From 42f8321c8caaf42dcb99bb6ff2c9211f02f65927 Mon Sep 17 00:00:00 2001
From: Frh <francois.huet+github@gmail.com>
Date: Fri, 3 Jul 2020 18:28:24 -0700
Subject: [PATCH] Clean up notebooks, address review comments

* Improve explanations of network, hybrid, and lattice parsers
* Remove dead code from parser comparison notebook
* Clean-up notebook variables to reduce size and make diffs cleaner
* Revert changes that were peripheral to the core changes
---
 .deepsource.toml                 |   5 -
 .gitignore                       |   6 +-
 .travis.yml                      |   1 +
 camelot/image_processing.py      |  50 +---
 notebook-hybrid-parser.ipynb     | 446 ++++++++++++++++++-------------
 parser-comparison-notebook.ipynb | 145 +++-------
 6 files changed, 322 insertions(+), 331 deletions(-)

diff --git a/.deepsource.toml b/.deepsource.toml
index c98c682..e8edbba 100644
--- a/.deepsource.toml
+++ b/.deepsource.toml
@@ -1,10 +1,5 @@
 version = 1
 
-test_patterns = [
-  "tests/**",
-  "test_*.py"
-]
-
 exclude_patterns = [
   "camelot/ext/**"
 ]
diff --git a/.gitignore b/.gitignore
index da5b19a..80fea8a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,10 +4,8 @@ __pycache__/
 
 build/
 dist/
-prof/
 *.egg-info/
 .eggs/
-.tox/
 .coverage
 coverage.xml
 
@@ -18,6 +16,4 @@ _build/
 htmlcov/
 
 # vscode
-.vscode
-
-.DS_Store
\ No newline at end of file
+.vscode
\ No newline at end of file
diff --git a/.travis.yml b/.travis.yml
index d791413..e370649 100755
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,3 +1,4 @@
+sudo: true
 language: python
 cache: pip
 addons:
diff --git a/camelot/image_processing.py b/camelot/image_processing.py
index 43e7c65..eedbbef 100644
--- a/camelot/image_processing.py
+++ b/camelot/image_processing.py
@@ -4,11 +4,8 @@ import cv2
 import numpy as np
 
 
-def adaptive_threshold(
-        imagename, process_background=False,
-        blocksize=15, c=-2):
+def adaptive_threshold(imagename, process_background=False, blocksize=15, c=-2):
     """Thresholds an image using OpenCV's adaptiveThreshold.
-
     Parameters
     ----------
     imagename : string
@@ -18,31 +15,24 @@ def adaptive_threshold(
     blocksize : int, optional (default: 15)
         Size of a pixel neighborhood that is used to calculate a
         threshold value for the pixel: 3, 5, 7, and so on.
-
-        For more information, refer `OpenCV's adaptiveThreshold <https://docs.opencv.org/2.4/modules/imgproc/doc/miscellaneous_transformations.html#adaptivethreshold>`_.  # noqa
+        For more information, refer `OpenCV's adaptiveThreshold <https://docs.opencv.org/2.4/modules/imgproc/doc/miscellaneous_transformations.html#adaptivethreshold>`_.
     c : int, optional (default: -2)
         Constant subtracted from the mean or weighted mean.
         Normally, it is positive but may be zero or negative as well.
-
-        For more information, refer `OpenCV's adaptiveThreshold <https://docs.opencv.org/2.4/modules/imgproc/doc/miscellaneous_transformations.html#adaptivethreshold>`_.  # noqa
-
+        For more information, refer `OpenCV's adaptiveThreshold <https://docs.opencv.org/2.4/modules/imgproc/doc/miscellaneous_transformations.html#adaptivethreshold>`_.
     Returns
     -------
     img : object
         numpy.ndarray representing the original image.
     threshold : object
         numpy.ndarray representing the thresholded image.
-
     """
     img = cv2.imread(imagename)
     gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 
     if process_background:
         threshold = cv2.adaptiveThreshold(
-            gray,
-            255,
-            cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
-            cv2.THRESH_BINARY, blocksize, c
+            gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, blocksize, c
         )
     else:
         threshold = cv2.adaptiveThreshold(
@@ -57,12 +47,10 @@ def adaptive_threshold(
 
 
 def find_lines(
-    threshold, regions=None,
-    direction="horizontal", line_scale=15, iterations=0
+    threshold, regions=None, direction="horizontal", line_scale=15, iterations=0
 ):
     """Finds horizontal and vertical lines by applying morphological
     transformations on an image.
-
     Parameters
     ----------
     threshold : object
@@ -76,14 +64,11 @@ def find_lines(
     line_scale : int, optional (default: 15)
         Factor by which the page dimensions will be divided to get
         smallest length of lines that should be detected.
-
         The larger this value, smaller the detected lines. Making it
         too large will lead to text being detected as lines.
     iterations : int, optional (default: 0)
         Number of times for erosion/dilation is applied.
-
-        For more information, refer `OpenCV's dilate <https://docs.opencv.org/2.4/modules/imgproc/doc/filtering.html#dilate>`_.  # noqa
-
+        For more information, refer `OpenCV's dilate <https://docs.opencv.org/2.4/modules/imgproc/doc/filtering.html#dilate>`_.
     Returns
     -------
     dmask : object
@@ -93,7 +78,6 @@ def find_lines(
         List of tuples representing vertical/horizontal lines with
         coordinates relative to a left-top origin in
         image coordinate space.
-
     """
     lines = []
 
@@ -104,15 +88,13 @@ def find_lines(
         size = threshold.shape[1] // line_scale
         el = cv2.getStructuringElement(cv2.MORPH_RECT, (size, 1))
     elif direction is None:
-        raise ValueError(
-            "Specify direction as either 'vertical' or 'horizontal'"
-        )
+        raise ValueError("Specify direction as either 'vertical' or 'horizontal'")
 
     if regions is not None:
         region_mask = np.zeros(threshold.shape)
         for region in regions:
             x, y, w, h = region
-            region_mask[y:y + h, x:x + w] = 1
+            region_mask[y : y + h, x : x + w] = 1
         threshold = np.multiply(threshold, region_mask)
 
     threshold = cv2.erode(threshold, el)
@@ -121,14 +103,12 @@ def find_lines(
 
     try:
         _, contours, _ = cv2.findContours(
-            threshold.astype(np.uint8), cv2.RETR_EXTERNAL,
-            cv2.CHAIN_APPROX_SIMPLE
+            threshold.astype(np.uint8), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
         )
     except ValueError:
         # for opencv backward compatibility
         contours, _ = cv2.findContours(
-            threshold.astype(np.uint8), cv2.RETR_EXTERNAL,
-            cv2.CHAIN_APPROX_SIMPLE
+            threshold.astype(np.uint8), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
         )
 
     for c in contours:
@@ -145,21 +125,18 @@ def find_lines(
 
 def find_contours(vertical, horizontal):
     """Finds table boundaries using OpenCV's findContours.
-
     Parameters
     ----------
     vertical : object
         numpy.ndarray representing pixels where vertical lines lie.
     horizontal : object
         numpy.ndarray representing pixels where horizontal lines lie.
-
     Returns
     -------
     cont : list
         List of tuples representing table boundaries. Each tuple is of
         the form (x, y, w, h) where (x, y) -> left-top, w -> width and
         h -> height in image coordinate space.
-
     """
     mask = vertical + horizontal
 
@@ -185,7 +162,6 @@ def find_contours(vertical, horizontal):
 
 def find_joints(contours, vertical, horizontal):
     """Finds joints/intersections present inside each table boundary.
-
     Parameters
     ----------
     contours : list
@@ -196,7 +172,6 @@ def find_joints(contours, vertical, horizontal):
         numpy.ndarray representing pixels where vertical lines lie.
     horizontal : object
         numpy.ndarray representing pixels where horizontal lines lie.
-
     Returns
     -------
     tables : dict
@@ -204,13 +179,12 @@ def find_joints(contours, vertical, horizontal):
         in that boundary as their value.
         Keys are of the form (x1, y1, x2, y2) where (x1, y1) -> lb
         and (x2, y2) -> rt in image coordinate space.
-
     """
     joints = np.multiply(vertical, horizontal)
     tables = {}
     for c in contours:
         x, y, w, h = c
-        roi = joints[y:y + h, x:x + w]
+        roi = joints[y : y + h, x : x + w]
         try:
             __, jc, __ = cv2.findContours(
                 roi.astype(np.uint8), cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE
@@ -229,4 +203,4 @@ def find_joints(contours, vertical, horizontal):
             joint_coords.append((c1, c2))
         tables[(x, y + h, x + w, y)] = joint_coords
 
