From fd7b67507d303eca7ac1a66fa9b210037bdef039 Mon Sep 17 00:00:00 2001
From: Andy Kuemmel <kuemmel@wisc.edu>
Date: Wed, 28 Sep 2022 08:53:38 -0500
Subject: [PATCH] Update f22/andy_lec_notes/lec10_Sep28_Iteration1/readme.md,
 f22/andy_lec_notes/lec10_Sep28_Iteration1/lec10_iteration1_template.ipynb
 Deleted f22/andy_lec_notes/lec_10/lec10_iteration1_850.ipynb,
 f22/andy_lec_notes/lec_10/lec10_iteration1_template.ipynb,
 f22/andy_lec_notes/lec_10/.ipynb_checkpoints/lec10_iteration1_complete-checkpoint.ipynb,
 f22/andy_lec_notes/lec_10/.ipynb_checkpoints/lec10_iteration1_template-checkpoint.ipynb

---
 .../lec10_iteration1_template.ipynb           |  455 +++++++
 .../readme.md                                 |    0
 ...lec10_iteration1_complete-checkpoint.ipynb |  582 ---------
 ...lec10_iteration1_template-checkpoint.ipynb |  471 -------
 .../lec_10/lec10_iteration1_850.ipynb         | 1120 -----------------
 .../lec_10/lec10_iteration1_template.ipynb    |  586 ---------
 6 files changed, 455 insertions(+), 2759 deletions(-)
 create mode 100644 f22/andy_lec_notes/lec10_Sep28_Iteration1/lec10_iteration1_template.ipynb
 rename f22/andy_lec_notes/{lec_10 => lec10_Sep28_Iteration1}/readme.md (100%)
 delete mode 100644 f22/andy_lec_notes/lec_10/.ipynb_checkpoints/lec10_iteration1_complete-checkpoint.ipynb
 delete mode 100644 f22/andy_lec_notes/lec_10/.ipynb_checkpoints/lec10_iteration1_template-checkpoint.ipynb
 delete mode 100644 f22/andy_lec_notes/lec_10/lec10_iteration1_850.ipynb
 delete mode 100644 f22/andy_lec_notes/lec_10/lec10_iteration1_template.ipynb

diff --git a/f22/andy_lec_notes/lec10_Sep28_Iteration1/lec10_iteration1_template.ipynb b/f22/andy_lec_notes/lec10_Sep28_Iteration1/lec10_iteration1_template.ipynb
new file mode 100644
index 0000000..78249bd
--- /dev/null
+++ b/f22/andy_lec_notes/lec10_Sep28_Iteration1/lec10_iteration1_template.ipynb
@@ -0,0 +1,455 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Warmup: Ask the user to enter a positive number.\n",
+    "# if the number is  positive, print out the square root using math.sqrt()\n",
+    "# otherwise, tell them that is not positive\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Wondering......."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Lecture 10:  Iteration part 1\n",
+    "\n",
+    "Learning Objectives: (after this lecture you should be able to...)\n",
+    "\n",
+    "Implement an iterative algorithm using a while loop\n",
+    "- example: printing / counting\n",
+    "- example: validating user input\n",
+    "- example: performing an iterative calculation\n",
+    "- example: character art\n",
+    "\n",
+    "Trace iterative algorithms and determine their output\n",
+    "\n",
+    "Recognize common while loop errors\n",
+    "- Infinite loops (when unintentional)\n",
+    "- Off-by-one mistakes in the loop control variable\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Example 1:  Validating User Input\n",
+    "# Rewrite the warmup using a while loop\n",
+    "\n",
+    "# keep asking\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Example 1b:  what happens if you remove the line that asks again?\n",
+    "# this is called an infinite loop\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "# this is called ......."
+   ]
+  },
+  {
+   "attachments": {
+    "Screen%20Shot%202022-09-28%20at%208.50.58%20AM.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![Screen%20Shot%202022-09-28%20at%208.50.58%20AM.png](attachment:Screen%20Shot%202022-09-28%20at%208.50.58%20AM.png)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Example 2:  Put this code into Python Tutor to see how it works\n",
+    "# Goal: to \n",
+    "n = 0\n",
+    "while n < 10:\n",
+    "    print(n)\n",
+    "    n += 2\n",
+    "\n",
+    "# identify the following: \n",
+    "# loop control variable is ____\n",
+    "# loop condition is _____\n",
+    "# loop body is _____\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Example 3: Find the max value of a function on an interval"
+   ]
+  },
+  {
+   "attachments": {
+    "graph.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![graph.png](attachment:graph.png)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Example 3a: define the function and test it\n",
+    "def f(x):\n",
+    "    return 5 - (x-2)**2\n",
+    "f(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4\n",
+      "1 4\n",
+      "1.1 4.19\n",
+      "1.2000000000000002 4.36\n",
+      "1.3000000000000003 4.510000000000001\n",
+      "1.4000000000000004 4.640000000000001\n",
+      "1.5000000000000004 4.75\n",
+      "1.6000000000000005 4.840000000000001\n",
+      "1.7000000000000006 4.91\n",
+      "1.8000000000000007 4.96\n",
+      "1.9000000000000008 4.99\n",
+      "2.000000000000001 5.0\n",
+      "2.100000000000001 4.99\n",
+      "2.200000000000001 4.96\n",
+      "2.300000000000001 4.909999999999999\n",
+      "2.4000000000000012 4.839999999999999\n",
+      "2.5000000000000013 4.749999999999998\n",
+      "2.6000000000000014 4.639999999999998\n",
+      "2.7000000000000015 4.509999999999998\n",
+      "2.8000000000000016 4.359999999999998\n",
+      "2.9000000000000017 4.189999999999997\n",
+      "3.0000000000000018 3.9999999999999964\n",
+      "3.100000000000002 3.7899999999999956\n",
+      "3.200000000000002 3.559999999999995\n",
+      "3.300000000000002 3.3099999999999947\n",
+      "3.400000000000002 3.039999999999994\n",
+      "3.500000000000002 2.7499999999999933\n",
+      "3.6000000000000023 2.4399999999999924\n",
+      "3.7000000000000024 2.109999999999992\n",
+      "3.8000000000000025 1.759999999999991\n",
+      "3.9000000000000026 1.3899999999999904\n",
+      "4.000000000000003 0.9999999999999893\n",
+      "4.100000000000002 0.5899999999999901\n",
+      "4.200000000000002 0.15999999999999126\n",
+      "4.300000000000002 -0.29000000000000714\n",
+      "4.400000000000001 -0.760000000000006\n",
+      "4.500000000000001 -1.2500000000000044\n",
+      "4.6000000000000005 -1.7600000000000025\n",
+      "4.7 -2.290000000000001\n",
+      "4.8 -2.839999999999999\n",
+      "4.8999999999999995 -3.4099999999999966\n",
+      "4.999999999999999 -3.9999999999999947\n",
+      "max occurred at 2.000000000000001 5.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Example 3b: write code to iterate over values \n",
+    "\n",
+    "start_x = 1\n",
+    "end_x = 5\n",
+    "delta_x = 0.1\n",
+    "\n",
+    "max_y = f(start_x)\n",
+    "max_x = start_x\n",
+    "print(max_y)\n",
+    "\n",
+    "current_x = start_x\n",
+    "\n",
+    "while False:  # change this\n",
+    "    y = f(current_x)\n",
+    "    print(current_x, y)\n",
+    "    if y > max_y:\n",
+    "        max_y = 0  # change this\n",
+    "        max_x = 0  # change this\n",
+    "    current_x += delta_x\n",
+    "print(\"max occurred at\", max_x, max_y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Example 4:  write a function to determine if an integer is prime\n",
+    "# https://www.theochem.ru.nl/~pwormer/Knowino/knowino.org/wiki/Prime_number.html\n",
+    "\n",
+    "def is_prime(x):\n",
+    "    \"\"\" returns True if x is prime, False otherwise. \"\"\"\n",
+    "    if x <= 1:\n",
+    "        return False    #  rules of math.... don't worry why\n",
+    "    \n",
+    "    divisor = 2\n",
+    "\n",
+    "    while divisor <= math.sqrt(x):\n",
+    "        if x % divisor == 0: # its divisble\n",
+    "            return ???     # not prime\n",
+    "        divisor += 1         # try the next number up\n",
+    "    return ???\n",
+    "\n",
+    "is_prime(101)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "is_prime(36)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "is_prime(2) #2 is prime, this should return True"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### for loop\n",
+    "\n",
+    "- does not require initialization of loop control variable outside the loop\n",
+    "- loop statement itself creates the loop control variable\n",
+    "- keywords `for` and `in`\n",
+    "\n",
+    "### range() function\n",
+    "- range(5) produces the sequence 0, 1, 2, 3, 4, \n",
+    "- range(3,5) produces the sequence 3, 4\n",
+    "- the ending number is not included\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Example 5:  Another kind of a loop is a for loop\n",
+    "# the loop control variable in this loop is increased by 1 in each iteration\n",
+    "\n",
+    "for i in range(3,7):\n",
+    "    print(i) # don't need to change i"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i in range(5): #starts with ___, ends with ____\n",
+    "    print(i)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# write a for loop that prints out the integers from 10 to 20, inclusive\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Example 6:  Change this `while` loop to a `for` loop \n",
+    "\n",
+    "print(\"Prime numbers:\")\n",
+    "number = 2\n",
+    "while number <= 50:\n",
+    "    if is_prime(number):\n",
+    "        print(number, \"is prime\")\n",
+    "    else:\n",
+    "        print(number, \"is not prime\")\n",
+    "    number += 1\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Example 7: What is an an off-by-one error? \n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Practice :  Print out a Picture Frame given height and width\n",
+    "###########\n",
+    "#         #\n",
+    "#         # \n",
+    "###########\n",
+    "\n",
+    "width = 8\n",
+    "height = 4\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Practice:  write a while loop that prints out 50, 45, 40, ... 5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# What is an off-by-one error? "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Extra Practice:  Turn the picture frame code into a function with default values\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "attachments": {
+    "Screen%20Shot%202022-09-28%20at%208.51.49%20AM.png": {
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QQAABBBBIToAAXXKWpIQAAggggAACCCCAAAIIIIAAAggggEBsAQJ0scm4AAEEEEAAAQQQQAABBBBAAAEEEEAAgeQECNAlZ0lKCCCAAAIIIIAAAggggAACCCCAAAIIxBYgQBebjAsQQAABBBBAAAEEEEAAAQQQQAABBBBIToAAXXKWpIQAAggggAACCCCAAAIIIIAAAggggEBsAQJ0scm4AAEEEEAAAQQQQAABBBBAAAEEEEAAgeQECNAlZ0lKCCCAAAIIIIAAAggggAACCCCAAAIIxBYgQBebjAsQQAABBBBAAAEEEEAAAQQQQAABBBBIToAAXXKWpIQAAggggAACCCCAAAIIIIAAAggggEBsAQJ0scm4AAEEEEAAAQQQQAABBBBAAAEEEEAAgeQECNAlZ0lKCCCAAAIIIIAAAggggAACCCCAAAIIxBYgQBebjAsQQAABBBBAAAEEEEAAAQQQQAABBBBIToAAXXKWpIQAAggggAACCCCAAAIIIIAAAggggEBsAQJ0scm4AAEEEEAAAQQQQAABBBBAAAEEEEAAgeQECNAlZ0lKCCCAAAIIIIAAAggggAACCCCAAAIIxBYgQBebjAsQQAABBBBAAAEEEEAAAQQQQAABBBBIToAAXXKWpFRkgZUrV8q0adNEPzt06CB169YtcgnIzk+AuvGTYT8CCCCAAAIIIIAAAggggAAC2QIE6LJN2FMFBJYsWSKbbrqpTJ061S5t+/btZdKkSdKiRYsqUPrqXUTqpnrXL3eHAAIIIIAAAggggAACCCCQvAABuuRNSbEIAm+++abstNNOaTk9/fTTss8++6TtY6P4AtRN8c3JEQEEEEAAAQQQQAABBBBAoGoLEKCr2vVXY0v/2GOPyYEHHph2//fcc48cfvjhafvYKL4AdVN8c3JEAAEEEEAAAQQQQAABBBCo2gIE6Kp2/dXY0mtruYEDB6bd/3333SeDBw9O21fOGw888IA88cQT0rNnTznllFOkYcOGRS2udgk+/vjj5eeff5b3339ftJtwEkt1qJskHMoljer2nC1btkx23HFH+fPPP+XQQw+VM888U+rXr5/GPWTIEHnttddk//33lwsuuEBatWqVdrwmbZS6/muSNfdaHIFifAdcffXVcsstt8jQoUPt75gGDRoU5OaKlU9BCk+iCCCAAAIIIJC8gMWCQBUUeP755y3z05D27+WXX64ydzJnzhyrTp06qfI//PDDRS37Z599Zq2xxhqp/D///PPE8q/qdZMYRBkkVB2fs9tuuy313Op3wKuvvpom/fHHH6cdv+mmm9KO16SNUtd/TbLmXosnUIzvABPcT32P7LXXXtaKFSsKcoPFyqcghSdRBBBAAAEEEEhcgBZ0ycc8SbEIAkuXLpWTTz5ZvvzyS6msrLQnjLj++uulXr16Rcg9/yw++ugj6dWrVyqha665Rs4444zUdiFXzEu7bLbZZvYMuJpP69at7fXMVki5lqGq102u912O11W358y8JEuXLl3khx9+SHFPnz5d1lxzzdT2fvvtJ08++WRq+9lnn5UBAwaktmvSSinrvyY5c6/FEyjWd8Cdd94pRx11VOrGzjvvPLniiitS20mtFCufpMpLOggggAACCCBQWAECdIX1JXUEPAUyX5wvueQSufDCCz3PTXqndgscPXp0KlntAnjZZZeltlmpPgLV7TnTbuyHHXZYqoI22mgjO0jv7Jg8ebIdfDZ/yrJ31a5dW2bPni1NmzZ1TqlRn6Ws/xoFzc0WTaBY3wGLFy+Wjh07ysyZM+17q6ioEP152nLLLRO912Llk2ihSQwBBBBAAAEECieQeJs8EkQAgVCB8ePHp7rPmJ9uywToQq9J4oR33nknLV8zro41Y8aMJJImjTIUqE7P2cqVK61u3bqlPb/HHXdcmvpBBx2Udty0Uk07XtM2SlX/Nc2Z+y2OQLG/A8wfr9K+T7bddlvLtNhP/GaLlU/iBSdBBBBAAAEEEEhcQBJPkQQRqKYCplud9cEHH1jmL+p532GpXpz/9re/pb1wmC48ed9LOSSQZN2Uw/0kVYbq9Jw9+uijac+uBrbNjMEpqilTplimlUvaOeecc07qeD4rZkIKS4Pbb7/9tqXrhVySfJZLVf/qU0yzzPpYsmSJpc/De++9Z+k4fCzVQ6DY3wGm+7xlhs1I+065++67E8csVj6JF5wEEUAAAQQQQCBxgRrfxfWhhx6Sxx9/XObNm2ePZeZuq1i3bl0xfzEV7X7oLNodYcSIEWJefGThwoXO7tRno0aN5JhjjqmxYx6lIBJcmTt3rlx++eViJjbQgHJWyrVq1ZLdd99dzjrrrKxjYTu0/seMGWN3g3PObd68uV3HnTt3ltdff11uvPFGGTdunJiWZs4p9phXe+yxh31eixYtUvujrpSi65mOxbXPPvukFVHLobPI5rpU5brRmWtvvvlm+f3331O3r10idUZdMyi4vU/r3Ew6IJ9++ql88sknMmvWLOnevbv06NHD/rfFFluI/swHLWYCDrn22mvlp59+Sp2m3aV0ptF//vOfqX3Ois4+evvtt6e6Vjn79TnfZZdd5Nxzz3V2hX5Wl+dMb3TzzTeXiRMnpu5ZPbR+2rRpY+874ogjZNSoUanjuvLKK6/IrrvumrYvyoY+Ezq7ota7jnPpdHNzrtU89Tno37+/nHbaaaFjX9aE75mkzdRa/998//33y/z58x361GefPn3Suub/9ddfos5mAgH7Z9X5f4X+rOnPq/4/4uKLL86a8TeVYIFXyuV3DR2zddq0adKkSRPJ5f9dBWYKTL6Y3wFOQTK/V9Zee237u9xM8uSckshnsfJJpLAkggACCCCAAAIFE6jRATr9hV7HJtJfWIMWfWHeeeed7VNuvfVWMd2qgk6Xtm3bpgVzAk9O8KCZCVSefvrp0PuJmqVOHqATF2igqpTLDTfcYE8IEVQGneDAtJoIOiXrmAZYW7ZsKcuXL886pi/nOvi8TjzhvOhlnWR2rLPOOvZLYd++fb0O2/v0+gceeEC++OIL0WdOn7c//vhDTOuf1DU68H1QIEGDEe3bt5d///vfOb9UaRlNi5JUnptuuqlMmjQptZ3LSlWuGx1LSIO+mcuBBx5o15cOCK6BYR2U3G9Za6215I477kgF9LzOM7P0yRNPPJF1qHfv3mJaZGbtN904xbT+ydqvO/Q50GeoYcOGWcer83P23HPPyd577512z+7n98cff5QNN9wwra50whidECUsgOpOVH829Tv+/PPPt/9o4z7mt64/uxro1eCp11Ldv2cKYaaO+nOnASSvP4Tpcf1ZcP7frd9r//rXv+Tnn3/WQ77LscceK7fccovv8UIdKIffNTSYrf8/16Cn8/9K/f7SZ11/p1HPcl6K9R2QaWBazkq/fv3Sduv3+aBBg9L25btRrHzyLSfXI4AAAggggECBBcxLXY1dtBuMaS2V1n3BcGdtm1/GUkYPPvhg1vHMazTNYi/mBcAyQarQsmWWNWzbvNAU+1ay8jOtYkLvS7uhxF3MbKOWaQkTmnaYkQnSWeYl0jd780KUdx5OGf7zn//45hN04Pvvv7fMC1haOUyrrqBLIh2rynVjAqJpHo6xaRVnbbPNNp7HnHMyPw8//HDLtCb0NBs6dKhnWiaw43m+CTR5nu/kqd2hvJbq/Jx51ceJJ56YYjj66KOzzExAOnU8yooJ7limNWlWOo572Ofxxx/vmU11/p4plJlC6nhjprWSb33o95kuw4cPt0zLV9/z3PW2/vrr29cU+z+l/l3DtPy3zMzdvkZmFvFik8TOrxjfAV6FMoFiy/whL83OtMb0OjWvfcXKJ69CcjECCCCAAAIIFFygxo9BZ1qdWf/4xz8sr5fiZs2aWXfeeWfaoMD60mC6yVim9UbaL2z6EmBa2Vmme5z17rvvFrziMjMwMxVmjb/kfjHJdf2QQw7JzKro24sWLbLNTbdDa88990z9a9euXaoOcgnQ6Y2Ybp+WmRXS0pd5PyPTysAyM5/aEzmYFmyWBuQyzzWtEHxdogR1M9Pz2861Pi699NKsMutYV/kuVbluTHdJS+tz3333zQpe+vkH7dcBxPX7IXNRZ53MYODAgZZpzZWqB78AnT6TWibnWTctWFPXaP5+Abrq+py9+uqraffv1IHzhxPTXc/zjxNmVuTMqvDd1nozrWSy8tH6Ml1YrSeffNIyrS0t093ZeuSRR+z/ZzjlcH/6jU9VHb9nCm2mlWVaTdnfz87PQ4cOHVJ1pAE604I3te3Ug058o8Ecr/9HH3zwwb7PQKEPlPJ3DX1mHR+vz1L8UTGOdzG+A4LKY1pnpvnps2eGLAi6JKdjxconp8JxEQIIIIAAAggURaDGB+gcZTMGnZU5gL4Zg87SVimZi+lOZXXs2DHtFzbTFS7ztKJvn3rqqZbpBmm3OtCWB/n+07+468Do5broS5vzspFrgM65t8zB1J10NeBqxj9yTrM/NRiqwRPnHP3UIJ7fos+WBhc1COz805dI9/X6F3rnmN+n6eJnTZgwwS+bwP1m7J60/PyCQ4GJxDhYVerGuSX9WXfXh7OuL67XXXedHZjRYKQZg8566623LP1Z82q1o615ghatWyftqHVguqWlrtFr/QJ01fU5M+P0pd2/GmhrYf051GXYsGFZx/UcndAl6nLVVVdlpWG6Ovtaa7o6AYE7YKR5Nm7c2Prqq698s61O3zPFMnNj6qQ26uz8c7cK1u9UMz5j2iQe+v9q01XdMuOF2gHyqVOnupMryXopftfwqivH0Pn85ZdfSuIRJdNifAcElUODq46T83nvvfcGXZLTsWLlk1PhuAgBBBBAAAEEiiJAgM7FvGDBgqxWFGYgYEt/aXIWba2x3nrrpf2ydt555zmH+SyiQKGDQNpyxm8xA6LbL+POL+v6qc9P1CXzRd1MRBL10tjnaWBJn2N3Wf2648VO3OeCqlY3XgE67cb022+/+dyhZWkdapDN7WrGhrO++eYb32sKGaDzyrQ6PGcaCDNjvKX9e+ONN1K3+/XXX6cd03Pds7umTvRZMWNDWpn1P2DAAEu7nIUt2qIuM9huxqLzvSyzPvTZqYrfM8U0c2NmBuicn71OnTpZZkIP96llvV7s3zX8gtiOn36acVHL1qzQ3wFhN67DF2R+R2jr66SXYuWTdLlJDwEEEEAAAQSSEyBAl2GpY7npC5b7F1dtKWNmkrNbU2S+kGsLK5bSCBQyCKRjFS1btizwxrTbq/s5ifOCmPmiXsgAnZmtNK2cWmbtGlbIparVTebLl77wB40r6NhNnjw5q3vl4MGDncNZn9U5QFeK5ywLOIcdZkKYtJ8P7TqvQe2oi7aedn8PaCs6v+Be5s99Vf2eKaaZux68AnRmshfLzLLrPq1KrBfzdw1tTep+RjPXN9lkkyphVspC6nPmdtt4440LUpxi5VOQwpMoAggggAACCOQtQIDOg1AHVNYuMe5fxioqKiwz42vavkL8BdWjOOzyEShkEOiII47wyXX17sxx3V588cXVB0PWMl/UCxmgu+mmm9KeW32ux4wZE1LC/A5XtbrJDNDpmEdRF+1C5/6uCHrZrc4BulI8Z1HrKOi8/fbbL63+zjnnnKDTs45pCz53/ev6559/nnWe7sj8ua+q3zPFNHNDZgbo9GetKgbnnHsq5u8aJ598ctZzqs9qkyZNrHHjxjlF4tNHQIeYcP+ca/dqv0C8TxKRdhcrn0iF4SQEEEAAAQQQKLoAATofcp15zx1kcP9ipuvaSsZrQHif5IqyW1v5HXnkkdagQYMS+acvQ+UwZo8fnrt+kh6DLmwsMS2TTiDifi7KNUCng+W7y6nrhX4hq2p14w7QtW7d2u+R89yv41y5fbU7sX5/eC3VOUBXiufMyzjuPq9JX1q0aGHF+eeuf12/5557PIuRGaCrqt8zxTRzQ2YG6HSogaq+FPN3jRdeeMH+HWGHHXawtBu3jtnnN6ZlVXdNuvz6B9nMn/NCdAsuVj5J+5AeAggggAACCCQjQIAuwFG7OO62225Zv5R17969IH85DShK6CHtLqMDp2f+Apnv9rHHHhuad6lOKGQQ6Prrrw+9LX0Jd/uWa4DupJNOSiunlvnnn38Ovb98TqhqdeMO0O24446xb11nfHY/C36TeVTnAF0pnrPYFZVxwYwZM9LqzV2H+az7fX9kBuj8znMXs9y+Z4pt5rZwB+i0BVN1WarS7xrVxTzufXj9ASJoQpi46TvnFysfJz8+EUAAAQQQQKC8BAjQBdSHDtibOR6IvrTpmHSjR48OuLL4h3RGQ+2Gm89Lpde1hxxySPFvJmKOVS0I5L6tzBf1QnZx1dae7rrVF9vly5e7i5P4elWrG3eAbp999ontobMnu42fe+45zzSqc4CuFM+ZJ3KMnb/++mtavbnrMNd1fZa+//57z1Jk/txXxQBdsc3ckNU1QFeVftdw10dNWr/11luzvit03M2kl2Llk3S5SQ8BBBBAAAEEkhGw/wRtXkRYMgTMAPFiWs/J2LFjM46s2jTBMDFdHMWMIeR5vBQ7zzjjDHnkkUeksrIykexNVz8x40pJ3759E0kv6UQGDhwoTz/9tJ2s6eIqpqtQzll89NFH0qtXr9T15sVZTIug1LbXyqhRo9Lq37Sgk/79+3udmrUvM78LLrhALrvssqzzkthx8MEHi5mJOJWUaWkpS5YsSW0XYqWq1Y0+PyZoaVOYiWBkypQpkVnMjIxiWtDpHztS15iWFdKtW7fUtrOiaX/77bf2pgnWiZnx1Tnk+6k/1yNGjEgdN13SZM0110xtB61U9+cs6N6jHNM607rTOnSWa6+9Vrp27epsRv40f7gRM06pXe+me6zndZn1URW/Z4pt5oY03f/kjjvusHeZPzQk9v86dx7FXq+Kv2sU26gc8jMtWWXIkCFpRTGzSYtpcZ22L9+NYuWTbzm5HgEEEEAAAQQKJJBMnK96paKzN5qgVNpfS3fddVfrwAMPTNunLZFuu+226nXzVehuqlorLTeteVFPe5YK2ZX4mGOOScvLfJVY8+bNcxcn8fWqVjfuFnTaEjXO2EKvvPJKmm/Dhg19u8C7W9AqlmyZAAA0vElEQVTpGGdRFh1TUuvM+RdnzKjq/pxF8Qs7p3fv3ilbNTaB97BLcj5e7BZ0har/Ypq5satbC7pi/65h/iBgXXPNNdbRRx9tnX766ZZ2n9aJKljCBf773/+mfU/od0WcmdvDc1h1RrHyiVoezkMAAQQQQACB4grQxTXDe9GiRdZOO+2U9ovYdtttZ+kYbzophM6657wo66cG6XT2QpbiC1S1IJBbaOLEiWnP0QEHHOA+nOj6+eefn5aXPremhViieWQmVtXqxh2gUx/T6jDzljy3dYD3jTfeOM23Z8+enufqTj3m/v6YP3++77l6wLSGtTK7z8YJ0FX35ywQL+JBd9BH62b//fePeGX804odoCtU/RfTzK3szlf/31uVl2L/rqFdJ3UyJff3j6537ty5rCeDKpc6Pu6447Lsfvjhh8SLV6x8Ei84CSKAAAIIIIBAIgIE6FyMptuftfvuu6f9Erb55ptbOj6Ms+gLs9csW//73/+cU/gskkBVCwK5WXR2XPeL0gYbbOA+7LuurR3efvttS1+8oy6my15aXpqvplHIparVTWaATo10VuSgRb8LTj755Czbc845x/cyDcS66/2hhx7yPVcPXHnllWnn67VxAnTV/TkLxIt48K677soyfvDBByNeveq0FStWWC+99JL1n//8x3rqqad8ry12gK5Q9V9MMzdmdQnQFft3jS+++MLS2aXd3z3u9X79+rmZWfcQcP8/zbFz/27ocUlOu4qVT06F4yIEEEAAAQQQKLgAAbr/J9aWMHvttVfaL7BmvChLZ6zLXPTF/IQTTkg7V39hu/rqqzNPZbuAAu5fZLVlQD5LsV+cNdCW2ZpBu0r6LR988IE1dOhQq0mTJqnn7oEHHvA7PW3/mDFjUtc4LxZmTLq0c5LeqGp14xWgU6vDDjvM0glYMhedva9Pnz5Zruuvv77d2jbzfGdbg3dOHeinBmb//PNP53DqU79j7r77bs+X6jgBuur+nKXA8ljR4JoZfzKtXsxYcpYZ3zI0Va0L7ZLWsWPHtOvHjRvneW11+Z4pppkbsjoE6Erxu8bw4cPTnk/3d5Cua7d+7SXA4i+Q2frZjAPqf3IeR4qVTx5F5FIEEEAAAQQQKKBAjZ8kYvLkyfLZZ5+JackiOsi/e7n00kvlyCOPlLXXXtu9W8z4XfLqq6/KQQcdJKbba9qxE088UcxLvWy11VZp+9mIL2BeGOT111+XH3/80fNinaTj888/t4/pAO06uLvfsu2226ZNAuGcp2mb1mRiZmNLDT6ux/bbbz8xrSnFdF8UE4hxTrc/dZB/86ItZvxBeffdd1PHzLg+0qNHD/v8zTbbLLXfb2XvvfcWM9tn6nCjRo3EtMAR06Va1lhjDfnpp5/kvffek8cee8xeT534/yumK4zcfPPNmbuztn///XdZa6210vabWWPlwgsvTNsXZ6O61Y17kohMBzOmnHTv3l1MV1PR5+zLL7+0J3rI/NnXQev1WQqaVOX555+XAQMGpGXRqlUrOeuss+xnp0GDBvL111+LCb6mPVvuC3QyEZ0kYo899pB11lnHfchzvSo/Z543VICdOqmHmbE7a/KUHXbYQUwrSXvSiPXWW09MYEp++OEH+fjjj8W0shMdJD7zOdDimdZ09veHU9Tq+D1TaDMTuLb/Pztz5kyH0Z7sxj1xk06y4bd06tRJzB/d7J9Zv3OKub+Uv2sMGzZMzj777MDb/e6770SfcRZvgXbt2okZmzR10Mz2nZqkKrUzgZVi5ZNAUUkCAQQQQAABBAohUMDgX9knfd999wX+Vdl4WzqQ+5w5c9LuZdNNNw29TltKsOQnMHjw4FBnraMo/7R7T2ZLJW2lZH4ZDrzeBGSsX3/9NXUjJthlmVlQA68xwbVIkzCYl3u75UKU8meeo+MvmeBgqlxhK+bFK63M2mIon6W61Y27BZ3+zJuAZppXpn/mtraGjNrN3QR9YqWdmZezrS34oixV+TmLcn9JnaP159jm82lmdUybJKQ6f88UykzrNMr/Z8Pq6cknn0zq8cgrnVL/rnHvvfcGPtuNGze2li1bltc9VueLdTKIzGft8ssvT/yWi5VP4gUnQQQQQAABBBBITKBGd3G9+OKLs37pyvwlTLdffvnlFLh27TEtnUKvMy2bUtewkpuAvuh61Ueu+7SbqHvRF5KwYJvm5e56qpMrRMk/aoBWu0VrsC1KmnqOnrvzzjvHHkPu0EMPTctD09FgY65Ldasbd4BOZ2vWYK5p6ZZm5ldH22yzjaVjPEVdJkyYYLVu3TpS2jphjWmp63mudneOulTV5yzq/SV1nmmxa3Xt2tXT26/+nf1bb721dfvtt9sTe7jLU92/Zwphpn4aKHdsc/3U7sflsJT6d41Zs2ZZprWtr6dp+V8OTGVbhvPOOy/LzrTkTLy8xcon8YKTIAIIIIAAAggkJlCjA3Smq2LWDIzuFwHT9cye0U/HcXIvV111ldWsWbOsX9j0WtMdzjLdHC3Tpcl9Ces5CJiunVbbtm09nd31FLaurZu01ZJXCwEdE0zrzCsNDd6ZrqrWwoUL00qvA2r7BWm15ZXOALp8+fK0a4I2dMKGQYMGWaZLlmc5tBWfBmo06Pvbb78FJeV7zHTfzkpbxzjLdaludZMZoHNcXnjhBUtfrnVMPWecMf1e0OdJX2pHjx5tz+7snB/1UwOA2grRKzir40Hp5DSPPPKIHexRa23h4n5GW7ZsaU8gETU/Pa8qPmdx7i+pc3WMMDO8QWjrWq2Pdddd19JZknVMwqClun/PFMJMg2s6FqD7uY+6rj9XOruyGQIhqFqKdqwcftcwQ3lYZuiNNE9tWa4T3eikFSz+AjoesfvZ23DDDf1PzuNIsfLJo4hcigACCCCAAAIFFqjxY9CZX7pYECgbAdOdWkwLK5k2bZo9bpwJAIgJDIkJFuZVRtPNTsyEBPb4WU5CJigoTzzxhLNZoz/dY9CZFnRigmOeHiYQkXdduBNetGiRPZ6daZkp8+fPt8e60/ELdQzCQi48Z9F01UnHWtN/uixYsEB0bDP9udRP08orWkJldlah6l9vs7qalVkV5lQc8/uk6HiIOt6cfsd069ZNmjdvnlNaNeUiHec2c0xZHZ9Yx4tNcilWPkmWmbQQQAABBBBAIHkBAnTJm5IiAmUpcOWVV4rpQpMqm2mVJaZFnphWKql9NXUlaoCupvrEuW+eszhanIsAAuUscNFFF4kG5JxF/1+hAU6dNCjJpVj5JFlm0kIAAQQQQACB5AUI0CVvSooIlKWAzoZouubI3LlzU+XTmW9PPfXU1HZNXSFAl1zN85wlZ0lKCCBQWgGdwdtpQasl0Vmdr7vuusQLVax8Ei84CSKAAAIIIIBAogIE6BLlJDEEylvgpptuEjN2WqqQ2k1v6tSpYsa5S+2riSsE6JKtdZ6zZD1JDQEEii/w6quvym677ZbK2EzMY7eea9OmTWpfEivFyieJspIGAggggAACCBRWgABdYX1JHYGyEli5cqWYgcJl4sSJqXI9/vjjsv/++6e2a9KKjpelLb7M4Nyp2zYz1IqZkCO1rSsawNQx/MwEDmn72fAW4DnzdmEvAghUHQEzOZO8+eabqQKbiUvk3HPPTW0ntVKsfJIqL+kggAACCCCAQOEECNAVzpaUEShLgbFjx0rfvn1Fgyi6/O1vf5P333+/LMtayEKdeeaZMmLECJ3JOlI2nTt3Fp3Mwcz4Gun8mn4Sz1lNfwK4fwSqrsBHH30kvXr1St2Arn/wwQeJtzYvVj6pG2EFAQQQQAABBMpagABdWVcPhUOgMAJXXXVVWkuAr7/+Wrp27VqYzMo0VW0Rp4N9x1n0Ba13795xLqnR5/Kc1ejq5+YRqLICxxxzjNx22212+Vu1aiUffvihrL/++onfT7HySbzgJIgAAggggAACBREgQFcQVhJFoPwFdEbX4cOHy/Lly2X8+PGy9dZbl3+hEyzh0KFD5a677oqcYv369WXatGnSunXryNdwotgzB9fk54xnAAEEqp6AEzhr27atPPPMM7LNNtsU5CaKlU9BCk+iCCCAAAIIIJC4AAG6xElJEIGqI/Dzzz/b49HttddeNW58tcrKStFumDoGXdiiwTnt4tSyZcuwUznuIVCTnzMPDnYhgECZC/z2228ybtw42WGHHQr6vV+sfMqcm+IhgAACCCCAwP8LEKDjUUAAAQQQQAABBBBAAAEEEEAAAQQQQKCEAgToSohP1ggggAACCCCAAAIIIIAAAggggAACCBCg4xlAAAEEEEAAAQQQQAABBBBAAAEEEECghAIE6EqIT9YIIIAAAggggAACCCCAAAIIIIAAAggQoOMZQAABBBBAAAEEEEAAAQQQQAABBBBAoIQCBOhKiE/WCCCAAAIIIIAAAggggAACCCCAAAIIEKDjGUAAAQQQQAABBBBAAAEEEEAAAQQQQKCEAgToSohP1ggggAACCCCAAAIIIIAAAggggAACCBCg4xlAAAEEEEAAAQQQQAABBBBAAAEEEECghAIE6EqIT9YIIIAAAggggAACCCCAAAIIIIAAAggQoOMZQAABBBBAAAEEEEAAAQQQQAABBBBAoIQCBOhKiE/WCCCAAAIIIIAAAggggAACCCCAAAIIEKDjGUAAAQQQQAABBBBAAAEEEEAAAQQQQKCEAgToSohP1ggggAACCCCAAAIIIIAAAggggAACCBCg4xlAAAEEEEAAAQQQQAABBBBAAAEEEECghAIE6EqIT9YIIIAAAggggAACCCCAAAIIIIAAAggQoOMZQAABBBBAAAEEEEAAAQQQQAABBBBAoIQCBOhKiE/WCCCAAAIIIIAAAggggAACCCCAAAIIEKDjGUAAAQQQQAABBBBAAAEEEEAAAQQQQKCEAgToSohP1ggggAACCCCAAAIIIIAAAggggAACCBCg4xlAAAEEEEAAAQQQQAABBBBAAAEEEECghAIE6EqIT9YIIIAAAggggAACCCCAAAIIIIAAAggQoOMZQAABBBBAAAEEEEAAAQQQQAABBBBAoIQCBOhKiE/WCCCAAAIIIIAAAggggAACCCCAAAIIEKDjGUAAAQQQQAABBBBAAAEEEEAAAQQQQKCEAgToSohP1ggggAACCCCAAAIIIIAAAggggAACCBCg4xlAAAEEEEAAAQQQQAABBBBAAAEEEECghAIE6EqIT9YIIIAAAggggAACCCCAAAIIIIAAAggQoOMZQAABBBBAAAEEEEAAAQQQQAABBBBAoIQCBOhKiE/WCCCAAAIIIIAAAggggAACCCCAAAIIEKDjGUAAAQQQQAABBBBAAAEEEEAAAQQQQKCEAgToSohP1ggggAACCCCAAAIIIIAAAggggAACCBCg4xlAAAEEEEAAAQQQQAABBBBAAAEEEECghAIE6EqIT9YIIIAAAggggAACCCCAAAIIIIAAAggQoOMZQAABBBBAAAEEEEAAAQQQQAABBBBAoIQCBOhKiE/WCCCAAAIIIIAAAggggAACCCCAAAIIEKDjGUAAAQQQQAABBBBAAAEEEEAAAQQQQKCEAgToSohP1ggggAACCCCAAAIIIIAAAggggAACCBCg4xlAAAEEEEAAAQQQQAABBBBAAAEEEECghAIE6EqIT9YIIIAAAggggAACCCCAAAIIIIAAAggQoOMZQAABBBBAAAEEEEAAAQQQQAABBBBAoIQCBOhKiE/WCCCAAAIIIIAAAggggAACCCCAAAIIEKDjGUAAAQQQQAABBBBAAAEEEEAAAQQQQKCEAgToSohP1ggggAACCCCAAAIIIIAAAggggAACCBCg4xlAAAEEEEAAAQQQQAABBBBAAAEEEECghAIE6EqIT9YIIIAAAggggAACCCCAAAIIIIAAAggQoOMZQAABBBBAAAEEEEAAAQQQQAABBBBAoIQCBOhKiE/WCCCAAAIIIIAAAggggAACCCCAAAIIEKDjGahxAiv+/EOWf/ttjbtvbrj8BOp17y61m7cov4JRIgQQQAABBBBAAAEEEEAAgaIKEKArKjeZlYPAgkcfliXDLiiHolCGGi7Q+OqR0mjnXWq4ArePAAIIIIAAAggggAACCCBAgI5noMYJEKCrcVVetjdMgK5sq4aCIYAAAggggAACCCCAAAJFFSBAV1RuMisHAXeArta6XaXuLnuWQ7EoQw0RWP7Eg2LNmWHfLQG6GlLp3CYCCCCAAAIIIIAAAgggECJAgC4EiMPVT8AdoGt40bWyxt77VL+b5I7KVmD+vffI0huvsMtHgK5sq4mCIYAAAggggAACCCCAAAJFFSBAV1RuMisHAQJ05VALNbcMBOhqbt1z5wgggAACCCCAAAIIIICAnwABOj8Z9ldbAQJ01bZqq8SNEaCrEtVEIRFAAAEEEEAAAQQQQACBogoQoCsqN5mVgwABunKohZpbBgJ0NbfuuXMEEEAAAQQQQAABBBBAwE+AAJ2fDPurrUC5BuhWzPhdln7yiayY9ovIksViLVsqUqeu1GrQUGq3bSv1tthK6nXqJFKrVrWtm5pwYwToakItc48IIIAAAggggAACCCCAQDwBAnTxvDi7GgiUS4Bu2TffyKJnnpSVn38mld99bYJyC8N169aXWh03lNqbbC4Ndt1dGm6zLQG7cLWyOoMAXVlVB4VBAAEEEEAAAQQQQAABBMpCgABdWVQDhSimQEkDdJWV8tcrL8vie24T67vJed92rdZrS/1Dhsoafz/QtLRrkHd6JFB4AQJ0hTcmBwQQQAABBBBAAAEEEECgqgkQoKtqNUZ58xYoSYDOBObm33OXLB19m8jCuRn3YLqsNmstFV02ljo9tpS63bpJrUaNpVb9+iLLl0vl4kWy4ofvZcVE09Luy0lizfxNxKpMT6NuA6mz1wHS7LQzpaJRo/RjbJWVAAG6sqoOCoMAAggggAACCCCAAAIIlIUAAbqyqAYKUUyBYgfolv/4o8w79Tixfvkm7TZrddhQGhw6VBrtsqtUNGmadixow1qyRBZ/OFYWj7pTKiePN8E6a/XpTVrKGlffKA17bbN6H2tlJUCArqyqg8IggAACCCCAAAIIIIAAAmUhQICuLKqBQhRToGgBOhM4s4Mxtw4TWbli1S1W1Jba2+4kjY86Vupvulnet738l19k4d23y4qXnjCt7cykErqYSSTq7H2wND/7/FWt8Fbt5b9lIkCArkwqgmIggAACCCCAAAIIIIAAAmUkQICujCqDohRHoBgBOmvpUpl9zBCp/PzD1E3VWnNdaXrtrVKvS5fUvqRWVs6aKXPPOlUqJ45NJanj0zUf/bjUadM2tY+V0gsQoCt9HVACBBBAAAEEEEAAAQQQQKDcBAjQlVuNUJ6CCxQ6QGctWyazjxwslV99supealVI3X8cKc1OOV1q1alTuPszLfYWPP6oLBlxiciKZXY+tVq0kxYPPSW1W7cpXL6kHEuAAF0sLk5GAAEEEEAAAQQQQAABBGqEAAG6GlHN3KRboJABOstM6jB7qAnOffHxqizrN5Imt9wnDXps7i5CQddXTP9N5g45WKw/f7XzqdVyzVVBulatC5oviUcTIEAXzYmzEEAAAQQQQAABBBBAAIGaJECAribVNvdqCxQsQLdypcwaeujqbq31GkrTex6T+l27FV1+5ZzZMueggWLNMjO+mqVWq7WkxSPPSO3mLYpeFjJMFyBAl+7BFgIIIIAAAggggAACCCCAgHlvt8wCBAI1SaBQAbp5118ry0bfsoqyXgNpercJznXbqGS0K2fPkjkHa5Buul2Gii23k1a3jypZech4lQABOp4EBBBAAAEEEEAAAQQQQACBTAECdJkibFd7gUIE6JZO+VrmD95XpHKlSEUd03Lucam/8SYlt9TJI2bv319k4Vy7LA0vGiFr7G3KyVIyAQJ0JaMnYwQQQAABBBBAAAEEEECgbAUI0JVt1RSmYCtNN8xp06aJfnbo0EHq1q1bmIzKONXEA3TGcua+u4n1+0/2Xdc76nRpdvSxZSOw+P33ZOHJR5jymMaypttty2fflNqMR1ey+iFAVzJ6MkYAAQQQQAABBBBAAAEEylaAAF3ZVk3yBVuyZIlsuummMnXqVDvx9u3by6RJk6RFi5o1LlnSATp319ZaHbtI68efM63oKpKvwDxSnH3umbLy1SftFCq26COt7rg3j9S4NB8BAnT56HEtAggggAACCCCAAAIIIFA9BQjQFaFeb7vtNhkzZowsWrQolVubNm1k5MiR0q5du9S+Qq+8+eabstNOO6Vl8/TTT8s+++yTti/qxuLFi+XCCy+U8ePH2y3yvK6rU6eOHHXUUfKvf/3L63BJ9iUZoKs0dTprp54iK5aJ1K4jzR5+Uep17lyS+wrK1C7nnv1MV9c59mlNRz8j9TfqHnQJx4zA999/LxMmTJBffvlFGjVqJJ1N3fbp00caNmyYsw8BupzpuBABBBBAAAEEEEAAAQQQqLYCBOgKXLXTp08XbalWWVmZldODDz4oBx98cNb+Qu147LHH5MADD0xL/p577pHDDz88bV/UjdGjR8uhhx4aevo222wj48aNCz2vWCckGaBzB1vqDjpUmp9/YbFuI3Y+C599RhZfcpp9Xe0dBkjL4dfFTqOmXPDVV1/JKaecIq+++qpkzqOjLU5POOEEOzitAei4i/uZaXz1SGm08y5xk+B8BBIXmPPCE2KZVtappaKWNN9jkFTUb5DaxQoCfgKzn31UZPmKtMPN++8rFY0a2/uyni+zt+kue0qdps3TromyUbl0icx90bQIr1w9x1nd9h2lSa/tolzOOQgggAACCCCAQNkKEKArcNXMmTNH1llnHdHWZplLsQN02lpu4MCBacW47777ZPDgwWn7om4888wzsu++4RMO9OrVSz788MOoyRb8vMQCdGYC5Jn9+5lZUn8z8yFXSItn3pI6a61d8PLnmoG1YoXM3HFrkcUL7NZ+rV4bLxVNmuaaXLW97qWXXrID2QsWGKeApV+/fqI/A02bxjMkQBeAyqGSCXzXf0uxFv6Vlv86o56Whht0S9vHBgJeAlN3NJMiLV+edqjjY69LvbXa2/uiPl+VS5ea4VJdf9CsqC0V9eqlpTvrsXtlzvX/TdtXf9u+0mH4nWn72EAAAQQQQAABBKqaAAG6ItTY/fffL88//7x888038umnn6ZyLHaA7oUXXpC99torlb+uvPzyy7Lbbrul7Yu6oRNNXHDBBfL111/bAUh3K8H33nsvFZSsrgG6xePGysITVgU3K3r0llZ3jY5KV7Lz5o4YJssfut3Ov96/z5Bm/z6mZGUpx4ynTJkiW2+9tYQF55yy77fffnb3dWc7yicBuihKnFNsgagBlGKXi/yqhkASAbq/Pv9Eph9nhsMwf/xylrrdusu6d64aP9XZN+uRe2TOjVc5m/YnAbo0DjYQQAABBBBAoIoKEKArYsVlBsiKHaBbav4yffLJJ8uXX35pd7nVCSOuv/56qZfx1+kkSLp06SLffvutnVR1DdDNPvEYWTn2NfseG//vbmnUd/sk6AqaxsqZf8rsPfrYLRRqtVpbWr/8TkHz80v8u+++s8dgHDt2rGy00UZyww035DWum18+cfdvt9128v7776cua9KkiRx33HGy5557yu+//y733nuv6M+xe4n7c0yAzq3HerkIEKArl5qomuVIIkA399VnZeYlZ6QBEKBL42ADAQQQQAABBKq5AAG6IlZwqQN0RbxVqQkBuj932kZk/iyRhk2kzTumZWStWsUkzjmvWYP/IZVffWKuryWt3vpMKtZYI+e04l740UcfyTXXXGO3OnO3uHzyySezul/HTTvf8ydPnmzPcuxO5/HHH5f9998/tUvLvMcee8grr7yS2rf99tvL22+/ndoOWyFAFybE8VIIEKArhXr1yTMsQPfTUfvJil9/Xn3D5v+XHe58ynSBXSe1L2qAbvbTD8uc24anrtOVRjv0l7XOujxtHxsIIIAAAggggEBVEyBAV8QaI0BXROyArJIYg65ywXyZteOWdi4Vm/SSVqMeDMixvA7NveZKWf7IXXah1rh+lDTsU9iBtXWSBR3XbdiwYfLWW295YkyaNCkrOOZ5YgF36qQQ2qLUWY4//ni56aabnM3U559//ik9evQQnQDGWbSbd9euXZ3NwE8CdIE8HCyRAAG6EsFXk2zDAnRRbjNqgC5KWpyDAAIIIIAAAghURQECdEWstSgBOu0WOmvWLOnWrZs0bx5/drMi3k5gVsVoQTdz5kzR2TY1ANS9e3dp3bp1YJmcg0kE6Ba9+478deoQO8m6B/9bmp9+lpN82X/+9eorsujc4+xy1htysjQ77sSClHm5GTD8oYceslvMaes0r0UnUBk+fLgcdNBBXoeLtm+Jmb1SyzJ79uxUnj/99JN07Ngxte1eOf/88+W//109SPnpp59u34f7HL91AnR+MuwvpUAuATqdeGbJD1NlybdfyrIfp5rWuE2lwYbdpUGXjaRuqzaxb2f5nJmyZMpXdnqVC+ZJvXXXt9Or33kDqahb1ze9ysWLpHJp+kRMFY2a2JMLVC76S/76YoIs+dy0cjaTDzTYeEtptMnmUnuNJr7p5XLAMmOyLvnhW1P+ybLMmOgEPHU7dJL6HdeLPdFGIRy0fIu/+VIWffahrJz5h1Q0byENN9lCGnXvIRUNGobesv5/dsl3U2TRhI9kxYzfpL6p48Y9ekndtmva14YF6FbMm5M++YNpwV2neUv7/98r56363p3/1isye/jFaWWp02k9aX/T/av2mQkjdNZXvZeVC+amnVfRsHHojMPl6Jp2E2wggAACCCCAQI0XqJEBuu+//16uvPJK0XGwvJY1TJe/I488MnCGUv1l9eKLLxbtsqcv95mLjut2zDHHpHXb8wvQ6eyqt99+uz3TqQbnnKV9+/b29VdddZU0btzY2R3pc+7cuXL55ZfLZ599Zv8CnHlRLdO9ZPfdd5ezzipMYKkQATodA+zqq6+2J9rQcfQ0QOde2rRpYwfq+vfvL6eddprv2HpJBOjm3XidLLt3VeuqxsNuk0Y77ewuSta6Bqq0u+S8efPs8f/cJ9Q1L57bbrutXHLJJandOuvviBEjZPz48bJw4cLUfmelUaNG9vM1YMAAZ1fkT3scuv697fMrem4vrUbeHfnaKCfqBAv6PF933XUybdo0z0s0oKpBrUMOOcS3njwvLNDOxx57zJ651Ul+k002kc8//9zZzPr84IMPpE8fM5bf/y8aHP7jjz9ML+fwbs5+ATrtPqteOu5dixYtnKT5RKAoAnECdCsXLpAZ110mi8yYYbLSNeOmq6QVrVpJ69Mvlabb7+La6726YOzbMvOaC2Sl+RnyXCpqScMd+0u70y+2AzSZ50y/9hL564n0VsytL7lWlpqA1IIHTWth8//rtMX8mNbptL6seen10qDzhmmH4m6sNK2pfx92gSx+x4xHagJHXkud9TaQFkNOlKb9dg/8jiiIw6X/s/OcecXZYi0xM6RmLLWarCFtL75OmmzTN+PI6s0/7vifLHhklLk++3edOht2lXVG3CU/7b9j7Flc29//ggnStZAfB6z6/9HqHH3WzHPQ+cWPZd6bL8rsqy5IO6lh3x1lnStHpu1zNsrV1SkfnwgggAACCCCAgCNQIwN0Ouj7rbfe6hh4fuoECtrtzm/Rwe3/9re/+R2292+44Yb2zK3OSZkBupEjR9pBuXvuucc5xfNz/fXXFw0gbLHFFp7HvXbqoPs6IUTQUr9+fc/gYtA1UY8lGaDTwIXWl7Za0gBXlEXzv/nmm2WXXbJfDpMI0M067iipHP+mXZSWr3wotVu28i3WX3/9JU2bNs0KzGVe8Nprr8nOO68K9On96nMatLRt21ZmzJgRdIrvsT/7mmdp8QKp1aKdtH519aQIvhdEOKBdPrWLqD7XfvW0ww47yBlnnGFPuhAlmBUh20ROueyyy+TCCy9MpXX22WeLBsb9Fp3BuF27dnZrV+ccDdBpkDhsyQzQLdhkU9tEA7hOsH+ttdayn3d9BsrJKezeOF51BaIG6OZ/8JbMvPJsqZyT3oLJ784bmgBdu3Ou8AysaaDv9+EXyuLX0ide8UurVtMm0tqMM9bMjDfmXrwCdBUtmoeWsVaDBtL2shukSe9+7uQiry/8dJz8cclpUun6w1rQxQ132VPWufh/WacU0qF+rz6y9OMPRCozgpTuUpiAZeuLRkjzXdL/4FO5dIlMv/gUWfzuqv/XuS9xr1eYP1BUZvzBTI93fOx1M8Zce/tUv+erbuu20QN0JqV1n31f5r/ybKRZXMvV1QbhPwgggAACCCCAgIdAjQzQnXrqqXbrHg+P1K6NN95Y/Lrl6UnaFVXHnNKWdH6LBommTJmSOpwZoEsdiLCiM11qwLBOnToRzhZ7tsnDDz888Fxt5aczuxZiSSpA98svv8h+++0nH3/8cU7F9BpHLJEA3WEHS+UXH9kTQ7QZ/03gBBFqvOaaa4q2agxannjiCRk0aJB9ira4++c//xl0ut0Fes4c020oh2XmHjuI9adp3dao6aoJLnJIw7lEuxlrN9X7779fli1b5uxOfdauXdueaOHMM8+Unj17pvaX08qxxx5rBxadMj377LMS1jpx7733lueee865RCZMmGCPTZfa4bPiDtDVNcGBfuec6/vHAJ1QQwOa5bCsnDdXlk74TBr1My1lWKqdgF8ApeEG3VL3uuTH72TaYXv7thRLnZixUr93X+lwzZ0Ze0V+vfBkWfzGS1n7A3eYVlRr3zFGGnXdOHWaV4AudTBsxaS3zt1Pxe6GusrCBLR8WhD6Zdvk4CHS7viz0w6Xg0OddTtJpwdeTi/XpafL4ldWf8elHYywUeoAXbm6RqDjFAQQQAABBBCooQI1MkCnXVu1O6G+hLuDJv369ZNmzZrZgY8jjjhCtLVP0KKthbQLoqbx4YcfprWm0TG1tIurpuksQQG6Tp06yU477STrrruu6NhXzzzzTFYXTs3vpJNOcpIL/NQukjoov3bBdQcRP/nkk1Srq3IP0GnLOTXJnCHT6d7Zt29fUTdtzaR1qgGuRx55JMvl7rvvFq1PZ0kiQDfzoEFiTTVdICvqSJvxXztJ+35quXSm0k8//dQO7rpP1GdOu7MOGTIk1VpK711bdY0ZMyarq6W2stMWnjq76HbbbedOKvL6zH13E+vX70XqNZQ2H/h35QxK8L333rOfMQ1SuZ8x5xrtlq33pAHxzp07O7vL8nPgwIGiXc2dZdy4cbLNNts4m56fem/u1q/6860zvIYt7gDdx3seLHtedrnvJToOZa5BWN9EYx6wzHfJvJE3m4lF7paKLf4mrW7NDrTETJLTYwhUmha4y6Z+K8u/mCxN/nlIjCvjnRolQPfTv/eX5V9Ozkq4Tsd1pV73zWXl7JmyzIz1ps9M5tL2iptMF89dU7sXfPS+zPj/cTxTO82Ktmqrt+mWUtuMYbfs6/9j71qga7rS8J9LIhFpiIQlQigzVqeLFTTWMmYM9da10CyP6gyhCG29qqbjObqi2tCHaetRjw4xgup06jmCZdGiC9OOQdFlkBLxTIhEEpHk3vm/fe17zzn33Eci4may/7Vu9t7/3uecfb97b9Y93/3+/z9JpT9naKdFHyGjsWu3U4DFIsaeCDqo7oLjOvH/6lpUfOKYqarOU3iky8UfOjInj6Difx9zma4d04wCn2lHJZyvrfTieZd5OGK3HaLACLvatspwCOeceBzOa2XVYul5/lHJxKJXbhY56TBVnHWZMof3dlXeBQRQYJtfUVCrNlSSmUEPTp9wS1L6QtDViYmlW2uWiN08yDhHxd99q9uZJSKCQvslOHxRo16nO9u+8Kqg81dcHU9EdRQCCgGFgEJAIaAQUAiYIFAjCTqJA9RVy5Ytk0NBikEVUxGLj493qLyio6NFLiljaJoZQQdFHEI3Z86cSQg5lYZ8a0OGDCGQINJQORIqnUcxLRHh7wQd8s3NmDFD93SHDh0qwiihSDOzw4cP0/DhwwnKO2kgiqDAQ+ENWKUQdMMGke0C36jWYoLuqHeCTu4lLy9PkDjIYSYNOeigmAPhpjUQtV27dqXLly873MgriPfLo1r2oL5ku8I3j0HBTNC53nB7Oj8whhoOYd5mhtDPiRMnihDdCL65qg7WqVMnQWbLvZ47d44Qou7JoGwDsSpt9erVInelHLtrtQTdjg7d6ZVVngkvvJeRj7KqDQUA8lPXUDFunu8XiMtb4rpQw9WpVb2V/5/rMfEOgqQsl3NRsiKxLPcOWfkHHisXJ7HeuU22nGyy3c7hcEHOxZabQ7Y8Tp5f4lQ51/t0HYV0/vVjwcMbQZebvoWy39Erv7CRsJHjqXHSNMeeSm5epyuvDqOyG9cdPnQsnFex5dbvHKRaxuBuVHbdWQlZrOG8dTGfbXaERcJ3K3UZ3V31Mbo6i5j2Z4pI+L3wuSPoarf+JTX7NI1qccEGmPV+EWVOGclkpyF9BZNOyIcWHPu0WOftT97h/XTzTxNcloUmvExNps1z+AvPnKCrSUMdY9lpOHMBNXhhsBhWBQ4IM24y7yMuomD/jnH7H2l0+6NkuR1HGzl3EdXvM1CMszh0t2jvTsec6LDaMHLu+1S/l/N7Uv6xQ3QDWHBRIKP5QtBpFZq+VnHN+WKNV4LOX3E1YqTGCgGFgEJAIaAQUAgoBLQI1GiCDjm/evVy/qIPxZtZbrolS5YIdRaqPCJPlfHGHYUdkA8MqidYUlISrVixQouz6JsRdCCh3BVqQBgtkumX8o0yDMoxFAwwEn9i0sc/1YWgQxGIuLg4/s7v/NKPkMMtW7YQQiY9GVSCUJbJfF5Yi1x0e/fuFYdVBkGXM3IYWc/8YA9x/dd/PW3HZQ6vIZ6LVhkIohYhosOGDRPrs7KyBDmHgibSZs2aRQsWLJDDR2qz+3cn200mMUPCKOrgcZ/PlZqaKtSIZoo5hHyj8MOIESMomFUw1clAgAFzafhMeyMXUWgGr4m05ORkmjt3rhy6bbUE3T+f60GjVqx0uxYTvua283iS8kxy2H7+V1/S/SXvE93Th1Bbno2nhqkby3O2arvWxuHaqA5qK+QKoYVF3BYQ1Gw2VAwtYH/BPTEHv+hjjteiT5jjdVTI7X1umRgSRFsZ/pe7T4vgDaxav+1LEYuZMH0M5o2guzr/j1S4e5vuykHt2lPzZZt0PgyKzp2lrFcGufhjNqRTcPOWVJJzky4NdC1K0GTpeq4MGu9yXOabY6j4qPPHKiwI6dqDmr67TKw1JeiYTIr9+luuJttId74yfm0yBnRmidgDnT886Q2KGulKuukWPRxcfectKkx3Km7hBhnYglV9RsucPpaKjxzUuev2GUDRTHRVCQ6BtanF1sMuOQAvDurikjcufMKbFPWHJLHXi4wRiGOthSYMZwLyba1L9G99/jHdXWN/LbSTT4qg82dctfiovkJAIaAQUAgoBBQCCgEjAjWaoAP5A2JNhrkiXDIjQx9OA7IH6jhJSPTu3Zt279bnadm0aZNQbUlw3eWvMhJ0OC9CYz0RbgiZS09Pl6cWyjwQhRW16kLQITwXifqlQZWF1yYkJES6PLYgsubMmeNYAxUdCheA3KsUgm78aLL+YL/panjgP2Thyr/lsUK+kR84cCCBJJaGvYEAQwgrQqOh4pI2depUWrx4sRw+cnureyeWEvLNV3gkRe074vP5tEpR7UFQ9oGs8vRe1q73tz4IRW0+RpDi3ohgFCGBUlAaws8Rhu7NtATdpcTJFD95ittDvFWTdXtgBScK9uymog8XsJLrqukZLG3iqGHa303nHpcTRJmNk9XbOJejlatIohKl7QE/0Gefjckv4cMa+DBXdJ8JGIztcyDIcA5+kcUaMSfG7MN6qNS4pVL+QaCMH1auxukhv+jjeq5ez1s7iCK/OU4BGrW112N8XOCNoLvEhFsJE29a0yqutH70fx7Rn0ozLujcUfP/QuHd+1E+E1Y3mLjSWq0m0dTyy/1al6OfxxVSb8563TFGB2G1LTbsET4zgq5OfGdqtnitmDf+yUqezrnV9GRa6AsJ1GTme8alpuNLYxOo5KfTurkIVs5FsILOaCWshiz66UedO+SZtkwcRlUJDkHtOjCJ6kqqm5GeMj+elT8nF3u2c+GShcqQq98azR0h9qQIuqp4f1UEVyNuaqwQUAgoBBQCCgGFgELAiECNJugABtQ+UC5Jg3ILBRmkGcPY4EfhBxRBkKbNRQUCCeobMyLJSNB5qxSJ80+aNImg4JOGUM2OHTvKYbnb6kLQIdwTOeWkIdQViiVfDa+RDGmVx5w6dYpAeFQGQZe76F0q2fxXceqKhp1B4YcCGLt27ZJbJAvnVKrHZB9CYaW5U2TK+fK21vx8yunegQ+zUXkVUWZhx/L6/fv3F2pQbd5FOefvLQhgKNWkgcxF5V1PhgIOWvUr1HNQ0XkzLUEXuvAzmrV9hymxFxYWJlSf3nLhebueL/NFR49QQUoy2TKdpLDpcQEWCl243E6MMZkFgowrgzApZn8Isov7dh/PgRATY5BgTHyhz2SY8JWgjwf7ubWBHBMEGavMQJCJB1TJFVecmT6Hau4Mmb2Q6r2oD4evjKfkjaC70CvOJbecO8IG+8kyKTDwVOIEajTuDcpOW0W5yz/QbdtTHriSWzfo0otddeuZQadW+38UIbNmBF3Yy2Oo8Wtv6Y95OMr5aj3dWTxfN1en/XMiHFbndDO40K8j2fJZKamxmHXbKfhp5/cCzZTbblXgEPJ8X2qa7PrDwVUOVy7ksGWthb00mhpPnEH3OX/elcQB2ikiVuK13q8nJbULzN4/T4qg81dctXipvkJAIaAQUAgoBBQCCgEzBGo8QYck/IMHD3Zgg2qUCNOTBpJHW4kVfuMabXgcctihwIOZGQm6devWCYLQbK30paSkiPx0clxTCDotpvK5N+AcRuUxY3J9JPQfNWpUpRB0BbvTqXC2XT0VNGYqhb/qVFKVZ4+oeoq8etoCBdrjQSCvXbtWEHda/6P0iw4dpHtT7UUzAl8aS/WnzyjX6fC+RR68K1eumB6HfG4grlCRFoRjdTCEU584ccKxVYQWeytsAdIYhKU0hMcjTN6bGQm6uj16CpIW/4tQ7AQELYqAQJHnLteit2v4Ol985jTdey+ZrGc5XFuZnyMQQFSvPtUZ/Ro9lWj//Fbmhs0IlqZrt4rqpshHCILOmGcsdstBCoxsZLoNM9Ksbt+BFD1nEZmFRNbtO4jnnJ8n7UmFoqsHK7oMFruViy2wEs3sWuHjp1HUiPGGI+zD3H07KXveNN1c7WbNqcXGvTqf2QB57C72ZCwMpi38YJhyO6wKHNyFpV5bOJsKtuvVsJKgKzh+lK5NGqnbdwD/YNBq1/c6n3ZgRuA+KYLOX3HV4qX6CgGFgEJAIaAQUAgoBMwQqPEEXQHnDYqMjHTkK0N4oQw7PH/+vEu+OYAIhdCBAwcEnqdPnxaqLDHgPytXrqRx48bJoa41EnQbNmzQhcbqFj8cGFU6NYGgg5IJiqbKNlkFtzIUdKU3b9Cd/l3EFi3x3R6psiVCrZGTbs+ePbqnjPyDJ0+e9BpqqTvIh8HdpZ/QgzWfiJV1U5ZTaM9ePhylX4I9p6WliSquZ8/qw97kSuRqBNmdmJjo9znpoP7TKhl9+ZxB2bhq1Sr5dAXJOmCAQXXimHV2zAg652zV9Eq4AEleynyyfv+Nf4ZyVg0M/nMVLjaDisoBoWEcdh5BAQ0akiWqEVk47LNW0xgRzhnU+hdkYZLkcZkngg7XvNCnPefXK9RdPmb9Tgpu0VrnkwOzIgPhTC5GjZlC2Rs/p9yli+RS0Qb/phvFpKzQ+eQAhScuJfxODu0tK7pa7TvlXkH3UA2mP8g+uv31Rrr94du6qcBn21LsCj1hpVvwcIB0Fxd6tGU1KCs+NRbztx0UzFVSy2NVgYOxcIXcnyeC7sG1LLo85Hm51N5yTr9WB844inzoJ/n9YaKwfFIEnb/iasRMjRUCCgGFgEJAIaAQUAgYEfgfAAAA//+DO51DAABAAElEQVTsnQl81ET7x5/tXUo52gJyg+CFt4iIyKsIKgp44I23ovJ6i+ItKOgrAuJ94oEi4MXtjbeCqH9FBRRPEBWEtrRQSkuv/OcJJM0k2d3sbjabbX/z+bTJTCYzk+8k2eSXZ54JKCJQIw8nnHACLVy4UKWQkZFBxcXF1LRpU3rooYfo2muvVdM7dOhAf//9t7qelpZGGzdupJYtW9IDDzxAo0aNUtMDgYCap127dmrc/O+tt96iwYMH68kzZ86ks846S4/brUyaNIluvPFGfdP//d//Uc+ePfV4pCsnnXQSzZ8/X92Nj3X79u2RFuEo/+67706//vqrmveQQw6hL7/80tF+nGndunXUvn17x/mdZExPT6eff/6ZunbtSmWvvkyVE29Xd8seO4WaDj3BSRGWPIX9DiSqKCNqXkCtPlhq2e40YfPmzXTUUUfRt99+K+2SmppK06ZNo3POOUdKjzVSfNmFVPfNZ2oxee8updT8gqiL5NvHggUL6L777qMvvvjCtpzWrVvT1VdfTZdffrl6zdhmSnDixRdfTM8995zeinfffZeOOeYYPW63csopp9CcOXP0TV999RX16tVLjwdb2fLC87T9kXvUzTn3PUlNBgwMltX1dKWmhkrH3Eo1i+YRKXWul9+oCgykEKWmEaWlE6VnUiAziyirCQWa5BA1aUqBnBzxJ5ZNcymQy3/NKIWXzZpTSvPmlNqiBaWIv9QWLSkg7sWJDr8POoiUreVSM9pPm0/Z3fdU0/4ccTJVr/pR2p5/yz3UcvCpUpoWWTP8GKpZ+6cWVZet7n6Ymh95LJV99TltGHWxtC1V3Ce6ztlxX5I2iMjmj96mwjt2/BZr29I6d6EuM95Vo+un3EXlc2Zqm9Rlxv49qdNjcpqWYf2EW6n8jdlaVF1mHzOU2o+ZLKUFi6w5fwjV/L7j903Lk3fjOMo74Qwtqi+3LPmYiu67VY/zSnq3PanjlOc84ZAzbDi1HTVWqp8j6++7jcoXvi6l5555IbW58mbi+/rvR+5NVFsrbW/76HTKOeAQKY0j2//+k/4603q/7PTaB5TRtoOaP9z5xZlKFy2kortuUPNr/9L37EGdn5mrRdVl8SvPU8kjE6S0zEP7UcfJz6hpXpxf0XCVGowICIAACIAACIAACNgQCECgI/XFnF/QtcACFot2Rx99NL3//vtqMgslV1xxBZWX73iBmTFjBg0fPpyOO+44euedd9Q8LJyxgBYsQKALRkZO55eD5uIFtqxMiF87w5QpU2iPPfbQoo6XLHI1a9aM9txzT10cckugK77wbKpbvkN4bDZ9AWXu1cNxu7SMW7duVYWgYOJWSkoKPfPMM3ThhRdqu8S0rNu2jYqPOpiopooopwW1+iT4+RppRZ9++qkq1PF5bhdY9B4xYoQqaHfs2NEuS8LS7rjjDrr77rv1+idMmEA33XSTHrdb6datG/3xxx/6JhbwnQjLiRTouLFVq1fT1kcfoNrPhLhRJ7+A6weTrCssmqWk7hDOWDxLz6CA+KOMTHWdhIimCmmZOwW1bCGoZYm0rGwhroklx5tk71iKtJQmIp4t4mKZIoS3QI5YCuFNXfeBqOZmN4UTUNbdfRNte0cIu4aQvufeQjypF6m1TeUrv6P1l1nFqo4vv0eZHTpT9aZC+vOEw7Xs+rLNA89Rbq++elxb+euqc2j7sq+1qLrMPuJoan/Po+q6nUBHAaJOr9YLRNrOddsrafXQQ0nZVqElqcvmF11JrS66SkoLFvln3PVU8d4b0uZgLP687DSqXvmDlDfnpDOo7Q3jPOEQrZC0+rT+VLt+ndTurL5HUIf7npbSOLLhsfuobFb9Bw4tgxsCXWqbXajr7E+0ItVlOIHOi/MrWq7SgSACAiAAAiAAAiAAAiYCEOgEkMLCQmrbtq34WLzjZfWyyy4jtlwrKCigqqoqYss4tpi76KKLdEu7M888k55//nnKy8ujioodD/p33nknjR1r/VKtMYdAp5EIvzzssMMkiywWSM8///zwOzrI4ZZAt/WNhVRx53VqjalHDqG8yQ86qL0+C4u9LPB+9lm91QiLwmyZ+eqrr+oZ+fx78skn6dJLL9XTol0xikPpp1xALW65Pdqigu73ww8/0MSJE+mVV16hGmGxZQ5sgcqWo6NHj6Z9993XvDkhcRZBL7nkEr3u//znP/TJJ/JLob5RrKxatYr22msvPSlbiDhbtmwhPrZwwdgHmgUdW5vyh4HffvtNtd7dZ599iO8xWUI0ileo2fAvlT3xKNW8LSyJaqujq0acm6SJYiyM8R8zEFZlgVS2LOM/IZCpQtnOdSFsBVgwY4FLLFXrMV5minS2QlPXd6SzeKbGWTzbuV0V1HYKbClZIp+6LYtSOK8QtBGiIxBOoCv98C0qGrPjfmesIWfYWcJC6049aftfa+ifK86iuk2b9DReYQu5LrM/VX9POb7mrKOp5q+1vKqHQPNm1P6xWZTVpbueFkz8ybv5bsobcpqaz1agE1vShCV2+8dfpvT81mo+Fuf+HnURVX3/jV6+ttL+ubmUvbuzjyyl782nonE3arvqy9zTzqM219ymx7d89gFtvOVyPa6ttJnyLOUeskOgjDeHaIWkDU9MorIZz2hN1pe5511GbS7dMWqAE1XrxrHivKizDsZwQ6DjOphX04MOVa/vgLjGwwl0vI9fuXLbEEAABEAABEAABEAgGAEIdDvJHHHEEcQWQBw6depEbLF16qmnqvGDDjqIvvnmG1Uk+e9//6umtRBDk3iI6vHHH6/G+R/n4bzBAgS6YGSs6SxGTZ06Vd/Awwlff10ejqNvjHDFLYGOh/8UHims0XiYq7DWyX//KzGErZmj1rCoO2TIEPrwww/1/Icffjjx0EoWZdjSjAVgLbBI98gjj6hWnFpaxEthmVg06AhSioVVhBBVWi74mNLa2g/Hjrhsmx3WrFlD999/Pz377LO6iG3OxgLlgw8+SDwkOpGBh7Xz0HQW5Dmw0MbCPV/ndoGP64YbbtA3nXvuufTiiy/q8VArZoHuxV9/o2uuuUavW9uXh2MvWrSI2FIvnqFuy2baMvUpqp49XZjXyVZFlnpT0ihv0VLVKo2FtYADQdJSBhJ8SSCcQMeNtrNk4/SU/HxK4aG8Ykhv9a+riKqtwrxRlOJ9ypd/Q+svHy6GWnPMENJSKb37HqRUVlBd+VaqE9ehOaTvJSz3ptZb7gUT6NT9hLCbzsN0xZDumrWrLcN4OU/mIX3VIafmekLF1448napWfG/JktKqlbCm3p9qS4up6odllu2BFs1p13lL9Gsn3hyiFehqtpTSmpP7ifGrO+6JxgNhsTV9t72o5p+1VPPnGsHW3Ik7ckcq0JV98SltGF3/ocRYJ6UEVMvWrnM/o5KFr4Yc4sr7+ZWrdEyIgAAIgAAIgAAIgICJAAS6nUCMvuQ4if2msU8pDjfffDPde++99Oeff1KXLl3UNP538MEH60NaeWib5qNOz2BagUBnAhIiyv7AjMOOOasTn33GItkikocoL168WPXbd+KJJ6qbXRPoRGml90+k6llPq+VmXHI9Nb9sh4BrbId5nf3+cVtYjNPCAQccQB9//LE6tJfTeJjvyJEj6emnd5St5ePzVPOLqKU5XVZ8sYS2XnWemj1l/z6U/6wQZDwILHSxuPjoo49SSUmJpcYmYvggW46xFWsiA1ussdWfFrjNV155pRbVl2wVyPeHZcvqX75Z3O/XT7zMOghGga7o8ltov8tG2loaclH84YDPCy+CUllJZdNfoO3TnyLatsW+yqwcavW5VZSwz4zUZCLgRKCrWv83rT17kBByI7O4zD5qELUf95AFx/p7b6HyN+uFNksGu4TUFOrwwkLJyi6kQGdXhjFNCD/tps6mJnsIn2sRBLYU/Ou8wbZiZNBiRNvbPiL8uO0nPuwYQjw5RCvQcfM2PD6RymY+a2hpZKuRCnQ1m0tozWBhKRcidF64mLa8tzCsQMdF+JVriMPDJhAAARAAARAAgUZOAALdzhNgtfDLtOuuu9qeDh988IHqxJ837r333vTjjz9a8vGwWB6GGCpAoAtFR97G4hoPc9VEUt7KvuSmT5+u+geUc8uxf//9V7U+4/5Yu7Z+CNXSpUupd+/erk0SwbXWFhXSpuP6qtYZJMSLvDc/odTm9lZXnJ8ttIYNG0ZvvvkmR9XA1mM8zJUnUzAGFul4cgUWtoyBJ2QwThxi3BZ0va6Oik4ZTMpfv6pZcoSvpyb9/hM0ezw2sL89topk61SzmP3yyy/TGWdYfVbFox3ByuTrfODAgfpmHrbKk5uYh+Hy0NzJkyfr+di/4U8//aTHw60YBbq3ew2k858UgliQwD4I2Rcji5heBZ5IYuvs12j7M4+SUrJBrlZMhtDqi5VyGmINgoATgY4PlC2TNo6/gWrFZD5hgxgBnTP0dGpz1S2UIvz7mUOd+FhR+IQQgebMsB0iac6f2roNtbp94o7hjoaNdgIdW/XVlZZaJjow7CYssrKo9biHKbfPEcZkx+vl339NG8cJFmK4eNggxLk8MVlD3olnWrLGk0MsAh3/Bm3koa5hRLpAs1zRf3UW68RIBToG89foEbT9i88sjLSESAQ6v3LVjgVLEAABEAABEAABEDATgEBnIMJWTN9/L1uH8IvxJuFLJ1P4POJgfjnXdn/jjTekGVq1dF7+8ssvqhXXe++9RyxEaOG8885TrW64XrbGM4aVK1eqQ2ZZzDC2iYfV8ZC3o8Ssn3bDAtmvGQsNPLzQLrCvreXLl6ubeAIFLj9YOPTQQ1VLoWDb2YKIRa/qaqs1BbdTS+/cubM+0625LBZB2JrMLE5xPhY9eMhwpbDsMYYjjzxSHRLIk0awqMoWTSyw8gQdbGXHw0Y1f4LG/Xgyj2OPFTMIujSLq1b2phtHUe2HC9Ro6qEDKO9Rq+CyYsUK1eJq1qxZ9Pbbb2u7qstx48ap1oLm2X95dlce4siWXebjueqqq1SffE5n9N38xGNU9ewDan2B9rtSwbx3xTBX8facgMDnxQwxyQrPkvzdd9+pM+vyeWR3DnjZPH4Z7d69uzTxA59j3M4BAwZQUVGROoyVLWo5rxZYrLv++uu1aNilUaB7s+dRdOHTU0Pu8/vvvwf9eBByx1g3imMsf+dtqnjiAVLWrd5RmvAr1+pL52JkrE3A/t4RWH3qkVT773qpwo6z3qXMjl2kNI7UiQ8Nhc88SFvFUEPFMJmPnlGIUWldu1Or6++knH176snBVrb9+AMVTh5D1b//LAS1Oku2QG5TajpoGLUaeQOl7PwtNmayE+hYmGp21HE7BLSNJqFZ/Pal774ntbltomSJZyzT6bomAm19d55gsdW6m7jNZouZa1tdfpOY0bS9dbshJVYOhc8+RJuff9xQohBII5jFtfml11Gr80ZK+3Ok5K05VDrtkR2TRtTf+tR8aZ06U9uJU2njQ+NlYU1YJnZZ+AWlNW+p5nN6ftWJ34fCxyZQ+QdvUF2JEFhNIZhAl33kMdT+7kdMuXdE/crVtrFIBAEQAAEQAAEQaNQEINAZuv/OO++ku+66y5BCNGjQIElQ+eijj3RrOi0ji3j88s5ikzmw1RALL8YZSc15csSsgOvXr6fcXPEVWgQW11goMIsyxv122WUX1TosnZ2wGwKLfmxl5kZgP1zcLp4swxxYUOnTp485Oao4W5TNni0c1dsE9k923XXX2WyJLKl///6q2MWipNsCXZ3o4+LjhTXazmGBTcRLQs6g4/QGcn9wv4QKPDEEzwhq9Hm233776WJqsH3ZwrBXr17BNqvpVWL46ObhYigWz9gpnPg3n/EGZey2W8h9vNrIgjJfP+xjzw+BxdPBg4WloUGA43bxtc1Dk+uElYgx7L///upkJnbXvjGfcd0o0C0ZeAqddN9E42Zpne8NPCzYfJ1LmTyIVCz+nMofnULK7yup1VdCREEAgZ0Eako3UcVvq6hqzW+UmtucsoS/t8zO3XQfa5GAUoTl9PY/f6fK336iWuEbMUOUk73bnpTWIj9kMcEEurbCYo1DdUkRbRMTQ9QUbaQsMfNs9h77UorptzNkBQ43VhcXUuUvP1LVX6spNa+AMjvtKv66iglMrM8GoYqMlkOoMt3YVlu2hbatWKYeH/dNkx77qX3uRtl2ZdSWbaaazaWkVIvJusTEM2ydntYsuIW6XRnGNL9yNbYR6yAAAiAAAiAAAo2cgHgRRdhJQFjz8Ldh6U9YmEl8xBBFRQhpUp6hQ4dKeYwRMfurIsQHKb+5Do6LmS/13b799tuw+Xmfv/76S99HWxFClKN97dpgl7ZkyRKtaGkpJmxwrR4xhFAq2xwRFoGKsGSKqj4hXinCj5sihBW92C2vzFI29uym/pUtmK+nx7JS/vGHepkbD9tXqSncqBcnhF9HbRc+6fR9hFWgIoSrsPs99thj+j52K8K6Qyk84Ri9baWPPGiXDWkGAsLfZFjufK0In3mKmH3VsKez1c3TntP7Y/2c2YrwXxm0PmEp6axQj3JVLq+/T3lUJaoBgbAE1t1/p/Jr392lP05DAAEQAAEQAAEQAAEQAIFkIsCWIggGAmL4pP6ynJGRoYihk4atO1bFcDY9D7+oC+svSx5jgpiRU+Gy7AQwThfD58SH3Vp9FxZnhGWOIvxP2e7Dwo2YQEHPb1x57bXXFDFU0HY/u/qDpXG7mAULknZBWAYqwil+0DYGK9ec3qpVK0VMfGBXhZQmrJcUMRRUadOmTdhjE0Nqldtuu00RQ2SlMrRIPAQ6Lrt41NW68FJ4dF+lprhIrZJFHOG7MGi78/PzFTFLrSJmdtWaqC4nTJigNG/e3HY/YbGlniPC2lLaxxgRw9CUovPOrG/TCUcrwr+YMQvWgxAQQ5GVvLw8W/Z8Dosh5sq6deuC7B062SjQlb+/SBFDxRUxVFmqS1ivKmJmVzFvQ2XowrAVBEBAgUCHkwAEQAAEQAAEQAAEQKAhEMAQV/G2bQzsL459ShUXF9Npp52m+v8ybud19knHjvrZTxwPnYzE/5S5LMQjJ8BD/tg/neaYn4cPd+nShdjXHS95uGio4PYQV60uHuq66ZTjSCne4ccpkN+OWr48j1Jb5mlZYlqy8352xB3IyAhbjiL8+Gy67EKq+2HpjrwZWdR8+nzKEP4LEZwRYN+HQvBWfQfyZA08jJ3PL2Exq84K7KwUay7jENec+56kJgMGqkNqeWg7+5tr2rQp8cQTxuHO1lKQAgIgoBEIN8RVy4clCIAACIAACIAACIAACPiZAAQ6P/cO2hYXAvES6LixtcVFVHLmifrsl4FW7anljDnCH1FoH0pODrRKiDdlY26mvOdeokBmZtBdhNkjbbr8Eqr7bvGOPOlZ1OzZVyizx95B98EG7wjYCXTe1Y6aQKDhEYBA1/D6FEcEAiAAAiAAAiAAAo2RAAS6xtjrjfyY4ynQMdraokIqOeskXaSjzCbUZOwkyjnm2JjIi+GQtO3m/1LK7vsLkW4GBbKyLOVtX7Gcyq6/XLfio/RMavaMEOf23seSFwmJIQCBLjHcUWvDJVA0YyptfXuOdIBNjz+FCoaPkNIQAQEQAAEQAAEQAAEQAAE/E4BA5+feQdviQiDeAh03WkwSQaXDT64X6URa6uHHUovxEyhl52y9kR7c5qefpKqnJ6u7BbrvS/nTZukiHQ9/3fzwA1Q9a6rwkLZzplEW556eRZn77hdpVcgfRwIQ6OIIF0WDAAiAAAiAAAiAAAiAAAiAQJISgECXpB2HZkdPwAuBjlvHPulK77ydaj9+o76xTZpRxjmXUu5ZZ0cs1JXceiPVvFdvJRLotg/lPfMibVv0HlVOfZSUwr/1eljAa/HAY5TWtp2ehhV/EIBA549+QCtAAARAAARAAARAAARAAARAwE8EIND5qTfQFk8IeCXQaQez7YP3qXzs9USV5VqSMKdLp9SjhlDTESMdT9xQfO4ZVPfTN/Vl8FpKqlACa+vTUtMoc+RoanbBRUSBQH061nxDAAKdb7oCDQEBEAABEAABEAABEAABEAAB3xCAQOebrkBDvCLgtUDHx1W7uZQ2j72Nahcvqh+Cqh1wbh6l7NaD0vY/iDIO7EkZe+1FKU1y1NlaeTZWpbKCqv74g8quOJ9o+zZtL8syZY8DKPfuSZTRtatlGxL8QwACnX/6Ai0BARAAARAAARAAARAAARAAAb8QgEDnl55AOzwjkAiBTjs49k23ddqzVD3/ZdmiTssQ5TLQphPlvbqQUnJyoiwBu3lFAAKdV6RRDwiAAAiAAAiAAAiAAAiAAAgkDwEIdMnTV2ipSwQSKdBph8CWceUL59P2N+dT3a8ribZt0TZFvQx03I3ypr9GKU2bRl0Gdow/AQh08WeMGkAABEAABEAABEAABEAABEAg2QhAoEu2Hmsg7d26cAHVLP8+IUdT+/OPVLfya7XulP0Po9RuuyWkHcZKlW3lVLfxXzHRw0Yh1m1V/copdXXCjZzwIyf8yrGfOaVkg3EX+/XsXEobMFgMj820347UhBOoXfkD1f28TG1HysH/odROGJKc8E5BA0AABEAABEAABEAABEBAEEjtuqs6oR9ggEAiCECgSwR11EmbrhpJtV+8DxIgAAIgAAIgAAIgAAIgAAIgAAIg4AsCgW77UMEr83zRFjSi8RGAQNf4+twXRwyBzhfdgEaAAAiAAAiAAAiAAAiAAAiAAAjsJACBDqdCIglAoEsk/UZct1Ggy31yFgU89JtW8c5bVP3SEyr9jBGjKOvI/r7vibK7biPl1x8iamegZRvK+d8DlJKbG9F+yBxfAhXz51L1a8+plWReeStlHtonvhWidBAAARAAARAAARAAARAAgZAEtpwzVN0OgS4kJmyMMwEIdHEGjOLtCRgFuvyPv/N0YgM/TBJhTyV4atHg/qRs+Ct4BvMW4bsu0GUvanL19dSk3xHmrYgnkAAmiUggfFQNAiAAAiAAAiAAAiAAAjYECnvvRVRbTRDobOAgyTMCEOg8Q42KjAT8ItClDTqVso7f8bXE2D6/rW+9boT6gxGuXYH8dpR6cB/K6PsfSmnRIlx2bE8AgYoZL1Dtlx+qNefc9yQ1GTAwAa1AlSAAAiAAAiAAAiAAAiAAAhoBCHQaCSwTSQACXSLpN+K6/SLQNeIuwKH7gAAEOh90ApoAAiAAAiAAAiAAAiDQ6AlAoGv0p4AvAECg80U3NL5GQKBrfH2OI7YSgEBnZYIUEAABEAABEAABEAABEPCaAAQ6r4mjPjsCEOjsqCAt7gQSKdBV/fILVXywKO7H6FYFtSu+3zEkMiuHUrrsQak99qW6zaVU+8F8SxUpvY6ktP0OtKQjwZ8EmgweSumdOvmzcWgVCIAACIAACIAACIAACDQSAhDoGklH+/wwIdD5vIMaavMSKdAlG9PtP66kQEYmZXTvXt/02loq7Lc/UVVlfZpYS9nvUMp/7iUpDREQAAEQAAEQAAEQAAEQAAEQAIHgBCDQBWeDLd4RgEDnHWvUZCAAgc4AI8rVTVf/l2qXmCwBU9Ko4JNlFMjOjrJU7AYCIAACIAACIAACIAACIAACjYsABLrG1d9+PVoIdH7tmQbeLgh0sXdw+Ttv07bbr7IU1OSuByln8BBLOhJAAARAAARAAARAAARAAARAAASsBCDQWZkgxXsCEOi8Z44aBQEIdLGfBkplJRUdIfzN1VZLhaX2PoryHntaSkMEBEAABEAABEAABEAABEAABEDAngAEOnsuSPWWAAQ6b3mjtp0EINC5cyoUjzif6r5bLBeWnkmtPv+BKDVVTvcwVit85P3999/Ey44dO1J6erqHtaOqUATQN6HoYBsIgAAIgAAIgECsBPCsEStB7J8IAhDoEkEddZoJQKAzE0HcEwIQ6NzBvHX2a1Rx7y2Wwpo+MZOyex1iSfcioVJY9u27777022+/qdV16NCBfvjhB2rZsqUX1aOOEATQNyHgYBMIgAAIgAAIgEDMBPCsETNCFJAgAhDoEgQe1UoEINBJOBDxigAEOndI124upU0DexEpilRg+rDzqcWtd0hpXkU++ugjOuqoo6Tq5s+fTyeccIKUhoj3BNA33jNHjclBoKKigsaMGUNfffWVavlr1+q0tDS65JJL6Oyzz7bbjDQQAAEQAAFBAM8aOA2SlQAEumTtuYbVbgh0Das/k+ZoINC511VFJw0i5e8d1mpaqYHWHangrY+0qKfL1157jU4//XSpzueff54uuOACKQ0R7wmgb7xnjhqTg8D06dPpvPPOC9vY3r1709KlS8PmQwYQAAEQaKwE8KzRWHs++Y8bAl3y92FDOAIIdA2hF5PwGCDQuddppVMmUfXMpywFtnxrMaW1bmNJj3cCW8uddNJJUjUvvvginXvuuVKaXyMzZsygOXPm0MEHH0zXXnstZWdne95UHhJ8xRVX0Nq1a2nx4sXEw4TdCMneN24w8EsZDfE8q6qqov79+1NhYaEqdo0ePZoyMzMl5BdddBG9//77dMopp9Dtt99O+fn50vZERRYsWEAnnnhi2OoPOeQQ+vLLL8PmQwYQCEfAD/eAcG3EdhCIhgCeNaKhFp99ysrK6Ndff6W6ujq9glatWlHnzp3V+Pbt22nVqlVUXV0/4VyXLl2ooKBAz+905b777qPHH3+cRowYQfz7n5WV5XTXiPLFsx4IdBF1BTLHi4CCAAIJIFB85WXKxp7d1L/asrIEtKDhVFm5/AedpcaUl1tmTE/IQb755ps83lb6e/fddxPSlkgrLSkpUcQwNr3tL7/8cqRFxJx/2bJlStOmTfU2LF++POYytQKSuW+0Y2gIy4Z6nj311FP6ecv3gEWLFknd9X//93/S9kcffVTanshITU2NcvPNNyvi44Jy7LHHKkcffbT+J0R6vd1CoEtkM1F3AyHgh3tAA0GJw/AhATxr+KdTDjvsMP33S3s233333fUGXn311ZbtzZo1U4Sgp+dxuiI+vOllDR48WOHf1XiEeNaz8ZA91XeqwtNPjEfTUSYIOCIAC7p4KZ8oNyQBWNCFxBPZRuF/rrDfAUSV5dJ+KQf0pfxnXpDSvIjw17hrrrmGfvzxR/WLHU8Y8dBDD1FGRoYX1cdUx9dff01sIaOFSZMm0Q033KBF474UL2203377qTPgcmX8BZNnwzVbIUXbkGTum2iP2Y/7NcTzTDyIk3jop9WrV+vI169fT7vssoseHzZsGM2dO1ePL1y4kIYMGaLH/brCx8UWCBxgQefXXkqudiX6HpBctNDaZCOAZw1/9Bhbs7dp00a4qWbdrD5cddVV9PDDD6sJbC33559/1m8Ua4MGDaK3335bSnMSeeaZZ1Q/rVreW2+9le655x4t6toynvXAgs61bkJBMRCAQBcDPOwaPQEIdNGzs9tz0zWXU+3i9+RNaRnUavFyotRUOR2xoATML0133XWX6jg+6A4ub2AfWOwLSws8BHD8+PFaFMsGQqAhnmc8jP3888/Xe2ivvfZSRXotYcWKFar4rL0opIr70qZNm0h8qdey+HYJgc63XZO0DUv0PSBpwaHhIAACjgm8/vrrdNppp0n5+WP577//rrpO4WX37t2l7Rz59NNPqV+/fpb0cAk82VKnTp2oqKhIzZqSkkJ8rzvooIPC7RrR9njWA4Euoq5A5ngRcGRnh0wg4DIBDHF1F2jZgnm2w1wrvv7K3YoaeGliBkfdPF/ccxUh0Hl2xOKBSKpb+O5QNmzY4Fn9qMg7Ag3tPKutrVX23HNP6fy9/PLLJaBnnnmmtD2ZhorutttuetuTqd1SByDiKwKJvAf4CgQaAwIgEDcC/DvMz7LGP+EfTq/v6aeflrZxPiHM6dujWREflqUyDz300KiGy4arO171