{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "431dff96",
   "metadata": {},
   "source": [
    "# Geometry + ellipse physics from input.ctl\n",
    "\n",
    "Este ejemplo crea la geometr\u00eda de falla desde `input.ctl` y luego aplica el modelo el\u00edptico de 7 par\u00e1metros.\n",
    "\n",
    "Salida:\n",
    "- resumen de geometr\u00eda base y rigidez por subfalla,\n",
    "- mapeo el\u00edptico (rupture times + slip f\u00edsico),\n",
    "- c\u00e1lculo de momento total $M_0$ y magnitud $M_w$,\n",
    "- vista en planta (x-y) y secci\u00f3n x-z."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8ef9823d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import sys\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def find_project_root(start: Path) -> Path:\n",
    "    for p in [start, *start.parents]:\n",
    "        if (p / 'kdellipspy').exists():\n",
    "            return p\n",
    "    raise FileNotFoundError('No se encontro PROJECT_ROOT con carpeta kdellipspy.')\n",
    "\n",
    "PROJECT_ROOT = find_project_root(Path.cwd().resolve())\n",
    "KIN_ROOT = PROJECT_ROOT / 'Kinematic_inversion'\n",
    "INPUT_CTL = KIN_ROOT / 'input.ctl'\n",
    "\n",
    "if not INPUT_CTL.exists():\n",
    "    raise FileNotFoundError(f'No se encontro input.ctl en {INPUT_CTL}')\n",
    "\n",
    "if str(PROJECT_ROOT) not in sys.path:\n",
    "    sys.path.insert(0, str(PROJECT_ROOT))\n",
    "\n",
    "from kdellipspy import AxitraForwardModel\n",
    "\n",
    "# Compatibilidad con celdas existentes\n",
    "root = KIN_ROOT\n",
    "input_ctl = INPUT_CTL\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0b644347",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input: [PROJECT_ROOT]/Kinematic_inversion/input.ctl\n",
      "Fault size [m]: Lx=40000.0, Ly=40000.0\n",
      "Subfault grid: 10 x 10 = 100\n",
      "Strike/Dip [deg]: 72.0/47.0\n",
      "Source depth [km]: 75.00\n",
      "Area subfault [m2]: min=1.600e+07, max=1.600e+07\n",
      "Rigidity mu [Pa]: min=7.607e+10, max=7.768e+10\n",
      "Rupture velocity (model) [km/s]: 2.000\n",
      "M0 total [N.m]: 1.562353e+19\n",
      "Mw total: 6.7292\n"
     ]
    }
   ],
   "source": [
    "input_ctl = root / 'input.ctl'\n",
    "\n",
    "fm = AxitraForwardModel(str(input_ctl))\n",
    "cfg = fm.cfg\n",
    "\n",
    "geom_base = fm.build_geometry()\n",
    "midpoint_model = np.array([\n",
    "    0.5 * (float(p.min_val) + float(p.max_val))\n",
    "    for p in cfg.inversion_params.parameters\n",
    "], dtype=float)\n",
    "\n",
    "if midpoint_model.size != 7:\n",
    "    raise ValueError(f'Se esperaban 7 parametros, pero hay {midpoint_model.size}.')\n",
    "\n",
    "geom = fm.build_geometry_with_ellipse_slip(midpoint_model)\n",
    "m0_total, mw_total = fm.estimate_total_moment_and_mw(midpoint_model, geometry=geom)\n",
    "\n",
    "mu_values = np.array([sf.mu_pa for sf in geom_base.subfaults], dtype=float)\n",
    "area_values = np.array([sf.area_m2 for sf in geom_base.subfaults], dtype=float)\n",
    "\n",
    "print('Input:', input_ctl)\n",
    "print(f'Fault size [m]: Lx={geom_base.length_strike_m:.1f}, Ly={geom_base.length_dip_m:.1f}')\n",
    "print(f'Subfault grid: {geom_base.nx} x {geom_base.ny} = {geom_base.nsubfaults}')\n",
    "print(f'Strike/Dip [deg]: {geom_base.strike_deg:.1f}/{geom_base.dip_deg:.1f}')\n",
    "print(f'Source depth [km]: {geom_base.source_depth_m/1000.0:.2f}')\n",
    "print(f'Area subfault [m2]: min={area_values.min():.3e}, max={area_values.max():.3e}')\n",
    "print(f'Rigidity mu [Pa]: min={mu_values.min():.3e}, max={mu_values.max():.3e}')\n",
    "print(f'Rupture velocity (model) [km/s]: {geom.rupture_velocity_km_s:.3f}')\n",
    "print(f'M0 total [N.m]: {m0_total:.6e}')\n",
    "print(f'Mw total: {mw_total:.4f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "31f3882f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array([s.x_m for s in geom.subfaults]) / 1000.0\n",
    "y = np.array([s.y_m for s in geom.subfaults]) / 1000.0\n",
    "z = np.array([s.z_m for s in geom.subfaults]) / 1000.0\n",
    "tr = np.array([s.rupture_time_s for s in geom.subfaults])\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(14, 5))\n",
    "\n",
    "# Planta XY\n",
    "sc1 = ax[0].scatter(x, y, c=tr, cmap='viridis', s=40)\n",
    "ax[0].set_title('Fault geometry in local XY (ellipse-mapped)')\n",
    "ax[0].set_xlabel('X (km)')\n",
    "ax[0].set_ylabel('Y (km)')\n",
    "ax[0].set_aspect('equal')\n",
    "ax[0].grid(True, alpha=0.3)\n",
    "fig.colorbar(sc1, ax=ax[0], label='Rupture time (s)')\n",
    "\n",
    "# Seccion XZ\n",
    "sc2 = ax[1].scatter(x, -z, c=tr, cmap='magma', s=40)\n",
    "ax[1].set_title('Cross-section X-Z')\n",
    "ax[1].set_xlabel('X (km)')\n",
    "ax[1].set_ylabel('Depth (km)')\n",
    "ax[1].grid(True, alpha=0.3)\n",
    "fig.colorbar(sc2, ax=ax[1], label='Rupture time (s)')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "39f186ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/DiGEQQ7j4+OhVquL9F57eXlhyZIlWLJkCWJjY7F9+3ZMnjwZ8fHx2LNnT4HrZWZmIi0tDY6OjiY5Dm9vb2g0GsTFxeVb7D948CDu3r2Lw4cP67tsASA5OblQMT3rl19+wcqVKzFt2jR06NABy5YtQ+/evbF06VK8//77Rd5uYmIigOL7viQiIiIiIiqrOFUCUQkmSVKuYuKuXbtyfUS5cuXKAIDz588bLM951/qCPNvBWJCQkBA8evRI/xFwnU2bNhk8r1mzJqpXr45z586hSZMmeT50H4Fv06aNvniV07fffgsHBwc0b97cqNiep0uXLhBC4M6dO3nGk7NwWpicPOv999/Hrl27EB4eDl9fX/Tq1atY4jdWQkICMjMz83ztypUrAP7t2tWdX88eq64Y+ez5t2rVqlzbzG8beWnTpg0eP36Mbdu2GSz/9ttv9a+/iEqVKmHMmDFo27Ytzpw5U+DYWrVqAci+CVthGXscHTt2BACsWLEi320VJtfGSk1NxeDBg9GgQQNMnToVANCrVy/07NkT4eHhRTpmnb///htA/jegIyIiIiIiIuOw45aoBOvSpQuioqJQq1YtBAUF4fTp01iwYAEqVKhgMO7ll19GzZo1MWHCBKjVari7u2Pr1q04duyYUfupX78+Dh8+jB07dqBcuXJwdnbWd8M+a+DAgVi8eDHeeecdzJo1C9WqVcPu3buxd+9eAIBM9u/fi1atWoWOHTuiffv2CAsLQ/ny5ZGYmIjLly/jzJkz+PHHHwEAERER2LlzJ0JDQ/HJJ5/Aw8MD33//PXbt2oXIyEi4uroWJX25tGzZEu+++y4GDRqEP/74A//5z3/g6OiIe/fu4dixY6hfvz5Gjhypz8mWLVuwYsUKNG7cGDKZzOjO13feeQfh4eE4cuQIpk6dWuDHzk3h0KFD+OCDD9CvXz+0aNECnp6eiI+Px8aNG7Fnzx4MGDBAfw7Vq1cPALB69Wo4OzvDzs4OgYGBqFWrFqpWrYrJkydDCAEPDw/s2LED+/fvz7U/XcH7888/x8CBA2Fra4uaNWsazE2rM2DAACxbtgwDBw7EzZs3Ub9+fRw7dgxz5sxBp06d8NprrxXqWFNSUhAaGoq+ffuiVq1acHZ2xqlTp7Bnz558O711WrVqBQA4ceIEgoKCcr1+/fp1/PTTT7mW16lTx+jjePXVV9G/f3/MmjUL9+/fR5cuXaBUKnH27Fk4ODjgvffeQ4sWLeDu7o4RI0YgIiICtra2+P7773Hu3LlC5SKncePGIS4uDjt27DCYi3n58uWoW7fuc6dMKMiJEyfg6emZq0OciIiIiIiICsmSd0YjooKtXbtWABCnTp3K8/WkpCQxZMgQ4ePjIxwcHMQrr7wijh49KkJCQkRISIjB2KtXr4p27doJFxcX4e3tLd577z2xa9cuAUAcOnRIP27gwIEiICDAYN0///xTtGzZUjg4OAgAubb9rNjYWPHGG28IJycn4ezsLN58803xf//3fwKA+O9//2sw9ty5c6J3797Cx8dH2NraCj8/P9G6dWuxcuVKg3EXLlwQXbt2Fa6urkKhUIgGDRqItWvXGow5dOiQACB+/PFHo/IYEREhAIgHDx4YLP/mm29Es2bNhKOjo7C3txdVq1YVAwYMEH/88Yd+TGJioujZs6dwc3MTkiQJ3Y/TGzduCABiwYIFBeYoLCxM2NjYiH/++afAcQXRHVdh3b59W0ydOlW0bNlS+Pn5CRsbG+Hs7CyaNWsmli5dKtRqtcH4JUuWiMDAQCGXywUAfd4vXbok2rZtK5ydnYW7u7vo1auXiI2NFQBERESEwTbCw8OFv7+/kMlkBudcXudqQkKCGDFihChXrpywsbERAQEBIjw8XGRkZBiMAyBGjx6d6/gCAgLEwIEDhRBCZGRkiBEjRoigoCDh4uIi7O3tRc2aNUVERIRIS0t7bq5effVV0alTp1zLAeT70B27sceh0WjE4sWLRb169YRCoRCurq4iODhY7NixQz8mOjpaBAcHCwcHB+Ht7S2GDh0qzpw5Y/B+CPHvOV0Q3ffi7Nmz83z9hx9+EADE559/nuu1/L5ndLRarQgICBDvvfdegTEQERERERHR80lCPL21ORGRCc2ZMwdTp05FbGxsro7gsiYzMxOVK1fGK6+8gh9++MHS4VABfv75Z7z11lu4desWypcvb+lwrN4vv/yCdu3a4X//+59+qgkiIiIiIiIqGhZuiajYffnllwCy5wjNysrCwYMH8cUXX+Ctt97Sz/FZFj148AAxMTFYu3YtoqKicOrUKTRq1MjSYVEBhBBo0aIFGjdurD+vKX+hoaGoVq0avvrqK0uHQkREREREVOJxjlsiKnYODg5YvHgxbt68CZVKhUqVKuGjjz7S3wSprNq1axcGDRqEcuXKYfny5SzalgCSJOGrr77C9u3bodVqDeZoJkNJSUkICQnBqFGjLB0KERERERFRqcCOWyIiIiIiIiIiIiIrw9YhIiIiIiIiIiIiIivDwi0RERERERERERGRleEct0Wg1Wpx9+5dODs7Q5IkS4dDREREVGYJIfDo0SP4+/tzHmoiIiIiKlVYuC2Cu3fvomLFipYOg4iIiIieun37NipUqGDpMIiIiIiIig0Lt0Xg7OwMIPsXBBcXF2i1Wjx48ADe3t7s9DAD5tt8mGvzYr7Nh7k2L+bbfMpirlNTU1GxYkX99RkRERERUWnBwm0R6KZHcHFx0RduMzIy4OLiUmZ+SbIk5tt8mGvzYr7Nh7k2L+bbfJ7NtSo1FVc2bkTtvn2hKOWFTU5fRURERESlDX97IiIiIiqlDowahf0jRuDAqFGWDoWIiIiIiAqJhVsiIiKiUijhyhVc2bgRAHB5wwYkxsRYOCIiIiIiIioMFm6JiIiISqETs2ZBaLUAAKHV4sSsWRaOiIiIiIiICoNz3JqIRqNBVlaWpcMolbRaLbKyspCRkWGyuRJtbW0hl8tNsm0iIiJTS8zRbdsOwD5kd902nzoVHjVrWjQ2IiIiIiIyDgu3xUwIgbi4OCQnJ1s6lFJLCAGtVotHjx6Z9EYkbm5u8PPz481OiIioxDkxezaEVouqAIIAXAdw/WnXbafvvrNwdEREREREZAwWbouZrmjr4+MDBwcHFv1MQAgBtVoNGxsbk+RXCIH09HTEx8cDAMqVK1fs+yAiIjKVlGvXELNpEwCgxdNlwcgu3rLrloiIiIio5GDhthhpNBp90dbT09PS4ZRapi7cAoC9vT0AID4+Hj4+Ppw2gYiISowLS5bou219ny7zA1AV7LolIiIiIipJeHOyYqSb09bBwcHCkVBx0L2PnKuYiIhKisSYGNzatg3Av922OsFPv17esAGJV6+aMywiIiIiIioCFm5NgNMjlA58H4mIqKT5Pcfctr7PvKbruhVPu26JiIiIiMi6sXBLREREVAokxsTgysaNAHJ32+rou26//55dt0REREREVo6FWyIiIqJS4MSsWfl22+qw65aIiIiIqORg4ZaKzeHDhyFJEpKTkwsct23bNlSrVg1yuRxjx44ttv1LkoRtT+f1IyIiKksSY2JwecMGAPl32+qw65aIiIiIqGQoUYXbI0eOoGvXrvD398+zSCeEwPTp0+Hv7w97e3u0atUK//vf/wzGqFQqvPfee/Dy8oKjoyO6deuGf/75x4xHYb3i4+MxfPhwVKpUCUqlEn5+fmjfvj2OHz9erPsZPnw4evbsidu3b+PTTz8t1m3r3Lx5E5Ik4c8//zTJ9omIiKyJMd22Ouy6JSIiIiIqGUpU4TYtLQ0NGjTAl19+mefrkZGRWLRoEb788kucOnUKfn5+aNu2LR49eqQfM3bsWGzduhWbNm3CsWPH8PjxY3Tp0gUajcZch/FcGq3AvccZOHc/Bb/fTcK5+ym49zgDGq0w6X7ffPNNnDt3DuvWrcPVq1exfft2tGrVComJicW2j8ePHyM+Ph7t27eHv78/nJ2di23bREREZVHObtssAPuMeGQ9XZddt0RERERE1qtEFW47duyIWbNm4Y033sj1mhACS5YswZQpU/DGG2+gXr16WLduHdLT07Hh6S8zKSkp+Prrr/HZZ5/htddeQ8OGDbF+/XpcuHABBw4cMPfh5EmjFbia+BhXEx8jRaWGRiuQolLrl5mqeJucnIxjx45h/vz5CA0NRUBAAJo2bYrw8HB07tw5zw7W5ORkSJKEw4cPG2zrt99+Q4MGDWBnZ4dmzZrhwoULALKnUtAValu3bq1fNyEhAX369EGFChXg4OCA+vXrY+PTm6voVK5cGUuWLDFY1rBhQ0yfPj3P4wkMDNSPkSQJrVq10sfQtGlTODo6ws3NDS1btsStW7eKljQiIiIrcPvwYQitFgAQC+C8EY/Yp+sKrRa3n/l/nIiIiIiIrIONpQMoLjdu3EBcXBzatWunX6ZUKhESEoLo6GgMHz4cp0+fRlZWlsEYf39/1KtXD9HR0Wjfvn2e21apVFCpVPrnqampAACtVqt/CCH0X3WPoohPy0B8mgr2tjLYyP6tq6u1WsSnq+CmtIGfk12Rtl0QR0dHODk5YevWrWjWrBmUSqXB67rjyXlszy7TPZ84cSKWLFkCPz8/TJkyBd26dUNMTAyCg4Nx5coV1KpVCz/99BNatGgBDw8PPHjwAI0aNcKkSZPg4uKCXbt2oX///ggMDESzZs0MYshv38+O+f3339GsWTPs378fdevWhUKhQFZWFnr06IGhQ4diw4YNyMzMxMmTJw229+wx695X7dNfiMuanOc2mR7zbT7MtXkx36ZVs08fZGVkIDM1FUIIpKWlwdHREZIkPXddhYsLar79dol+b0py7EREREREBSk1hdu4uDgAgK+v4cxuvr6++o7KuLg4KBQKuLu75xqjWz8vc+fOxYwZM3Itf/DgATIyMqDVapGSkoKsrCxotVqo1Wqo1eqiHcfjDACADBK0ObprZZAAkf26l51p3rY1a9Zg5MiRWLVqFRo2bIhXX30VvXv3RlBQkP54ch6b7qtGo4FardZPNzFlyhSEhobqtxkYGIiffvoJvXr1goeHBwDA1dUVXl5eALLzn/MmZSNHjsSePXvwww8/oHHjxvrlutwKIaDRaPRFgJy51sWie49z7icxMREpKSno2LEjAgICAADVq1c3OJac1Go1tFotEhISYGtr+yKpLbF057YQAjJZiWrQL5GYb/Nhrs2L+Ta9Cm+9BeDfXLu6uhqd6+T0dCA93ZThmVTOKbGIiIiIiEqTUlO41Xm2u0QI8dyOk+eNCQ8Px/jx4/XPU1NTUbFiRXh7e8PFxQVarRaSJMHZ2RmPHz+GjY0NbGyKltpMrYCtXIJMljseW7mETK0o8rafp3fv3ujWrRuOHj2K48ePY+/evfjss8/w1Vdf6acayHlsuq9yuRw2NjaQy+UAgFdeeUX/mo+PD2rWrImrV68arKtbB8guts6bNw8//PAD7ty5o+9wdnJyMjhWmUxm8FySpFzLdNvNGWPOWMLCwtC5c2e0bdsWbdq0Qe/evVGuXLk882FjYwOZTAZPT0/Y2RV/l3NJoDu3vb29WWwxA+bbfJhr82K+zacs5rqs/h9NRERERKVfqSnc+vn5Acjuqs1ZiIuPj9d34fr5+SEzMxNJSUkGXbfx8fFo0aJFvttWKpW5pg4AsguJul+KdEVESZL0j6Kws5EjRaUGkHt9tRZwVMqLvG1j2Nvbo127dmjXrh0iIiIwdOhQTJ8+HUePHtWP0e1f16X67DHndfw5c/PsmEWLFmHJkiVYsmQJ6tevD0dHR4wdOxaZmZn6MTnzrCu0Z2Vl5drX82JZu3Yt3n//fX1H77Rp07B//340b948Vy506+Z8n8si5sC8mG/zYa7Ni/k2n7KW67JynERERERU9pSaK93AwED4+flh//79+mWZmZn49ddf9UXZxo0bw9bW1mDMvXv3cPHixQILt+bk46iEgID6mfna1FotBAR8HHMXkE2pTp06SEtLg7e3N4DsfOnkvFFZTidOnND/OykpCVevXkWtWrXy3cfRo0fRvXt3vPPOO2jQoAGqVKmCa9euGYzx9vY22Hdqaipu3LiR7zYVCgUA6KdvyKlhw4YIDw9HdHQ06tWrp795HRERERERERERkbUoUR23jx8/xl9//aV/fuPGDfz555/w8PBApUqVMHbsWMyZMwfVq1dH9erVMWfOHDg4OKBv374Asuc7HTJkCD788EN4enrCw8MDEyZMQP369fHaa69Z6rAM+DgokZyRhfh0FSRoYSOToNaK7KKtgxI+DqYp3CYkJKBXr14YPHgwgoKC4OzsjD/++AORkZHo3r077O3t0bx5c8ybNw+VK1fGw4cPMXXq1Dy3NXPmTHh6esLX1xdTpkyBl5cXevToke++q1Wrhp9//hnR0dFwd3fHokWLEBcXh9q1a+vHtG7dGlFRUejatSvc3NwwdepU/dQMefHx8YG9vT327NmDChUqwM7ODomJiVi9ejW6desGf39/xMTE4OrVqxgwYECR80ZERERERERERGQKJapw+8cff+hvegVAP+/swIEDERUVhUmTJuHJkycYNWoUkpKS0KxZM+zbtw/Ozs76dRYvXgwbGxv07t0bT548QZs2bRAVFVVgEdCc5DIJNTyc4GZni/g0FTI0WjjayuHjmF20lecx921xcHJyQrNmzbB48WJcv34dWVlZqFixIoYNG4aPP/4YAPDNN99g8ODBaNKkCWrWrInIyEi0a9cu17bmzZuHDz74ANeuXUODBg2wfft2fQdsXqZNm4YbN26gffv2cHBwwLvvvosePXogJSVFPyY8PBx///03unTpAldXV0REROhvOpcXGxsbfPHFF5g5cyY++eQTvPrqq9i8eTOuXLmCdevWISEhAeXKlcOYMWMwfPjwF8gcERERERERERFR8ZOEEMLSQZQ0qampcHV1RUpKiv7mZPHx8XBxccGtW7cQGBjIG2WYkBACarUaNjY2Jp3vNyMjAzdu3CjT76fu3Pbx8eEcgmbAfJsPc21ezLf5lMVcP3tdRkRERERUWpSNK3oiIiIiIiIiIiKiEoSFWyIiIiIiIiIiIiIrw8ItERERERERERERkZVh4ZaIiKgUU6Wm4tyqVch89MjSoRAREREREVEhsHBLRERUih0YNQr7R4zAgVGjLB0KERERERERFQILt0RERKVUwpUruLJxIwDg8oYNSIyJsXBEREREREREZCwWbomIiEqpE7NmQWi1AACh1eLErFkWjoiIiIiIiIiMxcKtFeO8hEREVFQ5u23bPV3GrlsiIiIiIqKSg4VbK8Z5CYmIqKh03bZVAQQBqAp23RIREREREZUkLNxaqdI+L2FUVBTc3NwsHQYRUamU8/+QFk+XBT/9Whr/TyEiIiIiIiqNWLi1UpaYlzA+Ph7Dhw9HpUqVoFQq4efnh/bt2+P48eMAAEmSsG3btkJvt3LlyliyZInBsrfeegtXr14thqiJiOhZObttfZ8u8wO7bomIiIiIiEoSFm6tkKXmJXzzzTdx7tw5rFu3DlevXsX27dvRqlUrJCYmFvu+7O3t4ePjU+zbJSIq6xJjYnJ12+oYdN3yj2dERERERERWjYVbK2SJeQmTk5Nx7NgxzJ8/H6GhoQgICEDTpk0RHh6Ozp07o3LlygCA119/HZIk6Z9fv34d3bt3h6+vL5ycnPDyyy/jwIED+u22atUKt27dwrhx4yBJEiRJApD3VAkrVqxA1apVoVAoULNmTXz33XcGr0uShDVr1uCNN96Aq6sratSoge3bt+tfT0pKQr9+/eDt7Q17e3tUr14da9euLf5kERFZsby6bXXYdUtERERERFRysHBrZSw1L6GTkxOcnJywbds2qFSqXK+fOnUKALB27Vrcu3dP//zx48fo1KkTDhw4gLNnz6J9+/bo2rUrYmNjAQBbtmxBhQoVMHPmTNy7dw/37t3Lc/9bt27FBx98gA8//BAXL17E8OHDMWjQIBw6dMhg3IwZM9CrVy+cPn0aHTt2RL9+/fQdwdOmTcOlS5ewe/duXL58GStWrICXl1ex5YiIyNolxsTg8oYNAHJ32+ro/0/5/nt23RIREREREVkxFm6tjKXmJbSxsUFUVBTWrVsHNzc3tGzZEh9//DHOnz8