX7xHXXXdtsuOF6uf5xvz/vadZbb23z7ddTc9fi4M7uu+1o++LHHx0aS7lR+vZa6vzh28/NCssva22WWHfZpRfY2WiHH3aQmWuuuez1GwddXbQt7707ynTs2MHMP//8Vc/8jgN3ykjHc4+I5stoDDtAIHsIIKKl1OfTpk2zs2okesX9Gjp0qDeoIaKlIxDyIaAtJdxo6cnLLw0vOjDYdJMNzUYbrV/0frXtK2VTtWUqn5Zxql/of2G/im0uJlDFiUGtZRWzsRbMyEtfAwfSyYEP3nvLLLJIV9snnnnGSbZP3G3XHcyee+xsP6ufVH+50EKdjUSquHgg8U59fIcO7WOb5Vaub6+1zlNOPtZiseUWm5jvv/ksD4sXnnvUHkal9kz95N28e8JMAmTvFZe3+TUbLi4cKSedz2UUvyKieTMcwxAQyBwCiGgpdvmzzz5r5ptvPhuwxCmkjR492hvUENGyGzxFCbAqSVNMsBrzVosVpDU4qaS8ONIWs6nWstdcY1XbL7zz9msVtykJAlUSbKzVh+T/ve+bMX1SxRwGO743Cjnw6ccTzJprrmb7xSF332yOPuowc8zRRxi39HCVlfuYyR+OiZVr2rtMsZkT6wptqub/cn17rXUut+wyNq4s3BPT2epEtttvvaEVVnvsvpNtr3B16XnnWayFA4ho3gzHMAQEMocAIlrKXf7iiy+G7mtWrai2yCKLmJ9//tkb1BDRCMBqCcCCeYsJVgOv+bsN/NMion3y0du2PRoMBdsf9XMSBKok2BgVb9KV7uM0iGoZUXyWKPiVxg98/sBHs691rFIAACAASURBVLT2328vKxJpyaPELe0Lq/fv/hnvMk7hfsjB+9m++O47B1fVFxf6LkrfXkudmnmm2HHttdcoau/TTz1o05x4wtF5af5+yQX2+gYbrGO0v1yh7fz/Bw/BIjoWiGjeDMcwBAQyhwAiWgZc3tLSYtq3b28DmGrFM5fvtttu8woxRLTowQaBWWmssiKiXXPVJbYv0IyBajiRBIEqCTZWgz15Wj/DiGitMYEn0TG59OLz7Sb5fz3yEHPBeWfaEyO32HyTXLykfdC0x9dFF5xtZ6bttecudh+wWjH+9y8zTZcuC5u5557bzJ45paq+uNCGcn17rXVK/Jp33nlNn94rFLXXzdzrd/apuTTPPzvM7pe22GKLtDrVubAN/B+du2A12yCieTUkwxgQyBQCiGgZcfcrr7xiOnTokAsMnSgW9b1Nmzb2sIHffvvNK8QQ0ZIfcGkjZwX35QLCX3/+qmyacmWUut8oES1KW52dxWxy96t532TjvrYfGNkSbfZOIe4+ClS12FiJP6rBmzz17aMQ0eqLb9r5u+8+u9v+sHPnBe1+XdqPcZ111srFSpp1pUMHdFKnO61cs9RqxeWlF56wdWhvsVrLcvnL9e1x1KnlonPOOad55eWnQ+3eYfutbbsefvAue1+z45xY2DLiqdA8zn7eeZYr5QAimldDMowBgUwhgIiWIXe//vrrplOnTrngUAKaTlPSEs2w1zLLLGO22WYbc9xxx5kJEyZ4iRQiWnKCrrGjW8zGG21g9Mu/AqUH77/D6MQzbegskVbLCy8ZcF7eBsvfzP7UnNPvNLP0Uj1t4N61axezzdabmzABSL98q/xJH4wuGagPuv5Km67lxSfz0jnBatTrL9j7KkuvpXr+fkptt25L5F0P7vmy4w7bmO223TKvPO2xo0GN9tZR2q232sz06NHNPnOdOnW0J78de8wRZsrk8Xn5gkGks0nXhj18j60/+At/MG3ws4RJ7T8j+7/47L1c+TO/nGyxXnTRrrlT6IL59FmClJaw7rrL9maZpXva/kIbamtgOeCic+wsDPUdxx17ZK5c5QtioHpUtzbndqfdFdYT/F8beyu98CgsK5jOfa7WRpdfHDnyiL8YnU6qmRXOH2efdUqrzbJdHt797GsQ0fz0S1KeFy3h/PmH6bm+7JnhDxkJavrOWanPivYkyUceujt3f9aMj8ysrz7O/V9tO48/7q+2b71u4OU1lyUbovTtcdR52y3XW7v1vfjWqBE523/58Utz6inH2Xs6vVO4/vT9NLv0U98XmiVXLVbk4xkvxgFENC+HZhgFAplAABEtE27+o5FvvfWWWXDBBW2go8Dmqquu+uNmAj8hoiUnuHr26Yct7yScXXl5/xwH55lnHissiY96SYxSQP7ZpxONNnN219u2bZv7LNFt8I3X5AXl22+3lb0vEaxYwKXrEn9UpjaPDqZzgpV+re/Zo3vu1bHj7zM4dT94/eorL87ld3mD5ekUN2e7e1dbNUBz/+tdAs4dt7XehFllBcud9vn7diaE2v7+xDdzdQfrdJ/vu/c2W4eEL3dN77fefJ29fvhhB+Vdd2nee3dU3iwM2Sd7JbYHbdbnQhEtaKvKc5t0Bwegrp7Cd4lnKlMine4VlhVMX4uNKueeu26yA2PXHvk3eADLsr2WNq+98mwoPkE7+OxH34OI5ocf0vA8XP73C21fd/ihB5qTTjzavrS3l/qK8889I9IPAlFxcD/OhJ1iGbWMYLpyfbvSxlXnn/fdw2KipaiauacfUFzZ6k/fePU5238edsgBNp3SB23lM89sXBxAREvgwA2TQSAlCCCipcSRlTRj7NixpnPnzja4QUQjmIkrmClXjhPRnBimvWYk9mizYm3arFloTqzRYMYtqTn0L/sbLQPRjCYtDdHyFw1qJLQETwiLS0QrbEeUgwXCRB8nommgoVlPo998yc7yUvmaHTZ0yK1Gs9ucmKMZcoV1F5Z7xukn2vRaglSY1v0vnJz4+MRj9+Wl23mn7Wz+Jx+/P++68gpbJxhq7xqJTV9+8YFNp5kaEie16bZEPNlcTkTTZtlKt9FG67eqy9mq92+/nmrr1YywGdM+tGkL2+3S12qjZvM5vPfea1ejGXAqW5hJOHOc0/Ijzexw9fLubz/50INDzMQJo/DVr/76yPfn54dvP7ezotU39O27rv0RR8KP+jvNetUsYt3T7Fz1V7W2Ryc+q7w//WnNmstytpTq25Um7jr1fRX8/tL3+rbbbGE+njTOtkk/cqmN+i7Sd7yzk3ee0zg5gIhWyeiPtCAAAnEigIgWJ5oJKuvtt982hxxyiNFeaUn+YyZacgIyJ6IpsF51lT5GSzULgyn92q/77nVuv9NapdHmxtrYWGmCm+P7KqJpP53Cdrr/taG020NGM9I0+87d03uhmKRlRAss0MkubR0/dmReWpfPbeyspYrumt41kNGMKwllweVLLo2WyQrTDTdcr6SApE22la6ciCY/uUHWm2+8mGeLq1PvTqQ8YP+9c2kK2+3S12Kjlhe52RJa1uTKDL5rMO24dfCB+4amCabnc3L6H3yFr4px4MP3R9sZt927L2k041fpNMPK7Vemflp7onXo0N7ox5Fi5US9ri0K1Ie6mbdR8xVLV65vV76463S2fDV9knl3wut5J25qJpp+FNF3lbB1aXnnGYybA4hoSR7BYTsIJBsBRLRk+6/u1s+ePdv06dMn9xo0aFDd66ykAkS05ARlTkRbfPFFjfYLCwumvp71iRWONMDQHlnF9tO65eZ/2EGIZgi4cpIoosl27bGjPcrUZs26c+3Re5iYpFPilFYzD4Jp3ec1Vl/F3n/0kSF59524ptPlXFr3rrQqUxtnfzRpbKv7Lp3eix0sEGar9r9TucWW88i/GpwqjVsCpDrCyqrVxmuvvtTWo+WahQcRBNunPZFkj17MoEhO/xL0IZ/xW6Uc0I8SE8a/muv7VlxhOftjjytHYlCpHwNcuijv+hFJ/YvEpyjpy6Up1be7vHHX6cotfNdsYomRat9jw+7NtU8/UKiP14zfuE4jLayb/7P33COiVTJiIi0IgECcCCCixYlmSsvq2vX3Ab6CojXWWMOrViKiJSdociKa9kQrFezq9K/CALwwvQYfStNrmaVyZSVVRFPbbhp8rW2PZkEF2xomJmnpqw5YUPvfeO35vPROaBKGwXL0WTO9lEfLNAvvuQ2h9V54r/D/SkQ0zZxTG7SkNUw4Hf7kg9YmnYAXrCes3bXa+JeD/mzr0jLi+4feXvR17z232HTCKrhxdtA+Pien38FX+KoaDqif0MEw1eQtlWfyh2Ns/6LN90ulq+Reqb5d5dSjzjD79OPEZptuZNunmW9KI8HswAP2yW3VoH5VL/0AFvadEFYu13iGi3EAEc2rIRnGgECmEEBEy5S7/2js//3f/5lx48aZwYMHmwsvvDD0dc4555j9998/N6B0wc+nn376R0FN/oSIlpzgKqqIpn1nxLWnnnig6CBDM4SURjO4XHCVZBFNm+WrPRKbdKiCa1OYmKR7V10xwKbfastNc2l1XUs4Vc7DD96Vd11LK3VAgA420Gw/V7571142yqc96ty1Yu+ViGgq45ijfz80ILj01pWtQyRUr058c9f0HtbuWm10+52pvqgv7esWtIvP/vU32g9txvRJ+Ik90RLBgSsuu8j2P6edenws9pbr29VnxV1nsX5Qfbz6VvXVmmWs7xp3wrP22dRBA0f97VB7ErfSLbjgAmVP0y5WF9f964ub4RNEtCYPwqgeBDKMACJaBp3/2WefmdVWWy3yQLJwwPn00097gxoiWnICqagimmaqiXOlRDQFa0qTFhHt37/MzG3YP+mDP/aQCROT1Pafvp+W229Mp4nqmg4LECarrbpSq2Wwzz3ziL0XXP4aDHi1xFF5C2e2BdO4z5WKaGrPnHPOaffHCW7KrU39Vac28Vd7XPl6D2t3rTYuueTitj6dyiqsorw4XMD//kWDqJYRw/P4E+QSn/33YZZ8pIML1O+9OvKZWDhbrm8XtnHXGeYvze5Vu5ZeqqfdokBp3Oxffe9oVrLLpz05jzj8YJt+gw3WafV95dLxzrNbjgOIaN4MxzAEBDKHACJaxlwu0WmRRRaxwYsCnmpemr3myx8iWnKCLES04r7Svmh6FnU6qfaOcYFjmJjk7rkN/jVA0rV1113blvHAfXfk8ru0+vVf5d9w3RWt7imN9p/TfZ0Y6vIUe69URFM5bnbhNVddkitfBxOoztNPOyF3zdUZ1u5abXQDyeDea64+3otz03dsENGS6zvfuRW3fTrtWD8oaF/QYvt9Vlpnub69HnUW2vjO26/ZQxd0cI1OAdV9CWWaWb3IIl1DD6rRDDq3f2dce8MV2sX/6e8bENF8GY1hBwhkDwFEtIz5/LzzzrMDVw1eq33179/fG9QQ0ZITJNVbRNNG++K0fpkvFTw78UYzkoLpwoQb3XenR154/ll56cvl1SlusqfU6ZyujJYXn7Rptcm+u6b3YjbpngYhbnbWSScebfOvsnKf0MGZOyWz8PRPV9exx/y+5DLuPdFc+S0jnrL2aZaCZt1pRppOI5VoOGXy+Lw2F2t3rTa6mQ/FhERnK+/J6VPkK0S0ZPkry8/X4Buvsf2g+qK4cCjXt9ejzqDtOmVb+7vpu+6O227ItUv7Seqa9kMLpg9+1umkSsOyeZ7hIC8q+YyI5s1wDENAIHMIIKJlyOX//e9/zcILL2yDFgUu1b5uvPFGb1BDREtO8FVvEe2E44+ynL5u4OVFg3YFZ1paIu5XKqL1O/vUouWGiV2ViGi77Pz7PnCFp1iGlRsMMDX4CD7HYTPJtERTabQnWDBv8PPtt95g03To0D5U1AqmrWYmmvL/6U9r2jo0U84Jk8VOGA1rd602SjwTDjqMQoczBNvE5+T0I4W+QkRLru8KfZn2/90ekOW2KoiKQ5S+Pe46g7ZpNp377tKMuOA9zfhVf3vIwfvlXQ+m+fslF9g06tuD1/nMMx2VA4ho3gzHMAQEMocAIlqGXP7JJ5/YgCU46K70c+fOnc306dO9QQ0RLTnBVr1FtEE3XGX5veoqfYxOCQsLwpx4I95XKqJpBltYmboWJvpEFdHcaZBaCqN9woJ1hJUbvK9BzEp9VrTt1smeYUuEzjzjJHv/kgHn5ZUdLEez2rSXmnDRzLngktJgOn2uVkRz7dSpd27mgjhRWL7+D2t3rTZq3zU3c+/gA/e1M+LC6tY1zZTTMtNiM/eK5eN64/sjRLTGYw7P/8D8+n9cbjRL+YXnHg3tyxxW6lPmnXdeOwNXSx3d9cL3qOUpX7m+PWqd+q5SG/pf2C/vYJtC2wr/dzPJ1KcHD8RROn2HaKZxzx7dQ79P9F3lltiPHzuyKB6FdfL/H9wDi99nIg8bNsybMQmGgAAIZAcBRLTs+NqMHDnSDpLLCWfax6Jnz572tdBCC+Xl8elkTrkOES05AVW9RTRtAq9N6sVviSTB2Ubac+zi/ufa/Wgc/6OKaG4GlPYccyKV3rX3i04JVSAbJvo4EU3739x1x412j5hg0KtBhmbPaY8c2RQmcoWVGyxDn9deew2b/567bgodiPRecXl7XyeAFuYN/q/lN23atLFptaz0lZefbpX+oQfuzJ2sVigqlrNVIliPHt1s+Wrviiss16p8Z0+xsmq10XFQ9WsAVyhaaiAosW+JJRazdsqHzibe/exrdKgAp3P66ZssPDPuwJLC/rCw7ZolrH5nn713K9mnRC1P5Zfr26PW6ZZ8yr7ZM6eUtM+16+mnHrQimQ73mfrJu6F5dtt1B9tmLekMCof6/tTMbtWnH2+K/ejl6uKd57sYB5iJlqFBLE0FAc8QQETzzCH1NOfee++1QYsCF/c666yzzBdffGF22OH3YEfXTzjhhJwZ//73v03v3r1z6c8555zcPR8+IKIlJ7hyAoZO3ywWEOl6tadzKm9weaMEtW223tyKTE6oUsDvNrmPKqJ9+P5oM88889hnYM01VjU77rBNTqx78bnHbFvCRB8norlnrXPnBc1GG61v9txjZ7PmmquZ+eef35apX+vPPuuU0IFEWLlB7DSQUfkSpLTXWPCePks4c/cL74X9P+zhe0zXrl1sHuWTmCQM9XKDO9eewkFjOVtV3+V/vzBXtmYFhtmga6XKqsVGlX3zTQNt+WqHeKFZcVpWKp9opohr36abbBi6IXYxm7menL4IX+GruDjg+sXC/rCw/H332d32LRLpC+8F/49aXpS+PWqdlYpoH08aZxZaqLP90cWdDh1sg/s87fP3c98nmimt7zm9NHNN/Wzbtm0Ns9B4Fh1fqnlHRPNhJIYNIJBNBBDRMuT3O++8MzdAVACjpZm//fabRWDo0KG5ex06dDAzZ87MIRMU3xT0/Prrr7l7zf6AiJacAEyCk3h3UImNhhVE6b7SFVvq5wItzZrSgMP9794V1Ltf6FWOXgss0MnstOO2dr8vtwn//UNvz8urNBJvXDnBd22YrI3wXXkSwLTs0c1kCsvrRDTNRDtg/71Nu3btcvlVjp4lzW7TpvvBuoKfw8oN3t9gg3VsmZrpFrzuPl968fn2ftgJmC5N4bsGPhp8uVl9rs3Ce++9djXnnXO6LVM4BvOWs1Vpv571iT3FTXuvaUPqYP7g53JlVWujq0PC6LbbbJHn06BPnnjsvqK2uTJ4T07fg6/wVb04IDFJfcfJJx1TtM/QDFd9f0ikL9XvycYo5Sldub69kjpvvfk62wa1w82uLobXj999YfRjktJeeXn/om12+adOecdsteWmufKVTy+dzMlMX55Lx5Nq3xHRmj0Ko34QyC4CiGgZ8v3w4cPzAplevXrlWv/jjz/aQb0LcPbdd9+cwDZkyJC8fG+//XYuX7M/IKIRhBULvmZM+9CMeP5xG6i7ZZjF0ka5rv1lXh35jH0V7v8Slt+JaO50TuWRePP8s8PM2NEt9nTNsHxRr+kUUj2vWnoZNgtN5Uz6YLTRJtZffPZe2cFOWL2ffjzBipnvvP1aqz1vwtJHuTbq9ReMNsSOkjZKmlpsFC+EkQRbCaLFcIxiB2noi+BA9jggIUn98NVXXlyyT9Os4VI/mDjuRC0vSt8etU71ewsuuIB9OTuKvWubBO2LqQNiiqUJu67Za9oOQDPxNIuOvjZ7z0oYL2q9hojW7FEY9YNAdhFARMuQ78eOHZsnhrVv3z6v9TvuuGPe/c0228wcfvjhdsaaE9f0rplpvvwhohGI1RqE1St/oYgWdz1aGqrnkZPNeAbi5laSymNPNPjfTL7usP3Wdlm4xPw47Ii7vCg2vfnGi/a75PBDD4ylDVHqJA3PbRwcQETzZTSGHSCQPQQQ0TLk8++//97o0ICgIDZ+/PgcAsFlm8E0hZ8vvvjiXJ5mf0BEIxCLIxCrRxn1FNHc0theyywVupdaPdpDmTxrPnJAgygJaT7ahk3pf2a6d1/SHHbIAbHxL+7yonBQ+0R27NjBvDvh9djaEaVe0qT/+ai3jxHRmj0Ko34QyC4CiGgZ8/2GG26YJ6Idd9xxOQR++ukn06lTp7z7hQKa/r///vtzeZr9ARGNIKzeQVq15ddTRNOm93oWb7n5Hwx6fuUZqJajaciHiAb/m8njC847s+al+UH74y4vWHaxz9piwB2SUywN13nOfOQAIlqzR2HUDwLZRQARLWO+HzBgQJ5IplMHR48enUPh+OOPz7sfJqJNnTo1l77ZHxDRCOx8DOxkU71EtJYXn7TP6NJL9Yx18OYrjtjFM16KA4ho8KMUP7gHP+BAejmAiNbsURj1g0B2EUBEy5jvZ8+ebTp2/OOUQYlkOmBABwvo77vvvrP/h4lnutatWzevEENES29wlPTAt14i2habb2JFtME3XsMsNGahZZ4DiGh8ByT9uwL74TAcqI4DiGheDckwBgQyhQAiWqbc/XtjL7roolazzQ499NAcEu+++65p165dqzRdunQx77zzTi6dDx8Q0aoLPAjY6o9bPUS0kS2/n7Dbs0f32E7LhAv15wIY1w9jRLT6YQtvwRYOwAGfOYCI5sNIDBtAIJsIIKJl0O//+te/zCuvvJL3+uijj/KQmDlzprnlllvMzjvvbDbffHPTr18/M2nSpLw0PvyDiEaA52uA990/p5o7bx8U614zkz4Ybcsc9foLmZ+B5KvfsauxfRKnczYWb/gN3nAADvjCAUQ0H0Zi2AAC2UQAES2bfk9NqxHRCOZ8CeawAy7CATgAB+AAHIADcKAxHEBES81wjoaAQOIQQERLnMswOIgAIlpjAhUCQnCGA3AADsABOAAH4AAc8IUDiGjBERGfQQAEGokAIloj0W5QXf/73//Mzz//XLeXyvflDxGNYM6XYA474CIcgANwAA7AATgABxrDAUQ0X0Zj2AEC2UMAES2FPh8zZkyrQwGKnbZZzfVx48Z5gxoiWmMCFQJCcIYDcMBHDrAnGrz0kZfYBC/hQP05gIjmzXAMQ0AgcwggoqXQ5Yho9f/iJjgCYzgAB+BA8zmgQZSENHzRfF/gA3wAB+BAIzmAiJbCQSxNAoGEIICIlhBHVWImIhpBTCODGOqCb3AADjSLA4hocK9Z3KNeuAcHmssBRLRKRoekBQEQiBMBRLQ40fSkLES05n6pE1SBPxyAA3CgMRxARGsMzvAZnOEAHPCNA4hongw8MQMEMogAIloKnY6IRqDjW6CDPXASDsCBenAAEQ1e1YNXlAmv4ID/HEBES+EgliaBQEIQQERLiKMqMRMRzf8vfoIzfAQH4AAcqJ0DiGi1YwgPwRAOwIEkcgARrZLRIWlBAATiRAARLU40PSlr8uTJZp555qnbCZ3jx4/3pKXGcDongV8SAz9shrdwIB4OTJwwysyYPomDBX6NB094CY5wAA4khQOIaN4MxzAEBDKHACJaSl0+cuRI06VLl7JCWo8ePcxjjz1mhg8fHvn13//+1xvUENEI9pIS7GEnXIUDcAAOwAE4AAfgQDwcQETzZjiGISCQOQQQ0VLs8qlTp5pVVlmlrJC20UYbmVmzZiUSCUS0eAIRAjpwhANwAA7AATgAB+AAHEgKBxDREjl0w2gQSAUCiGipcGPxRvz0009m1113LSukde/e3YwbN654QZ7eQUQj2EtKsIedcBUOwAE4AAfgAByAA/FwABHN08EZZoFABhBARMuAk3/77TfTr1+/skLa/PPPb4YOHZooRBDR4glECOjAEQ7AgSRy4KEHh7AnGvuhsSceHIADGeQAIlqihmwYCwKpQgARLVXuLN2Y+++/30gom2OOOUq+Tj/9dPO///2vdGGe3EVEY+CfxIE/NsNbOBAPBzSIahkxnAF0BgfQPEPxPEPgCI5J5QAimieDMcwAgQwigIiWMaePHTvWdOvWraSIJpFt2223Nd9995336CCiEfwlNfjDbrgLB2rnACJa7RjCQzCEA3AgiRxARPN+mIaBIJBaBBDRUuva4g2bPHlyWRFNQtpxxx1XvBBP7iCiEfglMfDDZngLB+LhACJaPDjCR3CEA3AgaRxARPNkMIYZIJBBBBDRMub0jz/+2PTp06esiKbZakk4aAARjaAvaUEf9sJZOBAfBxDR4sMSXoIlHIADSeIAIlrGBrE0FwQ8QgARzSNn1NuUF154wSy00EJlBbS+ffuamTNn1tucWMp3ItqNN/7DaINp95o4YVTeHjkzpk/K3XNp9B41nfIHA4ti5RWmU/nB+tznqOmCdeqz9v5xZQTf650uWJf7HLYPkbsXfI87XVSfRU1X6At8OyR0j6mgT91nfBv+fNf7eYzaDzg/Bd/j9lnU8qI+j1HTuefWiWg8tzy34k6Q6+6z44p7Loulc/fde9TnLO50zu7ge9TnLO50UZ/HqOkKfcFzy3Nb7Hks5EpYOkS0WIZSFAICIFAFAohoVYCWxCwDBw40bdq0KSugHXHEEeY///lPYpqopan6Ej3mmKPNiScen3sp+HSBsN715Ru87z5HTVcYmOp/V0bwvTCQrDVdYRAhe4P1uc/Bturz4EEDq043oP8FedipPF1zdbl31VFYr7sXfI+artAXanuwHPe5MB2+/Z33hb4I4wC+5bmN+jxGTVf4PDb6uXV9ZK19bdS+29Xnnjf65OOtcOXw0Dt9Mn1yMQ4QSxFLRe1ro6RT/D9kyJDEjFkwFARAID0IIKKlx5ehLZEgdthhh5UVz+aee25zww03hJbh80U3E63wyzYY0POZ5QlwAA7AATgAB+AAHIADcCA9HGAmms8jNGwDgXQjgIiWYv9qSaaWZuqQgFKvLl26mJdffjmRSCCipScYIrDFl3AADsABOAAH4AAcgANROICIlsihG0aDQCoQQERLhRtbN2L8+PGme/fuJcUzCWu9e/c2H330kfnvf/8b+fXbb7+1rrBJVxDRCLSiBFqkgSdwAA7AATgAB+AAHEgPBxDRmjT4oloQAAGDiJZCEkyZMsW0a9eurIBWanZaqXs+ndqJiJaeYIjAFl/CAThQKQe0dxvL+eFNpbwhPZyBA8nnACJaCgexNAkEEoIAIlpCHFWJmWPGjKmbgCZxDREt+YEHwSM+hANwIA0c0CCqcLPyNLSLNvB8wgE4AAdKcwARrZLRIWlBAATiRAARLU40PSkLEa30ly5BCfjAATgAB9LBAUS0dPiR5xE/wgE4UCkHENE8GXhiBghkEAFEtBQ6HRGNQKTSQIT0cAYOwIEkcgARDd4mkbfYDG/hQO0cQERL4SCWJoFAQhBAREuIoyoxExGt9i9mghswhANwAA74zwFENP99xHOEj+AAHKgHBxDRKhkdkhYEQCBOBBDR4kTTk7IQ0QhW6hGsUCa8ggNwwDcOIKLBSd84iT1wEg40hgOIaJ4MPDEDBDKIACJaCp1ebxHt3Xff9QY1TudsTKBCQAjOcAAO+MiBGdMnGR/twiaeFzgAsHX6dAAAIABJREFUB+BAfTmAiObNcAxDQCBzCCCipdDlv/32m5k2bVrdXj5BhohW3wCFABB84QAcgANwAA7AATgAB3zjACKaTyMybAGBbCGAiJYtf6eutYhoBHW+BXXYAyfhAByAA3AADsABOFBfDiCipW5YR4NAIDEIIKIlxlUYGoYAIlp9AxQCQPCFA3AADsABOAAH4AAc8I0DiGhhIyOugQAINAIBRLRGoEwddUMAEY2gzregDnvgJBxoHAcGDxpoJk4Yxb5ovzYOc/gN1nAADvjAAUS0ug2vKBgEQKAMAohoZQDitt8IIKIRyPkQyGEDPIQDzeGABlEtI4YjoiGiwQE4AAcyxgFENL/HaFgHAmlGABEtzd7NQNsQ0ZozcEUwAHc4AAd84AAiGjz0gYfYAA/hQOM5gIiWgYEeTQQBTxFARPPUMZgVDQFEtMYHLQSKYA4H4IAvHEBEg4u+cBE74CIcaCwHENGijZVIBQIgED8CiGjxY0qJDUQAEa2xAQsBInjDATjgEwcQ0eCjT3zEFvgIBxrHAUS0Bg64qAoEQCAPAUS0PDj4J2kIIKI1LlghMARrOAAHfOMAIhqc9I2T2AMn4UBjOICIlrRRG/aCQHoQQERLjy8z2RJEtMYEKgSE4AwH4AAcgANwAA7AATjgCwcQ0TI59KPRIOAFAohoXrgBI6pFABGNYM6XYA474CIcgANwAA7AATgABxrDAUS0akdP5AMBEKgVAUS0WhEkf1MRQERrTKBCQAjOcAAOwAE4AAfgAByAA75wABGtqUMwKgeBTCOAiJZp9ye/8YhoBHO+BHPYARfhAByAA3AADsABONAYDiCiJX8cRwtAIKkIIKIl1XPYbRFARGtMoEJACM5wAA74yIEB/S8wEyeMMj7ahk08M3AADsCB+nEAEY3BIAiAQLMQQERrFvLUGwsCiGj1C04I/MAWDsAB3zmgQVTLiOGIaL/CVd+5in1wFA7EywFEtFiGUhQCAiBQBQKIaFWARhZ/EEBEizcgIcADTzgAB5LEAUQ0+JokvmIrfIUD8XEAEc2f8RiWgEDWEEBEy5rHU9ZeRLT4gpGsBXYT33nDvDVqRNUzWKLmf/SRIebC888yU6e8U3Vd1fjm40njzKjXXzC//PhlQ+utxlby8BxXywFENLhTLXfIB3fgQLI5gIiWskEdzQGBBCGAiJYgZ2FqawQQ0ZIdADUzgO21zFJmjjnmMLNnTqlKZIqaf9leS9t6Gi2ibb/dVrZeCWnNxJm6eUbryQFENPhVT35RNvyCA/5yABGt9biIKyAAAo1BABGtMThTS50QQETzN7jxPfCMKoIVa0eU/G+Pe8UKWWuttXrDhSxENJ6NYtxN0/UTTzyePdHYD63h/WuaniHawndFUjmAiFanwRXFggAIlEUAEa0sRCTwGQFENIK/aoO/KCJYqbKj5NcyTs12639hv4YP8uIS0R4bdq95+aXkbdz+7ddTm4J7Kc5wj/4KDsCBchxYc83VTJcuCzf8O6OcXdyHu75xABHN5xEatoFAuhFAREu3f1PfOkQ0grpqg7ooIlipsqPkX3ONVa2I9s7brzV8QBSHiDbmrRbTtm1bu6dbKSx8vLfP3ruZNm3aNBx3H7HAJvpJOJAcDqzUZ0XTvn07+i5mWMKBMhxAREv9MI8GgoC3CCCieesaDIuCACJacgYGvg3ioohgpWwul/+Tj962Atpyyy7TlEA4DhFt4DV/t23QjLpSWPh4b+GFF0JEKzMA8dFv2ESfnnUOIKLxDGT9GYjafkS0KCMl0oAACNQDAUS0eqBKmQ1DABGNYDNqsFWYrpwIVpi+8P9y+a+56hIrQJ1y8rFNEaAQ0RDRCjnL//SXcMB/DiCi+e8jniM/fISI1rDhFhWBAAgUIICIVgAI/yYLAUQ0PwKZRgSU//nXLPPvX2ZWJUiF5S0nggXbVE3+TTbua0W0kS3F9xMLKzdYby2fS4lov/78VSQca5mJFsVXUe0Iw6FcXmaiZaNv4GCBbPg5rA9I6zVENDidVm7H3S5EtGSN2bAWBNKEACJamryZwbYgoqU72NSSyBOOP8rodEvtEaM9rpZZuqc55ugjzOdT3yspBE0Y/6r565GHmPXX/5Pp0KG9mXvuuc2yvZY2e++1q3n6qQfN0kv1tCLX7JlTQsupJf/MLydbWxddtKuRUBYMHCX+XDfwcrP6aiub+eabz8w777xmlZX7mNNOPd589unEXNpJH4w2G2+0gel39qm5a8Fy3Ocfvv3cbLrJhuaQg/fLSxcU0b7/5jMz4KJzzHbbbmk3rBYWq67Sxxx0wD5m/NiRuXyjXn/B1ql69VqqZw+LUbduS+Rdv/3WG2weLfNUuncnvG7//+Kz92yZCy64gGnXrp3ZYfutjU4odbZKWBs65FYj23r26G7LVtq+fdc1Dz1wZy6dSx98VxsuOO9Ms83WmxvhOuecc5oVll/W7LXnLvYAgb8c9Oc8G3Wgg16uLXrffLONqxZig7bw2Z9+R4OolhHFhWp85Y+v8EU0XyCiRcMJPoETIloGB340GQQ8QQARzRNHYEZ1CCCipTeIOu+c063wJSFEIpiElu7dl7TCiK716NHNzJj2YSvhRULNZZdeYDfEd0LKPPPMYzp16pjL667rvVBEqzW/Avtbb77O1nX4YQfl2fevn2aYLbfYJGeHbFp88UVz/2sT/29mf2rzSNCSfRKcSg0WZL/SSVAKpnMi2o2Drrb3XJtXXqm3WW+9tc38889v86nOa6++1OZ96YUnrLglgUuvjh072DQSMN01vV995cU2/e677Wjvt4x4yrw/8U2zxBKL2f8lDLr6VP7DD95lPpo0Ns8O7RW3wQbr5Hys9H+/5IK8Nrj26ICDFVdYLlem0ur0Oglprp5111krz0Z3PWi3BNgoM+Rcvbz7378govnvI56jynyEiFYZXvAru3gholU3diIXCIBA7QggotWOISU0EQFEtPQGT5o1tOSSi9uZS0HhY/SbL+XEmjNOP7GV6HLcsUfmhJX999vLjBvzsvnlxy9tOs2UkqgkMcWJLIUiWq35FdDvvNN2tvwnH78/zz63T9ryy/Uyw598MGeXZtz97a+HWEHpq+mTbJ64RDTXTomSwdl7P30/zRx5xF9yONx7zy15tqod5ZZzOhHtkYfuNpqtJhFNbdbsO/lpjdVXseUPuftmI6FNtsgnUz95N1eX8NcsPN3TTEPNrAsOij58f7Sdsaf7WoKr8r+e9YlNI7++8NyjRmKl8ArmYzlnevuGoJ8R0bLh56DPk/75g/fesj8s6MeFsJd+WFFfGHbPXQvOIE46HtjPM1wtBxDRmjgAo2oQyDgCiGgZJ0DSm4+Ilt7g67lnHjHf/XNqnjDiAi1t1i9RRUv73DW9v/Ly07nZSVo2GLwX/KwllW5WW1BEqzW/6tCyQy3T1Cyun3+YnmfDFpv/Pgvtxecey7vubJv2+fu55Z9xiWiacVZqqeSZZ5xksZQA9u3X+XhHFdEkWC2ySFejJaiuLXqXUHfLzf+w1yQOvvxS+LK7WTM+ssta5dPXXnk2rwwtQdV1zeBzs/SCdRT7jIiW3r4h6HNEtGz4OejzpH8+68yTbZ+mfq3al5biJx0H7OfZrZUDiGhJH8VhPwgkFwFEtOT6DsuNMYho2QzCJLRo8KHlgMEgbM01VrXXtRda8HrY57CDBWrNr3okWMk27dVVWO9OO25r74XN+ipMG5eIVkpAU52a+aUZf7J58I3X5NkcVURT3mICWWG7iv0vQVTlPPv0wzkb9FnXJEpOmTw+d71YGcHriGjZ6Bs4WCAbfg4+20n/rMNmLu5/btHXQgt1tj8GlUqjmcxJxwH7eXZr5QAiGkNBEACBZiGAiNYs5Kk3FgQQ0bIZhE185w0rrgRFNM0A0x5Z2jTfLfcrFaAVimi15nd1HbD/3ta2e+66qdUg587bB9l72qdLyxtdnrD3uES0wmWOYXW52WjHH/fXPJuiimgnnXh0Xr6wOspd04EPhSLauf1Os9eOPeaIistHRMtm31COZ9yHF75zgD3R4KjvHPXFPkS0WIZSFAICIFAFAohoVYBGFn8QQETLRrCpmWcSVLQHlzaYd5viB0W0N159zgoufXqvEElwKRTRas2voFIHB3TuvKDRQQZhQp6WS+qkUYlFeunESM0UC+755oLTRopod9x2g7Vn6602y8MuqohWThB0bXLvWpZ50+Br7empG264nunatUtuGW5wJppm8wkndxqoyx/lHREtG31DFC6QBi4kiQP1FNG0H5v2qCz20gExScIKW7P9bCOi+TMewxIQyBoCiGhZ83jK2ouIlu4A6vFHh+aJTjqRcc01VzObbNzXiitBEe2uO26017SHVpTAulBEqzW/6tQ+bhJ9CsWooD3aJ0wb6buTL5V+2V5LmwfuuyPP7kaKaNqsWnasv/6f8myIW0STsHj0UYfZ01ZVn8RGndK56SYb5paUBkW01Vdb2dpVqUgnvBHR0t03BJ8pPuPrNHGgniKaloiq7y32uvD8s/K+A9KEK21JXz+BiJayQR3NAYEEIYCIliBnYWprBBDR0hcUuUD32qsvzQX6e+y+kxnx/OO54D5sOac269fAoPeKy+fSubLC3gtFtFrzq46j/naoteGG664oa4MONNCARhv6uwHN2WedksvXSBGt/4X9rA2HHLxfrn61J04RTQcLrLD8srYenT53xWUXGXcSqeoKW84pkVTYSOQL82Gpa4ho6e0bSvmde/g96Ryop4imHyT0I06x10svPFFxX5t0vLE/uX0GIlrrcRFXQAAEGoMAIlpjcKaWOiGAiJbc4KdU4Dr5wzG50xolthSmDRPRdMKjBJc2bdq0OmWyML/+LxTRas2vMrt1W8La8NmnE1vZHGaDrv3y45dWTJPdes38crLNO+atFltW377rlixLYpzaLYEqWMf2221lr0fZE22H7be2aa++8uK8MuIU0Q4/9EBbhwaIn348Ia8e2R0mork8EhuDbYvyGREtnX1Doe85WCAbfi70e5r/r6eIlmbcaFv2+gJEtDoNrigWBECgLAKIaGUhIoHPCCCipTNo0n5ZEoaKLYsME9EUQC+9VE+bL8pG9IUiWq3533jteVv3OuusVbHgo7r/vO8eNr/arv+1b5gw0H5h+r/Y69WRz9h01YpoTzx2n82vunRqXLAeJ6L1O/vUvOsujfaoU74oyy2dwCh7Xf7ge5iIJlFP5WvJ588/TA/NFywj+FkimvKG7TcXTMfn4txKAjYaRLWMyOdtEuzGxmTzrp7+Q0SDG/XkV5rKRkTzeYSGbSCQbgQQ0dLt39S3DhEtncGmljVKADnvnNNDhRMnWAX3RFNgeN+9t9l8OqXzqSceCM3rAsgwEa2W/O6Ey0sGnFeyXld/4fuAi86xtgeXdGrZo3CQXYXp9b9mobl2VCOifTRpbG456Z577NyqDieiHXfska3uqf6oIpoOXFA7NNOumKilveyUJrgn2rTP3zcLLriAvV6MC2G46JoT0YRRsTRcT37/gYiWfB/yHOb7sFIR7e1xrxjtZaZl+ZrZDJ75eIJHevFAREv9MI8GgoC3CCCieesaDIuCACJaOoOjO28fZIWTNVZfxfz43Rd5gwLNnFpssUXs/bXXXsMKSQcdsI+ZOuUdm263XXew9ySknXTi0a3yfz71Pbu5vQQbvQpFlmrzay82lffeu6Py7A0G8Fpief65Z5jC5Z4SBRdZpKvN/8zwh3L5lVZl6t7zzw7LXf/Pv2YZLdNcZeU+9r7SFBPR7r5zcCsMJGRdc9Ulpn37dja/BKcvv/ggV76zWadiqux1113bqE5d17uWmn7/zWeRRTTlc2Lf0CG35tWjwwYO2H/vXDvk32EP32NxUr7BN16Tuyc/h516+uYbL1o8nN16d7MSn3z8/lx9WrI7Yfyruf+D6fmczL4EES2ZfuN5K+43LXfXlgZRMQr2kYXfZ1HLIF1xf4CNv9ggokUZKZEGBECgHgggotUDVcpsGAKIaP4GN7UEnlrK6EQQCTzaG0szvTbeaAMrqCywQKecsKITOyWYaVaV6tQgYp+9d8vdb9u2rVlzjVWNxDGd7DnvvPPm7kkgKhx0VJNfwpnKWnGF5UoOfHr26G7TaUaWZhvstOO2uXYqv/YmC87U0hLGVVf5QyiT/UqjNiu9Xn898hD7XkxEUxpX3667bG9PO51//vlz+SVUjn7zpVC7P3x/tD1BU2UIwx132CZXtw5iiDoTTX5xs9pUlk4B1cyyAw/Yxyy66O/iYbt2vwt6nTsvaG07+MB9rU0S7U4+6RjrY+WVP2XzXnvuYpf7umWiOtQhyDkdkqD0HTq0N7vs/Hu7xRNxKJiOz8nuQxDRku0/nr/a/YeIVjuG8DCZGCKiNWy4RUUgAAIFCCCiFQDCv8lCABEtmYFPlID13Qmvmz/9ac2c2CNBZKGFOlsx7duvpxonpPXpvYJ55eWnWwkj99x1k1l5pd5WQFJe95KQNeiGq8wyS/e0wowEuzB7Ksl/6cXn2/JPP+2E0LJc+RLbJAjON998OXtkl/4/68yTzQ/fft4qv2Z8aTllofindkuYkv0ShyTKuXr0rplqRx91mOnRo1teXapv7rnnNsp/2aUXmF9//iovX7AMfb7jthtMp04dc2VIgNt8s43NB++9lTsMoNg+Z4VlabmRRDDni7nmmsust97adi82HSDhbDvl5GNbzZ7Tfm2aERfMr/QS3TbZuK+Rv4L1adaZ7HR16V2z4S664Oy8dME8fE5efzKg/wVm4oTisz/xafJ8is8q89mtN1+X6+f0fQF+leEHXsnFCxEtWWM2rAWBNCGAiJYmb2awLYhoyQ1+ogSumoWkZS3aJ8vNNHP5pkweb94aNaLsgEHLQbVcsuXFJ0OXLLryir1HyT/pg9F2D7YvPnuvrD2qR8KVZnmpXePHjjQ/fT+tbD7tK6aliC8896iZ9dXHZdMH2/PV9El2CaaWikqcVFnB++U+S7SUUKZXrXvuuLIkfAYHfJqBJx+Va5uwUxuee+aR0FM+C9vicJ76ybsVtbmwHP5Pd1+Df/FvUjmgvlN7R+qV1DZgN89fNRxARMvgwI8mg4AnCCCieeIIzKgOAUQ0Aq9qAi/ywBs4AAfgABxIAwe0J6Rm2mqWcxraQxt4LqNyABGturETuUAABGpHABGtdgwpoYkIIKIRbEUNtkgHV+AAHIADcCBtHLj5poGmY8cOdoZu2tpGe3heS3EAEa2JAzCqBoGMI4CIlnECJL35iGgEWKUCLO7BDzgAB+AAHEgzB3Rysw56SXMbaRvPcBgHENGSPorDfhBILgKIaMn1HZYbYxDRCKzCAiuuwQs4kA0OaBDVMmI4AsKv2fA3zzV+hgNwwHEAEY2hIAiAQLMQQERrFvLUGwsCiGgEUy6Y4h0uwIHscQARLXs+5znH53AADogDiGixDKUoBARAoAoEENGqAI0s/iCAiEYgRTANB+BAdjmAiJZd3/Pc43s4kG0OIKL5Mx7DEhDIGgKIaFnzeMrai4iW7QCKABr/w4FscwARLdv+5/nH/3AguxxAREvZoI7mgECCEEBES5CzMLU1Aoho2Q2eCJzxPRyAA4hocIB+AA7AgWxyABGt9biIKyAAAo1BABGtMThTS50QQETLZuBEwIzf4QAcEAcGDxpoJk4YxcECHCwAB+AAHMgYBxDR6jS4olgQAIGyCCCilYWIBD4jgIjGQBoxBQ7AATgAB+AAHIADcCBbHEBE83mEhm0gkG4EENHS7d/Utw4RLVsBEwEy/oYDcAAOwAE4AAfgABxAREv9MI8GgoC3CCCieesaDIuCACIaQRSBNByAA3AADsABOAAH4EC2OICIFmWkRBoQAIF6IICIVg9UKbNhCCCiZStgIkDG33AADgQ5MGP6JPZBytg+SEH/85n+AA5klwOIaA0bblERCIBAAQKIaAWA8G+yEEBEy27wROCM7+EAHNAgqmXEcIQ0hDQ4AAfgQMY4gIiWrDEb1oJAmhBAREuTNzPYFkQ0BtEIKXAADmSXA4ho2fU9zz2+hwPZ5gAiWgYHfjQZBDxBABHNE0dgRnUIIKJlO4AigMb/cCDbHEBEy7b/ef7xPxzILgcQ0aobO5ELBECgdgQQ0WrHkBKaiAAiWnaDJwJnfA8H4AAiGhygH4ADcCCbHEBEa+IAjKpBIOMIIKJlnABJbz4iWjYDJwJm/A4H4IA4gIgGD+gL4AAcyCYHENGSPorDfhBILgKIaMn1HZYbYxDRshk4ETDjdzgAB8SBwYMGmokTRrGheMY2FOf55/mHA3AAEY2hIAiAQLMQQERrFvLUGwsCiGgEUQTScAAOwAE4AAfgAByAA9niACJaLEMpCgEBEKgCAUS0KkAjiz8IIKJlK2AiQMbfcAAOwAE4AAfgAByAA4ho/ozHsAQEsoYAIlrWPJ6y9iKiEUQRSMMBOAAH4AAcgANwAA5kiwOIaCkb1NEcEEgQAqkS0eaYYw7DCwzgAByAA3AADsABOAAH4AAcgANwIE0cSJDGgKkgkGoEENEQ3hAe4QAcgANwAA7AATgAB+AAHIADcMBjDqRalaBxIJAgBBDRPO4o0/TLCW3hl0A4AAfgAByAA3AADsABOAAH4EB1HEiQxoCpIJBqBBDRENH4xQkOwAE4AAfgAByAA3AADsABOAAHPOZAqlUJGgcCCUIAEc3jjpJfaar7lQbcwA0OwAE4AAfgAByAA3AADsCBNHEgQRoDpoJAqhFARENE4xcnOAAH4AAcgANwAA7AATgAB+AAHPCYA6lWJWgcCCQIgVSJaAnCHVNjQuDrr782OuJ64oRRhqPNs3W0Of7G33AADjz04BD6/1/hAX0BHIAD2eOA4v9hw4bFNKKgGBAAARCIjgAiWnSsSOkhAoho2QuaCJTxORyAA3AADsABOAAHss0BRDQPB2aYBAIZQQARLSOOTmszEdGyHUARQON/OAAH4AAcgANwAA5kjwOIaGkd3dEuEPAfAUQ0/32EhSUQQETLXtBEoIzP4QAcgANwAA7AATiQbQ4gopUYIHELBECgrgggotUVXgqvNwKIaNkOoAig8T8cyDYHtB/mjOmT2BOTfdHgAByAAxnjACJavUdZlA8CIFAMAUS0YshwPREIIKJlewCNgIL/4UC2OaBBVMuI4QyeMzZ45rnP9nOP//G/OICIloihGkaCQCoRQERLpVuz0yhENAIpgmk4AAeyywFEtOz6nuce38OBbHMAES074z1aCgK+IYCI5ptHsKciBBDRsh1AEUDjfziQbQ4gomXb/zz/+B8OZJcDiGgVDZlIDAIgECMCiGgxgklRjUcAES27wROBM76HA3AAEQ0O0A/AATiQTQ4gojV+3EWNIAACvyOAiAYTEo0AIlo2AycCZvwOB+CAOICIBg/oC+AAHMgmBxDREj2Ew3gQSDQCiGiJdh/GI6JlM3AiYMbvcAAOiAM6VIDTOeEC/QEcgAPZ4wAiGuNAEACBZiGAiNYs5Kk3FgQQ0bIXNBEo43M4AAfgAByAA3AADmSbA4hosQylKAQEQKAKBBDRqgCNLP4ggIiW7QCKABr/wwE4AAfgAByAA3AgexxARPNnPIYlIJA1BBDRsubxlLUXES17QROBMj6HA3AADsABOAAH4EC2OYCIlrJBHc0BgQQhgIiWIGdhamsEENGyHUARQON/OJBtDrAnWrb9z/OP/+FAdjmAiNZ6XMQVEACBxiCAiNYYnKmlTgggomU3eCJwxvdwAA5oECUhDS7ABTgAB+BAtjiAiFanwRXFggAIlEUAEa0sRCTwGQFEtGwFTATI+BsOwIEgBxDR4EOQD3yGD3AgOxxARPN5hIZtIJBuBBDR0u3f1LcOES07wRKBMb6GA3CgkAOIaHCikBP8DyfgQDY4gIiW+mEeDQQBbxFARPPWNRgWBQFEtGwESgTE+BkOwIEwDiCiwYswXnANXsCB9HMAES3KSIk0IAAC9UAAEa0eqFJmwxBAREt/kEQgjI/hABwoxgFENLhRjBtchxtwIN0cQERr2HCLikAABAoQQEQrAIR/k4UAIlq6AyQCYPwLB+BAKQ5wOif8KMUP7sEPOJBeDiCiJWvMhrUgkCYEENHS5M0MtgURLb3BEYEvvoUDcAAOwAE4AAfgABwI4wAiWgYHfjQZBDxBABHNE0dgRnUIIKIRWIUFVlyDF3AADsABOAAH4AAcSC8HENGqGzuRCwRAoHYEENFqx5ASmogAIlp6gyMCX3wLB+AAHIADcAAOwAE4EMYBRLQmDsCoGgQyjgAiWsYJkPTmI6IRWIUFVlyDF3AgGxxgT7Rs+JnnGT/DAThQyAFEtKSP4rAfBJKLACJacn2H5cYYRDSCqsKgiv/hBBzIDgc0iJKQhs+z43N8ja/hABwQBxDRGAqCAAg0CwFEtGYhT72xIICIRiBFMF1/DowfO9KMG/MyQsWv9ccaPleGMSJaZXilhV/ffj3VjHr9BTPmrRb6JfolOJBRDiCixTKUohAQAIEqEEBEqwI0sviDACJaNgdQaRkIJqUd7du3M23btmWgktGBis88RUTL5nfAbbdcb+aYYw77+v6bz+ib6JvgQAY5gIjmz3gMS0AgawggomXN4ylrLyJaNgdQPg/q02gbIhrPma+8RkTLJjeH3H1zTkT79eevEFAyKKD42idhV+P6JES0lA3qaA4IJAgBRLQEOQtTWyOAiNa4YIXAMLtYb7rJhmajjdZnoMpA1TsOIKJls1965KG7rYg299xze8fJWr8r35/4pmmmMNjs+sPwe3fC6031c7PrD8OEa+yJ1npUxBUQAIFGIYCI1iikqacuCCCiZXMARfCI3+EAHBAHJk4YZWZMn9TUATZcbDwXn37qQSuidezYIRW+/9dPM8zQIbfaHyu0TPXjSeMa2q5m11/qGZKgKEzWXGNVc/NNA82P333RUGyaXX8QNnwCAAAgAElEQVQpbLJ+j5lodRlaUSgIgEAEBBDRIoBEEn8RQERr/OAl60Eb7YdzcAAOwIHmcqDlxSetsLLIIl0bKqjE7ffPp75nzjvndLP44ova9kgs0ucvv/igIe1qdv1R8Pz3LzPNMkv3zOGz0EKdzcknHWMmfzimIRg1u/4oGGU1DSKav+MzLAOBtCOAiJZ2D6e8fYhozR3IZDVwo93wDg7AgSRxYPbMKWbiO2/U9Jox7cM80eLD90fXVN57744y//nXrLwyo2KqkzklOPXs0T0vfz3aGdWmStJJBNx7r12NlqOqHXpp2fz9Q283mhVWSVnVpK2kfh8wFU+efPx+s+MO25g555zT4qX37bfbyl6vlkdRsYu7fh8wjdp2n9MhoqV8kEfzQMBjBBDRPHYOppVHABGNgawCvGbsHxO1zqjpCgPVavMp2Ncv54XlRf2/0fXWOvip1t6oeJCOPiYNHDjrzJNzYo0TbSp9P+iAfXL9ip67SvOHpa922eLb416x9a+4wnI5m+SnuNsZp+91iuigG64yq67SJ4ddp04dzTFHH2EasedWtfX7humUyePNGaefaLp27ZLDsdcyS5krLrvIzPrq4zw+xOk/V1Yc9fuGqWtb0t4R0cqPk0gBAiBQHwQQ0eqDK6U2CAFEtGwOcDUYuOC8M802W29uFl20q/1leoXllzV77bmL6X9hP/PFZ++1CqQ/mjTWHHfskXbPmQUW6GR04qQGMwcesI95/NGhrdK7YPKE448ym2zc10z7/H0z9ZN3zTn9TjPrrLOWmWuuuUznzguaHbbf2rz5xot5+Uc8/7jZcotNjPbradOmja3ntFOPNz99Py0vneq48PyzzMYbbWD3w1FdskkDK/3Kvtyyy5g999jZ3HbL9a3yOfv0/slHbxvlXWut1W27VKeWv2hwpuU6wbT6/OnHE2ybZJO7p/14Vl6pdw7LARedkxMn9ev/dttumUvr8mggfd3Ay83qq61s5ptvPjPvvPOaVVbuY1TuZ59ObJVe+SSa3XLzP6yv5DPl05Ksrbbc1A6AZ834KDRfv7NPtThN+mC0HSjJvs0329jmlz/79l3X2lKrKOfaxnsy+paHHhzCnmgRDrwY9vA9RiJYLa9bb74u92zqOTvk4P1qKk+2aEZONc+a+gGJcup7gvnjbmew7Go/a6N+ffeon3JC4mqrrmQFte/+OTXP/mrrKJWv1vp9xFTt/fmH6ebuOwfbvt/hOv/885vDDjnAjHmrpe641lK/r5iW4pGP9xDRGjTYohoQAIFWCCCitYKEC0lCABEtGQPdOIMvBceafeCCZr136bJwbomH/n/4wbvyAugbB11tOnRon8ujJTQS0YJlHHzgvubrWZ/k5ZPdG2ywjk338kvDrajl8kj8cZ/btm1rnnvmEZv32qsvzdkioS24XGeN1Vdp9Uv57rvtmCvHlSdxLphP1yVihQli2k/HpVUbJSZ1775krswePbqZwmVYbhaHRCi18ZSTj7XpC+3dcMP17NIiYaU2Bv2oJUcSCp3NEv6C+/oo/TezP83LI/Fui83/yKO8TjB05SyxxGLmqSceyMunerVsR2meffphKxa69PKD7Hb/S4z75ccvW+UP2s7n9PQbGkS1jBiOvyMIaWnivUR6PfPrrbe2l77XbOBHHxlifxxwfZN+ZNjvz3uakS3152uz628018aNedkcecRf8r7n9d19z103NeT7oNn1NxpvX+pDREvSiA1bQSBdCCCipcufmWsNIlp6BsNRgjLtwePEKy3f0B4pTviScPLCc4+aww87yGi/HFfe+eeekRNYJMTonmaEaSaFyju332l2tpgGOjr9q3A/GieiSaCSWKWZaO+8/Zotf/zYkXbmlfJKQNJsLn1eeqme5obrrjBfTZ9k67rrjhuNfiHXvRNPODpnm2x0IppmgWmGlluOovaMHd1iDv3L/jn7Nbvsh28/z8svIWzJJRe3dQeXcY5+8yUjQUp1aumLw0PvQRHt0ovPt2k0q0SzwL79eqq5ZMB5FhPZJDzCRLRrrrrE5lt+uV5m+JMP5gYqmhX3t78eYrFS+129EvI040z2aEbG4BuvsTP7dF91SoQMLnN68P47cnmVxoloDscjDj/Y5hFOOq1Ns/XatftdGL3s0gvy8jobeE9ff4GIlj6fRnlO1U+qL9ls0428etb1vaL+U3u1yT69lurZw14r/DEjSjsrTdPs+iu1N+70+uHmH9deZlbqs2IOf81W10zmRpzq2ez648bT9/IQ0TI37KPBIOANAoho3rgCQ6pBABEtWwMozcbSoEQzoApnOYUFexK55plnHpvnqisGFB1svfHqc3ZppsrWMsFgWU5E072wZZVajqSZY7qvV7duS9jlksEy9Fm/iOu+7AkuYXIiWsuIp/LqDeZ/4rH77FJJ5desseA9iU/FlgS5GWZa9hrM40Q0LTeVMHjSifnCntK+8vLTuSUxYSKam1H24nOP5ZXt6tHyVw3o3P/77L2bbb+EOQlt7nrwXctjJOapnRr4BJd2OhFN9zT7LpjPfXYYq13slZaNvgERLRt+ds+4e9cPIeoL1C+4az68F+4Vd9Pga2vao7LSNjW7/krtrWd6LZkUR9yr2v33qrWx2fVXa3eS8iGiVTNyIg8IgEAcCCCixYEiZTQNAUS07AygtIxPwbBmomlj3yiBnvYaU55ddt6+bHrNAlNaLUMM7uflRDT9kl2szrPPOiUXqLtlnYVpNUtMM9RUx6sjn8mVFUVEU1na6015td9Z1MHAa688a/OoDUF7nIim8iSwBcWuYDr3OUxE22nHbW3Z995zS17ZLk/wXUKb6tKyy7dGjSiZXoNj7QWn9Mcec0QurRPRtGQnWHbwswaQbinrB++9VTRdMA+fk92HIKIl23+1PH/qI/bYfSevnnP1pTvvtF1uibl+pNApnC+98ERD7Gx2/bX4M668+o7Rvmhu1rJ4ohnbwR+v4qorrJxm1x9mU1qvIaI1bfhFxSCQeQQQ0TJPgWQDgIiWnQGUll0WCiulAkMtQ3Sz0LQXV6m07p6Wc6qORx66O5feiWha+unSFb5r7xvlW3PN1YqmUR4dfKB0d94+KJcuqoim9jgR7r57b8vlL7Ql+P/Ed96w9RUT0bQf2dQp75QtK0xEUxvUFi1bKjWLTva4JbVamhq0r9hn9wt+cNNwJ6IFl+qG5d92my2sXZq9F3afa+nqMxDR0uXPSp5PiSQH7L+3l8+5fug5/bQT7H6d6if10hJDLTWMMou6EhzC0ja7/jCb6nlNP77cfusN9tAfh7dmJB991GFG34P1rFtlN7v+erfP1/IR0ZI9hsN6EEgyAohoSfYethtEtOwMoJwApUA5SkDnZltpeWWU9EqjgFsBuE7+dHmiiGjaVFj5dGqnyxf2fvJJx9h02i/N3Y8qoim9WxKpfdlc/uC7Zp5JbFSZOnzB/RJfTERzBwsEywj7HCaiaR8znQbqBiya9ffQA3eGLl1ybdTSprDyC69pLzWVq4243bLMqCLa4YceaPMOufvmSHUV1s3/yepTZgT23cN3xX33xmvPGy1pr+WlPSeDGA+85u81lXf1lRe32uMxWH65zwst1NnugRlMV492Bsuv9LMTV9Zee41cX6n9NTWjVtsNVFpepenjqN83TIMY6JRWbVuw8MIL5fDt03sFe1KzvqOCaevxudr6fca0HjjVq0xENAaCIAACzUIAEa1ZyFNvLAggohUfNNUraGlWuZqVJGGl3KwnZ98D991h02+6yYaRA2m3Wf7+++2VyxNFRNMstSgimptNV62Ipr3AVE/QPrX38UeH5glaOq1Us+I22bivTV8PEU31aoB22qnHG/3iL7v0WrbX0kbYOz/oXfug6V4lS5rcPnMapKiMqCLaccceaetCRMtO3xDkGp/D/X7WmSfnnlH3rFb6ftAB++Se68K9tyoty6WPujQ9zK86OEXPe/Be3O0Mll3rZwknBx6wj90ywLVfpylrL0ftB1lr+eXyV1u/b5i6k0e1FcGcc85pea1tDnbbdQd7uFA5HGq9H0f9vmFaKybNyo+IFstQikJAAASqQAARrQrQyOIPAoho4QOmZgU09azXiVkPP3hXpMGGNsbXQKX3istHSi/bdYql8px6ynG5PK7eUss5GyWiHXP0Eda+4Gmb1159qb0mu7U/0IjnH8/ZXm45Zy0z0YK+1l4zF/c/N3caqGzRPnEuzVZbbmpt1Oml7lqpd52ipv3TNED6/pvPbB5EtOw866W4wb3qePDuhNeNhOVaXm++8WLe86tl5bWUp7y1iEc6mfPvl+SfxFuPdsbNOZ3Sqf6yR49uub5bJxefecZJkff7rMWmSuv3BdMvv/jAHvxTiJsEqahbNtSCW5z1+4JpLXj4kBcRzZ/xGJaAQNYQQETLmsdT1l5EtOoGVD4EP5Xa4JbpafARJa+WckjM0S/UP3z7eaQ87vTP4J5lPoloGjSqTZq5IAwmfzgmd2rnFZdd1KqNjRLRnD9++fFLOzgU5nrN/HKytcktY9Ug0aUt9a4ZE2pnr2WWyqVHRMvOs16KG9yDB2nhgGY0af9Nd9Kx+jz9eLDjDtuYr2d9kuv76tXeZtcftV06LGHffXbP7XEqnNZdd21z1x031iTCJqX+qHZmMR0iWsoGdTQHBBKEACJagpyFqa0RQETLzoBK++coeNbJjVFnLyy/XC+bJzgrqligKeFGAxjV8c7br+UGML6IaJoF4ux7f+Kb1j7tMSZ7t95qs5y9wfY1WkRzdf953z2sXW4PNIl+slN7GOnXfJeu2LsGkUq/5x4759IiomXnWS/Gi7DrgwcNNBMnjMrxJCwN1+CO7xxQX62Zxm5pfC3LXKtpa7PrL2WzWzqsk7n/ctCfTeGMyFJ547jX7PrjaENay0BEaz0u4goIgEBjEEBEawzO1FInBBDRsjM4mvb5+2bBBRew4or2BosSFN4/9Habfu655zYSyYrl0ay1VVfpY9NKAAqm80FE0/LGNVZfxdoXPOFS4qDEpmJ4uBldakOwTe7QhbiWcwbL1ucBF51j7XLipU4WdXva6ZABd1hAYT79f8dtN9i8OllVdro0iGjZedadz6O8axDVMmJ4jidR8pDGTy5d/4/LzYXnnxVpXyv1DUrb/8J+RjNg6+XTRtXj7Nd30c03DTTf/fOPTfErwcWVU+17WP3VllUsX6WYaibaoBuuys1sLlZuJdcrwbQe9VdiK2mL91eIaHUaXFEsCIBAWQQQ0cpCRAKfEUBEKx5cpDHwGnzjNVZgkXCkTa7DlrzoV+pRr7+QG1RpnzClb9u2rdGSRwXEQWxefmm4WXqpnjaNNuTXyZDB+40S0dSe995tPaNG9mn2ndqw2GKLmFlffZyzT8tOdV0Cm4S2oN1PPHafTa/7OhlO+5apjqlT3rHilK7XIqJJ1Dr/3DPMZ59OzKtXwp3291H5zwx/KHdvzFstRmKmrusU0w/eeyt3T3bL/mOP+X3PN6VR2cH2IKJl61kP+r7UZ0S09PBiySUXt/1D4WEBYf4PfheobwtLE8e1RtVTytZKcClVji/3wDQ9z2yzOYWI5vMIDdtAIN0IIKKl27+pbx0iWraCMQlg2l/LncglYUwC0l577mKXNHbrtoQdhB31t0NzgyqJTvvsvZu9LnGmU6eOZqON1jfaXyy4QfEKyy+bJ7654LBRIpps02ulPiuanXfazmy7zRame/clc3b36b2CGTfm5Vy7ZN83sz/NCYALL7yQ0b5x2nds4402sPkWWKBTLr8EQuH20aSxsYhoPXt0t2Vr7zPZvNOO2+ZsUTt22H5roz13HI56H/bwPaZr1y42n2zRclsdOvCnP61ptFRH+XT9lJOPNZq9FsyLiJatZz3o+1KfEdHSw4tKxKJGCTGNqqcUxyvBpVQ5vtwD0/Q8s83mFCJa6od5NBAEvEUAEc1b12BYFAQQ0bIZjI1sGW43FpaI5sQnvXfuvKDZZOO+uY33gwGeTpLTkk03G8rlk/B24glHt5rJ5fI6QarUHjW6p/IKl026Mty7lh8pnQYR7pqWN+qahEC3pNTZpncNoE44/qii9umUL4lQwTzae0ximpbmOCFNIpxOLFW9bq+0YnupOdvcu8po375dzmZd16w5iXZO/HL163+dllbsMAedDHfA/nvnxLRgvvXWW9to5p2rN/guYVFpNaMteL3w80knHm3TaSlv4T3+T19/gYiWHp+q39Izrh9Kyj2rt958nU0r0V0/JpRLX+19V4/scicFV1tWtfkqwaXaOhqZD0zT88w2kjdhdSGiRRkpkQYEQKAeCCCi1QNVymwYAoho2Q7GtLeWRKTnnnkk8hH3OpRg9JsvmRHPP25mzfioboOvsIAv7JoT0VpGPGVt0YmWWo76/LPDIm3CrzI1Q08ndT779MN2plmwnimTx5u3Ro2oWzvlgw/fH23rHj92pPnp+2mR69JSULVTBzmU2ict2B4+Z/uZL/Q/Ilp6+HDl5f2tMKZDZAr93Kz/NZtWe3Hq1SwbfMSlFizAND3PbC08iCMvIlrDhltUBAIgUIAAIloBIPybLAQQ0QjG4gjEmllGoYjWTFuom+cpaRyYUbCHYdLsx94/njktAdfMsk8/ntA0warQH9pjU7PQNOu28F6j/vcRl1raDqZ/cL4WHMk72yCiJWvMhrUgkCYEENHS5M0MtgURjWAs6YEkIhocTjqHsR8Ox8EB7QF52CEHNE2sCmuDTsrs2LGDnfEcdr8R13zEpZZ2gyn9RS38CeZFRMvgwI8mg4AnCCCieeIIzKgOAUQ0grFgQJXEz4hocDiJvMVmeBs3By4478xWB4rEXUel5Wm5+YvPPdZUYc9HXCrFMZgeTOk7gnyo5TMiWnVjJ3KBAAjUjgAiWu0YUkITEUBEIxirJQDzIS8iGhz2gYfYAA/hAByAA3AgSRxARGviAIyqQSDjCCCiZZwASW8+IhoBX5ICvjBbEdHgcBgvuBaNF4MHDTQTJ4xq6kwhfBXNV+AETnAADsTJAUS0pI/isB8EkosAIlpyfYflxhhENAKyOAOyZpSFiAaHm8G7tNSpQVTLiOGIaL/yHKWF07QDLsOBaBxARGMoCAIg0CwEENGahTz1xoIAIlq0QIOAzF+cRrYMN3fePsjMmvERQgBCAByokAOIaP72bXzv4Bs4AAfqyQFEtFiGUhQCAiBQBQKIaFWARhZ/EEBEI0CrZ4BG2fALDvjNAUQ0v/3D84N/4AAcqBcHENH8GY9hCQhkDQFEtKx5PGXtRUQjOKtXcEa5cAsO+M8BRDT/fcRzhI/gAByoBwcQ0VI2qKM5IJAgBBDREuQsTG2NACIagVk9AjPKhFdwIBkcQERLhp94nvATHIADcXMAEa31uIgrIAACjUEAEa0xOFNLnRBARCMoizsoozw4BQfgAByAA3AADsABvzmAiFanwRXFggAIlEUAEa0sRCTwGQFENL8DHAJQ/AMH4AAcgANwAA7AATgQNwcQ0XweoWEbCKQbAUS0dPs39a1DRCMoizsoozw4BQfgAByAA3AADsABvzmAiJb6YR4NBAFvEUBE89Y1GBYFAUQ0vwMcAlD8AwfgAByAA3AADsABOBA3BxDRooyUSAMCIFAPBBDR6oEqZTYMAUQ0grK4gzLKg1NwIDkcGND/AjNxwiiDz5LjM3yFr+AAHIiDA4hoDRtuUREIgEABAohoBYDwb7IQQEQjEIsjEKMMeAQHkskBDaJaRgxHRPs1mf7jucNvcAAOVMsBRLRkjdmwFgTShAAiWpq8mcG2IKIRfFUbfJEP7sCB5HMAES35PuQ5xIdwAA5UwwFEtAwO/GgyCHiCACKaJ47AjOoQQEQj8Kom8CIPvIED6eAAIlo6/MjziB/hAByolAOIaNWNncgFAiBQOwKIaLVjSAlNRAARjaCr0qCL9HAGDqSHA4ho6fElzyW+hANwoBIOIKI1cQBG1SCQcQQQ0TJOgKQ3HxGNgKuSgIu08AUOpIsDJ554PHuisR8ae+LBATiQQQ4goiV9FIf9IJBcBBDRkus7LDfGIKKla0CMwIE/4QAcgANwAA7AATgAB8pxABGNoSAIgECzEEBEaxby1BsLAohoBFnlgizuwxE4AAfgAByAA3AADqSLA4hosQylKAQEQKAKBBDRqgCNLP4ggIiWroCIABd/wgE4AAfgAByAA3AADpTjACKaP+MxLAGBrCGQKhFtjjnmMLzAAA7AATgAB+AAHIADcAAOwAE4AAfSxIGsCRW0FwR8RQARDeEN4REOwAE4AAfgAByAA3AADsABOAAHPOaAr4ICdoFA1hBARPO4o0zTLye0hV8C4QAcgANwAA7AATgAB+AAHIAD1XEga0IF7QUBXxFARENE4xcnOAAH4AAcgANwAA7AATgAB+AAHPCYA74KCtgFAllDABHN446SX2mq+5UG3MANDsABOAAH4AAcgANwAA7AgTRxIGtCBe0FAV8RQERDROMXJzgAB+AAHIADcAAOwAE4AAfgABzwmAO+CgrYBQJZQyBVIlrWnEd7jfn666+NjrieOGGUKXcUNvc5Lh0OwAE4kC4OnHji8aZlxHD6/1/T5VeeU/wJB+BAOQ4o/h82bBjDIRAAARBoOAKIaA2HnArjRAARjSCrXJDFfTgCB+AAHIADcAAOwIF0cQARLc4RFWWBAAhUggAiWiVokdY7BBDR0hUQEeDiTzgAB+AAHIADcAAOwIFyHEBE825YhkEgkBkEENEy4+p0NhQRjSCrXJDFfTgCB+AAHIADcAAOwIF0cQARLZ1jO1oFAklAABEtCV7CxqIIIKKlKyAiwMWfcAAOwAE4AAfgAByAA+U4gIhWdHjEDRAAgTojgIhWZ4Apvr4IIKIRZJULsrgPR+BAejnAwQLp9S3PLb6FA3CgFAcQ0eo7xqJ0EACB4gggohXHhjsJQAARjQCrVIDFPfgBB9LNAQ2iOJ0z3T7mGca/cAAOhHEAES0BAzVMBIGUIoCIllLHZqVZiGgEVmGBFdfgBRzIBgcQ0bLhZ55n/AwH4EAhBxDRsjLao50g4B8CiGj++QSLKkAAEY2gqjCo4n84AQeywwFEtOz4mucaX8MBOBDkACJaBQMmkoIACMSKACJarHBSWKMRQEQjoAoGVHyGD3AgWxxARMuWv3m+8TccgAOOA4hojR51UR8IgIBDABHNIcF7IhFARCOYcsEU73ABDmSPAwP6X2AmThhl8H32fI/P8TkcyDYHENESOXTDaBBIBQKIaKlwY3YbgYiW7QCKABr/wwE4AAfgAByAA3AgexxARMvu+I+Wg0CzEUBEa7YHqL8mBBDRshc0ESjjczgAB+AAHIADcAAOZJsDiGg1DaHIDAIgUAMCiGg1gEfW5iOAiJbtAIoAGv/DATgAB+AAHIADcCB7HEBEa/44DAtAIKsIIKJl1fMpaTciWvaCJgJlfA4H4AAcgANwAA7AgWxzABEtJYM5mgECCUQAES2BTsPkPxBARMt2AEUAjf/hQLY5oEFUy4jhHCzwa7Z5QD+A/+FA9jiAiPbHeIhPIAACjUUAEa2xeFNbzAggomUvaCJQxudwAA44DiCiwQXHBd7hAhzIFgcQ0WIeVFEcCIBAZAQQ0SJDRUIfEUBEy1bARICMv+EAHAhyABENPgT5wGf4AAeywwFENB9HZtgEAtlAABEtG35ObSsR0bITLBEY42s4AAcKOYCIBicKOcH/cAIOZIMDiGipHd7RMBDwHgFENO9dhIGlEEBEy0agRECMn+EAHAjjACIavAjjBdfgBRxIPwcQ0UqNkLgHAiBQTwQQ0eqJLmXXHQFEtPQHSQTC+BgOwIFiHBg8aKCZOGEUBwtwsAAcgANwIGMcQESr+zCLCkAABIoggIhWBBguJwMBRDQG18UG11yHG3AADsABOAAH4AAcSCcHENGSMVbDShBIIwKIaGn0aobahIiWzsCIgBe/wgE4AAfgAByAA3AADhTjACJahgZ8NBUEPEMAEc0zh2BOZQggohFcFQuuuA434AAcgANwAA7AATiQTg4golU2ZiI1CIBAfAggosWHJSU1AQFEtHQGRgS8+BUOwIEoHJgxfRL7IGVsH6QovCAN/QccSD8HENGaMPCiShAAAYsAIhpESDQCiGjpCpI+njTOjHr9BfPLj18memA8fuxIM27My4luQ9IHIFMmjzf33XubufTi883jjw41s2Z8lPPHzz9MNy0vPmkGXvN3c8N1V1hf/fuXmbn7SW97luzXIKplxHB8h5AGB+AAHMgYBxDREj2Ew3gQSDQCiGiJdh/GI6KlS0TbfrutzBxzzGGFtCQLAe3btzNt27YloG9CQC+B7PTTTjBzzTWX5ZL45F7PPv2weeO1502f3ivkrrl7ffuui7+a4K9an3NEtHR9B9TKB/LDBziQHQ4gojEOBAEQaBYCiGjNQp56Y0EAES1dwRIiWrr82YzBzLHHHGEFsrnnntscdMA+5sLzzzL777eXWWH5Zc09d99kJHBKOFtl5T5WbDv1lOPMpptsaLbbdktENEQ0OJBADjSjn6FOvqvgQPM5gIgWy1CKQkAABKpAABGtCtDI4g8CiGjND2LiDCQR0dLlz0JufPv1VNP/wn51EyrGvNVi5pxzTtOmTRvz8kutl/jttusOVkDbeaftjGasFdrH/8njHzPRkucznjM/fFbv/hg/++HnNPsBEc2f8RiWgEDWEEBEy5rHU9ZeRLR0BWmIaOnyZ2Hwvs/eu1mBq/B6XP9fcdlFViTb7897hgpkHTt2sCLb+xPfDL0flx2U0zgeI6I1Dmt4nS6s690fw5d08cVHfyKipWxQR3NAIEEIIKIlyFmY2hoBRLR0BWmIaOnyZ2HQvfDCC9VVRDvskAOsiHbzTQNbiWRTP3nX3uvefclW9wrt5P/k8HDwoIFm4oRR+JRlmHCgQg7Uuz+mH01OP5pUXyGitR4Xca28AQwAACAASURBVAUEQKAxCCCiNQZnaqkTAoho6QrSENHS5c/CwLzeg7bdd9vRCmVPP/VgqwH12+NesffWW2/tVvcK7eT/dPMQ/+JfODDb1Ls/BmOes3pzABGtToMrigUBECiLACJaWYhI4DMCiGjpCtJKiWi//vxVU8WP//xrVuT6Kzmd89+/zIxcrgtIZUs1+Vz+emAZxaZ6D9qciNYy4qlWmDoRbfPNNm51z+HCe7r6E/yJP5PEgVr75Uq+o4RLvfvjJGGPrcnsKxDRfB6hYRsIpBsBRLR0+zf1rUNES2bgUyxgDYpo33/zmRlw0Tn21MQuXRY2Om1x1VX62BMXx48dWVYI+WjSWHPcsUeajTZa3yywQCd7KqPyH3jAPubxR4eWza8ByS03/8Pstecu9mTH+eabzyyySFez1ZabmrPOPNnMmvFR0TLKiWiTPhhtjjziL2attVY38847r+nUqaPZcMP1zNlnnWLU7jB8PvnobXPC8UfZPCpfm+cvs3RPc8zRR5jPp77XKo/q2HijDUy/s0+1954Z/pA5/NADbR5tvr/cssuYfffZ3Uz+cEyrvGH1h13ToO+6gZeb1Vdb2QgftUWnXp526vHms08nmqP+dqi1QXbopVMx9XL/612ilgTBQnvD6tO1H7793J6mecjB+1m7R7YMz5UnP6v8lVfqba+p7MMOPdB+lo26J+xc/bffekPVbS9mH9fT1SfhT/wZNwfUJ6sPUp8366uP7fec+ir1oerD+vZd1/ar5USxSr+jKumP424z5fEc1YMDiGipH+bRQBDwFgFENG9dg2FREEBES1dg5kS0GwddbYUrJ7pIFNEyvPnnn98KIW3btjXXXn1pUQFE+Tt0aG/TqgwJcBJPXHl6P/jAfc3Xsz4JLePTjyeYLTbfJC+9hC6JT66MJZZYzDz1xAOh+UuJaPfcdZPRBveuHH3W4Mn9v2yvpc1rrzybV+5555xu26A0apcGWdrby+Xp0aObmTHtw7w8o15/wd4XphKLgrYHsVB5jw27Ny9vlGD3Xz/NMFtu8QdGwmfxxRfN2SQf7bjDNqZnj+65l7M3eE1CoES0oL2l6p89c4qtY4Xll7U2Sxx05c0zzzz2nmZY6JrK3nbbLeznrl272HsSH136q6+8uOJ2l7KNe43vj2ZMn4QPK9wLC542nqdBzN333LNPP2x/FHH9or