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    "# Tutorial 3: Making Resonator Networks\n",
    "\n",
    "The first two tutorials modelled a **single** resonator, but real chip designs rarely stop\n",
    "there. Most involve several resonators coupled in a chain. For more complicated designs such as this, the process shown in Tutorial 1 can be \n",
    "repeated for multiple resonators in a network. This tutorial shows how to\n",
    "\n",
    "1. **build** a network of many capacitors and multiple CPW resonators and look\n",
    "   at its response,\n",
    "2. **draw** that network with the schematics feature so you can see what you\n",
    "   built, and\n",
    "3. Fit a lumped oscillator model (LOM) to each resonator in the\n",
    "   chain, reassemble the pieces, and check the lumped network against the CPW\n",
    "   ground truth.\n",
    "\n",
    "The device design we will use to test this is a chain of **three capacitively-coupled CPW resonators** with\n",
    "*staggered lengths*, so each rings at its own frequency:\n",
    "\n",
    "```\n",
    "[P1] -- Cc1 -- Ctog -- CPW_1 -- Ctog -- Cc2 -- Ctog -- CPW_2 -- Ctog -- Cc3 -- Ctog -- CPW_3 -- Ctog -- Cc4 -- [P2]\n",
    "```\n",
    "\n",
    "A natural\n",
    "\"subgroup\" of this larger design is one resonator with the two couplers and two ground caps that flank\n",
    "it: `Cc -- Ctog -- CPW -- Ctog -- Cc`. That subgroup is exactly the topology\n",
    "`fit_lom` already knows how to fit.\n",
    "\n",
    "\n",
    "More complicated designs which include hanger resonators will be covered in Tutorials 8 and 9."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "03351330",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T15:23:03.052577Z",
     "iopub.status.busy": "2026-07-19T15:23:03.052264Z",
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     "shell.execute_reply": "2026-07-19T15:23:04.176197Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 CPW resonators, lengths (mm): [8.0, 7.0, 6.0]\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import skrf as rf\n",
    "\n",
    "from simpleLOMs import CPWParams, fit_lom\n",
    "from simpleLOMs.networks.cpw import cpw_resonator_network_2port\n",
    "from simpleLOMs.networks.chain import resonator_chain_network_2port\n",
    "from simpleLOMs.schematics import resonator_chain_schematic_2port\n",
    "from simpleLOMs.analysis import circle_fit_f0_kappa, resonances_from_s_max\n",
    "\n",
    "from simpleLOMs import (\n",
    "    plot_transmission, plot_all_models, plot_re_im,\n",
    "    apply_style, axis_label,\n",
    "    COLOR_PRIMARY, COLOR_SECONDARY, COLOR_HIGHLIGHT,\n",
    "    FIGURE_WIDTH_1COL, FIGURE_WIDTH_2COL,\n",
    "    FIGURE_HEIGHT_1COL_GR, FIGURE_HEIGHT_2COL_GR,\n",
    ")\n",
    "\n",
    "\n",
    "apply_style()\n",
    "\n",
    "cpw = CPWParams(ep_r=11.45)                        # ultracold-silicon substrate\n",
    "freq = rf.Frequency(4e9, 12e9, 8_001, unit=\"Hz\")  \n",
    "Z0 = 50.0\n",
    "\n",
    "# Three staggered CPW resonators \n",
    "lengths = [8.0e-3, 7.0e-3, 6.0e-3]                 # metres\n",
    "\n",
    "# Four coupling capacitors \n",
    "Ccs = [8e-15, 6e-15, 6e-15, 8e-15]\n",
    "\n",
    "Ctog = 1e-14\n",
    "Ctogs = [Ctog] * (2 * len(lengths))\n",
    "\n",
    "segments_cpw = [{\"kind\": \"cpw\", \"d\": d} for d in lengths]\n",
    "print(f\"{len(lengths)} CPW resonators, lengths (mm): {[d*1e3 for d in lengths]}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30857b44",
   "metadata": {},
   "source": [
    "## 1. Build the CPW network and look at it\n",
    "\n",
    "Run `resonator_chain_network_2port` to wire the ladder together. Each entry\n",
    "in `segments` is a resonator. Here every one is a CPW line (`{\"kind\": \"cpw\",\n",
    "\"d\": ...}`), but in section 3 we will swap some for lumped `LC` tanks. `Ccs` holds\n",
    "the coupling capacitors (one more than the number of resonators) and `Ctogs`\n",
    "holds the ground capacitors (two per resonator)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2f1a2e90",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T15:23:04.182071Z",
     "iopub.status.busy": "2026-07-19T15:23:04.181691Z",
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     "shell.execute_reply": "2026-07-19T15:23:04.520893Z"
    }
   },
   "outputs": [],
   "source": [
    "chain_cpw = resonator_chain_network_2port(\n",
    "    freq, segments_cpw, Ccs, Ctogs, cpw_params=cpw, Z0=Z0,\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71af9307",
   "metadata": {},
   "source": [
    "\n",
    "We then look at the network's transmission $|S_{21}|$ and\n",
    " reflection $|S_{11}|$. "
   ]
  },
  {
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   "execution_count": 4,
   "id": "2f44a11e",
   "metadata": {
    "execution": {
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     "iopub.status.idle": "2026-07-19T15:23:04.961880Z",
     "shell.execute_reply": "2026-07-19T15:23:04.961266Z"
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   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2117.1x1308.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 2117.1x1308.44 with 1 Axes>,\n",
       " <Axes: title={'center': '$|S_{21}|$'}, xlabel='Frequency, $f$ (GHz)', ylabel='$|S_{21}|$ (dB)'>)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_transmission(\n",
    "    {\"CPW chain\": chain_cpw},\n",
    "    m=1, n=0,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3946fce",
   "metadata": {},
   "source": [
    "The three modes can be read off from the S21 transmission peaks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5ea294bd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T15:23:04.965616Z",
     "iopub.status.busy": "2026-07-19T15:23:04.965381Z",
     "iopub.status.idle": "2026-07-19T15:23:04.970441Z",
     "shell.execute_reply": "2026-07-19T15:23:04.969718Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Chain modes (GHz): [7.335 8.37  9.709]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "mode_freqs = resonances_from_s_max(chain_cpw, m=1, n=0)\n",
    "mode_freqs = np.sort(mode_freqs)\n",
    "print(\"Chain modes (GHz):\", np.round(mode_freqs / 1e9, 4))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a131c60",
   "metadata": {},
   "source": [
    "We have now constructed a full two-port network with the three distributed elements, which produce\n",
    "three separate but coupled modes.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56ef57bf",
   "metadata": {},
   "source": [
    "## 2. Draw the network with the schematics feature\n",
    "\n",
    "To view the circuit you have just simulated, the `schematics` feature, using `resonator_chain_schematic_2port`, takes the same  \n",
    "arguments as the network and returns a zoomable circuit diagram with every capacitance and line length labelled."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ef11541b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T15:23:04.973516Z",
     "iopub.status.busy": "2026-07-19T15:23:04.973267Z",
     "iopub.status.idle": "2026-07-19T15:23:04.978880Z",
     "shell.execute_reply": "2026-07-19T15:23:04.978264Z"
    }
   },
   "outputs": [],
   "source": [
    "schematic_cpw = resonator_chain_schematic_2port(\n",
    "    segments_cpw, Ccs, Ctogs,\n",
    "    cpw_params=cpw, freq=freq, Z0=Z0,\n",
    "    annotations={\"resonators\": len(lengths), \"modes_GHz\": list(np.round(mode_freqs / 1e9, 3))},\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae09e702",
   "metadata": {},
   "source": [
    "You can choose to save portable copies next to the notebook, and render them inline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "af396a9a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T15:23:04.981698Z",
     "iopub.status.busy": "2026-07-19T15:23:04.981425Z",
     "iopub.status.idle": "2026-07-19T15:23:04.988028Z",
