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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "1986bd55",
+ "metadata": {},
+ "source": [
+ "# Linear Algebra 1\n",
+ "\n",
+ "- Installation requirements: `pip3 install rasterio Pillow`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "e6f50cc3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "\n",
+ "# new import statements\n",
+ "from sklearn.linear_model import LinearRegression"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7736923a",
+ "metadata": {},
+ "source": [
+ "### Where do numpy arrays show up in ML?\n",
+ "\n",
+ "- A `DataFrame` is just a matrix wihout column names or row indices"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "327c8314",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>x1</th>\n",
+ " <th>x2</th>\n",
+ " <th>y</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>0</td>\n",
+ " <td>2</td>\n",
+ " <td>1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>3</td>\n",
+ " <td>4</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>8</td>\n",
+ " <td>5</td>\n",
+ " <td>6</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " x1 x2 y\n",
+ "0 0 2 1\n",
+ "1 2 3 4\n",
+ "2 8 5 6"
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df = pd.DataFrame([[0, 2, 1], [2, 3, 4], [8, 5, 6]], columns=[\"x1\", \"x2\", \"y\"])\n",
+ "df"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c6af6a3e",
+ "metadata": {},
+ "source": [
+ "`df.values` gives us a `numpy.ndarray` of all the values.\n",
+ "`nd` stands for n-dimensional:\n",
+ "- 2-dimensional for matrix\n",
+ "- 1-dimensional for vector"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "4b416b92",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "<class 'numpy.ndarray'>\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "array([[0, 2, 1],\n",
+ " [2, 3, 4],\n",
+ " [8, 5, 6]])"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "print(type(df.values))\n",
+ "df.values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "156f0722",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([-2., 7.])"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model = LinearRegression()\n",
+ "model.fit(df[[\"x1\", \"x2\"]], df[\"y\"])\n",
+ "model.coef_"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "069a423e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([1., 4., 6.])"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model.predict(df[[\"x1\", \"x2\"]])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "30e8f41d",
+ "metadata": {},
+ "source": [
+ "#### How does `predict` actually work?\n",
+ "\n",
+ "- Matrix multiplication with coefficients (`@`) and add intercept"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "5809ea1b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([1., 4., 6.])"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df[[\"x1\", \"x2\"]].values @ model.coef_ + model.intercept_"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "dcd299a3",
+ "metadata": {},
+ "source": [
+ "### How to create numpy arrays from scratch?\n",
+ "\n",
+ "- requires `import numpy as np`\n",
+ " - `np.array(<object>)`: creates numpy array from object instance; documentation: https://numpy.org/doc/stable/reference/generated/numpy.array.html\n",
+ " - `np.ones(<shape>)`: creates an array of ones; documentation: https://numpy.org/doc/stable/reference/generated/numpy.ones.html\n",
+ " - `np.zeros(<shape>)`: creates an array of zeros; documentation: https://numpy.org/doc/stable/reference/generated/numpy.zeros.html"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "cae8622e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([7, 8, 9])"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.array([7, 8, 9])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "a3a7c724",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([1., 1., 1., 1., 1., 1., 1., 1.])"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.ones(8)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "64d5a747",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([0., 0., 0., 0., 0., 0., 0., 0.])"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.zeros(8)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "77dba590",
+ "metadata": {},
+ "source": [
+ "#### Review: `range()`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "c9d01064",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# 0 to exclusive end\n",
+ "# range(END)\n",
+ "list(range(10))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "625055f6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"
+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# inclusive start to exclusive end\n",
+ "# range(START, END)\n",
+ "list(range(-4, 10))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "138db7bd",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[-4, -2, 0, 2, 4, 6, 8]"
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# inclusive start to exclusive end with a step between values\n",
+ "# default STEP is 1\n",
+ "# range(START, END, STEP)\n",
+ "list(range(-4, 10, 2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "2ad2439f",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "TypeError",
+ "evalue": "'float' object cannot be interpreted as an integer",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[13], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# range cannot have floats for the STEP\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28;43mrange\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m4\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0.5\u001b[39;49m\u001b[43m)\u001b[49m)\n",
+ "\u001b[0;31mTypeError\u001b[0m: 'float' object cannot be interpreted as an integer"
+ ]
+ }
+ ],
+ "source": [
+ "# range cannot have floats for the STEP\n",
+ "list(range(-4, 10, 0.5))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "82d9884b",
+ "metadata": {},
+ "source": [
+ "#### Back to `numpy`\n",
+ "- `np.arange([start, ]stop, [step, ])`: gives us an array based on range; documentation: https://numpy.org/doc/stable/reference/generated/numpy.arange.html"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c7546ba3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# array range\n",
+ "np.arange(-4, 10, 0.5) "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3b2907d7",
+ "metadata": {},
+ "source": [
+ "#### Review: Slicing\n",
+ "\n",
+ "- `seq_object[<START>:<exclusive_END>:<STEP>]`\n",
+ " - `<START>` is optional; default is index 0\n",
+ " - `<END>` is optional; default is `len` of the sequence\n",
+ "- slicing creates a brand new object instance"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "dc6c1b73",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# REVIEW: Python slicing of lists\n",
+ "a = [7, 8, 9, 10]\n",
+ "# slice out 8 and 10\n",
+ "b = a[1::2] \n",
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0fc53657",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b[1] = 100\n",
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1fb36b9f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# original object instance doesn't change\n",
+ "a"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a79b7bb6",
+ "metadata": {},
+ "source": [
+ "Slicing is slow because of creating a new object instance."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ce7a536a",
+ "metadata": {},
+ "source": [
+ "#### How to slice `numpy` arrays? \n",
+ "- Unlike regular slicing `numpy` slicing is very efficient - doesn't do a copy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "290899b7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = np.array([7, 8, 9, 10])\n",
+ "# slice out 8 and 10\n",
+ "b = a[1::2] \n",
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "34d9d044",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b[1] = 100\n",
+ "a"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "27341ca0",
+ "metadata": {},
+ "source": [
+ "How can you ensure that changes to a slice don't affect original `numpy.array`? Use `copy` method."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "fe625eae",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = np.array([7, 8, 9, 10])\n",
+ "b = a.copy() # copy everything instead of sharing\n",
+ "b = a[1::2] \n",
+ "b[1] = 100\n",
+ "b, a"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b5b407e8",
+ "metadata": {},
+ "source": [
+ "#### Creating Multi-Dimensional Arrays\n",
+ "\n",
+ "- using nested data structures like list of lists\n",
+ "- `shape` gives us the dimension of the `numpy.array`\n",
+ "- `len()` gives the first dimension, that is `shape[0]`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c44b5951",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = np.array([1, 2, 3])\n",
+ "a, len(a)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "99456855",
+ "metadata": {},
+ "source": [
+ "How many numbers are there in the below `tuple`?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8b9fe7e2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "40b1d392",
+ "metadata": {},
+ "source": [
+ "One number in this `tuple`, and it is 3."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "96716ca6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 2-D array using list of lists\n",
+ "b = np.array([[1, 2, 3], [4, 5, 6]])\n",
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "3053945b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7e08dd1a",
+ "metadata": {},
+ "source": [
+ "2 dimensional (because two numbers are there in this `tuple`). sizes 2 and 3 along those dimensions."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2340a5e6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "len(b)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ed5979bc",
+ "metadata": {},
+ "source": [
+ "#### How to reshape a `numpy.array`?\n",
+ "\n",
+ "- `<obj>.reshape(<newshape>)`: reshapes the dimension of the array; documentation: https://numpy.org/doc/stable/reference/generated/numpy.reshape.html"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f3d08197",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b7d18682",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.reshape(3, 2)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2189e09b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.reshape(6)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5588c5f8",
+ "metadata": {},
+ "source": [
+ "We cannot add/remove values while reshaping."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "75106197",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.reshape(5)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "6bb8c765",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.reshape(7)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3d56dad4",
+ "metadata": {},
+ "source": [
+ "-1 means whatever size is the necessary shape for the remaining values. Enables us to just control one of the dimensions."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f3c16ff5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.reshape(3, -1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "22cc87bc",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.reshape(-1)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1b02eb22",
+ "metadata": {},
+ "source": [
+ "Generate a 10*10 with numbers from 0 to 99."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "87ca1111",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "np.arange(100).reshape(10, -1)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "01e7bf19",
+ "metadata": {},
+ "source": [
+ "### Vocabulary\n",
+ "- scalar: 0 dimensional array\n",
+ "- vector: 1 dimensional array\n",
+ "- matrix: 2 dimensional array\n",
+ "- tensor: n dimensional (0, 1, 2, 3, ...) array "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "63ca66d0",
+ "metadata": {},
+ "source": [
+ "### Images as Tensors\n",
+ "\n",
+ "- `wget` command:\n",
+ " - `wget <url> -O <local file name>`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9469b3b8",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Only run this cell once\n",
+ "!wget \"https://upload.wikimedia.org/wikipedia/commons/f/f2/Coccinella_magnifica01.jpg\" -O bug.jpg"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b9d16352",
+ "metadata": {},
+ "source": [
+ "#### How to read an image file?\n",
+ "\n",
+ "- required `import matplotlib.pyplot as plt`\n",
+ " - `plt.imread(<fname>)`: reads an image file into a 3-dimensional array --- rows(pixels), columns(pixels), colors (red/green/blue)\n",
+ " - `plt.imshow(<array>, cmap=<color map>)`: displays the image"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "6269ce42",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = plt.imread(\"bug.jpg\")\n",
+ "type(a)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9f455a42",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 3-dimensional array\n",
+ "# rows(pixels), columns(pixels), colors (red/green/blue)\n",
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "44973823",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plt.imshow(a)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e973dd28",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a \n",
+ "# each inner array has 3-color representation R, G, B\n",
+ "# two color scales: floats (0.0 to 1.0) OR ints (0 to 255)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "59023dad",
+ "metadata": {},
+ "source": [
+ "#### GOAL: crop down just to the bug using slicing\n",
+ "\n",
+ "- `<array>[ROW SLICE, COLUMN SLICE, COLOR SLICE]`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4a1f059f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plt.imshow(a[600:1600, 400:1650, :])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c41c6a04",
+ "metadata": {},
+ "source": [
+ "#### GOAL: show clearly where RED is high on the image\n",
+ "- two formats:\n",
+ " - 3D (row, column, color)\n",
+ " - 2D (row, column) => black/white (red/blue)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9924cb83",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "21c34e89",
+ "metadata": {},
+ "source": [
+ "Pull out only layer 0, which is the red layer.\n",
+ "- 0 is red\n",
+ "- 1 is green\n",
+ "- 2 is blue\n",
+ "\n",
+ "Use index only for the color dimension and slices for row and column dimensions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "50b32a7a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a[:, :, 0].shape "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "0d4c8b80",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'a' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[14], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# instead of using black and white, \u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;66;03m# it is just assigning some color for light and dark\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m plt\u001b[38;5;241m.\u001b[39mimshow(\u001b[43ma\u001b[49m[:, :, \u001b[38;5;241m0\u001b[39m])\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'a' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "# instead of using black and white, \n",
+ "# it is just assigning some color for light and dark\n",
+ "plt.imshow(a[:, :, 0])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "71efa2de",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# better to use grayscale\n",
+ "plt.imshow(a[:, :, 0], cmap=\"gray\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9bad669a",
+ "metadata": {},
+ "source": [
+ "Wherever there was red, the image is bright. The bug is very bright because of that. There are other places in the image that are bright but were not red. This is because when we mix RGB, we get white. Any color that was light will also have a lot of RED.\n",
+ "\n",
+ "This could be a pre-processing step for some ML algorithm that can identify RED bugs. "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e8a4f511",
+ "metadata": {},
+ "source": [
+ "#### GOAL: show a grayscale that considers the average of all colors\n",
+ "\n",
+ "- `<array>.mean(axis=<val>)`:\n",
+ " - `axis` should be 0 for 1st dimension, 1 for 2nd dimension, 2 for 3rd dimension"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "0235c6b7",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'a' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[15], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# average over all the numbers\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;66;03m# gives a measure of how bright the image is overall\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43ma\u001b[49m\u001b[38;5;241m.\u001b[39mmean()\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'a' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "# average over all the numbers\n",
+ "# gives a measure of how bright the image is overall\n",
+ "a.mean()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "78e5988f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "de0a1eae",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'a' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[16], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# average over each column and color combination\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43ma\u001b[49m\u001b[38;5;241m.\u001b[39mmean(axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m)\u001b[38;5;241m.\u001b[39mshape\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'a' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "# average over each column and color combination\n",
+ "a.mean(axis=0).shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "c658655d",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'a' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[17], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# average over each row and color combination\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43ma\u001b[49m\u001b[38;5;241m.\u001b[39mmean(axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\u001b[38;5;241m.\u001b[39mshape\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'a' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "# average over each row and color combination\n",
+ "a.mean(axis=1).shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "85656235",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# average over each row and column combination\n",
+ "a.mean(axis=2).shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "a57d5077",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'a' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[18], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m plt\u001b[38;5;241m.\u001b[39mimshow(\u001b[43ma\u001b[49m\u001b[38;5;241m.\u001b[39mmean(axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m), cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgray\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'a' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "plt.imshow(a.mean(axis=2), cmap=\"gray\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "66d7dcef",
+ "metadata": {},
+ "source": [
+ "This could also be a pre-processing step for some ML algorithm that expects black and white images."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "82d66d7a",
+ "metadata": {},
+ "source": [
+ "### Vector Multiplication: Overview\n",
+ "\n",
+ "#### Elementwise Multiplication\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "*\n",
+ "\\begin{bmatrix}\n",
+ "4 \\\\ 5 \\\\ 6\n",
+ "\\end{bmatrix}$\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "*\n",
+ "\\begin{bmatrix}\n",
+ "4 & 5 & 6\n",
+ "\\end{bmatrix}$\n",
+ "\n",
+ "### Dot Product\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 & 2 & 3\n",
+ "\\end{bmatrix}\n",
+ "\\cdot\n",
+ "\\begin{bmatrix}\n",
+ "4 \\\\ 5 \\\\ 6\n",
+ "\\end{bmatrix}$\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "\\cdot\n",
+ "\\begin{bmatrix}\n",
+ "4 & 5 & 6\n",
+ "\\end{bmatrix}$"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "61dca7b3",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[1],\n",
+ " [2],\n",
+ " [3]])"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1 = np.array([1, 2, 3]).reshape(-1, 1) # vertical shape\n",
+ "v1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "id": "f4a3167b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[4],\n",
+ " [5],\n",
+ " [6]])"
+ ]
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v2 = np.array([4, 5, 6]).reshape(-1, 1)\n",
+ "v2"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "888d7d1b",
+ "metadata": {},
+ "source": [
+ "#### Elementwise Multiplication\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "*\n",
+ "\\begin{bmatrix}\n",
+ "4 \\\\ 5 \\\\ 6\n",
+ "\\end{bmatrix}$\n",
+ "\\=\n",
+ "$\\begin{bmatrix}\n",
+ "4 \\\\ 10 \\\\ 18\n",
+ "\\end{bmatrix}$"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "9c7b9d31",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[ 4],\n",
+ " [10],\n",
+ " [18]])"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1 * v2 # [1*4, 2*5, 3*6]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2bd28f4f",
+ "metadata": {},
+ "source": [
+ "#### Transpose\n",
+ "\n",
+ "- flips the x and y"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "id": "c973a6d9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[4],\n",
+ " [5],\n",
+ " [6]])"
+ ]
+ },
+ "execution_count": 22,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "id": "db61f49e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[4, 5, 6]])"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v2.T # horizontal"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "id": "a95fc59a",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[4],\n",
+ " [5],\n",
+ " [6]])"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v2.T.T # vertical"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "id": "1d11b30c",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(3, 1)"
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "278c5332",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(1, 3)"
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v2.T.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a363aa6a-2818-428d-a84f-37ef6d67ea25",
+ "metadata": {},
+ "source": [
+ "#### Elementwise Multiplication\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "*\n",
+ "\\begin{bmatrix}\n",
+ "4 & 5 & 6\n",
+ "\\end{bmatrix}$\n",
+ "\\=\n",
+ "?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "id": "8c4bb10f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[ 4, 5, 6],\n",
+ " [ 8, 10, 12],\n",
+ " [12, 15, 18]])"
+ ]
+ },
+ "execution_count": 27,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1 * v2.T # how is this working?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "cbcb0232-ef69-4ffe-badb-73202378dc0f",
+ "metadata": {},
+ "source": [
+ "### Broadcast\n",
+ "\n",
+ "Two use cases:\n",
+ "1. \"stretch\" 1 => N along any dimension to make shapes compatible\n",
+ "2. add dimensions of size 1 to the beginning of a shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4a0b2bd2-adc5-4391-9dd4-7ecddbd7ab6c",
+ "metadata": {},
+ "source": [
+ "Element-wise operation between `v1 * v2.T` will automatically \"Broadcast\" v1 to 3 x 3 (stretching the second dimension) and \"Broadcast\" v2.T to 3 x 3 (stretching the first dimension)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "id": "31f26425-d5f6-42dd-a197-9c68053605c8",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(3, 1)"
+ ]
+ },
+ "execution_count": 28,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "id": "a5fa12d2-4dce-4777-ab95-3226b2da6a49",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(1, 3)"
+ ]
+ },
+ "execution_count": 29,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v2.T.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ea4c1286-f69a-4aba-a1d4-6d63315e0644",
+ "metadata": {},
+ "source": [
+ "How can we manually replicate that? \n",
+ "\n",
+ "#### `np.concatenate([a1, a2, ...], axis=0)`.\n",
+ "- `a1, a2, …`: sequence of arrays\n",
+ "- `axis`: the dimension along with we want to join the arrays\n",
+ " - default value is 0, which is for row dimension (down)\n",
+ " - value of 1 is for column dimension (across)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "aa2f94ad-ef9a-4967-8b7b-bebcba4a3e76",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[1],\n",
+ " [2],\n",
+ " [3]])"
+ ]
+ },
+ "execution_count": 30,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "id": "577feeaa-83de-4ae2-bdbd-5d353d5d7631",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(3, 1)"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "id": "5515aff7-5e41-431e-ae69-481ad4cd2a49",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[1, 1, 1],\n",
+ " [2, 2, 2],\n",
+ " [3, 3, 3]])"
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Broadcast v1 to 3 x 3 (stretching the second dimension)\n",
+ "v1_broadcast = np.concatenate([v1, v1, v1], axis=1)\n",
+ "v1_broadcast"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "id": "1d351788-0ec8-42ba-b7a9-9bc78bf57298",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[4, 5, 6]])"
+ ]
+ },
+ "execution_count": 33,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v2.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "id": "9a514f9a-3829-486f-a1f3-011e043ec559",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(1, 3)"
+ ]
+ },
+ "execution_count": 34,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v2.T.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "id": "9a4f7b5f-ae12-401b-b234-dce0c3199384",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[4, 5, 6],\n",
+ " [4, 5, 6],\n",
+ " [4, 5, 6]])"
+ ]
+ },
+ "execution_count": 35,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Broadcast v2.T to 3 x 3 (stretching the second dimension)\n",
+ "v2t_broadcast = np.concatenate([v2.T, v2.T, v2.T], axis=0)\n",
+ "v2t_broadcast"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "id": "a26251b4-f995-4752-a0c1-8ac01a928516",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[ 4, 5, 6],\n",
+ " [ 8, 10, 12],\n",
+ " [12, 15, 18]])"
+ ]
+ },
+ "execution_count": 36,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1_broadcast * v2t_broadcast # same as v1 * v2.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "id": "45b8d78b-c361-42a2-b4e1-4788709dd67b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[ 4, 5, 6],\n",
+ " [ 8, 10, 12],\n",
+ " [12, 15, 18]])"
+ ]
+ },
+ "execution_count": 37,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1 * v2.T"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a8945c52-538f-44cd-8cf7-bc10ad743db9",
+ "metadata": {},
+ "source": [
+ "#### Generate a multiplication table from 1 to 10"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "id": "9cc28e12-e250-40f4-a3b5-7cd28a5d99be",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[ 1],\n",
+ " [ 2],\n",
+ " [ 3],\n",
+ " [ 4],\n",
+ " [ 5],\n",
+ " [ 6],\n",
+ " [ 7],\n",
+ " [ 8],\n",
+ " [ 9],\n",
+ " [10]])"
+ ]
+ },
+ "execution_count": 38,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# 1. generate a range of numbers from 1 to 10\n",
+ "# 2. reshape that to a vertical numpy array\n",
+ "digits = np.arange(1, 11).reshape(-1, 1)\n",
+ "digits"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "id": "eff3cc3d-ec7c-489d-b6c2-907f9fe1fab9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n",
+ " [ 2, 4, 6, 8, 10, 12, 14, 16, 18, 20],\n",
+ " [ 3, 6, 9, 12, 15, 18, 21, 24, 27, 30],\n",
+ " [ 4, 8, 12, 16, 20, 24, 28, 32, 36, 40],\n",
+ " [ 5, 10, 15, 20, 25, 30, 35, 40, 45, 50],\n",
+ " [ 6, 12, 18, 24, 30, 36, 42, 48, 54, 60],\n",
+ " [ 7, 14, 21, 28, 35, 42, 49, 56, 63, 70],\n",
+ " [ 8, 16, 24, 32, 40, 48, 56, 64, 72, 80],\n",
+ " [ 9, 18, 27, 36, 45, 54, 63, 72, 81, 90],\n",
+ " [ 10, 20, 30, 40, 50, 60, 70, 80, 90, 100]])"
+ ]
+ },
+ "execution_count": 39,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "digits * digits.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "id": "03ca52fa-f72b-44f8-9fa2-194c3c2bbbf5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>1</th>\n",
+ " <th>2</th>\n",
+ " <th>3</th>\n",
+ " <th>4</th>\n",
+ " <th>5</th>\n",
+ " <th>6</th>\n",
+ " <th>7</th>\n",
+ " <th>8</th>\n",
+ " <th>9</th>\n",
+ " <th>10</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>1</td>\n",
+ " <td>2</td>\n",
+ " <td>3</td>\n",
+ " <td>4</td>\n",
+ " <td>5</td>\n",
+ " <td>6</td>\n",
+ " <td>7</td>\n",
+ " <td>8</td>\n",
+ " <td>9</td>\n",
+ " <td>10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>2</td>\n",
+ " <td>4</td>\n",
+ " <td>6</td>\n",
+ " <td>8</td>\n",
+ " <td>10</td>\n",
+ " <td>12</td>\n",
+ " <td>14</td>\n",
+ " <td>16</td>\n",
+ " <td>18</td>\n",
+ " <td>20</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>3</td>\n",
+ " <td>6</td>\n",
+ " <td>9</td>\n",
+ " <td>12</td>\n",
+ " <td>15</td>\n",
+ " <td>18</td>\n",
+ " <td>21</td>\n",
+ " <td>24</td>\n",
+ " <td>27</td>\n",
+ " <td>30</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>4</td>\n",
+ " <td>8</td>\n",
+ " <td>12</td>\n",
+ " <td>16</td>\n",
+ " <td>20</td>\n",
+ " <td>24</td>\n",
+ " <td>28</td>\n",
+ " <td>32</td>\n",
+ " <td>36</td>\n",
+ " <td>40</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>5</td>\n",
+ " <td>10</td>\n",
+ " <td>15</td>\n",
+ " <td>20</td>\n",
+ " <td>25</td>\n",
+ " <td>30</td>\n",
+ " <td>35</td>\n",
+ " <td>40</td>\n",
+ " <td>45</td>\n",
+ " <td>50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>6</td>\n",
+ " <td>12</td>\n",
+ " <td>18</td>\n",
+ " <td>24</td>\n",
+ " <td>30</td>\n",
+ " <td>36</td>\n",
+ " <td>42</td>\n",
+ " <td>48</td>\n",
+ " <td>54</td>\n",
+ " <td>60</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>7</td>\n",
+ " <td>14</td>\n",
+ " <td>21</td>\n",
+ " <td>28</td>\n",
+ " <td>35</td>\n",
+ " <td>42</td>\n",
+ " <td>49</td>\n",
+ " <td>56</td>\n",
+ " <td>63</td>\n",
+ " <td>70</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>8</td>\n",
+ " <td>16</td>\n",
+ " <td>24</td>\n",
+ " <td>32</td>\n",
+ " <td>40</td>\n",
+ " <td>48</td>\n",
+ " <td>56</td>\n",
+ " <td>64</td>\n",
+ " <td>72</td>\n",
+ " <td>80</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>9</td>\n",
+ " <td>18</td>\n",
+ " <td>27</td>\n",
+ " <td>36</td>\n",
+ " <td>45</td>\n",
+ " <td>54</td>\n",
+ " <td>63</td>\n",
+ " <td>72</td>\n",
+ " <td>81</td>\n",
+ " <td>90</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>10</td>\n",
+ " <td>20</td>\n",
+ " <td>30</td>\n",
+ " <td>40</td>\n",
+ " <td>50</td>\n",
+ " <td>60</td>\n",
+ " <td>70</td>\n",
+ " <td>80</td>\n",
+ " <td>90</td>\n",
+ " <td>100</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " 1 2 3 4 5 6 7 8 9 10\n",
+ "1 1 2 3 4 5 6 7 8 9 10\n",
+ "2 2 4 6 8 10 12 14 16 18 20\n",
+ "3 3 6 9 12 15 18 21 24 27 30\n",
+ "4 4 8 12 16 20 24 28 32 36 40\n",
+ "5 5 10 15 20 25 30 35 40 45 50\n",
+ "6 6 12 18 24 30 36 42 48 54 60\n",
+ "7 7 14 21 28 35 42 49 56 63 70\n",
+ "8 8 16 24 32 40 48 56 64 72 80\n",
+ "9 9 18 27 36 45 54 63 72 81 90\n",
+ "10 10 20 30 40 50 60 70 80 90 100"
+ ]
+ },
+ "execution_count": 40,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Convert the multiplication table into a DataFrame\n",
+ "pd.DataFrame(digits * digits.T, columns=digits.reshape(-1), index=digits.reshape(-1))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3a5ce257-f9f7-424c-b5c2-5191fcf5fc1f",
+ "metadata": {},
+ "source": [
+ "#### Back to bug example\n",
+ "\n",
+ "Let's do more complex broadcasting example"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "id": "55d49b37-b0b3-433a-8c19-67c47b184c13",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(1688, 2521, 3)"
+ ]
+ },
+ "execution_count": 41,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Read \"bug.jpg\" into a numpy array\n",
+ "a = plt.imread(\"bug.jpg\")\n",
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "id": "21a5e778-bee7-46ea-b979-91f0e01238ac",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.image.AxesImage at 0x7fc109503f70>"
+ ]
+ },
+ "execution_count": 42,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Display \"bug.jpg\"\n",
+ "plt.imshow(a)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4823a1f9-bac8-4508-aecf-e3375313ca09",
+ "metadata": {},
+ "source": [
+ "#### GOAL: create a fade effect (full color on the left, to black on the right)\n",
+ "\n",
+ "- To achieve this, we need to:\n",
+ " 1. multiply the left most columns with numbers close to 1's (retains the original color)\n",
+ " 2. the rightmost columns with numbers close to 0's (0 will give us black color)\n",
+ " 3. the middle columns with numbers close to 0.5's"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "id": "00ade491-769e-4545-9978-89d6abf1f12d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(1688, 2521, 3)"
+ ]
+ },
+ "execution_count": 43,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "id": "e45744a1-34c9-40f9-989f-3132001e32c4",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(2521,)\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "array([1.00000000e+00, 9.99603332e-01, 9.99206664e-01, ...,\n",
+ " 1.19000397e-03, 7.93335978e-04, 3.96667989e-04])"
+ ]
+ },
+ "execution_count": 44,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Create an array called fade with 2521 numbers\n",
+ "fade = 1 - np.arange(2521) / 2521\n",
+ "print(fade.shape)\n",
+ "fade\n",
+ "# How many dimensions does fade have? 1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "id": "401b20fc-eca0-48c7-959c-cf67dda9b417",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(1688, 2521, 3)"
+ ]
+ },
+ "execution_count": 45,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d165330d-286f-45d8-87ff-62d88366e58e",
+ "metadata": {},
+ "source": [
+ "How can we multiply `a` and `fade`? That is how do we `reshape` `fade`?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "450ad995-07b2-488d-a8d0-ed05fb081a56",
+ "metadata": {},
+ "source": [
+ "Can we reshape fade to 1688 x 2521 x 3?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "id": "1387253a-bb50-4075-9fe2-d014e785a288",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "ValueError",
+ "evalue": "cannot reshape array of size 2521 into shape (1688,2521,3)",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[46], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mfade\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreshape\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1688\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2521\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m)\u001b[49m\n",
+ "\u001b[0;31mValueError\u001b[0m: cannot reshape array of size 2521 into shape (1688,2521,3)"
+ ]
+ }
+ ],
+ "source": [
+ "fade.reshape(1688, 2521, 3)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "15d87b70-b6d7-4fdb-bfcc-9bebf2395dac",
+ "metadata": {},
+ "source": [
+ "The answer is no - because `reshape` can never add new values / delete values. Meaning after `reshape`, we need to exactly have 2521 values."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "id": "a0887891-3b61-4d36-b429-8e4be76e2f94",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[[1.00000000e+00],\n",
+ " [9.99603332e-01],\n",
+ " [9.99206664e-01],\n",
+ " ...,\n",
+ " [1.19000397e-03],\n",
+ " [7.93335978e-04],\n",
+ " [3.96667989e-04]]])"
+ ]
+ },
+ "execution_count": 47,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Keep in mind that we need to multiple each column by a number, so which dimension should\n",
+ "# be 2521?\n",
+ "fade.reshape(1, 2521, 1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "id": "f96a3ffc-492d-4b63-b83e-ffd90497ada7",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.image.AxesImage at 0x7fc1090f4280>"
+ ]
+ },
+ "execution_count": 48,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Let's multiple a by reshaped fade\n",
+ "plt.imshow(a * fade.reshape(1, 2521, 1))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "de7ff535-8c60-46fb-98c4-e6752c9f76d8",
+ "metadata": {},
+ "source": [
+ "Why doesn't this work? Remember pixels can be either represented using the values 0 to 255 or 0 to 1. `a` has the scale 0 to 255 and `fade.reshape(...)` has the scale 0 to 1."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "id": "d44c44f9-bf9d-47d4-a5e1-80eb22dcf0db",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.image.AxesImage at 0x7fc10884d490>"
+ ]
+ },
+ "execution_count": 49,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.imshow(a / 255.0 * fade.reshape(1, 2521, 1))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0cd91180-f369-4c57-8344-25420b436222",
+ "metadata": {},
+ "source": [
+ "### Broadcast\n",
+ "\n",
+ "Two use cases:\n",
+ "1. \"stretch\" 1 => N along any dimension to make shapes compatible\n",
+ "2. add dimensions of size 1 to the beginning of a shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "id": "24513ba8-9d04-42aa-acdf-fd995496b2cb",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(1688, 2521, 3)"
+ ]
+ },
+ "execution_count": 50,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "id": "e6d6ac8e-cc4e-4394-9dd8-ec420edffdfb",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.image.AxesImage at 0x7fc10883cb20>"
+ ]
+ },
+ "execution_count": 51,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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Q/IPNrbXKf3xvWNUVrmqDj629A2oW0fwXCL7ap/KLEdBoRHMrkDOR45R+ORSqLj9Db347CC3wpGf9pC9Q5EE6NwfI7s80Phzp5Hvemqf5cgRDiToOv1d5+bkBkwXIeb23CKzDdxPPXsAJlrlX4EL9PDXrDBA0tZf+XrexmroWnuDrZv6W6fB9aeORZoe268GVYL/luB1NvXiWvKDnW1/05YX+vp/6uP7sF7+t6eWXX8YLL7xw8eRzS29Yjc+rljizy/nNgcndICXCNMP0PYQYpOkxalraey4LdPh37FMaHUGa0F7MFFhSne88wRTaDjn8iRHDB8YIZhQMtATIjhmaF59hJnnC70aDz0a0Q0BRvh4zOr1bbmwCEEnAO3Z38PAXAIeNkYLOaaeYgYWCAk6NC51rxyaB4HgSnrkJIQyTdHV68hBYpSlsp2yZgG3hKE6AEA6yewqSAC1z8REC2wJJWQf2UeYyQrpk9IP1R1kySDT/r7ayQ59GQAX65Hho+JRNmg3t8JG/UxDn6b0ZghBNCDtq3rhRc+gBLhHgaIxwgI65NUi2EoKaKxMx7qO1I/zNxVoswGA8gW0yG3GHSSDmpL8wQsjXPvutaI/mcAoQpK7LzqzqD83UbNoCIKGvR4NTs2JZaoA6S8iRoCIZfyLQ0rBIbDoFIBuTck+fSrNadaahl2ulC7fu1tKomf1Q6QUey3QebS3QA9K+lyREVUK56J2avi4aund9G4v1bKShnPirLQko4Qe6XUGA4m/R+eNAF5FOW+grSdZ+v9YW2UEIW+vmWbpqXAs82GUvRFtrT475rH2oMnPBNuDylP5lsiWTiY/o1/UxjobLqzKWDsGXx0caHd58Ssl+fvbU/l1neDh9Xr/03AMfDd4EwiRBRjsd2OdnASBAxKSQHoEeJKTdJ2YcGq8F6I7ZfT3IQOYM0GK5WMm8XA64gPtOcUs27JM7f0ttTTCZGUBkeoGZJhF2m3FazQO0TYmYzWEjBFoIdIONcLQdm8GfzABLUgfL/DNA4RTOz9sW/VR/ZLab5OGDAmgiwNEmBm0G0DQjJpvCaALhIu06QUxN22ygJDQ/A2H6mBIUpLvD6VTs6VQuk4aOAu8+s32O8AuKRnTXz2pZmnJyjDW4jRUtfh6rA+YUcMx2xBwr0SbpunDepI4jzIDgHIpy4vi655woaWzwGC+nszY865XTsQ8C94Zk0mctAWPMjWqzQPJMn5/BMdUolKDxOtaOcslVvwfpImaf0qS9D/az4aslv+YQYkkWOGq074LM1kfRL2vaKj5NjZ5mpsatiwHSQ7t2Zz5TmQcB25O3v5ovhYHaHEj6zQRE9U6Zd411CxB0UNBrPIjZKDdzczZ6b9UZOPSTc0H+uVqtEhUfwALal9MSW0VyWwIrzep/WD9pTvTvBKNN6FfVrVdLB1c6dfCx0EBrwTutD+8vzeEatOPvF+lgXjuhk9bsXufN4k451jnx8PQ0mPRs2d7o6bkHPoB488T0Yiy7z1Q5u89yRp3FyJ9IW8S5NJw2UjEggRsvBu7SCjlPe8V2PHe88XowpdBshHA3F+stH5b5ZObx8eGAjTgMo0W+84hqCN0APJiTqmxLJuXu2LDB3XFH0Dfl2zzYjjkxZF6CwxnbZriHX9IIzYFUyaAANYG/ucPGlmCj4vk4tVMh+MzDwCiuU2p9riYHZOYSMATq+GH62pjApKWgNZqVhhVgEHiYeUy2tAsBlCS062iUcVyGhE6KIifQiMJnArFom1GLFpI63h08Fq2YOBCwcQFai/g7YijjLjRfGedGswLUtMmcaWniS+diIVE5md6VVkq2oxRW0sYJ4aRzsiX9UlC5/leg5Ojgm5sKWJxCo19c5st5SqGrtWIaDToTS5B1qc9C6khAE96GxJSaPxLQNcZYzHIZ+0qvdKF4kMqZS8O6OO8azdQdOHFTk+ZoQ5WOXC/qyTFPYtJVPK9lNDgjbhL08fZ9gTvLuAusruks4K/MIgf4kbX4IaNIegua+THvkvnoi9ImhUxsF+hp9av2IiNT867BkYpr1gvt1aH9K2C6NiudERWejoyOj1uf1R9z3KzxupBnTyv1z5D66TU8FLo9PM+rmZ574JNAxVDHROAhkMSxzTB3qoSZZZ87MIs5xmDP8inAuriDlwg0qG6aUXYy30Tzk3UGO5KfRbIHaZS2EcJ38myQhzts+sjk4vM4ajx3ChuDMyqet128bRFBx7aRAE/HpNNloZlb3AxzxjFzTGp9RsVccQSI2XKb8iSAAbURKRIcSLYssGZcUCPqMPeMy+Nzpj+RsU51dxAMOU9lyQQ5jaawFPTlhyLm1AWEhIAEgshfpoUW6JGgxdoYTgrUIfpzR57xWjQ8BG7SWKTg6wFv2JZguDuFZjiWh2YFtVGfQTOd/COGjiKH5rTMbKWVSMd0rIxMjsbdpDetaNJlcAcU0lnCwuyWmS3mqRPQBJC2ZrIqXyrPBScQobXWgED/xG3+4jzsSHDjlApdG9OBTM6D1Jw1YYk+dlZrGA7IGT/nUOrY4Pm5AmaGmataX6n9pjUMAf9TQ8/CQMNm5belNp4FRwn4+j9QJqkVkii21WLOIclnKzx9e6q4BPK9iY6GsXo1+THGMn2ScuF1rWKj2YWj9BFD+IFoWUYfyyN9ju26IdX91P6LdDVgJ/B4qOCysH7I49kgwcNAyVXVF28t4O7enA9Pn9PLr1567oHPMDInOo7uHj49EacFMbA+AUyau+RLEpM2jjtTu+OKChzvYfZF6MnMnN/7RHeaJfLcFk1bwVi9CdXaRQ3G4XGj/8VGI5kFuDBKw9D0IB17o1aaifZJ5+7Q3ERsnQls9O8g44IBuxu2jUJkzNSWuAP0FlbTMVt74cAmbZF5iFFXL7SrTYhRp+UwW2yA0jblgWDyuzpuTd8paiuQAk9muGIW0sIo7pILJzB/mNQG5OAIPOExZ0vtgE4ZSUuR9JBpwrsAjr6H2bTAsMOx2cAuXDCKZlYIcokXpNMdEUxOGgSGJhiMIE0ZnYIcpU2cXTJRuksTt2hgKJ1qZDjXUoCUgB/Z1mqnlEtlOot3EuA7YMa5YIYIIVFNK0EjLdMBLFjPJGCyJjngl8mtwMoqdDzLNNEWAlmcQS6a1lvSC3QTYYzNKDrqd0POlQ5wEnxk8zVvLAFxaHqPBrTGUIpia/8vfhXfESAfXqdFu3m1AyYn6Kj6aoOiuXysw7zogUa7+wVqjhB6EMI+zgsQutHvtbTDt9q9XEyn9oavBdTcSdZySAfockQED0EInO+pbbos475CH5JWoLg+svNg3kr3zLtXnF5Jd16D9NwDH/AIdzJ9MrB9L7W7z0k/k407nNAohKMgzQuMKhzmCjrLUhiJoZsp+F5zwKyGQMIp5n5JR5kLNB8lY3aBII/rKcLiRDZJ9BXOxnRYHeFEOkacaorIuwY8AWzEiagnoB+IWwVzGVGp7zt2CjkjU961y94dGIPH3EMgxxFtkDnS6GSjObLONI2Az9M0YkiAQZgBA32FUKEEnCBV6l1G3Mk4126OfQJyJg0gMCDtnOCazIoRaLFCCmwL0w5zi8CSwQh2JR4DFBuMGjPmE5NMfrtjG4MaQznSejtCnZ3mEzFCqzAHakE7d655oUjiqRkZyOtW3Ao4TpGah8JMPxrBIcjoxwjTL5tlPgpoWY2OAaxXgq8BClgGrEzV/Gj+R4IZZMhN5AWQTXBRv1kzIUe7oowurwTSKnqOUBcd13O9iewNmHRB7YID9SxmcGXXs9LP2FonCioK5XD5XCSjjLakV4clMou3SVL1eQMbqt2b7qnJdZlzA5i3BrV1mRogxQ1b6IhTXQf4UJ96nuR/AiMtm4q+VwiWj1ORzI9VHWSzHnrVs5R4+HyoP/vtx/4J2x6MYxdt7+9dYoyTXOiPLgjyEKBwypMM9uLdV7nuhzfqQe34fKXnHvhEwLuZ5oEKDW/UeEi9u4V5xuVjc2DYjCrsPCxlYq5ezDNCwK9MKYW/QJGYcVsUFaekhKwKcGlS6N/hvmPbwqQR93sxWusEY+6gtCFSGzPoXVxfAbgPYEcKMtCkZeawPQDJdGewRMD3CiToI+40g03MuaX5S0xm99pbip3vXnXp5JbxfimnsA6hJt+eMkVpV7gjojin0DfAPaJbZ33e6Itm7vCJ0N6N8hNxxRTSxQehIQhtUDiKK5YxdAEG6xwI04fnWMb9WIBOgcWVGVvj+eU0CjoFYxFCDpQ5jP2nUiHBS+gLTcF0mhAgKprdX4ZzuQnxmKuEdaNpWDRJND9FI12rkqrRkXSLKsvJt8yLQi4NnJjGwxOIpEwy+nEJOWr0U5tpuT4KHnjRJUe/5oF+m6dnrHmJpieHZT0W2Fp1LxKIaH0u05x+B1y+TdIAH7RhS4sW0NMo30yUOeaFedhMz+/eik6aX8kwaUinZ9n1rgPp31g8rUGXpYIyba2a7XOtKuMEJfjnSjjbYYSPiOmY/1jq0Xunp/uBy01goLl9s1Y/fbws6dgFPz16SkvOuXP+LoN0LuC+8u6j2FPTM9Cx1/h6gp/nHvhAQtBjSTsAeICQ8hcRswhhtYNC1RWdtmkuqM3RXVDBR6OAnXUh5VkJO7B+M1rTJ8rsYBKgZVoK/xcyGIeO+8Bd/kjOE1ExgcYA4CPbFKfRazG6e2gGdot7sEYAGt8MY3Lvv6nN1HxQixSMnfFm3MOKMGZct2EWgEKxaoZYp64KjfZNMriUr9ARcoG+kYEGJVp8IgP3mRGoIDQ1eb8rpEXyOnZOk1OdvANcGgzwwtMJzHbvVMS1idIiYrbnpliiQIESE8Dmwt1RXqkTusAUoPOr5p7Mrh5gb2NPdwEhtabkvgYvQK5AEgGhgETy4wGaSxRUMuaHYikFmJIQjWjTCvwIBx3GS0h2B+bU1KGbpYCFXVoTiGy7Ip8nm2uyPwCRJ9ioxxOKPl2j3HVLXTAizYeaSZIs5zo9AUstyw4ghFRpGh2iBUVwtjMbn8JQre+6oBL2PVL0Qi4ksVpDLeNMVZnqv7Fj4WRduklAuMWhndcCYAT2cqOAepqNK1+dTsD8RZqU1v7V42dNS273w3uVyf1Imdam5Y3iZ7csOfH24cmFjO3Y15+Wmb83yhyy3iPA2w5Xcwk5oscab7SkAWQ/5brsxHVT0GfFA9JV3/z04dkwzEPzvcbpuQc+ubOfwcn2DPfPiM7JLFHHF2exmdlCgKYOwxU6hz4gbVHrNuMBQ9dAaHs495lrvJsSxOjEJh0O38ngCK4EpjAIcHgyS3FZYDMjSmMAY5JD7Kg4MPw8nWYyAyb22FnPCB44h2eE46gvLhSPphJNOHTWmVqfog2G4wmruwM1bg46Ms9k9PTYoR8Waa6tCwsLk6PojxSuu7R3o9HXi7lMntqb3k9aEXy4lxBLRqQ5wHG2fgEqOM6WY6e5pTVv+X85z4ZhDjBE0G6ZzgBdgGkUVFmk14ktcfaF2RH8mHcgMpM5OmeoygvaVh06raXb3QOMSUifgYIuiRXwCf8HL/NnAoJ4pV9D0WRUzqMF30moCiBB4Fbfg54FmqzMYI0u+lTy3LWclnYoa+SmcTHXXxFhEUbeyoFnXCPPBihGkpUgNY21mmNZPLvU/ICQ81k+Y9oseM4hghYCyN6lLgq7UK75Vy+4/HGwpgVAcJ7M07NO6T4ne5lVsvLIPHSUdl341twVGFkFqtbYTenqx7IP/TtnuZmuargqXaOX2rb+5qmAlS6n2g6V3g/obrfz4eDjVqbbBVz/ek+f70sPAYufh/T8Ax9zmMd1DD2+C8hsJk0XEfW37wSajT0lD9LhNFYlgwi6L0IAKDAi040sQA6kH5C1+nTBRe6MWM6yO3XPf5sA1xz0uSnBM3jhUGAci/g9cw9t0UDcVwayrDlyHhorlGUjtDcEcfTbkYBjwGIYJuSvGwzbMSjkYIa8yNQs/EtaH80CXM1ZodSczFK75V3q+WYWimu0xCxlAgQ2ook04fT4KApfAO3Zuau3aLciIAs81LB7XJTqbexIE11OGmM8UpAbgxY6DLozbBlrgTfVQr8t5zyFKyK2cZ6qXGsbegafFABxUHNYbtIm8Mh27gIjBME6rp/DQ2BoSWsk4EmR2YU6xyo0T04BLyKUWTIeSHCrjprjKrdODNXGYQU4GpVuhtJcUuR11HuJlOq9yYE0zAQ60ggDliZA/Q6nthJjabMncs2FAGGoUmB4gdgmvnH8ZNWrCPbYCdPyCww7Gq1Up2dZCZjQQJP1IJ3gim7wo5XROM7JpLZC68YYlf9CoCc/O8i6Dki0NlKbtyKy87vHz4f6Fgpm36zKah/Xd6rtvZdZUK2E9st1uyKDHTp6zrR8fQiAyalwX+Zbvz8YIV1nPfz2wJIuXniGdrwG6fkHPmRc/Y4s3aqMJzSJtAX/ZNbqGZ2ZRmEw6CqFGrQnleNQdwMEym8lqM2NoMVTgAFIDYWxxek34bM52jp2N4wxgV3OoUh/my4aIrqvJQOYBF1jQ9z+zl3pNuq+rjmBOwvGmX40DAvrFkI7tBcMnShBP9TvnQEWZzjZ+uBVEQ7YTE3ZZJurv9HVXUfI0fiGrzoNOR+n+p/jHbJXOes+LGASKNV4hGmoRI2nNgzl+AxvQCtHl40lsNLHhZNSAzSMZtBCGmYDmBXbCRip/YgThyqzmWdJDIGi3XVSrbRLtqFdlyG/E+eValNKOpQER8bgSR+cTvSWbRXqqFOFqIGSh1JqRRqo6OVFYfRFYn9NHB3SnAF1cq7E7lGw9qVXxcd44/A22GLnYAUto9Npnm54SRA8NbyaTdkdtilPidXYa37W1RUHAasWZ7dro5Rj1/JP778WCfKVgjsLLVpN+YsfWpHa6YJCS1nZae+iv9WQzfJas4tsK+CmR0dMsKQ2/VYPr7VJx/xZLT9USw99O5XRJravj6/ouL5+6mx7dI1yzrq3KNkbLZ8JFlwXd/79BsE/JwhyBLlPSX2GvV7puQc+4XA8xd9DoMwGK1pAOQApiIwzzxh3RirXiKnjtUbclskskBOO1LwYIZlFaABCE4HWjqhLMYJi4TbtFJofEmK3PEbs2XyOEPI7j/vSXLWBy4hc2+puiowB4/Qzkpw0Cuk5A2ztcLRog9HG1OaMNJcBzmPQQRuFl3E8qZ24zTztFYJdYCIa4HToETvOQHfwEkzayU8JpAY4DleBh2+J51gpvIDW6EgAWjvhbViy17x2xDwDX6qcPFbtEgRK9UnaF3H4uJqCYIFgK9sLR/oqQc9phuTA5+mfrNpzXrqEJufekB+VCwyvojBrNM1a0sTjRJ/AenL8fgHYjHeNYN0dqVmUA3eCllw4BQ4l0ns8LC6kEsLZ2shQnlgcncVmVknkbCIMDk5ys+q3gIkkb4ItNJrU1sFwTgUdDBmzR2atBu6q5LUk69+9WtufZhcpqUethvy5cIWVr1arOecn+UiNNzM38JHluoba6uXU2CHXQn1AFnJbnB2ggvU5tK7NJa/wUtMIrgBkle6nsToADeuZvJfVvW5utf7W81tI5cYkXQl46FOTRffUe/rlOIWO1V38sD57IBB5ffHKq5aef+CDYtCeUgJl7kpm4XnaAaiTUZ6q/AA5G51SNTl1V5KYRTo0a0G7hGBxmBQM+VOp/gW6jDv8fG6WJ1zAeuLJTGY+dVeWhdnCGBHYuaO3PRbWGAHgIhgimexgILonsfy3wUB/Zjz5nhIu+rnvcONFqA7s5rDNQ0jq7DQFQdwCosB4XjsxmtJ89xDOvONAl7bOxhCnT2y8wgPWvBuk8mf4gbyJHRDHTNCod3QqL79zMOJUn2L0ZFxARFMJ8CBtH4EIUM6+abKK70PmBQ8QbKwr5oktnEetEajSibdo50iT0TDNY2TLHDzURfqVdlHQUJpKVEgHSAgICDg8NXQeJ9eA2DRkv7SmtLLQ4kmpLQ1IsXzkemncedTaSwUV12Ghuyin/HcKHmaWzsSbEO8OwktsHRcOKngQVVGzyrXbC+YQLqbSBJo5n2o8c2hzLhaQ0afUHXWy5HTgjxyr+Fbln4QZKh84P4vTVIleJdf73p9EGq37AihIYNBq1lw8/p7POsCrOdvnUpuqaxG5wPnzhabCmS/jCR1fPqudWr9P1ZzyntP186e99bTk7f9o49xrWPPcnxLC+cPbdal9E4EPY34q9HPp/OuUnnvgs3v4vLjHRZAJ+Rm3RJdXGjUQ+5x5GeVkfnPdmxQ+J3WEXap9fnM0QSvNh8MnF6aHzTysDryfKgUfsj2TqGDZKbqu04iy8jYpi8B6kiA+iuG7AdNmBBfUjY87BTO5rgnITAq+fVLrsyP3QTZh2xYMfXpcdMrodQ4H7uK6D3MP7RNPF/lk+Vu/lT0cQqexo2bYzBJ0+qBpLePPCWQYQU0IZ+24TUDEQ7yXM+ykdmoUKM3xrh3eTudpAS2Dvg8oEGI0g67OZhjTcpOuZ6o7BalzdkiDuMyZAZmFGmdHmU1K0JqOR7Pk/cTePQVyO5GOCCKpEpsQd0AX3KqdxWuLUBMTtiqlFtxi2fSu3Ylx6mI+Zgihi/yRSKu+HKtb2cgcL1EHkChf/Yy0S9bykM9ZJbZF7Y6OE1yKtly3AjSmeVLy09mOFbA4chFhrXMxKQLNd8ry59GoRRLVvF/mUM6sXsP6rkS45XRt1PPlTQM1OtpE+GEYQHA4lbvzurUpBaCvwU//nsRcQNOh4vNX8uHrdh7NQ9ZafKnFOXeh/fB08ONVUa6B6l/PudZ/q2S19Xa956dHqLd2hpPrPk9pHGl4q2GvBNW88ZHQcw98pgeHNTNsAwFsMl4McuJ2Z0HF6snPQ0DJMREXl6b2xRFCjExqUkskyWAAdB0FLVHJKBYBQvPHTnY/3XHXwX9bYDW/pd6edezcR/gxERnZCL+lsSFvXN+nYQzDRhA3qb1RG80tD6LnBao8jZaMmTfGwwB/sodJCwF6DAG4hhk2F6gJE4y0DtN0qmwuzpxxQ/iImETLIJhkAQ9rl2RKPwxHntoa6ZTppPMo0xPqqLQ0NPGFDso81SdHX/mtAJbH6KMtpFeaXmonW0faS1gHfSt68VD5FJDqx862pzeX9ROA9axRDYwrWTyP/UpQJKEoQWv1nOrMFPSAxZzNm2TpP8Sxg3mZadUkPwAEL4ApqVXmhgEdx15YJBlt6qmsTI5mSD+2LgW46pJ6DuFpjUnX6nRtVDdtWc5prTW1R6ELBIyRY9VoiaaxbTRM+ggAdXCk/MvPVZe3V7R+jsmqmDwl6EQb1gtBQrvsz0xKHMv1pFPSuAMUifMzolmAcW9fzZELGML5V7+vA9wDXralB/3oWH7E+esVoLgPEN0GH/V2Az+qY9lAnPt3LLm34L629l/sAfkf8vxVT1fV+PLnDZeee+CjrfmkhkdR2bQTnzxqLedFEEjAJNTQBFWYj2BxLF3miNxxTDEuLd5gNbqCAKy/H75NocGYxNG2aMfuwczi5vQoOWMPtVU2ycGHOxjSmd0kuPKJ+dkAcHN4RmAezoCDG1Jq2Yi+2UbNhsddXTvpNEaBxpBdcQeYLmOVRgwA3OMGed8BHxNzFmWGRz/NAKeGaWPE6Iio7Blw0ogYnWPkMpHNEojhcxTGqRiK0moMBHAz6vB3nwwu6AVQLOjUpkxKJW+7wBiubn6SJm9kQES4J8BN7R9VHCGPu4aAl7+SporynOKPUSlTe5jAhmEEDOt4cD7FpbUB8uXZIdMSBM6T/TqkChFASvC+AC6r/o4CdgmtuB4Wji4iKOV7nsA9+tHBg4Ci8G6BpkQXKIAhW6b8nuQQbonUuM6FQkb2kgJrsBi2CRpXPVZ5yqP12Ob66O3pQAQo06z6tNIyI1U2CJRTUPTvcvYAQlTOKmROVFu1JTkXrMHPbszqYD02LzXeq6xbxLpfDHu3Z2UbfOkF4Mv/lU+nBq8l6AVQUOWX+doCOaUzdW/XdZHjZKu7kZ6aZS3HD789rZXiHZ6fb+c8gqqH5LvM84Buv9HSFwHwgXxQm5pbQCOYu8u5Ftw1Ox1au1Dh73XLs2wxMn155ecOzxELcXAXq3NltfjFapB1SBDUhC9foY0Fio9MqU8EQIxMRJdYpuQNvx79lr4/CCGRx4N8lnnEra7CuKMzNYW3Tj5FC2X2milMZS4LE9ZM3wv57ES0ZIMJpBGwTIagNkaOC8YXoSYdyGtDQiCxfndgWEWMTpUakoLJ8Tn2m5ySKeSGhabtaMZwzocWczEHSnc9idEocrMRLUuobowWPRE01FyJMWt+IlCdjYsQUFn7SfNBwME5Bsuu2arfrhhK9NVS1fJLWgWvHL2trviQqc763FNgRNGi2qDK+/H2uAFDviKlLTDIv6cZdbvgcsR9cznPVwGdmdLfxqvuJp5zXXAI05nWkKe7prRfKtsRY0zfrDRnNsdqmRk1xbrbljW6nIWx0OtqFlw/AfILVBR5HPrVyxMoK9B+EPCtLQlplLfdy3H0Jun06tUeLUIF1ev9qOMMWqR/OupduhHz0LvLci4F+zL+pwfHAk5ZOm9eOtIyrG1eW3t69hBT0bETfvvRrSc5nn7sd09+89t9zfSbX26lB4LA1zE9/8AnpVj46aQZiAtPF2SHAPd09hVgmW0xCMxIMxQXXRaXnlaBATsjSrnbdvV5V6V4IL+PNmnCrDLzVJEY6ZBZaVrdpA0p/aNh6SRLD10JmCETkiE0J9MZiHAEIHKkD49TIxOAxMJ/iM1LgYsyB6AJNJuOfVCQDgP2ELw7nHeKRSHhlBumLKMGRzGVapQkREEzVO3oJwDbCYjYjvTNoYlmd2pokk2xA9RSdUAWfjURm2hS0Ot0S534C02ZEyAoDQSxYg4FWNN9a0EGhU6IziwAt6nKy4nWYXGsDgLMcfxf5YSjvU7hIecIMKeVmUCyclbZkNOyWTlgc45Uiwlq2coIzhn3qRnHLUIRTMi2Gn5rTlNolFs4TSCKwDrjLIkWca1IF7Tm1eY07plWnHNtinaW5ihrZZSZMBcL329gSHMjUEtqjRJQ5veicYrBNCmqeRxVs6pOLws4XQEhfZIAa/1MQJWjUULY+i9HFIDoD7wBmPzNSYUOV84peZ93SlmrUJqvKmXki5YEWMBEzrFe1iq0NX7HrFemo+WdAz3P4KQXtr58BaSq5PIeOpf/9NTz9ndOmO7S0/gVpGO5h/mwtP1zqfOKCG9w7PNFAHwQQpUMkafToePOunFbkX51uaEWmLlEphg4j2GbhGvcPm0uMBPhlPNOKq/Fojscl7XcTyQ4P/Wjo4GGYLwCYuoMunxkXLM7JJI1cwsogKIc1E7bgH1MDB+Maudw27GBl46SQfuwEGyT1zg4sNPJRQBxbMi2TsX4yR1+gI/hFpePDmAzw9zjigeTAHHUDlKgTA3ldlkiKsYhJG/5f8RN9jsMbpagYMhWSTr2jWBqK1wi1Sn8CSO9tGISL3CaOIzjIdnBtmXUGJew0nE6r7ENSlFzWGOfl4hqLkJAIQST7gAzzg+dQlLQyjRLoXx9JMRTEKHmgPzOXO+zDxLpJdw0zzUO2coy9SmrgIi1uvJ29i6/BOwKOodJrqJQmxCGNCdWn5eUSEEgqQSm5pRunM9uZh8pzKyZFvlc2i6NEJd+At3wqbJGuj65VjEL1FzXb6F9acQ6pei/lkRqlxbh1BzXPVvZ+ii/wmZYIuBRf0RQz/+A5u3YyivGlWV14Wn1vfdcZa+SnpWLL+frfQCPpRyTnZ6LdVWjvLp8A2hyBtxbm2cHL571Cr3/aithcCRB03edQMKxFRetshUwXVKpY9OnF3ejjHXOXeIjX/5gpcUbMz33wMcd6R+CyTuyJOS4OPbcQdCUZRGU0AQ3CC5ci4mmEplqcvp77IbjpBCgCLxPvAS8AXWiCZpIdTnpzhL7MgvmsKN2tp5qcJT8pE8MhbwV0wwBR3bmBsUemj7hA3GTu4U25gmAzehTsrPMCAoEI8iZk/cY8T6zvP9JwoYC+w6KjEzzxqTKOnVEAz5HaG4sog9tHDQBGDNqGJwMXLF+2Hfd6n1nQW/4QN0MH301CXkOX3SmSSJKSPlLJHA6MDsxqumODWUCc1DzQqDsbJdhIq/GMgmvKGtSpWXwDP4I1+6bmg+C54kCuTGmNBWyL9NqfOXgqruZhB1N+SAiFCCMvlYvl/4Oua6VLtJhPKkoc6WhO/TnvEsBJyGrp6OTvZUa4EcbhE4vCcVuJluEipeYLizRtRNdvDXhneQQlLRc4vpd5bqAJsctzC8Dim5c1NP6d90Zwme2zKg2CgDWuYZ8A41+qsdynlRqFPG1b2nAylNa+h2HUq6EdGlc892WPU3eBy1MxWLX/K+xc7bpWGd5R8aaLcBxGKtzc9dnvma8/6CWH7PfDyYuK0YNoasnqve6lNP8e1q67MN1x55a3L30OBa2Zrwi9+dWweuTnnvgo6W9wdMkICYSpq+mlnWif08eDmDA5i52DgC1Ayb4EbPN3blr4yINSrwXAqyxKDJMiZSMDqx7sTjp8qLO+ikZS/gORZ/GXC+zDG0NzW2KkSPGLolm1D48Qfh4msE/i3CO5j+bPKWF0AI5mdI2LCJdBxJJ1T7YDgG93SfG2HgDPCNigwDKotcCivK5cAqiMUqgRZaohyfzaRpDmcbkKCwwoLEiDUcTSrs7xhh1/NkQEb4tWpTXXHjtrgzl7DtQQFWaRHqCsExqK5wmIEMJ9ToileXGmUFeheFIrVpam4wwSMCb/ehOuSV+nBopiVav04UZo0dzBGlGjbg90AxFwqKZLtLk7QaFFSgx5ung3H1bUnC6Qddu6P2CfwCsoEE3HCHnfdto8HRc+l+pj41WaiYyTwjUSU3UAjfkBG29gNKASAiXBUrU6SK+x3tS6+uZtbfOvfTMk781sNDLcAW/dMBbW3tPr6S51tFxpqzp4Ocj+kmdufyoP9WK7F9TDej/a9+Lp53b4fBzw5Y2Fl1szb/I3NVjaRnvqkrI7NQSTYWFUveBj6s2X2KA+5yOb3T8Jj3sKeXdTiuIufX251ryGzM998DHPe6O6v4DuryyTsFwaksWOWiiKv+AfvwdLapymlAArMBIfhdU53KB7a6TSpE//Q8oFbtZQGnS92g4tUKmUyXAlg7Jndf1481lLgHAY+nB3AwU2M4TawhJMtnvOFkVwt0Y4NA8wM8cjn0iQwSkRmLQ78XqyLpQR7pZeJyOc/e4O2wQJLmHeoftDn9rxxylEtc63GnXGM6j6br+QZkS7HjWGW1o5h350nhSj+DA4M6TagaaGkNDOPkZE4xEPZLt8Lwg0iwKzTPNAWmDQNOogHho8IZAQo6nQ9GqYRV3SifbpgCmGeYkUOSgGgHwMU5UnmaUhggSXJbAw7VuUPPQFItAPUxtI0OAjzrJlgcA4ir7XG9pEyVYzdNXrE9l5z13nekmGBNYNIJbgkDS2IEG3Aq6pZZJAIY1Lwx/ledIvQrHsKQgYUuOV9Xllme3WJ8fQGmBMUFE5V7ypCDuovo+yaoZUz+H9lHt89yIHCDSQbT5+s1Rc8iPrWkatfbdkk6HFnfk0/8uaV3nfdnXc2u/yNTKNb8gptZDw+EZnxhyvZ3ae2h2VnNuZtXf6/a11dcl3ibBkp8bpT5jb2myVuj90HQfGL5KbXU+AzZ6o0CiLwLgE5tVA3A3DDtCSNgYPInDe5TIbGGAW2gytmXxdn+aYGg6uQGgtDW5ywnBrQjMElryyZi5u+ckbfbu2GGWwyqYx9tCSrOCt3ArWNmCu44KA0bzlIRxABNLHwDxBpUSYAy8+4mlmpXfBPul6y8sVRm8pgOSew7YyEtNdSxWDuC7OxSi2lieNBwCl8Z/QV+k+UXtnT4Jnpz8ZmV4crINcRkd2CnMJq8WCU1YgdUBnXwKZLhTuOXOVw2aAaZ6dHCTsyvnR8WIcoYk0omoo2Awal+aWcuQfmjIOSofpKCbPqfQsXLgB7xkQtZTEqxOAgVwGSZNjdrv+UqannQJKzVZ5WzQhBFBgfGEYTr0qz1NgKzH2AE5hsfPXaAUUEr2brHSUvjgKFJKKDeYlWw7NX0ms9o6h1OnpDVy6ZNTgLuNwgkkrIkTeaFaEz4JDpzApX47yVjj//zsBO3eAUm1RYcd4GvbLPvdYUPzkVrqjTUTnzvYaRnFOqpnmpWwI03SF27t2hE0nM2U58zLOwmq12x+fOmyPhH8Ck7071ci/aInF+v+VOcVkLhCOTdRRON/l5k0Ag+o93Yl9eR2ljdseu6BD4A83r3PHYZwtszrJFIixOkfeHffBLVFOhXFB+6MloyFy8Qpr/jRWZ5p59wEg47Ow0M1vnuZyPS2k+kZeJoGvEG8Caxsp4vZhh/HICrQ4g7NPoGbKWoHGY8ELcDggbYuzp2AiSYzswA5xqjMknvzyYTrhI/8ZwwwxtfpO7fNdDx9ph0v77/ilRQyHZk5fC9BDQD7E4cupJLAckrR8sGItkj7YB74aoencJf2T/Q258krNjTAqRPsjDQ90VZKwR/ltBPB6BxkNEwQLhYx3gOOzbbWjvC52hhcc0oDl5pHhluCAFYDBgINvKctrhkxArAa78QQmi/W5kHOzjA3CuAJMDgE1jz7oyPvxrhErnmZ0bVpVKOJbTZAGPSN2vt9TUA5YncBJUySIIPaOwG9FHgNFKSIbCZDgToIlFINKc1MAQqCBR1OGG16kg4zbn5lsMwVEHUhm4A7gVUspPxaw1Op0WOFc6vUNA2noESeitD6KXq4/qfvqenMH1KU17gXrFsDGa6pA5uclxL0B5p4NoT1iOUIQ5m164O8/b8Vd0R4tuZY4NENQHQNZXD4LgIe+L2eXRXM0pf4bYd8tyDJM6WbhbzC0p+prKfU8ap08LVLzz3wkbkg1hrNPm09Jh7p83LuGHmzI/0eKJxn8llqYHRKIplyYxjaUYnXQXGCLI/vGgybN5CSKyPYTQpqaIMWmeUrFO9YLtDOXILpUmARuEhCuzkDFdfyj2zS9vBIOUGCGTC26IwxWtvOY98OAobd4RjYNqTJbg5eECsHFwecTuHGhpqB13Egr10IcDJraGbUEYJGApeaBDJKsxVI5n1NHBv5+8QplwgLIEPVEzgqCKIhVXmjGUxcgM+yjdHN4961CyfL/t0xevQwmV1cQ815YlI2QOaCvDMOxiCbM4Qb55acvmHysRrUhhE0s57Rm7fgtybUsj9l3qULEBwN7HdparbM/fQvs+jP1PxrpJEsYZVhyk39SpxelBmsfJSQILWET4G5bj6S2F1BKCGIgG6CWBaTNoxqrDYf8n/qxJN2qFd7VgYdQIBA4UIMvSfeAay7+97+BhQOQiWFcAMVBYoqCbR1ULlCi2OtnnwpzUJiLqIX/cKChJYAaqXYOmzw4nWtycy4whM7tFDm4d6ntQzvHy96p/xe7x76nXnY5yVXgpcVNl3WcSMt751AwgVq6MO7duKeCu8xeD0QmNzO8pSX38CgB/giAD4hDGIxDou7uHK2O+qOqFSH0jFTQAGx0AakvRkZ6XTXjpN8YBxWjS9fct9cZgqAR7LVWJCxzBQcwdv1nkwMvAdMQMwA+J5AR0IiqpYGphhrnlZK84+YqWHuWvAEQEb3owhsE2UPJPOdT8LPZY62V5yObZQWAFhpGbgiGi4gGB11Kowc4BUZdWXAiLvWCESkiQMkONV3z7GYDMI0dE2EdqydE7vMgSPbKRNdyD3u1qkuMAZ6jLHTjAnzlo5A60J7d4RZbgbY2b0JZQfyeg0AwIDbwBMPzV/fZHaNSFk7KY5cnwTWZs5Jx0D6Cxman9RIoJPtFyBArImN865Ny6StTttF3bo3beS6cq2vIhu1Y47U/pASFl1vQtQZ3Tn6potytZ5Mc4mbjhJOzZwjwEuwGJoQpJZU0bHbjCxTYAMvK5BRXTLaHQGVJx3a0C3yZSy2ovpc1fQKGzBb8jYQ5b0EX968FnmaWD2VeQ6mOS2wA1G86iVh1phAqvHcc+utae29bF+bN4YyQ2a1et+V90ro3wACB0FvakcC/rPpZwWOrc29TYd3lpSL9VDxEdMcAc0rTQ8EM8WVH1CkXUyZh1R36+GD2/japuce+Ph0TAs/DQmmScfamNie5o0QYHnOC7kzSuYTMXj7bqgzbF1G4TrOjlo8nYkGYOEJJmPgZBYawoHC3VReiAq1VyfTUoXt4bOkyLgCOfyIOoEGyDfHsLLvtNUYYDswtuiTWdzrBZ/w3TLyoqxUBsDpB2RpnmE9oo06x87MAQa+8zrWbTM1WkZ7Xpz8MprGCDInMMYIkw7iWPkuIevO28JBPxmwdzx54+sR9DRPQfnAcAYULM1xWShOAm5haoNmMbPSqHVmpvABLCl9XbovkFrkCY04tRivyFqZ7a9h5Cm79AHBeuqtNJweoEctY4Fdtjqba1gFQY93JBDUZnTRupWj+VRsVv0scRtBERm3KPulN9ShVTjlcFxs13NNGHK9H4UuBzqFn2J4hYlQAtcydwCwmOyjzweIDgH+e+N6H1PI8u8yvpkTS7k45KghsvNTwyI8veX2XoAjxzANoOQjqYFbau0lcc7qFzsOdLVKfOYsXg8tXJyKm7Z64V31hi2kb6bApQ1d+9oe3BS2lnw+v58y++XXVct2lc4PShPfqHGq8tD5VtSS9QEgwi7Lvy/zRYNvpIcU+UZNzz3wGdKaWC3liLBs2MCIvzN8QcI/p0XXhZxzKbi6gDUszEoMWzuksTgbrLsggNGXBWLy13WhR2uCiUiDU6e+vLHQeCE2y5ZRex36LTL4MOiETWoZ8nVnfwNwObU7PoA7l/8RAaMTPI7oB/Y4Fh4FhGDcd6Rjq7EccWHfBaoIltrFnQ7LuEIBzkjHdiRFN9sX0JoYm+qn0Muj/azXY6yPavLwXfGFoaYmh/NAgQMl1+r8VpUNsE6CAJ3ew4zj53EyjuApd5ezxrYzNo2xI8xfkLZgZYaEDkFLrx2pwzI2VWgGpRniqUCakgJPcJ6zTQYgwxK4Tq4Z5OzeZzHUddKu5L6QiUsuJ070RdiBINwgHVuGdkh60KDZ1oXnQFj5hyRIQtWdAtLao2psmKvp00SpKp+wBcjlWi8NgcAoOA+jZdpK9LSs0po38FOOVWDLXFdjvoBNa1kbSOlFJzBAmfcqEKVKFH+bh/KWNznNq+UuhlPNRZ8ZBZZ6U3MS4Jhy7uQPtU59KVolnk1gS2PuEdhLpUe10kJHbxn5zM7ZbgOQteeOa7y4vn5VQWU64qOnoZ+HkCEL6zzoRuseluKdNzIwGk/P8mzpx3/8x/HN3/zNeOtb34p3vvOd+Kt/9a/id37nd5Y8f/iHf4iXXnoJ73jHO/DlX/7l+M7v/E584hOfWPJ89KMfxfve9z586Zd+Kd75znfih3/4h/HkyZNnbs82hDuCvUSUZTGtNt1pdkisAi/QAZSQJmgpKBMLcCNzvDPDHQJEbdaZYl+kTr5M3x0HHa7l59B9dc4MLQDBuofMmDUT7EczPfGzNF2jveOOMPdN49UYllcT+DTYtAj6uOtqA8O+h0p/TgoolbHHvzEDnMw5wyfmCSI2kUd57gB2fUccu5uzdp6ImEs+PU902QSZ8M7o1ZM0izb59HCCnpG32YCCXtQETfcwuzjP1Hk5jwtogCYi01FpB2Q4sTkxfCKchmfyYsXq0QsFcTVwjrnvIWjnzDECok1JR+d1tbprhKO4e5xeSzGksUuG5ZBOSRpBSLB7OD3HEM2sRwKsAngG/JgI7WiamdDGxQQ8YjdhivfEsgKIeM5NAYzQvNSMFcxylLEMFn2fCThi4OWnJuyX10+g0QBtvsN52ktglc+tjYnHfJ/xMcCyMVSEtESmgwPRluy/FmHzE+rLNNeu9XYdU3Ym6Xt8dARRZ0h1v2jJYhplgNI8HrnSipj0ZtXS67f2KU/ogZDK63NyP/HRjh2SfEca9VWzfj+mBBNLD2rl9Uav9POl7Hy3Kj3U0rSNjQ+fR+X4Xi+7r9Vb74kRXDw6O5E9pd5z/oeWUCW9EvjyRoY8kV514POhD30IL730En7t134Nv/Irv4LPfvaz+PZv/3b8wR/8Qeb5oR/6IfzSL/0SfvEXfxEf+tCH8Lu/+7v4ju/4jny+7zve97734TOf+Qx+9Vd/FT/3cz+Hn/3Zn8WP/uiPPnuDPCSboi/XkZ2Zx5zDD8HK8TC1K3So1bvc+Y+20BVhWKYAaUS0PkIQWDIBNYmtgMxndXxZuxkJEjHGxh4cTQEiZizuWww/um4p1A0COfEvjpZPMiY2mMfN3Se2EaY/E7CJAD/hqPxkYmM8nnrPqU4LTduIroUwfxLARGBqTMD2asecWMofbqntKeCGlFLe+jV4kecmQQyOgQvVGHGEwC3/TQpJ9U+AgH0ekDO64IaAYYFAgDSea9maM3LCFp0zLg8/h7aG85Btghf4NAgUqw1NvJuEfGc15SMWZtOJyaB9O09sqf0COkAHO0gg4lZCcrrzVFw4LAdAEmicQqaCLXCaaadwpEqSioZSMEyc7JOH5kVmZ6Heicm70dgPfpavmcBPXRxbokrO77mOzBnBui9CgdCuQyjhoXmmddnXsVZ1v6tLZpvc2KCNOadN+dWpIJa8IJICx1cp8Yn3Xxqy6Plau5fHi51IYKH5e6E2g4dcEHBF61+MvZ2axN60+hYm2H7JWtvjDgRsyd0/df6InFMFM9byjzCoFX8i1AE9NcC2TJWlvLWfgWNvw45O06OGsAq9GogrEFUbg9vtumhB4fiLdr126fWASeb3raxXIf3e7/0e3vnOd+JDH/oQ/sJf+At4+eWX8cf+2B/Dz//8z+Ov/bW/BgD47d/+bfypP/Wn8OEPfxjf+q3fiv/wH/4D/spf+Sv43d/9XbzrXe8CAPyzf/bP8Hf+zt/B7/3e7+HNb37zU+v91Kc+hbe97W34//6JtyP1i9SY7xQ2BiQgysM83ElHDB4duZWALNfFHWUeyCXFo+HB32vpavcthz3XK5xVAxQ2jjo5BqQWVtqcaGjtopLpc3c4+JJu3i43TL5hKG2VWZ7EAMAIycZNqGMbVicezOCDp8tG+NXoqgonofLaCjS/oNHaOaIdPgKobKP65SN8KO4Q5Yihmy5Fbbs3mQjdRgX8M9CMBQprmgFHB48xGjJBLZPeCkRGe0eL40OfqJQeArXOsZPzJwW3F9CVySqcpeVoqzEanBMU9BMMEki2lUMWlZcmKpoxOZ8S4B04dgFhEiVme5gpYcIpC2PTfNdn4zh3zWc66WviWRP0Aphqocx0AE/oDf4mgRHQC16mRK0VTQJpQZ3l53xwAYqR9XX6wLimc7V4jh2geZHeViWeVme8/Kv4W4PzyhjLQesENuKUIFWLMg8OxDoRBGpFwjDKzGkDcsaQgSlTLvICIR1ca6OyADiGkMhNGa+XmbM+C6QH4FaZ2gjpPTDPzPHR+HX4UFDJqn3ZflG85n/93vghap11f64sKplnleHHchaQdFuoFkiy5ZcOF6oPK+2VyXHRj6XLvn5vDe7f11y2lr30cYUt3jp/qzxfHq69PA/RoSz+du7XuS3nfizdv3z//Ns5vfzyy3jhhReuH34O6VXX+BzTyy+/DAB4+9vfDgD4yEc+gs9+9rP4tm/7tszztV/7tfiar/kafPjDHwYAfPjDH8bXf/3XJ+gBgPe+97341Kc+hd/6rd96pvqfiMc2prZx1+kOmjx4CSfqSgmtMd2hNcnQJ8Kikz4IZhj8D2kK43tevhLw0AyI+dlQADq1w7ClyEQy/poQ8a5cckPghZ3BnJoJakRmuH0sGovMkwJGGo9YBJEvzEcbt/r7RDI+BueF7UELMWyT7p91p3p797g13ZEaJjOZtqTlIQOd5TTp0vw44DvgT6IOoyYJjqATmXho4IKI0vAYaGqk5sl3EJTwTjQXOAmz30bKxtgEPVIDIsaPGSCZqpiAIeGnFCf+ancPOE+tRdTwNEVCGjSH+55aIp1KmzMJDnjMsydzpomSqqkwhXFipIYFSBrMOVPTFpEjpZWsya3/ZmNsuXsngNv56/SqL52CDRl6oPaXDtmknHkB0S+pypyecXRSq0S6VW1i0hyX3JQGbQVyUzvhheYyVpBRE8TPAmq5LNlXabhES88ecbwpH3WVipSPLTBDQ5Gl8dVvzrkiUGunPPJ5Q4Z7qFXfy641vHxnJiNjS02UcnAei6ZJx1bPVRIA6l5BesFO9MqKktcWG1Pb9MOxxq41uhDAfcw0d3r/8qEd3riVrL8EHCniJ5LX9wUBVa5bNDw2aGnXxUveKvN78j2lmPsbcoM4x5/vp+GzZHpjpdfUuXnOiR/8wR/En//zfx5f93VfBwD4+Mc/jje/+c34iq/4iiXvu971Lnz84x/PPB306LmeXaVPf/rT+PSnP53fP/WpTwHgpaF0oNh62HpNegPmXieK4EjGryOwYrza24cAUxwXaQn43JmHczdPzzuCsbkQvY6iS0tApkzVUwhUalYwKOwMZhtkAzHU6YzQIgDIcpFrWsI8uiwRz9f2QEhPnDtTzzNQp/RkxmWg4azLCzhdjqEAdg/zGAWaAwQ8gE0gY7U0uu3T4/JTMGhfqrtCyAzw1M2I3bZOj8VJmujvchzUAkjt5MqbhTYoND2DNLNlsWZcEgluRwhWdNOGtSPR0ubwdBuQQGlAvlNxhP2JT4zchfedngC1l/DLOafPUftU01xmIavySI8unJCjLaAchcoDCPA8aOfI6aQXl51u7ep1630Xpg2E8zfBsLxfrmlQKnbVoHOw8wReRetGroVag2pohm9oc1LmLaMmb/K8n2Z8Oc43wam1Aac6i2PReAJnloalzRFSQ+2CoW53jzrHcnSA/mLWR6UZv4J5ZD01MTnObiVnBZeELdA0Q7Vs0D+hXs0pjiUfR5mAuCaiL1+zDmv+Y30cFp5R6yuX1YVIPcvLMzLo4QxWlHP6iGQEhgM9DrUsaEJUb3UvzK8VlhWeuePNvlw8O4G1q/du/X76ZpeUvJ3OxOnz7kyz88x8JXW80dJrqvF56aWX8D/+x//AL/zCL7yW1QAIp+q3ve1t+e+rv/qr48H05mSMnG0SmjqhBYCxWIIJydQVDzrLiiJ067iYz/Q6adTlapbNt7tT8hKHhIJCaneXH4lFPp0XGZCWgoJDE1bt8Yk7i+s2yNOhHXG4uTi6Gnp4+NSkEzFkxoiydBR+UPsh68Fw48k1pJbGuAWek2DTAcxJbQMCGDlgc4YTtAObRyyf+YR+QLP8cUb6zUT5voez9Ezn4OxUCs2QZRkFMLQ2MxyK5cQMl6Mw0t8jr7ugKm+fYRbbWY8c0FNeuQQlncI5j8rAaXEvmgsUiZYcC7VLBNS/yXfc6QRd/xKyagzZnHKzirZqnCecfSi9UDrrYlITEr87qI8xpLZqMvpyaXAs54D8gXYUoAkTpOdw6KJKz3lYa0mbAdWtXa7WZYJEa0Or9UGglUYw0RQyzXCcc+OiFdA/WeZFrQ6oSDR6Gvu+AEuXoJd2xmsdL75XqY9CTsoOqE8O0FZy1pF0yTAKBi32mvDVgvy0ejAcQEmjW6IAb8Kt015TrpVi1ustn8IE5L1dN6T+ovDpbT1gig4Jl0yNRktF7f3jW376rZvqGqO+0fSV0n76dc23UvwIlW695ecHt17IB2cY9rQi1jfs+udTuvn41oObbX5AZa9xes2Az/d///fjl3/5l/Ff/st/wVd91Vfl7+9+97vxmc98Br//+7+/5P/EJz6Bd7/73ZnneMpL35XnmD7wgQ/g5Zdfzn8f+9jHAID2dZpvxMU4b+OWb6mcxbVQGowGSOInxVmp48y1wxNg4qJM3rQyVJ3e0Y7KG/OZ2ZJi1smXESaV7vYyPMx2gwLDaGZI51Bnq1h9gDk6qepmbGonnBJz0nE4ZB+1KWzr5ojTWE+AsQOYYc4bCTw8hcXwAd+pbaCZyibge4CKyfryNBbpsu8EkNMXIMXLwWkeM8qL+LvvCMCkk1gzTl8pYN9AxAIy6P2ZGrHh2ih2h8wueZpAgHbcdBYTYDTRuQmD1MB50xZEXWM6ncI961b/3YHdw4U4TGhh/hLwTfObQCF6OxO+ZBtiEgiYKKtMQ7V+PH+nWc/kMxKn6CZmaXhiYQU9rMEG9Vf1wbHbXEw3yFYi52r5TSFPWGWEZTXSDLtKtTJBysk9V1m2JzR76aDd+Kwd8mr6HoVVN6mo3d3UA605kaNGA3JWLk0Q4UHn9+1r/qyGEQV2X/BOwSXl3FpFuzYwRdwGwrznU5nqYZnbG9RbQH/yO7vokx2ILermpCvn754xW3+SiaLh2pYVelh98eNo4vBd62Id29upu6dffb9o8j1A5diSpRQB21MTDjqz/PIUANFeulXr/eX4xafbdTw8vaKXXrX0qgMfd8f3f//349/9u3+H//yf/zP+5J/8k8vzb/zGb8Sb3vQmfPCDH8zffud3fgcf/ehH8eKLLwIAXnzxRfzmb/4mPvnJT2aeX/mVX8ELL7yA97znPZf1vuUtb8ELL7yw/AOasyb/p0W7LBBdT+FhZ9/EBLhoc5FamHXMSDiPJZAO0q6bpZvnaAbjc05ew7RBswtPIgE0jUiISgs1Uuu0ae8jwYDEQ4hTS7WKDch4JKAJIJkgQcVwS0elui2+ChV5BgHPcAQYoYR5Qk3CcGCbjhEoJsHS9D0E0B7XVZhOd809Bag0MdgB2x2+E/o9mQGQdsB9EDh5bsrndCpI+JsuOfXSaCy7cx61H5PaMpnUEGApNBkxYM7j9qKXU0iUo6clEFYk3kmNTHQ4NDPuSI2OAKYEi0YpzJ2h+ZkCjfKGkUaI5UyPk02TJ+Cc2qjJueMIMDt9hg9Vdh55fD6ADDVdjqxzJ9hJSGKgY7AEeZ34KhFRWp7AtQK9AVj2Gq4UqStv5Wkt0Fzb5ZbKF4jxOkgQQGtKWsOz7Q2s6D+BRBPwKADST6y5NUHGdZtaKbUvUxf05AwJcsIjsJ/cS/Bk1a+VCiXUY907pAm2Q70x3VZxD9iimT4+W5MhtTlLG1iOVs3xtXxh4tx+X34S3VfZfUBG2WcxLNHUbjT92OJb+drzK/Cg2hdedwUyVjBVYPEIwOrLYYbgmKVwZt9gHVt2ynyo5wgony1dUPGU4X7494zpFbTx85VedR+fl156CT//8z+Pf//v/z3e+ta3pk/O2972NvyRP/JH8La3vQ3f+73fi/e///14+9vfjhdeeAE/8AM/gBdffBHf+q3fCgD49m//drznPe/Bd3/3d+Mnf/In8fGPfxw/8iM/gpdeeglvectbnqk9uoldvg6Lo17XAJGhScMhAFLgh74CZtyFo1aQ0XFYDn3erO+OVPlrl8GfEcGRxbRDoIa7coskzXY8obQNLYDKkJbJ06dm4Y1sgzbcYv4CW+q6zDgTziB7rMvqPbFm7fAZwBmKluy7wTZnN60uNiW/yKvPQK2MTho17UucFvM6gjwM+5Pw77Hkl2SSPBWmu61i0Tp9oHgp6gjaO8JnSjxFd6xJqMokCLS1mmPdeY4HwDT5cJVJQHMHgZPi7i8KmvT7oU+LQWYZMkEBZ81XeQ2L7u55BDp8X1SZ/C1mIgbjvHZMTB/pR9ZmQyoBuhYpxHbFUlL/JdhKMLe+E/QkbDCuKYi+BU6usIOzX5eSRNOwqLw8PnzEXHIdHGXpY9OvYygnOJG5/KEM6ntvRxtny1fScbq305ay63NoBTl20hSVza+1WRW0/niVcqZArc9OlYpCrZ/lnzYF2ZJu3kvzZeSy7frNlifHVE971YbwhcLSDy9t+mFcTeuZLT3Vt9BN2wvL8TqBB/Gh/ruY2WGWuRg3aX107F6a29pxla6f1K+HEXtKIffT/HIdPbhdfmzMw99/hvfeKOlVP86+qDlb+pmf+Rn8jb/xNwBEAMO//bf/Nv7Nv/k3+PSnP433vve9+Omf/unFjPW//tf/wvd93/fhv/7X/4ov+7Ivw/d8z/fgJ37iJ3B39zCspuPsf/JrvjKEX8hYjq9ACRmKT57aGijbPWqXNrUAvZigjs+qrEkhkNqVeBI4YKAfy/W8pkGK5QAnCou/IYTCzpo2BHPdCai2tiibYnpZg9bqB2rx8gs1FvF1ZMssoju3PMaehgMyUtsVcpFAyADbjKeJ46j20GkaNx51j8jJO3jvF8veHHE3k6VcyR26guNFFpr0dOp3yN+ookb7IGgYjD4t6c7KdFUHHLyAVYBHAo/u4okrCCZt5q5+wmhujIkgM4vaLuC8m9Gs5tUvao2S3IQMJqZMgDR0lxYEZsWA2SYPvzXVDXjERjIVTe1GO7Un5CkBpkCWA815GqUdnN5MD0xpZpVgoM/Pxn4bWigGrhXNLfmQKXVH76ABW3oUWlPgjI7xbR6vAL/NcNda0DppIIN5Q+BqQiC/l+bHslRpZ2VKtk3fB2xYONAb87HMeI9rBBV5O8MYWNOwLP8ntDhsnrK/pI/4l+glAOyueSbfOmm++Hm2z17aNL2DfD9ontpstIZwZtRcXkFn0lK8VJ1YZPNBUGuHxD6vc6UNdk7K4rFHKXyvSFsA1gFycLqkbDj0eH137e/areK6STmvr/n8RIK13SveudDUHX8/0jfznNt8fvYMbfJza84kX+fuqQ1+aM2NIXutjrO/5nF8Xq8k4PMnvvorYUM3W1M7wsU9Zqi8ppiBdmGQw7IW4YBYYvweoEVmtAGkU2xxqToF5FbCLUwYUdJmNbEU1WWyduNWaJ/Axt39E9BRe8qURvDjFWvlakeYuzV3jIHUApgVoAvmPAje2AcygUE/KeugiG/aAJzAxRtYuhvh+OoANgIfmOVdWpPe43fSetB2eMe7pHYCGGttSME+vOIGkQZjgDGF+G/UeCr2z2ABASKVt2gU2itv9GnXO5BKuUPn7lVXgCjCkxjm7tpdO3/TkfIgSgIOAR8xCiI/0TfmEIM5Chl49Gn3AnMyswiZp8lPjsAUtAlaCfrrAlDNJc9Td3BA1xxU/dVHvZNxfrzAm2IlGUFP46vlN9ZmqzYUSQvOZfmQyRldV4IUSqqUYiaRq/5YAkbTBBbSZr+K9rzLzHKGRzvNKhDiMIL7+D6G5svIeSOgZALsLEtzKS9Pzmf8exKiILCw7E9MqdLyZcwd5EPIFNpBTAEfvcPYPtwVKvbPApQQptbeKG+N0xh3XLKAnYMk7WC1/+lgZvld79wEPsfizvXVScj+uzI1cLLQvT8/lxu/FP9dG3HWDT0EZFS+c3uOUOMWSFo3A1hpcWzBMgTndj5Tew51XdW/luEXv+GUXivg8/zf1cVd2pDE4a4imNJMwSAtgmLKmDs2lJtxnZ4KETcxkgv1S0a1iw+zRi0EmbJyl8eLP9NN2susJZA1JUj42x0AmYZSU4DyN4r2nSdv19x0db+WNHM1X4YSaQbwiHmAMMYlhFsL8shtviXwiby2GcYgHQgER9JfQpKCAw7HKIENZ1BJ0stpiKCwcjeMrfbKTr+W0W72xkZ6sOESzqERAo73Rg3aQ1IDLhAwsZh0OqOPPOsJIP3t9x/pxFExG+6ucQAeJe3YT+TpqgJgOWTpmNqMNFEf5+Kmn9wBBSpw6rjUTqZJ+igApGgg+utP4p8DsxR7HA3QT9CfLOm8Ah5hNZkeu5Yy6uKvnNgOL0flwjdc2myZ8B+BsdpSNTuPoAMV9HC0E57du4Z1W9BsU50j+qb7/ZIqabfpfRbGaot0eeJLnZb/Pwhn7+0yAKv30brwm3HqoL0Qla++L7+b+FIZgqqKAuJ9DaGvDSH39rT3TPlWSJJsFG3/tZpEOb5+fNfb2m1dyDIvBOvVj+JA6yy/en5dRl2e66c2XjYhn9339JhWup73AeuIP6i8z0EH8qy1ndLn9PKzp+ce+NRx7BicPSVPmEV2p6mEuyEDL94EAGf+/F5CyRBCvMcVERuSGUFCsu4Eism1ZVl2sSiKOQ4KhPiueWkndJO75bZjHCxj+kFQ82mCphQAardBu2HPI/pRx9jCv6nJ5aKX6kkfEMB4hFyam8E63SK4oJo7eXWEuoYGqiimEgCOFhclYx6hfDhCiAosFdMvwIECIO5homu0yRNFJGq0QfqZ8o9JrdhU/pnzZEbFQRsBSq9+wF1+5UsMm9C01GRIHxgAuljWgQTaJW5LCGoO5PUrFEzui2GWdcuHp/xb2NAcG72XP7AMgXghjBITyJL0mtoPtU90limuoykUUDG1SGYnTUSvfuh9RdkuM2yrt0kFgefymdEckq5VYHW0TtQanKgI6cZLfysVUNA8Ruvvuto7NaqaomQ/llFAtNYD0OFMmJa6MKzcMT1Et7X+ytt/w+H3M1ALEhwBFdvPBXdLjuY81bdsVyttaWv/Ur8eh6c09kcIUZrqAmUHHnrdVNybIXc4D3v1Weqo7orm97dFoqGY860Kzz+2pXd63GnZH59KeWrnnpI+Z+T0bOn5Bz6IE1HyN9GiNUrKOjniwBghrOcq8Dvz1zSIoHVimrEwh5iTORQEsSLFeR77diD9G71pQ6Jt9CuQwGI/yqFZ6AHZIrA/6ofs65KaaYVL9qk+lAkOCA1X8hiniUrCGtIG8HeWP+GMoGy1Pov3wTAwpleHCYAGiRtHlBnFGuELJVOL8jjF0RiGKa1MdDppYh5mwCfTM4SB/ENQGCDAIHTbPOkPy2CREqTW+pD7YasxPjLTvEqjESG6PZOrGE2cMosGsLAsZC/yJWAX38uxRQBTR/iAlXytMjYAET/J+K6lq5Pqje54zmknHTdjuQIfJh8gz3ko3xUJvrq6pejc5+3uus++hCVyXFbhY6TsdLWo/Ho6FNBMnpDGLdbi1JyxqktzM9Zy02Zl7TKLht9ejg7nS8GRBihsBSHQGCypzftsu53alODJNJcBtDau1Onf+zdPgFcrvJtcrP1a73jLtQChRRB5cj47lKw+BTCtd5bWcQ6Ww7KmUzKxk4Bv1sq1aX2TdXzWWntbirYFdeNxOUs/IB1JpSrWBl0182HpqMK6KMiXD42OJTQORayg756in0LLlu9Wts8zoHloev6Bj/gXLC8X3YEQnoUNGBUYqe3RsVx591hKwTKN6Z6k5FsK3ubAbqUBMFAwzoOAoFlFan4gtEhuyPuhBD1y55qCmQygrYtN5aJAlfHzMGMEawZf5ALX6SwIhJF7xZ1ezO/IExkGYO7xQVqc7KT6JEIzQ96dlcDKM6J1NHRiGyM1ANXNKHyzcIr2CdjmbLfxhNUM3x2P8ZMmKBzHR7F8kQ8FLnMcwJgviIGV43IdX9VJM6TTs8xC1rQ9imrrjgQgjngp/CR0AYoLN7LOmcAp5p6XqYbzMmjs2R/zOpEzONHV/ikCqt2QFkW+bhJklnNXwTLzmorlPQo3zSfR0psJipq+br7Q7JeGpAtZ15h4gZjAHgRsGhuCAXfHPr3WJzTvRbfVNGeeXlLpoKvFMNv4uxZRgwGl4CVkdM6lI+5gJ+Xb5pgwG7FWkF5XSb9FBtC/rmGeoo2p/Wd4s/5dH/Uyej4dyM/+kZ4ns2Z2SvPwsN/3/jzm9VF+aiTaFMw5IjGaHeYL3n+w6ovWyRGCZP5S251acDtZ8sbr1Gfo9fOlkZfZ7nt3acrhp4sCjyDqlNZ3+lgWwHxg+67IefOtY73PSIrXOT33wCcv7oSFeaIJLCBOFUlLAvc091SYmz6ksdhCO0BzV67XHtK/6ljs7LwyIRcstTRo1w5ElQan1qn6YU2CF5Mo3xAyMdaZmIIPDXHdhARXAKtCTjvrUAwjAaK+c5ZfjxaI6thY9+BR79QEKO9gvxN4abcebbizEUEMJTwneJmpuuy560+wOAOM2Qggtm0DqZlxh/vAjhCU4WNSBpiNfyc8tDBDxGq7Vkfc7dToGL4+3JE3VUyZqGL8NA8yYCCaj1DGDyqNjOjfgYV70Q9WN9XvcZtpO5bLKzgSZMtBNaEN8qoIl6k3ZpbmcZk243MrqU5r0RQEarUilo61duhS0tKOlOm1QR7RUqeWNCcBKMaQQJCATIIc/ZbJF2BWfk6Est7oYp4gyvxQVt9UqC7Eeo1NiQBKOSZn/aj3ypQYkKc2VZXKBJa/nD4t2hBCplWjohFSS7uQi0z6v+ggDWIvuW/eTqDKDbCZ3K8UMnru2aF18xfv1jg5vA/gAitWEHVsXwJDbzxoyaEiOti5KYILqzQansFIn7NHo5lfvlNt0rgc3lvG7dzPq3RPLy7qxqHME5VuvHR452D+uy89tH0Pz/j5Tc898Nlw8J2Y4KWWwZjywksBGfR5qjueamdUi0JJfh/FoANAAObtOslmNxuwdAhWGfV/0LRWnETCsKTCsQVkUl67Lc9yQAZcPhAmJ+5kWpZRneXImJvkzqSTI4WzeGvOYsqYUxojag12OR0KHAEY8oGJQuaQWJEDruURZwFEE4Mb1SifxpNq4fSdx7yn8xbtGOu8pSsGk7fAc+wmAOuOonQqTk6J1OzoHZgcd8vMJ/lZd6zFv13MTjQjcU2nzOB1O3ZnvNIoQvOTO+Ahgc/RJq4bBBIT9Glj23VhBbLds/yFNO9mE6TZDGkDStjR06lNCIpY1zyTSUTrougqEJvvWNEi1knXw1hqhDxLJa2sNI2lHBJIa3Rke/q66jJvEViSv/lT14Jg7QOFRBe3ntQqDNUxzjKP0ZPGsZJdfL6UH5qbOUa10SoloZ4VONKBDvPyFlobEJNZWj4BkxPrE98i2LkUuALHBz5Sua/B0Eoj5Po69l0DutScRfZRO/zOdXZbJp9agFMn+FPMUTs+qSr74ruRrjRnD0kdYnX+9exo4xboeQOillchPffARwxAvjE6Tp0AxD0usPbwIcEEPkutkDQDof3Rbg+Y0I6bDCWFnpVwIPczo8D2CqEv5p1KHLYwTx7poDMFg/GIt6a51Obirj3mS4vnl1cmiAEXIPJ0wBwEdxLEuqBUTEiLVre8+zBqePjdjcfEqW8xSzCptT50EeRojGDSiDgsrkdgPaHNYU9MO93glHFRqQqQFqgc02GA7aiAh5MAkrt2jJH+TrXr9xw3GwFSguEXbYt2qcRPoLyje4V0JhG0SS2eU/AmUDLeHyYmXNoLAOyP/Mc8NUCmZ52JOuMWofsZOTDLW0EnktD8sQTsBLTPIjgupjXSsDvY5sWrEOjRZ/Ylc7b25KSOX2kxZbDHSqE95ZudH5vnSb+MhC7B5805WwCmiXyrwglc/VCrZ2vdV48+mbktF1VRynP8o1Kzmg/LGDUEU34+AivtecrTAixX6eiF4qSPiFUArTYxbXbF8wZKco6qtE537zS1VlYzTbd0S3EQtGTLOolUb5smJ3zV29IaVzG3gLXRerHVz3GvL53Ox+pqbM5daZQ8ApYE9lXKgQJA025dlXn108JZrqbEUqwvv9fXZwMxfSY9LO8XTnrugY8BMEW4t/KNcQsQsk86u4aHJBcgF4zTv8Sdt7zP3CHn1LbaFTnk3yJzABathXb8/eRD48TJfKKJZDMETcqv+B/J0ukcK3aUZiSuDsYAXHmHxELy6wHYXK4FAJA+UUCdfZF2K4JCOp95RIc2lQe2ZWQ9YeqKwuXPYrYCTHHAYJCONMGwz0ItTk9dmRYyJMGOiPEzCbZYuTPflKOOO8pJOQcyr2mgyxDBbvRVkbR9OhQlW/Fr6sKEzpREBf5GEAIDlphP0ixwXs45M9hdb7skgydBi2ZOwR+xl4FtIC+VLROq5rFMtTW/FHBRAfzcJzYEUJ+uk38WZjbOA8u5jKVNjplzUPNbYDenfD2CTpTVM5nmSmhJq2N5ms/zyLA3oNFBn7RjCR5rOrS/piYsjeqbpHpxArYlLa3N9Vy91K7kfO2vg5rmDncWxNOENvuYwkzfldM01zxfN34X5EwR6GfxGzQ9A6Kcn2JE8Gxj0rA6vPS7DWiNmbcuNkDTf+vwImd07STPEjU1omtzVmRw6u66Li+Rw5L7vqKQRPfW5t68BD/Hdzq1bzy++O1BoGLJdz+CfAqpzgVfFPNUEr7B03MPfDRsm1FWSFCZVOkhBBXYEOBVEhImVkeSjdoMUAAOCsQJiyB+KJ8Ia7UnMzUrZ2D3bE9ofjQpm4BMxh2MR3dDqWRprGB16qw0IvFuBz3rZI3F+YSaLIGRzUaaSUrAWGqntmyYJxMqf6Y8NQupyecwCixnC6PcbQBObU2WL3A3StMEj/wKvKhd/7aYuwhoh5f7lICCq0z6eU0xZbrvMqq2GeO4JNrzjAElcqU/SkwcdD+OmBONto4SLMIpjpKyHvlNV280Lc4U2AWa5gkJShNo6A87LTfyXVomswLzZHg6sRVXLVg73bYK111aG6vozMprdQdKnKJSy3PsVWOBNyA0YNbb5p6amprznoDapsxkBIWJjqx2t96i2YhOXDeLxsRrheW87cKauHpYORznaLpAYVHSvHzw9H9HB9QsW3MGBZjWeHodrB2TJUA5tCifr1Lfsj/n9d7eFu9jTlft8l9D15S3tjbhuhbth6Yc9ShV9iL6bwj2pGfXgEI+mq2+w4ui5FHjVEDOzh26FP0FUq7wSBHgDCQujzdlP6877Iff/OLTU5NA8qkPFxkfkOve5Of3XlE5r2N67oGPuWFsltdVaIduPmF7KAAqmBtPxDivhRgjfHE4pHcYtVPSrtb7nk0qd9bLN3cgF0RGEbZaNOk0GggE8GJMmtESOpuErYuZirFX7BsHMnAdgDzJw9IC6KBU1t7bkb8xN4Fh2um9/Hd0ymZ4+UAJQI4R5jmjM3LiBy9hGgDI1mB6Zo2eyBNbikeEWS4+kw5C0jBoF4/sR2h5ZMKM03LR1wK7EhKTEarjFvCxUJfUcGEJHp2Gp5/Ewk/FEL2/7QWGvDRkk9FzJcxhCEAkidkGZPoM0518mkBQyuNhofyLDxEnpwlnK1AlM6yCPkqTJ78ezQjj1RkRnXpi+OjNyT7pBJiehBtXA50S/RwaXeWhJEPu9DqH52xz0tBq7iRR3HjajvmagJOZLPqsOc+xynAIGjP5bZVpMMbPyjSTw1vaD4nGWjtnv59V88M+H5GV5kwKrxVeHI0xTTF0IWetBD/XK1r+rmzM6NjZ1i7u2aQEruI7nj6DxXpaOa1ryb+6tkrlq23144kc1eH6Y8c87UdTv45FLaDsKeLZi+pFFRxRxdqw1roOWvwq21WFvS/Lo4sfb3319dcrGH1P7Zep1/7swOaNDYWef+ADBHMmU8GI4H1G51cANEfRdEPBHhdmIqWd5RGbEtA7JZnkDYy70oMWRWFvNpMAz+WPKNXJ9ySUi4HoXWV+gjBjDC9woyO08kcpTRCF1pwUXh0WtHZIUEG3y9fB6zhZ4bDGrGNXODDg6Uc0Wp/cKFxGe+aiR/Qn791S55J5aWfIKwLErPbQxphb+GRxS2rDgMmLTGFS5NB53LGNkcQcVmAoBZ7lxzjuv1kKM4dhn5ORpVcBlNcyOFJDEVrCivYcAlWBD6XpiO6EEPLkxVHC5HwKQCMzhfylFKsp/XQaI9f3hC1CJ8yWMVSslUsJuXPWdXAc+4S58Ptd2kWvfkyZb9QWzVeXaecc58dGk4VeNDUJ2sA0PFpvuYZXYWtLH4oSKO3awnsVKNJr7NGTqzlLIe4o37Q2BxKUZVnyDQti59oBtGCyzoJHHRYd+qDPLhrUc3X5LFY82+zoa8t5dB0rKGqgJH5vBGsmpZr3TWuWrUQt36VBDaCqlKZR6otB/LQDJD/87QN6M2ZMjgMaAfXEsg/3CeT7WhDfGjM+QYPeo1VbdA1QWinH3121HenYM3S3h1OJF326rv/Ga7ezPgjTPC3D6wuMnnvgsyGmx0bmux/WLPi87syy3MUPCuA9JUfkMy/QM9rUy6B7CMZoLlBRQEaxfgwFXMJc1u5I6jygS0vutpZdFX2Q+rLjg/w4bMBMQeTkcxGGkdB8ADbD3KNy0u+iM2cv9hGCGCnEC7sQ5AB1XB7sz+SpsmxbHJMeff6znLp7rES780RYuf9IgprsFLxeA+mXEwQmTeHwocjcvLvI1otpMXkBKE0upakCwLwlvLBI2Tyd7sUenfFkAvCVBkan/dIfNaWRtBcV0VnO2YrenCCH2ivzC1qnKYmaGw2hruRQWzOCdkCJ1DS5Q/ePufyORAvOhQBYkSs0YewDf5tsR7rKcNzgJZxr3vLEnL56CY6MlpyFxCcd8XdIqJfp19qzeKsJAi8BRoqlSNcEEw1btzOn2lkXpjbNjtW/iCUVs9BtpNkZbf6UkKz1ClRR2e6GWOr4uXI4hFA7fkh/k6R7lSq/OLT/O4C89sOP9XbuUg7Zy9pJO3MfJq1ZrRpfNDAC4i33QtNj/3tLyvK1zqSejrDl+OmYv9b7AbyoGbXyL2X3CeiIBJpzFzjmErbU/5aMt/pzmbLNvV033jmN8dKa++v5Akzj6Vm+sJOCvKUfjYQpNTG6jICxmiPfGDSLFCPoAeNgYXLazLKMElTBfKdHFN2dQk/2Hl1cqGUlAbQZNVHHhcQfBpDXFGjQdquLQMG/k0ItmBjol4QEKAZAwdGiLB7JNj2VqGlt0IdWrpuiwwRdh1BGBmnkQkqhDpr/QoszgNDi7MEOByzDDriee5mltoZAjI0IEEqu7oP8mn48oTzBnLMYDiWktAraLxkZ/Qb6cMmJekZZ6dLi8lPh5OARdNFkUHp4VtV9LcT4G1UplJqsxD51cWSU4pg007KvbEdWNCX6wl9m14WS3ZzkE+47ZO+d7nFZpSJq+2Qemt5m3K/lcxb45LMU5Vm2hCvH2JDCPiaC+uEJ2BdzS9LJinY5hz3Xh9ZUaslY7uS/1ICYyith2CexnP4h6nqVEWV3Y1/0y12bE2rpStJnOR1ESOW17uKPIvEoqA/GCYGD5mO2JA+weGQafQu0vHPQih0LNYCbNa2L1rJgGvy7IkE7kLhHoU501DvKsT10Jh/Wxs7yb1XSXzR41tXQxKUZ8Zg61c/pRClNpYZNZR24hgS3DE1XY2nAIfcKtG6leG8Z4qu6PofU+fgzvPDA9PqCqede45OsybFoZ2QWietGQyoOboV1cgf0+3A532pd5aRsTr/c/UwAzkCFpTqWur40QINOtVokeY8VemTZUg1r/0MepB8hr4s4faZ21d1FEiYwRLRkhAPzdOMR6AAOw+Kodwia0BI8ceZn25ObNi3HpEZBOgUxzw6+ADnG9slubecXtOaF7BCHCYfjuoMq2mXpFFz8Xm1gUR4mmiEH9EEzltrkdPgZBEG9TxLGE7ybrAkzq2wVZykE3+4TGxREESXIm03C6Jidd5fm2BagqWYIGMUPZSKkBoGEdQtg1oVsBBdk21o0bM0Jgd885t+kpPGz5oKGveBAE9ltTKXtUXTy0ouVul7aTFoj4z3ofi29xfkjjYTXvWbGeVDaUD/MKaRJJw4jEKiCY++ejr3NNz6BqUyJoTzTPPaYm9SajSyHsMtDj5PatwvuX/4/nvNYTmex3jjoWjh9cgBJyfqGAvIEKimC1ZeT8G2MC2Rm3stSG+T8Xv0X5+nNW0FTCfQEa17uAzpo0HmnNiPei2M7fCk7ZyYaM1QJlc9qHPu7B0K1x8uXXuz5tyVry3Au4vq3i7RkOYz1w9Ot3P7QZjy4xGdPr7QFn5/0RQF8RjIH0ATS1K0I4Wdj5MzfqOLeR5iR9vzNUlswqMJ/4jM0P27JFFONZryfCxI0aPdPhV/K8PADictQAzANMYliiU14ynFVjsXl3Du0UyJHkQOv4uFu0jT5HvF7SJUxBDSCYIYBWU7SFAZew2CjzBSmdiKPoBocux32Mc38FF2RMItcebEEtXA9uOI2LHf/Y6FHAIAJhIZOoGU6xjZSAMqR2nhR6nG3aTP6MCWYJIjoM9X1V8IHYTITqInng+Mtk5SYuOiwexfuTgZfwChMReUPI4CrsZdfSI/2HA0r3xK1MaEi66QVMNvlvXzSQ1qcBHSFLmreZZvkF4Tm58RmsR267iJoK+EXGaUhhYQryvx78liwAow1DtLTeZrOejBOpOamAb2WV4AuylvNayJuOpoTGGo9xAnD6rNASQEegpvcKCDnttZ0p2mn8TKw1kD3IXVg2ZCEJkoO3/ntdV4HMBFRQ6sNOP0UNTd6mxr2MHJUBxTSY81fvEHtWdvaYckRTIRf4dLFBGfgOtWg1Jw8Js//N/rmOF/lPqytdaFh4WoX2h4//f/47FimSFETMp+2dvY36nOr4Sn4oufvptDPBZa8cSHNw9LzD3worcSgDcAdmrACzUOpCo6/pYFBOtlqLgpoPHGv3Svf33LHBDwh+BDIciCPBitGSgIIoIGBOulSv9T0Na9bqMWUyyQggIUCXVbldGa0mSGjNyZYKXQQoEranDAFGQHXLrqy3NGYwpAgcPlL6b4jjUnllX8V3W4CbFlT4fI3zyNrhiKox5UV02EbDXQ2MGdo4AyezuQyV5k5QFNmbnit09vyMlCBxgBQ1OClrCrGHFecWDOjWJbrw3i3GbUhrl7H39T2tOs8pOKYvJYDAjYERfAcsgQYOg0v9jx7U7xAHZw4NH1CrIVi2AgSy7dJ1z5E/Zbk58Ql8BpNULJ9CMdn3R+ndZIOwTkPnYIuylLsoRTtXnkXg1KXlTbyu8a7A5M6cVYvy7QNQxtvAAxh0dtrdpfrDgl+oBKyfX2ddoldOjcBqLYI+4zxesuzH23dHz41ClYpnJcCfadKvMYv9QIGVITnyltTvcE6zRtmakrtWDFNi+SNnyUE1UGA4yC2imsa9eeNPxfmuTcVQOo/NiJf1HvERPXb0Rk+EdehiYfCD1kuQdflb6pzRSmXgOPUn9sOz72qfO0GwH5mdPNM+S8H4fOWnnvgoxMoZnWaZwMaYNDCkGNyCZ64gZ1+MPy+E9johNRdE1R3B23Shti5pEN145Aj/WwqpH+CLpTzq8DZsAE5HGvKyN9ADtxDAMLi+HHd3l0ASIxaQj4Zt5XgZ2MKkGWW0n/opFa5IIi9e/ZNtFAMn24MyIu5W73FWsKReVMka6vTZqJPOOWGZofSchFOGOUzNOC8kyu9TyhvjX3BWcA0gCI2whiX8ZsZo163ODIERroEVCCDVqXVoY7SbQB0Th9x+k7CkkBREanh5LO00xjke1LCNYCm+tXq4S5/tvYlHHCH76BAmgmSZBIKE64MUsY5UNw88rYQDrIJSxMFgQdL4KjWhfZUgKALTM/+BSBbBb8nqVMPliAmQaKku4DNieFzLjCopa4jqTIVgZ1H+TFS85jTIxoukVlz12Mzpc1JtXs0TfMF+ElBWs9qVZQok9kxEeQiuBr6FOhIFuctj+ZVy29WTzu9Ek8lwqn+anJ71dWdcr0V0h2cV9Bgixz0RocO2MU91i1h51vdFKtmsh0ngLImP/yu1tvhF5WsQyr3FNlyr13tLxzF/1OaeZ1OGa/evC4thus4h55e/w3s+HpimWdKzz3wcTPcUUC6mH4y3xIyOo2V8eu4UDcPB2VY+Ik8Qai65+68j6uYMFDO0oO+BfuBl236YnKGNfnJppai8wSD/GiQLYZZRtOdueBDRU39SvibGKBIunEZlmNh3c1ZSCJeO7PBd6VxEEucVk7WobEKxrehrhFQSbBj0EX5OkXZ8stZjxlrVHZg2iIwO691UKM1K05TxS6ydIA2MXRHacaoKVJ7plvx/3bm3x3wAdio8AZhLqtwAUEPq2jMZmFWI+IJAb7SMO/8yko0JXRCTw7c7Mvxioop0BNDuFHgz3LtQWnYyuSQIR0QYAaG9GVBCtgCWz0UApFa7qBzDh3AzKSZ0gD4ZAjtrNPlWgWbdRIrIfMska44SiiqpRiaNMtImHdnY+VySAhHX0rw17s6OJBjjjI1CjzWYQKZzliT5qTpWZvflrOw+EwPA92Hs5nnBN6TXuuoXwAcXx758sspyyHFw5PMa8Clj00168DQFjhivWhAmOjUCGsPSxt/aqzm69GsxPb5Rf8WemW5yHFqHbkmCZ/XjO80aVS4KsMu2voUMOCHPD37/a+KWd4DaJ7yS367pfH5PAGZ1wMvPf/AhwvwCRdYHP+eDATYFjQZ3qSgw4zTLToZVYAjXih/Gmo4BKwgrQI9awi2Nhh9jaI+qdJtjABQlFpaCBuKCeaJJvkAsS8DhicQk4+SdWoKc/IOLS4R8t1hwJM8dFN+B4k7rBi9WYkRBYqDe/lS0Dl4uABjY2DyqeFuO6MgO0UsBUFqQto6jqIF6Fgm0U637csfpe516kKZJ4EQQsra0e8U1HOCVprQbui9zugdPDnGh111noA0PU7gTpFtyJvck+cmE7ecJxKyc85WdjNxaALD09w10Bl6AJ5GQl4SK2E4M7/xBFA1X94yEvTx3No4iRLqQ5oaKNaTvgnBLdecrm+RycY1DZ2mUs0bR8a7kiCUpkx1Z0wt0cWw+NHIfyc+O9uq1heoUI91Eiz9c5zhD1QnwZFi3/Sj6AGgHeXXwhfV5lznTuGtH4seSVuBxDat2i7tIERrXmRDsH5ddR4FyDh8NVHavFLZ1uZmaYnq+xDYzLY23yYWpYMgCRq8+g07mm5s6calaYpt6/2pynCdLh8/ULReZDvigit/ohxeLFS9rqI9zLz9pUIkFxnvacPanMtf7oE/DynkNUmfb9ADfBEAn3IvlQnJ049iwHLHrp3FnCWsLW7XbOaRuPoihfx0TDPsJlOY0zxgpclAfL8DmsnG6gQSQquUDtU8UVYKdwIQN+iuIsWZSQEugNFMHHPT9RIxsaTJmrACcrkYDFIFSIhJSASNyucl6sxrGQHMumvL6rZ1CTD1NXitpw/PbIu7rPrrxkwcVia63FFOGv2M2g4HYCPuoiKizMMxcGQ8JQfS1waGbZS/iwCtWzkBL+1x41UavmgFdQTaGvArk2JocOSH0zmbV+vOYKdFFvaZuSiojUfYS3bpvdnoFUfvQa3Nai5QvxRmIQEqd8gOmfYs/clK9MRa0T2yHZQhx4nAg8RIU2tvAP/OWcI6hWpqZpA+VjqU0K5gSyZu/J8cnAVWahYVeHZU/yINTLq2l6lnmW3UuOryXc2NRlBXJNT4dRhaeZZ962t6UVc0UNZpUy0pLdYhAwqFdHC6Csak01o0i+LC0FzwmssLsFST0YDc0pJV2wUC0/IBaoCmN1RzxosOQGuTxkJrBLWOehcWUHAFHHqyM5ip7Md+ncFCgZVWUN9QXNd6+eQBTb189DRw9cDq0Vf2sxV1mlGXJT+k1FfUl88xPfdxfMK3gbvlWVc/yMF2+HqflQHY4HXDN3SaKG4h39LVF7lbs7baZTJLJuoeoIfvbDbiEkk6fm7L28AYlpdkwniCBDQvUX0wAfgw3gweDFnXSOjIfYAbajTMUoVvAlAwDIw0S6S62Wj2GfocBapfbuDRXccdwozoZphWdIy2jDgxpXGAlhhBD8Fl+HgUw5ew1S48nzoFSgLHeGdPoUQB6INCzgkCBnQ1BSy0bgJniq68brflGG7UVDXnWFfUJIIBL8BU3DTm2u5ITUwIZSTIME0PD1rIRKlpY/w+WUAKhkQ7aL/PpX5phZIJ6xy8/ijGUXU3NJsOqc4KlKT9JOb8TlAR89ER91V5opA4laahLOEUiib57BCcYc0HjlG23ctEqNy6hFMpTVUCNq1O9+pOtNJyo5F/s/4gukDfhGPabH2w1tbu94HCHRznXjKJWn1NQa78B6FTg9zK66nXbbUwMnKR52+dp6C1e4mzwzLKP0ptok5Kk5GT1nqhNgCLu+56njZcxDuWZZZ2bO2HcwmW9qj1W2UtdK7yFwo10uY86Qi4vXT4dQE9azrlRO2qOkhaRuYVp5oiD4QCtyrzm19uZj7mur8fn0svr2r//KbnXuOTYMSdC7n2DcV2IoKwSXh7MRHt7ncxZZqYDOuxbQ1eCjICDd01pV2bItrmxaforAvp0KsTXi7hnWYbcMel9aG7swxoDpoy2yjwotb/ZuBR5OZzQm6wlVqEdCH9CKZklkjbvwSkTri4J4MSWIsi1EuBA0PERREgqDr7qZxhFRcHHgH0wlzZIhjDMvowCBIVvRmOupQUHg7OcNgWEnEMmVSC5nElBrJdLs0U2z+aKU0CNLpn6dsi4GOdvgQGAt8pEw9zB148P4VGe2gS0JAphmakNlq6JiLLl0Bvu3e4QZM3tStAOjnGTn/k+D1hjKWYTwVGorszW6d2Cszm2uktFCDhVCv9okOaxDyiyPd0Wk4anX5Kq0w/cv2P9smxWCAqSxMqWmVXo4McsgnuGm0bOsjpjPY83os2aCMAB9wmEqq7NLqtcsjP6jieNff1U/b3IC0WX7b2sAMGlVU+NWsJkMMuabTMzZggi5JD79RCqGETrbO5Hcwk7Ro/4HqSNnHZMol/d5K3NkGUyg72oWm0aK/l6yrVDpk6wY4lGE70XyfEUUP3ClLr8zn55cf1fdQ43MiqpXAr3Xz0OXXsjZGee+AjNaiubNL66wJGVwmkpqEJ6hTioO+BgT42XkfeXbDGYD55w7M8ICTEyr9BC+OOQmymGr0/b35Fsp9Ax+wt+zQpLQ0UwC2v2h+qdwILIIQYBXWa/proEiDTLnio3tQqOU154ZdiLs1QqRCbeIyWSGiRNqVW74YQRzWygCGA5VJX/c/a/wePNE8LoGge4GDn2OT9UMnjBJioBWwgx9BOS2WFuutsUpizDM4FcXy1dxdD98iru26HjoYlDw1BvoteVoI+57AEN8tQdQLCmccTmXbRF+DC29gIoHoxfwnpbi6VwifjU5mAYYsxIBVjzjb1S2bA6lciCsGJPFIfP6eCDCWAM9RBK7effppJDKPMs9Y/zS+C0lnlwLvwX7Uyqs/ZI5l6kycIvCxSuJfFzZEJqI7C9l0oiw4p/EsQnymqV4Rkio45Zux30K+vDtYlupF29RrnV6NxsJi2xhIQVQcSbOQkbGs0+5eTLMs++Am3rEdw0+b98ntb/dbabygznPcS2rstfy/tsv3Wnt6DNdaxWmnZ1+HhhYt2HNMVofT7+d2l9X7I6TfeSvB44DlAzZcbLftCxj/PPfCRwBw0S+weQAOG1AwMB8aQJiaU3YPRaLQSjf8lU52yyyM5d+xaCEoMjIbsUPRTuPG0SogtTZ6I66PCZgoKB7B5qN53r5NcukNKgqszhLsECOwnY+j03bc5r4BwxxZnuVPgd0dGzWxaveLkmcDUEJDybL8cTDcrwJj6JAfV4qzDDXLQLp8Mqr1HtddBc17HRMmYo2AjnTPeUtd6SIDGUTs46AzcjbwU5gEcDT4YwYeajyK0wX1UfB9pchCdd2nMXMBxQnd16T6r5MkrJ2Z+pKawM6ucFUfZJTDGsRzKl3zcs+lA0EBanLyQVNpC/laCX5yTJ82SB6pAhxOuCRxnHxqX7Ten12aji0bnKbIS1KZ5qp5n0Ey6kLvMtgUR5Ozc5xKsTmllx7yEepfZBbrWvwEKa75p7IJLxNoN3NLAgdqDCfNBYHwYfGsQx1pf+vguwjbhC8tX3jbAfPlKIHlS17O+uoInJ0XT6BTUC4BR6z3b4eBmqLUlSW/LgY/0s+qCeUEyTchb+codsUHN/QoXcHyu9p3Bx/HLUXyfNSzyx/Il/wVIaH076XsauMhfNS/vaeezAotb+qGlnZffb7x3dWzu3hKf5enrm5574JOqZWlOAGCSIRNoDK5QLe7hRrPKiNMnZN51IV/8/w6McrrUJ78QLmC0E1rMMKRZAlJYZbwgo5T2WkBjxF1Y4acgXRBNc52fAnlSLcGOzzTBw1tbrHxd8lgxd8jd5ykaSd1VMjJpPxgDx8qBV8EHZRJLR2DVSyERAgzI4/LanTvq1FLIhNQ4xE3rTTJQwEm7sHAQnQcn2JQQpPpr3QphJHgKUMuI0SxuJ+uOq0x0iq2ckfcmyKoZBGHIayqzcSnyHOl/ZqCWqMmx4qVWf5O9RRlqR2BOF46C/KMAPQ+a7hJCbT46EPeSEU1MX3OIVjuQms4FcqvvkCBvjtocyFgHoH+YsZ8aZJl+6rc6LV4XrKazbT9d5I66loLm1moZhEU1t2RW60LXvX1JcFAQSOV1rJxCObW7BGC5RqNcI4+Bb0kblZufamH0FuSaXExX2WZpp8/gAKQzln6JwPVb1YucX5598xoX1Dim5g6rM3wSpTfSVqfkDvK8/e0mP2TdGhcvgiiLr9VEf/sPttDMeu6Wz5fntwS1Xde51OeHvq91l6/auaL7jGJrLy5b9kzg4jL/jQKOdT+knnP5z9rCz1967oHPxtMeT3Lij9AyUFhsmtU8ORXM0Uqj3NT4sflXdFL53HBJayUP+vI44L7jjndgaXFIOIS8n8mbdK2GeZ1d0Smq0CaEzNat8GK1ecK3CZSQ7TL9eGKAdFB2lUEmBwOmWLFi8oCapQaU2vpVP7Ym5KDTXlYsXIw7fqO2qER/5SHDy7gyUrTkESLHPhH2PTajzDwTyy6xcbYBBxgzRk5Km/H0nkATCtAKaIHjMa1O9QWANMboAWww/GSu7T3B2pR2pY1fMHTSdHZPs/hUoHEFHRK6Oo0GNHOY7h1D+Km1ozeN1zezTjNVRDnqW9EshRsXQcbxoTNVLwrOU4bofkcl1OR/ZUDRytRrS8oD/WTdwYHYBYIEcqKMuokdCYYyhlADXFqnGsNsxiKrdFVMugljo4ayBCcPA1hpQUXkZuwuc7qGooEc5Vx1CGrIwelXbc4WlJi0XHeaP44D1VCQKd+K+SWC5jMUUfJnQ/r8qD5oDbOsBD2WPjza8MgMRtZzcNta0UfSg2ulVsQqNHtfTr3tKMav3+sA6Px/5ORIfH2g5TVA8uXvbbCwrunSIh1+Tp5wTseybfnul/l6yZe/3sIm92l7bjw6/3Tj/TdAeu6Bj07eTGOUXcU4gaeZJU7XcHk0jtjvG8r4IwBs0H9BJ8I89vWegGOWSYYz9A4WmgOakEJYWObbuGCHjYj0TK/cQaaiZRVRp6u9td4HeRVv1tYS4i54WSW2Aoc8Wi9wMuM93eqe4Ix3FK0+QV4gEcgjx7WxzILbYQ3da6Zv3V/C0x5jRuEjTQ1C6xIDyjp4pDrvAXNmF6dNfh66A58TsJHC+sjgqz80FYoJuue4J/1m+PcY2zopDAz0KRPzT6DsTTAWa0/W2UxCjqKPU3rnTjy1Y0GLuUuoUxilRvFgXugCkGUgnzN/x0XeHnsz1Q1paOgnpmdNeHYFXI4xCZc+cdbLqDg6cXpPbS2QX8ILqV2cjZbI8mNABBx04rGb9/LEnd7MCRnrUg7Ulii+hHunWH26EFiiAWmj9WW5nusY/FJMlmT53tkfZKVf1pc7ISwDKTO9qLjCr0Q3rQlVRlLddQlzb0Uz+WcfYhL3ud3nfM47K56b/pf5SBr5ImKE9agxPPWz8ZcOEnPO34Aa9W7x2eJu61gc3jp9OyWvPI3FHGBSb5vlH2m8bgGK4/rSr09pUSulMffLdLukK0p8IaXn/zg7EMwh70KKfxtNRlZHgqCdUJh6HFNRjxHaHlAgih3rO4x3WnHxhCA0GE/G3LknQDKUIFVNigFU5ihPU5xn6wiQQOdqxHFSWKjWXWUggJ2CNeYdVV47xLx41FQ3l57L5o9FADrqqHK0PYItTlv3lAYtQH1j+weJ19XsbGf02ylswhwyEL5KGaAQwQTkx2oGjoc1pk9Nm7GH0xbwo/E3BvnxKWYooFA0ljaojFI6nVfBA3UNiXo5Kcx1Bxtowkq3WWpl+ikUkypONKHJRICp15D94LQZYs1eZO27c5kTFWVbF9Z2NpcgymVyi+918swRE2hm203zz2cEyXTlXZtbFVV/1a++BoYa7jWPBNYGmpYS5QsWc5RjJ+Ep4dLoZjk/2mBJc5HTscxs8tvRb/GvPKLTVEOtTwnEVjzaXGLeLvC0Ger6B9O4QvOuyvT8Xy1Izfn+/wKS/Yn+G/me5dIcNItbEcOSUjkXixJNRoqu/Nesd5wmh3JR31MbJNo3WnLZVL9PaeUryatajnVF1Xtn/UrV4uzbGU6s09mXty5Kexr+ufmsLWLc6sOajnClA7wHp3u0OkdaHEt9SC3P0JLPe3ruNT47QDATO9MNljc9hyAdGZsEqB3yMN3DFfv03ep01PS6u8sGHW8dSzkhpKQ9oKbIos6xWR6z3lAMNw8HUUB01T9SixOSbHhNrGliuAUuhsthWotB1y4U0wF0BgUYY2RwRcCbacAqTh3ETJWsdrGoi1NjMxaAbLp8mgDF/zEY20efIlOQxOx63I9kAqOkZ6ocaj+XQmMU497QBE7vLst23hQbfkGW5rUQHtKERDt3hF/PcnClxCymS3sV15kYSe5eGiOQRncuJhdEmvwsYV/amRLY6Z/TmXTHRUA+75tgcc8ynHr2v83SJkQ9/a3C392BUQDFEFeg9HmabFOaEv3ADklb0ryaICdyNdQP7ZC5dhFo3OmbHMasAKneDWfdJjza/HWWa+33mhKlsbTm21T75tGWiwM0JxrnyhH4pMovf9P49XVTKXeeZokspJ3pwrpGCSu4Q9HCs0ekATWZNTe8D9qp7JiM5b5sVpV5rkEsdVSnklktfVfylnltZdN2WMuc7SztTc7e3q6sovct6NnH+n4gcQQM1ZBLMFMs6dyHm+UfPx7z18I9auKO8OSpfTlluPXG0+DV0157he+/AdJrrvH5iZ/4CZgZfvAHfzB/+8M//EO89NJLeMc73oEv//Ivx3d+53fiE5/4xPLeRz/6Ubzvfe/Dl37pl+Kd73wnfviHfxhPnjx55vq3JqrjMk+H2QwTBRl5+mKYJeCZcDzxNFglUxx56iqQkITQzlNAYwKbW9Y7UCeohuqikInTY2EG0268m4i0w4wUi7PYUml34hJVwxJlt1BU5DfAaOIJEGKL2jpOegWTH9qFtZ0d3ZfIHhXLqNrbZHz2c7gzIrUnvTcGhnSovtIiAMAcFqekORYbgpab+mkReDHNac72eAmLIHFd6JrtFfDgb9IudbOQgJQATPRl5GehW6P5qvs2AMWkpmyH3gBdgpGmxWoCxUnIbZS2Cf2TigQgsVjaIYNOkCVNl/kUglAgTVMqrvWgj5FbOgdnpzhJ0lzncfqxAywjPUwaI482hxZpZr8d5RR+DnTo+a8EXAxETmUX5Y5vYvlUWg1AcKDJ0YjXRKBcoSe44sya7F41HmfZaK38DrTq4uHK3kVZF7ULSoLA1ZWGwnv/VIJU0YIGVvNZgUpb6861qh/LD2VaRNLDYh3ov6bxKQ2V6ZU2CFbloMbAobncN2ydwK1Iw2LuX583DXz7DS23H97y0++W81Oa3j6/cHgXpvnf8+Gc76q91a3LzzlW96mPrtrUfj+/eUHXp6TjG1+4EOc6vabA59d//dfxz//5P8ef/tN/evn9h37oh/BLv/RL+MVf/EV86EMfwu/+7u/iO77jO/L5vu943/veh8985jP41V/9Vfzcz/0cfvZnfxY/+qM/+sxtSAENZKyc3PhY91dxAgj+s9DpPAFKwnqUEUfGJ9z3OGJugI2BuzFw11S3ugiTV0JRIBIcmB/MBPHSDi8tDGj6oVYksNZIPx8xDmQ+XX1BsJIMK/KJHcuENMwyhg2omdmwOiIDEv7SQnBJuMwnBDaHXYBTmFuCFcOd+mWGMUaamKI7JfrMy8RBfMmSubulYJUvR5rshAw0ZFi1HTI16ii+N4E9Z4y7AvTNWcC1HzU2mYaQBiAAVsd6pwToKEEKMXhSR4CKjRgxneo0XdKFQouToYuSmqss0OpdgZRO3865hiQP6S5R5xJYuUaoAW3gbdVbOAGmE0SJThLKnUZIMDQPjp26PT3ZNitTf2aCE8ty1e42HSHNo9a35msFLq06NB5aq8jPlkBUeUu0d2im9bTCrvJIuhKIVhWphyuaxbGVei3lbKvvWG6ZohKTIDspunFuij/kY1ReW4q21l6EWX15gVlGH6MGfhrL0OeikSXdNLOu8M+i7+l11zTGSu+Wv83YhcSHt9axsgt6H5K1fK0912UdOnTIc1819z46PbgCy8f/PyBdZDz34BUV84ZJrxnw+X//7//hu77ru/Av/sW/wFd+5Vfm7y+//DL+5b/8l/iH//Af4i/+xb+Ib/zGb8TP/MzP4Fd/9Vfxa7/2awCA//Sf/hP+5//8n/hX/+pf4Ru+4Rvwl//yX8Y/+Af/AD/1Uz+Fz3zmM8/UDkf493TTjXYf0s1vxmsf+HzC82oDG57XS2g37Ji4szBxhZlrYviEGKoCnE1nKPnh6bwngTw9mMWwZjaDY9B1BzQL6Ri5ITRRdzTXGZGFZdh4ABammUlzjezn0T8KRkrXO4sozgIBg5HntzHoIwRqv3hr/OE3QGYqFJgxq7bwqozcnVppqGTXGazUYDwVF5qvDOYIJHPrjNWHwF1ja8WfA3w4gxhOpO9VupxPA2YxcEtzFQWDwIjGci7sDQmkZryr+7pKO8LhkEAnYNJ7KUa5y4zDahKWnkBYeHuwnNVdNCc4aZhkT2d1bItkQIJZkUxADke/IpUtcV99Tv8fDuNsrQpQI5BUZgKnn9CiTappkd1Y/zbgluYWwDMc+AECNPywtBm15rQRABjNXXjACmgDBUBzbqZAC3jlmS8oLsDTa/WESIf2iHCHPnTx7vDyk1mwVQcK/f0Cvh21FC0s+1JFHbRB2iyheOSCgNpGJDdAmSW2CL2cErUH8CNiHADMmmpNdwr24JqtoGxf5u3q1xy1jr7WMm4K6AsQtk7U/qXWxZLder5jnw5lHtt/mVYecARZ9f/zL0tX7q3jDNuvc78SOPTGSK8Z8HnppZfwvve9D9/2bd+2/P6Rj3wEn/3sZ5ffv/ZrvxZf8zVfgw9/+MMAgA9/+MP4+q//erzrXe/KPO9973vxqU99Cr/1W791Wd+nP/1pfOpTn1r+AZILltoJz2ufjUJHMWBi57pjRmweCfkEREggYVZakFiQ5SfkzOc2YaNUw7pPK5yWw19i5+IJAVdOx9LeCLyk9gPgAneagaLS4iEGUNMgUKa7wNT2HglX12IIvMCAnZJoG6WtkBA24z1m/M3nTCfhrpyXo7Ll96BL+vEgNFtPxNfdw7wFAkxyVKcWCI4Ek2SlND1Fw6uumYEqxXRlrEzBRL4xCLYUdDDcfSzNOBnMD2GqzHADMBra2E7xWIEr0rgGRQKQ2qzhuRsOQU39gGfPOC8JpobqRZouIj/i1IfQkUAaUNoneGoBujYg3XX56rVSvwX/y/qUfyZ9CgzpKgk78FQKBIKkKXtizQzEjJ61hiAH4Zr3GsE965VTvPSA1OLYSAEpPymBO2ngFsfdJqwEpseIzUS1LsrLzUnKal/qgZW4WDVjXfD4+jnNMuJG7eco/HJs+rg3MsdHq/HW2gNWcJatLLVQ60v9lECngZUEOFkG1ndZrjRtC/w7gZf43fNvAZkVefS/nZIH6hiKb6D60jyfLmrvxWouFUZdf9FvFxq9i67dwk33gobjMB3eXkbwQdjjArYcXrxBlWcv9wskvSbOzb/wC7+A3/iN38Cv//qvn559/OMfx5vf/GZ8xVd8xfL7u971Lnz84x/PPB306LmeXaUf//Efx4/92I+dfjev6wc2br8lODYyyt0HNfy6kDQGdLiEGBkqVqEm8SI/oSF/iRELbzjKEdn6jeQEJMOw5x1PEtW8M8v7YrWMNq0bD2BhKpJ2Jk1o7HM/EeaO2Cl7BRhEti36E0K+gRp2M7UXYEHKm2qF+DliC0ZmI23KIbUED4uHOjzhuBshPAUMlSVPXln0d/I6EHJejm/RSP4jAxLu0ZgpIeFC+gR38GRsYzQzRuf9BBO6JRwWgG+YQxG5wzQ3sNOvKO7+qksuWRBNa+WOyiGIz8MjiKDHfEgQo/Fz1u0Tcqr11pfQ/glkeAonwp8GsJrpkHRUiIDJHw2KbyV/lS5YvARExs7p34MuG8q51HEAApyAGsa8/yvXScULMuCgybHsjfyuYswc5m1iGUGK5gDHudM2tRU512U+5VqSijOmH3+rlmntZTBRCGILInGzAVXGlaEN09JLrd4kRf9fTqO6tlbEa7TxFo1Z1KqpnwI+NhMuFzR2fhaAaXTsrraqq2tjo+wDzGt8QxnnUbVnSxGaPoss7WLVW8YAuNAEbnm7D+RVdYd5nG28Ifb90Ib8v8br8N4FDjiFIbjCCqeiLPt2zH56faGXX7WqY+PesPub8AUMah6SXnWNz8c+9jH8rb/1t/Cv//W/xpd8yZe82sXfTB/4wAfw8ssv57+PfexjAIrZCRwES5owm7znx/Nwhpjp5Co0xCK2FJcOG8irEUIT5HRQJqN1o69M+PHcmRw6Ae3uyBIx6VAMoPieF2MJRhrP4xg7s5qEZySBsQA9vmipczeTfhTB+BV4MB0M2f9NzBLxfbAuMW9piVS4Wfg8rdGp9Yz1tvrF8DcP2qUmKcGf6tOgOMxn+LO4FmjklcOzBIglra0BMKQwj9rDNVoxc7Ab4IO+X1MYJY+BZxRZa2URkcRY1xjEnCgTR402wxZYb0OZpHbo1nNR0BeBVnxWgGckfROo8VntzlGnF7tgIojSe6EkLH+PHF2hrW5C0NwV9mI2XeA7XT2OB4N0ypKb6Urv595cNkHmse7grfZmGd4Gl31wgYDodDrimueaqBFpfiyigehoVsDXeJihSYXsYR+folrNFWt1NGFc7WhPTJRQL/v8QcvryzhVATVvCj5VxgRei/aooEHdNdcJylVlOaLZzzqC3uaNpl2bL0li5e1o55BWM1b/fIQe2ij28noe8pHD+HhqWBvntCsat9+OtF4Az9Hw7MtfX2tq/Vy/XwKbK8zhx3G48f49OOuC7DfSVU3PV3rVgc9HPvIRfPKTn8Sf/bN/Fnd3d7i7u8OHPvQh/JN/8k9wd3eHd73rXfjMZz6D3//931/e+8QnPoF3v/vdAIB3v/vdp1Ne+q48x/SWt7wFL7zwwvIvEtGz0RnRBu6whfADCAKcsXMcGNolBjNI52j51DgAn2H+iNLTBwZUs28AxuRlll5Mb8DKsRZS1cezSZfmbVCzNKpsQKebgDsnaGBecZ3NQrAOAjMV7BaOxHcWp4WA8OMJsMH2UvCN6nZjsN28VxAQ0G4/lv8uXxEKqenIE2QyF8ECDG7yY4IYQe3UMnloxCIwYwAFmd/iMTU0FpqKaQPwAV0/YAtsLMY7ET5QcrjOGEaQrPf2D2GW9BCsabi0cplPVshpJpksBp3ssAEy+W7J3wpW5URfDgxNIIf/8sf8f9Eyma1jEdg4tLcN48KgU/6VPSf6l+N6cPxMMIoCLsrcxIgATgLJKC0AE+o9a+EEUkwZKl+umMbkJaVy7hp0AqyAYffdqXItR6sEeZ2GI83yt66lKfHXNbbId6ES0yReaOkpYsVbX3xtX9VjnDd2+L1oUS0tkZ1wJxc551ECtQZ0Vb6lsXWt6wCKFrDBso8AJPP2diypnMeXhvdy0YBFjtNV8nPH8+02FCrzAjR0SCltJg59kka1OP11m8Rj9Hl5cKj1CMguMl4/u+jrde7PDdqsff3CS6868PlLf+kv4Td/8zfx3//7f89/3/RN34Tv+q7vys9vetOb8MEPfjDf+Z3f+R189KMfxYsvvggAePHFF/Gbv/mb+OQnP5l5fuVXfgUvvPAC3vOe9zxbg6jC9Tly0cZFneG/k9czMHs6PQLFFMAl7yUTSqmcrASDS2BKZZBCoe3UZNqKbSrMJoYBb0aYOaR6thTdBBwm5kSQQ2GxueFNY9AhN96LIqwErzf/iLZow5E4olnXaTOZbgR4yqchm22NDrb693S/JLUjTo4Vw0hzockUg2SSECjhg16fBLB2zVLtwuJKkieuyLIWDs6zQJccjZeYNqQHZXCYd7KRpmENEAbHnBOK0aNHgDG6I2jW0/sc6ybUVXQZ1dDaxH6Z53yUAA7A05mME+SsNJxo46v5lsRzzjfknFa9GRNKQKDzUAf8IJ2c4KcsVBbRvqe0YZYk6Nw+6xTdEWBwulZY0Cq1cVqxvjcPICRAPYqffIMgaZoFiNSwZtc0Lsh3UvuImsNKXbORn02aDwZEEChqBC6g1MdYpayjYEn71WwkbUauk+bnZTnIXRC1AS6KtPKQfK3y9e8mZc9alFU5vQWt8ZDudQWC1kcm55hoWLC4hLEd2qQxO2lx2t+c89k/W54VIFs/1DNb3uv06eBHP9hSyuGdpXW307lNasehfL/WHh1fNRXawNVVy+5ty4300HK+UNKr7uPz1re+FV/3dV+3/PZlX/ZleMc73pG/f+/3fi/e//734+1vfzteeOEF/MAP/ABefPFFfOu3fisA4Nu//dvxnve8B9/93d+Nn/zJn8THP/5x/MiP/AheeuklvOUtb3mm9tzlrkjABAAiLkwIvQHFfCFESf+ECd34rUXHaZ4rkGpiB9wGmSdr8e4P4LxnKWMD4w4jfW8mIv5PLjunGKDzweZ1weZdVJYLrkBI7Eh2l8an/HWk6chTVyhzGyyAlYOXcdJBJnyggheIOrvrPiPUMXjeH+VHCE37YcpcBMDcUfXJH2nhw86ytNgj5kCQe3bBLXDkFDDdxOcJYLugG84xnJa2LFU9WJcTbQlghU+VQxdPynQnDZfassGw+wwg7XLEVlBHwh1ylzDHzZTEAn6AU7OUMBKdJZkFDQpLePWv71rl5GUBamGlzcu6BN6cwljM8igInXM4ZZxOsUkmk9O2QXSUY7i1eZEB9GwkeJR2suIjq9v9ILxAwQp4kkpJJn1wlE9dzZkCnUAJZPGB45rqjtLlz1OCtTdWeCLhSM4VDHn+lAawi9d1hJFzNscKfeDaCxzDAyyCtX6pl6vnh9qQBeX8PPepazJEx6q3oFD5AvlpLOqz6Fyz9lQl+27001t7V6OrV3q/+X7OSb1Qbcwfa/pn8laJJ+M4Gvnqw6Xm5la/noYqbjwvUl40+NCOq/rIUa7bdbNRV3lvpSMRH/TSGyK9LpGb/9E/+kcYY+A7v/M78elPfxrvfe978dM//dP5fNs2/PIv/zK+7/u+Dy+++CK+7Mu+DN/zPd+Dv//3//6zVzbjpI2OcwNilGImE3duqEsaNVUYqM1KM6K7uUJTUA672vkCgBEmzPSP8FSTbxBwGMns55y5ox9sr7ddIFBMNfa82jnRediKGYR2gwxYv1MmbWYEX8fzDZ6qeAksFdp3yCEQQphsiH87j3Pn3WUCYZD/UK1Mc8DGKKEuDZW0aikAw4fEqWayVlb6r6A0U3KDrVhDju5Z6fTDMRuYI8CJDb1nCWQc0d8NERJATrASMpoek86+0mhNPp/wAgICOE1TIlmgPOr3JNA08JSfEfxpPA7T2RooE5gyI06ApUlWzHIBHvw72ucw+xRdNWSOGIsKeKkyCkh0MOSFtdJnThOzC6votHNdcR7Ako6edPMCUMYTmS6ol+7NHGON18y2wGMeSnjGe9ycaFjbExaUbUidhgG6UsVQFsD+rDQYK3wQoaK8kaXmus75Yiii8rdFaIvclvPoDHmuZOwKALw59C6OxAl8/SBMDXmvWIIZFDjueMm1hmuECnF6Nm6FKtXa3u511h9hz6HZxy+Z7RooaD7ewhJ+eGFqvi8gc23+2rpjQfHUT4+OlZ8bcx+O8OvKbn28SPcjsqfhNcOZN63pjY2CzM+33z0X6VOf+hTe9ra34c9+1VdiN8P0gTfBsGFSUAOYE3cjBLiP8vfQJaM8MJ6ROhwMbCgBDYIgSIPBSc4dtyM0OXPhETFhNoz0WRATuovHLTYt35OmgwxKsYaCnVZgQjGekUIzatwGhQIoUB3kuvQrkuBCAwRwjFECfTZ0F8EXgdoPBcffIedKCnUJBIHJxf/IStsTFSBUMGQLw5B3m1G46Mb4kqRGhVDQPJx0o9BpHGe2zSzMHpMBmtIixfpt0OtktBvZ6RM1LUbDzNMROfrL60IsfJwO8j60hnzXPfJn893jYnUvR99dWrodeYmmtIc+w2k+hpgAVYCh3dCekCF9nQRmC0RGkwSSRIeWHyvAKhgi4VJajYhBVOtOsZ1kNkjrgWRgA2zNjYg1W4FD+uFok9AlsjQoCbSy7hIIRt+sApugpjJ+lMYulSkpxGRODgfpYeVbNhj5fAxGMbZmerb1N5nBFME97tYjnOJY1GkyW0BO8YlxaJwVnTSHlHfWvIh4SjPXukyDibNyPGt+rc71JbaqjpyNa71e7wlwxvyrfzMbAZQmF6n1K/Mmga6rTdl41kW+yueWv1VbqyEdHHjrENbU6Nu1ONaeJVA5aY9aHScpuiKQJdsicks76v09X4vsmqw+JXpdx9+9lbU8amN2au3S51vPb+Q5tOn8zrme67Irvfzyy81f99VLr1kcnzdKmg68eQxsg4I5BbEvzB0GanFi2sc1BTpBcmC40K4xfh+jmW04YzcwBpCYXSZqCsAj0agrMCTMgJoDm4G79irDESBLgCzjA4XEaje314w3Csmdwng6YLbBwd8ELFwmIwlVK4ZCkBQfY+pI+IP9NehUjGOzuHNLPj9FowAq4iNDAmqEw3VElO6BHVESTg4birjIr3GLe/iMxNUNozaAHCtjm8LdRYCoCu/GQf0/GYFRg5VCl3PCo/13tir+u16t91OjK/NcDK2lE3zy1zwBiAR/MJrdHGjGyqYJc2Vmv9gKCX8KCWfD5RyO9nrONM190src6DPFf17Vic6pgeH7J+bnrQ7STyBfUBkegQNcYzT5kjcfH9JUAla193ARUf9s4Q6QmsPSmmoca873U3m9qIoCjSWH6NFjDumJLTnapxom0qL9W973RtfIEL31GneVbMAS5yq1OGiV9AYm02s11H/reywf/V3NzsN77VVfcq88MMtu+ci+YppYTRZN3aVWOwvec/m99KXKJWVN/bVqUZV5fNevv3YgmHhv4QkHWpjecZwrOVd2K8eD01OquE3Xq9Y8ayVvjPTcX1IKszDJkLlJU5NHmnWKymXyARS8DJhprtkSUAwocBoccexWwmSQgUw6EyNQlY6Pa2KX8AsG5dNxNyyPNoc/Rgi4gRHxfghaNvq/ZMh+0DSDiAJtrnZYcos97xyzZVdcDL1+22iOmq21dapD2iS+Y1g+s1vR7jEY/To4WfDO+C8uVeWllx6apY1t8MzXysO5z9oBCRgluDHAGFdFgMwMeZu7TJAxTggtVFMqyPwQoK0hAi8dWsyjJoDYRwE4z3Z7uaroWe5GS/A7OI+mFxCgEBOAKDNHearlFps0gwE+ZwpplpSSw9rXZOSmgfQUrAv/da8NA0GDdksiT2fuRk1eH0DNo+qPBFD1a10ZSMEmU7K10iwetyY2XwxqB9PM54C1Duki3msR48uPlhNXwKP+5IlAyzdT02V9P9nmvVjAaO/AD6ZH/pbaLixF1Xjpt9wwZYnVMw2O5kg+bpo/oyePppQdivGE11VDo7H4YzTLl45EUSrQ29o4gJFD3/MVtMY0c5yzL8riS3uZZyms06LeSVIuABFIs9bJHlbl9ee9qcu8WspWhrXvud7aLw8BHseyr9+qTGsVF21Y3lrLe1B7Tmn1LLt6/nqm517jI8F4Z7qzKs5S7/AwawABbIA8wSK1KyDAVIK4FmkI7FqXlpGUYTSpkCveEciIoUW22EUPnSaavFpCx+7JLB06El+BDVewYsm8BhSI78CrDXnUHR6apjyOzzJMzylwMsaLMV7NLN8nlW9ZhpOv1aWsgwx+o/ZBgMa5+ENTUkxV6viiLtgvmbxMh6eCeuyfjuXq9JmA1jqGFZEZ6oMXwAoZ3MGCxyk5xnvSHFBZGwxjWpn0vC76nFLxC15YE9KexUddw8rrmJkFNDPjAmKK/gIzaE+ywlCcQIAsmZ814YnQNua21BpAaE7fkNzXe124JeCJR5uJBXcBWJmk7auwK0foIV1KwpuU2z2PzBsKL9DnZJ564qTL+bWQ33M88mRR0zDk+ykzvf0DdOmunpZPndYnNyxoAN4KNKP93kMeFI1xAD1tpuYcVme8hG9f8J22VoEbRIusRz1MgIeljFWbeBgvbSCyDyuXXLlmf9cOnUCNd3Wx0ShyrGPYyGG9nOJdrYPL8z6prSo4NE+0sHzsF+WJBsduncX6fYLe1lwPwARrM46TolHrFh66kfyi9fdkvzfd341XWuqrk5574GNGTx2ePtoAbAI6ZGYyVQ0DrxTw1BJoV5fxa30iQ/MDuLOIkROOmgIZ8VzOm0QFZM4yf7VLHc3ydFcyCQ8fATGhAUWaZv62c95guEutSQEU9UPB+MToY8oVAANBCrwYwaCgyrgrGaZ2XaQDiLoN6YMy2Mad0sgqcl/QxcKkcGfAGBRbNnhjdolShysqQNRltasGQqtkAMrmrzS45qMNIegstREbyowAAPtc/Q6M4DjNAA7YjOCUYpd1lxfSr8LgSUeN42B/5ccQWi2Nn13ETfI0zwgCeC8SCi/QgE4ycb4XYcR59QpFCi2DXaN2NIfkjOA0DAFOIJHAUcJJSIYgwBJ+5BzJcVm8nqP+Arr6TVdelIkzW9UFkZLJ0dwTgErzEKbbKDkjbjd6doAzc+uvX/pYYJm/+j1lqtb9hUyXhrNTd4WpzTR0kJwFsrG84WIwVr/056Wd6e05mNx6B1BQs1pwkuz1N9FlrQvWvJZh1YeLCRYfW78171ZgY4fPNQZqj68N599aO1Vqa9ghe3/W61vA1OGQgq+DtpZ5Qb4FFPZyTyXcatw5nd7V0ruvXGW9GhKxk8P71yDuAe15Dd54NdNzD3wmHLs5j1s7gD2BwAADBEobM0ttSbGUQi3FhYXpSGthZ6DCQfSgE1oyI8V/WwnALMlTKAGoI8JZj2O3iR19IfJNd8yIVFhgnyeBBn1kmnhDREPsznPUYiWTjnI2D+2ObqDfuFOUyWgQRDgl6OYSjCOZohysp3vevyXJIyGjdvQjzC5NFzcpitwLaqcEGBWtWVeEFL1Eh2JNnY379Pjnllouj4phjNw8vE7kpXmFwjTAqmc/QoPUBGX2vWgg49ikmS4BsUfAzABTFeG4QCv9pppJYt2U1vhZNIh953jqfgaEWWA202yQdBX/BZlKA9bgS7yb66fAMPR+a1yPcdRNMEH/KK0748e0dv4+L8o5ClBbNAzVj4PAS/tztoZ9qoslavZUjC9w7QlwxRwo0GytpMQRLbZOLjl4gh/rDxbwgZyLnfZ+kOjxumbGKor0urRpi9Rc5LejgGf1Q75qS3nVm96CHOdFA6iPxx/98PsJ6KzpUpuSD68QTvtoK2hasxzKlQqWa8Mv+3BITbu3jh/XOJdA1X8eh6U7dqDBUwCLtzw304E/3C7pHsDxAMAVpby+oOXVSM898Bnkf7sFCBrDCCZqQUckXvoAuWFHXdwZDC/ZRLCE0fQF5nDdDdCcZ/LWciB32jpNFHdO6TJSgg4ogB7wJgq1YZYRm7WAYxdex/O1iCLib3PwdIEhfQF3qAO6d6wEKu/wGpbaiAkBPmBzw52NVC5kDKSuPQoJ0D43+g2kpir5kI24xJX0dZSGy5ofi8Py+I97RPqtwHA0N1nkU6BH15hSXqdTMYWDk2jSZNTmtMSivG9MA9fbo9p1yoampdL8WJIj7uxSosj1zsvLR8yxMl/XuHixmjwGn2a8JvCStsao13oyWk7LOjVBddIqBaKdRezC+lMAmiR1d5+APARK+1VAZ2kn29o6lxuHGK8V9hTeKhCqp3HprAAO/1nvQU1PXZRqVqOZrbf6qxNqRtCxBh+slFPb1t9yLbS3zsCC42Stb1Z5k3e0t1JL2MoALJ2bnQ2oTUFRrTey4miV6XglRevrpRbq+MNB2NtT8twrQgtUVCgFLCAo50abYzUD1/c6wDmC/vPAWfsc+erCVV/yiip+pIz1evT9SOTe1+Mv699juirloU9vPvZzfddZn1L+F0B67oGPITy4x3RsNvBZNzyBmHsEFnRHahgCbACapmH+qgkbG984A9VPKzmQfjMjd6vetEBkyi7TU+1cVadRZIQ8KqblQ/chHT0gWh/tIJRGrdtk4DAe/+azUYHZJhGAmOYTV+BCRcH1pI9kg0wdEI0ESPg3QFszq0iYjNAoZaRqmcIgZhv9yxgyFCBmAza2zKfrHTQuFLcY2KCAdJTtBERtWTvgU06aqF29RbvlxK2TTJ4AiDoCC1+mjWXLR0zxf3Qn2EgNU8wbxf/pwDlO2dWcMWBxDC+6tnmtL91hU8LVUGakwqEAT9I5kOab8Heq2NspZDtIsQLp3gCXe4HKEgDaVBTQWJi4V1s0w1Ij4hr5LIFtiRfLaZtUagAh5u1Bc4MD4DAUGPKikTY9Kl5gp0Tpgo4Xk5fnFysNVtbb/6H1tec5Jo1njY+Q8VHz4itl82/1uMFD61kkxPX7gdatWd4+rW3nr4dYQ3pwhifrZvH4tKcEKhcPj9WdgMuxHda+ds3N8Z02l5YCWjs6daudt+u+enQcj+QFFzS/HxZefz41AtdjcU/226ltbp6eHpbr9UrP/amuMQx3AP1fdLexIW5UHnFsXcLNBnRRJcO94IlPjE0Regaf8YqIEce5FVxvB5JnO8q3I46OD0gTBOiEWC9Vqv6YMPLjkHjwwfexRrnV9Bre/BmoFdHR9NkkkeX7IZA3CtaJOpU0XUDFMxihNBliwPJtkCZHfimKB2LoICYEx0apK3+mvAzWQquk/GBYAQlBHU1f476QrbtCAFH/40iJ6xOwEbGB9D7gbcwaEQ3lSMtxE+BwRj/OU2Ia53QKllamWFUGziNCkIAIHx8Cteakm0KIAnmqXCKFrK6aBgkwzaP0zWEjll1ucr/GBlnOpKalP5POTfNo9udWGp7EKaixifY5ds3lpNnkXIm+Tc6XAJykV3UufnNpp2Sa9KoQhw6alS8eHNM7tJCnFxLUroChEa4Dld5Nc4yxNbrXHOIwY4x1Q5PvnzQmrkKXFnawknotzYvT86CLzOSLCFwQgp62+cKjUdL8LSbKThVq5PrvxZnQ+pAiPFvp2adjyYYCr70NrQ7HuU/9W3Oyz5HUGr5KRpCWk7S/WD8YvDRF3tYgcsi5li8qshwolmg1Mfg45rD6f2gg8671rB0/1nobGt3Kfx+RnvJ+dvsh7z8tzw0afp7Sc6/x2b3dUODAmDyKSiAyPbQZFaQOsRvewvRjRA6OmK97OgxbykiTcIOEPSMoe50GknFJe1I5mYYmgm7NVNPIxwRAOtZuBFK18exGl2A0G3TE1lIbdQfLy0jlQFo7RwVXDF+TdI6M7uPOLLQiruO7hDMWDH5zajxY56DpKk0tre8KYqgdt2i1OOo2BiMfqR4qN96cBTDIGMLpeTVxBNAhIFHfKGu2JsRd7U8/HPaS80VH9qXZwyzBmn4zFGKWbezCnv5AMMw58vx6F2Kz9b/8aZBmPV3EKiGUJibLNyLv8Cxlkdi2fi+/C81hy5kLa0DMa54l47UsNNougGglpIfGXOtD425d+1XP1Bagt03CzKm9dCgqegIOr7HACGfnAislNHIsUhjHJwGvflef9RKKTK1tdSdea/yaDwnhceFufGhd9mCtffGjSpJX+1M65pfM5Ke2FU0XtMB/ZRRF+1RjIT63NLwVaSrDjg2uz6upryWBnkNrW6uXrP2TxrHBkrVQ/Z5z6aJ5Vmtc5vuswWpc0J7lpuOqq/d8PwMdO+fFWn/2s2kg16w3gOHN5Bd1PkOyh9TxkPT6gR7giwD4TK9LNM3iRvMSmgN3Y9SdT5xt7uG0/FlGPy3PiFrgbmSYLv1HaTfCaZoizesUjjnvs5RDLVXz2yi2s4KbWBzytxEgypNNTeBMi7g4m9Yo174i64r5Kzp1mGcifpAYOoBypvUAA3FiLRoUgRKdWgcJPIpAggzRsnZmsrk1EwHf0Y3ysRZ9ySPVhjRJLJbjwXvOQEfroRvU6STrYfAqQbze0o4ZoA6IIJDhbEytFaVgvxUbGueJmisoB+p0RJiWmkKBhs0GgyuyS+yfGO2yMbcGFocRSJVP08K0DGE+lclK85H+VC5BlMgc7V3PSWLhLZ5gKn3SvOZX/kP5oaEXbXLO99UfiWSI+YsScgSU4JgN0ipXGLWNUX5kdA5mOpHDsv7R568BFYW6iHsUpN0nKWNB6Vl7u4Mew7nMXqqZNcCnvxqzlYtceBetAECqvdai4+drYHUus3GuGjAXtlp7IUDev63Crgvrq5obKGwarwWc+IHWHP/+m8JDLOXfJ7CTxvq/r20+5FOB5ZHX2mP1my199f5q+90ajfR9Wdjr96Uf506d/IVuZz2N/qns+2h2rLfTBq8AmjylX2+k9NwDnw28HVyTk34Ouz77pA/ICnDGGHmSR4tJJqadAjeiM8cyNdQ1DuEgnFyZ8Wd0bD60QTpN5vA4Tm0yo3mCHwGMzQKkpC8QmX/EjxHjR0VfZps3IAPj7Wy7WfedsWRzYorp2CpGYlZHoVHMfYwWds3IZgwAor13ABwTPhy7AVBQSBOAiKk3eVt9HpsGGjNy9F02DNidARCN4IBc1GwDxpZgUqEBNgl0aWxcQkWO0ZbWE52MA9genVzrjDklQT9RpHJLqxikMMyJ5tIg0IiF7gZAB+PStOXyMTPAZ0pnya2YzmUKE2AputVpE9Ex51QVEdYnlyiOJ1GmU4vSfVqs9YNRsDmPBZK2BGzRF0VCtkPbCxgTwLHevGtNjuMJdatcSU7RMYZHhWswAJk8u1bH+uOkFp+1DH0zLqAe48FxznVYwhLt7wptuhC4JU48AUH0x5Pi1lorqnQtTRVvQANa3unVqrHWzqwvW2scuQ4czj6FVaMdctUTbVQOsOlEA88HBbTOKqaGA3sJVr8cnaGtzYHKbEmfRoZlbq4wzVb69j8HJHYEZqfnnYoLqaxnuqwrvxzq6N+PM+v6+7GAY3mXcPF2pQ9Jl9mfsYxXOT33Pj4moUmmMl2CtOabFpTDsVECTejYtDIhx0rl1e647b74g/xI3B3bVnFxYIz5250k+lp0QPd/qf3JXKj+7mH+nSqg2RmlGZ54nQiKQItemi9Ulxw6pWXQ4bThYQLbgRCgzUad78oMg2ajt7iDTG4aBkZmlmYHBoUyThM9ARE3+ZDSJXBVMYrZ2gAEUAwBNXi0XAJWp89cBKJwIhiyZSgJHqQFLOEDlEDOmD1GUOlBGxBM6Y6ymkdBF/kEASh/GqfpRmPBE34gkDUKLMuSdHFqyQOZ2CQOJXjd250SEmB0rhYN5P+VAsj0x3OKqV8pQAXUFqFQ66LHbEm/BKOotqKnKJ99I1gK7WGZhc0Mw+W7Uhog15Rgo/MEHgd0l1Bv4ytIpc/5SZqkllvm2W72KSDD722up6y0ouuSDnMtTKbOudp/LYEszWWNX5TfT50L8OY8PWiGao0qJym+lBGbsNKs1Lt+qO8EnpI2VXenZuZZ2dZazgX+SyDfnH18zQBtOHppi3IMpxfyvaU/CiXSfk+6ZcOtqFIMi2X48aX23S/bU65BRY1jU289vkorRGkQMz/cU8h9NLOVDz4kXXUtx/PeF16f9NxrfACH7tzSUe8NZaLRwSQNQj/BBDFlXp+tY+RxkqXQimPAR5xfGul7E//FBaFlAqjLAPuRecRClFBKn5x4qAmVYXs8q8YE8CT9AUqYdAfLAHp9x9+YnTfmb3WaSJol+QndGWP7cKWX87WXEHCDZG8ITDIA9d8Bw0hTRXWeztMELDLXZTh8mkOGR1vkkzMEJEx+PtFBmRt14kg+NHI2HxQu5p4XwBpkXvLc/aXAdUfcfzBSiFiRrwnK0lABqMCWojVflMOzblLvPLODCCDyTpqi1K4EkqKfyiu1HOcr843W5hYpWuat9HEA8tkS9I91SRxv5FqTY6T5ufjncFxS7vhqRMmyNeepgdON9hPyuYqaZgrwIHrXt8nM14F5ys9Wb0YZR4Gb1AQ1PpDUagAwtSe5vtD+ouY0Dp9bf5sYXf6qJ3X1RvPnYL3Ns40/d0FuDWW0+nrl+m5ngCIg2Gl3eBPdb+hKXnn7VL3X9+rpSgHUN+/0skMZh47waTkh+zmbHT40Pzfx5+JB9etSwLHapQmW8y1fz16273YoN2l4LN8u2q/5dBhLW/5k3vO4tPV4+H1p41W6r/viO/cW8MZOz73Gp4SWFhiFTZoj4nRXPK+V7RYRfWMClLBNJzjfqc0YKXiCgUUZGXGYQds0ReQ4qlglTVbAJEwIFAR+VK4PYE4KQDpybtYuF0ULlheV5SrMMy0EEHG02XK3NAC8acS9ZuqJQFBpdupUmho9sKVgifZOmhYs7+uq3Rn9b0hvbWytVBzUACClbJyAGsko1E+Dw2cAyzh9BsBHXIrqnlGgszymbYy8Q61aW47LvkmYC/DE+MunCBoRMqOILWT5e+2AiykMtBhLQ/2MNyR4pSWDl+N8zl8AOvVkbnCboeXqjJdavZib1cacQJm8AA+awGej1t0z5wzHPF2D2LVZsoSbC4NGW+bEBTQtDLgOB8RwxLszNTuhHckj/dAsVp+s7aD5o1HDiNFMGAHA87Y6KzCk05Tqk8gV/ya6WzTQtEGOXJtqzoq6SoCXbK3BlwH96A210K+PWM55jUrTKMQ0XwBFvzKlt2f9bXULXhziBVaTvPy/twyH8mrK9X45Y3StgCe3XRcqh6WFXHOlOVo/Z4m5Qa0yct4m/0MzZR4qUvv7h5yXzLqcCFu2P6fCTpoOE+0aQPPlA0s5LNa2ln35Drj5hVbudurruo/6mT+c23W70GrfVXp6Pa9feu41PmblGGySMKAwcgokzLi7C8igd3cJsxn0DxRUCRRsMYOF5sM5yXcujmJWu4exZXXW9WzbdGD2eDYVcw7ancz0EC3HTx5Aq3uSnO0znWArduvtHTHuOVkitVyqV47gchhO/EIaemMoAP2L+JtOkAE1wVLomJHWpSkCaTqh8ADgu4I4YtMFLYdslTTlqIGp+QH1PtOw+QbziNTnEvysd9BkNkV0N9gUxDEGJhSwivYObBHSANXOAIjhF7YNY4wiaZMq0KK0FUdxMJqWToJ/8rcNHTB3MNIEJOfeoJZKGqEEF4aMtdTXRglo+oQIgInrd0Ejx3bUHEuH/pxXGutuZBHIaLzPe901vqIDcVxsPpCkS7OJqctt560DC+tsqVqlbZXmD1C4hiRJbWStg5DS7HQfGmVdx6HmtGWuAgKVWZ97CXqjxkhgoihtTWvsgGIwncxdDbRx3eWEyNWpPgrQFXCv/zeoqnb78Qmyfl/eutJC9NT6CW/gpdWZbRZYWqlVbdMkr19jvTRQc1wzF81YFBltA1J5Dj0ycSRbyzm05VjpadgvG3BB51agH9vdUj273Yb7k93M/9Ri7slg93z7fKbnXuOzMHeQ+XuAFAX1i9g3Mi3Fe+UzYhnHRarvyYItNUJxZ5d5xewJYRnT9g5xsmwQsIRDcvipxE4kxWyq1DtLmoi7xWAtJg+06ykRKkAQOyXtK7V4yklUqTtopi+Mt1vq4YCNOCYswWw65m10TEa+7464JyogB1yAovWF/JU7+hwlcAhSJjjKsKRNhTRTEg7DqpdiDua6OZ0MY1BWzYltixAGu5UGIEqjo7WYJEFhacZ4Om8rs+WwuLpkjaxMcDo4zyBzkOSlAZwnQYMS4GDdOoovzWJoyGyRa85xxiTAogO7mcWFthLMy85ULNSIDdqeVKfD2NDJ8qU91DC5CcCX55mpPHRfoPA3Evipats4QQPEuZv+NZHakkNm7WAkf5cJdXVI9qXv9Adj29RurZ5h5TCfsIHfVy1VzRlAGtPIJG2QtVpLGFl7l585b+Ib/f5a3uozsCCzJYd6tbxR7asCEujl/9esae4UaFxrKrBz7BGWvOyBFUC9Etr1e2sT56x4WnHBFQTpvVO5rX3Wmr3WqPlTa6TjT1/WxPJKa44VSfNl1cWF3utu2ihrnx+aol2nDl3TdlXXLpl6v45NxOG1XoBZ2/ReZykGffi9hVp6w6XnXuMzKWTXeRnanzfB8n4qrYGJYO5i8EQmFZCOC2Ca5RUPYTqbC3OWJmGYfBXCQbUYLAURJ4frzgOIQY5c5Hcm/wSreETefA0oNWNTrv2HlxA3RZU27OnOWP8kENT+BB9ewQ4B+j95OO36nHGJqxnCYVlq6NptG+oUjEg56Muhi2NFVNNfT5eUCIDHxSwfEAAEBCLcTEaXe1zJcKDMVdtIbZDxJJM7BayXniBuog9QMUUESlrjFe+haNL8KIHry2cAnjeZLaw6Yh41XQDpM11O99R1ORhRPJ4PMzkzIYeF5XRNnfFklQjT991y8ZHwHxviSDsE9AuUHOMgpw8T26+xgCM2B20MzBTiQc2oOkozVODbSb/EbdV8lOaoa8rKl66L4YIuQQPFFOqgCQJKrFsVykSb48RytgZooPXWyzu2t5q0lIPljebU3EHDodRu0kp2hLWCtaRah6sW4EoEcT4nMOrp6BKuf2vN9SvWZ6civb1TQODUnix1/dVP9DvUaEfa2fqbAecTXvVnMfUtRa/5Vk3NaZBxHkEsgH71BWsv9rqPZV909/i9QIxdPj+m40jeqq517PDusY6bBTzl2dOevjbpuQc+eQLLuq4jBnOCO2Suh2TAnKgp86i9cTDYYXB6KDCeSqyrLFATkj4zAdpHD8GWkWV7FKA95awujFBEZu+bjWCCaXKqRVTRai0BlgIQCoz0BRddX0GQjg6zBwDK2VVOw1ja0oxSJqFX+btYiudRl8CPdiDyJ4r+xGd54GxNwG8WoQEc1q7SYMds8vh/XbMweVwttAMzzSm9fQZgTPp+ueLxNNMOPOeDQJe5UbtXGM6oshMozbvWDJCb9bQ1+vYEd4JmdVqNfSp36gb4MnmGZ+jMtB9AMd1zZuWgasNRmj60vlCgS4NxZMbglSzwJQSEA7J7UTgnxZomREulNEMSgZNatCvwI6DR5cqJ99sqRJNeTp+hcmKKHlgBkb4bT2HZF/BSZxLrQJh6aihg0qCuYGVpwaKiXHW+rLmm/THRzE/YxHvuFhg0/3nPtRr/jsjED3872FkgWWpFBJpWUZ+bnka+xednecNLm6H1gwOts6zyczn6z/TPZS72Vlr7Z8h1kNUaWrvWsdd4Wu+ltWd2BRq08eg/NXf8Q93V+GM5F3mSBtW6y3cO7TnO56e/c/i9bRAuXn9YesUvvvrpuQc+dfpnptkhF+CceSQ9uPFMpg/efh4Trxi82eDpLqvTYT5z4Uh7AAA+RoEoi3g27o2JceVIIwSEr04G9ZNGJ8vgjtTKX2eZsBSCefOSN3MWgcaQsAbFgFTuHk7Ewyy1PFp0cSdVnbrpzGD6pHmvhE8JvNY00jkvdNWPADzUWaJaMRQgtVzqqOdfb6iKXgrm4ZeEYjKlzRFQHW2cLMsMYWvpIwOOtfmgFkin3Uac1iouHPVLQIG+RWpFSF8MjHqeDopogt3SkXcMwxhF007bu20k6EhtI+j30cxFoqEIbYa4FFZjS4adbTBke+l6Thpo/hT8MKxidL2/zbI89UETKdvUts0F3G35m8XlF7bAI7q2Ymxpp14i6wgaNB/ByNYzC1+EiiNBHTChFaL31anaVpQmd+mTFVCtjnhvTgrygjyAnd+K54dj2OpBBxMBQlCAMge1wORa7Pq9A1Vt5nSdimfxQtO9bo7AshYALOC1geP2bmIyqzHsgCUPkVy0FMDFswUqoaT0CrUSlAC5zpd5kJlt+b2Dv57vCGaQa+opKMHOI55rqOVZH9aHBVietDzLyjm9u75v9f/Da+fm3+oMLhp//Hrx7tU7n6f0/AMf9F2y1ykaTMzhcAaOU1A/OC/llG4m/W9y3xqaCC8Pmrjywtti8DQLpblhyhNFCzv0P6k5gmdQw3ghVtWkbcyGLjLFwkTD9EVNTS7yMLFtZPQJRMi/J5CXVMLjZFpom+STor40YFXogPF9ou8RkLGLxFo9AUZaNFuEsJZvhO4Eaxty9snyuHkebcdMRr4n+gHiePxITUfeTg9pT/S8dtsCRLlj5ZglUFH3HagTNRb5IxplzS+XWZOxlMTv9onB6y08AfSoa0XQBWRKLKQYEkCGmC4df10AGCtzbeDDhsW8bkfzY86opBJ8OWMKlaC/pBNucpg2a1c8KOsiHaRNKgBqCjTJMV97pekVn/qt823KZasD/HhzbK5NAdr36C//GzUzR/t960Cmabi4ypEkJpjTacQEot57oXYfNGVZm8OOE73l1y9BV29fSNO2uoDiK3q6wi0dfie4EkF8pXeCj4aD2K2sx7D2sWGb9cUGwDSr+gj3zcgVdTpVTjiqN64m3RkM9K85Jb2VdYYaevPYLnCMlxFb0EHNm1r09fpSn37vA42aY9XWNucOLVzznel4Sueu3nig3+z+LPnMFvlzfPS0ZrxR0nMPfFw3kCMuwrzzppGBYQb84A3ZFIAO7rTavTyg4PS638sJX5Qj/KY971XKCMkux2IxTaQTc5kyFOMWmHOmH4a0HXsKAc8dlU5sRVRinYhx2FAUZ4Nhg3sE2YO0CM5rAoAEQLkmKfinK0hfQqdkBLpCI8Fi21nKKTw0SRR0w5rTdvhDGUCNGsEHT+QYpBHTQiQLkVAjo3HU3WHacU4MZMTsNShLCU896w5BHB2dJorOiFseIqhwAE13esEwJ0FcY6PZ1uhczCVV6y5JDQnm+MpGUa5FdGzNVQJqCfgWOVvaFYwC3dk3MvAUsIbUUrjelZbCQJ+iEqPFs6Vhic/yUQrtoydNsv0p9moU+51Yfc7pX+1PfAVAKJknjYo81c5gm+WOEj4SpDWbChZUPSWga070ckuoN+t4jswhZ5ZVMvqGCLgpoPRZgruZPF0YuTKfWtGkY2lxwFOaHVR0kHX6NUFQzQfPjZra0hFVag7Ry7v6rBntS9VHOlXO7nO0PtOgX4GBRZi3fF4Dc/2vlXB1MuxYR7a7/zmNZX3IOd1eOMCP9vuNSbLUZcv3U/23vtuNDKdnTynr6Q+enj6HV581PfenumrR+MosLRhCHvXWze1egmvyclAJ9z41kxH5hG57LibSAIE7zDZ0NYEcrqVadwOeeMTm7UetDXHcXP3YESeZkgGzDRKGYaawCA49BKuQ7Y2YOGpf0360RWmoU1sZ0sLKnzYAB0/2pMTin8Gj3cYQAm0XHeSQCpy3s7ft1AICKaEdYqJijizbQoszxMRN14JEnJ7QYlldwCqaWe2u41LPDfuUszLgU8Gd6l2zDdJ4yBHaQb8hAr8BRKBKCSmnYPbjnIiHQcG6RKEsD9GW8NNqgr8RkYfGkJq6bjp0aVjUTtfPaEO1ckUvsHAEJYOj0k/AxRwqn6Tysy6TR2k2ql9j9LNLYv7eGLsV8sn+crWy/UMzXm3IMtSXEhH9Ju6c7Sm8jCcwV5NsXZtiOSeOsiBet2xm1zopwneiamtCLjkPZ7rVePUajry/j31CSSttoJ5Uv+N/vsyrDviQdK54PzJZtQWp8bTKf6SDNmIdSCGBVQc/NZfhVdwVUMnaLx7WzGl5Te1A08IligrK+EG7mi9p3txqCbO0U1Xil+JH0LzKhcUDAAfNfTHJzNZesfW5mL/G6USc9sF6BtPCL4pnNj/U10pevh6e4VBFf+Hq2Fbvz+llu37ndUjPPfDJODJWQiicZvteFAAstSe6jV2nQXbumMyQQEjjJ01IMk8j0yUDos4lmYEuzHziHn4/YlBcHLlO2oKZ2e62bqzc9xY/iekMR/P/J+/PYm7Lrvpw9DfmXHvvrztNlcuucoEBhz+5AYRuSMj1pXm5whKIKIIIJbLkSIggHBFZiHQIpBgpCY2CEoTMA4i8hEgQKS/5K4oURwge0lmmUZKHQAIJ/gNuqsrlqtN937f3XmvOcR9Gu9be36kqUraLk1V1ztl7r7nmmu0YvznacIM341chPKSggN3lGoicWaQlpa/5lC7E1gEQseShcv4SQMWTROoYGHOzDN02Tpk+CDPvQKn6TnWHZsdBqa/B0ENdFVKMoqBFsYl8RrTJJHLc8w5U0KHzZBROmswKkskJe/ZEsvd1dCcqBq5NUmDMSsYvko40JKZlPVsQB+e/Sjesn56iInEE+2rrPqfNmEkN8u9GHDnKKAmHgRMr5zFwfP7Ce4hMCJU6VMx9DgZAyNdKath8TnWf5ajKwTpjDTUFf3YmIRwJn+DjV/xuDggYayc1Ou9BK2egOdt/2RMc45lVbXbR7N/892LifBiSWsjogv9mjFyZ7nLAYetI1VSOMuJfzr/nhmo/SGmT9y1G3tdlSEE5cMMNPI3TB6NbbhfkPU315Vvzj37RkT7bvzY2fnzIhMbumoQoM+X8LspjNOfnoaJi8BHQ8tp8PaTZy77Cm7ogAAmszLpzACaOgIvDJur3dDBbtiODm0Vz3vzr2Ax/bq8nHvg42LE/CWCYsW6sKfP+kT9VE4xmexgjhQxgAqtKCyA18jUqnBeUBUcURKLki8hPwAQxaM0M2jZdLbaZzUQ3FonZl3RH+api6mpzBLH1AJuKRZk4gol7bBUHMEAjsyfRtuo4GFG0wHUgePwPs+MJEKfSGWcxMQ/2uXQJCxDSHeuDSLrSVkdjmS8DrBYnBiVFgdbxZx1rMvCkoNfSd8g6UMNuhIUEswXOk7KToq6qY8UEcNF6wegooFrQXDUpLe75PYlEW/BLWwo+/ro4uXPyKGTvOxUzcuUkYQFcpecEV+rrHNINH32XWMINu7OnYDBrUsYvwBZEoB55x8heCwM9KtVzwh0siDIiSgDJLw7m5MRc17ENWirhe6onSZ/vb7a5DKkX2KQjEZMoSxsM0HhzEHNIIAeZYRumK90OCDZ2BhIS6HF6A3JJRF7RDsS1Hnjfrf804zm+rVINNj451EZWPVld+VlONcZYcGh2l+IY3VPzM4LVTLNGhXRTG7LgvyDM7OOW/D1al5lxtNPGdDkWPuhK32wvz8ssFh8fPhugIz2jIN+B2gxv2f5LIMGWbkInJt3LZQ54vZaPn3yTzUDXHMXQ7PGD8V72P3fO53vekGUx33ezfuc23vTSm8DMAdz6glxPvo2PiSNV1G5In7owXgbc3RkAPLIyAbbAwusp9PsgPf0qYTSxP4FQ1KXaxBrO+DrE4LaYSknsgCzLtalCzF1YLU88t1RhxoBMcBUIcIr1AwFshYBSY2+EdxcdeopQnPKJVGLSk8E0kzMpYxRdPxcn0GEo7OPnTENeVNQjzjbpASMkC/mY7WNM6lMEzJC91543GQ1D7D+CULlKQudOconJH/hYJ2bHWtZUF3q/csEATb/RBcoJWGGgW7JMtelypqhjxia5sAEBqBRJlmtlTUpEqu5TqhD5p0jXciJK/iz8nhEiDwxpxm0+9zpmpokppPZh1u4wZmWWdhKxOcJ58E/Y2kxre/4hjG29fTPez4n0BdMmBYLVftffrD1WvY0npbeJRyO5NM9ViwhG6iosWyNpbGz8DeiQVy5lQw1mPxn77YdjMRuTpVQmbtl+5cUfWJ9Sad+3Rn/SvyZUM3CWpTxkgwtWtagUtkjc/kZOVjR63yBTBMK03w0Psddnf5YG+f4u/W50lfzPfFR8pI7ow7IG1exu2GeCvUCss9mH+RgfTNZB8fQD+T8H9WQwBJp7WNECfOX69P78hWmPHmvPAb1M70UeKmcoi/KHazD9NS+Wu4FlO/Prj71n8eGmsf4CXk888PGF1sMuRcAOo5GoGiSNAuQ0T2K4ae7H1E29JUsrG10WBSPcm5+e7VwY0hvZypUIgwKKbrYYSkWNsDNrcD9fKOwZu22rmXH13M25iEREgQHYAhYCdqQ3Qgt7rwKDYEjkJ+JuoY8RbvYuWleXeTMyNjAkf2xsWFz82QydAapF+8LO4EDFVX8G7AoEiDLFOAd4DCIcOZykHaWYK3oCRj6KOiPadumKtYO9dwSLmQSPhEzOMABZFcXH1UBcEHtSJil2Uja/ORAgEPYxNjGL87+CRJ1Dwxo65rI2jdnHM3ktBAvT/pOPmI9LsbFMgMIIY6S70LGx8U/8e0kK7UCQQQYDM0mRpf3IMMCfYVuD/qO2N69+OKOXMbanyUYkPN588XAi5AkAGTP3PZsYB9vKTsboMdLaxiX0snlIv2Z9oq293LSYoPh1xik5fbK+9sWdqG8GDBIAiTGeAxEHNwZY7H4aaxig8gCrCewEvAmg4p8D2tp4xa1l6x8nAQgpGqfhmakqb340tXHJ9I0uak10ODlpe8UNOizva0KLWswsXlTmWCRPM83LHIIFOvL1sMfWn0UXDsstUA3N/1pWevjxaMU3zsBr3338o5+z6/8A4NOdSLkNDDS5p0t6hAA0FhA0C0xYLFliEGLmjgagecAdYWQNBGOl3aUXwARgYjuVIEAGBOxYUEOT/MRil//ck0ddhFcKcCSQMKOQRFFuxArk7EQmUgoDUta/Dk6qFjVmhnlxpU1s3bNNVQjxn47ukeOTMyKOPpis3Iwu7dRuBNaNVTVOS4AR+a+oNIdKUclKEPvYyma7YYDKDMiDMYKU6TujNxWRAZsahI3F9skD4LGUIZZ4PtSLmCUR+RiCMwghl6CZVMAMuKNdQRCFTsvcFF13R8m2rR1nuM4eUhHtm1ZskqOuzzCH9M6mh7W97lGY2JE5mLnqMINmJOmfdoYXbUg8yOeCcjmy9WRjTcpf2dsT+Ij8s2oiVN0j42VODND1ZKPbDRnR/GSe227gVQBTWu9aTQ6GGADOFmGGnBS/24Ck/WBNkfeneV4c9y2HnlVwKFfK8AYHAMQ9sFxyNi/vEuxlbQ6CeI5TEm20WD9eDlnalACXvY2DvgVuWgIm63qMpNXA+ruF0sjj9FjwswQvCFCSRg4u8lt+tu/+OSTLr8nV03vzu2bzPJ/y2O105P7yp9SGJfhJG/+Gh5e/HQzW4iMd+W3+6bDqLxCyeY3ribfxKXpKtpOGicHZ7um6aKSax6RTtZOMEV3hlXYCIUwauJAUvLDXbwTOIJV6GzXAVRE9pASekJHhdicMkTRx2vaS20ssdrvag4AtQKNliudgcj0kLOa/JuUNUhieoRnoq5qnydUGAIJ4K8nw3xnmYuyM1oieFilGRMmkMkVPm93VQyZlImRDThkvhQ2IBBosrtss9kwuUTEXceeyavMEYVghKQui2qNLCxdpTh5M5FIum5uCiGcU4A3oJPPD7sUlQLMYuCAocLJYPGWWRESXln8QsOcII0mLQjLTk92ElI8+EWhWsQGLAlaQttDhZ4bOBkZDzmDrqCOiN/toz3mRf3fPycTgFXcf5x0qeXQABQP4S+uAIMSypbRvlo9Pb8oBh2It+EHIxjSRfIpDkq2SkvcAbI0FGCJftwmwZ2aU2hgdSjTCaI7d97FcoBKbA9bxZKQ/IRPy39LzuUxeS0fBhV5ZtrTMfh42aOmZvEb9olQ2rxGxkjvsI6cnU4t49m1WJoBMApF8WGoGXmzJO53Pt0LK6OjcHrCxT7YtbsMjk3lYr9dBOOa4cNDc1Hv/7LZEueGHT826m1+Vq8tjkdferEz6cvD7snIrc9Mzy/Ydtv1xxT8X1+dE4vPJT34Sf+Wv/BW87W1vw+npKb7ma74Gv/Ebv+H3mRk/8iM/gne+8504PT3Fe9/7Xvzu7/7urI5XXnkF73//+3H79m3cvXsX3/M934NHjx694bYYQ4mcU8bwNWUCM5rNVSKMDewEiaAnXmM0VOJ5xAKvKAB33zgVanvDrAEMtXzKomkEyY12MWfEeTN1iIu4mahUYlAJ1VOBpnJwwgelytVfaMTXGa0zQiPYhKZ9KKWECBzskhMj7Aaa3MZA0z04Q1BdkDFroizpKR4QrnFLJ2m5quWbclCjI8RyWm9dCLy7jnKc1sXwWQBgZ2OIhKou8GCT3BlrlMEgP7GzBr0TyY5nXwc7yDN3aVbDICrsxvKiimFXPZrkySJnu4FyomMCIjhyYCGTeYKddO0gKt1mbbeMo+UZZZ3HODUHsSKStWypLALsGX02xuEWH6m9cbI2qZincIm3HDB23yUz/JDumlRH29td0pDkWQ4wyR7x6jrb/OkY+boInGGu5gGHYmyzxKlQeG7y0TGUtvOsswFwDtQm9oiNBuW2q0I8AStb88hVaP/Y228/cL69kOaEnY5LZrRMEtogarVwH/l+UoEh6OjMjsclSqm81ppVY0ZHZ52i+HUuKZN6F78s1pMRmZDkWhtlCAkx8st3J4k75pfVxbNf5i3x9bCYZ/h7D6+8XmhW1to/75l/omOfj7yLDj4sfjschVxo+Xj8erw/N/9+w52bi7/eAm/q9aYDn1dffRXf+I3fiNVqhX/zb/4Nfuu3fgv/+B//Yzz11FNe5id/8ifx4Q9/GD/3cz+Hj33sYzg/P8e3fMu3YLvdepn3v//9+G//7b/hl3/5l/Gv//W/xr/7d/8OH/jAB95we4SpCChw4z6S4Hu24OQU3sN7pRRUFnUYTNTMyrCVOcwiBCfGYgvbtjsbk9V3EUu+LsupZV4nADT6M7shxsSqfjLU1aGSBIEgEjSvOCRhAFMnSY2BkGhZa8STx7RODBR2Blg0uq60qSgDZlfbiK1DRy3BdNnqUtUBqxGHMRp5tYxJ8U0eKsXejZBTMBwSg1pYHRRjTmAQWURs073Ag9VZ7B2oyq9zAIKg5sY4WY137ZxufTKCZhtR516BjqlEQtpOKbO49j2BG6mPnUZ5AlJbPZTSnxhX1LeTWnAG6eWQ0BjRJ4CIXRXFFLnALP5OIbW58jWqDMIAgs4fWPcKIYAoBaDwdtl4IfpVfL5SKdL2OF+McbXksTEasj8zu3L7HmaRkKY1J2tCLLKkjEnZkMCTNSNJN7V/hh79dweVlOzL0tjY/WDrCPCmCkyZtBnjmjNX9jnPEiGjGiV+TBc7DcoSnAwqTKXF8OUDhw0zAGPFEy0M1JT2iAGnaIXnUzMgZFLc/P7Zu+fgLEBnBkOzlR1d83lbskM++Bagx1ZNeipXQKG2nNdka9Wej599xTvAUCn7rFWUC/u7ON9eNOUgxcTRthw0xOuetf9G8HPkHbrul9UflD9YhnTkt3j37LVHr8eoIr9AF/FBIpf/veuHfuiH8B//43/Ev//3//7ofWbG888/j7/1t/4W/vbf/tsAgPv37+PZZ5/FP/2n/xTve9/78Nu//dv4qq/6Kvz6r/86vu7rvg4A8JGPfATf9m3fhk984hN4/vnnX7MdDx48wJ07d/D//ZKnJX8TEdAlEcUsFglr4DsooAEAaHoIZncVB8E9cZjZDZ5t8xmjNyAgtch27p3lDcYESjJBNdCjZLzmJcIWF6i4CL5BQBvQNdM7OTErZldEjMokKRMspg9re4xYq1GKuUlbv5gESFC3vti2UHVNY1AtiiFExWcJXE3Yb0lMPa0Ch22CBCBUu5oYMEhYAJsXY2dBQCx/FOnzxCaBCWNWS0Qrdk6sZcTGqcVQC0AyAKFMnpnRi9SdYxVJeQEYvQiU6FqWwShVgGbXse7UdT41WrYFGUxtYDKWHQyqU0rFofsErL+ZLZmiGRdywZh2SD1M+gL1JnMczbo+E7Mr6jbWkOpSJpaD5BFsidjAyF+RoV7tlWwuVOon/LTr/MU6s/UeBurykoClSAeGKOAxiYjE4DhJXtwzrmQwoXszWFiMr75QDMjj/koTjFUi1FIU6FfxlNR1WvQPFTF1F2BY1CA9+2PKOrN+UjpnWvgDZhszGUubR9bf3HXfADFj9ptJWkWyqfDCnjM1BqsqO0lvLL2KzfCh6iokfgkKJY6bnrMlZeuXkIBYACOzSVxKobAsC8BCi7iET0GUzemsKWlME+TTptBhQW+9swFrhtUu9znKzt+3eHl6bj5EfHCfjzSej5TNVUa9Bw+lcozFx1lPl2z+gO3765fvOOz3vHqel1nWk27wTf3Jzyyadf/+fdy+fRtv9vWmS3z+1b/6V/i6r/s6/KW/9Jfwjne8A1/7tV+Lf/JP/onf//jHP44XXngB733ve/23O3fu4D3veQ8++tGPAgA++tGP4u7duw56AOC9730vSin42Mc+dvS9u90ODx48mP0B1IXcN5xsAotzYicAE/NWiNGTm1Qogw1xqtgmDAoenJCYmzWUrnv+LdX8l6qqFzmZF93E0JOXEGcxqzVPHiJh2APCyFXAgnwyaUBRrzNpnnhGmeCIlZGD2YFZYYAs0B6rqsMYiDE7ls/CMEM91pmAUuai8iShKEohLRmsaxD0A+nvltYiu44D6mknEEvqg4yBGX0zadJXbZ8xl8KEQdiGZk43dYfMY+9Q+6cwtCUwSmE1dM6nbu0s7Jyi0pxivwjTq1CJIAeokDVhVkqm4gpVhjyn3lQQKc8ANcVmCzmQFjWJNKlAgChAIBO5ITYvp+eKjwpMAOlrh3W6zBXfksNaJGjYvFkyUw6jfpskX+PEboQOKqFik5mUVrGlUTGA4htL4mctaKzUHaoLzxmX79s68z4aUbc/YevjDO0IMzQJVYZD2fYrS/XsACOSGvZ1HWNhv7vM1MfMINXcaDlaa+sxYkzpgkL0IYy7Ewgx4MAxv3BA4b1QQNQTR0yqK3te/7iUbNZCpELpDgfz5FlZbafRXD64O6s6PrIN9rw05dnL0nXM5sEHa3HZGJuwcdmWjOVpsR4CM9G8/UcvurkcpTp8YRigOyzrikGa/36sTpr9EOrUmx+0nxe/HytGR24dtON11PP4G1+Q600HPr/3e7+Hn/3Zn8VXfMVX4N/+23+L7/u+78P3f//34xd+4RcAAC+88AIA4Nlnn5099+yzz/q9F154Ae94xztm94dhwNNPP+1lltdP/MRP4M6dO/7nXe96F4BgrMZIVx5DR5k6CVNkKiJJgAES3XDK/AfIaa6TSQxMeiL3zQBU1GFK7Fm+W94rIRTd3ZGduEJc2CuE+PREu7oe6YgYTD1OKAqKCAD3eZ2DghZnWtb/kk7ihsCJQeioEBBQjSkBsqg9TbieZEldqqswHGPigKSRCDJGLokxOm5xNwiSN80ZI1JEbJVOQdvo9h6wc7yCGLbksKT5pWTbC1Bi8bpCqC9g458AKhmogQVsJAUgZs2kyWtZ1suQGKYxz8ok0jVlmgawXKTMQQ6NMebErg5orS1swBAIsmuMOE7YznAzdVJwZkKioQSQE5UWazoLkVCYWsyTmfrcceqLmib7fdI+ZS4Sql+TiLjKMDFceUT/S8hhHvsobWpZ+gCSGih1NduemXSRtW0mSaH0x6VrC1bKwU6DOdlxP3SWWj4xXr0ReywAT9SfHo4fDvgAz+4fYZ+2Jzi3fAEaEgSysTNQY/s9x+dxsMsJXGiZnv7kQ46pybLaK4OmUHnF2p11gnzaHSo4OMxri2JGMrBJO+JgmATk2N5LQCDd98NYfiYPsTXOXmnzkeiI0UFXnc2XSLRwAQoOFD75/mJ9H72O3vCBPCw7q/7Iw0dBS94xWAwzpb8f37S3nnJrfr3pwKf3jj/zZ/4MfvzHfxxf+7Vfiw984AP43u/9Xvzcz/3cm/2q2fXDP/zDuH//vv/5wz/8QwDhUWLuup3dv8k9eooeYcweobB6YSE2UwcB6qnDGiwNCgKIIFF3wWpnoqd+gthWaEBDi55sUYfNuwSwxJIUjNm+iyUqLACfqJfgBs5soiECzMgVFnLDCEkyCHUbH4JKE4rfY0DtVXgWu8SPhlCpTFf1HUGz2yuRhEgR7HkT8TtZJUJlA5qkIIdVkhOKxhlP1dEoxQyezVgaUDGIA1T7Y6BAxrf4MyJZMeJbPL+XrBMFi6xjbVDSgGYWuevc2kkyMyACi4EzQv3jLtTcA2yYjQWCSBR9VzXpFBJ28P7olYiWMSZSw29j1sbQI68VBXZhm1wD6yZ1iJNppLtIthMqmrJAoJ4A2I26VNlGqshTYmrgJkv4AhTMmXImmcZ42AyF2JijW9Z4XW4DlJh4ekOCBSGJ6DEkie4H4fd9ZMcIaz/lsnPGEk+nemQjIl98WGL2ex6l/NQB+JjdZgcvuefMHdz7ga1Ot1MWQ0bOpEM2HxzPd393vM4OJnmklx+zVJiUHiD9m0HY/KKDnwPu2aJfjnQuO1tJ/sek/Q65KIgGz54N5m9zlA38l9WTtscPWvPGHP88azst7tOibNrzR+qJxwlHgce8S/phPnJLYHjY3iMFkqT0MQ8+dgw+39ebDnze+c534qu+6qtmv33lV34l/uAP/gAA8NxzzwEAXnzxxVmZF1980e8999xzeOmll2b3p2nCK6+84mWW12azwe3bt2d/ADEYtsm0iMgm2hfC2WHi/mKnDQRQktQHZpFjNg1m/5CWrMZesaBwhbtKUAAX/ZbiqpzO8scM3boTgnAT7tzRuCtY6SKNgTIeFiPhDvFK6yDP4N4TnbbAaR7CndQWxig+ElBTjhhSbQVz+hyRSkZKMPxizJAEvjlsMzUJBVMgiD2JJWllSi6zKlWSOerqoUYoVcfC86eZIbZG3VFwyFTUmFmImHvx6Wc2NaOCVUZEbSYULRrqPdiIBL2EcVw54Rofi1VQUIBuayCCTxYy3zC1EykmjaLIzK41EGvuKe9hcYbhcZ4oEf20vl2aIi1FM8BOMV8UmyEue38miubqTgZe4h3xfiR7Zeuz1J2NhQWUeM3e9Pkvc15JOgL2nEnPXEXsM5SfjXXmdXL0PagzuW087PCh42JeijY/LjGOIjPmR7D1GC+YqRsSM8rsNLMbXvxWFr0K8GJnkDnQcDubhQSHkSUzs+HTQxCn/3oCOaEOM1AS9jcJOHKigHleMlrh2DomeZpfc9jkv/jeWjJVsm1tCzIN9Ayu+IAekfukNT03qs7Pcq7E6Fp+JZD2rjcN1vJZI3L787cMkhZ1Hb2OSLJmhQ9ASf44b8tsnI7WQUdv+368+UU3tOcxjfs8X2868PnGb/xG/I//8T9mv/3O7/wOvvRLvxQA8O53vxvPPfccfuVXfsXvP3jwAB/72Mfw9V//9QCAr//6r8e9e/fwm7/5m17mV3/1V9F7x3ve85431iDdQGKQaPAFKEVZEQGSdkDKchGiaEQ7i4FN1y/YI4x6zfC4N7G9sQB7/nrdMJPG3um+2YRzEEJl5Oop3V0CHhgowoRE8iOAykBcYflj7u6ZgBjRNsJvzy9VYRHuXzovaRXkYWFiqTSHF5abctp3jvrknUqUSW0NzAAJmu2ciqdCMIJp3l3Sf1OblNlYCmEKo00gtqmDOIJ6M+n8QI2KWSUzICfW9j4rCziucFUXutjwmI2PESCZAwI6XGUFFFAJE3hbRYSC0mOO85wb4LG/hfFzelN4utm8wt9nay4kGXa5EIjU44ts7JW5Q0CVqaCMxDsrIQUPJTMDg8ZpnfuekWk3N35bx1niwWlduhv6gpoyJxAjW8D7ESOl9+y7gVZbd85E5Z+u3L+rBCkgSzA1AThz6Rqnd9lvM4Bja4Gstvk+hr8nAR3Kv1PqM6eSHXmUHXpw8pZDlgDBwcsBGGIGd5PqBKBZqq38LTfVwQmM6bvnkEbb7uXm1xJs2KcMcejmD2rXFWvTEOn86UOmmtj4rKV+f7E+879zGEOP+WR1aenU/lkIhIP2HrlyHXR0KHTPRcvm95cPpsYRHRbNBZd1HG/crMqD3448dfT6AuCfNz2A4d/4G38D3/AN34Af//Efx1/+y38Zv/Zrv4af//mfx8///M8DECL3Az/wA/jRH/1RfMVXfAXe/e5340Mf+hCef/55fMd3fAcAkRB967d+q6vIxnHEBz/4Qbzvfe97XR5ds0snxOxvLFu5bdWKogEOQ6wLgjNwk/NMUKNhGEgykT6LVwUAKBQC54zdYgRalaEKgTJCH3m5QGrfQ0BVykbqrmMuzB3CTDxzNUHVKtpmbU+m4OKhYwzDwI2fFeHJRY2gahU9qaqWTE4Yi20ehRmZMyjwY7YiQT6Ig9k2MtWitB/FrXh83gQQSLwYk1pJLjRhTcYWCgxQKTix8TFySkLUqUqspSCDytWNv1qb/QucIVvsnwolvEU9osjAU8wjSDtHlFYfwaQYZnMzG5uFUasEq4xVqNMs92wOKXoiSTKln+65CPNGRAAPraf3PvNoMsjn0ZcXKgpnMGzMy5i2ljNJiAG6GIK4VCpq68mYOKV/CaqSJmPiMQexEFmlombvA+Q0J7oSwk6Y5nZIsHkziSsk5pahEl/22meXUOV2kC85nabMfCgQjlbmI+2nIicyLj2BhWvQkciKJO++SputjS7N8blg/93KA4m+uW8D+xqy9nGamzy33lydqBjpVHYmJYK2Py3xI3VaxfEbxZDZL3kt+t6Ej7+1hbI1f77SMzMgE1sk9lDqUd4Zs0bN3ovFPTrsMA6blJu1aOKiwvld/5SK8OyRaK/tRfaFOiMB3tb5o6niY8041pHXd/s1738+rzcd+Py5P/fn8C//5b/ED//wD+Pv//2/j3e/+9346Z/+abz//e/3Mj/4gz+Iy8tLfOADH8C9e/fwTd/0TfjIRz6Ck5MTL/OLv/iL+OAHP4hv/uZvRikF3/md34kPf/jDb7g9QhziFG8SEeGzZbbpBCBoHBMIQLGrLhcPFTSP3GwMDk6QAnCUJJlmtQmiRIQzQdFiBDe0DdGmVRFEp7jdCZxIi8G2MupZf5UYGs0Fq1GwGof671LWbJeETpITyAqVsmhhVkY2aDRmHx/EdrWgfE5KNDI0QaVY1sYk+XEWwkLQRCIRRrPmJg2QepoZE08SFAUt5KJ/kiCLeuJhxD34uJmkSebU7BrM8NbVGlQVQJnePwFH/U4kwEjWj4Ya0Fg1DjL0ma4u9aRRxgsLYG4IBuVcNjEWl+ZZn0H2Jjcmt2eSM7Wug6LAKRhGBsVeZ0KD3lNTCVG4sEsxDcLYGdksx1zcfb3qb740ErMHELGvjKFFE3xhGRi0rOgFARABOMgXL0trvcIJzrIeK2ccjRz8FavPpQocDdC2+LRg3odob1J0JWyQ9zVpf2IlYc5d2QCNrbLMokMKNPP24vjdNiwh1MvOhLSARxZHupYgx4lN9OMAAPstDvA149KL9+tasrVCaR5Cak3eHwLN1oLZDXm7FdWwryl78VzllffN/LI97h22ZkZ/Zlz8BhRiP1NUZTR1BgC8Xu8MaDGm+Z3RT5q1b45gMG+D/bbo00GDbK86zVn0KTebQiJ9pBE3fH/cnc8fNHrT4/i8VS6L4/Oedz2NoRQQSSTlph4txViPeUwBKlGJLWJ5qBgMMkZLRWK2EDnTcJqHyLslnzoqCiarRYm0ua4yxO6k9znTybFwmjJmUf8IIxVmpMukkEd4NjWW16Pvy1teJFAULtik90q4+UPrkNhGKllR5l9UKmWn/oaubumm9Orp4BvUyU7WVZmQSSc6GQAV9aPMh6ouSgF3q69q+0OFFuqZ4mpHo/vy+kTFlQhyMWKqbIYIjK6Gyqq+YEanjlbn/WgQVRFBIxarzioMxtlVQgTGBGi9FnUaiBg+Bj7EhmtCEDlXM0BkRc3xTqQngb1Tn+kdAhwBj8XTkOaAkyeUEjdjlBYmKLNSM+Q3lQjpb37fgFCi9y5YSoTeLpOC2dLIjL5n+myAeCZ6AyxLewAia2YcZGLeoWMXPRKQFvvMvHIKSURvIvHgqyThJySOD0kcH0gU81JKxPAhpSNUNCGw/ubejQF2XPVqTeP8GQtVkvTd57h3j9OT4/O4yk6ZvpTR9W+g09ZB+swwysMhafP/jNYRIr1IzK+1Ma4E0ux7us88Z9zIbfDDk4IZO5xwXow2q0vQFF8pfwHNnzjgbHPE4bx+We/yOaMdS8TCiw+cn9WR5iNlbVyOvjf3lZdNfu02YNkGmrcjFZr9dDBXiR7Mfl58X7R5TkNiT99c/uaywOcujs8Tn6urKnUx9VIloJkvD0NAj560JeeWLJWmx0UTn0s+K6FZduov6C6GtzxXtm/FSDbsYggQcAFJJkqWtLObhCkum3vPl4WiXmUMP2Yzw6IACyFJUW+JxAtGf2CpzCVaDIZ5VBE0b1RjoAZjMcYlp3tD994dJ+VmJyWane6AUIgZpVMBu3QgUgRERGdTIeb8YNwZ3fKPeavUbJmC0RZ9pkGDOLr6TwzArf2qAJuNj0kvTC2YBlHBVLKzUabnqiwFB2JwbickBXQQLzJmMTK2497MkwTiQWOvLOS9m9H9SL+QVAIKniUSuAJoW+tIFipKaKwJElDPaXkADv3bVHHQfwtiPo06BR4xqWDMra1fW88mZSIba68/5pnyu/M82OBouwH2/WnMzaVxsTRho5BaKSPCcxWRRfT2QIyg6FyqzIE8hd2T/0eLQr6erWcBelKDFkxy3u7YfzpeLvnhVAIz4Y/b5ziAYP/N76uOy9cRxzh2oy0+rjGGIYnSz24ZzJm3zvowy0zvfcnFDHKl2eIllOJZWR9GRqzvI+OXAdBiyJErmUnXZu2ZVXjQweWeWbY2t/t4f7SW5eng4O3ka873zLJ9dGQdeRd9ceIgh5keQjhVTDxvrVKYmOf067xQmp/FeMntY438wl5PPvBBTNOUGLdk1e7KEIQYN0hhY6RCzONUZbYHDHHLBpGmByCffw9Cp+/qZERACLqwXtZTIgCKKMWkNh/FRDYqYWEgqUwQXicw112VxkAYeu8qmTD1k9JjYXgC1mZRnwnKcLpLvMROJqRZYdJj6T/ge9euiEuExNCDs5M2xNiBfK0gdZW1ftjYRawXtctxHT5bzU6+jDgoZPIIxRFtuDiT7iBYGhDRdgYAiepJ1Y2sBsGk96yNkswVsAjJPCMubAwLmAHAAoBLQTfQrO2v2u3sem5s2mzAXG2l77Es6SbJsfF1GxEFKX7KsqHQ28XJHGk0bLiRvfPUBUEkinG0Om1bmXn4Ug7ACMANVvsjshhVASSCDQZTCOkPnPmbuhMUIQB8HeeXat8NlIW3FB2Mj8yX0W0DQhxjrvvOdHPW35yAxPC8rSNbf2T7Z8mlEqOYAR6YZMZGQz8ZomTy8WfO5s8J8Nj8wQBR1y7rHQ7wk6WosrZ853oZf5ZjzTjTzINunSDHUXrAiq5HvfPf87DY2MzZMG74ln+IRUDx0cG8T4az9UVNj8MhB20kHw/vA83H5LF4wZp77D2pPC9vzICIlaX09QiAO2zCDQXmIMZGad74m4HM63vH4wp8fq4nHviMAFZGTvQ0ZtGPOyTycU4RamSNuQtRJbgHTwG7+guQUISWZsByf5mgRSQhRqTFwJTJyrVgMJzUJGmhdz+Wq2RJQ+KHsaZl/bbNp+1XRl9QMLEALDGW7gpecrA9uJSKIPYvnbpKkhimbiAIQzRg6COgDMPyfAkB4BkzcCaWd7HaBYmxska5puKu1+TMWwmtttEY1zzbVcRjAlSKZYH8tI9i6GyUNE6DhSCSHxjTMrWL9KYj2/SofZDaXXdjKLEcwAh7LrL6Ae2DMesgIyYxMKN57TzMPsxUb6SgJ9yU5RmLCi3gzMbbjLDhRMaAPDjUZEbVhPHYs1q3gqmGUIcYExcmKu0lMugUNhFO/2FqE5vPHshARE+2jHWa2efeGLytySRWAcOSpnLYkrHtR+s00nvgQNZ2uTWya6Or4SDi2Xs8pxKFaksWIgWg1neFxCh+pBg4H1/hW3aMMnAc/fUYRAeX1uM2YrEWbE5mXF7HlLvRFUaE6DHQk3MOArOM41a3Vym/kNWfxsrK+0+stCmNtYNv/WLDlGZsYTdzM2jIT9Gy7KL88j2yX/mgvj8SL15W88Ye9SuDoIOmzRFI/KYFZ2OUKvb9uBjEJWZZ2uk4/0vvPIKHor7F9yO9eo3rJkT4ub2eeOAj0g0lMwxXbZlow/xt7NRjUhgjTmBhJJOemAaQWmXIvUrsYMSkPb659B8D4+GQHUxqAqGr15eSD3STtrj9rp7q1YXFQAbBTs3kz0qQvOhLYUljgVLQeqiJzGhzpsYgI+jkwMyaYBIOjibBZQMK2sTSpqNBVYxGq+c0UpgeJUABqGGzvEfyfxVR8BEwgg8YTRBlU18Z044CRHkXqUzJLVEVYKg0xua0ODMy1q1vYTbdSNTNAFVjqCEjcPGwDkBhcnsbguXkkjntpoKESPXcww8BSKDSpKoeP03bV1gY4QyAKYMx6ZyiO+1vYsxkqk5ppw2bMzLORC3mxyR4ZkJNgErNjPUbWOKZLZung2A5BBDgc+pE1tahzXdi5LFzQulp7cuAx/COk2XDWtrH7IWVGbsF3CREUM8AURzjWhBvdhGPyaxyH+AvCvuiAJY+rzpxAWOsD+wABvbRJTkmxTGWLRvZyvT8PJDWSJIEcTD7AFAxjse4j3ZVSutBjmb1LP5lG/e8k6wSjsm64fIlkJeHNsSf4sWN2bVk6MtvjGP9lBIKfG9oXt5v+fNyXc05+XFZTC47u+91HnvO1hYfDgEvvs8anMtoweVAz4nJDRXHbwc0/uYpPYBLj2v65/J60+P4vNUuQnjUFAKoq4cHxyJwUAQhShbtVzxUjNRAKHwJFVVRgGTk1054hUjtO2ZUS5inEqGGsIkA5OTVui2kbiYkB8zBRPsE9QTShhfvo9RhRFxoNgVRi+bCDVgRjI4YIA0WaCJ0Qhgv25jKIPZ0qjM1INzI1pKjeuwVggfsk3o17g9FO4pFqaZIAUI6fm6zYEwUAgisCURQaZXUURTkmuu/lTMvJMxssPRUD2XuxuS7lBNgZ0lko6y5LpGiFZfiaJ/EYDwIhPSRVcpA2t8Cs9eSoSUQl1mUY2OSBJN46XQSabRtHU8HL9ZhAcIwNSTRTEJmzDtnjGYfe+gzRiB1rlyqiCTVyEUE2Jq91hIWzNUBnOYuGM2MycsC9PELWk6+dlj77fFr4m2JEckn4lAhCtHmmZpKjN3Z3uDr28o49nFpKA4uikY6QEizggieKXMEBzMSY4g7g1uXP33+AiErQVeI/cdcYKH2ivotP6AU7f5bkKqe9hunusPoeq72mo9zngNKd/Jaln/ziBybLxtLWvxuI5fVk4t6ltUevubw4sVHDqiYccIx9h89efyLjD48vqHR34Nbj/nNP/p4HR9fAo4/d6wtec9R6uHRbi5G4LH9/MJeT7zEB3qaLxqgLruzE6AHD/IvYVgJQIGDu+VyTC2pBMSIohCWrgfsjqKn4OAtsWXB4hJOVSUrptpwIqNSBMLshCrdUTDDmXBq3B2FsWaTUUCeniKM2EgfTouas8GibHOCuri7W2kyPGaegRcyQpoQjom6LV6NK+MM6Gg/bHty76BSRU3TZbzI9y3Fu8zex/pCySaFYa3UPgPeSTbVU5LN+P2Qkpn9kRjBa19YPM56FzujeboRewUnAu1xoyXmj0ASAF3URwDMmsciHbsLNcQd3KQxrh0C+byYnZj1NtSJAHctp+vOjLNcleTjaGsNLn0jBQ62ZiyWla0Zd4g3Jk5hC+SqToT9FkO8KOPyzmAmStf3m+cgfC7tHbz4TK6mtTqJ4ZI3m2/K7wKpJBE6+rlZsTvtQYmeHssHPgeUxjHAoTFfD4qKeNZbbacZmzPAN3hvjNY62tTVk4sV8OjKLzSTQDg7jmmcAZUwdtY/3UbRIQ8yW4+781JOuQxM2Rg4FeUYgPgnrYo09/7k461Q8vMZAiwZ9KwVM2lV3POL0538Od+kebk8UscrnddxrEfLa7bO9Je5+mkxS17UxhoLUGl7edk0Si3TDcL5bswGkPcKMC++7PTBkzgyKIdljxV73KOf4+uJBz5CoItkLddfCHZqVsKSCHBewAZ0hIEpAXOgA4xdgY7+ZvvfY3+UAEwSB4jU1kfKdo1PJ3V0T8XAqe1dj5OdIfFvoAEOtQ9mh9MTAOgmfWIcSDqKMTQ7CRoRJ6jdjfaPA24wQ9UZseCNLLEDAXleNo1xXcDIqmSfl051ZcRN+2RF3eW5IpgrEwrq7NQcrATqrcZ6ai/OHEVSZHMSBDcTg0IBoMhnFf4Gsw0qLFG3RRIoTxcmH9vSJRgjU0hlCMnuRlWULllgAwZQ6RgB6KCutl3gWVuCQCxPi4yqjN1BAwHEEtcoDNLZ516GWLih1EXgbvZm7Ab60kAlwhyqYlDc62C3s7V1bCoQcDYmdjjq82ZSQaN8HjpCpQXh4SfjFWoTXVOsDNh4kpazs0hXMB8sMhhyJFaB822vNw2wlXEQqZMrryyzuZjNS+LBvp9trBGqH9K9NU0N49ixHxvGqaM38V8nZgyloFaRODL14FAJqOiQ6WdeCH+SKlR3xqx82tHpsdllIS6sT3PllkpkYyp9lvInr4tTwcWQCU3Kyszjl/UlHzwo7UfwERiSmax/Nnp3vP4oPLvxmDbFywLsAu6ibzR21oY5kHBaeqQlGfxkKeO8vsP++huW4Mf267EHc/GjY7d4R+KDXzA08wauJx74FI7AbabCECmQqJ6MMZo6QsAAOR6SD5IiwoxwXYRMLJ5iEAlBVy4w1Ijg3KG2FZATadW6qzINb5eKN8xo1ZKdWpuMSM+Iky62xhxMDQrtuqUnMNBmYnmh8iJRUtkHS6ZzS4dgxMnilbD1XYGKe5eAoUFrDjcqCyAxmyGLbwRwuNYnmyHJiSajlC/FaC45gvalcIAuojDodYkSMpMSZm9gTX5gF3yB1eCd9e0LpsWw+DlpDlxKYNIPmw//AAtkWJIXFoFQUTRqMnvgyLAPUzJl80Dw2E3GODvH3AVzMa6kY0RwUGISILCH+INJvroCRmYBpLLOdA50UZmUMtRo7G3xGglel8kE5iwaro4KpqxtXXCfeIP1JxicSTpnP+vchNpVJtalcgaYk6ievY3JkBPkasT4m6IxnECS/hXq0QygKBrnDxtNid87M8axYbsbcb2dsN2NaJO4nFcAAwE0FFRagUp4wUmXFqos/0uKeEJR/RcIl3UrKqTL7i+ZH2JcfK/Px8rn0MGY9c/WRzya+Km30Vd7cH3vw/w6ZNq2/rwu9/g8wBR+HWXHuUwCCrN3vA4+vnDmWtSzfOFhyXlf5rdn0pg8kN7eBK7z+M1JAo6N42JID/qq1Cj9vfz1+PV64c8XCiY98cAH0Hg4zO6GbZIKO901hMulndjtpGRxYZg0Bg9rnixlfL0UVRPp9BXynFwiaQI4qdrmRL6jswRQ80jEBLDbB5EzTEttYZnZwxpf1ROIE7n1o1NIUQqTpoZgNDBQyF3jRXVFWgdrNwimArC0G+AGO2cZaHGvESIP7tbchmAmtwjbGtgYK9Etkn3dOLWDCMjYEQ2uqmF0GS+lBFyKSzGCr8o7srF5bo8xVLM9cboOhH2SGrMHjWcHWNYNASFCTKQ/ajGvbTDXd4nPKAytKfFxSSHBx1SkLRZ40AB7ESlhOPy7V5PDCwYIXQCwijw8po6uSXTAY0YrWKRugEj7xnB1jCnrImkrUo3svJygewQcqhjG7PRNSHCWTRLEAMu6sseazqO/JjFYd/NXpu/G8DAwFJcA45gDB0EmUYQ1P0OssEPKsAW61w5ziaWyS4yz+CL1KUBg8XDrnbEfJ1xvRzx6tMPl1R7b7QR0xnoYcLYZUAbNY2d0yyXIC1bBptYyCYbujST9caVWD7kZtC6TnAWoSUzY3kXwPZiQitcR/VOaROn+op6s94i9mab7GCc8CgTooEwGLQuocFBRSAwzGGD/yd9wEx7jeOIYZsv9yofYY9dBFOQ0Tpz6POvb0bE6BFZz4HSkeJqPkFBhAZJeG+Z4iRuLvjZg+nxdTzzwmQpjTcBg6Sn0lG0SiNrVY8elGwJsJgCl6jNsDE7yZJGmqgARSo9Tu5FPZ7IcjEEYWRAOi7Vi6SsiexQ747DTJi/WnzAJldBYglUFM00j+FZvEznjsUSthQvQGTk4o/BlVq8xeK4uyxfG6stt0hdLjdGcUKrLsoELkszzBug87rKhGmPA2nYh3KTJUUNaQvqcMElTFQKiNlSDcUDVGsXd4AUqSNPIYvZAwQqJUTGpCGeuCEvMMiYixkkJOrOBWwNX5CoiRpKoEcTORftTYXMPlFKDFJLMkse4SWxZbhMMDM3tMKRNlhw3yQeDEHOK4aT3TS1ZYCEYkt0PkYKiJB2yeebE6LWfDiJ1bVpbPU+X4SSOZ4r22QDscp1GT44wDLKyxmzh85fd4YMHJBZpEgoOSaFXQdb21FgHaQiJFdVUeWZwAXS0slkBmzUBPQ2XV3s8vNzjwaMtrq/2QGecrCs2K8LJpmK9qqhD1T1vo5EscthAEAdwMXqRBowxpyH2jP09s+9ZPCfkKoCR0yTA9yencQ6Viu4b259pnHxqklTO2hFqwPmYzbkqDupcTJU1ZwaNvDwvvvuX4209yqUTUDraIkIciPPPGbSld8ojx8CRU8gjDcYMnMzn4rDJDjuWfV2An6NX7koq/3pBzGG5Lyz8eeKBD3HEqyFoHB1NzkjKqKvpMXQNNYKEsVdGWDTWTEbdIkI2Jq6buZBqCVjfm4im2lwAKj3RxWMntKwgKIUl27oG9iPEibenRZ6DJTqzhXlKsS9UMNxg1jrgsXfYWIZuYLZYIgRYQlXrpcaxAcQ4uyhAca8lG3MQRM2ntlROPbReAkAGcMqM8Zi4x6RZRYvbOEjsGKm/kllzxzjKV1adv8YsYotNZM7vCvzmsweqZTbPDKjXXFJQaK4vSoUkEjRUihjddANaZQhEAHeV9pARZgKoe7Z0k0wYQ3aAq/2c9BnP7WXrSP9L0FNPb0EYIzilwCqPXh16Om+vPWsSB/fAsQVl86Xtdmbo6zqSiM6ZQ+ABUiDhYFUB9YxxaRm2dqUKXA2FaGLnnrzPydu4fDGlOTXQ5UwWAYqkGvL5pFgEjm3MCzRogw1VrDB7S2fG1BqutntcXo/YTwDKGutNxap0nG0qzk9WON2skXPRnAABAABJREFUMQzF97WrsWyddwMsFAFWbc3qYaOzSnjSvDo4MhWXzZ16sdlhwZptr4vICsYwffJn94GEGZnTmBpsi+/L+DHZsu0Y8/c7CQAFVMh0ZlbpYxhuvnNEGnMTX579njb87AYdKf7a4IKXVXD09Li8aE574+e0N143wFiCGQKIE7Y60v6jXZptujfw/s/f9cQDn0HIkuaXEkZvUXJFFB77iCGMukFVP73BMIQkwjRwEIADBSjc1TakRNJFWDA9XThktjBCJYomORVGFUoX5tjIxjilfSaSFqBmfTEliLWz2L/kDZf2GuGU5FhonTWQo24ot+fgYGTK0ElVEgyTBLETcTLYRH4e1N6noHW6gZxTWJ88FgzDowNCVXIQ9Z1JDSShavEtlNULBjiC4DpfcsApjKHAZdKUyIiCrK7uTDYGhsNYX8jcRJUHk6BQGIdDbWXAGT8A1Ge5sGx9WL8EpFYUiMeYMDFyFYX11eosHDF+ioJ4Mzw3djQDijoYkSVdV5qBVgW2nVjHjPT9JuHrsLQVZH1yCh22NgFQbGctRPfeLmhcm8TE/eQPl7iYZDGzFP/XGT1pU7xzM0bn0bu9BWFXxxCp2qBjZkAzwAz5aNqY2oeif2SsTCFpCyFUZlKiBK1gYGoN19sRV9cTuA84PznB7YsVuDcQRqxrw2YoGFTS03t2M+cZkIX95ss4VF52QDLpT2dLTYoAP7oQTX1odGcp6YSv6SSh9f0XoCZGNuCIrzcbgNn3+eUsMvFKpVox/gfMPOZI1kKGQscuPvIpAY70Y9538/fN6+N0nxalD68FECBkoc3sILMs7n1cvoDyj8eAxmzzHuvcY5u4/H0GjPK4HPMce1245/MPjp544CNWKQYo5M9Q6sylqikzEQkGuxuvic6JGBPHoqIiahI/ESpxK0wg6ur2rIbFSkOsRiO4FtSsJkAWBKO4x4xJG1gNHqkAzVJLsEin/ATL6gqt/S2lSN+IFQAKSAAHaQiaHMxKwJ2JraXxXePBkK/vQBfCVE2eQMGYrO0ksp9KAi6omCFzIo5m3NxFOtOMcZMERRQ1GDm4EZsSi6tjfJgA7mqAbYQ7JB9c2EEg2bgxPDALdYTRMoe9jKm13OXdEZH21xKpcpyWBGzL5A9KkG1siwIxo1XC20xqVPw03kntpdjCMIhatXHHRCZd1DH1EVWj4xkXQVAhVnswAwBsa4zdptlUV5mQxt9BpAo0zBHgf3kcSnB6h9lTJXCqkjMDoSG102Wl9wJG2ZjHXnL39ZiKGSD26lObDVCZag72Ll2vgXKs96FCs1sWcylyhJG3MthiaojOgxkzX16P2O46NqsNLk7PcHpyCiKg8wjwNYpaeXVdy5Sk0Vk9GAk9GSbNCQYeNA9g35NZsWXj4ZHjZzDjGKNnt4skA74JAMU8ZdhhiquE/vTekvfmNx4yzDCsnpuBRZvz2JOXmF+hVku3jeblezY4s/4vAYb9xr6WDl8ZOyd+yh0n8Aww0GE9rwcX+KClB17rOW3HsfE+Dm5e+3pdz33+cc7B9cQDHyOoxnDAYkQZG6Uog7KFYts0vBLYYhKn1cuqOrK84MSm5giCGJ5g6aQEgEjyaREB6GZEHW+09AaszxukaFAqVaI2I/ySY1R/J1VcMaNp4tBOc68Xsy2S02swGQMlmQgVSwGRNixz6OIp/076EgVjrMxfJECh/jMCygzxztLnI0mqjlmSsnC3wIzsxuYmUTOiFO6gJtWAG7paFvuInCvroygdE+mb2BNBQwvYQHRmlGpzHeMvKh2RXZmdkaXJqDrvFRTG7SCAesSAUhDUba3qnEuOOEZHVyN1gNExdsaIjlGlQw3AiI49OiaSeia2dSvj1pScl6ya5YgVJejL2sYBCBM9NmZLanhv+cFg86+rwaQ4AXpCdmLSCUoL7FAyRMrLg3DbGgpek+2w9BlK7DwajWiZLE5TGxaElMckmrbvZyw0S3Bksc+ZWP5G8+9Sn71d4vRc70dcXY8YdwXrgbDZnOD09FTWeN9jnCb01l1dZfTEXMrjAMeIgF4mCbLesq8jqJQogx5/Ph4JHq/jbfdnffFtrr1yehcAS3exP5OhlNWUpieNTsyVCfA4PZM/5dXCi/vHOOoSQ8Tvc7g0A15Gq+3vtLCWT2SwfawFviz8fpS4if+TtyI3Kr3oGHhYgMLDSikk/7PWLdRbR54+uD/bw19wHPOGrycf+ECkKsKyiou/jUl2z9KtpUk8WoxJAoCpgCoLM6qlYOJwDwWgwf7kdObMoQBGBHyTKYUpJt5PhCwi4toSE0YaMZQxVzlRCQClGzS8ecx+KdRD7M+raihtBIN61LUtRT1j2Lxt4HF0mrqSy9AUEGUJwaKv7gYtd8MvLIPRCDkQI0Y6C8YsNQ8WyVy4yqir2sEYgz7LPr4qKTFzICNlKh2ydeDjrxRYTvTsEpEBotL0/uk6IIjbcaGKioKhVAwaiHEAoZYKIqByYqsEifqt8+RgjazPZvDePZggdO01MPa9YYR4fzUC9mjYo2PHDXvu2KNhh44dd0yQlB8dAYBYV1TzqhNxp1CxWuwfKWNsvCvYzGdtBFiy8Wf2sRbAHWfpUFHpWCfDKOuuh1GgWAk2dtkOK3KPJYakdWdibfV6nrcMsHX95H1kAM0OFjF7UMmn/GIqr5mqx6W02hgS1eHUG3b7hv1eDj77sXmuPyJCqRXUixETFZyoY4WPXmIxSpcM3ESqCiDi93CSKAdDt72UJeHw8jaOoTKysbI6oGMlc5uYoTFSjnE7vA564vNJULW5jV2iXkZTlnVmiJJqTGPmkzEDNwbg4gYvP+rnec2cnrQlw8f6egQROHiw0By+RmwfHqsktzzNQyyyg3feCEaOqrh0zhKwfU3bnqOdvKncWw8aPfHAx9QEthENnhsZr5SIYO+wUPv2rNmz+CmziA0QQE6cQeolpvYQAEJlonNuTL/oLinmXKxM1QmOqnacxOguFJG39MGDvUWQYmFmFCdtI9Rd+wR7PxmDzbhO7T3MsyszDg665sax2iFXEQBuz1MBkYI5SIl2MkE9rMS1215i7bE4OcV/hwIABlGosGysicLjJQerc9JoUiUfoVCxOcXX52VMRc0mgRY5Tk/cMRQBOBUiyakoWJWCWgTsVKqoRAJ6yoCK4p5LVAgmTzDiTipSMQAcVDTMk23NdbXTYpMAlQBBjQgjd4y9K9hp2BNji4YtT5j0tx03jJA/jRh7ZkwEB1mm5gmvuLBHAgIAmDStJ5szG1kzizdo27m7RFRHHdZDv1gBtx5CcnoCwLzOBEwYQwwgdgh6Mi/wVHcBpzC7dI9KeAiTJlpR8jVo3nl5NA4uA0k6xxkoyO2C1oH91NFRwSiYWsd+HDGNI8pqBVAX6ZO23bYIfEZSn9P+8PHSNeLjrYBIbh1KfjIvyoc4AX22Vu194Y04M+SmPOPkjZE9CSwGznsSo3gzs2QfxQA/y2tZgvy5G1j2sooE8nzeOBebQ6XZr7lc2sKvDROO3V2gFV2IM/Bx1IbmGJDRZ8E3eHkleZK/c2l3NV9r8+bRvPRjOnx4660Bgp544GMnZSAMQ+1E5hFcldh3VRG5JxhsuXc0ECwycOsNKzdkZV+TJpIW6YiSW6fUpIlIDThwAC4Y2EgbNhkeFxT0BidMQXcivo+1trC1OOL1SB+DqFPapZ3JA+lRLWi9JU8sUZVU2Elb3uPgSg1kHDhBCKir3NRw0lgiA6Aeaj0iM0BVt3gd9KYqRGOIMo0FFi8HIDVrYGdKfgqySVN37G6uaKyBBJMenKgA1GeEXvrOGCAAp5B4wK2IsSlVwA6AARWVCmodUKmi2FxQAaH6O03FRGQET0eDbZ2YSsOmUPLBOakni0kDdBSRsIHVNqyj9wLqBb2xewEyGAMYZwKNcIaOhgkNE5gm7HjCdR+xJQFFIwmYNEBvzTG3ZG8agmz5QcKkNzMQwgkI6KJLuhRXPVkfdQ0kvhl3jPZySBWdn3JUPSOnrithZ7y2vFRQI99h4Ib8j6u/HAHFJWUiHKrXbJX6I6YmjXdLLj5GawSiFQBV67YJ07gTCWCVDH5qXp5mI41KYmROTVSlZWPTLbaW/uwqL3+IZzNhc+1rEnDANE8hYlIBXccUkCegSVZ/xx6dHYR8BDHr5ZzxcroffV7yefKyhMOVla9o5Q3s/fjFuV+UCs9nZ/bIDRXGE7T49abfjrRx0WCnh/nZBGaOAi063sjHj8UB+nn8daTcEtd9IeHPEw98iqZEqF2ziysxqEqsGgIYGfkKV3fbUMHUTUrkgAcAGO5abao0s4EoClaaUmvbejmvEBOpOoncRd3E255s1AxA1dA3bxRShq2pDp3HuD0Nm/eQ2VMY8CnKOCynl7Su2GmPeKamitQU+fVzKZP/psDCVGIiSDJjSKFebtfiv4WNT5xaIVIiZrXxMZAVUhNw8dxntjeNyTW21hdnBu7KzOz2TWaXQ9yxAmFDBetaMBSRzq2qSHZWpXoAS43qBEJxNSAmBkoThAdooL0ma6XL4vNxKsZopD+mdpWQAmqYrtRhbIyHY8EVSygBsKiqtp1x2RlbJuy5uBSnFEItANBQiLEixoAJA03YYMI5JowYsaM9ttyw54YdGHvqGKFGy0zh3owgVoUNvBH8FDrjAQF0sg1H3DUD7Fwu1o69yXLDGfCTVxkjTusjvYC1DNt7EjO3L5JPS9ZP1aS4BfDfdVl65PIZBjI1l/7oqrP5BvAvEduJ0TsBqFJHAWop6H1Ca5MAWOreRrOhs9FI22322Zjb8rweSIQd/IRkUy5T3HYHE6FiMkbvtWY6EFOEJRB1eqH9cMZrQ4YEhAw8+RLKFOQIk1XcwdYeHwv9wkE3jC47o50BJnZQSFgUTB8PVVxWd0Kfxz7fZGiT+hPYJPYAzVsfHfR/8rvm9c6FQfOBC2ntsV34uIoeB0+W73jrgJrXcz3xwMcPf8VcsWNZTcyw7NYAoTiVjwUo3lUa/YUMjAAWhi17OUjk3ALi7icjJnJCYW6jFuEYkCSOXUGGGwqy5RMSYNITdbfknp7HSEmUqwP0XWKrxC4BynsyAxJLFVWg9jJIhJ5irKIO0n4FUzKJTtcXkARUCUNpDvsZ0nY7Wkq/dTuV6ng3I78KCEilKMraYT7sZmBsDNekK/JeSwbaIZIYG0oBsKV3DESoDKxKwYqBFRVshoqhFKxqRSUpS1WidA/p1A9wSPV8wBIj1zlFB7g1MWY3sMNFDeY1ro6dzIkw9o6Hu44HDdhzwVUDXpkYj5gw6VqZmNFQsSOT7gn7BiQSthiui7KpqsTqtG4wcANhwkAj7taGUhpG7LHjCVc84ZInXHHDHpLKRMIaJOmbgiuJ19MTgIFzRgvI6f2a7Sqpx6KlL5ET+S9kDncac4hm9aRl7QzR9g+ZUXVewzruRBLSgpQ7zgJpwhSiSdXi6VQS/gE5MAJsL5qa1X7TWs0eiipKXaEURlPjPGYG1YKqqq7GE7i3g77N2UmwmGBmpCBHGFe3rOv+35yyueprNnVz1sq2lxO4PXC99j7rqve4Eta2JRGBM/r4PO+VzMmiz0ZD88DMnrH2HWHInPudih+AgRvYNS+/ZjC/kF4eiB9nzYs2zepOq2rWpkS0c7Uu8k8vsWE32rMUjR1rTLbNWtZ30NAbf7rx1z/a9fmBTU888CFohmz1gjGJihnsCuMyo01hpsIo5WkhpoTa5TTmAd1UYtQLu7eRqCiU8EAytLuuXgmBeVb11D5j/EKMith02DOdRfvBEc8DEKAkWcO1HaBIxEpFwZFmWFeSV5QudQVmyrZ1DCyRakFvZk8DDZQnso0OkUBUI/JqecsUhJUMkSVrZSK4ChCAE8Qi+RB821sqBj+KKcAQKZNsZEvGauwziEQBNGmsudd3TTtRAAwU55vK2l/uWBNhTcBK1VhrKliXgmEgDKWgUFHjeCFKpVBIpRjCmom9PbqiVFLC3ndWRtfJjOfF7ixYnEnzRFXResdu7Hhly/jMWHCPCVcAplrQbVzUAo1JgW9nrVnGslYNrAdh0Ne94mEDClcUVJyUFZ4CcGfNuKgTCu2x7yMu2w4PecSjPuKaG/bM2EOAFnu/Ql2Z15GtagP51rPMrUzVa2vf6pyBRgO1NrIUamGzi8rvJJB7VprE0qQWIXdKbWCZNgHnFOMEUjWr7cuw1SsU6u7M7ZLC2iFAfptIjwqGusZ6VTGNE5gnX0+bk1NsNmfovQFgdJ6A1nVFhOQnvzH6bXG8EjxKXNWlPYFd/IBhgIC9Rj2oyaPKG9XIVUGQp6LQteAaSoYfAo08OtRwdWi+tL2ZQSembxKo3GX/yZl8jEUUP5Qwzi8+evNAHWQVJnVlhoZH4ZLRX57fm+G+hDWAwB655CFmoRn4sefMcePGazEQB2kxDgodqsbmcqEFqDyKrR4z+p8fTPO6rice+Jhuu4M0CJ6SQ1I3Z2YwdXXftVQUyWYF8KzixNCgrUUXHqNoXi5bIgSo67ixA1ajTSGYlaSOpsQ8p7GwgHjCA/Q0aBvF2loshrNcIj5PVs7eDnJJxJx0xikVDDQ16iwk4IlVEuKl2aRTCAmT9R32Xe2iAM07pjZDFMBubgtV3F2bQB6zp2g9bkztOczMdirID8MYXNFxTuorGzuZUjc0F8kHsOodawArAta1Yl0rNqsNSqkYqGBVBCiJy7MyWxgDg6hBnfl1p1k+Zup5J0DGCC2L1FFTclhcH4DAhdC4YOyEkYHWxc6pl4aTgVE7Y9wzRuoYm0gqS1kCLjPKVy8xYgd+hIpSCJOOoUiBKratYw9gz4xnTta4uz7BxbrhLu9xPe5wNe3xUEHQg95wjY6RugBqBR4mfTSybUuLEAEuESs01sLsCk6W+Z2lr8i8igE/2TpYYtvnCOkiglnNXhPbBO7VSKY6hYMa2RPF1z1QQFS93oA2DFiU9wTOwqpUypZSMQyEzWpA2wwA7VCpYbXa4OTkHKvVBr03kQThGuKL582GsaOw/sl9U9seTmPLc/CgJbyMHMYCDbm3K0xCRMHUjD65BMheQQn5IKTNs7aR/xb7I9o2XxdzRrvkkz6is+XD6R5562dww7zEbN3oSDrpXS7H1PG0Khcvp1j0jwM6+bcjN20tMs9vGN3necnZyw5GaQmqXgfSoNdRTqd/MX6v53oLIZ3F9cQDH7HFKB4NuKmEYYDt2UTAEIEMjUpWI8JEHs9G/tbTJWKfeIA7AKSSEk9FAEqbTL1Y9L2mYrJ6hTB0NYZWJqrMjGA2PNJuUfOES3m4ZpvKxzYVoaoKwtxeE/6JDV5Yvbw1zouv+CDwZnNkTKZoTBj5X2sigEkNezlsbkwtZrvTAI9JOox5GhMzg0jo2AljEhVL56JAJDzxZLajHhkvxkAFQ2dsCrABY0OEVR2wWq3UK6uASO14IKELJIlrF6NljYeUjzk21vCTlwQ9pKIMBkXUFmqfhSJt68q0myZpmzph1xvu7Qn39gVXnRRMVnFFL8DZWoIZNgaoqaoEDHCBpiJzY32TxJWixvjoKF3mjAqBSxVJExW0iTExYccdjQY8u17j1nqDi36G/bjHU7srPJy2eDCNuD/t8chc5dEwEasE0Qi1rXMGTAWm82bqMCH0lNQP5PPGiDU7J5oBZmysTWXll66JSJ8R66bDYiqF6svi+EQU5tSWIyqsyOFlENvAWog2MyDypuk+leqLGMoPBb2LB+jm5BSr1QmGWtWB4hjbzPsiJC22b+VtPUleu/OocJgIaZ1Je6z2zMvja4IfijZJD2ZOzRRAQemRSdDtObMtme0XjplZ4gBT8wQYWA4F+9rJY2413SSZEHLDR+ucARsDQjMskaTZ/iqK6pdqqVyn0+kECh1cxjPLGZ+DnENg4yUcHKXyy+ILscyB3dbRPr+GJOlx1x8B63wh4NETD3xYvXqKEWdIokszBLYl01XagCKGxdTZN6oQHXLyUXUBixorGQaz8jiIASgoAI3gKCHOJv0ogEfL7WTCeHIjTosp1NjqKdYpWI4sAQ4mvtY6STeD1mk2QyZlKCq+sFOF0TZpiDzvpt3FJCoWO8gYiwAqc7w3lQ50KGrqt9OKLhGcTUwL0Ixx2mnb1RNqYG6RTUV9pHGZSF+kdcwUHwSNpwRUbhiIsOoNJ0Q4AbAuYsNT6wqrYRDHcyZw61iBxW1dgWdhdiDla4ogWjiNtyJrTMBuUZVbp4KJ1fKpM1AGQN3iO0TKI7ZZwDQxXrxi/N6W8CoDO66hfnf7kIJGpIbK1YFhZ0bnJu1nY4MqJdO5BFU0y0/XxR2eFOgxAVdMGJukGFkNBWenG5ydFWx6x+n+BGfba1xsr3Fn3OFhG3HZJzzgEVc8YQdGI7iTwEILBJOkZLuOzNgYsc8AMt4GZqCizJ4D0jq1Pcn2FvluUkQDOVkCZJNHJaSY8D1kFkXzNurEztRbTHKwEClQBisKciDjm0eh947eIRK7yaQzAJU1Sqlef5aGGcuVEBscNjO62gMW2lqJEbK1kd3b4Z+TCtGkP7P3Rl9NIuZv0g1mKi9LVmzSI9Ix9R5kSYYx1iOcjhd/BzRKl9Kewzt08G02Nov3Z9d1609IxY2Q8Rwl5YoO9TvHoYI3JIjsMQbPB+XtOyWVnjWVFmV4EW8n+pfryerEN6oi+9xdx0Hd5+N64oGPSTiqGfMqITMjY2J4agGzWwDk5N6MaBoAIjGAnhMguUqePwUsphJpbM+wq3qM8pcCTzlgoQabE19hJJYXqiiYMSIjgIgDXCACujV0EdWzyG4I1YEag10C42JtGxMQYMbZEIJbaREvxECe04gYD2cBHaKF0pZl6OAB7Cg9qkmcnCzryTqkPAo29TmTtLG9vsRbCgsLWzFjxcCaOzZEOC0FJ6VgXSuGOohxs4+8vLkyPFhhAYv7vfbcTo1EBdzYVZOlKMlxkMxq9yWG7gxoLibpbC1FgAjEnmTqjFd3HS9PK9yngoaCeToCAFSFyCngo6IpQAAwrwCW5JetNW9LZ7EZATVIUli1q2IGuIlETmHSngivMqM+nHB6ssbmfI3NqmI4WWM4OcFmdybgZ3uNR+Met9uIB22Hh9xw1SdsId5gke/X5ixssqCnfZeAIdTD7iTgqyTsNnI8IQAzVS1gyXDZ7zl/879NmpRAjN6yVkRKYpNUqD0P5rZbuXxJrZ0/TbPf5OrgPoEb0HvRzVvVcQLaRusNz+rJUoUIOMrpmfjjiFLXjqw93efpUaNesn9CGpQ5ECO+2hwF7IpP0t4IqoFcV3YBzYDjsVwu26IkjsgxE7n/Viml8TgAGXaAMNX0sg3+/Gu1LvVn8Wtqirf8EILlNZF+o/yMrX56fYCAllgnHrr58fmdpZRneXf2zXHU5xmtvInXEw98qGiQO86bIozQDESsSIP9Cev0TS/Mt2u+JThDJhKVmJzphQhygucdjBVprqWkIslkhaBG1Cp9qQo0inOPdDKDSD5EWCQMcIABOztpG0lSOyCTViQRs4G4puFtTHRMMCNGgy9i42DG1YAFrRN7qGq5uVR6xQQJsAizAZJnTKVmhMwSXvo8KDG1v/yczGGkbLdFWyTArJNmuZ/RalFPrZixArChjhMCNlRwUitO1J5H4IaAi9YIlnx0oI7KAXos4jBIZQEuPVCPGVK23SHRjAkAd3ATiQuRSco6CF28wkqVMWkSrI64Ah1qVyXz0nQuYXNh6hUOqQq6enJBmH0tBZtBVsS0HzHtJ5GYqRF8JYkAzExiBK5ojcgiOBdsJ8LL14zVq9c4PRvw3Okp6skG5WTEsD/BcHqG9X6Lk90O59fXuNhd4+G0x8O+x/0+4mEf1Usx1KigxRTFZCOAgsHdWC8mFfDggWxgOJiFMXP/lSO9i703GEpRe7VogtmvGSsqJPZ8ztYYEjjUWkoGusIgOlJaRD0mWc52PhIuoYO5ofEAKgOGoYo60l6nEhqvSPfjrN82kAy4/ZuBOgMy0XxnxOx359chow+KE99m2EuZrJaz+TU1VGpilv5ZW0j7maFDgnVuP8hJssEHJdOcv9Y1w0+PAzrHaguQM3+bgi6232l25/U16Ph7MAMV1nbjHdreY3jDae4csMbHOdiK325q8eOgz7FSNyvI3orw6IkHPoVD3STx8braQpBKZDQ6MEucH/dc0c3fWCQeUKJkjCtm0uKMmFpJPjOF5KYCzsg7ErMHnFgwgIm7u7Z7/BKGSJCU6JJSMrPnAAitQwKgEdTtV+IHiRSqoKlCys88+g7bvCFdkZYYiJIIsokwsgAL35RG3aRBACwmSLLV0Lo7BbDyAz+CEBqRNwmPCgTiNOqcTHJXkX8Pb7CBgQ0zTgFsCNgwcFJFwrMZBqzLAICw64RtIzyaGNveMDFhXRh3BuCidFwMjFp6YsCqSrIdbGrQbMHdOFF549qia3IxOoskyNSS5g7OU8duBKZG6rHVBTyoCoRZAHkBJPGs2vcoBhTD5bGBqaFWgErBsB4wjiOoFHBTo9mu4QcKqTt1BYrUCUi7rifg1auGR7sRvRTUzRrUV6gblYa1hmG3w+rRJTZXlzjbbnGxv8Z52+LV6RoP2ogts6bUkInuPn1BdI1+z81R9T5HmhebZlt/tuqXsbdCzUaxPx08JeCse98M18XOJ2zXZFzLbA3awYQ4ANAxEj8DPdC1oXukFkKtDUSSh4sIqLVKShlLRNstgGGqnyntAR046zuRHEw4VGfuwr5QczkY4pTawsc2OGZIgWMtu1prhiKiPeR7I21snS/39Mog4gZOeByCLNlzkirrJwMKoao6rDsOnVHbMUD1Wt/ip1zH8bUQq/X1XHMAdXg9Dnoca8NrQ5U3du+NXW9FsJOvJx745NE3wF/I1EqaDgDqfm4Cb1aRvW72rvYoJrkwZm22MJ6MFAyxJ9INboBIlPlgBQbF6xe1jLnaD1QRGZVUJM9yjzXVQ1VA5duYu0tfjChbt9naCTF07WozUxf7S+VMqKUok5ffuwbeMxYjqhsoglSox2qcbOpAKEEmlSS4DQAtDsFxOnUvMmUurlbU37qCIpRIUhqqCWBgRuWGFTNOGDithDMq2NQB61JQS0VFResV96eOT+8Yn9kDrzQJ/NeZMRDjdmF8yYbwf50ynlqLpEukMlBq3cSrrxjQNXSm5KfLrx6PiAF2JYxiQ2pqYFzE5qmrQS4IY+to1AHqOiNA+Ad2Bwe9swYntHnqzvTMXoqZUVYrcO8SN6axSw8s7hFzQ2sKNAtEukaMHQPbXsDrc5TNmfSVAKAKcJpG0Mkl6OoSw3aLzfYSp7tHON1e4mx3hQfjFo/6iC0Bk7EGVR2xMw1SvDwnj5S5IidwHk/NWKOx42xInZlbjsaMqFmfTWzUMOxMvRXABcwi/bFFp+tZXwKDbbJnQ45lxRgkQGc1oIxiU1ZrxVCrSmAbWhvR+yiSHI7Gzrar0aJ0mDlgl5zAi4Oh7lXafDJkfcd4BTTN0ZkNEMn48gxQ+oHA9kN6Llg5R8MWwIRt/PIBB+wwZj5Xs1q8nyYRdBBizcgPun5mDq8M0sWaO8K0Fxz89TD04yAuFiGlr6+rbh1rV+4d4B0jnjc8rp2yNYnl+OBIv1+jzsddN0HBt8r15AOfojFuyACILkciF/0r6RS1O0FO5SCAAmh0ZgzOggBTEZUi2zRHOBawYy68Srg5ItECZtfD6CSKMgZ74lEX2etmzp5jXQmw2RSx2rYwk+bEopDSMDkjaa42g9ZpQEjBFwDNUKrDJm7m7Goeew9UqiQu6RUs7y3G2ARcmfqEiGYqmQaTZtHB5nVmAwMQ4TYucYsyUZMM55WBdWdsAGwAnNaC82HAphQM6tW07wX3doTPTh2fHDs+vQMeccE1k0vlVoXwgIFx23C3AmeFUGsXoGLNUqmWqMnMKj2Rd4rOBI0N76Zudg/JuMkkaxIrSKK2tC5sq/cJjOIqFllXwjiahjEoxbO+idqqddQ6aN2EUgaUOmCqHSiE1VAx7kcQEaZpEtAzCOgttQqDXhFWZ3dAp3dAm1ONfi4sljtj4I6yuYV6sUff7bDeXWGzfYSTy/s4e3QPZw/v497+Eg/bHpfcsNO5s9N/Vtd2332CbmM0ZdBtr4KT/5SDO7hwzdyiBWiwgw+rhxAxvFxllQBRtsdhrchSVAheNKgtsreidnrh/UXzdtt3lmdLqRi4YLMmjBPAvWK9qljVKrSBO6a2B/cRYn9lfQt7F5cmI2xzfMXZocM+63iJ1E3WjYU3QLc4Yg5zAgiwj/pCeGOHMesh8k3tc6jczGbSNXc3cfpFO+zvY0UyfYhWCp3LTDXzdANH8jHKmBw2t2i+9uat8IMOH7+f3fpnNc0AhvXzceMQvTzyFsT4HFNU0eL3x4ONZenj9/9o11sL5hxe5bWLvLGrtYYPfehDePe7343T01N8+Zd/Of7BP/gHvkkB2UQ/8iM/gne+8504PT3Fe9/7Xvzu7/7urJ5XXnkF73//+3H79m3cvXsX3/M934NHjx698QZRd+Yii6k44xlIGI6okvSED8k+LQzWPCMggIKM7BEsGq5Z/dpCM7G+ftW6CY0IVBUEFWPmkHDJiE0q1Qko8sXPDEIT2xMyA0eFVQqqGNK+TgwupFIS4b7dQY+CPSJMEFBRdDOTc2ohWF1dlcFAb+wExLKcm2E4IEH4PD0lmWG32aVI34qKx6qSnEykoUw97JrCJom0j0I3FWxCEoZumHFBwK3CuE2Ep4YBd4aVAh/x1nq0J3z8mvGfLxt+41HHf78GXmyEh13i1zRmjMzYduBhAz47dby4Z1xPKiUxLKjjY2o1kdoxUqIQB6q2ZhhQ2x8bmw5JS9Ag0b27ql/EAHuNjuru+8Z0u+Q8Y1u7oi5rasg8TZbyoKE3UZGN04SpdbTWAe4KuAsqFfTOWG9O8aXv/lK884veiTKsBOwMKwACfkotoNUKXFfodQUMp6DhFGU4QVmdoKxOsTq9hfX5U1jdehrru8/i5OkvxsXbvxRPPfMlePvT78Q7Tu/iHcM5nsYat3rFhsUxwNJCZBujzExnCpViqinZEWbP5jZitj8Wn0zeIkyX/B1L9ZXJdiqFrc78XyuaAZT9nplm2vAOhpTqUAWVFWrdYLM6wfn6BBfritOBcbquGNQBoPem0p5J+uGgxjm+ryPrqWz97uvO1uAMfHthZXEWBgGxRg/jKqW9mYBW7Ns84jYOYTeJ9FTYqnlvjsxbeisfkWAByO5N1m5vp4ESrZRiyI4y31l7EeM1Az3ej+hjqA55Xhdr+5ijcfNii4YEfOVc3jtwc9vtnTdBp8OO3gTl3mj51/XGPzbXmy7x+Yf/8B/iZ3/2Z/ELv/AL+Oqv/mr8xm/8Br77u78bd+7cwfd///cDAH7yJ38SH/7wh/ELv/ALePe7340PfehD+JZv+Rb81m/9Fk5OTgAA73//+/HpT38av/zLv4xxHPHd3/3d+MAHPoBf+qVfekPtKazxd5RJh7eMflfTZCZNNcGAZFJmJ2ByWgzjsuxJZVUbsxZvKT3NsiQm7Mrc5vmyFCSZl43WR3mDg+S7eUZQAdgC1JkKQI5wZNIaJfa2I006ZUSHAAcsYqMi7+4I9RqrVIl7l3FR0AdlBpIcUwmoAp3s+RQqGiV+fuyT4IZF73Z/UN3k1Q4IYI8/0VtHrRXcRcJTAKxAOGPCWWGcEnBCFaelYFMr1qWKpxwXvLrr+F/XwP/cMT7DhOsu88HKCOVV0ogOCQz4kIAXdh1ftiFckBm7soBh2BzZ/Kjeq7v+S+KzaL4IU9lFlOFkH6LvLQRsBsazp4zPTh3XbcKkwQC4m6ysR8oGBeRwdRon9aHNu8x3KeIhJmumoLUu3oqYcO/V+wA6JHqMvo/E7bpxwfU4AWUAlbV4H9ma5BQnmAg0rFGoAmUFGtag1SnK+gTDsMbm3ss4uX6E83GLh7zHQ56w7cBUEuNia3melACbpj6J++z901ueUDhxWF+rMTKUbltk5vDqI4TNT4Y3tn3ciNk8MvUo5VJVtnCeBNCQyhQQrUBcUcAYasN6EOC7qgxwEwlzbyLtgaXzhfdlznKCfsmcmRSGEyAIy6kZ9sm1Gajh+Goxejgtch9ugz5ZlaX3wgItX7ZfdP5Mne0Q6obLK17UxtYrGwKtzYfDG4q0COLzETBkdDuDtrnCDfO2pOpyu2aVzu+mB+e/kjf+2GNLWdTN7z8criOFDn6L78dKP66mmxuSf3pcrW+N600HPv/pP/0nfPu3fzv+/J//8wCAL/uyL8M//+f/HL/2a78GQIj2T//0T+Pv/t2/i2//9m8HAPyzf/bP8Oyzz+L//r//b7zvfe/Db//2b+MjH/kIfv3Xfx1f93VfBwD4mZ/5GXzbt30b/tE/+kd4/vnn31CbijFTKFghlYjo5FQ0EGu2deE4mgpCTthdGYx5nooxNOmp0TxtVGTPqsICnCgSTIXVjVqBwBqwDKJntx2tEpAJISaeyZxV9G6SITDEJVYJmcUyEZdvVXcwgy3TozOSglIKiiqimMuMqYMRxs06XoCpCzQwYwnwVZTBsgIYkzQIMQ3iYhu+KWhwgmj1UaJrJIa7DDUG7RJ48BTAOQHnRDirAng2JDm2CISpMR7sJ/zeFeO/7YCXuWLU/GTdgI7jCPMEksEeQXjAhIcT8MxAWEFTnnDEmCUbiK5A0fY5A5ZaIxN+Ofn7sAKFBICxJPpcEeFtQ8OXnQ2497Bjz4QdaTgFfbcROKrmTde9fqgaiXX+zeXZ20yEzg3rlWQFX61WGMcR436Pab8XQESEMoi9Se8Dxqm7pNATZirg6r3BTrds7vpU0GhAr2vUs7s45YJaBmwevoLzy4c421/jpG3xKk941LsnUw3Er+OnSChi9AQEyWlkfDukf01yYSpmxeoBmhwYKqO2AwRir0gbSNe6yZsqAHE9l+fkj489Wys1ujNXaDx0gFWQWWRt9C7GzeAJ6CPatAeXgqbSngwPZn9zDJNBqqZDF3ZS7H9cUsTzX6HjlEGRP5te4KodOCLKJfVrBhsBaRQaGSlbvmU2b8fgykG7dB6PTjwvy9Ksfbl1eRziPt3w3nhe9kD6VUGYS6rhVGH27Hx0Dpt+5HWvffk45FqW4IwQLXv89drw5w006Y/R9aYDn2/4hm/Az//8z+N3fud38Cf/5J/Ef/2v/xX/4T/8B/zUT/0UAODjH/84XnjhBbz3ve/1Z+7cuYP3vOc9+OhHP4r3ve99+OhHP4q7d+866AGA9773vSil4GMf+xj+4l/8i2+oTWaEC5gHUAeR2Ox4XqceBM8WgxAPE3OSemWJK3dhceSxE5d7meirikoRpCaTBiUttnGybid2zQHFNUTXxTJJQxiO7qRsYGx2EmApb4RbzrERj0dfAWZ1UwcDmimqd/I2hLcMgahqW5WU2fG8k6t8AMKKEMHypCdik6Ofu0nC1DK4gfTgHGCMINnJCzNQiuAKG0CV9mwAnIFwqxDOCDirhLNasQIwUAF34Hpq+Mwe+MM943e2jM/0gh0YjBYEw1R/JPZfFmtGgC9h14DLVrCnhhMKjz8qhFKFYfam9kfVEr4SeBLDZcOvIBtPA7aMshrABGwuTjHuRvRRJEQbAHdbxxedFKBXfGo7gUvVikzKICquUsxgOpEtBULUCFQKylBRhophtRY7oNZRq2ZtrxWdGZuTDdabFa4ur0GlYr1aYbff43q7xR9++gW8651vx7PDGnXQt7UJ3Eb5tzeAOyYmXO5GvPjZ+/jMK/ex326xLsDtk4rbQ0EpZ6DSsGJgmICBR1Q0TB5p2BaNsHDNFIxsT2JEnijG0VaNDQOp5JLZVFVw4/hYlwJwauLjfrAgBTgKaiTAptg8oQ/oVCEBH6u4QVDVNdtcCiJ7uMIkPZ2BaZxQa8fZRihCGyeM4xbcGG28xliAUisaGsBNMfMhK3Hwo9w7g6FQScVF6XcHQmzgMCFNXZs2Rs7gg2TCbKbSVLg008GGqdJUBW4g3Jm/oqBMYXn27fjl0IMXgCF9PwaUooeL2pf1+BsyUMwSoEWdnN4yE7UcorI0Ojh863Hw+Ee6bkAej8eKcvdYGT728I3vmf94dMzfgtebDnx+6Id+CA8ePMCf+lN/CrVWtNbwYz/2Y3j/+98PAHjhhRcAAM8+++zsuWeffdbvvfDCC3jHO94xb+gw4Omnn/Yyy2u322G32/n3Bw8eABA7DMC8GGKRFRX9y0bV6WJRZJk3lwALkXuYcZ6fFGyTsEl0YhkrCQ/iqhs+GxgbVy/aLon0IvFWikpkmklxkLyirE4ONRuYUarUD3+XvEhNMGFeaNLIbpoZLWeSIgEYIjLvqk4zLt7FbifZSTAD3SRJ1Bw4unQCcNWWSE3y2DGKAq4ggxrDCCHwJwIGJmwYuDUUXJSKcyKcE7ApBWvWSM6dcdUYn9x2/PYV8IkJeLUT9ja+OnBx+mcl3sWBpoHWTgBX+WEYKmrpqOsKWhHqepCx2jcxUK+qKOpA25N43zGj7xuoigqJCgFDAdYyMEMpqLc2wCVjuhyBWlG546Iyvng1YpgIIzFe7oyJSFJMdLhnXm9tBqSd7ZIRWTUWniaMrUs7iDAMawdItRQ1Wi44OzvDfr9Da4xSKpgJ1zvgd37vDzHud7hzfgq0EdPVI+yvHoH316De0IhwbxrwqYcj/uDTr2K722OggvXJCU43K9zaVGxoRNuO2I+MR9Maex7A1cA0a0sZoI5CDUQTOppoEIuGH3VLfgU4yPNnRsSZkIeTgIAd2YMFMlfm6