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IHI F30HN3 Expected Performance Curve
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{
"cells": [
{
"cell_type": "markdown",
"id": "7dc57182",
"metadata": {},
"source": [
"### Analisis Kurva Performa Kompresor Sentrifugal IHI F30HN3\n",
"\n",
"| **Suction Condition** | | **Design Condition** | |\n",
"|------------------------------|-------------|-----------------------------|---------------|\n",
"| Atmospheric Pressure | 0.1 MPa | Gas Type | N₂ |\n",
"| Suction Pressure | 0.715 MPa | Flow Rate | 36800 Nm³/h |\n",
"| Suction Temperature | 37 °C | Discharge Pressure | 2.9 MPaG |\n",
"| Humidity | 0% | Shaft Input Power | 2250 kW |\n",
"| Cooling Water Temperature | 32 °C | Discharge Temperature | 40 °C |\n",
"\n",
"Referensi: [Ketika Kompresor Sentrifugal Tidak Sesuai Harapan – Peran Kurva Performa dalam Evaluasi Operasional](https://blog.kiiota.com/ketika-kompresor-sentrifugal-tidak-sesuai-harapan-peran-kurva-performa-dalam-evaluasi-operasional/)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4a94e1c6",
"metadata": {},
"outputs": [],
"source": [
"%pip install matplotlib\n",
"%pip install numpy\n",
"%pip install scipy"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "f8887a62",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inlet flow pada tekanan 2930.00 kPaG: 36478.67 Nm³/h\n"
]
}
],
"source": [
"# Script: flow_vs_pressure.py\n",
"# Dibuat oleh: Ketut Kumajaya dengan bantuan AI (ChatGPT - OpenAI)\n",
"# Tujuan: Visualisasi hubungan antara flow dan pressure kompresor sentrifugal\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"from scipy.interpolate import interp1d\n",
"\n",
"# Data IGV 100%\n",
"inlet_100 = [\n",
" 29672.98, 29841.14, 30055.69, 30247.04, 30438.39, 30629.74, 30821.10, 31012.45, 31203.80, 31395.16,\n",
" 31586.51, 31777.86, 31969.21, 32160.57, 32351.92, 32543.27, 32734.63, 32925.98, 33117.33, 33308.68,\n",
" 33500.04, 33691.39, 33882.74, 34074.10, 34265.45, 34456.80, 34648.16, 34839.51, 35030.86, 35222.21,\n",
" 35413.57, 35604.92, 35796.27, 35987.63, 36178.98, 36380.60, 36597.60, 36788.68, 36940.45, 37077.99,\n",
" 37231.42, 37396.68, 37553.24, 37692.41, 37814.18, 37927.25, 38030.38, 38133.70, 38234.09, 38305.60,\n",
" 38370.84, 38440.42, 38492.61, 38553.49, 38605.68, 38668.14, 38711.75, 38767.80, 38805.73, 38866.62,\n",
" 38920.05\n",
"]\n",
"\n",
"pressure_100 = [\n",
" 3201.51, 3200.44, 3199.04, 3197.77, 3195.89, 3194.36, 3191.55, 3188.91, 3186.18, 3182.94,\n",
" 3179.11, 3175.10, 3170.93, 3166.16, 3160.96, 3155.25, 3149.04, 3142.30, 3135.23, 3127.48,\n",
" 3119.13, 3110.27, 3100.99, 3091.19, 3080.97, 3070.06, 3059.07, 3047.40, 3035.73, 3023.88,\n",
" 3011.87, 2999.52, 2986.06, 2971.41, 2955.81, 2939.37, 2920.77, 2902.39, 2885.00, 2867.35,\n",
" 2848.48, 2828.29, 2808.30, 2789.21, 2768.59, 2748.27, 2727.49, 2704.90, 2683.63, 2661.89,\n",
" 2640.46, 2618.12, 2596.16, 2573.49, 2551.94, 2528.65, 2505.56, 2483.39, 2461.66, 2438.54,\n",
" 2417.44\n",
"]\n",
"\n",
"\n",
"# Target pressures\n",
"target_pressure_100 = 2930.0\n",
"target_pressure_design = 2900.0\n",
"target_inlet_design = 36800.0\n",
"\n",
"\n",
"# Fungsi Moving Average\n",
"def moving_average(data, window_size):\n",
" return np.convolve(data, np.ones(window_size)/window_size, mode='valid')\n",
"\n",
"\n",
"# Fungsi gabungan smoothing dan interpolasi\n",
"def smooth_and_interpolate(inlet, pressure, window_size=5):\n",
" smoothed_inlet = moving_average(inlet, window_size)\n",
" smoothed_pressure = moving_average(pressure, window_size)\n",
" interp = interp1d(smoothed_inlet, smoothed_pressure, kind='linear')\n",
" inlet_smooth = np.linspace(min(smoothed_inlet), max(smoothed_inlet), 500)\n",
" pressure_smooth = interp(inlet_smooth)\n",
" return inlet_smooth, pressure_smooth\n",
"\n",
"\n",
"# Fungsi anotasi titik dengan panah\n",
"def annotate_point(x, y, label, color, offset=(60, 60)):\n",
" plt.plot(x, y, 'o', color=color)\n",
" plt.annotate(f'{label:.0f} Nm³/h', xy=(x, y),\n",
" xytext=(x + offset[0], y + offset[1]),\n",
" arrowprops=dict(facecolor=color, arrowstyle='->'), color=color)\n",
"\n",
"\n",
"# Proses smoothing dan interpolasi\n",
"inlet_100_smooth, pressure_100_smooth = smooth_and_interpolate(inlet_100, pressure_100)\n",
"\n",
"\n",
"# Titik pertemuan untuk tekanan target\n",
"target_inlet_100 = inlet_100_smooth[np.argmin(np.abs(pressure_100_smooth - target_pressure_100))]\n",
"\n",
"# Plot\n",