     "shell.execute_reply": "2026-07-19T15:23:04.987446Z"
    }
   },
   "outputs": [
    {
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       "Schematic(meta={'title': '', 'description': '', 'source': 'simpleLOMs.networks.chain.resonator_chain_network_2port', 'units': {'capacitance': 'F', 'inductance': 'H', 'length': 'm', 'impedance': 'ohm', 'frequency': 'Hz'}}, groups=[{'id': 'res1', 'label': 'resonator 1'}, {'id': 'res2', 'label': 'resonator 2'}, {'id': 'res3', 'label': 'resonator 3'}], components=[Component(id='P1', type='port', label='Port 1', value='50.00 \\\\Omega', ports=['out'], group=None, orient='series', props={'Z0': 50.0}), Component(id='Cc1', type='cap', label='C_{c1}', value='8.00 fF', ports=['a', 'b'], group=None, orient='series', props={'C': 8e-15}), Component(id='Ctog1', type='cap', label='C_{tog1}', value='10.00 fF', ports=['a', 'gnd'], group='res1', orient='shunt', props={'C': 1e-14}), Component(id='TL1', type='tline', label='CPW 1', value='\\\\ell = 8.00 mm', ports=['in', 'out'], group='res1', orient='series', props={'length': 0.008, 'Z0': 46.426279489739365}), Component(id='Ctog2', type='cap', label='C_{tog2}', value='10.00 fF', ports=['a', 'gnd'], group='res1', orient='shunt', props={'C': 1e-14}), Component(id='Cc2', type='cap', label='C_{c2}', value='6.00 fF', ports=['a', 'b'], group=None, orient='series', props={'C': 6e-15}), Component(id='Ctog3', type='cap', label='C_{tog3}', value='10.00 fF', ports=['a', 'gnd'], group='res2', orient='shunt', props={'C': 1e-14}), Component(id='TL2', type='tline', label='CPW 2', value='\\\\ell = 7.00 mm', ports=['in', 'out'], group='res2', orient='series', props={'length': 0.007, 'Z0': 46.426279489739365}), Component(id='Ctog4', type='cap', label='C_{tog4}', value='10.00 fF', ports=['a', 'gnd'], group='res2', orient='shunt', props={'C': 1e-14}), Component(id='Cc3', type='cap', label='C_{c3}', value='6.00 fF', ports=['a', 'b'], group=None, orient='series', props={'C': 6e-15}), Component(id='Ctog5', type='cap', label='C_{tog5}', value='10.00 fF', ports=['a', 'gnd'], group='res3', orient='shunt', props={'C': 1e-14}), Component(id='TL3', type='tline', label='CPW 3', value='\\\\ell = 6.00 mm', ports=['in', 'out'], group='res3', orient='series', props={'length': 0.006, 'Z0': 46.426279489739365}), Component(id='Ctog6', type='cap', label='C_{tog6}', value='10.00 fF', ports=['a', 'gnd'], group='res3', orient='shunt', props={'C': 1e-14}), Component(id='Cc4', type='cap', label='C_{c4}', value='8.00 fF', ports=['a', 'b'], group=None, orient='series', props={'C': 8e-15}), Component(id='P2', type='port', label='Port 2', value='50.00 \\\\Omega', ports=['in'], group=None, orient='series', props={'Z0': 50.0})], nets=[Net(id='n1', ports=['P1.out', 'Cc1.a']), Net(id='n2', ports=['Cc1.b', 'Ctog1.a']), Net(id='n3', ports=['Ctog1.gnd', 'GND']), Net(id='n4', ports=['Cc1.b', 'TL1.in']), Net(id='n5', ports=['TL1.out', 'Ctog2.a']), Net(id='n6', ports=['Ctog2.gnd', 'GND']), Net(id='n7', ports=['TL1.out', 'Cc2.a']), Net(id='n8', ports=['Cc2.b', 'Ctog3.a']), Net(id='n9', ports=['Ctog3.gnd', 'GND']), Net(id='n10', ports=['Cc2.b', 'TL2.in']), Net(id='n11', ports=['TL2.out', 'Ctog4.a']), Net(id='n12', ports=['Ctog4.gnd', 'GND']), Net(id='n13', ports=['TL2.out', 'Cc3.a']), Net(id='n14', ports=['Cc3.b', 'Ctog5.a']), Net(id='n15', ports=['Ctog5.gnd', 'GND']), Net(id='n16', ports=['Cc3.b', 'TL3.in']), Net(id='n17', ports=['TL3.out', 'Ctog6.a']), Net(id='n18', ports=['Ctog6.gnd', 'GND']), Net(id='n19', ports=['TL3.out', 'Cc4.a']), Net(id='n20', ports=['Cc4.b', 'P2.in'])], annotations={'resonators': 3, 'modes_GHz': [np.float64(7.335), np.float64(8.37), np.float64(9.709)]})"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "from pathlib import Path\n",
    "figdir = Path(\"figures\")\n",
    "figdir.mkdir(exist_ok=True)\n",
    "schematic_cpw.save_svg(figdir / \"chain_cpw.svg\")\n",
    "schematic_cpw.save_html(figdir / \"chain_cpw.html\")\n",
    "schematic_cpw\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3408807",
   "metadata": {},
   "source": [
    "## 3. Fit a LOM to each resonator individually\n",
    "\n",
    "\n",
    "In order to use `fit_lom` to fit LC models, we can break the larger network into `Cc -- Ctog -- CPW -- Ctog -- Cc` subgroups. \n",
    "Then , we fit each subgroup in\n",
    "isolation with the **Optimized** model.\n",
    "\n",
    "The circuit parameters we will use are:\n",
    "* the two coupling capacitors of subgroup $i$ which are the shared couplers\n",
    "  $C_{c,i}$ and $C_{c,i+1}$,\n",
    "* the two ground capacitors, which are the ones flanking that resonator.\n",
    "\n",
    "`fit_lom` builds its own isolated CPW reference for each subgroup and returns the\n",
    "effective $(L, C)$. \n",
    "\n",
    "Note that fitting a piece in isolation ignores that its neighbours are\n",
    "*other resonators* rather than $50\\,\\Omega$ ports. In future versions, this will be generalized so that more accurate $Z_0$ values \n",
    "can be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b684f8fa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T15:23:04.990666Z",
     "iopub.status.busy": "2026-07-19T15:23:04.990439Z",
     "iopub.status.idle": "2026-07-19T15:23:52.941610Z",
     "shell.execute_reply": "2026-07-19T15:23:52.940418Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  resonator 1: d=8.0 mm  f0~7.336 GHz  L=0.640 nH  C=721.10 fF\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  resonator 2: d=7.0 mm  f0~8.370 GHz  L=0.560 nH  C=633.29 fF\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  resonator 3: d=6.0 mm  f0~9.707 GHz  L=0.484 nH  C=541.99 fF\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>resonator</th>\n",
       "      <th>length_mm</th>\n",
       "      <th>f0_sub_GHz</th>\n",
       "      <th>L_nH</th>\n",
       "      <th>C_fF</th>\n",
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       "      <td>8.0</td>\n",
       "      <td>7.336277</td>\n",
       "      <td>0.640245</td>\n",
       "      <td>721.097308</td>\n",
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       "      <td>7.0</td>\n",
       "      <td>8.369674</td>\n",
       "      <td>0.560362</td>\n",
       "      <td>633.292138</td>\n",
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       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>6.0</td>\n",
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      ],
      "text/plain": [
       "   resonator  length_mm  f0_sub_GHz      L_nH        C_fF\n",
       "0          1        8.0    7.336277  0.640245  721.097308\n",
       "1          2        7.0    8.369674  0.560362  633.292138\n",
       "2          3        6.0    9.706938  0.483517  541.994094"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "segments_lc = []\n",
    "rows = []\n",
    "for i, d in enumerate(lengths):\n",
    "    Cc_left, Cc_right = Ccs[i], Ccs[i + 1]\n",
    "    Ctog_left, Ctog_right = Ctogs[2 * i], Ctogs[2 * i + 1]\n",
    "\n",
    "    # Locate this subgroup's resonance on its own isolated CPW reference\n",
    "    sub_cpw = cpw_resonator_network_2port(\n",
    "        freq, d, Cc_left, Cc_right, Ctog_left, Ctog_right, cpw_params=cpw, Z0=Z0,\n",
    "    )\n",
    "    f0_sub, _ = circle_fit_f0_kappa(sub_cpw, 0, 0)\n",
    "    fit_freq = rf.Frequency(f0_sub - 0.4e9, f0_sub + 0.4e9, 20_001, unit=\"Hz\")\n",
    "\n",
    "    m = fit_lom(\n",
    "        d, model=\"optimized\",\n",
    "        Cc1=Cc_left, Cc2=Cc_right, Ctog1=Ctog_left, Ctog2=Ctog_right,\n",
    "        cpw_params=cpw, freq=fit_freq, return_model=True,\n",
    "    )\n",
    "    segments_lc.append({\"kind\": \"lc\", \"L\": m.L, \"C\": m.C})\n",
    "    rows.append({\n",
    "        \"resonator\": i + 1,\n",
    "        \"length_mm\": d * 1e3,\n",
    "        \"f0_sub_GHz\": f0_sub / 1e9,\n",
    "        \"L_nH\": m.L * 1e9,\n",
    "        \"C_fF\": m.C * 1e15,\n",
    "    })\n",
