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    "(adaptive-tutorial)=\n",
    "# Tutorial 4. Adaptive Measurements\n",
    "\n",
    "```{seealso}\n",
    "The complete source code of this tutorial can be found in\n",
    "\n",
    "{nb-download}`Tutorial 4. Adaptive Measurements.ipynb`\n",
    "```\n",
    "\n",
    "This tutorial requires familiarity with the **core concepts** of Quantify.\n",
    "We **highly recommended** to read the {ref}`user guide <user-guide>` and follow {ref}`Tutorial 1. Controlling a basic experiment using MeasurementControl` and {ref}`Tutorial 2. Advanced capabilities of the MeasurementControl` first.\n",
    "\n",
    "In this tutorial, we explore the adaptive functionality of the {class}`.MeasurementControl`.\n",
    "With this mode, instead of predefining a grid of values to sweep through, we provide an optimization function and an initial state to the `meas_ctrl`.\n",
    "The `meas_ctrl` will then use this function to build the sweep. We import our usual modules and set up a `meas_ctrl` with visualization:"
   ]
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   "execution_count": 1,
   "id": "4874e435",
   "metadata": {
    "mystnb": {
     "code_prompt_show": "Imports and auxiliary utilities"
    },
    "tags": [
     "hide-cell"
    ]
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   "outputs": [],
   "source": [
    "import time\n",
    "\n",
    "import adaptive\n",
    "import numpy as np\n",
    "from qcodes import Instrument, ManualParameter\n",
    "from scipy import optimize\n",
    "\n",
    "import quantify_core.analysis.optimization_analysis as oa\n",
    "import quantify_core.visualization.pyqt_plotmon as pqm\n",
    "from quantify_core.analysis.interpolation_analysis import InterpolationAnalysis2D\n",
    "from quantify_core.data.handling import set_datadir, default_datadir\n",
    "from quantify_core.measurement.control import MeasurementControl\n",
    "from quantify_core.visualization.instrument_monitor import InstrumentMonitor"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07057c0a",
   "metadata": {},
   "source": [
    "Before instantiating any instruments or starting a measurement we change the\n",
    "directory in which the experiments are saved using the\n",
    "{meth}`~quantify_core.data.handling.set_datadir`\n",
    "\\[{meth}`~quantify_core.data.handling.get_datadir`\\] functions.\n",
    "\n",
    "----------------------------------------------------------------------------------------\n",
    "\n",
    "⚠️ **Warning!**\n",
    "\n",
    "We recommend always setting the directory at the start of the python kernel and stick\n",
    "to a single common data directory for all notebooks/experiments within your\n",
    "measurement setup/PC.\n",
    "\n",
    "The cell below sets a default data directory (`~/quantify-data` on Linux/macOS or\n",
    "`$env:USERPROFILE\\\\quantify-data` on Windows) for tutorial purposes. Change it to your\n",
    "desired data directory. The utilities to find/search/extract data only work if\n",
    "all the experiment containers are located within the same directory.\n",
    "\n",
    "----------------------------------------------------------------------------------------"
   ]
  },
  {
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   "execution_count": 2,
   "id": "d6778cc3",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data will be saved in:\n",
      "/root/quantify-data\n"
     ]
    }
   ],
   "source": [
    "set_datadir(default_datadir())"
   ]
  },
  {
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   "execution_count": 3,
   "id": "c93ce3d0",
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   "source": [
    "meas_ctrl = MeasurementControl(\"meas_ctrl\")\n",
    "insmon = InstrumentMonitor(\"InstrumentMonitor\")\n",
    "plotmon = pqm.PlotMonitor_pyqt(\"plotmon_meas_ctrl\")\n",
    "meas_ctrl.instr_plotmon(plotmon.name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57a00112",
   "metadata": {},
   "source": [
    "## Finding a minimum\n",
    "\n",
    "We will create a mock Instrument our `meas_ctrl` will interact with. In this case, it is a simple parabola centered at the origin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "882fd32e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qcodes.parameters.parameter.Parameter: amp at 136836784893664>"
      ]
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     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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    "para = Instrument(\"parabola\")\n",
    "\n",
    "para.add_parameter(\"x\", unit=\"m\", label=\"X\", parameter_class=ManualParameter)\n",
    "para.add_parameter(\"y\", unit=\"m\", label=\"Y\", parameter_class=ManualParameter)\n",
    "\n",
    "para.add_parameter(\n",
    "    \"noise\", unit=\"V\", label=\"white noise amplitude\", parameter_class=ManualParameter\n",
    ")\n",
    "para.add_parameter(\n",
    "    \"acq_delay\", initial_value=0.1, unit=\"s\", parameter_class=ManualParameter\n",
    ")\n",
    "\n",
    "\n",
    "def _amp_model():\n",
    "    time.sleep(\n",
    "        para.acq_delay()\n",
    "    )  # for display purposes, just so we can watch the live plot update\n",
    "    return para.x() ** 2 + para.y() ** 2 + para.noise() * np.random.rand(1)\n",
    "\n",
    "\n",
    "para.add_parameter(\"amp\", unit=\"V\", label=\"Amplitude\", get_cmd=_amp_model)"
   ]
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   "id": "1999bc2a",
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    "Next, we will use the `optimize` package from `scipy` to provide our adaptive function.\n",
    "You can of course implement your own functions for this purpose, but for brevity we will use something standard and easily available.\n",
    "\n",
    "Then, we set our {ref}`Settables and Gettables<Settables and Gettables>` as usual, and define a new dictionary `af_pars`.\n",
    "The only required key in this object is `adaptive_function`, the value to be used by the adaptive function.\n",
    "The remaining fields in this dictionary are the arguments to the adaptive function itself. We also add some noise into the parabola to stress our adaptive function.\n",
    "\n",
    "**As such, it is highly recommended to thoroughly read the documentation around the adaptive function you are using.**\n",
    "\n",
    "We will use the `optimize.minimize` function (note this is passed by reference as opposed to calling the `minimize` function), which requires an initial state named `\"x0\"` and an algorithm to use named `\"method\"`.\n",
    "In this case, we are starting at `[-50, -50]` and hope to minimize these values relative to our parabola function.\n",
    "Of course, this parabola has its global minimum at the origin, thus these values will tend towards 0 as our algorithm progresses."
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     "text": [
      "Running adaptively...\n",
      "."
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      "/usr/local/lib/python3.9/site-packages/qcodes_loop/plots/pyqtgraph.py:420: UserWarning: zero setpoint range passed to pyqtgraph. ignoring, using default scaling.\n",
      "  warnings.warn('zero setpoint range passed to pyqtgraph. '\n"
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    "meas_ctrl.settables([para.x, para.y])\n",
    "af_pars = {\n",
    "    \"adaptive_function\": optimize.minimize,  # used by meas_ctrl\n",
    "    \"x0\": [-50, -50],  # used by `optimize.minimize` (in this case)\n",
    "    \"method\": \"Nelder-Mead\",  # used by `optimize.minimize` (in this case)\n",
    "    \"options\": {\"maxfev\": 100},  # limit the maximum evaluations of the gettable(s)\n",
    "}\n",
    "para.noise(0.5)\n",
    "meas_ctrl.gettables(para.amp)\n",
    "dset = meas_ctrl.run_adaptive(\"nelder_mead_optimization\", af_pars)"
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   "cell_type": "code",
   "execution_count": 6,
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       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2kB\n",
       "Dimensions:  (dim_0: 100)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 800B -50.0 -52.5 -50.0 ... 0.1294 0.1292 0.1292\n",
       "    x1       (dim_0) float64 800B -50.0 -50.0 -52.5 ... -0.06343 -0.06346\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 800B 5e+03 5.257e+03 5.256e+03 ... 0.06713 0.4371\n",
       "Attributes:\n",
       "    tuid:                             20250723-134643-866-98b5c9\n",
       "    name:                             nelder_mead_optimization\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  True</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6b4c0284-fe07-4d4d-8cad-df2dbbc28050' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6b4c0284-fe07-4d4d-8cad-df2dbbc28050' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-057037fb-c341-4043-9e31-b9e2c5c701e6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-057037fb-c341-4043-9e31-b9e2c5c701e6' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>x0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-50.0 -52.5 -50.0 ... 0.1292 0.1292</div><input id='attrs-7d5ed3ed-1620-4c7b-9891-32c73d0f1146' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d5ed3ed-1620-4c7b-9891-32c73d0f1146' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-344ee503-d64d-444e-94ad-285da1473673' class='xr-var-data-in' type='checkbox'><label for='data-344ee503-d64d-444e-94ad-285da1473673' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>parabola.x</dd><dt><span>long_name :</span></dt><dd>parabola X</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([-5.00000000e+01, -5.25000000e+01, -5.00000000e+01, -4.75000000e+01,\n",
       "       -4.75000000e+01, -4.62500000e+01, -4.87500000e+01, -4.50000000e+01,\n",
       "       -4.25000000e+01, -4.00000000e+01, -3.62500000e+01, -3.12500000e+01,\n",
       "       -3.37500000e+01, -2.25000000e+01, -1.25000000e+01, -1.00000000e+01,\n",
       "        8.75000000e+00,  2.87500000e+01,  6.25000000e+00,  1.43750000e+01,\n",
       "        2.75000000e+01, -2.50000000e+00, -5.00000000e+00, -1.37500000e+01,\n",
       "        1.25000000e+00,  3.75000000e+00,  0.00000000e+00,  9.37500000e-01,\n",
       "       -5.31250000e+00,  1.48437500e+00,  4.92187500e+00, -6.44531250e-01,\n",
       "       -9.76562500e-02,  6.78710938e-01, -1.45019531e+00,  7.50732422e-01,\n",
       "       -5.72509766e-01,  3.65905762e-01,  1.76116943e+00, -4.31060791e-02,\n",
       "       -4.27932739e-01, -1.33266449e-01,  4.56066132e-01,  8.65077972e-01,\n",