"plt.plot(inlet_100_smooth, pressure_100_smooth, color='black')\n",
"\n",
"# Garis horizontal\n",
"plt.axhline(y=target_pressure_100, color='red', linestyle='--')\n",
"plt.axhline(y=target_pressure_design, color='black', linestyle='--')\n",
"\n",
"# Garis vertikal\n",
"plt.axvline(x=target_inlet_100, color='red', linestyle='--')\n",
"plt.axvline(x=target_inlet_design, color='black', linestyle='--')\n",
"\n",
"# Anotasi target pressure\n",
"plt.text(inlet_100_smooth[0], target_pressure_100 + 5, f'{target_pressure_100:.2f} kPaG', color='red')\n",
"plt.text(inlet_100_smooth[0], target_pressure_design + 5, f'{target_pressure_design:.2f} kPaG', color='black')\n",
"\n",
"# Anotasi titik\n",
"annotate_point(target_inlet_100, target_pressure_100, target_inlet_100, 'red')\n",
"annotate_point(target_inlet_design, target_pressure_design, target_inlet_design, 'black')\n",
"\n",
"# Label dan style\n",
"plt.title(\"Inlet Flow vs Discharge Pressure F30HN3 Cikande\", fontsize=14)\n",
"plt.xlabel(\"Inlet flow, Nm³/h\")\n",
"plt.ylabel(\"Discharge pressure, kPaG\")\n",
"plt.grid(True)\n",
"plt.tight_layout()\n",
"\n",
"# Simpan sebagai SVG\n",
"plt.savefig(\"F30HN3_Cikande_Flow_vs_Pressure.svg\", format='svg')\n",
"\n",
"# Tampilkan\n",
"plt.show()\n",
"\n",
"# Output\n",
"print(f\"Inlet flow pada tekanan {target_pressure_100:.2f} kPaG: {target_inlet_100:.2f} Nm³/h\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "ed16517a",
"metadata": {},
"outputs": [
{
"data": {
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QZ7LeY8ob8MUXXyT42aXzT59Vmi+t10ZTNnzpXFFugDP5m+LlpLj++utP29/fNg1n1/tK71V/f2/0eeE9t/j5OACkDQTdANItb+6wLy/o853PnND8Om+OojdP0R8l5Ao1BZIKfhS0xKd5kgquvORl3uuiQFdJw/RFU0GM9lEQo6BbtE3zZRUUaL5tcgMTBUn6IqsSP17Q/c4778Te50tzp1966SWbNGlSbNkkHZvmd2t7UhmwvQAjJXWBvdchofmj3pds39frTCXUhrddFzrOlOaJ+6Pz2zdRoPc8lCQqJcd4theIEnudda5pu+/vTdsUoOucUGZvnZsKUhW4aV62gnSdkwq6Ne9ZiQ19L5p479fhw4cnelx6v/oG3Wfy/M+G3keXXXaZvfrqq+69pmReek5e0jTv95rQuaHXVa+VEvMFgvJQ6P2qLPRKSJeSi0D6/FC+CyXU0wUFJbJM6gKa3sMKJHUuJLdcWVKUjE7z93VBKaELoso74V0U0Px5XXBQgkG9tpo7raDZX+LI5P5N8X5//t53/s457/zVee8vmWM4/b0BcGZIpAYAfnhfrvSl+ORUHL+LEi+Fw7Eq0FLvYHxKTKXjjP9lUV+Q9QVOQbWCGK+nUYG2elAV4HhBuW+PYlL0JVelf2bPnu2+eCqwUPIwfaFWL7YvBdWqU6yeZy0qN6T9VOtXiY2Sot4sryc9ubzXQSMY/PF6A31fL6+32jfjtiexwDmhNrztCQXOqcl7Hr4JyvwdS6Da9ff4Oh+13d85KTr3dE7q9VFZLQX56h3XdvX4KUCLf056j6VkfYm9X30Tr4m/zOLB4iVL883AreDPt2fTl4I6BbJ6f3qBXmpTEKx63apxfyb1wPV7UO+/fkfJyWB+Ju/hpGi0hXqLFVhrNI2/QLVfv34uqFZWfCVHU5I1jd7QzyU0WiAlvPe2v/edv/eEd/4qyWBi568uigBImwi6AcAPb0ii71DdpGjIdlI96IGgwET8lc/xtikQ9uUFLcp0rWG7vkNBta6f09BMSWkGdvVoqydUQ08VcKu0lbJrJ0aBhLKvKzOzepz0RTgpylquL6uqLewN90+I12ul/ZUtWgGBvx5yf6+Xhk+Lv/39lRfy6KJF/PJ0uq1gQMGehjYHmi5iKGhVBuT4PXf6Ep+S8zu1zkkNAdf5kdA5qfPOyySv95R3Tuq11vnk75w8k/drqKlHX3x7g/WcJX4GetEwaAWQ3j6BrPqgC3Avv/xyktNwkvu8EqIh7Podjx492u9FQ1+JlSyMT8Gpsoer/JpGEegzyJemIKh8njLC+9JFwtWrV9vZ8t7b+myNz982XZDUZ0JaOn8BpAxBNwD4oXmk+iI/efJkV+YlPgVP8Uv36Euc5gGe6dzsM+X1tqunxndYtHphvbm38Xvk9WVTvWUjR450ZXV8g24FP3oe6nlWiaL4PdRJUXkofZHWMFUt+jIZP+jWF2zfWuceDQvVl+uE6gDHH9KqYbraXzW2fecIe3QRZOLEibEl47zXQj34zz77bGxJKlFpK5UwUi/VnXfeGbvde/7xa57rokJi5Zs0zDV+TWXd1nYdr7/pAKlNAbcuTqh3TaXvfGneblIXK86UzgGdXyob5gVhojnNTz/9tFuPP2dYNdPVy6ja3sopEP+c1O9y4MCBsbd9aUqChlxrmoJvnXDfYMqb9x1Mutjhe455VJtbQa341uPWRRLlXNBFhzlz5sR53bxSh5p3HUh6HXv06OHei97r7UufFwnlARg3bpwbPaMee00BSIr2UZkyfd7odVBPfnz6PNV55G+uc2L0HNSj7eUC8A28NeJBz8/3XNH5pRKGSQX/KfkM1HH79nbr81mje+LTea9yf7ogp880f+eMLlZ5038ApD3M6QaABCjg1pd7zW1UwKJ50EoqtmXLFtcjoS9nvgG2goRvvvnGfcFTshzN39QXaC2BpMdXkjINB9XwbtV21Zc29QD/+eefri5z/GNQb7KCST0Pr06yxwto9Pzq1auX4sRm+gKpBGHqrdNjK8BXIidf6jVWb6h6hCpWrGgXXHCBq108c+ZMFxB79buT0qZNG/dFVgnh9PvR89Tj6vekNjRsVf/7Bir6kq95+rogoOBOtbT1xVgXVzSEXIGx75xZzU1XPV4F3Rp2q8fXz6lH1ksG549eO732ul/D9/UFXwGl5hRrCH2wKLjTMFq9RrpIoONX0KQpAPXr13fzcOMnfDtber1U+1nDZfX7VUChCzh6/mpbr6m/0Q869/S+89Z9L4Lp53VOKjCNn+BKFzD0c0rIp3NKz0tBvC7IKHGZnrfm+Oq5BpOev0ZV6AJe8eLF3eusXlYF1AqkdZ57Q6w9I0aMcNt04efee+91z1Xnq84fr5Z9oOkilT7z/CWl0/tUiQiVnE+vsd67CmCVDEy9xBpNogtdyaUgVJ+jgwcPdr9bfY7qc0yfOwrCde6qTX/BalK6d+/uXnNdYPPOdX326fNSn0/6bNK5qYt8GpWhzwqNovA3QiMldDFB8+LV4+6d/7oIpc9k3fZ30UK/d23X55M+mzSlQhcW9ZmjvyuacqBkeUnlugAQpkKdPh0AAlUyLKUlnvyVxVFpHpXNUhmdHDlyuFI/KvmkmqrTp0+Ps69KGqnkj8pjqfxLYqV2klP72J/EnptKpFWrVs2VydGidX9l0zwq96THUq3s+Lz63gnVHU7Ku+++G1tG6M033zztftXh7t27d/QNN9zgXi+V6Dn//PNdGbCUlvgRlRxSHeayZcu635FKgql82Z133ulqHscvS7Z///7onj17uufp1ea+5ZZbor/66iu/j6/XW4+l+uyqHX3TTTdFr1q1KsnzSY+n0kD6GdWRvuuuu1wN3/hSWjIsodJ0/h5HVF7snnvucSWtdG5cf/31rr67XjPtv2bNmiRe4ZSfqzJz5kx3THrd9HOqba8ySr51pn