PAPD29gYAuLm5wc/PT/+8QYMGGD58OOrXr4/q1atj1qxZqFKlir4T1sPDA3K5HM7OzvDz84Ofn1+e+1+4cCHCwsIwatQo1KhRA+PHj8cbb7yBhQsXGowLCwtDnz59UK1aNcyZMwdpaWk4efIkACA2NhYNGzZEkyZNULlyZbz22mvo2rWrSfJFRGSNCuq21WHXLRERWYPz589j0KBBCAwMhJ2dHZycnNCoUSNERkaaZKq20iI6OhrTp09HcnJyrtdatWqFVq1amT2mb7/9FpIkYfXq1blei46Ohlwux4QJE/Jd/+bNm/pPZxb0iIqKem4sycnJ8PLywqZNm/TLpk+fDkmS8PDhwyIdnylJkoTp06cbNTY1NRWzZ89GkyZN4OLiAqVSicqVK2Pw4ME4c+ZMscZ16dIlTJ8+HTdv3izW7T4rLCxM/2leU7l69SoUCkWx54jIXFi4tSKWnpfwzTffxN27d7F9+3a0b98ehw8fRqNGjQr8DzItLQ2TJk1CnTp14ObmBicnJ1y5ckXfcWusy5cvo2XLlgbLWrZsicuXLxssCwoK0v/b0dERzs7OiI+PBwCMHDkSmzZtwksvvYRJkyYhOjq6UDEQEZVkxnTb6rDrloiILOmrr75C48aNcerUKUycOBF79uzB1q1b0atXL6xcuRJDhgyxdIhWKzo6GjNmzMizcLt8+XIsX77c7DENGDAA3bt3x4cffmhQ6EtLS8PAgQNRo0YNzCrgj8XlypXD8ePH83zs27cP7u7ucHd3R0hIyHNjmTFjBvz9/fHWW28Vx6FZjevXr6Nhw4aYN28eQkNDsXHjRuzbtw8zZszA/fv30bhxY6SkpBTb/i5duoQZM2aYvHA7bdo0bN261aT7qFGjBvr164dx48aZdD9EpmJj6QDoX8bMS3j9aYdUp2+/NUkMdnZ2aNu2Ldq2bYtPPvkEQ4cORUREBMLCwvIcP3HiROzduxcLFy5EtWrVYG9vj549eyIzM7PQ+9bNf6sjhMi1zNbWNtc6Wq0WANCxY0fcunULu3btwoEDB9CmTRuMHj06V9cuEVFpZEy3rY65/k8hIiJ61vHjxzFy5Ei0bdsW27Ztg1Kp1L/Wtm1bfPjhh9izZ0+B23jy5Ans7e1NHWqJU6dOHYvte9WqVahbty4GDRqEgwcPQpIkTJw4ETdu3EB0dDTs7OzyXVepVKJ58+a5lgsh8PrrryMlJQW7du1CYGBggTEkJiZi1apVWLx4ca7fI0syjUaD119/HQ8fPsTx48dRr149/WshISEYOHAgdu/enet35aLIysoya+6qVq1qlv2MGTMGTZo0QXR0NFq0eF6LA5F1YcetlbDWeQnr1KmDtLQ0ANlFU41GY/D60aNHERYWhtdffx3169eHn59frr/KKRSKXOs9q3bt2jh27JjBsujoaNSuXbtQ8Xp7eyMsLAzr16/HkiVL8vy4DhFRaZPz/5AsAPuMeGQ9XZddt0REZE5z5szRf6w+Z9FWR6FQoFu3bvrnlStXRpcuXbBlyxY0bNgQdnZ2mDFjBgDg4sWL6N69O9zd3WFnZ4eXXnoJ69atM9ieVqvFrFmzULNmTdjb28PNzQ1BQUH4/PPP9WMePHiAd999FxUrVoRSqYS3tzdatmxpcNPl/Pz99994++234e/vD6VSCV9fX7Rp0wZ//vmnwbjNmzcjODgYjo6OcHJyQvv27XH27Nlc2/v999/RtWtXeHp6ws7ODlWrVsXYsWMBZH/kf+LEiQCAwMBA/RQChw8fBpD3VAmJiYkYNWoUypcvD4VCgSpVqmDKlCm57msiSRLGjBmD7777DrVr14aDgwMaNGiAnTt3PjcHAODr64vly5fj8OHDWLp0Kfbv348VK1Zg8uTJaNq0qVHbeNann36K//73v5gxYwY6dOjw3PFRUVFQq9VF7rbdvn07goOD4eDgAGdnZ7Rt2xbHjx/PNe7KlSvo06cPfH19oVQqUalSJQwYMECf0wcPHmDUqFGoU6cOnJyc4OPjg9atW+Po0aNFimvbtm24cOECwsPDDYq2OXXs2BEODg4AgL/++guDBg1C9erV4eDggPLly6Nr1664cOGCwTqHDx+GJEn47rvv8OGHH6J8+fJQKpVYs2YNevXqBQAIDQ3Nc6oKXaOUi4sLHBwc0LJlS/zyyy8G2zfm+yqvqRKWLVuG//znP/Dx8YGjoyPq16+PyMhIZGVlGYxr1aoV6tWrh1OnTuHVV1+Fg4MDqlSpgnnz5umbu3QaN26M2rVrY+XKlc9POJGVYcetlSjMvISm6JBKSEhAr169MHjwYAQFBcHZ2Rl//PEHIiMj0b17dwDZF02//PILWrZsCaVSCXd3d1SrVg1btmxB165dIUkSpk2bluuHZOXKlXHkyBG8/fbbUCqVed4wbOLEiejduzcaNWqENm3aYMeOHdiyZYtRF0s6n3zyCRo3boy6detCpVJh586dhS78EhGVRLcPH4Z4+rM39unDWEKrxe3Dh+FRo4ZJYiMiItLRaDQ4ePAgGjdujIoVKxq93pkzZ3D58mVMnToVgYGBcHR0RExMDFq0aAEfHx988cUX8PT0xPr16xEWFob79+9j0qRJAIDIyEhMnz4dU6dOxX/+8x9kZWXhypUrBlMN9O/fH2fOnMHs2bNRo0YNJCcn48yZM0hISHhubJ06dYJGo0FkZCQqVaqEhw8fIjo62mD7c+bMwdSpUzFo0CBMnToVmZmZWLBgAV599VWcPHlS3ym7d+9edO3aFbVr18aiRYtQqVIl3Lx5E/v27QMADB06FImJiVi6dCm2bNmCcuXKAci/0zYjIwOhoaG4fv06ZsyYgaCgIBw9ehRz587Fn3/+iV27dhmM37VrF06dOoWZM2fCyckJkZGReP311xETE4MqVao8Nxe9e/fGzz//jPDwcLi6uiIoKAiffPLJc9fLy//93/9hxowZ6N69O6ZMmWLUOrt27ULDhg3h5uZW6P1t2LAB/fr1Q7t27bBx40aoVCpERkaiVatW+OWXX/DKK68AAM6dO4dXXnkFXl5emDlzJqpXr4579+5h+/btyMzMhFKp1M/RHBERAT8/Pzx+/Bhbt27Vb6uw8xDr3v8ePXoYNf7u3bvw9PTEvHnz4O3tjcTERKxbtw7NmjXD2bNnUbNmTYPx4eHhCA4OxsqVKyGTydCkSRMkJSXh448/xrJly9CoUSMA/3bHrl+/Xj89xrp162Bra4tVq1ahffv22Lt3L9q0aQOg6N9X169fR9++fREYGAiFQoFz585h9uzZuHLlCr755huDsXFxcejXrx8+/PBDREREYOvWrQgPD4e/vz8GDBhgMLZVq1b48ccf8/xkL5FVE1RoKSkpAoBISUkRQgih0WjEvXv3RFpamrh06ZJ48uRJobaXcOWKWCiTiQWAiAOEKOBxDxALALFQJhMJMTHFdkwZGRli8uTJolGjRsLV1VU4ODiImjVriqlTp4r09HQhhBDbt28X1apVEzY2NiIgIEAIIcSNGzdEaGiosLe3FxUrVhRffvmlCAkJER988IF+28ePHxdBQUFCqVQK3Sm3du1a4erqahDD8uXLRZUqVYStra2oUaOG+Pbbbw1eByC2bt0qtFqtyMzMFFqtVri6uoq1a9cKIYT49NNPRe3atYW9vb3w8PAQ3bt3F3///XeRc/LkyZMivZ+lie7c1mg0lg6lTGC+zae05Vr16JE4/fnnIvrTTwv9OP3550L16JFJ4ytt+bZmZTHXz16XEZH1iouLEwDE22+/bfQ6AQEBQi6Xi5hnfvd5++23hVKpFLGxsQbLO3bsKBwcHERycrIQQoguXbqIl156qcB9ODk5ibFjxxodk87Dhw8FALFkyZJ8x8TGxgobGxvx3nvvGSx/9OiR8PPzE71799Yvq1q1qqhatWqBv38sWLBAABA3btzI9VpISIgICQnRP1+5cqUAIH744QeDcfPnzxcAxL59+/TLAAhfX1+RmpqqXxYXFydkMpmYO3duvvE8659//hEymUwAEH/88YfR6+V07do14ebmJmrUqFGon+0ODg5ixIgRuZZHREQIAOLBgwd5rqfRaIS/v7+oX7++wf+fjx49Ej4+PqJFixb6Za1btxZubm4iPj7e6LjUarXIysoSbdq0Ea+//rrBawBEREREget36NBBABAZGRlG7/PZ/WdmZorq1auLcePG6ZcfOnRIABD/+c9/cq3z448/CgDi0KFDBsvT0tKEh4eH6Nq1q8FyjUYjGjRoIJo2bapfZsz31cCBA/W1hbxoNBqRlZUlvv32WyGXy0ViYqL+tZCQEAFA/P777wbr1KlTR7Rv3z7Xtr766isBQFy+fLnAmIisDTturYA1zEuoVCoxd+5czJ07N98xXbt2RdeuXQ2WVa5cGQcPHjRYNnr0aIPnzZs3x7lz5wyWhYWF5Zo3d+TIkRg5cmS++xdCGHwFYPCX7KlTp2Lq1Kn5rk9EVFopnJzQ6P33LR0GERGRSQQFBaHGM58MOXjwINq0aZOrczcsLAy7d+/G8ePH0aFDBzRt2hS7du3CqFGj0L17dwQHB8PFxcVgnaZNmyIqKgqenp547bXX0LhxY4P5QoUQuaZ+s7GxgYeHB6pWrYoFCxZAo9EgNDQUDRo0gEz274yEe/fuhVqtxoABA6BWq/XL7ezsEBISgkOHDgHIvvP99evXMWfOnALngy2MgwcPwtHRET179syVo48++gi//PIL2rZtq18eGhoKZ2dn/XNfX1/4+Pjg1q1bRu/ziy++0P++tn//fjRu3Fj/Wn55zOnx48fo0aMH1Go1tm7dmuu9yk9ycjLS09Ph4+NjdKw6MTExuHv3LsaOHWvw3jk5OeHNN9/EqlWrkJ6eDgD49ddfMWTIEHh7exe4zZUrV2L16tW4dOmSwbQUtWrVKnR8haVWqxEZGYn169fjr7/+Mphi4NmbfwPZNyk3VnR0NBITEzFw4ECD8xkAOnTogMjISKSlpcHR0fG531f5OXv2LCIiIvDbb7/pu5d1rl69imbNmumf+/n55ZqKIygoKNdUJQD058adO3fM8j4QFRfOcWthnJeQiIiIiIjKAi8vLzg4OODGjRuFWk83JUBOCQkJeS739/fXvw5kfwx84cKFOHHiBDp27AhPT0+0adMGf/zxh36dzZs3Y+DAgVizZg2Cg4Ph4eGBAQMGIC4uDgD0HwfP+QCy54X95Zdf0L59e0RGRqJRo0bw9vbG+++/j0ePHgEA7t+/DwB4+eWXc21j8+bNePjwIYDs+UABoEKFCoXKTUESEhLg5+eX62PhPj4+sLGxyfWRdU9Pz1zbUCqVePLkiVH7O378OD777DOMHTsWAwcOxPTp03Hp0iX96/nlMadBgwbhf//7H9auXVuom63pYixK0VuXh/zOJ61Wi6SkJCQlJUGj0Tz3PVq0aBFGjhyJZs2a4eeff8aJEydw6tQpdOjQwehc5lSpUiUAMPr7Zvz48Zg2bRp69OiBHTt24Pfff8epU6fQoEGDPPef13HnR3c+9+zZM9d7OX/+fAgh9MXW531f5SU2Nhavvvoq7ty5g88//xxHjx7FqVOnsGzZMgDIFX9hzlnduVGU94DIkthxa2Gcl5CIiIiIiMoCuVyONm3aYPfu3fjnn3+MLlLmNR+lp6cn7t27l2v53bt3AUB/Xw0bGxuMHz8e48ePR3JyMg4cOICPP/4Y7du3x+3bt+Hg4AAvLy8sWbIES5YsQWxsLLZv347JkycjPj4ee/bsQdeuXXHq1Kk8YwsICMDXX38NILsb8IcffsD06dORmZmJlStX6uP46aefEBAQkO8x6jo4//nnH6NyYgxPT0/8/vvvueb0jI+Ph1qtzvPeI0X15MkThIWFoVq1apg9ezZUKhX279+PsLAwHD9+HHK5vMA8AsDcuXPx008/YdKkSbm6hJ9HV8B7tkOzMOvmdz7JZDK4u7tDkiTI5fLnvkfr169Hq1atsGLFCoPlumJ+YbVv3x6rV6/Gtm3bMHny5OeO181BO2fOHIPlDx8+zHP+38LM96o7Z5YuXYrmzZvnOcbX11c/tqDvq7xs27YNaWlp2LJli8H3S14dtIWlOzeK87wnMgcWbi2sdr9+0KhUUKWmFnpdpYsLavfta4KoiIiIiIiIil94eDj+7//+D8OGDcN///tfKBQKg9ezsrL0xdKCtGnTBlu3bsXdu3f1XbYA8O2338LBwSHPopKbmxt69uyJO3fuYOzYsbh582aurs5KlSphzJgx+OWXX/Dbb78ByC7s5dXZ96waNWpg6tSp+Pnnn3HmzBkA2UU3GxsbXL9+vcCPpNeoUQNVq1bFN998g/Hjx0OpVOY5TrfcmK7BNm3a4IcffsC2bdvw+uuv65d/+3S6Pd1NpIpDeHg4rl+/jt9++w329vawt7fH6tWr0aVLFyxYsACTJ08uMI979+7F1KlT8dprr+UqOBpDoVCgSpUquH79eqHXrVmzJsqXL48NGzZgwoQJ+kJmWloafv75ZwQHB8PBwQEAEBISgh9//BGzZ8/OtwAoSVKu9+/8+fM4fvx4oW7Kp9O9e3fUr18fc+fORZcuXVCvXr1cY/bu3YtXX30VDg4Oee5/165duHPnDqpVq2bUPvM7z1q2bAk3NzdcunQJY8aMMfoY8vq+yosu9znjF0Lgq6++Mnpf+fn7778hk8ly3ZyNyNqxcGthnJeQiIiIiIjKiuDgYKxYsQKjRo1C48aNMXLkSNStWxdZWVk4e/YsVq9ejXr16j23cBsREYGdO3ciNDQUn3zyCTw8PPD9999j165diIyMhKurK4Ds+3TUq1cPTZo0gbe3N27duoUlS5YgICAA1atXR0pKCkJDQ9G3b1/UqlULzs7OOHXqFPbs2YM33nijwBjOnz+PMWPGoFevXqhevToUCgUOHjyI8+fP6zsjK1eujJkzZ2LKlCn4+++/0aFDB7i7u+P+/fs4efIkHB0dMWPGDADAsmXL0LVrVzRv3hzjxo1DpUqVEBsbi7179+L7778HANSvXx8A8Pnnn2PgwIGwtbVFzZo1Deam1RkwYACWLVuGgQMH4ubNm6hfvz6OHTuGOXPmoFOnTnjttdcK9+bl48iRI/jiiy/w0UcfGcw/2rlzZ/2UCd26dct36oMbN26gT58+sLe3x9ixY/Ptyq1QoUKBXdqtWrXC7t278319x44deeapZ8+eiIyMRL9+/dClSxcMHz4cKpUKCxYsQHJyMubNm6cfu2jRIrzyyito1qwZJk+ejGrVquH+/fvYvn07Vq1aBWdnZ3Tp0gWffvopIiIiEBISgpiYGMycOROBgYG55oU1hlwux9atW9GuXTsEBwdj5MiRCA0NhaOjI27duoWffvoJO3bsQFJSEgCgS5cuiIqKQq1atRAUFITTp09jwYIFhZqGQ1ccXr16NZydnWFnZ4fAwEB4enpi6dKlGDhwIBITE9GzZ0/4+PjgwYMHOHfuHB48eIAVK1YU+fuqbdu2UCgU6NOnDyZNmoSMjAysWLFCf2wv4sSJE3jppZfg7u7+wtsiMivL3Ret5Hr27sW6OzinpaWJS5cuibS0NAtHWLpptVqRmZkptFqtSfejez8LuqtraVcW705uScy3+TDX5sV8m09ZzPWz12VEVDL8+eefYuDAgaJSpUpCoVAIR0dH0bBhQ/HJJ5+I+Ph4/biAgADRuXPnPLdx4cIF0bVrV+Hq6ioUCoVo0KCBWLt2rcGYzz77TLRo0UJ4eXkJhUIhKlWqJIYMGSJu3rwphBAiIyNDjBgxQgQFBQkXFxdhb28vatasKSIiIp77e939+/dFWFiYqFWrlnB0dBROTk4iKChILF68WKjVaoOx27ZtE6GhocLFxUUolUoREBAgevbsKQ4cOGAw7vjx46Jjx47C1dVVKJVKUbVqVTFu3DiDMeHh4cLf31/IZDIBQBw6dEgIIURISIgICQkxGJuQkCBGjBghypUrJ2xsbERAQIAIDw8XGRkZBuMAiNGjR+c6xoCAADFw4MB8c/D48WNRpUoVUa9ePaFSqXK9npSUJPz9/cXLL7+cKyc6a9euFQCe+4iIiMg3DiGE+OWXXwQAcfLkSYPlERERBW5XZ9u2baJZs2bCzs5OODo6ijZt2ojffvst134uXbokevXqJTw9PfXnVFhYmD6nKpVKTJgwQZQvX17Y2dmJRo0aiW3btomBAweKgIAAg20Zc1w6ycnJ4tNPPxWNGjUSTk5OwtbWVlSqVEm88847BnEmJSWJIUOGCB8fH+Hg4CBeeeUVcfTo0Vznx6FDhwQA8eOPP+a5vyVLlojAwEAhl8sFAIPvrV9//VV07txZeHh4CFtbW1G+fHnRuXNn/baM/b7KKyc7duwQDRo0EHZ2dqJ8+fJi4sSJYvfu3QbnuhDZ53vdunVzxZ3XNh89eiQcHBzEZ5999pwsE1kfSYint3wko6WmpsLV1RUpKSlwcXGBVqtFfHw8vLy8cP36dcjlcnh7e0OhUBRqvhgyjhACarUaNjY2JsmvEAKZmZl48OABNBoNqlevbnB30bJEd277+PiU2RyYE/NtPsy1eTHf5lMWc/3sdRkREZVdQUFBaNmyZa75Zals+/rrr/HBBx/g9u3b7LilEodTJRQjmUyGwMBA3Lt3Tz8pPhU/IQS0Wi1kMplJC+MODg6oVKlSmfnFl4iIiIiIqCSLjIzE66+/jilTphRqagAqvdRqNebPn4/w8HAWbalEYuG2mCkUClSqVAlqtRoajcbS4ZRKWq0WCQkJ8PT0NFlRVS6Xm6yjl4iIiIiIiIpfhw4dsGDBAty4cYOFWwIA3L59G++88w4+/PBDS4dCVCQs3JqAJEmwtbWFra2tpUMplbRaLWxtbWFnZ8duWCIiIiIiItIbM2aMpUMgKxIYGIhPPvnE0mEQFRmrXkRERERERERERERWhoVbIiIiIiIiIiIiIivDqRKIiIiIiEo5rVaLu3fvwtnZmXP4ExEREVmQEAKPHj2Cv7//c6cAZeGWiIiIiKiUu3v3LipWrGjy/XgDmIDsj/W1A7APgBbAQgAPSvD+zH1cJTUma1LS8lPS4i0NmHPrw/ekbLPE+2/pc+727dvPvZEiC7dERERERCXA8uXLsWDBAty7dw9169bFkiVL8Oqrrxq1rrOzM4DsXxBcXFyg1Wrx4MEDeHt7F+vNXg8OG4a/fvgBVQEEAbj+9LH6rbfQevXqYtuPuff3ovsxRb7NneuSQpfri1Om4PqPP5aY/JTU99NUP0vMoaTlvCTn2ljW9J6UhXxbC0v+3LbUOZeamoqKFSvqr88KIgkhxPMGffHFF4UOYtCgQUYFUJymT5+OGTNmGCzz9fVFXFwcgOxW5BkzZmD16tVISkpCs2bNsGzZMtStW7dQ+0lNTYWrqytSUlL0F77x8fHw8fHhN7QZMN/mw1ybF/NtPsy1eTHf5lMWc/3sdVlptXnzZvTv3x/Lly9Hy5YtsWrVKqxZswaXLl1CpUqVnru+Oa5fE65cQVTduhBaLfoD8AUQB2A9AEkmw6BLl+BRs2ax7Muc+yuO/RR3vs2d65JEq9Xi2m+/YWerViUmPyX5/Syp/++UxJyX1Fwby9rek9Keb2tiqZ/bljznCnP9alTH7dixY1GhQgXI5XKjArh9+za6dOli9sItANStWxcHDhzQP88Zc2RkJBYtWoSoqCjUqFEDs2bNQtu2bRETE2ORWImIiIiIjLFo0SIMGTIEQ4cOBQAsWbIEe/fuxYoVKzB37txc41UqFVQqlf55amoqgOxfjnQPIQS0Wm2xxXj8008htFpURfYvPwDgB6AqgOtaLY5/+ik6fvttidtfceynuPNt7lyXJFqtFheWLClR+SnJ76cpfpaYQ0nMeUnNtbGs7T0p7fm2Jpb6uW3Jc64w55XRUyX88ccf8PHxMWqsJYugNjY28PPzy7VcCIElS5ZgypQpeOONNwAA69atg6+vLzZs2IDhw4ebO1QiIiIioufKzMzE6dOnMXnyZIPl7dq1Q3R0dJ7rzJ07N9cn0QDgwYMHyMjIgFarRUpKCoQQxdJJlPLXX4jZtAkA0OKZ14KR/bHDKxs3ovrIkXCpWrXE7K+49lOc+TZ3rkua5KtXcXPbNgAlIz8l/f0s7p8l5lBSc14Sc20sa3xPSnO+rY0lfm5b+px79OiR0WONKtxGRETAycnJ6I1+/PHH8PDwMHp8cbp27Rr8/f2hVCrRrFkzzJkzB1WqVMGNGzcQFxeHdu3a6ccqlUqEhIQgOjq6wMKtJToWKH/Mt/kw1+bFfJsPc21ezLf5lMVcl4VjffjwITQaDXx9fQ2W55wS7Fnh4eEYP368/rluLjVvb2/9VAmSJBXb3H2nJ0zI1bWik7N75drKlei4bl2J2V9x7ac4823uXJc0f3z4IVCC8lPS38/i/lliDiU15yUx18ayxvekNOfb2lji57alzzk7OzujxxpduC2M8PDwQo0vLs2aNcO3336LGjVq4P79+5g1axZatGiB//3vf/qL2rwueG/dulXgds3dsUAFY77Nh7k2L+bbfJhr82K+zacs5rowHQslnSRJBs+FELmW6SiVSiiVylzLZTKZ/tyQJMngeVElxsTgysaNAHJ3rejou1c2bEDwtGnwqFHD6vdX3PspjnybO9clTWJMTL4dVDrWlJ/S8n4W188ScyjpOS9JuTaWNb8nls63RqNBVlaWRfZtLsk3buD28eNwCAjAywAy8hjTBMA9ALG//Yb4mBi4BQa+8D5jo6NNuk9bW9sCp5stzDll9FQJOq1bt8aWLVvg5uZmsDw1NRU9evTAwYMHC7vJYtOxY0f9v+vXr4/g4GBUrVoV69atQ/PmzQEU7oJXx9wdC1Qw5tt8mGvzYr7Nh7k2L+bbfMpirgvTsWAslUqVZ9HTUry8vCCXy3N118bHx+dqSrCEE7Nm5du1opOze+XErFno9AJzxplrf+Y+rpIakzUpafkpafGWBsy59eF7kpsQAnFxcUhOTrZ0KCb35OFDNFq+HDYAHj195KUZADWAuw8fIqmE7NPNzQ1+fn7PrTk+T6ELt4cPH0ZmZmau5RkZGTh69OgLBVPcHB0dUb9+fVy7dg09evQAAMTFxaFcuXL6McZc8JqzY4GMw3ybD3NtXsy3+TDX5sV8m09Zy3VxHOfevXuxceNGHD16FLGxsdBqtXBwcECjRo3Qrl07DBo0CP7+/sUQbdEoFAo0btwY+/fvx+uvv65fvn//fnTv3t1icQHZnVKXN2wAkH+nlI6uY+ry99+j+dSpRe6CNcf+zH1cJTUma1LS8lPS4i0NmHPrw/ckb7qirY+PDxwcHF648Get1CoVktLSAHt7uAGwLWBsFoDkp/929/eHTRH/wG6OfQohkJ6ejvj4eAAwqEEWhdFXuufPn8f58+cBAJcuXdI/P3/+PM6ePYuvv/4a5cuXf6FgiptKpcLly5dRrlw5BAYGws/PD/v379e/npmZiV9//RUtWjzvRwQRERERlTbbtm1DzZo1MXDgQMhkMkycOBFbtmzB3r178fXXXyMkJAQHDhxAlSpVMGLECDx48MBisY4fPx5r1qzBN998g8uXL2PcuHGIjY3FiBEjLBYTYFynlI6uY0o87Ziy5v2Z+7hKakzWpKTlp6TFWxow59aH70luGo1GX7T19PSEvb097OzsSuVDk5AAWwBOAJwB2BXwcH46zhaAJjHRqvdpb28PT09P+Pj4IDk5GRqN5oXOCUkIIYwZKJPJ9FX+vFaxt7fH0qVLMXjw4BcK6EVMmDABXbt2RaVKlRAfH49Zs2bh119/xYULFxAQEID58+dj7ty5WLt2LapXr445c+bg8OHDiImJgbOzs9H7SU1NhaurK1JSUvRTJcTHx8PHx6fMdLdYEvNtPsy1eTHf5sNcmxfzbT5lMdfPXpcVRtOmTTFt2jR07ty5wHzduXMHn3/+OXx9ffHhhx++aMhFtnz5ckRGRuLevXuoV68eFi9ejP/85z9GrWuK69fEmBisrVMHQqtFJQBuRqyTDCAWgCSTYdDly4XugjXH/kyxnxfNt7lzXdKUtPyUtHgLUlL+3ykNOS8puTaWtb8nlsp3RkYGbty4gcqVK8Pe3t5s+zU3dUYGHl68CABQAMh/Nth/aQDoPv/vVa8ebAo5XZa59/nkyRPcvHkTgYGBuab2Ksz1q9FTJdy4cQNCCFSpUgUnT56Et7e3/jWFQgEfH58CJ941h3/++Qd9+vTBw4cP4e3tjebNm+PEiRMICAgAAEyaNAlPnjzBqFGjkJSUhGbNmmHfvn2FKtoSERERUelw8uRJo8aVL18ekZGRJo7m+UaNGoVRo0ZZOgy924cPQ2i1ALJ/kY4txLpCq8Xtw4cL9Uu3ufZn7uMyhjXGZE1KWn5KWrylAXNuffieFKy0To+gk5nj5rK5J2M1bv3CFm7Nvc/ieg+NLtzqip/ap99Y1mjT0zuI5keSJEyfPh3Tp083T0BERERERKVU7X79oFGpoEpNLfS6ShcX1O7b1yr3Z+7jKqkxWZOc+RFCIO3xYzg6ORn1S7Ml8sP30/yYc+vD96Rss/PwgNBqIZ5OI6DVao3ubJbkcth5eLzwPgujqPssDoW+Odm6devg5eWFzp07A8juYl29ejXq1KmDjRs36gu8REREREQlhRACP/30Ew4dOoT4+PhczQpbtmyxUGTWS+HkhEbvv1/q9mfu4zKGNcZkTXLmpyR8nJzvp/kx59aH70nZJpPL4eibPbOxEAJqtRo2NjYm7TTOuc+SpND/k82ZM0c/z8bx48fx5ZdfIjIyEl5eXhg3blyxB0hEREREZGoffPAB+vfvjxs3bsDJyQmurq4GDyIiIiIyncOHD0OSJCQnJxc4btu2bahWrRrkcjnGjh1bbPuXJAnbtm0rtu0Vl0J33N6+fRvVqlUDkJ2snj174t1330XLli3RqlWr4o6PiIiIiMjk1q9fjy1btqBTp06WDoWIiIioxImPj8e0adOwe/du3L9/H+7u7mjQoAGmT5+O4ODgYtvP8OHDMWjQILz//vsmu2eV7qZiZ8+exUsvvWSSfRir0IVbJycnJCQkoFKlSti3b5++y9bOzg5Pnjwp9gCJiIiIiEzN1dUVVapUsXQYRERERC9EoxWIT1chPk2FDI0WdnIZfByV8HFQQi4z3VQEb775JrKysrBu3TpUqVIF9+/fxy+//ILExMRi28fjx48RHx+P9u3bw9/fv9i2a80KPVVC27ZtMXToUAwdOhRXr17Vz3X7v//9D5UrVy7u+IiIiIiITG769OmYMWMGGxGIiIioxNJoBa4mPsbVxMdIUamh0QqkqNT6ZRqtMMl+k5OTcezYMcyfPx+hoaEICAhA06ZNER4ejs6dO+PmzZuQJAl//vmnwTqSJOHw4cMG2/rtt9/QoEED2NnZoVmzZrhw4QKA7KkUdB22rVu31q+bkJCAPn36oEKFCnBwcED9+vWxceNGg21WrlwZS5YsMVj20ksvYfr06XkeT2BgIACgYcOGkCRJP8PA4cOH0bRpUzg6OsLNzQ0tW7bErVu3ipY0IxW6cLts2TIEBwfjwYMH+Pnnn+Hp6QkAOH36NPr06VPsARIRERERmVqvXr2QlJQEHx8f1K9fH40aNTJ4EBEREVm7+HQV4tNVsLeRw0lhA7unX+1t5PrXTMHJyQlOTk7Ytm0bVKoX28fEiROxcOFCnDp1Cj4+PujWrRuysrLQokULxMTEAAB+/vln3Lt3Dy1atEBGRgYaN26MnTt34uLFi3j33XfRv39//P7770WO4eTJkwCAAwcO4N69e9iyZQvUajV69OiBkJAQnD9/HsePH8e7775r0huqAUWYKsHNzQ1ffvllruUzZswoloCIiIiIiMwtLCwMp0+fxjvvvANfX1+TX4QTERERFbf4NBUkSLCRGfZp2shkkKBFfJoK5Zzsin2/NjY2iIqKwrBhw7By5Uo0atQIISEhePvttxEUFFSobUVERKBt27YAgHXr1qFChQrYunUrevfuDR8fHwCAh4cH/Pz8AADly5fHhAkT9Ou/99572LNnD3788Uc0a9asSMfj7e0NAPD09NTvJzExESkpKejSpQuqVq0KAKhdu3aRtl8YhS7c6qSnpyM2NhaZmZkGywv7hhARERERWdquXbuwd+9evPLKK5YOhYiIiKhIMjRa2OQzj62NTEKGRmuyfb/55pvo3Lkzjh49iuPHj2PPnj2IjIzEmjVr9FMNGCPnjcw8PDxQs2ZNXL58Od/xGo0G8+bNw+bNm3Hnzh2oVCqoVCo4Ojq+yOHk4uHhgbCwMLRv3x5t27bFa6+9ht69e6NcuXLFup9nFXqqhAcPHqBz585wdnZG3bp10bBhQ4MHEREREVFJU7FiRbi4uFg6DCIiIqIis5PLoM5nHlu1VsBOXugyYOH2b2eHtm3b4pNPPkF0dDTCwsIQEREB2dMOYCH+jS0rK8vo7Rb0SajPPvsMixcvxqRJk3Dw4EH8+eefaN++vUGjqUwmM9h3Yfevs3btWhw/fhwtWrTA5s2bUaNGDZw4caLQ2ymMQr9jY8eORXJyMk6cOAF7e3vs2bMH69atQ/Xq1bF9+3ZTxEhEREREZFKfffYZJk2ahJs3b1o6FCIiIqIi8XFUQkBArTXsrFVrtRAQ8HFUmjWeOnXqIC0tTT/1wL179/Sv5bxRWU45C6FJSUm4evUqatWqle8+jh49iu7du+Odd95BgwYNUKVKFVy7ds1gjLe3t8G+U1NTcePGjXy3qVAoAGR38z6rYcOGCA8PR3R0NOrVq4cNGzbku53iUOipEg4ePIj//ve/ePnllyGTyRAQEIC2bdvCxcUFc+fORefOnU0RJxERERGRybzzzjtIT09H1apV4eDgAFtbW4PXExMTLRQZERERkXF8HJRIzshCfLoKErKnTVBrRXbR1kEJHwfTFG4TEhLQq1cvDB48GEFBQXB2dsYff/yByMhIdO/eHfb29mjevDnmzZuHypUr4+HDh5g6dWqe25o5cyY8PT3h6+uLKVOmwMvLCz169Mh339WqVcPPP/+M6OhouLu7Y9GiRYiLizOYf7Z169aIiopC165d4e7ujmnTpkEul+e7TR8fH32zaoUKFWBnZ4fExESsXr0a3bp1g7+/P2JiYnD16lUMGDCgyHkzRqELt2lpaQaTAT948AA1atRA/fr1cebMmWIPkIiIiIjI1BYvXswbkhEREVGJJpdJqOHhBDc7W8SnqZCh0cLRVg4fx+yirTyf+W9flJOTE5o1a4bFixfj+vXryMrKQsWKFTFs2DB8/PHHAIBvvvkGgwcPRpMmTVCzZk1ERkaiXbt2ubY1b948fPDBB7h27RoaNGiA7du36ztg8zJt2jTcuHED7du3h4ODA95991306NEDKSkp+jHh4eH4+++/0aVLF7i6uuLTTz8tsOPWxsYGX3zxBWbOnIlPPvkEr776KjZv3owrV65g3bp1SEhIQLly5TBmzBgMHz78BTL3fIUu3NasWRMxMTGoXLkyXnrpJaxatQqVK1fGypUrTT4hLxERERGRKYSFheX72pMnT8wXCBEREdELkMsklHOyQzknO7PtU6lUYu7cuZg7d26+Y2rXro3jx48bLBNCQAgBtVqNVq1a6eeh7dKlS57bcHNzyzVXrYeHB7Zt21ZgfC4uLti8ebPBsoEDB+aKJaehQ4di6NChBsu2bt1a4H5MoUhz3OrmhYiIiMCePXtQqVIlfPHFF5gzZ06xB0hEREREZGqjR4/Oc3laWho6duxo5miIiIiIiIrQcduvXz/9vxs2bIibN2/iypUrqFSpEry8vIo1OCIiIiIic9i3bx+mTp2KWbNm6ZelpaWhQ4cOFoyKiIiIiMqyQhdun+Xg4IBGjRoVRyxERKWaRisQn67SzzVkJ5eZfK4hIiIyzr59+/DKK6/A09MT48aNw6NHj9C+fXvY2Nhg9+7dlg6PiIiIiMogo6dKqFOnjsHddN999108ePBA/zw+Ph4ODg7FGx1ZhCo1FedWrULmo0eWDoWo1NBoBa4mPsbVxMdIUamh1mgRn67C2bgUHLz1AH/GJSPucQa0WvH8jRERUbELDAzE3r17MXv2bHz++edo164dFAoFdu/eDUdHR0uHR0RERERlkNGF2ytXrkCtVuufb9q0CY9yFPaEEMjIyCje6MgiDowahf0jRuDAqFGWDoWo1IhPVyE+XQV7GzkcbeVQabTI1AhohUB6lga3H2XgdFwKLj5Ixd1HT6BhAZeIyOzq1auHnTt3YsqUKXBwcGDRloiIiIgsqshTJTx7tzUAkCR+1LekS7hyBVc2bgQAXN6wAc2nToVHzZoWjoqo5ItPU0GCBBuZDOlZajxRayGXALUAtCL7Z6oMAmlZGpyOS4F9QhocbeWQyyTY28g5pQIRkQk0bNgwz+tXpVKJu3fvomXLlvplZ86cMWdoREREREQvPsctlS4nZs2C0GoBAEKrxYlZs9Dpu+8sHBVRyfdErYFaq0Xik0ykqzUQQkBIEtRaARkA7dMHAGgE8DhLg/QsDWzlEiCA26lP4GgrRw1PJ/g52rGAS0RUDHr06GHpEIiIiIiI8mV04VaSpFwdCeywLV1ydtu2A7AP7LolKg4arcATtQaPMzWQyyRotQJaAJpnP7mQ46ns6dNMjYBcJkESAskqNU7fS4azwoYFXCKyWqrUVFzZuBG1+/aFwtnZ0uEUKCIiwtIhEBEREZlESbomo/wZXbgVQqBNmzawscle5cmTJ+jatSsUCgUAGMx/SyWTrtu2KoAgANcBXGfXLdELi09XZXfWSoBWq0V+s9eKZ/4tkF3A1WoF8LQ+qxVASqYaZ+JSYGfzCN72Cvg62XEaBSKyGgdGjcLl77/HnWPHSt31gxCCjQtERERUIpTma7KyxOjC7bMdCd27d8815s0333zxiMgicnbbtni6LBjZxVt23RK9mPuPMyBE9o3I1Ebec0w3TDd9gg0AIWUXbiGyu3XTszS4rc7AP48yoJDLOCcuEVlcSZsrv3bt2pg2bRp69uypb0bIy7Vr17Bo0SIEBARg8uTJZoyQiIiIqPBK2jVZYUVFRWHs2LFITk62dCgmV+TCLZUuObttfZ8u8wNQFey6JXoRGq3AgyeZUGlEdtG1iNRPm24FADmyC7pC6Lq/ns6Jq9bAwUYOlVqLZFUWkjOyUMPDicVbIjKbkjZX/rJly/DRRx9h9OjRaNeuHZo0aQJ/f3/Y2dkhKSkJly5dwrFjx3Dp0iWMGTMGo0aNsnTIRERERM9liWuy+Ph4TJs2Dbt378b9+/fh7u6OBg0aYPr06QgODoYkSdi6dWuh7zFQuXJljB07FmPHjtUve+utt9CpU6fiPQArJbN0AGR5iTExubptdYKffr28YQMSr141a1xEpUF8ugpZGi1ylk6LWkbV1X01+HcqBYHsAq5Myv6BnqUVkMtksLeRIz5dhfh0VdGDJyIqhGfnygeeXj/ExFguqOdo3bo1Tp06hV27dsHPzw8bNmzAmDFj0K9fP0yfPh3Xrl3DgAED8M8//2DevHlwcXGxdMhEREREBbLUNdmbb76Jc+fOYd26dbh69Sq2b9+OVq1aITExsdj3ZW9vDx8fn2LfrjUyqnDbqFEjJCUlGb3RV155BXfu3ClyUGReeXXb6ui6bnV/oSGiwolPU0Ehl0Pg32kPipNuu0L8W9h9otbARiaDBAnxaSzcEpF5PDtXfkm6fmjRogU+//xznD17FklJScjIyMA///yDHTt2YMyYMXBzc7N0iERERERGscQ1WXJyMo4dO4b58+cjNDQUAQEBaNq0KcLDw9G5c2dUrlwZAPD6669DkiT98+vXr6NHjx6oUKECnJ2d8fLLL+PAgQP67bZq1Qq3bt3CuHHjIEmS/l4DUVFRua7PVqxYgapVq0KhUKBmzZr47pkOY0mSsGbNGrz++utwcHBA9erVsX37dv3rSUlJ6NevH7y9vWFvb4/q1atj7dq1xZ+sQjKqcPvnn3/i3LlzOH/+vFGPP//8EyoViwUlQWJMDC5v2AAgd7etjr7r9vvv2XVLVEhP1BpIENDkmCfhBWZMyJcAoHk6dYLm6UdibGQSMjSmKBcTERnKb658wPq7bomIiIhKC0tdkzk5OcHJyQnbtm3Lsx546tQpAMDatWtx7949/fPHjx+jY8eO2L17N86cOYP27duja9euiI2NBQBs2bIFFSpUwMyZM3Hv3j3cu3cvz/1v3boVH3zwAT788ENcvHgRw4cPx6BBg3Do0CGDcTNmzEDv3r1x/vx5dOrUCf369dN3BE+bNg2XLl3C7t27cfnyZaxYsQJeXl7FlqOiMnqO2zZt2kAI48oNvNtuyVFQt61Orrluv/3WfAESlWAarcATtQZpWVqTFGvzkvm0QCyEgFor4GgrN9Oeiags41z5RERERJZnqWsyGxsbREVFYdiwYVi5ciUaNWqEkJAQvP322wgKCoK3tzcAwM3NDX5+fvr1GjRogKCgIKjVatjY2GDWrFnYunUrtm/fjjFjxsDDwwNyuRzOzs4G6z1r4cKFCAsL09+PYPz48Thx4gQWLlyI0NBQ/biwsDD06dMHADBnzhwsXboUJ0+eRIcOHRAbG4uGDRuiSZMmAKDvCrY0ozpub9y4gb///hs3btww6vH3338jICDA1LHTCzKm21aHXbdEhRefroJaK2Due4NpATzOVENAwMdRad6dE1GZw7nyiYiIiCzP0tdkb775Ju7evYvt27ejffv2OHz4MBo1aoSoqKh810lLS8OkSZMQFBQEd3d3ODk54cqVK/qOW2NdvnwZLVu2NFjWsmVLXL582WBZUFCQ/t+Ojo5wdnZGfHw8AGDkyJHYtGkTXnrpJUyaNAnR0dGFisFUjCrcBgQEFPohl7PLy9oZ022rw7luiQrv/uMMCCGgFcJsHbcAAK1AWpYGPg5K+DiwcEtEpsW58omIiIgszxquyezs7NC2bVt88skniI6ORlhYGCIiIvIdP3HiRGzZsgUzZ87EkSNH8Oeff6J+/frIzMws9L6f/fS/ECLXMltb21zraJ9ONdixY0fcunULY8eOxd27d9GmTRtMmDCh0HEUN6MKt1T65Oy2zQKwz4hH1tN12XVL9HwarcCDJ5lQaQS0Zq3aArY2Mjgq5Kjh4QS5udt9iahM4Vz5RERERJZnrddkderUQVpaGoDsoqlGozF4/ejRoxg4cCB69OiB+vXrw8/PDzdv3jQYo1Aocq33rNq1a+PYsWMGy6Kjo1G7du1Cxevt7Y2wsDCsX78eS5YswerVqwu1vikYPcctlS63Dx+GePpXhdinD2MJrRa3Dx+GR40aJomNqDSIT1chS6OFOcumEgC5TIKtTIKb0pZFWyIyudI2V75Wq8Vff/2F+Ph4ffeFzn/+8x8LRUVERERUMEtfkyUkJKBXr14YPHgwgoKC4OzsjD/++AORkZHo3r07gOw5Y3/55Re0bNkSSqUS7u7uqFatGrZu3YqOHTvC1tYWn3zySa5rsMqVK+PIkSN4++23oVQq87xh2MSJE9G7d280atQIbdq0wY4dO7BlyxYcOHDA6GP45JNP0LhxY9StWxcqlQo7d+4sdOHXFFi4LaNq9+sHjUoFVWpqoddVurigdt++JoiKqPSIT1NBIZfjiVoD7fOHFxuZEMjUcG5bIjK9ws6Vfx3ZHR7Np061yj/+njhxAn379sWtW7dy3ZBXkqTndnoQERERWYI1XJM5OTmhWbNmWLx4Ma5fv46srCxUrFgRw4YNw8cffwwA+OyzzzB+/Hh89dVXKF++PG7evInFixdj8ODBCAkJgZeXFz766COkPlOnmjlzJoYPH46qVatCpVLluk4DgB49euDzzz/HggUL8P777yMwMBBr165Fq1atjD4GhUKB8PBw3Lx5E/b29nj11VexadOmF8pLcZBEXkdMBUpNTYWrqytSUlLg4uICrVaL+Ph4+Pj4QCbj7BOmxnybD3NdNBqtwLF/EpCeqUGGRmv8/LZCAI+TASc3QCp8t6wEwEYmwc5GhtYB3uy4LQDPbfNivs3HnLn+v/79cWn9elQF8LoR47ci+xeFOv37F2uHx7PXZUX10ksvoUaNGpgxYwbKlSuXa040V1fXFw01T5UrV8atW7cMln300UeYN2+e/nlsbCxGjx6NgwcPwt7eHn379sXChQuhUCiM3g+vXy2L+TYf5tq8mG/zYa7Ny1L5zsjIwI0bNxAYGAg7Ozuj1rGWa7KiEkJArVbDxsYm1/VXSVbQe1mY69cX6rhVqVRQKtnVRUSko9EKXE18jLRMNTTmbLVFduHWXi6Dl72CRVsiMqm85sp/npxz5Vtj1+21a9fw008/oVq1ambf98yZMzFs2DD9cycnJ/2/NRoNOnfuDG9vbxw7dgwJCQkYOHAghBBYunSp2WMlIiIi61Ear8nIUKH+bLB3716EhYWhatWqsLW1hYODA5ydnRESEoLZs2fj7t27poqz2C1fvlxf9W7cuDGOHj1q6ZCIqBSIT1chPl0FR4UNZGYunsokQEiAr5Nxf5klIiqqZ+fKP2/EQzefvm6ufGvTrFkz/PXXXxbZt7OzM/z8/PSPnIXbffv24dKlS1i/fj0aNmyI1157DZ999hm++uqrXB8lJCIiorKlNF6TkSGjOm63bduGjz76CCkpKejUqRMmTpyI8uXLw97eHomJibh48SIOHDiATz/9FGFhYfj000/h7e1t6tiLbPPmzRg7diyWL1+Oli1bYtWqVejYsSMuXbqESpUqWTo8IirB7j/OQKZGCwhArS3ENAnFQACwkST4OPCTEERkWqVlrvzz58/r//3ee+/hww8/RFxcHOrXrw9bW1uDsUFBQSaLY/78+fj0009RsWJF9OrVCxMnTtRPg3D8+HHUq1cP/v7++vHt27eHSqXC6dOnERoamuc2VSoVVCqV/rmuyKvVavUPIUSuG4CQaTDf5sNcmxfzbT7MtXlZKt+6/eoez1Orb1+oMzKQWYRrMoWLC2r16WPUfkxNF4M1xFJcdO+h7rorp8KcV0YVbufMmYOFCxeic+fOec7t0bt3bwDAnTt38Pnnn+Pbb7/Fhx9+aHQQ5rZo0SIMGTIEQ4cOBQAsWbIEe/fuxYoVKzB37lwLR0dEJZVGK/DgSSYy1FrIJQnm/D9HAuCssIG9rZzTJBCRySmcnNDo/fctHcYLe+mllyBJksEvCYMHD9b/W/eaKW9O9sEHH6BRo0Zwd3fHyZMnER4ejhs3bmDNmjUAgLi4OPj6Gt4f2t3dHQqFAnFxcflud+7cuZgxY0au5Q8ePEBGRga0Wi1SUlIghOBciWbAfJsPc21ezLf5MNfmZal8Z2VlQavVIisrCzY2zy/ZyezsEDRq1AvtU61Wv9D6L0oIob/OKk1z3Orey4SEhFwNAY8ePTJ6O0YVbk+ePGnUxsqXL4/IyEijd24JmZmZOH36NCZPnmywvF27doiOjs5zHXYsWBfm23yY68K5/zgDmers/3DkkoRCV26F+PdRCBIAmUyCRquFndyG75cReG6bF/NtPmUx1y9yrDdu3CjGSP41ffr0PIumOZ06dQpNmjTBuHHj9MuCgoLg7u6Onj17Yv78+fD09ASQ9y8xuoJyfsLDwzF+/Hj989TUVFSsWBHe3t76m5NJkgRvb28WAMyA+TYf5tq8mG/zYa7Ny1L51mg0ePToETIzM+Hs7Gy2/VqDZ4ubJV1mZiZkMhn8/Pwgl8sNXjP2xnPAC96crCR6+PAhNBpNrs4FX1/ffLsW2LFgXZhv82GuC+dWchrkKjW0WoFMCAhNEVpuM9KAIvyVUSYBKpkMCskB8fGq569QxvHcNi/m23zKYq4L07HwrICAAP2/jxw5ghYtWuTqblGr1YiOjjYY+zxjxozB22+/XeCYypUr57m8efPmAIC//voLnp6e8PPzw++//24wJikpCVlZWbmuZ3NSKpV53kRYJpPpzw1Jkgyek2kx3+bDXJsX820+zLV5WSLfMpkM7u7uePDgASRJgoODQ6nqQs2LEAJqtRoajaZUHKsQAunp6Xjw4AHc3d3zLEgX5pwqdOFWCIGffvoJhw4dQnx8fK4uhy1bthR2kxbx7MlQUNcCOxasC/NtPsx14dxQJ8FGoUaWWossbRGKtrpuW0fXQhdvhUyC0kaG6hW9OFWCEXhumxfzbT5lMdeF6VgoSGhoKO7duwcfHx+D5SkpKQgNDS3UVAleXl7w8vIqUhxnz54FAJQrVw4AEBwcjNmzZ+PevXv6Zfv27YNSqUTjxo2LtA8iIiKyXn5+fgCA+Ph4C0diHrpPi8lkslJRuNVxc3PTv5cvotCF2w8++ACrV69GaGgofH19S1xSvby8IJfLc3XXxsfH59u1wI4F68N8mw9zbRyNViBDo0W6WkAuSZAkFO3GZJL078PYVQA42Mjh5aCArY38ueMpG89t82K+zaes5bq4jjO/P+InJCTA0dGxWPbxrOPHj+PEiRMIDQ2Fq6srTp06hXHjxqFbt276G+a2a9cOderUQf/+/bFgwQIkJiZiwoQJGDZsGFxcXEwSFxEREVmOJEkoV64cfHx8kJWVZelwTE43D6ynp2epuX61tbXNNT1CURW6cLt+/Xps2bIFnTp1KpYAzE2hUKBx48bYv38/Xn/9df3y/fv3o3v37haMjIhKsvh0FdRaAZkEyGUSJCHMcnMyGbKnSRAS4OtUPF1nRERlyRtvvAEg+5eksLAwgz/WazQanD9/Hi1atDDJvpVKJTZv3owZM2ZApVIhICAAw4YNw6RJk/Rj5HI5du3ahVGjRqFly5awt7dH3759sXDhQpPERERERNZBLpcXW/HPmmm1Wtja2sLOzq7UFG6LU6ELt66urqhSpYopYjGb8ePHo3///mjSpAmCg4OxevVqxMbGYsSIEZYOjYhKqPuPM/R3JX+i1hat27YIdJ29NpIEH4fcnwwgIqKCubq6AsjuuHV2doa9vb3+NYVCgebNm2PYsGEm2XejRo1w4sSJ546rVKkSdu7caZIYiIiIiMh6Fbpwq7tL7jfffGNwYVuSvPXWW0hISMDMmTNx79491KtXD//3f/9XqJtOEBHpaLQCD55kQqURMPfkMTIAjgob2NvKObctEVERrF27FkD2zcImTJhgsmkRiIhKO41WID5dhfuPM5CsykJ6lgZqrYBGGE4hprtilcsAW5kM9jZyuClt4OtkBx8HJa9piYhyKHThtlevXti4cSN8fHxQuXLlXHdHO3PmTLEFZ0qjRo3CqFGjLB0GEZUC8ekqZGm0+otQc3XbKuXZHyPRCgF7zm1LRPRCIiIiAGTf9yAmJgaSJKFGjRq5blZGRES5abQCfyWn4X5aBp5kaZChEfleE+uWq7WAWquFSq3FE7UGySo1kjOyUMPDicVbIqKnCl24DQsLw+nTp/HOO++UyJuTEREVt/g0FRRyOZ6os7sKJJi+eCsBsJFJUGu0yNQAPo6cJoGI6EWkpqZi9OjR2LRpEzQaDYDsueXeeustLFu2TD+lAhERGdJqBa4kPsKN5CdQF+EiWAvor6Hj01Vws7NFOd67gYgIQBEKt7t27cLevXvxyiuvmCIeIqIS54laAwkCGm3+nQWmoNZqoQVgJ+f8tkREL2ro0KH4888/sXPnTgQHB0OSJERHR+ODDz7AsGHD8MMPP1g6RCIiq6PRCvzz6AnuCgHtCzR1abQCWVoBhVyG+DQVC7dERE8VunBbsWJFuLi4mCIWIqISR6MVeKLWIC3LfDck0xECsJfL4GWv4MfJiIheUF7NCe3bt8dXX32FDh06WDAyIiLr9SBdhYSMTGiVL1ZoFQDUQsBBJiFDoy2e4IiISgFZYVf47LPPMGnSJNy8edME4RARlSzx6SqotQLmrJtKAOxtsn98CwnwtaKOBFVqKs6tWoXMR48sHQoRUaF4enrmOR2Cq6sr3N3dLRAREZF102gF/k5OR0bWixdaBQAbSYJaK2AnL3SZgoio1Cr0T8R33nkHhw4dQtWqVeHs7AwPDw+DBxFRWRKfpoJCJoOtTDJrx61GZM8HZiNZ1zQJB0aNwv4RI3CAN38kohJm6tSpGD9+PO7du6dfFhcXh4kTJ2LatGkWjIyIyPpotAJXEh7hQXpmsVwDS8DT62nBezcQEeVQ6KkSFi9ezBuSERE9laHRwlYuQ6ZGCxuZBK1WwBwf7lLIJMhlMtjbyq1mmoSEK1dwZeNGAMDlDRvQfOpUeNSsaeGoiIiMs2LFCvz1118ICAhApUqVAACxsbFQKpV48OABVq1apR975swZS4VJRGQV4tNVuPs4o9i2J5Oyu259HZRW1ZRARGRphS7choWF5fvakydPXiQWIqISx04uQ4paDQ2yuwTkchnS1RoIAZN14MplEuxt5dAKwN5GbqK9FN6JWbMgtNlla6HV4sSsWej03XcWjoqIyDg9evSwdAhERFZPoxWIS8vA+fhUPFEXT7uCDIC3vQKB7o7wcVBaTVMCEZE1KHThdvTo0Vi2bFmu5WlpaejcuTMOHz5cHHEREZUIPo5KJKuyIAOgFgBkEuSSBI0QEMj+2FdxFnAlAHIA6VkaKG1kVvNRspzdtu0A7AO7bomoZImIiLB0CEREVk03PUJs6pPiK9pKQHV3J9TydGLBlogoD4We43bfvn2YOnWqwbK0tDR06NABGo2m2AIjIioJfJ5+nEuSALVWQP30Lri6oq1OcV2GSsie2zZTo9Xv2xroum2rAggCUBX/dt0SEZUUycnJWLNmDcLDw5GYmAgge1qEO3fuWDgyIiLL002PoNGKwhcS8iAhu9OWRVsiovwVqXC7du1aLF68GADw6NEjtG3bFpIkYc+ePcUeIBGRNZPLJNTwcEIdL2c4K+XQCgG5BCjlMn23re6rTMr+t+6ytCiXp5IEyCXAw16BGh7WcZGbs9u2xdNlwU+/Xt6wAYkxMRaJi4ioMM6fP48aNWpg/vz5WLhwIZKTkwEAW7duRXh4uGWDIyKyMI1W4O+kNDzO1CCzGO7pYCMBTgo5qrg7WsX1LBGRtSp04TYwMBB79+7F7Nmz8fnnn6Ndu3ZQKBTYvXs3HB0dTREjEZFVk8sklHe2x38qeqFxOTeUd7aHh70tvB0UcLKVQYanUxxIkr5YK8vxNWcxtyDS0/G2chkC3Rys5iI3Z7et79NlfmDXLRGVLOPHj0dYWBiuXbsGOzs7/fKOHTviyJEjFoyMiMiydFMkxKdnFtsUYLZyGfyd7K3m02NERNaq0HPcAkC9evWwc+dOvPbaa2jWrBl27twJe3v74o6NiKhEkcsklHOyQzmnf3/h193A4WriY6RlaiCXAVoB4OnNy+QyCUIIaJ9zMzNdiVZIEmwkyWouchNjYnJ12+oEA7iOp3PdTpsGjxo1zB0eEZHRTp06hVWrVuVaXr58ecTFxVkgIiIiy9NoBS4nPMJfiWnFVrS1t5EhyMcFfo52VtOIQERkrYwq3DZs2BCSlPsHqlKpxN27d9GyZUv9sjNnzhRfdEREJZyuG9fP0Q7x6Srcf5yBB08ykanRAgL6m5jl/LiZrgNXkrKLvDIJECJ7W462ctjbyq3mIjevblsdXdft9addt52+/db8ARIRGcnOzg6pqam5lsfExMDb29sCERERWZau0/avxLQXnhoByL6+dVLIUc/bxaDRgYiI8mdU4bZHjx4mDoOIqHTL2Y2r0Qp9ETclU40sjRZZWoFMtUbfyaD7aiOTYCOToBWAq9IWWiFgbyO31GEYSIyJweUNGwDk7rbV0Xfdfv89mk+dyq5bIrJa3bt3x8yZM/HDDz8AACRJQmxsLCZPnow333zTwtEREZmf7mZkxVG0BbKbEjg9AhFR4RhVuI2IiDB1HFTGqFJTcWXjRtTu2xcKZ2dLh0NkVvlNqXDvUTouqR7hifR0GoWnc+JqBWBnI4OtDMjQCPg4WsfFbkHdtjrsuiWikmLhwoXo1KkTfHx88OTJE4SEhCAuLg7BwcGYPXu2pcMjIjIb3VRf5+6nIENTPBMkSAC87RWo5WkdN9clIiopijTH7fMIIfKcWoFI58CoUbj8/fe4c+wYOn33naXDIbI4uUyCv7M9ZF4u0Dq64FpyOtIyNZBJEuxsZJBLEjI0Wvg4KK2iS8GYblsddt0SUUng4uKCY8eO4eDBgzhz5gy0Wi0aNWqE1157zdKhERGZjW56hFsp6cVatHVSyFHF3ZFFWyKiQpI9fwhQu3ZtbNiwAZmZmQWOu3btGkaOHIn58+cXS3BUOiVcuaK/mdHlDRuQGBNj4YiIrIfsaQH3PxW90LicG8o728FRYQM3O1vU8HBCDQ/r6FIwpttWR9d1K5523RIRWbPWrVtjwoQJmDRpEou2RFTm6KZHUGuL61Zk2fdr4