{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d71bf82a",
   "metadata": {},
   "source": [
    "# Symmetry and Geometric Inductive Bias\n",
    "\n",
    "*The Mathematics of Large Language Models · Chapter 5*\n",
    "\n",
    "Specify what should stay fixed and what should transform.\n",
    "\n",
    "These pages illustrate the mathematics. Read the saved figures and calculations in order, or open [the interactive browser edition](reader.html) to change the examples. No code editing is needed.\n",
    "\n",
    "Identify the input space, transformation group, output type and desired transformation law. Return explicit matched inputs, expected scalar invariance or vector equivariance, and numerical discrepancy measures when outputs are available. Treat semantic invariance as a hypothesis to audit."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f8a1716",
   "metadata": {},
   "source": [
    "<details><summary>Reproducing these calculations</summary>\n",
    "\n",
    "The optional calculation cells use Python with NumPy, SciPy, and Matplotlib. All inputs are included in this file. The figures below are saved, so running these cells is optional.\n",
    "\n",
    "</details>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "71614305",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:33.690556Z",
     "iopub.status.busy": "2026-10-03T01:40:33.690464Z",
     "iopub.status.idle": "2026-10-03T01:40:33.765940Z",
     "shell.execute_reply": "2026-10-03T01:40:33.765854Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "import io\n",
    "import math\n",
    "import re\n",
    "import matplotlib\n",
    "matplotlib.use('Agg')\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import display, Image, Markdown\n",
    "from cycler import cycler\n",
    "plt.rcParams.update({'font.family': 'DejaVu Sans', 'font.size': 11, 'axes.titlesize': 13, 'axes.labelsize': 11, 'xtick.labelsize': 10, 'ytick.labelsize': 10, 'axes.spines.top': False, 'axes.spines.right': False, 'axes.edgecolor': '#7d8588', 'axes.labelcolor': '#172a3b', 'text.color': '#172a3b', 'xtick.color': '#52606b', 'ytick.color': '#52606b', 'figure.facecolor': 'white', 'axes.facecolor': 'white', 'savefig.facecolor': 'white', 'grid.alpha': 0.2, 'lines.linewidth': 2, 'svg.fonttype': 'path'})\n",
    "plt.rcParams['axes.prop_cycle'] = cycler(color=['#136f75', '#b77518', '#334c72', '#aa4e37', '#677341'])\n",
    "\n",
    "def clean_display_text(text):\n",
    "    \"\"\"Remove signed zero only after an explicitly formatted value rounds to zero.\"\"\"\n",
    "    return re.sub(r\"(?<![\\w.])-(?:0+(?:\\.0*)?|\\.0+)(?:[eE][+-]?\\d+)?(?![\\w.])\", \"0\", text)\n",
    "\n",
    "\n",
    "def display_value(value):\n",
    "    \"\"\"One display policy for readers, saved notebooks and skill references.\"\"\"\n",
    "    if hasattr(value, \"item\") and getattr(value, \"size\", 1) == 1:\n",
    "        value = value.item()\n",
    "    if isinstance(value, float):\n",
    "        if not math.isfinite(value):\n",
    "            raise ValueError(\"Return undefined or infinity as a labeled string, not a nonfinite JSON value\")\n",
    "        return \"0\" if value == 0 else f\"{value:.6g}\"\n",
    "    if isinstance(value, str):\n",
    "        return clean_display_text(value)\n",
    "    if isinstance(value, (list, tuple)):\n",
    "        opening, closing = (\"(\", \")\") if isinstance(value, tuple) else (\"[\", \"]\")\n",
    "        return opening + \", \".join(str(display_value(v)) for v in value) + closing\n",
    "    if isinstance(value, dict):\n",
    "        return \"{\" + \", \".join(str(k) + \": \" + str(display_value(v)) for k, v in value.items()) + \"}\"\n",
    "    return value\n",
    "\n",
    "\n",
    "\"\"\"Executable mathematics and reader-facing chapter teaching content.\"\"\"\n",
    "import math\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import ListedColormap\n",
    "from matplotlib.patches import Arc, Patch\n",
    "NAVY, TEAL, GOLD, TERRA, GREY = ('#17324d', '#147d86', '#d8a23c', '#bf6045', '#8a8a8a')\n",
    "BOOK_PROVENANCE = 'Book equation with companion toy inputs stated in the assumptions; every plotted value is recomputed. No random numbers are used.'\n",
    "\n",
    "def panels(ratios=(1, 1)):\n",
    "    fig, axes = plt.subplots(1, 2, figsize=(8, 4.2), layout='constrained', gridspec_kw={'width_ratios': list(ratios)})\n",
    "    for ax in axes:\n",
    "        ax.tick_params(labelsize=10)\n",
    "        ax.grid(alpha=0.15)\n",
    "    return (fig, axes)\n",
    "\n",
    "def _no_e(text):\n",
    "    \"\"\"No e-notation shown to readers: plain decimals, thousands separators for large values.\"\"\"\n",
    "    if 'e' not in text and 'E' not in text:\n",
    "        return text\n",
    "    from decimal import Decimal\n",
    "    if abs(float(text)) >= 1000:\n",
    "        return f'{float(text):,.0f}'\n",
    "    return format(Decimal(text), 'f')\n",
    "\n",
    "def sig(value, digits=3):\n",
    "    \"\"\"Three significant figures; values below rounding noise show as 0.\"\"\"\n",
    "    value = float(value)\n",
    "    if abs(value) < 1e-12:\n",
    "        return '0'\n",
    "    return _no_e(f'{value:.{digits}g}')\n",
    "\n",
    "def vec(values):\n",
    "    return '(' + ', '.join((sig(v) for v in values)) + ')'\n",
    "\n",
    "def cplx(z):\n",
    "    re, im = (float(np.real(z)), float(np.imag(z)))\n",
    "    if abs(im) < 1e-12:\n",
    "        return sig(re)\n",
    "    if abs(re) < 1e-12:\n",
    "        return f'{sig(im)}i'\n",
    "    return f\"{sig(re)} {('+' if im > 0 else '-')} {sig(abs(im))}i\"\n",
    "\n",
    "def rotation(angle):\n",
    "    a = math.radians(angle)\n",
    "    return np.round(np.array([[math.cos(a), -math.sin(a)], [math.sin(a), math.cos(a)]]), 12) + 0.0\n",
    "\n",
    "def rotation_values(angle=90, scale=1):\n",
    "    points = scale * np.array([[0.0, 0.0], [2.0, 0.0], [1.0, 1.0]])\n",
    "    rotated = points @ rotation(angle).T\n",
    "    return (points, rotated, points[1] - points[0], rotated[1] - rotated[0])\n",
    "\n",
    "def symmetry_picture(angle=45, scale=1):\n",
    "    p, q, v, w = rotation_values(angle, scale)\n",
    "    length = float(np.linalg.norm(v))\n",
    "    fig, ax = panels()\n",
    "    for pts, colour, style, fill in [(p, NAVY, 'dashed', 'white'), (q, TEAL, 'solid', TEAL)]:\n",
    "        closed = np.vstack([pts, pts[0]])\n",
    "        ax[0].plot(closed[:, 0], closed[:, 1], linestyle=style, color=colour, lw=1.8, marker='o', mfc=fill, ms=6)\n",
    "    ax[0].annotate('', xy=tuple(v), xytext=(0, 0), arrowprops=dict(arrowstyle='-|>', color=NAVY, lw=2, ls='dashed'))\n",
    "    ax[0].annotate('', xy=tuple(w), xytext=(0, 0), arrowprops=dict(arrowstyle='-|>', color=TERRA, lw=2.6))\n",
    "    if angle > 0:\n",
    "        ax[0].add_patch(Arc((0, 0), 1.2 * scale, 1.2 * scale, theta1=0, theta2=angle, color=GOLD, lw=2.4))\n",
    "        ax[0].text(0.04, 0.95, f'turn: {angle:g} degrees', transform=ax[0].transAxes, color=GOLD, fontsize=10, fontweight='bold', va='top')\n",
    "        ax[0].text(v[0], v[1] - 0.3 * scale, 'before', color=NAVY, fontsize=10, ha='center', va='top')\n",
    "        ax[0].text(1.14 * w[0], 1.14 * w[1], 'after', color=TERRA, fontsize=10, ha='center', va='center', bbox=dict(boxstyle='round,pad=.1', fc='white', ec='none', alpha=0.8))\n",
    "    else:\n",
    "        ax[0].text(v[0], v[1] - 0.3 * scale, 'before = after', color=TERRA, fontsize=10, ha='center', va='top')\n",
    "    ax[0].set(xlim=(-3.1 * scale, 3.1 * scale), ylim=(-3.1 * scale, 3.1 * scale), xlabel='coordinate 1', ylabel='coordinate 2', title='Triangle and its first edge')\n",
    "    ax[0].set_aspect('equal')\n",
    "    angles = np.arange(0, 361, 5)\n",
    "    vectors = np.array([rotation_values(a, scale)[3] for a in angles])\n",
    "    ax[1].plot(angles, np.full(len(angles), length), color=GOLD, lw=2.6, label='length')\n",
    "    ax[1].plot(angles, vectors[:, 0], color=TEAL, lw=2, linestyle='solid', label='arrow, part 1')\n",
    "    ax[1].plot(angles, vectors[:, 1], color=NAVY, lw=2, linestyle='dashed', label='arrow, part 2')\n",
    "    ax[1].plot([angle], [length], 'o', color=GOLD, ms=15, mfc='none', mew=2.4)\n",
    "    ax[1].plot([angle, angle], [w[0], w[1]], 'o', color=TERRA, ms=6, zorder=5)\n",
    "    ax[1].axvline(angle, color=GREY, linestyle='dotted')\n",
    "    ax[1].legend(loc='upper center', ncol=3, fontsize=8.5, columnspacing=0.8, handlelength=1.4)\n",
    "    ax[1].set(xlabel='turn applied (degrees)', ylabel='value', xticks=[0, 90, 180, 270, 360], ylim=(-2.4 * scale, 3.6 * scale), title='Length stays, arrow parts swing')\n",
    "    metrics = {'Edge length before': sig(length), 'Edge length after': sig(np.linalg.norm(w)), 'Edge arrow after the turn': vec(w), 'Gap from R times the old arrow': sig(np.linalg.norm(w - rotation(angle) @ v))}\n",
    "    if angle == 0:\n",
    "        summary = f'With no turn the edge length is {sig(length)} and the arrow is {vec(w)}, exactly as before. Pick a turn: the length will stay put (invariant) while the arrow turns with the input (equivariant).'\n",
    "    else:\n",
    "        summary = f'After a {angle:g} degree turn the edge length is still {sig(length)}, but the arrow now points along {vec(w)}. The length ignores the turn (invariant); the arrow has to turn with the input (equivariant).'\n",
    "    calc = f'Before the turn the edge is {vec(v)}, so its length is sqrt({sig(v @ v)}) = {sig(length)}. The rotation matrix R has cos {sig(math.cos(math.radians(angle)))} and sin {sig(math.sin(math.radians(angle)))}. R times the arrow gives {vec(w)}, whose squared length is {sig(w @ w)}: the same.'\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "\n",
    "def direction_measure(x):\n",
    "    x = np.asarray(x)\n",
    "    return x[0] ** 4 + 2 * x[1] ** 2\n",
    "\n",
    "def reynolds_values(angle=90, scale=1):\n",
    "    x = rotation(angle) @ np.array([scale, 0.0])\n",
    "    values = np.array([direction_measure(rotation(-a) @ x) for a in (0, 90, 180, 270)])\n",
    "    return (x, values, float(values.mean()))\n",
    "\n",
    "def averaging_picture(angle=0, scale=1):\n",
    "    x, values, average = reynolds_values(angle, scale)\n",
    "    angles = np.arange(0, 361, 3)\n",
    "    raw = np.array([reynolds_values(a, scale)[1][0] for a in angles])\n",
    "    mean = np.array([reynolds_values(a, scale)[2] for a in angles])\n",
    "    at45 = reynolds_values(45, scale)[2]\n",
    "    at0 = reynolds_values(0, scale)[2]\n",
    "    fig, ax = panels()\n",
    "    ax[0].plot(angles, raw, color=TERRA, lw=2, label='raw measurement')\n",
    "    ax[0].plot(angles, mean, color=TEAL, lw=2.6, linestyle='dashed', label='average of four turns')\n",
    "    ax[0].plot([0, 90, 180, 270, 360], [at0] * 5, 'o', color=TEAL, mfc='white', ms=6, mew=1.6)\n",
    "    ax[0].plot([angle], [average], 'o', color=GOLD, ms=11, mfc='none', mew=2.4)\n",
    "    low, high = (min(raw.min(), mean.min()), max(raw.max(), mean.max()))\n",
    "    span = high - low\n",
    "    ax[0].set_ylim(low - 0.55 * span, high + 0.35 * span)\n",
    "    ax[0].annotate('changes here, so not\\nfull rotation invariance', xy=(45, at45), xytext=(150, low - 0.42 * span), fontsize=9.5, color=NAVY, ha='center', arrowprops=dict(arrowstyle='->', color=NAVY, lw=1.4))\n",
    "    ax[0].plot([45], [at45], 's', color=NAVY, ms=7)\n",
    "    ax[0].legend(loc='upper center', ncol=2, fontsize=8.5, columnspacing=0.8, handlelength=1.4)\n",
    "    ax[0].set(xlabel='input angle (degrees)', ylabel='value of the measurement', xticks=[0, 90, 180, 270, 360], xlim=(-10, 370), title='Average repeats every 90')\n",
    "    colours = [NAVY, TEAL, GOLD, TERRA]\n",
    "    ax[1].bar(range(4), values, color=colours, width=0.62)\n",
    "    ax[1].axhline(average, color=NAVY, linestyle='dashed', lw=1.8, label=f'mean = {sig(average)}')\n",
    "    ax[1].legend(loc='upper center', fontsize=9, handlelength=1.6)\n",
    "    for i, val in enumerate(values):\n",
    "        ax[1].text(i, val * 0.93, sig(val), ha='center', va='top', fontsize=10, color='white', fontweight='bold')\n",
    "    ax[1].set(xticks=range(4), xticklabels=['0', '90', '180', '270'], xlabel='turn the input back by (degrees)', ylabel='measurement of the turned copy', ylim=(0, 1.45 * values.max()), title='Four copies, one mean')\n",
    "    metrics = {'Input point': vec(x), 'Raw measurement': sig(values[0]), 'Average of the four copies': sig(average), 'Average after a further 90 degree turn': sig(reynolds_values(angle + 90, scale)[2])}\n",
    "    summary = f\"The four turned copies measure {', '.join((sig(v) for v in values))}, and their mean is {sig(average)}. A further quarter turn only reorders the copies, so the mean repeats every 90 degrees. It is not constant: it is {sig(at0)} at 0 degrees and {sig(at45)} at 45 degrees, so it is not fully rotation invariant.\"\n",
    "    calc = f\"f(x) = x1^4 + 2 x2^2. Sum of the four values = {' + '.join((sig(v) for v in values))} = {sig(values.sum())}; divide by 4 to get {sig(average)}. Closed form: (x1^4 + x2^4)/2 + x1^2 + x2^2 = ({sig(x[0] ** 4)} + {sig(x[1] ** 4)})/2 + {sig(x @ x)} = {sig(average)}.\"\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "\n",
    "def circular_convolution(signal, kernel):\n",
    "    signal = np.asarray(signal, dtype=float)\n",
    "    kernel = np.asarray(kernel, dtype=float)\n",
    "    if signal.shape != kernel.shape:\n",
    "        raise ValueError('Use equal-length cyclic arrays.')\n",
    "    return np.array([sum((signal[j] * kernel[(i - j) % len(signal)] for j in range(len(signal)))) for i in range(len(signal))])\n",
    "\n",
    "def shift_values(shift=2, filter='smooth'):\n",
    "    signal = np.array([0.0, 1.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0])\n",
    "    kernel = np.zeros(8)\n",
    "    kernel[:3] = [0.25, 0.5, 0.25] if filter == 'smooth' else [1, -1, 0]\n",
    "    convolved = circular_convolution(signal, kernel)\n",
    "    a = np.roll(convolved, int(shift))\n",
    "    b = circular_convolution(np.roll(signal, int(shift)), kernel)\n",
    "    return (signal, kernel, a, b)\n",
    "\n",
    "def wrap_threshold(filter='smooth'):\n",
    "    \"\"\"Smallest slide for which the output pattern runs past position 7 and wraps to 0.\n",
    "\n",
    "    The bump occupies positions 1 to 3. The smoothing filter (3 weights) spreads the output over positions 1+s to 5+s,\n",
    "    the difference filter (2 weights) over 1+s to 4+s, so the output wraps once the last position reaches 8.\"\"\"\n",
    "    return 3 if filter == 'smooth' else 4\n",
    "\n",
    "def wraps(shift, filter='smooth'):\n",
    "    return int(shift) >= wrap_threshold(filter)\n",
    "\n",
    "def shifts_picture(shift=2, filter='smooth'):\n",
    "    signal, kernel, a, b = shift_values(shift, filter)\n",
    "    index = np.arange(8)\n",
    "    fig, ax = panels()\n",
    "    shifted = np.roll(signal, shift)\n",
    "    ax[0].bar(index - 0.2, signal, width=0.4, color='white', edgecolor=NAVY, linestyle='dashed', lw=1.6, label='original')\n",
    "    ax[0].bar(index + 0.2, shifted, width=0.4, color=GOLD, label=f'slid by {shift}')\n",
    "    ax[1].bar(index, b, width=0.6, color=TEAL, label='slide, then filter')\n",
    "    ax[1].plot(index, a, 'D', color=TERRA, mfc='white', ms=8, mew=1.8, linestyle='none', label='filter, then slide')\n",
    "    for axis in ax:\n",
    "        axis.axvline(7.5, color=GREY, linestyle='dotted')\n",
    "        axis.set_xticks(index)\n",
    "        axis.axhline(0, color=GREY, lw=0.8)\n",
    "    top0 = max(signal.max(), 1) * 1.45\n",
    "    ax[0].set(xlabel='position on the ring (0 to 7)', ylabel='input value', ylim=(min(0, signal.min()) - 0.1, top0), title='Input slides around the ring')\n",
    "    lo = min(0, a.min(), b.min())\n",
    "    hi = max(a.max(), b.max(), 1)\n",
    "    ax[1].set(xlabel='position on the ring (0 to 7)', ylabel='output value', ylim=(lo - 0.1 * (hi - lo), hi + 0.55 * (hi - lo)), title='Both orders land on the same values')\n",
    "    if wraps(shift, filter):\n",
    "        ax[0].text(7.45, top0 * 0.78, 'wraps to 0', color=GREY, fontsize=9, ha='right')\n",
    "    ax[0].legend(loc='upper left', fontsize=8.5, ncol=2, columnspacing=0.8, handlelength=1.4)\n",
    "    ax[1].legend(loc='upper left', fontsize=8.5, ncol=1, handlelength=1.4)\n",
    "    gap = float(np.max(abs(a - b)))\n",
    "    i = (shift + 2) % 8\n",
    "    terms = [shifted[j] * kernel[(i - j) % 8] for j in range(8)]\n",
    "    metrics = {'Largest gap between the two orders': sig(gap), 'Filter weights': np.array2string(kernel[:3]), f'Output at position {i}': sig(b[i])}\n",
    "    lead = f'Sliding by {shift} and filtering give the same eight numbers as filtering and then sliding (largest gap {sig(gap)}), '\n",
    "    if wraps(shift, filter):\n",
    "        summary = lead + 'and here the pattern runs past position 7 and wraps round to 0. The ring has no edge, so nothing falls off.'\n",
    "    else:\n",
    "        summary = lead + f'but here the pattern stays inside positions 0 to 7, so nothing wraps yet. Slide by {wrap_threshold(filter)} or more with this filter to watch it wrap; the agreement is exact either way.'\n",
    "    calc = f\"Output at position {i} adds input[j] times filter[({i} - j) mod 8] over j. Nonzero terms: {' + '.join((sig(v) for v in terms if abs(v) > 1e-12)) or 'none'} = {sig(b[i])}.\"\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "\n",
    "def multiset_values(order='original', copies=0):\n",
    "    x = np.array([1.0, 2.0, 4.0] + [4.0] * int(copies))\n",
    "    if order == 'reverse':\n",
    "        x = x[::-1]\n",
    "    if order == 'cycle':\n",
    "        x = np.roll(x, 1)\n",
    "    phi = np.column_stack([x, x * x])\n",
    "    aggregate = phi.sum(axis=0)\n",
    "    return (x, aggregate, float(aggregate[1]), float(np.dot(np.arange(1, len(x) + 1), x)))\n",
    "ORDERS = ['original', 'reverse', 'cycle']\n",
    "\n",
    "def sets_picture(order='original', copies=0):\n",
    "    x, aggregate, result, sensitive = multiset_values(order, copies)\n",
    "    fig, ax = panels()\n",
    "    ax[0].bar(np.arange(1, len(x) + 1), x, color=TEAL, width=0.65)\n",
    "    for i, val in enumerate(x):\n",
    "        ax[0].text(i + 1, val, sig(val), ha='center', va='bottom', fontsize=10)\n",
    "    ax[0].set(xlabel='position in the list', ylabel='measurement', ylim=(0, 5.2), xticks=range(1, len(x) + 1), title=f'The list: order \"{order}\"')\n",
    "    sym = [multiset_values(o, copies)[2] for o in ORDERS]\n",
    "    seq = [multiset_values(o, copies)[3] for o in ORDERS]\n",
    "    pos = np.arange(3)\n",
    "    b1 = ax[1].bar(pos - 0.2, sym, width=0.4, color=TEAL, label='sum of squares')\n",
    "    b2 = ax[1].bar(pos + 0.2, seq, width=0.4, color=TERRA, label='position-weighted sum')\n",
    "    k = ORDERS.index(order)\n",
    "    for bar in (b1[k], b2[k]):\n",
    "        bar.set_edgecolor(NAVY)\n",
    "        bar.set_linewidth(2.6)\n",
    "    top = max(max(sym), max(seq))\n",
    "    ax[1].set(xticks=pos, xticklabels=ORDERS, xlabel='order the list is shown in', ylabel='result', ylim=(0, 1.4 * top), title='Same for every order, or not')\n",
    "    ax[1].text(0, 1.18 * top, 'teal bars never move', color=TEAL, fontsize=9.5, ha='left')\n",
    "    ax[1].text(0, 1.06 * top, 'terracotta bars do', color=TERRA, fontsize=9.5, ha='left')\n",
    "    metrics = {'Sum of the values': sig(aggregate[0]), 'Sum of squares (order does not matter)': sig(result), 'Position-weighted sum (order matters)': sig(sensitive), 'Number of items': len(x)}\n",
    "    summary = f'The sum of squares is {sig(result)} for every listing, so order is invisible to it. The position-weighted sum is {sig(sensitive)} here and changes with the order. Each extra 4 adds 16 to the sum of squares, so repeats are still counted.'\n",
    "    calc = f\"Sum of squares = {' + '.join((sig(v) + '^2' for v in x))} = {sig(result)}. Position-weighted sum = {' + '.join((f'{i + 1} x {sig(v)}' for i, v in enumerate(x)))} = {sig(sensitive)}.\"\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "SIGNALS = {'ramp': [0.0, 1.0, 2.0, 3.0], 'bump': [1.0, 3.0, 1.0, 0.0], 'step': [2.0, 2.0, 0.0, 0.0], 'edge': [3.0, 1.0, 0.0, 0.0]}\n",
    "K_COLOURS = [GOLD, TEAL, TERRA, NAVY]\n",
    "\n",
    "def c4_fourier(f):\n",
    "    f = np.asarray(f, dtype=float)\n",
    "    return np.array([sum((f[n] * np.exp(-2j * np.pi * k * n / 4) for n in range(4))) / 4 for k in range(4)])\n",
    "\n",
    "def fourier_values(turn=90, signal='ramp'):\n",
    "    f = np.array(SIGNALS[signal])\n",
    "    s = int(turn) // 90\n",
    "    g = np.roll(f, s)\n",
    "    return (f, g, c4_fourier(f), c4_fourier(g), s)\n",
    "\n",
    "def phase_turn(a, b):\n",
    "    \"\"\"Phase change from complex a to complex b in degrees, or None when either is zero.\"\"\"\n",
    "    if abs(a) < 1e-12 or abs(b) < 1e-12:\n",
    "        return None\n",
    "    return float(np.degrees(np.angle(b / a)))\n",
    "\n",
    "def fourier_picture(turn=90, signal='ramp'):\n",
    "    f, g, fh, gh, s = fourier_values(turn, signal)\n",
    "    fig, ax = panels()\n",
    "    n = np.arange(4)\n",
    "    ax[0].bar(n - 0.2, f, width=0.4, color='white', edgecolor=NAVY, linestyle='dashed', lw=1.6, label='original')\n",
    "    ax[0].bar(n + 0.2, g, width=0.4, color=GOLD, label=f'turned by {turn}')\n",
    "    ax[0].set(xticks=n, xlabel='position on the cycle (n)', ylabel='value', ylim=(0, 4.4), title='Data moves round the cycle')\n",
    "    ax[0].legend(loc='upper left', ncol=2, fontsize=8.5, columnspacing=0.8, handlelength=1.4)\n",
    "    theta = np.linspace(0, 2 * np.pi, 200)\n",
    "    for k in range(4):\n",
    "        r = abs(fh[k])\n",
    "        ax[1].plot(r * np.cos(theta), r * np.sin(theta), color=K_COLOURS[k], lw=0.9, linestyle='dotted', alpha=0.8)\n",
    "        if r > 1e-12:\n",
    "            ax[1].annotate('', xy=(fh[k].real, fh[k].imag), xytext=(0, 0), arrowprops=dict(arrowstyle='-|>', color=K_COLOURS[k], lw=1.3, ls='dashed', alpha=0.7))\n",
    "            ax[1].annotate('', xy=(gh[k].real, gh[k].imag), xytext=(0, 0), arrowprops=dict(arrowstyle='-|>', color=K_COLOURS[k], lw=2.6))\n",
    "        tip = gh[k] if r > 1e-12 else 0\n",
    "        off = 0.17 * np.exp(1j * np.angle(tip)) if r > 1e-12 else -0.2j\n",
    "        if k == 2 and r > 1e-12 and (abs(np.imag(tip)) < 1e-09):\n",
    "            off = 0.15j\n",
    "        label = f'k={k}' if r > 1e-12 else f'k={k} is 0'\n",
    "        ax[1].text(np.real(tip + off), np.imag(tip + off), label, color=K_COLOURS[k], fontsize=9.5, ha='center', va='center', fontweight='bold', bbox=dict(boxstyle='round,pad=.1', fc='white', ec='none', alpha=0.8))\n",
    "    ax[1].axhline(0, color=GREY, lw=0.8)\n",
    "    ax[1].axvline(0, color=GREY, lw=0.8)\n",
    "    ax[1].set(xlim=(-1.1, 1.9), ylim=(-1.1, 1.1), xlabel='real part of the coefficient', ylabel='imaginary part', title='Dashed: before. Solid: after')\n",
    "    ax[1].set_aspect('equal')\n",
    "    ph1 = phase_turn(fh[1], gh[1])\n",
    "    ph1_text = 'undefined (coefficient is 0)' if ph1 is None else f'{round((ph1 + 180) % 360 - 180):+d} degrees'\n",
    "    if ph1 is not None and round(ph1) == -180:\n",
    "        ph1_text = '180 degrees'\n",
    "    energy_x = float(np.mean(g ** 2))\n",
    "    energy_k = float(np.sum(abs(gh) ** 2))\n",
    "    metrics = {'Energy in the positions': sig(energy_x), 'Energy in the frequencies': sig(energy_k), 'Largest change in any coefficient size': sig(np.max(abs(abs(gh) - abs(fh)))), 'Phase turn of frequency 1': ph1_text}\n",
    "    sizes = ', '.join((sig(abs(v)) for v in fh))\n",
    "    summary = f'Turning the input by {turn} degrees leaves the sizes of all four coefficients at {sizes}. Only the phases move: frequency k turns by {-90 * s} times k degrees, counted modulo a full turn, so some frequencies land back where they started.'\n",
    "    calc = f'f_hat(1) = (1/4) sum f(n) e^(-2 pi i n/4) = {cplx(fh[1])} before and {cplx(gh[1])} after. Predicted factor e^(-2 pi i s/4) with s = {s} is {cplx(np.exp(-2j * np.pi * s / 4))}; size {sig(abs(fh[1]))} both times. Frequency 2 factor: {cplx(np.exp(-2j * np.pi * 2 * s / 4))}.'\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "LIFT_IMAGE = np.array([[1.0, 2.0, 0.0, 0.0], [3.0, 1.0, 0.0, 1.0], [0.0, 0.0, 2.0, 1.0], [1.0, 0.0, 1.0, 3.0]])\n",
    "LIFT_FILTERS = {'edge': np.array([[1.0, 0.0, -1.0], [2.0, 0.0, -2.0], [1.0, 0.0, -1.0]]), 'corner': np.array([[2.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 0.0]])}\n",
    "\n",
    "def correlate_same(image, kernel):\n",
    "    padded = np.pad(image, 1)\n",
    "    out = np.empty(image.shape)\n",
    "    for i in range(image.shape[0]):\n",
    "        for j in range(image.shape[1]):\n",
    "            out[i, j] = np.sum(padded[i:i + 3, j:j + 3] * kernel)\n",
    "    return out\n",
    "\n",
    "def lifted(image, kernel):\n",
    "    \"\"\"One 4x4 response map per filter rotation g = 0, 90, 180, 270 degrees.\"\"\"\n",
    "    return np.array([correlate_same(image, np.rot90(kernel, g)) for g in range(4)])\n",
    "\n",
    "def lifting_values(turn=90, filter='edge'):\n",
    "    kernel = LIFT_FILTERS[filter]\n",
    "    s = int(turn) // 90\n",
    "    base = lifted(LIFT_IMAGE, kernel)\n",
    "    turned = lifted(np.rot90(LIFT_IMAGE, s), kernel)\n",
    "    predicted = np.array([np.rot90(base[(g - s) % 4], s) for g in range(4)])\n",
    "    return (base, turned, predicted, s)\n",
    "\n",
    "def lifting_picture(turn=90, filter='edge'):\n",
    "    base, turned, predicted, s = lifting_values(turn, filter)\n",
    "    fig, ax = panels((1, 1.1))\n",
    "    tot0 = base.sum(axis=(1, 2))\n",
    "    tot1 = turned.sum(axis=(1, 2))\n",
    "    x = np.arange(4)\n",
    "    ax[0].bar(x - 0.2, tot0, width=0.4, color='white', edgecolor=NAVY, linestyle='dashed', lw=1.6, label='original input')\n",
    "    ax[0].bar(x + 0.2, tot1, width=0.4, color=TEAL, label=f'input turned {turn}')\n",
    "    lo, hi = (min(0, tot0.min(), tot1.min()), max(tot0.max(), tot1.max()))\n",
    "    ax[0].set_ylim(lo - 0.1 * (hi - lo), hi + 0.55 * (hi - lo))\n",
    "    ax[0].axhline(0, color=GREY, lw=0.8)\n",
    "    if s:\n",
    "        a, b = (int(np.argmax(tot0)), int(np.argmax(tot1)))\n",
    "        ax[0].annotate('', xy=(b + 0.2, tot1[b]), xytext=(a - 0.2, tot0[a]), arrowprops=dict(arrowstyle='->', color=TERRA, lw=2, connectionstyle='arc3,rad=-.35'))\n",
    "    ax[0].legend(loc='upper left', fontsize=8.5, handlelength=1.4)\n",
    "    ax[0].set(xticks=x, xticklabels=['0', '90', '180', '270'], xlabel='filter orientation (degrees)', ylabel='total response', title='Totals change places')\n",
    "    mosaic = np.full((9, 9), np.nan)\n",
    "    for g in range(4):\n",
    "        r0, c0 = (5 * (g // 2), 5 * (g % 2))\n",
    "        mosaic[r0:r0 + 4, c0:c0 + 4] = turned[g]\n",
    "    limit = float(np.abs(base).max())\n",
    "    cmap = plt.get_cmap('RdBu_r').with_extremes(bad='white')\n",
    "    im = ax[1].imshow(np.ma.masked_invalid(mosaic), cmap=cmap, vmin=-limit, vmax=limit, interpolation='nearest')\n",
    "    for g in range(4):\n",
    "        label = f'{90 * g} deg' + (f' (was {90 * ((g - s) % 4)})' if s else '')\n",
    "        ax[1].text(5 * (g % 2) + 1.5, 5 * (g // 2) - 0.75, label, ha='center', va='bottom', fontsize=8.5, color=NAVY)\n",
    "    ax[1].set_xticks([])\n",
    "    ax[1].set_yticks([])\n",
    "    ax[1].grid(False)\n",
    "    ax[1].set_ylim(8.5, -1.5)\n",
    "    ax[1].set_title('Response maps after the turn', fontsize=11)\n",
    "    fig.colorbar(im, ax=ax[1], shrink=0.8, label='response')\n",
    "    mismatch = float(np.max(abs(turned - predicted)))\n",
    "    metrics = {'Channel totals, original': ', '.join((sig(v) for v in tot0)), 'Channel totals, turned input': ', '.join((sig(v) for v in tot1)), 'Places the pattern moved': s, 'Largest gap from the predicted maps': sig(mismatch)}\n",
    "    summary = f\"Turning the input by {turn} degrees leaves the four channel maps as the same set, each turned by {turn} degrees and moved {s} {('place' if s == 1 else 'places')} along the orientation list (largest gap {sig(mismatch)}). Only the order of the channels and the layout of each map change.\"\n",
    "    calc = f\"The four channels come from one set of 9 filter weights (each rotated by 0, 90, 180, 270 degrees). Channel totals before: {', '.join((sig(v) for v in tot0))}. After the {turn} degree turn: {', '.join((sig(v) for v in tot1))}, the same numbers moved {s} {('place' if s == 1 else 'places')}. A plain CNN with 4 separate 3x3 filters also has 36 weights but no such link.\"\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "SCALARS = 32\n",
    "\n",
    "def schur_counts(vectors=16, top=1):\n",
    "    \"\"\"Dense and equivariant weight counts for 32 scalar channels plus `vectors` channels of each degree 1..top.\"\"\"\n",
    "    dims = SCALARS + vectors * sum((2 * l + 1 for l in range(1, top + 1)))\n",
    "    return {'dims': dims, 'dense': dims ** 2, 'equivariant': SCALARS ** 2 + top * vectors ** 2, 'ratio': dims ** 2 / (SCALARS ** 2 + top * vectors ** 2)}\n",
    "\n",
    "def schur_picture(vectors=16, top=1):\n",
    "    c = schur_counts(vectors, top)\n",
    "    total = SCALARS + top * vectors\n",
    "    fig, ax = panels((1, 1.15))\n",
    "    mask = np.zeros((total, total))\n",
    "    mask[:SCALARS, :SCALARS] = 1\n",
    "    for l in range(1, top + 1):\n",
    "        start = SCALARS + (l - 1) * vectors\n",
    "        mask[start:start + vectors, start:start + vectors] = 1\n",
    "    ax[0].imshow(mask, cmap=ListedColormap(['#dcdcdc', TEAL]), interpolation='nearest', extent=(0, total, total, 0), vmin=0, vmax=1)\n",
    "    ax[0].grid(False)\n",
    "    centres = [SCALARS / 2] + [SCALARS + (l - 0.5) * vectors for l in range(1, top + 1)]\n",
    "    ax[0].set_xticks(centres)\n",
    "    ax[0].set_xticklabels([str(l) for l in range(top + 1)])\n",
    "    ax[0].set_yticks(centres)\n",
    "    ax[0].set_yticklabels([str(l) for l in range(top + 1)])\n",
    "    ax[0].set(xlabel='input feature type (degree)', ylabel='output feature type (degree)', title='Teal weights are allowed')\n",
    "    if vectors > 0:\n",
    "        ax[0].text((SCALARS + total) / 2, SCALARS / 2, 'forced\\nto zero', ha='center', va='center', fontsize=10, color=NAVY)\n",
    "    ax[0].text(SCALARS / 2, SCALARS / 2, 'free', ha='center', va='center', fontsize=10, color='white', fontweight='bold')\n",
    "    ax[0].legend(handles=[Patch(color=TEAL, label='free weight'), Patch(color='#dcdcdc', label='forced to zero')], loc='upper center', bbox_to_anchor=(0.5, -0.2), ncol=2, fontsize=8.5, frameon=False)\n",
    "    grid = np.arange(0, 49)\n",
    "    for l, style, colour in [(1, 'solid', TEAL), (2, 'dashed', GOLD), (3, 'dotted', TERRA)]:\n",
    "        ys = [schur_counts(v, l)['ratio'] for v in grid]\n",
    "        ax[1].plot(grid, ys, linestyle=style, color=colour, lw=2.2)\n",
    "        ax[1].text(47, ys[-1] + 1.5, f'degrees 1 to {l}' if l > 1 else 'degree 1 only', color=colour, fontsize=9, ha='right', va='bottom')\n",
    "    ax[1].plot([vectors], [c['ratio']], 'o', color=NAVY, ms=12, mfc='none', mew=2.4)\n",
    "    ax[1].plot([16], [schur_counts(16, 1)['ratio']], '*', color=NAVY, ms=11)\n",
    "    ax[1].annotate('book example: 5x', xy=(16, 5), xytext=(26, 0.8), fontsize=9, color=NAVY, arrowprops=dict(arrowstyle='->', color=NAVY))\n",
    "    ax[1].set(xlabel='channels per richer type (v)', ylabel='saving factor (dense / equivariant)', ylim=(0, 90), title='Saving grows with richer types')\n",
    "    metrics = {'Numbers per input': c['dims'], 'Dense layer weights': f\"{c['dense']:,}\", 'Equivariant layer weights': f\"{c['equivariant']:,}\", 'Saving factor': sig(c['ratio'])}\n",
    "    summary = f\"A dense layer on {c['dims']} numbers needs {c['dense']:,} weights. Keeping only same-type connections needs {c['equivariant']:,}, {('a saving of ' + sig(c['ratio']) + ' times' if c['ratio'] > 1 + 1e-09 else 'the same count, because with no richer types there is nothing extra to forbid')}. Every weight outside the teal blocks must be zero for the layer to be equivariant.\"\n",
    "    parts = ' + '.join([f'{SCALARS}^2'] + [f'{vectors}^2'] * top)\n",
    "    dim_text = f\"{SCALARS} + {vectors} x ({' + '.join((str(2 * l + 1) for l in range(1, top + 1)))}) = {c['dims']}\"\n",
    "    calc = f\"Input size = {dim_text}, so a dense layer has {c['dims']}^2 = {c['dense']:,} weights. Equivariant: {parts} = {c['equivariant']:,}. Ratio {c['dense']:,} / {c['equivariant']:,} = {sig(c['ratio'])}. The book example (32 scalars, 16 vectors) gives 6,400 / 1,280 = 5.\"\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "ATOMS = np.array([[-0.65, 1.3, 0.65], [-0.7, 0.2, -0.2], [-1.8, 1.25, -0.3], [-1.65, 0.45, 0.75]])\n",
    "SPRING_K, REST, RAW_WEIGHT = (2.0, 1.2, 0.3)\n",
    "SHIFT = np.array([2.4, -1.6, 0.8])\n",
    "\n",
    "def rotation_z(angle):\n",
    "    a = math.radians(angle)\n",
    "    return np.array([[math.cos(a), -math.sin(a), 0.0], [math.sin(a), math.cos(a), 0.0], [0.0, 0.0, 1.0]])\n",
    "\n",
    "def energy(pos, kind='distances'):\n",
    "    pos = np.asarray(pos, dtype=float)\n",
    "    total = 0.0\n",
    "    for i in range(len(pos)):\n",
    "        for j in range(i + 1, len(pos)):\n",
    "            total += 0.5 * SPRING_K * (np.linalg.norm(pos[i] - pos[j]) - REST) ** 2\n",
    "    if kind == 'raw coordinates':\n",
    "        total += RAW_WEIGHT * float(pos[:, 0].sum())\n",
    "    return float(total)\n",
    "\n",
    "def forces(pos, kind='distances'):\n",
    "    \"\"\"Exact negative gradient of `energy`.\"\"\"\n",
    "    pos = np.asarray(pos, dtype=float)\n",
    "    out = np.zeros_like(pos)\n",
    "    for i in range(len(pos)):\n",
    "        for j in range(len(pos)):\n",
    "            if i != j:\n",
    "                d = pos[i] - pos[j]\n",
    "                r = np.linalg.norm(d)\n",
    "                out[i] -= SPRING_K * (r - REST) * d / r\n",
    "    if kind == 'raw coordinates':\n",
    "        out[:, 0] -= RAW_WEIGHT\n",
    "    return out\n",
    "\n",
    "def move(pos, angle):\n",
    "    return np.asarray(pos) @ rotation_z(angle).T + SHIFT\n",
    "\n",
    "def molecule_values(angle=60, kind='distances'):\n",
    "    moved = move(ATOMS, angle)\n",
    "    f0, f1 = (forces(ATOMS, kind), forces(moved, kind))\n",
    "    expected = f0 @ rotation_z(angle).T\n",
    "    return {'moved': moved, 'e0': energy(ATOMS, kind), 'e1': energy(moved, kind), 'f0': f0, 'f1': f1, 'expected': expected, 'mismatch': float(np.max(abs(f1 - expected))), 'net': f1.sum(axis=0)}\n",
    "\n",
    "def angle_between(a, b):\n",
    "    \"\"\"Angle in degrees between two vectors in the x-y plane (0 when either is zero).\"\"\"\n",
    "    na, nb = (np.linalg.norm(a[:2]), np.linalg.norm(b[:2]))\n",
    "    if na < 1e-12 or nb < 1e-12:\n",
    "        return 0.0\n",
    "    c = float(np.dot(a[:2], b[:2]) / (na * nb))\n",
    "    return float(np.degrees(np.arccos(np.clip(c, -1, 1))))\n",
    "\n",
    "def molecule_picture(angle=60, energy_kind='distances'):\n",
    "    v = molecule_values(angle, energy_kind)\n",
    "    fig, ax = panels((1.1, 1))\n",
    "    turned, f1 = (v['expected'][0], v['f1'][0])\n",
    "    reach = max(np.linalg.norm(turned), np.linalg.norm(f1), 0.5) * 1.4\n",
    "    ax[0].annotate('', xy=(turned[0], turned[1]), xytext=(0, 0), arrowprops=dict(arrowstyle='-', color=GOLD, lw=7, alpha=0.8, shrinkA=0, shrinkB=0))\n",
    "    ax[0].plot([turned[0]], [turned[1]], 'o', color=GOLD, ms=9, alpha=0.8)\n",
    "    ax[0].annotate('', xy=(f1[0], f1[1]), xytext=(0, 0), arrowprops=dict(arrowstyle='-|>', color=TERRA, lw=2, shrinkA=0, shrinkB=0))\n",
    "    gap_angle = angle_between(turned, f1)\n",
    "    gap_size = float(np.linalg.norm(f1[:2] - turned[:2]))\n",
    "    if gap_size > 1e-09:\n",
    "        ax[0].plot([turned[0], f1[0]], [turned[1], f1[1]], color=NAVY, lw=2.2, solid_capstyle='round')\n",
    "        mid = (turned[:2] + f1[:2]) / 2\n",
    "        side = np.array([mid[1], -mid[0]]) / max(np.linalg.norm(mid), 1e-09)\n",