2NHj3aHY/Ke8X/nd18882nlRXzdx6ofraOU7/X/PnzuzYff/zx6JUrVyZY0zklvPegb13mhHzwwQfudVeZOp0D3nnZqFGjREvd6XmobrbKv3mv2/Dhw/2W1/N+51u3bk3R7y1+ybD4Jk2aFPse9j0H9d5RGTe9d1VyTc9Jz61cuXLRTz75pN9SfMmh95NKG5YqVcp91up4L7roIvdZG7+EWnLqdPtS6Trdp5Jre/fuddv0uaBScno/6Hxr0qSJqwHv7zPWKwum/+NL7O+Ham7rM0nn4oUXXujqsKuOvb863aL7BgwY4D6T9ZrqdVDdc332qBxeQu8bAOEvg/4JdeAPAEB6oV4y9dKqlyulQ2KDTT19Gu2gqQjqAQQAAKmPOd0AAKRzGpYan8q6KdmbpgIQcAMAEDjM6QYAIJ3THFnN5S5btqxL8KSkc+qR19x1f8myAABA6iHoBgAgnVNiLCUxU0ImlZ1S4jFlWFZGbCXDAgAAgRPSOd3KqDp9+nRXskSZZpWRU9lOlb1Sdu7c6ebEKcOksgXrS4Kyear2okq6iLLJqlSIPyqRUqhQodj5df6G2ynLLgAAAAAA6a6nWyU82rdv78rWqEyLSjvcfPPN9t1337nSIKrtqUVD3zQkTnUtdbVe21QfVVROQ2UgfKn2p8pPKOD2pVIMKmXhiX8/AAAAAACpKayyl6v+pgJhBeMJ1bX94IMPXG1PDY9TzUN/j6GakWPHjrUHH3zQbfN6ulVHUjUPAQAAAACIuDndKlki5557bqL7qLfaX8Atb7/9tuXMmdMaN2582n2VKlWyI0eOuIQyKuNSo0aNZB3XiRMnXO+6Es5kyJAh2c8HAAAAAJA+qf963759dv7551vGjBnDv6dbgW3Dhg1t9+7dtmTJEr/77Nixw6pUqeJ6uvv16+d3Hw1Dr1Wrlo0YMSJ2m4aVq7e7atWqLugeM2aMvfPOO7ZixQq78sorT3sM7aPF89dff7nHBQAAAADA1x9//GEXXnihhX3Q/dhjj9mcOXNcwO3vgPfu3Wt169Z1veCzZs2yLFmynLbPsmXLXDI2ZWdVcJ6YmjVrWvHixV3wHZ96wfv06XPadgXr6kUHAAAAzkamw4et/sMPu/W548bZ8ezZg9a2ch89fLLtcePGWfYgtg2kJwcPHrTWrVu7jmMv0XfYBt0dOnSwmTNn2uLFi61kyZKn3a8u+3r16rmAd/bs2Ql+MLRq1cpWr15ta9asSbLNp556ygX4CtST6ulWwF+sWDHX0+6biC1cREVF2fz5891FCX8XI4D0jvcAIh3vAUS6NPkeOHDAsuTP71ajdu0yy5UriE0fsPwn21bOIyUwRtqVJs//dEJxYoECBWKnQIflnG7F+x07drQZM2a44d/+Am49EQXc2bJlcz3cCQXc+/fvt6lTp7oyZMmxdu1aK1q0qN/71JaW+HQSh/OJHO7HBwQa7wFEOt4DiHRp6j3gc5zumIN43L6vUZp6zZAofpfBl9zXO6RBt8qFTZo0yfVyK0nZP//847ara151uxVwq4SYuu3fffddd1uLqGZ3pkyZYh9rypQpruyY5nvHN2TIEBfQlytXzg2n0TDxL774wtX/BgAAAAAgUEIadI8cOdL9r8RnvsaPH+9qbWuouJKdSalSpeLs89tvv9lFF10Ue1slwho1auS3JNjRo0etS5cuLiGahqhXrFjRFixY4MqIAQAAAAAQKCEfXp4YBePJnXK+dOnSBO/r1q2bWwAAAABAiZM/+ugjN+UUCLSEi4kBAAAACIwcOTR0M2bRelCbzuFGjWrRunIiVatWzU33LFSokN15552u5K5n586dLg9T6dKl3f6qAPT444+75FG+MmTIcNry/vvvx9lHeZxUslf5kzSSdcKECUke7//+9z+7/vrrXW4nJTceMGDAaft88MEHVqZMGbdPhQoV7NNPPz3j10e5ojRXN/6xN23a1D2n33//Pc52jb7t2bPnGbeH9I+gGwAAAAi2jBkVrcUsWg9q0xldoKhF64sWLXK5lpYvX+6yYCsbtvIqKcu5/P33324ZOHCgbdiwwQXKc+fOdZWD4tM00a1bt8YuCuA9CvJvvfVWN8VTPcxPPPGEK7f02WefJXisXo6nEiVK2Lfffmuvvvqq66UePXp0nBGv9913nzseVTFSm1p0rGcid+7cVrVqVXeBwJduK+j33a7ntHnzZrvxxhvPqC1EhpAOLwcAAAAQWgqgfSmoVo+3gtwbbrjBypcvb9OmTYu9/5JLLrF+/fq5BMZKZJw586mQQvmVihQp4redUaNGueTGr732mrt9+eWXuxK+gwcPdtWK/HnvvfdcfibVE8+aNatLjKyAfdCgQdamTRu3z9ChQ61+/fquJLC88MIL7uLBsGHDXJvJsWnTJldyq0GDBvbGG2+4CwPTp0+Pvf/77793CZk7derkgm7lnxKtq9f+mmuuSVY7iEz0dAMAAADBdvSomYJELVoPatNHXYCqRevxecPGzz333AQfw6tL7Btwi3rMVbf4qquucoGyb36mZcuWWZ06deLsr2Bb2xOi+xT4K+D2/RkNf1eN8TN93PjD16+77jq7//77XaCuIeQKutWGeuvlyy+/dPuoR9u3p1vbFXAnVNYYEIJuAAAAINiioswGDoxZtB7UpqPcUHEtWvd14sQJN+y7Ro0arofbnx07drjeZK+n2dO3b1+bOnWq62W+++67rV27dq7X2KPywIULF47zM7qtIeSHDh3y21ZCP+Pdl9g+3v2J0dB0JW/u2rWrvfjii7Hb9fwV6HsBtv6vWbOmValSxT1/DSsXDc2nIhKSwvByAAAAALE91ZoLrWHf/ihA1rzssmXLurnVvnyTiVWuXNnNCdccbCVdC0dbtmxxQ8o1VF4XGnypzLCSyynY1nxxBdcaGaCe/WuvvdZtVy++HoOgG0mhpxsAAACAdejQwWbPnu2GTF944YWn3b9v3z43d1pZzmfMmOEyfCfm6quvtj///NOOHDnibmuu97Zt2+Lso9sapq6s6P4k9DPefYntk9Dcck/BggXdMPjJkye7iwnxKZjWa7Fx40bXE6+s66Ieb23XouBczxNIDEE3AAAAEMHUY6uAW4H0F1984ZKdJZRFXEOuZ82alaw5zEp4lj9/fpdoTDT3+fPPP4+zj4aiJ5aETPctXrw4zjB4/YzKl+mxz/RxRYG+LjLouWgOuC4qxA+6f/75Z5s0aZKbz50pUya3XXPM1fOt3m5vGDqQGIJuAAAAIMKHlL/77rsuuFQvtuZCa/HmWXsBt4aLjx071t329jl+/Ljb5+OPP7YxY8a4oem//PKLjRw50l566SVX39vz6KOP2q+//mrdunWzH374wUaMGOHmgD/55JOx+yiR2U033RR7W8nNFNSqHJh6nKdMmeKylXfu3Dl2H2UUVwZ2ZUXX42rY+zfffOMuJCQlV65c9sknn7hh47fccour0e3RMHJdMNC8dPVue9Q7vn37dps5cyZDy5EsBN0AAABABFOArGzkSihWtGjR2EUBrqxevdpWrFhh69evt1KlSsXZ548//nD7aKj58OHDXe9ypUqV7M0333RlvZ5//vnYdtSDrgBXvdBXXHGFC5IVqPuWC1OSMpXv8pxzzjk2b948l7hMScy6dOlivXr1ipPETcGxLhiodrce98MPP7SPPvoowURw/upyz5kzx/X4a766V59cPeDVq1d3PeB6bTwKxL3tBN1IjgzRvnn84Zeu5ukN75VGCDcabvPpp5+6uoJJza0B0iPeA4h0vAcQ6dLke0CBXe7cMevqXc2VK4hNH3CBZkzT+11vL9KuNHn+R1icSE83AAAAEGxKHLZhQ8ySQBKxwDWdww0D15JQArOgmDDBLF++0LUPBAlBNwAAABBsGTOalSsXs2j95ZfNqlUzy5PHrFAhszvvNPvxx1P779xppvnRpUvHBOnFi5upFNeePf4f/7//zJSBPEMGs9274zWd0cqVK2fldu+2jEoCVqlS8o/7l19ijjF+sLxxo9ndd5tddFFMm0OG2FkrWtSsf/+42555JubxT9bPjqXh3w8+ePZtAgFA0A0AAACE2qJFymhmtny5Um9rzLDZzTfHDEOXv/+OWQYOjOkdVy/x3LlmrVr5fzxtr1gx4fYUiDdvbuaTtCxJOqb77jO7/vrT7zt40Ozii2OC5CRKdSWbAun4wfWXX5oVKxZ3++HDMa/bjTemTrtAKiPoBgAAAILt6FGz3r1jFq0rgG7ZMqbn+4orYoLqLVvMvv02Zn8lBZs2zez2280uuSQmwOzXT2nDzY4di/vYI0fGBNVduybQ9FHbcN11tuiCC+z4VVcl/5h79DArU8asSZPT71Mv/auvmjVtqkxjdkb+/desalWzu+4yU21vJSn7+utTz08lvdasMXv66bhB97Jlp/YHwlDmUB8AAAAAEHHUa9ynT8z6U0+Zxa/17A0bP/fchB9D+yh5U2afr/TffWfWt6/ZihVmv/7q98eix42zgxs3mvq4D6r+dHKO94svzD74QMW3zaZPt1SnLOh165pVr242dqyZamIriFaSuVWrVIzb7KuvzC67LGYYuy4oqIdb9cLV+61h7VoQECdOnHBJw3bt2mW7d+92/ye1riR9KsWWJUuWBJek7j/vvPPilIdLqwi6AQAAgHBy4oTZE0+Y1agR08Ptz44dZi+8YOZTOsv19mr4t3qcNefbX9D988+WtVcva2ZmMRW2k0Hzw9UL/+67MUF+KtiyZYsVPXbMXK5tzV1XwK0ebs0F15xtufRSswsuiOnVVtCt/1UvW8PX9fzUw63AXNvp5T5jBw8edPXTVapNi+qs67ZqkXuBtLJzh6LoVfHixQm6AQAAAKQyze3WvO0lS/zfv3ev2a23mpUtGzM83fPss2aXX27WTCG1H8ePm91/vx197jn7WUF9cj3yiPs5u+EGSw0qb3XnnXfae488YvccOhQzR1yP7y/5mjevW89N/2tUgCj41m31jKtXX8cIvxQs79y5Mzag9oJrb9m6dWuyH0vZ7vPly2f58+eP/T+hdZWiO378uB07dsyVNUvu4ru/ynGlBwTdAAAAQLjo0MFs9myzxYtjso/Hp3nN9evHZBCfMcPMty6zhoCvX2/24Ycxt72eyQIFzJ57zuzJJ82++cayrlljUSd/JJMSn2k/DVGfN89/MjI97qxZMUncvMdVb7x+ZvRos4cfTvbT+/LLL+3uu+92NaXvrFw5Zv53nToxz1kBtXq2fakHu1OnmN52zedWsC36/803Yy4EaE48SdRccP3bb7/ZypUrbd26dXECbPVUJ0aB8iWXXBJnKVq0aJxAWkt2DedHihF0AwAAAKGmQFYlwRRIqwe3ZEn/Pdz16sUEqgqC4wdASrSmnmOP5kIrINZcaCVf09Dw9evt0MGDdtXVV7td1rRqZVl0vwJ1f22KhnGrl9wzc6bZK6+YLV16epCciKVLl9rtt99uN9xwg02ZMsWyTJ4cUy7tnXdierq9oeLnn3/qh7RNGdwHDYoZbq5yaqJgWxna58w5NQw9wuzYscNWrVply5Ytc6MHWrdu7bYl5Pzzz48TVJcqVSp2/dzEcgfgrBF0AwAAAOEwpHzSpJiAVr3Y//wTs13Da1WXWwG3SoipNJfmVuu2FilYMCbxmAJrX14ApiHnXl3t8uUt+sAB23hyl2j9rIJ337njw4bFBP+ff37q5319801MsOz7M+ptVhI3b/2vv2KSruXObVaqlK1evdr1blepUsVmzJhh2XwznOvY33svZj66eqwVeHtlx1SGTPO333jD7IEHTv2MyoYpOFdPu34uAuZd6zVUL7a3qFc7PiUfq1SpknudL7vsstigumTJkpYzZ86QHDsIugEAAIDQU5kvbw6zr/HjY5KYrV4dM3dZSpWKu4+Cr9TM3K1gfdOmlP2MaohruLhHQ9G11KxpG4cPt5tvvtlKly5ts2fP9h/8aai6er7vvfdU4O31aqu3e+LE018bDTFXabV0lkRNc5o3btzoAmv1ZOv/DRs2uPnR8ek1rVq1qntNW7Zs6YLtOBc0EBYyRIciDV0ao/T4msSvuRB5UyljY2pSkgENKdHVQ13dAiIN7wFEOt4DiHRp8j2gAEqBtFx5ZUxvb9CaPu56TWOavtIyBbBtzSu+/vrrrVChQm4+N8OY/ddN/+abb2zRokW2cOFC+/rrr+2AhtTHoznWV199tV111VVWrVo1F2xrnnWaPP8jLE6kpxsAAAAINgW61aqFqOlMLmgLtM2bN9tNN93kgpL58+cTcJ905MgR14OtAFuBtua6a/i4rzx58rjfkQJsb7kgAuetpxcE3QAAAABSlcpQ1alTxwX4n3/+uevpjlSHDx+2FStWxPZkK/GZtvkqUKCASzBXs2ZNq1WrlpUvX94yat480gWCbgAAACDYlGxs6NCYdZXEypo1iE0ftaEn2+7UqZNlTeW2lUFbAfehQ4fsq6++irgeWg33Vk+2LjZ88cUXLshW77avggULuuBaQbaWsmXLEmSnYwTdAAAAQLBFRZl16xaz3q5dUINuBYXdTrbdrl27VA26d+/e7ZKmKfBevHixy5qd3ilFlhKfLViwwAXa6tHep3rqPooUKRIbYCvYLlOmjGXIkCFkx4zgIugGAAAAcNb279/vknn9/vvvbhi1MmunV5qv7gXZ6s3etm1bnPs1f/3GG290c9pr167tyncRZEcugm4AAAAAZ0VDyRs2bOhKWykQrVixoqUnu3btckG2F2hvildSLUeOHC5Lu4bVK9BWrWyGi8ND0A0AAABEKPXQXnzxxWc9R7xx48a2fPly++yzz4KSGT3QTpw4YWvWrLE5c+a4Rc9N2zxKEKeM4gqwFWhXr16d+thIEEE3AAAAEKEUJD/22GNn/PPHjh2z+++/3/UAz5492/X2puXe7Hnz5rkge+7cuacNGb/88svdfHUF2pqbnVhdZsAXQTcAAAAQQWbNmhW73qxZszN+HPX8PvzwwzZz5kybNm2a1a1b19ISHf/atWtdkP3pp5+e1pudK1cuF2Brnnr9+vWtRIkSIT1epF0E3QAAAECEUIDZokWL2NtnOu9YGbvbt29v7777rk2ePNnN504Pvdkq3XXLLbe45brrrmPIOFIFQTcAAAAQbNmzm3355an1IFBG8UaNGrle28cff9wyZ85s2c+gbQXcXbt2tVGjRtnYsWPt3nvvtbTQm61FNbPpzUawEXQDAAAAwZYpk1mtWkFrTsHmbbfd5uZcT5069YyCbU/v3r1t0KBB9sYbb7jh5eHYmz1//vzYQJvebIQaQTcAAACQjq1evdoFmFdeeaV99NFHZxVwDxgwwPr27Wv9+/e3Dh06WDhQz7t6szUv28s0fvz48dj76c1GqBF0AwAAAMEWFWU2enTMeps2ZlmyBKSZjRs3uozbpUuXdtnFc+bMaVFRUTb6ZNtt2rSxLMlse/jw4fb0009bz5493f/h0putudn//PNPnPvpzUY4IegGAAAAgu3oUTOvp7hly4AE3T///LOrIX3BBRe44NQrcaW62l4vdcuWLZMVdI8fP979zJNPPml9+vSxUPVm+87N9teb7QXa9GYjnBB0AwAAAOnM5s2bXRCaL18+1yN87rnnnvFjTZkyxVq3bm1t27a11157zTJkyGDBsHv3bnfsGjZObzbSMoJuAAAAIB35+++/XcCtHuwFCxZYoUKFzvixPv74Y1fL+4EHHrARI0YEPOD+8ccfXZtavv76a3qzkS4QdAMAAADpxL///uuGlB85csS++uorN7T8TClgb9y4sd1xxx02bty4M67pnZhjx47ZkiVLYgNtDYn3RW820gOCbgAAACAdUHIxJU3buXOnLV682C666KJk/+yePXvs0UcfdcnSNBRdgbCCbfUsT5o0ydX0Ts1h4xouriBb87N13B71zteuXdtuv/12V+IsJc8BCFcE3QAAAEAat2/fPtcbvGXLFlu4cKFddtllKfr5mTNn2vvvv2+DBw+2b775xpXXuvrqq23atGmWNWvWsz6+TZs2uSB71qxZrgdePdye8847zwXYCrR10SBPnjxn3R4QTgi6AQAAgDTs4MGDLmD9/vvv7fPPP7cKFSqk+DEUdCvI1vD0evXqWfny5V2AnCNHjjM6Js3FVoZxb9i4js3X5Zdfbg0bNnTHXb16dcuUKdMZtQOkBQTdAAAAQLBpbvLs2afWz5Dmbt999922atUqmzdvnlWtWjUZTWdzNbu99cOHD9tnn33manZrPrgSlCljeO7cuVN0LAcOHHDDxhWsf/LJJ/bff//F3qfh6TfccIMLsrVccsklZ/BsgbSJoBsAAAAINs2RvvXWs3oIDdG+77777Msvv3RBbo0aNZLZdGa71adtBdwKmN977z031LtHjx7WuXNnNwz8iy++sGLFiiU6P1sB/PTp013AfejQodj7VK5Mw9QVZNevX9/dBiJR6qcgTIGXX37ZqlWr5uZtqJTBnXfe6coEeJQEomPHjla6dGk3tKV48eL2+OOPu0QPvlS6IP6iOSm+NLflyiuvdFfzSpUqZRMmTAja8wQAAABSk4Zvt2jRwg3d/vDDD13Cs5T8rL4bT5482f2vYFvfn9VrrqRm6jlXwK3HP//880/7eQ1BHzNmjJtDru/wDz74oM2YMcMF3Ep89uSTT7oLAdu3b3eP3bRpUwJuRLSQ9nQvWrTI2rdv7wJvXanr3r27S57w3XffuTp8qjGoZeDAga5cwObNm11WRW3Th4uv8ePHuytoHt839m+//eau5uln9cbXXJfWrVtb0aJF3ZwVAAAAIKiioszeey9m/YEHlLY72T8aHR3tvteqk0mLkpAll3qk1Yn1119/nXaf5lWrRJjqcl911VVxanL/+eefLrDWzysz+okTJ+LMz1ag3qhRI6tUqVLAa3kDaU1Ig24NQfGl3mddLfv222/dnA8lcFDGRI/mfvTr1899EChI9y1doCC7SJEiftsZNWqUlSxZ0l577bXYDwaVQVB2RoJuAAAABN3Ro2YPPRSzfs89yQ66FXA/8cQTrqd54sSJdo9+NpkUMCuo1mP4M3LkSGvSpEmcjOP6GX0fX7FiRZx9NYJUQbYWfbcGkEbmdHvDxlUbMLF98ubNe1qtQPWYq/f64osvdlf+HnroodirbMqcqKQQvhRs6wMrJTTXxV9mRW3Lnj17nP0SkjFjxjhZIFOyrzJT+vuQjIqKcsOBfCW0r+h1yZkzZ+xtDQXyvVoZn0YdnMm+Ssqh4Uupsa+O1/t96rn6lpk4m331+up1lqNHj7rXMjX21fngnSsp2Vf7af+EaHqEd+6nZF+9BvHPEV8qBaK6mCndV78z/e4Sov28MiMp2VfnmO+csKT21ftIj63/vWPz6DXQayF6T+i9kZCU7JuS932oPyP8ve/5jEhfnxHartdIz8V7D/AZkbx9+YxIP58RCf0dCNvPiAMHLFcCv8fEPiN69+5tr7/+ug0ZMsT1Lus1Ss73CO3XqVOnRH+vXbp0cQG0MpmrV3v16tVx9lGWcWUc1+JbP1vt8hkRus8I72+Atqt9PiOC+z0iWaLDxPHjx6NvvfXW6Bo1aiS4z7///htdvHjx6O7du8fZ3rdv3+glS5ZEr169Orp///7R2bJlix46dGjs/Zdeemn0Sy+9FOdnPvnkE50l0QcPHjytncOHD0fv2bMndvnjjz/cvgktt9xyS/TRo0djl5w5cya47w033BBn3wIFCiS4b5UqVeLsW6JEiQT3LVasWPSBAwdi97388ssT3FeP4/u4aiehfXV8vvvq+BPaV8/bd1+9Lom9br77NmrUKNF9d+3aFbvvgw8+mOi+f/31V+y+jz76aKL7/vTTT7H7du7cOdF916xZE7tvjx49Et136dKlsfu+/PLLie47f/782H113ia270cffRS775gxYxLdd9KkSbH7aj2xffVY3r5qI7F9dYzevjr2xPbVc/f21WuS2L56Tb199Vontq9+V96++h0mtq/OAW9fnRuJ7atzy9tX51xi++qc9T2Hw/0zQp8JvvvyGZE+PyOmTZvGZwSfERH5GXHXXXeluc+InPoafnLJGaTPiJQuGTNmjK5du3b0Qw89lOh+fEbELHxGRN73iIcffthtU8yYmLDp6VZP9YYNG9ywb3/27t3r5mVrbreu8Pnq2bNn7HrlypXdFZ1XX33VzVc50wRvffr0Sfb+ShKhsgqexK6iqHSC776J9UKoV99338Sulsn8+fNj1/fv35/gfnoc38eNn5jOl47Pd1/f0g/x6Xn77qvXJTG++/7zzz+J7qusmt4VPs0pSsyCBQvsnHPOcevKA5AYJfkoXLiwW//1118T3VcJRbzH+/nnnxPd9+uvv459/j/88EOi+y5fvjz2KuTGjRsT3febb76JXV+3bl2i+65Zsyb2KqPWE6PH8n4fvm34o2P09l2/fn2i++q5e/sm9Zrpfm/fLVu2JLqvflfevtu2bUt0X/3OvH0TO9e9c8vbN7Gr6d4563sOh/tnhD4TfPflMyJ9fkbove71ePEZwWdEJH1GJPV75jMi5erWreumdOq10PEkhs+IGHxGRN73iC1JnGueDIq8LcQ6dOjghrEoKYPmXse3b98+NxxcXw5UksB3eIU/KpmghBI62TXEQvPDNe9Ew3B8E69peLm/k0DDBHyHCijgV6kEvek0tD3choVpSIk+9PWcveE6DPlIX0NHPQwv97+v3qMqaXLjjTcyvJxhYRH5GaHteg8ok7B3TvAZkX6GjvriM8L/vvquqM4Hf38HwvYzYvduy3fhhe72bn3J93k+8T8j3nrrLZcRXMPDn3/++TiJypL7PUIdWyrdlRTNE9fwcT4j0s5nhPc3QOc/w8uD+z1CmfwvuOCC2CnQCQlpT7d+USoJpjkjKlfgL+DWl2kF3DqBZs2alWTALWvXrrX8+fPHnvTXXHPNaVeS9MGs7f7o57yf9aVkbYm9mL77JVdK9vWuqMSnN5qOVx8g3odYQvv64++PE/uGbl/fD6nU3Nf3QzU1903OezKl+4q/92Bi7yM9tv5P6vX2/sgmR0r2DdT7PjU+I85233B5b7Bvwu97/R3Qe0DvXe/x+Iw4s335jEj5vuHw3lD52eT+HQiH442/r/s9+gQIvqZMmeJqZus7s5IAJ5YZ3N/7XkGBkqHFL6cbnx73wgsvtAceeOC0HEZ8RoT3Z4T3N8Df+c9nRGD3zZ07d7L2yxzqIeWTJk1yvdz6sPS6/fVL1JtVAbdKiOlKyrvvvutua5GCBQu6DwTVJtSwECV20MmmYPqll16yrl27xrajxGrDhg2zbt262cMPP+yuBE2dOtX1iAMAAADhQENrNaxbpXGVHFjBcsuWLV2CYI3YTG4pLj2OOrX0fVffexPr4RPvcdWGv6TBAM5OSINulSWQWrVqxdmuod/6gFHGRK88QalSpeLso9rbypqoKxHDhw93Q27Uc679Bg0aZI888kjsvupBV4CtfYYOHequ4qnMAuXCAAAAEBLqXZ069dS6mRvVqRGbGharUZpNmzZ1JcFGjx4dOzQ9Ibt377aPPvrI9Yxrzqnv8NgqVaq4UmB6LOVw0DB133mr+m6sgFvlvwCkvpAPL0+MgvGk9qlfv75bkqLHSipRDAAAABAUmi8dr8a2Rn9q+uN3333nyoE1aNDA3n777QR7nzVfVz3aCrSVCMp3TvkVV1zhAm0tvp1X6oy64447XGK3rVu3WtGiRe3666+nhxsIoLDJXg4AAABEKk2nnDdvnhtKroRnSgSsYDp+B5SSTCn58IQJE9wwdN9EWeXKlbN7773XBdqlS5dOsC0F2PFHmgIIHIJuAAAAINg0/HvGjJj1u+5yQ8KVuVnZwytWrOh6uZWNetmyZa7MlqZUqtdbi28ps0suucQlP1OgraA7eU0fcz3kMU3fFZulHEBg8A4DAAAAgk3lpJo0iVn/9FObMH68W1VwvWrVKlu5cqULulu1amWtW7e2pUuXxv6oqumoR7tFixZ27bXXJjvBmkclkRSke/WWCbqBwOIdBgAAAATT9Olmjz9+6naDBuYVt1XW8quuuspV9Zk7d66rzCNKpKaqPgq0NSc7uWW5AIQeQTcAAAAQzIC7cWNlFI6zeYKq9ZjZqN9+s1GrV8duL1u2rAu0mzVrZueff34IDhjA2SLoTgklqvCX2VHbsmePu19CVO7B98pkSvbVMCR/2dyjoizTkSNxtyW0r2gIUs6cp24fOqSsHAkfR65cZ7bv4cNmidWFTMm+Ol5v6JSeq08ZjLPaV6+vV4Lj6FH3WqbKvjofvHMlJftqP+2fEJUU8YaApWRfvQbxzxFfWbNqPFvK99XvTL+7hGg/7Z/SfXWO6VxL7r4HDlgmPbbeT96xefQanCzF4t4Tem8kJCX7puR9H+rPCH/vez4j0tdnhP4O6DXSc/HeA3xGJG9fPiPSzWdEgn8HwukzQq9pp05+X9umOl3N7Pldu+zjfPmsSbNmLtiuUqGCZfCOwd/v+0y/RyR1DvEZkXY+I7y/Adqu9vmMCO73iOSIRpL27NmjMyp6T8ypdfrSoEHcH8iZ0/9+WmrWjLtvgQIJ71u1atx9S5RIcN89xYpFHz169NS+Zcsm/Lh6HF9qJ6F9dXy+dPwJ7avn7UuvS0L7xj/1GjdOfN/9+0/t26JF4vtu335q33btEt/3t99O7du1a+L7bthwat/nn09835UrT+07YEDi+3755al9hw1LfN/Zs0/tO3584vtOnXpqX60ntq8ey6M2EttXx+jRsSe2r567R69JYvvqNfXotU5sX/2uPPodJravzgGPzo3E9tW55dE5l9i+Omd9JbZvGHxGuM8EX3xGpMvPiKiPPjq1L58RMfiMiIjPiOONGqWNz4ik3hMnl6g33gjo94j9+/e777Za9ie0L58RMQufEeniMyI6QN8j9rRuHRMn7tkTnZiTl+YAAAAABMq+ffvsswkaRJ60zLt3B/x4AARPhpgLK0jM3r177ZxzzrE9f//tskWG27CwqKgo+2zePKt3110u42Vi+0bkkI/0MHTUw/Byv/tG7d1rn332mdWrV+/UeyAtDQvzxdDRM9s3wj8j3N8BvQcaNrQs3jnBZ0Ty9uUzIl18RkQpoP30U/9/B0L8GbF69WobM2aMvf3BB1b10CFbaMmwYIHZTTcl+rhn8z1Ctb1z587tNu3fts1y+b7u8fZ1+IwI68+I2L8BOv8ZXh7U7xF7//3XzilUyPbs2eM/TjyJOd0poV+cvw8lf/ul5DGTy/fk9RUVZce9N3hS+/qTkuyXKdnX98MhNffVc43/fFNjX334eh/AodpXfwT8fVk42331RyC55UBSsq/+CCT3HE7JvvojkMJ9j+sc0s8k9proAzK5