-    return tables
+    return tables
\ No newline at end of file
diff --git a/notebook-hybrid-parser.ipynb b/notebook-hybrid-parser.ipynb
index dd87460..d741ab5 100644
--- a/notebook-hybrid-parser.ipynb
+++ b/notebook-hybrid-parser.ipynb
@@ -4,64 +4,31 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Common import and setup\n"
+    "# Hybrid Parser step-by-step\n",
+    "\n",
+    "This notebook describes the algorithms behind the hybrid parser, which blends the results of the network parser (text based) and the lattice parser (image based).\n",
+    "\n",
+    "You can modify the section below to point to a pdf or your choice to visualize how the algorithm analyzes it.  By default, it points to one of the test .pdfs included with camelot.\n",
+    "\n",
+    "You can also use the `parser-comparison-notebook` notebook to compare the parsers results side-by-side."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": "'/Users/francoishuet/Code/camelot/camelot/__init__.py'"
-     },
-     "metadata": {},
-     "execution_count": 1
-    }
-   ],
-   "source": [
-    "import os, sys, time, pytest\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "from matplotlib import patches, lines\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "from pandas.testing import assert_frame_equal\n",
-    "\n",
-    "import pdfminer\n",
-    "\n",
-    "from IPython.display import display\n",
-    "\n",
-    "# Make sure we use the local version of camelot if it is here\n",
-    "sys.path.insert(0, os.path.abspath(''))\n",
-    "\n",
-    "import camelot\n",
-    "from camelot.core import Table, TableList, TextEdges\n",
-    "from camelot.__version__ import generate_version\n",
-    "from camelot.utils import get_text_objects, text_in_bbox\n",
-    "from camelot.parsers.stream import Stream\n",
-    "from camelot.parsers.network import Network\n",
-    "from camelot.handlers import PDFHandler\n",
-    "from camelot.plotting import draw_pdf\n",
-    "from tests.data import *\n",
-    "\n",
-    "testdir = os.path.dirname(os.path.abspath('.'))\n",
-    "testdir = os.path.join(testdir, \"camelot/tests/files\")\n",
-    "\n",
-    "# Set up plots to be large enough for visualization\n",
-    "\n",
-    "# To check which library we're using\n",
-    "camelot.__file__\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
+    "# Bootstrap and common imports\n",
+    "import os, sys, time\n",
+    "sys.path.insert(0, os.path.abspath('')) # Prefer the local version of camelot if available\n",
+    "import camelot\n",
+    "\n",
+    "print(f\"Using Camelot v{camelot.__version__} from file {camelot.__file__}.\")\n",
+    "\n",
+    "# Select a pdf to analyze.\n",
     "kwargs = {}\n",
     "data = None\n",
     "# pdf_file = \"vertical_header.pdf\"  # test_network_vertical_header\n",
@@ -76,68 +43,33 @@
     "# pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"}  # data_stream_strip_text\n",
     "# pdf_file, kwargs, data = \"tabula/m27.pdf\", {\"columns\": [\"72,95,209,327,442,529,566,606,683\"], \"split_text\": True, }, data_stream_split_text  # data_stream_split_text\n",
     "# pdf_file = \"clockwise_table_2.pdf\"  # test_network_table_rotated / test_stream_table_rotated\n",
-    "# pdf_file = \"vertical_header.pdf\"\n",
+    "pdf_file = \"vertical_header.pdf\"\n",
     "\n",
     "# pdf_file = \"twotables_2.pdf\"\n",
-    "pdf_file = \"camelot-issue-132-multiple-tables.pdf\"\n",
+    "# pdf_file = \"camelot-issue-132-multiple-tables.pdf\"\n",
     "# pdf_file, kwargs, data = \"edge_tol.pdf\", {\"edge_tol\": 500}, data_stream_edge_tol\n",
     "# pdf_file, kwargs, data = \"edge_tol.pdf\", {}, data_stream_edge_tol\n",
     "\n",
-    "filename = os.path.join(testdir, pdf_file)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": "Found 2 tables (7x4, 3x3) in 0.18s\n"
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "         0         1     2     3\n0        1  Ghfhbdhj     1      \n1   Vgvhgh        Hj    Hj    Hj\n2       Hj        Hj    Hj    Hj\n3       Hj        Hj     J    Hj\n4        V         C     D  Gfhj\n5      Hjb         B  Jhbh    Hj\n6  Hjdhshj    Hjhjhh  Ddnj  dsxv",
-      "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>0</th>\n      <th>1</th>\n      <th>2</th>\n      <th>3</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>Ghfhbdhj</td>\n      <td>1</td>\n      <td></td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Vgvhgh</td>\n      <td>Hj</td>\n      <td>Hj</td>\n      <td>Hj</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Hj</td>\n      <td>Hj</td>\n      <td>Hj</td>\n      <td>Hj</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Hj</td>\n      <td>Hj</td>\n      <td>J</td>\n      <td>Hj</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>V</td>\n      <td>C</td>\n      <td>D</td>\n      <td>Gfhj</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Hjb</td>\n      <td>B</td>\n      <td>Jhbh</td>\n      <td>Hj</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>Hjdhshj</td>\n      <td>Hjhjhh</td>\n      <td>Ddnj</td>\n      <td>dsxv</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "       0     1   2\n0  Trtrt     H  Gh\n1     Gh     V  Hv\n2     Hv  Bhjb  hg",
-      "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>0</th>\n      <th>1</th>\n      <th>2</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Trtrt</td>\n      <td>H</td>\n      <td>Gh</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Gh</td>\n      <td>V</td>\n      <td>Hv</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Hv</td>\n      <td>Bhjb</td>\n      <td>hg</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": "<Figure size 2160x864 with 3 Axes>",
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-     },
-     "metadata": {},
-     "execution_count": 3
-    }
-   ],
-   "source": [
+    "filename = os.path.join(\n",
+    "    os.path.dirname(os.path.abspath('.')),\n",
+    "    \"camelot/tests/files\",\n",
+    "    pdf_file\n",
+    ")\n",
     "\n",
-    "PLOT_TYPES = [\"text\", \"textedge\", \"network_table_search\"]\n",
+    "# Set up plotting options\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
     "PLOT_HEIGHT = 12\n",
-    "plt.rcParams[\"figure.figsize\"] = [PLOT_HEIGHT * 2.5, PLOT_HEIGHT]\n",
-    "fig, axes = plt.subplots(1, len(PLOT_TYPES))\n",
-    "fig.suptitle('Side-by-side Flavor Review')\n",
-    "tables_list = []\n",
-    "flavor = \"network\"\n",
-    "timer_before_parse = time.perf_counter()\n",
-    "tables = camelot.read_pdf(filename, flavor=flavor, debug=True, **kwargs)\n",
-    "tables_list.append(tables)\n",
-    "timer_after_parse = time.perf_counter()\n",
+    "def init_figure_and_axis(title):\n",
+    "    fig = plt.figure(figsize=(PLOT_HEIGHT * 2.5, PLOT_HEIGHT))\n",
+    "    ax = fig.add_subplot(111)\n",
+    "    ax.set_title(title)\n",
+    "    return fig, ax\n",
     "\n",
-    "if len(tables):\n",
+    "# Utility function to display tables\n",
+    "def display_parse_results(tables, parse_time, flavor):\n",
+    "    if not tables:\n",
+    "        return\n",
     "    tables_dims = \", \".join(\n",
     "        map(\n",
     "            lambda table: \"{rows}x{cols}\".format(\n",
@@ -146,87 +78,24 @@
     "            ), tables\n",
     "        )\n",
     "    )\n",
-    "    print(\"Found {table_num} tables ({tables_dims}) in {parse_time:.2f}s\".format(\n",
-    "        table_num=len(tables),\n",
-    "        tables_dims=tables_dims,\n",
-    "        parse_time=timer_after_parse - timer_before_parse,\n",
-    "    ))\n",
+    "    print(f\"The {flavor} parser found {len(tables)} table(s) ({tables_dims}) in {parse_time:.2f}s\")\n",
     "    for table in tables:\n",
-    "        display(table.df)\n",
-    "        for plot_idx, plot_id in enumerate(PLOT_TYPES):\n",
-    "            ax = axes[plot_idx]\n",
-    "            fig = camelot.plot(table, kind=plot_id, ax=ax)\n",
-    "            ax.set_title(\"{flavor} - {plot_id}\".format(\n",
-    "                flavor=flavor,\n",
-    "                plot_id=plot_id,\n",
-    "            ))\n",
-    "\n",
-    "timer_after_plot = time.perf_counter()\n",
-    "fig\n"
+    "        display(table.df)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 4,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "tables = camelot.read_pdf(filename, flavor='stream')\n",
-    "fig = camelot.plot(tables[0], kind='text')\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
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\n"
-     },
-     "metadata": {},
-     "execution_count": 5
-    }
-   ],
-   "source": [
-    "ax = fig.add_subplot(111, aspect=\"equal\")\n",
+    "## Overall Algorithm\n",
     "\n",
-    "def add_rectangle(ax, bbox, color):\n",
-    "    ax.add_patch(\n",
-    "        patches.Rectangle(\n",
-    "            (bbox[0], bbox[1]), bbox[2] - bbox[0], bbox[3] - bbox[1],\n",
-    "            fill=False, color=color\n",
-    "        )\n",
-    "    )\n",
+    "The hybrid parser combines results from the network parser and the lattice parser to get the \"best of both worlds.\" Before we look at the combination itself, let's see how each of the two parsers work.\n",
     "\n",
-    "add_rectangle(ax, (71.039971584, 766.039693584, 78.46358609455301, 792.439683024), \"blue\") # most aligned\n",
-    "add_rectangle(ax, [71.039971584, 766.039693584, 528.2376647048496, 792.439683024], \"green\") # current bbox\n",
-    "add_rectangle(ax, (71.039971584, 550.759779696, 78.46358609455301, 595.879761648), \"orange\") # t considered\n",
+    "### Network parser\n",
     "\n",