YIhrOPLY7gUBWNCJuxGC9wRgQecu87otm6l4wMHip5V/F+tD+pkjqMUNN9cnNNC1NWvWEA+nY0uXWJzOJ9KqoW/fvrRkyRK9hy655BISD096PBlX3OqXZDz2UG1uaOeZ3Yx9nHbqqaeqGH755Rdiizqjk2rh743uvffeUJh8s80rCzq2Ovjpp5/U4Ug9evSIykl3MGhCRFUtFktLS4mH0nO8a9eu0hDkYPtGks7lig8L6tD8QCCg1mF2Nr5161Zix+Vt27aNpGjbvPFkZluhS4mJvAcEOwQelshD3XhY3N57700tWrQIlrXRpHt13XgBtCEdi5kXnjXMRHbE+TpmdzNaYMv1n3/+mbp166YmiQ9n9Morr2ib1SUPbeUhrtGGf//9V52AgieN0sJzzz1HF154oRZ1ZRmvemBB50r3oJAYCUCgixEgdo+OQDiBbtasWcSm2Zs3b5Ze6ri29PR0El9kiIcfaoHNne+//34SX6WJH/7NoUmTJjRy5Mik8HdkbrvTeNHQo0lZv1rKHui0OxXMeUtKczPCL3t33303iYkNLD4uuB5+QRMO1+nGG2+MuFo+B2bPnq2+VGo78wsD9zO/WH7wwQf0yCOP0NKlS9UXQi0P+7w67rjj1HwtW7bUkh0tE/XSxL64TjjhBKmN3BaeSTbaEK++8aJfeObaxx57jPgBTAv8YMmz6grHw2oSiwBi0gH69ttv6ZtvvqHi4mJiUWP//fdX/w488EDi6z5UEBNw0JQpUyT/Kzwkg2caHT58uGVXnn2URVNt+IaWgc/zgQMH0i233KIlhVw2pPOMD/SAAw6g77//Xj9m5sH9wzPFceAH82nTpqnr2r/33nuPxEQMWlRaetX/UqUhIvES6Pj85tno+BzmlyjzecX8+Jzml6VRo0ZF7MeTZ4F+4YUX1OFKLP5v27bNcpRiQhpVjBkzZgwdf/zxlu1OEtatW6fO3MezkrLPTPZHaAw8jHmPPfagww8/nP766y9644031BkD+doTDsqNWcOux5tZ2Aa4lCGe9wB+dnrppZdoy5YtltbyhyCj24Ty8nLie7qY4EW9jwrLAHUfvg/yvZR/v++8807dD+qrr75KM2fOtC2bd2zevDlddtlllhd8fjZ79tln6bfffrN9VhBWqjRhwgSK9DfbcoAuJHh13TBrvva/++479Y/dAPCsl3w/5b8jjzxS9R/Gs2teeeWVuh9MPkS+x/JzMD9/8Xqw4MWxJPOzRjBu5nT+uMT3ttzcXF+co+b22cX5N9joA5bznHPOObobFT7/ePvGjRv13Xv27Kk+V+kJUa6Yf/PbtWunPmeJSdiiLNF+t3jUA4HOnjVSvSUAgc5b3qhtJ4FQAh0/MPIDvdHawg4cvywPGDBA3fTEE0+QMOW2y6antW7dWhJy9A0erIjZQImnnQ93TE6bwhYJPHkBC1VaKL1nHFXPfVGL7lgGUij/42WUkpMjp7sUYyezPCFEqMATHFRWVobKYtnGImteXp407buWiV9o2VqOJ57QXia0bcZl+/bt1RePYH40eF9+oVy5ciXxOcd9ww8qbPmjBX4xDyYicB5+MO7QoQNdeumlMT20cRs///xzrVriiTV++OEHPR7NSjz6xot+4WNlfyUs+prD6aefrvYZOx3mFxOzEGDMz9Y5U6dO1QU94zZtXcwERnPmzNGi+rJPnz6SNaO2QQzjVL8+a3Hjks8FPo/EjJ/GZPUcbcjnGYstQ4cOlY7ZeP6yZQO/fBv7in3gsBVXMAHVq/6XGh0i4rZAx/ca/s267bbb1I9QIarWN3EbWLRmIdhJ4Otj3DjxmyBe7p2GE088URV2WLRzGtgJ+OTJkyOqRyv7iCOOoI8//liLhlx6wSxkA2LY6OVvDV9nLHLZfajkQ+D7lPYcwr85Z599NrGIEyr897//VQVYtrDjsvmDaKjQu3dv9cOZMQ8LfSzKhwpiVme64oorQmWJ+zavrhtmfvHFFxM/xwYLOeK5ja8vnlyHLZDtAl8/fB3ZBa+OJZmfNey4GdNY5OJnbRa9tedYfrbgeze/c4QSR43lJGKdLePYQk4L3FYWgfmjDwf+QMmTkhkDfxTn8y3WwD7szOclP2udfPLJsRYt7R+PeiDQSYgRSRQB8eCAAAKeEwjlg078CCrCUoo/44b8Ezd7vd3ii27IvFwWl5mIIF7aFSFShW1fuOM1bxcPzdLhbPv8M1s/dFvfe1fK52ZEWMWEPS7xMh5xleJFQBHWI2HLNjMxx4VIp4gXFdv6xQNXzOVr9d1xxx22dThJ/OOPPxTx4CS1RViWONk1ZJ549I0X/cIHJURRiYfGWVjFKeLlz3ablse8vOCCCxTxhd+WFftiMefnuBBDbPMbfZHZ7SeEY8t+Df08s+sPMUOczkFY01gYh/Nx41X/640Ms2Ls91h90IkXc0VYxlqY2J1PdmlCwAjTWkURjr+jLv/6668PW76WQbyk2tbD93xhSWW7zXhMwqpOKyrk0gtmIRsQ40Yv7wFiGKMirFWCsuffGg5CVFWEVXLQfMZ+EsPh1H2E2KuIGSHD7iOsv9T8xn9iApmw+wnreOMunq97dd2I4X6K+AgdlofWB+bnAy2dl2+99ZYtJ6+OhStP5mcNW3g7E4UQrQgBK2g/TZo0KdTuCd8mRg1JbRcfJKU2Pfjgg9J2IQK75itOfChQxEd2qXwh0kv1uxGJRz3wQedGz6CMWAnw130EEPCcQCiBjhsjLM6UM844QzG+GGkPJfzgL6bYln5I+KFUDMNQhOWG9IPA+wgrO0UMjVM+++wzz4+TKxQzFSpiuIilXdrxRLsUpurS8dQJUWvjIXtYRLpNt94o5XMzIoZMqdzFsENFDI/S/4wP8dEIdNxGMexT4Yd6fpkPxkh8yVTEzKfqZA7Cik1hQc6cl18i7YITUddcVrC4uS/s6guWJqxcLG1evXp1sOyO0+PVN/HuFz5AMVxS4f4UFj0W8TJYH4RKZyfFfI8wB+bMTpRPOukkRVhz6f0QTKDjY+c2aee6sGDV9+H67QS6hnyeLVq0SDp+rQ+0jydiSJDtxwkxnNLcFVLcq/6XKg0RMf4OxSLQ8TkorAoszPjcE0NYlblz5yrCclQRQ7cVYf2g/gZqTI1LfsEPFZi7+aWe6+Df1Oeff14RVjuKsBRW+MOCWUgTQ5AUYVkRqnh1G5/rPJGNsV3CtYDy5Zdf6teaGHauiKG1ihgybmkP7+dEoPOKWdgDjiGD1/cAYdWq/nZq96qOHTvq/cTnhbB40uNa/3Ffsthu9wx11lln6UfP90D+ze3cubOljCFDhijCKkw9f/Uddq7whyi+1woLGsvzEF9Twh+lIobkmnfzNO7FdcOCmsbcvBTuW4JuM+YVo0EUMTOnIoYES8/BRlheHItWXzI/a2jHYLfke7CRu3k9UR/97dpql8b3V2ObxXBqKZuwfJe2i5nYpe2xRoR1rlQ+33uEj8tYi7Xs73Y9EOgsiJGQAAIQ6BIAHVUqSjiBTmMkfNAphx12mHST54cY/iJtDmIolSKm95byChN/c7aExK+77jpFDIVUv2zz1+1Y//irHs/6aQ5Fw0+xCHSFAw8zZ4t7nF8MtAeDaAU6rZHm2e60cll0NT/QsxjK4omWh5cs4tkFPrdYWOSXb+3P/MLJXwC1bcGW/JAjfMjYVeEoja0NjO0NJg45KsxBJrf6Jl79Yj6EYC8t/HDMX4BZzOAXBBYDxHAfha81O8sQthgJFbh/tX5w2gdi6Iu+D+9rJ9A15PNM+OmTjp8ZsLUwX4ccJk6caNnOeVi0cRq86v9Q7TGeG7EIdPxCrZ1j2lIM27Y9b7T2iGGIilFg4f3E0DdFTCahZbFd8nXAlnrCj5X6QUtMymCbTwzhUrp37y61a+zYsbZ5jYn8MqcdAy/5Xmongmv7fPLJJ5YPbk4EOi+ZaW11e5noe4CYcEjqK6N4y795wnemIiaG0A+bn6WEGwGFBVf+eCH8xunbtBXhA1Yqk88BFgbDBeGDUBLtxXBqRfheDLebZ9vjed3wecDPgcbrhj/e8rOMcLWhsIUiB+HTURFuEYJaQjqdXT6ex+KkQ5LtWcN8THb3HmPf8Tqfz34MPGrA2FZ+LjYH4+8Kf2zUzj9zvmjjbGhhbAOvC5+o0RYXdD+364FAFxQ1NnhIAAKdh7BRVT0BpwId78EvFmarA/7KzzdlLfDXwl133VX6MRC+O7TNjWZZ+tjDFoFuY89uSk1R/cO3FzDcejDjttoJQWxtEiwIJ+LqC6zxwSDYy6m5DHNdTh+EzeU4jbOwxOeysa1OhrA5Ld8un1t9Y2bFxxCPfrETaHioBL/EBAvcNhbZjFyFbzhFzCYabBdJPHBToLOr0MwuWc8zFo+EXzTp78MPP9QPedWqVdI2zsuWW5EEr/o/VJvcEOj4Bdx8LGxxxEN0wgUWoc0fD4QvunC7Od6+YMEC6VoxWkwFK4QFHOP1xYJCuMACtvG6ZAEoVPAzs1DtdrLNy3uAWaDT+q1Lly6K2arGSdu1PObnMifiNVvRafXzMpmf0yK9btgq3Hjswpew+nyj8TQvWWQx/l5r+8bj9yLSYzG31S5ubHssH2rN1wpziMezhvkYgn1g0vqBl8JvsXk3X8T5Ywlf9/wxhz9YsmWzOQh/zgpbY/JxiAlczJtjjvP5a/7N42vA7eB2PRDo3O4hlBcNAQh00VDDPjETiESg48rYjxu/kBh/GPlHR8xUplofGB/6OQ9/kWyMoXLFcluBrmzBPE9xuPVgxo02P5yxPxwxfXvI4+EhOMZzxelLiLmueDwIGxsuZquU2slt5uFH8Qxu9Y2ZVbz6xfyAxy+VwfwKGrkJZ8iSpQazPffcc41ZpHWjCNPQBLpEnGcS3BgiXvV/qCYazw0nIoRdWfwyZLwnsRsAFuidBrYGN+7PL15OxD1z+fxbyj7d2MpRs3hjX0tGqyq2vAsXxGzGUnvY16CTwCJd//79FbbYmDcv9O+SX5g5Oa5I85jvn/H8rbET6MRELDFbrrEVv/Gc5PV33nknKAq2NmKhRtuH/bCx5XMyBDeuG/NwcuNH5mAMWHwwW93Feq64cSzB2mtMT7ZnDWPbeZ0tvbVz1W65zz77mHfxXZx/Y4zWseYGstXcP//8Y052Lc73GSO7vffe27WyjQW5WQ8EOiNZrCeKAAS6RJFv5PVGKtAxLn6J4C/uxps9Dw8wO9uNxxeapOku8dVs46E9LCJd8c03eHoIbj2YcaPNLzJiWvWwx2L26/b222+H3ceurlgfhMNVKmatk85nPrfFLFrhdotpu1t941W/mAUa9nvmNJitfEI9UBtFmIYm0CXiPHPaR+HyedX/odphPDeiFejEzHjStX7zzTeHqtKyja0Rjb99vB7OVxxPuMT+6nj4KbtFEDNwSmWwKMd+O9mSz1g2CwLhAgvgxn14/aijjlKHNbOPO/4own7HWAgUs4aGK852eyKY2TYkDonm+2c8f2vMAh3fB90aVmqe0KVv375BafHEVsZzJpbJlYJW4sKGeFw3PGzYeOwsUjsNs2bNkvaN5FyJx7E4bXeyPWvYHdc111wjsdf6MDc3V1m6dKndLkgzEDD7uePfnGg+LBmKtF11sx4IdLaIkegxAQh0HgNHdTsIRCPQ8Z48i6TxR1/7sdSWbCGjWQX4iTVb+rHzZHaQ7MYfP3Db+YXhYy467wyLQFd4zOGe4jD2USxDG7jR5heZcL7EeB+eREQ7J3jpV4GOneUb28nr8X7oc6tvvOoXo0DDQ4IiCeaXIh5OzPcQu2AUYRqaQJeI88yOcTRpXvV/qLYZz41oBTq7CWxYMIvkz3yv4Akf7AJbGI8fP97RjJvmMjnuRKDj31mz7zq7sjiN+5CPny3zeAg/TzTg5HfaS2Z2HOOZZr5/RiK6RNous0DHbiDcCl988YXlN4wFWnNgq02j9Rxbk5WUlJizJTQez+vGPIT09ttvd3ys7MLFeG05OVfieSxOG55szxrBjosn9uDnd/bnyR8z2Gejnb/ZYPs35nTzsG4+j+MxLNjNeiDQNeYz1j/HDoHOP33RqFoSrUDHkPjB45hjjpEeWPim36NHj7h8mYm1Y3g4ATtONz5gubHOX6Ptgr0fuu5KTckOx+12+7id5taDGbfL/CLz0EMPhW0uv7gaGftVoLv66quldnKb+UUmnsGtvvGqX4wCTSRWBxpD87CiYBN6GEWYhibQJeI80/jHuvSq/0O103huRCPQ8UQMxvuRW+t290L+fTRe49HU5USgY16///67sssuu0R1bGzFFWqiCy+Zher7eG0z3z+diC7RtsUo0LEFi9vBPDET+6YzB7P1XDyP11y3k3i8r5tJkyZJ10mkzvKNs4yHYxfvY3HCk/MY70OxfKg1Xyt29z1zm6J9BjSXg3hsBOw+Doa670dbm5v1QKCLthewn5sEINC5SRNlOSYQi0DHPjnM/gb4JYR90k2fPt1xG7zKyEN8eChuNC9KofY555xzbA+h4rtlFgs6nihi6xsLbfPHI9GtBzNum5cPZ+a6wj0Ix8qOLT6NfcwvT27PpGVuo1t9Y2YVr4dmo0BzwgknmA8nbNzsvyfYTINGEaahCXSJOM/CdozDDF71f6jmGM+NaAQ69vFjvM7dWGcuPITUHHjorLl8fjlmy22eyIEn9vj1118Vti7lySf4Rfb8889XeBIVbT+nAh3XzS9bfF3yvUvb3+mSLfCC+SDzkpmZoRdx8/0znr818Rbo+Dwy9znP2qsFs/UcW43yjKZ+CvG+btgJv5ER+1d0GpiVcd9w50q8j8Vpu5PtWcPpcSGfcwJPPPGEdO7yecw+cd0ObtYDgc7t3kF50RCAQBcNNewTM4FoBTqejbNPnz6WG7728MJCGPvc8Vu4/vrr1WFD7dq1U9z4Y39C7KDZNtTUKBt772UR6TbdeqNt9ngkuvVgxm0zv8jESwiyqyuSYSjRcDzzzDOlc5ktLeMd3Oobr/rFKNA4Fc40hlu2bLEIB8G+3hpFGF53Evi61u49vHQ67MXMriGeZ074OcnjVf+Haovx3IhGoGMfbOyzyHiuTJkyRXnzzTcj/mMn/Oy8nD/8mAP/PrZo0UKqp3fv3oqTIY1sga61LxKBTmsDz5A8depUZeTIkQr7JTv00EOVAw44QGFLOR6qGsyKPJgluFfMtPZ7vfTyHhBvgY7ZGX9X+DwaMGCAjtRsPccTnvgpeHHdmPubf/udBhY7tWuTl6EEOi+OxWm7jecELOicUmtY+fh9zHju8rpxpne3jtbNeiDQudUrKCcWAhDoYqGHfaMmEI1AxzM39uvXT7rZ84vA6aefLqXxl/ynnnoq6rY1hB2Lzj7NItAVHnekZ4fm1oMZN9j8YBtPge7rr7+WzqVgL49ugeSXWfPDS7wtC9zqG6/6xSjQsAAfif+S9957T+LLVkLBHBQbRRi28HAS2CrJ2H9OBbrGcJ454eckj1f9H6otxnMjGoGOyzZ/WJo2bVqoKqPaxkP5jecjW6g5mfGYK+PZkbV9nQh07EOOfY2xA3uewClcYMtgnuCFZ/HT6uElW8MHC14wC1Z3vNO9vAd4IdCx6wCzFSVbypit5/Lz8xX+cOKn4MV1w9ehcSQF39eCuVswsmGhmn2fGa+ZUAKdF8dibF+o9WR71gh2LPzxgYco80zV/FGOrY6d3POCldeY0v/3v/9J5y6fxzyBkNvBzXog0LndOygvGgIQ6KKhhn1iJhCpQMdThfMMccaHlMMPP1xh/278osAzexq38YMiz1zYWEPpg/dbBLqNB++m1AmOXgS3Hsy4rV4JQVzX999/L51Hp512GifHLdx2221SfXwO//zzz3Grjwt2q2+86hejQMN8zjrrLEd8eDIIsxjATuqDBd5mvIeEe4nkFyfz8FmnAl1jOM+CcY403av+D9UuNwQ6o0jC59kpp5wSqsqotvGHKeM5fNVVVzkqxzxE0YlA99prr+l18YcGp4Ffdo1tZMuaYMP6vWDmtN1u5/PyHmDkyM9G8Qqnnnqq1LfHHnusalFp7O8JEybEq/qoy/Xqutl3330lPmxhyhZvocLEiROlfZhlKIHOq2MJ1WZtW7I9a2jtNi556CTfo4znMK937do16ERtxv0b+/rll19uYbd69WrXsbhZDwQ617sHBUZBAAJdFNCwS+wEIhHoeJp4ftAz/kDygw37otMCvyzbzeLzwAMPaFka1XLbksVWgU74odv2+WeecHDrwYwb65UQxHXxzLjG84wtUJwE/prKw1D4pSuSwMPcjPXxutF3TyRlOc3rVt941S9mgYYZ8azIoQLfD6655hoLW/bNEyywGGvsC7YMChXuvfdeKT/v61SgawznWSh2kWzzqv9DtckNgc7sg4rPl5kzZ4aq1rKNrT95iOsdd9yhzJs3z7LdPHv1iBEjLHnMCXwu7rXXXtK57ESgM/q5YtGHLcKcBP7YZrzOeD2YNYoXzJy0OR55vLwHeCXQrVixQrISM/dzq1atHFt0xoN5sDK9um7Y4tTMpFOnTgrPEmoO/FvCIr45P8dDCXReHYu5vXbxZHvWMB/DypUrFZ753a4POM1uMhRzGY09bjwHNI7Gdze3+LhZDwQ6t3oF5cRCAAJdLPSwb9QEnAp0bAUzePBg6QeS/VDxDG/mwC/lV155pZSXfxAiccZrLjNZ43VCMGKLOZ4cwvhXMmWSJ4dk/LGMxfcIN9YrIYjr4hdF89dSHiYZLLAvKH4JNvqXYkfsTsPs2bMt5+vLL7/sdPeo8rnVN171i51Aw9c1O7a388PFPub69u1r4dqtWzfV4jYYNKPgwOWzOFtYWGjJzvcZ9ndi9+DuVKBrDOeZBVyUCV71f6jmuSHQsbjGw2O1lxReNmvWTJk/f36oqtVtfF7xEB5+mTfuv3TpUmlf87BJvpcFE/z5HGSfcTzk0FgmrzsR6EaPHi3t17p1a3XSCalBNhGzM+82bdrY5NqR5AWzoJXHeYOX9wCvBDpGNnz4cOm8MJ5bPEzQj8HL6+biiy+25cN+GvlDNFshsqVdsPse8wwl0Hl5LOH6MtmeNczHM3nyZNu+0s5pHrLMo3gQghMwj0zgWb/jEdysBwJdPHoIZUZKQLV1FzcbBBDwlMCmq0ZS7Rfvq3Xmf/wdpTRtKtUvvsTSsmXLSFixkPCpIW0bN24ciYccEpMtSOnCdxcJHzcknO+SGPYqbRNDfUi80FPPnj2l9IYcKRo6UJj0rJEOMWWvnpQ//RUpLZqIeCihDz74gMRMgLa7i6+4tHz5cnWbmF2XhKWYbT5OFM7ESby4WrZz2eLlkoQfGxIvkvr2YcOGkXiQJTF8kYQQo6fzipidkIRwRGKYB3322Wf6NuE7hPbff381v5hgQ0+3Wxk6dCiJmT71TU2aNCFhsUJiSDU1Fefpn3/+SWImRBJDvNR1PePOFWFqT4899pg52TYunLdT27ZtpW3i4ZvElPFSWiSRePeN1/0iRAYSQ+BsEQifciSc25MQFIjPsx9//FE9B8zXv7DwUc8l4cPSthxOFA77aciQIdJ2IV7QjTfeqJ47WVlZtGrVKhICrHRuGXcYP348iQdQOu6440i8cBk3WdaT/TyzHFCcErzqf/69EYKX7bl2ww036OmdO3emUaNG2R4tn4/ipZSEWGW7XYjHJHyukbAKl7YLH1MkLD5pjz32oF133ZWEMEWrV68mMfSUhJUdCafalt80LkBY06n3Qq0wLrd58+ZUVVWlJZEQkkm4gKBBgwapx8D3B2EZQmLGcxICtJ7PuCImmiC+DwkBkYQ4abnPcl6+LoTgYtxNvQbPO+88En5hie+zxt/ooqIi9b7I14jx+hQ+nUi8CEvlGCPxZmasy+v1eNwDuE/5OYh5a0F89KEvvvhCi5Lw46qvm1eEL0ISH0XVvjRvcxIXQ5jVe7Kxj3k/IcSSmHWY+PfUb8HL60ZYDxFf78La3jEGvgcar+lQzwheHktDe9Ywd4gYXkw33XSTOVmK//777+o9W0pERCfA173w0GjXTQAAQABJREFUG6zHxYzfJD5K6XG3Vtysp7D3XkS11RTotg8VvDLPrSaiHBCIjECkih7yg4AbBEJZ0L344oshv1qJM1xhJ+4lJSVSU8z+PTif+Y+tfhpL4FlbjdZz6nqfvRVFWADFGs4991wLWzNrp3G2RDJbKrGVEltWhCpDCDLKP//8ox8Kz1QYbKZArRwhsCnhJmHgGaaMzpy1fZ0seaiXEAb1NjlZES/k0nFG64ReqyuefZOIfjFaEvB1LwRNiVe4fmErIqdD3c3OuMOVHWw7W/CFC8l+noU7Pre2e9H/QryI6JwK1u+cLj4ghDx0PhdD7e90W//+/W0nPLHzWRWuTL7f8XUSLB8P9TIHswWd3b5sncezyArh0bZ8troTHzzMRVvi8WZmqdCjhHjcA5w8B9n1lTFt7ty5MRFg62ZjebzO7hz8HLy6bpiBENsUnrnbzgrbzI2t6sxWcaEs6Lh8r46loT1rMDtjeOGFFyznsbF/cnJy1L407oP1egI8GYSRF6/HYwZnt+uBBV19H2ItcQQwxDVx7Bt1zaEEujvvvNNyUzff5Dn+7rvv6gx5KIz4Mht2P2HZpO/T0FfK5s62CnRiyOt24XMo1sAvh3Z9Em0aDxU1Bn6ADSe2cV3G4ac8uYKT+p2ItDwsmsU2J+VxHs47YMCAoMPJjMdmXhcWJ1I9XBaLjdGGePZNIvrFKNDwjM0s5gpLN4lZsH5iccBOXAjGlmfVKygocFQ2T1ojrHVt8/KQZychmc8zJ8fnRh4v+v/111+37cdg51WodBZIwgVhfayKVqHKCbatV69eytNPPy2+s9h/aOF0YcHp+HjYnysLAPzSH6xOYW1nOaT7778/aP5g5RjTWZxzMoulVnE8mWl1JGLp9j2AP2IYOUezzsOpYwk8bNtYL39UYd+Dfg5eXTdGBnzd8cygYhSBwh8PmRn//rN7Bf6te/zxx9VJ0ITltsQznEDn1bE0tGcNY9/wenFxscJDj43nsnHd6SQ85nIbS/zWW2+1sOOPYW4Ht+uBQOd2D6G8aAhAoIuGGvaJmUAogU4MU7TMvmj8UeSv8uw8l324GAPPDiaG91h+EHhfMfRIEUMcFTE8z7hLg16vXvePrUC3ZWZoB/tOoPAMfvyCZeyXaNbZaoOtllj4MQf2Ccb9Zlcui3diCJXF4TQ77Q0m1PJLAs8AGmzGQHP97Lvp5JNPVsSQH9s2sAUfizQs+q5bt868u+O4GMJtKZ99nEUb4t03XveLWaDRuLBjbRbz2c+N5puL7w18PvGDM4sKYpiVlt3xkgVAtgywE2jZ0ogFjVdeeUUVSJg1f0U3nqN5eXkKTyDhNCTreeb0+GLN50X/b926VRHDn6O2nNX6n53gO7XWZP+qwl1DWEthLlsMq1V4xmf2r+gk8HnPIl4osZn9zLGljXY/ZGtk86zHfL7zbOlma3VuA38g046bLYFYND/wwAND+s7i/OyDiH07MfNIQzyZRdoWN/O7eQ9gcY19G2p9E8mS73l8Dgj3FDEd3kknnSTV//DDD8dUnlc7e3HdBDsWFtX4+dTOwp8tLY396ERA9eJYGtqzhl3fCNcHinCNI/Hn+x1PQiWGE9vtgrSdBNhfuPG8ZV+u8Qhu1wOBLh69hDIjJQAfdOLugeA9gXA+6LxvUcOssbDfgUQVZdLBpQ48ifImBPf5I2VGRCUgXlBJWHvQ33//rfqMYz9UQhQiIRTGTEg8mJP4Yq76nNIKE8IgzZkzR4s26iX739F80LFvKyGO2fIQL++u9IdWuLD4UP3ZCctM2rJli+pXif1qsR/CeAWcZ1ayiep/a0vil8L9zr7W+I9DWVkZsS8wvs/wUlhFRVU5+4hif658DrP/L/ajyD4v2R+nEJqjKtO4k5iVUi2ffTfyPYwDX4fsf3Tt2rWqjzs+Nm4/Hwf/sY89Iboai4lqPV7MomqMizvF8x7gYjODFiWGm0m+ftkXJ/vpcuO3MmilLm+I93UTaXOF2xfVh7K2n7BeDeoHU8ujLf12LFq7kmkpXqxJiKfqecy//3vuuSexn06E4AT4N8Ds75n9h7M/ZzdDPOqBDzo3ewhlRUsAAl205LBfTAQg0MWEz/HOxReeTXXLv5TyB9p1pYIFi6Q0RBJLQFhckTDT1xshrLJIWOWpTtr1xEa64lSgaaR4IjrsZDzP0P8RdTEyg0BCCZgnvuAJk3jiJIToCTA/MfuxXoCwjiUxM68exwoI+I3A2LFjiQU5LfDvOAv1PKGXmyEe9UCgc7OHUFa0BCDQRUsO+8VEAAJdTPgc71w6ZRJVz3xKzp+SSgVLVlJAzO6H4A8CPOMez5bIM7xpgWe+ve6667Roo11CoHGv65PxPEP/u9f/KAkE4klA+FSTZmTv2LEj/fbbb8TXMEJ0BNhqn61T2TJVC8L3Lh199NFaFEsQ8B2BHj166Bbh3DiepfzBBx90vZ3xqAcCnevdhAKjIACBLgpo2CV2AhDoYmfopIRtH31A5aMvs2RtNm0uZe6zryUdCYkj8Oijj5LwnaY3gIeD8cuN8HWnpzXGFQg07vZ6sp1n6H93+x+lgUC8CIjJSeidd97Ri3/yySdJTIKgx7ESGYEffviBRowYQSx8aoGHi/Pw8Xi6WtDqwhIEoiGwaNEiOuaYY/RdxaRZqvWc8NGqp7mxEq96INC50TsoI1YCEOhiJYj9oyIAgS4qbBHvVFtaQpsG9rLsl3nN7dTs3Ass6UhIHAHh1Fn13fP999/rjRCzS5KYEEWPN6YV9sXEFl/CAbB+2GLWOOIhU8bAAiZbGAiH9sZkrAchkCznGfo/SAciGQQSTICtudinoTGwn0P2naoFMeGE6p+QfdCJybu0ZCwNBL755huaPXs2/fLLL6qfxjZt2hC7t2CrOf44J2YuJr5fG8Ptt99O48ePNyZhHQR8RUBMnkYfffSR3iYxqQndcsstetytlXjVA4HOrR5CObEQgEAXCz3sGzUBCHRRo4t4x8IjhUC3tUTaL/WIwZR3/0NSGiKJJyCmoCcxm6T+UH7YYYfR4sWLE98wj1swevRoYkfY7JzZSejatavqCN8N5/NO6kv2PH4/z9D/yX6Gof0NlQD/Hg0aNIjELLyOD/Haa68lMbux4/yNISNPfMS/W2L2ZMeHK2YTJZ6YBRMUOEaGjB4TMA9zP+SQQ2jJkiWujwSJZz0Q6Dw+aVCdLQEIdLZYkBhvAhDo4k24vvziS86numWyyBNo05EK3qz/wlWfG2uJJjBhwgTpa+OqVatojz32SHSzPK2fLeLYoXAkgR8C+/TpE8kujTqvn88z9H+jPjVx8D4mwJMZ8WQzkQQe4sYzYSPUE+DZVdmy0GwhV5+jfo1nwB0zZgzdeOONlAbfwfVgsOY7AiNHjqSnntrh9zo/P5++/PJL6tatm+vtjGc9EOhc7y4UGAUBCHRRQMMusROAQBc7Q6clbH74Aap6UR4WSJgowim+hOTjl6DJkycTf2X/6quvqFcv6zDlhDTMo0rZ786zzz7ruDZ+geFhQQUFBY73QUZSZw7243mG/sfZCQL+JDBv3jxpKKuTVvJQNB6uiSATYKGTh6tWVFTIG3bGeJKNAQMGEFsUszN8BBDwOwFNOGvdujUtWLCAevfuHZcmx7MeCHRx6TIUGiEBCHQRAkN2dwhAoHOHo5NStn0oJoq40eqoufnMNylj98ZlmeWEl1/ysCNo9kc3ePDgRudfra6ujngYJvugCxdYnONhFHl5eeGyYrsNAT+eZ+h/m45CEgj4hAB/NFq/fr2j1vB9mS2bYfllj6uyspJWr16t/tbxLO5ZWVnElkcscHTo0MF+J6SCgE8JrFu3jpYuXUpHHnlkXJ/J4lkPBDqfnlyNrFkQ6BpZh/vlcCHQedcTNYUbqeS4wywVZt9yLzU95TRLOhJAAARAAARAAARAAARAAARAoDERgEDXmHrbv8cKgc6/fdOgWwaBztvuLey7H9H2bVKlaScMp5ZjxklpiIAACIAACIAACIAACIAACIBAYyMAga6x9bg/jxcCnT/7pcG3CgKdt11cdMZJpPy+Qqo0Zff9KX/mbCkNERAAARAAARAAARAAARAAARBobAQg0DW2Hvfn8UKg82e/NPhWQaDztotLxt5GNW++Ilea1ZRaff6dnIYYCIAACIAACIAACIAACIAACDQyAhDoGlmH+/RwIdD5tGMaerMg0Hnbw2WvvkyVE2+3VJr33peUmpdvSUcCCIAACIAACIAACIAACIAACDQWAhDoGktP+/s4IdD5u38abOsg0Hnbtdt/+pG2nHuCpdKmD02j7L6HW9KRAAIgAAIgAAIgAAIgAAIgAAKNhQAEusbS0/4+Tgh0/u6fBts6CHTedq1SVUVFffcmUhSp4swrbqFmF14spSECAiAAAiAAAiAAAiAAAiAAAo2JAAS6xtTb/j1WCHT+7ZsG3TIIdN53b+FRvYm2FEsVpx59MuXdO0lKQwQEQAAEQAAEQAAEQAAEQAAEGhMBCHSNqbf9e6wQ6PzbNw26ZRDovO/e4vPPorqVX0sVB7rtQwWvzJPSEAEBEAABEAABEAABEAABEACBxkQAAl1j6m3/HisEOv/2TYNuGQQ677u3ZNxYqlkwQ644O5dafbZMTkMMBEAABEAABEAABEAABEAABBoRAQh0jaizfXyoEOh83DkNuWkQ6Lzv3bKXZ1Ll5DGWivM/WkYpubmWdCSAAAiAAAiAAAiAAAiAAAiAQGMgAIGuMfSy/48RAp3/+6hBthACnffdWrnsWyq75HRLxblPvUxZPQ+2pCMBBEAABEAABEAABEAABEAABBoDAQh0jaGX/X+MEOj830cNsoVGgS7t2FMokNO0QR6nnw5Kqa6imoWzLE1K2bsXpe7Rw5KOBBAAARAAARAAARAAARAAARBoDASq57ygHiZ8dDeG3vbvMUKg82/fNOiWGQW6Bn2gODgQAAEQAAEQAAEQAAEQAAEQAIGkIACBLim6qcE2EgJdg+1afx8YBDp/9w9aBwIgAAIgAAIgAAIgAAIgAAKNjQAEusbW4/46Xgh0/uqPRtOamvXrqHbz5kZzvH450K0TxlPdiq+k5gTy21LuQ09LaYiAAAiAAAiAAAiAAAiAAAiAQGMjkNIkh9I7dWpsh43j9QkBCHQ+6Qg0AwS8IFB6/0SqnmUS4zKyqNWSFV5UjzpAAARAAARAAARAAARAAARAAARAAARsCECgs4GCJBBoqAS2zp1NFffcZDm8/I++pZTcZpZ0JIAACIAACIAACIAACIAACIAACIAACMSfAAS6+DNGDSDgGwKV339HZRefamlP7rOvU9b+B1jSkQACIAACIJAYAqWT7qWm511IaW12SUwDUCsIgAAIgAAIgAAIgICnBCDQeYoblYFAYgnUlW2h4v4HWRqRfftEanrSMEs6EkAABEAABBJDoGhwf1IqK6jljLmUtkvbxDQCtYIACIAACIAACIAACHhGAAKdZ6hREQj4g0DhoT2IaqqkxmRceDU1v+JqKQ0REAABEACBxBEo7LM3UfV2oty8HSJdu/aJawxqBgEQAAEQAAEQAAEQiDsBCHRxR4wKQMBfBIqO7UdK8XqpUWnHDKOW/5sopSECAiAAAiCQGAK1m0tp04CD6ytv2pJaCEu69PYd6tOwBgIgAAIgAAIgAAIg0KAIQKBrUN2JgwGB8ASKzzmd6lZ9K2VM2ecQyp82U0pDBARAAARAIDEEKpd9S2WXnC5X3rQFtXhJiHQdOsrpiIEACIAACIAACIAACDQIAhDoGkQ34iBAwDmBTTeOotoPF0g7BFp3pIK3PpLSEAEBEAABEEgMga1zXqeK/91srTxnp0jXESKdFQ5SQAAEQAAEQAAEQCC5CUCgS+7+Q+tBIGICmx+aQlXTH5f3y8imVkuWy2mIgQAIgAAIJIRA6f0TqXrW0/Z1N2lGLaYLS7rOne23IxUEQAAEQAAEQAAEQCApCUCgS8puQ6NBIHoCW2e/RhX33mIpoOCz5RTIzrakIwEEQAAEQMBbApuu/i/VLlkUvNLs3B0iXZcuwfNgCwiAAAiAAAiAAAiAQFIRgECXVN2FxoJA7AQqvlxKW684x1JQ81fepYxu3SzpSAABEAABEPCWQNGw40lZ+0voSoVI1/yF2ZSx666h82ErCIAACIAACIAACIBAUhCAQJcU3YRGgoB7BKrXrqXSYUdZCmz60DTK7nu4JR0JIAACIAAC3hIo7HcgUUVZ+Eqzmu4Q6fBxJTwr5AABEAABEAABEAABnxOAQOfzDkLzQMBtAkplJRUdvo+l2Ozb7qOmJ59iSUcCCIAACICAdwR23KP3FRUqzirNyqHm04QlXffuzvIjFwiAAAiAAAiAAAiAgC8JQKDzZbegUSAQXwKFh/YgqqmSKskYMYqaj7xcSkMEBEAABEDAWwLbf15FW84eElmlmU2o+fOvU8buu0e2H3KDAAiAAAiAAAiAAAj4hgAEOt90BRoCAt4RKBzQh2hzoVRh2gnDqeWYcVIaIiAAAiAAAt4SKH/7Ldp2x9URV5qy50GUN20mBdLSIt4XO4AACIAACIAACIAACCSeAAS6xPcBWgACnhMoOnUIKWtWSfWm9hlIeY88KaUhAgIgAAIg4C2BzU88SlXPPuio0kB+W0o7Zig1OflUTBbhiBgygQAIgAAIgAAIgIB/CUCg82/foGUgEDcCxZddSHXffCaVH9htPyqYNUdKQwQEQAAEQMBbAptuup5qP5gfttKc+6dSkyP6h82HDCAAAiAAAiAAAiAAAslBAAJdcvQTWgkCrhIouf1mqnnndanMQH47Knj3UykNERAAARAAAW8JFA8/hep++T5spRmX3kDNLx0ZNh8ygAAIgAAIgAAIgAAIJAcBCHTJ0U9oJQi4SqD0gclUPcM0nDU7l1p9tszVelAYCIAACIBAZAQKj+pNtKWYKKc5pR11PGWL4atlV11MVF4qFRToshcVvL5QSkMEBEAABEAABEAABEAgeQlAoEvevkPLQSBqAlteeJ62P3KPvH9KGrX6SvZLJ2dADARAAARAIK4EFIVK7r6Lso8fQlkH9SQKBNTq7KyeeVvee19Sasu8uDYJhYMACIAACIAACIAACHhDAAKdN5xRCwj4isDWBfOoYtwNljYVfL6CAllZlnQkgAAIgAAIJI5AxdIvaOuV51oakHXdWMo925puyYgEEAABEAABEAABEAAB3xOAQOf7LkIDQcB9Ats++5TKr7vIUnDLhZ9SWtt2lnQkgAAIgAAIJJBAXR0V9juAaPs2qREpPXpS/ouvSGmIgAAIgAAIgAAIgAAIJCcBCHTJ2W9oNQjERGD7jytpy3knWspo9sI8ytx7H0s6EkAABEAABBJLYNOoq6j207flRqSkUv5H31JKTo6cjhgIgAAIgAAIgAAIgEDSEYBAl3RdhgaDQOwEav5dTyVD+lkKynngWWrS7whLOhJAAARAAAQSS6D8/UW07eb/WhqRPfZ+ajrU+sHFkhEJIAACIAACIAACIAACviYAgc7X3YPGgUB8CCjbt1NR370thWePmUxNTzjJko4EEAABEACBxBJQqqqo6D9imGtNldSQ1MOPpbwHH5PSEAEBEAABEAABEAABEEg+AhDokq/P0GIQcIVA4SF7ENXVSmVlXTuGcs85T0pDBARAAARAwB8Eii8+j+q+XyI3JiuHWn32nT7jq7wRMRAAARAAARAAARAAgWQhAIEuWXoK7QQBlwkU9hG+5qorpVIzRoyi5iMvl9IQAQEQAAEQ8AeBshnTqfKBuyyNaTZtLmXus68lHQkgAAIgAAIgAAIgAALJQwACXfL0FVoKAq4SKDyiJ1H5ZqnM9DMvoRY33CSlIQICIAACIOAPAjUbN1DJ8X0tjUkffhm1GDXako4EEAABEAABEAABEACB5CEAgS55+gotBQFXCRQdczgpm/6Vykwbeha1HDteSkMEBEAABEDAPwSKju9Pysa/pAYFOnSngnnvSGmIgAAIgAAIgAAIgAAIJBcBCHTJ1V9oLQi4RqDoxGNI+ecPqbzU/kMpb9IDUhoiIAACIAAC/iFQ+r/xVD3nBblBgQDlLfqKUlu0lNMRAwEQAAEQAAEQAAEQSBoCEOiSpqvQUBBwl0DRmSeT8ttyqdCUQ/pT/uNTpTREQAAEQAAE/EOg4qsvaevlZ1salH3rBGo67FRLOhJAAARAAARAAARAAASSgwAEuuToJ7QSBFwnUHzxuWI2wC+kclP27kX5L8yS0hABARAAARDwEYHaWio8fD8xyc92qVGpfY+hvIcel9IQAQEQAAEQAAEQAAEQSB4CEOiSp6/QUhBwlUDx5ZdQ3VcfSWUGdtuPCmbNkdIQAQEQAAEQ8BeB4ksvoLpvP5cb1aQZtfrkGyIx3BUBBEAABEAABEAABEAg+QhAoEu+PkOLQcAVApuuvYJqP39XKivQZU8qeP0NKQ0REAABEAABfxHYMv0F2v6QdUKf5q+8SxnduvmrsWgNCIAACIAACIAACICAIwIQ6BxhQiYQaHgENt10PdV+MF86sEC7rlSwYJGUhggIgAAIgIC/CFT/9ReVntzf0qjMkTdSsxGXWtKRAAIgAAIgAAIgAAIg4H8CEOj830doIQjEhUDJHbdQzduvSWUHWnWggrc/ltIQAQEQAAEQ8B+Bwv6HEJVtkhqWss8hlD9tppSGCAiAAAiAAAiAAAiAQHIQgECXHP2EVoKA6wRKxt9JNfNfksoNtGxDBYsWS2mIgAAIgAAI+I/AptHXUe1HC+WGpWVQq8Vidu7UVDkdMRAAARAAARAAARAAAd8TgEDn+y5CA0EgPgRKJ/6Pql99Ti48N49affSVnIYYCIAACICA7whsXbiAKu4aZWlX0ydmUnYvYV2HAAIgAAIgAAIgAAIgkFQEINAlVXehsSDgHgF2Ml41Uwh0wuKCMsRfegaltGlLeQ897l4lKAkEQAAEQCAuBOq2bKbiAQcTKYpUfvrwy6jFqNFSGiIgAAIgAAIgAAIgAAL+JwCBzv99hBaCAAiAAAiAAAiAgIVA0ZABpPz7p5Qe6L4vFbw8V0pDBARAAARAAARAAARAwP8EIND5v4/QQhAAARAAARAAARCwECgZexvVvPmKnJ6aRgWLV1AgLU1ORwwEQAAEQAAEQAAEQMDXBCDQ+bp70DgQAAEQAAEQAAEQsCdQ/u47tO22Ky0bc596mbJ6iuGvCCAAAiAAAiAAAiAAAklDAAJd0nQVGgoCIAACIAACIAAC9QTqyrZQ8VE9LX7oMs67gppffV19RqyBAAiAAAiAAAiAAAj4ngAEOt93ERoIAiAAAiAAAiAAAvYEio7vT8rGv6SNKXscQPkzXpfSEAEBEAABEAABEAABEPA3AQh0/u4ftA4EQAAEQAAEQAAEghIouf1mqnnHJMalplOrJSuIUlOD7ocNIAACIAACIAACIAAC/iIAgc5f/eFaa0remkNKZWV9eSkBanHcyZSSmVWfhjUQ8CGB6uKNVPbJ+1LLMrvvTjn7NR5/SpbrV9BoNvB4SmvWQuISa6R8xTLa/stPUjFNDu5DWZ26SmlOI5Z2477jFB3ygUDUBMrfepO2jbnGsn/us69T1v4HWNKRAAIgAAIgAAIgAAIg4E8CEOj82S8xt+r3QQeRsrVcKqf9tPmU3X1PKQ2RxkWgbvt24auorv6gU1IpJSOjPu6DteJXp1HJw/dKLck8tB91nPyMlNaQI15dv+un3EXlc2ZKKHNPPYfaXHuHlOY04lW7nbYH+UCgMRCo3VxKmwb0EoeqSIebedloanbJZVIaIiAAAiAAAiAAAiAAAv4lAIHOv30TU8vwohwTvga5c/nyb2j95WdLzsTT9+xBnZ+Z66vjLX7leSp5ZILUJgh0RPEQ2O0Eupxhw6ntqLESf6cR3HeckkI+EHCXQNHRfUkp2SAVmnLwfyj/yeekNERAAARAAARAAARAAAT8SwACnX/7JqaW4UU5JnwNcufSRQup6K4bpGODQCfh8E3Eq+sXAp1vuhwNAYGYCGy69gqq/fxduYyc5tTqk2/kNMRAAARAAARAAARAAAR8SwACnW+7JraGefWCH1srsbeXBCDQeUk7trr+vGQY1fyztr6QQIA6PjOPMtq2r09zYQ0CnQsQUQQI+IBA2UsvUuWD4ywtafnm55TWZhdLOhJAAARAAARAAARAAAT8RwACnf/6xJUWQaBzBWODKgQCXYPqTlcOBgKdKxhRCAgknEDVr7/S5rOOs7Qje+z91HToiZZ0JIAACIAACIAACIAACPiPAAQ6//WJKy2KRqBTamqocvVvVPnrj1S15jdKadqMsnbrQVm770Xp+a0ibld1SRFV/vyTWl5d2WbK6NxNLS+za3dKSU8PWl5dxTaq214hbU9pkqtOZlC3rZzKV35Hlcu/VSc7yNr7IGqyzwGU2jRXyu9GpKa0mCpW/SiOYTnVlW+l9LYdKb1jZ2qyx96UmtvccRXx4KDU1lLFLz/StmVfUm3RRkpp0ZKy9zmQmvTYn1KysvW2KYpCtZs3qfEtH79HmybfqW/jlbQuu1KHR1/akSYmjNBmCeVjN4ZAapp+zNWbCmnrF59S1do/1D7JO/1Csa2ZMbu6Hu1xx+KDTqmro9otJZa2pOa2oEBqqiW9rqqK6raVSempTZtTIC1NSuPI9r/WUMXPK6imcAPVFhcSifJSm7ektLwCyul1mLhGWlv24YRQ5zNvL/tmCW1ftZJqNxVRk4MPo9w+R1DNZnEMxsk8KEBpLfI4u23g4ygX50L1v/+I82GDOF/LxfUrrhnRvqxdd6Mm+/eiQEqKZd9QAh2zrPzjF6r48XuqXrua0tt1Us+xrG6727LkwqO579Rtr6QKcc+p/PEHqtmwXpzLeZTeviM1O/QISmmSY2kzEkAABGwIiHt94WH7EFWLiYAMIe2406jleHnSHcNmrIIACIAACIAACIAACPiIAAQ6H3WGm02J5EW5dmsZbXhwPG0TPsqo1jDDp6FBKfn5VHD9OGr2n4GGVPvVsi8+oaJJt1Ptxo32GVIClN1/ELW5/k5dEDJmtBMNCu6aQtuFIFU281lpkgN1vwALTd1ol3EPUVbX3YxFRbW+5bMPqOj+MVRXVGS/f0Y65Qw+hQrOv4LSC+xFGd4xLhzGPUABMdyx6J6bSKmUX8S4zkBuU2p954OU27sfR6mmdBOtGdJHXQ/7T/RL17f/TxVf/hh4gJQ9rWMn6jzjXdr48P+obJ6Y9bOmVt/e4aW3KEvw10Ksxx2LQFezpZTWDO4tzhGtNTuWeaPvorwTz5QTRWzj1AdoywtPSulNBp1I7W6fqKeVvPk6bZk9nap/WaWn2a2kde1GrcQ5nXPAIdJm2/NZ9GOGEHw3jr+eatb+qefP7tef2t/7pK3QZebMO1X9u46Kn3uYtn38DinbZFFbL1SsBJpkU5OBQ6nNdWMkcdyubTxJRNM+/Wnj2Ktty0xr357a3P04Ze9mnRE6kvsOt/3fu2+gqh+E2F5n6jBuvBDxc088g1pffZutuGg8PqyDAAgQFZ99GtX9vExCEWjXlQoWLJLSEAEBEAABEAABEAABEPAnAQh0/uyXmFvl9EV5y5KPqejem6iupNRRndlCoGtz8z22whoLff9OHkMV77/lqKxAs1wquPFuan7kICm/nWiQ0rJF2DYGsrKo9fiHVQskqUCHEbbk2TDlLip/c46jPbi+do+/TNnCwtAY4skh85C+tP3/ltgLGlojhGBZIIY1tRg4JDKBTuzfeeFiSs3OIYtA16EjpXbsQtu/+EyrRV9qwpFbxx2LQMeN+nPEMKoWFmnGwNw6TrHOZrjm3OOpZvXvxqzU8ro7KP+Uc9S0DQ/eTWWvT5e2h4ykplD+TfdQy+OH6dnszufcU8+hsoWvCrO8Kj0fr4QS6MyzuFau+Z3WXTU87HVhrCBdnKsdHnpRt3i0axuLeUplZehzTFgP5t90t3ScXI/T+86mN16jEsFWrcfYQJv1zJ69hWj5BKzpbNggCQSMBEon30fVL081JhEJy+iCJSttrYLljIiBAAiAAAiAAAiAAAgkmgAEukT3QJzqd/KizC/4f58/VFjN1VtDOWlOZp9+1HHSM5as/4y5hio+fMeSHjJBWG21mzpbHTaq5bMTDbRtYZeivPbPzaPs7lbrnnD7RtP+QIvm1HHqXMl5fzTlkMsc0jp3oS7C4i0iCzoBKJhAF4qdJtC5ddyxCnTFr06jkodNQ7qENdau7/wfpWRm6YdSvfFf+nPYEXpcXRH90GXBEnU4adHMZ6j08Unydgcxtjbddb4QUXeGSM5npwIdD2ldfeJhpJTJw3O1OkMtjdaEkbTNXCYL1J1efZ/S8+qHvzu579j5QjSXbY7z+dz5hTchMpjBIA4CBgLbPvqAykdfZkjZsdrshXmUubcY/ooAAiAAAiAAAiAAAiDgawIQ6HzdPdE3zsmL8p+XnkLVP66wVJLWqTNl9DhA9YlVJXy9KRXWoXOt73mUmh1xtL5v2deLacN1F+lxbYVf4jP2PYhShQ+7qlXCx9Sa1domfZm2a3fqPG2hPowtlGjAVndZPIRQWAVs//4rW+shTeTQK3CwUr5iGa0feaY1Z2YGZbL/LjGsdfu3X9oO+cs5/mRqe+sEdV/PODRvRuliOG+dsFqs+e0Xa7tFSrunXxX+x3anwucfVbdXrf6Fti/5VMqbkpdHOcfVW3u1uuAKMR4yYLGgk3YyRTrMfIeqN6xzrf9jFejY992fJx5usQBrfc8j4pw9Rm+9nZCXsX9P6vSYGMIrwprzhQXi77/q+XklpaCAmp15ETXtdTgpYjj4ppeetBWlNdGS9wl1PvN2Y8j+zwBq/7/Hw1qibVn8EW28aaRxV3U9++jBlHvUYOHrcS/atvwbKr5/LClby6V8xusjVNvUa+3AQ9Uh5ZXCv52dGJg98Hhqf+cDevnh7jtsZbnmjKNI2bxF34dXAk1zKOugQwXf1lQlfNGZLSA5T96N4yjvhDN4FQEEQMCGQG1pCW0a2MuyJfOa26nZuRdY0pEAAiAAAiAAAiAAAiDgLwIQ6PzVH661JtyLcuk786jo7pss9eWedxm1uXSUns5WRn//9wyq3fCvnsYrKS1bUldhJaQ5nl996pFU++96OY+wJOrw5KvCuqyDnl74wuO0eepDelxbyRs1hvKGna1Gg4kGad13p46PzNCH59VVVtBf15xH1St/0IrZsRQCkyqQdN5VTg8RW3PBUIvQFcjNpQ5Pv06ZHbuoe/LEDH+PvoS2f7VYKim1dWvqOmfH0E8vOPAw47ZjpwhrsEy1HZvmzKBNU8ZJbeJIwR0TqcWxJ+rpdpZL6Xv2oM7PzNXz8ApzNQ9xNWbg4aIspmR2EnyFY3IWat087lgFOm7r2svPFL7NlhmbTSxetRfctLD2iuFU9f03WlRd5t1wJ+WddBbxRBiqyGdyjVYwRjA9pp4pT8Lxx3E9LSKYkX2w85krZAvMpsI3XOYe+xCL2VlimdmuY1iBbv3/bqbyt+R+S23Xjrq88qHqo1A7qKKXn6XSR+v96XF6att21PW1j9QswdrG/vQ6PDqD0sQkExxY9Pzn8rOo5q+1alz/J4ZTd57/uW5FF+6+s37iHVS+QAztNQS+rts/8DyltyzQUzc8PYXKXnxKj/OK3fFJGRABARCgwiOFQLe1RCKResRgyrvf+rsrZUIEBEAABEAABEAABEAg4QQg0CW8C+LTgHAvyuvGj6Zt7y6QKs/Y70DqJHyqmUPFLz/RPxedZE4mtpzK6tSVqos3CjFjx6QExkxtH3uJcoT1mTn8df3FtP3Lz6VkzXKIE21FAzH0sPPcTy0zZdaK2VVXnyAmQTD58mp+6XX0/+3dB3wUZf7H8d9uOklIgIQYQkgoKmfvHQs2UFHhVEQ9OcGCBZUiJ4ioiH8QG8rZTrCdiFiwAFZAEZVT1DtRwJOWEEIkCZAQwqbn/8xys+6Tmc0kspuN8JnX69x9fjPzPLPvTbxXvj4zT+rV1hlG2qD/a1SrFTm9YUyDnR0ffEbannyGVg1kkfXu7oAu5A5RkZL97peWZwCuv/hky6IWScNGSepV1/uuf48DOhXGtFeLDJhBqtlxsL//YAR0296eLdseude8RO+rsYBGt/fVIhgqwPX+3Jynfjb9F0VRz4/rOv9f3tVqa8t2qAUkVJinAjhzc0fFSMdb7vSF0kbd+7Mz4FS9H1VPGf+gJPfZ/Ttj+/OsjjFCsIxpL1p+po1+nX5/Sz55Tzwr9HAx4ZSzfIuDGH0YW8HU8SoQe2N343//jNgvXbq++Zm3ZXtt6nvOnLPQGxT6n1ihVnbedNX5/iXv+7RpL0iiWn3W2Jyu2/JzaoTp/5yvFhnp4T3f/IexgmzOJadZFppJe+gfv/sZk2bfvCKwNwtsvW6w1P1b/49IrrRMSVmwO5Tfmz87nw0BBBBAAAEEEPijCxDQ/dG/wQDX7/SHcq4K3KpV8Oa/+c/68a8b7+0epp96/zRJOqOvlP1rqWwZfa12iv8sHW2Hauz4fKEUjlO3Uvptxm212a9+7K3YhQYxx54omY+96HfGb2/zJ44Wz8dqBVq/Lf78AZI+tsFzyPz2+7+1uy3VO0PwvWXabCTznJ3f/0vqdu0ymxIRHy/xRx7fIg7Rhx2lQtTZvrHNN3ahZ+KgIZJ282+zJPc0oIs55gTJnPaSOaTvNdjffzACOu9qrv1UcOsfwKkrNkPjko/fleKJY3yfwXgTc9RxkvlE4AUh6qqrpSo/V/0vT6pUWFX5y0rxfLHIEg4bfTUloOv0jzekzUGHGYdbNqffX8sJqmDMcqvapK4vT/1v/S/i+Wap1KxfaznUKaCLOfIY70xVy4mqkHudWoBj9UptV7vbxkmHSwd7a41dd92ucll/zlHauUYjvq81/Dfq5YsWqGVqq423vi35xtGScuV1vjZvEEBAFyidPk2qXtr9WAPfHpdbUr78ST2qIdpX4g0CCCCAAAIIIIBA6xMgoGt930lQrqixP5SNAdadfYTl2XL+z81qeBH5E0epEGy+Vm47eJh0vG6EFM96Tkqefljb5/+cK22HalQXbZHc/mrWkf+mVoXs/qn6A8Lttp1Bl3jFUEm7SQ9UzNO3vvWKbH/sfrPpfW0sZNAOVA27Z5HFnHSqZE5tsBpewxMbtFvCIa53H8mYaL1VabO6XXmXum3Zf0u8/BpJUzO+zG1PA7qGzx00+w325w5GQGdcm3H7c+V3X5uX6X01Vk9Nu/1uyR93k3g+V+Ga39b+zknS/oJL/SriXWTD+PnwfLlIPT9xvSXw0w72azgFdJHZ3ST7lQ/8ztDfOv3+mkcb4WjJ3Je9z22rLykxy42+OgV0iQP/KmnDx9r2UfDQBCl/d462L/7CyyR9zO7fv8auu1w9E6/gxiu0c5vbaOzamtsXxyOwNwp4vlgqO2+/xvLREp9TzyQ90hqQWw6kgAACCCCAAAIIIBA2AQK6sNGHduDG/lCur6nxBnSiZgT5b1nvLJUo9ZB2u81uVlubPhdJp/FTpWjm41L6wlPaaW3U7X2d1G1+dltdZaWsP9M6c8j7LCu1mITdWEk3jJTUv9xg152UqJk2xfeM1PZFZnaR7NmfaLVADbvxGrv+QP20hEP8gEGSPvJeyyUUPHiXlM97U6sHO6ALFOAG+3MHK6DbvuBN2Tr5Ls3ECKeyX1u4+7lxnorf9qmAuOuCryUiIdFXK1u2RLaoIE+qa3y1pr5xCugaC7CNMRr7/TX2G7P58kf+VSr//a3RbNbmFNAlXX+7uj38Rts+Cx5WAd07ekAXe8rp0nnK7ufFNXbddrMWbQdppBh3zgWSMeGRRo5gFwL7tkCdWtl56xlGEPfb7fmGSMytd0nbq63B3b6txadHAAEEEEAAAQRalwABXev6PoJ2NY39oWwMsu7cI6W+fJc2XudXFlieBWUekH/fSPF8om4589uSrrlJUofeJsWz1YPon5zqt0fE/492bYdqGAtP5A44TS+rZ6t1X/Rj4Bl0DWaD+Z9s97yxqIMPlaxn9cDK/xz/98Yqp6Uzp/uXJPbk06Tzg//Qak6NlnCIH3CFCujusVxKSwR0XT/8VguwzIsI9ucOVkDnfc7c+cepaXC15qV6X9vdOla2P6Hf/hxz7EnqFuoXfMdVbNwgm6650Pb2VVFhnhEAR2V2lWi1qMPOea9bFlFxCujiLxoo6XdYF/YwL8Dp97fggb9J+Qf6jEnzXHe7ZHV9XSVKPdfNFRUtO9+aZe7yvjoFdImXXi1pt+nBptmB3SIP/j+TjV13+U/fq5WSB5ld+V6N2+GburW95C/SYeCQph7OcQjskwJFZ6h/75Vt0z57xJkXSfsHCbc1FBoIIIAAAggggEArEyCga2VfSLAup7E/lI0xcq/tL9U/r9KG6zD2AWl3/iVazWzkXHGO1GzMNZve19RJT0jS6edK2TdfyJaRQ7V9/iubajtUo/TTD6To7tu1cmRWtmTP+shbs5vRFn340dLlyVe1c8xGwZRxUj7/LbPpfY07p5+aaaPfdqsd4NfY8eWnUvg3fUEJd0qKdHtHf9C2eUre8CulWgU4/luqMZZ63lmoHfzDEP/xWyKg67bwP+KOjfMf1vs+2N9/sAI64+Lsns1n+QCqkHLXFEnu29+3q+iVf0jpMw3+mFXBXHsVXCWr3xFzBV3jBLsVgB0DugBBq3kBTr+/dreoRx96hHQcM0liu+5vdiM7vvpMCsfoM0+dArqogw9T4ba+sITZYY4KLWvW/Ndsel/9V2Bu7Lq9gem5R2vnumJjpPvCFVqNBgII7JnA1iFXSd2Kf2mduDL3l5S3A99Wrx1MAwEEEEAAAQQQQCAsAgR0YWEP/aCN/aFsjG73zLKongdL1oy5losrX/kfKbhhoKWe+drHEtM5S6q3qVVQLzzFsj/tsecl8diTLfW84VepW/OWa/W4086WjAf+7q3ZBXTiEuny+iKJTu+snVdXWSEb+p0g9bs8Wj1pyC2SOmS4VgvUsH0mnjrY7vqNBSJ+vXWw3pVaYTZbrf5ZX1MdcodgB3QRaftJ17eWaJ+nrsIj6886QqsZjUABXbC//2AGdMZqp8X33WH5LFpBzd7stuAbcbeJ95Xzx94onqWLfW3jTaKavZV2+3itVldVJRvOP1Y9z9Hvdll1RCgDuorc9bLpyr7adYj6Gez24XfaZzAOsJsd6hTQGefZzabd9d+VsnnoAGO3tqVPf9m7SIpRdPr3znq14nLdNn1mT9qjMyXxOOu/P4zgfMc8fVXppEsG+1aM1S6CBgII+ARKHpos1XNm+treN5HRkrpspaiVj/Q6LQQQQAABBBBAAIFWI0BA12q+iuBeiNMfyiWL35fiCSMsgzZ8xlllXo7k3zzI8ke1MUMu+63Pfauc5gw6W2ryNmr9uZLaSsaTs7XbZrc8+aCUzX5eO85o+D+g3zagU8dEZmRIxlOvSVSHjt7zjXBu08ghUvXDd962/z8ynn9b4g44yL/U6PsNl50htZs3a8cY199Z3SZrhJDGZqxCmTdisFSv/FE7LqrnQSrYfNtbC7VDsAM646KNgCThqBNE1AIdxiIdzQ3ojD6C+bmDGdB5P4txm2tllXGZtlvMCb0k8+EZ2r6NNw2SqhXfa7XEywZL2q3jtFrRP5+V0mcf1WpGI5QBXfmKb6Xgpiv1MY2A7qPvxR3Xxlc3VnXNU6s11xUV+WrGm6YEdMZtp52N37XUNO+5Vb9ulvybBkptYaHWlxEMZs9bJpFJ7bx1p3/vbJ40Ri1m8q7WR0THNEl/7EWJzermq3s/44hr9O8twi1d5qiQfr+m3xLr65A3COxDAuUL5suue/RZ6sbHT567WKK6dNmHJPioCCCAAAIIIIDAH0uAgO6P9X01+Wqd/lA2OrKbyWbU3R06iFs9LN8VnyDVa362fUh+w1kv3hUab7qi4XOpVaoWIVE9DpR6NSurrnynJSwwxov6k5q599xvM/cCBXTGsRITrfrrqcapU7fcbpD6neXesv8/Yo47WTIftYaA/sc0fG87M844SF1/9J8OlYh2KVKhghG7lTLbDb9TPRdLhQlqC7XDngR0Zcs+ly13XOe9Tss/VNDiUuFO17eXeoO65sygC/bnDmZAZ1yb3Ww4/8+fcs9Dknz2hf4lKXjkHil/W5+9ZTx7LmnorRJ/zIlSlb9RPOrW7kDPgWuvnhPYXt3Gamx2P8+BvkfzIhr7/a3dWSYb+hxjHup7NZ672P6vw8UVEyMVq3+UsndeldoCPXQ2DjaeUddt3tfe8+yuzezQuP3U+Nmvr6+XKtWfXcgZ3/9ySR91n3mK4wy6mpJtkjvwTMvzL0WFbzGHHS3utslSqZ5VV7d1q69P803cmX0l475pZpNXBBAIIFC9caOUDOht2dtG/f7En3+BpU4BAQQQQAABBBBAoHUIENC1ju8h6FfR2B/45mBVBZtk45V9RKqqzVKTXuN695GMiY9bji2YPFbKF/wWtFkOsCuoP8w7vzRPm2XXWGhg14VWU0FTp+fekjYHHqyVm9LInzhaPB/Pa8qhvmOMxQU6qzDQ5XfbUCgdAgU7TXkGXU3pdsk5X82Ua2TLmvelRMTFN+sWV7O7YH3uYAd0pZ99JEXjbzUvU3+NjpJu7y+3PFuv5JN56tbY0fqxzWglXT9CrYQ6zHuG3c9zoO/RHMLp9zdnYG+pyc83D2/Wq/9z3+yuramduRITJPuNz7SFQ5yu2+h729xXZdujv4V6TRnPFR8vnWe+7ZvN2pRzOAaBfVZAhepFJ6r/D6yp0giiLhsiyWPGaTUaCCCAAAIIIIAAAq1HgICu9XwXQb2SpvyhbAxozPgqvH+05fZO24txicT3u0zSho/VbqUzj62rrJSip6dK2dxZ6n7QerMc8NW4tS11/NTdt1f6HWUXGhiz+upKStRCDPqKnH6nqRlgsdJx4hOSeOJp/uUmvzdumd3y5JTdM6fUHzhOW2TX7pL59BwtoDDOCaVDoGCnKQGdcW15d1wrlcvULLkA254EdMH63MEO6AI9J84gaGy14Tx1+3TlN18GkGq87PRMxUDfo9mr0++vd0XUm9VtrmphksY243ei4fPxjOPN50fa/a4Zz3sUhx9/V5s4Sb13mrQ96XSjO9/mdN3mgVvffFm2P/2Q7aw88xjz1ZUQL52mvypx+6uZs2wIINAkgeL+faU+b412rPvwk6TDzJe1Gg0EEEAAAQQQQACB1iNAQNd6vougXsmGS06X2l8LtD4zZ38kMZnZWs1oGAFG0YxpsnPe61JfVmbZb9x+Ftm1h6SOulfiDz3aur9BZdeqFVL08ASpXqdWe7QJEIyZNwl9BkjqsNHaaphmN3ahgRFotO3dVwrVLLfawi3mobtf1a2HUQf0lLS7pmoz8fSDmt4ynn9V9Mi9UpOzzvb6jbCw3fUjJfm8P2sz5xqOsKcORTMfl9IXntK6DRTs2AV0/rO4zE7qqqulyAghF82Xuu0q8GyweQO6hCRZ3+coS3gSaJGIBl3Inn5uu4Au7vRzJGPS9IZDNbmdP+E28Sz+0HJ8ysTHJLn3eZa6UTBWHS189hEpn/eGus3bOsvU3a6dtB8xQQVgu2Tr5Lu0PiIzu0j27E+8teZ8j2YnTfn9Lft6qWz9+2Sp2aB+Tm02Y6ZrxxF3y6ah/S3PjjM/t921dZzytHi+WyY7F7xhWXzFGMZYLTb9vsclquN+llGbct3mScYM3i0P3iWVP35v+VkzjjFm+rXpc7F0uGoYz50z0XhFoIkC20bdJrVLFmhHu9qlSconv+8/Omgd0UAAAQQQQAABBBAIiQABXUhY/7idGs+I8qz9Wapy1kpEYpLEque9xWR1F1dkZLM/VL2a7VaZu04q1q6W2h2lEq36MWbBRCZ3aLSvQAFdunqul7EZD7/fpRaGqCkulFi18mzcgYeKOyqq0T5/z04jzKrcsEY8v6iV71SIGaXCzVj1GSLVg/P9b2l16vv3Ojj1u6f7a8tKpaa0ROqrq9T3GyURSckSqZ4BFqyttX7u5n6+mh0l6mdY/U5sypV69XMQrX4OYrJ7eAOq5vwcNHfcph5foYJwYzGXmsICiUhup37PengXXHDHxjW1i4DHGSsce9TqrdWbN0pURpa0OeQI34IQAU9q5g7vM+7UM/0q1qxSn+FXiVC/X9HpmRKr/qNAMD5DMy+HwxHYKwRKn3lKqmY8qn8Wd4RayXWVWikmQq/TQgABBBBAAAEEEGgVAgR0reJr4CL8BZwCOv9jeY8AAggggAACusCuzxZL+ejr9aJqJc35SKK7d7fUKSCAAAIIIIAAAgiEX4CALvzfAVfQQICArgEITQQQQAABBJohUKNWcN7e71TLGazkaiGhgAACCCCAAAIItBoBArpW81VwIaYAAZ0pwSsCCCCAAAK/Q8BYyfWEg9TDNPXnZ0ZdOUySR/z+Fap/x5VwCgIIIIAAAggggEATBQjomgjFYS0nQEDXctaMhAACCCCwdwoUX3Cm1P+aq324iON7S/sn/6HVaCCAAAIIIIAAAgi0DgECutbxPXAVfgLFs56TnR/M9auIJKgVU1OuuFar0UAAAQQQQAABe4Ftw4dJ7bKF2k7XflmSMn+RVqOBAAIIIIAAAggg0DoECOhax/fAVSCAAAIIIIAAAkETKHnsYame9YzeX1SsWsn1J71GCwEEEEAAAQQQQKBVCBDQtYqvgYtAAAEEEEAAAQSCJ7DznbnimTTG0mGHxd+Ju22SpU4BAQQQQAABBBBAILwCBHTh9Wd0BBBAAAEEEEAg6AIVK36QsiF/tvSbOOMNiT3iSEudAgIIIIAAAggggEB4BQjowuvP6AgggAACCCCAQNAF6srKZOsZ1iAubtwUSRhwSdDHo0MEEEAAAQQQQACBPRMgoNszP85GAAEEEEAAAQRapUDRSYeKVHm0a4u6/DpJHv03rUYDAQQQQAABBBBAIPwCBHTh/w64AgQQQAABBBBAIOgCxReeLfWbN2j9Rpx4trSf/rRWo4EAAggggAACCCAQfgECuvB/B1wBAggggAACCCAQdIGtN14rdcs/0/p1ZR4gKW+/r9VoIIAAAggggAACCIRfgIAu/N8BV4AAAggggAACCARdoGTyJKl+60W93/gkSV3ynV6jhQACCCCAAAIIIBB2AQK6sH8FXAACCCCAAAIIIBB8gR3/fFEqH5+kd+xyS+q/VotEROh1WggggAACCCCAAAJhFSCgCys/gyOAAAIIIIAAAqER2PXpIim/4wZL5+3mfS6R6Z0sdQoIIIAAAggggAAC4RMgoAufPSMjgAACCCCAAAIhE6has0ZKB/W19J/w1CyJO+54S50CAggggAACCCCAQPgECOjCZ8/ICCCAAAIIIIBAyATqPR4p7nWopf+4cVMkYcAlljoFBBBAAAEEEEAAgfAJENCFz56REUAAAQQQQACBkAoUnXSISFWFNkb01TdL0q0jtBoNBBBAAAEEEEAAgfAKENCF15/REUAAAQQQQACBkAkUn3eG1Bfmaf1H9L5Q2k99VKvRQAABBBBAAAEEEAivAAFdeP0ZHQEEEEAAAQQQCJnA1qsHSt2q77T+3YceLx1emKXVaCCAAAIIIIAAAgiEV4CALrz+jI4AAggggAACCIRMYNvI4VL7+Qda/66MbpLy7sdajQYCCCCAAAIIIIBAeAUI6MLrz+gIIIAAAggggEDIBEqmPCDVb76g9x+fLKlLvtVrtBBAAAEEEEAAAQTCKkBAF1Z+BkcAAQQQQAABBEInsOP5GVL51BR9AHekpH69WsTl0uu0EEAAAQQQQAABBMImQEAXNnoGRgABBBBAAAEEQitQvmC+7LrndssgHT79XtyJbS11CggggAACCCCAAALhESCgC487oyKAAAIIIJPzdy4AAB1KSURBVIAAAiEXqPh2uZQNG2QZJ2n2BxK9//6WOgUEEEAAAQQQQACB8AgQ0IXHnVERQAABBBBAAIGQC1RvypOSi8+wjBP/2PPSptepljoFBBBAAAEEEEAAgfAIENCFx51REUAAAQQQQACBkAvUV1ZK8ckHW8aJu/shSbiov6VOAQEEEEAAAQQQQCA8AgR04XFnVAQQQAABBBBAoEUEio7vKVJbo40Vc/NYaXvNUK1GAwEEEEAAAQQQQCB8AgR04bNnZAQQQAABBBBAIOQCRb2OFPGUaeNEXXGDJI+8Q6vRQAABBBBAAAEEEAifAAFd+OwZGQEEEEAAAQQQCLlA8bmnSv3Wzdo4kX0vlXb3T9ZqNBBAAAEEEEAAAQTCJ0BAFz57RkYAAQQQQAABBEIuUHxJP6nPWa2NE3HiWdJ++jNajQYCCCCAAAIIIIBA+AQI6MJnz8gIIIAAAggggEDIBbYOvVrqfvhKG8d90NHS4eU5Wo0GAggggAACCCCAQPgECOjCZ8/ICCCAAAIIIIBAyAW2jbpNapcs0MZxZXSXlHc/0mo0EEAAAQQQQAABBMInQEAXPntGRgABBBBAAAEEQi6wfeIEqXnvVW0cV7s0SfnkS61GAwEEEEAAAQQQQCB8AgR04bNnZAQQQAABBBBAIOQCJY9MlerZ/9DHadNWUj//Xq/RQgABBBBAAAEEEAibAAFd2OgZGAEEEEAAAQQQCL1A6bNPS9Vzj+gDRcVI6rKVeo0WAggggAACCCCAQNgECOjCRs/ACCCAAAIIIIBA6AXKZv1TKh67Tx/I5ZbU5b/oNVoIIIAAAggggAACYRMgoAsbPQMjgAACCCCAAAKhF9j53jvimTjaMlDKV6vEFR1tqVNAAAEEEEAAAQQQaHkBArqWN2dEBBBAAAEEEECgxQR2LV4k5WNusIzX/uOvJaJ9B0udAgIIIIAAAggggEDLCxDQtbw5IyKAAAIIIIAAAi0m4Pnma9l505WW8ZLfWiRRWVmWOgUEEEAAAQQQQACBlhcgoGt5c0ZEAAEEEEAAAQRaTKBy5U+yY/DFlvHazpovMQf2tNQpIIAAAggggAACCLS8AAFdy5szIgIIIIAAAggg0GICVWvWSOmgvpbxEme+KbGHH2GpU0AAAQQQQAABBBBoeQECupY3Z0QEEEAAAQQQQKDFBKo3bpSSAb0t4yU8NUvijjveUqeAAAIIIIAAAggg0PICBHQtb86ICCCAAAIIIIBAiwnUFG6R7eedbBkv/rHnpU2vUy11CggggAACCCCAAAItL0BA1/LmjIgAAggggAACCLSYQG1piWw78xjLePEPPiNtzjzLUqeAAAIIIIAAAggg0PICBHQtb86ICCCAAAIIIIBAiwnUezxS3OtQy3ht7psm8edfYKlTQAABBBBAAAEEEGh5AQK6ljdnRAQQQAABBBBAoOUE6uqk6LgDfhvP5RZxR0jc3VMl4YJ+v9V5hwACCCCAAAIIIBA2AQK6sNEzMAIIIIAAAggg0DICdTtKxRUdo/4XrcI5FdCxIYAAAggggAACCLQqAQK6VvV1cDEIIIAAAggggAACCCCAAAIIIIAAAvuaAAHdvvaN83kRQAABBBBAAAEEEEAAAQQQQAABBFqVAAFdq/o6uBgEEEAAAQQQQAABBBBAAAEEEEAAgX1NgIBuX/vG+bwIIIAAAggggAACCCCAAAIIIIAAAq1KgICuVX0dXAwCCCCAAAIIIIAAAggggAACCCCAwL4mQEC3r33jfF4EEEAAAQQQQAABBBBAAAEEEEAAgVYlQEDXqr4OLgYBBBBAAAEEWlqgemuhlC1ZqA0b0+MAiT/sGK1GQ6S+tla2vztHo3AnxEvyORdptT9Cw/PLavH89G/tUqOzu0nCUSdoNRoIIIAAAggggEBLCBDQtYQyYyCAAAIIIIBAqxXY+vqLsv2Jydr1xZzQSzIfnqHVaIjUVXhk/VlHWCi6LfpB3DGxlnprLhS98HcpnTldu8S43n0kY+LjWo0GAggggAACCCDQEgIEdC2hzBgIIIAAAggg0GoFts55QbZPn6JdHwGdxuFrBAzoFv5H3LFxvuP+CG8I6P4I3xLXiAACCCCAwL4jQEC373zXfFIEEEAAAQQQsBEgoLNBCVAioAsAQxkBBBBAAAEEENhDAQK6PQTkdAQQQAABBBD4YwsQ0DX9+yOga7oVRyKAAAIIIIAAAs0RIKBrjhbHIoAAAggggMBeJ0BA1/SvlICu6VYciQACCCCAAAIINEeAgK45WhyLAAIIIIAAAnudwO8N6Kq3F0vFf1dLxZpVUldWKtFZ3SV2/4MkpmsPcUdFNcupvqZGKjas9fZVlbNW3AltvX3FHvAnieqQ2mhfNSVbtf2uiEiJSEzy1io2bpBdK76V6px1EpWZLW0OP0Zi1HW6XC7tnKY2nAK6mtLt4lm1QipW/SD19XUS+6fDpc3Bh0tkcvumDiF7YtFwkFr1vZT/8J14Vv5b3G0S1Oc/WuJ6Hibu6GgJ9Ay69LselDpPeYOuXAE/g7GybW1ZiXa8OyZO3HFttBoNBBBAAAEEEECgMQECusZ02IcAAggggAACe71AcwO6smVLpPih8VJbWGhv43ZJ3Bl9JG3UvRLZNtn+mP9Va3eWyZZp98uuT+aJ1NbZHuvu0EFSRk2UtqeeZdlvF5hFZnaR9IdmyOZbr7K9RldcnCT0v0I63nhHs4M6u/GMi8qev0x+nXynVHy5xHKNahBJvGKodLx+pLgiIqz7/1fZUwv/jo1g8tfxt0jN+rX+5d3v1TW0u3Wc1O0osV3FNe7oE2XbQ/dYzsuc84nEZHSx1LfNf0O2TRmv1V1tE6XbguXN9tU6oYEAAggggAAC+5QAAd0+9XXzYRFAAAEEEECgoUBTAzojQPr14QniWfh+wy5s20ZIkzJmkiSd3sd2/46vPpPiyX+Tuu367Cvbg1UxTgV0aXc+oIV+toGZCsRcCQlSX1YWqCtv3VipNmPS9Gatvmo7nuotolMnqd28udHxIvc/ULo8OVvNZIu3HBcMC7PTsq+XSuH44VLv8Zgl21dXbKzUV1Ro++J67w5Wcy48yRKYJg25RVKHDNeONxp5I4dI5TdfavWY406WzEef12o0EEAAAQQQQACBxgQI6BrTYR8CCCCAAAII7PUCTQ3o8ifcJp7FHzbPQ82m6/TcW9LmwIO18yrULaebBvdTIVCtVndqxJzYSzLV7DhzCxSYmfudXmNPOV06T3nW6TDf/j0dL/HSqyXttrt8/RlvgmVh9FWZv1HyrjjXEq4Z+5qyGQFdxsTHJe+Oa6Vy2VLtlMiu3SX7n3o46/Xoe4xIdY12bOqkxwMGs9qBNBBAAAEEEEAAgf8JENDxo4AAAggggAAC+7RAUwK6suVfypYRQyxOxiys6EOPkgj1nLiqn1dITc4GyzGR3XpI1ovzxOV2+/blXv9nqV71k69tvonskiXRBx0htduKperH721ngXV84O/S9rSzvac0GpipmXRR6hl20d0OkKrctVL980qRunpzqN2v6lF0nV+eL7Fd99frAVqNjqfOifrTwRLdVY23/r9qvFXWXiLckvnKBxKTme3bFywLo8P8e0fYznB0JSdJ7GHHikRGSqV6Jl9dcbFvfP83ZkC3Y8knUnjXLf67vO8zX18oMZ0yffWSRQuk+J6RvrbxxpUQL93mfyMuNRYbAggggAACCCDQVAECuqZKcRwCCCCAAAII7JUCTQnoNlxyutT+WqB9fuPZcJ2feV2i0zv76kUvPSWlzz3ua5tv2o+cIO0HXOltlnz4jhRP+pu5y/eaePUNkqae02Zu1YW/yqYbB0rtll/NkvfV3a6ddH33K2/gFzAwUzP3UsZOluS+/X3n7ljysRSqWYANn3UXp8K+DBX6NWULOJ4KA9uPvlfaX3S5r5utb74s2x9/QKRBJhh/Xn9JHzfFe1wwLSo350ne5Sq4bBBCRvU8WDo//rJExCd4x6yrqpL8v10vlcuX+a7VfGMGdMbCD+svON5ym3DSdbdJ6uCbzMMlf9zN4vl8oa9tvIm/8DJJH3O/VqOBAAIIIIAAAgg4CRDQOQmxHwEEEEAAAQT2agGngK56a6HkXtTLYpD+5CsSf7ialdVgyxs1VCq//kKrxp16pmT831Pe2ub775BdH72n7Y8+7Ejp8tRrWs1oeH5ZLflDLrbUO7/6ocR26SqBArP48wdIugroGm5bnpoqZa/O1Mqu2BjpvnCFVgvUCDRe3Jl9JeO+aZbT8scOE8/ST7W6Mcsu67m53lowLba9M1u2PXyvNpaoBSGy3/3CsgJrXWWFbDACOI/1GXTGLa7GVvDIPVL+tv6dRHbvIdkvLfDur6uulg3nHWPpo9MMdUtzz0O8x/APBBBAAAEEEECgqQIEdE2V4jgEEEAAAQQQ2CsFnAK6sn8tlS2jr9U+e0R6J+n6hh48mQfsUDOqCtXMKv/NuHU1+9WPvaVcFbhVq+DNf0u5e6okn3uRf8n3Pucv50nNhnW+tvEm9f5pknRG34ABXaCQqGpLgWxUswEbzmozVmGNTG6vjWHXCBTQpT/zmsQfcqTllLJvv5Itt1+j1V2JidL9g2+9tWBabHni/6Ts9Ze0seJ6nSEZk5/RamZjs5rFuEvNZvTfzBl0Rs2z5mfJv8b6nXR5Y7GaNZkhxsIWhWNu8D9dIjtnSvZr+ow67QAaCCCAAAIIIIBAAAECugAwlBFAAAEEEEBg3xBwCuiKZz0nJU8/rGE0FvxUF22R3P6nascbM7m6f/qT97bUdWcfYXm2XOdX3pfY7O76Of9r5U8cJZ6P52v72g4eJh2vG2Ef0KnbTbsvWaU9887/5HUXHCf1JaX+JQkUsGkHqUaggK6b+mzuqKiGh4ux8u2GPsdY6l0/WC4RiW0lmBZ2CzsEWnnVuKCtc56X7dMf1K7NP6AzduRcea7U5OZoxyRdP0JSrx4mdrP/kq6/Xe27UTueBgIIIIAAAggg0BQBArqmKHEMAggggAACCOy1Ak4BXdHMx6X0hd23p5oIbfpcLJ3G6+GOua+uslLWn3mY2fS9Zhm3Wia184ZSom6P9N+y3lkqUSkd/Uu+9wWP3iflc1/1tY03bfpcpMafahuYGQtXdF/4g3a8fyPn8rOkZlOef0lSJj4myb3P02p2DduALiZaeiz60e5wb23tKQda9nV+ZYHEdM4OqsXGYZdJ1U/652532zjpcOlgy/hGofjVGVLy1EPavoYBnd0xkT0OkKwX3pP15x2rP6NOPfcv6231PaoFQ9gQQAABBBBAAIHmChDQNVeM4xFAAAEEEEBgrxJwCuiKZ8+Ukienap859pTTpfOUZ7Wa2TAWd8gdcJrZ3P0aFSndVYhlrOS67twjpb58l7bfCKxis3toNbORf99I8Xyy+7lnZi3pmpskdehttgGdqJVZu3+6MuAqouv7nSB127ebXXlf93viJUk46gStZtewDejUgd0W/yju6GjLKbVlO2RDX+tz+rp9/L2428QH1SJfLYDhWfyhdg2Jf7le0m4YpdXMhu3MyN59xHwGnXFcTclWybnoFMvCGsYtycX3jzG78r7GHHmsZE5/RavRQAABBBBAAAEEmipAQNdUKY5DAAEEEEAAgb1SwCmgK/vmC9kycqj22SM6dpSuc5dqNbNR+ukHUnT37WbT+xqZlS3Zsz7yvs+9tr9U/7xK299h7APS7vxLtJrZyLniHKnZmGs2va+pk56QpNPPtQ/o1BHpT78q8YcerZ1jNKq3FUnuxWrBiwYrnTY2g8+/k0ABXaCAr2zZEtlyx/X+XYgrOVm6z//aWwumReGMabLjxae1saIPPUK6PD1Hq5mN/LtuEc+ST8ym97XhDDqjmDdyiFR+86V2nKjZcg0NUyao5wieY31mnX4iLQQQQAABBBBAwF6AgM7ehSoCCCCAAAII7CMCTgGdN9S6UM2iarClPfa8JB57coOqCnSGXyWV/16u1eNOO1syHvi7t2a3OEFUT7Wy6YzdK5v6n1i+8j9ScMNA/5L3feZrH6tbRLMCBnSBVlUten66lD6/+zp8napnx/VQz5BryhYooIvr1VstxqCHY0Z/eSOukcrlX2ldRx9yuHR55nVvLZgWJR+9a5nVZgzS+aX3JLa7fput99l4/U5UiaV+q7FdQGcXuGofSDVccXHSdcE3trMIGx5LGwEEEEAAAQQQsBMgoLNToYYAAggggAAC+4yAU0BnQOQMOltq8jZqJq6ktpLx5Gzt1tQtTz4oZbOf144zGu3vnCTtL7jUWy9Z/L4UTxhhOSZ+wCBJH3mvr16ZlyP5Nw+Sum3bfDXjjTF7L/utz8WlFoMIFJgZxyXfPEZSBv0282/H0kVSePdwdd9mrbHbt8Ucd7JkPmq9Zt8Bfm8aG89cPME83O7Zfca++P6XS/qo+7yHBdPCuJ02p38vqa+oMC/B++pOSZHOahZddHpnb7vOs0vybr1Kqlev1I4zGnYBXX1Njaw3FtbYWW453iw09kxC8xheEUAAAQQQQACBxgQI6BrTYR8CCCCAAAII7PUCTQnoyn/8TgpuukKkvgFHZIRE9ThQhUIeqSvfKXVFRQ0OEIn6k5od95w+O85ulp1xortDB3EnJIorPkGq1/ysZnjVWPpLe3SmJB63e0ZfY4GZcWJEp04SkZImdTtK1WqkG9T1N/wAIp1mzpU2Bx5sGceu4DReZEZniVSr0VZvWCO1mzdbu1ALSmTNWaQtiBEsC2OwQAGpqGcARvc8RFwxsVK1+kf1DED7sM0uoDP6LZg6Xsrfe8N4a7sFuqXY9mCKCCCAAAIIIICAjQABnQ0KJQQQQAABBBDYdwSaEtAZGgWTx0r5Aj1oc1SKcKtbLOdps+yMc6oKNsnGK/uoN/otlk79NQyQnAIzp/5iTuglmQ/PcDrMt39Px0sacoukDlGz+Py2YFkYXdaUbJPcS3tLvcfjN0LT3zb0Nc/c9fNPsvnaP5tN7TUibT/p+tYSrUYDAQQQQAABBBBorgABXXPFOB4BBBBAAAEE9iqBpgZ0dZWVUvT0VCmbO8uyQIAdSETHNEkdPzXg6qjGrLzC+0fbzzRr2KFakyC+32WSNnysuOPa+PYGCswiexwgNWt/8R1n9ybmxF6Scf90ccfG2e22rQUaT1QQKbV1tueYxZjjT/E+p85utddgWJjjVOSslYKR10htYaFZsn01Fu6oyc3R9gUK6IyDci4/S2o25WnHGw1zRV3LDgoIIIAAAggggEAzBAjomoHFoQgggAACCCCw9wnYBXRxp58jGZOm237YXatWSNHDE6R63X9tQylXYoIk9BkgqcNGizsmxrYPs1hXVSVFavXRnfNel/qyMrP826sKviK79pDUUffarsoaKDDr+sFy2TLtftm1+APLQgjudu0k4cKBknrt7d7n2P02mPO7OrWowvo+R4lUVvkOjjroEEm5+U4pevReqdmwzhJeumJjJPnGMdLhz1f5zrF7s6cW/n0aM+kKHhgjVf9ZrmbT6c+kE3WbbeLAayTpzPNl0+AL/U/Tno+n7VANuwUtRAWnXd78TKLT0hseThsBBBBAAAEEEGiWAAFds7g4GAEEEEAAAQQQ2C1QX1srlbnrpGLtaqlVz3iLzuoucfv3lMjkDr+LyAiVPGt/lio1AywiMUlie/SUGNWnKzIyYH+BArpuC//jnRlnXKPnl1VSsXqFuNsmSfwRx2nPfwvY8e/cYcwyrFj/i9dE6uok7qAj1AqqB4jLrWbYNWP7PRZ23derZ+5VKs9dP34vrogIdT2HS0x2j2YHk4Zj7l/77Q4g/QbyX5HWr8xbBBBAAAEEEECg2QIEdM0m4wQEEEAAAQQQQKB1CDgFdK3jKv+YV7H19RelSi124U5oq2Yivi+1W361fBD/1XktOykggAACCCCAAALNECCgawYWhyKAAAIIIIAAAq1JgIAudN/G+v6n2K7Ka47oSmorXed+4Xgbs3k8rwgggAACCCCAQGMCBHSN6bAPAQQQQAABBBBoxQIEdKH7cpwCuna3jZMOlw4O3QXQMwIIIIAAAgjsUwIEdPvU182HRQABBBBAAIG9SYCALnTfZmMBXcKfr5T9RkwI3eD0jAACCCCAAAL7nAAB3T73lfOBEUAAAQQQQGBvETAWZdg49GLLx+ky8x1uvbSoNK9QMHmsWrBjjdRX7F4FNqJ9ikR2zpLkfgMl7oCDmtcZRyOAAAIIIIAAAg4CBHQOQOxGAAEEEEAAAQQQQAABBBBAAAEEEEAglAIEdKHUpW8EEEAAAQQQQAABBBBAAAEEEEAAAQQcBAjoHIDYjQACCCCAAAIIIIAAAggggAACCCCAQCgFCOhCqUvfCCCAAAIIIIAAAggggAACCCCAAAIIOAgQ0DkAsRsBBBBAAAEEEEAAAQQQQAABBBBAAIFQChDQhVKXvhFAAAEEEEAAAQQQQAABBBBAAAEEEHAQIKBzAGI3AggggAACCCCAAAIIIIAAAggggAACoRQgoAulLn0jgAACCCCAAAIIIIAAAggggAACCCDgIEBA5wDEbgQQQAABBBBAAAEEEEAAAQQQQAABBEIpQEAXSl36RgABBBBAAAEEEEAAAQQQQAABBBBAwEGAgM4BiN0IIIAAAggggAACCCCAAAIIIIAAAgiEUoCALpS69I0AAggggAACCCCAAAIIIIAAAggggICDAAGdAxC7EUAAAQQQQAABBBBAAAEEEEAAAQQQCKUAAV0odekbAQQQQAABBBBAAAEEEEAAAQQQQAABBwECOgcgdiOAAAIIIIAAAggggAACCCCAAAIIIBBKAQK6UOrSNwIIIIAAAggggAACCCCAAAIIIIAAAg4CBHQOQOxGAAEEEEAAAQQQQAABBBBAAAEEEEAglAIEdKHUpW8EEEAAAQQQQAABBBBAAAEEEEAAAQQcBAjoHIDYjQACCCCAAAIIIIAAAggggAACCCCAQCgFCOhCqUvfCCCAAAIIIIAAAggggAACCCCAAAIIOAgQ0DkAsRsBBBBAAAEEEEAAAQQQQAABBBBAAIFQChDQhVKXvhFAAAEEEEAAAQQQQAABBBBAAAEEEHAQIKBzAGI3AggggAACCCCAAAIIIIAAAggggAACoRQgoAulLn0jgAACCCCAAAIIIIAAAggggAACCCDgIEBA5wDEbgQQQAABBBBAAAEEEEAAAQQQQAABBEIpQEAXSl36RgABBBBAAAEEEEAAAQQQQAABBBBAwEGAgM4BiN0IIIAAAggggAACCCCAAAIIIIAAAgiEUoCALpS69I0AAggggAACCCCAAAIIIIAAAggggICDAAGdAxC7EUAAAQQQQAABBBBAAAEEEEAAAQQQCKUAAV0odekbAQQQQAABBBBAAAEEEEAAAQQQQAABBwECOgcgdiOAAAIIIIAAAggggAACCCCAAAIIIBBKAQK6UOrSNwIIIIAAAggggAACCCCAAAIIIIAAAg4CBHQOQOxGAAEEEEAAAQQQQAABBBBAAAEEEEAglAIEdKHUpW8EEEAAAQQQQAABBBBAAAEEEEAAAQQcBAjoHIDYjQACCCCAAAIIIIAAAggggAACCCCAQCgFCOhCqUvfCCCAAAIIIIAAAggggAACCCCAAAIIOAgQ0DkAsRsBBBBAAAEEEEAAAQQQQAABBBBAAIFQChDQhVKXvhFAAAEEEEAAAQQQQAABBBBAAAEEEHAQIKBzAGI3AggggAACCCCAAAIIIIAAAggggAACoRQgoAulLn0jgAACCCCAAAIIIIAAAggggAACCCDgIEBA5wDEbgQQQAABBBBAAAEEEEAAAQQQQAABBEIpQEAXSl36RgABBBBAAAEEEEAAAQQQQAABBBBAwEGAgM4BiN0IIIAAAggggAACCCCAAAIIIIAAAgiEUoCALpS69I0AAggggAACCCCAAAIIIIAAAggggICDAAGdAxC7EUAAAQQQQAABBBBAAAEEEEAAAQQQCKUAAV0odekbAQQQQAABBBBAAAEEEEAAAQQQQAABB4H/Bw51sZmH4Dg5AAAAAElFTkSuQmCC"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![Screen%20Shot%202022-09-28%20at%208.51.49%20AM.png](attachment:Screen%20Shot%202022-09-28%20at%208.51.49%20AM.png)"
+   ]
+  },
+  {
+   "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": "3.9.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/f22/andy_lec_notes/lec_10/readme.md b/f22/andy_lec_notes/lec10_Sep28_Iteration1/readme.md
similarity index 100%
rename from f22/andy_lec_notes/lec_10/readme.md
rename to f22/andy_lec_notes/lec10_Sep28_Iteration1/readme.md
diff --git a/f22/andy_lec_notes/lec_10/.ipynb_checkpoints/lec10_iteration1_complete-checkpoint.ipynb b/f22/andy_lec_notes/lec_10/.ipynb_checkpoints/lec10_iteration1_complete-checkpoint.ipynb
deleted file mode 100644
index 45ddf59..0000000
--- a/f22/andy_lec_notes/lec_10/.ipynb_checkpoints/lec10_iteration1_complete-checkpoint.ipynb
+++ /dev/null
@@ -1,582 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Warmup:  Slides"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### February 16:  Iteration part 1\n",
-    "\n",
-    "Learning Objectives: (after this lecture you should be able to...)\n",
-    "\n",
-    "11.1 Implement an iterative algorithm using a while loop\n",
-    "- example: printing / counting\n",
-    "- example: validating user input\n",
-    "- example: performing an iterative calculation\n",
-    "- example: character art\n",
-    "\n",
-    "11.2 Trace iterative algorithms and determine their output\n",
-    "\n",
-    "11.3 Recognize common while loop errors\n",
-    "- Infinite loops (when unintentional)\n",
-    "- Off-by-one mistakes in the loop control variable\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Slides"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "4\n",
-      "3\n",
-      "2\n",
-      "1\n",
-      "0\n",
-      "DING DING DING DING DING DING \n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 1:  Countdown Timer\n",
-    "# delete the repeated code \n",
-    "# change the if to while\n",
-    "\n",
-    "import time\n",
-    "\n",
-    "seconds = 4\n",
-    "\n",
-    "while seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(.5) \n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "\n",
-    "print(seconds)\n",
-    "print(\"DING \" * 6)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n",
-      "2\n"
-     ]
-    },
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-16-9f11aff0409d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0mseconds\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[1;32m      9\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mseconds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m     \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# 1 second\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m     \u001b[0;31m#seconds -= 1   # decrease seconds by 1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
-     ]
-    }
-   ],
-   "source": [
-    "# Example 1b:  what happens if you remove the line that decreases seconds? \n",
-    "# copy/paste the code and try it\n",
-    "\n",
-    "import time\n",
-    "\n",
-    "seconds = 2\n",
-    "\n",
-    "while seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(0.5)  # .25 seconds\n",
-    "    #seconds -= 1   # decrease seconds by 1\n",
-    "\n",
-    "print(seconds)\n",
-    "print(\"DING \" * 6)\n",
-    "\n",
-    "\n",
-    "\n",
-    "# this is called ....... an infinite loop \n",
-    "\n",
-    "# seconds is called the loop control variable"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 2: Find the max value of a function on an interval"
-   ]
-  },
-  {
-   "attachments": {
-    "graph.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![graph.png](attachment:graph.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Example 2a: define the function and test it\n",
-    "def f(x):\n",
-    "    return 5 - (x-2)**2\n",
-    "f(3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "4\n",
-      "1 4\n",
-      "1.2 4.359999999999999\n",
-      "1.4 4.64\n",
-      "1.5999999999999999 4.84\n",
-      "1.7999999999999998 4.96\n",
-      "1.9999999999999998 5.0\n",
-      "2.1999999999999997 4.96\n",
-      "2.4 4.84\n",
-      "2.6 4.64\n",
-      "2.8000000000000003 4.359999999999999\n",
-      "max occurred at 1.9999999999999998 5.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 2b: write code to iterate over values \n",
-    "\n",
-    "start_x = 1\n",
-    "end_x = 4\n",
-    "delta_x = 0.2\n",
-    "\n",
-    "max_y = f(start_x)\n",
-    "max_x = start_x\n",
-    "print(max_y)\n",
-    "\n",
-    "current_x = start_x\n",
-    "\n",
-    "while current_x <= end_x:  \n",
-    "    y = f(current_x)\n",
-    "    print(current_x, y)\n",
-    "    if y > max_y:\n",
-    "        max_y = y\n",
-    "        max_x = current_x\n",
-    "    current_x += delta_x   # current_x is the loop control variable\n",
-    "    # same as current_x = current_x + delta_x\n",
-    "print(\"max occurred at\", max_x, max_y)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# can we find a Riemann Sum ?"