BQJRERFY1TH7bJly/DRRx9h9OjRaNeuHZo0aQJ/f3/Y2dkhKSkJly5dwrFjx3Dp0iWMGTMGo0aNMnXcVILpCj7Av4Ucdt0SGcprOgVrkbPbNgvAPiPWyXr6lV23RGSNtFotoqKisGXLFty8eROSJCEwMBA9e/ZE//79+UkyIioTNFqBv5PS8Djz3/suvCi5BFR1d+QUCURERWRU4bZ169Y4deoUoqOjsXnzZmzYsAE3b97EkydP4OXlhYYNG2LAgAF455134ObmZuKQqSTL2W3bDtkFn8sbNmQXcmrWtGhsRGSc24cP6//4Evv0YSyh1eL24cMs3BKR1RBCoFu3bvi///s/NGjQAPXr14cQApcvX0ZYWBi2bNmCbdu2WTpMIiKT0k2REJ+eWSxFWwnZ92io5OLAoi0R0Qso1By3LVq0QIsWz5vNkCh/OT9eHYTseS+vs+uWqESp3a8fNCoVVKmphV5X6eKC2n37miAqIqKiiYqKwpEjR/DLL78gNDTU4LWDBw+iR48e+PbbbzFgwAALRUhEZDoarUB8ugp/J6UVW9EWyC7aBvm4wM/RjkVbIqIXYJKbkxHlJWe3ra78r79pEbtuiUoMhZMTGr3/vqXDICIqFhs3bsTHH3+cq2gLZH/qbPLkyfj+++9ZuCWiUkejFbia+Bj30zKQnKEutk5bJ4Uc9bxdrHLKLyKiksaom5MRFYe8bmbEmxYRERGRJZ0/fx4dOnTI9/WOHTvi3LlzZoyIiMg84tNViE9XQZKkYuu0lXgjMiKiYsXCLZlFYkxMrm5bneCnXy9v2IDEq1fNGheVbqrUVJxbtQqZjx5ZOhQiIrJSiYmJ8PX1zfd1X19fJCUlmTEiIiLT092ILCUjCwlPsoqt29bbXsE5bYmIipHRhdt//vnHlHFQKZdXt60Ou27JVA6MGoX9I0bgwKhRlg6FiIislEajgY1N/rOHyeVyqNVqM0ZERGRaOW9Epi6mVlvdFAlV3B1ZtCUiKkZGz3Fbr149LF26FP379zdlPFQKJcbE4PKGDQByd9vq6Oe6/f777Lluecd5ekE551TmHMpERJQfIQTCwsKgVOb9sV6VSmXmiIiITCs+XYW7jzOKdZsyTpFARGQSRnfczpkzB6NHj8abb76JhIQEU8ZEpUxB3bY67Lql4qY77wCeV0RElL+BAwfCx8cHrq6ueT58fHx4YzIiKlXi01TI0hTXrLaAjUxCFXcHTpFARGQCRnfcjho1Ch07dsSQIUNQt25drF69Gt26dTNlbFQKGNNtq8OuWyouObtt2wHYB3bdEhFR3tauXWvpEIiIzCpDo4VA9vQGL1K+lUmAq9IWTjI71PJwZtGWiMgECnVzssDAQBw8eBBTp07Fm2++iaCgIDRq1MjgQZSTMd22Ouy6tX4l5WZfOc+7IPC8IiIiIiLSsZPL8KIlVgmAk60cNT0cUd7JjkVbIiITMbrjVufWrVv4+eef4eHhge7duxd4Mwcq23J222Yhu+vxebKefmXXrXU6MGoULn//Pe4cO4ZO331n6XDylLPbVtflre/mZtctEREREZVxPo5KxKeroNYCQhSu61YCIJcAe1s56nq7wNdBgfj0VFOFSkRU5hWq6vrVV1/hww8/xGuvvYaLFy/C29vbVHFRKXD78GH9HKOxTx/GElotbh8+zMKtFSkpN/vKq8tb1819/WnXrbUWnYmIiExFiOzSTGpqdoFFq9Xi0aNHsLOzg0xWqA/hUREw3+bDXD+fnVbARWQiJe0JMrSFmyxBQnbHrq+LPezUKqSmZjDfZsJz27yYb/Mpi7nWXY/prs8KYnThtkOHDjh58iS+/PJL3qCBjFK7Xz9oVCqoUgv/F1iliwtq9+1rgqioqPK62Ze1FUATY2JyddvqGHTdTpvGPwoQEVGZ8ujpNEcVK1a0cCREREREBGRfn7m6uhY4xujCrUajwfnz51GhQoUXDozKBoWTExq9/76lw6BikFhCbvZV0JzKubpuv/3W/AESERFZiL+/P27fvg1nZ2dIkoTU1FRUrFgRt2/fhouLi6XDK/WYb/Nhrs2L+TYf5tq8mG/zKYu5FkLg0aNH8Pf3f+5Yowu3+/fvf6GgiKjkOjF7tsHNvq7D+qYdyDmn8rPdtjr6rlvOoUxERGWMTCbLswHDxcWlzPySZA2Yb/Nhrs2L+TYf5tq8mG/zKWu5fl6nrU7ZmDyCiIos5do1xGzaBMDwZl9AdtdtYkyMReJ6VkHdtjq6rlvdVA9ERERERERERNaKhVsiKtCFJUvyvdmXtRRAjem21dEXnb//HolXr5o0LiIiIiIiIiKioipVhdvKlStDkiSDx+TJkw3GxMbGomvXrnB0dISXlxfef/99ZGZmWihiIuuWGBODW9u2Acj7Zl/A065bCxdAjem21bG2ojMREZElKJVKREREQKlUWjqUMoH5Nh/m2ryYb/Nhrs2L+TYf5rpgkhBCWDqI4lK5cmUMGTIEw4YN0y9zcnKCk5MTgOwbrL300kvw9vbGZ599hoSEBAwcOBBvvPEGli5davR+UlNT4erqipSUFLi4uECr1SI+Ph4+Pj6QyUpVLdwqMd/ms+udd3D5++9RFcDreby+Fdlzxtbp399iN/tKjInB2jp1ILRaVALgZsQ6yQBiAUgyGQZdvmw1c93y3DYf5tq8mG/zKYu5fva6jIiIiIiotDD65mQlhbOzM/z8/PJ8bd++fbh06RJu376tv3PbZ599hrCwMMyePTvfi32VSgWVSqV/npqaCiD7lyPdQwgBrVZbzEdDeWG+zSMxJgZXNm4EYNzNvpp9/DHcLVAAjT14EOLpuRD79GEsodUi9uBBuFWrZpLYCovntvkw1+bFfJtPWcx1WTpWIiIiIipbSl3hdv78+fj0009RsWJF9OrVCxMnToRCoQAAHD9+HPXq1dMXbQGgffv2UKlUOH36NEJDQ/Pc5ty5czFjxoxcyx88eICMjAxotVqkpKRACFFmulssifk2j9+mTTP6Zl/XtVocnjYNLQvRuV5cPNu1Q5NPP0XWo0eFXtfW2RmebdsiPj7eBJEVHs9t82GuzYv5Np+ymOtHRfj5T0RERERUEpSqwu0HH3yARo0awd3dHSdPnkR4eDhu3LiBNWvWAADi4uLg62tYgnJ3d4dCoUBcXFy+2w0PD8f48eP1z1NTU1GxYkV4e3vrp0qQJAne3t5l5pckS2K+TS8xJgY3t24FYNzNvq4DuLllC1p9+qlFum7Lf/yx2fdpCjy3zYe5Ni/m23zKYq7t7OwsHQIRERERkUlYfeF2+vTpeXa75nTq1Ck0adIE48aN0y8LCgqCu7s7evbsifnz58PT0xMAIElSrvWFEHku11EqlXlOkiyTyfS/FEmSZPCcTIv5Nq2Tc+YU+mZf17Va/D5njsXmui0teG6bD3NtXsy3+ZS1XJeV4yQiIiKissfqC7djxozB22+/XeCYypUr57m8efPmAIC//voLnp6e8PPzw++//24wJikpCVlZWbk6cYnKqsSYGFzesAEAkAVgnxHrZD39evn779F86lSrudkXEREREREREVFJZfUtCl5eXqhVq1aBj/w+Inf27FkAQLly5QAAwcHBuHjxIu7du6cfs2/fPiiVSjRu3Nj0B0NUAtw+fNjgZl/njXjobggmtFrcPnzYzBETERFRQbp164ZKlSrBzs4O5cqVQ//+/XH37l2DMbGxsejatSscHR3h5eWF999/H5mZmQZjLly4gJCQENjb26N8+fKYOXMmhBDmPBSrdvPmTQwZMgSBgYGwt7dH1apVERERkSuPzHXxmT17Nlq0aAEHBwe4ubnlOYb5Np3ly5cjMDAQdnZ2aNy4MY4ePWrpkEqkI0eOoGvXrvD394ckSdi2bZvB60IITJ8+Hf7+/rC3t0erVq3wv//9z2CMSqXCe++9By8vLzg6OqJbt274559/zHgUJcPcuXPx8ssvw9nZGT4+PujRowdiYmIMxjDfxWPFihUICgqCi4sLXFxcEBwcjN27d+tfZ56NZ/Udt8Y6fvw4Tpw4gdDQULi6uuLUqVMYN26c/kIVANq1a4c6deqgf//+WLBgARITEzFhwgQMGzYMLi4uFj4Csgaq1FRc2bgRtfv2hcLZ2dLhWETtfv2gUamgSk2FEAJpjx/D0cmpwOlEdJQuLqjdt68ZoiQiIiJjhYaG4uOPP0a5cuVw584dTJgwAT179kR0dDQAQKPRoHPnzvD29saxY8eQkJCAgQMHQgiBpU9vPJqamoq2bdsiNDQUp06dwtWrVxEWFgZHR0d8+OGHljw8q3HlyhVotVqsWrUK1apVw8WLFzFs2DCkpaVh4cKFAJjr4paZmYlevXohODgYX3/9da7XmW/T2bx5M8aOHYvly5ejZcuWWLVqFTp27IhLly7pf/8m46SlpaFBgwYYNGgQ3nzzzVyvR0ZGYtGiRYiKikKNGjUwa9YstG3bFjExMXB++jvr2LFjsWPHDmzatAmenp748MMP0aVLF5w+fRpyudzch2S1fv31V4wePRovv/wy1Go1pkyZgnbt2uHSpUtwdHQEwHwXlwoVKmDevHmoVq0aAGDdunXo3r07zp49i7p16zLPhSFKidOnT4tmzZoJV1dXYWdnJ2rWrCkiIiJEWlqawbhbt26Jzp07C3t7e+Hh4SHGjBkjMjIyCrWvlJQUAUCkpKQIIYTQaDTi3r17QqPRFNvxUP5Mme+d/fqJBYDY9c47xb7tkojntnkx3+bDXJsX820+ZTHXz16X0fP997//FZIkiczMTCGEEP/3f/8nZDKZuHPnjn7Mxo0bhVKp1Od1+fLlwtXV1eC6ee7cucLf319otVrzHkAJEhkZKQIDA/XPmWvTWLt2rXB1dc21nPk2naZNm4oRI0YYLKtVq5aYPHmyhSIqHQCIrVu36p9rtVrh5+cn5s2bp1+WkZEhXF1dxcqVK4UQQiQnJwtbW1uxadMm/Zg7d+4ImUwm9uzZY7bYS6L4+HgBQPz6669CCObb1Nzd3cWaNWuY50Ky+qkSjNWoUSOcOHECycnJePLkCa5cuYLp06fDwcHBYFylSpWwc+dOpKenIyEhAUuXLs3zxmNU9iRcuYIrGzcCAC5v2IDEZz4yQURERFTSJSYm4vvvv0eLFi1ga2sLIPuTa/Xq1YO/v79+XPv27aFSqXD69Gn9mJCQEIPr5vbt2+Pu3bu4efOmWY+hJElJSYGHh4f+OXNtXsy3aWRmZuL06dNo166dwfJ27drpO/mpeNy4cQNxcXEGuVYqlQgJCdHn+vTp08jKyjIY4+/vj3r16vH9eI6UlBQA0P+cZr5NQ6PRYNOmTUhLS0NwcDDzXEilpnBL9KJOzJqln9tVaLU4MWuWhSMiIiIiKh4fffQRHB0d4enpidjYWPz3v//VvxYXF5frRr3u7u5QKBSIi4vLd4zuuW4MGbp+/TqWLl2KESNG6Jcx1+bFfJvGw4cPodFo8swbc1a8dPksKNdxcXFQKBRwd3fPdwzlJoTA+PHj8corr6BevXoAmO/iduHCBTg5OUGpVGL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      "text/plain": [
       "<Figure size 1400x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stations in Cartesian (local coords):\n",
      "  1: AC01   X=  54.163 km  Y= -20.087 km  Z= 0.000 km\n",
      "  2: A30C   X= -48.273 km  Y= -40.729 km  Z= 0.000 km\n",
      "  3: A18C   X= -96.347 km  Y= -46.650 km  Z= 0.000 km\n",
      "  4: GO02   X= 164.204 km  Y=  80.289 km  Z= 0.000 km\n",
      "  5: AC04   X=-174.433 km  Y= -63.810 km  Z= 0.000 km\n",
      "  6: A10C   X=-215.497 km  Y= -32.183 km  Z= 0.000 km\n",
      "  7: AC05   X=-243.263 km  Y=  15.460 km  Z= 0.000 km\n",
      "  8: A32C   X=-274.466 km  Y= -94.791 km  Z= 0.000 km\n",
      "  9: PB19   X= 303.481 km  Y= 110.129 km  Z= 0.000 km\n",
      "  10: A24F   X= 335.603 km  Y=  10.998 km  Z= 0.000 km\n"
     ]
    }
   ],
   "source": [
    "# Plot with stations in Cartesian coordinates\n",
    "stations_cart = fm.stations_array(latlon=False)  # [nstations x 4]: [index, x, y, z]\n",
