Tasca_M9_T01.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "32f2ac99",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "    <b>Librerias</b></div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "7ce710de",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\ASUSPC\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package vader_lexicon to\n",
      "[nltk_data]     C:\\Users\\ASUSPC\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package vader_lexicon is already up-to-date!\n",
      "[nltk_data] Downloading package wordnet to\n",
      "[nltk_data]     C:\\Users\\ASUSPC\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n",
      "[nltk_data] Downloading package omw-1.4 to\n",
      "[nltk_data]     C:\\Users\\ASUSPC\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package omw-1.4 is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "# ======================\n",
    "\n",
    "from bs4 import BeautifulSoup\n",
    "# ================================\n",
    "\n",
    "import spacy\n",
    "# ============================\n",
    "\n",
    "from textblob import TextBlob\n",
    "# =============================\n",
    "\n",
    "from collections import Counter\n",
    "# =============================\n",
    "\n",
    "import numpy as np\n",
    "# ===================================\n",
    "\n",
    "import pandas as pd\n",
    "# ===================================\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import style\n",
    "from matplotlib import colors\n",
    "# ===================================\n",
    "\n",
    "import plotly.graph_objs as go\n",
    "import plotly.offline as py\n",
    "import matplotlib.pyplot as plt\n",
    "# ==============================\n",
    "\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import sent_tokenize\n",
    "from nltk.sentiment import SentimentIntensityAnalyzer\n",
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "#from nltk.sentiment.vader import SentimentIntensityAnalyzer\n",
    "\n",
    "\n",
    "nltk.download('punkt')\n",
    "nltk.download('vader_lexicon')\n",
    "nltk.download('wordnet')\n",
    "nltk.download('omw-1.4')\n",
    "# =========================================\n",
    "\n",
    "import vaderSentiment\n",
    "#from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
    "# =========================================\n",
    "\n",
    "import string\n",
    "# ===============\n",
    "\n",
    "import warnings\n",
    "import os\n",
    "# =================================================\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "%matplotlib inline\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "bd553c4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUSPC\\IT_academy\\Tasca_M9\n"
     ]
    }
   ],
   "source": [
    "#Entorno de trabajo\n",
    "# ==================\n",
    "print(os.getcwd())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a064a8c",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "    <b>Texto</b></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df677e81",
   "metadata": {},
   "source": [
    "Se usa el texto del inspirador y motivador discurso que Steve Jobs dió en la Universidad de Stanford en junio de 2005."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "1d1ed6ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "200\n",
      "{'Connection': 'keep-alive', 'Content-Length': '28591', 'Cache-Control': 'public, max-age=86400', 'Content-Encoding': 'gzip', 'Content-Type': 'text/html; charset=UTF-8', 'Link': '<https://news.stanford.edu/wp-json/>; rel=\"https://api.w.org/\", <https://news.stanford.edu/wp-json/wp/v2/posts/44960>; rel=\"alternate\"; type=\"application/json\", <https://news.stanford.edu/?p=44960>; rel=shortlink', 'Server': 'nginx', 'Strict-Transport-Security': 'max-age=300', 'X-Pantheon-Styx-Hostname': 'styx-fe1-a-8854d7986-8j4fz', 'X-Styx-Req-Id': '9b4918eb-259e-11ee-9db1-0655140b32b2', 'Age': '47893', 'Accept-Ranges': 'bytes', 'Via': '1.1 varnish, 1.1 varnish, 1.1 varnish', 'Date': 'Wed, 19 Jul 2023 08:27:36 GMT', 'X-Served-By': 'cache-chi-klot8100114-CHI, cache-chi-klot8100114-CHI, cache-mad22066-MAD', 'X-Cache': 'HIT, MISS, MISS', 'X-Cache-Hits': '124, 0, 0', 'X-Timer': 'S1689755256.149180,VS0,VE107', 'Vary': 'Accept-Encoding, Cookie'}\n"
     ]
    }
   ],
   "source": [
    "# Se realiza la solicitud GET a la página web de Stanford\n",
    "# ======================================================\n",
    "my_request = requests.get('https://news.stanford.edu/2005/06/12/youve-got-find-love-jobs-says/')\n",
    "\n",
    "print(my_request.status_code)\n",
    "print(my_request.headers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "7699b177",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#print(my_request.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "b6853ed1",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a prepared text of the Commencement address delivered by Steve Jobs, CEO of Apple Computer and of Pixar Animation Studios, on June 12, 2005.\n",
      " Go to the web site to view the video.\n",
      "Steve Jobs’ 2005 Stanford Commencement Address\n",
      "I am honored to be with you today at your commencement from one of the finest universities in the world. I never graduated from college. Truth be told, this is the closest I’ve ever gotten to a college graduation. Today I want to tell you three stories from my life. That’s it. No big deal. Just three stories.\n",
      "The first story is about connecting the dots.\n",
      "I dropped out of Reed College after the first 6 months, but then stayed around as a drop-in for another 18 months or so before I really quit. So why did I drop out?\n",
      "It started before I was born. My biological mother was a young, unwed college graduate student, and she decided to put me up for adoption. She felt very strongly that I should be adopted by college graduates, so everything was all set for me to be adopted at birth by a lawyer and his wife. Except that when I popped out they decided at the last minute that they really wanted a girl. So my parents, who were on a waiting list, got a call in the middle of the night asking: “We have an unexpected baby boy; do you want him?” They said: “Of course.” My biological mother later found out that my mother had never graduated from college and that my father had never graduated from high school. She refused to sign the final adoption papers. She only relented a few months later when my parents promised that I would someday go to college.\n",
      "And 17 years later I did go to college. But I naively chose a college that was almost as expensive as Stanford, and all of my working-class parents’ savings were being spent on my college tuition. After six months, I couldn’t see the value in it. I had no idea what I wanted to do with my life and no idea how college was going to help me figure it out. And here I was spending all of the money my parents had saved their entire life. So I decided to drop out and trust that it would all work out OK. It was pretty scary at the time, but looking back it was one of the best decisions I ever made. The minute I dropped out I could stop taking the required classes that didn’t interest me, and begin dropping in on the ones that looked interesting.\n",
      "It wasn’t all romantic. I didn’t have a dorm room, so I slept on the floor in friends’ rooms, I returned Coke bottles for the 5¢ deposits to buy food with, and I would walk the 7 miles across town every Sunday night to get one good meal a week at the Hare Krishna temple. I loved it. And much of what I stumbled into by following my curiosity and intuition turned out to be priceless later on. Let me give you one example:\n",
      "Reed College at that time offered perhaps the best calligraphy instruction in the country. Throughout the campus every poster, every label on every drawer, was beautifully hand calligraphed. Because I had dropped out and didn’t have to take the normal classes, I decided to take a calligraphy class to learn how to do this. I learned about serif and sans serif typefaces, about varying the amount of space between different letter combinations, about what makes great typography great. It was beautiful, historical, artistically subtle in a way that science can’t capture, and I found it fascinating.\n",
      "None of this had even a hope of any practical application in my life. But 10 years later, when we were designing the first Macintosh computer, it all came back to me. And we designed it all into the Mac. It was the first computer with beautiful typography. If I had never dropped in on that single course in college, the Mac would have never had multiple typefaces or proportionally spaced fonts. And since Windows just copied the Mac, it’s likely that no personal computer would have them. If I had never dropped out, I would have never dropped in on this calligraphy class, and personal computers might not have the wonderful typography that they do. Of course it was impossible to connect the dots looking forward when I was in college. But it was very, very clear looking backward 10 years later.\n",
      "Again, you can’t connect the dots looking forward; you can only connect them looking backward. So you have to trust that the dots will somehow connect in your future. You have to trust in something — your gut, destiny, life, karma, whatever. This approach has never let me down, and it has made all the difference in my life.\n",
      "My second story is about love and loss.\n",
      "I was lucky — I found what I loved to do early in life. Woz and I started Apple in my parents’ garage when I was 20. We worked hard, and in 10 years Apple had grown from just the two of us in a garage into a $2 billion company with over 4,000 employees. We had just released our finest creation — the Macintosh — a year earlier, and I had just turned 30. And then I got fired. How can you get fired from a company you started? Well, as Apple grew we hired someone who I thought was very talented to run the company with me, and for the first year or so things went well. But then our visions of the future began to diverge and eventually we had a falling out. When we did, our Board of Directors sided with him. So at 30 I was out. And very publicly out. What had been the focus of my entire adult life was gone, and it was devastating.\n",
      "I really didn’t know what to do for a few months. I felt that I had let the previous generation of entrepreneurs down — that I had dropped the baton as it was being passed to me. I met with David Packard and Bob Noyce and tried to apologize for screwing up so badly. I was a very public failure, and I even thought about running away from the valley. But something slowly began to dawn on me — I still loved what I did. The turn of events at Apple had not changed that one bit. I had been rejected, but I was still in love. And so I decided to start over.\n",
      "I didn’t see it then, but it turned out that getting fired from Apple was the best thing that could have ever happened to me. The heaviness of being successful was replaced by the lightness of being a beginner again, less sure about everything. It freed me to enter one of the most creative periods of my life.\n",
      "During the next five years, I started a company named NeXT, another company named Pixar, and fell in love with an amazing woman who would become my wife. Pixar went on to create the world’s first computer animated feature film, Toy Story, and is now the most successful animation studio in the world. In a remarkable turn of events, Apple bought NeXT, I returned to Apple, and the technology we developed at NeXT is at the heart of Apple’s current renaissance. And Laurene and I have a wonderful family together.\n",
      "I’m pretty sure none of this would have happened if I hadn’t been fired from Apple. It was awful tasting medicine, but I guess the patient needed it. Sometimes life hits you in the head with a brick. Don’t lose faith. I’m convinced that the only thing that kept me going was that I loved what I did. You’ve got to find what you love. And that is as true for your work as it is for your lovers. Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work. And the only way to do great work is to love what you do. If you haven’t found it yet, keep looking. Don’t settle. As with all matters of the heart, you’ll know when you find it. And, like any great relationship, it just gets better and better as the years roll on. So keep looking until you find it. Don’t settle.\n",
      "My third story is about death.\n",
      "When I was 17, I read a quote that went something like: “If you live each day as if it was your last, someday you’ll most certainly be right.” It made an impression on me, and since then, for the past 33 years, I have looked in the mirror every morning and asked myself: “If today were the last day of my life, would I want to do what I am about to do today?” And whenever the answer has been “No” for too many days in a row, I know I need to change something.\n",
      "Remembering that I’ll be dead soon is the most important tool I’ve ever encountered to help me make the big choices in life. Because almost everything — all external expectations, all pride, all fear of embarrassment or failure — these things just fall away in the face of death, leaving only what is truly important. Remembering that you are going to die is the best way I know to avoid the trap of thinking you have something to lose. You are already naked. There is no reason not to follow your heart.\n",
      "About a year ago I was diagnosed with cancer. I had a scan at 7:30 in the morning, and it clearly showed a tumor on my pancreas. I didn’t even know what a pancreas was. The doctors told me this was almost certainly a type of cancer that is incurable, and that I should expect to live no longer than three to six months. My doctor advised me to go home and get my affairs in order, which is doctor’s code for prepare to die. It means to try to tell your kids everything you thought you’d have the next 10 years to tell them in just a few months. It means to make sure everything is buttoned up so that it will be as easy as possible for your family. It means to say your goodbyes.\n",
      "I lived with that diagnosis all day. Later that evening I had a biopsy, where they stuck an endoscope down my throat, through my stomach and into my intestines, put a needle into my pancreas and got a few cells from the tumor. I was sedated, but my wife, who was there, told me that when they viewed the cells under a microscope the doctors started crying because it turned out to be a very rare form of pancreatic cancer that is curable with surgery. I had the surgery and I’m fine now.\n",
      "This was the closest I’ve been to facing death, and I hope it’s the closest I get for a few more decades. Having lived through it, I can now say this to you with a bit more certainty than when death was a useful but purely intellectual concept:\n",
      "No one wants to die. Even people who want to go to heaven don’t want to die to get there. And yet death is the destination we all share. No one has ever escaped it. And that is as it should be, because Death is very likely the single best invention of Life. It is Life’s change agent. It clears out the old to make way for the new. Right now the new is you, but someday not too long from now, you will gradually become the old and be cleared away. Sorry to be so dramatic, but it is quite true.\n",
      "Your time is limited, so don’t waste it living someone else’s life. Don’t be trapped by dogma — which is living with the results of other people’s thinking. Don’t let the noise of others’ opinions drown out your own inner voice. And most important, have the courage to follow your heart and intuition. They somehow already know what you truly want to become. Everything else is secondary.\n",
      "When I was young, there was an amazing publication called The Whole Earth Catalog, which was one of the bibles of my generation. It was created by a fellow named Stewart Brand not far from here in Menlo Park, and he brought it to life with his poetic touch. This was in the late 1960s, before personal computers and desktop publishing, so it was all made with typewriters, scissors and Polaroid cameras. It was sort of like Google in paperback form, 35 years before Google came along: It was idealistic, and overflowing with neat tools and great notions.\n",
      "Stewart and his team put out several issues of The Whole Earth Catalog, and then when it had run its course, they put out a final issue. It was the mid-1970s, and I was your age. On the back cover of their final issue was a photograph of an early morning country road, the kind you might find yourself hitchhiking on if you were so adventurous. Beneath it were the words: “Stay Hungry. Stay Foolish.” It was their farewell message as they signed off. Stay Hungry. Stay Foolish. And I have always wished that for myself. And now, as you graduate to begin anew, I wish that for you.\n",
      "Stay Hungry. Stay Foolish.\n",
      "Thank you all very much.\n",
      "Stanford engineers Zhiye Li and Michael Lepech discuss the potential for reusing discarded plastic in infrastructure applications.\n",
      "Stanford’s new first-year requirement, Civic, Liberal, and Global Education (COLLEGE), invites students to reflect on their own place and purpose at Stanford, in society, and in the world.\n",
      "Stanford Medicine’s Smita Das wants to break the misconception that marijuana is not addictive.\n",
      "To receive Stanford news daily,\n",
      "subscribe to Stanford Report.\n",
      "Stanford News is a publication of Stanford University Communications\n",
      "© Stanford University.   Stanford, California 94305.\n"
     ]
    }
   ],
   "source": [
    "my_doc = my_request.text\n",
    "doc_final = BeautifulSoup(my_doc, \"html.parser\")\n",
    "\n",
    "for parrafo in doc_final.find_all(\"p\"):\n",
    "    print(parrafo.text)   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6796b3d1",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\" role=\"alert\">\n",
    "  <strong>Exercici 1:</strong> \n",