4H5pprrlwfqh9sfvnxy1B+V/Mdtesu2+f6PvWBrl7XH7o+s5ZZzsF28rm5PMsC/ohoUUZKpAEBEKgHAoho9UCVMhuGACJauoI0N7hwwb3Eo+Asq5++n2ZncLn7995zS6sBxvnnnpEbHKg8iTPKp1/tP3x/tDm332l2FpfKWHONVY3EoGCwKTFKM850X7MCBt94jdGm9Erz7ddTzXPPPGJnxDkbHrz/jrz8SldMRBv28D052/bea1fzwXtv2byyTcLZOuusZe9r5t3MLyfnytUshSWXXNwMHXJr3jLO0W++ZCTmyZYzTj8xl142OFFKAqKbeXb9Py43mtGm+5qB5kSwxRZbxHwz+9O8/EpT6nXNVZfYepdfrpcZ/uSDucGeyv/bXw+xot9XBQJHqeVDzl75rFS9hSJaMC3LOUv7LIhVWj5rENUyYnhJzqSlrbQjHfx233PuR6EjDj/Yfq9IMPvxuy/Mbbdcb9q1+/1Hn8suvaAVt+P4jhKXSvXHcC0dXEu7HxHRGjbcoiIQAIECBBDRCgDh32QhgIiWrkAvOLh46IE7Ww0eXEB45hknWQFHApKELXddyzzdbKSrrhiQu+7uu/c3Xn3OdO68oC1DS0bddb3vs/du9rpmvznBKXhfn3/+YbrRckKJV4su2rXV0s4wEU2Do6V69rB5jj/ur3l1uvK1VLFP7xVsGs2Uc9cl3H33zz/a6a7r/ZSTj7Xpt9l681x6XXeilGzs1m0Jo5kLwXz6rBkHvVdc3ua/9OLzW90vTB/8383Ue/G5x0LzTfv8fStcBvOUGrQ5exHR0vVMB/1fj8+IaPClHryqZ5nue059s34oCqtLM5Z1XzOVC/dKi+M7SnWW6o/DbOIaz5pvHEBES9aYDWtBIE0IIKKlyZsZbAsiWrqCOje4KCWgKYiT2KSZWRpkaKaYC+y0z4yu7bLz9rlr7l7hu/Y7U1otO9T+XbovQUjXtKTmrVEjSpah2W3aV0zpjz3miLy0YSKalp8qrZZrFg6KgrZpeaLS6VVsf7Rges1gU9oNNlgnzwYnSkksfHfC63n3gvm19FX5/7zvHkXTBNO7zzvtuK3NFzYb0KUpfC81aHP2IqKl65ku5EDc/yOiwZe4OVXv8tz3nPbFLFaXviPckn03Y1lp4/qOUlml+uNidnGd580nDiCiZXDgR5NBwBMEENE8cQRmVIcAIlq6Ajo3uJCgUi5Qc7PR3KwuLct0s9DCZl2FlaflnBKQHnnoblufWwp66F/2L1u/ynPLM7VpfbD8MBHtLwf92dalvd3uH3p70ZdEKdmkVzkhT3VOfOcNm7aYiFZOlNKsPNW19tpr5LUh2J6wz3fePsjm0z46YadhhuUpNWhDREvXsxzm/3pcQ0SDN/XgVT3LjPo9t+02W9g+9onH7sv1zXF9R6l9pfrjerafsnlm4+IAIlp1YydygQAI1I4AIlrtGFJCExFAREtXMBZ1cKEA7I7bbrADjK232swOMN4e94r9X0sXowZoRx91mM1zwXln2jxuT62bBl8bqQzt+SUBSqdSBmeXhYlobr8zJ5BFeb/7zsGt7NDMM+3rJltXXGG53GEL1YpomoUnW9xG/VGx0zJanS7q2qFZgJpBWGpT6lKDNkS0dD3LUXlUazpENHhTK4canT/q95xOU1b/OuTum3PfA3F9R6nNpfrjRmNCfTzH1XAAEa2JAzCqBoGMI4CIlnECJL35iGjpCryiDi4UbD384F12gLH++n+yA4wH7rvD/r/pJhvmBhzlgjK3Of7+++1l82gfNA1aXnrhichluL3VJn0wOpcnTERzy081IHry8fsjvYKHCzz+6NA80UqHD6y55mpmk437WpurFdFKbdRfDj8taT3t1OPzThvVclX5IixvqUEbIlq6nuUw/9fj2kMPDjETJ4wK5Vs96qNMeForB6J+zx137JG2bw+KaHF9R6kNpfrjWttIfp6TRnAAES3pozjsB4HkIoCIllzfYbkxBhEtXYFa1MGFgrP+F/azAwxt8K//X3n5afu/NsqPGrzpREuJZqeecpzNs9WWm9r/dQpmlDJ0WID2T9Ppl8H9y8JEtL5917Vla/lklLKDadx+arJ1j913MiOefzxXRq3LOWsR0ZyNKuPi/ufmTgqVnWefdUrORpeu1KANES1dz7LzOe/4FQ7kcyDq91yYiBbXd5R8Uqo/xmf5PgMPP/FARGMoCAIg0CwEENGahTz1xoIAIpqfgU21AWfUwYXK32H7ra0odfWVF1uxRssLJd60adPGHjwQxYbttt3S5tH+Xkp/8knH2P+131qU/G+89rxN32uZpfLSh4loRxx+sE17w3VX5KUtV8/kD8fY5aJq2xWXXdQqrw8immvDLz9+acU0+UCv4Ew6pSk1aBvzVovFR2KjKy/svZTo55Y6he3R5pb7br7ZxiXLD6uTa+nqZ/An/mwmB6J+z4WJaHF9R6n9pfrjZuJD3TyfUTmAiBbLUIpCQAAEqkAAEa0K0MjiDwKIaOkKtqIOLrTRskQlvUa2DM+JIssv18teC5sFVRiUSQDTLDKV8c7br9ky7rnrJvv/Qgt1Nl9+8UGu3MK87v8dd9jGpt9zj53z0oaJaBLPVJcEt+/+OTUvvSsv7F37symf2/utMI1PIpqzTSd9yubCveU0aNP1sH3Tvpn9qb3XtWuXkti8OvIZmy5sDzdEtHT1B45PvOPXNHEg6vdcmIgW13eU8CzVH6cJb9qS3v4DEc2f8RiWgMD/t3cm0FIUZxsWg0AUWYzgAm5E40JMjIrBNW6IUeMOJmqUoOCGBvcVRMU1+UUwIuKagBpFwYUr6+W6kRsFhICsrsiVLRE3EFzrP19zaujp6Znpme6e6a565hxOz0xXV1e939Nzv3rprrJNAUw02yJuWH8x0cxKjoIMLhYtmJ55bNBrXsmql2LSNG7cWIlJli95lrvWfrHnHk5ZMXx0OVnhU1balDrEkHEvFqDL6K1e2EBWBJW7nPT3svUz0WT+MJkvTOo++4+/9zWSdB3Svquu/LOSSf/FEJRj+t9wVdY5dFl9N1w15kTTbfBuB958g9Nmr5mpB21yN5n3GPm8zTZbOcc9+fjDvvvlODEhRQ9MNLOufT8egnwn86EtbVjgy0uQ4ykDR5VmIMjfOWmTn4kW1d8oqb/Y73GldeF8XIulMoCJZtigju6gQIoUwERLUbBoaq4CmGhmJV16cCGrUsp8Y+6ESu5ekoUAxKASE0UGAH53i8mcYbK/adOmzuOPX3+1Iquel6fUqJ123MEpI5Pzywqb7vPIY4ViwkkdsqLmvLffyNov7epzUS9nv5S5sd/VWfulLj8TTb4f/9IzmePksUVv3fI45OMjHsyYhGLOyaOmcp5f7bVnjiZyR97WW7d19u+776+UmExnnXma+uDd/6go5hhz6+J9L7GSvovR594npl7btm2cNo2rGZW1T+suCyvoY1YsXaRmvfWa81nqk77K8RPHj86UkRhKf/b8+XrjU8pgopl17WseSt3KIKqudsPdqKUeT3k4qjQD+u+c/KYVOrefiSblo/gbJfUU+z0u1Db2cd0kgQFMtNxxEd+gAApURgFMtMrozFliUgATzaxETg8uxCSRObU67rGbOvGEY5xVKX/84x87Bos2lN789xTfAciKZe+o07qflCnbosXm6uCD91eHHXqw2n779pnvxYTJN4gZ/cwIJY8Vyrlk0QB5TFQmdO7UaW/VrFmzzPeXX9ZHyZ0B3mQyn4km5YY/MDhjBErd0o7jf/dbZ6XNJk2aZNonq4zKnGLymKMe7IhxeG7PPyqZs+2Qgw9wyrZs2SJzjJiCUqfcrRe3ibbD9ts559Vx+t1xR2faKbrJnHXexzZlEQjZ17z5ZuqE49fHVdorfRFtVn/ekLlDUMrJ6qNSj/RLPsu/83r/ydliopl17XuvoaCfMdHgICgrSSmn/87l+/uj25nPRJP9Yf9GSR3Ffo91O9hyjSWVAUy0mAZXVIsCKFBUAUy0ohJRIMkKYKKZldzJoOLCC87JMru0eSJ3h+2x+67qztsHFHzMUid78kigPLKp7yrT9bRvv63q++cLc+7q0sfp7dIl89WZZ3TPmGn6eDHROnfeV8kdbbqsdyvGlhhp3u/15/lz31RHdz1CicGn65Wt3D3361/vq+QOM11WtrNnTXUMPHdZmbdNzDR59FMbaaKPrFIqx+iJ+sWgc9flfS8mnRhZYlh69xX6/PbsesfQ06aibpt8vvaay3wXd5C7zmRif11WtvJ45s0DrsucW1Y5lcGj21CUctK3wYPucEzFfO3t3u1Ep26ZN83bdj13XL655bzl+ZyO3xZMtHTEietpQ5zkN1l+0+Q3upAul/a90Ckn0xT4lQvzN0rqC/J77HdevtsQS7SorhaYaEkeodE2FDBbAUw0s+NrfO8w0aqbwMSZQMpjljLIkEcCxUTyu+MryPnl7ia5a6124vPOoCHIMd4y8siiPF4oCxAUmifNe1yxz/KY4oJ5bzqPecqjnd47t9zHS1lZqVMeCZU7zdz73l34lnqjvjbrO/f+ON+LHmIKSrvemv6Kkrnfip1Pl//gvdl5y0q85THPSRPGKLm7sFid7Df3t6BQbDHR7Ix7ISZs3Bfmb1SQ32MbNaXPyf9twUQzfphHB1EgsQpgoiU2NDQsiAKYaMlPckhEiREMwEBcDGCiwVZcbFEvbMFAshnARAsyUqIMCqBAHApgosWhKnVWTAFMtGQnOCSgxAcGYCBOBmRRAVbnhLE4GaNu+IKBZDKAiVax4RYnQgEU8CiAieYRhI/pUgATLZmJDQkncYEBGIABGIABGIABGIiLAUy0dI3ZaC0KmKQAJppJ0bSwL5hoJGdxJWfUC1swAAMwAAMwAAMwkEwGMNEsHPjRZRRIiAKYaAkJBM0oTwFMtGQmNiScxAUGYAAGYAAGYAAGYCAuBjDRyhs7cRQKoEB4BTDRwmtIDVVUABON5Cyu5Ix6YQsGks8Ac6IlP0ZcR8QIBmAgDgYw0ao4AOPUKGC5ApholgOQ9u5jopGYxZGYUSdcwUA6GJBBlBhpxCsd8SJOxAkGYCAqBjDR0j6Ko/0okF4FMNHSGztarpTCRCMZiyoZox5YgoH0MYCJlr6YcZ0RMxiAgSgYwERjKIgCKFAtBTDRqqU8541EAUw0ErEoEjHqgCMYSCcDmGjpjBvXG3GDARgIywAmWiRDKSpBARQoQwFMtDJE45DkKICJRhIWNgnjeBiCgfQygImW3thx3RE7GICBMAxgoiVnPEZLUMA2BTDRbIu4Yf3FRCMBC5OAcSz8wEC6GcBES3f8uP6IHwzAQLkMYKIZNqijOyiQIgUw0VIULJqaqwAmGslXuckXx8EODKSfAVbnTH8MuQ6JIQzAQDkMYKLljov4BgVQoDIKYKJVRmfOEpMCmGgkXuUkXhwDNzAAAzAAAzAAAzCQXgYw0WIaXFEtCqBAUQUw0YpKRIEkK4CJlt7kh8SV2MEADMAADMAADMAADJTDACZakkdotA0FzFYAE83s+BrfO0w0Eq9yEi+OgRsYgAEYgAEYgAEYSC8DmGjGD/PoIAokVgFMtMSGhoYFUQATLb3JD4krsYMBGAjLAHOiwVBYhjgehmAgnQxgogUZKVEGBVAgDgUw0eJQlTorpgAmWjoTHxJW4gYDMBAFAzKIEiMtirqoAyZhAAZgID0MYKJVbLjFiVAABTwKYKJ5BOFjuhTAREtPskNiSqxgAAaiZgATDaaiZor6YAoG0sEAJlq6xmy0FgVMUgATzaRoWtgXTLR0JDokpMQJBmAgDgYw0eAqDq6oE65gIPkMYKJZOPCjyyiQEAUw0RISCJpRngKYaMlPckhEiREMwEBcDGCiwVZcbFEvbMFAshnARCtv7MRRKIAC4RXARAuvITVUUQFMtGQnOCSgxAcGYCBOBjDR4CtOvqgbvmAguQxgolVxAMapUcByBTDRLAcg7d3HREtuckPiSWxgAAbiZmDOrHq1tGEBCwushbW4WaN+GIOBZDGAiZb2URztR4H0KoCJlt7YldXyKVOmqBtuuCHr36RJk3zruuOOO1Tnzp2z/g0ZMsS3bLW+xERLVkJDgkk8YAAGYAAGYAAGYAAG4mYAE61aoy/OiwIogIlmGQNdu3ZVG220Uda/fv36+aowePDgrHJy3O677+5btlpfYqKRpMWdpFE/jMEADMAADMAADMBAshjARKvW6IvzogAKYKJZxMDq1atV06ZNc4yxV1991VeF+fPn55QVI2358uW+5avxJSZashIaEkziAQMwAAMwAAMwAAMwEDcDmGjVGHlxThRAAVEAE80iDmbNmpVjiomp9s033+RVoW3btjnHjB07Nm/5Su/ARCNJiztJo34Yg4HkMjDq6ZHMicZ8aMyJBwMwYCEDmGiVHnVxPhRAAa0AJppWwoLtxIkTcwyxnXfeuWDPDzzwwJxjhg8fXvCYSu7UJtp1116tBt4yIPOvrrYmK6GSiafd+/X7oOVk8mr3QFo+6zrcW285qd+9X78PWs47YbYMGHUd7q27bfI+6nLDhg7OOa985z2vu036fdBy0uYg9QWNWdBy3lgQ2wEqaMyCliO2XLdBr8eg5fR1K4MoOYbrlutWONB/d9xbzYr++5KvHH9vN+RQWr+g12PQct5YcN1y3ea7Hr2s+JWT3/+RI0dWctjBuVAABVDAUQATzSIQ5A+Ndz60jh07FlTgoIMOyjlGFhxIymvhwoVK/ojeecdAZ+Avg3r555fQ6X3ubdBy3j/m8tldj37vTcKjLift1edyb/XgQG/FtHDv1+/1fr31K+dneAQtp8/j3vrV596v3weNRdTliG0uK0FjFrRc1DELWh+xNT+2bhNN/5a4t/wmr/+b6NaE6zbY32/5nXHrpt/rv596K3rqfe6t3q+3fuX8YhG0nPtc+r1ffXqfexv0NzTqcvwm57ISNGZBy0Uds6D1VSO2mGhJGY3RDhSwTwFMNIti/uijj+YYYs2aNVNffvmlrwrffvut2nTTTXOOue2223zLV+NLfSea94+3TlrZJvcxLGJDbGAABsIyoE20sPVwPCzCAAzAQLoYkN//0aNHV2P4wTlRAAUsVwATzSIAampqcgwxuTOtf//+vir07dvXt/xDDz3kW74aX2KipSvhIUElXjAAA1EygIkGT1HyRF3wBAPpYQATrRojL86JAiggCmCiWcTB9OnTfU2xRo0aqeuuu85ZdfP7779X06ZNU/kMNDHdWFggPQkGySCxggEYMJkBTDT4Nplv+gbfMJCfAUw0iwaxdBUFEqYAJlrCAhJnc9atW6datGjha6TpudIaN25cdP///ve/OJtZUt3ciZY/uSDxQhsYgAHTGfDOeWZ6f+kf1zQMwAAMrGcAE62kIROFUQAFIlQAEy1CMdNQ1emnn17QJNNmWr5tly5dEtVNTDSSSZJJGIABGIABGIABGIABuxjAREvUkIzGoIBVCmCiWRVupeSRzo033rhsI622tjZRimGi2ZUwkSATbxiAARiAARiAARiAAUy0RA3JaAwKWKUAJppV4V7f2ULzneW7A02+79mzZ+LUwkQjiSKRhgEYgAEYgAEYgAEYsIsBTLTEDctoEApYowAmmjWh3tDR7777TskfnkKGmXdft27d1DfffLOhkoS8w0SzK2EiQSbeMAADbgaGDR2s5syqV+7veA8jMAADMGA+A5hoCRmM0QwUsFABTDQLg667/Pzzz6t99tmnoJm21157qdGjR6sffvhBH5aoLSaa+UkSiTAxhgEYyMeADKLqamsw0dbCSD5G+B42YMBMBjDREjUkozEoYJUCmGhWhdu/s+PGjVPXXnutOvnkk1WnTp3USSedpK655ho1duxY/wMS9C0mmpmJEQkvcYUBGAjCACYanAThhDJwAgPmMYCJlqABGU1BAcsUwESzLOCmdRcTzbykiESXmMIADARlABMNVoKyQjlYgQGzGMBEM21UR39QID0KYKKlJ1a01EcBTDSzEiISXOIJAzBQCgOYaPBSCi+UhRcYMIcBTDSfgRFfoQAKVEQBTLSKyFydk8gCAuvWrcucfPXq1er8889X5513Xqh/ixcvztRZ7TeYaOYkQyS2xBIGYKBUBjDRYKZUZigPMzBgBgOYaNUehXF+FLBXAUw0Q2M/aNAg1b59e9W0aVP1hz/8QS1btsz55111s5zPM2bMSIxqmGhmJEIktMQRBmCgHAaWNixgUQEWFYABGIABCxnAREvMcIyGoIB1CmCiGRjyRYsWqUaNGmWtuikLBYiRVo5p5j0GE43BbjmDXY6BGxiAARiAARiAARiAgSgYwEQzcBBLl1AgJQpgoqUkUKU089Zbb80xyzp06ICJZuH/0kWRpFAHyS4MwAAMwAAMwAAMwECSGMBEK2V0SFkUQIEoFcBEi1LNhNQ1derUHBOta9eumGiYaDzuAAMwAAMwAAMwAAMwAAOpZwATLSEDT5qBAhYqgIlmaNDPOOMM9aMf/cgx01q1aqWmTZuGiUbClPqEKUn/A0pb+B95GKg+A8OGDlZzZtXz28bfNxiAARiwjAFMNEMHsXQLBVKgACZaCoJUbhM/+ugjNXnyZCWrcsrr008/Vfvtt5/q1KlTqH+szln9gSODd2IAAzAAAyuVDKLqamsYPFs2eIZ9fv9gAAYw0codIXIcCqBAWAUw0cIqyPFVVYDVOUmiSKRhAAbsZQATzd7Yc90TexiwmwFMtKoOwTg5ClitACaaReH/7rvv1IsvvqheeOEF59/EiRNT33tMNLsTKBJo4g8DdjOAiWZ3/Ln+iT8M2MsAJlrqh3F0AAVSqwAmWmpDV3rDly1blrXgwDbbbFN6JUopWbigf//+6swzz1R9+/ZVo0aNUt9//31ZdYU9CBPN3uSJxJnYwwAMYKLBAL8DMAADdjKAiRZ2FMXxKIAC5SqAiVaucik8zs9Emzt3rurRo4faY4891K677qrOOussNWnSpLy969evn2rUqFGWGbfRRhupvffeW/3vf//Le1xcOzDR7EycSJiJOwzAgDCAiQYH/BbAAAzYyQAm2obRVUNDg5IxmiwsN2XKlA07LHr3yCOPqGHDhuX8e+edd3xVKEczmWdcznPZZZep7t27q+OOO06de+656sYbb1SzZs3yPU+lviy1/5VqVzXO849//EP17t1bHXvsseqcc85RQ4cOjbwZmGiRS5rcCr0mmphfzZs3zzHExCS7/vrrczoyc+ZMtfHGG+eUl3rk3yGHHJJzTNxfYKLZmTiRMBN3GIABGIABGIABGLCXAUy09aOsr776SrVu3TprfPb3v/897iFY4urPN0Z94IEHctpajmZ33323atGiRZbOegws2yFDhuScp5JflNL/SrarnHPJE25PPfWUknF+qa/PPvvM16+or68vtaqC5THRCspj1k4/E8198XvfP/nkk1kCHHbYYXl/OPSxlZ5nDRPN3uSJxJnYwwAMwAAMwAAMwICdDGCirR+mPfrooznjs4MOOihrDGfDh1JMpFI1kzvP9Fg33xYTLRrKxECTJ+NE5/Hjx5dc6Q8//KDatGmTFS+5QUh8kChfmGhRqpnwuko10bbbbjslTr28gh579tlnV1QFTDQ7EycSZuIOAzAAAzAAAzAAA/YygIm2fsh17733ZhkGYj5goq1/Skq08LsTrRTN6urqcvT1M9Iw0cJbAGKA9ezZM6N3EBPt22+/zfgVugXyCKc7Rp07d9a7nK2cJ+wLEy2sgik66iy2HwAAIABJREFUPqgR5obupZdecnooz9e7v5f3P//5z9WRRx6Z9f3OO+9cUUUw0exNnkiciT0MwAAMwAAMRMPAJyvfV/VTJ6nFH7yt0DQaTdExXh0x0dYPuT744APVqlWrrPEYj3MWNtFK0UwW0vOOgf0+Y6KFswDE2JJ5zNzaFjPRvv76a7XnnnuqTTbZRN10002ZhQ4nTJiQVY87No899pjafPPNVceOHdXnn39edqMx0cqWLn0H5jPRBCRZWKBly5ZZwAnEN998s9PR++67L2vfj3/8Y7VixQpnn0xi6QZ+3bp1FRMHEy3eBIUEEH1hAAaSzMDAWwaoObPqGfSvhdMkc5qGtj32yFAnl7u4T2+uJ66nVDCAibZhuPWf//xH9enTx3kMTu6csvFVyuOcok9QzXbbbbesca4e88r3tbW1SubgmjFjRlnzd0UZp1L7H+W5o6jroosuytG5mIkmZrGOh2y7dOmiVq5cqeTutJ/85CfOvh/96Edq+fLlSvyJXr16ZZWXxTjKfWGilatcCo/zM9F+9atfZcwwWV1Tbv91w3jCCSc4Pb3yyiuzvpfj9EtWA3EfI6BW6oWJxsApDYMT2ginMBAPAzKIqqutScWADwbiYQBdo9EVEy0aHeGxcjqaaKKJISMm2P/93/+pCy+8UF1xxRVKHj18/fXXHRPAb3wl81GPHTs259/SpUuzin/66ac5ZeQ4eerou+++c8rKfFTz5s1TI0aMcFagvPzyy9WgQYPUwoULs+rSH+TuIXla6a677lJ//vOfnWOk7W+99ZYukrOV8aZfe8eNG6ekvjVr1qh//etfzmOYffv2Vddcc43zfsmSJTl1ub8oxUQKqpncqSTzabnHufq9LDTgfsnqnH79ku/09Eju8vJezJ58x5R6U0op/dftkNVGJf5ys4ysMCpG1iWXXKIGDBigxowZoz7++GNdtOi2HHZ1pcKO1tW9FZPLq497/vU//elPOce1b9/e4Uc/0ilPzb3//vtq7733zikr35X7wkQrV7kUHudnosnKF+7XokWLsgBr166ds/v3v/991vcnn3xy5rDp06dn7cv3Q5s5IMI3mGiVS1ZIDNEaBmAgaQxgosFk0phMa3sw0biW0sauSSaajJ323XffvIaNGAuyAucFF1yg3n333ayRVFDzRMwSt0Hhfi9374gZts022+Qtc8oppzh3XemTv/baa2rHHXfMW/7oo49W8rid9/Xss8/mPUYetdtqq61890s/jz/+eNXQ0OCt0vkcVAcpXKys3CAixpKYiG6d3O/F4JMy8k8MSvns3u9+P3z4cN82jxw50veYzTbbTK1atcr3mHxfFuuTPk6MyqefflodccQRqkmTJr7n120XA7Fbt27qnXfe0YfnbMOwK5UV0li3w72VfurXrrvu6tt+ebxT34kmT9rlW1VVdBY9ynlhopWjWkqPEeffDaG8//LLL7N6I/8DIeC5y4nT3rZt26zv5Plw/Vq8eHHWvrffflvvin2LiUbSl7akj/bCLAxExwAmWnRawqXdWmKi2R3/NF7/pphozz33XN5Bvns8pt9774AKap4UMtHk7iN57E2fI99WjD65a+3BBx8sasBIHTLlj/dVyETLd17392KOyJ153ldQHeS4YmWbNWtWVAt3m+SGEplnLZ+G+e54+sUvfuF7HjHkSn0V65PUN3v2bNWpUyffc7r7432/7bbb+t6VFpZducvQe65in6Wf+iU39RQrX2i/3LWGiabVZFtQAe+PwvPPP59Vftq0aYFgPOqoozLHvfHGG1nHeG8fzhSM4Q0mGklfGhM/2gy3MBANA5ho0egIj+iIiQYDafsdMMFEk8fpZJ7pQgN97744TDTvOQp9lgnZC+337vO2N6yJJvVvvfXWyjveDGIi6aFosbLe8bK3T97PYqLJy/vklrucjJfdL3l81b1fv5ebWT766CN30UDvi/VJKpFHc/V5St3+5je/yWpHWHZlIYBS2yDl3SaaPA4rT9HNmTNHzZ07V82fP18tWLDAeQzaXfdZZ53l3E0nd9TpfzK3e7kGmgjBnWhZOJj/YZdddskCVtz8v/71r868aP/+97/VTjvtlLXfDaD7vSxGoJ/vlmeo3fu++eabigmJiUbSl7akj/bCLAxEx0DfvpcwJxqToDMnXgQMYKJF97vEb3xltDTBRHvmmWeyxlDu8ZTc/SNzU++///5ZTwl5Takg5okMzArdieY+b9TvZbJ39ysKE03aePrpp7urLXp3mbtwMc3KNdG8Uxy5tezRo4e7CerQQw/1jf3ZZ5+dVS7oh2J9knr8TDR52kwe7ezevbvzSLG7ze73Ur/7Cbaw7P7yl7/07b/7nH7vpR35XvJE3W233Za5XnQc5bFUmd/d7/HifHUV+x4TrZhChu3v2rVrWcD6QSw/iv3791dNmzbN1CnPHFfyhYlWmUSFhBCdYQAGYAAGYCBaBtauXla2ARjmWImj93hMtGhjy7USv54mmGi9e/fOjKHcYy2Zq8p9U4LMj3XPPfc484XFaaLJOPH6669Xhx12mG+73G2U99ttt50zEX2h8aXcNeZ+FTLRGjdurHr27Knuv/9+Z4y5ww475G2HjD9lqiL9CmIiBS3bvHnzvOf1aiCfZVEB/cqnndxxqOc58z7FpesUs0fuqCrnFaT/bhNNHiWtqanJLCqhzymrvOr2eLevvvqqLqbCsiuavfzyy+qJJ57Ie75bb73VKSPl9L+pU6dm2uB+I4sHuBdIFD1kMYott9wyU78sjCgLZ0TxwkSLQsUU1fHkk09mQPJeGN7P8lx3q1atApeX492rdlZCFky0+JMUEkE0hgEYgAEYgIHwDKxbs1w9MfIhdcxvu6gdtt/Oya9atWqpDjzw12rUU4/5GmrXX3eFOuTgA9SCeW+qFcveUQNvvkEdftghSv6HvWXLFs6x9w6+S3391Qrf43XcxDQbPOgOdeIJx6gOO60fmG6xRWu13377OHXeefsApz0X9+ldsB5dH9vwPKBhOA1NMNGuvfbavOMsuXNJjAH3S1ZAXL58ufurwHdgFbsTzT35vdzR07lz57xtkzHfzTffrKScfsmk/96xpP4s4zX9KmSi1dfX62LOVuYZK7TYwaOPPpopH8RE0oWLlZU7lmR1TDGNdB+82zfffNMp411FU4wpb1n9WUwseeWby0s0LPdVrE9SrzbRLr744ryrvcpqmLq93u2LL76YaV4U7EplYnR5z6M/jx8/PnO+Qm9GjRql5Ck5fZxsDz74YOcQuY7c34uZKQsrhH1hooVVMGXHy7PDMomeG6Z8788//3xniWP3/i222KLgsbfccktFFcFEC5eAkMChHwzAAAzAAAzEz8CiBdPVrj/bOZND7bJzB3XAAfspufNC51l33DYgx8ASw032j3/pGbXPPntlyoqJ5h40dTnyULXmi49zjpfYvj273jHL9Hlk27p1q6zj9T5MtPhZ4HqLRmMTTLRChotck3KNyzxbhRZtc/8O6OtYtg888EDWmKyQiSYTvHtfhUwSmWPK+xozZkzm98ndDnnvng+skInmflxQ13/vvffmrVemFNKvoDpI+aBlxSjz9kV/lkn6/V4yz1a+eeNkNUmZsyvf+fPdZeV3Hu93+ep0czB58mTlNsJ0HWIaCh/nnHNOwUUu3MdGwa6cP6yJJqay3MGn46K3gwcPdronix/o7/RWysuqomFemGhh1EvpsbKYgH5GWMPk3crcaLJcr7zeeustdd111zlzpwmoHTp0yIFRHx8WyFIlxUSLJhEhoUNHGIABGIABGIiPgbra9f+7f8bp3dQH783OmF0rl7+rrrziEievkicAPl+1OLNP4qFNND35eK9zz1YTxj3rGGZffPqRevjBv6lNN93UOV7uJvPG8L1FM9Xmm69/NGnrrduqEX9/QH380Tyn3OrPG1T91ElK2qRXlcNEi48Bb2z4HE5rE0w0Gfccd9xxecdVenwlg/5TTz3VMRy8Y6Ug5okcU8hEW7lypbdaNXr06LztEiPI+5oxY0be8u47zEo10cRY0jp4t2L66FdQHaR80LLlmGhS/yOPPJK3zfnG0frOKd2fUrdB++SuV1Y5lccygz555jbRpJ6w7EodYU00uUHIq6lcLw0NDU5X16xZk7N4hzwm7L2D0K1LkPeYaEFUMrCMXDSyqID3x0g+y0R/hZ4Xfvjhh32Pu/TSSyuuFCZauASEBA79YAAG0swACwvAb1r4XdawQL08pSbH5JL2r1i6SMkcSJKDvf7q+Kwy2kSTff1vuCprn+67GGOyX8wy71xnXY863Nl30EGd1fKPF/oeL/XcP/RupxwmGteU5irpW1NMNBnMX3HFFXmNHbm29T9ZIG7ZsmVZ462g5kmpJpoYX/q83q2fiSY3UnjL6c9hTLSPP/44b729evXKaBFUBzkgaNlyTTS5s6vQY6haF/dW7uwK8wraJzmHrAzqXWzQ3ZZ8770mWlh2pS1hTTSpQx57limldLu9i1nIIhR6n9woJIZv2BcmWlgFU3z8F198oeS2zoEDBzq3CssP+OOPP67E0S32evDBB9Vmm23mACkT9omBFmaZ2GLny7cfE41kL+lJHu2DURiIjwEZRNXV+hsT6B6f7mgbvbba7JLHNt36ahOtd68eWd+7y4hxtt127ZycbN7bb2TKjXl2pPOd3Kkmj5O6j/G+Z2GB6GPq1ZjP0Wpsiommxzgycbr3jho98HdvZa4y9yuoeZJWE23mzJkZA8Stg7zv169fRoqgOsgBQcuWa6LJOW6//fa87fb2Qyb5D/sK0icZq8tcdvnKyqII4gV426c/e0003eZy2ZXjC5lo+c6nz+verl27VsmjvyeeeGKOSSaPQ0vfZEFE/aSd+9hy3mOilaMaxzgKfPfdd47z655UstLSYKJFm5CQ4KEnDMBAmhjARIPXNPFaqK3du53oDFzymWjy2GWh44/ueoRz/AvPPZkpd8XlFzvfybbQsbIPE41rqRgjSdtvmokmYyi5kUFWK5SngrRx4d3Ko2puIyCfIeKeC0vqTquJJvOeeTXQn0eMGJEZegbVQQ4IWjaMiSYxCrrK58iRIzP9KPdNkD7985//9NVSpguQOe3kJSuean2920KmVjnsyvkKmWjy9FtSX5hoSY0M7QqkACYaSV/SkjraA5MwUDkGMNEqpzVcR6f1JyvfVw8Mu0ed1/tPSh6zbNNmy8zEyOWaaOf2/KMz8Bn5j+EZw0wba08+/nDmu3xxxESLLr75NOb7aDU2wUSTeaeHDBmi5C4a90tuVLjqqqvymhmvvfZapngQ80QKp8FEk9Uw3S+ZvL9ly5Z5dZg+fXqmeFAd5ICgZcOYaHIeeVLLa0R5P++4446BngLLdDTPmyB9+sMf/uDbnrvuuitTayETTVbB1K8o2JW6ZM4yMYa9usjn3XffXckKrfISU1LmmpPHNocOHaqbUbUtJlrVpE/GiRctWqTuvPNOdeaZZzr/69G2bVslk+3J5IZXXnmls4JIMlrq3wpMtGgTEhI89IQBGEgTA5ho8JomXv+74j114QXnqObN10+HsckmmyhZpfPQ3xyk2rXbxhlElGuiyVxmMuhwm2g7/3Qn57t/vT4RE20t10qarpUgbTXBRNOPzm277bbq7rvvdhZzk/m0ZJXKAQMG+BoLcp2LIaZfQcwTKZsGE036dtRRRykxdS655BK1+eab59XggAMO0BI426A6SOGgZcOaaIsXL85agVn65/0njyBG8QrSp3wLCLhNtNra2pw26jZfffXVSrwDMdCiYFf3W/jX5/Db6oVv9L5BgwbpQ6u2xUSrmvTVPbH8D4dcMMVW6RRYxbX2W3K4uj1Yf3ZMNJLCIIkWZeAEBsxkgIUFzIyriderLCyw6892dgYK22yzlfrLnTcr+U73NezjnH4m2iEHH+Cc74mRD2XOo8/n3XInGteSl4mkfzbJRNPmgGzFDMl3Z47sb9y4sVq1alVmGBbEPJHCaTHR3FoUei9mj/sVVAc5JmjZsCaanMs9qb23P23atFFfffWVuxtlvw/Sp3xmldxEIzfP9OjRI7NSs7et7s9y84020dzfSxtKYVd39sgjjyxoornPIe8x0bRybCuqwOrVq9Wvf/3rkmCV2ylXrFhR0XYGORkmGklf0pM82gejMAADMAAD+nHLjnvspt5/Z1aOqRWHidbnol5OrsecaPBn4m+QqSaa1zDwfj711FOzhkhBzBM5wCQTrVu3blkayIegOpRSNgoTrZDuMsl/VK8g/Rd2vDyV8zmfiVasLi+7uu91dXUltQsTTSvHtqIKXHPNNSWBqi+IY489tqLtDHIyTDQSQxMTQ/oE1zAAAzBgFgPt269/XOW1V8blGGgS6zhMtEceus/J9+Tx0XcXvuV7Xs0Zd6KZxZuOq8lbG020jh07qs8++yxriBTEPJEDCpk5K1euzKpTPtTX1+cdLy5YsCCn/MKFC/OWl7r069lnn81bTo85823lLqcbbrhB+S1qF1QHaUfQslGYaH369PHtryw68Mknn2hZQm+D9EnmmNtyyy1926M1l3qKlSnHRPNj193p8847r2C7dPtki4nmVo73FVFg/vz5qkmTJoEhdQMr7+XWzSS9MNFI+kxMEIfcc6e66cZr1aQJYwoOej54b7ZTTsouWTy3YNlxNaOcsvfd+5eC5UzUkz7xOwEDMFBNBr76cqmTd8m8LuvWLPf9Df7t0esfZ4lyTjQ57y9/0dE59+GHHaI+X7XY99yiDSYa10g1r5Fyzm2CiSbT67z88svqsssuU7vsskve8Vn79u2VzJ0l86V5X02bNvU9TiZhd78mTZrkW06MKffjofoYmbTfOw7Un9977z1dLLN9//3385Z3LwBQyEQbOHCgateuXU49W2+9tfrd736nXnjhhcz5vG+C6iDHBS07c+bMnLZoDWRMXewl5qSsfKmPcW9l0YEoX0H7NGvWLHXggQfm+AGbbbaZOvzww9W0adOUxFceNXW3V95vv/326oorrlBz585VUbDr7b+sELrbbrv5PhLaunVrdcopp6innnrKWYzAe2ylPzMnWqUVr/L5TjrppJwLwnuBFPp8xBFHVLkH2afHRCPpKyfxSvoxW221/g+XzHFTqK2TJzyXuZ7z3d2gj+917tlO2R22365gnbo8W64tGIABGIiOgZ922NH5DfbOTyaLDZx5RvfMb/kLzz2pRj8zQt3Y72rnt/qY33Zx9tVPnVTwt9tvTjSJ3xv1tZk5bn62y0/Vqy+/lFPPqKcecxY4kPyv2N8dmIiOCbQMp6UJJlr2qEapdevWOasRTp061blzTAwP751n3mPS9rmQiSZzcP/www9q3rx5SuY8Gz9+vGpoaEhbFzPtvf766zO/7e7xtSwqs2TJkky5aryRFWFlldeJEyeqDz/80NHd3Q6Zq+2VV17JcOhntLrLR8muTD0lZt7YsWPVjBkznJU53edKwntMtCREoYJtyDehoPwvhCyxK3OldejQIZNwuS94eS+3eC5durSCLS58Kky0cAkICVwy9cNES2ZcuF6SFxcWFkheTLhO/GMyeNAdmcHU/vt3Uv1vuEr98czTlP6933TTTZ39rVu3crZn//H3kZhoEg8x5dq02fAIz7bbbq26HnW480+vCqrzPUw0//jBdfJ0MdFEKzzqMWNvMRPNjF4q9cUXX6h8q2HKBP680q0AJlq641dS6+Vi1kmSeytLCYvj737JLbn5Jh+cMGGCu2hV32OiJS+pIdEMHxM9qLm074U5dwy49a2rHZu5povdpXDB+T2dsnI3hLsO3oePFxpWT0MZRNXV1sD02urFAP6Da3/LTddnPUYk/zHZufO+6pW6Gme1TsnNZOW9yy/ro7749COH6+N/91vnt3vaG3UFOZe/F3L8P594xLecPPL/+9NOVltu+ZPM3w0pL4+YynxsYurJ52J/d4h38HijVbxaYaJVdQhW9sltMdH+8pe/ZP3Wyu+r/JMbV7zj7rLF5MCqKYCJVjXpK39iuS1SX8B6K8/fr1mzxrcx3377re8qno899phv+Wp8iYkWb4JCAoi+MAADSWYAEw0+k8ynX9tW/fcDJY/fy2OVn33yYcbwkrnS6ia/qFYseyfznd/xUXwnq4PK3Gv/mfm6WvPFx7GfL4o2UwfXupcBTLRqjLzCn9MGE00ebcz39NcJJ5wQXkRqqLoCmGhVD0HlGiCLAmjzTG9lxZBCr1tvvTXnmNtvv73QIRXdh4lGUuVNqvgMEzBgDwOYaPbEmuuaWMMADLgZwESr6JArspPZYKINHz48Z/ysx97ulUojE5WKKq4AJlrFJa/eCWU1C30B623v3r0LNqh///45x9x1110Fj6nkTkw0Eip3QsV7eIABuxjARLMr3lzfxBsGYEAzgIlWyRFXdOcy3UT7/vvv8660esghh0QnJDVVVQFMtKrKX9mTywov2jzTW1kyePny5b4NkdVg/JZbHjFihG/5anyJiUYypZMptrAAA/YxMPCWAWrOrHoeR2NONBiAARiwjAFMtGqMvMKf03QT7emnn84Zb+tx90svvRReQGpIhAKYaIkIQ2UaIUvVymSG+kLW244dO6oxY8YoWepWXvIct1zke++9d05ZOWby5MmVaXCAs2Ci2Tdoxigh5jAAAzAAAzAAAzBgNwOYaAEGSgksMn36dHXiiSfm/DvllFPU119/ncAWl9akIUOG5PRN+nvuueeWVhGlE60AJlqiwxN943bccUdfY0wbai1atPA12vT+Jk2aqFWrVkXfsDJrxESzO4EigSb+MAADMAADMAADMGAfA5hoZQ6eOAwFUCC0AphooSVMVwXnnHNOQRNNm2X5tuKkJ+mFiWZf0kSiTMxhAAZgAAZgAAZgwG4GMNGSNCKjLShglwKYaHbFW61YsUK1atWqbCNt/PjxiVIME83uBIoEmvjDAAzAAAzAAAzAgH0MYKIlakhGY1DAKgUw0awK9/rO/u1vfyvLROvVq1fi1MJEsy9pIlEm5jAAA5oBGUTV1dYwobhlE4rr+LPltwAG7GUAEy1xwzIahALWKICJZk2oN3RUlt7t2bNnSUZaly5d1OrVqzdUkpB3mGj2Jk8kzsQeBmAAEw0G+B2AARiwkwFMtIQMxmgGClioACaahUHXXa6pqVHt2rUraKY1b95cDRgwQInxlsQXJpqdiRMJM3GHARgQBjDR4IDfAhiAATsZwERL4siMNqGAHQpgotkR57y9/Pzzz9Vzzz2nBg4cqE477TTVqVMndfTRRyt5dPPhhx9WX375Zd5jk7ADE83OxImEmbjDAAwIA5hocMBvAQzAgJ0MYKIlYSRGG1DATgUw0eyMuzG9xkSzM3EiYSbuMAADwgAmGhzwWwADMGAnA5hoxgzn6AgKpE4BTLTUhaxyDb7yyivVQQcdlPNv4cKFlWtEkTNhotmZOJEwE3cYgAFhYNjQwWrOrHoWFmBhARiAARiwjAFMtCKDJHajAArEpgAmWmzSpr/iY445xne+tBkzZiSmc5hoDKQxU2AABmAABmAABmAABuxiABMtMcMxGoIC1imAiWZdyIN3GBPNrmSE5JN4wwAMwAAMwAAMwAAMpIEBTLTgYzpKogAKRKsAJlq0ehpVGyYaSVQakijaCKcwAAMwAAMwAAMwYBcDmGhGDTvpDAqkSgFMtFSFq7KNxUSzKxkh+STeMAADaWNgacMC5kGybB6ktDFKe/ldhYF4GMBEq+y4kLOhAApsUAATbYMWvPMogIkWzx99kil0hQEYgIFoGJBBVF1tDUYaRhoMwAAMWMYAJppn4MZHFECBiimAiVYxqdN3Iky0aAZ5DJbREQZgAAbiYQATLR5d4RVdYQAGks4AJlr6xpa0GAVMUQATzZRIxtAPTDQSqKQnULQPRmHAbgYw0eyOP9c/8YcBexnARIth8EeVKIACgRTARAskk52FMNHsTUxISok9DMBAGhjARIPTNHBKG+EUBqJnABPNzvEpvUaBJCiAiZaEKCS0DZho0f/BJ4lCUxiAARiIjgFMtOi0hEu0hAEYSBMDmGgJHUDSLBSwQAFMNAODvHr1alVfXx/63/7776822mijnH8zZsxIjGr//e9/lfwRnTOrngllLZtQNk2JHm1lYAID8TAwbOhgfv/57efvPwzAgIUMYKIlZjhGQ1DAOgUw0QwM+bRp03KMLz8zrNzvMNHiGQwyyEZXGIABGIABGIABGIABGCjOACaagYNYuoQCKVEAEy0lgSqlmZhoxf/wkpygEQzAAAzAAAzAAAzAAAykkwFMtFJGh5RFARSIUgFMtCjVTEhdmGjpTAZI4ogbDMAADMAADMAADMAADBRnABMtIQNPmoECFiqAiWZg0G000S666ELVt+8lmX+jnh6ZNT/G0oYFmX3llKurrcmqT+Zgc9ej33vnZpPj9D73Nmg5abc7kZJ+uevR791l5L3ME6T3ubfllht4y4Cc+uQ7b33uc+n3QctJm4PUR2yJbVAGuG7Nv271byS/yZeooL+1Qcvxm8zf26C/tUHL8Zts/m+yzuMq8ZssJtrIkSMNHMnRJRRAgaQrgImW9AiV0T6bTLSFCxc6Cwvcf/8QJUmc/uc1qWSgpfe5t+WWk+Pc9ej3ekDnTiL0Pvc26nL6fHoriar7fPq93q+3fuW8Sa6UDVpOn8e99avPvV+/LzcWxHY99zqmehs0ZkHL6Ti5t8Q23O+AjpXe+sVC9Nb79davnF8sgpZzx1S/96tP73Nvq33dyiBK2spv8khHB82I3rpjpd+nJba6D8SW2FaKAc2c3vr9hsp1pPfrrV85v+ssaDl9rbq3fvW59+v31f5N1ppUImaYaGUMEjkEBVAgEgUw0SKRMVmV2GSisTpn8dvddULDFq1gAAZMY0CbaKb1i/5wrcIADMBAYQbk93/06NHJGoTRGhRAASsUwEQzMMxxm2izZ89OjGqcGEOQAAAUj0lEQVSYaIUTDBIw9IEBGDCZAUw0+DaZb/oG3zCQnwFMtMQMx2gIClinACaagSH/4Ycf1JIlS2L7lyTJMNHyJxckXmgDAzBgOgOYaDBuOuP0D8ZhwJ8BTLQkjchoCwrYpQAmml3xNq63mGj+iQUJF7rAAAzYwAAmGpzbwDl9hHMYyGUAE824YR0dQoHUKICJlppQ0VA/BTDRcpMKEi00gQEYsIUBmUzbO5G2LX2nn1znMAADNjOAieY3MuI7FECBSiiAiVYJlTlHbApgopFA2pxA0nf4hwEYgAEYgAEYsJEBTLTYhldUjAIoUEQBTLQiArE72QpgopE42pg40me4hwEYgAEYgAEYsJkBTLRkj9FoHQqYrAAmmsnRtaBvmGgkkDYnkPQd/mEABmAABmAABmxkABPNgoEeXUSBhCqAiZbQwNCsYApgopE42pg40me4h4H1DMh8aEsbFij04JqAARiAAbsYwEQLNlaiFAqgQPQKYKJFryk1VlABTDS7EiYSZOINAzDgZkAGUXW1NZhoa+HCzQXv4QEGzGcAE62CAy5OhQIokKUAJlqWHHxImwKYaOYnSSTCxBgGYCAfA5hosJGPDb6HDRgwmwFMtLSN2mgvCpijACaaObG0sieYaGYnSCTAxBcGYKAQA5ho8FGID/bBBwyYywAmmpVDPzqNAolQABMtEWGgEeUqgIlmbnJE4ktsYQAGijGAiQYjxRhhP4zAgJkMYKKVO3riOBRAgbAKYKKFVZDjq6oAJpqZiREJL3GFARgIwgAmGpwE4YQycAID5jGAiVbVIRgnRwGrFcBEszr86e88Jpp5SRGJLjGFARgIyoAsKsDqnPASlBfKwQoMmMMAJlr6x3H0AAXSqgAmWlojR7sdBTDRzEmGSGyJJQzAAAzAAAzAAAzAQBAGMNEYDKIAClRLAUy0ainPeSNRABONRCtIokUZOIEBGIABGIABGIABcxjARItkKEUlKIACZSiAiVaGaBySHAUw0cxJhkhsiSUMwAAMwAAMwAAMwEAQBjDRkjMeoyUoYJsCmGi2Rdyw/mKikWgFSbQoAycwYCYDzIlmZly5XokrDMBAMQYw0Qwb1NEdFEiRAphoKQoWTc1VABONJKtYksV+GIEBcxmQQZQYacTY3BgTW2ILAzDgxwAmWu64iG9QAAUqowAmWmV05iwxKYCJRmLll1jxHVzAgB0MYKLZEWeuZ+IMAzDgZQATLabBFdWiAAoUVQATrahEFEiyAphoJFXepIrPMAED9jCAiWZPrLmuiTUMwICbAUy0JI/QaBsKmK0AJprZ8TW+d5hoJFTuhIr38AADdjGAiWZXvLm+iTcMwIBmABPN+GEeHUSBxCqAiZbY0NCwIApgopFM6WSKLSzAgH0MYKLZF3Ouc2IOAzAgDGCiBRkpUQYFUCAOBTDR4lCVOiumACYaiRTJNAzAgL0MsDqnvbHnuif2MGA3A5hoFRtucSIUQAGPAphoHkH4mC4FMNHsTqBIoIk/DMAADMAADMAADNjHACZausZstBYFTFIAE82kaFrYF0w0+5ImEmViDgMwAAMwAAMwAAN2M4CJZuHAjy6jQEIUwERLSCBoRnkKYKLZnUCRQBN/GIABGIABGIABGLCPAUy08sZOHIUCKBBeAUy08BpSQxUVwESzL2kiUSbmMAADmgHmRIMFzQJbWIABuxjARKviAIxTo4DlCmCiWQ5A2ruPiWZXwkSCTLxhAAbcDMggSow093e8hxEYgAEYMJ8BTLS0j+JoPwqkVwFMtPTGjpYrpTDRzE+SSISJMQzAQD4GMNFgIx8bfA8bMGA2A5hoDAVRAAWqpQAmWrWU57yRKICJZnaCRAJMfGEABgoxgIkGH4X4YB98wIC5DGCiRTKUohIUQIEyFMBEK0M0DkmOApho5iZHJL7EFgZgoBgDmGgwUowR9sMIDJjJACZacsZjtAQFbFMAE822iBvWX0w0MxMjEl7iCgMwEIQBTDQ4CcKJCWW+/mpF6Ln/1q1ZHroOE7SkD2b8bmCiGTaoozsokCIFMNFSFCyamqsAJpoZiRAJLXGEARgoh4E5s+rV0oYFGANr4accfpJ8jJhmDw4forqdeoLa9Wc7q2bNmqm2bduoLkceqq695jK1YukiX+5vuvFadcjBB6jZs6Y6+z/68G111pmnqVatWqpNN91UHXvMUWrmjFd9j02yHrSNa9zLACZa7riIb1AABSqjACZaZXTmLDEpgIlGUuVNqvgMEzAAAzAAA2lm4P13ZqkjDv+N2mijjTL/WrTYXDVq1Cjzedttt1ZjX3gqxww7+aTjnDJ1tWPV3Dn/VlJO6mnSpEnm2KZNm6pnnv57zrFp1oy223fNY6LFNLiiWhRAgaIKYKIVlYgCSVYAE82+pIlEmZjDAAzAAAyYysDSJfOdO87E+GrZsoUadv8g9cF7sx3Da9V/P1ATxj2rfrHnHhlD7Ol/PpplhmkT7dlR/1Dt22/rmGgvPv9PJXe2vfnvKepXe+3pHDvyH8OzjjNVT/pl7m8FJlqSR