-    "col_bounds = [[15.110600000000002, 85.17270800000026], [91.35392000000013, 111.20462000000025], [117.41954000000024, 135.20402000000024], [145.73642000000024, 159.08282000000023], [171.77798000000024, 185.12438000000023], [197.81954000000025, 211.16594000000023], [221.57774000000023, 239.36222000000024], [247.61930000000024, 265.4037800000002], [275.87192000000005, 289.2825800000003], [306.4158200000003, 310.88606000000027], [325.73594000000026, 343.52042000000023], [358.4989400000002, 362.96918000000016], [377.81906000000015, 395.6035400000001], [429.90218000000016, 447.68666000000013], [481.98530000000017, 499.76978000000014], [514.7483000000002, 519.2185400000002], [534.0684200000002, 551.8529000000002], [566.8314200000002, 571.3016600000002], [588.37064, 601.7813000000002], [614.4282800000001, 627.8228600000002], [640.5180200000002, 653.8644800000004], [666.5033000000001, 679.9059800000002], [692.6011400000002, 705.9556400000006], [718.6427000000002, 731.9891000000002]]\n",
-    "for bound in col_bounds:\n",
-    "    ax.plot(\n",
-    "        [bound[0], bound[0]],\n",
-    "        [10, 100],\n",
-    "        color=\"red\",\n",
-    "    )\n",
-    "for bound in col_bounds:\n",
-    "    ax.plot(\n",
-    "        [bound[1], bound[1]],\n",
-    "        [10, 100],\n",
-    "        color=\"yellow\",\n",
-    "    )\n",
-    "col_splits = [88.2633140000002, 114.31208000000024, 140.47022000000024, 165.43040000000025, 191.47196000000025, 216.37184000000025, 243.49076000000025, 270.6378500000001, 297.8492000000003, 318.31100000000026, 351.00968000000023, 370.39412000000016, 412.75286000000017, 464.8359800000002, 507.25904000000014, 526.6434800000002, 559.3421600000001, 579.8361500000001, 608.1047900000001, 634.1704400000002, 660.1838900000002, 686.2535600000002]\n",
-    "for col_split in col_splits:\n",
-    "    ax.plot(\n",
-    "        [col_split, col_split],\n",
-    "        [10, 120],\n",
-    "        color=\"brown\",\n",
-    "    )\n",
-    "fig\n"
+    "The network parser is text-based: it relies on the bounding boxes of the text elements encoded in the .pdf document to identify patterns indicative of a table.\n",
+    "\n",
+    "The plot belows shows the bounding boxes of all the text elements on the parsed document, in light blue for horizontal elements, light red for vertical elements (rare in most documents)."
    ]
   },
   {
@@ -234,7 +103,226 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "# Parse file\n",
+    "flavor = \"network\"\n",
+    "timer_before_parse = time.perf_counter()\n",
+    "tables = camelot.read_pdf(filename, flavor=flavor, debug=True, **kwargs)\n",
+    "timer_after_parse = time.perf_counter()\n",
+    "\n",
+    "if tables:\n",
+    "    fig, ax = init_figure_and_axis(f\"Text elements in PDF\\n{pdf_file}\")\n",
+    "    camelot.plot(tables[0], kind=\"text\", ax=ax)\n",
+    "else:\n",
+    "    print(\"No table found for this document.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Network parser - step 1: Identify a network of connected alignments\n",
+    "\n",
+    "The network parser starts by identifying common horizontal (shown in green on the plot below) or vertical (in blue) coordinate alignments across these text elements.  In other words it looks for bounding box rectangles which either share the same top, center, or bottom coordinates (horizontal axis), or the same left, right, or middle coordinates (vertical axis). See the `generate` method.\n",
+    "\n",
+    "Once the parser found these alignments, it performs some pruning to only keep text elements that are part of a network - they have connections along both axis  The idea is that it's not enough for two elements to be aligned to belong to a table, for instance the lines of text in this paragraph are all left-aligned, but they do not form a network.  The pruning is done iteratively, see `remove_unconnected_edges` method.\n",
+    "\n",
+    "Once the network is pruned, the parser keeps track of how many alignments each text element belongs to: that's the number on top (vertical alignments) or to the left of each alignment in the plot below.  The text element with the most connections (in red on the plot) is the starting point -the *seed*- of the next step.  Finally, the parser measures how far the alignments are from one another, to determine a plausible search zone around each cell for the next stage of growing the table. See `compute_plausible_gaps` method."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if tables:\n",
+    "    fig, ax = init_figure_and_axis(f\"Text edges in PDF\\n{pdf_file}\")\n",
+    "    camelot.plot(tables[0], kind=\"textedge\", ax=ax)\n",
+    "else:\n",
+    "    print(f\"No table found for document {pdf_file}.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Network parser - step 2: Detect table body iteratively from seed\n",
+    "\n",
+    "In the next step, the parser iteratively \"grows\" a table, starting from the seed identified in the previous step. The bounding box is initialized with the bounding box of the seed, then it iteratively searches for text elements that are close to the bounding box, then grows the table to ingest them, until there are no more text elements to ingest.  The two steps are:\n",
+    "* Search: create a search bounding box by expanding the current table bounding box in all directions, based on the plausible gap numbers determined above.  Search bounding boxes are shown in orange on the graph below.  \n",
+    "* Grow: if a networked text element is found in this search area, expand the table bounding box so that it includes this new element.  Each successive table bounding box is shown in red in the plot below.\n",
+    "\n",
+    "Notice in the plot below how the search area and the table bounding box grow starting from the seed. See method `search_table_body`.\n",
+    "\n",
+    "#### Network parser - step 3: Search for a header section\n",
+    "\n",
+    "Headers are often aligned differently from the rest of the table.  To account for this, the network parser searches for text elements that are good candidates for a header section: these text elements are just above the bounding box of the body of the table, and they fit within the rows identified in the table body.  See the method `search_header_from_body_bbox`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if tables:\n",
+    "    fig, ax = init_figure_and_axis(f\"Growth steps for table in PDF\\n{pdf_file}\")\n",
+    "    camelot.plot(tables[0], kind=\"network_table_search\", ax=ax)\n",
+    "else:\n",
+    "    print(\"No table found for this document.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Network parser - step 4: Repeat\n",
+    "\n",
+    "There are sometimes multiple tables on one page.  So once a first table is identified, all the text edges it contains are removed, and the algorithm is repeated until no new network is identified.\n",
+    "\n",
+    "The final parse for this .pdf is as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "display_parse_results(tables, timer_after_parse - timer_before_parse, flavor)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Lattice parser\n",
+    "\n",
+    "The lattice parser is based on an analyzis of the image from the .pdf, rather than its text content.  It relies on the borders of the tables to be solid vertical lines.\n",
+    "\n",
+    "#### Lattice parser - step 1: Identify solid lines within the document.\n",
+    "\n",
+    "The lattice parser relies on the OpenCV library (`getStructuringElement` function) to detect all solid vertical and horizontal lines within the document."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Parse file\n",
+    "flavor = \"lattice\"\n",
+    "timer_before_parse = time.perf_counter()\n",
+    "tables = camelot.read_pdf(filename, flavor=flavor, debug=True, **kwargs)\n",
+    "timer_after_parse = time.perf_counter()\n",
+    "\n",
+    "if tables:\n",
+    "    fig, ax = init_figure_and_axis(f\"Line structure in PDF\\n{pdf_file}\")\n",
+    "    camelot.plot(tables[0], kind=\"line\", ax=ax)\n",
+    "else:\n",
+    "    print(\"No table found for this document.\")\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Lattice parser - step 2: Find the contours of the table(s) based on the solid lines.\n",
+    "\n",
+    "The lattice parser then uses OpenCV's `findContours` function to detect the overall bounding box of the table(s), since the solid lines might draw more than one table."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for table in tables:\n",
+    "    fig, ax = init_figure_and_axis(f\"Contour structure in PDF\\n{pdf_file}\")\n",
+    "    camelot.plot(table, kind=\"contour\", ax=ax)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Lattice parser - step 3: Identify joints\n",
+    "\n",
+    "For each table bounding box (contour), the lattice parser then makes a list of all the intersections between vertical and horizontal lines: the joints."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for table in tables:\n",
+    "    fig, ax = init_figure_and_axis(f\"Joint structure in PDF\\n{pdf_file}\")\n",
+    "    camelot.plot(table, kind=\"joint\", ax=ax)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Lattice parser - step 4: Identify rows and columns\n",
+    "\n",
+    "In the final step, the algorithm sorts all the x coordinates of the joints to identify the position of the table's columns, and the y coordinates for the table's rows.  See method `_generate_columns_and_rows`.\n",
+    "\n",
+    "The resulting lattice parse for the .pdf is as follows."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "display_parse_results(tables, timer_after_parse - timer_before_parse, flavor)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Combining results of Network and Lattice with the Hybrid parser\n",
+    "\n",
+    "The hybrid parser aims to combine the strengths of the Network parser (identifying cells based on text alignments) and of the Lattice parser (relying on solid lines to determine tables rows and columns boundaries).\n",
+    "\n",