    "    print(f\"  resonator {i+1}: d={d*1e3:.1f} mm  f0~{f0_sub/1e9:.3f} GHz  \"\n",
    "          f\"L={m.L*1e9:.3f} nH  C={m.C*1e15:.2f} fF\")\n",
    "\n",
    "fits = pd.DataFrame(rows)\n",
    "fits\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc6dc513",
   "metadata": {},
   "source": [
    "### 3a. Build the  `LC` chain"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3311287",
   "metadata": {},
   "source": [
    "With the three $(L, C)$ pairs extracted, we can now rebuild the chain with the **same**\n",
    "coupling capacitors but each CPW line replaced by its fitted `LC` tank. \n",
    "\n",
    "> Note that because\n",
    "> the Optimized model folds the ground capacitance into its *effective* $(L, C)$\n",
    "> (the topology rule from Tutorial 2), the lumped chain no longer carries `Ctog`\n",
    "> caps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "999fa317",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T15:23:52.948241Z",
     "iopub.status.busy": "2026-07-19T15:23:52.947957Z",
     "iopub.status.idle": "2026-07-19T15:23:53.481219Z",
     "shell.execute_reply": "2026-07-19T15:23:53.480305Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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435OF3oDBN1/4TbrrdnZ5BwR5bxe6Peg+wr2/gr54wR8Q5BgFe0/kRXnsdnmk5/Oi8PaC7TfIax/lfoNuP8TzjeZ7svA+QrQ5hu/h4M8tr5jHNOitMex3150Vfl8H3+//Pm8L316++q7fU7mAwBpBzZs3z11u3rx52HV1vwLrHTt2mJ9//tnss88+xs/ynnzU1Fu9It3NAJDjdvz3srXI7b+WzDfrK1Yz6/doYPKP6mTyq1Qx5R8YbipvXmf+zR8C4DeBGG8HMlm9eXNNxaq5941EYI2gfvvtN3c5VBq4o379+u7ysmXLEhJYL1y4MObH1KxZ09SqVSvufQNAJiu9c4epvvZPezHzZ6a7OQAAgMAa4cZYOypWrBh23QoVKrjLGzZsSMj+u3btGvNjNJe2pv4CAAAAgFTKveR3RGXLli2FxlGHU6ZMGXd58+bNSW0XAAAAAGQaAmsEVbZsWXfZKWIWytat/xsBWK5cuaS2CwAAAEDmygtdSjGrkQqOoCpVqhR1evfGjRujThuP1vjx403Tpk1jHmOdCJtq7mH+CFZZMVQJkRA3h14/+O2xbj/UHXkhth9K6PVDbZ/22NuNP45DyPdVuvYb4/qxbqcEpX6sFbvvafICBSavoODf/+1hCdjPH3tMA/89toHCy/Z9bd8DAftecN4P//7/v+tFeW93qoL/u+y5PchjC9/mXdezjvc1DXp7LI9z6oSH33Ys76PtJfILb4v3OADkJAJrBOUtWKZCZm3btg25rgqWBStkFg8F1S1btjTp8H+T3krLfgGkXkFBQdDbAwXBg5dAiMAyEGo7oU5UhNi+2rNj+w6zfctWs33bdrNjs/7fZnZs1WW72bp+vVmz8FdTa+hNwbdrjFleu5E5+tvPQt6PyLyvm7NY4H0tAwGTn1/S5Pp7/N/zNUHWDwS/PeCczNlln8H3HfI0n3tOpej67oaCb8T7ugbdYJE2RLN+iAaHWj/Y8i7P07m96B3u+sGOedBb/z2fFvT24HcEAkFe5yCvZyDosQjyPAPRtSfY+zHY+yX4fos2NsjBC7Vf56RjhH1E/boF/XMI8Z6P5rkFef/uur1QTy7ITbaNof7Owu83+JMIfneZCrmZwUpgjaC8lb3nz58fdl3n/vz8fNOsWbOktw0AEiXkPJsZPlBq2sP3m+rr/gp6344y/xvKg+Lxzt/qLJbwaWqjX9/jAOA3fKwiqHbt2rlFy6ZMmRJyPY2//uqrr9zHlCpVKmVtBIBctalK9ZD3BUqFLzgJAAASj8AaIcdYH3300Xb5k08+KTSvtdcbb7xh1q1bZ5e7deuW0jYCQK7aUfF/dTCKyuMEJwAAKUdgnaPGjRtnU910CTX383/+8x/7/44dO8yll15qdu7cWej+v/76y1x33XV2uWrVqub8889PQcsBAIGyYcavRZgiEQAAJB5jrH1o6tSpZuHChYUCXIduV9Ds1adPn2Ltp1OnTqZnz57mpZdeMm+//bY55phjzJVXXmnq1Kljvv/+e3PnnXeapUuX2nWHDRtmqlWrVuznBACIXiDcOGp6rAEASDkCax8aPXq0efrpp4PeN23aNHtJRGAtTz31lE31fv/9982kSZPspWhRlFtuucVceOGFxd4HACBGZUMH1oF8AmsAAFKNVHCEVa5cOfPee++Z559/3vZY16pVyxY107RaZ555pu09D5VKDgBIEgJrAAAyCj3WPqRU76Lp3rFSL3YsPdkKonUBAGSAEqHnUC4gFRwAgJSjxxoAAJ/JKxk6sGa6LQAAUo/AGgAAvwkXWOeTjAYAQKoRWAMA4DN5+SWLFXQDAIDkILAGAMBn8sKMsc7Ly0tpWwAAAIE1AAD+E6bHmrAaAIDUI7AGACCLipfRYQ0AQOoRWAMA4DN54QqU5fHVDgBAqvHtCwCAz9BjDQBAZiGwBgAgi6qCE1cDAJB6BNYAAGRRj3UJuqwBAEg5AmsAALJpHmviagAAUo7AGgAAn8krGbp4GfNYAwCQegTWAAD4TLjgmbgaAIDUI7AGAMBvwgTPxNUAAKQegTUAAH4Trse6BF/tAACkGt++AAD4DMEzAACZhW9mAACyaYx1SlsCAACEwBoAAL/J4+sbAIBMwjczAAB+E65bmrLgAACkHIE1AAA+k1eC4BkAgExCYA0AgO8QWAMAkEkIrAEA8BmqggMAkFn4ZgYAwG/CjaNmjDUAAClHYA0AgM/QYw0AQGbhmxkAAJ+hUxoAgMxCYA0AgN8QWQMAkFEIrAEA8Jm8sGOsU9kSAAAgBNYAAPgNPdYAAGQUAmsAALKpxxoAAKQcgTUAAH5DYA0AQEYhsAYAwG/CTrdF0A0AQKoRWAMA4DMlSoQOnkkTBwAg9QisAQDwG4JnAAAyCoE1AABZJJDuBgAAkIMIrAEAAAAAiAOBNQAAfpPH1zcAAJmEb2YAAAAAAOJAYA0AQDahsBkAAClHYA0AgM8QOwMAkFkIrAEAAAAAiAOBNQAAAAAAcSCwBgDAZ/LC5IKHuw8AACQHgTUAAAAAAHEgsAYAwG/olQYAIKMQWAMA4DsE1gAAZBICawAAskiA3mwAAFKOwBoAAJ/JKxGmeFlKWwIAAITAGgAAAACAOBBYAwAAAAAQBwJrAAB8Jmy6N2OsAQBIOQJrAAAAAADiQGANAEA2CQTS3QIAAHIOgTUAAH4Tpio4AABIPQJrAACyCWOsAQBIOQJrAACySIBUcAAAUo7AGgAAv8nj6xsAgEzCNzMAAFmERHAAAFKPwBoAgCwKn0kEBwAg9QisAQDwGeqTAQCQWQisAQDIJhQvAwAg5QisAQDwGXqsAQDILATWAABkE6JuAABSjsAaAIBsQio4AAApR2ANAIDP5DGPNQAAGYVvZgAAAAAA4kBgDQAAAABAHAisAQDwmxIUKAMAIJMQWAMAAAAAEAcCawAA/IYptQAAyCgE1gAAAAAAxIHAGgCAbMI81gAApByBNQAAfkMmOAAAGYXAGgCAbIqrGX8NAEDKEVgDAJBNSAUHACDlCKwBAPCZvDy+vgEAyCR8MwMAAAAAEAcCawAAAAAA4kBgDQCAz+SVoEAZAACZhMAaAAAAAIA4EFgDAJBFqAkOAEDqEVgDAOA3zFUNAEBGIbAGACCL5DGPNQAAKUdgDQCA74TusSasBgAg9QisAQDwGTLBAQDILATWAAAAAADEgcAaAAC/ocsaAICMQmANAAAAAEAcCKwBAMgmVC8DACDlCKwBAPCZvBKkggMAkEkIrH3s119/Nddcc41p3ry5qVChgtltt91Mu3btzD333GM2bdoU17bHjRtn8vLyorpoXQAAAADIVfnpbgCK55133jFnn322WbdunXubgukZM2bYy+jRo817771nmjZtmtZ2AgBSjVxwAABSjcDah2bNmmXOOOMMs3nzZlOxYkVzww03mKOOOspef+mll8yTTz5pFixYYE488UQbZFeqVCmu/U2YMMHUqVMn5P316tWLa/sAgNjkGVLBAQDIJATWPjRgwAAbROfn55uPPvrItG/f3r2vU6dOplmzZmbgwIE2uL733nvNkCFD4trfXnvtZfbcc88EtBwAAAAAsg9jrH3m66+/Np9//rld7tevX6Gg2qFx1y1atLDLDzzwgNm+fXvK2wkASCLmsQYAIKMQWPvM+PHj3eXzzjsv6DolSpQw5557rl1es2aNmTRpUsraBwBIPuJqAAAyC4G1z0ydOtX+ryrgbdq0Cblehw4d3OVp06alpG0AgAwQoHgZAACpxhhrn/nxxx/t/6r2rTHWoWgKrqKPKS71jP/000/mr7/+MpUrV7b77ty5s7nkkktM3bp1TTIsXLgw5sfUrFnT1KpVKyntAQDfdFnTnQ0AQMoRWPvIli1bbHAbTSXuatWq2V7tjRs3mmXLlsW138mTJ7vLf//9t71Mnz7dFkYbOXKkueiii0yide3aNebHDB48OO5CbQAAAAAQKwJrH1m/fr27rGm2InEC6w0bNhRrf40bNzannnqqLZBWv359e9uiRYvM66+/bl577TUb6F988cUmLy/PXHjhhcXaBwAAAAD4HYG1jyiQdZQuXTri+mXKlLH/a2quWHXr1s307t3bBs1e7dq1s3Nov/vuuzboVsXxq666ypx88smmdu3aMe8HAJBYAea4BgAg5QisfaRs2bLu8rZt2yKuv3XrVvt/uXLlYt5XlSpVwt5/0kknmUGDBplbbrnFbNq0yYwZM8bcdNNNJpHVzzWWO9Yx1gAAAACQagTWPlKpUiV3OZr0bqWBR5s2XhxK/1ZwHQgEzJQpUxIaWCuobtmyZcK2BwC5gv5qAABSj+m2fNZjXb16dbv822+/hV33n3/+cQNrZ3x0oqkCt9Oe5cuXJ2UfAAAAAJDpCKx9Zp999nGno9qxY0fI9ebPn+8ut2jRImntKToGGwCQZnwuAwCQcgTWPnP44Yfb/9UbPXPmzJDrKTXbcdhhhyWlLX/++ac7/VedOnWSsg8AAAAAyHQE1j7jnd957NixQdcpKCgwzzzzjF2uWrWqOeqoo5LSlieeeMKOr5YOHTokZR8AAAAAkOkIrH3moIMOMkcccYRdViXuL7/8cpd17r33XvPjjz/a5QEDBphSpUoVun/y5Mk2hVuXPn367PL4JUuWmFmzZoVth6bbuu2229yq4+edd15czwsAkCBkggMAkHJUBfehBx54wKZ3a37qY4891tx44422V1rXX3rpJduTLHvttZe55pprYt6+Amttr3379qZLly5m//33t4XKZNGiRea1116zF6e3esSIEaZu3boJfpYAgGL596MZAACkEIG1Dx144IHm5ZdfNmeffbZZt26dDayLUlD93nvvFZqiK1bqDQ/WI+4oX768uf/+++20WwCAFKJAGQAAGYXA2qfUkzxnzhzbe60AWtNvlS5d2s7/3L17d3PZZZfZwLc42rRpY5577jkbVM+YMcOsWLHCFilTFfJq1arZ+aWPPvpoc/7557s92QAAAACQqwisfaxhw4bmvvvus5dYdOzY0U3jDka93GeddZa9AAAAAADCo3gZAADZhCxxAABSjsAaAAAAAIA4EFgDAAAAAJArY6w1LlhFtDZu3GivV6hQwdSoUcPOxwwAgN/pe66goCBsHQy7nv4JMetDXulSttgkAACZKi8vz5QoUSKr4riMDqxnzpxpPv74Y/P111+b2bNn28rXRX8s5Ofnm3r16tm5lg866CBzzDHH2KrWAAD4wdatW83atWvNmjVrzJYtW6J6zI5yecaMeiDofRXLlzfz5s1LcCsBAEi8smXLmqpVq5oqVaqYMmXKGD/LuMBaPwbGjh1rXnjhBbNy5cpC9wU7g799+3azZMkSe3nrrbfMTTfdZGrXrm3OPPNM06dPHzs1FAAAmUY900uXLjXr1q1Ld1MAAEiLLVu22JhPl8qVK5sGDRrYnmw/yphWT5w40Rx33HFm3333tdNH6eAqkPZeQim6nh6rbey33352m9o2AACZFFT/+uuvxQ6qS5YuZUrWrBH0UrpihYS3FwCAZFu3bp39btR3pB+lvcf622+/Nddee62ZPHmyve4E0Mq3b9WqlTniiCPMAQccYFq0aGHq1q1rx1SXL1/errd582bz559/muXLl5sff/zRpot//vnnZu7cue52PvnkE3vR3M333HOPad26dVqfLwAA6qlev359upsBAEBGWb9+vf2O3HPPPY3fpDWwvuiii8xTTz3lFmpRMH300UebHj16mK5du5qaNWuGfXylSpXspXHjxjYAdyjYHj9+vHn11VfNp59+aretwP3ggw82/fr1M4899lgKnh0AAMHHVBftqVbam3eMWaQ0uB1bt5nAmjVB7ysoX96UqVQxoW0GACCRCgoKCtUY8fZS6ztS9/ltzHVeIFLp0SRyfjgon/7iiy+2gXajRo0Sug+NvX700UfN448/bl8kBe87d+5M6D4QP2UZKEPB8cMPPzA+HkBWWrVqVaEaIvou1HefZrqIlg2s//kndGBdOXjFcAAAMs3GjRvN4sWLCwXXqplVq1YtX8UUaR1jrd7mW2+91Xb333333QkPqkVpBMOGDbP7GDJkiKlYkbP4AID00Zl5L/VUxxJUAwCQTSpUqGC/C73Uk+03aU0F/+WXX+yY6VRQr/igQYNM//79U7I/AACKUpJY0Sm1lP4NAEAuq1Klilm9erV7XbW0nKHCfpHWHutUBdXp3icAABKs0qnfxpABAJBoZYJ8F/qtOnjGTLcFAEC2C1bWxK/zdQIAkCglgnwXprEUWLHwbQ4AAAAAQBwIrAEAAAAAiAOBNQAAAAAAcci5wHrAgAGmX79+6W4GAAAAACBL5Fxg/cILL5hx48aluxkAAAAAgCyRc4E1AAAAAACJRGANAIDf5KW7AQAAwCvf+FDjxo2L/dh//vknoW0BAAC5bd26deaDDz4wH3/8sZkxY4b5888/zV9//WVKly5tqlWrZvbaay/Trl07c/LJJ5v27dsH3caQIUPMrbfeGnIfZcuWtdtq3ry5Ofzww815551nGjVqtMt6Tz75pLnwwgvt8m677WbbkZcX/kzMH3/8YWrXru1e1z5+/PHHiM979uzZ5oADDnCv6zF6LADkIl8G1kuWLLFfEsWdNDzSFwwAAEAkmzZtMiNHjjQjRowIeuJ+27ZtZsOGDWbZsmXm008/NXfffbcNshVE9+zZM6bfI1u2bDErVqywl0mTJpk777zTXHXVVeauu+6yAbzjyCOPdJdXr15t5s6da1q1ahV225999