SQLAlchemy_and_Pycon_2016_update-Michael/SQLAlchemy_and_PyCon2016.ipynb

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   "source": [
    "SQLAlchemy & PyCon 2016  \n",
    "==============\n",
    "DesertPy 6/22/2016  \n",
    "---------------------\n",
    "@ftlphys  \n",
    "Michael Gilbert"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "slide_type": "slide"
    }
   },
   "source": [
    "### What is SQLAlchemy?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "*\"SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.*\n",
    "\n",
    "*It provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language.\" *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "In essence, SQLAlchemy gives you the flexibility of both Python & SQL and also helps you change the way you think about both as a means of data storage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "####  How do we cross an SQL database with Python?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "SQLAlchemy uses an ORM (object relational-mapper) component that maps Python Objects to SQL Tables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "* Use SQL syntax, speed, and interoperability\n",
    "    - SQL is used in many legacy and modern systems\n",
    "    - Language plugins exist in every major programming language\n",
    "    - Extremely easy to use and deploy (SQLite being one of the easiest)\n",
    "* Use Python\n",
    "    - Pandas\n",
    "    - Numpy\n",
    "    - SciPy\n",
    "    - Thousands upon thousands of useful packages ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### The Complementarity Principle...\n",
    "* In Physics: *\"in physics, tenet that a complete knowledge of phenomena on atomic dimensions requires a description of both wave and particle properties\"* -[Encyclopedia Britanica](http://www.britannica.com/science/complementarity-principle)\n",
    "* In Automation: Using a Cognitive Systems Engineering approach to understand the interaction between human and automation to encourage learning and growth. -[Automation Should Be Like Iron Man, Not Ultron](http://queue.acm.org/detail.cfm?id=2841313)\n",
    "    - Not saying: \"Isn't it beautiful? We have no idea how it works\"\n",
    "    - But saying: \"Isn't it beautiful how we learn and grow together, sharing control over the system\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Let's Look at some Python now!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "slide_type": "fragment"
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   },
   "source": [
    "SQLAlchemy provides many ways to create your objects/tables, we will use the most common and recommended Declarative System [SQLAlchemy Tutorial v1.1](http://docs.sqlalchemy.org/en/latest/orm/tutorial.html).  This link has lots and lots and lots of examples to look at, including some of the standard examples used to demonstrate ORMs.  So let's look at something a little different..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### Game of Thrones meets Python... \n",
    "<img src='1afc5a055a2db233ff88d6131ad3b665.jpg'>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
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   "source": [
    "from sqlalchemy import Column, ForeignKey, String, create_engine, DateTime, \\\n",
    "    Integer\n",
    "from sqlalchemy.orm import Session, relationship, joinedload, backref\n",
    "from sqlalchemy.ext.declarative import declarative_base\n",
    "from sqlalchemy.ext.hybrid import hybrid_property\n",
    "import datetime\n",
    "from IPython.display import Image, display\n",
    "\n",
    "# forms the base from which all of our tables/classes will inherit\n",
    "Base = declarative_base()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   },
   "source": [
    "#### To build our GOT world database we need 4 classes/tables\n",
    "* **Region**: The location within the GOT world (north, south, across the narrow sea, etc.)\n",
    "* **City**: The cities of the GOT world (Winterfell, King's Landing, etc.)\n",
    "* **House**: The royal houses (Stark, Lanistar, etc.)\n",
    "* **Character**: The characters of GOT (Arya, John Snow, etc.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
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   "source": [
    "class Region(Base):\n",
    "    __tablename__ = 'region' #defines the name of the table within SQL\n",
    "    idn = Column(Integer, primary_key=True)\n",
    "    name = Column(String, nullable=False)\n",
    "    cities = relationship(\"City\", back_populates=\"region\")\n",
    "\n",
    "    def __repr__(self): # gives a useful reprentation when printed\n",
    "        return \"<Region(name='{}')>\".format(self.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
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   "source": [
    "class City(Base):\n",
    "    __tablename__ = 'city'\n",
    "    idn = Column(Integer, primary_key=True)\n",
    "    name = Column(String, nullable=False)\n",
    "    ruling_house = relationship(\"House\", back_populates=\"cities_owned\")\n",
    "    ruling_house_idn = Column(Integer, ForeignKey('house.idn')) \n",
    "    region = relationship(\"Region\", back_populates=\"cities\")\n",
    "    region_idn = Column(Integer, ForeignKey('region.idn')) \n",
    "\n",
    "    def __repr__(self):\n",
    "        return \"<City(name='{}')>\".format(self.name)"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "#### Now we will add a little more functionality in the next couple of classes...\n",
    "* **Hybrid properties/methods**: Used as decorators to provide differing functionality between class and instance (table and entry).  At the class level this would represent an SQL expression and a value at the instance level\n",
    "* Self-referencing tables can provide a nodal hierarchy for recursive relationships\n",
    "* Ordinary Python methods can also apply logic for common operations within your framework"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
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   "source": [
    "class House(Base):\n",
    "    __tablename__ = 'house'\n",
    "    idn = Column(Integer, primary_key=True)\n",
    "    name = Column(String, nullable=False)\n",
    "    slogan = Column(String)\n",
    "    cities_owned = relationship(\"City\", back_populates=\"ruling_house\")\n",
    "    members = relationship(\"Character\", back_populates=\"house\")\n",
    "    super_house_idn = Column(Integer, ForeignKey('house.idn'))\n",
    "    sub_houses = relationship('House',\n",
    "                              backref=backref(\"super_house\",\n",
    "                                              remote_side=idn),\n",
    "                              order_by='House.name')\n",
    "\n",
    "    @hybrid_property\n",
    "    def return_dead(self):\n",
    "        return [member for member in self.members if member.life_span]\n",
    "\n",
    "    @hybrid_property\n",
    "    def return_living(self):\n",
    "        return [member for member in self.members\n",
    "                if member not in self.return_dead]\n",
    "\n",
    "    @hybrid_property\n",
    "    def has_dragons(self):\n",
    "        if any(member.has_dragons for member in self.members):\n",
    "            return True\n",
    "        return False\n",
    "\n",
    "    def wage_war(self, other):\n",
    "        if self.has_dragons:\n",
    "            return House.evaluate_losses(self, other)\n",
    "        elif other.has_dragons:\n",
    "            return House.evaluate_losses(other, self)\n",
    "        else:\n",
    "            return \"it's a draw...\"\n",
    "\n",
    "    @staticmethod\n",
    "    def evaluate_losses(winner, loser):\n",
    "        for member in loser.members:\n",
    "            member.deathday = datetime.datetime.now()\n",
    "            display(Image(filename=\"output.jpg\"))\n",
    "            print('attribution: http://moviepilot.com/posts/3972495')\n",
    "        return \"{}'s Dragons Prevail against {}!!\".format(winner.name,\n",
    "                                                          loser.name)\n",
    "\n",
    "    def __repr__(self):\n",
    "        return \"<House(name='{}', slogan='{}')>\".format(self.name,\n",
    "                                                        self.slogan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
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   "source": [
    "class Character(Base):\n",
    "    __tablename__ = 'character'\n",
    "    idn = Column(Integer, primary_key=True)\n",
    "    name = Column(String, nullable=False)\n",
    "    birthday = Column(DateTime, nullable=False)\n",
    "    deathday = Column(DateTime)\n",
    "    house = relationship(\"House\", back_populates=\"members\")\n",
    "    house_idn = Column(Integer, ForeignKey('house.idn'))\n",
    "\n",
    "    @hybrid_property\n",
    "    def life_span(self):\n",
    "        try:\n",
    "            return self.deathday - self.birthday\n",
    "        except TypeError:\n",
    "            return None\n",
    "\n",
    "    @hybrid_property\n",
    "    def has_dragons(self):\n",
    "        if self.name == 'daenerys':\n",
    "            return True\n",
    "        return False\n",
    "\n",
    "    def __repr__(self):\n",
    "        return \"<Character(name='{}', house='{}')>\".format(\n",
    "                                                        self.name,\n",
    "                                                        self.house.name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### We can visualize these class structures in two ways, a class diagram, and an sqlalchemy diagram"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<img src=\"classdiagram.png\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<img src=\"sqldiagram.png\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### Now let's create a session and build our GOT world!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-06-23 20:46:59,094 INFO sqlalchemy.engine.base.Engine SELECT CAST('test plain returns' AS VARCHAR(60)) AS anon_1\n",
      "2016-06-23 20:46:59,095 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,097 INFO sqlalchemy.engine.base.Engine SELECT CAST('test unicode returns' AS VARCHAR(60)) AS anon_1\n",
      "2016-06-23 20:46:59,098 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,100 INFO sqlalchemy.engine.base.Engine PRAGMA table_info(\"house\")\n",
      "2016-06-23 20:46:59,100 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,101 INFO sqlalchemy.engine.base.Engine PRAGMA table_info(\"region\")\n",
      "2016-06-23 20:46:59,102 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,102 INFO sqlalchemy.engine.base.Engine PRAGMA table_info(\"city\")\n",
      "2016-06-23 20:46:59,103 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,104 INFO sqlalchemy.engine.base.Engine PRAGMA table_info(\"character\")\n",
      "2016-06-23 20:46:59,104 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,105 INFO sqlalchemy.engine.base.Engine \n",
      "CREATE TABLE house (\n",
      "\tidn INTEGER NOT NULL, \n",
      "\tname VARCHAR NOT NULL, \n",
      "\tslogan VARCHAR, \n",
      "\tsuper_house_idn INTEGER, \n",
      "\tPRIMARY KEY (idn), \n",
      "\tFOREIGN KEY(super_house_idn) REFERENCES house (idn)\n",
      ")\n",
      "\n",
      "\n",
      "2016-06-23 20:46:59,112 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,146 INFO sqlalchemy.engine.base.Engine COMMIT\n",
      "2016-06-23 20:46:59,147 INFO sqlalchemy.engine.base.Engine \n",
      "CREATE TABLE region (\n",
      "\tidn INTEGER NOT NULL, \n",
      "\tname VARCHAR NOT NULL, \n",
      "\tPRIMARY KEY (idn)\n",
      ")\n",
      "\n",
      "\n",
      "2016-06-23 20:46:59,147 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,158 INFO sqlalchemy.engine.base.Engine COMMIT\n",
      "2016-06-23 20:46:59,159 INFO sqlalchemy.engine.base.Engine \n",
      "CREATE TABLE city (\n",
      "\tidn INTEGER NOT NULL, \n",
      "\tname VARCHAR NOT NULL, \n",
      "\truling_house_idn INTEGER, \n",
      "\tregion_idn INTEGER, \n",
      "\tPRIMARY KEY (idn), \n",
      "\tFOREIGN KEY(ruling_house_idn) REFERENCES house (idn), \n",
      "\tFOREIGN KEY(region_idn) REFERENCES region (idn)\n",
      ")\n",
      "\n",