    "    <p> Agafa un text en anglès que vulguis, i calcula'n la freqüència de les paraules.</p>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86e752d5",
   "metadata": {},
   "source": [
    "Creamos una variable cadena de caracteres con el texto que nos interesa."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "6f64d15a",
   "metadata": {},
   "outputs": [],
   "source": [
    "texto= \"\"\"I am honored to be with you today at your commencement from one of the finest universities in the world. I never graduated from college. Truth be told, this is the closest I’ve ever gotten to a college graduation. Today I want to tell you three stories from my life. That’s it. No big deal. Just three stories.\n",
    "The first story is about connecting the dots.\n",
    "I dropped out of Reed College after the first 6 months, but then stayed around as a drop-in for another 18 months or so before I really quit. So why did I drop out?\n",
    "It started before I was born. My biological mother was a young, unwed college graduate student, and she decided to put me up for adoption. She felt very strongly that I should be adopted by college graduates, so everything was all set for me to be adopted at birth by a lawyer and his wife. Except that when I popped out they decided at the last minute that they really wanted a girl. So my parents, who were on a waiting list, got a call in the middle of the night asking: “We have an unexpected baby boy; do you want him?” They said: “Of course.” My biological mother later found out that my mother had never graduated from college and that my father had never graduated from high school. She refused to sign the final adoption papers. She only relented a few months later when my parents promised that I would someday go to college.\n",
    "And 17 years later I did go to college. But I naively chose a college that was almost as expensive as Stanford, and all of my working-class parents’ savings were being spent on my college tuition. After six months, I couldn’t see the value in it. I had no idea what I wanted to do with my life and no idea how college was going to help me figure it out. And here I was spending all of the money my parents had saved their entire life. So I decided to drop out and trust that it would all work out OK. It was pretty scary at the time, but looking back it was one of the best decisions I ever made. The minute I dropped out I could stop taking the required classes that didn’t interest me, and begin dropping in on the ones that looked interesting.\n",
    "It wasn’t all romantic. I didn’t have a dorm room, so I slept on the floor in friends’ rooms, I returned Coke bottles for the 5¢ deposits to buy food with, and I would walk the 7 miles across town every Sunday night to get one good meal a week at the Hare Krishna temple. I loved it. And much of what I stumbled into by following my curiosity and intuition turned out to be priceless later on. Let me give you one example:\n",
    "Reed College at that time offered perhaps the best calligraphy instruction in the country. Throughout the campus every poster, every label on every drawer, was beautifully hand calligraphed. Because I had dropped out and didn’t have to take the normal classes, I decided to take a calligraphy class to learn how to do this. I learned about serif and sans serif typefaces, about varying the amount of space between different letter combinations, about what makes great typography great. It was beautiful, historical, artistically subtle in a way that science can’t capture, and I found it fascinating.\n",
    "None of this had even a hope of any practical application in my life. But 10 years later, when we were designing the first Macintosh computer, it all came back to me. And we designed it all into the Mac. It was the first computer with beautiful typography. If I had never dropped in on that single course in college, the Mac would have never had multiple typefaces or proportionally spaced fonts. And since Windows just copied the Mac, it’s likely that no personal computer would have them. If I had never dropped out, I would have never dropped in on this calligraphy class, and personal computers might not have the wonderful typography that they do. Of course it was impossible to connect the dots looking forward when I was in college. But it was very, very clear looking backward 10 years later.\n",
    "Again, you can’t connect the dots looking forward; you can only connect them looking backward. So you have to trust that the dots will somehow connect in your future. You have to trust in something — your gut, destiny, life, karma, whatever. This approach has never let me down, and it has made all the difference in my life.\n",
    "My second story is about love and loss.\n",
    "I was lucky — I found what I loved to do early in life. Woz and I started Apple in my parents’ garage when I was 20. We worked hard, and in 10 years Apple had grown from just the two of us in a garage into a $2 billion company with over 4,000 employees. We had just released our finest creation — the Macintosh — a year earlier, and I had just turned 30. And then I got fired. How can you get fired from a company you started? Well, as Apple grew we hired someone who I thought was very talented to run the company with me, and for the first year or so things went well. But then our visions of the future began to diverge and eventually we had a falling out. When we did, our Board of Directors sided with him. So at 30 I was out. And very publicly out. What had been the focus of my entire adult life was gone, and it was devastating.\n",
    "I really didn’t know what to do for a few months. I felt that I had let the previous generation of entrepreneurs down — that I had dropped the baton as it was being passed to me. I met with David Packard and Bob Noyce and tried to apologize for screwing up so badly. I was a very public failure, and I even thought about running away from the valley. But something slowly began to dawn on me — I still loved what I did. The turn of events at Apple had not changed that one bit. I had been rejected, but I was still in love. And so I decided to start over.\n",
    "I didn’t see it then, but it turned out that getting fired from Apple was the best thing that could have ever happened to me. The heaviness of being successful was replaced by the lightness of being a beginner again, less sure about everything. It freed me to enter one of the most creative periods of my life.\n",
    "During the next five years, I started a company named NeXT, another company named Pixar, and fell in love with an amazing woman who would become my wife. Pixar went on to create the world’s first computer animated feature film, Toy Story, and is now the most successful animation studio in the world. In a remarkable turn of events, Apple bought NeXT, I returned to Apple, and the technology we developed at NeXT is at the heart of Apple’s current renaissance. And Laurene and I have a wonderful family together.\n",
    "I’m pretty sure none of this would have happened if I hadn’t been fired from Apple. It was awful tasting medicine, but I guess the patient needed it. Sometimes life hits you in the head with a brick. Don’t lose faith. I’m convinced that the only thing that kept me going was that I loved what I did. You’ve got to find what you love. And that is as true for your work as it is for your lovers. Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work. And the only way to do great work is to love what you do. If you haven’t found it yet, keep looking. Don’t settle. As with all matters of the heart, you’ll know when you find it. And, like any great relationship, it just gets better and better as the years roll on. So keep looking until you find it. Don’t settle.\n",
    "My third story is about death.\n",
    "When I was 17, I read a quote that went something like: “If you live each day as if it was your last, someday you’ll most certainly be right.” It made an impression on me, and since then, for the past 33 years, I have looked in the mirror every morning and asked myself: “If today were the last day of my life, would I want to do what I am about to do today?” And whenever the answer has been “No” for too many days in a row, I know I need to change something.\n",
    "Remembering that I’ll be dead soon is the most important tool I’ve ever encountered to help me make the big choices in life. Because almost everything — all external expectations, all pride, all fear of embarrassment or failure — these things just fall away in the face of death, leaving only what is truly important. Remembering that you are going to die is the best way I know to avoid the trap of thinking you have something to lose. You are already naked. There is no reason not to follow your heart.\n",
    "About a year ago I was diagnosed with cancer. I had a scan at 7:30 in the morning, and it clearly showed a tumor on my pancreas. I didn’t even know what a pancreas was. The doctors told me this was almost certainly a type of cancer that is incurable, and that I should expect to live no longer than three to six months. My doctor advised me to go home and get my affairs in order, which is doctor’s code for prepare to die. It means to try to tell your kids everything you thought you’d have the next 10 years to tell them in just a few months. It means to make sure everything is buttoned up so that it will be as easy as possible for your family. It means to say your goodbyes.\n",
    "I lived with that diagnosis all day. Later that evening I had a biopsy, where they stuck an endoscope down my throat, through my stomach and into my intestines, put a needle into my pancreas and got a few cells from the tumor. I was sedated, but my wife, who was there, told me that when they viewed the cells under a microscope the doctors started crying because it turned out to be a very rare form of pancreatic cancer that is curable with surgery. I had the surgery and I’m fine now.\n",
    "This was the closest I’ve been to facing death, and I hope it’s the closest I get for a few more decades. Having lived through it, I can now say this to you with a bit more certainty than when death was a useful but purely intellectual concept:\n",
    "No one wants to die. Even people who want to go to heaven don’t want to die to get there. And yet death is the destination we all share. No one has ever escaped it. And that is as it should be, because Death is very likely the single best invention of Life. It is Life’s change agent. It clears out the old to make way for the new. Right now the new is you, but someday not too long from now, you will gradually become the old and be cleared away. Sorry to be so dramatic, but it is quite true.\n",
    "Your time is limited, so don’t waste it living someone else’s life. Don’t be trapped by dogma — which is living with the results of other people’s thinking. Don’t let the noise of others’ opinions drown out your own inner voice. And most important, have the courage to follow your heart and intuition. They somehow already know what you truly want to become. Everything else is secondary.\n",
    "When I was young, there was an amazing publication called The Whole Earth Catalog, which was one of the bibles of my generation. It was created by a fellow named Stewart Brand not far from here in Menlo Park, and he brought it to life with his poetic touch. This was in the late 1960s, before personal computers and desktop publishing, so it was all made with typewriters, scissors and Polaroid cameras. It was sort of like Google in paperback form, 35 years before Google came along: It was idealistic, and overflowing with neat tools and great notions.\n",
    "Stewart and his team put out several issues of The Whole Earth Catalog, and then when it had run its course, they put out a final issue. It was the mid-1970s, and I was your age. On the back cover of their final issue was a photograph of an early morning country road, the kind you might find yourself hitchhiking on if you were so adventurous. Beneath it were the words: “Stay Hungry. Stay Foolish.” It was their farewell message as they signed off. Stay Hungry. Stay Foolish. And I have always wished that for myself. And now, as you graduate to begin anew, I wish that for you.\n",
    "Stay Hungry. Stay Foolish.\n",
    "Thank you all very much.\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "fc546db0",
   "metadata": {},
   "outputs": [],
   "source": [
    "texto = texto.replace(\"—\", \",\").replace(\"\\n\", \"\").replace('“', '').replace('”', '').replace('’',' ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "1c923b73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('the', 91),\n",
       " ('I', 87),\n",
       " ('to', 71),\n",
       " ('and', 49),\n",
       " ('was', 47),\n",
       " ('a', 46),\n",
       " ('of', 40),\n",
       " ('that', 38),\n",
       " ('in', 33),\n",
       " ('you', 30)]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Contamos la frequencia de cada palabra\n",
    "# ===========================================\n",
    "cnt = Counter()\n",
    "\n",
    "for word in texto.split():\n",
    "    cnt[word] += 1\n",
    "        \n",
    "cnt.most_common(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "ed1b9873",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualización de las 20 palabras mas comunes\n",
    "# ===========================================\n",
    "plot= cnt.most_common(20)\n",
    "\n",
    "word, value = zip(*plot)\n",
    "\n",
    "# Crear el gráfico de barras\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(word, value)\n",
    "plt.xticks(rotation=45)\n",
    "plt.xlabel('Palabra')\n",
    "plt.ylabel('Frecuencia')\n",
    "plt.title('Palabras más comunes en el texto')\n",
    "plt.tight_layout()\n",
    "\n",
    "# Mostrar el gráfico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c04d4564",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\" role=\"alert\">\n",
    "  <strong>Exercici 2:</strong> \n",
    "    <p> Treu les stopwords i realitza stemming al teu conjunt de dades.</p>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a95df39b",
   "metadata": {},
   "source": [
    "- Aplicamos lower casing para que el testo tenga el mismo formato"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "a269d017",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "texto = texto.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "fa51b112",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i am honored to be with you today at your commencement from one of the finest universities in the world.\n",
      "i never graduated from college.\n",
      "truth be told, this is the closest i ve ever gotten to a college graduation.\n",
      "today i want to tell you three stories from my life.\n",
      "that s it.\n",
      "no big deal.\n",
      "just three stories.the first story is about connecting the dots.i dropped out of reed college after the first 6 months, but then stayed around as a drop-in for another 18 months or so before i really quit.\n",
      "so why did i drop out?it started before i was born.\n",
      "my biological mother was a young, unwed college graduate student, and she decided to put me up for adoption.\n",
      "she felt very strongly that i should be adopted by college graduates, so everything was all set for me to be adopted at birth by a lawyer and his wife.\n",
      "except that when i popped out they decided at the last minute that they really wanted a girl.\n",
      "so my parents, who were on a waiting list, got a call in the middle of the night asking: we have an unexpected baby boy; do you want him?\n",
      "they said: of course.\n",
      "my biological mother later found out that my mother had never graduated from college and that my father had never graduated from high school.\n",
      "she refused to sign the final adoption papers.\n",
      "she only relented a few months later when my parents promised that i would someday go to college.and 17 years later i did go to college.\n",
      "but i naively chose a college that was almost as expensive as stanford, and all of my working-class parents  savings were being spent on my college tuition.\n",
      "after six months, i couldn t see the value in it.\n",
      "i had no idea what i wanted to do with my life and no idea how college was going to help me figure it out.\n",
      "and here i was spending all of the money my parents had saved their entire life.\n",
      "so i decided to drop out and trust that it would all work out ok. it was pretty scary at the time, but looking back it was one of the best decisions i ever made.\n",
      "the minute i dropped out i could stop taking the required classes that didn t interest me, and begin dropping in on the ones that looked interesting.it wasn t all romantic.\n",
      "i didn t have a dorm room, so i slept on the floor in friends  rooms, i returned coke bottles for the 5¢ deposits to buy food with, and i would walk the 7 miles across town every sunday night to get one good meal a week at the hare krishna temple.\n",
      "i loved it.\n",
      "and much of what i stumbled into by following my curiosity and intuition turned out to be priceless later on.\n",
      "let me give you one example:reed college at that time offered perhaps the best calligraphy instruction in the country.\n",
      "throughout the campus every poster, every label on every drawer, was beautifully hand calligraphed.\n",
      "because i had dropped out and didn t have to take the normal classes, i decided to take a calligraphy class to learn how to do this.\n",
      "i learned about serif and sans serif typefaces, about varying the amount of space between different letter combinations, about what makes great typography great.\n",
      "it was beautiful, historical, artistically subtle in a way that science can t capture, and i found it fascinating.none of this had even a hope of any practical application in my life.\n",
      "but 10 years later, when we were designing the first macintosh computer, it all came back to me.\n",
      "and we designed it all into the mac.\n",
      "it was the first computer with beautiful typography.\n",