lmh6/Pnz7cnB2rWrBn143bffXeCagA5zZeBdYUKFdwvs7p168b02L59+9ovOQAAgOJaunSp6dKli5kzZ06h2xs0aGD2228/G5Tu3LnTrFy50vbsqldYFixYYM4880wbbA8cODDotuvUqWO6detW6LaNGzfaHuGvv/7adiwUFBSYe++91wbazz33nBuk77333jbIdfan4DfWwNq57bTTTov6cUcccUTYdQEg2/kysFba0RdffGGD6kgf+kVdfPHFSWsXAADIfsqcU0q3gmZRUNurVy9z4403mpYtW+6yvgJhpYiPGjXKPP/88zYoVgdBKM2aNTMPPfRQ0Pu+//57uy/1RDuznXTt2tV07969UK/1q6++6ga//fv3jypA1u8qBepqXzSB9eeff+4ud+jQIey6AJDtfFm8rG3btvb/mTNnprspAAAghyi9W0GsE1Rr7PMbb7xhA+ZgQbUTeGuM9TPPPGN7ryP1IIez7777mgkTJpgqVaq4t91///2F1vEGud7gN5g1a9aYH374wS4fd9xxdvuherG91PPu9IoXTUEHgFzk28DaOfsbq+KOywYAABg+fHih3x9PP/207TGOloLqr776yhxzzDHFboN6lvv06eNeV3q4CqgFC3J///13s3DhwpDbUuCtHmonndtJ6VaK+9q1a0M+zht4q0iaE5ADQK7yZWDduXNne3ZWqVCx+u6778yiRYuS0i4AAJC9Nm/ebB588EH3+qmnnmp69OhRrFoxhx12WFxtOfTQQ91ljeXWmG9v8K5g1xGu97noOGlVHBcF21OnTo3qcXoMhWEB5DpfBtYqyjFgwAA71USs6tWrZxo2bJiUdgEAgOz12muv2WrZjquvvjptbdHUW17eHmsFud5iYtEE1nvssYdp0qRJ1I9jfDUAZEFgDQAAkGoTJ04sVP073l7neBSd3ss75rpoOnioAFmVxr/99lu77ATUqkjuzI8d6nG//fabLeDmILAGAJ9WBQcAIBfs2Flg/li3ZZfbd27fbgLrtgZ9TMH2Eqb0zpIml+xeuazJL5n8vgJvL+3BBx9s0mnatGnucsmSJU39+vUL3e8NdhcvXmyDYWXteWmGlR07dthlb0+1lvUYFYlV9fLy5csXetyUKVPc5cqVK9vZWgAg1xFYAwCQoRRU/9+9/wtiENyH13QwdasVDv6S4ddff3WXQ1UAT4Xly5fbomkOVRxXgOulYFe3OSni6n3W/Nle3h5pbw+3xkyrgvn27dtt8K3aNqEep157BfYAkOtyLhVcY7P79euX7mYAAAAfUYDq9O5K1apV09IOTY2labG8FbuvuuqqXdZTsOstcBYsrdu5Tc/FOwVYpHHW3p57ptkCgBztsX7hhRfM6tWrzZgxY9LdFAAA4BPr168vdL1ixYpJ29fPP/9sLrvsskK3KSV73rx5dmot79ShqkquebWDUTr4hx9+GHQ+a83HrW05vc4lSvyvr6V58+amRo0a5q+//tolsNZtP/74Y6F9AAByMLAGAACIVaVKlQpd37BhQ9L2pbmnH3744bDrqPK3svDuvvvukFNdeXuTFQwrKFbALAqqt2zZsksPtTcdfPz48Wb69Ok2CC9durS93Rtoa+x127Zti/ksASC75FwqOAAAQKw0Xjk//3/9EWvWrEnp/suWLWtq165tOnbsaG6++WazcOFCc//995syZcqEfIzGXjuFx9TL7e21Ljp/dVHOfNYKvp2ebfFuo3379qZUqVIJeHYA4H++7LFu3LhxwqanAAAAiEbDhg3NL7/8YpeVlp0sSq+ePHly3NtR0HvIIYe404QpmO7WrZu7LOXKlQva6+wE1s66zvVQBc8AINf5MrDW3IlKe/KOMYpFqJQpAAAybRopVbwOOt3Wmv8Vr/IqKFfelK6Y/ArZmXacUkHBpRNYK0XaDxT8egNr2blzp6327Uwb5qR5e7Vu3dr2dmtstx5344032gJus2fPdtdhfDUA+DywrlChgv2gHzlypKlbt25Mj+3bt29Sx0UBAJAomps52DRSO7ZtM4GCXee3loLyZU2ZyrkVWKdKp06d3GmuNPWWglNv5e1M5A1+FRQrOF6wYIFbjC1YGrjT262ge9KkSfZ5KhjX3Nn6X5SCnu65vAEgk/gysNbcjPqQV1B92mmnxfTYiy++OGntAgAA2UvVt6+55hpbBEzuu+++jA+slQquHmkVIHOCY29V71CBtXOfAmsF4bNmzSo0vvqggw6y474BAD4uXuaMBZo5c2a6mwIAAHKExiNfccUV7vXXX3/dXmK1ceNGNxU72RT8Kgh2KK3bSQlXMTYVIAvFO856ypQphcZXkwYOAFkSWGt89YwZM2J+bHHHZQMAAAwcONCOP3acc8455p133on68T/88IPtRf7oo49MqniLjClAnjp1ql0+8MADw87HraC7ZMmSdlnt/eabb4JuEwDg08C6c+fOdoqJXr16xfzY7777zixatCgp7QIAIDUowpkuGlv86quvmlq1atnrmzdvNl27djXnnntuoRTroif1FZT27t3b7L///ja4TiVvEPzll1+av//+O2IauCjo1vA7J7BWOrnT053pKfAAkGq+HGO9++67mwEDBhTrsfXq1Ut4ewAAQO7QtJ+qCt6lSxcbJBcUFJhnn33WXvbcc0+z3377mRo1atgxzStXrrQn9f/4449C26hUqVLK2nvYYYfZYHjHjh2Fbo8UWDvrFB1616ZNG1tIFgDg88AaAAAgnRRAq/dXGXQqYrZmzRp3SlBdQlGP9ZAhQ2wvd6qo51lp395U7qJjqEPROpqFxYvx1QCQoYH1li1bqCwJAAB8RQHrLbfcYguavf/+++bjjz+2vburVq0yq1evttW4d9ttN9O8eXM7NZWCae/47FRSMOwNrFu0aGF71SMJFnwzvhoAdpUXSHM1r61bt9pxSkrvVtXKoUOHmvr166ezSUiDuXPnmlatWrnXlVrXsmXLtLYJABJNqbjz5s0rdNs+++xj03Rj2s627SawenXQ+wrKVzBlKocuSAUAQLZ+P85NY0yR9h7rTz/91M6PqIvGKEU7BlppViqksWLFClO5cmXTpEkTc+yxx9LzDQAAAABIqbQH1s6UD3l5eebiiy+2/4ejDvarr77aPPTQQzYQ91IhDRU1U1qW0q8AAAAAAMj66ba+/fZbd7l79+4R11fBjwceeMBW2vRmsWt5w4YN5q677rJjf9QDDgAAAABA1gfWzpzSDRo0MA0bNgy77rJly8zw4cNtr7bTs62AumiAreIcmgIDAAAAAICsD6xVOVNB8gEHHBBx3ccff9wWO3N06tTJTJw40SxevNhMmzbNnH/++XZbCq4///xzM2rUqCS3HgAAAACQ69IeWG/cuNH+X7NmzYjrvvzyy27grKkrPvzwQ9OxY0fb092+fXvzxBNPmGeeecZd584777QV5gAAAAAAyNrAunz58vb/SLN+LViwwPzyyy92WYHzlVdeGbT8+llnnWX69u1rl//880/z1ltvJaXdAAAAAABkRGBdrVo1+/8ff/wRdr3PPvvMDcBLlChhTj311JDrXn/99YWm8wIAAAAAIGsDa038rWDZWx08mMmTJ9v/nfHY1atXD7mu5rRWqrhTyAwAAAAAgKwNrA877DD7/4oVK9xe6aI0X/VHH33kVgLv0KFDxO3uu+++9v/ffvstoe0FAAAAACCjAutevXq5AfPAgQODFhtTkbK//vrLHYfduXPnqFPM165dm/A2AwAAAACQMYF148aNzSmnnOKmbZ9++ulm9erV7v0bNmwwQ4YMca9XrFjRHHXUURG360zLpd5uAAAAAACSZdey2mnw0EMP2THU6l1+5513TP369c2hhx5qK4ZPnz7dVvcW9Wx3797dlClTJuI2ncdUqlQp6e0HAAAAAOSujAis69SpY1577TVz8sknm82bN9vLxIkT7X3qyXZSxUuWLGn+85//RLVNFUPT47RtAAAAAACyNhXc0alTJzs1lqp5OwG1E1Q7Y6uHDh3q3h9pzuuVK1fa5WbNmiW55QAAAACAXJYRPdaOgw8+2MyePdumg7/99ttm0aJFZuPGjXb6rL59+5rjjjsuqu08/fTT7nLbtm2T2GIAADLMv0leAAAgVwNryc/PN926dbOX4ti0aZMZM2aMe/3II49MYOsAAMhw/yZ5AQCAXEwFT5R7773XrFq1yi7XqFHDtG/fPt1NAgAAAABksYzrsY6Xpu6qVauWLV7WsGFDt/AZAAAAAADJkHWB9X777WcvAADkJM4nAwCQclmXCg4AAAAAQM4E1r///nvK97lixYqU7xMAAAAAkL3SGljvtdde5uabbzb//PNP0velfdx44412nwAAAAAAZEVgramxhg4daouM/ec//zG//PJLwvehbV599dV2H8OGDbP7BAAAAKIxbtw4WwxXlz59+iR8++PHj3e3/8Ybb5hcs+eee7rPf8mSJSZTOW3MhcLIHTt2dJ/r5MmTg66jmZd0/z777GO2b9+e8jZmorQG1ldccYUpWbKk2bBhg7n//vvN3nvvbTp16mQef/xx88cffxR7u3qstqFtqYf6gQcesPvQvgYMGJDQ5wAAAHKH9wfnkCFD0t0c+NzmzZvNVVddZZcPOeQQc+qpp6a7SUBU7r77bvv/jz/+aEaNGpXu5mSEtFYFHzlypDn//PPNwIEDzYcffmgCgYCZMmWKvfTv3980b97cHHHEEbbKt5br1atnqlevbsqXL2/X1YfRX3/9ZX777Tfz008/mdmzZ5upU6ea+fPnu/vQenL88ceb4cOHm5YtW6bxGQMAAAD/UkDi9NJmw4ka9T7/+uuvdnnx4sX2OrJThw4dzJFHHmk+++wzc/vtt5u+ffuaqlWrmlyW9um2WrVqZd5//30zbdo0e+ZDy04wrADZGyRHy3m8ziafdNJJ5oYbbrDpCgAAAEAmWLdunR2mKAcccIA57rjj0t0kICbXX3+9DazXrFljRowYYe644w6TyzJmuq3DDjvMvPPOO7bnWS9SgwYNbIBcnIseq2Ba23r77bcJqgEAAJBRnnzySbN69Wq7fOmll5pcpR575zd8Jvdwe2MN/Ov//u//TKNGjezyww8/bDZu3GhyWcYE1o6mTZuau+66y/6RKbVbZz+6d+9ux1+XLVt2l/V1m9LEe/ToYdfVY/TYO++8024LAAAAyCQ7d+50x6VWqFDB9OzZM91NAmKm7GClgMuaNWtsob9clvZU8HD23Xdfe/Fau3atezZEH0RVqlRJU+sAAACA2H366afuWOQTTzzRVKxYMd1NAopFnZu33HKLXX7qqadyOvsi43qsI1EgXadOHXshqAYAAH6j6WucyuKqMp6oqX6CrfPdd9+ZSy65xGb+KXjT5eCDDzaPPPKI2bFjxy7bmDFjhp1SqkWLFrYDQ0VjjzrqKPP8888Xa1oqTcPz9NNPm2OOOcYWoS1Tpoz9v2vXruatt94ysVq2bJktlKTitvotqO3ttttu5sADD7RTty5YsCCm7X377bfmggsuMI0bNzblypUzNWvWNAcddJAteOukaSeD93jqWMRCAfmgQYNsFfHdd9/dlC5d2v6v64MHD7bHqDjvQaU4a7qvk08+2U5Tq6zQ2rVrm2OPPdY888wzpqCgIOi2lCnqbMs5WSBKEfa+J0NN3xTNdFvBpn9asWKFufXWW+1rr/eAk8WqIaXBXjsVO77xxhvt+tWqVTOVKlWyY9uVKauCyPH8DXqPQayXSFOM6STMxRdfbAsw63nqPa/3vsbkP/TQQ1G13aHX0Pl71GurY6bjf8opp9hp34pDMzBpyi3n70lVwnNWAMgAP/zwgwasuBddB4Bss3379sDs2bMLXXRbzNvZui2wbcXKoJct69Ynpe34V4cOHdzvqsGDBxdrG5MmTXK3oe1Fw/sdGe06w4YNC5QsWbLQ7d7LcccdF9iyZYtdd8eOHYFLLrkk5Lq69OzZ064XytixY911e/fuHfj9998Dhx56aNhtdunSJbBhw4aIz3/nzp2BW265JVC2bNmw28vPzw/ceOONgYKCgojbvOmmm8Ien3r16gW+/PLLXZ5XvPRcatSo4W5z5cqVUT/2jjvuiHgMdP/dd98d03tw3bp1gVNOOSXsdtu3bx/4448/dtnW4sWLwz6u6EX79mrYsKF7n7YV6e9Oj58wYUKgevXqIfehbS5ZssR9/JgxYwJlypQJuX7Lli0Dq1atKvbfYKzHwHsJ9ZyXLl0a6NixY8TH16lTJ/DZZ58FIlmxYkXg4IMPDrutbt262fdC0eMdyWWXXeauP3z48EA6vx/TGVNkdCo4AAAAYvf444+b6667zi5r2lL1zJUsWdJMnz7dzJs3z94+YcIEc8UVV9h1Nc3pE088YUqUKGHatWtne6zVu/X555/baZPkpZdeMvvvv7/tEYxEPdXdunWz+9N+1cPcpEkTs379ejut6h9//GHXU+HaLl26mI8++sjk5+eHHI98xhlnmNdff929rW7durZnWT3MGzZssPv55ZdfbC+8eiD//PNP+3xCUc/l0KFD3euayrVTp05mjz32MCtXrjQTJ060PZwnnHCCufLKK00izZo1y04XK82aNbO9zdG47LLLbIEoh7IPlE2gnke1edKkSfZYbNmyxb5Guu3++++PatvKMFAGgXpQdVzVA7l161bzxRdfuD2qX375pTn66KPtTD6VK1d2H6tlJ/1XPdt6jeXcc8+1vcJF6bWLh7Iw9Pqpp1bZDyqArP0oW0HvV8XA6jnXVLvff/+9efnll02/fv3c463np55a3ff111/b2+fOnWvOOeccO/1vcXiPQSRz5syx7XQE6wFXr6+OtXrlnXVat25tXxdlVixfvtxW49ax/v33320P9AcffGDfD8Fo/LPe397eZGUUqMCzesD1/HUs3nzzTfsZECv9fT/00EN2+eOPPzbXXnutyUkBn9i8eXPgzTffDFxzzTWBHj16BI455phAp06ddllPZyg3btxoL9u2bUtLWxE7eqwB5IJYz8gXbN8e2Lp06S6XTQsXBTbO/DboZf28+UEfk80XHadU8UuPtXrnateuHbS3acSIEYV6eO+77z673KJFi8B3331XaF31UF955ZXu+hUrVgzZw+zt2S1durT9v3Xr1oEFCxbsss3bb7+9UHvvuuuukM9LPdXOenpOr7/+etAe6VdeeSVQpUoVd92XX3456PamTJkSyMvLc9c7/fTTA6tXry60zpo1a2wPvfe5JKrH+uGHH3a3d9ppp0X1GD0X7/Hq06dPYO3atYXW0fWzzz670Ho6VpHeg87za9SoUeCbb77ZZd0nn3wyUKpUKXf9Cy+8MGQ7o+l9Ls5jvH93em+rPTqO6v33mjx5cqBChQqF3ld6z1auXDnw2muvBT2u3qwFvTfi+RuMRL3Qeg872+nVq9cu6+jvS3+LzjrHH398YOHChbusp9fbm2Wyxx572PdtMH379i30eqsHv6jp06e7r4X3PR9Nj/VPP/3krl+1atWoMkaKosc6RVTtW2Nd/v77b/c2vb+DneHRmApNt6WzdRpDpDNtAAD40fYVK8yigw9NdzMyXuPpX5jS9eunuxkZRb+RPvnkEzsus6hrrrnG9szpfvXwXn311aZWrVp27Kr+91Jvs36HqTdM05iqR/S9996zBYvC2bZtm+2ZVE+0xmkX3ebNN99se0SdeW81m4t6/Lw9oaLeUvVAi8aXTp061fZ8B6NZZGrUqGF75mTIkCH2tqK/FzUlqzNlknoF1ROvNnmpjo/GQet3pZ5DIqnH0qExwZEoc8CbJaDnpCJRRZ+Xjp3TY+yMXx84cKAdwx2uF1KvlcbTq6cx2LE9//zz7b70vzNNmLYb6nVINr1vRo8e7fZCe3Xo0MG+vnp/iXq2nb8F533hpfexnre2J3ovHHnkkUlpt4ova/y6MglEcYpex6Luu+8+t2dZWR+vvfZa0NdPr7dqJWzatMmOm1bv9