      "\n",
      "2016-06-23 20:46:59,160 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,171 INFO sqlalchemy.engine.base.Engine COMMIT\n",
      "2016-06-23 20:46:59,172 INFO sqlalchemy.engine.base.Engine \n",
      "CREATE TABLE character (\n",
      "\tidn INTEGER NOT NULL, \n",
      "\tname VARCHAR NOT NULL, \n",
      "\tbirthday DATETIME NOT NULL, \n",
      "\tdeathday DATETIME, \n",
      "\thouse_idn INTEGER, \n",
      "\tPRIMARY KEY (idn), \n",
      "\tFOREIGN KEY(house_idn) REFERENCES house (idn)\n",
      ")\n",
      "\n",
      "\n",
      "2016-06-23 20:46:59,173 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,185 INFO sqlalchemy.engine.base.Engine COMMIT\n"
     ]
    }
   ],
   "source": [
    "engine = create_engine('sqlite:///test.db',\n",
    "                       echo=True)  # echo will show SQL commands\n",
    "Base.metadata.create_all(engine)\n",
    "session = Session(\n",
    "    engine)  # autoflush=False to control database flushing manually"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-06-23 20:46:59,224 INFO sqlalchemy.engine.base.Engine BEGIN (implicit)\n",
      "2016-06-23 20:46:59,226 INFO sqlalchemy.engine.base.Engine INSERT INTO region (name) VALUES (?)\n",
      "2016-06-23 20:46:59,227 INFO sqlalchemy.engine.base.Engine ('north',)\n",
      "2016-06-23 20:46:59,229 INFO sqlalchemy.engine.base.Engine INSERT INTO region (name) VALUES (?)\n",
      "2016-06-23 20:46:59,229 INFO sqlalchemy.engine.base.Engine ('south',)\n",
      "2016-06-23 20:46:59,230 INFO sqlalchemy.engine.base.Engine INSERT INTO region (name) VALUES (?)\n",
      "2016-06-23 20:46:59,231 INFO sqlalchemy.engine.base.Engine ('narrow sea',)\n",
      "2016-06-23 20:46:59,233 INFO sqlalchemy.engine.base.Engine COMMIT\n",
      "2016-06-23 20:46:59,260 INFO sqlalchemy.engine.base.Engine BEGIN (implicit)\n",
      "2016-06-23 20:46:59,262 INFO sqlalchemy.engine.base.Engine SELECT region.idn AS region_idn, region.name AS region_name \n",
      "FROM region\n",
      "2016-06-23 20:46:59,264 INFO sqlalchemy.engine.base.Engine ()\n",
      "[<Region(name='north')>, <Region(name='south')>, <Region(name='narrow sea')>]\n"
     ]
    }
   ],
   "source": [
    "# Create regions\n",
    "north = Region(name='north')\n",
    "south = Region(name='south')\n",
    "narrow_sea = Region(name='narrow sea')\n",
    "session.add(north)\n",
    "session.add(south)\n",
    "session.add(narrow_sea)\n",
    "session.commit()\n",
    "\n",
    "#query the database to see that our regions are there\n",
    "regions = session.query(Region).all()\n",
    "print(regions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-06-23 20:46:59,275 INFO sqlalchemy.engine.base.Engine INSERT INTO city (name, ruling_house_idn, region_idn) VALUES (?, ?, ?)\n",
      "2016-06-23 20:46:59,276 INFO sqlalchemy.engine.base.Engine ('winterfell', None, 1)\n",
      "2016-06-23 20:46:59,277 INFO sqlalchemy.engine.base.Engine INSERT INTO city (name, ruling_house_idn, region_idn) VALUES (?, ?, ?)\n",
      "2016-06-23 20:46:59,277 INFO sqlalchemy.engine.base.Engine ('kings landing', None, 2)\n",
      "2016-06-23 20:46:59,278 INFO sqlalchemy.engine.base.Engine INSERT INTO city (name, ruling_house_idn, region_idn) VALUES (?, ?, ?)\n",
      "2016-06-23 20:46:59,279 INFO sqlalchemy.engine.base.Engine ('meereen', None, 3)\n",
      "2016-06-23 20:46:59,280 INFO sqlalchemy.engine.base.Engine COMMIT\n"
     ]
    }
   ],
   "source": [
    "# Create cities and link them to regions\n",
    "winterfell = City(name='winterfell', region=north)\n",
    "kings_landing = City(name='kings landing', region=south)\n",
    "meereen = City(name='meereen', region=narrow_sea)\n",
    "session.commit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-06-23 20:46:59,307 INFO sqlalchemy.engine.base.Engine BEGIN (implicit)\n",
      "2016-06-23 20:46:59,311 INFO sqlalchemy.engine.base.Engine SELECT region.idn AS region_idn, region.name AS region_name, city_1.idn AS city_1_idn, city_1.name AS city_1_name, city_1.ruling_house_idn AS city_1_ruling_house_idn, city_1.region_idn AS city_1_region_idn \n",
      "FROM region LEFT OUTER JOIN city AS city_1 ON region.idn = city_1.region_idn\n",
      "2016-06-23 20:46:59,313 INFO sqlalchemy.engine.base.Engine ()\n",
      "north [<City(name='winterfell')>]\n",
      "south [<City(name='kings landing')>]\n",
      "narrow sea [<City(name='meereen')>]\n"
     ]
    }
   ],
   "source": [
    "regions = session.query(Region).options(joinedload('cities')).all()\n",
    "for r in regions:\n",
    "    print(r.name, r.cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "slideshow": {
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-06-23 20:46:59,335 INFO sqlalchemy.engine.base.Engine INSERT INTO house (name, slogan, super_house_idn) VALUES (?, ?, ?)\n",
      "2016-06-23 20:46:59,336 INFO sqlalchemy.engine.base.Engine ('lannister', 'a lanistar always repays his debts', None)\n",
      "2016-06-23 20:46:59,338 INFO sqlalchemy.engine.base.Engine INSERT INTO house (name, slogan, super_house_idn) VALUES (?, ?, ?)\n",
      "2016-06-23 20:46:59,339 INFO sqlalchemy.engine.base.Engine ('targaryen', 'fire and blood', None)\n",
      "2016-06-23 20:46:59,340 INFO sqlalchemy.engine.base.Engine INSERT INTO house (name, slogan, super_house_idn) VALUES (?, ?, ?)\n",
      "2016-06-23 20:46:59,341 INFO sqlalchemy.engine.base.Engine ('stark', 'winter is coming', None)\n",
      "2016-06-23 20:46:59,348 INFO sqlalchemy.engine.base.Engine INSERT INTO house (name, slogan, super_house_idn) VALUES (?, ?, ?)\n",
      "2016-06-23 20:46:59,349 INFO sqlalchemy.engine.base.Engine ('freys', None, 1)\n",
      "2016-06-23 20:46:59,353 INFO sqlalchemy.engine.base.Engine UPDATE city SET ruling_house_idn=? WHERE city.idn = ?\n",
      "2016-06-23 20:46:59,355 INFO sqlalchemy.engine.base.Engine ((3, 1), (1, 2), (2, 3))\n",
      "2016-06-23 20:46:59,364 INFO sqlalchemy.engine.base.Engine COMMIT\n"
     ]
    }
   ],
   "source": [
    "# Create houses\n",
    "lannister = House(name='lannister', slogan='a lanistar always repays his debts')\n",
    "targaryen = House(name='targaryen', slogan='fire and blood')\n",
    "stark = House(name='stark', slogan='winter is coming')\n",
    "freys = House(name='freys')\n",
    "\n",
    "# Assign the cities\n",
    "lannister.cities_owned.append(kings_landing)\n",
    "targaryen.cities_owned.append(meereen)\n",
    "stark.cities_owned.append(winterfell)\n",
    "lannister.sub_houses.append(freys)\n",
    "session.commit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-06-23 20:46:59,408 INFO sqlalchemy.engine.base.Engine BEGIN (implicit)\n",
      "2016-06-23 20:46:59,413 INFO sqlalchemy.engine.base.Engine SELECT house.idn AS house_idn, house.name AS house_name, house.slogan AS house_slogan, house.super_house_idn AS house_super_house_idn, city_1.idn AS city_1_idn, city_1.name AS city_1_name, city_1.ruling_house_idn AS city_1_ruling_house_idn, city_1.region_idn AS city_1_region_idn, house_1.idn AS house_1_idn, house_1.name AS house_1_name, house_1.slogan AS house_1_slogan, house_1.super_house_idn AS house_1_super_house_idn \n",
      "FROM house LEFT OUTER JOIN city AS city_1 ON house.idn = city_1.ruling_house_idn LEFT OUTER JOIN house AS house_1 ON house.idn = house_1.super_house_idn ORDER BY house_1.name\n",
      "2016-06-23 20:46:59,415 INFO sqlalchemy.engine.base.Engine ()\n",
      "targaryen fire and blood [<City(name='meereen')>]\n",
      "None [] \n",
      "\n",
      "stark winter is coming [<City(name='winterfell')>]\n",
      "None [] \n",
      "\n",
      "freys None []\n",
      "<House(name='lannister', slogan='a lanistar always repays his debts')> [] \n",
      "\n",
      "lannister a lanistar always repays his debts [<City(name='kings landing')>]\n",
      "None [<House(name='freys', slogan='None')>] \n",
      "\n"
     ]
    }
   ],
   "source": [
    "houses = session.query(House).options(joinedload('cities_owned'),\n",
    "                                      joinedload('sub_houses'))\n",
    "for h in houses:\n",
    "    print(h.name, h.slogan, h.cities_owned)\n",
    "    print(h.super_house, h.sub_houses, '\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-06-23 20:46:59,433 INFO sqlalchemy.engine.base.Engine INSERT INTO character (name, birthday, deathday, house_idn) VALUES (?, ?, ?, ?)\n",
      "2016-06-23 20:46:59,434 INFO sqlalchemy.engine.base.Engine ('daenerys', '1990-01-01 00:00:00.000000', None, 2)\n",
      "2016-06-23 20:46:59,436 INFO sqlalchemy.engine.base.Engine INSERT INTO character (name, birthday, deathday, house_idn) VALUES (?, ?, ?, ?)\n",
      "2016-06-23 20:46:59,437 INFO sqlalchemy.engine.base.Engine ('cersei', '1985-01-01 00:00:00.000000', None, 1)\n",
      "2016-06-23 20:46:59,439 INFO sqlalchemy.engine.base.Engine INSERT INTO character (name, birthday, deathday, house_idn) VALUES (?, ?, ?, ?)\n",
      "2016-06-23 20:46:59,440 INFO sqlalchemy.engine.base.Engine ('arya', '2001-01-01 00:00:00.000000', None, 3)\n",
      "2016-06-23 20:46:59,443 INFO sqlalchemy.engine.base.Engine COMMIT\n"
     ]
    }
   ],
   "source": [
    "# Create characters\n",
    "daenerys = Character(name='daenerys',\n",
    "                     house=targaryen,\n",
    "                     birthday=datetime.datetime(1990, 1, 1))\n",
    "cersei = Character(name='cersei',\n",
    "                   house=lannister,\n",
    "                   birthday=datetime.datetime(1985, 1, 1))\n",
    "arya = Character(name='arya',\n",
    "                 house=stark,\n",
    "                 birthday=datetime.datetime(2001, 1, 1))\n",
    "session.commit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-06-23 20:46:59,467 INFO sqlalchemy.engine.base.Engine BEGIN (implicit)\n",
      "2016-06-23 20:46:59,471 INFO sqlalchemy.engine.base.Engine SELECT character.idn AS character_idn, character.name AS character_name, character.birthday AS character_birthday, character.deathday AS character_deathday, character.house_idn AS character_house_idn, house_1.idn AS house_1_idn, house_1.name AS house_1_name, house_1.slogan AS house_1_slogan, house_1.super_house_idn AS house_1_super_house_idn \n",
      "FROM character LEFT OUTER JOIN house AS house_1 ON house_1.idn = character.house_idn\n",
      "2016-06-23 20:46:59,472 INFO sqlalchemy.engine.base.Engine ()\n",
      "daenerys <House(name='targaryen', slogan='fire and blood')>\n",
      "None\n",
      "cersei <House(name='lannister', slogan='a lanistar always repays his debts')>\n",
      "None\n",
      "arya <House(name='stark', slogan='winter is coming')>\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "chrs = session.query(Character).options(joinedload('house')).all()\n",
    "for c in chrs:\n",
    "    print(c.name, c.house)\n",
    "    print(c.life_span)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Our world is set, so now let's have an event...\n",
    "* The \"wage_war\" method on the house provides a means of altering our database\n",
    "    - This method is not part of the database schema, but will alter data held in the database if we fire the event and commit to our session\n",
    "* We will then see how the hybrid methods can be used to hold SQL expressions and filter our queries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-06-23 20:46:59,488 INFO sqlalchemy.engine.base.Engine SELECT character.idn AS character_idn, character.name AS character_name, character.birthday AS character_birthday, character.deathday AS character_deathday, character.house_idn AS character_house_idn \n",
      "FROM character \n",
      "WHERE ? = character.house_idn\n",
      "2016-06-23 20:46:59,490 INFO sqlalchemy.engine.base.Engine (1,)\n",
      "2016-06-23 20:46:59,492 INFO sqlalchemy.engine.base.Engine SELECT character.idn AS character_idn, character.name AS character_name, character.birthday AS character_birthday, character.deathday AS character_deathday, character.house_idn AS character_house_idn \n",
      "FROM character \n",
      "WHERE ? = character.house_idn\n",
      "2016-06-23 20:46:59,494 INFO sqlalchemy.engine.base.Engine (2,)\n"
     ]
    },
    {