      "if i had never dropped in on that single course in college, the mac would have never had multiple typefaces or proportionally spaced fonts.\n",
      "and since windows just copied the mac, it s likely that no personal computer would have them.\n",
      "if i had never dropped out, i would have never dropped in on this calligraphy class, and personal computers might not have the wonderful typography that they do.\n",
      "of course it was impossible to connect the dots looking forward when i was in college.\n",
      "but it was very, very clear looking backward 10 years later.again, you can t connect the dots looking forward; you can only connect them looking backward.\n",
      "so you have to trust that the dots will somehow connect in your future.\n",
      "you have to trust in something , your gut, destiny, life, karma, whatever.\n",
      "this approach has never let me down, and it has made all the difference in my life.my second story is about love and loss.i was lucky , i found what i loved to do early in life.\n",
      "woz and i started apple in my parents  garage when i was 20. we worked hard, and in 10 years apple had grown from just the two of us in a garage into a $2 billion company with over 4,000 employees.\n",
      "we had just released our finest creation , the macintosh , a year earlier, and i had just turned 30. and then i got fired.\n",
      "how can you get fired from a company you started?\n",
      "well, as apple grew we hired someone who i thought was very talented to run the company with me, and for the first year or so things went well.\n",
      "but then our visions of the future began to diverge and eventually we had a falling out.\n",
      "when we did, our board of directors sided with him.\n",
      "so at 30 i was out.\n",
      "and very publicly out.\n",
      "what had been the focus of my entire adult life was gone, and it was devastating.i really didn t know what to do for a few months.\n",
      "i felt that i had let the previous generation of entrepreneurs down , that i had dropped the baton as it was being passed to me.\n",
      "i met with david packard and bob noyce and tried to apologize for screwing up so badly.\n",
      "i was a very public failure, and i even thought about running away from the valley.\n",
      "but something slowly began to dawn on me , i still loved what i did.\n",
      "the turn of events at apple had not changed that one bit.\n",
      "i had been rejected, but i was still in love.\n",
      "and so i decided to start over.i didn t see it then, but it turned out that getting fired from apple was the best thing that could have ever happened to me.\n",
      "the heaviness of being successful was replaced by the lightness of being a beginner again, less sure about everything.\n",
      "it freed me to enter one of the most creative periods of my life.during the next five years, i started a company named next, another company named pixar, and fell in love with an amazing woman who would become my wife.\n",
      "pixar went on to create the world s first computer animated feature film, toy story, and is now the most successful animation studio in the world.\n",
      "in a remarkable turn of events, apple bought next, i returned to apple, and the technology we developed at next is at the heart of apple s current renaissance.\n",
      "and laurene and i have a wonderful family together.i m pretty sure none of this would have happened if i hadn t been fired from apple.\n",
      "it was awful tasting medicine, but i guess the patient needed it.\n",
      "sometimes life hits you in the head with a brick.\n",
      "don t lose faith.\n",
      "i m convinced that the only thing that kept me going was that i loved what i did.\n",
      "you ve got to find what you love.\n",
      "and that is as true for your work as it is for your lovers.\n",
      "your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work.\n",
      "and the only way to do great work is to love what you do.\n",
      "if you haven t found it yet, keep looking.\n",
      "don t settle.\n",
      "as with all matters of the heart, you ll know when you find it.\n",
      "and, like any great relationship, it just gets better and better as the years roll on.\n",
      "so keep looking until you find it.\n",
      "don t settle.my third story is about death.when i was 17, i read a quote that went something like: if you live each day as if it was your last, someday you ll most certainly be right.\n",
      "it made an impression on me, and since then, for the past 33 years, i have looked in the mirror every morning and asked myself: if today were the last day of my life, would i want to do what i am about to do today?\n",
      "and whenever the answer has been no for too many days in a row, i know i need to change something.remembering that i ll be dead soon is the most important tool i ve ever encountered to help me make the big choices in life.\n",
      "because almost everything , all external expectations, all pride, all fear of embarrassment or failure , these things just fall away in the face of death, leaving only what is truly important.\n",
      "remembering that you are going to die is the best way i know to avoid the trap of thinking you have something to lose.\n",
      "you are already naked.\n",
      "there is no reason not to follow your heart.about a year ago i was diagnosed with cancer.\n",
      "i had a scan at 7:30 in the morning, and it clearly showed a tumor on my pancreas.\n",
      "i didn t even know what a pancreas was.\n",
      "the doctors told me this was almost certainly a type of cancer that is incurable, and that i should expect to live no longer than three to six months.\n",
      "my doctor advised me to go home and get my affairs in order, which is doctor s code for prepare to die.\n",
      "it means to try to tell your kids everything you thought you d have the next 10 years to tell them in just a few months.\n",
      "it means to make sure everything is buttoned up so that it will be as easy as possible for your family.\n",
      "it means to say your goodbyes.i lived with that diagnosis all day.\n",
      "later that evening i had a biopsy, where they stuck an endoscope down my throat, through my stomach and into my intestines, put a needle into my pancreas and got a few cells from the tumor.\n",
      "i was sedated, but my wife, who was there, told me that when they viewed the cells under a microscope the doctors started crying because it turned out to be a very rare form of pancreatic cancer that is curable with surgery.\n",
      "i had the surgery and i m fine now.this was the closest i ve been to facing death, and i hope it s the closest i get for a few more decades.\n",
      "having lived through it, i can now say this to you with a bit more certainty than when death was a useful but purely intellectual concept:no one wants to die.\n",
      "even people who want to go to heaven don t want to die to get there.\n",
      "and yet death is the destination we all share.\n",
      "no one has ever escaped it.\n",
      "and that is as it should be, because death is very likely the single best invention of life.\n",
      "it is life s change agent.\n",
      "it clears out the old to make way for the new.\n",
      "right now the new is you, but someday not too long from now, you will gradually become the old and be cleared away.\n",
      "sorry to be so dramatic, but it is quite true.your time is limited, so don t waste it living someone else s life.\n",
      "don t be trapped by dogma , which is living with the results of other people s thinking.\n",
      "don t let the noise of others  opinions drown out your own inner voice.\n",
      "and most important, have the courage to follow your heart and intuition.\n",
      "they somehow already know what you truly want to become.\n",
      "everything else is secondary.when i was young, there was an amazing publication called the whole earth catalog, which was one of the bibles of my generation.\n",
      "it was created by a fellow named stewart brand not far from here in menlo park, and he brought it to life with his poetic touch.\n",
      "this was in the late 1960s, before personal computers and desktop publishing, so it was all made with typewriters, scissors and polaroid cameras.\n",
      "it was sort of like google in paperback form, 35 years before google came along: it was idealistic, and overflowing with neat tools and great notions.stewart and his team put out several issues of the whole earth catalog, and then when it had run its course, they put out a final issue.\n",
      "it was the mid-1970s, and i was your age.\n",
      "on the back cover of their final issue was a photograph of an early morning country road, the kind you might find yourself hitchhiking on if you were so adventurous.\n",
      "beneath it were the words: stay hungry.\n",
      "stay foolish.\n",
      "it was their farewell message as they signed off.\n",
      "stay hungry.\n",
      "stay foolish.\n",
      "and i have always wished that for myself.\n",
      "and now, as you graduate to begin anew, i wish that for you.stay hungry.\n",
      "stay foolish.thank you all very much.\n"
     ]
    }
   ],
   "source": [
    "# Dividir el texto en sentencias individuales utilizando NLTK\n",
    "# ==============================================================\n",
    "sentences = sent_tokenize(texto)\n",
    "\n",
    "for i in range(len(sentences)):\n",
    "    print(sentences[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "0c1c7321",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#Eliminamos la puntuación para que nos sea mas facil manipular el texto.\n",
    "# =======================================================================\n",
    "texto = texto.translate(str.maketrans('', '', string.punctuation))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "ffda9e8d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i\n",
      "am\n",
      "honored\n",
      "to\n",
      "be\n",
      "with\n",
      "you\n",
      "today\n",
      "at\n",
      "your\n",
      "commencement\n",
      "from\n",
      "one\n",
      "of\n",
      "the\n",
      "finest\n",
      "universities\n",
      "in\n",
      "the\n",
      "world\n"
     ]
    }
   ],
   "source": [
    "# Tokenización de palabras utilizando NLTK\n",
    "# ============================================\n",
    "tokens = word_tokenize(texto)\n",
    "\n",
    "for i in range(20):\n",
    "    print(tokens[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1cd77d0d",
   "metadata": {},
   "source": [
    "- Buscamos y removemos las stopwords, que son palabras recurrentes que pueden tener importancia en la comunicación humana pero tienen poca relevancia para la maquina."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "97161a16",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "honored\n",
      "today\n",
      "commencement\n",
      "one\n",
      "finest\n",
      "universities\n",
      "world\n",
      "never\n",
      "graduated\n",
      "college\n",
      "truth\n",
      "told\n",
      "closest\n",
      "ever\n",
      "gotten\n",
      "college\n",
      "graduation\n",
      "today\n",
      "want\n",
      "tell\n"
     ]
    }
   ],
   "source": [
    "# Obtener la lista de palabras de parada de NLTK\n",
    "stop_words = set(stopwords.words('english'))\n",
    "\n",
    "# Filtrar las palabras de parada\n",
    "filtered_text = [token for token in tokens if token not in stop_words]\n",
    "\n",
    "for i in range(20):\n",
    "    print(filtered_text[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "5e456f35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('life', 15),\n",
       " ('college', 13),\n",
       " ('one', 9),\n",
       " ('would', 9),\n",
       " ('years', 9),\n",
       " ('apple', 9),\n",
       " ('never', 8),\n",
       " ('dropped', 7),\n",
       " ('months', 7),\n",
       " ('looking', 7),\n",
       " ('want', 6),\n",
       " ('first', 6),\n",
       " ('everything', 6),\n",
       " ('later', 6),\n",
       " ('great', 6),\n",
       " ('know', 6),\n",
       " ('ever', 5),\n",
       " ('started', 5),\n",
       " ('decided', 5),\n",
       " ('parents', 5)]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Contamos la frequencia de cada palabra\n",
    "# ===========================================\n",
    "cnt_filtered = Counter()\n",
    "\n",
    "for word in filtered_text:\n",
    "    cnt_filtered[word] += 1\n",
    "        \n",
    "cnt_filtered.most_common(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d704d30b",
   "metadata": {},
   "source": [
    "- Se usa lemmatization para normalizar palabras en su representación mas simple y crear una lista para usos futuros"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "b9537420",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Token: honored, lemma: honored\n",
      "Token: today, lemma: today\n",
      "Token: commencement, lemma: commencement\n",
      "Token: one, lemma: one\n",
      "Token: finest, lemma: finest\n",
      "Token: universities, lemma: university\n",
      "Token: world, lemma: world\n",
      "Token: never, lemma: never\n",
      "Token: graduated, lemma: graduated\n",
      "Token: college, lemma: college\n",
      "Token: truth, lemma: truth\n",
      "Token: told, lemma: told\n",
      "Token: closest, lemma: closest\n",
      "Token: ever, lemma: ever\n",
      "Token: gotten, lemma: gotten\n",
      "Token: college, lemma: college\n",
      "Token: graduation, lemma: graduation\n",
      "Token: today, lemma: today\n",
      "Token: want, lemma: want\n",
      "Token: tell, lemma: tell\n"
     ]
    }
   ],
   "source": [
    "# Lematizador con NLTK\n",
    "# ======================================\n",
    "lemmatizer = WordNetLemmatizer()\n",
    "\n",
    "lemma_text = [lemmatizer.lemmatize(token) for token in filtered_text]\n",
    "\n",
    "# Comparar los lemas de las palabras filtradas\n",
    "lemmas = [\n",
    "        f\"Token: {token}, lemma: {lemmatizer.lemmatize(token)}\"\n",
    "        for token in filtered_text]\n",
    "\n",
    "for i in range(20):\n",
    "    print(lemmas[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "b082ccb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('life', 15),\n",
       " ('college', 13),\n",
       " ('year', 12),\n",
       " ('one', 10),\n",
       " ('would', 9),\n",
       " ('apple', 9),\n",
       " ('never', 8),\n",
       " ('want', 7),\n",
       " ('dropped', 7),\n",
       " ('month', 7),\n",
       " ('looking', 7),\n",
       " ('first', 6),\n",
       " ('everything', 6),\n",
       " ('later', 6),\n",
       " ('get', 6),\n",
       " ('great', 6),\n",
       " ('computer', 6),\n",
       " ('know', 6),\n",
       " ('ever', 5),\n",
       " ('story', 5)]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Contamos la frequencia de cada palabra\n",
    "# ===========================================\n",
    "cnt_lemmas = Counter()\n",
    "\n",
    "for word in lemma_text:\n",
    "    cnt_lemmas[word] += 1\n",
    "    \n",
    "cnt_lemmas.most_common(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f14fecc",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\" role=\"alert\">\n",
    "  <strong>Exercici 3:</strong> \n",
    "    <p> Realitza sentiment analysis al teu conjunt de dades.</p>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "fbfc9eb7",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sentence: i am honored to be with you today at your commencement from one of the finest universities in the world.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.826, 'pos': 0.174, 'compound': 0.5859}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  82.6 % Neutral\n",
      "sentence was rated as  17.4 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: i never graduated from college.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: truth be told, this is the closest i ve ever gotten to a college graduation.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.839, 'pos': 0.161, 'compound': 0.3182}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  83.9 % Neutral\n",
      "sentence was rated as  16.1 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: today i want to tell you three stories from my life.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.874, 'pos': 0.126, 'compound': 0.0772}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  87.4 % Neutral\n",
      "sentence was rated as  12.6 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: that s it.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: no big deal.\n",
      "Overall sentiment dictionary is :  {'neg': 0.524, 'neu': 0.476, 'pos': 0.0, 'compound': -0.296}\n",
      "sentence was rated as  52.4 % Negative\n",
      "sentence was rated as  47.6 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: just three stories.the first story is about connecting the dots.i dropped out of reed college after the first 6 months, but then stayed around as a drop-in for another 18 months or so before i really quit.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: so why did i drop out?it started before i was born.\n",
      "Overall sentiment dictionary is :  {'neg': 0.228, 'neu': 0.772, 'pos': 0.0, 'compound': -0.3321}\n",
      "sentence was rated as  22.8 % Negative\n",
      "sentence was rated as  77.2 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: my biological mother was a young, unwed college graduate student, and she decided to put me up for adoption.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: she felt very strongly that i should be adopted by college graduates, so everything was all set for me to be adopted at birth by a lawyer and his wife.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.919, 'pos': 0.081, 'compound': 0.3384}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  91.9 % Neutral\n",