    "        ax[0].text(mid[0] + 0.6 * reach * side[0], mid[1] + 0.35 * reach * side[1], f'gap {gap_size:.2f}\\n({gap_angle:.0f} deg apart)', color=NAVY, fontsize=9, ha='center', va='center', fontweight='bold', bbox=dict(boxstyle='round,pad=.15', fc='white', ec='none', alpha=0.9))\n",
    "    else:\n",
    "        ax[0].text(0, -reach * 0.55, 'gold and terracotta coincide', color=NAVY, fontsize=9, ha='center', fontweight='bold')\n",
    "    ax[0].plot(0, 0, 'o', color=NAVY, ms=5)\n",
    "    ax[0].plot([], [], color=GOLD, lw=6, alpha=0.8, label='old force, turned with molecule')\n",
    "    ax[0].plot([], [], color=TERRA, lw=2, label='force recomputed after the move')\n",
    "    if gap_size > 1e-09:\n",
    "        ax[0].plot([], [], color=NAVY, lw=2.2, label='gap between the two')\n",
    "    ax[0].legend(loc='lower center', fontsize=7.5, handlelength=1.6)\n",
    "    ax[0].axhline(0, color=GREY, lw=0.6)\n",
    "    ax[0].axvline(0, color=GREY, lw=0.6)\n",
    "    ax[0].set(xlim=(-reach, reach), ylim=(-reach * 1.35, reach * 0.6), xlabel='x part of the force', ylabel='y part of the force', title='Force on atom 1, from one point')\n",
    "    ax[0].set_aspect('equal')\n",
    "    angles = np.arange(0, 361, 5)\n",
    "    es = np.array([energy(move(ATOMS, a), energy_kind) for a in angles])\n",
    "    fx = np.array([forces(move(ATOMS, a), energy_kind)[0, 0] for a in angles])\n",
    "    fy = np.array([forces(move(ATOMS, a), energy_kind)[0, 1] for a in angles])\n",
    "    ax[1].plot(angles, es, color=GOLD, lw=2.8, label='energy')\n",
    "    ax[1].plot(angles, fx, color=TEAL, lw=2, linestyle='dashed', label='force on atom 1, x part')\n",
    "    ax[1].plot(angles, fy, color=NAVY, lw=2, linestyle='dotted', label='force on atom 1, y part')\n",
    "    ax[1].axvline(angle, color=GREY, linestyle='dotted')\n",
    "    for yv, colour in [(v['e1'], GOLD), (v['f1'][0, 0], TEAL), (v['f1'][0, 1], NAVY)]:\n",
    "        ax[1].plot([angle], [yv], 'o', color=colour, mfc='white', mew=2, ms=8)\n",
    "    lo, hi = (min(es.min(), fx.min(), fy.min()), max(es.max(), fx.max(), fy.max()))\n",
    "    ax[1].set_ylim(lo - 0.1 * (hi - lo), hi + 0.6 * (hi - lo))\n",
    "    ax[1].legend(loc='upper center', fontsize=8, ncol=1, handlelength=1.6)\n",
    "    ax[1].set(xlabel='rotation applied (degrees)', ylabel='value', xticks=[0, 90, 180, 270, 360], title='Energy flat, forces swing' if energy_kind == 'distances' else 'Energy now drifts too')\n",
    "    metrics = {'Energy before to after the move': f\"{sig(v['e0'])} to {sig(v['e1'])}\", 'Largest gap: new force vs turned old force': sig(v['mismatch']), 'Angle between them on atom 1 (degrees)': sig(0 if angle_between(v['expected'][0], v['f1'][0]) < 0.0001 else angle_between(v['expected'][0], v['f1'][0])), 'Total force on the molecule': vec(v['net'])}\n",
    "    if energy_kind == 'distances':\n",
    "        summary = f\"The energy is {sig(v['e0'])} before and after the move, and each recomputed force matches the old force turned with the molecule (gap {sig(v['mismatch'])}). The forces add up to {vec(v['net'])}: the molecule has no net push.\"\n",
    "    else:\n",
    "        summary = f\"With raw x-coordinates in the energy, the move changes it from {sig(v['e0'])} to {sig(v['e1'])}, the new forces no longer match the turned old ones (gap {sig(v['mismatch'])}), and the total force is {vec(v['net'])}, not zero.\"\n",
    "    f1 = v['f1'][0]\n",
    "    f0 = v['f0'][0]\n",
    "    calc = f\"Atom 1 force before: {vec(f0)}. Turning it by {angle:g} degrees about z gives {vec(rotation_z(angle) @ f0)}; the force recomputed from the moved positions is {vec(f1)}. Energy sums 1/2 x 2 x (distance - 1.2)^2 over the 6 atom pairs{(' plus 0.3 times the sum of x-coordinates' if energy_kind != 'distances' else '')}: {sig(v['e0'])} before, {sig(v['e1'])} after.\"\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55a7796c",
   "metadata": {},
   "source": [
    "## C05-D01: Which answers stay put, and which turn?\n",
    "\n",
    "When a shape is turned, which of its measurements should stay the same and which should turn with it?\n",
    "\n",
    "A length is just a number, so turning the shape cannot change it. An arrow has a direction, so its coordinates must change by the same turn that was applied to the input. The identity R-transpose times R equals the identity says a turn never stretches anything.\n",
    "\n",
    "$$\n",
    "\\ell(Rx)=\\ell(x),\\qquad v(Rx)=Rv(x)\n",
    "$$\n",
    "\n",
    "$$\n",
    "R^\\top R=I\n",
    "$$\n",
    "\n",
    "**Symbols:** x: the input: three corners of a triangle in the plane; R: a turn (rotation) by the chosen angle; ell: length of the first edge, a single number; v: the first edge drawn as an arrow, with a direction; scale: size multiplier for the whole triangle\n",
    "\n",
    "**Predict before looking:** Turn the triangle by 90 degrees. Does the edge arrow keep pointing to the right, and does its length change?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0933e1ca",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:33.766698Z",
     "iopub.status.busy": "2026-10-03T01:40:33.766625Z",
     "iopub.status.idle": "2026-10-03T01:40:33.867344Z",
     "shell.execute_reply": "2026-10-03T01:40:33.867275Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "Which answers stay put, and which turn?"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Edge length before:** 2\n",
       "- **Edge length after:** 2\n",
       "- **Edge arrow after the turn:** (1.41, 1.41)\n",
       "- **Gap from R times the old arrow:** 0"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "After a 45 degree turn the edge length is still 2, but the arrow now points along (1.41, 1.41). The length ignores the turn (invariant); the arrow has to turn with the input (equivariant)."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Before the turn the edge is (2, 0), so its length is sqrt(4) = 2. The rotation matrix R has cos 0.707 and sin 0.707. R times the arrow gives (1.41, 1.41), whose squared length is 4: the same."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = symmetry_picture(**{'angle': 45, 'scale': 1})\n",
    "buffer = io.BytesIO()\n",
    "figure.savefig(buffer, format='png', dpi=140, bbox_inches='tight', pad_inches=0.16)\n",
    "display(Image(data=buffer.getvalue(), alt='Which answers stay put, and which turn?'))\n",
    "plt.close(figure)\n",
    "display(Markdown('\\n'.join('- **' + str(k) + ':** ' + str(display_value(v)) for k, v in values.items())))\n",
    "display(Markdown(clean_display_text(explanation['summary'] if isinstance(explanation, dict) else explanation)))\n",
    "if isinstance(explanation, dict) and explanation.get('calculation'):\n",
    "    display(Markdown(clean_display_text(explanation['calculation'])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d39d8694",
   "metadata": {},
   "source": [
    "**What happens:** At Turn applied (degrees) = 90, Triangle size (scale) = 1: No to both. The arrow now points straight up, (0, 2), and its length is still 2. The length is invariant; the arrow is equivariant, so it turns with the input.\n",
    "\n",
    "**Takeaway:** A length ignores the turn (invariant), but an arrow must turn with the input (equivariant).\n",
    "\n",
    "**Use the idea:** A model that reads molecules or point clouds should give a turn-proof answer for a single number such as an energy, and a turning answer for a direction such as a force. Mixing the two up is a common design error.\n",
    "\n",
    "**Where it applies:** Euclidean coordinates with the same units on both axes. Rotations about the origin preserve length; scaling is a separate change. The output arrow is expressed in the same coordinate frame as the input. The triangle is a toy input.\n",
    "\n",
    "**Check your understanding:** The edge is the arrow (0, 3) and the shape is turned by 180 degrees. What are the new arrow and its length?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "The new arrow is (0, -3) and the length is still 3: a half turn flips the direction and keeps the size.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 5, The Thing That Commutes; What the Group Leaves Alone. Book equation with companion toy inputs stated in the assumptions; every plotted value is recomputed. No random numbers are used.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "368db343",
   "metadata": {},
   "source": [
    "## C05-D02: Average over four quarter turns\n",
    "\n",
    "If we average a measurement over the four right-angle turns of its input, does it stop caring about rotation altogether?\n",
    "\n",
    "Measure each of the four turned copies of the input, then average the four results. Turning the input by one more quarter turn only reorders the four copies, so the average cannot change. A 45 degree tilt is not one of the four copies, so nothing forces the average to match.\n",
    "\n",
    "$$\n",
    "\\mathcal R[f](x)=\\tfrac14\\sum_{g\\in C_4} f(g^{-1}x)\n",
    "$$\n",
    "\n",
    "$$\n",
    "f(x)=x_1^4+2x_2^2\n",
    "$$\n",
    "\n",
    "**Symbols:** f: a measurement that depends on direction; C4: the four quarter turns: 0, 90, 180 and 270 degrees; g: one of those four turns; \"g inverse x\" is the input turned back by g; R[f]: the four-turn average of f; x: the input point, at the chosen angle and radius\n",
    "\n",
    "**Predict before looking:** Will the averaged curve be flat for every input angle, or will it only repeat every 90 degrees?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b3efba5c",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:33.869142Z",
     "iopub.status.busy": "2026-10-03T01:40:33.869057Z",
     "iopub.status.idle": "2026-10-03T01:40:33.985304Z",
     "shell.execute_reply": "2026-10-03T01:40:33.985240Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "Average over four quarter turns"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Input point:** (1, 0)\n",
       "- **Raw measurement:** 1\n",
       "- **Average of the four copies:** 1.5\n",
       "- **Average after a further 90 degree turn:** 1.5"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The four turned copies measure 1, 2, 1, 2, and their mean is 1.5. A further quarter turn only reorders the copies, so the mean repeats every 90 degrees. It is not constant: it is 1.5 at 0 degrees and 1.25 at 45 degrees, so it is not fully rotation invariant."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "f(x) = x1^4 + 2 x2^2. Sum of the four values = 1 + 2 + 1 + 2 = 6; divide by 4 to get 1.5. Closed form: (x1^4 + x2^4)/2 + x1^2 + x2^2 = (1 + 0)/2 + 1 = 1.5."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = averaging_picture(**{'angle': 0, 'scale': 1})\n",
    "buffer = io.BytesIO()\n",
    "figure.savefig(buffer, format='png', dpi=140, bbox_inches='tight', pad_inches=0.16)\n",
    "display(Image(data=buffer.getvalue(), alt='Average over four quarter turns'))\n",
    "plt.close(figure)\n",
    "display(Markdown('\\n'.join('- **' + str(k) + ':** ' + str(display_value(v)) for k, v in values.items())))\n",
    "display(Markdown(clean_display_text(explanation['summary'] if isinstance(explanation, dict) else explanation)))\n",
    "if isinstance(explanation, dict) and explanation.get('calculation'):\n",
    "    display(Markdown(clean_display_text(explanation['calculation'])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7a8b185",
   "metadata": {},
   "source": [
    "**What happens:** At Input angle (degrees) = 45, Radius of the input = 1: It only repeats every 90 degrees. The average is 1.5 at 0 degrees and dips to 1.25 at 45 degrees, then returns to 1.5 at 90. Averaging over four turns fixes the answer for those four turns, not for angles in between.\n",
    "\n",
    "**Takeaway:** Averaging over four right-angle turns makes the answer repeat every 90 degrees, but not stay constant at every angle.\n",
    "\n",
    "**Use the idea:** Image, map and sensor-grid models are often made robust to right-angle turns, by averaging or by training on turned copies. This shows the guarantee covers only those turns, so tilted inputs still need their own test.\n",
    "\n",
    "**Where it applies:** Exact, deterministic averaging over the four elements of C4 with equal weights. The measurement f is a toy function. The point is x = (radius cos a, radius sin a) at input angle a. No claim is made about invariance at other angles.\n",
    "\n",
    "**Check your understanding:** Would averaging over only two turns (0 and 180 degrees) make the answer repeat every 90 degrees?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "No, only every 180 degrees. Here f(-x) = f(x), so the two-turn average is just f, which is 1 at angle 0 and 2 at angle 90 (radius 1).\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 5, The Minimum Viable Theory. Book equation with companion toy inputs stated in the assumptions; every plotted value is recomputed. No random numbers are used.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5125a369",
   "metadata": {},
   "source": [
    "## C05-D03: Slide then filter, or filter then slide\n",
    "\n",
    "On a ring of eight samples, does sliding the input and then filtering give the same result as filtering and then sliding?\n",
    "\n",
    "A shared ring convention lets sliding move the input and the output together. The filter looks the same from every position, so it does not matter whether the slide comes before or after. At a real image border the algebra is no longer exact.\n",
    "\n",
    "$$\n",
    "(f*k)[i]=\\sum_{j=0}^{7}f[j]k[(i-j)\\bmod8]\n",
    "$$\n",
    "\n",
    "$$\n",
    "T_s(f*k)=(T_sf)*k\n",
    "$$\n",
    "\n",
    "**Symbols:** f: the eight input samples on the ring; k: the filter: smoothing (0.25, 0.5, 0.25) or difference (1, -1); T_s: slide every sample s places round the ring (numpy roll); i, j: positions on the ring; indices wrap modulo 8\n",
    "\n",
    "**Predict before looking:** Slide the bump far enough that it wraps from position 7 back to position 0. Will the two orders still agree?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c268ad46",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:33.986730Z",
     "iopub.status.busy": "2026-10-03T01:40:33.986660Z",
     "iopub.status.idle": "2026-10-03T01:40:34.103224Z",
     "shell.execute_reply": "2026-10-03T01:40:34.103170Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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cnQQAAACPKtPQHAwAAAAAAMALEAQCAAAAAADwAgSBAAAAAAAAvABBIAAAAAAAAC9AEAgAAAAAAMALMDoYAAAwpE8//VQSEhL0fGBgoDzyyCOuThIAAIBbl2k8MgiUkpIi23btlTUbtsip02flenS0FC1cWJo0qCM9unaQoMDAXO1v+Zr1erpw6YoUCA+TFo3rS+/unSXA3yMPHwAAhpCcnKwn0zwAAIA7SjZQmcYjoxg/TvtDZi9YarHs9NnzsnPvflm2+l95/bknJDws1KZ9ffXjL7Jg2WqLZfsOHpZN23fJy089LAEBAXZNOwAAAAAAgCN4ZBBIad2ssTRrXF/KlS6pa+wcPnZCfv3zHzl+6oz8/s8CuXNo/xz3sWXHbh0ACgkOlruGDZA6NarJ6XPn5bupM2T3voMye8EyGdC7m1PyAwCAtwkJCRE/Pz9z1WkAAAB3FGKgMo1HBoFUgMd0gE0qli8rpUpEyItv/0/27j9k037mL12lH++5bZB07dBaz5ctXVIiihaRp199V+YvXUkQCAAAB7n//vs5tgAAwO3db6AyjUeODpYxAGRSuFBB/RgaGmLTfnbt3S+BAQHSoXUzi+WVKpSTapUryIVLl+XMuQt2SDEAAAAAAIBjeWRNIGuuXL0mP/76u57v0Lp5zttfi5SY2DipXKGc1X5/KlcsLwcOH5PTZ89J6ZIRDkkzvEdqaqpERcdmu42vn6+EhQRbLEtKSpbYuPhsXxcXl7bf5BSR8LAQ8fHxsUOKAQAAAADuxqODQFNmzpKVazdKfEKCXI+K1p1B3z1soE1BoOjoGP1YsEC41fUFw9OWR8dk/8f9uTcmWl3u55Ms5UqXkpiYtPcxutjY7PPpzoyQN3UedRiS/TCBzerXkq/eGWuxbO2mnfLIy//L9nWFCqR1gn7teoys+O1TCbOxJpw7MMJn50ienD9Pzpun588d8xYaattgEAAAAJ7Oo4NAUVHRusmWSXBQkCQmJekh5H19s28Jl5Kaqh+z2s7X18cQw7sBAIzp+LzREpAaZff9Vhk4w+77BAAA8Dbxl9O6dgkNrSjexKODQMMH9ZUBvbtLXHyCnDl7XmYvXCpTZszSTcNG3T4k29eGBAfpx5gsavqYagCFhmRfq+LtF5+2unzSj5Pd8u6ku6XXXfKmmmpdiYzOdpvouIRMafT188/xdSZqu+DgEI/8DD0xT96SP0/OmwoABaRe99hjZpR0AAAA5FbcpfOy96MX9XzjZ9+X4GIlvOYgenQQqEB4uJ6UCmVLS9OG9eShca/oUb3uvHWAHjo+K0WLFBZ/f385dfac7q8lYz8qJ0+f1Y8lI4o5OBfwRpvnfCcFwjIGfDLXSmvfoqEcWP5rlvtJSk6WDVt3SWBggIQEh5iDmwDgDv755x9JSkrS8+qa3Lt3b1cnCQAAeEAAaOu7YyX+4jn9XM03emaCQwNBRirTeHQQKCN/fz8JCgqS5OQUXcOnUMECWW7r5+sr1StXlD0HDsnOPfulfp2a5nXXIq/Lnv2HdC2gcmVKOyn18CYqAFQgPNSmczqn7do1b6AfuWsPwN0cPHhQEhIS9HxgYKCrkwMAADwkABR34cx/yy6ccXggyEhlGo8cIv7Dr36QvQcOSWJionnZpStX5dspv+nRvIoVKZxlh8/pmTqQnjR5mn6dojqY/vjrnyQhMVHatWqq/4QD+aVq+bRoWNs8Wav1AwAAAACwXwAoYyBIbePpPLIm0Or1m2Xluo26CVehAuE6YKOGezd19HzP8EEWzbtWrN0gU2f+Ld06tZVBfW42L+/SvrUsWbVODhw+Ko89/4auOaQ6m1ZNbIoWLiRDb+nlkvzB86ih32d9966rkwEAAAAAHsdaACg4Iq1Vj2mZM2oEGYFHBoGefniULFq+RnbvOyBXI9M65QwOCpS6tarLwN7dpVb1qhbbx8bF6VHEVIAnPVXL58UnH5Ifp/0hq/7dKFevRYqvj480rl9H7r1jiBQpVNCp+QIAwJsMHTpUj+ip5DSqJwAAQG4CQI2emaDn069zVCDISGUajwwCtWzSUE+m/nuUAuFhWR7sDq2a68COtZG+wsNC5eGRt8sDdw6T61FREhoaIkH0SwA3oUaxu+uJN/R8VGy8zPzyDQkLzX5EOwAwitKlva/fPVVAPH7ytJw5f0GSEpOkVMkIqVqpQp4KjMkpKbL3wGG5eOmyLgfVrVldgoLoWwkA4D2yCwAF3wjyqHlHB4KMVKbxyCBQetl1/mwSEhKsp+yoWkFFCheyY8oAx0tJSZVd+4+Yh4hXzwEAxjT5t79kxZr1cvnqNYvlJSOKy0Mjh0u9WjVs3tfhoyfk/S++lbPnL5qXqZsAD4+8Q1o2TbtRBgCAtweAFDXvjECQUVC3GjCApKRkWbVhu3lSzwEA3mXe4uW66Xml8mXNtZoLhofLuQsX5c0PvpCTZ87atB9Vc/n1Dz7TAaBSJSL0QBfVq1TUtUM/+OI7OXT0uMPzAgCAOwSAMgaCTP0EeXJn0R5fEwhwB7Fx8TL4wRfNzw8s/9WmIeIBAJ7jjiG3SKumjSxqHsfGxsmbH34he/YfksUr1spdtw7IcT9/z18qkdejpFmjejL24fvMI5n+8vtsmfH3PJn25z/y/OOjHZoXAADcJQDkbTWCqAkEAABgAD27dszU9Fw1Vx/Qq7uev3o10qb9/Lt5m35UASNTAEgZ3K+Hrlm0bedeiYmNtWvaAQBw5wCQN9UIIggEAAAMae/evbJr1y49qXlvlZCYoB/Lli6Z47bxCQly+sw5KV6siJQpZbl9gL+/Hik1KTlZjp/8r3AMAIAnyG8AyJGBICOVaWgOBgAADGn+/PmSkJAWAAkMDJRatWqJt0lOTpY//lmoRzC9qWObHLe/cjVSUlJTpWTxYlbXl4hIW3756tVs9/PcGxOtLvfzSZZypUtJTEyMGE2sF9RuIo+ewdM/R0/Pn0IejSf+8gXZ+9GLEn/xXL4CQDk1DdvyzlNSa8wbElQ0QnJj3rx5kpiYqOcDAgKkQoUKOb4mNNQx3YMQBAIAADCg1NRU+eKHqXLk2Al5+uF7pXChgjm+Jj4+3hw0syb4xvK4+LTgGgAA7qrx+5+Z54skxcpTVyMld6GZ3Dt5NVKe+PpHueIfYl625amHxZ0QBAIAADCY5JQU+fKHX2TZ6vUy+u7hNg/rHhCQVrRTTb6sSUxK0o+BN7bLytsvPm11+aQfJzv07qQ9GDlt9kIePYOnf46enj+FPLrW5cSk/+YlQF6OaCSvnN8ipZLj8t2pc5yVpmVn/YJlfEQjuZgaoC6ouToPfHx8LOZdee4QBAIAAIbUrFkz3RxK8fP7r4NjT6cCNR9+9YOs37RNHhp5u3Rp18rm1xYqWEA/XrpsvbnX5StpywsVSNsOAABPcdE/WMaXaJzvQFBcVgGgEo31e7h7mYYgEAAAMKS2bduKt4mNi5d3P5kku/YekIfvHSGd2rTI1evDQkOlWJHCcvbcebkWed0cFDLZc+Cwfixf9r/OLgEA8BT5DQTFOSAAZLQyDaODAR7M189XWjepq6dOrRrr5wAAY7oeFSWvvvexDgA9dt+duQ4AmTRpUFd3Dv3nnIUWy1f9u1HOXbgo1SpXtKl/IQAA3DkQpII3uRndK85BASCjoSYQ4MHCQoLl09ef9Jo2ywDgrlQV8Zfe+UhOnDojTRvWk/j4BFm0fI3FNkUKF9TrTE6eOSt79x+WiuXLSPUqlczL+97cRZauWiez5i+RS1euSu0aVeX02QuyYNkqvX5g7+5OzBkAAMavERTnJQEghSAQAACAiyUkJukAkLJp2049ZVS3ZjWLIJCqMTTpp2nS7+YuFkGgsqVLysOj7pDPv5siq9dv1pPJwD7dbe5kGgAAbwgExXlRAEghCAQYQEhwkMz48g2L5wAA7+Hv5ytd27fOdpsypUtaPC9XupR+TfWq/wWATDq0bi41q1WWNeu3yMXLlyU8PExaNG4gVStVsHvaAQBw10CQ4k0BIIUgEGAA/v5+0q55A1cnAwAMJT4+3uJ5UJDnBsgDAgL0SGC5UbdWdT1lpWREcRnQu5sdUgcAgGcGghRnBICMVKYhCAR4sMTEJFmxfpue9/X1k86tm0hAAF97AO7hyy+/lISEBD0fGBgoY8aMcXWSAACABwWC0nNkDSAjlWn4Nwh4sLj4BHli/Md6/kpktBxY/itBIAAAAABex1ogyFuagKXHeNEAAAAAAMArh48/60UBIIWaQIABRMfGyW0Pv2J+/stn4/Xw7gDgzYoWLSqJiYnmPnMAAADsFQh67cJW/Xx8RCOHB4CMVKYhCAQYQEpyiqzftsfiOQB4uxEjRrg6CQAAwANd9A+W98s0TZtPDfCqMg1BIAAAAAAA4FWu+IekzSQmiTehTyAAAIBcSkhI1CMwAgAAuBOCQAAAADbYc+CwjBzzvFRvebNUaNxZHnnudb386PFTMm78BPnih184jgAAwNBoDgYAAJCDzdt3yeCRj0tMbKyEhtyoPn5D2dIlZfbC5RIVFS23DegthQsV5HgCAABDoiYQAABADp58+V0dABo/7lH54LVnLNYFBPhLjy7tJCExUeYvXc2xBAAAhkVNIAAAYEgzZsyQpKS0fnf8/f1l8ODBLknH3oOHZe+Bw7rGz30jhsis+UszbVO5fFn9uHPPfrm1f08XpBIAABjVDIOUafT7u+ydAQAAsnHq1ClJSEjQ84GBgS47VqrPH6V2jari62u9EnWJiOL68cq1SKemDQAAGN8pg5RpFIJAgAcLDQmSHz94Uc/7BwTo5wCA3PERH8vnlk+1S1eu3PjdDebwAgAAwyIIBHgwPz8/qVezsp4PDQ11dXIAwC1VKF9GPx49flI/+liJAm3auks/Vq9S0cmpAwAAcIMg0O59B2Xluk1y6cpVqV29igzo3U3iExLk2rXrEhQUKIUKFnBV0gCn8/XzlTZN61s8BwBvd+edd4oR1KpWWSpXKCcHjxyXtRu3Zlq/fvN2mbtkpQ68d+/cziVpBAAAxnWnQco0LgkCJSQkylOvvCu/zZpnXnZLz646CHT2/EVp1eNWqViujKybN83ZSQNcJiwkWH6f9CafAACkU6RIEUMcD1Xz55WxD8s9jz0vo8a8IE0b1jX3FTTutYky/c85kpKSIvePGKrLMAAAAEYs0yhOr27w1kdf6QBQ9SqVZEi/HhbrVMGpZdOGcvTEKdm8Pa1aNQAAgKv16NJePnrzeT0M/MLla/Sybbv2yk/T/pT4hES5c+gt8vLTD7k6mQAAAMapCXQ9Klq+n/q7+Pv7ya+T3pcNW3ZY1AhSmjeqJ+s2bpXlazZIkwZpd9oA5E10TKwMf/RVPR8VEy+zvn1HwkJDOJwAkAdDb+kp3Tu11U2/1JDx8fEJUqZUCenWqa1u2g4AAGB0Tg0Cbdu5V/f707JJAylbuqRs2Loz0zblypTSj8dPnXFm0gCPlJKSKvsPn9DzVyKj9XMAQN4VLlRQbhvQm0MIAADcklODQFcjr+vHYkULZznEqu+NhUlJyc5MGuBS6nxfuX6b+Xn7Fg11jTkAAAAAANwyCFT4xohfV65FZrnNidNn9WPJiGJOSxfgarFx8XLbjWZbyoHlv0qBcIZ0B+DdNm/eLMnJaTeF1MhbTZo0cUk6Nm3bKd9N/d2mbVWn0SOHD3J4mgAAgPvYbJAyjdODQA3q1tS1G7bu3Kv7KlGjbaSXlJQkv/+zUM+3aPzfcNkAAMD7rFy5UhISEvR8YGCgywpMJ06dlZmzF9i0bVJyMkEgAABgyDKN04NABQuEy6A+N8u0P+fI82/+T1o3a2Red/7CJXnm9Yly8vRZqVyhnHTt0NqZSQMAALCqbcumMvP7jzMtT01JlSPHT8pXP02TM+cuyJvPPyGN69fmKAIAAMNyahBIee2ZR2XH7n06EDT9r7l62fwlK+WvuYv1fIHwMPn8vVd0FSkAAABXiyhWRE/WtGvVVAb07ibt+94uH036SRbN/N7p6QMAADBsEKhQwQLy95Qv5dNvfpbps+bJqTPnJC4+QUJCgqVr+1by7GP3S7XKFfL9PpevXJVtu/bK2fMXJTEpSUqVKC4tGjfQo3rYat/Bw7Ji7Uar61Sztntuo80/AACO0r59e4v280YVHhYqtw3sIx988b38PnuBjBh6i6uTBAAADKS9gco0Tg8CKWGhIfLMY/fpKSo6RuLi46VIoYJ2OxhvfPC5bNu5R1JSLYfD/n7qTLlr2EDp0aW9zX0AzFuywuq6AH9/gkAAADiQK9vL51b5sqX0o7oBNUIIAgEAAGOWaVwSBMp490xN9rRn/0EpXLiQNKhTU0pGFNfLNm/fJQcOH5WvJ0+TCuVKS50a1WzeX9f2raVShXIWy/z8fO2aZgAA4L6OnzyjHzPegAIAADASpwaBoqNj5PzFyzZtqwJDEcWL5ul9XnjyIalVrYr4+v4XqBl6S0/56KsfZcW6DbL63025CgI1rl9HWjdvnKe0AAAAz5WamiprNmzRtY2VRvVquTpJAAAAxggCLVy+Rh4c+6pN297Ss6t8NXF8nt4nqwBP5/atdBAoJjYuT/sF3I1qYtm+RUM9Hxuf6PL2pwDgjuYtWSljX51gdd31qCjdt6FSo2olGdy3h5NTBwAAYNAgUPGiRaR18/+Ghc84xOq5C5d0f0EN6taUGlUq2f39L9yohVQ9l/vef+iIHD52QlJSUqRUyQhp3qh+rjqYBlwlNCRIPnzlsbT5UPs2uwQAbxGfkCCXr16zui4wwF8PaHFTxzby+P13SmhIsNPTBwAAYMggkBpGVU1Z+fm3WTJ2/ARp37KZPDn6bru+t+qAevqsOVKieDHdx09uzJq/xOL5t/6/yZ23DpBeN3XM8bXPvTHR6nI/n2QpV7qUxMTEiDuIjY0VT2WEvMXFxUqRgmEWz+3V7ZQR8uconpw3T8+fJ+fNlL9En3CH7NvV1w1nfnbXrl3Tza0UHx8fKVSoUJ72k98g+C09uuoJAAAgL65cuWLxvEiRIuK1HUOnd8eQfrJ09XqZ8Nm30rVDK2lY1z7t6uPjE+Sdj7/SgaDXnhkjQUGBNr+2cMEC0rRhPSlTqoR+/c69++XA4WPy7ZTfpFiRwtKyaVpTGyA/goOC5Nv3nrV4DgDebtq0aZKYmKjnAwIC5P7773d1kgAAAHLtp59+koSEtObjgYGBMmbMGHEVQwWBFNVc7J+Fy2TWvCV2CQJFx8TKWx9+IUdPnJIXn3hIqlaqYPNrG9StJR3aNJfAgACL5TNnz5epM/+Wv+YtzjEI9PaLT1tdPunHyW7ZRMfd0utOeWvTvKFH58+RPDlvnp4/T85bQGqUBKRe99hj5ox0qNo/6eeNkncAAAB3ZbggkP+NjmttHUUsO1evRcrr73+m+xp6SY0YVr1qrl5fIovRyW7pcZPMmDVPjp88ne80Ao6UmJgkS9Zs0vM+vn7SvX0LCQgw3NceAAwjLj5eIiOj8vz64OAgKVjAMU0BAQAA8stw/wbnL12VbQDGVucuXJTXJn4mkdej5OWnH5YaVSvbKYUiycnJkpySLIGBljWEAKNRI9aMffNzPX8lMloOLP+VIBAAt1G2bFlJSkrS8/7+zimyzFu80uaRTO09uikAAPBMZV1QpsmKU9/96PFTsnztBqvrVLBmyap1snbDVl3lu1+PLnl+n+OnzsjrEz/Vo3m88vQjUq1KxTztZ+XaDdKqeWMJSPchJSQmyjdTfpPk5JRcNS0DAAC5M3jwYKcfsqJFCkmTBnXy/PoqFcrZNT0AAMD9DXZBmcYQQaCtO/fIM69ZHy3LJDgoUF579rE89wekOpB8+Z0P5XpUtNSpWU2Wrv5XT+mVLhkhfbp3Nj/fs/+QrPp3kx6avmWT//pl+ey7KfLd1JlSuWI5Pbx9VEyM7D1wWK5FXhc/P18Z3K9HntIIWOu7atCDL5qfz/zyDQkLDeFAAYCTdWjdXE8AAACeyKlBoNo1qsozj95rdZ0a9aNc6ZLSvnUzPepWXiUlp+gAkLJ730E9ZVS3ZjWLINDxU6dl3pIVEhjgbxEE6tS2paxYu0G27dpr8frixYrI/SNulTo1quU5nUB6KSmpsnXXAYvnAAAAAAC4bRCoZrXKenIk1XRr1O1Dst0mY5Cpdo1q+jVVKlpW4X7w7tvkzlv7y6Ejx+XcxUvi5+srZUuXkmqVK4ivr69D0g8AAAAAAOAVHUPnl7+/n/S6qWOuXlOhbGk9WRMaEiL169SU+nZKHwAAcG+nz56Xy1euSVJycqZ1RQoVkIrly7okXQAAAF4XBAIAAHCEb6fM1P0FqiBQVhgdDAAAeGUQaOvOvTJ15t95fn2jerVl+KA+dk0TAABwH5MnT9YDPpj6DhwxYoTL0vLx15PlrQ+/kpDgIKlepZIcOHxUDzShBo7Yte+gXt6+VTNpVC9vA1sAAADPNdlAZRqHBYGOHj8pP03/K8+vv3Y9iiAQAABe7PLly5KQkKDnAwMDXZaOmNg4HQRSJn/2nly8fEUeHPuqtGjSQL6aOF4WLF0ldz/2vJQrU1JG332by9IJAACM6bJByjQODQK1ad5Ypn6Z/XDw2SkZUcyu6QEAAMiLHbv3SVR0jNSoWknatWoqf85ZZLG+e+d20qd7J/nm5xnSv+dN0qxRPQ40AAAwJIcFgUpEFJMuBHIAAICbu3j5qn6sdKPDZ1+/tBFCkxKTzNu0aFxfZs1bIvOXriIIBAAADIuOoQEPFhoSJFM/eUXPBwQE6ucA4C4efPBBMYIihQvqx4SEtLb8BcLC9OOVa5HmbcLCQvXjuQuXXJJGAABgXA8apEyjEAQCPJifn5/UrFJBz4eGpv1BAQB3ERRkjMB1lYrl9eOxk6f1Y/UqFfXj3gOHJTExSQIC/GX33oN6WYniRV2YUgAAYERBBinTuCwIFB0TK3/NXSwbt+2Uy1euSVJycqZtWjVtKI+Mut0VyQOcTjUt6NSqscVzAIAxlCpRXJo0qCObt++WvQcPS61qVaRB3Zqyfdc+uf+pl6Rh3VrmwTA6tG7m6uQCAAAYJwh06OhxufW+J+Xk6bPZbhcWGuK0NAGuFhYSLL9+Nt7VyQAAZGHMfXfK73MWyr6DR3QQ6L2Xx8rQex+XuYtX6kkZ3Pdm6dC6OccQAAAYltODQGNeeEsHgHrd1EFqVqsi//vyB+nctoXcPWygfP79VNm594C8+/LT0rJpQ2cnDQAAwKqbu7TTk0mjerVk9eypMnfJCrl67brUr11DOrdrydEDAACG5tQg0NHjp2Tj1p26ls+n77wsC5au0ssLFiygC1ad2rWQtr2Hy5v/+1KW/zXZmUkDPJJqejl09Et6/npMnMz9cSK17ADATiKKF5U7h/bneAIAALfh1CDQgSPH9GOjerUlNCRYxMdHP09NTdWPQYGBMvSWnvLBF9/LH3MWyV23UrAC8iMlJVUOH0/ryPRKZLR+DgDuYvXq1ZJ8o99A1dF927ZtXZKOv+cvlel/zZXbB/eVmzq0Fn9/xtUAAADuV6ZRnFqKSUlO0Y8FC6QNrRoYkPb2sbFx5m0qlC2tH3ftPeDMpAEupUaXWbp2s/l559ZN9GgzAODNNm7cKAkJCXo+MDDQZQWm5JQUWbh8jZ5KRhTTN6yGD+wjlSuWc0l6AACAe9lokDKN4tR/meXLltKPZ85d1I+lSkTox5Nnzpm3ibwepR9TUtICRoA3iItPkDufeMP8/MDyXwkCAYBB9O3eSUI/e1d++X22DgR98s3P8um3U6R1s0a6dlDvbh0l2EBDvwIAABgiCFS1cgUpVDBcjxAWFx8vdWpWldCQED3Sxubtu6RureoyY/Z8vW21yhWdmTQAAACrVLXt7p3a6unCxcsyfdY8HRBas2GLnl54s4AM7NNdbh/UR5dlAAAAjMqpQSDV588tPbrKT9P/0n3+3Dagt4wcPlDfTes9/EHdT5DqyLZIoYIybEAvZyYNAAAYzM0332zRft4onUE/PHK4nv7dtE2m/v6P7jPou6kz9XTfHUPk9efGuDqZAADAQG42UJnG6Z2OvPjkaLlvxFApVCBcP3/2sfvEx8dHpv05V65ei5SmDevK68+OkcKFCjo7aQAAwEBq1aolRtayaUM9jR/3iIx54S2Zv3SVnL902dXJAgAABlPLQGUapweBChYI15M5Af7+8sITD+oJAADAXRw9fkp++WO2vpF19nxaf4chwfbpG0gNmnHh0mVdTipTqkSuXhsVHSOXr1y1uk7deCt/YxAOAADgfZw7RPzhYxITGysN6xonCgYAAGAr1afhnIXLZcrMtD6BUlNTJcDfX3rf1FF3Et2pbYs8H8zrUVGyct0m2bh1h+zad1CSkpKkTKmS8snbL+VqP+s2bpUvfphqdZ1K669ff5jnNAIAAPfm1CCQGvb9wbGvSr1a1WX4oD4yqE93KVSwgDOTAAAAkKcyjAr8/D57gVyNvK6XVatcQW4b2EcPGR9RrEi+j+q2XXvl2ym/6fng4CAdBMqP4kWLSEhIcKYgEAAA8F5OLQlUr1JRGtStKdt37ZPn3/yfvP7+59K7WycdEGrTvLEzkwIAAGCTOYuWy8gxL5ibew3ue7Ou9aOGiLenAuHh0rNrB2nWqL7Url5Vhj/4ZL72d/ewgdKa8hUAAHBVEEgNm7pg+rf6bpoaTUPdTZvx93w9ValYTt9NG9a/lx55A0D+qZ7nu7Rpoudj4xNd3hM9AOTGmTNnJCUlRc/7+vpK6dKu6csmISHRKbWYVXN5U5N50wgiAADA/Z0xSJlGcUmdYBUMevP5x+Xlpx/S7eqn/j5bVv27Wd7835fy7idfS7eObeTBu4bpETcA5F1oSJBMeOHhtPnQUA4lALcyffp0SUhI0POBgYEyZoxrhl7vdVNH6d/rJnFHqnNpVegsWqQwTcEAAPDyMo3i0obhQYGBMqB3Nz0dP3VGfvn9H5n+5xyZu3ilPjAEgQAAgKsFBgaIO/rsuykSGxen5wMDAqR54/py160DpFjRnPsveu6NiVaX+/kkS7nSpSQmJkaMJjY2VjwdefQMnv45enr+FPJoDEUD8hfOKJzP15vYck1UA0mkn7flNY66iW+Y3gELFywgJSOK6TtVp86ed3VyAKfX2Jnz40SL5wAA5Ed8QoKUiCgm0dExEh0TK6vXb9ajjr370lgpboeOrAEAgPtxeRBo7catMmXm3/LPgmUSGxevlzVpUEe3uQe8heqrp0m9Gq5OBgAYSrVq1cwjZPkzqpXNihUtLE88eLe0aNJQ1wBSDh87IV/+MFUOHT0hv/45Wx4ZNSLbfbz94tNWl0/6cbLhmxgbOW32Qh49g6d/jp6eP4U8utblxCRD7CfUhnO9evXqFmUaV547LgkCnb9wSab9NVd++X22HD52Ui8rUqigHmnj9sH9pHb1Kq5IFuBxEhOTZMGK9WlPfHyld5c2EmCnao8A4Gi9e/fmIOdB4/p1Mi2rUrG8PPPo/XL/Uy/J1p17OK4AAHhpmcap/wbVXSg1LPzC5WskKSlZfHx8pG2LJnL7oD7Su3sn3UcQAPuJi0+Q5979Ss9fiYyWA8t/JQgEAF5KNbkPDg6SmJi0foIAAID3cWoQaPuufbrTZ9X3z9Bbesrtg/pKpQplnZkEAAAAj5aQmGhuBpbe5u27JS4uXsqVKeWSdAEAAC8LAlWpVF6+//gtPQQ8bfuB/6gOO/uNetb8fNa370hYaAiHCAC8SHJKipw6fVbPq2HdlaTkJDl+8rS5/7iypUuat4+KjpHLV65KgQLhulm9ycPjXpX2rZtLjSqVdAfQ0TEx+kbcvCUr9PqOrZs7OWcAAMArg0AN6tTUEwBLKSmpsmv/EYvnAABjmDV/iTz67BvSt0dn+fTtl/K8TU7UKF5PvPRWpn4UTctUc66vP3jDvG71+k0y6adp0u/mLnLXsIEWNYH+mrvI6nu0bNJQ+vW4KU/pAwAA7o8eYgEAALKRkpyih1tXne3ntE1SPkYY8fPzlfJlS2e5vnC62j5KeFiY3r5I4UIWyz9/b7ysWLteDwevgkhqv6oGUaumjaRZo/p5Th8AAHB/BIEAAIAhTZo0SRISEvR8YGCg3H///WJUMbFx5nTmVVhoqHz4xgs2b68G11BT5v2ESM+uHfUEAABcb5KByjQEgQAAgCHFxsaaC0zJyclOfe+EhES5Hh1t7ntHSUxMlEtXrmba9srVSPlr3mI9X74snS4DAADjlGkyIggEAACQwZxFy+XBsa9mWLZCT1kJ8PeXW3p05VgCAADDIggEAAAMSY2GpSbTvDMVKlhA6taspuevXY+Sk6fPSqGC4VKutGVNHx8fHwkODpIqFcvL3cP6S42qlZyaTgAAYHx+LizTZEQQCAAAGNIjjzzisvfu3K6lnpQ/5yzStYI6tW0pX00c77I0AQAA9/SIC8s0Lg0C7T90VOYvWSk1qlaWm7u0y/M2AAAAztKpbQuZN+0bKVKoAAcdAAC4NacGgXbvOyhvfviV3NKza5YBHlu2sdX1qCg5c+6iJCYlSekSxaVokcJ53tfZ8xfl4uXLUiAsTCqUK6OrfwNGFxoSJNM/f13PBwQG6ucAgNxRQ7M3yjA8OwAAgDsyXHOw5JQU/ejn65vnfcxZtEyWrV4vh44et1heu3pVuW/EUKlYvmyugj+ffPOT7D1w2LysVIni8sioEVK7RtU8pxFwBtXetGrFMno+NDSUgw4AebBp2075burvNm3btGFdGTl8EMcZAAAYkuGCQKrjRVOHjHk1ZcYsiYtPkALhYVIyorheduzEKdlz4JC89M6H8sFrz0vxYkVy3E9sXLyMn/iJnL9wScLDQnXw6Nz5izow9Mb/PpcJr4yTMqVK5jmdQPpgTbf2zS2eAwCM4cSpszJz9gKbtk1KTiYIBAAAvDcItH33Pvnl93/0/JFjJ/Xjjt375Lk3Psi07ZWr12TBsjV6vkmDOnl+z17dOkmrpo2kaqUK5mUXL12RN//3uRw/dUYWLFslwwf1zXE/cxcv1wGgWtWryAtPjJbQkBBJSUmRr376VRYtXyO//vGPPDl6ZJ7TCZioZlqTP3yJAwIABtS2ZVOZ+f3HmZanpqTKkeMn5aufpsmZcxfkzeefkMb1a7skjQAAAIYIAh0+ekK+/8WyCvXhYyf1lJXundpK/5435fk9bx/UL9MyVfPntoF95d1PJsn5i5ds2s+a9Zv146jbh+gAkOLr6yv33DZI1qzfIhu27JD4+AQJCgrMc1oBAIB1ixYtkqSkJD3v7+8vN92U97JBfkQUK6Ina9q1aioDeneT9n1vl48m/SSLZn7v9PQBAABjW2SQMo1+f0e/QcumDeX7j9/S8/9u3i5f/vCrtGzSQB68e5jFdqqj5eCgIKlSqbxUKFvaIWnx9U3rzNnURCw7iYmJcuzkad0ZZJWK5S3WqXTWrVlNNmzdISdOnZFqVSo6JL1AfkXHxMrA+57T85HRcbJo6ocSFpoW0AQAo9u1a5ckJCTo+cDAQJcWmLKjmozfNrCPfPDF9/L77AUyYugtrk4SAAAwkF0GKtM4PAhUumSEnpQihQvJwSPHpVXThtKzawdxptTUVJm9cJkE+PtL1w6tc9z+8tVruumXKe0ZmZZfuHQ52yDQc29MtLrczydZypUuJTExMeIOYmNjxVN5ct5iYmLl2vUoPX/teow+33wkVTyFJ392np4/T86bKX+JPuEO2berrxvO/OzUtTv9fF7z7oyO8cuXLaUft+3aKyOEIBAAADAmp3YMrYI/anKFqTP/1n0RPXDXMClRvFiO26tmXqZaP9aEBAfrx9j4eDunFN4oKSlZVqzfan7eoUUj8fenc2gAcBfHT57RjynpAlcAAABeHQSKjo6R8xcv21y1OqJ4Ubu87y+/z5bf/1kgtw3oI907tbPpNabRmZKTk7Mc/UMJyGEUp7dffNrq8kk/TnbLYbvdLb3ukrfrUTFy7zMTzM8PLP/VLulJTkmrAaRciYyW4OAQj/wMPTFP3pI/T85bQGqUBKRe99hj5ox09O/f31wbSDUbN0re01PpW7Nhi3w/daZ+3qheLVcnCQAAGMwtt9xiUabxmiDQwuVr5MGxr9q07S09u8pXE8fn6/3UQf52ym8yd/EKPRrYoD432/xaNby8cvVapNX1V24sL1DAMdX9AQDwdpUqVRIjmLdkpYx99b9AfXrXo6Ik7kbt4RpVK8ngvj2cnDqYxF++oB9DQ+mrEQDyi99UzyzTOD0IVLxoEWndvFGWQ6yeu3BJd1rboG5NqVGlUr6b13z67WRZuW6jjBhyi/Tv1S1Xry9YIFwKFSwgp86ek5jYWPPoYCb7Dx3Rj+XLpPUBAAAAPFN8QoLuK9CawAB/qVa5gtzUsY08fv+dEhqS1lwczhV36bzs/ehFPd/42fcluFgJPgIA4DcVrg4CqWFU1ZSVn3+bJWPHT5D2LZvJk6PvzldhbcKn38iWHbvlrmEDpN/NXfO0n4Z1a8mKtRtk3uIVMjBdLaKtO/fIydNnpXzZ0lKsqPUhYwEAgGe4pUdXPcG4AaCt746V+Ivn9HM13+iZCQSCAIDfVLg6CJSTO4b0k6Wr18uEz76Vrh1a6SBMbiWnpMjr738me/YfkuaNG0j5MqV1MChjf0PV09U0unjpipw4fUZ3GF22dEnz8j7dO+uaRL/88Y9cj4qW2jWqyelz52Xm3/P1+n43d8lXfgEAAJD/AFDchTP/LbtwhkAQAPCbCncIAimqudg/C5fJrHlL8hQESkhI1AEgZcOW7XrKqG7NavLas4+bn2/avlMm/TRNB3XuGjbQvLxqpQpy59D+8tP0P2XW/CV6MunUtqV0btcqDzkEAADuKikpSbbs2COHjp7Q86VKRkjzRvV0E3K4PgBkXkcgCAD4TYV7BIH8b4y2ZesoYhn5+flKo3q1s92mYvmyFs+LFy2qX1O2dOb+ffr16Cq1qleVFWvX6xpDqsNoVcOoRZMGeUofAACwzeHDhyUlJUXP+/r6SpUqVVx66P6at1jGT/hMTp89b7E8JDhI7r5toDz72H0SFBjosvR5ewAoOKJ02robywgEAQC/qUZx2EBlGsMFgeYvXaUfS+RxePjAgAB56amHc/Wapg3r6ikrarQPNQEAAOf5+++/JSEhbeStwMBAGTNmjMsO/7Q/58qYF97U8xXKlZZmDevpwSx27z8km7btki++/0WOnTgl3330lsvS6O0BINUPkJJ+HYEgAOA31Qj+NlCZxqlBoKPHT8nytRusrou8HiVLVq2TtRu2io+Pj/TrQX87QH75+flJ9w4t9HxcQpJ+DgDIndi4eHn53Y/0/Mjhg2T8uEclIOC/ItTcxSvk3idekjmLVsiSleukS3uai7siAGQaEUzNEwgCAH5TYYAgkBpV65nXJma7TXBQoLz27GN56g8IgKXQkCB5+5kH0uZDQzk8AJAHm7bulGuRUVKqRPFMASClZ9cOcmv/njJ15mx9Q4sgkOsCQHpZsRIEggCA31QYIQhUu0ZVeebRe62uCwgIkHKlS0r71s2kWJHCzkwWAAAwoAYNGujOlxV/f9e1YL8eHa0f69aqnikAZNK4Xm0dBLoeFePk1HkHWwNA5nUEggCA31QDaWCQMo1+f2e+Wc1qlfUEIHONnUVTP7R4DgDernPnzmIEFcqmdTh8+crVLLe5fPWafqxYrozT0uUtchsAMm9DIAgA+E01iM4GKdMovq5OAIC0vnvq1axinui7BwCMQ9UAUqOI7txzQHbtPZBpfXxCgsycvUCPEjaob3eXpNFT5TUAlDEQZBo5LP3w8WrfAOBN+E2Fy4JACQmJ8uO0P+XW+56QZt0GS6PO/aXHrffJm//7Us6ev8gnA9jru5aYKLMXr9HT9NlL9HMAQO6oIV0/feclqVShnNw+eqz8+sccOX7qjFy8fEVWrdskQ0aOkZOnz8lHb70gJSOKSVx8vHlKTEyr+g3n/1kxv4ZAEADwmwozpzdGUwWmYfc9KTsz3ElTwR/VcbQKDn374RvSvlUzZycN8Djx8Ynyygff6vkrkdHSs1MrCQwIcHWyAMCtzJq3RB4c+6r5+eMvWh8G/v4nX8607JaeXeWrieMdmj5PZK8AkPm1NA0D4MX4TYVLg0APP/OaDgBFFCsqzz52n7Ru3kjCQkNk975DMvHz72TTtl0ycswLsnr2VCkRUczZyQMAALAQFhYqlcqXzdNRKVGsKEfTRhEvv22eL54UJ69cviKlHHz0jl6+Ive8/5lc9A82L7vw2nMOflcAcDx+U2GIINCho8dl+ZoN4u/vJ1O/mij1a9cwrysZUVwHhLoNHiUHDh+V3/6eLw+PHO7M5AEuEx0TKz3vetr8fO6PE3VwFADget06ttETnEcFZcaXaCyvnN8ipZLjLPryyUttIGt3wc/6pb1H+gAQAHgiflPhsiDQgcPH9KMK/qQPAJkEBwXJ4L7d5e2PJsn+Q0edmTTApVJSUmX/4RMWzwHA23300UeSkJCg5wMDA2XMmDGuThLc8E8LASAA4DfV1T4yUJnGqR1DhwSn3WkpWqRwltsULVxIP4aGcFcGAAC43qz5S6Ri4y7yyHOv52sb5D0QpGrt5GV0LwJAAMBvKlwYBGpUr5YEBwXK7n0HsxwtY+vOvfqxTfPGzkwaAACAVSnJKXoY+OxG+jJtk8RoYIYJBBEAAgB+U+HiIFChggXkuTEPyJlzF+S1iZ9JUpJlYWrBstXy659zpH2rptLrpg7OTBoAADCY8PBwi8nIYmLjzFW84fpAEAEgAOA31UjCDVSmcWqfQKoG0IVLl6V6lUry9c+/yaIVa6V54/q66dfeA4dl3aZtEhoSIrWrV9X9AqVXt2Y1GdC7mzOTCwAAXGjUqFEue++EhES5Hh2t56OiY/RjYmKiXLpyNdO2V65Gyl/zFuv58mUdPZ6V97K1jyACQADAb6rRjHJhmcalQSDV2fOn304xPz9y/KSe0ouJjZVJk6dneu0tPbsSBAIAAE4xZ9FyeXDsqxmWrdBTVgL8/eWWHl2dkDrvlVMgSGEUMADgNxUGCQI1bVRPPn3npTy9tnwZ7qwBAADnNWFXtZCVa9ej5OTps1KoYLiUK21ZHvHx8ZHg4CCpUrG83D2sv9SoWomPyIWBINO8CcPAAwC/qXBhEEgFcgjmAAAAo+vcrqWelD/nLNK1gjq1bSlfTRzv6qQhm0BQegSAAMA2/KZ6F6cGgQA4V2hIkPzx9Vt6PjAwSD8HAOROp7YtZN60b6RIoQIcOoP/aTEhAAQA/KbCYEGgq9ci5fCxExIdEyupqamZ1kcULya1q1dxSdoAT+Hn5ycVypTU86Ghoa5ODgC4pcKFCkqjQgVdnQzYGAgiAAQAecNvqndwehDowqUr8uxrE2XukpWSkpKS5XaqI2iqXMObgjW9OreyeA4A3m7WrFmSlJSk5/39/aVfv34uScembTvlu6m/27Rt04Z1ZeTwQQ5PEzL/aXntwlb9fHxEI70MAJB7/KZ6dplGv7+z33DUmOdl/ZYd4u/vJ22aN5XSJSN0p4oZNWlQx9lJA1xGNdP6buLzfAIAkM6RI0ckISFBzwcGBrrs2Jw4dVZmzl5g07ZJyckEgVz0p+X9Mk3T5lMDXJEEAPAY/KZ6bpnG6UGgXXsPmANAf/30mTRtWM+Zbw8AAJBrbVs2lZnff5xpeWpKqhw5flK++mmanDl3Qd58/glpXL82R9hFrviHpM0kpt1pBQDwmwoXB4GOnTytH5s1qk8ACHCCqOgY6XvPOD0fGR0ry6d/IuFh9A0EALkRUayInqxp16qpDOjdTdr3vV0+mvSTLJr5PQcXAAAYllODQAXDw/Ujf0IB51B9rp+9cEnPX4mM1s8BwF0MGzZM3IEq19w2sI988MX38vvsBTJi6C2uThIAADCQYQYq0zg1CNSkYV0pEB4me/Yf0p1C+/r6OvPtAcNKTEySf5asMT/v3aWNBAS4bPA+ADCEkiXTRjd0B+XLltKP23btlRFCEAgAABizTOPUKExoSLC8/uwYOXXmnHz27RRnvjVgaHHxCfLg8xPNk3oOAHAfx0+e0Y8pVLkEAAAG5tSqBrv3HZSDR45J7RpV5c0Pv5L5y1ZLo3q1JDgoKNO2dWtW023sAQAAjCo1NVXWbNgi30+dqZ+rcg0AAIBROTUItP/QUfk0XQ2gjVt36smaW3p2JQgEAABcbt6SlTL21QlW112PijLX3qxRtZIM7tvDyakDAAAwaBCoaaN68uk7L9m0bfkyaW3rAQAAXCk+IUEuX71mdV1ggL9Uq1xBburYRh6//07d9B0AAMConBoEUoEdgjsAAMAWO3fu1ANJKGowiXr16rnkwN3So6ueAAAA3LlMozD8EAAAMKTFixdLQkJaU6vAwECXFpgAAAA8oUzDGO0AAAAAAABewGE1gbbu3CtTZ/4tjerVluGD+lgss0X61wEAABihb6CpM2fLPwuXy+FjJyQhMVFKl4iQ9q2ayX0jhkjpkhGuTiIAAIBrgkBHj5+Un6b/JdeuR5mDOaZltkj/OgB54+/vJ727tNbzcYnJ+jkAuIuWLVtKcnKynvfzc+3v17XI6zLk3sdl+659FssvXroiO/bs1ze5Jn/+njRvXN9laQQAAMbU0kBlGocFgdo0byxTv5woJSOKZVpmi/SvA5A3IcFB8tpT9+r50NBQDiMAt9KqVSsximdff18HgAoXLCBPPzxS1/4JCw2R3fsOynuffis79x6QkWNekHXzpunlAAAARizTOCwIVCKimHTJEMixtgwAAMDILl6+In/NW6JH8/jps3elRZMG5nXlypSSti2bSpeBd8mxE6dl1vwlctuA3i5NLwAAQFboGBowgNCQIFk2/VPzpJ4DAIxhx+79eljXerWqWQSATFTNn6H9eur5rTv2uCCFAAAAtmGIeMAAVLvQWlUruDoZAAArYmLj9GPJiOJZHp9SJdLWRcfG5vkYpqamyqGjx2XD1h2yaetOOXPuvJQpVVImvPpMrveVnJIicxctl2Wr/9U1mQqEh0nzxg1kSN8eEhISnOc0AgAA90YQCPBgauSaP+ev0POp4itD+nSWwIAAVycLANxKRLEi+nHfoSM6UOPj45Npm70HDuvHEsXy3ux9zfrN8sGX31ssi4tPyNO+PvzyB1mzYbP5+fWoaPlr7iLZvmuvvPH8ExIcRI1TAAC8kUcGgdTdr/0Hj+g7aRu37pAz5y5I2dIl5cM3XsjVfhavWCtf/viL1XWBAf4y5csP7JRiwDHi4xPl9Y9/1PNXIqOlX7d2BIEAuI2YmBiL567q4L5hvVpSsEC4HD95Rj7//hd5eORwi/Wqc+ifZ8zS8x1aN8v7G/n4SNVKFaRZo/rSpH4deeb1CXnazb+btukAkKr9M/ru4VKnZlU5ffa8fPHDL3Lk+En5c84iGUa/RQAAeF2ZxmODQOs2bMl0Jy05OSXX+1F3+1QfANbkZX8AAMB2X3/9tSQkpNWECQwMlDFjxrjk8AUFBsrjD9wpr038XF5//3NZvma9tGvZVEJvjA42Y9Z8XfNSjYLaqW2LPL9P2xZN9KSYhpHNi4XLV+vH++4YKi2bNtTzNauFy7hH7pUxz78hi1eskVv797JaowkAAHhumcZjg0Bq9I7a1atKs0b1pHH9OvLky2/na39Pjh4prW4UoswoOMGOomNi5abhj5ufL5r6IUMMA4CBPHTPcLl+PVo++fZnWbF2o57S69y2hXz23iviauoG1p4DhyQ4KFBaNm1ksU71L1SjWmXddO3U2XNSrnQpl6UTAAC4hkcGgVo3b6yn/N5JM/H18dEd9wKOkpKSKkdOnLF4DgAwlmceu0/uGNJPFixbrTtwTkpK1h1Ct2/VVJo2rCdGcOXqNYmLi5eqlcqLv3/mskul8mV1EEg1lScIBACA9/HIIBAAAHB/ERERkpiYqOcDDNKpvepj8J7bBoqRa5YqBcLDra4PDw/TjzE3tsvKc29MtLrczydZB48y9m1gD0UD8lcsLZzP15s4Im/2EpuP0efcBXl0f3yGxuANv6nulMdixYpZlGlseY2j+g0iCGSD6bPm6g6iVf9ApUpE6FpGfbozyhIAAI40fLhlB8ywXVb9/ajazaZmYwAAwDkGDjTODSSCQDY4fvK0ef7wsRN6Wrdxq4wf95iEhAQb7k6aI3hyRN8IeYuLi5UiBcMsnvv52me/hQr8F0G2136NwgifnSN5cv48OW+m/CX6WK+JkV+uvm6442fnyhE4nC0kOK1cEhVt/TwxLc+p/PL2i09bXT7px8kOO6aXE5MMsR93OF/cIY35RR7dH5+ha3nDb6o35NERCAJlIygwQPr36iatmzWSMqVKSFR0rOzcs09++X227gvgt7/nyZ1D+zvkgwEAAMitokUKSWBAgJw6c1aSU1LEz9cy8q+GuVdKl4jg4AIA4IUIAmWjfevm0j7d89CQEOnSvrVUKl9Oxo5/V9cGyikI5Io7aY7kbul1l7wlp4hciYw2Pw8ODrFLetR+r11Pu+ur9m+v/RqNJ+bJW/LnyXkLSI2SgNTrHnvMjJIOZB4htUbVyrJz737ZumO3RYfVly5fkb0HDknB8HApW4aRwQAA8EYe1DDEeapUKq+rW1+5ds3VSQEAALDQuX0r/Tjpp2my/9ARPX/uwkV5/4vvJSk5WTq2bZGphhAAAPAO1ATKg6MnTklsXJyUKF7M/p8IAADwStejouTBp1+2WHbm3Hm5/cEn9XzRIoXlk7f/W79oxRr5fuoM6dWtk9w+qJ95eYdWzWT56n9l++598twb74u/n58O/ihqSPvBfXs4LU8AAMBYCAJl4+V3P5JuHdpI9aqVpXjRIhIdE6MLVD/P+Euvb964vrM+JyBPwkKDZfb37+n5wKAg/RwA3MW0adMshlO99dZbxZOpAbvi4hMyLEs1L8u4Ljk5WS9LytChpWoS9uxjD8j0v+bIsjXr5eq1SF2DWZVb7rx1gISH0ZQPAABvLdP4e+qdtJFjnrdYdvrsORky6jE9X6xIYfly4mvmdQuWrZKvJ0+Xfjd3kRHp+vjZf/CI7Np7wOp7lC9bWobe0stheQDsQf0RKF0ircYa/XcAcDdnz56VhIS0wEdgYKB4uoIFwuXnL97Pcr1peHeTmzq0kQ6tW4i/v1+mbYOCAnWZRk1JSclWtwEAAN5XpvH31DtpKSkpmZablqnRMiy3T9XrMr7mjeefkIXLVsuufQfkwsXL+g912dIlpVXTRtLn5s4SHBTk4JzAW/j5+ckt3dtbPAcAeJ+QYNvLFupaEWLD9YIAEAAA8OggkLqTNv2bj7LeIMOdtO6d2um7aT4ZllerXFFPgKOFhgTJV2+P5UADAAAAABzGI4NAua1JoYI/1LwAAMBYRo4c6eokAAAAeFSZxmODQABEoqJjpNedT+lDcS0qVlb//jkdggJwGwUKFHB1EgAAADyqTEMQCPBgqn+sC5ev6vkrkdH6OQAAAADAOxEEAgwgITFR/py/0vy8/83tJTAgwKVpAgAAAAB4FoJAgAHExyfKY698aH7es1MrgkAAAAAAALvyte/uAAAAAAAAYETUBAIAAIa0YcMGSU5O1vNqFM/mzZu7OkkAAABuXaYhCAQAAAxpzZo1kpCQoOcDAwMJAgEAALe0xkBlGpqDAQAAAAAAeAGCQAAAAAAAAF6A5mAAAMCQOnXqZNF+HgAAwB11MlCZhiAQAAAwpIYNG7o6CQAAAB5VpiEIBHgwf38/6d+9vZ6PT0zWzwEAAAAA3okgEODBQoKD5KUxd+v50NBQVycHAAAAAOBCdAwNAAAAAADgBagJBBhAaEiQrPnjS4vnAAAAAADYE0EgwABUD/FVKpRxdTIAwFAuXbokqampet7Hx0eKFSvm6iQBAAC4dZmGIBDgwRISE+W3f5bq+VTxkeH9u0lgQICrkwUANvn5558lISFBzwcGBsqYMWM4cgAAwO38bKAyDUEgwIPFxyfKO5//rOevREbLoJ6dCAIBAAAAgJeiY2gAAAAAAAAvQE0gwACiomOk49BHzc+XT/9EwsMY0h2Ad6tQoYIkJSXpeX9/iiwAAMA9VTBQmYYSFWAAqo+wU2cvWDwHAG83YMAAVycBAADAo8o0NAcDAAAAAADwAgSBAAAAAAAAvABBIAAAAAAAAC9AEAgAAAAAAMALEAQCAAAAAADwAowOBgAADOmHH36QxMREPR8QECB33323q5MEAADg1mUagkAAAMCQrl27JgkJCXo+MDDQ1ckBAABw+zINQSDAg4WFBsu8yRP1fFBQsH4OAAAAAPBOBIEAD+br6ysRRYvo+dDQUFcnBwAAAADgQgSBAAPw9/eTwb07WzwHAG/38MMPuzoJAAAAHlWmIQgEGEBIcJB8+toTrk4GABiKvz/FFAAA4P78DVSmYYh4AAAAAAAAL2CccBQAu4uKjpFuw8fo+WvXY2T9319LeBh9AwEAAACANyIIBHiw1FSRq5FRev5KZLR+DgAAAADwTgSBAANISEyU32YvNT8f0qezBAYEuDRNAAAAAADPQhAIMID4+ER56o1Pzc/7dWtHEAiA11uxYoUkJSWZO1Ts0KGD1x8TAADgflYYqExDEAgAABjSli1bJCEhQc8HBgYSBAIAAG5pi4HKNB4bBEpOSZG9Bw7Lxq075My5C1KsSGG5b8TQPO3r6PGTsmLdRrl46bIUCA+T5o0bSKN6te2eZgAAAAAAAEfxyCDQzr37ZcKn3+iRkUzKlCqZp33NXbxcvps6U1JSUszL5i1ZKd07tZUH7rrNLukFAAAAAABwNI8MAl29FikxsXFSu0ZVadKgrkyZMSvPNYC+mzJDz/fo0l7q1Kgmp8+dlz/nLpIFy1ZLrepVpWObFnZOPQAAUHr27CmpN4Y19PHx4aAAAAC31NNAZRqPDALVq1VDvvvobd10Kzk5Oc9BoL8XLJWU1FS59ZZeMrR/L/PyKhUryFsffiF/zVtMEAgAAAepUaMGxxYAALi9GgYq0/iKBypcqKAOAOXX1h27xdfXV3p372SxvGnDulK2dEk5duKUXLpyNd/vAwAAAAAA4GgeWRPIHq5HRcvVyOtSvmxpCQsNzbS+ZtXKcurMOTl5+ozudBqOparORUXHWl0XFhqsg3Xpqf6gbtS2y1FiYoIEBwXaI5mwgs8OAAAAAIyBIFAWIq9H6ccihQpaXV+kcKEb20Vne4Cfe2Oi1eV+PslSrnQpiYn5r/NqI4uNtR6AcZbomFjpMOQRq+vmTZ4oEUWLWCzrNnyMXI1M+wxzclu/LvLwnQPFleLiYqVIwTCL5352qKenAlwqf0pCUop+7uxTztM/O0/+3jmSJ+fNlL9En3CH7NvV1w13/OxCrdzMAQAA8EYEgbKg+hJS/Pz8rB+4G8sTk5Ic9dkA+aZqOJmCJCEhIRxRGMrxeaMlINW2gF9uVBmY1qE/HIfPDgAAwD0RBMpC0I3mQXHx8VbXx95YHhIUlO0BfvvFp60un/TjZLe8O+mq9CaniFyJtF7rKigoOFO6rl2PyXL7jFQNGRUgceVnkTF/wcH2Tw+fnftyt98JW6kAUEDqdY89Xp6cP2fl7eTJk5KSkqLnVbPfcuXK2f09AQAAHM1IZRqCQFkoWriQ/nDOnb9odf3Z8xf0Y7EMTVngHJvnfCcFwkLNfQJltP7vr3PVJ5CrqTxsmP2NxXNP5WmfHQDHmTlzpiQkpH3PAwMDZcyYMRxuAADgdmYaqExDECgLAQEBulNoNQLY0ROnpFL5suZ18fEJsmvvAQnw95cK5Uo767NCOiqIUCA867vh4TeCDLYwQrdMKuBYvnQJ8Qae9tkBAAAAgLsgCJSNNs0a6yDQd1NnyPOPPyjBQUF6pKOfpv+pO7tt1ayRXgb3FZ+QKL/8tVDPp6T6yJ2De0pQYIB4Ck/OnyfnDQAAAAAcwSODQLGxcfLR1z+lPbnRruTy1avyzseT9HzB8DB5aOTt5u237Ngt85eukhZNGkiXdq3My3t16ygLV6zWtX4eGveqVKlYXs6cu6CbggUFBsqw/r2dnTXYWUJCokyc9KueV33yDOt3k0cFEjw5f56cNwBpatasKUk3BmDw9/fIIgsAAPACNQ1UpvHIEpUasWvDlu0Wy+Li4s3LihYpbLHu/MVLel3pEsUtloeGhMjLTz0iH371gxw+dkIHi5RiRQrLI/eO0M3FAACAY/To0YNDCwAA3F4PA5VpPDIIFBISLOMevS/L9YEBlrUFGtevo7cvXTJznyxlS5eUCa8+I8dPnZGLly5LgfAwqVKpgvj5+jok7bAuKChA3nn2QYvnniQqOkbaDnzI/Hz175/nqm8cI/P0zw4AAAAA3IVHBoFUh80tmzS0efsSxYvpKTsVypbWE1xDBe7uHtLLYw+/arV47uJli+eewtM/OwAAAABwF1RnAQAAAAAA8AIeWRMIAADAXe07eFiWr9kgFy9flgJhYdK8cQM9IqmtNm/fJbPmL7G6zt/PT1588r/mxwAAwLsQBAIAADCIP+cslJ9nzJLUdO2Cl61ZLx1aN5fH7rtTfHx8ctzH5SvXZMfufVk2mQcAAN6LkgDcQmxcvLzw3iTz8zfH3S8hwUEuTRNsw2cHIK+++OILSUhI0POBgYEyevRojz6YBw8f0wEgX18f6du9q9SpWU1Onz0vM/6eJyvWbpC6NavLTR3b2Ly/If16Su0aVS2W+TKwBQAAXl2mIQgEt5CUlCxT/1pofj7+yVEuTQ9sx2cHIK9UYclUYPIG/yxcpmsA3Tagnwzo3U0va9pQpGL5sjJ+wify94IluQoCVSxXRhrWreXAFAMAAHcr09AxNAAAgAFs/X979wEeRbU2cPxNr0BCEhJ6711EqggICAgIAqKIYO+Kfuq1XK967Q3rVRQFFRQRbChKEem9KFU60lsgtJBevuecZNdsspBCys6Z/+959tmZ2c1kzszO7pl3znnP5i3i4+MtV3Xv7LK8RZOGUr1qZTlw6IgcP3GyzLYPAABYHy2BAACAR1LNpd1Nm+jM2Xj9qFG1sgQHBeV5vUGdWrL/4GHZf+iwREaEF2idy9euk8Ur1khGRobEREdJx7atpUHd2iWw9QAAwCp1GoJAsLWQ4ECZO/ldPR0YGKjnTWJy+UwuG4AspucAyuls/Dn9HFahvNvXHcvjs99XEEtXrnWZ/3n2POlzZRe57cah+SaYfvLFN90u9/FKl2qVYyQhIUGKW0W/i6uWhl3k3zuURNmKS2JiopiOMlofx9Az2OE71UplHDVqVKH/Jjg4WEoCQSDYmkqQGV4htERPsrJkcvlMLhsA+0lPT9fPPj4+5x3aXUnLfl9+6tepJR0ubSVVYipJ/LkE2bRluyxeuUZm/r5IqlWpLL27X16MWw8AAKyCIBDgAXx9fWT4NT1d5gEA9hEQkNU0PCkp2e3riUlJ+jmwACNjdmjbOk8C6W6d20urZo3lnXFfyNyFS/MNAr3y9KNul4/7YlKJBd/jUtM8Yj1WuLFghW28WJTR+jiGZcsO36l2KGNJIAgEeAA13P1bzzxQ1psBACgjFcPDdAvHw8di3b5++GjW8qiKFfNdV0hw3pxCSqd2beSjL76Ww0ePXeTWAgAAq2J0MAAAgDLm5+urh3Q/dfqM7N6z3+W1xKRk2bxth/j7+0n1apWL/D/OJSRIckqqBATk35oIAACYiSAQbO1sfIJ0GXqfftTrMkzPm8Tk8plcNgD21OmyNvr50y+nyrmErATA6RkZMmHyt5KQmCRtW7eQgAKMKDLlh1/kRJzrUPJqaPkxYz+TzMxMadKgXgmVAAAAeDq6g8H2ziVk5VmIP2fmiBsml8/ksgEQmTVrlqSlZfXT9/X1ld69exu9W/r06CJzFy2Vbbv+lrsffUa3DDoae1ziTp2WoMBAuX7g1S7vX7Nuo8z4bYEe+r1X187O5T/++pt89/Ms3cVMDSevEkOrLmDp6RkSHBQo1w9yXQ8AALBPnYYgECxBjWQbHflPHoR8Rra1nJTUVJn842/O+eEDe4q/n5+YwPRjB6DkbNu2TVJSUvS0v7+/8UGgwIAAeebR++V/47+Uv7btlC07dunlaoSv+24doZ9zOnHylGz8a5vUrl7VZfnwIf1lzvwlOo/Q8ewWQWpI+OZNGsot118r1arElGKpAADANg+q0xAEgiWEhgTL+tmfi6mSk1PliVc/cs4P7tPVmCCQ6ccOAIpTdFSkvPDEQ3LseJwcj4uTciEhUr2q+zxAl7ZqLjGVoiQqwjVZ9ICrrtSPuJOn5NjxE+Lt7SNVK1eSEIuNXgIAAIofQSAAAAAPUymyon5cSER4mH6cj+oOph4AAAAOBIEAAIBHGjx4sGRkZOhpNXw6AACAFQ32oDoNQSAAAOCRqlWrVtabAAAAYFSdhiAQLEFFTQ8ePe6crxodWeYRVBQMxw4AAAAAPANBIFhmKPC2/W53zu9YOEXKhZLg0go4dgAAAADgGWhKAQAAAAAAYAMEgQAAAAAAAGyA7mCwNT8/X7lhQA89nZKWoedNYnL5TC4bgCzbt2+XzMxMPe3l5SUNGjRg1wAAAMvZ7kF1Gq6aYGuBAf7y6F036OngYPNyDJlcPpPLBiDLzJkzJSUlRU/7+/sTBAIAAJY004PqNHQHAwAAAAAAsAFaAgEeICQ4UNbN+sxlHgAAAACA4kQQCPAA3t7eEhMVUdabAQAepXXr1pKWlqanfX2psgAAAGtq7UF1GmpUsLXklFSZ+N0sPZ2eKXL79f0lwN9PTGFy+UwuG4AsXbp0YVcAAADL6+JBdRqCQLC1lJRUeXfCND198sw5GXltb6MCCSaXz+SyAQAAAEBJIDE0AAAAYAHJcbH6AaBscS7CymgJBEsICPCTMU/f7zJvkvhzCXJZ/zuc86t+/kRCQ8wY9tz0YwcAQGlIOnFMtr77tJ5u/cQYCYyoxI4HygDnIqyOIBAswd/PT24c1EtMlZkpEnf6rMu8KUw/dgAAlMZF57rXHpPk40f1vJpu9fgbBIKAUsa5CBPQHQwAAHgkNYpGzgdg54vOpNjD/yyLPZy17MSxMt02wE44F2FKnYaWQAAAwCN98MEHkpKSoqf9/f1l9OjRZb1JQJlfdOYOBNEiCOBchOf7wIPqNLQEAgAAACwQAAqMqqwfzvfQIgjgXAQKiZZAsITEpGR57OUPnfNvPHWvBAUGlOk2oWA4dgAAFE8ASLX6UXK+RosgoORwLsJEtASCJaSlpcu3v8x3PtQ8rIFjB6CoKlSoIGFhYfqhpgG7X3SqEcHUQ0/TIgjgXIRlVPCgOo3RLYHSMzJk647dcvxEnJQLDZGmDetLQIB/gf/+4OGjsmX7Lreveft4S/fO7YtxawEAQE4333wzOwS2kl8AyLksOxBEiyCAcxHWcLMH1WmMDQLt3rNfxowdL0eOHXcuCwkOkvtuHSHt2rQs0DpUAGjs55Pdvubn60sQCAAAAKUaAHK+RiAIKBGcizCdkUGgs/Hx8sJbH8iZs/ESUylKGtStJYePHpMdu/fKW2MnyMtPPyJ1a9Uo8PqaN2kolSIquizz8fUpgS1HaQsNCZJF0/6npwMDg/S8SUwun8llAwDYS2EvOp3vIRAEcC4ChWRkEOjn2fN1AOjSVs3ksfvuEN/sgM3X38+Qb3+eJd/8+Is89dA9BV7fVV07S4e2rUtwi1FWvLy8dAsxJTg42LgDYXL5TC4bAMA+ihoAcr6XQBDAuQjYPTH0yj/W6+dRwwY5A0DKkAG9pXxoqKzftFUSEhPLcAsBV+pzOnJwb+cj5+cWAACY6WIDQM6/IVk0wLkI2DUIlJySIocOH5XIiHCpEhOdJ49P00b1JS09XfYd+OfHNj8nT5+Rpav+kMUr1sjO3XslIyOjBLYcdqaGu3/9qXudDzUPAADMVVwBIOffEggCOBcBO3YHO3nqjGRkZkp0ZITb1ytFZS2PO3WqwOsc/9U0l/noqEi55+YbdK6g/Dz54ptul/t4pUu1yjGSkJAgVpBYxi2nkpISJbx8iMu8j7cZZStpZV0+jp11j11Jly3VK7RE1u0J36sml680y/brr79KWlqanvb19ZW+ffsWab10GYWniHrmFed0ZFqSPBt3UmJK+H/uiTspt4z5QI77BjqXxT7/ZAn/V8CzcS6itP3www8udZpBgwZJWTEuCJScnKyf/f3dDwUfmL08KTmlQOvz9vKS2jWrSeXoSnIuIVF27N4jR2OPy0tvj5UXnnxI6tepVYxbj9KmjunQu57S06fjE2XOV28788yYwOTymVw2AFkOHDggqampetrPz4/dAqOooMx/K7WWZ4/9KTHpSXqZahWkWgcVpTWQu5ZFR3yy/kfOABAAzkWUvn379klKSsoFYxWlxbggkJ9fVpFUly93UrOjb/7Z77uQOrWqy/uvPqNHGHNISk6Wjz+fIotWrJap02fKvx++cILpV55+1O3ycV9MsuTdybLa3vQMkZNnzjnn1WhQxbEtar1H487oabX+4lqvp/CE8nHsLp5Jn8mc/DLjxS/zrLH7y+TylVbZVAL4nNOeUHbAEwNBBIAAzkXAtjmBKpQvp59PxLnv7hV3Mmt5hXJZ77uQOjWruwSAlMCAALnr5uvF29tbtu/6u1i2GflT1wFVY6KcjxzXBUZITkmVTyb/5HyoeVOYfuwAACiOQJBqtePgCASp4E5+CAABxYNzEXZhXEugkOBgiQgPkyNHj8npM2edQSGHLTt26+fqVSsX+X+oBNNq9KZ01cQBpSI0JFjW/jLe2L2dkpIq/xnzqXP++gE9JMDfjK4Pph87ACVnxIgRkpmZmadVEGCaorYIIgAEcC7CGkZ4UJ3GuJZAyiUtmurk0D/++pvL8iUr1+h8PvVq15SwCuXzXc++A4fcLv/ltwX6or1alZJO5QcAgH1FRERIZGSkfqhpwGSFbYVAAAjgXIR1RHhQnca4lkBK/6u6y/wlK+Sn2fPkxMlT0rhBXTl0JFbmLFiiX7/26l4u7z9w+Ihs3b5balav4pLo+fHn35C6tWtIg7q1JbJiuJxLSJANf22Tv7bt1K9f3eOKUi4ZAAAA7N4iiAAQwLkIFJWRLYGqVo6W+24bobttLV31h3z65TT5de4CPSTbtf16Sbs2LV3ev3nrDhn7+WRZtuoPl+W1alSVLdt3yfSZc/Uw8VN++EUHgHx9fGTEkGvk8g5tS7lkAAAAsHOLIAJAAOcicDGMbAmkdOnQVhrWqy3LVv0px+PiJDQ0RC5r3ULq1qqR573VKsfIlZd3kPp1a+UZ2WvXnn2yedsOORZ7Qnx8fKRqTLS0bd1cwsMqlGJpkJ6eLnsPHnXuiJpVo/XxgOfj2AEAUHwtghzTDgwDD5QczkWYyNggkBIdFSmDru6Z7/uaNqqvH+6ooJG7wBFKV0JisnQcdLdzfsfCKVIulKGCrYBjBwBA8V185kQACCh5nIswjdFBIAAAYF3r16/XrQkV1fqzZUvX7tyAHS8+HQgAAZyLsI71HlSnIQgEAAA80oIFajTOFD3t7+9PEAi25C4QRAAI4FyEtSzwoDoNQSDYmp+fr9x0bW89nZqeoedNYnL5TC4bAADuAkHPx67T8/+NaqWXAShdnIswAVdNsLXAAH956Lahejo42LwcQyaXz+SyAQDg7uJzTJU2WdOZfuwgoIxwLsLqCAIBAACP1LFjR5f+84DdnfQNyppITSvrTQFsjXMRVq7TEAQCPEBIcKBsnvulyzwA2F3btm3LehMAAACMqtMQBAI8gLe3t0SEly/rzQAAAAAAGIwgEGwtOSVVJkydoafTM0TuHjFIAvzN6WdvcvlMLhsAAAAAlASCQLC1lJRU+eCLH/T0yTPn5Nbr+hkVSDC5fCaXDQAAAABKgneJrBUAAAAAAAAehZZAsISAAD95778Pucyb5Gx8grTue4tz/s9fP5NyoWYMe276sQNQcs6ePesyX65cOXY3AACwnLMeVKchCARL8Pfzk+v6dReTxZ9LFBPZ4dgBKBkTJkyQlJQUPe3v7y+jR49mVwMAAMuZ4EF1GrqDAQAAAAAA2ABBIAAAAAAeITkuVj9MZnoZTS8fYHV0BwMAAB4pJiZGUlNT9bSfH/nEANMlnTgmW999Wk+3fmKMBEZUEtOYXkbTyweYUKchCARLSEhMloeff885//YzD0pwUECZbhMKhmMHoKiGDRvGzgNsQgUP1r32mCQfP6rn1XSrx98wKohgehlNLx9gSp2G7mCwhPT0dJk+Z7HzoeZhDRw7AABQkOBBUuzhf5bFHs5aduKYETvP9DKaXj7AJASBAAAAAHhM8MC0IILpZTS9fIBpCAIBAAAA8IjgQWBUZf0wJYhgehlNLx9gInICwdZCQ4Jk6fdj9XRQUJAEBviLSUwun8llAwDAdOcLHqgcMkrO1xxBBKvllzG9jKaXDzAVLYFga15eXjp4oB5BgQF63iQml8/ksgGwt/hzCbJg6Ur59qdZMmveYjl2PK5M1wOUZvBABQjUQ09buDWJ6WU0vXyAyWgJBHgAPz9fuf36/i7zAGB3kydPdhlOdfjw4WK6Pzf+Je98/LkO4Dj4+vjIqOsHSd8eXUt9PUBpBw+cy7KDCFZsTWJ6GU0vH2B6nYaWQIAHUK1ZXnzsDueDrk0AIBIbGyvHjh3TDzVtutgTcfLmB5/qwE3ThvVkSP/e0rHtJZKekSETJn8nG/7aVqrrAcoqeOB8zYKtSUwvo+nlA+xQpyEIBAAA4AF+nj1PkpJTpPvlHeT5Jx6SG67tJ4/ce6vcPuI6yczMlGk/zSzV9QBlGTywYhDB9DKaXj7ALggCwdbOxidI2/536EeVtgP1vElMLp/JZQNgT6vXbdTP1w/s67K8V9dOEhEeJlu375Kz8fGlth6grIMHVgoimF5G08sH2AlBINheRkaG82Eik8tnctkAiNxxxx1y33336YeaNlliYpIciz0hMZUiJaJiuMtr3t7e0qRhPcnIzJR9Bw6XynoATwkeWCGIYHoZTS8fYLc6DdlnYQne3l5Su3pll3mTJKekyqdTfnbOqyTRAf5+YgLTjx2AkhMcHGyb3Xvy9Bn9HFmxotvXI7MDOqey31fS63nyxTfdLvfxSpegAD+ZOHGiFLdRIRdXLfXN/nlJ87+49ZRE2exUxpwy09Ik8cg+yQipJqIeqh7g5y8hVWrKzplzirbOJt3k3KG9kpGa4ly27uMPJSimhnj5lv6ljellNLV8djgXKaP1j+PIkSNLZL0EgWAJIcFBsvzHj8VUKSmp8sK7nzvnR17b25ggkOnHDgCKwz8jhrivmvn7++vn5Oz3lfR6ykKLytEX9feOVqGqxZOnskMZASuww7lIGc04jiWBIBAAAEAZcwRnUlPT3L6enJJ1xzzAz69U1vPK04+6XT7ui0n6eeTIm8TTJCQkGN+CzIpldNuV6NTuIg0RXlzdkoqb6WU0vXx2ORcLizKay14hLwAAAA8UVqG8eHl56eHd3XEsDwurUCrrAYpLceWB8eTggellNL18gN0QBAIAAChjQYEBEh0VIUdjj+cJ4KRnZMiWbTvF28tLalarUirrATwpiGCF4IHpZTS9fICdEASCJaSnp8vWXfucDzUPa+DYASiqFStWyNKlS/VDTZuubesW+vnr72dIZmamc/nMuQsl7tRpadKwvoSGBJfaegBPCCJYKXhgehlNLx9glzoNOYFgCQmJydL1uvud8zsWTpFyoVRgrYBjB6CoVq5cKSnZOWxUrpv27dsbvTP7X9Vd5i5cJguXrZLDR49Jo/p15fCRY7J63Ubdxeu6a/q4vH/n7r2y6s8N0rhBXWndvEmR1wOUdhAhZ0DAEURwFxCwYvDA9DKaXj7ADnUaWgIBAAB4gIjwMPnXA3dI+dBQ2b5rj/w063cduPHz9ZU7bxomTRvVd3n/rr375LsZs2XD5q0XtR7AE1uTWDl4YHoZTS8fYDpaAgEAAHiIFk0ayoevPyd/bNgssXEnpVxIiLRu3lgqhofleW/92rXkhkH9pEG92he1HsDTWpMoVg8emF5G08sHmIwgEGzNz89Xbr2ur55OTc/U8yYxuXwmlw1AliuvvFIyMjL0tLe3fRovBwUFSqd2bfJ9X51a1fXjYtcDeFoQwTFt9eCB6WU0vXyAqXUarppga4EB/nLfqMF6OjjYvBxDJpfP5LIByNKsWTN2BWCw8wURXN5j8eCB6WU0vXyAiXUa+9xWAwAAAODx+WVMCx6YXkbTyweYxvggkBoa9VxCgqRnN70q6/UA7oSGBOkRzxwPNQ8AAGAH7oIIpgUPTC+j6eUDTGJsd7DExCT58tufZNHyVZKQmCS+Pj7SpmUzuWX4YImKqFjq6wEuRA3Zy5D3AADArhxBhD9ffUTPmxg8ML2MppcPMIWRQSDVWuelt8fKlh279HxIcJAO5qz8Y70eTvX1Z/4lFcqXK7X1wHMlp6TKx19N19NpGZny4C1DJcDfT0xhcvlMLhsAAHakAgaNRr/onDaR6WU0vXyACYwMAi1YslIHbqKjIuXxB+6QmtWryqnTZ+Sdjz+XjVu2y7SfZsrtI64rtfXAc6WkpMq4yT/p6ZNnzsndNw40KpBgcvlMLhuALEePHnXZFdHR0ewawHABFaPEdKaX0fTyAVav0xiZE2jBspX6+a5Rw3TgRgmrUF5G33Wz+Pn6yuIVayQ9Pb3U1gMAAApvypQpMnHiRP1Q0wAAAFY0xYPqNMa1BFJduHbs2qO7bjVv3NDltfAK5aVxg7qy4a9tsv/QEamVHdgpyfWg+IYD/+jlR13mTXI2PkGa9xrpnN84Z6IxOYJMP3YAAAAAYBXGBYHiTp6S1LQ0qV2zmnh7523oVK1KZR28ORp7/ILBm+JaT1kFFM6eSyjQe/38fCUyvIJOTOyQlJwicafOuLwvOTlZQoMDJTi4bAITajsHXtVF54FR3YDUNqpHftQoWznLpkZ5iz+X6Jwv6H4qDTnLU9DtskL57HDsHGUr8HELDhJ/fz9nQMxRtuTUrPV4ynlX0t8pph87T2DysQMAAEDhGRcESkzKqpyGnOeiyTH0tkrwXBrrefLFN90u9/FKl6AAP90crLht3JqVyLqgmjeq6zJ/9HicHDt+0mWZj4+Pfm5Sv5aUpaPHT8qx43FFLpu7/XNN58b6WXXt++7bqW6DfiUtIyNDbrqqtXP+7XffN6p8Jh+7opRNqRQRLtFRFS943nrKeVdS3yl1ItqKlxR/l9qVhfheLclj5wnls/qxUwGpgIAA53xRfzNHjvynpSUAAEBpq127tqSlpelpX9+yDcMYFwTyzr6DqS6q3cnIzNTPOe90luR6gIJQn6NKkRULfTEKWNnuEz7SpH7eYJ8pTC5faZUtLCysxP8HAABASRswYIB4CuOCQCqHj3I2/pzb18+ePefyvpJezytP/5MLJadxX0zSzyNH3iTFLaZN4T5gB194xtniQHntwy9l0ux5Lu8JLx+in1994RkpS298PFkmffV7kcumWoxUvWyQ27KpEaZ2PPV4mebiUeUbM26KkeUz+dgVtmzKg7cMcbZOcFc2Tzrv+E5xxbHzjM8lAAAACs8rUyU0MMyIex6V9Ix0mfjBG3oUr9zds7bv2iPvv/KMVImpVCrruVAQ6M5RN1kqJ1BUZIR4Qv6Ogsovr4ySlJQ1HxgYlOf9pc3k8tmhbCWVE6iszzs7fKdw7Kx37FA2SrL+crESErK+p8o6j1pJooxmMP04ml4+hTKaIcEGn1VbtARSmjSsJ2vXb5KlK9dK107tnMv3HTwsO3bvlYjwMKkcHVVq6yltqjXExbSIUBemVaIj3Z4gZS3A308/ikpd3OTeNz7ZaWQ84eQ3uXx2KFtRzztH2crlWu4p550dvlM4dtY7dgAAACg8I4NAV3XrrIM347/6Vl9cNW5QTw4fPSqfTJqq77j36tbZ5U5nckqKJCQmSaC/vwQFBRZ5PQAAAAAAAJ7KyCBQm5bNpFvndjJ/yUp57xPXkUQa1K0lA3pf6bJswdKVMm7iNzLgqu4y6vpri7weAAAAAAAAT2VkEEi579YR0rBeHVm4dJXExsVJuZAQuax1C7mmbw/x93PtkhLg7y9h5ctJUFDQRa0HAAAUn/Hjx0tKSoqe9vf3l9tuu43dCwAALGe8B9VpjA0CqW5aPa/opB/5Ufl+cub8Kep6AABA8YmPj3epMAEAAFhRvAfVabLTqgIAAAAAAMBkRg4RbwWvvfO+pKamSqVKnje6mDsZ6Rn62dsxHJNBTC6b6eUzuWyml8/ksplevtIs25HDhyUju5ri7eUlMZUrF2k90VGRck3fPsW8dfbkyfUXk887B8poBtOPo+nlUyijGTI8vE5TUvUXY7uDebqgwH9GIbOCA4eP6Oca1aqIaUwum+nlM7lsppfP5LKZXr7SLFtRgz6wZ/3F5PPOgTKawfTjaHr5FMpohgM2rdMQBCojD959h1jJky++qZ/vHHWTmMbksplePpPLZnr5TC6b6eUzuWywdv3FDp9NymgG04+j6eVTKKMZnrTBZ9Udc9voAQAAAAAAwIkgEAAAAAAAgA0QBAIAAAAAALABgkAAAAAAAAA2QBAIAAAAAADABrwyM7MHqwcAAAAAAICxaAkEAAAAAABgAwSBAAAAAAAAbIAgEAAAAAAAgA0QBAIAAAAAALABgkAAAAAAAAA2QBAIAAAAAADABnzLegPg+VJSU+XQkWN6ukpMJfH38xOTHDkWKydPnZFy5UKkWuUYMUV6errEnjgp8fHnJDy8gkSEh4lJkpKT5cix45KZmSkxlaIkKDBATLT/4GGJP5cgISHBUqNqZbGyXXv2SUpKqtvXIiPCJSqiopji+ImTcvrsWakUGSHlQkPE6mWJPRF3wffEVIqU8LAKpbZNQG6JSeo3IVZ8fHykSnQl8fX1MW4nJSQmyr4Dh/XvXqP6dcTLy0tMkpqaKkdjT0hySooR353nq5sdOx4n584lSEREuIRXKC8m27pjt/68RkdFSEUD6qEHDh+Rs2fPuX1NfV6rVTHnOkJJS0vX36vqc6uuAf0MuAY8dfqMHD4ae8H3mFYndYcgEC7o+xmz5Ydff5OExCQ9HxQYKAP79pAh/Xtb/kt83uIVsmbdRjl4+Khe1v7SVvLYfbeL1W3aul1mz1sia9ZvdLngrl61sowaNkhaN28iVrZg2SqZu3Cps2Kh+Ph4S/s2reTW4UMkzKAKlfrh/dfzr+vj2KpZY/nPI/eJlb01doIO3Llz3TV9ZNjAq8XqVv2xQb78drrze0Vp0aSh3Hz9tVKzelWxogVLV8rXP8y44HvuuWW49OjSsdS2CXBQFydfTpsus+Yvdv7mqYux4YP7S6+unS2/o5KTU2TuomW6vvLXtp2Slp6ul3897m1jbsotXrFG5i9ZIRu3bJeMjAzn8qaN6sttw4dY9rszp+279siM3+bL6j826JurDnVr1ZDbbhwiDevVEdOoz+3Yzybr6VtuGCz9enUTq/v6+xmyYs06t6+1bd1CnnjwTjGB+oxOmz5TZs9fLOcSEvUyf38//Z06/Nr+EhDgL1a1Zt0mGft51ufyfG64tp/lr3XzQxAIFwwAffXdz3q6auVofcfpwKEj+gvQ28tLru13lWX33qJlq2X6zLl6Oqx8OTl15qyY4qdZv8va9ZvF29tbKkVFSEhQkG7JpVqUvPzOR/LUQ3dbOhA06Zsf9PEKDgqU6KhIZ4ugpav+kL0HDsmbzz1uxJ0K5aMvpkj5cqG6JYYp1EVLnVrV8yyPrGj9Oy6z5i2STyZN1dOhIcG6hdqpM2dkw1/bZMXadZa9kFF3xFSrA3d2/r1PMjMzpG2r5qW+XYAyYfK3MmveYl1HUeeYCpqoAPrHX0zR3zddO7Wz9I6KjYvTZVTU7553uvd5W1Ra1cSpP0rcyVPi5+urvzfVjZ3DR47J5q075OlX3pE3nvuXXm5l6mJ66cq14uvrq1uLqHr0kdjjuoXsc2+8L688/ajUsuhvhDunz5yVSVN/1L8fJtVhHBrWrS1e3q4t8aob0gpItf5R1wsb/9qm51VdW9Vp1LXEjDnzpWfXTpbuORFWodx56zR79h+UpKRkfWPZdASBcN4v72k/z9I/xI8/cKe0adlML/9z41/y6rsf69eu7NJRKpQvZ8k9qH6Abxp6jVzaqrmkpqXJo8++KqZo1qiBXNGxnbRt3dx5l/BcQoJ8MP4rWfnHevn+lzmWDgL1uKKTtGvTUurU/CeQoIKTL709Vj+rCH+Htq3F6tRd0S3bd8kj99wqr70/TkxRMbyCvPTU/4lpVJD1s8nf6Yr9LcMHy1Xdu4iPt7ezdd65c1l30qxIXUS7u5BWF9r3P/G8/h616m8BrE1958+Zv0QCAwPk2UcfkAZ1azlbr73/6SR9EdqpXRsdXLCqQP8A6dvjCrm0VTNp0rC+PPbca/r7xiSXt79UWjZtKM0bN9Q3sBTVZer198fJ3/sOyC+/LdStZayscf260rFta2nZtLGzq6Lq6v3BhC91C9Jff1sg9956o5hi/ORvdcvsK7t0kC+m/CCm+c+j9xubhuDHX3/TASAVwHvs3tulXp2azu6acxYs1d9JVqbqLJe6uXF1Nv6c3Pl/T0v9OrWM69bnDomh4dbqP7O6El3R4TJnAEhRwYNundvr11RAwaq6dGgrA/v2NPIkH9D7Sul02SUuzcRDgoPlnltu0NNH8ukH6+lUE82cASBFHUdHs/9jx0+I1Z05Gy9ffPODDOrbU3fjg+dTd8dUNw3V3L1vj67OAJAjMKsCl6aZu3CZ7pJ55eXty3pTYFNLV62VjMxMfd45AkCKClpe0qKpbjW6YXPW3WyrUhdit904VAcPrBzMupCR1w3U5XMEgJRKkRVl5LBBzoCz1fW4oqOuT+fMVaVaVwy7pq+ePpZP3jUrUTeMl6/6Q+65+Qbx9THzM2sqFehR3RYVlSLDEQBSVCv7q3t21d9JJlq4bJXuBtfdJnUagkBwa8ffe/Szu0ipamGi7Ny9l71nIerLW7VSMPXL25G4ViWus7rPp3yvW1YM7m/dLpf5tTRU3x+qabEjr5PVrd2wST/37dlV0jMyZN+BQ7pZsapQmZqHZcGylbo7rbrYBsrCjux6SNuWbuoq2fWXndn1GVhPgH/WzSxT6y0udZdo69ddFNUdc9zEb6RXt8ulUf26YqqkpCTZ+fde2XfwsO4+ZYrtu/fqFjEqR1W92jV1MnrVZdGEQGx+fl+0TOc96tyujdgB4Vm45ei/Wzk6bx/sytk/VPmNFgPPMuv3RfqOqQmJMh1JFtWFqPqxWr95i8xZsEQ3t87Zcs2K1m/eKouXr5YXnnzYyLu+qon/7Q89pT+Lisp5dE3vK3ULtpx3ga1EfQbVCINqNBsV4Hru9fecCbAD/P31nbPrB12tRy0yxZr1m3SZ1XEzqVywluNx2XWVGDd1lewbAtRVrOvXuQv1zaueV3QSUxw6clROn4nX+QxVVzeVx7F8aKj+LjXBlB9m6LrZiCEDxGR3P/aspKWlOX/nVbe34YMHWL6L2P6Dh/RzkwZ19Wdzyg+/6NH6HLmBVLdMq9ez3dm+628d0FM9RYKDgsQOzLvCQLFQP05KUFBgntdUYsKc74HnU317v/7hF7nskha6O58JXn5nrL74dujd/XLddNyqgQRF/dCOmzgl+w6aeSOFKKrlT2TFcN0MXnXdU13fJk2broMmd9+c1WXRalTOLUXdQXphzAe6ObFK8KlG1FAXoCoPl7qbdsdNw8SkrmDKlZd3KOtNgY2pBJ6OkUvPW1dJyrqAgbXM/H2hLFm5VneXyt0F3MqmTZ8li1asds6rFhej7xypL7Ctbvfe/fLL3AXyr/vvcHv9YJLQ4CA95L1KaK66naqA5a49++WFJ0Zb+saIylOlqBF4t+zYpW/UqcGBjsYe149X3xsnzz52v+7mbpLfsus03W1UpyEIBLcc+SzS0/8ZqtNBdXXQ77Hwl5zdAkCvvvexNKpXRx6682Yxhcr/EH8uUQeCjsUe16PDqCDK3aOGu/S5txI1HKdqVmzqHbTe3bvoZrbhYRWc3yWLlq2Sjz7/Wn5buFR6X9nFkqOjeHv7OJPUNm1YTx659zZnouS16zfJ6+9/opPXDurby4huDSfiTsq6TVv0OWhiXjVYhxq8wvFdkvsGgKP+4ngPrDWS1vivvpVe3TrL0Gv6iEmqVK6kb/IkJiVL7PETsm3nbhnz4Xh57P47JCrCuqNkqnPwo88nS/tLW7tNJWGKS5o3lRsG9XP57VMjgL790Wf6WC5escbSIxL6ZNdnVABI5eC89upe+rtVdW3/7Ovv9bmpWge9+KQ5QaDExCRZtmqtHlG5WaP6YhcEgeBWaGiIfj51+ozEVHK9O6GW6feEZL0Hnksl73577GfSqEFdefLBuyQgwF9M8dRD9zinVRecjydOkflLVkr1KpXlmj49xGpUDpmfZv8uA/v01LlkHNRdJkW1KlGjhZULDbHshXf/q7rnCTarlml7DxySn2fPk01btlsyCKSOicPN1w92GSlLNZu+vMOl+rO5bdffRgSBfl+8QjIyMoxpVQjrUueeakWo6iW5L6Cpq1iTajn51bc/6da9t4+4Try8XIfhtrqhA/roh6IurFULkolTf5QPJnwlzz32gFjVzLkLdd3l2quv0nUVB9V6JOv5hF4eEx0l4RXKi1Wpbl+5tWjSUEZdf628/8lE2bhlu6WDQI76jMqvOaR/b5e8oqor2KLlq3XXKVUHsHLL+5wWr1wjSckpck2n9sZ931wIQSC4Va1yjKyU9TrpWe5uKY5EjNUqR7P3PNi8xctl7OdfS/PGDeTxB+/UfZZNpS66bxo6UFauXS9/btpiySCQuuui7lx/N2O2fuS2Y/ceefqVt6Vt6xbyxIN3iknUKDA5u3ZYjcoBoII7KpdaeFjeym14hayWT8kGdKFVFT/13aK+T+ySPBGeq2rlGF0nUXWV3EEgxwAX1apQV7FKV+GJ3/wgP82eJ317XKFHRDOdurBW9RWV03Dz1h06KKSWWdGmrTt0HeaNDz51+/qvcxfox50jh8lV3S4X0zjrMRb/na9eNesmY5ibQJ3qAVKuXIgci02S1LQ0Y64r5i5cpnOPdets3eBdUZgRwkOxa9m0kX6eu2iZPtEdVFcV9WOltGremD3voVQyN3VXSR3HJ0bfZcwXtWqyqS5C3dmz74B+zjk0t5WoQIEKuOZ+1K2VlQshJDhIz1e3aCsg1ZLJHfX9smTFWj0dHRUhVtW6WRP9vHb9ZpflKkGmGi5Xia6UN3mtFROXqzxH7S9tZZvkifD8usrseYtdRhpUvxULlqzMfg91FSt0Jfpgwpc6AKRajJoWAFKfTZUXzh3Vklkl2VcNEKzcskLVTdzVYRy5jlRXGzXvuCliRSrAo37T3XF831g9t5MaEUzlbPx77wE5eep0nhbrscfj9M0uU64r9uw7oEc/a96koaW7YxYFLYHgVpOG9aR2jWp65IKX3h4rV/e4QtQvlGruuXf/Qf1a04bW7TepLkjVl5lyOHvYQ5VbxtGENSQkWGpUrSxW9O3Ps+Tr72fokd3UqEu7/t6X5z2NG1hz2M4NW7bJF1N+0E1tVaK68qEhcvZc1nFTAUtFJb+2IrXd7rb98NFYuf+J/0r9OrXkP4/cJ1Y1f8kK+X3xcunSvq3+bAYGBughR39bsFQ3IVejo7RpZd0RJ9QIYKp84ydP0wmv1TmWkJAocxYs1d+jqltto3q1xeoc5xldweAJVDDyy2nTdReMNz8crxOVq9xw02f+LnGnTkublk11twar27l7r/OGnGOknm07dotv9giSKj+XlfM0vjV2gqxYs05fiLW7pKVLdyJF/V6oeqdVqWN31yP/kSs6XiZ1atXQgyOolqGqK7RqhaCOqWrla+VjeON5chmq7m7jv5omV/foKv16dRMrUy0O3xs3Uf/+qW75KmnyiZOnZMmKNfoGiQride14mViZ+gyqY/XN9F/lP6++o1MUREWGy4FDR+WHX+fogOYVHdsZlxC6mw27txMEgluqT+ToO0fJM6++qxMLq4eDulhTr1m53+Tf+/bLs6+957JMNcVV3W2UVs0aW/aCe9Uf653Bg+feeN/te7777H9iRcGBgboVwjc//uL2ddWU06ShZE2iWjKpwOuX30532wf90ftvt3TLkupVK8vtI4bKp5Om5unOp74zH7nnNktX8B13rNf8udF2yRPhufz9/OShu2+Wl976UAcR1MOhUmSE3DXKmiMO5vba/z5x5odzyPn7/tl7r+oLUqta9ccG/Zy7vumgcsWNef5Jsaqs+rKXzPx9kdvXVfnuGmnO6JGmCgwI0L+D6mZrbn6+vrqrW41qVcTqBvXrJdt379GtmMd+PtnlNZViYtjAvmKC5JQUWbxita6ftmvTUuyGIBAueFHz9otPycx5i5ytSdQwnX16XGHppG6Kuti80BDcVm0FpNSqXs2yfcrzo+4Sfvzm87JoxRrdhFPd6VU/yqoZcrs2rfTdUNOoYcfVZ9XKn0nHXZaG9WrLouVr9ChaquWdumhRy9Td0ZzJla1K5TlQTal/X7RcDh09piuFqgXXVd06uySLtqqtO3dLvTo1pUuHtpa+CQCzNGlQT9564Sk9QqRqqayCreo7U41GqCr3Jqhfu6aczs454o7VA8yN69dxjjzrjmo9amXqt+DTd16S5WvWyZZtO3VrUfUdqrpAt2jSSLcCtvoxPJ+KYVld3SuGW7cbmIP6ff94zAuycNkq2bPvoK6DBgUF6m77qh6jAs8mUJ/Xpx66W490tnrdRjlzNl7CypeTS9RAF+0vtWzahdx2/r1PX+u2bt5E31CwG6/MnJ2oAQAAAAAAYCQzQnkAAAAAAAC4IIJAAAAAAAAANkAQCAAAAAAAwAYIAgEAAAAAANgAQSAAAAAAAAAbIAgEAAAAAABgAwSBAAAAAAAAbIAgEAAAAAAAgA0QBAIAAAAAALABgkAAAAAAAAA2QBAIAAAAAADABggCAR5izoKl8uJbY2Xbzr9L5e+Q5ceZv+v9t3f/QY/eJVY5zp9Mmioff/GN2N3k72bI2x99LpmZmWW9KQBQoqi/lA3qL8WL+ksW6i/24FvWGwAgy+Lla+STL6dJm5ZNpWG92iX+d8jy24Kl8t2MOdKtczupWb2qx+4WKxznZav/lP+8+p4899j9bl9PT0/X71m3aaukpqZJnVrVpWeXDhISEiyebNzEqXLs+Il83/fUQ3eJt3fWvZWgwAB57f1PpVb1qjLo6p6lsJUAUDaov5QN6i/Fh/oL9Re7IQgEeIhe3TpJpciKeS7wZ/6+SNau3yzDBvaV+nVqFvjvULD9ZxWefpxVi5fn3vifREVUlFHXD8rz+qEjx+SWB5+S9Zu3uixX7x/7xnPSud0lHntMv/ru53xbYFUMD5N/P3y3c/6aPlfKWx99IS+/O0769rxCAvz9S3w7AaAsUH8pGdRfSgf1F+ovdkQQCPAQl7e/VD9ym79kpUycOl0uu6SF2wve8/0dCrb/rMLTj/PiFWtkw+Ztcv9tN+pWMDmlpaXJTff+SzZv2ymREeFybd+eEhIcJLPmL5Et23fJqPsfl7nffia1a1bzyGN618hhciLupNvXZi9YKmvWbZKh/a8SLy8v53LVImjEkP7y7Ovvy8+z58uQ/leV+HYCQFmg/lIyqL+UDuov1F/siCAQAOCiqaCMMthNsGPqT7N0ACimUqTMnvqpREdF6uX/d88tOji0YNkqefPDCfLBa8945JEYPrif2+UZGRnyRXa53b1nUN8e8vyYD2XS1OkEgQAA8EDUX6i/2BFBINg2md6mLdvlpqEDpEpMtMxfskL+2r5L372/tFUz6di29Xn/NvZ4nMxbslL2Hzosvj4+0qBuLenaqZ0EBwW6ff/pM2fl90XL5eCRY/qisUbVytKhbWt9QZw7seKqPzbI0AG9nV1+Xnn3Y/ljw196eur0mfp1hztuGqovpt39XVG3N+d+qV61sixavkZ331Hb3aJpQ+neub1La4eCKqttKMj+y0n9j8L8v8SkZFm8fLXuKpSYnCJVoqPkik6XSfUqMYXaPznLXK1KjCxesVY2btkuZ87Gy8N336z30/mO88Xsr607d8vCpavlTHy81KxWRXp3v1xCQ4Ll5Xc+lgrly8kDt48o0PbHn0uQ2fOW6Pw3jevXyVu+X+fqZ9VKKOc+9/PzlWcevVcWXLtKfv19kd6fuVsRXcwxLey5Wljzl66UA4eOSNtWzd2ee5WiIqRNiyay8o8Nsu/gYX3uA8DFoP5C/YX6C/WXi0X9BQSBYOtkek0b1pPbHnpaNm3d4fJ6t06Xybi3XpByoSEuy9//ZJKMGfuZJCWn5Mlr8u5LT0n3y9u7LP/s6+/lhTFjJSEx0WW5n6+v3HvrDfLk6LsumFjxf+Mn62S6yow5C1zWMbBPD33Be6GEjIXdXsd+adWssTzw5Iuy6s+NLq93aNtKJn80Jt8LdU/ZhoLsP4eTp87IwJH3Ffj//Tp3oTz+/BiJPRHnstzHx0d3H/rPI/cUOFjlKHOzRvXljkee0d2qHO4cOUwHLc53nIuyv1T/92dfe1+vL+foVREVw+TTt1+U/43/SgejChoEWv3nRklNS9Pb5s6fG7fo59zHWmnSsJ5UiamkcwZt3bFbWjdvXCzHtLCfu6KYNPUn/XzjkP7nfU/rFk30MVm26k+pMYggEICLQ/2F+gv1F+ovF4v6CwgCwdaefvVdOXcuQQb366Xv0u/au19f3M9fukpG//slmfDuy873Tpj8nbz0zsd6Wt35v+yS5pKQmCTzlqyQvfsPyc0PPCkzJn8kLZo01O/Ze+CQ/Pvld3SLDNWySF0g+/n5yb4Dh2T56j/zXKy78+ToO/X2qJYP113TR+rXruF8LTpXS6LcCru9Lv/3xbfkXEKibnWiWpeobf5x5lxZvnqdfDhhsjxy7y0F2r9lvQ2F2X+F+X+/LVymg4eq5dgVHdvqQIYK1Kgy/Tp3kXz42WSpUD5URt85Ugrj36+8IwkJifrzWKdmdfH38y1wq5XCbP8HEybLuElT9XSXDpfqANKp02d0a6PbH35aCmv1uk362d1xPB53Us7Gn9PBMdXayJ26tarrINDe/QfzDQIV5JhezOeuoA4fjdWfAxUoHtC7+3nf1zL7f6hA2fWD+hb5/wFATtRfqL84UH+h/lIY1F+gEASCrSUlJcvMbz516cKikrwOGnW/vphX3WpaNm0kySkp8uYHE/Trjz9wu+6i46AuLm8b/ZQOHL363icy+aM39fLtu/boAJDKC6JGP8qdKFcNk50f1X1GXcyrC95+vbpKr66dClSuomxvTj4+3rL45y+lauVo57KeXTvKXY88KzN+W1CgAIwnbENh9l9B/586pv9++W0J8PeTbye8p7sP5qSCf32uv1O3prnn5hvE399PCio9LV3mff9FgRMkF2X7k5KT5X+ffqmnX/3PI3JzjpG81OhWQ28bLSfiThXqfx86clQ/R0WE53lNBVkVlQhaBYLcKV+unLNb2cUe04v93BVmxDDVIkmd3xcK1EVFVnTZRwBQHKi/UH9xoP5C/aUwqL9A8WY3wM5uHzEkTw4TdVE/bGAfPT1v8Qpnd5a4U6d1zpPcrTvUBaC6mFaWrvxDX4QqDerU1C1FVMRdtYTIydfXN0/woDgVZXtzX2jnDCYo/Xp21d3Y1AW4VbahMAr6/zb8tV32HTgsUZERMnfhMnn13XE6T416qFw6X077ScLKh+pjvmP3nkJtg+r6VZQAUGG2Xx2XU2fOSuMGdV0CQIrKA5Szi2JBxZ08rZ/DKpQv0rZnZmbo56Lkmyruz11BqODP19/NyLcrmBJeoYJ+PnGycIE1ALgQ6i/UXxyov1B/KSjqL3CgJRBsTbXycUd1j/ny25/lwKGsu/cHD2c9q0S7KrCTW83qVXU+FdWCQiWjVflU1LIXnxwtL4z5UJp36S+XtGgqzRs3kEtaNpFundpJ+XKhJVauomxvTiqBbm6qFYe6yD95+rRltqEwCvr//t67Xz/vP3hY3hk38YLrPH02vlDb0KxRPSnp7XccF/VZdKd5E/fLL8QRvMmUf/ILOYRm59VSXdVUCzgVAM3t9Jms/RQaGiwX62I/dwXhSPSucjid7zvEISM7wCXFEOACAAfqL9RfHKi/ZKH+kj/qL3AgCARby8jIe9GqpGc4WibkWp6ecf51pedtzXDr8MEysG8PWbBkpazd8Jes27RFPp/yg3j7eMvTD98jt904WEpSYbfX4XzddpQceYQtsw0FUdD/l5E9o5KKD+xz5QXXWdjRoEJCgkt8+x37WnVru9AxKQwVVFFOnT6b97XwMJ0fSQV6du894LayuvPvvfq5do2itYIqzs9dQUycln9CaAeVa8mxHwCguFB/of7iQP0l+5yg/pIv6i9wIAgEW3PkFXG3XHEksnVczKscQampaXpo65x2/r1PTp4+o0dgqhQZ4fJaxbAKcm2/XvrhGDJ+yK2j5elX3pHO7S5xO7S0C8eFaiEiHxezvcXFE7ahqPvvQhyBiviEBLnvthvdtjbxZI7h69dv3qZHBssdCFm3Of9cVblVq5y1ziPHjrt9vU3LZrprpUqknDsIpHJjHY09oYemz/dcKMAxLenPnWpppMqi/l4l8M6PKlvO/Q4AxYH6C/WXwqL+khf1l/Oj/mI2a129AMXss6+/cwZ8HBYtXy3f/jxbT/e4oqOze5gaWvrAoSPy6nvjXFpRnDkbL4/993U9fUXHy5wXnZu37tAXormpbmCRFcP0BfjWnbvz3cbQ4KzWIYeOxha4XEXZ3uLmCdtQ1P13Ia2aNdL5ZtQoU0+8MEYSk5LzvEcNNz9r3mLxROq4VAwP0/mKxn7+tctrsSdOyivvjiv0Otu1aaGf3X3eFUewRI1KphJnO6h999zr7+tpFYwN8Pe/6GNa0p871U1UrbNfr24F6tLpSADfrk3LQv8vADgf6i/UXwqL+kte1F/Oj/qL2WgJBFtT+VIG3HSPztFTo1oV2b1nnyxYtloHaNSFq0qeq6iLRTU09f8986q+kJ23ZKW0bdVMjza0eMUaHS1XLQMef/AO57rXrN8sjz/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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "Slide then filter, or filter then slide"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Largest gap between the two orders:** 0\n",
       "- **Filter weights:** [0.25 0.5  0.25]\n",
       "- **Output at position 6:** 1.25"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Sliding by 4 and filtering give the same eight numbers as filtering and then sliding (largest gap 0), and here the pattern runs past position 7 and wraps round to 0. The ring has no edge, so nothing falls off."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Output at position 6 adds input[j] times filter[(6 - j) mod 8] over j. Nonzero terms: 0.5 + 0.75 = 1.25."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = shifts_picture(**{'shift': 4, 'filter': 'smooth'})\n",
    "buffer = io.BytesIO()\n",
    "figure.savefig(buffer, format='png', dpi=140, bbox_inches='tight', pad_inches=0.16)\n",
    "display(Image(data=buffer.getvalue(), alt='Slide then filter, or filter then slide'))\n",
    "plt.close(figure)\n",
    "display(Markdown('\\n'.join('- **' + str(k) + ':** ' + str(display_value(v)) for k, v in values.items())))\n",
    "display(Markdown(clean_display_text(explanation['summary'] if isinstance(explanation, dict) else explanation)))\n",
    "if isinstance(explanation, dict) and explanation.get('calculation'):\n",
    "    display(Markdown(clean_display_text(explanation['calculation'])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80b96ca2",
   "metadata": {},
   "source": [
    "**What happens:** At Slide by (places) = 6, Filter = smooth: Yes. The bump and its smoothed copy wrap round the ring, and both orders give the same eight numbers (the diamonds sit exactly on the bars). On a ring there is no edge to fall off.\n",
    "\n",
    "**Takeaway:** On a ring, filtering and sliding can be done in either order with the same result, even when the pattern wraps round.\n",
    "\n",
    "**Use the idea:** Convolutional layers in image, audio and text models rely on this: a feature found in one place is found the same way in another. Padding and cropping at real edges can break the match.\n",
    "\n",
    "**Where it applies:** Cyclic domain of length eight, with the same index convention and filter in both orders. The difference filter is a convolution with weights (1, -1), not a cross-correlation. The input bump (0, 1, 3, 1, 0, 0, 0, 0) is a toy signal.\n",
    "\n",
    "**Check your understanding:** Why can a cropped, zero-padded image break exact equivariance?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "Values slid past the crop are thrown away and zero padding brings in different border values. Compare interiors only, or use an explicitly cyclic domain.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 5, The Thing That Commutes; The Group Convolution. Book equation with companion toy inputs stated in the assumptions; every plotted value is recomputed. No random numbers are used.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5847f78c",
   "metadata": {},
   "source": [
    "## C05-D04: A set has no first item\n",
    "\n",
    "When a collection has no natural order, which calculations ignore the order, and which still notice repeated items?\n",
    "\n",
    "Summing a value per item gives the same total however the items are listed, which is what makes it order-invariant. A repeated item is a new term in the sum, so multiplicity is kept. A formula that multiplies by position depends on the listing.\n",
    "\n",
    "$$\n",
    "f(\\{x_i\\})=\\rho\\left(\\sum_i\\phi(x_i)\\right),\\quad\\phi(t)=(t,t^2)\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\rho(z_1,z_2)=z_2\n",
    "$$\n",
    "\n",
    "**Symbols:** x_i: the measurements: 1, 2, 4, plus optional extra copies of 4; phi(t): turns each item into the pair (t, t squared); rho: reads out the second number of the total, the sum of squares; position-weighted sum: each item times its place in the list (1, 2, 3, ...), added up\n",
    "\n",
    "**Predict before looking:** Add another copy of 4 to the collection. Does the order-free total stay the same?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "321ef19b",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:34.104623Z",
     "iopub.status.busy": "2026-10-03T01:40:34.104543Z",
     "iopub.status.idle": "2026-10-03T01:40:34.184268Z",
     "shell.execute_reply": "2026-10-03T01:40:34.184199Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "A set has no first item"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Sum of the values:** 7\n",
       "- **Sum of squares (order does not matter):** 21\n",
       "- **Position-weighted sum (order matters):** 17\n",
       "- **Number of items:** 3"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The sum of squares is 21 for every listing, so order is invisible to it. The position-weighted sum is 17 here and changes with the order. Each extra 4 adds 16 to the sum of squares, so repeats are still counted."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Sum of squares = 1^2 + 2^2 + 4^2 = 21. Position-weighted sum = 1 x 1 + 2 x 2 + 3 x 4 = 17."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = sets_picture(**{'order': 'original', 'copies': 0})\n",
    "buffer = io.BytesIO()\n",
    "figure.savefig(buffer, format='png', dpi=140, bbox_inches='tight', pad_inches=0.16)\n",
    "display(Image(data=buffer.getvalue(), alt='A set has no first item'))\n",
    "plt.close(figure)\n",
    "display(Markdown('\\n'.join('- **' + str(k) + ':** ' + str(display_value(v)) for k, v in values.items())))\n",
    "display(Markdown(clean_display_text(explanation['summary'] if isinstance(explanation, dict) else explanation)))\n",
    "if isinstance(explanation, dict) and explanation.get('calculation'):\n",
    "    display(Markdown(clean_display_text(explanation['calculation'])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d759d99",
   "metadata": {},
   "source": [
    "**What happens:** At Order the items are listed in = original, Extra copies of the value 4 = 1: No. The sum of squares goes from 21 to 37, because the extra 4 adds 16, even though the order is untouched. Ignoring order is not the same as ignoring repeats.\n",
    "\n",
    "**Takeaway:** Adding up a value for each item ignores order but still counts repeats; a result built from positions does not ignore order.\n",
    "\n",
    "**Use the idea:** Graph networks and attention over unordered neighbours sum or average messages. Whether a repeated neighbour counts twice depends on that choice, and it changes what the model can tell apart.\n",
    "\n",
    "**Where it applies:** A finite collection with exact sums. This shows elementary order-invariance, not a universal-approximation theorem. The listings are the original (1, 2, 4, ...), its reverse, and a one-place cycle.\n",
    "\n",
    "**Check your understanding:** How do sum, mean and maximum change when (1, 2, 4) becomes (1, 2, 4, 4)?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "Sum goes from 7 to 11, mean from 7/3 to 11/4, and the maximum stays 4. All three ignore order, but they keep different information about repeats.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 5, DeepSets and Permutation Invariance. Book equation with companion toy inputs stated in the assumptions; every plotted value is recomputed. No random numbers are used.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f5a4ce1",
   "metadata": {},
   "source": [
    "## C05-D05: Turning the input only turns the phases\n",
    "\n",
    "When data on a four-position cycle is moved round the cycle, which part of its Fourier coefficients changes?\n",
    "\n",
    "The coefficient at frequency k measures how much of the pattern that repeats k times round the cycle is present. Moving the data round the cycle by s places multiplies that coefficient by a number of size one, so the size is untouched and the phase turns by k times s quarter turns.\n",
    "\n",
    "$$\n",
    "\\hat f(k)=\\tfrac14\\sum_{n=0}^{3}f(n)\\,e^{-2\\pi i kn/4}\n",
    "$$\n",
    "\n",
    "$$\n",
    "(T_sf)(n)=f(n-s)\\ \\Rightarrow\\ \\widehat{T_sf}(k)=e^{-2\\pi i ks/4}\\,\\hat f(k)\n",
    "$$\n",
    "\n",
    "**Symbols:** f(n): value at position n = 0, 1, 2, 3 round the cycle; k: frequency: how many times a pattern repeats round the cycle (0 to 3); f_hat(k): Fourier coefficient: a complex number with a size and a phase (an angle); T_s: turn the input by s quarter turns, i.e. shift by s places; i: the imaginary unit, i squared = -1\n",
    "\n",
    "**Predict before looking:** Turn the input by a quarter turn. Which part of each Fourier coefficient changes: its size, its phase, or both?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "85eb0fe4",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:34.185582Z",
     "iopub.status.busy": "2026-10-03T01:40:34.185514Z",
     "iopub.status.idle": "2026-10-03T01:40:34.294962Z",
     "shell.execute_reply": "2026-10-03T01:40:34.294910Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "Turning the input only turns the phases"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Energy in the positions:** 3.5\n",
       "- **Energy in the frequencies:** 3.5\n",
       "- **Largest change in any coefficient size:** 0\n",
       "- **Phase turn of frequency 1:** -90 degrees"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Turning the input by 90 degrees leaves the sizes of all four coefficients at 1.5, 0.707, 0.5, 0.707. Only the phases move: frequency k turns by -90 times k degrees, counted modulo a full turn, so some frequencies land back where they started."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "f_hat(1) = (1/4) sum f(n) e^(-2 pi i n/4) = -0.5 + 0.5i before and 0.5 + 0.5i after. Predicted factor e^(-2 pi i s/4) with s = 1 is -1i; size 0.707 both times. Frequency 2 factor: -1."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = fourier_picture(**{'turn': 90, 'signal': 'ramp'})\n",
    "buffer = io.BytesIO()\n",
    "figure.savefig(buffer, format='png', dpi=140, bbox_inches='tight', pad_inches=0.16)\n",
    "display(Image(data=buffer.getvalue(), alt='Turning the input only turns the phases'))\n",
    "plt.close(figure)\n",
    "display(Markdown('\\n'.join('- **' + str(k) + ':** ' + str(display_value(v)) for k, v in values.items())))\n",
    "display(Markdown(clean_display_text(explanation['summary'] if isinstance(explanation, dict) else explanation)))\n",
    "if isinstance(explanation, dict) and explanation.get('calculation'):\n",
    "    display(Markdown(clean_display_text(explanation['calculation'])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c30791c2",
   "metadata": {},
   "source": [
    "**What happens:** At Turn the input by (degrees) = 180, Input pattern = ramp: Only the phase. The sizes stay 1.5, 0.707, 0.5 and 0.707. After a half turn the frequency 1 and 3 arrows flip to the opposite side, while frequency 2 comes back to where it started, because it turns by 2 x 180 = 360 degrees.\n",
    "\n",
    "**Takeaway:** Turning the input rotates the phase of frequency k by k quarter steps and leaves every coefficient size unchanged.\n",
    "\n",
    "**Use the idea:** Spectral layers and FFT-based convolutions work on exactly these coefficients. Because a shift changes only phases, sizes give shift-proof features, and a convolution becomes one multiplication per frequency.\n",
    "\n",
    "**Where it applies:** Real signals on the cyclic group of four positions, with the 1/4 normalization used in the book. A quarter turn of the input is a one-place cyclic shift. The four input patterns are companion illustrations. A coefficient of size zero has no phase; the step pattern has one at frequency 2 and the arrow is then omitted.\n",
    "\n",
    "**Check your understanding:** A pattern has frequency 3 coefficient 0.5 + 0.5i. After shifting by one place, what is it, and what is its size?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "Multiply by e^(-2 pi i x 3/4) = i, giving -0.5 + 0.5i. The size is 0.707 both before and after.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 5, The Fourier Analysis on Groups; Worked example: Peter-Weyl for Z/4Z. Book equation with companion toy inputs stated in the assumptions; every plotted value is recomputed. No random numbers are used.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27e53dd7",
   "metadata": {},
   "source": [
    "## C05-D06: Lifting an image into rotation channels\n",
    "\n",
    "If one filter is used in four orientations, what happens to the four response maps when the input is turned by a quarter turn?\n",
    "\n",
    "Lifting applies the same nine filter weights four times, each time turned by a further 90 degrees. Turning the image by 90 degrees is the same as turning the filter by 90 degrees and then turning the result, so each map moves to the next channel and is turned along the way.\n",
    "\n",
    "$$\n",
    "[L_kf](g,x)=\\sum_{y}f(y)\\,k\\big(g^{-1}(x-y)\\big),\\qquad g\\in\\{e,r,r^2,r^3\\}\n",
    "$$\n",
    "\n",
    "$$\n",
    "F(g,x)[T_{90^\\circ}f]=F(r^{-1}g,\\,r^{-1}x)[f]\n",
    "$$\n",
    "\n",
    "**Symbols:** f: the 4 by 4 input image; k: one 3 by 3 filter (9 weights), reused in four orientations; g: which orientation of the filter: 0, 90, 180 or 270 degrees (e, r, r squared, r cubed); F(g, x): response at pixel x using the filter turned by g: one map per orientation; r: a quarter turn\n",
    "\n",
    "**Predict before looking:** Turn the input by a quarter turn. Do the four response maps become new numbers, or the same maps in a different order?"