2i0DQXMVgATzez4Gt87TDRzkyMSX2ILAzAAAzBgGwOndT/JMbl+3nF39d6imb5G1+rPG9Sfzj7dKbfVVm2yHu3UJtpPfrKFY8YtmPdmVh1ffrbEeUzUNl3pr3m/JZhoxg/z6CAKJFYBTLTEhoaGBVEAE828pIhEl5jCAAwEZWDU0yOZE4350LJMoqDsJLHc5AnPOcbYxhtvrN6ory3YLzHDdtm5g1O+z0W9MmW1iSZ3sr08pSbzfRL7S5v4rQ/DACZakJESZVAABeJQABMtDlWps2IKYKKRgIVJwDgWfmAg3QzIIKquFqMAjtPNsY7fjf2udkyxnj3OCGR+jX5mhFN+r1/+PFNem2iX9r0w852un60ZnBDH9XHERKvYcIsToQAKeBTARPMIwsd0KYCJRkJIMgkDMGAvA5ho9sbexOteG2APDLsnkAG2rGGBY6LJogFrVy9zjtF1yMICJmpEn7jmNQOYaOkas9FaFDBJAUw0k6JpYV8w0UimdDLFFhZgwD4GMNHsi7nJ17nMgyaPYU6Z9EJgA6x161bOMXruM0w0rgmTrxF33zDRLBz40WUUSIgCmGgJCQTNKE8BTDSSRXdCxXt4gAG7GMBEsyvepl/fXY481DHEnhj5UCAT7YtPP1Iyf1qjRo3UZ598yJ1ozA8YiBtTriNMtPLGThyFAigQXgFMtPAaUkMVFcBEYwBlSjJIP2AZBkpnABOtdM3gLLmaXXbpRY6Jds3VlwYyQ/71+kSn/E877Jgpz51oyY0v1160scFEq+IAjFOjgOUKYKJZDkDau4+JFm1CQoKHnjAAA2liYGnDgox5kKZ201auMz8GRvz9AccU22KL1urjj+YVZfu4Y7s65U895fhMWUw02PJjy8TvMNHSPoqj/SiQXgUw0dIbO1qulMJEI1k0MTEccs+d6qYbr1WTJozJDIz8+vnBe7OdclJ2yeK5BcuOqxnllL3v3r8ULOd3Hr7jOoMBGICB+Bn46sulSlbalHnRxAzTiwX4af/ow/c55TbZZBM1c8armd91TLT44+QXD76rvO6YaAwFUQAFqqUAJlq1lOe8kSiAiVb5pIVEMX7Nt9qqjTM4urhP78zAyE/3yROec8rJgOu1V8YVLNvr3LOdsjtsv13Bcn7n4bv4Y47GaAwDMCAMTHujTjVu3Nj5vd5vv33UvLffyPrNlnnQ+lzUK/Pbf2O/q7P2Y6LBkS2/JZhokQylqAQFUKAMBTDRyhCNQ5KjACYayaKJySImGlybyDV9gmsYCMbA6GdGqDZttnSMMlk04Ge7/FTJogOdOu2tmjVrlvn+8sv6KLl7za0rJlowjd2a8T6dmmGiJWc8RktQwDYFMNFsi7hh/cVES2fiQ8JaOG7t2m3jDJIu7Xth1uDIq1td7djM3Qj1UycVLHvB+T2dsu4JqL318blwXNAnefoMGzpYzZlVX5B94pa8uBGT4jFZumS+OvOM7hkzTe44ln9ionXuvK96eUqNL/fdu53olCt2dzIxKB4DNEq2Rphohg3q6A4KpEgBTLQUBYum5iqAiZbsBIcElPjAAAzEyYAMoupq/c2EOM9L3XBdSQY+fH+Omjh+tPrPzNcLzpNWyTZxLq6BajOAiZY7LuIbFECByiiAiVYZnTlLTApgopHEVTuJ4/wwCAPVYwATrXrawz3awwAMVJMBTLSYBldUiwIoUFQBTLSiElEgyQpgopHAVTOB49zwBwPVZQATrbr6wz/6wwAMVIsBTLQkj9BoGwqYrQAmmtnxNb53mGgkb9VK3jgv7MFA9RnARKt+DLgOiAEMwEA1GMBEM36YRwdRILEKYKIlNjQ0LIgCmGgkbtVI3Dgn3MFAMhjAREtGHLgeiAMMwEClGcBECzJSogwKoEAcCmCixaEqdVZMAUw0krZKJ22cD+ZgIDkMLG1Y4LtCITFKToyIBbGAARiIgwFMtIoNtzgRCqCARwFMNI8gfEyXAphoJGZxJGbUCVcwAAMwAAMwAAMwkFwGMNHSNWajtShgkgKYaCZF08K+YKIlN7kh8SQ2MAADMAADMAADMAADcTCAiWbhwI8uo0BCFMBES0ggaEZ5CmCikZjFkZhRJ1zBAAzAAAzAAAzAQHIZwEQrb+zEUSiAAuEVwEQLryE1VFEBTLTkJjcknsQGBmAgbgaGDR2s5syqZ160tbAWN2vUD2MwkCwGMNGqOADj1ChguQKYaJYDkPbuY6IlK6EhwSQeMAADlWRABlF1tTWYaJhoMAADMGAZA5hoaR/F0X4USK8CmGjpjR0tV0phojFgr+SAnXPBGwwkiwFMtGTFg+uDeMAADFSKAUw0hoIogALVUgATrVrKc95IFMBEI1mrVLLGeWANBpLHACZa8mLCdUJMYAAGKsEAJlokQykqQQEUKEMBTLQyROOQ5CiAiUaiVolEjXPAGQwkkwFMtGTGheuFuMAADMTNACZacsZjtAQFbFMAE822iBvWX0w0krS4kzTqhzEYSC4DmGjJjQ3XDbGBARiIkwFMNMMGdXQHBVKkACZaioJFU3MVwEQjQYszQaNu+IIBGIABGIABGICB5DGAiZY7LuIbFECByiiAiVYZnTlLTApgoiUvqSHRJCYwAAMwAAMwAAMwAANxMoCJFtPgimpRAAWKKoCJVlQiCiRZAUw0ErQ4EzTqhi8YgAEYgAEYgAEYSB4DmGhJHqHRNhQwWwFMNLPja3zvMNGSl9SQaBITGIABGIABGIABGICBOBnARDN+mEcHUSCxCmCiJTY0NCyIAphoJGhxJmjUDV8wkGwGBt4yQM2ZVa+IU7LjRHyIDwzAQNQMYKIFGSlRBgVQIA4FMNHiUJU6K6YAJhpJWdRJGfXBFAykhwEZRNXV1mCirU1PzLi+iBUMwEAUDGCiVWy4xYlQAAU8CmCieQThY7oUwEQjEYsiEaMOOIKBdDKAiZbOuHG9ETcYgIGwDGCipWvMRmtRwCQFMNFMiqaFfcFEIwkLm4RxPAzBQHoZwERLb+y47ogdDMBAGAYw0Swc+NFlFEiIAphoCQkEzShPAUw0ErAwCRjHwg8MpJsBTLR0x4/rj/jBAAyUywAmWnljJ45CARQIrwAmWngNqaGKCmCikXyVm3xxHOzAQPoZ6Nv3EuZEYz405sSDARiwkAFMtCoOwDg1CliuACaa5QCkvfuYaOkfBGNkEEMYgAEYgAEYgAEYgIFSGMBES/sojvajQHoVwERLb+xouVIKE42Eq5SEi7LwAgMwAAMwAAMwAAPpZwATjaEgCqBAtRTARKuW8pw3EgUWLVqkevTowT80gAEYgAEYgAEYgAEYgAGLGLj99tsjGU9QCQqgAAqUogAmWilqUTZxCoiJJn9AH3/8cTVmzBj+oQEMwAAMwAAMwAAMwAAMGM6A5P/jx49P3NiEBqEACpivACaa+TGmhyiAAiiAAiiAAiiAAiiAAiiAAiiAAiiAAiEVwEQLKSCHowAKoAAKoAAKoAAKoAAKoAAKoAAKoAAKmK8AJpr5MaaHKIACKIACKIACKIACKIACKIACKIACKIACIRXARAspIIejAAqgAAqgAAqgAAqgAAqgAAqgAAqgAAqYrwAmmvkxpocogAIogAIogAIogAIogAIogAIogAIogAIhFcBECykgh6MACqAACqAACqAACqAACqAACqAACqAACpivACaa+TGmhyiAAiiAAiiAAiiAAiiAAiiAAiiAAiiAAiEVwEQLKSCHowAKoAAKoAAKoAAKoAAKoAAKoAAKoAAKmK8AJpr5MaaHKIACKIACKIACKIACKIACKIACKIACKIACIRXARAspIIejAAqgAAqgAAqgAAqgAAqgAAqgAAqgAAqYrwAmmvkxpocogAIogAIogAIogAIogAIogAIogAIogAIhFcBECykgh6MACqAACqAACqAACqAACqAACqAACqAACpivACaa+TGmhyiAAiiAAiiAAiiAAiiAAiiAAiiAAiiAAiEVwEQLKSCHowAKoAAKoAAKoAAKoAAKoAAKoAAKoAAKmK8AJpr5MaaHKIACKIACKIACKIACKIACKIACKIACKIACIRXARAspIIejAAqgAAqgAAqgAAqgAAqgAAqgAAqgAAqYrwAmmvkxpocogAIogAIogAIogAIogAIogAIogAIogAIhFcBECykgh6MACqAACqAACqAACqAACqAACqAACqAACpivACaa+TGmhyiAAiiAAiiAAiiAAiiAAiiAAiiAAiiAAiEVwEQLKSCHowAKoAAKoAAKoAAKoAAKoAAKoAAKoAAKmK8AJpr5MaaHKIACKIACKIACKIACKIACKIACKIACKIACIRXARAspIIejAAqgAAqgAAqgAAqgAAqgAAqgAAqgAAqYrwAmmvkxpocogAIogAIogAIogAIogAIogAIogAIogAIhFcBECykgh6MACqAACqAACqAACqAACqAACqAACqAACpivACaa+TGmhyiAAiiAAiiAAiiAAiiAAiiAAiiAAiiAAiEV+H9mGnDuiaagJQAAAABJRU5ErkJggg=="
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Order of Simplification / Precedence\n",
-    "- Expressions are evaluated using operator precedence ordering\n",
-    "Ordered from highest to lowest precedence.\n",
-    "\n",
-    "<div>\n",
-    "<img src=\"attachment:image.png\" width=\"600\"/>\n",
-    "</div>\n",
-    "\n",
-    "- Additional rules:\n",
-    "    1. First work within parentheses\n",
-    "    2. Do higher precedence first\n",
-    "    3. Break ties left to right (exception: exponent ** operator)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3.0"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Let's try 9 ** (1/2)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-25\n",
-      "-25\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's try these two expressions.\n",
-    "print(- 5**2)\n",
-    "print(-(5**2))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "EXCEPTION: Rule 3 changes when expression contains exponent operator. When there are two exponent operators, tie should be broken right to left!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "8.0"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Let's try this expression.\n",
-    "2 ** 9**(1/2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "7"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Unary signs. What is 3 - -4?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-1"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# TODO: Unary signs. What is 3 + -4?\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Strings\n",
-    "Strings are the *text* of Python. They are enclosed in `''` or `\"\"` (but don't mix and match them!)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'hello world'"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Displaying a string shows the quotations\n",
-    "'hello world'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "hello world\n",
-      "hello world\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Printing a string always removes the quotations\n",
-    "print('hello world')\n",
-    "print(\"hello world\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "A string can contain special escape characters that start with \\\n",
-    " - `\\n` is for a newline character\n",
-    " - `\\t` is for a tab character\n",
-    " - `\\'` is for a literal single quotation mark\n",
-    " - `\\\"` is for a literal double quotation mark\n",
-    " - `\\\\` is for a literal slash"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hey \"Carl\"!\n",
-      "Hey \"Carl\"!\n"
-     ]
-    }
-   ],
-   "source": [
-    "# TODO: Write code to print the following message:\n",
-    "# Hey \"Carl\"!\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hello\tstudents.\n"
-     ]
-    }
-   ],
-   "source": [
-    "# TODO: Write code to print the following message (Notice the tab space before students):\n",
-    "# Hello    students.\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hello everyone!\n",
-      "\tSee you later!\n"
-     ]
-    }
-   ],
-   "source": [
-    "# TODO: Write code to print the following message:\n",
-    "# (Notice the newline after everyone! and tab space before See):\n",
-    "\n",
-    "# Hello everyone!\n",
-    "#    See you later!\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### String operators\n",
-    "- concatenation (+)\n",
-    "- replication (*)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hello CS220 / CS319 students.\n",
-      "ha ha ha ha ha ha ha ha ha ha \n"
-     ]
-    }
-   ],
-   "source": [
-    "print('Hello' + ' ' + 'CS220 / CS319 students.') # concatenation\n",
-    "print('ha ' * 10) # replication"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Can you multiply strings: \"3\" * \"4\"?\n",
-    "# \"3\" * \"4\" # Does not work"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Booleans\n",
-    "Booleans are the logic of `True` and `False` (case matters in Python!). \n",
-    "We can evaluate whether a statement is `True` or `False` using comparison operators.\n",
-    "\n",
-    "#### Comparison operators\n",
-    "- equal to (`==`)\n",
-    "- not equal to (`!=`)\n",
-    "- lesser than (`<`)\n",
-    "- lesser than equal to (`<=`)\n",
-    "- greater than (`>`)\n",
-    "- greater than equal to (`>=`)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "True\n",
-      "True\n",
-      "True\n",
-      "True\n",
-      "False\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's try out some comparison operators for numbers\n",
-    "print(3 == 3)\n",
-    "print(1 != 3)\n",
-    "print(3 < 5)\n",
-    "print(5 <= 5)\n",
-    "print(-3 > -5)\n",
-    "print(3 >= 4)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "False\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Weird rule: upper case alphabets come before small case alphabets. Try these comparisons.\n",
-    "print(\"A\" < \"B\")\n",
-    "print(\"a\" < \"B\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# You can also compare types.\n",
-    "type(2) == type(2.0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What happens when you try \"1\" < 2?\n",
-    "# \"1\" < 2 # Does not work! Cannot meaningfully compare text with number"
-   ]
-  },
-  {
-   "attachments": {
-    "truth_tables.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Boolean Operators\n",
-    "\n",
-    "<div>\n",
-    "<img src=\"attachment:truth_tables.png\" width=\"600\"/>\n",
-    "</div>\n",
-    "\n",
-    "#### Truth Table - Not\n",
-    "The `not` operator flips the value of the boolean.\n",
-    "\n",
-    "#### Truth Table - And\n",
-    "The `and` operator requires both booleans to be `True` in order to be `True`, otherwise it is `False`.\n",
-    "\n",
-    "#### Truth Table - Or\n",
-    "The `or` operator requires *atleast* one of the booleans to be `True` in order to be `True`, otherwise it is `False`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "False\n",
-      "False\n",
-      "True\n",
-      "True\n",
-      "False\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's try out these expressions.\n",
-    "print(not False)\n",
-    "print(not True)\n",
-    "print(False and True)\n",
-    "print(True or False)\n",
-    "print(not True or True)\n",
-    "print(not (True or True))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "False\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's use boolean operators to compound comparisons\n",
-    "print(5 < 3 or 10 > 5)\n",
-    "print(5 < 3 and 10 > 5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "False\n",
-      "True\n"
-     ]
-    }
-   ],
-   "source": [
-    "# TODO: Write and print expressions for the following.\n",
-    "\n",
-    "# Is 7 greater than 8 and 7 less than 6?\n",
-    "\n",
-    "# Is 1 not equal to 2, but greater than -12?\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### What happens when you encounter an error?\n",
-    "- as soon as you run into an error in a line, execution of that cell terminates\n",
-    "- none of the lines below the line with error will execute\n",
