{ "cells": [ { "cell_type": "markdown", "id": "VSC-70a5af1f", "metadata": { "language": "markdown" }, "source": [ "# Inspecting Temperature and Chemistry Profiles\n", "\n", "The [Transmission spectrum basics](https://escience-taurex.github.io/taurex3/examples/03_transmission_basics.html) and [Emission spectrum basics](https://escience-taurex.github.io/taurex3/examples/04_emission_basics.html) walkthroughs produced spectra; the emission example used an isothermal temperature profile and the result was a relatively featureless thermal emission curve. This notebook goes one level deeper and looks at the vertical structure sitting behind every spectrum. Understanding these profiles is essential for interpreting model outputs, and [Contribution analysis](https://escience-taurex.github.io/taurex3/examples/07_contribution_analysis.html) builds directly on the intuition developed here.\n", "\n", "The vertical temperature and composition profiles determine what the spectrum encodes. A temperature inversion turns absorption features into emission peaks. A gradient in mixing ratio can mimic or mask a spectral signal from a different gas. Plotting these profiles alongside the spectrum is the most direct path from model output to physical understanding.\n", "\n", "This example uses a `Guillot2010` temperature profile, which produces a physically realistic lapse rate with an optional stratospheric inversion. More information about temperature profiles is [here](../user/taurex/temperature.rst), chemistry options are [here](../user/taurex/chemistry.rst), and model-derived quantities are [here](../user/taurex/derived.rst)." ] }, { "cell_type": "markdown", "id": "4590bd61", "metadata": {}, "source": [ "## Data Note\n", "\n", "This notebook uses the opacity files set up in [Setup and opacity data](https://escience-taurex.github.io/taurex3/examples/01_setup_and_data.html). TauREx provides the software to work with these datasets; the files themselves are third-party products from [ExoMol](https://www.exomol.com)." ] }, { "cell_type": "code", "execution_count": 1, "id": "VSC-55e5b8e7", "metadata": { "language": "python" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Guillot2010\n", "Gases: ['H2', 'He', 'H2O', 'CH4', 'NH3', 'CO2']\n" ] } ], "source": [ "from _shared import build_emission_model\n", "from taurex.temperature import Guillot2010\n", "\n", "temperature_profile = Guillot2010(T_irr=1500)\n", "context = build_emission_model(temperature_profile=temperature_profile, download=False)\n", "temperature_profile.initialize_profile(\n", " planet=context['planet'],\n", " nlayers=context['press'].nLayers,\n", " pressure_profile=context['press'].profile,\n", ")\n", "em = context['em']\n", "\n", "print(type(temperature_profile).__name__)\n", "print('Gases:', em.chemistry.gases)" ] }, { "cell_type": "markdown", "id": "VSC-80632965", "metadata": { "language": "markdown" }, "source": [ "## Temperature Profile\n", "\n", "The T–P profile governs which pressure levels contribute most to the emergent spectrum. In an emission model, layers where the temperature gradient is steepest imprint the strongest molecular features — an inversion can turn an absorption line into an emission peak. Even without an inversion, a realistic lapse rate produces noticeably more structured spectra than the isothermal baseline in [Emission spectrum basics](https://escience-taurex.github.io/taurex3/examples/04_emission_basics.html).\n", "\n", "More information about temperature profile families and their parameters is [here](../user/taurex/temperature.rst)." ] }, { "cell_type": "code", "execution_count": 2, "id": "VSC-0288180f", "metadata": { "language": "python" }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "plt.figure(figsize=(6, 5))\n", "plt.plot(em.temperatureProfile, em.pressureProfile, lw=2)\n", "plt.gca().invert_yaxis()\n", "plt.yscale('log')\n", "plt.xlabel('Temperature (K)')\n", "plt.ylabel('Pressure (Pa)')\n", "plt.title('Vertical temperature structure')\n", "plt.grid(alpha=0.2)" ] }, { "cell_type": "markdown", "id": "VSC-83adcf89", "metadata": { "language": "markdown" }, "source": [ "## Chemical Mixing-Ratio Profiles\n", "\n", "Knowing the temperature profile alone is not enough — we also need to know which gases are present at each altitude. Plotting the volume mixing ratio (VMR) of each species against pressure shows which absorbers are available at depth. For a uniform (constant-with-altitude) chemistry, all gas profiles are flat; other chemistry models can introduce vertical gradients that reshape individual spectral features." ] }, { "cell_type": "code", "execution_count": 3, "id": "VSC-857b6b56", "metadata": { "language": "python" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Temperature range: 1395.7 K to 1660.4 K\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(6, 5))\n", "for index, gas_name in enumerate(em.chemistry.gases):\n", " plt.plot(em.chemistry.mixProfile[index], em.pressureProfile / 1e5, label=gas_name, lw=2)\n", "plt.gca().invert_yaxis()\n", "plt.yscale('log')\n", "plt.xscale('log')\n", "plt.xlabel('VMR')\n", "plt.ylabel('Pressure (bar)')\n", "plt.title('Mixing-ratio profiles')\n", "plt.legend()\n", "plt.grid(alpha=0.2)\n", "\n", "print(f'Temperature range: {em.temperatureProfile.min():.1f} K to {em.temperatureProfile.max():.1f} K')" ] }, { "cell_type": "markdown", "id": "910b0037", "metadata": {}, "source": [ "## Derived Quantities\n", "\n", "The model also computes several derived profiles: number density, altitude above the reference pressure level, and layer-by-layer mean molecular weight. These are useful both as sanity checks — does the scale height match expectations for the assumed temperature and mean molecular weight? — and as physical inputs for post-processing workflows.