{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9ab0eb95",
   "metadata": {},
   "source": [
    "# Convolutional and Multiscale Models\n",
    "\n",
    "*The Mathematics of Large Language Models · Chapter 6*\n",
    "\n",
    "Inspect filter conventions, aliases, localized changes, residual maps, and the cost of scale.\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",
    "Request sampling interval and units, raw data, boundary convention, frequency range, and whether filtering preceded sampling. Return raw and filtered views, appropriate frequency or wavelet calculations, and stated edge, lag and aliasing limitations. Use residual dynamics only for a specified numeric map."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6dc745e3",
   "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": "c978ae61",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:58.024835Z",
     "iopub.status.busy": "2026-10-03T01:40:58.024769Z",
     "iopub.status.idle": "2026-10-03T01:40:58.101772Z",
     "shell.execute_reply": "2026-10-03T01:40:58.101674Z"
    },
    "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",
    "\"\"\"Chapter 6: filters, aliasing, wavelets, residual maps, uncertainty, Haar pyramids, scattering stability and compute scaling.\"\"\"\n",
    "import math\n",
    "from functools import lru_cache\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "NAVY, TEAL, GOLD, TERRA, GREY = ('#334c72', '#136f75', '#b77518', '#aa4e37', '#8a8a8a')\n",
    "BOOK_PROVENANCE = 'Book principle with companion toy inputs stated in the assumptions; every plotted value is recomputed.'\n",
    "\n",
    "def panels():\n",
    "    fig, axes = plt.subplots(1, 2, figsize=(8, 4.2), layout='constrained')\n",
    "    for ax in axes:\n",
    "        ax.grid(alpha=0.15)\n",
    "        ax.tick_params(labelsize=10)\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 num(value, digits=3):\n",
    "    \"\"\"Plain number: thousands separators for large values, no exponent notation.\"\"\"\n",
    "    value = float(value)\n",
    "    if abs(value) >= 1000:\n",
    "        return f'{value:,.0f}'\n",
    "    return sig(value, digits)\n",
    "\n",
    "def plural(n, word):\n",
    "    return f'{n} {word}' if n == 1 else f'{n} {word}s'\n",
    "\n",
    "def plain_ticks(ax, axis, ticks):\n",
    "    getattr(ax, f'set_{axis}ticks')(ticks)\n",
    "    getattr(ax, f'set_{axis}ticklabels')([f'{t:g}' for t in ticks])\n",
    "    getattr(ax, f'{axis}axis').set_minor_formatter(plt.NullFormatter())\n",
    "\n",
    "def circular_filter(f, k):\n",
    "    f = np.asarray(f, dtype=float)\n",
    "    k = np.asarray(k, dtype=float)\n",
    "    n = len(f)\n",
    "    return np.array([sum((f[j] * k[(i - j) % n] for j in range(n))) for i in range(n)])\n",
    "KERNELS = {'smooth': [0.25, 0.5, 0.25], 'difference': [1, -1, 0]}\n",
    "\n",
    "def kernel_response(kind, freq):\n",
    "    k = np.zeros(8)\n",
    "    k[:3] = KERNELS[kind]\n",
    "    return np.exp(-2j * np.pi * np.outer(freq, np.arange(8))) @ k\n",
    "\n",
    "def filter_values(filter='smooth', position=2):\n",
    "    f = np.array([0.0, 1.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0])\n",
    "    k = np.zeros(8)\n",
    "    k[:3] = KERNELS[filter]\n",
    "    y = circular_filter(f, k)\n",
    "    terms = np.array([f[j] * k[(position - j) % 8] for j in range(8)])\n",
    "    freq = np.linspace(0, 0.5, 251)\n",
    "    return (f, k, y, terms, freq, kernel_response(filter, freq))\n",
    "\n",
    "def filters_picture(filter='smooth', position=2):\n",
    "    f, k, y, terms, freq, response = filter_values(filter, position)\n",
    "    fig, ax = panels()\n",
    "    idx = np.arange(8)\n",
    "    ax[0].plot(idx, f, 'o-', color=NAVY, lw=2, label='input')\n",
    "    ax[0].plot(idx, y, 's', linestyle='dashed', color=TEAL, lw=2, label='output')\n",
    "    for j in np.nonzero(terms)[0]:\n",
    "        ax[0].plot([j], [f[j]], 'o', ms=13, mfc='none', mec=GOLD, mew=2)\n",
    "    ax[0].plot([position], [y[position]], 'o', ms=14, mfc='none', mec=TERRA, mew=2.5)\n",
    "    ax[0].annotate(f'output at n={position}', xy=(position, y[position]), xytext=(position + 0.6, y[position] - 1.9 if y[position] > 0 else y[position] + 1.2), fontsize=10, color=TERRA, arrowprops=dict(arrowstyle='->', color=TERRA))\n",
    "    ax[0].legend(loc='upper right', fontsize=9)\n",
    "    ax[0].set(xlabel='sample position (n)', ylabel='value', ylim=(-2.2, 3.8))\n",
    "    names = {'smooth': 'smoothing kernel', 'difference': 'difference kernel'}\n",
    "    styles = {'smooth': (TEAL, 'solid'), 'difference': (TERRA, 'dashed')}\n",
    "    for kind in ('smooth', 'difference'):\n",
    "        gain = abs(kernel_response(kind, freq))\n",
    "        colour, style = styles[kind]\n",
    "        chosen = kind == filter\n",
    "        ax[1].plot(freq, gain, linestyle=style, color=colour, lw=3 if chosen else 1.6, alpha=1 if chosen else 0.6, label=names[kind])\n",
    "        ax[1].plot([0], [gain[0]], 'o', ms=9 if chosen else 6, color=colour)\n",
    "    ax[1].annotate('constant input\\nkept whole', xy=(0, 1), xytext=(0.05, 1.45), fontsize=10, color=TEAL, arrowprops=dict(arrowstyle='->', color=TEAL))\n",
    "    ax[1].annotate('constant input\\nremoved', xy=(0, 0), xytext=(0.1, -0.45), fontsize=10, color=TERRA, arrowprops=dict(arrowstyle='->', color=TERRA))\n",
    "    ax[1].legend(loc='upper center', fontsize=9, ncol=2)\n",
    "    ax[1].set(xlabel='frequency (cycles per sample)', ylabel='gain (output size / input size)', ylim=(-0.75, 2.7))\n",
    "    residual = float(np.max(abs(np.fft.fft(y) - np.fft.fft(f) * np.fft.fft(k))))\n",
    "    dc = abs(response[0])\n",
    "    metrics = {'Output at the selected sample': sig(y[position]), 'Gain for a constant input': sig(dc), 'Gain at the fastest wiggle': sig(abs(response[-1])), 'Transform product versus direct sum, largest gap': sig(residual)}\n",
    "    word = 'keeps its level' if filter == 'smooth' else 'cancels it'\n",
    "    summary = f'The {names[filter]} turns the input into the dashed output; the circled gold inputs are the ones that feed output {position}. For a constant input the {names[filter]} {word}: its gain at zero frequency is {sig(dc)}.'\n",
    "    nonzero = [f'{f[j]:g} x {k[(position - j) % 8]:g}' for j in range(8) if terms[j] != 0]\n",
    "    calc = f'Output n = sum over j of f[j] x k[(n - j) mod 8]. At n={position}: ' + (' + '.join(nonzero) or '0') + f' = {sig(y[position])}. Gain at zero frequency is the sum of the kernel entries: {sig(sum(k))}. Index 0 is the kernel origin and the sum wraps around after 8 samples.' + (' The smoothing kernel (1/4, 1/2, 1/4) delays the output by one sample.' if filter == 'smooth' else '')\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "\n",
    "def alias_values(frequency=0.8, rate=1):\n",
    "    n = np.arange(12)\n",
    "    t = n / rate\n",
    "    alias = frequency - round(frequency / rate) * rate\n",
    "    raw = np.sin(2 * np.pi * frequency * t)\n",
    "    aliased = np.sin(2 * np.pi * alias * t)\n",
    "    retained = frequency < rate / 2\n",
    "    filtered = raw.copy() if retained else np.zeros_like(raw)\n",
    "    return (t, raw, alias, aliased, filtered, retained)\n",
    "\n",
    "def apparent_frequency(f, rate):\n",
    "    f = np.asarray(f, dtype=float)\n",
    "    return abs(f - np.round(f / rate) * rate)\n",
    "\n",
    "def alias_picture(frequency=0.8, rate=1):\n",
    "    t, raw, alias, aliased, filtered, retained = alias_values(frequency, rate)\n",
    "    fig, ax = panels()\n",
    "    fine = np.linspace(0, t[-1], 1501)\n",
    "    ax[0].plot(fine, np.sin(2 * np.pi * alias * fine), linestyle='dashed', color=TERRA, lw=2.6, label='alias tone')\n",
    "    ax[0].plot(fine, np.sin(2 * np.pi * frequency * fine), '-', color=NAVY, lw=1.6, label='true tone')\n",
    "    ax[0].plot(t, raw, 'o', color=GOLD, ms=7, mec=NAVY, label='samples', zorder=5)\n",
    "    ax[0].legend(loc='upper center', fontsize=9, ncol=3)\n",
    "    ax[0].set(xlabel='time (seconds)', ylabel='amplitude', ylim=(-1.15, 1.75))\n",
    "    grid = np.linspace(0, 2, 801)\n",
    "    for r, colour, style in [(1, TEAL, 'solid'), (2, GOLD, 'dashed')]:\n",
    "        ax[1].plot(grid, apparent_frequency(grid, r), linestyle=style, color=colour, lw=3 if r == rate else 1.5, alpha=1 if r == rate else 0.6, label=f'sampled at {r} Hz')\n",
    "    ax[1].axvline(rate / 2, linestyle='dotted', color=GREY)\n",
    "    ax[1].text(rate / 2 + 0.03, 1.12, 'half the\\nsampling rate', fontsize=9, color=GREY, va='top')\n",
    "    ax[1].plot([frequency], [abs(alias)], 'o', ms=13, mfc='none', mec=TERRA, mew=2.5)\n",
    "    ax[1].legend(loc='lower right', fontsize=9)\n",
    "    ax[1].set(xlabel='true frequency (Hz)', ylabel='frequency the samples show (Hz)', ylim=(-0.03, 1.2), xlim=(0, 2))\n",
    "    gap = float(np.max(abs(raw - aliased)))\n",
    "    aliased_yes = frequency > rate / 2\n",
    "    metrics = {'Alias frequency (signed, Hz)': sig(alias), 'Half the sampling rate (Hz)': sig(rate / 2), 'Largest gap between the two sample sets': sig(gap), 'Ideal low-pass filter first': 'keeps the tone' if retained else 'removes the tone'}\n",
    "    silent = float(np.max(abs(raw))) < 1e-09\n",
    "    rate_words = plural(rate, 'sample') + ' per second' if float(rate).is_integer() else f'{rate:g} samples per second'\n",
    "    if silent and frequency != rate / 2:\n",
    "        summary = f'Sampled at {rate_words}, every sample of the {frequency:g} Hz tone lands on a zero crossing, so the samples are all zero and look like silence. A tone that is a whole multiple of half the sampling rate cannot be seen at all.'\n",
    "    elif aliased_yes:\n",
    "        summary = f'Sampled at {rate_words}, the {frequency:g} Hz tone gives exactly the samples of a {sig(alias)} Hz tone, so the samples cannot tell them apart. Any tone above half the sampling rate folds back below it.'\n",
    "    elif frequency == rate / 2:\n",
    "        summary = 'This tone sits exactly at half the sampling rate: with phase zero every sample lands on a zero crossing, so the samples cannot tell it from silence.'\n",
    "    else:\n",
    "        summary = f'The {frequency:g} Hz tone is below half the sampling rate ({sig(rate / 2)} Hz), so it is its own alias and the samples identify it. Raise the frequency past the dotted line to see it fold back.'\n",
    "    sign_note = 'A negative alias means the samples look like a sign-flipped lower tone, so the dashed curve is upside down relative to a positive sine.' if alias < 0 else 'This alias is not negative, so no sign flip appears.'\n",
    "    calc = f\"alias = f - round(f / fs) x fs = {frequency:g} - {round(frequency / rate)} x {rate:g} = {sig(alias)} Hz. At time n/fs the two sines differ by a whole number of turns, so their samples agree (largest gap {sig(gap)}). {sign_note} An ideal low-pass filter placed before sampling would {('keep' if retained else 'remove')} this tone.\"\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "\n",
    "def dog(z):\n",
    "    z = np.asarray(z, dtype=float)\n",
    "    return (1 - z ** 2) * np.exp(-z ** 2 / 2)\n",
    "\n",
    "def _signal(x):\n",
    "    return np.exp(-(x - 1) ** 2 / (2 * 0.15 ** 2)) + 0.25 * np.exp(-x * x / 8) * np.sin(2 * np.pi * 0.5 * x)\n",
    "\n",
    "def wavelet_values(scale=0.3, location=1):\n",
    "    x = np.linspace(-4, 4, 4001)\n",
    "    f = _signal(x)\n",
    "    wave = dog((x - location) / scale) / math.sqrt(abs(scale))\n",
    "    coefficient = float(np.trapezoid(f * wave, x))\n",
    "    positions = np.linspace(-2.5, 2.5, 121)\n",
    "    coefficients = np.array([np.trapezoid(f * dog((x - b) / scale) / math.sqrt(scale), x) for b in positions])\n",
    "    return (x, f, wave, coefficient, positions, coefficients)\n",
    "SCALES = [0.15, 0.3, 0.6]\n",
    "\n",
    "def wavelets_picture(scale=0.3, location=1):\n",
    "    x, f, w, c, b, coeff = wavelet_values(scale, location)\n",
    "    fig, ax = panels()\n",
    "    ax[0].plot(x, f, '-', color=NAVY, lw=2, label='signal')\n",
    "    ax[0].plot(x, w, linestyle='dashed', color=TEAL, lw=2, label='wavelet')\n",
    "    ax[0].fill_between(x, 0, f * w, color=GOLD, alpha=0.45, label='product')\n",
    "    ax[0].legend(loc='upper center', fontsize=8, ncol=3, columnspacing=0.8, handlelength=1.4)\n",
    "    ax[0].set(xlabel='time (x)', ylabel='value', xlim=(-2.5, 2.5), ylim=(-1.9, 3.5))\n",
    "    styles = {0.15: 'dotted', 0.3: 'solid', 0.6: 'dashed'}\n",
    "    colours = {0.15: TERRA, 0.3: TEAL, 0.6: NAVY}\n",
    "    for a in SCALES:\n",
    "        curve = wavelet_values(a, 1)[5]\n",
    "        chosen = a == scale\n",
    "        ax[1].plot(b, curve, linestyle=styles[a], color=colours[a], lw=3 if chosen else 1.5, alpha=1 if chosen else 0.65, label=f'a={a:g}')\n",
    "    ax[1].axvline(1, linestyle='dotted', color=GREY)\n",
    "    ax[1].plot([location], [c], 'o', ms=13, mfc='none', mec=GOLD, mew=2.5)\n",
    "    ax[1].legend(loc='upper left', fontsize=8.5, ncol=3, columnspacing=0.8, handlelength=1.6, title='wavelet scale', title_fontsize=8.5)\n",
    "    top = max((abs(wavelet_values(a, 1)[5]).max() for a in SCALES))\n",
    "    ax[1].set(xlabel='wavelet location (b)', ylabel='overlap with the signal', ylim=(-0.7 * top, 1.45 * top))\n",
    "    ax[1].text(1.06, -0.62 * top, 'event', fontsize=9, color=GREY)\n",
    "    peak_at = float(b[np.argmax(abs(coeff))])\n",
    "    metrics = {'Overlap at the chosen spot': sig(c), 'Strongest overlap for this scale at b': sig(peak_at), 'Peak overlap size': sig(abs(coeff).max()), 'Area of the wavelet (exact)': '0'}\n",
    "    summary = f'At scale a={scale:g} the wavelet centered at b={location:g} overlaps the signal by {sig(c)}; the gold area is that overlap. The overlap is strongest near b={sig(peak_at)}, so a wavelet can say where the short event happened.'\n",
    "    calc = f'Overlap = integral of f(x) x psi((x - b) / a) / sqrt(a) dx, summed on a 4001-point grid over [-4, 4]. With a={scale:g} and b={location:g} this gives {sig(c)}. At the wavelet center psi(0) / sqrt(a) = 1 / sqrt({scale:g}) = {sig(1 / math.sqrt(scale))}. The wavelet (1 - z^2) exp(-z^2 / 2) has total area exactly 0, so a constant signal gives zero overlap.'\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "\n",
    "def residual_values(strength=0.5, steps=4):\n",
    "    delta = 1 / steps\n",
    "    generator = np.diag([-strength, strength])\n",
    "    jac = np.eye(2) + delta * generator\n",
    "    point = np.array([1.0, 1.0])\n",
    "    path = [point.copy()]\n",
    "    for _ in range(steps):\n",
    "        point = jac @ point\n",
    "        path.append(point.copy())\n",
    "    return (jac, np.array(path), np.exp(np.array([-strength, strength])))\n",
    "\n",
    "def residual_picture(strength=1, steps=4):\n",
    "    jac, path, exact = residual_values(strength, steps)\n",
    "    fig, ax = panels()\n",
    "    t = np.arange(steps + 1) / steps\n",
    "    fine = np.linspace(0, 1, 201)\n",
    "    ax[0].plot(fine, np.exp(-strength * fine), linestyle='dashed', color=NAVY, lw=2, label='decay, exact')\n",
    "    ax[0].plot(fine, np.exp(strength * fine), linestyle='dotted', color=GOLD, lw=2.4, label='growth, exact')\n",
    "    ax[0].plot(t, path[:, 0], 'o-', color=TEAL, lw=1.8, label='decay, blocks')\n",
    "    ax[0].plot(t, path[:, 1], 's-', color=TERRA, lw=1.8, label='growth, blocks')\n",
    "    top = max(2.0, math.exp(strength))\n",
    "    ax[0].legend(loc='upper left', fontsize=8.5, ncol=2)\n",
    "    ax[0].set(xlabel='time (total time is one)', ylabel='coordinate value', ylim=(min(-0.1, path[:, 0].min() - 0.1), 1.5 * top))\n",
    "    counts = np.arange(1, 33)\n",
    "    values = (1 - strength / counts) ** counts\n",
    "    ax[1].axhline(0, color=GREY, lw=1)\n",
    "    ax[1].plot(counts, np.full_like(counts, math.exp(-strength), dtype=float), '-', color=GOLD, lw=5, alpha=0.5, label='exact flow')\n",
    "    ax[1].plot(counts, values, 'o-', color=TEAL, ms=4, lw=1.6, label='N residual blocks')\n",
    "    ax[1].plot([steps], [(1 - strength / steps) ** steps], 'o', ms=13, mfc='none', mec=TERRA, mew=2.5)\n",
    "    block = 1 - strength / steps\n",
    "    if abs(block) < 1e-12:\n",
    "        ax[1].annotate('one block\\nerases it', xy=(steps, 0), xytext=(steps + 4, -0.32), fontsize=10, color=TERRA, arrowprops=dict(arrowstyle='->', color=TERRA))\n",
    "    ax[1].legend(loc='upper right', fontsize=9)\n",
    "    ax[1].set(xlabel='number of blocks (N)', ylabel='decaying coordinate at time 1', ylim=(min(-0.4, values.min() - 0.1), 1.35))\n",
    "    metrics = {'Slope of one block (first coordinate)': sig(block), 'Decaying coordinate after N blocks': sig(path[-1, 0]), 'Exact flow value': sig(exact[0]), 'Gap between blocks and flow': sig(abs(path[-1, 0] - exact[0]))}\n",
    "    if abs(block) < 1e-12:\n",
    "        summary = 'With one block and strength 1 the skip path (+1) and the correction (-1) cancel exactly, so the decaying coordinate is erased in a single step even though the block has an identity branch.'\n",
    "    else:\n",
    "        gap = abs(path[-1, 0] - exact[0])\n",
    "        closing = 'The correction has strength 0, so nothing changes and the blocks match the flow exactly.' if gap < 1e-12 else 'More, smaller blocks (right panel) close the gap; the identity branch alone never guarantees information survives.'\n",
    "        summary = f\"{plural(steps, 'block')} of size 1/{steps} give {sig(path[-1, 0])} for the decaying coordinate, against {sig(exact[0])} for the smooth flow. \" + closing\n",
    "    calc = f\"One block multiplies the first coordinate by 1 - alpha / N = 1 - {strength:g} / {steps} = {sig(block)}. After {plural(steps, 'block')}, starting from 1: ({sig(block)})^{steps} = {sig(path[-1, 0])}. The exact flow gives exp(-{strength:g}) = {sig(exact[0])}. The growing coordinate uses 1 + alpha / N the same way. This is the Euler method for the pair of equations dx/dt = -alpha x and dx/dt = +alpha x.\"\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "WINDOWS = ['gaussian', 'hann', 'triangle']\n",
    "WINDOW_NAMES = {'gaussian': 'Gaussian bell', 'hann': 'Hann bump', 'triangle': 'triangle'}\n",
    "BOUND = 1 / (4 * math.pi)\n",
    "\n",
    "def window_shape(kind, x, width):\n",
    "    x = np.asarray(x, dtype=float)\n",
    "    if kind == 'gaussian':\n",
    "        return np.exp(-x ** 2 / (2 * width ** 2))\n",
    "    if kind == 'hann':\n",
    "        return np.where(abs(x) < width, 0.5 * (1 + np.cos(np.pi * x / width)), 0.0)\n",
    "    return np.where(abs(x) < width, 1 - abs(x) / width, 0.0)\n",
    "\n",
    "def window_slope_sq(kind, x, width):\n",
    "    \"\"\"Squared derivative of the window, written out exactly (including the kink value at 0).\"\"\"\n",
    "    x = np.asarray(x, dtype=float)\n",
    "    if kind == 'gaussian':\n",
    "        return (x / width ** 2 * np.exp(-x ** 2 / (2 * width ** 2))) ** 2\n",
    "    if kind == 'hann':\n",
    "        return np.where(abs(x) < width, (0.5 * np.pi / width * np.sin(np.pi * x / width)) ** 2, 0.0)\n",
    "    return np.where(abs(x) < width, 1 / width ** 2, 0.0)\n",
    "\n",
    "@lru_cache(maxsize=None)\n",
    "def spreads(kind, width):\n",
    "    \"\"\"Spread in position and in frequency (standard deviations of the energy density).\"\"\"\n",
    "    dx = 0.005\n",
    "    x = np.arange(-30, 30 + dx / 2, dx)\n",
    "    f = window_shape(kind, x, width)\n",
    "    energy = float(np.trapezoid(f ** 2, x))\n",
    "    delta_x = math.sqrt(float(np.trapezoid(x ** 2 * f ** 2, x)) / energy)\n",
    "    delta_xi = math.sqrt(float(np.trapezoid(window_slope_sq(kind, x, width), x)) / (4 * math.pi ** 2) / energy)\n",
    "    return (delta_x, delta_xi)\n",
    "WIDTHS = [0.25, 0.5, 0.75, 1, 1.5, 2, 3, 4]\n",
    "\n",
    "def uncertainty_picture(window='hann', width=2):\n",
    "    dxs, dxi = spreads(window, width)\n",
    "    fig, ax = panels()\n",
    "    x = np.linspace(-6, 6, 1601)\n",
    "    f2 = window_shape(window, x, width) ** 2\n",
    "    ax[0].fill_between(x, 0, f2, color=TEAL, alpha=0.25)\n",
    "    ax[0].plot(x, f2, color=TEAL, lw=2, label='window in position')\n",
    "    dxg = 0.005\n",
    "    xs = np.arange(-30, 30 + dxg / 2, dxg)\n",
    "    spectrum = abs(np.fft.fftshift(np.fft.fft(np.fft.ifftshift(window_shape(window, xs, width))) * dxg)) ** 2\n",
    "    xi = np.fft.fftshift(np.fft.fftfreq(len(xs), dxg))\n",
    "    spectrum = spectrum / spectrum.max()\n",
    "    keep = abs(xi) <= 6.05\n",
    "    xi, spectrum = (xi[keep][::2], spectrum[keep][::2])\n",
    "    ax[0].plot(xi, spectrum, color=NAVY, lw=2, linestyle='dashed', label='its spectrum in frequency')\n",
    "    for spread, colour, y, name in [(dxs, TEAL, -0.1, 'position spread'), (dxi, NAVY, -0.22, 'frequency spread')]:\n",
    "        ax[0].plot([-spread, spread], [y, y], color=colour, lw=5, solid_capstyle='butt', label=f'{name} {sig(spread)}')\n",
    "        for edge in (-spread, spread):\n",
    "            ax[0].plot([edge, edge], [y - 0.05, y + 0.05], color=colour, lw=2)\n",
    "    ax[0].axhline(0, color=GREY, lw=0.8)\n",
    "    ax[0].legend(loc='upper right', fontsize=8.5)\n",
    "    ax[0].set(xlabel='position (x), or frequency (cycles per unit)', ylabel='energy (peak = 1)', xlim=(-6, 6), ylim=(-0.32, 1.55), yticks=[0, 0.5, 1], title='Window and spectrum')\n",