mOPPeZmqjjUkz927Fj3ujI5evfuvcv21JOv97rGoGubsdBMTPn5+fbzRL3jS5cuteP0c01GFy9TGpEqJeoNoqA6mvnj9OGtN4vWUVrQwoULU9pmAACAdLvooouCBtWOXr16FbquAKRoUO1Q0OkNpJ302Uhuu+22XYJqLwU/Sr12go4XX3xxl3UeeOABmwouKtgVKZhTKqyKOomCE6Vde+k2b6fLgw8+uEtQ7VAwoymxwhWMKw4ntV6UyhyJgh3nMSpUpjaHapNuV7p4qVKl7HWlxytwjEQnV8IdWwWxbdq0scv6je0Eoumg4QjBgupQ720V5goWVAdbP9r3dqx0zJRqrjR2qV+/vi0WVnQqYcU+Tkq1UrQVKEdKzdaJJ+f9EKzI4JgxY9zYScFzsKDaW4isOEMf1MY9/vu3LJEKsmWrjA6sVcVSZ0j1ZtCbS18SGiehP5Bwzj77bHf5/fffT0FLAQAAMsfpp58e9v6i05lGWr9Vq1ZBA8NQ9LstUq+21vHO36wxwkV5f8edeeaZJhreIEo93F7efShQdKoZhws0VG07kZzx5RLuxIND470dGvOtMdXhKFPg//7v/8Ie16I0HjqWdaLZZrJEeq+qwrt64JP13i6Om266yY5fFrXt7bffDvo6qir/qlWr3GyKUCe7vFQh3Ml8+OGHH+zUxF7e10rBfSThAu9watSo4S47vfK5JmNTwWfOnGnTFnQGxkklct40GqwfzqGHHmpTeNatW2eLA6gwBwAAQK7wBgvBaLohh34zRSoopTRsh35fRaLAPZq5mVU8ySmwVbR3WdmKzvRZ6qnV1ErRcIqzSdGpp7z70L6jofVUuCtR1DvvLZoWibfN+o0bDRX0UmE4ZwqkSAGRUnkj8R4v9byGGpaZ7ve2VK1a1T3O4TI3ivPejtVzzz3nFsrT8dJ1FRMMxvs+U/E8FayLhtKvRa+JHudMSazrs2fPjuk9r5NJOiaxTjdX3vNe9r7Hc0nGBtYKqp0/2GeffTaqMSheesOq6mROz6UGAABykvPDOhRvBe5I6xZdX+mqkajeTTS866mSt5dTEdkZB+ytiB2tf/75p9B17z6K08ZECze8MVibox23qrmJHU4F8lCKcxw0zlljuYuOiU+FWN+vsfwtBJvbPR5fffWVOzbdSdsON2+5Knx7x+J7x+MX5z2v3mv97RTntY41sA5E8V7OdhmbCu6kLeislAoRxMoZs6Jy9AAAALkklp7EZPQ6RtMTK96UXWeaJkfRlNbiKBooqfhaPG1MBO/2NGVUJN42R9uWcMe1qOIeh0jbTZZY36/p6FUXFfBSEK2TEE4qfaSp6hL9nve+d5L9nt/seS8n+m/GLzK2x1pnbPSHoMp0xeGkH+VqKgIAwP9K7bGHrXhd1M5tO0xg7b+pf0UVlCtvSleM7sdTNh2nbKaq0H4TbVVh7++0onMee3+cq2c0EUGHNz29OG1MBI2tddJzI/UmF21ztG0Jd1yLKu5xiLTdXOZUAHfG0ys1P9y86sHe8xrKquJ98Sg6HEOvdTRBb3He8396Misi1QHIVhkbWGu6LClaLS9azhmaaMb3AACQifLy84NOI7Vj23YTqBA8eC6oUMGUrsR3XyZzKjZHm3qaiIAyHb110fCOgfYWP5Ldd9+90NhXBQXR9riFUrNmzbjamAiNGjVylzUeNhlt9lZlLnpci/v8vOup8ByBdeiUaBVSdk6eKH3/jTfesMcsEu97PhEFwJQGr/oETjq43j/e91Oi3vM6+bfS017vUIRckrGp4M6LXtw31fz58wttJxv9+uuvdi5KjT/X2ScVGmjXrp255557Yp5/LhxVZtc8ekqv14eC/td13Q4AAGLjHZeqAl2RfP/998ZvVJ04ml4vb7Gm1q1bF7pP0/doWiKHd5qs4vJmQmr8azQSWbhM9ttvP3dZc4PH0uZoj4F3vaLHNVhPo6bliuU4qJZRsBTrdKVdZxJNXaeptEQnH1RELprq3s7c1t7XMN5xy3o9ND1ZLO/5n3/+OarPpaKP2fHfk4QqHJeLc1hndGCtYFFvJv0RO/MXRktnWVStUG8mBZrZSH+k+mDWJPL6UFYgrWIFKtM/cOBA+yEc7xzeOvukggua2kEfEBqvrjNe+l/XdfsFF1zgyxQ1AADSRT86nQBE39VFx0EW9corrxi/Uebhq6++GnYd/abQNKreOaiLOumkk9zlRx55JO52efeh30xOR0woen0SHVhrLmGHt2JzNNOHafoxZzqmcMMpvZ0f4eZwdqhQcCzrBHutimaaRlPkLtvoGN19993u3M6am73o1HbhKGVcgamTzeBUdo+H97VSRfJInnnmmZj34X0ft8vS2MvXgbUz/57GnsT6At9yyy1uMH7ccceZbKNpF8444wybFqVU9zvvvNOe1fr0009toCuanuLEE0+Mq7CE5tzTpPKiQF0fDl9//bX93zl7Onr0aHPzzTcn6JkBAJAbPdbObCfq5Xn++efDfuc/+eSTxo8GDRq0S1VuL1VIdorMKvOuV69eu6yjzLySJUvaZc0DPG7cuKj3HyzrsUWLFoWmrBowYEDIDgLdrnGuia52rN9QTnq2AnfvvNbBHHvssW76uAphXXnllSHXVVsvv/xyN6ht0qSJ6dy5c8Q2qaMm3BzOOu7ffPONXdZJoX79+gVdzzsvd64VENZvced3uAwfPtz+Fo+FMkO9r2///v1jOo7B3kve10o91uGCa70fnenvYqHpjR3HHHOMyVUZG1j36dPHLY9/9dVX27OK0bjttttsIK4/ek2Y3rNnT5Nt9CWgynuaHkDzeyvlRPPS6YykCiPoD9kJru+9995i7UOPHTFihF1u27atmTZtmj2WOgul/6dOnWpvF6Wex9s7DgBALjnzzDPdZVUK1vdqUep1VFDlx/RajetUBqHaXzTNWJ0fmtdXv9kcN9xwQ9CpmxQYek/g9+3b1/znP/8JWfRLJyr02+icc84JWQBXHRLOMdW6ei2ceYAd6rzQNvQa6LkkknoylfXnmDhxYsT1nV5QUQeHAriimQ7qTDnvvPPseF6HfhPq8eHo+emxCoiCzXmtKXAvuuiiQoFaqHmvvXNMR8pYyCYau6xhkk4FcL1PdVKoOPQ4Z+5tBdX6va1jGeoEkP4W9PtfKf/6TR5sXmrFVQ5loz799NO7rKdYS+8BDeGI9T3vfQ+f5MkyyTUZW7xM44XvuOMOe9ZNH25HHHGEufTSS+3ZTOdNK7pP8xwq8Hv00UcLfSDojIu3QEg2UI+xc1ZIH2zBJnrXH6Q+BDWHt6oJquc51uMwcuRId6zEqFGjTLly5Qrdr+Ihul3713o61sWZXxIAAL967LHH3LGU0VAgqUrBot83+t2itF0FdUceeaRNA1VPttKovWnK6i30/jD2g9NPP92edNfvFj0n/Y5TkKwA7rPPPis0R7We+3XXXRdyW4MHD7bFuBQMqEdWnQb6DaKAQ9vUbxL9HtQ6mvfXGdvt7T316tixow3OnSBE6ejvvvuu7aBQNWP1+ilQUOBarVo126ExZMiQhB6fs846y83I1HsoWG+9V48ePexxc35rKWNQ7VaarwpeKT1cmYveYFs9n6eeemrEtui3nH53KyNAx/SQQw6xPfv6va00+EWLFrnr6nan4yWY0047zTz++ONu6v7MmTNtwOctOnfJJZfY1y2b6He3k6KvDAt1fl122WVRfy7o+DuUjfr222/bTANlESjzQq+/shz02ug9qr8DzTM9b948O77ZCbpDpf0rI0GvpYaP6nXV54n2q9deveRz5861f6vart4zGmM9ZcqUqNqv/asdopNZeo/krECGGzBgQCAvLy9QokSJQhfdFu72wYMHB7LRDTfcoHwke/nqq69Crjd06FB3vQkTJsS0j4KCgkCdOnXsY5s3bx523b333tuuV7duXfu44vrhhx/c9uqi6wCQbbZv3x6YPXt2oYtui3k7W7cFtq1YGfSyZd36pLQd/+rQoUOh76tYLmPHji20rZkzZwZq1KgRcv3SpUsHHn74Ybuu9/ZQolnHsXjxYnfdhg0bRlx/0qRJ7vo6BsHo+Tnr9O7dO7B8+fLAIYccEvaYnHjiiYH166N7zz744IOBatWqRXWs9Vvw5JNPDru966+/3v52DLUN/Rb64osvdnleibBjxw573LXNChUqRH0Mbr/99kCZMmXCPveyZcsG7rrrrphez7Vr1wZOOumksNs9+OCDAytWrIjYxl69eoXdjvbt5RwHXfS+jPR3V/TxwUSzTa94/74UdxT3cyFU+/7+++9A9+7d7Xs5mu1UrVo1MG7cuJDt199j27Ztw25DfzPr1q2L6Xjfcccd7rqjRo0KpPv7MZ0xRcamgnt7TnVWTmnhek8741yUwqOLc5tz0YB/nTVK9JnFTOGkimksUps2bUKu16FDB3dZvfmx0NkxnUEvup1w+1GqindqBwAAEJ568tQrrSFdKnCknir17Cl1U1l6Gl+tMZZ+pSF56vVSvRb1pOm6UkxV7Vs99+ohVU9xtFOjqpdfM6Ko17Zr16523LEeq95B9SzrGGq4mjIJtN5bb70VdntKR1cvndJ2NT2Qeu7Uy63fV0oXV0GmYJmBiaBeTT0fUQ+70rujobR49Trqfw3PUy+mnr/+V1E01RnS/Uqtj4XS8NVLqkJ5Ghesaux6rVTNWj2n+m2tMcTRzE+smgG6KCVYM8kUd+rcXKdebL0eysLQZ4RqA+hvR6+Ljqlei8MPP9zWAdBrpyyQ3r17h9ye/v40xvqpp54yRx99tJ05SdvSa63XSunmyp6IZRo1xV7anlSpUsV3mTWJlqfo2viAUlv0wqkaolIZvEW59EGoDxO9KTQGJNgYnWyhPwKNpVDpfFU+D0XFQpy0ku7du8dUUVRfcl26dLHLSvEOVyRD92sMvLz33nuFxgzFQiko3nE5+sMONX4n3LGJdjoDAEgHDZ1xUuYc++yzj/1hHNN2NI/16tUh57EuwzzWSAOlrGuMr+gHfiyFxnKRfsvq5IDSbiP9rku0yZMnu9Wi1Umi60CsVIPA+e1/44032hNS6f5+LBpTaOo/Z8x6zo6xLkpnJHVGRhfn7N7atWttz61T5CzbacyVU6xDZwDD0ZlbHRsdp1gneVd5f0ek/Xjnl4x1P+HoTHSsNAYrWzMVAABAdlHPoKZI1fhy9Y5/+OGH7qw4gB8MGzbM/q+M4WuvvdbkuoxPBQ9FQaNSGnIlqBZvL300aVM6RhJpfsx49uPsozj7AQAAyGVKB1caunirpAOZTsX0nAJnGppQ9b/zb+cy3wbW0VKVyGzqsXZEUwZfKfKiqbmStR9nH8XZDwAAQC7TrCvOvMEa6uidKgvIZJomUFQF3MkoznW+SQWPlaauUGn5hx56yJajzwbe4g/btm2LuL4zLVnRqbISuR/v1Gex7iec4o6xBgAA8BMNf/NJySPApWJ2yPLAWgUgNL+hKkZmW2qyt0pfNM/Nmccx2mqbxdmPs4/i7CccBdWpKjQAAAAAAPHImsBak7IPHz7cTkq/adOmQtNyZQv1JGsaCJ088BYYC1UV3Al6vQXGouEtWBZpP96CZbHuBwAAAACyQUaNsf7222/NxRdfbEurawC8AsmGDRuaM844w0ycODHoY1QZXNUUNV2Bxqh4e1BVWOuaa64x2UTHRhYuXGjL0oeieTEdGvtQnH0U3U6i9wMAALKH5rBVx4YuTLWV2Tp27Oi+Vky1BWRZYK0AWBPdP/nkkzZYU9Exje9Vj+hrr71mjjnmmF3KuOt2pQyPGDGiUOEsBdQKthcvXmx7sbOJJoIXnUCYOXNmyPWcKn1y2GGHxbQPnaRQxfWi2wlVEVDq1q3rVrUEAAAAgFySEYG1phdQb3O4wg26T8XIFEQ7Zd3Vk620aO8YX01OvmTJEjN06FBTo0YNk2288zuPHTs26DoFBQXmmWeescvq+T/qqKNi2ofS50855RS7rJMcX331VdD1dLvTY631syntHgD8i89iAAByLrD+/fffzZ133mmDMicwUyB41VVX2SBZaUXOmF8F1+qBVkB51113udsoX768uemmm8yvv/5q7rjjDrPbbruZbHXQQQeZI444wi6PGTPGTs1QlIq3/fjjj3Z5wIABplSpUoXuV8qPc7x1fIO58sorTcmSJd05FotOpaXrul3y8/Pt+gAAAACQi9JevOzpp58227dvt0FegwYN7DRL+++/f6F1du7caXugBw0aZHuoL7roIjfQPu6448zo0aNtKnKueOCBB2x6t4LbY4891p6A0MkIXX/ppZfME088Ydfba6+9ij3GXI9V6v3dd99tZsyYYfen9PomTZqYX375xQwbNszMmjXLrqv1mjVrltDnCAAAAAB+kfbA2hmjKy+++OIuQbWo51Sp3/PmzbOBo4p2KRDv1auXefbZZ3MuBfnAAw80L7/8sjn77LPtWHQF1sEC4/fee6/Q1FmxUiaBqq0/9dRTNoju2bPnLuv069fPZgkAAAAAQK5Keyq4gmUFxvvuu6855JBDwq7bv39/d7lMmTJ2zHWuBdWOLl26mDlz5tiUeQXRSofXeOq2bdu6vckq7BaPEiVK2HRzBegaQ62CZqVLl7b/6/r7779vswW0HgAgsmDfWaqLAQBALisI8l3otzgv7T3Wmm9ZgvVUF+Wso4N86KGHmlq1aplcpqnIdHJBl+JMsRCtE044wV4AAPEJdiJy69at9qRlTPz1WwMAgLD0XViU3zrv0t7aDRs22P+rVKkScV1vWrPGYwMA4Cc6MVy2bNlCt61duzZt7QEAIBOsLfJdWK5cOd/1WKc9sC4uTa0FAIDfaNiO15o1a8zGjRvT1h4AANJp48aN9rvQK5pO10yT9lRwAAByiX4srFy5stC4ssWLF9uAW/ephkik9DcV8Qzs3Bn0voKdO03JHTsS3m4AABKloKDApn+rp1pBddEx1gTWAAAgLAXOlStXtrM6OPSDYvXq1fYSDVsnI1TRs7w/TV4Jf6XPAQDg0Hekviv9JmMC66+//trcdtttSVlf818DAJApVCfk119/NevXr093UwAAyBiVKlXybS2tvEAs5aGTQOluyR6YvjNEuhwyx9y5c02rVq3c6z/88INp2bJlWtsEAMmkXuqlS5cW6rmO1o7t2435O3jv9s6KFU2ZihUS0EIAAFLbU92gQYO4qoGnM6bImB7rZMX3fqsmBwDIDfrhsOeee7pjzHTZvHlzupsFAEDKlCtXzo6ndmqM+FnaA+sjjzyS4BcAkLP0Q6JWrVr2opPM6smOdLJ56ZyfzNbLBwS9b9WFV5oDB/RNUmsBAIhfXl5eSjKXcyqwnjx5crqbAABARtAPjJIlS0Zcr0RenskLNT57+w6Tn5/2r3cAAHKKb+exBgAgZ2XRGX4AALIBgTUAAD5DWA0AQGYhsAYAAAAAIA4E1gAAAAAAxIHAGgAAnwlfM5xEcQAAUo3AGgCAbEJcDQBAyhFYAwAAAAAQBwJrAAAAAADiQGANAEA2YY5rAABSjsAaAACfCYSvXgYAAFKMwBoAAAAAgDgQWAMAAAAAEAcCawAA/IZx1AAAZBQCawAAfIawGgCAzEJgDQCAz1C7DACAzEJgDQAAAABAHAisAQDIKiSKAwCQagTWAAAAAADEgcAaAAAAAIA4EFgDAOAzFC8DACCzEFgDAJBF8kowxhoAgFQjsAYAAAAAIA4E1gAAZJMAieIAAKQagTUAAL4TOt2buBoAgNQjsAYAIJswxBoAgJQjsAYAIIvk5RFZAwCQagTWAAAAAADEgcAaAICsQo81AACpRmANAAAAAEAcCKwBAPAbSn8DAJBRCKwBAPAdAmsAADIJgTUAANmEquAAAKQcgTUAAAAAAHEgsAYAIJsw/hoAgJQjsAYAAAAAIA4E1gAAZJEAY6wBAEg5AmsAALIIYTUAAKlHYA0AAAAAQBwIrAEA8BsKlAEAkFEIrAEAyCbkggMAkHIE1gAA+Az