\n", "\n", "More derived quantities are documented [here](../user/taurex/derived.rst)." ] }, { "cell_type": "code", "execution_count": 4, "id": "a53005ac", "metadata": {}, "outputs": [ { "data": { "image/png": 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KAAAAzEeQDgAAAAAe7pdNR3TvJ2uVlWuTJLWuHaYPh3dQVLCfyZUBAAA4B4J0AAAAAPBgn6zYrye+2ijb6eXPL7uwuiYOaa8gP94uAgAAFOCVEQAAAAB4IMMw9NaCnfrf/O32sWvbxui/N7SRr7fVxMoAAACcD0E6AAAAAHiYPJuhZ779Wx//td8+NqprA43r21xWq8XEygAAAJwTQToAAAAAeJDMnDw9OGedfvr7iH3siX7NNeqyhiZWBQAA4NwI0gEAAADAQyRn5uiOGav01+5TkiRvq0Wv3tha17WrbXJlAAAAzo0gHQAAAAA8wLHkTMVPW6kth5MlSYG+Xpo4NFbdLqxucmUAAADOjyAdAAAAANzcnhNpGvbhcv1zKkOSFBHoo2kjOqptnXBzCwMAAHARBOkAAAAA4MY2HkjS8GkrdDItW5JUKzxAM27vqEbVg02uDAAAwHUQpAMAAACAm/pzxwmNnrlKadl5kqSmNUL00W0dVTPM3+TKAAAAXAtBOgAAAAC4oe/WH9LYz9YpJ8+QJHWoH6Gp8R0UFuBjcmUAAACuhyAdAAAAANzMR0v36tnvNsnIz9DVs3kNvTO4nfx9vMwtDAAAwEURpAMAAACAmzAMQ//7dbve+m2nfeymuDp66bqW8vaymlgZAACAayNIBwAAAAA3kGcz9OTXf+uTFfvtY/f0aKSHrmwqi8ViYmUAAACujyAdAAAAAFxcZk6eHvh0neZtOmIfe2bARRpxSQMTqwIAAHAfBOkAAAAA4MJSMnM0asYq/bX7lCTJ22rR64Pa6Jq2tUyuDAAAwH0QpAMAAACAizqekqXh01Zo06FkSVKgr5cmDo1Vtwurm1wZAACAeyFIBwAAAAAXtP9kum79cLn2nUyXJEUE+ujD4R3Urm6EyZUBAAC4H4J0AAAAAHAxmw8lK37aCh1PyZIkxYT5a8btndQ4OtjkygAAANwTQToAAAAAuJAVe07p9o9WKiUzV5LUODpYM2/vqAvCAkyuDAAAwH0RpAMAAACAi5i/+ajumb1GWbk2SVK7uuH6ML6DIoJ8Ta4MAADAvRGkAwAAAIALmLvqHz325Ubl2QxJUrcLq2vi0PYK9OVtHQAAQGXjFRcAAAAAOLn3F+3Sf37cat++uk2MXruxjXy9rSZWBQAA4DkI0gEAAADASRmGoVfmbdXkP3bbx4ZfXF9PX3WRrFaLiZUBAAB4FoJ0AAAAAHBCuXk2Pf7VRn226oB97P96XagxlzeWxUKIDgAAUJUI0gEAAADAyWTm5Om+T9bql81HJUkWi/T8NS11a+d6JlcGAADgmQjSAQAAAMCJpGTmaNSMVfpr9ylJko+XRf+7qa2uah1jcmUAAACeiyAdAAAAAJzEidQsDZ+2Qn8fTJYkBfp6afKtserapLrJlQEAAHg2gnQAAAAAcAIHEtJ16wcrtOdEmiQpItBH00Z0VNs64eYWBgAAAIJ0AAAAADDb9qMpGvbBCh1JzpQkXRDmr5m3d1Tj6BCTKwMAAIBEkA4AAAAAplq7P0Ejpq9UYnqOJKlh9SDNvL2TaoUHmFwZAAAAChCkAwAAAIBJFu84rtEzVys9O0+S1Lp2mKYN76BqwX4mVwYAAIDCCNIBAAAAwAQ/bDisB+asVU6eIUm6uFE1vT8sTsF+vE0DAABwNrxCAwAAAIAqNnv5fj3x9UYZ+Rm6ereooTdvbid/Hy9zCwMAAECJCNIBAAAAoIoYhqH3ft+lV3/eZh8bFFdb/7mulby9rCZWBgAAgHMhSAcAAACAKmAYhv7z4xZNWbzHPjb6soZ6rG8zWSwWEysDAADA+RCkAwAAAEAly82zadyXGzV39QH72KN9mumu7o1MrAoAAAClRZAOAAAAAJUoMydP93+6Vj9vOipJslqkl65rpVs61jW5MgAAAJQWQToAAAAAVJLUrFyNnrlaS3edlCT5eFn05s3t1K/VBSZXBgAAgLIgSAcAAACASpCYkaP7Pl6uDQeSJEmBvl6afGusujapbnJlAAAAKCuCdAAAAABwsCNJmbpt1kbtPpEhSQoL8NG0ER3Uvm6EyZUBAACgPAjSAQAAAMCB9p5I05Cpy3UwMT9Ejw7x08zbO6lpzRCTKwMAAEB5EaQDAAAAgINsPpSsYR+u0InULElS3chAfXx7J9WtFmhyZQAAAKgIgnQAAAAAcIDV+05pxLSVSs7MlSQ1rh6oWSM7q0ZYgMmVAQAAoKII0gEAAACggv7YflyjZ65SZo5NktSuTrgmDLxQ0aH+JlcGAAAARyBIBwAAAIAK+GHDYT0wZ61y8gxJUtcmUZo0tL1yMtJMrgwAAACOYjW7AAAAAABwVZ+u2K97P1ljD9H7tqypqfFxCvTlnCUAAAB3wqs7AAAAACiH9xft0n9+3GrfHhRXW/+5rpW8vawyDMPEygAAAOBoBOkAAAAAUAaGYei1X7bp3YW77GOjujbQ4/2ay2KxmFgZAAAAKovbL+2ybds2tW3b1v4nICBAX3/9tdllAQCAs6B3A3BmNpuhp7/ZVCRE/79eFxKiw6PRuwEAnsDtz0hv2rSp1q1bJ0lKTU1V/fr11atXL3OLAgAAZ0XvBuCscvJsenjuen297pB97PlrWmhYl/rmFQU4AXo3AMATuH2QXti3336rK664QkFBQWaXAgAASoHeDcBZZObkaczsNZq/5Zgkyctq0Ws3ttZ17WqbXBngXOjdAAB3ZfrSLosWLdKAAQMUExMji8VS4se/3n33XdWvX1/+/v7q1KmTVqxYUa7v9dlnn+mmm26qYMUAAHg2ejcAT5OalasR01baQ3Rfb6smDmlPiA6XQe8GAKDiTD8jPS0tTW3atNFtt92mgQMHFrt9zpw5Gjt2rCZNmqROnTppwoQJ6t27t7Zt26bo6GhJUtu2bZWbm1vssb/88otiYmIkScnJyVq6dKk+/fTTc9aTlZWlrKws+3ZycrKk/AsKGYZR7nmq0EMrvC+TFNTtirUXYA7OgTmYz9XrlzxjDs46N4/p3XKPf2clcdd5Se47N+ZlnoS0bA2fvlIbDiRJkgJ9vTRlWKwubhR1zrpdYW7l4a7zkhwzN2c9Lp7Uu92JO/+8VRVPO4aVMU9PO4aVgWPoGJV1HMuyP9OD9L59+6pv375nvf2NN97QqFGjNGLECEnSpEmT9MMPP+jDDz/UY489Jkn2tdjO5ZtvvtGVV14pf3//c97v5Zdf1nPPPVdsPCkpqUJPVE6hFxzJycmy5PiUe19mMQxDqampkuSyF1JiDs6BOZjP1euXPGMOBW8qnY2n9G7JPf6dlcRd5yW579yYlzmOp2brrjmbtPN4uiQp1N9b7w66SC2ifJSUlHTOxzr73MrLXeclOWZu9G7ze7c7ceeft6riCcfQZtjsf5+vN5WHJxzDysYxdIzKOo5l6d2mB+nnkp2drdWrV2vcuHH2MavVqp49e2rZsmVl2tdnn32mO+6447z3GzdunMaOHWvfTk5OVp06dRQWFqbQ0NAyfc/CfLzPHOrQ0FCFBfqWe19mKXhBExYW5rI/+MzBOTAH87l6/ZJnzMEV5+VOvVtyj39nJXHXeUnuOzfmVfX+OZWu22ev1f5T+SF69RA/zbyto5rWDCnV4515bhXhrvOSHDM3Vzwm7ta73Yk7/7xVFU84hlaL1f53WFiYw/fvCcewsnEMHaOyjmNZ9uXUQfqJEyeUl5enGjVqFBmvUaOGtm7dWur9JCUlacWKFfriiy/Oe18/Pz/5+fkVG7dYLBV7kgo9tML7MlFB7a5av8QcnAVzMJ+r1y+5/xxccV5u1bv/tR9XfD7OxV3nJbnv3JhX1dl5LEVDp67QkeRMSVLtiADNGtlJ9aqV7eKJzjg3R3DXeUkVn5srHhN37N3uxJ1/3qqKJx3DypqjJx3DysIxdIzKOI5uE6Q7SlhYmI4ePWp2GQAAoJTo3QDMsvFAkoZ9uFwJ6TmSpMbRwfr49k6qGXbupSoAT0fvBgC4O6cO0qOiouTl5VWsGR89elQ1a9Y0qSoAAHA29G4ArmzFnlO6ffpKpWTlX9+oZa1QfTSio6oFFz9zFnAX9G4AAErHanYB5+Lr66vY2FgtWLDAPmaz2bRgwQJ16dLFxMoAAEBJ6N0AXNXv245p2IfL7SF6h/oRmj2qMyE63B69GwCA0jH9jPTU1FTt3LnTvr1nzx6tW7dOkZGRqlu3rsaOHav4+HjFxcWpY8eOmjBhgtLS0uxXEwcAAFWL3g3A3fy08bDu+3StcvLyL2J12YXVNXlorAJ8vUyuDHAMejcAABVnepC+atUq9ejRw75dcOXu+Ph4TZ8+XTfddJOOHz+up59+WkeOHFHbtm01b968YhdCAQAAVYPeDcCdzF31jx79YoNs+Rm6+rWqqQk3tZOvt1N/eBcoE3o3AAAVZ3qQ3r17dxmGcc77jBkzRmPGjKmiigAAwLnQuwG4i+lL9ujZ7zbbt2+Ira1XBraStxchOtwLvRsAgIozPUgHAAAAgKpkGIbe+32XXv15m31s+MX19fRVF8lqtZhYGQAAAJwVQToAAAAAj2EYhl6Zt1WT/9htH7v38sYa2+tCWSyE6AAAACgZQToAAAAAj2CzGXr627/18V/77WOP9W2mO7s1MrEqAAAAuAKCdAAAAABuLzfPpkc+36Av1x6UJFks0gvXtNTQzvVMrgwAAACugCAdAAAAgFvLys3T/Z+s07xNRyRJXlaLXruxta5rV9vkygAAAOAqCNIBAAAAuK2M7DyN/ni1Fm0/Lkny9bLqrVvaqU/LmiZXBgAAAFdCkA4AAADALaVk5uj26au0Yu8pSZK/j1Xv3xqnyy6sbnJlAAAAcDUE6QAAAADcTkJatoZPW6H1B5IkSSF+3vpwRAd1qB9pcmUAAABwRQTpAAAAANzKsZRM3Tp1hbYdTZEkRQT6aMZtndSqdpjJlQEAAMBVEaQDAAAAcBuHEjM0ZOpy7TmRJkmqHuKnWSM76cIaISZXBgAAAFdGkA4AAADALew9kaYhU5frYGKGJKlWeIBmjeyk+lFBJlcGAAAAV0eQDgAAAMDlbT+aoiFTl+t4SpYkqUFUkD4e2Um1wgNMrgwAAADugCAdAAAAgEvbeCBJwz5croT0HElS0xohmjmyo6JD/E2uDAAAAO6CIB0AAACAy1q975SGf7hSKVm5kqTWtcP00YiOigjyNbkyAAAAuBOCdAAAAAAuacnOExr50Spl5ORJkjrUj9CHwzsoxN/H5MoAAADgbgjSAQAAALic37Ye1Z0fr1F2rk2S1LVJlCbfGqtAX97iAAAAwPF4lQkAAADApfy48bDu+2Stcm2GJKnXRTX0zuB28vP2MrkyAAAAuCuCdAAAAAAu48s1B/TQ3PU6naFrQJsYvTGojXy8rOYWBgAAALdWriA9KytLy5cv1759+5Senq7q1aurXbt2atCggaPrAwAADkDvBuAOZi3fpye++tu+fWNsbb1yfWt5WS0mVgVUDno3AADOpUxB+pIlS/Tmm2/qu+++U05OjsLCwhQQEKBTp04pKytLDRs21B133KE777xTISEhlVUzAAAoJXo3AHcxdfFuvfjDFvt2fJd6emZAC1kJ0eFm6N0AADinUn/+8eqrr9ZNN92k+vXr65dfflFKSopOnjypAwcOKD09XTt27NCTTz6pBQsW6MILL9Svv/5amXUDAIDzoHcDcBfv/LajSIh+Z7dGevZqQnS4H3o3AADOq9RnpPfv319ffPGFfHx8Sry9YcOGatiwoeLj47V582YdPnzYYUUCAICyo3cDcHWGYejVn7fpvd932cfG9rpQ917eWBYLITrcD70bAADnVeoz0kePHi0fHx/l5eVp0aJFSkxMPOt9L7roIl1xxRWOqA8AAJQTvRuAKzMMQ899t7lIiP54v2a674omhOhwW/RuAACcV5kvbe/l5aUrr7xSCQkJlVEPAABwMHo3AFdjsxl6/KuNmr50r33shWta6I7LGplXFFCF6N0AADifMgfpktSyZUvt3r3b0bUAAIBKQu8G4Cpy82z6v7nr9cmKfyRJVov06g2tdWuX+uYWBlQxejcAAM6lXEH6iy++qIceekjff/+9Dh8+rOTk5CJ/AACAc6F3A3AF2bk23fvJWn219qAkyctq0YSb2+nGuDomVwZUPXo3AADOpdQXGy2sX79+kvKvKF54fULDMGSxWJSXl+eY6gAAgEPQuwE4u8ycPN0za40WbD0mSfL1surtwe3Uu0VNkysDzEHvBgDAuZQrSF+4cKGj6wAAAJWI3g3AmWVk52n0x6u1eMcJSZKft1WTb41V96bRJlcGmIfeDQCAcylXkN6tWzdH1wEAACoRvRuAs0rLytUdc1ZqxZ5TkqRAXy9NjY/TxY2iTK4MMBe9GwAA51KuIL1Aenq69u/fr+zs7CLjrVu3rlBRAACgctC7ATiT5Iwc3TVnszYcSpEkhfh5a/ptHRRbL9LkygDnQe8GAMA5lCtIP378uEaMGKGffvqpxNtZqw0AAOdC7wbgbBLSsnXrB8v19+kQPTzQRzNu66jWtcPNLQxwEvRuAACci7U8D3rggQeUmJio5cuXKyAgQPPmzdNHH32kJk2a6Ntvv3V0jQAAoILo3QCcyfGULN38/l/6+1CyJKlakK8+GdWZEB0ohN4NAIBzKdcZ6b/99pu++eYbxcXFyWq1ql69eurVq5dCQ0P18ssvq3///o6u060YhmF2CQAAD0PvBuAsjiRlavDUv7T7eJokqXqwj2aP6qwmNUJMrgxwLvRuAACcS7nOSE9LS1N0dLQkKSIiQsePH5cktWrVSmvWrHFcdQAAwCHo3QCcwYGEdA2avMweoseE++uDIa3UODrY5MoA50PvBgDAuZQrSG/atKm2bdsmSWrTpo0mT56sgwcPatKkSbrgggscWiAAAKg4ejcAs+07maabJv+l/afSJUl1IwM1544uqhsRYHJlgHOidwMA4FzKtbTL/fffr8OHD0uSnnnmGfXp00ezZs2Sr6+vpk+f7sj6AACAA9C7AZhp1/FUDZ7yl44mZ0mSGkYFafaozqoR6qekpGyTqwOcE70bAADnUq4gfejQofavY2NjtW/fPm3dulV169ZVVFSUw4oDAACOQe8GYJZtR1I0ZOpynUjND9EvrBGsj0d2UnSIP9cOAs6B3g0AgHMpV5BemGEYCggIUPv27R1RDwAAqGT0bgBVZdOhJA2dulwJ6TmSpIsuCNXM2zuqWrCfyZUBroXeDQCA+cq1RrokffDBB2rZsqX8/f3l7++vli1baurUqY6sDQAAOBC9G0BVWv9PogZPOROit6kdptmjOhGiA2VA7wYAwHmU64z0p59+Wm+88YbuvfdedenSRZK0bNkyPfjgg9q/f7+ef/55