WURuzsIPEkogaFWoAs4l5Oz2EaxqrhKrShUvf6OAYUE5LAfniScRO8du9ZQWketBZtCojLlBu4N475LSpRhQB1IqYa1WQzvuXeXZFkfZ6DXCEIeUqR/05VZFHMPehD4ccaCRU29vE/+m0FyzKqZwaUZs53XRdGex/DJG3g6jrPXDDg4F8UNX/wno5H2fQYlM+24sTW5XAb0Cfz4uC0h2xsEP8tmvC6cQX7QFID6uOcee3NxvfVBzrHrTQc+/+Jf/Av84i/+In7pl34JX/3VX43/8l/+C37gB34Azz//PL7ru77rzX6dXz/xEz+Bv/f3/t6RO8KlZSF3BRqkUgdS2wno6UR1/QYGFP1PDI3ya94nITEwn5rGUB91y8dkF7vo3bJom0eLCsM1b5IQIzh46Pq+sL+xTOsWTA92olKkUSFxiJoSfjPOJj2tErOrwcxQkVXqAbXr6czOECXnEzsgALN6gMXpyEhN3vh+ujSQ4Rtefq+wwI9KSGHG3FZP13KEgRlnhXBRCm4T4aKQBCUEMIAlrUFnTNzwYN/x8Wvgf+4Jj0jyXJmNCKx9CZyBIYbDZDYKpDPcsarARgMwiZlVR0UFj5MAvu0oMVRWA0CEtu/o+w6sBpEAdbHLIcgkMirqyQZtnND3E8bdA5ShoG4qhlsnoHFAvZywupqwvhyxnzrOJklfcckd1yiYNEFp17F0uwqqYlemE7AaCAMmbIaKTsBIIuG8GCpWwwBGBw2DS/muphGrVcFuv0Wpg66Dgk+89AAvv/QS7tI1LsaHoOtrEDPKZg1en2BHK3z8/oQHbQXW+FbjNKGsGI92HVd7xlAYfarofSPrzNz4YWuriASJGFQ6RNnYQaWDaQKjye9FgjGye2eq0bjNrVJz1sn1yOxqFwXdJ7IPiu6JitYYbQLMZaHVqoJYUzUyKqk0rRTUMon0sjJqEaBERby8JgZ24wTmhvUglmOrUjDUgqEQhoFAqBgHwtV+j32XFb8ZzOotq1aCSTm6jX90Q4VMeWbPw/GIP8p2sItycyBke9QOLPJhxqLTWJsqMRCNghmG7qd0Mc3rRoAkss24uGlqMpckYX4ZCJs9kDplqrb8pD1zAJm8w/MXhBosAMrs+w02Oo8tkxDgHO4cws4bwRAv7j0Op9x0j1+7yPLeTZ8Pq30jwOkLc73pwOfv/J2/gx/6oR/C+973PgDA13zN1+D3f//38RM/8RP4ru/6Ljz33HMAgBdffBHvfOc7/bkXX3wRf/pP/2kAwHPPPYeXXnppVu80TXjllVf8+eX1wz/8w/ibf/Nv+vcHDx7gXe96F4gYVU+MpNHzJhYj1EHoMFrvYPELR1EJRtcorwwBBICCECcqwbCZSzoxcIDrmTGmgBWLDFt0s5l9kOQSU/sd6LKhLnnFWLysAHIbElHfGWUSZmBlzDJhdgZjkwoUByAgjSUEllxlSumYoZGdzXJBiECnjp4sCiTwmwXZt6zx5suRzjUaNRjFovpa7CRhTjI9Urp11ijKwArACQi3qOB2KTgvhFMq4v0ECVhImDBywb094/cugY/vgEcoGDkBMG7SC2WCRrCZ1cFOc1ZJKxjnlcSdnRmkLuzYE6ZxDFLYtB9FT+RNwdTUQEXUnNw6ylDRp4begL6/1omQtTbc2WC/GzE+uEI9XaGi4eJiwMXbT3D3asQ4EV69mrAf1vjkZ6/x6lXDliW3VoO8r6sNlInwaiHcPgXefnGKp26f4ao19GHA2fkZ3v6Ot4OpYjc2rDYbTI0xrM8wto4//NSL+N2P/yH2kxhF78cddtfXoKtXMNEWjSbU9Qno/Bb45Aw7VDzadlw2wjhqIlbluPvdCJSGUgumAogtl4Bvk0iaxQUBEqgRLICINgA6qDVoIAlQaWA0ME0olQFIsEYqatRP7N5ets/MMQEkoETcz4t46rFJdBi9E8ZJVrk4QqhKm4FxUgmMJpotpWCzXoPKBDCwWq9wsq5Y1wGlVN+3HYSxTdgo4FkRS8KY3kBtD+IJrY0SqHG19iSzYjYV4CRGSH9Lqis7fMnvQQdnliyGCxO3Ijb1a4AF/9vAhtG3GX9lnTue0ZOw4VOQkr7P6zcpOvzw4TcpmmN3AtKY7Vp6pzcrc2+1KeJcKaeXpPFZAKL4OGfWcYDTV/DymQwDbrrC4yzq8b8e89zj6n+t56zMY8CHTd5roaL/3fe8Ra83HfhcXV1pJNi4aq3qBQS8+93vxnPPPYdf+ZVfcaDz4MEDfOxjH8P3fd/3AQC+/uu/Hvfu3cNv/uZv4s/+2T8LAPjVX/1V9N7xnve85+h7N5sNNpvNwe9dbXNcosByUqp6X/ahUh49YUC+qfss+bya47l5dRFI1VGAidUBASqylxlMFQUVwKRqN9kKQpBEwkMW0thaZJIcrg68ilIx4uzFoud+Mk/wEm77vmdIT8mYERBXMbFlS7c4QhRxeQCQSsQmqDoMgKTwEOZtwQWJ2eszrykjoWK71CEWnuQExXOlsXl1ibStAtioOutWEQ+u8yK5tjZgDGozVAmYOuPBbsJ/v+74rV3BZ7hgpOxR1eCeVSxtdw8yW6cu8SkgbhIMUU/jrF553FIkZwCkqQaE3yfKXcxeqoCqgMLmNsZ2smWAO9r1CB4beAu06xGi3pyAqeHO2QatNDy1Ikx9xJd82QXu7ybsmfDw0Q7lZIOpA/vtiDvPvA29Txh7B5eC57/0eZyeDGjTDqd33oZyco66OgWGU6CuXZoBVPncO9721F20aYff+u8fR6eK68uH2F49wu2zFW49+8W42u1xPQHjVNEeWpRxApc16tA8OWghs4WC7xHps8FnNSYm22Wy/4r+ZkE2uXc9GChgKGIUzK2hlAlEDaAJvUxgUuBFLAcXQVMgqliVAZUqemNME6PtGdPUfC/1LtItZkU71MFV3O3b1CQidtOIyoWw2axRakEhwnpfMa0HrIcVyjBgtVljvVqB9HhjaSp6bxjHEa3v0KYdrq4vsd/vsB42GIai6l2jLhkWhnwmfjVwlAgYAjQZo3YBSNrnnGgIu02UUZFZdU4vO4xHk9ONhDy8PZTmMxBMHL/CWBpxeEg9Rn4k4ZYlS43vtPg14AXPSqZvDsQ49u7R+jk3YU5Pc/fSUzEkh6BkLmPLLwr7TprdeA1gs8AaN0OPpXxrWXI+D3OgFbzq2O9v6HoLYqM3Hfj8hb/wF/BjP/Zj+JIv+RJ89Vd/Nf7zf/7P+Kmf+in81b/6VwEI8f+BH/gB/OiP/ii+4iu+wt3Zn3/+eXzHd3wHAOArv/Ir8a3f+q343u/9Xvzcz/0cxnHEBz/4Qbzvfe974x5dZHbAmiwU0CSRNt2xxEPtZTYhBQWsKSl6IA6yQ0oQGiPoRiPEOFfE8YVk8RUYCLMKJJKt6PMldrSUmy/ZML4lBSgWmyXe2VM7wkdYN5C55quEBtT1PeKZwmSAh2FGiUBHUQBnGd1Z3wkUl5boCwCDktn6j4TB1kQYpD4ZeRj4KyaFEi+qEyLcrgW3AZwBOFX11oo7Bu4Y0CXKNTP2nfGpXcNvXTNeQMEOCqQy9ddxMW+0uTRKPbO0vUSE01XB2cqCCkLBmlh+iTG82jrVqmPPoKEAg+V707kvFb1JwhA3UFdvLiJCv9yJZHFVQU3XWG/gsWFYDVidDAKir0dgf4V3vu0Cm7c/jXFsoKFg3DXc/9TL2JxOGM7WqGcnqOcXKKcnKMMKVO+g01q9EieJElwHFBpQ7ECgzP789BTv/uJ34Pf/5+/gk5/6BNrUcHJ+gbtvfw6XtMK97YQybLAfRzfsNqcBmc7IVE4kElWRxKjBr6qmmMWYmz2sAAEsKtpazAi/AHWQ+WtNpLHm8o0qhsYab4tKA9EIqh0oE8ATUBilDBjKgMoDeE/Yjx27XcN+20Tq0yRUgqB3BftUUGrB5vwMqBVEwDjuwFNT8AXwtEcdKmot6BOhtRWm1YCL81Ns6gonK0lPIXM9Ab1hGq8xbnfgaY82jdiOE4Y6YLNZY1gNMi4OQuB2dbZfGgwWKciAHCQ8QrjSr3nyVvjeNSbrLNgcNo6CKgOjVi5DIvOAM7KixgEU4KdzGKXPn0zgx8C/06r0wIKh27XURIWhu1MVHLsCpBze5/wXzwFTBjuzOEdL0DO/5VR7VoaWI3H4vJkfHL+WSPOGYv6+VO/rQB2umHiN6/Vgl7cgxjl6venA52d+5mfwoQ99CH/9r/91vPTSS3j++efx1/7aX8OP/MiPeJkf/MEfxOXlJT7wgQ/g3r17+KZv+iZ85CMf8Rg+APCLv/iL+OAHP4hv/uZvRikF3/md34kPf/jDf4QWUaSHIKAxKeghlwCQARM17G0GTmwrEODRlaE2Hwaoima9trep5KJbbBcADRPAUaOQ2+7eVSJxEefZnC8LEJBDhjpgJy7yfVB0w7hBMTHyCcw/J8M2ccWVeowYWWJAAzci1TJLErOFKgjXagE1TAYBczQPtUnSdjUEsRbYVHRmsueHuHWfEQT0FOCCCKck3lyVxTaossZU6h0NwLY33G+MB52wpfCuA8wVHzCbjyCA2kqGJj0VMAxIctM1CLUSaOgCYDqrNxfAXRh+b6ynZvXysrqrJD+lIsAIEINdy6sEIpAaTksC2II+ibEyDRLht00N/XrEdLVFOd3g9Jm7GPYjVrdvY/vwIahWrM7OsLl1G5vzjaqtGobzO2jThA5ZM1QqyjBgmiaUOsDIINSwV/iGShp6w/WDV3F5/7OYtlcYTs7RO/CZl++BIRIOGrfCbC1XGcRmRpKwEhppTBcyW5uiErbugIhZbGMkAnnxuDk2X2aD50bxtTrwIfVGYxYVGCuILFiB+iSSoDpC4hZVlD6gTQVTK9huO7bXDeO2o0+jeKd1DiABiKq5EBgjah0wrFZA3wvIIgFmq1XBsAJWA7AeCKs14WQz4NbZGmebgmFgMBp6GyGG2hOIBJB1bkAtOK0nWK3WWK83qKsaZwAE01ies/0La4BMqPcagjHP8nM9jgMp+J/l61KaZhTB2uL+gwZoGLLu9aAgBtDkdMCusNcL1uvRx70ib04AInuWU4fTgDiEOLCvWXQ4ScVmw+BjNb/D6cNcorOshWaSoizJSj2ZPU0zmxyzsTwCgJZdWhZIpg1zWAmhK1kS6K09XAb82Luvr8Sxsn98YA9AfCxs5xNwPXjwAHfu3MH/70+8HUOhcKVm9k3sMUjMBRaWJLSo2FsZaTKQBJtInpXdF1/uYhis6QyYYxuQLX6gOaM3JgSVKMkJ3GPK6LvstCCb0QAaYCoqkWT0BSEwtZSqq/Q0LQf1MMw2+yPbRsKsSMvLPhNQxz5O1Z8XqRmLJTgshxYU/PTkKSa/ikRIpCiJ2XDY9JyXglul4E4puE3ASQHWLOi8+gmYMZCM78iE+xPwG486fn1LuEcDmKoaFXMwV8icWzBGGUTN0T6sYLZWhYBzavh/nwH/n6eAtw0dlcXYuyij6GCXlJRaQDWDSEIZBqBKG0Y1gO7uFagXSTynNjZQHRwUghnTJN50m7vnYhs1NpSTFbgW8EComzWwHsDrAfX2LZTVBvvLByjrDWhzht3lJU6ffhZcT0TatrmF3e4aq5M7wPoCnVZgGmQ8GJh6xzTu8PCzn8Jv/vrH8B9/47+hbG6hM2FzdoFhc4L9fhIwIY3XtZAIvhsTu59h+p0g0iAz9K7B+BABA0MKQbIGqejhgrxc2lEqRWVAY+IQGgpGFOxRakMdKkqt2E8FV1tgv2OM2y3G/SW470DcdKcElzPj57qqGNZr1GGARGiX969WFevNCpv1CqtVxWqoWK0GrFdrnGw22GicpKlP6OkP9+7eWUSEoayk7lJ8f3cWLzBuKtHtjNYlUKj8KxKq+E0lYK1j6hJlvPeOqTX5t6tESNd2VwmRWBx077tLkoLUyByneEpmvWcFROUruzHwDrl9z+yeATStmykAW1ooaW3FHEegzjlQkntHWOxMBRi2SPY9/+vAx+pxNWHYTBmQyN5eghQPAUb0ZD6Yh0CEvGCMQgKMfmDFnGbYu4+82SFZHpM5Bowf9DOnzzG0N3xOEIHTOPIN9fHi31kbdIyXdR/7DQDu37+P27dvH/T5f/d64nN1FWJxq5+QTvg9xpYtgSccKBTd+MIfKcCPPmNqsNmZQgGMVVyquLtKhnU7DausQRexBE5W+Q8rOSIJgugMQN/UjKAwq+G1MeMkXjbbIvXIomISIWVMGpTRAJ9REDm1K6EDi6SHi+EilXARxgJQVw8SNu+yEmMAaIRn+V7V6FsAZPcxNGYjEqKCFRhnJEbMd4lwm4AzEs+twh2WIgTEGBRENBb7npf2wEsN2NuEq8RMgKKqSGagQ4k2EQzSlUqoan80lIIyMECaukTb200149I3NW62IIyWJVtj3IhjGosbew9JlEhLAFiOrYlhsW9F6i9gar+dQKuCPnWUyz3KULB5222R7NQVtg+vcHJ+gatXX8ZwukZdrdB7w+ntu9jev4eTtz0vUh6q2Jw9BQynYBpcHeIEvnf03RXuffJ/4fd+939hfXqGqXdxawdQ6xqwxJlIJ3aVLMgSEsbYuflaU5QKCegnzFjWZXeJD4g1Po5uIU2SKi7qkqy3lApiQtN8YQTWPHIymaUMMNbMPICxQmsjCjHOT09w53yDe3XE/b4FuGK1Xgl4HjrqYA4NZpMntICIMNSKWivWq0FiIhXCqopX3DAMAobVq6uWAbUWlGr7QvpQSwVsfxgzVXAFU6/CpDS+gJ3ZuvRG6Yr8ZoEeMpOKema/LRlhZlLRJP8lW/ow2+EIDoKcQRsTs7OTARulF3ZIk9+TSiqXwVxSklUyvn5kwJShvz5pgoGiWTvTGMHvJ5UUp8+pDs6jxQsAkatMTYvxTuUo17xoG+V+xZoIleCs0sf2+fjdOGTeeL1pgpo3pZLPy/XEAx/iogfsZDOjUpmCqidtYTy6VdHMAFYJQK0mehWGaTmDDCAJZzdC0cEFSgBD3SNxcFSdldRChGCGBcJEDNgwTG8eG9ZIVGfLsq5nNrYTl+xQ0ngyRTdXU+JpdhisxMTEzzneDyppEtUwRtWIKjJGaitUdazkfcaYpJDlFJf4QexBCaU/cCPtAYwzAm7Vgju14A4BZ2CsWNRa1OXtwit6SF468GDP+J9XHZ8cB+ypqhpKKbzNBZT5wohxAdWVMxFiUgmgGMYOaLioBeuBVIUD9QYEhs0gUhoqKCtVddIg47dioDcxlu0SzbEMhN4kySkNEkSQQeiKDiUtiqBTyuNUq3i3lYp6MqBvd+DO2L36COVsjenhNQoqHn3ys9KI9UoC4u22GC4GbC5ug4YNat1gv9+h8x6ri1NAPZsCxHcwT9g+eAkv/MHv48VXHmCkAavTC6zWG4AIV48eqrcVXGIRyUZNXlCceTCg3owIo3Zd571L6lqRPug+RPN1w2CX5puhc1dvKuom9ZH6DYQ2DaYpsXlWIBrAZY2xT7jaAs+crfGu52/j1sNLPHz0CFMjUKlYrRhDLShVDxFU1B6wiNSnFMmmXsRdXRKNSvDHoirsUkjLi7TYjPorEQjDnPkZ4Lc9xhC7nm6AhRXcwIGQSw/inxno5BlIitdR4E5n2DY3xmcDPt3MTO1DgILFp4wWOEEZSkAmqeWDz3PUm+vwPqYOL28YSDQcxfbv4QMu1LYxXBQxhw/DIAEA5/M2GxQDTTz7mkDckct4B9j3TrTB+Ep+2QwhHlaH2ZD6XN80kzfLp45fbxoOOnK9VaDREw98RLKrCUUZKVWBMB4L2GcMVYCBLCfzWEIXN2GvD6zgKQCJixlNNA922wfmjqFKbipZ38qCdQezLno7YQldFeNiIVoqmTDQAKjqgDQOj1wEkY4Y0GJSeyJVE9l7WBttXlVFuDssw4GlKPBUHQRRUXAXY1VIVvSmcZE8d5hUD6NwDQBLFliQqwRFJUIsaqxzYtwpFbcIuE2MCyoYuqqY2PopgEedoaBiLgwgXNSK0oqOEXQ+TPIVJy1TtZgNltg1WVwmsUEZAFxUwp2VAK9CBbUwSh0k2m+VAHa9Aas1wI0x9gqCRmxWFVstFaxpKYQTFtRhhc4TUKVtbWooa5UeSUwFkRS1hj41lNWAth1RV0Uicq8G9NZRpgYmwnjdgYEw3DlDu7pGa0A9vUBvBFoTeNwBVLBab9BprQww3N5lnjvQ9rh68f/B/QeX6FSw3pygrs/QusTXUb0GjBz2Lkl/LSSB7hQBeoXQuClQVHVxCRWogW5d9Yi0G6aCbDAVrhNrbaesAgXnRd4lm4PQC7n6pRGhUgWo4mo/4ZOfeYC7t7a4c/scd2+9DVf7Da7GBwBG1KLxuUikN5WKAmx1gS9FgI+OQQF5pnpbS3ZgIYrRCO89XX/G24xG4PC7qFHDt8v2KQOusgJY7MSM3vjvwcDtGxLYyZ6qoXJQhpj4sNvBxV8BVpRmRNgHwCVEbCr3zLr1HepRanV6/zlYsgWQnY1XvrzhhnasLs7N93HwKnh+hxZlcvU+3gu1joEzl7wdaxpi7HQFHBaKTee/ca4hGYUDCThqmcN+zjDnG7i+ANAjvfJzCareyPXEAx/fHibB6YCFBbSYHaLkYgAFOUloYSN4cFG/1VpVlTGBXSLgdjsMDCTqrcZyKmwWqRlSwHS5nY0CFjfAztRFMInE2WEAg9lCOGGj8AhgJBAUBqg5Ro08K8a3FSr1gLj0WoBEqHpJRgZKaDX7EKkhtY6rSaWkLcWJlP3uBJItErQYKa9I3NXvFOAOMS5QcAFg6A2VO4p60Zh7u+plRJ0EYTodwDUzeFiB+gqYxiQmN68jm5viY45uUaaFsA3DgNUw4BR7PLth3F0DQyGUUlGqRUyWOSqFMAwMtIZpEvCn4XxU6qcSnNUg9jm1gk7WGLeTnPY0OCRpMtNpN6FwAwhY3zlFbx3T5U7yZ6GAVJ0iLthdAFNlrO/cwu7+A1Qa0IkwDCdoUwf2I+qwxv76Hta3B2C9FsnItJfBHIqDH+4d+0ev4LOf+H184sVX0HrHuojkDKWCCmEYBox7UySSj60uY1kj7CtBp581DCSjdDN4VnBjkYiL2XjB14aFdwDIXDEhql1jJ6ShBdhTzJCml5BYWw1MFY1U6kIDGhe8/OoOV1dbvOOZu7hzcRenfILr3UO0vgO4CSguutdJ6jJJjpEOgkmWdFfY/TQc9i8lKYevxywiMLFn4lim2hAGq8BlxtGSRI2jOhl/mwuOcryAQlq3AaxjUo3AHWYDKWAkM9lU3GnOHDzZElFYY2Ohk21qK8eGuk8p1b1k8gGVOcZPwU9Gj0cZKse/PPuX57/f9PzyV5ujQC5HShr4UurnfY6RO+xoUi96HfPP6ek0s+mHI20//PmNQY+bS7+Bet4qaCdd5bWL/PG+TCoyqSeKBwszrqxyYbtnmwzdojWLrQwroywFqt6SZV0BjxBbiy1u2xqU5pyUWTPY8YElqhBjYFFJsflQwxKRWlReSztBtt/lEYmBomDLcmiZ2os1CjIQ9MKImqm71EdmtjHFpdZOISy2SBpjZSY/NnBhFBlBkTtLnBRoXYN2bQBwXiRGzx0U3CJJPFqnhtJG1D6ioqOyZA9HbwIUNC8As8TGeWHb8TtXDY+6ATGdT7905E21RwWoxrAIZVihrio2q4qLMuGLasOfPCt4agW1vQJaY0xjQ0dBLxW9DBgbYdcH7Btg0baZCrBeixv0sAK4Yjg5Aw1rtL16VVUBUONuFOlEU1srTWXQxhF92ss65A6aRvD1Fu1qi8pAPznDw11FH26BVmsMJ2sADcPmBLuHlyAmFAzgsQNTx9UrL6PtJFOZMfZxv8P++hK9iWfT5csv4P/5vU/hs/evxF5ltVaAKuttHEdXr/jcc/eDACsgzcw/JCS6xslsgGLVNI1szQq0obYrkvuqiXpN1UAW6blz9/g+AFTlKfZDbWroHTC2PjUxAG5c0OkEl7uKP/j0Pbz08iOs6BRPX7wDt86eRq0bB2Xke9YkSImOBJZxcCZ76ZCEOkC5kfHM75t6y9Vd6UnOe20m3eHYbhxvjLeozRiHvMDBj5fh0JQvW6jbWI9OPja+vTmecvZsUinrT+5jul8y2silmOdBAvOA2pvSpNDsnn0/DpuWlc1GLEt5Zn3BHDClPmfV7uGz87IOW3hR0kFUquMGgJBGcTl0bzqo+FxilLcK/nniJT4giP1JT0a41JU/2hGtAugYIAtPhEKk3hDmhQQMBAdQDWYXE/py060DrB5RUr1FgA7AQCHSJo2HUapKc0sicAIcBlUXUIn3mvuopUI1KNbT0jJ7A1G5qQE3mVIoDERN+sUMh8Jso+N2HfJZpEXhuWaG0JYVnO3FWgExW6BiFEi6qjNi3C6SbPSCCafMWLNIeobSULu4+tupOBhO6Mh3HfjEnnEPFVf7EUyWYS2kKswQr65SdU60pkoYqiTvHAg4Q8OfOCF8+cka7zwhbGgSiZfaatEwAKsV2jRhmsRVmnsXY+EKsNrlOANoLC7qTTxpUAh9EtN2AsSFmVlc5qlLNOJOGOoAWlVsLx9hqAU87kEoWJ+fYDfuMEwF/JmXMNz6YjRqmLY70Kpit5tQ1mfYP7xCGRvq7VugusLZnWeA9UZWDEkOrv32Ep99+TN45tkvAk8jPv2/Po5P39ti3xnDyRo0bEA8uN0ZM6MO6mLfReUEVu9FFb/ZWFscLIaAVGcEFtrB15Ct7wDlbPuR4juzrb9UR5fcVr33mUdY77IvGhWshhVcusEM9IJKa7Te8NlXr7GuBc8/+zRWJwOmacR+NDu1ADgOgrJQx9V0cxEPpSdmjJfJDyy2qRywRKG5Ctr2Mqe1r0CiB0pyNYyASW0tSUQwMDwuEKyuxGwJCJd0G/tsbKN73qZDDg2mKrYeKwjSk11WgfnmZzgtcMFPFlVl+5/HXL40lnhJf1+OZ/wzBzRC6dIYLMBJBtS5KvuXUt0cFcwbmd6WtFp6m2EOKGYHRdaGBOiiWtbnF+N00F+a/Zjf+0e/pM6bgcrxO28VYPNa15MPfNRXy8BHKWbbIfFlOrET4K4usqw2KJXMuVzji6jblbt3gj0OTMb27jaP5AruhMJiZIj6StxlSexnGJKCgEU1oIIfMUzWoIEMCWhGDDRi/Z0dSDVvd/cNPhRVyTBJ4DoyN+IAYkZEhQE4fANg+cWgb4BLOWQTd/XkYt/QzjRY8m1ZvyvEcPkCwG0CbhFwDmBoDQN3VOoSVoYh9iykkhclyhYHhwHc3xM+OTJ2TnQ5tcnE5+xpN1gzzVMn1KEKyAChUsedgfDOFfBMnbDuHXWlLuZDUSYrA88qLmRUoDKoNJShoAxFQE4HSF3VqRZEUDcAQ5UIwGWF3ljSIEDDDIyTuF4/vEbbbUFU0aYJbbfH6e01Ll96GSfveAbjvVdwWhnbFz+J4ZmnUGiFtu0o5+dY37mF1jrqyRl4tcL15TWG2y3svdTd/vTsFt75xedoU8Nu+wgvf/pTeHVsaAA2dbDcuZp4M0l9EGSQAfTWfEWEKiqUFk4AyeozZt5jLREFk1HGzejqAVZhqqeikd/b1FDVto4AcG8odaVRtNUyqLODtFJIkrESY7OqWA8DCnVsr0e8+up93LlzCyeDjAVjDxehUt4VBRbZPTOSkBBpJ/2mI4tcOo2J7jmVXIbLdmIzykS7jq1sS5kBdzDwFjEYYpvVpgmtdAB7TOMeQZg4bOM43mNqcSCBAKLZXNOi31IkgQUbgay2Wxx8fHgUCPmM65rIWd7tJeGLlNBX6rEHHV1cATK8gfG7TU0alxuftx76lMzLHncd5/mz/olS//WfNN6c7h0qFq0dGVIuyxyCnuO9ezyU+Xxci2n5gl1PPPBxAFEA7poU1EGJbCrBMybhMV2+nbZUBcSMThrpmOP0kzRT8NQFJHY/DLkpuEBcdTs0oB8JMDDwUzjMGoRGCdOx6MgieleQlU8StgFJY+f40oqgekVVVl03shhjKvHi8JYxGmOGkybxyCdZOcFacECpw8yKO0RFVpUoSTA4LcOMkwKck4CeC4ikZ9U7VjxhIM1U3WUQikZmJg+WxjpXjNYZ90bGgy4JWaVhalekUaDN/Z0U2MrIFInvUqrE8SkVhTsGTDhbDRgKaXwVceWGhTlg6Z08V1HLCtwn0HoDbqNIG1ZrUGcJjMcdNFQxlmUGccHUJB9cpyKxj4jQtlusBhkr0ewQSh3UgJXRp45Hn3kIjBMeXb2IenqC3bbjpGzQX9mhnFRst/dx6/wW9g8fglcDRhBOzi+wPi/ofUTtk7ji1xOgDIAG6QMmPHr5Bbz4mVdxLUZTAuxKBaF6cMAw4jdbBTVkLeKl5iogItQ6uFrKzTOVsfXWHMjIaVihehiWwKQ0YgrUNc5NcYPeUiSycqkV4I7WgKLSKPGwIkxNjL8LAasKXJxtcOtsg1unG3CfsB8n7Mc9Xnn1AXbbK5yen2KgU0xtAJdJPDo5opK7FDd4+ZLC+JjEpoRv0jmRZ8c9TjwQP/kYICAOc0fk7wrYw6g4v7iFhw8fgRnYbzsuLm6B0XH/wT1tAvuYHrTEAFGaAwcGCcc5BHG0YpDE6ALHHObKKd5I7KsGDLGdZNPVpxH1rwmU2FDNwaPDzQMmGmM5RwDL2eDlvaW0J5UJoIR5m5fI50DN5gOAbAg+06EidZoN0qRFh9lI5NE66PcNSCd9PCxwMwh5K8CTz9315AMfADaJ5sVEatRcGSg9XGQlhoctYrOBURsahOTDDHyJxHNHRJZmsKwu0EQaw8cWtrkEQ93Q5VI+L1IdbZ9JmooBDwNc2g7xROsKghQcEVTaA/WSUILDUHsm2UyWgkFebmOj/UKxQ4iDPjfJVgmAiNJlYEjdsI30NzaDapPWSLKKyozTIsbLtwrhgoBTdGwYWLcJlRtK7757i9YLyEmVyWLIELqqGYkZg5bNFJA1lgwVDSZIDRqoWyQDQ0XvjJX2dQPG82drPL0G1tzEw2q9Qh1W4HGvzxHKILY7fT+i7a7kZXWFWtXbbexobUIthLJeg4YVGKKaocYoPME88Vqb0FuX+FLMYIiEhxujNo0WPe0xnAyo57cwbRv6OKHTgLoWlRVvR/D4AJvzEwwbCYy5edvbcO+V++A+YXV2BlqfyrxMktzz6v7LWJ1cgFYn4D7i1U/+IV69lGjMpVaUupI1VAsamtqIBIOy+WYmjzoNZ/oCbixWlImOnFQXN+vX+S3ONNlP9QIuO0txUVOShgEAhvUK3Bv2+50CoYpxvwdDkttWjb0zDBUnqwG3zwY8dfcW2jRiGnfoDIytYbff4faFpPV49dGE690IqgPAFbdu38Ju9xCnJxWnmwqqBjiQ+hOwYNbHGdUJmcmcich+sdQphknMk9I5N0ddIWkjTegKDCho24aBB+yurtF6x361wnZ3hf24T6Bqbkc0jxkEYcrGNReSl/jb0ZyDF+8/LYAfgsmTz28eGX0/U1J/JTp9AB7mvx2Xc+RhTip3b89rXMyp13AA6u/ggJte5zHE5XBwCQT1Lwf5+bM3G5Tfon8dgMpjr519OFYira3HVvL6L77h8x+X68kHPiwMnXThmYCe0dEgqo6BChqLIStZwsAiaQlKMl4UTynbzKyJVymdbkRcL6J6u6X3k6jWNnkpkny0QTzAhGX4LrM3up1RZSWbyWDUbRCYPdhizRtPyxVVf7lhs3rFFLVlMuJnhMh2pJRvmNTzZlBbHiM04ommhtgl+mcxjSoYGwIuwLjFhNvMOOeOk0JYtwlDbygG4hCuwJK3inVsTRcu6rpKhNuV8fYKfLp1kUzpgIercQcViVBsARhLIbAG0usKEm9v1ri7mnCKCetasD49AdUBfdqHuqoUkebsJfUEbTainhoGZSQkObBWIlXgoUoEaZCCTpVCrFZA66DWsaoVPI2upusaWmG8ErVSZY3S+6ChEKEOK1H1rCUNRWsNtF6Bbj+N7a5hOK9o/Rpndy5QVhq3iCo6FdT1BgzCMAD3PvU/cff5L0ff7/DSp1/Ew9EkKwQmiXbM3D2PFdlaU2Zc9d2uOgFcPCIpHwSsNJg6LFnEaGwp2zdEFkBQ1JCFqqjrapWYP72jsdi/9d7QWkNvk3hcFcKwGjCNDbVK3J1SS3jorQnrgbDdbtFax/Z6i/044tHlFepQ8eCRBEnoJDZgtTJ2uz0eXRF2uxGrYcLF+Qrn5yv0NuL8bIWLsxWosJrB5X2feuk/0Nxd3TekrhdAGXqyAfJy+nd6WDzlCs7PbuPy8hptHLFar7A52eDBZ++jF8KtW7dwvb1UcBqAxw8FyO1ZAqD0mZOEAhz3TOrF3kXMGGuuyJi7qbocV2VxEiHbA1q75o1ZDCtyORwAkAzdmIHF7ZvQkoOdTPuWD5u6cYYh+LC12Y7JwCP57xk0J7Wfdzv3f6nUcjkqsFxvxy6ewbfFvdcFCZeP/G9fbxWQ9MQDH9vg1CEqhsJAN3uCACOty2nfT2AAABIJQgmvIFcZJSbLsAB/qlZyaJN10eTE0CE+azJNqJrKN4w8b3FgiHKbxH1akp2rRAFi98Mw2+RkvK10hUkP4cWkSmJjJFnXhQGxGqTWZHtBlt7D7nvOLn2P2hm5Xt8HXtRNJ0Q4Q8cFi+v6BRM2YKymjspNvcVE8egRllkNPpVRQlNjmCSqgHGxJjyzY5y2hj03dJWSiYEnuZpOAjEWlWgMPryNOy7Wp7hdR9yijhUBw2olhstTU1f0grJeo5QBmCYNLCjeQ5vbT2Hcb8G9oa5OwFQx7kesz0XdwF0YFfe9qI82FQUFpUnMm77bCREcBrT9Fco0CsMaJ9TVSoBUn1AHSNTuQjg9rbh6dI3SO9a3T7F+9i5GFKxP1xj3Vyg4Q5u26PsB4+UVNs+cAmqPxNxRhw02pydo+0vsHl3ixVceYJcY9Xq9wo4ZtkhlLM3OzYJBDs7MbB2b8bhkGh9wvd0pYILbR1ExFavEKJC4lLKPzFC5dZWC6ZpWsSp6b5pEt6PUAUOV/FalDljpweRkvcIwEIZKLiXa7oFpO2GaRjy8fw/X2x02ZxcYmxjOl6FI2AACOiZs1ius1ycAFfQ2YbuvQF3j/r0rbNYj7twmoO1xsh5wdrbC6emAYZiHwMgSkWA6ovq2OES2xu0fSR/CMO9I9j/KmnRNt3FC2zWUXnB++xms1yd44VOfROOOoQ5obY/NyQqt7zA1BT7m8Zgk2HOglRRXiYNnJu0ynxkXDnd1o08ZABgokkOLzGNWZclBlMM8II8NsgTpBjBkUm2TWHEabzoERNaPXFOAP0VmqX0+gz6Z8wop/ZTBYGp0/LMAlTYWMd4KaHg+BwGy0mjkF70miqAbC9306B8FmNz8lrfu9cQDHyoqNmcBB2CN52Lu6sxqFqmu4B2+UaHMl7uABK+TbOHHlpTzffG0E7IScloLJHuariocwE5WFnhw0rKFxaaBOJ0wZqcIBvXw6DKiSZqXrKgaonEYlhZ/nwnvZUuZCo90vOxu15daAETrvANGKqAi4AIUoK9rz1fMOOkdtwrjduk4Y8KKSeL0cBckZl5kBDVkprA5UOpSnWIJICoMnBbgy08K7nXGf58m3GNCpwHMTfJvKQeRdAQFdRhAZcBgrtfMuEV7PDd03F0XrDYDJDP6qFKLgjKsQTSgjZPYBFkSS+7Yb7cCjE5PwEW8vIazFXoZgDbJuEwTynoNlIo2jrJKeESpBQ1AXZ+g7beo6GL7ww2rzQCeJkzbPRiMzfoUw8UZpv0OnRpO7mwkWeadDVrf4+TWBfr2CmV7hf30GWB1gtX6DPX8Ftr2EbaPLnHyzPNA3YBKxfnbvkgkIJcv4dWHV2gAptZRCzD27m7vw0ohJrNLbsDAOO5FctPjlM8swRenTii1z3iIqYTlACCsv1CR7ObU3Z5JbLMAGgbU3lGrGJVzkwSuZRhcotMtFhBEAjUUwskKeOrWBmena9y7f4XLxrjcNuz2V7j/8ksowxrrk3MwF7RRVHJ9vweIMKpUaxonfPblz4JKwcnJCba7CUDFenWK3W6Py8uCUk5x/7KhPiSshwm3ToGn765xsiFYHjz4rgymLuDH9qqffmbsPcyN5V4pFdwhSVXHjvPzp3F6ehvPnJ3h8sFDPHx4H/ce3seuTdhe7VHvv4L9NGJsDVkgJyRkYeuTwY8JYUzSo3PmjPiwK3DKFZFbdYtm4BEGyrzor+x3fzHMviUufSnNv89BBjvgmgOauCi9m2E05SZGbapcaL3zdnPq+yw3ogFKL7sEaYu+OPgx84joQfw9G634nPt+0OMZwjraw5vvH8p/Xi+Y+eMGeoD/A4CPCabNlZm6ep9UgJqKnclNEDwvDUEYbNNFW7Wc1CnEvqoaSUxlZPEqdtJAhFaT5hdiTT9BAjDQCU29r+TUCTV4tozmZntDynd47j2RNkrxjOuanFPfbxnfQ72sbtWK/oyeWfoNS0oqr1T7J4ZLgxQLpv1nbYv9XZhB3LEhzbZOhHPu2HRCZbH5KR6N2YCOqBkjwCOhsOTL8hMniWRsIGnZOzeM/1cjvMKEy87YcRcVk6JKUmOqutmgDisBao2xLsCtwvjiYcIXbRhnJxVlVVG4YhhWaNOIUlag1YBSB/fKopXUIdIHBrhJrqlhJVGOIZKG1WYt85DmnlvHNAzY7RrolVdw+tRTaOME2m3B2yuQhIJG3Qzg0jCsRWFJbQu0jnp+hv3VhFUBtg8e4fpyRD09xephQ9tuUUrF+u4ana6w5xdR7uyA8wusK9AevAw6fwoYTsCo6NOIq3uvYNyP4vOo0Yi5d9T1gO31TkE6g6qcHFZVJFrMBQUFnniVoGMhoL9PDbOUtWTbIMT9AqZU/qEHCxMiiZ3QIJCcgLJaYbUaUFWtCIgtj6hnO4ZacLYi3D0bQDyhj1JHax273RVefuETWK1OcHJ2gdaBaRzBgGRfrwO2O/leSsXevNcY2O1GEAFX7Rq3b52B0HF2ukGtBbRnnN96Gg8fPcKrj7Z4dLXFU3cGPH13g6FarCtK/yZVEGfAOFetcP4DoNKA7eUl7t59BvsHr2K8vMJlq/jMZ17EKy9+Cq1NKJsNvuJPfDleefUVXO8uRZ2rb+iW18t1Pul9tn0TcLA5MhA0ty9ZoFnMWW9cFJhFF4AbSHuJzORjmA5rFYAR2qE5LPAhXbJePvpx1sasnMtDksv7/UOs6HeTVuugPfYWM42YRWe2btrLKdaLj0A66C6thxYjcdDb4zZIh308ft1U4o8jxDl+/R8AfBjN7UYAkCStFLAgDL+p90+WM5JBJlbAgVBxmcpKArSpF5YBKwVEltohUiWwJhNVwqTGfabnZu7J1T7MKSU7skCqSYsXAxp6aqhUQvpEaqRstkh6cgFJ0DjTu3dApSHSz9LZXemh3khiwBpHPQ/WZ0c6AwDSQAVQAmw2IJxwxwUxzjvjlAiDGjFbYMii/WNYziUGk0SIRu+o1UhhUJ4K8ozwlRmnBKwpJFLuIk1i3ExEIFWNcGes1is8QyO+/Lzgy26v8czFBmfrgnb5CHW9Rl2fgHgj/apVoiJvTlDXJ7CI1x5cT9NUtN219LwUFOrYP7pEXW8AGsTeZhrRdztsTi9Q7q7A4yWYGzDuQNMIWhXQhlCwwvjwEWjcgduEcucC++uO/uoVat0D15NIBNcnGG7dRjk5w/7+AxQAe2LsX7qH9VO3Qdc70MkOtFmhTx2763s4XZ+I1yIqCgjj1SVO1wPq2LDnLgEiqWC/3TmIFs8tsYqbGLA4RK01l5oRIvgNpT3GYDXgVtcAXXfFjJx7UxWrJimlAi5ArRLParNeYxonkfJsNuidUIqCCipAEyP2oTBun69xuqnYXjdcXo/Yjg3X15fo0w4nZxeowynGsYMhkqJSxA7o6mqHzekptlfXsu5IVKKr9dr7NwwVV9c73Dod8Ce+5HmcnJziUy+9jBdfeRWbzQW2rWE7MV54ZcKj60t88bNnWA+JQbjxsLNKYW6ebDRojFn/EIqEMlhX7C8f4NHVNXi6Rh9WmNo1VicneOb5t2G722K3H/HCS58AFVERjuPo4NIMWk1t5iw0YQuXNSwZv91ngKkHADEspzTSgF08k+EN568wUGTB6oWMmPcseaygWTvyCxd3jAzZazIIoXlJffLYrzOYtSi/vI6gI8zHb17S+pNQzlLKlcY5j5/RWEoH7uBE82bMwCcfaffxZh8rcuSHJwfs5OuJBz6EcPGuEMbY9DTe1aXSIzp3BROK0hubFxd5UkXfZKQ6ewUrHpbc0mDopraYP50l0kgxAqenq667hjXioXiPxcmLWeP2QCQdyBKcWfRcOaEzkzARVYOJFIk1U7sAMjuFd2b3UDOUZ66rIrUqom6QgUxGruqaqsBIJF5ST+GODRjnzBqzp+MUjBWAoUl0aVJwUzT5KysINRBG3MVAu5tlidFXBZE61kMRG6IydRRiPe2KKqVDmGtdb/QZBtBxVghvH4A/cfcUbz8tqNwwPrrCUAvqZoNeKpgGlLrGsF5j2u8wPriH9ughytktJzyri9sSUPL6WlRrdY26OcF4fYlBAxb2Nuo8MdbnZ5h2VyAQyp07oO19DOhodY3rh5fgyytQa8CjS/HuqoTpagJWJxhu30H71GdknbUGvjjF7tE1ztcnaJ0w9oZps8JQgDJ2jPd3uDjbo7YGNJGsPfr0J3H63BeDqaCPE7YP7mM7Nk+lwgZ+iqi+xM5FLMeYRUJCA4naBZB8ZL05MK51EM80ZbrDUHX96e7TNCFG0IvuHQCwNB91GDTGUkXbj6BCWG/WCpDU/mca0aZR29xwdrrGugJTmwAquBp3AgguH2A/jqjrC42D2ezMgt4bLi+vlVkKt7R3iy2YeVAWMIkn1Tg1bK+ucHZ6ii95/jmcnZ3ht3/39wEUUKngVvDq/Ql9vI8ve9dd1KqG3Xqiz9KDbAhsinboAYWZ0Xd7bKYJ16++gtXQMa43mOhCbPLahN31AzF8173Tmnj9tWaxgeA0ycowBPg7Y82SBsMW2a4n39eDk0ttXBoUspvIwUYuubaKclyfGfNPAEyk2RmcHLNrSSz+CGO+AR4hEBICISkIM6kJLx5y0GY3ODt+wMFqfE6/u/QqPLQC90UBsgcpg0STCtnIcthrHulZ9OD1XEcQEN/w+/EnH/v5j9P1xAOfNWlOKgB50zPBIyCPrXugM5HsaOoIks9VN71HYoZCBEqqMCLP5wSImgwkXj2NWb2uZA8XMoZvdUhZpz3eeiGMxQAH4MBJIIp6juhGmYV7p2A6Ui/PDk4FJhFiNbqMlAJE9ll2vhzWCawSoaK5vBrM8UrVhzo2a+44p447LABowzIHlSDGp2rIbRJ40ncMkHsimFJDaiDlSNL568X7tQbjmcp4hTte5o69iJHE5R+sHkNA2+/w9lsXePftU7yzXePpVUXdbrE6WYl31GqNjiIJSdcb9Klh9+gRqFbQxV2s1iuxAWKxFxqvLsFtlCB5pxfA6hS7h/dFwrE+RYUkNuVpCzSANhusVwO2D6/Qe8O43WJ69VW0BqzGETw2rN52F9NuwnC6Rm8N/XKL1d0NLj/zAJvzC3RmTJfX6K/eQ7/eY992KLfu4vLVR1ivKnbbPVZnJxjqgN0rD7HiDjo7x+bsDNSBtn8ErDaiGhsnXI3N55xZVJh1WGHsk5BctX0pBoJM4MIQ1/2q5IM7pnEv3lGlqipLJBch6pdJLJXAXdc6qYRHGWvvDecn57i+vBJPtirvrUWSh+7HPa4ePsD5xW3JrN4nPHVxgnVl7PYj9q1ht93iMy98Aidn56jDCXprYM2tVUwyqpLXUgj73U5cxIvMKyAG2b01YBg8dhFQcLI5gQBBxt3b5/hT/9e7cO/eQ3zm1YdoJFLLe486Pv3ifXzxO2/DFdaZh9rBXwedOWjJtB/Rr69Rxy3a9RV4c4rp9BQTJARC62IU3rUNrXVRZ6naL+hbd09Nm9uIlp2ZdEhqPJCggYIkZbCy7HHCKBEqU4fHAVMxBSzf3xxVkEvBSIkXI4mAEO81+CNlc125RP5pLrM5fO3C8NzmAvNrXscSGPGywAFoOgRlOnZGXA38pDbk8eYZAEJqwWHghFkHb7o1H7Sbi91c5DVuPP72gdrtLXA98cDHEmNSIY9Ka9HzqyYPLb7hg0AMlICOHqPMUJNZ1By2XlmPOJXEPqfoRpW0QuwnTXGAStpaFmBk5z4g7INM8yZ+Nfaw90rLFlRiNECzVfstFFj0aGhZO8klRgSAoeknQHB3Te+ZABHb3CYhqqriErNhkfLISzo2zOLF1TtuATgBMIBRSVVqUHWV9Zmlv4O2TehmkCfS73bq6RwgroBwa6j4qlPGU43wa9sJn+4VEwhDrarqkp6eFMKdaYcvLQVfdDHgtO/EDmucgPUKZdgAZRBj2nGP/eUVTt/2DlCt6Ps9pu2VCMXWJ8BqjTru0QtA6xMxmp92WJ2fgVYbTNMEsaXZg6lge3mN82eeQWsTiBv40SWG3YjChFYr+uUWIML21Yfg/YSrB9eoANariu39SwzrAddXO6zONmjrAbU11KfvYHu1xXq4xIYYm1LQNieopaCjoZQVhtUGHcD08CFAQDk/kxQNDx9h9+gaU7fYUsZIJwynFUMXYNDbpK7uEupBQgHEqT9n85aVw75uTQVR1FDcDOh7sv7n1tEwYVivRdVLhHG/l3czg3rDMAyaHoRAZcDFnacA7jhdFzz3tmdwfjrgwYOHoP8/eX8Wq0uS3fehvxWRwzft6cznVFVX9UiyKapbk2lKlC4E8UqWcQVZEHAvYQH2g2C9WA+GHwwYMAQbMGBYNgxbhgHDD4ZhQA9+Eww/EBaka/CKJlri0GSzx+qu+dSZz56+KYeIdR9iyPy+vU91tyyxyXJ2n9r5ZUZGRkRGrPWPNRphtVry9NFDQOgcMYBmAAIoiC1IgRMTcwaoqmBHJHENee+xZZkFFGIMnXOsNhvmixkiYMVycnhAaQ0vT89oOhe8BsXw6PkpN0+mTCfDlitJc4jjlNZT2sK02xbTthTtOhiQHx3hTRnAjk+SnAhy/MBMdLQ2B0SV7u2rvK6y9ME1fcyBR62O+GasnkrjN0izZJBmZOmK7KTFGKQ+EfSkqK9Dc/ZoXLg/8O7ruedYAjP+m6+n3aSOYFG8ptfU+Sq5ys47Ryc76rx8c9TuhCET1hkBRB2NSaJvu8KxUcUy/i4DBBo+yS642cFS+x28DhBd7d0nXPnhd/8AYp2d41MPfIhgxXnN4CBkGg8zURQqE1xpwy7QRiISPLWAIGqPxphjOxlrAixx0ZsjSDKC9ChEtQ2zrIqE3Ce4kQgD0Y5INEdvTiqmRLBN3iGMdx8SQw0FLpOMeSEGWvTENBLxWlSBpYWe83lpoDVFBGAhGnN4n4xE5EJST2lW+2le3EEyYwQqYOo9CzwLgVqDetHEf1aSsbXHRRpto6RHnA72QiZaO8RmpiFHQE3IX+Z6xRTC1Cp3xDA3wlP1XPY9FwoiBUYkgC7vuGngzdLxWuU4FKW0gSFrVVHMD8JO2nmMDWCunk4QA/12hW9bbFVjp3PMdIprW8zhIeX8EEewN0EV73tCTqwmSIrEgZRMj05C4tCmwa5XyPkz2s0mSI62LU4M0vd0mzW2Kqheu0f7+DmNV7Tt0KajF4OzFquepumZzksqA835kmpa4U+fUcymuDOHTCaINbSrJdXtW3jX4DdrjGsxtqa5POVyuYqqXjIhds4hLgB8aw2iBRjBdV0AL3H9qAuAyaaYPzmvV4r9oznqMkIYUx/WgIueWiLRoL/vUGPovQvP6AbvXFQfhbLGFjjvKcoCI4bCwKQwdNsLlq6gb1suLi55+fw588WC1dZFF/uwLApbxMkTEIORGBEaoawqiqIkqPaCN2Tolw7rzQeZ5tPnL7h98xixRdiOiFJVFa8/uMMP3v0QCDG82k559vyMN9+4HVRsI96oPgHGNPZBfW7aLayWwbj94JCtSsyNFsBOyhs4AB7d+ZfWiRIkVjv3RhugiFXCuk4qlhFYkR3GyI5gYnR1h7nu+yLl8vk9keYJZNfs0b3cNiVvVHY59GAgvd+M4c8Y8F0tM9So+TzRcd0pcfUFmtDluO5Xgp7xieRyktAjDAgySc1G15O3mGZaPAZBQ/tU9vo7HsirXb++fXq1jO7/+lERzB90pLN3fOqBT3A4CQbAedUzxNoxJtjDmFFermRYXAAd0Usp3k12PkmCY1A0Vp1i1Wrk6GM7m2wwKgPRMyKo+BAcL26hLGHHmWwngoeWie2SDD4UE+d6CMCoafcuySBOY/LTsCBsbLSLO8OkPlOG+CKyNzqa/iVPN00qChmtnUA4ClUmeOYScnFNgYoIPEiqtbBIPeBzxMZIoHvNn8dEYjH4nIVBzERZNe/mjXimJZSF5Y8XFe1Zy7e7EKfnsIC5dBwZzxcOKt48sBxIR1VMEPHBaLYIAepsPUOlQ2LcJltWFGWFWIu5dQ87ndP3HlvX9JfnFJMZHhsMeOsquLMLNBenlPWUttlgbTLQraDf0F2eU7Rb+uUSqpp2s8FttrhVg9+2ADTbDtc9R9sOW9qwM3Yej6NfOqpJidQlzfk5XixUJV4ddWnp1xuk8uBaipMpUtnAeI2lnNagGmyW1ms26zVvvPka33rvYf7QPsYqKosgk0NCCoiynuC9x/cdiFAUBh/HCW8Qm2y/PMYauu2GoqoQY7NHm0T9qXgXXN9dF9JKVBMExXUNXpTOOVShKGv6vqUs6wB8XI8rSoqiZDYvqa3FAN12w3q15snjR3ROQyBQUxLUakWQLvqQ/0slJIJ1McBoWZZUVTXQ7BFHHgBAYj6eytoRZQkrpbAFZVmi6umaTQCCvePsfM0brzOskyx9Sb+D7dB2eYlsNxSuobOWdjKnF5PVVVn9PH7zPqjxQ7kht9eo/Tu6tsSwB++viMBi30eeR/uARgY/0mFk0jsSn9aBrw8Njhu0BDgGPj6oyHbHPAmfQ/k9pj8CQSOYMFQ6kjSNm5il+tdy6ficv+bWeDjy330wpLtlUq0yLpPaMepcFqUF+ppbJxJNF2Q0DUfg7wpiGb/gFe2+AhGvK7N7rntnul/2D+nx6Qc+RMROksAMSDv8EpyN2mhPdgUPdg3kPFfWBPVKDlSYJCMMxs1ByBKue2HH71uVLBomuY1LIIA5nL96BI2pLpJ6KlIskez+HeVBJKmIoFlMn8K1S9y9JaXW2HE9JxlN4EJCCWOCEfYgEh75QeTyMadUsvcRg8FRqTIXz4F4Fj6ouCwxhQYDcEz2OxBVXykDRkpxkFQpEj+Q9yH0gEiy5c6L3ETD6qIwFKXlvvH8KzOhXjvOTM9N2/P6xHCjgqOZpTae6XSGB2xd0eMpDw7DTn9SYxoFMUg9RYoJTsoQG6iY0HUepGB9tmR2424ElSEflxIiB/erJdZMMUWBbR3QI1KCePrlElld0m+XTGYTLp8/x0xnaNux6XyImBwlR9K2FJMygKZe0c5TTcswTwWk60Kwv1kZpIg29mUeALKdWGwFzKZIXbJ68RxrLdVNwYqh2265bDrW0Yg5ZTzz3mGNx0kZP7/EWFFhvOvJlL7vQh2dj2Bb0iIL6817inqSCbVquKbeoX2P9z3qe/AuRMRWQ9/2YQPhevCh3j7GBuqi95dYG0IK+IbaGvpuQ9cpm+WSd9/7ABXBVlOkKBBbYKwNBtlCCPzX9xRFMJbeNg3GGKq6yglRs+1KyjRPCrhIVtNUdRWlUmENp7g9s9mM+XzGar3FmoI7r99CdEOMibrDbiTHRvLgHROUttkg0wn2YEarSbUVQQ1j6U1wUSevx3SEGFCDpIf8z0c1X5Js7DCyhCfGjGwMRrKh80jso2QgMrDaMaf8Yca2UaohxPhgkulMlpCM2pRfN4Irku/sM+IR7Rr3kzQ9x7KkPRAw7PpGIGL4ann0dPedO5ncr4Ctkb3O6B3J7i2f5xEcIcNRD8NSGkuCrkLP/f7un35SsR8VyeyPyo9Y+R/I41MPfAxBlRIkMYIY8Mn9Ou0uCPFhrJGQFiLx/UjTJaIaJYrJfQRAEuxVDIMnWFg3YXUMXmSRkBqBFMHVhjQINlzKHmQqBrGASnZLRyLzQEJcGyHmLwreaMJgmByuBdVepo3ZODqWiHm38iFE+4G080qSprBSk8qvJ4A1m1J1aJCGleqZSlBxHaBMJQQvLCQYhpOCNWqQPKmPYChHqh2IcEpKKkkPlkJbR/WJ74PJti3ivejFJkaZCLw2Nyzqgo1R6knP3IKdVEymMJnP0HqC2gq7OMAj9KaimM9oV5fY6WEY73oOtsDUM8rpIeqV5nLF5PiY6sDTdz3ldBrsf1xUZTiHmhIzOwi+37Klqqc0XY+4jv78FFZLJgdT/PNnzKRndXZO1ym6mNB0Pf0G5rMQObpZtRSFoL3HFAa/aakWNeWsZvuiYTqrcEXIOM62DWqr0lDNpnTbhvb5OeVsgVksmN+/z3a9omsa2s5x8fyUtnV89OHjIbO6gvo+x3By0Y6kqicYY+hj4EKrSYUYpGFd2yPGIa4Pdjg2RHGW6EGUAiB614Fr8d0G0Z7jwzkHh3M2TUfvYbN19H2f9F907TZ4cXUhgGE9O0B7QzURDJa2g4uLJR8/fETX9UG6MynBFICJHk49s+kkpBexhnIyo+mC91dZV6iPNkgiTKYTNutN3CSQQYcgMcUGfPTklPW2YTadcHR8xHw2AzG4ruPG8RHeKb1zbDYbjhY2AocQ3NI5aJsG7UOsILddo+2G6bSmOjmmE0Ofwc1YchPpU6Qrmv5Gu59sR5hEPBn0DPKcgUkPS17HJ7vipIFuaJREm7TvGdZ9ohvjk2zzNX6ZDPeI9Ckz7gRyUiNGNCdcGqOR3bbL+Mc1ndNrnhsf+3jvCvobQSjdu74DpkaFEkgbINVgiaOS+hfq0dH4JC/dkfXPjiOb7rRW9t4xtO3VvR318jpMovtjwU7/93v/aTg+9cBHUFQMxkcPKq+D6machytOSGEIJug0Rf4NNi5JMhEACYCJDCOkbtBUn0ZTFUkh+wPAMWKyGzya1F8+RiwelpQq0Sg7SakIxCctDEm/h2tJcG2iFAiRvCMNRsmhHp8WnUR7HVI8nZCvbBiPAfxo/B1czTWOTwCKhSoTUeZ45hKNmZWQ6VwTMQxjIHGcc3j++IXicGSma0gbLx8G0UjMfB4Ju2gMkghSgJSgNrR1OimY1HNc74PaT2ByY0bfhujI2JLOOcSUtJ2nnM7oXE95cgdTTvCuxRbToBaZH9F3nm7bUR8e47CItVhTYKoJ3ofcUUVd07UrXB8ykJeVYfnoBXJ0zGp5Sa0NRWGobh7TPnwftlu0LJjfvcn6vSdcXqyh91R1Qdf2aO+xQN8qffQ2quuKvu+R3lMeLtD1CnqHFpau9dSLKd3Kof0mRPy93OCevEBmU8zBgvJgytOPXzCZTCirKRuNNmouSHuMNdlWC2uZzKf0Xc96tcKbMDfEBUlE37bM5nN8tPdynY8bhJh+Ii8oDWPUt+C2VLQcntR87nNf4o033+Lw+JiLy0ueP3vBerPl7e+9G7ONK9PaxGSuLdPplBu3jiitZVJ4vPY8evSMs9NLehfSWRT1BLEVIgGmV1VF1/csVxsET1lVlHVF27YURTBCttYwm89YLVdsttug9lbPMDMHCQpA64XHL1cIS+yj5xSizOczwHCxXLHetoDStZbNume7nXF5ds6kgINZjTFg6KiTenU6xU0mOAaj/bwYMlNNKq3EaGVHqhMksENMoLGkKNUVpEZpTQ2SH7mGU2Zt0Qg4DCqqHYQUNpJEFpmk6ddUqGlDODyaWpABELGOnConEkSRoWyiFolG7jda8/ngupHCJ+xCmU8+dhn8K4Idjhuhg5p+V6W1r7ZKnraJ/0ge3DCWgwVSGtOsJYj1XAVoeRD2ANrecaXr4/nxinKvOn/1pT80x6ce+KQoyNi0yEKsHYFgcyCChWFnNbKwDx4y4QNbgltvjnujZEmPsSa6j46IhWQYgjVDbAangwVN2iEMucA0uthHgDWiJRqBWxGlQxrjDpHXTlRtqQxCktg+O3qjSDBkVq9D3ZoASahPRn8llvXxdSXhmmi4YNUz0RBIcKpKrSFrutcRwEMpY5t8lCRk7y4ZUQsddjohOagM9gJWEBWsASkNprJBvWcELaEbEQjXbuP3FNRYtssGe3hCMznC9Q31bIbrPdX8CDBYDH6zxjuoDm+iUlDNpsFDD2U6XeCAejrDqwvj0Qd356Iog9SnLDBVjXYt2/UFRVlSVAWm3SIFOFvhlmeBmC2mwT7l8hLtelQ91eEct93S9J7CB3WnALY0lLM6BOxTwW0aqipKNLwiVUl1vAAN0jRryiAd7Htks8WfX1IsFphqwo3XH7B6cYGIYeWU1vs8L7yP8WCco5hVbLcdhRGKwqZcseFeWeD6jq7vMLYIKs9o7IsR6PtA8FXxrgffId2SGwvLH/25L3PnwQOOb96jsDUYy2R2yO1b9+i6hlsnC549ecIH738ACovZlOWmpZou+Oxn7/Hxw4/wznN2esH5+WXwkkMwRUk9PYgJRyW6o4dM77ayuK5hc3GGdz2CoSxLiBuEzXqDNTFIhPdRhRvWXlUEG6fORVVx3HF49UG6g7A9D0ATKbCF0ndbNpuOxeyI1QY2657Do4rCddRVTWlL+rZhdnyDxsSYYs5HiesI/JAAi6azvC5S8EM/Oh9LfVLptNZyffoK1n+Fl+4yzjGkGcGSUakIUnZ/DtVFArOvEsuii6xS0wGyjERCoUmp/7vtG1RW6W9qgI42hLumO3vyExJAGgOPHaVZBDr7YHI4Zxf0DA3Jht1J0hWAYHzDGOShQ0BbhtACYXgiDB0DvPiS9LlGMHJ4+ScgE/3E+/s39Nqr/6KOnwSA+tQDH4uhkGRDM7KFgSx0SAH2fRYrgoQtLA6f439kcBAnbAImPopKDEGVpppc4cOLks2OMyDisTGYoWYCMU5gGCQxxpK9ZUImcYFcKvbBxgapj9Irk2sTTfKgFNU5gozYQ8mSrDAGXkLbiRGkkyu/pMGSECk5oJZo9+SUCcpMPXPvqfBYH+53QKOB+M4Eyqhe3FnqeSsZGHCKJC1CaItE76BCYgJTQaxgS4N3Stf0ITZHEVNHTMsgUXPBDbpresyswvWwbjyn6wvu3jwBLcBWlIc3WD/9GGOE4uAEe3ATbypsVdFstkEiJoby8BjXNICyuVxSVvWwC0a5fHnK4Y0TtCxZPXyf5vwldVXSnb9g+f473P/Kz+GXp/TdFruY060bdLWiWW/pEaSuWBYFRV1hjyZsLpa4psc4T9l0dKeOiQUnwmxaUFYWt46xiroe5zZUk5Ku7ZC6RsoQVwrn2D56iluumX7+LahqvPOcr7Zc9A6sobSGpusDM/eevg/RtYuyoG1anAavrq5ZY0wRop5LTDMhLnhdicGbIN2B4N3mXY/vNhi35cGtGT//r/4xbt19gKmmIR2IKTDGhrVhPGIsd++/zutvvMlPf/nL+L6l7zbU0wOePX/O5cU5XbPC2ILLiyV9FyVVRqgmMySmoFBCKIOyKOnV4/oeIwWzwxO6rsWWBudc2AyYoE62BiaVZVJXIV7QtuHoaMGtWzfpup7vvP0u2y6mgsmMWYgGQLRdH6OMK4vFgrMXz3j4wQcUVljUBdo6ytKyvWyZP7iPmWoA6t6NJDAJSiQPriEfWVp2OwIhVVLww0SSAhCKTD+lpEvkao+77ApSdmDKzs8dgKM7pXZuJHnMFYa6o7oiq8Oyjcse+BkMl1PjktRmr+3pNTq6Nd407UKXnWd1BFZ2ZSbp72AnCVcBUDrPkCtfHwO74c+uvGuvn5LA7tCrHH0+jtPO/T2X//HYjGHb/jF+w05nxxeuNv+a4/o7Pxy8/CTgzauPTz3wSUw7Jej0fjAsM3EVBJ4q0ehWMkBSoIjeU5AWRAzcJ0T3dAEzLGgj4DRIkZKhMdE91kjMISVkMAWa1QTBRX1ksByZfVBFaRCJZ3sd8kI0aWnF/niJkpBMAMjSl5R5XfIObFBnxWGIKTiGIUwJWk0k9B4QrxSqVN4z8Z4SxTiHR9iqcO6V5y4AngdWmEXCkMLSa/xtYp+FGFnbGsRqznXmvcc7yek5UBuYnhG8D8zfew3Gs4VFuxargrpAI8qqYrlq4LDGmiKA0t4xPbyJFBX9dkV9dIPi8AZUM6rJDNc7yqlFrGG7XtNtN2zOXnBxccmtL/wUxCjFfdNw/vQJs4ND1pdLFjeOWL98yuzkgOWjjyguXnB09xbt+RlF39E4T7FdQduz3nh8NaMthFYMcvseT959n37VsmqUe7dvwdkZ88KwXTdceDg+mbM9X7GoLFVd47ch5UU5s3TLNdW0xGtPfTCHskTLCjupkMUB64slMofzZ2dcLBs6EcrS0nUxwjCM7LoM9WTCweKA5y9eYouCvtlCjHnVux5Km23aJCL73vWo6+jbDdp3aL/h+KDi5//0n+Lea28GbysicFIfvrgIIhajymx2CIAtJ/R9GyeJ4fBYuVxeMl/M2ay3rLdNXNpCWU9DDCYxTKczMCbEB/IuxOlSH2yAihIxNqwnI1SloS4NhwczplXBnTu3OFgsMiMyxmKtwTlluVzx7oePKcqKrnU5JlFmTkZomhZwWPHM5zVu2+H7Bul7Ki3AFdhyRodgqhrpXVCRJ8aVpDVjsIOApsjaUe22Y8A8SHpSINIk/bni7r7L18jqqRHoSJcGlCIjG5y85RpXkmnsyLqHsXu7jupPEmQi1UuZ+YhzL+Uk9IxM+yDT5XHbr+CMETrZB0b51whAZFA4QihXWfMY6Umu8EqVIwS2A5JkdG8XGoYi8f6+XdMQH2t8PgZrY0+7BK2Gd7xKpadXLo9Gah/07KHJK+DySoXKbsE/2MenHvjYCHoSuk8ykbSbSfYqCIFZpvIE13WfrIZHiz4xakFiJNVA/KzGTOUYzMiA2kcbHiuBkDgf7WoIvy3hd2+GxSEqFAJ91DOIJpWcokZiIMLUrvA/K1FqFRuaJFkpwGHaaZnYpRAEMHqpBItrFB/TdgxECk2pJDSIYnzIx1XiqfFMVSl9UL2sFS5U+cAJTzzctHBig3quEEbebxo9voIReNoZqgtWRzmgo1c0iBmCei8yw/gVA5A1JoQZcD4aslpsXQaJTbOlLAp637Goa6TvaJ1weHjIyw/eoZ7OKA6OkWpKeXBMs9kEjY166smC+WyBAod1zXZ6Gb5dYXIcnunhEUVVYsXQLy9he4mebrAvHrJ+8Zwbf+SrrL79e+jFKdV8wvr5BfLaG5yvX+A7hxyfsFw2nP7gPU4mFS8ax7JznF1csu48DkvvhLVXDs9abpVT5tuW2+K5NanoV1ssSlFZvHcUAhiDOT5A5wvMwQJzeAPTdjTrBqtwebnCFJY+SjXFDDSsbbbcPDpEbE3XdkymU27dOuHDZgvGUFhDs1li7QzX9fRdC6L0XYfrWnzX4LpNIMR9y5e+8Hle/8xnUanoXY81RUgy6gefxQBGbCT0QVppyuAO5bxjMp0HqVLvuLxY41zgNsYWFNWEoqxZHB0jRRmAv+mpiprVcklV1/Qi9C5wdcHj+pajGws+/9brHB4dAkpZlOTcdknkqIqI4+bNEz78+BFN24a5iGaPNjHBC6yqS1BLs92wuXzJa/dP+NIXf5r1+Utqq9TTKV4MDqFttxG4DGknMmBhzGR07DBHYmmJ2UYBbjaEZkSrsjxop8JRLdm+RPZv7op4RuklxpujfCQpjowp5C4bzjwxG/iOpB4x0n2uc0ADO01KZ9e5c+v+hes6lNrwimJJyTYAity5K6249h3XFcv9jiOSgOQOSBtLpoQE3PJYjc5DieRIE0vugLGhnqsyn1e0e6/5w+XRqF+ZP3/4j0898MlGZRoiDucIx+n+6EfQ9RNixkRJQpp4aSFbQKPXlXM+5piSYC9kBklSClCbwIdNb4rtECQmSw1HkPQEUBLMd8KiKG0MfqhBIiUqBC/kYBgdXNAV0RCrSCz0aTelMc6QprQPMizwRPc05gKzKQ1EkgiZGHQxgCaj0fU9ApdCYOIdc3XUPnjxrJzwzMHHCh/GAbhdSEidEG15hAHwFEaCYbcPS9dLdKfvNKq6ZAREyVm8EY/2YEuL2mAwjlH6bZuV+dq2Iclo7ykWh9SzKVvvmRydsF5dcvbut7HeIYsAelzvsX0X0nEUBUYtpixDbqu+Z7tax5g9NeoczXbDfDEHes6fPGNxcMDl938Xc/GE5fsvqfsVE1G6Rx8izRo2G6QIka/PnzylWzdU04LL83NeXrQsm5bVpmXxubdY6jOeXV5y7pTNJtjMYAz3Zgu0KjEXp5RlgamFiS9xTYsUhsmtBTqp6NqWuq6Qo0O0ntNrTHWw2dJcrnm5beg1BBO0JqZaiQysrkustcGrrRDK0vH446fU8wOaZsu22WCspW9buq7Fdx1duw0Au2vw/SaovFQpxDObTeh6hy2hKELerWzvgGSwkXa2GieYSAwi6PrA3H34LueXKxJjLKqaajKjqidMZ3M6r2y3G8qipGka6npK325jHr4Uq0uw1jItC26eHGHLkq4PARPD+4fo1IoEiZHrOVjMAmg1ZYxLRJSk+LjO4PUHd1kuL5AbC5rNkocfPeb+/RvYQugTyPEuAB6fbHNGtj1hiYxUWgMQyuquyKV2ruV7Qo7uzC7DSsIO3blwHcEcykqkeWO+PAYhgb5G+qeMpMRjRj7QHDQYOg/PDeM9DuKX35kN/gZAsINFRm8ZYYnYPR3AS4YFCcTt94LczvEN3S83elHGBju/B/ixAzySi3+2H4UkbdtRT+Uo+YMEZ/zfUFWSNu70eg+N7kKpcQ25pnG7d9r6SSjn+jmzf/Ua7PdDn/n9Pj71wMeYAD1s8gxXcDEa3hCuPbl3x8B+VkB9BiexVOSpOnouLqQcFTpKgjS6qUeJTvYeGy0MhCx5yYaT0VYne2rF9hoVnABi6NVTGBPphCUZmyRpqUjwNPOSPANMTHsBxBxbPlsvS1Z5SWw7EsmtRCCVqDEDMzL0FN4zIURqLrzSeHjshe87eORhK8LdQjg2MJGg8jI+SLGshN2t60PdJtlg5QjYAlawhcW3PcZK8ByKO0uNbl8pRolS0DeOtB80pcW5ftCNNxtsu0TXLXLrBvPDA9quxxcT+q6nthY7nwVD1vWaajrB2DK4HHsPZUhpQFVxcfacSWHZPv8Yt17Qri8ou4bzb/0a3UdvU775ecxswva9x1SHM/rHH0DXU1QW3a5xtsCLoSoLTleOJ14533ZsUB61nu3b7+GM4eade+hyiVuv8c5RVRWbruei63ijKjC+p1k6jIfKGGyMC1PemGGqCTqbUsxn+HqG7xW3XfHRb/4uGy152fY0GuIf5XQIcZa7vqeuSrwpaLueop5Q+y64swt0TUtVVbRNg/cd3XaFLUp83+P6TQhySCC1s2nF8e3bUTXqQjRokajqSmhW84IIKqQQDTpxOCXkD3v67CXLyyWuj3ZuYpjM5swPD6kmCyazOTNrWBzMuTg7ZzKZsF2v6Luevu9DNGavEacUPHt5ybe/9TaffesNZotZbMpIogAkZ4CqqrA22AKVVUHTNLiQtTirq7peee+Djzic1Uwr+PwXv4TrO1Qcxhqca1HfkpOSxvcNOfESQFCEFMcHBrf0pN4ZSYdGzCsx4gEIjT5qIFKR62U4s/NnpAUikbV8YQRqJI3TvqRooGxXxvBqkQEA7RxZpRWA7S7z3nnFgEH0yq0M2MZAcSg0BjPXAaCEs+SaO6/4lT+AcAVUxYYMcXsSrR4Ml68DQGNhXAY5AkO+MR19v7Gh9PDfDFTHfGenD3t9vAaN6KtuXDfwf4iOTz3wUQnSg6QucXFGBcnKsACt7NnEp0BmidmmiSkj07uoiE6GwhDVNvFIkZwjVo8eI1E9k/a3mcik7OsDQQv2NBrdYKORs7WI+vj+mH9MBhFqsE+INhtJwhOlNWJsVrslwuBjHJxg1Gzx2Y9NMolORtuoIkYpHNQC095ReuhVOHXK+05438NKhJgkICYnDXUmm6rODSL8kKcrpu7wARShinjBaGCGXeOjG75gTHBlRwTtXZDGlRKiKkuwBeq6HjUBNAlAv6a3LyiB/sPvo5M59sZt7MEB20cf0MwX9I3j+MHr0JdsLi/oNhvqxQFnzx8zvX2fejJhs1xSzqe8+N63MThW20voGuTilP6db1JXBv/4Q3S1YXIwwXcttB326AB/cUbhDUVlqHtHOSloEeR0Q2UMj72lmVY0XYsonC+XbLcNznvuP7jPZrNGxXDa93zYeY6dY3Z7QVGV+MfPEVFMZaEu0bpEKosXEzPEGwyeyaTgo0fnLH0YP+89pTWoC9JKr9B1PUcHC3oKrLE0TUe7DionRSnKoLLyrqfbLFHfcfv113j4ztsB9CQxIkLvPN//3jvMDm5wdHI7S/eIDgMj/QYDepfsSajR3ggEUxTM5gtUnqMo1lom0yld03B4dDMEPfSOwhoW8znL5YrjGzc4ffGSejaPsYQ8k/mC6fwQY4TzruO3f+/7HC8qPv/Fz1LWdVg/EmyBUqoIawvUK33f0/sthRVObpywWm1Zr9eZgU3KgoODGXdu32R+cMSLly+w2AC8ijIYfXsXe5y45aDqGqelSOCG+DeERdIxX83PotH2J9KOHUAwEJPR70G6QFbvDaV2gEu+dw1QiRKcK4KeUfFEK3fhgAwbNpJNY9goJinNGIQmAJqeT9cTPtEd0JE2fAzYINvKjNj4UGTUziuO66O274Ka8bP56g742L05BiZje6ixkXMAmBrbltoSn4idHaeqyHHoRkF/xkBFslToOpC60/LrT69Blrp7cvXhTzjGc3dPXvX7fpgfXmT3+NVf/VX+yl/5Kzx48AAR4R/8g3+wc19V+Tt/5+9w//59ptMpv/RLv8Tbb7+9U+bly5f8jb/xNzg8POT4+Ji/+Tf/JsvlcqfM7/7u7/Jn/+yfZTKZ8MYbb/B3/+7f/fF7BzmthI3bmCR8SUZ8yT4mzfAkZHSq0YMlp48iZXROu65B36yEOD46jKgQJSqkihmU8yMET/DASZM4O4qK4A04Cf96QE0AHjEoUHB/H/EPNcHrKaiHBItQiARpyyCmwojJKiRrYnUmgCeVAJh82jZJ2vzEqMCiVChTDQlJxSlLp3zsDR97WEoIdNgDaw8ve8+2D+msnA+gp4tqlv3dV2Zzqpje47cdKtAUhjVCP6Ld2X3XBdftsjBY9eAcrunwXY8qbFrHBkdvetrNGj2/gLPn6Mun9E8+RJ89xCxPsc0F5+9+l+fvfZ/p4QH1tGJyOOPk7l3miwWiDre5xHjFVhX1yRFT3TA5e0j79u8wv3WIOI9s1kynFtQhtoDOQbNGjKVrHKbvmeBo256nq5YXxvKug8uq5uDGTerJFK/BJqSezjg4PKJtO/qmR3wAgI9ax+POszxb0T0/Qy2YGxPkzhwXVUn9Zo1bX+K3S7bPHnL+g+9gpeXltqOLc9JrsCGbTErqIqh6ZosFq9Wa5XLJZr0G11NVFc1qi+sdru/otxv67SVds8R1Wy5fPsG7lpwhPKL5siq4cfsuRTXJk0k17XI173oD2NljuALBRd4iJoCw5eUFhQ3trOqKO3duc/vubeq64OaNY+7fvUPfbJjVNQcHB8znc+6/9hpHxyccHd9gfnSErSaoMagpsPNj5OAmjy86fut3vsXL58+DCq/v8L7HuZaubWi2Wy6XK5KHZNd7Xrw4o2kaYtAEJiWcHE+5f/8+B0c3efz0Bd/9ztu8eHnBduto227IcRcZSiIH2UVdk53PrgFt4u4DQCLbFmamLwzPpujOqYodDiN5zIcXpNfI6PrwnGpedPlJTYhoxAP3Gf4A7UIf0v9Sm8eAaHBfZwAsCSJIhnhX/l0HtnYasdOfXaNgvVL2k+rau/YKrp3bttO54TzcG/Umf//BCH24lgDTcL5jrK5xXEbSwfHgjGWFV/6XPmd6Nj+WG7DTyUGA+Imjxu6ovhra/CRBD/xzAJ/VasVXvvIV/rv/7r+79v7f/bt/l7/39/4e//1//9/zta99jfl8zl/6S3+J7Xaby/yNv/E3+OY3v8k//If/kP/tf/vf+NVf/VX+1t/6W/n+xcUFf/Ev/kXefPNNfvM3f5P/4r/4L/iP/+P/mP/hf/gf/rk6mAyMBXImdofiTQwoKMP08KPFLUR3aiNRqhMmmaTUATIsYqJkKBjhCoMaKe1OJBMWO74fF5OXEQGR4Z+NqgFjDAaTc35lioDkgH+jVR1IhqTM7kF9ZiJwC/IiQ/Q9izsOyWk2xJpsMJykR8TnxYeozJV6xHs2Hp574SMVThFc9NF3wJnznPoAjNZ9UIeliMCpqSatr0i4XT/sfHuEl8bwXi+cp3QVxEzhjqi68Oi2x7d9CCFjDE3vaZuetu9YLwyrk5LVXJCbM9rVEj09wz19ivvoXep+S/vet+DFh5SlcHTzhO78KS+/9Vs8/Y1fpVkvsdMpZ88fUdVCvz7FbE/pv/tP4Zu/Bh9/j/lBRb9qUAxaWGgaWK/R7ZpiYjB9i5se0p3cxhhlu2z4wbMNv7XxfN9WzD/zFnc+8xbn5+fYwjCZTFgtV1RVST2ZogrT6Yy6mjCxJQd1RTmt0dJgp8LszSPqt25ib92gM4ainnDx8DnLjz7Gry/xm0vEb3BGOF1tSQqVNPRtHxKEVqVlfrDg9PICVeXw8ABTFnR9T1mV0PcY7WlXZ7Trc9R1qO/ZLC8ZdtvhI5VG+OIXP8MXfuqLTCbToHKOcz4vMMKkHexSxiqc6MlHSAw8m8+YH8woojeZ6zref/9DLi5WnNy6w8FJUGF++cs/zeHhIXdu3gKvqAqHRyccn5xQz+ZUsxnLy3P6PgAcVaGYzLls4NvffYfz83OazYoPP3yfd7//Ax5//JDHjx9zcb5EjOHk+JDJdEJRWFzf4fqOw1nJyWHNZ15/wHxxyMOPn/D++x+iWD76+Dnvvv+EzUbx3kQpqx+BEc1GyiOux9jN/TqWP4zViPExrK2BGSYIsQNxBr6mVzn8iN1lW5xrbg64Qse3hnmV+jWOzZWkO5nhxnuSB0R33pfqSeqcMW8fKhuN47iBsguuxhWntwzDsNuRXbYfLuq4jkjrd6u9Bi29Cgfkvg8AKHQpSfpi/8YAaA8YjRt6Hbi5ZtqMBy/3aWd+Xe34P9/xI9Wh157+fhw/tqrrL//lv8xf/st/+dp7qsp//V//1/xH/9F/xF/9q38VgP/5f/6fuXv3Lv/gH/wDfvmXf5lvf/vb/Mqv/Ar/7J/9M/7kn/yTAPy3/+1/y7/+r//r/Jf/5X/JgwcP+Pt//+/Tti3/4//4P1JVFT/7sz/L17/+df6r/+q/2gFIP8qhkflr1KsIQ8yaBG6sBoaZJkvwMoI0O6NiaceSPokiDWR1mUSPp+yKTZhURmRQN4mNzyVBpmRD6JSM1Hii51aQszglAyWN707G1ypJDxazy5PcWiWDKYPgY6dMikyb1GMkV+ZEZEKfXHK7z7LuNDZB4mO90nth5ZWHHp56CJFuwph6DVKfRoUNsI3PGMAmYieRTKqCCzKf9Lpe4dQJv73uedLBH5sabptMC/Bu+EYeT99H4/Je6XtPPS/ZGHC1UEyFVjf4dcus69FeYH6Ae/oYYxVnC7j/Fuff+KeIMUyPjzj64hdQWzN//S3ay6fcuXdM/+IR2x98m2J5Qf/yGebyAmcUPTT0bRfURu2Wzgt0nvJkTrfZYIoS07fUIvj5HFwDyy0zFVZ9T7fZsFmtWSzmbLfBpmc2n7Pdbjg4PKAsJ/R9x407d/jMwSHTF4+ZP3+Mx2BvHeGlwZ2tkLqmrKesHj1mcXIYjH1fnqLaUd+8zfsffMBF7wM4lbghcIpTjymDCrbtemzX02y3LFdbFgfHVHXF+mzD6vQRfbNFJATcIwLU7XpNXjJRQnqwqJnUFc+efMyNm/ep6llYH5Go+xx7iiw5SF6OAz0Jm4uiKFCF5eVy2GgAB4eHuK5ju1ziu45JXSNlyeG8pqhnTKYVT54+5/6921SFcLnteO/hI9rtiq7ZUNUzZrMZtiyx1ZTVquNb332X+bTg8nKFLUJursvVhrb3WFqePXkWUncUNqigVZnWlnt377BYHPH+hx/zg3c/oKxqpDC0zZaqLvjg4Uvu3JpxsAgpez0+A6CxjGe8g0cZYktoUPWm8gPqSGRqzDCv0kEhs25yobxbGkt/hjqTit8w2pWhu5Ih3X10oGrj944Kyk7xfClJkcbGz7vtGzPJSGX2cUac05/EQ8fv3b2xLwEKziS70jK9erY3dK9+fx6gnedy/aMHx7F7kj0QcE3ai1hvHp6RIXmy8dzt0bUtu6Z7r7iu1/x5NXj5fcYyP9bxL9TG59133+Xx48f80i/9Ur52dHTEz//8z/Prv/7r/PIv/zK//uu/zvHxcQY9AL/0S7+EMYavfe1r/LW/9tf49V//df7cn/tzVFWVy/ylv/SX+M//8/+c09NTTk5Orry7aRqapsm/Ly4ugGA47EWie3nwVjKRoaedRK9Ed62kynLxo0mWGAX2GkTdNu4kRCWmU4glfXIpChPUmBDzJ1bFONpCSBcxLMQUi4cogRpyaWlwTxZBfQhihxisaPTskmD/ElxXcJHzSEynEYQ4ksXfGqPPGmIOsbhojASvLu99VotpMm6OhpEClCJYdVhVOq+88MITL2xGO9MUfyR5w3XRXiOszZQuVfJuJgqcAKWwMUSACaoxPCyAYyMYHyyQ2hB7j9IGWxCfbFZQSqtUDlzT4SrBO2F7uaaelNhNx/blmsKBWa2x0ymd8wgN7bd+m+rggOLohO03fxv75H1md++y+vh30NMnLE9f4k4vMV2LXcyg6WMeLWC7pb51SNsbCnWghr5/jl+twnyrCrQq0W2DYKiPFtynpmiFh+uGFwYObj9g0zY0jzbBXqQqaVZrjHNM64rFyQE/+6XPc7BdsSgOWZw47Pk5Zn1J37X0ZcHiQcH5+4+QwlLdOaaYH9Ks13Sbnq2b8WKjuKpCmzbvVpPKou1DfJrNasnJwW0OFwve+OzneOe9h1yenfHs4fv4dhXW1CgkcGJYSdoZbF0Mf+JP/BFMOeWbX/89fuHP3cYaO9D+LKFIaDtPgIGPRIQrInz04YdUZUnfOWbzGecXa+aLGS+fPebw5BYfvP8DFosDirLGFAXNesON115nfbliURWU1lBOJkyNZVKXFEUwSm43lxSiFFUdpKv1hMvVJavVBudjklljKauKeiqURViHzgX1oHc9J4eH3Lp9i8PjEz569JT33vuQsp7gXAieOJlO4sbGslz3zKZ1MJR3DYrLdnRp5QxxfJLUJ0Z1TnQogxyGsnEcg1QkhQnYBQuDvcgeCEpDnyXIUcKSUUkKrpp+jusYgZbReSqwCxoGchar3WnZuG0DDRnqCl3cNZtGxz27yujZfTz3cRi3EWqJoCJPx4Q9x53bAS3jesZtvK7L6fuMBmhccB/X5Z6OxkbIUrE97LRb6aht+/d3R3q4N54bnwRkxtdyS/ba/Yfl+BcKfB4/fgzA3bt3d67fvXs333v8+DF37tzZbURRcOPGjZ0yn/3sZ6/Uke5dB3z+s//sP+M/+U/+kyvXDSZkEyfmmDJg1OSs0yrB8ytNeIgnKYFmWgXEDysBBEVfqDhtNMbjMUMQQSV6SqW5uDuRRYOLew/BMBWCaJ4AphIiyJoB1Qh4woI1kkDQsDswGn/Hx1O8IaIXW6giSniAoHcPQRVtalvMeJ7thiJBFRGsegoNUh/xnk7hQmFJtEHKtGgg3s5rnGXBlZu4q5OkuyYR/bDDCklNQ8qGOfDFSmhciBPkCelHWqcU8YP5NGYS8lOWKI161AvGC9PpAZfLC/qLNeWlCwTFKOoc3XqDsRJiB22fYLcb1h9+RFUIbM7YvP/dEBCvc5Sl0G88dlrDeo1XA9ZiVXGXa0xlcD0hKvemo7x5gu87/OUFdttA2+AQuk2PFIYHb51ww84pn6y5PO8pSsvzp2ecHB3TNmu61ZIv3ruJX634mbcecO9wwnz9kklzgboNJQ7XNnhr6Q8PYXGIijC7NcX3nn51gSlLxIao1MunjsdnK5Z9H8B9nPeudzivbLseEdguL+hdR6+ejz9+SlWWFJOKsirZbFwkkRrVoAbX96QAbIU1TErL0azgxbNT/txf/NN88af/KLPZQZ7LOeAemrN+J1WrxjlJnhVhDd65e5/l5SliSm7fvsOjR8+5PL9Egc3ygsl8ytPHD1GEoqx483Ofx3ctm+Upm2bDT33hLUxhKUzFzaMDnlqDV8d2s0SdY7aYY0zI6C62CBGja0vXe6w1tG2L957NaoWiweh7rUxK5fbn3+DmnXu8eHHG97//Hqac0DtP33XM5hPapsEYy8FiwXp9yYvTS+7fOUYzdoxMMYVx17R+EgjKaCeGrUgAaKQWTO7eOsCdgZcmTiUjhJKYYgK/jDy52Hk6f4bR5mTkkTEABXaKZ564z2THTUl4IzdgVEd6eg8T7B2y09SdNBg7b9yp+ArQGN9M5mfjvoxDCw0SR82VB08rjc0ZANRQdaLDOozLGAXtIxlNvCbafo7c3MnsSLPEPqn8cliBNIIZpO7PiPGo6N7f639evfaHB+Rcd3xqvLr+w//wP+Tf//f//fz74uKCN954I0hShJC4MS5aT1Q/RdWSmCA5CCokUE+M+qrBE8WEmDilBII59oTQGIU2YJXoAh+BghKNjzXFSgkSpECror2Dj9IUCeorJEYuje9Ik1t98E6TeN8FyBJjlIz2d3FOGzNIYHyUdGlymUfQ7N5vEBPbkNoRXeITSEGD+sIKlHgqBXXKxsO5Qquj3Vb6o0Hl1hPseEo0xxQaYmwMBpqqoX5RT2GCRMd3yi2gNwS38niEYVKcU5wnfk8FL1x2jl4FqZSq6+k/PuXYO9j2VKUNRuGtQwuDdj10YG2Q1nUvLiisQGXA+jCupWAnISBAYRX6DucFOy+D11zjcJsO2zcBnK0ddjqhL6G6dY92s6Zfb6GC6tYcdzzHb7f0z54hzTNeP7xF/ZWf4Td/51t86cEDzi4usTKhX6+YP33KDQM3vvN7zNRRGse26elNweTGlMIrxbzAAdo3XH74koMHM1pRitkULQu8U4rZDR597TdZObcTQE1jFPOkYjAitNstfdPgFdquZTabsr04ZXN5DgmsRBGBIpRVhVef58dPfeF1Dg+mHN28T1HWTGZ1TFwaxfBSAB71ffyamaPG6RMa5/OasJTVhKMbd5jOP2C5uogJd0PbN8sLludn2KLg+PZttqsLvveN32E6P2S9WoLv+f733+b1tz6HqWoqGwJ9ts0G323p1bHyHVU9RUyB7xumtWU6sTx6+Jyu60Ni2qKKjMdgraXvtnzp536O45u36TrH7/7uNymqKb33eBdc95umo+89XdfSbDYUhYV+y62TBbaocL4PcX3QGJohbQaStEdTmKCcC3DARQPTHLOu8b80vNcgkN1D9k4lK0wytkhAZfhWmunWToLN0bfMZ/m5KMuIv2Xv3iAR34NgkXZKRh+jyseAJAGBHRXV+LkdGc/u2OzFxbme778ChkXQMY77My66P/QDMNShzeT99ahv+9KwEXAZAaAMKBkB2gQo2fv8kkrujvNeRz/hGIE6vfbqj1LJT/z4Fwp87t27B8CTJ0+4f/9+vv7kyRO++tWv5jJPnz7dea7ve16+fJmfv3fvHk+ePNkpk36nMvtHXdfUdX3lushA3FPmchETpSzhc/kUOp6YTd2HZKXZs4TxriYZcPo8DW2M4eNj7ixRDR5ekZkMKyDeN9Fw03uwu3Y5w1Ql74QkhoFOQf3SYQkTzhqTdeJelASvhBC1Obw35ENK4MfEfqWdhSUYWKcw/2k3jhDVeZ5CldIHW53WC5deuVDoUhyktBBH4CdhHIG4I40ELqqn4o0g7ZLQ1pj2CKNKDZSB32TJVogAHc69Dyk6nA/gJ0m7rPOIB7ve5r6hLhBoB6jPbXAuqKyk74L9l9ghVIDzGCu0fY+ZFCAW3fZI3+O7nuLOHURbtOkwaug3LajHux7VFucdxZ0b+IsXyHqDcw3lwSxEmV6vMc+f0z7fUJ1eIkZ4UJZ0jx5yqI6pwLy0HG57KjTkKTOC844S5XLZcfPuEZXvKeaGhoK2VezJIa4IgRXK+QnqQbo1mxjKoChslMalpJzDt/auo1ldQNvw2luf5aMPPuDyxVPQPhQwgWDeuX+P+298hvd+8H0mdYXxDrdd8TM/90c5PTvn3hufo6ymKOOgoYF5izEYiizRSHN+jy2R4sUYYzg6uclbX/g8zXrFRx8+ptmGuELBVk9R1/PyyWOqusbYkrOXT0J6jbbld3/7t1l3npu373K2XLJarejbLeBoNy26XtPVW0xRQt/yxudep2uWNJslRVljC4N2a+rJjLIumVSW2a3b2Lpmu235zre+E0BNWmc4yqKm63tQF+zvioKuaSgUnBO6vo32fn2WlGZvrbS7zxsFhnEZr7NIhV5pu3NlE58ARPAITakgJP93dIyW//j+wHqHVD6Z2WYKdl1d6V1jcDEYu+8wU9l9dgcI7XQ/FE50IT+qI9yxIwEakM4AFYjPDu3aVTPtXd1zJ78WDI3FRqPXXgsFRt9yiOG4M7ADgIkAbYdLyF7lo9953CRDzp1mjVfc0Iqh/+NG7IC6V/bjmp+6f/MPBiD6sb26Pun47Gc/y7179/hH/+gf5WsXFxd87Wtf4xd+4RcA+IVf+AXOzs74zd/8zVzmH//jf4z3np//+Z/PZX71V3+VrutymX/4D/8hP/VTP3WtmusTD/VBzUXIBWUJEWWLKO4VAvAQ9UgM8GdskAwYyDuTMJcdlhB3poi2QpYUV0YzlBABsSa7vgfVkQkeWjGjOKJB6iImgKYIWpIEKtlLJC+0YOcTLLLz9UgURAh1GbLaIV0Lr4vMhwAOrA02T9kVXgRn0i4h2Aj4cfoLCfZKBqXAY7yy9cqph7WmwHMDsdC40IJhZFSNKbhI1HesgZSY94uQGDaK9F2MLSM+POgjMPIazpPheGGj0lFjSpCQJ5OuVVwXrnugd6DRGyyox8BWESCqov3gTm+s4DuP7z1WoN+6YM9jCUC1EPptF6R13SV2VuAaB21PuwkWEZMS+pdnFHQYv8IeTmhbpT3d0jw6p122UJVghapdc69QXnMr7p4/40uF5zULtwzcnhVU1kSArnQOiqqiXzYs7t3A9S1ildPvP0U7F5KALk6wx3fR2S2kOubive9TSQPWUMS8cSlnnckeimG5eNej7SVPP/4A0zf45pzNxctgq2Qti4ND/tVf/DP8hf/nX6TdNri25fTFCzarC77y1S/zxltf4I/9yV/k3oM3qcoJRgx929KslmSj1LR5kGSwqyPD3RTnKqwl4hqsyoq261mtLilsXGmaMpsHEJeYtHM9hTW4GFdou1ny/tvf4b333uH5k8esLy6Ct6aaoI7strSbS5rLUyw9d+/fC5Ib7zk4PGAxmzKvLfduznjj3jE/97Nf4O6dI7arM975/nf44Adv07cbBMfJ0QJRj3ch6CPO4bueqjAcH86Yz2e8884HrFeel6cbLi56+k4SMh/6rCNjZZJaa1B/SSyTyVw6yTrqEUuT3Xs/Eut5RaErICmpKJM5wA+tfFDfh/LXPfAqLnpda8bgbGjT0NKhzHUCDhn/zeOzB1p2C129F/+l1+r+c7Hua16/e8TPP3g4koSAo/vDvfx7Z9oM0q5Eg3VU784cG/3ahSYjE4SdebjX1lH53XtXy//BgDvD8WMDn+Vyyde//nW+/vWvA8Gg+etf/zoffPABIsK/9+/9e/yn/+l/yv/6v/6vfOMb3+Df+rf+LR48eMC/8W/8GwD8zM/8DP/av/av8e/8O/8O//Sf/lN+7dd+jb/9t/82v/zLv8yDBw8A+Df/zX+Tqqr4m3/zb/LNb36T/+V/+V/4b/6b/2ZHlfUjd9AM7t4+MnEhEP0QryZAouRaLhIlORoNNk2SNgRQYUWitEQzABETgIURKKIhcoiUTL4nBsSC2BDQLyQxjYshghpBor1RXDU2urFHzy0/svsRIWSYjovVxFVnxASJkokqq/hbJEgLrInXRCKXH0COF8Jzqb0xUWu24ZAgZXLOs/LKqSptXuCDmWay4yhQZhL+puUR1HSDiivJzzQBNAlG162H1isuArhEYI0GrzDn4+7YB0BrUPrO41yMFdT7kMHdKX0EXF0Xl58RvAPvPGWRCHfsp0DfOFAoLGhM4lnUlnbV4i/X+K7HzErEKrrZ4Dcd6jymtpQndahj2ULT0686ti82+FapJgUIFPMCbwwUlrbtOcTx2QmcbFbM2y0HhTATZYJiNw2Fd8G2yxoa59ko2FmJ3awQ7yhuHWCP5yxPt8HQ3U7wlBQH9/AOjN/yct2xcp7Wxe8k0bZNx0QufKWLs1O8b/j61/4JFZ6inpACYNXTKev1htOzs6DGaxu+8PnP8qd+4V/hi3/kq/ReMLZgWlUIgjWW85fP+eD7381AxPfJ5F+irjYHZIjmaHGCp3kaJZ+FtTTbdchKP9r1pqCiIUhhT99sMfgY9NPT9x2X56e8/91v8vzjDxB19E2I0eP7DvUO37e4bsPN2ydU0ymXF5d4VZ4/e8bLp0+YF7AoPCUd7WZFs16yPD3FNStObhzSNQ1ds+X5s6dst1usFdR3FBbKUug2l2i3oSoNt+/c5oMPPqJthfOLnucvG5oGUDt8iNg7Ha0n1bjKVMkGzzvUbgQE0nwe3RkFbI/AKYGQkRxmxAXHvHvMHLNrOYzU1okWjZ9g9MRg7xgkjHst35dyXOnWAGL2f43Bzciqcg8I7YKbVGfGhwmYJBOEMYgJO8xMJ3Lz80COkNFoE7HbiB/T9DfPAx2tzdG9HVAzUo+me+mBcdkdMDVGVbr7ga9DQ/tty0X01eU+qW8/4ePHVnX9xm/8Bn/+z//5/DuBkX/73/63+Z/+p/+J/+A/+A9YrVb8rb/1tzg7O+MXf/EX+ZVf+RUmk0l+5u///b/P3/7bf5u/8Bf+AsYY/vpf/+v8vb/39/L9o6Mj/vf//X/n3/13/13+xJ/4E9y6dYu/83f+zo/tyg4pgV/YTQaNVPC0EmJeTqLIV8IiMOqTWCJO9LScXAAgcfZrVJd5H5agiYto8MZKiUEFF/PRJFsbUJwMQQKzZAPJCyVJYlImaCMGNQYxSV0gefLmlA8E26WeeD+6Y3jZYS0hH5aQbTsScxl7nUWzZ6wxGNUo3fJY7+k8rJK0J9mI7KyGcF4AE6I0J34DB9GtPdpUjQCRoHgXyjhlYHAKSWRtNARDRBUpIsNTzWLnJKVSL3SajKWHxLCNI4I6BQw+Jq9UNOcMk9Ig8xl0G7QPKKtfO8pJGWxhjAdx2Nri22B7ZOsCNVDNCpqLhrq0rLoQK2p+d8HFkyWFDckyl8seW1nwnsWiQFulrCznp5vwPboQhTqD7qrACWzUcvygxq07/MWWpuk5ODhECjj+wq2Qb+zuG/TVAtc1mGbL6smHXD5/wfvnHV0Ej6rBkDzZEBhjsg2VKnTtltX5UzZ2wofvvsNbX/wSF+enPP/4I5zr+dbv/R7f+sY3MAK3bh3zr/6ZP83RjZugQlFPMSZA3T7mo7p57zUWRydBhdP3fO9b3+Ctz32ecjrD2jITbcHsqBIyAQd8BCd9syFYuMVvFddTmrht9FjbrNZZReydp2eLEcuq2QSbPGMzAwjqvpAtvWu3nD1/xNnLU9AAnLwIrmuZ1hZv4PT5M56+OOPyYh2CnJYTMBV921BPJxTWsl1vODk+Ynl+xvHBhIN5zbOnT7m8vMA5T11VPHn4IfVsDlLQtY7jw4qysntMapdLpHl+7Z56CAiUgclYErsLSQbQs8Os9wBThCrhvSMmP1grCuPKh0d3EUxStbzq907jZPwc2ctsd2aMgc7ug4mK6cjWJ6WGEHTXLXxkEH2d2iqpBeNeYQBC8Z35PiNaFd8XMEd6cGTc/+McEbikl2eelPDmTsOGvpDbNQKVxMEk9XXobp5Ret2HGJ2P7IY+scmv+PXDnv39OkR/7C/xh+O4uLjg6OiI/89X3qBMWS5jkkKFPAmDl3tUR5lEOyJ6NiYaKhO5reSszMF9nN3dUQQZSXRPmuiS9KuBwoS6UyDBcM9HIicmxWLYFcYpIf5Q/jVsn0b9ivBBEiORDJ7QgaB5H7zOEviAgPVcJAwhqGCoy6uG2D19z2HfMtu0LNc977TKu15YITHXWCTWUY0k6lmI8tXC8McL5ZYJajKLUEUwVxpiRvvQNyOD9MdLDG5IGNheB3uhziVgFNRfzoW4Q45oB1OEa95DEdV5vdMo9Qr99g7KWQES3i+FoW8dpjAUJzM6ayjdBuMU7TxlZWhaj5kUGKs0axdUZAhSBPVXSI0u+K3DVoLDcv6iRSYFhYHFScn6rEWLCZuLNeWsoqBH+piSQIR26fBbz9YDhWU+s3SdR2clbVHSu5aDvsf2nqUtmR+UlEcVdlGz7gzHX/kyXXVA5wpYbVl99A1+8N5T/vH7Gy58ii0Vp04E+DluSCQFxgR17/zgEFvNODu9YDIp2ayW0YwlZGOf1gV//f/91zi8dYeqWmBtgbUF07rGCGyaDisS4tX4ELfG9R3vv/1tjDG89tbng9GwB0TZrpdYW1BNpnGeRjWWczjX89673+bD977D40fPODvf0vdx/UTRrDEmP5MywGsEPiYGAS0mU1SVbrshueGneEKqDmsMZVWyXm8zcyyN4XhacP/2IfVsQScF68ZxuVzT9R03bt9hudqy3TQghuOTY148P8V7R10JpXZYC5PpnG3b8vzxM6rC0Dql6ZV6dkg9P2A+q7h7e0HXXeJcF0CX87iYbiOo3zS4yjuN9zX3WVVDxHk/gB800aMxudIrko1EvwYQNEgzEvmMuv9YNhmr7wKc/WMMFq4DXpKAF8T0F6EBu9BioAO7Ne+9QyTb/oVnh37nY6weTOOTzuP9/Dv+S7QZ3b2er8XxJtI+ctnY2/RKZQcc/XMdsvdjjGkSm7uKQgdgeh3Y5PpvmK+O2nul6br3Y797OpJ0xfFQvaZ8BlS7FZyfn3N4eHht+/6vHJ8ar65XHho9pCIsIGcDjsbOotF4V7NVfUrimbCFV2L+HoUieoKJB58M/OJSjoA7gR+TFrUx0WCasIuPodO9BJd20WBzowm1kzcJEdQk8BSIdAiGqJkQqSe6qZvUwyDdimAoZYZ3aLT3GZ4jSqGiLxpoAoZmIIbeUwhUXjE+uKh3QE8yj9uhqgPxQChEqSSCrCg5ikVGBtHknZHG8UZDe4NHnM8SLoGcfkQ19VPpCIbchVd8F4amiDZO3kcD6fyBw3U6h50GlZOpC/zhnPVyS7ntmZZBJemdpz6s2Wwc9Y2a5qyl2fRMDyuaHg4ezDj/8BKnwnRe0Fx0mGmFike2jvlEYGLZLDua85YaBW1Z90q7apndnKJlyeZijSlLuqajaztkVuK3Dd3SUU5LLk83MOs5ef0I2Tawarh1Y0J/uQE7pbclh6+9htoZpppj1g2rxz+g3az4ztOGjY+BMOPhM0CVvAuE4KHovaLqWF1cMD2AxdGCZrPBO