+    "#### Hybrid parser - step 1: Apply both parsers table bounding box detection techniques to the document\n",
+    "\n",
+    "In this step, hybrid calls both parsers, to get a) the standard table parse, b) the coordinates of the rows and columns boundaries, and c) the table boundaries (or contour).\n",
+    "\n",
+    "#### Hybrid parser - step 2: Merge the results\n",
+    "\n",
+    "If there are areas in the document where both lattice and network found a table, the hybrid parser uses the results from network, but enhances them based on the rows/columns boundaries identified by lattice in the area.  Because lattice uses the solid lines detected on the document, the coordinates for b) and c) detected by Lattice are generally more precise. See the `_merge_bbox_analysis` method.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "flavor = \"hybrid\"\n",
+    "timer_before_parse = time.perf_counter()\n",
+    "tables = camelot.read_pdf(filename, flavor=flavor, debug=True, **kwargs)\n",
+    "timer_after_parse = time.perf_counter()\n",
+    "\n",
+    "display_parse_results(tables, timer_after_parse - timer_before_parse, flavor)"
+   ]
   }
  ],
  "metadata": {
diff --git a/parser-comparison-notebook.ipynb b/parser-comparison-notebook.ipynb
index 2e1f9db..0dba42f 100644
--- a/parser-comparison-notebook.ipynb
+++ b/parser-comparison-notebook.ipynb
@@ -4,70 +4,39 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Common import and setup\n"
+    "# Parser comparison\n",
+    "\n",
+    "This notebook lets you visualize side-by-side how each parser analyzes a document, and compare the resulting tables.\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": "'/Users/francoishuet/Code/camelot/camelot/__init__.py'"
-     },
-     "metadata": {},
-     "execution_count": 1
-    }
-   ],
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
    "source": [
-    "import os, sys, time, pytest\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "from matplotlib import patches, lines\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "from pandas.testing import assert_frame_equal\n",
-    "\n",
-    "import pdfminer\n",
-    "\n",
-    "from IPython.display import display\n",
-    "\n",
-    "# Make sure we use the local version of camelot if it is here\n",
-    "sys.path.insert(0, os.path.abspath(''))\n",
-    "\n",
+    "# Bootstrap and common imports\n",
+    "import os, sys, time\n",
+    "sys.path.insert(0, os.path.abspath('')) # Prefer the local version of camelot if available\n",
     "import camelot\n",
-    "from camelot.core import Table, TableList, TextEdges\n",
-    "from camelot.__version__ import generate_version\n",
-    "from camelot.utils import get_text_objects, text_in_bbox\n",
-    "from camelot.parsers.stream import Stream\n",
-    "from camelot.parsers.lattice import Lattice\n",
-    "from camelot.parsers.network import Network\n",
-    "from camelot.parsers.hybrid import Hybrid\n",
-    "from camelot.handlers import PDFHandler\n",
-    "from camelot.plotting import draw_pdf\n",
-    "from tests.data import *\n",
     "\n",
-    "testdir = os.path.dirname(os.path.abspath('.'))\n",
-    "testdir = os.path.join(testdir, \"camelot/tests/files\")\n",
-    "\n",
-    "# To check which library we're using\n",
-    "camelot.__file__\n"
+    "print(f\"Using Camelot v{camelot.__version__} from file {camelot.__file__}.\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Selection of file to review\n",
+    "## Select a PDF file to review\n",
     "\n",
     "This is seeded with the unit test files for convenience."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -83,61 +52,34 @@
     "# pdf_file, kwargs = \"tabula/us-007.pdf\", {\"table_regions\": [\"320,335,573,505\"]} # test_hybrid_table_regions\n",
     "# pdf_file, kwargs = \"detect_vertical_false.pdf\", {\"strip_text\": \" ,\\n\"}  # data_stream_strip_text\n",
     "# pdf_file, kwargs, data = \"tabula/m27.pdf\", {\"columns\": [\"72,95,209,327,442,529,566,606,683\"], \"split_text\": True, }, data_stream_split_text  # data_stream_split_text\n",
-    "# pdf_file = \"vertical_header.pdf\"\n",
+    "pdf_file = \"vertical_header.pdf\"\n",
     "\n",
     "# pdf_file, kwargs = \"vertical_header.pdf\", {\"pages\": \"2\"}\n",
     "\n",
     "# pdf_file, kwargs = \"PIR_Prospetto.dOfferta.pdf\", {\"pages\": \"6\"}\n",
     "# pdf_file = \"twotables_2.pdf\" # Lattice is better\n",
-    "pdf_file = \"camelot-issue-132-multiple-tables.pdf\"\n",
+    "# pdf_file = \"camelot-issue-132-multiple-tables.pdf\"\n",
     "# pdf_file, kwargs, data = \"edge_tol.pdf\", {\"edge_tol\": 500}, data_stream_edge_tol\n",
     "# pdf_file, kwargs, data = \"edge_tol.pdf\", {}, data_stream_edge_tol\n",
     "# pdf_file, kwargs = \"tabula/icdar2013-dataset/competition-dataset-us/us-030.pdf\", {\"pages\": \"2\"}  # test_lattice\n",
     "# pdf_file, kwargs = \"background_lines_1.pdf\", {\"process_background\": True}  # test_lattice_process_background\n",
     "\n",
-    "filename = os.path.join(testdir, pdf_file)"
+    "filename = os.path.join(\n",
+    "    os.path.dirname(os.path.abspath('.')),\n",
+    "    \"camelot/tests/files\",\n",
+    "    pdf_file\n",
+    ")\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": "##### stream ####\nFound 1 table(s):\n## Table 0 ##\n"
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "         0         1     2               3\n0        1  Ghfhbdhj     1  Hgfdhgjsdhjdsf\n1   Vgvhgh        Hj    Hj              Hj\n2       Hj        Hj    Hj              Hj\n3       Hj        Hj     J              Hj\n4        V         C     D            Gfhj\n5      Hjb         B  Jhbh              Hj\n6  Hjdhshj    Hjhjhh  Ddnj            dsxv",
-      "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>0</th>\n      <th>1</th>\n      <th>2</th>\n      <th>3</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>Ghfhbdhj</td>\n      <td>1</td>\n      <td>Hgfdhgjsdhjdsf</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Vgvhgh</td>\n      <td>Hj</td>\n      <td>Hj</td>\n      <td>Hj</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Hj</td>\n      <td>Hj</td>\n      <td>Hj</td>\n      <td>Hj</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Hj</td>\n      <td>Hj</td>\n      <td>J</td>\n      <td>Hj</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>V</td>\n      <td>C</td>\n      <td>D</td>\n      <td>Gfhj</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Hjb</td>\n      <td>B</td>\n      <td>Jhbh</td>\n      <td>Hj</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>Hjdhshj</td>\n      <td>Hjhjhh</td>\n      <td>Ddnj</td>\n      <td>dsxv</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": "\n##### lattice ####\nFound 1 table(s):\n## Table 0 ##\nSame as stream table 0.\n##### network ####\nFound 2 table(s):\n## Table 0 ##\nSame as stream table 0, lattice table 0.\n## Table 1 ##\n"
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "       0     1   2\n0  Trtrt     H  Gh\n1     Gh     V  Hv\n2     Hv  Bhjb  hg",
-      "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>0</th>\n      <th>1</th>\n      <th>2</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Trtrt</td>\n      <td>H</td>\n      <td>Gh</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Gh</td>\n      <td>V</td>\n      <td>Hv</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Hv</td>\n      <td>Bhjb</td>\n      <td>hg</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": "\n##### hybrid ####\nFound 2 table(s):\n## Table 0 ##\nSame as stream table 0, lattice table 0, network table 0.\n## Table 1 ##\nSame as network table 1.\n"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
    "source": [
     "FLAVORS = [\"stream\", \"lattice\", \"network\", \"hybrid\"]\n",
-    "PLOT_HEIGHT = 12\n",
     "tables_parsed = {}\n",
     "parses = {}\n",
     "max_tables = 0\n",
@@ -185,27 +127,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": "<Figure size 3456x1728 with 8 Axes>",
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nnnhibr311ixYsCC77bbbJl7JpowbNy6nnXZaSikZPXp0/uqv/ioXXXRR9t57bw0VAM8MWXcrkHM7R87tLDm3c+RctpTGSwAAAAAAtlmllDFJXpvk5F6b/z7Jv5dS/izJ75K8s7X9h0nemOTeJCuSnPgMlvqss3Dhwtxxxx0b3ee4447Lgw8+mF133TX77rtv7rzzzo3uf9JJJ+Xhhx/OS1/60kyePDl33XXX1ix5mzF79uysXbs2Y8eO3eA+K1euzB/+4R9m11133eT/DvxerTULFizIXXfdlR122GGD+y1atCjHHHNM5syZk0ceeeQZrHDb9thjj2XevHkb/Zvs6urK2LFj84Y3vGGT3wk82Zw5c/KCF7xgoMsAtiGy7tMj53aOnNs5cm5nybmdtb3mXI2XAAAAAABss2qty5Ps3GfbwiSv6WffmuR9z1Bpz3pz587NjTfe2Na+q1atyk033dT2sVevXp0FCxY83dK2effee28WLVqUVatWbXLfW2655RmoaPCotWbOnDmZMWNGhg8fvsn9H3300U3uw+8tXrw4Dz30UFvfDYsXL34GKhpc7r///rzyla8c6DKAbYis+/TIuZ0j53aOnNtZcm5nba85V+MlAAAAAABshw488MCccMIJA13GoDR27NhMnDjxScsusnXUWvPggw/mXe96V0aNGjXQ5Qw63bMm+W7oDH+zAM8MObdz5NzOkXM7S87trO31b3bIQBcAAAAAAAAMvPXr12f+/Pmptaarqyvz58/PmjVrcu+996aZQIktsWLFiixdujRJs/zikiVLsnDhQjPVbAW11ixcuDBr165N0iy/uGbNmtx///1tzcbExvX33bB69ercd999vhsA2CbIuZ0l53aOnNtZci5bSuMlAAAAAACQJUuW5BOf+ES6urqyYsWKfPSjH82yZcty8803u+i0FVx99dX5/ve/nyT59a9/nfPPPz9z5szJAw88MMCVDQ5nnnlm5syZkyQ5++yzc88992TmzJlZvnz5AFe27Xv88cfzyU9+Ml1dXVm2bFk+9rGP+W4AYJsi53aWnNtZcm7nyLlsKUuNAwAAAAAAqbXmiSeeyBNPPJGVK1dm2bJlGTp0aB5//HEXnbaCdevWZenSpT3nePXq1RkyZEgWL1480KUNCitWrOg5t0888URqrVm1alVWr1490KVt87q/G5YtW9bzM2zYsCxatMh3AwDbBDm3s+TczpJzO0fOZUuZ8RIAAAAAAEiS/Pa3v80pp5ySD3zgA3nssceyZs2aXHvttenq6hro0gaFiy66KCeffHLOPvvsdHV1Zc6cObn99tsHuqxBYdWqVfn4xz+ek08+OT/72c+SJDfeeGOWLFkysIUNEnfccUfe+9735rTTTsuCBQuyevXqXHfddS5IA7DNkHM7S87tHDm3s+RctoQZLwEAAAAAgCTJ/vvvn/POOy8rVqzI+9///oEuZ9A57rjjcvLJJ+fqq6/OzJkzB7qcQWXkyJH5h3/4hzz/+c/PRz7ykYEuZ9A58MADc+6552b58uU59dRTB7ocANhscm5nybmdI+d2lpzLltB4CQAAAAAApJSSESNGZPjw4RkxYkRGjBiRUspAlzVoDBkypOe87rDDDhk2zCWaran3362/3a2v+7yuXbvW+QVgmyPndpac21lybmfJuWwJ33YAAAAAAEDGjRuXT33qUxk6dGhGjx6dz3zmM1m6dGnGjh2bIUOGDHR527xXvOIVWbt2bZJk6tSp2W+//XL11Vdn1113HeDKBocPfehDPefy1FNPzciRI7NmzZrsuOOOA1zZtm/ChAn55Cc/mSFDhmTMmDH59Kc/nSVLlmTcuHG+GwDYJsi5nSXndpac2zlyLltK4yUAAAAAAGynurq6en4fMmRIJk2alFprSinZc889c/755+dtb3tbSilP2peNq7Wm1vqkczZ27NgkzTkfM2ZMli1blgceeCAnnHCCc7sZaq09/+x93vbYY48kzfl93vOel+uuuy4HHHBAdtttN+d3M/T3tztkyJBMnDjxSd8NX//61/P2t789SZzfzdD99wtA58m5nSHndo6c21lybmdtrzlX4yUAAAAAAGyHbrjhhixdunST+82ZMyc33HDDM1DR4HHnnXdm3LhxufLKKze573nnnfcMVDS4XHPNNVm3bl1by1h+9rOffQYqGjyWLVuW22+/PYsXL97kvnPnzs211177DFQ1eNx111350Ic+NNBlAAx6cm7nyLmdJed2jpzbWdtrztV4CQAAAAAA26Fp06bl1FNPHegyBqVLL700e+65Zw477LCBLmXQqbVm3bp1Of300zNy5MiBLmfQmTt3bqZPn573v//9A13KoDR9+vSBLgFguyDndo6c2zlybmfJuZ21veZcjZcAAAAAALAdGjZsWEaNGtXzeENLg3Uvu1ZKeaZK2+aNGDEiO+ywQ7/nt5TypHNda82QIUOe8Rq3VbXWDBs2LCNHjtzg+eXpGzlyZIYPH+67oUOGDx8+0CUAbBfk3M6RcztHzu0sObezttec6xsOAAAAAADI8uXLc95556XWmtWrV+fcc8/NwoUL89WvfjVdXV0DXd4275ZbbsnVV1+dpFmi8corr8wvf/nLXHXVVQNc2eDw6KOP5sILL9zgxVOevmXLluVf//VfU2vNqlWr8rWvfS0LFizIueee63wDsE2QcztLzu0sObdz5Fy2lMZLAAAAAAAgq1evzvXXX5+urq6sXbs21157bUaNGpWXvexlZvrYCmbPnp277rorSf4fe/cdXUWd/3/8OTe9h0AILRAlEFooJoBSFAVXF3tdXcvuumv5+tVt3/3prrp2dNfG2l0FXUEQCCIkojQVREogEAgkhBAgpFFCert9fn9A7hJAReFyIXk9zuHAnZk7857PnRlf53w+foZ9+/axZcsWEhMTSUxM9HFlbUNtbS2ZmZm+LqNNslqtfPvtt5imid1u55tvviEsLIxRo0b5ujQREZETopzrXcq53qWc6z3KuXKy9KpxEREREREREREREREBoLi4mFdeeQWHw0F1dTXNzc288sorTJkyRa8JPAW+/PJLmpqaKCwsJCEhgU2bNpGbm8sf//hHX5cm8r2Kiop4+eWXsdvt1NbW0tjYyOTJk/VsEBGRs4Zyrncp58rZSjlXToYGXoqIiIiIiIiIiIiICADh4eEMGTIEm83G+vXrMU0Tp9Pp67LajB49ejBkyBBM08TlcuF2u3G5XL4uS+QHRUREMGTIEKxWKxs3btSzQUREzjrKud6lnCtnK+VcORkamisiIiIiIiIiIiIiIgDExMQwfvx4Lr74YkJDQ31dTpuTlJTEpZdeSkpKil5reQrV19dTWVlJYGCgr0tpszp27MiECRMYN24cISEhvi5HRETkR1PO9S7lXO9QzvU+5Vw5GZrxUkRERERERERERERECA4O5uKLL8ZisRAQEMD48eOxWCz4+6sr4VRISEggOjoagG7dujF06FBM0yQgIMDHlZ39iouLWbp0KXfccYevS2mTWp4NhmEQGBjI+PHjMQxDzwYRETlrKOd6l3Ku9yjnepdyrpwsXSkiIiIiIiIiIiIiIkJoaCi//vWvMQyD4OBgfv3rXzNlyhT69u2rjqdTYPDgwZ5/JyUlERMTw5NPPsltt93mw6rahgEDBvD4448DaIYlLwgPD+dXv/qV59lw55138u6779KvXz/8/Px8XZ6IiMgPUs71LuVc71HO9S7lXDlZ+i+IiIiIiIiIiIiIiEg7VFxczNdff/2923To0IH4+HiWL19+eopqI7Zu3cqBAwdoamr6zm0cDgcXXnghVqv1B38Haa2oqIhvvvlGr1z0gsrKSgoLC3/wmuzYsSPnnHOOng0/0rZt20hMTPR1GSIibZ5yrvco53qXcq73KOd6V3vNuRp4KSIiIiIiIiIiIiLSDjmdzu/tMAUICwvDNM0f3E5as9vtWK3WH2y3iIgIrFbraaqq7XA6nTQ3N+N0On1dSpvT3NyM3W7/wWs3PDwct9utZ8OPZLfbfV2CiEi7oJzrPcq53qWc6z3Kud7VXnOuBl6KiIiIiIiIiIiIiLRD5557LldccYWvy2iTrFYrPXr0YOTIkb4upc0xTZN169Zx2WWXERIS4uty2pzy8nIqKyv1bPCShoYGX5cgItIuKOd6j3Ku9yjnepdyrne115yrgZciIiIiIiIiIiIiIkJ5eTnh4eFERkbicrkoKirinHPOwWKx+Lq0NsE0TSoqKiguLiYyMpLevXvj5+fn67LaBNM02b17N5WVlYSEhJCYmEhwcLCvy2pT7HY7BQUFnsEWcXFxrF27lvXr15OUlER8fDwDBgwADg3I2Lp1KykpKRiG4ePKRURElHO9TTnXe5RzvU85V06G/isiIiIiIiIiIiIiIiJ8/fXXzJw5E9M0KS4u5tVXX8U0TV+X1WYUFhby17/+ldzcXGbNmsX+/ft9XVKb8sILL5CZmclnn33Gk08+qVcDnkI2m43HH3+c+fPnU1hYSFpaGk1NTXz44YdMmDCB7du3U1hYSGNjI263G7fbTWVlpZ4fIiJyxvNc/c4AACAASURBVFDO9S7lXO9SzvUe5Vw5WZrxUkREREREREREREREuPDCC/n73//OXXfdxYoVK7jgggs0C9ApYpoms2fP5oYbbmDixInqqPMCi8XCxIkTSUhI4O9//zvr1q1j3Lhxvi6rTVi/fj1Op5OHH34Yl8uFYRgUFhayevVqEhMT8ff3Z+7cuSxcuJBRo0Zx4403snHjRsaPH69niIiInBGUc71HOdf7lHO9RzlXTpauAhERERERERERERERoXv37kRFRVFYWMjGjRu55JJL9Pq0U2jPnj0kJiZiGAYWi0UddV5isVjo2bMnVVVVvi6lzSgtLaV///4cOHCAf/7zn9xzzz106dKF5ORk7rzzTvz9/bngggt49tlnWbZsGc3NzWzdulUDL0RE5IyhnOtdyrmnh3LuqaecKydLTzsREREREREREREREcEwDMaNG8e0adMICwsjNjbW1yW1Keeeey6bNm3CNE3sdjtOp9PXJbVJTqeTgoIC4uPjfV1Km5GYmMjatWuJiYnhkUcewTRNHA4HFosFf/9DL9fr3r07wcHBuFwudUSLiMgZRznXu5RzTw/l3FNPOVdOll41LiIiIiIiIiIiIiIiGIbB6NGjeemll3j00Uc1U80pZBgGv/zlL3niiScoKiqiqqqKP/zhD3Tr1s3XpbUZ/v7+TJs2DYfDQUJCAsOGDfN1SW3GkCFD6NWrFw899BDx8fHY7XYCAwMJDw/HMAyCg4MJDAzEMAzPMhERkTOJcq73KOd6n3Ku9yjnysnSwEsREREREREREREREQEgNjaWBQsWEBkZ6etS2pyePXvy1ltvUVVVRUREhNr4FHvyySdpamoiNDSU6OhoDag4hQICAvjb3/5GZWUldrud+++/n7CwMCZNmkRUVBS33HILfn5+BAUF8fzzz1NWVkZ0dDR+fn6+Ll1ERMRDOdd7lHO9SznXe5Rz5WRp4KWIiIiIiIiIiIiISDvkdrux2+3HLG/pKD3eOjkxTqcTp9N5TBv6+/vTuXNnABwOhy9KO+uZponb7cbhcLTq8AwPDyc8PBxAr7c8CQ6HA5fLddz7Pzo6utV24eHhOJ1OAgMDgUPtHhYWRk5ODrfddpt+h+NwuVy+LkFEpF1QzvUe5VzvUc71LuVc72qvOVcDL0VERERERERERERE2qHVq1dTX1/v6zLapG3bthEZGcnixYt9XUqbY5om33zzDU6nk4CAAF+X0+bU19eTl5dHbW3tSe2noKCARYsWnaKq2o78/HwefvhhX5chItLmKed6j3Ku9yjnepdyrne115yrgZciIiIiIiIiIiIiIu3Q6NGj+dOf/uTrMtqkefPm0aNHD0aMGOHrUtoc0zR5+umnefjhhwkODvZ1OW3O3r17mTNnDn/4wx98XUqbNGfOHF+XICLSLijneo9yrvco53qXcq53tdecq4GXIiIiIiIiIiIiIiLtkGEYrV5hZ5ompmliGIbns2EYnlex1dbWEhsb61kv381isWCxWI5pX7fb7VmvdvxpWq7L47WvaZo0NTXhdDo9rwt0Op1UVFTQpUsXDMPANE0OHDhATEyMZhI6ju+6do/3bHA4HAQEBOha/hEsFouvSxARaReUc71HOdd7lHO9SznXu9przm2fZy0iIiIiIiIiIiIiIq3U19fz4osv4na7aW5u5h//+AcHDx7k3XffpbCwkFdeecXXJZ7V1qxZw/3338+jjz7KkiVLME3T1yW1KaWlpbz99tssX76ctLQ0z/KamhqefPJJz2AAgEmTJrF3715flHlWqq2t5aWXXvJ0+P/zn/+koqKCd999V9exiIicFZRzvUs517uUc71HOVdOlgZeioiIiIiIiIiIiIgIDoeD3NxcTNPE5XKxdetWQkNDSU1NxTRNKioqmDNnDsuXL2/VuScnpqKigkGDBnHfffcxY8YMteEp1tTUxPbt23E6nZSWljJ16lRycnIwTZOamhoyMjJIT0/H6XRitVrJyspiypQpVFdX+7r0M96Rzwan08nWrVsJCwsjJSXF16WJiIicEOVc71LO9S7lXO9RzpWTpYGXIiIiIiIiIiIiIiICwI4dO3jooYd49NFHOXjwIE1NTbz55pu4XC7y8/Pp2rUrM2bMID8/39elnpXS09N57rnnSEpK0mvrvGjTpk306tWLF198EavVyp49ewgODmbVqlWsWLGC5uZmdu3ahd1uZ/r06b4u96xQUFDA//t//4/HHnuMyspKmpqaeOuttzSwQkREzhrKud6lnHt6KOeeesq5cjI08FJERERERERERERERADo2rUrv/rVr7jtttuIjIwE8LxibcSIEYwdO5bBgwezc+dOX5Z51jr//PO5//77yc3NZd++fb4up8267LLLuOiiizBNE6vVSlJSEpdeeiljx44lLy+P0NBQbrzxRsaMGUNJSYmvyz0rdOvWjV//+tfcdtttREREYJqmXr8oIiJnFeVc71LOPT2Uc0895Vw5GRp4KSIiIiIiIiIiIiIiAISHhzNw4EAGDBhAYGBgq3W5ubls3bqVjRs3Eh8f76MKz25BQUEEBgbicDhwuVy+LqfNqKioYNeuXYSFhR13fVFREdnZ2axYsYJzzz0XQDMx/Ugtz4b+/fsf82wQERE5Gyjnepdyrnco53qfcq6cDH9fFyAiIiIiIiIiIiIiIr7XMjuKxWIhKCiIX/ziFxiGQWBgIHFxcdx+++2sWbOGa6+9lkGDBvm63LNO//792b17N8uXL+evf/0r3bt393VJbUZtbS07d+7k7rvvxul0Eh8fj8Vi4aabbqJjx4787ne/Y8uWLQwbNowJEybg5+dHdHQ0ISEh/PznP/d1+We8sLAwbrzxRgzDIDg4mJtvvtnzbBARETkbKOd6l3Ku9yjnepdyrpwsDbwUERERERERERERERFCQkK4+uqrAQgMDOSKK67gzTffZOjQocTFxXHnnXf6uMKzW9++fenbt6+vy2iTEhMTeeCBB45Zfs011wBwxx13tFp+ZCf0JZdc4t3i2oDQ0FCuuuoq4NBsVldccQWvvfYaKSkp+Pn5+bg6ERGRH6ac613Kud6jnOtdyrlysk5o4KVhGJcDrwJ+wBTTNP9x1PqewIdA9OFt/mqa5uenuFYRERERkVNOWVdERERERNqr/Px8Zs+e/b3bREREEBQUxJw5c05TVW1DZmYmHTt2pKioyNeltDmmaZKbm8vcuXM1E40XVFdXk52d/b3PBtM0iY6O1rPhJ8jMzCQxMdHXZYiItHnKud6jnOs9yrnepZzrXe015/7gwEvDMPyAN4FLgVJgvWEY6aZp5h2x2WPAHNM03zYMYwDwOZDghXpFRERERE4ZZV0REREREWnPoqOj22XHyOmwZ88e4uLi1L5eYJomMTEx9O7dm6CgIF+X0+ZUVFSwY8cOXbteokEqIiKnh3Ku9yjneo9yrncp53pXe825JzLj5Qig0DTNXQCGYcwCrgGO7Iw2gcjD/44Cyk9lkSIiIiIiXqKsKyIiIiIi7VaXLl1ISUn50d8zTbPVZ8MwvnOb461rD4qKiujRo8cJt+93tdfRy49s+/batqZp0rVrV4YNG0ZISMgJfwfab5v9GOXl5eTn5x/32tX1d/IKCwt9XYKISLugnOs9yrneo5zrXcq53tVec67lBLbpDpQc8bn08LIjPQncbhhGKYdmAHrwlFQnIiIiIuJdyroiIiIiIiKH2e12NmzYgGmaOJ1OsrKyqK+vZ/HixbjdbuBQh9S0adMoLi7m9ddfx2q1Hndfubm5pKenez47nU4WLVqEzWY7LedyJtq7dy+7d+8G/jvbSkFBATk5OXz22Wds2bLFs219fT1Lly5l9+7dzJo1y7Pc6XTy+uuvY7fbT3v9ZzLTNNmwYQOfffYZX331FXV1da3W5+TksHDhwmO+19LORw+ykO82depUDhw44OsyREREfhTlXO9SzvUe5dzTRzlXfooTGXh5Im4F/mOaZg9gIjDdMIxj9m0Yxj2GYWQZhpFVUVFxig4tIiIiIuJVyroiIiIiItIu1NfX8+qrr+JyuWhubmby5MkAREYeegmA1Wrl4MGDbNy4kdraWjIzM6mtraWyshLTNHG73ezbt4/m5mYOHDjAtm3bOHjwIFarFcMwiIqKatezh6xbt45FixYBsGXLFj799FNCQkIICQlh+/btlJeXc+DAAZxOJ/7+/kRGRlJTU8PmzZuprKykqakJl8vFmjVrqKuro6qqSh2pR3j33XdpaGigqKiIv/3tb9TW1uJyuThw4AAlJSVs374dh8OBzWZj//79rdpZvp9pmjQ3N3Pw4EE2bNhAY2MjVquVffv24XK5sNlsmKaJw+HAbrfjdDoxTRO73e4ZzCIiIuJLyrnepZzrXcq53qOcKyfrRF41XgbEH/G5x+FlR/otcDmAaZprDMMIBjoBrYYCm6b5LvAuQGpqqp6SIiIiIuJryroiIiIiIiJHaGhoYOvWrVitVmw2Gw6Hg/nz55OUlMSTTz5JaGgomZmZ/Pa3v6WyspKXX36Z8vJyHn74YbZv305BQQH9+vUjOjqapUuXejqrJ02aREZGBv369SMwMNDXp+kzZWVl5OTksGvXLkzTpLi4mMLCQtxuN9OmTSM9PZ3k5GRuvfVW5s+fzw033MCqVaswTZOGhgYmTZpERUUFL730EiUlJTzxxBMkJSX5+rTOCH5+fowYMYJzzjmHsrIyMjMz2bFjB3v27GHHjh2MHj2a6dOns2LFCsLCwlq1c2pqKn5+fr4+hTNWTU0Njz32GBEREWzcuBGbzcbzzz9PZGQkP/vZz0hPT+eKK65g4cKFJCUlYbPZuOmmm3jqqad46KGHiIqK8vUpiIiIKOd6mXKu9yjneo9yrpysE5nxcj3QxzCMcwzDCARuAdKP2qYYGA9gGEZ/IBjQND8iIiIicqZT1hURERERETnCvn37+Oijj5g1axZ1dXW4XC5KS0vZsGEDCQkJPPvsswwYMACA8PBw/vznP3PTTTfx7bffUlpaSkhICOeffz6GYTBixAhPB2p1dTVlZWW4XC4fn6FvrVu3junTp7N06VLcbjcNDQ0cPHgQwzC47rrrePrpp1mzZg12u52yskP/X2BycjLPPvssLpeLffv2ERkZyV/+8heuuuoq1qxZ4+MzOvMYhkFsbCx79+5l48aNPP3009xyyy0YhkFlZSVXXnnlMe2sGZW+X2ZmJoMGDeKZZ56hb9++nnZLSkqid+/eXHXVVTz44IN069aNcePG8eWXX5Kfn4/NZiMiIsLX5YuIiADKud6mnOt9yrmnnnKunKwfHHhpmqYTeABYDGwD5pimmWsYxtOGYVx9eLP/A+42DGMz8DHwa1N3r4iIiIic4ZR1RUREREREWktMTOQf//gHzzzzDJ06dfIsd7vdnlcptsyYEhQURFhYGAEBATidTu677z769evHX//6V+x2O9HR0fj5+WEYhjr8Drv22mt58cUXuffee7FY/ttFYxiGp73cbner9oqKisLf3x+LxYLb7SY4OJjQ0FBPu8t/tbwqcOvWrSQmJmKz2XC73fj7H3oB3Pe1s3y3I+9/i8VCeHg4kyZNYuPGjUyfPp3m5mbCwsKoqamhQ4cOxMTEMHXqVCZOnNjqOhcREfEl5VzvUs71LuVc71DOlZN1Iq8axzTNz4HPj1r2+BH/zgNGn9rSRERERES8T1lXRERERETkED8/Pzp37uzpdIqLi8MwDABSUlKYO3cuzzzzDHv37iUwMJDOnTtjsVgIDQ0lKiqKefPmkZ+fT0JCAuHh4URHR2MYBp07d9br7cDTTgAhISFER0cDhzpJo6KiCA0NPabdAwMD6dixIwCdOnVq1e7h4eHtfmalI0VERPDuu+9imiajR49m5MiRrF69mqeeeor9+/czZswYgOO2s3y/kSNH8sknn/DMM89QWVlJc3Mzs2fP5sCBAwwdOpT58+fz9ttv89Zbb7Fv3z6uuuoqXnnlFc477zxfly4iIgIo53qbcq53Ked6j3KunKwTGngpIiIiIiIiIiIiIiJtW1RUFM8884ynk/nZZ59lw4YNdOrUiZiYGF577TVcLhd+fn4EBgby3HPPERwczNixY3G73bjdbux2OyEhIRiGwfDhwzEMg6eeeoqioiIMwyAsLMzXp+kz48aN88w8M3z4cPr168e7775L3759mThxIn5+fvj5+XleDxgXF8eAAQPo27cvAI888ggBAQE8//zzBAcHM378eM1kc4Qnn3wSh8NBQEAAwcHBGIbBn/70J5qamggMDPR0Ph+vnTVg4vvFxMTwxhtvtLr/ExISME2T0NBQLr30UoKDg3n22Wfx8/OjS5cuDB8+nJCQEF+XLiIiAijneptyrncp53qPcq6cLA28FBERERERERERERFph2w2G7W1tccst9vtwKHXrlVUVHDHHXdQX1/vWe9yuTzbtPx9pKamJs+/rVYrACUlJdxxxx3Y7fbjfqetaWpqorGx8bjt29zcDEBdXR3dunVjxIgRnnaCQ+1bVVXFbbfdRmNjI3Dotzry7yPbsGV/7YVpmthsNurq6o57LR3vGmtptyMd2c51dXVeq/dsU19fj9VqPe61C63vf4CGhgbg+M8Ch8PhnSLPYu3tfhUR8RXlXO9RzvUe5VzvUs71rvZ2v7YwfDVKPDU11czKyvLJsUVERETOJIZhbDBNM9XXdcipo6wrIiIicoiyrrQVbTHj19bWMnnyZPz9NT+DNzQ2NuLv709QUJCvS2mTqqurPa/4lFPL5XLR0NDgeV2onFpWq5Xf/e53JCQk+LqUUyo1NZWsrCzdkCJnIeVc+bGUc71LOdd7lHO9q73mXP2XRkRERERERERERESknYmMjOSJJ57wdRkiIiIiIqeUcq6IiJwuGngpIiIiIiIiIiIiItLOaAYVEREREWmLlHNFROR0sfi6ABERERERERERERERERERERERERGRs4UGXoqIiIiIiIiIiIiIiIiIiIiIiIiInCANvBQREREREREREREREREREREREREROUEaeCkiIiIiIiIiIiIiIiIiIiIiIiIicoI08FJERERERERERERERERERERERERE5ARp4KWIiIiIiIiIiIiIiIiIiIiIiIiIyAnSwEsRERERERERERERERERERERERERkROkgZciIiIiIiIiIiIiIiIiIiIiIiIiIidIAy9FRERERERERERERERERERERERERE6QBl6KiIiIiIiIiIiIiIiIiIiIiIiIiJwgDbwUERERERERERERERERERERERERETlBGngpIiIiIiIiIiIiImctwzCiDcOYaxhGvmEY2wzDuMAwjBjDMJYahrHj8N8dDm9rGIbxmmEYhYZh5BiGcZ6v6xcRERER+S7KuiIiImcuDbwUERERERERERERkbPZq8Ai0zT7AUOAbcBfgS9N0+wDfHn4M8DPgT6H/9wDvH36yxUREREROWHKuiIiImcoDbwUERERERERERERkbOSYRhRwIXAVADTNO2madYA1wAfHt7sQ+Daw/++BphmHrIWiDYMo+tpLltERERE5Acp64qIiJzZNPBSRERERERERERERM5W5wAVwAeGYWQbhjHFMIwwIM40zb2Ht9kHxB3+d3eg5Ijvlx5eJiIiIiJyplHWFREROYNp4KWIiIiIiIiIiIiInK38gfOAt03THAY08t9XLQJgmqYJmD92x4Zh3GMYRpZhGFkVFRWnpFgRERERkR/BK1lXOVdEROTU0MBLERERERERERERETlblQKlpmlmHv48l0Od0/tbXqt4+O8Dh9eXAfFHfL/H4WXHME3zXdM0U03TTI2NjfVK8b5mmiaNjY24XC42bNiA3W7/zu02bdpEU1OTZ5nb7WbNmjVkZ2dTUVHBF198QUVFBVVVVZSXl7Nnzx7PtlarlY0bN3JoXMB3czgcbNiwAYfDQUVFBbW1teTm5rY6ZlZWFk6n07PMbrfz1VdfUVhY6FlWWFjIgQMHOJ6dO3eyf//+VueWl5fHihUrcLlcx2zvcrnIysrCbrdz4MABGhsb2bx583eei2ma7NmzhyVLlmC1Wluts9vtbNiwAbfb/b3t0HLM49VzPPn5+VRVVbWqYefOnSxbtoytW7dSWVl5QvsBcDqdZGVl/WCN3/f9b775hry8vJ/0/dOhtLSUxYsX09TUhN1up7q6mubmZlwuFzU1NVRXV9PY2Oj5je12O/X19Zim6dm+qakJ0zSpq6ujurr6mGU1NTU/ug2P97vX1dXR2NiI1Wpl6dKlFBUVedYd/bu3KCoqory8/Kc1zgnYt28fu3bt8nxuua5b2ss0Taqrq7FarTQ0NLBo0SL27t37Xbv7SY537g6Hg6+//pqCgoJTeiwRER/zStZVzm29nXKucu6Jfl85VzlXOVeOpoGXIiIiIiIiIiIiInJWMk1zH1BiGEbS4UXjgTwgHfjV4WW/AhYc/nc6cKdxyPlA7RGvaWx33G43f//736mqquLVV1+loaGhVUeraZqez++88w4VFRWeZSUlJXzwwQeEhITw3nvvUVVVxd69e1m+fDmrV69m6dKlnm1ra2t54403cLvdrTqtjty/aZo0NTUxefJkampqyMjIoKioiA8//NCzncPhYPLkyVitVs/3NmzYwOLFiwkMDPRsN3/+fHJyco45BsBnn33m6Rw3TROr1crLL79MYGDgMefccsxXXnmF2tpa5s+fz969e3nnnXc8648+F9M0mTx5Mi6XC4uldRdMY2Mj//rXv3C5XN/bDjabjVdeeQW73X7c9Ud3hs+aNYsdO3Z41rlcLl5++WUMw2Du3Lnk5+cf93tHM02T5uZmJk+e3KrT/3jbfVdN27dvJy0tjaCgoO891g/Vcbz9f9fn7/r+8bjdbl577TVsNhsNDQ08/vjjvP766yxatIiSkhL+7//+j7fffpvly5d7tn/99df53//9XxwOB++88w6vvvoq99xzD5WVlaSlpfH222/z2GOPMXnyZJYsWcKTTz7JE088wfz580/o/FqWHf27A6xfv57t27ezcuVKvv3221bXecvvfvQ+lyxZwtq1a0/oN/+huo63bsOGDXz22Weez/X19bz66qutrusVK1ZQUlJCeno6ubm5BAQE/Ojf8XjbHH3uR67Pzs5m4cKFJ3XtiYicaZR1fzrlXOXcIynnKucq54q3+Pu6ABERERERERERERGRk/AgMMMwjEBgF/AbDk06MMcwjN8Ce4CbD2/7OTARKASaDm/brlVWVuJyubDZbHz00Ufs37+f3//+9zgcDmbMmEFTUxMXXHABTqeTefPmsW/fPu677z4WLVrE7t272bVrF4sXL2bixImMHTuWkJAQz2w5jz32GKNHj+a8887j4MGD/Otf/8IwDO6//37Wrl3LypUrufLKK+nRowdTpkzB7XbT3NxMUFAQkZGRmKZJcXExkyZNolu3btxyyy00NTXx/vvvc/DgQR544AHmzZtHaWkpDoeD9PR0srKy2LNnD0OGDGHlypWsWLGCiRMnkpKSAhzq0Fq1ahWrVq3isssuw+12s3nzZg4ePEhWVhZLlixh/PjxDBw4kPfeew+bzUZ9fT2BgYF06NAB0zTZt28fL7zwAmFhYdxzzz2sX7+eZcuW4efnx7Bhw1i1ahWDBw9m3bp1xMXFER8fz8KFCxk3bhw1NTW88cYb2Gw2HnzwQXJycli2bBk/+9nPSEpK4r333sNut9PQ0EBTUxPTp0+ntLSUyy67jIEDBzJt2jQOHjxIv379uOWWW7BYLLjdbr788kvS09O5/vrr8ff3JzMzkzFjxmAYBl999RULFizgF7/4BVVVVaSmprJ7926am5tJSUlh2bJljBw5kqlTp+J2u2lqaqK8vJySkhJSU1NJS0vjF7/4BVlZWcTFxfH1119TUlJCfHw8N910E7NmzaK8vJxevXpRVlbGnj17qK+vZ+7cuVx33XWewQG7d+/m6quvprCwkLKyMtxuN5dccgmzZs3i6quvZvfu3QQFBVFVVcWSJUvo0aMHt99+O9nZ2SxZsgSLxcLNN99MYWEh69evp3fv3qSmplJXV8fw4cPJyMhg8ODBpKenU11dzc0330xwcDDl5eWMGjWKBQsWkJiYyIoVKzj33HNZtmwZSUlJXHvttURGRrJ7924GDRrE3XffTVhYGABbt26loqICt9uNxWLhnnvuwTAM/ud//oempibuuusuAJ5//nlGjRpFZmYmY8eOJSYmhszMTEpKSti5cycXXXQR6enpjBs3ji1btrB06VJ69erFrbfeSnp6OsXFxaSkpNDY2MjUqVOpqanh/vvvp2PHjjgcDubNm4fNZsPpdJKWlsbWrVspKCjgsssuY86cOVRUVFBaWsqDDz4IQGZmJtnZ2Vx88cWEh4cTGRlJYmIi6enpTJw4kcDAQDIyMjj//PPJz8/nnHPOoaioiC+++IILLriAq666CsMwPPdMfn4+s2bNonv37nTu3Jnc3Fz+/ve/k5qaypgxY6iurubNN9/E4XBw3333ERsbS3NzM/Pnz6d79+7YbDamTp1KcXEx3bt357bbbuPTTz8lLy+P6667jt27d3PllVeybNkyLr30UkJDQ9m8eTNr165l165dTJgwgUsuuYRPPvnEc+6XX345X375JWvXruXKK6/k008/pbi4GIfD4YMnqYiIVynr/kTKucq5yrnKucq54m2a8VJEREREREREREREzlqmaW4yD70qcbBpmteaplltmmalaZrjTdPsY5rmBNM0qw5va5qm+b+mafY2TTPZNM0sX9d/prBarfTv358+ffqQnp7O9OnTufDCCwkNDcXtduNwOOjevTtjxozh448/ZsCAASQlJTFy5EgSEhIYN24cdXV1LFmyBDj0Wrbf/OY3zJgxg+bmZurr65k4cSJlZWVs2rSJ6dOnc91119GzZ09mz57NgAEDGDNmGOuyYgAAIABJREFUDFarFavVyvz583G73dTX1/PLX/6SlStXsm/fPpqbmxk2bBidO3fmyy+/pH///px33nlYLBYWL17Mvffei9PpxOl0Mn36dK655hoSEhI852maJn5+fvz2t7/l3//+N126dKFnz56kpqby4Ycf8vOf/5w+ffqQkZFBXFwcl112Gc3NzZ5OQafTSX19Pddffz15eXnk5eUxbdo07rnnHnbs2EFSUhLx8fFceOGFrF+/nsLCQmw2G/PmzcPlctHQ0MD48eNpbGxk3bp1fPjhh1xxxRX07t2b+fPn06NHDyZMmEBzczN+fn6MGTOGW265hffff5/09HTi4uIYNGgQVVVVng5Dt9tNaGgod955J6+//rqnE3zMmDEAhISEcPPNNzN16lQKCwtZtWoVGRkZvP/++2zdupWcnBzmzp1L3759GTt2LFarFT8/Pz766CN27tzJa6+9xvbt25k5cybZ2dk0NzczYcIE9uzZw+rVq7FYLIwdO5by8nKSk5MZNGgQXbt29ZxzdnY2BQUFrFy5kl27djFz5kz8/f2ZNWsWJSUlvPnmm2RlZTFr1iyam5t58803ufzyyyksLGTlypV8+OGH3H333ezcuZOIiAgSExO5++67WblyJRUVFXz44YdUVFSQnp5OREQEl19+OZdeeikffPABu3fvZtWqVZimyYIFCwgPD6dnz55cdNFFFBQUsH79eiZNmsRLL71EUFAQRUVF/OlPf2LKlClYrVZmz57Nbbfd5pnVKS8vj/vvvx+73U5MTAyGYbBv3z62b9/O+eefz80338zbb7/N888/zxVXXEFpaSkrVqwADs1CVVZWxltvvcXEiRPZtm0bWVlZzJw5k759+5KcnExjYyMjR47knHPO4eOPP2bLli3k5+fTr18/RowYQXNzM6tWreLuu+/GZrNhmiZpaWkkJCQwZMgQ5s6d65k153e/+x3vv/8+jY2NTJ8+neLiYr788ksCAgIwDIOoqCgef/xx0tPTsVgs/Oc//+HBBx+kd+/erWbnaZmB69Zbb2XMmDG43W6sVit33XUXaWlpNDY20tDQwIQJEwgICODzzz9nzZo1lJeX06dPH0aPHs327dupq6vj8ssvp6ioiKysLHbv3s2DDz5ITEwM5eXlPProo5SVlREcHAxATk4OeXl5/Pa3v2XatGmea7fl3G02GzNmzOCGG26gZ8+eDBgwgKFDh9K9e3fvPixFRE4zZd2Tp5yrnKucq5yrnCveooGXIiIiIiIiIiIiIiLtXGRkJCkpKfTs2ZOqqipCQkJIS0ujoqKCQYMGERwczMiRI+nVqxfV1dVERkYSERFBTEwMYWFhxMbGtnrl4PDhw+nZsycATqeThIQEkpKS6NSpE83Nzdx77728/fbbfP755xQWFpKUlMTQoUOJiopqVdeAAQM455xzCA8Pp6mpiZiYGIYNG0Z8fLynjg4dOlBXV0dERATdu3dn2LBh+Pv7c++99/Lee++RkZHh6WAzDIORI0cSHx8PgJ+fH6GhocTGxnLffffx0UcfMXfuXAoKCujbty+DBg0iNja2VU2JiYkkJibSoUMHmpubsVqtTJ06ld69e9O1a1dCQ0Pp1KlTq/ZoOX737t0ZMGAAcXFx1NfXc9999/Hhhx8yb948duzY4emY7NSpE1VVVUyZMoX169dTUVFBaGgoS5YsISsri1GjRnk6pP38/Dj//PPp1asXVqsVf39/QkND6dixIxaLxbOusbGRcePGsWLFChobGwkLC2PhwoWMGTOGwsJC+vbty9ChQ+nQoQOxsbFERkaSkZHBDTfcQHp6OiEhIcTHx7NmzRoWL17MuHHjiIiI4JtvvuGrr77ioosuIioqiqioKEJDQ1vNJGMYBuPHjycjI4PKykpGjhxJYmIic+fO5eqrr2bZsmXU19cTFRXF/v372bBhA127dqVbt26eWWQSEhKIjIxkzpw5LFq0iAMHDhATE4PFYmH+/PmMHTuW/fv3M2XKFM8MPi01tAgODvb83iEhIdx666089dRTFBYWEhsby+TJk3nuuefIyMhg5cqV5Ofns2DBAvLy8sjKyiI5OZkXX3yRrl27snLlSs8rPy+//HKCgoKYMWMGDz/8MH/5y1949913j3l1YE1NDRUVFWRlZdGjRw86d+5MVFQUo0aNIjw8nNjYWAYNGkTfvn0pLS0FwGKxEBERQYcOHaisrKRjx4706NGD5ORkAMLCwkhNTfXcm4ZhMGLECHr06IG/vz8JCQmUl5eTnp7O5ZdfjsViwTAMBg8eTHZ2Nn379sVmsxESEkLXrl0ZMGBAq3ZzOBw0NDSQkJBA//79CQoK8jwrLBYLDoeDHj16kJSURJ8+fTx1+/n5ER4eTseOHYmOjiYzM5PPP/+ccePGUVpayrnnnkvXrl3p3bs3o0ePZuHChZx//vmtjj1ixAh69uyJy+WipKSk1bkHBQVx991389prr7Fs2TIiIyOJjo4mJCTkBJ96IiLSXijnKucq5yrnKueKt2jgpYiIiIiIiIiIiIhIO9PU1MTnn3+Oy+UiODi4VSeQYRg0Njbi7+9PfHw8TqfTs94wDE9H65HLjnT0vo7+2+VyUVtby3nnnceWLVtITU1l5syZzJw5s9UMN0cfq+XPkftu+dyrVy+Ki4vJyMhg2bJluN1uqqurSUlJYcuWLa3q++STT/j4448JDAwkIiICwzBwu90cPHiQESNGsGXLFkaMGMGcOXM8rxc83vm1nIvb7QYgPj4eh8PhWT9w4ECWL1/e6ryO/K5pmlRWVjJ8+HBycnIYPnw4s2fPZtasWezdu5eysjKampoIDw/H5XJRX19PUFAQcXFxnu/DoZmAZs2axUcffeTpaD3yOEf+OyEhgdzcXGJiYhgyZAjffvstQ4cOZcSIEcyaNYuZM2dSUVGBxWLhvPPOY/78+dxwww188cUXjBo1isbGRoKDg4mOjiYoKIi6ujqCgoLo2LEjAQEBnuOEhIQQHR3NggULWLhwIYZhMGbMGNLT0+nfvz/BwcGMGjWKadOmcc0115CdnU3//v3p1q0b/fv3p3PnziQkJBAREeFp3549e9LQ0EBubi49evTAZrPh5+fH+PHjeeeddxg3bhw7duwgKCgIf39/TNMkISGBgoIC5s6dS35+fqvfb8SIESxYsICMjAwiIyPJz89n0aJFpKen069fP8aMGcMbb7zB9ddfz7nnnkuvXr2YOXMmWVlZ1NTUEBcXR2NjI6tXr+ayyy4DoKamhsLCQioqKggKCiI+Pp6ioiLmzZvH1q1b6dy5M3379qVLly706tWLqKgoTwcxwN69ez2/5fDhw4+51hMTE8nLyyMjI4NvvvnGc48cfZ99+umnzJkzB5fLRZcuXRgyZAjp6elccMEFnut9+vTp/PnPf2bNmjU4nU7q6ur45JNPmD17tqfN4VAnfpcuXZgxYwbTpk2jsbHxmOMVFhaSlpbGJ5984nnd6ZF119fXExwcTFRUFMHBwSQnJ7Ns2TLmz5/P4sWLmTFjBq+88gpTpkzBbrcf99o9+txbZuUaMmSI5x4/+lkkIiLtk3Kucq5yrnKucq6cLsaR06ieTqmpqWZWlma2FhERETEMY4Npmqm+rkNOHWVdERERkUOUdaWtaIsZ3+FwsHbtWjp16kRSUhJbtmxhwIAB1NXVUVVVxauvvsott9zC/v37Wb9+Pbfffju9e/fG6XRSVlZGt27d2Lt3L3379iUvL8/T0fn5559z3333eV7ZmJOTQ58+fdi5cyfJycns2rWLqKgodu3aRU1NDeeddx5hYWGsXbuW0NBQAgICiIuL4+mnn+af//wn+/btIykpiW3bthEfH8/OnTsZNGgQlZWV2Gw2AgMDPTOR5OfnU1ZWRnR0NL169aKoqIjq6mqGDRtGp06dMAyDoqIiKisrqaqqIjk5mY4dO5KXl0dycjKbNm3i4MGDnuVr1qwhMDCQgIAAEhISeOihh5g8eTIlJSUMHDiQHTt24Ha7mTx5Mg888AAff/wxF154oWc2FdM0WbduHQEBAQQEBDBo0CC2bdtGcnIyJSUlBAcHU1paSmVlJYMHD6ZDhw6sXbvWc8zBgwezceNGnE4nISEhfPbZZwwbNoyoqCg++OADpk6dip+fHzt27KCurs5zrtHR0WzZsoXk5GR2795Nx44dCQsLIz8/n+TkZHJycoiNjSU4OJji4mKGDBmCzWZjzZo1hISEEBAQwLBhw6itraWgoICUlBQ2bdpEUlKSpyN/0KBBvPTSS55ZmXr37s2rr77KSy+9hNVq5ZxzzqGsrIxt27YRExNDt27d6Ny5M/feey9/+9vf6N27N42NjWzatIkRI0aQl5dH9+7d6dixIxUVFWzatInAwEASEhKYNGkSv//970lLS2PEiBH06dOHsrIyQkNDGTRoECUlJbz22mu88cYbOJ1OMjMzCQgIICwsjIEDB7J582ZPR3pycjIFBQX069cPPz8/1q9fT2NjI+eddx4Oh4PNmzfj5+dHSkoKkZGRGIaB3W5n27ZtDBo0iNzcXPbu3UvPnj1JSkqiubnZc20bhkFlZSXZ2dkADBs2jA4dOpCTk0NdXR3BwcEMHjyY2tpaNm/eTFBQEMOHD6ewsNBTT3Z2Ng6HA9M0SUlJ4T//+Q/dunVj2LBh+Pn50aVLF7Zu3cqBAweIjIwkMTGRkpISkpKSaGpq4uDBgwQFBVFRUUFVVRUDBw6ka9euVFdXs3PnTlJSUrBYLLhcLnJychg4cCClpaWEh4djtVrJz8+nd+/enHvuua06d1vOKzY2li5dutDc3EyvXr3IycnxdBTbbDaCgoIYMmQIL7zwAhMmTCA2NtYzMME0TYYOHcoLL7zAlClT2LlzJwcPHiQpKYnq6moGDhxIbm4uffv2JTg4mLKyMgzDIC4uji1btnjun5Zz7927NwUFBdTX15OSkoLD4cBms3lmIJPTKzU1laysLI0IEDkLKecq5yrnKucq5yrnynf7oZyrgZciIiIiPqbO6LZHWVdERETkEGVdaSvaW8Z3u92kpaWRk5NDUFAQN9xwwzGvZTtaXV0dL774IldeeSUjR478ycd2Op28/vrr9OrVi+uuu+6MmNnD7Xbz3nvvERISwh133NGqpsbGRt544w0aGxuJjo7mrrvuIjo6+pTXYJomX3/9NcuWLSMwMJDx48czZsyY094+GzduJC0tjcDAQEaOHElMTAwLFiwgMDCQ0aNHc+mll35nTXV1dUyZMoXf//73+Pv7n9DxmpqaeOONN6ivr/e0b4cOHVpts3z5cpxOJ+PHjz8jrpdTpbCwkHfeeYe//OUvdOnSxdflnLBNmzbx8ccf88gjj3heqbpp0yZmz55NYGAgw4cPZ+LEia1eUSpnPw28FDl7Kecq5yrnHqKce/oo58rZRAMvRURERM5w6oxue5R1RURERA5R1pW2oj1mfNM0Pa/4O/rVh9+3/Ylsezr2cyr9UE2nq+Yf+5ucjhpalp1ITT+1nU6k/Y+sp604E++FE3G8us+Ea1e8SwMvRc5eyrnKucq5x6+hZdmJ1KSc++OciffCiVDObZ9+KOee2FBrERERERERERERERFpN35sp9Gp6mQ6Ezurfqim01XzmdA2x6vhRGv6qfWfSPu3RWfC7/1TfNc1cjaei4iItE3Kuf+lnPv9NSjneseZ8Hv/FMq5cjya31RERERERERERERERERERERERERE5ARp4KWIiIiIiIiIiIiISDvW3NzMJ598gsvlYuHChcycOROn0+lZn52dzdatWz2fq6urycjI8LxSzTRN8vLyaGho8Gyza9cuvv3221bHcbvdfPrpp6SlpeF2u39UjW63+7jf2b9/P0uWLDnud/Lz81m3bt2POg6AzWZj7ty5uFwuz7KsrCzy8vI8n+vq6ti2bVurNmjZvrKyktdff528vDysViu5ubkUFBTQ1NTE1q1bycnJYcuWLdTV1R33+A6Hg7lz5+JwOPjqq6/44IMPsNvtP+ocVq5cye7duz2fm5ub2bJli6feo5mmyfz586mvr2+1LCMjg5qaGs+yyspKCgsLT6gGp9PJ3Llzj6n9eMfyhhUrVlBcXOz53NL+R7dBaWkpBw4c+MH97dq1q1VbHM1utzN37txW947b7SYnJ4eGhgbPb9riyy+/pLy8/MecEqZpsmDBgu+8dr7PqlWr2Llz54/+XovCwkJWr179k79/qrRcP5WVlcfcp4sXL2b//v2ez0ffp0drbGzk008//dHPo+9TUFDA2rVrT9n+RETk5Cjntqac+99lyrn/pZyrnHsilHOPTwMvRURERERERERERETaIdM0cTgcNDQ08Omnn1JbW0taWhoXXnghFouF5uZm3G432dnZ5ObmYrVacbvd1NTUsHDhQhwOh6fzraysDJvNhmmaWK1Wdu3axapVqzyfXS4XVVVVZGRkMGbMGM/xv++P1WrF6XRimiZpaWlkZmZ61rV8f//+/SxduhS73e7pmGr57rZt28jKymp1vkfus+VPS2d3y2ebzca8efOw2WzY7XZM02Tjxo1s27bN0wbNzc3s3bvXs9+ioiLefPNN3G43ixYtIigoiG7duvHiiy+ydOlSsrOzqaurY8uWLWzevJnHH3+cDRs2YJqmp51bfo+WAQINDQ1Mnz6diy66CD8/vx9sL5vNhsPhwDRNvv32W4qKirBarZimid1up7S0FDjUUdxyHi0d6TabjfT0dBoaGnC5XFitVgA+++wzqqurPftpbGxk//79xxy7pQ1b9tlyjHnz5mG323G73djtdk/bp6enU1dX57lmjmz/I3//IzsbW7Zr+c6R+ztym5b2/OabbyguLj6mDY4+TlVVFVVVVT/YvhUVFdTV1R13ncPhoKmpiXnz5uF0OnE4HNhsNgBKSko8v+mR19RXX31FWVmZp77vugdcLler3ykjI8PTId3SJk6n07PfI++PlvVWq5XVq1eza9cuz/V7vE7Yo6+jlvNwu93s3LmTNWvWeD4fr1673e6p47vu8ZZtvmsfJ9IG6enpVFZWHnOfLl26lAMHDnja9Oj79Og66urqmD9//jG1u91uHA6Hpx2Od319V60FBQU/aSCMiIicWsq5yrnKucq5Rz8TlHOVc73B39cFiIiIiIiIiIiIiIjI6VdQUMBbb72FYRg0NDTw7bffsnHjRlatWoXFYmHLli2MGzcOgIULF5KZmUn//v0ZP348O3bs4PHHH8fhcPDMM89QXl5O7969+eabb1i+fDnV1dUMGDCAVatWsWjRIgYOHIjFYiE7O5uvvvqKiooKHnjgARYtWkRUVBSZmZn84Q9/YMWKFQQFBeFwODwzpVx//fWkpaURFBTErl27CAoK4vrrr+edd94hKSmJnJwcHnnkEUJCQnjsscf45JNPWLduHfv27ePCCy8E8HQAZmRk0KlTJzp27MjPf/5zwsLCmD17NoGBgYwdO5asrCyGDBlCRUUFzz33HBUVFTzzzDMAZGRk8O2335KcnMzll19OQUEBF198MQBffPEFM2fOJCIigkWLFuHv78+AAQM4ePAg1157LXFxccTGxnLrrbdSXV3NihUrSElJ4ZNPPiEnJ4dx48bRp08fXnnlFQzDoKqqiqysLLKyspg/fz5+fn488MADLFiwgC5durBmzRr++Mc/smjRImJjY3G5XMybNw+LxcJvfvMbTNNk9uzZzJw5kyuvvJJx48axfft2UlNTeeutt6isrCQmJoYHHniAl19+Gbvdzq5du7DZbEyePJmmpibuuOMO7HY7//73v6mtreX222+nS5cuFBYWsnnzZm688UasVitLliwhJCSETZs20aFDB371q1/x8ssvA3DgwAGqqqp49NFHCQgIwOl08vTTT2O1WnnzzTeprq7mN7/5DUVFRfTs2ZP9+/fTs2dPiouL+frrr/n/7N15lFTlnf/x9629unpf2Vr2ARRZpAEBEQiyRCU66pCZqNH4y6CJCxm3EHWCiiiK6LhFIy4gGoMgCAQEEVF2wiqyyNrQLN10U91Nb1XdtdzfH9g3dMREjFK9fF7ncLqqrLr3e5cqP+c8z/k+2dnZ3HXXXTidTpYtW8bChQsJBAJkZ2dTXl5OdXU1TzzxBB6Ph2g0yvTp09m6dSs9evQgEonw7rvvMn36dK666ioGDBjA7t27KS0tpVu3brRq1Yo33niDdu3a0axZMxYsWEDLli3p0qULL7/8MoMHD2bnzp10796dPXv2UF1dTVJSEs899xw333wzBQUFbNmyhf79+/Pss89iGAYlJSWUlJTwxz/+Ea/Xy5gxYzh48CBdu3aluLiYSZMmcfz4cR555BGi0Shvv/02kUiEESNGUF5eTq9evcjKymL69On07NmTjz76iAsuuIArrriCSZMmUV1dXacTUzAYZPz48QCcPHmS22+/nTVr1jBmzBjee+89unbtyscff8yhQ4fYvXs33bt3589//jO7d+/msssuY+DAgda2TNNkzZo1zJ49m8TERG666SamT5+O3++nefPm9OzZk1WrVnHo0CFat27NkCFD2LFjh3V+OnfuzJtvvonD4eDee+8lIyODjz/+GK/XS69evXj55Zf58Y9/zDvvvMOJEyfo3r07HTp0wOPx0KdPH1544QVSUlK49NJLSUtL45133uHCCy/k448/plu3bowYMYJJkyZZ9ypAUVERTz75JH6/n9/+9rdEIhHeeOMNTp48yc9//nM6derEnj17OHjwID/60Y/w+XzMmjWLgQMHMnXqVAzDIBAIcPToUaZOnUpqaio33HADkyZNwm63U15ezsSJE0lNTcU0Td577z127tzJxRdfzK5du7jjjjtYv349wWCQ4uJi1qxZQ1FREX379v1hf7xFROSfUs5VzlXOVc6tpZyrnPtDUsdLEREREREREREREZEmpnZw5frrr+fWW2/FZrORk5PDhRdeyJVXXsmKFSu45JJLyMnJAaBr165MmDCBlStX4vf7SUpK4ne/+x2GYbB//3527drF8ePHWbhwIY888og1kL169Wo6duzIsGHD6NevH927d+faa69l79695Obm8pe//IXMzEw2b96MaZrk5eVx9OhR5s+fz6233kp6ejodOnSgX79+/PSnP2XEiBEsXLiQo0ePsnnzZpKTk8nIyGD8+PEUFhaye/duli9fzoQJE+jXr591vNXV1cyYMYMHH3yQX//617Ro0YL58+ezcuVK3G43/fv3Z9y4cezbt4/zzjsPl8vFr3/9a7p27cq6deswTZPu3bszYcIEli9fztGjR/niiy+s7V9yySX06dOH66+/nv79+3PttdcSDoc5ePAga9euZezYsRw9ehTTNFmyZAk5OTn4fD4+++wz6zzPnTuXyy+/nLFjx+J0OunevTvnn38+t9xyCzt37iQvL48PP/yQ9PR0tmzZgmma5ObmcuzYMV577TW6detGy5YtmTNnDgAXX3wx//u//8v8+fMJBAJs2bKFDRs20Lx5c37605/idrtZt24dbdu25aGHHiIxMZGysjK2b9/Ov//7v9OiRQsARo0axT333MNbb71FaWkpX375JUlJSSxZsoSlS5eSkpLCf/zHf5CZmUnPnj1ZuHAhQ4YM4d5778XtdhMMBsnNzeXBBx8kLi6OL7/8EsMwuOaaa7jrrrt466236NevH5MnT2b58uW0atWKOXPm8Oijj3LzzTdjs50aysrLy6N58+Y89NBD7Ny5k9/+9rd4vV5KSkqAU92o1q1bx5NPPsmoUaMwDIP+/fvz4IMPMm/ePILBIFu3bqVVq1bMnj2bjRs3EgqFyMvLo6CggAMHDlBYWEgoFGLz5s106tSJ1atX8+STT3LxxRezZ88eiouL2bp1K9XV1ZSUlLBnzx7ef/99rrrqKu666y4cDgd5eXn4/X6uu+46EhIS2LZtG4FAAKfTyZgxY+jbty8rV64EYNCgQYwfP5733nuPjIwMazJFNBpl7dq11ndnzZo1tGrVit///vckJSVZ9104HGbHjh385je/oWvXruzZs4eNGzdy5MgRq0PWoUOHePzxx+nYsSORSISVK1cyaNAgevToUec3IRwO88Ybb3Dvvffym9/8hk2bNtG+fXuuvvpqvF4vdrud1q1bM3HiRLZu3UqLFi2s89O3b19ef/11brnlFh588EHi4+MBaNGiBXPnzmXHjh2UlJSwfPlyBg0axIABA0hJSeHw4cMcO3aMaDTKpk2baNasGXPnzrWWMFy9ejWdO3dm6NChrFy5ss69CuByubjtttsYNmyYdd8PGzaMu+++m7lz51JZWckXX3xBVlaW9X13Op3MnDmT//f//h+33HILhmGwe/duIpEI11xzDTabjS+//JJ77rmHtm3bWt3EIpEIK1asYODAgQwYMIATJ06wfft25s2bR3JyMkuXLmXChAlWpzMREYkd5VzlXOVc5dzTKecq5/6QNPFSRERERERERERERKQJKi4uxufzkZGRgcfjwW63Y7fbcbvdPPDAA2zZsoUpU6ZgmiYtWrTA7XZjGAahUIjMzEwSExNxu93WUnO1y+55PB5atmyJYRjcdttthMNhHnjgASKRCHa7HZfLxWWXXcY777xDSkoKLVq0sJYYDIVCADgcDl588UVatmxJmzZtsNvtOJ1O0tLSrE4pl156KU6nk+bNmxMfH4/L5aKyspKamho8Ho81oApYSwD6fD6Sk5MZMGAAmzdv5tNPP2XkyJGkpKRQWlpKfHw8NpuNpKQk0tPT8fl8BAIBDMOwzgFATU2NtW3DMHA4HFaNdrsdh8NBWloaF154If/93/9Nt27d8Pv9BAIBFi5cyFVXXYXNZqtznv1+P/Hx8aSlpeHz+bDZbNjtdjweD4MHD2bGjBk0b96czMxMbDabdb6i0SgVFRV4vV46derEtddei2EYtG7dGp/PZ51TAK/Xy2effcaSJUv4yU9+QnFFoqfrAAAgAElEQVRxMXFxcSQmJpKcnEx6ejr33HMPf/jDH1iyZAlOp5NmzZrh8/moqqqylqO79NJL+eyzz9i0aRODBw9m+/btFBYWMmzYMIqLi4mPjyclJcUamMzIyCApKQmv10t1dTUul4usrCzi4uKoqqoiPj6empoaHA6Hdb28Xi/JycnWgDRA69atSUtLo2PHjtZkhFrBYBCn04nb7SYlJQWbzWadg9OXBezWrRv79+9n4cKFjBo1yvq8w+GwlvmLRqM4HA6SkpKs++L0aw1Yy/PVHm9aWhpxcXF07dqV//iP/2D8+PHs3LnT2n5CQgIZGRnWPWWz2WjRogUej4eamhq6devG7t27Wbx4MVdeeWWd705BQQFxcXHWeT3d6fdqJBKhV69eTJ8+nXbt2uFyubDZbHg8Hpo1a4bD4eChhx5izZo1vPDCC19bXjAYDBIfH09SUhKJiYksXbqUlStXcuWVVwKQnZ1NXFwcNpsNwzCs8+Pz+aioqCAxMZH4+Hjre9KhQweqqqqYPXs2o0aNsjrx5Obmcumll1rnsvac9+rVix07drB06VKuuOIKbr/9dgKBAA899BDHjx+vc68CxMfHk5ycTHx8POXl5djtds477zx8Pp/1uwTQt29f6/s+YsQISkpKiI+PJzMz0+oCdumllzJu3DiOHDlCSkqKdT1rlyO12+08+OCD/PWvf+W5555j6NChzJw5k1AoROvWrev87hiGgYiIxJZyrnKucq5ybi3lXOXcH5KWGhcRERERERERERERaYKGDh3KH/7wB1JSUggGg9hsNrxeL9FolKVLlxKJRDBNE6fTyZw5c8jLyyMxMZHMzEy8Xi+ANZANpwaH2rRpw5QpU9i1axcXXXQRK1asoLy8HMMwrO0DDBw4kMcee4wJEyYQFxdHdnY2zz77LKtXr+amm24iHA7jcDgoKioiLy+PLl26sGjRItq3b8/ll1/OuHHjePfdd6moqMDj8Vi1pKWlkZaWxjPPPMPGjRsZPny49d8uvPBCHn/8ceLj461uQH6/n6ysLJ588kkmTpzIzJkzOXDggFWny+XC6XTidDqZNWsW+/bts/ZxuvT0dEpKSvjoo4+sz7Rt2xa/389zzz1HXl4e5513Htu2baNDhw40a9bsa+d52LBhvP7667Ru3ZqTJ09iGAZerxfDMBgyZAiTJk3i2WefJSEhgczMTJ599lk++eQTxo4dy6hRo9i4cSMtWrSwJgo4HA5rG7VqB1Gj0Shbt26lf//+jB8/noKCAnJzcyktLWXFihU4nU7g1CDlSy+9RDQaZfDgwdbgcIsWLXC5XNbg5euvv05KSgqLFi1iyJAhvPLKK6xduxa/31/nurvdbux2O5FIhBdeeIGqqip+9KMf8e677zJmzBjWrVvHvn37yM7O5oknnsDn83H77bfj8Xis81q7ndrrUzv416pVK8LhME899RSJiYk4nc4zngOfz8cFF1zAli1brEFbp9NJ3759mTp1KuvWraOqqop169aRkpLCjTfeyMyZM61zmpOTw4svvsjRo0dp3749gwcP5tVXX6VVq1aUl5dz8OBBPv/8c2vfteLi4jAMA6fTiWmaOBwOXn/9dTIzM+nRowcZGRl06tSJXbt20aZNGxYvXmx9d/r378/DDz+M3+9n37591nU4/dhqj2P48OHccMMNPPPMM7Rr1w6/38///d//8cknn5CTk8NHH32EaZp1BqMBnE4nffr04fHHHyc5OZns7Gzg1GDx1q1bSU1Ntc671+tl/fr11vmZNWsWQ4cO5amnnqJ58+bceOONZGdn43K56NOnD2+99Ra///3v2bZtG6ZpUl1dzfbt2+nVqxfPPPMMe/bs4eTJkyQlJdG+fXsOHDhAdnY2ixYtorKyEoABAwYwYcIE61612WycOHGCZ599ll27dnHnnXcyf/58bDZbnXsOIDU11fq+t2zZkiFDhvD8888TFxdHOBxm165d7Nu3D7vdXuezp99zkUiEpUuXWucuJyeHyZMnc8MNN1gTZZ555hm2bt3KoEGDvuFXV0REzhXlXOVc5Vzl3FrKucq5PyTj72+4cyUnJ8esbVsqIiIi0pQZhrHJNM2cWNch3x9lXREREZFTlHWlsWisGT8cDnP06FGrw096ejp+v5+MjAyOHz9OVVUVzZs3JxwOEwgEqKysJCsrC6fTSWlpqTUIG41GGT9+PPfdd5/12YSEBJxOJ9FolNLSUqu7TUlJCenp6QQCAX7961/z3HPPkZSURGVlJYWFhfh8PkzT5J577mHcuHGsXbuWaDTKL3/5S44cOUJqaiper5fjx4/TvHlzQqEQFRUVpKamWktDBoNBioqKSEhIwO12W8u1VVdXk5+fb3VtKS8vJxwOk5ycTGFhIZmZmVRUVGAYBoFAgIyMDOt5NBolGAxSWVlJRkYGGzZsYMWKFfz+97/HMAxM06SoqAjTNPF4PDgcDuLi4igrK8Pv95Oenk5CQoI1wJiQkIBpmnXOs8vl4tixY9ZAZkZGBidOnLDquuOOO3jppZesrid+v5+4uDh8Ph8ej4cjR44QjUZp1qwZ1dXVuN1uXC4XJ06c4NixY8yYMYMWLVrQsmVLunTpwpQpU3j11VcpLS0lEongcDhITU0lPz8fwzBo2bIlxcXFRKNRqqurycrKYvHixRw8eJC77rqL0tJSqxtMfn6+1QUqKyuLY8eOWYN7aWlp1v1SWlqKx+OhvLzcGphs0aIFxcXFpKamUl1dTTgcxuVyUVBQQFJSEikpKRiGYZ27uLg4Tp48SXJyMmVlZfh8PquLT+19lJGRQTgcxuv14nQ6OXHiBIcPH+bPf/4zkydPpqqqiqqqKtLT0ykrK8PhcOD1esnPz8dut2MYBi6XC5fLhdvtpqSkBLvdbg0q5+fnExcXh9PpJDExkaNHj+J0Oq0uUvn5+bjdbjweD/fddx+TJk0iGo2SkZFhdVQKhUKEw2Hr+rvdbioqKggGg6SlpVFSUmJ9dxITEykoKCAcDuN0OklPT8fhcBCNRjlx4kSdezUuLo6CggIyMzOx2+2UlJRQVlZmdRI6efIkgUDA6kJ0upqaGvLz8/F6vUydOpXOnTvTpk0bnn/+eZ5//nlM0yQpKYmioiKrS1Xt+UlJSSE/Px+Hw0FWVpY1aL5o0SL27t3LnXfeyd133211wZo1axbPPfccx48fxzAMDMMgMzOTyspKqqur65yD2u9PQUGBda+mpaXh9/uJRqMYhkFWVhYlJSUkJCRgGAbFxcXs3LnT+p7Wft9TUlKIRCIcOXIEj8eDzWYjPj7e6raUkZFh/Q7W3hu1v0unf189Hg+FhYUkJibi8Xisey8hIQGXy1VnqcymICcnh40bN6oFkkgDpJyrnKucq5yrnKucq5z7zf5ZztXESxEREZEY02B046OsKyIiInKKsq40Fsr4/9iGDRvYsWMH119/vdU145/x+/2sXbuWK6644mvLlUWjUZYtW8b27dtJS0vj6quvtgaV64OqqireeustBg8eTOfOnc/JPgsLC9m0aRMjR4486+XdQqEQb7/9Nt26dSMjI4N58+YBMGTIEC644IJvvb2TJ08yY8YMRo0aRevWrc/6GGKppqaGGTNm0KtXL3r06HHO9vvpp59y/PhxrrvuOqtjVkNx4MAB/vKXv2Cz2bjsssvo1KnTd1pacPny5bRv357s7Gy2b9/OsmXLcLvdXHHFFWRnZ/9gyxXG4nvalGnipUjDpZz7jynn/vCUc/81yrlnTzlXzoYmXoqIiIjUcxqMbnyUdUVEREROUdaVxkIZX0RE5Jtp4qVIw6WcKyIi8s3+Wc61nctiREREREREREREREREREREREREREQaMk28FBERERERERERERERERERERERERH5ljTxUkREREREREREREREvqaoqIi9e/eyadMmtm3bdsb3hMNhZs6cSXV19Vlvf//+/axYsaLOa3l5eSxbtuyM79+yZQtbt2496/3UqqysZPbs2USj0W98z+eff87mzZu/8z6qqqqYNWvWGfdRWFjIwoULMU3zGz+/c+dO1q1b90/3Y5omc+bM4eTJk9/4nlAoxMyZMwmFQtZrubm55OfnW89PnjzJ3Llz/2FNf7/fBQsWcOLEiW/1/lrf9ri+jYMHD7J8+fJ/+r7t27ezYcMGysrKeOGFFzjTMqqffPIJhw4d+pdr+vvtHDlyhKVLl1rPo9EoW7Zs+Vbfk5qaGmbOnEk4HLZeO3DgAAUFBf9ynYsXL65z/UVERJoq5dyzp5x7Zsq5yrnStGnipYiIiIiIiIiIiIhIE2SaJtFolEAgYD02TdN6XFVVRXFxMZ9//jm7du0iEAhY74lEIta/efPmEQgEqK6utj4fCASoqakhGo1+bbu1/z03N5e1a9cSjUaJRCJEo1GOHj3KqlWrCAaDRCIRq85AIMAXX3zBjh07ME2Tqqoq6zO1f8+0n9rjqz2eBQsWUFNTQ01NTZ1B2Np97Nixg23btn1tW6fv5/T9n76PSCRCIBBgwYIFVFdXW/swTZNgMMjx48f5+OOPrdfOtO29e/eyefPmOuf6748pHA4TDAZZtGgR5eXl33gOQqEQH3zwAcFg0Lo2paWlVFRUYJom1dXVFBcXs2jRIgCCweAZz8vf1/HRRx/h9/ut++Z04XD4a/dTNBplz549dY4LIBKJ1DmPtc/PdC+e/vjw4cOsWbOmzj0SDoetz9Zey127dvH555+zatUqampq6Ny5s1Vn7TVbvXo1hw8f/sbrXXt8f388f//+2u3UHnt+fj4rVqwgGAxaA8sFBQWEw+E62zl9+zU1NVRXVxMKhZg3b97XrltlZaV17v6+jr/f1un3fe25DgQCLF++nOPHj9fZzredjCAiItKQKOcq5yrnKucq58q54Ih1ASIiIiIiIiIiIiIicu69//77rF69moqKCoYNG4bL5aJVq1Z06dKFl19+mZEjR7J7924AFixYwKeffkpOTg7Dhw/njTfeIDc3lzvvvJPS0lKeeuop8vPzGT9+PPn5+fzlL3/h2LFjjBw5kry8PO644w62bt2K3+8nGAyycuVK/H4/Xbt2ZfHixaxYsYLq6mquvvpq1q9fz8MPP4zH4+G3