hxYJAAAqht4NoCqt3ndKwz9cqZSsXElSbL0ITRvRQaH+PiZXBrgOejcAAM6lXEH6xIkTNWXKFN1yyy32sauvvlqtW7fWvffeS0MHAMDJ0LsBVJXlu09qxPSVSs/OkyR1bhipD+I7KMivwqtKAh6F3g0AgHMp16vZnJwcxcXFFRuPjY1Vbm5uhYtyRxazCwAAeDR6N4Cq8OeOExo5Y6Uyc2ySpK5NovT+rXEK8PUyuTLA9dC7AQBwLuVaI/3WW2/VxIkTi42///77GjJkSIWLAgAAjkXvBlDZft92TLd9dCZE79G0uqYMI0QHyoveDQCAcyn1Geljx461f22xWDR16lT98ssv6ty5syRp+fLl2r9/v4YNG+b4KgEAQJnRuwFUlfmbj+ruWWuUnZcfove6qIbeGdxOft6E6EBZ0LsBAHBepQ7S165dW2Q7NjZWkrRr1y5JUlRUlKKiorRp0yYHlgcAAMqL3g2gKvy08bDu/WStcm2GJKl/qws04ea28vEq14dfAY9G7wYAwHmVOkhfuHBhZdYBAAAcjN4NoLJ9t/6QHpizTnmnQ/Rr2sbo9RvbyJsQHSgXejcAAM6rXBcbBQAAAODZvlp7QP/32XqdztB1Q2xtjb++tbysFnMLAwAAACpBqU8VufPOO3XgwIFS3XfOnDmaNWtWuYsCAAAVR+8GUFk+W/WPxhYK0W/pWEf/JUQHKozeDQCA8yr1GenVq1dXixYtdMkll2jAgAGKi4tTTEyM/P39lZCQoM2bN+vPP//Up59+qpiYGL3//vuVWTcAADgPejeAyjB7+X49/tVG+/awLvX07IAWshKiAxVG7wYAwHmVOkh/4YUXNGbMGE2dOlXvvfeeNm/eXOT2kJAQ9ezZU++//7769Onj8EIBAEDZ0LsBONqMZXv19DdnLnJ42yUN9NRVzWWxEKIDjkDvBgDAeZVpjfQaNWroiSee0BNPPKGEhATt379fGRkZioqKUqNGjXgBDQCAk6F3A3CUqYt368Uftti3R3drqMf6NOP/EcDB6N0AADincl9sNCIiQhEREY6sBQAAVCJ6N4DymvTHLr3y01b79r2XN9bYXhcS6AGVjN4NAIDzKHeQDgAAAMD9vfPbDr32y3b79oM9L9T9PZuYWBEAAABQ9QjSAQAAABRjGIbeXLBDE+bvsI893Lup7unR2MSqAAAAAHMQpAMAAAAowjAMvf7Ldr2zcKd9bFzfZhrdrZGJVQEAAADmIUgHAAAAYGcYhsbP26ZJf+yyjz3Zv7lGdm1oYlUAAACAuazlfWBubq7mz5+vyZMnKyUlRZJ06NAhpaamOqw4AADgOPRuAOdjGIb+8+OWIiH6c1e3IEQHTELvBgDAeZTrjPR9+/apT58+2r9/v7KystSrVy+FhIRo/PjxysrK0qRJkxxdJwAAqAB6N4DzMQxDz3+/WdOW7LWPvXhtSw3tXM+8ogAPRu8GAMC5lOuM9Pvvv19xcXFKSEhQQECAffy6667TggULHFYcAABwDHo3gHMxDEPPfLvJHqJbLNIrA1sRogMmoncDAOBcynVG+uLFi7V06VL5+voWGa9fv74OHjzokMIcqX79+goNDZXValVERIQWLlxodkkAAFQpejeAs7HZDD31zd+atXy/pPwQffz1rTUoro7JlQGejd4NAIBzKVeQbrPZlJeXV2z8wIEDCgkJqXBRlWHp0qUKDg42uwwAAExB7wZQEpvN0ONfbdSnK/+RJFkt0ms3ttHA9rVNrgwAvRsAAOdSrqVdrrzySk2YMMG+bbFYlJqaqmeeeUb9+vVzVG0AAMBB6N0A/i3PZujRLzYUCdH/d1NbQnTASdC7AQBwLuUK0l977TUtWbJEF110kTIzMzV48GD7x8vGjx9fpn0tWrRIAwYMUExMjCwWi77++uti93n33XdVv359+fv7q1OnTlqxYkWZvofFYlG3bt3UoUMHzZo1q0yPBQDAHdC7ARSWZzP08OfrNXf1AUmSl9WiN29up2va1jK5MgAF6N0AADiXci3tUqdOHa1fv15z5szR+vXrlZqaqttvv11DhgwpchGU0khLS1ObNm102223aeDAgcVunzNnjsaOHatJkyapU6dOmjBhgnr37q1t27YpOjpaktS2bVvl5uYWe+wvv/yimJgY/fnnn6pVq5YOHz6snj17qlWrVmrdunWJ9WRlZSkrK8u+nZycLCn/AkyGYZRpbmfjyH1VpYK6XbH2AszBOTAH87l6/ZJnzMGRc6N3l487/DsribvOS3LfuTlyXnk2Qw/NXa+v1x2SJHlbLXrz5rbq1+qCKj9u7vp8Se47N3edl+SYudG7ze/d7sSdf96qiqcdw8qYp6cdw8rAMXSMyjqOZdmfxSjjd8/JyVGzZs30/fffq3nz5mUu7pzFWCz66quvdO2119rHOnXqpA4dOuidd96RlL9OXJ06dXTvvffqscceK/P3ePjhh9WiRQsNHz68xNufffZZPffcc8XG9+3bp9DQ0DJ/vwJj5m7Wn7sSJEm/39dB4YG+53mE8zEMQ6mpqQoODpbFYjG7nHJhDs6BOZjP1euXPGMOycnJqlevnpKSkirUg+jd5ecO/85K4q7zktx3bo6aV67N0FPfb9dPm09Iyg/R/3tNU13etJqjSi0Td32+JPedm7vOS3LM3Ojd+czs3e7EnX/eqoonHMMr312pYynZig7x1S/3dHD4/j3hGFY2jqFjVNZxLEvvLvMZ6T4+PsrMzCx3cWWRnZ2t1atXa9y4cfYxq9Wqnj17atmyZaXaR1pammw2m0JCQpSamqrffvtNgwYNOuv9x40bp7Fjx9q3k5OTVadOHYWFhVWooft4nznUIaGhCgvyK/e+zFLwO5ewsDCX/cFnDs6BOZjP1euXPGMOjpoXvbv83OHfWUncdV6S+87NEfPKzbPpwc/W20N0Hy+L3hncXldeVMNhdZaVuz5fkvvOzV3nJTlmbvRu83u3O3Hnn7eq4gnH0Gqx2v8OCwtz+P494RhWNo6hY1TWcSzLvsq1tMs999yj8ePHa+rUqfL2LtcuSuXEiRPKy8tTjRpFX9zXqFFDW7duLdU+jh49quuuu06SlJeXp1GjRqlDh7P/hs7Pz09+fsVDbovFUqEnqfBjLarYvsxUcBxctX6JOTgL5mA+V69fcv85OHJe9O7yc4d/ZyVx13lJ7ju3iswrJ8+mB+as1w8bD0uSfL2smji0va5obl6IXsBdny/JfefmrvOSKj43erdz9G534s4/b1XFk45hZc3Rk45hZeEYOkZlHMdKD9JXrlypBQsW6JdfflGrVq0UFBRU5PYvv/yyPLutFA0bNtT69evNLgMAAFPRuwHPlZNn032frNVPfx+RlB+iT741Vj2aRZtcGYBzoXcDAOBcyhWkh4eH6/rrr3d0LcVERUXJy8tLR48eLTJ+9OhR1axZs9K/PwAA7oLeDXim7Nz8EH3eptMhurdV798aq+5NCdEBZ0fvBgDAuZQrSJ82bZqj6yiRr6+vYmNjtWDBAvuFUGw2mxYsWKAxY8ZUSQ0AALgDejfgebJzbRoze41+2Zwfjvl6WzVlWJy6XVjd5MoAlAa9GwAA51J5C62VUmpqqnbu3Gnf3rNnj9atW6fIyEjVrVtXY8eOVXx8vOLi4tSxY0dNmDBBaWlpGjFihIlVAwDguejdgPPLzrXpntlr9OvpEN3vdIh+GSE64JHo3QAAVFy5gvQGDRqccyH23bt3l3pfq1atUo8ePezbBVfujo+P1/Tp03XTTTfp+PHjevrpp3XkyBG1bdtW8+bNK3YhFAAAcHb0bsBzZOfadPesNZq/5UyI/kF8B13aJMrkygCUBb0bAADnUq4g/YEHHiiynZOTo7Vr12revHl6+OGHy7Sv7t27yzCMc95nzJgxbvWRsnPPFgAAx6N3A54hKzdPd3+8Rgu2HpMk+fvkh+iXNCZEB1wNvRsAAOdSriD9/vvvL3H83Xff1apVqypUkLs6+3kEAABUPno34P6ycvN018dr9FuhEP3D+A66mBAdcEn0bgAAnIvVkTvr27evvvjiC0fuEgAAVCJ6N+AeSgrRpw3vSIgOuCF6NwAA5nDoxUY///xzRUZGOnKXAACgEtG7AdeXmZOnuz5erYXbjkuSAny89OHwDurSqJrJlQGoDPRuAADMUa4gvV27dkUuemIYho4cOaLjx4/rvffec1hxAADAMejdgHsqKUSfNqKDOjckRAdcHb0bAADnUq4g/dprry2ybbVaVb16dXXv3l3NmjVzRF0AAMCB6N2A+8nMydOdH6/W74TogFuidwMA4FzKFaQ/88wzjq4DAABUIno34F5KCtGnj+igToTogNugdwMA4FzKdbHRNWvWaOPGjfbtb775Rtdee60ef/xxZWdnO6w4AADgGPRuwH38O0QP9CVEB9wRvRsAAOdSriB99OjR2r59uyRp9+7duummmxQYGKi5c+fqkUcecWiB7sgwDLNLAAB4GHo34B6ySgjRpw0nRAfcEb0bAADnUq4gffv27Wrbtq0kae7cuerWrZtmz56t6dOn64svvnBkfW6j0DViAACocvRuwPVl5dp058drCNEBD0HvBgDAuZQrSDcMQzabTZI0f/589evXT5JUp04dnThxwnHVAQAAh6B3A64tKydPY7/cqt+3E6IDnoLeDQCAcylXkB4XF6cXX3xRM2fO1B9//KH+/ftLkvbs2aMaNWo4tEB3xMIuAICqRu8GXFdWbp7umrVGS3YnSCJEBzwFvRsAAOdSriB9woQJWrNmjcaMGaMnnnhCjRs3liR9/vnnuvjiix1aoPtgbRcAgHno3YBrysrN050zV2vh6eVcAnwI0QFPQe8GAMC5eJfnQa1bty5y9fACr776qry8vCpcFAAAcCx6N+B6/h2i+/tYNW0EITrgKejdAAA4l3Kdkf7PP//owIED9u0VK1bogQce0IwZM+Tj4+Ow4gAAgGPQuwHXkpWbp7s/XlPkTPR3brxInRpEmlwZgKpC7wYAwLmUK0gfPHiwFi5cKEk6cuSIevXqpRUrVuiJJ57Q888/79AC3ZHBIukAgCpG7wZcR3auTffMWqMFW49Jyg/RPxwep7i6YSZXBqAq0bsBAHAu5QrS//77b3Xs2FGS9Nlnn6lly5ZaunSpZs2apenTpzuyPrdhYYl0AICJ6N2Aa8jOtenuWWs0f0t+iO7vY9WHwzuoM8u5AB6H3g0AgHMpV5Cek5MjPz8/SdL8+fN19dVXS5KaNWumw4cPO646AADgEPRuwPll59p0z+w1mr/lqKQzIXqXRoTogCeidwMA4FzKFaS3aNFCkyZN0uLFi/Xrr7+qT58+kqRDhw6pWjVe6JeEE9IBAGaidwPOLSfPpns/WaNfN+eH6H7eVn0Y30EXN4oyuTIAZqF3AwDgXMoVpI8fP16TJ09W9+7ddcstt6hNmzaSpG+//db+0TOcncEi6QCAKkbvBpxXTp5N932yVj9vKhSiD++gixsTogOejN4NAIBz8S7Pg7p3764TJ04oOTlZERER9vE77rhDgYGBDivOnRReI50YHQBQ1ejdgHPKybPp/k/X6qe/j0iSfL2tmhofp0sI0QGPR+8GAMC5lOuMdCn/rOrVq1dr8uTJSklJkST5+vrS0AEAcFL0bsC55ObZ9MCcdfpx45kQfcqwOHVtUt3kygA4C3o3AADOo1xnpO/bt099+vTR/v37lZWVpV69eikkJETjx49XVlaWJk2a5Og63QoruwAAqhq9G3AuuXk2PfjZev2wIf+Cgb5eVr1/a6y6XUiIDiAfvRsAAOdSrjPS77//fsXFxSkhIUEBAQH28euuu04LFixwWHHuxMLlRgEAJqJ3A84jz2bo/+au13frD0nKD9En3xqr7k2jTa4MgDOhdwMA4FzKdUb64sWLtXTpUvn6+hYZr1+/vg4ePOiQwtxN0TXSOSUdAFC16N2Ac8izGXp47np9sy4/RPfxsmji0Pbq0YwQHUBR9G4AAJxLuc5It9lsysvLKzZ+4MABhYSEVLgoAADgWPRuwHw2m6FHv9igL9fmB2A+XhZNHBKrK5rXMLkyAM6I3g0AgHMpV5B+5ZVXasKECfZti8Wi1NRUPfPMM+rXr5+janMrRc5I54R0AEAVo3cD5rLZDD325QZ9vvqAJMnbatG7g9ur50WE6ABKRu8GAMC5lGtpl9dee019+vTRRRddpMzMTA0ePFg7duxQVFSUPvnkE0fX6BYKr5FOjg4AqGr0bsA8NpuhJ77eqM9W5YfoXlaL3hncTle2qGlyZQCcGb0bAADnUq4gvU6dOlq/fr3mzJmj9evXKzU1VbfffruGDBlS5CIoKIQz0gEAJqJ3A+YwDENPf/u3Plnxj6T8EP2tm9upT8sLTK4MgLOjdwMA4FzKHKTn5OSoWbNm+v777zVkyBANGTKkMupyO5YiWyTpAICqQ+8GzGEYhp79dpM+/mu/JMlqkSbc1Fb9WxOiAzg3ejcAAM6nzGuk+/j4KDMzszJqcWuWQoukc0Y6AKAq0buBqmcYhp7/frM+WrZPUn6I/r+b2mpAmxiTKwPgCujdAAA4n3JdbPSee+7R+PHjlZub6+h63FbhM9LJ0QEAVY3eDVQdwzD0nx+3aNqSvZLyLzr/2o1tdE3bWuYWBsCl0LsBAHAu5VojfeXKlVqwYIF++eUXtWrVSkFBQUVu//LLLx1SnDuxFFkjnSgdAFC16N1A1TAMQ//9eZumLN4jKf814H+vb62B7WubXBkAV0PvBgDAuZQrSA8PD9f111/v6FrcWpEz0snRAQBVjN4NVI03ft2uib/vsm+/fF0r3RhXx8SKALgqejcAAM6lXEH6tGnTHF2H2yuyRrqJdQAAPBO9G6h8b87fobd/22nffvHalrq5Y10TKwLgyujdAAA4lzKtkW6z2TR+/Hhdcskl6tChgx577DFlZGRUVm1upegZ6UTpAICqQe8Gqsa7C3fqf/O327efv6aFhnauZ2JFAFwVvRsAAOdUpiD9pZde0uOPP67g4GDVqlVLb775pu65557Kqs29FF4j3bwqAAAeht4NVL7Jf+zSqz9vs28/ddVFGtalvnkFAXBp9G4AAJxTmYL0GTNm6L333tPPP/+sr7/+Wt99951mzZolm81WWfW5DWvhpV1I0gEAVYTeDVSuqYt36+Wfttq3H+/XTLdf2sDEigC4Ono3AADOqUxB+v79+9WvXz/7ds+ePWWxWHTo0CGHF+ZuWNoFAGAGejdQeT5aulcv/rDFvv1w76a647JGJlYEwB3QuwEAcE5lCtJzc3Pl7+9fZMzHx0c5OTkOLcodWbnYKADABPRuoHLMWr5Pz3y7yb79YM8LdU+PxiZWBMBd0LsBAHBO3mW5s2EYGj58uPz8/OxjmZmZuvPOOxUUFGQf+/LLLx1XoZuwFvqVRZ6NKB0AUDXo3YDjfbbyHz3x1d/27Xsvb6z7ezYxsSIA7oTeDQCAcypTkB4fH19sbOjQoQ4rxp1ZOCMdAGACejfgWF+sPqBHv9xg376zWyON7XWhiRUBcDf0bgAAnFOZgvRp06ZVVh1uz1pokXTWSAcAVBV6N+A436w7qIc/X2+/cPzISxvo0T5Ni5wwAQAVRe8GAMA5lWmNdJRf4TXSWdkFAADAtfy48bDGfrbe/jouvks9PdG/OSE6AAAA4CEI0qtI4SCdNdIBAABcxy+bjui+T9baX8MN7lRXz17dghAdAAAA8CAE6VWkcJDO0i4AAACuYeHWY7pn9hrlng7RB8XV1ovXtCREBwAAADwMQXoVKbxGOmekAwAAOL9F249r9MerlZOX/9ptYLtaenlga1mthOgAAACApyFIryKF33CRowMAADi3pbtOaNSMVcrOtUmSBrSJ0as3tpEXIToAAADgkQjSq0jRi42SpAMAADirFXtO6fbpq5R1OkTv27Km3hhEiA4AAAB4MoL0KuJV6EiztAsAAIBzWr0vQSOmrVBGTp4kqWfzaL15czv5ePGyGQAAAPBkvCOoIl7WM4eaIB0AAMD5bDiQqOEfrlBadn6I3u3C6np3SHv5evOSGQAAAPB0vCuoIl6FlnYhSAcAAHAumw4laejU5UrJypUkXdK4mibfGis/by+TKwMAAADgDAjSq4i3V6EgnTXSAQAAnMa2IykaOnW5kjPzQ/SODSI1ZVic/H0I0QEAAADkI0ivIoUvTsUZ6QAAAM5h57FUDZn6lxLScyRJsfUi9OHwDgr09Ta5MgAAAADOhCC9ingXCtJz8gjSAQAAzLb3RJoGT/lLJ1KzJUltaodp2ogOCvYjRAcAAABQFEF6FSl8Rnpuns3ESgAAAPDPqXQNnvKXjqVkSZJaxIRqxm2dFOrvY3JlAAAAAJwRQXoV8fY6c6hZ2gUAAMA8hxIzdMuUv3QoKVOS1KxmiD6+vZPCAgnRAQAAAJSMIL2K+BRe2oUgHQAAwBRHkzN1y5S/dCAhQ5LUODpYH4/spIggX5MrAwAAAODMCNKriE+hM9JZ2gUAAKDqHU/J0uApf2nfyXRJUoOoIM0e2UlRwX4mVwYAAADA2bl9kJ6YmKi4uDi1bdtWLVu21JQpU0ypw8f7zKHOIUgHAOCsnKV3w72cSsvW0KnLtet4miSpTmSAZo/qpOhQf5MrAwDXR+8GAHgCb7MLqGwhISFatGiRAgMDlZaWppYtW2rgwIGqVq1aldbh63VmaZfsPJZ2AQDgbJyld8N9JKbnh+jbjqZIkmqFB2j2yM66ICzA5MoAwD3QuwEAnsDtz0j38vJSYGCgJCkrK0uGYcgwqj7ILry0S3YuZ6QDAHA2ztK74R6SM3M07MMV2nw4WZJUI9RPs0d1Up3IQJMrAwD3Qe8GAHgC04P0RYsWacCAAYqJiZHFYtHXX39d7D7vvvuu6tevL39/f3Xq1EkrVqwo0/dITExUmzZtVLt2bT388MOKiopyUPWlR5AOAHAXntK74fpSs3I1/MMV2nAgSZIUFeyn2aM6q161IJMrA4CqRe8GAKDiTA/S09LS1KZNG7377rsl3j5nzhyNHTtWzzzzjNasWaM2bdqod+/eOnbsmP0+Beuw/fvPoUOHJEnh4eFav3699uzZo9mzZ+vo0aNVMrfC/AqtkZ7NGukAABfmKb0bri09O1e3TV+pNfsTJUmRQb6aPaqTGlUPNrcwADABvRsAgIozfY30vn37qm/fvme9/Y033tCoUaM0YsQISdKkSZP0ww8/6MMPP9Rjjz0mSVq3bl2pvleNGjXUpk0bLV68WDfccEOJ98nKylJWVpZ9Ozk5/2PAFf1omm+hID0rJ88lP+ZWcAxcsfYCzME5MAfzuXr9kmfMwVnn5im9u/A+nPW5KC93nZeUP7eM7FzdPXe1Vuw5JUkKC/DRzNs7qkl0sMvO2V2fM3edl+S+c3PXeUmOmZuzHhdP6t3uxJ1/3qqKpx3Dypinpx3DysAxdIzKOo5l2Z/pQfq5ZGdna/Xq1Ro3bpx9zGq1qmfPnlq2bFmp9nH06FEFBgYqJCRESUlJWrRoke66666z3v/ll1/Wc889V2w8KSmpQk9UTma6/euU9EwlJSWVe19mMQxDqampkiSLxXKeezsn5uAcmIP5XL1+yTPmUPCm0pW4U++W3OPfWUncdV5S/gkLD36+WX/tz7+waLCfl94b1Fy1Ag2XfP1VwF2fM3edl+S+c3PXeUmOmRu92/ze7U7c+eetqnjCMbQZNvvflfFaxxOOYWXjGDpGZR3HsvRupw7ST5w4oby8PNWoUaPIeI0aNbR169ZS7WPfvn2644477L+xuPfee9WqVauz3n/cuHEaO3asfTs5OVl16tRRWFiYQkNDyzcRSdWyvexf2yxeCgsLK/e+zFLwgiYsLMxlf/CZg3NgDuZz9folz5iDK87LnXq35B7/zkrirvPKzrXpodlr7CF6kK+XZtzWUe3qRphcWcW563PmrvOS3Hdu7jovyTFzc8Vj4m692524889bVfGEY2i1WO1/V0bW5AnHsLJxDB2jso5jWfbl1EG6I3Ts2LHUH0GTJD8/P/n5+RUbt1gsFXqSAv3OHOrMXJvL/uAUHAdXrV9iDs6COZjP1euX3H8OrjyvinCW3v3v/bjb8+Fu88rNs+mBOes0f0v+er4BPl6aNqKj2teLNLkyx3G356yAu85Lct+5ueu8pIrPzR2PSWk4W+92J+7881ZVPOkYVtYcPekYVhaOoWNUxnEsy75Mv9jouURFRcnLy6vYRUqOHj2qmjVrmlRV+QT4nDkjPTM7z8RKAACoPO7Uu+E68myGxn62Xj/9fURS/kXep8bHqmMD9wnRAaCy0LsBACgdpw7SfX19FRsbqwULFtjHbDabFixYoC5duphYWdn5FwrSM3II0gEA7smdejdcg81m6JHPN+jb9YckSb5eVv1vYDNd3CjK5MoAwDXQuwEAKB3Tl3ZJTU3Vzp077dt79uzRunXrFBkZqbp162rs2LGKj49XXFycOnbsqAkTJigtLc1+NXFX4edtldUi2QwpgzPSAQAuzFN6N5yfzWbo8a826os1ByRJPl4WvTekneJi/E2uDACcC70bAICKMz1IX7VqlXr06GHfLrjgSHx8vKZPn66bbrpJx48f19NPP60jR46obdu2mjdvXrELoTg7i8WiIF9vpWTlKjU71+xyAAAoN0/p3XBuhmHo6W//1qcr/5EkeVktevuW9rqieQ0lJSWZXB0AOBd6NwAAFWd6kN69e3f7VVfPZsyYMRozZkwVVVR5gvzyg/T0LM5IBwC4Lk/q3XBOhmHo+e836+O/9kuSrBbpzZvbqk/Lmuf9twkAnojeDQBAxTn1GunuJsgvf5301CzOSAcAACgPwzD08k9bNW3JXkmSxSK9MaitrmodY25hAAAAANwaQXoVCvbL/wBAWnaubDbOlgIAACgLwzD06s/b9P6i3fax8de31rXtaplYFQAAAABPQJBehUIDfCRJhiGlcFY6AABAmUyYv0Pv/b7Lvv3ywFYaFFfHxIoAAAAAeAqC9CoU6u9j/zolM8fESgAAAFzLuwt36s0FO+zbL1zTQrd0rGtiRQAAAAA8CUF6FQoNOHNt16QMgnQAAIDSmPj7Lr368zb79tNXXaRbu9Q3ryAAAAAAHocgvQpFBPrav05MJ0gHAAA4nymLdmv8vK327cf7NdNtlzYwsSIAAAAAnoggvQqFB55Z2uVUWraJlQAAADi/D//co5d+3GLffqRPU91xWSMTKwIAAADgqQjSq1DhM9IT0gnSAQAAzmbGsr16/vvN9u3/63Wh7u7e2MSKAAAAAHgygvQqVC3oTJB+MpUgHQAAoCQz/9qnp7/ZZN++74omuveKJiZWBAAAAMDTEaRXoeohfvavj6VkmVgJAACAc5q9fL+e+vpv+/aYHo31YE9CdAAAAADmIkivQoWD9OME6QAAAEV8umK/Hv9qo337ru6N9H9XXiiLxWJiVQAAAABAkF6lqgX5quBt4PGUTFNrAQAAcCZzVu7XY1+eCdFHd2uoR3o3JUQHAAAA4BQI0quQt5dVUcE+kqRDSQTpAAAAkvTZyn+KhOijujbQY32aEaIDAAAAcBoE6VWsZmj+8i7HU7KUlZtncjUAAADm+mzlP3r0yw0yjPztkZc20OP9mhOiAwAAAHAqBOlVrCBIl6SjSayTDgAAPNdnq4qG6Ldf2kBP9CdEBwAAAOB8CNKr2AWFgvT9p9JNrAQAAMA8n638R49+cSZEv+2SBnqSEB0AAACAkyJIr2J1IwLsX+89mWZiJQAAAOaYs3K/HvlXiP7UVYToAAAAAJyXt9kFeJq6Ef72r/eeIEgHAACe5dMV+4tcWHQky7kAAAAAcAEE6VWsbuSZM9L3EKQDAAAPMmv5Pj3x1d/27VFdubAoAAAAANfA0i5VLDrEV0G+XpKk7cdSTK4GAACgasxYtrdIiH7HZQ0J0QEAAAC4DIL0Kma1WHRhjRBJ0j+nMpSalWtyRQAAAJVr2pI9evqbTfbtO7s10ri+zQjRAQAAALgMgnQTNLsgxP71tiOclQ4AANzX1MW79dx3m+3bY3o01qN9mhKiAwAAAHApBOkmaFbzTJC++VCSiZUAAABUnvd+36kXf9hi377/iib6vysvJEQHAAAA4HII0k3Qqla4/eu1+xNNqwMAAKCyvDl/h/47b5t9e2yvC/VgL0J0AAAAAK7J2+wCPFGLmFD5eluVnWvTmv0JZpcDAADgMIZh6PVftuudhTvtY4/2aaa7ujcysSoAAAAAqBjOSDeBr7dVrWqFSZL2nkzXydQskysCAACoOMMw9PJPW4uE6E/2b06IDgAAAMDlEaSbJLZehP3r5XtOmVgJAABAxdlshp7+ZpPeX7TbPvb8NS00smtDE6sCAAAAAMcgSDfJJY2j7F8v3nHcxEoAAAAqJs9m6LEvN2jmX/skSRaL9PLAVhrWpb65hQEAAACAg7BGukk61o+0r5O+aPsJGYbBxbcAAIDLyc2z6f/mrtc36w5JkqwW6fVBbXRdu9omVwYAAAAAjsMZ6SYJ8PVSx/qRkqSDiRnadTzV5IoAAADKJis3T/fMXmMP0b2tFr0zuD0hOgAAAAC3Q5Buou5Nq9u//mHDERMrAQAAKJuM7DyNmrFaP286Kkny9bJq0tBY9Wt1gcmVAQAAAIDjEaSbqH/rM280v9twSIZhmFgNAABA6aRk5ih+2got2p5/nZcAHy99MDxOPS+qYXJlAAAAAFA5CNJNdEFYgDrUj5Ak7TyWqm1HU0yuCAAA4NwS07M19IMVWrHnlCQp2M9bM27vqK5Nqp/nkQAAAADgugjSTXZV6xj715+tPGBiJQAAAOd2LCVTN03+S+v/SZQkhQf6aPaoTupw+rovAAAAAOCuCNJNdnWbGPl55z8Nc1f/o7SsXJMrAgAAKO5AQroGTVpm/wRdVLCfPr2js1rXDje3MAAAAACoAgTpJosI8tXVbfLPSk/JzNXX6w6aXBEAAEBRu4+natCkZdp7Ml2SVCs8QHPv7KJmNUNNrgwAAAAAqgZBuhOIv7i+/evpS/bKZuOiowAAwDlsOpSkQZOX6VBSpiSpYVSQ5t7ZRQ2igkyuDAAAAACqDkG6E2hZK0xx9fIvOrrjWKq+23DI5IoAAACkVXtP6eb3/9KJ1GxJUvMLQvXZnV0UEx5gcmUAAAAAULUI0p3EAz0vtH/9+i/blZ1rM7EaAADg6X7fdkxDP1iulMz867fE1ovQp6M6KyrYz+TKAAAAAKDqEaQ7iUubROmSxtUkSftPpWvOqn9MrggAAHiqHzYc1qgZq5SZk/+L/a5NojTz9o4KC/QxuTIAAAAAMAdBuhN5uHcz+9f/+3W7TqZmmVgNAADwRJ+s2K97P1mjnLz8a7b0a1VTU+PjFOjrbXJlAAAAAGAegnQn0rZOuPq3vkCSdCotW898u8nkigAAgCeZ+Psujftyowquez4orrbevqW9/Ly9zC0MAAAAAExGkO5knh3QQuGnPzb9/YbD+mnjYZMrAgAA7s4wDL380xaNn7fVPnbHZQ01/vrW8rJaTKwMAAAAAJwDQbqTqR7ip+eubmHffuqbv3UsJdPEigAAgDvLsxka9+VGTf5jt33skT5NNa5vM1kshOgAAAAAIBGkO6Wr28ToyotqSJJOpGZr9MzVyszJM7kqAADgbrJy83TPrDX6dGX+Rc4tFuml61rq7u6NCdEBAAAAoBCCdCdksVj00nWtdEGYvyRp7f5EPfrFBhmGYXJlAADAXaRl5er26as0b9MRSZKPl0Vv3dxOQzrVM7kyAAAAAHA+BOlOqnqIn6YMi1OAT/7Fvb5Zd0jv/LbT5KoAAIA7OJWWrVGfbNKSXSclSQE+Xpoa30ED2sSYXBkAAAAAOCeCdCfWslaYJtzc1r79+q/bNXPZXtPqAQAAru9gYoYGTV6mzUdSJUlhAT6aNaqTul1Y3eTKAAAAAMB5EaQ7ud4tauqRPk3t2099s0kTf99lYkUAAMBV7TyWohsmLtWu42mSpBqhfpp7Zxe1rxthcmUAAAAA4NwI0l3AXd0a6a7ujezb4+dt1as/b2XNdAAAUGrr/knUjZOW6XBSpiSpboS/Pr+ziy6sEWJyZQAAAADg/AjSXYDFYtGjfZrp4d5nzkx/d+EuPfPtJuXm2UysDAAAuII/d5zQ4Cl/KSE9R5LUIiZU04e2Uu2IQJMrAwAAAADXQJDuQu7p0VjPX9PCvj1j2T7dMuUvHU7KMLEqAADgzH7YcFgjpq9QenaeJKlTg0h9MqqTIoN8Ta4MAAAAAFwHQbqLGdalvl67sY28rRZJ0sq9Cer35mIt3HbM5MoAAICz+fivfRrzyRrl5OUvB9frohr66LaOCvH3MbkyAAAAAHAtBOku6IbY2pozuotiwvwlSQnpORoxbaXGz9vKUi8AAECGYejtBTv05Nd/q+CSKoPiamvikPby9/EytzgAAAAAcEEE6S4qtl6Efry/q3o2j7aPTfx9l66ftEwbDiSaVxgAADCVzWbo+e836/Vft9vHRndrqPHXt5a3Fy/9AAAAAKA8eDflwsIDfTVlWJye7N/cvtTL+n8Sdc27SzTuyw06lZZtcoUAAKAq5eTZ9H9z12vakr32sXF9m2lc3+ayWCzmFQYAAAAALo4g3cVZLBaN7NpQn93ZRY2jgyVJhiF9suIf9Xjtd81YtpflXgAA8AAZ2Xm6Y8YqfbX2oCTJapH+e0Nrje7WyOTKAAAAAMD1EaS7ifZ1I/TT/V31ZP/mCvbzliQlZeTo6W82acA7S/TX7pMmVwgAACpLUnqObv1guRZuOy5J8vW2atLQWA2Kq2NyZQAAAADgHgjS3YiPl1UjuzbUb//XTQPb17KPbzmcrJvf/0s3Tlqq37YelVFw1TEAAODyjiZnatDkZVq1L0GSFOznrRm3ddSVLWqaXBkAAAAAuA+PCNKvu+46RURE6IYbbjC7lCoRHeqvNwa11Rd3dVGLmFD7+Mq9Cbpt+ir1mbBYX689yJIvAACn5Wm9u7z2nkjTDZOWatvRFElSVLCvPr2jszo3rGZyZQAAT0PvBgC4O48I0u+//37NmDHD7DKqXGy9SH075lK9fmMbNTm9frokbTuaogfmrFO3V3/XR0v3KiM7z8QqAQAozlN7d1lsOpSkGyYt0z+nMiRJtSMCNPfOi9WyVpjJlQEAPBG9GwDg7jwiSO/evbtCQkLMLsMUXlaLro+trZ8fuExThsWpXd1w+20HEzP0zLebdMn43/Taz9u050SaeYUCAFCIJ/fu0lix55RunvyXTqRmSZKa1gjRF3ddrAZRQSZXBgDwVPRuAIC7Mz1IX7RokQYMGKCYmBhZLBZ9/fXXxe7z7rvvqn79+vL391enTp20YsWKqi/UxVmtFvW6qIa+vOtizbmjs7o3rW6/7VRatt5ZuFM9XvtdA99bolnL9ykpI8fEagEAzozeba4FW47q1g+WKyUrV5LUvm645ozurBqh/iZXBgBwVvRuAAAqztvsAtLS0tSmTRvddtttGjhwYLHb58yZo7Fjx2rSpEnq1KmTJkyYoN69e2vbtm2Kjo6WJLVt21a5ubnFHvvLL78oJiamTPVkZWUpKyvLvp2cnCxJMgyjwhfpLNiH2Rf77NggUh0bRGrzoWRNXrRL3284LNvpktbsT9Sa/Yl67rvN6tW8hm6IraVLG0fJ28vqNPVXBHNwDszBfK5ev+QZc3DWudG7zfPlmoN65IsNyjvduC9rEqWJQ9sr0Ne7TDU627wcyV3nxrxcj7vOzV3nJTlmbs56XDypd7sTd/55qyqedgwrY56edgwrA8fQMSrrOJZlf6YH6X379lXfvn3Pevsbb7yhUaNGacSIEZKkSZMm6YcfftCHH36oxx57TJK0bt06h9Xz8ssv67nnnis2npSU5JA346mpqZIki8VSoX05Qq0g6fm+DXVv19r6cdNxfff3Me08ni5Jys616YeNh/XDxsOKCvJRvxbVNaBlddUMyD8GzlB/eTjbc1AezME5uPocXL1+yTPmUPCm0tnQu80xa+Uhvbpgj327T/MovXBVE+VkpCkpo2z7cqZ5OZq7zo15uR53nZu7zktyzNzo3aVTmb3bnbjzz1tV8YRjaDNs9r+TkpIcvn9POIaVjWPoGJV1HMvSu00P0s8lOztbq1ev1rhx4+xjVqtVPXv21LJlyyrle44bN05jx461bycnJ6tOnToKCwtTaGhohfZd8IIgLCzMqX5wwsKk+2pV1729mmvToWR9seagvl1/SKfSsiVJJ9JyNGPFIc1YcUj1Iv3V86KaurxZtOLqRcrX2/TVgcrEWZ+DsmAOzsHV5+Dq9UueMQdXnBe92/EMw9D/5u/Q27+dCdGHdq6r5wa0kNVavpqcYV6VxV3nxrxcj7vOzV3nJTlmbq54TNytd7sTd/55qyqecAytFqv977Awx1903hOOYWXjGDpGZR3HsuzLqYP0EydOKC8vTzVq1CgyXqNGDW3durXU++nZs6fWr1+vtLQ01a5dW3PnzlWXLl1KvK+fn5/8/PyKjVssFoc8SQX7ccYfHIvFola1w9Wqdrge79dcv287pi/WHNBvW48pJy//H+u+U5n64M+9+uDPvQrx81bXC6PUo2m0ejSLVlRw8ePmjJz5OSgt5uAcXH0Orl6/5P5zcMV50bsdy2Yz9Ox3mzVj2T772H1XNNGDPZtUuB53+Pk5G3edG/NyPe46N3edl1TxubniMXHH3u1O3Pnnrap40jGsrDl60jGsLBxDx6iM4+g2QbqjzJ8/3+wSXI6vt1VXtqipK1vU1Km0bH23/pC+33BIa/Yl6HSmrpSsXP248Yh+3HhEFovUuna4rmgWrcubRatFTCj/OQAAyo3enb/M2kNz1+vb9YfsY09fdZFuu7SBiVUBAFAyejcAwN05dZAeFRUlLy8vHT16tMj40aNHVbNmTZOq8jyRQb6Kv7i+hnWpp3+OntS6I1n6besx/b79uBLTcyRJhiGt/ydR6/9J1Bu/bld0iJ8ubxatrk2qq0P9CEWH+ps8CwBAVaB3O0ZGdp7umrVav287Lknyslr06g2tNbB9bZMrAwC4G3o3AACl49QLXPv6+io2NlYLFiywj9lsNi1YsOCsHxFD5Qr199aANjGacHM7rX6ylz6/s4vu7t5IzWqGFLnfsZQsfbryH90ze406/meBLvvvQo39bJ0+WbFfO4+lcAEZAHBT9O6KS8rI0a0fLLeH6L7eVk0eGkuIDgCoFPRuAABKx/Qz0lNTU7Vz50779p49e7Ru3TpFRkaqbt26Gjt2rOLj4xUXF6eOHTtqwoQJSktLs19NHObxsloUVz9ScfUj9UifZjqYmKGFW4/pt63HtGTnCWXl2uz33X8qXftPpevLNQclSRGBPoqtF6kO9SMUVz9SLWuFys/by6ypAADKgN5deY6nZGnYhyu05XD+leOD/bw1NT5OnRtWM7kyAIAro3cDAFBxpgfpq1atUo8ePezbBVfujo+P1/Tp03XTTTfp+PHjevrpp3XkyBG1bdtW8+bNK3YhFJivVniAhnaup6Gd6ykjO09/7TmplXtOadXeBK07kKjsQsF6QnqO5m85qvlb8j8+6OdtVZs64fZgvX3dCIUF+Jg1FQDAOdC7K8c/p9J16wfLtfdkuiSpWpCvPrqto1rWCjO5MgCAq6N3AwBQcaYH6d27dz/vMh9jxozRmDFjqqgiOEKAr5d6NI1Wj6bRkqSs3Dz9fTBJK/cmaNXeU1q1L8G+vnr+7Tat2HNKK/ackrRLFovUtEaIWsSE6aKYUDW/IEQXXRCq8EBfk2YEAChA73a8HUdTNPSD5TqanCVJignz18yRndSoerDJlQEA3AG9GwCAijM9SIdn8PP2Umy9SMXWi5S6NZLNZmj3iVSt3JuglXvzz1rffyrdfn/DkLYeSdHWIyn6Ys2Z/cSE+Z8O1kN10QWhuigmVHUiAmW1WkyYFQAAFbf+n0QNn7ZCCad/wdyoepBm3t5JMeEBJlcGAAAAAChAkA5TWK0WNY4OUePoEN3Ssa4k6WhyplYVBOv7TmnL4RTl2YqeNXEoKVOHkjI1f8sx+1iQr5eaX3A6XD8dsjetEaIAX9ZcBwA4t6W7TmjUR6uUlp0nSWpZK1QfjeioasF+JlcGAAAAACiMIB1Oo0aov/q3vkD9W18gScrMydP2oynacjhZmw8la8vh/K9TsnKLPC4tO0+r9iVo1b4E+5jVIjWsHmw/c735BSFqVjNU0SEsDQMAcA6/bDqiMZ+stV9DpFODSE2Nj1OIP9cIAQAAAABnQ5AOp+Xv46XWtcPVuna4fcwwDB1IyNCmQ8n5AfvpkP1gYkaRx9oMaeexVO08lqrv1h+yjwf6eqlOuL8a1whVg6ig/D/Vg9QwKoj11wEAVebLNQf08Ocb7J+8uqJZtN4d0l7+PnyaCgAAAACcEUE6XIrFYlGdyEDViQxUn5Y17eNJ6TnaciT5zNnrR5K1/UiqsvNsRR6fnp2nbcfStO1YWrF9RwT6qP7pcL1hVJAaRAWrQVSQ6kcFKtCXHxUAgGNMX7JHz3632b59bdsYvXpjG/l4WU2sCgAAAABwLqSDcAthgT7q3LCaOjesZh/LybNp9/E0bT6cpM2HkrXreJp2H0/VgYQM5dqKX7E+IT1HCfsTtXZ/YrHbaob6Fzl7PT9gD1KdiED5ehN8AADOzzAMvf3bTr3x63b72K2d6+m5q1tw0WwAAAAAcHIE6XBbPl5WNa0ZoqY1Q3Rdu/wxwzB04lSCUmy+2nsyTbuPp2nPifw/e0+k6VBSZon7OpKcqSPJmVq2+2SRcS+rRXUiAooE6zHhAaoVHqCYcH9FBvnKYiEcAQBPZxiGXvphi6b+ucc+NqZHY/3flRfSJwAAAADABRCkw+P4eFnVIDJIDasH6/JmRW/LyM7T3pNnwvXCf06lZRfbV57N0N6T6dp7Ml3adrzY7X7e1tOhen6wHnP664KxC8L8WQ8XANxcns3QuC836LNVB+xjT/RrrlGXNTSxKgAAAABAWRCkA4UE+Hqp+QWhan5BaLHbEtOzi5y9vrtQyJ6enVfi/rJybdp9+r5nExXsmx+wh50J3M+E7wGKCuasdgBwVVm5eXrg03X66e8jkiSrRXp5YCvd1KGuyZUBAAAAAMqCIB0opfBAX7Wr66t2dSOKjBuGoWMpWdpzIk2HEjN0KDFDBxMzC32dcdagXZJOpGbrRGq2NhxIKvF2X2+rYsLOnM0eE+avSD+pUUyOPXDnrHYAcD7p2bkaPXO1Fu84IUny8bLozZvbqV+rC0yuDAAAAABQVgTpQAVZLBbVCPVXjVD/Em83DEPJGbk6kJiuQ/8K2PO/ztTRlEwZxa9/KknKzrWdWT7mLCKDfFUj1F9Rwb6qHuKX/yfYz/51dIifooL9FBbgw9ntAFAFkjJydPv0lVq1L0GS5O9j1eRb49TtwuomVwYAAAAAKA+CdKCSWSwWhQX6KCwwTC1iwkq8T06eTUeSTofsSfnh+pmgPUMHEzKUdo6z2k+lZZe4hvu/+XpZi4btpwP2fwfv1UP8FOjLfw8AUB4nUrM07IMV2nw4WZIU4uetD0d0UIf6kSZXBgAAAAAoL5IywAn4eFlVJzJQdSIDS7zdMAwlZ+aeDtXTtetIghKyVOQM9+OpWcrJO8tp7adl59l0KClTh5Iyz1tTkK+Xov4dsAcXD+Cjgv3k620t17wBwN0cSszQ0KnL7dfGqBbkq49u66iWtUr+RSoAAAAAwDUQpAMuwGKxKCzAR2EBPmpWM0RxMf4KCwsrskyLYRhKysjR8ZSs/D+pWWe+LrR9IjVLJ9Oyz7qUTIG07DylnUzXvnMsKVMgPNCnxJC9YCwyyFcRQb6KCPRRAOu5A3BTe06kaejU5TqYmCFJuiDMXx+P7KRG1YNNrgwAAAAAUFEE6YCbsFgsCg/0VXigr5rUCDnnfXPzbDqVlq1jp4P1koL3gvHkzNzzfu/E9Bwlpudox7HU897X19uq8AAfhfp7qVqwvyICfRUR5KPwwPygPf/vwl/n/wLB24uz3gE4ry2Hk3XrByt0IjVLklS/WqA+HtlJtSNK/qQRAAAAAMC1EKQDHsjby6roUH9Fn+UCqYVl5uSdCdtTsnQiNft08J5Z7Gz3zBzbefeXnWvTsZQsHUuRdh4//9