   ]
  },
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     "shell.execute_reply": "2026-10-03T01:40:34.396874Z"
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "Lifting an image into rotation channels"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Channel totals, original:** 1, 5, -1, -5\n",
       "- **Channel totals, turned input:** -5, 1, 5, -1\n",
       "- **Places the pattern moved:** 1\n",
       "- **Largest gap from the predicted maps:** 0"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Turning the input by 90 degrees leaves the four channel maps as the same set, each turned by 90 degrees and moved 1 place along the orientation list (largest gap 0). Only the order of the channels and the layout of each map change."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The four channels come from one set of 9 filter weights (each rotated by 0, 90, 180, 270 degrees). Channel totals before: 1, 5, -1, -5. After the 90 degree turn: -5, 1, 5, -1, the same numbers moved 1 place. A plain CNN with 4 separate 3x3 filters also has 36 weights but no such link."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = lifting_picture(**{'turn': 90, 'filter': 'edge'})\n",
    "buffer = io.BytesIO()\n",
    "figure.savefig(buffer, format='png', dpi=140, bbox_inches='tight', pad_inches=0.16)\n",
    "display(Image(data=buffer.getvalue(), alt='Lifting an image into rotation channels'))\n",
    "plt.close(figure)\n",
    "display(Markdown('\\n'.join('- **' + str(k) + ':** ' + str(display_value(v)) for k, v in values.items())))\n",
    "display(Markdown(clean_display_text(explanation['summary'] if isinstance(explanation, dict) else explanation)))\n",
    "if isinstance(explanation, dict) and explanation.get('calculation'):\n",
    "    display(Markdown(clean_display_text(explanation['calculation'])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bc904d2",
   "metadata": {},
   "source": [
    "**What happens:** At Turn the input by (degrees) = 180, Filter = edge: The same maps, rearranged. Each map is turned by 180 degrees and moved two places along the orientation list. The channel totals 1, 5, -1, -5 come back as -1, -5, 1, 5.\n",
    "\n",
    "**Takeaway:** Turning the input turns every response map and moves it to the next orientation channel; no new responses appear.\n",
    "\n",
    "**Use the idea:** Rotation-aware convolutional layers reuse one filter in four orientations. A turned input then gives turned features rather than unrelated ones, so a model needs fewer turned training examples to recognise the same pattern.\n",
    "\n",
    "**Where it applies:** Zero padding, a single input channel and the toy 4 by 4 integer image shown in the notebook code. Cross-correlation, as deep-learning libraries compute it, stands in for the flipped sum in the formula; the equivariance law is the same. Turns are exact quarter turns, so the match is exact.\n",
    "\n",
    "**Check your understanding:** If the input is turned by 270 degrees instead of 90, how many places do the channels move?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "Three places in the same direction (equivalently one place back), because 270 degrees is three quarter turns.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 5, The Group Convolution; Worked example: G-CNN forward pass for p4. Book equation with companion toy inputs stated in the assumptions; every plotted value is recomputed. No random numbers are used.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab94abf2",
   "metadata": {},
   "source": [
    "## C05-D07: Matching feature types shrinks the layer\n",
    "\n",
    "How many weights does a linear layer need if it must respect rotations, compared with an unconstrained one?\n",
    "\n",
    "Each feature type is its own kind of object, and a rotation-respecting map can only send a type to itself, scaled by one number per pair of copies. Counting those allowed weights gives the small total. The same idea for images: a per-position map with 64 channels in and out on a 32 by 32 grid has 64 x 64 x 32 x 32 = 4,194,304 weights, while a 3 by 3 convolution has 64 x 64 x 9 = 36,864.\n",
    "\n",
    "$$\n",
    "\\dim\\mathrm{Hom}_G(V,W)=\\sum_{\\rho\\simeq\\sigma}m_\\rho\\,n_\\sigma\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\text{dense}=\\Big(32+v\\sum_{\\ell=1}^{L}(2\\ell+1)\\Big)^2,\\qquad \\text{equivariant}=32^2+L\\,v^2\n",
    "$$\n",
    "\n",
    "**Symbols:** rho, sigma: feature types: degree 0 scalars, degree 1 vectors, and richer degrees; m, n: how many copies of a type appear in the input and the output; v: channels of each richer type (the book uses 16 vector channels); L: highest degree included; a degree l feature has 2l + 1 numbers; 32: number of scalar channels (from the book example)\n",
    "\n",
    "**Predict before looking:** With 32 scalar and 16 vector channels the saving is 5 times. If richer feature types (degrees 2 and 3, 16 channels each) are added, does the saving grow or shrink?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5d513005",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:34.398269Z",
     "iopub.status.busy": "2026-10-03T01:40:34.398095Z",
     "iopub.status.idle": "2026-10-03T01:40:34.501885Z",
     "shell.execute_reply": "2026-10-03T01:40:34.501835Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "Matching feature types shrinks the layer"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Numbers per input:** 80\n",
       "- **Dense layer weights:** 6,400\n",
       "- **Equivariant layer weights:** 1,280\n",
       "- **Saving factor:** 5"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "A dense layer on 80 numbers needs 6,400 weights. Keeping only same-type connections needs 1,280, a saving of 5 times. Every weight outside the teal blocks must be zero for the layer to be equivariant."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Input size = 32 + 16 x (3) = 80, so a dense layer has 80^2 = 6,400 weights. Equivariant: 32^2 + 16^2 = 1,280. Ratio 6,400 / 1,280 = 5. The book example (32 scalars, 16 vectors) gives 6,400 / 1,280 = 5."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = schur_picture(**{'vectors': 16, 'top': 1})\n",
    "buffer = io.BytesIO()\n",
    "figure.savefig(buffer, format='png', dpi=140, bbox_inches='tight', pad_inches=0.16)\n",
    "display(Image(data=buffer.getvalue(), alt='Matching feature types shrinks the layer'))\n",
    "plt.close(figure)\n",
    "display(Markdown('\\n'.join('- **' + str(k) + ':** ' + str(display_value(v)) for k, v in values.items())))\n",
    "display(Markdown(clean_display_text(explanation['summary'] if isinstance(explanation, dict) else explanation)))\n",
    "if isinstance(explanation, dict) and explanation.get('calculation'):\n",
    "    display(Markdown(clean_display_text(explanation['calculation'])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31f1294b",
   "metadata": {},
   "source": [
    "**What happens:** At Channels per richer type (v) = 16, Highest degree included (1 = vectors) = 3: It grows to about 41 times. The input has 272 numbers, so a dense layer needs 73,984 weights, while the equivariant layer needs 1,792 (32 x 32 plus three blocks of 16 x 16). The book's sixty-four-fold figure uses 32 channels per type instead of 16 (set v to 32 to see 64).\n",
    "\n",
    "**Takeaway:** Schur's Lemma lets an equivariant layer connect only matching feature types, so most of a dense layer's weights are forced to zero.\n",
    "\n",
    "**Use the idea:** Equivariant networks for molecules, proteins and 3D point clouds are small next to dense ones for this reason. The cost is that one linear layer cannot mix scalar and directional features.\n",
    "\n",
    "**Where it applies:** Counts follow Theorem 5.2 for rotations of 3D space (SO(3)); each type used here is its own real type, so the count holds over the real numbers too. Input and output have the same channel mix: 32 scalar channels and v channels of each degree 1 to L. No biases and no distance-dependent weights.\n",
    "\n",
    "**Check your understanding:** A rotation-respecting layer has 10 scalar and 10 vector channels in and out. How many weights, and what would a dense layer need?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "Equivariant: 10 x 10 + 10 x 10 = 200. Dense: the input has 10 + 3 x 10 = 40 numbers, so 40 x 40 = 1,600, which is 8 times more.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 5, Schur's Lemma and the Shape of Equivariant Layers; Theorem 5.2. Book equation with companion toy inputs stated in the assumptions; every plotted value is recomputed. No random numbers are used.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93e2a7a0",
   "metadata": {},
   "source": [
    "## C05-D08: A moved molecule: energy stays, forces turn\n",
    "\n",
    "If a molecule is moved as a rigid body, what happens to its energy, to the force on each atom, and to the total force?\n",
    "\n",
    "Distances between atoms do not change when the whole molecule is rotated or shifted, so an energy made from them cannot change either. Differentiating an invariant energy gives forces that rotate with the molecule, and because the pull between each pair of atoms is equal and opposite, they sum to zero.\n",
    "\n",
    "$$\n",
    "E=\\sum_{i<j}\\tfrac12\\kappa\\,(\\lVert r_i-r_j\\rVert-r_0)^2\n",
    "$$\n",
    "\n",
    "$$\n",
    "F_i=-\\nabla_{r_i}E,\\qquad E(Rr+t)=E(r)\\ \\Rightarrow\\ F_i(Rr+t)=R\\,F_i(r)\n",
    "$$\n",
    "\n",
    "**Symbols:** r_i: position of atom i in 3D space; R, t: the rigid move: a rotation R followed by a shift t; E: energy: here a toy spring energy built from distances only; F_i: force on atom i: minus the slope of E with respect to its position; kappa, r_0: spring stiffness 2 and rest length 1.2, toy values\n",
    "\n",
    "**Predict before looking:** After a rigid move the energy should stay the same and each force should turn with the molecule. What goes wrong if the energy formula uses raw x-coordinates instead of distances?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ff23e331",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:34.503070Z",
     "iopub.status.busy": "2026-10-03T01:40:34.503027Z",
     "iopub.status.idle": "2026-10-03T01:40:34.613611Z",
     "shell.execute_reply": "2026-10-03T01:40:34.613545Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8syrLJrW/dIt/U9JiJhAlezJmV1J6JbosY12zZ82MWtUqGW3VKa0RZy/8R93++dvRCA+PwMHjp3Hu4lW4e3mrdpRRixBKO8YjJ86oNpxh4WHIld1NzV/aMsZW0+LwyTN49vyV+gHJlzsnGtWribzvCtYllHxZS1FDKWgnZ3/ki1V+KCXlN62BVFEhHSykKHCLRnVVIUEptLf7wFE1TYq6FitSAK2bNDD693E9s3Py3CVcv3UXT1+8UoWHs7hmQqVyJdUPTtQfYdmRWr1pB+7ef6wdH/4qyhmCcSMH6bV6TazXf+POPXW2R3685YdefgyltaVu4UEpZiddDqT9rKTD161e2Wg6cWwkbV3TZtOU5LMhKcvSSUNTk+iLb3/SPl61Qll0btvM4DqSTg/7Dh1XOx4ynGzk4N567VplJ1jOtMlnUN7f8rmQlGQZt27I2YtXVCFN2WGZ+OWnKk1ZairIWUzZYZcdOTnbI21bNSR7afveQ6qgoDynSMF8aNf8ow8uEPihyy7LsvfgMZVhJa9DzqY3qitFKY3vzGp4efuoVHPZmZHXJ2cb5YyzdDNJyBnlqMsm85QijPI5lO0tB0rS4SZPzuyJvl5iKgz9Iets7KRf1RAMERwSrPeeFVLg9eOWjeO5pogosVmpUszx4+37Vl3L98zMBUtjfb6fv7/B6fZ29gany/eehrOzfq0XXbHt70hx2m9/mqUyF+S3VDNsW1MQukm9WsiaxRWmJi3XP/n8G1X/xyVDetSsWkHtV6ZxdoadbWRGzbJ1m9UQm/CIcCRHsk8Rl+2QLu37x94aeB9IBpGxtuPyOxM5jzQme3/K++Hfpb/j+59nqzo9UnRaLsLezg7NPqqj9mvjcxyQ0HlKto90+Tpz4bLq1iaBq3MXr6n1Xa5UMbXeZN9D9qfPXLyiAkuaotASQDLV94EMTxPy/o3JhxyfUPwxCETJlgQcfpj+BxauWBetxgowH7WrVcTvP30b7QdaCotpahDJGZzPxk3G/UdPtI9LyqQmCCQHv6O+naq+IA0pmC83Nv/zB1xdMupNl8DC59/8iIPHTkf7m+9+noMBPTvi21FDE3TAJ90SpLjv46eR42d1ycHk5LEjDLb43LH/MC5dval+JA4dO4M//1mrdiB0/ThzAZbN/Vn9OMTX8nVbVHFJT28fg49La8gFv/5P7yyOBBl060FduXFbXXR92r+HXhDoQ1+/HAjv3HcYy9ZujvacEkUKYsX86eqHRjpWbNqxT+9xKQT4cYtGmPPTN2ZL/46vK9dv6a1j2RGIWoNLEwTSrCMJ9EgHMdnR1W2nKhkf8pjsvH05cRo2bNsTrd3q99PmqDazMkQo6g/2/UdP1f+WwKAE7IZ99UO0Qn9TZsxXwQQZP75p5z6M+X6aCmrokoKeqxZM1ztDGFeJsezNG9bB0K/+p74fdE2d/RcG9eqsilsa88ffK9Xya3ZOo46lXzD9fyplOj50l00ClZ+OmwR3D69on+2vRwzQFuxMrPUSU2HoD1lnqzfu0O4Yyvd71PesFItmEIgoZdJ8j5QsWghtmzWM9fkO8cxI0P2eevvWcAAp8rGYs2QkE6Jjm6YqC0N+DyUIJJk1W3YfUI/37NQG5iC/IbL/JoWhpS24nKSKavu+Q9o6K8mR7jby8TW+HXx0tlG6eAYBNJknPj6+Jn1/yn7u6j9n4OXrN6omkWTjSPFp2b+V/Uqpc7R77UK9E16xScg8K5cvo4JE0sHs9PkriIgIV/uAcjJTEzirWaW8OsaRbKHypUuoE+Ka6aaiqXPk6xfz59HXwH4TJR0GgSjZGvnNj1i3eZe6LeNWJYtD6q2cvXAFm3bux+ETZ9Gm1zD1pWjsLEDPoV+qM0YyLrxcyWJwcnRElnetRSUjonmXgeoMkBzwqxaXFcrAwcFenR24cPm6GgcsB0+6QSDJGmnRbRCev3ytxtS2atIAZUsWVQdW8oUt3Srm/b1KZbNMGf95vF6zjP3uOnCU+hKXYT3SsSJ/3lx4+eoN1m7ZpQ6w5EArPCIC7Y2cJZedGcmekUwmGc+cNm0a3Lx9T1Xul9cq7RuPbV+pDrLi48bte6rFpmwHWaYc2bKoHx45my/bQzI5ugz4HPv/XaJdX5JJJQeWcxdLd7DH+Ei6ZDWorTdfTavXxHz9EqiSsx+SlWVna4uT5y6q7SKZGdKhQHauJFND2o3K2RAp/ihZSnLmRQ6SK5QtGWsNheRCMi2kpajUPZDAl+ws/u+rz/QK7hlaR14+vipFu/lHdZE1cyY1xlsySmTdyOdGgnGiXo0qqiimfEYOnTijMj1kh0Sy3/5dMtvgGTrft2/Ra/jXcLS3VwGAvLlzqG0nNRbkvTnm+59Vtsz/ps9FzuzZ0LdrO2TNnFm9l1as36LepwO++AaHtyw3WkfAkMRa9q6DRqthAH27fqwCNm88vLBl1wH1Hp+/dLUKohoKRMoZ5QXL1qjbknkm7y/pPCLfJxL0kMyddn2GY9/6xao1anzJssnnV7IbpU5FiaKF4Onlo4JpkrHzv1/mqjNt0mUxsddLbMsV33UmhaDlPbt45Qb1XRT1u9JYZhIRJX+F8kcGum1sbT5oKJox8pslw1wkkHzt1h1tPZSoJAs1Nj07tlG/ibJPIPt1kmUpw5jk91CyN01Nvq8vXr2pbktQ31AASGoFyUk2Q4zVazE12Uay7LIPffnaTaPFteXElEa+PLni9T80J1Rkfel2yDLV+1N+x6UWkaYe0fnL19Fl4OdqP0d+26LWmUrseTo5Oqj9Vdl3PXryrPYEj27BZ2klL+TxahXLqKFaciwlASFTkWFeQvaBjJFMYlXfikyGQSAyKenmcOBoZEX+qOQHQoYrCRmuoAkAyY/gt6Pff+nJwbkEB3oO+1Jl+Ej7xkljRxqcpxzcb1n+h8GOY5+Nm6QONiXYsHzeNDU+Nio5KI2aBSQZQLKjIMGLTUt/1+soMaBnJ9Wme8iXE1XXiY6tmxodthaVfHnLvCUAIjsfG5f8rje8SLKXugwchdMXLuPrH6arTAtDQ2bkh2LEwJ6qRaqulo3ro/OAz9XB+K4DR7TrOq56dGyNrz4bYDBdc/znQ/Bxn+FqqIl0ePhyeH9tAEIu67buUkGgUkULGa0vklivXwJAXwzpq10GIe0sJdtBgnNywCs7SX9M+17vDNCwft3Qe/jXagdw8Yr1KSYIJENt5CI7WxIEkgPq2Gq4SABIAgU/fTMq2g7jktUbtcECOTDv16299jFpAatp6SrbQbb1oN6do81fgoOy3Tcsnq2XqderUxvUbtVD7YTI9pCznEvmTFU7MhpNG9RCp08+x72HT9TZKxm2Flfy+hNj2QvkzYX1i2cje7Ys2umfDeiB1j2Hqh3WRSs2RAsCyQGEJgA0elg/jB7aT+/xof26oU3PYSooMnHa75j783dxfl26yybbeePS2XrfaVLwcdDob9WwOpm3DHHQ/d5KjPUS23LFd51Jdlr6dGnUTq0E+lh3iCj1kO9xGX4sn30ZNmpo/+pDyHdGtUpl1b6iBNh7ddIPfGuCKdLhKzbyWyUng46eOofVG7erDBtNW3hzBFRkuSXIo9mHNWT91t1GawFJe3kNORmZFC3i47qNZL3KPpWUBRjcp6vecHwNTda27O/FN0tWTt7+8vsitd8r74O4/o4k1ftT9velK9bW3f+pE82mmKdk9EgQSDJ9NHWNpDyDhpyklhPlUuB6z3/H1DQ5SWqo4HpSkfeBZNrLMcK5S1f12tVryLGT7P+T6aSM8Q6Uakj2jqT9G7rIF5TG36v+VddSH2T85/rBDCE1LPp2+VjdXrF+GwKDDBfflRaPhgJA8r80bSUnj//c6A+ABHh0z8Jcu3lH21Zy2ndjorUUFXKgIz9MYvm66EOSjJGK/vIFKaQlatT6MpJOOfvHCersvfz4r9uy2+iwrK8/GxhtupzR0qwLSTONLzkzb2y8rmRXDevXXa9bQ3wl1uuX98yYYfoH4EI3qCPZL1FTgGVnT3NwLAEryVRJraRWyw9fjzC4g6v57Em2iG6wQLelq2SDCTmAN0YCs1GHakqr+o/qRgZ1ZDtO/9/XegEgUad6ZfUeFmcvvv9OiIvEWvbJ4z7XC2YI2ZGWrCYhNW80O+kamhbMMuZ+1JC+0eYpLVGnjI8MVkuGTNQhcHElwdCo32myY/3LxK/U2T05M74+ymcjsdZLTBKyzogoddLU4BP9R05Q9QENke8EyaCWlt3xJVmHmv0ZGXaqO8xVAimSaRqXTCDdYV9yokgCA5JB3KVtc5iDZLNIKQKxYOnqaAfGEtCXgtHGSJa2RtTh91Ft23NQDfP/ec5CJIWBPTupa8lakpN3UtdT15/L1mDbnv/UbSmjEN+gm7zPGr7rjPbNT7NUMW1D7zGpTahbR+pD3p/SwUtqbhoiJ4glo13EpybQh8xTE/CRzFq5SA0pGeamFzCtWFYFFKXVvfqbBNYDSig54ad5T0u5h6jFzi9fv4Ufps816TIRM4EoGbWIl3oZQn7INe0YpT6LseEgndo2U3Vv5KDn4pUbBos4N31X5C+qg+9qAEkWUFzGA2vsfxcAkqi6sbaSokHtaqrIoHSdiKuj787US4aRBLkMkbaRMmRNov6yI9C/e/QDuga1qxr9IZUzXnIw5u6pX08kPqSI9vHT5/HwyTP4+wcg7F3dIfmh0u0CEF+J9frlbw29fhl2JGOnJQulgbH5537fllPWUcYMqbPNuuw0GToLJEOLNOm6UifBGGn3KjstUqxdfsyjBuwkG0k3HTlqIEjIGT/dItRR26VKxoz7u45ncZGYyy71xgzRBH3lPSQ1DjRd2CTdXdOuWIYpGvv8ydkwGUIqmTOS4p2QoQbG6uRIkKlBzarYtveg+mxIhk9irpeYJGSdEZFpvHzjrg70Y/P5oN7a2h2JYeaksfi4zzM1DFuG7svwYxkWKkPUpaaZ1Iu7fO2WyuKQILJ0eIoPOdkm+4gyhFuyOiQAIEF42YeUrB45qSRZxZq6OVYx1PmTmmay7/HGPfI3p0kD8xSE1vikR0dVPF9OnNZo1gV1alRGWmdnFdSS73c5eSInc6RLWlSy3NKKW4bw9/tsHJo2rK0yQ+V3SYIDuhmZUoBaTsLK0Drd7OnEIrVppOW57KsvX79FDT+uX7OK2v+Q38xL126p58nvhyZgFF8zJ41D6x5D1MiAfiPGq9dYsVwpFchTpR2uXFfr6eoReZ2OH/z+lOHNchJZsl9lWJlbtixwsLPDk+cv8N+x02ooYYb0aaMNy47Jh8yzYpmS6v2g6ZYnn4GoNS0lUCTHJJrnSKFxU9Kc9OvUf6T6XNZu1V19fmXom+xzyMljeY7mPZ1SanKmdBwORsmuRby3j6/2LHnxwpGBIUN0CxBLiqShIFCu7NkM/u2Dd52UihctGK+aI5puNlI3SM5qCM3Zp/fXkQWnNfWD4kp+rETRgvljPBsixY0lCPL4meGCgFGHr+nSZDVFPRsTFxLk+XTsJG17SWNiK/xmrtcv83R0dFAHo8YORHV3EIITsI5Sipxuhj8XssOhYahNq0aJIu/PMkkB76gBg3Tp0hgdm69Zxy4ZMxidv6bbi7FUeHMtu25WYIhOC9RHT55pl1V2qiXQauy7Qc07KFgbNI0PyfSJqQOYZMFJEEi3qHpirZeYJGSdEZFpSGBDk6kYEzkIT8wgkJxE2bpivmrBvXTtJoONIaSOmBy0ypCVhPht8nhVHHjpmk2qnbempbeQfU1pvd1l4BfqoDJq1qkuCUpI5o9mPUmdIHOSLCf5jZB6itKJVerp6dZXmf6/rzDt94UGg0CaTPXen46Fh6eXqgepIQ0AdINAmlbeSdmV6YexI5Aje1b8+sff6rdFtpWGBGrk5LCUfIjPvnjUTPTtKxfgu59nq2FyEijTzQCT95ictJVAV2K8PyVg+PqNh8pukmHrUUl9ql8mfhmvotAfMk9578rjEjA0FuDR7QQm2zq+AdfEINlI0phGyj7IiaaNOo1ZZH9jxg9j8fOcv9R72lAdLEp8DAJRsqOJVAtn5/cH5VHJQYecgZZUWU2XmagMjT/WbfcYW7vCqDRjsGWnSveHzBhjy2WIFF2OGogwRPO4nBkwJClGsEvQSHakZAdLfhTr1qiifkSkq5eDvZ0KsNySArBLVqsD3YQw5etPLoUTzcXeyOdCd51G3WHSpbuNdFOs49NCNLE3gSmXPSrd2gxSlycu4vPdoCGF7WOieW26ryux1ktMErLOiChpfdy8karDF1dRA0CDe3eBp5c3Kpc3Xi9FggrFCuVHiWKFjH6vSGfALz/9BKfPX1YZxPKdJFk3cta/dPEiBjNu4/K/Nft4UttOhslKTRT5m0wuGVC1QhmVdbpx+171PE3zg5jkfhdgl0YGMnzlQ8lQWMlmlexlQySDY/zIQciQIXptQyEtwft0aadOvElmcro0aVSGT4UyJVRQq2eH1ir709D8K5cvjbN71+PY6XOqi6P6HYiIQJGC+gX3z16ILA0woEeHJHmNGkP6dEXvzu1UFtPDx88QHh4Gt6xZVMBCslgNKZg/j1o/MWVwaciJvVlTxuO7McNw4sxFPH/5Sh0jSAa4NIXJkjlTor0/pfanXB48eopbd+/j2cvXCAoKVk0gypUqbrAZR2w+dJ4jBvZGnWqR71npcBdVyWKFMOGLIYgID1dZRsZO2sT0nkqM7wPJfj6xYzUOnzyD+w+fqMCfvLZqFcupz/Lwr39QzzNnFp4lYRCIkh3dTl9e3sbbPsqBimasdPq0kW0i4ypDusgfXflCS8iySTZK/zgUDraytor3vCUTKiaaWjXGOqIlBSkkLQEgGU61adlcg8WuZSiJBIESKjm/fov87MWwHaT4toYU97X0Zdf937LjHlM2noaxbjYxkXbHUuvCWKq05nVLZk5q2KZElHAypEkuCSXNIGIjHRDlEhs5s2+sO1RC/7cuOdiXYvNR/fsuCCSBk9gse3diL7EKQndr3zJOTR1iIhkS0gglPkODNSTzKabGCpKxLkOoJNDQL4GNMGJ7jVEDLtLQI66k/k18O3fJb2+LRnURX/F9f2rKE8glMSV0njL83tgQfCHvZ6mRGpuY3lOJ9X0gmUvqfanfKFgFcaVZjzBl5zJLxiAQJTuSquiWNbMaSiV1M4wNH5NxvlHbPcZV8SIFtIWe/fz845wCXaxQ5N/5BQQkejcbTe0MSWOV4JaxFu4XrtxI0Gv+EFeu39KeXTLW7SymAoRxyRRIzq/fUsiZU8n0Cg0Nw/nL19T4+Ji2gexYGCqObmnLnj9vLm2tHxnO+CEHXjGR1H2p71OymOEDB03xysI6n43kvE0tPSOPiD6MNPmQYf9RMwckWC7diOQEljAWSNHYsHW32oeRwEl8AhspmWb40Kf9e3D4DSU5OXEvndik05mhWqMjJ0xRt2X4nbF6kZS4WHmJkiUZbiTWbdmFt36RQ7eikhbsQlI2NUGduJKCZJKGKEPPNG2d49pWUv5O0ll3vGsjmlikWJ6myOy6zbsMPkcK6WmCLZrnm0L4uzFexraFLLPumPWopIaSCDDSxS25v35LIWfqqpSPTAP+Z+1mg92cpL7N36siO0hJQCG5FM8257JLFywpBi/k+0S3S01iW2JkGKrUEjj2ruOhbsHp5LxNNYHe4JDgJF1nRJQ6Sden8g0/Rsvug9VQEqkL89m4yajSpBN+/G2Beo5kJmg6Qen97X9HVcHswaO/w8gJP6pp0j0xLpmcqUHO7Fkx/vPB6N2lnbkXhSyAlHzo2H8kKjb8GH0+HYvxU2aqS/u+n6Hhx31UXVCpezh5XGQXVUp6DAJRsjSwZ0d19lqq8w8e871eO2U5WJj95zJs3R3ZVnJwny7xLignZ8elG46Y/sdi/PXP2mgHR9J2XoJQ0l1H9+80GUBSJFkKmxk6eJHg0q79R1SHiriSs/uaceiyIyOpkbpu3X2AIV9OVLel40XLxjEX2E5MMvxNk2mwedd+vcdkrPonI8dri2EboinQfeHy++ytlPT6TUE6UHzx7U/qcuj4abMtx5C+XbUZWWMmTtNrTyu1ocZNnqEy9MSwfrGnF1vKso8e2k8FNeQzP/TLiXhjpLOZnPFauDwygJ0QEshZsWGr3jQpsjjwi2/Ud5gMH2jdtEGK2KYyhENIltLFq/FvEU1Elk2GeUlhYGmhLftrMiR9zaYd6oBSvo+lM9VfMyYZ/NvDx8+oQtCyHydZltJBadTQfrAUkpEhtZRiKphNlFikJqGcoJJ6R1I+YuHydeoi+0ySuVemZFFsXDJH2ymakh6Hg1GyJAEBOUMxcdrv2HvwGKo07ogaVcqrwqiS/ivjmDXtwBPaVnLS2JEqsHD24lVM+PE3tTMghfqkg5TsQMjBmgSfTu1eq9dN6oevP1Nt0A8eO63OIE2cNgdlSxZTHSrkQP7V6zeqBaIEgqSonW5V/tj8+r+v0arHENUVomP/EahYtqQaH/zqtbtqHykdiGS43Lxp3xstep0Umn1UR7WulK4FA7/4FnNLrVTF3KSOiCyXFLmVQJG02jTWknzZ2s04ee4S6rXtpVp4arKDpIaKFJhOzq8/rr783y8I1eloFfiuyPneQ8fx6t1YZyHjoaOOW5csK2nVqhl2WKd6/NuHJwbJkpN6V/LjLMuz9+BxVKtUFtZWVmr7abpa9ejQCi0b10NyYs5lL1G0EH6bPE6dhZY6FNv2HFQHKLlyuqlAy8tXb/Do6XMVsMnimgn9u7eP9/+Q936GdGnxxTc/4c9la1WxR6mbdvTkWfV9I51WpO2tZCalhG1auEBeVYRVMivb9/1UBYE1XeNqVakQa80LIrJsjevXwkd1a6ggshT1lX0FOYEoXZSkOHSG9Oli+NuaqmC0k7OT6pwYn301IoofCTau/nMGXr5+g0vXbuHFy9dqiJhkHpctVVRbboNMJ/kdRRHpdBPInjULfvj1D5Vlott1R1IG5QzPmGH9E9xWUgrBrV88S7WtlKFlUoNI2ivr/o8OrZtE61wgZ5dWzPtFDfuY9/cqdQAVtd2zRLybNaxtsFVjTGTHZduK+Zjw40zs2HdYnd2Si26LxSnjP1cHnKYkr3nl/OkqK0syBqQek6Ymk7zW0cP6oVLZUqqDmCGSii1p1n+v+hc3bt9TFw0Zj64JAiXX1x9Xq//drpdloRG19ai8p6IGgTQBI5HRSLcQU5F0XKlzI58NycbbvPN99pdLhvQYOag3BvZKWPA1NS972+YfIV+eXPjxt/k4dPwMTpy9CMhFhwRLpYNGQkgQfO2i3zBi3BScvnBZ1QfSkM/O9IlfGQ0eJsdtKjWBZk+ZgIGjvlXfv/KZ1/3OYRCIiGIjhfKlVqGxeoUxZcIYqk9CREknW5bMaFQ3M1dxMmAVwYH4lMSkfbLmgKN29UrI864NZ1zJW1SGIUmbS8mycMuSGRXLlTKawvr6jYca6y26tGsepyBRcHCIKpoqZ+mtbayR0y2basUpZ95jWzYpLi3LJtkw0mUhW+bMKFwwr9HCxnH12t1TLZN0w5LlKFW8SIzrTtIr3T281I6QsSCJ1NSRLCUZ1hZTJ4GYXLl+W7WwFNmyZlbZOpJ5IAdx+w4dVx3Run3c0ui2OX/luhpip8mYkaErhjp9JcXrX7t5p9rWdWpUNlh4TrIppECkkCBNfGujrPp3u8GaK1HJ8kXdYV2+bgtGfTdVDec5vmNVvN8/kp0mQ+gkw6pDqyYJXke6ZBtJ0E8y4+S9LoEG6dpgLAtL2ptKaq98No0dwMtn+fK1W6qQp2SoGCKvQ16PZJtVrVg21uU01bJLZuCWXQfUbXlOTGn0MkxSAqUent7q8yG1yyTrRXaA4kuGOUi9C8kgunxos7YGkARTZdiqvJel21hcvuviu15i+lwn1jqTZZLC1I+ePFPFtWW5ihbKn6AOakREREQUMwaBiIiSgSFjvlfDiH7+bjR6dWpr7sWhZMRQEIiIiIiIKCFYGJqIKBmQ7JfcObOjazvLaE9LRERERESmx5pARERmJsPQvv5sgBqilRwLXhMRERERUerAow0iIjOTOindO7Qy92IQEaVYm7bvUNdtmjcz96IQERElawwCERERJWPSeU86f8VUiJrI0knr4cTk7++vrp2dY24QQUmP2yJ54fZIPrgtkhf/FPS7wSAQERFRMpYvT051ISIiIiL6UCwMTURERERERERkARgEIiIiIiIiIiKyAAwCERERERERERFZANYEIiIiIiIiPX/88QeCg4PVbXt7ewwZMoRriIgoFWAQKIViK1QiIiIiSioSANIEgYiIKPVgECiFSuxWqClZSmrHl9Jw3SYdd3d3LFq0CMOGDeN7N5HxfZt0uG6JKD4kiPT8+XMEBQUhPDw8QStP83fW1qxikRxwe6SubSF/6+DggOzZs6uMP7IM/DYlIiIiIiI9ckCoe0lIAOjRo0cqeBwWFpbgtWtlZaUulDxwe6SubSGfTfmMymeVmX+Wg5lARERERESk50NrAEkGUEhICNKkSYOcOXPCxsYmQfPRBJAS+veUuLg9Ute2kHk8ffoUfn5+6jObN2/eRFxCSq6YCURERERERIlKhoCJDwkAEVHSks+mfEZ1P7OU+jEIREREREREiV6vRIaqMABElLzJZ1Q+qwmt20UpD4NAREREREREREQWgEEgIiIiIiIiIiILwCAQEREREREREZEFYHcwIiIiIiLSs3PnToSGhkYeMNjaomnTplxDRESpAINARERERESk5+bNmwgODla37e3tGQQiIkolOByMiIiIiIjonYtXb2DYV/9D/Xa90bhjP0yeMQ9v/fz11k+vYV/h+2lz8Ojpcwwe/R3qtumJfiPG4c79Rx80v/sPn6j51W7VA4eOn1aP+QcEYsrM+Wj4cR+06j4E67fuxomzF1GtaWc8fPwUERERaNtrGCb9+ke0/33u0jX1PHk+EZFgJhARERERESWp8BB/BHndi/ffhYVFtq22sUn4uWuHjAVgbeccp+fuPnAE/UdOQNf2LTHtuzEICAzED9Pn4uipc9i0dC7s7CIPn54+f6mux0+egb5dP0b6dGlVEKfb4FE4tm2lGkIX3/mFR0Tg60nTMbBXJ3yVJzeyZnFVjw0c9S0uXb2JSeNGIHeO7Fi7eSeOnDyLB4+fIjgkVLX3rlqxDBav/BejhvaDk6OD9vUsX7cFgUFBqFyuVILXHxGlLgwCERERERGRnvbt2yM8PDIAY2394YMHJAD0aOcQs6zlPE3/gFOW2IMgwcEhGP39NDT7qA5+/na0dvrfs39C9WZdsGHbHnRu20w7/eCx0zi+YxVyuGVV9+VvGnzcB/uPnETjejXjPb//jp7EiR2rkSuHm3ba8TMXsPfgMaxa8Cvq1ayippUvXRxdBnyht+zdO7TG7L+WY8uu/ejUJnKefv4B2LRzHwb06AgbG5sErj0iSm04HIyIiIiIiPTkypULefLkURe5bQnOXrqKV2/c0aFlY73pEuQpVrgADp84ozddgjGaAJAoXqQg7Gxt1ZCuhMyvbMliegEgcfjEWaRxdtIGgDQksKQrT87sqFu9ElZs2KadJgEgGUomWUhERBrMBCIiIiIiIov3/MUrtQ7GTvoV306drbc+Xr5xh0uG9HrT3LJm1rsvw7LSpU0DL2+fBM0ve7Ys0bbBsxcvkTVz5LAwXdneDRXT1bNTG/QbMR73Hj5Ggby5sXL9NhUYkgAREZEGg0BERERERGTx0jhH1g3639cjUKJIwWjrw8nJUe++sSFWUqg5IfNzsLeP9hyXjBng7fs22nQvb99o02QImgSHVqzfqoaEnb5wGQtnTrb47UpE+hgEIiIiIiIii1exXEnY29nhzv2HaNGobrKYX+lihfGH50rVdaxQ/jza6afPX472XClG3bVdCzUkLCgoGFlcM6FJ/Zof9BqIKPVhEIiIiIiIiJKUdOiSAs3m6g4WF5kzuWBYv26YuWAp8ufNhVaN66shXj6+b7Fm8041rEqybeIqMebXumkD/DxnIcZOmq6yeqQL2b7Dx3H34WODz+/esTVm/fUPFq3cgKF9u2q7lBERafBbgYiIiIiI9Ny6dUs7rEkCF0WKFPmgNSQt2uPSoSuqsLAwdW2q7lZffTYArpky4vuf52DEuMlImyYNQkJC0KF1E7Rp0sDk85Mgzt9zfsTwr35AiVotkD5dOjSoVRX9u7XHiTMXYP+uxbxG7hxuqoj0gSMn0aNDq3gvLxGlfgwCERERERGRnh07diA4OFjdtre3/+AgUErySY+O6vL6jYdEwJDF1SXac5b+PlUN9Ypqx+o/kT5t2kSbnyhWqAD2rl+MV6/d4ejooLKBZv+5THUiyxalOLWQoWC1q1VE3tw54/nKicgSMAhEREREREQURZbMmYyuk5zZsxmcnjdXjkSdn1i+bgvKlSqGksUKq/snzl7EH3+vQpvmDeHo4KD33CMnzuLoqXNYOX+60fkRkWVjEIiIiIiIiCiZKl6kAL74dioePXmGsPBwlaHVptlHmDxupPY5Ehj6dOwkvHj5Gp/06ID6taqadZmJKPliEIiIiIiIiPSUL18eoaGhkQcMLC5sVhXKlMSuNX/Bzz8Anl7eyJYlM+yi1AIqU6Io1v41E5lcMqjhYkRExjAIREREREREeurUqcM1ksykcXZSF0OcnRyRLw9rABFR7BLea5GIiIiIiIiIiFIMBoGIiIiIiIiIiCwAg0BERERERERERBaAQSAiIiIiIiIiIgvAwtBERERERKRH0xlMe9DADmFERKkCg0BERERERKTn999/R3BwsLptb2+PESNGcA0REaUCDAIRERERERG9ExQcjLMXr+K1uweyZ82CKhXKcN2kIldv3Mbtew9RtFB+FC9S0NyLQ2RyDAIRERERUYxCQkPVgdOZC5fxxsML+XLnRJd2LeK11o6cPIMjJ88ZfMwlY3oM6tWFW4HM7rW7J5p2/gTp06VF4QJ5UalsKQaB4snPPwB7/juq1lsOt6xILhav3IAlqzciLCwct+89wMiBvVJ1ECi5bgcyPwaBiIiIiMiooyfP4o+/VyIgMFA7LTAoKN5r7Onzlzh9/pLBx9yyZuYWSGYyZMiAkJAQddvOzg6WYvPO/Xjj7olj21fCwd7e3IuTIrl7emHwmO/x568/JKvgQ1h4OP6Y9j3y5HBDwSqNkdol1+1A5scgEBEREREZ9cbDU2UClS1ZDIUL5MO6LTs/aG317NgG2aMckDg6OHALJDN9+vSBpdm1/wiOnjoLOztb7Nh7SE2rVqmcXpDyyvXbePT0GVwyZkCFMiWiBYoOHDmJ9OnSoGLZUrj/8Amu3bqrnpc9Wxb1eHh4OC5fv4VnL14hT87sKFG0EKysrPTmERYWhotXb+L5y9fIlsUV5UsXh42NTZxeQ0BgkBrK5uPri/x5c6N44QJ6j7/188feg8fU68qaORNOnb8MHx9fVCpfGpkyZoh1/pt27FPX1jY2yJg+HQrmz4PcOdy0j/v4vsXu/46q26fPX1avRdSoXB5Zs7jGexmzuLrg5LlLCA4OQfXK5bTr28PLW81DlqFy+dJxWjefdO+grv38/PGhjp46B08vH7RoVFdv+529eAVPnr9E84Z11fsoqqiv7cTZiypjp2qFMsiQPp3eczdu3xt5w8rK4LrWzE/ec5rtKev81RsP1K1ROdbtQJaLQSAiIiIiMqpW1YpoXK8WnJwc8eqN+wcHgeSgt0jB/FzjlOwcOHoSd+4/UgGHHfsPq2ly4C1BoFev3dF/5AQ1jEiCMncePFaZUvN+mYhqFctq5zHp1z9QrHAB7Nx/BIeOn0G+PDmRM3s2FQS6cOUGhn01Ed6+b1G6eBGVcZTG2Ql/zZyEzJlc1N9fvHoDg0d/r7LtShYrjOu37iJd2jRY+vtUFTSKyd5Dx/HZuMnImD4t8uTMgTMXr6jhbPOnT9QGGCSwJNkhc6d+i1Ubt6sAhgSkZPqKeb/EOvRt54Ej6lr+zsPTSwUYWjauj98mj1OBKglKHDx6Sj3nwpXrePnGXd2WoXUSfIjPMs7+cQJW/bsddra2uH3/IZydnLB52Vycv3wNP/z6B9yyuOLEuUtoXK8m5v8yEaYUER6BgaO+xTejhmBIn65q2s0799Gh3wgV6G7TtKHBv9O8tt8mj8fydZvV96qs/xev3mDuz9+hUd0a2udq3oPC0LoWL15Fzm/WlPFY+e822NvZIUvmTKhYtmSM24EsG4NARERERGSU67uDU6LEkn/y9Lg/OeLdtRXwY/NG6FI+epBi1flLGLt9j960++NHxXu5fvpmFH76bQGWrtkULagw7Ov/4eWbN/hv0zIVFAoJCUX/kePR99OxOLp9pV4WjWTXSNbJrjV/6dUa6jZoFCqVK6WGJEnwRz333CUEBgZph+90GzxaZYVIQEAy5CQY1HPolxg8+jtsX7nA6LI/fvYCA774Bq2bNMCMH76GtbU17j18jFY9hmDMxGlYMP1/es+ft3Q15vz4DYoUzIfQ0FC07/sZ/jd9LrYunxfjOvrj5+/UtSYI8eDRUzTp3B/L1m5Gny7t1LCjyeM/x56DxzCgZye0alI/wcu4cPl6zJv2vQqkSYZRndY98MOvc9W6371mocq0kWyXXsO+Qv9u7U1au6lWtYoY1q8bfpy5ADWrVFDrUYIxBfLmxvgvBsf69/OXrMLcad+hWKECiIiIwOff/IgR4ybj5K41KuinnhPlPRh1XetasHQNfp/6rSp2rWFsOxBZcxUQERERkakcOn4aM+f/jd8WLMH6rbvUGXCyLG+DguN+CX53CQpGSHi4wfnJ9Kh/l5juPniEwyfOqowPzdAwCUB8O3oYPL19sGGbfgBKMoQ+6RE59Ehj1Yat8PLxVYEmTQBISOAi17shPqs3boe7hxd+nPCFdoikXI8a2g/nLl1TQ9GMkb+V/zvhiyEquCIkING368fYsusAXr/x0Ht+rSoVVeBC2NraomPrpjhz4Qr8A97X/jJGMgJlONSmnftUlklOt2w4ceZCrH8X32WsXa2iCgAJKdT9UZ3qWLF+Kwb37qwdaiWZM/LYoRNnYGpfffoJShUvjCFjvsfYSb/iweOnKsAXl1pSEjiSAJAmq2r8yMEqQ2ztZv1MS8lAi8u6rlaprF4AiCgmzAQiIiIiIpPZsS+y1orG6o3b0KtTOzXMITZjJ/1icLqNVRhyZXeDv/+H1/oQAQEBiTIfSya1b+TgVlOLJDFEhIcbnJ9Mjyqh/zc8IkIlH+n+vSb4UqpYYb3p+fPkVAGdazdua6fL32oO7nWfe+HqDTUkTGr8GFu285evq9ovR6N00fN566eub9y+i+JF9OvnaFy7eVe1s8+UMb3e/GWZJdPk6s07qO1SEeHhkY+VKFJA73myXJoC7gXy5jL4P2Q+46fMxOpNO1CyaCEVEJOMIA8vHzXcSDO/cM11lO0V32UsVii/3vOyuGZSwaNC+fPoTZehdDLMKq7bPOzd/GVbf8j7U97fc376Bo079sfKDdvw87ejUTBf7hjnqXltJYsV0nteJpcMqqbPrbsP1PS4rGt5jlw0w2yj/l9j28EQzbwS6zvUEgUkwe+Gs7MzkgKDQERERERkEpJ5IAVzs2XJDN+3b1WNi0vXbmLxyvWqbkr50iW4JSxA2gR23bK1tjE6PaHzjAsZLiUcHaMXMJdMneCQyMc1XDKmj/Y8GcIUWwH0oKBgdSCuqbujq3XTBjHWcpFlNLR8To6O7/5/ZKc3jbTvhhxp2L7LrAkONp5FtX7rbvyzbjM2LvldFbvWkDo42mF7MYjvMqZJ4xxtGWUdSuaSLqkZJHWczMHfP0D7/nB2inwdceHgEP39KutG04Uxcl1vwaalv6saVLGta5cM0d9zRMYwCERERERESa5pgzro3LaF3rTmH9XDmo3bsXrTduw6cCTWINCPE0YbnL5gybIkOWuaVGdhU4J///1Xe3ArB93t2unXIImNZriPoa5W9yfEvV6PJoMhpu5Y3SqWVZfEYG1lJeWH9P5fnlw51PXjp89VQWcNqVMjdXzkcc3zrd699qjLmz9PLjUUMjQszOhwoXy5c+LY6fOqDo5m/cVV7pzZ1bCh8PAIva5Uj548U9d5c+dUy2T9LpAWdRlt3v0/6fplbF1LplLeXDlVAEjzHNk+dx88RsH8ubXTbN4FaaL+jw9dRtk2av5Rl88qMisnrh3UbDTzj8ffGCJdzoZ9/QOKFMqPgnlzY+zkGahSsWyMBbw1r+3J0xd6/1uChC9evlbvAZku6zpf7hyqhpRG1HUt9zWdyeR+1NdibDsYIvORiyV/5yWWlLAOWROIiIiIiJJc1PbHGk0b1lHXz1685FZIRh49eoQHDx6oi9y2ZJKJIQWPl63ZpB1+I/5e9a86cG7xUeR7OCbtWzVGUHAIFixZHS2Q4PtuuFeH1k1UTR6Zb1SxDXdq/lEd1Wp83dZd2mkSxFu2brOqFSNdoT6UDFWTLlWyzBprN+9SWX26Mr3LStG8LlMuY2KQQNX2vQdjfd73P8/G46cvVLHsad9/CVeXjBj65URt8DQmm3buR5BO1pXUApL3R4tG9bTrWupDxbauY2JsOxAxE4iIiIiIzEayKYS0NiZKjiQTauakseg9/Gv0GPolmtSviRu376tgzaihfVUr99iUKVFUtRP/YfofuHHnvmor/+qNBzbv2o/Fs6aojlDynB++HoFvp87C2YtXUbViGTVE7OK1m2ro5MFNy4xmdEih4X7d2uPL76fh9t2HyJs7Bzbu2Iv7D59g9Z8ztBkjH6Jr+5b485+1aj183KIRbt17gFt37qN2tUrw9fPTG8ZVrlRxLFy+DlbWVnBycECNyuVNsowxOXfpKh49ea6CLUKWf+P2vep204a1tcP1Zs5fgqs37qD5R3WNzmvn/sNYsnojZkwai4L58qhp0tGtdc8hmP7H36podEwa16+F7oPHoGXjenjy7IXq7jWgZ0dtsW7NupbOcO2af2R0XcfE2HZgi3hiJhARERERJamAgEBs3X1AXet67e6B3xf9o24XK2y44C2RKRUvWlBlrERVp3pl/LdxKcqWLKZawMvwqfWLZ2H00H56z6tfqyoqli1pcN5D+3bD7rULVVbR6QtXVNBj+R/TVIcsjf7d2+PAv0tVV6zT56/gybOXqF+zKg5vXh5rTaEp4z/Hsrk/qwwT6fRVu2olHNr8j179Hgk2tWnWUBWp1pUls6uaniFdWqPzz5srB/auW6wyo05fuIw8OXNg8ewfUb1yOdVtTNei3yarQMeRE2exY/9h9Vn/0GWUbCEJmkTVoHY1vb835tK1W2pZ9h85oeZvZ2en7stFt6aQZF3pDsOKSjKyDh47jc8H9UbXdu+HuMoyTP1mNB4+fqqGCcakXKli+H7McNy+9xAeXt6qvfvELz/VW9f7/12i5hnTuk6bxvC6im07kGWzitDNaaQUQzP2fWDvnrB0mir2KWH8ZUrDdZt03N3dsWjRIgwbNozv3UTG923S4bq1TC9fv8HilRu0RWMvXr2hWjIXfdcBKadbVvTs1Fb7/MPHT+Po6fNoWKc6Kpcrrc326fvZ17C3t4Nb1ixq2IS3jy8ePnmKsLBwpE+bFtO+/wqZXV2SxX4R3+uRv1OawwQJVri6Gi9KbMiNGzfUdbFixT5oW8SlJhCZTmrfHtKmvnTd1tix6k+9gsyJRYI+tVt1x9Lfp6JxvZrJZlsk1ufVkvmnoGNSDgcjIiIiIqOkRsnp85f0pklQRzPNq0Dk8AWNx89eqMek7bOGk5MjWjdpgANHT6oisJpCsBJckCEw/Xt0THAAiJJGfIM+RKnBi9dv8NmAnkkSACJKLhgEIiIiIiKjsmZ2xZefDjD6uAxHiDpspmD+PGo4g24L595dPkb3Dm3w/OUrNSRBsoJy58hutGA0EZGpSfc33Q5wic3YUDciU2IQiIiIiIiMSuPshKoV4t5+O1cON3UxuONpa6PaRMuFiMjSuGXNjPm/TDT3YpCFY2FoIiIiIiIiIiILwCAQEREREREREZEF4HAwIiIiIiLSc/HiRb3uQ2XLxn1IIBERJV8MAhERERERkZ7//vsPwcHB6ra9vT2DQEREqQSDQEaEhoZh8659OHjsFN64eyBt2jSoUr4MurRrgTTOznFaufsOHce8JSsNPmZvZ4vl835N+JYjIiIiIiIiIooHBoEMiIiIwPQ/FuLUuUvaaYFBwdi+9yCuXL+FKeNHwcnJMU7zCQ8PN/hYWJjh6URERERERERESYFBIAOOnzmvAkAZ0qfD8P49UKJoITx78QpzFy3H/UdPsGH7bnRv3zrOK/mLIf1QrWKUcdRWVh+88YiIiIiIkkKNGjX0agIREVHqwCCQAXsPHlPXA3p2QoUyJdXtAnlzY/Sw/vh07A/Yf+g4urZrCWvruDVXs7ay4o8nEREREaUYlStXhqVavm4LNu3ch9funqhTrRImfvWpuReJEkFwcAj2HzmBdVt24fa9h+jZqQ0+6d6B65YsDlvEGxjCdfPOPTg6OqgaQLrcsmZB0UL54eXjqzKDiIiIiIgo9fjv6CmM+m4qOrRqgrlTv8XAXp3MvUgpzotXb1C3TU8cPHYayUm7PsOxcsM2NKpbEzfv3MebNx5IzZLrdiDzYyZQFB5e3qr+T8F8eQxm7+TNlRPXb93F85evkCuHW5xW8prNO1SBaKkPJIGk6pXLo2Xj+rC3s0ucrUhERERERB/s/OVryJA+LTq1aca1mUDBISEqyOLj+zZZrcO1C3+Ds5Mj/Pz8MWL8ZKR2yXU7kPkxCBSFv3+Auk6XNo3BFZY2bWRnML+AwDiv5EdPnmlv33v4WF1OnLmAiV9+FmuB6bGTfjE43cYqDLmyu8Hf3x+WLiAgcpsR121KfN/y/Zt065a4bpOacxy7hRJRytCx/whcu3UXb/0CVAaF+OmbUaheqZy6ffjEGfy9aiMeP30Gl4wZ0PyjuujZsbVeiYj+IyegQN5caqjR9LmLce3mHXw3ehhqVauoHt+4fa8aavb0xSvkyZkdfbp8jFpVK+gtx4atu7Fxxz48f/kaWbO4otvHLdGiUd04DXf6e9W/2P3fUfj4+iJ/3twY0KMjKpUrpX3OwyfP0GvYV+p1BQQEYsHSNfD29UX9WtXw+aDesLOL+fCwQbs+6trK2goZ06dDofx5MLhPV3Ut7j98gh5Dx6jb3/88G7/MXaRuT/tuDKpUKBPvZfT1fYu/lq9Tf9erUxt83LIxgoKDMXP+Uhw6flrVcB09tB8qlCkR6/qRAFBiCAkJVVlFzT+qg6F9u+k9dvTUOYybPENlkZUsVjja3+q+Nk8vbyxeuQF+/gFoWLs6hvXvBkcHB+1zNe9BKyvD61o8evIcfT4bq+b31s8fi5avg7uXN+ZPmxjjdiDLxiBQPFkh7gWdHezt0LZ5I/XDkcMtq/pBuXL9JlZu2Iq7Dx5h7Zad6NWpbXwXgYiIiIiIEtmPE0Zh/pJV2LxrP+b9MlFNy/0u83/lv9vwxTc/qeFhA3t2xPXb9zBx2u84ff4y5vz0jXYeDx49QUhICEZ/NxV9urTD4D5dtPP44tuf8O+2Pfh8cB8M6dNV1Rz6bcESZMqYXjWiEWO+/xn/bt+LL4d/goplS+D8lRsYPvYHPHvxUtUrjamkRd8R43Du4lV8N2Y48uXJibWbdqJNr2FYOHMSmjaorZ4nwRTJDtm+5yB8/fwwYlAvPHz8TAUuZLnHfz44xnU09+dv1bW1jQ08PL2wZtNOfNS+D/Zt+FuNpMiRPSsmj/scXQZ+gYG9OqNOjcjaUnlyuMV7GTft2IfwiAh8MaQvzl26iuFjJ6ngm6yfimVL4ttRQzF38Up0HfQFzuxZb/QkfmKTQFmJIgXx57K1GNSrs97okaVrNqnl12zPqDSvTQJ9MvpEXtuTZy/w3dTZKgAp60FD8x4Uhta1ml9IsJqfrJPAwCB8NrAXMmXMEON2IGIQyEiE2M9Ihs1bP7/I5znGHkmuXb0yauvN2wkNaldHvty5MGbiVJUNFFsQ6McJow1OX7BkWeQ8eRby/frlukgyXLdJl63i5OTE9ZtE+L5NOly3RKmfr6+v3v106dIl2rwL1emsve2WOROObPjD4PMGfv0z9h87q72/8c8fUapogWjPW71lH8ZPW6C9/1mfDvisX8f4L1f+PHB1yQgbaxsUL/z+//gHBKpsivYtG2Pil5FFoqtWLAsHB3t8PuFHdP24BWpWeZ/NI8WHj25biby5cminHThyEivWb1UZIpLNoiEZPpJZIo6cOItlazdj/vSJaNO0oZpWsWwphIWG4cff/kTnts2RPl1ag8u+fe8h7Dt0HMvm/oxGdWuoadKd+Onzlxg76Vc1TTdYcfXmHWz4e7a6LSesb997oDJ0xo0cpDJPjCn2br1o5iWvW7KdJKNl0tiRcLC3R4F8udVjchJcdz1u23MwXssoXZlX/zlD+zyp1ySBtFFD+qJHx9ba5j3lGrRTGVaSfWUq8r8k4HPg6Cl8VKe6mubp5YOd+w5j9LB+Ma5DceP2fWxZ/v59LxlNkiEkHao1mTq6687Qutab36272PyP/ufI2HYgYmHoKCS6LF9eT569RFh4uNGhXdmzZUnwu0c+kE6OjvD09uY7kIiIiIiSnUWLFmHevHnqIrcTk2THay4xlViQTAnd54aHRxh8XmhomN7zgkJCEnV5JXPF2+ctPm7RSG+63JehYPsPn9CbXqZEUb0AkNix/zDSpnFG2+YfRZu/ZgjW1j3/qZPGLRvV03u8cb2a8A8IwKnzl40u44EjJ1QtI01AQqN9q8ZqWJlkmehq2Vj/f5QtVQy+b/3wOpZiyTKc6buf56ihc/Xb9VZDliRYc/fB4xj/LiHL2KxhHb37kl0jz9Nd9iyZMyFr5ky4+zD2/5+YShcvgrIli2HF+i3aaeu27FQ1YLu0axHr37duWl/vvgTA5P0hQSWNh4+f4tufZsVpXUu9WaK4YiZQFPJFLh3ALl27ibMXruiNmXz1xgM37txTEfgc2bMhoR48foqAwEBkzeya4HkQEREREVHSe/nGXV3LEBtdcuJYMoc0j2tkz6b/PPHi5WuVkaFbPygq6T4cGhqKBh9H1t3R0AS/XrsbD9C8fO2u/m/UDBT5n5rHSxePPl1Das4ID29vVYfIWACoaecBKnNoUO8uyJ41sxoWJlk8gUFBRpctocvoljWz3vMypEsLRwd7ZMyQXm+6HJtJFo6pSY2ir3+Yrob1ZXF1wYoN29CkQS11OzZR3yOyTuT1ytAwzbpu1LE/alQuH6d1/SEJCmR5GAQyQIZsSRBowbJVcHZ2RPEihfD8xSvM/msZwsLCVeE0mxi+wDW+nfobGtWpgcIF8yNzJhc1xEzm+8+6TerxyuVLJ/4WJSIiIiJKxtKmcdLeThNDsV454Nd9rrW14SE2trY2es9zSOQOvJpyET4+0bss+b59izRO7/+3ZrmjSuPsBC9v31j/T2ZXF71aMLokEGD0b52dDHaB8vbx1f5/XcaCURGGk62UNZt2qL+b/8tEODq+L2D89q0f0qWLvR5PYiyjtbWNkeWOYcGTiGR1fffzbKzdvAPVK5VXHaS/HzM8Tn9reD28VfV8NOtajjf//PUHvWLdxta1DE0kiisGgQyoVbWiqjYvBci+mzpL77EcbtnQvmUTvWm7/zuCP5etQesmDdBTp8bPrTv3cfXGbYMrPnfO7OjUpnmcNxQRERERkam4ubmpQsHCLpGDKncOrY7T8xb89CXCwsLUbd1aMVF1btVQXZKKDPuRTI0TZy/qjRKQYwUZsla+dOydqaSGkBTvlUBB8SIFDT6nWqVy2LRzvwqGSOew+Chfqjg279yvhhDlzZ1TO/3EmYuwt7NDSSOFiuNDMl4k80k3KCGZKzJSQvfktjTHEVFLa5hiGU1JtpPUd1q5YZvqipYnV3bUqV4pTn978twldGvfUntfuke/8fDUFpRW6zpT7Os6Jsa2AxFrAhkgX/JSkb9j62ZqyJZEoSXN8KM6NVSV9ahRaok8y/hPueiaNO5z9TeSnmdrY6O+3PLnyYWu7Vrip29Gq3GfRERERETJTefOndGjRw91kduWTIYrSf2feUtW4+LVG2qau6cXxk2eqQ78WzdtEOs8OrZuqlrHjxg/WQ31ETL0a/m6Lbhz/5G636lNMxTKnxdDxnyvfY7m4P+bH39DQKDxIVdSNFqCBl/+7xfVKlwcOXkO/6zbgt6d2xotKB0flcqWVDVpDp04o81mkeFJhQvk03teFtdMcHJ0wM3b90y+jIlh1LdT0abn0Dg9t1fHNrh976HqHte9fatYC0JrSKfofYePq9vSIn7cpBnIlcMN7d7VjJJ1fe/hE5WYENO6jomx7UDETCAj5IyHFPWKS2GvxvVqqWBP1A+9fInLhYiIiIiIUq5fJn6F8VNmoFX3IWrIlhRQljblqxfM0A4Xi4mcRF6/eDa+nDgNNZp3hVsWV/i89VMH/W2bRWYxyXw2LJ6F8T/ORJ1WPVTAJCg4WBWLlrb0mswOQ1wypseaP2fgi2+nokTNFupvPb280bNjG3w7eliirAMJZElx6h5DvlQnuSWIJSfI127eCW+dbnJyAn3M8P746bc/sWH7Hjg6OGDad2NUFlVSL2NMfvptgSrQramxtGzdZnVf/LtkjnYolgRonr18Had5lipeGOVLF8fl67fQpV3cR3kM7t1FZRBJwEnqGUkw8e9ZU2D/bhvLuj5z4Qq6Dhod47qOSUzbgSybVYQ5BlDSB9O0iB/Yu6fFr01//8gzCWxZnPi4bpOOu7u76rYybNgwvncTGd+3SYfrlixlv4jv9Q9340ZkxkyxYsU+aD5xGQ6WmGQYjpe3DwoXMHwiV7I2Xrx6rYoTy9CoqB48eqoO5KMWXtYlXbjeuHsiZ/Zs2oP+qCTr5/nLVyowEbUQcqyv4Y0HfP38VPFhyQTRFRwcojpp5c7hpjcqQV7Xo6fPVbaSFLyOaXtInVMJXEiZDBmuJJlKMuQoakc0macqdh0Whjw53JBG5/8lZBlluJSHpzeKFNTPhpGhWFKjKLbiyNJZzOtd/aGoCufPA1tbWxVsKVq9GT4f3AfD+3dHXEix7BxuWbDotymxPleyhmq36o6lv09VXd/k/SYNg4wN//Pz81ev29C6lm0RHBKCB4+fRVtXcd0Oif15tWT+KeiYlJlAREREREREagiNS4zdnSSjp2C+PEYfz5fnfa0bY9KlTaMuMZHASIG8uRO0TaRtulwMkaBT8cIFDL4uQ9MNSePsjPTpIruJCRnGZPh5TkaDaQlZRmm0I5eo8ufNFaflliBRbIGiS9duqSBY3y7t4jTP3f8dxYUr1zHxy7gVhI4qtk5iErDRDdpEXddSbiS27RbTdiDLxCAQERERERERWbxC+fNgz7pFBrNldO0/fALfTp2Fh4+fYWjfbqrwN1FKwSAQERERERERWTwpTh2XAtWVypXCXzMnqSZCmlpCcSHDuA5sXKqGbxGZC4NARERERESkZ8WKFXot4rt168Y1RBTPYFFch7oRmRKDQEREREREpOf169cIDg5Wt+1jKBRMREQpi7W5F4CIiIiIiIiIiJIeg0BERERERJS4BxnW1oiIiNC2eCei5Ek+o/JZlc8sWQYOByMiIiIiIj0DBgz4oDXi4OAAf39/PH36FDlz5oSNjQ3XMFEyDADJZ1TzmSXLwCAQERERERHpcXaOuUV2bLJnz45Hjx7Bz88Pt27dgpWVVYLmIxkKIqF/T4mL2yN1bQvNPKT4u3xmyTIw54uIiIiIiBKVFJPOkyePCiZ9SBaQHKRqDlTJ/Lg9Ute2kM+mfEbls8oC8JaDmUBERERERJTo5KAyb968HzQPGVKWGJlJlDi4PZIPbgtKKGYCERERERERERFZAAaBiIiIiIiIiIgsAIeDERERERGRnhMnTmjbu0vdkGrVqnENERGlAgwCERERERGRnpMnTyI4OFhb24dBICKi1IHDwYiIiIiIiIiILACDQEREREREREREFoDDwYiIiIiISE/Dhg0RHh6ubltb87wxEVFqwSAQERERERHpKVWqFNcIEVEqxLA+EREREREREZEFYBCIiIiIiIiIiMgCMAhERERERERERGQBGAQiIiIiIiIiIrIALAxNRERERER6Xr58qXc/W7ZsXENERKkAg0BERERERKRn1apVCA4OVrft7e0xYsQIriEiolSAw8GIiIiIiIiIiCwAg0BERERERERERBaAw8GIiIiIiEhP/vz5ERoaGnnAYMtDBiKi1ILf6EREREREpKd169ZcI0REqRCHgxERERERERERWQAGgYiIiIiIiIiILACDQEREREREREREFoBBICIiIiIiIiIiC8AgEBERERERERGRBWB3MCIiIiIi0rNw4UIEBwer2/b29ujfvz/XEBFRKsAgEBERERER6Xn79q1eEIiIiFIHDgcjIiIiIiIiIrIADAIREREREREREVkADgcjIiIiIiI9I0aM4BohIkqFmAlERERERERERGQBGAQiIiIiIiIiIrIADAIREREREREREVkABoGIiIiIiIiIiCwAg0BERERERERERBaA3cGIiIiIiEjPgQMHEBoaGnnAYGuL+vXrcw0REaUCDAIREREREZGeS5cuITg4WN22t7dnEIiIKJXgcDAiIiIiIiIiIgvAIBARERERERERkQXgcDAiIiIiItLTqlUrhIeHq9vW1jxvTESUWjAIREREREREegoUKMA1QkSUCjGsT0RERERERERkARgEIiIiIiIiIiKyAAwCERERERERERFZANYEIiIiIqJYhYSE4MqN23D38EImlwyoUKZkgudz7dZdeHr7IFPGDChepCDsbLlLSkREZAr8xSUiIiIio+7ce4gN23fj4tUbCAwMUtNKlyiaoCDQpWs38duCJfDy9tFOc8mYHp8P6ouSxQpzKyQjDx48QEREhLptZWWFfPnymXuRiIgoEXA4GBEREREZdfXmbZw8exGhoWEoWjB/gtfUsxevMHXWfBUAypMrB+pUr6yuPb188NOs+Xj1xoNbIRnZtGkT1q1bpy5ym4iIUgdmAhERERGRUYUK5MPoYf1RrlQJ+L59iyFjvkvQ2lq/dRcCg4LxUd0aGNy7q8oukUyTuYuWY/+RE/h32y4M6t2VW4KIiCgJMROIiIiIiIwqWbQQqlcqDydHhwSvpfDwcJw6d0nV/unZsa0KAAm57tW5LWxtbHD8zAXt8CMiIiJKGswEIiIiIqIk9fK1O/wDAlC0UAGkTeOs91i6tGlRIF9u3Lr7AG88PJHFNRO3RjJQsmRJhIaGqtu2LNxNRJRqMAhEREREREnKw8tbXWfL7Grw8ayZXVUQyMPTK8Yg0NhJvxicbmMVhlzZ3eDv758oyxsQEABLV6NGDb37ibVu44vbInnh9kg+uC1S//ZwdtY/aZJYOByMiIiIiJJUUFBkVzF7BzuDjzs6RA41k5pBRERElHSYCURERERESUpqAQnpMGZIyLthR/Z2hoNEGj9OGG1w+oIly5LkrGlSnYWl+OO2SF64PZIPbovkxTkF/G4wE4iIiIiIklSG9OnUtbunl8HHZRhY5PPScksQERElIQaBiIiIiChJZXfLqooL373/SJv1oxESEoI79x/B3t4O2bJk5pYgIiJKQgwCEREREVGSDwcrU6Ko6hC2a/9hvce27z2IgMBAlC9VAjY2NtwSRERESYg1gYiIiIjIKN+3fjh59qL2tvD08sbeg8e0Q7gqly+jff7dB49w/+ETFCmUH3lyZtdOb9u8Ec5duoolqzbg8dPnyJcnp3regSMnYGVlpR6n5GPOnDkIDo4s1G1vb4/hw4ebe5GIiCgRMAhEREREREa98fDEH3+v0Jv25NkL7bTCBfLpBYEkYLR+6y707dpeLwhUsmgh9O7SDsvWbMLeQ5EBJGFjY42+XdqjSMF83ArJSFhYmLpobhMRUerAIBARERERGZUuTRo0rF3d6ONuWfXr+BTMn0c9P7dOAEijdZOGatjXibMX4OnlA5eM6VG9UnnkyuHGLUBERGQCDAIRERERkVGZXV0wtF/3OK+hqhXKqosxEhwyFCCi5MXJyUlbo0mGgxERUerAIBAREREREekZOHAg1wgRUSrE7mCxkDHQnt4+CA4JSRbzIaKULSIiAqEBngj1fYgMtl4IDwsy9yIREREREZGFYCaQEX7+/liy6l8cOXkWQcHBsLa2RtmSxfBJj45wy5rF5PMhopQf/Al4eQFet7cgyPuh6rBTNsNb3N8xHK45SyNz6W6wT5/H3ItJRERERESpGDOBjGTt/DB9LvYdPq4ydzJmSA9rKyucv3wN3/w4U2X0mHI+RJTyA0Ael5fi5Zk5eHzvAq7feYCHT1+qxx48foYLp/fg3L+fw+P2DnMvKhERERERpWJmywQKCQnFlRu34e7phWxZXFG6eBEkFxK0uX3vAXK4ZcXYEYOQwy2bOms/c/7fuHDlOtZs2o5BvbqYbD5ElLJ53VgHn0eH8ODJc/i89VfTJCCsERIahpev3RGwbzYqpXFDuhzlzbi0RERERESUWpklE+iftZtRtl4bNOsyAD2GjMGchcvV9Nv3HqJa087oPfxrmNOhY6fV9cCenVXgRqRLmwafDegFezs7HDlxFqGhYSabDxGlXKH+b+Bzfw9euXtqA0DGyOOX9vzMOkFERERERJQ6gkDL123B6O9/VsOjKpQpofdY4QJ5YWdni10HjuDBo6cwh7DwcNy5/xBp0zijVJTspAzp06F4kYLwDwjAk2fPTTIfIkrZfB7uR3h4GNw9vd9PDAdsva0Q5hkOROg/39vzFd6+uGry5SQiItK1bds2bNq0SV3kNhERpQ4mHQ4WHByCKb/NV7f/+WMaXrx8jcFjvtd7Tv2aVVVG0O7/jmJgr04wNQ9PL4SEhqJA3tyw0hmuoZErhxsuXr2hhm7ky5MryeczdtIvBqfbWIUhR7ascHd3h6ULCAjQuyau2+TE9+UNNQw0LCxcOwTM8akN7HysEfw4FA5u1gjKHK59vjzv2tkdKOyY14xLnbLxO4Hr1lRcXV1N9r+ITO3OnTsIDg5Wt+3t7bkBiIhSCZMGgS5duwl3Dy+ULFoI1SqWxcYd+wwGR4Rk0ZhDQGBku2ZnZyeDj6d5N12yeEwxn5i8ev0KixYtSvDfE1HSq5jhKtLY+iGrSxptkejAqyHaxx28bZChsP73hNfz6/xsE6UAY8aMMfciEBERESXfIJBkvYg8ubKrawMJMkiXLvJAyT8wEOagOVMfHv7+zLyu8PDIsRs2NjYmmc+PE0YbnL5gyTKEh4WjV5eOsHSas/5OToYDbsR1a05vTkyC95sHePD43dDPCCCtlS2sIt59RwRG4JWHH6DzfZgnfx7U7jnMTEuc8vE7geuWiIiIiJJBEMjJ0UFd+wcYD/DIEDGRMX06mEOaNM7q2sf3rcHHfd6+1cvkSer5xMTaxhrOzpH/hyTriusiqXDdJpxDGlek9X8JGxtr1QVMhNsCNpEZ9ioYFBEagYh338Z2tjbI4BiugpqGhpIS37fJAb8TiFK/Tp06aU9mWlubpZcMERGl9CCQFEMW127eRVhYmMEDHKkFJMqUKApzcMmQHs5Ojnj6/CVCQkJgZ2en9/j9h4/VtabbV1LPh4hSNhunTOq7ztUlA1689lDTwu0iYBP8/vvPKsQKEbaR2YGZXTIAEaEID3kLG3vzBMOJiIiyZ4/M3CciotTFpGH97NmyoGaVCnjt7oG/V22M9vjsv/7B+cvXkT5dWjRrWAfmUrJYEdW97NDxM3rTHzx6gjv3HyGLayb1Wkw1HyJKuWwdXdR1VlcXpE8bma0WYaffEsw6NPJaHs/iGvn8sABPUy8qERERERGlcibNBBI/fTMKLboNwvgpM5Aze2QWzOnzl1G9WRfcf/REnTGfMv5zpEsbWRvIHJrUr4XT5y9h8cr1qoirZDA9e/kKi1asU/eb1K+t9/yAgED4+vnB2clJtYRP6HyIKPWxccykruW7LV+u7Hjt7gnvNz56z7ELs0GWLOlVAEiTIRka6AH7DHnMssxERERERJQ6mTwIVLhAXmxdPg9f/zAdx06fV9OevXilriUrZuJXn6J1kwYwp/KlS6BxvZpqaNoff6/Qe0wCOS0b19ObdujEaSxYulotd+8uHyd4PkSUejOBhAR4smbOBMecdvB4+T7TJ3PaDMiU+f3zRFggM4GIiIiIiCiFB4FEkYL5sOHv2apezo079xAUFIzs2bKibMmiyabw3KDeXVG0cEEcPHoSbzw8kS5NGlQuX0YFbqLW93FydFRDu9IayF6Kz3yIKHXWBIrK1ln/qzcsILJgtK5QBoGIiIiIiCg1BIE0ZDiYZkhYclSvRhV1iU2d6pXV5UPnQ0SpOxNIO83JJtYgUFhAZBFpIiIic7hx44Zq5CJsbGxQrFgxbggiolTArEEgIqLUzsrWCda2jggPDTSaCRTKTCAiIkpmdu3aheDgYHXb3t6eQSAiolTC5GOvVqzfinZ9hmPdll3RHnv09Dk+7vMpRk6YYurFIiJKElIHyMYxo940aztrWNm+bxEf5h+misXrYiYQERERERGl6CBQcHAIps7+E2cvXEXtahWjPZ4nZ3aVdrrq3+04c+GKKReNiCjJ2L7rEKbLRmdIWER4BMKDw/UeDw3yihYYIiIiIiIiSjHDwW7dfYCXr91RungRZMuS2eBzalevhJPnLuHQ8TOoVK6UKRePiChJ2DgZrgsU6huqNyTMxkEnMBQWgvDgt7BxSMetQkREJlepUiW9mkBERJQ6mDQI9PjZc3Wdwy2r0edoCkU/evrMZMtFRGTyTCDHKMWh/UOBjPb60wI9GQQiIiKzqFmzJtc8EVEqZNLhYNJKXTx/9droc56/eK0tQEdElBrYGOgQZuNkHYfi0OwQRkREREREKTQIVLJoIXV949Y9PHwSPdNH6l/sOXhU3S5euIApF42IyKRt4nVrAmmKQ0clmUBEREREREQpMgiUJXMm1K1RGcEhIfjim5/g4/tW+1h4eDhmzl+C85evw8nRAS0b1zflohERJRkbp5gLQ4vQgPf1gd5PYyYQERERERGl0JpAYvK4z9G860AcPXUOFT9qj6oVy8LRwR6Xrt3EoyeRNYO+//JTZHGNfuaciCi1ZAJJYWhdYQaGgzETiIiIyLKEh0fg7JOnsLKyQr5MLnB1dlK3yXQCg4Lh7ukN/4Ag+AUEwCVDOuTN6cZNQKmGyYNAhfLnweZ/5uLL76fh1PnL2HvwmPax7Nmy4NtRQ9GuRSNTLxYRUZKxsnWCta0jwkMDjWcCGRgOxkwgIiIyl6CgIL37Dg4OZluW1MQrIACnHj1BekdHVMubO9rjEYhA87+Wae9ncHREocyZUDBzJhRydUXFXDlQI18e2NqYdECHRdlz+DQGfDVVe/+TLq0wacwAg8+V0SzW1twWlLKYPAgkihUqgM3//KHqAknb+JCQENUVTFrH80NERKmNnMGT4tDhbyOzHYW1nTUgcaCw98PBpC6a7tk+ZgIREZG5zJs3D8HBwdqGLSNGjODGSKC77h5YduYC/rtzH9devUJEBNCyRFGDQSAba2s42toiMDRymLh3YCDOPnmmLhpZ0jijVcliaFe6BKrkzgVra2YKxVVQcAg27zmiLjO++wyZXTJEe46zU2QzIw3JBjLmix9m48nz12jbuDZaNKyhsoaIkjuTBoEuXLmB5es2o2zJYujRsTXy5sqhLkREljAkLEQnCCSsHKwQ4R8ReSccCA8Oh43D+wyh0CCvaIEhIiIiSv7k9/vQvQdYcPwM9ty+owI/uk4+fGz0Nz6NvZ02CGTIaz9/LDp1Tl1yZkiPtqWKo0/l8mr4GBn3+9INmPfPRrx291L3T52/huYNqkdf/876QSAZFmZIQGAQtu47hrd+AThy+hLGTp2PM1v/QrYs0WtBEllsEOjJsxdYtnYzfN76qSAQEZGlsHGKvmNmZQ9E+OsPCdMNAkWEhSA8+C1sHHhWiYiIKCUICAnB2otX8OeJM7jx6k2MgRzJECqU2TXaY5Ll88TLRz3+yMsLYeFRIkg6nnr74PejJ7HgxGl817gBBlWvnGivJbV5+OSFNgAkTpy/ajAIlCljelQoVURlBMmlTPGCBue3/9hZFQDSKF44HwNAlCKYNAiUwy2Lun79hh1viMiy2DpGPyskmUAy+l8jTDqEudjrPSc00INBICIiMrlMmTKpkg3Czs6OWyAOdt+8ja+27sYTbx+jz0nv6KCGcFXPlxvpjNRZmtaqqfZ2cGgYHnp64c4bd1x49hwbr1zHPXfPaH8TEhaO4lkjj7XIsE+6tsLS9Tu190+cv2bweUXy58b2Jb/EuhofPHkBeztbBIdEZm21a1Kbq55SBJMGgWQYmBR/vnLjNry8fZAxQ3pT/nsiIrORmkBRWUXZ9ws11iEsQ96kXDQiIqJoevbsybUSR899fDFu+x5svXbT4OPWVlZoVrwIBlStqOoASd2fuLK3tUHhLK7qIvP4ukEdXH7xEv9euoZ/r1xXmUCiXsH8qFMwn8VvMxliJ0EZB3s7g8GdetXK4+6jp+jfuSU6tWzwQetrWK+P0aNdY2w/cAKbdh1G60a1jHYb++aXPzG0Vzvkz81SKGRhQSAbGxvMnjIBvT/9GkO/+h9m/jAWWbNET4EkIrKENvGRmUDvhbFDGBERUYrr9lV7zl+qgHNU0tmrR8Wy6FelAvK4ZEyU/yc1hMpkd1OXbxrVx7EHj/DT/kOY0Kie0b+RbCIJJqV2t+4/xpdT5qJE4XyY8uUgg8+Z/cPnyJQhnTouTQwZ0qVF19YfqYsxf6/djmUbdmH9joNquTq3asB6j2Q5QaDDJ85g2pyFKgNo/+ETqPhRe+TNnQOZMkavyl67eiWMGdbflItHRJRkbJxcYw0CSYewqNghjIiIKPnK6OSEjmVL4q+TZ7XT0jrY46v6tdGjYjl1O6lIV7BaBfJiawHjWVvXX75G52Wr8VOLxmhevAhSI2nTPnPhGsz4aw1CQkNx8vw1dGheX9X1iSpLpsQJxsWVj68fflu0Vt32DwjEyIm/wdv3LQZ1b2PS5SAyWxDI3cMLp85f1t6XD+md+48MPje7W1YTLhkRkRkygeyjBIEMZAIxCERERJS8jWtYVw0Fe+H7VhV1ntLsI7ilT5csilQPXLtRDVfrvXI9+lapgIlNGsApldV48vb1w/KNe9SxpWZI2JjJv2PXsl9ha+YMqL1HzsDT21d7P1vmTGjf3HjWFlGqCwI1qlcTp3ZHRkJjI5XYiYhSC2s7J1jbOiI8NNBoTaAwAzWBQgNYSJ+IiCg5S+fogBltmiM8IgKNixZCcvHdzn16HcoWnzqHEw8eY0GnNiiWiopIu2RIh8W/jEOb/l8hIChYDbWqVKYYgkJCzB4E+rhZXWTOlAHDv5mB1x5emPPD58jsEn0UDFGqDQKlcXZSFyIiS2TrlAnBvs+0961srdQlIjRCOxxMzl7JzosGM4GIiIjMzz84BPOOn8KntarBzkA9mY+KGG4jbk61C+TDhsvX9eoVXX/1Gs3+XIqlXdurx1MLaeP+67efYoYMC/v2U1QsXQzJRZ2q5bB/9Sz8d/wcalcpa+7FITJtEIiICJbeIUwnCCRsnWwQ4vuuFlA4EB4cDhuH9zuXoYGe0QJDRERESW3dunUIfTe8xtbWFh06dLDYlf7I0wu9V27AlRcv8eqtn6qvkxLI0LTyObNj8LrNOPnoiXb626BgdFm2BnPbt0KbUsWRWrRrWhctG9aEnV3yO8SV7B+pU2TMs5dvkD6tM9KmcTbpcpFlMtsn5Pa9h9ix7xDuPniMkJAQuGXNgjrVK6Fujco82CEii2kTb6MbBHpXF0g3CBQRHorwYF/YOKQ32XISERE9ffoUwcHBakXY2yddcePkTgort/97BV77+av7C0+eRSm3bKrrV0qQK2MGbOzbHTMOHcUv/x1VQ9ZEcFgYBqzdCHd/f/SrUhEppQD0vH82oVf7JkaDJckxABQbd08fdBryDdKkccI/v31r8uLVZHlM/imRM9rfTZ2NP/9Zq27rmrt4BaqUL42FMycjS+ZMpl40IqIkZeuYyWAQSFeYdAhz0d/ZlmwgBoGIiIhMSzJ/Ovy9Eu7+AXrTd928je4VyqSYE9e2NtYYU782SmTLikHrNiEoNLIGoRyKfbV1N175+uGrBrWT9esJCwvDqElzsGrzPuw+dBLLZ32XKsqM+AUEoseI/+HOw6fqfpv+X2PlnO+RN6ebuReNUjFrU//DmfOXYMGyNSoA1LheTUwaOwK//vA1PunRAU6ODqp7WJ/PxkYLEBERpXQ2TtEzgWydbePQIYzFoYmIiEzp8vOX+HjximgBoOE1q+LvLh8n64CJMS1KFMWaXl2Q3lG/M8X0g0cxestOhIWHI7kGgD7/32wVABInzl9Dj5E/qABKSrdo1Vacv3pLe//eo2fYtOuwWZeJUj+TZgIFBAZhzsLl6vakcSPxSXf9scW9OrVF084DcPbiVew9dByN6tYw5eIREZm8TXz0TCBDHcI8k3S5iIiIourVq5fFrpSLz16gw5KV8IoSZPixRSN8UrUSUrIa+fJgc78e6LR0lapvpLH0zAWVITSrbQtYWyevAFd4eES0gI+Prx+CgoKRJoV3lB7aqx0ePXuJZRt2qfvd2jTCp30tt/4WpcJMoAtXrsPPPwD5cueMFgASRQrmQ89OrdXto6fOmXLRiIiSnE0choNJh7ComAlERESm5uLionexFBefPUf7v6MHgH5u2STFB4A0SrplxfYBvVDAVX+7rr5wGYfvP0ByI3V+5k0ejWb1qqn7pYsWwNo/fkCmjCm/XqKNjQ1+HjcUXwzogiZ1q6jbKTHLjFIWk2YCuXt4qevCBfIafU7RgvnV9RsPnvkmotSfCSTdwWIfDhb53UlERERJ58LT5+iwZJVeS3UxvXVT9KpUPlWt+rwuGbHtk17osmy1ynySuMO0lk1R992xWHIMBM3/aQym/rEcw3u3h0uGdEgtJOjz5eBuatibBIWIUlUmULq0adT185evjT7n2ctX6jp92rQmWy4iIlOwtnOCta1jAoaDsSYQERFRUnro6YVu/6zRCwBJYOTXNs1SXQBII3MaZ6zt1QVlsrvhz45t0bty8n6d9nZ2+OazPqkqAKQrpgAQ6+VSig0ClSlRVL25r968Y3C411s/f6zcsE3dLl+6uCkXjYjIJGyd9IeEWdtZw8rWSm84WNQf+rBAZkYSERElFa+AABUA0rSB1wSAZrRpjp4Vy6XqFe/i7ITdg3qjTankc+wl5UPovX1Hz6Lbp9/DPyCIq4VSXhDIJWN6dGjVRB3g9Pl0LGb/9Q/OX76OW3cfYOP2vWjedSCePn+JHG5Z0bJxfVMuGhGRSdg4xtIhLBwIDwqP1iI+IiJ5duwgIiJK6b7ZuQ+3XrvrTZveuhm6VygLS2BjbfKG0UbtPnQK1doOwumL1829KMnCvzsPovfnk3Dg+HkMGvszQkKi144kStY1gcTkcSPx4NETnDx3CZNnzIv2eBbXTFg8a4pqF09EZAlBIBkSFuITor0fGhAGG8f3KcER4aEID34LG4eUXwCRiIhShnPnzqkaJUIy+StUqIDU6rvGDXDntTvOPHmm7n9ep0aqzwCKi7dBwRi+YQu+bFAbJbJlTfL/d/H6HQwaO011lO4weAJ+mzgSbRvXhqX67/h5DJ3wqzZDfM/h0xj383xMGz/M3ItGKZzJg0Bp0zhj/eJZ2LhjH7bvPYg79x+pH5hsWTKjdrWK6NW5LVxdMpp6sYiITMLWQIcwW+eodYFCARd7vWmhgR4MAhERkckcPnwYwcHB6ra9vX2qDgJJbZwNfbth+IatsLG2wtcN6sDSefj7o+uyNTj39DmuvniF3YP6qKFjSUXKgkjGiwSARFBwCMZM+h11qpRNFV3AEqJGpVKoV708DhyLLKNib2eL8iULm3uxKBVIsiDQ4RNnMG3OQtSuXgljhvVX016/8cD123eRJbOrGhYmFyIiS2LjZKhDmG0cOoR5AhnyJemyERERWSonOztVHDk0PBzW1pbdojs0LBztFq/AtXfNfB54emHQuk1Y2aNTkiYKjP+0N77432yEhIbCxsYaC3760mIDQJpC2At/HotOQ7/Bk+evsGjaWFQoXdTci0WpgHVStoM/df6yyvTRkGLQnT75HDPnL0mqf0tElOIygaJ2CJPhYFGFBrA4NBERUVKS4I+9LVt029pYo2PZUnrr5sCd+5iy71CSrv+OLepj9dz/IWP6tPjxq8GoXyP1Zp/FlbOTAxb/Mha7/5nBABAl/0wgx3c1fXzf+iXVvyAiSh2FoaO2ifePXvQvLJBt4omIyHRq166tVxMoNXUCk3bwZXNkN/eiJGvDalbFpecv8O/l9wWaZx0+jmKuLmhRLOmGJNWoWApHN8yDq4vlZgBFlcU1+r4jUbIMAhUvXEBdHz15Duu27ELJYoXx4tUb7ZjP2/cexvj36dKmgVvWzEm1eEREyaJFvLDR7Q7GTCAiIkoGUmMNICmw+9m/27Dv9j1MbNoA/atUhJX0gqdoZL3MaNMct1654+rLV9rpo7ftQSFXF5TPmyfJ1hoDQEQpNAiUN3dOdG7bHKs3bsfwr3/Qe2zfoePqEpM2zRpi/i8Tk2rxiIjMwtrWUV3CQt8azwSSwtCGagIRERFRgs07dho7btxWt8du24PjDx7j949bwdHO5L1yUoQ09vZY0q09Gs1bDM+AQDXNPyQEA9Zvxd4hfZHRKeGFokNDw2DLoXcfRIpn/++3v9UwsZ4fN/2wmZFFSdJvvJmTxqJ+zSrYe/g4Xr12x/OXb3D73gO4ZsqIIgVjLnBapAALoBJR6s0GCgl8HwSytrOGlZ0VIkIitDWB5Gyl7tlJ6Q5GRERECXPm8VP8b88BvWnhERFwYCAiRnldMmJBx7bovGy1Wl/ioZc3Pv13G5Z2bZ+gTKrw8HD0HPk/FCmQBxM+7Q07BuHi7cVrd/QbPQXnrtzGuu0HUa5EYZQuVjD+MyKLlKRBIPlSaNv8I3URG7fvxeAx36NW1YrM8iEiC68L9L5ovqZDWEhISOSdcCA8KBw2ju8zhMICvRAREQ4rqySr509ERJRq251/smaj6vylkc8lI35r25zDweKgXqH8+KZRPUzc/T6ItvPGbSw9cwG9K5eP9/aYtXgdDhw/ry5nLt3A/B+/RK7sWeI9H0slJwp7fzEZF6/dUfelm9rQ8dOx658ZqpA0UWxMejRRKH9eDO7TBY3r1TTlvyUiSvYdwmxj6RAWER6K8OD32UNEREQUu/DwCAxbvxVPvX200+xtbPBX53ZI7+jIVRiPQtGtSxbTm/bNzr24/do9XuvwyOlL+HneCu39s5dvYvbf67gd4ploMeXLgbDVKdgu2VQeXu/f40TJJghUqnhhfD9mONq3bGzKf0tElOw7hNk4RwkCGegQxiFhRERkKp6ennqXlOr3oyex9/ZdvWmTmn2EsjnczLZMKTXwML11U+RIn1Y7LSAkFIPWbUJwqP6Jq5jkzpEVpYtFNhAShfPlwrcj+iT68qZ2FUsXw4h+HdTtQd3bYMfS6cymojhjFTQiomTQIUyGg+kKi5IJFDnNE8jAemlERJT0li5diuDgYHXb3t4eI0aMSHGr/cqLl/hx/0G9aW1LFUefBAxhIqhC0DNaNkGXFesRWR0IuPz8JVacv4g+lePWTS5vTjdsXjgV/5u5GCs27cGCqV8hjXPCC0xbssHd26B6hZKoVaWcuReFUhgWlyAiSg6ZQE5xyQRKuWdiiYiITEmyU4Zv2IqQsPd1gAq4uuDX1s1YB+gDVMuTC0OqVVK37WysMbFJA/SqGL+gmoO9HSZ/ORBH1s9F8UJ5P2RxLJqNjTUqlCpi7sWgFIiZQEREySAIZBtlOJjhTCB2CCMiIoqLXw8exdUXr97/9lpbYV6H1kjnyMK5H+rz2tXw0t8fQ2tWRZnsCR9Wl9ONxaCJzIFBICKiZDAczCbKcLCohaHVNGYCERGRieTMmROhoZFZqba2KeuQ4fzTZ5h5+JjetM9qVUf5nDnMtkypiRTWntehjbkXg2Jw4+4jWFkBRQvk4XqiaFLWNzoRUSpgbesoLcJi7A4WFhB9OFhYIDOBiIjINDp0iCw6m9IEhoSqYWBh4ZqqNUDJbFkxul4tsy6Xpdp96BQK5s2pLmSa9vGL1mzDD7/9rYpuS8FoW1v9fUwi1gQiIjIDa/sM+vftrGFlZ6W9H+ofpn7IdTETiIiIKGav3r6FFd7/nkrdmjntW8KeB8ImIfsuQe8yyB49e4kh46ejYdcR+HPFZoSHv6/PRIlP1m+fUZMx/ucFCAwKxuWb9zB/xSauaoqGQSAiIjOwdjBQF0h3SFgEEB6kv7MUFuiJiAjuQBERERmTxyUj9g7ui+E1q6rhMKPq1kIpt2xcYSbwzNsHPZavwxebd6iAxOcTZ8HPP0AFJL6Z/heGfzOD2yEJWVtbo0j+3HrTfpm3Aq89vLjeyfzDwQKDgrBywzYcOXEW7p5eqFm1AsYM64/Xbzxw4uxFZMviiioVyphj0YiITMLaIWO0aTIkLMQnRK9DmI3j+xTeiPAwhAe/hY1Dem4lIiIiIxztbPFdkwZoW7o4SmZjAMgU2T9/nz6P/+05gLdBwWpaSTsnHDt7Re95HVrU43s2iX0xoAu27T+Oe4+eIVf2rJg2biiyZIq+z0mWzeRBIAn0dOg/Ajfv3NdOy5Y1s7q2s7PF8K9/QBpnJ1z8b5O6T0RkCcPBhE2UDmFSHDpqD5PQAHcGgYiIiOKgbI7sXE8msuvmbW0ASPx1+xaWz5mIr6f8jkdPX6Lnx03QoEZFbo8k5uTogOnfDMf2/cfx9dAe6riayOzDwcZMnKYCQC0a1cO4kYP0HsuYIT0a1qkGDy9v/HfslKkXjYjIZKwMZgLZxt4mPpApvURERJR8WFlZ4ZdWTeFsb6ed9tjLG/s93+DAqlkY0a8jvhvZ16zLaEmqVyiFH0YPYACIkkcQ6MWrN9i5/zDSpU2DWVPGI0+u6G0aixcpqK5Pn79sykUjIjL7cLBomUD+0TuEhbJDGBERmcCyZcuwaNEidZHbyVV4eATOPn5q7sWweLkyZsCEj/SHey04cRo33D0wdlhPpE3jbPHriMgig0BXbtxW1+VKFTMamcyZPXLc7vOXr025aEREZh8OFr1NvIFMoADPJF0uIiIi4eHhAXd3d3WR28nVivOX0PTPpRi6fjNevfUz9+JYtH5VKqBy7vet4KXJ6eebdiA4NPr+DBFZSBAo6N04UU0kWCr2R+UfEKiubdnGkYgsLRMoynAwqQkUFTOBiIiIIr3x88f/du9Xt9devIoasxbgxMPHXD1mYmNtjV/bNIOdzftDzOuvXmP2kePcJsnAy9ceGD1pDnx8GSy1dCYNAknXL82wMGNu332grnNldzPZchERmZqVjQNCw/WDPrZRhoOFGRgOJm3iiSj1kWHwvy9agckz5mH/4RPaE2OvXrvjrZ+/uRePKFmauHs/PN+dQBZOdrYomS2rWZfJUl2//QCDx01DRitrfF6nht5jMw8dxyNP1jQ0Z/e2FRt3o07HYfjn3934ZcFKsy0LJQ8mbb9VpkRRpE+XFhev3sSzF69UETFdbzw8sWHbHnW7Xs3Kplw0IiKTCwrX7/1lbWsNazsrhIdEaDOB5Idb97sylEEgolTF960fBo76FgeOnNROk899g9rVcP7yNbTv+xlqVa2IdYt+M+tykuUZPHgwkrOj9x9hVZQaopObN0I6x6h9NSmphYeH46sf/8Cpi9ex98gZjBncHUVcXXHL3V09Hhgaim937sPfXdtzY5jBnsOn8cUPc7T3F67eiq5tGqF4obzcHhbKpJlA9vZ2GNq3q/qi6DdiPK5cj6wR5OcfgK27/0PrHkPUzlDtahVRsWwpUy4aEZHZg0DRhoRFAGFB4dEygSIi9KcRUco1csKPKgBUqVwpNG1QW++xGpXLI1cONxw7fT7GLGpTkn04yUyS6/gKCAyCp7ePwYuP79skWV5KOAcHB71LciI1ZsZs2ak3rWHhAmhVoqjZlsmSrdq8VwWAxFu/AEycsQhDy+gfy227fgsH7twz0xJato9qVUKlMsW098PCwrFu+wGzLhNZUCaQ+GxAT9x98BhrN+/EhSuRXxZ7Dx5TF1GscAH8/tO3pl4sIiIzBYHCog0JC/EJ0RsSZuv4fphYRHgYwoN9YeMQvbA0EaUsd+4/wrY9/8ElQ3qsXvArFq1Yr7qoakgWYKWyJbHx2QscOXkWHVo1Mduyevv4Ysnqf3H8zHkEB4fAwd4e1SuXR+/O7VSWd1xs3rkXazbtMPiYW9bM+H3q94m81JRa/X70JG6/icwyEY62tvipReNoowzINM5evqV3v1+nFuhevwYOvH6FTe+O98S47XtwcOgnsGftV5OytrbGlC8HoUnPL5Ajqyu+/6I/WjbUH7JHlsXWHG/C2T9OwMctGqlA0I3b9xAUHIzs2bKiSf2a6NmpDRyT2dkGIqKkCwLp1/qwidIhTIaERf1GDA3wYBCIKBU4df6Sum5YpzrSSNMMAwewkgkkHj15DnORDJ5vp/6GJ89eqINs6fAq9Yr+O3oS9x89wY8TRqmgUFxJgxBbG/3vurgGkoieeftgxqGjeivii7o1kS+TC1eOmUz/Zjia1K2KcT/PR2hoKL4a0l1Nn9ikAfbcvAP/kMiTW3feeODPE2cwrFZVbisTK1O8IBb/Mha1q5ZDGidHrn8LZ/IgkEb9WlXVhYjIUhkKAtlG6RAW5m+gTbyqC5Q/yZePiJI+u0a4ukR2CzSUxSAnz0RomPlaLG/ZtV8FgArkzY3Rw/ojW5bMePn6DabN+UsFgbbvOYh2LRrFeX7jPx+CIgX5HUYJ88Oe/xAQ8r5xQuHMrhhWk8cU5ta4TmXUrFwaDx4/R7q0kZ2gc2ZIj5F1amDKvoPa+/ldGawzl6b1qpntf5MF1wQiIqJYagJF6RAWGhC9QxiLQxOlDhnSp1PXUhPHmMdPn+t1WDUHyfgRnw3opQJAkcuTGZ9+0lPdPnA0spsZUVI78/gp1l26qjdtSvNGHF6UTEiGScki+gHeoTWroFjWzKpj2NFPB6B58SJmWz4iMmMmkIwlP3TiDG7fe6CKQksXjKiKFSqAVk3qm2PxiIjMFgSKlgkUYCATKIBt4olSg4plSqrr42cuROsEKLy8fbD7v8hhL1XKlzbLMkqASrJ+ZFha7pzZ9R7LmzsncmbPhqfPX6rGHunSponzfAMCAmFlbcUSAMnY0aNHEfYuA83GxgY1a9Y06/KEh0dgwo69etMaFymEeoWYVZacOdja4sCQ/rC1Ye4BkcUGgc5fvo7+I8erFvExadOsIYNARJSqBYdFr6ERrSaQgeFgoYEeSbpcRGQaRQvlVx3ApPvX1Fl/wlGntfXDx08x/OtJ6mSZPKd4kYJm2Swv33Uly51DPwCkIcEhCQJJoCiuQaBpvy+Eh6eXup05kwvqVK+MDq2awsEh7nWFKOmdOXMGwcHB6ra9vb3Zg0AbLl/F2SfPtPdtra3xv6YNzLpMFDcMACVfnt6++GnuP6qDWKPalc29OJQag0AhIaH45PMJKgAkZ446t22OHNmyGBwDL2eXiIhSszDYwtrOSfrA63UH03uOgeFgYQwCEaUav00Zj7Y9h2LmgqXa/aGFy9dhzsLl2q5ZMyaNNdvyBQQGqmspBm1IWmdnbWZPXEkAyNnJURWcfuPhiQ3bduPi1ev439cjY80MGjvpF4PTbazCkCu7G/z99eusJVRAQAAsnW6mvtxOrHWbkG0hNYAm7tZvad27YllklyLlZlouSyXb4+91u/Dk5Rt80b8TXF3Sm3uRLNaHfE9Jm/jVW/dj+p+rVSDo4InzqFK2KOxszVYyOMULSILfDed3v7GJzaRb+dylq+pskXSA2LnqT2TJnMmU/56IKNmxdnBBuP+L9/dtrWFtZ4XwkAhtd7Cow0RCORyMKNXIncMNu9YuxIx5S7B55368dvdQwRHZV2rRqC6++nSACgSZi7V15HdPuIGh+7qBAhnaFZssrpkwvH8PVCpXCunSpkVISAjOXLyCRSvW4+6Dx9i6+4DKCCKKysHWBmPqVMfUg8fw6q0fXJwcMaJmFa4oM3jj6Y25/2yEn38gtuw9is/6tEev9k1hbxf/w8rrr14jd4YMSMssQJPz8PbBT3OX461/ZODiwZMXWLl5H3p93MT0C0MmZ9Ig0BuPyNTfimVKMABERCRnrx0y6gWB1DRnW4R7R7ZTRYRk/oTDVmeYmHQHi4gIh5UVx9cTpQYyJGryuJHqIh3DpBOYS4b02s5g5pTGKfIspK/vW4OP+7yNnJ4mDmcrG9Surnffzs4O1SuVV8PIvps6C+cuXo01CPTjhNEGpy9YsixJzpom1VnYlKBp06Z6NYHMvS56Va2Ej8uVwazDx5HbJQOyZ+LJZHP445/NKgAk3voFqMDB4J7tYG9nF+d5PPfxxY/7DmHVhUsYVbcmvmpQJwmXOPVLyGczr7MzPuvbAVN+j/zuFIdOXcLgHu0Seeksj3MK+N0waRDILaur2ducEhElJzaOLngX7tGSgE+IJgj0bkiYbhBIAkBhQT6wdYxsK01Eqa9jWHKR3S2rur7/+InBxx88eqoyFbNny5Lg/5E/T2517evnl+B5UOIrVqxYslutkjEy7qO65l4MixUaGoZHz/Trun43sm+8AkAXnz1Hq4X/qCF+Yu7RU+hdqTzcktl3nyUY0K01/l63Q51wGDesJ9o2qW3uRaLUGAQqX7oE8ubOgSvXb+Otnz/Spkn+UTIioqRk7RA9kGMTpUOYDAmLWiVDsoEYBCJK2STrx8PTO07PzZAhHTJlzABTk1pA+fPkwv1HT3D52k2ULlFU+9iFK9dVTZ/CBfLFWsvHUPcz3XIBIlNGBraJkjNbWxssmzEeuw+fxk9zVyBPzmxoUrdqvOZRyi0b8rpkxI13Ref9Q0Iw9cBhzGjTPImWmoxxcnTA8lnfIX/u7HDkkDyLYtIgkEQZ5079Fl0GjsIX3/6EGf/7GmkYCCIiC2bj4BJtmm7Wjwgz1CEswAMOGdkWlyglW7p6IybPnB+n5w7v3x0TvhgCc2hcrxbmL12FWX8uxYCenZFPBYUeY8HS1erxJvVr6T1fahoFBgXB2dFR2/FLWsh/89NMNKlfGwXy5kYml4zw8fFVNYE279ynnlOzSgUzvDoiig8J5japUwXNG9SEl7ev0eCuMTbW1viucQN0/WeNdtqKc5cwqHplFMua8IxCSpjihfJy1VmgJAsCHT5xBtPmLDT4mBQ7lOKHew4eQ+H8eQyePapdvRLGDOufVItHRJQsWBsY0mUTpUNYqMEOYZ5JulxElPSkU2r1yuWiTQ8LDcOd+4/g4eWtgiVFC+VD3lw5zLZJGtapjpPnLqrMn6mzF+g9JkWe69bQL9D777bdWL91F/p2bY+WjeuraXKgKM1BFi5fa/B/VK9cHg3r1kjCV0Epzbknz5DOwQE50xjuTEfm5WBvh2xZElaXqWHhAqhTIB8O3XugLTw/cdcBrOzZKZGXkohMGgRy9/DCqfOXY3yOtBO9dO1WjGPQiYgsLxNI/6s5LCB6JhCDQEQp38ctG6uLIeHh4Zj2+yLM+nMZOrdpji7tzDdUQooCjx0xGNv3/odjp8/B08sHLhnTo2aVimj+Ud1oBaydHB2RMX06bRaQkOLPs6Z8g32HjuHm3fuqC5q9nT3y5MqOWlUrqgLRRBph4eEYuXE7br5+g05lSuDzWtVQIAUUW6W4kaDwd03q46N5i6FpPLj39l0cuvsAdQrm42okSqlBoEb1auLUbsNne+LC2ckRycGrNx5w9/BUOy+5crjF6289PL3w+Jl+1x8N2WEqXbxIIi0lEaWmTCDbqJlAhoaDBXok6XIRkXnJfsJXn36C/YdP4OsffkG9mlXM2ipeaoG0btpQXWLTrkUjdYkqh1tW9OzUNomWkBLb8+fPVTBS837Mnj27yVby2otXVPtwseriVey6dRcXRw+HUzwKEFPyVia7GzqWKYU1F69op32/ez/2DuoLa+v4DTGjxOXj64dZi9ehZqXSqF+Dw3RTI9ukLCQol5Tq1Rt3zPlrGa7evKO38zKsXw8UK1wgTvM4d+ka/vh7hcHH7GxtserPmYm2vESUMlnbOMDGLg3CQt53xbFxisNwsAAOByOyBNUqlcXFqzewc/9h9OnC1r1kOmvWrEFwcLC6bW9vjxEjRpjk/waGhGLq/sN607qXL80AkJn8vXY77j9+jhH9OiJTxvSJOu+xDetg89UbCAyN3M+5/Pwl1l26gk7lSifq/6G4CQ4JwdJ1O/Hrn6vg4e2LvUfOoE7VsioblFIX/fzdJHbi7EX0GPol5ixc/kHPSWpSzHDitNkqACQZScULF1QdOZ69eIVJv85V1/GRJ1cO1U1D91KKWUBE9I5NlGwga1trWNtZ6w0Hk846ukJZE4jIIti+2/mWzGQiS/D36XN44u2jve/i5IhBVSqadZksle9bf/w8bwXmL9+Eqq0H4rdFaxAUFBkYTAy5MmbAwOqV9ab9uO8Qgt4Fhci0PLx8MHnOUhUAEjfuPsSabQe4GVIhk3YHe/HyNfYePBZjhlBcnpPUdu47hBev3qBowfwY/8VQtSwyNnne3yux//BxrNq4DV8M7hvn+XVq3UwVPCQiMsTGKRPg+1R/mrMNwr0j0/ARITWAwvW6hklNoIiIcFhZmTSWT0QmFBoain2HT6jbWTMnrAArUUriExiIXw8e1Zs2vHplpHeM3kSGkt7cZf+qwIDw9fNXWSK92hmuY5ZQI2pXw/KzF+DuH6DuSwBw6ZkLGFCtUqL+H4qdWxZXDO7RFjP+iuz8KDbvOYKurT/i6ktlTBoEimsamma4lLkcOXlWXX/So5M2GCXtDPt164ATZ87j9PlLCAoOhoP9+4KHREQJZetouE18iHfk96EICwjVCwJJACgsyAe2BmoKEVHKcOX6bZy9dNVoXcFtew7ixu17cHSwj9aGnSipFSpUSAUiha2J9svnHDkJz4BA7f1cGdKjR4UyJvnfpE8ykE9duKY37csh3fUKvieG9I6OGFmnBr7ZuU87bcahY+hWoQzS8FjL5Ib1aocl63YgjbMjRg/sig7N65l+IcjygkAXrtxQ15ldox8UmUJIaCgePX2muloUyJdb7zEnRweULFoYpy9cxuMnz1GoQN44zVN+QG/fe6CK67llzYIM6dMl0dITUUpk4xj9DL9NlA5hoQFhiHoeVLKBGAQiSrkOHDmByTPnx/ic9OnSYtaU8cieLYvJlotItGjRwqQr4oXvW8w/flpv2tcN68DRjCeGLb2D17p5k7Bl71H8NPcf2NvZqYBAUFBQov+vPpUr4I9jp/DMJ3IY0uu3fvjrxFmMqFM90f8XxSxtGmes/eMHFM6fS21zSp2S/Fv1wJGTmPTrH+q2t+9bdf3f0ZNo+HGfaM/19PbR1tupV6MKzEHOvIWFhSN7NsMt6jU7Ya89POIcBJr11zJtdwVRsmghfNKzM/LkjL3LwthJvxicbmMVhlzZ3eDv7w9LFxAQmT5KXLcp8X2rrq2c9b4jhI2T/jCvEL+QaM/x83qOMPtsJljalIXfCVy3puL8gS2rq1UqpzqAGSJn2/Pmyom6NSqrnXKi1G76f0fg/25EgCieNQs6lCmJoMD3mUFk+kBQ60a10KxeNTx/7Z5kBYId7Wwxql5NjNq8U913dXZCxmTSKdoSlSyS39yLQCk9COTt46vXYSty2lt4++hP0w2y9O/eQbVCTShp6f7k+cs4P18CPpqx9ppiZ45Gxh47OUZ+IQUGxj0KLkPKcmTLirf+/njx6rVaH+Mn/4qfvhmNnNl5AEdk6Qy1iY/aIUyKQ0cVFsQOYUQpWeXypdWFyNI98PDEP2cv6k2b0KiuKsdA5mdnZ4s8OZL2mKVr+TJYcvoCmhcvjEHVKyOtA+tAEaXYIFDzj+ri6pGt6vaOvYcw+vuf0fyjOpj2/ZfRIs2ODg6qG9eHOnnuEhYuXxvn53fv0Boft4gscqaJcIeFRT/gEqHvpmu6dcQku1tWTPzqM5QqVkQ77bW7B35ftByXr93Eqn+3YdTQfjHO48cJow1OX7BkWaKchUxNuC64blNitoqTkxPsHHLAO8qOrp2zfgpuWEA4rKM8xzbcn+/7GPA7Ielw3RJRYvr14DGE6mS7Vs2TC42KFOJKtiB2NjbYO7iPOiYkohQeBLK3t4OrfeRZ7ioVymD8yEEoUjA/XF2Srphp5kwuqg17XOl23EiXNo269tJpTalLMz3tu+fFRIZ9RZXFNRNGDemLvp+NxdWbt+O8jESUetkYKgztHHsmUGggW0YTEVHKdtfdA2suXtabNrZhXQYDLBADQMmXn38AFq7aiu7tmsDVJb25F4c+kEkrrRUpmE9dkpoEm+SSEFKAUS5PX7yEf0AAnJ30W9XfuvdAXefOEXs9H2PSODvDwd4uSQqrEVHKY23rABu7NAgL8TM6HCw0ILJDi66wAA4HI0oppEbijn2HEvz39WtVRbOGdRJ1mYiSg1//O4qw8Ajt/ToF8qFm/jxmXSZLdf3OQ1UIelD31siQLq25F4eSgcCgYNUtbNbidXD39IaX71t8O6KvuReLPhDL7RtQrmRxHDpxGrv2H0G7Fo200y9du4nHT58jVw63OHUv8/F9qwJKUR09eVZ9oPLlzvmh24+IUgkbJxe9IJC1rTWs7a0RHhyuzQSSdq26Z8mYCUSUcly5fgtL12xK8N/L/gSDQGRKCxYsQHBwZK1Me3t7DBw4MEn+T4lsWeHi5KhtDf9Vg9pJ8n8odr8sWIlt+45h4aotGNyjLT7p0grp0pq/9IR3QCAysFC0Wew/ehbf/bpQe3/R6m0Y2K013LK4mmeBKFEwCGRAi0b1cPjkGaz8d4sq5lyiSEHVtWzdlsiK9a0aN9B7vrunF548e6GGeuVwe99VbNhXE1XBR8l+kiFqb/0DcPnqDTVv0ZBtD4lI82XsmAnBPk/01odkA2mCQIiQlvBhsNVpHR8W6IWIiHBYWbFwJlFy17pZQ5QsVjjBf583d45EXR6iuNSu0wSBjNXKTAzDalVFr0rl8OfJM7j56g2q5MnFjWMGV27eUwEg4e3rh6l/LMdHtSqhdLGCZtseL3x88euhY1h9/jIODuuPfJliPwlPiatpvaooU6wgLt24+z4zaO0OfDW0B1d1CsYgkAHS+r17+9ZYvn4zNm7foy4adapVjha8OXPhMhYsXY3WTRqgd5ePtdOdnR1x8NgpdYmqcf1aaNawbuJuTSJKsWwMdAizdbJBiPf7drmSDaQbBJIAUFiQN2wN1BQiouQlb64c6kJE0aVzdMAXdWty1ZjRik3vj3dEiwbVzRoAWnbmAsZt34PA0Mjh8DMOHcNvbVuYbXkslTQlkYBP988mIme2zBg1sAs6tWxo7sWiD8QgkBEyDKx4kYI4ePwU3rh7qoLRktVTvVL5aM+VItdSiFq6gen6/afvcfrCJVy7eQcvX7vDxsYaOd2yoVqlciiUP++HbjsiSkVsnaKn1do4639Fh/qHweF9HXttXSAGgYiIKLFJx1xN11zNNaVeP4z6BJVKF1NDwu4/fo7RA7uadXkKZXbVBoDEmgtXVKAwbxI2FyLDGtSogHlTRqNZ/eqqri2lfAwCxaBY4QLqEptK5UqrS7SVa2ujgkaGAkdERHHJBNIVZqA4dGigJxy4KomIKJENHz6c69SCSKDv42Z10bpRLZy8cA3FCyd9M5+YVM+XG7Xz58Xh+w/V/dDwcMw8dAwz2jQ363JZIqlH2bYJGxOkJkkWBDp84gymzVmI2tUrYcyw/mra6zceuH77LrJkdkXxOARXiIgshY1jpliDQJIJFFUY28QTpXieXj5Yv3UXLl69qZpKhIW/qwWmo1Xj+ujctplZlo8osXn4+yOTs/kLDhMMnsSuWSn6yW1zGF2/ljYIJFadv4zP69RAHmYDESXPIJC7hxdOnb+sN0Tq6KlzGDzme7Rp1hDzf5mYVP+aiCjFsXXKFPtwsIAwg5lARJRynblwBT2HfglPb58Yn1esUH6TLRNRUrr47Dla/LUMPSqWw8ja1eGWPh1XOBlUI18e1MyXB0cfPNJmA/12+Dimt2ZAnOhDJFlLGUfHyAEKvm/ftzwmIqLEHQ4WFuDBVUqUQoWGhmLQ6O9UAKhXpzbqIjq3bY4/f/0BhQvkQ2ZXFyyd8xMG9Oxo7sUlShS//HcUQaFhWHjyLCrPnIc1Fy5zzZJRY+rX0ru/8vwlPPHy5hpLBqRT2PFzV8y9GJScgkCa4V5HT57Dui27cP32Pbx49UZNe+vnj9v3HsZ40TyXiMgSWNs4wMYuTbQW8bqYCUSUuhw/cwFPn79U7d9//m4McudwU9OzuLqgVZP6+HfJbAQEBGLq7L9UEwqilO7Ki5fYeeO29n5QWCjK5shu1mWyZFv2HoWffwCSs5r586J63tza+yFhkdlAZD4BgUH4c8VmVG09EF2Hf4+Xr3lCMqVJsuFgeXPnVGeyVm/cjuFf/6D32L5Dx9UlJhwyRkSWxsYpE8JC3mdPWttaw9reGuHB4doW8REREapAnwZrAhGlXHLSS1SvVC5ywrvPtnzOReZMLmj+UV2s3bwTh46fQYPa1cy3sESJYMbBY3r3W5UohqJZM3PdmsGl63cx4KupyJQhHQb1aIO+HVsgfTr9k1HJKRvo479Xau8vP3cRI+vUQM4M6c26XJZq0Nhp2H3olPb+70s34H+jPjHrMlEy6g42c9JY1K9ZBXsPH8er1+54/vINbt97ANdMGVGkYMwV54sUMG9FeiIiU5NW78E+j6NlA2mCQIiQoE8YbJ3ef3WHBXojIiIcVlZJlthJREkk/F0B6PRp06prezs77VlWjTy5IrMkrt64zSAQmdS+3duAYA9YRQTD2tYZdT5qA2u7hBdzvvX6DbZcu6E3TVp+k3nMXLhaXXt4++LH3//BgycvMOPbz5Ll5qiVPy+q5smFk4+e6GUD/dyyibkXzSL1at9ULwi0dP1ODO/dHlkzu5h1uSiZBIFUO7nmH6mL2Lh9ryoMXatqRRaGJiKKwsbRxWBdoBDvEO39MH/9IJAEgCQQZOvEH16ilCb3u2Ewz1+9Vtdu2SIzIp48e6F9jo/PW3Ud/i47iCgpSRaa/4uz8Lq1ETleHIK11fv33e3V85E2dy1kLNIWzm4V9bJS40Lae+u+jZsWK4ySOg1kyHSu33mI7QdO6E0b1L1tst0E8l6TbKAOS1Zppy0/e1EVFs/BbCCTa1izIsqWKISL1+7ALUsmfNq3Q7LNIiMzBIGiKpQ/Lwb36YLSxYuY8t8SEaXYDmG2BjqERZbdfy8s0JNBIKIUqFzpYrCxscG1m3fU/UplS6nrY6fP4+Hjp8iQPh227z2o3YciSkqB7jfx/NgUBHvdU/eto8Z4IsLw9tFBdbHPWADZa4yDo2vROM37nrsH1l+6pjdtFLOAzKZg3hyYPmE4Zi1eh4dPX6BFg+ooVjAPkrM6BfKhcu6cOP34qbofHBaGWUdO4KcWjc29aBZHgnITPu2N2w+eoFubRnB0sDf3IlFyDgKVKl5YXYiIKG6ZQNGLQ0fvEBYa6AEHRBbjJ6KUI1uWzKhTrSIOHD2FIyfPoVbVCqom4qYd+1CzZTfY2dqqoWEF8uZC43ocNkNJx+/ZaTw9OB4RoXErEiyBoke7P0XOupORJkflWJ8vQ3d0s9kaFCqAcjlZENpcZOhp93aN0blVQ/y76xBKFcmP5E6TDdRpaeQwNrHh0lV826g+nO0jh9KS6dSuUlZdKGUyaRAoajHEHfsO4e6DxwgJCYFb1iyoU70S6taoHO/0UiKiVDsczDlKm3j/sGjPkUwgIkqZ5kz9Fh6e3qpeovh14ldInzYNtu7+DwGBgWq/aMr4z2FnZ7ZdNrKADCDDASArOLoWg62TK0ID3BHoLvV83gdy5Pnyd3kaz44xI+iRpxfWXNBvIz2KQc1kwdbWBh1b1EdKUa9gflTKlQM3X7vjk6oVMbB6ZQaAiBLA1hxjjb+bOht//rNW2/1CY+7iFahSvjQWzpyMLJmjD4sgIrK04WA2OvV/jLaJD2BrTqKUSlq/67Z/T5PGGdO+/1JdiJKa7Is/PzpZPwBkZQ2Xou2RsVgH2KfLoZ0c7PsMXjfWwfPmeiAisqi5/J0MIcvX8m+jJ3HnHDmB0HdF0DVFfqvkyZWUL4tSKXmPzfm4JbKkTYP0jo7mXhyiFMvkQaCZ85dgwbI16rakNkv2j7OzkxoPv3zdFpw6fxl9PhuLrcvnMSOIiCyKjeP7A0HdwtC6wgwMB2MmEFHKdOHKDaRN44xC+ZN3LQ5KvaQIdLD3/fcTrKyRo+4kpMtdO9pzJSCUtfJncHIrj2cHJ2gDQTI0zP/FOaTJXjHa3zz38cXyc5f0prEWEH2IgplduQKTsZCQUDX004FD9JI1kwaBZFz7nIXL1e1J40bik+4d9B7v1aktmnYegLMXr2LvoeNoVLeGKRePiMisrG0cYGOfBmHBfsZrAhkYDhbK4WBEKdLh46cxeeZ8VK1QBt3at0KrJvXh7MSz2+YUHuKPIK97CAoMVPet/FL39nC/vETvvmQAGQoA6ZLH5XmeN9bqzcfa1sFAR7ArqoCvRqXsLqiQ1gcBr/WHh8XEUrZFUvP2DYCDvS0cHT6sfg63R/KRnLZFUHAI1u4+i/lrD6N36+r4pH0tWPr2cMhYANZ2zoClB4EuXLkOP/8A5MudM1oASBQpmA89O7XG/CWrcfTUOQaBiMji2Dhm0gsCWdtaw9reGuHBkWdcwwLDVPq+btp9WCCHgxGlROVKF1dZQCfPXVKXb376DW2bf4Tu7VuibMli5l48iyQBoEc7h8AyWakhYHEhz/O8sU5bIyjg5flo6y0o3Brr7jeQHCLttC5Wu/B4V+QJYTKt3/5zwn+37NGlYiBalwmCE2spUyK598Yaozakg4e/tbo/b8VW1HNYDnsLL2WXp+kfcMoS2fUzuYncUibi7uGlrgsXMN7mtGjByOr0bzxY6JSILI9tbB3CIiIDQbrCAr0R8S4tn4hSjtrVKuHI1hXYvGwuOrdtjtDQMCxdvRFNOn2CRh36YdGK9fD28TX3YpKFkCLQujWAYiLPk+fHxME6HP/kPYSeLneQ1joExRy8UNX5TSItLcWHl78Vtl1xUAfpcw87o/OiDHjlm3oa8fiE2WGZRwEVeCTTy+0SDhudVe/uZ42d19k2PjkzaXwuXdo06vr5y9dGn/Ps5St1nT5tWpMtFxFRcu8QFuIdotchzFanYLQEgCQQZOsU/W+JKPmrUqGMukweNxIbt+/Fig1bce7SNVyefAs/TJ+LFo3qYVi/bihepKC5F5VSMekCltjPz2QbjEGZb6G7yz14hDmADYDNY/0FBwSFvg/65Egfjixp9Rv0pERvQh2w2jM/NnrnQUCELdJZh6JtxkfmXiyLY2cDlWE2+2Dk0KeMTuGwTj0xxlTJpOHSMiWKwsbGBldv3lHDvaJ66+ePlRu2qdvlSxc35aIRESXbDmG6AR9jHcI4JIwo5ZMi0T06tsb2lQvw36alGNizE5ycnLBuyy6s37rb3ItHqZy0gU+q56e1CUUe+/dDncm0sqaToM/7jOFulQNTRUDuv7duWOlVQAWAxHLPAgiNSAUvLAVqUSoIRbKG4rN6/ljdzxstSwWbe5EouQSBXDKmR4dWTVQ9iz6fjsXsv/7B+cvXcevuA3Xmq3nXgXj6/CVyuGVFy8b1TbloRETJNhMoenHo6B3CWByaKHVxzZgR2bJmRsb0zIwm0wh0v6HawMeFPE+eTylDq9LBWNnXG1818kPNAsGoVfB9dnFK1jL9Y2S0CdLefx7qjL2+2c26TJZKakwt6OqL9uWC4Mh6U8meycs1Sarzg0dPVAHEyTPmRXs8i2smLJ41BU6O0TsMEBFZZCaQc9Q28YYygVhHjSilCwsLw4Gjp7Bi/Rbs+e8YQkJDVRH42tUqokl9y+u0Yg7SzUWKeQa+6/Li6Gj+rjtJ6fX5+Qh4eeHdvQh43Vin2sDHxkunKLRwylYeWcoPTJJltJRtYQoFWwCDU9n2GHTmNqYefx+QXBVcC580qQfr1JDqlMK2haULjLI95PckubI1R6rz+sWzsHHHPmzfexB37j9SOz3ZsmRWOzm9OreFq0tGUy8WEVEyzgSKfThYaAA7hBGlVA+fPMOqDduwauN2bd1Et6yZ0bltM9U6Pm+uuBXrpQ8n7Xylm0uEv7+67+ScPNv7JhbX0r3xRBsEAjxvroeTW/kY28T7Pj6snhd1PrLewsLD8eeJM+hcrjRcnJ0SZRktZVukFMltewysXwh/nL8Pn8DIjKA7nm9x4I09WpYoitQuuW0LSxeRgraHWRq32draqmFhciEiolgKQ0cZDhZmYDgYM4GIUh4ZEj9l5jwcOXlODZWXuomN69VEjw6t0LBOdXWfKCk5u1WEfYb8CPa+HzkhIhzPDk6AS9H2qg28brcwGQImGUAqAKTTkdI+YwE4u1VQtzdfvYFvdu7DT/sPo3elchhcowqyp0/HjUhJJr2jI/pXqYgZh45pp80+fBwtihdRmZRElEyCQEREZJi1jT1s7NMgLPh9AU2bKMPBDGYCBTITiCilOXLiDA6fOIu8uXOg28ct0aVdc5UZTWQqcpCcveZ4PNr9KSJCAyInRoTD88ZaeN5Yp9rASxcwKQIdWQNIv6OUla0TstcYp+YjgcxZh0+o6X7BwZh77BT+z95dgLV1tXEA/+NWKA416u7u7u6yurutW9d17datq3zburVdV3d3d3ej7u5eoFiLy/ecA0kTCDRQSID8fzx5kntzc3Ny7k24973nvMfWwgLfsysjpbL+lctj3llPBIfHXCS7/OoNzjx9gaq5PVj3ehQeHoGt+0/g2u2HmPxD6nQXpeRhEIgoHfAP/IhPQTH9TDNZW8HO1uaLr3nn9UE2yxacHDLDwjxtZ2lLb+VNTSaWjmpBIGMTYxibGyMqLKZ+IkMiER0VDSOV8Tcjg5kTSPE9CQ4Oho21Fax11BzXEL6flDpKlyiKjYtnoFrFsrxiTXpj6VQQ2WpOxqvj4z4HgqRohPjcSfB1IgAkXideLxx5+Bg3375TPm9tboY+FcumatlJMxGQ6/39VNSsVAodm9fN8LlWnW2s8U3pEliiMvr0rFNnGQTSo8Xrd2HO8i149c5bTnduVR9FC+TWZ5FIX6ODEVHyTJ61AmWa9Ja3fxat1+o19bqMVL7m/JVbab7qk1rekNAwvH7nLW9ePhkrAGKqqUuYamug6JhAkKrIUH9ER0Umq54ySl0qvidV2w7Bf8s36/x9M/L3k1JHtYplUL1SOQaASO9sspaHR4NZsmuXNsRyYnnxOgVFKyCFHuVKp1heIEqao2cvY++xc/jxf/NQoUU/LFq7M8NX4aAqFdSSQR9+8Bi33r7Xa5kM2aXr95QBIGH28i16LQ+pYxCIiNKlo2cuK0+iW/f7CRmJiYYRwuINEx+nS1h0dBQiQwOSVU8ZuS6JiEg7okVPrmbLkL3eDGTyqAkYxclJZWQi54vnxXKKFkDChecvcebpc+W0mYmxPCkn/fh3qRi9LYaXjx9evo1JOJ+R5XJ0QMtihdTm/XdKPTBJujOkR5t4gcmPn2ISJ5P+sTsYEVF6aAkUZ4QwTcPER4T4wNQq/msNRWZbG2RxdZLN4O0y2ej8fRWPiYjSK5HbxyZLWXmLCg9CeNB7eS9GTTOzdpX3msyKc7LdoWRxJoTWk/fevrj/SCUgZ2qKAV1awhAMrVYJW2987sK49eZt/FSvJnLYZ9ZruQyR6PpVu0oZ3L7/FP06N0f3No3kKOGUNjAIRJSC/AI+wtLCXN60zfshTlj9Az8hMjIKDpkzwdjYOEXeO6lEdD7g4+cIvbGxEYwQDdsEfrATyoMSEPhJ9j03MzNNtfKKAxxf/8+tXiIiI2VXJgV3F0eN9SjKHFPPthq7XyT0mURZo6Ki4Ghvp9UymurSxsoKtpm0++cXHG2DgOAo2FkZJ9gSKDwwHKH+YfD3i4SRpTEcnc0QGeKX5Hry/uCvVV1+7WdKiFhvRGQU7O0yJbqcNt+ToT3boleHpsqcQCm1r36pnIr3Vaw/Jff3L+2zRESpZdachQgLC5OPzc3NMWLECI3LPfDywb57D5TT4qdqWLWK3DB64ursgIu7l2DdzkOYt2obqpUrobxQkdGVyOKOWnlz49ijmNHuIqOiMfeMJ6Y0qa/vohmkf34eJo+Lmfcw7WEQiCgFHDlzCb9MW4SHz17Jk9MmtSth2vihMu+HaIYrbJgzETUqllK+5vnrd5g2fy0OnrwAX/9AOc/ayhLVK5TAd/2+QYnCebV6b/H6Cf8sxuPnr9XeO6mWbtiDyf+tiDffxdEeLepXw5hBXdQS3oo8KCs275OPB3ZthVYNq+P7Sf/h5r0n8qpTtfLF8de4ociexSXFy9uk52i8fPO5n/fTl29lVyaFW4dWwcnBTj5+9dYLfy9Yh33Hz+ODX4CytUaTOpUxdnA3ebCU0GeqVak0fvpzvixr3arlsPrfX7RaJqG6dHVyQPN6VWVdxiUCNjOWbMDeo+fw5r2PnGdvbYSGeU3RLp8RTANCPy8bZoQ5+4JwOSAEHyNjAgOWpkDVUisxZqSDct/Rpp60rUttPpM2CZET+qwiSNqpRV0M7dFWBjyS8z1R3TZ9OzXFpNEDvmpf1baccdf/67e9v2p/T8o+S0Skb3POnEe0yqBhTQoXRF5nwwg6pFXWVhbo3aGpbH0RFBxzEcRQDK9eSRkEMjcxAS+f6I+hBB/TI50Ggc5duob/Fq9GpbIlMbRPl2QvQ5SWnDh/Fd1G/i6v1gumJsbyxK/byImIjIjfZUe4/eCJzL0iWjYI4kRUvE78o95/3BNHTl/G4r/GokGNzwkXE8rl0vO7yUl674SIJpqqP9YiWbA46fb64Ccz/F+8cRd7lv0FE5M4OQIA3Hv0DG0H7FdOh0dE4OjZKxgy/m9sX/y/FC+vm7MDgoKC8SE2KGBqYgIXJ3vl8yYmMa1E7j56jjb9xiqXMzczhampqaz3tdsP4djZK9i97C9kdYs/JPOt+0+wZP0u+VjUi4O9rdbLJFSX7318lXW58u+xyucfPHmJ1v3HylY5CjYWRvAPisL6G+Fw9gtDdYeYOnsWbISJj83xKTb4Y2IUDbFFQiKMcPjiE5zoOVq572hTT9rWpTafKaH9Q5Wmzypam4l1iaSBhfPlRLsmtVP0e5KcfTUp5UxIcvb3r9lniYh07V3gR2y4elNt3tCqbAWUVpiammh9gSajqJY7J2rkyYWSWd3l0PHutom3NCYyRDpNDP32nRcOHT+DG3fuf9UyRGnJ+GkLlSd59auXx92ja3Hv2Fq4uzgpT+TiGvnrv8oT20Y1K8rlH5xYjz4dmylPTL+d+C8+feHqzS//LFa+t2hhcP/4Ojw4sQ4eWd0SfO+E9OrQBFf2LlXe7hxZjZMbZyGPR1b5/LXbD3Ho1EWNrxUn0X+MHYhHJ9dj8/zJyvnnr97Gs5dvU7y84iT475+HKadzZXdXK7uiy86IX2co19u9bSNZxw9PrEP/zi3kPNG6Y9yfCzS+x0nPaxg9sAsen9oo1/nfxG+1XkZTXV7YtQj5cmZT1uVxz2vK9QyfMEMZbCiQJwcOr/kbO3rYYGmxUAzNEQY7lXD9vJdmygBQObtILCkaKpdrmi063r6jTT1pW5fafKaE9g9VcT/r0XX/yn1A3OZM+g7ODvYp/j1Jzr6alHImJDn7+9fss0REKSlTpkxqN00WnruIsMjPQe1KOXOgXI6Y/wtE+iC6Tm/q0Qm/NKjNABBRehkdLCw8XHnFlyitE1087j9+oZz+eURP2QRX5P2YMPJzlxBVD5++xPW7j5TTv4zsJV8jrtb8NKw7rGJzhvj4+uPk+auJvveDJ5/fe9ywHvJ9zc3MMH54z6/6XIEfg/DWy0d2Xylf4vNICxeu3dW4fMVSRZStIqqWKy67zKh250nt8iZUzyIwoWjNIk6iRZ2+9fqAb1p+7ht+4KSnzA0TV+miBTCsZ1u5XRKizTKKujQxNkbF0kWV86/Glk3Uy5Vb99X6TxctmB9WrvawNAaqOUShpG1MIOF1iBGeBH/+2e6SJQIWxqI1ENC/phUszYy12ne+VkKfKaH9Q+HRs1fxPmvh/LnkYxsrS7RpXBO1KpdO0e9JcvbVpJQzIcnZ3792nyUiSkl9+vTBoEGD5E08jutjaCiWXbiiNo+5gCgtYA69tCsyMhL7jp1DeHiEvoti0NJcpOXqzZiTCGcn5jygtO9F7Emj4qRN0SpCEPlFRHLaT0HBaq958uKN8rHo6pE7RxbltDjBzJ7FFQ+evoy37JfeW3U9ottOJhsrfPyk/t6JEa0g/pi7Wg7hqMi9EpciP0lchfLlVJu2sbaUJ69CcEhYqpT3S1TrTrTGqNZ2sMblxHPPXr1F8ULqOZiKF8rzxfdIaBlt6tLPPxD29jE5eBREV6zSRfPLx5bObrDL/w4BDz6//m3Y557tpkbRcDePTcJgDDjnsYG7QxSevg/74r6THF+zf6gGRjR9Vk1S6nuSnH01KeVMSHL296/dZ4mIdGnVpWvwD/ncErOAixPq5c/HjaAH4lhz37HzMoejNoMdEOmaSCOwcfcRzF25TR5nzf59FNo2qcUNoSep/itx9NR5TPpnrnKUE+HY6fOo2yb+lVAxQs3rtzEJSmtVqZDaRSP6aqr5T6KiouXJmeqoRRER8aPc4qRSQYwcJkaUUl1PmEpkXHXZpL+39jl2RHealn1/lC0OFFdQRDZ/M1MT2epD0d1GjByliRhhSZWxhlGMUrK82lDkslE8FgmMEyJGfYpLJB/+Ek3LJFSXIpAhRtdSBAVj3tM43v4QHhEp68rUyhH2RTMj6HUQIj7F1I1o8aMQFQ2IEJCYZZ3FCibmJggPj9Rq30kq7T9T4tswoc+qzbLJ/Z4kZ19NSjkTkpz9/Wv3WSIiXfoQFCwT7yq6gw2pWkmOHEm6J3LGifQEU/5bgf5dWqJLq/ocjpvSlGUb9+DX6UuU03NXbZUtq9lqK4MGgfwDAnHr3sM48z7CP0B9nkIWNxf06dIOtaoyCERpX4HcOdSGsL5+9yHKFo/pPnXj7iOEhsV0b1RVOP/nlgjixPDq7QfK14gh5cXIQJ+XjemCokn+XNnV3vvanYcoF9t1686DpzLirq0LV+8oT/BF8ttDa2YgZ3Z3BAUF4fvJc7Bl3wmt16WL8gqqB5pRqsOSxCoSp+4OrpkBZ5WuP6on44l150qqhOpSGPbLdGzcfVRt+UJ5PeQ/QFEn4nb49EU0rVMFJpYOMDY1hlMZJ7w58R7i4+aw/HziHwUjPAoyQn6baFi5R8LLNwhv/SPj7TtfqidtlknqZ0qI2CaaPqsqEewRwZKU+p4kR1LKmZL7u772WSKi5PipXk30rlhW5gXaf/cB2pYoworUA/E/Yd7q7fLxq3feckRKWxsrdG7VgNsjln9wCFZcvIoLL15i+TdtGXjQg29a1sNf89cqLxyKEVpFbk3VkZMpAwWBmtSriVunYkbP2XvoBL7/9U80qVcDf/36g9py4oDb0sJCq6vvRGmFGKq5ZsVSOB6bk+THqfMw9ceBEI0Lxv5vvvJEUpVIGN2wZgU5upEwevIcTB0zEJaW5pgya4WyNYVIRlu5zOd8K3G5uTiiStniOHPphpweM3Uu/hg7SLZsGPfXQo3vnRDbTFbKxyLZrhjqXrSAOHD8HHYdPpOMmknd8gr2dp9H6xIBgfNXbiNHVlfZDFoMa69azyKI0OPbSRg9oLNMfOzj54+nL97KIbhFbpX1cyYipSRUl6Ib1fYDJzXuQ2Lo792x9Tx60mwZKC/kADx9EoaD10OQx8QE5aMi4WgGlLWLxKWAmADAwldm6JszHG7BwVh4JBqRUSbx9p0v1ZM2yyT1MyW2D2j6rOVLFpGj0G3bf0KWu3Wjmin2PUmOpJQzJfd3fe2zRETJJUZe+rl+LYyrW5OtgPRk56FTePkmpieFIEb4bNOY3WwUph4+jvlnL+JTWMzFlzNPX6Bqbg+9bCtDltk2E7q2boD5q7fDIbMterZvkuIX8SgNBYHMzc3gZB5zolGhTAmMGzkABfLmhpMWI6sQpQdTxgxA814/yBF9btx7jGa9flBGvF+/91aOMKTa3FGMxvTyzS9yiPHbD57KrjaqRM6QRX/++MUuKFN/HICWfX6EX8BHuS7V93759j28fPy0+gwlCuVDqaL5cfXWA9lCocvw3+R80R2lca1K2H7wVBJrJXXLK5Qskk8e6IjXiBZXijosWiA3Dq+dKR//8/NwfPNugkwwfOnGPXQaOiHeesSJekpKqC7dnB3RvF5VbN57PN5r/h4/FG/eeePyzftyPxr1+39qz//cIBzGH4wQFWaEAdnDMfmxEZ6FGON5iDF+uWcBiFssF1sjzB7bXrnvaFNPX1omOZ8pIV/6rFXKFkvx70lyJKWcKbm/62OfJSL6WuwGpj91q5bD+OE9sHDNTrzz/oC+nZrJgQgoRkBIqDIAJMw5fZ5BID3p900L5MqeBR2a15H5HUl/dJo5LCg4BM9fvYGDffzm7UTpVd6c2bB35d+YNn+tPGlTjB7Uu2MzbNh1RLmcna2N8rHo4iGG5l634xD2n/CUSXfFlf+s7s6oVakUerRrohyaW8hsayNPeBWPFQrm8cDeFdPw94J18mRV8d4DurREw66jlLlNLMwTPxgQLT7WzvoVM5dsxJmLN+R3tXSxAhjeqy227juhfG8Ruf9SmRTBAUVXOCtL8xQvryAOcNbP/g1/L1yv7F4jWlYoWrcITg522LXsT2zacwz7j5/H42evZUsWdxdH5MqRBQ2qV0CdqmW1+kzaLpNQXY4Z1FUmxFN/bUyTWLGtdyz+A1v3n8Deo2fx4OkrhIcEIqu1DxoVDkGNfFEI9TGB7zUjOVz87/nCcMzXBJcCjOEtWpQYAa620SiXMwKtS0XD7v16hPrnhkXmnFrV05eW0fYzqe4fCdH0WcVIEflyZUeHZnXQtE7lr/6eiLLbZbL5qn01KeVMye9nUvdZIqLUsmPHDmVuQ1NTU7Ro0YKVnQaJ48uhPdrKE+wt+47Li3f02YDK5bHE87Kyu/uB+w9x38sbBVycWU06JgbN6dWhCes9DTCKTkr/i6+068Ax9P12PFo2rov502KuJFPyLFi+Ut7379HN4KtQ5K0RrK2t9VIXIjeIaOUTN7HZoVMX0XVETJcNC3Mz3D26Jl5S2rRO33Wbkfn4+GDJkiUYMmRIvPoVP8uvjo7Bp9eiK5QRjIxjggXeF4wQ5vd5PzMyjYZ7rWjZ/VBlJoxNzWHtVhpZqv9qkP3eud+ybsnwpPRxEX9HgJkzZyIstgWFubk5RowYkSJ1y22RvqXH70af9Vux41bMCNRClzIlMaNV+g9GpMdtkZEFpaPtkXBWy1SQ1d1F3nt5xyQYJcoIRHev2h2HY+WWfTJ57b3Hz7F2xyGMmjhLuUynFvXSXQCI9Cf0w32EBYrhwqOVASDBvpiI2X+O21u6xQkAiRiQiTmiI8MR6vdEroeIiCilTNh3GP+dOocAlaHhidK6odUqqk1vvHYT72JHrSYyRDrtDlayaCE5+tfNuw/g5x8A+8x2unx7olRhbGIsAz8ica0mInH0hJG9WfuktcBnRxEV/hFGRuo/0aZWgHOFaAQ+ioaZHWCbV8OLoyNhbG6LqLBABD4/Bkungqx5IiL6aq/8AzD/3AVERkXj7+On0a1sKUxoUBsmiYyUSJQWlM6WFZVz5sDZZy/kdFhkJBadv4Rx9RIe4IF0R7SAF939OfKp7uj0V1sk75w1ZbzMqzB4zES89/LR5dsTpQqRt+Tkptno37kFKpYqAo9sbnKo59YNa2DxXz9i3ezfYG3FVkCknajwIHx6ewnR4UEwMo2fG8k8M+BUBrDLJ5KNJxQEsolZz5uL8p6IiCipmrdpi6rNmqN0w8Yo36ChbAEkAkDCx9Aw3Hn3ngEgPQkOCZXpCEh7Q6qqtwZaduGy3I9Jf8LDI7B5zzHU7zISi9fHjCZOGbAl0MlzF/HXf4tlC6AjJ8+hbL22yJkjKxw1JIquXrkcRg/po8viESWbSBY78bu+rEH6ahEhfoiOCAWMTWFkZIJoxCQt1lZ0tMhRZSJfL9YTGeoPY7O03zeZiIjSxhX5k4+fYcmFy9h3974y6KPJ4Dgn1aQ70xetx54jZ9G/S0u0b1qbKQe0UL9APuRzdsTD2LQkfsEhWHvlOvpVKpfam4s0EL0oOg/9Fa/eectpX/8d6N2hqRyMhFKfTmvZ54MfPK/cUE6LEU8ePnmucdks7q46LBkRUdoQHRkq2gPFNPNRyQekLSOj2AaesplQNKIimLeBiIi+7Nrrtxi2ZRfuvPf64rIWpiZwtLJiterBp6BgLN+0F/6Bn/DDlDn435xV2L3sT+TOkZXbIxHGxkYYXKUiRu3Yq5w374wnepUvA1MTdmnUNTFUfETk59Zsr956Ydfh02jdiF30MlwQqH6tqvA8sFGrZa2tLFO9PEREaY2Rieg6aCwux8LY1FLm9kniCmLu5cCPRnIdREREiTn28Al6rNuMoDDtWp+GRkSixdLVWN6pLWrly83K1aG1Ow7LAJCCk70dcmZz5zbQQvuSxTD18HF4fYrpKv/czx+77txDq2KFWX86JkZO7tupGSb/t0JO21hbwcc3gNshIwaBxMYVNyIi0szU0h5GphZAVARgInICxbTo0ZaxeSZER0fK14v1mFjE725LRESk2gJIUwBINCgtnTUL3GwzyZGUrrx+E3N9IZZYXrxuR++uKJmVQQhdsrfLBL+AmNGtBnZtBWMm59aKpZkp+lQsh/8dOaGcN/f0ebQsWghGGhMtUmrq3q4R1u08LEdR7t62ITLbZmKF6wg73RERpSEif4+Ne1n4B3kjOjxYBnEiQ/20fLEJjM1sEBX2MWY9WcoxHxARESWaA2jolp1qASBjIyOZJ0XccjrYK+c/8/XDwnMX5S0qNhokXie6kB0f0ocn0ToiWk9807Ie1u88jC17j6Ntk1q6eusMoVeF0ph58gyCwyPk9OVXb+D5/BUq5syu76IZHBH0ObV5Dn879IAdIImI0hjbnLVhEjvMu5G5HYy06dJlZAIzazfZcki8TgwTb+vBA0MiIkqYSAJ9931MYlZFAGhZpzaY1LieWgBIENNivnheLKcgcgidevKM1axDNlaWMonurqV/wtIi/kiilDBHa2t0KlVcPjYzMUan0sXhkokDaOgLW2AZUEug2/ceYv6KDbh07SY++PojIjIy3jJN69fE9N/H6qN4RER6ZeFYABb2uWULoKhQP5hau8n7yNAAjV3DRB4hEysnGJmYIyL4A4xMzOTrxXqIiIgSIkYBUyVa/zQunPj/DvF834plseDcxc/r8byM6nlysaIpXRhQpQLsrazQu2JZuLMLEhkgnQeBxNDwPYeNRVh4uOy/GhUVBVNTE0RExASCTExMYGFujkiVbOFERIZ2VcS5ZB+8OTsVYf7PERniCxNLBxibZUJUZAii5YhfRjAyNpGthIxMYloKiQCQGF3MPLOHfD2vrhARUUI+hobKYeA//++JCQJpQyy38PxFZY6gvXfvy/VlshCDGxClbXmdHPFTPY5CRYZLp93BRMDnh4nTZABo7Ij+mDn5Jzm/af1auHN6DwZ07wgzUxNMn/Qj/p0yTpdFIyJKU0Qgx7XcMHmP6AhEfHyNqIhgmePH1NoFptbOMjAkWv+I7l/iebGc2uuIiIgS8Mo/EJFRn1uXiiTQcbuAJSSXo4NcXkGs53VAEkezJCLSEC84cMITm/YcZd1klJZAt+89wsvXb+Hm4oRhfbtix74jyucc7O3w25hhuHD1BkaOm4LSxYvAI9vnfy5ERIbGyrkI3Cv/CJ9rSxDq9yQm2BP4GjA2jblkKy7BRkUoA0OiC5hoAcQAEBERfcmnsDC1aTEKWFK4xln+Y6j6+ijlLFizHS6O9mhWtyrMzDiuD2U84eERWLP9IBas2YFHz17B2TGz3N+Z8yoDtAR68fqNvC9SIG/MUIaxSeVExE+hcd0aCA4JxfY9h3RZNCKiNMkic05kqf4rslQdB7s8DWGW2QOmVk4wtXSQ92LaLm8j+bxYjgEgIiLSho25ekJhMQx8UryPs3wmJihOFb7+gZg6exUGjfsblVr2x5wVW5VpNChlhUdGyhvpnrGxkdy3RQBI8P7gj817jnFTpBKdhpItY/sJm5mZyXtry5jpwMBPymVcnZ3k/ePnL3VZNCKiNEvk9rF0KihvTuFBiAz1R1RECIxNLeUQ8qIlEBERUVJky2wLE2MjZZewK6/fyGHgtekS9vSDr1xeQawnq50tN0AqWLVlv7xALrx6543tB09iULdWrOsU5B8cghUXr8o8V+Pq1UTH2NHDSHdEXuB+nVtg/F8LlPOWbtyNLq0bcDOk95ZAHtljune9eP1W3ueI7e715MXngM+rN+/kvbWVlS6LRkSULoiAj1mmLLLrl7hnAIiIiJJDJHFuVOjzSGCih/FClRG/EiOWUySFFhoXKsCk0KkgOjoaa3eo944Y1LUVB35IQaceP0PJv2dj4sGjeBMQiLmnPWW9k+5906IuMtvawCGzLUb26YA1//7KzZARgkB5cuaQgZ9HT57D+4MvCubLDXdXZzx78Rrzl6/H5eu3sGrTDrlsiSIFdVk0IiIiIiKD0rt8mXjBnb13Po8Ypol4ftH5S+rrqaC+Hkq5lsC7l/2FcUO7w93FEdncnNG0ThVWbwoqkdVNkaFEuvXuPU48fso61gMbayusmTUBF3cvxo+Du8LV2YHbISMEgcQPWdd2zZHJxhrb9x6ReYHGjhggn5vw5yw0+WYAXr99L4NDbZvV12XRiIiIiIgMSvU8OVHI1Vk5HRUdjZ7rtmDcnoOyy5cqMS3mi+fFcgqFXV1QLXdOnZbbkIhWEcN6tYPnzoVYO/s3JoZOYXaWluhWtpTavDmnPVP6bUhLZYsXgo2VJesrlek8vfyI/t3lTaFjq8ZyZLAN2/fCzz8QxYsUwNA+XWBqysz3RERERESpeYH2vzbN0WLJKgSFhct5IsCz4NxFmR9FDAMvRgETSaOvvn6j1gVMsDY3w6w2zdg9SQfMzcxQIHcOXbyVwelXqRwWnLugzI915OFj3HvvjYIqAVKijCRNRFoa1Koqb0REREREpDsls7pjeae26L5mE4IjIpTzRcDn8qvPyZ/jEgEg8TrxeqL0LId9ZjQvUgjbbt5Rzpt31hPTWzbRa7mIMkR3sLgiIyNl969nL18jKDhEn0UhIiIiIjJItfLlRvW8ubReXnQB29G7q3wdUUYwqEoFtemN127C6+PnEaxJf0Si7pdvvLgJ0ntLIBH0+XPWIuw/egofPwUph4UrV7IoRg7ogdrVKuqjWERERESUgNOel3HmwmX4+gXA0T4zqlYog8rlS+ttPZRy3gZ+xNGHj9XmiVy5qr2/xDDwYhQwkQRa5AASXckoddx5+AwF8+SQ+VNJN8pkz4qKHtlx/nnMqNWhEZFYduEyRteuzk2gJ+HhEdhx8BTmr96OF2/ey4TRzBeUToNA127dRfs+IxEQ+FFOOzs5yEzgL1+/w/nL1/HNgO/wy/eDMbhXZ10XjYiIiIg0+G/xShw9dV5t3tmLV1C/ZlUM7PmNztdDKWup5yWER0Ypp6vm8kALs2h4h4QgNCoaNubm6N+5E4eB1wFvX3807v4dcmRxRf8uLdCuSW1YWVro4q0NnmgNpAgCCUs8L2NYtcqwNEsTGVQMTufhv+Gk5zXl9IadR9CrA7vopQSd7tFRUVEYMmaiDACVL1Ucf08cgwKxTU8DP37C1JkLsGTNZkyePh+1q1VC4fx5dFk8IiIiIorj5LmLMnBjbWWFzm2bIbdHdjx+9hJrt+zEweOnUbpEEVQsU1Jn66GUJRJCL7twJd7JcMNC+VnVerBi016EhIbhwdOXGD15DvYf98Sqmb9wW+hAo0L5kcvBHk99/eS096cgbLp+C13L8ndJH5rXq6oWBFqwZjt6tGvEFnIpQKdtDK/duoeHT57LIeKXzJysDAAJtplsMGXct6hRuZzMFbR9zyFdFo2IiIiINNh76Li8H9qnKxrXrYlC+fOiSb2aGNgzptX2noMxz+tqPZSyNly7gQ9BwcrpPE4OqF8gH6tZD0TwZ8mG3WrzOrWox22hIybGxuhfubzavHlnPGVOGtI90QrOMbOtfGxtZYm6VcshOCSUmyK9BYHevHsv70sWLQQXZ0eNy9SvWUXev3obsywRERER6Yc44H7w+CnsM9uhQpkSas9VKV8ame1scfv+Q4SFh+tkPZSyoqKiMe/MBbV5AytXgLEx8/3oKwdK55b1YW+XSU7nyOqKxrWYK1WXvildAnYq3e/ueXnLIeNJ96ytLPBt344YP7wHLu9Zgkmj+8k0MpTOgkCODvbyPrFEcornRK4gIiIiItKfN2/fIyo6Gnly5oh3/CamxXzR3f/tOy+drIdS1qEHD/HI54Ny2sHKEh1LFWc164ltJmv8NLQ7Lu1ZgqljBuLHQV3l4DmkO5kszNGjXOl4rYFIP/p1boGhPdoqA6OUDnMClS1RFC5Ojrh++x4++PnLESHiOno65kvWuA4zsRMRERHpU+CnmCGS7e1imuTHZR/bVD8wdrTX1F7P2EnTNM43MYpE9izuCApK/PXaCg7+3D0qI/vv5Dm16S6liwMR4QiKSDstsgxlW6gSYdKOzWrJxym1T6cUQ9geXUoUwdwznnI7tCpaEH3Kl05z28FQtkV6EpwK28Pa2hrpviWQmZkp/vvfz4iIiET/Ub/gxeu3as2EJ0+fh8MnzmJony7xmgoTERERkW6J1jmCsYnmQ0YT45hWCiKfoy7WQynn5tv3OKsyEpKZsTG6MzE3EbLY2WJm84Y4Pbg3pjVtgMKuLqwVylB02hJIjArx95wlcMhsi1PnL6FSo47IkdVdJnp68uIVgoND5IgRnpevo0XXQWqvrV65HEYP6aPL4hIREREZNEuLmNwY4hhNk0+xVz4Vy6X2eqaO/17j/AXLV6bKVdPUugqbFiy/ckNtuk2JositcrK7fv16hMfmaDIzM0PHjh2hTxl5W6RHGX17dChbCulFRt8W6Y11OtgeOg0C+Xzwg6fKPxxxtefpi1dqywQFB6sto5DF3VUnZSQiIiKiGK6xA3m8TmDADsV8NxcnnayHUsabgEBsuXFbbd7AKuqjIr19+xZhYWHysbm5OaueiPROtCo9dOoSVm3dj7mTv2Oi6PQQBKpfqyo8D2xM1mtFayEiIiIi0h0nRweZw/HZi1d47/1BGcwR3r73xvOXr+Hq7CRH99LFeihlLD5/CRGxXfSEGnlyoZi7G6tXD7w++KHv6P+hV4cmaFqnikyfQUTx7Tp8BlNnr8SjZzGNSNbuOIy+nZqxqtJ6TiAxpJtHtizJujk7crQwIiIiIl2rVrGsHNlrztLV+BQU021L3Ivp6OhoVK9UTqfroa/XqnhhdChVDGaxOZritgIi3Vm2cQ/OX72NgT9NQ6WW/bH9wClWfxoVHhmJJx989V0Mg+Uf8FEZABIWrtnBPHLJxFBzIkQC69v3H+LNu/fIZG2NqhXLJquSRbe32/cewuuDL2wz2aBYoQKwsky8zzsRERFRWtC6aQOc8ryMG7fvof+ocbLFzntvH4SEhsnHLRvXVVt+35GTOHLyDJo3rKsW2Enqeij1iFY/s9s0x8/1amHT9Vuomy9vvGV69+7NTZDKxMA4yzbuVU6/eucNc7YESnP8g0Ow8tJVLDx3ETbm5jg1tB+MjcXYYaRLbZvUwpTZK+Hj6y+n37z3xs37T1CycD5uiCRiEEiDl2/eYsO2Pbhy447MUSRkdXdLVhDo4eNn+HvuEnmQo9q1bVCvzqhSvkyS10dERESkS3a2mfDbD8Mxb/la3Lr7AM9fvZHzixcugIE9O8MmThLMD75+ePT0BfwDAr9qPZT63O1sMbRaJY3P2dqya15qu3nvMYJUkqXnyu6OBjXYKistiYyKQq05i/HSP0A579CDR2hQkIEHXbO0MJfdJpes24Ue7RqjV4emcHVmb6HkYBBIg6fPX+K052WYmpigaKH88kAlOQICP2Ly9LkI+PhRBpEK5suF12+9cO/hY8yYvwyuTk7IlydnstZNREREpCtZ3V0xccwIGdjx9Q+AQ2a7BPP3NKpTHRXKlICLk+NXrYcooytfsjAu71mCVVv2Y/H6XejXuQVMTEz0XSxSYWJsjLYlimLmybPKefPOeDIIpCcDu7TE4G5tYG3FXjVfg0EgDbJncceogb1QqngRGXHs0HdEsip354EjMgBUvnQJOby94kd9/bbd2LB9L9Zt243xowZ/1QYkIiIi0hURsPlS0MbRwV7evnY9RIbAIbMthvVqhwFdWyI6Wt+lIU36ViyLOWfOIzwyJpn6ySfPcOPNOxTPwmTqupbJhi1G011i6PQil0d22fVLJLL+GucvXZP33Tu0Uovqt2nWUDaJvn77rrK7GRERERFRavH5FCQT21LaZG5mBgtzM30XgxLoNtm6eBG1eaI1EFF6xSBQKgkNDcPrt+/h7OQgmz6rMjM1ld3MIiOj5JCoRERERESpaeyeAyg/Yx5mnzqPgJDPeWiI6MsGVamgNr3lxm28iZP3jCi9YHewVOLr7y+HO3VzdtL4vGK+Irt5QsZOmqZxvolRpOy2FhQUBEMXzNZUrNt0vN9y/029uiXWbWqzZiJjSide+vljx627iIyKxq8HjuDv46dxYeRAOCXSteLChQvK4ZdFi/by5ZmwmAx7RL0aeXLhxOOncjoiKgqLzl/Cz/Vr6btoBk+cc5+9fAvFCuSGna2NwddHmgsCie5RD588R9vmDWBpkXrJnMRoE3fuP9R6+QJ5cyO3R/YUbwkkmJuba3zeInZ+aFjMckREREREqWHBuYsyAKRQLkfWRANAwpkzZxAW9vl4lkGglPHO6wOu332EulXLwtiYnTLSk4FVyiuDQMLyC1fwbY0qyGSh+XyPUld4eAR2HDyF+au3y+/Ur9/2xsCurVjtaS0I9OadF76b8AemzJwv8+T06tQari6aW8p8jZt37mPx6o1aL9+lXYsUDwKZmcVUbUQCfa/DIyLkvXnscgmZOv57jfMXLF8p73kV8jPWReph3aZeaxUrKyvWbyrhfpt6WLdE6UdgSChWXrqqNm9wlYp6K4+hE6OA/bt0E/Lnyo4BXVqibZNasLLkSEfpQd18eVHAxQn3vXzktH9ICNZfvYE+Fcvqu2gGaeeh0xjy8z/K6YVrd6Jvp+YwNeUIe2kqCFSpXCn06NgKm3cdwPR5yzB78Wq0alIPA7p3kDlyUopH9ixoUKuq1sundABIUIx44fPBT+PzPr4x8zPbcmQMIiIiIkodqy5dw8fYFupCETcX1Mybi9WtB5+CQ7Bi8z75+MHTl/h+8my4uzqhXrVy3B7pgLGxEQZWroBRO/Yq580764me5UvLoeRJt5rVq4LfZizFO+8PcvrVWy/sOnIGrRpU56ZIS0Egd1dn/PHL9/j5u8FyiPTl67fJe3GrWqGMDAbVr1UVRkZGX/U+xQoVkDd9srG2hpODPd68ew//gEC1YVBFv8U7Dx7Jxx7Zs+qxlERERESUUUVERmHBuQtq8wZWqaDVsXatWrXUcgLR11u34xD8Aj4qp0VroDpVyrBq05F2JYtiyuHj8P4Uk5f16Qc/7Lv7AE2LFNR30QxyRL3eHZtg6uxVsLayROeW9VGmmH5jAOmFXhJDZ7KxRu/ObeXttOdlLFu3FfsOn5SP8+TMjr5d26NjqyZfPUS7vpUtWRQHjp3Glt0H0Oubtsr5p85dxHsvH+TPk1MtOERERERElFJ23r6Ll/4BymnXTDZoE2eo64SULFmSGyKFNa1TWeYEEq2BRDBIdAdjXqD0xcrMDL3Kl8Ffx04p580+fZ5BID3p1qYRjI2M0a1tI9jbZdJXMdIdvY8OJloAids7L2+s2LAd/y1ajZ8mT8cfsxaiU6um6NmpNXLnTPnuWokJCw/H0VPnlK12BDEK1/6jJ+VjkdS6psowgS9evcHt+w9ltzKRZFqhecO6OHLqPHYdOArvD74onD+vbBl06PgZ+Xybpg11+rmIiIiIyDCIY9i5ZzzV5vWtWA4Wpno//DdY7i5O+Glod4zo0wEbdx2R+YAo/elVoQz+PXUWoRExLeUuvHiFe++9UdDVWd9FMziO9nYY1qudvouR7qSJ/wJ+/gHYuvsQNu88IEfLEhHxTDY2mL9iPRat3oT+3Tvgl+8Gf3U3MW2FhIRiwYr16mUMCFTOc3SwVwsCiQCQeK5FwzpqQaCs7q4Y3rcb/luyCucuXpU3QXyO9i0ao0KZEjr5PERERERkWM49e4krr94op63MTNGjfCm9loli2FhZomf7JqyOdMolkw06lCyOdVevo03xohhUpQIDQJSu6DUIdP32PSxduwXb9hxCcEgobDPZoF/X9ujbtR1y5siG3QePY+T4KZi7dC1KFi2EVo3r6qRc5uZmiSaWFvl+VOXIFpOIukC+zwEghaoVy8r5Zy9cgZePr/yM5UsXT5Vk1EREREREioS1qjqVLgHHOMewRJQ8o2tXww+1q8GdqT0oHdJ5EEi09Nm5/6gM/ly6dkvOEwGRPl3aolPrpjJfkELT+jXx+NkLTJ4+D6fPX9JZEEh09xrQ4xutly9SIJ+8JcTFyREtGumm7ERERERk2B75fMDeu/eV06Ix/cDK5fVaJqKMJAuDP2meSGzPpPZpIAh04coN9Bw+VjlsevVKZWXLn3o1qySYFC1HVnd5H/Dxky6LSkRERESULs0/44nYtJZSo4L5kcfJMUnr8PHxUebGFKkMnJycUrqYBiEkNAwW5mY6S2tBZMiioqJw6NRFzF21DVXLFcf3/bVv2GFIdBoEevXmHYKCgtGlbXP07dYehfPn+eJrSpcoghmTfoJH9iw6KSMRERERUXoVGBKKdVdvqM0bXLViktezatUqhIWFycfm5uYYMWJEipXRkPw+cxkuXL+Lwd1aoVndqjA1NdF3kYgypOev36Hz0F/x8NkrOX3/8QsM6d4GVpYW+i6aYQeBRC6cS4e3wNE+s9avyZk9q7wREREREVHibC0tsLdfD8w5cx5brt9GqazuqMhclHrh6x+INdsPytynA3+ahuxZVmDPsr/g6uygnwJRqgqPjMTOW3flcPEchU/3srk5Izx2xDbBx9cfm/ccQ9c2HJE7Ls19sFJJtixuSQoAERERERFR0hR1d8XsNs1x6dtB+KtFI3ZF0pPlm/bKAJCCk4MdXJzs9VUcSiUBISGYfeo8yk2fiwGbdmDLjdusaz0Q+X/6d2mhnDY3M8Vb7w/cFml1iHgiIiIiIkpZWTPbyVtyeHh4ICIiQj42NeUpQ3JERkbB2soSQcEhcnpQt9YMyGVAay5fx68Hjiin5572RKdSxbmt9aBTi3pYtHYnWtSvht4dmsLNJWm50AwFf9GJiIiIiEhN69atWSNf6bv+ndC7Y1Os3LwPB05eQLM6VVinGVDXsiXx17FTCIht9XXnvReOPnyCOlrkv6WUZWNlidNb5iY46BTFYO0QERERERGlAofMthjeuz12Lf2TSaEzqEwWFuhetpTavNmnz+utPIaOAaAvYxCIiIiIiCidO3j/oUxMS0S6169SOZiqtD458fgprr1+y01BaRKDQERERERE6diF5y/RedVGmZh2zunzcph4ItIdkXurTYkiavPEd5EoLWIQiIiIiIgoHZtzxlPevw4IxIT9RzDp0DF9F4nI4AypWlFtevutO3ju66e38lCM6OhonLpwHSs272OVxGIQiIiIiIgonXrywRe779yL1zWF9GPG4g04cOICoqKiuAkMTBE3V9RVSQYdGRWNeWcv6LVMhh782X7gFBp2+w7tBo7HhL8Xwcc3QN/FShM4OhgRERERUTo194wnoqM/TzcqlB/5nJ2+er3Lli1DeHi4fGxmZoaePXt+9Tozumev3uLPeWtkACh/ruwY1K0VvmlZn0OFG5ChVSvh8IPHyunVl67h+1pV4WhtrddyGap5q7bh+p2H8nFwaBiWbtyN7/t/A0PHlkBEREREROmQ18dPWHv5utq8wVXUu6Qkl7+/P/z8/ORNPKYvm796u7IF0IOnL7H7yDkGgAxM1dweKJXVXTkdFB6OpZ5X9FomQ2VkZIQhPdqozVu+aS8iIphAn0EgIiIiIqJ0aPH5SwiJiFBOl82eFZVyZtdrmQxVSGgYtuw9rjZvcPfWeisP6THwUK2S2rzF5y8iOLZVHelW41oVkTtHFlhZWqBvp+bYvewvmJqaGPxmYHcwIiIiIqJ05mNoGBZ7XlKbN6xaJbY80RNLC3Oc2Dgbi9fvwrKNe5DHIxuqlC2mr+KQHjUrXBC5HOzxNDYptNenIGy4ehM9ypfmdtExExMTzJs6GjmyuMLR3o71H4tBICIiIiKidGbVpavwCw5RTudzdkTjQgVSbP1DhgxJsXUZCldnB4wd0g3DerbFW68PDMgZKFMTYwysUgE/7j6gnHfr3Xu9lsmQlSycT99FSHMYBCIiIiIiSkfCIyPjjTo0pGolGBsbpdh7mJryNCG5MtlYI58NEwEbsm9Kl8D0E2dQM28uOXS8GDmMKK3grzsRERERUTqy5cZtvPL/PNSxm20mtC9ZVK9lIqLPrM3NcGHkQFiZmbFaKM1hYmgiIiIionQiOjoa/506pzZvQKXysGDLHaI0hQGgtO3uo+cwVAwCERERERGlEwfvP8Ld997KaVsLC/QoX0qvZTLkgNz5K7flPRGlfeK7eujURbTs8yNqdRiKm/cewxAxCERERERElE54Pn+pNt2zfGnYWVrqrTyG7PDpS2jZ90c07PYdth84hcjISH0XiYgSMXnWCnQdMRHnr96W07OWbTbI+mIQiIiIiIgonRhfvxaODe4jcwCJvCP9K5dPlfc5ceIEjhw5Im/iMcX33/KYE8jrdx5iwNg/DfaEkrRP6L7+6g1MOniMVaYnbRrXUJveeeg0nrx4bXDbg4mhiYiIiIjSkaLurpjTtgUCQkJSrRXQlStXEBYWJh+bm5ujRg31kydDd+nGXZy7fEs5bW5mik4t6uq1TJR2uyAt9ryE2afO46V/AIyNjNC5TAnkcXLUd9EMTpH8uVGvWjnZJUx8Zzs0qwMLc3MYGrYEIiIiIiJKh9gNTH+yurmg3zfNYWVpIafbNakNdxcnPZaI0iojIyMcefBYBoCEqOhozD59Xt/FMlgj+3TAoG6t4blzIaaNH4qsbs4wNAwCERERERERJUEWVyf8/n0/XNq9GD8M7CxPKokSMqJ6FbXpdVdu4G1AICtMD8qVKIQJI3sZdNCW3cGIiIiIiEhN48aNlaNeiZYMpJmjvR1G9evE6qFEVcyZHRU9suN8bGL3sMhIzD97ARMa1mHNkc6xJRARERERURo288RZrL1yXSaW1ZUCBQqgYMGC8iYeE9HXGVGjstr00gtX4BcczGolnWMQiIiIiIgojXob+BF/HTuJ4Vt3o8KMeVh8/hIio6L0XSwiSqJ6+fOiqJurcvpTWBiWeF5mPaYh0bGtHzM6BoGIiIiIiNKo+Wc8ERoR0wJIJJbddO2mHF2IdC8sPNxgThIp5YlulcOrV1Kbt+DsBQSFhbO69Sg6OhqnLlxHpyETsGTDboPYFgwCERERERGlQb5BwbLLiKpva1Zhjh49mTp7FVr0GYODJy8wGETJ0qJoYeRysFdO+wQFY/Xla6xNPXn26i2a9hyNdgPH49i5K5izYivCwyMy/PZgEIiIiIiIKA0SXb9ElxEF0ZWkfoF8ei2TofL1D8TyTXtx4dpddBv5O+p1HgkvH199F4vSGVMTYwypVlFtnhguPiy2tR/plpuzI168ea+cfvXWC5v3Hs/wm4FBICIiIiKiNOZjaBgWnLsQL7GsrkbqevnyJZ4/fy5v4rGhW7RuJ4KCQ5TTYjM4O35u0UGkrU6lSsA1k41y+pV/ANZfvcEK1ANLC3MM6NJSOW1qYoIXb95l+G3BIBARERERURqz4uIV+KoEHXI7OqBF0UI6e//Nmzdj/fr18iYeG7qIiEhYmJspp4f3as9ueZQslmamGFJVvTXQzJNndTr6H33Ws11j2SKoe9tGOLNtHkYP6IyMjkEgIiIiIqI0JCQ8AnPOeKrNG169MkyMeeiuL2OHdIPnjoUY1K01ShTOh6Z11If7JkqKHuVLw8naSjn9zNcPW27cZiXqQSYba5zfsQB//jQYHlndDGIbmOq7AERERERE9JnoGvIu8KNyOqudLTqULMYq0jM3F0dMGNkLUVFRMGZAjr6Cjbk5BlapgMmHYvLPNCiQD4VcXVineuwWZkgYBCIiIiIiSiNEl5B/T55VmycSyZqbmui0HAULFkRERMwoOaamPGVQxQAQpYQ+Fcrivpe3DAaVyOLOSiWd4S86EREREVEasf7qTTz381dOO9tYo2uZUjovR6NGjXT+nkSGxNbSAnPattB3McgAsWMxEREREVEaaQU048QZtXmDq1SEtUpCYiIiSn0Xr9/FhH8WIzo6OsNVN4NARERERERpwMZrt2SCWAWROLZXhTJ6LZOhCg0LR58f/ofj565kyJNAItLs7OWbaDdwPJr1+gHzV2/HsbNXkNEwCERERERElAYUy+IqE8QqDK5aEZkMLGFpWrFuxyHsPnwGHYdMQPPeY3D64g19F4kMRFRUtFpieNKt3YfP4tSF68rp6YvWZ7hAMINARERERERpgEgOu7prexwa2BPtShRF7wpl9V0kgxQWHo5/l25S6xZy895jvZaJMr6IyChsunYT1WcvRM+1mzNc4CG9GNKjDczNPqdOvnjjHh48fYmMhImhiYiIiIjSkJJZs2BuOyaM1ZcrNx/Ay8dXOe3iZI9ubZgom1I3AFRn7hLcee+lnHfs0RPUzpeH1a5jWVyd0KlFPazZdhDtmtbC8F7tkccja4baDgwCERERERGRmrlz5yIsLEw+Njc3x6BBgwymhiqWLoJz2xfgv+WbsXrrAQzu1hrWVhb6LhZlYKYmxqiS20MtCPTHkZOolTc3jIyM9Fo2Q/Rdv04Y2rMtPLK6ISNidzAiIiIiIlIjAkCqN0OT1c0ZU34YIINBPdo10XdxyACMqF4ZFqYmyulLL1/j0INHei2ToXJzccywASCBQSAiIiIiIj154eePyKgo1n8a7hrCVkCkk33NzhY9ypVWmydaAzE3EKU0BoGIiIiIiPRABH/aL1+H6v8twubrt9JUMEh0AVO9EVHqG169MqxUkhJfe/0W++4+YNVTimJOICIiIiIiPRCBn0c+H+TjgZt2YNG5i9jTr3uayAFiSDmAiNIKN9tM6FW+DOac8VTO++PoSTQsmB/Gxvr/XTB0F6/fhfh5Llu8ENIztgQiIiIiItKx8MhI/HX0lNo8MRJQWggAGaI9R87i2Nkr7HpDeje0WiVYm5kpp2+9fY/dd+7ptUyG7sqtB+g8/Dc06/UDxv6xIN3/TjAIRERERESkY2suX8dTXz/ltL2VJQZWKc/toAdBwaEY+8d8dBo6AW0GjIPn1dvcDqQ3Lpls0KdiWbV5fx49maa6ixoS/8CPaNNvLI6cviSnr995iAMnPrfUSo8YBCIiIiIi0qHg8HBMO6beCmhYtUqws7TkdtCDZRv34J13TLe8s5duot+YPxEaFs5tQXoztFpF2Kjk4rr73hs7bt3lFtGDzLaZ0KO9+giBfy9cn65bAzEIRERERESkQ8s8r+Bt4MdEr/yTbkRERGLRup1q80b26QAL88/dcYh0zdHaGgMql1Obx9ZA+jOkRxtYWVrA2NgY7ZrUwrwp36frrrsMAhERERER6cjH0FDMPHlGbd63NaqoXfUn3TE1NcGupX+ie9tGMDUxQY6srujSuj43AendoCoVYGthoZx+6P1BJpMn3XNxtMf0X4bh2IZZ+O/3UcjjkTVdbwaODkZEREREpCPzz16ET1Cwcjp7Zjt0L1cqzdX/vn37EBERIR+bmpqiUaNGyKiyujnjz58GY3C31njj5QNzlaS8RPpib2WFQVXK40+VBPJXXr1Bh1LFuVH0oFXDGhmm3hkEIiIiIiLSAd+gYMw5c15t3ve1q8HCNO0dkt+7dw9hYWHysbm5eYYOAinkypFF3ojSigGVy2PBuYso6OKMXxrURgWP7PouEmUAae8/DhERERFRBvTf6fMICAlVTud1ckTHkryqT0SaiWTxhwf2Qg77zOk6Bw2lLcwJRERERESUyt4FfsSicxfV5o2pUx2mJjwcJ6KEeTjYMwCUhp2/chuBH4OQnrAlEBERERFRKpt58iyCwj8PO17U3RUtixZOs/Xetm1bREVFycdiRJyM5OUbLzx98RrVKpTUd1GIKJ268+ApJv+3AodOXcSofp0wtHsrpBcMAhERERERpaLo6Gh4ffykNm9snRowNk673TuyZ8+4uUem/LcCW/YdR7XyJTB2SFeULV5I30UiStbvCruI6ce5K7fQut9PchsI81ZtQ8dmteQoYulBxgrrExERERGlMeJEbWGHVtjZpyvKZs+KctmzokHBfPoulkG6evuBDAAJpy5cR9OeP+D2gyf6LhaR1kTgYcetu2i0ZDWe+/mz5vSgfIlCKJAnh3I6KDgEs5dvTTfbgkEgIiIiIiIdqJQzB/b2645VXdrzCr6e/DVvrdp0/erlUSR/bn0VhyhJLr98jYYLlqPP+q246+WDv0+eZQ3qgYmJCcYN7a4M8rdtXBO9OzZJN9uCQSAiIiIiIh0RJwxONtasbz355+eh6NamocxzJG7jh/fgtqB0IzQiEldevVFOb7t1DzfevNNrmQxV/erlMbh7axxcPR2zJ30Hj6xuSC+YE4iIiIiIvsg/IBCXrt+Cn58/HOwzo0yJoshsZ6t1zd28ex+37j7Q+FwmGxs0rV+LW4FSnZuLI/4aNwR9OjXHucs3UTCPB2ud0o3KuXKgQYF8OHD/oXLepIPHsL57R72Wy1AD+r+M6IX0iEEgIiIiIkrUyXMXMW/ZGoSEhinnWVpaYGjvrqhcvrRWtScCQBu279X4nLurc5oLAl259QBrth/CjAkjYGaW9EPm8MhIiJyh5qYmSI/u37+vTHoqTnYKFCiAjKRQXg95I0pvxtWviYMPHsrfF+HIw8c49vAJauVjt0bSDoNARERERJSgx89eYNaiFYiMjELp4kWQK0c2PHn+Eldv3sGMBcuRPas7cmTLonUN1q1eGU5xRlARLYHSildvvfDbjCXYcfC0nC5drCD6dmqW5PUsv3gFC85exM/1a6FZkYLpLgfQ3r17ERYWE/QzNzfPcEEgovSqiJsrOpQsjvVXbyjn/bzvEI4O6gNTE2Z7oS9jEIiIiIiIErRl1wEZAGrTrAG6tG2hnL9y43Zs23NQPj9igPZ5VerVrIICedPuFetNe44qA0DCtPlrZNJPh8zad30LCAnBX0dP4UNQMHqv34ryObJhQfuWyG6fOZVKTUSGZGzdGth+8w5CIiLk9N333lh56Sp6VSij76JROsBQIRERERFpFBkZicvXb8HC3BxtmzVUe65d80YwNzfDxWs3EBUVlWFqsH/nlsjq5qyc/vgpGOcu30rSOmaePCcDQAqvAwKZDFpP3nr54OiZy/p6e6JUkS2zHQZWLKs2739HTsA/OIQ1Tl/EIBARERERafTmvRdCw8KQL7cHLC0s1J6zsrRA3lweCAoOwXvvD1rX4MMnz7Bt7yHs2HcYl67dQnh4eJqqffG5fhzUWT5uUKMCjm/8D41rV9L69S/9/DH/rKfavJ/q1oCVmRnSk9KlS6Ns2bLyJh6nV3/MXY1vhv2KjoN/wa37T/RdHKIUM6BiWbjbZlJOi8DztGOnWMP0RewORkREREQa+foFyHtnJ0eNz7s4OeIOHsHP318md9bG4tWb1KYd7O0wtE83lCpW+IuvHTtpmsb5JkaRyJ7FHUFBQUgJdSqXwqrpP6FKuRJyOinrHbf7gBzGWaGomwua5M+TYmXTlXLlyqlN66v8wcGfW1Ql1fW7j7Bux2H5+Pj5q6jXeSR2L/2DCaH1tD0oZRlFRuC7KuUxev9R5bxF5y+hY/HCyOPowOrOAN8Na2trpAYGgYiIiIgysGu37uLug0daL1+xbCmZ/FlQtNJJaHQs89jWLaFh2rXmyWRjjeKFC8LNxQkBHz/J5NIffP3wv5nz8b9fRivfV99EEufSRfMn+XWnnj7Hnnufh24WxtWuDuN0lhQ6o5i+aINyhDOharliKJgnh17LRJSSmhbMhzU37uDK67dyOiIqCpMOn8SS9p/ztxHFxSAQERERUQZ2/fY9mcBZW+6uLspgjFlskCc8PCb5aFxhsUEiC/Mvd3WqVLYUWjWuDwsLc+W8iIhIzF68CifOXZDdw4b3657oOqaO/17j/AXLV6bKVdOkrE8MCf/b4RNq88SoYPWLFEzRMhmq5Gzb2ZO/x/9mr8TqbQdhYmyMyT8MgE0aGokuPUutFgqUdFOaNkDjhSuU04cfPcH5129RO18eVqceWKeD7waDQEREREQZWIkiBWGeQEseTXKqtMYRXbUEbx/NOX+8YufbZ7ZL0noVTE1N0KVdCxkEEkPRp2eLz1/CfS8f5bSVmSkmNqqr1zIZOmeHzJg2fii6tmmIKzcfoGAeD30XiSjFlcuRDe1KFMWm658T2J9+8pxBIEoQg0CJ8PUPwKVrN/HmnRcy22VCi4ZJ+0f+8PEznL10VXPFm5jgmzbNkrQ+IiIioqQqWbSQvCVHFlcXOTLYwyfPERIaqpYcOjgkFI+ePoe1lSVcnZ2SvWHSU0+pyzfvY9qCtfhv4rdwjA2QCe8CP+LPo+oJWUdUr4wcHBI+TShVJL+8EWVUP9evhd137qGAizMmNa6HSjnZ7ZESxiCQBuKAZuHKDXL0CkU/4qzubkkOAj198SrB5tdmpqYMAhEREVGaZmJigjIliuLsxSvYvGs/urT9nGdi0859CAsLR6VKpWBsnPiAs2KEMXFxrGgh9RNx0R1s1cYd8nHuHNmRVr1574PJ/63Apt0xCVgnz1qBv38eqnz+94PHEBgaqpzO5WCPIVW1H1EsLYqIUO8CaGrK0waitCprZjvs6dcdRVxdYWycjiLrpBf8Ndfgzbv3ePD4KeztbFG6RBEcPXX+qyq5RqXyyJE9i9o80S+ZiIiIKK1r06wBPK9cw5ZdB/Dk2UuZL+jJ85cyqbMIDIjnVd24fQ+37z9E6eJFUCBvbjkvNDQMv/wxEzmyZUGenDngaJ8Z/oEflYmhxXqaN6qDtMrz6h1lAEhYve0AOjavgwqliuDC85dYf/WG2vK/N64HyyR0wUuLZs+ejbCwMPnY3NwcI0aM0HeRiCgRxdzdWD+klfT93ymV5M2VUyYezJ8nJ6Kior46CFShTAlULl86xcpHREREpCsiaDOsTzfMXbYWV27cljfB0tICQ3t3lYEdVTfu3JethmysrZVBINGlrHiRgrh55z5evHqjtrwICA3q1Vm+T1rVon5VrN5WEifOX1Mmwn7w5CXKliiEsXFafdfNnwcNC+bTU0kN26FTF2ULpoY1K8oR3oiIKD4GgTTI4uYib0REREQEVK9cHiWKFpK5EkXORIfMdihbshgy29nGq57ihQvAxMQYBfLmUs4TI4L9OnoY3r73xoNHT2RCadG6RASQihbMLxNEp2UioPC/HwehdsdhqFi6iHycxyMrAkNCkdvRAddih2c2MzHG5Mb1GIDQg0/BIfhhyhy8fueN2pVL4/fv+yFfrrTbxZBIVz6GhsLMxAQW7NJJsRgE0gHRZPr1u/eyVZEYdrVMiSLy6hgRERFReiECPnWqV/7icqLFj7hp4u7qLG/pkQj67F81HQXz5FAGeWwtLbCwQyv0KFcaP+05iPoF8yHvVyTJTksyZ86M8PBw+djMzAxp3V/z1sgAkHD07BW06T8OF3Ytkq22iAyRyG278/Y9jNtzED3Ll8Z3tarpu0iURjAIpAOiSbQq0Xy6T+d2Wh1IjZ00TeN8E6NIZM/ijqCgIBi64OBgfRchw2Ldpn7dso5Tr26JdZvarHlBx+AUyqt5iPFqeXLiyKDeiIiKQkbRs2dPpBefgoKxbf8JtXmj+nVkAIgMls+nIAzZshOHHzyW09NPnEHr4kWQx8lR30WjNCBDBoHuPXwMzyvqCfoSU6Z4kXijVaQUG2srlCpWGFncXfHpUxBu3n0g+8LPWboG9pnt5IgbRERERJS+mZoYyxvpnjjePrp+Fn6bsQTrdhxGmWIF0K1NQ24KMlh2lhZ45R+gnA6NiMSYXQewoXtHdleljBkEevT0RYJDsyf0jyM1gkDFCufH/Gm/w8rKUq1Z3potO+UIG1v3HPxiEEgkqNZkwfKV8p5XIT9jXaQe1m3qtVaxsrJi/aYS7reph3VLhHhD3YdHRMDK0oJVoycOmW0xY8IItGlUE67OjjAxSdt5pohSk8gB9GezRmixZJVy3rFHT7Dt5h3ZIogMW4YMAhXKlwdd2rXQevliqdQKSOT/iUv0Ie/QojF27juCp89fpsr7EhEREVHq2H7zDurmz4tMFuZy+vLN+xgzZQ6qlCuO30b1YbXrWY2KpfRdBKI0oXKuHOhcpgTWXL6unDdu7yHUzpcb9lZWei0b6VeGDALlyZVD3tKq6NgWQRy6koiIiCj9OPP0Ofpu2Ibsme0wpVEdHN95HMs37ZXHdTfvP0HTOpVRoRSvshNR2jChQW3su/sAH4JiWqB7ffwkA0Gz2zTXd9FIj9hxORVduHIdkXESBEZGRmLF+q2IiIxEnpxpN1BFRERERJ+FhEdg1Pa98vFL/wB0X7cVBz2vyQCQIO6HT5ghhyqn1CdG3SWixDlaW+PXhnXU5m24ehN779xn1RmwDNkS6GuFhoZhw46Yf/KI/cceEBiIlRu3y8c2VpZo0+xzsrn7j57i/OVrKFIgH8qW/Jzj5+85S+RwqnlzecDZySEmMfS9B/D28YWxkRFaN22g649GRERERMnw9/HTeOTzQTltaWaGv34egl6DJyA0LBzmZqbo0rohLDPIkORbt25FRESEfGxqaorWrVsjrRBDwbcf9DN+HNwVzepWYet6okR0KlVcdmNVjBQmfLdjLyp4ZIeTjTXrzgAxCKRBaFhYvMTSHz8FKec5OtirBYGePI9JRB0VGakWBKpUrhTOXrwqA0SqRGCob9f2KFm0UEpvTyIiIiJKYddev8V/p86pzfuhdnXUKV1MBiK27juBmb+NROF8OTNM3T9//hxhYWHysbl5TP6jtEC0uPphyhw8evYK/cb8gca1KmHqjwPg7uKk76IRpUkiBcn0lk1Q/b9F8A+Jaano9SkIY3YfwKIOrfRdPNIDBoE0sLAwTzSxtLXKaF9Cgby55fL58+RSmz9yQE/0+iYQ9x89wTsvH5iYGCNbFncULpAXZqaseiIiIqK0LigsHAM3bUeESvej4lncMKhKBfm4f+cW6NupOczMeGynCyIH06FTF5XTe4+dQ5fWDRgEIkpEFjtbTG1aH4M371TOE62DmhYuwNHCDBD/W2lgYW6ONknoqpXbI7u8aSJa/ZQvXSL5W4jSFC8vL/j5+cncTobU397YmOnDUppoYl+2bFk8ffqU9ZvCDGm/FZ/RwsICWbJkSVNX6okykl/3H8ZD78/dwEyNjeVVdVOTmN8YMRQ5RyPXHY9sbnBxsoeXj5+cbtu4JupVK6fDEhClT+1KFMWu2/ewRyUf0Jhd+1EllwfcbDPptWykWwwCEWnp06dP8Pb2lo8NZWQ3Q/mc+iBOGpydnVnHqcCQ9lsRkA4KCpLdNjw8PBgIIkph++8+wNILV9TmjalTHSWzumf4uu7atasy6XVa+l2tU6Usjqz7F6MmzsLtB08xZcwAfReJKF0Q3+O/mjfC+Wcv4BM7WphvcAimHj6BGa2a6Lt4pEMMAhFp6f379/Le1dUVTk6G0e9c0eJJBCwo5VsCiaCii4sL6zeFGdJ+Kz7rq1evZJD6zZs3yJkz4+QjIdK39x8/YcS23WrzKufMgWHVKmn1+vDwCMxfsx1dWjWAQ2ZbpDdp+VjHxdEeK6aPx1uvD8jMFgxEWnPNZIM/mzdCn/Vb5XSn0sXxW5zRwyjjYxCISEuK5IgODg6sMyJKE0SgK1u2bLh//z5CQ0P1XRyiDEO0gPl+z0Hl1XLBztICc9o2h4kWXU3vPHyGERNm4PrdR/C8egfL/xmXplrTZASiPrO4pt1AFVFa1aJoIfSrVA418+RCw0L59V0c0oOMnzCBKAUPCMUBhyHkGSGi9BUIEr9NilxIRPT1ll26huOPn6nNm9a8EbLbZ/7ia+88eIqGXb+VASDhwAlPzF25jZuFiNKMKU3qMwBkwHg2S0REREQU6847L0w9ekqtPjqUKqb1CDqF8uVEw5oV1eYdPXuZgdpkXoBbtG4XfHwDuH8SEaUQBoGIDJDII/LpU5Ay4WNCgoNDEBYervV6w8LCERQckgIlpC/lmfik0kUhpQSHhMpt+CViG4sypEXyMyRhn9VH/RFR2vYhKAi2Fp9H28vpYI//NdF+1FjRMu/v8UORO0cWOT2id3usnfUrWxInw7KNezFl9io06fkDjp1VT9BNRClPnBs89vk8GiJlTMwJRKSt5+uBMF+8fm+n9zoztXaBa7lhyX79uUvX0LbXcFw+vAVZ3V0TXK5hx35o2agOfhjWN9H1HTl5DmMn/4N3773h5uqM8/s2ID0IDQtDVFQ0rCwtkJ6s2LAdf89Zgtun1ROWfq1GHfuifs0qGD9qkDLYY2piAnNzM7XlarToii5tm+HbgT2R1ojPUK9GZfw0UvejxcStPyJKn6rmzol9fbpg9J5DskuYyANkm8T/E3a2Nlj4xxi88/ZF3aplkR5du3ZNLdF+yZIldfr+56/cxs/TFsrHXh/80GnoBMz8dQQ6Nq+r03IQGYpPYWH4Ydd+7Lx1F/v790RhNxd9F4lSCYNARNoK8wVCvREW+JF1FsePk/5Gi4Z10t3J789TZ+Lug8fYsWquvouSJlhZWqoNMd6gfW80q18LP47or9dyERHpmouNDZa2a4F7vv4okz1rstZRrGAeFCuIdOvYsWPKQTHE/wZdB4HOXLqBiNgglJDVzRn1qpXXaRmIDMV9L2/0XrcV97y85bQYPezAgJ7IpNIqkuILDg+HlZn6xdL0gN3BiDL4MORJTRablO4s4gph4MdPePHqLQrlzyO7mMV9fUJlUHRJU31fTa9NjHj+S13aEiLeSxxcRkVHy3Kolj0kNFS2ElIlPkPcLnRiGbGsancgsVzc7lKKK6lfKk9ixDq0WY9q2UR5VIlyqZZXEN3KFPW8dfl/GNm/u/KziM8aHhGhrJ+E3j8p5dKmbr603YXkdLvS5jWa3lu1jhTEZ0hK10d2EyNKf0S3ruQGgOjrfdu3I+ZM+g6WFuayReqSaWPh5KD/1thEGZHXx0944O2jnBaPR+/cl+zjbEOw4uIV1J27FA9V6i29YBCIKAM6cfYCGnTog5xl6sKjdG206jEUN+7cT/Q1B46eQsVGHZCrbF0UrNwIf81ejMioxE/uD588h5K1WsUMpTvhDxSv2RJ/z12iVRnEa/NWaIDl67ehXP12KFCpIf5bvFo+t37bXtRs2Q0epeugcJUm+GnydLWAkXi+evMuct25y9bFkDETZTAqKSbPmIcN2/fi8vXbstziNmPBCvlc329/xqif/6e2/O17j2R5Hz55rpw3+te/0L73SNmiKH/FhiharRnuPXwiu0uNmzIdfUaMk+XPXbYe2vUegZev36qtMzw8HFNnLkCJmi1lvRep2hT/zF2m9g/Xx9cPvUf8hJxl6iBXmbpyPU+fv/zi51u4ciOqNOmknBb1I+q4Qfs+ynle3h+Qr0IDnLt4Tdmd6c//FsnHrXsMxeNnL7FgxQZl/Zz2vKx87Zt3Xl/8fJqIuvn+1z/xTf9R8rU5StVGh74j5Wt/+d+/cp6oi7pteuLW3Qdqr/UPCMSIcVOQt3x9uUzpOq0xe8maRA9QRPBl8vR5idaxCJhNnTkfpWq3kvtU2bptsGTNZuUyxWu0kPucqqVrt6Biww6JflZt3puIDNPOQ6fx7OWXfzMNXZvGNbFxzm/4Z/wQlCrCoayJUrMb7Jg61dXmbbp+C3NOe7LSNfB8/hI/7j4gg2UN5i/H/jjHrGkdg0BEGcyTZy/RbfAYVC5XCvfO7sX14zvg4uSAjv1Gwc9f8+gaj54+R5+R49G+RSM89DyAEztWwfPydTx9/irR92pQqyrun4s5OZ419Wc8vngQY0cMSFIZVm3cgbXz/8bTy0cwalBPLF69WQaU+nRpiwfn9uHcvvXIm8sDnlduyOVXbNiGEeMmo1v7lnhwfj/O7FmHpy9eYdQv6kGbL/nth2Ho3KYZypUsKsstbj8M/Rwg0daFqzHN1S8d2izXUbhAXjl/7ZbdaN6wNq4d246LBzchIDBQBrNU/fzHf1i1aSdmTBqL51eOYMXsP7B4zSYsW7dVuczwnybj2YvXcps8unAQrZvUw6LVm75YrppVystAzf1HT+W0COA4ZM4sg1hivnDi3EV5hbV8meLxXr9v/ULkzZUDQ3p3VtZPjcqfm+Fr8/kSsmXXAXRp1wI3TuzAyZ2rcOveQ9Rq1V22OrpwcBPund0HdzcXGfBRJeri4tUb2LV6Hp5dPoLfxgzDn7MWyUBiQob/NEnuY4nV8eAfJmLD9n34d8o4PL10WHYPfPD4Gfz8A7X6PF/z3kRkWEQQ+N8lG9FvzB/oMvw3+AWk3S7mVapUQfXq1eVNPNaXogVyo0ntSnp7fyJDMbJ6FdTOl1tt3q8HjsgcQfTZ24BA9Fq3BeGRMT0dAkNDZS6lkDQ6aIomDAIRZTBzl62VyZ4nfD8EmWys4WifGX//NgahoaFYuXGHxtfMX74eeXN74PvBvWFtZQk3F2f88/tY2RQ+tcswYfRQ5M+TUz4WXan+nrsU3Tq0RPcOrWBjY43MdrYyIFS7WkV58PzXf0vQrEEt9O/eQZZVvM8fP3+PXQeOyRN3XXNxcsTvPw6HnW0mtfmtmtSTN9GE3dXFSQY9zl+OaXEjiLLuO3oao4f0Rp3qlWBqaopypYphRL/umDF/uVzmzoPHOHziLH4fOwJ5cuaQ6+rSrrkMvn1JsUL54eRoL1tkCcfPXEDD2lVRrHB+nDh7UTmvYpmSsFDJA6StL32+xLRuWl9uQ/GZRYCvXo0qMDczk/Uo9hcbayt0a98CN+8+ULYAE3Wx/+gp/DZmuAy0mZmZyjxUHVs3wb8LV2p8HxEA27b3MEYP7ZNwHd9/hN0Hj+H3H0fIIJdYb7Ysbpg6fhQc7JPf7UCb9yYiwyL+h333+3+YMjvmN+vhs1fo/f1UvY1o+CXly5dHpUqV5E08JqKMzdjYCHPatoCHfWa1+YM378TFF4lfGDYUoRER6L1+K96r9EAwNzHBko6tYWmWftItMwhElMGIk89SxQqpDUUrAhT58+TCvUdPNL5GdGEqXbyw2rwcWd3h6uyY6mUolP/zFYdXb9/jg6+fbEGkyeu37+Hl8wFVypdW5qkRt1we2WBhbiZblOiaCJ6JE/y4cntkV5vObJsJ/ipXfK/duifvK5QpofZZihTMh3dePrKrltguQqli6tumTIkiXyyXCOBVr1hWGfARwaAaVcqjZuXyysDQyXMXUaNKuWR97i99vsTkypFNbdoukw2yZ3VTq0fbTDby3j82Efv92P2mbImiaq8VLbnEfqGpO+C12CtXlcqWTLCOr9+O6aJYubzmfS65tHlvIjIs4nfZzUX9/+rtB0/w6NlrGLoHT15i8qzlSc5jSEQpy9nGGmu6doCdyoiIIRER6LZmE575+hl0dUdGRWHoll24ECcg9mfzhigb59g2rUs/4Soi0ooIvIgfqbhEAl4x3LfG15gYIzK2SaOqiIjIVC+DmcqJv3FsyyNNr1U1cdpsTPpnXpz3NIHPh5T556Sp/VNUtOYymZlqrlNtG1G17DYk3jxrKyu89/aBSWwQLTpOfWi7XUTQR+TZEd36njx/heoVy8Exc2YM+uE33H34WHYLq1EpeVd3k9lILOHXfmGFJsYx9Rw3T5Vi5BjVgGNczboMSrCOxVUvIUrD/p9Y0bQ9UUnsvV2SGWQlovTrh4GdZS6gLfuOI2c2d6z+9xfky6UeVDc0L994oeOQX/D6nbd8PPO3EbJ1KBHpR0FXZyzr1AYdVqxHROzxjvenIHyzcgP29OsGeysrg2zJ+ePuA9h2847a/F7lS6NLGd2OnJgSGAQiymCKFMyLvYdOyNGLRNcWRXLhh0+eyZw/mhQtmA9HTp6TJ7aKk2mRO0a8TldlEETXLnE7fsYTrRrXTfD5oX26oHfntgmuR3yO4OAQWFpawCSBwJdgZmamMeDkYJ8Z773UM/2LoeRTUpniheVV4V2r58rWIZqI8gvnLx+HTPwAAFh9SURBVF+XXYoUtO12JVr9fPwUhOnzl6NEkYKye5PI//MxKAjzlq2T3cWKFtL83onVjz6IfUoQSaxFVzKF85euy5ZFogtZXKLFlKjjPevmo1C+PBrXa2VlKe+PnfFMcN8U+0Pc74IIoiVGm/cmIsMjfhemTxguR7ka0acDnB3Uu10YGm9ff3SKDQAJW/efgP/HT1g14+dEg/tElLqq58mFf1o2xvCtu5XzRBLkXuu2Yn23jjBP4CJoRvW/Iyew7MIVtXlVcnlgUuP6SI/460qUwQzp3QV+AYH4bsIfePbilexSNPiH32ReHpFPRpOBPTrJViEise+L12/lKF5ixC1dlkFxcDzu24EySa8YRUm8ViSt/uPfhdh/5JR8/pfvh+CPWQuxdutuvHrzDm/fe+PwybPo1G+ULLtw5cZtOZLXgWOnEy1n7pzZ8ejJcxnwUh0iXiRVPuV5CXsOHYf3B18ZIBOjeKWkPLlyoH3zBhg0+je5ftE9SCTU3rhjHzoP/F4uI/LltGhUR26Xc5euyW00fd4yZRevLxG5bfLl9pDrrFUlpsWPyP9TqUwJWceiu1hieZ/yeGTHxWs3ZUAssSHidUHkRGrXoiEm/PGv7Mb2zstbjuC1edf+BBN6i/rr0bEVBnw3IcE6Fuvt2q45JvwxSyasFvvT1Zt30ffb8fjg568MpolcVmK+eF+RiHrTzv2Jlleb9yYiwyS6L//+fT+DDwApWmFaWKjnpatRoSQDQERpwDelS2BUTfWk8KeePMOQLTsRkUgL6oxm3hlP/HP8jNq84lncsLJz23QbDGNLIKIMJoubC7Yu/w9/zFqEJp0HyG40lcqVxJZls5StJUTrGNElRXGVLXtWd6xd8A8m/TMX9dv2grOTA/p16yBP+hUteRIigghiXaYqP4LalEF0CxOvixuEaNusgcwfNGfpGixatVGWRcxTtIQRLYScHewxZ9laTJk+X5ZPtKQZ1OsbmcdI+PgpWN6LBNeJ+aZVE1y+dksOUS6GHx/Qo5MMKLRpWh8vXr2R9REcEoqihfJj/KhBckh4RfchQYysZWnxuc+0gkhYLVrRqBL5bsTnVTV2eF8cOHEOf81eLLtsOTpkRrlSxTFxzHDlMtMn/ojfps1G/1G/yKao1SqWweghfWQQTBt1q1fG67c7UKtaReU8UZfnL99A7Wrqo61YWVrCXCVJ9Jjh/WQAqk7bnggKCsGyWVNk8mRtP58mml4rkktbW8a0yFGIu48K0379AdNmL8EPv02Dr58/PHJkxfTfx6JNswbqn0Fl/SLBsxihK7E6/nPCaJmv6r/FqzF+6kyZY2pwr84yaCn8/N0gTPjzP/Qe8ZNcd9UKZTByQA8Z0Ems/rR5byKiuMT/3sRasepKYKD6CIm2trYp/h6uzg7YsmAyuo+chPNXb2N4r3YY2LVVir8PESXPj3Vq4OkHP2y5cVs5T3SJalWsMJoWKZjhq3X91Rv4ed9htXl5nBxkayi7OMeu6YlRtDiroHRnwfKYkSX69+gGQxcUFDN6kLW1daq+z90DvwFhvrCzS/6IQSnF1NoFruWGpfr7KFp+pIWD0aT4e85SHDpxBnvXLURaFRERAW9vb7i4uKS7+k3r0ut++zXu3o1JRF2oUKEM8XtLpO/jIn3t6++8PqDT0AkYO6Q7GtTQ74hcM2fORFhYmHwsAtwjRoxItfcKCg7Fhl2H0aNd43gXh/i7k7ZwexjethAjYrVbvg7nnr2Q02NqV8f3tasho9t39wF6rtuMyKjP4ZIsdrbY1acrPBzs0/V3gy2BiLTl0VHeZU3lkyz6ejfv3pdd0oiIiNKL996+aDtgnBw6vs/oqVj4xw9oVEu9xWZGZW1lgZ7tm+i7GESkgYWpKVZ3aScTRdfJl8cgAkAh4REYs2u/WgDIwcoSG7t30hgASm+YE4iIMpyl/05VSx5MRESUlokBDbqOmCgDQEJ4RAT6/vCHHEI+o/D1D8TF6zGtFokofRFdn7b16oLRBhAAEizNTLGic1vYxHbztzY3w9quHeTIaRkBg0BERERERHok8p+NG9Zd5ppT6N2xKQrny6W3Mrm7uyNLlizyJh5/DTH6V8u+P6LjkAm4fudRipWRiHQbGEloQJF3gR/xKbb7aEZRMmsWLP+mDewsLbC8U1uUzZENGQW7gxERERER6VnNSqWxcsbP6D7yd3Rp3RC/jeqT6AiOqa1jx5hu8F/r/pMX+GbIBLyKHQa+8/BfsXPJH8idI2uKrJ+I9Cs4PBydV21EVHS0bD2TI3ZgjYygZt7cuPztYGS2Sr9JoDVhSyAiIiIiojSgeoWSOLB6Bn7/vq9eA0Ap6cnz13jj9UE57f3BH2u2HdRrmYgoZYgxpkZt34vrb97i5tt3qD9vKU4/eZ6uqvdjaCjuvPNK8PmMFgASGAQiIiIiIkoj8ufOnmAASIx++OLNe52U4+OnINx7/ByXb96X92I6ORrWrIi/fhqsnB7cvTV+Gto9BUtKRPqy/dZdbLp+SzntExSMdsvXYvH5SzJAlNZde/0GdectRYslq3DvfUxrRUPA7mBEREREROnA/+aswvJN+zB3yveoW7Vsiq9fnLSdunAdyzbuwb7j5xEZGaV8zsTEGI1qVpSjeFUrXyJJLZW6tG4Arw9+sDA3w6BurVO83ESkH82LFMTQqhXx3+nzynkRUVH4cfcB3HjzDn80ayBHF0troqKiMe+sJyYdOobw2N+5DivWYU+/7siW2Q4ZHVsCERERERGlcdsOnMSsZZsR8PETugz/Dd9P+g8REZEptn6RsLl2x+FoP+hn7D5yVi0AJIhpMV88L5bTlOD5U3BIgusf2acDA0BEGYyJsTEmNKyDuW2bwzJOsGf15WuoM3cJzj59gbTk/cdP6LRqPSbsP6IMAAmvAwIxWyWYlZExCERERERElIZ5+/pj1MRZavN8Az7C1NQkRdZ//NwVtOo3FncfPdNqebGcWF68TvAP/Iixf8xDo27fISg4NEXKRETpR7uSxbCrb9d4rWjue/nIrlYjt+2Bb1Aw9Em0dNx9+x5qzV6Eow+fqD1nKoJZDWpjUqN6MAQMAhFlUCGhoXj87AUeprPkbPT1vHx85bZPKVFRUXj99j3uPHiMT3r+By72a1GOsLBwvZaDiEiXnB0yY/bvo2BjbSWnM9lYYdL3/VJk3aJFT6/vpyIoTise0d2rdNECsguYuI/b/UssL143fdF6VGzRH0s37MGDJy8w4Z9FKVIuIkp/Q6ofHNATlXLmiPecaBVUZdYCbLx2Uy+5gs49e4Gmi1ai57ot8IqT3yyXoz329OuGodUqwdg4YyTk/5K010GPiL7a+m17MW7KdLi5OMHVxQlbl/3HWk3DHjx+BidHezim0JCay9Ztwfa9h3Fq15qvXtezl6/xTf9RMvhjn9kOf04YDTvbTMjtkQ2WFhZILaFhYXj87GW897n74AkadeyLkztXI3+enKn2/kREaU3j2pVwaM10jJ48Rz7O4uqkcTnREsfaSrvfZ3EyNmzCdLUAkLGxMfp2aoY+nZohZzZ35fxnr95i8bpdWLRul7w4EPNeIVi97SD8Aj4ql1u5ZT9qVCyF5vWqfsWnJaL0yCWTDbb0/AazTp3DP8dPI1Sly6r3pyAM3rwTyy9cwbpuHZApFY8jFcSoX5MPHcP+ew81Pt+hVDH80bSBTsqSlrAlEFEGNHXmfHw7sCdO717LAFA60LLbYGzasR9p0ZI1m5Epkw2uHt2G49tXygBQ7Vbd8fBx6rYwEwEgXbwPEVF6kjtHVmyc+zt6tW+S4OhhdToNQ7eRv+PE+atfvOIukkDfe/RcLQC05K8fMfG7vmoBIEFMi/niebGcwss371Ekfy7ldPmShVCySL6v+JRElJ6ZmZhgVM2qODGkL2rl/fzboBAeGZnqQZe3gR8xePMO1JqzWGMAKJOFOea0bY7ZbZobXABIYBCIKAMRw7fevvcQb997w9TERHabee/lo3xeXLl79uIVXr5+q/G1YnmxjKIrmbePr9qBpXitf0CgxvcOD4/A0+ev8M5Lu+EV37zzwvNXb+TjD37+uP/oqXxfhcCPn/DoaeJD0ornnjx7Kd9bEy/vD/JzqK5XQbyfn3+AfOz9wRcv4tSJKJNoBaO42pnYazXVpzjwFvUZt/yiq5Yos4LorhcZFYn33j5yeXGLW15t6kKU9dWbd0gKsb3E+919+Fjjdrv38AnuPXgCh8x2uPvwCe7cf4ynz2PK/vRFzGtFXWiqd03bRbUrl3hOLCP21bjE89q8j6hj8ZkT2ie/VB5NVMuoWL/YxqpE1zhN5VYtl9i34+4/4jsk1h0Q+PmKuYJYn6YufEkpOxEZBtEtSzUIo+rgyQt4+vKtvO8w+Bd5S4wYBUyVaAHUqFalRF8jnu/TsanaPIfMtjJINHfyd9i+6H/wyOqm9echoowpj5MjNnTvhHntWsDFxlo5v3/l8hqX9/r4CQEhCSeXTwobMzPsvHUPUXEC4WYmxuhbsSw8RwxE+5LFYKjYHYwoA7l64w7GTZ0hHy9YsR5rtuxCp9ZNMKjnN7KL2MS/Z0P8FoaHhyOznS3+/OV71Kkec7B35sIVdB8yBsP7dcOydVvh6uyIHh1boWen1pg+fzkWrNgAU5H1PzoaZUsWxT8Tf4SLs6M8yf1n3jLMW7YO1lZWMlBRrFA+zP97IrK4uSRY1qkzF+Dug0fI6u6G85euyW5ri2dMRmbbTPhuwh84euq8nOfzwRfdO7TCrz8MVR70ioDFD79Nw5GT5+QyIkgyoHtHfDe4lzKwMmzs77hz/xEc7DPLgE3fru0xdkR/5ToadeyHejUr4/qte4iIjIS3zwfkzeWBGZN/wqR/5sqAh5hvbmaKpf9ORenihZVlF69tWr8mPK9clyfnIlhWqEAeLJo+CR7Zsii7M4mWLEv/nYLGdWsoX7t41UbsPXIShzcvldM//v43Pn4Kxobt+3Dw+Bk5b/7fv6FQvjwyAPCluhBBvwHfT8DLN+9gl8lGfl7xObTx+z9z8fBJTBJQH1+/mHljhqN10/rysajDJ89fyccDv58g1+/9IWY5UUcWFuawsrTEvvUL5bzL129h9K9/yYCVKEdwcAh+HzsC7Vs0UuvKNajXN1i3ZTcc7O3Qqkl9/DC0j1q53rz3wsRpcxJ8H2Hd1t3YuGM/LC3N8eatl9yW86dNhLm5mXKZL5VHE0UZu3dshT2Hjsv3FUEfsb37dW2PUb/8gaDgYBkkLFIgL1bO+VOtG9/+I6fw0+R/8DEoCCbGJvI789sPQ2WdmpiYoM+In+R3btLYkWrv23nAdyhZrBCm/z422WUnIlq4dqdaJVQo9fl/l6rX77xlC559x86rBZdEFzBt9O3UXHYLU7Q0OnflFm4fWoXMdpm4EYhI7XelbYmiqJs/DyYfOo4jDx6jeZFCGmtIjMw158x5FHVzQ6Wc2WVuIQ+HzLAxN4e1mRmszc3k46CwcDzy+YCH3j545OMrgzputuq/PbaWFqhXIC923b6nnNe2RBH8WKcGcjk6GPwWYhCIKJnOfPsNIkN0kyTXxNIKVaav/eJy1SqVlcGF7CVr4dcfhqF5w9py/rVbd/Htz1PlyWi/bh1k4OaXP/5F329/xunda9SCNZev38bFg5tktx/RcuGv2YuxYMVGLJ4xCbWrVZQHfCJYIVotiCDQjPkrMGP+ciz853cZ7BAtKcR6h/80CRsXz0y0vNdv30fzhnWwbNZUOS3eTwRYxDpO71krAyoioNO6x1Dkze0hg1IRERHo1P87WJib49y+9ciWxU0u/+/CVXId4vk+I8fJfEi3Tu6CjY01Tp27hM4Dv0f2rO5yHQqnPS/L7nIF8uaSgaVaLbvL9xfBsfULp8vy9Br+k8yvtGftArWy79h3BGsX/I0q5UvLlijdBv+A4WMnYduK2UnatpuWzETxGi0wtE8X9O/eQTlfvLco85fqQgSARNDn4KYlMnfOzv1H0W/Uz8iX+8uBILFNVW3ZdQAjx09FqWKFkTtndhzYuAR9Ro5XW1a0ZBHBLRHwKlY4v/K1oiVVx36jUKNSOexcPQ/WVpYyiNJv1C8oXqSADGop6/38JZzYsUruP5rkzJ4VS/6dovF9FC5cuYGj25bDycFetpSp164XVm3agd6d28rnXyahPJrcf/gEp3aulnmQjp32RKf+o3DizAVsWDwDJYoUlEGgem17Yc6SNRg/apB8jWj5M+D7X9C/e0cZcBQHPuK7MeynSShUIC8K58+DTq2byoDpL98NUQasrt68i9v3H+F/P3+X5LokIlIIDQuHvV0meZFA/J83MzVFj7aNE2wB9O/STWrzShXJH68LWEJyZneXy1+5dV85fPw7H18GgYhII3srK/zVvBHCIiJhnsCohmefPpcXq2++fSdvi85f0qo2q+byiBcEEloXLyKDQLXy5sbPDWqhRBbtft8MAbuDESWTCABFhgTp6PZ1wabFqzejYL7cMgAkv/jGxvLEVbRyWb1Z/arhTyP7ywCQIFq5LFq1CX27tpMBIEGc2DaoVRUVy5aUgYp5y9ehXfOGytYuIhAxccwwnDx3CTfuxBwcJiSbu6sMfigcP3NBvmbC6KHKFjUimNGvW3vMWRqT5PjoaU/ZwufPCd/LAJDiPRWtSU6cvSi7Mf3+4wgZAFIEx0RLjEWrNqq9f/f2LWUASHBzcUalciVlsuEu7ZrLeaLlRtP6tXDzzoN43cJaNq4rA0CCaFU17tuBOHfpmlw2JWhTF+KziqTSE38crkyeLAJ/NatobmarifhcosWRqLPCBfPBPrMtTmn5T1fV8nVbZQuzab+NkUELoUm9mqhesSzmL1+vtuyoQb0SDABp6/shvWUASBABqwqli+Parc9Xe1Zs2K51eTQRrcpEAEioVbWCPLFp06yBDAAJovVP9UrlcF3lCtPKDdvlviD2RcUoOqJlndhPl67dIqc7tGwsh1Lef/SUWqsmsW0rlCmR5LokIlKwMDfD4r/G4tz2+RjYtRW6tW0IV2fNV7w1DePulsCyCXF1jvkNVhCtWomIEpNQAOhjaBiuJzGtgcJDn8+pL1TVL5AXp4b2w8YenRgAioMtgYgMgGi1U7SgepJGETQQLUoexRlCPpdHdrW8PaJ7l2pXKFWv3r6X+U1Eyw3RQkR9/eYyj0vxwgUSLFfOHNnUhpwVuWkER3s7tfWJoNTzl28QHBIq1ymubhYrlD/Bz2puZqYM7iiILmqipYsIXIngjuAep7ua6M6WxdU5zjxLhIWHy5vqKFWiK5CqwrHTj54919hyJam0qQvRVUgMF6wIEinLVjCfVvmBRLe/v+csRVh4GJwdHWTXJT//QLx+55WM8j6BR/aseOvlLW8K7m7O8fL55PLIhq+Vxc1Vbdra2lotZ1JSyqOJu6t2+4bqe4p9TwRbZbfJWCLgKvYVxffM3dVZBpXWbt0tA3aipde2PYcwtG/XFCs7ERk2kY/n1297J7rMp+D4AZt33ur5z77kvXdM92AFMWw9EVFy+AYHo2beXPB8/gqBGnJ5JuaR9weN863MzFAwzrEbxWAQiOgrumill/cSJ6sip0hcYmhXEURQey+VZJMi34oghgdP6KqjsHrzLmzbezhegCdCZVhITUxM1Bsjmpuby5Pmb3/+X7xlRVAnIDBQBmJErh7R7N3KMn42f3GyHh4RIYM2osuY6me1tLRQBoC+VnCcxHWKaRvrmNZHqsEtVaJs2tCmLsR7iQTGojWPapLQoAS2lyrRgkXkIxLd+Jo1qKUsb5m6bRCtIRn2l1iYmcncOSJ3UFxZ4wTbRK6c1JaU8qQUse95aTiJivs9+6Z1U9mNTySDPnfxqswf1EEl148+yk5EhqVIvlyoWbE0jp+/opx39fYDOQy8Nl3Cnr18K5dX/X+eNYEh64mIviSHfWas69YRkVFRuPXuPc49e4Frr94iIDRU5gD6FBYm74PCwyEOWfM4OiKfsyPyOjuiXI6vv7hoaBgEIkombXL0pBUix4vo9iVORhXdS0TekYePn6FPbA4VTVydnWS+mb2HTsguX6pEVzHRhUp0YxHJakf07672vAhMaBpZKzFVy5eWOYeWzJwcL7mxSLQsgjpVypeSy+w7fEKZwFhRHjMzU5QqVkg+f/y0JxrUrqZ8XnQjK1lUcyK65HbX+nZgT+X0sdMXYGpqomxxJcoquhC9fqveqkbkf4lLBKfiBoe0qYuSRQvK153xvCK7vAmipZPozpVQEEpBdCMT5RUJjxXLihZHovVXYqxiW0PFLW/lCqVx7fY9HNy4RC05s6K8SZXQ+2ircvlSuH7nfoqVRxti39t98JjsXqfo7ibyRYk8WyI5u0LD2tVkt7sN2/fKvFR1q1eWib9Tqy6JiOLq17mFvPUZPRW7j5yV88T/nMXrdslh4L9k0bqdasPPixHDMqmM/kNElBziYrTI3cP8PamLQSAiAzBYjMa0dQ96DR+LYX26IiQsDFNnzEe+PDnRsVWTRF/7+4/D0XPYWJlYum3TBrIVzqad+9GiYW0ZZPnf+O/Qa8RPsmVOjcrl5I/3rXsPZVejtfP/TnSEsLhEl6r+3Tqgy8DRGDGgu0yAK0b2OnfpKm7ceYA186bJZUTy3x8mTsN77w8oV6qo7B41d9lamchYdIUSeVe+m/Anfv0UhBxZ3WV5L129iR2r5iKlXLp2C2MmTpPBsUdPX+DXP2ehV6c2ap+3UZ0aMn9PjqxuMr/Mlt0H4Xn5OvLkyqG2LtGF6NCJMzLHkAgI5fbIplVdFC2UX+YmGj5ushwxTATtlqzZLOsjZ46siZa/TPEiskXO+Kkz5Wd48foNJk+fF691VlxZ3F1klzTRtU50yxNBCtEyqWu75ti+57BMZt2nS1vZXUt0Sdt35CRyZMsSbwSwL0nofbTVuW0z7Nh3NMXKo41uHVrK/b770DH4YWhfWZf/zFsuR1VTTfotgpXiuyTyBL3z8sHSmVPU1pPSdUlElJCe7Zsog0CCGPGrStliiQ4Tv+/YOSxev1ttXq92mhNQExFR2sMgEFEGI1p1iKCCIrmzIAIQe9bOx3+LV2NS7Im+yEsytE9XeUIq2Gayka+L211KJBkWI2MtWLkBE/+ZAxcnR7RtWl/Zyka0QNm9Zj4Wr96EidNmyxN2EYgRozolFgAS3VrEsnH9NmYYKpYtgc07D2Dpms1wdnJE5XKlsODvicplpoz7FmVKFMHWPYewefcBGRz4d2rMKFbCPxPHyGTYqzftlMPH582VQwaAVHMbideI1hhqZXJ3jdc9TtSjqBdjI/XgyE/fDoCvXwD+9+9C2TpD5HQZ1LOT2jJTfhqJ6fOXY9ai1TJXQs0qFWRCbhHIUV/uW0ybs0R2zxI5YhRDxGtTFzMn/4SZC1Zi7tK1ctvVrV4J5UsVk4m5EyOSKa+ZP00mGhbBLNES5edRg7Fl9wE4qyRtzh6bfFtBtEBaNP13LFi5ESPHT5H