      "sentence was rated as  8.1 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: except that when i popped out they decided at the last minute that they really wanted a girl.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: so my parents, who were on a waiting list, got a call in the middle of the night asking: we have an unexpected baby boy; do you want him?\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.952, 'pos': 0.048, 'compound': 0.0772}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  95.2 % Neutral\n",
      "sentence was rated as  4.8 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: they said: of course.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: my biological mother later found out that my mother had never graduated from college and that my father had never graduated from high school.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: she refused to sign the final adoption papers.\n",
      "Overall sentiment dictionary is :  {'neg': 0.239, 'neu': 0.761, 'pos': 0.0, 'compound': -0.296}\n",
      "sentence was rated as  23.9 % Negative\n",
      "sentence was rated as  76.1 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: she only relented a few months later when my parents promised that i would someday go to college.and 17 years later i did go to college.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.898, 'pos': 0.102, 'compound': 0.3612}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  89.8 % Neutral\n",
      "sentence was rated as  10.2 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: but i naively chose a college that was almost as expensive as stanford, and all of my working-class parents  savings were being spent on my college tuition.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: after six months, i couldn t see the value in it.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.769, 'pos': 0.231, 'compound': 0.34}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  76.9 % Neutral\n",
      "sentence was rated as  23.1 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: i had no idea what i wanted to do with my life and no idea how college was going to help me figure it out.\n",
      "Overall sentiment dictionary is :  {'neg': 0.162, 'neu': 0.738, 'pos': 0.1, 'compound': -0.1779}\n",
      "sentence was rated as  16.2 % Negative\n",
      "sentence was rated as  73.8 % Neutral\n",
      "sentence was rated as  10.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: and here i was spending all of the money my parents had saved their entire life.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.833, 'pos': 0.167, 'compound': 0.4215}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  83.3 % Neutral\n",
      "sentence was rated as  16.7 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: so i decided to drop out and trust that it would all work out ok. it was pretty scary at the time, but looking back it was one of the best decisions i ever made.\n",
      "Overall sentiment dictionary is :  {'neg': 0.089, 'neu': 0.636, 'pos': 0.275, 'compound': 0.8346}\n",
      "sentence was rated as  8.9 % Negative\n",
      "sentence was rated as  63.6 % Neutral\n",
      "sentence was rated as  27.5 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: the minute i dropped out i could stop taking the required classes that didn t interest me, and begin dropping in on the ones that looked interesting.it wasn t all romantic.\n",
      "Overall sentiment dictionary is :  {'neg': 0.069, 'neu': 0.752, 'pos': 0.179, 'compound': 0.5423}\n",
      "sentence was rated as  6.9 % Negative\n",
      "sentence was rated as  75.2 % Neutral\n",
      "sentence was rated as  17.9 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: i didn t have a dorm room, so i slept on the floor in friends  rooms, i returned coke bottles for the 5¢ deposits to buy food with, and i would walk the 7 miles across town every sunday night to get one good meal a week at the hare krishna temple.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.875, 'pos': 0.125, 'compound': 0.7184}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  87.5 % Neutral\n",
      "sentence was rated as  12.5 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: i loved it.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.204, 'pos': 0.796, 'compound': 0.5994}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  20.4 % Neutral\n",
      "sentence was rated as  79.6 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: and much of what i stumbled into by following my curiosity and intuition turned out to be priceless later on.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: let me give you one example:reed college at that time offered perhaps the best calligraphy instruction in the country.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.811, 'pos': 0.189, 'compound': 0.6369}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  81.1 % Neutral\n",
      "sentence was rated as  18.9 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: throughout the campus every poster, every label on every drawer, was beautifully hand calligraphed.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.635, 'pos': 0.365, 'compound': 0.7845}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  63.5 % Neutral\n",
      "sentence was rated as  36.5 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: because i had dropped out and didn t have to take the normal classes, i decided to take a calligraphy class to learn how to do this.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: i learned about serif and sans serif typefaces, about varying the amount of space between different letter combinations, about what makes great typography great.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.719, 'pos': 0.281, 'compound': 0.8481}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  71.9 % Neutral\n",
      "sentence was rated as  28.1 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: it was beautiful, historical, artistically subtle in a way that science can t capture, and i found it fascinating.none of this had even a hope of any practical application in my life.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.793, 'pos': 0.207, 'compound': 0.7783}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  79.3 % Neutral\n",
      "sentence was rated as  20.7 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: but 10 years later, when we were designing the first macintosh computer, it all came back to me.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: and we designed it all into the mac.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: it was the first computer with beautiful typography.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.642, 'pos': 0.358, 'compound': 0.5994}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  64.2 % Neutral\n",
      "sentence was rated as  35.8 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: if i had never dropped in on that single course in college, the mac would have never had multiple typefaces or proportionally spaced fonts.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: and since windows just copied the mac, it s likely that no personal computer would have them.\n",
      "Overall sentiment dictionary is :  {'neg': 0.128, 'neu': 0.872, 'pos': 0.0, 'compound': -0.296}\n",
      "sentence was rated as  12.8 % Negative\n",
      "sentence was rated as  87.2 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: if i had never dropped out, i would have never dropped in on this calligraphy class, and personal computers might not have the wonderful typography that they do.\n",
      "Overall sentiment dictionary is :  {'neg': 0.107, 'neu': 0.893, 'pos': 0.0, 'compound': -0.4585}\n",
      "sentence was rated as  10.7 % Negative\n",
      "sentence was rated as  89.3 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: of course it was impossible to connect the dots looking forward when i was in college.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: but it was very, very clear looking backward 10 years later.again, you can t connect the dots looking forward; you can only connect them looking backward.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.849, 'pos': 0.151, 'compound': 0.6436}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  84.9 % Neutral\n",
      "sentence was rated as  15.1 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: so you have to trust that the dots will somehow connect in your future.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.798, 'pos': 0.202, 'compound': 0.5106}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  79.8 % Neutral\n",
      "sentence was rated as  20.2 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: you have to trust in something , your gut, destiny, life, karma, whatever.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.769, 'pos': 0.231, 'compound': 0.5106}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  76.9 % Neutral\n",
      "sentence was rated as  23.1 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: this approach has never let me down, and it has made all the difference in my life.my second story is about love and loss.i was lucky , i found what i loved to do early in life.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.74, 'pos': 0.26, 'compound': 0.8979}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  74.0 % Neutral\n",
      "sentence was rated as  26.0 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: woz and i started apple in my parents  garage when i was 20. we worked hard, and in 10 years apple had grown from just the two of us in a garage into a $2 billion company with over 4,000 employees.\n",
      "Overall sentiment dictionary is :  {'neg': 0.037, 'neu': 0.963, 'pos': 0.0, 'compound': -0.1027}\n",
      "sentence was rated as  3.7 % Negative\n",
      "sentence was rated as  96.3 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: we had just released our finest creation , the macintosh , a year earlier, and i had just turned 30. and then i got fired.\n",
      "Overall sentiment dictionary is :  {'neg': 0.152, 'neu': 0.759, 'pos': 0.089, 'compound': -0.3612}\n",
      "sentence was rated as  15.2 % Negative\n",
      "sentence was rated as  75.9 % Neutral\n",
      "sentence was rated as  8.9 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: how can you get fired from a company you started?\n",
      "Overall sentiment dictionary is :  {'neg': 0.31, 'neu': 0.69, 'pos': 0.0, 'compound': -0.5574}\n",
      "sentence was rated as  31.0 % Negative\n",
      "sentence was rated as  69.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: well, as apple grew we hired someone who i thought was very talented to run the company with me, and for the first year or so things went well.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.762, 'pos': 0.238, 'compound': 0.7778}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  76.2 % Neutral\n",
      "sentence was rated as  23.8 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: but then our visions of the future began to diverge and eventually we had a falling out.\n",
      "Overall sentiment dictionary is :  {'neg': 0.104, 'neu': 0.767, 'pos': 0.129, 'compound': 0.1154}\n",
      "sentence was rated as  10.4 % Negative\n",
      "sentence was rated as  76.7 % Neutral\n",
      "sentence was rated as  12.9 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: when we did, our board of directors sided with him.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: so at 30 i was out.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: and very publicly out.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: what had been the focus of my entire adult life was gone, and it was devastating.i really didn t know what to do for a few months.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: i felt that i had let the previous generation of entrepreneurs down , that i had dropped the baton as it was being passed to me.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: i met with david packard and bob noyce and tried to apologize for screwing up so badly.\n",
      "Overall sentiment dictionary is :  {'neg': 0.269, 'neu': 0.66, 'pos': 0.071, 'compound': -0.5984}\n",
      "sentence was rated as  26.9 % Negative\n",
      "sentence was rated as  66.0 % Neutral\n",
      "sentence was rated as  7.1 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: i was a very public failure, and i even thought about running away from the valley.\n",
      "Overall sentiment dictionary is :  {'neg': 0.23, 'neu': 0.77, 'pos': 0.0, 'compound': -0.5542}\n",
      "sentence was rated as  23.0 % Negative\n",
      "sentence was rated as  77.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: but something slowly began to dawn on me , i still loved what i did.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.673, 'pos': 0.327, 'compound': 0.7469}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  67.3 % Neutral\n",
      "sentence was rated as  32.7 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: the turn of events at apple had not changed that one bit.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: i had been rejected, but i was still in love.\n",
      "Overall sentiment dictionary is :  {'neg': 0.154, 'neu': 0.43, 'pos': 0.416, 'compound': 0.6858}\n",
      "sentence was rated as  15.4 % Negative\n",
      "sentence was rated as  43.0 % Neutral\n",
      "sentence was rated as  41.6 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: and so i decided to start over.i didn t see it then, but it turned out that getting fired from apple was the best thing that could have ever happened to me.\n",
      "Overall sentiment dictionary is :  {'neg': 0.127, 'neu': 0.724, 'pos': 0.15, 'compound': 0.2263}\n",
      "sentence was rated as  12.7 % Negative\n",
      "sentence was rated as  72.4 % Neutral\n",
      "sentence was rated as  15.0 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: the heaviness of being successful was replaced by the lightness of being a beginner again, less sure about everything.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.734, 'pos': 0.266, 'compound': 0.701}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  73.4 % Neutral\n",
      "sentence was rated as  26.6 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: it freed me to enter one of the most creative periods of my life.during the next five years, i started a company named next, another company named pixar, and fell in love with an amazing woman who would become my wife.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.716, 'pos': 0.284, 'compound': 0.9312}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  71.6 % Neutral\n",
      "sentence was rated as  28.4 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: pixar went on to create the world s first computer animated feature film, toy story, and is now the most successful animation studio in the world.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.788, 'pos': 0.212, 'compound': 0.7346}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  78.8 % Neutral\n",
      "sentence was rated as  21.2 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: in a remarkable turn of events, apple bought next, i returned to apple, and the technology we developed at next is at the heart of apple s current renaissance.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.874, 'pos': 0.126, 'compound': 0.5574}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  87.4 % Neutral\n",
      "sentence was rated as  12.6 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: and laurene and i have a wonderful family together.i m pretty sure none of this would have happened if i hadn t been fired from apple.\n",
      "Overall sentiment dictionary is :  {'neg': 0.121, 'neu': 0.57, 'pos': 0.309, 'compound': 0.6808}\n",
      "sentence was rated as  12.1 % Negative\n",
      "sentence was rated as  57.0 % Neutral\n",
      "sentence was rated as  30.9 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: it was awful tasting medicine, but i guess the patient needed it.\n",
      "Overall sentiment dictionary is :  {'neg': 0.167, 'neu': 0.833, 'pos': 0.0, 'compound': -0.25}\n",
      "sentence was rated as  16.7 % Negative\n",
      "sentence was rated as  83.3 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: sometimes life hits you in the head with a brick.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: don t lose faith.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall sentiment dictionary is :  {'neg': 0.415, 'neu': 0.154, 'pos': 0.431, 'compound': 0.0258}\n",
      "sentence was rated as  41.5 % Negative\n",
      "sentence was rated as  15.4 % Neutral\n",
      "sentence was rated as  43.1 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: i m convinced that the only thing that kept me going was that i loved what i did.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.645, 'pos': 0.355, 'compound': 0.765}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  64.5 % Neutral\n",
      "sentence was rated as  35.5 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: you ve got to find what you love.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.625, 'pos': 0.375, 'compound': 0.6369}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  62.5 % Neutral\n",
      "sentence was rated as  37.5 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: and that is as true for your work as it is for your lovers.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.659, 'pos': 0.341, 'compound': 0.7351}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  65.9 % Neutral\n",
      "sentence was rated as  34.1 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.718, 'pos': 0.282, 'compound': 0.8689}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  71.8 % Neutral\n",
      "sentence was rated as  28.2 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: and the only way to do great work is to love what you do.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.591, 'pos': 0.409, 'compound': 0.8519}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  59.1 % Neutral\n",