nuBUL9vRUR5GsP1yMCfRV++u/CAXx4oE+Rs9+5uCqAyrZmf4KGf7jC/ovHZjVDNOP2jooOOf//sQAAAAAA10CQDuCc/H28VDsi8LxnVRqGobTsvKLLyaRk6nhqlk6l5SgxPVsJ6dlKTM9RQnq2EtKylX2eNd0LS87MVXJmbqmWmilQcPZ7kdCds98BONDSnSc0csYqpZ++IHS7uuGaNryDwgN9Ta4MAAAAAOBIBOkAHMJisSjYz1vBft5qEBV0zvsahqHExET5BgYrMSNXCWnZSso4HbCn5ygx7fTfp8P3M1/nKDkz57zruxc4c/Z7VpnmUtLZ72EBPgrx9z79J/9ra16WakYaCg3wUejpcX8fK2fBAx7i181Hdc/sNcrOzf80zsWNqmnKsDgF+fHyCgAAAADcDe/0AJjCYrEo0NdbQX4+qhUeUOrH5dkMe+iemJ6thLQc+5nuiRmFQvdC4wnp2crKPf+yMwXKc/Z7AW+rpUjYXvjr0BLGztyW/3UoYTzgEr5Zd1BjP1uvPFv+b/Z6Nq+hdwa3kz8XVAYAAAAAt0SQDsCleFktigzyVWRQ2ZZNyMjOO312e6HlZc5x9ntiRo6SMkp/9nuBXJuhhPQcJaTnlO2BhVQ0jA/x92Z9eKASzV6+X098vdH+/8M1bWP02o1t5MOyUAAAAADgtgjSAXiEAF8vBfgGKKaMZ78nnz77PSkjRymZuaf/5C8xcyIxVdnyVkpmrpIzc5SSWfQ+KZm5yrWVMYmX48L44ILA3e900B5wJowP9vOWj3JVPTzp9DhhPFAaUxbt1ks/brFvD+5UVy9e01JWKz8rAAAAAODOCNIB4Cy8rBZFBPkqooSz3w3DUFJSksLCws4aNhuGocwc2+ngPbfEoP3MbWfGkgvdVpEwPjE9R4npOZIyyvx4KT+MD/LzVpCvlwIL/vb1VpDfv/4+7+3eCvTzUpCv9/+3d+dhUZX9/8DfwzIgOyibieJKkiwq6SNqWC5YyKNWZmpuaZqpD2po5oZLCi6pLZZ+3cBcyHrUzC2XBDfcRUUJFUXKUMtQERUE7t8fPpwfAzMDM8wGvF/XNZdy1s/nPufMfc4959yH3dZQlSWEwJL9V/HlgavSsBGvNMKnr7/IfZqIiIiIiKgGYEM6EZGeyGSy/90Jbw43B+2WoW1jfE7e/5/u4ZNnWjfGP/hfFze6IpPhecO63By2Vs//tSndAF/BhnkbS3MUPC2ArV0RLC3YLzXpjxACn+1MxZqjGdKwj7s2w5jXmrARnYiIiIiIqIZgQzoRkQnTV2P8wyfPcCf7IQrN5HikpjE+N68QuXkFeJxfiNz8Ao37jC8bC/AorwCP8gqAnLzKLawEKwszqWG+5B3wJRvsS4+XGvBVTG9lwbvn6XkXT7P3pGPr+TvSsOk9fDGsQ0MjRkVERERERESGxoZ0IqJqTllj/POuaeRqu6YprbhBPje/AI/znjesP84vQG5eoeK/+YV4nPe/f6XhiuOKG+Yf5xUiv7Co0jnmFRQhryAf/+RWelESczOZ+ob5ksOVjG/iZod6zja6C4gM7llhESZ8n4yfLzxvRJfJgJg3/dD35fpGjoyIiIiIiIgMjQ3pRERUISUb5GGnu+XmFxThSb5iw7xiY73iXfHS8LwCPHich/wimTT+cX7xv4WVjquwSEjd42hj6hvN8cErjSodBxnH02eFGLPxLPan3gXw/J0BS/oGIjygrpEjIyIiIiIiImNgQzoRERmV3MIMcgszONpYajSfuhe+FhUJPHmmpkFeacN8OQ33+YUo1KCveRsr9ttelT0rLMLd/3U/JDeX4ZsBrdDF18PIUREREREREZGxsCGdiIiqHTMzGWytLGBrZQHY62aZQgjkFRSVaWh/oqLhPaCek25WTEZhb22JuKFt8H7sKXzU4QV0bu5u7JCIiIiIiMpwtbdS+JeI9IcN6URERBUgk8lgbWkOa0tzuNjKjR0OGYCzrRz/HdUODx8+NHYoRERERERK/Ty2g7FDIKoxzIwdABEREZGpqujLeImIiIiIiKh6Y0M6EREREREREREREZEabEgnIiIiIiIiIiIiIlKDDelERERERERERERERGqwIZ2IiIiIiIiIiIiISA02pBMRERERERERERERqcGGdCIiIiIiIiIiIiIiNdiQTkRERERERERERESkBhvSiYiIiIiIiIiIiIjUYEM6EREREREREREREZEabEgnIiIiIiIiIiIiIlKDDelERERERERERERERGqwIZ2IiIiIiIiIiIiISA02pBMRERERERERERERqWFh7ABMnRACAPDw4UOdLOvhw4eQyWSQyWSVXp6hVfX4AeZgKpiD8VX1+IGakUNx3VNcF1HFsO4uX3XNC6i+uTGvqqe65lZd8wJ0kxvrbu3osu6uTqrz8WYoLMPKYxlWHstQN/RVjprU3WxIL0dOTg4AwMvLy8iREBFRTZWTkwNHR0djh1FlsO4mIiJjY92tGdbdRERkbBWpu2WCP5WrVVRUhD///BP29vaV/rXj4cOH8PLywu+//w4HBwcdRWg4VT1+gDmYCuZgfFU9fqBm5CCEQE5ODurWrQszM/bGVlGsu8tXXfMCqm9uzKvqqa65Vde8AN3kxrpbO7qsu6uT6ny8GQrLsPJYhpXHMtQNfZWjJnU370gvh5mZGerVq6fTZTo4OFTpA6eqxw8wB1PBHIyvqscPVP8ceDeb5lh3V1x1zQuovrkxr6qnuuZWXfMCKp8b627N6aPurk6q8/FmKCzDymMZVh7LUDf0UY4Vrbv5EzkRERERERERERERkRpsSCciIiIiIiIiIiIiUoMN6QZkZWWFqKgoWFlZGTsUrVT1+AHmYCqYg/FV9fgB5kCGUV23UXXNC6i+uTGvqqe65lZd8wKqd25UNXGfrDyWYeWxDCuPZagbplCOfNkoEREREREREREREZEavCOdiIiIiIiIiIiIiEgNNqQTEREREREREREREanBhnQiIiIiIiIiIiIiIjXYkE5EREREREREREREpAYb0omIiIiIiIiIiIiI1GBDuo4tW7YM3t7esLa2Rtu2bXHy5Em10//www948cUXYW1tDT8/P+zatctAkSqnSfyxsbGQyWQKH2trawNGW9ahQ4cQHh6OunXrQiaTYdu2beXOk5CQgFatWsHKygpNmjRBbGys3uNUR9McEhISymwHmUyG27dvGybgUqKjo/Hyyy/D3t4ebm5u6NWrF9LS0sqdz5SOBW1yMLXj4dtvv4W/vz8cHBzg4OCAdu3aYffu3WrnMaVtoGn8plb+ysTExEAmk2HcuHFqpzOl7VBTVPW6WxVN8lq5ciU6duwIZ2dnODs7o0uXLuWWg7Four2KxcfHQyaToVevXvoNsBI0ze3+/fsYPXo0PD09YWVlhWbNmpnk/qhpXkuXLoWPjw9q1aoFLy8vjB8/Hk+fPjVQtBVTHc45VdE0ty1btqBr165wdXWV6uxffvnFMMFqQJttVuzo0aOwsLBAYGCg3uKj6k2b64uK1M1Dhgwpcw7cvXt3faZiVNqU45YtWxAUFAQnJyfY2toiMDAQ3333ncI0QgjMmDEDnp6eqFWrFrp06YKrV6/qMxWj0VcZ1qR9Uds2j2Kqzkm5H1a+DA2xH7IhXYe+//57TJgwAVFRUTh79iwCAgIQGhqKu3fvKp3+2LFj6NevH4YNG4Zz586hV69e6NWrF1JSUgwc+XOaxg8ADg4OyMrKkj43b940YMRl5ebmIiAgAMuWLavQ9Ddu3EBYWBheffVVJCcnY9y4cRg+fLhRT/41zaFYWlqawrZwc3PTU4TqJSYmYvTo0Th+/Dj27duHZ8+eoVu3bsjNzVU5j6kdC9rkAJjW8VCvXj3ExMTgzJkzOH36NF577TX07NkTly5dUjq9qW0DTeMHTKv8Szt16hRWrFgBf39/tdOZ2naoCap63a2KpnklJCSgX79+OHjwIJKSkuDl5YVu3brh1q1bBo5cPW3OVQAgIyMDkZGR6Nixo4Ei1ZymueXn56Nr167IyMjAjz/+iLS0NKxcuRIvvPCCgSNXT9O8Nm7ciMmTJyMqKgqpqalYvXo1vv/+e0yZMsXAkatXHc45VdE0t0OHDqFr167YtWsXzpw5g1dffRXh4eE4d+6cniPVjLbn2Pfv38egQYPQuXNnPUVGNYE21xcVrZu7d++ucA68adMmfadjNNqUo4uLC6ZOnYqkpCRcuHABQ4cOxdChQxW+fxcsWIAvv/wSy5cvx4kTJ2Bra4vQ0FCT+xFXF/RVhkDN2Re1bS8A1J+Tcj+sfBkCBtgPBelMmzZtxOjRo6W/CwsLRd26dUV0dLTS6d955x0RFhamMKxt27Zi5MiReo1TFU3jX7t2rXB0dDRQdJoDILZu3ap2mkmTJomXXnpJYVjfvn1FaGioHiOruIrkcPDgQQFAZGdnGyQmTd29e1cAEImJiSqnMbVjobSK5GDqx4MQQjg7O4tVq1YpHWfq20AI9fGbcvnn5OSIpk2bin379omQkBARERGhctqqsB2qm6ped6uiaV6lFRQUCHt7exEXF6evELWiTV4FBQUiODhYrFq1SgwePFj07NnTAJFqTtPcvv32W9GoUSORn59vqBC1omleo0ePFq+99prCsAkTJoj27dvrNc7KqA7nnKpUJDdlfH19xaxZs3QfkI5oklffvn3FtGnTRFRUlAgICNBrXFRzVOT6ojRldbMp12uGoE05CiFEy5YtxbRp04QQQhQVFQkPDw+xcOFCafz9+/eFlZWV2LRpk07jNUW6KEMhava+WNEyVHdOyv2w8mUohGH2Q96RriP5+fk4c+YMunTpIg0zMzNDly5dkJSUpHSepKQkhekBIDQ0VOX0+qRN/ADw6NEjNGjQAF5eXuXeLWqKTGkbVFZgYCA8PT3RtWtXHD161NjhSB48eADg+a/Yqpj6dqhIDoDpHg+FhYWIj49Hbm4u2rVrp3QaU94GFYkfMN3yHz16NMLCwsqUrzKmvB2qo6ped6uibZ1e0uPHj/Hs2bNyv/cMSdu8Zs+eDTc3NwwbNswQYWpFm9y2b9+Odu3aYfTo0XB3d0eLFi0wb948FBYWGirscmmTV3BwMM6cOSN1X3D9+nXs2rULb7zxhkFi1peq8N2hK0VFRcjJyTGp7w9trV27FtevX0dUVJSxQ6FqpqLXFyWpqpsTEhLg5uYGHx8fjBo1Cvfu3dNprKZM03IUQuDAgQNIS0vDK6+8AuD5E0O3b99W+I52dHRE27Ztq+V3dGm6KMNiNXVfrGgZqjsn5X5Y+TIspu/90EKnS6vB/v77bxQWFsLd3V1huLu7O3777Tel89y+fVvp9Mbo21qb+H18fLBmzRr4+/vjwYMHWLRoEYKDg3Hp0iXUq1fPEGFXmqpt8PDhQzx58gS1atUyUmQV5+npieXLlyMoKAh5eXlYtWoVOnXqhBMnTqBVq1ZGja2oqAjjxo1D+/bt0aJFC5XTmdKxUFpFczDF4+HixYto164dnj59Cjs7O2zduhW+vr5KpzXFbaBJ/KZY/sDzvtvOnj2LU6dOVWh6U9wO1VlVr7tV0Sav0j755BPUrVu3Qj8AGYo2eR05cgSrV69GcnKyASLUnja5Xb9+Hb/++isGDBiAXbt24dq1a/joo4/w7Nkzk2n00yav/v374++//0aHDh0ghEBBQQE+/PBDk+vaRVPV4ZyzohYtWoRHjx7hnXfeMXYolXL16lVMnjwZhw8fhoUFL5tJdyp6fVGasrq5e/fuePPNN9GwYUOkp6djypQpeP3115GUlARzc3N9hG8yNCnHBw8e4IUXXkBeXh7Mzc3xzTffoGvXrgAgncOZ+vmdPuiqDIGauy9WtAzLOyflflj5MgQMsx/yjIC01q5dO4W7Q4ODg9G8eXOsWLECc+bMMWJkNYuPjw98fHykv4ODg5Geno4lS5aUeQGIoY0ePRopKSk4cuSIUeOojIrmYIrHg4+PD5KTk/HgwQP8+OOPGDx4MBITE1U2RpsaTeI3xfL//fffERERgX379pnci0+J1ImJiUF8fDwSEhKq9L6bk5ODgQMHYuXKlahTp46xw9G5oqIiuLm54f/+7/9gbm6O1q1b49atW1i4cKHJNKRrIyEhAfPmzcM333yDtm3b4tq1a4iIiMCcOXMwffp0Y4dH5di4cSNmzZqFn376yWjv69GFwsJC9O/fH7NmzUKzZs2MHQ5VM9pcI6mqm999913p/35+fvD390fjxo2RkJBQ7fv116Qc7e3tkZycjEePHuHAgQOYMGECGjVqhE6dOuk/UBOmyzKsqftiRcqwup+TVpYuy9AQ+yEb0nWkTp06MDc3x507dxSG37lzBx4eHkrn8fDw0Gh6fdIm/tIsLS3RsmVLXLt2TR8h6oWqbeDg4FCl7wxq06aN0Ruvx4wZgx07duDQoUPl3hFsSsdCSZrkUJopHA9yuRxNmjQBALRu3RqnTp3CF198gRUrVpSZ1hS3gSbxl2YK5X/mzBncvXtX4cmQwsJCHDp0CF9//bV0N0dJprgdqrOqXnerUpk6fdGiRYiJicH+/fvLfTmuoWmaV3p6OjIyMhAeHi4NKyoqAgBYWFggLS0NjRs31m/QFaTNNvP09ISlpaXC90jz5s1x+/Zt5OfnQy6X6zXmitAmr+nTp2PgwIEYPnw4gOcXQbm5uRgxYgSmTp0KM7Oq2TNldT3nLCk+Ph7Dhw/HDz/8YFJPs2gjJycHp0+fxrlz5zBmzBgAz78/hBCwsLDA3r178dprrxk5SqqKtLm+0KRubtSoEerUqYNr165V68ZLTcvRzMxMuq4IDAxEamoqoqOj0alTJ6k+unPnDjw9PaV57ty5g8DAQL3Ebwp0WYbK1IR9saJlWJFzUu6HlS9DZef1+tgPq+aZqAmSy+Vo3bo1Dhw4IA0rKirCgQMHVPbp265dO4XpAWDfvn1q+wDWF23iL62wsBAXL15UOOhNnSltA11KTk422nYQQmDMmDHYunUrfv31VzRs2LDceUxtO2iTQ2mmeDwUFRUhLy9P6ThT2wbKqIu/NFMo/86dO+PixYtITk6WPkFBQRgwYACSk5OVPlpWFbZDdVLV625VtK3TFyxYgDlz5mDPnj0ICgoyRKga0TSvF198scwx+O9//xuvvvoqkpOT4eXlZcjw1dJmm7Vv3x7Xrl2TLiIA4MqVK/D09DSJRnRAu7weP35cprG8+PtSCKG/YPWsKnx3VMamTZswdOhQbNq0CWFhYcYOp9IcHBzKfH98+OGH0tNybdu2NXaIVMVoe32had38xx9/4N69eyZ1DaJLurhOAxSvKxo2bAgPDw+F7+iHDx/ixIkT1eY7uiR9lKEy1Xlf1LQMK3JOyv2w8mWojF72Q72+yrSGiY+PF1ZWViI2NlZcvnxZjBgxQjg5OYnbt28LIYQYOHCgmDx5sjT90aNHhYWFhVi0aJFITU0VUVFRwtLSUly8eLFKxD9r1izxyy+/iPT0dHHmzBnx7rvvCmtra3Hp0iWjxC+EEDk5OeLcuXPi3LlzAoBYvHixOHfunLh586YQQojJkyeLgQMHStNfv35d2NjYiIkTJ4rU1FSxbNkyYW5uLvbs2WOsFDTOYcmSJWLbtm3i6tWr4uLFiyIiIkKYmZmJ/fv3GyX+UaNGCUdHR5GQkCCysrKkz+PHj6VpTP1Y0CYHUzseJk+eLBITE8WNGzfEhQsXxOTJk4VMJhN79+5VGr+pbQNN4ze18lclJCRERERESH+b+naoCap63a2KpnnFxMQIuVwufvzxR4XvvZycHGOloJSmeZU2ePBg0bNnTwNFqxlNc8vMzBT29vZizJgxIi0tTezYsUO4ubmJzz77zFgpKKVpXlFRUcLe3l5s2rRJXL9+Xezdu1c0btxYvPPOO8ZKQanqcM6piqa5bdiwQVhYWIhly5YpfH/cv3/fWCkopWlepUVFRYmAgAADRUvVjTbXF+XVzTk5OSIyMlIkJSWJGzduiP3794tWrVqJpk2biqdPnxo8R0PQphznzZsn9u7dK9LT08Xly5fFokWLhIWFhVi5cqU0TUxMjHBychI//fSTuHDhgujZs6do2LChePLkiUHzMwR9lGFN2xe1KcPSlJ2Tcj+sXBkaaj9kQ7qOffXVV6J+/fpCLpeLNm3aiOPHj0vjQkJCxODBgxWm37x5s2jWrJmQy+XipZdeEjt37jRwxIo0iX/cuHHStO7u7uKNN94QZ8+eNULU/9/BgwcFgDKf4rgHDx4sQkJCyswTGBgo5HK5aNSokVi7dq3B4y4djyY5zJ8/XzRu3FhYW1sLFxcX0alTJ/Hrr78aJ3ghlMYOQKFcTf1Y0CYHUzse3n//fdGgQQMhl8uFq6ur6Ny5s9QILYTpbwNN4ze18leldEO6qW+HmqKq192qaJJXgwYNlH7vRUVFGT7wcmi6vUoy5YZ0ITTP7dixY6Jt27bCyspKNGrUSMydO1cUFBQYOOryaZLXs2fPxMyZM6VzGy8vL/HRRx+J7OxswweuRnU451RF09xCQkLUTm8qtNlmJbEhnSpDm+uL8urmx48fi27duglXV1dhaWkpGjRoID744APph8rqSJtynDp1qmjSpImwtrYWzs7Ool27diI+Pl5huUVFRWL69OnC3d1dWFlZic6dO4u0tDQDZWVY+ijDmrYvatvmUZKyc1Luh5UrQ0Pth7L/JUBEREREREREREREREqwj3QiIiIiIiIiIiIiIjXYkE5EREREREREREREpAYb0omIiIiIiIiIiIiI1GBDOhERERERERERERGRGmxIJyIiIiIiIiIiIiJSgw3pRERERERERERERERqsCGdiIiIiIiIiIiIiEgNNqQTERGpcOjQIYSHh6Nu3bqQyWTYtm2bRvMnJCSgZ8+e8PT0hK2tLQIDA7FhwwaV08fHx0Mmk6FXr16VC5yIiIiUqmzdPnPmTMhksjIfW1tb/QRMRCZj5syZCAwMNOg6O3XqhHHjxhl0ndpISEiATCbD/fv3KzyPrsszLS0NHh4eyMnJ0dkytbV8+XKEh4cbOwzSAzakExERqZCbm4uAgAAsW7ZMq/mPHTsGf39//Pe//8WFCxcwdOhQDBo0CDt27CgzbUZGBiIjI9GxY8fKhk1E1UBFL0i9vb2xdOlSvcSgq4v3AwcOoHnz5igsLNR6Gfn5+fD29sbp06crHQ/VbJWt2yMjI5GVlaXw8fX1RZ8+fXQcKZHpGTJkCGQyGT788MMy40aPHg2ZTIYhQ4YYPjAyuuDgYGRlZcHR0VGny9XkXOTTTz/F2LFjYW9vr9MYtPH+++/j7NmzOHz4sLFDIR1jQzoRkQHcv38fQUFBCAwMRIsWLbBy5Upjh0QV8Prrr+Ozzz5D7969lY7Py8tDZGQkXnjhBdja2qJt27ZISEiQxk+ZMgVz5sxBcHAwGjdujIiICHTv3h1btmxRWE5hYSEGDBiAWbNmoVGjRvpMiYhMSFJSEszNzREWFlbutLGxsXBycioz/NSpUxgxYoT0tzZ32OrbpEmTMG3aNJibm2u9DLlcjsjISHzyySc6jIxqosrW7XZ2dvDw8JA+d+7cweXLlzFs2DADZUBkXF5eXoiPj8eTJ0+kYU+fPsXGjRtRv359I0ZGygghUFBQoPf1yOVyeHh4QCaT6X1dymRmZmLHjh0m80OOXC5H//798eWXXxo7FNIxNqQTERmAvb09Dh06hOTkZJw4cQLz5s3DvXv3jB0WVdKYMWOQlJSE+Ph4XLhwAX369EH37t1x9epVlfM8ePAALi4uCsNmz54NNzc3XoQT1TCrV6/G2LFjcejQIfz5559aLcPV1RU2NjY6jkx3jhw5gvT0dLz11luVXtaAAQNw5MgRXLp0SQeRESmnad2+atUqNGvWjE+UUY3RqlUreHl5KdwYsmXLFtSvXx8tW7ZUmLaoqAjR0dFo2LAhatWqhYCAAPz444/S+MLCQgwbNkwa7+Pjgy+++EJhGUOGDEGvXr2waNEieHp6onbt2hg9ejSePXumMsbiLkPWrFmD+vXrw87ODh999BEKCwuxYMECeHh4wM3NDXPnzlWYLzMzEz179oSdnR0cHBzwzjvv4M6dO2rLY9WqVWjevDmsra3x4osv4ptvvlEY/8cff6Bfv35wcXGBra0tgoKCcOLECYXcSho3bhw6deqkcn3fffcdgoKCYG9vDw8PD/Tv3x93796Vxhc/0bZ79260bt0aVlZWOHLkSJnlvP322xgzZozCemUyGX777TcAz58Es7W1xf79+wGUvy2VPUm3cuVKeHl5wcbGBr1798bixYuV3hTw3XffwdvbG46Ojnj33XelrlmGDBmCxMREfPHFF1I3WhkZGUrLZfPmzQgICMALL7wgDbt37x769euHF154ATY2NvDz88OmTZsU5uvUqRPGjh2LcePGwdnZGe7u7li5ciVyc3MxdOhQ2Nvbo0mTJti9e7c0j7KbG7Zt21bmR4Tw8HBs375d4UcnqvrYkE5UBZlCP2mGjkGf67t37x7c3NxUVsq6YG5uLjV05OXlQQgBIYQ0/t1338Xnn3+ut/WT7mVmZmLt2rX44Ycf0LFjRzRu3BiRkZHo0KED1q5dq3SezZs349SpUxg6dKg07MiRI1i9ejWfUiCqYR49eoTvv/8eo0aNQlhYGGJjY1VOm5CQgKFDh+LBgwfSheTMmTMBKHbt4u3tDQDo3bs3ZDKZ9HdFLtRzc3MxaNAg2NnZwdPTU2mdVN6dusrEx8eja9eusLa2loZp28Dh7OyM9u3bIz4+Xu06ibSlad3+9OlTbNiwgT+EU43z/vvvKxwTa9asUTi/LRYdHY1169Zh+fLluHTpEsaPH4/33nsPiYmJAJ43ztarVw8//PADLl++jBkzZmDKlCnYvHmzwnIOHjyI9PR0HDx4EHFxcYiNjVVbbwJAeno6du/ejT179mDTpk1YvXo1wsLC8McffyAxMRHz58/HtGnTpEbtoqIi9OzZE//88w8SExOxb98+XL9+HX379lW5jg0bNmDGjBmYO3cuUlNTMW/ePEyfPh1xcXEAntf1ISEhuHXrFrZv347z589j0qRJKCoqqlA5K/Ps2TPMmTMH58+fx7Zt25CRkaH0LuzJkycjJiYGqamp8Pf3LzM+JCREoQ5PTExEnTp1pGGnTp3Cs2fPEBwcDKD8bVna0aNH8eGHHyIiIgLJycno2rVrmXodeL6dtm3bhh07dmDHjh1ITExETEwMAOCLL75Au3bt8MEHH0hdaXl5eSld3+HDhxEUFKQw7OnTp2jdujV27tyJlJQUjBgxAgMHDsTJkycVpouLi0OdOnVw8uRJjB07FqNGjUKfPn0QHByMs2fPolu3bhg4cCAeP36sdN2qBAUFoaCgQNrHqJoQRKSxwYMHCwAiOjpaYfjWrVuFIQ6rkJAQERERoff1mFIM9+7dEw8fPtTL+sePHy+GDx+uk2Wpk52dLfz9/UWtWrXE119/rTDu4sWLwtnZWdy/f1/vcZB2AIitW7dKf+/YsUMAELa2tgofCwsL8c4775SZ/9dffxU2NjYiLi5OGvbw4UPh7e0tdu3aJQ0bPHiw6Nmzpz5TISITsHr1ahEUFCSEEOLnn38WjRs3FkVFRdL4gwcPCgAiOztb5OXliaVLlwoHBweRlZUlsrKyRE5OjhBCiAYNGoglS5YIIYS4e/euACDWrl0rsrKyxN27d4UQyr9XIiIiREhIiPT3qFGjRP369cX+/fvFhQsXRI8ePYS9vb1CXTt8+HARHBwsDh06JK5duyYWLlworKysxJUrV1Tm6e/vL2JiYhSGRUVFCTs7O/H222+LS5cuie3btwu5XC5CQ0PF2LFjxW+//SbWrFkjAIjjx48rzPvJJ58oxE1UGZWt2zdu3CgsLCzE7du3DRg1kfEU1yd3794VVlZWIiMjQ2RkZAhra2vx119/iZ49e4rBgwcLIYR4+vSpsLGxEceOHVNYxrBhw0S/fv1UrmP06NHirbfeUlhngwYNREFBgTSsT58+om/fviqXERUVJWxsbBSuH0NDQ4W3t7coLCyUhvn4+EjX9Hv37hXm5uYiMzNTGn/p0iUBQJw8eVJabkBAgDS+cePGYuPGjQrrnjNnjmjXrp0QQogVK1YIe3t7ce/ePaVxVqR+Lu+699SpUwKAdF5QfP6wbds2lfMIIcSFCxeETCYTd+/eFf/884+Qy+Vizpw5Url+9tlnIjg4WAhRsW1Z8rxFCCH69u0rwsLCFKYfMGCAcHR0lP5Wtp0mTpwo2rZtW+H8iwUEBIjZs2eXO11YWJj4+OOPFZbfoUMH6e+CggJha2srBg4cKA3LysoSAERSUpIQQoi1a9cq5CGE6rYgZ2dnERsbW25cVHVYGKHtnqhasLa2xvz58zFy5Eg4OzsbOxydyM/Ph1wuN3YYSpXuCkNXHj9+jNWrV+OXX36p9LICAwOV9j+3d+9e1K1bF05OTjh//jzu3LmDN998E2+//Tbc3d0BAC1atEDjxo2xfv16jB49utKxkP49evQI5ubmOHPmTJl+f+3s7BT+TkxMRHh4OJYsWYJBgwZJw9PT05GRkaHwRvfiO1QsLCyQlpaGxo0b6zELIjKW1atX47333gMAdO/eHQ8ePEBiYqLSx7nlcjkcHR0hk8ng4eGhcpmurq4AACcnJ7XTlfbo0SOsXr0a69evR+fOnQE8vzurXr160jTFd+pmZmaibt26AJ6/dHHPnj1Yu3Yt5s2bp3TZN2/elKYvqaioCGvWrIG9vT18fX3x6quvIi0tDbt27YKZmRl8fHwwf/58HDx4EG3btpXmq1u3Lm7evFnh3Ig0oUndDjzv0qFHjx7S+RxRTeHq6io9TSWEQFhYGOrUqaMwzbVr1/D48WN07dpVYXh+fr5CFzDLli3DmjVrkJmZiSdPniA/Px+BgYEK87z00ksKx6SnpycuXryoNkZvb2+Fl066u7vD3NwcZmZmCsOKu0VJTU2Fl5eXwh3Pvr6+cHJyQmpqKl5++WWF5efm5iI9PR3Dhg3DBx98IA0vKCiQXriZnJyMli1b6vRa9syZM5g5cybOnz+P7Oxs6dohMzMTvr6+0nSl784urUWLFnBxcUFiYiLkcjlatmyJHj16SC9iLnlOUtFtWVJaWlqZd1G0adMGO3bsUBhWejt5enoqdFVTUU+ePFF4+g143nXQvHnzsHnzZty6dQv5+fnIy8sr0yVeyTv2zc3NUbt2bfj5+UnDir/jtYmrVq1aGt/JTqaNXbsQaalLly7w8PBAdHS0ymlKPm5dLDAwUHocG9CuTy7geQU9ZswYODo6ok6dOpg+fbpCVyHl9WFWvO4xY8Zg3LhxqFOnDkJDQ5XmUd7j3hVd13/+8x9MmjQJLi4u8PDwUCgHAPjxxx/h5+eHWrVqoXbt2ujSpQtyc3Ol+Yu7dlHWV9rs2bNRu3Zt5OXlKSyzV69eGDhwoNK8AGDXrl2wsrLCv/71L4VYtdkmycnJSElJKfMp3YDg7u6OgICAMm/wDg8P5+PqVUjLli1RWFiIu3fvokmTJgqfkg1YCQkJCAsLw/z58xVeCAgAL774Ii5evIjk5GTp8+9//xuvvvoqkpOTVT66SERVW1paGk6ePIl+/foBeP7DWd++fbF69WqjxJOeno78/HyFBmsXFxf4+PhIf1+8eBGFhYVo1qwZ7OzspE9iYiLS09NVLlvZhS2gvIHD19dXZQNHMV6Qkj5VtG4HgBs3buDgwYPs1oVqrPfffx+xsbGIi4vD+++/X2b8o0ePAAA7d+5UONe9fPmydK0YHx+PyMhIDBs2DHv37kVycjKGDh2K/Px8hWVZWloq/C2TycrtHkXZPNosR5Xi/FauXKmQX0pKCo4fPw7geZ2ljpmZmcI1PAC1fb/n5uYiNDQUDg4O2LBhA06dOoWtW7cCQJkys7W1VbtumUyGV155BQkJCVKjub+/P/Ly8pCSkoJjx44hJCREIVd121JbutomderUQXZ2tsKwhQsX4osvvsAnn3yCgwcPIjk5GaGhoRXav0oOK+77vDguTbbbP//8I93oQNUD70gn0pK5uTnmzZuH/v374z//+Y/CXVuaiouLw6RJk3Dy5Empv9StW7eid+/emDJlCpYsWYKBAwciMzNT+vU0Li4Ow4YNw8mTJ3H69GmMGDEC9evXl34Nj46Oxvr167F8+XI0bdoUhw4dwnvvvQdXV1epQixezqhRo3D06FGV8U2cOBGJiYn46aef4ObmhilTpuDs2bPSnQKarGvChAk4ceIEkpKSMGTIELRv3x5du3ZFVlYW+vXrhwULFqB3797IycnB4cOHy1RQwPO+0q5cuYIWLVpg9uzZAJ6/zHPx4sXYvn07+vTpA+D5L8Y7d+7E3r17VeZ2+PBhtG7dWifbRJ07d+7AxsYG9vb2ePDgAQ4dOoRRo0YpTNOmTRvMnTsXeXl5sLKyKneZpH+PHj3CtWvXpL9v3LiB5ORkuLi4oFmzZhgwYAAGDRqEzz//HC1btsRff/2FAwcOwN/fH2FhYTh48CB69OiBiIgIvPXWW7h9+zaA53eXuri4wNraGi1atFBYZ/GLa0oPJ6LqY/Xq1SgoKFD4oVUIASsrK3z99dfSnWy6oumFujKa3qlbTNmFLaB9AwcvSKmyKlu3F1uzZg08PT3x+uuvGyMNIqPr3r078vPzIZPJlN6Q5evrCysrK2RmZipcE5Z09OhRBAcH46OPPpKGqftxVp+aN2+O33//Hb///rt0M8vly5dx//59hTu9i7m7u6Nu3bq4fv06BgwYoHSZ/v7+WLVqFf755x+ld6W7uroiJSVFYVhycnKZ+rDYb7/9hnv37iEmJkaK8fTp0xrlWVJISAhWrlwJKysrzJ07F2ZmZnjllVewcOFC5OXloX379gAqti1L8/HxwalTpxSGlf67IuRyOQoLC8udrmXLlrh8+bLCsKNHj6Jnz57SE4BFRUW4cuWK0u2pCVdXV+Tk5CA3N1f6wSI5ObnMdOnp6Xj69KnKu/apauId6USV0Lt3bwQGBiIqKqpSywkICMC0adPQtGlTfPrpp7C2tkadOnXwwQcfoGnTppgxYwbu3buHCxcuSPN4eXlhyZIl8PHxwYABAzB27FgsWbIEwPOXgc2bNw9r1qxBaGgoGjVqhCFDhuC9997DihUrFNbdtGlTLFiwAD4+Pgp3nhUrftx70aJF6Ny5M/z8/BAXFyd1YaLJuvz9/REVFYWmTZti0KBBCAoKwoEDBwAAWVlZKCgowJtvvglvb2/4+fnho48+Unpx7ujoCLlcDhsbG3h4eMDDwwO2trbo37+/wktv1q9fj/r166t967mqR8612Sbq3Lx5Ex07dkRAQAA6duyIsWPHKjwuBjx/XD0/P19qbCXjO336NFq2bCmd/EyYMAEtW7bEjBkzAABr167FoEGD8PHHH8PHxwe9evXCqVOnUL9+fQDPf5B5/PgxoqOj4enpKX3efPNNo+VERMZVUFCAdevW4fPPP1e4q+v8+fOoW7cuNm3apHS+il5IWlpalpnO1dUVWVlZCsNKXvA1btwYlpaWCi/Dys7OxpUrV6S/NblTtyRlF7aVkZKSwgtSqpTK1u3A88aY2NhYDBkypMwPS0Q1hbm5OVJTU3H58mWlx4G9vT0iIyMxfvx4xMXFIT09HWfPnsVXX30lvYyzadOmOH36NH755RdcuXIF06dP16qxVRe6dOkCPz8/DBgwAGfPnsXJkycxaNAghISEqOwmZdasWYiOjsaXX36JK1eu4OLFi1i7di0WL14MAOjXrx88PDzQq1cvHD16FNevX8d///tfJCUlAQBee+01nD59GuvWrcPVq1cRFRVVpmG9pPr160Mul+Orr77C9evXsX37dsyZM0frnDt16oTLly/j0qVL6NChgzRsw4YNCAoKkhqJK7ItSxs7dix27dqFxYsX4+rVq1ixYgV2794t3d1dUd7e3jhx4gQyMjLw999/q7xbPTQ0FElJSQrnQE2bNsW+fftw7NgxpKamYuTIkbhz545G61embdu2sLGxwZQpU5Ceno6NGzcqffnt4cOH0ahRI3bVWc2wIZ2okubPn4+4uDikpqZqvQxt+uT617/+pVAJtWvXDlevXkVhYaFCH2YlH79et25dmV/4ld2NXVJ5j3trsq7Sbwsv2f9ZQECA1FDfp08frFy5UukdbOp88MEH2Lt3L27dugUA0gWOuspa1SPnuu4nrU2bNlJDyYULFzBy5Mgy0xQ/+sdH1k1Hp06dIIQo8yk+UbK0tMSsWbNw48YN5Ofn488//8SWLVukfaW438jSn4SEBJXrjI2NxbZt2/SfHBEZxY4dO5CdnY1hw4ahRYsWCp+33npLZfcu3t7eePToEQ4cOIC///5bZV3h7e2NAwcO4Pbt21I9Wt6Fup2dHYYNG4aJEyfi119/RUpKCoYMGaLQzUrJO3W3bNmCGzdu4OTJk4iOjsbOnTtV5hsaGoojR45oU1RKHT58GN26ddPZ8qjmqWzdDjx/yuP333/H3LlzjZQFkWlwcHCAg4ODyvFz5szB9OnTER0djebNm6N79+7YuXMnGjZsCAAYOXIk3nzzTfTt2xdt27bFvXv3FO5ONySZTIaffvoJzs7OeOWVV9ClSxc0atQI33//vcp5hg8fjlWrVmHt2rXw8/NDSEgIYmNjpfzkcjn27t0LNzc3vPHGG/Dz80NMTIz0w0NoaCimT5+OSZMm4eWXX0ZOTo7C+5RKc3V1RWxsLH744Qf4+voiJiYGixYt0jpnPz8/ODk5ITAwULqBrVOnTigsLCxzM1p527K09u3bY/ny5Vi8eDECAgKwZ88ejB8/Xum1tzqRkZEwNzeHr68vXF1dkZmZqXS6119/HRYWFti/f780bNq0aWjVqhVCQ0PRqVMn6UeNynJxccH69euxa9cu+Pn5YdOmTWW6rQWATZs2KfSfT9WEId9sSlRdlH679htvvCF69uxZ5k3NDRs2FIsXL1aY19fXV0RFRUl/K3sLdYMGDcSSJUsUhgEQW7duleYZOnSowvht27YJCwsLUVBQII4fPy4AiISEBHH16lWFT8m3kFfkDdjJyckCgLh586bC8MDAQBEREVGpdZV8q7sQQhQVFYkjR46IGTNmCD8/P+Hq6iquX7+udH5Vsbdq1UrMmzdPnD59WpiZmSnEoEz//v3LvDVem22iC8Vl+ddff+lsmUREZFp69Ogh3njjDaXjTpw4IQCI8+fPi4MHDwoAIjs7Wxr/4Ycfitq1awsA0rlE6fpp+/btokmTJsLCwkI0aNBAGj5jxgzh7u4uHB0dxfjx48WYMWNESEiIND4nJ0e89957wsbGRri7u4sFCxaUqQ/z8/PFjBkzhLe3t7C0tBSenp6id+/e4sKFCyrzvXfvnrC2tha//fabNCwqKkoEBAQoTFf63EqIsvXxsWPHhJOTk3j8+LHK9REREZFpGj58uOjQoYPelv/111+Lbt266W35mkhJSRFubm7i/v37xg6FdIx9pBPpQExMDAIDA8t0jVL6UeqHDx/ixo0bOllnycevAeD48eNo2rSp9Gutpn2YqVLyce/iR1qLH/cOCQnR6bpkMhnat2+P9u3bY8aMGWjQoAG2bt2KCRMmlJlW1SPuw4cPx9KlS3Hr1i106dKl3Jc1tmzZEuvXr69U3LqSkpKCevXqlXnjPRERVR8///yzynFt2rRR6MtclOrX/Ntvv8W3336rMCwjI0Ph7/DwcISHh5dZ9qxZszBr1iyV67azs8N3332H7777Tho2ceJEhWmK79RVt5zSXFxcMGbMGCxevFjq8m3mzJll7txS9kh06ad3li5diokTJ5b78jYiIiIyvkWLFqFr166wtbXF7t27ERcXh2+++UZv6xs5ciTu37+PnJwchReaG0NWVhbWrVun8/fekPGxIZ1IB4r7Uvvyyy8Vhr/22muIjY1FeHg4nJycMGPGDJ31o5iZmYkJEyZg5MiRUv9kn3/+OQDFPsyKiorQoUMHPHjwAEePHoWDgwMGDx5c4fWUfNy7du3acHNzw9SpU6XHvXW1rhMnTuDAgQPo1q0b3NzccOLECfz1119o3ry50ulL9pVmZ2cHFxcXmJmZoX///oiMjMTKlSuxbt26ctcbGhqKTz/9FNnZ2XB2dq5wuegDH1cnIqLqaOrUqfjmm29QVFSk0F2MJvLz8+Hn54fx48frODoiIiLSh5MnT2LBggXIyclBo0aN8OWXX2L48OF6W5+FhQWmTp2qt+VrokuXLsYOgfSEDelEOjJ79uwy/ad9+umnuHHjBnr06AFHR0fMmTNHZ3ekDxo0CE+ePEGbNm1gbm6OiIgIjBgxQho/Z84cuLq6Ijo6GtevX4eTkxNatWqFKVOmaLyuhQsX4tGjRwgPD4e9vT0+/vhjPHjwQKfrcnBwwKFDh7B06VI8fPgQDRo0wOeff47XX39d6fSRkZEYPHgwfH198eTJE9y4cQPe3t5wdHTEW2+9hZ07d1ao/zM/Pz+0atUKmzdvVtpvuaE8ffoU27Ztw549e4wWAxERkT44OTlpdf5Rklwux7Rp03QUEREREenb5s2bjR0Ckc7JROlnRomIqrjOnTvjpZdeKvOEgCo7d+7ExIkTkZKSovWdcpX17bffYuvWrdi7d69R1k9ERERERERERKrxjnQiqjays7ORkJCAhIQEjfpeCwsLw9WrV3Hr1q1y+1TXF0tLS3z11VdGWTcREREREREREanHO9KJqNrw9vZGdnY2pk+fjsjISGOHQ0RERERERERE1QQb0omIiIiIiIiIiIiI1DBOZ8BERERERERERERERFUEG9KJiIiIiIiIiIiIiNRgQzoRERERERERERERkRpsSCciIiIiIiIiIiIiUoMN6UREREREREREREREarAhnYiIiIiIiIiIiIhIDTakExERERERERERERGpwYZ0IiIiIiIiIiIiIiI12JBORERERERERERERKQGG9KJiIiIiIiIiIiIiNRgQzoRERERERERERERkRpsSCciIiIiIiIiIiIiUuP/AVjoCCOrXv7iAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from taurex.constants import AMU\n", "\n", "em.initialize_profiles()\n", "\n", "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(15, 5))\n", "\n", "ax1.plot(em.densityProfile, em.pressureProfile / 1e5, lw=2)\n", "ax1.invert_yaxis()\n", "ax1.set_yscale('log')\n", "ax1.set_xlabel(r'Number density (m$^{-3}$)')\n", "ax1.set_ylabel('Pressure (bar)')\n", "ax1.set_title('Number density')\n", "ax1.grid(alpha=0.2)\n", "\n", "ax2.plot(em.altitudeProfile, em.pressureProfile / 1e5, lw=2)\n", "ax2.invert_yaxis()\n", "ax2.set_yscale('log')\n", "ax2.set_xlabel('Altitude (m)')\n", "ax2.set_ylabel('Pressure (bar)')\n", "ax2.set_title('Altitude grid')\n", "ax2.grid(alpha=0.2)\n", "\n", "ax3.plot(em.chemistry.muProfile / AMU, em.pressureProfile / 1e5, lw=2)\n", "ax3.invert_yaxis()\n", "ax3.set_yscale('log')\n", "ax3.set_xlabel('Mean molecular weight (amu)')\n", "ax3.set_ylabel('Pressure (bar)')\n", "ax3.set_title('Mean molecular weight')\n", "ax3.grid(alpha=0.2)\n", "\n", "fig.tight_layout()" ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 5 }