       "        1.83939934e-01,  4.10985947e-01,  1.61399841e-01,  1.16319656e-01,\n",
       "       -8.81862640e-02,  2.52382755e-01,  1.38859749e-01,  2.63652802e-01,\n",
       "        3.66067886e-02,  5.91468811e-02,  1.18931532e-01,  7.90750980e-02,\n",
       "        1.08967423e-01,  2.33760476e-01,  8.58952105e-02,  1.38327628e-01,\n",
       "        1.16307475e-01,  1.23647526e-01,  1.35183632e-01,  1.49863735e-01,\n",
       "        1.46193709e-01,  1.42523684e-01,  1.29415579e-01,  1.10539421e-01,\n",
       "        1.18535487e-01,  1.26531553e-01,  1.35969631e-01,  1.19977500e-01,\n",
       "        1.23975533e-01,  1.27973566e-01,  1.32692605e-01,  1.24696540e-01,\n",
       "        1.26138553e-01,  1.30857592e-01,  1.34134619e-01,  1.32135602e-01,\n",
       "        1.30136586e-01,  1.27777066e-01,  1.31775099e-01,  1.31054092e-01,\n",
       "        1.30365962e-01,  1.30595339e-01,  1.29776082e-01,  1.30234836e-01,\n",
       "        1.30120147e-01,  1.30005459e-01,  1.29595831e-01,  1.29005951e-01,\n",
       "        1.28825699e-01,  1.29018232e-01,  1.29403298e-01,  1.29812926e-01,\n",
       "        1.29207695e-01,  1.29409439e-01,  1.29210765e-01,  1.29216906e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x1</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-50.0 -50.0 ... -0.06343 -0.06346</div><input id='attrs-d6974aee-b8d7-43a0-bd10-086de345cca6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6974aee-b8d7-43a0-bd10-086de345cca6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31756d17-9378-495e-a4be-8fd883d360b2' class='xr-var-data-in' type='checkbox'><label for='data-31756d17-9378-495e-a4be-8fd883d360b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>parabola.y</dd><dt><span>long_name :</span></dt><dd>parabola Y</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([-5.00000000e+01, -5.00000000e+01, -5.25000000e+01, -5.25000000e+01,\n",
       "       -5.00000000e+01, -4.87500000e+01, -4.62500000e+01, -4.50000000e+01,\n",
       "       -4.25000000e+01, -4.50000000e+01, -3.87500000e+01, -3.37500000e+01,\n",
       "       -3.12500000e+01, -2.25000000e+01, -1.25000000e+01, -1.50000000e+01,\n",
       "        6.25000000e+00,  2.62500000e+01,  8.75000000e+00,  2.06250000e+01,\n",
       "        2.75000000e+01, -2.50000000e+00,  0.00000000e+00, -1.12500000e+01,\n",
       "        3.75000000e+00,  1.25000000e+00, -5.00000000e+00,  1.56250000e+00,\n",
       "       -2.18750000e+00,  3.90625000e-01,  4.45312500e+00, -7.61718750e-01,\n",
       "       -1.93359375e+00,  6.88476562e-01, -4.63867188e-01,  1.77001953e-01,\n",
       "       -1.27319336e+00,  1.98059082e-01,  1.13677979e+00, -2.87094116e-01,\n",
       "       -2.66036987e-01, -1.55277252e-01,  6.62422180e-02,  5.51395416e-01,\n",
       "       -7.74717331e-02,  1.32150650e-01, -4.45175171e-02,  2.13909149e-02,\n",
       "       -2.21185684e-01,  9.32478905e-02, -1.15633011e-02,  7.67707825e-02,\n",
       "       -1.32851601e-01, -1.65805817e-01, -5.01239300e-02, -1.27245188e-01,\n",
       "       -6.94042444e-02,  1.89298391e-02, -9.49062407e-02, -7.00195134e-02,\n",
       "       -6.95580617e-02, -6.97118789e-02, -5.69608808e-02, -5.72685152e-02,\n",
       "       -5.71916066e-02, -5.71146980e-02, -6.33363798e-02, -7.59335607e-02,\n",
       "       -7.12288450e-02, -6.65241294e-02, -6.02255389e-02, -6.96349703e-02,\n",
       "       -6.72826124e-02, -6.49302546e-02, -6.17809594e-02, -6.64856751e-02,\n",
       "       -6.48918003e-02, -6.17425051e-02, -6.01870846e-02, -6.13632635e-02,\n",
       "       -6.25394424e-02, -6.41140901e-02, -6.17617322e-02, -6.25586696e-02,\n",
       "       -6.25442492e-02, -6.25490560e-02, -6.29379111e-02, -6.29475247e-02,\n",
       "       -6.29451213e-02, -6.29427179e-02, -6.31371455e-02, -6.35308074e-02,\n",
       "       -6.37300417e-02, -6.35818177e-02, -6.32853695e-02, -6.30909420e-02,\n",
       "       -6.34208410e-02, -6.33108747e-02, -6.34335936e-02, -6.34590987e-02])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8c2252b-bbf1-4393-afe0-38c5c03f119c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d8c2252b-bbf1-4393-afe0-38c5c03f119c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5e+03 5.257e+03 ... 0.06713 0.4371</div><input id='attrs-63bb0a3c-d0d0-455e-849e-8c684aad67dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63bb0a3c-d0d0-455e-849e-8c684aad67dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adac5e6d-e810-4059-98b9-07219fe8e2ec' class='xr-var-data-in' type='checkbox'><label for='data-adac5e6d-e810-4059-98b9-07219fe8e2ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>amp</dd><dt><span>long_name :</span></dt><dd>Amplitude</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([5.00032638e+03, 5.25654003e+03, 5.25635228e+03, 5.01288440e+03,\n",
       "       4.75626157e+03, 4.51566642e+03, 4.51581116e+03, 4.05034450e+03,\n",
       "       3.61288931e+03, 3.62531074e+03, 2.81592835e+03, 2.11576817e+03,\n",
       "       2.11581433e+03, 1.01252003e+03, 3.12864186e+02, 3.25207970e+02,\n",
       "       1.16105114e+02, 1.51597219e+03, 1.15783872e+02, 6.32079488e+02,\n",
       "       1.51261504e+03, 1.29197523e+01, 2.54397102e+01, 3.15906191e+02,\n",
       "       1.59501232e+01, 1.58969687e+01, 2.53257430e+01, 3.81371629e+00,\n",
       "       3.34060105e+01, 2.65872620e+00, 4.42249796e+01, 1.24743080e+00,\n",
       "       4.10106241e+00, 1.32189749e+00, 2.73251975e+00, 8.42143207e-01,\n",
       "       2.08585322e+00, 1.99855460e-01, 4.53598603e+00, 2.32680096e-01,\n",
       "       5.87879036e-01, 5.23589011e-01, 2.17582201e-01, 1.30358318e+00,\n",
       "       4.43946241e-01, 2.25637946e-01, 1.19347625e-01, 1.41109105e-01,\n",
       "       4.15589363e-01, 2.23254284e-01, 3.87491105e-01, 4.35143142e-01,\n",
       "       2.89588843e-01, 4.67457770e-01, 3.08624023e-01, 3.19190068e-01,\n",
       "       2.62232378e-01, 4.15219149e-01, 2.58684067e-01, 3.20667623e-01,\n",
       "       5.05270942e-01, 1.04854744e-01, 4.36905575e-01, 2.84280995e-01,\n",
       "       4.97426136e-01, 4.93446863e-01, 5.27262013e-02, 2.92769182e-01,\n",
       "       5.18338250e-01, 2.41448967e-01, 2.93892826e-01, 2.52144943e-01,\n",
       "       3.46246009e-01, 4.43210480e-01, 5.03537072e-01, 3.87099200e-01,\n",
       "       2.98975321e-01, 1.04490592e-01, 1.51362820e-01, 4.37060253e-01,\n",
       "       2.98488430e-01, 3.95561884e-01, 2.58012834e-01, 5.18875298e-01,\n",
       "       3.87056566e-01, 1.50241345e-01, 2.24710113e-01, 2.05027189e-01,\n",
       "       4.92516673e-01, 4.81209283e-01, 4.59789927e-01, 2.50759357e-01,\n",
       "       4.15515124e-01, 2.66358768e-01, 1.69309169e-01, 4.57582779e-01,\n",
       "       2.59126955e-01, 2.04004411e-01, 6.71287195e-02, 4.37109654e-01])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2d3022aa-7513-4d0e-944a-001214c8def3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2d3022aa-7513-4d0e-944a-001214c8def3' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e536296d-97c4-481e-a8ac-9209bb344fa6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e536296d-97c4-481e-a8ac-9209bb344fa6' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tuid :</span></dt><dd>20250723-134643-866-98b5c9</dd><dt><span>name :</span></dt><dd>nelder_mead_optimization</dd><dt><span>grid_2d :</span></dt><dd>False</dd><dt><span>grid_2d_uniformly_spaced :</span></dt><dd>False</dd><dt><span>1d_2_settables_uniformly_spaced :</span></dt><dd>True</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2kB\n",
       "Dimensions:  (dim_0: 100)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 800B -50.0 -52.5 -50.0 ... 0.1294 0.1292 0.1292\n",
       "    x1       (dim_0) float64 800B -50.0 -50.0 -52.5 ... -0.06343 -0.06346\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 800B 5e+03 5.257e+03 5.256e+03 ... 0.06713 0.4371\n",
       "Attributes:\n",
       "    tuid:                             20250723-134643-866-98b5c9\n",
       "    name:                             nelder_mead_optimization\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  True"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8733dbaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<quantify_core.visualization.pyqt_plotmon.QtPlotObjForJupyter at 0x7c73cbf47cd0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plotmon.main_QtPlot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f082765c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<quantify_core.visualization.pyqt_plotmon.QtPlotObjForJupyter at 0x7c73cbf47d30>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plotmon.secondary_QtPlot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dacd3b6c",
   "metadata": {},
   "source": [
    "We can see from the graphs that the values of the settables in the dataset snake towards 0 as expected. Success!\n",
    "\n",
    "### Analysis\n",
    "\n",
    "There are several analysis classes available in `quantify-core` that can be used to visualize and extract relevant information from the results of these adaptive measurements.\n",
    "\n",