0V9cHtPKt7V8pLjOw8QWyCmwPkAeJLRdJDNmOwdqBjuv/m5sEnQyKgi/X7x/CkXZ6f81Je/grEp21ua98GeazqbcfPeCUe3PB+99xTnCMlsvVLVNaiyWW9DmAJNO/sQ30YVyirkGhsMH+ISI0okvadbb+N6FqaTgsODGYezGev1lq5Z0ovF24JJXXNwtMD7Dte3oD3eKY8/fhjc48VzMJszrWo224ZHj59wdHKIWNi2PQ6hni4oqgnOwXLd4x5fcvNkijUW160HlcWwvx8IW/yb5rX3gWqJKClrRQIZA43KHDBWmSSv43foSAIUwX0iSPm564/r5AVDhPtUZgA7w8WkarqmvgiQxgBqNCSD9CLWEy7qdT9zW5KMWlJlo0qveE8NcDGrCzU9HMGx7tUxrKm9AbnG5T7fv2bs0iDkazpcG1CD5DZJpIfDhThiiUSPXcfSmOw0RnI/fig+u6bAPuj5pLI/yeNTD3xUov+VSbuBEbGLruQQPn6at8kLJXgfeWyS7iBZp60iWBsYSKCbUSJhTFZ7IUFF5QE1AXQkt3aJIASiwa4kQCQxRUZojM8x42WnnSEAYqzLjtzrI4QxmkDbYEyYDKVNTEiZIlknSZPxitfgxm8xwd1ZQ2TrEqVSxXofbXbYXaxJShbHWFSZChwSnk0RoY0OBGdXuxcJthICNYYPgNVYLoaWLiEyS6GNKq5xUDVrwg4sCgMoYlzJZFMeBXYYA51T2o0P6Ut6OC8KPjp3nFTw5oEynwbbns26RwobM3F7isrg+uD5tny6xjWKlp62cSGrfGUQp3S9hkCP247pvECbnrZx+AIOXz+i7z2nj1e0/ZqD44L1qmW57pjPCy6Wbci1ZqHfdPQOyt6z+uCUorZMxNOdbyjeuI29PcMe36KXCt2u8c5iTIHoJe88WfN46+ll+Nbq41xNVD9LfPJmNks/N8sVXjaUkwmLkxv0XUu7WeP6ju225//8ta/xMxcrvvyVP05dLxBb4rxHMdhoo5Ns09J7mqbn448ecuf2LY5v3sCaAucdd++/zp27DzK3SjYjKsp2u8T1Gy7X58wP6/AB7R2efPQSwdK2jq5tgGCwrarY0tB3Ps93RVlfnAXGHuJ9Rv4Q15QxeDfQBAQmk4q7D+5z77XPc/7kMeuzF2zPL2jdFltVWOOxdU1dF6yXS/quC4bTvgvquS1oNeHua7eYHc44PjlExfHk4zOMLYMLvVdUe5CCtrcst4aqKMAbVF1aYIGX+mGNDdxfSB5w6n0GszmrN4mGDIt2gFERkI4EzLJzNy3QkRQm0ppB2nMVCe0DivHPvNOXXcA1vD/VsQuYUvt1r7a9mq+pUzMWyUOW6OJY5YXuqfNGqrJRRwZ38rh2UlkG1T2JHo+DFin5XXod+Nlt8YCjMmjZvTY0dejYMHU191NHhQc8NlzbwVI7iOcTEK5eObnmW73yoZ/48akHPiGCsCUKdsgeJREAoCkqfAQDEFUYMSeWMZFheIji8hTJGKLtTfSEkujWbcWEyMNppxBBjWEExAjeYCKCjx5VUggpzpBGwmJGc09NkNLoyG3bmMHGwesQfNBLch6Ldh0uCo2jsU9BAgESvJ0iEBM0y43SQrMCFZ5SlSL627oIkhLj0Ni3pI4qRLlhDDdEqZQcz0ji+NrYr7GRpNHg5u58IsRBxZW6aCW43bca3h898xGUqYHGD8TN2hD40EWdtdWh/40Xeg9bhW0rnIvwfO1Y6pKNwknrKRA+X5rgrWWEooTmzFFNLZ0z1McV7aphfdqjKtTHE+ZvHrJ8smRz1lCJ0LWeYlqAU6pa2GygE+H4zWOevHdOWQdVW10ZChOSrFZW6Jue+azkctnhrND7YERezirm0wJ3sUGcY/G5m/gbNT0WqWbQe7q2pV4sWD36Di+eLfn2x2saMTE9QlSDRNCT3JnDSI9ceiWxy2GtdJs1zFxQz9Uzum2HMQXrDn7jn32dd955n/uvfYaf+aNfZTKZUJcV1sRccWn+qqftOv7J//H/4/TRQ77wpbf4Y7/wZ7DTBcZYTDUhq0yjrV3TrGnbDU+fvs97j9+BuaEpPN73zG5NuW2P6Vee5cWWxXzB2dkFYgzNpgmelTZEZfZe6bsejcnixva1eTOjMZ4OAxFvO8fJzdu89sabHN28w/LilLNnT3ny8UP6rmG73VKibFZbppOKF6sVhbVUVpiWQtdtuXnjLvWiZDI7xPuQ4d55xRRCWdcgFo9QliXGWpbrLZO65HB+SLs5C1K41M78VSRuceIHS19MUrkRkxwduXy2dB7GIYCZHdy3eybDo9cDjKHYSHM0mmEM7UtqrVAq3E8vz1hhtMHaUXPtzlv27lxtVqpX99oe7ml6MqG1DNSSOm5wAIgTZbDh2Rmt8biPRn+/SKLL44EaFR/B1Z1jP86PXrmmJBudHHRxBIBIKzwBzjGqSoBu5xXXAJVXYJdXqRRfDXV+2P1/ucenHvhYsWHnSVL8jIzRAopAjAmSm6RC8T6vtby8drYwicPHqNBGAB9VL+EtJlKRpI4JxqQeEYuJkMhg8+xNsX0Sg0ei/UFMk6GJUZkA0kKkZ/CE2CxhXgeX+ayvFsXEyMw+emiFfknUS4ddYbYPjZ3O6ig0elGFLO8Vg01U72PKDR0FtI9MC/VMRLhj4EiIHmzZVy1LX5L+vIipJ2ws4IWc6kMEqijdMoQcXm28V+joU/hgM+RiP1SBwuBEKL2nV2HTwSnC7zTKU4W1Kq0KW5RewvjPBH6qgGXrubzwHEwMUlnKaVCnbDdKMRO2lw3Sx/QARtHOsfzwAhGoJwX9usVMLMVBCZsO1/RMjks2zxqevn+ONcL8sKQqBV13GHXhfF5grGE2ESrtaDceUxumxnJ5tqVuhRoQB91ZiyymOG2Q5QU9BdXJG3Src5oXj/nWwxWnTmiiy7ePu8IQysCQbCCGneMI/BClmSZIQG1pODgoObhRU9QF603DZt2zXXYYtVxsNlx8720efvyYm8cHHB1MODlccHx8zOLgEGMLXN/jVTk+MEw5xOiGbnOO9y1C8AZz0TNrvT7H+57Ts+e8OH/ORXNOU/Q4A+J8iGfkGiaHJTqBelHSb3tee+Mmz56dUtiSoizZtg5rLCe3bmKKkg/feZ++aeIGgqQfCqlPYrTAtPYVWK0avv5b36CeHnLzzn1mB8eU0wXUc05fBNXc2cWK27dusFmv+fzn3+LRx48xeOaHc9QYTs9XPDicxPxcwovn52H+FhbvO5rtMsCYsmKyWGCKiq53XKxgMVnQbs/ITIsEGAZmPJhpjjwU41qU4eOS7S1kzOLyowMayH/juwKxGgBDBCFJ8sPeY2PwseuJRWa8w8XdunakGuP7O3BFxpN2p/ZdIDg0KHRvF9wnrLOjtorILktvdFS3jCXr+/BwcA4ZAE9yIoAsVd0BPwNAGbdJuWYsx+ej8vk0P7QLFhO2kQzsyPNgxz5rDIKQV7aBT7h+TUt/yLUf5d6/nONTD3xSQj0hSGKIhpQham3wzAoxdeJuQKM7d5rw6jMRTG62mkSVMuh3Q5TZICWy+Cxx8S4tLAj+7GF1GxQb3bQDGAvu6T4RGEl2EYPBsxI8nbJazMSIxQI+5uYKszzsaIORo8mxfByjHYJJNhYMi0Q0pPiICU8FHUKmx2JOgwFlq4OhbCIC6gcbnJnAsYFSNMZOGiab+vB+ETBO0Jh7y8TFaUSzwbQQYvAMbVZ6H13fkzTIRO83Az7G2RNVSoKRc+8VWwitCv9k5fleBE+Z/IvJO1ELHM+nLGiojya4dktdGfrWUywqmrbFNSHFhPOG+a2S1fOGfuuDpK/tqO7Mmbx+wOrjC5plj/OGyUTw255ZDXZe8fzphuKsYTot6Gc168st9c057eMl4h2lGg4PLI0E9VnrPDePaoq2BQ3u/ttnl8Ge+uaCftPBwU1807J5+C0ePTrl/fOWpQ/fXeP3MWJy7J4k7pcYmdxriNGUCKSPYKAqC+aHFYvjktmiwBRCtZhwqCFvlXMhBMD2sufs6WNePP6I0giH8wl1aTmYTykKS1EY2q5DgbIsaV3Dd77zW6g6prMZRTVltVnjtWfTrNl0W5w4OvH04rM6xpoomTRB4ljMDGVtMAcVVVEzO6qwwHx+jFKy2W5o2o5bd15jMjWsL0/pu46yLEHhve8/oXPjjOlxWsRxu7y44Ff/v/+IB6+9xoPX32A2P2SxWHB+cRFtquDpi3MqK7TNGa+/fp/Neh3WSdthG4frDYjDGJhOazbLLWVhwff4dhPWhWvAN5iipJ4u6LXmwim1KUD7AfAomR6kIzlxJo41ZuYJJ+wAlx3Akrz9GDBFgiwylBrDj4FnRlQ0AhQyrnNvLNPrd21+dircuab52XGD90BQvh5Lpo2iJqAVWXkck7Dn0mzruS9MytIaGfoRMEUCLjIqPoDLQQk3KAvHqq7g4LILfq7Y/AzY5BMPYfhesdnjTzAqMIzjYPeUwOZwf3f0x/DtCkS+ClP0+h9XgNqri/6+H5964JNWqaoJ7rUxkrMxgvpAjMIiCJAlPBPULsnINnsvSGAewaNLclA/74MazMfJr0qwu2EIYpgWpRXwJnicuITQk1dWoigSro21xyZJbCSAMy/sxNlRDfYsqgwC8MjQUmQgjWAlSKWGrPUhdlHoo2hKrhp21YgiTkE9LqoBOhFaSd4O491PHj4WFg6MUpkAQEodUpAFUBacoFSC0a16GewuCNGbnQ8SnsDkhmcrE6Q7rYNOoYsqu8LHGEEagFThCS7KKqyc8HstvKtCK2S1JnE8qqqiaxsqazDrLfUkgkwHxnm26w6ZTyimNW69RUqQyiClCR5jvUc2LcW8RiYhVYSdTVDXYRXEuPBZW6XpG47vH9KsetarnsbBwXHFs0eXeAfHNyc0q46qCMDZN46ygBKhbz1YS3FvhpwsWL3cMC8NXXnA7PZbnP3eP+Hs6Qu++bTBTad0l9vMgMYMKzh0CWJsdPsO9lcumSMbQYxSlMJsYTk4KpnNipDSwyR2EII6GhvGavliw/piie+UDcrFco2BwODjBmI2nzCdVWy3DQc3ZkxZYWuDLM+D517cTXsRvA3pHNyo3ZLytsS1HZaOYm2wKSorg+nD3C2nynQ649BPaNo1xmy5dWeG3Ckoy4LCWvqup6gKvvd7H+F6zQM1nU3ZbhvUe4qy4PBwyscffcDDDz8I2eIpKOoZtihCJGxb0PuO2aTi/PwCVU/vemxpef/9x7x8cc5P/8xnqKYFb332Dq7rWF4ugRCfCELgzNmkRMSwunjJdHGAVFNUQqwj1f4K4CFuFpIaLEEQN0YaDOfZG4thDMfAaHx5VP2uxGCXc+drmsuxy5WJHzBx51H8oPTs/tlu02Wvjj08tnMqo/7su8xLlISRQc9YCkIWw6T7I6iXx2Us65HRoyOUlcaAXZufDKR+CPjZ/3TXHVdAxR4+2ZHkXgFVuwAoSwKvgN2dN40O2bu1V0b3r7wK+fzkjv8bAJ/AtIFoG5O8FAwpi3lQPQVmj5jo5RHAD0iMBZScqIL5cPgbY4GY8e4mMJOQzd0j0S4oZUfPy9PmtKBpIxLmf4z9E94XFlzEAsPORwYgNiZYntTIACRCRvekioru3BjUu6y6M0bz7rAgEAOnY1IUQFmwCQlj0WkAJEGl5BmUWHHcUKbADKglAByjZJum1GeNxFIJUiQTRUgJlARfs1Bzn1RzBNCTAk27KD1qA6KjMjGAYYzXY6zQqfDra89vOlgxIp4RCdgyBBY00QUaG2yCti83HB8a6Hqq0rA83TC9MUXqgmJR4JY95x+sMMYwuzulPKlZPl2x/eAyGJ87x/SgZrP2VJOSpvOYuqQ8rGl7R9v2tJctCGywzKcl62VLd9HgG4ezhmJq8Z1CH+yFVivl4Gdep9Mee/sWN//IXV68830Ob9zn/O2vszl9zHeernnu4LLrs2GxQSAawed0IUWBseVgc6EB5Ip4bGGoK8NsXnB0XDOdV9iqIEXmDBLTGLy66Xny3imXz9b4bsQYNEjuOuew1oJA04d0G8W8oDgs8TODszH+UppP8e9YkAABoNq4OzUCJjoM2BSs0whOW2wRztt+RbfcBPshAfVb6kowYmPUck9VWV5/4wTvHQ/fP6XZdJzcOmQ+myJ4ZosJd++dcHh0wPnZOe3W8+4PHvPwwyewXHJ4OOPLX/1p3v/gEY8fnrFEmU4KHrx2k7sPXgeBs3s3+d533+c7336Pn/7ym8ymJT/7c29yfrbm+fNzNsstXRfSW6yXS8QarDG06wua9ZK+tsxmNi2vvNpComIyoxZVHANjT6kcJNK+xIZTwMe0CHQ4HZhwZNLICO+kVb4ncRmDogEwjMtfU/8AU0hLcjCkDuWu8PQMDPa4/Oj2cEciTkpgZ2hEznK+I3pK4GNwBhlBur2WDBvS1It9tV8GTWMaPWpblsTlsdoFPz8S+tnvfKp63Mr8n1RmGOOrEp8RSBuP8rjbuyfXtuNVoOe6s5/U8akHPpJFmcneJpkGRiNBEQw2SDMkEMN4ipHgft37QaohZlhACSlrtBNK9TkN+buS1X/grya/A0J9ydjaGpPF+AJ4GZKdIinwIbnVKe5IMJNOiCnWKhbRkGrBAVLYcZhkvPMU0b4j52rywYZGkopMFeOjbVJMBZCoigf6yNCSLU2CbwnUFMDMCFMJ0p4CcoqQRBCS6s2XwXaG1uE0BpOOY+RVKULNeKCNxEVUaFOQyfABqGrLwZe/xPqbb2NdH4AMQqch2OJHXlirjkIVDPvBruvo4+ivVXno4KdFOEHRHorDmmJesJh1tI0PMhFr6BtHyvimTukbR1GXwU2+NHQbpbnYImpZrTucWJptx8GkxDU98xsli5Oa5bMVk6lls3VUokjbU4iwuXBIISEOlQ+G2uZ4QusdphZ813F23jB58+dw9ZTt8hnvPFvzwdKxdMKm6SNdHwhf/i02gAZrca7PSTLFKFaEsjLMD2oWRxWzRUk1KfHEMAqaeKPQbns+/t5zVqdNjuE0Wn3htfHiZFZhrWJKmJ1MKRYFvoj55IZZtBsQLn4tIdnKBWN7Y1Kk7ygBErL6VGRwt5c4e0RMWM8xsnpg/iFS+mxW88abN/nMZ+7SdcrRyQx1Ie1EVU5COAV6bpwc8vHDU548fp7X/3w64d79E84vl3z8wSOq0vLln/0cJ7cPcNrTdz237sw5Pvkyjx4+Zb3acFTNUPXMD2pm81shFUnT0bQ923VL1/b0naN3YSdQV0MXJaqkEy8zxPAZPs5nAxI9vyQhpGFXNgI94Ub2Btv5YvsMfvgKV9y0Jd0bXUrgZw8wpQ3eDprSsbRnhENGrdiBOWNiJKPnYABUOQq0DC/dqTg8ITouM5pzcY1ILjtIUAbsMIzNvpnzTp8zGhvaMBZ+5d+5Ys3gdsf+Z+e4Agl3b8nez53iOu4EqXNZNjZCmRmM7rVh7xU7N6409yePca49PvXAh5iiQVWj4S8xsWHMUq4B+YoxcVeYfVmiVCGCpfz9g9hZ8GBCrB4X7UuMi7tgDeVsBEEhQKLGtAwjwqx+ED0ntRVhR+ohGvRK9NyKaqk0YSXFF5JgYB3b6jFZ5GwiAXAmSlNQTBETivpUr6LJ+0aD9McgYEJgv8KaCOACY3QaVGlJCgag6uIYh6ZZESYQjKE1tiWOdcwBGxKNFsLxFz9Dt95w/t5j+j4ApbSoDDGoojByPYYurjArQmlCAesd/XfepnQuGD9rCAXgVPigVZ75EDIgtpi0NRpL3UDpgY8cPG7h9sLSWXCdUHml7T3t2jE7KTn/aIVbeWwh+F6DAXPvg4ech9VWqOczts+XGBzzW1Mul55CLc4pvRpms5KL5w2H9w9ZPr7g4GaNW5R4DdxdnSJNF9yTVWkbxRiPf/YSf/MYufNZbn/1F7h871ucv/0bvPfkJd8+b3new6px9G5wxx0zPkUR9eC7OM7Ri0qgKCUaMwv1zDJbVFTTKkhRYlTIFBFrvWx5/7tP2V72OWheekdmHglkWKGoDMe3ZhzdWtBIH+3Z4pzWlNOOXQKaJDwko/jI3EdSzwHIDMBH4lpKtncpX12+Htd1yFcmLOZTUjRiawI98LaMEcttnpHvvvMIHz0kxQir1ZrtesPNGwdMZzW+d3z88SmzxYJqUlBY8Oqwhee1N26GgITRoDrY5QRgZktDZQqK0oRwDs7jXIgj5b2La3ZAMAM/DXQke6mlzcGI0Q6AY+/IvC+xPYn/j7TAJKeO0aLMZYY2jG/toJErOCm9bfg+w2sl/x749Ig5D90jAacxnjFkqLLbvjwmIxShsWxEJlkSFWvIMadGSCytGyB7ZGXj5yTtYoALQ0tHqq10PW4aspu57mGzdG1o1tUPl49rYIjuFtW963ItAIot12EMh6vXvXfvVT8y4vmDgYQ+9cAnxCfxhGzskfGqoJIyboV8UCnIGRJcpjUuxuD9KpHQEnejcbJ5RcUMk9OGmD1YpSeI5UFjDCEJxrk+7D4D2AnG0Jpj9USD5ki8rcYM4XGRGzVRouTj7q5A1WcwlYyk1Q9MIC8LGyZ1DxhMTNkQVpuJ25JQl2RbILGKRKmQiSnTPdAog8EsICYGd9RkgRA8j0qGBKXJUDn0Mr4XgdMXsO0jMItgbkQ4jASQZG0IQtg5odFgK2WJYDa+Q9oe74MNUOPJ4ucLhRiSbmfpjonZCAuxVHjk4LO9YKwimy3LMzj6zAGejqbxHL5xxOn3zxGjTA8qvLG0F30YV69gPZfPGlQtXdvRnW4RgfnMsFm1nF30XF40mKqi71oKU9D2oCGeIsW0Qp2nXbeYKkjFfGmQsqRxnvkX/wwHP/enuHj6EcuHv8fDR0/4xkeXPO+VVRtA2og75t1/IvIiwZuuLgUtwDkTwElh6PtgC4cFWxaUVRm8qJSQ10qh7zyP3n3J9rKLgTDToKZzjXnqDNYa6mnFjXuHzI5KnI0JcNMDkRGYKJFLXyXFuUqgJ8xpjaAlrIUMXkwAwmkthLQkYS5lgBCBUB4HyTJUxFqSpCC915oEeEI7V8uel8/PmS3muL7n8PAQ59qQbuJ4yi/+P77Kt7/5Ps+fnTP5aM7hQcWNW7M88zTnsxuzRuLaC6sprGOfy6oQ7foSjYiTdcwo01we2alkRpqZarLni28fg5R0SYbn8910Kc2hNJ5jSToJWOwCLBldH/ocxzxJUlK9Spb0DaXJizh9KcZ1jodkD9ntjHK6NWbqmiqIAzUaj6DxGiT2mvsrQ+06bvsYpQwN0xxDZ+9j5VcN79ZPKPbJUGH0zuuuX4eLRtckI7zYnBG4u/KK0TvGa3ev9lef6nUlfzJA6FMPfNLEyYHU0s6QQGBThNnsTm0E54IhZp8Qcg5gGCaGiWQpgQ1vPHiPkRCXJQQXhCQlUQmu0kmsHCQ9AeQkFVfUZuR8YsF93VPE4GvBa2nYPaQUG8moJwG6YL4RZraMVlSKNWSNxAB2Gt3i485pnJ/MhHxakFSBQqGhvp4QJTn0L9af3LTieBsJDCclDzV79MWYKM3pPM3TixBgMO2sCCDTmsjEspQpECSLUgOoYEdMsizDoDgXvtLEhIxOH3XwnT5Emt4/drK1JAKG0AKPnPLovMNPhMqAdcrLD5bMjmuqg5rTZw06LZndrGkv11yctkwWlsm0YnsW4uzMjidcLh2TaY32HrfpYOugVdTByYNDpGnZvlwzXZRUi4KubWhfdDTbDdXM0m96xBq8KNXhhLaec/RHfxFd3Obsu79Be/o+77//mN/56JIXPay6EAcp9WnXZXXYvxljsIXEcRMaDYlZNT48SFOgNAViwEkwnPLO8fLJkouX2wDM94YxVoAtSoyBelqGvGqloIWgEhKIurT7jZND4jcOhvcjUbswOCXIAGZ2pDsR2IUdwp4B9KjMuFywTYkRyhnGKsNjGRNs4eXLM+q65st//E/x/g9+gGvX1JVFtceIZTqxfOWrn+fDD5/x4tk556drjNzm6MbBwGdJtGeoN93ICti0o4DRyWiMhhaSHS8UBhgvw+jtM3mUwZ099XOPM476nsdrmESR4Y/Gd//b70CcxONlaAJDpUk6ld6zh0F2a5W9K2MpzjCS+de4j2mowzIfAUAdPMASSgiqxJFKcQR+xg0ZVFwSwdKY0wtj25os4Rleu9PooSupk5o7cx0g2j2uAz3jeTO6vPeISupB/rEDgNLz18yQa977w45PLn8dOPqXdXzqgY+RYCPRq8dE/6YEAhLTh2jQKwJqYqTXGPHVBaVTyOZOTAiqiBiIyTYDgAnE1ihZ9eUj0DEquCjVUWOHnRwQXOnDqi9SUkUBxQ+7cxNc3TUHfiDuOILdAqqIBXyMAeR3+48GCVR2Z4/tDTnDyGqkTJITQBMJaQoyEBMKhQmj2DyS3OYHtZ2mIFoaXPZN8tyK7xcNoMR7xbUKVkJOLQ3XPEKhMYcXMeCjECVvwfDYoSmXLE6gdQo+PJ8YnUqQ3JxqXtpx6Ha9PQKzGYixAi+88kINkw6OJ4KdGspZyXbV4zrHZuW588YCdR3lrOKAnsXdmtWTDVIYkJKz5xuoDDNbsLnsuVx5ZhPBd8qsFIq+o123HN+ccPZow8JCfWzovIacY/OK+Z1DmkYxXQPTBeboLubwFs3qlM2j7/Heux/wtXfOeeaUbQz+6JKNx4g0j4moMUI9KZjPKkSV9bZj2wRLG2stxoa4PRKDtwzGwwXWKGVR8uLxxzEW1C67STtXWxQUZQmi2NJiymj3lr4nUQqKZsCpkONEBS/JwU7FjEBPkGgYsiorgnMjgwrLRNCX/5nhPElQI+wPz4xBwAiQjPgjItBsNjx//Ji2adhcLrl5c8HB4QFKG9asgddeP+bBaye4Nm4RJPUxVD3A9fH80zyASUogMiDY7M01AgQh7EPy4kwwMUKfkafQrvZCdkBA+j3w3assbpD2jO6Pnh9fT8MX3r9nv5OL7r5D9qpJI5PataPykvEdZTQg19adKpL9MmkTMAZP0VZyEDyNgKiMRngkMkkSn9GV+MoRuJSxAkwygE00bQeuZZAzfL9hAEcd2h29qx2+7vghAEjGP3K5Ebi7vtYf+np99cWf2GF+eJE/3EcIthemnZEQTyYFygu6/xjK2Bgckr+5SQzdBBsBFUIYHkPWp4sEr6gAoJK9jEGjGJ4k1YmE1prkjZJQtCQHCrwxwa4gSouMiYabJi3mFGAxEpSAPPBiSTF31AQVhY+cP03UBFqMkbzrDR4yA0FPyzp5kiHB380kaVWMJVRbWIgyDdZEO0QgJfATwsRKHjiadx2hHc6HpKEBg4UyRTEIs40EVVqvYRxKI5Sxj31KrGmEhgB6rAiul8gEgqdXq8ImtmMCiPywlTaQW1W48PDcK0uvLG5PcQZOTxsuLzq8sdz5zAEXz9as5IA1Na7xrJ9uOTt1nJ2GwERHByUHhWH1fIt2IY3G4WuHTI6qIAE6b5gUgt921Ci6dviNoZhVFEcV1Ibt5Zb+YkMze0Bz+2epX/8pNk/f5+Kjb/HOex/yaz8451HnWXXBk63Phq0J/emALeJ4V3XB4UHN8UHFrC5QQuLLvvd0XU/fhySYvfP0PiQJFTEUYpiUJZvLhu26G3bnoyPYzESbOltQ15MgXSoNppDdXfHouyRVTwIGRIAc7MOIwMbkfxnQEOZxCoo5ltokNRjp74g1ZZsShjWVGfUIXIznx82bh5R1SbPZcnByA1tNeHm65v33noDUGfCHJjikYJDS5loCe0kpNHakjllVBcm7beB4I/VVpD2S1qnsgjziOjeBBA2SLjPu7u54ZOAxHp/84CCpyEBkVHjHSyxdlqHecX2DpGj0TdIDjP+l9yQkwu61XOf4hVdm41D/zpdk+NapHmQ0DRL9jHNEZK+M7L4uPyPDK3cGYdScTzofyOQw5vvdGfeLV5S70ltlTN8STbiu2A5I2XlUR/979ZtT1btvveZ9++/+fT4+9RKfgD9MJhhhVxkWs1M/LJ6065fgqmuQoGaKCz9kmU4AgiFLO2GBWAQf3eUziDASUjtEMb2PwRFT/q3UNi8BTPX4KP3R7H02iGUT4oq7CWNCigcUTABYBSHJYggILSkXx65RNAnshF2zS6DQRhUf0VZCyS7LqZ+lNUyscNPCzV449SFRKTIi7hG49ZBtl1xKkzBibALZ1TJ4kg3fR0c7Iq8hk3oGYya50wdDZKvBJNWaIO3YuqguJLjQf76EUzX8n53nMqkA00Ie0e90hBIhQOPDHh5Yod14FscVbdkxP5rgPZw+usRvHIZzqhrsUY2dlehmS20VUyiFwstnLaYqaLY9B7VA02GtMpmZYCjcC37jsPGbXzzZMLm9oNu0GCtsywOO/vSfZf6lP8Ly6cc0l49YfvRNfve9U37v4yVPGkeb6Ermm1FalyU/ceysUFWWg3nFwbSkFEELQ1UVbLeOvvchkLHzdJ2jbRzbrmfbtVhrEQOLyQHvvni6mwF8PH4asqFP5nPKeoKxoLLl6HiOLaM6VIc57jXYvkBiagHxiMbgohHAWBkxIdFoqBzBfBAFASMDaBngTQZKmB2mNWL7O7NAYGTYOjD+2bzkrc+/zsOPznlw6y4vi5dMqpqPHp5TT6bcuj0FhlARYaefJnaoY1DhDWEqckCstLp13JxEKySvWx21d3CqjhK+pJ4xQZqQKEbuR1pYo7mSbGsGvro7FtepAOWacct150EcgZNc9S4KMflDyJX1OIY7IKN2DJf31+74iUHAsV9woFUSmbLmj07GWnlcdKAVO0bQ47amR3MjhhaEDd6wyUxSn51i4waPb+xfv1LulRevOXT3XHfHJdGQ0N5h9IZODCXTHMyXX4ltrr+xA7B+AsenHvgAg6gyEiRFQuydlPcq2q+IAfVpMZrsZZImfpLqQMwWHj+8qkM0GEsHa5dA8IyPO1VizqgkcQEoBsM3G/ICDIEHI2H2Okx+jcQhGAZGBhJ10S6i+CBl0SCL0TFjDzYiKYgcojuGjy4+m1z11Q/5yyCo7aQwiIXaCidGeN0qz73yTCP4SWMdAUXPUEdPrD8aeIuErPQpbYD6kAKj1/BtbCTeIkHqsyPw1zCeBTE2EMn7LdqjxBxdvQ91lAg/XcEG4bc75XK0Y9nhSQLHN2/QtR3ri0s8ypnC41Z58HLLpJpQVAUfv7PkzudnHL8xpfl4Q0XL+RnMDgouL1sOD2uKGtqNY3vhsY1nZvogxWo93WVDNSuZzQzdsse3AWzY0tJg0BLMvMDPjpj98T/H5OQWtBvOvvvbSHvO8+9/i995/yW/87JnYyRE0NYMJUmJYsVF8hTjoRgBaw2LecnxoqYyQts6PMqkNGxrGzz1fJi73ild09M2PZu6pSoLyqIAKXjx7HLMVa7SLwFbVswOT1itzihLy3QxAeN3mE6SGFlkZPabVASBYKZ8X5ZBRmOSmsvsqrmsmGyYnICyJOkHo916aqZEABAZoyRAQFJGDURf4jq/e/+E9959TFUWnNy8yfLFE27cvM1221LYA3rXB2lNbkSaaOlvWIeZee7svseDmgjFSG9Nav/YAiP0x0egllW2KXZZnAOpPxkuJYmRJqrCSEo4MPIrh+TWjeobXR9d2ME4sg+VBqY7KOiu/kp9ZufZQFcGzDBiwDtXX9GF+N3TiOjwyAiAphp0ZK4zsv9JxXODBuC5vyiSemznyyXauocLslRvfPWV4OdVPfxRj70PPQZBeYKNvvIVnPKThi///MenHvgoZlDoSSQIklL0CCGhgqC4KIGJC1ZdlPZEkIRGoKEjgBJtSjBosuBFkJAiPDAkH214BNRGiU7MC6ZiA9iIzCq5WApJekS2iUmLLKmcJLiioZbIREzefWfXTklGeQEkoNG9XiTaXQdQE+xaJYKt8dgFSVVWdZng+TMrhFu954YoLxX60YpJ6gc1BoencR7roUrGyoa800j0zKjQEiQ4AUiGPntgVgtNE9JUhG+mpA2+AttoV13mxg9G6lsfPNCseL5QWj50jstdPpJXrTWG7WZD17SkHc2lVz4S4c0epmcdlQkxnbwTcIbL057FVKgmlumdmqL1PH9/xcmdmsIYfOExVbDpObo7o+sdru3w2y64xm8DgOsbxRUeKZXpUU3feGZf+TLu6AZy+Qx3+ZzV+99huV3zzY/X/MaLjpVPU3lgAHke6WhPlviLQFEa5vOK2bSi2YRM8F7AFoS0HH3w6AJCxOvW0W0dbqp0ncMawzvvfMByuUVkSN47JvVFYVGgrGqKeoquzilKSwoeipIjeA+7wbTzHjMLRqAmXYvSnqTWITHrIRVqiuyc7XwYS3zSeA0Kk4x9hgmc50VmQqNCi8UUg4Nuw2sP7vGNj97l5ZOPuXnnGOePx7A61KEZ7uT/jr7Y7h8dxiVJoUk0YEApSAQyY0Y1gIpIT1L56JGqRCluLJxlQQkM6vANMQOs2VVrjV8oeQ1mwDRqjUj6qsM8zCArVbkjSRqgC7EPY+iyA2NE9l+3E1NRd57bmVZ7AyYjHL6L5LNUJo5NNgJWAvhh+GYZ+2QoOJ4Fw1hmD68874f+hO7rALIHBPQjIIurYOtHP0b9Hn+C0W1N8+6fB2hd06QrwO6TCv9LOj71wCcvKZFsjClGRwslTkwJACZRxCAYD5M8pLySqPoJqi6IXmLJiBkgeWtpeqchujYFqYmNkpoIAnx8v4mgIhxJhSYxeoiCxJhApEUn0XYgBi8jAilNBCcssOzhFfudvNoQzdKdHRVT3JnY0c4v7K19aJ8R1AZCOgUORaiAFs07sDAmht4Izhqci4EaBUwV4sSoxhAyoqgfEo92CfWMPLraJho5a7gvRpiVAl2wgejiYHs3uEBvvVJEe4ZSoFFh4z01ZKnc/hJToN1u8S6qPwmB9Z575VkHN9Y99cIynxa8eHcVgJzzNNZw442KYmrZnLfceq1melTy7J0NdSFUNwq0V7bbnuPPHnHxwSlu7XAq1Mc1/bKjKKO6r+3YrguKG5bti8fc+qO/yPrxkvWjJ7z78BnvXCrvrjou/QB0bFT5JLXWeOInXmWMYAvDfFZzsJhjioLWtaybnl6V2dRQV5a2HzzCVKHvHW20+fHeow4uz9d5xCTO00Cjw0QKQTEt1pZ0bYeqx3V9npOZGWf2FObAjqQgng3gJQHqpLIN77TJli7awZmsxopqLZLUITIwkj1cclkfoNDwNzHOBFISGwtnZWk5OTng4btvc3Ryg7IwrDcNvFwx//iCGzfnBC94T/Bbc/m7pOmdvtJY/Z5eluVeOgJmkXun4UvfdmjfsFEYvn2S4oTxTl6bV0zdMgiJz8lI+qPDtTHjkxEISmB0uLHLIJOaSUYvGebC0M4xmNEM9MYgRq6A1FRnwqa7kp9RuREgGvofv3LGITswjTxnkuRcdwHaDsDdAWI6qp0BvKRx3sXFe9KmUcd09+++ZOj64xXg57pBubZQKntN4QiAJPPMH+H4/cMxP/bxqQc+Js60IfoxeB92jMF+xoXs4BoMi52PMXIk2RVEkCCCTwkf1UdDZYlSnzjRk4om2u0E1f2we5O4Gzc27UqTnj/a88Q6fVIBCYja4BEl4EfRnRNGg8D8UPDWhKjRcXKqxiCGUa0nxiDRuw2vOK9ZXaBo9IgSRAJnTUDJi9CK0BSGSSw/MSHz+kJgrYOnCD7Y37QaDY/LkENLUXpHkFCZoNZKa6gT6E0wUiWqqTxQEerzAh0BHBkPXa/YuKhKE8bQmhDNudMQn8aqMiGApRnCDUMMqgjbEZFLpMI7Tz2p6Okj+IG5wA0hx6k5OKo5f7bl+DBkAj+4M6NbNehpy+pJQ7PyTN+o8b1ivTI7qVktW3A99cSwPt3QbZWuFxojGKfYSYk3Btd7+skcjuZ08ylmeoPt2SNevP3r/O7vvs9vP9qyEmHVe3KKCUkgWtDeB/C3t5M01jCZlCwWE24czzmYzmiajrZTmi6ourwX6lqYTosYoycaMXrFa7CFU4XZZM7BbIHwfODKfjB3lAhqqrpCjKFtW3zfo2WcV5o8/gLMTnG1wrNRTUeag2bkui7ZWD4xmWB4H4BP2FvISIIQGWFc70Yk3981xA3rLsWuGvvmXGE6WVql3H1wwu/91tscHh9zfPsOz1+cUc5OePeDC9794JSygLoquHFjxs0bs7Bx0H1RY4RUCbXkUYi0gl0+uPNk6oPuShZCGI0EnEbG0BAly+PKNNO5DO7S+GVR7NCADFQzCBoQWAI3O30YXdLRmOYvJOOvMPx3YK7xuREATB1I9k7JRGV4zz6HH+6M25WI1QA408Y12pVlY5wkdR+/QYYepf/sfYedXkuSuu9BtpH9UKji/wpKGPfzE27/qIeOZp5cd2vUf71a5pMAj/6wAr9Px6ce+IgMxq7B+yPsjo0ROpeixUoMGqakODwqJqRQiMRDR+cSF6TH43NuL/AYjAGvwepE0ZD1Pap3BJuTjYoJ+mBjoi1RXFBeA6IxEo2gY14lSUbPkWgk8aMF0GBD5MVHlUIyNtYc/TnYMg0gTI0OBDS5xI8IU47TA3gReiO0YvDWUBlhboVbVrntlTMVtgSAoEDvPZse+lKwtVAq9F3wOOoajXq3UHdKraEAJtzqfbjmfBaY5aNTpfEwMWQ1YBAABRBXquIiQK1jALt1r1QCf7IyVL3yrV7ZQkxTMaq77QJYBA4Ffq4QXjcwUZgpbJ5umIpA55nVhv6sCfFozh00nkkJrlO0V+ppyeb5ltmdCa0B13v8sqUwhsb3LBYlrnW0W0fxuc/D/deZH865+NZvUc0PWD3/kIe/8g2++XTNN59sWXvNbv0igrWGsjCUNiRJ7Xu3IzlIoLwoLCfHc+7dPmZe1/R9z3K95XK9peuD+7Uj2BhNC4NTYa1d3hwQ52ZIDVHw8sUFxhiKssyRhQMzgmw4FmYYZRHtlrwLdhE+2Z34yLAkAyHRsV3NCHVokvxInp8CGKMgniDFsaRIzjvpKJLNz4gwJ7lOWhODFCMSiTFp3hcxAKqO11+/zXbT8fjROV/+yp/gfPNtzk7POLxxC1tWoNC7no8fr2ibnnt35yhuZ1MdqtedrfwQDX0Ee3SQMSRj76wqSHRgd8QioBnWmA6V5HIJjAwgJaqgZKTeGoEhHV2XNF6MNjzXMck4L7Kn6Oh5zXXsS3Ey6iF9gqHioWWyVx+ZNpOmzaiesXIxgY7Y5wjWd0BRBj1RzTUah6HSBMp27a2u+x5DewbQNMY5O0+MPv3OIexKfV5V7kc99jHiqwpd5wGSXp1AUJ6qr1aGDd/jJw964P8GwMcBdSRw2eBXYvLLaM+TvLu8HyZ4yuuFhEzPkWYHCZLYiITIO1nDoAtO+vgQPyQ9F2MISXivj/eBoAbTYOuiElQsaZcaov8NBFLjDiJJmLL2CqUyKZAhRA5JUg9ITvooMUkpka6FPoYnEvWImeFNcOm3MQyut5bWBm+3QoLE54YRag8NQTIjBAnM0inLXmkEahsAThcBpPfBAJwYZDDteLwEJFeI5omZ1meRmuZjuot4P4GijhAE0So5j5fVUHZmhQKlVOWrJXymMHyn9bzjgxRJIevUrcJrAn/6uOQenmnvMR7KeM8YmExtYG6rFkVwRZDGmamlOCjYbBVTW0zXcfbuiqIM1hDtxmOsoQb8qmN6/4DzjeXmL/xZzruezeMPKQ+mPPn+2/xg3fH9tePxVunSuJgEdoRJYakLS9t7TpstPgVKit/RGIOxwmRacfvmMUeLOcYr6/WW5aZhs+3CBkAkznVDVZd4DF6Frg15wkwO+QCXl5dcXq5AggdgRiJJZ0NQ23ZdB+pwXYt3fRhXa+i9C/NKDKgOqlhNUzPN7QhQ4ngnsJOkpKk9Q0BDMtgRGeXiipKj9OwYOKVxknzles6yy1/Cb1sIn//S61wut7zz9vd5/TOf5du/+ztcnj7n5r37YEpa5zHVlIvLNSfHnoCHknQs/FPVHKxwkHztlUvgSwyCC+MWCw4b89jKtHmJRGGcpDT8Z/h9hW+OBmbYxMfxGQ9afl863QOWO5Kc8buHcmOeO4Iu8d5gcLz/2vTELtTYa5aOS476ouO6hlHO/RsZ3ScElaZDHt6dt+4C5B3Pr1G/MujcG/FUNEWIvlJkjJz2APNeN15x/AjIaPyuTywkn1h2vD5GM27vvl7fnFf17V/y8akHPsQ4PQ6NRsqJwUu2kI3ClCBKjwFBvHcglpReIoiRg+WHF8cgSpIYHsPERI/k3WOS6ufw+iYFopfswGuTVMUElUNKdprsILzRgbHEtqkHjTkeNDIuhShOH0hWhuI+cBDvfQBpMjKEFgAz5AbLnmtheIwJKj6PoTNCI4apDe2eG+W2gTsmpIhoSCQ9GAa/7GEpUEUAYmUAZaLBdqeP6o9kwOoUShMDGUoMzqYBDEoEXNaGSMpIUG9pDBFQEKR4idCuo4rNSvhGi6ml7jw3OuXACncEVgSgttVgCL0w8JVKeLNQJpUJQ+jAN57ZUYktoNsE3ZephPqwDEksZ5a+rmk3fbChOWvpVx65c4fu6XMK7zG90nee7mBOcTyhvXmHo8/+NC8+/oDJvfs8f/aED99/xNsXLR+3ng2gEeRMqgB0ppVlYovQ197zcLWi6f2Ibgf1lrEGWxhOjhfcPDmkFMNqtWK5bVhvm5CFnghE+6DSsqUwsyUKrNcdYi2FLXJiT9f3dF1IfFpPJrRth0RXyMRAirLAq9C2HUVlsQa8c/jeQZTKDGlkTBYSpfxIooCNkoKYViZxraDaC8qvXYPn9G9g60k9nVUzWcU1SLLMSKKjo3s5BMAVZpUYmWJF+amf+Qxf+7Vvcu/1t5gfHXH5/Cm2LJkf3QQJAN+pZdv0lJUMi0MZ2f3EN414RbL/H1zqBziYQVN6UiTb6YV8eMn2arT/HoHT8YY7r3RJQGMP0Awdj+O8ey99c8ljMwDU1DMZKsi/RtVGI+yha0mafh3gGbct9mZ0PZ7ntg0AZQxeyKXHci29AjokhQoZXR+3aQfCjFRje727rvVDveyCq3Eww2EERy3ef8WV14x//BhQ4ocCoPHAySeUS6X3Nww/TiN+f45PP/BRxWnIiVWICeop4kKOxMBHIizRaBkSgbVBMqPDzidIbQKQgIEEeTxqAwOWZKxposG0juZLJMhqiGqvEUGyQU0mxpBFIzIkE0WGCNCJpo8NqRPuGTaACjE2kEaPJ5XoWr+zpYn1DQmUMiNJ0Z17DM5a+tLS2mBsPTGGe9ZzobBSomt7eHcnylqFzkGjihSCtSCOmPIjgKAgOAgxb/oY72dDkKCVBpKRcRP8dYO9k4aYNN4HO6LGReNgEgECFaUwQuuiwTYgraNWqER5s4DXkqt3GT5O04F4mIhSbnsEQzk1SCX4Umh7h18GX/9iapDasF47sEq9MGhRsf1ow+SWpe88PUL51lu4zRZ9eYEitHXFjf/XX6NzazbPn7N+8Zzm9AXf+61/xsNtwzvLnksP3lqmZQA8s7pgWhVMyoJCDW3nWG06nl2uudx0OaZOilBsrY2u6zV3bhwyryvapmXTdKy2DX3nBsBPCFDoeocRpa4MKiVOFcRSxzxdimKNCXNRHbPFgubFKaDxnQVVFchJWdc4T4xj5RAXjNZSFPGkbMqSSXwE+ol9hqkZIkbICBTIMF+VnFg4sbFshGsy/IlPjaI8p3pGVeZpk+c+uxvU6ziOKLOZ5TOfvc0HP/g29++9wer0Oauzl9STObasmE4q3LYL9oPRDjBm4GJwa9ada9cZ3g+v10F1pFHCqgMAGBhqGscIrhIYythpMFLNeCQNrQzqqzFoyVLsvbEb4xlhDJgGEDLcjd9zBFgGoDTQyEFdFK9zzTcatUPz792vq3slMwAaH5pGS3dI4gDErn6PfH/8rhH42O1D+G8GA/mBPUQ1fteVl44A1I8EfnJvrzy/c3n/2MNt1xfV3QHYf+01Vf0+Y5of6fjUA58QrdjHBemzMWFeVDHal4/+PiktYQASSZyfdlUSCXHcqUYbkiHHMkCytTGIBtG/hyBFEoI7uwkJGQdDzhDLJEg1QsLP7GZKysuVpDpx8UroV7I5Cq7pQ16vYEOcAsaRd8g+XhAN0gyN6r1ge5kqD2qjBCSUGElZLM5YttaEBJfOszDCZyxsNAQaPPMaE6GSjcNJQ2cFSygXPwOlQJE95sjZ3y1RveVD2ycWOkdUE8KlC0bclQkqws6H2ECI0qlgDhfYZstce6yGcXNOqYuBOSohuKIpQEqhN4QUGgJlbShmhrYJQLmaWbQHUxnKeYUvCtoXK1RhfjBh83QL7iVslXW3oTiZYKew/d53aYv/P3l/FmvNktz3ob/IzKo17P3tbzpTn57ZHMTbllo2CROELwn6qiGKMmTAsmHIImiDJEQYMG0DNgxCEGyYT4IEQTItA+aT3qgHP1wJgi4gu3FJXxL3UjQH0SQhkk2KzWYPZ/7GPaxVVZlxHyIyq9ba+/vOObTIbh/XOftba9WQlZWVmfHPiH9ErLn93f8q06MHdP2K3Ru/zyCJq6tzvvyVL/KVh0/40lAYVz3x7ob7EugQVjHSxUDAQN7F5cj51ciTyz1X+4mxRr/GAE+IkZiMR7ZeJ15+6Tb37twiiXA5Duz2pu2ZFhoiVMkes0fHib4PZJTNaUeehL7v6LpEjAkttoCIKbHennKrCE8evNUE6+nJiYnvEFn3G3a7AQH6Vceq6xmmKx8hS2K5caqsqx1pCagAZ+blmLbHP1matrTtm01dleu0mJelyvkj8HMg1KWRmWcQsTCxVCcG4BOf+BAP3/k8929vufjoJ/nKF7/A5dOHnNy5b206DaSwxTy8HIjU+6qbuw6e+GYpUYFK0QXIreRboGYMz1VDJDStRdOyNewhB6v8BhBkea/FF6mreB87i3ZaAqT5dFmYfY7MXfjc2n5d30IFX7RHOaw712R0O/nQzHJ4lyMl1kEhzXx1rd2WZS2Ku/E11dl6/qkHVVjuWHqVXQdB18vVZ9/32r7nICO5vuvGKxe3W7b/4Zly+PP9bs95pD/q7QMPfGreH62dOIABnWz0mcWktnzB6kEKVY2KWUnJeDlC8aizNt3mBhqKZz4vJih84sZDx9fpL9W8GS1Du9+3jj9DQwStwcl8sDQ3dANpGoyTUROtChaTxrxtQKp+xSeoiAOmku0an0CXduY6kUWvUNWIGcfHAtmNaaKbCh3KHeAbga3A72fhnQJblJVaktXOTVQWJJGau9USw8ZADFbvrB74UM1LywCgTfbJWtaTyUp7D2aeszonUfOYQ9nev8vwzjsw5sYn2nTGGykTNI+NKIQUGPfFclStre1LgfGisL7TwVrYXWS6zYrhcuLinT3KHimGyp6+eVURG2W7Rr7xm7k6XbNKAX3jTbbf+K3kF15kv98zPH3E4z/4fR5eXfHVMvKVqXAlgXjSced0w6rrjEtUhN0+8+R8x5PLPZf7if1UWh6ueZULIUZS1xFSR5BC1wmvvHSHD92/y63VykxU+5Grqz3DfmKasmtbrPeWbDF7hquBfiXEIPRdYgyRlAJdSsQQmUpCJHByekK33jI8eISEyKpfkbrA04sL1pstd+7c4eJqaACz6xNjHl3raACnyoAZ6BwCgGq2alw3aDF9Djg9i+/UyMwLQDRrg+Z7HWoHlkJBfEGrzZNHK4+unuWC0ZY6SozwiU99iC/+7u/wr/zp7+Cdt95k3F2h054igShKqgjevSRqkMljP69an+Kr6qoBWwoG9RmrcQQ9LpkfpJmZHAiZ59zMJ6zzyMxZdc2uLAFKPVbLO/yOLOHFAvw0UFIBznyPY8Epz9h/Tf4vBfQNoOMY5syqoRmycv2y+VmPwE8t4xgXVPPhcblL7dRsXtSDebyaTpePsXy24751qC06xEU3ApaD47pUK/HM7T2gjVqsTxXXtWXPgJ/vf/vjhz4feOBTHLjYQshXcUHc00rnrOxaJ9B6StXyKDEuepYWAxY44VmkAQs7bkIZdzOGmahn0VKja6FMdBWtHBUa0RGxYuo8VusSELI2Qx1FAkUtuB9aoxfbxFlCjZa8UKH78iXWEIehan2A4K7vUrVPhhJbRNxSQBTtEuMqMewjach0RdkEeFGEjcAdUd7yGf2FCMmCUnssGdAiqLtdh2igSid37S94slggm8apEzHTnJgWyiI21wSlpv1JomwcJOpUOBGQL36ZjRgPp8amiQGmSUkJNDufqBdYQ3eamLJy+SQb/yibsLh8PCFXxoMZn16RukAoHtspBbq7a8rVxHA+kYHuU58gfvu/wZ1XPszjL3ye/tZdHr/+FZ5+/rd5+PAhT8c9Xx0GnkhgFwPdpmMjgT5FVpLoiQzDxJuPL3nz0RW7YTSwAweTXzXdhJgc9CS0TEhQ7t854yMv3eP2ZkuUyDAN7IeJ/TAxDlOLeeQdFi0wjpmr3Ui/F6Q3vacEc++NYtHFT8/uEFOiFLj3wku889Y76CqzOdlydXVJtz7h3gsv8NZbb5P6DdMwMA17VqstzlxrwgPvj0GkRcL14VShinPnxD1/ZRa4VYvj2lfaPmnnNbBUNUK4Z9rCR9DKmgVFXV8sE3wuzlzwMOpSycbdvbunPLp7zvnTR3zkEx/ni5//LXTcoTGy3kRiXBq36sMb8qvTUrtBW0lfFwbLhYlR/47O9boHqTG7qru83eu64PL3v0CFC5izADiH5sZ5llxo0w4A0uLM5T3r/FoXdovWXWoWDgXt9ba4RjNpuFUWknrxThc1Py5LFvd7lvi15qtLDb3hvEPeTqv/wdnzvWfQc8OzsTh9Wdi7bXLtC8dPfw0x3lDscvdxT2xKw/8jGOd52x8j/vnAA58UzAtpygZYzLOrzNGXg3lbVfORzx7+6dFpCwYdIggeoFCN4Gud2EZPERbcH3Hyc4EQLQt6nbwdHBXUzzfTlyjGx6mqaYzDUtMyGLUoOM+lLvZC02jEuhbxHloBn8octbW5b7bJUVpkZlQbyJIQnYRqARuNd5TQVQ+aKcNEGTIU0xatgBiVjQgv+JA5TWbK0mD1HycTSJnZdb5gAARdCkJtsXMkQMLd9XHXa7WOW5+7Ds7VNhCywujPmcQSRRYh9pZpPvrMmtWCHk67ApNA8DhGk9Zo/6RNQKMQ1oGr88mIukO2d5QCuyKU7Snp3pY4CefvPOZBTtx9+DZv/s5vsXv0Do8ev8PbDx5xFeCdKfPOUCghQIysY0cKkYiQNDDtM0+e7Hnz4QVPrkbPo8a1Fa8gFiSwS6RuhaLkaSBF5fbJmhfv3GK7WhFTcqpYoeRMzhZMr/gCoPZ5xQDhsM/sLgd6SZSoECNVExpD4IX7L7DdbhjHwLDfkfPEanvKVJQQe2IfeO2NN9AxI8E4P0ETqUaTbJJbq1Mktbuqz6iz9qYarpgBjXeI2YxV/1zfI/WqKnSXgWhqmSyEsbZ9R5KGGdostMFwdI5fpoVXP/oCv/3Pf4dPfvOf5PUvfYFpv2N1ska0EJOFeKhRtSthWWCWJhXICIhoxUULQWiroZoOZwG9mDUnftzBThvfC3uLtDv7tUs74BJZ1SZbPnkFLvMp7Z8mx+tcqst2XnyXmZi+RDANJCyE6+Gzt8r7R312Zm0VC/f6o1fE8TVHrbHcDixPMoPd4/QhB2Utr2n3Y1GvJfw6AsHHXe9aXQ4fyHHszdu1/c9AOO+y1auOr1RYuK/Tusv1M98FHbUy/hjRzmL7wAMfAqgWJLpRS0wQiFS9hwlm5wEj7lGSKZ67y4RujbpcRC0xpuCkxEAGIzK7OrQJaPyGgqs8HWBUTVCdgsSmrLb6WKJ3nePc2N2kBTM0i1ohelwcdU0ICOKxcEx0BGY1bCH7TQUchNQVdPA28KzsGEirsXQiIDGSUcbtyLjPxLFAzkQsLUUUZR2MyNxFu1ZQcsaSjWpB3WMtBAiuLJMKHH1ic8sRwV2up2LCYNsJcXKORbCs7uaRZsBnuszo6MK6s5hA06DkCfrTyJQLmpUQIWcDj4zOtXDNVI6GRzXBOGSLknh2wmUOTPSsz26xun+XW/c+xOXlFfv9BY++8hq79Qkq8Pn/9We43O8Ja+FJzjwqFk3pKgu7YtGsYykIE2SlT4lJM08vdjw8v2KoHJwjwVEn6xAjKfVIjKgWNI+ghe1Jz4u3NmxjoGSLthzEwheUnKHUpLwzsK5AuHKghiEjvXmGpQgxVT5G4eri3BPGCpeXF4zDQEy9gZxOWK0TH/nwK7z52husNhvefvN1zm6tuHvnjFz2y6mbaiQ+EMpSRddsdqlNULWZlVtT4U09yTwnwyJYIQ00mebVz6+LG6ohiSaVrwuTKhgrMlkKhFkLJ0DfB27fW/Hr/+wXmYa9gbAJbr94F5GajOVQPNzkTVTNmE1TUzUpujjJdjDrXnwm0cNyxQr0sawHgqyRmKGZxY5d0Q/Ay4EZy9+RHO4/AJW13rO966hd59dhAG8GYnO7zq1VQdU8Co7qWo8sx8xyny6vmWHPsj3bjZcX6Xz+cxHKQe3m7SY4oMcV0xkO2WPO4/O5hT+rEtdu/AwQcsO5en3XtU2PfjRMKss7HbfZTQV8bUAP/F8A+BhoEJvcfSkSxLyqwNXoeMTOAEVKWymJVk6NaSkqGDCzlDqvx+6jLL1W6iCzctWXOMG1OfPcoDaBqaAhMNV5UGnB1dq60z296iRRzwtRnD7gAEC1Oo4tOEz2rPXf4kvsKhgECBpsX7BkluYx43qV6qaPGI/EOURlVMqUKVeF6NqJ6iKctDqwWdsXUbQUotgKjVxjBFm9qjkniAGSUtshmMt7DHAShe0mMA2l8YVCEjRC3inTRXbgZu9j2JkXGMUA7O7xVONB4o5GhCSMk4G/UaHrLejQECNTSMQ7p4Q7d9iHSLx7j6LKo4sL9vvCG7/0yzw9v+RymrjYDTwphcvwGnsg9pEVgS4EBgLTBMNkUaeLczw6MXE0lcyTix1PrvYtk/3BpLQwI1h8HkNmqgWKJcVcrxP3T9ecpIhMEzpltDNtI4rlh1sAgiXHw8yqFl4gF3svXRRSJ6z7QIxGmr3aD5zcusXTJ5dM4+B9sKBTZnu65tbZCdv1iu3phvPLKzbbNUUnUgxu3pyFlin05okvNEDDYvzQNDtV+1AjjVctUAukJw7QXfpKDSHRyjouvbbpEo75ngxRO9EAAQAASURBVIWZq47AmTaxHE+zmBBVXn7lDm+//g5X446sSneWOLuzJesh8KmvWPHFUOP/UJVBfqtZ8yM+XxyP5ragUTdZ+ZNVEvSympWwO8PLRcycBT5ZxqOpO5faG9OQz31yBj0LOFKBV/1cFHZY/Cwt27zo/b/pYpbzWN2l8/W1ZZcmuGt4ptV9LmTW5B3/XlZPGvi5GXvI9Zu0MpcE5rpHj47fYDxbnPKsVBVyw+k3nvBu2OJfEvZYYsaGUbmhTW8AWV+LLbz7KYfbz/7sz/IX/sJf4NVXX0VE+If/8B+2Y+M48mM/9mP8yT/5Jzk5OeHVV1/lP/wP/0O++tWvHpTx4MEDvv/7v5+zszPu3LnDD//wD3N+fn5wzq/92q/xXd/1XazXaz760Y/yN//m3/zDPaGE5kmlJjmM4+PqZIsVY5OGeCoJ+wuUYGksENyN11ckIpQohM4iDwoKUsjFTGgqNnnWWBw1kWP1IieYuc0mGF+pKuDxo8Gmh1xaN6KG828u24AGYVIWYEpbUMZ6vxKY+UIEgkSCxIOJJQgNgIRoLssxRpK7RXepI6VESBFNEVmtiGen6O0t+XRN7hOTeF184i4Fd+F1t3UFxcx0WZUBGIr9jcXMcsXRTgQ6YN1Zbi9PXk9CKWNpsXw0G0ereMDCECH0AtHMWk31BqR1bCNtdacjbiOyiXCauBLhvEvwb/zf2X3iU/DJb2R45WPsX3qVL47wWw8u+Ge//xr/7//tf+f/9XO/yD/6336D/+cv/Br/65fe5P/74Am/+PiS3xgmvqRwEQPdtudkvWIVOyBSijCMyjBpi58TxAjcReHhk0seX+7J+WiW07k7gvW9lBIxmMGwlIlSMikJ9056zvpkWsacKeNopq12P9NSxjgDh2MQMYcYMD5XlwJdsjxfiHDn1h1evn+fkicuLy5AC6KFVW91ujy/5K13HnJyema8OC3cvXuHrksuvD20Q9VqMPeXBkek8nHmvwpTjKEjrU2qx5ZpeQys40lK2yhqvJ4K+pamtKNfTZjPkliBpfntACopsAAjfRK+9dMf58Mfv8/ZvQ0f/sQrEOfntDMd8uly36yPWWpiYAaE8z6lRmefJcwSKi6esR6yzkMDBDVy8dG96jO3z4Nrade3dqpAq+6TOsfV+8+fyPze5t/1nLn2rQ/IQqcnR3W4XqWFtuoadDkQxLUN59lPZsCJNLPW85QSDZfI4QkLGHxYkzqNHzzHonLHVb7+CIud8pxznlHR521H95fru9731vq7j21tO9vH1xT0wB9C43NxccFnPvMZfuiHfoi/+Bf/4sGxy8tLfuVXfoX/+r/+r/nMZz7Dw4cP+c//8/+cf/vf/rf5pV/6pXbe93//9/Paa6/xuc99jnEc+cEf/EF+5Ed+hL//9/8+AE+ePOHP/tk/y2c/+1l+8id/kl//9V/nh37oh7hz5w4/8iM/8v4qXCoIMIGqPtiOI3oq2nJimS3dYm+EIyCBaFtNaVkObl0EHvNuEzzjBKHdt96w8nUKFdVX11T7zB6eta76hOryPa9AS6ku7KY5EY9nY/YAMf6NgzBTcJU2yOeAbzS32BSCA8BEdE8edQ5RxBoniRA0u685jPuC7DNlLIRSiHg7+yxYTVKiwKSNdJrRFnhNMCCQYjDAgtJ1Vu8oRkp2hZyVl+b3FlbBMqDvFJ2UPBgQau9XgF6Ip4F9LgwjlEEpIfJ0gpFIvrWmnG65Ggd+/+0nnO92PDi/4tE0sS+FiwIXRRlVHWjOAhGhaclWfeL2yYpbq44O0+5cTpkpK2PW9k6DCClEshYurgYu93MsnnmbBUpdkaeY7N1r9cozQHhr03F707PyjlqKMo0jcRgIPS1UQAwypw9ofUAI0Ux/NWr4VApDznQ6kaWQkgGIXDLjNBJj5EOvvsr+asdq3bPfDaQIZ2enXO32pNi5p2Dh9p1bjNNofDRvOMcL/pgV3Pj7ZBZ6yxxcVXsY/BmihHa+mbkMULX9Te7XjsDc2erawV4iNGFXJZT6lTMsmf9dbteX410f+YZv+gh5Mv/NUrKn45iFa5uY0HbvVqLO75x6v0qslbntKrBr3+ox5ijQTdDIPCXM3csBW+3Di3ZqMG/RNvXUpeCtj7MELXMxizJqex4L/Xpl3d9WhtruMZtDafPm7DXmgLFNq0egZdnc137W+xyPOz36WB63a+ojLYnji6Pt4uulL97XDXeea3B0lSzvdb04Obh2/n2dO/2cu95w6LjcP/R2fZh8zbf3DXy+7/u+j+/7vu+78djt27f53Oc+d7Dvf/gf/gf+9X/9X+cP/uAP+NjHPsZv/uZv8k/+yT/hF3/xF/n2b/92AP7u3/27/Pk//+f5W3/rb/Hqq6/yUz/1UwzDwN/7e3+Pvu/59Kc/za/+6q/yt//2337fwCd0AYlOCdTKkREspo96WgqfFcQ4EyTbFSXMGhiPMVLTMtQYDxm1SLNtYjEwEir7GMjBuD1BLKGoajUJVU6Q+mQdUM3IYrKphL+iGSNbS/NUa5MP1VXfzR81+nLAVjBKq4tiXJZCdbN0bVft5kEoTvhGLDBdqvFVtE48EQ0B2QbC3UIeBsI4US5Hj3jtq/FgARcLDiAD3i5W5xC0KtdMq6Pa2jutzYQX1ABmFR6xA41QRpB1oAQl9hGJSj7PyCZYxvIU2D+d2A9mDtxdFq4k8TQI0xjYp8hTlAdXhcfTFQ8eXPD499/iQpVdUUbMtX4esBW4NllBTUkSY2C9StzZrjhbd6xipEyFqWRGNx9lNcBiACYiwNXVxNV+ugH0ePkt0jh0KTnhvKBqmpwQhJN1x72TFScpmdD32TZPmTJNlCBonkz7k0ubKEWqp50QozjHvjTt3DhO7Icdqe9Y9R0SI0WU0CVEhMePHpGnzNXVjpPthuDue13fE1Jgu1nRn625ffuUR4/eaKplRZxbV3kpc5sGxTwL628XwXP8nhqI0L0Sq4h2cB3mF0MFmDK3ZntvDXVJNY7oIXJon7Moq6OHg8/F94XgUKzjaml6nCYQj6kbCq75scjwUhdWDuSABhgaD7p6ogkLcFbLYQYITVCqu7ZLO2dpNptrUoHI3AtnwvJssjjmA1WwI/PPo32ywE8VOMls0nLQoosbHDiH13OXdVt4WdXylq9jWbmbRtei9GtHbypoOQ+00B8HJd5469k9fYGCnnfXZb+7fu9FP73hxsoNZS93HBx8bi0Otj8W0PLHjIz+yDk+jx8/RkS4c+cOAD//8z/PnTt3GugB+OxnP0sIgV/4hV/g3/l3/h1+/ud/nu/+7u+m7/t2zvd+7/fyN/7G3+Dhw4fcvXv32n32+z37/b79fvLkCWCpINTBhkgCrXF2oC2lK/G5rhpCG1ctkmojFaM28fpqJAX3SnLQU8uJvmrLQlNVSJzjCRUR16TgCUZxrw+hxX6QxuZBxNNKaGb2QqMNKA12bnCgE1SdtO0n+GQpHjcoaI0DMq+UCEIXEyKRFLsWqTel5B0zG9lYK88kwmmmXJ4iowljGTxuSKhebtJm5BjnlbwJMuNGVFBEKSRvdCnqmh5hFHuW4EJZolACSArEdbCIzyLkkzWcvcDbv/8aZZwoIjyd4DLDY4RHWXmcMw+LRZU+VzVNDotEqVTBMAvgg0nCAUP9jCGwXkfubHvubNasUyRPhVEN9I2leFoOKyxE014M48TVMFmak+Xm/aoJBDHNoEgwUFkhgwjrPvHy7S131yuPrmzvO2ihlEzOEzkHN3lZ/WuW8KrxS52QooVkUNcmlqJM08Q0DORpT8kDxI7UJUJM7Pcjq3Ei54mzW3e4vLzk1u1TplzIBd566y3u3z1lvQqsVsmIuc5raopPf89Vm2lAz8ZHBTrNxCT4mKv7oGZnb8/CQqPQBscxWJ0BfhWZWiV0bfyDNfMMLGYRu+glTUj5GNRlD5rnA45kVV2ENd8ekdYPbpJpBpxKu9XBwqhq+eq1ogfVajjBXv7cHnWSa01m7bUENRUQtsXVAuu0OrZzZ1PiAXpqH7LAJlUb5Cd4v5ODpp+BaNCKBfTg7ejyBvV7G6ra3lnbtbiwPeENGPamTWhvc1HiewEPeljFJQZ679jjsK8dXyeHt7kR/Nz84/o9FvX8IG9/pMBnt9vxYz/2Y/wH/8F/wNnZGQCvv/46L7300mElUuLevXu8/vrr7ZxPfvKTB+e8/PLL7dhNwOev//W/zo//+I9f2y8uNKoqvAWiCu4qi7uVezRRSxwopj1ZTIrlYNSI76sTOm2wF5+gbAIIbbUSgrhnhpKp3y0AXnBvquyTwFQK4qTi3AQBs3tqHdSFhRbL6lDlqCIei8YnfY/5U0ohhEglNjpes18hEqLlJyNEJEZiCsQU3RMrIqU418IItrIphDtn6DAQygQXA3kwNX8MQhYDKxmzjm2S4SV7HkGc5FwfIHWCjgWdDDQqinRCWtmDlKLkGIgnPbtdoVyZl9bVLrPvI6ff+FF+7/cf8mR/wdtZeVCUR0U5V7hSFiDnUIzBPImHKmjr1OpgFew9hmhakhgD666Cnp5115Gzkosy5GKRlbWaRg3ghWBk1mGcjO9zWAEHALSVXQjB3dLVQYuVFWPk9smKs1VPF2JbVc5TszLlTMiZKVtyywMei5gmTByY14ndgI8YGXvIjPuBsTfz1eOnD8lFOTm7w62zOzx++IicM9uTE8YxAwNdZ+7rr7/2Bp/+9KcYhtEEdxViHu6BheCHSsz1dyCLeracWxWsVdOWja+5f8/H4FDbU/+7uryk79d0qWMWvywWF+JteExkFarORxbnNxGjS6FYtxkulcUem2O8JIUKWeo8pLUf+FxVGjgRDqR0vdw1P6GW1MxCYqbuxbzVgEd9xvpbZoBAXbm12eEQWCwBDG28LERuA1YVfy61bhWkHkLLw8+5WVuFpFZp0d7isEava3SuiXa/voE/GjZavOf5x/HccB3wHBY67z3sHc9DN8/HPIdH5jn6xsM3FnRU0/m0gxu/N6TzfvDZ/1m2PzLgM44j//6//++jqvyP/+P/+Ed1m7b91b/6V/kv/ov/ov1+8uQJH/3oR+cw/oqbGtyTAhvG0aecyV3NQzAeRU1bpU2lDHXVU3Renbh3LzX0fAyRSd28g2l+igsy9cnIiNZurkIopcaBNVATRJxg6nRnBY9a45sHPrRYhvMEWByEVY1VaA+B+uo4Lia/arabAy2aGSGkSNVQhZSQEEhVOxQ8bhCCRGfznG6Q3RYpE8GJxloKUzCz3xiEvXuFd53SdUBRpsHI4FFpqQmKRWqkiGtUVoF4lgjrSJmU/HTicqfsH4zsR7gclaeT8ijDY/Y8/blf5Ku7iQfZuDmjciB4DiaBG7ZZiHJwtrhWKqVA3ydWKbBdJbZd4mzVseo6tBjYGLIylMLewU+pHBuxlB37cWLMh6Cn8oVM+xWMlxMwzRrimj4D2iEId2+tuX9rQx892KAE43I1e46ipZCnycxexcIz2HPUe3kfCdYhLESD95cJhrFwtR+J6QpCYr2ayKUQu567d+/y+NEjEJimkS4mbp1s2e0uUQqrdU9KkYvzJ6bBQ/ze0UxAJR+YvBqpGeuDVcDqAuhUV/UKbmq7Lf+bBTYzkKyaI1X2w0DX9cx2o3lMLd/FrCmtgOMQxFgIgKox0IP/WgdzLVfVVBxJ9Hbzmm8r4E4AS+G8FKtStVReH/V5qmId/7cCN1kc816MTQtysL/2+2UZrRtRgeB8wlKg1v1hCXqaZm4GYbJs3+U3YdZgCTMwkYOfM/jBve7aSYcP2VrLx4CoHLTPMYQ5aIYZ6SyAi/9e3KMZF5tt8biAZ+2pb3Rh/rrxghngvaftXSa1ZY9r51+r9/PhzbvNm/+Htq8BqvojAT4V9Hzxi1/kp3/6p5u2B+CVV17hzTffPDh/miYePHjAK6+80s554403Ds6pv+s5x9tqtWK1Wl3bn0NEo2kqROrKONrA1moe8MnCM7HTJhgXSNTVdo0Sa/+oa2AmcD9ay99+kEFazKwFHtcn0HgvLRgizgHxKIOVxJwXUWVzUQNQOk82IvPqpxHs6qpVtIXCrWrtZkd3vgzq0Z2FRkYFiDESQrJklyFaEspgAramxQA1TsYK0Axnp+g0oDkb3srmZk309BwSkaCUUJhQwmABJXOoYQJmQCkpMno7QKCMwjgW9nvlyXnhcq9cqHCOcq7C2wUeq5myLsaRfaYFeTze5qkHjnTrC+0B/s5NOIoYF2a1SqxXiZNVx7aLbFNk3VkQwqKZKRf7K8bvySVb4DoMmIQAOReGMTftY510hNlVvaYI6dcrxmFAy3ggzDbrjvu3Npymjuj1U7FUEzjwrVHiTKtk3KIYhS4FRs9BF5PQ9wGRYjGNcEDsgZHGQbkMIxKukJBI8ohxKGw3PX0vbDeJk9Mz3nrrbVbrjhCh6yLTNPHyKy8wDDvG/d60m2KADmYgUdvWHC09Bo+78FXvxAp4lgAHOXxXs2eaj4n2EgNLENR1a672I0VDIz8vY48ckFWrCafZkKrAW37XBpIqYKjlHArVm4SKpyZ1ULT0dJvLlGvgpfZTX/P487mJnDnJaYNa7frrbtM+VSzq7v0daW1h2CIcyOEKJus7PAaN81MvtUN1T22/+ZymvaHWs4IePQBpurhYjp4RnZ/bAOKBqD966OO2YXYwWVT38LccmicXRV7DPzdtzwRI16+0e88A9lpBz8IoR417va2fdddntNUzbvEvFad8DUAP/BEAnwp6fud3foef+Zmf4f79+wfHv/M7v5NHjx7xy7/8y3zbt30bAD/90z9NKYXv+I7vaOf8tb/21xjHka7rAPjc5z7Ht3zLt9xo5nreZhpxbTwbrTkRvKNnwQBHcbCATcQRcyevJMAQogGUku3lh+JETOOYBAc4Co3MWycGC19nJo7m8eUTXUHdpb6qqy3BqWpVghfXOilaDj1YwAZkJUdXUxCqEE3Qas6ImBt5qHcsamYttWdQB2tQ4wBF+pQcAJlruwWPC669KnZtDbrYdZTNGrYbmMx/PBQjaoeoEJQ+1tV+IU9OslXLdaQTXE3FVo1amCbYq3A1wuVeubzMjCKMwKMSeByUpwXO1f72BdOyuHblYLV2Y59wsNHacR74dQVv/cZMUykZefn2yYrTdce2S6xiok+hCYkyCjkr+zGzHzPDlJmqqz0ezDEIT672LXfSUljGaGZGA0RmXrT6GJg2rZ15vt3Z9pxGi/gcXYJrFf7BQhhICM0jUWIgpUjy5LIWp0lY9YHVys7bDR680NvB6ERK2WWUgRCuuHcWeenFezx4620evf1VPvnJD/PVL3+FPFwwhrUxzikUzdw+u83u4mFNjIYFDA2tvcVd/UwLZDnbQgjNNB3EtV9UAToDINXZPb8K4RaoUCypa2j+g7O4jbFjvdnihLJ2TOcX365okMDZ4s08dbQtAcuhZkcW12nrW6oHIpt6tAo6OOL7yFyvOdGoNDCJ86aW3p9LiLbs3rWvtkeRpnvwE2bNzBKUM+PABehZthWz8oU5zEAr7Qj8HOxqHnXzDVqwxoXZrJn32/S90ELpDIpqeU1AV4B7AE5mpCS0r/6sR/NHu0iXVx6Wc7Qd7Fk0Y4vQyk0nHH9feI8dn3/Tiu64yEVFboQ116pyjK5v3n3jpcfbcko9nF6febs/7u19A5/z83N+93d/t/3+whe+wK/+6q9y7949PvShD/Hv/Xv/Hr/yK7/CP/7H/5icc+Pt3Lt3j77v+dZv/Vb+3J/7c/yVv/JX+Mmf/EnGceRHf/RH+Ut/6S/x6quvAvCX//Jf5sd//Mf54R/+YX7sx36M3/iN3+AnfuIn+Dt/5++8/wdMwSMRQ1bLQBWr2aj+ozReRbW4g03GSvH4Kg6S6qRchZFqzVJhIMSJyqgSg3mFzbSGqtmwicrCzJhbt0pw93OLDm1znDaiMLg6WSuAMmFSfGarZhBwU4Z6tGbn9piJy5b1wZ9BZJHHCtNq5ZzJWpAULV5MCKQYZxOETxYRR2tENCXoV5T1hmm/J1FIOSCSUSZEPYKwKlnEnlUUkYKOShlhPwpXCpeTxQPKRbkELoGnGS4CXAE7FSaxdhsy7LMyTsUAj777nFC3Q1PWPLH7i/Rs54F1n7i16TjbdNxa9az7RAqRJHNsmLGYCWjIhaF+Tl4vLaQYOTtZc355RS5qYQK0+CQuTdNjfcPOX617Lp5eUJPlBgfkt7cdL56sWTuwbT1PhJAiRYon1A2UYGRyiwkgHpQyEINxy7o+0iWL3TRO0vql+DVagEkZhsJuPxAkkLqOz//m5+lWKy4udwxXl4y7C1584TaPHz9h2O/5yEc/xOnJhvPHbxrgD+ImO5o2MwZpyX9j1JYWxeo4Ax7jRc3OBFWpZaM0IBJn0MPS2FX5KBWEGKB48uQB9+7eacl+l0LfOtA8rc8QYp7FVfWGOVtnAbUUNv597pPaSpy1QrUevl8qGNN2SV3U1MIOIJpI60fL8itgWdZ/5vUsQJ2jg2ZaYgHKG/CY+WEH7eW3WcClBnrmRpAjwDO3uyzOEQeJx+PyADnMWG/R8roodbnNvWT5m2u/lt/0hlP1cNe1ex9fszx/UdlF13o23rhJn+Tbs/DRs7b3Mg++l3Leyznvds3XGOTctL1v4PNLv/RL/Jv/5r/ZfldezX/0H/1H/Lf/7X/LP/pH/wiAP/2n//TBdT/zMz/D93zP9wDwUz/1U/zoj/4of+bP/BlCCPy7/+6/y3//3//37dzbt2/zv/wv/wv/yX/yn/Bt3/ZtvPDCC/w3/81/8/5j+GCTOtUtWCLRF3tmRTLNB0WRomRfUdmqxYR8LiYEq23fwI11USOq2jFzUC4ujMRMWlVPruFgLJtWpw4IsXQNHrywZm62pXsFGNKiPysFESWIAZWDyVb8OPgE6T1QzLwmzrVAoJTJVnhqWiTL+6WWjHSaQC0BpglRMfDogDEAMXucEgFCRGMir3r2XSJOIz2BqJb4tGSQUsiTMhUlTxaIcBoK+xHOR+VyVC4U9mJmvwlhJ8IUhSkFxiAeBFHJo7IblWkqTDUSMu1RqU2ynENn4TD/Pt6aaSUKqYtsVpE7m5572xWbVUcXkvPFjO9TOR5ZhbEUxpwNAE2m8ckePHCz6Uhdx/nF46Y9G0fjm8WY3LwjlGkyL7HtitgFYhJyruAI7pz0fOhsyzbFRpSvZh0Rc+MPMTJpcQkiZIppFKOFKUA8bIJhaMujppbeoriascZ9qTm1yqSMY+by6oKPvvwxcim8cPs2b7z2NqjxiB689YDVumN9a8u9e7fZ7S7J4zQDOwmmyQizUI3NzGVASJqJq/5VyDKbuJoGQwJIdBA/5+8yQetgR+b3Cga6LKpmBUOHUVfmeziQmaW8C2Y/v1XiGTO6VoB0xPlp51eTlP93oCk68vLjiLwrS02HjfF2l0V92yKozgkLTUgDQnVMLG5wyMapp85gpo0hXbQreji2aJbWBoyU+V7t0GKw6hLUztPWXIfaKZU60bXzZhPYcgI4MquJNE3STW/tRljUXle9br5eD868CTBdL24ZhfkY/BxgGp3f7zO3dwMk7wGw1OHyrovFG8r6w+Chr6ftfQOf7/me7zkgeh1vzztWt3v37rVghc/a/tSf+lP83M/93Put3o2bOU2ZKUVUwTUxom78EfEYM17/YFJBBY8GS4vJAaaeV51NW4HK4/EJGDXhE4Tk1yPzlBZFyBgwElf/O7+U2p2KlDaRBzUic8Z4NQiuDhebzBcmgBow0MpUWmQcdQ+zYtoqq2eYV7VqK+gyjuS4p0wTrNem8QnBXMvrg3gbBbBs6wglJKbYMYSOMl2x3090xfJDaVFyNq3MlOFqKOz2hfOp8HSC80nZA9k5KOskFrUwGoAMIiQVxAXwOBTG0YR1nevq3Ohv3CfGuS9eD55WJ151MODahRTp+8DpuuPuyZo7655t1zUzTPFnt+jcpQVLrOAhTxYvx0xcysnJhm/+5k/wpS+9ASJGNK6mGScaSwjkbCah9WbN9/yZ7+Knf/r/4yYxi1J9tun40K0tp11qRPDm2bR8/iqgPJ5TUWUqhUxAPTmqFEWloBRLFaL+WWofWkzkDgSmsfD6W1/mYx/+FHfunjHmwuntuzx85wHrzQmXux3vvP02n/lXv5WXXn6Br3z5D0gxmkCLc3whMwGba3r1cqtxnAyzzCCmAj6pi4kFkpkJ0A5+2tGq6akgf4ZOpj3tmEohpRrJu+pX6lQ+S1TxRi0e8wuOeTKzq3e7Vuu3JR9kISoryGkCZyHQWy3qs5ZZE7NE8k1KVm1PaPdXF/hybKITGqex1ri+4hkjygGmoJpkpdZp3oLMZcxhBGprVFXkgpPVqi/MH4ZallqeurthO3+mVv/lCa4ikrbqkdaOS4H+LLbM3ABzG8894fA9H4Cm+qqP8dHiGK2MuZzrAPWGijzz9w3bwUt8f8evH6p9+L1Dmne7/dfz9oHP1aVJfJVpnkmaDQiEGCjuMr2ciUSr5sUGpHm5CC0+Bg6MPP2C+DCfzL/LB3rwuCpK1kLwrPA2zg18mOtpaFFWpU2sNQghLqBog934PD6h1+BqsjTbmRahVFcPsftpVlCbRIMW5xMJoUZ2bivUQpHAOE3shiu6vCLGtQVelLpqw23V4verE29AQiKHxI4IkxAGi+aci8V3GSZlP6oBnlF5WpRMgAQhBfousFpHtr09UwyBAaAEhl1hf7VnfzUxjsWBmsUCqsDP8n3NpGT8tdqkNs+m8+oV55RYEMKuC2w2kdubnjsnG26tVnQheMwjrB9pBT2CakDJqGbXmBj4mbSgWggx8MlPfpQYex48eEzVElY+lUjw2DVKiAJqGo/dOLAfRkQs2OHtbc8rZ1tupTQHAvQ5tRI5G/8B0+CVnClqZOvdOLEbJsac0Rg8AvSIBBPoRUvLH2bd1GJMzaJCmKbCMO75rd/9Z3zHd36GX//1LzBMI3nccTFMfPRjL3G5Trzw0gs8efIEnUY3syUT0LjJtvYX90ALlYsUZl5cIzb758I5EUSINc2Lm8Wq1kux3HgV9MwpFWy8lFIYp8yTJ09Zv3DHBWWDjd6u/l3UQcpNa/QlqJjbTH1M2CwRvLzqsbkATlpnCl08V8U/C0NXDUhZR73IPDcs4dqC+1OBVfXgWkCoeSzMQ4NlyI76ZLN5sMFIr4/tq+7rrX3bmYvBVY/LDOWW92mLKJn3LEHLjFykFmEa+jpXLwGF1H+O39PiGQ9A6OEJ6i+h3r6+o3lenUHtEtnIDd/avwu7+/KeclDu4piyLPr6drD/CMQ1ZPyM7V0A0DJw5Pvd/s8IeuD/AsCHKEisTuuKqk9IQE2E0xYfRS2YmF8qIm2frTBtQsvNxb24pmeO8ZE1I0TPAI+ZMJpANlAjmFnNJm/jHmjNWm4+x6ioB15U0xAwT3Y163adDGycqXlN+SC2sWDXBx/UFnm5TgXzqilS9UKzhJmGHdOwo0+RIpFJA5bAwgjfFsgRQjEQlWKgxI64WpO7K0bZUzQyTYU8wjgVLrNylZWrAqx6Tk/XbLcJdOJq2FuZMZBTQENk1a/pc+L84RWXTy/YXWXGSZuALygEI+5KCJRhbHGMlpNtXbnX+aHOxyEGj8cD61Xk9umK+6drbq17NqsVYGRsy3clHvtJ2mgXNTJ4zkrJylQJzWpk99u3T9iebPjt3/oC41gsT1oX+MjHP8Lrr73BOIyWOb1kYjTvuTyN/PzP/v9gymz6yO1tx8snJ2xiNODeVFzSJuwQQwOz4OYtCuM+sxszF/uRy3FidBf51ToQu44UlcLEOBUkKiE64A+OCRrKsnbbD5m3H77FKq548vgtLs4nBEhd4EMffYE7t28jqlw+fUwMUGIgxA7FNWLqmh6srwYPkBlDcIfJCnp0tlY5905qRaQuZGysLPlAB9K1Ce/lX0Qkst2eIDVK+1JLMKPkQ0F6pO1Znu7WQU/8uxDGVLBtn4VqIq8ysZq0S0UmXqS06OWtNO+vc7BLaVWdJeic+LVqvOqgn41jdewcb4dAoj2BtKuo8c9q0EhkBlbzF5mLO4IF9g6XgOr6HZtmaYHMDsqvr2VewzSlbrOELSV5Cw1dL18UVH8/x/zVzlleocurr4Obo6d+PiDR5/482Jbv7ObznoNulqc8A/wcXnnDic+59v+M4OcDD3zEQYvlhQoQKzfGBGMQExQUdX9zad5aSiEky6lU43pYlGbLV9WmEwlQiq9wlOIDTsWzjrv2p6ZksNKDpaGgrhPnIVant6kGIFvydZxHVFXAwVdAbUJ1UBN8kAb1ODCURb4raROB+lGhap8KlIyOE3m/J/cdKayYvfmlASsKbfKOYpqEvl/RbTbsLnbsZWKvgYucuZpgl5UchJM7a+6/co8Pf+RDbBI8ffqA1956h4vLAUUoKdL3W87uvMjleeHi9dfZ5UQJEHtFs7uDq/E1xslo4tWDKlSCwWLWrE52wYVrCELXBfoknJ0kXjrbcGe75mS9oosdijAUy12lUs1cYP551l9UjI+Uq1bLzWAi5tb94v3bfPkPvsrjR+fGwemM4PvlP/gK0clmIrBa9UzZzC9THgkqbPrIS7dPuLvq6AkLeoM9W9FiQDgHi8cU57gyCow5czWMXFxOnO9HrqYJDcL2pKNbRTbbRAhG3C+7ySJKp3merkTWefGv5Gyxfd45f4fVJvHowSUhCOvtmi5Fxv3OeWkG1mPfo25uk8ohM7FsyVJjaN5ZZv0KDfjYBc71ARtXHocriptfJczgpyGlhZmrdQJDUBb5WnjjzQekV15gs+6oPeRwChfv5rpAf0vuTZXC9fwZ4FTTkjgXr+bEUhare6G9pyUooYKeqiVpph0X3ougmga+ZBbutU5NPXK4a65XBXHHj3yd2zODybprSaQ+bIq5HWZgUwHpgZV5AWaWqThYFtMk8fIBls/jCEcqeDm4uj1w01Qt638dbi0qMFdEFz/rC2xNddi888tsb3quz7xbvYz5eD12HTjMOw8w5XtBRs/QfF0/74ZDyzXAs659DnB63qVfb9sHH/ggltupmKCIIaDZYpdYnxeiRFSyeWAVi8ZTWm6aGZhU0qVqdT3XxYRhQecaWQHj5Ki4xsc1Q3VhKM6wtsnE4EoR965CXXPhk4hhC7IWTy+gbQJR1yYZGqrMAl8ziiAl+z2q54vFdVHEVMc+mWkDV+ayr1kYhz3j2NG7RkVLtFQbiqWn0GLlu/lMgtCvVmy2W3YnO65KYVeUiwmuNJM2gbNNx717J7z86ovcfeEe6MSV7pAnTwiD5SlLoWe7voWwodskXvrEltOLK95+4w0TrtPEOAzg3CGo7uf2vmMKlOxQUk1YBI8AHEQIruG5s+24d7ri3knPne2mxYHKxfpFFy2YY/N2ypCNzY0EZSoTpcDk7yo5ZyfEyMl2zWaz4atvPCKlRNevyJhWKCBM42AeTV0w9/LoJk5Vuhj40J0T7q5WRKSB1TrRz/Ozaf9EleRcMUtUWxhz4WqaOB9HLvYj41SIvZGoV+uOzdoMtPtxasEZQ/IYPm1udqHTtIqWuX03DAw5eLtbm3ZdtHGkBY2RkCISovX9PIFYktQudcTUEWNyjarlHhPRBWAtIOYuUOPzzHwT8VQqVv6BiK0mmDoVL0w2YKauYb/n4ukF4dUXF2K6zukL0ahwTb1Qz21yTluaG3XNjYKT7RdmLISqiiy++Gnjsy6Gqhmr3prFvReeZsfARpnj3IC9x5qeRNojzKDm0Cx01ETtKjxy9KIutStUHFnPPWqe9jbqP7I40rQ+enhPcYiyfM5FOyxqizSP19pG9kJkSX7mqKjrWHABVrzcA0hUIdNszlzWqX6ZAa3vqgBJr51dS/PzjuCBKse7lijjJvDzTPzSznk3pHRUBY66wbPu8F6LfX+3/2PfPvDARz3/T0q2Ys+lupdX1a0DDwFqAEN/a6W4MFUhltACCKJKrglMxVTWNWEldcqT6m3h6nstLbmdUxwAYSpY3B77SV3BlEp8tiLnibT4KiYuvDnAA684/UgN1BTXGFmWazOlKcadUZ+0gzp5MLj2qK5McmYaJqZhIncTMSWfsGvcZvXgeEbmtUFfiCL0XcdqsyGNE7HAZgWbFLi1jmzWgdWmJ3UwjDuGknm6G5hyoe86AolxgLfefMLleMk3fNM3cv+l2+xfe4cSErv9npKNV1OTfqqvKu2vTobWDiHaVBzEgFlKwq1N5IWTng/dP+Xu2YZViJ72Q13wW6vG2NXwxpTsIAMjrRePyjwWS1Fh2CcSo7Dpeu6++AKvv3NOpuPFj7zCh159lX/xu5/n4dvvQJ5M07PpGcYRdbd3gnJ60vPS7S13uo6o0iZSwcH7gTDBtF7TZD0timmg1Pg8+5IZsgVRLBS6GOjXwYIWYn0s52zALgDRV33V8ckl3OwqPU/ulbNfipInW1SY0AWJycAcyiiFQCSkQOoSKViy1RhSc3HPeUTLZMLGQQ9YXYKPqeLejxabKCDBUqvU7O3tpTcJMYOgamJRLIbRRz7yIVZ9z3UtzrXZYyGwZPF7voe9+VKx2XyVAydhecAXSmXm5pTlvRayRio4qHMTwpwcM7jWQ1u/raLVQmPUZzYgrYBxAas9TVqd2i0d2Mw7F0To1hfk4JqGhup3qj5pBqMclAEyqy4XAtrvdyQsZfm74ZoGnWpDHQDUJVRtCrG5hY/eX0OwM2BqX5TlnmPN0hEeurYtwY/esP+AVzSf2o7NtHk5KKMN/+eBimVXftZ5x239zGPvD8F8neOdtn3ggY9Nnj5pYir4InWFFZBiwtFWs3UMGQfBiMK1IDumxeKqZJ19L5DKDcrY9B3avVu+LF+ZqWjz5kLNlOIGfMhYnBsgSPRUFk41dRCWK9HRhW2dHEwLLh5Z2cCcWNUcpGhboB3U3Udw0Tl1hNm8iiW5HEemcbLUHgVPmOkDt6iHAgDK6ElEJ4Ioq65js1qRY2DbG59nk0B0ZK8TTy+f8PjinP2U2V1dkTTQrXu6/oQ33zrntTcfcrmfiKe3+OQ3fSMqyjgOTONohGbMu44aSVqkBewDSCm2VBEhYHmpgNN14qXTjpdOV9xdJ1YxNjJw1axVcUmA0FmsmJLVH9eA7qQwljn3VxaBlIiq3Lp9m0990zfx5tsP2J7vuPfiq0zTxDBY71BVUm+pUVKXGPYDgnKy6nnlzpaz1ZqYnS4b5joFIlVr2Po2mJYlm1t9lsK+TEyeM6yoAaIUI9ttx3aT6PtIkEKZtJGyvYsvyPQVSC5kC/bOd7uB1K+pPKNxzDx+es6dOycWAmGRQyvFSOw7z6yOu5SbVpIQPUimEfK1TLMA9uuj89yqkAuu7WGR1mIGu6H1hSaim5lE6ELHug/Nw3COg/Rs6VATBR8GutT2H2gDg/WYLP5teysWagE2Z4m+1LYur2+4oPJI5FC703Cezu9H/cdMfbaT5sCRtM+llkH8nBrcs+07AJBe38W/tYqz6mje14T0EaA6QCeL5q/lLNtnAZ1m8d+0XnNLt+OyLO+6F971dz0DGbvvAaw6ulKfdfm1clspenTuDdcfa3uE97DVLn8A7J538g1Hb9jddjWgecOJz0E3B7u/jlHQBx74lFAnWWixNdRs6VGAiGtGPEpN8KCClYno4dqtg9bgcA6itK4ZjZtQdLG6VEVKnTgdbHg8IDUE1aLLanHNU6lReisnSMwFmWIkba0TmJURog2aEIIRcNWj+GhNJIpHjHYPqMW8YGvU4rnKfEKu6m1VA1bjxDSM5H4gByEWTOPkSZ0ULDJ0dmGWS4svEwKs1j1CR3ey4fRkTQxKznvGq6fsnu4Z9iNk6BVS7Ln30iu8+rFv4rc+//v83hffIedMv4689MJt3n7jDSC7q77nGxJaJOz6boMIEgIxesgWde2EzKun6g2Up8K0Hx341uWWIJJMqyN2rsRAFiVkS+1QCkyqZNQ9yQSNAQ1KksQnv+GTPD2/ZBgGtqcbvvDF36Preq4uLyhTpu8Tm80KDco4TsQonJ2u+NCdW5x0EckzoBafgbTehzrvWz9WX/nnrEwTTJLZlYlRLOmtCqQuErvA9qRnu+npuo5SRiPQ4+AIdW3hPPFV3LBwlm6fYS1IVHSEPBW+9AdvcvfupwjBhGeMkZSc45PVvMw86rm5sUMNqFlziHlvZc62vtAUUM2ZFuwxSI3UPFd2Fs3S/oUKjAQkEII97zhlVr3lmpu1D8ebC9c65hZwpoKK6kDQhKbW2pq5uTSNzaJdWxtb2fMtjD82C/AqzIV5V52X6jWzRgjMX6NI9QC1mQoHNLNgP6xLA2+1+q7BnkudeVMKLWGo+AUNKB+23ALfyHx+3Rblmdfekh+1KK2BtsP6LutGa5frkvYATi4CNh6AUmg9ux49iKbki53l73rF3JiH9zwAPQeAR2++6BpimOskraVu2J4LLhYg8w8Bfg6b872Bn69jrHOwfeCBj6nwPalnnUVLJUz6ZBZtX1DaiqeIczsKSLFBU8nJ5uQzh99Ha1BCv+dCn1lXCgLgHl2VNlEckFgcmJnIXNcpRaC5xxZtSUkbXyXENkGFZPyKaSpIFgdBlpW7TmhLGqUWtWCO6kNLnbtceQZFQDI6TZQxk2UkBHPhz1KTuyp5yjZCcnatg3FhAoEuRFIXWa061jGiUZkwr7UEIBbEzojRHXe2t7i12ZKisF4FcoHx8ilvfOUPePzOm6Sg9H0yACpiXCR/B8VVcyEosXO+iIOUmv09RBzEwBRgRCnjSMjWzBI8JUj08tRMZEEM2MRYyFGM7E6Th1S1UsQE87i/4td/7fM8eXrBx/7EN/GpP/GNvPnaW6z6jtAF1msjzOeSCaLcuXvCK3dOOYnRuGMlM2cM9a4kzXBKk1L1WFamPLEvhYHCKIXJ+TAShNQl+k1itelZr1as+sR+P5qWk6ZQsn4i8/cWW6f2m9qXFEoe6TeJ3TiRc+HhO0957ctv8+GPvUCIQtevCRItbtE0WVJSCUai9hxw4AJ5Cbw8xk8VlnjdQnVTr2lUjvg7zQyzAAF13m/tVDLTOJK6npwzSDoUSLJ4p17AbLbCgEj1rGq7q0iqOqAlsqlFz8ayAy1EA1SzyF2CqlloMy/tdX4uS+pLkzbi55nGt7T2WHJ06p0aT6a1ly7OkYN7zfooWb6SdsKyN7buI4d7lr+0HtfF52E12ruQxblzAT6rCh6baNnYMw/oRnBR998o7I90RAemqJtA1XxcFyhBj2p0AJLqgx1X4RkAhGstd8O2eP83nnHQkZ59/Y273g383FDu8y75etk+8MCnjsS6OsHNNWhBg2tV3GZkGgSPBCzBckmJMOEcBpXmdVJV8kXxiM9CUXcoVhMSGmrmdRbmBO/0LjkFC0poQEca+BBfDeZCc10vFfmLeO6lRM0yaikNhCkXxmEkj6Pn89EmxLPOGa7BOANhkdEdfEx6Ry1FmYaBfdcZQEnJ83yZhIwUxE0qWgrR7YWaC+RC8PZLRdE8GpAcMzJlVhLp3Is5EhEVzt9+wP5yjzx9yKdeOuX188TV/orLywvu3zllvLogBsusPU0Tkk3DU0pBi0X/3awDfS+MWbm4Kuhg3kEhCqtV5PS05/RkRb/u0CgMOaNjgaykFDwyM84hMf5Gwbz5NIoFVnRTjYK1YTB9YQiBq6uR3/znv8PjR08Yhokv/vbvIiVDHrl12hNiZByvkKL0KfDSK3e4lTp6CZZKpWTXSrhXEy5cS7b3LxbX0bqRaX3GUpimzH6c2IkyBTPFlRCRFIgpsN709KvOuDfeSadS2E/mjWZPSsUdTehBTaFyOLPmnEnrgJw7ICqBL37xLVLf85GPv0LWTHZQhCpRXFMTLVp1JbRqHQwqiEQjyqs24r04yRnw/GMQQ006Y5yzWdzOQ76N+aqxFUzTlS+QLjEMe7bbNQdox+tx00x9YLpq0m4WaU1YQ4vNVZXGVrQeDq4GLmb6bmmO7A4rpLZP3Vfdyut9ZyDScvc1LVJFsjqfU+vYNLsOxNq1i4drscsqcDlEka3W0o7Oj7VEm3NTtWjOB+e2T+cwLZpZHOQoesj3ac2xQIFH5OZ3l/aL7rxAWnr8Ttv70rmb3FBQbbr52DH4eZdNF0PuAHXcWONnPsy7P/UztueAmOUQ+UNtX4fg5wMPfJqWG3fFjPN0qcjMsVFF4uxujnNiKJkYnFwZabNaRfvic2vBiMJ1pZoxt3ZbTS+8pwAcLIUgoMXU0z7w64Cp5q/gE1WbgiQYKBMISSw2jJimQFJg1QfGrrC7vCDvB3KekIUJocovnKtk3ijSAJwoaDGvJQpMU6FMmRwmJoUoETznWTYHMbRk805xDyMpxYIvlkIZR0YtlBJBjIgbRxCNDh6Dqx0Cw+MLpqdX9Fp45e4ZL370FfZxw3a75eLpEx4+UFKIiChTVssgHwLTWJiGEXJmsxb6TeBqUibx5JcSWPeRs9MNd05X3D1ZsV4lpmFinCbyNBrInAJJIAV3ey8ZzaOr4h0ZBtAAGhVCQaK1Z5cin/qGT/Jbn/8DHr71iGkybdtwecUX/vlv8+GP3OdDr97n9bceETthLYEXbt9im5JFpcY1NJIsOW4pLWebdzh7h1TB5WA4W6qMXc5cjpkrFFIwrVQA9YCJqz7RrzrjmOXJQY9llM/Zu3Uj3fsNlyveAz6FmYJf/fiL/O7j19GhMAwDqV/xhd99nWkqfPwTr0A2b5sYoucjCx6vKLQxpy14YmGcJotRFaPFZhLz/LIhJS3mT42OfoDOmB0TljmlhNBm75h6W7iUyTWVdt3sJlAj4Wgbp3MbzIYHb5DDiabiGj/HNAAeBqMJzBvcqQVq8spmSpKZoVMFYJ1rZkE9e9VZtHkql9nNk0vNElSQVI83M9kCalUNg/ocVoHcAT7BKrLEHO2sWr8m6aqJjCU0as95favIaIkgFiDkQIL6omBx7qyvWb6j+XvFR3X3oTBvhbR3ebCjfT2s+Qx4rj/R0fphia9uBANy049r3ezZrXfju1rsXybIvs5/ur5dq88BGNMbjj1319fV9sEHPmar8BWrkKnEYLGUE1pcg1NdwG3VKeIrsIhxglQ9DYAPOZ0nnToWLBGqh5IL4nF41KPk4NcLo2uUSlHXyphQtRQQVlZdbTRyaQGRgmhNMGrkzhQ7umgaLPOWgXXqCShXquheIU+NT1QWdbWVlE0IsThpORfTdBTAAypO+4FJgscVMSAoHpGlFAtiiNYUEmp1KaZFyTlbbq5SiLGg00SYLGyABQi0ZytTQYpQdEQCrDcrXvnox/jwJ7+Zq3HPv/i9z7O7eJsyDnTJXNZjSgjCfjfy+NE5F+c7j9WidD2cxgjbQJcSJ33k9nbDyXrFdrsx7Zju0H0wwnsx76aSR0rwQI0oYRRSAJFkTeLpFaL/leRJa/uO3/39L/HSqy/Tn57yz3/tt7FVopJLZjcN3L5/xpP9E8peuL3ecKtLZmbDE3F6vyBUzznXQrpGRqjARBrJOhczb+7HzD4XdqV4WhOlaLZcYMlBh+cZmPLIfhrZTxMlz54+0lCxayvmxe4Bidi8EpXHj99mtYlcDZavaxpHVDv+4ItvUXLhU5/8cOPkJDdR1YSj1r2tz4zjaBo8CaRuRdd5/jJlHhtBkGj9sWoOFAPqIgmkYxiv6JJpgJaclJbUQ9UJ1BHVTM7ZEhE7cWwGQNLKPxRfleuh/v9SBC01MSaQa0iKluNrKcRlBko18l4FN4cSo7bXvPiZZc+S0CutqrI428r0BV3zMmuXz5jlmqZrbodjvQNe5gxUZnE7m9PrDMESVbV2qoK43XXZBw/af3nT+pwHyGQ+dPQb5mCQB4/lgPbojTC/36V41+Xha0XNP967qDfgeQjiltfO4Hb5LAcl3FghWZ54Q1XmbiNHzXcM7g6vuwkDvhdo8/UMfj7wwKcm9VSwFBMC1ba01AYRYnNlnuNmWWyVlkC0msNKIYgHrsPSLmgb9G5aCkJC2vJKXYNUNUqSZyFzXYU6Dwgbo2ZaMffzQJRIDJ25BPuKPkpHDJFOsBX1STJB7l47mksTnEHnTl5XgFXDJW5ua+TNXMzdejSNj6Q0B6nzXAKqoE4nKrlQJsvPJdmiHk8T5MmycBsJG6Rqi7I/bqnAx7UZU+bx62/RdWskQthd8OHbp8QkrNYr5/J0QOD84pJ1F3ldC0/Od5Ss9FFYbyIxJlarFSd9x61+Q9+vWPUriiqpz8RVx6QTOmTGkg2E5clCAASBcUADxA7XtNk7DTEQ+4QGAxrdZovuR5DCsL8kJSFte2IKbE82fOTjr/KZP/2v8eXXX+PyYk+fle1pog+J5vYcaMK3EnerDkJEmode00+ohWcYcmGX1QIuFtCipGTBEEIM9H1HCsnBtzLkzG7YM1VX9mWfOwI8ULHHfJbjf4ood18+5erJQ1DYX12x2grrdIvXvvqQzWrFJz7xEUQsVpF5Y9kYydPINA6M40hB6PoVMVpcnlwKU87EYIAppuik9Rnwm0DygIZpS9ZACFMDCQJUknQdaCEkxnFP8vA/w7hjE/vFWHNvTAQlH6xyq1nxEF1oG6PFx6n453zKLL6rOdE0QszlLADGQu4zA4kFGFhKrIX8O/busetqrLJ6G3+HujxnIdjnVz7Dl6pxOzi6vHn9uURRSyG8AFuyfLQGy7wWM4iSRZvNYKgWcQyHDnUX12S/zO/geUL4+vEFf+fg2HXAsgSyy2fWo/OomO2mChxjj8WDtLevx63+Lkjnhm0GnceXPBv8HMCsZ6GZd0M5X2co6AMPfJYdRjwarGK8GVHjQmQ/zxyojONTxNbYdXEQolgmcMRWKt6JBSXFQimWfTqKCYrqSlyHtLr62m4hHrRMoWqTvJ4qTvgsc/3FV6OlmBePgRVbQYMgIRKi8UdEIil6dGHM22tQpeQ9jWOgXknFOU5GLC11mV/BEEa6zmMmB2ulKEaotvh1iqdMt8mlFPfumlfGpdiqngEIVl6tdymFkp247Q1dPYvKlLl68JAvXzwldoGQhNPVmrRKdOue2JvGJysMWelWOyR25LJjytBhXKxuFVn1kc12xXq1IYZIfSshdaT1iiGPppnKFn4AzSRVkkBMlkk+ikLoUIkQHWiKUEKmTz1nd+9y8ZXX+fKXv8ywG1itAqO39zf9iW8iBOF/+p/+AW+/+YAuQAecbdasY2/mPjGBb1o/54NF004i3l+rus7dgHJRdpNpeoZcjNfj7Ri7jhCFft2x6hNdipZvLY9MeWLKZuZqxGYP2rgEV/MA8gnT+30dFNM4kfWc2AemXabkCUpms17x9OnEF774Bmdnt3n5pftzolGFKU+M40jOhdj1JCfr5+r1VeMASUSiubyLm3frDGoB68w02HUnDLtz88BbCFMhHMTGidG4PVFGYieMQ8d2c4uqbTHJ5IEkG2BqHgDUTHmFaraWNp7EpVrVLPujts2sUVaZZQDD+SSvgSwI1Ygrcly4L7k416SyNoBju+a7L4IVLCTfApTVApfStl5TQUcjIzOX4eOoXrWM6Dw3+8EZiwbBwc/CjOf9yuqk7bluhjsc0nqEQ47QEp9yfavzev0+g4pF79ejCzgkTR/d6rBuxze8EfTIjFivcZRu2A4QyE0Hb774+K22sw/637sXt1gHLL4sKvTc+j23in/s2wce+EwKoWTzgDB1D9WLyUxJZhzPTs51f51qMieLUIJ4hNmKGdS1PsGIzRrcS2v5p5bmoECdhuoK0LRHuHqZxSRmArZ4OgwLVmggQfE8XKUQ8oRqRggeByURU6RPa4s2HMSFdgcITwvsp0KZRlB3cy5NpwNIy/Ze9zQ1urvDTlNGgxDCCCERmpMz7RpVWiRadVAlag0iWckUa5Oc2xysZc5Mf6BWrpqXfbbYjH1CY4QutfFVClxd7bm4GHj4dODR04FxBJE5PpKKulksIF0ghcTkHnISIzF1hFVPyUbEHcZMmTKxBDqUpJHoecpiLxAtGF/QQBcTMmX6rqMLsEpCnwKhE+5/4i6/94W32V1m/unP/TJgpPAYg0VJ9klfsEjEBeN8aS5u1nT+VWthZj4HBo6mnBlL4crBT3bBjUDqEqt1Yr3t2aw7umgmu7FkSpmowR9rwslMNZ/ZzWquuCpgmrm3iSp7Z6tN4sUPb3nt9x6hCleXl7z52le5dfsOq80Jv/fFr7Jar7l354yi2fhF0wgirFZrFCiaUTXScuo7urSyOFYV5ARpOblM+EgjP4fQm6dhnuhi5cF5ix3p/kWEkke0WG61cag5OuLBMzWm/4wqFmOjflag4G9RqympaoBkBpV1jHgfr+apOa8cBwDNAM+hEJwBynKfO05I1S/Mda0soTn+UJmfReez5lLmp1yec11q+lVKXfm1k5YtNO/zT1kAhRpvaW4ZKlzVA3OXtqq0e7ZnO6zTMQSprWFgsLbP4RVcu8qvWzz7DHTmxdm17Qbko8fvDgfKC9CEjyup/UGPjnNYxqIrHVW8/lhUZIFzj8s7qOrRec99Lg7b7ZknXq/Gc8v8WmwfeOCDmCmoegZUk1H2SSq45444EbksyMbF8ww11XBQkgTIigYzGQQC5jEFqFLEgE/w3E7iE9ysol6uFhwgVL6PuBu1BCgGpjJQuT6oR8odR7QfifQkhC4IXYqs+t7dhZ3/o5BCRLOZqobLc/I0UtMMmDahCtIGX6xdEHPxF9yVXpHiYEyUkiFE56UU9dQEVsfDCLQLjxAVI7z6QkPK/FwVRhXMdVnrD8HuWZSsmVQm8mgedNO058n5jgcPr3j7nUuurrLlj+jMDGMmDQNc+5zpciaGjhAj2TV6IQW61Yq+cmWGiTIVYlGmooSuEHMgFuiIdH0iujt2lyIhZErOXJyfs1lF+nu3kaDcf+mMdx5eMbx5jqoSg6daiNBFISZ7T25/ohIOi/PCrI2MgxakigUXDFgQzGHK7MZiGh/PHWYxcixlxGazZrPuWK86+iigI6VkpjyBOLk+QMneSYu0PkkDGlVYWa9tnBI/crXfEXImRGn8sWG/Z3dxTkiRywvltz7/+/ypT38zXWem15j65o1nC4REjELqOrqUiKFrz2sjsSbHrBoV1/i4mJ2m0UnPzrpZqCWa0GsqzAJlIKBM41PG6YKYzqyjiY+BCsoX4H5mpiz+fPGitX8jHEYRdu1Q3d1AglSJTGUWSY3JxEJY+3NUpYDNVAuujlXgmYJrhh6uvW4mI3WBu3i5Vet8eHET4DWQ46HElfmnD3wJM8/nuDZLcAHL/iWLsxbP0m6jB7fVduwmMbys4+Lao01v+rYQ1vb7EDa0NrgGfqQ9RYXKIge1ONDGLd/b8krrHkuN3+EdbtxxI7KYv8pRXY8B32F1boY1N27vA8BcK/XrAPx88IEP0f+yqWKLTx4+WAWgWCTm6LFfQJhU7RpMOJCrGt0nEREzfxS1CctVRDWJaWlxdzyflGfJ1CIOdmiRhVUzpUUxE9Pq+Ehpg6lqjrwj7y939HHFanVCij0p9aSuI6VECJ7JWyD3PQVhHM29WDyYXJuHffLwwM8tmSRSjONU74+ABrQEshhZVplzXwWYU3oUI4sTpMVAMmE1g72iSnVULj7QYzAC9WwiFGiOy6Z1y5MFMSxD4enlwDtPdrz54JLLy4EumidQjJmuC6w6C1g36cjEihFzee9jxPjbBSHRCfRFGadiXJ/R3MPJxYR6F0lF6VWQkAixs3cjga4L7LLxg/q+RyTSr1bce+E+n/jEU4bLLzBOlk5EUUIK9F1g3SdSiihzFPDiZN9ZIEFNsquOoiUI05QZ3by1z/Y9FzPjxmimzhgj/apntUqsVx2dKGXKdg9slR8jDWw5wgQMdxNmAWNjxIeTC2V1MCEo/UZY3YpcPXJNnsIwDGzyxDRlcj7l97/0VT75iY/Q9x2gTNlQcuoSMXYGJmMiheD9zoXjgng8Sz5t8WdKKeSyJ4YZLNjYnrUKupBGFhoiU3RiHEYePnyTF1+8ZQKnGNix1A7ioKYGFaw1qOllvB61bzZtGH6WAaJqHhRRd96yZYWKt7Uu/HT8nyCHdTbtxXI10ZAZS67MDCnUv1eBakmKG+BaYtfZxtTuIa0DYgBJDARUs1vlnFWCoGJhQSrheRaqM3CoJq+lOcyqv5j3/PXW+y1LWG7zU3mtl4DoxnOX2rB5myHtexP0xxqf9ya7D8HiMfBonPRj8PJuZq/je9wIJnTxfq9vx+DnmQ3I9WMVwy95TQcnfR2Am+dt/xcAPm52UjEA4oIEjPRr2bWj01+MF5N9IGrJ4OkMAtFIwmqTgbYIqBZHpWlOMA+rNil43CBVM2EUglGli8U2UTXPp+DeK0XV+Baon79YhmjDFZQpc3m5I/Q9cd3Ti2khVslIzzV4nSrIrcg0Zab9wNU4mabH3YhtbCxWxm7icoYQSaJpvoL9SYhItMjGNalkBWYtebQn38xjaSrushj0YPesCid1QWfaDQ8M6cBQg2maLEGoJUUNI1xe7Xj46IrXHl7x9uMdUy6cbCPb9YrUTyaM19EmlmgCMcRISD0SEikUMoFMJobEio4pw2osjFNm2vk7nIy3ZU8xEuNASCtC6KoI9ACUhSIGOHOeIMPHP/4RXvvS61ycX1GykqUgQdn2iVurNavYgRgPSwruUUcTDlUjqTiRHIDANAn7ogzZiM1jS8FgWqTUJbou0fWJ1PWeN6s0zYMKlh1dosWoiiDTnLeuvrQiC/G5EEaomZ88hC/DNHL3lVN2T5+gk2lnxnFimgZSiFxdXdCtEhdXA11/QikjMUa6riPGziMxm6t6Nb01QVk7jDZmzLwYYKkhW+oZjnQObZETuNqNUK7ok3I1KCKXfoIshESoHdPmgVld0/r7rMKxuUSwSN8cCHKLBVbfqSyLqSaOxVMJNW7zEggcUmQNUJUm+O34XM4saw5awOeO+Ywlj6Wap+q4b9ogKghqmKxirfkZad3Au4Z7u85H23dZPMnxXDCb5PTaWcv3XoVtk6vXvyyIu88GTzdty6L0qMzrJx3ccd7BzZjloJp+ybKeS7pN074cIaIDoPKMOt14YHnRYVUPd9/QlgdFccPua+Dn6CZfp+DnAw98smaCBhLBXbjNbGIufc6hCRbIz7Q0dQRnEHHurvMt/LdQsPgjNkkgYjwFbADH4u7wakACrURnuzZhuYnqJBfEY9pgdagCyJVPUGxlWwMZjv59V66QFFlvtmxWOIfEBEpdXYkEUkrkUhj2A9MwMJxnd3GrdnB199s6mVrslbb0DxFiotSs2DEhtsS2FaAWQqpgTT2Tu2u5gnmJeUxDoohHwIZ5LVYJjj4Buias5uKq/svFIzEP08T5kx2PHl3x4J1znl6OEGC1WrE9XbHadshK6VfiWhSQWMBjOKlASImEUggEhV4sVckJlqPsfCrs96Nr3hSRQoiFYRyRYQ8SIdVgkOr3USYKUSNXV5estlvGIjw9nwhB6Htlu07cOVlzslpZ9GEJxiHTChK1TbzF981B+AI5ZyYtDFm5mjJDKc4zs/4V0kxoTiFYPBwvf6JQxIj6ATGumgYk5BafSLBHwwESsDDDLECJzPwgAmga2NzuuHxntGtz4fGDx6xWPatVRxD4F7/zBT7zp/9vrFcrYrQ+FlPngQmlLQRm2MdCsM97K79HFXIZncxP64/XN9s7lYlxHOh703ptNmtOb50hBEojOFepWgVP7ZfLWbyKcfG+IU4U9fmkajjdzC6lODlbUckNHDQh46ById69/KWE56BtDp/OzfE2mBdHTEO8wKszr5BZA3v8ZIc10RkELJjEtXlm7dvhO7Of4aCqB4K7AarKmjqSucdC038/V442OV/bzgbSs+TvkiReFuNuWY3r32R+iIbAZt5be2831a02ArT3X+t5ECB0iXkWlZTnPvz1e1w/qNfb9fjSmxDau932APzcfNtrJX6NQdEHHvjUici0CzZyJjF3bJexC+GirXeVUt+mra7m691MpB7ADzsnBCFnWQiMeR1WBXtVYdfIqRUMNQBFVXPblaWoRQTG1pTZE5Calr1QknC1v+Ty8pxbt261Cco8u2JLFhlJ3JLAfpi4urwijwO6u2qmNgTn29gArp4lUcTc/CXSxZ6YEiF1kJIRThsHNBhObBO6Gvk7BmvHIEborerrOqp9gFeZqqXqhWyHcR9spW7tEyiTMgwjF1cj5xd7doOZU7o+kPOIxBW3bm+RFahMlDIxjhale2Kil+xeOQHpIkkiOSsEWMuGKU/k08xULFzBOE7m+Yal0AhTZhwGQrDwAWpBbTxScbYIxUUYp4nTfkXfb9kPj+j6yCb1nJ1uuX12iy72oJ4OQy0NBrX9QiUaey6pOvGJ9cbBzVyj85DqpGkhgISuj6x648uEYDwiCzEw0XzRvc9LUiSLx1WyQJ2ekB6ns0FxvUadqNys0TR+AYpM9LeEq0fuGYdp7KacCTGw3+1Y9R1vvfkOn/qGjxFCwU8zbY+pReaqKbTo2LXPNKFTx4AyTHuKunlPgmtzaeMNXwAoypOnj8g6MJRMVKGLib5fN9HbBJu6qbbyd1xgiHqCYxdIBr4Wx13k1mcwibDgCVUwVD3Hqoq0cviqZNel8JwBRwUlFaA1IaV4zWdgWoHQPAfVb4dSaumiUItq9a/DtHqStvbXxbFwMNcdgFZ/njng5E2wrT6mtIocyMT28uc6t9Ja/KMjCXpTOc+QtHrTUV2WeIi+ZKHO0VYXvbmeSw3qUkPmc3ztI7qYN49ez9wn3w0l3NioxwfevZz6GM3Z7Bpie0YR114azzjx62P7wAMfoxdGW9kvCJI1jI6gHlsmtFVX7aNaiq2MpQom3PzkE56oCZPaWxTI2VMcKKKeKdODBJYas6ZNdtVY4r5kpdr7BUs0qh5sUdvKoA5KwYRZGSYuLi652u042d4Gie7ebpyJ4CavmDqm25n97ooy7rnKk0dX9oEc6mTmpO+QzAMrBELq0ZTQmJAUCck0PnERcVGrelszykQopkIoHj04IGY6URfUdSL1Z0XtnOwAzOpiDa5aUPUksk44z9nIyDkbMX21itw66diue05PNsRVZJKR/XgFYaRkZT/tjYOTEpGOmHr6rqNEmLKiEulXE+spM07m/cSlv7MQUDFzqYwjKQ2U2CERihSyZqZxMO3WvnDr6oq7KHfv3ubL6S1S17Pebjm9fYvNyQk6GXJWAUplkvi7d5BYAW4VqjkboXk/lWbiyrlUq6qBni45t6en7y0hqUomA1PJTDpZXCqpJhjo1O6exbwQg4AG565VYS/V26b24Sp8aFG7z+6t2D8s7J7kNnnnMfPw7Qfcf+k+q7NTvvKVr3D//l1u3zmx56p/yME86VBhAXoWmxqgurg8p1AIqSOKEaKrpszxGkgmio3hcdgRghHfJ4Uy7P2cCmJs/OWS2Q87Vv2GqlmqoEs0zCElCIiUpu2x53E6f20vwbU9pRGyl+bMOh8YcLiu5Vk0xmETLD5tcVfN6zQ+WNUiL9tyvra+S6HF+/G2rby6Njzr90X7L2FWM9ppa4YDQHH4TW7Yu3z3VdS7lp0Z6LDsg8fN4h1lCYOeH7+nPfDBffH7HB5bAJyD82Celhd3riDdB2aLS3SMB47f8wL81HLn7lAb9j2AiXfDHe9yvFa/3rvubf3mBvCzfOTDvTefvzz8tdg+8MAHLGt6ddcWzEumRhkWDagaeTREsWzjGtrq1gCJxVfJ2DllcjOX2/RLcft8WeTaEXPTjUCLE+Jq5zamFkI+utlpqsLOgVE1dxSPtVMrllGUQBhhf3HF06fnnN26S9YtYPmQYuoJIWIppgqnJ4X9vbuMwxV52LPPBR2nmYejWJA5N29psMh9wbkYsetIvbnOx1BNXZ4iXjKIpaoIJZKjBS8MnvNKRQlS0xNYG5mQ0jZqSikt8YCNIhci6kEIpLr2exBHaqoyoe8jt87W3Ll7wmazQrpIJ0JMBhunQVDN7KcrinZ0FFbBYvkg0axyFFLf049rTraWvlMLjDkTUyAF6ye5ZPKUmboRpTBpJpeRYdgzDco0GLAehj1nt08MKIYe6VakbkUICaLRTWvMHlzoSnAvoKzzZCLGCRvzxDBlhmx/RmrWtmKUKMTOtD19n0gx0Xe9kbsFsngwTs32zqOZHaNr00RKUwipc3iyKlP2+jj3o3opVmEn2ApRQub2Sx2789wmNEW5uthx8eSCb/zGb+bB2w+4vNxzenZiPKPKFWurTKlL6TZ+cVNsnScFCz445oF+tWLVr4nBpjJ7PxPZNbO7cUcQpY+BYbpAugwJRrXo4Sn282LDa5zzRAyxeWypBFTzXB9qnCysB4prb6T23Jl3FLSYydrBUJBaZgW1rhHW2oj2DIfy8FBz4PCJ5VlaAZQvKMpCAonPN9fPr098KLHaecdIpnKYFu+oaqcPk5L6DQ9+L+93w15//w0gHKGthQ7pBoHZoEED4xw/300S1ncvwVEFwDeZq9qTHXw5BkMzaDrAclQAdICW/BJZvB9Z1O0G0PBcu9J72Rbg6t2Ax43H/4+jla8h3mnbBx74ZLVM4oVin0XmmQBTaWd1T5JciCpObnabvKc/npqAmkmWFngvOHna4+y00VTcP8TJzgh1FeZzhYEx74OpmYiw+1LIzpkuxQZMKWqJQJuZqHjQrpGLp084v3jKdnPCeoMJ8xDpasbvENjKlnKWmYaRaRhNeLN3srMJQMEyphMTKoHUdYTU0aXePMa6ZCAgpkbctOCFwbg9Ex4nxdNWTJ6mIJTDuCXeJqWAVOFRJ9CqkYtub8G0bMGBQYxCSoEuBfoojCp0fWJzsma7XXOy3ZJFmcQDNAqc655xP6LFIKMKBImI7BESSDIX8xKJXaJnRdbJiOvD3gIiEhw8CBPZhKt6HBopTLmwv8rsd4VHDx7zwv0z7t2/zarvmju1OE9KFcvH5Z+COgk7uKeg1EeneMyeyUFP1fjkUpogDDGYpqe6r1cPPyzjfKHmjtO5H7qAtfAH1cuueu3Yc4kT7N1B0fvnYs53SSMYQLz78hlhvM1rf/AGLSy0CA8fPOLN17+KBOW117/Cettx//49y9jOglxPBUH1+yzmveNQirIf9iiQYucmNx8ToSBamMYrUuoQlPPLh+R8wZPLN1nf6iElxjK4Wa+DxXMrcDXs2a427UFNgxNRrTq5yumxPlSFlhHIBSNLqQM212u6SbOCmKoVqk4SFcbMQQWVSjKuCU5n4azz4ol5LltutTUrOK2oonBwIQciXmdAVT3S6oGqnZ0tNjrjIAdC1TG1en/V8uvxZs5blHgTMGrP8Azzz+FT0kxx12V0vbAeOf6+OI+5gENcs0BkB4BsJv3XOfy4nsfHdbGvEphbJvnFCdfI0W1R8Czg94ztGIMe738vZR02zbuWLdfOP2qAr5PtAw98pLroas2jJVh+BVrI/+reHkohqJGOM4XgeRi0mEgwry7nBiHNNd3SYhjhWD3hoBGow9zTfRVRgyO3ydArou5SLOruzMVW40GsjqKLNWnxCVZMeE0ysru45OmjJ5yenrHZnjL1hYTxJ0Ko3J3AyfqU6XZhHCYzk+kjyjChk7v7C0AgpASxI/Y9qV8RU+fRgAOxM5d5ewYQtSCDxkFJ7qUUkGKeVJkJZRFCLYh5rpWlp5ery5vNO6BqiVMVSL4CSkGQvmO17u3vcmCUiW4dWW/XpNSxWq0hKpMkYoL10DOWx1ztzylZZm5MgXEc6LoVQiKEjiRK7kAlsdINRSDuhbIfTOOkZo6zEAYGUI33pZ7NfkIHZbjYszs/Z7W9w+3bay7OJ8/5BRULF1yTR437VD1/xAQ49syqylTy7LqOA8Ng/K8QhX7Tc3q24dZ2zclmzXazJSYT1pRMCN6vSyEXc2vXUIW6pX4Qz3Nlr8NSiGhQogMdKT6RG45tuagMGJkOpF8Hbr/U8+ZXzavPUlWYl9dbb77FSy/f4/zJYx49fMBLL7zUxB+1b7RZ0xYfbfD6jC84SXkaiLGji51BYpnLKFoY82CpXEKkqDJMO0oYiX1kvbrF06unaI6kuJqfmTl69BxLqMqjMoMYxAnfVdDZImmB0xwUZJtPgpqLXAVSYs8kujSJ+afOD9JAz/yjPaMv2xZ1X8qiGUy1sVW1C15MvVa8vQ/hgD1Y9R0TfwdLoT5739U7NujWwNsxJ6gCoEOsszh2JPRvkpNyeEWDbe37NQFbzaUzAJtJhfOdlpfptTIO737T4VqLA4NYM3Mt0RHNWcDexfzQSypQ5ZE1T8p2bR0Kz0Ik77bdcMF7AD9LYvUxKLsJWB2Ct+eAn68RIPrAAx9U0JIJrsM3bo82bY0oDi6ya0bKQuAKQnS1sZnMIgtvLttrDuquvYHoyUexfulLkdqBI2JRd30Mus2MyvKwuUMtiGJRM2m1CXH2+hLVuQ4Zym7g/PEjntw+4+T0Ftv1muohhEcKtpVxx+nJqSWGHPeoKvsnF6gMlFzcxJGQrjfuxGpFiAnpOkKKpkVIwfOEOe1aTfCYMi1AxrQXEYuY7VGza+TsmmDTKm8jvqZa0Ar88BcTMACJe8iIaXrWmxXrTcd6kygaOLnVc3JrzXqzRUJP7CyTfOrMTBFTMBIuCnliKDCNmRQC3TCQYseqW5FCIEih7yJBVk4YhjGYGTRqtLg8Tmg2kFvIkzLsM8NuYrrKXD65ZBonVpq5fbZhf/WErhNSMpMUGtDJiK4hCW71MDAo5uknmi0qcVHGoowC2kXCVOj6YtGoBUKKbE/X3DpdsdmYmavrzCSZ88iYR1QnA1DZiNv1HQhCBothRZiTg6INoEmwSFgqdl7Ji8lddc6jpfD4/BFnt17g7it3ePDaI7rUkXMmdZFHj57QrSLb7YZHDx/x5Mlj7t6724Rn5Tu1raGOQ/3BbndJyfaOLJ3FwcnWpiEx5Yk+rei6DfspQMiECKenp1wNO6AjSFrMu8qYR9arTQPeNNHf/Pf8HuKWKXUtj4P1GsvmgNhcFx5CTYlhnmDW/hYBvpbrZTbB4bWbVS3NrDX/OIQC1GWGF9Jki89DelDGAhA0GNGag4MI0r6IawDL2z0sL1FoCUznV3J9q6a75c0O4cdBGfOR60K0VU+EWWO2ADZLQSy14kux7FpOZPG8N7J6rpV7TaVTT2Hm9ly75bO+Lytai13is4M2eB/bjeDiqO3fBYDMXnzPLPA93PM9H/4j3z7wwMe07UbWCxaYn5xNrW/0OfdiKsY3KR7ZORVpmnr1uDu2vl8kLhUXVChaqtmmuBC3CaE0tzEf615oqGDIbf6WDsAEf5G61pWm3SnYtVLUoqMWq1fB4qbolNmdn/P4wQNundziZLVls1oDikgiSCSIcZToCtPpKWN+kZItfP+AILlYokh3M45dR+xXSDDAkzrT9piZKTYiZ9BopiWUUiy4YfB0EDm6x1udW13bIyFalGrUPb5wDZrzFILtNw2DGLk4CMRA6AKJzMndDXdj4TQG7r10i7t3zji9dYtutaLISMkTu2Hgcj8ZWRl/hxWjUsglME0jXUyGILuVa7GCx0Ty5xRlGvZmDgwdE/YMUoy/Po2F/dXIfjeRh8LT8z2r1ZYggbt3znjj9YcW6LEzLysRtczgySYBUYFSyMM08zlCsAB9iufhEnLOni5FCEmIKbLe9JyebTndrlivEqFZCE0AlmJpInIpTEUZs2ku82SeWcYhE8s2rx4lWRQNVRRaBO/qqW2BnuuYEQc/ds+CkvrEN3zqkzx6839nnEZKNq5X0cKTR+fcv38fCZG3336bO3fuQJTmpVX9uGpcnkaebkK/sLu8tOCSaEv9oVicJ9VMkEiKPVfDZTOFDdMecbB6sXvMlEfW6cQ4bWpaomHcM00j29UJNwnYauISj+4oYmljgrrp1DouOahpPMVfIwYgAlXxYxojPJ4YghGgK9Rpgq8aptpSwFfeS5ExC7DZbHUAmawE1Ruuqpyg2sYzaJB6Tr1pi21wWLqdU322FsChmupkLmMp62f4dCjEmw74WDIuQZQuYMmSPLwobfns1yXsddTRwI/WOixI0otTlVmfZmfqgTXssDRYamZq++jR7ZftdsDdqkBTvDZLrLgEcocPfPN2iFZvPnhgT7v58hmbLW78DBTztQY3z9s+8MAnUMh5pL6GGqALLHKvui1eVNoqyISvaRmy5qaFMBOXtkVpjWZaPL1EBUe1R066ICgjzbSjAmS16MrZPEysJ9uqY8q+zM42KZbiEylzComgBtiKl6ElwzCye/qUJ0+fcOvWbU62J8b1YM51JDGSNHGyWpNv3SJPI+MwoiQ3d2Gr6JAIXWc8iWDZtWOMpC7S+XcJFpeHUhDpoGTGLEgMhBQoORiBtsaIScFSSuCal2Zq8Wk4lEYsNLlt00wI6pofQaOlY1hthbMA/WkPXeL0zim3b9/i5NYJEhPjZMLuanfF+dUlUy7ElCxqdanvykGqPwPDACIk6VBVUoIuRop2jDmRy4QorLuISiTGDkZ7l6Jq7zIrhMhuKIwDbLaJF166j/727xEjljVdCoj5iJcuIATjx5Ywu4J7/8qLSMs1l1gNWGjeeoHtyZpbJ1tOtx2pM0++aRqIKVLKSCkjU94zTfuWnNSb10i+QAw4GV3sPVSubp1sHbCal6MtBHLWKrdnE5jAMF1ydjuT+sBwaXUtZQLg4mLHW28+4EMf+RDnF5dcXl5xdrplISG9PzTR3ECQKozDyDRk+tXGNJEVXVQoq8ViRXlsrPPdE6Z8jrIjdcJuGHj89CHTKCQdmKY94zTw9OIpIXSsessT1jYPbqQOIk2LY5nbDfSrL1SCu7pXl3Va31Z1npXPIzVkQageotXD7iAejM0hszBtFWqCuYnnepLOYKUCkeJaZCNQzxrlpRqhmdNw5s3CpIbMuq5DvDALvqb0kBnOzJVaIJbFz+YyvSCtz6BhPhVm7tVc7vKT9uDH4G5R2QVMO7zuQKPS5H9lOXm1lcM6HZiwFndaAIdjaDWDG4c2VUtIbQuhmhOv85f1sDD/Lje58r/b9l7QyHs45xg+3WgeXADCrzcY9IEHPplCJBLVSAkFW12W6kKehUnstQR1Tbsje1VzwS4BmAww1TkiAEGz82+spwYx3kjrvaWe5xob9y7LqvNcXQeVuoZJzegV3PSmitcX905zTkgFSwiouUKXouRh4PL8nIuLS063ezb9ClLxydcmYGKk7xInpWe/3TLeu4uExHB1BZoR8dQPqSd5lOYYLRpzStWry7glosW0NwJlAkkRKRGyE/dE0RiJIaElk0Vb8JBYn89/W7yc2PhOtmK0NBZRgscmEgM+qSOuE6cooetYn645OT2hX288X5WwH/fkYhK5jx26EkQHJi3o5Noz/J0bi5wwKZqMqBoopBTpNbLKHaoTFHXtUEeMiRJMa9T3HdvtCV1/RpLIsBu4fHTBJgmrfsXJrRWrXkixUCSjUU2Tpsl4YVlhykiyjOJachMQqoWSjeCcx8x+NzFNhdgF+pOOrk+sevPg6vuEmRPNw84ysQ9MZWQqI+rRx+tmfcwyvRcRgtZ0C9YPa1oKEXAXRU+makCUyYWHqzYkCuN0SdYn9KvI1ZM9ME97pSiPHz3lW771TzCMOx49eodbJxubOGUW/FWHUInYtba7qyvEgcRSyFZsNqnx8wxARXbDI/b7t8n5HFUPrlhsbA/jnjcffJnN6i6lFE42W9b9uplMllJm1mm0u3n95rheVl2L1myhFypwr7n4AhIKFNf4MJu6SuVZVYDgdw8Oyq02S1ZPrcuRMKmCpgEcAz/Vb+0AQizNZ4tWNxBTj8l8ntS5ShcgZwloKkpegAW5TmOufevA0rU4vmzxpdg8BiF1/5JhtNh5WKhy7arl93q47V2Yzdpbd5Sii9bSo9IO7nIMqiow9QMHLuqL49f3H7fGssyDgo8R083bUYXnJlo01vNwysGx9wNoDpDQ13T7wAMfi0bsuXYWxMGiOpuy1EGFgGVaN3NTkeryLmQpLhRqBzQ6pzjBs3osVc8PLeYqL46mxAGMNtd6n3hUW54l4xYJOInawEDthJa/S6FF6q1UVAEkmAdWkkjZ77k8f8zTzZb1akWIkT6BhAhaEIzr0KXIdr1mmiZUhV1KjLs9uRSCa3di6BxsgCQ3YYVgXBVRLBQkCJmYBLJxYipJN4RIkGymDlzzJTZpFIWQ5iB+Nt4stYMVaoIvxDB7eAUzxaW+o48rJAVin1iv1/SrlXFbgnm0bUvmfHdBmgaQQicdq67nQvZcXOyd51JmEqLCMA2Wty0mRINlekvQd5FcOqZxoAjWNjERPcpxlI4YbxPiKXmfefO113nrtbc4iYWzV1/iIx95kZjM1CgCkow/htp98jRZL1XL3yUCeTJ4rh57JpdMzsX2F4sAnqLxhlK0zO8p9igWs6cEJau5dmedDIQupTQzF81AljJJZbbVODjaAvDGIFQzyBQgZm3RxNWktJN8C4NecHKn4/HbXv5ClI3DwOuvfYUXXrjHo0cP+NDLL9P3K7tXM/LO/y7hx8WTJ5AL4zDQrWsohXquLQxKHtBi9e1CYM/oGpjIqk+MY0Y00oU1l7srUrzF3bMX6Lv1PC6Baoqyudo8D8XrsbRvWFT30oRakEAJ1telVAAfcfs0rvChBMzzER8DQQjFxodBt1kDUFf36vWb5aJrchaCX9sL8dbTeUFXTYqHSh89+JT2dRa2s1JNa83mcxeaHnWBfmiSqfwZ5vZDZu1G643Xy283OcShrR0P5fwByqkVwkT6EjjofHrtm6LLR/bdlXiu1/HEAVB51laPHn/60QWQgwp49Hq5DeDU74sy6nXHt3y3bXHJsg7v+eGOKlhB7rXzn4N1Fs3/xw6Gwrufcrj97M/+LH/hL/wFXn31VUSEf/gP/+Ezz/2P/+P/GBHhv/vv/ruD/Q8ePOD7v//7OTs7486dO/zwD/8w5+fnB+f82q/9Gt/1Xd/Fer3mox/9KH/zb/7N91tVwEnKDnRsNejeXAT3ajEX8YC5weJagFDUVuDZtDhJIUr2FbPxLHIGnPNjqRawgIOlmsuKRyO2wadqORfE0EvTDrmsMDW5q+rn9Zy4aasQigGhoO7dhM8aISKxJ3ZrUreCqXB5fsHjxw95/OQRV7tLhmlgyu7OXUoLlrhKHaebE05PTjg5PWF9ckK/WpFSR6ju632i7xJdisQuIh1IVMMgAVvFhokQM4Q8C4FgUXmCx4QpwUmf2PpTnd9kNrNASJGY7H7SdYQugVgy1Jnf0xP7LbHfkDYbVtsNm82W1Wrtmb0jISa6bsXJ5hZ3zl5gtdrS9ytOthtun2452XZ0EfI4kbNlV9di8W3GacfVsGM3DuyngbFMTJ5w1RJpRltYkQkpst6s6fsVEi0v1jgqT64y7zw+59Gjcx69/g754ikv3jvj7PaZ5QpLyaNgWz6tmMxkZQAv+qd7DYlpDLrkoQlMYUeKwmaTODtdsV1bWoi+My1UDJ2lghAxTlc0DSdBjTsVLbGsOHm8/YEJqmI8qOKmLG3Cwd+3hxNIXSR20ojsFfCKWJydF1/aEmMFLzbxCyb0N6uO7ckGVWWaBqufn1HJxDP88T5TMuePHpEwPpKirW5tU2UYB8YyMOU9ymT9HkGCEeFLCQiJW5t7vPLCx3nh7odY9VtqnKj5b97mfHaCs/btu4iHDIhmEhI/V5xk7dGkxQOoBokW3VtMA1u/G2h0DWe7fqkV0blOUnGAk9RZYJIFojmyaB2CiSbXahsuBP8CZMz4yQqro7eapA/l1RJFN5jWjiyPHx6d33xFWHLQ/nLwsbzbNYl5dM613xy+3eMyKpC78aJnln/tKTDupu+RemS+fs7H9+yylwldb2qO+v2wunLjM7+X7Tr4YR7Qf9hCv063963xubi44DOf+Qw/9EM/xF/8i3/xmef9g3/wD/in//Sf8uqrr1479v3f//289tprfO5zn2McR37wB3+QH/mRH+Hv//2/D8CTJ0/4s3/2z/LZz36Wn/zJn+TXf/3X+aEf+iHu3LnDj/zIj7yv+qp42H03IWUtZFzDUAqdmBo5+MRSdF5ligZqDFit6madV1BFIS5WX1FBxbzAcikkVdfuBAdDHLilA2bmWCw16oosKHPU5jqBqbkYxyBoLpb8NJjreb9e0616E5xuarl48oQuBVIwte267+lDskCCJZubc4wWVXhTJyLTrIjiBOVgXBI3bcUoBnqCP4uAUNA8MUhGQjYg1GgSocUhqk5rxVjgTqwVX72Zdggxb6yawgARJARIiX57yvbWbbrVitAJkpTYaXO9t5Wn3VhCoO/W3D69R0F5cvk2EkfQiX4QUiqIZKaSkRCYcmyrbyVb+2BRoWvgQhVIXbK+FCOx1p/IbpcZd4Xhasc7r73N7vwc7bbszi8Zz885uX/KGBOTRDNjlWx1lUqC9ySqvvzSrESNBCKBTMyBrov0XWTKhRDg9u01ZydrNquOVeroowWarP1bUSaVBTFcDKgUi1Wl3idbTl1oQCe7ZBT1/Go4gVfENEDBwE4OwcyXTuZvAQkD3H9hza2zjscPBmrnDhKgFJ48vuSbvuVeC/qZSyEGcws/yOCt8/AY9nsuHjxgI7DZ3EGwhU1YrDxDTISYmPKeMV8x5R1FJ9d8Fbab+wSdOH90wY49ZxvTMi21BwYoSjN3LTOIV+BmPD+z0aqYlljcVGjejUvwI2bKAht73k5Sapb2ynUzj8Jc25saN0corS0cADXA43X0Oa5a6Oq5M0to1nDXpywstAs+71SBLbXxcX2JYTOoZTTCszbtVI3H5MpbZl+pNqPWZmwu/HNt5i8Na92gCTgyatk+Ydbmz1cvrvFn4Nmu6HJc5lEJlVT+LE7NdbOW/1hqcITrvJx6oO5rfDaXBzK/6zoeG9Y/Lmbx3HN9bnrio2tubGf79+Yrr93Uf4o/yvWr5lOXD/G129438Pm+7/s+vu/7vu+553zlK1/hP/1P/1P+5//5f+bf+rf+rYNjv/mbv8k/+Sf/hF/8xV/k27/92wH4u3/37/Ln//yf52/9rb/Fq6++yk/91E8xDAN/7+/9Pfq+59Of/jS/+qu/yt/+23/7fQOfGpyvzaDqoeMVRAoWVlXRZg4zDUMWIXuAwEBdWVVVs/WqaB6yHhbISMqNwKxm0695rHx2oGA8hOCzUPaJDQdFtcNX7pBKadOX+ASnRUDMRy2kRLfZkHrTJEgILbnnsLvi8onwJHVOJD4hdmsz6TmxtwAShT5GSpfIfQTtQDHyqOWlQGIxc0owoRvca0i0UPKAMBEp5tESQaLXAxe8YsxXnaorNXQhkBzY1NywQQIao903YOa5GOlPTlhtb5G6lWcGN8ESBELs7C/YarmmGSEKa1lxdnKHwsR+fMyQ92jI0BVirzBafKepWKiB6MH+Rt1TJJPLRJ9MkyKC5b9SSDHRpUTJcHE5cP5kz3SVKVMmj1eghbju2Jz27K+ecrY65UmxTPAaewee9p5KjQGTHOYIJoyL5f0KREJJxD7T5cTaTY2b7ZrVasVmtaJPiVTbTSKUMKdNiYHQRbqQ0GB8HikWUNI4bi44i7rHlvPbsOjGMRsJNwfr1x0ecLO2NQXJ1o+j53AzzdTEx19d8S/OByaFrrd31EngtS99hXc+9mFe/fAdtOwoujLuS5hXuno0P+6uLkhBQSfII+ZBmWEhsIMEVt2Kwshwdcl+eEqIsOrPGMaBGBKrLvFw95TX3nmdk/UdTrZ3geRcpzLnTbMC60wyzykHMtvClM6BDsV5U1V7U8whoQJcMSK0vfAym3/qfOSaIJuHaoyDWQxVEKitgbQBnipQ9ajt6u/aqMdRt1uBCyHbNC5Hnj7Vhb2JMm+LAw1NfR8NLMztd6idqPedDQ9VO9LMeczPv6hGK1GbhF/eZX6cdgv/q7HEnFEADQz5yQu5fLBA9dJrez0LSujBmc/hHT0H+9R20BsvXoC/ozINrMrRPY8B4HGN3+Pv9wCknrn9IS75o97et6nr3bZSCj/wAz/Af/Vf/Vd8+tOfvnb853/+57lz504DPQCf/exnCSHwC7/wC+2c7/7u76bv+3bO937v9/Lbv/3bPHz48H3VJxY1orBmgk9CASXJTDo2M1UGPOaMFqRkojBPqFR+j3N7MNSQS7bVNA2/OIo27VJNjYFaNOPsq2yb0zxFQynuimt1kkLTjmgBKYVY1JJJYh2wECipo1tv6HtPICqV32LCp2Rltxu4OH/K+fk5l7sdu1zNN8JUEb0YWIkh0KfIapVIq+jckUDfRboUSQksR6lYRm+ZmHRP1pHm3iNtBNp/Qssy31T3UidrI3oXEU+PUdXCChKQaFGj06onRjPdSApIl1DXWlVCuPF/OpAepLM3JoEYAut+zXa1IUqEYmbC1Tqx2thzxhhcOBkZ20ipmd04sJtGhmliLJbvSkKi682kGGNiHAqPHl3w8K1HXDx4xOWjR+yvdijKfhhQRpiumPaPSbKDYnyTlDpil7yVMpJAkpoVJfpzJkhu/ktdMl7Tpmdz2rPeruk8F1eKyfqpBIqIe3uZyS+mjpgS/SrRdYGuT3R9IPWW3iJ0QtdZLKESMSemmkLCxcVUYMzKNJknVw39ADXSwGw6k2QefzEYL+wzf+Jl/rVPbfj0N93i//HZf42XXn4BQiCmyK/9s1/nrLrgV7CDOdiVamLTWWfx5OEDYlBUMkhGsfFVE8XUST4GSy8CE8N4gZBZpZ6T9ZZpOgfM9HX33gucnd1FJLi32+RhJcS0jiERiEjTZdgnS7OXm7FcDUZNbR+qqaq2ZaCZser1ZuGanQ7qokX8e9u/MHuFA4hR20yOwA0zLpnVxTYmK1CimuPnoKqU0kpt8XAa987LqwDGgXK9X1tXVvC1uO0CjrU6VB7SfKy+Qp0fpN53GT3Pn/cAZ3mt5eDX4XGdr1z0lWNpfIRGvAJ1jmzH6+0rirtmGpPFeXKwfwaOM8D3wuapU9rFB/eTxb5qEpbjex82TZuPl/C9/l2r8o0HlkXJMx/14Odzyrjptl+L7V86uflv/I2/QUqJ/+w/+89uPP7666/z0ksvHVYiJe7du8frr7/ezvnkJz95cM7LL7/cjt29e/daufv9nv1+334/efIEaAod81BZjkRH+za3erfSQnDui6g4H6gs8ikFghpHJ2dLolBgTvRZx4V4dF8VortOg5kMtBSihkaao5q1sEEvGlrnqW7wdWYxIqNPDjESY2+cF9f0pGg8AiWYpgTzvhmHif1+4PLqihADq35Nl4yUEesEJGZqiV0PMSA5+1RPC4CYYiQkBR0JnrIBJmC01SqleQnNNnxtgzRTPRlsWVVKoQaKkxopUMQjBasLAp/q1cISDMOOWITQKTHZwFc8zUjJsyDC2xglhcjJasM4bcnszKRCR9BLLtgRKEwiHnNJPcgkHgbA5v6cM0WVVRdQSRAiqsLV5Z5H7zzh6uklW+ZUHUHg3kunxNWIdBNlPGd9Gi1dSEnEaAKPWLtNaJOthGI5uzRSsnG+OhGPQiVEN3OmtEIkMeYC0fp3LMUAO2ZyChJJKZI0oCGhk2kbQxZKUrSIJ3uFLIGQ3ZXdl8bVBRc1uSgFc2MXyy9naURowMVAkGn39oxcpo773/Iq27zh3kuv8ujnf5unF3uXbSNfeu0pH/3Ex1ucHlTdqWAx2fv+p++8Q4wgnSIho3lw8OsBAesg1EwpO0oxjg9S2O2fMOVCnuD8fMf55cDL928RYk/ORru3LPHhQFNATU5MXdhIAxbi9aqmYdtt5t+sSvEo0KHmmPOcdebOrE1wWZyf4l6N1vgK5Mp3afWxZ1xkBGxxlLyyi1AbpQEScKA64wkWzpULzQ/tgvk5q4s7bqqZzS4zKoCatdzMYlZTqbVsAGdeILbZt13P3KgVf/h3gVkjIm3afM6mcznt63I+ug55bnYMX+6tN75+7bKytR2X54hrvw4I1u155JkPI8t7VqsA1S3+4Abt/S+qsgAVC+TTrls28lGNb2qga0/6vnYc7X2XG/wxbP9Sgc8v//Iv8xM/8RP8yq/8ynUk+ke8/fW//tf58R//8Wv7ixYSscVdKJ5rsMaJqXE2aqqJiHXfXKznmF+HkosLKteRRglMLrClCLkBKW1u5xRFnfxsm9mKp2LpIURt4jIlg1JCIKPzS5FggpRgAEnEXK59hd13kRSNaFlTUxAEkpGCk3t6hdhhYX4mhmEihIyERIoObEQoKZDEQE/JkS5nSp4oOkENfBgFlYwyIsWPkREpTcBI0DYObdKf1zx1dVmaaz1UgmYFfyZFgRiaKzcq5Dyy38PEyGbVW5DE0DsAgCCKmI81WjoI0bQfnrU6xZ7NaovECXSk7zdoSeQJKANB1Lyl6sq6RHKx71MeySIkSQwlW760YmT1aRwZL6+IJZOiMFTBJLC+tUYZCV0m53NW0iMhorkjZzcJJXvekgvmFCdWdwqxS2SFMilREj2BacrkAiEkhMhULNjmKnWmhyzZG7KQJZvrvJg2ToORnSVam6lrGccA+6mQgqLZMrRTic3+HqW+HzXicw3hUD3EKl/LwLcDWwqPJLM5u8etdIcnV1fsh5HVyZYgka7v+PwXvsrLH/0G64tuPi3ZQz7gcaKAabfj8uHbvPDiCamHEEZEMsN0RZ9WGAnetIhFB3bjE+P3lImi2TU3kVJsLL36yiuc3b6HSAKELiYby9QEn/OYbfJYD4WDtUc1O1QtkDk3jJMl/w0hOIeq+Dit0tiCoYoH+gu++FLv/7YocI8wjPuDGhiq88EhWbkuvnQBhKyO2Yk1zQljaVepJqUqVJfPtii7+tvVhcwMBF2UzWjIwUEFSKX2oEPB7wU0EHRNXTVX8dp36s2XYlQXj7V4vmcI5YbbFmDwGghYgK1DXHATTLp+zbP4PPWd4ybmGf94X6tI1IHkNdvb0XdZlK3LnTdhi3bdsXy+9pAHj/V+thtvfbzzGPD9MWOhf6mmrp/7uZ/jzTff5GMf+5hF+k2JL37xi/yX/+V/ySc+8QkAXnnlFd58882D66Zp4sGDB7zyyivtnDfeeOPgnPq7nnO8/dW/+ld5/Phx+/vSl74EYKtvNe1CcdszeN4i8fVTKagGRCKl1FxMoJot23hb8XqHrepfNe8vUW1UALPPm1bIyIA2gdW8YDTkb/eQGF2zERGNHjzNjlcw4OtFT2ZpcWxiF83MERIxJGK0/FkhGB+l7zr61ZrVakvq1hZrJ1sdhmlkmPYW1E5HiqiZRWKg6yP9uqNfJ/pVpO+g78ylmzCBTA3oKJmimakUN53BpMaROPDbEDdfEG1l7wBNohWswV1y1d5H0eCRgeswNu6F8WKM12H5wEqbuIOoCU8XLFnNrJiLUDQg9HTxhFV3Qt9v2G62bLdbNps1q1VPSsECLLopIibztlKd2E87dsOOaRzQPDHmiX2eUC2kUNiuhT5WLhgogbO7p+SgxFUkbYS4gmF6ioSnlHxByXuyg5QQo5mKohKSgdquN9NWSskI6Knzv2Qaq5gsDQhCSD1dv6LrO+9rBZVCLnumvGMqIxkzDRFo5sv1ujMzZhdJndC5a3zwQIupE7oULIZTsj8EM00uuCKIBUA0DpitFsRBXHGuXFYHAynx0kc+Sug3TNLz9sMLXn/jbZToQl5abrmi2UzJKBdPH4HuURkRGSnsUN0zTjvrD2pAdMwDF8MjLnaPmiZIgClnYlrTdRtun93llZc/zLpfU8pkoJl5XIIyFXu/TRPRhLe0MmW5z/9DhWEaEYQUO8yN3UxelRRevbuCE58lzOYsAx3eDgtTV3BNVFjUc+n7VJPg0p4AN4m7xqBpcmyrKUtmmpDOY1AX5O52rbrW6NBMdhjvqNbrCOA0QMY1U1sDasvaHWlAnverMVoaVpKDcw9k7VEJujhv+e9y//OW79eO3XTygTnr5gtqwM7Z1LW4xvvfUo8w97+jcoXGt5JajPCMeh3vfx+oY7GYPXqUg3O+nrd/qRqfH/iBH+Czn/3swb7v/d7v5Qd+4Af4wR/8QQC+8zu/k0ePHvHLv/zLfNu3fRsAP/3TP00phe/4ju9o5/y1v/bXGMeRrusA+NznPse3fMu33GjmAlitVqxWq2v7q3moEJ3siZm0fCVS2sB0QjF2TkTIlQOEgRtD1D7UVEyQYJNLjdocPAhH0Fk4LAzgCErCAw76pGHq8RrnQhDPk10nlZZTSTGAJMmiBlfAFNw1NnZISsaL6XpSl1wgrizGS9eZZmocickMUxOBLnTEYKaWUOweU1ZKLGjp0WyxYAoTwoQyUZjAyaVFlawWKmAqxc2DZoKweEmWc6yUYpojdZevYC7RivOc8kTGPLuSJGsPacwKfBZ2EIpxTUoh50KIJvhCAGPaFlSjr6Ks1UNYU8qOqewtuKEM5hmWAjJFj8lUJ2YTUpo9Bo5CzjBMe1K3YsiTxdDpA3fvbQjDwP4isx8AT6GxPlmzWa8R3mA37VihxHBFkp7dqETWhGBxlkTN20uCOmHbPds86nFBKBLp+p6pKE7KMjf6yvFyj6px3KNq72mcduzzjn0eUMnEQIu8De5lpEpvopapmLu7ZgNxUmY5JA56TJNh+FUWoMfub6k4CCbsg3t+d31id55Jq56Ly4mzey+y3++5Or/g1379N7lz9w4nm97KxEjm6v2KUnjw9puIjOS8Q6VnnEZ2uRD6aMDHTa9DvuRqeMBUdsTUEXJCmUjRuVAlslrdoY8rLi8eE0QY4soXRWY+HHOh73q265q6grn/NbOC+13JQuvg8Xq62DuxfzbnVjFgcY6iW3vNASJQKDXwobgpI5gWWnwMVLJvZRrlOhNVDYFq01HNBBuuYQmlgpzlsVmF0MxPsoQAwhwkcG6PpgxRI23Piz0aaXupnLC5bNGe7dy6IGQWmEuT23Pgix7svw6RbqrDsqybacrzc881OIJJVWFxg6nquLbLeuCamZuysh9+ygwI/ZoDornft7bjdWvZYXscg77rB55xxvVm9f3CzZGy3//2rFv8UW7vG/icn5/zu7/7u+33F77wBX71V3+Ve/fu8bGPfYz79+8fnN91Ha+88grf8i3fAsC3fuu38uf+3J/jr/yVv8JP/uRPMo4jP/qjP8pf+kt/qbm+/+W//Jf58R//cX74h3+YH/uxH+M3fuM3+Imf+An+zt/5O+/7AUuGHAqF4J4VSvQgg/a/tAzgooGsmSCV8GfgRitgErfdayFgEYULFuiwRr2t3CGz1gcK2c7FvHdsUeWRXGMkhOSgya9TzLOoajJiZMo2zRXUgwf2Fg8kGjG3ix3RUznEzrKpr1ZrUoz0fUffr01IuleOeHwdwLgm5jiFxTcMfo4whUDJPsl6HKE6zispFzKqXj8XksVjGVVit8UNsnYVsYzhirrJJbnLvoFH40YVpml0V//OyNQV/KgBHhz01NVpNWm635ybDpz87NGbTV0R2O9Hnuyecj6cm+dSF5HRCORVM2iOcwE0EoPFeMolczXuuXUrMg4TF9OedR84ubsmT3uuxivGSxN03aqn63vuvniHt774ZeJqglWEtKNbnXIxXKLOlRFZEYNr+jQTNADR0oskIXWW6SOJkPrMqqjFI0+J2CWLARTUCMUSgY79ODJOA7kMTM6FCUEJwTy/JHowS8dQlfMRi5HrNeAhFepIEs9aoa6B8DxZMsfvicFMXTXYZIqmpehSok8dwsjl+SW3zl6x0REiqes4P7/kC1/4Iv/Kt36zBc90zy4DP6b1efzobcJKkKRIyoQU2A1XdGUATEMz5T1X40P242Ni7NgPe2JKqEbGXAhhJEhi3Z+yShu0zxYaAuHi8ilXu/8/ef8Wa92W3Xehv9YvY4w51+W77G9fale5ysQkdiUnjolxsHWsBAPCMhEg7AeewBJ5Qg5IsRRxEAgRIBjygsQDygsiL/CCkJAgUhTCRUASMA7knGMnseOKy1Wuqn37Lus65xij997OQ+t9zDHXWt/eu5w6cWUztr695pzj1kcfY/T2763927+N7KeM4vnc259nmVc3cTvaYL8GQzUYrsqcE8EFQuhArTacPYfL9AnEUyTXgsGy6Gm52pGttp9QMxyrorMBomowWdlbrZO7egbVYxPdCh+bB02PjdXywcBcoXkfOAIei+FvHglVWqX6pR/WKIg66aueigVGaJMqOBjwxZ4vFvwBoLLGcMrR9R1dRmsCB4fGet3RaWqftL20AUkOQHN9xHvhrfZR9eich3uzgkvtZjWwUDdct+8AsQ5wrEl9LH2/AieH4y6de3yw+kFW4Ok+OHqg477ddR+7y+8EpPl0y7cNfH7pl36Jn/iJn1i+//zP/zwAP/uzP8uf+3N/7lMd4z//z/9z/vgf/+P84//4P45zjp/5mZ/hP/6P/+Nl/aNHj/iLf/Ev8nM/93P88A//MM+ePePf+rf+rW87lR2oJR5qAcBi5FtZlJM5PA1aixyCDRarh19L0x+xG5qpfJrcvDEGKErRhdxrBjrTeC25avIYr0ct9drZrNtXgq6K1GwzxeoB1ZTibAJ0pqXjFiPjXcvaqSGRaMbWjK4V2IzdgO86e+mkLOJ33jlc5VV4p3if7MoroBCMn5DqzD1nAzSHF94IwNLIH6VU70QttVBz5Zv+kROxNHUFE/kRxHu0ZqGpKpoNSFl1+0KeMjlnZjEvRRvUzQ1fiZ5H7nmFYsKKUI0xja1hnqQuBHYT5LSn5NE0WJw3cT9f5QmkchicIwgomTnZeafJwl6dH7jaXVp+UO/Qk44UZ1RmrLI67PfX3O6F/nxDmmb2+5l4Ci5MqDir/VUmUgbxvfFBtHoNERCr4TUozBnmklGNiMKclBA9IVQtGCkGZrISgycXz34uzHkml2QDewuZ4OqzqOSSAPM8eK/WD0rV82nhVvuvzexd7VsqMdc7t3ib8FWPSA5yBN53BDfQhcIw9HhRnn/4Pl0/EGNge/KIr/3WN/hd3/s9DENYjG8z+Pv9nv3tJadbcIMBh1ImxHUM3cY8PfOerIlpvqTkRPCnTPMFfe/owhniAmmeCQS8eLrYo6Uw7q9JaWYzbDk/e4NxNrB8uj09NiyLNXGLp6WVbmicPu985a1VU1mtYfPSLMRlJ5a6L7XP1HJFLZu98nyWMJ1UHSBZ+lRzY9wcFJvX4aXlFeUQyuLOP12Ne83DuexbJ3mLhsw9+9WMegU5tVcqbjHQYTPJCjDqPlJNevP63EEMKuvQ0soDsQAFuX+VdwBEg6ULXj9qdSMGr3uJO5/vH/PuFq/zEx165vDlLh458pwdXb8ewKzUbdrzc48rdAA0h2O3/tc7CgSHflwe5wcafwCEB+/6A7f83l5HLfsUOOe7BQp928DnH/1H/9EVGv7k5atf/eq9354+fbqIFb5u+cEf/EH+l//lf/l2m3dvcc0gYiGmpvGSVUlF8biqlkwVBoRW38aMLMtAocX4CiowLyDHQIIHEAM1IoIr5sFo4MVoQVLVmdvLZ+d0aoNnqwJug05AsladFxAxT0JwJkjoKydAjJCBq56e0Hd0/WA6MzESonmDVIzbEaPQdeYhcE3B1+dDnNkVnBgDXFwTGnQ458gl1CKajqJmgDLGxUi5Vj2vBTQN/BhAyUXIOHx1HxjQEVNm9t7ABwfCeUVMCIWcFBn34CvYCw7lIBLpSs2609xGa1QrwK0AxkizCVElOqUPniFGdpOSHLjgCZ2iOhOiQIboI84FUkkVaGVmjCvy6uoVX3znS1zfCjfjDi2F3Syoj2xOPfvbRCmZR49OGedLSDM+eFMOz5nOZUIQ5mmmlEAuGZFE8JX8rGqZWUXx0eFcRDL4HOq997hxXk06W6aP9V0uaYkYpJwoOdfsMQMvLXykNVNNaYKUUkF4HXTrNLGUatiwUIWXdiYIYtMKy+Qy9WnvnHmwxDwc3m+I/gQtEyklHDNMV3S9MGwGxnHPfr/jq1/9Db785R8g57To+XjvePHBe5Riz0B3cgZ+Zs7XzNPE8LTjNt2wn2/ou4EpXeOJ5Gxhvq4bCL4jhIgJETmub16aV00BLYRazV3xKJmUM4uK82K8jg0TC+ixEJN3vno+muRpowLXzEytOVRSv0sVawRELYPyAPjas2uTDqt7d/CvrMeJtTdh7X1oWlm6WLpqKJshbtlgC4BYezXquRpGWY4v1ejW1dV2L6BlCSs3D/oaDFUQtFzHwWTb73YyXU69sjF678Md63mX2dOWO66Vtfrf8lnXWz6w27GtW/XOne/HJn3t8VivuWv4j5+p1g91rxYCXAGkI0fU+nj68PEPuGfVlgfQx3LYOx3xUB/cucj7B7l/+Nf8/jsHgz7ztbqMJpGNNaNW8NxVA9kE6gEWadRSWKBMDXshLX3dBreG2KUUvFbeg2KhizqYljZDqU+qq4asaNPu8AjBjJGw6HZ4J7hFxKTg6wzc8JiVTRCMEGlhr0AXe/PyDANd7Om6biHCOu+JIRp3xGXTcgkOF8BHq0AeFv0cAxClegF8felyrh1VqCDFI1X3iGJeolwymutMpIW5pM5zXZ29OhOJQyqhM5hAYjME6ursuVi2mNVdKlbXKs242aGzg84d0nirl0mLULJxLNrs5zAqtTmgkVX70DN0G8J0XQvGChvtIBcmtay5PpgW0Dxn80qFavA1k6cd87hn051wfXNLmgq315nb65nPvfMmH37wktAFXHTEvs6fimPoN+zmW9jf0m+eMk4Zpwkt3lK4XTYgK86eH2cckuADLhtYnJLFlUoppquTEikJuUQU0/NxAqWYtpIuOlIG0nMxcU5NM2rKm/aeIFQerrW3GUI1m11lLNtKe/6rF6JNJsRV74BU4+18LXTb4V3k5PSMYdvz4qPniHief/ABz+Y9SQIU+NY3vsH3/57fTaHqbDmTf3j+wdc5OfF0G0e/fcx+fs40j+TSIVIoZSKlPTCiOuLDlleXl4iqqU47JefRwNA0wbzDZ6GLG7wYJ05ViD6ym/YGopGVUVom5SuAUT2OFXg75476aPH2rLx3BocMcGVaZqfQhA5FrSSJVt0A1epdcmIaXjX018Jejetj94TFC1ClqA5GsmWZtuFpCXfp8mwsB9HDX5XDfcYE6Ov7W5+XFQBqBnrx8Czehwp+9JCWL3UDO9aaos3xAVbLffhxZ9HX/P4a27pmLB0lua3+L6vd7/5lfS0Prmi/yzLmtWtrldgbwJFVA49A0brx685dzmN7HF+DHPpU73pjDhBt7YpaN1+Ptr0L8+4s6+v9+2z5zAMfKx3hUdElNTxX963UB0/bbGYZOGqlamEJ2QSpOi+whMhyNoJ0Rg+x+kq6TS0jpO4jJrVigyXG47Hwk4nnueCrATF3eFBFnYWPyLO9SzUV2TlnOjL+IG7XDQOx6+m7ga7vrGZTsHT3GH0Ncwk+KjEIPoC4bNo8XjC/VMJpXgqrNtKx04M/wSlWXNEdNEVK9W61Mh5QjZZwmMGJ1hBhFXEL3mqBeb/wjnIBTdlQYpbD+JELmjKaTLFXExCt5pL98+YZcqWSvQ8Gi+pJWwySOIKP9OGEobtlLrc4dXTO1Kobt8WLHdM8eG4p/TGVjM6J8eKS3/V9v5/3vvkhN9cJHR2SBM2FJ2+ekmWmaGKaZ6Rkgodxnhm2T9inHVES3guqswGW6uVqUplgADuVmSF2NSRiAnelZFLwRgbPiWlW5hStlppzte6YVWVXLVaNPpuhzfUxt+rvVdBTXC0/JTU7UTGPABTXqo2318PueyMhN+PQxPoM8FSuj4uE0Nl5y4Q4ZZ5npl3hS9/3/Xz913+N+fqSzgGhZ94Hdrsd3dAvE4Zp3HF784rzR47u5IQwbCG9MuDrYMo7Uk4E75nTJbiC88ZrS/trUp6Z046cYLef2O8mQtlwEh9RyIQYKMWSKJrw4rA9W3SJam9wmNcfTGNRk6YIztdsTlYzd+sw83C0sJQBGQtx2SRMKqhqEyxUKoG8qT5bIoS4BpJairv1/BKSaiTE6sVpBnkd0lpATnMF6Z1tGgSRY5Ony3UoC7JFq1fs0Eu66CnJ8v610Mvi8V536hJKU1ie+eWk628r86p3Pq9hQ2vXAfQtpr6Br/XpYaX8DEc7LudYrm717dDPa6wIB7xwZ+vVM6RHK6xvWj/UAxzFx47b11Ld9cH19U8bdOUOAfkuRrmD0daLPHAdD234kDfo7wcY9JkHPi6pZXA5dyAo1wiww2ZCRqJVtGozuzowZOoAUdzh2dK6pxYQb54gaeOJVlBViZ+17ESuAoilsBBEndMqDGjqvCGYnoiKmBclF/vrinl7nBBcTX0PvpKZLaOn6zqit0KWIQZiDBbico4uBkK0QTT4QgjFhP88OBdxXiuIqYrUWmwAc6BajPQCy/RHsdAVVU5/IYGXWkx0NRCLzzW7x9H0TnwwcUHnPTGG5cUtxQZ5H7wZ9rScojqiFE1GevbZo5qw7LBG6BRy8Uj2iJjxXxRv2zBZxyonkT5s2MYTpjwxp4xzgRMZcCEwz4k8F0ZNgJXWcNUjEp1HvLK/vaZMGZcjNy9fILMjp5n3v/URv+8P/R6eX3yTqcx0XsjqOD3pGG+umYsndlti6PFngevr6ZCOjZhHQOr9qJ4dHHgXyLng8UQfSbEwTYU5zYxjIe7HGsoMi7uhlELJCS2Z7BRNipRaDlSLEZSD1PTz6gFdwmZCQzviZAnhgizZXKEC9VIBka/Kw6Z4XrWlUFLecZMvLAvLKc/eeobvezbnj5BdoSs7XNoz3wj720ti/3QBqhevPmQ4cfgBiibG/XNAEd+RpsSrqw8pbBj6c/ZzQkTYj7eomt4TkrjZXSI6ME4TeZopM4zxGkJmnm4rybqzZwZPDL2dvz4vdyf1pT6vBStd4mtIVRowWImzNMhD1fNawlRqmj7FKa44CxVJ85KCiI1bxYlVbIc6UWLxiEidsB3XN7MN1nQEreDmOH2dIzDUgMQ6fLVYWDkwORaPYF13ZNQr2GteDlkQwV0QSfVKcFh37Cr61EsDC2uO03IKOPpVWrtbmxo4ZXV9R9s8cL72/wZS2tZHIKKOOXIAlettmtfnId5Ou54l62u9btVfD61fX/g6JHbE+XkI/HBnm+/EskaD34XLZx742ABi9bG8eDMounqQqjBhaaEQtYfWLQOEPRnKgfSLUgVda4HE+r3xidosR5puj8iiSYNK5UsYPydE0zsyoT8zJJlKRnWCy0pAQYw3EWomT4iRGLulPpN3QgxWxLL9c8HRBStTIK7gZcYHh691tMRlZJH/b+g9U6gieJUMXlwtrYF5f5wY2HPiCS6SnRXttJe9kB2V5OpwQRFfC6rWYqXqXa3PZTNZpwejm2vIqw3ILVxoZT0yLvvF8NS7QtFEKQFXYoVvDrcIR67IftWLoQredXS+M0+eNxAQQkRix36357aMledVliioCPgQTY8pel7tXvCFL77L81cfwJSYd40zk3j67JwYzBOQtJi2i8+M0xXkhA8D/eaUohO7m71pzjR5ApFaR01wVbbAV49Cytk0HquEAQVSytyGCR894kyEM5dkmU4lm2JxVnyoALIZnegoYvXBmidH1ThlyIGjZh6JNmJqBTfuIL9Qn3HnZFW41bhhpShT2TMXmBN87nveJI0RH4Th7AyNwOTodjfM40ied0zTLSGcICgvX75PlpGZwvnJQNE9sYvoaKrp05zo+g3D8ITr/QcoAaqieKiyDrud4nxHKRM5K6Ek9rcX9KeCDz3iPDnPSNpbaEz88cxfqWFCyzCb54RzrmpnufqcHrK9bOA5GJMmgtpCW4vRpXoipc76pWZvYVlzutrePEDGPTKl51wPY0DhiLKy/DN+Vgt5rAHQGvTY5GFpNg393PX0tB6x1QfLKnXsaB6pBvoaDixo9XUd4OOBQtu8Hu3v+rgLnDzciNWihzMvx3p4OSCOBW7cAQD3AdInLK3rHnSX6Oq3FjK9s9FD3p27h5HjS753qvUPrd/bD8u6NcBbtZnXbb9cXtvwsPJOO/WBLx/Xb/fWfaqO/v/P8pkHPhaDrwO7mmS86iEzpSmZ2gtvVlHVsqiMr9JmL3WAB8s+ag+NYllfZvNtWQ0spe2jClqFyiqPwzn77IJV5TZ+CigOrdkbmjLBVXd38Ljo8dGIyzHGKhTp8V0kdh19Fxi6QAiOEBx9tLpMVvrB0pacB+fUQlqqCAWVTJHKWSAhmpeR23gGYBWoi9XpcmpeNG88Dq2gp5hKonGQBIq3+l4lglZlZOejZSC1IqjFPGAWYnTknGihFuEwc1QMYJZkANW4Du0+WHsdugjDHVpv96OJshUtlGJlK0yteqSrVe19sRCSjOMyC8/ZOFfRefPSdQFUuNi94o0n7/L42Rm3FxfkPUgI9BtBxZtQoOtJBHJJOG9grOQdKV/wdPsFUlKur26IQZbaZGZrCjkbIG1EX3te7RpcJQ+XUphSIu0zsYPgihGny0gh0eQYrPim9ZU4RbwYeboVSVXsOVjNUNs7sRiF6s2rDh0QC9FonSx4KbXvK9jXwztIToh63nnnGb/81/8O4Wrmh/7hP8Qv/eL/gT95SqeFc+/YbDoLi7Hl8uIjPnz/m0iY2PhA6DzDsEEJjPuEcx0ikRg2pDxhkokWys4lM8QtrnJlUiqm3n16hstCnib2+1vcpmZ4pZn9fMlchDnDZnNCcIGihZSThejShPfRyOVioeljAb+DR8TGG1bvkCzvtoHJWhJGnVVur2n1glgWZ/NWSs3yql6dRoJe13lq4TL73qYwh4yqBfBwDHq0vVflYIfbb0tQajnwCoTo+nyHsVZpWbS2ndl1XWzsgbNyeDZsstRAko2zDVgdeWeOoMn6jHXb5nG54+1A73Nojiqe11/ljufo7jkf8gLdz+46BndHR1k8OnfQzNHusnDD2n1YH7u101bJ/fMfuZWOmrF0zNFVLNu373cywj4VMGkd//HbPnjJn/4k3/HlMw98UChZrCYVdp9dM6qOJYau2uLVhl6kau2Y2K0NEqkolp9UCb1YXacFIBUbwNosbIkpN2NSjbSrYQDTYYlVD6VleNT0dhXUCck7qGngLnh83xthNHbEYPydGAN91zF0gU0fTfU3eIYgxChWANPVl1ew8FYdIMXZ65opluTsFClWlqIm2ZqYIyBi8SeRbNlfriy1GWP0FBcJmig1w4sguOwI4lF1zDvjKuHEKr/XVHLvZOGceLHrNIU8AzrS7ldz15dCyZmSM66Y5o0J6lXuiSpOAtT6V6X6blzVcjJdnxnRQJCISCYGCxUKES0TtzvLgqN4tChJM7MqAWuzouznG7abLZ9750t85eZXcBuhGzy4wmboOT+NfPTN34IyMTzumMeZAsylMM63XN88Z5qmWvg1MPRb+mAinFMeKbqHzALYTUIy1XCqIMFCJKkkSLAbhS5K9UxYuYbGclXVWq7FPEIiahl63oCglGpq2nPIYThqpn2R4RN7mL1Rg+qzY3tpKZW4m03OQdLh/vhAGve8eP8lJb3kL7+64B/6kR/hK1/9TZ7+ri9zfuKQ2FFU2e9u+Ju/8n+S857NVggxME0jPuy52U90wwlPzr9ELh39cMZufGUAoFjmVkq5gmEIoWOeHF3oeOeNL+I08vWv/Tr7eU+IM65kNM/sd3sSAZdqnS3nWIqxOk8fe7xrBHKp77QsnbTWgJPFGBwMSzPyUq3bAt4BqeUrkDpJWUK11dNjkOiwL81Tzer4DeC0drTw1irDawV6jtSctU0tDh6Kpmej9be2oWsgoaGqBdI0cFTHF60erQaUZGnWMhYeAl6HtsiRMbZf70OgA6g7WvShLwcgsExCD805dry81o6vjqWrlt/HJvVzRS8L8uQ1y8NeH9t95S26C2qovd768R7Yq7/fa9Ohr9v2hz58uC0PXd8xlPy7Wf7egx74vwHwsfBGWd0z4+toqRDHYlL2kpbq2hUDSl4KE8qczZMg5TBbaVkvpSwRfICqQdNc2yCV+OvrTLSRgqnhnjajsxTvw0sJimtuaucQF2ol9qFmcoUqThjZDj2boWPoI30fajV1IQTwQRHfZgoWuvGVxWG2ysJBpuxSQ3dimXAGF2qGiwpOCx4lkRAq6PFVN0cx3pHz9WVSNAuEes3qyEVJ02ycFmfijMEbJ8fqQ1mTnPdo8OgsqNSim814a7EU+lzIKeOzQ9SZUnRJlNxMcFXVw4JVqsZvUbSqSQtFTQXbNEgKwUNwjrHzhFrKQZRKFq7hOIeBJwUtiReXL/j857/Eb37z71iZA6e8vH7Fs+4xset4+93CzW3leKkN4XNSfEqUcs120xFDQLDsvE46pNYpm9JYZ+G1BAemu9PKYvga4mzcGiMRz6QyktKEUlPxoapn23Naig2LXqzqeqZqOS0Gj8Y1reGW9tkG0uZRC76n6GjPuJrnZ54LXVdnpw0y1fHZh8hXfu1rUKzO3PXFcz765lf50hc+z9/4lV/mh37/95M1gI48//B9crrl6bMN2Y9AAAlc3V5yu5vo+kf0m8do6diPO6Z5rO+ir4ZVmdLO3i9M02rOMM6FzjtCt7V2hYBKoODBR8pcmMdbpnkixo6zkzOGfmvCj8t0ez2+VBO4AMxVLs5Bma/2hxz6F2rbXJ1YWeKF3vPsVDJ0826uPEFtmwfgwNFne1bbTdQF/Bz+CofClxXocAAyC+Q42NmjD035ue3TPEcq7TmQpa/suqngQY4A0OLtWO2zGNoVFmorjjCHHq+55/lZHeQIFNTz6sNo57D93eM9gA8eMuEHiLUGG0dog9UT8+AxDs8TxyBy1eQjL9Zqhwe9QrTn+HA/jsDPCmh+VpfPPPARoaaQKjir7yTVcORi2USiB7ewAK2qd1Mj05oK45pw3jKQHNC/MYQOInpad3cYYbmozZTMk1NVeSsxUqr0rVWNkKp0rMss2QOxrynrXaCPgb7v6IfAsAlsth3D0LHpI0PniBGcL2YUfePyKHlVVLQBPON7ZCs6WpnEsrirjSuxqCqr1lpclV8gpq1DdFWQzZnKsvQIMJKZxcJSRQpuTviUSDmRtVjWmfOoD0jxoGMN4zhciGTvrbqX6pImL1pqyE1rXS7T2DF9lGwFWMWkCEzvp3n0EhQ7b6plNgSPkw6YKXliTjuKm8l5Qhx0XV8FDPc1c89Cdd7VQUaUl5cf8MXP/26ePXuL9xnRUri8veLsZINzj9nnGfHCyckpRROX13ti3PD4yWNEEsOwZRgGXr28NQ9N6GmgwW6RoJopxVWvWHu+xAq0xo5eQSJEb/dszokpTxQy6qpieB0A7bE1YyeqUEtTFGf/oohJDKwH9mWmrpiGk/VdkJ5JJ0SgqJCsaq/pOxWxe4FljgXvuXqx46MPXrLZbLi9vmboHM/f+y3EB05PT/mNr36dj15+yJtvbSl5x8mbHVmvrB+CYz/eUMQ8oCF6Xr76TWI44+b2htgHA+ulIK4nhEjOe4KPtDT+4DfMKUPJnJ0+QcqJ8f+KZVn2mzNCV9iPI7ko0Qf6OFRV7WqglpoMeuy50KWbFkNk6egHn4xKS6gQmtfGwKGrnB4WLRwjm7smnQNHAKiOVNLGrAYsjjHJupaWIIv36sgUNgN4Bzi0trI63hH2WDw61gkNTAjNAMsyOWxeqLveMVnGz2qgVyD7AKxWnXf8y5Fxbs+3rH9cDH/r5xWUW851TGs+RhRymMStzno3nHXULasuPdrmgc0fAhwPHvYIy652Wj7K8v2u5wqah/FwjMP6w4GPgaJ9Od7koQs4PsbfNVD6e4i2PvvAB7EXVNXEcMTMuWlliBnT5X20jBSHCRyaWrJQ2uhYvUJrguDhmaoDE2Jp6FXTp4GhXNQE3pzHOUf0VmzSeyPzemeESuNOBNqo6kRwmBJz7CNdF+j7wMkmMmx7NsNAP0Q2Q2TTCbGD2DlL623gwCUsiyejmiroqbPLlsllrg201j1SMqozWuZaj6uQijKXQm4u7ErGDe2ddVQAVB8ryag3EcKgia4LkJU8TrUelVtKKKgP5Aoug7dQXfahelsyDQw4ajsrqVmcKf2KFrwrRIfxV3CIRDPqYh6erKZTJGKhixAinQ6kMjOXif14TS6JfQJxHZtuyywsnJFU5mVUEyouLiMvX32Tt5+9weXNB+ynWyQrlzcXjPMZm+2Gm5uRl5fPAdODUk289/6HvPH4nDeefA7RyAfzt0j5luQ9JRV24xXbzZb9TsnJwAXFQKsBVE8IHf2gSAyIL3hfla8pzCWTtVTxzGZUqaHN+sw2nkcxTolvg2bRpiawANyWbi2qNbU+k9PecMASPhTEl5oBRn2GEqlmt/2dX/sqeS5sz3u8V3pfcPNIvvyIaTczTpndrePZsy9wctYTtOfy+hXbzSnOwbgfEdcjvuMb3/oWZ5sz3nn7hH5wJH1F0YmiA308o5TEbrohRmHTnZLGzNNHb3I6PMVLrGDBst6udzcUFYZug/eBx+Jp/LxpHplLovPRauGtuDX1xefYaDa7YeGeo3n9CgCoNq8N1cjUpAdZiZm2v6t/xx6fFh7Tw++vGwhbrKvO1xowWi7hCPy03qng5Mhz0KzrAXgdgYcFDB5O1bpmXXvKrrtNvNq+umSV2fAnq15dwZbW7iMjedySFfo42sTulBxlQS2eqWrEVY6z4upG970nR0jj0M5PZ79bS44foTu47TW46dAjB+/Z4QJfW6bi7jnugp9PbPfx9X7a5XW46e8l0Lm7fOaBj6pHndTK6PZvKRpY39/mFXBSq6irBYV8lY63Ap7rquPt5dQDwbHGxEsLp3BQcTaXbpU/dDV93blqNJoAnL3orgItH3prZ1Uh9t7T95FNH+iHnu3Jlu3Jhu22Z9NHNkMgdlZR2ygy1mYkmUeEVI1+oZKblgHGBqhDDkWhFhitdbNKzQxKOZFzoWgjZzuKx8jJK4+Vs0qhOBcQl5inaoijg9Hui1Rg10I0zjmk7/A1oSbEjtQlw495xrla+qOGBan9qnrQRLKZWUFIiAREILhQQV5Hdp6Ud2SdLSzlA8KAS5k8z4x5xz7fMiYAIfiC00DIVmuKZH1hM1kLUsw688Hzr/P07BnPHj3hvY/2ZBI3+2tuxo/YDg7vI0FgmmdOtpHrXSHlzIuXL9nt/j/EEOm7t5jKLcxKKTOvLj+iXAinmzMcripkp5WJsVBjP2zoVCFA1j1zmk1TSUy/J9fBsZVSaLPxZo2qdJAJd4qzkhRH9vGwrccmBQvXSs3oilZPhse8qpWclcp44I5p5MMPXyCAeHjrc8/YXb5AL0bK/oIogYvrHZ3f4B2U/Iqrq29SRJnmEVSZ52z3r+zZ7WdKgZOb51Xiwd7rs+0b5Nwj7pY5F+aSOBm2aLnhdHjEpju13mvXQGCzMaATfMSJhcqMJ5VwzteSHH4BFsf2ts2OHzSLR58OWV/V+iCVzCtLZpxo4+/YxKSVLylykEdsPKxF46e2qwGIhVIiDcLUiVkb8xZE0u7xgdR6NHYeGcTVkdbo5O71yuH87Tli2fQQRANZcWt01dYD1Dl41Na9t6IfHxn2OzygB70Rd+5ePXgDpHq89ujK5AjgyKEdD/Ybx0Bv3UH38dTRvThst974YZC0Pu4xHnlgg4cR1PG5jk7Znus7TXlw+R1EML/N5TMPfJYqOSKVKGqDdaHOfhV0GWzEiA+ClWtQG+zRZDwcqbWoysF5irZBo85YKvxuFcW1KkVrPb5Wj4+rGVHOB7w4xBuHxHmPepuWe2/Cdg4IAl0fGDYDm+2GzXbD9qRn2ASGwdMPLJweK0bZXryMkgwAkTCiLFD5LTXhuw6I68wPwcIaQipYdXbN5DwzZ8GJpY6rqyZRCs7XStReEB/wHsQpMXp2JZP2juCFGIMBrJIhdpYKX71f2TlcUXzKROr7N9s99DX0F7sB10XEB0T84vq3emmWoebcTPAdTiLiOgNqUsMhKdE4Q+aYs3VBOoKbKN5Swee8o2hnz4MXgjpmDBA2Q+Md3OyvODt5xLMnb3F9e8XF9SucFM4GA225JPZTMtVt7/BOSXtl6D3OFVKZOO0E5ybGXBh31+Q8MnSnCKXWI3NWeqKC6UQiSEcXI4gVBs3iKbsbJCvBVQ6bTdtxTkjlEA6wsIkBXbsWWcauRMsvaoakfT4Y5SVU2rYRQchLaAUKmQmjxSvTfMM0TaCw38/8gz/wjPf0hrQf8THwB3/wB/k//vdfZnNawL3g6uY5BRg225qS7ZgTgHGUYrCyFB88/xbnZxuGkwGRE0S2zPOOlAv7KXN+cs719d6UukMkl3yonVesbx3mcS0F5jLV+VFZwtOtGDBrcLNmMtfXv/XQcfii9eKdjJzmVahgx3RtDl4dKi9Rlv8OivNtIlXhZg2nGzBqhVGtplprb+O8aPXsrtwEujKordVauUqN51X/L7Jc6MqoS8NwK4jRJDgPezfF+sO08dCb7dk7lL047GshRLlztPr5Lojg7rLAoCNg+jozvXiqGga45924C6T03u+vX+6Crk+xy8ft/8Dq+2GuNTg8Bt33dXvugKvXnvNTNvzTbPY7iJU+88AnUNFNnZlqKrRaFb5mV7XnwgULO9kdsTww72wKnLOJ2TlY5ImbXLzVSmrGxMTzqETpRddHnIGBGAjRI8EjPhBDJFRCsPPOKoUHG2idM7AlxYi3/dCx2WzoTzZsNgMnm45+iMRBiAF8kFp4tA52moBkac1qfAu11B4UIwMrvqoum3BhA25FW3FVS0dOWUkZUi7MuYbEXMFJh3ed8ZSchUHM6xNq5XdhGjM5BaZ9JEzJ+B+xqhWjx54fEUIX8XOko+B0IDuBkq24agg4FwjBSnM456rhrYapKOqqV6IkXKTO1iNFYk1Pnii6pxQDcjknC9Gpp3MDqntymZk1IQx43xsBeRlp0/IMeCekknl19YI3n7zL5976ArfjjqI7C4+lvJQisRDegGPPnAs+REq9L+ITwxC5ubkls6tV12uoLmeypqo8LubBwsTvovd4H2yQFreoD1vdVcV7TACvWPmGVJ/T9txK9dI1nltqJG4ancWeB6llTZp8gK0q1eDVWX4bTYuQnX0OUhBJqMxGgheY9glH5Hf9g9/Pr178vwm94+bqOX/wH3qXy/RNZj7CD558a6R+lvCyTQzmfSZlqzunmCcyzR7vTpinmRh6rm5n8gzPHn2RVy+eoy7z/OX7bDZPQH3lSBkrf0wTopb95WuWYSlAKead9TUtEg7A5i4JSg8GHcwrcz8UU6dLdRotHEDMosa8hLJs8mN6PbKAHhtnKtAUpVVwLw0wObtJDlPplsYJquEwWhhy3dw7k31b1bgxB0Bs0hyH0JSwAgsNVCxcHDUBVlEbQ2V5lBp0qv3UQA+rVO56Dlk1ELnTvuOWPoQr1vscLdLA1tp7dCe8tQYSR2d+aGkT3hVAu7PLb8fGH13SGszAyqN1fPRls5U77F447O72658eAFCfZps7p3zoCj55+XsIhD7zwAdxC7otmmoJCuO0FBW8B1yjIJpRqVjHAAAFJ57ShHrMyi7KwI26aEQ9AzgKloptJgEVR3GO0LwUziPBCojGrjsYq+CR6HDB01UCJzVU0AVPN3R0Q0e/7TjZdAx9R9f7Gt6qBUfFOCxWYd64Ok4zWRJaq3QrdRAqyQT/KnBDM6q5FnDNBogKlOIppViJhGKlOuaiFNkTfCHWUJU6XdL5vWv/Igik5OlPYi2Yadk3IpA1EVy/ZLg5UbwPizCj63uSQJom8y65gOAhe6sNFjxOLQijQC5ihxe7HuM2uVobTQl+Q/Rb9vONpVuXRMkzJVutseIcJumXKDrhxBHDgJfKyZq0hoXA+w4F5jIz5z3oxLPHb7Lf3zBNz3l89oTd/rkVQc0jTk74/Lu/j+urrzGVr+O6we4PEyndcHoacAykeYeGfglJFFjaajXkWoZPxjkheE+WRFIF7+m6nrlcL+DHOShOlrBpG8yaN8iUxFnKVRSt0a9qYZqgotdW5PdgAJthaBkyzZtKAReMY2aZSZl+E8g35kn9yt/+Or/rH3yXZ1/8HEyv+M3f+Du88z0bTt5WrufEOBc2J6fkAkN/zjzt8X5fuTGeeUr0Q08usxHUywbnOqZpz7DZsp9u6cKWPBdKSji/wfuuFtCtHmBV5jwzzSObbqCPESeOXEwTKgZP8HFlgO97GWA9vN+xDmsDUy3FOtzVCMyHkHgND1UwSeXiLckINNC65v0cQGqRdfjrmFgtNBVpWQzWEUi5s6jYcLeg4HbPjzwyBwBlIdAD+G18mTtW92As60nWoKWBD2meofbbYc9l53WIq/0R2pj70H16yOwfXcq9rR++k+ulnfF4q09lv++iBu6Ar3sg4nhXeWibe+Cogda7LTxCda95fo8P+gBcenC7v1+WzzzwMaABaS5WoLTYAGBskGKxCsFIui4uRSuNFCyU3DhBZjzNU1IqiRcaqnLYtgUDR+Y5AufNDe2r0jJVuM/HQOw6Qmcp3S4EfPSEIDVd3eODr672Qt9F4hDo+lBT1wOxpV17xfv24FmGk70ZM+gMTBgh2Ab05so/eHdKLfpZi41Wfk/OmTkbH2VOmZyz/V6EnKmlFibT4tFAkFw5HgVIiBi4ierph0hOdmyJCS0RrYU3ixacC4fBQMyzIzmSxQi65NpePB5ftZisjYgSYgcS0KoZZAOhksuI09E4P1iGXwgbQjhhTntQV0HdbDywAi5EvCjBWZhQfMK7SFFXQwpuZSxs5j3EwBA7vAu8/eQZz568yXaYud294GTzJidDR9KEktlsH3F+es17Lz7ERWEzBFK+5cOP/haPzr6Xt9/8Ai8uLhinXD0xxdpYFKvfpAQnoInMZPW5yKAJ7x3D5im388sa2qigvIVSavhmiajQPtuXJpvf3ONtaDegnFFxqDP+iVWVtwmBVEEEqZMDLQ68VhVuI0c/ebYlXY6k4rm+vKHvB+J2y/72ljfP32Z4ksHvKaNx5eZ5z5MnX0DyQJqUjNT6Vp5SZsb9ZKnzEnEuohROTs65uH7BPI18/q3vJU2ZR6dPOT95yqY7g1bEFkh5pihs+p5Nt0GAOVuoyzlHqMR5hVo4t3pi7iz3bdjKlNTxoSnAH8aeYwDUQjoqpmSeq2GqmIMWBjOHjv2i1ZsjR+CoTkKWcUzAuSprUKUlquCqtvt/h7OjbVirv5knqq04XPXC2FE1vS05BKWK6IKZGpBGasCpeSoahlIOHrIHPBWHL9BS59sB7oE2PQYth6UFuw6GHFl5hF6HMo4PffR3AXZ6CNk9BCLrpR6vWX44mj7cP9mdPmiZaMfHkaPvR/W51tuxxjvH9/woJNaiIw82fN2W113tcdte3yu2/E7Apc8+8KmDClWQsOlZiAC5UJJ5f1yoBldXqBtsoMhiPBQtqAgJCxu08ICyemiWH2xWXpzHhY64GWroyoM38cLYD8RoRGcJQt/HWlLCSk7EztRqQyj0XaDrDEAMMRKix0XjzHhnImdoMsMjLbk+IWqhrgaImvJvUzFuIAh1aLGirrlkUjZOz5zTCvAoczF+RLteLZZ1NIdIJFJIVRHaQI/DVKS7TU8VQLZMNgKaA2mqYNGpzUmLmqfHO4jmIfICPhfSPK3mVM2gKCUn0uyWWmaKp+BqmnImpR14j3Ot+KUnug2zPyX5hMsTMFIKqAtEF3G+hxCY8ogwUdTR3CLm6VPmbMYw5cRY9vggpOmSLiQ23RYtOxzw8sW32M2ezaYDCl30KB7vOsZxtBIgnWM33fBIbtkMJ/Q7ZUoG7Iznk+s9tefKBWdlKfItkuq9ZaIwMqcqAlmzGLVqzCDG9WHpwwPwUXTJ0KpmdZlWGraxTC+rUmtcrsZ6aSUZXDN8QdAcEU3kUkyZWApvvXvGb/3qBY/f+Bz7MfF3vvJ1ft8PfR4Zr9huTnn5/JtMbk8OSuyt6GqarokOfLAkgzQb0d7AiVCycDKckPKMykCIPS8vPrRSFnFD0sLj06ecDOeIWKzNlKzNu+kd5pVEmWsYOPiw0u1RpnlPzpm+2xz13f3PbdA4zKYPHp7jMUk4vENUULOEv+SQtm6gxo655tgsDqE2lokYT64cIIlxCsXmQSK12n1tVzVorqKcNQ9ksXWKea5XekSNCG2hwnqFLVy1vtoGGNVELm1otIypUp+ZZllldfwFXK08PUJLjV+Di5Unadn17r24CxDa32Mfx3oj5SE4dbTzsYdElxu9btXxue99e/1v90754O93Vt7d9ggs3dn+2NnzKZd63avLfbit8kCI97tz+cwDH5RlQC5Vw0dQAzgoxRUkYEq/ddYlq50FK6xogoe1rpRKM0FLNkbRw0vZainhrLyE6wIuOILUwSI4+q6jC1ZQ1HshdCZI2JSYY/R0Q2QYvHl8otXcitHhg7NQUPBWs8nmwmjV6zFtG0vdNglG8zRYWfPD62kzT10MQVbT6plrTaJSCqUIKQtJhaymWIx4kIMhzqpIzkw545wRh32b6dbQUdRI2VioZIoeiiNlh4+Y/gvgnUezhdKcD6ia/otLTXfbJAic+DqQB7JmFCPuugKugHjzOZmXogAzhZ2la6urQpWRELZ0JZHzRAkJVUcWrIBodETdsEs37Oc9s46Ii3ivJK9LeZKUjQg9pom/9Rt/g7eePuONR+dc71/huWK3H7m6ueF6l5imjo9efsTJELm42JMU+iEQ/UAuE2Wc+fDV19lvXzKWDeMseDUlZ1o6uVQnpaMCWVNoVlfsXsveqpUHh0xVpXkxLm3iXJasIdyB00P1ALRQr4VA21y2egGqllF29rRbmKbgiFWtu4pkug6RDUVvq4dJ2T7qrMDrzQ2Pnr7J8w/f42//nxNvpmu239uxOVHGaWY3FSadiT7jXcRFR8p2HO8C496yvBzCtJ95/uIDnj5+mxg6rm8u2E83bIcT0ED0wsnmEdK8dPVZn+aRlGcah2XOMyKO6DtczRIsJXO7v8GJY+i3Fsb+2EH9DiC6a2TEAPthZl2BoxpFuZF7zVY18HMgPZvnWe9o+UgFoaXNt6qXp4KoOgEzLxC1PIZihZdbyv3KC7IaIWp3Lfd/9T8qO8n2W8Jf0qKnR56JIkt3cBB4rIAJ8wA1AL5AjObZWXlljkHkCpw86N7QZovXM9PV2ofRwuIFXfDMClmtWvLQfg38rFfr+tODeFmXNh5li62O/SAIah7a1cHutur4VK+BZHc8bLrqtNdhr6PdP8U2343LZx74qGoVwSv4Bnqr+KCKosXhVZcsBBFHloyoq3WfPLnVqMIqUbcXlFXh8vZSOm/V09V5XBwIweHbdzHQ4jorLhoamAmOru/oh46uM9ATu464iWwGT/SZ6JUQKo/HeZy3MgBI9eaQ67BTKpyxshMqBTThyLUqfc3jEnO/NDVhpdaw0myp0yiKP6wzc1YdWhnEI9IAiZFFUzEPkajindYZqxlXHwNdnXlIrSPps8N5xc2FkowY3sKP4qu4Yc4UX2tkOaHkjHQ9Eo0cbunqxeqf1YRrpFUIpxq6BDqSnCLSk9VSlUEQF1ENOBlMeRorYBp9JIiJ16kqqewgZEJ25M5CaiWbxEGpoo5jGnl1/Yq+dwSXuZ1fcrO/YTdOlCJMqbCfLKV92Ha8uNzjc+HFxSUxCtshcLW7ZUwjpQwg5+RidaGK5HppQpFk4CRQ7+GEaqLIjOrInCdLu6fyaxYjoEtYy2DAYUB30gwxoGasluwWlKTgi4VaLFtdrXSHmvdFXcGVU1SvgURxOzp5g6hbsl4DSj/AO9/zJl//tQ9I4579bsf76Yo3vnzCC/+SD59fGHj3gg8OEc9u3LEfJ+bRQqd9GMjzjpKUeWectZvdjvPziU4yu/0Fj05OOd++QR8GTodzQA5AXgspz8xpMvAkjlRMkDNWnR5FmeeR/f6WvtvQxwFo2VqHGX59vNpAs/TlcZbnMhItn478B6uZudREDFcnZdrulQNr4jqsZRo+C89n4fxI9eoZsGnk51zfQwGk2I12YpM5u9FydBkGvpqXaT2g1rYvfJQKhOqDI0emsKKIFXY4kODrJFFXD51yEHGsz2t7BpdGrT4cwwS5R0Y+9tPcuQ13yen3buidi34A7HB0/k9a5Pj4a1D8mkOsr/JoM1n9Pbphdzd4aN0R1vnY5q5vY/Ma/V0BnU/a+e8hivrMA5+UFQkCJePVijW2wnmighZLJ5WcEB+sNEF9MDLmHUglQx3k0fZiqhUSLRzcsN4hIeBiQEJEfbRigxhfAC/4GK2qszdV5b6JEg6RzaYjREffd3R9T+w9fRfw3sQHvddaH8sjTszgM2NPi3l4qJ4dlRlVq7dlFO1ctwHzCM2HqFyp5RQUSzGvMftShJKNjOoIhvPEShasEpkt5Jcy2SWyOLIIsxqfJopWdWxP7LwNpi5DgXk+DByzZkqZDcwE875pUSQEC3c5T4gd8zzius6y4iq3xV5zA2LijKDq/WE2ZPyYZNysWrRSK3fGZvOn7PZKlA7wlKyMe7V77jYENxF8JgNhCPjgmabCPM1knQmuJW0rKSeudtc4GcnphuLAB0fOMM1GPE8p0/WREAXxwjQDxTFnq3o+O8+mP2WIj5knx7ifDGw6bIbvag0uEXCNkD5SdCYXSxm3PlSSGgRWwXhgUnfTQ9q1qwZT68y1DcgHG2HrclUTb5GzoT+n5JmZV4gkgndoOSO7C1Rnpvk52+5tTvrfxavrbxH6xB/4h7+fD7/+it3VDcHD+RsDH6QbysurSrA3vlTKxQborLVkiWeaFNEZrWrTGWpFe2E/jpTygovLFzw5f0oMvbW16gDlUmp2oskLiIpl6lV75H00vaSSmKYdc5o53ZwRfH8w1kcT/mqlDz9wZBjuGOFm6NpWy0xdVl6T+l2rzpjUcaWFEVUar7BlVK08QVKM2OxkpQUklZNl3jsjxNu2uOrLUDFHKo1j89AougI4rK/rcP0LQGn/WwMMWDw9BmYO8KjhnsXPvhz2cPz7P+m6W++AnRYWa9fH8lwv1/fQvsuXdaBrfX+Pwc7H2ugVUHgYda0/rhHQcfte+/neyeqndYj1we0PPx6vfmjj1wCdozatENSq/z6J0/Oxp/17tHzmgY+JgjkkCyXZ4Gf2wgaZ4kxcz3Hw+lgs3Jy5xfmWIQoyg7M0+Fw1gVpWgjiHxoiLEd8FCB7nTCcniCcEjwRn68MhvNV33spObHo2257QefoYqmH0xNg0U9S4IL4O1lL1ebR5capWjza9HgtvLUrM2jK6jFNTmi5rC2eoUoqRLrXIAjxsQLOq8c45fAVQLcGN6l0SFTNIYmnWpb7QiYx3TeBQiKFlJVmYrI7k5oVJEwA+BrsbxQBW8VZJXYsSug4fLBvPOUtJtlIc3ng4SjUEvgpSWnabUHAKSSesRABEZyEGQo8Owm5/C+LoYiCVkSnNpBmcnLNxG5KbCWJep+AyN5pxyTLqsrdQaqaw3Zyy3W5J8x7fZW52F3iF3gf208x+SjAnUlbyaIThm9vMOGYenXjOtmc8e/Il8ix4bpnnwigTQRwq2UKuVh7XPHRqytNZR1JOePoKTqoWjFh4bKH31NlnW2d/V1PrOiA5qByw6h1VKNnkEsQp87xHaAKRGZVMdE9IeYcyIiJc7t4jzYkoW253t8TtBX/oD/8+fvmv/SqXH14x72b8rEjn8CL46EmaCc7uZU6YvEHocSKMUyYriBPmbKE8772BGSc8e/ImzkW6vmfOI7dje5ftmkyAMxN9qM+kq8KFVsJmnHaM045HJ0/wPh7Z7/v+m7URWRkv9D4mOoxID/x4CEU258siaLi8IgYNGphp3K1GcG6enZb2bv8c6op5tR0I2ZIYRBYdM+tMWKkJLs2Wh9oq97GR0kjbh82bp0jrNbV0gAVUyxrsNI/kHaNZd6giAPZ/faABR119BDcfNPN3en5p1H2M8cA+bcK8OvIaLN0907qpDwGI+/DidSCkYWR98Dirxj18qXe3W2/0qQDW61d+PDjidSjsd3T57AOf+ublXOtfoRyyPOv3OudQre5jbcrG5j4NLpBKpjjFR4dmJYgnzXXmJFhW1tDju8DmpOfk7Axxgd1uzzznWp6iprBHx6bz9m8T2AzOwM8Q6TpHjIEQAz6aDo6BHuM0GDqrnB0xlWLj78wUnauycMvY0oXInOubXZoQ4cJSUpYKzihosL6QNkNstYV8HbxMf0el1OwfU4I2mOiNIJ0K4jLF1xRdcRWMGC/HtTIdoiiZnAuhhhtymcEL0QVz76sRzhugcZoRp4hmnBSctzCA8YJaLSpX9XwMMBkHIrcWYqitZou5mpjtg6WBzzNzyjgf6EKPU0U1E9iCiwjKvlzg/Q4vlh4uTozXVblNXQCyFc28ub1dZu0+OHy2YrWbPhCnwm4s9H2gOIcXGMfM7vaacrZj070Bec+jszNu97dkZixZ3PgaWc2Xp1pIxbw9c870/VOSOuZSSJVQKn5xGAHmLWkFM412VnlwAqUmBRoQxsasYtdpiuSAFlLe0ccT40ZpJuktrgxoiqibLYyUEzt9TpBbhv4xt7d7Hr/9hD/449/LL/6lXyPdTjA6qxWG4/zxI15dv6jPbCGKIxJ4dPbUMP71Tb2Qg99EEE42ZwQ/0G/PGceZlGrVWxU8sSqZi4WiVer76Be15lwKcx4Z5x0nmzOcj3WEOORfUUHJXfhDe3fqL4sR1BV/ZrFHqxnyna8KrMtZuGrkVcQ8x63eSA1BuaN1letTwVDVM6RlqLZ3GSdkjPDs7FWp4HZ9fWsAJHfCXQ0SrTpiBZjbaLoGL43w2rIFZTGGi5Og9tcBfy2/rc7ZIJBNxo41eo6zvQ5rlrYcI6E7fonXeDde47043Kd7D8Tdqz8CVA+17xOXe0iqPvVrAHT/lMu2qN45qzy4z4Og5jWA6HjLTwdqPg56/k6Aos888HG+EhLbIF/ggNPNBrqi5KTETvA1LVTEod5mTqLgionH+Tp9LtRMsGLU0K6zGkIuejbn5zx+4w02Q888j1xcXZOmjLiA854uePqhYxgcw+AZNkPN2nLETohR8FaMGicZWf45Gp+HVkBUZigV9OSZVsm7NHevFhO/a7wmDmKFBpJM98P2cTVNvYa+sJAX6oyAqFIHrJrWLM4Mw1o7CKmcmGLAoAILBZPdF8s+kWpQioqVG8gZcgVz4vEumFpuccsUUZzxXbwTSkoWypNiis9FSKUQW9YZStB6LrEK8Lk0FZOD58vqdxmwTCRCsJCOaACG6lHakdVECZ3rcfR4MjHsjGfl1GQLtNVHm0D2NNXt6E0Q73ac6KInlUwuheiFXENHJRVKELYnPaqJ/XzFG4+/yG684mb3ii729F3H9c1zZt1V782Bm5WKleFISWEzoMkEJ3MlAYszQ9dKVzRj4AS8NBXn+maILtk/lINTQA6Y0aQhcoKglGwHT0x4uQXtQFMFDcKURnzv2O0/YNM/QlQ5OzvhD/4/v8Sv/OJX2F0o87XCpqD+OZutN+OutVadKFdXL5nnwssXF4RgeWTN0M4pc31zxZNHPTklhu6MLg54sedlnnf4mlYvxfSloguEFacnl8R+3hNDRxf7gy1fAABHVvQQDnz9oK0PkCm0HbSsUqr1ACbap+YNbQWDl9IUaw9QzfhaCpy2MJez8Ho9CkINbYqAO4TRSp0E3PNurNBLdTIcwM/qs4kj1sdEdQFqy9H0kKpP7YqDY8nKqrTcQKl9uQoCsk59X7wdy/EPQOdQc+w13o71j+0e3jHorzO/d4FQA0jHBztApIe2v78cEuvbVofn4OP2u3vs+y38uwUSnwrUfPc5cL7t5f8GwCfasCE2KBRa4EaXGLoXk6xXB9JSWX1Ag3WP5IRmZwOH9zWGXghS6wL4gO86JAQEYX87cXs2cXJ2wqNtsCKKqViKtTq8D/RdRxw68+x4RwwOX0tOeK84bwRk7wz0NC8LFcxQU9RVE4UKfDTXdHQbzJw0D0/z5uSqvVNT2WkKzcqshayOrBU4NEn/ckhLrWeHFvpSsUrzEirRslTejVnN3PRCEDOeWtCSyJoQMiKC94p3hSS1npgUcIHgIk6rtk9x5o1zDq3KuqnKDChWPywEqbokmbm4RXrAUz14UpV6W3V5tGbD2YiseULzWEM2gpYZLZ7YDaRpBBzqbsl6QQwbHBtymondhE+jtcWLgamScM4xdB3zNLGX2RS1Mc0ksLDY0HvmObMZovFPtDCXQpmV568+YDcWTjZvMiXl7OwR437HOI1kGY33ssC4ghYL2ap6Ut5zcXVBslTD6i101Wia5fJoBQH2/CPNQwGIkFpoC0ANoEZ1dpyCedRESXkGgvWXy0zllk13yn4sFD/SxcB+nBnnHSF0XO4/Yghb+hB4/Jby7g92zKPw4mLPVMwLZ/yeQlfVy/fjnlxuub2eFxyhQMmKD7DbTczzS4J3vP3mM4J4Sh4p9Piu4+L6leky+Y7gI6E7wTkr9QGKlmKeRpRNv10Z32O/wr3aS9XQSv17MFuNuNt+u29ZF0DAChy0M0vzqFSwIo2vUzO2EHLz8jhsPFrIzm65x40Y3cpPCA4ppaa5s3ikDmFrOCLCrD0x9VdZIaDFg2AuEBtzlmO03wztNCePVtBDHY8b/6YdwzZfk54Pfb94mZbt+cTFungFSnTd9na/HrLjKy/QkefkAR9Qw7er7dbemIUTemcnXevlrBpih/kE79ACIO8jt2MhxDq+HT5+wnV/m8vfp9joMw98fBdhnvFiLB4T28qmlFwHFRVTTfZdRxBHdKYh4/reaj9NkOe51uvxNlDkWrIiOiRGK8HgLP5eUubq+QVOlcePN/Sd5+RkwIfO6impZRP54MkKc0rEBJ1i3A3JNluTcphmV9hhM92EMteQVl4Aj4U8rKQEaqEftA42S0XzBp6UXDOxUjVwRSv3p2r6qPGamXMdZYrNwJoHB2AdczcvkA3MUgd0I0ILVLBlBUItxb5JB4jPeJ9x3kQSxU2Ax3lB6iPqWsV3V/sIK1haA4B2oV7BZXKeKsXBVUJowLW5pQQcHuNHCaoTqsqcJrSGC7OaQKUqzDdXdgu8J3BSidt7Uil03RnDDDnCzJ6SM6cnT/jdX/xhbm6+wu3+G0z50op/qhnYbtNzstlwdX2Nj47zxxv2u5HtJnC9n7nezXRBcH6ipJd87tkfYLdTTjY9pcyoU6YpNWoUYENxUWUuSsBCdLt5X2tNtRmzySx4t9ws1FdjYrjQPAuFmstu99hLZOi3KMKm6yk6UnRCJKGqjPOeTb+lZANvhYmZK0I4o6gjRk9Ke7JOBPEMm6d03YbL69/g8uaWfdozFUEDRJwRvp2F21I20jyaScmep6KFnOw5LMXUlQFyNhL9brzCy8hJd46jME03bIataUGJEddLgTkX8rRn6AYTS0yJ6AJePO1xak/54r3g2FnA4RYcXCPcsc0tpKNHkoXLUY74oXe9P9XbvGxYAdFRBlfdTqs8gdaQqz20jiK5prKXxTNk4bEKsxpIqi1bwF41qgvh/e61HjrmsP+CLNqYcPDgWB9UThKrDKyVR2jZsn5XDr6RI49QA2JHlvX1pvZBisnS8bq6p0etrfs2MCMHgvsRQDk60yGMd6QAuGrfxyKCh56LQ1/ev4bWBxWMrcHP0Wlef9JvH6B8Wm/UA439LoJCn3ng03cRFTXdkfrSLzOq+hQH760Ks/dEHyzrqrfZYkrJbH4uzJOVFlfE1HwFshcIgeJ9LT1hs1Ry4fbqFtXMo8dbuk1HGDxdsMKaBQ/qzQOSCuM4VS+PR3EEHL65oZ1WPQ9qevoEOtssRnMNXeVaGd6Ui4vOlFQNHjZjz5Ww3eL5Wau0YamV2IuFqgqyhGPMwGDHLG1groNFfckDDaC1YSpZH7vOwkzKArpSHkl5T9MCUDVitPOF4EstgTUZ18RBH89QdYsBByFgRFQvLfxmKfsSqv5KTnbNxfrIVK1BsZCXuICjQ5lrHavJhNycmBJ0nsi5hgSLZadpFuMMhR7nOvpuwzY+I7gtJ90pt+MlN/trQojs5z3Bb8nq2afCXLACoSLkUnh1fWOtqWTvm51CKXjvGafE0AUKwmb7mBi23O4/4sXlc05PTtlueqaUGecJlbKEGAUgKdvtlt1+x5ymJbzlpRGSD6GSg5ehlmhBQAMiDi+Ok5MzYrQCoZc3l1zdvOR694oQMNFMD0MXyVqY84x3XQU+I2O54qTbwjjg8Hg/UPJMKjMn/Qkl7diNe273IwpsN1tC5xnHHX0fGOfJQGsd67XAPJdaPsU8CDmBFiFnBQ9DDATfM6eJWWcTzqwlU/ow0IVI9B1NeVmLWimUKoYoLhC98duoT0t73o6sm67XtRFk7YI4HtwPRldW2x9TYY9qpzVcuhIzbC6RJbRU75+9Y1I9r7ZPkZrOvniLXH1OpIbFrH6WVOBjmWDU2LZZUgtttYa0z3rohmr0l/6xBtNUro/WKasubckUjTdUPR5HAG918HqwAxg5Xo7CXdzlshzdwQXQtTFrWftxtvgIlbLyfN33+hy8NAcItWyzfoRWwIQHjvMQZFl2+xg8ca9N622Fxet0tMHriNC/jeVut752m+/M6f6ul8888Ok2W7J3yNDDuEdnxap0t/pETUU5EroIEtDQ4fueEIwYW0TwQ8ZPEWbzJJT6cpqir6+DrMOFgHhHCM6KG6qlL0/ZKqz3XvEh0dWc+ZwLpGzehVlwe0vVnXMhxFXYy1HVZC3M1SqtG09FK9FVAFd1P6Rq1VQSs1awxVzJzJm0SmNv1aiLVs9YI9DmQslN8dl4MrbU0FIVsvPewFNwWLioDtqOUA1YoWireD5WsFL5C3W9C5alU9Qy1opLqM+YXz7jltw7h/hiYtTi0RBBTVi5iCAtnISasJtmAz0uIG4waQE1r4H3BsAsDBYRHckpk/JoJRoQrE68J6cZnSdc5xCd2QFjueXs/Cn7D/dc31xxtbtknq95dOK4uX3J1c2MSGAYBq5u9uTRvHKnm0AQx7i/sXphlRTuHaSccZOjP9+yG6+52r3gdrzmZn/L+ck5bz97l4urK55ffGDkd7VwVu97Hp++wTefv1cFDjHDsWTAsYQ/bDR2oB4ngU33lC++/YO8unpOKheM88SLVx9yvb9myqYJ1Go92d5VSBIYp5HTzYDXkzoFndin55xvP8+8Fzp3Qs57gniUW5LkWsrCrPjLixtSgdg5UoKUCsEJz5484dWLC+acF8MVvDAX+ybOuEkh2ISj5IKLgvcd0Xf0ocOLEZu9BFNhXxH+jR9lEgTO+Vq0lDq5XluqY9Mrd9Y0bsna+Kz/z3r7FRAS0SNjWWdm9XM1oJXnZKc4kJjt1ioWwyoHIFQ92M0jVNGOhcP0UNpiAR7SAEHzaBx7GA6hLamA604nLL0gCxfoyBsjh/5p1rHhibVzZMFPq0MKHEjLr0M/R3focGf0cGdWWx2WIzz6EJhYoZWm4K3LPWv3qoUpj2Asx/fzsI6114h7m6wadjjS4ecK8KxTHuyHh6nYh+Xe9X5KFPLJgOWBLV6303cJ+vnMA5/YD/jo8Tc3xHGPF6lVrm0mLMFBF3HDFh8izgdC6AhdT/CeGDtSmlAvpP0esJex+KoyrIrzTW3Z0tklVDA1RDabwDB01SWf0TLhXaCPBefNu1OSGqm4TIwT7HNGfCIEIUbFh2IgzSvi1VJT6wBjs2AoGupgXkwtWR1FvfEmVHF02AyjiRA6EhktpZKZLQPISNDOXjsJNLXn0ojNauCqlFL5BWCxEhAp5HnG+Yx6q6dVtBJqVSk6AzOlGB/JqUJtD23MNV6rgbayp9DhaqhPXE+rB+QDpArW1FnOma9pSybex+KiV9qsPlqYqwK9Rr4VHwh+a/XcFKacLLVeTajRieB8JPoBRMjsmdJH7OYPLFR5fUHoO85PT/jw5XNeacZpYL9PBmZFeXx6wqvLkTlnhs4kEhrBWbGQVPTCVGoIMmVudntOTm7og5Czp6hyO+7o+5EYOijejB4WktoOj+n7E+aSF+0XcVRPTws9iqXFa8C5ji5scG7A6YYPPvomF/uvMc0XpFyMa+MUX3QpWNruv+DxssG5wE1+yX7a8eb572acr7idv05h5mZ8n2dn30fOj3nEG6AXTPNLrne3jKOlVu8mu1ddJfVL9UZ4B9dXVwZOapaZE0jZvBYhKs47E/TE2pZLofMbtv05nd8SXKicN/OYGog3fpcX8+yWUqUOmnFbZYvdXV43XkudBKy9Awu4gcMxl1DYyoCuN195hg5Vy2Xh8Dgx3ppUj4nUsPNdknMLfSHm5XPFEMviPXKHkBrOuF5St7VBZYVTFoRytzPk0PH1qhYWzIJE2m93+rP1Q73Gss7QUzmAq3v9fM9n0XrzyLty0BK4u/fq3A9c0vpqDj/cBT1reNNadACr7doP3VYBWN30KGT2ugurPzYv/z1HThv8HwDWd6/lY0/zMOr6hKP8NpbvErCzXj77wCcGwJSQNUSYE1rJv+oECQHfDcRhixcrBeG7Ht/1hODNK9EF47r0mxr+qErBAeO9eMEHT+gCvguELhA3kX6w+kzDpqc7CYSoxAB9THSDEGLEiZCLI2VlnDJpnshpIk0jIqWCnYwPxoFxwVlFbhfwPuLFoxqwNPNgxRRrCMQ5h2iwApwoltodKRrIZU/R2cY5TcxqYRidA+pilT20tH4jScsSEqDYMFVKqW51h6iz6uECtfQXRgEvJDXP01x2pLxHF56Rzboti8pqqSEBpVi4UGdK3pv3wjWdEgVJOF9wmimpShLUGasRpj0p5zoDdjjpEDGvUCFVUcqZnPdM6ZbgrWzEHnDTDnHXLMokNZRWSFalPZziNFpYgR1QmPIOKTNnJ1tQuLi+QFzkjadvsZvfY7fb8/LlRS3HofRd4I3H57y8eMXQd5xsYdxZgdH9foZUiKHn2dMv8eFHX8OI9AJ+IGnhZtzxxXe+zOnwmOevvkkuM0PYIji+8vVf5Xa6Nbskjbxs/BcvHk8kEHC+Q7xpIN1Ozyl5Bs2Iz8bx0eZ9szCKy4KTyLY/owueGEw93EqGQCozU96x39/WIqaZxI6L26/z9PT78LoBdtxOG6Z5x24/M83CNBsh13vHduhIJTElyyqb8sw8KblArF4OJ1WQ0dnzSoLgHX2MeNcRnHl5FGE3jZSS6WJfAQP0sTe+n2JZcHm2MLerYS6V+3azekJWk/GPMQ+WicXR7LtxZQ6E5rWP4kFpGjXw0kj6iyghBxDTQpZSEf4S9hIxde0FGDW8U/lA1YvUiMfaAJIePCwL8ZrKdGpGuLV6AT11+2P3xOrKD5drnw0EWJJJu9ZDHx/wib3TcrTN0pN1GxbP1bLRnYY0cLTcr8XYy+pYK49N/Z+gPAh61iBWDm04dsKsLP0CeNafj5+N1qxGQl5vdzjGfY/KWk/o/vJp0MbrU+KPD3MfQn28b+nTnv/b3fI7t3zmgY+PAbQwDBtydwvzZIa8TiOd9/gYCcFXdeWAH7paQ8svsXByZuo65jJDUVw2HZtcMk6Ubgj0m0g31NITm0g3CJtNRxwC/dbTdUIIjhiUGDtC7AiuDcJK7PfcjiP73UyZJkpJlHEEHU0XhWxZVM70SHzoiaEO9m6D8xuUgDLiazGpNlzmcphtwlC326GY+F/jAnThEc49Zpx2THlPq8kVgidnMV5F9ZQ4TXV2aPwXMwg1dKQRIVgmnU4oM1O+sbZZKWe7QVqFBXOupO+a4lp5B1mN6CzSVzK6gSXnCt4Ve4JVaujSyOtz5dNY5k4w0APMaU/WzFwmBMWLJ5dMFzuC7+njGdvBFK9HHCmN1n+qS9jP4kYdXk4sy0ksDT1n2O8n46s4j3dzFVY0Iv1+TKRknqfbfeK9jy5xUnj8aIM4x+3ttBikkpXOG5C5nV7SdYGBLW8++yLX4w4tSh8H3nn2BYZ+w83+ipwSH370W+zTLSJai3coUmndQXoen7xLdCdc7d4nsyPNNyAJEQunmiFsnqGmGOTo/MDp6RO6bkPKMzf750xpJEa/eCIKytXuG2ziCWUO5p0gs89XzPkC7zpudh+x6Z+w2+/IeW/Cgo33UV2DJSl98LgC81SLkSJQtGoh1TpslXivCMEHTjbnRB+Z0gzscE5BHX0c6MJg9bfq8Np0j/bziDjL6HSN4S2yvDfHQ/vK4K7AjxyN2o6jIfzI/q2s4zJjh/sk2INBXBOcVViATgtpWU2xbP1Ww4bNq6cti09bphe0kFhLe3c4SymvTSitWSvRwOUy9IEm1mtpHCDqWKkNyNC4lKv9VtfeFO8b0LJVqxNVMvRRG9ZdVdHEEYhY+vwO+PxY6yqHc+sh9NdIzYvadLsR6/U11GW/rm+41C6pk7K7Hpp7YbA7zTy6jqMuuX856y+rz5/EuXltt3yHkMjvBKD5tMtnHvi44JAidH1P2vZMaSTtd1XVV1Hn8CFanabgcTEYCApWWqLN1CR2liGmXVXFVYqA0xlxymbT0296NptIPwT6TTDAs+noh2igKDpTMXaJGALed4hzOOeJQFcCfe/Y956bybPf33J7u2ceR/K0RzSRl3GyCpe5QPADQ3/G0J8TY4/4GXW1PINYGjhVXFCw2lOopfkjVriQIohm5jISyTw7/xIvLz/i+va5GYcQEWpFsJIPwnboEm5DLG0dgc5X8raakFypIS6vZRnA1RBo5RfVkFwGcDbQO2/Vnat3qxmvUsxYi9c6exdrv5geERQTH3QdpmqIVZEviXG+ISUTFfShM20gZ6UKshacj2y6cwRP8qN5sVSttIlElIBzAe9OiGEiqRW31KLclB3jOLHdPIKyJ88v2faRMidmqerVwDQVRBJD77i9ubKQpneIdASX2e8SJ5vHvHj1La5vX6K3yrY/YRqVMimnJz378UPmNNH1j3l1PfH85QeMizetGkccTj1eBrrwmLPTL+C98OH13wFGG5RdWWQd7G6KVWEnEP0pT07fJIjjan/Nt158DZGZ4JUuWN260MIjwFx2eBWM0N6hMiGqzPMFQz+Q5lty8TUV3zPNmZKV7bYnRiHNZclqtOxLFk9LNi1CvBgvx9dibN51PH36OSrVySYjanpbfTcQfI+5P+qzqoU5TaQy48U8p8btkXuD9EMDdzPnB8PabJLSTJ/xzPT+fqsQhT5kqdo2bY826xdn4PsOd2fJ7lKWchWWMXVY56QWI23eIAQpplitudT3UC1ZVO351NaXraULKDm08YDVDkCR6n0RaYBHllCZeX9b4KuCB2UBNmpNMNCmTWV8gUXLZ3OzrLpuOd7de7VGRw+b30VnaYU2GuhZvHZLan0FPw+CnlVq+tHpVvd1OUUDVJ8OmByhTT369snLpzj28hx+ouvnY1Z9aoTz3QOF3Cdvcrz8z//z/8w//U//07z77ruICP/1f/1f39vmb/7Nv8k/88/8Mzx69IiTkxN+5Ed+hK997WvL+v1+z8/93M/xxhtvcHp6ys/8zM/w/vvvHx3ja1/7Gn/0j/5Rttstb731Fn/yT/5Jy7D6NhdFau0mT+gH/GZj9bTEAIcP0YiN4ozrETuCN20d563mlvgAYinvceiI255wumE433D65ITTxyecPtly9mTg9HHP2eOe88cD5482nJ4PnJ1tONkObIaBru/ohg2x29i5Yo8PPSF0xLhluznn/PQRT88f8+T8EefnZ/TbE8RHdimzH/fs9rfc3N5wc3XJy5cf8eHz9/jw+bd48ep9rq+fM4637CbL7MnZ0rRNywi8hEo4NiXrog6VgJMO53vUC/vyig8vfxMlEaVHR9BR8SXg1NLBUUdWI5qmXMhZlxIXJQMlgEqtA6akPGFV0qs2zDJ7dSaqJh5Rj5ZMLhO5WEgSFbx0dSY5AYnMiJIWxWRT31MbnEiV7FoBCmGZvRetdcyYQSZSuibnG27GF9xML9lPF6S0tzCZejq/YYhn9P1jzs7e5tmT7+Hp48/z5PwLnG7fou/OELFsvr4f6LreaqzFjq47w8sZp8Mjzk62dNETgxAjiChzKoxzZlYlOMd2iGz6AUHoQuDJk2e8evW+eb2KMifl8aO3GPoTrq6e860PvsKrq/d4df11pnxB0n3Vb6pGUa2sRec2bIfHDH3PNz78Zb7yjf/d+rHNYKuhKotJ8ggDbz3+AX7k+3+K4Ae+8fKrvLj5JshEK1zZip9CM9bmkZnyiIuOnHq28gan8YQhjHi5wXnh4uoFz19dsNunpbTcPCY6H3nj8Tt86d3v52Q4xTu/WGCtWXG4SmiuKfnBB/6BL/0AT598ES3C6eaMTTzh6fk7qDr2045pHilQs88SKZtop8MTfVwAdeuL+mjW5XguLu2XNnYrq5RqWTY/ckjc/ZHmB5HV+gNvZ73VIdTTPh8AjzsCP1UVHQO7SOV2ib0arRabVAmPJcPLvQZINS/LcoBDG46uZ/V13XvLZdzzaBzApa4/aEspP/CeFg+J1k1WPXMMJx7q1wPwWjz2d7Y8/CqrvY+/N8DW/trl1yOvPFGrW7/anjv38357D33ajiMPbrXe99DPn2K534Cj5e8Kgjxw6I8/23fX8m17fG5ubvgDf+AP8C/9S/8SP/3TP31v/Ve+8hV+/Md/nD/2x/4Yf+pP/SnOz8/5lV/5FYZhWLb5E3/iT/Dn//yf57/8L/9LHj16xB//43+cn/7pn+Yv/+W/DEDOmT/6R/8o77zzDn/lr/wVvvWtb/Ev/ov/IjFG/v1//9//9hq8QukhdpR+oEwzqezwInTBE5w9Ts4H4/gEbxwe75eBwjkLU7nQ2yzZKaGD2FmxyX6IDJtIP1iR0WHoCF1HiJEuRoJ35n6vg0mQYOcQ4yAZo8a8H1E2lUxrVdy7ELiIAfWBq6sL8nRLTpmSM1NKJJQ5zVW995YhDbXOl8f5AJX47H1XX3kzKjlnS48XK/To1fg9xoG5ZUo7Yrdl409wxTRY5iRc316hugMdEZ1RSXXiFHC1GIZVRoTiqn5QnpGWEeZqiARLWXcSCAKZRE6JogpYlphzNvsSTeymW/quM8+RG/ASKc5KEJi6tKkFd2HAuYhIB1q1TrTxnkx40QmUnHEy19IZgjNZb2Lo6eJAdB7fjiPRCoiWzFTmZQYvktmNL0l5ZsqZXGA3gXcRB5yevM04K/3gULeDnPFqysfCoSxE8J6rqxtKyYToeXH5TW7GK5Iq3RDpuw1XtxekMnJ1c8U4j6bb4y8ZhoHTYWCPZ06ZKWe8i2yHLX2IzOmKm/EjCpnBb4DArLtlNtuy/px0BL/hZPsWFMf/9bf/B27GF0AmilBcq7hUlhmvk4DXKrCpWjWlJs5PP8fjk3fxvGSavs6cZqa5gr1ELdpaOBk2UAol2f4XV8+JsSPHgnYT+zIxzgUfDoZJnLLpep4+ecrN9Qt2t5e88eQJZ8MTot9S0kx0AUU43T7ixcuXpDSaVzZEYgighzIqbdJ/DEbW8YL6EVbWwrEmKB+2XYvSrbwhRybrrrenAnddfV+HTMA4dPV+Hbw5Qq5zV6EccXykTvhK5b01jtBhPzvnujRGWbfLHZoswhJqa74qaddbJzDt19ZHDSSAHABQvSx7d+okqXpBF2/GKsXrCOAcCD2r39qxWO2z9g7BwathF9RS2teSPIdtjlcsTdGV5+fII7TyGiGr5+Gh+/jAbb9zlYeVqw7R41UPCR7eP+Zrf7qzXg8tOGrq/TDvJx3rU5/0u2T5toHPT/3UT/FTP/VTr13/b/wb/wb/1D/1T/Fn/syfWX77vu/7vuXzxcUF/+l/+p/yX/wX/wX/2D/2jwHwn/1n/xlf/vKX+d/+t/+NH/3RH+Uv/sW/yN/4G3+Dv/SX/hJvv/02P/RDP8S/++/+u/xr/9q/xr/9b//bdF33qdvrAPGWZUWI5G5AuhmdZ7xYjS2ct8fUCc57M5rOqn97H1DNSBBLeQ/gXCYE6HqIgyP2kdhH+t7T9YG+7+i7yuHxvoKeNlNydfbVgfhlZmIUnFxn7Mbj8dGxdUIIkdgN9HEghMDVpefq+pI5T2jJUApJb9jrRE637PsTQheJMdBVDlCRRAgRdR6IRvAuVUnYgT0KEe884jI1oZxxvmHwPdvthqyFrjvlnZM3yClxdfWCV68+YkxXBOchgkioYDFUzZVEkZE5z4CJyJl3R0Bcrf9VZ/GhEqZzWZSi53kmxbmGvQrTfGXp2OpA4kHAzcGUFOc6gq9kZmf9q8mSsZWAakQZQDMSEt5nVJJVoRepZTECQQJ92BDcFuc6tIZLvBaCjsw5MOVMYUR1JOseKROoKWfvx8JJHJimQt9vEd9zO32Ad3C+GRjnxG7aM43CHAshRE62jt1+pIjy8uJb4AVN4IpjM5yiKK8u3yPnCS+euSS6Ycs0zkTnePboGdOUSUW4GfcULVzvL0FmEMFLrGTkZBycbMT64DrON29ydvIWz199g4ubbzJO1+SSEQeDs4zAMc9GKHZVygBHcFuoOlJZQVVJecTLiOOG4Dtu9TFXNx9xcTVyu1fmZDIKMTjeevaMIW7ZTS+RUtCcGfot897UuM/OBpCbmgWXKQp91/Hsjafsbm8Zx4k3nr0JAqlknGRQtXIgaoVnFQv73u6u2IvSRxNlbCRnWHsYZAm/vC5teDGyd4yXGYyHRn79mGM9dOxmNA9m+eB9aACmlqSoNdbWYapDJfdD2GntzRFMeoOCTXyc4MoqTZtD6HORMHAcwMddwHGESeQIiFCBxnIda5DRumbxmKyAwxp4sD7ecZ/DcRr9Qxld0kz8wruBJobYTH8LV9n6A8Cxa2vPxYHY3EjjDfQcpAD0CJzcT3e/66+Sxdt1t9UPg6JPAiGHtfe3eQBJfSqU8vq2fLvH+m7BRd92qOvjllIKf/7P/3l+z+/5PfzkT/4kb731Fv/IP/KPHIXD/tpf+2vM88w/8U/8E8tvP/ADP8AXv/hF/upf/asA/NW/+lf5/b//9/P2228v2/zkT/4kl5eX/Mqv/MqD5x7HkcvLy6N/AOIjzkdLfXWOLka6zng84l0FPiwzF+cCTkzTQ5wBphA9Xd9xcrbl/PyU80enSyjr8aMt5482PDrveXTec342sD3p2WwGhr6n73tCtFCWVWXv8WFjys1i52Ipulj1OVz1TDiH9x1df8bZyTOePfocbz/9PG88fZfHj9+g6wdUrFp4miamvWnJXFy95MXFC15eXvLi8oaXV9dc3lxwef2Cq/0LpnRNThNaTMdFs4kUGmgJmFqypdqrCvs8cjW+4jZdcDt+yNX1ewiF85NHvPv299K7N5iue25eZnT0RLYE6YyQWgo5ZbQKpC2zPnEIzn5rM6wafjTQGejjCRRIyUQPc56Z5tn4OGUi5T3jfE3RRNKMOsWHsNxz7yLO2f11YjIA3gViGOjiGSFs7MSlkOY983xj4S/dkUkWggsRHzd0cUuMW2LY4t2AEBAikS3Rn+Kcpbo7L3TRnresM/vxmt3+ks1wwpf/gT/EO0+/hzefvIV3AVVX/5kisbjAyfYpnh7vhC5aKZOWin9x9ZJx2iNOONluERX2+5E0z4gIfd+BFPp+QFFudlcWYtSW2Qa57FFmG6TV04VIiJ453/Di8qtM+SPmdGnGUbrqPRNSnlC1jMFW7sSJJ4QBkQHvtuaVqJIHKd9ws/8tduNECO9weStc75VxBvOWWFX7/XTN5f45t/trRBwhbHj56iVpnnny5E18HDg5PbMK7b6jixseP3rCOE/sxj1vvPGEYRhqvbLEmEbGNNXyHUopmdPthkcnp5xtT+i7jmmeuLq5sqyvBaw0g660kit3lzu+H+6GUI7NjRw+fsJIf9dU18jTURjKzrYCPlBlClbApvYrNax1FMKq52nHrYc6hLtwi8r6faC0NGE5yDrUo3eAjv2/9VF9z6X2cz1XAyxgYFlrAkHrK/u4Ci+ueuru93udKa9Zd+ThWNDY0ZaHkOP63Evg7Oj+LHvI4ZTt53thy2X9Q8DsfntXTyWvOdRrjvP676/f6mGw+PHLdwN8+e0v31Fy8wcffMD19TX/wX/wH/Dv/Xv/Hv/hf/gf8hf+wl/gp3/6p/kf/8f/kT/yR/4I7733Hl3X8fjx46N93377bd577z0A3nvvvSPQ09a3dQ8tv/ALv8Cf+lN/6t7vxuFRxNUQFkq3GcjTnpIKPljtJ++qyJsXQvRI8OCceXgEggQ6v6XvPcVNRD8RO0ffB2IfiAFC9ITY4UKk89EMsAvVw1ErptcRpNIga0o3Nouu4217zRy6kJOdero+cu46REwRec6wnzPTvqo0zxn1GZkKrotMSYkuW1VwHwhux9TtSd05fdjgpEOpZQBKRoMnOOPTuFqNPQPU2lZFEjPKNO14/tE32V1c8PjxU9566wuIfI7LqxeM0wXjvCecRiuZ4ZSca1XxAKV6fLDAHgCFXEM+ugxKXRhMNydjJSicomQ6Hylpz+xGCJExZXCdVd0SwYsN4F7q8TWjaiUytJZa6HyHd5E5F+a0o7RZYDGRxSwzxU3kvMf5S4LfEtx2SZPOVSfI01FkQ3QzXbBQY5apljZxaCrgCkVHXrz8Ftv+CapwcXVNQYixwwfB+4HgPPskfPFz38+ry/d5//lv4r15Ch6dPGXotnzjvd8wRW4H+ebKxPzSjAhc39yS0nucbE9QZsb5ttZlc3RxIOVE1gmRgmhAi6/PewaZK7C0DKBNPKMUYT/tyGm02mZSBQzrjNr4XDNTugAcT0/f5dX1+8xlz0m/JXjPi6uXeDcTw4ndZYuIWcV4FAnCbb5F50LwyourD0yUsiio4+XLDzh//ATYMk0zpydv8vj8LT58/ht8+OFvsj0ZOD07JxcDh6UUcJVE7rxp9bQyFOLwzhFDZOgGK7LqOpzr2I+3ptqsZfX+PTCw690vDxgHXZnXOvVf5vuLpX/o+K+fUR88SeblaVIFLXy1AJHG98HuY/MONLBjxGHzBDVPaTPodlvNQ4RiMh3Vmjdh5/pqHqDdOvV/AQsHcLBGAusr1rblCjw0zGMVU1o21eJQsf0aCX+FKg6+lPaD3O/NevLm1TkORbZZVw37Ll6f2nvCgVheXUtrSYJDmjuH2merLLC76e56p02rht/5fWn0azHGa1c9tGL92+t2XP3+HfHdfIpNfqeW7yjwKZXD8c/+s/8sf+JP/AkAfuiHfoi/8lf+Cn/2z/5Z/sgf+SPfydMdLf/6v/6v8/M///PL98vLS77ne74H7yK+po+nebaBMUZ8NyAhIzFUXYk6UIniApZWHZ0BGmdZYV0EP1g2UucdIRrHJ3YR76mE6Ggp8j5UnklTGzTQ1d4ZxdfioWAmP9d31qPMNC6Fc1RdHNPK8X5gM5yTUmE3zez3E/sps8+3dn0T4BM6K11UOp/w3poQnSf2e+Z+xyaeMMQTAw21lEUuBYkZq0xeB22t/YLFxwuKRM/5s0dsNp6bi+fcfvM5p6ePODt9g212FO3YjROJBFFRqdowWTB3VhsNLTOtqeiqCkkV5yJ9f4bQoQX24ytmtdTy/SwUMtErMFJwVv3bbytnw9RBiiYKBS0TRUdUZ1RHQEla0DKD7gwYlWzClqXK+6OgiZyVXGZS2uPkFpEO56LxWlxE/GA8LRdQZ+Ue5nzFXPamIp0cOkcGZq7nK379q/9HNb6enHNV925eH4fzjg9fvUfJE9t+w5xHvAtshmcIkf20p+sDLkCaUi3maZ5BxeFjx5Rm+t5ztunJpWOaE7lUQUhnZHGhY+hPSXoNbqpvjA38rfTEnPeoJJwz0nquJOxSdAHwRQul7NHiud59ROgCvZwSRNmNN+ymmT5MDN3WCMoJoguk2VK0hmEgaTZxT82kMkOmlqKY0TySX8w4CaSsTBOA49XFh4grPDo/w3tXlZpPQDtUTYLCiWKCoUqpz28uM1oyThzBBUSg5Mk8HS6QUyteWwHAAm70YwzFwVLcY0asDOTx8kmg5/5vS9kIxDxr9R40b8PKX1y1ejhUaxd75fIKAGUOddy08uhMRd3O6+rEZDlPvY7le7Po63jUgnOOM+QaqGn+pParVh0aJyuoqQt2WcOS+v0BUHMH9Kwxw92t7oKk4/DUHd2lOwDpfor74RoO4a0V6Gn3ikNg73Atd54UgXV4bOkfPmF53cWuV/82lnv7Ca8B63//Lt9R4PPs2TNCCPze3/t7j37/8pe/zP/6v/6vALzzzjtM08SrV6+OvD7vv/8+77zzzrLNL/7iLx4do2V9tW3uLn0NK91dgvN0QZi8N9OtmPhfFylZqo5PwHWBEIWuc3RR7Lfo8UHpPfTRdHhi78CbBH4MSug8PnQGLhw4H2q4rNapqjMkbQzBOtttejdrsuhhiGBFlKsDUgVmJtDXsdmc8ijNTHNmzlai4jpdM6UZTZkyJeZYmH3GezMEguJ2I8OwY9/fcDpYuMeJ6d04H9GkNP0d1GbfymwZNTVnuODBefqTU1yA24sP+ei9X2bfe4bTU0LsiC5CGEhz4ermJXGIuOhxQ4CuXqk6nAxQMtN0S+g8YduTxsK037Pd9pQQYPRVYVdJyfgqmpMNOvTgHM4NeGe1mIrOiCZSsZpmKU9WfVsBHCnPZAqeGUeiiJG8xYmxraXYoAgsqUfMBg4zFv50YQkNbkUZ0zkx9NxM7+GyknyiOE9C8Gmg73aQR3bTxJgxo1GE4CMlz8xaLKtv6NiPid6fcnEN281jvufdP8Df+MovknNiiKd0feCj3UvmXOiCh6J0Xcd284j9dMPFzQW9j8QwkMvEOO+BVEmkQtZM8XsD/susWhDXM+eESgKSjcZNnVsAUaI3TajgPd7Z8+ucsJ/35Cmx7TxTycw5MSdlGnd04ZT93oqLFrXyHArkLAx9T8oGaksubLoNORVyGvG1dloqxi2a5h0Xl9+g7zxDH4FCyRN97Ig+mko2Wj0GheCa/MFYi/NCcNHAcQUtorVgsQskJit3ImsWytpro4uxWb4j9ee1P2O1rk2oHrQZd2f5x96B9bJ4INqXdkuoyuj1n03eDr6XJWTWtm5/GkjQg/dnzZURp7hStX3a89GMevt+1KYVKLmD8+7CvvWvCxRaXX/73Lg/a+DQ9llBFPt/Q021XeYtWp95xY1peG0FQI6P3YJs99POD1yg2v7Fq7fy/tA68gASl7O/xvOy3PLlw+r8D/bffSxyfCXHx/nk3+5u8rpn9ttZvnvB0ncU+HRdx4/8yI/wq7/6q0e//9qv/Rpf+tKXAPjhH/5hYoz89//9f8/P/MzPAPCrv/qrfO1rX+PHfuzHAPixH/sx/vSf/tN88MEHvPXWWwD8d//df8f5+fk9UPVJSyMs+xDBe6RknDMDHUum7wKxC3RDYLuJbDeRrjdgFKMDr0RX6DpH33tiZ2EjEU8M4LyrXKE6CLlownn4o1mjlHV2QZtLNdG4FfDRlvDdqrED0iorF1Sykau943R7yqylDvI2rbu6vmLemzrxmBPZZXxoWUyKc5n9fmbX7xmHPX23pYsbBE/XD8QNeDHBN0dBSkKcItLX0dW8WogzHZ3YM5w/QXxhvHyfiw9+iz4Km22PjwPD2SNOOuX25pLdPLN9fMbm9BQfOoIbONt8LyFELuUDkr+hiwP9sOHlqw+5vb0k9ltUHFocSiKlW5zzZA2kckv0WPjGd3jfW6FWncnlhpRvKCWhWkUVxUi6NiBlzMtmZTRQ4700j1EbSE2zKZGdx2FK1a4WwhLxBN8v4RQlMZcbCjuroeYy4iHGSJkjMkCWwtV+RwzCdtiwGcwbIs78aansQGdevLpAGXj389/Ltz76Ks9ffoNSlIurG/xOMHlCeOPxm2iGzeYRwQdevPqQOU+EjTDEDX3fM17fWMVztfIFWTIze3yrTQAIxq9Szaiz4rRkG6idN1Xf4IwIvZ8mAw1NTdl7vEaGqAQ/cTPvmJMixZGScrZ5ymVMwC3izIOai5LSxHZzwn7MFlpJSsKEHJeSClhpmYwR8UUcm6HnZDtQSuZ6dwtscGRTpq7Zd6ZfUyxzkRWpvhLrF1+rGpFeNNvMRRvrR1YA5O7gvbJcd+zDsfHRh/7cO5beP8Brl7WTaf3bYecVn6euPQCghmWlhssOPglLuNCq9VWPtITCaskSWvhd2sgFNKJovV/txMrCA1r7bI4bXsHSsqseb7NCPLpaf9DO4e4ey04PgceHuvaQ1bcCJ3cMdoMg9rf1sR6Bq6NyFtLauExjuetVeug+rk72UG997LW8Hiy/7rcHgNid633oyf645bcFcX6HvEnfNvC5vr7m13/915fvv/Ebv8Ff/+t/nadPn/LFL36RP/kn/yT//D//z/OH//Af5id+4if4C3/hL/Df/Df/Df/T//Q/AfDo0SP+2B/7Y/z8z/88T58+5fz8nH/lX/lX+LEf+zF+9Ed/FIB/8p/8J/m9v/f38i/8C/8Cf+bP/Bnee+89/s1/89/k537u5x706nzcYkThQNcN5H5PEgUCMQTEQ3CZPgjdJrLZBk5OA8MQCdHho0MrZ6CPjq7zhOjNg+JYuEPinc2QxAif1Arry+Oj7XE3Ld2CYqJ92QyNpjr7rGKCpri3EP60giEhWwhOE94Xui7ySE/xdXae6zVflhvmcTRyZwbN1a9UFC+QPMzziCbYh5kQdsTYcyKJLjgrW6ARqSElFY+SScXCP6GCSRHFa2RMHo1bwqMvMMRHvPe1v03vLwiD0F99wONnzxi2jvnqhpfPX7Ebn3B2/hZPzt7ltP+8kYXDGS92XyE6IyW/8eRzfPPDr5L0hr47ZdxfUcpMzqPpBLktOWVcF/HBV4BTDRkTU74lp6taaBQDND4sKdcO8/JkzRTNNliVVHlHzjxkrg2ihVISGQg45uJNI0hiddMLgidIR3QnjDLg3YzEQtJMyiaNkOaRs5Mt4zzjKvdpt9/z6OwJfbdBKWguTCM8fvQFYrfhN772/2Wcd5ycdJy5NyxFWRNFzWNydvIOKWX20zUvLz/ECowHbvcj41zIRQjexAZ1rkNeVAq5KvaapcpFoYyAeYEcRpDVooj4KnKnDH3HELfcTHvmPDN0jqKFk80JTgq7aV9FJx3ihXGX+ejFh+x3t4TolkKpQe1ZvLy+JjjIxcjnuWRyttpw9qyVCm5lKSlj58rkknCuZz8Wxt0FQQJOIq2o5BAHhuHEwA6NeA1mSfXAbVNwJVvZipxXHpxqeu7NqtdfPnblAzP5g7E5Huofmv7fXVYrVuBCkcN/C8ZocgNCbuToinwavViRWuPU+mu9/xqqHHgqLQRo/WhSmQfAs4YN976vfrvD/H3NdcrRp4f2kNX/jz4+aM8PYafXeSLu298VTDg4cJZ7twToKgAyMHQMzET1Nbez9nVdf+TpWi7jHkw5AkXr4z7kKXzdY/Tw1X8S+Dhe/23DlO8y58+3DXx+6Zd+iZ/4iZ9Yvjdezc/+7M/y5/7cn+Of++f+Of7sn/2z/MIv/AL/6r/6r/L93//9/Ff/1X/Fj//4jy/7/Ef/0X+Ec46f+ZmfYRxHfvInf5L/5D/5T5b13nv+2//2v+Vf/pf/ZX7sx36Mk5MTfvZnf5Z/59/5d77tC1TAeyF2kbLZErzNbELfIwE8M0Ok6vB4NlvHsDUvUAhiIRCpnJ7gllpZVtSvThJt2msvgNTq4bRBQxfgo1pqyq8ZUuOeVM9OHZOLZkQTizO9gp+ixVSJ2/Yu41XpO0/RLVOarcp05THglHE/kVMDT9WHJEAuyKyUPBJjwrmJGK12lyuZPEyIePMQiXmvrFSFkEuHKzO4zkJjFMukCgb2zt56ytnjd/nmV/8Wzz/8KsPuinGacL1DgmWgXV4WxqkQ5A2enU1E6Rm6E7iuhqu+Jefnj3nx6jmikS6esNvvoRhY8RWUmABdNG6CagVoM3Pa13CYGTbvW/aU9bGr2SVNgbuQTeS5pkxDMEccbZy2sMpcCrlMteCqeSC8RFQzDk8Q000SiWy8R0WZJFDSyH7aM6WRs5NTLq8u8VJwvjBNOyyxf8P59i3efPSYy6v3+Zt/+6+T2SHBcXE9UtRCQ2hBnKMLA9e3V+yma0q6Yponhr5nngspFVKaGefM4/MzKI4pTwjmMVxorXU23eQUTE/KvE/NS6AFhtBTcuZ22hH9lmeP3uTi6jlSw15DFCt62r3B7vnI7W5u1U7wKKXMxGCZXFmFUpQuRso0kYqB/Og9JRlYz3MhJShBrE4b9v71fYf4wH6/q+/2Hhc6RDviZsMQtpaVKXLI6tMDd6UZD9MbavIRgpZMiJFSqj6PvXyrcWRtwpuVWRlSPXw70nK5NzVfQ6I1aHr93NyObF7ho9To1owFGRwAzPH+do3N21Na3S1hGXua5bUxS2rIS5ew1tLi5ZCyKAitmyy6zgc6ZEjd/f/6Kg94RVb92aCFHC522f2YQ7QcUe+vO15kGZNb/xzu1WHPj2fXHHt1Wr9Sm7hWfG7tOdQcWf89Pt49V4+u+6v1xcEr9cBjdXS87wzGOLTpXnM/duuP/+27AQSJ6r037jOxXF5e8ujRI/70L/y/ONl0ZJQ8jpR5B67QDz3dJuBdovOFroNuiGy2W4aN6eA474CESLHMr5oSLw6EDM6yXZpMqtXH8TQ86ap3IWte6hKVYr8VTWiZrYo2lo2hZEoZEZJxDbDtjfQ7W9ZRNfy5pOoByYyzGaTr6yuuLl7x6vKSF68uub66YbdPzNm8Vpq1CpfZzFtF8c6qgofoOd32nG4s1OQrkIsuWvYLG5QT1J0S4yNON4+tAKxOTOM1t/tLcoIQNnhvgo2vPvwmv/Xrv8zVzfucPAlkr/jgScXTdRs2wxO+593/B4/O36Ufznh+8S3OT0/wFFKZGNMtt7sbbq9nHp2/xfX1e0z7D8h5RMKWLp7T9Y/IxdHFDZvuEWhhP18wpks075aBKIQt4reY/o/WLJ5kZOT5hpJHqpQgqYAVdLXCr05MADInI+WaerClcnfxBO83eAmUsud2fsXl/CEqE0MIOCwL7vL6BS8unjPuRx6fvsHNfqQfTtgMW0IYKCqWbYanpJH3P/oaV9fX3I43SPRMqTClAsX4Wl1XvRgFYufpggkyivMGLBRyKtzsZs42Jzw+fcztbmLKN+B2uGDFPaU+t/MMNtrWwrOoectU0Ozpw0DnA1e7WxTzbJ5sNgzhrJb82OFDIJeRm9srPnxxQ0nQh57TzQkvry7wUei7wH5MoDVDiULKSsDRe09OyjgmUoL9WHBe8N4EHrvoOdlsiV3gZneFE08/bDnfvMFp95gunBIat27xGEidPFhIq1nvXEoNnVX5CvHEbkNO5vVahE/rMVYWfxljlJVxa0ZpDWxWs/116nbbqB1da5vaUHyYLFm7tZTVNaiNA+RlPNBik6JSvxe1KvTtey72OefD9mXpAysBUop9p34/eJvbpI3angbZWluPrLRBlZXX48AFYuEbNXAjFXCZMPQqMw3zVLnltwUCLZloh+U4O+y1i975uLpPh1tyAJey3LMV+D3CqQcO5vpvu2+0/qPe13a/j/aBI/Pb1t1t85GFPhz33j53H7blOtfb3v/9KKR7dNi7x7mzzfqky587YF/vX8/9bV7TRkz37/z8nO/08pmv1eW9CRcGlOCUHGZCgM22YzjpiB04SQRf6HpvBUY7008RAXGW8eFEFhn45u1FnHkUxHg7AI2RZ16aCnAqZ8GyYDJFJ8tkagOdAFqsWrom6uuCq3yDogolGWgqFiIrRckZUk4oE85l+j5STk4oxXR95nEizUqak6UQa1MosTRnFQNnua7boZQ043d7A3khEIMnho7O7RE341zB+UDRTRVAU1xwxBiXrCoVIWnh9I23+P7zH+WD97/Kt77x64zlFqLQdZ45j+wuvsHF7XOePHmbLjzi/PQZZycDk87MeYeqhR/6ITLnZCn5YWODp3i866oBdZXb4UkVMHqJzGWu2T2OQsSp1fzqQk/nB0DxaYPIK8bpAi3m6XJg6d7iDfRJRFG8awbFymnktGOvCedu600sZGaCdJSWVkzCu8IQA5vupNYUU4LAze0LpukSEZjznhg9UTxalN20Y3tygo8wJQO40R3mfjkVfDD+DShTUvoYKOo4P3nKfp5QnQhhj+RE0ZkQhakUmv3PjdgKiHqEgkqpRS7L4s4UnHmr3EHteMozeZfwJx2b2DPmHTm7RWupFGVKNou+vL3m7Mw0k8Z5b+E4tWyxkpXz7ZboArubPaoQu55CRuYJcRj5uJL9+2HLze0FORdcjPRxw7Y7ZdOdE9xmIe0us/r23C8Gfs1rakRdxWox1eK5pc3+1wawvt53R+ajXOVaJw0eBD33PUjHx37w+Mcno/EDj2qB3ZlBN+LuklrevHsVeDQvxZG+D3VyBIeMrfq0meq5TdyaA6O1dRXQZ3HOgD07qz46eHU4eHEWtLT2EcEBtB5+O3xvXo/727Wjr/dZjlBv5PG26+Ww7/H6Q+ced7MgKw/OUsR0DX5rtlfzAB04Pmvvjtx7CI77ioNkQLuvTVCR+/s9dFWftDwUJnvYKfPJR18HFL+bl8888HEx0EVfs5oC2vVseui3HcO2o48efEJcpouOEE27x/tSwY6rar5iA5trs5aqO9OKZC4UP1kQ/mHm1HgixUBPyTWF2xapAxqaQLMZHYoppmqhpVxbMdA2s1NSVlIppFxnr87R9R3bvGE/jtzuJ8YxEbzAXJi1ApVKSvU15p9KQTNoKUxzJrgJV8NXfXD4sCeEPd6NdN1Ecaa66zg1HojOBAd4u24R06AuJYEPPHvni5w+fszf+lv/Fz4oQ99zcXOJc0rsE9N8w+Ozt0Dg+eV79H2wopOqOAk4J1xdv6APig8D4juCHyglmvCiCje3N4gMSBPYKwYabQwPCB5QvIsE1xOcebW8hKr3YtlFWbOV1lAjwRpR3TRevFdgrtdc73ExEOpESTmTpakRFbImCntKHhFRhs7I1arWB+PtNUUKJSsqSowBTckAm9eqVOwZ59saEgXLWjO+Vhd8vaqCIIQQSCWw6R8RQuJ29xE5ZQTHxc0FQ4xYdftmo21E9ViIUWWmYMrHNCOIiXmmksma2HYnRLfherwmlZGie7LumMs101gIrrfad854UuOcUHGkbKVL5lxqmnVh6CJzypXvlMAJ59vHFBzzqxd0nTOPDzYQO+fYDqfsbl/Rx1pDD4cpoFv9uKOZb/2oWkg5W70vrECMr2VaTNvGnpmUpwUE2L7NTJdalPdgqA8eDV22vGuij1ux+txcDMtP+npjsQIZ65nyAdwdzrwOG9URZfGkHIVNpKWls1i8logh9fM6XLcQgNt1r0DLcZAIDnCEBW+sVrH+ZektbeeXxdof9UbDYXcPte6jO+Dq3pb3AOZDW6/AKh+/LNfdSlks4GHVP0cAqJHIOe7L9bmOUM4Bex7DsQU63vmux4f4mAu4C/E+PU65B/0OPfbac35CY36Hls888AkxWM0qSfRdjxMYOiUMjn4TLB3Y28sdopEnxRsxsxE8Fy+PWnqnmZpSH/Q2sxEWuXulDqbmXtfF02MVwFXVDCx2LBvAMmhGxICOraoASSdUsxE+a8HGnB2lCKk45mIZOyKYeGI3sNls2Gxu2e89c5oBISclFbVojxivY3kkVdlNikih8w6XEiEoEkFmATfiwkSfExk1YOgm+tBjBVDFdF7yXDsqLSnETjzdcM73/gNf5vLVh8adUiVpZpoTuttcqrIeAAAhZUlEQVQxTde8unjBze6CJ48f8caTN0lpJvhHqEaCN6NvHp+Il85KVPjBANu4Y7ff0Q/R+jcnSqkcHNcyegSRwu3+CrcNoF0dMyPBb/HSgTi0cZpyIYYNIp4pjczl/9fet8bYVZXvP2utfTnnzHRm2k4700KLLWCJ3BSUWhU0oaFF/4qXD4jEoDEQEBKNiASNon6BaOIXgsYvwhcD0YRLYpAECxUxBYUUsIANLZUiv04Lbed6ztl7r7Xe/4d37duZKaD2Ol1PM50ze6+999pr7b3e57zXBAIcdVUKGCcUyEJKLoRpXDFVMgmALogyWNKA0FASSFMOrY+CGDNZF1IAcRCgEcboWIsoDCFIotM1GBocxXRnGmEoEQqFpGtgDaANkCYGoRIIg9xsoKCd0sHoBJ1uF5lmU2sQcCQcL8a5+Ye/ORrDz6pQTIps7qdBBK0JRNql6+fnWEjCgmYfMiOxcMEgjGmjKwKkWYKu7sJqjgBTscTUTAZjBJJUc0JLoaC1QaSEqx8nwA7VirOpu7xVrWYDqQITIlezra/ZQprOQErLmc9DJpLWllGS/EaVsNbAGAvjtD1KsI9eHp2XiwxtDdisXY3qK88mKoyqUPBUiAjm2lZ8Jsy59s8SxlQ0LcwlVUpE1TsUpfCuCMdCTyN6/xZFKYvcSZlz/ORJESslHEQ19hTIzcMiv04hkEsCJWo9qPxfci0QKgSsIDOV+yjuq2xZJUL8TIqCpJXtRH2IRc8HgtPKVEe7VyCXFG4uPcasyaqQkpJI1AkQb3J+dDW6kZOUMqKumNu5ukXl50JrlHPu3Neoiv+UZ7hz9dDzOTD3GJyImPfER0hABhJREKARS6jAIg4NgkaAMOJCnsL5NaggdKHqEsJ5ZkopQUIUIaASeYhzvjxxAh9OxiXyr2KlLZ6MC7F2n51/DlntVKPglxIaIMsCNBdMTgtETkPE/j0C2jgHUMqdUgP3ErqCoypEGMZoNFtodLtItAFJjQAGMAKaWCNDggDD0TOOoXFkGQdAcXSOUBCSYIWFNEnxlgfSQKADG/W5UOEASsSAkLCWc71YSwCcSQ0CCxYsRpZlmBjfi8GBQaQmw76DB5BOT+BgYy/iKIbWk3jzzYOYmt6Pgb4mGnEbQi0AEEIbQhT1ce4fEtAmQavRgNEZFg/1IVAxUtOBdcnwrNUuE7VCFDQ5m3GQopNMIcmm0NcadLXCbCEMpAihZBNCCmgl0NdYhFDFyHSGbjaD1LSR6WlYm6Ao1knEJk8YBC4ayZIGkEKIFEJmCMgiUhwWLI3ATHsaUdhAK+xDZlKkmcFUZwYAh3urIEQYCJgEaMgYImShTIaXS20tMmdK6m9G6CQZJic7WDi0DFmmMTV9oHAA5m+WCoQASnK+HLKGSbxlR2KLBFHFn4IIICtY6MGw+cMKaBh0TBdCGDQbEmk2yaJHxhAwSLMEpAUkJKJQodEgpNqgk1iEAZeAEVAcnWYNQE4LBK5A3+7sh5QRWs0WGnED7U4bnU4bEsDAggG0O5OwsGgEClJxjb3MaKQmRSiZyFiO1WZTmjUwxBXuAfflQJSkp1y9qTAzu5cyV3xVBAsV2/M2cKtALorr0rcqGap+GBVCVO6pXCPfWiVO3EdR9LWqLejVVDgxLIBqLpsqwRBOiOYEp+qkyzNeZrEuSVGdHFV+zUaPQoV62wrU2FkZLo5Zv/kEVGh1qMLsynYVstR7HlGOSj6Kxb3Vjujt4KEYyNwtq5SvvP9SG1hmcs4do1Ezf5Waxt4LiNrzMpeuqhyFvP2hDU6Vlv8h5hqDE5P9zHviEwYCcawQRwKNWEAFAYelRwpBIBAE7luPK1chBZVRLy7RWf6K5f42lrO0gJcIrvSMgoRw0VAOVeeClezYjNKx2WpY0o7k8Lcpi8xlZuHq5lzgk4mPtQaZMdCWzSKwbO7gjMuu+KaQHHoMgpASQaDRjDWSZuKis7pMpjKCyfgFtACbhDQ5/yEmioI4SA2QyGz5QlqTQRJBCYuuzEDUhtEtBEGMQDUgRASJEEQBDBsUAATQmYtEI8Lg0AiEEBgbew1Di/pxysgIZjpTeOvg2zCGzR99zT4ubtlpI1IxyEpE0SBsZiHBjqusOcvQTSYRR32IwpiTQ4MAlyJASAmIgNPREJAmbXYKFgRLCbJsvNBmAEx6QmmhZAApY8CwuTOUEVQYIlARrF0AbQaR6mlo00FquoDNwAYjTg6obAaQhiEOz4bg0RCSszMHoYRSbSRZG43GAKQM0dVdpFojDpxjrlTo62uhFQ0jMx1MtsdYG0JgsxERjCakJDA1k0FJiaHWYvQ3hnBgYi+SLEGgBNLMoBlHnGYBbLqVxtVKshKZJiZT0jpNjyoCB4VVnNGaLCAUGhEXXQ0bEaRIoE2K6cSgFQ+AbAYylsP9DWsW40giiiREIGE0R4kZrZlUBbIMqRbK+ayxusqYFO2OQX9rAfqaLS5amnGG6TRrswCUkjU4iqCNxkx3GhBtBCpkfyUROlOp5AzqYBWncVm6cw+sglQQoRqgXbz1Nv9caluqIc3l6lDinTxJZm0rvVyLfbkZtTCJ1UxjVXI1++zVSul8l6bc57aW+cVQtGStjxsKJ5DzgyRRWbm9olKa5ZgrcsJV1+D0khTeVB/nUl9UoS+EXK2BQqtzSMJV2ZL73RQH1KlJQWDnHMKyTd1vu4cqVAlurjHJfXqK4a121vkBFWeqqoyKE7jxQ21sK3S10q5Olua6lXysaZbt650p0aH/fvcj3uNhxxzznvjETYW4KdBoSEQhJ1sLA0IQCigXMcJ+PJZ/hPvuIFzZBlF5GC2r++F8KiyU899RbsWw7m/piISAJZZW1hpom8KYtCA/ShBIShc9wyUWpGCpY/NIDpuCbMoZbA2HwxuS/GMFNAkQOPqItS0spJSyiCNCX0u7aBZ23rTQLsKDF/XMEiQJWOMqZuc+Ae7FNZqzGEvnD5FpA5EmgLAwlMGYLqKoASVjKBEjDBoIZINz8wguxCmkRGaywrTS378Y/X3T0OkMgthgwcAghArw7z1jrH43Hc7em3WhIBHGXF9KiAa4ur3kAplhBO2qvlsybh1hfyhBgcuozf2wMFw3DZJNZdJ9eyYNQh7dkoKUBpGGkg0YUmhn085HiGmplAoBhRCqD4CAtgQrJAIZQkkBIGJyCoKF5pIZcBozyfXPbJZx7iHK0OlOo7+1GEMDI5iY2gdjO+zbBQFDhDBUaDQitLv8HAZKgpBBGAJIIgoUjAGCsIGBwVEQAUnaAYgQhfx6d7sp4ghoxE0ISFjDGagtcekGE2j2IXI+VQSO5pIIAUHITMqFZkWGof5BTumgAAMJSwpB0AeZTrH51DoCRQJWazTCAIPNPkzPdNBNu1yyQ3GJikBJzuJsBZQMECj2AyKysCbD1PQ4mnELixaeilZjIbqdcY6wkwEgYggEjrNkMBQUJrrSuVfCgstuCPdPKeX8pBzRqWpOiPMb5cUfCsGcC6GK8ypc+0IW5ZvyY1AxrVSISk38FMdRhfCQe1erhMztL46hypWqpiIUsrRKx/iZ57VL5P0loObX46LYSj8eR6AI/M7VMhu6S+VrY7FAlutllVIVf1XbO5S+O1XGIHpIT71xr79P7xlKcli7UjH21T7lnIBE+Uevs++cMrxHuBfz7ohJTjrqJ6CSVFYTHub/CxQXFq4/hamzeM4qpKcw39We1kNzjhphf2f8J9zlBOA5szDviU+rqdBoCM5XExGULEmPlBySLmT5MOXOexbavfjSCT5m9EV9LRGAKGSSQyhMW+w7wUndQIC1GchqGJshswmsTVgbQZRbl+AKFIGcHolfCsPHmQ6szRwREs7EJaCtgKUAxio+Pr8D58grAkBGQMtF6ggYaGHQNRbKcEQNC3J+cBWkK0wouDyFe/s5sEcgs4CwhChkU5vKLLTQELDISEOii0CGiKMmmkELcQgEKgIQQAvJPbSc6TqIW/jIBf8PnfY0/vn6JiwcaMHoBAv6Imgj0e6m6CYJ4kCh084glcCMnkGrFSMI+mCthAw4CZ42XQjBGiBtNdekEgpxPIAwaBT5fSAU4sYghJBoNRswugOyM8hV5KJiWrS260yTAdrdt9BNJ9gpWkUIROgEB+di4sgvhVA1oMBO0sY43yxrIJSBtkyspQgQhC7nsklhKEOmLRLdgUxC5wxNEIYdfgkJDk69iamZ/QAsUsN+XmEg0FARpqYyJImFChVWLF6JVmsx3h7fDSgOZQ+DmOtgiRQAQesumlELgYohkLpnj7OCGwKMBqCcv5ZqQNgI7W4bWUbIMvD7owTiuInEpOhmCZRsFBFToQqQCAupOIFhM24g0SnnLFKKi+VKib5GA91uBwIhpCCkJkWSGQQqYDOwEz7GGHSzBOMT+xDKGIBFf99iDAyuYId+m2CmPY7MpiAoRKoPgYwBUky4IQCyLjrSaR4sm274Task87OsoVNSuVIX7o2qCK1aeE0ufQsJeaholly7kBMmR2xQ0qDSJ4SKf9XPVDCekvDUz5//EoCwdUmUM8G8yzkpFEWvnOmIStIk8rxHVWGcGwb5jbGg2cn55mY0ZU/zU/bsE4dqn1OUnAtRqQ0p5nOOEZl9njn6Ubn2rHvIeW5FP/Nu4r0kSxXSUxm3nGSVxLUic4roLz4RVca+agqjWRfLiSCV5r9ef5937XlPu+o5eg587+d5Z6fn4yHya94TnziWCGNAKQOhNKQitlBJ5RIQCheO7h5IYQCUeUD4lwYXkswXIjYvsTanjNjikHThIn0ykOlCmwRETttjMxBlyB2Z85cj1yJJkDNzGbBvj4a1CbTl+kZcNNOZ1Eg6c5oCWfbfIJf8j01dASxFABpoUB8saWgySFINkxloxTUrA6cKtgL8zRvSRbAJCCucposjygQI1rDvS4Q8L5GANKzdSEwGKwyHkCsFyAhKsPZMCk4UKIREGMbomhTDS1fhffoibN+5CSSmEIUWrVYTadzE1NQMUm0AxCATIUm6EDQNLLagvAK7DBCFMauQc00FJKRqoBG2ICCRZNOAJCin7cmSacy0x9FoRPwsIJ9DJ2ys5eg0WAAG1iTI9Az7fBFczhdO6mjddSMVg8gio9QRZ26jRAhLgUtwmBU5SJRkbVRkMxjiLNNZuwttM3CxSNbsSMFRbIQMxhUkFXBFSQ3n6hEksWThCOK4iQOTb2Ji8v/QTroga5FpAyssh8kHAZJUIwobWNC/BOMTe5DqDrTOoASbBEmAy3EQIBHxM2UFYEME0mJBfxNxLBCFEcJoGdrp6wABk9MHMTk1DdKEbmoRhQGiIEBiUme4BYg0opAdiztJG6EK0YwXIE0SZMI968Kw2dGtvQYE0hm06mKm85arIG/Qefs1EBQyk0LAohE2EDhpYy2PsQS/2wrKaeLcO055CD9HauXmZ200ICQUVPmtGzn9mAO1b/uitq3evudrP831m3LeU2lGxTNZ/lTK2BTnJNeD2blnhECRZYM11JU1LZdLVFIaUaxHJcEob6NXAFe0N8V9V6KNKtywaOf+q8j4npHKiUzVWyffll9EFGaymlnpEFqguVDefpXY1k9Uzn0vi8zR+1RUo9lKs1bBJmuHuHOKynMjyrkro+qo3r7at/yLKcrnr0YnDkGCekdg7j2HPCuKVAQ56eXOvCOVOR6ITi/mPfEJI0IYWa43JQ1UruGRFuQWRCY8bhGxFkKwAIULpBWwrKEpahsF4HDnXNPDi1Se/t4SwZgExrShTeLMXkx6LFxEFyVFjhkheEmyglhAUuYqSVsQlc6ZhgyI2BeHCZbLRowAhBh5SQzlFrEgkCBEINGCJYPUaPQlKXRmkVEGrQnSisLErBT7XQRSQilWBbHfBSAMsW+MsZBGQGtCoASHwZPlPEGSQKmGIANXKAKhzEAIwbWgAkjF5zGUYXx6H+LWABrNJRAihm3vQzedQhD2QyhCe0aj0bcQrWgBOpMTSKAxtu9VNJqLEKoWLAkM9C+B1tZx2QgECaU4cV6adWFtxvclBKZnxjE5/n+QitDXNwJimgTAzaMTh8ZqLvzIsXsgy47KljKODqKc/EZQQQuARSgzGEtITYLMdgAAEiEUIj7OJi5hpUWqU74GlMs9pNkkowSkASQJKKGcbwoQhQrWBOimHPINAXTSFEIIjIyMoNnXwpv7doKr1WeA4GR07SSDJXYq1lpDygCZSSGzBNoYZJkGCYFAKiaGQsBYy47pBGht0NdagGYUwdouWg2DKDLoZm/B2ib6o4UIgxB7x/fBECEOIzStKPzRglBBQqBfhdCZLrPZkvOdCppoRUMA3oKlKcD1FQCblQNXF82RoczwuBEZKBUBAlAiQCBjKBFCWAlIVMqIuEVaSLBzNz/oBFGklLBkIUi6Qr25TgPIhWJhAhG94i9vNVvrUMq5XPg4Ul1s73FGph6iUz3Gmaip8nfRvbxpfvaaoCuFeh6Qz9GpVHMTYbN2xe25ZChc0T1nGLmUq5KmqgCs3n+hWqqSHFE9lOfGaSmKSzjGJYoW5djO9v3JfXTqNKkY08o8VHrWI4BLIS7cDVW1LTw+pUmqzhdKQiaqmyjve/08tV5V/HmqDuNlfp7KdSu5gFCQ0XwshTtd/mWhpCrVK84ehbn2VZ7a/JkvqG712mX7+nUOTaaOR8xb4pNPUpp0kSYKEAmABKm0bN5x2h6RE5/ag20hpAKK7L0oX3Dib4uwGchpX4xx5MSkTu1voHUH2swgMymbRIjNXYZYoAp0WVgLBSt4UZIgkCtjQS502FrjIqTAvkCWYIkJj7b8Pc8iAwkDUAqI0EWsKNbGQAE2BlkDCY1ApQgC67Ija2jtXjYDGBgocG2nVLNGiiPT+P5dbU6EmYVODXQCRIFgc5gbUy0JadBBNyEkYYZIzUCpBqSMAIoRhyEkgCybRld2YUyGgb5lMLof3XYbaXsMNiT0Ry2ITGLi4Nto4yCaUYiZqSkcOLAfUXMAUdSHZt8wBlunQhiDtw+OYXDBQhjiul22O41ONg2jOwiCGJR1ef4kmyaThAUo+/lYnjuR0zU4f6AIRAHnI6LUaesspwSwEkAGFVikqlvkHUp1hjRNoY0BW0zYjKQtkJoutE2hLReRFTaAsCGMbsMiBZEFtAVpIAyARqwgpEWaGHQSnishCToDYBROHV0GFUbYs/dNQLBJkHJyThytJYXgZ05JNIIQaZKATIDpmRRplqHZCFmDRAqCFJpBBCFDaG0QBBJh1IAKCLEihCqF0Sm6CZsXdSbQpQSddgJtyPnIMdlJUsPEHAQZCYACmExz6RDDdc90ZiACiTDsA023kaYZ18Bz34S104YGEGi3E7TTFEJYKCXZQdmyGTrtakBlMFKxCdv9YzkqoCQHIVSNNfwuW/ZtydcBEvxOI6+XV1/oSdTEr+MWYs68KQWhKQgIFRrj6vYq4aHq33mtPufzRM50XmZ1zn0AyX0Z4r/LaFLLWmIqgy04/1Oe6ZlcbeQ8KSqVxxMBtlpK2bWj+n3lxINq44EKeSHkEUlUVc+Imn6ESVFFy5HH2+WElx2ySw1EofkQPYJelFoggdwTsyoTuHVOf6oEt2xDReO8PzWyVLnZUivjaEhBNCvjUZlLW53n4ngU41i9Rm1sqSQYotrHShuao181rVFtWy+JQWlqm2tcanNcn+/6tvL8s58Lqh0zO2P13DhShSXmbcmK1157Daeffvqx7oaHh4eHh4fHf4E33ngDp5566mE/77zV+CxatAgAsHv3bgwODh7j3py8mJycxIoVK/DGG28ckZorHu8dfi6OD/h5OH7g5+L4QO88EBGmpqawfPnyI3K9eUt8pIvMGBwc9A/0cYCBgQE/D8cJ/FwcH/DzcPzAz8Xxgeo8HEmFhXz3Jh4eHh4eHh4e8wOe+Hh4eHh4eHicNJi3xCeOY9x+++2I4/hYd+Wkhp+H4wd+Lo4P+Hk4fuDn4vjA0Z6HeRvV5eHh4eHh4eHRi3mr8fHw8PDw8PDw6IUnPh4eHh4eHh4nDTzx8fDw8PDw8Dhp4ImPh4eHh4eHx0mDeUt87r77brzvfe9Do9HA2rVr8be//e1Yd2ne4Mc//nFRXyf/Oeuss4r93W4XN954IxYvXoz+/n586Utfwt69e2vn2L17Nz7zmc+g1Wph6dKluOWWW6C1Ptq3csLhySefxGc/+1ksX74cQgg89NBDtf1EhB/96EdYtmwZms0m1q9fj1dffbXW5sCBA7j66qsxMDCAoaEhfOMb38D09HStzYsvvoiLL74YjUYDK1aswM9+9rMjfWsnFN5tHr72ta/Nekc2btxYa+Pn4X/HHXfcgY985CNYsGABli5dis9//vPYvn17rc3hWo82b96MCy64AHEc44wzzsC99957pG/vhMF7mYdPfepTs96J66+/vtbmqM0DzUPcf//9FEUR/eY3v6GXXnqJrr32WhoaGqK9e/ce667NC9x+++109tln0549e4qft956q9h//fXX04oVK2jTpk307LPP0kc/+lH62Mc+VuzXWtM555xD69evp61bt9IjjzxCw8PDdNtttx2L2zmh8Mgjj9APfvADeuCBBwgAPfjgg7X9d955Jw0ODtJDDz1EL7zwAn3uc5+jVatWUafTKdps3LiRzj//fHr66afpL3/5C51xxhl01VVXFfsnJiZoZGSErr76atq2bRvdd9991Gw26de//vXRus3jHu82D9dccw1t3Lix9o4cOHCg1sbPw/+ODRs20D333EPbtm2j559/nj796U/TypUraXp6umhzONaj1157jVqtFn3nO9+hl19+me666y5SStGjjz56VO/3eMV7mYdPfvKTdO2119beiYmJiWL/0ZyHeUl8LrroIrrxxhuLv40xtHz5crrjjjuOYa/mD26//XY6//zz59w3Pj5OYRjS73//+2LbK6+8QgBoy5YtRMRCQ0pJY2NjRZtf/epXNDAwQEmSHNG+zyf0ClxrLY2OjtLPf/7zYtv4+DjFcUz33XcfERG9/PLLBID+/ve/F23++Mc/khCC3nzzTSIi+uUvf0kLFy6szcWtt95Ka9asOcJ3dGLiUMTniiuuOOQxfh6ODPbt20cA6M9//jMRHb716Hvf+x6dffbZtWtdeeWVtGHDhiN9SyckeueBiInPt771rUMeczTnYd6ZutI0xXPPPYf169cX26SUWL9+PbZs2XIMeza/8Oqrr2L58uVYvXo1rr76auzevRsA8NxzzyHLstr4n3XWWVi5cmUx/lu2bMG5556LkZGRos2GDRswOTmJl1566ejeyDzCrl27MDY2Vhv7wcFBrF27tjb2Q0ND+PCHP1y0Wb9+PaSUeOaZZ4o2l1xyCaIoKtps2LAB27dvx8GDB4/S3Zz42Lx5M5YuXYo1a9bghhtuwP79+4t9fh6ODCYmJgCURaoP13q0ZcuW2jnyNl6mzI3eecjx29/+FsPDwzjnnHNw2223od1uF/uO5jzMuyKlb7/9NowxtcEDgJGREfzzn/88Rr2aX1i7di3uvfderFmzBnv27MFPfvITXHzxxdi2bRvGxsYQRRGGhoZqx4yMjGBsbAwAMDY2Nuf85Ps8/jvkYzfX2FbHfunSpbX9QRBg0aJFtTarVq2adY5838KFC49I/+cTNm7ciC9+8YtYtWoVdu7cie9///u4/PLLsWXLFiil/DwcAVhr8e1vfxsf//jHcc455wDAYVuPDtVmcnISnU4HzWbzSNzSCYm55gEAvvKVr+C0007D8uXL8eKLL+LWW2/F9u3b8cADDwA4uvMw74iPx5HH5ZdfXnw+77zzsHbtWpx22mn43e9+5xcADw8AX/7yl4vP5557Ls477zycfvrp2Lx5My699NJj2LP5ixtvvBHbtm3DU089day7clLjUPNw3XXXFZ/PPfdcLFu2DJdeeil27tyJ008//aj2cd6ZuoaHh6GUmuW1v3fvXoyOjh6jXs1vDA0N4f3vfz927NiB0dFRpGmK8fHxWpvq+I+Ojs45P/k+j/8O+di907M/OjqKffv21fZrrXHgwAE/P0cQq1evxvDwMHbs2AHAz8Phxk033YQ//OEPeOKJJ3DqqacW2w/XenSoNgMDA/7LXgWHmoe5sHbtWgCovRNHax7mHfGJoggXXnghNm3aVGyz1mLTpk1Yt27dMezZ/MX09DR27tyJZcuW4cILL0QYhrXx3759O3bv3l2M/7p16/CPf/yjtvA/9thjGBgYwAc+8IGj3v/5glWrVmF0dLQ29pOTk3jmmWdqYz8+Po7nnnuuaPP444/DWlssROvWrcOTTz6JLMuKNo899hjWrFnjzSv/Jf79739j//79WLZsGQA/D4cLRISbbroJDz74IB5//PFZpsHDtR6tW7eudo68jZcpjHebh7nw/PPPA0DtnThq8/AfuUKfILj//vspjmO699576eWXX6brrruOhoaGat7iHv89br75Ztq8eTPt2rWL/vrXv9L69etpeHiY9u3bR0QcPrpy5Up6/PHH6dlnn6V169bRunXriuPzsMXLLruMnn/+eXr00UdpyZIlPpz9PWBqaoq2bt1KW7duJQD0i1/8grZu3Uqvv/46EXE4+9DQED388MP04osv0hVXXDFnOPuHPvQheuaZZ+ipp56iM888sxZGPT4+TiMjI/TVr36Vtm3bRvfffz+1Wi0fRl3BO83D1NQUffe736UtW7bQrl276E9/+hNdcMEFdOaZZ1K32y3O4efhf8cNN9xAg4ODtHnz5lqYdLvdLtocjvUoD6O+5ZZb6JVXXqG7777bh7NX8G7zsGPHDvrpT39Kzz77LO3atYsefvhhWr16NV1yySXFOY7mPMxL4kNEdNddd9HKlSspiiK66KKL6Omnnz7WXZo3uPLKK2nZsmUURRGdcsopdOWVV9KOHTuK/Z1Oh775zW/SwoULqdVq0Re+8AXas2dP7Rz/+te/6PLLL6dms0nDw8N08803U5ZlR/tWTjg88cQTBGDWzzXXXENEHNL+wx/+kEZGRiiOY7r00ktp+/bttXPs37+frrrqKurv76eBgQH6+te/TlNTU7U2L7zwAn3iE5+gOI7plFNOoTvvvPNo3eIJgXeah3a7TZdddhktWbKEwjCk0047ja699tpZX7z8PPzvmGsOANA999xTtDlc69ETTzxBH/zgBymKIlq9enXtGic73m0edu/eTZdccgktWrSI4jimM844g2655ZZaHh+iozcPwnXaw8PDw8PDw2PeY975+Hh4eHh4eHh4HAqe+Hh4eHh4eHicNPDEx8PDw8PDw+OkgSc+Hh4eHh4eHicNPPHx8PDw8PDwOGngiY+Hh4eHh4fHSQNPfDw8PDw8PDxOGnji4+Hh4eHh4XHSwBMfDw8PDw8Pj5MGnvh4eHh4eHh4nDTwxMfDw8PDw8PjpIEnPh4eHh4eHh4nDf4/VwL5YJq/nhYAAAAASUVORK5CYII=",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.imshow(a / 255.0 * fade.reshape(2521, 1))\n",
+ "# BROADCAST: (2521, 1) => (1, 2521, 1) => (1688, 2521, 3)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "04d1bf6c-8ec7-4b91-b914-cfde6c1edd26",
+ "metadata": {},
+ "source": [
+ "### Dot Product\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 & 2 & 3\n",
+ "\\end{bmatrix}\n",
+ "\\cdot\n",
+ "\\begin{bmatrix}\n",
+ "4 \\\\ 5 \\\\ 6\n",
+ "\\end{bmatrix}$"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "id": "cd461b5a-f258-475d-96f9-71c55b4c8bea",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[1],\n",
+ " [2],\n",
+ " [3]])"
+ ]
+ },
+ "execution_count": 52,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "id": "4b0b33b8-0385-4a8a-80d5-9454d8bee2bc",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[4],\n",
+ " [5],\n",
+ " [6]])"
+ ]
+ },
+ "execution_count": 53,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "id": "836302df-cb01-4303-a679-b3aa9d83b9d7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[ 4],\n",
+ " [10],\n",
+ " [18]])"
+ ]
+ },
+ "execution_count": 54,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1 * v2 # 1*4, 2*5, 3*6"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "id": "79df259f-be7b-4598-a255-21aae102173f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[1, 2, 3]])"
+ ]
+ },
+ "execution_count": 55,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 56,
+ "id": "44f6f4aa-5716-4b58-b68f-60ef42929e47",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[4],\n",
+ " [5],\n",
+ " [6]])"
+ ]
+ },
+ "execution_count": 56,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v2"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "077a0242-652b-45d5-a8c3-a07b474d4e54",
+ "metadata": {},
+ "source": [
+ "#### `np.dot(a1, a2)` or `a1 @ a2`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "id": "8f8d212f-32d6-463d-b42e-3ccd27aead1f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[32]])"
+ ]
+ },
+ "execution_count": 57,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.dot(v1.T, v2) # 1*4 + 2*5 + 3*6"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "id": "51b042e6-4809-4b19-9a38-8bb2d7dec84b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[32]])"
+ ]
+ },
+ "execution_count": 58,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "v1.T @ v2"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ec0ac49a-9d63-4a40-92e9-dd875fb8692b",
+ "metadata": {},
+ "source": [
+ "#### `.item()` gives you just the values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 59,
+ "id": "774e9860-4103-4834-b697-cb6cbcd9629f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "32"
+ ]
+ },
+ "execution_count": 59,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "(v1.T @ v2).item() # pulls out the only number in the results"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 60,
+ "id": "555cff5a-1902-4be5-b6a0-38723a93a3ce",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "32"
+ ]
+ },
+ "execution_count": 60,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.dot(v1.T, v2).item()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "089c49c0-21bb-4507-b58b-be4f0f5abb8c",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/lecture_material/18-linalg-1/18-linalg1_001.ipynb b/lecture_material/18-linalg-1/18-linalg1_001.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..c2552587120239140b5b1d6123445df9f673d93a
--- /dev/null
+++ b/lecture_material/18-linalg-1/18-linalg1_001.ipynb
@@ -0,0 +1,1514 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "1986bd55",
+ "metadata": {},
+ "source": [
+ "# Linear Algebra 1\n",
+ "\n",
+ "- Installation requirements: `pip3 install rasterio Pillow`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e6f50cc3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "\n",
+ "# new import statements\n",
+ "from sklearn.linear_model import LinearRegression"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7736923a",
+ "metadata": {},
+ "source": [
+ "### Where do numpy arrays show up in ML?\n",
+ "\n",
+ "- A `DataFrame` is just a matrix wihout column names or row indices"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "327c8314",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df = pd.DataFrame([[0, 2, 1], [2, 3, 4], [8, 5, 6]], columns=[\"x1\", \"x2\", \"y\"])\n",
+ "df"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c6af6a3e",
+ "metadata": {},
+ "source": [
+ "`df.values` gives us a `numpy.ndarray` of all the values.\n",
+ "`nd` stands for n-dimensional:\n",
+ "- 2-dimensional for matrix\n",
+ "- 1-dimensional for vector"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4b416b92",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "print(type(df.values))\n",
+ "df.values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "156f0722",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model = LinearRegression()\n",
+ "model.fit(df[[\"x1\", \"x2\"]], df[\"y\"])\n",
+ "model.coef_"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "069a423e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model.predict(df[[\"x1\", \"x2\"]])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "30e8f41d",
+ "metadata": {},
+ "source": [
+ "#### How does `predict` actually work?\n",
+ "\n",
+ "- Matrix multiplication with coefficients (`@`) and add intercept"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5809ea1b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df[[\"x1\", \"x2\"]].values @ model.coef_ + model.intercept_"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "dcd299a3",
+ "metadata": {},
+ "source": [
+ "### How to create numpy arrays from scratch?\n",
+ "\n",
+ "- requires `import numpy as np`\n",
+ " - `np.array(<object>)`: creates numpy array from object instance; documentation: https://numpy.org/doc/stable/reference/generated/numpy.array.html\n",
+ " - `np.ones(<shape>)`: creates an array of ones; documentation: https://numpy.org/doc/stable/reference/generated/numpy.ones.html\n",
+ " - `np.zeros(<shape>)`: creates an array of zeros; documentation: https://numpy.org/doc/stable/reference/generated/numpy.zeros.html"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "cae8622e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Creating numpy array using np.array\n",
+ "[7, 8, 9]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a3a7c724",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Creating numpy array of 8 1's\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "64d5a747",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Creating numpy array of 8 0's\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "77dba590",
+ "metadata": {},
+ "source": [
+ "#### Review: `range()`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c9d01064",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 0 to exclusive end\n",
+ "# range(END)\n",
+ "list(range(10))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "625055f6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# inclusive start to exclusive end\n",
+ "# range(START, END)\n",
+ "list(range(-4, 10))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "138db7bd",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# inclusive start to exclusive end with a step between values\n",
+ "# default STEP is 1\n",
+ "# range(START, END, STEP)\n",
+ "list(range(-4, 10, 2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2ad2439f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# range cannot have floats for the STEP\n",
+ "list(range(-4, 10, 0.5))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "82d9884b",
+ "metadata": {},
+ "source": [
+ "#### Back to `numpy`\n",
+ "- `np.arange([start, ]stop, [step, ])`: gives us an array based on range; documentation: https://numpy.org/doc/stable/reference/generated/numpy.arange.html"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c7546ba3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# array range\n",
+ "np.arange(-4, 10, 0.5) "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3b2907d7",
+ "metadata": {},
+ "source": [
+ "#### Review: Slicing\n",
+ "\n",
+ "- `seq_object[<START>:<exclusive_END>:<STEP>]`\n",
+ " - `<START>` is optional; default is index 0\n",
+ " - `<END>` is optional; default is `len` of the sequence\n",
+ "- slicing creates a brand new object instance"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "dc6c1b73",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# REVIEW: Python slicing of lists\n",
+ "a = [7, 8, 9, 10]\n",
+ "# slice out 8 and 10\n",
+ "b = a[1::2] \n",
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0fc53657",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b[1] = 100\n",
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1fb36b9f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# original object instance doesn't change\n",
+ "a"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a79b7bb6",
+ "metadata": {},
+ "source": [
+ "Slicing is slow because of creating a new object instance."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ce7a536a",
+ "metadata": {},
+ "source": [
+ "#### How to slice `numpy` arrays? \n",
+ "- Unlike regular slicing `numpy` slicing is very efficient - doesn't do a copy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "290899b7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = np.array([7, 8, 9, 10])\n",
+ "# slice out 8 and 10\n",
+ "b = a[1::2] \n",
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "34d9d044",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b[1] = 100\n",
+ "a"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "27341ca0",
+ "metadata": {},
+ "source": [
+ "How can you ensure that changes to a slice don't affect original `numpy.array`? Use `copy` method."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "fe625eae",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = np.array([7, 8, 9, 10])\n",
+ "b = a.copy() # copy everything instead of sharing\n",
+ "b = a[1::2] \n",
+ "b[1] = 100\n",
+ "b, a"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b5b407e8",
+ "metadata": {},
+ "source": [
+ "#### Creating Multi-Dimensional Arrays\n",
+ "\n",
+ "- using nested data structures like list of lists\n",
+ "- `shape` gives us the dimension of the `numpy.array`\n",
+ "- `len()` gives the first dimension, that is `shape[0]`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c44b5951",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = np.array([1, 2, 3])\n",
+ "a, len(a)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "99456855",
+ "metadata": {},
+ "source": [
+ "How many numbers are there in the below `tuple`?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8b9fe7e2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# shape of numpy array\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "40b1d392",
+ "metadata": {},
+ "source": [
+ "One number in this `tuple`, and it is 3."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "96716ca6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 2-D array using list of lists\n",
+ "b = np.array([[1, 2, 3], [4, 5, 6]])\n",
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "3053945b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7e08dd1a",
+ "metadata": {},
+ "source": [
+ "2 dimensional (because two numbers are there in this `tuple`). sizes 2 and 3 along those dimensions."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2340a5e6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# gives shape[0]\n",
+ "len(b)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ed5979bc",
+ "metadata": {},
+ "source": [
+ "#### How to reshape a `numpy.array`?\n",
+ "\n",
+ "- `<obj>.reshape(<newshape>)`: reshapes the dimension of the array; documentation: https://numpy.org/doc/stable/reference/generated/numpy.reshape.html"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f3d08197",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b7d18682",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Use .reshape to change the dimensions to 3 x 2\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2189e09b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Use .reshape to change to 1-dimensional array\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5588c5f8",
+ "metadata": {},
+ "source": [
+ "We cannot add/remove values while reshaping."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "75106197",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.reshape(5)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "6bb8c765",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.reshape(7)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3d56dad4",
+ "metadata": {},
+ "source": [