    "st_x = stations_cart[:, 1] / 1000.0  # Convert to km\n",
    "st_y = stations_cart[:, 2] / 1000.0\n",
    "st_z = stations_cart[:, 3] / 1000.0\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(14, 5))\n",
    "\n",
    "# Planta XY with subfaults and stations\n",
    "ax[0].scatter(x, y, c='lightblue', s=30, alpha=0.6, label='Subfaults')\n",
    "ax[0].scatter(st_x, st_y, c='red', s=100, marker='^', edgecolors='darkred', \n",
    "              linewidth=1.5, label='Stations', zorder=5)\n",
    "ax[0].set_title('Fault geometry + Stations (Local XY)')\n",
    "ax[0].set_xlabel('X (km) [North]')\n",
    "ax[0].set_ylabel('Y (km) [East]')\n",
    "ax[0].set_aspect('equal')\n",
    "ax[0].grid(True, alpha=0.3)\n",
    "ax[0].legend()\n",
    "\n",
    "# Seccion XZ with subfaults and stations\n",
    "ax[1].scatter(x, -z, c='lightblue', s=30, alpha=0.6, label='Subfaults')\n",
    "ax[1].scatter(st_x, -st_z, c='red', s=100, marker='^', edgecolors='darkred',\n",
    "              linewidth=1.5, label='Stations', zorder=5)\n",
    "ax[1].set_title('Cross-section X-Z (Local Cartesian)')\n",
    "ax[1].set_xlabel('X (km) [North]')\n",
    "ax[1].set_ylabel('Depth (km)')\n",
    "ax[1].set_aspect('equal')\n",
    "ax[1].grid(True, alpha=0.3)\n",
    "ax[1].legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "print(f\"Stations in Cartesian (local coords):\")\n",
    "for i, st in enumerate(fm.cfg.stations.stations, start=1):\n",
    "    print(f\"  {i}: {st.name:6s} X={st_x[i-1]:8.3f} km  Y={st_y[i-1]:8.3f} km  Z={st_z[i-1]:6.3f} km\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0410d555",
   "metadata": {},
   "source": [
    "## Forward model with axitra wrapper (Cartesian workflow)\n",
    "\n",
    "Orden recomendado del flujo actualizado:\n",
    "1. Parsear `input.ctl` y construir geometr\u00eda base invariante.\n",
    "2. Aplicar el modelo el\u00edptico de 7 par\u00e1metros (incluye $\\mu(z)$ y \u00e1rea por subfalla).\n",
    "3. Calcular $M_0$ y $M_w$ para ese modelo.\n",
    "4. Pasar estaciones y fuentes al sistema cartesiano local (`latlon=False`).\n",
    "5. Calcular funciones de Green (`moment.green`).\n",
    "6. Ejecutar convoluci\u00f3n (`moment.conv`).\n",
    "\n",
    "Nota: en este ejemplo usamos sistema local x-y-z para mantener consistencia geom\u00e9trica."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a2f3079a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=========================\n",
      "Subfaults: 25\n",
      "axitra sources: 150\n",
      "MT enabled: True\n",
      "Cartesian mode (latlon=False): True\n",
      "Axitra id: 797 nfreq: 256 nsource: 150\n"
     ]
    }
   ],
   "source": [
    "from src.forward_model import AxitraForwardModel\n",
    "\n",
    "# Step 1: cargar parser/modelo de alto nivel\n",
    "fm = AxitraForwardModel(str(input_ctl))\n",
    "\n",
    "# Step 2: construir geometria/falla con un Vr candidato\n",
    "geom_fw = fm.build_geometry(rupture_velocity_km_s=2.486)\n",
    "\n",
    "# Step 3: construir instancia Axitra en cartesiano local\n",
    "# latlon=False => estaciones convertidas a x/y locales y sources en x/y locales\n",
    "ap = fm.build_axitra(\n",
    "    geom_fw,\n",
    "    fmax=None,      # por defecto: 1/Delta / 2 desde input.ctl\n",
    "    duration=None,  # por defecto: t2 - t1\n",
    "    latlon=False,\n",
    "    xl=0.0,\n",
    "    freesurface=True,\n",
    "    ikmax=100000,\n",
    "    aw=2.0,\n",
    ")\n",
    "\n",
    "print('Subfaults:', geom_fw.nsubfaults)\n",
    "print('axitra sources:', geom_fw.nsources)\n",
    "print('MT enabled:', geom_fw.mt_enabled)\n",
    "print('Cartesian mode (latlon=False):', ap.latlon == False)\n",
    "print('Axitra id:', ap.id, 'nfreq:', ap.nfreq, 'nsource:', ap.nsource)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be08e946",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " running axitra Moment Version 20212403.1\n",
      " running openMp on            6  threads\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  with          150 source(s) and            7 receiver(s) and            2 layer(s)\n",
      " ................. with a free surface at depth Z=0\n",
      " distance unit is detected as meter\n",
      "freq   256/  256 iter=      279 Done\n",
      "[PROJECT_ROOT]/Kinematic_inversion/axitra/axitra ran sucessfully\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      " Moment (Nm):   1520000000000000.0     \n",
      " Moment (Dyne.cm):   1.5200000000000000E+022\n",
      " Moment (Nm):   29600000000000000.     \n",
      " Moment (Dyne.cm):   2.9599999999999998E+023\n",
      " Moment (Nm):   18900000000000000.     \n",
      " Moment (Dyne.cm):   1.8900000000000000E+023\n",
      " Moment (Nm):   5.1900000000000000E+017\n",
      " Moment (Dyne.cm):   5.1899999999999995E+024\n",
      " Moment (Nm):   1.0300000000000000E+017\n",
      " Moment (Dyne.cm):   1.0300000000000000E+024\n",
      " Moment (Nm):   5.1400000000000000E+017\n",
      " Moment (Dyne.cm):   5.1400000000000005E+024\n",
      "Shapes: (512,) (7, 512) (7, 512) (7, 512)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " running openMp on            6  threads\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1) Green functions (puede tardar dependiendo de la malla y frecuencia)\n",
    "ap = fm.green(ap, quiet=True)\n",
    "\n",
    "# 2) Convolution con source_type=1 (Ricker), usando hist generado desde la geometria\n",
    "t, sx, sy, sz = fm.conv(\n",
    "    ap,\n",
    "    geom_fw,\n",
    "    source_type=1,\n",
    "    t0=float(fm.cfg.ellipse.t0),\n",
    "    quiet=True,\n",
    "  )\n",
    "\n",
    "print('Shapes:', t.shape, sx.shape, sy.shape, sz.shape)\n",
    "\n",
    "# Quicklook: componente X para la primera estacion\n",
    "plt.figure(figsize=(10, 4))\n",
    "plt.plot(t, sx[0, :], color='tab:red', lw=1.5)\n",
    "plt.title('Synthetic displacement - station 1 - X component')\n",
    "plt.xlabel('Time (s)')\n",
    "plt.ylabel('Displacement')\n",
    "plt.grid(alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "try:\n",
    "    ap.clean()\n",
    "except Exception:\n",
    "    pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c31ce6f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "512"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('npts:', t.size)\n",
    "print('dt  :', float(t[1] - t[0]) if t.size > 1 else np.nan)\n",
    "print('sx shape:', sx.shape, '(nstations, npts)')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
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