    "The {class}`~quantify_core.analysis.optimization_analysis.OptimizationAnalysis` class searches the dataset for the optimal datapoint and provides a number of useful plots to visualize the convergence of the measurement result around the minimum."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "35a9c0d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XAXQwShuFvFvsn9Qryj7yRNQSQCvIn01LvX5UiOkuC2EdpF+y3jJxPDvKfw757QBay+dr2McLuVu8d0Jq3f5QDmqNj2Pu+7e4rYP0HvnYeAMR2dDjaSVNfU/aAnjbaLeTkFr5x8jbDUbAvM+W0h5Iv55OkLsEGoyE1CVlm1F+G8hTGCvqN1quzyk5uTCfc4sjoi6Q+tN/LYTYmEe2p+U7i7Gn3tPYYl+NiDZD6obSBtJsFv8TQhhafXZB+uLfQkQLIfUJfQvST8vmtlQWtoyrAJaQNKdvOKSpzXyQ80bgO0hB8Q4i+hnSQNbhkFqZ+uX1k7sQIp6IDgCYKgcD9yB1czFuFTOJiPpA6hrzrhAiuzuBEOIMEf0CYDwRLRdCnMizECl/BBHthdRVwQlSC75SJwDziGg9pOthA6nLQRakmwKzCSFSiOgigIFEdBXStTovhDgP6cbuEID/iOg3SK12PpDeC5UhtboWZCuAYXK/4Ivyvl3weGo5g7Ny/d+Xb+zSAITIAaqxRZAChuVE1AzSzdqrANoBeEcIkWDm6VvSYgC/EtGfkGbRaQxpZpPIYjpeKKRpGxdAupl7B9I1/V6RxxKvX2GnuzTHSkhdzX6Vf5n7B1LQFCCnd4cUoJryPaT3ejARzcHj6S5vAWhkyCR/lsfKxzpNREGQAswqkAZ9/gNpSkmrEkLsl7/3PiCiJpC+DzMgtbj3h9St7w9Is6fEAFghf6cJSNeBjMrLIGle/4WQpj9dC+n763UUso+9EOIREX0LabrLYPlvQR1INxMnoBgkLbsP6fPrD+l7aSCkGbxGicdTNF6HNO5oDEnrBSQBOCaPGyoJayC9D64R0WtG23YLaarYp+U7izFWHFPtlMYHHk93WRfSYM54SAHfXAA6o7y9IP28mwKp285USH9EBOSp5+R8YZBank0dr1BlQAq2z0HqY3oJJqZ9hDR7wHpIfwxTIM2Y8KJRHn/knu7SF9KgqhhIf4DWQbrBEMhnyj9INyR3IE3vpjax3QnSjcIpU9tN5H9TPma8iWteDdJsG6HyuUVB+tm9sxnlLodiSjk5rQ2kQCrN+Dzl67gC0pSF6ZAGGG6BdINkyDNC3q+5ieO5Qpp54hGkad2CIQUHYVBMY6g45+uQ+j9nTyMHE1PWQRpUaCg3DdK0jiOM8hhe3ykm6pXv65nfeeHxFJDPK9JUkG4oH0EKVoIB1DA+z3zK/ExO9zTxeiWaOidIN363IX0ODkAxDa0FXz/DueZ7rRSv03kz33MaSJ/z83L9oyG9Bz8B4Gz0mTd+nzSUj5Uin89HkG7wc3xfKOofDOmznALpM7MMQLO8rnFhHk/6eirS35LPPxnSZ/5fSH3nKyrytIXU5zsZ0nfJDDyeVvd5o/LGQgrkUyEF4c+igKkf8znHcZC+Z9MhjVeYD8DV1GsPafabw/K1DgMwzkR5vSGtW5IBxfev8fsEeXx+Fe/JV43Sc70WxueMx1MQm3oYvm9cUUa/s/jBD34U7kFCWL17YImgx4uSeAkhiqvFkTHGWDlA0iqrnkKIXKsfM8ZYafU09rFnjDHGGGOs3Hka+9gzxthTh4jsUPCc5dEi5yJQZYY8eDi/gd3pQojokqoPY4xZAwf2jDH2dBgIqS9+fjpC6ktdFp1A/isn74fUl50xxsqtp6aPPWOMPc3kKULrF5DtlHi8ImiZQkTtANjlkyVGCHEqn+2MMVbmcWDPGGOMMcZYOcCDZxljjDHGGCsHOLBnpR4RjSAiIS8SU1DeMCJaXvy1YowVheLz3NzadWGMsfKGA3tWrIioLRF9plhGvtQiogAi+p6IzhJRAhE9IKJteQUgRORLROuIKJaI4oloExFVN8rjR0SfEtFxIoohokgi2icvA29cniHgMfWoYCJ/byI6TUSpRHSbiD6Xl3RX5tmXT5kZinweRPQeER0gokfyOR0looEmjlufiNYT0Q0iSpbP6QAR9SrEte5GREuI6DwRZRFRWB75KhHRKiK6Ir8msfK1HE5EZGofxb675fOcl8d2HyJaSET35GsYRkRLilImEdkpzieOiBKJ6BwRTSRpxWezEFEXItorX1PDuQ570voT0UAiOkJESXK5h4mok5l1qklEf8jv32QiOkTS6rqm8g6Q3zexRBRFRPuJ6EVzz99EecvzeO9eLmJ5PkS0jIgiiChF/vz0L2r9GGOstOFZcVhxawtpYbDlkFbKLIqVAIIgrWxYnN4EMBLAn5BWonSBtGT6USLqIYTYY8hIRI4A9sp5voG04uQkAPuJqIkQwrBU+8sA3gewEdJqqTYA/g/AbiJ6QwhhapaSTyCtVqwUq3xCRC/IZe4DEAhp5dKPIK0EOVaR9WsAi43KcgDwK4BdirQ2ct7tAL6CtOpkPwBBRFRPCPGpIm9VSKsOrwBwH4C9nHczEY0WQiwycU7GhkCapeW0XEZePAFUBvAHpBVpNQC6Qno/1QHwoamdiKivfE4mEZEfgH/kp79CWvW0EoCW+eyTX5l2kAamboe0mqce0nv/JwCtIJ1vvoioN6TX9Ager/I6AMDvROQphPipKPUnaXG+TyBdw+WQrmEDSCtSF1QnP7k+WQB+gLQC8esAdhFRZyHEAUXeQAA/A9gGYBoAHaSVU7cSUT8hxF8FHS8PaZA+m0pxhS2EiJwBHALgA2AOpBVnBwBYR0RDhRD/K2L9GGOs9LD20rf8KN8PAFMgBSj+JXS8MBgtkV6IfZsBcDRK8wAQAeCQUfpU+bxaKNICIAXE3yjS6kNavVK5rxbScvZ3jNJHwGj5+HzqegHAWQA2irSvIAWUAQXs+5p8nCGKtGoAqhrlIwB/A0gF4FBAmWq5PpfNvNaVAGjk/28FEFbI12oLgEQAahPbdJBujD6Wz3OeiTzbAdwA4GHm8QosM4/95sr5K5iRdxekAF2rSLMBEArgXFHqD6C1/J6YVMTPxC+QblrrKNLsId1knTLKexXAcciTMshpzgASAGwq4vt8OYDEotTdRFnvycftpEhTyXV+AMDWEsfhBz/4wQ9rPrgrDis2ckvhD/LTm4qf0f3lhyCiESb2E/K+hue5+tiT5CMiuit3D9hLRCan8iOiGkRUo6D6CiFOCSESjdKiABwEUNco+6sATgghTijyXoYUCA9QpF0QQkQalZkGKTCrTEROedTZiYhMLrZDRPUA1AOwSAiRqdg0H1Iw/mq+Jyq1HicB2KSo000hxC2jegpILchaADm6GBkTQmQBuAPAtYBjG/LfF0JkFJwzT2GQAkxbE9umQgrYZprakYgCALwA4AchRBQR6czoLpNvmQXUEzDvujhDmpIx+5cp+fWNBJBiSCtk/d+B1DI9R/7MOBay/s8COCOEuKKoUzKAzQCeIaJaRvWPkN83hrzxkG7AUpCbvdyVKIqkrmy/E5GbqUoQkVpucc8TEbkS0U9yl6Q0+bvhdyLyVJzLIyFEiKJ+egDrAFQA8Fx+5TPGWFnAgT0rTn8BWCP/fxKAYfLjkQXK/gLAlwDOQWqJuwGpxdPBRN6/5UdRVYAUXAEAiEgFoBGAkybyHgdQI6+A3ajMZPlhbC+AeADJRLTZKHgCgKbyvzmOL4S4D+CuYnsuJK3O2RXARiFEUgF1NNQTUJy/oiwHIvKUb5wmQQo2n+Q654mkPuye8g3hcEjdQY4IIVKM8lWB1A3kfeNtCobxDeFE9DekoDOFiHaQiQHaZpZpyGsr19OPiPpA+sXqFqRW94LsA1CfiL6U+7XXIKKPATQH8H0R698Z0sJNEyB97gxjR8abUR9Auqkzdc6G920zo/r3IKJA+XUKIKJfIHVXm2OijHmQbpg/A/A7gKEANhLlGjthD+nzEEdE0UT0i/ENivz8IKRuabsATITURSkAUleuwp4LY4yVSdzHnhUbIcS/RHQawGBIgWSYYZscYBaJvO9USH15exlaCInoa+TR5/oJjvUspH7VXymS3SEFCQ9M7GJIqwTgiontIKKaAPoCWC+3dBskQ+p6YAjsmwGYDOAwET0jhLgj56todCzj41fK55QGQvrcr84nj6Ge7pD6Nh8UQpg61o+QxiAAUnePvwCYGzAW1kQA3yqe/w0puDdVpzNCiKB8yjLcKC2CFPQOBFAF0liQPUTUSG6VLkyZBn3x+GYWkG6+3jD6ZSUvX0LqEjUd0ngJQHpP9BNCbFLkM6v+cuu3J4B2ADoB+BxSF5rXAcwlogwhxMIC6nQFwLNE5CSESFCkt5f/VfbTnyAf72f5AUg3hJ2FEEdMlJ0ub8sAACK6BekGphekXwQA6f38PaSxGCoAPQC8DaAxET2vuK7vQRo30FcIsUFxjK8UNwpXAHQhoqpGv049a+JcGGOsTOLAnpVFXSB1wZir/NkfwGyYCOyFEP5FOQgReQP4H6S+1coWU8PqlqYG86Ya5TEu0x7Aekgth9OM6rkOUrcAg41EtBPAAUjB3hgzj59fl4UhkFpud+eTx/CrxGpIXUgC88g2G9KAzEqQuh+pYbprjCWsgRQkewF4CdIAyBzXmKSZWvpBGqyaH0Nr70MAL8rdMUBEd+XjDIE84LgQZRrshfSLiCuk1vLGMP0rkilpkPqp/wHpJkkNYBSAVUTUVQhxtJD1N+TzADBICLFWzvcHgP8g3TwUFNgvgBRoryWi6ZC6cL0N6VcEIOdrkAwpeL4LadyEE6Rf6v4iomeFEMa/Wiwy6o61ANJA9J6QA3shxAdG+wQR0VVIA71fhTSoHpBeo3NGQT3kMgzfEYshfYbWyb8whUN63/YxcS6MMVYmcVccVhZVlf+9pkwUQjwCEGOJAxCRAx4HJy8b9b03/JyvNbGrziiPskw1pECkHoBX5a4z+RJCHAJwDI+7X5hzfJPdRUiairMNgLVmtCDPhdQ6+qYQ4lwedbsshNgjhPhdCPESpEByi6GFlIhciKiC4uFewDHzJIS4JR9rjRBiKKSuV3uIyE4+lg2kVuKVynEPeTBcn3WGoFi2HtLg57ZFKNNQz3C5nn8IIcZCeg/tJnm6UrlLkfKaKKcxnQcpiB4khAgSQqyG9Lo/QM6uLGbVX5EvA9LNgqGOegBrIY3xqCLXq4LRw07OuwPSjV0HSK3mVwC8COlGE5D6zyuPX0UIMUI+/2UAnod0s/e1ictl/PlNlM/V30RepZ8g/UKk/EzUAHA+v52EEP9CuumpAWlGoVBIvzK8Y+JcGGOsTOLAnlmLMJWY14DRkkREtpBaTBtBCuqNA4ZoSK2rFY33VaSZCtp/g9TaPEI5gM8MdyB1/zEwdIvJ6/h53TAYplzMtxsOEX0KqVV2mhBiZSHq+QeAFgBqy8/nyHU1PIo63WFex/KDFHAC0hSidQAspMeDs/3lbU7yc3v5ueH6hCsLlLtFRQEwDOAsTJn51dMR0rSngNRt5oHRw/CeGwlgmzJYl1u0dwBoLucpTP2jIf2CE2XU5QuQZnqCIq9xnbLXLxBCzIP0C0lbSC31AXg83eRVuf7VId0IGrrQGPaNhjTFZDsT16ZI5HEOUcj5mTB3X8MvTC0h3eRWhXSTCMjnwhhjZRl3xWHFzWQAj8ct665G6VVRMEP/2Fp4/EfZ0Pfe5Kwa5pK7oPwOqRvFACHEfuM8Qgg9Ef2Hx90RlFoBuGHUHxlE9AOkvs3vCCHWmNgvP9WRc8DxWfnf5pAG6xqOUQnSQMG85pEfAuC6oktHLkQ0DtJgxtlCiBmFrKehK4OL/O/3AFYptlvk15Q8jlUF0vzs/5jI+3/yow+kWX5Oyek5+lTLgbMnHl/rwpRpbj13QuqqY8wD0vexqRtbDaRGGMM2s+ovv0/PAmhBRLZCiHRFdsM4DMO5GtfpgvKJPNA6u588SQuspeDxtfGR/82r/qb+1tSC1HXJUKYjpBvT7SbyQpHPCTlfJwC4DqmPfYHk65D9Cww9Xixuj+k9GGOsDBGlYM5NfpTfB6Q+rQJAExPbHgH4yyhtppz/M0XaCCjmwofUzzodUjcH5ZzZX8v5lhuVWQNADTPr+4tcxqgC8r0Po7m4IbXuZgL4ziivYf7srwso08tEWk953zlG6ZcgBfhqRdqXkLoo1DVRTlO5nC/yOf5ASAsRrVJeVxP5vE2kaSAFnMkwWgvAjGue5zz2pq6JnL5ZPtea8vMAAK+YeAhIg6xfAVBRzquF1Np9HYBOUeYoOX//IpTpaeqa4fE89p0KuAZqSDc+V6CYTx1Sa/8dAJcUaWbVX057R057S5Gmk/e9UJjXSbF/W/l9Plf5Osnvnb3I+ZmsDGke+x2KtBFynU5CXsvA6HPysqKeTiaO/72cr48i7XPjNMW2/N7LtSANVN9SlGvBD37wgx+l7cEt9qy4GVoXvyaiIEj9fbcIqQVwMYBpRLQY0h/5DnjcjSNPQohHRDQTwAeQVrXcDilwfQEmpmXE4ykY/fMrl4jegdQF5QikqSZfM8qyQTyeInI+gLcAbJPrkgFpBptwSLOoGMrsAykQuQbgkokydwshDF0qDhPRGUjXIg7AMwDegBTYfWO033uQgttd8nVtAGlGmsVCiEsmTm+o/K/JbjhE1BLSLxVRkK7XUKNZBw8LIQy/jiwkaU7xA5AWVKoglx8A4F1htBZAHsdrBKC3/LQmABciMswEc04IsUX+/3QiagcgGNKMLu6QBkq2gBRYhgLZawhcNnEcALgphNhoSBNCpBHRe5BWzj1ARCshtc5PhDRl4l+FLRPSol9jiGgjpF+RnAB0h9QSvkUU0PVKCJElv4++grTS8e+Qgv2RkILj1xR5zaq/bCGkmY1+IaLa8jUcBumXsV751Uk+16qQBnRvhjRYtz6km/V/oRioLn8ml8rH+puI/pKvwduQfrX4FrnZynnXQbopfhtStx1Dd54KAM4Q0Ro8fh26Q7rZDYZiHQZI62W8CmC9XI9TkN4rveX6npPP5yKksQC3Ic1ANBZSl6UxYIyx8sDadxb8KP8PSLNv3IXUoqdsebeDFNzHQmo1Wwup5S/fFns5TQXgE0j9jZMhtRTWh4mVZ+W0MDPquVw+Tl4Pf6P8lSEFCXGQWiW3QG5BVuT5rIAyn1fk/QrAGfl6pEPqcjQfgE8e9X1Fzp8KKfj/EooWUKNrdRdGK4Ua5RlRQD1HKPIOgjSrzkNINzTR8vPehXhP5He85Yp8XeXrek++JvGQgr8RyKclVrG/QB6rxMrncVa+fg8hta7naiE2p0xI3aLWya9ZKqSBmKcgzQpjU1CZinKGQBosHSO/r49Cmu6yyPUH4C2/t6PkvEcBdDezPm6Quho9gDSu5AaA7/I4jg2km8szkD4PCQBCAHTM47XvAOnGI1rOuwqAuyKfK4CVkG6Kk+S6n4d0Q2/qfe4uX4O7cl3vyOftocizBlJQnya/pxbAxC9Q/OAHP/hRVh8khABjjDHGGGOsbONZcRhjjDHGGCsHOLBnjDHGGGOsHODAnjHGGGOMsXKAA3vGGGOMMcbKAQ7sGWOMMcYYKwc4sGeMMcYYY6wc4MCeMcYYY4yxcoADe8YYY4wxxsoBDuwZY4wxxhgrBziwZ4wxxhhjrBywsXYFrIGICEAlAAnWrgtjjDHGCsUJwH0hhLB2RRgrbZ7KwB5SUH/X2pVgjDHGWJFUBnDP2pVgrLR5WgP7BAC4c+cOnJ2drV0XxhhjjJkhPj4efn5+AP/izphJT2tgDwBwdnbmwJ4xxhhjjJULPHiWMcYYY4yxcoADe8YYY4wxxsoBDuwZY4wxxhgrBziwZ4wxxhhjrBzgwJ4xxhhjjLFyoNQF9kQ0loj+JaJ4+XGEiF5QbNcR0S9EFEVEiUT0JxH5WLPOjDHGGGOMWVupC+whLRw1DUAzAM0BhADYRET15e0/AegFoD+A5yAtNvWXFerJGGOMMcZYqUFlYUVmIooG8B6APwA8AjBECPGHvC0AwCUAbYQQR80szxlAXFxcHM9jzxhjjJUR8fHxcHFxAQAXIUS8tevDWGlTGlvssxGRmogGAXAAcARSK74GwB5DHiHEZQC3AbTJpxwtETkbHgCcirfmjDHGGGOMlaxSufIsETWEFMjrACQC6COEuEhETQCkCyFijXYJB1AhnyI/APBpMVSVMcYYY2UcEdkCqA2gCqTYg6xbI8ZMygAQDeCSECLKVIZSGdgDuAKgCQAXAK8CWEFEzz1Bed8CmKV47gSpLz9jjDHGnmJE1LZq1ar9KleuXKlmzZoaV1dXqFSq0t9PmT1VhBCUlpYmwsLCcPv27RgnJ6cTiYmJq4QQKcp8pTKwF0KkAwiVn54iohYAJgJYC8CWiFyNWu19ADzMp7w0AGmG50R8I84YY4w97YioXdOmTd987bXXNH379r3l7++fau06MZaf5ORk1b59+zyWLFnywq5du7REtFgIkf2+LZWBvQkqAFoApyD9DNEZwJ8AQER1IP10dsRqtWNFlpGlx9yQUJwMi0Zzf3cEdqoJjbpUD/1gjDFWDhCRrmrVqv3+7//+T/POO++EFrwHY9Znb2+v79mz56OqVasmx8bGPhsSEnICwDHD9lIX2BPRtwB2QBoQ6wRgCIDnAXQXQsQR0RIAs+SZcuIBzAVwxNwZcVjpMjckFHP/vgYB4Mh1qbvY5K61rVspxhhjT4Pafn5+lfr163fT2hVhrLDq16+f1LJlSzp69GhjlObAHoA3gN8BVAQQB+BfSEH9bnn7JAB6SC32WgA7AbxthXoyCzgZFg1DR0YhP2eMMcZKQNU6derY+Pn5pRWclbHSp3HjxrE+Pj4NiEglhNADpTCwF0KMLGB7KoBx8oOVcc393XFYbqkn+TljjDFWAnSurq48SJaVWa6urhm2trYaSA3dKUApDOzZ0yWwU038dfou3Oxt0THAG4Gdalq7Sowxxp4OpFareTYNVmap1WpB0oww2e9jHqXIrEqjVsHdwRbvda+DyV1rmzVwNiNLj1m7r2LIb0cxa/dVZGTpS6CmjDHGniZXrlyx79Sp04uurq6TbGxsPnJycppSr16915YvX+5n7boxlhdusWdWl5iaieT0TLPz84Bbxhhjxe3FF18cmJmZqf7uu+82NGnSJObmzZuO27Ztq/bw4UN7a9fNEhITE9WOjo5Z1q4HsyxusWdWl5CWicQ0879beMAtY4yx4nT79m3d9evXq0yfPn33mDFjwlq3bh03ePDge6tWrTo0bdq0K0eOHHElok83bNhQQbkPEX26aNEifwBYtGiRPxF9OmfOnBq+vr6jNRrN9Nq1aw+/dOmSw6xZs2r6+PiM0+l0H7Rq1apfZGSkxlBOrVq1RnTt2vWFHj169LCzs3vf0dFxysSJE5+JiIjQtG/f/mWtVvuBp6fnhFmzZmX3XU1PT6cOHTr0dnd3n6jRaKZ7e3uPf+utt1opz6ldu3avNGnSZNCQIUOedXZ2frdKlSrjBw4c+FyFChVyTUDi6+s7pl+/fh2L5eKyYsWBPbO6pLTCtdg393fP7kzGA24ZY4xZmre3d7qtrW36X3/9FRAfH69+krJ++umn57/++uvta9euXRIdHe3cu3fv/osXL269YMGCP3/55ZfV58+frzF58uSWyn0OHjzYxM3NLXn79u2/9erV6/i8efNe6tSp04BmzZrdCQ4OXti4cePrH3/8cV/DDUFmZib5+PjEL1iwYP2+fft+efPNN/evWLGi86efflpfWe6lS5eqhYWFeQYFBf2+atWq/02dOvVMRESEZ1BQUCVDnr/++qvCgwcPfCZNmnT2Sc6bWQd3xWFWlZGlh72tGolp5gf2gZ1qIi45HWtP3sGoDjV4wC1jjDGL0ul0+o8++mjjt99+29vDw6O5n5/fg0aNGt164403zvfu3Tu8MGVNnTo1ZMSIEXcAYMOGDWdWrVrV+eDBgz+3b98+BgBWr1598eTJk9UA/GPYx9fX9+GaNWsOAEC7du0O/vXXX+2dnZ2T58yZcxoAvLy89jds2LB5cHCwz2uvvXbX3t5ev379+n2G/du1axd74sQJv61bt9b//PPPLxjSbW1tM3bt2rVZ2QWnXr1613/77bemgwYNug8Av/76a9OaNWuGGerHyhZusWdWlZSWCR9nHZIL0RVHo1ahdxNfuNnbmj3gljHGGCuMjz/++NL9+/d/nDVr1pqWLVuGnjt3zr9Pnz6jp0yZ0qQw5XTu3Dn7RsDb2ztRo9FkKINmDw+PxPj4eAflPtWqVcvex9bWVtjb2yfXrl07O61evXqJAHD37t3s/caOHdvCz89vlIODw3tarfbDvXv3NouMjHRRluvr6xtu3K9+8ODBpw4fPtwgNjbWJjExUf3PP/807Nu375nCnCMrPTgiYlaVkJqJCs66QrXYA0B0UjpSM3jMD2OMseLj6uqaGRgYeCMoKOjAzZs3l7Rr1+7skiVLnler1QIAhHg8DX5KSorJmMrOzi576jYiglqtzjGVGxFBCJFj2k0bG5tceZRpKpV0KL1eTwDw8ccfN1i8eHG3Xr16nVm5cuXKXbt2/frss8+eyczMzNGNSKfTZRjX7913371qY2OTNXPmzICffvqpdlZWlmrq1KkXC7o2rHTirjjMqhLTMuHtrENSIQP7qMQ0pHBgzxhjrATVrFnz0alTpwJq1qyZBAA3b950AvAQAHbt2lUh352L0dGjR/2qV69+Z/78+ScMaQ8ePDBrAJpOp9N37Njx7J9//tnUxsYmq02bNufd3d0L90eZlRoc2DOrSkyTWuyvhicUar+opHTY29pACAFpbQbGGGPMMkJDQ+169uw5oF+/fmfatGkT7uHhkbZ79+5K69evb9esWbPL7u7umVWrVr27YMGC9g0aNIi5ffu2w8yZMztZq77VqlWLPnjwYOM5c+bUaNiwYewvv/zSKCwsrJKHh0esOftPmjTpdJcuXcYDwO+//76kWCvLihUH9syqElMz4eFoi7R7hWt9j0pMR0UXHdIy9dBpnmjCAsYYYywHb2/v9Lp1695dtWpV69mzZ7tnZWWpXF1d47t163bqt99+OwgACxcu3DRmzJiXe/XqNdrLyyty2rRpuydMmDDMGvWdOXPmyYsXL1aYNm1afwCibdu257t3737i5MmTtczZv2PHjtHVqlW7k5iYaDd06NB7xVxdVoxI2T/saUFEzgDi4uLi4OzsbO3qPNU2n7sPIQS2nLuPxcNbmL3fO0FnkJyehe9fbQRXe9tirCFjjLHSIj4+Hi4uLgDgIoSIf5KyiGjA1KlTB8yYMeO8ZWpXdun1enh7e0/o3bv3iaVLlx6xdn2YeXbv3u05YcIEm8uXL08WQiQDPHiWWVliaiacdIX/4SghNRNeTlqkZugLzswYY4wxk65cuWI/duzYlgkJCY6ffPIJz4ZTxnFXHGZViWkZcNQ6FmlfO42aB9AyxhhjTyAgIOA9e3v75ClTpmzx9/dPtXZ92JPhwJ5ZVUJqJhy1RXsb6jRqnvKSMcYYewJCiM+tXQdmOdwVh1lVQhG64hjGhdjZcos9Y4wxxpgBB/bMqhLTpBZ7IkKW3ryB3Alp0s2A1kbFLfaMMcYYYzIO7JlVJaZmwkFrAwdbNZLTzVsPIyoxHR6OWug0aqTx4FnGGGOMMQAc2DMry9TrYWujgr3WBklp5rW+Ryelwd3BlgfPMsYYY4wpcGDPSgVHrQ2SzGyxj0xMh6ejLQ+eZYwxxhhT4MCeWRkBABxsbZCUZl5gH52UDncHLexsVdxizxhjjDEm48CelQoOWrXZXXGiEtPg4WgLnY2aF6hijDHGGJNxYM9KBQet+S32UUnp8HCwhZa74jDGGGOMZePAnllNll5AJfXEgb2t2uw+9oZZcew4sGeMMcYYy8aBPbMawxz2gDx41syuOElpmXCwVUOn4XnsGWOMMcYMOLBnVpOYlglHedVZ+0IMngUAIuKVZxljjDHGFDiwZ1aTmGrUYm9mVxwDHjzLGGOMMfYYB/bMahLTMh632GvVZrXYCyFAcr98nseeMcYYY+wxDuyZ1SSkZsIpR4t9wUF6fEomnHUaAIDWRsUt9owxxhhjMg7smdXk7GNvXot9ZJI0hz0AqFQEQBRnFRljjDHGyoxSF9gT0QdEdIKIEogogog2ElEdozw6IvqFiKKIKJGI/iQiH2vVmRWN1Mdean23t7VBshkt9oZVZxljjDHGWE6lLrAH8ByAXwC0BtAVgAbALiJyUOT5CUAvAP3l/JUA/FXC9WRPKDEtE05yi71aRRCi4NZ3w6qzj1Ex1Y4xxhhjrGyxsXYFjAkheiifE9EIABEAmgE4QEQuAEYCGCKECJHzvA7gEhG1FkIcLeEqsyJKUMyKY66opHRUcNYpUrgrDmOMMcYYUDpb7I25yP9Gy/82g9SKv8eQQQhxGcBtAG1MFUBEWiJyNjwAOBVjfZmZlC325jKsOssYY4yVZ+7u7u+8+eabrQ3PiejTb775JqAkjlVS2rVr90qTJk0GFWaf4rwO5UGpDuyJSAVgNoB/hBDn5eQKANKFELFG2cPlbaZ8ACBO8bhr8cqyQktIzSh0i310Ujo8HGwLzsgYY4xZwMqVKyurVKpPGjRoMMSa9fjvv/9+HD9+/DUAOHLkiCsRfbphw4a84p4yISgoaMfmzZs3FmYf5XVguZXqwB5SX/sGAAp1N2fCt5Ba/g2Pyk9YHrMA5aw45orM1ceeMcYYKz6//fbbM926dTt+7dq1qmfPnrXaL/4NGjRIdHZ2LleLt/j5+aVVqVIltTD7lMfrYEmlNrAnonkAXgLQUQihbGF/CMCWiFyNdvGRt+UihEgTQsQbHgASiqPOrHDSM/XQ2qhzpBU0gDYlPQv2tsqbAfMG3TLGGGOFFR4ebnvs2LH6U6ZMOdGoUaNrP/zwQxPl9kWLFvkT0adz5syp4evrO1qj0UyvXbv28EuXLjnMmjWrpo+PzzidTvdBq1at+kVGRmoM+9WqVWtE165de3bt2rWnTqeb5uDgMLVfv34d9fq812ZRdkFp27btRADo27fvaCL6tFatWiMM5fbo0SPHWMUmTZoMateu3SuG55cuXXJo1KjRYI1GM93d3X3ihx9+2ND4WLdv39Z16NCht4ODw3s6ne6D2rVrD9+4cWOesw8afkH49NNP69eoUeN1jUYzvUqVKm+FhIR4BAUFVfLz8xul1Wo/rF+//tArV67YG/Yz7opTq1atEd26dXuhV69eXe3t7d93cnKaMmDAgOfzug5FPa4518nd3f2dwYMHd2jbtm0frVb7oZub2zvfffddnStXrtg3btx4kFar/bBSpUpj165dWymv62INpS6wJ8k8AH0AdBJC3DTKcgpABoDOin3qAKgC4EiJVZRZnFajRlpm4Rac0qgJGVkc2DPGGLO8GTNm1Pfx8Yns0qVL1IABA/7duXNnU1PB908//fT8119/vX3t2rVLoqOjnXv37t1/8eLFrRcsWPDnL7/8svr8+fM1Jk+e3FK5z4EDBxqr1Wr91q1bf5s4ceKOLVu2tJk0adIz5tRrzZo1vwHAL7/88vt///33486dO9eae079+/d/JSoqymXZsmUrFi5cuC4oKKhFYmKicuZBdOvWrX9sbKzD0qVLV+/YsWNhrVq1HgwdOnT4jRs37PIr+9dff31+woQJB7Zu3bpQpVLphw8f3u+TTz7p+uWXX+5Ys2bN0vDwcPexY8d2zK+MAwcONLazs0vftm3bb2+//fbuP/7447m5c+dWL+7jmrJp06bWzZo1ux0cHPzrM888c+2zzz7r07dv3z59+vT5d8eOHQu9vb2jJ0yY0Ef5niCiT6dMmdKksMeylFI3Kw6k7jdDALwMIIGIDP3H4oQQKUKIOCJaAmAWEUUDiAcwF8ARnhGnbHOwVSMxLRM6jbrgzDI7jRopGVmwtSl196iMMcbKuI0bNzbt3r37vwAQGBgY+tlnn2kXL17sP2rUqDBlvqlTp4aMGDHiDgBs2LDhzKpVqzofPHjw5/bt28cAwOrVqy+ePHmyGoB/DPu4urrGb9++PVilUqFLly5RFy5c8AkKCmozZ86c0wXVq2rVqskAULFixZQGDRokmns+ISEhHhcuXKi5Zs2a3wYNGnRfrsfmbt26jTPkWbZsWZWwsDDfiIiIHwxdXjp27LjL09MzYPbs2fV+/vnnU3mVP2TIkMMTJ068DgDDhg079tVXX/WbP3/+78prs3Pnzib51dHX1zd83bp1++XjRgcFBbXcs2dP9cDAwBvFeVxTGjdufG3u3LmnAMDLy2t/w4YNm9etW/f+Z599dhEApkyZ8s+wYcNGXrx40dHwOnh5eUW5ubkVqnuRJZXGwH6s/O8+o/TXASyX/z8JgB7AnwC0AHYCeLsE6saKkYPWBslpWYCj6e16vQBRznnrtRo10jKyADuN6Z0YY4yxItizZ4/HrVu3fCdPnrwWAHQ6nb5t27YXli1b1tQ4sO/cuXO44f/e3t6JGo0mwxDUA4CHh0fi1atXfZX71K5d+65K9bhRqnXr1ne2bt3aJj09nWxtbYvlp+hjx455qlQq/auvvvrAkNa1a9dInU6XHYgeP37cJz093dbLy+t95b4ZGRk2YWFhbvmV36pVq+zr4OvrmwgAnTp1ynFtjH8dMFatWrVw5XNXV9eE6OjofPexxHFNqVOnTnYZ9erVSwSABg0aZKdVq1YtEQBu3LjhYAjsIyIi5hX2OJZU6gJ7IUSBKw4JIVIBjJMfrJxwsLVBYlpmntvjUjLgYhTAG1rsGWOMMUuaM2fOM3q9XtWgQYN3DWlCCNjY2GTduXNnu5+fX5oh3c7OLrsvBhFBrVbn6K9DRGbFN0+KiITxuLPMzMxC/aSdlJRk6+TklLh58+blxtsqVaqUb0u0VqvNPm/DTYvxtSnoOtjY2OS6dnq9Pt99Cntcc6+Tsi6Gcm1tbXOlZWVllZrVMktdYM+eDqZa3x20NkhOzzuwj0pKg6fRjDg6jQqpGYXrl88YY4zlJzU1VbVv377Gr7/++q5+/fpdV24bPnz4oBkzZjScN2/eySc5xrVr13K04B89erSyp6dntDmt9XZ2dlkAkJmZmeMPqYuLS1JUVFT2zD3p6el07949bxcXlzAAaNGiRaRer1f98ccfFQ1dcfbs2eORmpqavfJjixYtHqxevdrR1tZW36ZNm9gnOcfSqqDrVJZxx2RmFckZWXCwzdmX3kGrzrfFPioxHe4OxoE9t9gzxhizrFmzZtVOSUnRff7556dffPHFCOWjbdu2Fzdv3tz0SY8RExPj0rNnz+579uzx+OijjxoEBwe3GjBggFljBQMCApI0Gk3mhg0bal64cMHhzp07WgBo3br1zX///bfWzJkza+3evduzW7duL6WkpGQH7V26dImqV69e6JQpU3qtXr3ad/369RVHjx7dW6PRZP/xHTdu3A1/f/87r7766qCff/65xpEjR1xXrFjh16dPn06lbQaYoiroOj0Jb2/v8V9//bXVFtDiFntmFYmpueewd7C1QXJ63kF6VFLuwN5Oo0YqB/aMMcYsKCgoqGlAQMANZXcbg8GDB1/asmVLu82bN+c5/aM5nn322XOpqak2L7300lsqlUr07Nnz6Jw5c/IcmKqk0+n0b7/99o7ly5c/FxQU1LFGjRq3r127tnzGjBlnLl68WOGTTz7po1Kp9H369DkaGxsbptx37dq1mwYPHtx7xIgRrzs6OiaOHj06ZNGiRS6G7SqVCocOHVo9fPjwzh9//PHLSUlJDo6OjokBAQG3atSoYfZA3dLMnOtUVI8ePfKIiYmxyE1CUdDTOAc4ETkDiIuLi4Ozs7O1q/NUCo1IwB+n7mHaC49vaoPPP0B8aiYGNPczuc/Ko7dQ2dUOHQO8H6cdCYOfuz2er+Ntch/GGGPlR3x8PFxcXADARV6XpsiIaMDUqVMHzJgx43zBuS2rVq1aI2rUqPEwODg4uKSPzcqP3bt3e06YMMHm8uXLk4UQyQB3xWFWEp+aCSfjFnutDZLz7YqTZrIrDrfYM8YYY4xxYM+sJDE1E47anIG9va0NkvLpihOdlA6PXINn1Tx4ljHGGGMM3MeeWUliWu7A3lFrg6QCBs96OGhzpOk0akQm5uoCyRhjjJVa165dW27tOrDyiVvsmVWYHDyrVecb2KdmZMHOaCYdHjzLGGOMMSbhwJ5ZRUJaJpy0uWfFya8rjik8jz1jjLHyyN3d/Z0333yz9ZOUMWDAgOd9fX3HWKpOrPTjwJ5ZhekW+/y74pjC89gzxhhjxadFixavVq1a9a309PTsxbCSk5NVfn5+o1q3bt23MGUNGTLk2WrVqo20tbWdbmdnN814+8aNG31atmzZz9XVdZJGo5nu4+Mz7q233mplnG/s2LEtfHx8xmk0mune3t7j33///cbm1iE0NNTOxcVlMhF9evv27expKb/66qu6AQEBwxwcHN7T6XQf+Pv7j5wzZ06NwpxfacCBPbOKxLQMOOk0OdJsbVTIyDLd+p5lYqVaQArs0ziwZ4wxVgbo9XqkpqaWqdhrzZo126Kjo11GjBjR3pD2f//3f8/FxcU5BQUFbS9MWRkZGepOnTpd6NKlywlT2w8cOFDJzc0t6Ycffvhr79698994442DK1as6DJmzJiWhjzjxo1rvmzZsi6jR4/et3fv3vmjR4/eN3v27J7ff/99bXPq8Oqrr77s5+cXbpx+6NChqq1atbqxZMmS1Tt27FjYpEmTsHfffXfIX3/9VaEw52htZerNxcoPU4Nn8xObnA43e02udJ1GxS32jDHGLK5WrVojunbt2rNr1649dTrdNAcHh6n9+vXrqNc/boCaNm1aIz8/v1FarfYDJyenKa1atep36dIlB8P2RYsW+RPRp7Nmzarp5+c3ytbW9uPff/+9yoEDB9waN248yNHRcYpWq/2wSpUqb82bN6+6cR0SExNtW7Zs2c/W1vZDFxeXyWPHjm2h3H78+HGXxo0bD9JqtR/qdLoPmjdv3v/ChQsOxuUYBAUFVZJbpafqdLppNWvWHPHHH39UzO861KxZM2X69Olb1q1b99zmzZt91q5dW2nDhg3tP/30083+/v6phbmm69ev37dkyZKj9erVizC1fdasWWd27twZ/NZbb91q3759zLfffvtvhw4dzoSEhNQ15Nm+fXvjLl26nPziiy8utG/fPubLL78837lz51O//vpre1NlKo0bN655UlKSbty4cYeNtwUHBwevWLHin0GDBt3v2LFj9MaNG//29PSMWrt2bZ28ypsyZUoTOzu7aT/88ENtb2/v8ba2ttObNWs2IDIyUvPee+81dnd3f8fOzu79bt26vaD8xcPd3f2dwYMHd2jbtm0frVb7oZub2zvfffddnStXrtgbXs9KlSqNLcpKvxzYM6tIMDGPfX6ik9LhbjTVJcCDZxljjBWfAwcONFar1fqtW7f+NnHixB1btmxpM2nSpGcM29PT09WTJk0K+fvvv39dsGBBUEREhGv//v1fMS5n5syZXaZOnbonJCRkXpcuXcKjo6NtO3TocG3t2rW/BwcH/9qiRYvQSZMmDT5+/LiLcr+NGze2q1OnTnhwcPDCQYMGHVq0aNELc+fOrQ4AmZmZ1KdPn0GJiYl2q1atWrZkyZLfw8PD3V555ZX+eZ1PTEyMtk+fPuc2bty4dNOmTYsrVaoU/frrrw998OBB7j+wCtOmTbvSqlWr82PHju0zceLEV9q1a3fu3XffvabMU6tWrRHt2rXLde5PKjExUefk5JRieJ6ZmanWarU5+u3qdLrM27dv+yYnJ+cZ1wYHB3utXLnyudWrV29Qq9UFrs6amZlJqampWjc3t5T88mVkZGiWLl3a6tdff/1j/vz5qy5fvuzfoUOHgfv27av1v//9b/UXX3yxISQkpNlXX31VT7nfpk2bWjdr1ux2cHDwr88888y1zz77rE/fvn379OnT598dO3Ys9Pb2jp4wYUIf5Y2kOXi6S2YVqRl6aG3Mv6+MTEyHp9FUlwDPY88YY6z4uLq6xm/fvj1YpVKhS5cuURcuXPAJCgpqM2fOnNOA1MJsyNu+ffsYjUazY9CgQW+Fh4fb+vj4pBu2BQYG7g0MDLxheF69evWUV155Jbs7SMeOHfdWqFCh7tKlS+u0bNnyuCG9Ro0at1euXHkIADp16hR1+vTpKgsXLmwTGBh4Y8GCBdUePnzoc+zYsdnNmzePBwAPD48NL7zwwttBQUGVBg0adN/4fMaOHXtT+bxz585bHB0dp61atcr/vffeu5rftVi9enVw7dq139VqtWlr1qzZabzdy8srztPTMyH/K1o4K1as8Dtx4kT9n3766X+GtGbNml3fvXv3M+vXr7/cr1+/B+vXr6+0e/fuZ7KyslShoaH2jRo1SjQuJz4+Xv3GG2/0Gzdu3O6WLVvGnT171q2gY48cObJtenq67cSJEy/kly8rK0u1cOHCrR06dIgBgP/9738XDx061OjOnTszfXx80nv06PFo2bJlYYcOHaoGILusxo0bX5s7d+4pAPDy8trfsGHD5nXr1r3/2WefXQSAKVOm/DNs2LCRFy9edGzQoEGuc8oLt9gzKzHdZ96UjCw9fj8ShrUn72DW7qs5+uHz4FnGGGPFpXbt2ndVqsehUuvWre9ERka6G7pVrF+/vmKjRo0Gu7q6TtJqtR8MGzZsBACcOXMmR8t7jx49cgTZ4eHhti+++GI3Hx+fcXZ2dtO0Wu2HERERnvfu3cuxX4MGDe4qnzdp0uTO/fv3PQHgv//+83JxcYkzBPXycR7pdLrUM2fOeJk6nwsXLjg899xzvTw9PQPl7kUfpKen2968edPFVH6l77//viEAkZycbH/gwAFP4+2HDx/esGnTpr8LKsdc27Zt83777bcHDRgwYP+ECROuG9KXLl26v3HjxqGDBg16U6PRfDJq1KhBHTt2PAsAebXEDxo0qIuvr2/kt99++685x54+fXrDNWvWPPf999+vr1u3blJ+eTUaTYYhqAcADw+PRHd391jljZ2bm1tiTExMji5SderUyb6xq1evXiIANGjQIDutWrVqiQBw48aNPLtWmcIt9qzUmxsSih3nH0r//1v65W9yV2mMjFpFEKLAX9QYY4wxi4qIiNCMGDFiWMOGDUN//PHHP6tUqZJ86dIll4kTJ76WkpKSY9EVDw+PDOXzwYMHdzt37lz1yZMn72rUqFG0s7Nz5pAhQwZkZGTkXKzFwvr3798nMTHR7oMPPgiuW7durIODQ1bPnj1Hpqen53vcQ4cOuS1ZsqTrpEmTtv3zzz/+77zzzisvvvjir87OzsXSshYcHOw1cODA/+vWrdupNWvWHFBuc3d3zzx48OCm5OTkLZcuXXJs2LBhwqRJk5pptdr0OnXqJJsq79y5c9UePHjgrVarPwGQHTdUq1Ztat++fQ+sX79+nyHvxx9/3OCHH37o/c0336wbP378DVPlKanV6hzdBogoV5p8zBytmTY2Ntl5DDePtra2udKysrLMawU1lFuYzIwVNxURMrP0sFE/biE5GRad/X9h9JwxxhgrLteuXfNVPj969GhlT0/PaFtbW7F//37P5ORku3nz5u0xtJqHhISYNdjx0qVLfl27dj07ffr0y4DUgh8dHe1qnO/ChQuVlc/PnTtXuVKlSpEA0LBhw0dLlixxOXnypLPh+MHBwV6pqam6Z5555pGp416/ft1v0qRJ2wz940+ePOmcnJxsn19dMzMzacSIEa8EBATcmDFjxrk7d+5cbtiw4duvvfZax82bN+8x53wLY/v27V4DBgwY3rFjx3MbNmwIySufvb29vlmzZvEAsHPnzgaNGze+amNjY7Klb82aNWsTEhKyZ+AICQmpNGvWrJeXL1++tHnz5tmt7R999FGDGTNmvPzFF1/8MWXKlGumyirtOLBnpYqjVlqkysXucWDf3N8dh69HAQBIfs4YY4wVt5iYGJeePXt2nzx58sl9+/ZVDA4ObjVq1KidANCoUaM4tVqd9fnnn7d6//33Tx46dMh7yZIlHcwpt0KFCtEHDx6su2HDhqtEJD755JNOxi26ABAaGuo3fPjwdsOHD7+8fv366qdOnao/a9as1QAwbty4G9999134oEGD+n333XfBGRkZqqlTp75Ys2bNWwMHDszVvx4AvLy8ojdt2tS4Y8eO9yMjI7WffvppN41Gk+8CMqNHj251//59r+PHj88HAD8/v7TPP/988+TJk4esWbPm0uDBg+8BQNu2bft4eXnF59cd5/jx4y737t2zu3Pnjoter6cNGzZUkPeN9vHxSd+2bZv3wIEDhzds2DD022+/PXL+/HlHANBoNHpDa3xISIjH7t27fbt163b34cOHdrNmzWpz//5975UrV240HOfrr78OmDNnTpeIiIh5AKDsKgMA9+7dsweA5557LrJKlSqpgNT95rvvvntl9OjRwb169bpnOLaLi0uGn59fWn7XqDThwJ6VuPy6zthr1UhKy4SL3eOpLQM71cTms/dQydUOzf3dEdipZklUkzHG2FPu2WefPZeammrz0ksvvaVSqUTPnj2Pzpkz5xQA1KlTJ3natGkb58+f37ljx46tKleu/GDKlCm73n///cEFlTt//vydw4cPf3ngwIEj7e3tkwcPHnwoJSUl1wwRL7/88pELFy5U6tGjx3M6nS5t5MiROydOnHgdkLpqbNiwIeitt956YejQoa8TkWjQoEHoihUr8pxb/ueff970zjvv9HrppZdGu7q6xgcGBv49e/bsbnnlDwkJ8Vi5cmXn9957b7NyAOfEiROvb9iw4ayyS86jR49ciCjfvrGTJk3qePjw4ezFpPr27TsaABYuXLhi1KhRYStWrKiXlJRkf/To0UYNGzZsZMjn5uYWFx0dPRsAMjIy6Pfff2/z448/eqpUqqyAgICwzZs3L2nTpk2sIX9MTIzu0aNHHvnVxdi6deua6fV61YIFC3ouWLCgpyG9bdu25/7555+NhSnLmuhp7J9MRM4A4uLi4uDs7Gzt6jx1ktMz8f6f/2Hu4Ka5tn274xL6N6uMmt5OOdLfWH4CS0e0yJUfAN5ccQKLh5vexhhjrPyIj4+Hi4sLALgIIeILyp8fIhowderUATNmzDhvanutWrVG1KhR42FwcHDwkxyHseKye/duzwkTJthcvnx5shAiGeBZcZgVJOYzh72jrQ0S03KOxUlIzYBDIRazYowxxhh7GnFgz0pcQlomnPII1O21NkhOy9nd73Z0Mqq65zu2hzHGGGPsqcfNoKzEJaZmwjGPwN5Rq0aicWAflYwqHhzYM8YYKznXrl1bbu06MFZY3GLPSlxiWiYc8+iKY29rg+T0nF1xbkUno0o+LfZqFeVYtIoxxhhj7GnEgT0rcQmpGfm02NvkbrGPTkbVfFrs7TRqpPLqs4wxxsoRd3f3d958883WT1LGgAEDnvf19R1jqTqx0o8De1biEvIZPGtvK013qRQelwofJ12e5ek0aqRmcIs9Y4wxZkkdOnToXbFixbGJiYk5Vqb98ccfa9nY2Hz8xx9/VCxq2VOmTGlSqVKlsRqN5iNHR8f3unTpkj3F5J49ezxq16493NHRcYpGo/nIw8NjYt++fTslJyfnGbeGhoba1atX7zVnZ+d3bWxsPnJ1dZ3UtWvXnvfu3cueRnTZsmVVqlev/oa9vf1UjUYz3dvbe/zIkSNz3TydOXPGqXXr1n0N+SpWrDh27dq1Zi0+Zm3cx56VuMS0TFR0sTO5zUFeoEpJAFCp8l5RWcct9owxxsoAvV6P9PR0lU6nKxOtUWvWrNnZsGHDsUOHDn3esPDU7du3dV988UWvV199df+rr776oCjlvvHGG23+/PPPNuPHj9/dvXv3u7GxsbYXL150NWzX6XT6Xr16nXv22WcfVKhQIXXfvn0Vvvrqq15DhgyhjRs3mlwAy8bGRnTs2PFyhw4dQqpWrZp0+vRp988+++zFvn372h07duxPAHBxcUkfMmTI8bZt24a7ubllbN68ucqPP/74koODQ8bPP/98CgDCwsJ0nTt3HlmvXr2bS5YsWV2lSpWkU6dOeVSsWDGlKOda0jiwZyUuMTXvPvYOWpscLfYZWXqo8wnqAQ7sGWOMWV6tWrVG+Pv7RwDAwYMHG6nVan2PHj1OrF+/fq9KJTUcT5s2rdHq1atbR0REeNja2mbUq1fv5vLly4Pr1q2bBACLFi3yHz169PAff/xx9U8//dTpwYMHPvPnz18ZEBAQFxgY2P369euVMzIybH18fB5NnTr17/Hjx99Q1iExMdG2ZcuW/c6ePVvHzs4udciQIQcXLFhwwrD9+PHjLm+99dYLly9frq5coKp+/fpJps4pKCio0meffdb5zp07FbOyslSVK1d++N133+3MK0D39fVN++abbzaOHz9+2OrVqy8PHTr03uDBg3u4uromLF++/FBRrmtYWJhu1apVnWbPnv2/t99++6YhvXfv3uGG/7dv3z6mffv22avFtm7dOu7AgQP+//33X5W8yvX390/95ZdfTir3OXv27Il169a1NaT17dv3Yd++fR8anrdp0yY2ODi47okTJ6oAOAUAEydObO/m5hZ36NChTYZ87dq1i83vnAYMGPD8P//8EzBw4MBjS5cufT4lJcWuffv253bs2LH9rbfeavvXX3+1EUJQ7969j/7vf/87aNiPiD4dP3781n379