    "    product = dxs * dxi\n",
    "    ax[1].axhline(BOUND, color=GREY, lw=2, linestyle='dashed')\n",
    "    ax[1].text(4.1, BOUND - 0.0006, 'limit 1 / (4 pi) = 0.0796', ha='right', va='top', fontsize=9, color=GREY)\n",
    "    styles = {'gaussian': (TEAL, 'solid', 'o'), 'hann': (NAVY, 'dashed', 's'), 'triangle': (GOLD, 'dotted', '^')}\n",
    "    for kind in WINDOWS:\n",
    "        colour, style, marker = styles[kind]\n",
    "        vals = [spreads(kind, w)[0] * spreads(kind, w)[1] for w in WIDTHS]\n",
    "        chosen = kind == window\n",
    "        ax[1].plot(WIDTHS, vals, linestyle=style, marker=marker, ms=5, color=colour, lw=3 if chosen else 1.6, alpha=1 if chosen else 0.75, label=WINDOW_NAMES[kind])\n",
    "    ax[1].plot([width], [product], 'o', ms=15, mfc='none', mec=TERRA, mew=2.5)\n",
    "    ax[1].legend(loc='upper left', fontsize=9, ncol=1)\n",
    "    ax[1].set(xlabel='window width (w)', ylabel='position spread x frequency spread', xlim=(0, 4.2), ylim=(0.07, 0.1), title='Product against width')\n",
    "    metrics = {'Spread in position': sig(dxs), 'Spread in frequency': sig(dxi), 'Product of the two spreads': sig(product), 'Lowest possible product (1 / 4 pi)': sig(BOUND)}\n",
    "    touch = 'It reaches the limit, as only the Gaussian bell can.' if window == 'gaussian' else f'It sits {sig(product / BOUND)} times above the limit.'\n",
    "    summary = f'The {WINDOW_NAMES[window]} of width {width:g} spreads {sig(dxs)} in position and {sig(dxi)} in frequency, a product of {sig(product)}. {touch} Changing the width squeezes one spread and stretches the other, leaving the product unchanged.'\n",
    "    calc = f\"Position spread = square root of (integral of x^2 f^2 / integral of f^2) = {sig(dxs)}. Frequency spread = square root of (integral of f'^2 / (4 pi^2) / integral of f^2) = {sig(dxi)}. Product = {sig(dxs)} x {sig(dxi)} = {sig(product)}; the limit is 1 / (4 pi) = {sig(BOUND)}. Halving the width halves the first factor and doubles the second. Both integrals use the exact window and its exact slope on a fine grid, so the numbers match the closed forms to the digits shown.\"\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "HAAR_N = 32\n",
    "HAAR_LEVELS = 5\n",
    "SIGNALS = ['step', 'smooth', 'chirp']\n",
    "SIGNAL_NAMES = {'step': 'step edge', 'smooth': 'smooth wave', 'chirp': 'speeding wave'}\n",
    "\n",
    "def haar_signal(kind):\n",
    "    i = np.arange(HAAR_N)\n",
    "    if kind == 'step':\n",
    "        return (i >= 11).astype(float)\n",
    "    if kind == 'smooth':\n",
    "        return np.sin(2 * np.pi * i / HAAR_N)\n",
    "    return np.sin(2 * np.pi * (2 * i / HAAR_N + 3 * (i / HAAR_N) ** 2))\n",
    "\n",
    "def haar_forward(x):\n",
    "    a = np.asarray(x, dtype=float)\n",
    "    details = []\n",
    "    for _ in range(HAAR_LEVELS):\n",
    "        details.append((a[0::2] - a[1::2]) / math.sqrt(2))\n",
    "        a = (a[0::2] + a[1::2]) / math.sqrt(2)\n",
    "    return (a, details)\n",
    "\n",
    "def haar_inverse(a, details):\n",
    "    for d in reversed(details):\n",
    "        out = np.empty(2 * len(a))\n",
    "        out[0::2] = (a + d) / math.sqrt(2)\n",
    "        out[1::2] = (a - d) / math.sqrt(2)\n",
    "        a = out\n",
    "    return a\n",
    "\n",
    "def haar_values(signal='step', kept=2):\n",
    "    x = haar_signal(signal)\n",
    "    a, details = haar_forward(x)\n",
    "    keep = [m >= HAAR_LEVELS - kept + 1 for m in range(1, HAAR_LEVELS + 1)]\n",
    "    rebuilt = haar_inverse(a, [d if k else np.zeros_like(d) for d, k in zip(details, keep)])\n",
    "    total = float(np.sum(x ** 2))\n",
    "    kept_energy = float(np.sum(a ** 2) + sum((np.sum(d ** 2) for d, k in zip(details, keep) if k)))\n",
    "    count = 1 + sum((len(d) for d, k in zip(details, keep) if k))\n",
    "    nonzero = int(sum((np.sum(abs(d) > 1e-12) for d in details)))\n",
    "    return {'x': x, 'a': a, 'details': details, 'keep': keep, 'rebuilt': rebuilt, 'total': total, 'kept_energy': kept_energy, 'count': count, 'nonzero': nonzero}\n",
    "\n",
    "def haar_picture(signal='step', kept=2):\n",
    "    v = haar_values(signal, kept)\n",
    "    fig, ax = panels()\n",
    "    n = np.arange(HAAR_N)\n",
    "    ax[0].fill_between(n, v['x'], v['rebuilt'], color=TERRA, alpha=0.3, label='error')\n",
    "    ax[0].plot(n, v['x'], 'o-', color=NAVY, lw=1.8, ms=5, label='original')\n",
    "    ax[0].plot(n, v['rebuilt'], 's', linestyle='dashed', color=TEAL, lw=1.5, ms=4, label='rebuilt')\n",
    "    ax[0].legend(loc='upper center', fontsize=9, ncol=3)\n",
    "    ax[0].set(xlabel='sample position (n)', ylabel='value', ylim=(-1.35, 1.9))\n",
    "    biggest = max(max((abs(d).max() for d in v['details'])), abs(v['a']).max(), 1e-09)\n",
    "    for m in range(1, HAAR_LEVELS + 1):\n",
    "        d = v['details'][m - 1]\n",
    "        centers = (np.arange(len(d)) + 0.5) * 2 ** m - 0.5\n",
    "        big = abs(d) > 1e-12\n",
    "        ax[1].plot(centers[~big], np.full((~big).sum(), m), '.', color=GREY, ms=4)\n",
    "        if v['keep'][m - 1]:\n",
    "            ax[1].scatter(centers[big], np.full(big.sum(), m), s=30 + 260 * abs(d[big]) / biggest, color=TEAL, alpha=0.85)\n",
    "        else:\n",
    "            ax[1].scatter(centers[big], np.full(big.sum(), m), s=30 + 260 * abs(d[big]) / biggest, facecolors='none', edgecolors=TERRA, linewidths=1.8)\n",
    "    ax[1].scatter([15.5], [HAAR_LEVELS + 1], s=30 + 260 * abs(v['a'][0]) / biggest, color=TEAL, alpha=0.85)\n",
    "    ax[1].scatter([], [], s=60, color=TEAL, label='kept')\n",
    "    ax[1].scatter([], [], s=60, facecolors='none', edgecolors=TERRA, linewidths=1.8, label='dropped')\n",
    "    ax[1].legend(loc='upper right', fontsize=9, ncol=2)\n",
    "    ax[1].set_yticks(range(1, HAAR_LEVELS + 2))\n",
    "    ax[1].set_yticklabels(['width 2', '4', '8', '16', '32', 'average'])\n",
    "    ax[1].set(xlabel='position (n)', ylabel='wavelet width (samples)', ylim=(0.4, HAAR_LEVELS + 2.3), xlim=(-1.5, 32.5))\n",
    "    share = v['kept_energy'] / v['total']\n",
    "    error = math.sqrt(max(0.0, 1 - share))\n",
    "    if error < 1e-06:\n",
    "        error = 0.0\n",
    "    metrics = {'Numbers kept (of 32)': str(v['count']), 'Energy kept': f'{100 * min(share, 1):.3g}%', 'Rebuild error (share of signal size)': sig(error), 'Nonzero detail numbers (of 31)': str(v['nonzero'])}\n",
    "    kept_words = 'Keeping no detail levels' if kept == 0 else f\"Keeping the {plural(kept, 'coarsest detail level')}\"\n",
    "    count_words = plural(v['count'], 'number')\n",
    "    nz = v['nonzero']\n",
    "    nz_words = 'All 31 detail numbers are nonzero' if nz == 31 else f\"{nz} of the 31 detail numbers {('is' if nz == 1 else 'are')} nonzero\" if nz != 31 else ''\n",
    "    summary = f'{kept_words} ({count_words}) rebuilds the {SIGNAL_NAMES[signal]} with error {sig(error)} of its size. {nz_words}; the dots show which scales and places need them.'\n",
    "    calc = f\"Each step pairs neighbours: average = (x[2n] + x[2n+1]) / sqrt(2), detail = (x[2n] - x[2n+1]) / sqrt(2). Five steps turn 32 samples into 1 average and 31 details. The squared sizes add up to the original ({sig(v['total'])}). Keeping {plural(v['count'], 'number')} keeps {sig(100 * share)}% of that energy, so the error is sqrt(1 - {sig(share)}) = {sig(error)} of the signal size.\"\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "SCAT_N = 1024\n",
    "SHIFTS = [0, 1, 2, 4, 8, 16, 32, 64]\n",
    "AVERAGE_SCALES = [2, 4, 6]\n",
    "\n",
    "def scat_signal():\n",
    "    t = np.arange(SCAT_N)\n",
    "    first = np.exp(-(t - 250) ** 2 / (2 * 15 ** 2)) * np.cos(3 * np.pi / 8 * t)\n",
    "    second = np.exp(-(t - 600) ** 2 / (2 * 30 ** 2)) * np.cos(3 * np.pi / 16 * t)\n",
    "    return first + second\n",
    "_OMEGA = 2 * np.pi * np.fft.fftfreq(SCAT_N)\n",
    "\n",
    "def average(f, scale_power):\n",
    "    \"\"\"Smooth with a Gaussian of standard deviation 2**J samples.\"\"\"\n",
    "    s = 2.0 ** scale_power\n",
    "    return np.fft.ifft(np.fft.fft(f) * np.exp(-_OMEGA ** 2 * s ** 2 / 2)).real\n",
    "\n",
    "def envelopes(f):\n",
    "    \"\"\"Modulus of the signal filtered by analytic Gabor-like wavelets, before any averaging.\"\"\"\n",
    "    spectrum = np.fft.fft(f)\n",
    "    out = []\n",
    "    for j in range(4):\n",
    "        centre = 3 * np.pi / 4 / 2 ** j\n",
    "        out.append(abs(np.fft.ifft(spectrum * np.exp(-(_OMEGA - centre) ** 2 / (2 * (centre / 2) ** 2)))))\n",
    "    return np.array(out)\n",
    "\n",
    "def scattering(f, scale_power):\n",
    "    channels = [average(f, scale_power)] + [average(e, scale_power) for e in envelopes(f)]\n",
    "    return np.array(channels)\n",
    "\n",
    "def shift_changes(shift, scale_power):\n",
    "    f = scat_signal()\n",
    "    g = np.roll(f, shift)\n",
    "    raw = float(np.linalg.norm(g - f) / np.linalg.norm(f))\n",
    "    base = scattering(f, scale_power)\n",
    "    change = float(np.linalg.norm(scattering(g, scale_power) - base) / np.linalg.norm(base))\n",
    "    return (raw, change)\n",
    "\n",
    "@lru_cache(maxsize=None)\n",
    "def change_curve(scale_power):\n",
    "    cs = np.arange(0, 65)\n",
    "    return (cs, np.array([shift_changes(int(c), scale_power) for c in cs]))\n",
    "\n",
    "def scattering_picture(shift=8, scale_power=6):\n",
    "    f = scat_signal()\n",
    "    g = np.roll(f, shift)\n",
    "    fig, ax = panels()\n",
    "    t = np.arange(SCAT_N)\n",
    "    e0 = average(envelopes(f)[1], scale_power)\n",
    "    e1 = average(envelopes(g)[1], scale_power)\n",
    "    scale = 1.0 / max(e0.max(), 1e-09)\n",
    "    ax[0].plot(t, f + 3.6, color=NAVY, lw=1.2)\n",
    "    ax[0].plot(t, g + 1.4, color=TERRA, lw=1.2)\n",
    "    ax[0].plot(t, e0 * scale * 1.1 - 1.4, color=TEAL, lw=3, alpha=0.7)\n",
    "    ax[0].plot(t, e1 * scale * 1.1 - 1.4, linestyle='dashed', color=GOLD, lw=1.8)\n",
    "    ax[0].text(155, 4.65, 'original signal', fontsize=9, color=NAVY)\n",
    "    ax[0].text(155, 2.45, f'shifted by {shift}', fontsize=9, color=TERRA)\n",
    "    ax[0].text(155, -0.1, f'averaged envelope (width {2 ** scale_power}), before and after', fontsize=9, color=TEAL)\n",
    "    ax[0].set(xlabel='sample position', yticks=[], xlim=(150, 400), ylim=(-1.9, 5.2))\n",
    "    cs, table = change_curve(scale_power)\n",
    "    del table\n",
    "    ax[1].plot(cs, [change_curve(2)[1][c][0] for c in cs], '-', color=GREY, lw=1.5)\n",
    "    ax[1].text(68, 1.45, 'raw samples', fontsize=9, color=GREY, va='center')\n",
    "    styles = {2: ('dotted', TERRA), 4: ('dashed', GOLD), 6: ('solid', TEAL)}\n",
    "    for s in AVERAGE_SCALES:\n",
    "        style, colour = styles[s]\n",
    "        vals = [change_curve(s)[1][c][1] for c in cs]\n",
    "        ax[1].plot(cs, vals, linestyle=style, color=colour, lw=3 if s == scale_power else 1.6, alpha=1 if s == scale_power else 0.7)\n",
    "        ax[1].text(68, vals[-1], f'width {2 ** s}', fontsize=9, color=colour, va={2: 'bottom', 4: 'top', 6: 'center'}[s])\n",
    "    raw, change = shift_changes(shift, scale_power)\n",
    "    ax[1].plot([shift], [change], 'o', ms=13, mfc='none', mec=TERRA, mew=2.5, zorder=6)\n",
    "    ax[1].set(xlabel='shift (samples)', ylabel='relative change of the description', xlim=(0, 100), ylim=(-0.03, 1.95))\n",
    "    guide = shift / 2 ** scale_power\n",
    "    metrics = {'Change in the raw samples': sig(raw), 'Change in the averaged description': sig(change), 'Shift divided by averaging width': sig(guide), 'Averaging width (samples)': str(2 ** scale_power)}\n",
    "    if shift == 0:\n",
    "        summary = 'With no shift nothing changes, so both descriptions agree exactly. Move the shift to see the raw samples change at once while the averaged description changes in proportion to shift / 2^J.'\n",
    "    else:\n",
    "        share = 100 * change / raw if raw > 0 else 0\n",
    "        where = 'well below the averaging width' if guide < 0.5 else 'at or below the averaging width, where the guarantee applies' if guide <= 1 else 'past the averaging width, beyond where the guarantee holds'\n",
    "        summary = f\"A shift of {plural(shift, 'sample')} against an averaging width of {2 ** scale_power}: shift / 2^J = {sig(guide)}, {where}. The raw samples change by {sig(raw)} of their size; the averaged description by {sig(change)}, about {share:.2g}% of that. The change grows roughly in proportion to shift / 2^J.\"\n",
    "    calc = f'Relative change = norm of (description after shift - description before) / norm of description before. Raw samples: {sig(raw)}. Averaged first-order scattering with width 2^{scale_power} = {2 ** scale_power}: {sig(change)}. The book bound says the change is at most a constant times |c| / 2^J = {shift} / {2 ** scale_power} = {sig(guide)} (for |c| up to 2^J); the constant is not computed here.'\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})\n",
    "RESNET_BASE = 8.2\n",
    "VIT_ROWS = {224: 17.6, 384: 56.0}\n",
    "BOOK_ROWS = {224: (8.2, 17.6), 384: (24.0, 56.0), 512: (43.0, 109.0)}\n",
    "RESOLUTIONS = [224, 288, 384, 448, 512, 640, 768, 1024]\n",
    "\n",
    "def patches(resolution):\n",
    "    return (np.asarray(resolution, dtype=float) / 16) ** 2\n",
    "\n",
    "def vit_coefficients():\n",
    "    rows = sorted(VIT_ROWS)\n",
    "    matrix = np.array([[patches(r), patches(r) ** 2] for r in rows])\n",
    "    return np.linalg.solve(matrix, np.array([VIT_ROWS[r] for r in rows]))\n",
    "\n",
    "def resnet_flops(resolution):\n",
    "    return RESNET_BASE * (np.asarray(resolution, dtype=float) / 224) ** 2\n",
    "\n",
    "def vit_parts(resolution):\n",
    "    a, b = vit_coefficients()\n",
    "    n = patches(resolution)\n",
    "    return (a * n, b * n ** 2)\n",
    "\n",
    "def vit_flops(resolution):\n",
    "    linear, attention = vit_parts(resolution)\n",
    "    return linear + attention\n",
    "\n",
    "def flops_picture(resolution=224):\n",
    "    fig, ax = panels()\n",
    "    grid = np.linspace(128, 1024, 200)\n",
    "    ax[0].plot(grid, resnet_flops(grid), linestyle='dashed', color=TEAL, lw=2, label='ResNet-50 (convolution)')\n",
    "    ax[0].plot(grid, vit_flops(grid), '-', color=NAVY, lw=2, label='ViT-B/16 (attention)')\n",
    "    fitted = [r for r in BOOK_ROWS if r in VIT_ROWS]\n",
    "    held = [r for r in BOOK_ROWS if r not in VIT_ROWS]\n",
    "    ax[0].plot(list(BOOK_ROWS), [BOOK_ROWS[r][0] for r in BOOK_ROWS], 'x', color=TEAL, ms=8, mew=2)\n",
    "    ax[0].plot(fitted, [BOOK_ROWS[r][1] for r in fitted], 'x', color=NAVY, ms=8, mew=2)\n",
    "    ax[0].plot(held, [BOOK_ROWS[r][1] for r in held], 'D', mfc='none', mec=NAVY, ms=8, mew=2)\n",
    "    ax[0].plot([resolution] * 2, [float(resnet_flops(resolution)), float(vit_flops(resolution))], 'o', ms=13, mfc='none', mec=TERRA, mew=2.5)\n",
    "    ax[0].legend(loc='upper left', fontsize=9)\n",
    "    ax[0].set(xlabel='image side (pixels)', ylabel='cost (billions of operations)')\n",
    "    ratio = vit_flops(grid) / resnet_flops(grid)\n",
    "    ax[1].plot(grid, ratio, '-', color=NAVY, lw=2)\n",
    "    ax[1].plot(fitted, [BOOK_ROWS[r][1] / BOOK_ROWS[r][0] for r in fitted], 'D', color=GOLD, mec=NAVY, ms=9, label='book rows used in the fit')\n",
    "    ax[1].plot(held, [BOOK_ROWS[r][1] / BOOK_ROWS[r][0] for r in held], 'D', mfc='white', mec=GOLD, mew=2.5, ms=9, label='book row held out (512)')\n",
    "    ax[1].plot([resolution], [float(vit_flops(resolution) / resnet_flops(resolution))], 'o', ms=13, mfc='none', mec=TERRA, mew=2.5)\n",
    "    ax[1].legend(loc='upper left', fontsize=9)\n",
    "    ax[1].set(xlabel='image side (pixels)', ylabel='ViT cost / ResNet cost', ylim=(1.5, None))\n",
    "    lin, att = vit_parts(resolution)\n",
    "    res = float(resnet_flops(resolution))\n",
    "    vit = float(vit_flops(resolution))\n",
    "    metrics = {'ResNet-50 cost': f'{num(res)} billion', 'ViT-B/16 cost': f'{num(vit)} billion', 'ViT cost divided by ResNet cost': sig(vit / res), 'Share of the ViT cost from attention': f'{100 * float(att) / vit:.3g}%'}\n",
    "    summary = f'At {resolution} pixels the transformer costs {sig(vit / res)} times the convolutional network. Convolution cost grows with the pixel count, while the attention part of the transformer grows with its square, so the ratio keeps climbing.'\n",
    "    a, b = vit_coefficients()\n",
    "    n = float(patches(resolution))\n",
    "    calc = f'Patches N = ({resolution} / 16)^2 = {num(n)}. ViT cost = a N + b N^2 with a = {sig(a, 4)} and b = {sig(b, 3)} billion, fitted to the book rows 17.6 (224 px) and 56 (384 px): {num(a * n)} + {num(b * n * n)} = {num(vit)}. ResNet cost = 8.2 x ({resolution} / 224)^2 = {num(res)}. Ratio = {num(vit)} / {num(res)} = {sig(vit / res)}. The book lists 109 billion for ViT at 512 px (not used in the fit); this model gives {num(float(vit_flops(512)))}.'\n",
    "    return (fig, metrics, {'summary': summary, 'calculation': calc})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99e5412b",
   "metadata": {},
   "source": [
    "## C06-D01: A filter changes what you can see\n",
    "\n",
    "What are the actual terms in a convolution output, and what does each filter do to a flat stretch of signal?\n",
    "\n",
    "Each output sample adds up the inputs near it, each multiplied by a kernel weight. Listing the terms shows the arithmetic, and the frequency view shows the same operation as a gain for every wave speed, where the transform of the output is the product of the transforms.\n",
    "\n",
    "$$\n",
    "(f*k)[n]=\\sum_{j=0}^{7}f[j]\\,k[(n-j)\\bmod 8]\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\operatorname{DFT}(f*k)=\\operatorname{DFT}(f)\\operatorname{DFT}(k)\n",
    "$$\n",
    "\n",
    "**Symbols:** f: the eight input samples (0, 1, 3, 1, 0, 0, 0, 0); k: the kernel, a short list of weights; index 0 is its origin; n: which output sample is being computed; gain: output size divided by input size for a pure wave of one frequency\n",
    "\n",
    "**Predict before looking:** What does each kernel do to a constant input, a perfectly flat line?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "847dcf07",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:58.102438Z",
     "iopub.status.busy": "2026-10-03T01:40:58.102393Z",
     "iopub.status.idle": "2026-10-03T01:40:58.210284Z",
     "shell.execute_reply": "2026-10-03T01:40:58.210224Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "A filter changes what you can see"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Output at the selected sample:** 1.25\n",
       "- **Gain for a constant input:** 1\n",
       "- **Gain at the fastest wiggle:** 0\n",
       "- **Transform product versus direct sum, largest gap:** 0"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The smoothing kernel turns the input into the dashed output; the circled gold inputs are the ones that feed output 2. For a constant input the smoothing kernel keeps its level: its gain at zero frequency is 1."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Output n = sum over j of f[j] x k[(n - j) mod 8]. At n=2: 1 x 0.5 + 3 x 0.25 = 1.25. Gain at zero frequency is the sum of the kernel entries: 1. Index 0 is the kernel origin and the sum wraps around after 8 samples. The smoothing kernel (1/4, 1/2, 1/4) delays the output by one sample."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = filters_picture(**{'filter': 'smooth', 'position': 2})\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 filter changes what you can see'))\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": "26124a57",
   "metadata": {},
   "source": [
    "**What happens:** At Kernel = difference, Output sample (n) = 3: The difference kernel returns zero for a flat input: its gain at frequency 0 is 0 (red dot, right panel). The smoothing kernel returns the flat line unchanged, gain 1. One keeps the level, the other keeps only the change.\n",
    "\n",
    "**Takeaway:** A kernel acts differently on each frequency, and its gain at zero frequency, the sum of its weights, says what it does to a flat signal.\n",
    "\n",
    "**Use the idea:** Short convolutions over neighbouring tokens appear in several sequence models; whether such a kernel passes or cancels a constant level is its zero-frequency gain.\n",
    "\n",
    "**Where it applies:** Circular convolution on eight samples. The difference kernel is (1, -1), not a correlation. The smoothing kernel (1/4, 1/2, 1/4) is causal, so it delays the output by one sample. Frequencies are in cycles per sample, from 0 to 1/2.\n",
    "\n",
    "**Check your understanding:** A kernel (1/2, 1/2) is applied to a constant signal of value 6. What comes out? What does the kernel (1, -2, 1) give?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "The first gives 6 x (1/2 + 1/2) = 6, a pure smoother. The second gives 6 x (1 - 2 + 1) = 0, because its weights sum to zero. The zero-frequency gain is always the sum of the weights.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 6, 6.2.1 Fourier Transform and Convolution Theorem. Book convolution theorem (continuous version); this card is its eight-point cyclic analog with toy inputs.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9884e7a6",