      "sentence was rated as  40.9 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: if you haven t found it yet, keep looking.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: don t settle.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: as with all matters of the heart, you ll know when you find it.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.922, 'pos': 0.078, 'compound': 0.0258}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  92.2 % Neutral\n",
      "sentence was rated as  7.8 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: and, like any great relationship, it just gets better and better as the years roll on.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.492, 'pos': 0.508, 'compound': 0.9081}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  49.2 % Neutral\n",
      "sentence was rated as  50.8 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: so keep looking until you find it.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: don t settle.my third story is about death.when i was 17, i read a quote that went something like: if you live each day as if it was your last, someday you ll most certainly be right.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.857, 'pos': 0.143, 'compound': 0.6361}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  85.7 % Neutral\n",
      "sentence was rated as  14.3 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: it made an impression on me, and since then, for the past 33 years, i have looked in the mirror every morning and asked myself: if today were the last day of my life, would i want to do what i am about to do today?\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.928, 'pos': 0.072, 'compound': 0.296}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  92.8 % Neutral\n",
      "sentence was rated as  7.2 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: and whenever the answer has been no for too many days in a row, i know i need to change something.remembering that i ll be dead soon is the most important tool i ve ever encountered to help me make the big choices in life.\n",
      "Overall sentiment dictionary is :  {'neg': 0.137, 'neu': 0.761, 'pos': 0.101, 'compound': -0.4033}\n",
      "sentence was rated as  13.7 % Negative\n",
      "sentence was rated as  76.1 % Neutral\n",
      "sentence was rated as  10.1 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: because almost everything , all external expectations, all pride, all fear of embarrassment or failure , these things just fall away in the face of death, leaving only what is truly important.\n",
      "Overall sentiment dictionary is :  {'neg': 0.306, 'neu': 0.53, 'pos': 0.164, 'compound': -0.802}\n",
      "sentence was rated as  30.6 % Negative\n",
      "sentence was rated as  53.0 % Neutral\n",
      "sentence was rated as  16.4 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: remembering that you are going to die is the best way i know to avoid the trap of thinking you have something to lose.\n",
      "Overall sentiment dictionary is :  {'neg': 0.333, 'neu': 0.541, 'pos': 0.126, 'compound': -0.7096}\n",
      "sentence was rated as  33.3 % Negative\n",
      "sentence was rated as  54.1 % Neutral\n",
      "sentence was rated as  12.6 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: you are already naked.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: there is no reason not to follow your heart.about a year ago i was diagnosed with cancer.\n",
      "Overall sentiment dictionary is :  {'neg': 0.337, 'neu': 0.663, 'pos': 0.0, 'compound': -0.765}\n",
      "sentence was rated as  33.7 % Negative\n",
      "sentence was rated as  66.3 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: i had a scan at 7:30 in the morning, and it clearly showed a tumor on my pancreas.\n",
      "Overall sentiment dictionary is :  {'neg': 0.142, 'neu': 0.71, 'pos': 0.148, 'compound': 0.0258}\n",
      "sentence was rated as  14.2 % Negative\n",
      "sentence was rated as  71.0 % Neutral\n",
      "sentence was rated as  14.8 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: i didn t even know what a pancreas was.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: the doctors told me this was almost certainly a type of cancer that is incurable, and that i should expect to live no longer than three to six months.\n",
      "Overall sentiment dictionary is :  {'neg': 0.202, 'neu': 0.734, 'pos': 0.064, 'compound': -0.6697}\n",
      "sentence was rated as  20.2 % Negative\n",
      "sentence was rated as  73.4 % Neutral\n",
      "sentence was rated as  6.4 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: my doctor advised me to go home and get my affairs in order, which is doctor s code for prepare to die.\n",
      "Overall sentiment dictionary is :  {'neg': 0.163, 'neu': 0.837, 'pos': 0.0, 'compound': -0.5994}\n",
      "sentence was rated as  16.3 % Negative\n",
      "sentence was rated as  83.7 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: it means to try to tell your kids everything you thought you d have the next 10 years to tell them in just a few months.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: it means to make sure everything is buttoned up so that it will be as easy as possible for your family.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.785, 'pos': 0.215, 'compound': 0.6369}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  78.5 % Neutral\n",
      "sentence was rated as  21.5 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: it means to say your goodbyes.i lived with that diagnosis all day.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: later that evening i had a biopsy, where they stuck an endoscope down my throat, through my stomach and into my intestines, put a needle into my pancreas and got a few cells from the tumor.\n",
      "Overall sentiment dictionary is :  {'neg': 0.133, 'neu': 0.867, 'pos': 0.0, 'compound': -0.5574}\n",
      "sentence was rated as  13.3 % Negative\n",
      "sentence was rated as  86.7 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: i was sedated, but my wife, who was there, told me that when they viewed the cells under a microscope the doctors started crying because it turned out to be a very rare form of pancreatic cancer that is curable with surgery.\n",
      "Overall sentiment dictionary is :  {'neg': 0.217, 'neu': 0.783, 'pos': 0.0, 'compound': -0.9052}\n",
      "sentence was rated as  21.7 % Negative\n",
      "sentence was rated as  78.3 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: i had the surgery and i m fine now.this was the closest i ve been to facing death, and i hope it s the closest i get for a few more decades.\n",
      "Overall sentiment dictionary is :  {'neg': 0.132, 'neu': 0.709, 'pos': 0.159, 'compound': -0.0516}\n",
      "sentence was rated as  13.2 % Negative\n",
      "sentence was rated as  70.9 % Neutral\n",
      "sentence was rated as  15.9 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: having lived through it, i can now say this to you with a bit more certainty than when death was a useful but purely intellectual concept:no one wants to die.\n",
      "Overall sentiment dictionary is :  {'neg': 0.204, 'neu': 0.575, 'pos': 0.222, 'compound': -0.0808}\n",
      "sentence was rated as  20.4 % Negative\n",
      "sentence was rated as  57.5 % Neutral\n",
      "sentence was rated as  22.2 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: even people who want to go to heaven don t want to die to get there.\n",
      "Overall sentiment dictionary is :  {'neg': 0.188, 'neu': 0.529, 'pos': 0.284, 'compound': -0.0}\n",
      "sentence was rated as  18.8 % Negative\n",
      "sentence was rated as  52.9 % Neutral\n",
      "sentence was rated as  28.4 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: and yet death is the destination we all share.\n",
      "Overall sentiment dictionary is :  {'neg': 0.298, 'neu': 0.534, 'pos': 0.168, 'compound': -0.4019}\n",
      "sentence was rated as  29.8 % Negative\n",
      "sentence was rated as  53.4 % Neutral\n",
      "sentence was rated as  16.8 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: no one has ever escaped it.\n",
      "Overall sentiment dictionary is :  {'neg': 0.306, 'neu': 0.694, 'pos': 0.0, 'compound': -0.296}\n",
      "sentence was rated as  30.6 % Negative\n",
      "sentence was rated as  69.4 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: and that is as it should be, because death is very likely the single best invention of life.\n",
      "Overall sentiment dictionary is :  {'neg': 0.162, 'neu': 0.664, 'pos': 0.174, 'compound': 0.0772}\n",
      "sentence was rated as  16.2 % Negative\n",
      "sentence was rated as  66.4 % Neutral\n",
      "sentence was rated as  17.4 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: it is life s change agent.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: it clears out the old to make way for the new.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.885, 'pos': 0.115, 'compound': 0.0772}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  88.5 % Neutral\n",
      "sentence was rated as  11.5 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: right now the new is you, but someday not too long from now, you will gradually become the old and be cleared away.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.932, 'pos': 0.068, 'compound': 0.1531}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  93.2 % Neutral\n",
      "sentence was rated as  6.8 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: sorry to be so dramatic, but it is quite true.your time is limited, so don t waste it living someone else s life.\n",
      "Overall sentiment dictionary is :  {'neg': 0.297, 'neu': 0.703, 'pos': 0.0, 'compound': -0.7662}\n",
      "sentence was rated as  29.7 % Negative\n",
      "sentence was rated as  70.3 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: don t be trapped by dogma , which is living with the results of other people s thinking.\n",
      "Overall sentiment dictionary is :  {'neg': 0.195, 'neu': 0.805, 'pos': 0.0, 'compound': -0.5267}\n",
      "sentence was rated as  19.5 % Negative\n",
      "sentence was rated as  80.5 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: don t let the noise of others  opinions drown out your own inner voice.\n",
      "Overall sentiment dictionary is :  {'neg': 0.236, 'neu': 0.764, 'pos': 0.0, 'compound': -0.5719}\n",
      "sentence was rated as  23.6 % Negative\n",
      "sentence was rated as  76.4 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: and most important, have the courage to follow your heart and intuition.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.654, 'pos': 0.346, 'compound': 0.6478}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  65.4 % Neutral\n",
      "sentence was rated as  34.6 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: they somehow already know what you truly want to become.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.656, 'pos': 0.344, 'compound': 0.4939}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  65.6 % Neutral\n",
      "sentence was rated as  34.4 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: everything else is secondary.when i was young, there was an amazing publication called the whole earth catalog, which was one of the bibles of my generation.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.863, 'pos': 0.137, 'compound': 0.5859}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  86.3 % Neutral\n",
      "sentence was rated as  13.7 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: it was created by a fellow named stewart brand not far from here in menlo park, and he brought it to life with his poetic touch.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.923, 'pos': 0.077, 'compound': 0.25}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  92.3 % Neutral\n",
      "sentence was rated as  7.7 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: this was in the late 1960s, before personal computers and desktop publishing, so it was all made with typewriters, scissors and polaroid cameras.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: it was sort of like google in paperback form, 35 years before google came along: it was idealistic, and overflowing with neat tools and great notions.stewart and his team put out several issues of the whole earth catalog, and then when it had run its course, they put out a final issue.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.795, 'pos': 0.205, 'compound': 0.9023}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  79.5 % Neutral\n",
      "sentence was rated as  20.5 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: it was the mid-1970s, and i was your age.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: on the back cover of their final issue was a photograph of an early morning country road, the kind you might find yourself hitchhiking on if you were so adventurous.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.806, 'pos': 0.194, 'compound': 0.7591}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  80.6 % Neutral\n",
      "sentence was rated as  19.4 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: beneath it were the words: stay hungry.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: stay foolish.\n",
      "Overall sentiment dictionary is :  {'neg': 0.677, 'neu': 0.323, 'pos': 0.0, 'compound': -0.2732}\n",
      "sentence was rated as  67.7 % Negative\n",
      "sentence was rated as  32.3 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: it was their farewell message as they signed off.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: stay hungry.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: stay foolish.\n",
      "Overall sentiment dictionary is :  {'neg': 0.677, 'neu': 0.323, 'pos': 0.0, 'compound': -0.2732}\n",
      "sentence was rated as  67.7 % Negative\n",
      "sentence was rated as  32.3 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Negative\n",
      "\n",
      "Sentence: and i have always wished that for myself.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Sentence: and now, as you graduate to begin anew, i wish that for you.stay hungry.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 0.816, 'pos': 0.184, 'compound': 0.4019}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  81.6 % Neutral\n",
      "sentence was rated as  18.4 % Positive\n",
      "Sentence Overall Rated As Positive\n",
      "\n",
      "Sentence: stay foolish.thank you all very much.\n",
      "Overall sentiment dictionary is :  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}\n",
      "sentence was rated as  0.0 % Negative\n",
      "sentence was rated as  100.0 % Neutral\n",
      "sentence was rated as  0.0 % Positive\n",
      "Sentence Overall Rated As Neutral\n",
      "\n",
      "Positive Count: 42.02 %\n",
      "Negative Count: 24.37 %\n",
      "Neutral Count: 33.61 %\n",
      "Final Overall Text Rating:\n",
      "Overall Text Rated As Positive\n"
     ]
    }
   ],
   "source": [
    "# Analizamos las sentences para visualizar el rating de cada sentence y finalmente el total rating de las mismas\n",
    "# ========================================================================================================================\n",
    "\n",
    "ratings = []\n",
    "\n",
    "def sentiment_scores(sentence):\n",
    "     \n",
    "    # Create a SentimentIntensityAnalyzer object.\n",
    "    analyzer = SentimentIntensityAnalyzer()\n",
    " \n",
    "    # polarity_scores method of SentimentIntensityAnalyzer\n",
    "    # object gives a sentiment dictionary.\n",
    "    # which contains pos, neg, neu, and compound scores.\n",
    "    sentiment_dict = analyzer.polarity_scores(sentence)\n",
    "     \n",
    "    print(\"Overall sentiment dictionary is : \", sentiment_dict)\n",
    "    print(\"sentence was rated as \", round(sentiment_dict['neg']*100,2), \"% Negative\")\n",
    "    print(\"sentence was rated as \", round(sentiment_dict['neu']*100,2), \"% Neutral\")\n",
    "    print(\"sentence was rated as \", round(sentiment_dict['pos']*100,2), \"% Positive\")\n",
    " \n",
    "    print(\"Sentence Overall Rated As\", end = \" \")\n",
    "    # decide sentiment as positive, negative and neutral\n",
    "    if sentiment_dict['compound'] >= 0.05 :\n",
    "        print(\"Positive\")\n",
    "        ratings.append(\"Positive\")\n",
    "    elif sentiment_dict['compound'] <= - 0.05 :\n",
    "        print(\"Negative\")\n",
    "        ratings.append(\"Negative\")\n",
    "    else :\n",
    "        print(\"Neutral\")\n",
    "        ratings.append(\"Neutral\")\n",
    "\n",
    "for sentence in sentences:\n",
    "    print(f\"Sentence: {sentence}\")\n",
    "    sentiment_scores(sentence)\n",
    "    print()\n",
    "    \n",
    "positive_count = ratings.count(\"Positive\")\n",
    "negative_count = ratings.count(\"Negative\")\n",
    "neutral_count = ratings.count(\"Neutral\")\n",
    "total_sentences = len(sentences)\n",
    "\n",
    "positive_percentage = round((positive_count / total_sentences) * 100, 2)\n",
    "negative_percentage = round((negative_count / total_sentences) * 100,2)\n",
    "neutral_percentage = round((neutral_count / total_sentences) * 100,2)\n",
    "\n",
    "print(f\"Positive Count: {positive_percentage} %\")\n",
    "print(f\"Negative Count: {negative_percentage} %\")\n",
    "print(f\"Neutral Count: {neutral_percentage} %\")\n",
    "\n",
    "print(\"Final Overall Text Rating:\")\n",
    "if positive_percentage > negative_percentage and positive_percentage > neutral_percentage:\n",
    "    print(\"Overall Text Rated As Positive\")\n",
    "elif negative_percentage > positive_percentage and negative_percentage > neutral_percentage:\n",
    "    print(\"Overall Text Rated As Negative\")\n",
    "else:\n",