-   ]
-  },
-  {
-   "attachments": {
-    "Riemann%20Sum.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![Riemann%20Sum.png](attachment:Riemann%20Sum.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1 4\n",
-      "1.2 4.359999999999999\n",
-      "1.4 4.64\n",
-      "1.5999999999999999 4.84\n",
-      "1.7999999999999998 4.96\n",
-      "1.9999999999999998 5.0\n",
-      "2.1999999999999997 4.96\n",
-      "2.4 4.84\n",
-      "2.6 4.64\n",
-      "2.8000000000000003 4.359999999999999\n",
-      "3.0000000000000004 3.999999999999999\n",
-      "3.2000000000000006 3.5599999999999987\n",
-      "3.400000000000001 3.039999999999998\n",
-      "3.600000000000001 2.439999999999997\n",
-      "3.800000000000001 1.7599999999999958\n",
-      "4.000000000000001 0.9999999999999964\n",
-      "4.200000000000001 0.1599999999999957\n",
-      "4.400000000000001 -0.760000000000006\n",
-      "4.600000000000001 -1.7600000000000078\n",
-      "4.800000000000002 -2.8400000000000087\n",
-      "total area is:  11.439999999999992\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 3: Reimann Sum\n",
-    "# copy/paste the code above\n",
-    "# change the block intide the while loop to find area under the curve\n",
-    "start_x = 1\n",
-    "end_x = 5\n",
-    "delta_x = 0.2\n",
-    "\n",
-    "total_area = 0\n",
-    "current_x = start_x\n",
-    "\n",
-    "while current_x <= end_x:  \n",
-    "    y = f(current_x)\n",
-    "    print(current_x, y)\n",
-    "    area = y * delta_x  # rectangle area\n",
-    "    total_area += area  # accumulate area\n",
-    "    current_x += delta_x   # current_x is the loop control variable\n",
-    "    \n",
-    "print(\"total area is: \", total_area)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Example 4:  write a function to determine if an integer is prime\n",
-    "import math\n",
-    "\n",
-    "def is_prime(x):\n",
-    "    \"\"\" returns True if x is prime, false otherwise. Assumes x is positive\"\"\"\n",
-    "    # check for numbers that evenly go into x\n",
-    "  \n",
-    "    # start at 2\n",
-    "    divisor = 2\n",
-    "    # while divisor is <= square root of number\n",
-    "    \n",
-    "    while divisor <= math.sqrt(x):\n",
-    "        if x % divisor == 0: # its divisble\n",
-    "            return False     # not prime\n",
-    "        divisor += 1         # try the next number up\n",
-    "    return True\n",
-    "\n",
-    "is_prime(101)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "False"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "is_prime(36)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "is_prime(2) #2 is prime, this should return True"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 5:  Write a loop that calls is_prime for all integers from 2 to 50\n",
-    "\n",
-    "print(\"Prime numbers:\")\n",
-    "number = 2\n",
-    "while number <= 50:\n",
-    "    if is_prime(number):\n",
-    "        print(number, \"is prime\")\n",
-    "    else:\n",
-    "        print(number, \"is not prime\")\n",
-    "    number += 1\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 6: What is an an off-by-one error? \n",
-    "# an off-by-one error is when a loop misses its intended output by one value\n",
-    "# if the code above had stopped at 99, that would have been an off-by-one error"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "###########\n",
-      "#         #\n",
-      "#         #\n",
-      "###########\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 7:  Border by height and width\n",
-    "###########\n",
-    "#         #\n",
-    "#         #\n",
-    "###########\n",
-    "\n",
-    "\n",
-    "# border solution\n",
-    "height = 4\n",
-    "width = 11\n",
-    "symbol = '#'\n",
-    "print(symbol*width)\n",
-    "counter = 0\n",
-    "while counter < height - 2:\n",
-    "    print(symbol + ' ' * (width-2) + symbol)\n",
-    "    counter += 1\n",
-    "print(symbol*width)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 8:  Another kind of a loop is a for loop:\n",
-    "\n",
-    "for i in range(3,7):\n",
-    "    print(i, is_prime(i))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for i in range(5): #starts with ___, ends with ____\n",
-    "    print(i)"
-   ]
-  },
-  {
-   "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": 4
-}
diff --git a/f22/andy_lec_notes/lec_10/.ipynb_checkpoints/lec10_iteration1_template-checkpoint.ipynb b/f22/andy_lec_notes/lec_10/.ipynb_checkpoints/lec10_iteration1_template-checkpoint.ipynb
deleted file mode 100644
index 2f1f519..0000000
--- a/f22/andy_lec_notes/lec_10/.ipynb_checkpoints/lec10_iteration1_template-checkpoint.ipynb
+++ /dev/null
@@ -1,471 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Warmup: Slides"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### February 16:  Iteration part 1\n",
-    "\n",
-    "Learning Objectives: (after this lecture you should be able to...)\n",
-    "\n",
-    "11.1 Implement an iterative algorithm using a while loop\n",
-    "- example: printing / counting\n",
-    "- example: validating user input\n",
-    "- example: performing an iterative calculation\n",
-    "- example: character art\n",
-    "\n",
-    "11.2 Trace iterative algorithms and determine their output\n",
-    "\n",
-    "11.3 Recognize common while loop errors\n",
-    "- Infinite loops (when unintentional)\n",
-    "- Off-by-one mistakes in the loop control variable\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Slides"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2\n",
-      "1\n",
-      "DING DING DING DING DING \n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 1:  Countdown Timer\n",
-    "# delete the repeated code \n",
-    "# change the if to while\n",
-    "\n",
-    "import time\n",
-    "\n",
-    "seconds = 2\n",
-    "\n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "\n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "    \n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "    \n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "    \n",
-    "print(\"DING \" * 5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 1b:  what happens if you remove the line that decreases seconds? \n",
-    "# copy/paste the code and try it\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "# this is called ......."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 2: Find the max value of a function on an interval"
-   ]
-  },
-  {
-   "attachments": {
-    "graph.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![graph.png](attachment:graph.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Example 2a: define the function and test it\n",
-    "def f(x):\n",
-    "    return 5 - (x-2)**2\n",
-    "f(3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "4\n",
-      "1 4\n",
-      "1.1 4.19\n",
-      "1.2000000000000002 4.36\n",
-      "1.3000000000000003 4.510000000000001\n",
-      "1.4000000000000004 4.640000000000001\n",
-      "1.5000000000000004 4.75\n",
-      "1.6000000000000005 4.840000000000001\n",
-      "1.7000000000000006 4.91\n",
-      "1.8000000000000007 4.96\n",
-      "1.9000000000000008 4.99\n",
-      "2.000000000000001 5.0\n",
-      "2.100000000000001 4.99\n",
-      "2.200000000000001 4.96\n",
-      "2.300000000000001 4.909999999999999\n",
-      "2.4000000000000012 4.839999999999999\n",
-      "2.5000000000000013 4.749999999999998\n",
-      "2.6000000000000014 4.639999999999998\n",
-      "2.7000000000000015 4.509999999999998\n",
-      "2.8000000000000016 4.359999999999998\n",
-      "2.9000000000000017 4.189999999999997\n",
-      "3.0000000000000018 3.9999999999999964\n",
-      "3.100000000000002 3.7899999999999956\n",
-      "3.200000000000002 3.559999999999995\n",
-      "3.300000000000002 3.3099999999999947\n",
-      "3.400000000000002 3.039999999999994\n",
-      "3.500000000000002 2.7499999999999933\n",
-      "3.6000000000000023 2.4399999999999924\n",
-      "3.7000000000000024 2.109999999999992\n",
-      "3.8000000000000025 1.759999999999991\n",
-      "3.9000000000000026 1.3899999999999904\n",
-      "4.000000000000003 0.9999999999999893\n",
-      "4.100000000000002 0.5899999999999901\n",
-      "4.200000000000002 0.15999999999999126\n",
-      "4.300000000000002 -0.29000000000000714\n",
-      "4.400000000000001 -0.760000000000006\n",
-      "4.500000000000001 -1.2500000000000044\n",
-      "4.6000000000000005 -1.7600000000000025\n",
-      "4.7 -2.290000000000001\n",
-      "4.8 -2.839999999999999\n",
-      "4.8999999999999995 -3.4099999999999966\n",
-      "4.999999999999999 -3.9999999999999947\n",
-      "max occurred at 2.000000000000001 5.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 2b: write code to iterate over values \n",
-    "\n",
-    "start_x = 1\n",
-    "end_x = 5\n",
-    "delta_x = 0.1\n",
-    "\n",
-    "max_y = f(start_x)\n",
-    "max_x = start_x\n",
-    "print(max_y)\n",
-    "\n",
-    "current_x = start_x\n",
-    "\n",
-    "while False:  # change this\n",
-    "    y = f(current_x)\n",
-    "    print(current_x, y)\n",
-    "    if y > max_y:\n",
-    "        max_y = 0  # change this\n",
-    "        max_x = 0  # change this\n",
-    "    current_x += delta_x\n",
-    "print(\"max occurred at\", max_x, max_y)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# can we find a Riemann Sum ?"
-   ]
-  },
-  {
-   "attachments": {
-    "Riemann%20Sum.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![Riemann%20Sum.png](attachment:Riemann%20Sum.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 4: Riemann Sum\n",
-    "# copy/paste the code above\n",
-    "# change the block inside the while loop to find area under the curve\n",
-    "start_x = 1\n",
-    "end_x = 5\n",
-    "delta_x = 0.1\n",
-    "\n",
-    "total_area = 0\n",
-    "current_x = start_x\n",
-    "\n",
-    "\n",
-    "    \n",
-    "print(\"total area is: \", total_area)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 4:  write a function to determine if an integer is prime\n",
-    "import math\n",
-    "\n",
-    "def is_prime(x):\n",
-    "    \"\"\" returns True if x is prime, false otherwise. Assumes x is positive\"\"\"\n",
-    "\n",
-    "    divisor = 2\n",
-    "\n",
-    "    while divisor <= math.sqrt(x):\n",
-    "        if x % divisor == 0: # its divisble\n",
-    "            return ???     # not prime\n",
-    "        divisor += 1         # try the next number up\n",
-    "    return ???\n",
-    "\n",
-    "is_prime(101)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "is_prime(36)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "is_prime(2) #2 is prime, this should return True"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 6:  Write a loop that calls is_prime for all integers from 2 to 50\n",
-    "\n",
-    "print(\"Prime numbers:\")\n",
-    "number = 2\n",
-    "while number <= 50:\n",
-    "    if is_prime(number):\n",
-    "        print(number, \"is prime\")\n",
-    "    else:\n",
-    "        print(number, \"is not prime\")\n",
-    "    number += 1\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 7: What is an an off-by-one error? \n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 8:  Border by height and width\n",
-    "###########\n",
-    "#         #\n",
-    "#         #\n",
-    "###########\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "4\n",
-      "5\n",
-      "6\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 9:  Another kind of a loop is a for loop:\n",
-    "\n",
-    "for i in range(3,7):\n",
-    "    print(i) # don't need to change i"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0\n",
-      "1\n",
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
-   "source": [
-    "for i in range(5): #starts with ___, ends with ____\n",
-    "    print(i)"
-   ]
-  },
-  {
-   "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": 4
-}
diff --git a/f22/andy_lec_notes/lec_10/lec10_iteration1_850.ipynb b/f22/andy_lec_notes/lec_10/lec10_iteration1_850.ipynb
deleted file mode 100644
index 81cfced..0000000
--- a/f22/andy_lec_notes/lec_10/lec10_iteration1_850.ipynb
+++ /dev/null
@@ -1,1120 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Warmup: Slides"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import time\n",
-    "import math\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "2\n",
-      "1\n",
-      "DING DING DING DING DING \n"
-     ]
-    }
-   ],
-   "source": [
-    "# Warmup: Run this to see how it works\n",
-    "# Example 1:  Countdown Timer\n",
-    "# delete the repeated code \n",
-    "# change the if to while\n",
-    "\n",
-    "\n",
-    "seconds = 3\n",
-    "\n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "\n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "    \n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "    \n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "    \n",
-    "print(\"DING \" * 5)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### February 16:  Iteration part 1\n",
-    "\n",
-    "Learning Objectives: (after this lecture you should be able to...)\n",
-    "\n",
-    "11.1 Implement an iterative algorithm using a while loop\n",
-    "- example: printing / counting\n",
-    "- example: validating user input\n",
-    "- example: performing an iterative calculation\n",
-    "- example: character art\n",
-    "\n",
-    "11.2 Trace iterative algorithms and determine their output\n",
-    "\n",
-    "11.3 Recognize common while loop errors\n",
-    "- Infinite loops (when unintentional)\n",
-    "- Off-by-one mistakes in the loop control variable\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Slides"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2\n",
-      "1\n",
-      "DING DING DING DING DING \n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 1:  Countdown Timer\n",
-    "# delete the repeated code \n",
-    "# change the if to while\n",
-    "\n",
-    "\n",
-    "seconds = 2\n",
-    "\n",
-    "while seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "\n",
-    "print(\"DING \" * 5)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 1b:  what happens if you remove the line that decreases seconds? \n",
-    "# copy/paste the code and try it\n",
-    "\n",
-    "seconds = 2\n",
-    "\n",
-    "while seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "\n",
-    "print(\"DING \" * 5)\n",
-    "\n",
-    "\n",
-    "\n",
-    "# this is called an infinite loop"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1\n",
-      "2\n",
-      "3\n",
-      "4\n",
-      "5\n",
-      "DING DING DING DING DING \n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 1c: copy/paste the code from 1a but this time start at 1 and count up to 5\n",
-    "\n",
-    "seconds = 1\n",
-    "\n",
-    "while seconds < 6:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds += 1  # change the loop control variable\n",
-    "\n",
-    "print(\"DING \" * 5)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 2:  Put this code into Python Tutor to see how it works\n",
-    "# pythontutor.com\n",
-    "\n",
-    "n = 0\n",
-    "while n < 10:\n",
-    "    print(n)\n",
-    "    n += 2\n",
-    "    \n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 3: Find the max value of a function on an interval"
-   ]
-  },
-  {
-   "attachments": {
-    "graph.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![graph.png](attachment:graph.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Example 3a: define the function and test it\n",
-    "def f(x):\n",
-    "    return 5 - (x-2)**2\n",
-    "f(3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "4\n",
-      "1 4\n",
-      "1.1 4.19\n",
-      "1.2000000000000002 4.36\n",
-      "1.3000000000000003 4.510000000000001\n",
-      "1.4000000000000004 4.640000000000001\n",
-      "1.5000000000000004 4.75\n",
-      "1.6000000000000005 4.840000000000001\n",
-      "1.7000000000000006 4.91\n",
-      "1.8000000000000007 4.96\n",
-      "1.9000000000000008 4.99\n",
-      "2.000000000000001 5.0\n",
-      "2.100000000000001 4.99\n",
-      "2.200000000000001 4.96\n",
-      "2.300000000000001 4.909999999999999\n",
-      "2.4000000000000012 4.839999999999999\n",
-      "2.5000000000000013 4.749999999999998\n",
-      "2.6000000000000014 4.639999999999998\n",
-      "2.7000000000000015 4.509999999999998\n",
-      "2.8000000000000016 4.359999999999998\n",
-      "2.9000000000000017 4.189999999999997\n",
-      "3.0000000000000018 3.9999999999999964\n",
-      "3.100000000000002 3.7899999999999956\n",
-      "3.200000000000002 3.559999999999995\n",
-      "3.300000000000002 3.3099999999999947\n",
-      "3.400000000000002 3.039999999999994\n",
-      "3.500000000000002 2.7499999999999933\n",
-      "3.6000000000000023 2.4399999999999924\n",
-      "3.7000000000000024 2.109999999999992\n",
-      "3.8000000000000025 1.759999999999991\n",
-      "3.9000000000000026 1.3899999999999904\n",
-      "4.000000000000003 0.9999999999999893\n",
-      "4.100000000000002 0.5899999999999901\n",
-      "4.200000000000002 0.15999999999999126\n",
-      "4.300000000000002 -0.29000000000000714\n",
-      "4.400000000000001 -0.760000000000006\n",
-      "4.500000000000001 -1.2500000000000044\n",
-      "4.6000000000000005 -1.7600000000000025\n",
-      "4.7 -2.290000000000001\n",
-      "4.8 -2.839999999999999\n",
-      "4.8999999999999995 -3.4099999999999966\n",
-      "4.999999999999999 -3.9999999999999947\n",
-      "max occurred at 2.000000000000001 5.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 3b: write code to iterate over values \n",
-    "\n",
-    "start_x = 1\n",
-    "end_x = 5\n",
-    "delta_x = 0.1\n",
-    "\n",
-    "max_y = f(start_x)\n",
-    "max_x = start_x\n",
-    "print(max_y)\n",
-    "\n",
-    "current_x = start_x\n",
-    "\n",
-    "while current_x <= end_x:  # change this\n",
-    "    y = f(current_x)\n",
-    "    print(current_x, y)\n",
-    "    if y > max_y:\n",
-    "        max_y = y  \n",
-    "        max_x = current_x  \n",
-    "    current_x += delta_x\n",
-    "print(\"max occurred at\", max_x, max_y)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# can we find a Riemann Sum ?"