   "metadata": {},
   "source": [
    "## C06-D02: Sampling can invent a pattern\n",
    "\n",
    "Can two different tones produce exactly the same samples?\n",
    "\n",
    "Between two samples a tone of frequency f + fs completes exactly one extra turn, so the sample values cannot show it. The samples therefore match a lower tone, and the sign of the alias tells whether that lower tone is flipped upside down.\n",
    "\n",
    "$$\n",
    "\\sin\\!\\big(2\\pi (f+kf_s)\\,n/f_s\\big)=\\sin\\!\\big(2\\pi f\\,n/f_s\\big),\\quad n,k\\in\\mathbb Z\n",
    "$$\n",
    "\n",
    "$$\n",
    "f_{\\mathrm{alias}}=f-\\operatorname{round}(f/f_s)\\,f_s\n",
    "$$\n",
    "\n",
    "**Symbols:** f: true tone frequency, in hertz (cycles per second); fs: sampling rate, in samples per second; f_alias: the signed frequency the samples appear to have; n: sample number; the sample is taken at time n / fs\n",
    "\n",
    "**Predict before looking:** A tone at exactly half the sampling rate, with phase zero, is sampled. What are all the samples?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "62d3189b",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:58.211442Z",
     "iopub.status.busy": "2026-10-03T01:40:58.211381Z",
     "iopub.status.idle": "2026-10-03T01:40:58.300724Z",
     "shell.execute_reply": "2026-10-03T01:40:58.300664Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "Sampling can invent a pattern"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Alias frequency (signed, Hz):** -0.2\n",
       "- **Half the sampling rate (Hz):** 0.5\n",
       "- **Largest gap between the two sample sets:** 0\n",
       "- **Ideal low-pass filter first:** removes the tone"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Sampled at 1 sample per second, the 0.8 Hz tone gives exactly the samples of a -0.2 Hz tone, so the samples cannot tell them apart. Any tone above half the sampling rate folds back below it."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "alias = f - round(f / fs) x fs = 0.8 - 1 x 1 = -0.2 Hz. At time n/fs the two sines differ by a whole number of turns, so their samples agree (largest gap 0). A negative alias means the samples look like a sign-flipped lower tone, so the dashed curve is upside down relative to a positive sine. An ideal low-pass filter placed before sampling would remove this tone."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = alias_picture(**{'frequency': 0.8, 'rate': 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='Sampling can invent a pattern'))\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": "e2f2278d",
   "metadata": {},
   "source": [
    "**What happens:** At Tone frequency (Hz) = 0.5, Sampling rate (Hz) = 1: Every sample is exactly 0: with phase zero each sample lands on a zero crossing, so the samples look like silence. Right panel: this is the fold point where the apparent frequency peaks.\n",
    "\n",
    "**Takeaway:** Samples keep a tone's phase only up to whole turns, so any tone above half the sampling rate shows up as a lower one.\n",
    "\n",
    "**Use the idea:** Audio is resampled before it reaches speech and audio models, and strided downsampling inside a network folds frequencies the same way unless the signal is smoothed first.\n",
    "\n",
    "**Where it applies:** Pure sine with phase zero, twelve samples. The low-pass step is an ideal retain-or-remove rule for this known tone, not a real finite filter. The tone is kept only if it is strictly below half the sampling rate.\n",
    "\n",
    "**Check your understanding:** A sensor records 100 samples per second and a 130 Hz hum is present. What frequency will the samples show?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "30 Hz: 130 - 1 x 100 = 30, which is below 50 Hz. The hum cannot be told from a real 30 Hz signal afterwards, so the signal must be filtered before it is sampled.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 6, 6.2.3 Aliasing and Anti-Aliasing. Book principle; the tone frequencies and sampling rates are companion toy inputs.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59ce8696",
   "metadata": {},
   "source": [
    "## C06-D03: Locate a short-lived change\n",
    "\n",
    "Where in time does a short event sit, and how does a wavelet find it when a global frequency view cannot?\n",
    "\n",
    "Overlap is the area under signal times wavelet. Because the wavelet has total area zero, a flat or slowly varying part of the signal cancels out, and only a feature of about the wavelet's own width, near its own location, gives a large value.\n",
    "\n",
    "$$\n",
    "Wf(a,b)=|a|^{-1/2}\\int f(x)\\,\\overline{\\psi\\big((x-b)/a\\big)}\\,dx\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\psi(z)=(1-z^2)\\,e^{-z^2/2}\n",
    "$$\n",
    "\n",
    "**Symbols:** f: the signal: a narrow bump at x = 1 plus a faint slow wave; psi: the wavelet, a small wiggle with total area zero; a: wavelet scale: how wide the wiggle is; b: wavelet location: where the wiggle is centred\n",
    "\n",
    "**Predict before looking:** A narrow wavelet (scale 0.15) sits on the event. Will sliding it away from the event raise or lower its overlap?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0685835a",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:58.302332Z",
     "iopub.status.busy": "2026-10-03T01:40:58.302269Z",
     "iopub.status.idle": "2026-10-03T01:40:58.413783Z",
     "shell.execute_reply": "2026-10-03T01:40:58.413731Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "Locate a short-lived change"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Overlap at the chosen spot:** 0.337\n",
       "- **Strongest overlap for this scale at b:** 1\n",
       "- **Peak overlap size:** 0.337\n",
       "- **Area of the wavelet (exact):** 0"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "At scale a=0.15 the wavelet centered at b=1 overlaps the signal by 0.337; the gold area is that overlap. The overlap is strongest near b=1, so a wavelet can say where the short event happened."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Overlap = integral of f(x) x psi((x - b) / a) / sqrt(a) dx, summed on a 4001-point grid over [-4, 4]. With a=0.15 and b=1 this gives 0.337. At the wavelet center psi(0) / sqrt(a) = 1 / sqrt(0.15) = 2.58. The wavelet (1 - z^2) exp(-z^2 / 2) has total area exactly 0, so a constant signal gives zero overlap."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = wavelets_picture(**{'scale': 0.15, 'location': 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='Locate a short-lived change'))\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": "f0ed9a1c",
   "metadata": {},
   "source": [
    "**What happens:** At Wavelet scale (a) = 0.15, Wavelet location (b) = 2: Lower, almost to zero: the overlap drops from 0.337 on the event to 0.00808 at b = 2. A wavelet that is as narrow as the event is sensitive to where it sits.\n",
    "\n",
    "**Takeaway:** A wavelet overlap changes with its location, so a short event shows up as a peak at the place and scale where it sits.\n",
    "\n",
    "**Use the idea:** Multiscale features in vision and audio encoders that feed language models rely on this idea: use small filters for fine local detail and large ones for broad structure.\n",
    "\n",
    "**Where it applies:** Admissible Mexican-hat wavelet with zero area, 4001-point grid on [-4, 4]. The trapezoid sum approximates the integral and the window edge limits accuracy. Amplitudes use the 1 / sqrt(a) scale normalization.\n",
    "\n",
    "**Check your understanding:** Why does a constant signal over a long window give almost zero overlap with this wavelet?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "Substituting z = (x - b) / a turns the overlap into the constant times sqrt(a) times the area of the wavelet, which is zero. Cutting the window short can spoil the cancellation.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 6, 6.3.2 Continuous Wavelet Transform. Book wavelet definition; the Mexican-hat wavelet and the bump-plus-wave signal are companion choices. Integrals use trapezoid sums with spacing 0.002.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8140bee6",
   "metadata": {},
   "source": [
    "## C06-D04: Keep a baseline and add a correction\n",
    "\n",
    "A residual block adds a correction to what it was given. Can the block still lose the information it carried?\n",
    "\n",
    "The block output is the input plus a correction. If the correction is scaled by a small step, many blocks trace out a smooth flow (the Euler method). If the correction is large relative to the identity it can cancel it.\n",
    "\n",
    "$$\n",
    "y=x+F_\\Delta(x),\\qquad J_y=I+J_{F_\\Delta}\n",
    "$$\n",
    "\n",
    "$$\n",
    "F_\\Delta(x)=\\Delta\\,\\operatorname{diag}(-\\alpha,\\alpha)\\,x,\\quad \\Delta=1/N\n",
    "$$\n",
    "\n",
    "**Symbols:** x: two coordinates, both starting at 1; alpha: correction strength: one coordinate decays, the other grows; N: number of residual blocks that share total time one; J: slope (derivative) of the block output with respect to its input\n",
    "\n",
    "**Predict before looking:** Strength 1 and a single block: can the block slope be zero even though the block has an identity branch?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "96b59a1c",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:58.414932Z",
     "iopub.status.busy": "2026-10-03T01:40:58.414886Z",
     "iopub.status.idle": "2026-10-03T01:40:58.511416Z",
     "shell.execute_reply": "2026-10-03T01:40:58.511364Z"
    },
    "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": "Keep a baseline and add a correction"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Slope of one block (first coordinate):** 0.75\n",
       "- **Decaying coordinate after N blocks:** 0.316\n",
       "- **Exact flow value:** 0.368\n",
       "- **Gap between blocks and flow:** 0.0515"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "4 blocks of size 1/4 give 0.316 for the decaying coordinate, against 0.368 for the smooth flow. More, smaller blocks (right panel) close the gap; the identity branch alone never guarantees information survives."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "One block multiplies the first coordinate by 1 - alpha / N = 1 - 1 / 4 = 0.75. After 4 blocks, starting from 1: (0.75)^4 = 0.316. The exact flow gives exp(-1) = 0.368. The growing coordinate uses 1 + alpha / N the same way. This is the Euler method for the pair of equations dx/dt = -alpha x and dx/dt = +alpha x."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = residual_picture(**{'strength': 1, 'steps': 4})\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='Keep a baseline and add a correction'))\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": "59aa2d4c",
   "metadata": {},
   "source": [
    "**What happens:** At Correction strength (alpha) = 1, Blocks over time one (N) = 1: Yes. The identity contributes +1 and the correction -1, so the slope is 0 and the decaying coordinate is erased in one step (red circle at 0, right panel), while the smooth flow keeps 0.368.\n",
    "\n",
    "**Takeaway:** An identity branch does not protect information: a correction can cancel it, and many small blocks are what approximate a smooth flow.\n",
    "\n",
    "**Use the idea:** Transformer layers also add each layer's output to a running stream, so whether a correction can cancel or distort what it was given matters for training stability.\n",
    "\n",
    "**Where it applies:** Linear residual map with step scaling 1 / N. Euler convergence to the flow concerns N growing at fixed strength and fixed total time, not arbitrary unscaled networks.\n",
    "\n",
    "**Check your understanding:** With strength 2 and four blocks, what happens to the decaying coordinate after one block and after all four? What does the smooth flow give?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "One block multiplies it by 1 - 2/4 = 0.5; four blocks give 0.5^4 = 0.0625. The smooth flow gives exp(-2) = 0.135, so four blocks are too coarse.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 6, 6.6.2 Skip Connections and Residual Blocks; 6.6.4 ResNets as Neural ODEs. Book residual-block principle; the two-coordinate linear correction and its constants are companion toy inputs.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed2128ec",
   "metadata": {},
   "source": [
    "## C06-D05: Sharp in place or sharp in frequency\n",
    "\n",
    "Can a window pinpoint where something happens and also exactly which frequency it has?\n",
    "\n",
    "A narrow window changes quickly, which requires many frequencies to build it; a wide window changes slowly and needs few. Rescaling the width multiplies one spread and divides the other, so the product only depends on the shape of the window.\n",
    "\n",
    "$$\n",
    "\\Delta x\\,\\Delta\\xi\\ \\ge\\ \\frac{1}{4\\pi}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\Delta x^2=\\frac{\\int x^2|f|^2dx}{\\int|f|^2dx},\\qquad \\Delta\\xi^2=\\frac{\\int \\xi^2|\\hat f|^2d\\xi}{\\int|\\hat f|^2d\\xi}\n",
    "$$\n",
    "\n",
    "**Symbols:** Dx: spread of the window in position (standard deviation of its energy); Dxi: spread of its spectrum in frequency, in cycles per unit; w: width setting of the window; f: the window shape: Gaussian bell, Hann bump or triangle\n",
    "\n",
    "**Predict before looking:** Shrink the window from width 2 to width 1. Does the product of the two spreads change? Which window shape touches the limit 1 / (4 pi)?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "af48caa6",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:58.512598Z",
     "iopub.status.busy": "2026-10-03T01:40:58.512543Z",
     "iopub.status.idle": "2026-10-03T01:40:58.649509Z",
     "shell.execute_reply": "2026-10-03T01:40:58.649459Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "Sharp in place or sharp in frequency"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Spread in position:** 0.566\n",
       "- **Spread in frequency:** 0.144\n",
       "- **Product of the two spreads:** 0.0817\n",
       "- **Lowest possible product (1 / 4 pi):** 0.0796"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The Hann bump of width 2 spreads 0.566 in position and 0.144 in frequency, a product of 0.0817. It sits 1.03 times above the limit. Changing the width squeezes one spread and stretches the other, leaving the product unchanged."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Position spread = square root of (integral of x^2 f^2 / integral of f^2) = 0.566. Frequency spread = square root of (integral of f'^2 / (4 pi^2) / integral of f^2) = 0.144. Product = 0.566 x 0.144 = 0.0817; the limit is 1 / (4 pi) = 0.0796. Halving the width halves the first factor and doubles the second. Both integrals use the exact window and its exact slope on a fine grid, so the numbers match the closed forms to the digits shown."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = uncertainty_picture(**{'window': 'hann', 'width': 2})\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='Sharp in place or sharp in frequency'))\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": "e4fb803a",
   "metadata": {},
   "source": [
    "**What happens:** At Window shape = gaussian, Window width (w) = 1: The product stays fixed under rescaling, and the Gaussian bell sits exactly on the limit: position spread 0.707 times frequency spread 0.113 gives 0.0796 = 1 / (4 pi). The Hann bump and triangle stay above it.\n",
    "\n",
    "**Takeaway:** Narrowing a window in position widens it in frequency by the same factor, and no window can make the product of the two spreads smaller than 1 / (4 pi).\n",
    "\n",
    "**Use the idea:** Audio and image front ends for language models cut signals into windows; a short window locates events but blurs pitch, and a long window does the reverse.\n",
    "\n",
    "**Where it applies:** Real windows centred at zero, Fourier transform with e^(-2 pi i x xi) so frequency is in cycles per unit. A plain box window is left out because its spectrum decays too slowly for a finite frequency spread. Only the Gaussian bell attains the bound.\n",
    "\n",
    "**Check your understanding:** A Gaussian window has position spread 0.5. What is its frequency spread, and could another shape do better?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "Frequency spread = 1 / (4 pi x 0.5) = 0.159, since the Gaussian attains the limit. No other shape can have a smaller product, so any other shape with position spread 0.5 has a larger frequency spread.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 6, 6.2.2 Frequency Interpretation of CNN Filters. Book uncertainty inequality; the three window shapes and widths are companion toy inputs. Spreads are computed on a fine grid, the frequency spread through the derivative form of Parseval.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aea403f2",
   "metadata": {},
   "source": [
    "## C06-D06: Rebuild a signal from coarse to fine\n",
    "\n",
    "How many numbers does a signal really need when you keep a coarse summary and add detail only where it matters?\n",
    "\n",
    "Each step replaces neighbouring pairs by their average and their difference. The averages form a half-size summary and the differences record exactly what the summary lost, so nothing is thrown away until you choose to drop detail numbers.\n",
    "\n",
    "$$\n",
    "a_j[n]=\\sum_k h[k-2n]\\,a_{j+1}[k],\\qquad d_j[n]=\\sum_k g[k-2n]\\,a_{j+1}[k]\n",
    "$$\n",
    "\n",
    "$$\n",
    "h=\\tfrac{1}{\\sqrt2}(1,1),\\quad g=\\tfrac{1}{\\sqrt2}(1,-1)\n",
    "$$\n",
    "\n",
    "**Symbols:** a: approximation: a blurred, half-size summary of the signal; d: detail: what the blur threw away; h, g: the averaging and differencing filters of the Haar wavelet; j: level: how coarse the summary is\n",
    "\n",
    "**Predict before looking:** A step edge sits inside 32 samples. If you keep every level, how many of the 31 detail numbers are nonzero, and is the rebuild exact?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "86f9c217",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:58.650696Z",
     "iopub.status.busy": "2026-10-03T01:40:58.650640Z",
     "iopub.status.idle": "2026-10-03T01:40:58.741260Z",
     "shell.execute_reply": "2026-10-03T01:40:58.741169Z"
    },
    "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": "Rebuild a signal from coarse to fine"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Numbers kept (of 32):** 4\n",
       "- **Energy kept:** 91.1%\n",
       "- **Rebuild error (share of signal size):** 0.299\n",
       "- **Nonzero detail numbers (of 31):** 5"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Keeping the 2 coarsest detail levels (4 numbers) rebuilds the step edge with error 0.299 of its size. 5 of the 31 detail numbers are nonzero; the dots show which scales and places need them."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Each step pairs neighbours: average = (x[2n] + x[2n+1]) / sqrt(2), detail = (x[2n] - x[2n+1]) / sqrt(2). Five steps turn 32 samples into 1 average and 31 details. The squared sizes add up to the original (21). Keeping 4 numbers keeps 91.1% of that energy, so the error is sqrt(1 - 0.911) = 0.299 of the signal size."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = haar_picture(**{'signal': 'step', 'kept': 2})\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='Rebuild a signal from coarse to fine'))\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": "06e764d5",
   "metadata": {},
   "source": [
    "**What happens:** At Signal = step, Detail levels kept (coarsest first) = 5: Only 5 of the 31 detail numbers are nonzero, one per level, all near the jump (right panel), and the rebuild is exact. An edge costs a few numbers, not many.\n",
    "\n",
    "**Takeaway:** A localized feature such as an edge needs only a few wavelet numbers, one per scale, which is why coarse-to-fine summaries compress well.\n",
    "\n",
    "**Use the idea:** The downsample-and-merge stages of vision and audio encoders build the same kind of pyramid, and sparse wavelet numbers are why wavelet image compression works.\n",
    "\n",
    "**Where it applies:** 32 samples and five levels, so 1 average and 31 details. Orthonormal Haar filters, so squared sizes add up exactly. Detail levels are kept from the coarsest down. The step edge is placed at sample 11, which is not a multiple of a power of two.\n",
    "\n",
    "**Check your understanding:** A constant signal of 32 equal samples is transformed. How many detail numbers are nonzero, and how few numbers rebuild it?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "None: every pair has difference zero. The single average number rebuilds it, since each step just copies the average to both halves.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 6, 6.3.3 Multiresolution Analysis. Book fast wavelet transform with the Haar pair; the 32-sample signals are companion toy inputs.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b4b23ee",
   "metadata": {},
   "source": [
    "## C06-D07: Averaging makes a shift almost invisible\n",
    "\n",
    "If a pattern slides sideways, how much does its description change?\n",
    "\n",