91QAAZBYCawAAsggd1gAApB6BNQAAfsMYawAAMgqBNQAAWYR5rAEASD0CawAAAAAA4kBgDQCA34TJBM8jTRwAgJQjsAYAAAAAIA4E1gAA+E2YYdSMsQYAIPUIrAEAAAAAiAOBNQAAAAAAcSCwBgDAbwooUAYAQCYhsAYAIIvkleCrHQCAVOPbFwAAAACAOBBYAwAAAAAQBwJrAAB8hzHWAABkEgJrAAB8hrAaAIDMQmANAAAAAEAcCKwBAAAAAIgDgTUAAD6Tl+4GAACAQgisAQAAAACIA4E1AAA+Q/EyAAAyC4E1AAB+EyC0BgAgkxBYAwCQTfIYgQ0AQKoRWAMAAAAAEAcCawAAAAAA4kBgDQCAzwQKGGMNAEAmIbAGACCbMMYaAICUI7AGACCr0JsNAECqEVgDAJBNvdLE1QAApByBNQAAPpNH9AwAQEYhsAYAwGcC4eJqxlgDAJByBNYAAAAAAMSBwBoAAAAAgDgQWAMAkFW54AAAINUIrAEAyCaMsQYAIOUIrAEA8Bn6qwEAyCwE1gAAZBH6qwEASD0CawAA/IYx1gAAZBQCawAAAAAA4kBgDQCA31CgDACAjEJg7VObNm0yw4cPN+3atTO77babqVChgmnevLm55pprzK+//hr39pcsWWLy8vKiuvTp0ychzwkAAAAA/Cg/3Q1A7BYuXGhOOOEE8/PPPxe6/aeffrKX0aNHm+eff96cdNJJaWsjACCJGGMNAEBGIbD2mfXr15sTTzzRDaovuOAC07NnT1OuXDkzadIkM3ToULNu3TpzxhlnmGnTppkDDjgg7n3ecccd5pRTTgl5f7Vq1eLeBwAgQcgSBwAg5Qisfeaee+4xCxYssMtKBb/22mvd+9q3b286duxoOnToYFPFr7zySjN58uS491m3bl3TqlWruLcDAAAAANmIMdY+sn37dvPggw/a5RYtWtjx1EUdeuihpl+/fnZ5ypQp5ptvvkl5OwEAAAAglxBY+4hSvdeuXWuXe/fubUqUCP7yeYuJvfnmmylrHwAgNQKMsQYAIKMQWPvI1KlT3WWle4fStm1bU758ebuscdYAgBySx1c7AACpxhhrH5k3b567rKm1QsnPzzdNmzY1c+bMMT/++GPc+x01apQtYPbbb7+ZMmXKmHr16pkjjjjCXHjhhaZ169YmWZXPY1WzZk1Tq1atpLQHAAAAAEIhsPYRBbaiOaurVq0adt369evbwPrPP/80W7dutQFxcX377bfusralAF+Xxx9/3Fx00UXmgQceiGv7wXTt2jXmxwwePNgMGTIkoe0AgIxEJjgAABmFwNpnU21JxYoVI66r4NuxYcOGYgW+Ct67detmK403a9bMlC1b1qxYscJ89NFHZsyYMXa7Cq7VLs2bDQAAAAC5iMDaR7Zs2WL/L126dMR1vYH05s2bY95XnTp1zPLly92x2o4DDzzQnHDCCebSSy81nTt3NkuXLjUvvPCCnTf75JNPjnk/AIDYBeiyBgAgoxBYJ0FeXl7c2xg7dmyh6t6iHmPZtm1bxMcrZdtRrly5mPev4D1cAK8e7Oeee84ceeSR7jjsRAbW48ePt+PEYx1jDQA5IQHfMwAAIHEIrH2kUqVK9n+lYEeyceNGdzma1PHiUAGzffbZx463VsXygoKCkFOAxUpBdcuWLROyLQDINnkBhlkDAJBJCKyTIBGVuPfYY49dblM17unTp9ugec2aNWELmC1btsztxU10YTEvJ7BWmvrff/9NrzEApBu92QAApByBdRKEmwor3iD29ddft8vz5883hxxySND1duzYYX755Re73KJFC5Ppae8AAAAA4GeJydtFShx++OHu8pQpU0KuN2PGDDcV/LDDDkvJ3NrqFa9evXpS9wUA+BfFywAAyCwE1j6iaa+qVKlil59++mkTCAT/YTVu3Dh3WdNlJcu0adPM3Llz3aA/UeOrAQARhPj8F/KIAABIPSIhH1GV7iuuuMIdxz1ixIhd1vnyyy/tHNPSoUMH065du5Ap3LrsueeeIatyhwrcZeHChebMM890r/fv3z/m5wMASAKG6AAAkHKMsfaZa6+91rz88stmwYIFZuDAgTbA7dmzp51Sa9KkSeauu+6yY6x1feTIkcXej3q6VZn71FNPNQcddJAtnKZ07xUrVpgJEybY4N2pTt6jRw+7HgAAAADkIgJrH0659d5775kTTjjB/Pzzz+aJJ56wF6/KlSub559/3hxwwAFx7UtB+/Dhw8Ouc8kll5j7778/rv0AAAAAgJ8RWPuQepJnzZplHn74YfPqq6/aAHjbtm2mfv36NuAeMGCAadiwYVz7ePvtt21auab3+vXXX81ff/1lC6IpaG/cuLGdw7pv376mVatWCXteAIAohRmqAwAAUo/A2qcqVKhgU8F1KY5w46elS5cu9gIAAAAACI/iZQAA+A4FygAAyCQE1gAA+A1xNQAAGYXAGgAAv2GMNQAAGYXAGgCALELIDQBA6hFYAwCQRfJIEwcAIOUIrAEAAAAAiAOBNQAAfsMYawAAMgqBNQAA2YRccAAAUo7AGgAAAACAOBBYAwCQVeixBgAg1QisAQAAAACIA4E1AAAAAABxILAGACCrUDEcAIBUI7AGAAAAACAOBNYAAGTVPNYULwMAINUIrAEAyCbMYw0AQMoRWAMAAAAAEAcCawAAAAAA4kBgDQCAzwQKqPwNAEAmIbAGACCLMMQaAIDUI7AGAAAAACAOBNYAAPhNydBf34ESJVPaFAAAQGANAID/NG5qNpQuv8vN20qWMlvbHJSWJgEAkMsIrAEA8Jnau1U0U5q23+X2Lxq1NU3qVk9LmwAAyGX56W4AAACITbUKpc13p11gdpQsaQ5b9I0pUVBgpu/Z2nx+Yh9zcY0K6W4eAAA5h8AaAAAfuvX0/U2/tWeZ59qeZq9XKV/aPNmzTbqbBQBATiKwBgDAhxrXrGjevepI883iv83OgoBp16i6qVyuVLqbBQBATiKwBoJYtWqVeeSRR9zr/fv3N7Vq1Uprm7IRxzn5OMbZfZwrlMk3HZvvbnIF7+fk4xinBsc5+TjGqcFx/p+8QCAQ8FwH0mLu3LmmVatW7vUffvjBtGzZkvZkOY5z8nGMU4PjnBoc5+TjGKcGxzn5OMa5eZznprE9VAUHAAAAACAOBNYAAAAAAMSBwBoAAAAAgDgQWAMAAAAAEAcCawAAAAAA4kBgDQAAAABAHAisAQAAAACIA4E1AAAAAABxILAGAAAAACAOBNYAAAAAAMSBwBoAAAAAgDjkx/NgIFG2bt1a6PrChQvT1pZg+093e7IVxzn5OMapwXFODY5z8nGMU4PjnHwc49w8zguL7L9ojJFMeYFAIJCyvQEhvPXWW6Zr167pbgYAAACALDF+/HhzyimnpGRfpIIDAAAAABAHAmsAAAAAAOJAKjgywpo1a8yUKVPc6/Xr1zdlypRJa5sAAAAA+MfWrVvNsmXL3OsdOnQwVatWTcm+CawBAAAAAIgDqeAAAAAAAMSBwBoAAAAAgDgQWAMAAAAAEAcCawAAAAAA4kBgDQAAAABAHAisAQAAAACIA4E1AAAAAABxILAGAAAAACAOBNYAAAAAAMSBwBoAAAAAgDgQWAMAAAAAEAcCawAAAAAA4kBgDURw3XXXmby8PPcyefLkdDfJt7zHMdylY8eO6W5qVlm6dKkZPHiwadu2ralZs6YpW7asqV+/vjniiCPMoEGDzA8//JDuJvqK3p/Rvpf53EiMbdu2mdGjR5vjjjvO7LHHHqZMmTKmYsWKZu+99zbnnXee+eKLL9LdRN/bsmWLeeSRR8zRRx9tPydKly5t6tSpY0444QTz0ksvpbt5GW3VqlXm3XfftZ+nxx9/vKlRo4b7t9+nT5+Yt/fBBx+Ybt26mXr16tn3uv7Xdd2eyxJxnAsKCsy8efPMuHHjTP/+/U27du3sMeazOnHHeNOmTeaNN94wl1xyiT2+1apVM6VKlTLVq1c37du3N0OGDDErV640WSkAIKRZs2YF8vPzA/pTcS6TJk1Kd7N8y3scw106dOiQ7qZmjQcffDBQoUKFsMd7wIAB6W6mr+j9Ge17WZcSJUoEfvvtt3Q327eWLFkSaNmyZcTjfPnllwcKCgrS3Vxfmj9/fmDvvfcOe3yPPfbYwPr169Pd1IwU7rj17t076u3s3Lkz0K9fv7DbO//88+16uSgRx3ncuHFht5Prv/HiPcazZ88OVKxYMeLndeXKlQMvvfRSINvkpzuwBzKVzmpeeOGFZseOHaZWrVr2LB4SQ2cxdaY4lAoVKqS0PdnqjjvuMLfccotd3muvvcwFF1xgzx5XqVLF/P3332bWrFnmzTffNCVKkLwUi7Fjx5qNGzeGXUc9ImeccYZdVg9g3bp1U9S67LJ9+3Zz4oknmrlz59rr++23n7n66qttT/X69evN1KlTzb333mtfj1GjRtke1uuvvz7dzfYVfbcdc8wxZtmyZfZ69+7dTe/eve2x/P33383TTz9tXn31VfPRRx+Znj172t4shNagQQPTvHlze7xiddNNN5kxY8bY5QMPPNAMHDjQNGnSxPzyyy9m+PDh9jNbmRvKKLjrrrtMLivucf43dvyXelH33Xdf+znz/fffJ6GVuXeM161bZzZs2GCXDzvsMHPSSSfZbDn1Vv/555+2J/vJJ5+065111lmmcuXKtmc8a6Q7sgcy1f3332/PqjVv3jxwww03cDYzAZxjOHjw4HQ3Jet98skn7vE+99xzA9u2bQu57tatW1PatlwwcOBA9/g/++yz6W6Ob7366qvucWzfvn1gx44du6wzY8aMQKlSpew6VatWDWzfvj0tbfWrSy+9NOJn86BBg9x19Jpg1+PzzjvvBFauXGmvL168OOae1J9++snNkGvbtm1g06ZNhe7fuHGjvV33a72ff/45kGsScZynT59uM7m+/PLLwObNm+1tet/zGy8xx3jatGmBHj16BObOnRtynfHjxwfy8vLsNps0aZJVmUYE1kAQv/76q5vKMnnyZD50E4TAOjWUJtisWTN7rPfff38CjTQc/7p169rjr88R/SBG8Vx11VXu58bbb78dcr1u3bq5682ZMyelbfQznaioUqWKPW4NGzYMeuLCWa9BgwZ2vTZt2qS8nX5TnIDvkksucR+joC8Y3e6s079//0CuK85xDobfeMk/xkWddtpp7nZnzpwZyBbk/wFBXHrppTaVRelwHTp0SHdzgJgobevnn392i+/l5zPqJ5U+/fRTs3z5crt8+umnm/Lly6e7Sb4uWuZo3LhxyPWULhvsMQhPnxNr1661y0oHL1myZND1dLvul5kzZ5rFixentJ3ZTued33rrLbus1NtDDjkk6Hq6XcMgROt705oBPznqqKPcZQ11yBYE1kARr7zyih1Dtttuu5kRI0akuzlAzDQeUlTFU+ObHKtXr7Y/pPU/kueZZ55xl88999y0tsXvnCBCFi1aFHI954eZ3vPNmjVLSduygWotOHbfffew63rv//zzz5ParlyjExUazy6RTuY79+vk3ZIlS1LSPiDRtm7d6i6HOqHnRwTWgMeaNWvMgAED7PKwYcPsNANITuC3zz772J68SpUq2R/Cyg6YNGlSupuWFb766iv7/5577mmP7wsvvGALtKh4iIqY6X8FLDpx5P1yQ/yU6aKCcNKwYUOmjotTr169bHEb5zN5586du6yjgk7vvfeeXT7zzDPd9RGZpixzOD3XoXjvV3E+JI73eKrHOhzv/T/++GNS2wUky5QpU9zlFi1amGxBYA14qAKn5tZTJcN+/fqluzlZ/SNCPwg2b95sA5GFCxfaXr5OnTrZuToj/cBD+Gr28+fPt8s6MaQTRaq8WXSu6gULFphrr73WHnOdUEJivP76627F8LPPPtv2oKL49B5+9tln7Um4adOm2ar2+qzQyaNPPvnE3HrrrbYHT+nfrVu3thXCEb2mTZvaysjy2WefhV3Xe//SpUuT3rZc8ttvv7nLmrM6nPr167vLTiV3wE9mz57tngzVSX8CayALKbVN01hoPOpjjz3GD+Ik0I9jTdeiqRZ0vNXTpPHAmmJEvagyfvx4c8opp9jpLxA7nZRQcC2aPuTBBx80e+yxh3nuuedsCvimTZvsmWJnDN8XX3xh+vbtm+ZWZw/SwBPv5JNPtuN6zz//fPPdd9/Z7Jb27dvbMb9DhgyxnysjR460nymR0pmx69SGOrkmc+bMMS+++GLQ9XS7dzoiTXWGxPEeT28WQaTpKJ1pjQC/2Lp1q/0sd7KP7rzzTpNNqGgD/LfYjeasViGQq666yrRq1SrdTcpKGhNWtWrVXW7XD+TLL7/czmWoYFuB36OPPmquuOKKtLTTz7zzK2/ZssUGHUqx945VPfLII83EiRNtcKIzx0pdnj59ujn44IPT1Ors6XWaPHmyXdaJC6XdIzGfzzphEapY0x9//GFPHDVq1MgG4YiNTk6o4N6OHTvsSQuNV9dJIZ2QW7FihT32t912myldurRbGE7ZRkgcfVY7dJzDKVOmjLvM6wC/ueyyy8yMGTPssj5vunTpYrIJPdaAMeauu+6y6bMNGjQwgwcPTndzslawoNqhnqbXXnvNTUscNWpUCluWPcqWLVvous4Me4NqR7ly5QqdKX755ZdT0r5spuDOyRbQDwYk5kRR586dzdChQ23GhYbraBiJej2UnaGMl8MPP9z+UOvatau577770t1k39FJoMcff9xmaylT6JZbbrH1ARTg6X9d133eY6vaDUjO53akqvbeuhj6HAf8YujQoTYzVDSs5+GHHzbZhsAaOU8Btf7YnWDOm2aF1NJ0Os6ULhp37VRJRfSK/uA99thjQ6579NFHu1NxffPNN0lvW7bTWGCnR+mMM85Id3OypjfVqUA9ZswYW8BMxZsU9KlImT4vlJGhqVvUm626AcrCQGw0HERZK6px4f0O1OeDsgC+/fZb07ZtW/f2atWqpaml2f+5HSm925uVFCltHMgUjz/+uLnxxhvtsj7D33///az8vU0qOHLe/fffb88QK6jT+NOXXnppl3W8hZ+UQqsCZ6IUlmz8YEgnVQvXB66TOl6nTp10N8lXFNTVrFnT/Pnnn7sUugnWS6LiUHo/O+ujeNRj6lT21RRnBB7xU6D81FNP2WWl1YfKAlDwd/vtt9uea2UMjBs3zn6uIzYq/vbGG2/YlHClgOt7sW7dum5vqjIyHC1btkxjS7OPt2CZt5BZMN6CZeE+34FM8eKLL5r+/fvbZWXBfPzxx1k76w6BNXKek1alOVI1tUsk+gHnnXuSwDqxKBoXP/3odcb6BpueyMu53+m5RvxFy0gDTwyNnXbmXD/wwAPDrtumTRt32amKj+LRZ0GwgE0F5BwHHXRQiluV/SeUo33/eu/PpmrKyE5vv/22rdmgk56q26B6DpEq3/sZqeAAMnY+T3qri0fFyRw6YRTKunXrzF9//WWX1TOF4tG4VCfTRdkCKsKH+HlP9qgXNRzvLAKcJEo8nYBTb7Yo6D700EPT3aSsosJ7zvedd37fcNOe6TN7zz33TEn7gOL49NNPTY8ePeznt2Z+UU91kyZNTDYjsEbOU9qgUg7DXbwFzTSez7mdL7XEUgaAPnhFH74Ee8Vz2mmnucuq+B2K7nOqLB9xxBEpaVs2+uCDD9xU+jPPPJPALkF22203O45avvzyy7DBtTcYUZCCxNL4dmfu6osuusiULFky3U3KukwtTTPp9EhrnvZgdLvTY631yfBCpvriiy/se1RZoVWqVDETJkzIiSEkBNYAUuKdd94J+8NYaZ8KCJ2KqM54HMRuv/32c3tNNbZJZ42L0rjqm2++2S6rENR5552X8nZmC+auTo4SJUqYE0880S6rkGGo+U7/+ecfc91117nXNcYdsVE9i1BUV+TKK690x7pfc801KWxZ7tAxdk5YaPrJolNp6bpuF528c14TINN899139rNbhfY0XPK9994rNFwnm3FaHUBK6AeB0jUVPGv+ZPX2a6oQpSJrPLAqRjppySpCdOmll6a7yb42cuRI28u3Zs0aG2joR9gJJ5xgj/nXX39tK+E7RXJUN4DsgOJRUPfuu+/a5VatWtkCUEicQYMG2fmrVVhSFcI1zldj2FVsUnP/qgdP73WnN1WV7sNVwkdweu926NDB/hhWr5KKIOqYKqvl+eeft+MjlUHwyiuv7DKlH4yZOnWqncnC4XyXiW5XZpxXnz59dtmGTlqoqv3dd99tiyEedthh9oSRsrc0t7gq4s+aNcuuq/WaNWtmck0ijrMUXU+BoOPDDz80S5Ysca83bdrU/ibJFfEe419++cUcd9xx9reH3HHHHbbH2lsEuKhatWrZS1YIAIho8ODBype1l0mTJqW7Ob7UsGFD9xiGu5x22mmBf/75J93NzQqff/55YPfddw95rPPy8gI333xzupvpa48++qh7PIcPH57u5mSljz/+OFCjRo2Inx2dOnUKrF69Ot3N9aUKFSqEPbYtW7YMfPfdd+luZsbq3bt3VN9vziWUnTt3Bvr27Rv2sf369bPr5aJEHedYtqF95pJ4j/HYsWNjerwu+o2dLeixBpASTz/9tB0HqV5UFdTSWVAVz9I8nE4xHPVEqTcbiaGz7HPnzrXzs48fP96OYVeqvSpzduzY0WYRRKq2jOjmrlYK51lnnZXu5mSlzp0723GlGuer8ex6T6s3ROmwtWvXNu3atbNj2zXfMmNOi2f06NHmo48+stksmmpLcymrEJ+GlXTv3t2cffbZplSpUuluZk4Mf9D7XJldTzzxhPnmm2/sd6WmJtL7XOPbKY4IZK48RdfpbgQAAAAAAH5F8TIAAAAAAOJAYA0AAAAAQBwIrAEAAAAAiAOBNQAAAAAAcSCwBgAAAAAgDgTWAAAAAADEgcAaAAAAAIA4EFgDAAAAABAHAmsAAAAAAOJAYA0AAAAAQBwIrAEAAAAAiAOBNQAAAAAAcSCwBgAAAAAgDgTWAAAAAADEgcAaAAAAAIA4EFgDAAAAABAHAmsAAAAAAOJAYA0AAAAAQBwIrAEAAAAAiAOBNQAAAAAAcSCwBgAAAAAgDgTWAAAAAADEgcAaAAAAAIA4EFgDAAAAABAHAmsAAIAU2rJli3nkkUfMcccdZ+rVq2fKlStn8vLy7KVp06bF3u6VV15pt1G+fHnz22+/JbTN2ejPP/80lStXtsfsggsuSHdzAPgcgTUAIKE6duzoBgmxXCZPnpzupgNJp4B3//33N5deeqn56KOPzPLly22g7dB9xfHDDz+Yhx9+2C4PGDDABuzR2rhxo3njjTfMZZddZtq2bWsaNGhgKlSoYMqWLWtq165t23TuueeaUaNGmaVLl8b8OTBkyJCYnovWdx6r7SRLzZo1zTXXXGOXn3rqKTNjxoyk7QtA9stPdwMAAAByQSAQMD179jQLFiyw18uUKWOOPvpoGwSXKlXK3nbMMccUa9sDBw40O3bssAHxf/7zn6ges3nzZhssjxgxwvbeBvPHH3/Yy5w5c8yzzz5rrrjiCnPooYeaG2+80Zx44onG79TLf99995l169aZa6+91kyaNCndTQLgUwTWAICkadeunTnooIOiWrdu3bpJbw+QTuqhnjZtmvt+/+KLL2zvcLy0zQ8++MAuK6W5evXqER/z66+/mlNOOcXMnj17l17c1q1bmxo1atiU8r/++sv2qn/77bc2cBe1+6STTrIB6VVXXWX8rEqVKubiiy82w4cPt1kzn3zyiencuXO6mwXAhwisAQBJc8IJJ8ScBgpkq+eee85dvu666xISVMvdd99t/1fqdP/+/SOuv2jRItO+fXuzatUq93Gnn366bZOCal0vav369ebTTz81Dz30kP3fSSHPBhdddJG55557bEbBsGHDCKwBFAtjrAEAAFLAW0cgUWnUP//8s3nvvffs8pFHHmmaNWsWMf37tNNOc4Nq9Uq/+eab5pVXXjFt2rQJGlRLpUqVTNeuXW2P7vTp082+++5rskXjxo1Np06d7LKen8arA0CsCKwBAACS7Pfff3crdSvdWsFcIowdO9b2tMoZZ5wRcX2lPH/33Xfu9eeff96mhMdCwztU6Ktbt24mW/To0aPQMQWAWBFYAwAylrdquENjQlX1uFWrVma33Xaz96knLZi///7b3HvvvbYgVP369W2V46pVq5p99tnHVmWOtQpwQUGBefrpp+32VC1Z29tzzz1tYDJ+/PigFZGDVTtfsmSJe78eHw2t5zxGj48kUc892Gvw008/2aJPLVq0MBUrVrRTFqly9A033GDH5MZCRaNUQKtLly72OWp7KupVp04dW9jr1ltvNXPnzi30GO3LadOLL74Y9b569+7tPu7qq682yabeZGd/3hoCKhRWtCq+N7CLhQJjR6i/A4dStx988EH3eq9evSI+JpTSpUubli1bmnTQ31RxZh4I1RsvOg7O/S+88IJ7sgIAohYAACCBOnTooF+k9jJ48OC4tuVsx/m60vZKlixZ6HZdTjnllF0e+9BDDwWqVKmyy7reS15eXqBv376BrVu3RmzLihUrAgcffHDY7XXr1i2wbt26Qsdg0qRJu2xr8eLF7v0NGzaM6lhoPecxenw4iXzuRV+DRx99NFCmTJmQ261evXrgm2++ieo5aVvVqlUL207n8sEHH7iPGzVqlHt7586do9rX2rVrA+XLl3cfN3fu3ECyjR8/Pqrnpsutt94a8/Znz57tPr558+YR1x87dmyhfX799deBTPwc0PrOY7WdovQ3Fe1xLXoJp1WrVik5NgCyE8XLAAC+oOJC6r2UJk2a2HRUjQ9V760zVZFDvakPPPCAe10VjlWsSb3MmjN41qxZdhyl4kbNX6s0XY1TLVEieCLXmjVr7BjMH3/80b2tUaNGdpvqXVWP6tdff23HqobaRqok+rl7jRs3zlxyySV2ee+997ZzHpcrV87Mnz/fVqbWNtVTfvLJJ9tjpYrLoWjaJvVUO0qWLGmryGuMsHrX1aurlGWnd9471/PZZ59tp5fSeGEV0tI6kXr+1bO9adMmu6zjoZ77ZNPzV3aATJgwwSxcuNAuH3fccaZp06aF1j3++ONj3v7HH3/sLh9xxBER1/dOJaX3r463H6n33zmukeh96U19D0fH0BlfrWPr1+MDIE3SHdkDALJLsnqs8/PzbS/sm2++uct6W7ZscZfHjBnjPqZy5cqBJ598MrBt27ZdHjNx4sRA3bp13XWHDRsWsh3q2XXWK126tN1HUdOnT3d7lbVOOnqsk/Hcva+Beqpr1qxZqPfYMWXKFLvPaHpg1VPt3W6PHj0CS5cuDbru999/H7jiiisCEyZMKHR779693ccPGjQoEEm7du3c9YO9fsnWunVrd/8zZsxIyDa7d+/ublO9+JE0atTIXb9nz56BZEpmj3W0Zs2aFahQoYK7reuvvz7s+o8//njYLBgACCdP/6QrqAcAZB+NL54yZUpM81hrbG6weay9YyLVo6oeN1U+DkVTAmkKI/UwawzoZ599Zg4++OCQ66tXVdMLqTdUc/8uXbrU9oJ7LViwwDRv3twdc6leW43VDUbrHnjggW7PqKjNOiZe6mFVj6E0bNgwqjHT6pHV3MOyePHiXXpok/Hci74G6p1Xz/x+++0XdJsPP/ywueyyy+yyjpm3h9/xzz//2Oes9ormEH700UdNrDSX8mGHHWaX9bx1TEL1un///fdum1XdesWKFaZChQomVTT/s8aOb9261eTn55sNGzbYYxkvHWONd3d6WCNNE6XMDmcuamV/DBo0yGTS54BD77FvvvnGLnfo0CFonYJIVq5cafe5bNkydwz1G2+8EXac9eeff+5+vujvS+8pAIgWqeAAgKTRj2PnB3I4559/ftDA2kvz7IYLqkWpzQosRfP5hgssRcW3FCQ//vjjNoX5ww8/NKeeemqhdcaMGeMG1fqhHiqolr322sumYt91110m1ZLx3Iu68MILQwbVcu6559rnr+BNAZ8Kk6mwmdcTTzzhBtUKsEeOHGmK49BDD7XFs5SGr5MCCiyVYh2MXkNHz549UxpUy7x582xQ7Rz3RATVek86J1qkXr16YdfXa+EE1aJCdpG8//779hLObbfdZosIJuJzIFF0skiBtBNUH3DAAXYO8XBBtXg/g1TBfefOnXaIAgBEg6rgAABfUEAUiTcIOPPMM6ParjN/rUydOjXsuNRzzjkn4vbCBd7JlIznXlT37t3D3q/eYI1/Dxb4ORTAOy644IK4gkw9Pljw7LVt2zYbVHlP4qSad4yvgrxEWLt2baFx58o6CMc5meGI5uSCeo6VhRDuooA90/Tr18/OtS2qLfD2229H9XxVj8ChkxCxVrgHkNvosQYAJM3gwYPNkCFDErKtNm3aRFznyy+/LNQzqqmxInHmFhanh8uh4FDTezlU9CoS9VqrB2/16tUmlRL93IPZd999I67jDfCCBV1OwCNHHXWUiYd6yK+//nobYL711lu2571ogKlp0HS70/5YUpITRQXjEh1Ya+osr2Bp/EVPeoR7fCZ9Dmhdp1BhrO644w47XZaoCJ7eF5puLhpFj2EqjxEA/yOwBgD4Qs2aNcPer3Gr3l650aNHx7wPjf8t2iuoHk+HxvJGQ+ulMrBOxnMPJlyVb4e3Qvv27dsL3adAW5W8HY0bNzbxqFatmh0ioB5pvU7PPvusTUX38vZkp6O3Olk91kVFKpmjlHyN73bSwZ1hA5EC3KIBsbc+QKbRGGrvuHENj4jlRAplhwDEg1RwAIAvaFqncBQEx8s7BtUJWGPpFXSkegxvMp57MJHGqEZSNB1ZBb3ipXHfodLBNfb6k08+sctKOdc0XdkSWBd9j3lPWITiPTGkcd/ZRFkBGqrhBMe33HKL6dWrV0zbKHoMU/13DMDfCKwBAFmh6I9g9RjrR3Ysl6LVh4sGft5q3+EkI4W0oKAgpc89GYqmIxc9cVEcmntY1bFFcxBrXLBj7Nix7nFTYbZIRbaSQT28Tu+wAttEtUHZA0p1dkQzHtg717X3OPmdKoBr7nTn71O1AIqTSq650x3q3feOuQaASAisAQBZQVWOvYWw9GM7EcGLpq7y9oBGI9J4ZW+6dDQ9xZF6pZPx3JNB6cjezINETWcUrIiZThYosE53Gngyxlc72QPeKde84+VD8Y5p17HPhuBa4+tPOeUU9/mrFoPqCxQnu2L58uWFqqxTERxALAisAQBZwzuectq0aXFvTz/O999/f/f6V199FfExP//8s1ssKxTvFFQa2xxpbKcC+kjVlxP93JPFOw3YxIkTE7JNVWJ3Tiy89NJLtudSKeBOVXKN5Y63UFomjq/2Tn3mzGcdjsaje4u7FXeqs0zSt29f9wRBnTp1bAXwSMNGQvHOu+79uweAaBBYAwCyxkknneQuP/roowkpRuQNyLzTNoXyzDPPRJUS7aQEKwhcsGBB2PVfeeWVtDz3ZDj++OPd5SeffNKd3zkeChadObh1AuLVV18tNN5awVe848Mzrce66MkUb/X6cEMGLr/8cvf6iy++aKum+9Xtt99un4NT/0BBtYLr4vIew3RUjwfgbwTWAICscdFFF9m0aPn2229jGmepMao7d+4MOieut8c6XHC9cOFCc//998fccztu3LiQ6ynFdejQoWl57smgtG1n7Lp6lItW8U5EETP1xDoBo9J5zzvvPJMu3h7rAw88MKHbPuaYY2Kah1yuu+66Qu0466yz7JRUfvPaa6/ZabxEJ02U/h3NlHzhfP7550GPLQBEg8AaAJA1NCbaG9gquFSacKix0erVVdp0//79bWGpYJWVNS91nz59Co3VDTZH9IwZM+yPcRUu847LDuXMM890l++77z7z+uuv77KOAvkOHTrYdPFI20zGc08GTZE1bNgw9/pjjz1mzjjjjJBjhOfOnWsGDBhgPvroo7Db7dixo2nWrJkbzDo94eohj7YXU4XGFKQ5l3AnPKKhIQHOeHud9PCOiU5UKrhT6Xv+/PlmxYoVER+jgmd6r9WqVcvNmOjWrZt9DXRCJlSmg4rAqcCd9wRGuqidem87bdV7XWnu8Vi1apV9r0nt2rXjDtIB5B7msQYAZBUFwYsWLbJpok5q9vPPP2/TcFU9Wr2lqkatQE4BWDRTVSnw/fLLL+04VgVs2sdtt91m2rdvb8f26ge5xnnqh75SkhVQTZkyJew2e/bsaUaMGGHTTzUHswKD1q1b23aq93jOnDluGrHmElYhLmfMcCqfezIomFcFb6WsO6nuCvbatWtnT2Qo+FOFZj1/BbsSzRhp9YYPHDiw0G3pKlpWtLc6WWN21ePsZDSol/6SSy6J+BjNQ633q4p+6f2n961eA100X7yCSlXE1vtFJ4r0ftH7sWjtAL0m3jHbqTJq1Ci3Arja+Mcff5jLLrssqsc+9NBDQW/XsXMCdU3TVaIEfU8AYhQAACCBOnTooF+n9jJ48OC4tuVspzhfVy+//HKgTp06hbYR7nLQQQcFtmzZEnJ7y5cvD7Rt2zbsNk4++eTAunXrCh2DSZMmhdzmokWLAo0bNw65vby8vMBNN90UKCgoCDRs2NC9ffHixSl77rG+BtE+dxk5cmSgcuXKEdun4zBhwoSI+161alWgdOnS7uP22GOPwPbt2wPR0uvh3e8zzzwTiMc999zjbmvAgAGBZFiwYIE9PtqHjn0sNm7cGBg6dGigRo0aUb9XtK8jjjgiMH78+KR9Dmh957HBnlPv3r2jbm/RSyidO3d215kzZ05M7QUAoccaAJCVevToYXvkVCV6woQJ5ptvvrG9oOqxVRGnunXrmhYtWti5fU844QTbUxqO0omVmu30AqsHTz2+u+++u+2NVGrqaaedFlORLPUcajvqgXvjjTdsETP1iGtfapd6H71jsdP13JNFKd5nn322TblWO+fNm+fOx6weU7VRqfBKU3bSvMNRb+vhhx/uVhvXa6L5iKOl18KbWu8tCJdpFcEdOi4nnniieffdd22WhKrSR3OsnIJf119/vS1o9uGHH5pPP/3UTJ8+3aZFq3da6d9KYddxVfuVUaBjoirr2URTj+m5y9FHH2323XffdDcJgA/lKbpOdyMAAMgmGu/rpIJPmjTJXkfyKW1Z42N1AkEnOHSiomnTpjEF+g8++KBdVjr9zTffbPzgiy++MIcddpj7HLJhGq1UUkG34cOH22WN5adwGYDiYAAJAADICi+//LINqkUnM2IJqsXp6VZhr0RVK0+FQw891J3GbPTo0RHnUcf/KOtEBfRE2REE1QCKi8AaAAD4nhLwlFLvuPjii4tdFfqGG25wpwTzC/W4Ku1dvfYqiofoPPDAA3bucxUru+eee9LdHAA+RmANAAB8T9WenTHNmtZKU0jFQin7Cs7r168fVWXtTNOqVStz6aWXusHi8uXL092kjKe6A85JiL59+9ox5ABQXIyxBgAgwRhjnXyaLuqFF16wU5Wp6Jjm5HaowNw555yT1vYBAHILVcEBAIDvqIK4emaL6t69O0E1ACDlCKwBAICvlS1b1k4Zdt5559mpowAASDVSwQEAAAAAiAPFywAAAAAAiAOBNQAAAAAAcSCwBgAAAAAgDgTWAAAAAADEgcAaAAAAAIA4EFgDAAAAABAHAmsAAAAAAOJAYA0AAAAAQBwIrAEAAAAAiAOBNQAAAAAAcSCwBgAAAAAgDgTWAAAAAADEgcAaAAAAAIA4EFgDAAAAABAHAmsAAAAAAOJAYA0AAAAAQBwIrAEAAAAAiAOBNQAAAAAAcSCwBgAAAAAgDgTWAAAAAADEgcAaAAAAAIA4EFgDAAAAABAHAmsAAAAAAOJAYA0AAAAAQBwIrAEAAAAAiAOBNQAAAAAAcSCwBgAAAAAgDgTWAAAAAADEgcAaAAAAAIA4EFgDAAAAAGCK7/8B4OeaX4Fs0YkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1012.5x625.759 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1012.5x625.759 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1012.5x625.759 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 1012.5x625.759 with 1 Axes>,\n",