tW5cuVKNTc3t9iZM2duqlKlSvKbb77Z+9atW5V8fX3DV6xY8Zfx6rl54a44rMQlpuU9K46DVo3k9MeB/f3YFPi6mm7dN9BpVNwVhzHGmMUdOHCgsVqt1m/duvW3iRMn7tiyZUubSZMmPWPYnp6erp40aVLI33///euCBQuCIiIiXPv37/+KcTkzZ87sMnXq1D0hISHzunTpEh4dHW3boUOHa2vXrv09ODj41xYtWoROmjRp8PHjx12U+23cuLFdnTp1woODgxcOGjTo0KJFi16YO3dudQDIzMykPn36DEpMTLRbtWrVsiVLlvweHh7u9sorr/TP63xiYmK0ffr0Obdx48almzZtWlypUqXo119/feiDBw9s89pnzJgxYV26dDkxadKkPp999lm9EydO1F+8ePEGnU6nr1Wr1oh27drlOt/8LFu2rIYQgm7duuXs4+MzzsXFZXLz5s37nzx5Ms8VQ/fv3+9+6tSpmo0bN75l7nHOnj3rtHfv3roBAQF57vPXX39VCA0N9WvVqlV2nqNHj9apXbv2/WbNmvV3dHR8z9fXd/TEiROfyasMg8jISLf9+/fXDAoKWvXll1/+sX///qZNmjQZ+uDBA+cNGzYsGz169O41a9Z0Wr16ta9yv99///25vn37ngsODv61YsWKkRMnTuw3atSol8aPH39wy5Yti4QQGDt2bM+8jmuMW+xZiUtIy7uPvYPRAlW3ovKfEQeQBs+mcIs9Y4wxC3N1dY3fvn17sEqlQpcuXaIuXLjgExQU1GbOnDmnAWDWrFlnDHnbt28fo9FodgwaNOit8PBwWx8fn3TDtsDAwL2BgYHZrfHVq1dPeeWVV7JbqDt27Li3QoUKdZcuXVqnZcuWxw3pNWrUuL1y5cpDANCpU6eo06dPV1m4cGGbwMDAGwsWLKj28OFDn2PHjs1u3rx5PAB4eHhseOGFF94OCgqqNGjQoPvG5zN27NibyuedO3fe4ujoOG3VqlX+77333tW8rsP//ve/PQEBATW/+OKLV994441dXbt2jQQALy+vOE9Pz4TCXNMbN264CSFo2bJlz06fPn2Hh4dH2ldffdWpZ8+e/3fjxo0Fjo6O2X/Qq1WrNvLu3bsVMzMz1c8///ypdevW7S2ofPkXjoCMjAybhg0bXg0ODt5snMfFxWVyUlKSvV6vVw0YMGDf7NmzTxu2RUdHu+3Zs6fFiy++eGT69OkH9+3b5zt//vwXbG1ts3744YdzeR1XCEFbt27dVLFixfQePXo8Wr58edjDhw89/v3339U2NjaiS5cuUStXrmwfHBxcbejQofcM+3Xp0uXM559/fgEApkyZ8s+wYcNGjhgx4sDEiROvA8CwYcOOfffddy+be325xZ6VuPzmsbfTqJGi6GN/q4AZcQDuisMYY6x41K5d+66h2w0AtG7d+k5kZKR7eno6AcD69esrNmrUaLCrq+skrVb7wbBhw0YAwJkzZ3K0vPfo0SNHkB0eHm774osvdvPx8RlnZ2c3TavVfhgREeF57969HPs1aNDgrvJ5kyZN7ty/f98TAP777z8vFxeXOENQLx/nkU6nSz1z5oyXqfO5cOGCw3PPPdfL09MzUKfTTXNwcPggPT3d9ubNmy6m8hu4u7tnDhky5LBGo8lYtGjRUUP64cOHNxj63ptSv379oVqt9kOtVvthhQoV3gYAvV5PWVlZqo8++mjHxIkTr7/22mt3N23a9EdkZKT7kiVL/JX7r1+/fv2WLVsWTp8+/c/Tp0/XHjlyZFuTB1JYunTpzm3bti389ttvgyIiItz69evX3TjP9u3bl27YsGFRYGDg1s2bN7f+6KOPGhi2CSGocuXKDzZu3Ph33759H/7888+nOnbseHr9+vXNC7hGsRUrVsy+mXNzc0usVKnSIxsbG2FIc3Z2ToyKinJQ7tewYcPsG7xq1aolAkDLli2z03x9fRMzMzNtlIOA81PqWuyJqAOA9wA0A1ARQB8hxEbFdgLwOYC3ALgC+AfAWCHEtRKvLCuS5PQs2NuqTW6TBslmfwZwJzoZbaq751ueTqPiFnvGGGMlKiIiQjNixIhhDRs2DP3xxx//rFKlSvKlS5dcJk6c+FpKSkqOP3IeHh4ZyueDBw/udu7cueqTJ0/e1ahRo2hnZ+fMIUOGDMjIyDD9x9FC+vfv3ycxMdHugw8+CK5bt26sg4NDVs+ePUemp6cXeFwbGxu9SqUSyhudgqxatWpzfHy8BgC0Wm0WAFSoUCEBANq1a/fIkK9OnTrJ9vb2yTdu3Mhxg2G4aenRo8ejrKws1Y8//tjrt99+O2xrayuQhwYNGiQ2aNAgsWvXrpE+Pj4pb7zxxuv//vvv/kaNGiUa8hj6zPfq1SsiIiLCcdGiRc9/9dVX5wHAyckpwc/P75GyzFq1aj06duxY3fzOVa1W5+oTbGNjkyONiKDX63MMHLS1tc3OY7i2Wq02V1pWVlb+Aw4NxzQnUwlzAHAOwFIAf5nYPhXABADDAdwE8CWAnURUTwiRWmK1ZE9Euj8r2J3oZFR24xZ7xhhjJe/atWs5+kMfPXq0sqenZ7Stra3Yv3+/Z3Jyst28efP2GALQkJAQs6ZEvHTpkl/Xrl3PTp8+/TIgteBHR0e7Gue7cOFCZeXzc+fOVa5UqVIkADRs2PDRkiVLXE6ePOlsOH5wcLBXamqq7plnnnlkXBYAXL9+3W/SpEnb3n333WsAcPLkSefk5ORiW9q9adOmubrpvPjii3dmzZqFY8eOeTRr1iweAG7cuGGXnJxsX6NGjbi8yjK09GdmZlJ+gb2SIRhOSkrKM97V6/WUmZmZvb127dp37t2756HMc+PGDQ93d/c861aalLrAXgixA8AOIHfwJ7fWvwPgKyHEJjnt/wCEA3gFQJCpMolIC0D5E4aThavNiklaph46Tf4NCTqNGnHJGfnmYYwxxgorJibGpWfPnt0nT558ct++fRWDg4NbjRo1aicANGrUKE6tVmd9/vnnrd5///2Thw4d8l6yZEkHc8qtUKFC9MGDB+tu2LDhKhGJTz75pJMQIleLV2hoqN/w4cPbDR8+/PL69eurnzp1qv6sWbNWA8C4ceNufPfdd+GDBg3q99133wVnZGSopk6d+mLNmjVvDRw4MFf/egDw8vKK3rRpU+OOHTvej4yM1H766afdNBpNpqm85mjbtm0fLy+v+Py64xjr1KlTVOPGja988cUXLzg4OGzx9PRM++CDDzp7e3tHvvnmmzcB4MMPP2yo0Wj0bdu2DXdwcMjavXt3pV9//bVzixYtLtjb2+sB4Ouvvw6YM2dOl4iIiHmANLf+/fv3HTp16nTf3d09/Z9//vH64YcfulWrVu1OmzZtYgFg7NixLapVqxbXokWLSADYvHlz1U2bNrXt2bPnMUP9Jk2adGTo0KEjhw4d+uyoUaMu7Nq1y/fvv/9uNmXKlC1FvU4lqdQF9gWoBqACgD2GBCFEHBEdA9AGeQT2AD4A8GnxV4+Zx6wbbQhhXj47jRoPM/jHGsYYY5b17LPPnktNTbV56aWX3lKpVKJnz55H58yZcwqQuo9MmzZt4/z58zt37NixVeXKlR9MmTJl1/vvvz+4oHLnz5+/c/jw4S8PHDhwpL29ffLgwYMPpaSk5OpD/fLLLx+5cOFCpR49ejyn0+nSRo4cudMwqFKlUmHDhg1Bb7311gtDhw59XTndZV7H/fnnnze98847vV566aXRrq6u8YGBgX/Pnj27W1Gvz6NHj1yIyLw/1grbtm3bMHjw4O5jxowZQkSiTp06t7Zu3brKELTb2Njoly5d2u67777zAEBubm6xvXr1Oj5v3rzs/v0xMTG6R48eZbesOzg4ZPz111/N5s+f3yMzM1Pt6uoa37Zt20tz587NnpZTr9fTrFmzukRHR7uqVCq9p6dnzMiRI3cbXlMAGDRo0P07d+6snTVrVud169Y95+7uHjN27Njgb7755r+iXqeSROYGT9Ygv1my+9gTUVtIfeorCSEeKPKtAyCEEAPzKMdUi/3duLg4ODvnObsSKyZvrjiBxcNbFLg9MjENM3Zcxg/9G+db3vGb0ThzOwajn6th6aoyxhgrReLj4+Hi4gIALkKI+ILy54eIBkydOnXAjBkzzpvaXqtWrRE1atR4GBwcHPwkx2GsuOzevdtzwoQJNpcvX54shEgGyl6LfZEIIdIApBmem9u/m1meeTeSBCGEWVNdAjx4ljHGGGMMKHvTXRpWC/MxSvdRbGOlWFqmHtoC+szb2Urz0t+JTkaVAqa6BKSuOLxAFWOMMcaedmUtsL8JKYDvbEggImcArQAcsValmHkysvSYufMKTtyMxqzdV5GRZToYd7BVIyktC7eiklHVw8FkHiWeFYcxxpilXbt2bTl3w2FlTanrikNEjgBqKpKqEVETANFCiNtENBvAR0R0DY+nu7wPYGMJV5UV0tyQUCw5dBMCwNy/pWUHJnetnSufg9YGSWmZuBWdhCruVQsslwN7xhhjjLHS2WLfHMAZ+QEAs+T/fyE//x7AXACLAJwA4AigB89hX/qdDIvOng9HyM9NcbBVIzEtE7HJGXCz1xRYrk6j4sCeMcZYueLu7v7Om2++2drwnIg+/eabbwJK4lis7Cp1gb0QYp8Qgkw8RsjbhRDiEyFEBSGETgjRRQhx1crVZmZo7u8Ow7Blkp+b4qC1QXK6FKibM9BZp1Hz4FnGGGPFYuXKlZVVKtUnDRo0GGLNevz3338/jh8//hoAHDlyxJWIPt2wYUMFa9YpP4sWLfInok+NH+fPn3c05HnttdfaV6lS5S2tVvuBo6Pje02aNBm0Z88ej/zKrVWr1ghT5Rpen+TkZFXv3r27VKxYcaytre2Hzs7O77Zt27bP2bNnc61hNHPmzFpVq1Z9U6PRTLezs3u/SZMmgyx5Db788su6KpXqkzNnzphcP8nT0zOwZ8+e3S15zFLXFYeVX4GdauJ6RAKuPExAz0aVENippsl89lobRCamQacx775To1YhS196p21ljDFWdv3222/PdOvW7fjevXubnj171qlJkya5VlMtCQ0aNEi0xnGf1N9//z3P29s7e2bCgICAJMP/T58+7T9gwIATnTp1upeenq766KOPOvfv33/YlStXfvH29ja58uTOnTvXJicnZ8/Ccfv2bbtevXqN7dGjx0UAiIqK0ly9erXiqFGjDjz77LMPHz58aDd9+vQevXr1Gnznzp1Fhv2+/PLLut9++23vN9544+++ffveTE9PVx05csTbkuf+7rvvXpkxY0bKzJkzm6xevfqgctvixYurRkVFuY8fP/60JY/JgT0rMRq1Cs/V8Uavxr7o0SDvRgZHrRqXH8TDz4ypLhljjLHiEh4ebnvs2LH627ZtWxQVFeX4ww8/5AjQFi1a5D969Ojhs2fPXvX99993iYiI8KxWrdrdTZs2/bFjx46KM2bM6B4XF+fcuHHjq9u2bdvs6emZAUitzv7+/hEAcPDgwUZqtVrfo0ePE+vXr9+rUplu1CKiT7/++uu1H3744eW2bdtOBIC+ffuOBoCaNWveunbt2nJTc+83adJkkIODQ+o///yzEQAuXbrkMHDgwN6XLl2q7uTklDhmzJgQ42Pdvn1b99prr3U7depUnaysLJsqVarc//7774NfeeWV8MJew5o1ayZVqVLFZHfpixcvrlI+r1u37saAgID3Nm/eXOnNN9+8ZWqf6tWrpyifz549u4FGo8mYOnXqBQDw8/NLu3z58kplHhsbm+2DBw9+6/jx4y4tW7aMS01NVc2cOfOF0aNH7/rpp58MXb/Ro0ePR/mdi7u7+zvdu3c/fevWLY9Tp07Vtbe3T37//fd39OnT586AAQN6X758ubqHh0fMTz/9tGngwIH37e3t9R06dDi3a9euJgByBPbLli1rWrVq1Xs9e/bM95iFVeq64rDyLT4lA866/O8n7W1tcPFBAqq6FzwjDmOMMVZcZsyYUd/HxyeyS5cuUQMGDPh3586dTfX63DO6/fTTT89//fXX29euXbskOjrauXfv3v0XL17cesGCBX/+8ssvq8+fP19j8uTJLZX7HDhwoLFardZv3br1t4kTJ+7YsmVLm0mTJj1jTr3WrFnzGwD88ssvv//3338/7ty5c62559S/f/9XoqKiXJYtW7Zi4cKF64KCglokJibm+IPbrVu3/rGxsQ5Lly5dvWPHjoW1atV6MHTo0OE3btywAx53BVq0aJF/Qcdr0qTJGGdn53cDAgKGLV++3C+/vA8fPtQBQMWKFVPyy6e0bdu2pq1btz6fVws/AERGRuqICL6+vqkAsGHDhorx8fFOKpVK+Pr6jnZ2dn63fv36Q7dt21Zgi/2mTZtaN2vW7HZwcPCvzzzzzLXPPvusT9++ffv06dPn3x07diz09vaOnjBhQh/D+2TChAlnIiMj3RcvXpw9G0h4eLjtyZMn67388ssWba0HOLBnJSwhNRNOuvwHxDpqbXDpQbxZi1MxxhhjxWXjxo1Nu3fv/i8ABAYGhqakpGgXL17sb5xv6tSpISNGjLjTt2/fhy+88MKZ0NDQqosWLdrWt2/fhyNHjrzdqlWriydPnqym3MfV1TV++/btwV26dIn65ptv/nvhhReOBwUFtTGnXlWrVk0GpAC4QYMGicat2HkJCQnxuHDhQs0ff/xx82uvvXa3f//+DxYuXLg5IyMju8Vt2bJlVcLCwnwPHTq0buDAgfc7duwYvW3btl12dnaps2fPrgcAOp0uy8vLK8rJySnPYLp69eoJ48eP37pw4cK1c+fOXefl5RU/cuTIEX/88UdFU/kzMzNp/PjxPapVq3bnxRdfjDDnfNasWeP78OFD79GjR+cZIMfGxtrMmDGjS8uWLf/z9fVNA4CLFy+6AcDSpUufHzNmzIElS5b8z9HRMXXAgAEjDDcveWncuPG1uXPnnurYsWP0nDlz9qelpWnr1q17/7PPPrvYqVOnqClTpvwTERHhefHiRUdA+hWgatWqd5ctW9bUUMaMGTPqCyEwbdo0k6sePwkO7FmJkgL7/FvsHbQ2uBebgqpmLE7FGGOMFYc9e/Z43Lp1y3fy5MnnAUCn0+nbtm17QRmgGXTu3Dm7i4q3t3eiRqPJaN++fYwhzcPDIzE+Pj5Hq3jt2rXvKrvdtG7d+k5kZKR7enp6wbNGFNGxY8c8VSqV/tVXX31gSOvatWukTqfL7ipz/Phxn/T0dFsvL6/3tVrth4ZHdHS0a1hYmBsANG3aNCEiImLe4MGD7+V1rC5dukTNnTv3VP/+/R8MHz78zsGDBzdVq1btzo8//mhy9p1u3br1vHfvnvf69ev/MPd8Fi1a1LRixYoRedUjOTlZ1aFDh/5CCPrzzz+3GdL1ej0BwLBhww5+/PHHl/r37/9g9+7dGwGIn376qV5+x6xTp072a12vXr1EAGjQoEF2WrVq1RIB4MaNG9mv98svv3zm5MmT9R48eGALSDeMLVq0uFixYsV0c8/VXNzHnpWohNSMggN7WzVsVISKLroSqhVjjDGW05w5c57R6/WqBg0avGtIE0LAxsYm686dO9v9/PyyB4Ta2dll988hIqjV6hz9dYgIQohiC9gVxxFC5JxMIjMzs1CNuElJSbZOTk6JmzdvXm68rVKlSk80tXhAQMC98+fPVzFO79q1a8/Tp0/X3rZt27JmzZrFm1NWRESE5siRIw2GDRu219T25ORkVdu2bftHRka6HDhwYIWhtR4A/Pz8EgCgadOm2f3bnZ2dszw9PWPu3r3rkt9xbWxssl9bw42Zra1trrSsrKzs13vatGnnf/311x7ff/99/d69e9+6efOm3/Tp0/eYc56FxYE9K1EFdcXJyNJjzfHbsFERfg4JRWCnmtCo+YclxhhjJSc1NVW1b9++xq+//vqufv36XVduGz58+KAZM2Y0nDdv3sknOca1a9d8lc+PHj1a2dPTM9rW1rbAad7s7OyyAKn7ijLdxcUlKSoqKntqxfT0dLp37563i4tLGAC0aNEiUq/Xq/7444+KgwYNug9Iv0ykpqZmt6S1aNHiwerVqx1tbW31bdq0iX2SczQWGhpawc3NLXt2H71ej+7du/c8fvx4wMaNG5e3a9fO7ON9//339bOysmzef//9f423GYL6hw8feuzfv395zZo1c3RV6tWr14PAwMCsf//91wPAbcM+UVFRrn5+fnFFP0PTKlasmN6iRYsLmzZtanrz5k13Ly+vqJEjR9629HEADuxZCcvU62Frk3egPjckFMv+CStwdVrGGGOsuMyaNat2SkqK7vPPPz+tbJkHgLZt217cvHlz0ycN7GNiYlx69uzZffLkySf37dtXMTg4uNWoUaN2mrNvQEBAkkajydywYUPNevXqxTs7O2f6+fmltW7d+ubChQu7z5w5s1bjxo1jvv766zYpKSnZQXuXLl2i6tWrFzplypReWVlZW21tbfXTpk3rodFoMg15xo0bd2P27Nl3Xn311UHvv//+7hYtWkRdvXrVaePGjbUGDRp0eeDAgffPnDnj1L179+Fz5szZkFc3mDfffLN1jRo1Ytq2bfsoMTHRZu7cuc9cvXq12rx587JnrOnateuLhw8fbvjzzz+v8fLySjfMcV+pUqVUd3f3TABo27ZtHy8vr/hNmzb9rSx/w4YNTZs0aXLZOGhPTk5WtWnTZsCtW7cqLl++/H8ZGRkqQ7n+/v4pjo6OWb6+vmmdO3c+uXTp0o7VqlWLr1evXuwXX3zRDgAmT558wZzXoLBGjhx55o033nj94cOHXq+++uqh4jgGwIE9K2XMXZ3WGBEhSy+gVhX7L52MMcbKuaCgoKYBAQE3jIN6ABg8ePClLVu2tNu8ebPPkxzj2WefPZeammrz0ksvvaVSqUTPnj2Pzpkz55Q5++p0Ov3bb7+9Y/ny5c8FBQV1rFGjxu1r164tnzFjxpmLFy9W+OSTT/qoVCp9nz59jsbGxoYp9127du2mwYMH9x4xYsTrjo6OiaNHjw5ZtGhRdvcTlUqFQ4cOrR4+fHjnjz/++OWkpCQHR0fHxICAgFs1atRIBIDU1FT1o0ePPBISEvL8CT4jI0P9448/dv/kk0+cNBpNRuXKlcPnz5//+5gxY7LrExIS0hwARo0aNUK577vvvrtp5syZZwHg0aNHLkSU41eMPXv2eNy4caPKO++8k2NaSwA4d+6c87///lsHAPr06TNGuW3hwoUrRo0aFQYAf/31167+/fvrP/zwwz6ZmZkaf3//u+vWrVvh7+//RN2N8vL666/ffv/996OioqLcp0yZcq44jgEAZNwX62lARM4A4uLi4uDs7Gzt6jxV3lxxAouHt8hz+6zdVzH372sQkFanDexcy6wW+8A1Z/Bd34Zw0PK9KmOMlVfx8fFwcXEBABchhFl9sfNCRAOmTp06YMaMGRafmaQgpuabZ6ywdu/e7TlhwgSby5cvTxZCJAPcYs9KGcNqtCfDotHc3z3P1WmN2WlUSM3I4sCeMcYYY08tjoJYqaJRq4rUp16nUSM1M/eiIaVJRpYec0NCc9y08MBgxhhjjFkKB/asxKRlZhVbIGunUSMlPatYyraUuSGh2d2MjlyPAsADgxlj7Gl07dq15dauAyufuLmQlRhzFqcqKq1GjdSM0h3YF3VgMGOMMcaYOTiwZyWmoDnsn4RO7mNfmjX3d8/+Pxk9Z4wxxhh7UhzYsxJjzqqzRWWnUSM1o3T3sX+tVRXU8HKAm70GgZ1rmT0wmDHGGGPMHNzHnpWYhNRMOBdbi70aKRZosS/OAa77rz7ChM61sPHMPUzqUgtEPOc+Y4wxxiyHW+xZiSn+FvsnD+wNA1wPX4/C3L+vYW5IqAVqJwm5HIGOAd6o6GqH+3HFsv4FY4wxxp5iHNizEhNfBvrYF9cA18S0TOiFgLNOgwaVXHD+XpxFymWMMcYYM+DAnpUYqStO6Z4Vp7gGuO69HIGOdbwBAA19ObBnjDHGmOVxYM9KjNQVp3ha7C01ePaF+j5oUMkZvq52GNTCz2IDXHdfDEeXej4AgNoVHHH5YYJFymWMMcYYM+DBs6zEFOc89pYaPPv70duYNbAJYpMzcPRGlEUGzqZmZCExLROejloAgNZGjYwsPYQQPICWMcYYYxbDLfasxJT2wbPRSemITExDbR8nPFPFFadvx1ikboeuReLZWp450io46xAen2aR8hljjDHGAA7sWQkq/gWqnqwrzv+O3cLQVlUAADZqFVzsNIhMfPLge+eFh+hev0KOtPrcz54xxhhjFsaBPSsxGVkCtjbF85Z70q446Zl6HLkRhedqe2WndazjjX1XHj1RvTKy9IhISEMlV7sc6Q19XfAfB/aMMcYYsyAO7Fm5oNOokfYEgf3Wf+/jxYaVcvR5f662F/ZffbLA/vjNaLSqnntmnYAKTrj8MP6Jyn5SGVl6zNp9FUN+O4pZu68iI6t0r9zLGGOMsfzx4FlWLug0qiK32AshsOHMPSwa1jxHupuDLRJTM5CRpS/0IFrDCrbrTtxBt3o+ucrQadRIy7RuIG1YjEsAOHI9CgAwuWttq9aJMcYYY0XHLfasXLBVq4rU4pyRpceU9edw41ESFuy/nquM5v7uOBlW+EG0hqD5YXwqVh69ZXIFWy9HLSISrLcC7fGbUcWyGBdjjDHGip9enzvu4cCelSBRcJYiKuq0kXNDQvHn6Xu4F5uCuX9fyxWAd6zjjb1XInKkmdOFxZwVbBtWtu4A2sTUTCivWv1KzhYrm7v5MMbKgIyUlJTi+8PEWDFLSUlRZ2ZmZgHIMKRxVxxWItIysywyJ7ylKQNuUwF43YpO+HZHzr7w5nRhae7vjiPXpRbxvFawrV/JBf+ERqJTgE++dTR06zkZFo3m/u4I7FQz17U0J4/SmuO30THAG53q+uBkWDT83OwRm5SRZ/7C4m4+jLEyIPrGjRuUmpqq0ul03PrAypwbN244JSQkXBFClP3AnojGAXgPQAUA5wAECiGOW7dWLC/FuTjVk2ju747DcuBpKgAnIvi52+N2VDKqeNgDAA6HRhbYGh/YqSb+uxeLB7Gp6Fa/gskVbOtVdMbigzcKrKM5QfLckFD8/Pc1IJ88huB/7+UIpKRnYtuEZ6HVqLO3f7zxPE6ERaOFiZuQgihvLGp6OeLvy+EFXqPC3owwxpiFXbx9+3bM/v373bt37x5p7cowVhjp6el09OhRu/Dw8BPK9NIXaZmBiAYCmAVgDIBjAN4BsJOI6gghIvLbl1lHcc5h/yQCO9XElnP3UNHFLju4NNapjjdCLodjRLtqOH8vDg/jUkFAvq3xGrUKVd0d8OlL9eHv6WDy2Ha2BU/RmZCagaDjtwsMkg+HPv6blFce5Q0CAfhl3/Ucwf+UbnXw9v9OYfnrLQsdYM/Zcw3z9krdmA5fj0K9ik64H5uaXe8Hcam4Fp6ALf8+yA7k9XqBX/aG5rhhCexUM0ewP+a56vh1/40Cg3/jmwRT+xmuQWFuJEzdfBiXY86xzK1PcZXNdeQ6WrOOpfWGXQjxyMnJ6cSiRYt6VK5cOaV+/fpJ1q4TY+ZIT0+nL7/8MuDUqVN3IDVuZyuTgT2AyQB+E0IsAwAiGgPgRQBvAPjOmhVjphXnqrNPQkWEmt5O+O3/mueZp0U1N3yz/RKCTtxBakYW1o1ujaCTdxF0/DZ6Na5k8mYAAO7GJMPP3T7f47s72CIyMQ2ejloAOQNJX1c73I5ORodaXvjz9N18bySy9CL7ZgMAmlV1y5XnnwJ+aXCx1+Dlxr54fdkJ6IUwq9tPs6puqOHliN+PhOXI42ynQWDnWtl/3Ps0qYQ3fz+J64+kv5uHr0dBZ6PKUZ+VR8Jw5HokTobFZAf7B68+wtk7sfkG/289Ww3TN5zH5nP3s8veef4BroYnZu934V4cEtIycfymdM5HrkchNT0LOlt1vkGKqZsPADl+QTl6IwonbkZnP38Qm4KEtEwEn3+Yfax9l8Px3734x+UIgUy9wIJ917PT0jKyoFIRflWkHQ6NxKlbj69HakYWhBBYfPBmdtr+KxH4925c9vPYpHSAgJVHbuWZJzktE0TIUc7h65E4pbj2EAICwLyQx+efkaWHEMDC/Y/reOjaI5y5HZvzPIjwqyLPP6GROK04j7TMLEAAiw7cyLccELBo/w1FOY9w+lbOPALAb4pyUtIzAeQ8N+OyU9KzQAB+O5j38VPTpbIXF5AHZpRjnMewSvZv+Zy/pfIYpgHO71qbKsdSZQOluxteYmLiyt27d9vGxMQ826xZM1Xjxo3jXFxc0tVqNfe9Z6WKEIJSUlLUYWFhjkePHtWdOXPmzo0bNxYIIR4o85kVaRFR7yLUYbcQIqUI+xVUF1sAzQB8a0gTQuiJaA+ANnnsowWgVSQ5WbpeLH+ltcU+PiUDzgXUa8mhMNyIlAJSAhB08i4md60NN3sNqns55tkapReAWpX/oN6G8gq0z9fxBpCzVR0ARj9XHVO61UElNztsPHMXjSq75rqRiEhIhbujbXYgrdOoodfn/Jv0791YhJvxS8PdmGQcklv/8+v2Y6jj4etRaF/TA6+1rpodpBKAltU8cu3n46zLDuwBwNNJi3sxKdn7DG1VFQevPcoR7J+/H5fj+Zpjt3DmdgwOXYvMPv7ms/dyncetqOQc+92NTYFWsTiaALDyaBhS5NWKD1+PwpZzUjk3I5Oz03Sa3Dcfhv8b/jUErIbnx25GQWvzuIuTAHA5PCFnOUdvQUWUI+3P03chRM6yDTc1hucbTt8DUc48lx7E53i+55LUDSq/PFvO3c+V5+ztnMdadfQWYHSsdSfv5LiBFAD+u5fzNfpLvglVpp0zOo8/T93NdR1zl3MPgMiR9u+d3McyLmfT2fsFlr1Rfs/kyHM3Z54NZ+7lOn/jcjaYKseMPBtOm3F8C+UxdY3MKce8sgvOU9pn2xJCpBDR4r179x47evRoQ29v74a2trZaIiqdPzOwp1pmZmZGYmLihYiIiJMA/hVCPDTOY24T6sZCHlsAqAWg4A7EhecJQA0g3Cg9HEBAHvt8AODTYqgLM1NpbbGPTcmAm33+gX1eA2zrVHDC+XtxOVarNUhIzYCDtuDzrVvBCXNCQrHowA00reKGHf89yP6jCEh/JDVqFSZ3rY3RHapj9MpTUBvNALRo/w2Mfa5GjkD9003nMWbVKcSnZMDN3hYpGZnYOK4dfj96K1cLdY5zvRWT41w3nLmL3o0qYvO/D3D0RhS8nLQ5ZvwBpBuYSV1rw0atyrds4wHFLzfxhVpFOfZRqSi7ZZkANK3ilt0aTgBeaVoZh69H5jh+JVepG5Wym1EjP9cc+3WvXyH7ehrSPBy1uBvzuO2hoou0OrAhsAcAT8ecNx/D2vgDQI5jPVM1dx0BIFSRp4lfzjymyhnSqmqBZQ9uVSVXniZG1+jV5n4F5hnYMnc5xsd6zUQdh5qoo/FrNNiM8zB1rrnLyV3HprmuR+5yBpk4t1xlm8pjxrU2qxwz8ph3bpbKY+Jam1GOpY5vqgGhtBFCpAI4AeAESVOsaYAck4YxVlpkCCHyHehdmEirgrn914kooRDlloRvIfXJN3ACcNdKdXkqxadmwrnYA3uCXi+gKqCVXCkmOR2uBQT2ec1wE1DBGX+cNP02Co1IRE0vxwKPv/9qZHbL+OHrUajmaZ9nq7qD1gbP1/HCtv8eoFfjSgCk1vpb0cm5/ng66TRYceRW9vPxHWvC00lb4E/ixufawt8d76w7i/P3Hs8M1LiyCyLi03LU0XDzkR9DsJ9f31vjPKb6684NUePi/fgcxzdnPwNT3WyU17qgmw/jcsw5ljl5irNsriPXsTTUsSwQQggA6dauB2NFRdJ7uIBMRMsATBBCmBWwE9ECAB8LISw+ylzuipMM4FUhxEZF+goArkKIl80owxlAXFxcHJydLTd3N8vbkkM3EVDBCe1qehbbMcb97zRmvtoYdrbqgjPLQi6H435sKl5rXTXPPPnN3vL6suNY9nrLXPusP3kHDlob9GxYMd/jD/ntaPasPADQuro7WlbzyDP4Tc3IwhvLT+D3N1rCRq3CV1svokeDCrkCe+Ny29bwwP/eap3/xcjjXIcvPV6oOhY3S82mY87A2NI88I+xp1F8fDxcXFwAwEUIEV9QfsaeNmY1oQohXi9MoUKIsUWrjlllpxPRKQCdIXcRkvvCdQYwr7iOy55MSXTFsdOokZqRVajAPiZJ6qqSn/xao9UqFTKz9LAxCv5CIxLRr1nlAo9v3EJuqm+6kk6jxgsNK2LDmXt4ro6XydZ6U+Wa+3O4qXMtbB2Lmzm/DjxJOaV5oB9jjDGWn9LX6dk8swCsIKKTAI5Dmu7SAcAya1aK5a0kBs/qNCqkZuY/faSxmOR01KtY9F9tqnnaIywqCTW9c47HvhmZBH8P09NcKpnqnlKQvk190f2nA/hx11U8W8sTGVn6Aru0PMnP4ZYsizHGGGPFp9CBPRHpAAQC6AjAG0COiEII8YxlqpY3IcRaIvIC8AWkBarOAughhDAeUMtKiZJosdfZqJGSXrjAPi4lA64FtNjnp04FZ1x+mJArsM/UC9jaFNyFoyitzwsP3MDdWGnQ5x+n7qKiq12uMizVqm3pshhjjDFWfIoSaS0B0A3AH5BaywvupF8MhBDzwF1vyoySWHnWzlaN1IzCrQpuzuDZ/ARUcMLOCw/xUqPHaakZWTmmVrS0vGbpYYwxxtjTrSiR1ksAegoh/rF0ZVj5lZGlzzG3d3HQaQpeydVYTHLBfezzU9PbEb/sTcyRdv1RIqp7FdwNp6iK2n+eMcYYY+VbUQL7ewBK23SW7CmXkaXH0RtR2P7fA3Su62P2bCZphRxsa0wnD9hVCo1IRC3v4lsDjfu8M8YYY8yUogT27wKYQURjhBC3CszNWAmYGxKKg9ek2VUv3pdmQCupfuH2WhskpmXCUV6Q6npEIrrJCyIVB+7zzhhjjDFTitIR+CQAHYAbRJRARNHKh4Xrx8qN4l3Ez5r9zmt7O+Fq+OMfsa4/SkINMxanYowxxhizpKK02K8B4AvgQwDhsNLgWcaUrNnvvE4FJ1x5mIBnqrgBAFKesHsPY4wxxlhRFCWwbwugjRDinKUrw8qn9Ew9NOribbE39DPf/u99+Hs6mNXvPC0zyyKritat6IRl/4QBkPr6q1XFe66MMcYYY6YUJaq5DMDO0hVh5VdJzGFv6He+dcKzSM3Qw8aM4Do2+cnmsDfwc7PHnehkAMCtqGT4e9g/cZmMMcYYY4VVlMB+GoAfieh5IvIgImflw9IVZGVfSaw6a6DTqNHc3w3/hEYVmDcmOR1uTzCHvYFKRdALASEEQiMSinVGHMYYY4yxvBQlsA8G0AbA3wAiAMTIj1j5X8ZyKInFqZSGtqqKVUcLnrApJunJ5rBX8nbS4VFCGkIjElHDmwfOMsYYY6zkFSXa6mjxWrByTeqKUzIt9gDg5aSFi50GoRGJqJlPkB2Xkg4XC7TYA9IA2ssPE3AtIhHD2vhbpEzGGGOMscIodGAvhNhfHBVh5Vd8CbfYA8Dr7f2x/PBNfPVKwzzzxCRnwNNRa5HjBVRwwvn7cUhIzYSLXcndxDDGGGOMGZjVFYeIGhGR2d12iKg+EZVsJMdKrYTUDDiXcGAfUMEZ92NT8c32Sxjy21HM2n0VGVn6HHks1ccekFrsLz1IAE+IwxhjjDFrMTfaOgOgAoBHZuY/AqAJgBtFqBMrZxJSM1HJteQnUnLUqrHogPQWPHJdGkyrXLHVUrPiAICHoxYX78ejdfWSmz+fMcYYY0zJ3MCeAHxJRMlm5rdMtMTKhZIePGvwKCE9+/+mVqONSbJci31Glh7J6Zk4eC0Ss3ZfRWCnmhaZI58xxhhjzFzmRlsHANQpRLlHAKQUvjqsPCrpwbMGLaq548gNqaXe1Gq0cSkZFusPPzckFHdipLf83L+vAcj56wBjjDHGWHEzK7AXQjxfzPVg5Vh8CSxQZUpgp5rYfyUCahWhfS2vXKvR6oWAjYVa1ZW/Bpj6dYAxxhhjrLjxAFdW7KzVFUejVuGlRpVQ39cZbWt4Fuuxmvu748j1KAiY/nWAMcYYY6y4cWDPil1Glh5aG7VVjl3ZzQ53Y4q/V5jh14CTYdFo7u+e69cBxhhjjLHixoE9K9f83O2x62J4rnQhhEWPo1GruE89Y4wxxqyKp+1g5VplNzvcjc49mVNiWiYctHxfyxhjjLHyw6KBPRHxkpusVHGx0yA2JSNXemxyBtwsNIc9Y4wxxlhpUJjVZFcSkXM+25tDWsiKsVKDyPRSsDHJ6XC10Bz2jDHGGGOlQWFa7OsBuEhE3ZWJRKQhom8BHAZwyJKVY2VfeqYeNirr9vjSqAnpmfocaTHcYs8YY4yxcqYwEVcrAEsBbCGihUTkKLfSnwUwBMBLQogxxVBHVoYlWGkOe6WKLnZ4GJeaIy2WW+wZY4wxVs6YHdgLITKFEJ8AaAugHYCrkFrpjwJoKITYVTxVZGWZNIe9dQPoym52uBOTcwBtbHIGXLnFnjHGGGPlSFH6SKQCyADgAiAdwF4hRLxFa8XKDWstTqVU2c0ed40C+5jkdLhxiz1jjDHGypHCDJ4lIvoAwElI3W98AUwFsICI/iIir+KpIivLSkNXHFOLVPGsOIwxxhgrbwrTYn8UQCCA/kKI14UQsUKI+QAaA/CENLB2YHFUkpVd8amZcLZyVxw/d/tcgT3PisMYY4yx8qYwgf1NAA2EEFuUiUKIGwCeA/ANgCUWrBsrB0pDi72LnQbxRnPZJ6ZmwpEXqGKMMcZYOVKYwbODhBDReWwTQoifADS1WM1YuZCQmglnO+u3jAsTaXnNcc8YY4wxVhZZdIJxIcQ1S5bHyr7SMHgWkOayT8vMyn7OMT1jjDHGyhvrrhxkhIj6EtEuIooiIkFETUzk0RHRL3KeRCL6k4h8rFBdZgapK471W+wrudrhQWxqwRkZY4wxxsqoUhXYA3CAtHrt+/nk+QlALwD9IfXtrwTgr+KvGiusjCw9jlyPwtQ/zmHW7qvIyNIXvFMx8XN7PIA2M0sPFTfZM8YYY6ycsX4fCQUhxEoAICJ/U9uJyAXASABDhBAhctrrAC4RUWshxNE89tMC0CqSnCxZb2ba3JBQXHggLXFwMiwGADC5a22r1EWa8lKayz42JYNnxGGMMcZYuVPaWuwL0gyABsAeQ4IQ4jKA2wDa5LPfBwDiFI+7xVhHJjtxMyr7/wLAyTCTY69LRGU3++zVZ3nVWcYYY4yVR0VqsSciB0jdYKoAyBEhCSF+tkC98lIBQLoQItYoPVzelpdvAcxSPHcCB/fFzs3h8VuDADT3d7daXSq7P16kKpbnsGeMMcZYOVTowJ6ImgLYDsAeUp/4aEgLVCUDiABgVmBPREMBLFQkvSCEOFjY+phDCJEGIE1x7OI4DDOSlJaJMc9Vx79349Dc3x2BnWparS7OOg0SUzMBADG86ixjjDHGyqGitNj/BGALgDGQurW0BpABYBWAOYUoZzOAY4rn98zY5yEAWyJyNWq195G3sVLi3J1Y1PR2wrQX6lq7KrnEJKfDjVvsGWOMMVbOFKWPfRMAPwoh9ACyAGiFEHcATIW0+qxZhBAJQohQxSPFjN1OQbqJ6GxIIKI6kLoEHSnEObBituJwGEa09bd2NXLQqFVIy8xCbHI6XOy4xZ4xxhhj5UtRWuwzABjmLYyAFFRfgtR67/cklSEid7m8SnJSHbnbzEMhxEMhRBwRLQEwi4iiAcQDmAvgSF4z4rCS9yAuBRl6AT93e2tXJQdfNzvci0lBbHIG3By4xZ4xxhhj5UtRAvszAFoAuAZgP4AviMgTwDAA55+wPr0BLFM8D5L//RzAZ/L/J0G6sfgT0hSWOwG8/YTHZRa04vAtDG9T1drVyEWa8jKF+9gzxhhjrFwqSlecDwE8kP8/HUAMgAUAvACMepLKCCGWCyHIxOMzRZ5UIcQ4IYS7EMJBCNFXCMH960uJ5PRMXHwQj2ZV3axdlVwMi1TxrDiMMcYYK48K3WIvhDip+H8EgB4WrREr0/48fQ/9nvEtlTMPVXa3w+nbMUjP1ENro7Z2dRhjjDHGLKqsLVDFSqmMLD1+3HUFM3dexrXwRGRk6QveqYT5utrhTow5Y7QZY4wxxsoes1rsiegMpMVDCySEeOaJasTKpLkhoZgXEgoB4Je9oVCpCJO71rZ2tXJw0mmQlJaJ0vdbAmOMMcbYkzO3K87G4qwEK/tOhkVn3/kJ+XlpVQp7CTHGGGOMPTGzAnshxOfFXRFWtjX3d8fh61EAAJKfl0ZaGxVUKo7sGWOMMVb+FGW6SwAAETUDYFhW9IIQ4oxlqsTKosBONRFyORw6GzXa1vREYKea1q6SSZXd7JCSkWXtajDGGGOMWVyhA3si8oY0v/zzAGLlZFci2gtgkBDikcVqx8oMjVqFii52+PW1ZlCX0hbxjCw9roYn4npEImbtvorATjWhUfP4ccYYY4yVD0WJauYCcAJQX55L3h1AAwDOAH62ZOVY2SKEKLVBPSAN8D1w9RHuxqZg7t/XMDck1NpVYowxxhizmKJ0xekBoIsQ4pIhQQhxkYjGAdhlsZqxMkeYNW+S9ZSlAb6MMcYYY4VVlBZ7FYAME+kZRSyPlQMp6VnQaUr3ok/N/d2zp7oszQN8GWOMMcaKoigt9iEA5hDRYCHEfQAgIl8APwH425KVY2XHw/hUVHDRWbsa+TIM6D0ZFo3m/u6ldoAvY4wxxlhRFCWwHw9gM4AwIrojp/kBOA/gNUtVjJUtD+JSULGUB/YatarULZrFGGOMMWYphQ7shRB3iOgZAF0ABMjJl4QQeyxaM1amPIwr/S32jDHGGGPlWZHmsRdCCAC75QdjeBCXitbVPaxdDcYYY4yxp1aRBrsSUWci2kpE1+XHViLqYunKsbKjLHTFYYwxxhgrzwod2BPR2wCCASQAmCM/4gFsl6e8ZE+hiPg0eDlprV0NxhhjjLGnVlG64nwIYJIQYp4i7Wci+kfe9otFasbKlCy94FVcGWOMMcasqCiRmCukFntjuwC4PFFtGGOMMcYYY0VSlMB+M4A+JtJfBrD1yarDyqLUjCxoNdxazxhjjDFmTWZ1xSGiCYqnFwFMJ6LnARyR01oDaAfgR0tWjpUN4fGp8HHmgbOMMcYYY9Zkbh/7SUbPYwDUkx8GsQDeAPDVk1eLlSUP4lJ5RhzGGGOMMSszK7AXQlQr7oqwsktanMrO2tVgjDHGGHuqccdo9sS4xZ4xxhhjzPqKtPIsEVUG0BtAFQC2ym1CiMkWqBcrQ6TFqSpauxqMMcYYY0+1Qgf2RNQZ0sw4NwAEADgPwB8AAThtycqxsiE8PhXeTtxizxhjjDFmTUXpivMtgJlCiIYAUgH0A+AHYD+A9RasGysjMrMEbG24VxdjjDHGmDUVJRqrC+B3+f+ZAOyEEIkAPgHwvqUqxhhjjDHGGDNfUQL7JDzuV/8AQA3FNs8nrhErU9Iz9bBRk7WrwRhjjDH21CvK4NmjANoDuARgO4AfiaghgL7yNvYUCY9PRQVenIoxxhhjzOqKEthPBuAo//9T+f8DAVyTt7GnyIO4VFR05TnsGWOMMcasrVBdcYhIDaAygNsAIIRIEkKMEUI0EkL0E0LcKmpFiEhDRDOI6D8iSiKi+0T0OxFVMsrnTkSriSieiGKJaAkROeZVLite0lSX3GLPGGOMMWZthQrshRBZAHYBcCuGutgDeAbAl/K/fQHUgTS1ptJqAPUBdAXwEoAOABYVQ32YGR7GcVccxhhjjLHSoChdcc4DqA7gpiUrIoSIgxSsZyOi8QCOE1EVIcRtIqoLoAeAFkKIk3KeQADbiWiKEOK+JevECvYgLhUvNOCuOIwxxhhj1laUWXE+AjCTiF4ioopE5Kx8WLh+LgAEgFj5eRsAsYagXrYHgB5Aq7wKISKtUR2dLFzPp9bDuFT4uGitXQ3GGGOMsadeUVrst8v/boYUdBuQ/Fz9pJUCACLSAZgBYI0QIl5OrgAgQplPCJFJRNHytrx8AGmgL7OwjCw9tDYWeckZY4wxxtgTKEpg39ESByaioQAWKpJeEEIclLdpAKyDdLMw1gKH+xbALMVzJwB3LVAuY4wxxhhjpUKhA3shxH4LHXszgGOK5/eAHEF9VQCdFK31APAQgLeyECKyAeAub8urzmkA0hT7PGndGaTWerWKryVjjDHGWGlQlBZ7AAAR2QOogser0AIAhBD/mrO/ECIBQIJRmYagvhaAjkKIKKPdjgBwJaJmQohTclonSGMFjoGVqIiENPjwjDiMMcYYY6VCoQN7IvICsAzAC3lkKVKHazmo/wPSVJcvAVATkaHffLQQIl0IcYmIggH8RkRjAGgAzAMQxDPilLyHcSmowHPYM8YYY4yVCkWZFWc2AFdIs9CkQJp+cjiklWd7P0FdfOX9KwM4C+CB4tFWkW8ogMsA/oY0kPcQgFFPcFxWRPdjU3lxKsYYY4yxUqIoXXE6AXhZCHGSiPQAbgkhdhNRPKTZZ7YVpSJCiDBIg2ULyhcNYEhRjsEs62FcKhr4uli7GowxxhhjDEVrsXfA4yknYwB4yf//D1I3GvaUeBDHLfaMMcYYY6VFUVrsrwCoAyAMwDkAo4koDMAYSN1m2FMgI0uPA9cicPFBHFpW80Bgp5rQqItyn8gYY4wxxiyhKIH9HAAV5f9/DiAYUr/3dAAjLFMtVtrNDQlFaEQSQiOScOxGNABgctfaVq4VY4wxxtjTqyjz2K9S/P8UEVUFEADgthAi0pKVY6XXybDo7P8Lo+eMMcYYY6zkPVHfCZJWekoRQpzmoP7p0ryqW/b/CUBzf3frVYYxxhhjjBUtsCeikUR0HkAqgFQiOk9Eb1q2aqw0G9q6KupWcELbGh4I7FwLgZ1qWrtKjDHGGGNPtaIsUPUFgMkA5kJaCRYA2gD4iYiqCCE+sWD9WCkVk5yO5wO88X6PAGtXhTHGGGOMoWiDZ8cCeEsIsUaRtpmI/oUU7HNg/xSIiE+Dt5PW2tVgjDHGGGOyonTF0QA4aSL9FIp2o8DKoIiENHg78Rz2jDHGGGOlRVEC+5WQWu2NjQKw+smqw8qKiIRUeDtziz1jjDHGWGlR1Bb2kUTUDcBR+XkrAFUA/E5EswyZhBCTn7B+rJSKiE+DD7fYM8YYY4yVGkUJ7BsAOC3/v4b8b6T8aKDIJ56gXqyUe5SQxi32jDHGGGOlSFEWqOpYHBVhZUtqRhZ0GrW1q8EYY4wxxmRPtEAVY4wxxhhjrHTgwJ4VmhDcy4oxxhhjrLThwJ4VWkJaJhx1PLMpY4wxxlhpwoE9KzRenIoxxhhjrPThwJ4VWkRCKi9OxRhjjDFWynBgzwqNp7pkjDHGGCt9OLBnhRYRnwYv7orDGGOMMVaqcGDPCo274jDGGGOMlT4c2LNCi+CuOIwxxhhjpQ4H9qzQ/r+9e4+yq6oTPP79pVKERyChgBghhCA0iIKgSXiKYBDFaR1aR4UhreI4bUsLishqBx/djoyttgqOBbNG8EXb6QGRbhoUQUmkFQyR8H4FEiQEyAtSSSqBPCpVv/njnCpuKpWQSm7VvXXr+1nrrrpn733P+d0N6+Z3991n77XrN7HnKJe7lCRJqicm9tohEVHrECRJklTBxF6SJElqACb26pf1HZ3s2txU6zAkSZLUi4m9+sWlLiVJkuqTib36Zfma9a6II0mSVIdM7NUvy9dscA17SZKkOmRir35Z1r6ecU7FkSRJqjt1ldhHxFciYl5EvBQRKyPi9og4rlebloiYERHtEbEqIn4YEaNrFfNw4+ZUkiRJ9amuEnvgSeB84CjgrcBC4NcRsV9FmxnAG4HTgfcAbwOuGtwwh6/l7U7FkSRJqkd1tX1oZv5L5XFEXAR8HHgTMDMijgDOAKZm5tyyzQXALRFxcWYuHuyYh5vV6zay9+7NtQ5DkiRJvdTbiH2PiNgF+ASwGniwLD4BWNWd1JduB7qA49iKiBgVEXt1P4A9ByjshpfprrOSJEn1qO4S+4h4T0SsBdYDnwVOz8wXy+rxwPLK9pm5CWgr67bmEoovCN2P56odtyRJklRLNUvsI2J6RKyteJxcVv0WOAY4EbgV+FlEjNvJy30dGFPxmLCT5xuWNm7qYmSTo/WSJEn1qJZz7G8C5lQcPw+QmS8BC8rH3RExn2Ke/deBpcBmSX5EjARayro+ZeYGYEPFa6rzDoaZF9duYN/RrogjSZJUj2qW2GfmGmDNdjQdAXRnk7OBsRExOTPvLcumlW3m9PVi9U9HZxetsxYwd2EbUya1cMG0Q2luKn7YcXMqSZKk+lU3q+JExB7AFylG8pcA+wKfAg4ArgfIzMcj4lbg6oj4JNAMXAFc64o41dE6awGtM+eTwOynVgBw0emHAbC8fb1r2EuSJNWperp5thN4PXADxXr2NwP7ACdn5qMV7aYD84CZwC3AnRSr56gK5i5sI8vnWR53K0bsTewlSZLqUd2M2GfmeuD929GuDThn4CManqZMamH2Uyt6kvspk1p66pav2cAxB46tSVySJEnatrpJ7FUfLph2KPcsbKN9XQer13Vw3imv66l7Yc16R+wlSZLqVD1NxVEdaG4awZhdm/n5J0/kYycdzB1PvNBT9+LajezjqjiSJEl1ycRem8lM1m/qZLddmvjQlAn8bO6zm9U1jXCpUEmSpHpkYq/NLGp7mYktuwOw567NvG6/0Tz47CoAMrfxQkmSJNWUib02c/+iVbxl4t49x+eeOIlr/rCQzq50Yy9JkqQ6ZmKvzdy3aCVvnji25/jAlt3Z2NnFY4vb2WePXWoXmCRJkrbJxF6beWbFK1Nxuk0/biLn/8t93PXUi1z2myfp6OyqUXSSJEnaGpe7VI91GzvZrblpiyk3s59awTNtLwPQOnM+8MputJIkSaoPjtirx8PPr+aoCWO2KJ/7zMqe5713o5UkSVJ9MLFXj/sXreTNfewsO2VSC91j+MHmu9FKkiSpPjgVRz0efG4V048/aIvyC6YdChQj9VMmtfQcS5IkqX6Y2AsoNp96aUMno0dt+b9Ec9MI59RLkiTVOafiCIDFq9dzwN671ToMSZIk7SATewFw3zN9z6+XJEnS0GBiL6DYcfbNFTvOSpIkaWgxsRcAf3pxLa/bd49ahyFJkqQdZGIvNmzqpLlpBCNGxKs3liRJUl0ysR/mOjq7+NK/PcK8Je1c9psn6ejsqnVIkiRJ2gEudznMtc5awPX3Plc8nzkfwKUtJUmShiBH7Ie5uQvbep5nr2NJkiQNHSb2w9zRE8b2PA9gyqSWmsUiSZKkHedUnGHuqAljOPXw/di4qYspk1q4YNqhtQ5JkiRJO8DEfpj73ZMvcOmZR3Jgy+61DkWSJEk7wak4w1hm8vyqdSb1kiRJDcDEfhh7dHE7b9h/r1qHIUmSpCowsR/GZs1bzrTDx9U6DEmSJFWBif0wdu8zK5l80N61DkOSJElVYGI/TK1Yu4Gxuzczssn/BSRJkhqBWd0wdccTL3Dq4fvVOgxJkiRViYn9MHXHky9wymHOr5ckSWoUJvbDUEdnF2vWd9Cyxy61DkWSJElVUreJfUT834jIiLiwV3lLRMyIiPaIWBURP4yI0TUKc0iau3AlU7xpVpIkqaHUZWIfEe8DjgcW91E9A3gjcDrwHuBtwFWDF93Q1dHZxWW/eZLPXf8Ai1etp6Ozq9YhSZIkqUrqLrGPiAOAVmA60NGr7gjgDOC/Z+aczLwTuAA4OyL238Y5R0XEXt0PYM+Bewf1q3XWAlpnzmfxqvX8vz8uonXWglqHJEmSpCqpq8Q+IkYAPwW+lZmP9tHkBGBVZs6tKLsd6AKO28apLwFWVzyeq07EQ8vchW1k+TzLY0mSJDWGukrsgc8Dm4DvbaV+PLC8siAzNwFtZd3WfB0YU/GYsNORDkFTJrX0PI9ex5IkSRraRtbqwhExHfh+RdGfA58B3pKZ2ferdkxmbgA2VFy7mqcfMs6eMoFbHl7MuD13ZcqkFi6YdmitQ5IkSVKV1CyxB24C5lQcfxAYByyqSLybgO9ExIWZOQlYWrbpEREjgZayTttw7T3P8tUzj+TEQ/atdSiSJEmqspol9pm5BljTfRwRVwE392p2G8Wc+x+Xx7OBsRExOTPvLcumUUwpmoO2an1HJ/c/u4rPnn5YrUORJEnSAKjliP1mMnMFsKKyLCI6gKWZ+UTZ5vGIuBW4OiI+CTQDVwDXZmZfS2OqdOP9z3PmMQcM22lIkiRJja7ebp7dHtOBecBM4BbgTuATNY2ozmUmNz+0mPce/dpahyJJkqQBUjcj9n0p59X3LmsDzhn8aIauOxe8yLGT9mHUyKZahyJJkqQBMhRH7NVPM+5exPTjJ9Y6DEmSJA0gE/sG1tHZxZdvfJj7Fq3kn2Y/Q0dnV61DkiRJ0gCp66k42jmtsxbw07sXFc9nzgfgIlfFkSRJakiO2Dewu596ZZGhBOYubKtdMJIkSRpQJvYNrKkp6F7cMoApk1pqGY4kSZIGkFNxGtTGTV1Acv60Q7n3mZVMmdTCBdMOrXVYkiRJGiAm9g3qloeX8OdH7c9fHn9QrUORJEnSIHAqTgPKTG647zn+y1sm1DoUSZIkDRIT+wZ0z8KVHHnAGHbbxQ2pJEmShgsT+wZ0zeyFfPSESbUOQ5IkSYPIxL7BLFrxMqOaRjB+zK61DkWSJEmDyMS+QXR0dnHZb57krKtms8vIEe4yK0mSNMyY2DeI1lkLaJ05nyWr13PdPc/SOmtBrUOSJEnSIDKxbxBzF7aR5XN3mZUkSRp+TOwbROWusu4yK0mSNPy4QVWD+NSph3Dj/c8zYe/d3GVWkiRpGDKxHwI6OrtonbWAuQvbepL25qbNf2x5bEk7Zx6zP5975+E1ilKSJEm1ZGI/BHTfGJvA7KdWAHDR6Ydt1ua385bz9tePq0F0kiRJqgfOsR8C/vj0ile9MfaB51Zz9ISxgxmWJEmS6oiJfZ3LTNrXdRDlcV83xi5rX89+o0fRNCK2eL0kSZKGB6fi1LnLb5/PByYfyKp1Hfx23nKam2KLG2OLaTj71ShCSZIk1QMT+xrr68ZYKObV//KhxYzZrZnr/voEmptGcNHph/GRH/2RjZu6Nrt59vfzX+Qf3n9Urd6CJEmS6oCJfY31vjH2pQ2bAPjRnU+TFFNvWmct6LlZ9oOTJ3D93Gc596SDAdiwqZP1HZ2M2a25Nm9AkiRJdcE59jXWe8fYXzy0mF88tHirN8u++8jx/PqxZXR1FS3++HQbxx7sZlSSJEnDnYl9jR1z4Nie5wGcNXUiZ02duNWbZUc2jeCUw/Zj5rzlAMx8fDmnHeEyl5IkScOdU3Fq7ICxu/GOI8bx8sbOLXaM7T3vvtvZUydy0c8e4B1HjOOpF9ZyyH6jBztsSZIk1RkT+xrKTG55ZAk/Oncqo0Y2bVbXewOqSmN2b+a1Y3blvBn3MX/ZWi6/fX6fu9FKkiRp+DCxr6E7F7zIsZP22SKp3x4jRgS3PrIUgNaZ84FtfxmQJElSY3OIt4Zm3L2I6cdP3KHXLli+tuf51najlSRJ0vBhYl8jC5avYezuzew7etQOvX7KpJZt7kYrSZKk4aWupuJExE+Aj/Yqvi0zz6ho0wK0Au8FuoAbgM9k5lqGkB/ftZBzT5q0w6/vvqF2azfYSpIkaXipq8S+dCvwsYrjDb3qZwCvBU4HmoEfA1cB5wxKdFWw8qWNLGvfwOvH77XD5+jeiVaSJEmC+kzsN2Tm0r4qIuII4AxgambOLcsuAG6JiIszc/EgxrmZjs4uWmct2GwEvfcqNd1tbrz/OY45cG86OrtcyUaSJElVUY+J/akRsRxYCcwCvpSZK8q6E4BV3Ul96XaKKTnHAf/W1wkjYhRQOZl9z2oH3TprAa0z55PA7KeKcHuPqFe2ebZtHZP23cNRd0mSJFVFvQ0X3wp8BDgN+DxwCvCriOheD3I8sLzyBZm5CWgr67bmEmB1xeO56oZdzHXP7pjoe5Wa7WkjSZIk7YiaJfYRMT0i1lY8Ts7MazPzpsx8ODNvBN4DTAVO3cnLfR0YU/GYsJPn20LlKjXdx1u0OWjvnueuZCNJkqRqquVUnJuAORXHz/dukJl/iogXgUOBmcBSYFxlm4gYCbSUdX3KzA1U3IQbEVtrusMqV6l5ftU6PtbHijcnHLIPdz21glEjR7iSjSRJkqqqZol9Zq4B1myrTURMAPYBlpRFs4GxETE5M+8ty6ZR/PIwp49TDJrKVWp++dAS/v3+5zn3pIM3azNjziKuPOctjB+zay1ClCRJUgOrmzn2ETE6Ir4VEcdHxKSIOA34d2ABcBtAZj5OMQ//6og4NiJOAq4Arq3liji9veuNr+HXjy2jsyt7yp5te5ldmkaY1EuSJGlA1E1iD3QCb6KYovMk8EPgXuDkcipNt+nAPIqpObcAdwKfGNxQt21k0whOPXw/Zj6+rKfsJ3/YuQ2pJEmSpG2pm+UuM3Md8K7taNfGENiM6qypE7nougd45xvHs2Z9B396YS1vmjC21mFJkiSpQdVNYt9oxuzWzIS9d+OR51cz5+k2PjTlwFqHJEmSpAZWT1NxGs6Hjz+Ii69/kO/NfJLHlrTT0dlV65AkSZLUoByxH0A3PbSEeUuLhX+umLWAiHCnWUmSJA0IR+wHUOXOsu40K0mSpIFkYj+AKnejdadZSZIkDSSn4gygyt1o3WlWkiRJA8nEfgBV7kYrSZIkDSSn4kiSJEkNwMRekiRJagAm9pIkSVIDMLGXJEmSGoCJvSRJktQATOwlSZKkBmBiL0mSJDUAE3tJkiSpAZjYS5IkSQ3AxF6SJElqACb2kiRJUgMwsZckSZIawMhaB1BL7e3ttQ5BkiRtJ//dlrYtMrPWMQy6iDgAeK7WcUiSpB0yITOfr3UQUr0Zrol9APsDa6p86j0pvjBMGIBza3P29eCyvwePfT147OvBU82+3hNYnMMxgZFexbCcilN+GFT9m37xfQGANZnp74UDyL4eXPb34LGvB499PXiq3Nf+t5K2wptnJUmSpAZgYi9JkiQ1ABP76toA/M/yrwaWfT247O/BY18PHvt68NjX0iAYljfPSpIkSY3GEXtJkiSpAZjYS5IkSQ3AxF6SJElqACb2kiRJUgMwsa+iiPhURCyMiPURMScijq11TENdRFwSEfdExJqIWB4RN0bE4b3a7BoRV0bEiohYGxE3RMRrahVzI4iI/xERGRHfrSizn6soIg6IiH8u+3NdRDwcEVMq6iMivhoRS8r62yPiz2oZ81AUEU0RcWlEPF3241MR8eWo2DHJvt4xEfG2iLg5IhaXnxd/0av+Vfs1IloiYkZEtEfEqoj4YUSMHtQ3IjUQE/sqiYizgMsolvN6C/AgcFtEjKtpYEPfKcCVwPHA6UAz8OuI2KOizeXAe4EPlu33B/51kONsGBExFfhr4KFeVfZzlUTE3sBdQAfwbuANwOeAlRXN/hb4NPBJ4DjgJYrPlF0HN9oh7/PAecD5wBHl8d8CF1S0sa93zB4U/9Z9aiv129OvM4A3Uny+vwd4G3DVQAUsNTqXu6ySiJgD3JOZ55fHI4BngdbM/EZNg2sgEbEfsBw4JTN/FxFjgBeAczLz52Wb1wOPAydk5t21i3boKUfK7gP+BvgS8EBmXmg/V1dEfAM4KTNP3kp9AIuB72Tmt8uyMcAy4NzMvHbQgh3iIuIXwLLM/HhF2Q3Ausz8S/u6OiIigfdl5o3l8av2a0QcATwGTM3MuWWbM4BbgAmZuXjw34k0tDliXwURsQswGbi9uywzu8rjE2oVV4MaU/5tK/9OphjFr+z7ecAi7PsdcSXwy8y8vVe5/Vxd/xmYGxHXl1PM7o+Iv6qoPxgYz+b9vRqYg/3dX38ATouIwwAi4mjgrcCvynr7emBsT7+eAKzqTupLtwNdFCP8kvppZK0DaBD7Ak0UIxGVlgGvH/xwGlP5K8h3gbsy85GyeDywMTNX9Wq+rKzTdoqIsymmkU3to9p+rq7XUUwPuQz4B4o+/15EbMzMa3ilT/v6TLG/++cbwF7AvIjopPis/mJmzijr7euBsT39Op7iF9gembkpItqw76UdYmKvoeRK4EiK0TZVUUQcCPxv4PTMXF/reIaBEcDczPxCeXx/RBxJMRf5mtqF1ZA+BEwHzgEeBY4BvhsRi8svUZLUMJyKUx0vAp1A7xVCXgMsHfxwGk9EXEFxY9XbM/O5iqqlwC4RMbbXS+z7/pkMjAPui4hNEbGJ4gbZT5fPl2E/V9MSirnFlR4HJpbPu/vUz5Sd9y3gG5l5bWY+nJk/pbgR/JKy3r4eGNvTr0spPnd6RMRIoAX7XtohJvZVkJkbgXuB07rLymkjpwGzaxVXIyiXS7sCeB8wLTOf7tXkXoqVRSr7/nCKBMm+334zgaMoRjO7H3MpVqzofm4/V89dwOG9yg4DnimfP02R2FT2914U847t7/7ZnWLOdqVOXvn3z74eGNvTr7OBsRExueJ10yj+28wZpDilhuJUnOq5DLgmIuYCfwQupFgK7Me1DKoBXEnxE/qZwJqI6J53uToz12Xm6oj4IXBZOS+zHWgFZrtSy/bLzDXAI5VlEfESsKL7fgb7uaouB/4QEV8AfgYcC3yifJCZ3XsIfCki5lMkSZdSrDJyYy0CHsJuBr4YEYsopuK8GbgI+BHY1zujXEXr0IqigyPiGKAtMxe9Wr9m5uMRcStwdUR8kuIG/SuAa10RR9oxJvZVkpnXlUsxfpXipp8HgDMys/eNQ+qf88q/d/Qq/xjwk/L5ZylG5G4ARgG3USzXqOqyn6skM++JiPcBXwf+jiLpubDihk6Af6QYHLgKGAvcSfGZ4j0Q/XMBRUL5fyimfSwGvk/xWd3Nvt4xU4DfVhxfVv69BjiX7evX6RTJ/Exe+Xz59EAGLTUy17GXJEmSGoBz7CVJkqQGYGIvSZIkNQATe0mSJKkBmNhLkiRJDcDEXpIkSWoAJvaSJElSAzCxlyRJkhqAib0kSZLUAEzsJfWIiDvKbeDrSkRkRPzFAF/jKxHxQBXOszAiLtz5iCRJ6h8Te0mV3g98uftgsJPUbSTXrwV+NcCX/zZw2gBfQ5KkATOy1gFIqh+Z2TYQ542IXTJz446+PjOXVjOerVxjLbB2oK8jSdJAccReUo/KqTgRcQdwEHB5ORUmK9q9NSJ+HxHrIuLZiPheROxRUb8wIr4cEf8UEe3AVWX5NyPiyYh4OSL+FBGXRkRzWXcu8PfA0d3XK8u2mIoTEUdFxKzy+isi4qqIGF1R/5OIuDEiLo6IJWWbK7uvtZX3vtmvBdtzjogYFxE3l3E8HRHT+zjv2Ij4QUS8EBHtZdxHl3X7RcTSiPhCRfsTI2JjRPjrgSSpX0zsJW3N+4HngL+jmArzWoCIOAS4FbgBeBNwFvBW4Iper78YeBB4M3BpWbYGOBd4A/AZ4K+Az5Z11wHfAR6tuN51vYMqv0DcBqwEpgIfBN7Rx/XfDhxS/v1oed1zt/vdb985fgIcWNZ/APgbYFyvc1xflr0bmAzcB8yMiJbMfAH4b8BXImJKROwJ/BS4IjNn9jNWSdIw51QcSX3KzLaI6ATW9JoKcwkwIzO/Wx7Pj4hPA/8REedl5vqyfFZmfqfXOf9XxeHCiPg2cDbwj5m5LiLWApteZerNOcCuwEcy8yWAiDgfuDkiPp+Zy8p2K4HzM7MTmBcRv6SYQ391P7phq+eIiMMokvVjM/OeMo6PA493vzgi3gocC4zLzA1l8cXlrw8fAK7KzFsi4mpgBjAXeImijyVJ6hcTe0n9dTTwpl7TToLiF8CDeSWxndv7hRFxFvBpilHw0RSfQe39vP4RwIPdSX3prvL6hwPdif2jZULebQlwVD+vta1zHAFsAu7trszMeRGxqqL90RTvc0VEVJ53N4o+6HYx8AjFrw+TK74ESJK03UzsJfXXaOD7wPf6qFtU8bwy8SYiTqAYlf57iqk0qylG6z83MGHS0es46f/0w509x2iKLwOn9lG3quL5IcD+5bknAQ/34xqSJAEm9pK2bSPQ1KvsPuANmbmgn+c6EXgmM7/WXRARB23H9Xp7HDg3IvaoGLU/CegCnuhnTDtjHsVn6GSgeyrO4cDYijb3AeMpphct7OskEbEL8M8U9xM8AfwgIo7KzOUDFrkkqSF586ykbVkIvC0iDoiIfcuybwInRsQVEXFMRPxZRJwZEb1vXu1tPjAxIs6OiEPKefnv6+N6B5fn3TciRvVxnhnAeuCaiDgyIt4OtAI/rZhfP+Ay8wmKm4i/HxHHRcRk4AfAuopmtwOzgRsj4p0RMalc9eZrETGlbPM1YAzFFKVvAk8CPxqs9yFJahwm9pK25e8opoY8BbwAkJkPAacAhwG/B+4Hvgos3taJMvMm4HKK1WseoBjBv7RXsxsokuXfltf7r32c52XgXUALxUj5z4GZwPn9fnc772MU7/s/gH+lWNazZ6Q9MxP4T8DvgB9TJO3XUiwjuiwiTgUuBD6cme2Z2QV8GDg5Is4btHchSWoIUfy7I0mSJGkoc8RekiRJagAm9pIkSVIDMLGXJEmSGoCJvSRJktQATOwlSZKkBmBiL0mSJDUAE3tJkiSpAZjYS5IkSQ3AxF6SJElqACb2kiRJUgMwsZckSZIawP8HXb9GOnujPtMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a_obj = oa.OptimizationAnalysis(dset)\n",
    "a_obj.run()\n",
    "a_obj.display_figs_mpl()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7aaf2250",
   "metadata": {},
   "source": [
    "The analysis generates plots of each of the variables versus the number of iteration steps completed. The figures show the data converging on the optimal value.\n",
    "\n",
    "The {class}`~quantify_core.analysis.interpolation_analysis.InterpolationAnalysis2D` class can be used to generate a 2-dimensional heatmap that interpolates between a set of irregularly spaced datapoints."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8f010339",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a_obj = InterpolationAnalysis2D(dset)\n",
    "a_obj.run()\n",
    "a_obj.display_figs_mpl()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6be8ebb3",
   "metadata": {},
   "source": [
    "## Adaptive Sampling\n",
    "\n",
    "Quantify is designed to be modular and the adaptive functions support is no different. To this end, the `meas_ctrl` has first-class support for the `adaptive` package.\n",
    "Let's see what the same experiment looks like with this module. Note the fields of the `af_pars` dictionary have changed to be compatible with the different adaptive functions that we are using.\n",
    "\n",