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5+9p6lj+e6utebi7fFSMXFjhzYADZdS6iDSKpLTOVDZK1uXAoM2OyWyKKlQLQ\nArK40SUWZ20WIppUJpkACoqG0DqKm1FwykFDTBNANAxhQWOQE0wAAAGmDTAAaAGgYANBTTAAGgYg\nqhichUUASimESrQIBoSqxFTLRrSVnbn1Fc1CRSSwV1AaZ1NlORaVJJbJVT0JcTZpjcyrW/VPLX1f\nQfGn1OB84/a4F5cenBJ1yolNiRMbq4WjS7HyV6EvFh6nFZzduWZ3edr0HM4ZFmpOenXFRt55HTy+\nxXLyTI9M9D1/Z+X9uX0OK/KVb+dZjh3eQdfP0YE9nLgKWJ0YyCNs7EnZmORpqvW9j5T6XN8nk9nx\nx52rM4ubJ6+XuzriqdrPRx9LgmuX0OYFPq8JXHqkjfk75c89yzzsz0Drz4OuXn6PP6bIXMhZ6+qc\nXu8XhzVZ5a3P0PZ4v1S8HCuJMuQiyJRY0CjVI6hqqlpWmLVqiF0rbG+jSb565OL1vJ1mCl1zLGE1\nIxBok7IdNM9MwqgJHVZXppLOpdmNaZQWVWeXRMZIJuZauZGhuWCCmmoqpY0FgIBgAgYA3LGSFAAD\nEAMGAMGmCYIGJWQOaqDZmLbIs0M1SBKYtwKxSjcpbGitOfojDbNHVlGhnWuY5VoUtVzlyOhGkoEr\nRnrVGaGX1x9lLwfV3z1vz8vAd3Dx8Uvv7fMdZv5npYJ4nN9P59eI2k0Wcxu5muqebWN9eZrneOhh\nvj6tnJ06+TK1MWdMXpLlXZ5YytbPTg8orUuM8mV2ez5msvqcnnemvk8W/JHtc3N3Wcd2TXDzd3DZ\nkt8TRTab83WHKE2a5olE1qL2PG6ZfoPI9DhjkN+WxRc0qrXKOzmF97Lk75b8P3fKrp87r4E15+7z\njt14tzSOjjjTe87c7lQcvb5Nk7Yekdu/B5GdTlT6ZXu9HvHCd3yuXHzJ2EdaOAK0kohUmiYxBQhq\nU0XVnZHTx8unpdPn6Y1Xm+gunPzQXXCsqoVShSlGAbrOVSTuavPQKTBwGjlF4XBXTjVaYJRQ1NTL\nLEmCYyWADoQ0AhAAAdIYAIbQDYAAwQNMKTEwAGJpwMkHposXnskSFTblDPRSxcukmgBwholWh6Y0\nsa5aJrjtkrvOpNYzq2dsbR3AoFQlaAYl5za2RsY1Poy9/wB35/fT58YrzfMx5ca2xklokTSsmb7c\nulHm+rxXPnxV2Y6KipJHc6k9axjHfLIrprK2pgk19Hy/WV+NvzHseWaGF4lnRg/Ul5Ofp4Dft4/p\nzxef2edfHf03DHztZ9FkejfnTSxUWbZdvLLGvTedc8+j5rPOUdMymWIZDXqbr0Pj7Yr5/wBXyrMk\n1T7eDWW46e3N8v6Hh7FeHq+AmM3Fj5uziSdZ1t6dttYOfPpzc8741jztctZ9Tp4eOXmSNZp6512+\nj8+R9R85loT6Jms8enOXDmxuWDATTHUUqp3m61nry6b8W8w9cEvR7fzRvGb0W5IiyBiSmybVpkmG\nqlKUFjJdiuNIcayKOqF561lJ0miBCpCBoGDECKqaEhIADQwAppghgmAwABiAGAAIoVkUMAuKYle2\nOZtno0xHNMaKcVEjVSUQElMQIRFIaooRy5KEGggAJW6BKpTRArcsrPZkWpNfsPn/ALpejzd/Bl35\nZJfIi85W5cDVDBqaZs6M6rWPENObWTeXGQ1XTzaZHROPTF4Qx47Y0+nl7oy7PU8Mzx6uRe3mjYyf\nr8Zx9nHCaTbXr+u+R7D3/L8sOnxOvCWNoEw684Xo4NfUtkXNnfT1P2ePX5/P2uLN+ez9Lj7+fmVr\npzWmdy9X2Pwn2B4OvpeWcvN0apwvotY5/a8GX1q8j3jt4ezyZr3/ACOzmTi6uPOyl089nbOXQLXK\n5eb0H1zXh+Z17Jpvr4y8OOk75wrmurnhxQehWPZ2+PLWJpHGmagtJiU2AILQqbYxLNoTWiQsll6Y\nhrkVTmgzB2QqEVwhidhN3ELYrnuRNJQrqA025qi0qsp5aW4OXCBDExgAgSnLEmCYUDAGAAAwQwTA\nBAMQAwAC5sSqJd9efpSMa2leePSY1VWYNFOazHcBpMMbThNokLIVSNprQmkLRCVSMEWIXTXGoAaS\n2KKwQmXvz+ofR+zy9K8Hieh53Pfdy8vlVtGGsaMqWEuc7Hw1Z2mGy668vSmflez5+scfTirldHLp\nb08uuQqy2MxM6MiCOrl2jfmWZvlq1x6MBOnOfRXyp1zQ7eH0109nm6TxfO9fz15O/nwyynTLU9Tj\n6cGuv1RS8nS5x127+fyZfQ5vOxmfU5fPq5jHsy6Y531clj9nx+tPrvmvZ4zwvQz5Dp7cO5eLzu31\nc3zPV83Cz6bj9jyprDDLpTwbjTWdM1R33xdq93H0xL0xryZvXHofLHFxaZb5uXOpSaWG+2O30eTi\naXG/Skp9viS8uY9ZusBdYAYUTREulZspAA2Q6YqGKdMx1ncrkg1WLsqLiwQWUUwqJNM0FuGlVIPL\nWTPXPQVphpjZi01Q0DQMTAYiE6aYJgMAYAmAAA0wTQAAAAiG1ZTz6pYt4GmbqmnEaqeg5o6c0yKm\nnK0ILmkqIaBUAFxSVIgQLSYgNCCySqJoClNSg2k2mqLgVoL+h+f+0X1Z7vIPJ8v0PL4dcojLWemu\nVy9d82yma502rluzoJ6Fz6+TrsMtJs8ed8t801SqpZO2DNM3JeTsHEm+PRgaTDEVJrpz1mwF1n9V\n4qPoV4GR7mfD7xwc/wBF80uHJ6XIba8il9HSpm75evGbjh9vsZ+Lj6ybn5bfvwTo38lrv5f0nHZ5\nL25Lj6Du8f214PK9Pz0x6ePI9j0/A9+a+W6OftufX4ujy86CKs46g1nVT1y7er5nZLtRa+fqvdzf\nmPH7vL1gROpVpmaXUc/p8/LL6PBG1V9HGebj5Hd5tmZTsmNZILgoQW40VzUyhSBoEXKNjVAwakcq\nrM6QCKBWJIylN5wxoYiqCoKq7OeejEjWNCgFwqaAAQAwYArE2hiYwAaYAAAAAAwGEjQAAO5Xz9cl\nOZidpoeXQzEaFeUFEqt1k00SYFRQrJc6EDHYmlDTAVSNyxU2K4DRZ0OpoBqNViLpMhYA5Yb/AH3w\nX6DL2eb3eYvleT73Hz389n6EXPJe2lRr6XDLzcvoYHHfRdmHblpKuzk6lTFZwYd3DrEMLM6qRuES\nVsuF3ilQ0UqZm5qLzpK9+dlfQ/Pe8ezxVgLonmX1/F87hT2vP4Ge3w5WuG+NS+ht53XNdPmfSeTL\nrv5GtmvHjhc9XHVC7Ojzl9vv8P6VPj8vc8Wz1b59zOPQ8qOrxfY8aWve+d9mzyav3h+V73DL8/vi\ntZgOmy+naZdO/g6ZerKc16L7/kY5OTS9Y5AuoSmjbFlSql3+n4/ojL5v3flc3Pn1xsYlVMYp0zJY\nWA3DQlbVkq0tJTJoQLo5Q5GNUEOkk7Y0Sm6guEolDGyGtayrTMGSWppByiidFzqLAATAdK6gYiTC\nWwBoYAJgAAwBNiGoEwTTVues51XRHK9bMisTpyhiXTJm9YJkmylYRpnYBJcgqYxy0iQwKolNkskB\nMpsAcFiFBgAobkLSZaEdP6L+afYr7/lev50vN08OeNeTx9eJl7Pk1L6PBjMvRkUZzsrI0LVa50lx\nrhqT5/oebcop6zC0s5951Gac5GeyCOiTlqWS2GudRLLTNVMH03T8t7Bnw9W6/Pz6HmI+rn9yV9nl\n9S4ef9J50vGtwXp+PC+9x5+Yey/GdnTncsxWIp7vz3Wn03gfV+LXznoz5ievHm90unm+rieb6nl9\n1i+h8L2s1a+fa+KTpvGXqcfry8s8ffL08HV559FyLOXt+W25LBdfJqYLTKyaliaonZ0fTbYefnS8\nxFmcOyXSQlIaYSUqGWZulAylh0CGoapBSpWncqi4sSuQnRpmtoMipsSTobmKa0KnPRZm4E2rOjm6\nMjPaKTOotQAYmVcWQh2IABgAAAAwEA2iVoLBANAOpqWujPeM/Q5OM2zy2F1T6h49SGuPTxlQ3ZE6\nyTSRV5BcqwTAqRWmJNqiU2o0IgZLYDSHI1GlFyMAYDQNMEA/Y8n1pfu+AlfO8b1vH5dECqZ03Tjr\nJw9Y0WmqhUKaDPXWdcN8tTHh7fOuNazveWTmaXgzeVRWVolOYmoC3nZMbYK2xDfnavK4NM0D6T2j\n57u5Zzrq7vO9eXzNOvkt6N/P9bN5eD1eVeGdZuYcdtzxHTnZzT6fmpD7Vb9D6HznUYfPerCcqCD0\nvL9tfn+7m9+q4NM4XuZ+hL8X3eZGs+kcvVKj0vFPY5lxHX6mXJm+L1cRvP0HDHoZvz/P0YbzAwnX\nOjQy3X3PFvGI0wqy7VyxnpFkMQwmqkcJhQ2RLuzLSZXW8OiM46MzF6TSrHSVaSDc1DEqqVKDRZFC\nqptxbza50khWdK5qkyuXZdS6xuLUAgY7HU2QUhAAME2QhglRUsAaYgBMAANbipdcnlE93J0ETriv\nR0c0p0YYwdWM6WYbZeqvmLXJE9MwAGANpiG1TTQKmVghoKaAE2IaCaUJgMaG5BghiAaY9sNF+37P\nN7c3k8f1PP59OKdsYnKL0h0Zr1hHTWWspF5waRpvGnJ14bnJxkXFvMstIVuQYgbSSiWMTFU0EtLU\ntCEyb6PpI+fX0118mvp+pfjsfq/n4Xucec12cawl6vO4xPROD1F876Pz+tNfBWdi6uq7ODh9EMr5\n+g9Hm6+UxnfAx30EWnTyVXq8uK8F83oHb6GXNl80jt1O6Pd83Oufz/S8yy8M+2z3Pn/p/lc6451z\n3jt7Zxzrzc+jHWYVMl9UHPvnBL00MdO+5VzzzLUVFypclaZ0RpAVJZQmSqkYWZGql1MKLyq6yWhG\nL3zE2EPSVmpLnTMBGhU3blzjSCY0hLasgGQ5LLEEXF0ADaIeksc0iW2IaAGoAiGCVKkFQhgpaoc6\nRp18il20vniRlYv0eYyju5lU/Q+QmE3lZeHqcEsVLstCJaoGmNWCdxCE1G0CAKlgmAIAmgAAbBCK\nloAATABD0ypfrPV+d+lzrDg6t8XwOP2fMzrG5ldFm42I0FQKs7hDbi7d5vDbLefFnbG5YmgwUBiG\nwmpBpgMBgABI0JiOr3/mfpBwvQXg6dPGNPP6OI7tcfWy5/K9zwmuXn6ehI754D2fm+ws5eq8bO7o\nvizcPY+d9Oq4vT5jTfzNSOvTU4Yvzz19fG9SyuWuVcfd+e7k9bya5pa9nH0rOTk08+a6eD0/KuY7\nfN+gDwPU8qHa7dTo8n1PPlyvv9A8fk6uKXpz1mszXexdPJrGvNHJLBFWVFlmLKJbVCtDqHCLkYys\n2yNDOpax3kypqrM7LUuKoFzTtMylZFRZdolqbhc1UWSLVIVSVWaLz0dIajO5rUAYNOGMGwUpMEOE\nUrENAmhDFTaECRN1RonKS9Iz7lhG3F3OsCek6fJ6+Y+l8ft8tMIrOtohiqaVNCAOmFRbQENyoABM\ncsATEUElAqkAGIYJoBCGSKK9I531Mw2u5ff+h8D6s8H1vM7ZfN8v1PPzrzo6+fOs3VQtJClELcTN\nmHq+P6+s5GRrOfJ6fFc8xvZzT3I4n0Iwe1LzHYjkOnNMi1SpKATom2RNyHp+aj3tfG9WWM8Krz+h\nuK9Lwu0225/fPO498c3m8rrqzXTk3rDtfNXX5m2cnrVjqTjhudXJ04rnvzdBXidOxwet5e9ns+B6\nHnr3+hxeykfOfVfML6HXjxxrybSa+b9D4NnH7fjepXPxNC9Ke2Jx9JSxp5nXL5XF042TUKzfq88N\nIzKcuolOaZNpC0KhAWmEjQmwKllJkqBpFkq3FyJk1U1csaZMYkWooLpKpArSEPO0k6YzZpUaCilY\nTSWNFUY3F2DQrANSnIp1SzUg6jUmWhJqgAAEE0oAhS1XMOqI034Y25emreXP0eQx12xi8qmzoWZZ\neNIkHQ0QDKVPSWaJSwUtLOiauBAxFSDbEqkEA00DRKOGgujdeLTso5105SpzMVM0tmkHq/Y/DfZ2\nedtza5ufH0c81z+b6vl51Ilm0kxDVGd4XMer53ZvOSaTo5erLU5GEaObMXVmOiRspRRFkTrJjOir\nJbQkgLA1Y5bE5pa7vS6DyuT0tY+c9bk0K6fN0Xp5Y6U6I5kRW3ceU/Wk8eo9JNuXkyrrlzF6Kli+\n9y+bvy9VnDh0XZy592Rn6/lega4HSvKc0J6Xl9nAenlUHC+crXt5+uOtcmcvfzc8nT58SIpWEXJk\nVmVNzTaQlQklSNy6SRDadjEKVLKedwVDKSpSWImgtSE7YkugURVAaKVUOSlSSUnVS4JZSFCBpU27\nJLo47i7GmSupou5qFcMZNFOKJmghXNAgQ0NyxDB2tZMujAlnWNV6ubp3OHJTZWddK1ty4hLVktiS\nxVQnA9mZ6IlVKRQaCGEjQDYDYSME5EDBTrGd9XQvHr0EYm0yxaojDbIRZGcbZ267c/pHqfQYaanD\nW8ZvNzdvkZ1t5f0njnkvTPGnLSiFYufXO5035+rUytotrXU81a5SVplZq5koAWWuA7mhuASpBnrk\nZpzqNCGgDTMPr9OLRePKsDj4fS4D2NvE9bN9LwvS8azs28jtLVBmzsjDTRHn1yd+ovU181Vpxbx7\nFc9Z3Xme342s8/N6HmJ1TybWWQztjLvXyOrl6hYatOnilkdB2nF18+kvFNbmfKoAqKsSJBoZ6wZt\ngRUVtjpkbSkgNUTaJpBSqRKlANC2hgyzMEVLoFUk1Sl0lC1DQ4aoBoXFEO0RnQlaZ1QkCuLgqEUk\nzK4vUAcr1y6IBoZNGe0WC1yhA6mKkaaEBYJhVlKbY9kc+mWsvOuvlrs97z+WPPv6Dy6nPPkTVZut\nIdxnOk0DaZ6HSQ9cpXMA1ZCmmJE0N0RogE84bQNTdsG9RPTjtGjhrFOS0qhuBazuEzedBFyX6nmd\nh92uPTTTn1zzZ+d+j8SX0POw2jDk75mvOjbGEnFkIqq643syyc10XLTHLfFM3ck49EGbqTSagKy0\nEmgKQRrnWUUWSmCTQ1LNvZ88X0ObDU9b5v0PKK+k8H6CVce/NGOXRVmXL18da9fmeti9Hk+l5Fnp\n7Z8mm3JvEdGnRzLVa+TjftYed7NT5/seFc80zz3OmvNpZfVzbROnp8KpKE26e/jXj26uCMH1+cuc\nTNkomqUhqjWMHedjh5GhSsMtYUCjKqaIihOWOaQ2gcb5kpoYUO2pVbzKgaNK1acTVy3UKoSqnvOP\nLflsrQCsLzAKSmgSZSpERYBU2c9xeoMcr0y7YzYhaRtEzpBUiJbzomgkYIFRSo0oiDU0lxvSz0/J\n7us8DJ99jx24Fxn0ONGTNadfFrE3k9Q3w6YNKzlWcAaVRkCioVLNisooFFOJCVRqxaoAlxW+Oi6J\nszV5lUrIakeTziaTBIiuzP269m+7PTiOfkxfW4CZfDnq4Je30vn/AG65fL9vwwisg2y7bOjm7OAV\n52bEOyufabMiSHFMzEzXO4XO41SFpA2qFIq5xqxJggBdHP7S+5fmWmXl+zhLHhez5FH0Hy/vy9fJ\n7XmZvLXr8Gpw+Z6mqLvfkZuW3k7anRWXr1lhvMdirOa+h+Yrjl871/C7LPqvB9bgl8vDbHfMqbK6\n+Xsl7eboxjl1y9ilx9esuPJ20cnk9fnqoIuXDmwBGunNS9Jl0RzRtlZSClFyOlRLSSzPQzm5EUCV\nA2gYJXploaSSReTLiog3zarXO4z0arMtmfVOsYY7IUa81jm6syp6EIVAOKYjRRdTO+EY3NUMY+rl\n3ilqRnWeq6T0Zpib8tVltkJoBVAlcF6ZbDzuo6y/Tl4PO9CaXL3+advL0cNnZlys6ed6HM9Lrmb3\nOe76Eje4lz5LUGlFMSDJ1LNgjdBKU1SWksXrMsK5KTkbmh6RZqKiI2kydTBCYi6XCttzkvs3jH1e\nHWvo9Ofu1Ofw/pfJl8jo4Vi6cHpca8nq+X7yc/jehwLOPRFHXDTp4unnshyjcQOb57MTPM6NeDQ2\nTsqLyhXDreVpHO3BpJnWaCxAwVIj1/Js9ro8/oX2Pm+/y47scfZPC6TzZfpMPJ+izvl871+y58jG\neqzs83pcvJh6nJrO4+RPaxwbXN4/V5ktJGoORPpObPuxvxF2Zaxz11wh6fPusYXMbeplucxeC7eX\n0Yr5ePf5qShaghI0AgDbp5Oqavl7eVMqjSwlqwHKpqkl1JLVEUmJ65gqAdKVJqmqkTATlD1xuK0z\nF6FmRqZay7xyqWsUbwmXYVaiAzq4qaGlDBFE0IbMqnSkxldOHbF4dvLLiyzSXRGNqxQ3EFK2HUop\nNCdoalNnf7fhe1lx6/PelW3B63z563nbeend59RTkupWyTPuvKU1zg6s7yOfWtFUaZopaHMaqUOH\nCyLDUjXOy0SJDgTSupZWmOpo04lrWsY9El4OrpxNc+NrHT59J1ZYWaely+6v0HTnWsz5/p8Z5WPq\nb5183z/QedL4f2HzH1afI83ueGZdOPpHDkQndz9HPWF4dZScl5aVZ5ePXyWCpCqQ3049Zd6lwa8+\nhpltmKNJOdUtQAAEIaNN+TpM5v0JfN6HgdKy3zfP7pqreWkvTdRZ27eVtL5Hb5Pbc7a8kV61Hj56\nceQtcwChMT3d+PPO1pjNzvtz6xvDKjGw9Do49Je3zfR8er4ezy0jn0ipACaViaYlQV0cu811Z0Rx\naRdzRmxLWbM2MrNtYbSTSa9GNTIqmrXSUShpUiVCslBVVopc3UIMYUplSqbEirKqdZZioFU1SkSa\n5pFiYhtYq7TmuboBnV6fmb5qRmK51Ly2zM2UmLAyadt52kgdFUOXPqn0BY3Bxdvm7lcPsB5ZvmYr\ntyswKVHa0Zb64yXNSYyuhd8+iDnwuS8yxiBwnLmXmPfl0NrxuNETQ4sQ1Kmwe+WqU5pduznzl6eb\nnpdOVCc7zmtzPWNLw6T2fqPA+mrbn5/Ps7/C6eXOoOO81a8uR6HLOVnbfiI+i4stI87t1uurx/R8\nqjQSXzujQTMuD1cbPLnq5bGnZPTtpLz0iMtNNFxVSgnJjNxqDTEwEHSZ6fUXHjY+1kvzWfeHDus4\n7uDbsl831/JyPpMPJ6q7OTsyjlmPQrd32L4ni+94q4NrWJGgBnraxvnXBnt6KefN91mfHtinRy6c\ni+lr5/XHo+b05Hm4Jaky0qVISaEBYNWK1ctb8+suBU3MFlVLEUbZAilmahNJprFzSITXSNeeABLz\n0yW3WampFbkLNRpmiZFgmqKntjmfdyxkDpS5qk5QTKluoYmOopbvK05LjShlmrZm9HP28Y2bRnpl\nrWE0VmVETSKQxFplquhcR0+rx6HEstjm6suVO7Xy8zSJquvlZZG+XTF410LcmRJz9pJea9PNeEhI\n6pFEwmsaQ4ee0RnVFLSbjSUguXbJoiWOK2z2RU0cM9PJNdUXmZ5kWaZ1uPVXLUCPS9DwPRPRw35J\nc75Ljbl1yLW2NRUanBN5nZmtj1OjyPSXzuas0pObFc0FS1rNyl+f6PPZ53fh2Slqpead8LOjbipD\nNyNVBlLWoNA0wO7X6LN4NPIivc48OI08/XnOnDaTr9PwvR5683m9fztzs7se2zndZS+V2Y+1Zj3Y\n9+enz/mfQ+MceXRjrEgWJql97n34MtdstKxqZSs9Qz5O7irTXktO2s814mglMBNCTQhsKKKi4Wm5\nkVZa2QNVFtJaTgjWazAHpnUtZ652Tci65b4wmhElTVzoSxDLNZnSXr5ennIis7lqiq7+PXF146gV\n5VqCc2NMpNqUQkdSxuQdZoNI0p0qjtjozlymdzn6MdBVNCzaFjvmCQAVY6trKHHpcXVxmXqLjPc8\nD0vNO/y+jksh1B0LqyMemZOn01ynHEbE1j2E85C1HTzSaXCWcc9zSNJM7z0hy0ul53ZKqJdBOwYh\noFE1F9GG6DTDaPopr5nP1PNl4MPS4NZz0jorR6c8tarWF0T1n0njfVeNZ4WfTy516vm9/rp5vP7X\nVb43T6vmp89w/SzL4M+pxGXq+X6a+XltmztPR6B409/FSaBKgrl7OQNZedW1Qufr59Z52JNHnqLP\nTIwVTqAAb4by/Xa+dpi4+R7/AA6fP17NWcHF6fmmh15HJpmR3894rn6ng+onu+B06Vye9x0d/Tyb\n56eb5Hv+dL5Gek6zgt8rmLnQ97yPZ8aOnaNUfB6nm1jXVxWb4iMaiqaAlUlgCBMJGxXUlVlRU0Cc\nsysaQPM2vn1sJcS6OashrRYjVRCaqkEmsW15wKZpOdaxpmuNTpc0tMo0gmwlgrTNAIIqKKh1UjSH\nUqObRGrMDfQ460wLc6GW2WyjdGlGMPt5dow6ctawOrIyjSCufSSVUFEbWXvkSx0c3olcstenz+rg\nT6LwNsE32zyrmR6VcnteZtk8u7jXs5Y2s5d+bY6coFyVZGguaTbkat06ctYsQTNRFWroGiGqVsSV\nNSAlFOWbb8mxTzpe33fO2zvzOPbEnl6os83fGtZ1znoju2m5a9rwfuTbxPe4tTyq9i5fmD6Djjh3\nw8OX3vOwyzbvBL15wazl6nmh6fMMv0fMk3nn4bLgZTVxXJ08xZNzVVNLWG+dzyjLlVRETrFuGe2N\nyAU9sdJfajTqxrg16zed9fn+o5vO2s6fN64OFXJfVx+hnXN356lZp3K68+1c+/g9ab+e871ssvCv\nXp3OPPYTk2nsr1fI9Xz5N+mGcOGjsz6eO0x598KdxYlpFOKRmJS0FBTomdIIqbJaskQjJocWEMVV\nntEkXKq7zuUloUUUU1BtihCpWWpbw35xaTpYpcjQ7I6cevOq5NsIuKjUVxViTQNNKzpKa5WU80mh\nLE3ZBcka57KrnWIz9Lzjo2vKNFDHnpiGWuNRpIkNaLz7Y71vz7YSdXXn6C+Vvlzrm0005azs6+Zs\nv3PE9U5+vguVnH3GWW+KVteFRDUvRzzzBmnZV57rdxUUMIWgU5YwRKclgKTSSSlKUmG0bIqNZr2u\nft83G+HO51JjTOOTHrwud+mIrqrPpl5/c8dV9Lj5m8nXl57l7L8916PFlEbQdCzl6e9nl4e9yHmY\netzEc+/GWQK+XWrma0yg2y2JjSKwu4zq6mhzU2cQ1c7AQTeVZ4bY2AFOocd/0Hy/fL7T4tq4/F+h\n5TxK0yFR1Jx59eBHVzVL604+rNeb2R12c03ZsXhnevB1KPLr0/P3Ix9fKa8j2fN9dnkiFc3L3PNU\nOzm2mbHiyik4pMJGjJaZlUmt3ApNQgaZjQJABSrMoRVyyFNyglVOnMNMUZZNDIy6OdTWGaQ8s60y\n3ysd5O5ctAh1euLzXFTYJlS6BKkCqUAFaACrE5pHUWWs2LbLWVa5aFTpmd3n7cp1a8vSLn6OQ0y2\nyJThOjEzNNY61y5eyE6NfR518v2fE2OrL0vEswpdRz6+n451EODfHpXlz7PPqd1MPSRIqOW14sRV\nNqdM6QqQaJMEBLiDpedAAMAQxQThJhdTqLq5uyX2PM7/ADMbwi4sUXnGemPXUzvNg4ys6ji9A7en\nh+jj5zn9jx5Vtg6uLiI15967ve+Y0T6rHyOs0y4azqvO7qPLy9fk04nUWaY74Za05hzeepLm6m4v\nOnNKziBXPQocXlrnWGO+FgBQ0zq0juzXOfn17WnkM7PJ6+E6efpdmJiwKiNvd+d9qXSjkqOpcEdv\nfxd81xdBpLlrwaL6Hiev4rXpY+l4mueOvD2MvfDtPJno1ry898LEVIXNDaYJhOW4uRcBcUOZovPU\nTIaEKqc0SZ04UqZLk0TJ65laY7GY5U2w1AuV0wJHpGhnU9Oac2gYFVrMKpoE4tNUIYBZDkBAjTFQ\n0loS00SDktpIkcujXSNFNsNIjTPSq5uznlvTF2HPqxiREOjKtMzbfmyF6Hl/SGvn1xm3qcvAdfld\nVpwdnI69mvU5Jfn4vWjvNI82nga9WW5zUcJlknYmMnfLoNUTLRNLRIW5pMY1gekWUJFCYJSVUOWh\nNNdMNlfdwenm9PnehwZ3jGkVGekRh6HnenZzvTGyMTCzp9bxfdPQ+hOazyfN6+XOuPs9LyDPIkky\nEvbla+lWWGbuYTL2a8nQPfmdk8vd5up046TLtIsqmb1M7SqLz1lYnXLDi4HmzomoI598ahp2Dn04\nO++qXLyvYVfLT7PkmXpefuc+rizfFBDqQ7uH0Zb4fW8o64iI9jnpqbc2+dcuqtejqy9Efz/ueNrP\nm3XUzxdnn6iy6OWsMerlsTVAwLCiBpW1eas9orF1NzCaKuAqWhNOk5DSLmIBiuRLy0lVcaGej1Mj\nWIclrnnUGl59U0c9ylIiwTVkN6rpz9PPEDLAubJaol1JICiYiYFTUqxMQUO4cbrLaw0