    "Raw samples of a fast wiggle change completely after a shift of a fraction of a wavelength. Taking the envelope of the wiggle and averaging it over a wide window removes the dependence on the exact position, so a shift much smaller than the window barely changes it.\n",
    "\n",
    "$$\n",
    "\\|\\bar S(T_cf)-\\bar Sf\\|\\ \\le\\ C\\,\\frac{|c|}{2^{J}}\\,\\|f\\|\\quad(|c|\\le 2^J)\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\bar Sf=\\big\\{\\,f*\\phi_{2^J},\\ \\ |f*\\psi_j|*\\phi_{2^J}\\,\\big\\}\n",
    "$$\n",
    "\n",
    "**Symbols:** c: shift of the signal, in samples; J: averaging scale: the averaging window is about 2^J samples wide; phi: the smooth averaging window; psi_j: wavelet at scale j; its absolute value is the envelope of the wiggle\n",
    "\n",
    "**Predict before looking:** The averaging window is only 4 samples wide and the pattern shifts by 64. Is the averaged description still nearly unchanged?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "207c5a0a",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:58.743275Z",
     "iopub.status.busy": "2026-10-03T01:40:58.743156Z",
     "iopub.status.idle": "2026-10-03T01:40:58.910695Z",
     "shell.execute_reply": "2026-10-03T01:40:58.910644Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "Averaging makes a shift almost invisible"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **Change in the raw samples:** 1.66\n",
       "- **Change in the averaged description:** 0.161\n",
       "- **Shift divided by averaging width:** 0.25\n",
       "- **Averaging width (samples):** 64"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "A shift of 16 samples against an averaging width of 64: shift / 2^J = 0.25, well below the averaging width. The raw samples change by 1.66 of their size; the averaged description by 0.161, about 9.7% of that. The change grows roughly in proportion to shift / 2^J."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Relative change = norm of (description after shift - description before) / norm of description before. Raw samples: 1.66. Averaged first-order scattering with width 2^6 = 64: 0.161. The book bound says the change is at most a constant times |c| / 2^J = 16 / 64 = 0.25 (for |c| up to 2^J); the constant is not computed here."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = scattering_picture(**{'shift': 16, 'scale_power': 6})\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='Averaging makes a shift almost invisible'))\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": "9e111a5f",
   "metadata": {},
   "source": [
    "**What happens:** At Shift (samples) = 64, Averaging scale (J, width 2^J) = 2: No. A shift of 64 is sixteen times the averaging width, so the envelope has moved out of its window and the description changes by 1.24, nearly as much as the raw samples (1.25). The bound only covers shifts up to 2^J, and even there the change grows with shift / 2^J.\n",
    "\n",
    "**Takeaway:** Averaging at width 2^J makes the description change in proportion to shift / 2^J, so it stays small for shifts well below 2^J while the raw samples change at once.\n",
    "\n",
    "**Use the idea:** Pooling layers in convolutional networks aim for the same shift tolerance; the width that buys tolerance also erases fine position detail.\n",
    "\n",
    "**Where it applies:** First-order scattering only, on a periodic 1024-sample signal of two wave packets. Four Gabor-style wavelets at 3 pi / 4 divided by 2^j, j = 0 to 3, and a Gaussian averaging window of standard deviation 2^J. The theorem's bound applies for shifts up to 2^J.\n",
    "\n",
    "**Check your understanding:** The averaging window is 32 samples wide (J = 5). Up to what shift does the guarantee apply, and what happens to the bound if J is raised by one?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "Up to about 32 samples. Raising J by one doubles the window, so the bound c / 2^J halves for the same shift, at the price of less position detail.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 6, 6.4.2 Mathematical Properties. Book Theorem 6.2, property 1 (the bound). The signal, the wavelets and the averaging windows are companion toy choices; the constant C is not computed, so the plot shows measured change.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0f9128d",
   "metadata": {},
   "source": [
    "## C06-D08: Convolution against attention cost\n",
    "\n",
    "When an image gets bigger, does attention cost grow faster than convolution cost?\n",
    "\n",
    "A filter does the same work at every pixel, so doubling the pixel count doubles the cost. Attention compares every patch with every other patch, so doubling the patches quadruples that comparison part. At small sizes the rest dominates, and at large sizes attention takes over.\n",
    "\n",
    "$$\n",
    "\\mathrm{FLOPs}_{\\mathrm{conv}}=2K^2\\,C_{\\mathrm{in}}\\,C_{\\mathrm{out}}\\,\\frac{H}{s}\\frac{W}{s}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\mathrm{FLOPs}_{\\mathrm{ViT}}\\approx aN+bN^2,\\qquad N=(\\mathrm{side}/16)^2\n",
    "$$\n",
    "\n",
    "**Symbols:** K: filter size (for example 3 for a 3 by 3 filter); Cin, Cout: number of input and output channels; N: number of 16 by 16 patches the image is cut into; a, b: constants for the part of the cost that grows like N and like N squared\n",
    "\n",
    "**Predict before looking:** The transformer costs 2.1 times the convolutional network at 224 pixels. At 512 pixels, is the ratio still 2.1?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "939146e5",
   "metadata": {
    "collapsed": true,
    "execution": {
     "iopub.execute_input": "2026-10-03T01:40:58.911886Z",
     "iopub.status.busy": "2026-10-03T01:40:58.911838Z",
     "iopub.status.idle": "2026-10-03T01:40:59.000750Z",
     "shell.execute_reply": "2026-10-03T01:40:59.000683Z"
    },
    "jupyter": {
     "source_hidden": true
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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12/yKY6cvRDjm3YePGDZhBkpUb4ZsJarL7/BJs/6R+ffic6wm0/5eJM+X4jqmOYWWr9sqz0dZi1XDgWOn5f3ifTTvMkD2a0T/Rpz39xw6oXiOkX/8T557w/Ytbt97JJ9XPC4wzDIgMSNZlIvzZthjuw0cjeLVmyFPubqo2bIb/vfPCpnXKjr5K9RHjyHjNKYXEK8jrjW9Ts7StWRuHE2vc+/hE/mcop8ozs0iZ8/C/9ZrXN61ZfdBuDTtJD/3yo06KN5XTGjKCaTK2fP5yzf0HzVZvkfRb+05dDw+eIT2byIjPr+bdx7gweNn6v6IuIi+SFianl/0H8OLTXuE9e27p3xdkVpAKF+vraI+qosqn1VM602kK17evpi6YIuirGLJfHI5WFLAkCslSSmMQmZRiFGEsIaM/1MGYMI6fvYSzl66jg1LZqN8qZA/zKVrt2DMzxkyKmJ0VExTvX5sOzKkT6e4b+SAX2VHZ9qcxVg5f3qUdYtJHVRrn4WwJ06xHjymxMmxdO2WshOQydEBtapWxIBfO8AmTWr1MTdu35PXDWu6KB4rAmq1XSrKTp5IHixmi0TG28dXvlaDWlUjDbaE7+iIpUdXXO/ImUfyfQUFoUPvYTh7KTRBsY+PL7bsOohjpy9i//pF6vxEqmV4F666YtSU2Qj82SZu7q8wdvpcpE6VCq2b1EX2rE4oUiAvtu49hHFD+ygCYF7ePth98Lgc+RZLH2Jbh9iu6w/6eV/IcdF9thFzAiVG+4RVokgBLFmzWT6GS8IoKayvnzRvk+xIVSldABYWZrqukt4wNzeLNHCT0spKXqJ8vJkZ0qfT/53A4hsA0uXSsHnL1mDn/qPq29dv3UPHviNk30EE5FU5B+u26YHXb9+rjxPf4f+sWIczF69g15qFsDA3j/Wx4YmAy+Bxf8rgxKSRA+Sy9qiozl/zl63F9n1H1OVBQcFyRvBvY6YqlpZfvnFLXkTOxF6dQ5Y/lC1ZFP9t2I7zV13V7/f0xSvycWLwTrRHqWKFQsovXJWvp+qbiWX+LboOkEv/Ve4+eCwvP/ADQ/t0jbL+YumQqGtk6QVU511Nr3PnwWN5Cfs6Zy5cRce+w+UgjYoISkycuQCPnj7H7Ekj1eWrNu3A8Imz1LcfPnHDgN+nyEHEmNKUE0i8p2BfP7T+9TfcvPtQXS5+x96++4Cdq/+Jtk3Uzx/m57Cfo5gZqOn537x9r1iiFpv2iCrFQvi6KI+Leb2JdOmf1fvx9kNooDSlpTlG9mmeJPIBCQwCGSDnEWPj9LjpzRujTemSEco3XLqCkVt3xuk53f78AwlJJENeu3mXDErkz51D/Q++KvAggi+F8+fGmMG9UTh/HnkSOXLyvPxnWQR9jm0PGYHYd/gkrCwtseDPsbLzIf6Jv/vgCRav2qjxdcU/4CIZtQiaXL5+S92BCS+mdRD/pOfLnV3ORBKdp+4dQjpmsfniEEErFTEy8vjZOuw7chJ71v2rbhfVTKlsWTNHmjPr1dt3KInIg0BP3F7I9dvOWSI+h3g9EQASSdHF+61UtoT8J0XMAlq5cYf6uM27DsoAh5hNNH3MEBQvnF/WbfLshTJXxcRZC7D876mK59665xD6dGmHTm2ayLwVe4+cxJBxf+K/DdvUQY6WjerIUUcxOlnLpaL6sXsPn5CJT1s2rhOvOsRFXD7bxGofFdVnd//RUwaBSO8dOXsTpy7ekRcrS3P0aFcbHZpU0XW1KIkFgHQVCNp/5BQm//4bGteuJpeSr926B7MXrsDoqX+hWsUyckmemPUpgjrlShWVS7WdnTLh9v1H8nwm/hFfumaLOudhbI4NS8zE6T54LM5duo5/Z01Ao9rVYvwe9v18Dw1qVoW9rY1cWl6iRnNZ92F9u8pzr4mJMXbuPybPU1PnLEKz+jXhkM4OFcsUl+e7MxevqoNAYofKKuVLwfX2fRn4UfWhzl26Jt+PKt+iOA+KwEyn1k3Qr3sH2KSylrNhDx4/m6D5CMO/jq1NGvk64rNTvY4IjAwcPUUGHf4YOQD1alSR51qRZH3cn/NkX69jy8YoViifbOs//rdQbrwxbljfCJ99fInZN2LQa9fqf5Avdw4ZBOw7YpLMjynuE2WReXH9GOqqEixvDa1L2IGzyJ7/0vVb8r6C+XLHqj00ETPRRcoC8fv89+LVuLB/IzJnTK++X/wei9nTsak3kS53A9u096yirF+n+nBMF/p/qb7jcjAD5OnnF6dLQCRReVEe1+dMCNPmLlFPAxXTVKfMWSSXMs2bNibCP8Ui98Haf/+HyuVKyRkxIhjSpmk99OvaXu6M9erNO3lsWps0yOiYDrWqVpAnJtEBEB2XVQv+jDALSGVQr86yczAlijw6Ma2D6CAZG4Ws+xadKtVSrpiuBS9XsihWzZ+Omyd24tap3VizcCYK5MkpT9wz5i1VH+fj66tOIhqelUVImY9P1J+Tx6cvIW0WZoZR6Ps9LK8X/W+iDDyI5Xpi57yaVcpjzT8zFNuByuNmTYJLxTKyzcXOVUv/miw/y6OnLsDPX9nJr1u9kpzhkzVzRnl8u2YNULlcSRnIUBEjbGJke9OuA4rHiqV7aVJby9lO8alDXMTls02s9lFJaxPy2YVdGkekr8Kur/f28UPa1Cl1Wh9KugEgXSwNExsoiBk36ext5fe3WMLeqE41PHd/LQebhH1HT8l+x8p50+VgkViuJwakRLBfnCtU54TYHqsivuubdRmAq653sH7x/2IVABLE8nHxHhwd7OX5SwSSxCye9s0b4LeeneT7EjPKxHsVx4qAh9gKXRB9HrGL69mL19SzkS5edZXnp3KlislZQapZxmJWkOh7qaj6GaK9xKYVVlaWyJsrOwb37ixfJ6GEfx3Rt8sX7nXOX7mOV2/fY3j/7vi1Yyv5nkXORZHAeMnskAFOVQoBEVQSy8g0ffaxmQkUGRFcWrVgOkoXLyx3IxYpEYb0CcmPKYI0UQnb94gsdUBUz6/qU8SmPaLMh4iQATEj49D+kbiI/lJs602kC/4BgZg8b7NiVlrR/NnQvG5I0Dup4F8T6b3wy2/EP9m/dmgpk1qGJabeihkrRV2aRHgO1R+qGE0TJ64R/bvLvDVivXv1SuVQuEAe2UGJapp8Oru06NmpjRzVESc6EegILzZ1iIpYCx12KqwI+mxZ/rf69rK/pyiOF6NtRQvmRelarXDg2BnMGD9MlosAiRB26q6K988AkUW4JXWxIfLyiJEg1VTuyDx/+VomHxV1DEss5xOPFUEbMa057HKssiWKRnge0Vk7ee6ynBosOggiyFazankcPnFOJkMVwZA37z7IpXcdWjRUv/+41kFbEqt91H7+7qk6X0T66vW7T3C956a+bW5miqplI5+pSKRvxIyXCGXlSsldOcV3vZiZK3KtiD5E+B3gcmbLAmenjHJAR7W0OabHhiVytojZsAc2LEXBfMq+UkyIWb1hiXoL1SqVjXCsSPA7b+kaRT1EYGf5um0yz4yYTSxyF4mcVWLZ2oQZ82WfRASGRPBIlKuIQZBWjeuiY58R8twu+zXFCqFYofwRggTxEf51ihfKLwMgRQrkUb+O6M8Jk2f/iyl/ac6lJBKxC27uryP97KtWKIMdYZYHxoVzlkwR+qdOGTOoE8LHV9TP7xPr9iAyZMs3HsEz99DfdTNTE4zp3ypBv6O0IWnVlmLE2tw8ThfTSGYqiPK4PmdC7g727OpRHNq8TOY3EVNGt+05pDHIoto+PexFFUgSHQ4hdw5nnN69FtPHDkHq1Nayc1aublv0HjZBTnuOTJ8ubWFnayOnPmvKDRObOkS/rj3MJTj6XEFi9C2Hs5NitoeY7SQ8e/EywvFuP8syRjLzKezzCp81JBUW7zcmX3riuMhWQ6keH36Zt6bgVOixoQeLjpyYJbPzQEgna8uuA7KtxXT1+NZB4zGIeJCvhiBbbCRm+wifv4bkPRC/u0T67MDJ0LxYQpWyBZDSKuJMRjJMYomWWKqVJ3smvPGzlUu4vIPinxNKPId4LvGc4rkTczlYihRGkeYxlN/NqqB8JF/64ntc/RUem2PDEDn8RL64v5esUiRijqm0adIobqteQ9NAgti8I+SY0IqIwI44D4vEz2JZmJh5I2Yri3Jxvr507aY6B16FMEEg8T7nTh2Nw1uWoXSxwjLfTO9hE1GxQTuNG3xorMuP6M/R4V9HbPrRc+g4xeuo3o8qH2D4iyCWSEX32Rv9/OzjI+rzfbyfPkb9ibi0B5Gheez2Biu2KIO63dvUhHNmByQ1nAlkgBI6D4/IE6QpV5C2dwcTFzEVWizZErsujJ8xXy73UW2Jnj1rZjladePY9kjXjoedHSGSI4slW+IiiM6G2OVA7AbWv3sHjY+3TmmFQT07Ycy0v+XSr/BiUwdVx0BTgEeshQ7boYpJriAx4iZm5ojlWCpFC+ZT5+4RS99URKdQ5C8SU4DF+42KyB0klrg91zDaKN6vmCp85cbtKJNLZ8mUQbav2PUh7Awu0RkUU4xFPRzTxy1ZqcixYG+XViZR/qVVE2zefVBuiR4+b1N866AKoLx8rRzpErkARNLKsKL6bLXdPoJqhFZM0SfSV+I778AJZRCoTpXQpSKUvAJBIcvCIIM38VkWps0AkHDmwhXFEqeQspAljlkyZ5B9FjHz8+rNO3KGjOhXqIjzrBi0EctxhNgcG1bXts1lf2nUZLF5QKBcamxmZhrn9yTqLZw8fxm1q4UusxZOnLssr8XSZBUxg1X0dcQOliJhcPnSxWVQQewwKpbci3KRJ0ick8Qs6/ByOGeRF9UAmtiRrO+IP3B+v3JXTU3nafc3byOUi9w5mqheRxCv0+SXvurXyZY1JG/ijPFD5XJrTVSBElX7aPrsxYYjumaUwija3buiE5v20Kd6EyWUoKBg/DFvkyL5fO5sGfFLM+XmO0kFZwJRkiPWxv8+sCc+eHzC/OXr1OXNG9SWOyqJ7brFCV9MNxZxFPdXb+WuFl0HjlYHU9r3HoY1m3fh2fOXsoMklhIdPR2ynv3Fz2nPkRGBBnHCnzF/mVz6FVZs6qCa2n3x6s0I27SLzlPYNdBhg1di1w2xNeytew/l40THUHQw2/QYLKeO16gSuia1SvnSsr027TwgHydmOYkcP0PGz8CLl29Qy6WColOpicgnJIJJ4bd8F5rUq6Geei62kReJu0WdRAev22+hOZvqVq8sr3sNmyB3qBL1cHvxCn2GT5L1EFOzI9vdJDqifZrVqykTGIrZQGLKcvhZQAlRh+xZMssOzsIV62XbixEvEbgRiTfF+w4rqs9Wk8RsH+Hqjdvy965MiSJxfg6ixPbw2Ws8DTPFWvyjXq5YHjZ8MpRQM4K0HQAS/l25QfYvxJbYHp+/YO6S1XKnLZH8uODPIH/dapXkufjXwWPlOUsE/EV+nO6DxsoZPKpzQmyPDatzm6aYOX6YXCLe7bfR8cp5J2bwiL6C2AFr8apN8pwn+k2rN+3EP8vXyoEisSws7DlQvNcTZy/hquttRWCkQuniOHj8jDyPhl0KJojnHv/nPPn+RI4dcZ4VP798804mbo5uZygR0BEbh4j+jsg5JNpfPOfqzbti8Dp3Fa8j6ixyIomEz+u37cXHT1/keVQMuF244iq3U1cFl8R7EgN/mj57TQOG2iZyJL58/VYG5OIqNu2hT/UmSigbdp/GnYcvFAO+YhmYSJKfFHEmECVJItHy4tWb5AlX7O4gTkz1a1aR5Ru275OjRuGpdp8QxMwNsetSeOKEVr+m5q3QVcRo2vB+3dFvZMiMK5ETRyU2dRB5gcTlwLHTyFG6lgz0lC5eCNv/C90dQZPv3z3l1rDioun5xXb2YQM4E4b3k9uUip1ExEVF1Hv0b70QEw1ru2Dcn3PlTCOxNbu6vJaLnHa+59AJ9Bg8TvEYEXxSadW4DjZs3ysDNWKkLfxJXiQ4jg+xJEz8PgybMFN+hi0a1dZwTPzqIHY9Ee0gtk2t2SJ0m1rxGYqcBWKHtug+2y3LQvM6JWTdonP87EWZ4yHsZ0Kk70vBalQsImdsUvIU3xlBuggAqfLmDJ0wQ15UxHlJ7KikmikxrF83mVvw+JmL8hKW2J2pe4eW6tuxOTa8Di0bwdTUFIPGTkPn/qOwYu7UOA0oiACQ2O1SvCfRFxCXsH7/rWeETTVE0GDBz4G6sMGeCmWKyy3rVceE9fX7dyxatVFewhNJnKObFS124xSznMP3d5rWq6HY8j4mryPaSWxAIvJHDps4ExCXcNo2qy+vRTJlkbpAzBIP/9nXr1FF7t6pS2LJm8gXKPJgit9B8f5O7lwt80rFVGzaQ5/qTZQQXr71wMI1yk1o2jeugvy5Qv8nSmo4E4iSJHEyGDukt5x1M33uYnX5nMm/4+8po+XSJJFUVyQGFnlyfmnVGKsX/Kk+bt2/s/BL6yZy2ZAYwRJTiF0qlMbGJbNRtULpaF9fbIUqtqjXJKZ1ECezhTPGy1k2og5yXXVg9MuHurRrLrduFduIi46HiECL9yF2tBA5k8In9xMBErHLlEh+LV5HjFaJJJO71izUuHV8ZEEK8V7EVuZhifewaNZE2bkVnVHx/CK4VLV8aSyfO1UxW2f94tno27WdDI6Iz08EN0RQZd/6xerp2HElEl+Kz0OMvpUtWUQurwovIerw59ghsjMp2lC0h+jsb185H6nDBALj8tkmZvuI/AYiQCVmsBHpKzG9+uDJ64oyLgWjuM4I0lUASLWT6LC+3ZA+nZ0cABDnJhF8CTtjRwxc7Vu/SA5YiOVe4pwhyrq2a47t/81T7OgZm2M1ETt3in/exbIkMUtZ00YRMSECSuJ9iLyMol8jlikXzp8b86ePxYBfO0Y4XhX4EXUVy8BUKv0sF+e58JtK9PylNSaPGij7NyLwZGlhgTw5smH0oF4yh090xPL+P8cNlQNi4vlF30uci0VgJ8rXsbSQS9PCv06lsiWxf+MS2edLZ2crn1N8rqKP8++siYr6i2Dc/yaOkMvkxefulCmDzDvZumk96FqvTq3lDGnRP1Pl9IluVpUmsWkPfao3UXz8+PEDUxdshq9f6ABE5gx26Nku4oBzUpLiB/+a9MrilavldY9OEU+oKvfv35fXefMqdxJKClTJ42KyFbr41VTtchTZ6I9YyiW35I7h1uqxJZ5fnOQ0rXMWJyRxSajXj03b6OI1Js5agK27D+HiwU0yAJKYRLtr+txVba5pm1DVfZF9XglVB03E64rf18jaVdXuKqpjY/Lc8W0fkez83qOnOLp1RbSfe1L+bokJ75+7qFhZaeefQYp5+19yfYg+Y0J3nHFMlxa7lv6e5HbbSG601WeJzdbxCRkAikufRZfbWEdVB9U/0FGdexL6PUTWR4tpuyZUvygm/cnEEpvX1vR+o2qD2PRTIusnRPX8fn5+6vQECSWyflx0v3tR9f8MtQ/DPot+tP+Rc7cx6W/lrMF/p/RGycJR51TVd+xdkd4SJzXxZR/VyS18vpyEJp4/sn9CRHlCvr54nsR8L/ElEmKLXctWrN+a6K8V2eeuanNNVPcl1D+N0f3uhX/tqD678J9tbJ47Pu0jchbtPHBMTuPX598tov3HlUvB6lYNSSRLFJsZQbqcAaTqs+hSVHVQ/TMf1bknod9DZH0kbfd3YtKf1IfX1tQuUbVVXN5T+H5CQj9/bF8/pr97UfX/iBKLx5fvmLNMmVOsSa0yST4AJPCviYhiRCR6vH1K+UVI+i13Dme43zjOABDpNV9ffxw9p0woWt9FmTCWKLocQboMABERkWH58eMHZi/djW+ePuoye9vUGNilIQwBh9mIKOZfGAm01Iq0IzGXShIllBMXb8PbJzRPSf6cTnB2Ss8GphjPCGIAiIiIEtKx87dx+vI9RdmIXs2QytrSIBqa/80RERGRzuw/EW4pmItyxyCi6AJBnAFEREQJ5fNXT8xZvkdRVrNiEbiUK2QwjcwgEBEREemEx+fvuHDtgfq2sZERaldO2B1myPADQVwCRkRECWXGou1yQwIVm9QpMbxXM4NqYAaBiIiISCcOnb6OoOBg9e2yxfPA1iYVPw2KcSCoaPY06Jn7EuaMaMYcQEREFC/Hz9/C4dM3FGXDejZF2jTWBtWyDAIRERGR3uwKRhRT5j++o0PGg3Ayfoz7azvA99s7Nh4REcXJ1+/emP6PchfkqmULolalogbXogwCERERkda5ub/D3cfu6tspLc1RtUxBfhIUIyLgc3lRc/h6PJW3vT48CbnNQBAREcXB7KU75bbwKqlSWmJk7+ZyoxVDwyAQERERad3e41cVt6uVLwwLCzN+EhTjAJAI/ITFQBAREcXFmct3sffYFUVZ/0515bbwhohBICIiItKq4OBgHDipXApWz6UEPwWKcwBIhYEgIiKKDU8vH0xdsEVRVqZoLtSubHjLwFQYBCIiIiKtunH3Gd68/6y+7WCXBsUL5uCnQPEKAKkwEERERDE1Z/luvPf4qr6d0soCw3o0NshlYCoMApHB8PcPkBcKFRgYmGzaxNfPT75fbcxgEK/148ePRH8tIkO1L9xSsDpVi8PYmF0Sin8ASFeBoKCgIJ2fG/ShDkmtjxeb51Wd/8V1UqSqv74RdRK/u0S6cOH6A+w4dFFR9lvXhnJwypCxx0V6yc/fX16iI07cqhNai64DUK1ZJ/mzCAaI8phcogociDqEPTYgIGZBBtEBi6yjIJ4jNp20uHbmxAm1Zstu+H3KbMRVVO2jraBLTF/TuXh1DJ80K9Hr4OnljSJVG2PJ6s2J/lpEhsjPPwBHzroqyrgUjOIaAEqZLgfKDzwkr3UZCFq2dqs8D925/zjRX0uf65BYarbsigYdeiX484btO0bnyKnzsn33Hj6JpBgMGzFpFmq36q7om0bVX44qMKMKOMYkeBNdP7bNr4PRY8j4WL4bovjz8vbFlPnK/nzpIrnQpFYZg29eBoFIL3XoPUyeaF+8ehPpMeLkU6hKQ1So306e0MzMzGBmairvm7VguXx8TC5jp8+N9DUKVW6kONapaFXkK18PzbsMwNHT5yN93NHTF+Txt+8/krffvv+I5eu2omW3gchWsnq0nTRxUl66dguqN+uMLEVdkKdcHXQbOBr3HsZsBFRYu3U3njx7gd96xqxzo6l9RT1/n/JXrO5LLNG9prmZGUxMTBK9HqlTWaNXpzaYvXAFPn/5luivR2RoTl++C08vX/Xt3NkzImfWDDqtEyXdAFCpnluROlMhea3rQBBRYhOBMBEQiy3Rf1y3bS+G9e0GI6PQf/+mz10Saf94+bptEQbBduw/ih5DxiF32TrymP827ND4eheuumLQ2GkoW6c1MhepivwVG8g+8MlzlyMcO6xfN+w9fAIXryoHB4gS2/xV+xRL0y0tzDCmfyuDXgamwiAQ6aV2zRrIkYONO/ZFesz+I6fw9Zsn2jStJ09oW5b/jWPbV8r7TExNZFAg7EX1Bx2+3DSawIF4XNhjP3/9hrOXrqF9r2HYse+IxsccOn4GGR0dUDh/Hnl70JipMnhx+sJVBAZGPWoiZgp16j8KY6bOwZ0HjxEQGIhv372w98hJOYoTE2Jk5u/Fq1G3RmVkzuiI5OD59WOYMW6oVl6rU5um8PL2wX8blB0kIor9UrB6VZkQmuIeALJInV7eFtcMBBFpNmfxKjims0O9GpU13h++bxwysGasOGbJ6k3oNXQ8dh04JvtAkfn67Tua/NIX67fthZv7KzlQ++nzF9kHbv3rIDnIGVaF0sWRP3cOzFkU0ocn0oart55g896zirL+nesjY3rbZPEBMAhEekkEL2xSp8LGHfsjnUa6Ycc+GaBp07R+hCmyQ/t0lUGBsJesmTPC1iZNhPJJIwdEWZcczk7qY91dT+Du2b0Y2jdkFGb15l0Rjhf1PXzyHGpWKa8uc0yfDp3bNMWmpX+hS9tmUb7e/GVrcPTUedimtcGi/02E27WjeH7tGFbOm478eXLGoPWAIyfP49Wbd2jRsHaUx0W2rl28B1VbBgWFrCEXF7E8Lqr7Yvs6mpZ4aTo2Jq8Z3fK06Nbwx6QeKuL3qHrlclizeRfXsRPFwtfv3jh75Z76tpFRCtSpUpxtSPEKAKnoWyAoprljYpNjJq75aFTL22ObU0gMTEV2XtZEHK+pPyCeN/wyJtXS+bjkgxGPjely+fjk8Emo/D9R1VW0l6Z0A+FzEMl2/fm+wy7biq4dPnz8hH2HT6JZg1qKWUBhXT60OUL/OHx/NZV1SjSuWx3/zpqIvyaPivT1RN+8bIki8pgL+zfC/cZx3Dq5Cz07tZb3z5i3NEJ/rUWj2jhx7jLcXryK8r0QJQRfX3/8MW+joqx4gexoUTf0fzdDxyAQ6SULc3N5snr5+i3OXFSOGguiXIwoVC5XEk4/Z7rEZl13fIgAwMBff5EnUk0dHdc7D/Dm3QfUdqmoLvvrj1GYPnYIKpcrBRNj5chKWOL5Fq/aJH9eNmcyGtepLtvCzMwUtatVlM8RE7sPH5ezliqVjTjCfuP2PfQb+QdKVG+GTIWroEClBhgy7k/F0qZrN+/Iqb6qZWWqqcHFXJpGeV9YYspw3Ta/wqlIVTgVdUG1pp2wfe/hCKNF4rETZy7A9Vv30KB9L2Qp5iKff+Qf/1N3GGPymppyAomO5bwlq1Gubhs5Hdm5eDW06DoQl67djFM9wqpWqQxevX2PazfvxugzISLg6LlbMpAbdu29vW1qNg3FOwCkL4Gg4B/B+N8/K1CwckN5jq3cqIPGHDJiuXuf4RORt1xdZCxUWS4/F7N9NS0zjs2xEeoTHIwx0+Yga7Fq+Gf5+hjlFBJL2ectXYPi1ZvJZfAHjp2W9+85dAJ1WqvO61XleV0M1oU1dvrfyF6yJr57eqnLbty+L583T/m6ivOp6N+J8u2RzKqOLKAhlsdnK1FdvqcOfYbLPld44tzcvvcwWRfxOZSs2QKz/lke41yGKzfuQOnaLeVjS9RojhXrYz/zNybtJYjPs9ewCRHKDx4/I9tHXAvivdy8+xAPn7gplm09fvYiynqIz0/MKq9WqWy8Al7dO7TEolkT0aRudVhbWUW5bH7HqgVo27Q+nLNkkkv109nbYuLw/ihcIA++fffE1++eiseIuolg1p7DJ6KsA1FC+GfNfrx846G+bW5mirEDWkcaJDVEyeedUpJcEiZs2B5xSdimnQfkyUqcYBJb2BEXbx9fPH/5GlP/XiRfv1KZiEEWcbJOaWWJCmViP7otOi1iuVmpooVQrmTROI9CXbjiinx5csgAUnid+/+OLbsPygCGGK3x+PRFBlba9Bis7hylSGEkpwILxsbGodODzc2ivE9FdLTElGERUBEdD/Ee7j58gt7DJ2rsSD198VIG8a7cuC3/QRQdhP82bMeUv/6Ntj5RGfD7FEyZswjPXrz8+Tn6y06nyOmkaV16dPUIq2SRgvL63OXr0XwaRKRy4ITy76WeS0k2DiVYAEgfAkGzF/6HmQuWyXOrOO+If9i7DxqjCASJoEX9tj2xbe9hfPn2XZ6LP3h8koGHJp36KpbaxOZYTQNLIn+LOI/N/mMkBvfuHMP3sEKe916/fa9eTi9eT7wPMZAkzuviHCnO6wNHT8Ff//6nfmzFMiXkAMz5MOdGcd4V524fH19cuxU6cKIa5BOPiQk/P3+06DZQLo8XCeb9AwJw5OQ5dBnwe4QEzo079pGzqr19fGT9xeChyBfZf9TkaF9n0cqNMsj24mVIXkoxs3rU5NlYt3UPYiqm7RUbqs8ibJoCcREzKqMi8vOI9lelKNCkedcBcrAsW8kaMnfPqfMR+0gJwdzUDA72dkibRhn8z5MjmwwesU9Fie3GnadYvysksK3Sp2NdOGW0T1aNn/hZVElr6naaCG8f/dv60crSHPtXxj7rf8F8uVAoX27sO3JS/jMuTg6CzBW0c588gYhlY4ntiZu7HGkJyzqlFQb26IhBvSJ2qA4eO42q5Uurgxax8dTNXV5XKF1MzqSZ9vci2QlxsLdFg1ouGDngVzkdNyoiUCU6O8UK5dN4f6miBdG6ST0UL1IAdmnTyPXaIjGgWON98PhZ1K9ZBcUL58eDC/vl+27fvAFmjB+meI6o7rv/+KkcBc2eNTOm/D4IZUoUkbOfLl2/JZMETp2zCK0a1UHKlKGjSKKj1q55Awzp3QWODva4eO0mugwYhXXb9mD8sL7R1ieyTs/WPYeQzs4WsyYMR+XypeDp6YX5y9Zi0aqNcte0M3vWKZK/RVePsCMEWZ0yyWvRwSei6D1zf4f7T0On+qe0NIdLuZBgKlFCBYDCB4I0PZ8qEBSb54upk+cuyWUwjWq5yH/+127dg8mzF2Lc9L9Rp1pF+c/4jPlLZSDHpWIZTB41EFkyZcTdh48xdPwM3Lr3UOZeUW3qEJtjw89wFfkFXe/cx4q50xRL1KMjluWI99CgZlXZ5xCzeopVaypzxIwf2hetGteV72Pn/qMYPfUv/G/hCtmvELkQRX4XcV49c/Eaav2cEX324lVZ/+u37uL0hStyqZAgjsmZLYs838bEg8fPUKZ4YRzdugJ5cmaTM6R6DB4nAy237z2S/UYR+BoybrqcQf3nuKEyB47oPz586obRU+bIWUdd2zVHqWKFNL6GeK9/zlsKSwtzTB0zOMLnGBPiOf743z8xaq/YeHrlMGq16iaDYSd3ro7x40Q/xd7WRg5QRubR0+fycxOBOjHTXnw2syYMU6dcSAgnzl7C5Ru35Kz28DMuxGtnyZSBfSpKVD6+fpj490bFEsrCebOiTcNKya7lORPIgIgAkJceXuITmGrbrL78gxUnThUxSvDc/bVcLhaXQEtY4ddVa8orE3bERbX7mNgh4djpi3JWUFjur9/KkR5Vxye2VCN64mTce9gE+T6Fdx88sGztFjlSE9029SL5nhB+lEVlyV9/yKVl6ezSyhk6ohMyc/wwuXzs/JX4z2rZue+obNc5k39HuVJF5QiVmB5fsmgBjP6tp+wciYBQWAXy5MT/Jo5ApgzpZUepfKliaN24njxWzFiKC9X09cm/D5TvV3To5HTkEf3lqKMI7oUP4MSmHqIzJX4nxGgvEcXgb/LkDcXt6hWLyL9LooQOAOlyRpDYPVLMUhYDHTZpUqNv13Zo3qCWPIeodgwVAy72dmmxdPYfyOGcBaamJihSIC+W/vWHDBwcOBay/Ce2x6q8fvcejX/pK89xW5fPjVUASOjdua18D6pBJzFjR/R7OrVuil87tkKa1KnkYFj7Fg3Rp2t7ueGFGEQR0tqkludS1Swf0We5eO0WKpctKQNEZy6ElHt5ecsAlSiLKXHOXfb3FBTIm0suMcqe1UkdAHvw5Jm8PnfpuuwzDe7dBc0a1ISFhbmcMeTslAlzpoTMGDp2+kKkryHqLWYPafoco8uzGPY5Ytpe2iD6heI9aCJyVoqBsiuHt+Cl6wlcOrQZvbu0lf248TPmy0HYhCBmuv86eCxaNqojc2RqIn53PH72YYkSw/yV++D+5qP6trmZCcYNaA1j4+QXEkl+75iSFNFxsjA3w/rte9VlquVh7ZrFf3RC5O8JvyWmmBUTWWLoFzeO48mlQzJh82O3F2jfe6hifbtYCiaCBzWqlItTfSwsQoJa+46ewpjBvfHg/H6ZUG/f+sVy1OvmnQfYdfBYlM+hmtkSWaJAkQ+nXa+hMrdASJ6c6shTrq4c6Xr/8RPiS7SL0Khjnwhtq1rz/ua9cv1+iaIFI2zHKAIxgpe3d5zq4f7qrbyuUq5UhPuqVigtr8UoYnzqIdo4GewiSRRvgUFBOHhaGQRqWD3i3yYlX3e3j9AYABKKtFsY5xk74nHi8ZqI1xOvm5AqaFjapFoeLs5LIvgh/ikvUbiAYkasaoZptixO6nNTbI4Nq9fQCXj87Dm2rpgrZ9LGlhgA0Xw+jbh800XD+VS833uPnsp/6EVOPxFUqVimuLyIYIAY8Dp/1VUGQ2K6FEzIljUz7G3TRnmOfvKzDyJm4oTvg5Sq2UJjH0TTe9X0OWrKsxjVc8S0vRJdihSR9gm7t2+BDi0byZ1kRf9VzMZRzV4SgSwxqzq+RNBN5GNsUKsq/v4ZiNMkOPgHUoCdKkocV249xsY9yqB574714OyUsLNBkwoGgQyIWHaVUg8vol5xJUZP6tWoIjsNYkRLnJDEunqRWE6MBMWXmKUS2y3jRUdMJGwWoxliqVbYJMNia/iScpmVTZzqo+rMiA6YGHUS71+MdolOnEioJ4jp1FERI4aCyC0U3s27D9Cq+yB5Qha5BcR0XNX7FjQlQI4rTduNqi4/gpWdEfOfM6w0B7Pi9vqq4EyQhpxKqjxL4QM+samH6JyL0UW7n+1NRJG7eP0hPn0JHVHO5GiHovmzsclILX/TPzXO2BFc1/WO84wd8TjxeE3E64nXTUg/fmg45/xMhi7PJz/PKZrOTfLY4KDQwYXYHBtGm6b15D/UIq9PVDt3RkbszhrT82mQhvOpCOyIoMPZS9fksiI7Wxvky51DlosBp4tXXeVsGfGY8qWVAaeoiCVeMT1Hi5nbkfVB4vo5RvY5RKxT7NrLSAZpIh4rlmYlBBE4+/L1e6weo0opoJpdHlcij9Iv/UbImf2zJ42MMvHul6/fYG8Xt/4zUVS8vH0xaY5yN7Ai+ZzRNhkuA1NhTiADEpe8O0mBOHGIhIhiBpBYOy5GlBIqIbRIkidm+MSFatnYx58nSLFk6PzlGxg5sEec61O0YD45EqNp9woRcBCMjSLfXUwQHRyRj+fZ85cR7hPtKDpg4kQs1smrpgeLUbl85espjjVKYaQewQ8vqvtyOmeR1/s3LI7xlvYxEdVraiKmfgsi4CUCdmGppoKrjonPjKd8uTT/00JEofYcVSYZbVCtZIQgLCVviZHDJzGWmEXn+JlLqFRWOQPk+NmL8jpr5oxyKbHIVXf1xm2Zt0cM9qiIXZ7c3F+jaMG8IXWMxbHhN9YQ5b+NmYbO/UZixbxpGjeKiClVDjxx7qxbXZmLUbWsKez5VGxsIZaqiaVfD58+V+cJEsu3Mjk64PTFqzh36Rry584R50GzyIglc4JY+h1+i/OYcHbKGOnnKHLaJEZ7icE71fL/sDQlSRZ9IZF4Ozby5c4u80eJfmp0eSVVVDOA0tnbIa5EgnSRI3LArx3x+289ozxWvCeRozI2M8OIYmruf3vw+v0nxW5gE35rmyyXgakk33dOSYY4IWTJnEHuaLVmyy65PKxZ/Zpae/2weYNEfiKxU8fqTTuxZddBeb9YpiUcPX1BBljCbg0f9uSmeg7VKJAI6qjKVERnqEblcjIhsUwK/eqN3AJWdDzGTZ8rjylbMiShYlTETKL7j5/JJNFhqQJIgUGBMpgiRl0u/Ux+rAoyhR1xs7K0xFXXOzLXkainakQxqvuaN6wtA1kiIaXYEl4kqRZrykXCaLGsTyQ1DPueYyqq19REzCATRLuJBNEfPD7LaeJDx/8pOzd5c2WXQcW4Um0Nr9rFjYg0++bpjZMX7yjK6lfjrmCUuDl8dBEAEpau2Sx3lxJ9BXEOF+dysVW4+Ke/QN6QgRExCCNm63YeMEruoinO82LGTNeBv8v+gtigQSU2x4YllvPMnzYGpy5cRcc+wyP0B2JDBHHSpLaWyZHFzlbiHCx2Dvv3vw3yvYrBp7B5h0T+G5G36NiZi7jmekcuA1M/V5kSOHD0NG7ff5wo//CLuopZ1ZP+94+snzjviz6I24tXOHjsDH7pO0K2X6SPL1NCBko0fY5h81MmZHvlzuGMOw8eY8HydbKvIl5PPG7dttBUCCpp06SSy81u3L4vP1PRF4psqVfYPqGYAe16+76i/NOXr3IXtZ0Hjsp2EoFGkWBb9JPEe02Tylom4tbUH1YNVobt36pmWYuyweOmywDQoJ6d5K504fNvhq+zSPotBiTZp6KEduH6A2zdr8zB1b9z/WS3G1h4nAlEek+MHrVpUl/ukPH+o4fMExR2NEwXu4OpiBkm+XJlVy8FEzNwNAUW/lm+Tm5VHla9tqEzhm6e2AmHdCGjLWLZ1+Ubt/H34tXyEpbYXaNOteinLjaqUw1rtuzGibMX1cEQoW6NSli8ehOGT5wlLyo1qpSHrU2aCM8jEjuLUSvVOnpxzN2ze6O8T7z/SSMGYMy0OXJLeE3iOgMgqvqEJ5bQ/dK6CVZt3IG+IyYp7hOBxD/HDkF8HD55DlmdMka6CxsRhTh0+gb8wyS0L1EoBzKmt2XzUKLNCNJVAEgQQZnxM+bJi4oYGJk6epD63DesXze5jbmYPVy3za+Kx4vgidi9SiU2x4YnNtAwMTVBn+ETZQ7DNf/MjHKHqMiIx4jdPsX26mLnLHEJ64+RA+TGC2GJwI+qDxM22CPKN+3cr8iVlJDEgNE/f45D+97DMGHmfHkJ79eOLaN8ryInztAJMyJ8jmIAUsyoTuj2Esmj9x05JfMYiYsgfldaN6mrzoOpUq5UMRw/ewl1WndXl53evRa5smeNtD61qlaQSfgPnzqHiuHyGolBR3EJT/zOThs7RAb0VMSgoUg4Hta4P+fKi7Bk9h9oWNsFT5+/lMvAhL8WrZSX8I5sWSF3cwvbpxJLxUTeIKKE4unlgz/mblKUiT5Iq/oVkn0jcyYQJQniRChOYGL0pG2zBhqPMQuze5fm+01hbh673cTCryMXwQOx61apooXk1qNzJo+Sx4kRETHtN7JdwYxNjKPMkRM2KOKcJZNcSiWCXWLbVHECFmvpRw/qhVXz/4xRAEVMYRYJrcXsqbBKFimIZXMmywCJWPPvlCmD3AVCnLhF24hdR8IS23iKoJNYzy/ee9j2i+q+bu2bY9t/8+QIpngPYntW8R7aN2+Iw1uWq9fkq3ZeE53UCG1mHNJmYq18TF5TPk+4fE4i0CM+J5FDSozsiSnXok571i6SW9erxLYeHz5+wqnzl9GxZWMuaSGKxt6jVyIsBSNKrBlBugoAqc4V/bq1x4Rh/eSgkDj3if7Cun9noVqlsoocLfvXL0an1k3keVic58U5u3/3Dti2Yq5i6VZsjlWfr4xCz1eNalfD4v9NkhtLiFm/Uc0I0vR4FbEz1obFs1G5XEnZDxJ9iLIli2LF3KkyiBFepbKl5HOJGVBiGVhoeUl5/hYze2Mz60Ms3zA3NYs0t6OJcehSeXF+F0GGji0bydcXbSY+j/o1qmD1PzMUQSlNfUeRKPnfmRNQKF9u2XcQM4fnTRuD5g1DdqWNyRKS2LSXaAfx/GJmuXi9wvlzy+PqVa8c8nph8uiIx4rdtcSyOlW/WNPnFZZY+t+4bnVs33tEsZRMDKTtW79IzhoTQSTRTmIWVdN6NbB33SI0rlMtXFuH5pHUdFG1i6Z8m+Ev4ess+qtiJrxIUE2UUP5atgvvPobmtbK0MJO7gRlFkZsquUjxI7o5hKRVi1eGjJr06NQx0mPu3w+Zzpk3b8R14PpOdfIRHQ1DIta9t+g2ENtXztebqazihPrbmKk4vWut3FHDkNtf28S0cDHN+8L+jYpRsujoe/sn5e+WmPD+uXuMlVXMPzOKH7eX79Gid2jiXUtzMxxcPSFeGwZQ8umzxDagk9ABIH3/zjZ0bP+E8/S5O6o06oi/Jo+K8Vb32mr/o6fPo0Pv4di/YYnGHFfJtQ/DPkv8nLlyD79NVM7CG9mnOVrUDV2KmZzbn2EwogQg1r2nT2eH0sUK6U17iplEItH0/GVrdV0VgyLyKImldiP6dY9VAIgoOdp7TDkLqHKZ/AwAUaLMCNLlEjAifSdmY3Vt31zmHVLl7tEX85askekV4hMAIgqfi3DKPOUysNJFc6F5nXJsqJ+YE4goAYwb2kde9IlY4rRn7b+6robBEdOq75wOWetORJELCgqOEASqWyXm20ETxTRHUJF2C+U28AwAEUVO5JzURztWLdB1FcjAzFq8Ax8+fVPfTmllgXH9WzOFQxicCUREREQJ7rLrI7z3+Kq+7ZjOBkXzO7OlKcFnBJ37uxYDQEREhBMXbmPf8auKlhjcvREcHdKydcJgEIiIiIgS3J5jlxW3a1cuymSMlCiBIE24BIyIKHn58s0L0xZsUZSVL5EXjWqU1lmd9BWDQERERJTg27IeP39LUVanMpeCkXYCQQwAERElPzMWbYPHl+/q26lSWmJM/1ZcBqYBg0BERESUoI6ccYWff6D6dtH82ZDJ0ZatTIkeCGIAiIgo+Tly1hWHTt1QlA3t0QQOdml0Vid9xiAQERERJajdR5VLwRpUL8UWpkQPBDEARESU/Hz8/C3CMrDKZQqgnksJndVJ3zEIlAQZGRnhx48fCAoK0nVViMhAiO8T8b0ivl+I4sPN/R1c77mpb5ubmaJGxSJs1GQqsfos4QNBDAARJV+BgYHye0bsjEvJi/jcp8zbjK/fvdVlaVJZ4fe+Lfj7EAX29pMgc3Nzef3q1SsGgogo3sQ/Z+L7JOz3C1Fc7TxySXG7eoXCsLayYIMmU4nZZ1EFghwK1JbX4jYRJR/BwcHw8fHBy5cv5W1ra2tdV4m0bOfhSzh9+a6ibETvZrBPm5qfRRRMorqT9FOGDBnw4sULeHl54eHDh0kqyimitUJSqrMhYfuz/aP6vTA1NZXfL0RxFRgYhH3HlFuzNq5Zhg2ajGmjz2JVZiTcXn8GxCUB8ZypW2x/tn9Mf0cEExMT2Nvb67jVSJtevvXA7KU7FWW1KxdDrUrciCI6nAmUBJmZmSFLliywsrKCsbExkhLxZR32C5vY/smJvv7+i+8R8X0ivlfE9wtRXJ25ck+xM0fmDHYoXjA7GzQZY5+FDO2cmVwkhfYX/Rcx21AEf3LkyMHZzMlIUFAwJs7ZAG8fP3VZOtvUchYQRY8zgZJwpypr1qxIary9Q9Zrin84ie2f3PD3nwzdrnBLwRrVKM2Zn8Q+C8UJz5m6xfYnfbZ250lcv/NUUTZ+YBuktub/mDHBmUBEREQUbx8/fcPZy/dCOxhGKbgrGBERESWox25vsHD1fkVZy/oVULZ4HrZ0DDEIRERERPG29/gVBAUHq2+XK54XDnZp2LJERESUIPwDAjFu9joEBIZuNJAloz0GdK7PFo4Fg14OJnahOH3hCq7duosvX78hnZ0typYsilJFC2k83vXOfZw8dwkfPT7B2jolShcrjCrlI5/KHtvjiYiIDJHIGyF26Aircc3SOqsPERERGZ4l6w/h4bPXilnHkwa3g6UFd7eNDYMNAomgz+TZ/+DZi5AtA1VOnL2I1o3roVWTeoryDdv3YvMu5bSyi1ddcenaTQzt2w1GRkbxOp6IiMhQud59hhevPqhvp01jjUql8uu0TkRERGQ4XO89w8qtxxRlXVpWR8E8SS9Prq4ZZBBITEef9vciGQBydEiHRnWqIXMGR3zz9MTp81fg4xeaRVy4/+ipDOiIrQVbNKyN/Llz4vW791i/bQ8uXnPFoRNnUKda5TgfT0REZMh2hksIXc+lBExNDbKLQURERFomdgEb/9d6BAeH7liXN0dmdG9dk59FHBhkD00s0Xr87DkyOqbH9LFDkdLKUn1fuZLF4BsuCLTvyAl53bFlYzSo5SJ/LpA3lwwcjZn2F/YePqEI6sT2eCIiIkPl5e2LI2dcI+wKRkRERJQQ5izfjZdvPNS3zUxNMGlwWw44xZFBrlk6eTZkRLJdswaKAJCKhbl5hNw+JsbGqFGlvKI8X+4ccHbKhNdv3+P9R484H09ERGSoDp9xhY+vv/p2wTxZkCOro07rRERERIbh7JV72HbgvKKs7y/1kD0L+xpxZXAzgYKDg/H4mZsM0hQvXACHT56VuXoCg4JkgKa2SyVkSJ9OffzXb9/h6eWNrE6ZIgSHhJzZssLN/RVevXkHB3u7WB9PRERkyHYdvqi43bhmGZ3VhYiIiAzHl29emDR3o6KsRKEcaNuoks7qZAgMLgjk7eMLXz9/ZM7oiCVrNuL4mdDO6a27D3Dw+GkM7/crihUKSVj53ctLXtukTqXx+WzSpJbXnp5ecTo+MqMmz9JYbpwiSC4r8/b2hiHy8fHRdRWSNbY/2z854+9/wnN7+R437z9X37YwN0XFErk1nsP0pf2trKx0XQUiIiKKwc6j0//ZCo/P39VlKS3NMeG3NtyEKZ4MLggUEBgor8VyrPcfPNCsQS0UzJsLvr7+OHr6HK663sHcxauwcNZEOZMnOChYHh/Zbl7GP8vFTCIhtscTEREZqn0nriluVy1bECmtLHRWHyIiIjIMB09ex5GzypyDQ3s0QQYHW53VyVAYXBDI0iJkiZa/fwC6tW+BejWqqu8rXbwwxk6fg3sPn8hZQaWKFYbFz+N9fH01Pp/Xz5FL1XGxPT4y08YM1Vi+eOXqZDFSaejvT9+x/dn+yRl//xNGYGAQDp1Wds6a1y0fbfuy/YmIiCgqb95/wrSFWyMMNDWoXooNlwAMLjG0mN2TOpW1/LlowZAlXyopUqRQLwP74PFJXtva2MDY2Ahv3n3Q+Hxv3r2X16r8PrE9noiIyBCdvnwXn754qm9nyWiPovmz6bRORERElLQFBQVj3Oz1cvdRlbRprPF73xby/3mKP4MLAgm5czjL689fvka479PnkDILi5Dp6iYmxnB2yiwTPj984qY41svbB3cePIaFuRmcMmWI0/FERESGaPuBCxG2hWfnjIiIiOJj9bbjuH7nqaJs3IDWsLXRnJOXYs8gg0CVy5WW16s27YDH5y/q8hu37+HY6fMwSpEC+XPnVJdXLFtCXi9ZvVEGd4SAgAAsXrUBvr5+KFOiKMxMTeN8PBERkSF5/e4Tzl9/oL4tZsg2qMEp2kRERBR39x67Y+HaA4qyFnXLo1Jp5Qofih+DywkklC9VDIdP5Matew/RZ/gEODrYw9fPDx89Psv769WoIstUxLbxR0+dx9Pn7ug1bBwyOaaXy8XEVvDWKa3Qpml9xfPH9ngiIiJDsuvwJblrh0rl0gVgnzZkd0wiIiKi2BIbOY2ZtVYuB1PJmikdfuvakI2ZwAxyJpCYjj68/6+oVqmcvP3y9VsZALKytETrJvXRpW1zxfHmZmYYN7QfihcugICAQDx78VIGdLJlyYzxQ/tHyO8T2+OJiIgMhdj9cufhi4qyZnXK6qw+RERElPT9tXwXnr/6oJhlPHloe1hYmOm0XobIIGcCCSLg07dre3Rp20xuFW9sbIyMjg7yWhO7tDYYPai3XN4llpClsk6JdHaRbz8X2+OJiIgMwdkr9/Dh0zf17QwOaVGmaG6d1omIiIiSrlOX7mDr/vOKst7t6yBfTied1cmQGWwQKGwwyDlL5hgfnyZ1KnlJrOOJiIgMKSF041plYGRkkBOLiYiIKJF5fP6OP+ZuUpQVL5AdHZu5sO0TCXttREREFCNvP3zGuWv31beNjYzkrmBEREREsSXyC06auxGfv3qqy6xTWmDS4HZyORglDrYsERERxciuI5cQHByaELpiqXxwsEvD1iMiIqJY27LvnFxmHtbIXs3h6JCWrZmIGAQiIiKiaIndOnYeuqQoa1qbCaGJiIgo9p65v8Oc5bsUZXWqFEOdqsXZnImMQSAiIiKK1vnrD/Du4xf17fT2aVCueF62HBEREcWK2GFbbAfv5x+oLnNMlxYjeil38abEwSAQERERRWv7gfMREkJzvT4RERHF1r9rD+DB01fq2ylSpMCkwW2RytqSjakFDAIRERFRlN57fMWZy6Fr9o2MUjAhNBEREcXalVuPsWrbCUVZ5xbVULxgDramljAIRERERNEmhA4KDlbfLl88r5y2TURERBRT3zy9MX72erkrmEreHJnRo20tNqIWMQhEREREkQoOFgmhLyrKmtZhQmgiIiKKORH4mTp/iyK/oLmZKSYPaQdTUxM2pRYxCERERESRunjjId68/6y+nc42NSqUzMcWIyIiohjbefgSjpx1VZQN6t4Izk7p2YpaxiAQERERRWrbgQuK241qloaJsTFbjIiIiGLEzf0dZi3eoSirXKYAmtcpxxbUAQaBiIiIKNKE0Kcu3lHs3tG4Zhm2FhEREcWIf0Agfp+1Br5+/opZxeP6t5L9CtI+BoGIiIhIox2HLigTQpfIi4zpbdlaREREFCPz/tuLh09fq2+LwM8fQ9rDJo01W1BHGAQiIiKiCAKDgrDjoDIhdIu65dlSREREFCNnrtzD+l2nImwHX7JwTragDjEIRERERBGcvnRXLgdTEVvCi5lARERERNH5+OkbJs7ZoCgrmCcLerarzcbTMQaBiIiIKIIt+84pbjetXRbGxuw2EBERUdSCg4Mx/q/1+PzVU12W0soCU4Z2gIkJN5fQNfbmiIiISOHF6w9ya3gVEfxpXKs0W4mIiIiitXbHSUU/QhjVpzkyOdqx9fQAg0BERESksG3/ecXtauUKwT5tarYSERERRenuI3fMX7VPUdagWknUqVKcLacnGAQiIiIiNV+/AOw+elnRIs3rMSE0ERERRc3L2xejZ65BUFDozqJZMtpjWM+mbDo9YqLrChAREZH+OHLWFV+/e6tvZ3NKjxIFc+i0TslVYGAQ7jx4iJev3+G7pxds06ZB0YL54WBvG+PnePz0Oc5fvaHxPhNjY7Rt1iABa0xERMnZzEXb4f7mo/q2yP8zZVgHmQ+I9AeDQERERKS2NVxC6OZ1yiFFihRsIS07cfYiVm7cjm/fQ5NqCkYpUqBJ/Zpo37xRjJ7Hzf0Vduw7rPE+UxMTBoGIiChBHDhxDXuOXVGU9e1YF/lyOrGF9QyDQERERCQ9ePoKtx48V7eGhbkZ6lcrydbRgUdPn8PPzx/FCxdA5gzpYWJqgmfPX+LG7XvYtucQMjikQ7VK5WL8fJXLloJT5gyKMmMjZgUgIqL4e/nWA9P+2aIoK1ssN9o3qcLm1UMMAhEREZHGbeFrVy6KVNaWbB0dqF6pHDq0aARLS+UU+n1HTmLZ2s04c/FqrIJApYsXRrlSxRKhpkRElNyXLo+ZtQZePn7qMlsba0wY1BZGHGzQSxwCIiIiInh6++LAyWuKlmjBhNA6k93ZKUIASChVrJC89vcP0EGtiIiIlP5Zsx+3H7xQlI0f2Ia7iuoxzgQiIiIi7Dt+BT6+/uqWyJ/Liev49dDl67fkdd5c2WP1uGcvXuL1u/cIDg6Go0M6FC+cHymtrBKplkRElBycvXIPq7YeV5S1bVQZFUrm01mdKHoMAhERESVzP378wJZ95xVlnAWkHy5ec8XDJ27w9/fHc/dXuPPgMfLkyIam9WvF6nm27jmouG1hYY5u7VrEaEnZqMmzNJYbpwhC5gyO8PYO3U3OkPj4+Oi6Cska25/tn5wlhd//D5++YdzsdYqyPNkzolsrlyR/XvDRk/a3SqTBGgaBiIiIkrkbd5/h6Yu36tupUlqiVsWiOq0Thbhx6y4OnTirbo4czk7o3aUdUlrFPFeTOLZowXzI4OgALy9v3L7/CO6v3uCfFetgkya1TD5NREQUU4FBQZg0dzO+fg8N9lhZmmPCwNYwM2WIQd/xEyIiIkrmNu4+o7jdoHopWFiY6aw+FKp08SJIZ28ndwp7/fY9rrjewrAJf2JQ7y4oU7xItE1VMF8uLJr1hyK/kJj5tW7bbrnL2PZ9h6MNAk0bM1Rj+eKVqxN1pFJfGPr703dsf7Z/cqavv/+L1h6A6z03RdnY/q2QK3tmGBIrPW3/JBcE+vbdE5eu38Jz99f4+OkzAgICYGdrA8d09ihZrBCcMjpqu0pERETJ1nuPrzh+PiTPjErL+uV1Vh9SKlYov7yovHz9FsMnzsDiVRtjFAQS+X/CS5EiBVo1qovdB47B7cVLNjkREcXYZddHWLrxiKKsae2yqFmJM4iTCq0EgTy9vLFt7yGs37YXrnceyKSEkcmc0RFN6laX26I6Z8mkjeoRERElW9v2n0dQmPNy+eJ5kSVjxMAB6QfRT8qUIT2ePnfH12/fkSZ1qjg9z4+fM4JEQIiIiCgmPD5/x5j/rZXnD5UcWR0x5NcmbMAkxCSxgz8Llq3F4tWb4OXto+68FCuUDxnTO8AmTSqYmJjgy9dv8Pj8BbfuPsSDJ88wf9laLFi+DnWqVcToQb2RM1uWxKwmERFRsuQfEIhtB5UJoVs1qKCz+lCoS9duomTRgjAyMlI0y72HT/Di5WuYmZnCKgZ5gS5fv4niRQrCOMzzBAUFYdXG7TKnQ76sTmx2IiKKlpjIIRJBi0CQioW5GaaP+AUW5qZswSQk0YJAN27fR4c+w/DR47MM+jRvUAsNa7sgfTr7KB/n7eOL42cuyl0sjp66gMMnz2HMoN7o1blNYlWViIgoWTp61hWfvniqb2dytEP5Enl1WicKMXPBUtiltUF2ZyfY26aFv3+AXAp2//FTOQJbt2oFmJqEduPEDmJiJ7H8uXOiRJHQHD//+2e5nC2UwzkL7O3ShiSGfvBI9s+MUqSI9S5jRESUPK3cehwXbzxUlI3s3QzZnNLrrE6kZ0EgN/dXKJgnF4b164oSRQrG+HFWlhaoX7OKvLz78BHzlq7BvUdPE6uaREREydamPaG7Tgkt61eIMPOEdKNcqWK4eNVVXsIyMTZG7WqV8EurporyZy/csWPfYQQHBSmCQGVLFsX5KzdkgCgsERjq3qElihRg0I+IiKJ2485T/LvmgKKsfrWSciMJSnoSLQhUv0YVmdsnPsSsocmjfkNAQGCC1YuIiIiAu4/ccevBc8WU7kY12JnTF4N7dZGbaYhl8u8/eMiydHa2yJc7B1JZp4xwfO4c2dC+RSPkyu6sKP+tZ2d0afsdD588w7sPHjA2NkKmDI7yecLOJCIiItLkyzcvjJ61RpE/MGumdBjRqxkbLIlKtLO/qamJXj4XERERiVlAym3h61YtjtTWhrkValKVOpU1ShUtFKNjs2XJLC+aiFk/pYoVTuDaERGRoRPLjyfO2YB3H7+qy8xMTWQeICtLc53WjeJOr+Z8i3XqUe0cRkRERPH3+asnDp2+oShrVZ8JoYmIiCjUup2ncPryXUWTiJ3AcmXLyGZKwrQeBLp+6x7mLVmNMxevqctEosM6rX9FjtK1UNSlKU6dv6ztahERESUbOw5dlDuDqRQvkJ0dOiIiIlK7/fAF5q3cq2iRmhWLoFmdsmylJE7rQaBx0+diypxFiuljwyfNwq17D2FrkwbvP3qgx+Bx8PH103bViIiIDJ7YFnzLvnOKslYNK+qsPkRERKRfvnl6Y/SM1QgMDFLsIDq6X0ukSJFCp3WjJBYEEjN+Lt+4haxOGVG8cMjOFR88PuPE2UuYM3kUbp3aheKF8+PLt+/Yc+i4NqtGRESULJy6eAfvPn5R33awS4OqZWK+iycREREZdh6gCXM24NW7T+oyExNjTBveEdYpLXVaN0qCQSA399fyOnuYxIVXbtyS2502rO0C45/Xwn1uC09ERJTgNu1VbgvfrG452bkjIiIiWr39hBwwCmtglwbIn8uJjWMgtBoE8vTyktdmZmbqstv3HyFPzmywMA9ZHmaX1kY9Q4iIiIgSzpPnb3Hl5mP1bVMTYzSrzbX9REREBFy/8xQLVu5TNEW18oXRpmElNo8B0WoQKH06e3n99Lm7uuzCFVcUzp9HfVsV/LGzDQkGERERUcLYtFe5LXyNikVha5OKzUtERJTMffryHb/PWI2gMLt1O2Wwx7gBrZgHyMCYaPPF8ubKjrRpUuPR0+eYs2gl0tnZ4vyVG+jcpqn6mOfur+R1jqycbkZERJRQvn73xp6jVxRlrRtwW3giIqLkLigoGGNmrcWHT9/UZWamJpg+8hfmATJAWg0CWVqYo0/Xdpjy17+YPneJLCuYNxfq1agsfw4KCsLB42dkbqDaLtyphIiIKKHsOHQBfv4B6tsF82RBwTxZ2cBERETJ3NINh3DJ9ZGibHjPpsiTPZPO6kQGEgQS+nfvgOxZnXD20jVkdHRAp9ZNZNBHcHN/hWKF8iNntixIZ2+r7aoREREZJLHF66Y9yqVgXN9PREREF649wNKNRxQNUb9aSTSuVYaNY6C0HgQS6tesIi/h5XDOgv/mTdNFlYiIiAzW8fO38O7jV/XtdLapUaNCEZ3WiYiIiHTr3ccvGPO/tXJbeJXsWRwxsncz5gEyYFpNDE1ERETat37XKcXtVg0qclt4IiKiZD5LeNSM1fjyLWQHb8HK0hwzRv4i07iQ4dLJTKBnz19i297DePTUDV7ePgiNO4YqW6II+nVrr4PaERERGY7bD1/g5v3n6tvmZiZoym3hiYiIkrV5K/fi5j03Rdnofi3h7JReZ3UiAw0Cbd97GANHT4V/QGhySk1SWllqrU5ERESGakO4WUD1XErCJnVKndWHiIiIdL9MfO2Ok4qylvXKo3blYjqrExloEMjTyxvDJ82SAaDK5Uqie/sWyODogBRIEeHYNGlSabNqREREBue9x1ccPuOqKGvbqJLO6kNERES69fLNR0yYs0FRlj+nEwZ1b6yzOpEBB4Gu3byD755ecHSwx6oFf8LCnGsNiYiIEsvmvWcRFBSsvl22WG6Z8JGIiIiSHz//AIyYvgpe3r7qslQpLTFtREeYmeokUwwZemJokf9HKJQvNwNAREREicjXLwDbDpxXlLVtVJltTkRElEzNWrwDD56+UpRNHNwWmRztdFYnMvAgkHOWzPL667fv2nxZIiKiZOfAiav4+t1bfTtLpnQoVzyPTutEREREurHz8EVsP3hBUfZLcxdULl2AH0kyo9UgUL5c2VG6WCHcvPsAr9680+ZLExERJRs/fvzAul2nFWVtG1aCkZFWT/tERESkB+49dsefC7cpyooVyI4+HevqrE6kO1pf+PfPjPFo23MIugwYheljh6Jw/twwMUnYaly+fhNb9xzSeJ+pqQn+GPmbxvtc79zHyXOX8NHjE6ytU6J0scKoUr40UqRIkSDHExERacMl10d4+uKtYr1//Wol2fhERETJzJdvXhg+bSX8AwLVZXZpU2Ha8I4wMTbWad0oGQSBdh08hv4jJyM4OBgBgYGo17YHjI2NNf7yNazjgvnTxsbpdb5+88Sjp24a7zONJOC0YftebN61X1F28aorLl27iaF9u0UYPY3t8URERNqyfqdyW/gmtcvAypKbMSSEC1ddMX/ZWpQtUQT9urWP8zFERESJTWwOMfZ/a/Hm/Wd1mbGxEf4c8QvsbVPzA0imtBoEEsGelFaWMTrWwsws3q/XvnlDFMyXW1GmaZbO/UdPZUBHzEhq0bA28ufOidfv3mP9tj24eM0Vh06cQZ1qleN8PBERkba4vXyPM1fuqW8bGxmhdf2K/AASyNt3H3Dk5Lko+zMxOYaIiCixLV5/EOevPVCUDeraCEULZGfjJ2NaDQLVq1FFXrQlQ3oH5M6RLdrj9h05Ia87tmyMBrVc5M8F8uZC5gyOGDPtL+w9fEIR1Int8URERNqyLtwsoKrlCsLRIS0/AC3yDwiIcvYxERFRYjt16Q6WbTyiKKtduRhaN+TAUHLHNUs/c/uIWUo1qpRXNE6+3Dng7JQJr9++x/uPHnE+noiISBs+f/XE3mOXFWUdmlRl42vZjdv35bW9HYNvRESkfe6vP2Lc7HWKshxZHTGmf0vmryXtJ4bWplMXLuPwybMyB5GjQzqUK1UMRQrkVRwjtqv39PJGVqdMsDCPmC8hZ7ascHN/JXczc7C3i/XxRERE2rJ531n4+YcmfiyczxmF8mblBxBPx89cxOTZC+XPX797yusTZy+ierPOEY79/PWbHAwSqpYvzbYnIiKt8vX1x7Bp/8HTy1ddltLKAjN/7wxLC+YHJB0FgYKCgrBz/1HsPXwST567IyAgQAZpKpcriV9aNUFam4RJUiWSNKvcuvdQBoSqViiDvl3bqxM3f/fyktc2qVNpfA6bNCF18fT0itPxkRk1eZbGcuMUQXJZmbe3NwyRj4+PrquQrLH92f7JmaH//vv5B2Dj7jOKslb1yunN+URf2t/KyirWjxEDQHcePA5X5omv35RlKhnSp0O39i1QtQKDQEREpD0/fvzAlAWb8djtjaJ84qC2yJIxHT8K0k0QyMvLGx36Dsf5yzcU5U/c3HH20jUsX7cVaxbORKFwCZ1jJQVQKH8elCtZFBnTO8DT2xu37z3E0VPn5chdtiyZ1bl8goOC5XVku3mJhJpCYFBQnI4nIiLShoOnbuDr99CAT6b0tqhQUjn7leJG5DO8c2aP/Hn/kVMYOmEG6tWojJkThkfYfELMEraytGBTExGR1m3aexb7T1xTlHVpWR1Vyxbkp0G6CwKNmf63DABZWVqib9d2cvaP2D1DjLDNXvgfnr14ic79R+Hs3nUal1vFRKUyJVGjsjJfT7mSxVAoXx7MXLAUR0+fVweBLH5OifPxDZ0uF5bXz5FL1XGxPT4y08YM1Vi+eOXqOI9UJiWG/v70Hduf7Z+cGeLvv1j2vGnfeUVZh6ZVkcraGvomKba/mZkp7Mxs5M+lixfG6N96yo0n7NKGlBEREema671nmL10p6KsTNHc6NW+js7qRPpJq0Ggz1++YdPOA3Kk7L95U1G5XCn1ffnz5EStqhXg0rSTzKez59AJuf16XJiba95evkyJIjI48/7DR3WZrY0NjI2N8ObdB42PefMuZF2/Kr9PbI8nIiJKbKcv38WLV6HnpTSprNCweug5lhJO7hzO8kJERKQvPn7+hpHTVyHo56oVwTFdWkwZ2l7+70oUllZ/I27efSDzARXIk1MRAFJJkzoV2jarL3++dvNugr++WNPv5+evmGFkYmIMZ6fM8r6HT9wUx3t5+8gZShbmZnDKlCFOxxMRESW2tdtPKm63qFceFhaaB0Qo/sRA0Knzl/Ho6XNFH2DEpFmo1LA92vUaimfPX7KpiYgo0QUGBuH3P1fjw6dv6jJTE2PMGNUJNmn0b0YwJbMg0PefyZJFwsTIZHJML6+/eYbsvhEXKzdsw+u37xRl4rZYCiaSZRUMl2+oYtkS8nrJ6o0yuCOIZNWLV22Ar68fypQoCjNT0zgfT0RElFjuPHyBa3eeKjp+LetXYIMnotFT/0Kr7oPwxO2Fumzc9LlYuXGHDAwdO30B7XsPlcv0iIiIEtPfK/Yo+gHCiF7NkD+XExuedL8czM42ZO3842ehnabwHj0LGVWzt00b59fZf/QUdh08BuuUVvJ5RGJoj09fZABIlLVp2kBxfG2XSjJp9NPn7ug1bJwMRH3w+CS3gg85vn68jiciIkosa3YoZwHVcykB+7QJs8smRfTx02ccOHYG6exsUdulonrTiy27D2Jgj45o06Q+2vQcjKfPX+Lo6QuoWUWZo5CIiCih7D12Bet3nVKUNalVBk1ql2Ujk37MBCpaMJ9MAi2SP6/epExaJYip06ryCqWLx/l1urZrIXcAE0EZN/dX+OjxWe7aVapYYZmQOfxMJHMzM4wb2g/FCxdAQECgrJ94rHiO8UP7R8jvE9vjiYiIEsPrd59w9Kyroqx9kyps7ET01M1dzvDJmT2LzHEoXL5xGwGBgejduS2yZc2M1o3ryfKrN27zsyAiokRx95E7pszfrCjLn9MJw3o2ZYuT/swEsrQwR58u7TBzwTIMmzgTJ89fRsUyJdS7g4kAkFhTX6xQPtSoXC7Or1PLpaK8ePv44P0HDxgZG8PRwT7KJVpih4/Rg3rL5V0en78glXVKOcqXUMcTEREltPW7TiM4+If6doWS+ZA9iyMbOhGJc76QNk3obKtb9x4ie9bMsPlZlilDyNL2dx89+FkQEVEinIu+Y9jUFfAPCFSX2dpYY8bvnWBuxrQkpGdbxA/q1Ul2oFas3yZ3ABOXsEoUKYDlf09Rj67Fh9iG3jlL5lg9RiSnFpfEOp6IiCghfPf0wc7DFxVlHTgLKNGplqu/ehOyG6hw1fUOCuTNFeaz8VT3Q4iIiBI6EfTIP1fh3cev6jKxA9j0Eb/IHcGI9C4IZGRkhKmjB6Fzm6Yyd4/IDyR2DEvvYI9KZUrApWKZBAkAERERGbKtB87D28dPfTtP9kwoWTinTuuUHOTKnlXuAipm/xw/c1HOAj5x9iKm/D5IfYz7q7fy2tkpow5rSkREhuh/S3fierhE0EN/bYLiBXPorE6UtGg9CKSSO4ezvBAREVHs+PkHREgE2aFpFQ6iaIFY8tWqcV2s2rQTbXsOkWXp09mhUZ1q6mOOnQmZoVWtEhNzEhFRwhEzgDfvPasoa1yzNFrU4yYElASCQERERBQ3+45flfkAVNLb26BmxaJsTi2ZNHKADAadvXQNGR0dMLRPV5kbUHj4xA2eXl6oWr40cjhn4WdCREQJ4vaD55j+z1ZFWcE8WTCid3MOApF+BIHEzhn+AQEwNjKGqamJoiwmwj6OiIiIQgQFBWP1tuMRZgGZmBizibTEwtwcv//WU+N9Ypbz9WPb+VkQEVGC+fjpG4ZN/Q8BgUHqMru0qTBjVGeY8X9miqVEi7LsOnAMvYZNQOO61bFo1kRFWUyEfRwRERGFOH7hFl68/qhujjSprNCkVhk2DxERkQEKCAjE8Okr8eHTN3WZGPiZMaoTHOzS6LRulDQlWhDI2jolcmbLIrdmD18WE2EfR0RERMCPHz+waotyFlCrBhVhaWHO5tGBR0+fy00unri5IyAgAI4O6VC5XElUKV+KU/OJiChBzFy8AzfvuSnKRvRqhiL5srGFSb+CQDUql5OX6MqIiIgoZq7cfIy7j93Vt83NTNG6fgU2nw6CceP/nIclazbLn8P6Z8U6lC5WCMvmTEE6e1t+NkREFGdb95/HtgPnFWXN6pRD09rceIDijkl3iIiIkoj/thxT3BadQJs01jqrT3I1Z9FKLF69Sf5cq2oFOfvHysoSdx88xtotu3Hp+i10HjAKe9b+yxlBREQUJ7fuP8fMxcocc0XyOWNYjyZsUYoXI2jRgWOnUahyIwyfODNexxARESU39x+/xMUbD9W3jY2M0L5JZZ3WKTny8fXD/GVr5c+Tf/8Nqxb8ie4dWqJdswaYPOo3HNy0DFaWlrjqegdHTilHb4mIiGJC5P8ZO3sDAsMkgk5nmxp/jurEzZMoaQWBfH398MHjE75+94zXMURERMnNynA7gtWqXAwZHLjcSNtu3L4HL28fODtlQvf2LTTuDtaxVSP5s9hCnoiIKDZ8ff3x+8y1+PQ19P9hUxNjzBzdBfZpU7MxKWkFgWLC29dXXpuZmuq6KkRERHrh5ZuPOHrWVVHWqbmLzuqTnHl8+iKvc2XPGukxeXKEJOv8+Omz1upFRERJn8gzN3HuRjx4+lpRPqpvCxTMHbMNloh0nhNI/CIHBYVMYwsODlaXBQYGRjj285dvOHjsjPw5k6NDYleNiIgoSVi9/QSCg0MTEFcsmQ85nTPotE7JVSrrlPL6zbsPkR7z+t17eZ3amvmaiIgo5pZtOoLDp28oyto2qoRGNUqzGSnpBIF27j+KXsMmKMp2HTgmL5ExNjZGw9oc4SQiIvL4/B27j1xWNESnFtXYMDpSOH8e2U+58+CxXO5VoXRxxf2eXt5Yv22v/LlYoXw6qiURESU1x87dxL9rDijKyhbLjYFdG+qsTmSYEj0IZGVpgcwZHeXP3j6++PT5CywtLWCX1kZxXIoUKWBhbo4czk7o0rYZCuTNldhVIyIi0nsbdp+Gf0Do7NnC+ZxRNH/IciPSvrQ2qdGiYW1s3LEPnfuPwoBfO6JimRJI+XN3sNn//odXb94ho6MDGtTigBYREUXvwdNXGDd7vaLMKYMdpg3/BSbGxmxCSlpBoFouFeVF2LHviJwVJLZTXTRrYmK/NBERUZLm6e2LzfvORsgFJAZOSHem/P4b3F68xMVrNzHlr38j3J/OzhYr5k6FpYW5TupHRERJa8bv4D+Ww9fPX11mndIC04d3QCprS53WjQxTogeBwhJTpjct/Qvp7O20+bJERERJ0pa9Z+HpFbJhgpDdKT0qlcqv0zqR6JxbYeuKudix/yj2HTmJx89eyPyH6dPZo1LZEvildZMIM56JiIjCEzN9h037D+8+hmw6IBgbGWHib63hlNGeDUZJPwiUzt5WXoiIiCj6LWLX7jylKPulRTUYGendxp7JkomJiVwWJi5ERESxJTZLmrZgC27ec1OUD+rWCKUK52SDkmEEgcITyRM/ffmKoMCQ3cPCj7IxYERERMnV9kMX8Pmrp/p2Rgdb1KlcTKd1IiIiooQhBnp2H1Vu/NC0dlm0blgRPj4+bGYyrCDQlt0HMX/ZWtx/9DTSYxrXrc68QURElGynh6/ediLCjmAmJkwOqQ8+eHzGi5evYG9ni6yZMyru+/rtOx4/e440qVMjZ7YsOqsjERHprzNX7mHuit2KsuIFsmN4z6bM+0eJTutzypeu2Yx+I/+QHSTVrmF2tjbIkjmD/FnsrlGuVFHkzu6s7aoRERHphb3HruC9x1f17XS2qdGwRimd1olCjZg0E/Xb9cKd+480NkvrXwejfrse8PLyZrMREZHCM/d3GD1zDYKDfyhm+84Y1QmmpjpdqEPJhFaDQL5+fpi5YJn8efnfUzFmUC/5s9ha9dLBzVjw5zi5jXzZEkUxpE8XbVaNiIhILwQGBeG/LccUZR2aVoUZO4Z64f0HDxw4dgYO9naoU61ShPvTpE6FJnWr4+s3T+w8oPwciYgoefvyzQuD/lgGL+/QTR+sLM0xe2xX2KSx1mndKPnQahDo1t2HslOUw9lJbhMfXvMGtVDbpSLmLFoJ1zv3tVk1IiIivXDo1A28euuhvm2TOiWa1Smr0zpRqIdP3BAcHIy8ubJFmqQ7b+4c8vrB42dsOiIikgIDgzDqz1V4+Sb0HJ8iRQr8MaQdcjqHrIohMrgg0PuPn+R19qxO8jqFUQr1H4RK+VLFZKb0/UeUO6IQEREZOhFc+G/zUUVZu8aVYWlhrrM6kdJ3Ly95bZQi8i6UiXFI7qbPX7+x+YiISP5/O33hVly++VjRGn071kWVMgXZQmS4QSAxRVo11V21A5jwJUwnKXWqkGlwb95/1GbViIiIdO7Ehdt46v5Ofds6pQVa1Y84c5Z0x9Ehnbx+9NRNduo1Uc0ASp/OTqt1IyIi/bRm+wnsOHRRUVa3anG56QORQQeBsmXJJK9fvHwtr3M6h+ya8eDJMwT9DAzdfxyyY5hdWhttVo2IiEinREBh2cYjirJW9SvCOqWlzupEERXMmwtp06TGq7fvsXnXgQj3v33/ERt37FfnPCQiouTt+PlbmPvfXkVZ4bxZMaZ/K+4ERoYfBMqUIT0K5cuNp89f4ulzd2R1yoS8ubLjo8dnDBwzFcvXbcWqjTvlsWKHMCIiouTi3NX7ePD0lfq2hbkZ2jWKmHiYdEvs3NK7S1v58/CJMzF3yWrce/QUbi9eYce+I2jaqR+8fXxQrFA+VC5Xkh8XEVEydu+xO8bMWquYOSp2Aps1ugvMzUx1WjdKvrS+B13fru2wccc+XLt5V+YGmj52CNr2GIwtuw7KiyCSQ9esUl7bVSMiItLdLKBNyllAzeuW404heqpft/ZyydfWPYcwdc4ieQkrV/asWPrXZI7wEhElY+8+fsGgP5bDzz9AXZbSygJzxneDrU1ImhSiZBEEalKvhryolC1RBCd2rsauA8dkbqBC+fOgYa2q2q4WERGRzly9/QQ377mpb5uaGKNDkyr8RPSU2BVswZ/j0LhudWzZfVDuGBYQECBnPItBrPYtGsHK0kLX1SQiIh3x9vHDoEnL8PFTaO5bYyMj/DnyF2TP4sjPhZJXEEiTrJkzon/3DrquBhERkU4s23BYcbtRzdJIZ5eGn4aeq1W1grwQERGpBAUFY/TMNXj4LCQPrsrwXs1QtlgeNhQlr5xAJ85eQq2WXTHlr3+1+bJERER66/qdp4otY42NjfBLMxed1omIiIjiZs7y3Th9+a6irH2TKnKZN1GyCwL5+vnh5t2HeP5zdzAiIqLkbsn6Q4rbDaqVRCZHbi1ORESU1GzZdw7rd51SlFUuUwADOjfQWZ2IdBoEEruBCa/evNPmyxIREemlG3ee4pLrI0W+gC6tQvPmERERUdJw/tp9zFy0XVGWJ3smTB7SXs7yJdIXWv1tzJcrOwrnz43b9x7h2fOX2nxpIiIivbN4g3IWUP3qJZGZs4CIiIiSlMfP32Dkn6sRFBysLktnmxp/jesGK0tzndaNKDythyT/nTURmTI44Jd+I3D8zEV4eXlruwpEREQ6d+PuM1y6oZwF1JWzgIiIiJIUj8/f5U5gXt6+6jILczMZAHLgJg+U3HcH23XwGPqPnIzg4GAEBAaibc8hstzczCzCsQ3ruGD+tLHarB4REZHOcgHVcynBWUBERERJiK+vP4ZMWY437z+ry1KkSIEpw9ojb47MOq0bkV4EgUyMjZHSyjJGx1poCAwREREZAtd7z3DxxkP1bc4CIiIiSoJbwc9ag9sPXijKB3ZtiCplCuqsXkR6FQSqV6OKvBARESVn4WcB1a1aHE4Z7XVWH4q5C1ddMX/ZWpQtUQT9urWP8zFERJR0/fjxA/9bugMnL95RlDerUw7tG1fWWb2I9C4IRERElNzdvO+GC9eVs4C6ta6p0zpRzL199wFHTp6LcmZzTI4hIqKka+3OU9i056yirELJfBjeq6lcDkakz7hXHRERkQ5nAdXhLCCD4x8QIK9NTTjWRkRkaI6cccWcZbsUZSL/z7ThHWX6EyJ9p5Mg0HP3V/htzFSUqNEc2UpUR79Rf4SUv3yNybMXYvWmnbqoFhERUaK6/eA5zl97oL5tZJQC3VrXYKsbmBu378tre7u0uq4KEREloBt3nmLc7HWKsgwOaTGHW8FTEqL1Iaq7Dx6jWef++PLtO0xMjBEYGISAgEB5n6ODPVZv3gk/P380rV8T1imttF09IiKiRLM4/CygKsWRJWM6trieO37mohykEr5+95TXJ85eRPVmnSMc+/nrN7x++17+XLV8aS3XlIiIEovby/cYMmUF/H/+7yqkSmmJv8d3h71tajY8JRlaDwINGjtdBoCG9OmC7Fmd0HfEJPV9Yqv42i6VsGnnfhw8fgbNG9TSdvWIiIgSLRfQuashM0RCZwExF1BS8PXbd9x58DhcmSe+flOWqWRInw7d2rdA1QoMAhERGQKPz98xcMISfP3urS4zNTHGrNFdkD2Lo07rRqTXQaDHz17A9c59OeNncK/O2H3oRIRjcjg7yeubdx4wCERERAbj3zUHFLdrVy6GrJk4CygpEDub3jmzR/68/8gpDJ0wA/VqVMbMCcMVx4lkoBbm5rCytNBRTYmIKKH5+Pph0B/L8OrdJ0X5+N/aoEShHGxwSnK0GgR68uyFvM6fJyeMI0malT5dyBa5Hl++aLNqREREiebKzce45PpIsSPYr2052zWpMDMzhZ2Zjfy5dPHCGP1bT+TOkQ12aUPKiIjIMAUFBeP3mWtw95G7orxfp/pySTdRUqTVINAP/Ah50Z8BIE27533++lVeW5qba7NqREREieLHjx9YuGa/oqxB9ZLMBZRE5c7hLC9ERGT45+9Zi7fj9KW7ivIWdcujU3MXndWLKEkFgZwyOqp3AVNNmw5PLAMTsv9cFkZERJSUid3AXO+5qW+LTRG6t2EuoKTO188P67ftxZkLV+Hx+QsqlCmOYX274cPHT7hw1RXp09nJWUNERJQ0rdl+Apv3nVOUVSqVH0N7NtH4fyxRUqHVIFC+3DmQKUN6PHj8DNdv3Ytw/617D7H70HH5R1WragVtVo2IiChRRhHD5wJqWqsMMjjYsrWTMBHoadFtoOzPqKR3CFnObmpqgn4j/0BKK0u4ntgpbxMRUdJy6PR1/L0iJBecSr6cmTF1eAf1qhaipMpIqy9mZIQxg3rJnzv3H4m9h0/Kn1+9eYcpf/2Lpp36yS3j2zdvgBzOWbRZNSIiogR38uId3H0cmkfA3MwEXVvVYEsnccMmzpQBoPo1q+L333oq7rNJkxrVK5fFpy9fceLcJZ3VkYiI4uaS60OMm71eUZbRwRZ/jesGSwumLKGkT6tBIKFp/ZqY/Ptv+PL1O3buPyrLrty4jXlL18DTyxuN61aX9xMRESVlwcHB+HetchZQi3oVkM4ujc7qRPH39v1HHDh2GqmsU2Lu1NHIkjmjxpnPwuXrt9jkRERJyP3HLzFsyn9yYoJKamtLzJ3QHfZpU+u0bkQJRSdzlLu3b4H6Napg14FjuP/4Kfz8/JEhfTrUdqnI9fNERGQQjpx1xWO3N+rblhZmTCRpAG7fD9nlrWjBvHLJlyZi6bvw5t2HBFlS+PnLV3z39IJtWhsZfIorMdj26fMX+RxpbRiMJCIK6+WbjxgwcQm8fPwUM3hnj+kKZ6eQ73UiQ6Czheoi6NOzU2tdvTwREVGiCQwKwqK1BxVlbRpWgq1NKrZ6EicGrgTrlFbyWlNuUG8fX3US8Lh67v4K+46cxLnL1+Ht46Muz5XdGV3aNkOenNlj/FwiiLRo1UZcvXELwT9CdmrNmS0renduC+csmeNcRyIiQ+Hx+Tv6jV+MT1881WVGRikwdXhHFC0Q8+9boqRA68vBwo5sifX0+4+ewq6Dx+SUaT//kI4VERFRUnbg5HU8fxU6CySllQU6NK2q0zpRwhC7fqmWhUXm0ZOQ3eAyZwjZFTUuDp04iyOnzsHH1xfp7GyR0dEBJiYmePTUDRNmzMMTtxcxeh7/gABMmjUfl6/fhLGxMbJkygArS0s8fvYcE2bOw/uPn+JcRyIiQ+Dl7YuBE5fi5RsPRfnvfVqgSpmCOqsXkUHNBDp+5iLG/TkXj54+V5SnSW0tR6X6d+8gOypERERJjcgjsGT9IUVZhyZVkCZVyMwRStoK58+D1Kms4XrnAV6/fR9hm+CPnz5j297D8ueqFUrF+XWyZc2Mwb26oETRgrAwD0lEKpaE/btyPS5cuYGdB47K+6Nz6PgZvHj1BtmyZMbowX2QNk1qGRiau2QVzl++jo079qJ/945xricRUVLmHxCIYVP/w/0nLxXlvdrXQZPaZXVWLyKDCgLtPngcPYeOlwkz7e3SokiBkDX19x4+laNb0+cuwRM3d8ybNibBXtPXzw+zFiyTo2klixSSyak1EVvUnzp3CR8+fUaqlClRulghVCxbMkIHL67HExGR4dt15BJevQ0dTRTBn7aNK+u0TpRwzMxM0adLW9lf6TpwNCqXKynLvbx9sOfQCUyd868M1lQqWwIlisR9BLlG5fIRykQunw4tGssg0PsPyhHryJy5eEVe/9qxlQwAyfdgaioH3a7fvIMLV2+gV6c2MDU1jXNdiYiSIvH/6Pi/1uOSa0iuN5WW9cqjW2vu5EmGS6tBILHca8Qf/5N/cK0a18W0MYMVSRU3bN+HQWOnYfOuA2jduC4qli2RIK+7Yfte3Lh9Ty5By+SoOanX5l375XFhnbt8DRev3cTg3l3k9vbxOZ6IiAyfr69/hFlAHZu5wNrKQmd1ooQ34NeOcsBK9FdE/0I4cvKcvAh5c2XHgunjEqXpxdbzQgaHdDGalfbs+Us5cyl8DqGUVlbInycXrt28A/dXb5Hd2SlR6ktEpI/E/4V/LduFw6dvKMqrVyiMoT2aclCfDJpWg0BXXe/IXSnE2vYZ44eqpzertGlaD2cuXcWWXQdx+OS5BAkCPXVzx97DJ1CrakUcPH5a4zEPnzyTAR0TY2M0rV8L+fPklFO8N27fi/NXruPwydyo7VIpzscTEVHysHHvGXz49E192y5tKrRuUEGndaKEJwZ6xIzlZvVrykDQ/UdP5UBXhvQOqO1SAR1bNY7Qx4mrDx6f8PXbd/j5B8hk0dv3HYalhQUa14t+lPrTly8ySbnIJ6SJKBdBoHcfP0YZBBo1eZbGcuMUQTLvkbe3NwyRT5iE3MT2T24M/fd/7c5TWL9L+b9h0fzOGNmrCfz8QpL765Kht7++89GT9reyskr6QaAvX0M6xgXz5Yq0cySWVIkg0Oefx8ZHUHAwFv63DsUL50f50sUiDQLtOXxCXrdv2QiNaldXr/l3yuiIcX/+Lad3hw3qxPZ4IiIyfN88vfHf5mOKsl/b1IKlRcIEA0j/uFQsIy+JaduegzJJtEoOZyeMG9IXTpkyRPtYX9+QbY5F0EiTlJaWiuOIiJKD/SeuYdG6kNxtKjmzOmLqsPYwN+PSWDJ8Wg0CZcoQshRLrJWPzNdvIdvyZc4Y9x01VPYePo637z9g5IAeePM+dJeW8G7euS9n9dSsUlFRXiBvLmR1yiRH3sTuGQ72tnE6noiIDN+qrcfx3St05ChzBjs0qZW4AQIyfGL2tAj8+Pr546PH55C8iUtXYWjf7nCwD9mpLDJGxiFL08Uy/MgGy4ToNuOYNmaoxvLFK1cn6kilvjD096fv2P5s/4R05vJdzFi0U1GW0cEW8yf1hL1tSN40fcLff7Z/YtBq4hoxWyZf7hy4dfdhhJ3BhMDAQOw+eEwmLBRTrONDBGHE8qz2LRrDzjZtpMeJKdYiKJUxQ3qNo7W5smWV16/evI3T8UREZPg+eHyNMK1c7CxiYsKdLil+mjWojRnjR2Du1LH4b/6f6NS6KZ4+f4m/F6+M9rFi0wrhy7fvGu//8i1k1rV1SgY5iMjw3bzvhhHTV6kD4IJN6pSYN6mHXgaAiAxiJpDYNWvpX3+gQ+/h6NBnGCYM64fypYrBwsIcDx4/kzttPHzihjmTRyFntizxeq0lqzciWxYn1HZRztYJ77tXyKwk1Y4Z4dn8LPf8OXsptsdHhuvrKTmvb02u2P6G2/4L1+yXOVtUcjk7omKJ3AabKyUp//7HdlT1+q17WL1ZOWocU8UK5pP5gRKKGCRrVKc6Tpy7JPMQiR3Jwm6wEV6a1KlkgOfVm3dyp9TwS/GfPHuRYLOviYj02aNnrzFwwlLFudrC3AxzxndH1kzRJ9onMiRaDQLtOngM/UdOltOSAwID0WXA7+rgkMjQrkq2OGjsdHkJq2EdF8yfNjbG26HeuvsAsyaNjDaze3BQSCQ4st28jH+Wi8SKcTmeiIgMm/sbD+w9dlVR1qNtLe4SaSDEEu91W/fE6bEiSBPXIJCmoI3qOcUmG0I0XRypUP48OH/5Oo6dPo96Naqqy0UQ6dmLl3B0SBftsjIioqTM/fVH9Bu3WLFk29jYCDNGdULB3PGbeECUFGk1CCTy6EQ1YhUVCzOzGB3n5e2NFeu2okXDOnLHimif9+eSLh9fzVngvX+Wq46L7fGR4fp6Tj3XJa4v1i22v2G1/39btyqmlhcvmANVyxXm9rJaav/EVqxQPvxv4ogYH3/5xi1s2nkg0jw8MdVr6DhUKV8aObNlhb1tWvgH+Mut3A+dOCOXpRfIkxNWPxM7q5ari53ExEzlsMvg69WoIoNAqzbukHmF8ufOIXc0Xbt1t7y/fs0q8aonEZE+e+/xFX3G/guPL6HLYsUkgYm/tUX5Enl1WjeiZBEEEh0RcUlMB4+dlmvfr7jewvXbd9Xl3t4hkd+rrrcxeupslC1RFA1rV0NamzQyEvzmnebE0aKjpErMKMT2eCIiMlz3H7/E4dM3FGX9OtVjAMiAiA0fxCU6Itfh1Dn/Yv/RkNxQRQvmQ/f2LeL8umKG9J5DxzXe5+hgjz5d2yvKLly9gcWrNqJR7Wro1KaZujx/7pxoVr8Wtu09hLVbdikeU7JoQdSuVjnOdSQi0mdfvnqi79hFePP+s6J8RK9mqFO1uM7qRZSsgkDaIEa5BE2JpwURIBIXZ6fM8rapiQmcnTLJ3TYePXVDruzO6mO9fXxw58EjmJuZIUvmjHE6noiIDNf8VXsVt6uUKYDCeUPPC2T43r7/iFkLlmH99n0ICgpCtiyZMWLAr2hcp1q8goGL/vcHzl26hjv3H+HdRw/1AJNY3lWxTAmZHyisNKlSyV3ENG2G0b5FI7kxh8glJHYYS2VthVLFCqNaxbJctkhEBsnT2xcDJizFM/d3ivI+HeuiRb3yOqsXkT4wuCBQzaoVUKxQ/gjlz164Y9naLShRpCCa1qspZ/SoVCxTUgZ1lq7ZjDGDeyOVtTUCA4OwZPUm+Pr6oXLZUorOVmyPJyIiw3PZ9REuXH+ovm1klAJ9OtbTaZ1Ie8SSrAXL1mLR6k3w8fGFvV1aDO7VGR1bNoapafy7VyIfULVK5eQlJsqWLCovkSleuIC8EBEZOpH8ecjk5bj72F1R3qFJFXRpWV1n9SJK1kEgMVK2c/9R7D18Ek+euyMgIEAmJqxcriR+adUEaW3ivkWfGCXTtBQrKDgkUbNN6lRyNCys2i6VcPjkOTx+9hw9h4yTu2R8+PgJ3zw9ZQ6j1k3rx+t4IiIyLGKpzvxV+xRl9V1KIkdW7rJk6Pz9A7By43b8tWiVTNAszvtD+nRBn85tkZJbrRMR6ZQYmB81YzWu3nqiKG9cszQGdm3I5dpEuggCeXl5o0Pf4Th/WZlDQcysOXvpGpav24o1C2eiUL7cWquTubkZxg/th39WrIXrnft44hayZapY0tW3S3u59j4+xxMRkWE5csYVdx6GfPcLpibG6NGulk7rRIkf+Nu+9zCmz1uCFy/fyOXhnds0xZA+XZHOLuISLCIi0i6RkH/i3xtx6uIdRXn1CoXxe9+WDAAR6SoINGb63zIAJHa06Nu1nZz9I0bR7jx4jNkL/5PblXbuPwpn967TuDVqXGXL4oTJowbBJo3mWUZiGve4of3w+es3eHh8hrV1yiiDObE9noiIDIN/QGCEWUAt6lVABgduCGCoTp67jCl/LcTNuw/lPxENa7vg94E9kS1rSH5BIiLSfaD+f0t2Yv+Jq4ryssVy448h7eXGPkSkgyDQ5y/f5LapogP137ypqFyulPq+/HlyolbVCnBp2gmv3rzDnkMn0KJh7QR7bRFoCr8MTBOxtaq4xFRsjycioqRty75zePU2JFGvYJ3SAt1a19BpnSjxHDh2Wg5OqbaLF7kAixbIq57dHBUTUxO5WQQRESWuxesOYuOeM4qywvmcMfP3zjBLgDxtRIZEq38RN+8+kPmACubNpQgAqaRJnQptm9XH//5ZgWs37yZoEIiIiCi+vnv6YNnGw4qyrq1qwCZ1SjaugRIbPqhcv3UPzbsMiPFjG9etjkWzJiZSzYiISFi38xSWbFCem3M5Z8Cccd1gaZFwK0uIDIWJtnfSEDKkTxfpMZkc08trkWSZiIhInyzffARfv4fO/sjgkBatG1TUaZ0ocRkZG8V5Nk9C7BJGRESR23HwAmYv3akoc8pgj3mTeiC1tRWbjkgDrfZO7Gxt5PXjZ6HJNMN79Oy5vLa3ZZJFIiLSH2/ef8LG3cqp5n061oW5manO6kSJr1HtavJCRET6Zd/xq5iyYIuizMEuDRb80RP2aZmugygyWs2QVbRgPpmbRyR/Xr1JGbEVnj0PLa9Qurg2q0ZERBSlf1bvl0mhVfLmyIzalYux1YiIiLTsyFlXTJizXiaEVkmTygrzJ/VAxvTcqIFIb2YCiTWZfbq0w8wFyzBs4kycPH8ZFcuUUO8OJgJAXt4+MvFijcrltFk1IiKiSN177I79J64pyn7r2hBGRtxthIiISJtOXbqD0TPXIDg4NACUKqWlnAGUPYsjPwyiaGh9sfqgXp3g8fkLVqzfJncAE5ewShQpgOV/T5E7iBEREemaGGX8e8UeRVnFkvlQsnBOndWJdOvNuw949NQNGdI7IFf2rLJMDGJNmrUA5y5fh1OmDJgy6jduIU9ElMAuXH+AEdNWIigoWF2W0tIc8yb+KmfoEpEeBoHEqOnU0YPQuU1T7D96SuYHEjuGpXewR6UyJeBSsQwDQEREpDfOXr2PKzcfq28bGaXAgC4NdFon0q3RU//CviOn8N+8aeog0Ljpc7F2627586Onz9H+xVCc2bOOs8WIiBLI1VtPMGTyCgQEBqnLRF6+OeO7o2CekO9iIoqezratyJ3DWV6IiIj0VWBQEOaGmwXUuGYZTjdPxj5++owDx84gnZ0taruE7Azn5eWNLbsPYmCPjmjTpD7a9ByMp89f4ujpC6hZpbyuq0xElOTdvO+GQX8sg59/gLrMzNQEs8d2RbEC2XVaN6KkhskMiIiIIrH7yGU8ffFWfdvSwgw929VmeyVjT93cERwcjJzZs6hnLl++cRsBgYHo3bmtXALWunE9WX71xm0d15aIKOm7//glBkxYAm8fP3WZiYkxZozqhDJFc+u0bkRJEYNAREREGnh6+cgdwcLq0LQq7G257WxyJvIaCmnThP4e3Lr3ENmzZobNz7JMGdLL63cfPXRUSyIiw/DY7Q36jlsETy9fdZmxkRGmDO2AiqXy67RuREkVg0BEREQaLN98FJ+/eqpvi+BPx6ZV2VbJnL1tWnn96s17ddlV1zsokDeX+vZ3z5DfGytLSx3UkIjIMLi9fI8+Y//F1+/e6jIxA3PioLaoXqGwTutGlJQxCERERBTOy7ceWL/zlKKs3y/1YGVpzrZK5kQiaAtzMzn75/iZi7h97xFOnL2IymVLqo9xfxWyhNDZKaMOa0pElLTPw33G/ItPX0IHY4Qx/VuiTtXiOqsXkSFgEIiIiCgckQw67O4j+XJmRj2XEmwnkku+WjWuK/MCte05BDVadEGa1KnQqE41descO3NRXlerVJYtRkQUS6/ffULv0Qvx3uOronx4r6ZycwYiSqK7gxEREenrFrTHzt1UlA3u3phbfZPapJEDZDDo7KVryOjogKF9uiKVdUp538MnbvD08kLV8qWRwzkLW42IKJYBoJ6//4M37z8rygd2aYBW9UN2ZCQiPQ0C7Tp4DP1HTkbDOi6YP22sumN08Nhp5M6RDbWr8Y+YiIj0S1BQMGYv3akoq1GhCLefJQULc3P8/ltPja2SO4czrh/bzhYjIoqlN+8/odfvCyMEgHq1r4OOzVzYnkT6vhwsOPgH/Pz9ERAQqC67++AxpsxZhG37DifWyxIREcXZnmOX8eDpK/VtM1MT9O9cny1KRESUyAGgnqMW4vX7T4ry7q1rolvrGmx7oqQwE8g6pZW8fveB26MSEZH+8/L2xT+rlFvCt29SBZkc7XRWJ9Jfvn5+WL9tL85cuCq3ja9QpjiG9e2GDx8/4cJVV6RPZ4fSxbl7DRFRdN6+/yxnAGkKAPVsX1vuCEZESSAIVLRgXpiamODiVVeMnfa33DrV9c59ed/L12+xZffBKB/vlNERZUoUSazqERERKfy35Rg8vnxX37azSYXOLUKT/RKpiEBPi24D8eDxM3VZegd7eW1qaoJ+I/9ASitLuJ7YKW8TEVHkASCRA+jVO2UASMz+YQCIKHEkWs/E3jYtRg/qhUn/+wdL1mxW3HfV9Y68RKVx3eoMAhERkVa8euuBtTtOKsr6/FIXKa0s+AlQBMMmzpQBoPo1q6JIgTyYOmeR+j6RMLp65bLYd+QUTpy7hJpVyrMFiYg0ePvhM3qOXhghANS1VQ2ZB4gzgIgSR6IOT/Xq3AY1qpTHibMX5bKw+4+e4vDJc8iZLYssj0qhfLkTs2pERERq8/7bC/8wOexyZ8+IBtVKsYUogrfvP+LAsdNyN7C5U0fLfk14+XLnkEGgy9dvMQhERBRZAOj3hXIQJqwuLaujdwcGgIgSU6LPURYBH3ERduw7IjtLYmnYhGH9EvuliYiIonXl5mMcOesaYUt4Y+NE2zuBkrDb9x+pl72LJV+aZMqQXl6/efdBq3UjIkoK3n38gl6jNQeA+nSsyxlARIlMqwvVSxYtiH9nTkDmjI7afFkiIiKNAoOCMHOxcjtvl3KFULJQTrYYaeTn56/YAENTvlJvH195bWJizFYkIgoXABI5gF6+UQaARA4+BoCIDDAIJII/DAAREZG+2LL3HJ48f6u+bW5mgkHdGum0TqTfxK5fqmVhkXn0xE1eZ87AQS8iIpX3Hl/lLmDhA0Cdmrug7y/1OAOISEt0smVFUFAQdu4/ir2HT+LJc3cEBATA0SEdKpcriV9aNUFam9S6qBYRESUjn758x7/rDijKfmleDRnT2+qsTqT/CufPg9SprOF65wFev30f4Z+Wj58+Y9vew/LnqhWYV4qISHjz/hN6jf43whKwX5q7oF+n+gwAERlyEMjLyxsd+g7H+cs3FOVP3Nxx9tI1LF+3FWsWzmRiaCIiSlQLVu2Dp1fIsh0hg0NadGrOLeEpamZmpujTpS2mz12CrgNHywEswcvbB3sOncDUOf/iu6cXKpUtgRJFCrI5iSjZe/nmowwAiWTQYXVsVhX9GQAiMvwg0Jjpf8sAkJWlJfp2bSc7TyKx4p0HjzF74X949uIlOvcfhbN718HC3Fzb1SMiomTgzsMX2HXksqJMLAOzMDfVWZ0o6Rjwa0c5eLV51wHcuH1Plh05eU5ehLy5smPB9HE6riURke65vXyPPmP+lUvBwurYtCoGdG7AGUBEhh4E+vzlGzbtPCD/2P+bNxWVy4VOk86fJydqVa0Al6ad8OrNOzma1qJhbW1Wj4iIkoHg4GDMWLQdP378UJeVLppLJoQmigkjIyPMmzYGzerXlIGg+4+ews/fHxnSO6C2SwV0bNWYA1lElOyJnHsiAOTx5buiLbq2qsFt4ImSSxDo5t0HMh9Qwby5FAEglTSpU6Fts/r43z8rcO3mXQaBiIgowe05dkXOBFIRW8EP69GUo5EUay4Vy8gLEREpPXj6Cn3HLsKXb16K8l4d6qB765psLiIdMtLmi4k18kKG9OkiPSaTY3p5/c3TU2v1IiKi5MHT2xfzV+5VlLVpWAnZnELOPUQJ5fiZi/h78So2KBElO2KgpffohRECQAO6NGAAiEgPaHUmkJ2tjbx+/Cx0BDa8R8+ey2t727RaqxcRESUPKzYfw6cvoYMMdjap8GvbWjqtExmWG7fvY/LshThz8Soa162u6+oQEWnVjbvPMHDiUnh5h268IAzt0UQOuhBRMgsCFS2YTyaBFsmfV2/aKdfMh/XseUi5UKF0cW1WjYiIDNwz93fYduCioqx/5/qwtrLQWZ0oaQV3lqzeJDeyELkNC+TJKTe4yJc7h7zf/fVbTJm9EDsPHJP5phwd7NGoNnebI6Lk48qtxxg0aRl8fP3VZeL7clSf5mhWp5xO60ZEOgoCWVqYo0+Xdpi5YBmGTZyJk+cvo2KZEurdwUQASGyxWqxQPtSozC8KIiJKGOKf8tnL9iAoOFhdVihPVtRzKcEmpmgdO30BnfqNREBgoLrs3sMn2HfkFHasmo8PHp/Qa+gEuew9lXVKGRzq8UtrWFkywEhEycOFaw8wZMpy+PmHfk8aGaXAuAGt0aB6xFywRJSMtogf1KsTPD5/wYr12+QOYOISVokiBbD87ylM0ElERAlm7/GrcL3nphiZHN6rqdzliSg6Y6bNkQEgZ6dM6N6xpRy82n3wuAwOjZk6Rw5kefv4on3zhhg9uBdsbdKwUYko2Th96S6GT/sPAYFB6jJjIyNMGtIOtSsX02ndiEgPgkCiwz119CB0btMU+4+ekvmBxI5h6R3sUalMCbnLhuicExERJYRvnt74e/luRVmLuuWQL6cTG5ii9ejpczx9/hLmZmbYvnK+enOLtk3ro2H73rh0/Za8PfuPkWjXrAFblIiSlaNnb2L0rDUIDBMAMjExxrThHeFSrpBO60ZEehIEUsmdw1leiIiIEtM/q/bj89fQZNC2Ntbo07EeG51iROQxFIoVzh9hd9P6Navg8o1bsj/DABARJTc7D1/ElPmbERz8Q11mZmqCGaM6oWKp/DqtGxHpYRCIiIgosd1++AJbD5xXlP3WtRFSWVuy8SlGxDIvwcHeNsJ96dPZyeuc2bKwNYkoWVm74yT+WrZLUWZuZor/je6CssXz6KxeRBQ9BoGIiMggBQUFY/o/W2VSaJWi+Z1Rtyp3n6RY+Pn7o2mpuqrM1NSUTUpEyYI4py5aexBLNx5WlKe0NMfssd1QolDIjolEpL8YBCIiIoO09cA53H8SspRHMDY2wuBuDZl3juJE5Lvw8vJWlPn5B0R6n2BiaiJzCRERGYLg4GD8b8lObNxzRlGeJpUV5k/qwVx7REkEg0BERGRwPn7+hgWr9ivKWjeoAOfMDjqrEyVtew+fkJfY3Ne4bnUsmjVRC7UjIkpcgUFBmPT3Ruw7flVR7mCXBgv+6IlsTun5ERAlEQwCERGRwRG7gXl5h+RyERzTpUWnZlV1WiciIqKkSMx6/H3Gapy8eEdR7pTBXgaAMqaPmDONiPQXg0BERGRQrtx8jP0nrinKhvZoAksLLsuh2BOzeRrUilsA0cjIiE1OREmaGFAZOmUFLt98rCjP6ZxBLgGzT5taZ3UjorhhEIiIiAyGf0Agpv2zRVFWqVR+VClTAD4+PjqrFyVdIvmziQm7S0SU/Hz97o2RM9bizsMXivLCebNizvjuSG1tpbO6EVHc6VWvRiRVtLS04MgZERHFyYrNR/H81QfFdrViFpCmnZ2IiIhIs4+fvmHIlJV49vK9orxM0dyYNbozLC3M2XRESZTW5ylfv3UP85asxpmLoVP1X75+izqtf0WO0rVQ1KUpTp2/rO1qERFREvfM/Z0MAoXVvU1NZHK001mdiIiIkpqXbz6i7/ilEQJALuUK4a9x3RgAIkritB4EGjd9LqbMWQQry9Do8fBJs3Dr3kPY2qTB+48e6DF4HHx8/bRdNSIiSsLb1k6Zv1lu1a2SI6sjOjZlMmgiIqKYuvfYHV2Hz8Ob958V5Q2rl8K0ER1hZqpXC0mISN+DQGLGz+Ubt5DVKSOKFy4gyz54fMaJs5cwZ/Io3Dq1C8UL58eXb9+x59BxbVaNiIiSsB2HLuLG3Wfq22L515h+rWBiYqzTehERESUVF64/QM/fF+LTF09FedtGlTF2QCuYGPOcSmQItBoEcnN/La+zZ8msLrty45b8QmlY2wXGP6+F+4+earNqRESUhPMWzP1vj6KsZf3yKJQ3q87qRERElJTsP3EVAycuhbePcjVGr/Z1MLh7I+ZsJTIgWp3P5+nlJa/NzEK36b19/xHy5MwGC/OQ5WF2aW3UM4SIiIii878lO+Dp5au+7WCXBn061mPDERERxcCaHScxZ9kuRZlRihQY+msjtGpYmW1IZGC0GgRKn85eXj997q4uu3DFFYXz51HfVgV/7GxDgkFERESROX3pLg6fcVWUDe/VDNZWFmw0IiKiaPLpzV2xRwaBwjI3M8H4ga1QsWQ+th+RAdJqEChvruxImyY1Hj19jjmLViKdnS3OX7mBzm2aqo957v5KXufI6qTNqhERURIjpqxPX7g1ws4lVcsW1FmdyPDsOXQCKzduR93qlVGnWiVkdHTQdZWIiOItICAQk+ZuxP4ToTs2C6mtLeUOYLmypmcrExkorQaBLC3M0adrO0z5619Mn7tElhXMmwv1aoRMMwwKCsLB42dkbqDaLhW1WTUiIkpiFq45gHcfv6hvp7SywLCeoYMKRAnBOqUVLl+/hdMXrmL01Dly9nLd6pVQp3ol5M2ZnY1MREmOl7cvRkxfiQvXHyrK09vbYP6kHsjmlB7e3t46qx8RJS6t7/HXv3sHZM/qhLOXrsnRtE6tm8igj+Dm/grFCuVHzmxZkM7eVttVIyKiJOLOwxfYuOe0oqx/p/oyHxBRQqpaoTTunN6DY2cuYv/RUzh6+rwcyBKX7Fkzo061yjIoVKJIASZOJSK95/H5O36btBT3Hr9UlGfP4oh5E3+VgSAiMmxaDwIJ9WtWkZfwcjhnwX/zpumiSkRElET4BwRi4t8bERz8Q11WOG9WNKtTVqf1IsOVMqWV3L1UXMQSinOXr8uAkJi9/M+KdfIilrjXqVZRzhCqVKYkzMxMdV1tIiKFl28+ot/4xXj5xkNRXqxAdvxvTBektrZiixElAzoJAmnDi1dvcO7SNbx88xaenl6wTWuD4oXzo3yp4pGO1N269xCnzl3Ch0+fkSplSpQuVggVy5ZEihQpEuR4IiKKvxWbjuDpi7fq2yYmxvi9X0vOwiCtMDU1QZXypeRl2pjBuH7rHg4cO439R09j9eZd8iKWkFWrVBb1qldG9crlkMo6JT8dItKp2w9fYPAfy/Dpi2eEXHp/DGkPC3MGromSC50EgZ49f4ltew/j0VM3eHn7IHQsN1TZEkXQr1v7OD3/hu17sXnX/gjlJ89dwqETZzH6t94wNw/dpl4Qx4vHhXXu8jVcvHYTg3t3ifDPRWyPJyKi+Hv47DWWbz6qKOvWqgZyZs3A5iWtE4M+YoBJXH7/rSeeuL3AviOnZFBo98Hj2HXgGMxMTdGvewcM79eNnxAR6cSJC7cxeuYa+PkHKMqb1SmHEb2awdiY/7cQJSdaDwJt33sYA0dPhX+A8ksovJRWlnF+DU8vL+TO4YxSRQshU0ZHmJqYyG3pdx88hjv3H2HngaNo1biu+viHT57JgI6JsTGa1q+F/Hly4vXb99i4fS/OX7mOwydzo7ZLpTgfT0RE8RcYFIRJf29EUFCwuiyXcwZ0blGNzUt6QSxrF7kPxeX9Bw8cOH4a+4+cgvurN7quGhElUxt2ncb/lu7Ejx/KYfde7eugW+saXMFAlAxpNQjk6eWN4ZNmyQBQ5XIl0b19C2RwdEAKRFw+lSZNqji/TttmDSMEkYoXLiATUk/5ayFu3rmvCALtOXxCXrdv2QiNaleXP4vdP5wyOmLcn3/L7WHDBnViezwREcXfmm0ncP9JaCJLYyMjjBvYWi7PIdI3Duns8EurJvISHBwauCQi0gYxYDJn+S6s36XcREGcO0f1bYEmtcrwgyBKprTac7528w6+e3rB0cEeqxb8CQtz80R5nchmEWXKkF5eh/+HQQSFxKyemlWU29IXyJsLWZ0y4bn7K7z/+AkOP3csi+3xREQUP8/c32Hx+kOKso7NqiJfTic2Lek9LhEnIm3y9fXHmP+tlcvAwkppaY4/R3ZC2eJ5+IEQJWNaXQAq8v8IhfLlTrQAUGT8/P2xbU/IPxClixdWl3/99l0GpjJmSA9Li4h1ypUtq7x+9eZtnI4nIqL4j2b+MXej3BVMJWumdPi1bS02LRERURifvnxHz9ELIwSA0tunwbIZ/RkAIiLtzgRyzpJZHUjRhp37j+DS9Zvw8/PH2/cfERAYiIa1qymWan338pLXadOk1vgcNj/LxQ5jcTk+MqMmz9JYbpwiCJkzOMLb2xuGyMcnJBBIbP/kiL//cbN533ncvP9ckYx3eM8mCAoMgHdg1Pnl2P76Q19+/62suAUyERkmN/d3GDhxKV69+6Qoz509I+aM6w4HuzQ6qxsRJdMgUL5c2eU26jfvPsCrN+/Uy7MSy9v3H3D/0VP17SyZMyJblsyKadnBPxOMRjZVW6ybVSUkjcvxREQUd6/efsLi9YcVZS3qlkWhPFnYrERERD9du/0EQ6eswDdPZcC9fPG8mDaiI1JaWbCtiEjSejbNf2aMR9ueQ9BlwChMHzsUhfPnholJ4lSjcd0aqFyuNHz9/PDm3XscPH4Gc5eswvuPHmjZKCQxtMXPJV0+vr4an8P7Z7nquNgeH5lpY4ZqLF+8cnWyGKk09Pen79j+bP+kQCTTnbV0l2JL20yOdhjQpaHG5bgxxd9/3WL7ExElrN1HLmHKgi0IDFQOQjetXRYjejeTuUyJiHQSBNp18Bj6j5wsO/ZiaVa9tj1gbGys8YupYR0XzJ82Nl6v5+iQTl6EYoXyw6VCWfQZMQHb9h5Cswa15aydtDZpYGxshDfvPmh8DrH1u5DOLiTJc2yPJyKiuNm05yyu3nqiKBvTr2W8AkBERESGQvxPNX/VPqzaejzCff061Uen5i7cAp6IdJsYWgR7xM5dqaxTwtYmjbykSWUty8JfLMzMEvz1LS0tYJM6Ffz9A/D9u6csMzUxgbNTJpmn6NFTN8Xx3j4+uPPgEczNzORSsrgcT0REsef28j3mrdyjKGtWpxxKFcnF5iSdunLjNnoOHY+lazbH6xgiovjw9vHDsKn/RQgAmZmaYMqwDujcohoDQESk+5lA9WpUkZfEtmrTDtSpVgkO9naK3cH2HzmJF6/eILW1NVKnslbfV7FMSTxxc5edtTGDeyOVtbWcTrlk9Sb4+vqhctlSMDM1jfPxREQUu93AJs7ZAD//0N3AMqW3xcAuDdiMpHMvX7/Fzv1H5c/dO7SM8zFERHH17uMXDPpjGR4+fa0ot7WxxqzRXVA4rzMbl4j0JyeQNuw+eEzuDJYmdSrY29rIfBIfPn6SgSChTbP6isTOYrewwyfP4fGz5+g5ZBwyZ3SUx3/z9JSzklo3ra94/tgeT0REMbd6+wnceqDcDWzcwDZMaklJhljyLjAPBxEltDsPX2DIlBX4+Ombojyncwb8NbYrMjgwJQUR6dFyMG3p0rY5sv5csiVm7IgROREAEsu4hvbpptgiXjA3N8P4of1QpEBeedwTtxcyoCOWdI0b0g+ODvbxOp6IiGLmsdsbLFp7QFHWtlEllCiUg01IScadB4/ltb1tWl1XhYj0jO+3d7i2srO8jq0jZ1zRY9SCCAGgiiXzYdmf/RgAIiL9nQkUFBQkp0nvPXwST567IyAgQCZwrlyuJH5p1QRpbVInyLIzL29vvHvvIcvS2dvKXESRsbdLi3FD++Hz12/w8PgMa+uUUQZzYns8ERFFTSyrHf//9u4DrMrqjwP4l72VLUNBUATEvffeZu4sTW3YUFv6N600y9KyMhtWttMsLc29996iiKIiigioyN57/J9z8CKXe0FA4AL3+3me+9zrec+9vPdwo5cv5/zOV2uQVWh3E1dnO0ybOIRDRxp19NQ5fPHdb/JxbHzCgzZfPPnsVJW+4rogKDh/Jlu3Tm2r+EyJqDoTwc/Zn0YjJeomUiJvoP0r62Fcp94jn5eXl4ff1+7H8r92qhybMKIn3njuCblxDRFRtQyBUlJS8ez02Th51k+pXczYOX7mPH5fvR5/Lf8Czb2bPPbXMjM1hXvDsm1FblW3jrxVVn8iIlLvt7X7EBh8p+Dfuro6WDDjGRgbscYaaVZMbDzOXLik1BYbF48zcfFq+4tNKJ4fPxr9e3apojMkopoUAAniXvz7UUFQenomPlr2L/YcUf7dSYQ+70wdLbeBJyKq1iHQvMXfyADI1MQE018YL2f/iDo6Yur00uUrcCs0HM+9/i6Ob18NYyNuA0xEpA2u3gjD7//uU2qbPLoPmnm6auyciBT69+qKM3vyd/rac+g45n3ytQx4Fs2doTRIon6VuHYR9QjFYyIidQGQwqOCoIjIOFn/p/AfSAQLMxN8/u5k7phJRNU/BIqLT8TazbvkhdGKZZ+gR+f2BceaejbGgF5d0XvkZNy5dx/b9hzCmGEDq/L0iIhIA0Tx/g+WrkFObq5SgcuXnhnA7wdVC+KPVeImdG3fGm+9PAneno3g4uyo6VMjohoaAD0qCLoQEIzZn65EXEKyUn8XJ1t8NX+KXC5NRFQeVbp41P9KoKwH5OPZWCkAUhC7eT0zKn9nrfP+V6ry1IiISEO+/3MHgsPuK01xF8vADA1q5QaWVMN5N2mEd958GcMH9dX0qRBRDQ+AigZBimLRG3adxNR5P6oEQJ1aN8GKL99kAEREj6VKr7CTklPkvWO94pNrZ4f8BFzstkVERLXbqQuBWL35iFLbS08PgKe7s8bOiehRomPjcDvsDmxtrOFa30m2id1CP/v2V1nf0KW+Iz6YNR31nRw4mERaqrQBkILod+bH0Thr8gLW7AlQOf7siJ547bmh0NfTq4SzJSJtUqUzgWysLeX9jVuhxfYJupW/owa3VSUiqt3iE1Ow4Ot/lNqaebrgubF9NHZORKXx3qKvMHT8q/APCCxo++CzZfjhj9W4GHANW3cfxISpb8sdfYhI+5QUAJnZNUKXN/fI+6JSo2/C/sZnMNdPK2gTs2LF7Ni3XnySARAR1bwQqFUzb7mmXhR/XrV2s8rxW7cftnft0KYqT42IiKqQ+OX4k+//Q1RsYkGbibEhPp45gRe5VK2JLeJ37Dss/7A1pF8P2Zaalo5/N+3AyxOfwr7//oCzYz0E3riFQ8fPaPp0iaiaBUCi9k8d5+byXl0QZGeUiBdd9ssgyM66Dn5ePB1D+7SrorMnIm1QpSGQibERpj0/Xj5+e8EXmDJjHlb8sxHrtuzCh198h35jnkdySipaN/dGvx6dq/LUiIioCm0/cA4HTvgrtc16eQQaONny+0DVWnBIGLKzc+Dh3hB6D5Zl+F68jPSMTLz5yiQ08/bA0yOHyPai28oTUe1WmgBIUfxZ3JcUBE1rfBi/fTwBzZq4VMm5E5H2qPKqmzNenYyYuHj8sWaD3AFM3Apr29IHv3+ziFurEhHVUuERMfj8p41Kbb07N8eT/Tpo7JyISisyOkbeW1vWKWi7dPU63FycYWOVv+zdxTm/TtD9qGgOLJGWKEsApKAIgtQ9r45OLG7++xysi9k+noioxoRAurq6+GTuDDz39Ejs3H9E1gcSO4bVs7dF945t0btbRwZARES1VHZODuYvXY3UtIyCNhsrC8ydPoY/+6lGUAQ9EZEPAx7fi1fg4+VR8O+klPyNMIyNjDRwhkRUEwKg0gRBxW0fT0T0ODS2/26TRg3ljYiItMeK/w7A/2qIUtuHbz0Ny7rmGjsnorLwaNQQhgYGuBgQiDPn/WFrY4UDx05hwezXCvqE342Q94qdw4io9nqcAEiBQRAR1dqaQEREpL0Crofil9V7lNqeHtYdndt4aeyciMrK2rIuRg7tL2cxPzlxGroMeQamJsZ4cuDDXe0Onzgr73t15RJHotqsIgIghZJqBClmBImvR0RUbUOg3NxcpGdkICsrW6WtNLfCzyMiopotJTUdc5f8hZzc3II29wb18NrkoRo9L6Ly+OS9t/DihDHw8nBHn+6dsPrHJbCsm18j6PrNENy5dx/tWzWHZ2M3DjBRLVWRAZACgyAiqtHLwbbsOoBX3/4Qwwf3xU9LFii1lUbh5xERUc22ePkGhN/LL6gr6Ovr4eNZE2BsZKDR8yIqDzMzUyx67y21x8RS9+undj32wKakpuLkOT/4XbqKiMgoZGVnw8HeFl07tEX3Tu1KXUPr+GlfrFq3We0xAwN9LPt0/mOfK5E2urJxjtoASGg5fnm5a/iI54nnn/hmgMox8fXE120zeUW5XpuIqFJDIHNzMzR2c5EXLEXbSqPw84iIqObaduAcdh7yVWp7bdIQeLo7a+yciKq7abM/RHJKqlKbqDV0zu8yjp32xZw3Xoae7qMndKelZyAqJlbtMQN9jZWGJKrxmo78DCmRN9QGQRdXTy13MWcxw0g8Xx0xw0h8XSKix1Fp//fv16OzvD2qjYiIaq/bd6Lw2fL1Sm1d2nhh/PAeGjsnoooSdjcCuw8eQ3BIGLKysuBgb4cenduhfevmj/3aRoaG6NS2FVo180Y9u/w/jPn6X8Z/W3fD9+JlHD5xBn26dSr16700cRzatGhapLV0s4mIqGqKOVfGEjMioqL4JyAiIqoUmVnZeO/zVUhLzyxos7G0wIcznoZuKWYwEFVnn337C5b99heys3OU2r/4/jf06tIBy7/4EFaW+XWCyuOHzxfIZZOFuTdsAH09ffz132YEXL1ephCoroU57G1tyn0+RFS5QRADICKqKrwKJyKiSrFsxXYEBt9Ralsw8xlYW1pwxKlG++GP1fjqp5UyAOrWsS3effNlLHz3TTwzaqhcYnXoxBm8+Nbcx/oaRQOgwjWHBAMD1tMiqg4qopgzAyAiqhUzgcROYJlZWeV+vp6unixYSERENc+xs1ewZssRpbbJo3ujU2tPjZ0TUUXIyMzE1z/9KR/PfesVvP7SRKXjL4wfjWETXsWJsxdw6PiZCt8m3v9KoLxv16pZmZ6388ARrN2yU16fOdrboXP71rLANGflET0+AzM7XLWdDpPwD2FnlFimGUEMgIio1u0OVl7cHYyIqGaKiknAh1//o9TWzNMFU58drLFzIqooYreuxKRkNHB2xGtTnlU53ty7CZ4d+yR+/es/HDl5rkJDoKDgEGzeuQ9tWvigXauy1R0KuBakVGD6rN8lWWB69usvPbJA9LsLl6ht19PJQX1HB6SmKhewri3S0tI0fQparaaMf0x8Ej76dh0uBNyCuX5fvOiyv9RBUEkBkImNO5pN+gu5+hYa+W+spox/bcXx5/gLpqamqJG7g5UXdwcjIqp5cnJyMX/pasQnphS0mZkaY9GsZ4td3kJUk0THxst7z8ZuxW7T7u2RvywkMiamwr7u7bA7+OTrH+HsWA9vvjy51M/T1dVBj07t0al9KzjVs5dbz1+6el3+se68fwA279iHMU8OqrDzJNImvpdu4uPv/kNsfLL8d3K2CX4L7Ysprvtha1hyEPSoAKjFc3/DyMK+yt4LEWmPKt0djIiIarff1u7FWf8bSm1zXxsDZwcWpKXawczURN5HRkUX2+d+VH74Y15Bf8G7fjMEi776AbbWVvhw9uswNyv96/bs2hF9uitfj3l5NIJXY3d8+MUyHD559pEh0KfzZqlt/3nlqkr9S2V1UdvfX3VXHcdf1AP7afVurPjvAPLy8pSOOdR3R6ep03FvyyvFFotuOX653Aa+JuwCVh3HX5tw/Dn+lYGFoYmIqEKc9ruOX9bsVWp7sn8HDOjemiNMtUbzpk1kHZ3L127gnN9lleOpaelYt2WXfNyymddjf72LAVex4Itv5c5eH85+Axbm5mV6vl4xO/E1b+oJE2NjxMTGPfY5EmmTu/dj8fK73+OPdftVAqBh/dpjxRdvoLGnT4nFok98M6BGBEBEVDsxBCIiogqpA/T+l38rXRC7N6iHt18ewdGlWsXGyhLDB/WRBZYnTZ+D31evlzN17ty7jz2HjmPEpGm4FRoOOxtrPDmwz2N9rRNnz+OTr39CfSdHfPD267AwN6uw9xEZHYO09HSYlWFWEZG223/cH+Pf/BL+124rtRsbGeKDN8fhgzefhrGx4SN3DVOHARARVRXuDkZERI8lOycHc7/4q6AmguKC+LN3J8PE2IijS7XOp/Nm4ubtMPgHBOK9RV+pHLesY4Hfv1lUsHSsPPYdPoGfVq5BY3dXzJs5vdyv9c1PK9GvV1c0cXeV28qLoPZq0E388ue/8njrZt7lPkcibZGekYWlv27Ghl0nVY41cXPCJ28/i4YNVGfvKIKg4mr/KDAAIqKqxN3BiIjosfz0926cDwhWantv+hi4qbkgJqoNLOvWwda/luOfjTuwY99h3LgVipycHNSzs0X3Tm0x5dmxj7XBRUZGJpavWC0fR0bF4H/zP1Xp06RRQ8yc+kLBv4+cPIvV67eif6+uGP3EwIL2k+cu4Mips7KIdV0Lc6SkpiErO7tgVtO4kUPLfZ5E2uDm7Qi898UqeV/UuCe64Y3nn4CRoUGxz39UEMQAiIiqGncHIyKicjt27qqsi1DYyIGdMKR3W44q1WpGhoaYPG6EvFW03ELLKuMTk9T2sbe1Vvq3WNoVFROL5OSHO/MJIijac+gYrgTeKHitOubm6NSuJcaNGCoDLSJSJWbNbdh1Ss4AysjMUjpW18IU778xDr06NSvV0BUXBDEAIiJN4O5gRERULhGRcfhgaf5shcLT4v/3EusAET0OsZxy+RcLSuwjlnYVJraBb928KUxNlJeNdWjTQt6E+IRE6Onplrm4NJG2iUtIxsfL1uLI6QCVY6193PHx/8bDwc6qTK9ZNAhiAEREtS4EIiKi2isrKxvvfr4KCUmpBW1mJkZY/M4kGBsVPy2eqDZISEzC3ftRsvaPYz07pWPJKakIuxsBCzNT1HdyKNfri6VbYjewsjAxMZa3knDWD1HpZrh+/M2/iIlXnoWnq6uDF8f1x4vj+kFfT69cQ6kIgq5snIOmIz/jLmBEpBEMgYiIqMy+XbEdlwKVd0cRU+NdnJR/ISaqjWZ/tASbd+7Hj0sWYMTgvkrHMrOyMPSZV+RsnnP71sP0EcEMEVUP6emZ+GbFNqzbflzlmL1NXXz8vwlo27x0O309KghqM3nFY78OEVG12yJebJ2anpEh/1pctK00t8LPIyKi6mPX4fNYs+WISnHMft1aauyciKpKVEwctu05BFsbKwwb0EvluLVlXQwf3Aex8QnYuvsgvzFENcC1G+F4dsZXagOg/t1aYs2yWRUSABERacXuYMMH98VPSxYotZVG4ecREVH1cCPkHhYuW6fU1tSjAd58YZjGzomoKl2/eUvuBObV2B16xSwJ8fFsLO/FVuxEVH3l5ORi1cZD+PHvXcjOzlE6JpY4z351lNzoQCzRJCKqLSp9d7DCW6Qq2krjcbZWJSKiipeUnIZZn/yB9IzMgjbLOmb4/J3JMDTg6mLSnnpAgkEJn3lF0eaY2PgqOy8iKpu792Px4df/4Pxl1bC2VVM3fDRzPJzqKe/CR0RUG1Tp7mDq2oiIqPoTy3nnL12N8HsxSkUyP5n9LBzsy7ZDClFNVs8uv2DzjVuhxfa5EXxb7TbuRFQ9tn7ftOc0vvptC1LTMpSOid3zXhk/EJNH95GPiYhqI/7ploiIHun3tftx9OwVpbbpk4agQ8smHD3SKs29PVHHwhxhd+5h0879KoWhRc2gfzbtkI+7dGitobMkInUiYxKw8Nu1OHH+msoxF2c7LPzfBLnEmYioNtPXZAp//WYIgm+HISs7G472dmjh4wkjQ0NNnRIREalx/NxV/LR6t1Jbny4tMGlUb44XaR1DQwO8NHEsvvzhD/xv/mJEx8ZhQK+uMDEywoXLV/HJ1z8hKTkFzbw80LtrR02fLhE9+L1jx0FfLPl5E5JS0lTGZPTgznjrhWEwMTbieBFRraeREOjgsdOY/9m3CHowXVqhbh1zTH3uGbw+5dliiy0SEVHVCY+Iwftf/i0voBUa1rfHB2+OY6FM0lozXpmMq9dvYse+I5j3ydfyVphLfUf8+tVC6OpyOQmRpsXEJeGT79fh8OkAtVu/v//GU+jcxksj50ZEpBUhkNgu9ZVZH8j6EmJ71ZY+XjAzNcHV68EICg7B4m9/wc2QMCz7dF5VnxoRERWSnp6J2Z+uQGLyw7+ampoYYcl7z8HM1JhjRVpLX18fv329CJt37se6rbvlzOasrCw4O9ZD/55d8ML40XLJGBFp1r5jF/HpD/8hISlV5dgTfdrhfy+NgIW5iUbOjYhIK0KgjMxMzPn4SxkAPTV8MD6dN1MGQAr/bNyBGe9/inVbdmHc8MHo1qltVZ4eERE9IGb+LPj2X1wPvqs0Jh+8+TQaNqjHcSKtJ7aMHjGkn7wRUfUSl5CMz3/aiL1H/VSO2Vha4L3XxqBnx2YaOTciIk2r0nnKvhcDEBsXDzsba3z+wSylAEh4euQQjB42QD7ee/hEVZ4aEREV8se6/SoXz5NG90bfri04TkRE9NjE7Bx1M3Qe9w8YOw/5YszUz9QGQP27t8K/37/NAIiItFqVzgSKT0iU9828PWBspL7wWofWzfHflt2Ie9CXiIiq1pEzAVj+1y6lts5tPDF94hB+K4iI6LGJ8GfavB/l4x8Wvoq6FqaP/ZoRUXFY/MN6HDt3VeWYeP13p41Bv24tH/vrEBHVdFUaAom18oLYNaM4CYnJ8r6+k0OVnRcREeULDo3A+0uUC0G7ONli0duiYD+L3BIRUcUEQIHBd+S/xePHCYJEmYkNu09h2R/bkJKWoXK8V6dmMgCysbLgt46IqKpDoBZNPeHdpBEuXbkudwbzcHdVOp6dnY2tuw/A0MAAo4b25zeIiKgKJSan4n8L/1C6iBYFoJfOewF1zB//r7RERKTdCgdAjkaxsi0wuPxBUOjdKCxctg7nL99UOWZtaY7Zr4ySy5hFDS8iIspXpX/WFT+Af/3qYzg52OPZaW9j5/4jSEhMkgWj/a8EYtJr78gdNr5e+C4au7lU5akREWm17JwcvPvZKoTdi1b6mb1o1gQWgiYiogoPgJ53PSBv4rFoE8dKWyNI/D/rzw0H8czrS9QGQEN6t8Xa72fL5V8MgIiIqmgm0JbdB/D6OwuLnbaZlZ2N5994T/5b/HBWLD3Q1dXFjPcX48Dx0/ju0/cr6/SIiKiQb//YhtN+15XGZPrEwejWvinHiYiIKjwAMtXLlMfE4z9u9yn1jKCA66H45Pv/CpaTFVbP1hLvTR+Dru28+R0jIqrqEEhfT09l96+yMDY0rNDzISIi9bbuO4PVm48otQ3s0RqTx/ThkBERUaUFQIJ4rC4IMtBTfp3klDT88NdOrNt+QqluncLYIV0wffJQmJsa8ztGRKSJEGhIv57yRkRE1ZfvpZtY9P1/Sm1ejerj/def4hR6IgAHj53GwqXL0btbR8ybOZVjQlSBAVBJQdCXcyfJenQi8Nl/3B9LftmE6FjV3YPF5gXzXn8KbZo14veGiKi6FYYmIqLqQxTUnP3pCmRn5ygV0lwy9zkYG3M2JpEgahcGBN5A4yKbWRBRxQRAxQVBMz5egTmvjsDv6w7ihO81lf5ix8pJo3rjxXH9YWxkwG8HEVEpMQQiItLSi/O3PvpNqQinoYE+lsx9Hg52Vho9NyIi0q4ASF0QFBQCvPTucqhZ+YVWTd3ktu+NXB0q5w0QEdVilbY7mN/lazh2yvexXyf0zj1s2rm/Qs6JiIiArKxszFm8EqF3opSG44O3nkYLr4YcIiIiqvIAqGgQJJ5bNACqY24il379/Ok0BkBERNUtBAoJu4MxL76JEZNfw/a9h+U28GVx4dJV/G/+Z+g65Bns2q9csJSIiMpH1FZYvHw9zvnfUGp/ZfxAWQyaiIhIUwGQuiBIQWz3/t/yORgxoKPcTZiIiKrZcrAn+vfEovdm4Mvlf+DFt+bCso4FBvTuhnatfNC6eVM41rOTbXp6ekhMSkZ0bBwuXQ3ChUtXsO/wCdwMCYO+vh7Gjx6Gt6e9UFmnSUSkVf7aeAib955RahvUszWmPN1fY+dEVBOEht/FPxt3lOk5LvUd0aU9w1XSDhUVAKlbGnYvwxphd6Pl7w1ERFRdt4jX18eLE0Zj7JMDsfKfjVj13xas3bxT3goTSX5ubq5Sm4W5GSaPG4GXJj6Fxm4ulXWKRERa5dDJS/h2xXalthbeDfH+G+O4ExhRKWYoi1tZDB/clyEQaYWKDoAetX18XQvTCjlvIiJtVOmFoetYmOP1lybitSnP4viZCzh+2henz/vjdtgdxMTFIzsnBzZW1nCsZ4u2LZuhc/tW6Nu9M8xMTSr71IiItEbA9VDM+3K1XA6m4GRvjSXvPQcjQ+6qQvQoDva2aObdpEwD1byM/YmIiIhqze5gOjo66NaxjbxVtpzcXPgHXIPf5au4dz8K2dnZcLC3Q9cObeDj5VHs8y5dvY4jJ84gKjYOFmZm6NC6Obp1alfsX8jL2p+ISBPCI2Iw4+PfkJ7x8K+yZqbG+PqDF2FtacFvClEpdGzbEj8tWcCxIlJDzMwRM3TyZwNBztypiNlAqTmGBcvBPN2dOQuIiKgC1Mot4qfP/hBRMQ8LyQkXA65h98GjGNCrK16Z/IzKc9Zt2Yl/Niovkzhx9ryctTRz6vMqBejK2p+ISBPiE5Lxxgc/IzY+uaBNT1cXi+dMhLsLt9YlIqLqGQQxACIiqhy1MgRKTUuTxadbNfNGPTsb2eZ7MQD7j5zAnkPH0aKpFzoXKtR4/eYtGejo6+lh5NABaOrZGHcjIvHvxu04ee4C9h5ugoG9u5e7PxGRJqRnZGHmwt8Rejdaqf2918agcxsvflOIiKhaBkEMgIiIKk+tDIG+/+wDWJibK7W1b90C5mam2LhjL85fuqIUAm3be0jeTxj7JJ4c2Fc+btHUEw2cHDD/s2+wbc8hpVCnrP2JiKpaTk4u3v/yb/hfu63U/tIzAzC8f0d+Q4iIqFKDoJfe+Q7BoWUPggoHQB4NHbkEjIiogtXKNUtFAyCFVs298x8UKowqiPpBYlZP/57dlNpF/SDXBs64G3EfkdGx5e5PRFTVvv59Cw6evKTUNqxfe7z8zAB+M4iIqNKkpKbjr42H5JbugghzRKgjwp2yBkBfvf8cdwIjIqpgtXImUHFu3AqV9y18Hi6DSEhMQlJyClzqO8HE2EjlOR5urnInszv3ImBva13m/kREVe3vTYexZstRpbZOrZtg7vSxLFxPVEb9e3bByR3/yNnERFQ8sePvlr1n8NPfuxETn6R0TBEElTQjqOgSsC/nTkIdc/53R0RU0bQmBBKzc9Zv3QXPRm5ylzCFpJQUeW9Vt47a51k+aE9OTilX/+K8u3CJ2nY9nRzUd3RAamoqaqO0tDRNn4JW4/jX/vE/cPISvv59q1KbR0MHfPjmU8jMzEDm423UUqPx88/xF0xNy/ZLpZmZKdwYABEVKy8vT848/e7PHQi9E6W2j7mpMe6lFh8EqasBZKDHQSciqgxaEQKJncIWLl0OM1NT/G/6i0o7d+Xm5Mr74nbzErvoKP66UZ7+RERV5Zz/TSxctl5ekCvUs62Lz+ZMhKmJ6sxFIirZkZNnsfjbX9Czc3vMeeMlpbbSKPw8otro/OWb+HbFNlwOzJ9tX1QTNyfMnDIcHm5OxRaLLq4IdG39gygRkabpa8MMoAVLvoMOdPDRO2/CxspS6bjxgyVdaenpap+f+qBd0a+s/Yvz6bxZatt/XrmqXH+prGlq+/ur7jj+tW/8A66HYu6Xq5UCaAszE3z74ctwqc+t4Ct7/Kl2jn9sXALO+19BA2dHlbbSKPw8otrkxu17+H7lDhw9q/6/BRsrC0x9djCG9W0PPb38P5Cq2zVMUBcAERFRLQmBdh04irc//AKD+3bH5x+8Xe4+pRV8OwwLl/4AYyMjLJjzBuxsVGv0WFnWlf9zundf/fRVsfW7oHhuWfsTEVW2kPBIvLngV6SlP5xeb2Soj6Xvv4BGrgyAiMprUN/u8D+0WekPO4q20njUH4SIapqIyDj8tHo3th04pzTrVMHMxAiTRvfB+OHdVWpnqts+XmAARERUi0Og9PQMuTQrISn5sfqURsC1ICz+9ifUsbDAR3PegI21ldp+Bvr6aNjAGTdDwhAUHAIP94YFx1LT0hAQGAQjQ0NZCLo8/YmIKlNkTAJem/8z4hNTlJalfjpnElr7uHPwiR6D+CPSrfg7iItPQJf2rQvajO0Y7pB2iY5NxB/r9mPDrpPIylYteaCvr4exQ7rihaf6wqqu+l161QVBAmcAERFp+RbxiuVUhgYG5X6Nc36X5Awgy7p18bFYAlZMAKTQrWM7ef/rX+uQlJwfPmVn5+CXVWtlKNWxTUul8ylrfyKiypCQlCoDoIioOKX2ea+PRY8OPhx0ogoQGBSMUc+9js6Dn8ayX1bhflT+ttdE2iAuIRlf/7YFw1/6BP9uO6YSAOno6GBwr7ZYv3wO/vfS8BIDoKJBkAh/GAAREdXCmUBiqmiOoqhybm5BW3Z2tkrfuPhE7D5wTD52drAv19fLyMzE59/9gpycXOjoAF8u/12lj5tLfUx59qmCfw/s3R17D5/AjVu38cr/5qO+kwOiomORmJwMM1MTjBs5VOn5Ze1PRFTR0tMzMeOjXxEcGqHU/sbzT2BYvw4ccKIK0sDZAY717HArNByLvv4Jn333K/p274zxo55A3x6doK9f68srkpb+keGvjYfwz9ajSkuNC+vcxhOvTR4qg5yyUgRBisdERFR1Kv3KZfPO/Xj17Q+V2rbsOiBvxdHT08Owgb3L9fVyc0XolB823bl3X/3rF9nZy8jIEB/Meg0//PE3LgZcw82Q/B0OxJKu6c9PgIO97WP1JyKqSFlZ2Zjz2Z/wv3ZbqX3iyF6YNKp8PzuJSL22LZvh3N7/cPD4GazZsB17Dh7D7ge3enY2eGr4YDwzaijcXRtwCKnGS05Jw9+bj2D15iNISVW/CUpzT1dMnTgIHVo2eayvxfCHiKiWhkCmJsZypoyQmpaO2Lh4mJgYq+zSJaaTinX2jRo2wPPPjIKPl0e5vp6RoQEWvjvjkedUlK2NFebPeg1xCYmIiYmDublZiWFOWfsTEVUEsfvX+1+uxvFzV5Xan+jTDq8/x1mIRJVB/HGqX4/O8hYdG4f/tuzGmo3bEXjjFpb9+pe8dW7fSs4OemJAb5WCuETVXVJyGv7dfgyrNx1GYnKa2j5ejerj1WcHoWtbL3ndTkRENZNOnrrS/pVk0459clbQ8MF98dOSBVX1ZWsUxRbxL0+eiNooNTW1xm0RXJtw/Gv2+IsltR9986/claWwbu28sWTu87IwJ1Xe+NPjqY3jf94/QM4O2rRzP5KS84uz17Ewx8gh/TBhzDC0aOqJ2ozXLDVffEIy1mw9in+2Hit25k/jho54dfxA9OzUrErDn9r4M6Mm4fhz/LVZai3/+VOlC9m7dmiDtb9+BTtbm6r8skRENZ7I67/4eZNKANTGxx2L50xiAESkAW1a+MjbgjlvYNueg1i9YTtO+17Eyn83ydsL40fjk7klz04m0oTouET8vfEw/tt5otiaPw3r2+OV8QPRt2sL6BYppUBERDVXlYZAdrbW8laclJRUuVSM/6MhIlIOgL5buR3rth9XGpamHg2wdP6LMDY25HARaZBYZi5qA419chBWrduM9z/9Vm5UERMXz+8LVSsRkXH4c+NBbNp9GplZqpu0CA0cbfHSMwMwsEdr6Okx/CEiqm2qfEuLC5eu4tipc2jdwgfdOraRbeF3IzBlxvvwu3wV9rY2+G7xPPTo3L6qT42IqFr6fe1+rFx/UGV6/rIFL8PcVLXGGRFVLXEd8++mnfhn0w6E3bkn24wMDeHj2ZjfCqoWQsIjsWrDQWw/6IvsItu8K7g1qIcXnuqL/t1bQV+Py4uJiGqrKg+B5i/+Fmf9LmHHmp8K2mZ/tASXrl6HtWVdREbH4OWZ83Hh4CYWViQirbdmyxEs/2un0ji4ONvh+49e4c4qRBokZvrs3HdEFog+espX1uwSvJs0wvhRQzF62EB5XUOkSX5Xbsnw58iZK3JWqTpN3J3w4lP90btzM87GJyLSAvpV/ZcyEQC5NnCSa+iFqJg4HDp+Bt8seg+jhvbHsGen4rz/Fbm2XkyrJiLSVht3n8KXv2xWanO0t8IPH78CGysLjZ0XkTYTf7QSxaA3bt8rdwgVzM1MMXxQX0wY80TB9Q2RpuTk5OLImQAZ/vhfu11sv2aeLpgyrj+6tvPmbl9ERFqkSkOgkLC78t7dpX5B2zm/S3LK6bCBveUWrOJehEDXgoKr8tSIiKqVTXtOY9F365TabK3rYPnCV+FgZ6Wx8yLSRnHxidiwfS/WbNiGy9eCCtrbtWqG8aOfkAGQmamJRs+RKD0jC9sPnMPfmw4h9G50sQPStnkjvDiuH9q38GD4Q0Skhao0BEpOyd8+1dDwYRFTcTHl2dgNxkZG8t82VpYFM4SIiLTRln1nVAKguhamcgZQfUdbjZ0XkTY6cvIsJk6bI5d/CTbWlhgzbCAmjB6GJo0aavr0SMOy09MQf+s64m4GIi36PnKzs6Grrw8T23qwauQJS7cm0Deu3IAwJi4JG3adxNrtxxGXkKy2j9javVenZpg4qhdaePFzS0Skzao0BKpnl//LS/DtsIK2U+cuokVTz4J/K8IfcZFFRKRttu0/i4+/XatUu0EGQAtfhbuLg0bPjUgbxcYlICs7G727dsAzo5/AoN7dYWhooOnTIg3Ky81FxIVTuLlzPSJ8TyEvV32hZUFHVw8ObTuh0eDRcGjdCToVuNX6laAw/LP1KPYe9UNWMcWejQz18UTf9hg/vCdcne0q7GsTEVHNVaUhkJeHO6zq1kFQ8G18/dNK2NlY4+Q5Pzz39MiCPrfD7sj7Rq4NqvLUiIg0bsdBXyz45l+lAMjCzEQWgfZ0d9bouRFpqzYtfXBm91rUd2IIS0BUwAX4/rAYSeHF19opTARE984elzeL+q5oO+0d2Pm0LvdQip299p/wx79bj5ZY70f88eCpoV0xdmhXWFuyhhwREWkoBDIxNsK0F8Zj0Vc/YvG3v8i2Zl4eGNKvh3yck5OD3QePydpAA3t3q8pTIyLSqF2HzuPDr9coBUDmZsb4YeEr8Gr8sI4aUW12OjgEvx8/ga/HjYVJNZlt4+LsqOlToGogJzMD/iu/x41ta8v9GiI4OjR3GhoPHYsWk6dDzzC/FEJpl3yJzQLW7zyBqNj8guTqODvYYMKIHhjWtz132SUiouqxRfzrU56Fu2sDHD9zHk4O9pg8boQMfYSQsDto3bwpGru5wM7WuqpPjYhII3YfuYD5X61Gbu7DAMjM1FjOAPJuzFmRVLuJ4PPgtev4at8BnLx5S7Z1aNgQL3bvoulTI5KyUlNw/JPZiLrk+/gjkpcng6SE2zfR9b3PYWBqVkLXPFwICJbhz75jF4td8iW0a9EYTz/RDd07+EBPr+KWnBERUe1T5SGQMLR/T3krqlFDF6xY9qkmTomISGNLwMQMIKUAyMQI33/0MnyauPC7QrVWbm4udlwKkOHPxQdLwRWWHTiESV06wuDBH4mINCUnMxNnlswtMQAKy6uDBD0DNLe7AR3dPByObAaDbB00Ns6AbYb6XbrE64lgqfv8pSozghKSUuUuXyL8uRV2v9iva2RogCG922LcE93QuCFnrBERUTUOgYiICNi89zQWLluntATM1MQI3y54Cc08XTlEVCtlZmfjP98LWLb/MIIiI9X2uRufgDO3QtC1caMqPz+iwq6t+bnYACjUzBW7k6xhZJSO510PwFQvfwe5Xma++ON2HxxOs0bb+u0w0T0X947tUXm+eN1Lf/6AVlNmyP8PXLwaInf52n/8IjIys4v9RjjYWWHs0C4Y3r8jLOsUP5OIiIio2oRAovbP5p37sX3vYdy8HYasrCw42NuhR+d2mPTUCFhZ1tHEaRERVZn/dpzA4uXrldpkAPTBFLT0duN3gmqdlIwMrDl7Hr+eOCVDHnXEzJ+nO7TFG317w83WpsrPkaiwmKsXEbJrg8qgGJjXwWHTljgakQtHo1ilAEgQj0WbCIJ8w4FkQ2d89PZiXP7xU2QmKX/2g7atxbVca2y4GIng0IgSvwFtmjXC08O6oUdHH+hzlhwREdWUECglJRXPTp+Nk2f9lNpvhoTJOkG/r16Pv5Z/gebeTar61IiIqsSaLUfw5S+bldpEEehlH76M5l6cAUS1S3RyMn45chy/Hj2OhLR0tX1MDAzk8q/pvXvAydKyys+RSN028Jd+/UptALSrTmecC09WGwCpC4ICg4H564DP5y7FuUUzlYOgvDzEb1uB4DyxY5iO2l2+hvZph1EDO6Fhg3r8RhERUc0LgeYt/kYGQKYmJpj+wng5+8fM1AQBgTewdPkK3AoNx3Ovv4vj21fD2Kj0uyYQEdUEqzcfxY+r96hc5H/30cssAk21TnxqKtp+vBgpGaq/JAt1TUzwYrfOeLlnN9iam1f5+REVJ+LCKaTcDVVpFzOAHhUAFRcEvfntNvRo0g+OvsqzQG100uCWF49bsCpoa+3jjlGDOqFPlxay9g8REVGNDIHi4hOxdvMu6OjoYMWyT9Cjc/uCY009G2NAr67oPXIy7ty7j217DmHMsIFVeXpERJVq5fqD+G3tAaU2q7rm+P7jV9DEzYmjT7WOpakp+nl7YbOfv1K7Q906mNqrOyZ17ggLY2ONnR9RcW7uVA5qFDWAilsCVpogKCQc8jZExw7NdaKU+rXWuYcYMyc562fkwE5wd3HgN4eIiCpFle4h6X8lUNYD8vFsrBQAKdStY4FnRg2Vj8/7X6nKUyMiqjSi4OeyFdtUAiAbKwv89MlUBkBUa3b7UueNvr0KHrvb2uDrp8fA9/13ML13TwZAVC1lp6chwveUSrsoAl2WAKhoECSeK5zOq6/Sx0M3AVt+nI3/vTSCARAREdWemUBJySny3rGeXbF9nB3y1zsnJidX2XkREVWWnJxcWQBabPVbmL1NXSxfNBWuzsX/PCSqCQHnnitX8e2+QxjTrjWe79pZpU/LBvXxas/uaO3siAFNvWDBZV9UzcXfuo683ByVbeCL7gJWFoVnBN3LsMYd1IEzEh92yMtF+t0QmNdtURFvgYiIqHqEQDbW+cUeb9xSXWOtEHTrtry3tX64LpqIqCbKysrG/K/WYO9R5UL4jvZWMgCq78Ddj6hmysjOxnrfC/jh4BFci7gv2+4nJmJipw5qdy1aOHIYUlNTNXCmRGUXdzNQpS1Bz6DcAZC6ICgs0wLOOolFvu412HozBCIiolq0HKxVM29ZBFoUf161VnlnHOHW7YftXTu0qcpTIyKqUOnpmfjfoj9UAiAXJ1v8+tlrDICoxhZ6/nrvAbT+6FO8sWZdQQAkhMTEYsvFSxo9P6KKkBb98HOt0NzuxmMFQEWDoCz9PNWvGxP52K9PRERUrWYCmRgbYdrz4/HF97/h7QVf4PDJs+jWsW3B7mAiAEpJTUPr5t7o10N1SjkRUU2QlJyGGR//Br8rt5TaRfHnJe9NQj1bboFNNcvtmFj8dPgo/j51FimZ6n8RNtTTQ3hcfJWfG1FFy83OVmnT0VUNbR5Hlpq/w+ZmZVXo1yAiIqoWW8TPeHUyYuLi8ceaDXIHMHErrG1LH/z+zSK5gxgRUU0TG5+E1z74GdeD7yq1t/Fxx8JZz8DclDshUc1xPjQM3x84jK0XLyE3T/0vwXWMjTG5Sye80rOb3PWLqKbT1Ve9PD4c2Qy9zHwfezZQao6hXA5mmZWjMh9f14BbwRMRUS0MgXR1dfHJ3Bl47umR2Ln/iKwPJHYMq2dvi+4d26J3t44MgIioRgqPiMEbH/yM0LvRSu3d2nlj8TuTkZvDv/JSzbAn4CqWHTiEkzeVZ7MVVt/KUhZ8ntCpPXf5ohovOzsHF6+G4LjvVUQcvIzWRY4bZOvI8OZx6gIpAiBRGLqTZTQK14UWTGzsy/8GiIiIqmsIpNCkUUN5IyKqDa7dCMebC35FTHySUvvAHq2xYMYz0NfXQ2oqQyCqGdadO19sANSivjNe69MTT7ZsrrYINFFNmrl5wvcajp+7ipMXApGcki7bnZGL1kVm6TgjCYczGpY7CCocAHm6O6ODYQLii4RAVo28Hvs9ERERVdsQiIiotjjtdx1vf7ICqWkZSu2jB3fG7FdGQU+vSmvwEz22ab17YOOFi0pt/Zt6YXrvnuja2J0zdqnGFuwXtdrO+AfhjF8QAoPvIE/NMsdImCE3D9AtVJmggU4imljq4XqcdZmDoKIB0OdTB+PEnLVKfXR09WDp5vH4b5KIiKi6hUAB14Jwytcfzbwao2PblkrHIiKjsX3vYTjWs8WQfj2r+tSIiMps16Hz+PCbf+RSgsJeemYAXn5mAH9ZpmorMOI+7iUkoJdnE5VjrV0ayLDn7K3bGNu+Dab16gFPh3oaOU+i8srOyZGzNE/7BeGsfxAuXrmFrCI/q9XJgh5C9W3RMEd5ae+05sZYHm6JwGCUOggqGgD9sPBVBP62RKWfQ9vO0Dc2Kce7JCIiquYh0JyPv8Q5v8vY9vePKsesLeviu9/+QkxsPM7sWQcHe9uqPj0iolL7a+MhfP37VqU2XV0dvDN1NEYN4g6HVP3k5ubiwLXr+OnwMRwMvI4GVlY4O2+22mVdX4wZibqmpqhXx0Ij50pUViKMvxZ8B34BwbgQEAzfyzcLlniVRhN3J3Rr1xTd2nvDJukOTiz8n9Lxe8f24KO3F2P+OpQqCFIXAKVe98PtgztU+jYeMprfcCIiqn0h0O2wOzIAatjAGe1aNVM5bmhogCcH9cFPK//F1t0H8NLEp6ry9IiISv2L9Dd/bMPfmw4rtRsZ6mPR2xPRq5PqzzciTUrJyMTac774+fBxBEVGFrSHxcVh5+UrGNayucpzmnDmD1VzYgnupcDbMvQRy7wuBYYiPaP0tXrMTIzQvqWHLN7fpZ037G3qFhzLy3WBmZMLUu6GKj3n8o+f4vO5SzH7x90lBkHqAiDEReDMVwtUzsOivivqtepYrjEgIiKq1iHQjZD8/5E2cnMptk/jhvnHboaEVdl5ERGVVnpGFj74ajX2H/dXaq9jboKl77+IVk3dOJhUbdyJi8dvx07gz5OnEZ+aprbPj4eOqg2BiKpb+B52LwZXgkIRcD0M/ldDZE2fnNzcUr+GKNDfwqshOrTyQIeWHmjq0aDY4uY6urpoPmUGTn00Q6k9MykB5xbNxIJX38EHxcwIKm4GkAiAxPOVv5AO2k57V349IiKiWhcC5TxYh52apv5CNP9Y/rTd9AzlAqtERNVhJ5n/LfxD/uW5sHq2lli24CW4uzho7NyICvMNCcXyw0ex9eKlYn9J1tfVxZOtWuCVHt04eFTtRMUkIOB6KAKCwhAQFIqrQeFISin++rGkJV4dWzaRM35a+7jBxNio1M+18W6JhoNGIWTXBqV2EeRc+OJdTO02AKsyLeAb/jAIEooWgRY1gNQtARM8nngKdj6tyvy+iIiIakQI5NLASd4HBt2SIY+xker/iC8GXJP3DZwcq/LUiIhKdCvsPt5a8Cvu3I9Vam/k6oBlC15WWkZApAlZOTnYdvGSrPdz7rbyEpbCrExNMblLR7zQrTOcLC2r9ByJSnLo5CVsO3BOhj9RsUX2Ty8FsROjV6P6ckZm66ZuaNnUDVZ1zR9r0L2eeRkpd24j6pKvyjFRI6ifKKRuYougdCMcutUWWdCFZVYOOllGy23gi+4CVphd87ZoPmnaY50fERFRtQ6BPBu5waW+I0LD7+Gbn1dhzutTlI6f97+CTTv3y8f9e3WpylMjIirWOf8bcgv4on+F7tS6CRbPmQRzM+7oQpr3/qat+PXoiWKPe9jb45We3fBU+zYwNTSs0nMjKo3wiBgcOnW51INlbGSIFl6uaOUjQh93NPN0KdNMn9LQMzRE1/c+x/FPZqsNggSbjGjYiO3kFRuPiZVdiUB8CTmWCIDE6+oZVuz5EhERVasQSEdHB++99SpenfUBvvpxBa7fuIX+vbrC2NgIfpevYtXazXLN9/DBfdGiqWdVnhoRkVrb9p/Fx8vWIidHeUnNyIGdMOfVUbLGBFF18HSHdmpDoL5enjL86eXpAV3WHaFqTNToKeka0q1BPfg0aQAfDxfZt4mbU5X8DDYwNUP3+Utx6c8fELRtLZCXV/4X09GRS8DEDCAGQEREpBVbxI8Y3BeRUTFYuHQ5tu87LG+FDe3XE0s/eqeqT4uISIkIpH/8ezd+X7tPZWRef24oJo3qLX8pIapKmdnZuBUdA081O3e1alAfndzdcCr4FkwMDOSMn5d7dFPbl6g6Eku5dHV1kJubB0d7q/yw50Ho49XIGWamxho7NxHYtJoyA86de8H3h8VICleuDVcaYhcwUQSaNYCIiEirQiDh5UlPYUi/Hti86wCu3wxBVlYWnB3rYUCvrmjfmjuUEJHmtx3+4Ks1OHjyksoW8Atmjke/ri01dm6kne4lJGDlidP488Qp6Onq4cL8d9TuajSzfx/4h9/BpC4dYW1mppFzJSovUxMjuZOWe4N6sLa0qJYDaefTGgOXrcF9v9O4sWM9InxPIi9XsQ5MlY6uHhzadkbjIaPlNvDcBYyIiLQyBBLqOzlg+gvjNfXliYjUuhcZi5kf/46gkHtK7aK46NJ5L6C5lytHjqpEXl4eTt8KkUu8RMHn7EK7fO28fEXttu59vD3ljaimate8Mao7EeQ4tOksb9npaYi/FYS4m9eQFhOJ3Kws6BoYwMTGHlaNvGDp5gF9Y9aNIyKi6kNjIRARUXXjFxCMtz9dibiEZKV28VfppfNfRH0HG42dG2mP1MxMbDjvh9+OnsClO3fV9vnlyHG1IRARVS0R8Nh6t5A3IiKimoAhEBERgE17TmPx8vXIzlae1t+9fVN8PGsCzDVYi4K0w+2YWPxx/CT+OnUG8anKO9EV5mpjjQE+3rJuFQs9ExEREVFZMAQiIq2WnZODb37fhjVbjqgcmzy6N6ZNHAI9PbHfL1HFy8nNxd4r17Di+Ensv3ZdLgErTm/PJpjSowv6eXtBj7t8EREREVE5MAQiohrvhO81ed+lrVeZnieWfb37+Sqc87+h1G5ooI95rz+FIb3bVuh5EhW1aPsufLv/ULEDY25khGc6tMML3TrDo549B5CIiIiIHgtDICKq8QHQrEV/yMdL5j5f6iDoSlAY3v5kBe5Hxyu121hZ4Mu5z6OZJwtAU+Ub3ba12hDIw94eU7p3kdu8WxhzKSIRERERVQyGQERU4wOgzKxs+W/xuDRB0JZ9Z7D4h/UFz1PwalQfX857HvVsLSv1vEm7xKem4vr9SHRwa6hyzMfJER3cXHHm1m25xGtQs6Z4oWtn9GjSGDo6Oho5XyIiIiKqvRgCEVGtCIAE8bikICgrKxtLftmE9TtPqhx7ok87vDNtDIyNDCr93Kn2E7V9LoSG4Y/jp7Dxgh/qmJjg4gfvwUBPT6Xva3164fKdu5jYqQMcLetq5HypeopPSIT/lUBE3I9CVnY2HOzt0K5VM9StY1Hm14pLSMRpXz9ExcTBwtxMvk59R4dKOW8iIiKqvhgCEVGtCIAeFQRFxSRgzuKV8L92W6m/KPo866URGDOkC2de0GNLycjE+vMX5C5fl8Ifbu+enpWEnZcC8GQr1W2khzT3kTeiwj795kec978id4ErzNDQAC+MH4P+PbuWesBO+17Et7/+ifT0jIK2v9dtxjOjh2HU0AEceCIiIi3CEIiIanwAJAo5C4q2okHQab/rmLfkb1kIumj9n8/emYxWTd2q+F1QbeMXFo5VJ09jva8fkjMe/qJdmJgVpC4EIlLn8tXrqGNhjhbenrC3t5FtF/wDcDMkDD+uWIMGTg7w8mj0yMGLiIzG1z+tQGZWFtq29IG3R2PcvR+JQ8dP4+//tsC1vrNsJyIiIu3AEIiIanwAJMIeofAxRRDUt2sL7Dp8QWXr7RbeDfHZnEmws+HyGyqfxLQ0/Ofrh1WnTivN+lGno1tDjO/YTn4OWeuHSuOdN19FU8/GslaUwtMjhuKrn1bg+GlfHD3lW6oQaOvuAzIAGtSnB16a+FRBu3eTRvj+t7+wfusuhkBERERahCEQEdUIJQVAimVf4nHRIGjnofMqrzVmcBf876XhMHgwg4ioLHxDQuVyr81+/kjLyipxe3exu9fkLp1kAWiismju3USlTQSI/Xp0kSFQalpaqV7n3MVL8nljnhyk1N67a0es3bQD14NDkJCYVK46Q0RERFTz8DcgIqoVAZAgHou2mQt/R3Z2jsrrGBsZ4r3pYzCkd9sqO3eqfTac98M/Z32LPd68vhMmd+6E0W1bcXt3qnDRMbHy3sPd9ZF9RVAUHRMHx3p2sKpbR+mYCIbEbKAjJ88i9M49NGcIREREpBUYAhFRrQiABFFA9cbte8jNUS6kKojNtme++CQDIHpsz3bugJ+OHFOZ9TOmbWtM7NwBLRvU5yhTpUhJTcW6LbtgZ2ONPt07P7J/fEKSvLe1tlJ7XNGekJhY4uu8u3CJ2nY9nRy5w1hqaipqo7RSzrYijn9txM8/x1+bpVWTn/+mpqaV8roMgYioVgRA0XGJ+PCrNTh14bra1xIVgcT28A72Vmq3jydSiEhIxD9nzsHIQB9Te/VQGRhvRwe0c3XBuduh6ODmiomdOsqCz2ZGhhxEqjQZmZn4bNkvSExKwoLZb8LYyOiRz8l6sFxRX1/95Z6BgYG8V7fTIhEREdVODIGIqMYHQMfPXcWCb/5BbLzy7l/6eroy/Ml5MDOouO3jiTKzs7En4CpWnzmH/VcDkZObC1tzM7zYrQsM1fwCvWjkkzL08XJ04OBRpRPLuj795icEh4TivbemonEploIJhob5waQoDF1csCQYPehXnE/nzVLb/vPKVZX6l8rqora/v+qO48/x12b8/HP8KwNDICKqsQGQOL5sxXas2XJE5TUaONpi8TuTEBOXpHbXMAZBJFy+cxdrTp/Df74XEJOSojQo0ckp2HX5itpt3ds2dOEAUpUQRZsXLv1Bbus+d+Y0NG3SuNTPtbKsI2v/REXn1xEqKjIqRt5bW3KXRCIiIm1Ra0OgtPQMXLx8Ve6Kce9+lFw//9Yrz5X4nEtXr+PIiTOIio2DhZkZOrRujm6d2hW7nW9Z+xNRxQVAIWH38d6Sv3A9WHVr7qF92mH2KyNhZmpc7K5hDIK0V2xKCtb7+mH1mbOP3Np9y8VLakMgoqoQGR2Lj7/8DnHxiXh/5rRSbQlfmFgyJopC342IRERkNBzsbQuOieL5VwKDoKurC5f6TpVw9kRERFQd1coQ6MKlK/js25+Rlf3wl8jEJOW/8Ba1bstO/LNxu1LbibPncfq8P2ZOfV5eJD1OfyKqGHl5edi85zSW/LIZ6Rn5SxkUzEyM8O60MRjUqw2Hm5Rk5+TgQOB1rPX1w76rgcjMUd09TkFXRwd9vT0xsVMH9Pfx5kiSRoTfi8CCL75DenoG5s+ajiaN3Mr1Oh1at8Cmnfvw17rNStcnW3btQ3xiElr6eMHM1KSCz56IiIiqK/3aunuGnr4e2rTwkbflK1aX2P/6zVsy0NHX08PIoQPQ1LOx/KvZvxu34+S5C9h7uAkG9u5e7v5EVHqKbd7Vzdz5aOZ47D3mh/3H/VWe59PEBYvefhb1HWzKXVuIam9w2H/pMly6U/KsHw97ezzTsR2eatcGDkW20yaqSqKg8/uffo3EpGT4eHng2GlfeSvMwd4OQ/r1LPj3taBg+ceo5t5N0L71w9lrwwb2wb4jJ+T1yawPI+HZ2A33IiLlbGYRCI0bMaRK3xsRERFpVq0MgVo3b4oV3y6Wu17k5OQ8MgTatveQvJ8w9kk8ObCvfNyiqScaODlg/mffYNueQ0qhTln7E1HFBEHvfPanSl+x/PK5MX3wyviB0NfXUzrGAIgUn5GujRupDYEsjI0xsnVLjO/YDm1dXbicl6qF7JxcGQAJAdeC5K0oH8/GSiHQ7fA72L73EPR0dZVCIMu6dfDum6/gyx9+x+2wO/ImGBsZ4uVJT8OzsXuVvCciIiKqHmplCGRWxl0c/AOuyVk9/Xt2U2oXf31zbeAsL5jEunx7W+ty9SeiigmCirKzroOP/zcB7VqoFkplAKRdssRyr2uBaGRnh8b2dirHRcjz4+GjBaFQd49GeKZDOwxt0Qymj9gZiaiqGejr4/lnRpfYx8bKUunfXo3d5XPcGzZQ6StqCX3/+Ye4dCUQUTFxsDA3k3+8EvdERESkXWplCFTWXTeSklNkUUQTYyOV4x5urjLUuXMvQoY6Ze1PROVnYmwIC3MTucNXUc09XfDV/CmwrKP6SwwDIO1Z5nUhLBzrzp7Hxgt+cjevV3p0w6JRT6r0berkiME+3vB2qIeJXTujgbWVRs6ZqDTErMYnBvQu02CJP0KJW3EMDQzQtmUzfgOIiIi0nNaHQEkPtgS2Kqb+g5hGLSQnp5Srf3HeXbhEbbueTg7qOzogNTUVtVFaWpqmT0Gr1ZTxz8jMwm9r9+PfbSfkL/rqBAbfxYXLN9CxlYdS+2m/IMxdslqlBtCiWePRyttFo/9t1ZTxr+7C4+Kx0c8fGy5cxM3o/C2uFf7zPY/Z/XvDQE95aaDw9YNwSAT4tfVnbHVWXT7/pmWcLUxERERUm2h9CJSbkysHorjdvMTaesXOMuXpT0RlExh8B4u+X4+Q8CiVYzo6YvZH/mMR8oiwR4Q7iiCopACoaFhENUtiejp2XL4ig59Tt24X2y8mJRVHgm6ir1eTKj0/IiIiIqKaQOtDIOMHS7rS0tPVDlDqg3ZFv7L2L86n82apbf955Sqt+EtlbX9/1V11HP+srGz8vm4/fv93H3Jy88NWBSNDfUyfNBSuzrZ4+5OVSsWiRegjagcJ6gKg6rgLWHUc/+pa5+fgtev496wvdgdcQXoxtaEURC0gsbNXO3e3EseY469ZHH8iIiIizdH6EMjKsi709HRx777qrANBbP0u2NlYl6s/ET3a5euhWLhsLW6E3FO79fuCt55Gwwb15L+L2z5e8bi6B0BUOkH3IzFs2XJZ56ckNmZmGNWmFca2b4PWDepzdy8iIiIiohJofQgkduBo2MAZN0PCEBQcAg/3hgWDk5qWhoDAIBgZGspC0OXpT0TFS0vPwA+rduGfrUdVav+IwqgvPT0Ak8f0lrvxPWr7+MIYANV8brY20IGO2mNG+voY1KwpxrZrg77enmrr/xARERERkSr1hW20TLeO7eT9r3+tQ1JysnycnZ2DX1atRXp6Bjq2aSl31ShvfyJSdfL8NYybvgRrthxRCYAaN3TEyi/fxIvj+ikFQEWDIBH2FMUAqOYIiY7Br0ePqy3+Lb7vI1q3VGrr5O6Gr8aNxpWP3sdvzz0rgyAGQEREREREWj4TKCU1DZ98vVypLTo2FnM/WSof17WwwOzXXyo4NrB3d+w9fAI3bt3GK/+bj/pODoiKjkVicjLMTE0wbuRQpdcqa38ieig+MQVLf92MHQd9VYZFzP554am+eG5MX7UBT2HqZgQxAKr+IhISsVns7HXeD763Q2VbB7eGaFFfdWtrsczrwLVAPNW+Lca0bQ1XLrMlIiIiInostTIEysnJwbWgYKW2zMysgjZrK0ulY0ZGhvhg1mv44Y+/cTHgGm6G5P9iIpZ0TX9+AhzsbR+rPxGJXb3ysPvIBXz5y2bEJeTPoCushZcr5r3+FNxdHEo9XIWDIIE1gKqn+NRUbPO/LIOfY0E3kVtk5o9oVxcCtWvoglPvvc06P0REREREFaRWhkBiNs7Cd2cUe1zU9SnK1sYK82e9hriERMTExMHc3KzEMKes/Ym0WXhEDL74aSOOn7uqcszUxAjTJw3BmMFdZNH1slIEQYrHVD0kpadjT8BVbLrgj/1XryEzJ6fYvhvPX8T8JwZDV1f5+6+jo74mEBERERERlU+tDIH09PTg3aRRuZ5rVbeOvFVWfyJtkpGZhZXrD2DFugMqxZsVoc1708bAwd7qsb4Ow5/qITkjQwY/W/z8se/qtUdu6W5maIjBzX3ksi/VqkBERERERFTRamUIRESaJ2b9fPHzRoTfi1E5ZlnHDLNeGoGBPVtztkct8u76zVhz5lyJfUQh537eXhjVpiUGNmsKU0PDKjs/IiIiIiJtxxCIiCpURGQcvvx1Mw6evKT2+JDebTHzxSdhWdecI1/LDG3RTG0IJJZ1dfdoJGf8PNGiGSxNTTVyfkRERERE2o4hEBFViKysbPy96TB+/Xcf0jMyVY6Lgs/vTB2FNs3Kt1STNCslI1Mu8dp84SLau7liaq8eKn16ezWBhbGxrAckgp+Obg0xonULPNGiORy4bJaIiIiISOMYAhHRYzt1PhBLftmEkPBItYWfX35mAJ4e1l1uAU81hwhz9l8NxNaLl7D3ylWkZmbJ9lvRMWpDICN9fbzVr7dc4vVEy2ZwrFtXA2dNRERERETFYQhEROUWEnYfX/++FcfU7Pol9O/eCjNefBL2NgwDaorYlBTsvnwV2/wv4VBgEDKyVYs7X7pzFzejotDIzk7l2Jv9elfRmRIRERERUVkxBCKiMktISsUva/Zg3Y7jyMnJVTnu6myH2a+OQsdWTTi6NcC9+ATsuBSAbf6XceJmMHJyVb+nRZ26GaI2BCIiIiIiouqLIRARlVp2dg7+23ECP6/ZjcTkNJXjxkaGeHFcP0wY0ROGBvzxUt3diIzCa3//i3O3Q0vVv4ObK55s2QLDWjaHs5VlpZ8fERERERFVLP6WRkSPlJeXJ7d8/+q3Lbh9J0ptn6F92mH6pCFc+lWD1KtjIZd2FUdXRwedG7nJws5Dmvsw+CEiIiIiquEYAhFRia7dDMd3K7fj1IXrao+38G6ImVOGo1kTF45kNZOdk4MzIbdxITQM03v3VDkudvLq5emB3QEPazoZ6umhh6eH3Mp9ULOmsDU3r+KzJiIiIiKiysIQiIjUCr8XjR/+2ok9R/zUHne0t8Lrzw1F/26t5HbgVH129Dp47Tp2Xb6CvVeuIS41VbaPbN0STpaqS7jELJ9jQTfRr6mXnO3Tv6kX6piYaODMiYiIiIiosjEEIiIl0XGJ+O2fvdiw+5Taos8mxoZ4fmxfjB/eE8ZGBhy9auBOXDx2B1yRwY8IdDJzclT67Lp8FS9066zSPqJ1S3kzMeT3koiIiIiotmMIRFQDhd2NRgMn2zI/x8bStNjjySlpWLXxEP7edATpGZkqx8Vsnyf6tsP0iUNga12nXOdNFVejyT/8jgx9dgVcwaXw4uv6KOy+fEVtCMTwh4iIiIhIezAEIqphflq9Gyv/O4Alc59Hl7ZepXrOCd9rmLXoD4wf3h0vjO2jdCwjMwvrdpzAH2v3ya3f1eneoaks+tzY1bFC3gOV39yNW7D14iXcjU8oVf+mjg4Y2KwpBjf34bATEREREWk5hkBENSwA+mXNHvlYhDqlCYIUAVBmVjZW/HdQtr02+Qn57817TuOPdfsRGaM+UGjp3RCvTx6KVj7ulfBuqDyC7keWGADp6+qiS2N3DPJpKsMfVxtrDjQREREREUkMgYhqCLGcS8wAUhAhzqOCoMIBkMLfm4/A0MAAm/eexv1o9WFCI1cHvDZpKLq192bR5yrezetsSCj2XbmGKd27wNGyrkofsWPXgWvKO7XVMTZGX29PeayftxfqmrKwMxERERERqWIIRFRDiBpAIvApHOqUFASpC4D09HRhamyEnx/MJlK349erEwZhUM82si9VvsikJBy4Gih38hK7eiWmp8t2FxsrTO7SSaX/QJ+mmP3fJrhYW8nQR9w6ubvBUJ8/zomIiIiIqGT8rYGoBhFBT2mCIHUBkCB2+1JX98fGygLPj+mLUYM7w9CAPxYqU25uLs7fDpWhz76rgbgQGqa2374rgWpDIGcrS5x8dxYa29txlhYREREREZUJf9sjqmVBkKAuAFJHhD/PjemDkQM7c7v3Sp7tcygwCHsvX8GRoBuISVFfgLuwI9eDkJGdDSM1M3w86tlX0pkSEREREVFtxhCIqBYFQW98+Eupnm9jaYHJY/pg1CCGP5XtvQ2b8fOR46Xu39zZCf2aesnaPqLIMxERERERUUVhCERUi4KgR7Guay63iX96WA8YGxtW+jlqi7y8POTk5kJfT0/lWCM7uxKfa2ZkiF6eTdDP21MGP+qKQRMREREREVUEhkBENTwIevuVkVj03bpHzvyZNLo3BvdsCWMjwxobAAVHRcPdzrbSn1MacSmpcmnXgWuBOHQtCG/1743nu3ZW6dfbq4lKm4e9Pfo19UT/pt7o5N6QRZ2JiIiIiKhKMAQiqqEzTy5euSW3ez948lKJNX9efmYgnujbDkaGBkhNfXQtmurqs5178O3+Q/jzxclyO/TS2H81EJN+W4k3+vbCnMEDHuvri/o8Z2/dxtGgG7K+jyjonJuXV3BctKkLgdxsbdCivjNcbazRxc0VPTwawdPZ+bHOhYiIiIiIqDwYAhHVIFlZ2dh3/CLWbD6KKzfU7ypVWFJymtz2XQRANZkIgL7YvU8+FqFOaYIgRQAkwhvFc8sSBInlXRfDwnE06CaOXL+B07duIb2EZXeiT1ZODgyKLAnT0dHB/v+9Ie9rcghHREREREQ1H0MgohogPjEFG3adxLrtxxEVm1jq56nbPr6mEcu5xAwgBRHqPCoIKhwAKYjXGNuuzSOXhonnrjh+Csdv3ERienqpz7OuiTHC4+LlzJ+iRABERERERESkaQyBiKqx4NAIrNlyFDsOnkNGZsnFn/X19bB03gvycXHbx7fydkFNI0IbEfgUDnVKCoLUBUBim3XRtzS1gcJi47DzcsAj+5kZGqKrRyP09myCXp4eaGxvx7CHiIiIiIiqNYZARNVMdnYODp8OwPqdJ3DmYlCpnmNooK8020fd9vHi34tmjUfHVh6oaUTQU5ogqKQASPQJj4vDiRvBOH4zGF0bN8JT7dqofK3uTRqpPQexXXsb1wbo7tFY3tq7ucrXJiIiIiIiqin4GwxRNXE/Oh4bd53Cpr2nEV2GJV9FA6Dito8X93OXrJZBUO8uLVHbgiChaABkqKcnizVvPO+Ht9dtQGhsXMGxmOQUtSGQu60tnC0tcSc+Hs2dndDNoxF6NGmMTu5usDA2rpL3SkREREREVBkYAhFpUG5uLk77Xcd/O07g6NkryM19uNtUUZ7uTrh5OwLZObklBkClCYL+/c4ZDZwqftt0TQVB4376TW3/zJwc/Hj4qNpjx28EIzsnB/pqCjn/8cJEuFpbw8bcrBLeBRERERERkWboaujrEmm1mLgk/LnhIEa9uhivf/CLXP6lLgASdX4G9miNFUvewN/f/A/PP9WvVAFQ0SBI9FUYP7x7jQyAigZBj7sUKyk9Hf537qo91salAQMgIiIiIiKqdTgTiKgKa/0cO3cVW/adwfGzV+UW5MVxsrfGqEGd8GT/DrC2tChof2X8QHm/8r8Dpd7xq/CMIBEAvTC2D2o6RRBU3Ayg4jjWrYsujd3QpZG7vIlizkRERERERNqCIRBRJRNLuLbuO4Mdh3wRG59cbD+xDKlbO2+MHtIFnVt7Qk9P/UQ9EQQN6dW2TLN5RBD073dvw8bSFDVFdHIyzgSH4PStEJy5dRtDWzTDa316luk1XKyt8gOfxvmhj6uNNXfwIiIiIiIircUQiKgSJCWnYc9RPznrJ+B6aIl9bSwtMHxAR4wc2BGO9talev3yLOcSz0lNTUV1lJeXhxuRUfmBT3AITt0KQXBUtFKfuibGBSGQYhew4oidvL55ZgzGtW9X2adORERERERUYzAEIqogGZlZOH7uKnYeOi/vFcWY1dHV1UHnNl4Y1q89enbwgUGhmj3aIDkjA36h4Th/O1QGP2dDbiM2peSA6mxIqCykfTAwSGUXsKKyc3Mx898NsDW3KNg+noiIiIiISNtp12+eVCNkp6ch/tZ1xN0MRFr0feRmZ0NXXx8mtvVg1cgTlm5NoG9sguogJycX5y/fxM7D53HghD+SU9JL7O/iZIsn+3XAkD7tYG9Tt9xfV8yScbezLfNzHMw0vxzsq70H8OmO3cjNK34nNHXSs7Lwz1lfvL1uo1IAJApEq9sivvD28QyCiIiIiIiIGAJRNZGXm4uIC6dwc+d6RPieQl5uTrF9dXT14NC2ExoNHg2H1p2go6tb5UuXAoPvYNeh89h95AKiYhNL7G9ibIh+3VpieL8OaNnU7bFr0ny2cw++3X+oTOGGYvnU1B5dMbNfb1SmyKQk+N4ORWM7O3jUs1c57mxlWaoAyNbcDB3cGspbR7eGiElJwYsr/lIbACnGQd328QyCiIiIiIiI8nEmEGlcVMAF+P6wGEnht0vVXwRE984elzeL+q5oO+0d2Pm0rvTg59rNcOw/7i9vYfeU69UUJYKets0bYXCvNujfrRVMTYwq5DxEAPTF7n3ycWnDDUUAJAKRrw8clm3znhxaIeeTmpmJy3fuytDH93YYfENCERYXJ4/NHtRf3opq69pA7Ws1qWdfEPh0cHeFu61tQWAm3sOjAqDCu4YxCCIiIiIiIlLFEIg0JiczA/4rv8eNbWvL/RoiODo0dxoaDx2LFpOnQ8+wYsIWRfATEBSG/ccv4sBxf9y5H/vI5zRxd8Lgnm0woEdr1LO1REUSy7nEDCCF0sxyKRwAKSw/cgzjO3cs83KytMwsBNy9C7+wcFwMuyPvAyPuFzurR9T7UUeEO2KXroY2NjIQatvQBe0busLazKzY9130PagLgEoTBB2dM7PM75uIiIiIiKi2YAhEGpGVmoLjn8xG1CXfx38xsbPUtrVIuH0TXd/7HAam6sOE0tb4uRR4W9b3OXDiEiKi8me1lMS5njUG9myDQT1bw93FAZVFhBdlmeWiLgAy0tfDL88+XaYg5Jt9B7He9wIC70ciJze31M87Hxomg7Siy9/Ev8/Nm1PqZXHiXN/o26tgBlRJAVBJQZB4DQZARERERESkzRgCUZXLyczEmSVzSwyAbJu2hI1XC1g2bAx9E1Nkp6UiPuQGYq75I/rKRbXPEa8ngqXu85eWaUZQaloGTl0IxNEzV3D07BXEJ6Y88jk2Vhbo06WFDH5aeDV87Do/pVXa5U7qAyB9/PLsOPRq4qEyw+fqvXuyfo+FsbHK17yfmIgr9yJKfY6OdesWzPDJzMmRX7eoso7XnMED5H1ZaiEVHisRACleg4iIiIiISFsxBKIqd23Nz8UGQK69h8Bj2DjkZKbL3cHELmGFdwdrPmkadA2McGLlL0jzP67yfPG6l/78Aa2mzCjxHO5Hx8vA58jpAJy9GISs7OILUSuI3bxE8NO3awsZ/OjpVW1B6tIGQUJxy6caW1vhSNANXI+OlbV8Au7eQ9D9SLmka/VLz2OAj7fK12vVoH6x52JuZISWDZxln3YNXWX442RZscvgFESIM7ZdmzLN5hFjxSVgRERERERE+RgCUZWKuXoRIbs2qLSn5unjgq4zjMPvIHTWCyXuDgYdXQTnWSI81wXtdO7CVOdh2CEEbVsL5869YefTqqAtOycHlwNDcep8II6duyqLPJeGg52VDH3ErVkTF+hW8U5kZQ2Cxv30m0pfPV1deDs44PU1axGZmFTsa14MC1cbArV8EAKZGRmiRf38wEe0iXt3W5sqHZPyLOfiEjAiIiIiIqJ8DIGoSreBv/TrVyrt6Xl6yIQeuubdRnpQKXYIy8uFO2LhrhuL+Dwj6CEPRigUGuXlwfeHT9Fy/g847ReEE+cDcebidSSnpJfqPN0a1EP3Dk3lrB8fjwZVttSrIoIgdUQdH7/wR4deF8PvqG1vbG+Hk+/OQiM722oTghEREREREVHZMQSiKhNx4RRS7qruGGWskwPjwiFOGVjqZBS7a9gbU97GLVg98jXETJlWPm7o0cFH3ho4Vc/do1IyMhF4/z6u3YuQO2bNHTqoIAhSNwOotEQdoGbOjsUu+xLjI+oFERERERERUc3GEIiqzM2d66t0tFvr3MOtPPUhkJmpMbq09UKPDk3Rpa036lqYoroQs3puREbh6r0IGfiIe7EVe0iM8hb1U7p3hUPdOmV67QZWlmjq6ICWLg3QzMkRzZyd0MDaqtrOdiIiIiIiIqKKwxCIqkR2ehoifE+Vun9YXh1E6NbFgBFDoGNojL/W7oZ1bhKckYQGOomleo1GiIMBcpAFPfnvJu5O6NzaE53beqGlV0MYGGj+45+QmobdV67ixv1IXH9wuxkVXaqt2K9FRMjCzmI5WHF0dXQwqXNHjGrbCj6OjjBAnmw3Na0+oRcRERERERFVDc3/FkxaQezyVWKx5weu6NTD8RwnxMIUYoXYgfWXHxyxeXADbPJS0U4vHK3yokp8LV0d4ImWzmjZqxc6tfaErXXZZs1UhLy8PNxLSEBqZpasrVNUTEoKpv31T7lee4ufP/49e77EekBi1681Z85hcHMf1DU1QWpqarm+FhEREREREdV8DIGoSojt3kuSrKuPVfWaorV3d8QfuCjSi2L73jE0ha+zF5qm18PzUddgnlt8CPJUR1d49G2PypaUno5b0THydjMyCkHidj8SQZGRspZPH68mWPvqFJXnuVhbwVBPD5k5jw7I7MzN4eXoAG/HenI+z8rjp5Sep9gGXihu+/jOrg0q9H0TERERERFRzcEQiKpEWvT9EgOgLx1bIsLQDP43/eGgnwfjTPV90w2BCGddOc3niqk1ljq2xMx7F4sNgtJiIlGRRMjjFxom70Vx5vzgJxqRScklPi/ovvpZS/p6enIL82sRD8enjrExvBzrwctBBD4OBY/tLMzl8f1XA2Wooy4AEoWiBXXbx4t///LsOPRq4lEhY0FEREREREQ1C0MgqnRZWdmIiYkv9vgftp4yAJJ0dZBgpQPj++pnAiXa5AdACrGmdeEw+Q0k/7FUbf/crKwyLd2KTk5BaEws3OxsYG324JwKWXP6LJbuPYCyCouLQ2pmJkwNDVWOvdKzGzKzc+BRz04uGXOsW7fYQs2KAKjwErCiAVBx28eL+5f++ge/PPs0hrRqWeb3QERERERERDUbQyCqUMmp6Qi6dReBN+8g8NYdXA++i+DQCHTNuYmOanKNS3l2iE6wBEzyZLhjkpoH+8jil4LZReQi0kEXaaY6SuHHmZBruH1wh0p/XQMDpZAnLjUVobFxCIuNw+2Y2Pz72Pz7sNhYWbtH+HnSeIxq00rl9dxsy7Z9vMGDmT4e9nZISs9QGwJN7NyxVK8lZh6VJgAqOQjKkUHQUWdneV5ERERERESkPRgCUbmIQOV+VDxu3L6Ha8H5YU9g8B3ciYhR2z8FBoCaEOhUXn2YpgH2EblIqqsL+/u50Ck+A5LHRN84ZwP88srD8MNr9ES1IdCB0Lv4/NcVcnaPCH+SMzJK9f7EMi91igtOnC0t5TE3Wxs5i8jD3l7O7HG1tpZLviqCeP03+vbCF7v3PTIAKikImtqjGwMgIiIiIiIiLcQQiEqUk5OLe1FxuBV6H8FhEQ/u7yMkPBKpaaULVIQs6Kq0ZesaYPjoYfBp4oL09Ex8+M0/yC4UAOXpQM76EUTwowiHxL3t3WxsPHgGa8/5Iic3D79OngB9E1NkpynvfnUhIgq7YoovHF3SrBt1xHKt57p0kkGPmBXUyM4WLtbWMDF8OOOoMs0ZPEDef7v/0CMDIHVB0NQeXTGzX+8qOFMiIiIiIiKqbhgCUcEyrvB70Qi/F4Pbd6JwKyxChj23wyORkVn2EKUwYyNDuNStAxTJVfRzszCxtzcuR2bgvc9XITs7RyUAEsu+BPG4cBCUm5uHk7v8ZHuOhZA/TGQAACwDSURBVD7ibwerBECCvZEBkFu68zQxMEADayu42FjDx8lRbR8bczMseWoUNEkEQWPbtSnTbB4RBB2dMxMOZqaVem5ERERERERUfTEEegxXrt/A4RNnEB0TBwtzM7Rv3QJdO7RBdV2+lZCYgrB7MQiPiEbYvWiE3Y3BHfk4BnEJJe9uVVrWlubwdHdG44aOcHSygZVtHegY6yFmy98qIZBw5Ofv8EmAPjKzsosNgATxuGgQpFgaFols+K/9Q+351NPXAR7sNCa2Yq9vbSWXaImwx9Xmwb34t42V3IK9uILM1U156vmI56SmqgZlREREREREpB0YApXThm278ff6rUptR0+dw+nzFzHjleeqTZiw+8gFrNpwSAY/ySnpFfa6+vp6qGNpBpO6JtA3N0KuiS5SDXIRl5WBHcl3kHDxBnDxYf+xMTfRR83rpPkfh3NuU9yCVbEB0KOCoE4RMbh//4ra82zl5IDtT06Ei7UV6tWxgK6u6rI0IiIiIiIiIm3AEKgcrt8MkQGQKPj75OC+aNqkMe7dj8S/m3bg+GlfNPPywIBe3VAdZGRm4drN8PK/gK4OmjR0hHuDenBr4AB3F3FfD/UdbdB+4ecIi4sGxCSiR0wkyi4hFHtC5zrW5DVHvL4F7tjlqQ2ACt6PmS4c2jkj6vwd5ObkwhapGG14SxQdUsveygot3BuW+u0SERERERER1VYMgcph+96D8v6Z0cMwYnA/+bh186Zo4OyEDz//Ftv2HKw2IVADx0cvGxKTanL0gSwDINtAB1nisaEOsgwBHSM9nP1yptqZTaI+TlhcXKnOI07PqNhjpjrZGK9zCUk9x+Kj23fF2rVi++bm5cEvMRJznxuIYyv/wXD9YOhmphXb38TGvlTnR0RERERERFTbMQQqB/+AQDkLaGCRoKe5dxO41HdCaPhdRMXEws7GGppW38FG3uvq6iBDL08p6JH38t9iXVUxs29yc5GamQUzI0OVQ7bmZmqfImrv2Jiby+MiKLKzsEDDNHdg281iz9ME2TA5uAbPmttjd10XRBiaFmyBLhTe4twqNRG3/vsOI3MjCur9FMeqkVfJHYiIiIiIiIi0BEOgMkpITEJicrIMe0xMjFWOe7i5yhAo/G5EtQiBbK3rYPMv7+H8vTt4fuVf5XqNhLRUtSHQC926YFjLFjLoyQ988oMfcyMjlZlD2elp2LRjFfJyH+4Apk6n5Eh5Czaui6Ydu8IjMgT6xib4pW0TbNm9A66p8WickViq89bR1YOlm0cZ3y0RERERERFR7cQQqIySUlLkvZXY8lwNK8u68j45Ob9fcd5duERtu55ODuo7OlToLk5WdUxQJ84Q9hbmqGtigromxrCU92oemz54bJz/uI6xMQz19dWeTzc3V9UvlpuLtDT1y7PsWrVH5PlTpTpn9/QEpB/egdOHdxS09S3Lm5ZfrwMyc/OQyR2xChT3vaGqwfHXLI4/x18wNTXV8EgQERERaQ5DoDISxYiF4naZ0nvQnp1T8oyXqtbe1QXn3p2l0XNw7T9cbQgkKgA9zl5qxT1ffD0iIiIiIiIiyscQqIyMHiyLSk/PUHs8LT1/G3Zj4+ILIQufzlMfyPy8clWt/Uula6eeuOLkgpS7oUrtaTp6SNEzgF122bewj9I3hrVuHvQylb8fFvVd4dqpB3S4JbxatfHzVZNw/Dn+2oyffyIiIiLNUT+dhYplbWUJPT1duSW8OncftFeHekDVjQhkmk+ZodJumpcDk5xsGPcfCcf23WQtn5JfRw8G3q2ww9oN1no6KgGQKHLddtq7DICIiIiIiIiICuFMoDIy0NeHa31nBN8Ow41bt9G4UF2ctLR0BFy7ASNDQzRwdizrS2sFG++WaDhoFEJ2bVBqN8/LRvrejTDsPQR9vvgVuVlZiLt5DWkxkfKxroGB3O5d7PYlHt/Ytg5Drvqp/RoeTzwFO59WVfSOiIiIiIiIiGoGhkDl0LVjWxkC/frXOsybOQ3mZqbIycnBr3+tlcvBundqJ4MgUs/rmZeRcuc2oi75qhy7fXCHvNl4t4CtdwtYNvSQu4OJ3cXiQ4IQdmwfYq76Fzu0ds3bovmkaRx6IiIiIiIioiIYApXD4D49sO/wcQQFh+CVWe/DxdkRkVExiE9MgqmJMZ4eObQ8L6s19AwN0fW9z3H8k9lqgyBBBD0lhT3FBUDidfUMS67HRERERERERKSNWBOonMWh5896Hc29m8gC0ddvhsgAqL6TA97/32twsLer+O9ULWNgaobu85fCY9g4WcPnsejoyNcRrydel4iIiIiIiIhUcSZQOdnbWuPD2W8gJjYO0bFxsDA3g5NDvfK+nFYSM3ZaTZkB58694PvDYiSF3y7za4hdwEQRaNYAIiIiIiIiIioZQ6DHZGNtJW9UfnY+rTFw2Rrc9zuNGzvWI8L3JPJyc0rcHcyhbWc0HjIa9Vp15C5gRERERERERKXAEIiqzfbxDm06y5ssAn0rqNjdwSzd8otFExEREREREVHpMQSiakcEPGJnMHEjIiIiIiIioorBwtBERERERERERFqAIRARERERERERkRZgCEREREREREREpAVYE4iIiIioGouLT0BEZDSMDA3h3rBBmZ4bn5CIe/ej1B7T0dGBl4d7BZ0lERER1QQMgYiIiIiqYfCz/8hJnPW7hJshocjLy4OTQz0s+/T9Mr3OOb/LWL5itdpjBvr6+OeXryvojImIiKgmYAhEREREVM0EBAZhzcZt8rFlHQvEJyY91us5O9aDhbmZSghERERE2oX/9yciIiKqZqwsLTFm2CC0a9UMbi4NMO6lNx/r9Z4Z+QQ6t29dYedHRERENRNDICIiIqJqxsezsbwJOTk5mj4dIiIiqiUYAhERERHVcrm5uQgJuyPv69nZwszURNOnRERERBrAEKiaiYuLR1ZWFn5euQq1UW5OrrzX1dPV9KloJY4/x1+b8fPP8RdEADJ8yGBom29/XYXs7Gz5WFdHBy18vPDihDGy2PSjvLtwidp2fZ0cGBoa4MffV6I2EoGZoKvLaxaOv/bh55/jr81yq8nPf0cH+0q5ZmEIVM2YGBujNgu/FyHvXeo7afpUtBLHn+Ovzfj55/hrM319PTRwckBKahqiY2Lhd/kq3l34JT6b/zYc7O3K/bqGBga19g87/JnB8ddm/Pxz/LVZeC3/nZUhUDXzxqsvoTZT/DXx5ckTNX0qWonjz/HXZvz8c/y1UT17W8ybOQ2tmnlDR0dHtt27H4Uf/vgbVwJvYM2GbZjx6vMlvsan82ZBG/FnBsdfm/Hzz/HXZu/W8t9Za+efboiIiIgIzb2boHXzpgUBkOBYzw6zpr0o2y5fvc5RIiIi0iIMgYiIiIi0TB0LcxgZGSI9I0PTp0JERERViCEQERERUS2Vkpqqtv3kuQtIT8+AvZ1tlZ8TERERaQ5rAhERERFVMzk5Obh+M0Rpl5LMrExcvX5TPjbQ10djd9eC/nEJiYi4HwUba0vY29oUtE+b/SE6tWuFJu5usLWxkqGQf0AgDh4/LY/36dapit8ZERERaRJDICIiIqJqRuziNe/Tr5TaomPiCtqsrSzxy9KFBcfOnL+In//8F08O7IPJT48qaDcw0Me+wyfkraje3TpiaP9elfo+iIiIqHrRycvLy9P0SRARERGRcgj0ydfLix2SuhYWmP36wx1Fz5z3x+Zd+9CtY1sM7tuzoD0zKwunzvkhIDAIkVEx0NPTg7NjPXRq2wreTRpxyImIiLQMQyAiIiIiIiIiIi3AwtBERERERERERFqAIRARERERERERkRZgCEREREREREREpAUYAhERERERERERaQGGQEREREREREREWkBf0ydANVdCYhKiYmJhbGwEx3r20NMtOVPMzc3F3fuRyMjIhIO9LcxMTSu0v7ZKSk5B+N0I+bixmwsMDAzU9svJycGdiEhkZ2fL75eJsVGJr1vW/tooPSMDEZHRMDTQh4O9HXRL+G9AbNN8NyJSPnZysIdhMd+n8vbXxrG/HxkNAwN92NnawEC/5P+dpaWL71WU3B7bqZ499PX1KrR/bZWalobQ8HvIy8uDl4c7dHR0Suyfkpoq/5swMjKU41bSfxNV0Z9Igdcs1QOvWTSH1yyaHXtes1Q+XrOUHkMgKpO4+ARs23sIx06fQ3RMXEG7makJBvftibFPDlb7y9LJcxfw++r1iI2Lz//g6emhR5cOmDJhrLyYf9z+2uy731bhnN9l+Xj5Fwtgb2uj0mff4RP4+78tSExOlv8WgcKA3t0w6akR8pfcx+2vbeITEvHn2k04ceY8srKzZVsdC3OMHNofTw7sq9J/w7bd2LhjL1LT0uW/TYyNMWJIP4wZNkjt65e1vzYRwcyf/27C6fMXC9rEz4d+Pbti/OgnVMJiEWb+tW4zdh08iszMLNlmYW6G8aOHYUCvbiqvX9b+tZEI3vcdOYFzfpdwJfAGsnNyZPuan78qNowUF7i//f0fjpw4U9Df2soSL44fg07tWlV5fyKB1yzVD69Zqh6vWTSH1yyVj9cs5cM/oVGZBAQGYdOOvTIAEr/0urs2gGXdOkhJTcN/W3fhx5WrVZ5z4dIVLP3hdxno2Fpbwc2lPvKQhwNHT+KbX1Y+dn9tduLseZz3vyJ/GSrOoeOnsXzFahno1LOzRcMGzjK42LbnIH5f/d9j99fGXyrmfrIUh0+ckYFBA2dH+RkVgc2/G7erDXT+Xr9VHnd2rIf6Tg5IS0/Hmg3b5LHH7a9NxCyQ9z/9WgZAYuaPawNnOT5i1uCuA0fw2bc/qzxHfGa37D6ArKxs2V/M2BJ/if5p5T/ys/64/WujqNhYOQ7+VwJhaGggb4/y9Y8r5M/o3Lw8+d+DrY2V/Bn+5fLfcTHgWpX3JxJ4zVK98Jql6vGaRXN4zVI1eM1SPpwJRGViZWmJZ8cMR/dO7eRFuCCWCew/ehI/rliDg8dOY9yIobCzsS54zop/NsgL9wmjh2Hk0AFyOcHdiPt4f/E3OO17EQHXguDj5VHu/tpKBG/iF7Wh/XshJOxOwaypwkR4s2rtJvl46vPj0a9HF/n4ZkgoPvjsW+w5eAyD+vSQQUZ5+mujn/78Vy5H8fZohDdfmVzwWRdBwc79R1SWH6zbugt6erqY8/rLaNuyWUHQufibn+Sxvj26oG4di3L11zbHz5xHbHyCDCbn/W86rOrWke0hoeH48ItlCAi8geDbYTKcFsQySfGZFUtWP5j1Opo0aijbRZiz7NdV8rPetWPbgqVkZe1fWxkbGmFIv55o16oZmnp64O0PP0PYnXvF9hdh0Vm/S/IPAh/NeVOGl4UDzRVr1uOrhXOrrD+RAq9Zqg9es2gGr1k0h9csVYPXLOXDmUBUJj6ejeWSF0UAJIiQRoQFrZp5y3+LX5AVboWGy1+sxF/URz0xsKCehJNDPTw9cqh8fOTU2XL312Z/rdsk6/88M/KJYvtcvnod8YlJaOnjVRDoCI0aumD44L4ybDt2xrfc/bVN+L0InL3gD3MzU8x542WlsFMsGXpq+GCl/mcvXJJLinp27lAQ6AitmzdF726d5LHCy5rK2l8b/6IpiKWJigBIaOhSH53atlLqIxw/4ys/s08M6F0Q6Ai9unZEmxY+8rPuHxBY7v61lfj5/uKEsWjp412qwOvYqXPyftyIIQUBjSB+houf5aF37smguqr6EynwmqX64DVL1eM1i2bxmqVq8JqlfBgCUYVRLBmwKxQQBQWHyPu2LX1U+rdv1Vze3wi+Xe7+2upa0E1Zt+fVyU+XWCMp6MFYib/ol278y9Zf25z3D5D3PTp3kKGPWGcvxkPdLCwh6Fb+57ndg7ErrH1rNeNfxv7aRhEAREbFqBy7HxVdEBgX/Ty3b9m8+M/zgzEvT396MG63Hoybus+tup8zldyfqDR4zVJ1eM2iGbxm0Sxes1RPvGbJV7vntFOVFj674H8FLZp6yhoaCori0WJ3qaLE1H5TE2O5w1h5+2sjsWRr+Yo1slC2+Et9SaIfjJW68XR0yG9THv+y9dc2YeH5S2LELBGx/HH/kRNy5ojg4d4Q054fD5f6Tmo+zw//m1BQjLH6z3/p+mubzu1aY6vbQWzdc0BMQUQzLw+5e92JMxfkkiExe63w2EXHPhhPB7vSff7L2J8ejFtMHIyNDGFlWbd041zJ/YkehdcsVYfXLJrDaxbN4jVL9cRrlnwMgahCtuP7/Ltf5YyUqc9PUNnRRTA1Nlb7XLHrUXxiYrn7a6ON2/fK+jPPPT3qkX0V4ynGrSgjQ0NZeyY9PaPc/bVNcmqqvN994CiuBt2Uy8HEznh370fKWWzzP/sGXy54BzbWVsrjaaI6niLQLNynPP21jdiZbsGcN7Dynw2yQL245bfrYuJTIzB8kPLObIrPqrrPc8F4pmeWuz89GLeMDNStY652OBQ/y4t+ziuzP1FJeM1StXjNojm8ZtEsXrNUT7xmyccQiB5LckoqFi79Qc4gmT/rNdjbPqyRIujp5q84zMnNVft80V54y/Gy9tc2okC2KIb6+pSJcjnSo+jp6hU7nqKgd25uHvT09crdX9soxud68C2888bLaN+6hfx3YlIyli7/HZeuXpc7Sz3/zGjlz3OO6ngqxljt57+U/bXxL8pim/CDx07JmSFidpRoi7gfhTXrt4oPKUYM6V/QX4RDirHTfTC2CooxVvQpT396MG66umo/s/ljmaP2c16Z/YmKw2uWqsVrFs3iNYtm8ZqleuI1Sz6GQPRYBc8++vJ7WQ9FBECN3VxV+iiCClE7pSixvXZScjLq1qlT7v7a5seV/8Chnp3cEv7q9ZsF7ampafL+5q1QxMTGy6VJ+vp6MC9hPMVOVCLYsTAzLWgra39tY2FuWjDFVxEACXUszPHChLGYMW8RrgUFqx1PB3tbpddSjLG5mVm5+2ubLbv2y23CRaHmKc8+BRNjI9kel5CIJd//ilXrNstCwaKQtuLniShUL8aucBHv4sazrP3p4biJotnZ2Tny5476cTOtsv5E6vCaperxmkWzeM2iWbxmqZ54zZKPf9Kkcq+nn/vJVzIA+uDt19UGQIKzk4O8v/GgsGdht26Hy7/u1i+020tZ+2ubgGtBcqvmeZ9+pXQTW7gLS374Tf47KSVF/ru+U71ix1NRGM3ZMX/My9Nf2zRwdpT36mqTKHarKrwspf6DsVI7ng8K2Rb+PJe1v7bx9bss7yeMHlYQACnGftTQgfLxOb9LBe2Kz6r6z3OI0me+PP3pwbg5OSA3NxfBt8NUhkRRsFnx2a6K/kRF8ZpFM3jNolm8ZtEsXrNUT7xmyccQiMpMbMUrAqC0tHQsmPMm3F0bFNtXFG7V19PDmfMXVXZQ2r7vkLxXbC1fnv7axsvDXe3N1MSkYCt38W8xhoLY6l04cvIsUh7MFlLYue+wyniWtb+2adUsf4bJxctX5ayEwnwv5gcUhWfwKMZz35ETclqwgnjunkPH8l+zuXe5+2ub3Lz8JUGiBlNRd+5F5PcptJRRMZ6ihpOYxaYgfnYdOnb6QR/vcvenB+PWNH/cdh04ojQk4mf4KV8/6Ovrw8fLo8r6ExXGaxbN4TWLZvGaRbN4zVI98ZolH5eDUZmIv8Qu+GIZ0tLTMWXCU/KXo8LLkgQnB3vUrWMhH5uZmqJnlw7Yf/QkPvxiGcYMGyQLfJ44e0EGDaLYap/unQqeW9b+2mbRezPVtouxunQlELOmvwh7W5uCdrFTW9uWPvC9GCC/byOH9IexsREOHD2FiwHXYGNliU7tWpW7v7YRn+22LZvJwGfBkmUY2Lub/MxeuxGMrbsOyD69unQs6N/UszHcXOrjVmg4Fn21HEP79ZS7WolA7XbYHXnMx9Oj3P21TTOvJnJG1Jff/45hg/rI8RDLRAMCb2DHg5CyeVPPgv7is/rXus2yVpOYJde3e2dkZGZi8879iI1PkJ918T0tb//aTMywUQSRYgyEwKBgGbgodshT1OERP5PXb9uNwyfOwEBfH53bt0ZSUjL+27Yb6RmZGNCrqyygrlDZ/YkUeM2iWbxm0Sxes2gWr1mqDq9Zyk4nr/CfO4keYdueg/hjzfoS+7zx0iQZ5CikpKbi/cXfyF9iCxO/TMyc+jw6tmmp1F7W/vQwBFr+xQKlEEiIiYuXS8Qio2KU2kVh3bkzp6Fpk8aP1V/biBok7y/+GncjVGejDOnXEy9OGKvUJpbvzV/8DRKTk5Xa65ib46N33iyYrl3e/tpEzE5b8MW3uBmiuixI6NaxLd565Tno6OgUtF25fgOLlv4gw4LCxH8nC9+bIYPNwsrav7Z6aeY8ldmYhf3x7WJZC0vh5LkL+PrHFcjOUZ4hJ4I6MWO0aEhT2f2JBF6zVE+8Zqk6vGbRHF6zVB1es5QdQyAqkxNnz2P73vxlWcUZ++RglSVDmVlZ2HPwGC5fvY70zEw4O9TDwD7d4VLML7Rl7a/tRDAn6pjMmj6loDZN0S1xd+0/ImesiKVFrvWdMLBPD5Xiw+Xtr21E3R+xPOvKtRtIS8+Qu+J169S22KVC4iJs54EjsnC3IJZQDu7XU+33qjz9tYn4PB47fU7OTIuNS4Curg7s7WzQoXVLOVNHnftR0dh14KgMlsXsFbFEYVCfHsUGB2XtXxt9vuwXJCQlFXv8vbemqoxHaPhd+d/FnXv3YWRoiGbeTTCgdzcYGhiofY3K7k/Ea5bqidcsVYvXLJrDa5aqwWuWsmMIRERERERERESkBVgYmoiIiIiIiIhICzAEIiIiIiIiIiLSAgyBiIiIiIiIiIi0AEMgIiIiIiIiIiItwBCIiIiIiIiIiEgLMAQiIiIiIiIiItICDIGIiIiIiIiIiLQAQyAiIiIiIiIiIi3AEIiIiIiIiIiISAswBCIiIiIiIiIi0gIMgYiIiIiIiIiItABDIKIabPX6bVi4dDli4xM0fSpaOZb3o6Llc/7dtBNVITs7G58t+xUbtu2psZ+dC5euyq977PT5cr/G3sMnsOirH5Gcklqh50ZERJWH1yyaHUtes5Qdr1motmIIRFSDbdyxF9/99jcSEpI0fSpaOZZR0XHyOVv3HERV+HPtZnz14wpYW1nW2M/OlcAb8uueveBf7tdwdrCXr7Hs11UVem5ERFR5eM2i2bHkNUvZ8ZqFait9TZ8AEZXfhNHD0KNTO1hb1eUw1vKxTEpOwZfL/0C7Vs3Qq2uHWv9+S9LUszGG9O2Bn/9ci8njRsLJwV7Tp0RERLX4/zvVTXUfS16zPMRrFqqOGAIR1WAjhvTT9CnUGtV9LNds2I6Y2HgsmP26VrzfR5k0bgS27zuM31evx7yZUzV9OkREVMv/v1OdVPex5DWLMl6zUHXD5WBERDXAqnVbYGpigsF9e2j6VKqF7p3awsHeFv9s2oGsrGxNnw4RERE9wGsWZbxmoeqGM4GIanhhwODbYZj2wnhYWz6cEvzrX+sQERmNmVOfR15eHvYcPIbg2+GoY2GGgX26w8XZsaDv5atBOHbaF0kpKfDxbIxBfbpDV1c1H87MzMKJsxdwIyQUsXEJcgpy57Yt4ePlUeI5njnvj9Pn/eUv6p6N3dCvZ2fEJyTil1Xr4OHeEONGDFZ5jjh+6MRZ3LodhpzcXDRs4Iw+3TspvcfSuhsRiSMnz+He/UgYGRnCxdkJPbu0h4W5WanGUuGc32WcPOen9D4epaLeh9/lawgKDpHfGzNTE5XjRb/fuw8cRXBouOzbs3N7ORW5KHXv9+Cx0zh+5rx8f2OfHKTynC27D8A/IBCtmzfF0P49C9pzc3Nx4qwf/K9cQ1JyKmysLdG1Qxt4e7iX6X1mZGZi/5GTuB1+F2lpGXB2rIe2LX3Q2M1Fpa/4jA7o1VXWSTp4/LR8TERE1RevWR6N1yy8ZiGqCgyBiGp4YcCjp3zl2vDCwYKYhhsQeAO9unTAm3MX4U5EZMGxBUu+x3eL52Nov554e8Hn+GfjDqXX7Ny+Fdb+8jUMDB7+ePj7v61yNyZ1u1AM6dcD33/2AUyMjZTaU9PSMfXtD7H74DGldg93V7z75suyoGG/nl1UQqCfVv6Lz7/7FSmpaUrtJibG+Gj265j41PBSj8/8xd/i9zXrkZ2do9RubmaKj999E8+MHPrIsUxLz8Brcz6SS4/UvY/iVOT7OHnugrxv26Kp2uOK73f3Tu3w1rxPcO9+lMo05E/nzoCenl6J77d1c2/M+XgJwn6PgJVlXfTr8TDoOuV7EdNmL4BV3bqY8uxYpZ0zXn/3Y9y4FapyXk8O6oOvPn5XbXBV1P6jJ/Hm3E8QHROn1K6jo4Mh/Xrit68XqjyndYumMgQS4SRDICKi6o3XLCXjNUs+XrMQVT6GQES12KuzP4ShgQEmjxsBq7p1cPS0L3wvBuDtDz/HiTPnsXbzLgzu2x1ejd0RERWN9Vv34ORZP/yzcbtSSOHrH4DMrCwZ+LjUd4KJsTHC7t7DnoPHsWPfEXz85Q/4ZO4Mpa89+6MvZAAkggfxNTzcXHH3fhS27z2Etxd8ofZ8v/99tXwtYyNDGVK5N2wAfT09XA0Kxr4jJ+Tz7Gyt5YyYR9l35CR+XrW24Ot7NnJDHvJwK/QODp84I2e0FA6BivPuwi9lACRmngzu0x1NGjVE+L372L73cJW8D+HchcvyvoWPV4n9ps1ZgLzcPIwf/QTsbKzgf+W6nN3z57+bYGNliTmvTynx+ZZ16+C3rxdh2IRXZfC1e91vcK3vhMioGLw8cz7y8oAfl3wol2EJgTduYcwLb8igq1Uzb3Rs0wJ1LMwRERmFHfuPYMuuA9DT1cXyLz4s8euKWWavv7NQhoxiNlr3zu1kUHfn3n35eT15Nj8EK6plU095f/bCpRJfn4iIqj9es/CahdcsRFUkj4hqrDEvvJFXr2nXvOCQMKX2PiMny/ZhE17NS05JLWjPzc3NGz5pujzm2Kx73pGTZ5Wet3nXfnlM9CnsvP+VvKTkFJWvf+9+VF7zHk/mubbunZeekVHQLs7Hwaeb/BrHTvsqPed2+N08n+5PyK8zYerbBe2R0bF5Ddv0yWvdZ2ReSNgdla912veifL0BY18s1dh8+8sq+TW+/mmlyrHk5JS8iwHXHjmWIaHhBe+j6FiJft5dhlT6+xAGPjVFfp2Aa0Fqjyu+350Gjcu7HxmtdGzNhu3yWMO2ffPi4hNKfL8Kqzdsk8f6jX5eft+HT5wm//3db38r9RPvW7Sv27JL5TUSEpPyeo2YpPI1/lq3RbYtXf5HQVvonXuyre+o5/Kys7NVXuvkOT+17zsyKkY+r1XvEWqPExFR9cFrluLxmiUfr1mIqgZnAhHVYnPeeElpKY5YWjOgVxecOucnl8+I5UOFDeqdXw8oLPyuUrtYJpSekSFn14jZH0lJycjOyV9iZWFuisjoGNy8FVpQe+bQiTOyNs2IwX1lbZjCRD2i6S+Mx4IvvldqF7VgxNIrLzsbrFm/TbaJmTti9ol8nJcnv5b/lUBZl6fwcjV1vB7UoxG1kMRME0NDg4JjZmamaPFgFklJDh7Pfx9iWVPRsXJzrS/r6SxcurxS34cQGx9fMFOnJLNfexH2djZKbU+PHCKX8531uyRrGpWmsLSYIeXrdxl//bcVPYdPlDNyxCww8X1TSElJxaHjp2Wx6hvBt7H4m5/l+8x/j/nvU/HZO3/pihyv4jja26JuHXPEJSTiflSMypbvndq2VPs8xXiIXdOIiKhm4zULr1l4zUJUNRgCEdViYglWUdaWlvJeXbFdEZSIZTjxiUlK7bsPHMPMDxaX+Mt2QlJywWMRGgjNmzZR27e5t2oAcys0rKDGjLiVRBSxflRx5f49u+ClZ8fit9XrsXP/EbRv3VwuNRL3YpcGYyPlGkbqhN+NkPctfdQHRmIJVGW/D0V4J4hgpSQtm6lfLtaymacMgRTvpzQWzZ2B42cu4FZoOOo7OeCbRXOVjofeuSdrLWVnp+Hrn/8s8bUSinyeitLX15d1qkRNoPYDxqJF0yYypBPvp2/3Tqhnl7/8rCjFeCjGh4iIai5es/CaReA1C1HlYwhEVIvp6T8sBFyUqFFTnMJZgwh0Xpk1H+kZmXJGkNgZSuwMZmSQP7Nm0879siix2CFKQfFLeU7Ow7bCcnNz1LTlf1FRzLprh9Ylvi9Rk6g0RPHnVyaPw6HjZ+B3+aqcoSQKUltZ1sHXC9+TQVFJqsv7EPV8bofdlbuNiR2ziqP42kUpzr8sYcmpcxflLl1CVHSs3EmsZaGaRIrvt72tDV56dkyJr9WuVbNHfj3xvTi7Zx2On/bFKV9/BAQGYf22PXj7wy/w/DMjsfDdt1SeI8ZDELuRERFRzcZrFl6zCLxmIap8DIGIqEQiQBEB0FPDB+PbT5Rngwhb9xxUaWvg7CDvLwZcU/uaFy+rtiuWC+kb6OP1lyZW2HdFzGJ5duyT8iaIYGPIMy/LncsuHdmqsqtZ0aVrgl8xM3rO+1+pkvch3oP4WqJ4t4+XR7H9zvsHqJ3hpZiRJIp6l4YI/qbOXgADfX3Mmv4CPv3mZ0yZ8T72rP1NBmiK1xJFt+PiE2QR8UctVSsNsXxsQO9u8qbYMn76nI/w61//oWOblhg2sLdS//vRMfK+fgnBGBERaQ9es/CahdcsRI+mW4o+RKTFxK5ggn6RWUViKc4vq9bKHaiK6tW1o6wtJHbQEnWECgsKvo0f/lij8pz+PbvK7dP3HT6BH1f8ozSzSEEsZzp66lypzltsG37rdrhKez07G7nkLTklFaFFah8V1btbRxl0iJ2uxJK4wsROX8tXVP77EEQAIly8HFhiv8+/+w1hRZZ8/fb3ejkLSgQsndu1euTXEvWTpsyYh9i4eHz87ht4fcqzmPHqZITduYfp73xUsATLwtwMfbp1RFZ2Nl6Z9QHi4vNn5RQmaiOJmWKlCZ3EeBQdKyNDQzg75Ac8V67fVHmeIpzrWEzNICIi0i68ZuE1C69ZiB6NM4GIqERd2reWy4hWr98mCwC38PFEWlqG3Db+WlCwLOJ7NyJSZQbNhNFPYNW6LZg4bTZ6dG6Hxm6uuHc/EgeOnoKVqIOTAOgWWp4ktjT/YNZ0vPPxl/jwi+/w+5r1aNeyGWytrRAdGydr0/hdvoZRQ/urFGlWZ+vug/hjzQY0926CRg0byLoyicnJOHrKV4YwtjZWcG3g9MgZOJOeGi5fZ/Lr78haQh7uDR+8j9NyWVxC4sNaSJXxPoSuHfOXlYkxL0lOTg56j5iEXl07wM7GGpeuXsc5v/zt5d96eZIMbh7l/cXfyJlDY58chElPjZBt/5v6vJyJJL53S5evwP+mPS/bP5rzhnz9wyfOok2/UejZub38PGRkZOZv7+4fgNS0dFkgvCTi+zH2xbfgWM9Ofr/EuAsB14Jw+ry/fNy2pY/K80TBaTk+RYqPExGRduI1C69ZeM1C9GgMgYioRJ6N3WRtnUVLl+PMhUvyJhgaGGDhe2/hgv8VWbulKHFMBADimAgJxE0QRX9fnfw0ps35SGnnMuG5p0fKoOLjL39AaPg9eStMhAOlDU7EheDhE2dkECJuRd/T0o/mlKo4tAg60tLT8c/GHTJAEjehmZcH3nnzZTw79W2V51Tk+xC8GrvLcRP1chKTklHHwlxtv+VffIg35y7Ctj2HCtrETKapzz2N16Y8+8iv89/W3Vj57yY0bdIIn3/w8H2JWV3ffzYfA8a+iC+X/yEDGRE0iaVvW//+EbM+/FzuOLfrwFGl1xMzokYO7ffIryvqHImg8Njp87h3/7jSMbFr2BsvTUK/Hp2V2rOzs7Hn0HE42NvKcI6IiIjXLLxm4TUL0aPpiH3iS9GPiKqhTTv2yWU6k8aNQN06FgXtazZuR3R0LKZMfEql5s3V6zflUqX2bVqo3Xr75z/XymU5rz73tFJ7RGS0/EVfbOEtZrv06NJezm4Rv4gHBgVj5ND+BTM4in49MZtDbCnv2aihnLUhvoaYJfPmyxPx7puvqDxHbJ1+7uJlXL8ZgvT0DLmEq6FLfblLV1l3ghKzScQStMjoWFnPplFDF7Rp0bTUY6lw7UYwTvv6IysrC00evI/Y+ET8s2GbPLei9Woq+n38uXYTZi9YgqUfvYPxo59QOtZ31HOyOHfAsW2wMDOTBbBDQu/IkK1bp7ZwVVMLqOj7Ff8rEDuppaWm4clBfeDawFnlOVcCb2D/kZOwtrLEhDHDlI7duBUqaxLFxiWgTh1zNHByQJvmTWFmZqr2NTq1ayV3aissMipGLl0LvRshC487OdqjS/s2aus27T18Qs4ym/Hqc5jz+pQyjSUREVU9XrM8Gq9ZeM1CVBUYAhFRpRBLn8SuUt5NGqmEKSMnvYa4hESs/+NbLuUpJVFfp8uQp2UAt2fd78WGQGInMW0wYerbMpQ8tfNf2Nlaa/p0iIioBuM1S8XiNYsyXrNQdcPlYERUKaJi4tB75GS5rbyXh7ss8ns77A6OnPKVtWvETBDWcik9MRtm9utTMGPep7JI9cA++TtoaSNRs0jMJhIzgBgAERHR4+I1S8XiNctDvGah6oghEBFVCrFUTNSWEf/zU2xRXnjXre8Wv8+RL6NxwwcjISEJObk5Wj12ScnJmDvjVbw4YYymT4WIiGoBXrNUPF6z5OM1C1VHXA5GRJXK/0qgrMkjloaJWjFtW/jIwo1UcUqqAUVERESlw2uWysdrFiLNYwhERERERERERKQFdDV9AkREREREREREVPkYAhERERERERERaQGGQEREREREREREWoAhEBERERERERGRFmAIRERERERERESkBRgCERERERERERFpAYZARERERERERERagCEQEREREREREZEWYAhERERERERERKQFGAIREREREREREWkBhkBERERERERERFqAIRARERERERERkRZgCEREREREREREpAUYAhERERERERERaQGGQEREREREREREWoAhEBERERERERGRFmAIRERERERERESkBRgCERERERERERFpAYZARERERERERERagCEQEREREREREZEWYAhERERERERERKQFGAIREREREREREaH2+z8ncZnD3WZsAwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "alt": "Convolution against attention cost"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "- **ResNet-50 cost:** 8.2 billion\n",
       "- **ViT-B/16 cost:** 17.6 billion\n",
       "- **ViT cost divided by ResNet cost:** 2.15\n",
       "- **Share of the ViT cost from attention:** 4.27%"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "At 224 pixels the transformer costs 2.15 times the convolutional network. Convolution cost grows with the pixel count, while the attention part of the transformer grows with its square, so the ratio keeps climbing."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Patches N = (224 / 16)^2 = 196. ViT cost = a N + b N^2 with a = 0.08597 and b = 0.0000195 billion, fitted to the book rows 17.6 (224 px) and 56 (384 px): 16.8 + 0.751 = 17.6. ResNet cost = 8.2 x (224 / 224)^2 = 8.2. Ratio = 17.6 / 8.2 = 2.15. The book lists 109 billion for ViT at 512 px (not used in the fit); this model gives 109."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, values, explanation = flops_picture(**{'resolution': 224})\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='Convolution against attention cost'))\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": "573c06e3",
   "metadata": {},
   "source": [
    "**What happens:** At Image side (pixels) = 512: No: about 2.5. ResNet cost grows 5.2 times with the pixel count, but the transformer grows 6.2 times because the quadratic attention part grows faster. The model predicts 109 billion, matching the held-out table row.\n",
    "\n",
    "**Takeaway:** Convolution cost grows with the number of pixels, while the attention part of a transformer grows with its square, so the cost ratio rises with resolution.\n",
    "\n",
    "**Use the idea:** Attention cost growing with the square of the number of tokens is why long inputs and high-resolution images are expensive for transformer language models.\n",
    "\n",
    "**Where it applies:** ResNet cost scales with pixel count. ViT cost is modelled as a part linear in the patch count plus a part quadratic in it, with 16 pixel patches. This counts arithmetic only; real speed also depends on hardware, which the book notes favours the large matrix products of transformers.\n",
    "\n",
    "**Check your understanding:** Attention equals the rest of the ViT cost when a N equals b N squared. At about what image side does that happen?\n",
    "\n",
    "<details><summary>Show the answer</summary>\n",
    "\n",
    "N = a / b = 0.0860 / 0.0000195, about 4400 patches, so the side is 16 x sqrt(4400), about 1060 pixels. Beyond that, attention is more than half of the cost.\n",
    "\n",
    "</details>\n",
    "\n",
    "*Source: Chapter 6, 6.10.2 Worked Example: ResNet-50 vs. ViT-B/16 Inference Compute. Book table: ResNet-50 8.2 billion operations at 224 px; ViT-B/16 17.6 at 224 px, 56 at 384 px and 109 at 512 px. The two constants a and b are fitted by the companion to the 224 and 384 rows only; the 512 row is held out as a check.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ec4e8a0",
   "metadata": {},
   "source": [
    "## Bring it to your own question\n",
    "\n",
    "Request sampling interval and units, raw data, boundary convention, frequency range, and whether filtering preceded sampling. Return raw and filtered views, appropriate frequency or wavelet calculations, and stated edge, lag and aliasing limitations. Use residual dynamics only for a specified numeric map.\n",
    "\n",
    "Use the `mathllms-ch06-multiscale` 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."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.15"
  },
  "mathllms": {
   "calculation_sha256": "c445c43990b8b1afbc786851b0ef501998d60e6bec4ac16c01d7b3a7aeaf2d86",
   "chapter": 6,
   "display_policy_sha256": "554dd741b3359bdaf592ce8be7688ac5e1feafe9b28482114cf312e014c264f4",
   "execution": "All cells executed with an in-process Python kernel; rich outputs captured explicitly.",
   "reader": "reader.html",
   "source": "review-sweep/epub-fixed/EPUB/text/ch008.xhtml",
   "version": "0.3.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