       " <Axes: title={'center': '$|S_{21}|$'}, xlabel='Frequency, $f$ (GHz)', ylabel='$|S_{21}|$ (dB)'>)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chain_lc = resonator_chain_network_2port(\n",
    "    freq, segments_lc, Ccs, Ctogs=None, cpw_params=cpw, Z0=Z0,\n",
    ")\n",
    "\n",
    "nets = {\"CPW\": chain_cpw, \"Lumped (optimized)\": chain_lc}\n",
    "\n",
    "# The comparison the reduction is judged on: Re/Im of S11, lumped vs CPW.\n",
    "plot_all_models(nets, m=0, n=0, quantity=\"re\", title=r\"$\\mathrm{Re}\\,S_{11}$\")\n",
    "plot_all_models(nets, m=0, n=0, quantity=\"im\", title=r\"$\\mathrm{Im}\\,S_{11}$\")\n",
    "plot_all_models(nets, m=1, n=0, quantity=\"db\", title=r\"$|S_{21}|$\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7623de9f",
   "metadata": {},
   "source": [
    "### 3b. Per-mode frequency agreement\n",
    "\n",
    " between the lumped chain and the CPW ground truth.\n",
    "Now that they are both built, we can find agreement (or lack thereof) between the lumped and CPW chains.\n",
    "\n",
    "To do so, we locate each mode on the coarse grid, then circle-fit both chains on a dense\n",
    "window around it for sub-MHz resolution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8b4dbe07",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T15:23:53.484919Z",
     "iopub.status.busy": "2026-07-19T15:23:53.484533Z",
     "iopub.status.idle": "2026-07-19T15:24:00.774260Z",
     "shell.execute_reply": "2026-07-19T15:24:00.771481Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mode</th>\n",
       "      <th>CPW_GHz</th>\n",
       "      <th>Lumped_GHz</th>\n",
       "      <th>error_MHz</th>\n",
       "      <th>error_%</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>7.335346</td>\n",
       "      <td>7.335350</td>\n",
       "      <td>0.003762</td>\n",
       "      <td>0.000051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>8.369481</td>\n",
       "      <td>8.369993</td>\n",
       "      <td>0.511327</td>\n",
       "      <td>0.006109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>9.705619</td>\n",
       "      <td>9.705852</td>\n",
       "      <td>0.233740</td>\n",
       "      <td>0.002408</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   mode   CPW_GHz  Lumped_GHz  error_MHz   error_%\n",
       "0     1  7.335346    7.335350   0.003762  0.000051\n",
       "1     2  8.369481    8.369993   0.511327  0.006109\n",
       "2     3  9.705619    9.705852   0.233740  0.002408"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "mode_guess = np.sort(resonances_from_s_max(chain_cpw, m=1, n=0))\n",
    "\n",
    "def mode_f0(segments, Ctogs, f_guess):\n",
    "    win = rf.Frequency(f_guess - 0.15e9, f_guess + 0.15e9, 40_001, unit=\"Hz\")\n",
    "    net = resonator_chain_network_2port(win, segments, Ccs, Ctogs=Ctogs,\n",
    "                                        cpw_params=cpw, Z0=Z0)\n",
    "    f0, _ = circle_fit_f0_kappa(net, 0, 0)\n",
    "    return f0\n",
    "\n",
    "rows_cmp = []\n",
    "for j, fg in enumerate(mode_guess, start=1):\n",
    "    f_cpw = mode_f0(segments_cpw, Ctogs, fg)\n",
    "    f_lc = mode_f0(segments_lc, None, fg)\n",
    "    rows_cmp.append({\n",
    "        \"mode\": j,\n",
    "        \"CPW_GHz\": f_cpw / 1e9,\n",
    "        \"Lumped_GHz\": f_lc / 1e9,\n",
    "        \"error_MHz\": (f_lc - f_cpw) / 1e6,\n",
    "        \"error_%\": 100.0 * (f_lc - f_cpw) / f_cpw,\n",
    "    })\n",
    "\n",
    "compare = pd.DataFrame(rows_cmp)\n",
    "compare\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffe2dd5d",
   "metadata": {},
   "source": [
    "\n",
    "For this network, fitting each resonator in isolation with the Optimized\n",
    "LOM and stitching the pieces back together reproduces the full CPW chain\n",
    "closely. The mode frequencies line up and the $S_{11}$ lineshape overlays the\n",
    "ground truth. \n",
    "\n",
    "The main approximation we made was that each subgroup was fit against $50\\,\\Omega$ ports, not against its neighbouring\n",
    "resonators. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb13864f",
   "metadata": {},
   "source": [
    "### 3c. Draw the final LC chain schematic"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a5a65f1",
   "metadata": {},
   "source": [
    "Finally, redraw the network in its lumped form — the **same schematic builder**,\n",
    "now fed `LC` segments, so the CPW lines are replaced by parallel-`LC` tanks\n",
    "showing the fitted $L$ and $C$.\n"
   ]
  },
  {
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   "execution_count": 11,
   "id": "9a6e3945",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-07-19T15:24:00.780386Z",
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     "iopub.status.idle": "2026-07-19T15:24:00.808883Z",
     "shell.execute_reply": "2026-07-19T15:24:00.807390Z"
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       "Schematic(meta={'title': '', 'description': '', 'source': 'simpleLOMs.networks.chain.resonator_chain_network_2port', 'units': {'capacitance': 'F', 'inductance': 'H', 'length': 'm', 'impedance': 'ohm', 'frequency': 'Hz'}}, groups=[{'id': 'res1', 'label': 'resonator 1'}, {'id': 'res2', 'label': 'resonator 2'}, {'id': 'res3', 'label': 'resonator 3'}], components=[Component(id='P1', type='port', label='Port 1', value='50.00 \\\\Omega', ports=['out'], group=None, orient='series', props={'Z0': 50.0}), Component(id='Cc1', type='cap', label='C_{c1}', value='8.00 fF', ports=['a', 'b'], group=None, orient='series', props={'C': 8e-15}), Component(id='LC1', type='lc', label='LC 1', value='L = 640.24 pH\\nC = 721.10 fF', ports=['a', 'gnd'], group='res1', orient='shunt', props={'L': 6.402449689722727e-10, 'C': 7.210973077537339e-13}), Component(id='Cc2', type='cap', label='C_{c2}', value='6.00 fF', ports=['a', 'b'], group=None, orient='series', props={'C': 6e-15}), Component(id='LC2', type='lc', label='LC 2', value='L = 560.36 pH\\nC = 633.29 fF', ports=['a', 'gnd'], group='res2', orient='shunt', props={'L': 5.603621849330044e-10, 'C': 6.33292138423551e-13}), Component(id='Cc3', type='cap', label='C_{c3}', value='6.00 fF', ports=['a', 'b'], group=None, orient='series', props={'C': 6e-15}), Component(id='LC3', type='lc', label='LC 3', value='L = 483.52 pH\\nC = 541.99 fF', ports=['a', 'gnd'], group='res3', orient='shunt', props={'L': 4.835166317342839e-10, 'C': 5.419940935964193e-13}), Component(id='Cc4', type='cap', label='C_{c4}', value='8.00 fF', ports=['a', 'b'], group=None, orient='series', props={'C': 8e-15}), Component(id='P2', type='port', label='Port 2', value='50.00 \\\\Omega', ports=['in'], group=None, orient='series', props={'Z0': 50.0})], nets=[Net(id='n1', ports=['P1.out', 'Cc1.a']), Net(id='n2', ports=['Cc1.b', 'LC1.a']), Net(id='n3', ports=['LC1.gnd', 'GND']), Net(id='n4', ports=['Cc1.b', 'Cc2.a']), Net(id='n5', ports=['Cc2.b', 'LC2.a']), Net(id='n6', ports=['LC2.gnd', 'GND']), Net(id='n7', ports=['Cc2.b', 'Cc3.a']), Net(id='n8', ports=['Cc3.b', 'LC3.a']), Net(id='n9', ports=['LC3.gnd', 'GND']), Net(id='n10', ports=['Cc3.b', 'Cc4.a']), Net(id='n11', ports=['Cc4.b', 'P2.in'])], annotations={'model': 'optimized', 'resonators': 3})"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "schematic_lc = resonator_chain_schematic_2port(\n",
    "    segments_lc, Ccs, Ctogs=None,\n",
    "    cpw_params=cpw, freq=freq, Z0=Z0,\n",
    "    annotations={\"model\": \"optimized\", \"resonators\": len(lengths)},\n",
    ")\n",
    "schematic_lc.save_svg(figdir / \"chain_lc.svg\")\n",
    "schematic_lc.save_html(figdir / \"chain_lc.html\")\n",
    "schematic_lc\n"
   ]
  }
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