+ "-1 means whatever size is the necessary shape for the remaining values. Enables us to just control one of the dimensions."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f3c16ff5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Use .reshape to change the dimensions to 3 x something valid\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "22cc87bc",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Use .reshape to change the dimensions to 1-dimensionl using -1\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1b02eb22",
+ "metadata": {},
+ "source": [
+ "Generate a 10*10 with numbers from 0 to 99."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "87ca1111",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Use arange and then reshape it to 10 x something valid\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "01e7bf19",
+ "metadata": {},
+ "source": [
+ "### Vocabulary\n",
+ "- scalar: 0 dimensional array\n",
+ "- vector: 1 dimensional array\n",
+ "- matrix: 2 dimensional array\n",
+ "- tensor: n dimensional (0, 1, 2, 3, ...) array "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "63ca66d0",
+ "metadata": {},
+ "source": [
+ "### Images as Tensors\n",
+ "\n",
+ "- `wget` command:\n",
+ " - `wget <url> -O <local file name>`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9469b3b8",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Only run this cell once\n",
+ "!wget \"https://upload.wikimedia.org/wikipedia/commons/f/f2/Coccinella_magnifica01.jpg\" -O bug.jpg"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b9d16352",
+ "metadata": {},
+ "source": [
+ "#### How to read an image file?\n",
+ "\n",
+ "- required `import matplotlib.pyplot as plt`\n",
+ " - `plt.imread(<fname>)`: reads an image file into a 3-dimensional array --- rows(pixels), columns(pixels), colors (red/green/blue)\n",
+ " - `plt.imshow(<array>, cmap=<color map>)`: displays the image"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "6269ce42",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = plt.imread(\"bug.jpg\")\n",
+ "type(a)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9f455a42",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 3-dimensional array\n",
+ "# rows(pixels), columns(pixels), colors (red/green/blue)\n",
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "44973823",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plt.imshow(a)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e973dd28",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a \n",
+ "# each inner array has 3-color representation R, G, B\n",
+ "# two color scales: floats (0.0 to 1.0) OR ints (0 to 255)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "59023dad",
+ "metadata": {},
+ "source": [
+ "#### GOAL: crop down just to the bug using slicing\n",
+ "\n",
+ "- `<array>[ROW SLICE, COLUMN SLICE, COLOR SLICE]`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4a1f059f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plt.imshow(a[???, ???, :])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c41c6a04",
+ "metadata": {},
+ "source": [
+ "#### GOAL: show clearly where RED is high on the image\n",
+ "- two formats:\n",
+ " - 3D (row, column, color)\n",
+ " - 2D (row, column) => black/white (red/blue)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9924cb83",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "21c34e89",
+ "metadata": {},
+ "source": [
+ "Pull out only layer 0, which is the red layer.\n",
+ "- 0 is red\n",
+ "- 1 is green\n",
+ "- 2 is blue\n",
+ "\n",
+ "Use index only for the color dimension and slices for row and column dimensions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "50b32a7a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a[:, :, 0].shape "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0d4c8b80",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# instead of using black and white, \n",
+ "# it is just assigning some color for light and dark\n",
+ "plt.imshow(a[:, :, 0])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "71efa2de",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# better to use grayscale\n",
+ "plt.imshow(a[:, :, 0], ???)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9bad669a",
+ "metadata": {},
+ "source": [
+ "Wherever there was red, the image is bright. The bug is very bright because of that. There are other places in the image that are bright but were not red. This is because when we mix RGB, we get white. Any color that was light will also have a lot of RED.\n",
+ "\n",
+ "This could be a pre-processing step for some ML algorithm that can identify RED bugs. "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e8a4f511",
+ "metadata": {},
+ "source": [
+ "#### GOAL: show a grayscale that considers the average of all colors\n",
+ "\n",
+ "- `<array>.mean(axis=<val>)`:\n",
+ " - `axis` should be 0 for 1st dimension, 1 for 2nd dimension, 2 for 3rd dimension"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0235c6b7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# average over all the numbers\n",
+ "# gives a measure of how bright the image is overall\n",
+ "a.mean()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "78e5988f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "de0a1eae",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# average over each column and color combination\n",
+ "a.mean(axis=0).shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c658655d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# average over each row and color combination\n",
+ "a.mean(axis=1).shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "85656235",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# average over each row and column combination\n",
+ "a.mean(axis=2).shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a57d5077",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plt.imshow(a.mean(axis=2), cmap=\"gray\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "66d7dcef",
+ "metadata": {},
+ "source": [
+ "This could also be a pre-processing step for some ML algorithm that expects black and white images."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "82d66d7a",
+ "metadata": {},
+ "source": [
+ "### Vector Multiplication: Overview\n",
+ "\n",
+ "#### Elementwise Multiplication\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "*\n",
+ "\\begin{bmatrix}\n",
+ "4 \\\\ 5 \\\\ 6\n",
+ "\\end{bmatrix}$\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "*\n",
+ "\\begin{bmatrix}\n",
+ "4 & 5 & 6\n",
+ "\\end{bmatrix}$\n",
+ "\n",
+ "### Dot Product\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 & 2 & 3\n",
+ "\\end{bmatrix}\n",
+ "\\cdot\n",
+ "\\begin{bmatrix}\n",
+ "4 \\\\ 5 \\\\ 6\n",
+ "\\end{bmatrix}$\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "\\cdot\n",
+ "\\begin{bmatrix}\n",
+ "4 & 5 & 6\n",
+ "\\end{bmatrix}$"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "61dca7b3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Use .reshape to change the dimensions to something valid x 1 \n",
+ "# vertical shape\n",
+ "v1 = np.array([1, 2, 3])\n",
+ "v1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f4a3167b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2 = np.array([4, 5, 6]).reshape(-1, 1)\n",
+ "v2"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "888d7d1b",
+ "metadata": {},
+ "source": [
+ "#### Elementwise Multiplication\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "*\n",
+ "\\begin{bmatrix}\n",
+ "4 \\\\ 5 \\\\ 6\n",
+ "\\end{bmatrix}$\n",
+ "\\=\n",
+ "$\\begin{bmatrix}\n",
+ "4 \\\\ 10 \\\\ 18\n",
+ "\\end{bmatrix}$"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9c7b9d31",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1 * v2 # [1*4, 2*5, 3*6]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2bd28f4f",
+ "metadata": {},
+ "source": [
+ "#### Transpose\n",
+ "\n",
+ "- flips the x and y"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c973a6d9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "db61f49e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2.T # horizontal"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a95fc59a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2.T.T # vertical"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1d11b30c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "278c5332",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2.T.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f9314ce6-aad0-4a5e-a03d-b5d4b8f9de3d",
+ "metadata": {},
+ "source": [
+ "#### Elementwise Multiplication\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "*\n",
+ "\\begin{bmatrix}\n",
+ "4 & 5 & 6\n",
+ "\\end{bmatrix}$\n",
+ "\\=\n",
+ "?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8c4bb10f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1 * v2.T # how is this working?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ce6ee037-9479-4313-8c85-df7e75d8918b",
+ "metadata": {},
+ "source": [
+ "### Broadcast\n",
+ "\n",
+ "Two use cases:\n",
+ "1. \"stretch\" 1 => N along any dimension to make shapes compatible\n",
+ "2. add dimensions of size 1 to the beginning of a shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "13b3d4cd-b1c2-41ba-aeb1-548a180b0a9b",
+ "metadata": {},
+ "source": [
+ "Element-wise operation between `v1 * v2.T` will automatically \"Broadcast\" v1 to 3 x 3 (stretching the second dimension) and \"Broadcast\" v2.T to 3 x 3 (stretching the first dimension)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4578b5d0-b511-4277-ac8b-edb738c22cd7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1344b009-c62f-462e-ba20-613275e3f31d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2.T.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "03cc16fe-ddd8-495c-8f88-af491bbd0f25",
+ "metadata": {},
+ "source": [
+ "How can we manually replicate that? \n",
+ "\n",
+ "#### `np.concatenate([a1, a2, ...], axis=0)`.\n",
+ "- `a1, a2, …`: sequence of arrays\n",
+ "- `axis`: the dimension along with we want to join the arrays\n",
+ " - default value is 0, which is for row dimension (down)\n",
+ " - value of 1 is for column dimension (across)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9cf0b4c5-9b2d-44df-ae1c-964fdf3f0991",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0f02a463-c802-4c71-bf04-22ed704e5078",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4df19236-3d86-46b5-9702-80963b4707eb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Broadcast v1 to 3 x 3 (stretching the second dimension)\n",
+ "v1_broadcast = \n",
+ "v1_broadcast"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2496189e-29a1-458c-ac97-3c68a18e4106",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "ed1d5db1-ee94-4d30-84e9-4b991f4c52d5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2.T.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9cf1fe4f-3846-4312-a14b-48acb83fdacb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Broadcast v2.T to 3 x 3 (stretching the second dimension)\n",
+ "v2t_broadcast = \n",
+ "v2t_broadcast"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a2917d2c-7e82-4134-b91d-b4dcb2c2f13a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1_broadcast * v2t_broadcast # same as v1 * v2.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "d076bc12-0023-4c1f-8487-75f804a61057",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1 * v2.T"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9ca5d5eb-d3dd-417b-b871-dc6efb3c2966",
+ "metadata": {},
+ "source": [
+ "#### Generate a multiplication table from 1 to 10"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "91570a33-f578-4547-b26d-e5cf3c2d87bc",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 1. generate a range of numbers from 1 to 10\n",
+ "# 2. reshape that to a vertical numpy array\n",
+ "digits = \n",
+ "digits"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5c46433c-a4b2-4946-857f-228eb9f9dc55",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "digits * digits.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "09452fd8-e225-4a01-a891-4cc03c559c64",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Convert the multiplication table into a DataFrame\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4b8bf928-d85c-4817-9819-f66e7c0105c9",
+ "metadata": {},
+ "source": [
+ "#### Back to bug example\n",
+ "\n",
+ "Let's do more complex broadcasting example"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "29e739e6-5fce-4367-ab0f-d0a809a3b9f9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Read \"bug.jpg\" into a numpy array\n",
+ "a = \n",
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "56fe8d69-8a33-4b0b-bffe-a8016c8e93b0",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Display \"bug.jpg\"\n",
+ "plt.imshow(a)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9fec8809-a32e-4466-b7df-b16e9489caaf",
+ "metadata": {},
+ "source": [
+ "#### GOAL: create a fade effect (full color on the left, to black on the right)\n",
+ "\n",
+ "- To achieve this, we need to:\n",
+ " 1. multiply the left most columns with numbers close to 1's (retains the original color)\n",
+ " 2. the rightmost columns with numbers close to 0's (0 will give us black color)\n",
+ " 3. the middle columns with numbers close to 0.5's"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "50e52114-3e64-4395-9c2c-65bb8ef46078",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "681c7d5d-3308-4299-9dbe-f993c9ffe859",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Create an array called fade with 2521 numbers\n",
+ "fade = \n",
+ "print(fade.shape)\n",
+ "fade\n",
+ "# How many dimensions does fade have? 1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f6fdb073-78fd-451a-985f-cac8835fd871",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "09d8bc07-79bc-48aa-98ac-6904acd2bc86",
+ "metadata": {},
+ "source": [
+ "How can we multiply `a` and `fade`? That is how do we `reshape` `fade`?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "950e479c-a1aa-4beb-b1e8-756cb32a65fb",
+ "metadata": {},
+ "source": [
+ "Can we reshape fade to 1688 x 2521 x 3?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8fe7a385-0f53-4183-aea8-cb8461ca3bbf",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1c75f601-1906-4768-b7f3-ea247299ba71",
+ "metadata": {},
+ "source": [
+ "The answer is no - because `reshape` can never add new values / delete values. Meaning after `reshape`, we need to exactly have 2521 values."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "eec5aabe-2749-468a-a76d-de4e8f5f8df4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Keep in mind that we need to multiple each column by a number, so which dimension should\n",
+ "# be 2521?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "ee3dc975-749d-4077-b47b-36e101ff1901",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Let's multiple a by reshaped fade\n",
+ "plt.imshow(???)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7abfc514-1130-4844-9df9-439d783d2f73",
+ "metadata": {},
+ "source": [
+ "Why doesn't this work? Remember pixels can be either represented using the values 0 to 255 or 0 to 1. `a` has the scale 0 to 255 and `fade.reshape(...)` has the scale 0 to 1."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "d0f07972-a874-4764-93f1-a56ebbf84136",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plt.imshow(a * fade.reshape(1, 2521, 1))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1a027c40-5602-4bea-85ec-84c74a0cab3a",
+ "metadata": {},
+ "source": [
+ "### Broadcast\n",
+ "\n",
+ "Two use cases:\n",
+ "1. \"stretch\" 1 => N along any dimension to make shapes compatible\n",
+ "2. add dimensions of size 1 to the beginning of a shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "25ca7735-b6c3-4524-8336-70173cfc5be1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0f6dd991-1644-4ad6-b702-4e8c0b74e0c0",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plt.imshow(a / 255.0 * fade.reshape(2521, 1))\n",
+ "# BROADCAST: (2521, 1) => (1, 2521, 1) => (1688, 2521, 3)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e96bd769-07ea-461e-8af1-91216adbd2ab",
+ "metadata": {},
+ "source": [
+ "### Dot Product\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 & 2 & 3\n",
+ "\\end{bmatrix}\n",
+ "\\cdot\n",
+ "\\begin{bmatrix}\n",
+ "4 \\\\ 5 \\\\ 6\n",
+ "\\end{bmatrix}$"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "888f3726-cc86-4fff-bd3c-22183a1d5178",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "bedf9d2e-6ec1-41a3-ab2e-23b56239a0cb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5c8bb73e-181a-452b-b19e-4b03f7bfc05a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1 * v2 # 1*4, 2*5, 3*6"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "625b136c-7b5e-46cf-89d9-450d3a55ae77",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4b580956-9b7f-4b40-b658-9ee2383d3284",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b1d9e5bb-308f-4540-a9bc-2964f0917823",
+ "metadata": {},
+ "source": [
+ "#### `np.dot(a1, a2)` or `a1 @ a2`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5114c384-2836-4ab0-85df-e2910ab53f3c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ " # 1*4 + 2*5 + 3*6"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "df408d79-0192-46d3-9448-9286cec11288",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1235fb92-417c-4d37-aba0-d470bddb9627",
+ "metadata": {},
+ "source": [
+ "#### `.item()` gives you just the values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1bd3ce8b-25fb-414f-9c8a-3de0296c058d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "(v1.T @ v2)??? # pulls out the only number in the results"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "cbf53598-a5c0-425f-912b-5bf84b18a4d6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "np.dot(v1.T, v2)???"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/lecture_material/18-linalg-1/18-linalg1_002.ipynb b/lecture_material/18-linalg-1/18-linalg1_002.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..c2552587120239140b5b1d6123445df9f673d93a
--- /dev/null
+++ b/lecture_material/18-linalg-1/18-linalg1_002.ipynb
@@ -0,0 +1,1514 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "1986bd55",
+ "metadata": {},
+ "source": [
+ "# Linear Algebra 1\n",
+ "\n",
+ "- Installation requirements: `pip3 install rasterio Pillow`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e6f50cc3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "\n",
+ "# new import statements\n",
+ "from sklearn.linear_model import LinearRegression"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7736923a",
+ "metadata": {},
+ "source": [
+ "### Where do numpy arrays show up in ML?\n",
+ "\n",
+ "- A `DataFrame` is just a matrix wihout column names or row indices"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "327c8314",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df = pd.DataFrame([[0, 2, 1], [2, 3, 4], [8, 5, 6]], columns=[\"x1\", \"x2\", \"y\"])\n",
+ "df"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c6af6a3e",
+ "metadata": {},
+ "source": [
+ "`df.values` gives us a `numpy.ndarray` of all the values.\n",
+ "`nd` stands for n-dimensional:\n",
+ "- 2-dimensional for matrix\n",
+ "- 1-dimensional for vector"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4b416b92",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "print(type(df.values))\n",
+ "df.values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "156f0722",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model = LinearRegression()\n",
+ "model.fit(df[[\"x1\", \"x2\"]], df[\"y\"])\n",
+ "model.coef_"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "069a423e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model.predict(df[[\"x1\", \"x2\"]])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "30e8f41d",
+ "metadata": {},
+ "source": [
+ "#### How does `predict` actually work?\n",
+ "\n",
+ "- Matrix multiplication with coefficients (`@`) and add intercept"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5809ea1b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df[[\"x1\", \"x2\"]].values @ model.coef_ + model.intercept_"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "dcd299a3",
+ "metadata": {},
+ "source": [
+ "### How to create numpy arrays from scratch?\n",
+ "\n",
+ "- requires `import numpy as np`\n",
+ " - `np.array(<object>)`: creates numpy array from object instance; documentation: https://numpy.org/doc/stable/reference/generated/numpy.array.html\n",
+ " - `np.ones(<shape>)`: creates an array of ones; documentation: https://numpy.org/doc/stable/reference/generated/numpy.ones.html\n",
+ " - `np.zeros(<shape>)`: creates an array of zeros; documentation: https://numpy.org/doc/stable/reference/generated/numpy.zeros.html"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "cae8622e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Creating numpy array using np.array\n",
+ "[7, 8, 9]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a3a7c724",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Creating numpy array of 8 1's\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "64d5a747",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Creating numpy array of 8 0's\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "77dba590",
+ "metadata": {},
+ "source": [
+ "#### Review: `range()`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c9d01064",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 0 to exclusive end\n",
+ "# range(END)\n",
+ "list(range(10))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "625055f6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# inclusive start to exclusive end\n",
+ "# range(START, END)\n",
+ "list(range(-4, 10))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "138db7bd",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# inclusive start to exclusive end with a step between values\n",
+ "# default STEP is 1\n",
+ "# range(START, END, STEP)\n",
+ "list(range(-4, 10, 2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2ad2439f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# range cannot have floats for the STEP\n",
+ "list(range(-4, 10, 0.5))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "82d9884b",
+ "metadata": {},
+ "source": [
+ "#### Back to `numpy`\n",
+ "- `np.arange([start, ]stop, [step, ])`: gives us an array based on range; documentation: https://numpy.org/doc/stable/reference/generated/numpy.arange.html"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c7546ba3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# array range\n",
+ "np.arange(-4, 10, 0.5) "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3b2907d7",
+ "metadata": {},
+ "source": [
+ "#### Review: Slicing\n",
+ "\n",
+ "- `seq_object[<START>:<exclusive_END>:<STEP>]`\n",
+ " - `<START>` is optional; default is index 0\n",
+ " - `<END>` is optional; default is `len` of the sequence\n",
+ "- slicing creates a brand new object instance"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "dc6c1b73",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# REVIEW: Python slicing of lists\n",
+ "a = [7, 8, 9, 10]\n",
+ "# slice out 8 and 10\n",
+ "b = a[1::2] \n",
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0fc53657",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b[1] = 100\n",
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1fb36b9f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# original object instance doesn't change\n",
+ "a"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a79b7bb6",
+ "metadata": {},
+ "source": [
+ "Slicing is slow because of creating a new object instance."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ce7a536a",
+ "metadata": {},
+ "source": [
+ "#### How to slice `numpy` arrays? \n",
+ "- Unlike regular slicing `numpy` slicing is very efficient - doesn't do a copy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "290899b7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = np.array([7, 8, 9, 10])\n",
+ "# slice out 8 and 10\n",
+ "b = a[1::2] \n",
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "34d9d044",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b[1] = 100\n",
+ "a"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "27341ca0",
+ "metadata": {},
+ "source": [
+ "How can you ensure that changes to a slice don't affect original `numpy.array`? Use `copy` method."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "fe625eae",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = np.array([7, 8, 9, 10])\n",
+ "b = a.copy() # copy everything instead of sharing\n",
+ "b = a[1::2] \n",
+ "b[1] = 100\n",
+ "b, a"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b5b407e8",
+ "metadata": {},
+ "source": [
+ "#### Creating Multi-Dimensional Arrays\n",
+ "\n",
+ "- using nested data structures like list of lists\n",
+ "- `shape` gives us the dimension of the `numpy.array`\n",
+ "- `len()` gives the first dimension, that is `shape[0]`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c44b5951",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = np.array([1, 2, 3])\n",
+ "a, len(a)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "99456855",
+ "metadata": {},
+ "source": [
+ "How many numbers are there in the below `tuple`?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8b9fe7e2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# shape of numpy array\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "40b1d392",
+ "metadata": {},
+ "source": [
+ "One number in this `tuple`, and it is 3."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "96716ca6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 2-D array using list of lists\n",
+ "b = np.array([[1, 2, 3], [4, 5, 6]])\n",
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "3053945b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7e08dd1a",
+ "metadata": {},
+ "source": [
+ "2 dimensional (because two numbers are there in this `tuple`). sizes 2 and 3 along those dimensions."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2340a5e6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# gives shape[0]\n",
+ "len(b)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ed5979bc",
+ "metadata": {},
+ "source": [
+ "#### How to reshape a `numpy.array`?\n",
+ "\n",
+ "- `<obj>.reshape(<newshape>)`: reshapes the dimension of the array; documentation: https://numpy.org/doc/stable/reference/generated/numpy.reshape.html"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f3d08197",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b7d18682",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Use .reshape to change the dimensions to 3 x 2\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2189e09b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Use .reshape to change to 1-dimensional array\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5588c5f8",
+ "metadata": {},
+ "source": [
+ "We cannot add/remove values while reshaping."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "75106197",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.reshape(5)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "6bb8c765",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "b.reshape(7)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3d56dad4",
+ "metadata": {},
+ "source": [
+ "-1 means whatever size is the necessary shape for the remaining values. Enables us to just control one of the dimensions."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f3c16ff5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Use .reshape to change the dimensions to 3 x something valid\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "22cc87bc",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Use .reshape to change the dimensions to 1-dimensionl using -1\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1b02eb22",
+ "metadata": {},
+ "source": [
+ "Generate a 10*10 with numbers from 0 to 99."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "87ca1111",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Use arange and then reshape it to 10 x something valid\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "01e7bf19",
+ "metadata": {},
+ "source": [
+ "### Vocabulary\n",
+ "- scalar: 0 dimensional array\n",
+ "- vector: 1 dimensional array\n",
+ "- matrix: 2 dimensional array\n",
+ "- tensor: n dimensional (0, 1, 2, 3, ...) array "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "63ca66d0",
+ "metadata": {},
+ "source": [
+ "### Images as Tensors\n",
+ "\n",
+ "- `wget` command:\n",
+ " - `wget <url> -O <local file name>`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9469b3b8",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Only run this cell once\n",
+ "!wget \"https://upload.wikimedia.org/wikipedia/commons/f/f2/Coccinella_magnifica01.jpg\" -O bug.jpg"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b9d16352",
+ "metadata": {},
+ "source": [
+ "#### How to read an image file?\n",
+ "\n",
+ "- required `import matplotlib.pyplot as plt`\n",
+ " - `plt.imread(<fname>)`: reads an image file into a 3-dimensional array --- rows(pixels), columns(pixels), colors (red/green/blue)\n",
+ " - `plt.imshow(<array>, cmap=<color map>)`: displays the image"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "6269ce42",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = plt.imread(\"bug.jpg\")\n",
+ "type(a)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9f455a42",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 3-dimensional array\n",
+ "# rows(pixels), columns(pixels), colors (red/green/blue)\n",
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "44973823",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plt.imshow(a)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e973dd28",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a \n",
+ "# each inner array has 3-color representation R, G, B\n",
+ "# two color scales: floats (0.0 to 1.0) OR ints (0 to 255)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "59023dad",
+ "metadata": {},
+ "source": [
+ "#### GOAL: crop down just to the bug using slicing\n",
+ "\n",
+ "- `<array>[ROW SLICE, COLUMN SLICE, COLOR SLICE]`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4a1f059f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plt.imshow(a[???, ???, :])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c41c6a04",
+ "metadata": {},
+ "source": [
+ "#### GOAL: show clearly where RED is high on the image\n",
+ "- two formats:\n",
+ " - 3D (row, column, color)\n",
+ " - 2D (row, column) => black/white (red/blue)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9924cb83",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "21c34e89",
+ "metadata": {},
+ "source": [
+ "Pull out only layer 0, which is the red layer.\n",
+ "- 0 is red\n",
+ "- 1 is green\n",
+ "- 2 is blue\n",
+ "\n",
+ "Use index only for the color dimension and slices for row and column dimensions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "50b32a7a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a[:, :, 0].shape "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0d4c8b80",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# instead of using black and white, \n",
+ "# it is just assigning some color for light and dark\n",
+ "plt.imshow(a[:, :, 0])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "71efa2de",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# better to use grayscale\n",
+ "plt.imshow(a[:, :, 0], ???)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9bad669a",
+ "metadata": {},
+ "source": [
+ "Wherever there was red, the image is bright. The bug is very bright because of that. There are other places in the image that are bright but were not red. This is because when we mix RGB, we get white. Any color that was light will also have a lot of RED.\n",
+ "\n",
+ "This could be a pre-processing step for some ML algorithm that can identify RED bugs. "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e8a4f511",
+ "metadata": {},
+ "source": [
+ "#### GOAL: show a grayscale that considers the average of all colors\n",
+ "\n",
+ "- `<array>.mean(axis=<val>)`:\n",
+ " - `axis` should be 0 for 1st dimension, 1 for 2nd dimension, 2 for 3rd dimension"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0235c6b7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# average over all the numbers\n",
+ "# gives a measure of how bright the image is overall\n",
+ "a.mean()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "78e5988f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "de0a1eae",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# average over each column and color combination\n",
+ "a.mean(axis=0).shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c658655d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# average over each row and color combination\n",
+ "a.mean(axis=1).shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "85656235",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# average over each row and column combination\n",
+ "a.mean(axis=2).shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a57d5077",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plt.imshow(a.mean(axis=2), cmap=\"gray\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "66d7dcef",
+ "metadata": {},
+ "source": [
+ "This could also be a pre-processing step for some ML algorithm that expects black and white images."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "82d66d7a",
+ "metadata": {},
+ "source": [
+ "### Vector Multiplication: Overview\n",
+ "\n",
+ "#### Elementwise Multiplication\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "*\n",
+ "\\begin{bmatrix}\n",
+ "4 \\\\ 5 \\\\ 6\n",
+ "\\end{bmatrix}$\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "*\n",
+ "\\begin{bmatrix}\n",
+ "4 & 5 & 6\n",
+ "\\end{bmatrix}$\n",
+ "\n",
+ "### Dot Product\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 & 2 & 3\n",
+ "\\end{bmatrix}\n",
+ "\\cdot\n",
+ "\\begin{bmatrix}\n",
+ "4 \\\\ 5 \\\\ 6\n",
+ "\\end{bmatrix}$\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "\\cdot\n",
+ "\\begin{bmatrix}\n",
+ "4 & 5 & 6\n",
+ "\\end{bmatrix}$"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "61dca7b3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Use .reshape to change the dimensions to something valid x 1 \n",
+ "# vertical shape\n",
+ "v1 = np.array([1, 2, 3])\n",
+ "v1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f4a3167b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2 = np.array([4, 5, 6]).reshape(-1, 1)\n",
+ "v2"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "888d7d1b",
+ "metadata": {},
+ "source": [
+ "#### Elementwise Multiplication\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "*\n",
+ "\\begin{bmatrix}\n",
+ "4 \\\\ 5 \\\\ 6\n",
+ "\\end{bmatrix}$\n",
+ "\\=\n",
+ "$\\begin{bmatrix}\n",
+ "4 \\\\ 10 \\\\ 18\n",
+ "\\end{bmatrix}$"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9c7b9d31",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1 * v2 # [1*4, 2*5, 3*6]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2bd28f4f",
+ "metadata": {},
+ "source": [
+ "#### Transpose\n",
+ "\n",
+ "- flips the x and y"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c973a6d9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "db61f49e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2.T # horizontal"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a95fc59a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2.T.T # vertical"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1d11b30c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "278c5332",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2.T.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f9314ce6-aad0-4a5e-a03d-b5d4b8f9de3d",
+ "metadata": {},
+ "source": [
+ "#### Elementwise Multiplication\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 \\\\ 2 \\\\ 3\n",
+ "\\end{bmatrix}\n",
+ "*\n",
+ "\\begin{bmatrix}\n",
+ "4 & 5 & 6\n",
+ "\\end{bmatrix}$\n",
+ "\\=\n",
+ "?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8c4bb10f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1 * v2.T # how is this working?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ce6ee037-9479-4313-8c85-df7e75d8918b",
+ "metadata": {},
+ "source": [
+ "### Broadcast\n",
+ "\n",
+ "Two use cases:\n",
+ "1. \"stretch\" 1 => N along any dimension to make shapes compatible\n",
+ "2. add dimensions of size 1 to the beginning of a shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "13b3d4cd-b1c2-41ba-aeb1-548a180b0a9b",
+ "metadata": {},
+ "source": [
+ "Element-wise operation between `v1 * v2.T` will automatically \"Broadcast\" v1 to 3 x 3 (stretching the second dimension) and \"Broadcast\" v2.T to 3 x 3 (stretching the first dimension)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4578b5d0-b511-4277-ac8b-edb738c22cd7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1344b009-c62f-462e-ba20-613275e3f31d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2.T.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "03cc16fe-ddd8-495c-8f88-af491bbd0f25",
+ "metadata": {},
+ "source": [
+ "How can we manually replicate that? \n",
+ "\n",
+ "#### `np.concatenate([a1, a2, ...], axis=0)`.\n",
+ "- `a1, a2, …`: sequence of arrays\n",
+ "- `axis`: the dimension along with we want to join the arrays\n",
+ " - default value is 0, which is for row dimension (down)\n",
+ " - value of 1 is for column dimension (across)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9cf0b4c5-9b2d-44df-ae1c-964fdf3f0991",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0f02a463-c802-4c71-bf04-22ed704e5078",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4df19236-3d86-46b5-9702-80963b4707eb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Broadcast v1 to 3 x 3 (stretching the second dimension)\n",
+ "v1_broadcast = \n",
+ "v1_broadcast"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2496189e-29a1-458c-ac97-3c68a18e4106",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "ed1d5db1-ee94-4d30-84e9-4b991f4c52d5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2.T.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9cf1fe4f-3846-4312-a14b-48acb83fdacb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Broadcast v2.T to 3 x 3 (stretching the second dimension)\n",
+ "v2t_broadcast = \n",
+ "v2t_broadcast"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a2917d2c-7e82-4134-b91d-b4dcb2c2f13a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1_broadcast * v2t_broadcast # same as v1 * v2.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "d076bc12-0023-4c1f-8487-75f804a61057",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1 * v2.T"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9ca5d5eb-d3dd-417b-b871-dc6efb3c2966",
+ "metadata": {},
+ "source": [
+ "#### Generate a multiplication table from 1 to 10"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "91570a33-f578-4547-b26d-e5cf3c2d87bc",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 1. generate a range of numbers from 1 to 10\n",
+ "# 2. reshape that to a vertical numpy array\n",
+ "digits = \n",
+ "digits"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5c46433c-a4b2-4946-857f-228eb9f9dc55",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "digits * digits.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "09452fd8-e225-4a01-a891-4cc03c559c64",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Convert the multiplication table into a DataFrame\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4b8bf928-d85c-4817-9819-f66e7c0105c9",
+ "metadata": {},
+ "source": [
+ "#### Back to bug example\n",
+ "\n",
+ "Let's do more complex broadcasting example"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "29e739e6-5fce-4367-ab0f-d0a809a3b9f9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Read \"bug.jpg\" into a numpy array\n",
+ "a = \n",
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "56fe8d69-8a33-4b0b-bffe-a8016c8e93b0",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Display \"bug.jpg\"\n",
+ "plt.imshow(a)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9fec8809-a32e-4466-b7df-b16e9489caaf",
+ "metadata": {},
+ "source": [
+ "#### GOAL: create a fade effect (full color on the left, to black on the right)\n",
+ "\n",
+ "- To achieve this, we need to:\n",
+ " 1. multiply the left most columns with numbers close to 1's (retains the original color)\n",
+ " 2. the rightmost columns with numbers close to 0's (0 will give us black color)\n",
+ " 3. the middle columns with numbers close to 0.5's"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "50e52114-3e64-4395-9c2c-65bb8ef46078",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "681c7d5d-3308-4299-9dbe-f993c9ffe859",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Create an array called fade with 2521 numbers\n",
+ "fade = \n",
+ "print(fade.shape)\n",
+ "fade\n",
+ "# How many dimensions does fade have? 1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f6fdb073-78fd-451a-985f-cac8835fd871",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "09d8bc07-79bc-48aa-98ac-6904acd2bc86",
+ "metadata": {},
+ "source": [
+ "How can we multiply `a` and `fade`? That is how do we `reshape` `fade`?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "950e479c-a1aa-4beb-b1e8-756cb32a65fb",
+ "metadata": {},
+ "source": [
+ "Can we reshape fade to 1688 x 2521 x 3?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8fe7a385-0f53-4183-aea8-cb8461ca3bbf",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1c75f601-1906-4768-b7f3-ea247299ba71",
+ "metadata": {},
+ "source": [
+ "The answer is no - because `reshape` can never add new values / delete values. Meaning after `reshape`, we need to exactly have 2521 values."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "eec5aabe-2749-468a-a76d-de4e8f5f8df4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Keep in mind that we need to multiple each column by a number, so which dimension should\n",
+ "# be 2521?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "ee3dc975-749d-4077-b47b-36e101ff1901",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Let's multiple a by reshaped fade\n",
+ "plt.imshow(???)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7abfc514-1130-4844-9df9-439d783d2f73",
+ "metadata": {},
+ "source": [
+ "Why doesn't this work? Remember pixels can be either represented using the values 0 to 255 or 0 to 1. `a` has the scale 0 to 255 and `fade.reshape(...)` has the scale 0 to 1."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "d0f07972-a874-4764-93f1-a56ebbf84136",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plt.imshow(a * fade.reshape(1, 2521, 1))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1a027c40-5602-4bea-85ec-84c74a0cab3a",
+ "metadata": {},
+ "source": [
+ "### Broadcast\n",
+ "\n",
+ "Two use cases:\n",
+ "1. \"stretch\" 1 => N along any dimension to make shapes compatible\n",
+ "2. add dimensions of size 1 to the beginning of a shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "25ca7735-b6c3-4524-8336-70173cfc5be1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0f6dd991-1644-4ad6-b702-4e8c0b74e0c0",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "plt.imshow(a / 255.0 * fade.reshape(2521, 1))\n",
+ "# BROADCAST: (2521, 1) => (1, 2521, 1) => (1688, 2521, 3)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e96bd769-07ea-461e-8af1-91216adbd2ab",
+ "metadata": {},
+ "source": [
+ "### Dot Product\n",
+ "\n",
+ "$\\begin{bmatrix}\n",
+ "1 & 2 & 3\n",
+ "\\end{bmatrix}\n",
+ "\\cdot\n",
+ "\\begin{bmatrix}\n",
+ "4 \\\\ 5 \\\\ 6\n",
+ "\\end{bmatrix}$"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "888f3726-cc86-4fff-bd3c-22183a1d5178",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "bedf9d2e-6ec1-41a3-ab2e-23b56239a0cb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5c8bb73e-181a-452b-b19e-4b03f7bfc05a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1 * v2 # 1*4, 2*5, 3*6"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "625b136c-7b5e-46cf-89d9-450d3a55ae77",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v1.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4b580956-9b7f-4b40-b658-9ee2383d3284",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "v2"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b1d9e5bb-308f-4540-a9bc-2964f0917823",
+ "metadata": {},
+ "source": [
+ "#### `np.dot(a1, a2)` or `a1 @ a2`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5114c384-2836-4ab0-85df-e2910ab53f3c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ " # 1*4 + 2*5 + 3*6"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "df408d79-0192-46d3-9448-9286cec11288",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1235fb92-417c-4d37-aba0-d470bddb9627",
+ "metadata": {},
+ "source": [
+ "#### `.item()` gives you just the values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1bd3ce8b-25fb-414f-9c8a-3de0296c058d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "(v1.T @ v2)??? # pulls out the only number in the results"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "cbf53598-a5c0-425f-912b-5bf84b18a4d6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "np.dot(v1.T, v2)???"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
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