y2lXveF2x\nzObL5O7lOjHXMxpYVe/N0HI1ZYWRzd/Gdfu+JuuXo+V3pw43zG2fXKRWfrHBzjN7fWvFOzOfSNR3\np4g8AoVJGKytc7ltxYi5XN2irQhBma6c+i0nKLSNBKkSWSy00rSKW/V8j2s6rj7ePO+eKSRGkRy9\n3Fpqd3F08FysqnUX23xHrx97x8PMrkzxr6HyONVyc3pcqci6eOzaPelfP5ujnj0fG9DlOjbD0Jee\n+8OTj9DydQrg6I2qNjHQiW8dMh6RS007OPPbHeYqnJWbAy3xMhPUr1fJ9OPS6PMwl9PKuiuXbaTj\n4fa4jxJ6/NroW2ElRoqy9LzfahcnUlw2Osz0nSXu5sObNPT4epa9TzPT1Obxfd8c5V1DPEt4K4vT\n86unyevmJYrBpluaI0ilKDNvPbKsSlcwmqGgaqBpMSpDFpGZSEndRcuJ0cjtBKtRNzFqTuK1zzld\nhZWbmxzUFaZUrJSNCKrN2MJKltYTQmmFSIxtZbaStJUqSTWsnbttGkH0Pz5L7PlSzo5qEee+ZzZX\nnWj1xiNSK11nY48tKPXvEjj+k+fxqeL0uuvL9Ly+mHz7QldXLuTtgl0nfnCd/HLwRYNMEwW2fQrY\n4TCWhOxiFJsMVtCQ7SjLR0MkbEmomkym9Fn2/F9vOnwdvBjeSCpi5jmy35dY9XivLUyQWTSI7/T8\nP0c67M9ubG9JgNo1yszqVZ3xhlqWr3jmrKlnu47y3zy56OEy1DXLRPS0nRTPTMnPWZc7moqpenPj\nrNwiQVCKimchcWFS66Zxcp6Xm5nsV57Pay85EZyjs5KwGKrD1vI7468dORT1/D9UTnXOujyPV8+O\nX0vO9Wu7rxdteP7HhSbc3reUj58tbL4unjNOZxZA1TEytM9CGmPXHSXXKmc6mjNa52DKojTOJYUD\nQrkKJqM6EmkUKzOitOfYSQPNtZ6M9M6jIq51qFTipQkAdtcxtJBhLKTaGgFLBDuM6mrBjVVLTR5o\nqIcaKGvZqrlns42SZ+iKI6jiISEWqOXXM2i4Oi5sPR8mC3l6xPB9H8yezPN5tm/TfIdOvRkcd7ZS\n5dfNB0YnmhinQAg1oQylrSaixME2o5aUnBZNDBiGlSdAEJoRRaCATLqbU9rx/YzrPg7uDG4BIk5X\nHm6ebWFpjWsgFJpxp63j/SS9nmfT+Vnflaepy5Y8u3BpvnWMnV5/oefp26+badqxuajfKMt+H0eP\nU8+nO8nbwetF6JzUwNIw35q2rHphNNeSaz1hhJopCgDLLowsTVVLBahkkaej6i/Ox9N5UcvD2cop\n2eolSOz1LebWeO9c0c+R3+lz75vlLptTtzmOw5no/B9XwY9vg7vNsy7OATq4piriiyBgmMLhFkuG\n0LVZshXnZeVIBlE0RA4q5ohVBSYxD0TOipc23UU2CdRktZl0x255Z2yvWdHFqp2wSLWokEsiLExD\nHBpK0MlrnSAhiKaohVLppzDloYAyWeltk5X73idqeN684mNrnLXRkacvXwmnH38VbzOw+jEN/U8/\nNYzjtTmyc2Pfz+47cc/pT5zTo4I7eXXJQOAWAUhgDYmUk295c3Qs0AJwOo0gm3SoEGiAZSYxDBNA\n2gYnFWrVez5Pr51nxejwY3zqpRRcGXP0c+s5VNaywVPo5/Vl1+sy0OrxujSXDyfT8yOTzOgXqy2c\nLzu7yrNc9ObU7NfN9DOtjn1xd6wVl5mOpt1Y9Erw2wmltndzjntNXV4DpMxipuZz1zshthQFc3by\nmFSajADbBn0D8Ry+l4etnJfTzJ0XypavKrOj1vF7829PKs6OnDdfoeNZS8vT53cdOHPvC7fJ77cv\nB+l+ak9I5M9SOe5RDqySSmJiEi5tRAwvTDVcbEEisuHI0iqqHFRbrK4qIVupBiqKBuYoaBqyHnRW\n2LzqY3VkgrI0jVYE0GUuYJHLAHQmgaUGuYySghuaqoI0hgm6MzRGZrBNb9QilL09XHmnJ28ncVwe\nhxL18W/MnRzVRllU1e8VGvRw+zVZYZg+vy65s/ThNu3z6lUe5wHFd2HL6flEcIxBVIYIaCp0NNKi\nE5tUkDmkNpwxOqGkGgYAVNAgAAAAaZrUs09XyPXxqvO9HzcdMZpIpqFxx359Zyae8AA9Mmev1fO6\n5vuP54Pc8zmmu/fy3m+pPlh24Yuysg1FcC9enA83v287syFn0i7fL9BdEKWaCufTLWFKepTTXHLf\nn1ihVJAlW8INcbk5VcagABXecPV6HLLn6zzJ5eeUnJ0uK3xR9nJ3S78Pa1511dpxdFXLzHH2Rp38\n0V5/fyejL0+B9F8nl6nker5W88x0Y6mdzKMVUJoYBVO83Co0sQOWpuSFSsiamgV1F1JIyFOiFaKm\ndMoodErXMuKCNstCFWcu+PVyy7ZisGnYaZtZc0lJyqCkTcDExOgJuCVVGbqaBkIvSsC84pxQxaC6\n8+ksZLmqkq2o5u7LWzfz+vlK49MTol85FzVdOVKOrPu8mun0dUcHm9gZ+v5PqplzYe8u/Lz5E9Zl\nG/zRFIpUhBQguGxdU7Qo0ghilmlVAqE6IGFMQjTABgIGgBoAAKml1YRXq+V6mbp53oeXnakJVFwY\n4dGGs47Z9G8cw0AAgAAAAAAmkJgDQDQJjH18txvkc613+fceq+XfG9giqWbSXpCtpkc/TzaxNzpZ\nkaKM3JWhSMMujCkAb/T/ACXonu+N1RLyvDhs6eUkrXnpN8bRXq+X7c1njt5p2aeb7KHR2c6+fvrr\nLmq0Obk9Dzc3p8H2vGT0PO6ePeerCasiKiipZQA0Iu8alm0DqKhw5qpV2QqglsAFRcVDTk0zqCkB\nNVAwQxAykJOpXM2ObEyKVS1ZNKhTcipAJooqC5lGjiwakvNFAODbINlFGZpBFINdebU115w7a595\nemPR8w6OLW5OjzHnW/n9fKa46Z0t8dDXt4++MPS5cKya5oc9uVdNdHIcfX15i7+TqM/H9DwYzpVU\nsdS6BTSFRvDoS2iRS2IAdKkTBUwgGUmEjEqZFRQigCUAQqat1YSV6nleznS8v0vLxtASrO86zy1y\n1nPfPp1jhAoAEMEAAAJgmAgAAAAbQOoUbZa5AFrr6PJ0Zus8tqlSy0qKtoAOXr5dZmoq5c1JBUnX\nnnsYZdOVYCdiuRaytQ04NZ0765nvz5YRrFj9XyeuXr4PaF5OnzEnZrj1r5npeN6cb+h5vYvmcU+o\nLw+/iTs5fR83U59MmOG7JaBgxABUsApZbiLTDOkVcVKS0hMk00xDbLUMlrmTSQ6AQnTHMVeekudU\nRlcGpqm1zCUVzQnNAqQhoQUNNkTchUoaGIaAQNywqWNyymmWkigDr6+PaX2eJ8hT2iTkvj7K5uXp\nzBb5VHbz9x09l+fFc+HTTyWBh1x9Eef5/wBT41Z873is8OQ5pTFU0CKqWmIGadE1ADJjTMGqWQoG\nhGJjAgAtYIJqUloNGmIBSk0BybOHGnveF9DnfmcO/PnQhZqjSKzx2y1k6+Xq1jzlU2AgYgaaUAE0\nwQAAAAAFIQICnDNN+ezuR7ub8teNy9OmOs1Vzco0Dw2nWeW5NY0lWZK5I6MrLy0g5TTOxidIAfYu\nqWuM5zTG6OWtpKipPaSxzWdfHXZ6nj9Ry8PoccuvXzynB7XiUTPNVnbwdHPUMdgOQTQ6ihzUiaRY\nmXFzKwKScRrLkFSsU2iVoi5VkIChIuWJDctW1UUys3NpUnGuszUEryuLKBkukNCAKEJiqQc0EgUm\nnDTKE1CKkGgaYDbE25V0YaGrw3rtWvDl38nZxpyb5qkZ9Bnk2dHXz9VSvoMzwNq5kvz+zoXi7uDs\nOq/NorXkiMeUVMCgahtKpAK6I3ipYCAM6kKTUAAYiaYwAAGmSqaViGDaYhigxEDLZUu/t+X3Z15O\nYs6UqY0SDPHbHWdd8tNZ4JubErFgoEqIhaKoKCSgkpkttZLJJHRmrCRlrBp3eh43RHJTma31y0zr\nWouURNlkFmE6Y6zZNICYUgoQZY9GFktOmgl7NpmXbHjmzXGZTQya0wT1Ozh6c705+f3K8v3eLhjP\nt8buPb+e7+azy57fNsrXDVNIvIrNqhOQEwaRaGJUEjSjllXlSMm5SKhG5q1ClNAYtcNjKKQnQTpF\nDVxBT0lm4uaxTiw1z0sFviZzSsGMamlU0kdSyaSGCG4sU0ElFIYDTh1FGa32Tj3+q9GvhD7Pwl86\nmS4R0ksPT1rnHH3/AAc3oicU54RWPdDOLp5/TqPYjmT0VrxHkdU6GXRv6p80vR89dMHpLXj9HGiT\nNG5Y5YBUBrPUMaEBAIEqkpAAA2gBgMBDQAKRaQYAAMQMQUKjSpuX1uh1nXzuemUsok0cOWMtIueq\nkt545KEmQA5ZVpINHbkUqRpUZmkktaSy7IlqRyKwFdJ6tMtcNhZ7YLvrhrjeziikiwAsMNyzmnXN\nDTOylQTQxZaI5RliGrerr83TL0+Tns28z1eOzkKmumctI39nwfYzrh+i4JXXg0xjgO7Gqx3wsrh7\nuKx746yLKStJapS0KpYUMSaG01SoSDTNQElCAlqVXKspVQzOoc6TUFQuqVJNNK0EXtyuXaisazx3\nWpzUPWejBSMHYMSpgjmpBoHNSKxkjJUqim5aNyFkhUoK2wo936P4L17n6vG3vPz3nfYefnXzk+jj\nm8hXoSxwdnnS+jhv59Xz6ZnVzb4pv6XH6FU9vQOXwPX8dMvQ56PV4u/zbe7o8Wcs8a46hiBqqTEJ\nFAlpG28aEy0IYZO1Cm87bQ0GAADaCkAAKgYIEbQAAADVInSbNLjeX3+Tr8rO/Mz0gibSJEiFSdeR\nyai0y0CBgrBCmXVQ4JSrZ41LSmE1vCjWUShKs1IAU1WuYkOnk3rbLoUc+uG2d63na0AgwoAsjLpw\nZhgUxiCzGijDPo5qE1QmRW3Ozs5Okjim50fTlULoyUel1eT6s10/O/SfMR0aR1anG8us87PWbMya\nRFzSTBIC00AgpyCqWt1FSGVwoN1KpIhoaYK4sS0cZrWCRumnK2k4ZplEImu3fg7c7caTHKaxvEzr\nJAOwauWZqbBMBNFCYCYqkUltIVyAmNgKilblwbP3Ln195rrzaZZnG6l+N1T49eeO3KW+HtxrlW2N\nbzrpIeny9NYdmXnp18e2a79vB6hzYehzHl9HT5MvPkyxNWZsdMYSmQbKy7iyBgACTRM1KtgUgABB\npgAoAMQMQjABoFSaMRaXFRr6Hne1L0+J6fkY3iqkmamyYuCejm7LmePr46GANCNAqTQhgFBBaEqQ\nhhLGJUgbBNMYlDQV23x9Sc7rPO+i8tM6ty7G0wApxZZixMjzoqsdBksnl6+aoTdiGKJqEwhD0pMx\nOiMka9vnb5vteL2ckvu8Wulvi9fJ13OfH6PDZzvQsyGAgEUlASNAOs6BzappQAwGCVSgmKloWZly\na0jNJaIaVA3S1i425t4zeYDcv0OLqzvbHbhwnXn06YqVRFS0qs6WAdgmAgBU4jSSmDMxgigiigd9\nBx6+/wC0nzPr+u9Tn1vCw04eyyiiyGEvydVzcuumvL1pyc/X5oEdFZe95nox6vDrrXj8N4J6Oi6F\nw20DXLbyyfK2xgAoYVI6ilAJqy2I0uWNEjM2WSCkFpzSNAAFAEMTAAAAAGADTByDEwubNPoPA9/O\nuLzezizqJaJm4SIvOn2cvRrHNkCgIYAKiJWkUmmMCAHUpqAC0BiBINANMBCtIQ6uajty1Zz646Y1\nrWei0JhSdMBMs+jG5zKmlcaCqSKw1xqGFJoGgEMhdHOzrwajLPaKz11uPW8v6f53O+7bjeb5fT5/\nodMdnn0zjz7+WxT1YmNIEhiVKpKBDYk0FwIxMompSaQqm0TQrikU0Ca0lxVTVyCVrlUaxUy8zVbm\n4qzrqydZuXP05axlrFaZspE05WJDkSFS6olq3FIigkpKuvk9pns6vZNTkz7uI6NsdrAIDzJ8fO+P\n1PE0k+6vk6d4aRb8lvXVy6c3LlsnHh0ScnocH0dT6fn+ger4vP5Fm/T5xG2fZ6y8bfBH03zy8fTJ\nBAMJqSmFkqlBpVEl1QrDKdZiGxVNSIAbBBgACgIbTRoBppU0DE0aCgHCYw0izf3/AAvczryOXp5c\n6lNExcJnnplYntz6jAB9Gsc11a3PRlmxwdnHYNPUaZANrI5QllIoJKIkoqG2IAAUNCrp6eLsM8uj\nHNrTHSXRzatpgBTx1m5xmiyWgYAsdsQHIAUJoGiAYIclyVC1ln1PiaY43eVY5vF1889cdWURZ1PB\nxtlz6rJYmYyom5BkFNOnFIQWQ2kpMVKlCuLExiT3jmnfnrXXLXN5p2y1Fc0O5uKVTLz3GuprrpWN\n5Vzu5vPXKzJp6ksBha5NyNVUmRrnQJq2qGOohb4pP0fB9TZ1gbycHfwHTrjtRjrwR4fm68vPoa46\nWfYdfB375gOvju/m05dctOLY5M7lNPpvE9GufL0PEM36HCLu8/247cOQp78SPNwuAABNAUhjKQXF\n1NlIKVIGgEmhRooyoFbQgADToAVgQxAJCCYqYJQOk0QAFXGh2ex5XrZ34vPvz5qQomLzsjOnrO/D\n18VmiQu2rvNnr5/RVeXfMPOpsBOwckUAohIxACCnLBNAJFIATVNMg7OPps6Mrkx0JxvesrXQmlAL\nGKrMJ0yZBFUhBlpmIc0JoaABMbmoJbIVId56x61+nnjp4kdXNljzdT3jkjq5dRtOs9YZalRoTZnG\nmVVNCTcsZSWLkHLVNy4YmKooZ15xydnJrY8dplOnn6c6xWnRqeVavUWk3k89cpc+nDttepjjWMVh\nvn14ippzYJoKQrlpFchSBQZE0Bv7uH1Os8fkfRrWeD0E0E1S4e/gOjbBxpiZrx/MfR/P43g8w+p9\nn4T1NY+pPF6K82OPLl0NOnkrPt5fVOmefis16fJ9o5PN2wPT6Ofvllz2J43l+h5VjTSsAE0NyxsQ\n7mirjQTFTTUNCpoAQyVSlBCAANCtNDEDAEmImgoGAADVAEVplR6Xr+R7Gd+Jy9nHmymjOLzTPo5+\n3WeXm6cLDr5emXoyTmpjFJokCTVCpAmIhoEwQwTbVMBACbEkaAGAxVvhadY1YY6i5aZvGt6zpqnL\nGBY8Nlc5TtFkpyTFSEuaAEBNUwG4qG4oUuh9nL3S+6Y656ZeR63mZnLqbHDxehw7zpOsWdGPXpc+\nQDWaQVnSoaAGQm0IvtOOPYyjyrZQMM2iutOcufQRthvym3R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7MwGY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R9uB3yQkL/3IcLntjBnIlvi3fbplNarkXT/AIM6k44fsTgbg8ZHB+rOuDvYx+BvJlvIO8nA\n/S6o6XC35bB8LXUb1/bTxW1rNBZrneRRV4ZIidftjGT/AC45LfJ0nTMkJLD12LLHmbOb6Uf2/taF\nsQzuVx3XbhYDe7AzcN+5fG+mwK4vYiYJ2YC/OM7Ku3ABVitcH+Xp+Q+89x+r7sOSM+4sa+WFc4X2\n09tXH2FNne3rbOx2OQ+rnFp4WmD9j/1ZlnmxEh4XTXlgOS8nGu2PD2Ix/Fu12P8AJHsi+Wb9y72z\ntr/Ld6woVbbkcdLzy/ID6TwYf9mPob7g288nYz2MD7j3y3s+xyXWz/J+PvIPsMPg9ss5ZYn/ANQC\nQQWWf7DPuUkC2diN3LzGQH1gZILj5trmX4ZY5bsjPuQByBZWRRirGgZfh5bmto5aDk29bA58Hdtz\np2UmyD26h7fy6SIGXpcNuXJF+p6WzswTzPiGay3xIOz1GvY4NLcf5eh5sdtnkaeRr2bufUTh5bkt\ncg2fIdbAo2Cwz7vbOSY45sxxD/1cC66sr7x9sHhZ7C4x+kbgB/x6m5dHvYqYPJTERmuOSlu/Xdt4\nSJ6zOAeqYiYSHdexief3CB9AGbzs54WcycDg7ztweEmIBH9Jf9GTfXQXBweI/wD6sIGjjkJc9vau\nWiz2AuvbbCBfsuzjHNJ3Hh7GPqnYidT5f2mNJFmifjGeZoT1M+s9mcBO+s1UEmBD+x9rLv8Akd9u\nmPp2fiuF4i9YxWqX3JSdRFpXfPuRrXqRbf282IN3bq2XI+vha5+zDJiPWROZ+gxIhcASkgcYQxA6\nDb9lTe5uxygc/beNQy8OwXn28tvJssYcg9UnmygTdRaQGLaHu7IXjHYi+Pi//wAzNCn+t/3sIn/4\ntLIfqTI4OcCPL6uVqEH/AGhsG0G9tZH2e6oRsKppvBsutkp2wuRzuRmM9ibOba42NhiTSce0e/cO\ncTjOz45cQ+7Fp2P/AIXwO3nwIUbEnbu2v3Hscvv4Pj1bb0R7Psdg7Hlo2Fz4uQXp+SXPqzZh+Hvw\nFnCOW6zHwEw7yz+EHyL7Abjdp97F4wutg/EjSR3s+2wz578srp9mnTz4wQNB7BEMGchhPIRXvC3H\nk4v0ZktJcTJ4nS9I9IeMs1dZHvIehcCYp+QdS6lnDexMY8IJHJ/EEnfgGTfV6ljOCQlkLG2xeWcB\n2HiEYHsTSzkjgyG5+ZMOzDamehywOoY7yeD099ibyeZavz7wiuDvltI68cno/wDRyMMdTXlg3/mt\n8gI47Mh9N1kRHu3p/kYc/wBv7gMOxY4ciRPWbcm5s/STIX9st9fumOvLg5MaKbIds/6lr7yN3QY4\nwx9QyHnVElx7O7vbkp9D7PmwoHyV7Y5l9ZBrn3aRQ6ba5cHNsNHkcgNHuQbQc7agD+36J1k7CbL/\nAGXzTZAfDbcughSGQ3f1jlqv+tsi6fkxEz1IeGrYGc6YPNKH1aWXe3UU53yO4SzhIPteWQQ36tnq\nLgRZvPZVpw/tuL6w/wA9ip2fc2Y/oQ4ofkTn1+2/GCFtn/svUg79QR/hIH0gq4yPXCJb4kb2OqQN\nxDtswBnHDy/qLgH3D5pCFPZoD8h3Y5v23/avKSwPSM7I+W3+S/3HGWR0+N5Lkvx9fgCXY69k7sPQ\nh1Z6XYMn34IMvUGG3U6LLk+2a7Ps3+sOcnzsc8nb3LN+7Mg6/HDy3v8AwD/EQd9gsg0g/Ye2YQO+\n3lg+2jjfg3IXuRt7AvGD9wHxs9ZMOW01v9SLQ+vj9PPu4ckzkjqYTPVlfL1klWy5HPJwB9XtOKet\nh9j3/uGR54vAQNffxP8A8Lk+0L5Ao/LwXr+3+oPhI9tHYbKHlryfx7cF23V4yDvx4/kAkZyTFp+s\nOsjQbFOAZG3YR7Hlnt9SIzGVUP8AqxX1IA4JOaGMSjPQtO2Pgyad19Ijgg26LgMeY9gyh+38uIAc\ncv0U5aM48hdDfNycg9cb2DLvpLvIhCxkJnjGX8D3Jhp9/APxG2R0OmK7y0MvC1Lpsvbfuy/vzjbK\nvSIv+rC75LYnBy2HIS15DQO5GZrDHfuVp99jJPy3SR7/ABInqfU+XIOwz/0YPoQjPdCNPqkRoO/U\n+T78vuS0cgbWHec/E1Mi98l6E/y319JOj/qb6NZk+vByQvuZMC9g7Fc6QpT/AMJtr/ZNBhUdDs+m\nPE/dZfV4ahovzZJuAWDLq24MMffiRWE7f7to6ycMCZGLdJvt9iGHfY4Rnosw5ab2SzLDS4jZ/ozh\nwh7DwSAPq1BrbkQP8XQPqzxjkP8AxZ8/4GWMsWTxtR8ffkfHifFzz4dvWyPsxick7b9fFLw8v+pc\ncL02Y8hkz8f1fc32/GRef8WQWbBZBthHw/2P6yB0jzdnsKeQD/JB23zfIH+IbP8AIRnhE/Uc1Huf\ncIuyHbrcbVWyiA3VKOsTL1Ivljs4YOlj4iP/AFL9DZK6Ydh8JcGXybSHfI43tkHxyGSH1et24sBe\n2D9xmwOrG27yRmNj9un2DntpnYVh7Jh2Z84LdfethfbIck+yzwHtlv3sxRjvkTCdyMTEzh+kW8PR\nv5GO15GT3ceE/JDpRhxT7QMcTf8AqZD329gbCALnuT/LYZzOTdBokP3Ec7KJz21CRku4ZAHjuwyw\nMeuoYQHL7gVnzMyIUZjfgculzk8dv/JuVN7M+Nh17Yzxt2fdl4b0LajK5FB38/lgd2ciXy0J/qd0\nw8uH3v8A/fcrZ8LaT0M77lzn/DqW9FiYR/Q6QiHwhgf+y7Vgthei5EjFY+qHZNLniZ0BmeAK2YVK\nnlvu+W2jMnRe+T1yInkiPOxESzl3P15Mb2dKXN+BkIv5bOt7jBxpZrhjZHS5g4wiMHJmLss3ZMUi\nNli7fhYahL+SIP59wZdv0l+JakfgwZb9EiaMPu+t+JO/D+r7yXRPPbSe22x/wfpvuvXbexuyPdjU\nJ5kcn/J9sFs3/U6dgws2DPh/sB8M8i+49f8Agvqz+x2CPZfGOwdS8e/DbbBvlj8P+vlufW26eWZe\nxyUX2lkLJnEeJth/Lb7kHWL7bAHeWN5PLs+8LLWSvok30tBuvkLHblj1E8utrchZMR9pc3Yv7HhA\nSy17c2L6l9WnobFNjJnckce2I1ZYBAI/U7hZHuzjs9C2eBtw1JT1scFfbZu9gTPhBQ89tiMua5vy\nJOIcBlhev/u+yU7BA97O6/eZCCm+UaNc/LmunkB5z96g2fWnGSDD+O2Kn3KE9naxIBfCbFk8GfV/\n5LyxP5Dx7fU3HGeq2w6RaP0TlPGWX/4zxt9l8OvnkqLknOk02eDb3/q3fg+PXOWP+vJcLpuWDtNu\nQf5vW+nbwiuGiLdo3WLZ2BTs32qyL8NWJQ6mTxn7LJ1bbHwhh3xOUC4HYod5uRQZ90lFxtpPlzJQ\nJJ+NiZ0Iu15cgR52yKf+hHzy/wCyB5SdG7MgOsbR1raesGctXJ4GKXv3YWevCPPjNctCQuMts77f\n1Z2fKe23u5x9RDv7KHXjyP2++HHt158YYYQH2wHJA0jJkCJwwcM/SgvsYY+Wf+GemwgzxJBduySG\n2FhYR/wNF0ghGwdgyXT4723sp5J35fI9n7+M+c2fb2N+Pv5Dds7lhkbZBZ5BefG4/wBn55BtiW/0\ngz5zvwb8Z8Y/H1yf5dD+x4FvZZ8+7S9muOPQ5Zz0jUtDIBjdhz4WRD2RYWAjlZjYbM8dJwX1l57b\nhPqVs2xuP5JD+3k9JFaB/kIbdSo55aAOkqzy2d2DkbP9uCeyB+zpxinOWoDk7A+zA9bMDCGgP/af\nWweTTpl9xYHupmpAwc4Wg6f3LC/i0B0jcG2i8TTLu55EtGLrfImD7A7IHQace2sqXMyB+T6W0h36\nuOpwswB4eSj3lo85ePDLR8Pvw1H9nL8L2n6TtP3JB2CPECf1pP8AhMb9+y7m/Ujh9ysekfIxCLh+\nQgcFpgAfSHxOT1JMTMYBV4+yv0jvYCj9QaHESMfbt9yUP+BxhrM6249yNmBPowtUlOgE2YT75NfB\nnEi6BWyZxrvAl5GG9+p8m75kAE67DjxF1z1l1XZrVvTNw3r5fPk0b9TFqhMPuVgGfyAJXCcxl7sq\n59W+BE23t/6L38B1yfXnrf8AS0+rcv4mM4Aa2c0khuw3P2JNdgcJDkX6PEb1JGHt7bj2RPf+Yjhq\nWC+n+3kdmHL/AFH9s7GWx8eR/wAA+Dy8n4z4DSDDsds/kQIPy0luxuseWdsss5P+I45P+QHtrnJw\n4l2bYm7ZCzZE8bf23nLMuEAfd78pv1B/I5+zDoxmDG+bLjfID3/3CujAnJ87LgbAyPBDFgP+2WBs\nc/sazKFhplp+pzBmWTkL663TpyQPOxhh2XKciHgk3jv8vpF1fVgTD7ZP6Liw/wBWPJ7x9h9Gwdum\nHa8zwjRed5GiWEhfleNS3UDnsGkzyx0AxjUJYi/wuUH1D27Alw2Y5ZPSUQEfUlEPGJI6N/8A7knN\nUef/AMkjbd9NgL6NGFNWfrCD0Z3yzYy+ARDaz3XkNE8zkr4e9yH5mXTCdH1b4ctruQ6ydjhJ3fyb\nFNyYXHJfl9SYbc09WQ57HABvGg/V6H79S95EQ2w+M+7QQd+Qm/yf/fDeTrcj4LG7lh+QxMPPIIJv\n+Sd19IE6z62Wvp+W7GEF56yd6ZH7sc2yx+4Mh/6t4H2dsmT4pyUXUevtyU+Dn/5mAx8zn/5lqp/r\nOzV3zNgdJu4//wCYADMzjIlrv3GYnHLdBcg/722X8ge2kPZBsyLj/uOZ8ZuQhrFjA5Zy/wC3K7eW\nBH/qZhujSz+QIW0fq8EtS9y9g5S/NUom29h7LCD+Aw+IHVoUZz/bY6Rw8jnrKMT20mRP+rZlkHJc\nLo5eyR/zEPJ9iY+R+Dd+pWP+B8ZZHzn/AADWDmQQYeXjtunCDyz+fHLnyP7Dy2+rg6wj24+rfAeT\nwPsbYeTe5v8ACEMvtp13skg8fnsgyjIEyYt4w9hOz9CPeQa/yzvYBQfJzvU7zLUCw4JsJm4A2Dlj\npOT/AEWRHqPuez1C5Yd9XFU2afCFXtuPr6vrjh3w5KHnbC5rau+EOmEuVZWX2wZh32HbKGH7JkBn\n7fr9waQBhfr4N6PBtHG/9LNjjbZnNe7Jp14HZgCQbRo/S20AE95aAeMWVxzQy0XgAzloIDPBtaOn\n7iSNT3kR1Ovq5cIdz6ciQDr97Gh1z1szRribb+PozZyv2aN93YzeS7HSZvMOnHXZB+N+PtZPluEn\nl1Obk4frpbB9Wp/otQMTSWICPaz1A8cbQXdbBwsl9EwLfOe2s0t6JZZ84zjPP20Aw/HBhefQ3ty+\nj7wsIHd8gUvBAsAM06cJ4g4d5OL3gbD4c+9tG41yTnISeMhywAf6tAZYjdg6+QzH17tgKqubGn5e\nbbeynoX6I3H7jaOzDOQz1rusNFNLBRewidX7tGd6z6sgbsG+z5sFO2lvuMSuC19z9RHkg9m4W117\nL2DZh2zfIHYPsn57IHZSh/k8ePbf7esHbFw8gHGRwe3F7d3YA5nxBLrdRwkdUlv+H4cPZc8vO/U9\nfj1sD25+3Ln9n+QbcPb12zvL7j2X4fjtlsGx8ffz5/wfr4DfgP2z8Id340yHnsewOch8Z2zthB2+\n4BP7FxCuZfW8f3HTGwdGMZMaA8ZBz6np5lzTSCOfTdJ/LFRosfvC8XrtjxO5t9dkB4X/AIIOEjBP\nXnZOG8mI1sQ8m5wsevF0Oez7rIz2P0ayuhLvPH4I+4GZ6kju33PbAHPb/E24Bcet78AYv1KPtD4R\nRhHD/Ijr5AP0LyP8jfRmI8yFzA1YlxdLoOBP9Snm8ionraMfX3KmyT1s5sE5tsPCWvoN/ZzzhvsS\nLXxnVnSXmwsTA5IEef2Av1z2EG/eJCun/wAXTL6fdyDzhHxNzY22/RBEixxDR88/8QgOnTZ5yf8A\n2m9/HbdGohc0jZ6Vv7lSGodkYcS+uX1HvwvZeJJY5uX2Ja2dh9JIv02DfQ7a3YzyE0x27/f236ek\nPTl475+REcc7ZhyfQ5P0g8C9jTOusjcx20vsFLxwwkPs73kRJ0ft9iLmwBuA69mnNCH06/AuX4uw\nOsIgcYcf+8MAe95BDwwYUrNOjnbePUm09NgJM+nclEtbbJ2weR5sr4OZy7vesJmc9/Fuyn7XUraN\n4S07PxxyzfJN8sZhBSfVg/2Ru/UTZM8j+z5Dz1j28Ni7vtxIp5HpO5y8T7O8gHW5X0/ckC4f2V9e\n29TL1B2GR7YtHFg28bz1nX3b+Q4rmXDAvwudvzYinmfPk9vcP/DpB4/HkeQ33/w5+/BEf8d/4b8D\nkHX4yy8+A5Hp8H9+PW5cbSDC4f8AZcOT05OP8tU/ZBw9k2wBpOGSAN0wEqheyNXDt4nsQZdzpazs\nHbclIGQScivhrJwggrf7Vx5D/wCYXqXnPqZmTBJ0t2PITv2JeSlmTX5HmHWW9eXgeyTWTiQ9/wBt\nMblia5YNWRcPtgQIB2W24MkgHlwc6WGMea1yUHLvZIDssDxbcHMv411b/Lk3oO3adLnR0e2yGAzY\nFe332NiC6rJEaEPSQyO+W++jx7yd/wBxstG66zJRVNk3AHmThPj2IEdcZIft7b3P+dsW/Qkr44kk\n7rz/APiyyZOe+2h3Ni/o3/vRDBnqJjAhj+f8Mdkth+Ox7tkcE+5kPq0f0SBBanJEdXIO/sG53x8s\nhPSAPscJdj2ENpBzGzE2HF23tyD7C3Lue2Cc5PsHOBCT06dvA+0AR0YlPcprQ5pBvnQx5dD8zJv1\nT2Sme3jfu3Rg6sExz7QXXdmaP7tRYDMLpvbPQw8QQ5ftNch4ORfpTO+0vqJXfJ6/BBYekgy62vr2\nXf4fhHHUvco8LEZEYhb0yyOH+wTZ8hsAC82+xfLwATlsemfUkJfu68J8/uIx793HZ5JD7LXIEuVy\nV1aUB6cgcP5Cngjj2e/5vmnwnp/we/jPjPLPqb7/AGfbkXMCN/L7/wCD8B5Ef8F7Hv8AxXY8jh58\nffx/1fXw9HINgYT5IH9uabDncJ6Mix/zcKwX+S+vMnz+lpw+vuN57DdMQxcgfHk9N+7MQdtyOo0a\nzDU8sdCw4yB8hF0vbuxPUqpTy3r/ACeE+gtNhJy7uWYb9Rx/Zc3JMQdgcw8iG5Zv3ka4Hf2GR9Ps\nqebOm8JY5HG/ctc8zk4uJO8cyQ5bUbbzLb1sd+lqCn7lpr1LZqVB8LaDQ9n7brHbpB6z3B7HbW8F\n3kb2UgZdj7ArrJV5v9uyooHrz4dAafuZt6pYGewhgHNWMpm+P5d4Q/8AMr+2ezLr7bj3RuvZCfB5\nD047kZMDmbaj73C3Pm9yHwXOdvPb62qCWKI6Hra8uFfXbwIZNUv3I0+y3dwlH9hwHFneeWs+Mtyz\nRSzuRtPPETfEsPBxSTzm0n1HWPs5nYYRmm2uPQnavqI15PhYZ+s+oQoxDk94jbt0Q6XfF/auwt3p\n5ZWcz/f6yQIj/pKc4jl31h5PJtFeI1R95ti8/i+5mRHf9s4/bBwl0PXZ4xgy1LbNV+uwZDUaWp7C\nsTPq0G8JVjpfpJq1su/IgWgclfC3MyANo8e3W/hZ1JnmVRGbG0nZkG75e8dgMA8jY5YdPLZ+J8hE\nPgP6SSbKzcS/bcSK19zxgfCeyd5Mn5CGfc/dtOwrpkO9eWZT6neB5E78gjpnE3m+23nyZeoYZnwH\nkHbyfb7ny7B3/iXi7/x+/wD4JxN/9W/JwgPt9n6k75DXDyWe2GTOPEPrbc4bpmwO7a8eTIA8tD62\nDnkBjJg5MoYY+S7oi+vLPs6I3jr0XNnQbTl/0pftt5AMtMkPfbVAxm4yj9W455GGxnRtm/Uhz6Te\nof8AzL1sGpvkyAe3UWPvLxsP3RkfBf8AWYdD/wBycB/5WQIn8bx0fuWwULYrkmGQB/YRsw89vCNZ\njDxI+Hp2HDwErZVCf8+dIBC3/wBIPcF+2O6FPe+wKGx11OSmbn82IRe2PBHVkLLRlzdMav8ALINW\ngPMX1QerJOPXfZyDhFI+1yBwf7vY723wNlNHIDrzYWrQjlfUJVOpqeQhWh/JwDFLsJ0zt6bzpDkK\nnX+Qevf9SZupuqA6shQ0/dkgX0kGdA0nAWEZpw92GORnDCDJY/yYPsmzoujOXonSIT+xho2TV2Ce\n3jt4hp39igaMSazAeWEHTDyzJHs7sfu1wBAVgPxPb8N3fuDqE45PH2hqGJ/JzMflmkf5J8By0Kc2\n+uW8nQ5Cwdz8n3enk25+yHLChqxFYZoNzuEnanZF19l51Viar9oS54fcIF1F1NfZ02zLRb/Y+D/1\nENv/ALvufqxfJI9jA2OF3WQY5l/3/ZsfWzI/WX/k2PCPZZN3ZcMIH8gkUgvOeyBZyBLbJo/7em3v\nw39g+kxnLli0O2Aycg8kJjPf9QBP7gj7Yd/zMp+/nH3OEvbbrJjiQPdnLxDPSxi20t+D3+RmWlp+\nn/LexZASAf8AA7lv/m3nLXPJdcG19kCYew3uMoQjXbDdLF8YBfD/AC7qo2m79xxLn8hDMsNwh9Hd\nTSKh7nkr1fcjnC5UV3nJY5kfQ5IqCGeWprLogs7w3lsebI/Zyzjlo8n1gbsOQT5zkmTWAWlztsdm\n6/linMuqP5MES8wh4t70/wD8R54e5apZ+7JYI/5kIUbYCTY9tB/IUNPsC1Lp+bn/AOLYB/G7/wDi\nZf64HJNni7BvNh1jV/k8IP0Wkax/IfBIt8eFvOd7lusxzkx/04tlaVf2/wDcrIj9RUIKcYBui6uT\nTJzPFj+ryZWHB07FHCPkLDPsYenv3O/4j7fskonQ2RcA752BDkxHD6vDeeT8Ez0HLf8AmMGLaAfT\nI41zrCIJ+FstDu/sjROPIbAyBw42R0TzYa8p/wC7ge/qz+5h1/JuwH29zpu2KTLSQy4+l5PyESHb\n7nwtzf8AIlt8gqCPVAZk/wB+fTB6l/Eu8l3cYyNc3yPjAbBPI2SJ0n0t+1vWz/3EgvYE93PuVtra\nwv63IgXC/wCwVH9sHhlyX+sUn+/uUW6w4RHbp5N0a7uXAMQ8thAa3tsA8m3SJkew14HZbnxnMnqV\nWD8lER7ZWYPNIRxE3y2amPbYdt6N/wC4Mgvc5cZjbG6MgvuzjeRF1Plx/lrgJ+By1FYHL7I6cMtg\nOmXfiXp5Y1GGpepbbMcYOIG89mFfu1j9fEmVjN62Z/lp6k/LPyNC4yB9Z1w8JHr5I6nkDImCVDeQ\n4elxPq/9T8X6t7fj4Pb18vP262ZHnw+fB/xyP5C5fT8nh/wfb7hsnOQvEW/BJq2zYQqQzT/q3PTL\n7DIOQ5r7M5WL7clJhtocYhEl6Mh0s+5dM+o6dgdXEuX3H7F/9y4vQlH/AC5L65u/GBn9tYLRLQ08\njRh434wZwZy26uBLOOStLcPJ1o4WDPizPsX2lrbORsD1zIg76NIvoBN6/wA5b8c/Gcvs/tjj3fc/\nccx4f2wTz7h/0/sFOmd4n9Jyu+5L9NHtz76X1HTkhwpPkmvkIn2Ev42z9HCB32YADgdbQXH9hwBP\nrbTXDZ0oQYH/AOpYMP8ADklIHuvZ8DhxdfXZuzY929yR6saSj75sgi7CboJ54w67CZgeE5vN/CFO\nS/ZstS3cukXm9hgiwgntHuxZvp/dhgnO8nM/wOSqieOyP6k+W7TvxErIjmXdl7rdBvs8hx/sybs9\n7LF/sb+k2GAfdzkHQJBzhHffYDcY17fZ+CLwvUdcbaBz0YoD1PIX+MM0/wDdnOSfeQoeLCNEHdyN\nBkQXXsBIq+Mzfu7ySneeMjOy/lnADDLyYUGX02AsQnl5HHnr2yN43bLJ3vt9Az9IKNIo7n1EQei5\nCdgncndXSxXDrcMk72HaN85OXKu3Xtkv1ngXb6uIB75Fggftmzwfq1ufdyg/7hj/AENbPr4zluGw\nYMWL7vO3qbeSmjINCY75Zj62Sc+viGa1FEeSlOtkENg1wWfgS15aPPJMjjlqu32Mhr6no/SY9vDw\n/kg6wxzvYAatb2P+ryRaRSLvYw4wvkNSSltoSK5fmWfYrcTl/wCp+D9WdZ8+BxnHsWWNhzdfh8+H\n/kfO8y+n4wj4+vg9vv4+ofr42TbYYNkDD269R6K67+WxpHHrL9jyf6b+omZ+krhhV6chJpPmJAzs\nZfWFnnx4nGz2YG+QBhx7eD9won3cQfJwMkR+QU4x9XrzyA8PYAbZ/EGx78SEMA6m5CgGW+iUV9eS\n9r25xkysY/b8jtzGXAGxH53rEl9Lc15/todWuxn1bzWEYLluzZe9ZXx/6tWc/G3GgRmC7ky82KQR\n0BgPWMwbK/W3n2fz+XLuHnjOL7C7kEOjl07VbJs/0uBTthadHt5y16EcYeqc1t+N2eimjlmsjV2H\nch3MPyEZU/cv7CHuvsYMXiHIo9yXPju7etB9T07h5D+rMbyKLXCBCUfqHKYXsgP3LT7L2yPIfi3y\n2BuAXTufkCn0a/7dFpcLHM+J5MudA9yOAxLvdwjBtXDS1oBBRv04Z/PjTp7YiNPf7Y58NsGNmjMy\nyEa+7ORYfcW5r+T0AikL0nOkJre2On3Jo+5r1r5dXSZ4AJ2B37IgB3y2n+iAHsl/89gG+u5DtgD6\nmLXvl1sxGYkiinPOzdG8brJO6dZgursF06wroy66+SEbwmfpLufr4FnLex4yQWDJnIMxBAZzZw51\nNcSxeAXZtrJvsyaMZqwUm9v5xYNZGEuSPqzTzLgboMdX7b6+Il26bJEGHYUAAZM5eEusanwZDZDy\nEkjghg/t4IM/2WWxxt/6mMyZk+wd7ZHyNyxg22P+EZ8BJH/Mvz4D8MfA+5j2GXIY9ghY4dj1dzrG\nXTifwkzO20/AJvJHvk5OS9EnOfVm7K39vSP/ADhmwb2Vt5ObadJw17BS4diFlqdtLvjHrYh2F5a7\nsgl5AGEiF9sPH2OUjieD7uDG92kmuTI7nJzPVtbKpZ6DOfyxZ7PBz9pcywHpbE+7T231HY9t29h7\nfVJ9TqrGFn/UYHO5J+Az3xcCat/pXQtCvQZTn0C6ztAmPUyMhuudnEcSAaJrEd08WAs/Fm6J32BH\nfeuzBGensSnr2yU7AdWOFjsxY1thwnDNgIjj7g8Qlqv3DryIxMcTt3tOfUHwC68h9g/kzgAOcGX1\nlH1zkcxy/U+/byVsA0lzkc2Ihv4ZmRr+pw9mwhGm+Fhhcdt7JHZ70lguDsi9z8mQ/VkPE73lmC88\nbXPvsAT8kzsu+yR7/wBE7DqU5FPSyA1FheRhVfoQlavSFk4hQMQ9mtOU+eSlDbAmLfodkAvXZv40\ncF0LpB8iH+xDsBs3FUzrT9w6xCBw+4sXclyQdPqzRVhCOQuHZXd38Xhfu/f9hiBjxOrpNNl3wn23\n6g9+BE9QPdvcv+r7KdAlOLZzydAYTe2YAg7mI+jNYpl5kEI6YwRy4YoAXT+mY0h/LYYcPu9Ozw7Y\nZ9ji29C5tg4QOn7jnW/c5emyTyyfUM0E/wDxbzPkv1eiD+zv7F9fHWAEtbxPkTHyznnxr84x8Pfh\n933/AMdkVg1yDIZ2259TD9EVh7I92M05hD/pH0pfcOsE2oQT3yT7lAJw7IScN5N58eSTLzsPLM7D\nEMd+o6K3EOkpz6utEZmSGL9LgtgR5NOOvqwibLp/bIt3wRIMifwjx6sZ7ZCU97Eu76hQfIGl4XW5\n8Qmm/ZMq2R/WPI9YI9vvyHH+fFhMZHppZLmZH9t/s0x+7FLq38i/0hsOZt6MTnx2Wq/xbLBwR91m\n2B6C7f1JePt93bGw3WfekMvqGuyKEhoy9OyZcBD/AFdAPqd02TyU6PSx6EwrsNDdzIkOL/8An5PX\nRXk/rXblZj7bZbvYPPX22Vxu4ciE650gkZjIn623UA62iJFn+3CqIzx+oQQenwNkPbW/y9vg8yfl\nGTcTq51ZML7C9/JxiQHrHXT2xXEuR/YRz5NwPNRgfyzwlCGlo37icZ2ngcvFptaXj2+mf0lizJ2A\nLuX+zFAhnxYDro5Z0Z273xJr/wCpDA1ZAH3v/wDdnzIDkBE9ax4JZhET7jp62KDb4E4M5ER/2un6\nS8bSg7djAThcf8s+nJ/HsHqIPvICLgWTQ7A/vIO9b69tkJdtGHkA1ARFnR9tTLPfSX8sg7DYnP26\n7/I4NnzP5FzI+7fRlXLTk4nOW51DeEYDZx5ZGz7N8v8AYcG4vxsdN+5EWBvt/wCkvJM/t9yLA5ZP\nx1Hk/cz58e2c+D2/1/xLCPj7iVHhN22cjtxHlkKb1h857Dr9pb1yEL0lXRxshghD09/2X8lo0Xrl\ni6TwyNP7aYS/8W2b7F2Dja7b8DpknINP8jTe1mTj2Hfg/wDxPJ3avfZgx7fgttfJMWGhGT0Zxy+R\ngXA30ij9oVniSbvclws3tjnwgUvhO0ftf6Nn0GZ9xxl9+D5D4HlzNnllkI/yQT6PLfDm8Y31eW2S\nLPEfqbs+SuvPPIIlkfZfIDsUiQbDR3vbQSM+5f65OX7MlDd97aGGGm7eO09uPBl0rsOma5OovG2c\nIwsdR3qbK3zGGFs2J44mw/8AWEuQn0ZD0XheUvG2ofWxJBTmy/C9kEXdcsbbpt0tiUvXcLROvG72\nRzpza+kGhkemj+y8+T27Bz863/6Yneff5ZyH/wAQ+3sDtnlua7MDfrYJOP8AbEDxTH9x9RXyYqcz\npBMRl9B9LjjE5fYxsBBVbtc87a5AXXe+pDsLL72CFRgxnJIguAZCjPqQVf4lC9D6tJr2vJEATw9j\naYB2VCP9hqU3OY/7NJwwIt75JuWRsv2LIGrPBYe9gJgxO3eXoBe3Zlg2Os4NZc4TtBz/ACxhjaXB\nuWzIR0Owsh8sjJTkfzaO3PEj8e29d8kU3YNTxF28lrM4WjVia+S3i7BloRVq8s/PbvLJxs3BDl2I\nSGZ7Gs8SBw7eHLedvH9hGoLkxnLHy2z/ANLeSfJfr4+4+PuHYYyh/wAh+WEB9WR85858Hyt7Hwew\nc36svDZIDr/LfMH1pCMfJ/lSHowLqhv0EJF0fyFFen9voXkHOrE3ZR0bRpA48xkZyfeW9t+33Jpt\nFZjf5Z5D/wA33g6RhOTns3S7ZJHLxBvHt1/kzc2z6SyZJ8+QaZFd8h15y3jj2C9WvCcOjZHNZOLr\n5CX/AEuUxbIsmyJP1rOWPPseRuEWB2PL9LA+p5Vj8H/mF6JkDPu4gcb9x6CF9NxfSA+W1yyQ2T3n\n3YOJv7YBCv7A2/cz4bJ9OGezJd7J8nHcug4Fwj62yGsXkk8H1BcaXsPyfdPNlifm7d4bFsLi8IoC\nm/tomfH1ntswyM0BqzdjIH62V+ZyE8cS6ITd7FAAxDJ+tTJLhd1j8O5yMph45IW56LhxdfrWcV9a\ns9Qh2ymAfeZBwAfaQiC/6i5vHsoHvP5AQbnPIW6ZvuWqieKT3n3AW58cZMwMTRjnQg8uVR5EADTP\nJCN/mwNNfbIdn1wgAh/1CGpfaWrwPg5c/R95JziKbw8NtTMP5eoxZFv2QEInFv0A/kGACQFzxmPD\n/cl8HXs9wf8AN7RXmWOWvtj7gn4QIcL0Jfy6Yu+oP2O4FjL/ADZRwAcJl3hZMaxIDP8AZnnyFTl1\nDFgw6yQ8JeeW20+o0h3+Qfl0Q3MuryOpL6WYN3uQ9yGmpMGDJ51HXloDZZj6+Bctf1AfgRExwMI7\n7DlqZFgiHvZa4+QE7IHyQnPYQj7KiqKsYaMbKKu/VgOGUMC+kS/8eXnwPh9vn7WOkEdn5OsYk5yD\nnbJ/4Hxn/I+eST69nDXhPeR7csT0lrBn0wu8f1Cga/dsuz6aOA9khdHy4RkXk8MfZGM/sjHxeP5C\nn7ETYJOfVuFmw4wh+LdeRpktZB7FMPtkCewO9g6jaS+vG0PgB+kOu7lou5P03inkHqyT6NoTkgkj\nOfkEQCQRzbP/AHyLV/JsFhZh9SmaDOab/wC7aEB/2Q66yw+v7byVLA8WHlrc7G3B6kOhnhw1GJRj\nx7YEGuftm6h9S+hMm2gfsFRvLjMr6MITr4SpI+0yqIFb+yWf8rVpv+3rL2snoRP0+rQXZODcfuAA\nC+LQP38D2ZqG9dNjLUt9/wD8STTOe9bRpU/slSX0S94/WEjQdcNuCzm8t9kATQO+w6EG5mTEHZ6z\nxaXZCSYGhFuuH7JNCfieza9zknZDqbYzDWuSst8/Y1zxtHP/AHI6oDzpOOv959T+nlhPL6JIyn3L\nCoGIS5vGGX8dkPx9fZm997GTrH25yPwSoJwYiqaQ0Z8xtYYf9tzyf7auhU/kbLcAcbODGIe6ZNmf\nXyHAhBf14yOD3th8PJNJ25JnD/Vrt4cth+pNcJEJl5eu3ZbMH9QnGgQEOBtfb3kZnx+xniEiL7LU\n7sMTvi17+csTZ9XS8rsnwN9gOXbG/wC5jf7D0ubsk5YDljD9sTBtMsgk0eSV04325dMYe6yRgbfb\n2C7B/wCYlz+XDkj/AJ5PBWXWwctZ2xuPLbn1Iu2AXfr5hB+SXwX/AKf4+56fD7+ctJEfh9k+Hwbz\n4P8Anh/bX/HO/O9yZPxalzhHET/tvwCSVPJf0JRpjYCcX2Jrp+2i3h9RVzQgH9LyZDjdcL8M4+GO\nbFh2f5a8b69vXZTkDZggR7DpGG6tw6/5LON12w8lPqsMuX8jcS+S9PLo5FXGHD6nrDbb37jZ2XFr\nw926gT/xAfkdKMylSz8kHhJ657fQvEexpI5pjPiOnQhloSg0pryTk2fDActUfM5NzUDlhxds2s/R\naNB5a0X3kZa/zt3Eoo+Qr1OQNdsjOofZDrYP2HRv6QqvZ8ds9LVNwYTgfHWc+7i8c4+4QdTgjnch\nxewuf+Z+G/izmYl+3cDXfr2BSahm5PPrm+Hx5GYBN5Jyng75dFX228ZdEizxP5ASgOZuWy7HpjsC\niLkJ5t/k5Gf+Fs3HNgYuf5ZQA/C96GQCYDOaHD2P7UlEdEyYt50nvO29Jlp/q8MkLvIs9tZv1f0C\n28dRJlgi7GNttTJXBKFy9jM2Y5efcwnSHiNnGASIA4+ybD329NaOZGl6PcZnVDf7fVZ4R5v3OvCx\na3kLXjdbFwjIx642fLHclM72xw9FyAGMlQ3WTMu5BkZrIO5BnZew5dM+ZEBy0OljHOXnY0NnQkJu\ndh/ZaYchyAAz2GB+pi2A3C2Rsj3b61kXPyPe2vchV4Np021XtsPm268uxIx92a2edtcuvNuwxg2e\neL/09llheWv78iuxVffh8I+oc5HCPNmPjP8Aj23+/D8vw7DBu1Kc8QOWEhJs3szt5e18gCGwsXJE\njrKBWHtwCY93jDXPYjz20JtoixMGO9SGSw49nprZpMZPbQEcJXz2fYcbS6Wvry51PTv1Zr7yFM2/\nE2NPSRv7K4CP/cDo9nz+SAc7+wb57DBvkZ1bTi1myt99muD92w3cQgCX+yWk0dn3FhLDyM9JVNjU\nw/6l4tnrZfeyz6XB/wBvRDkFB6j0PuL0bs5hZjaOs8gMeb2Z3bl4/AwFZqmbjbL54zp09I0byXs/\nWxwF9vP8npFDSPVP2x4TLo1DuR76WYgawNaiuIzZXvYgOv6kl6Hsri5szAc/jMzg7l/mTEmxNWWA\nNd98kD7j2OzkmpZ5O+sxOfVn3ERi4v5FkxP/AKgarG5jEOUaN+paH0O+S/br9vsbV0g+kbRn5B6f\nZM+5tr7qMt/Zwx4/+SwO6ySm/qSDvSZD0vd/LD/Yz5Bry6TmVciAtYG+j93qN2e4jWXAlBzdvoch\nj7uyHzgfumBB3fl9cHUMIa+pPuyvWzbGx5Fu92xIOXFDE/phsgw8goc2J90x+FzDx4TjiznHE6kB\n/J0QbDzIGCSV/t2mv3yx3WXWMTzsPeFuNp7PbjLfcsW24yamOTg/kId1vBIrkBljxg+S8bOuyZZz\n5O9hqXLT26BIbDJ2BshjYNOu2F/6++vlmC9kH3MWB34c5Gc/fh/+N2593+f8AvaEQ4e2skDf9gVu\ns959LLE1MTEZBTCws+F7G+wh9AycDGp1jO3R9LoQM+NOMawiP5EvHLpJjLF+owtvIyR6jfYtNyVX\nPqPRaf8AcB7yHx1m+sjuF31snfY93+wH1I9ZEYp9tIPpjkqnGy5LaVQzb/pomo+TMP5jrk/i1eiw\nd28G2LWEEXGWsgOxMjsjy5fdjn7XZjPuwduSQJZ2dhMiCW/Vk4kSoPX5agw1vufcwAJ82GjXMuBf\nfZdC2D/IjBl6A5aqHFieMlkWvrJ7y9I4Z/ef/wCbnZD/AH/9ymGPXttjM45POMVLvYTgNnPGa6Tf\nb6ejiyJHXCOV9OT73dtz67GHuPJ9P9bszOhwf/8ABeUI8sLzhbd69uhIGBEnSPLiG2gPHb9w4YEo\n7aE0G3B8TBs7a/aTn9URd4yEH0mC+rI+U7OI4tvA9gsfWEz09dJGawnXQjj/ACf4RN9FhH2jR4G6\nGOGwXufZEXjLJ3V1mD4cmSLq9tRYPV3ZdG04MSlWOZK1b2WpaNfsQ+PlsGB4OW6630LbyT7ffbf8\nI1fRex927WZDHtsSCY+sp54xuSeNrOSD+LQgE97cz2M278kHbt7fQlnE8tuiH1SBAe5Bl8hjhK5/\nb+fd69ghvkYe4ExkPq+7xakMzIH/AHGZB/lji18Ln3yduMHe3/r76/4Z8C19eQbA+i4yf29fGf8A\nDbf+GH7diDvCSffjfq/xJ1Dk8X/HL3eC8S+IN7hlgOHL1L08I/XAsejtgw9vvI3oTEfiGm2HhP2f\nL7nliP7Kf5ZT/Jx2FM57cEbDN+42B5kn1e+8n3lwdvw+71ywG3qGtY1ZDttGSLYuQ5aCW+yM62Jh\nK7n3dTsGWlz6si0nYLOwS360IR+Tv6LSB4hMHv7K8Uz7kPcgsgpXAgAIzcZ6/lkmLL+wGYeQGme3\nbYBdnfYYx1ag+rN/5Y7KORdn2gPXsn6t9+lmQ9nNMGtPJjiSWwxhDwYkHhGpBy8GypX7jvns4/Lv\nlvXP6Z8H/usT4ierPQDG6BAoP6tHvs69H2ADOv8AZPVSH8GZfuQFhgXeJSPt1+Ipzg/chGhgSM65\nI575s24OFyIPVgfZ+iAQB/YhbN9vZI4ncxd7bQDZ9WPLsJaK+OmH3YwgHtOjAoaHNiBdsJV/Y5f1\nNv8Au8/NR3sD8ljI8+oXee5up9XBGd/23wmwo+F4+DTb1mm8buVGgcDhL9qOR9FPZ5owTotHCP3v\n8HdI8S/CZq/BYT1goD7sv9fu5Y1JW/DLfb729r7GWmz8fIglx5OZv3Pr9m9Q91kvf2wZkTE7nJn1\njP4gMPN29mchpkg4kjeNv1YHw6QgfkLe+TLIcGwmWYyuN5OmBDYA87Y/yMn/AMzTX2QsmDLRKe2Q\ne2ay4slUf2Bl0Vn7Io0T/wDCt5/wC9SYkNgwjyTZMvvHx9fD58bb8H1F2Nj+T2fYgFYHuVccLUT5\nMfpOmNiei/CXRr9DHcuQCHx2cr5O+J2Y7Mmtz9lRAKr7id/5YjJstOfc+H3bnbGeS6hwgNtDiW2n\n3esjgEnIO9tJbHZAku8hrGnWzBl/bGZDkN+4OxL9X1I2E5ekdJ9kG/7ciZHF9hx/jIb/AEvp/m8g\nEYDy0vLfjfuYCEvHwyCCbpyEWPl+JG8YGLiCvPZuTviCp9y7HHEeyTzvyUV7E3nkwQkRGNbTyQAh\nUK5DJg+pe/34WGwgTyXefBzIhH3b+CW+u/7KiOebJOF5kcQ3xRt6MuDyHXxsPKj9/kMRQebFsnRD\nfLj5HnkPE3dmfeY7FiB+8t+lvYCD0P8ALHgB7uTnO+ckge/GIe/9BAgJxMuAtPvJbkHprG97mbyI\nD73DYUHjObZ2jskeHz6QZeB7ZGD/AAsUDvLZxI5lkba+5AQ8Bp92HJ9fqdP01FV4pJR4QDf9mO/u\n4j7ZH9CXEH+yx6aiXZrNZzeS6fG5aZ0WS+NTOMS9ggUskEry48t/bzPseQmCh94GztHDzYdWjeEu\n9k8sOLCd8yQGZbrsxuRoxO3sy9QJ4yERhmtkTnbR4dh/kfb6j/wgAlnlZ3ZdSzTJu41iRE/EnG++\nSwy+/bFnrKYZ1LN/lqvvILcgsSK5/ZB7IDJwx8imlkTXPSzIdcI+w7cOQ5KTS/8AVWWWWRHX/YOm\nwzj43H4TYxZnznyHPgDIft6sg5Llrkuk8CGHyNYBwzyEftfydHAarvluvX7JZNH9JsJQL4GS5wMD\nyyrpbBHr9jN50f2chgr09jpmxu6eSJjDnbzkjDAg1c+G0WbaxnQkvvy0JcPyTW2KzeNg1g/l2I/I\nNbk57G71jI57bv8AkGznh/w8NsDy8WDZrGK8eG2Tdwhw5nsyhq7bZPPqeBbbHDWNf7YArBweSPGD\n9L7Y/wCpPGReDyzn1Z/LCERv725Lv9Tsn6YAX21T+/cOdOwy2ucy2D6+FMA3Zsc/6gMHCcLMN9Hv\n+yYkYLA22zjmO3ns5Pqtlz6+BfvyOv5cfP8AJV8PxgyGGflgU87kJqPu8jJQ/iSJ/qcm9cIzeggY\nShnQ8MxtPnZnCFwQMMxkl32YAAcWZb4+0dsc49i2QaeI6rRu+2JUH+sQ1P8AtuFDrrkH60B6kCif\n3LMev9sHvRuS4A0OtsvTpYx1+liPRvH3a83LGSy2XzZ0A2eDP6SOm+X6IfkMCXdnNMyJ8rztt74+\n+wGJ930LydU8iNvH3L4DZzNz+3uL/F+onIl5Y82bbt9HLVlyJGMQ7Zn5N7gMELIc4vu5cJ8a2Dn3\nYxDTkuoyLNkxdjsxnPcvExGs9dtxIwe/cLovX+RC079kMnB6QfTIM8nkQE9bzxjP7v0unMJY7hsM\nbs/bpCL4ktwyxeIjX3BuNl6Wi3LDw9u6r7Bl9T5LDs/XwHF9v7ukdDDDn3J15ctLBFJ8Zct/Ym7y\n/wDVf8Cy9XqWsXrbrv7fdvJ/5HD4Hs2/lv8AJeTPnx6ZACH7Lz9svNGXYePYuYkxzkA1BOPSxDwY\n/SP3CP2sDg4+QAOcOTu+H+xuQJIdf9LQbuRoiG8YWENcQ9zan34IZLDL6vUQ6nLSWTDObydOPkIM\nEYhr2UjpvXYnrPqUDC1sfLCjt18H1ljz20vg/wDFknEF139MlK8XIA1hc2/2JcdivQwmbGkzoBZc\nwxTjyD7Bz4fpHPJ8dnF9JB/27j7I0f2Bbi2QN1yHsBCdj3zb3A/8XawMnPyHD9khlnz6gl+5LU2M\nlyj7K9g4bJjImU4c1thHi9IkOGXGbbu62cYdPJkgDeyAXNft1aJzpG6gj9gBf4JR+FhZQKr1jGRf\nbczXryKpv7CZAZ7uQMGeD245u9cv78OZbbVPHL0cP5pM6CP2bMBQXgS0OJ9WoZSdA7dSHj2IYue3\nLKjZ3J4sQ7/025fGIdy9+8j5n3LOjU88Bk1I4me3dXV/YTlj6lxQwYBJ5GneQnTOJ36H7yN6xL3F\n/be+7fdG2DTKQGKDDUA0uBy/hHy01dpM9vr4YiyIDyaB+yJfeJrfZh/7JD/qF0+7meOWtwjj2dHP\n2TPYwH1ODepntr7u3GXVv2unLxZCFD6bQTHtrDn1a3Lf1fyjOQf6TgQ5/kY3UsAWTxGNy1sHPbtb\nMnrshnQk9yZl0clHFhj5YPu27eUNcnh9Y24kwtiU95GFxZ/+F/w26+TxNmF0ls9hlnY8/wCP1liW\n/Gf8XWy/kmBLHmR8+nhdicfhMVMZF4GS7uwCJ99mdzxHvPiDp/ZF0w9/khUP05bzpj6RkPucgceA\ng4OFp/SAPyb17ktdjZF5sN7Mzrsf7BvIMyP9iZBHtn5eTxuvlmHu3TDu/wAuJ1/6WO7e8lhbm3Tu\nwfXwNZw+38s/l4Nt9zEiIml6/FsHstOPQwg/xbgfqU9eRznEe6P1k+/EMO9s77F95df5C+pwMhED\nEOpAzAT6T75PfEv4WASXr7aV1cGyAY/qH0selny4CO3ikPtjTsuk6Qxcvuz6+pfhsYSn4m2HX2xY\nLt652XbEsxAfBsm+wt6m7yM2dTWHSPWmxu5/Je9WYEjj/Id+vNtODCYYDm2yv58k00/UMC2sRowo\n4B9kbuvYeijpk4TNX30nCEEGydfFEOu71nXasxp3/wAQ4PGwR9TWwAc2eJ6l/D72GicmdM4qG2Qv\nVarvs3z+yuC7CNXLx+5I3DZB+47K4O5ixqnffV2TnOSqs56+5hHo+yL3MSC134ptmEM0duM/sNd+\n7DT9TvN4QPEWJg/Ijjto4vSSY9+5P/MKf+Z8PudAPqN4fYa2U08joE7LM/J5FM5PHz4R0SdiYN93\nJj7Gnizfq70i9bGeGxEvvHsI3Z51Ca2HNb2df9tnnkDvYd/ITh23B9wQBcl+1vumfJlbAFsQTh7K\n4nYkBnk+X/rv+PiQTqOssH5L6+A/k+QM7nljHt38+M58vqG2Z92DYFfHsjX23/Vg7Zec/UrQ9je4\nnhYkObAnhbHgD27lKfpbvQYyIGjiSQZ6ye4eG0Tmdn+0QD7P2WtjliHn9s5ePjDs9bx7Hgx0gvux\n93IL/bD/ALW8n0h1s+77ny1s793iCyPZdl1Px/18B2+w9lA70u4entkp6+pChNb2+Q72D3CJle3s\nX3yzhvuO+siXGAO/Vnb6l22Xfq+o+/F+BQ5125c+vgaZbJaT+w5BYy/21vIRLcZAsHl1bN55KTTf\nbBv9h02upd/6unY0GbD2n/URo/8AyTpLzf0hw2p/kRtIG/V0/U2AD0ZZ14Gf/uLE0NSziH6ufg+n\nsgf4jbNk6iTCZh3JAaphAggjhBnnsRh5IwXvb74fs5p5LNDKRee38kdhlGpn/cHnNLU0/MWTo/k9\nzTewn7+4vBZsC+MfAcSGOuSx0+T6/wCie+0zBuJdNfgy8go4zDlOHbjkbl5tovkuDvZlU8irf1+H\ni/mvF+KIut/diKyCPnPgIOJxN7Lg9u4wbu/kicPqKc4xB+kYE+9k63iMG+3GMO/3PS2WHgEY+ogW\niYxpc9nR5LPbB9l7z+yPLA69gdRlZrBA/s4cJwx9nF91sS4MrhZdL/Lg5e9LT3L1M79WiHCXHTIw\nJalh9ls30ZuEiLcMuC8X/rrbbbqOEe7tjkO5DGe2ckQIbJPLi/z4Tntnxs/xPJUP1fkvYIBP6O8h\nAGZ9XhOEr1smvuS+AWn125HoYAu/a0HDGbksWv2Xmt6TwdP2PRfuCJGN0tiL0sniF19wTqyQ6z2P\ngQ23mwds5cX6XstYLY3fucfUC9+oveW7kHNzk29n+WSbjFk/BPX42341+rXq1p/YtN/6nsEHC8/S\nGv8A6Ss+JaJaGj1Kw559X68R+EJ5a/CwM7+BfaGG/THZYotnoTJt+oedt+fq+vk8/wAth1vqy8EL\n9W8kM8s5yXciCt1/kGQjc+7MBud7JOY/QCTFH8EzR+i95PIuh6Fh4o/6S0Vky7PPqTG4ps27YF67\nGHX65at5/TGyV12Ltj3GJav+7IjdtEwDjdVF5Yn+LlwXfOxE+/cQr4k47OXl84ReFvbO/MgBf934\nMZgPTku01bQZiJgBpHl9K97AvqyJj79gBeEdU7aJ8s09I5PTL1HSJRwW0j1bEnxnONf2XoeQcB92\nAOpOqDtk+7LEgLvL62/UKX68gMHM+5LM8ZMzHwgz/SegSWLy0NezFyedzw2q8gMcug8ITpwsIAdO\n3Dsh2fRLZLSAGT+FlO+yejhB4/YfXicjfZx8l/18Jydn8+X5JHBEP4t5C3vbqzeTnxcB9XNYuRNh\nN/yzWdc8iOz4HIZBdQh7JbL/ANd/wHPhpODGfJbJdL7jr43eR5Px7ZDINg5JrJ32GW9tnC4PGWuP\nrhH2DfYgdsx9JIrb7QkoSX9iK8gwhDdg/wAug9+73Pbpz6n/AKua4vP7D1/SxjL9vbRhyHtxkSc2\nTTkHHnIOXrCzJVfxDHtv19WnyH7aZ8fsYdfqW4+r3ZbEim3L+QY9kN5Z2ffj7+Pu8W58J0uf2Jty\nn2T1DzOWmMHXMyGKP3GJZ/In6fDTiTfqwbbxl1sKD3Y3nIcUPt7BD8HwR58BJyY/4DrME/5A7bhN\n07N529ef2B5n3+xXRX5sAcDvTLt+jmQk+h64irw38y+jhNZVOSQhjfJjsD9uZib3R7KnPzq2kd4L\nkWUB9FoNVANAvmwq55blY5aEHSG9hmtlziTs5ImoKNuex+yGv6cm0fZPCffJ30CDe4O+yEIBg2q+\nfa1OATJh07Yp9LPIu6fsdHGc9hToLlZohXvPy0dxLxicezJ4B0lJPba/YIa/gROuKTanspmQFxz2\nxz85kz6yyjFf8t0D/Fnd4ZYo7DQOrPkSb5xnY55JBOzbwyJ8E2p9J3Ie3XYZ5dQjR7aHOXFpvI3O\nE739uupHBK8GZcSOv8YfsE2YTYH1gm65DG/EKS7mH2DN+rAjzGGJy6B5tv36kw8kGZkPr7bu/SEb\nIE59vJvq1ut12ykzbx2TD6sHdlE97BnGyyOQ7zy/9d/wybmkR1JHjz4Yab7BnqyZ+RD4JyMmXLps\n+GXsvHI1uISIBHnlvFpn1shgA8wvEaf5CSof0jrNd2/cRChtj+/HkFjmvub5K/dqhTlMtMN+5JXp\n5Dp+2cDXGxf1IQ8JHvxPWkXtmZ8D8rdN65B32OvYwS15Hws6Atnl93UOt+7T69lf9WWZPkwwyuw/\nu25Pv/DO24dtCz7dDJR1nFr0Yy7jVyeO4nYk0BfV/gJc8lR36lMnPZ863Rt4T/1Mz+2Lmn8Rd/bd\nlyJG0u7nbY7kc+Cz+x7BMfYI7ZYSg55D4M+R45dWRrdN1t8Z72BV6X79gRAO57NByfwLaI7V5nuk\n5gmd4QpY/fLKPA8XIhHTHGxq0zA6n3jcxh9MJDF55K7BdxtDQDIXDPbbMbTmMh+DX6iAAJ6llf8A\nIdvZtd3LmS+LMH/cg/h/LC6A7ZYrvOkcVe8R4XAzD6fy0Cg2fAuocUnw7n3KCfcUTf5E0q8zssCP\n32x9gkLO9bODWZy7F7l1CrzbRriHk2r6ljPlxM1/kaY/tZg56oIog77kvJw/I+x/WkXJo8j4IGZ1\n2+sMWevlnvvmz/kS/UrCEYvQjnXydFLeXiOgZHWHo2V6uEHyFX8lH5fcCMGe7spNLTuwvLEvtQiW\njsZmTr9cs7BB20J2Uuf7juJGjbj/AKlu3QhW0HJFrmWnK6P1s/y/ZnEcMtOLAMO4SbfoZN9dgfqN\n/MIHsveR3/N8hCZGMHbkucjW36h7kMIdvwj2yS+mf8vqxyP78LafGd/kHWEkLw9vNR5Doc3hCK0I\nm6cZtlPAD2AqhMnfgfcJOA6mba9jdHDbyz99iEOnow8LkAv2++eSzBdkxP8AEP1IJ2DyL1esORMc\nkURvT4D9tzyDb0T6/Izkun/ctzb7ZHJN4w7nxc3Hp9z7MAwENgyxvzv7AeSt5aUJ9QBvkQkxoZuW\nV5fyP0YYlyRhZgdhDz23Jn3cPh08+EYHwgg2ySfk6l67PRz6vJbjkbUJxsoMcuX8Z/K0elocIZ6W\nvqRz7g07tzPgHGzMj0h2OH+27yR8hLOgEEbVs1x6lrHXgsuyr5rljHH/ACT+x/OWYGb+XsbmGyc6\na5pEj/5uzGSvt2yZL6MuGw5yNqjpAdHJjk6Z1WTZO96EQlB+zl3LrrvZ1PbhI44DL+JLsQSx3yaY\nAh+EhdH6XdFvSCANOpNMwOdIV6j6ulx244T7PiWV7k7OO429lyVE8G2AbvlgIB7pZhmn0WKn3kfs\nEjh4veBYgmK8i8GjGC/R/txN8uI8fVv78Zco8EFv+R/7y3GCQkALnluFv9IcD2GDahY2Q6I8npD2\nmWWkxgm7rGvfSyez5AaSzj7nd7OrjOwff3ENhjLeQkJ0SQz9hLlgIy6cnAodjR21NIVR/wBTDvLf\njOHOMLNAgnLzGwO3E/8AF4a+SRrPBaDDyc2kic4S93Yq1gAcmRBbEICdnkNbYJZIWbj/AKkrp5Dv\nrA6+7n/N8nlzPId36g/bDGDJZJh/9Rd/+7tx9IMCRzfb1y92bOPxkQHZshRP2hovsjeq6YsYnXh7\nYDanIvbubc+/jNYBOEgl44ZHBcSk7y9DofYakHo5koT/AO51329NbjUqu/k86WnbBO7Iwb5Bif20\n3TpBz8i1O6whG3t4bbLvw6YeWb9dv/sveEcd9gNbZrpP+Q7r5cOznUdAT6/2fALzNlvkuWNpebYv\nPfjFHpFhhe9AujIgf2+45tuyMOfw6Wmexm/U6j0QCHBsfcYeZY2RnxplN0fmWw79yx5YJ34WzyZb\n68ifZJfPL7BIeEZ9Qv1OPJ3ixuSvhHRpJn1PkPJNY/lx9jiCMV/sI0+Qj6Iarg/kzb6ztv3Eehfy\n4bk2Jx4pbN0+ZIUU+v8AbeBDwh0rsMEaL6chvzBnUefSZg4jQdfuyfLgif8AvZabAzD+zC/D228a\nv+ylOP7aq677NMCn5CnXq1uddlPlnIg4J8y5esJbnom2mmE899nSTnb376QG2HvYcfs28OjyZnIe\n7B3bzJ2T+rwnRNwvFbU7jzZOOjkMproYZNQ5YsJmz92Y8J3/AEhNxuTkTYf0I9vUkhRyGtXg2QLo\nc7KR5sdO+yZpIk6m3rFu+/XwwXYv9EaX+Nwn58SsGRGGGT+kk/8Au2NIw99l332F6HYz1Hgzficg\nHCcuEfqHHbG8uns1LOsX36n9MiCTQ/bB5Mjfq6OScQjfqfZi7fU9jT3yziJ65ZxEhAfUHTd/bPyx\n7Kbycs7Ujr20LRwb/wBd/wAA2Od3mwfQj2ftFdhgiGw6b6y9HZ/Z/JMZfw+PY9udt2yCy2g4fR7c\no9W2Bwnki/EmP0Izj55dw7lo76y/idn8wTvHr92eXIM4bQ+z9QZxsUfHhl55fXHC+71kv/MZsX/3\nWgY+2++YBvi5p+xrx5JZBjXhCjz0sYT2TesoIdfB+/hFv5Ldf7Cv78HfHxTIf1axPJA4XLhKP1If\n9g2Yn2XXsCLw8Gkf3iwK5+wP3W/BEpatR6ks34rtSrB3pbLP6kM1fV+3p+mydn62ofUGMKRvpuIu\n9gZvrLnxPSeLSL6l+rEZ77DFjpZ7JnWHsumWKt+z2GS7EzWDOYyI8BnHbKOdCQD7PLTkt4zP/cDH\n0jLq9EW5QZVwfycHfh5PcMwmXuLyS+xtv7LVPT3yDJw+p712+zF+jpYgYGK8MmT4clbjCxvxfYo8\ng4dIMOHl9PvqGnSEvyIthn734vJdcfG9Yf2ssMX7tPofGadtRmvEnd9J7dBkD95CcxrXTyQz8bLf\n/EiD42SnWmS9+pyO7vpFX5DadPsfTZ9f9x9zyHMh1yeLD4GEtWSOj9zq8lZxn92t+ITIctMhdeWv\n7bJtg7diFg2bS6P2zunkYEIwtmH/AFIcXSCZtwMSB9j0ftx5DHDth/1BpwE4b4Sj3trx92vuQF6b\neIsD73Bdnp3yQDk+XIS824cfJ1gl4g/a/wDXfB8fRHk+rN2dPu8k5H/uYMIEhmlmWPuf+ZcZ/TcS\nC+v7PD4fLj9z5y9Njey3Ij/TYMfgmxzmIMlP7+EwJHkRaCu5AP57YPwWNQwhwGitEUmF6B0lJvk7\nZvCfPZ9jM5I/9Q9D4H1da0v1+Smwa4Rzs059Tp52ddSIP7Lq2si+gH+3q5Hex8jqON65POQ2Rgbg\nwvq7U2GcI/ktP8gJGy48kr7cdhwthORVSMP7b44IYc/Z9fyCV+sgfydmE+5V3m31fdr8ssIJ68n7\ntf7Rn9m0wimvsHHLllo6WX9csogtXPq4O342zn3P9gRbOSO/lv8AYJ0tf5bp9LCw/wB+EPt2cLE7\nHHvIDyT8v6MyE1oH7tSDHnWVl4DBjjRkUQ3tmhw9/t3Ih6/lp5oOGWzQHN5YZAHSWDiuSbv2cndf\nuXgeSWdiGv8AIPbulmO59SFBo+4A13P7GhLOz1n0HltMBDvoPk43hyFDoCK7YsoHfI1ptSj/AKIK\n/wCuyl6ovxmGGCERjqcmQkFbf4sZr94TvizQ6UAPH2xPgLsPU3He2Adiz1ggcOrdHjYJ/wBofuOW\nVOQRr2Lm6T/uR9u35ky8xCP9WdvtdEP2/WWmf2V7f3LgPqBWDsLL6locSOH9sYyLoRDCXrBDXSx6\nW8cl12EWHTCTAO+WHEbpnrdwsSOezJw7eT9se0P+khP7bj7DcXTJ/wAEOFsfUXCZn9XBnkn7OQ8s\nr29f/UWdh1t/6749z63gthvbomz5yx0sEZAP0tHTHCsdPpaJ2wPPgmS8LdJ/9Telz/cX3HUgdy4A\ncS0HTm+zK9kBRX26SAx55IA787kP/XPnYAzt9KfHLKP3diD+mPdjnmM941O2ifqz1nJTTmRY3s5s\nc8lBv7di/wAlpe/UcL6kfTLb2yOew/7yu9m0kNcvVBvJAhlq32zkkcbpvuZmtpcD2SEGMn2geBK+\noQYyc7Zzsm3k7B/lxij22MlMEymATYlD6J/84ug8SDb7njisFhRzb7/uLp7LbJly/rAFyn7cEnB9\nz/gcjkvGeJtBPqXrLpLOpGR05aHLT9WqzCWxY8tUhBkJl+EmxeobDikvsO+z7OTJPsYyBTdDHLRd\nxv7LRH42CYPX0tL8ye8aNNjCBvTk0x00Z4Ir+Nkb8WQCTviRw0NOM27wYaOi7aD/ALORWyXg0b/P\nZKCd/liQOC3fCd99vd32YBhnsHTfVxR9krfvxHT39Rt820X3Pq0/R6vKLGSf9scw/LQj2whv3Lef\n1yf3w7CrzbQY/k5E6vC1XB0Qfbz2w/u6+9kVMnk5LPa/zvqdMYyZsMLDgpN3CB+7ogHl5b2/8i5c\n4bh5jGYS+0KwMDPgA5brYGE8nvVgb1ieSTuRgzTU6H8jvZ6bKf7BxHfYD5JxPuGa9gkZcdh5ide7\nGVXb8IT2LN527tnvAm8PJFDHHturpZ8j9eQmrkX7knt35Cn/AK75Pt9JV5aztnOTv/eBXfqejxD6\nyH6nOT246vwRB0k62chy6LLsvQZOP2G/7ZtM2+Er6Jk3QbnknAaiRDocySiJ6Zjl1OeF0nYzXs4Y\nF1PA2TR36nmPf5c/1PFr7HpzZLP7BmfUbxeXXYzBv7i15+QQaeX2Qu3mxJfRBeth5Dq/Ywm/VneX\n1PofU8vpabpy02CdWTATyX2yMQg6kzeWcjWP4FizbkTJwgF+w0nnbi9nqAL1yxl4y0BAdQF+7Mft\n1tmP1CIG87DX6Y2KG8nZwPRsDk672xABFZT7sSWWWV53Yds8mwAPrcUe+2EB5eTIEJvPkg5kOwbB\nKsLx5GE4cuBlpb9rgP78Xby+vZetj7R/6zsvU9+C+vj2A6iSnAVjw/8AYWU51ekC5Dv2fOr7uQIp\nvchK3vORGvg4lPI8z7mkZfFYsbHoTQeWSPWuOkxgF6yQbD/YnAT74weXYuE/zKAXWOxHupbJBOLk\nUbofbORfOPI+HJwfvV/OYjLzLJk4u3vh6TR9EmvXJN3jfzTJAm/ZIE8P7ClJjcJ1LVSKE51Bman5\ndnw8+Elof5XijQ4pAye2ciwRfBuyR027J9242BNhj/MmVGcExNIsx+p5ETsQH4OA/U9nk/lnbmLU\nGrBjmRkasipxx+oDPD8ngS9ZED9gHPyzWDHJdwnDBkTrYx5f4EZuWXb1NrPOSebCJf2HX/Ya8kfD\n2GOkuYQLshx8v8wgGJ7HeXj+/G5r6iCLXqxJpB5ky3/rv+AaGzJkgeqO2itF4Qp0Nn7nSdCH3dS5\nx8Cf9RMM9jX7tyf89/4B/iSvSHHOwZHrEyMBg8WFI8bsrUD60kW5DoIxrrMnDYBw28G6eSTe7iWN\nA9zSEH+3LvraKdiIS00XOFzWX0z5GvkzzLkBlgPstA5rYEXsMQYc1+5IJ7KWHkGXQJ65bbZwDrLg\n+xwPExQRM19Ti42A9kVzb2eQBoQGYZbrPERkzaE9fjicdu/LjR9vqKkNcgP9mYzGJTxxbwzXIUhi\nIy/5DAg9Ud3CwDmP/DdD/bswB3b+KsG/u9T8FqlsNunnEi/q4Rrv5ZyH3AB/l5jlh24rgh4Tob2Z\nJO8hiZy5Y2Ccsm/IGeW+SfhjMy8skN65Gs3+MCaPrtjYjwNg8mHvZPq96XAZthA7ujZArszFuwbP\nUWybhC1DidTyAPZ6yAs/WxgtH/ZqvPzsvY+Dy1XhhsRnPPTuWIM+wLEGeFupr0cnRmt9kgab5A+k\nSdh6srtHYSnU9liDp9hZVmMq6aQBPZa5y1o4M2vCoOXdeSvdZ7btdbuzuRuxvmydM/Vj0c/cX1P7\nkFl+PIdB4wor1tOeoszyR8RDkeka69uzX6nTn1Aep/UB6yd3/mgLGOKS8u1SdOXO7CQduGwhsA8l\n1sDshjPuEaHJX1DDPdh1YE+71sHOe2mNLSzoM7BHSX/jHDJ4Y/UzIyAASIGXkHsXgulUSnCKJB15\nHwIwBLo+tsn2XZOmfGgbZ9fAHTbhsLpeRPBl/wCu+T2/yBD+Tiv9hrgQWb0lLJ1t7AQM5CBDr+Se\n5A1dS4/d9Nrz+X38npcDp7aGr7nqbXfxlpzovkougC2IBp329hgOZJUuzWSNiXE2CPrecmyEjmLw\nk3f21msuNkmHyV+suufc/Q5FUOmymGewBHYmvF0C3BNZ+sd4eQIaSJn07PMbVgWen6hBnqfZ4wl0\nB7DijXnmWHG3uR/9L6CwT736ugtz2xlltDyc8ma7/LcsRbS7y4JG8gA/cVHg+XCOTIueI7lqVX7M\nmK5jeWyaXDh/tyhj7ETYLerRZ3yRH62Oy9sC3YY0fthsdW3Ncbpn1FVfpycAvdoRI795L3yzLwwa\nLAs+kel/4Wyzq09IgE5D26+rPt9fHpn4ezuyEHrHZZ/U4wRP7I2D6Nnp1zyEuNMWbvet/aNMrHsM\nz+D9yWFxf/Nq6fXsaD8dtW+3LBVpdhjXv1HVpGOP/SSfkxiSPFqEDnW/dJsDZw85PX77I6heWoHW\nXWDt5EJB+FL/AMaZYrjl9rtk9PW69dk39XbfWx8vYrE4nLZnBkHjyJ+oGweNzjdW+ubAEDvRmy9F\nnnF8m6sv3LYO/wCS9S3GEbVEj6s4kjy7uQx2ns9v4hsId+5C6F+TJY7dF1cR24kHIXeQr6Q/U587\naW29AtLy7NvT8Aw5JXNsZpywXI55ETfuO/lZjrQ7kj9EnfyYc+rLpv7tb204maUtOvq3Mn2+4EuE\nPb1LyDk04+oARr9XVoBf+u+Vl9WDwyPXbY5JVTz8u/PITsGf4lJyY5+yYxCSzJDHjtw7fW/GY3Vw\nzJFNeEfUj5zvZ3Yc9RM4KzsB6w0bk3vL+iLavhxH1F3yQGeX7mnWl4xD/vlr9w+zsno5bcHJzVhk\nZ1lg8vMepwGy43CIvQld4SVH1bYfZ+H6lr3t2dgP9tTU4w/7niO/xBx9menFrIBq+zL+IHsZ9QK5\nN6Q6WCQ2M+3T4kWX1PdGJbf9aXY+l+T95acfs4fc2CT9TyRk/kUxhIvtlB7eM75Y7/xQYF5BUxY2\nO2/jtvu/A5S3iYj+2efQWqSN4K/uz4hTnW9o5Hsgy7OQRsIbqDnxzvs+GEu3F1eJ4uywTbAfvz9/\nB8zQ9YenhkvQHbneH5MfeIIEG7b59Dbtw+GRAvXVtboyfD8XvemsX2FeiJ7ESVdYXG9MROHkwTWG\nIH0ZLDkHYs7Bdg6veJMWSA3B5AUApczsBvPfGGjelq4sb7ZQcXsT/Fhv9g7dzkxp+rgv0sQehA8A\nL3uwFzaEYR+w7Yk1GNgnq0PtOzmfeyXfZapfqPX4AfsHL9RIr1dpgy6jzSB32+j6j3brbrNN9gZz\n6sH+MmuHkL0woeR0P1eMey2z7sId/YtiWhlpgbfohRscR5uHJ8wfdjRmtkYfn5edmwPL63tu59zB\njM6puMocOfdgYF7IX3B7pEnLwzqe+2N4T0sdGC+MnhvwT/b/ANd8ByPI/kn7K2H62JkMaeWCZ8B0\n/UZgga72KN+5tbfUH29v5bujP3dJM/2KRA15nYF8CU/U5g+8gLqOXQDxuyNM01c8IBnO+zIPfCwU\nvcaLuOfV9tC2bs+nId4ZntgfAGOSsPNl9zq/sMudt1Its5bDOKkjkNMJsXFpd8nTHyHxKnlng9mS\nJnA+42P/AAgifdij2RQQxumRZ7YMGeuEKEE7kSFiBZ8QMkTnDcMnX/I+vhVjl7yFcwn1HnCdgT7+\n41o3l9bXt9tB/wDE7Z1lV6jy3ZedCGnDA+r89jbR6Ji/5tuuXE+eQR/YEP8AuWO95ZgsP+XIXaf5\nGviBx/I7z7LonLxy9S8yOP7YtERHuPeR1YAvDDi2sXsuFvPjJ8vcMn6yHlv7JqH4l0XP3tsGD5Kn\n/wBBB9wwCU5IbaEenpaq7bAEUG/9Wlf3JkzUsPUr2Jb9hm8c7ZS9Sj+owD+GzycnCTpYnhe2ATkf\nmAxtsYjZb31P/wDZDy7NP3kWp42yHnszHSZc+psVlZvloKQE4PJGvxIVPbtPNsI9GyxcL2eN9j8W\nzMPPhAJp7dP5bzi5vwrluuT3/Y8H7myeRdLONy9m1yD3nYMktp7et/ILyB4v7k7AeD2/xIPCH1kQ\nb9S430v18G/+3TWwx+p5E5ccHNjR23ezqf0uDbzBZoT/ACsmnsx1t+/VmpIItgw5bs+XMRR/W2ZF\ny4udtHIgYpH3fXlmxjxkdzj7a5rDMZi1f+q+T29TfWWJ+l2d9n3F2hYoWwcyxy5s9YiPSdtmwuZc\nn9swfya/Xx5yYMWaMnByGQJ4E0m7HTvPZ3X9AQhd7JCOFDFz6tu3f1sgfX/tbY4fqfd7GYY8k/6w\nZvhlMHIWkbQyJucgTfqLg/fYUKQ9ost//UzwebDPsMAPU1Zv7e2fbAAPZWgTr3yR/BMdjht+5T37\ngN/FvCumI35REqxzt+rUb7oxMthkoj+l3G3z9zu6yDLhhrjbGhJYLX+X/mQlhgDVsidHyTFiIM8Q\nkEGqeDGXg8RdgBeg9ui52y8YMuGPDmW9X025X3djjf8ASfXx21nLA3+XIQ3/ABu8YH6Fxj+Q5v7P\n/tixux9Sf2HfZ89t77YRb7a1BOE86z8bVdtR3sw59t6z78key5uwxn1dywJevOS//qwcwQe7YsE8\nIm9Nk13AaW3c32Ul0RCnHGSdewbYfsId6H02fcciG6SY7zO3DFXSzNdHzH0uHFvZQJOczYECeTvM\nw3Zc3pYAWHt237n9X+3R2Q7QjjvNyUuHSD6le57AEqHPI4hMJQxGd/VK+mEKX4XBffbhd7vYtUcL\nOuraRvWJMGX9l+B8L9fB6S725G+NiP7eCe3lpZ1n1Dk6YxZ6Z7Jku/AepTmWY9s3Uj0QzqNdgun3\nZDvIff5OjGwCA6g5lxuzBVlRiBQi14bJYPCPf6nYPbImwrnhYxzlpegnvsq8OXvX2HTS14IVmjTy\n2Mh9/Dr2wLb2FGfq7/6tV+Rtbf8AqvgNg5IsIx2epD08ZNj9iyjb256kIfdrDExUcLI05/YB3+QT\nh/CY19sld+rPuBYXSRms9m8MYM6f2Xt9PRFzId89gHpz/pKGadLihvc9mLTh7FNCJmbZQ7u+W89Z\nBPpII0JpEJzXIGnddvLlJjKy64WvEyJ0C9VyKRrxHYD53JHfH5B+Dy1UTo31fZDT9WYf3aaI9Tsa\n4PrIA+yGB9RnW/3ZeYWFnjYex7ljCTM/2RLLwh+pOZHAtZk95bEPG0+/Zi4eSN7ZWPSMoiufxnax\nn8uiD/3DiHGDiBveWxTTo7dv8A/kuwcwLatOEKvEC+n09g0p0PxaAcPn5AQ9CaMDGn8nwe7fcrwN\nmE9gro59NuU4fX2yEXP8iwsT+ycP2KXP2ui/D8j9k3s28ycNktDFzehFB9/wvc9fes4vtp8Xlhuy\nkObEvJsmPwONx8jE32NuHbcoeReuHhjGJgf2IEE/3ZSTNfdzbDFyMPR9GzC6vyfgXMz1/SNcB88X\n3q04jre2X+sbtmq/VKtTnoQSx+m9hT+33OYdL9mbMDIdDPIlyDBHfh/7tnX7j4Zcvf1l4/bMZ62W\nRyAHjDrDyMQ24L22LvGP3aeRNF/KQz35dJxupeRpFwz6xFsrm2b2ebfV9f8Acez+/BPEywEGv2R0\n0u2Sb2XGXrY047ezxu3ZwfksZ9lvXw069s8TyPuWPuwufUuGWJF05ZikuKeXpXsOGQI63Y7arNwS\nAfV/VMG1hQCf1dvLuzm2n15IMJfrskdd8t8iDt0yHMJDfbed2csByNfErA6gbIlF/LF/6r42PCFn\nu8IJHmkWK+3WNAlMQQHG5Zb+8Ps5/ZMH4WY5wiVz233wuht4/LMmHPsqq+Wy2RvSzo4Lmnm3APDX\n+WAOev8AbHsPmNpCE4xmdZnXi8xBFNjEJ9mcmLHo3gA7ojaO5vhyC+thl6ijgp+3NiDHZAHhlDgP\n5aHVQvrOsJi+bPh/qRfOL2DW+uzh7Ps7OvCevGXQbgm83l49+4Cj4zNY8PttD7LgdXk+ZwulmpHk\nmx/5/BwO2IyOzzj23kGzb536u2fcuKYPBZCh/gyyBni4WZGLNutAOKe7CykLvPyKv/Z9hgT8h9jA\nUoMjqA5iNMFmv9gLzyXfQ9mIwT6uqbmuOEwNnM0jeAc6M+gFedPJBc43OWQNe/PZU2pmyOF0/JED\n2f6m8Pqx59lzK3AHT20ZPPW0U9LPrMcvsuISy0ytanvU5eQxOOS4Fy5nXsPyGR9giThy820z34Hv\nZ9jnZ6zPCYb8+pA9frs8R75gzxZH92EHL9tnaIe6wuh/NlwHC2PebLy5+SWyB4yPqOp0SZDHd2/z\nHNs5DV7AuIHuEvnPBtgun8TD1q/PyGwD9kuv08biax7+iyfD8MFOicLz8tD+riX2THPR8tXBqY1h\neHkIh+En6fI9yh0bDV+7N5afUu50tDX9gKeEvpWTq34z2fb7+HIgAXSRF+43Y7ZKRhBaciOeyhdL\no+ct1yP/AEsg/ZEH444y7c6vUtuLP0h15Dp/IZ/OW4yc0eyncGnIa7M4PPJc3Gl7Xy8AexVPpY8P\ny/8AFvXOyB7IOHlrTDnbBQgVIXZiRDrOez52waSzmWc5FPJkJuIa8t50vt+AK3HP2/8AVWH5YQWW\nPfJSDwMvAHT6k0y9/IlgIAO9C2aFMkbOkHULKN+txExzxB1LsbneXv8AMry9udyKgWPNWPC/lhWe\nxptxNj09/wCrcQF5lsng+ntoFmOcWIQ+MZgfoWSRh+pzWT+yZvGBTYyc/kTErzkwGA5FZdXZrEv1\nYDvFCnk5AnIbdfUXxGWM9bdvUzAPu8w8gM+4ETDwkQgxmmT0Ppfg/IQ8khcgxusnh8ET23Xvwi8v\nEKCDtcCw+/YM6/w9sdX/ABMJ50Bj+Moh/q5zGu/sI+w1mX2y3xFP2G3Oj+rG5EGRhn1D7hgeZy0T\n7EKJ49mGgn2JZwo5n5FH/c7FhTIrkX6Dli5+rP0EIfq0UxTppOjV3b9gWGD7ndLRZ5thLv5KHh82\nCn6eQKXvbqv1MAWOha5/boHkXUgH9m+7fyXR+XEFuHfZaLJ3txNjUG7HkepwWfnZ+E5dEz6h4on9\ntEhQ1BPMdcZCHL7CMqAXWRO+LYlG4xidPIuKL/LqFjzYEHkLPhMKuW8ZFBZ3t33Xq0x0eS2ri+S3\nR37kniGu4H8lZ/vwxeysbiSunNgAn+2APbkPpZ3hkAfqYMMfVhiYNon6voWZdk5ul+65A+tFt0Py\nRk9ZO9mJ3t58ei+/gBgXBlJuYet0kJNwnkZZ93eWPb5ZOPb9X+Sbk9I423U4th/e2GP2Ge/cwtb8\nntwyzbDJjLD2WDL3M9mQIwH5aiyGH1ddWdP3cnbBkbaBe+TqtvlkyMtPJNiqX/nSq2lyS5vt5xb/\nACNCNvf5L+T/AJaD67A8fp8ZF3n7tofA2d6P4kfGKyDokTec5M2ff24g8tdPqR7pd5nwpH8hI2fT\n88uT+tpmeya5D+58Y5149hAPO5+26kPvbQz6WSu9mWc+Lk8iQy1c7YTbmnZRfhY/yW7EurF/DbAL\nc+z6sUY5bL16uXXkbXF5Iy5Gx3hPF7JnG2/ex6gYLy5BFenbTGHCzH5AT2f/AJh8tZ7KrOb8Ayr9\nHVxglssAfCbyXpgdnxywYRzi7CAYP1vt5ifI77/qzYedYbDzWW2LX9QK9dyag1WMbZNvcz7fkQj7\nj/ZBesio8YjO3uElRH/7tWvHfYf+ct4iS/3/AGSDuIlUBhUMH9n2aet2Bz9RjY7Nw+/2Xh+7agwN\nPwnwELEJAcYsWo6vollfqNReDywGw/a0dJO+xXotVbc2X4XG+X1X+2E58gdCGQw9lXrDjdDDP+L6\n+ArhBCcxtQf7YcBNiB1eu5Po4mAh24QlzB3LYV/RlpUgiBqf7EQHPYrZ+F+5esWRuc7IeBvl07Wb\nif4gf6PCRGgvIiKD0RYOmyftk31H8jQeJOfpdiE9XhDZg4/V2NkcG1R7kQH2sjwHb+yTqrd/Uwn6\nnIefQ7KsPUd7eu332cdyyzPhkHxnI6tafVgIt/2z8yunYHfJcPuze/ssG+0gzQficJLc729f7Krk\nmmxxpHAmvfkAtrLVv8Q/dyFjdu+EfT9XpI+/qPHOFjgXXs8YMldey/a9uSzuMvfDjbdf9S5IQwuG\nX17Iknl1xbAcYGQ77Bn1He7ZA+X/AKqPj1EHyXPv8yJRD7v3t6U5Li5hHaqc/wBuoObJ0fJG8/Zo\n/wCzHnGeBdmGvSfR5l9DCRI/sWK78aIMQ7/7MTDv/BJsnwfyfbF7eDnwnOnzdZYTD/ZgGHhbf+KJ\nEur2M2/lx9gMvCzI/ud9x5aqH33yyB5vLn3WUzFP1O+D+2PQDrJ+j4nM9PYd9l+7jEBd8Z3y8B78\ndPG8vwI+WCDbOSYWFrYfcgh7/JG2isVzh34oPXzViJrHCQ7jnu/cKLIHTICOrDANHmR8ffyOj63U\nhg4hNcfkieB3c+pYm8CL+e3CcH+y/T++bLMTPvtkIO/U+/nfyahp+cvX8n6Rr9Wa+dT8/V1V8vvn\n02Tx6spmIsah+ryc9Syk6vvd5lnJ0byOHPryX3I8PuOMu5eIeIeRyUQD6vpuSLAZl9K2S5GwIQ3I\nFkTL7epyP+Ht5rrc0HkjozA6w+Ra7wJS+3sOII9mDpn3MPZU53J1Bm+sYOgc2ZH6spTD/dnJFPPp\nLI66y+oHDKn1l+eeN4LxjPiaQ6K+xz5ZhoP7Mp9Jy2l42z+HSzV4uKe+X1zjlpx0s3yeXKPCPx7L\nnX7uxvfuJPhxBp9J78T9Jaseyd/kASmfJ/kDyGHY8JBImj92D7dsMWWMhdzyeYXDI6P7aal/0sDv\n2Qxgrz2IHfYHgnS3HJPfud0xsDsFW+X4T724o13+3s/J715soHCbecnMH7sMD2209zZ6jM5+R/CU\n+7qK892xmbR0kJi2+Lj228n/AO4BqUG5nbryRdvqfUNhP9hxUh5259mC/wDRQfHDntm65aUXZSVf\nf25/yHF+rfg3U3thp4+phTwTxE9l+b7RjE84yAaHkzw3nmD+7Dyjaf2zi58ZmQDxsni5zkw97+7G\ngQz3Nn39HWyMB4ZaS/ohLH/nCifbAGfUzgOnmWQThbqfuN7w/wBjrofTZY5u2xg+3IyLO4GRnELo\nen1O0Gf5BpvGw6S8/wAv+4+7wfv3aAXp3kQa+XLPF/X3bAt/dvuR+vi9HezTtu6lste2Blp+ou3p\ntKcsfbQe3TYUI9hELu7fhT+Qup1dDoZDB6xyIVdP7EFnB2wp7fRCnTIeEE1n7MkoOstQceD2yiPT\nyzdDaN6IX3tg1od38ttP5WfTj7IQV8LC0h233CjqM44nIkhpsAUQd4R/nqNB84H8siAn1EA8zZCt\n9Ta/l7XRI8LPASmB/ZS5YOTinUxB9sRc7B5dBtgvxsMxs4VlrMVeod9nm20z42ydGBXj3khDF+W3\n0Hmxi9P7tMuZtuo3wnOuPRwgXcLD2z7b4eMaDqxKeL7kJ+9lHGH7anQLeWZJOM30Sc/tqbot59+A\nPbL/AElNmJ4GnJxPp/LIfRmGy6hJnw8Lf/dMD9kif+EoPjDo3mssodl5+OzI9/bbzJF0zp7cH+wH\n+rlnR5nwMT7MISKy07em8b12+k+zPZ3OQ5rFrHf8SAC00+2x3y8L9wcg+yVvLJ26t+4F2w+SLfkp\nt193n+LuhrfqRmfUuQ0SQy9RwvVp9xYYSQyG9fbKJ2wSvbOv7cT6hw/sYEO3JPuTuWdt0f7aAOZY\nHs+rIJCZOLe5K4Q/+545YzpNv8uoG+SmXTsum2/lj7H/AMSCyNugp7wuOOxSKAPNn9APouEejI/Z\nBwaW4g0fotx+n5HDv39R0VrfyG9n1CNAPXWAV4WiG3/YIbza8OQbJfLoId7DII9OzcB50j419CeL\njyTpuEkScmeTFq9jrD2bzM7uRJ6WeRf9TeXQiH9tjTvPsbANOdPLXC+xlxNtcRZ5LrrjnJzGxPRi\nUNOEuvufslCYER26PmMI3G/liDxYPZ6ke/yQdQLEF2OiHeX0Wtg78M5ZhZmz72fFmfV0f5FpDFYz\nF2ByVg7YRuB+zm8NHrZFfwjKCLen3LUPPpGJv2b9suPVfZHDrzn1F+I07fmCBC/7A/8A4iaOvv8A\n6shdQOQ9TXvZfZAw/rN3CPttn6Sjz020PiWEFOnbiuh+SWnjGEMklrnF1n3NHde2S/bR/DLH8XMb\nyQ2qYclOHbG/20Gf5DyPljl7LQLeg2TLS79yd8j2JJZB+N7DZwsNIXb3vn5aP2J6cL82O2COGzRH\nf0sGWKHmQ6ZvYGzrzYhT9sP8XICP869y5Fz7ywbS4az6TQT5cO/fbX2fnYf3jKcRxAfL8FgD9E7q\nCdJY/UAYfkqn4Y7COz6lF/ck4uMN46Tg9DO2c+7Q3NF/MRYH2WYyQB+W7f2+1eQMe+IMU+tnhDZv\nrZd+5Nkk5ae2wMGF9luQ4wKL1+Q92SgeXRspKMuJGZueJ9ctjkD5G7vwWmcjYTywbXqNP9yHcfhY\na3/YdD6ggwmcFjplPvlgn8v9SZ/y+uea+riQWSfl0I9lWu3nI3j7tOkMCE23Z57CJkcwjoS/UreM\nPLgmDseX8xMwtAz/ANxDV4dOSeODbg5loc9mM/2yl0v4wpUxYa+335Nmn/iMHRe37Fgx1fiRN3kn\nweknDn7ce/Umj73OW3yB0/skOEb+GynSeHGz5azW8f4uYzF4x/I41TIiExvuQn49SUwP+7eK7d8I\nQCAf8gn+hJUIMBZVOJ65yZwL6z3/AKnS8T8sYd179yRjMuu0H1aY4OWwY7wywzn9/digA276X5M0\ncTYe3NjSfIhySJvkiPNh9QK36fdiz6Tj/wBz59QYRau/9XJLsnFwP78E+v5aXTvyQxg+kyLJ6TM7\ngfH2PY6l/GW2L/h/+YEgOch6dlZx4/cEYgILTrkwJ0DMgkOPsGGzM4QiBzPI/nfAfVrNB5zNtbWn\nOezABMUeT2nlor3P/EtPf6Y//UYnK8w1med+1LC08nud9m97M+3oiGj9+oeidf6kNBxfU4RPIzDb\nxsvu1sEHCfmwYnbxvxG2RiDO8j2YT0tP4jm/hdf8H3EogL92XwD6y0Xkmc5NfpIjiY+SRwR5JJi9\nAwh4D5KdoPQuLk/UrxUETEczLCBPsQzb9037hQ/f3PAKmJOG+pMRxLC7W0SY82Qyun1a/WiRIH+k\nhycb932vZMfgaD+3Bx9Wn2dnG+5zmWxkMWVC9YrzYvabPW7agnsP/mwRPq9hJ8M9LJzJs2fOWQxg\n2RS+hAEGwTl0wCeb/LdP2cT6SSQNwbY8Fgch3L7HwTclmmxhCWz3GvLbLV22e21PzLj/AHeuX/Y2\n21Z8fhDwH0XElSkeAhyeL+SwB5OGT3YWsNmcmtbYyB/iw+vbxPv8sfDsXel9x72F4lmerlkdJH1y\n2NdvsTvzIx6X/ofg1l9G27yfu9BHiM7pVj09D8lGSD5MfIfyPJEf9P3dI02HHNjNc4/y1GBOzeZY\noHmTx4IDDywB9gIvvbwPd+4cnAf/ADF0f4TNfGkwGJe+e2at/wC9jwE5aR4h0unOT9yXbDINuyfe\n3HeHGbtj/wClhzvnbiPN9yzgr8Ol6179TsdTugeowDpZv/S1B1X+xHYiOjn6gIeSI/x2c06GRfGw\nxY5y/DKhxa2u5B/kiMuQOn+yucukML6+D2Gwt5OOwOI8L8WGB7GcNGskAfvJ4f5F9pHUT+WYyOTX\nc8maMYGrd23VqZx9QrAfj6mVVYNgGON4yBgIdQX3f9n2b+rTR9+zuZX67Hv4CAP/ALlKA8w2z+t6\nvYKRA5A+h/sE/wDe2hpP4WMEMTHnT8kmDtqDQJMHv4ymePduzw6re748SIp+sn5HJ6fF1D+CDhan\n4QcszIhPYMWHVlvFj7bE63b/AIDZzXS9ruUD93SMy0GJ6EC/5dM3/wAXAdc/LzYb9RAGqb5Jk/8A\niBL0SOfv3YP7F3vOb+2K6Y7as5l+HJ1jyhljaaZ2FoeyfI33JNv3tgTMoAPQlTLQNg5dOxN5LgNx\ns3JgnPuOjFLxuQF9iL0VjOEQWmRX6v2XaGWcLggn4Dz5Tbv5GHJPVr7IG/Vh2Gg9vpv5wgzkOyIy\nD20D+z2CIJ6Q8tm4p3b33sFHicEy3fqPLsS+pBFCVk6IOvqDfL6FqsD7ICerLOXcMow+4YpzyBz+\nTP8ArH+wPNk3yITm/wBiRfcvMnkHNv8A0nH6k5BYOAujpMTPYa/82lnws9IEIIQt5R/3H0Tk+BRs\nenzOX/uhLt6hC/tHzZIg5/YdJ5mQN3krotgetpP23LjxkB8nY7nLGebDh66T52pmT4hX1FH/AINt\nGdOyIbjHqR31b1OT4WvgI3dZ7YvTrbx5+RxvTmnQhsyPoPW7qYfdksA+3JiEO/T9xf8ArIl9H3Ci\nD+pi31+rhD/WG4O2vLpyf8kjRk6XsFRyOct5yGy/UMfbtgfcA5eTYNRh7GjaSZll8s7rPXMmVxlh\nt8Ob2P8AIW137hnnkMxjASY9lHNdtKWQ3Z3WXZ5vhIs+Gmwvy9vWi3f2PX1csEX6FyZ79P1tyGj2\nIYhnl1oDP9tkwHtpx2cS4mWpW6HX4mAU79XXrxsHvj5C8PuNYrxzYtQXp5YTHT8X/tTaQPTD+SJd\nUtwr5huwJw9l2O9k6QcI8f4Q88vuLiPGbd2SZ5At9kcSy+//AAX8mBsIB7ab/wBZIdxQDT/uRNps\nuOkw9T4aG7MMdDybg9+QAnrkK+/d9Bcx9fV022TrQyUuHV0P1NkUIgGH1CL9DyXVdHIun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/7xL2IZSP1PqQdQ7709hPvxOsxtW7PM0fuHp9fqQ/nYx5IPLuZ2IiWH/US797l02Yh+Rz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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attribution: http://moviepilot.com/posts/3972495\n",
      "targaryen's Dragons Prevail against lannister!!\n",
      "2016-06-23 20:46:59,506 INFO sqlalchemy.engine.base.Engine UPDATE character SET deathday=? WHERE character.idn = ?\n",
      "2016-06-23 20:46:59,507 INFO sqlalchemy.engine.base.Engine ('2016-06-23 20:46:59.496650', 2)\n",
      "2016-06-23 20:46:59,510 INFO sqlalchemy.engine.base.Engine COMMIT\n"
     ]
    }
   ],
   "source": [
    "print(lannister.wage_war(targaryen))\n",
    "session.commit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-06-23 20:46:59,536 INFO sqlalchemy.engine.base.Engine BEGIN (implicit)\n",
      "2016-06-23 20:46:59,540 INFO sqlalchemy.engine.base.Engine SELECT character.idn AS character_idn, character.name AS character_name, character.birthday AS character_birthday, character.deathday AS character_deathday, character.house_idn AS character_house_idn, house_1.idn AS house_1_idn, house_1.name AS house_1_name, house_1.slogan AS house_1_slogan, house_1.super_house_idn AS house_1_super_house_idn \n",
      "FROM character LEFT OUTER JOIN house AS house_1 ON house_1.idn = character.house_idn \n",
      "WHERE character.deathday - character.birthday IS NOT NULL\n",
      "2016-06-23 20:46:59,541 INFO sqlalchemy.engine.base.Engine ()\n",
      "<Character(name='cersei', house='lannister')> <House(name='lannister', slogan='a lanistar always repays his debts')> 2016-06-23 20:46:59.496650\n"
     ]
    }
   ],
   "source": [
    "chrs = session.query(Character).options(\n",
    "                     joinedload('house')).filter(\n",
    "                     Character.life_span != None).all()\n",
    "# checking on house lanistar\n",
    "for c in chrs:\n",
    "        print(c, c.house, c.deathday)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### A quick note and a very useful function  \n",