v/0tb7/9Njt27ODQoUNce+21LFiwgI0bN9K3b1+Sk5NZtGgRRUVFDBs2jKysLPr27csLL7xAr169mD17NqZp0qlTJ/7zP/+TvLw8Hn/8cUpKSvjf//1fMjMziUajvPnmm3zxxRccPnyY4cOHM2XKFKvm/Px8jh49yu7du+nduzeZmZmsWbOGXr160aJFC6ZPnw5Au3bt+PnPf87hw4d54oknKC4u5qGHHmLnzp3WwLDb7ebVV1/lyiuvxGazMW/ePFJTU9m4cSNer5cePXqwbNkydu3aRYcOHejbty9FRUVcfvnlPP/881x77bW89NJLhEIh9u7dS3l5OU8//TT79u1j6NChHDlyhLFjx7J06VIcDgd+v59JkyZRUFDAo48+SnFxMaWlpZSUlDBjxgwikQg1NTXs37+fN998k2bNmjFmzBjcbjdwasDyhRde4IYbbqC4uJjVq1cTCoV49dVXqaqq4tprr2Xo0KEYhkFBQQH/93//RyAQ4Oqrr2bjxo3813/9F/PnzyczM7POcY0ZM4aXXnqJwsJCysvLGTduHG+88QYlJSVce+21bNmyhauuuorFixfTrFkz3G43w4cP5/nnn6dTp06sWbOGsrIyfD4fv/nNb3jllVeorq7m+uuvZ8WKFWzdupWjR48yZMgQ5s2bx/Hjx/nJT35Cx44dCYVCTJkyhePHj7N9+3a6d+/O888/z5133sm8efNITk5m/fr17N+/n//6r/9i6NChnDhxgjfffJPrr7+euXPn4nA4GDFiBD6fj5kzZxKJRHjnnXeYOXMmAwcOpE2bNmzYsIEHHniAhIQEHnzwQfbs2UPbtm2ZP38+119/PR988AFjxozB4XDw5Zdf8tprr2EYBrfddhtFRUU88cQTFBQU8Nhjj3HixAn27dvH4sWL+dWvfsW7775LWloau3fv5ic/+QnLli3jF7/4BXa7nQ8//JAlS5YQDAbp168f//mf/8lTTz1FaWkpW7duZciQIaxevdraTs+ePTn//PNj9jskIiLyQ1DOVc5VzlXOVc6Vc0EdL0VEREREREREREREmqDc3FwuvPBCHnnkERYtWkTr1q2ZNWsWX3zxBVVVVVRVVbF3714AevTowcSJE1m+fDkZGRnccMMNJCQk0LZtW5xOJ//93//NsGHD+OSTT1iwYAE33HADbdu2pW3btgQCAbZs2cL8+fNJT09n8eLFPProowwbNgyA4cOHc/7559O9e3ecTifZ2dmMHz+eyspKVq9ezaZNm3jiiSfo3bs3pmmyevVqLrroIgYMGEC/fv245JJL6NixI926dWP27Nl8+eWXFBUVcfLkSZKSkpg0aRJ//etfqaysJD4+nv/5n/8hJyeHDz/8EIDS0lLWr1/P448/Tt++fXG5XHVqbt++Pbfccgtut5vevXuzZs0aLrzwQgYNGkRRURE+n49JkyaxZcsWysvL8fl8jB07ln79+jF//nxmz57NuHHjuO666zAMg6ysLBYuXMgnn3xCUlIS11xzDa1atSInJwebzUanTp2YOHEif/3rX0lPT2fevHkcPHiQvXv3sm3bNtq2bcvDDz9MamoqCQkJ/PKXv8TpdNK/f3+OHDnC7t27+ctf/kJ2djZut5tf/epX9O/fn5UrV3Ls2DGOHj3KzJkzGTt2LDfddBOGYbBjxw5cLhdXX301TqfTukcMwyAhIYFly5axePFiMjMzMQyDK6+8kgceeIA//elPVjee999/n379+jFp0iR69eqFYRjccccd9OjRA6fTWee49uzZQ2FhIXfeeScAGzdupFmzZkyePJkePXrQu3dv7rzzTmpqaujTpw8ffPABubm5HDhwAJ/PR+vWrXnkkUcoLS1l06ZN7Ny5k1GjRhEfH8/q1auZOHEi/fv3x+l0cumllzJq1Cjat28PnFrOsKSkhCeeeIIOHTqQlJTEnj17yM3NZfHixZx//vnWOe3atSsAaWlpOJ1Ofv3rX9O9e3dat27NvHnzWLFiBXFxcdhsNgYNGsSjjz7K/PnzCQQCtGrVigkTJnDkyBEKCwvZvn07Pp/P2k63bt1wOE71R3nzzTe54YYbePjhh0lOTsbtdnP77bfTp08f1qxZw5EjR6ipqWHLli0cPnyYZcuWkZOTw4kTJ7j33nvp27cvNtupIb8jR47Qrl07Jk6cyMcff8zWrVsxTZOJEyeSnZ1NWlpane00b978h/6pEREROeeUc5VzlXOVc5Vz5VzQxEsRERERERERERERkSbIMAyys7Pxer2Ew2E6duxIYWEhc+bMYdSoURiGYb239n2RSIRwOMzUqVP5+c9/js/nw+fzkZGRgc/ns7rdTJ06lbi4OM4//3wuu+wyZs2aRXl5OR07drTek5WVhWEYHDlyhLVr1zJ69GgMwyA9PR2Px4PT6aS0tJRwOIzL5SIrKwubzcb999/P4cOHmTBhAn6/nzlz5nDLLbfQrl07AoEAM2fOtOpv1aoVXq8XwzCIRCIkJiYSHx+P1+ulsrISgOrqamsfzZo1wzCMOjV36dKFDz/8kLZt29KlSxfuvvtu/H4/48ePJxKJ1NlHNBolMTGRhIQE4uLiKCsro7y8HI/HY9Xfv39/1q1bx9q1axk6dCi7du3i0KFDjBw58ms1p6amEh8fz4wZMxg+fDjl5eW43W58Ph9JSUmYpsm7777L4MGDadWqFUOGDOGdd94hLi6OVq1aER8fT1paGnFxcQSDQeBUd5+TJ0/i9XrJyMiwutr07t2b+++/n8LCwjr3yODBg1m6dCk7d+5kwIAB2O12MjMz8Xg8BINBawm/srIyEhMT8Xg8+Hw+0tPTKSgoIDExEaDOcdlsNg4cOMCrr77K6NGjqaysJCEhAZfLRXx8PCkpKfj9fhISEqxOQG+//TYjR47EbreTkZGBy+XC4XAQHx/Pfffdx9SpU5k3bx6hUKjO/WWz2bDb7daAbWVlJTabDbfbTUZGBna7nQEDBvDWW2+RmZlJRkYGM2bM4Mc//jGZmZnWecjIyLCOp0+fPmzZsoXPPvuMESNGWBMN3G43oVCISCRC8+bNiYuLw+FwWMsw/v12alVUVFj3jNvtJjExkdTU1DrXzel00rt3b6ZNm0aHDh1ITU0lLS2NwsJCEhISzvh9jUajlJWV4XA48Hg81sD66dtJTk7+fn9YRERE6gHlXOVc5VzlXOVcORc08VJEREREREREREREpAlyu904nU4MwyAuLg6Px0Pfvn3Zu3cvnTt3rvM+l8sFgM/nY+fOnXzxxResW7eOvLw8fD4fcGrAzOVyEQ6HiUajnDhxgt27d9O9e3f2799Pz549SUlJoV27dkyePJm3334bl8vFO++8g8PhYM6cOZimydq1a5k8eTKHDx9m8ODBeDwepkyZwvz583E4HCxZsoTKykocDgfz588nFArxwQcfUFNTw+DBg9myZYvVVcjtdlvHZ7fbOXLkCFOmTGHu3LkMGTIEgIyMDBISEqzXXS5XnZpDoRB/+tOfqKioYMWKFXz00UeUl5djt9utfQBWR5hjx44xZcoUZs2axciRI+nTpw+TJ0/mj3/8Iw6Hg4yMDGtgMD09nWnTpuF0Opk/fz52u/1rNY8cOZLly5fTr18/+vfvz8cff8wzzzzDgQMHKC4uZuHChRw+fJgtW7bQv39/1q9fz8CBA7Hb7fh8PgzDwOVyWdewtmvNlClTePHFFwHYunUre/fuxeFwWAO3tc477zwAmjVrRmJiIjabjVdeeYXHH3+cSy+91OpmM2LECN58800mTZrE/Pnz+fzzz3n++eeZNm0ahmHUOa5IJEI0GgVg06ZN9O7dmw8//JCnnnqKDz/8kGnTpvHyyy+zfv16ioqKGDFiBCtWrODiiy/G4XCwatUqJk+eTEFBARkZGSxbtgzDMMjMzCQlJYWnn36a999/3zru2mMH6NixI8eOHeOZZ55h9erVOBwOhgwZwqeffsqQIUM4fvw4S5cuZf/+/Wzfvh2A/Px8Nm7cyEsvvcT06dNJSEggOzubcDhM8+bNcblcTJ8+nYkTJ3LBBReQlJSEx+Opc1+caTu1A9UjR47k6aef5vHHHycvL4+4uLivXTeAYcOGsWTJEoYOHcq+ffusJRqnTZtmnU+Xy2V1c4qLi6Nbt27s2rWLZ555hk2bNmG32+ts5/SBbBERkcZCOVc5VzlXOVc5V84Fo3aG9rmWk5Njbty4MSb7FhEREalPDMPYZJpmTqzrkO+Psq6IiIjIKcq60lg01oxfVlZmDagWFxeTlpZGdXU1FRUVJCUlMXfuXPx+PzfeeCOGYeD1eikuLsbn81FUVARAeno6VVVVpKamEgwGCQQC3H333YwdO5a9e/dy8OBB7r//fvx+Pz6fD6/XS1VVFSdOnMDn81ldUioqKnA6naSkpFBZWUkwGLQ66lRUVFBSUoLP57O6z1RWVpKenk5NTQ0nT57EbrfTvHlzwuEwZWVlpKenEwgEiEQixMfH4/f7SUpKsjoLOZ1O0tLSMAwD0zSprKy0jq22005tzW63m/z8fMLhMAkJCQCUl5eTnp6OzWYjFAqRkJBQZx+RSASHw0FaWho1NTUcP34cn8+HzWYjOTmZ8vJyTNMkMTGRoqIiAoGA1QHm9JpTU1OJRCIUFxdbXWmKioqsY0hISKCoqIhoNEpKSor1PDk5GYfDYV3XqqoqAoEAr732Gr179+bSSy+loKDA6szj9Xqta5KamlpnkLK2c5Ddbic+Pp6SkhKi0SjBYJBmzZpZA9KmaVJUVEQoFCIpKYlwOExSUhJ+vx+Px4NpmtZx/fWvf2XTpk1cd911PPXUUzz22GN4PB4CgQAZGRnWNSwrK8PtdmO3261zUHuPBoNBkpKSiIuLo6CgADg1aB4IBOpcy9prHB8fb9VZWlpKZWUlHo/H6kBUWFhIamoqAAUFBUSjUWuZy2AwaO2v9rpUVVVZx1hWVkY4HKaqqoqsrCxM0yQQCJCUlERxcTGhUIjf/e53PPHEE3g8njrbsdlsRCIRCgsLsdlspKenU1JSUue6vfLKKwwcOJCBAwdSWFhIeno61dXV1r1SXFxsbat2soTH47Guf3FxMYFAAI/HQ2JiIg6Hw9pO7fUT+Vfk5OSwceNGzW4QaYCUc5VzlXOVc5VzRb7ZP8u5mngpIiIiEmMajG58lHVFRERETlHWlcaiKWb80tJS3n33XUaNGkWrVq2+9edqO/ls3LiRxMRErrrqKlJSUn7ASuXbysvLY9GiRfzsZz+rs/xfLJw8eZI5c+ZQUVHBRRddRL9+/b7WgagxWb58OaWlpVx11VVnfZwHDx5kyZIlXH/99dagukh9o4mXIg2Xcq5ybmOgnBs7yrnS2GnipYiIiEg9p8HoxkdZV0REROQUZV1pLJTxRUREvpkmXoo0XMq5IiIi3+yf5dzGO61aREREREREREREREREREREREREROR7pomXIiIiIiIiIiIiIiIiIiIiIiIiIiLfkiZeioiIiIiIiIiIiIiIiIiIiIiIiIh8S5p4KSIiIiIiIiIiIiIiIiIiIiIiIiLyLWnipYiIiIiIiIiIiIiIiIiIiIiIiIjIt+SIdQEiIiIiIiIiIiIiInJuhcNh9u/fTyQSiXUpIiJNhmEYtGnTBq/XG+tSREQaLeVcEZFzr6nmXE28FBERERERERERERFpYvx+P08//TQDBgyIdSnyPTl06BB+v5+LLroo1qXI92TTpk1kZGRw3nnnxboU+Z5s2bKFm2++mZ49e8a6FBGRRks5t/FRzm18lHMbn6aaczXxUkRERERERERERESkiTFNk86dO3PzzTfHuhT5nmzYsIHc3FxGjx4d6xjySmAAACAASURBVFLke+L1eunQoQO9evWKdSnyPfF6vUSj0ViXISLSqCnnNj7KuY2Pcm7j01RzriZeioiIiIiIiIiIiIg0cf/+5/sprjlAi0Sn9ZrL5cJms8WwqtgYvWoEWdEEWrXOjnUpZyW1vJq4YCqFf9xmvWaaUSKRCA6H87THDsCIXaHn2PiTyzlYnUhiZudYl3LWioq8eI/4id+4ts7r0WiUUKgGMHC5XFRXVxOJhPH54gE4GKgmJc3L4hv7xqBqERGR+kU592+Ucxufhpp1v2vOBWVdqV+a3v9JRERERERERERERESkjuLKGsqDNRwvPM6ePXsoLi6mpqYGONU1qLq6mvz8/DqfMU2T0tJSSktLY1HyD8ZR48WINI6+FYFAgCNHjgBQXV1NXl5ejCs69yLOcqK26liX8b2pqalh3759HD9eSGFhIX6/n6qqKkpLT2KaJgCVkSj+mnCMKxUREakflHP/Rjm38WlMWffb5FxQ1pX6pXH8ooqIiIiIiIiIiIiIyHfWLPxTmgGThjfjySef5OX7XubgwYO88cYbRCIR0tPTmT17Nr+8+5ckJyezYsUKEhMT2b17N6Wlpdx272307ds4Oo7MXTadChN63joi1qWclUMbNpCbe4zRoy+zXtu2bRt/emM5E372Iwpyc3nrlaW8NOYlDKPpdAK6Zs4YAEZesy7GlZy9mTNn0qFDS2sJRtM0efzxx7lxQBeuvvpqTNMkGo3y0Ucf8ac/zSWzPJMLLriAmiGDmlqzJxERkW+knPs3yrmNT0PNut81595yyy1c+/n+GFcv8jeaeCkiIiIiIiIiIiIiIl9z4sQJdu7cydSpUzl48CD79+/n8ssv5/XXX8dut3Pbbbfx5z//GYCePXvGuFr5JsuXL+fWW2+loqKC9PT0WJcj/6Lc3FxuvPFGPvnkE5YuXUrr1q1p3bo1KSkpPPDAA/zmN78h0v0S7A57rEsVERGpt5RzGwfl3Mbl2+Tc0aNHx7pMkTq01LiIiIiIiIiIiIiIiJzR+eefT0pKCh6PB5fLhdfrxTAMevbsSXx8PG63G6/Xi8vlinWp8g0uu+wypk2bxpNPPonX6411OfIvatasGV988QWDBw/m5ptvZseOHQD827/9GykpKdhstjpLMYqIiMiZKec2fMq5jcu3ybnhsJYYl/pFHS9FRERERERERERERAQAwzBwOp3WY4fDgWEYpKSk4Pf7WblyJXa7Hbv9VDe91q1bM2vWLHr16kXnzp1jWbqcgc1mw+VyWf8cDg0LNWSGYXDTTTfxu9/9jkOHDlFcXExCQgI2m836TtZ+f0VERKQu5dzGRTm3cfm2ObepLSUv9Z9+eUREREREREREREREBIAWLVpw//33A6e6ALVs2RI41X3k0UcfBaBLly5W55/+/fuTkZFBWlpabAqWf6h9+/bceeedALRq1Yr77rsvxhXJv6pDhw5MnTqVw4cPY7PZaNOmDdFolJycHOx2O+PHj2esvzrWZYqIiNQ7yrmNi3Ju4/Ntcm5CQgJwItalilg08VJEREREREREREREpImKRqN1njscDlq2bIlpmng8Hjwej/We884772uftdlsdOrU6Yzbauga2vHULi99et1ut5tmzZoRjUZxOp20aNEC0zSb5FLUDe16Ata1+vvak5KSSEpKqvNafHw8pmmSnZ2N4d8PZsM85sauKX73RERiRTn3mzW041HO/eca4jX9Ljn31IdP/Wlox9zYNdXvniZeioiIiIiIiIiIiIg0QatXr6asrAyAgzWnlk985JHFsSypXugcbAHAI488EuNKzs6xY8coLS1lx44dsS6lXunZKQg0vOsJsGPHDlJTU2nevPlZfe5gj0sAeGTe2z9EWfIv+PLLL61uayIi8sNRzj0z5dzGp6Fm3e+ac0FZt75qqjlXEy9FRERERERERERERJqgvn37ctdddwGwc9pmAMbdfHUsS6oXPvz9TADGjRsX40rOzubNmzl48CDXXHNNrEupVz798NQki4Z2PQFmz55N+/bt6dmz51l9buuOPADGjWx4x9zYvf/++7EuQUSkSVDOPTPl3ManoWbd75pzQVm3vmqqOVcTL0VEREREREREREREmiCHw4HX6wWg097VJFan8cFdh772PtM0MQzjXJcXM817r8BMyuOT5dNjXcpZiUQi+OKjfLL8tViXUq88U5RFla2M92YOjHUpZy0UqsG2y459j/2sPpdQU8V5URfenK0/UGXyXTmdzliXICLSJCjnnplybuPTULPud825oKxbXzXVnGuLdQEiIiIiIiIiIiIiIhJb1e4wNU6TaCRCMBikOhgkVFODaZoEgwHAjHWJ54zLZsNuNI7hk5qaEGb01LUzoyahmlCMKzr3KkI+qqPuWJfxvYlEwoTD4a8eRwiHv35N7UTxRKvPdWkiIiL1knLu3yjnNj6NKet+m5wLyrpSv6jjpYiIiIiIiIiIiIhIE3di0F7yQzvZ8acIv/vd72jdujV5eXk0b96cO+64g7t+cRfRaJR+/fpht599V5KG5PD/nDq+7Gd/GuNKzs6GDRvIzc3l6qtGA6c6OE2dOhWn08nNN9/MjBkzsNvt/OyqnzWpzk5PPTI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-     },
-     "metadata": {},
-     "execution_count": 28
-    }
-   ],
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
    "source": [
     "\n",
-    "# Set up plots to be large enough for visualization\n",
+    "# Set up plotting options\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "PLOT_HEIGHT = 12\n",
+    "\n",
     "row_count = max(max_tables, 1)\n",
     "plt.rcParams[\"figure.figsize\"] = [PLOT_HEIGHT * len(FLAVORS), PLOT_HEIGHT * row_count]\n",
     "fig, axes = plt.subplots(row_count, len(FLAVORS))\n",
-    "fig.suptitle('Side-by-side flavor comparison', fontsize=14, fontweight='bold')\n",
+    "plt.subplots_adjust(wspace=0, hspace=0) # Reduce margins to maximize the display zone\n",
+    "\n",
+    "fig.suptitle('Side-by-side flavor comparison', fontsize=24, fontweight='bold')\n",
     "for idx, flavor in enumerate(FLAVORS):\n",
     "    parse = parses[flavor]\n",
     "    tables = parse[\"tables\"]\n",
@@ -229,12 +168,10 @@
     "                rows=table.shape[0],\n",
     "                cols=table.shape[1],\n",
     "            ), \n",
-    "            size=12, ha=\"center\", \n",
+    "            size=14, ha=\"center\", \n",
     "            transform=ax.transAxes\n",
     "        )\n",
-    "        timer_after_plot = time.perf_counter()\n",
-    "\n",
-    "fig"
+    "        timer_after_plot = time.perf_counter()"
    ]
   }
  ],