-    "- go to view click Toggle Line Numbers."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.5\n",
-      "1.0\n"
-     ]
-    },
-    {
-     "ename": "ZeroDivisionError",
-     "evalue": "division by zero",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m/var/folders/k6/kcy8b4f57hx9f1wh4sbs8mn40000gn/T/ipykernel_36068/1855220290.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# <--- clearly we cannot divide 1 by 0!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's try these expressions\n",
-    "print(1 / 2)\n",
-    "print(1 / 1)\n",
-    "print(1 / 0) # <--- clearly we cannot divide 1 by 0!\n",
-    "print(1 / -1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Other References\n",
-    "You may find [this resource](https://www.w3schools.com/python/python_operators.asp) to be helpful. It has more than you need to know!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/lec_04_Operators-checkpoint.ipynb b/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/lec_04_Operators-checkpoint.ipynb
deleted file mode 100644
index 0e6b39ca78617229cf21e880703fba48cec8f3bb..0000000000000000000000000000000000000000
--- a/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/lec_04_Operators-checkpoint.ipynb
+++ /dev/null
@@ -1,1032 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Operators"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Learning Objectives\n",
-    "After this lecture you will be able to...\n",
-    "- Recognize examples of different Python data types: int, float, str, bool\n",
-    "- Explain the different behavior of the /, //, and % operators\n",
-    "- Evaluate numeric expressions containing mathematical operators using correct precedence\n",
-    "- Determine the correct order of operations in Python\n",
-    "- Evaluate string expressions containing string operators and escape characters\n",
-    "- Evaluate expressions containing comparison operators\n",
-    "- Evaluate boolean expressions that contain the operators \"and\", \"or\", \"not\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Jupyter notebook terminology\n",
-    "- input cell\n",
-    "- cell execution (using shift + enter)\n",
-    "- if many lines of code are entered, the last line is displayed\n",
-    "- print(...) enables you to display output from all the lines"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Mathematical operators\n",
-    "- addition (+)\n",
-    "- subtraction (-)\n",
-    "- multiplication (*)\n",
-    "- division (/)\n",
-    "- integer division (//)\n",
-    "- modulo / modulus (%)\n",
-    "- exponent (**)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If multiple lines of code are entered, **only the last line** is displayed."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2.0"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Enter four expressions such as 1 + 2 in each line. Try to use +, -, *, and /.\n",
-    "1+2\n",
-    "2*3\n",
-    "6-3 \n",
-    "10/5"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "However, **every print statement** is displayed. \n",
-    "\n",
-    "**print** is an example of a function. In a couple of lectures we will learn what functions are. For now you can just use the functions that we introduce in this lecture."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "6\n",
-      "3\n",
-      "2.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Enter the same four expressions and add print() around some or all of the expressions\n",
-    "print(1+2) # print ensures that computation gets displayed\n",
-    "print(2*3)\n",
-    "print(6-3)\n",
-    "print(10/5)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Data Types\n",
-    "- int (ex: 1, 5, 20, 41)\n",
-    "- float (ex: 1.0, 1.5, 5.678)\n",
-    "- str (ex: \"hello\", 'cs220')\n",
-    "- bool (ex: True, False)\n",
-    "\n",
-    "**type** function enables you to determine the data type"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'int'>\n",
-      "<class 'float'>\n",
-      "<class 'str'>\n",
-      "<class 'bool'>\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(type(2))\n",
-    "print(type(4.5))\n",
-    "print(type(\"hello\"))\n",
-    "print(type(True))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can specify an expression inside the parenthesis, instead of just a data value."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'float'>\n"
-     ]
-    }
-   ],
-   "source": [
-    "# What is type(3 * 1.5)?\n",
-    "print(type(3*1.5))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "There are *three* division operators in Python!\n",
-    "\n",
-    "| Operator | Name | Purpose | Example |\n",
-    "| :- | :- | :- | :- |\n",
-    "| / | Float Divisor | Gives you the answer to the division. | 11*/*4 results in 2.75 |\n",
-    "| // | Integer Divisor | Gives you the quotient of the division. | 11*//*4 results in 2 |\n",
-    "| % | Modulus | Gives you the remainder of the division. | 11*%*4 results in 3 |"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2.75\n",
-      "2\n",
-      "3\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Try it yourself!\n",
-    "print(11/4)\n",
-    "print(11//4)\n",
-    "print(11%4)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3.4e-05"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Very small numbers are displayed using scientific notation. Try 1 / 100000.\n",
-    "34/1000000"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Combination of **//** and *%* enable you to take out digits from a number. These operators are simple yet powerful."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "7"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Get last digit of an integer by using % 10\n",
-    "987%10"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Get the 2nd last digit of an integer by using // 10 % 10\n",
-    "6834//10%10"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Rounding float values\n",
-    "- computers round values differently than human beings\n",
-    "- computers deal with binary representation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.01"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try 1 / 100\n",
-    "1 / 100"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.011000000000000001"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try 1.1 / 100\n",
-    "1.1 / 100"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.012"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# What about 1.2 / 100?\n",
-    "1.2 / 100"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.013000000000000001"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Try 1.3 / 100\n",
-    "1.3 / 100"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## What happens when you encounter an error?\n",
-    "- as soon as you run into an error in a line, execution of that cell terminates.\n",
-    "- go to view click Toggle Line Numbers."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.5\n",
-      "1.0\n"
-     ]
-    },
-    {
-     "ename": "ZeroDivisionError",
-     "evalue": "division by zero",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m/var/folders/k6/kcy8b4f57hx9f1wh4sbs8mn40000gn/T/ipykernel_2746/4025564011.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
-     ]
-    }
-   ],
-   "source": [
-    "print(1 / 2)\n",
-    "print(1 / 1)\n",
-    "print(1 / 0)\n",
-    "print(1 / -1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## More mathematical operators\n",
-    "- modulo (%): remainder of a division\n",
-    "- exponent (**)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What is 11 % 4?\n",
-    "11 % 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 987 % 10?\n",
-    "987 % 10"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# How can you combine // and % to extract number at a specific digit's place?\n",
-    "(987 // 10) % 10"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try out 2 ^ 3. This is not the exponent operator!\n",
-    "2 ^ 3 # Binary exclusive or (rarely useful)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 2 ** 3?\n",
-    "2 ** 3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's do 3 ** 2\n",
-    "3 ** 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 9 ** 0.5?\n",
-    "9 ** 0.5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's try it a different way: 9 ** 1 / 2\n",
-    "# What's wrong?\n",
-    "9 ** 1 / 2"
-   ]
-  },
-  {
-   "attachments": {
-    "image.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Operator Precedence\n",
-    "![image.png](attachment:image.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's try 9 ** (1 / 2)\n",
-    "9 ** (1 / 2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about -5 ** 2?\n",
-    "-5 ** 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Now let's try -(5 ** 2)\n",
-    "-(5 ** 2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Unary signs. What is 3 - -4?\n",
-    "3 - -4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Unary signs. What is 3 + -4?\n",
-    "3 + -4"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## More data types\n",
-    "- str (ex: 'hello', \"how are you\", 'i am fine')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Text needs quotation. Try just hello world\n",
-    "hello world"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Now try \"hello world\"\n",
-    "\"hello world\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Single quotations work too. Try 'hello'\n",
-    "'hello'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What type do you get for \"hello world\"?\n",
-    "type(\"hello world\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### More about str\n",
-    "- how can you use quotations inside a str?\n",
-    "    - either use combination of single and double quotations\n",
-    "    - or use escape by typing \\ before the quotation\n",
-    "- other special characters:\n",
-    "    - \\n newline character\n",
-    "    - \\t tab character\n",
-    "- printing a str always displays just the text and not the quotations around it"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try out 'she said \"hello\"'\n",
-    "'she said \"hello\"'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Also, try out \"she said\\\"hello\\\"\" #Escape special characters with \"\\\"\n",
-    "\"she said\\\"hello\\\"\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's add a newline: \"she said\\n\\\"hello\\\"\"\n",
-    "\"she said\\n\\\"hello\\\"\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try printing \"she said\\n\\\"hello\\\"\". What happened?\n",
-    "print(\"she said\\n\\\"hello\\\"\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's use tab: \"a\\tb\"\n",
-    "\"a\\tb\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try printing \"a\\tb\"\n",
-    "print(\"a\\tb\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### String operators\n",
-    "- concatenation (+)\n",
-    "- replication (*)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Recall 3 * 4 \n",
-    "3 * 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Recall 3 + 4\n",
-    "3 + 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What happens when you try \"3\" + \"4\"? String concatenation\n",
-    "\"3\" + \"4\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Can you multiply strings: \"3\" * \"4\"?\n",
-    "# \"3\" * \"4\" # Does not work"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about replicating strings: \"3\" * 4?\n",
-    "\"3\" * 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's all have some fun.\n",