    "If you are persisting your database (not holding it in memory like we have done here) and you need to build a relationship to some entry you made in a previous session (or you think you may have at least), you can use the following very convenient function:\n",
    "```python\n",
    "def get_or_create(model, session, **kwargs):\n",
    "    entry = session.query(model).filter_by(**kwargs).first()\n",
    "    if entry is None:\n",
    "        entry=model(**kwargs)\n",
    "    return entry\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "####  So we have to ask, can we use Pandas???"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "YES!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false,
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-06-23 20:46:59,551 INFO sqlalchemy.engine.base.Engine PRAGMA table_info(\"house\")\n",
      "2016-06-23 20:46:59,552 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,555 INFO sqlalchemy.engine.base.Engine SELECT name FROM sqlite_master WHERE type='table' ORDER BY name\n",
      "2016-06-23 20:46:59,556 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,560 INFO sqlalchemy.engine.base.Engine PRAGMA table_info(\"house\")\n",
      "2016-06-23 20:46:59,561 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,563 INFO sqlalchemy.engine.base.Engine PRAGMA foreign_key_list(\"house\")\n",
      "2016-06-23 20:46:59,564 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,569 INFO sqlalchemy.engine.base.Engine SELECT sql FROM  (SELECT * FROM sqlite_master UNION ALL   SELECT * FROM sqlite_temp_master) WHERE name = 'house' AND type = 'table'\n",
      "2016-06-23 20:46:59,570 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,571 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"house\")\n",
      "2016-06-23 20:46:59,573 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,574 INFO sqlalchemy.engine.base.Engine PRAGMA index_list(\"house\")\n",
      "2016-06-23 20:46:59,574 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,578 INFO sqlalchemy.engine.base.Engine SELECT sql FROM  (SELECT * FROM sqlite_master UNION ALL   SELECT * FROM sqlite_temp_master) WHERE name = 'house' AND type = 'table'\n",
      "2016-06-23 20:46:59,585 INFO sqlalchemy.engine.base.Engine ()\n",
      "2016-06-23 20:46:59,586 INFO sqlalchemy.engine.base.Engine SELECT house.idn, house.name, house.slogan, house.super_house_idn \n",
      "FROM house\n",
      "2016-06-23 20:46:59,587 INFO sqlalchemy.engine.base.Engine ()\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idn</th>\n",
       "      <th>name</th>\n",
       "      <th>slogan</th>\n",
       "      <th>super_house_idn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>lannister</td>\n",
       "      <td>a lanistar always repays his debts</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>targaryen</td>\n",
       "      <td>fire and blood</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>stark</td>\n",
       "      <td>winter is coming</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>freys</td>\n",
       "      <td>None</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   idn       name                              slogan  super_house_idn\n",
       "0    1  lannister  a lanistar always repays his debts              NaN\n",
       "1    2  targaryen                      fire and blood              NaN\n",
       "2    3      stark                    winter is coming              NaN\n",
       "3    4      freys                                None              1.0"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.read_sql('house', engine)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Building an SQLAlchemy ORM from an existing database  \n",
    "\n",
    "The database created above has been persisted to 'test.db' to have an existing database from which to create an ORM.  \n",
    "\n",
    "* You can autogenerate the Python Code for a declarative based ORM using [**sqlacodegen**](https://pypi.python.org/pypi/sqlacodegen/), just *pip install sqlacodegen*\n",
    "* You can implicity build the ORM using [**Automap**](http://docs.sqlalchemy.org/en/latest/orm/extensions/automap.html) found in SQLAlchemy.  While you get a fully functioning ORM, it doesn't explicity render the Python code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# coding: utf-8\r\n",
      "from sqlalchemy import Column, DateTime, ForeignKey, Integer, String\r\n",
      "from sqlalchemy.orm import relationship\r\n",
      "from sqlalchemy.ext.declarative import declarative_base\r\n",
      "\r\n",
      "\r\n",
      "Base = declarative_base()\r\n",
      "metadata = Base.metadata\r\n",
      "\r\n",
      "\r\n",
      "class Character(Base):\r\n",
      "    __tablename__ = 'character'\r\n",
      "\r\n",
      "    idn = Column(Integer, primary_key=True)\r\n",
      "    name = Column(String, nullable=False)\r\n",
      "    birthday = Column(DateTime, nullable=False)\r\n",
      "    deathday = Column(DateTime)\r\n",
      "    house_idn = Column(ForeignKey('house.idn'))\r\n",
      "\r\n",
      "    house = relationship('House')\r\n",
      "\r\n",
      "\r\n",
      "class City(Base):\r\n",
      "    __tablename__ = 'city'\r\n",
      "\r\n",
      "    idn = Column(Integer, primary_key=True)\r\n",
      "    name = Column(String, nullable=False)\r\n",
      "    ruling_house_idn = Column(ForeignKey('house.idn'))\r\n",
      "    region_idn = Column(ForeignKey('region.idn'))\r\n",
      "\r\n",
      "    region = relationship('Region')\r\n",
      "    house = relationship('House')\r\n",
      "\r\n",
      "\r\n",
      "class House(Base):\r\n",
      "    __tablename__ = 'house'\r\n",
      "\r\n",
      "    idn = Column(Integer, primary_key=True)\r\n",
      "    name = Column(String, nullable=False)\r\n",
      "    slogan = Column(String)\r\n",
      "    super_house_idn = Column(ForeignKey('house.idn'))\r\n",
      "\r\n",
      "    parent = relationship('House', remote_side=[idn])\r\n",
      "\r\n",
      "\r\n",
      "class Region(Base):\r\n",
      "    __tablename__ = 'region'\r\n",
      "\r\n",
      "    idn = Column(Integer, primary_key=True)\r\n",
      "    name = Column(String, nullable=False)\r\n"
     ]
    }
   ],
   "source": [
    "!sqlacodegen sqlite:///test.db"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Notice that while the above Python code lacks the methods and some of the more robost relationship syntax, it is equivalent as far as the SQL code can express.  \n",
    "* The relationships will evaluate to sql expressions around the foreign keys, so feel free to make them more robust by back populating as was done in the original Python code.  You will not change the database schema in any way unless you change the foreign keys.\n",
    "* The methods also evaluate to sql expressions, so if you want them, you will need to create them on this \"barebones\" python class structure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<sqlalchemy.ext.automap.house at 0x7fee773b4ac8>,\n",
       " <sqlalchemy.ext.automap.house at 0x7fee773b4b38>,\n",
       " <sqlalchemy.ext.automap.house at 0x7fee773b4be0>,\n",
       " <sqlalchemy.ext.automap.house at 0x7fee773b4c88>]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sqlalchemy.ext.automap import automap_base\n",
    "\n",
    "Base = automap_base()\n",
    "engine = create_engine(\"sqlite:///test.db\")\n",
    "Base.prepare(engine, reflect=True)\n",
    "session = Session(engine)\n",
    "# the table names are retained as the class names in the mapping\n",
    "House = Base.classes.house\n",
    "\n",
    "session.query(House).all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "name:  lannister\n",
      "  super_house: None\n",
      "  members: ['cersei']\n",
      "  cities_owned: ['kings landing']\n",
      "  sub_houses: ['freys']\n",
      "name:  targaryen\n",
      "  super_house: None\n",
      "  members: ['daenerys']\n",
      "  cities_owned: ['meereen']\n",
      "  sub_houses: []\n",
      "name:  stark\n",
      "  super_house: None\n",
      "  members: ['arya']\n",
      "  cities_owned: ['winterfell']\n",
      "  sub_houses: []\n",
      "name:  freys\n",
      "  super_house: lannister\n",
      "  members: []\n",
      "  cities_owned: []\n",
      "  sub_houses: []\n"
     ]
    }
   ],
   "source": [
    "for h in houses:\n",
    "    print('name: ', h.name)\n",
    "    try:\n",
    "        print('  super_house:', h.house.name)\n",
    "    except AttributeError:\n",
    "        print('  super_house:', h.house)\n",
    "    print('  members:', [m.name for m in h.character_collection])\n",
    "    print('  cities_owned:', [c.name for c in h.city_collection])\n",
    "    print('  sub_houses:', [s.name for s in h.house_collection])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "The above automap is very powerful by default.  Unlike sqlacodegen, you don't get the Python code, but you do retain full bi-directional relationships.  The naming schema is explained the documentation and can be adjusted to your liking upon automapping.  \n",
    "\n",
    "With these above two options, you can do quite a bit with existing databases!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "For a nice article on how data scientists can benefit from ORMs, check out the link below:  \n",
    "\n",
    "http://danielweitzenfeld.github.io/passtheroc/blog/2014/10/12/datasci-sqlalchemy/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### PyCon 2016 Highlights!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Pycon was held in Portland Oregon this year and will be in the same place next year! [PyCon 2016](https://us.pycon.org/2016/)\n",
    "* 2 days of Tutorials\n",
    "* 3 days of Talks (the main conference)\n",
    "* 4 days of Sprints (work on open source projects and learn lots!)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### Diversity, Education, Data Science, & The Future of the Web"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "#### Some outstanding Keynotes\n",
    "* [Lorena Barba](https://www.youtube.com/watch?v=ckW1xuGVpug)\n",
    "    - Language/Action perspective, Computer Education, Computer Literacy\n",
    "* [K Lars Lohn](https://www.youtube.com/watch?v=bSfe5M_zG2s)\n",
    "    - Education, Complexity, Life & Choices\n",
    "* [Guido van Rossum](https://www.youtube.com/watch?v=YgtL4S7Hrwo)\n",
    "    - Language Update, Computer Science education, a little history"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### Home Automation and Integration for Everyone!\n",
    "* [Home Assisant](https://home-assistant.io/) is a home automation system written in Python 3 with support for hundreds of smart home devices.  \n",
    "* The control is entirely yours, not rendered via the cloud\n",
    "* Supports automation \"scripts\" that can tie isolated devices together into a seemless ecosystem  \n",
    "\n",
    "Pycon 2016 Talk [Awaken your home: Python and the Internet of Things](https://www.youtube.com/watch?v=Cfasc9EgbMU)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### The Infamous GIL!!\n",
    "* Can we remove the GIL from Python??\n",
    "    - Yes, but everything slows down!\n",
    "    - Work is progressing to deal with the \"low hanging watermelons\"\n",
    "* Guido has mandated that the removal of the GIL must not compromise single threaded performance  \n",
    "* Maybe Python 3.7??\n",
    "\n",
    "Pycon 2016 Talk [Removing Python's GIL: The Gilectomy](https://www.youtube.com/watch?v=P3AyI_u66Bw)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### Jupyter Notebooks as a first class business application\n",
    "* At Yelp, they use jupyter notebooks to produce recuring and adhoc queries in multiple departments\n",
    "* Compiling jupyter notebooks into html for persistence\n",
    "* Button to toggle code\n",
    "* Plotting in matplotlib, but [bokeh](http://bokeh.pydata.org/en/latest/) may be an even better option if downloading to html.\n",
    "\n",
    "Pycon 2016 Talk [IPython Notebook in Data Intensive Communities: Accelerating the process of Discovery](https://www.youtube.com/watch?v=5gy6svL1DuU)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Find all of the talks and tutorials at the link below:  \n",
    "\n",
    "https://www.youtube.com/channel/UCwTD5zJbsQGJN75MwbykYNw/feed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Questions??"
   ]
  }
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