    "    print(\"Overall Text Rated As Neutral\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "1d3bf37b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3taje1rZmzRp99tlnGj9+vL7++usGEzO5XC499thjLTpO/WOZN2+eJk2adEQ11R8rPz+/0SRFTqdTRUVFDT7M1+8/YsQI9yhwa2jq9ytJDz74oKqrq92zW+/v4Ycf1rx581qthkMRFxcnqe55a0pz2w8mPz9f/fv3b7S9/jVT//y39mvpYE444QTNnz9ftbW1Wrt2rb755hvNnj1bl156qZKTkzVu3Dj3fZ1//vn69NNPD/k+WoMnajiU953m1E/sdsUVVzSadTkvL6/JgJ6YmKinn35aTz/9tNLT07VkyRK9/PLLmjVrlkpLS90zuwMAfB9LCAE+pL61r6llVRwOh5YtWyZJOvroo1t0vOOPP15S3ejswUaR6/ddunRpS8s9LPXtjk2N8Kanp0uSzj333EYzD69evbrJZUOa0pqPpf65XrJkSaPrli5dKofD0WBbTEyMBg0apN9++63JJY9aW3p6upKSkppc5qapmqW638GhjrAfqvq/5fq/2f25XC6tWLHisI7b1GPKyMhQTk6OevTo4Q5Yrf1aaqnw8HCNHj1a999/v2bNmiXDMDR37lxJdSO7CQkJWrVqVaNlhVrTgV5jnqghOjpagwcPVn5+vtavX39Yx6h/L5g8eXKj65r7u95fnz59dPXVV2vJkiWKiYnRZ599dlh1AAC8EyEX8CHnnXeekpKS9P7777vPp633zDPPKCMjQ6eddpq6devWouONHDlSo0eP1rp16/TEE080ur6oqMh9/uaoUaN08skn69NPP9Xrr7/e5PE2bdqkvXv3HuKjaqi+vTcnJ6fRdfXr5f4xmOzdu1c33HBDi+/j3HPPVe/evfX888/rq6++anKflStXqqqq6qDHql8/dubMmQ1Ca01Nje68884mb3PrrbfKZrPpqquucrdu7q+kpKTVRnl79Oih4uJibdy4scH21157Td9++22Tt2nXrp0KCgoanbvbmurPSV20aJG+/vrrBte98sorh3U+rlTXaZCdne2+7HK59K9//Usul8u9PqzU+q+lA1m6dGmTbc/1o9X1yxqFhIRo+vTpysvL00033dTklzZ5eXnavHnzEdVzoNeYp2qo7wa5/vrrG61h7HQ63SPpzal/L1i0aFGD7RkZGbr99tsb7Z+ZmdloXW6p7rVWW1vbYGkpAIDvo10Z8CExMTF6/fXXddFFF2nMmDG66KKL1K1bN61du1bfffedOnbsqJdffvmQjvnOO+/o1FNP1W233ab//e9/GjNmjAzDUFpamr777jtt3brV/YHyvffe07hx43T11Vdr1qxZOu6445SQkKBdu3Zp48aN+vXXX7Vy5Up16NDhsB/j+PHj9fjjj+tvf/ubJk+erJiYGCUkJOjGG2/UMcccoxNPPFGffvqpRo8erZNOOkn5+fn6+uuv1b9/f3Xu3LlF9xEaGqpPP/1UEyZM0Nlnn63Ro0dr+PDhioqKUk5Ojn7++WdlZGQoLy9PUVFRBzzWiSeeqOnTp2v27NkaPHiwLrzwQvc6uYmJie5zO/d31VVXae3atXrhhRfUu3dvTZgwQd26dVNxcbEyMzP1448/6sorr9RLL710WM/h/m655RZ9++23Oumkk3TxxRcrPj5ea9as0bJly3ThhRfq448/bnSb8ePH6+eff9ZZZ52lk08+WWFhYRo2bJjOOeecI66nXlBQkF599VWdeeaZmjRpknud3I0bN+r777/XWWedpa+//vqgE6L90UknnaThw4drypQpio+P17fffqsNGzZo5MiR7vMwpbZ5LTXnySef1HfffadTTz1VvXr1UkxMjH777Td9/fXXSkhIaLC29N13360NGzbopZde0hdffKFx48YpNTVVe/fuVVpampYvX66ZM2dq4MCBh13PCSecoKioKD3zzDMqKipyn8c8ffp0xcfHe6SGv/71r1q2bJneeust9enTR+eee66Sk5O1e/duLVq0SFdddVWTk8LVO+ecc9SnTx89/fTT+vXXXzVixAjt3LlT8+fP19lnn62dO3c22H/Dhg06//zzNXLkSA0ePFidO3dWQUGB5s2bJ7vd3mQwBgD4MDOndgZQR82sk9uc1atXG+edd57Rvn17IzQ01Ojatatx3XXXGbt37260b0uW5CksLDRuu+02o1+/fkZ4eLgRHx9vDBs2zLjrrrsMq9XaYN/y8nJj5syZxtFHH21ER0cbERERRo8ePYyJEycaL7/8slFZWene92BLf6iJpWgMwzCefPJJ46ijjjLCwsIaLcFTVFRkXH/99Ub37t2N8PBwo1evXsadd95pWK3WJpe+OVAN+fn5xu23324MGjTIiIyMNKKjo40+ffoYkydPNt5++23Dbrc3+5ztz+VyGbNnz3bX3KlTJ+P//u//jNLS0gMux/PFF18YZ599tpGcnGyEhoYaKSkpxjHHHGP8+9//NrZs2dKi+27J7/eLL74wjjvuOCMmJsaIj483Tj/9dGPJkiXNPjeVlZXGddddZ6SmphrBwcGGJOOKK65wX9/U761+CaGmlvypX2Jm/2PUW7VqlXHaaacZMTExRkxMjDF+/HhjxYoVxg033GBIMtavX39Iz8OOHTuMJ554wujfv78RHh5udO7c2bj55puNsrKyJm/X2q+lpnz77bfGtGnTjAEDBhhxcXFGVFSU0a9fP2P69OkNliiq53K5jLfeessYN26ckZiYaISGhhqdO3c2TjzxRGPmzJnGzp073fse6Lk1jLq1rZt6b/n666+N448/3oiOjna//+z/uDxRg2EYxjvvvGOccsopRlxcnBEeHm706NHDmDp1qrF27Vr3Ps39ne7cudOYOnWq0blzZyMiIsIYOHCg8eijjxp2u73R32hOTo5x5513GqNHjzZSUlKMsLAwIzU11TjzzDMbrdMMAPB9FsM4yIl4AODDXnrpJV1//fV67733dOmll5pdDlroxBNP1E8//aSysrIWzXo7bdo0vfnmm8rMzHR3HgAAgMDEObkA/Nq2bdsk/b5WK7xHVVVVk+ckz5kzRytWrNCZZ57Jsi4AAOCQcU4uAL80d+5cffnll3r77bfVpUsXHXfccWaXhD/YuXOnRowYodNPP119+vSRw+HQL7/8omXLlikxMVFPPvmk2SUCAAAfRMgF4Jfmzp2rzz//XGPGjNGzzz7baMkhmC8lJUWXX365li5dqiVLlqi6ulodO3bUVVddpX//+9+N1h0GAABoCc7JBQAAAAD4Dc7JBQAAAAD4DUIuAAAAAMBvEHIBAAAAAH6DkAsAAAAA8BuEXAAAAACA3yDkAgAAAAD8BiEXAAAAAOA3CLkAAAAAAL9ByAUAAAAA+A1CLgAAAADAb4SYXQAAAAAAeEp1dbXy8/NlGIYMwzC7HLSAxWKRxWJRSkqKIiMjD76/wW8WAAAAQACorq7W7t27FRsbq6Agmlp9icvlUkVFhVJTUw8adPnNAgAAAAgI+fn5BFwfFRQUpNjYWOXn5x98Xw/UAwAAAACmMwyDgOvDgoKCWtRizm8YAAAAQEDgTE3fR8gFAAAAAAQUZlcGAAAAELASEhJMaWF2uVwqLS31+P3ub+fOnRo1apQWLFigIUOGNLvfeeedp8GDB+vBBx/0YHWHj5ALAAAAIGAFBQUpODjY7DIOaPr06frwww8lSSEhIercubPOPvts3XbbbYqOjj7s46ampmrTpk1q166dJGn58uU6//zzlZaWpvj4ePd+b7zxhkJDQ4/sQXgQIRcAAABAwHO6DO2tqGnz++kQG6HgIMsh327cuHF69tln5XA4tGrVKt16662qqqrS448/fti1BAcHKyUl5aD7JSYmHvZ9mIGQCwAAACDg7a2o0QkPL2zz+1l55zh1ij/wOq9NCQsLcwfSyZMna/ny5fr666/14IMP6r777tPcuXNVUVGhYcOG6YEHHtCIESMkSaWlpbrjjju0ZMkSWa1WderUSbfccosuvfTSBu3K8fHxOv/88yVJffv2lSRNmTJFs2fPbtCu/OCDD7rve39jxozRxIkTdfvtt8vlcumpp57S22+/raKiIvXt21d33323xo0bdyRPXYsx8RQAAAAA+JiIiAg5HA7df//9mj9/vmbPnq0ffvhBPXv21JQpU1RSUiJJeuSRR7R9+3a9//77WrZsmR577DElJSU1Ol5qaqpef/11SdLKlSu1adMmzZw5s9F+kydP1tq1a5WZmenetnXrVm3ZskUXXnihJOmVV17Riy++qHvvvVeLFy/W2LFjdfnllysjI6MtnopGCLkAAAAA4EPWrVunTz/9VCeeeKLmzJmjGTNmaPz48erfv7+eeuopRURE6N1335Uk7d69W0OGDNHw4cPVrVs3jRkzRhMmTGh0zODgYHdbcvv27ZWSkqK4uLhG+w0YMEADBw7Up59+6t72ySefaMSIEerdu7ck6YUXXtD06dN1/vnnq0+fPrrnnns0ePBgvfzyy23xdDRCyAUAAAAAL/f999+rR48e6tq1qyZOnKjjjz9ef/3rX2W323Xssce69wsNDdWIESOUlpYmSZo2bZrmzp2rsWPH6r777tPq1auPuJbJkyfrk08+kVS3bu1nn32myZMnS5IqKiq0Z8+eBjVJ0rHHHuuuqa0RcgEAAADAy5144olauHChVqxYoZycHM2ZM0exsbGSJIul4URWhmG4t40fP15r167Vtddeqz179ujCCy/UjBkzjqiWyZMna8eOHdq4caNWr16t3bt367zzzmuwz4FqamuEXAAAAADwclFRUerVq5e6du3qXs6nZ8+eCgsL008//eTez263a8OGDe7Jo6S69uNLLrlEL774oh544AG9/fbbTd5H/XGdTucBa+ncubNOOOEEffzxx/rkk090yimnqEOHDpKk2NhYdezYsUFNkvTzzz83qKktMbsyAAAAAPig6OhoTZs2Tffdd58SExOVmpqq5557TtXV1brssssk1U08NWzYMPXv3182m03ff/+9+vXr1+TxunbtKovFou+++06nnXaaIiIiFBMT0+S+kydP1uOPPy673a7777+/wXU33HCDHnvsMfXo0UODBw/W+++/r19//VUvvvhi6z4BzSDkAgAAAAh4HWIjtPLOtl/ipkNsRKse7z//+Y9cLpduuOEGVVZWatiwYfrwww+VkJAgqW7poZkzZyonJ0cRERE67rjjmp0AqlOnTrrtttv04IMP6uabb9bFF1+s2bNnN7nvpEmTdNdddyk4OFhnnXVWg+v+9re/qaKiQjNmzFBhYaH69eunt99+W7169WrVx94ci2EYhkfuCQAAAABMlJGR4T6PtV5SUpKCg4M9XovT6VRxcbHH79fXVVRUHDQsM5ILAAAAIGC5XK6Aut9AQMgFAAAAELBKS0vNLgGtjNmVAQAAAAB+g5ALAAAAAPAbhFwAAAAAgN8g5AIAAAAA/AYhFwAAAADgNwi5AAAAAAC/QcgFAAAAAPgN1skFAAAAELASEhIUFOT5sT+Xy+VXa/SOHDlS11xzja699lqzS2EkFwAAAEDgCgoKUnBwsMf/O5RgPX36dHXo0EGzZs1qsP2rr75Shw4dWvspOaAPPvhAffr0abT922+/1eWXX+7RWprDSC4AAACAgOcyDFXWOtv8fmLCgxVksRzy7SIiIjR79mz95S9/UUJCQusXdoTat29vdgluhFwAAAAAAa+y1qlnl2W1+f3cfFIPxUUcegw75ZRTlJmZqWeffVYzZsxocp/Vq1frwQcf1Pr165WUlKSJEyfq3//+t6KjoyVJ+fn5+vvf/65ly5apQ4cOuvPOO/XQQw81aDN+8cUX9cEHHyg7O1sJCQk644wzdM899ygmJkbLly/XTTfdJEnuEeR//vOfuu222xq0K1977bUyDEOvvPKKuza73a4hQ4ZoxowZuvTSS1VbW6v77rtPc+fOVUVFhYYNG6YHHnhAI0aMOOTn5o9oVwYAAAAALxcUFKS77rpLr732mnJzcxtdv3nzZk2ZMkVnn322Fi9erFdeeUU//fST7rzzTvc+N9xwg/bs2aPPPvtMr7/+ut5++20VFhY2up+ZM2dqyZIlmj17tpYtW6b7779fknTMMcfowQcfVGxsrDZt2qRNmzbp//7v/xrVMnnyZH377beqrKx0b1u0aJGqqqr0pz/9SZJ0//33a/78+Zo9e7Z++OEH9ezZU1OmTFFJScmRP1dHfAQAAAAAQJs7++yzNWjQID322GONrnv++ed1wQUX6Nprr1WvXr107LHHaubMmfrf//6nmpoapaWl6ccff9RTTz2lkSNHaujQoXrqqadUXV3d4DjXXnutTjrpJHXv3l0nn3yy7rjjDn3++eeSpLCwMMXFxclisSglJUUpKSmKiYlpVMvYsWMVFRWlr776yr3t008/1RlnnKHY2FhZrVbNmTNHM2bM0Pjx49W/f3899dRTioiI0LvvvnvEzxPtygAAAADgI+655x5dcMEFuv766xts37hxozIzM/XJJ5802O5yubRz507t2LFDISEhGjp0qPu6Xr16NTq/d9myZXrmmWe0fft2VVRUyOl0qqamRlar1d32fDChoaE655xz9Mknn+jiiy+W1WrVN998oxdffFGSlJWVJbvdrmOPPbbBbUaMGKG0tLRDeTqaRMgFAAAAAB9xwgknaOzYsZo5c6YuueQS93aXy6W//OUv+utf/9roNl26dFF6enqTxzMMw/1zTk6Opk6dqiuuuEJ33HGHEhMT9dNPP+mWW26Rw+E4pDonT56s8847TwUFBVqyZInCw8M1fvz4Bvdp+cMEXIZhNNp2OAi5AAAAAOBD/vOf/2jcuHHq3bu3e9uQIUO0bds29erVq8nb9O3bVw6HQ5s2bdKwYcMkSRkZGSorK3Pvs379ejkcDt13333uJY7mzZvX4DihoaFyOg8+C/Wxxx6r1NRUzZs3TwsWLNA555yjsLAwSVLPnj0VFhamn376SV26dJFUNzHVhg0bdM011xzCM9E0Qi4AAACAgBcTHqybT+rhkfs5UgMHDtTkyZP12muvubdNnz5dEydO1O23364///nPio6O1vbt27VkyRI9/PDD6tu3r0455RT94x//0GOPPabQ0FDNmDFDkZGR7tHTHj16yOFw6NVXX9UZZ5yh1atX680332xw3127dpXVatWPP/6oQYMGKTIyUlFRUY1qtFgsuuCCC/Tmm29qx44d+vTTT93XRUdHa9q0abrvvvuUmJio1NRUPffcc6qurtZll112xM8PE08BAAAACHhBFoviIkLa/L/DWSO3KXfccUeDVuNBgwZp7ty5ysjI0KRJkzRu3Dg98sgjSklJce/z/PPPKzk5Weeee66mTZvmDsPh4eGS6kaD77//fs2ePVtjxozRJ598on//+98N7vfYY4/VFVdcoWuuuUYDBgzQc88912yNkydP1rZt29SpUycdd9xxDa77z3/+oz/96U+64YYbdNpppykzM1Mffvhhq6wBbDH2f2YAAAAAwE9lZGQoNja2wbaEhAR3a64nuVwulZaWevx+95ebm6vhw4fr448/1imnnGJqLS1VUVHRbEt2PdqVAQAAAAQss4OmJy1dulRWq1UDBgxQfn6+7r//fnXr1k0nnHCC2aW1KkIuAAAAAAQAu92uhx56SNnZ2YqOjtYxxxyjF198UaGhoWaX1qpoVwYAAAAQEJpqV4ZvaUm7MhNPAQAAAAD8BiEXAAAAAOA3CLkAAAAAAL9ByAUAAAAA+A1CLgAAAADAbxByAQAAAAB+g3VyAQAAAASshIQEBQV5fuzP5XKptLTU4/frScuXL9f555+vtLQ0xcfHe+x+GckFAAAAELCCgoIUHBzs8f8OJVhPnz5dHTp00KxZsxps/+qrr9ShQ4dWey527typDh06aNOmTa12TDMQcgEAAAAEPMMwZHO42vw/wzAOq76IiAjNnj3bK0Z/bTab2SUcEO3KAAAAAAKe3Wlo067KNr+fIV1iFBZiOeTbnXLKKcrMzNSzzz6rGTNmNLnP6tWr9eCDD2r9+vVKSkrSxIkT9e9//1vR0dGSpA4dOmjOnDmaOHGi+zZ9+vTRgw8+qEsuuUSjRo2SJI0fP16SNHr0aM2dO1fTp09XWVmZRo4cqVdffVVhYWFau3atPvroI73yyitKT09XVFSUTj75ZD3wwANKTk4+5MfXmhjJBQAAAAAvFxQUpLvuukuvvfaacnNzG12/efNmTZkyRWeffbYWL16sV155RT/99JPuvPPOFt/Ht99+K0n6+OOPtWnTJr3xxhvu65YuXart27fro48+0jvvvCNJstvtuuOOO7Ro0SK9+eabys7O1k033XSEj/TIMZILAAAAAD7g7LPP1qBBg/TYY4/pmWeeaXDd888/rwsuuEDXXnutJKlXr16aOXOmzjvvPD322GOKiIg46PHbtWsnSUpMTFRKSkqD66KiovT0008rLCzMvW3q1Knun3v06KGHHnpIEyZMUGVlpWJiYg73YR4xQi4AAAAA+Ih77rlHF1xwga6//voG2zdu3KjMzEx98sknDba7XC7t3LlT/fr1O6L7HTBgQIOAK0mbNm3S448/rl9//VUlJSXu8413796t/v37H9H9HQlCLgAAAAD4iBNOOEFjx47VzJkzdckll7i3u1wu/eUvf9Ff//rXRrfp0qWLJMlisTSa+MrhcLTofqOiohpctlqtuvjiizVmzBi98MILateunXbt2qUpU6aYPjEVIRcAAAAAfMh//vMfjRs3Tr1793ZvGzJkiLZt26ZevXo1e7t27dopPz/ffTkjI0NVVVXuy/UjtS6X66A1pKenq6ioSHfffbdSU1MlSevXrz/Uh9ImCLkAAAAAAl5osEVDurT9eaShwYc+s/IfDRw4UJMnT9Zrr73m3jZ9+nRNnDhRt99+u/785z8rOjpa27dv15IlS/Twww9Lkk4++WS9/vrrGjVqlFwulx544AGFhoa6j9G+fXtFRkZq4cKF6tSpkyIiIhQXF9dkDampqQoLC9Orr76qK664Qlu3btVTTz11xI+tNTC7MgAAAICAZ7FYFBYS1Ob/WSxHHnIl6Y477mjQejxo0CDNnTtXGRkZmjRpksaNG6dHHnmkwQRS9913nzp37qxJkybpuuuu0//93/8pMjLSfX1ISIhmzpypt956S0OHDtVf/vKXZu+/ffv2mjVrlr744gudfPLJmjVrlu69995WeWxHymIc7mrEAAAAAOBDMjIyFBsb22BbQkKCgoI8P/bncrlUWlrq8fv1dRUVFQdsyZZoVwYAAAAQwAia/od2ZQAAAACA3yDkAgAAAAD8BiEXAAAAAOA3CLkAAAAAAkJrzWwM87Tkd0jIBQAAABAQLBaLXC6X2WXgMLlcLkIuAAAAANRLSUlRRUUFQdcHuVwuVVRUNFj3tzmskwsAAAAgYFRXVys/P1+GYYgo5BssFossFotSUlIUGRl58P0JuQAAAAAAf0G7MgAAAADAbxByAQAAAAB+g5ALAAAAAPAbIWYXAADwTlU2h6psTtXYnaqxu+RwuWQYksswZBhS54QIJUWHS5JsDpccLkP1k/rXze5vkcX9c93/Q4IsrFEIAADaFCEXAPxQtc2pImutiiptKrbaGvxcXGWTtfb3AFtlc/7hZ4dqHXWB9kCeuGiYLhzZRZKUW1qrokp7i2oLskjBQRaFBFkUHGRRcPB+P7u3q+G24Lr/BxGQAQDAQRByAcCH1Nid2l1SrV0lVdpVUq3dpdUqqKhVYaVNxdZaFVltKqq0qdruNLvUZrkMyeU0ZHce+uT+9aPB9WE4NNii8NAghYUEKXzff2EhjBYDABDICLkA4EVq7E7t2i/E/v7/up8LK21ml2gqw5DsBwnIFklhIZa64Bv6e/gN33c5OIgADACAPyPkAoAJKmrsSsuv1Pa9FUrLr1RafoW251dqT3mN2aX5PENSrcNQrcOpiprGI9rBQfp91PcPIZhRYAAAfB8hFwDaUEWNXel7K7U9v1Lb8yv2/VyhvDLCrFmcLqnK5lKVzdXoOotFigwNVnR4kKLCghUVHqzI0CCCLwAAPoSQCwCtpLzarg27SrVxV5k25JTq191lyiXM+hTDkHsiLqluIi2LRXWBN4zgCwCALyDkAsBhqLU7tTmvXOtzSrUhp0wbd5Uqs8h60BmJ4XsMQ7LWOmWtbSb4hgcrOixYEQRfAAC8AiEXAFogfW+l1u0s0cacUq3fVapteyoOa3Zg+IcGwbeiLvgGWaTIsGBFhf3e7kzwBQDA8wi5ANCEHQWVWrWjSCszivRTRrEKKmvNLglezrVf8C2oqNsWZJFiI0IUFxms2IgQRYYFm1skAAABgJALAJKyCq1amVGkVfv+yy8n1OLIuQyprNqhsmqHpFqFBlsUFxmiuIgQxUYGKzQ4yOwSAQDwO4RcAAFpV0mVVu4bqV25o4jZjuERdqehokq7iirrWpwjw4IUFxGiuMgQxUQEK4jWZgAAjhghF0BAcDhdWpNdogVb9mrh1nztKLCaXRKgaptL1Tab8sttslikmPDgupHeyBBF0doMAMBhIeQC8FulVTYt2laghVvytSStQOXVDrNLApplGFJFjVMVNU7tLqlVSJCl7lzefe3NYSG0NgMA0BKEXAB+ZXt+hRZu2asFW/O1bmepnC5mQIZvcrgMFVsdKrbWfTkTERqk+MgQJUaHKjqcUV4AAJpDyAXg01wuQz9lFuub3/Zo4dZ85RRXm10S0CZq7C7V2Otam8NCLEqKDlVidChtzQAA/AEhF4BPWpNVrC825umrTXkqqGAmZAQWm8PQnjKb9pTZFBEapMToUCVFhygilMALAAAhF4DP2LirVF9syNOXG3OVy2zIgKS6Ed680lrlldYq0h14QxUeyjm8AIDARMgF4NW27inX/I15mr8hV1lFVWaXA3i1artL1aW1yi2tVVRYkLulmUmrAACBhJALwOvsLKrS3PW7NX9jrrbnV5pdDuCTqmwuVdlqtaukVjHhwUqMDlVidIhCgwm8AAD/RsgF4BVq7U59/eseffhzjlZlFslgUmSg1VTWOlVZ61ROsRQbsS/wRoUqJNhidmkAALQ6Qi4AU23OLdMHP+do7vrdrGMLeED9Wrw5RTVKiA5RcmyYYiP4OAAA8B/8qwbA48pr7Pp8fa4++Hmnft1dbnY5QEAyJJVYHSqxOhQZGqTkuDAlRYcqOIjRXQCAbyPkAvCYnzKK9OGaHH21KU81dpfZ5QDYp9ru0s6iGu0uqVG76DAlx4WyHBEAwGcRcgG0qfIauz78OUfv/7RTGYVWs8sBcABOl7S3wqa9FTbFRgQrOTZMCVEhslgY3QUA+A5CLoA2kVlo1RvLM/XJ2l2y2pxmlwPgENWdu1ut0GCLkmPD1D42lJmZAQA+gZALoFUtSyvU68sztWjbXmZIBvyA3Wkot7RWeaW1Stw3UVUME1UBALwY/0oBOGK1dqc+W79bbyzL0rb8CrPLAdAGDEnFVoeKrQ5FhgWpQ2zdRFVBTFQFAPAyhFwAhy2/vEZvrczW+6t3qthqM7scAB5SbXMpu6hGu0pq1C4mTMmxTFQFAPAehFwAh2xLXrleXpKhLzflyu6kJxkIVE6XtLfcpr3lNiVEhahzQrgiwwi7AABzEXIBtNjGXaWavTBdP2zJ53xbAA2UVjlUWuUg7AIATEfIBXBQa7NLNHtBmhZvLzC7FABebv+w2ykhXFGEXQCAhxFyATRr5Y4izVqYppU7iswuBYCPIewCAMxCyAXQyI/bCzRrQZrWZJeYXQoAH1cfduOjQtQ5PlxR4YRdAEDbIuQCcPt+c76eW5imDbvKzC4FgJ8pq3KorMqh+Mi6c3YJuwCAtkLIBaAftxfo0W+26rfccrNLAeDnyqodKquuC7udEsIVTdgFALQyQi4QwDbuKtWj32zV8nTOuQXgWYRdAEBbIeQCASir0KonvtumLzflsRQQAFPVh924fW3MhF0AwJEi5AIBpKCiVrMWpOmDn3fK7iTdAvAe5dUOle8b2e2SFK6IUMIuAODwEHKBAFBZ69ArP+7Qq0szVWVzml0OADSrrNqh8t0OJceFqVNCuEKCLGaXBADwMYRcwI/ZHC69+1O2nluYriKrzexyAKBFDEl7y20qqrSrc0K4kmNDZbEQdgEALUPIBfzUd7/t0YNfbtHO4iqzSwGAw+J0GcoprlFBhU1dkiIUH8nHFgDAwfGvBeBnMgoqdf8Xm7V4e4HZpQBAq6ixu5SeX6W4yBB1SQxXZBjn6wIAmkfIBfxElc2h2QvS9dqyTNmcLrPLAYBWV17t0OZqhzrEhqlzYriCOV8XANAEQi7gB77YkKuZX27RnvIas0sBgDa3t8Km4iq7UhPD1T4mzOxyAABehpAL+LBteyp07+e/aWVGkdmlAIBHOZyGsgtrVFhhV7ekCEWxvi4AYB9CLuCDymvsevr77Xp7ZbYcLta7BRC4rLVObcmzKjk2VJ0TI1hyCABAyAV8zcdrc/TI11tVWMmSQABQr6DCrhKro66FOZYWZgAIZIRcwEdkF1l1x6ebtHIHrckA0BSHy1B2UY0KK+3q1i5CUczCDAABiZALeDmXy9DryzP15HfbVW13ml0OAHg9a61TW3Ot6pQQro7xYbJYaGEGgEBCyAW82Pb8Ct3+8Ub9klNqdikA4FMMSbmltSqtsqtH+0jW1gWAAELIBbyQ3enSC4t36PmF6ax5CwBHoMrm0pY8qzonhCsljlFdAAgEhFzAy2zcVarbP9moLXkVZpcCAH7BMKTdJbUqrXKoR/sIRYQyqgsA/oyQC3iJGrtTT3+/Xa8uy5STZYEAoNVZa53akmtVamK4OsSFm10OAKCNEHIBL7A6s1i3f7JRmYVWs0sBAL/mMqSc4lqVVDnUo32kwkOCzC4JANDKCLmAiWwOl578bpv+uzRDDN4CgOdU1ji1eXeluiRFKJl1dQHArxByAZPs2Fupmz/8Rb/uLje7FAAISC5D2llUo1KrXd3bRyqMUV0A8AuEXMAE767K1oNfbmHdWwDwAuU1Tm3OrRvVbR/DqC4A+DpCLuBBxVabbv9ko77fnG92KQCA/ThdUnZhjUqtDnVvH6HQYEZ1AcBXEXIBD/lxe4H++dEG7a2oNbsUAEAzyqod+m23Vd2SIpQUE2p2OQCAw0DIBdpYrcOpx77ZpteXZ8pgcikA8HpOl6HMwmqVVdvVrV2kgoMsZpcEADgEhFygDW3Pr9DNH/yiLXkVZpcCADhExVaHqmxW9e4QqYjQYLPLAQC0ECEXaCPvrMrWA/M3q9bhMrsUAMBhqrG7tCXXqh7tI5UYTfsyAPgCQi7QyqpsDt3xySZ9viHX7FIAAK3AZUgZBdVKqXUqNTFcFgvtywDgzQi5QCtK31up695Zq/S9lWaXAgBoZfnlNlltTvVKjmT2ZQDwYrxDA61k3vrdmvTcMgIuAPixyhqntuRaVVnjMLsUAEAzGMkFjpDd6dL9X2zW26uyzS4FAOABdqehbXuq1CUpXClx4WaXAwD4A0IucATyy2t0/TvrtG5nidmlAAA8bFdxray1TnVnmSEA8CqEXOAwrc4s1g3vrlNBZa3ZpQAATFJidajaZlWv5EhFhrHMEAB4A87JBQ7DG8szNfW/qwi4AADV2F3ammdVidVudikAADGSCxySWodTd3yySZ/9stvsUgAAXqR+maEOtU51YZkhADAVIRdoocLKWl3z1lrOvwUANGtvuU1VtfuWGQqhYQ4AzMC7L9AC2/MrdN7zywm4AICDqqx1anOeVRUsMwQApiDkAgexeNteTX5hhXaVVJtdCgDARzichtL2VKmY83QBwONoVwYOYM6KLD0wf7OcLsPsUgAAPsaQlFlQLZvDpY7xrKcLAJ5CyAWa4HQZuu+L3/TWymyzSwEA+LjdJbWyOwx1SWJCKgDwBEIu8AflNXZNf+8XLdleYHYpAAA/sbfCJpvTpZ7JkQoi6AJAm+KcXGA/OcVVmvzCCgIuAKDVlVY5lLanSg4np8AAQFsi5AL7rMsu0XnPL1fa3kqzSwEA+KnKWqe27bHK5nCZXQoA+C1CLiBp4da9mvrqKhVZbWaXAgDwczV2l7bmWVVlc5pdCgD4JUIuAt6n63bpmrfWqMbOt+oAAM+wOw1ty7OqvJq1dAGgtRFyEdBeX5apf3y0QQ6WCAIAeJjLkNLzq1RUyVq6ANCamF0ZAevxb7fp+UXpZpcBAAhghqSswmrZnaylCwCthZCLgONyGbp73q9696edZpcCAICkurV0bQ5DXVlLFwCOGCEXAcXmcOmWD3/RV5v2mF0KAAANFFTYZGctXQA4YpyTi4BhrXXoyjmrCbgAAK9VWuXQdtbSBYAjQshFQCi22nTpf1dpeXqR2aUAAHBAVtbSBYAjQsiF39tTVqOLXlqpjbvKzC4FAIAWqbG7tD2/SnYnQRcADhUhF35tT1mNLv3vKu0oqDS7FAAADkmt3aXtewi6AHCoCLnwW3vKanTJKyuVWWg1uxQAAA5LDUEXAA4ZIRd+Ka+sWpe8slJZRVVmlwIAwBGpsbuUtqdKDoIuALQIIRd+J6+sWpe+soqACwDwG9X7ztEl6ALAwRFy4VfqRnAJuAAA/1Ntqw+6LC8EAAdCyIXfyC2tC7jZBFwAgJ+qtrmUlm+Vw0XQBYDmEHLhF3JLq3Xpfwm4AAD/V2VzKW2PVU6CLgA0iZALn8cILgAg0FTZXErLryLoAkATCLnwaXXLBK3SzmICLgAgsFhrnQRdAGgCIRc+q8Rq059f+4mACwAIWNZap9IJugDQACEXPsla69CVc35W+t5Ks0sBAMBUlfuCrougCwCSCLnwQTaHS9e+vVbrc0rNLgUAAK9QWetU+l6CLgBIhFz4GJfL0C0f/qJl6YVmlwIAgFepqCHoAoBEyIWP+c/cX/XVpj1mlwEAgFeqqHEqo6BahkHQBRC4CLnwGY99s1Xvrd5pdhkAAHi1smqHcoprzS4DAExDyIVPeHVphl5YvMPsMgAA8AkFFTbllxN0AQQmQi683idrd2nmV1vMLgMAAJ+yq7hWpVV2s8sAAI8j5MKrfb85X7d/slGcWgQAwKHLLKiWtdZpdhkA4FGEXHit9Tmlmv7+OjmYJRIAgMPiMqT0vVWqdbjMLgUAPIaQC6+0q6RKf3tzjWrs/KMMAMCRcDgNpedX8aUxgIBByIXXqax16K9vrlFBJRNmAADQGmrsLmXsrWJpIQABgZALr+J0GbrxvXXauqfC7FIAAPArFTVOZRfVmF0GALQ5Qi68yv3zN2vxtgKzywAAwC8VVdqVW0qnFAD/RsiF13hzRZbeXJFldhkAAPi1vNJaFVXazC4DANoMIRdeYfG2vbp//mazywAAICBkF9aoosZhdhkA0CYIuTDd1j3luvG9X+Rk1kcAADzCkLRjb5Vq7KyhC8D/EHJhqoKKWl09Z40qa/k2GQAAT3K6pLT8KtmdLNcHwL8QcmGaWrtT17y1RrtLq80uBQCAgGRzGNqxt1ouuqkA+BFCLkzzn7m/6pecUrPLAAAgoFlrncos5AtnAP6DkAtTvPdTtj5au8vsMgAAgKTSKofyy1haCIB/IOTC49bnlOrez5lJGQAAb7KrpFaVzLgMwA8QcuFRxVab/u+dtbIxyQUAAF4no6BaDv6NBuDjCLnwGKfL0PT31ym3rMbsUgAAQBPsTkOZhfw7DcC3EXLhMU9+t03L04vMLgMAABxAebVDeaWcnwvAdxFy4RHfb96jF5fsMLsMAADQArmltarg/FwAPoqQizaXWWjVP/63QQZL8AEA4DMyC6pl5/xcAD6IkIs2VW1z6rq316qcb4MBAPApdqehzIJqGXxLDcDHEHLRpu74dKO25VeYXQYAADgMFTVO5ZXZzC4DAA4JIRdt5v3VOzVvfa7ZZQAAgCOQV1qr8mo6sgD4DkIu2sSOgkrd/8Vms8sAAACtILOwWnYH5+cC8A2EXLQ6m8Olmz/4RdV2p9mlAACAVuBwGsoo5PxcAL6BkItW98R32/Tr7nKzywAAAK2ossapXNbPBeADCLloVcvSCvXfpRlmlwEAANrAnjKbyjg/F4CXI+Si1RRbbbr1f+tZDxcAAD+WVVAtG+fnAvBihFy0mts/2ai9FbQxAQDgzxwuQxmsnwvAixFy0SreWZWt7zfnm10GAADwAGst6+cC8F6EXByxtPwKPfglywUBABBI9pTWqtrGSgoAvA8hF0ek1uHUzR+sV42dc3MAAAgkhqQslhUC4IUIuTgiT3y7XZvzWC4IAIBAVGVzKb+ctmVPWbx4sSwWi0pLS80uBfBqhFwctl92lui1ZSwXBABAIMstrVWN3bfalqdNmyaLxaJHHnmkwfa5c+fKYrG02v1kZWXJYrFo/fr1rXZMAAdHyMVhqXU49a+PN8pFhxIAAAHNMKSswhqfa1uOiIjQo48+qpKSErNLkc3GaDjQmgi5OCzP/pCm9L2VZpcBAAC8gLXWqb0VvhXUTjvtNHXs2FEPP/xws/usWLFCp5xyiiIjI9W1a1fddNNNslqt7ustFovmzp3b4DYJCQmaM2eOJKlnz56SpBEjRshisejUU0+VVDeSfN555+nhhx9W586d1a9fP0nSO++8o1GjRik2NlYdO3bU1KlTtXfv3tZ70ECAIOTikP26u0yv/EibMgAA+F1uSa1qfWgiyuDgYD300EOaPXu2du3a1ej6TZs2acKECbrgggu0ceNGffjhh1q2bJluvPHGFt/H6tWrJUk//PCD8vLy9Omnn7qvW7BggbZs2aLvv/9e8+fPl1Q3ovvAAw9ow4YNmjt3rjIzMzVt2rQje6BAAAoxuwD4FrvTpds+3igHfcoAAGA/LkPKKqpW/47RZpfSYueff76GDx+uGTNm6LXXXmtw3eOPP66pU6fqlltukST17dtXs2bN0pgxY/Tiiy8qIiLioMdPTk6WJLVr104dO3ZscF10dLReffVVhYWFubddddVV7p979eqlWbNm6dhjj1VlZaViYmIO92ECAYeRXBySFxbvYDZlAADQpMoapwp8bLblRx99VG+++aY2b97cYPvatWs1Z84cxcTEuP+bMGGCXC6XMjMzj/h+hwwZ0iDgStIvv/yic889V927d1dsbKy7vXnnzp1HfH9AICHkosW27anQ8wvTzS4DAAB4sV0lNbI5fKdt+ZRTTtGECRN01113Ndjucrl07bXXav369e7/NmzYoLS0NPXu3VtS3Tm5f5xwy263t+h+o6MbjnhbrVadccYZiomJ0TvvvKOff/5Zn332mSQmpgIOFe3KaBGny9BtH2+Qzek7/2gBAADPcxlSdlG1+qb4TtvyI488ouHDh7sngJKko48+Wr/99pv69OnT7O2Sk5OVl5fnvpyWlqaqqir35fqRWqfz4Essbd26VYWFhXrkkUfUtWtXSdKaNWsO+bEAYCQXLfTfpRnasKvM7DIAAIAPKK92qtCHZlseMmSILrvsMs2ePdu97fbbb9fKlSt1ww03aP369UpLS9Pnn3+u6dOnu/cZN26cnnvuOa1bt05r1qzRddddp9DQUPf1HTp0UGRkpL755hvl5+errKz5z1LdunVTWFiYZs+erYyMDH3++ed64IEH2uYBA36OkIuDyiio1NPfbze7DAAA4EN2ldTI7kNtyw888ECD1uOhQ4dqyZIlSktL08knn6wRI0bo7rvvVqdOndz7PPnkk+ratatOOeUUTZ06Vf/85z8VFRXlvj4kJESzZs3Syy+/rM6dO+vcc89t9v6Tk5M1Z84cffTRRxo4cKAeeeQRPfHEE23zYAE/ZzF8beVueNylr6zSyowis8sA4GWeuGiYLhzZRZKUVVitosqWnYcGIHDER4aoT0rUwXcEgFbESC4O6PP1uwm4AADgsJRVO1TMF2AAPIyQi2ZV1jo086stZpcBAAB82M7iGtmZuBKABxFy0axnf0hTfnmt2WUAAAAf5nQZ2lVcY3YZAAIIIRdNSsuv0BvLj3yhcwAAgGKrQ5U1DrPLABAgCLlo0j2f/yaHiznJAABA68gprhHznQLwBEIuGvliQ65W7mCyKQAA0HqqbC5mYQfgEYRcNGCtdWjml0w2BQAAWt/uklo56RQD0MYIuWhg1oI07SlncggAAND6HC5DuaVMagmgbRFy4Za+t1KvM9kUAABoQwXlNtXYnWaXAcCPEXLhds+8X2V30kIEAADajiEpp5jRXABth5ALSdJ3v+3RCiabAgAAHlBe7VBZFZNQAWgbhFzI4XTp0W+2ml0GAAAIIDnFtSwpBKBNEHKh/63J0Y4Cq9llAACAAFLrcKmggtFcAK2PkBvgqmwOPf1DmtllAACAAJRXypJCAFofITfA/XdppgoqmPwBAAB4nsNlaE8Zn0MAtC5CbgArrKzVK0t2mF0GAAAIYPnlNtkcLrPLAOBHCLkB7Nkf0mS1sU4dAAAwj2FIuaWM5gJoPYTcAJVZaNX7q3eaXQYAAICKKu2q4ot3AK2EkBugHvtmqxxM9AAAALzE7pIas0sA4CcIuQHol50l+vrXPWaXAQAA4FZe7VR5tcPsMgD4AUJuAHr4661mlwAAANDILkZzAbQCQm6AWbR1r1ZnFptdBgAAQCPVNpfKquxmlwHAxxFyA8yzC9LMLgEAAKBZeWU2s0sA4OMIuQFkyba9Wp9TanYZAAAAzbLWOlXBubkAjgAhN4A8uyDd7BIAAAAOKq+MdXMBHD5CboBYmlagdTtLzC4DAADgoCpqnKqsZTQXwOEh5AaIWZyLCwAAfMieUs7NBXB4CLkBYOWOIv2cxSguAADwHWXVDlXZnGaXAcAHEXIDAKO4AADAF+0p5dxcAIeOkOvnVmcWa2VGkdllAAAAHLKSKodq7IzmAjg0hFw/xyguAADwZXtYNxfAISLk+rF12SVall5odhkAAACHrajSrlqHy+wyAPgQQq4fm7WQUVwAAOD79rBuLoBDQMj1U1vyyrV4W4HZZQAAAByxokq7bIzmAmghQq6fen15ptklAAAAtArDkPLLOTcXQMsQcv1QQUWtPl+fa3YZAAAAraawwiaHk9FcAAdHyPVD76zKZoIGAADgV1yM5gJoIUKun6m1O/XOqmyzywAAAGh1BRU2OV2G2WUA8HKEXD8zd32uiqx8ywkAAPyP0yXtZTQXwEEQcv3M68uYcAoAAPivggqbDIPRXADNI+T6kR+3F2hbfoXZZQAAALQZu9NQaZXD7DIAeDFCrh9hFBcAAASCwkpalgE0j5DrJ9L3VmpJWoHZZQAAALS58mqnau2sJAGgaYRcP/H6skxxegoAAAgUjOYCaA4h1w+UWG369JddZpcBAADgMYWVdiagAtAkQq4f+PSXXaqhZQcAAAQQBxNQAWgGIdcPvL86x+wSAAAAPK6ggpZlAI0Rcn3cmqxipe+tNLsMAAAAj6uoYQIqAI0Rcn3cBz8zigsAAAIXo7kA/oiQ68PKa+z6cmOe2WUAAACYpqjSLhcTUAHYDyHXh32+PlfVdqfZZQAAAJjG4WICKgANEXJ92Purd5pdAgAAgOkKaVkGsB9Cro/6dXeZfsstN7sMAAAA01XUOFVDdxuAfQi5PuoDRnEBAADcCivsZpcAwEsQcn1Qlc2heetzzS4DAADAaxQyARWAfQi5PujLjXmqqGWCBQAAgHpOl6FSK5+PABByfdKHrI0LAADQCGvmApAIuT4np7hKa7JLzC4DAADA61TWMgEVAEKuz/liA+fiAgAANKeokgmogEBHyPUxX2wk5AIAADSnhPNygYBHyPUhafkV2pJXYXYZAAAAXqvW4VKVjZZlIJARcn3I57QqAwAAHFSplZZlIJARcn0I5+MCAAAcXEkVLctAICPk+oiNu0qVVVRldhkAAABer8buUjUty0DAIuT6CFqVAQAAWo7RXCBwEXJ9xPwNeWaXAAAA4DM4LxcIXIRcH/BTZpH2lNeYXQYAAIDPqLa7VGOnZRkIRIRcH/DFelqVAQD+5+N3XtUlZ47WmCFdNGZIF115wWlavvh79/UvP/OwJo8fpZMGdtLYYd30f3+epF9/WXPQ41aUl+rRu/+hCcf20+j+HXThacdo2aLv3Nd/Pfd/Onv0QI0b3l3PPvSfBrfN3ZWtC8YercqK8tZ7oDANa+YCgSnE7AJwYA6nS1/9usfsMgAAaHUdOqbqxtvvVdfuvSRJ8z95T/+45lK9O3+pevcboO49++i2+x5Xarceqq2p0XuvPa8brjhfcxf9osR27Zs8pt1m0w2Xn6fEdsl69IW3lNKxs/LzdisqOkaSVFpcpAfvmK4ZT7yg1K49dMvVF2vk8SfrpHETJEmP/OdW3Xj7vYqJjfPMk4A2VVJlV6eEcLPLAOBhhFwv93NWiYqtNrPLAACg1Z1y2lkNLt/wr3v0ybuvadMvP6t3vwE689yLGlz/9/88pHn/e1tpW3/VsSee2uQx5330tspKS/T6x98rJDRUktSpSzf39bt2ZikmNk5n/GmyJGnU8ScrI22rTho3Qd/M+0ghoWEad+akVnyUMFO1zaVau0vhoTQvAoGEV7yX+2FLvtklAADQ5pxOp7794mNVV1dp6NHHNrrebrPps/fnKCY2Xv0GDGn2OD/+8LWGjjhWj97zD50xqo8unnC8Xn/+CTmddedmduvZSzU11dr62waVlRZr88Z16nvUIJWVFuulp2fqtvseb7PHCHOUVDEBFRBoGMn1cgsIuQAAP5a+9TddOfl02WprFBkVo8dfele9+h7lvn7pgm90101Xqaa6Su07dNTzb3+mhKR2zR5v984srdn1o8487yI9+8ZH2pm1Q4/d8085nU797abbFRefqHufeFEz/nGdamuqNfGCS3XCmNN03203aMoV1yo3J1u3/u0SORwOXXPzHTpt4nkeeBbQlkqsDnWMp2UZCCQWwzAMs4tA03bsrdT4p5aYXQYANOmJi4bpwpFdJElZhdUqqmS0BIfObrNpT26OKsrLtPCbzzX3w7f0ygdfuYNudZVVhXv3qLSkWJ99MEdrVvyoOZ8tVFL75CaPd8HYo1Vrq9XnP25UcHCwJOmdV5/T26/M0rertzd5mzWrlmrWw3frlQ++0nmnjtDMZ19Tu+QUXXH+OH22cF2z9wXfMaRLjMJCaGAEAoXXvtqzsrJksVi0fv36A+536qmn6pZbbvFITZ5GqzIAwN+FhoWpa4/eGjj0aN14273qN2Cw3n/jRff1kVHR6tqjt4aMOEb3PPq8gkNCNO9/bzV7vPYdOqp7z97ugCtJPfv0V1FBvuy2xnNc2Gpr9ejd/9BdM59RTlaGnE6HRh5/knr07qvuPXvr1/UHn80Z3q+ENXOBgHLEIXfatGmyWCyyWCwKDQ1Vr1699M9//lNWq/WIjtu1a1fl5eVp8ODBkqTFixfLYrGotLS0wX6ffvqpHnjggSO6L2+1YOtes0sAAMCjDMNoMozuf73tANcPG3WccrIy5XK53Nt2ZqarfYeOCg0La7T/q7Mf0+gxp+uowcPldDnldPy+5IzD7pDLxTqr/qCkiqWEgEDSKufknnnmmXrjjTdkt9u1dOlS/fWvf5XVatWLL7548Bs3Izg4WB07djzofklJSYd9H96stMqmtdklZpcBAECbef7x+zR6zOlK6ZyqqspKffvFJ1q7aplmzflE1VVWvf78EzrltIlqn5yistJiffT2q9qbl9vgPNl7br1WHTp20o233StJmnzZ1frwzVf0xH23a8oV1yona4feeP5JTZl2baP737F9i77/8lO99+UySVKP3v1kCQrS3A/fUvvkFGXt2K6BQ4/2xFOBNmatdcrmcNGyDASIVnmlh4eHq2PHjurataumTp2qyy67THPnzlVtba1uuukmdejQQRERETrppJP0888/u29XUlKiyy67TMnJyYqMjFTfvn31xhtvSGrYrpyVlaWxY8dKkhITE2WxWDRt2jRJDduV77zzTh1//PGN6hs6dKhmzJghSXK5XLr//vvVpUsXhYeHa/jw4frmm29a42loVYu2Fcjp4nRpAID/Kircq3tuvVaTx4/S9X+epN82rNGsOZ/o+JPHKSg4WFk7tuu26y/XBeNH6parp6ikuEj//d/X6t1vgPsYe3J3qXDv76f3dOzcRc+99Zk2b1ynS88arcfvu02XXHmdpl1/a4P7NgxDM++6Wbf+52FFRkVLkiIiInXv4y/q1VmP6YHbb9Rt9z2uDh07e+bJQJsrZTQXCBhtMrtyZGSk7Ha7brvtNn3yySd688031b17dz322GOaMGGC0tPTlZSUpLvvvlubN2/W119/rfbt2ys9PV3V1dWNjte1a1d98sknmjx5srZt26a4uDhFRkY22u+yyy7TI488oh07dqh3796SpN9++02bNm3Sxx9/LEl69tln9eSTT+rll1/WiBEj9Prrr2vSpEn67bff1Ldv37Z4Og7LD5s5HxcA4N/uefT5Zq8LD4/Q4y+9e9BjvPLBl422DT36WM35bMEBb2exWPT6x9812n7y+DN18vgzD3q/8D0lVXZ1iGvcsg7A/7R6z8bq1av13nvvaezYsXrxxRf1+OOP66yzztLAgQP13//+V5GRkXrttdckSTt37tSIESM0atQo9ejRQ6eddprOOeecRscMDg52tyV36NBBHTt2VHx8fKP9Bg8erKFDh+q9995zb3v33Xd1zDHHqF+/fpKkJ554QrfffrsuueQS9e/fX48++qiGDx+uZ555prWfisNmd7r04/YCs8sAAADwG9Yap1x0yQEBoVVC7vz58xUTE6OIiAidcMIJOuWUUzR9+nTZ7XadeOKJ7v1CQ0N17LHHasuWLZKk66+/Xh988IGGDx+u2267TStWrDjiWi677DK9+27dN7+GYej999/XZZddJkkqLy9Xbm5ug5ok6cQTT3TX5A1+yihWRS0tNQAAAK3FkFRZy0RiQCBolZA7duxYrV+/Xtu2bVNNTY0+/fRT90irxWJpsK9hGO5tZ511lrKzs3XLLbcoNzdX48eP1z//+c8jqmXq1Knavn271q1bpxUrVignJ0eXXHJJg30OVJM3WLCVVmUAAIDWVlHDIAIQCFol5EZHR6tPnz7q3r27QkNDJUl9+vRRWFiYli1b5t7PbrdrzZo1GjDg9wkjkpOTNW3aNL3zzjt65pln9MorrzR5H2H7pv13Og/8DVyXLl10yimn6N1339W7776r0047TSkpKZKkuLg4de7cuUFNkrRixYoGNZltEUsHAQAAtLqKGkZygUDQJhNPSXXB9/rrr9e//vUvJSUlqVu3bnrsscdUVVWlq6++WpJ0zz33aOTIkRo0aJBqa2s1f/78ZsNm9+7dZbFYNH/+fE2cOFGRkZGKiYlpct/LLrtM9957r2w2m55++ukG1/3rX//SjBkz1Lt3bw0fPlxvvPGG1q9f725xNtuukiplFVWZXQYAAIDfsdY65XQZCg7yng4+AK2vzUKuJD3yyCNyuVy6/PLLVVFRoVGjRunbb79VYmKipLrR2TvvvFNZWVmKjIzUySefrA8++KDJY6Wmpuq+++7THXfcoSuvvFJ/+ctfNGfOnCb3veiiizR9+nQFBwfrvPPOa3DdTTfdpPLycv3jH//Q3r17NXDgQH3++edeM7Pyih1FZpcAAADgtypqHEqICjW7DABtyGIYBtPMeZGb3v9Fn2/INbsMADioJy4apgtHdpEkZRVWq6jSbnJFAHBwHeLC1DUpwuwyALShVl9CCEdmJSO5AAAAbYbJpwD/R8j1Ilv3lKugstbsMgAAAPxWtc0lh5NGRsCfEXK9CKO4AAAAbY/RXMC/EXK9CCEXAACg7RFyAf9GyPUSLpehnzKLzS4DAADA77FeLuDfCLleYlt+hcqqmZkUAACgrdXYXbI7XWaXAaCNEHK9xKoMWpUBAAA8paKa0VzAXxFyvQQhFwAAwHM4LxfwX4RcL7Ga83EBAAA8hpAL+C9CrhfYsbdSJVWcjwsAAOAptQ5DNgfn5QL+iJDrBdbvKjW7BAAAgIDDaC7gnwi5XmD9zlKzSwAAAAg45Uw+BfglQq4X2MBILgAAgMdV1jKSC/gjQq7Jah1Obc2rMLsMAACAgGNzGHI4DbPLANDKCLkm25xbLhuLkQMAAJiiykbLMuBvCLkmW59TanYJAAAAAauakAv4HUKuyTbklJldAgAAQMCqstFRB/gbQq7J1ueUmF0CAABAwGIkF/A/hFwTlVbZlFVUZXYZAAAAAavG7pLLYPIpwJ8Qck20gfNxAQAATGVIqqFlGfArhFwTrd/F+bgAAABmY4ZlwL8Qck20aVep2SUAAAAEvGpGcgG/Qsg10dY9FWaXAAAAEPAYyQX8CyHXJNZah3aXVptdBgAAQMCrthNyAX9CyDVJ2t5KMZEfAACA+ZwuqdZOyzLgLwi5JtmeT6syAACAt2A0F/AfhFyTEHIBAAC8RxWTTwF+g5BrkrT8SrNLAAAAwD5MPgX4jxCzCwhU25hZ2aeUrfyfSn98S7EjJynptGtkOB0qXfq2qneskaNsj4LCoxXRfZgSxkxTSGy7Ax7Lum25ypa+I3tpnkITOinhlMsV1W+0+/rK3xapdMmbMuw1ihl6hhLHXuW+zlGWr/wP71anK55RUHhUmz1eAAACTTUhF/AbjOSaoLzGrj3lNWaXgRaqzduuig3fKjS5h3ub4aiVbc8OxY++RJ2ueFbJ590le3GuCj594MDH2r1FhfMeVfSgsep85WxFDxqrgnmPqjZ3myTJWVWm4m9mK3HsVepw8f2q/HWBqnb87L590bcvKHHMNAIuAACtzOYw5HAxKyjgDwi5JqBV2Xe4bNUq/OIJtTtzuoIiYtzbg8KjlXLJg4oecLJC23VReOpRSjr9Wtn2pMtRvrfZ45Wv+VwRPUYo/oSLFdquq+JPuFgR3YepfM08SZKjdI8s4VGKHnCKwjv1U0S3obIX7pQkWTcvliU4RFH9Rzd7fAAAcPgYzQX8AyHXBLQq+47i719UZO9jFNlj+EH3ddVWSbIoKDym2X1qd29VZM8RDbZF9jxatbu3SJJCklJl2Gtly98hZ3WFbHnbFZbcQ87qCpUufVdJp193JA8HAAAcAOflAv6Bc3JNkLaXkOsLrJuXyLZnhzpd8fRB9zUcNpUumaPogWMO2ErstJYoODqhwbbg6AQ5rSV1P0fEqP3Zf1fh/KdkOGyKHjxOkb1GqvCrZxQ78k9ylOVr7ycPSC6H4k+cquijTjqixwgAAH5XzQzLgF8g5JqA5YO8n6O8QMUL/quUKffLEhJ2wH0Np0MFnz8mGYaSzvi/Fhzd0vD2htFgW1S/0Q0moqrZuVH2gmwlnX6dcl+5Ru3P+ZeCoxOV99atiug6uFFoBgAAh6fWTsgF/AEh1wQ79lrNLgEHYduTLldVqfLm3PL7RsOl2pzfVLFuvrr98zNZgoLrAu68R+Qo3aOUSx866IRQwdGJ7lHbeq6qsmaDquGwq/i7F9XuT/+QoyRPhsupiG5DJEmhSamqzdumqD7HHclDBQAA+9ichFzAHxByPazW4VR+BTMre7uI7sPU6arnGmwr+upZhbbrorjjJjcMuCW5Srn0YQVHxh30uOGpR6k66xfFHXOee1t15i8KTx3Q5P6lKz5QRK+RCu/YR7b8HZLr93OFDJdDcvGPMQAArcXmMGQYhiwWy8F3BuC1mHjKw3aXVMtgdnqvFxQepbDkHg3+s4SGKygiVmHJPWS4nCqY+7Bse9LV/px/Si6XnJUlclaWyHDa3ccpnP+kSpbMcV+OHTlJNZm/qGzVx7IX5ahs1ceqyV6vuFHnNqrBVpCtqq0/KuGkP0uSQpK6SJYgVWz4TlU7fpa9aJfCOvVt8+cCAIBAYnfyQQ3wdYzketiukmqzS0ArcFYUqjr9J0lS3hs3Nbgu5dKHFNFtqKS6c3tl+f27pIguA9R+0m0qXfqOSpe+o5CEjkqedLvCO/dvcAzDMFT87XNKHPc3BYVFSJKCQsPVbuItKv7+RRlOu5JOv04hse3b8mECABBwbA6XwkIYBwJ8mcUwGFf0pPd+ytZdn/1qdhkAcMSeuGiYLhzZRZKUVVitokr7QW4BAN6vZ/tIJcWEml0GgCPA11QellPMSC4AAIC3qnUw3wXg6wi5HrarpMrsEgAAANAMZlgGfB8h18NyOCcXAADAa9kcnMkH+DpCrocxkgsAAOC9bLQrAz6PkOtB1TanCittZpcBAACAZhByAd9HyPUgRnEBAAC8m8uQHKyVC/g0Qq4HcT4uAACA92M0F/BthFwPyilmJBcAAMDbMcMy4NsIuR6UX15jdgkAAAA4CEZyAd9GyPUgJp0CAADwfrUsIwT4NEKuBxVZa80uAQAAAAfBSC7g2wi5HlTESC4AAIDXI+QCvo2Q60GFlYzkAgAAeDsb7cqATyPkehAjuQAAAN7P4TLkMgi6gK8i5HpItc2parvT7DIAAADQAnYnIRfwVYRcD2HSKQAAAN/hchFyAV9FyPUQlg8CAADwHU5CLuCzCLkeUsSkUwAAAD7DyQTLgM8i5HpIkZWRXAAAAF/hZOIpwGcRcj2EkVwAAADfwTm5gO8i5HoII7kAAAC+g3NyAd9FyPWQihqH2SUAAACghVhBCPBdhFwPqaol5AIAAPgKRnIB30XI9ZAqu9PsEgAAANBCnJML+C5CrodU2Qi5AAAAvoLZlQHfRcj1kGpCLgAAgM9gnVzAdxFyPaTKxjm5AAAAvoJ2ZcB3EXI9hHZlAAAA38HEU4DvIuR6CCEXAADAd3BOLuC7CLkeQrsyAACA7+CcXMB3EXI9wOUyVGPnnRIAAMBXcE4u4LsIuR5QzRq5AAAAPsWQ5KJlGfBJhFwPoFUZAADA9zD5FOCbCLkeUG2jVRkAAMDXuPgIB/gkQq4HOHiHBAAA8DnMsAz4JkIuAAAA0AQyLuCbCLkewPsjAACA77GYXQCAw0LI9QRSLgAAAAB4BCHXA8i4AAAAAOAZhFwAAAAAgN8g5HqAwawFAPxQ16RI98/tYkIVHsI/KQD8DCflAj6JTyQeQMQF4G8iQoI0slui+3JsRIgGpkarc0K4gvhQCAAATETIBQAcskcnD1VIcMN/QoIsFnVKCNfA1BglRIWYVBkAAAh0hFwPoFsZgD9JjgnTOcM6uy+//0uuckqr3admhIcEqXeHKPXpEEULMwAA8Di+avcAg4ZlAH7kualHK2hfT/Lm/AqlF1UpvahKvZIidf7gjooKC5YkxUeFKDYyWvllNuWV1fKFHwAA8Ai+YgcAtNiATrE6tmeSJMnpMrQwvdh9XUZxtZ78MVMrskrk2pdo61uYB9HCDMAHMcUA4JsIuQCAFpt96dGyWOo+9q3ZVaaSanujfRakF+npJZm0MAPweRZSLuCT+KThAeEhwWaXAABHbPxRHdQ7OVqSVONwallmcbP7VjlcmrNmt97/JVdVNqd7e3zU77Mw8+ERgLez8EYF+CRCrgdEhhJyAfi+RyYPdX/gW5FVqiq766C32bGvhXlldtMtzPGRtDAD8F58UAZ8E69dD4gMI+QC8G1XnthDybHhkqSyGrt+2ll6SLf/Ia1IT/+YqV1/aGHukxKlPh0iFR7CaAkA78NALuCbCLkeEMH5ZwB8WFCQ9K8J/d2XF+8olsN16FMlV9ldemPNbr2//o8tzKEamBqjTrQwA/AytCsDvon05QHhocEK4j0SgI+6e+JARYXVtRXnV9RqU17FER1vR1HTLcydE8I1qDMtzAC8BxkX8E2EXA+J4LxcAD4oOixEl5/Q3X35h7SiVlv5+4e0Ij29NFO7ymp+b2EO/b2FOYwWZgAmCyLlAj6JkOshTD4FwBc9dfFQhQTX/VORUVSljOKqVj1+lc2lN37epQ+aaGEeRAszABPx1gP4LkKuhzCSC8DXpCZE6PRBHSVJhmFoQXphm91X+r4W5lXZpbQwA/AKfMEG+C5CrocQcgH4muemHu1u1du0p0J7Kmxtfp/fpxXq6aWZ2t1EC3NvWpgBeBCtyoDvIuR6SGQYTzUA3zGia7yGd02QJDmcLi3eUeyx+66yufT6vhbmavvvLcwJtDAD8KDgYN5oAF9F8vIQzskF4EueuWSEe+mM1TllKqtxeLyG9KJqPbEkUz/RwgzABCEsjQH4LEKuh9CuDMBXnDO0k7olRUmSqmxOLcsqMbWe79IK9SwtzAA8LISRXMBnEXI9JDqcEQcAvuH+cwe7R3GXZRWr1uEyuSKpcl8L84cb8ppuYY4Po4UZQKsKZSQX8FmEXA9JjAo1uwQAOKj/O7W3EqPDJEklVXatySkzuaKG0gqr6lqYd/6hhTkxghZmAK2KkVzAdxFyPSQpOtzsEgDggEKCpJvG93VfXrSjSE7DxIIO4LvttDADaFuckwv4LkKuhyRFM5ILwLs9cO5g9/wBuWU1+i2/0uSKDqy+hfl/G/Y0bmHuTAszgCPDSC7guwi5HpIYFWZ2CQDQrLiIEF18TFf35R/Si0ys5tBsL7TqiSWZWr1/C3PQ7y3McbQwAzgMjOQCvouQ6yHtogm5ALzXrEtHKDio7p+E7QVWZZdUm1zRoft2Xwtz7h9amPvSwgzgMIQE8zEZ8FW8ej0kkZALwEv1bBelMf2SJUkuw9BCHxrF/aNKm0uv7WthrmmihbkjLcwAWoiRXMB3EXI9JImQC8BLPXfZ0e4lg9bnlqvAajO5oiO3vdCqx5toYU5NjNBAWpgBtADn5AK+i5DrIYRcAN7ohN5JGtgpTpJkc7q0ZEexyRW1LncLc/nvLcwRtDADOAiLRQpmJBfwWYRcD4kKC1FEKE83AO/y5EXD3aO4q7JLVWlzHuQWvqfS5tJrq2lhBtBytCoDvo3U5UHMsAzAm1w0qos6J0RKkqw2h1Zml5hcUduqb2H+OYcWZgAHRqsy4NsIuR5EyzIAb3L32QPdPy/JKJbNaZhYjed8s62uhTmviRbmXsm0MANgJBfwdYRcDyLkAvAW/zijn+IiQyVJRVabftldbnJFnlVpc+nV1bv08caGLcyJ0fu1MJtYHwBzMZIL+DZCrgd1iA03uwQAUFhIkK49pbf78oL0IrkCYxC3ka0FdS3Ma5pqYU6NVlxksMkVAjADI7mAbyPkelBqYqTZJQCAHr1giMJC6t7+d5ZWa1uB1eSKzPf1tkLNWpr1hxbmYPVNia5rYWZUBwgoIcF8RAZ8Ga9gD0pNiDK7BAABrn1MmM4dnuq+/ENakYnVeJcKm7P5FuZUWpiBQMJILuDbCLkelJrASC4Ac82+dISC9n1425Jfqd1lNSZX5H3qW5jX7mqmhTmCFmbA33FOLuDbCLkeRLsyADMdlRKr43u1kyQ5XYYWpjOKeyBfba1vYa5t2MLcsa6FOZQPwYDf4hQFwLcRcj2oc0KELLxnAjDJ7KkjZNn3JrR2d5mKq+0mV+T96lqYc/TxpsYtzINpYQb8VkQoH5EBX8Yr2IPCQ4LVPoYZlgF43tj+HdSnQ4wkqdbh0tKMEpMr8i1b99a3MJc12cIcSwsz4DeCg5h4CvB1vII9rAvn5QIwwaOTh7hHcVdklahqv1FJtNxXWws0e3m29lQ0bGHuRwsz4DfCQ/jSCvB1hFwP47xcAJ72lxO6q0NchCSpvMahVTtLzS3Ix5XXOPTfn3L0yaY9qnE0noU5hRZmwKfRqgz4Pl7FHsYMywA87fYzj3L/vDijSA6XYWI1/mPLXqseX5ypdfu1MAcHWdSFFmbAp4UTcgGfx6vYwxjJBeBJ/zl7gKLDQyRJeytrtTG3wuSK/M+XtDADfoWRXMD38Sr2MEZyAXhKVFiQrhjdw335h7QiMYbbNupbmD/dtEe1TbUwx9HCDPiK8BA+HgO+jlexhzGSC8BTnrxouEL3zRCaWVylHUVVJlfk/zbvteqxxZlat7vMPaobHGRRlyRamAFfwUgu4Pt4FXtYj3bRCuLrfABtrHN8hCYM7ui+/ENakYnVBJ4vtxRo1vJs5TfRwtyTFmbAa4UEWxTMBzXA5xFyPSwiNJjRXABt7rmpRyto35JBm/IqtKei1uSKAk95jUOvNNHCnEQLM+C1ImhVBvwCr2QT9O0Qa3YJAPzYsC7xGtEtQZLkcBlatINRXDMdqIV5QGdamAFvwszKgH/glWyCPh1izC4BgB979pIRsuwbxf05p1RlNQ6TK4JU18I8+w8tzJFhtDAD3oTzcQH/wCvZBH0JuQDayMQhHdW9XZQkqdru1LLMEpMrwv7K9rUwf/brHtU6XO7ttDAD3oGZlQH/wCvZBIRcAG3lwfMGu0dxl2WWqGa/IAXv8Vu+VY8tztAvtDADXoWRXMA/8Eo2QW9CLoA2cN2YXkqKDpcklVbb9fOuMpMrwsHM31Kg52hhBrwG5+QC/oFXsgliI0LVMS7C7DIA+JGgIOnm0/q5Ly/aUSSnyzCxIrRU6b4W5rm/5tPCDJgoLNjinpUegG8j5JqkbwqjuQBazwOTBisytK7FNa+8Rr/uqTS5IhyqX/Mr61qYc2lhBszAKC7gP3g1m4QZlgG0ltiIEE05tqv78g9pLBnky+Zvrmth3lvZRAtze1qYgbbC+biA/+DVbBImnwLQWp6dMlwhQXVv52mFVmWVVJtcEY5UaY1DL69qooU5pq6FuUNcmInVAf6JmZUB/8Gr2SR9OsSaXQIAP9C9XZTGHtVBkuQyDC1gFNev1Lcwr/9DC3PXpAgN7BytGFqYgVYTEcbrCfAXhFyT9OOcXACt4LlLR7iXDNqQW6ECq83kitAWvmimhbk/LcxAq4kO42Mx4C94NZskISpMXRIjzS4DgA87tmeiBqfGS5LsTpeWZDCK68/qW5jn/ZYvGy3MQKsKDwlSSDAfiwF/wavZRMO6JJhdAgAf9tTFw92juKt2lqqi1mlyRfCETXsq9ejiDG3ILaeFGWgl0eG8bgB/Qsg10ZAu8WaXAMBHXXB0qrokRkmSrDanVmSVmFwRPO3zzXv1/IpsFTTRwtyDFmbgkESH85EY8Ce8ok3ESC6Aw3XvOYPcP/+YUSyb0zCxGpilpNqhl5poYW5HCzNwSKLDQ8wuAUArIuSaaHBqnCx80Q7gEP39tL6KiwyVJBVZbVq3u8zkimC2+hbmjc21MNOKCTTLIimSSacAv8Ir2kSxEaHq1T7a7DIA+JCwkCBdd2pv9+WFO4rkYhAX+8xrroW5U7R6tI9QCC3MQCORYcEKYtQB8CuEXJMNpWUZwCF4+PwhCg+pG5XbVVqjrXutJlcEb1Pfwvz55r1/aGEO02BamIFGmHQK8D+EXJMNZfIpAC2UFBWm80akui9/n1ZoYjXwdhvzKvT44gxtzKOFGTgQQi7gfwi5JmMkF0BLzZ46QsFBdS11W/dWaldZjckVwdu5JM37ba9eWJGtgkobLcxAEwi5gP8h5JpsUOc494dWAGhOv5QYje7dTpLkchlamF5kckXwJcXVDr20aqe+oIUZaCA4yKKIUD4OA/6GV7XJIkKD1S8lxuwyAHi52ZceLcu+iVHW7S5XUZXd5Irgizbsa2He1EQL8wBamBGAGMUF/BMh1wvQsgzgQMb0be/+MqzW4dKPmcUmVwRf5pI0d18Lc6HV5t4eRQszAhAhF/BPhFwvcHS3RLNLAODFHrtomHsUd2V2iaw2p8kVwR8UVzv04sqd+vy3fNmcTbQwx9LCDP8XHUbIBfwRIdcLHNczyewSAHipPx/XTSlxEZKkilqHVmWXmlsQ/M6GvAo9vqiJFuZ2dS3MjHTBn0WH81EY8Ee8sr1Aj/bR6rjvQywA7O+OiQPcPy/eUSy7yzCxGvir+hbmF1c2bmE+qr6FmUkS4WfCQ4IUEsxHYcAf8cr2Esf1YjQXQEN3nnWUYsJDJEkFlbXakFduckXwd0VVdS3MX/yWL/sfW5i7xCg5NtTE6oDWRZcC4L8IuV7i+F7tzC4BgBeJCgvSVSf1dF9ekF4kg0FceMj6vAo9tihDv+ZVNGhh7tYukhZm+A3+jgH/Rcj1EpyXC2B/j104TKH72uiyiquUVlhlckUINC5Jn/2WrxdXZquoiRbm7rQww8cRcgH/Rcj1Er2SY9QhNtzsMgB4gZS4cE0c0sl9+Yf0IhOrQaArqnLohZU79cXmvQ1amNvHhGkQLczwURaLFBnGx2DAX/Hq9iK0LAOQpOenHq2gfUsG/bqnQnnltSZXBEjrc8vrWpj3/N7CHEILM3xUbESI+30WgP8h5HqR45l8Cgh4Q1LjNbJ73drZTpehRYziwou4JH32a75eXLlTRVVNtDC3o4UZviE+ki9lAH9GyPUixzGSCwS8Zy8ZLsu+0YWfc8pUWuMwuSKgsaIqu15Y0UQLcywtzPANcZEhZpcAoA0Rcr1I7+QYJXNeLhCwJgxMUc/20ZKkGrtTy7KKTa4IOLD6Fubfmmph7kQLM7xTeIhFEaH8bQL+jJDrZY5nlmUgYD10wRD3KO6yrBJV210HuQVgPpekT5tqYQ6nhRneiVFcwP8Rcr3MCb1pWQYC0d9O7ql2MXWdHKXVdq3OKTO5IuDQ1Lcwf7mliRbmVFqY4T3iCbmA3yPkepkx/TuYXQIADwsKkm49vb/78uIdxXK6DBMrAg7fut3lemzJH1qYg2lhhnewWOpmVgbg3wi5XiY1IVL9U2LNLgOAB917ziBFhtV98N9TUatNeypMrgg4Mi5XXQvzy6toYYZ3iQ0PVhB/e4DfI+R6oXFHMZoLBIrYiBBNPbab+/IPaYUmVgO0rgIrLczwLnFRjOICgYCQ64XGEnKBgPH0xcMVElz3VpxeaFVmcbXJFQGtr76FeXN+4xbmo2hhhgdxPi4QGAi5Xmhk90TFR/LtNuDvuiZGavyAui+1DMPQgvQikysC2o7LJX2yqa6FuXi/FuZoWpjhIWEsHQQEDEKuFwoOsmhMv2SzywDQxp6berR7yaANeRXaW2k7yC0A31dgtev5FTv1VTMtzO1pYUYbYRQXCByEXC9FyzLg30Z1T9TQLvGSJLvTpSU7ik2uCPCstftamLfkVzZoYe6+r4U5KowRN7Qu1scFAgch10uN6ZcsurYA//X0lOHuUdzVO8tUXuswuSLA81wu6eNNe/TyqpxGLcwDOkerW7sIBfOPIVoBSwcBgYWQ66WSosM0vGui2WUAaAPnDu+srklRkqQqm1PLs0pMrggwV4HVVtfCvLVhC3NybJgG08KMVhATHswXJkAAIeR6MZYSAvzT/ecOcv/8Y2axavf7UA8EsrW7DtbCzMcWHB7OxwUCC/9aeLFxRzH5FOBvbhrfR/GRYZKk4iqb1u4qM7kiwLvs38Jc0sQszLQw43BwPi4QWAi5Xmxg53h1jIswuwwArSQkSLrh1D7uywvTi+QyTCwI8GIFVpueW7FT32zdK8e+bgeLxbKvhTla7WNoYUbLhAVbFMlEZkBAIeR6uTMGpZhdAoBW8tAFQxW+b43G3WU12rLXanJFgPf7eVe5Hl+Soa17929hDlL39rQwo2UYxQUCD/8yeLk/De1sdgkAWkFSVJgmH93Fffn7tEITqwF8i8MlfbRxj/77U45Kqu3u7bQwoyUSogi5QKAh5Hq5Y3smKSUu3OwyAByhZy8d7v4Qvm1vpXJKa0yuCPA9+ZU2Pbc8mxZmtFhIkIWRXCAAEXJ9wNlDOpldAoAj0Cc5Wif1aS9JcrkMLUgvMrkiwLfRwoyWSowOca9JDiBw8K+AD6BlGfBtz0092v0h65fcchVV2Q9yCwAHs38LcyktzGhGUjSj+0AgIuT6gKO7Jyo1IdLsMgAchpP7tlf/jrGSJJvDpSUZxSZXBPiX/EqbZtPCjCaEh1gUE0GrMhCICLk+YiIty4BPeuzCoe5R3JXZJbLanCZXBPin+hbmbbQwYx9GcYHAxTu+jzh7KCEX8DWXHttNneLrujAqah1aubPU3IIAP+dwSf87UAtzUoSC+eQTMJIYxQcCFm/1PmJ41wR1TaJlGfAl/554lPvnJRnFsjsNE6sBAkd9C/O32woatjDHhWlwaozaEX78XlRYkCL2rUsOIPAQcn3In4YwARXgK24/s79iIuo+SBdabVqfW25yRUDgWZ1TpseXZGh7gbVBC3OP9pHq3ymKFmY/xiguENh4d/chtCwDviEiJEhXn9TLfXlBWqEMBnEBUzhc0ocb8vTq6oYtzDHhIbQw+zHOxwUCG2/rPmRwarx6tIsyuwwAB/HYRcMUFlL39ppdUq3thVUmVwRgT8V+Lcyuum+daGH2T3ERwQrlmwsgoPEO4GPOG5FqdgkADiA5Jkx/2m829B/SCk2sBsAfrc4p0+OLdzTbwhxJC7PPo1UZAO/kPubCkV1kYW17wGs9d9nRCgqqe5H+tqdCueW1JlcE4I8O1MI8oFO0utLC7LOCLFJCFCEXCHS8hfuYLolRGt27ndllAGjCwE6xOrZHkiTJ6TK0aEeRyRUBOJD6FubvtzdsYe4QF6ZBtDD7pPioEAUHMRoABDpCrg+aMqqr2SUAaMKsS4+WZV+rxZpdZSqpdphcEYCWWLWzroU5bb8W5tD6FuaOtDD7EiacAiARcn3ShEEdFR/JmzjgTU4b0EG9k6MlSTUOp5ZmFptcEYBD4XBJH2zI02urc1S2fwtzBC3MviIkyKL4yBCzywDgBXi79kHhocFMQAV4mUcuGOoexV2eWaJqu8vkigAcjrwKm2Ytz9b32wtpYfYxidEh7vdhAIGNkOujLh7VxewSAOxz9Yk91T42XJJUVmPX6pwykysCcKRW7Syta2EupIXZV9CqDKAe79A+alDneA3qHGd2GUDACwqS/jGhn/vy4h3F7tEfAL7N4ZI+WE8Lsy8IC7EoJoJWZQB1eGv2YVOOYQIqwGz3/GmQosLqPljlV9RqU16FyRUBaG31Lcw/pNHC7K3aMYoLYD+EXB927vBUhYfwKwTMEh0Woj8f1819+Ye0QjGGC/ivldl1LczptDB7nfaxYWaXAMCL8G7sw+IjQzVhUEezywAC1tNThilkX6/ijqIqZRRXm1wRgLbmcEnvr8/T66t3qayGFmZvkBgdojC+9AewH94RfBwty4A5UhMjdNrAFEmSYRhakFZockUAPCm3olazltW1MDubaGFmEiTP6RDHKC6Ahgi5Pu7EPu3VvV2U2WUAAef5qUcraN9SFRvzKpRfaTO5IgBmWJldqieaaGHumbyvhTmUj1ptKSosWDHhTDgFoCHeef3A5cd3N7sEIKAc3S1Rw7okSJIcTpcW7yg2tyAAprLta2F+4+ddKq9xuLfHRIRoQOdodUkKp4W5jaQwigugCbzl+oGLR3VVVFiw2WUAAeOZKcNk2TeKuzqnTOW1joPcAkAg2F1eq2eXZWnBH1qYU+LCaWFuA6HBFiVGM4oLoDFCrh+IiwzV+SNSzS4DCAjnDOukbu2iJUlVNqeWZZWYXBEAb7NiXwvzjqLGLcz9aGFuNcmxYe4vHAFgf7zL+om/nNDD7BKAgPDAuYPdPy/NLFatw2ViNQC8lc0lvfdL4xbm2P1amIPIZ4fNYpHaxzIyDqBphFw/0b9jrE7o3c7sMgC/duPYPkqIqjv/q6TKrrW7ykyuCIC3q29hXphW1KiFeXAXWpgPV1J0qEI50RlAM3h38CNXju5hdgmA3woJkm4c18d9eeGOIjkNEwsC4FOWZ5fsa2GuooW5FbBsEIAD4R3Vj5w2IIXlhIA28uB5QxQRWjfB2+6yGm3OrzS5IgC+pq6FOVdz1tDCfCRiwoOZcBPAARFy/UhQkEXTGM0FWl1CVIguGtXVfXlBepGJ1QDwdbvK6lqYF6XTwnw4GMUFcDCEXD9z8aiuiotgOn2gNT17yQgF7xte2V5gVXZJtckVAfAHy7LqWpgzmmlhjqCFuZGwEIsSovicA+DAePf0M9HhIZpyTDezywD8Rq/kaJ3SN1mS5DIMLUgvNLkiAP7E5pLe3dfCXPGHFuaBnaPVJZEW5v2xbBCAliDk+qFpJ/ZwjzoBODLPXTrC/YFq/e5yFVrtJlcEwB/tKqvVM8uytGjHH1qY48M1ODVGSdGMXgZZpPaxtCoDODhCrh9KTYjUn4Z2MrsMwOeN7t1OAzrFSZJsTpeWZBSbXBEAf7css0RP/JjZsIU5JEg9k6MCvoW5XUyoQvgSH0ALBO47pZ+7YWwf0c0DHJknLhrmHsVdlV2qSpvT5IoABAKbw7WvhXm3KmppYa6XzCgugBYi5PqpfimxOmNgR7PLAHzWxaO6qHNCpCSpstahldklJlcEINDsKqvRM0uztLiZFubEAGphjosIViTLBgFoIUKuH5s+ro/ZJQA+6+4/DXT//GNGsWxOw8RqAASypftamDOLG7Yw9wqgFuYO8eFmlwDAh/j/u2IAG5war1P7J5tdBuBz/jmhv2Ij6tapLLTa9EtuuckVAQh0NodL76zL1VsB2MIcHR6s+MjAGbUGcOQIuX7upnF9zS4B8ClhIUG65uRe7ssL04vkYhAXgJfYua+FeUkTLcyD/LSFuXMCo7gADg0h188d3T1RJ/RuZ3YZgM94fPJQhYXUvTXuLK3WtgKryRUBQGM/NtHCHOaHLcwxEcGKYxQXwCHyj3dAHBDn5gItkxwTpnOGdXZf/mF7oYnVAMCBHayFOdUPWphTGcUFcBgIuQFgdO/2Gtk90ewyAK83e+rRCtr3iXBzfqV2l9eaXBEAHFx9C/OPGQ1bmDv6eAtzXGSwYiJ8s3YA5iLkBogbxzKaCxzIUZ1idVzPJEmS02VoUXqRyRUBwKFZktF8C3PfFN9rYe6cEGF2CQB8lG+92+GwjT2qgwanxpldBuC1Zl8yQhZL3Sju2l1lKq62m1wRABw6dwvz2t2q3K+FOS7St1qY4yNDFB3OurgADg8hN4DcOJaZloGmjO3fQX06xEiSah0uLc0sNrkiADgyO0tr9PSBWpijvLsNuHMi5+ICOHyE3ABy5uCOGpIab3YZgNd57MKh7lHc5VklqrK7TK4IAFrHkowSPfVjprJKqhu2MHfw3hbmxKgQRYUxigvg8HnfOxva1O1nHmV2CYBXmTa6h5Jj60YMymsc+mlnqbkFAUArq3G49Pba3Xp7nW+0MHdiRmUAR4iQG2BO6tteJ/Vpb3YZgNf414T+7p8X7yiSY19bHwD4m+wS729hTooOVSSjuACOECE3AN1+5lGyeNE3toBZ7vnTQEWH132oy6+o1ca8CpMrAoC2V9/CnO2FLcydGcUF0AoIuQFoSJd4/WlIJ7PLAEwVHRaiv5zQ3X15QXqRGMMFEChqHC69ta+F2WrzjhbmdjGhCvfCc4QB+B7eSQLUP87or9BghnMRuJ68eKhCguveAjOKqrSjqMrkigDA87JLavTUj1la2kwLc4KHWpgtYhQXQOsh5AaoHu2jNeWYbmaXAZgiNSFCZwzq6L68IL3IxGoAwHyLm2lh7r2vhbmtR1jbx4YqLISPpQBaB+8mAezm8X2Yoh8BafbUoxW078T0TXkV2lNRa3JFAGC++hbmd9blerSF2WKROsYzigug9RByA1hybISuPqmn2WUAHjWia7xGdE2QJDlchhbtYBQXAPaXVVJd18KcWSzXvhbmoDZsYU6ODWMUF0Cr4h0lwF1zSi8lRYeZXQbgMU9fMkKWfaO4q3eWqqzGcZBbAEBgWryjWE/+mKmdbdjCHGSROsbzOQRA6yLkBrjYiFDdMLa32WUAHnH2kI7qnhQlSaq2O7U8q8TkigDAu9U4XHpz7W6920wLc+eEI2th7hgfrtBgPo4CaF28q0CXH99D3dtFmV0G0OYeOG+IexR3aWaJahwukysCAN+Qua+FedkfWpg7JRx+C3NYiEUpjOICaAOEXCgsJEj3/Gmg2WUAber6U3u7W/NLqu1ak1NqbkEA4IMWHayF+RDOre2aFOGeBBAAWhMhF5Kk8QNSNLZ/B7PLANpESJB08/i+7suL04vkNEwsCAB82AFbmFNb1sIcFxmshKjQNq4UQKAi5MJtxjkDD+kbWMBX3H/uYEWE1i2XlVteo1/zK02uCAB8X30L8/JDbGG2qG4UFwDaCokGbj3aR7OkEPxOXESILj6mq/vyD2ksGQQArWlhfQtzaeMW5j5NtDAnx4W5v3gEgLZAyEUDN47ro07xfLsK//HspSMUElT3VpdWaFV2SbXJFQGA/6lxuPTmmt1695dcVdmc7u3xf2hhDgm2qHNCuImVAggEhFw0EBUWorsmDjC7DKBV9GwXpVP7JUuSXIahBYziAkCbyiyu1pM/ZmpFVolcRsMW5oGpMerZPlLBR7LmEAC0ACEXjZwzrLNO6NXO7DKAIzZ76tHuJYM25JarwGozuSIACAwL0ov09JJM5ezXwhweEqS4yENfaggADhUhF02aMWkg37TCpx3fK0mDOsdJkuxOl5ZkFJtcEQAEliqHS3PW7Nb7f2hhBoC2RshFk47qGKfLj+9udhnAYXvyouHuUdxV2aWqqOUDFgCYYUdxtX7M5ItGAJ5DyEWzbj29n9pFh5ldBnDILjw6VamJkZIkq82hFdklJlcEAIErJixYY3tzGhQAzyHkollxkaFMQgWfdM85g9w//5hRIpvTMLEaAAhsp/dr32gZIQBoS7zj4IAmj+yik/u2N7sMoMVuPb2v4iJDJUlFVpvW7S4zuSIACFw9kyI1uGOs2WUACDCEXBzUwxcMUVQYi7bD+4WFBOnaMb3dlxemF8nFIC4AmCLYIp3VP9nsMgAEIEIuDqpLYpT+NaG/2WUAB/XIBUMUHlL3hUxOabW2FlhNrggAAtdJPZOY2wOAKQi5aJErTuiho7slml0G0Kz2MWE6d3iq+/IPaUUmVgMAga1jbJhO7MHnBgDmIOSiRYKCLHp08hCFBfMnA+8069IR7rWdt+yt1K6yGpMrAoDAFGSRJg1Mcb8nA4CnkVjQYn1TYnXDuD5mlwE00j8lRif0qluewuUytDCdUVwAMMvJPZOUEhtudhkAAhghF4fk/07traOYJRFeZvbUo2Wx1I0YrN1dpuIqu8kVAUBg6hgbrpNoUwZgMkIuDklocJAenTyUFiR4jVP7J6tvhxhJUq3DpR8zSkyuCAACU12bcgcF8RkBgMkIuThkw7om6KoTe5pdBiBJenTyUPco7orsElXZnSZXBACB6RTalAF4CUIuDss/zuin7u2izC4DAe7y47spJS5CklRR69BP2aXmFgQAAapjbDizKQPwGoRcHJaI0GA9cdEw0ZEEM91x1gD3z4t3FMnuMkysBgACU7BFOncQbcoAvAchF4ftmB5Juv5UZluGOf498ShFh4dIkvZW1mpDXoXJFcFTfnz/Jb10wwV6cNJwPXrRcXpvxvUqzMlodv/Pn/mP7jm9r1Z8+kaL72PTovm65/S+em/G9Q22b1gwT09MPVkPXzBK377ySIPrSvbs0rPTTleNlb9FBJZTeiWpQwxtygC8ByEXR+SW0/pqaJd4s8tAgIkKC9K0/c4LX5BWJINB3ICRtXG1jpt0ma6Z9ZGueGSOXE6H3rzjStmqqxrtu2X599q1ZYNi26W0+Pil+bv17SuPqPuQUQ22W8uKNe+pf2vCNXfoLw+/rvXff6ZtPy1yX//FrBk6/ep/KiKaGegRODrFhmt0d9qUAXgXQi6OSGhwkJ6ZMlxRYcFml4IA8sRFwxUaXPf2lVlcpfSixuEG/usvD7+uERMmq0OPvurYe4DO/+cjKtubq9y0XxvsV164R18+d58uvPMpBYeEtOjYLqdTHz/8D439y81K7Ni1wXUleTmKiI7VkFPPVmr/oeo57HgVZKdLkjYu/FwhIaEaePKE1nmQgA8ItkiTaFMG4IUIuThivZJjdPefBppdBgJEp7gInTm4o/vygrQiE6uBN6ixVkqSImMT3NtcLpc+efRfOvGiv6pDj74tPtbid55TdEKSRp51UaPr2qX2kL22Wnnpv6mqvFS7t21USs+jVFVeqoVvPquzb5xxxI/l/9u78/io6wP/4+85M0eSyX2Qg4SEUwIhnEbAC6SIVoFSBMR6VDzr+tv16M/fttq6a6FWa0F/urpbxa52bZetunWtP0GxRWuLFlFAJEC4AwESQu5r5vdH4mgqlsMkn5nvvJ6PRx7MfGfyzTvhkW/mPZ/v9/MBosm5g1I5TRlARDq1t7aBk1gwIV9rP6nWa5sPmY4Ci3t00RjZu5cM2nSwXlX1rYYTwaRQKKTfPfGA8keOU2bhkPD2dS88KbvdoUmzv3XK+9q96X395Xe/1k1PvHzCx70JAc2+88datewudbS1aPT02Ro8fop+85PvauJli1V7cK+e+/4NCnZ26PzF39FZU2d+5e8PiFQFyV6VFySZjgEAJ0TJRa/50ZxR2rDn96qmdKCPlOQEVJbfde1XRzCkN7czihvrXlnxAx2q/ETX/fSX4W0Htm3Su79ZqRv/74vhNZRPprWpQauW3aGv/69/lj+Q8qXPGzH5Io2YfFH4fuXGP+lQ5TbNuvVe/exb0/SNex5WQkq6/uXWuRpYMkHxyaln/s0BEcrvdujykZmn/PsFAP2Nkotek+J36yfzRutbT/+ZSYDQJ5YvGBN+UbV+7zEda+kwnAgmvfLoD7X13TW67qHnFUjPDm/ftWm9Go8d1cOLzg1vCwY79dq/LNW7/7VSf//va7+wr5oDe3Ts4D49/70bwttCoaAk6b4Zw3Tb068pZcDAHp/T0daq3y6/V3O/+5BqDuxWMNihwtETJUmpuYXat/UDDTv7wt78loGIcNlZmUqI4yUkgMjFEQq9auqQdF1TXqCfv73LdBRYzMyRWSpI9UmSmts7ta6y1nAimBIKhfTKoz/Ux2+/rmt/8u9Kzu45QVTptMtVNOacHtue/d/XavS0y1Q2Y+4J95mWX6Rbnnylx7Y1z/xUrU2Nuvjmf1Ti50r0p9Y+95gGjz9XAwafpartmxXs7Aw/FuxoVygYPNNvEYhY5QOTVNR9LAaASEXJRa+7+2vD9Pb2o/rkEGtFovf80+Ujw6O46ypr1dJBgYhVv11xnz5647+14AePy+3zq77msCTJ40+QK84jX2KyfIk9lzRxOJ2KT0lTWt6g8LZVy+5UYlqmpl93h1zuuB7X9H66P0lf2C5J1bsqtGnt/+jm7ut30/KKZLPZ9f6rv1Z8SpqO7N2pnKElvfp9A6blBjw6v4hT8AFEPkouel2cy6GfLSjVZY++rVaKCHrBkqmFSu2ewfNYc7vW76sznAgmrf/v5yVJT99xZY/ts+9YqjFfMlJ7InXVB87omsJQKKSXfvqPmnnTPXJ7u0a0XHEezb5zqX674gfqbG/TrFvvVWJa1kn2BEQPj9OuOSWZLBcEICrYQiGunkTfeGH9Xt296kPTMRDl7HZp831fk7d7LeYXNx3URwcbDKcCgNjyzVFZGpoRbzoGAJwS1slFn5k/Pk/fHJd38icCf8MPLh0ZLrhVx1souADQz8bnBSi4AKIKJRd96v7LztJZAxJNx0CUSvA4tWDCZ2+UrK5gySAA6E9ZCXGaPjjNdAwAOC2UXPSpOJdDjy8aq0Qvl3/j9D0yv1ROR9dhavuRRu2qbTacCABih9th09ySTDm4DhdAlKHkos/lp/r00LxSsWY8Tkd+ik8XDMuQ1DXRz5rtjOICQH+aNTxDKT636RgAcNoouegX00dk6qZzi0zHQBR5dOGY8My3G6vqVd3QZjgRAMSOMQMSNTIrwXQMADgjlFz0m3+4aKjKWV8Pp2B8QbJKcgKSpPbOoNbuYBQXAPpLTmKcvjYs3XQMADhjlFz0G4fdpuULxigzMc50FES4n84vDY/i/mnPMdW3dhpOBACxISHOoXmjs+XkOlwAUYySi36VFh+nxxaW8ccTX2r2mBzlJvskSY1tnXpn1zGzgQAgRjjtNn1zVLYS4pgsEkB0o+Si340rSNE9Fw83HQMR6r6vnxW+/YfKGrV2Bg2mAYDYccnwDA0IeEzHAICvjJILI66dXKh543JNx0CE+bsLByvgdUmSjja16f19dYYTAUBsOHtgkkqymWgKgDVQcmHMP19eoomFKaZjIEK4nXbdfP5nM3C/uf2ogiGDgQAgRhSn+nRhMRNDArAOSi6McTvteuLKscpP8ZmOggjwwOUlinM6JEn76lr0cXWj4UQAYH2pPpdml2SGJ/sDACug5MKoZL9bP796vBI9THIRy1J8bs0uywnfX73tiME0ABAbPE675o/Olqf7DUYAsApKLowrzojXowvL5GDG5Zi1fEFp+P9/a3WD9ta1GE4EANZms0mzR2Yq1e82HQUAeh0lFxFh6pB0ff+SEaZjwIDBGfE6pzhNkhQMhvTG9qOGEwGA9V1YnKriNL/pGADQJyi5iBjfKi/Q4kkDTcdAP1uxcEz4WrC/HDiuo03thhMBgLWNyk7Q2QOTTccAgD5DyUVEuffSEZoyOM10DPSTcwenaWhm15IVbR1B/X5njeFEAGBteQGPZg3PMB0DAPoUJRcRxemw67GFZSpKjzcdBf1g2TdGh0dx39ldq8a2TsOJAMC60v1uzS/NlpM5MABYHCUXESfR69LPrx6nFCbDsLSFE/OVFfBIkupbO/TunmNmAwGAhSXGObVgTLa8LmZSBmB9lFxEpIGpfj199Xj53fwxtqp7Zg4P335rR43aO0MG0wCAdXmcdi0cM0ABj8t0FADoF5RcRKzReUl6YvFYuRycVmU13505TPHdayMfbmjTB1XHDScCAGty2m2aX5qt9HjOjgIQOyi5iGhTBqfr4W+WykbPtQyP067rzikM31+z/YhCDOICQK+z2aQ5JZnKT/KajgIA/YqSi4h36egBuvfSs0zHQC95cN5ouZxdh57dtc2qONJkOBEAWNPFQ9M1lIkcAcQgSi6iwtXlBbr1gmLTMfAVZSbGaVZJdvj+6oojBtMAgHVNHZSistyA6RgAYAQlF1HjjouGauGEfNMx8BWsWFAme/fSFZsP1uvA8VbDiQDAespyEnXuoBTTMQDAGEouosr9l4/U10ZmmY6BMzByQKLGFyRLkjqDIb2x46jhRABgPUPT/Zo5LN10DAAwipKLqOKw2/SzK0p19qBU01FwmpYvGCNb9wxi6/fV6Vhzh+FEAGAteUkezRmZKTuzNQKIcZRcRJ04p0NPXjVWZw1INB0Fp+iiEZkqTPNLklraO7WussZwIgCwlsx4t+aPzpbTwUs7AOBIiKiU4HFp5bUTNDiDWSOjwQNzSsKjuG/vqlVze9BwIgCwjox4t64sy5HX5TAdBQAiAiUXUSstPk7PXz9JxRTdiPbtKYVKi4+TJNW1tOvPe+sMJwIA68jwdxVcn5uCCwCfouQiqqUnxOmX109UUbrfdBScgN0u/f30IeH7a3fUqCMYMpgIAKwj3e/WlWNz5KfgAkAPlFxEvfQEj355/SQNSqPoRpp7LzlLPrdTknSwvlUfVdUbTgQA1pDud2vx2AEUXAA4AUouLCEj0aNfLpkUntwI5vndTi2a+Nm6xqsrjogxXAD46tJ8Ll1ZNkD+7jcRAQA9UXJhGZmJXSO6A1N9pqNA0iNXjA7P8rnjaJMqa5oNJwKA6Jfqc2nx2BzFx1FwAeDLUHJhKVmBrqKbn0LRNSk32asLh2dKkkKhkNZUHDGcCACiHwUXAE4NJReWMyDJq18umaS8FK/pKDHrsYVlsncvGfRhVb0ONbQZTgQA0S2lu+AmUHAB4KQoubCknCSvfnn9JOUmU3T727iByRqVG5AkdXQGtXZHjeFEABDdUrwuLS6j4ALAqaLkwrJyk336jyWTVMA1uv3q4fmlsnWP4v5pb52Ot3YYTgQA0SvZ2zWCm+ih4ALAqaLkwtJyk3369Y3lGpGdaDpKTPj66Ozw9dBNbZ16u7LWcCIAiF7pfreuouACwGmj5MLy0hPi9B9LJmncwGTTUSzvh5eNDN/+Q2WNWjuDBtMAQPTKDXj0rXEUXAA4E5RcxIREr0u/uG6izhuSbjqKZX3ngmIl+dySpJqmdr23r85wIgCITkWpPl1ZNkBel8N0FACISpRcxAyv26GnvjVOl4zKNh3Fcpx26Zbzi8P339x+VMGQwUAAEKVGZsVr/uhsuRy8RAOAM8URFDHF5bBr+RVjtHBCvukolvLA7FHydI847K9r0ZbqBsOJACD6TMgLaPbILDnsNtNRACCqUXIRc+x2mx6YU6Kbzi0yHcUSknxOzR2bG76/uuKIwTQAEJ3OK0rRjKFcUgMAvYGSi5h198xh+u7MYaZjRL3lV5SFRx22HW7UnmMthhMBQPSwSbp4WLqmFKaYjgIAlkHJRUy78dwiLZ1bIs4MOzNF6X5NGZwmSQqGQlrDKC4AnDKHTZpTkqWxuQHTUQDAUii5iHlXjM/Xk1eNk8/NLJana8WCMbLZut4h2LD/uI40tRtOBADRwe2wacGYARqRGW86CgBYDiUXkDRteKZ+dcPZykyMMx0lapxTlKrh2YmSpLaOoH6/s8ZwIgCIDj6XQ4vH5qgwxWc6CgBYEiUX6DYyJ6AXbzlHI7qLG/62n8wbHR7F/eOeY2po6zScCAAiX5rPpWvG52hAosd0FACwLEou8DnZAa9+fePZumBYhukoEe2KcXnKTvJKkhpaO/Tu7lrDiQAg8hWl+nTNhFyl+NymowCApVFygb/ij3PqqavG6eryAtNRItb/uWR4+PZbO2vU1hkymAYAIt+EvICuKM2Wx8n8DwDQ1yi5wAk47Dbd9/WzdO+lI5h5+a/cNWOoEjwuSdKRxjZtOHDccCIAiFx2mzRrWLpmDE2X3cYfFADoD5Rc4G+45pxCPXXVOPmZeVmS5HHa9e0pg8L312w/qhCDuABwQl6XXYvKclTGEkEA0K8oucBJXDg8U7++8WxlMUmIfvyNUXI7uw4be2qbte1wo+FEABCZ0nwuXTs+VwXJXtNRACDmUHKBUzBiQNfMy2PykkxHMSY93q1LRg0I33+94ojBNAAQuZhgCgDMouQCpygr4NELN5ythRPyTUcx4tGFZbJ3X6C85VC9DhxvNZwIACIPE0wBgHmUXOA0uJ12PTCnRD/+xijFOWPn12dEdoImFKZIkjqDIb2xvcZwIgCILHabNGs4E0wBQCSInVfpQC/65rg8/eeN5cpJio1rrZYvKJOt+0Xbe/vqVNvcbjgRAEQOn8vRNcFUDhNMAUAkoOQCZ6gkN6D//s5kTS5OMx2lT104PENF6X5JUktHp9ZVMooLAJ/KT/JoyaQ8JpgCgAhCyQW+ghS/WyuvnaCbzi0yHaXPLJ0zKjyK+86uY2pqDxpOBACR4ZyCZC0em6OEOKfpKACAz6HkAl+Rw27T3TOH6fEryxRvsRc615QXKD0hTpJU19KuP+05ZjYQAEQAr8uuK0qzdUFxKtffAkAEsoVCoZDpEIBVbK9u0A2/eE87LLB+rN0ubbpvhnzuruL+0uZD+rCq3nAqADArN+DRnJJMBTwu01EAAF+CkVygFxVnxOulWyfrstIBJ39yhPverBHhgnuovlUfUXABxLhJ+Um6amwOBRcAIhwlF+hl8XFO/eyKMXpo3mj53dG5TqLf7dTiSQPD99dsPypO+QAQqzxOu745OkvTh6TJYef0ZACIdJRcoI/MHZur3942RaNyo29JiYfnj5bT0XV42Hm0STuONhlOBABmZCfG6dsT8zQ0Pd50FADAKaLkAn2oMM2vVTeV64apgxQtc5PkJHk0fURm+P6a7UcMpgEAc8bnBXTNuFwlezk9GQCiCRNPAf1kXcUR/f2vPlB1favpKH/Tb24u15j8ZEnSh1XH9dLmasOJAKB/eZx2zRqeoRGZjN4CQDRiJBfoJ5MHp+nVv5uiC4ZlmI7ypcryklSalyRJ6ugMau2OGrOBAKCfFaX6dOPZ+RRcAIhijOQCBjz9dqWWvrpVrR1B01F6eOvO8zQw1S9JemdXrdZsP2o4EQD0D7fDpumD01QWhfMoAAB6YiQXMOCacwr14i3naHBG5IwUXDIqW/kpPklSc3un3t5VazgRAPSP/CSPlkzMp+ACgEUwkgsY1NrRqZ+trtC//H6nOoNmfxU3fG+6kv1uSdL/23ZYf9pTZzQPAPQ1p92m84tSNTE/IFu0zA4IADgpRnIBg+KcDt31tWH6r5vKNcTg9V83n1cULri1ze16by8FF4C1ZSfE6dsT8jRpYBIFFwAshpFcIEK0dQS14o0KPb52hzr6cVTXaZc2/eBr8rgckqT/+uigNh9q6LevDwD9yW6TphSmaHJBsux2yi0AWBEjuUCEcDvt+oeLhurFW87R8OyEfvu6/3R5SbjgHqhroeACsKx0v1vXjs/V1EEpFFwAsDBGcoEI1N4Z1GNvbtdjb25Xe2ff/Yomepza8P2L5Oh+sffs+/u1u7a5z74eAJhgkzQxP0nnF6XI6eD9fQCwOkouEME+rjquO369UZsPHO+T/T9zzXidN7Rr3d5thxv1wsaqPvk6AGBKVkKcZg1L14CAx3QUAEA/oeQCEa6jM6gn3tqp5Wsq1NbZe+vqDkrzac0/nCebzaZgKKQn392rw41tvbZ/ADApzmHXeUUpGpcXkJ2JpQAgplBygSix43CD7nt5s/5QcaRX9vfKbZN11oCuNSH/sr9Or3x8uFf2CwCmjciI10VD05QQ5zQdBQBgACUXiDKvfFil+3+7RQePt5zxPs4elKrnr58om82mts6gHnt7txraOnsxJQD0v2SvSzOHpaso1Wc6CgDAIEouEIUaWzu0fE2Ffv525RlNTPXOdy/QgCSvJOn3O2v01s6a3o4IAP3GYZPKC5I1uSCZiaUAAJRcIJpVHKrX91/erD/uOHrKnzNvXK4e/MZoSVJjW4cefXu32vpwBmcA6EsFyV5dPCxdqX636SgAgAhByQUs4OUP9uufXvlY1fWtJ33uh/depESvS5L0P1ur9f6+vpm5GQD6kt/t0PTBaSrpx3XFAQDRgRkZAAv4emmOLhieqZ++vk0r39mljuCJ37u646Ih4YJ7tLFNG/ZTcAFEF5tNKstJ1AVFqfK4HKbjAAAiECO5gMVsPXhcP3h5i/64s+cpzG6nXZvumyG3s+t6tV9trNInhxtNRASAM1Kc6tO0wWlKj+fUZADAl6PkAhb1+pZDWvrqx9rRXWR/On+0Zo/JlSTtPdasZ97bbzIeAJyyrIQ4TRucqsIUZk0GAJwcJRewsI7OoJ770x79+7u79drtU2W32yRJT6/fp311Z74EEQD0h4DHqfOLUrnuFgBwWii5QAwIhkKy27oK7seHGvSfHx00nAgAvlyc067JBcmakBdgSSAAwGlj4ikgBnxacCWpuqFVNkm8uwUg0tht0tjcgKYWpsjnZlIpAMCZYSQXiEGHG1r1xvaj2nakyXQUAJAkDc/w6/ziVKX6mFQKAPDVUHKBGLbnWLPWVBzl+lwAxuQGPJo2OFV5SV7TUQAAFkHJBaBthxv11s4aHaxvNR0FQIzIDXg0pTBZxWl+01EAABZDyQUQVnGkUesqaxnZBdBn8pM8mlKYokGpLAcEAOgblFwAX1BZ06Q/VNZqd22z6SgALKIg2aupg1I0MJnTkgEAfYuSC+BL7TnWrD/srNXOGiaoAnBmBqX4NHVQMtfcAgD6DSUXwEntr2vRusoaZmMGcMoGp/k0pTBFOQGP6SgAgBhDyQVwyg7Wt2pdZY0+rm40HQVAhBqa7teUwmRlJ1JuAQBmUHIBnLbDDW1at6tGmw81iCMIALtNGpEZr/KBycpMiDMdBwAQ4yi5AM7YseZ2vbevThv2H1dLR9B0HAD9zOdyaGxuosbmBpQQ5zQdBwAASZRcAL2gvTOojw7Wa/3eOlU3tJmOA6CPZSW4NSEvSWdlJchpt5mOAwBAD5RcAL1qV02T1u+t0ydHGjmVGbAQm63retsJeUksAwQAiGiUXAB94tNTmT84cFzN7ZzKDEQrj9OuMTmJGpcbUJLXZToOAAAnRckF0Kc4lRmITml+lybkJWlUdoJcDrvpOAAAnDJKLoB+s6u2Wev3HNO2I40KcuQBIo7DJg1J92tMTkBFqT7TcQAAOCOUXAD9rqG1Q5sONmhj1XFGd4EIkJUQp9IBCRqZlSCvy2E6DgAAXwklF4BRB+tbtfHAcW06WK8mrt0F+o3P5VBJdoJGZyewti0AwFIouQAiQmcwpO1HGrWxql4VnM4M9Am7TRqc5tfo7AQVp/nlYPkfAIAFUXIBRJymtk5tOlivjVX1OljfajoOEPUy4t0anZ2okux4+d1O03EAAOhTlFwAEa26oVUbD9Rr08F6NbR1mo4DRA2/26HhGfEqHZCg7ESP6TgAAPQbSi6AqBAMhbS7tllbqxv1yeEG1bdSeIG/lhjn1LAMv4ZlxCs/ySObjdORAQCxh5ILICrtq2vR1uoGba1uVG1zu+k4gDEpXle42OYEGLEFAICSCyDqHapv1dbDjfqkukGHWJIIMSDD7w4XW2ZGBgCgJ0ouAEupaWrvGuE93Kj9dS2m4wC9JjshTsMz4jUsw69Uv9t0HAAAIhYlF4Bl1bd26JPqRlUcadTu2ma1sy4RoojLbtPAZK+KUn0aku5XktdlOhIAAFGBkgsgJnQGQ9pb16LKmibtPNqkqvpWcfRDpMnwuzUo1aeiVJ/yk71yso4tAACnjZILICa1tHdqV22zdtY0qbKmWTVNTF6F/hfvdqggxavCFJ8GpfiU6GENWwAAvipKLgBIOtbcrsqaZlV2l96mdpYoQu+Lc9o1MNmrwmSvClO8So9n0igAAHobJRcATuBgfasqa5q0v65F++paWJcXZyQxzqmcQJxyA17lJXmUnRgnO2vXAgDQpyi5AHAKjrd0aP/xFu2v6/qoOt7KRFbowWm3KTsxTrkBj3ICHuUkejj9GAAAAyi5AHAGgsGQDjW0av/x1nDxPcp1vTEl2etSbiCuq9AGPMqMj5ODiaIAADCOkgsAvaS5vVP761p04HirqupbdbihTcea28VBNrrZ1FVo0+Pdyoh3a0CiR7kBj3xuh+loAADgBCi5ANCH2juDOtLYpsONbTrc0Ba+XdvcYToaTiDJ41R6vFvpfnd3qY1Tqs8ll8NuOhoAADhFlFwAMOCvy++n/x5rofz2h8S4nmU23d/14XZSZgEAiHaUXACIIG2dQdU1t6uupeNzH933mztU39Yhjtp/m01SQpxTAY9TAa9TAY+r67bns9uUWQAArIuSCwBRJBgM6Xhrh47/dQFu6drW1N6plvZOdVr0yO6wSV6XQ16XQwlxjs8K7OfKbGKcU3YmgAIAIGZRcgHAgto6gmru6FRze1DN7Z/929IeVFN7p5o7um5/+lhrR1AdwZA6QyF1dv/b238d7DbJYbPJYe/+sNnkdtrkdTrkdTvkddq7C6w9XGQ/u22X1+lgBBYAAJwUJRcAcEKhcOFVuPh2BkM9b4ckhSSHXeHi+vkS2/Vv12M2G6OrAACg71FyAQAAAACWwXlfAAAAAADLoOQCAAAAACyDkgsAAAAAsAxKLgAAAADAMii5AAAAAADLoOQCAAAAACyDkgsAAAAAsAxKLgAAAADAMii5AAAAAADLoOQCAAAAACyDkgsAAAAAsAxKLgAAAADAMii5AACg1xQUFOiRRx4xHQMAEMMouQAARImrr75aNptNS5cu7bH9xRdflM1m69cszzzzjJKSkr6wff369VqyZEm/ZgEA4PMouQAARBGPx6Nly5aptrbWdJQTSk9Pl8/nMx0DABDDKLkAAESRadOmKSsrSz/60Y++9DnvvPOOpk6dKq/Xq7y8PN12221qbGwMP15VVaVZs2bJ6/WqsLBQzz///BdOM3744YdVUlIiv9+vvLw83XzzzWpoaJAkrV27Vtdcc43q6upks9lks9l03333Sep5uvKCBQt0xRVX9MjW3t6utLQ0Pf3005Kk1tZW3XbbbcrIyJDH49HkyZO1fv36XvhJAQBiFSUXAIAo4nA49MADD2jFihXat2/fFx7/6KOPNGPGDM2ZM0cffvihXnjhBa1bt0633npr+DlXXXWVDhw4oLVr12rVqlV68sknVV1d3WM/drtdy5cv16ZNm7Ry5Uq98cYbuuuuuyRJ5eXleuSRR5SYmKiqqipVVVXpjjvu+EKWRYsW6eWXXw6XY0l67bXX1NjYqLlz50qS7rrrLq1atUorV67UX/7yFxUXF2vGjBmqqanplZ8XACD2UHIBAIgys2fPVmlpqe69994vPPbggw9q4cKFuv322zV48GCVl5dr+fLlevbZZ9XS0qKtW7dq9erVeuqppzRx4kSVlZXpX//1X9Xc3NxjP7fffrvOP/98FRYW6oILLtD999+vX/3qV5Ikt9utQCAgm82mrKwsZWVlKT4+/gtZZsyYIb/fr9/85jfhbc8//7wuvfRSJSYmqrGxUY8//rgefPBBzZw5UyNGjNBTTz0lr9erf/u3f+vlnxoAIFZQcgEAiELLli3TypUrtWXLlh7b33//fT3zzDOKj48Pf8yYMUPBYFCVlZX65JNP5HQ6VVZWFv6c4uJiJScn99jPm2++qenTpysnJ0cJCQm66qqrdPTo0R6nPZ+My+XSvHnz9Nxzz0mSGhsb9dJLL2nRokWSpB07dqi9vV3nnHNOj8+ZMGGCPv7449P+mQAAIFFyAQCISlOnTtWMGTN0zz339NgeDAZ1ww036IMPPgh/bNy4URUVFSoqKlIoFDrh/j6/fffu3br44os1cuRIrVq1Su+//74ee+wxSV3X1J6ORYsWafXq1aqurtaLL74oj8ejmTNn9viafz0zdCgU6vfZogEA1uE0HQAAAJyZpUuXqrS0VEOGDAlvKysr0+bNm1VcXHzCzxk2bJg6Ojq0YcMGjR07VpK0fft2HTt2LPyc9957Tx0dHXrooYdkt3e9H/7pqcqfcrvd6uzsPGnG8vJy5eXl6YUXXtCrr76qefPmye12S+oaQXa73Vq3bp0WLlwoqatEv/fee7r99ttP+ecAAMDnMZILAECUKikp0aJFi7RixYrwtrvvvlt//OMfdcstt+iDDz5QRUWFXn75ZX3nO9+R1FVyp02bpiVLlujPf/6zNmzYoCVLlsjr9YZHT4uKitTR0aEVK1Zo586d+sUvfqEnnniix9cuKChQQ0OD1qxZoyNHjqipqemEGW02mxYuXKgnnnhCr7/+uq688srwY36/XzfddJPuvPNO/e53v9OWLVt0/fXXq6mpSdddd11v/7gAADGCkgsAQBS7//77e5xqPGrUKL311luqqKjQlClTNGbMGH3ve99TdnZ2+DnPPvusMjMzNXXqVM2ePVvXX3+9EhIS5PF4JEmlpaV6+OGHtWzZMo0cOVLPPffcF5YsKi8v14033qj58+crPT1dP/7xj78046JFi7Rlyxbl5OT0uP5W6hqNnjt3rhYvXqyysjJt375dr7322heuEQYA4FTZQl92cQ4AAIgJ+/btU15enlavXq0LL7zQdBwAAL4SSi4AADHmjTfeUENDg0pKSlRVVaW77rpL+/fv17Zt2+RyuUzHAwDgK2HiKQAAYkx7e7vuuece7dy5UwkJCSovL9dzzz1HwQUAWAIjuQAAAAAAy2DiKQAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZVByAQAAAACWQckFAAAAAFgGJRcAAAAAYBmUXAAAAACAZfx/hkT9Gufqnn8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualización\n",
    "# ========================\n",
    "labels = ['Positivo', 'Negativo', 'Neutral']\n",
    "data = [positive_percentage, negative_percentage, neutral_percentage]\n",
    "\n",
    "plt.style.use('_mpl-gallery-nogrid')\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "ax.pie(data, labels=labels, autopct='%1.1f%%', startangle=90, \n",
    "       wedgeprops={'edgecolor': 'white', 'linewidth': 2, 'antialiased': True})\n",
    "\n",
    "ax.set_ylabel('')\n",
    "ax.set_title(\"Porcentaje de rating por sentencias\")\n",
    "ax.legend(bbox_to_anchor=(1.2, 1))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "a4ffd6e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'neg': 0.087, 'neu': 0.752, 'pos': 0.16, 'compound': 0.9996}\n",
      "Text rated as: Positive\n"
     ]
    }
   ],
   "source": [
    "# Analizamos el texto original por entero\n",
    "# ========================================\n",
    "# Create a sentiment analyzer\n",
    "analyzer = SentimentIntensityAnalyzer()\n",
    "# Analyze some text\n",
    "scores = analyzer.polarity_scores(texto)\n",
    "print(scores)\n",
    "\n",
    "# Classify the text as positive, neutral, or negative\n",
    "if scores['compound'] >= 0.5:\n",
    "    print(\"Text rated as: Positive\")\n",
    "elif scores['compound'] > -0.5:\n",
    "    print(\"Text rated as: Neutral\")\n",
    "else:\n",
    "    print(\"Text rated as: Negative\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "59de3299",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sentiment(polarity=0.18844301639638442, subjectivity=0.4916767602000762)\n",
      "The sentiment is slightly positive.\n",
      "The text is partially subjective.\n"
     ]
    }
   ],
   "source": [
    "# Analizamos el texto original por entero con TextBlob\n",
    "# =====================================================\n",
    "blob = TextBlob(texto)\n",
    "sentiment = blob.sentiment\n",
    "print(sentiment)\n",
    "\n",
    "polarity=sentiment.polarity\n",
    "subjectivity=sentiment.subjectivity\n",
    "\n",
    "if polarity >= 0.5:\n",
    "    print(\"The sentiment is positive.\")\n",
    "elif polarity >= 0.15:\n",
    "    print(\"The sentiment is slightly positive.\")\n",
    "elif polarity > -0.15:\n",
    "    print(\"The sentiment is neutral.\")\n",
    "elif polarity > -0.5:\n",
    "    print(\"The sentiment is slightly negative.\")\n",
    "else:\n",
    "    print(\"The sentiment is negative.\")\n",
    "\n",
    "if sentiment.subjectivity > 0.5:\n",
    "    print(\"The text is highly subjective.\")\n",
    "elif sentiment.subjectivity > 0.2:\n",
    "    print(\"The text is partially subjective.\")\n",
    "else:\n",
    "    print(\"The text is primarily objective.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1cac7b6",
   "metadata": {},
   "source": [
    "***En conclusión:***\n",
    "- Al parecer, la biblioteka Nltk asigna un valor general positivo al texto tanto en su conjunto que en su analisis por sentencias. Siendo un speech motivaciónal, parece una evaluación sensata.\n",
    "- Referente a la bibilioteca BoxBlob, la evaluación parece ser mas general. El valor de subjectivity alcanza casi el 0.5, cosa que indica que el testo puede ser interpretado de forma diferente por cada uno. Siendo un motivational speech que incluye anegdotas y conotaciones a veces tristes, sorprende que la maquina de esa interpretación. "
   ]
  }
 ],
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   "language": "python",
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    "name": "ipython",
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