-    "\"ha \" * 100"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Santa is here early.\n",
-    "'santa says \"' + 'ho ' * 3 + '\"'"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Comparison operators\n",
-    "- greater than (>)\n",
-    "- lesser than (<)\n",
-    "- greater than equal to (>=)\n",
-    "- lesser than equal to (<=)\n",
-    "- equal to (==)\n",
-    "- not equal to (!=)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 3 < 5\n",
-    "3 < 5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try -3 > -5\n",
-    "-3 > -5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 3 <= 4\n",
-    "3 <= 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try \"A\" < \"B\"\n",
-    "\"A\" < \"B\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try \"a\" < \"B\"\n",
-    "\"a\" < \"B\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about type(5 > 3)?\n",
-    "type(5 > 3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 2 == 2.0\n",
-    "2 == 2.0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about type(2) == type(2.0)?\n",
-    "type(2) == type(2.0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 2 == 1 + 3\n",
-    "2 == 1 + 3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 1 == 2\n",
-    "1 == 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What happens when you try \"1\" < 2?\n",
-    "\"1\" < 2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Boolean values\n",
-    "- True\n",
-    "- False\n",
-    "\n",
-    "## Comments\n",
-    "- when you add # in front of a line, you are commenting it out.\n",
-    "- commented out lines will not execute."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "type(True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "True or False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "not not not False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "not False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "not True"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "True or False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "True and False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "not True or True"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "not (True or True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "5 < 3 or 10 > 5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "5 < 3 and 10 > 5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/lec_04_Operators_template-checkpoint.ipynb b/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/lec_04_Operators_template-checkpoint.ipynb
deleted file mode 100644
index 972fd2251104dac79605d73ced9cf2550f25d64c..0000000000000000000000000000000000000000
--- a/f22/meena_lec_notes/lec-03/.ipynb_checkpoints/lec_04_Operators_template-checkpoint.ipynb
+++ /dev/null
@@ -1,840 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Jupyter notebook\n",
-    "- Terminology and usage:\n",
-    "    - input cell\n",
-    "    - cell execution (using shift + enter)\n",
-    "    - if many lines of code are entered, the last line is displayed\n",
-    "    - print(...) enables you to display output from all the lines"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Mathematical operators\n",
-    "- addition (+)\n",
-    "- subtraction (-)\n",
-    "- multiplication (*); you cannot use x or ( ) instead of *\n",
-    "- division (/)\n",
-    "- integer division (//)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Enter three addition expressions\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Add print() around some of the expressions\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Add print() around all of the expressions\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try subtraction\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try multiplication\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Things that don't work in place of *\n",
-    "# Does not work: 3 x 5\n",
-    "# Does not work: (3)(5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 1 * 1\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What do you get when you try 1 / 1?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 3 / 2?\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Data Types\n",
-    "- int (ex: 1, 5, 20, 41)\n",
-    "- float (ex: 1.0, 1.5, 5.678)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's learn about integer division. Try 3 // 2\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What is 11 // 4?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Very small numbers are displayed using scientific notation. Try 1 / 100000\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## How to determine data type?\n",
-    "- type(...)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What is type(10)?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about type(10.5)?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try out type with a mathematical expressions 3 * 2\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about type(3 / 2)?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Observe type of integer division result type(3 // 2)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Rounding float values\n",
-    "- computers round values differently than human beings\n",
-    "- computers deal with binary representation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 1 / 100\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 1.1 / 100\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 1.2 / 100?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 1.3 / 100\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## What happens when you encounter an error?\n",
-    "- as soon as you run into an error in a line, execution of that cell terminates.\n",
-    "- go to view click Toggle Line Numbers."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## More mathematical operators\n",
-    "- modulo (%): remainder of a division\n",
-    "- exponent (**)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What is 11 % 4?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 987 % 10?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# How can you combine // and % to extract number at a specific digit's place?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try out 2 ^ 3. This is not the exponent operator!\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 2 ** 3?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's do 3 ** 2\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about 9 ** 0.5?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's try it a different way: 9 ** 1 / 2\n",
-    "# What's wrong?\n"
-   ]
-  },
-  {
-   "attachments": {
-    "image.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Operator Precedence\n",
-    "![image.png](attachment:image.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's try 9 ** (1 / 2)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about -5 ** 2?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Now let's try -(5 ** 2)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Unary signs. What is 3 - -4?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Unary signs. What is 3 + -4?\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## More data types\n",
-    "- str (ex: 'hello', \"how are you\", 'i am fine')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Text needs quotation. Try just hello world\n",
-    "hello world"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Now try \"hello world\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Single quotations work too. Try 'hello'\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What type do you get for \"hello world\"?\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### More about str\n",
-    "- how can you use quotations inside a str?\n",
-    "    - either use combination of single and double quotations\n",
-    "    - or use escape by typing \\ before the quotation\n",
-    "- other special characters:\n",
-    "    - \\n newline character\n",
-    "    - \\t tab character\n",
-    "- printing a str always displays just the text and not the quotations around it"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try out 'she said \"hello\"'\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Also, try out \"she said\\\"hello\\\"\" #Escape special characters with \"\\\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's add a newline: \"she said\\n\\\"hello\\\"\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try printing \"she said\\n\\\"hello\\\"\". What happened?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's use tab: \"a\\tb\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try printing \"a\\tb\"\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### String operators\n",
-    "- concatenation (+)\n",
-    "- replication (*)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Recall 3 * 4 \n",
-    "3 * 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Recall 3 + 4\n",
-    "3 + 4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What happens when you try \"3\" + \"4\"? String concatenation\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Can you multiply strings: \"3\" * \"4\"?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about replicating strings: \"3\" * 4?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let's all have some fun.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Santa is here early.\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Comparison operators\n",
-    "- greater than (>)\n",
-    "- lesser than (<)\n",
-    "- greater than equal to (>=)\n",
-    "- lesser than equal to (<=)\n",
-    "- equal to (==)\n",
-    "- not equal to (!=)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 3 < 5\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try -3 > -5\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 3 <= 4\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try \"A\" < \"B\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try \"a\" < \"B\"\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about type(5 > 3)?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 2 == 2.0\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What about type(2) == type(2.0)?\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 2 == 1 + 3\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Try 1 == 2\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What happens when you try \"1\" < 2?\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Boolean values\n",
-    "- True\n",
-    "- False\n",
-    "\n",
-    "## Comments\n",
-    "- when you add # in front of a line, you are commenting it out.\n",
-    "- commented out lines will not execute."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# type(True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# True or False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# not not not False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# not False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# not True"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# True or False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# True and False"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# not True or True"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# not (True or True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 5 < 3 or 10 > 5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 5 < 3 and 10 > 5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}