-   ]
-  },
-  {
-   "attachments": {
-    "Riemann%20Sum.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![Riemann%20Sum.png](attachment:Riemann%20Sum.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1 4\n",
-      "1.01 4.0199\n",
-      "1.02 4.0396\n",
-      "1.03 4.0591\n",
-      "1.04 4.0784\n",
-      "1.05 4.0975\n",
-      "1.06 4.1164000000000005\n",
-      "1.07 4.1351\n",
-      "1.08 4.1536\n",
-      "1.09 4.1719\n",
-      "1.1 4.19\n",
-      "1.11 4.2079\n",
-      "1.12 4.2256\n",
-      "1.1300000000000001 4.2431\n",
-      "1.1400000000000001 4.260400000000001\n",
-      "1.1500000000000001 4.2775\n",
-      "1.1600000000000001 4.2944\n",
-      "1.1700000000000002 4.311100000000001\n",
-      "1.1800000000000002 4.3276\n",
-      "1.1900000000000002 4.3439000000000005\n",
-      "1.2000000000000002 4.36\n",
-      "1.2100000000000002 4.375900000000001\n",
-      "1.2200000000000002 4.3916\n",
-      "1.2300000000000002 4.407100000000001\n",
-      "1.2400000000000002 4.4224000000000006\n",
-      "1.2500000000000002 4.4375\n",
-      "1.2600000000000002 4.452400000000001\n",
-      "1.2700000000000002 4.4671\n",
-      "1.2800000000000002 4.4816\n",
-      "1.2900000000000003 4.495900000000001\n",
-      "1.3000000000000003 4.510000000000001\n",
-      "1.3100000000000003 4.5239\n",
-      "1.3200000000000003 4.5376\n",
-      "1.3300000000000003 4.5511\n",
-      "1.3400000000000003 4.5644\n",
-      "1.3500000000000003 4.577500000000001\n",
-      "1.3600000000000003 4.590400000000001\n",
-      "1.3700000000000003 4.6031\n",
-      "1.3800000000000003 4.615600000000001\n",
-      "1.3900000000000003 4.6279\n",
-      "1.4000000000000004 4.640000000000001\n",
-      "1.4100000000000004 4.6519\n",
-      "1.4200000000000004 4.663600000000001\n",
-      "1.4300000000000004 4.6751000000000005\n",
-      "1.4400000000000004 4.686400000000001\n",
-      "1.4500000000000004 4.697500000000001\n",
-      "1.4600000000000004 4.7084\n",
-      "1.4700000000000004 4.7191\n",
-      "1.4800000000000004 4.7296000000000005\n",
-      "1.4900000000000004 4.7399000000000004\n",
-      "1.5000000000000004 4.75\n",
-      "1.5100000000000005 4.7599\n",
-      "1.5200000000000005 4.7696000000000005\n",
-      "1.5300000000000005 4.779100000000001\n",
-      "1.5400000000000005 4.7884\n",
-      "1.5500000000000005 4.7975\n",
-      "1.5600000000000005 4.8064\n",
-      "1.5700000000000005 4.8151\n",
-      "1.5800000000000005 4.823600000000001\n",
-      "1.5900000000000005 4.8319\n",
-      "1.6000000000000005 4.840000000000001\n",
-      "1.6100000000000005 4.8479\n",
-      "1.6200000000000006 4.855600000000001\n",
-      "1.6300000000000006 4.8631\n",
-      "1.6400000000000006 4.8704\n",
-      "1.6500000000000006 4.8775\n",
-      "1.6600000000000006 4.8844\n",
-      "1.6700000000000006 4.891100000000001\n",
-      "1.6800000000000006 4.897600000000001\n",
-      "1.6900000000000006 4.9039\n",
-      "1.7000000000000006 4.91\n",
-      "1.7100000000000006 4.915900000000001\n",
-      "1.7200000000000006 4.921600000000001\n",
-      "1.7300000000000006 4.9271\n",
-      "1.7400000000000007 4.9324\n",
-      "1.7500000000000007 4.9375\n",
-      "1.7600000000000007 4.9424\n",
-      "1.7700000000000007 4.947100000000001\n",
-      "1.7800000000000007 4.9516\n",
-      "1.7900000000000007 4.955900000000001\n",
-      "1.8000000000000007 4.96\n",
-      "1.8100000000000007 4.963900000000001\n",
-      "1.8200000000000007 4.9676\n",
-      "1.8300000000000007 4.9711\n",
-      "1.8400000000000007 4.9744\n",
-      "1.8500000000000008 4.9775\n",
-      "1.8600000000000008 4.9804\n",
-      "1.8700000000000008 4.9831\n",
-      "1.8800000000000008 4.9856\n",
-      "1.8900000000000008 4.9879\n",
-      "1.9000000000000008 4.99\n",
-      "1.9100000000000008 4.9919\n",
-      "1.9200000000000008 4.9936\n",
-      "1.9300000000000008 4.9951\n",
-      "1.9400000000000008 4.9964\n",
-      "1.9500000000000008 4.9975000000000005\n",
-      "1.9600000000000009 4.9984\n",
-      "1.9700000000000009 4.9991\n",
-      "1.9800000000000009 4.9996\n",
-      "1.9900000000000009 4.9999\n",
-      "2.000000000000001 5.0\n",
-      "2.0100000000000007 4.9999\n",
-      "2.0200000000000005 4.9996\n",
-      "2.0300000000000002 4.9991\n",
-      "2.04 4.9984\n",
-      "2.05 4.9975\n",
-      "2.0599999999999996 4.9964\n",
-      "2.0699999999999994 4.9951\n",
-      "2.079999999999999 4.9936\n",
-      "2.089999999999999 4.9919\n",
-      "2.0999999999999988 4.99\n",
-      "2.1099999999999985 4.987900000000001\n",
-      "2.1199999999999983 4.985600000000001\n",
-      "2.129999999999998 4.9831\n",
-      "2.139999999999998 4.9804\n",
-      "2.1499999999999977 4.977500000000001\n",
-      "2.1599999999999975 4.974400000000001\n",
-      "2.1699999999999973 4.971100000000001\n",
-      "2.179999999999997 4.967600000000001\n",
-      "2.189999999999997 4.9639000000000015\n",
-      "2.1999999999999966 4.960000000000002\n",
-      "2.2099999999999964 4.9559000000000015\n",
-      "2.219999999999996 4.951600000000002\n",
-      "2.229999999999996 4.947100000000002\n",
-      "2.2399999999999958 4.942400000000002\n",
-      "2.2499999999999956 4.937500000000002\n",
-      "2.2599999999999953 4.932400000000002\n",
-      "2.269999999999995 4.927100000000003\n",
-      "2.279999999999995 4.921600000000002\n",
-      "2.2899999999999947 4.915900000000003\n",
-      "2.2999999999999945 4.910000000000004\n",
-      "2.3099999999999943 4.903900000000004\n",
-      "2.319999999999994 4.897600000000004\n",
-      "2.329999999999994 4.891100000000004\n",
-      "2.3399999999999936 4.884400000000005\n",
-      "2.3499999999999934 4.877500000000005\n",
-      "2.359999999999993 4.8704000000000045\n",
-      "2.369999999999993 4.8631000000000055\n",
-      "2.379999999999993 4.855600000000005\n",
-      "2.3899999999999926 4.847900000000005\n",
-      "2.3999999999999924 4.840000000000006\n",
-      "2.409999999999992 4.831900000000006\n",
-      "2.419999999999992 4.823600000000007\n",
-      "2.4299999999999917 4.815100000000007\n",
-      "2.4399999999999915 4.806400000000007\n",
-      "2.4499999999999913 4.797500000000007\n",
-      "2.459999999999991 4.788400000000008\n",
-      "2.469999999999991 4.779100000000009\n",
-      "2.4799999999999907 4.769600000000009\n",
-      "2.4899999999999904 4.75990000000001\n",
-      "2.4999999999999902 4.75000000000001\n",
-      "2.50999999999999 4.73990000000001\n",
-      "2.51999999999999 4.72960000000001\n",
-      "2.5299999999999896 4.719100000000011\n",
-      "2.5399999999999894 4.708400000000012\n",
-      "2.549999999999989 4.697500000000012\n",
-      "2.559999999999989 4.686400000000012\n",
-      "2.5699999999999887 4.675100000000013\n",
-      "2.5799999999999885 4.663600000000013\n",
-      "2.5899999999999883 4.651900000000014\n",
-      "2.599999999999988 4.640000000000014\n",
-      "2.609999999999988 4.627900000000015\n",
-      "2.6199999999999877 4.615600000000016\n",
-      "2.6299999999999875 4.6031000000000155\n",
-      "2.6399999999999872 4.590400000000017\n",
-      "2.649999999999987 4.5775000000000166\n",
-      "2.659999999999987 4.564400000000018\n",
-      "2.6699999999999866 4.551100000000018\n",
-      "2.6799999999999864 4.537600000000019\n",
-      "2.689999999999986 4.523900000000019\n",
-      "2.699999999999986 4.510000000000019\n",
-      "2.7099999999999858 4.49590000000002\n",
-      "2.7199999999999855 4.481600000000021\n",
-      "2.7299999999999853 4.467100000000022\n",
-      "2.739999999999985 4.452400000000022\n",
-      "2.749999999999985 4.437500000000023\n",
-      "2.7599999999999847 4.422400000000024\n",
-      "2.7699999999999845 4.407100000000024\n",
-      "2.7799999999999843 4.391600000000024\n",
-      "2.789999999999984 4.375900000000025\n",
-      "2.799999999999984 4.360000000000026\n",
-      "2.8099999999999836 4.343900000000026\n",
-      "2.8199999999999834 4.327600000000027\n",
-      "2.829999999999983 4.311100000000028\n",
-      "2.839999999999983 4.294400000000029\n",
-      "2.8499999999999828 4.277500000000029\n",
-      "2.8599999999999826 4.26040000000003\n",
-      "2.8699999999999823 4.24310000000003\n",
-      "2.879999999999982 4.225600000000031\n",
-      "2.889999999999982 4.207900000000032\n",
-      "2.8999999999999817 4.190000000000033\n",
-      "2.9099999999999815 4.171900000000034\n",
-      "2.9199999999999813 4.153600000000035\n",
-      "2.929999999999981 4.135100000000035\n",
-      "2.939999999999981 4.116400000000036\n",
-      "2.9499999999999806 4.097500000000037\n",
-      "2.9599999999999804 4.0784000000000376\n",
-      "2.96999999999998 4.059100000000038\n",
-      "2.97999999999998 4.039600000000039\n",
-      "2.98999999999998 4.01990000000004\n",
-      "2.9999999999999796 4.000000000000041\n",
-      "3.0099999999999794 3.9799000000000415\n",
-      "3.019999999999979 3.9596000000000426\n",
-      "3.029999999999979 3.9391000000000433\n",
-      "3.0399999999999787 3.9184000000000445\n",
-      "3.0499999999999785 3.8975000000000453\n",
-      "3.0599999999999783 3.876400000000046\n",
-      "3.069999999999978 3.855100000000047\n",
-      "3.079999999999978 3.8336000000000476\n",
-      "3.0899999999999777 3.8119000000000485\n",
-      "3.0999999999999774 3.7900000000000498\n",
-      "3.1099999999999772 3.7679000000000507\n",
-      "3.119999999999977 3.7456000000000516\n",
-      "3.129999999999977 3.7231000000000525\n",
-      "3.1399999999999766 3.7004000000000534\n",
-      "3.1499999999999764 3.6775000000000544\n",
-      "3.159999999999976 3.6544000000000554\n",
-      "3.169999999999976 3.631100000000056\n",
-      "3.1799999999999757 3.6076000000000574\n",
-      "3.1899999999999755 3.5839000000000585\n",
-      "3.1999999999999753 3.560000000000059\n",
-      "3.209999999999975 3.53590000000006\n",
-      "3.219999999999975 3.5116000000000613\n",
-      "3.2299999999999747 3.487100000000062\n",
-      "3.2399999999999745 3.4624000000000636\n",
-      "3.2499999999999742 3.4375000000000644\n",
-      "3.259999999999974 3.4124000000000656\n",
-      "3.269999999999974 3.387100000000067\n",
-      "3.2799999999999736 3.3616000000000676\n",
-      "3.2899999999999734 3.335900000000069\n",
-      "3.299999999999973 3.3100000000000698\n",
-      "3.309999999999973 3.283900000000071\n",
-      "3.3199999999999728 3.257600000000072\n",
-      "3.3299999999999725 3.2311000000000734\n",
-      "3.3399999999999723 3.2044000000000743\n",
-      "3.349999999999972 3.1775000000000753\n",
-      "3.359999999999972 3.1504000000000767\n",
-      "3.3699999999999717 3.1231000000000773\n",
-      "3.3799999999999715 3.0956000000000787\n",
-      "3.3899999999999713 3.06790000000008\n",
-      "3.399999999999971 3.040000000000081\n",
-      "3.409999999999971 3.0119000000000824\n",
-      "3.4199999999999706 2.9836000000000835\n",
-      "3.4299999999999704 2.9551000000000847\n",
-      "3.43999999999997 2.926400000000086\n",
-      "3.44999999999997 2.897500000000087\n",
-      "3.4599999999999698 2.868400000000088\n",
-      "3.4699999999999696 2.8391000000000894\n",
-      "3.4799999999999693 2.8096000000000907\n",
-      "3.489999999999969 2.779900000000092\n",
-      "3.499999999999969 2.7500000000000933\n",
-      "3.5099999999999687 2.7199000000000946\n",
-      "3.5199999999999685 2.689600000000096\n",
-      "3.5299999999999683 2.6591000000000973\n",
-      "3.539999999999968 2.628400000000098\n",
-      "3.549999999999968 2.5975000000000996\n",
-      "3.5599999999999676 2.566400000000101\n",
-      "3.5699999999999674 2.5351000000001025\n",
-      "3.579999999999967 2.5036000000001035\n",
-      "3.589999999999967 2.471900000000105\n",
-      "3.599999999999967 2.440000000000106\n",
-      "3.6099999999999666 2.4079000000001076\n",
-      "3.6199999999999664 2.375600000000109\n",
-      "3.629999999999966 2.3431000000001103\n",
-      "3.639999999999966 2.310400000000112\n",
-      "3.6499999999999657 2.277500000000113\n",
-      "3.6599999999999655 2.2444000000001147\n",
-      "3.6699999999999653 2.211100000000116\n",
-      "3.679999999999965 2.177600000000117\n",
-      "3.689999999999965 2.143900000000119\n",
-      "3.6999999999999647 2.1100000000001202\n",
-      "3.7099999999999644 2.0759000000001215\n",
-      "3.7199999999999642 2.041600000000123\n",
-      "3.729999999999964 2.0071000000001247\n",
-      "3.739999999999964 1.972400000000126\n",
-      "3.7499999999999636 1.9375000000001275\n",
-      "3.7599999999999634 1.9024000000001289\n",
-      "3.769999999999963 1.8671000000001303\n",
-      "3.779999999999963 1.8316000000001318\n",
-      "3.7899999999999627 1.7959000000001333\n",
-      "3.7999999999999625 1.7600000000001348\n",
-      "3.8099999999999623 1.7239000000001363\n",
-      "3.819999999999962 1.6876000000001379\n",
-      "3.829999999999962 1.6511000000001395\n",
-      "3.8399999999999617 1.614400000000141\n",
-      "3.8499999999999615 1.5775000000001427\n",
-      "3.8599999999999612 1.5404000000001443\n",
-      "3.869999999999961 1.5031000000001455\n",
-      "3.879999999999961 1.4656000000001472\n",
-      "3.8899999999999606 1.427900000000149\n",
-      "3.8999999999999604 1.3900000000001507\n",
-      "3.90999999999996 1.351900000000152\n",
-      "3.91999999999996 1.3136000000001538\n",
-      "3.9299999999999597 1.2751000000001556\n",
-      "3.9399999999999595 1.236400000000157\n",
-      "3.9499999999999593 1.1975000000001588\n",
-      "3.959999999999959 1.1584000000001602\n",
-      "3.969999999999959 1.119100000000162\n",
-      "3.9799999999999587 1.0796000000001635\n",
-      "3.9899999999999585 1.0399000000001655\n",
-      "3.9999999999999583 1.000000000000167\n",
-      "4.009999999999958 0.959900000000169\n",
-      "4.019999999999958 0.9196000000001705\n",
-      "4.029999999999958 0.8791000000001725\n",
-      "4.039999999999957 0.8384000000001741\n",
-      "4.049999999999957 0.7975000000001753\n",
-      "4.059999999999957 0.7564000000001769\n",
-      "4.069999999999957 0.715100000000179\n",
-      "4.0799999999999566 0.6736000000001807\n",
-      "4.089999999999956 0.6319000000001829\n",
-      "4.099999999999956 0.5900000000001846\n",
-      "4.109999999999956 0.5479000000001859\n",
-      "4.119999999999956 0.5056000000001877\n",
-      "4.1299999999999555 0.4631000000001899\n",
-      "4.139999999999955 0.42040000000019173\n",
-      "4.149999999999955 0.3775000000001931\n",
-      "4.159999999999955 0.334400000000195\n",
-      "4.169999999999955 0.2911000000001973\n",
-      "4.179999999999954 0.24760000000019833\n",
-      "4.189999999999954 0.2039000000002007\n",
-      "4.199999999999954 0.16000000000020265\n",
-      "4.209999999999954 0.11590000000020417\n",
-      "4.219999999999954 0.07160000000020617\n",
-      "4.229999999999953 0.027100000000207736\n",
-      "4.239999999999953 -0.017599999999790228\n",
-      "4.249999999999953 -0.062499999999787725\n",
-      "4.259999999999953 -0.10759999999978653\n",
-      "4.2699999999999525 -0.152899999999784\n",
-      "4.279999999999952 -0.19839999999978275\n",
-      "4.289999999999952 -0.24409999999978016\n",
-      "4.299999999999952 -0.2899999999997789\n",
-      "4.309999999999952 -0.33609999999977624\n",
-      "4.319999999999951 -0.3823999999997749\n",
-      "4.329999999999951 -0.42889999999977313\n",
-      "4.339999999999951 -0.4755999999997709\n",
-      "4.349999999999951 -0.522499999999769\n",
-      "4.359999999999951 -0.5695999999997667\n",
-      "4.36999999999995 -0.6168999999997649\n",
-      "4.37999999999995 -0.6643999999997625\n",
-      "4.38999999999995 -0.7120999999997606\n",
-      "4.39999999999995 -0.7599999999997591\n",
-      "4.4099999999999495 -0.8080999999997562\n",
-      "4.419999999999949 -0.8563999999997547\n",
-      "4.429999999999949 -0.9048999999997527\n",
-      "4.439999999999949 -0.9535999999997502\n",
-      "4.449999999999949 -1.0024999999997481\n",
-      "4.4599999999999485 -1.0515999999997465\n",
-      "4.469999999999948 -1.1008999999997444\n",
-      "4.479999999999948 -1.1503999999997419\n",
-      "4.489999999999948 -1.2000999999997397\n",
-      "4.499999999999948 -1.249999999999738\n",
-      "4.509999999999947 -1.3000999999997358\n",
-      "4.519999999999947 -1.350399999999734\n",
-      "4.529999999999947 -1.4008999999997318\n",
-      "4.539999999999947 -1.451599999999729\n",
-      "4.5499999999999465 -1.5024999999997277\n",
-      "4.559999999999946 -1.553599999999725\n",
-      "4.569999999999946 -1.6048999999997227\n",
-      "4.579999999999946 -1.6563999999997208\n",
-      "4.589999999999946 -1.7080999999997184\n",
-      "4.5999999999999455 -1.7599999999997165\n",
-      "4.609999999999945 -1.812099999999714\n",
-      "4.619999999999945 -1.864399999999712\n",
-      "4.629999999999945 -1.9168999999997096\n",
-      "4.639999999999945 -1.9695999999997076\n",
-      "4.649999999999944 -2.022499999999705\n",
-      "4.659999999999944 -2.075599999999703\n",
-      "4.669999999999944 -2.1288999999997005\n",
-      "4.679999999999944 -2.1823999999996984\n",
-      "4.6899999999999435 -2.2360999999996967\n",
-      "4.699999999999943 -2.2899999999996936\n",
-      "4.709999999999943 -2.344099999999692\n",
-      "4.719999999999943 -2.3983999999996897\n",
-      "4.729999999999943 -2.452899999999687\n",
-      "4.7399999999999425 -2.5075999999996847\n",
-      "4.749999999999942 -2.562499999999683\n",
-      "4.759999999999942 -2.6175999999996797\n",
-      "4.769999999999942 -2.672899999999678\n",
-      "4.779999999999942 -2.7283999999996755\n",
-      "4.789999999999941 -2.7840999999996727\n",
-      "4.799999999999941 -2.8399999999996703\n",
-      "4.809999999999941 -2.8960999999996684\n",
-      "4.819999999999941 -2.952399999999666\n",
-      "4.829999999999941 -3.008899999999663\n",
-      "4.83999999999994 -3.0655999999996606\n",
-      "4.84999999999994 -3.1224999999996594\n",
-      "4.85999999999994 -3.179599999999656\n",
-      "4.86999999999994 -3.236899999999654\n",
-      "4.8799999999999395 -3.2943999999996514\n",
-      "4.889999999999939 -3.3520999999996484\n",
-      "4.899999999999939 -3.4099999999996466\n",
-      "4.909999999999939 -3.4680999999996445\n",
-      "4.919999999999939 -3.526399999999642\n",
-      "4.929999999999938 -3.5848999999996387\n",
-      "4.939999999999938 -3.643599999999637\n",
-      "4.949999999999938 -3.7024999999996346\n",
-      "4.959999999999938 -3.761599999999632\n",
-      "4.969999999999938 -3.8208999999996287\n",
-      "4.979999999999937 -3.880399999999627\n",
-      "4.989999999999937 -3.9400999999996245\n",
-      "4.999999999999937 -3.9999999999996216\n",
-      "total area is:  10.666600000000388\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 4: Riemann Sum\n",
-    "# copy/paste the code above\n",
-    "# change the block inside the while loop to find area under the curve\n",
-    "start_x = 1\n",
-    "end_x = 5\n",
-    "delta_x = 0.01\n",
-    "\n",
-    "total_area = 0\n",
-    "current_x = start_x\n",
-    "\n",
-    "while current_x < end_x: \n",
-    "    y = f(current_x)\n",
-    "    print(current_x, y)\n",
-    "    rectangle = y * delta_x\n",
-    "    total_area += rectangle\n",
-    "    current_x += delta_x\n",
-    "    \n",
-    "print(\"total area is: \", total_area)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Example 4:  write a function to determine if an integer is prime\n",
-    "\n",
-    "\n",
-    "def is_prime(x):\n",
-    "    \"\"\" returns True if x is prime, false otherwise. Assumes x is positive\"\"\"\n",
-    "\n",
-    "    divisor = 2\n",
-    "\n",
-    "    while divisor <= math.sqrt(x):\n",
-    "        if x % divisor == 0: # its divisble\n",
-    "            return False     # not prime\n",
-    "        divisor += 1         # try the next number up\n",
-    "    return True\n",
-    "\n",
-    "is_prime(17)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "is_prime(36)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "is_prime(2) #2 is prime, this should return True"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### for loop\n",
-    "\n",
-    "- does not require initialization of loop control variable outside the loop\n",
-    "- loop statement itself creates the loop control variable\n",
-    "- keywords `for` and `in`\n",
-    "\n",
-    "### range() function\n",
-    "- range(5) produces the sequence 0, 1, 2, 3, 4, \n",
-    "- range(3,5) produces the sequence 3, 4\n",
-    "- the ending number is not included\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "4\n",
-      "5\n",
-      "6\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 5:  Another kind of a loop is a for loop\n",
-    "# the loop control variable in this loop is increased by 1 in each iteration\n",
-    "\n",
-    "for i in range(3,7):  # while i < 7\n",
-    "    print(i) # don't need to change i"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0\n",
-      "1\n",
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
-   "source": [
-    "for i in range(5): #starts with 0, ends with 4\n",
-    "    print(i)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "10\n",
-      "11\n",
-      "12\n",
-      "13\n",
-      "14\n",
-      "15\n",
-      "16\n",
-      "17\n",
-      "18\n",
-      "19\n",
-      "20\n"
-     ]
-    }
-   ],
-   "source": [
-    "# write a for loop that prints out the integers from 10 to 20, inclusive\n",
-    "for i in range(10, 21):\n",
-    "    print(i)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Prime numbers:\n",
-      "2 is prime\n",
-      "3 is prime\n",
-      "4 is not prime\n",
-      "5 is prime\n",
-      "6 is not prime\n",
-      "7 is prime\n",
-      "8 is not prime\n",
-      "9 is not prime\n",
-      "10 is not prime\n",
-      "11 is prime\n",
-      "12 is not prime\n",
-      "13 is prime\n",
-      "14 is not prime\n",
-      "15 is not prime\n",
-      "16 is not prime\n",
-      "17 is prime\n",
-      "18 is not prime\n",
-      "19 is prime\n",
-      "20 is not prime\n",
-      "21 is not prime\n",
-      "22 is not prime\n",
-      "23 is prime\n",
-      "24 is not prime\n",
-      "25 is not prime\n",
-      "26 is not prime\n",
-      "27 is not prime\n",
-      "28 is not prime\n",
-      "29 is prime\n",
-      "30 is not prime\n",
-      "31 is prime\n",
-      "32 is not prime\n",
-      "33 is not prime\n",
-      "34 is not prime\n",
-      "35 is not prime\n",
-      "36 is not prime\n",
-      "37 is prime\n",
-      "38 is not prime\n",
-      "39 is not prime\n",
-      "40 is not prime\n",
-      "41 is prime\n",
-      "42 is not prime\n",
-      "43 is prime\n",
-      "44 is not prime\n",
-      "45 is not prime\n",
-      "46 is not prime\n",
-      "47 is prime\n",
-      "48 is not prime\n",
-      "49 is not prime\n",
-      "50 is not prime\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 6:  Change this `while` loop to a `for` loop \n",
-    "# 2 to 50 inclusive\n",
-    "\n",
-    "print(\"Prime numbers:\")\n",
-    "for number in range(2, 51):\n",
-    "    if is_prime(number):\n",
-    "        print(number, \"is prime\")\n",
-    "    else:\n",
-    "        print(number, \"is not prime\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 7: What is an an off-by-one error? \n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Practice :  Border by height and width\n",
-    "###########\n",
-    "#         #\n",
-    "#         #\n",
-    "###########\n",
-    "\n",
-    "width = 8\n",
-    "height = 4\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "4\n",
-      "5\n",
-      "6\n"
-     ]
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0\n",
-      "1\n",
-      "2\n",
-      "3\n",
-      "4\n"
-     ]
-    }
-   ],
-   "source": []
-  },
-  {
-   "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": "3.9.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/f22/andy_lec_notes/lec_10/lec10_iteration1_template.ipynb b/f22/andy_lec_notes/lec_10/lec10_iteration1_template.ipynb
deleted file mode 100644
index 6d6c5bc..0000000
--- a/f22/andy_lec_notes/lec_10/lec10_iteration1_template.ipynb
+++ /dev/null
@@ -1,586 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Warmup: Slides"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'beeper'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-3-1835ac85101b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmath\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mbeeper\u001b[0m  \u001b[0;31m# doesn't work on Windows, sorry\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'beeper'"
-     ]
-    }
-   ],
-   "source": [
-    "import time\n",
-    "import math\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Warmup: Run this to see how it works\n",
-    "# Example 1:  Countdown Timer\n",
-    "# delete the repeated code \n",
-    "# change the if to while\n",
-    "\n",
-    "\n",
-    "seconds = 2\n",
-    "\n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "\n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "    \n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "    \n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "    \n",
-    "print(\"DING \" * 5)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### February 16:  Iteration part 1\n",
-    "\n",
-    "Learning Objectives: (after this lecture you should be able to...)\n",
-    "\n",
-    "11.1 Implement an iterative algorithm using a while loop\n",
-    "- example: printing / counting\n",
-    "- example: validating user input\n",
-    "- example: performing an iterative calculation\n",
-    "- example: character art\n",
-    "\n",
-    "11.2 Trace iterative algorithms and determine their output\n",
-    "\n",
-    "11.3 Recognize common while loop errors\n",
-    "- Infinite loops (when unintentional)\n",
-    "- Off-by-one mistakes in the loop control variable\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Slides"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2\n",
-      "1\n",
-      "DING DING DING DING DING \n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 1:  Countdown Timer\n",
-    "# delete the repeated code \n",
-    "# change the if to while\n",
-    "\n",
-    "\n",
-    "seconds = 2\n",
-    "\n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "\n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "    \n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "    \n",
-    "if seconds > 0:\n",
-    "    print(seconds)\n",
-    "    time.sleep(1)  # 1 second\n",
-    "    seconds -= 1   # decrease seconds by 1\n",
-    "    \n",
-    "print(\"DING \" * 5)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 1b:  what happens if you remove the line that decreases seconds? \n",
-    "# copy/paste the code and try it\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "# this is called ......."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 1c: copy/paste the code from 1a but this time start at 1 and count up to 5\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 2:  Put this code into Python Tutor to see how it works\n",
-    "\n",
-    "n = 0\n",
-    "while n < 10:\n",
-    "    print(n)\n",
-    "    n += 2\n",
-    "    \n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 3: Find the max value of a function on an interval"
-   ]
-  },
-  {
-   "attachments": {
-    "graph.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![graph.png](attachment:graph.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Example 3a: define the function and test it\n",
-    "def f(x):\n",
-    "    return 5 - (x-2)**2\n",
-    "f(3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "4\n",
-      "1 4\n",
-      "1.1 4.19\n",
-      "1.2000000000000002 4.36\n",
-      "1.3000000000000003 4.510000000000001\n",
-      "1.4000000000000004 4.640000000000001\n",
-      "1.5000000000000004 4.75\n",
-      "1.6000000000000005 4.840000000000001\n",
-      "1.7000000000000006 4.91\n",
-      "1.8000000000000007 4.96\n",
-      "1.9000000000000008 4.99\n",
-      "2.000000000000001 5.0\n",
-      "2.100000000000001 4.99\n",
-      "2.200000000000001 4.96\n",
-      "2.300000000000001 4.909999999999999\n",
-      "2.4000000000000012 4.839999999999999\n",
-      "2.5000000000000013 4.749999999999998\n",
-      "2.6000000000000014 4.639999999999998\n",
-      "2.7000000000000015 4.509999999999998\n",
-      "2.8000000000000016 4.359999999999998\n",
-      "2.9000000000000017 4.189999999999997\n",
-      "3.0000000000000018 3.9999999999999964\n",
-      "3.100000000000002 3.7899999999999956\n",
-      "3.200000000000002 3.559999999999995\n",
-      "3.300000000000002 3.3099999999999947\n",
-      "3.400000000000002 3.039999999999994\n",
-      "3.500000000000002 2.7499999999999933\n",
-      "3.6000000000000023 2.4399999999999924\n",
-      "3.7000000000000024 2.109999999999992\n",
-      "3.8000000000000025 1.759999999999991\n",
-      "3.9000000000000026 1.3899999999999904\n",
-      "4.000000000000003 0.9999999999999893\n",
-      "4.100000000000002 0.5899999999999901\n",
-      "4.200000000000002 0.15999999999999126\n",
-      "4.300000000000002 -0.29000000000000714\n",
-      "4.400000000000001 -0.760000000000006\n",
-      "4.500000000000001 -1.2500000000000044\n",
-      "4.6000000000000005 -1.7600000000000025\n",
-      "4.7 -2.290000000000001\n",
-      "4.8 -2.839999999999999\n",
-      "4.8999999999999995 -3.4099999999999966\n",
-      "4.999999999999999 -3.9999999999999947\n",
-      "max occurred at 2.000000000000001 5.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 3b: write code to iterate over values \n",
-    "\n",
-    "start_x = 1\n",
-    "end_x = 5\n",
-    "delta_x = 0.1\n",
-    "\n",
-    "max_y = f(start_x)\n",
-    "max_x = start_x\n",
-    "print(max_y)\n",
-    "\n",
-    "current_x = start_x\n",
-    "\n",
-    "while False:  # change this\n",
-    "    y = f(current_x)\n",
-    "    print(current_x, y)\n",
-    "    if y > max_y:\n",
-    "        max_y = 0  # change this\n",
-    "        max_x = 0  # change this\n",
-    "    current_x += delta_x\n",
-    "print(\"max occurred at\", max_x, max_y)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# can we find a Riemann Sum ?"
-   ]
-  },
-  {
-   "attachments": {
-    "Riemann%20Sum.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![Riemann%20Sum.png](attachment:Riemann%20Sum.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 4: Riemann Sum\n",
-    "# copy/paste the code above\n",
-    "# change the block inside the while loop to find area under the curve\n",
-    "start_x = 1\n",
-    "end_x = 5\n",
-    "delta_x = 0.1\n",
-    "\n",
-    "total_area = 0\n",
-    "current_x = start_x\n",
-    "\n",
-    "\n",
-    "    \n",
-    "print(\"total area is: \", total_area)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 4:  write a function to determine if an integer is prime\n",
-    "\n",
-    "\n",
-    "def is_prime(x):\n",
-    "    \"\"\" returns True if x is prime, false otherwise. Assumes x is positive\"\"\"\n",
-    "\n",
-    "    divisor = 2\n",
-    "\n",
-    "    while divisor <= math.sqrt(x):\n",
-    "        if x % divisor == 0: # its divisble\n",
-    "            return ???     # not prime\n",
-    "        divisor += 1         # try the next number up\n",
-    "    return ???\n",
-    "\n",
-    "is_prime(101)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "is_prime(36)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "is_prime(2) #2 is prime, this should return True"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### for loop\n",
-    "\n",
-    "- does not require initialization of loop control variable outside the loop\n",
-    "- loop statement itself creates the loop control variable\n",
-    "- keywords `for` and `in`\n",
-    "\n",
-    "### range() function\n",
-    "- range(5) produces the sequence 0, 1, 2, 3, 4, \n",
-    "- range(3,5) produces the sequence 3, 4\n",
-    "- the ending number is not included\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 5:  Another kind of a loop is a for loop\n",
-    "# the loop control variable in this loop is increased by 1 in each iteration\n",
-    "\n",
-    "for i in range(3,7):\n",
-    "    print(i) # don't need to change i"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for i in range(5): #starts with ___, ends with ____\n",
-    "    print(i)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# write a for loop that prints out the integers from 10 to 20, inclusive\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 6:  Change this `while` loop to a `for` loop \n",
-    "\n",
-    "print(\"Prime numbers:\")\n",
-    "number = 2\n",
-    "while number <= 50:\n",
-    "    if is_prime(number):\n",
-    "        print(number, \"is prime\")\n",
-    "    else:\n",
-    "        print(number, \"is not prime\")\n",
-    "    number += 1\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 7: What is an an off-by-one error? \n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Practice :  Border by height and width\n",
-    "###########\n",
-    "#         #\n",
-    "#         #\n",
-    "###########\n",
-    "\n",
-    "width = 8\n",
-    "height = 4\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "4\n",
-      "5\n",
-      "6\n"
-     ]
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0\n",
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-- 
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