5b8TQ7aKb3qalM7F83TYZCPH1D5C5ikTC8NZN6im7F4q6jNu6RZME3yeBdcQtpzbl0SSh9YsWb05xhhQV+X38A7KplVmMDie+Z2JUPXGVvEyJopj316/xrpB3btcMx89ekEmj69aolCJlJyJKqmrlS6BgXg/cexSTt0y04O09+n/o07GpHAZejAKm2gVMtAASASDVlr6F8uZE1fIxie2JiCjtM4pWbctJ6caC5Svlff8e3WDogoKClIlhU9PduzHdeAoVSrkuRWmd6FokpFQenYwiT7n6mDB6iNpw80klhnf39vaGi4sL6zeFGeJ+q6vfJ1393hLp+7jIkPb163ceoVW/sbLLeNyLSmIYeDEKmEgafe32Q7UuYILoYr5t4VSUKKw+WEJKMqRtkR5we6Qd3BZpS1A6+q3iEPFERERERAZKBHCWThurzBmoIAI+V27dx/7jnrh664HGAJB4XWoGgIiIKOUxCERElESaupIRERGlVzUrlZYtekTXLm2I5cTy4nVERJS+MCcQEVESidw0REREGYlo0XN0/b84feE6lm7aKxNAR0Z+zv0j8gmKhNEiCbTIAfSlUSiJiChtYhCIiIiIiIhkYKdahZLy9vFTEF6/98HHT8FycIOsrk4cBp6IKANgEIiIiIiIiNSIUQ0L5E77CU6JiChpmBOIKAlXx0RSRNVhUYmI0sJoaOK3ydiY/9KJiIiIKHE8YiTSkrm5ubz39fVlnRFRmgkAvXr1Sj62sLDQd3GIiIiIKI1jdzAiLbm6uuL58+d4//49vLy8DKLeFMPBMvlj6tRteHi4DCqyflO+bgVDqFfFZzUzM0OWLFn0XRwiykDevXunNu3m5qa3shARUcphEIhISzY2NnB2doafn5+8+m4IDOlkWtfEPuTt7Q13d3fWbwozpP3WxMREtgASASBFa0UiopSwbt06hIWFycfi92XEiBGsWCKiDIBBIKIkcHFxkTdDERQUJO+trZkYMqX5+Phg7969GDJkCOs3hXG/JSIiIiLSjDmBiIiIiIiIiIgMAFsCERERERGRmty5cyMiIiLmhMGUpwxERBkFf9GJiIiIiEhNixYtWCNERBkQu4MRERERERERERkAtgRKp3x9/eTw0guWr4Shi4qMkvfGJoxpsm7Tj4jwCHyKiMKKdRu576Yw/iakHtatOjcXZ7Rs0jgVa5yIiIgoZfGsOZ2ysrSEmZmZvouRJrx881beiHWbnrx+9x4RUQxepgb+JqQe1i0RERFR+saWQOnU8IH99F2ENGPspGnyvn+PbvouSobDumXdpkfcb1m3RERERKQZWwIRERERERERERkAtgQiIiIiIiI1ixcvRlhYmHxsbm6OPn36sIaIiDIABoGIiIiIiEjNx48f1YJARESUMbA7GBERERERERGRAWBLICIiIiJK13x9/RAeHo4Fy1emyPqiIqPkvbGJ4V4v9Q8ORVR0tHwcHBmaYnWbVNwWaQu3R9rBbZHxt4ebizNaNmmMlGYUHR37605ERERElA79O28hgkNC4OBgnyLre/7ytbz3yJ41RdZH3BYZBb8baQe3RcbfHm6pFARiSyAiIiIiSteGD+yXousbO2mavO/fo1uKrpe4LdI7fjfSDm6LtGVsOvq/YbhtXImIiIiIiIiIDAiDQEREREREREREBoBBICIiIiIiIiIiA8AgEBERERERERGRAWAQiIiIiIiIiIjIAHCIeErXfHz95JCwmW1tYZvJJtnrCQj8iJDQMDjaZ4apqUmKljG98vUPQFRkJBzsM8PYOGnx4jfvvBAZFanxOXs7O2SysUZGFRUVBV8/fxibmMDezhZGRkZ6XU9GEhkZiQ9+/jA3M0NmO9skvTY8PBzvvH0SHYLTzNRwB8wMDQuDt4+v/K5ncXNJ9npEPYvfDhtrK9hYZ9zvOREREVF6xSAQpTuPn73AGc/LuHjtJl68eiPnde/QCi0b10vyum7cvoclazbheex6rK0s0aBWNXRq08xgTwhPnr2ANVt24X3sCbM42W7VpB5aNKyr9Tp6DhuDwI+fND7X65u2aNagNjKa6Oho7Nx/BNv2HoJ/QKCc5+rshC7tmqNaxXI6X09GEhERiXVbd2H/0VMICg6W83Jky4LenduhRJGCWq3jyfOX+H7C/xJ8fvrvP8Eje1YYElGXZzyv4OLVG7h++54MBImA4+KZU5O1ruXrtuLE2QsICw+X8wrmy4P+3Togl0f2VCg9ERERESWHYZ7lUrq2YsM2GbwRLMzN5YlLcty5/wiT/pmDiMhIGfyxtrKC9wffmJPvwEAM7dMNhkacwM1csFw+Fi2rRKsoX78AeXIXFhaOds0bab0u0VrD2ckx3vyM2gpo4/a9WL99j3xsn9lOtloRgbTp85bJedoGcFJqPRnJvOVrcPTUefnY2dEBQcEhMgA8+Z85+PWH4ShcIK/W6xL7n51t/FZEpgYY9L338AnmLluj/L5+Tau1qTPn4/a9hzA2MoKLk6NsXXnv4WP88sdM/DnhB7i7Jr91ERERERGlHMM76qV0L0/OHChRuADKlSqOOw8eYcGK9claz+LVG2UAqEXDOujSrqUMeDx4/FQGhsQJZ4Na1VEgby4YCnH1ftm6LfJxny7t0ahOddk15MKV65g2ezE27diHOtUqwdHBXqv15cjmjj8njIEh8Pngi827D8DUxATfDe6DCmVKyBY9+46cwKJVG7F07RZULFMSZmZmOllPRiK+k+L7KIK0474dhEL588iWQWu37sK2PQfl93jabz9qvb56NauiW/uWqVrm9EIEv+tWryx/S0sWLYTeI7SvR1Wnz1+SASBXFyeM/3YwsmVxQ2hoGOYsXY1T5y9h1aYd+H5wnxQvPxERERElHRNDU7ojun61adbwq7puiFYEontIVnc3dO/YWpkHKH+eXOjQsol8fPyMJwzJtZt3ZPej0sWLoEm9mso8QOVLl0CD2tUQHhGBMxeu6LuYadLpC5cREREh60kEbgTRqqJx3ZqyPv38A3Dt1l2drSejtU4T2rdsJANAgvi+dm3XQnYJE9/j5y9f67mU6ZPorjW4dxe5r1lYmCd7Pcdjt1Hvb9rKAJAg1jeoV2fZ8urClRvKbnxEREREpF8MApFBuv/oqbwvX7p4vC4QlcqWlPcPHj+BIdaJIvigqmJsndx/lLQ6EV313r73xqegIBhE3ZWOX3eVypZSW0YX68lIPtdJzD6oIL63inpKap2IfFWii11yu5JS/NZaojtZqeJF1OZbWljIFkYisClyuRERERGR/rE7GBkkRdLjbO4xV61VOTk6wNLSAu+8Eh5JKCNSjJyULYt7vOeyx85LSp28ePUWPYb8IFsQCR7ZssgWXNUrZbycNu9j60XRCkJV9qwx8955eetsPRmJqBORpN3NxSnec9mzuie5Tg4cPSW7kQkmJsYoVqgAurZriTy5cqRgqQ3Hp6BgfPwUJLeFpmT6yt+O9z4oVkgPBSQiIiIiNQwCkV4CMIrRY7SRxc0VJkkcovxLQkJD5b21taXG522srOAXEID05vXbd4iKjtZqWWMjY2R1d1VOh4TE1ImNVfw6EcM9C8EhIVqXRWxjkXPE1jYT/Pz85QhsM+Yvg5e3jwwGZSSf96eYelJlHTtMdnBs/epiPRmJqBMrS0uNSYuTs1+KbkmKhNuiRZDoXify2fwyeiiKFMiXomU3BMp9VsPvhpyfjG1EpG/i/9frt+/lY/F/UrR0o9QlfpNfvX2P8PBwOSKmGJziS7x8Pshu7I72mbXOV0jx9/Wnz18iMjJK5tz8Utdgke9NXHgxNjGGm7PTF3MUiuVfv3svj+OzuLsa7Mi72h6fiIut4ngni5uLHPwmrsioKNx/mHirfPG6hC5siXMwMXCDuODtkNkuxcqeEfn6B8DHx1cex7i7OivTZCRG9HwQ21B0hReDZCQ24IY4nn/z7r0cmCSbuytMTGJSk+gKv4mkc3/8uwBPX7zSevml//4PdraZUrQMii+lSLqrifiRNTHW7ZcxJYz+9Q+EhGrXxUUk2l055y/ltBjVR9AURBL1IWgbjKtbo4pMIq1o0SL+se06cAzrt+3G+m17ULNqRThloAM25f4UFb/uoiIjla1OdLWejETUSVR0zP4XlzhoFbT5xykOikRC6DrVKyt/T8SBrEiG7nn5Ohau3CCHiaekMf7Cb6kYOcwQ91tKn8R+vHnnfjlKqCJwKQKcrZs2QJumDfRdvAxb59v3HsKW3Qdky0JBnGyJbuj9u3XUePz37MUrzFm6Bg+fPFPOK1owHwb37ipP1ujLDp04g4tXb+L6rbvKrtHif2BC+TZF8ECMznvu4lXl7734XReDC3Ru2yJe0E4cN67dvBN7Dh1Xrl+cGHds1VTmnaQYom72Hj6Bk2cvqJ0bicBAtYpl0bNTa9hm+vwdCAkJwfip0xOtvtwe2eMNmPHo6XPMWbJa7T1Ed+3BvbrA2cmBmyOWCCrv2H8EJ8544oOfv2I27O1s5f+BZg1qQ5O3772wdO1mXL5+W3ncI4LZHVs3Ra0qFdSWFYObrNy4TbZMVzSKsMuUCV3at0C9GlWgKwwCkc6JEWTCwmO6CGkjNU4eMsW2qhBf9rjEl1d0b7DNlP6GMheJrrUPAqlfubexSbhOxFUD1WW+JO7oSyLg1KFlY9lS6eS5i7hx5368H8X0TDHsvX9gIKzi1Kt/bN0p9jldrCcjEfucaEkmuhXGvYKo3C+1qBNxNb9Vk/pq89xcnPHdoD4Y/MMEmVza188fDvaZU/gTZGziCpkI1PkHxGyLuAx1v6X0adPOfVi3dbdad9OXr99i9aYdMjDRqnE9PZcw41m7ZRc279ovH4sr56KFp2g5cvbCFdkdeOr479QC/T6+fvj1r1ny91/8zxS/4+Jq+q17D/HbtFn4+7cf5TEHJd7qau7SNfKxaOUmjgeDgkMSbbHw8/9mwNvHVwYnxP9Tcaz8+s07HDh2WgYWJv80Sq2lxMoN27Bz/xFlOgAxGq9oXSdG9BSDOzSoVY2bCMAHX39ZV4LYDiJwIOpbXKQ6dvq8DHj+7+fRygFsjI1NlINkxOXzwU+2jlPk8VQQuTl/+2uWDLKKYJ14j1dv3sqW0L9N+w/TfhujsdWRoeY43LbnoDyuERer7TPbwsvbF34BgTLIExYWFq83gxhs6Jf/zUTAx49ydN+cHtnld0z87xDrinu+s2jVBhw8flq+R84c2RAaGiq3kfhOWpiZoXrl8jr5rAwCkc6NGdZf77WuaKHy+NnLeM+Jk0GRyDSbe/zcOGndX7+O+eo6efLshRyJKu4VBNVlkkuRHyQogyWKFrml7j54LJPfuru6qD33+OkLresupdaTkYjP+8HXD8+ev0K+PDnVnnv07Ov3S3FgJa4cixMLcYDEIFDSiANHZ0cHeeAZ+PGj2hVL4bHytyP9/Z6SYRGjL27ZdUAexP84YoDy/+Cla7fwx6z52Lh9D+pWrxRvH6fkE4Gc7fsOy4t9o4f0laORKub/PWcJbt69j8Mnz6oFDESgTjxfvlRxfDuol/wNEq2N//fvAty6+wC79h9Fh1Yxo7xSAoyMZAuecqWKy9Yg0+cvw4Ur1xOsrvOXrsoAkAiMTvh+qLLrnTj5nfDnv3JwBnHyLEacFMQJ7e6Dx2BuboZfvhuKwgXyyvmnz1+S7yWCqjUrV/iqUSkzCgtzM7RsXA81K5eXAQGF2/cfYuqMeXIE1EvXbioDO1aWFjLgpsmkf+bA54MvalWtqDZftMIXxzdVK5bFsD5dZRc+cbFbLC+22/4jJ9GiUd1U/qTpg72dHfp2bY+qFcoqWyGKgOf+oyexaNVG+XslLigqAp7iuZkLlssAUMUyJTGo1zfK/xFiW5w8fyneOaZohScCfhO+H6Y8rj184izmLF2N5Ru2onL5MsqgX2pi+2wySEUL5ZdfYPGPTZy4qNp/7JS8L16kAAxJ8cIxn/foaU9lMmeFg8dOy/sShQt+cT2iP7/G+RERuHjthvJqX0asu0PHz8T7zEdOnYtZpkhBna0nI1HUibhqokocwJzxvCy7IxUrlD/Z+6Vo4v7o2Qv5e+DowFZAyd1GonvAoeNn1eaLln837z6QzZxzenw+uCVKi85fviab5teqVlHtQkjZkkVRs0pF2crW83LM/zBKGfcePZEX3SqXK60MAAni5KtX57by8YkzF5TzxQmXaCEkAnUDe36jbL0gWv4M7NEpZvlzn5cnzUTX/sG9u8jRYLUJxCi6xdSvWVUt91KObFnkybLqMsKZC5fltmpct6YyACSIIIR4T/H/+8qN29w8gKzP7h1aqQWABJGjsEm9WvLxm/deX6wrEaS7dvOOPEZUPcYWxz6el6/J78qA7h2VOZxEK7r+3TvKxyfO8jujIIIyYr9V7YYqjg/FPHFxVuy7qjkORWsqEagTOZxEUFr1IoHIuxS39eip85fk8VLzhnXVLmzWrVFZBmR9/QJk8FsX2BKI0h2RzFV0lxH8/WPuxVWhl2/eysfihEP1y/ve+wPCwsNkk2FFdxLxfOXypeVVid//noNv2jRDZjtbeXAhAh7ix1LktDEk+fPkQr7cOWUfe5G3SfR9NTczlU19xY+cuNpfPs7w8aJpr8jXomjhI2zdcwj3Hj6W/+yzuLrIK0GiyfDuQ8fx4PEz2a82owUyKpQtKRNTinr6b/FKNKhVHRGREdi6+6A8ES6QNxfy5vJQ6ysvk8GZmKi1+EnqegyB+B6KHB3iyonoGlatQlkEfvoou2yIf8ZiPxPfXQVxEicCO+I7rHogNHXmfLg4O8p/sqIptDjxePjkOXbsOyyToosDU0PsQqD43RREmoeoqGjlPBFgE11MFYKDQ+Dj5ye736kmlGxYpzqOnj6Pddt2w8jYCKWKFpK/uys2bJUnAg1qV0vx5P5EKe3h45j8MqJ1RFyi1cmRk2fx8MlTebBOKSMktguSphaYit8Y0RJZ/I6IEzGRd0McA4oWJyLBvyrxWyVahb56804mZ9WmmzBpR9HaVtMIsYrROVVH2/38XSqm8bt0/tI1PHjyDJXKleIm+EIrIcHF8cs5e8Tvk8jpWad6pXgj9YoAtjj2ifudEInARZenZy9fy2DRl5J8G/ogGB8/fZLnj6r1ePn6LXnfsHZ1eY4pgnFiYCFxnKkpn5kij5nG70bp4vL4X3x/ShUrjNTGIBClO6JFgGhKqkokcRQ3QeSeEYnnFKbNXohHT19g5pTxasGK3t+0lV80cYAhmkQqiBOfvt06GORIE0P6dMXPU6fLKzSqV2nED9vQvt3ijZAyZuJfshn2hkUzlX32RRPGqzfvyFtc4iRbRMotLSyQkYiAg6gf0XT36Knz8qYgrraIelX16VMQRvw0SQYp5k2bmOz1GAJxctCvWweZ0FAkDxU31fxi4nsct6mt2C9FktCJP45UzhcHR6KFVdxWVoqrmf27x1xFNiSiz7rYD+MmqVTMs7Qwx+p5/yifu3T9JqbPWya7EYiryAoieNyueSNs3LFX5jZYGSe43KYZE+pS2uf1wVfeiyu6cSlG0vTyiVmGUoZzbKBetGAQyVJVu0Bcij25EoF90VVPHJMp6l/TNpLbyc1VBoG8vD/AxoNBoJQiAqMiD82+IydgamIsL+SJi1miNb3oqlSjcnm1hNLeHz7EbifXRL5LMctQwqOqia6Q4sKgpsC0KhEkPXzqrMynVaGMej4gr0S2hWJ7iO7w4hY3DYEhC/z4Seb0EbmsxL4qusyJLnWiBaKq5y/fyPtcHtnx56yFskWpIPL9iMDboJ6d1RJvf/4N0/93g0EgSndEUjPVq9Pxn1ePvLrIJGth8ZLKiqtIf/36A3bsOyITFYvEXOJqhxi1oFD+z81XDYlI3vfPxLHYtvcw7j96Iv+xiB+2Fg3ryBNlTT9YMpmgyhCIYgSVgnlzywTQr96+k601xBU9Uaf1a1bJsDlXxI/9n7+OkYkQxXCr4qplgby50apJvXgjoYn8B2IfdtLQ/Sgp6zEUtatVkv8w9x4+Lg/wRTCyaOH8aNmonjKZtoK5ubmsW8XJhcK4kQNx9mLMAavIVyACIOJKTekSRVCzSgXDHAI6TkufuEQQSJWVpZVcXtN3uFPrpsiX20MetIpkriJhdNkSRdG0fi1eXaR0QbQIFKwt1ZPyC4pE/YplKGWI1q3iYsjzV29kUueGtavJq+x3Hz7Gzn1H5IUREZgWiXJl/YfGbqM4AyfE206xy1HKEC05f/l+qAzyi5GTxE0QxyeiJX3ckfPEMXfC36WYFrf8LiVMdBf6b/Eq2aL25++GfLHLnrjoKlqgNKpTPd6xjPJ37UvfGf62qRE5mURQR/Xcc8ywfmrdVgXR6lBYv3W3/N0SOSbFNnj9zktulwl/zsS038bKXE6K3yYRIFJMxz3GEoJ19PvFIBClO6JPsrhpSyQbTIg42BD/wNTjuoZN9GHt06WdVsv+8cvoBHMuiZshBtGGqLSQSGy/mzX1569ejyERVyETGhEjbt1pqlvRzFlcrRQ3+nxgn9h+GJfIjSJuCRFXK790xZIorVKMRCpaOMQVGRkzT3WUKkqJOjfBiP49MGXGXNy+91DeFESSVZFnRiSuVXRTUXQrVWyPeNspdttxO6UscdFk2botynQJoiVWTLd2L2zcvlcGLdq3aKzhuxQZb11RkTHzRHd40rwPz168CucuXcWwvt1QQov0CaK7vFCneuUk/a7FbFt+ZzQRQR9xzClaKIrBScRv0axFKzG0TzeZPkBBkSD62ctXmDJulLxoq2jNM2XGPNk6XXTVExfEFL9h4vsitkfcbvJRUbr9bjAIREREREQGzdbGRt6LrkdxBy8Q84RMmdjFKKWJxMHTfx+HA8dOyZExBZGYu0Gtqug1fKw8ycpsl0l5Yqa6PeJSbqfYbUkpY/ehYzhw9BSqVSyLAT06KfPn+QcE4p+5S2WOvpzZsylPjlW3U9xce77KbcTvUlwiL8/fc5fKFsvD+3bTaqhwUceXrt6U3fE05YzU+jsTuxx9TsytOgqbaBk0bfZizJi/DLP+94uyZb6ifhvVqaEMAAnif0jXdi1kIOjOg0fKIJBYXgSI/GO7uOrzu8FMjURERERk0LJldVdL3KlKJIQWVPMKUsoROTM6t22O8aMGy5s4Ybp176EchSe3R3blKGDZYutf5HLU1FrlybOXsiuGyBdHKefS1Zj8TN+0aa4W1BGDMrRr3lA+vnD188h52WMTSYvBF+JSfL/EcPP0mciv+fs/c3D5+k2MHNBTqwCQIHJHirw1IlefJorfLE2/a6Kr5YtXb2TQQXWwB9IcFBKpCUSd3bn/ucWiIlWGg338+nPInFmZ3yn+9tDw3YhNqK6r/zMMAhERERGRQRP52ISDx8/ILgAK4RERcpRMQRcjthgaMepgXCJvhsg/I9SqWlE5X5ysitYO3h98ceHKdbXXiBEKxYl08SIFOBphChOjwApiVNO4FKNJihySCiViv0v7j55Umy+THZ84Kx/zu/SZaFE14Y9/ce/BY3w7sBeqViij9bY5fPKM7D6UUFd3keJBMWrejdv31J4T3ftE4nXFbx9BJn/WRHThevbilXxsYvy5u1bp4jH/Ey5f/zyYjsLFazflvcgTpFCiaEz3PpFkPe77HjvjKR+XLKab7cHuYERERERk0IoVyi+7VIgDfZGjpnG9muLIH3sOHZdXy0XwQZu8ZJT0rkZ3HzxG5XKl4eLsKIeB333wmByZR2yP+rXUc0CKVkL/Llwhb2IkWLHMoyfPsWHHntjna3MTaEHs53JgD0AOfS08fv5SeRKcK0c2ZdLg4oUKyHxNoitM84Z15HdBBHdu33+EPQePxSyjkrtG5IYTrbHEdhXJdcU2FIHVHfsPy64wxQsXUBtNzJAFBH7Ez/+bIYM0LRrVhb2dHe7cf6S2jKNDZri5fA4kKNy8e1/mZapYtqTG4chVvzMLVqzHtDmL5SAOokXdvYePsWnnfuXzFOPfhcvFz74M7rg6O8PY2EgGnU+duyTrWyTYLla4QOzSQPHCBeV3RYyo/MesBTIYZ25mjmu37shAj0gCXbNyBeXyVcqXwerNO+RQ8GJ71BGti0LD5AjXomueSDytaVunBqNoEdoiIiIiIjLwE+MJf/4rhwdWJU6wfh87kt3BUoEI+CxZs0ljkv/x3w2JNyqmYuSkY6fPx3tNy8b10L1Dq9QoZobzy/9myC53CZk6/jtljhMxOtvv0/7DvUdPNC4rghDfDe6j1gJLjDA7cdps2aVPldiek34aBVdn9bxbhkoEfMZPnZ7oMiJI07tz/AFbRFBOjMT708iBKFuyWIKvFwE7kbvp7MUr8Z4TgdQOLT8n9TZ0/y5cgeOxLXLisrK0xMgBPeINgCFaw03430z4BQSqzRcBoG7tW8rfJVUimDRl+jzZtUyVCP5M/ulbnY2izCAQEREREVFscs69h47LvDPiID5vbg80qVtT5j+h1HH99j2c9ryEd14+MuAmugrVqFQepqYJj5IjTmjPXryKgIBAedJUvVI5lCmR8OiFpG7Rqg148vxlgtUysMc3ynwnipxLpz0v49rNO/Dx9RNnuHBzdkK50sVRPoFRIUWrn32HT8j3EQm+C+bLjcZ1azIpdJzA84KV6xPdPUXrkbitdUQ31SnT58p6/enbQV/sAimCp6fOX4Ln5esI/PhRdhOrWaWCVqOPGZrb9x/Kenr99j3CwsLkb3/+PLnkb0xC/wdEne47chL3Hz2V2yarmytqV6soX6fJ2/fe2H/kBJ69fC1/5wrly4NGdWvES6SemhgEIiIiIiIiIiIyAEwMTURERERERERkABgEIiIiIiIiIiIyAAwCEREREREREREZAAaBiIiIiIiIiIgMgKm+C0BElNF8/BSEY6c95cgCEZERcpSTYoXzJ3t9l6/fxrlLV796PWnxsxERERERke4wCERElILu3H+E9n1HwtvHVzlv8k/fflWg5PT5S5g8Y/5XryctfjYiIiIiItIdBoGIKMO6eecBTpy7gEplS6FMiSI6ec9f/vhXBkmKFy6ACmVKwMzMFMW/ECTRRzl19dmIiIiIiCjtYBCIiDKs85evY+K0ORg3coBOgisRERE4f+k6bDPZYMequbCytEiT5dTlZyMiIiIiorSDiaGJiFKIf+BHhIWHI1sWtwwXJMnIn42IiIiIyFCwJRCRgXvv5YNNu/bDzNQUPTu1kV18VL168w7b9x2Gubk5enZsBVNT0yQlMb778DEuX7stAwhFC+ZD+dLFE3ytSDZ88859vHzzDhbm5ihcIC9KFy8MIyOjL77P0+evZIsaXz9/NG9YG6c9L+PU+Yty2XOXr8Nk6Rrla+vVqIICeXNpVT9hYeHwvHIDj54+R1RUFHLlyIZK5UrFC4Ss2LANb9/7yMd+/gGYE/t+VpaW6PVNmwTXv2H73iSXU3zWs5euIjg4BPnz5ETVCmVgbGycaC6fa7fu4eOnT3BysJflz+LmotXnT8pn07autNl+Itik8CkoGJ6Xr+P5qzcwNTFB3tweKF+qGExMTBJMXn324lW8fP1W1kveXB6oVLbEF/ddIiIiIqKMjkfERAbO1cUJN27fx9Y9h/Ds5WtMGjtS+VxoWBj6jByPqzfvYOr4UVqdRCuSGE8cMxzzVqzDph371Z6vVLYkFk6fBBcnB+W8Zy9e4bsJf8rATXR0tNryxQrlx4J/JiJPzhwa3+f3H4dj8ZpNWLtl9+fXFC6A+cvX49a9h3L68Imz8qb8zM5OWgWBjp+5gFG//E8GwlQ5Ozlgyrhv0aJhHeW86fOW4807L/n47Xtv2b1LcLTPnGgQKCnljI6OwrgpM7B49Sa1dZQsWghr5k+TAR5VD588x4hxk3Hp2i21+SJ40q19C7mNzM3NvlgP2ny2pNSVNttPBIHEvjBn6VrMXLACAYEf1V4vAkyz//gZZUsWU5svAlSivIEfP6nNz57VHf9OGYcq5Ut/8fMSEREREWVUDAIREab9Nga37z/ColWbUK5kMbRqUk/WyvgpM2QAqF3zhokGMjSZt3ydbNlTvlRxFC6QRwYRTpy9iHOXrqH7kB+wa/U8ZUsOEXw6df4S8ufJhYL5csngh2gRcur8Zdy8+wBdB43G8e2r4rVSku+zbB1evX2PimVKoGD+PLC2skQ2d1d0aNkYh06cwclzl2TgqVTxwsrXaBMAunz9lnzf8IgIZHV3lesQQbDzl6/h2YvXGPDdBNkSpn7NKnL57h1aygDJ8vXb4ORoj/YtGsn51lZWib5PUso5b/l62bpFtK4Rz33w9cOBo6dx7dZd/PbXbBnkUBB12qLrIHzw85cBk3KliyGzrS3evvPCkdPnsWzdVtla588Jo79YF1/6bEmtK222nzDx7zmYu3StfCz2DZGEWjwvglsXrt7EzbsP1YJAU2fOx8wFK2WrtlpVKsAjR1ZERkTi+u17uHHnProMGo196xaiYL7cX/zMRESUMezYfwTXb92TFz9y5sim7+Kk+3rTVX0GBYfgn7lL4e7qjL5d2yf59bMWrYKdbSb06NhKJ+9niEQr7lWbdqBp/Vqy5T6lI9FERNHR0Q8eP4vOW75+dO6y9aLvPngcvW7rnmi3IlWja7XqHv0pKFjrOvp3wQr5OnET61B1+97D6IKVGsnntu45pJz/9MWraM/L1+OtKywsPLrroNFy+T2Hjif4Pjv3H9VYlkWrNsnnxbJJ1arHEPna7kPGRH/8FKScHxIaGj1kzET5XJUmndRe8+69t5xfp3WPJL3Xl8qp+KzZStSIPnzirNpzot7ci1aLzlW2bnRERIRyfp+R4+Rr5i9fH299opyVG3eMzlKsevSLV2+0KmNiny05dfWl7XfnwSP5ubIWrxG9auOO6KioKLXnnzx7GX3zzn3l9MMnz+TnEe/zXMNnWrJms3yvwT/8ptXnJSKijGHY2Eny9//U+Uv6LkqGqDdd1af3B99kHVMJew+fkK9dvXmnTt7PUIWHh0dXbNghul7bXtGRkZH6Lg4lAVsCEZGUL7cHZkz6CX2/HY/uQ8fIXEFiJKjFMybJ1hdJJVpidGzVWG2eyPEzrF83/P73HBw6fgatGteV83NmzypvL16/xZUbt+Hl7Yuw8DDZHUhcxRGu3byLxnVrxHufRnWqo1mDWim6FUXXIzESlqmpCf6aMBo21p9b84hcRaJr3IFjp/Ho6QvZKkXUnS60adoAdapXUpsnciyJVkH3Hj6Rra1EtydxNUu0EFK01FmwYoOym524F39Z3d3w+NlLXLhyQ75GX3WV0Pbbuf+oLKvYh7q0ax7v+Vwe2eItL1o25cudE3sPnfj8WWM/d2RUlMwPJFqiERGRfmzdfVB2ge7RqTVyfMX/nqSsU+SZy5/bQx5n0NdL6/UpRjOd9M9c5MyRFR1iWy5T6hCtvkcM6I5vx0/Fpp37Zet2Sh8YBCIiJXEy3rtzWyxZs1lOL5n5S7xcPNoqW6qo5vklY+Y/ffFKOc/XL0DmrhHBgoT4BQRqnF+yaMEU34IvXr2RAYU8OT1kzqS4RHCsSIG8MqDw7OUrnQWBxHtq4ursKINAIaFhyq5gIhG3uP3yx7+JrjOhetVVXSW0/R4/fSHva1Qqp1U5Hjx+Ju/3Hz0lbwnx/8rPS0REybfv6Cls33tYdg9OqSDQl9Yp5mvqjkzJk9brc+/hk/Ki07iRAzgghA60blIPE/6YhdlL1jAIlI4wCERESsEhoTh38apy+snzV8n/cUlg5CbFfNUE0IoAkGj1I3LDZHF3hZWFBYyMjWTSaPEPXQQaNLGztU21LZjYiFuKfEZRUeqJrFOTmVniSZyVrV4iIuW9av6ehIgR2/RZV1/afsYmCa9XVURkzGcWB6Zi9LCEWGiRCPv/7d0HdBTl1wbw+6l0aYGIKIiAIC0QIPQIgiAKomIFKSKhIyAdLCBVCEExVIk0AUWqSFVqKKHXICj86Z3QpYX6necms2d7dmdDifv8PHsSk53dd2Yn7Ox973uvEBERUYo0ecZc7Spbt3aNhz0Uv5A2TRqpXaOKNvhAJ9eypYo/7CGRBxgEIiKLbn2GaIFoBA5Wr9+shXZLFS8iFUKCvT5KKMbr7udGC3C0/166ap1kyZRRVs+bKoHZA2zuHzV5ugaBzHDSWd4jCEIBihojcyRzJttAxY34eNmz74B+78tSKl/H6UquZ3JoUObKlWvStU1TyZAhvdwv9+tYPZcrp37FUjP7zmJO7/9swv0RAPq666de7QMREdnC8uxJ0+boRAE+TGNCZtnq9bpUPLRcaQktX9pyXzSBWBmzUbtDYhlwoRfySpVKZfV7w82btyR8xI+y+5/9+v8/TZ8rS6JjLL//NKyBZMmcSb/HpA+yR/fuPyRnzp6XzBmflJDgog7dID19zKQKGXsyfsOvvy2SfQcOSfNG72tHzhVrN8quPXs16IBM55c8zF615un+OhsD9m9p9DrNBkbzDFyvhQQXS5ZtXEnqeF69ek2i123SDN34m7f0mqRaaHktuOzKX3/vk1XrN+s1Yb7ncknNai+JGafjzmqjjaAiBd1ec5h5PjP7haYUuJ7GMn3jeXCuOCtAbf0aBWTJoufknr37tdtpzw4tbCbb8Nqt27xdz5d0adNI8SIvykvlS7udkPN2GwR0sMzy7PkLlm61aPyB8dtDuQYEgbAkjEGglIFBICJS6Pw04/fFGvQZ2qe7dgV755N22tlpycxxkiPQ9ZucM4uXr5GVazfKy5XK2lxoRUZN1u/xxmm0occFEGrJZMqUUP/HgE5YoydOM/0KGTVx8IbnDbQ+Dy5WWI/BV4Mi5bt+PSzZLMi2+WbYWO3MhS5WuFj0ldlxuoILvEplS+qFUPsvBsqIQV/pG741HPO1G7eaumB9EMeqVvUq2ulryozf9RyyTz3HEsILly5ZliuiMwU6gUz4ebZUCy0nlSuUcXjMuLPn5czZc1K0UAGf9pmI6L/uxMnTMmLcVHnr9Ve0ftzQ0RMsGbnISkUQCP/GD46M0mUg6A5pDf/mjwzvrR8a4datW/p4hlnz/7S5f+MP39b3rsXLV0vP/t9qjTt7FcoEy7hhA/R9x5vHRMBj+txFUjW0nE3QwpvxG+b9uUJrGqJLZ/jwKNm5e6/N71+pXEEmDf/G42VI3uyv/RhwvTZw2A+69Mla7epVZMTgXjbv+2a2ccXV8QQEAXoNitTOpNbQtbNjqybSqXUTm5/fuXNH9x8BPGs5cwTK9wM+F2+t27xDX9fSxZ2XJDD7fN7uF+oSdesbIT/Pmu/0eXDeIsBqHQQyXiMEEwdFRmnQxtC1bZikTv2YXvt06vWN08lRBGmivu3n0AHV221wLjZp11M7z9orkC+PTB0TYZl4M+C8gphN25wcPXoUMQhERLItdo++uQVkzaJvBqlTp9JI/led2kjv8OEaCJo5/nuv1lZnzZxJPmrVRWpVryyFCuST02fO6uzRpctXtN133doJbehxcYM6MbggqfFeU6lZNVRTSw8eOSbz/1zhUxYLnhd+mbNAZy5yPJVds26qV66YZJv4Hu2bS/2WnfVCB7N8mBV8/LHHNHCC46X36dDC6YzIgxynK326tZM6DVvLgiUrZf2W7Xpc0b49Pv6mznYas0HHd0b7PP77caxKFC0k9d+prTNLjdp0k4plSkrxoi9qwOx/Bw/rRWjvrm0tQaDgYoV0VnLyjN/lg2Yd9QId9YZwHqK9/f5DRyRm03ZpF9aAQSAiIg+t2bBF6+2UCQ6SkJLFJCBzJimXGBj5fuxPMmzsT/p9pbKl9IPgpX+vyLLoGDl+6ox81LKL/DljnL7Hp06dWmu0zFm4VDOOEaDJnZgRDMgGNjInLly8JNWrVJS8uZ/VySF8KMWS8XWbtkvnXoNkQuQ3el9PH9MVb8ZvD4VwMYlVr24tbbSA9xg0KFi2ap1MnDbH4xbj3uyvva59hsj16/GavZ0rZw75Z/9BnYBbsDRaMvYfqs0+kmMbbwp0f9qjnzaKQDAMEz9p0qTRY/PH8tWatZU1Syb5pP47lm0iRk2wBGTQ+CKocAGJO3dBFi9bLa279fF6DJu3x+pXXC84Y+b5zOxX+IhxlgAQtgkqlPg8K5Lery5fh8uNG/FaX+f53M9Kqicel8cff0wz33CthUk3BCkxflwvIlNo9brN+jdQr0UnWfX7FK3HCGa26RsxUgNAgdkC5LVqofL0U4Ea/EJQCtd1cWfPOQSBsgdk1cfHtfy5Cxc1S44ebQwCEfk5/MOOjmCYBRsd3tuyTAtafvyhbNoeK/P/XCn9vxvj1TKbtmENJDpmo26LmwEBoCmjBtukWSPzKKzjl5oKjZsB9YEavv+mtOvZ39S+ITCAmaoVazbI2MnTLT830lrdQfZJ5MAv5PMB3+mbJG4GzJT17NAyyXo7D2KcrhR58QWZNWG41lvCG7f9bBSydapUdMyWMeN+HavwXl0lY4YMMv6XWTq7ZD3DhOBhfrui5ehEFpA1s/ww6VetbWVd3wpyBGZjAIiIyAvnzl/UpSgdWjR26AwZGTVFvx/weUcJa/Cu5Xf4gNmgVRfZuC1Who4aL6OHfK3LjtAddNc//9P3iHdr17AEk+wzUtCgwv5DJJ6v9ketNJsBQRJkVHj6mM54O357yF5ePmeSBGbLavlZaNlSGmTBNY+nQSBv9tfevbv3ZPnsiTbdMpGBjQ/9WFrUoXljyZsnl8/beAJLv3sNHq61HWdPGC7FCttm3OI6pFb9FjLsh0nSpF5dnRTCPo6ZlJDtjYzl9+rUtNy/R7vm8majNnr+eQMZ54AAhj0zz2dmv7A0HqUMANfV1rWJep5vIW83but2v5BdtGTeeJ24szZl5jwN5rz7xquaTWQ/Mduj31ANQE6bs0CaN/rAMrno7TbGEv6F08Y6FFpH4CvTk7ZZ+4bs2QI0eHryVByDQCkAg0BEfm7ztlht91msUAGnQQHMCmEmAi22sS4Y0X5PIJtn2thvZdW6zbJ1524NMuE5Xn25kl64WcNF2/pFv8rCpdFy6OgJLd6LGTnMzGFWoVWTehJitza+ZPGi+nPM4rgzZVS4LF+zQWJ375UrV6/J3Xt3PQ6sIHCB8aJmEVqc37t7V57L/Yxm6Fhf+BnSp0+nY8r5lOPFWlLcjTOpfUXNHCxxwkyUfXBp5W8/aRt4vAYI+OFCBuvkK4YEO+3m5UpS++btsfLk9cN50rdHe70fLlLRiSxdurSa/YPZrPTp0trcHxc3CDi1aPyhrIrZJPsPH9Ui2U/nCNSZXKT1G0vViIgoaZjdb9esocPPEWS/dv26BBUuaBNAAWQU9P/8M3n1/TBZvma91xMYt27d1joqqPVz8dJly1KtdOkSliqhTomzoIg3fB0/lv/Yv7fhwz6CQEeOn3wg+4vJNutgjjEpg06vyErCNUWYXUDHzDaeQP2YuHPndbkQsrhxu4f/EvtBYIkWMrMQJDh28rQGF/AaXL9+Q8qWDLIJyACuT7p9GiZtuvf1ahznLyQs18qa2TELzMzzmduvHdpoBdcc9sWpcQ3dpW2YtOrS2+U+fNqsoUMACPDcgGz9iJHjdRwJY0j4/ZVr1/Trlh1/SfNG5rdBptPf+w5ogMs+CJT/edeNNwISr0GRCUSPPgaBiPzcq1VD9ebKkxnSy5edWpt6bBSbw8WFdV0gd8+D1Fd7CIQ4y0AKLVdKb0nBh35f2pmi0DFmUDyBfTBblNjdOJPa10YfvOXyd5iVwtI+Xwv1ebJv3hwrT18/wMXQR+++IZ7CjCq7ghAR+a5QwfxOC8fiA68x2eAMJn2Q8Ysl4MisMZaaJAUfurFcBsuWXbl8+V/xla/jL5g/r9P3SWxzI/6mx+PwZX+xbNoZ1OlDQOfYyVPJso0nUDcKUDTZWGLndn+eeVqOnjjtfkxBhb0fSOKyc6sGtBZmns/MfhnnFgKMzhQv4vzn1ueeM8ZYsEzeHSxp9GWbrzq3kQNHjknD1l11Ehg1ipAB9VK5EIdMKGt3Ew96cjc7ofuDQSAiIiIiInIa2HAHWcLOIEMCN/C0Hhy6L6EgLbJWUSsPS8KzZ8uqgRU8wrI1GzSbw/iwmRzMjv8Jd1mlHo7P1/29d8/52O/euZMwbn0U37fxhFE0HAGD19xMLMJTiY1GjMPq6jW4c8f5z90xltVduHTZ4Xdmnu9h7NeT6Z3/zRnnI7reoYOcK8jC9mUblIVYPC1KtsXu1gYju/7eJ1GTZ0ifISM1i2p85ECnqwKMY856QCkDg0BEREREROSx53IlfGjEUmN80LQPlKCw7M1bt7R+m3UgybiXs7DGhq07NSCCpem//DDUIQNp846/nI7F3WMm9/iTk9n9NWDszjp8bo3drV/zWH2w92UbTxhNGtB8AnWavHkNEGxwBmP1Ftq2A5qRJMfzmdmv3IlFk51113L386TkfS6X1jxCptDbtarft20A52LpEsX0Zpg8fa4ud+wbMUrrQNo7E3dO/46sa4vSo8sxv5OIyAee1uohIiKilKlC6RK6RAq1Q9BlyxpqgvTs/51+j65X1oyAysnEAr7WUBvH+ABqH5SZu3iZLImOcToWd4+Z3ONPTmb31zBqws+WIr4G1FZEMWk8JhpOJMc2nigfUkKbWSBrBEECdKWyh+5Y1vuE1wCvHbqITvr1N5v7Hj1xSoaMHOf9OBILgzsLtJh5PlP7FRKshcNRZ2fqzHk290VAxsx+wVuvV9OvXw76Xnbt2efwewQz12/ZIYePHvdpG5x7yFJzFlCCPVbNPwyn485qJ1a0ms+S2bY+JT2amAlERMnKm1ovRERElPJkyJBeiyNjicigyCgNJJQMKqIdmFat36zdj9CIoHPrJg6FkAEdl9Zt2SGZEmvtYLlK6eCi2lESnTJrvNdUa9ndvn1bdu7ea2lxjQK89tw9pqsPpGbHn5zM7q8hfbp08toHzaTaS+UkZ46nZN+BQ7p8Bz7+8G2HNt5mt/G0GcjgXp0l7LMvNdA0a/4fUj4kWHJkzybnL12So8dOypadf0mZkkGW2od4DTo0byQDhv0g3ftGyMzf/9CaMyjEjGYQntaRsm80ghqLCMDYM/N8ZvYLgaa2TRto6/jOvQfL9LmL9BxFcBHPgwAROKu15U79um/I7AVLdYlgjfeb6r6+8HxubVePmlIIVB07cUp+HhMheXI/a3qbrl8P0eLkISWKalYTlqehVhTOU0DjFnvG8UZDF0oZGAQiIiIiIiKvtG5SX27fviPfjpmogQvcDPmfzy0jB/e2fLC07iSJLAx0HvrJKhujcWIA4rt+PaVb3wj9cIqb8WH5sxaN5fadOzJi3FSHcbh7THdZCWbGn5xQV8XM/hrCe3eVwZFRmsVjrV7dWtK3e/tk28ZTr79SWTudfjFwmBw8ckzmLlpm83u0bbdvfoFOWBcv/yujJ06TTdtj9WYsS4sc8IW81bitV2PA8r3qlSvIHyvWyKEjxx06oZl5PjP79VnLxtrp7cepM3XZH25GNk2f7u2kcdvulmCQp9AxderoIdInYqRMm71AAzu4GZBNVqFMsM0+m9nm7ddfkdkLlliCgwYE1/A7FI62t3DpKsvfIqUM/3fPqBhFRERERER+D8tWZs37Q7tg1azmviDuhYuXZc2GLboNWlFjSQiKHONDo6tlULj//kNHtJU2Cil/XK+uZt4A6uSs3bBVTp6OkyyZM0poudLaJTJm0zbZsn2X1KhaSQq9kM/jx8RSnb/37teukbnsWl57O3500Dp05JjUe+cNhxbxgGyR1KlSSbOG73t8Dnm7vw3bdJOl0TGydOYEKVwwn6zduFX27j8kqVKl0uVQGL89M9u4Om5JHU8UU0YmE1reX7l6TQKzB0ieXM9IyaDCLs8JLEdas2GrXL12XQMSL1csq4WVf5w8XbJnD5D6dWt7fDwxvkZtukmXtk2lS5umyfZ8Zvbr4OFjeqyv37ghefPklioVysjCZdHSsnNvDZgM/+ZLj88ta8gqQiv6E6dOyxNPPKFZY8UKF3TaWt7MNvgbwrl3+NgJuR4fL08HZtfi2DlzBDrc99r1GxJUuY7WT1oyc7zbcdOjg0EgIiIiIiKiFMA6oOOuZbev26RUCNZgeR26Va1f9KsG9h60G/HxErt7ry4Ts4alV+82bS+Hj56QEYO+kvfq1JSUbuK0OdKj31AZ+21febNmQg0ievRxORgRERERERGleFhO16tLW/mweUeZOmuefFL/nQc+BnQTq9OwtRQpmF+KFiqgGWlHj5+U6JhNEn/zphTI97zUqVlVUjoUyh4eNVmzhBgASlkYBCIiIiIiIqL/hCoVy0h47y5a2PlhSJs2jZQtGSQbt8XKbrtuWgiYjInoI2lSp5aU7uSZOGlSr+597aJH9weXgxEREREREaUA3tSO8WUb8h2KlaOl+um4c1oIunjRF6V4kRd5aOmhYxCIiIiIiIiIiMgPPPawB0BERERERERERPcfg0BERERERERERH6AQSAiIiIiIiIiIj/AIBARERERERERkR9gEIiIiIiIiIiIyA8wCERERERERERE5AcYBCIiIiIiIiIi8gMMAhERERERERER+QEGgYiIiIiIiIiI/ACDQEREREREREREfoBBICIiIiIiIiIiP8AgEBERERERERGRH2AQiIiIiIiIiIjIDzAIRERERERERETkBxgEIiIiIiIiIiLyAwwCERERERERERH5AQaBiIiIiIiIiIj8AINARERERERERER+gEEgIiIiIiIiIiI/wCAQEREREREREZEfYBCIiIiIiIiIiMgPMAhERERERERERCT/ff8P8vNEo8LUl1wAAAAASUVORK5CYII=",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "A moved molecule: energy stays, forces turn"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Energy before to after the move:** 0.285 to 0.285\n",
       "- **Largest gap: new force vs turned old force:** 0\n",
       "- **Angle between them on atom 1 (degrees):** 0\n",
       "- **Total force on the molecule:** (0, 0, 0)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The energy is 0.285 before and after the move, and each recomputed force matches the old force turned with the molecule (gap 0). The forces add up to (0, 0, 0): the molecule has no net push."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Atom 1 force before: (-0.641, -0.472, -0.588). Turning it by 60 degrees about z gives (0.0881, -0.791, -0.588); the force recomputed from the moved positions is (0.0881, -0.791, -0.588). Energy sums 1/2 x 2 x (distance - 1.2)^2 over the 6 atom pairs: 0.285 before, 0.285 after."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = molecule_picture(**{'angle': 60, 'energy_kind': 'distances'})\n",
    "buffer = io.BytesIO()\n",
    "figure.savefig(buffer, format='png', dpi=140, bbox_inches='tight', pad_inches=0.16)\n",
    "display(Image(data=buffer.getvalue(), alt='A moved molecule: energy stays, forces turn'))\n",
    "plt.close(figure)\n",
    "display(Markdown('\\n'.join('- **' + str(k) + ':** ' + str(display_value(v)) for k, v in values.items())))\n",
    "display(Markdown(clean_display_text(explanation['summary'] if isinstance(explanation, dict) else explanation)))\n",
    "if isinstance(explanation, dict) and explanation.get('calculation'):\n",
    "    display(Markdown(clean_display_text(explanation['calculation'])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a992768",
   "metadata": {},
   "source": [
    "**What happens:** At Rotation applied (degrees) = 60, Energy built from = raw coordinates: All three break. The energy changes from -1.16 to 1.61, the recomputed forces no longer match the turned old forces (on the left the gold and terracotta arrows part by the angle shown), and the total force is (-1.2, 0, 0) instead of zero.\n",
    "\n",
    "**Takeaway:** An energy built from distances is unchanged by a rigid move, so its forces turn with the molecule and add to zero; raw coordinates break all three.\n",
    "\n",
    "**Use the idea:** Molecular models predict one energy and get forces by differentiating it. If the energy is invariant, the forces turn correctly and conserve momentum with no extra training.\n",
    "\n",
    "**Where it applies:** Four atoms and a toy spring energy stand in for the learned energy network; forces are the exact derivative, what automatic differentiation would return. The rigid move is a rotation about the z axis through the origin, then a shift by (2.4, -1.6, 0.8). The plot is the x-y view from above; the molecule is 3D and z enters every calculation. The \"raw coordinates\" option adds 0.3 times the sum of x-coordinates, which is not invariant.\n",
    "\n",
    "**Check your understanding:** Atom 1 feels the force (0.4, 0, 0) and the molecule is turned by 90 degrees about z. What force does atom 1 feel afterwards?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "The force turns with the molecule, so it becomes (0, 0.4, 0). Its size, 0.4, is unchanged.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 5, Worked Example: SE(3)-Equivariant Molecular Property Prediction (energy output and forces). Book equation with companion toy inputs stated in the assumptions; every plotted value is recomputed. No random numbers are used.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55eab544",
   "metadata": {},
   "source": [
    "## Bring it to your own question\n",
    "\n",
    "Identify the input space, transformation group, output type and desired transformation law. Return explicit matched inputs, expected scalar invariance or vector equivariance, and numerical discrepancy measures when outputs are available. Treat semantic invariance as a hypothesis to audit.\n",
    "\n",
    "Use the `mathllms-ch05-symmetry` skill to choose a relevant equation, work with your inputs, and interpret the result. The skill should explain the assumptions and distinguish an illustration from evidence about your particular situation."
   ]
  }
 ],
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   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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   "chapter": 5,
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   "execution": "All cells executed with an in-process Python kernel; rich outputs captured explicitly.",
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   "source": "review-sweep/epub-fixed/EPUB/text/ch007.xhtml",
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