    "As a practical example, let's revisit a Resonator Spectroscopy experiment. This time we only know our device has a resonance in 6-7 GHz range.\n",
    "We really don't want to sweep through a million points, so instead let's use an adaptive sampler to quickly locate our peak."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "075258bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qcodes.parameters.parameter.Parameter: S21 at 136836769010784>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res = Instrument(\"Resonator\")\n",
    "\n",
    "res.add_parameter(\"freq\", unit=\"Hz\", label=\"Frequency\", parameter_class=ManualParameter)\n",
    "res.add_parameter(\"amp\", unit=\"V\", label=\"Amplitude\", parameter_class=ManualParameter)\n",
    "_fwhm = 15e6  # pretend you don't know what this value is\n",
    "_res_freq = 6.78e9  # pretend you don't know what this value is\n",
    "_noise_level = 0.1\n",
    "\n",
    "\n",
    "def lorenz():\n",
    "    \"\"\"A Lorenz model function.\"\"\"\n",
    "    time.sleep(0.02)  # for display purposes, just so we can watch the graph update\n",
    "    return (\n",
    "        1\n",
    "        - (\n",
    "            res.amp()\n",
    "            * ((_fwhm / 2.0) ** 2)\n",
    "            / ((res.freq() - _res_freq) ** 2 + (_fwhm / 2.0) ** 2)\n",
    "        )\n",
    "        + _noise_level * np.random.rand(1)\n",
    "    )\n",
    "\n",
    "\n",
    "res.add_parameter(\"S21\", unit=\"V\", label=\"Transmission amp. S21\", get_cmd=lorenz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "312542e3",
   "metadata": {
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running adaptively...\n",
      "."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "."
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "."
     ]
    }
   ],
   "source": [
    "_noise_level = 0.0\n",
    "res.amp(1)\n",
    "meas_ctrl.settables([res.freq])\n",
    "af_pars = {\n",
    "    \"adaptive_function\": adaptive.learner.Learner1D,\n",
    "    \"goal\": lambda l: l.npoints > 99,\n",
    "    \"bounds\": (6.0e9, 7.0e9),\n",
    "}\n",
    "meas_ctrl.gettables(res.S21)\n",
    "dset = meas_ctrl.run_adaptive(\"adaptive sample\", af_pars)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "41581199",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2kB\n",
       "Dimensions:  (dim_0: 100)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 800B 6e+09 7e+09 6.5e+09 ... 6.77e+09 6.754e+09\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 800B 0.9999 0.9988 0.9993 ... 0.6186 0.6391 0.9237\n",
       "Attributes:\n",
       "    tuid:                             20250723-134658-004-9993ae\n",
       "    name:                             adaptive sample\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  True</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f7a968f9-f2e1-46de-8a19-068e7ea3fb25' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f7a968f9-f2e1-46de-8a19-068e7ea3fb25' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>dim_0</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-474f5223-0d23-490b-a1b5-abd0f3eeb562' class='xr-section-summary-in' type='checkbox'  checked><label for='section-474f5223-0d23-490b-a1b5-abd0f3eeb562' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>x0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6e+09 7e+09 ... 6.77e+09 6.754e+09</div><input id='attrs-9a50551f-9858-40ac-a91b-04ebde674928' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a50551f-9858-40ac-a91b-04ebde674928' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5318ee0d-a455-4921-a632-4f732d8f2b21' class='xr-var-data-in' type='checkbox'><label for='data-5318ee0d-a455-4921-a632-4f732d8f2b21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>Resonator.freq</dd><dt><span>long_name :</span></dt><dd>Resonator Frequency</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([6.00000000e+09, 7.00000000e+09, 6.50000000e+09, 6.25000000e+09,\n",
       "       6.75000000e+09, 6.62500000e+09, 6.87500000e+09, 6.68750000e+09,\n",
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       "       6.82812500e+09, 6.74218750e+09, 6.82031250e+09, 6.74609375e+09,\n",
       "       6.81640625e+09, 6.37500000e+09, 6.12500000e+09, 6.74804688e+09,\n",
       "       6.72656250e+09, 6.73828125e+09, 6.83593750e+09, 6.81445312e+09,\n",
       "       6.82421875e+09, 6.78125000e+09, 6.79687500e+09, 6.76562500e+09,\n",
       "       6.78906250e+09, 6.77343750e+09, 6.78515625e+09, 6.77734375e+09,\n",
       "       6.76953125e+09, 6.77539062e+09, 6.78320312e+09, 6.78710938e+09,\n",
       "       6.79296875e+09, 6.77148438e+09, 6.78417969e+09, 6.77636719e+09,\n",
       "       6.77441406e+09, 6.79101562e+09, 6.75781250e+09, 6.78613281e+09,\n",
       "       6.77246094e+09, 6.78222656e+09, 6.76757812e+09, 6.93750000e+09,\n",
       "       6.56250000e+09, 6.43750000e+09, 6.31250000e+09, 6.18750000e+09,\n",
       "       6.06250000e+09, 6.78808594e+09, 6.80468750e+09, 6.76171875e+09,\n",
       "       6.77050781e+09, 6.79003906e+09, 6.79492188e+09, 6.77929688e+09,\n",
       "       6.77832031e+09, 6.77587891e+09, 6.78466797e+09, 6.78369141e+09,\n",
       "       6.77490234e+09, 6.80078125e+09, 6.78564453e+09, 6.77685547e+09,\n",
       "       6.77392578e+09, 6.78271484e+09, 6.78662109e+09, 6.76855469e+09,\n",
       "       6.76367188e+09, 6.77294922e+09, 6.79199219e+09, 6.78759766e+09,\n",
       "       6.77783203e+09, 6.65625000e+09, 6.90625000e+09, 6.59375000e+09,\n",
       "       6.96875000e+09, 6.53125000e+09, 6.46875000e+09, 6.40625000e+09,\n",
       "       6.34375000e+09, 6.28125000e+09, 6.21875000e+09, 6.15625000e+09,\n",
       "       6.09375000e+09, 6.03125000e+09, 6.77197266e+09, 6.78857422e+09,\n",
       "       6.78173828e+09, 6.76660156e+09, 6.77099609e+09, 6.79394531e+09,\n",
       "       6.79882812e+09, 6.78955078e+09, 6.77001953e+09, 6.75390625e+09])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c67a0a2f-a289-41d7-bd4d-89b82ea6f145' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c67a0a2f-a289-41d7-bd4d-89b82ea6f145' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y0</span></div><div class='xr-var-dims'>(dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9999 0.9988 ... 0.6391 0.9237</div><input id='attrs-51ed5cd8-901a-4b87-9b47-02ca6ce3e782' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51ed5cd8-901a-4b87-9b47-02ca6ce3e782' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-512c1302-d8ea-4c5e-8bce-8aff020668d8' class='xr-var-data-in' type='checkbox'><label for='data-512c1302-d8ea-4c5e-8bce-8aff020668d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>S21</dd><dt><span>long_name :</span></dt><dd>Transmission amp. S21</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>batched :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([0.99990755, 0.99883916, 0.99928304, 0.99979979, 0.94117647,\n",
       "       0.99766416, 0.99380592, 0.9934688 , 0.9494382 , 0.98522774,\n",
       "       0.98634812, 0.97368902, 0.97628849, 0.9621476 , 0.96654469,\n",
       "       0.95335371, 0.95928825, 0.99965718, 0.99986891, 0.94778382,\n",
       "       0.98068216, 0.96869267, 0.9823405 , 0.95475633, 0.97203646,\n",
       "       0.02702703, 0.83505155, 0.78603269, 0.59350741, 0.43362832,\n",
       "       0.32095491, 0.11145391, 0.66082732, 0.27415925, 0.15426264,\n",
       "       0.47328113, 0.74937452, 0.56316064, 0.23697556, 0.19003362,\n",
       "       0.35679514, 0.68326632, 0.89745416, 0.40071204, 0.50259739,\n",
       "       0.08099619, 0.73284633, 0.99773756, 0.99881235, 0.99952072,\n",
       "       0.9997427 , 0.99983979, 0.99989075, 0.53754093, 0.91550535,\n",
       "       0.85593697, 0.61565168, 0.64179453, 0.79832374, 0.00871249,\n",
       "       0.04776173, 0.23190799, 0.27921516, 0.19500811, 0.31599382,\n",
       "       0.88475967, 0.36159877, 0.14950657, 0.3961102 , 0.11584931,\n",
       "       0.43799952, 0.69959173, 0.82577462, 0.46915691, 0.71883795,\n",
       "       0.50646803, 0.07711373, 0.99634035, 0.99648334, 0.99838108,\n",
       "       0.99842361, 0.99909176, 0.9994197 , 0.99959748, 0.99970452,\n",
       "       0.99977392, 0.99982146, 0.99985544, 0.99988057, 0.99989968,\n",
       "       0.53392314, 0.56653154, 0.05097923, 0.76141813, 0.59037383,\n",
       "       0.7756477 , 0.86305482, 0.61855982, 0.63909863, 0.92369092])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ba3e5cd-eba3-4e51-ae61-9a707786c9b1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7ba3e5cd-eba3-4e51-ae61-9a707786c9b1' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f05eb00d-c642-4a5d-8f50-a7031ff956ab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f05eb00d-c642-4a5d-8f50-a7031ff956ab' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>tuid :</span></dt><dd>20250723-134658-004-9993ae</dd><dt><span>name :</span></dt><dd>adaptive sample</dd><dt><span>grid_2d :</span></dt><dd>False</dd><dt><span>grid_2d_uniformly_spaced :</span></dt><dd>False</dd><dt><span>1d_2_settables_uniformly_spaced :</span></dt><dd>True</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2kB\n",
       "Dimensions:  (dim_0: 100)\n",
       "Coordinates:\n",
       "    x0       (dim_0) float64 800B 6e+09 7e+09 6.5e+09 ... 6.77e+09 6.754e+09\n",
       "Dimensions without coordinates: dim_0\n",
       "Data variables:\n",
       "    y0       (dim_0) float64 800B 0.9999 0.9988 0.9993 ... 0.6186 0.6391 0.9237\n",
       "Attributes:\n",
       "    tuid:                             20250723-134658-004-9993ae\n",
       "    name:                             adaptive sample\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  True"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8f2e3381",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<quantify_core.visualization.pyqt_plotmon.QtPlotObjForJupyter at 0x7c73cbf47cd0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plotmon.main_QtPlot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0795fee",
   "metadata": {},
   "source": [
    "## FAQ\n",
    "\n",
    "### Can I return multi-dimensional data from a Gettable in Adaptive Mode?\n",
    "\n",
    "Yes, but only the first dimension (`y0`) will be considered by the adaptive function;\n",
    "the remaining dimensions will merely be saved to the dataset."
   ]
  }
 ],
 "metadata": {
  "file_format": "mystnb",
  "jupytext": {
   "text_representation": {
    "extension": ".md",
    "format_name": "myst"
   }
  },
  "kernelspec": {
   "display_name": "python3",
   "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": "3.9.23"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}