j5uSfSUc9k3J+57PiPT1GaG/A3qNfN+7fEakfF8+I9L0Z0Sy/g4E6TNCZbgmT55so0aNckG3Z2fZsrbv778t95496vnyf15deKFZrVp+HzdJyXzfZ82a1cafLFGWNX/+pH+Gz4jw/ozw/gb4O//5jAj894hkIOgGAAAAUsGGDRtsxIgR9u6777rh5F6Ae88999ijjz5qNWrUsAwzZsRkL1dQ5ht4e71sQ4b4T9ybijQaoGXLlgFtA8ApBN0AAADAGdLQ3pkzZ9rw4cNt4cJTg8cvvfRSa9u2rctAXqBAgVM/0KiR2YcfxmQx//PPU9vVw62AW/cDSFcIugEAAIAU2rZtm7311ltuCPlff/3ltmXKlMnuvPNOe+yxx6x27dqW0ZvvHZ8C61tvNRs0yGzXLrN69WKGlAe4h9tz7NgxNwdYNA84c3KHgwM4I7zDAAAAgGRQ/uHly5e7Xu2pU6e6Xm4pWLCgtWnTxvVsFytWLHkPpkRN3bvHrD//fNACbjly5IjddtttsfPPCbqBwOIdBgAAACTi0KFD9v7779uwYcPiJEarXr26dejQwRo3bmzZkpt4CUDEIegGAAAA/Pj9999t5MiRruTXzp073TYF1/fdd5+1b9/eqlatGupDBJAGEHQDAAAAJ504ccIWLFjghpB//PHHbki5FC9e3Nq1a2etWrWKmxgNAJJA0A0AAICIt2fPHps4caILtn/66afY7XXr1nVDyG+99VaXKA0AUoqgGwAAABFr48aNLtB+++237cCBA25bnjx5XB1r9WyXKVMm1IcIII0j6AYAAEDEDSFXyazBgwfb/PnzY7eXLVvW9Wo3a9bMBd4AkBoIugEAABARDh48aO+8844NGTLEfvjhB7dNtbTvuOMO69ixo9WqVcsyZMgQnIPJmtVs2LBT60GUNWtWl4ndWwcQWATdAAAASNe2bt3qhpCPGjXK/vvvP7dNPdmtW7d2wXbJkiWDf1BZspi1bx/8dl3TWVz2dQDBQdANAACAdGnNmjVuCLlqbEdFRbltF110kT3++OMuC3nevHlDfYgAIgBBNwAAANKN48eP2+zZs12wvWjRotjtNWrUsCeffNINJc+cOQy+Ah8/bvbVVzHr119vFsTM6HqNvjrZ9vXXX09WdiDAwuATBwAAADg7hw4dshEjRtgbb7xhmzZtctsUTDZp0sQF29WqVbOwcviwWe3aMev795vlyhXEpg9b7ZNt79+/33IFsW0gEhF0AwAAIM36448/XGK0N998M7bkV758+axNmzYuE3mxYsVCfYgAIhxBNwAAANKclStXuiHkH3zwgRsuLaVKlbInnnjCWrRoYblz5w71IQKAQ9ANAACANCE6OtrV1X755Zdt4cKFsdtV6uvaa6+1Xr16WbZs2UJ6jAAQX8bTtgAAAABh5MSJEzZt2jQ3L7tevXou4FYytObNm7sM5fPmzbOrrrrK1dwGgHBDTzcAAADCksp8vffee/bKK6/YDz/84LblyJHDzdfu0qVL7HxtrxwYAIQjgm4AAACElYMHD9qYMWNs4MCBLlGalxxNidFUY7tgwYKhPkQASDaCbgAAAISF3bt32/Dhw1028h07drhthQsXdr3abdu2tbx581q6kSWL2YABp9aD2nQWG3Cyba0DCCyCbgAAAITUP//84wJt1dnet2+f21ayZEnr1q2btWzZ0rJnz27pTtasZk89FaKms9pTIWobiEQE3QAAAAiJ3377zV599VUbN26cHTlyxG0rX768Pfvss9akSROXLA0A0jo+yQAAABBUGzdutP79+9vkyZNja2xXr17dunfvbrfeemtkZCHX8169Omb9yivNMmUKYtPHbfXJtq+88krLFMS2gUhE0A0AAICgWL58uauxPWvWrNhtN998s+vZrlmzpmXIkMEixuHDZlddFbO+f79ZrlxBbPqwK7EW0/R+yxXEtoFIRNANAACAgImOjrYFCxa4YPvLL7902xRc33333fbMM89YlSpVQn2IABBQBN0AAABIdSdOnLCPPvrIBdvffPON26Y52g8++KBLkFamTJlQHyIABAVBNwAAAFJNVFSUvffee/bKK6/YDz/84LblyJHDHnnkEVf6q3jx4qE+RAAIKoJuAAAAnLWDBw/a2LFjbeDAgbZlyxa37ZxzzrGOHTva448/bgULFgz1IQJASBB0AwAA4Izt3r3b1ddWne1///3XbStcuLB17tzZHn30UcubN2+oDxEAQoqgGwAAACm2bds2F2gr4N67d6/bdtFFF7n52g899JBlz5491IcIAGGBoBsAAADJ9vfff9urr75qb775ph06dMhtK1++vMtEfu+997pkaUiGLFnMnn/+1HpQm85iz59sW+sAAotPRQAAACTpzz//dMnR3nrrLTty5IjbplrPzz33nN12222WMWPGUB9i2pI1q1nv3iFqOqv1DlHbQCQi6AYAAECCfv/9d+vfv7+NHz/ejh496rbVqFHDevXqZXXr1nU1twEACSPoBgAAwGk2bdrkamxPnDjRjh075rbVqlXLBdv6n2D7LJ04Yfb99zHrl19uFsSRAqqh/v3Jti+//HJGKQABRtANAACAWD/99JP169fP1do+fvy421anTh3r2bOn3XDDDaE+vPRD8+HLl49Z37/fLFeuIDZ9yM3Dj2l6v+UKYttAJArpZS1dPa1WrZrlyZPHChUqZHfeeaf9+OOPsffv3LnT1XYsXbq05ciRw4oXL+7qPO7Zsyd2n3Xr1tl9991nxYoVc/voat3QoUPjtLNw4UJ3NTb+8s8//wT1+QIAAISr7777zh544AH3Xertt992Afctt9xiS5cutfnz5xNwA0Ba7OletGiRtW/f3gXeGrbUvXt3u/nmm92Hvq64KTumloEDB1rZsmVt8+bNrt6jtn344YfuMb799lsXsL/77rsu8NYfhjZt2limTJmsQ4cOcdpTQO9bK1I/BwAAEMn+97//2Ysvvui+W0VHR7ttt99+u+vZ1nc0AEAaDrrnzp0b5/aECRNcIKxAWldTNexl2rRpsfdfcsklbrhTs2bNXJCukhQPP/xwnMe4+OKLbdmyZTZ9+vTTgm49dr58+QL8rAAAAMLfmjVr7IUXXrAZM2bEbmvUqJH16NHDKleuHNJjA4D0JKzmdHvDxs8999xE91FvdWI1ILWPv8eoVKmSK3GhYF5lEpR50x/t45XCkL1797r/o6Ki3BJuvGMKx2MDgoH3ACId7wGkhKbmKdieNWuWu60pd3fffbc9++yzVqFChTR5LqXJ90BUlHkVst1xB/HYfV+ncP1+i3R+/qcTyX3NM0R744hCTFkUGzZsaLt377YlS5b43WfHjh1WpUoV19OtHm9/NLy8Zs2a9sknn7ih6t6wcs3rrlq1qgumx4wZY++8846tWLHCrrzyytMeQwF5nz59Tts+adIky5kz51k/VwAAgGDTNL0pU6a470pesH399dfbPffc46boIbgyHT5stzVt6tZnv/++Hc+ePWhtHz582JqebPv999+37EFsG0hPDh48aPfff39sx3DYB92PPfaYzZkzxwXcF1544Wn3q7dZtSDVg60rs1myeNcGT9mwYYPVrl3bOnXq5IZGJUaBuRKzKfhOTk+3/hgp6E/sxQzlFRYlONHr4+91AdI73gOIdLwHkJgffvjBzdn+4IMP3JxtBdsKtJ977jmXNC09SJPvgQMHLEv+/G41ateuoGYvP3DggOU/2fauXbvIXp7GpcnzP51QnFigQIEkg+6wGF6uudezZ8+2xYsX+w249+3bZ/Xr13dZzjXvyN/JpORrN910k0uillTALVdddVWCPerZsmVzS3xqN5xP5HA/PiDQeA8g0vEegK+ff/7Z+vbt60bqaUShNG7c2J5//vnYclHpTZp6D2j0ZNeubjWL1oN43Bq52fVk21pPM68Z0s/5n04k9/UOadCtq60qCaZAWsO/S5Ys6ffqQb169VwQrB5uf8NfNm7caDfeeKO1aNEiwWHn8a1du9aKFi2aKs8DAAAgXPz6669uzrbKfnnBtsqyavrcFVdcEerDgydrVrNXXw1R01nt1RC1DUSikAbdKhemq68zZ850vdhe3exzzjnH1dxWwK152Rorr5Jguu0lNStYsKArC6Yh5Qq4FZh37tw59jF0n/aRIUOGuIC+XLlybg6L5nR/8cUXNm/evBA+ewAAgNSds61h5OPHj3c1tuW2225zwbZy4gAAIjDoHjlypPu/Vq1acbbrj0XLli1t9erVLtmZlCpVKs4+v/32m1100UWupuS///7rgnItnhIlStjvv//u1o8ePWpdunSxv/76yw2hqVixoi1YsMDN/wYAAEjLtm7d6kb6jR49OjaTrqblKSmsptMhTGkUwpYtMevFi5tlzBjEpk/YlpNtK8dRxiC2DUSikA8vT4yC8aT20dVbLYnp1q2bWwAAANKL//77z1555RUbNmyYHTp0yG1TfhvN47722mtDfXhIin5n3tTK/fuDmkhN54s3rXP//v0kUgMCLCwSqQEAACB5NNVu8ODB9tprr7lks3LNNde43m5G8QFA+CHoBgAASAOU42b48OGud1u93FKpUiU3j7tBgwauFBgAIPwQdAMAAIQx5aZ56623XE+25m9LmTJl3DDyu+++m/m4ABDmCLoBAADC0LFjx1ySWCVE85LDKoms6mw3a9bMMmfmaxwApAV8WgMAAIQRZZZWdZZevXrZjz/+6LYVLVrUevToYa1bt3Y1lgEAaQdBNwAAQBhQxZZPPvnEBdfr1q1z28477zx75plnrF27dq7sKQAg7SHoBgAACLHFixe74HrZsmXudp48eaxr1672xBNPWN68eUN9eAgETQ9o1+7UelCbzuwu5HjrAAKLdxkAAECIrF+/3p599lnXwy05cuSwjh07Wrdu3VwvN9KxbNnMhg8PUdPZXCZ8AMFB0A0AABBkmzdvdgnR3n77bTesPFOmTNamTRvr2bOnm78NAEg/CLoBAACCRPW1X3rpJRs2bJgrBSb33HOPq7V92WWXhfrwEEzR0WY7dsSsFyhgFsQ667rQs+Nk2wUKFKDGOxBgBN0AAAABduDAARs6dKi98sortnfvXretdu3a7na1atVCfXgIhYMHzQoVilnfv98sV64gNn3QCp1se//+/ZYriG0DkYigGwAAIIC1tseNG2e9e/e2rVu3um2VKlWy/v37280330wPIwBEAIJuAACAAAzfnT59unXv3t1++uknt61kyZJuGHnTpk0tY8aMoT5EAECQEHQDAACkooULF9rTTz9tK1eujJ0z26tXL2vbtq1lzZo11IcHAAgygm4AAIBUsG7dOlf+a86cOe625sl26dLFLdTaBoDIRdANAABwFn7//XdX6uu9995zw8ozZ87serW1rXDhwqE+PABAiBF0AwAAnAGVXOrXr5+NGDEitvyX5mu/8MILVqpUqVAfHgAgTBB0AwAApLD81+DBg23AgAG2b98+t+2mm25y5b+qVKkS6sNDWpE5s1mLFqfWg9p0Zmtxsm2tAwgs3mUAAADJEBUVZWPHjrU+ffrYP//847ZVrlzZBdt169YN9eEhrcmWzWzChBA1nc0mhKhtIBIRdAMAACRC87Q//PBDe+655+znn3922y6++GI3tLxJkyaU/wIAJIqgGwAAIAFffPGFPfPMM7Zq1Sp3u2DBgq78V5s2bSj/hbMTHW128GDMes6cZhkyBLHpaDt4su2cOXNahiC2DUQigm4AAIB41q5d64Ltzz77zN3OnTu3de3a1Tp37mx58uQJ9eEhPVDQmzt3zPr+/aoxF8SmD7pzOqbp/a68HYDAIegGAAA46ddff3WlviZNmuRuZ8mSxR599FHr0aOHFSpUKNSHBwBIgwi6AQBAxPv333/txRdftJEjR7qEaXLfffe58l+XXHJJqA8PAJCGEXQDAICIpaG1gwYNsldffdWty80332wvv/yyXXnllaE+PABAOkDQDQAAIs7Ro0ftrbfesr59+9r27dvdNtXY7t+/v9WpUyfUhwcASEcIugEAQMQ4ceKEffDBB67816ZNm9w2DR9/6aWXrHHjxpT/AgCkOoJuAAAQET7//HN7+umn7dtvv3W3Cxcu7Mp/PfLIIy5hGgAAgUDQDQAA0rXVq1e78l/z5893t1UqqVu3bvbkk0/Glk0Cgi5TJrPGjU+tB7XpTG5kh7cOILAIugEAQLqk4eMq/zV58mR3W73Z7dq1c0PLCxYsGOrDQ6TLnt3sgw9C1HR2N80CQHAQdAMAgHRFidFU6mvUqFF27Ngxy5Ahg91///1uW8mSJUN9eACACEPQDQAA0oV9+/bZa6+95hav/Ff9+vVd+a9KlSqF+vAAABGKFJ0AACDNl/8aNmyYy0Lep08fF3BXrVrVJU6bM2cOATfC04EDZhkyxCxaD2rTB9wIEC1aBxBY9HQDAIA0KTo62s1LffbZZ+3XX3912y699FLr16+fSxKlgAIAgFAj6AYAAGnOokWL7KmnnrJVq1bFlv/q3bu3tWrVivJfAICwQtANAADSjI0bN7ryX7Nnz3a3VfJLwXfnzp0p/wUACEsE3QAAIOz99ddf9vzzz9v48ePtxIkTrrZw27ZtrVevXq6XGwCAcEXQDQAAwtbevXttwIABNmjQIDt06JDb1qhRI3vppZesdOnSoT48AACSRNANAADCMiP56NGjXTbyHTt2uG01atRwAfi1114b6sMDACDZCLoBAEBYZST/8MMPrXv37vbLL7+4bZdddpm98sordscdd5CRHOlHpkxmDRqcWg9q05mswcm2tQ4gsAi6AQBAWFi8eLF169bNVqxY4W6TkRzpWvbsZp98EqKms9snIWobiEQE3QAAIKS+//57l5F81qxZ7nauXLlcRvIuXbqQkRwAkOYRdAMAgJD4+++/XU/22LFjYzOSP/LIIy5LeZEiRUJ9eAAApIqMqfMwAAAAyc9I3rNnT7v00kvtrbfecgH3XXfd5Wpwjxw5koAbkeHAAQ3riFm0HtSmD7gRJVq0DiCw6OkGAABBERUVFZuR/N9//3XbrrnmGnv11VddZnIg4hw8GMKmQ9c2EGkIugEAQMAzkk+bNs1lJP/5559jM5K//PLLroebjOQAgPQspMPL9ce2WrVqlidPHitUqJDdeeed9uOPP8bev3PnTuvYsaOVLl3acuTIYcWLF7fHH3/c9uzZE+dxtmzZYrfeeqvlzJnTPY6Srxw7dizOPgsXLrQrr7zSsmXLZqVKlbIJEyYE7XkCABCpvvrqK1dX+5577nEBt/5OjxgxwjZs2GCNGjUi4AYApHshDboXLVpk7du3t+XLl9v8+fPdsLObb745dm6JEqxoGThwoPvjrEB57ty5rnSI5/jx4y7gPnr0qC1dutQmTpzo9uvVq1fsPr/99pvbp3bt2rZ27Vp74oknrHXr1vbZZ5+F5HkDABAJGcl1Mf2GG25wf+d1YVwJ0lR7+7HHHqMEGAAgYoR0eLkCaF8KlnUF/Ntvv3V/pMuXL++Go3kuueQS69evnzVr1sz1ZGfOnNnmzZtn3333nS1YsMDV86xUqZK98MIL9vTTT7uMqFmzZrVRo0ZZyZIl7bXXXnOPc/nll9uSJUts8ODBVq9evaA/bwAA0qsdO3a4C9+au60L48pIrgvdCriLFi0a6sMDACCys5d7w8bPPffcRPfJmzevC7hl2bJlVqFCBRdwexRIKzOqsqB6+9SpUyfO42gfbQcAAGdPo9XeeOMNl5FcGcgVcKunWyPVdPGbgBsAEKnCJpGayoVo2Leyl6qHO6Gr5+rFbtOmTey2f/75J07ALd5t3ZfYPgrMDx065OaL+zpy5IhbPNrP+0KhJdx4xxSOxwYEA+8BRLpQvwc+//xz69y5sxtSLhUrVrRBgwa5UWuhPC5EjlC/B86IRoKcfI/oIpUF8djVnvf+1Hqaet2QPs7/dCK5r3nYBN2a262r4Rr27Y8CX83LLlu2rBs2HugEbypnEp+GsmtOWrjSvHggkvEeQKQL9ntAF7XHjx9vK1ascLeVGFVTwDS6bP/+/fbpp58G9XiANPd3oHPnmP+//DIETce0/WUI2kZgpLnzPx1Ibum9sAi6O3ToYLNnz7bFixfbhRdeeNr9+/bts/r167s/5jNmzIiTfKVIkSK2cuXKOPtv27Yt9j7vf2+b7z4aph6/l1ueffbZ2A8iL+AvVqyYS/KmnwnHKyx6k9WtW5fENIhIvAcQ6YL9HlBA3b9/fxsyZIhLZKp520qO1rNnT8ufP3/A2wfi4+8AIhnnf+h4I6LDOuhW3U6VBFMgrZJeSnbm74lo/rVKfc2aNcuyZ88e5/5rrrnGJVfbvn27S8ImOukUHKtX3Nsn/tV27aPt/qgtLfHpJA7nEzncjw8INN4DiHSBfg9oKth7773nkpVu3brVbVOvtoLvcuXKBaxdILn4O4BIxvkffMl9vTOGekj5u+++a5MmTXK92BqmpkXzrL2A2yshNnbsWHfb28fNfTFz9yu4fvDBB23dunWuDFiPHj3cY3uB86OPPmq//vqrdevWzX744QdXH3Tq1Kn25JNPhvLpAwCQZqxatcrlXWnevLkLuC+++GL76KOP3NQrAm7gDKhEbsGCMcvJcrnBa/qAFSxY0C1eqV4AgRPSnm5lN5VatWrF2a75YS1btrTVq1fHzhMrVapUnH1Ue/uiiy5yQ9o0NF3D2tRznStXLmvRooX17ds3dl/1oH/yyScuyB46dKgbwj5mzBjKhQEAkARd6O7evbv72yz6O6uL2/qb6m9UGIAU2LEjhE2Hrm0g0oR8eHliFIwntY+UKFEiyWQteqw1a9ak+BgBAIhEmqutC9WqGqLcKqJebiUbPf/880N9eAAApBlhkUgNAACEB13s1ugwJRT9+eef3bZq1arZ66+/btWrVw/14QEAkOaEdE43AAAIH8p70qBBA7v99ttdwF24cGE3rHz58uUE3AAAnCGCbgAAItyePXtcz3aFChVs7ty5Lhurko/+9NNPLsdKxox8XQAA4EwxvBwAgAilSiDqyVaitH///ddtUy/3a6+9ZpdeemmoDw8AgHSBoBsAgAi0ZMkS69Spk6sUImXKlHH1tqnsAQSJRpBUrXpqPahNZ7SqJ9tmJAsQRkG3ynDddNNNLgt48eLFA3tUAAAgIP744w97+umnbfLkye72OeecY71797b27du7YeUAgiRHDrNVq0LUdA5bFaK2gUiU7KB78+bN1rZtW1dCRPWxa9eu7ZYbb7zRihYtGtijBAAAZ+XQoUM2cOBA69+/vx08eNAyZMhgrVu3thdffNEKFSoU6sMDACDdSnbQvXDhQjty5IgtXbrUrWt59913LSoqys378gLwe+65J7BHDAAAUlQCbPr06da1a1f7/fff3bbrrrvOlQCrXLlyqA8PAIB0L0VzurNlyxbbwy2HDx92QficOXNs9OjRbiHoBgAgPPzvf/+zJ554wr788kt3u1ixYvbqq69akyZNXE83gBA6eNCsbNmY9e++M8uZM4hNH7SyJ9v+7rvvLGcQ2wYi0RklUtMQ82XLlrnebv0hX7FihZ1//vl29913p/4RAgCAFPnvv/+sV69eNmrUKDtx4oRlz57dlQDTXG6+XANhIjpa8zdPrQe16Wg3ddRbBxAmQffixYvjBNlKplazZk1r06aNG2Z+4YUXBvZIAQBAkiXA3nrrLevRo4ft2rXLbdMItAEDBrh8LAAAIIyDbi9rua6Sv//++1a4cOHAHhkAAEi2H3/80fr06WNr1qxxtytWrGhDhw51f78BAEDoJLswn4alFSlSxM0Nq1u3rnXs2NGmTZtmO3bsCOwRAgCABOnv8KOPPuouiivgzpcvnw0bNsy+/fZbAm4AANJST7dKjMj+/fvtq6++ckPNNVztvvvus8suu8wNNVeCtcaNGwfyeAEAwMmh5GPHjrVnn33Wdu7c6bY1b97cJUqjBBgAAGk4kVru3LntlltucYvoD/2gQYPsjTfecAlb9CUAAAAEzjfffGPt2rWzVatWudsVKlSw+++/37p06WJZsmQJ9eEBAICzCbqVBVV/5L1a3V9//bXr/dZ870aNGqX04QAAQDLpQvdzzz1nb775pss4nDdvXnvhhRfskUcesXnz5oX68ACkhMr2eSXDglzCTyUDvZJhlA8Ewijo1lByL8jet2+fXXDBBW6u2JAhQ9yw8pIlSwb2SAEAiFC64D1+/Hg3b1vlwKRZs2ZuKLnyrURFRYX6EAGklMr3bdwYoqZz2sYQtQ1EomQH3QquFWQPHDjQBdmlSpUK7JEBAACXHE1DyZcvX+5ulytXzkaMGGE33HBDqA8NAACkZtD9999/u/91NT2h+WLKoFqgQIHkPiQAAEjA7t27rWfPni7AVk+3cqqoJJiqhzBvGwCAdFgyzNO0aVM3jyy+bdu2UZoEAICzpL+xEydOtNKlS7vSXwq49bdXdbg7d+5MwA2kFwcPauhKzKL1oDZ90I2a0aJ1AGEWdG/ZssVat24dZ9s///zjAu4yZcqk5rEBABBR/ve//7lh4y1btrTt27e7v6uff/65TZ482c4///xQHx6A1KROrO++i1n8dGgFtulo++6779zirzMNQIiD7k8//dSWLl3qrrZ7w85Vo1vlSqZOnZrKhwcAQPqnKiD6u3rllVfakiVLXJKjV155xdatW2c33nhjqA8PAAAEs2RYwYIFXVmS6667zt2ePXu2+5Lw3nvvWcaMKY7hAQCIaHPmzLHHHnvMNm/e7G43btzYBg0aZMWKFQv1oQEAgFAE3aIvAvPnz7frr7/e6tata++88w41/gAASAENH3/yySdt0qRJ7naJEiVs1KhRVr9+/VAfGgAACHbQnT9/fr9BtRIvfPzxx3beeefFbtu5c2dqHh8AAOmK5k++/fbbbji5/mZqlNgTTzxhffv2tVy5coX68AAAQCiCbtXoBgAAZ2fTpk326KOP2oIFC9ztK664wsaMGWNVq1YN9aEBAIBQBt0tWrQIVPsAAKR7x44ds8GDB9vzzz9vhw4dsuzZs1vv3r0pAQZEMo0iLVHi1HpQm87gprR46wDCcE43AABIntWrV7tSm2vWrHG3lY38zTfftFKlSoX60ACEUs6cZr//HqKmc9rvIWobiESkGwcAIACU9+Spp56yatWquYBb+VHGjRvnhpYTcAMAEDno6QYAIJWpwkfbtm3tt99+c7ebNm3q8qMULlw41IcGAACCjJ5uAABSyY4dO6x58+Z28803u4BbJTZnz55tkydPJuAGENehQ2bVqsUsWg9q04fcKBwtWgcQWPR0AwCQCmXAVG9bpb8UeCsxUceOHe3FF1+0PHnyhPrwAISjEyfMvvnm1HpQmz5h35xsW+sA0lBP98MPP2zvvPNOaj4kAABhTcmIbrnlFmvWrJkLuCtUqGDLli2zoUOHEnADAIDUDbp//fVX69mzp1WqVCk1HxYAgLAsAzZo0CArV66cffbZZ5YtWzbr16+fffvtt3b11VeH+vAAAEB6HF6+cOFC9/93332Xmg8LAEBYWbt2rSsDpgBbatasaaNHj7bLLrss1IcGAADSck93VFSUG0LuZWNNSNmyZc/2uAAACDtKOPTMM89Y1apVXcCdL18+e+utt+yLL74g4AYAAGcfdGfJksWmTZuWkh8BACBd+Pzzz9187VdeecWOHz9u99xzj33//feuxztjRoqBAAAA/1L8LeHOO++0jz76KKU/BgBAmrRz5043yqtOnTq2adMmu+CCC2zmzJk2depUK1KkSKgPD0BaVqBAzBKSpgu4BUAYzum+9NJLrW/fvvb1119blSpVLFeuXHHuf/zxx1Pz+AAACFkZsClTplinTp1s+/btrgxYu3bt7KWXXrK8efOG+vAApHX6Dv3vvyFqOpf9G6K2gUiU4qB77Nixbg6b5rJ5CWQ8+kJC0A0ASOu2bNlijz32mH366aexuUo0d/vaa68N9aEBAID0HnQnlUQNAIC0SnO1hw0bZs8995wdOHDAsmbN6taVPE3rAAAAQSsZdvToUReAX3LJJZY5c6pWHgMAIOjWr1/vkqKtXLnS3b7uuutcGbDLL7881IcGID06dMjsllti1ufMMcuRI4hNH7JbTrY9Z84cyxHEtoFIlOJEagcPHrRWrVpZzpw5rVy5cm4InnTs2NH69+8fiGMEACBgDh8+7Hqzr7zyShdwa772qFGjbNGiRQTcAALnxAmzRYtiFq0HtekT7jNOi9YBhFnQ/eyzz9q6dets4cKFlj179tjtyuqqhDMAAKQV+ltWsWJFlxzt2LFjdtddd9l3331nbdu2pQwYAABIFSkeF65yYQquq1ev7hKnedTrrVIqAACEu127dlm3bt1szJgx7nbRokVt+PDhLugGAABITSm+jK/yAoUKFTptuxLO+AbhAACEYxmwDz74wA0b9wLuRx991L7//nsCbgAAEB5Bd9WqVe2TTz6Jve0F2vrycs0116Tu0QEAkEr+/PNPu+OOO6xJkya2bds2K1OmjC1evNhGjhxp55xzTqgPDwAApFMpDro176179+6ufqnmvw0dOtRuvvlmGz9+vPXr1y9Fj/Xyyy9btWrVLE+ePK73/M4777Qff/wxzj7KHFurVi2X2EYB/u7du0+bj6ft/pZVq1a5fX7//Xe/9y9fvjylTx8AkMYoSZCGjqvW9scff2xZsmSxXr162dq1a+36668P9eEBAIB0LsVBt0qo6IuKAu4KFSrYvHnzXMC8bNkyq1KlSooeSxkT27dv74Lf+fPnW1RUlAvgNVTdN1t6/fr1XaDvz7XXXmtbt26Ns6jkS8mSJV2vvK8FCxbE2S+lxwsASFs2btzo/m516NDB9u3b50ZkrVmzxvr06WPZsmUL9eEBiHQ5c8YsIWk6p1sABN4ZFdhWbe633nrrrBufO3dunNsTJkxwAfy3335rN9xwg9v2xBNPxPZo+5M1a1YrUqRI7G0F7jNnznQlzOLPMT/vvPPi7AsASJ+OHDniRmZpRJX+LmhElcpaav42WckBhIVcuZQUKURN54rTyQUgzILu5s2bW+3ata1mzZp28cUXp+rB7Nmzx/1/7rnnnvFjzJo1y/777z976KGHTruvYcOGrh7rZZdd5rLW6nZCX9a0ePbu3ev+1xc3LeHGO6ZwPDYgGHgPwJdqbT/yyCMuOZrcdttt9vrrr9uFF15ox48fd0t6w3sAkY73ACIZ53/oJPc1zxCtVK4poKHbSjzzyy+/2AUXXOCCb8251v+XXnrpWc25UxCsOdtLliw57X71dCvYV5mXfPnyJfg4DRo0cP9/+umnsdt27Nhhb7/9ttWoUcP1cEybNs0GDBjgyp/5C7x79+7thh7GN2nSJIbhAECY0sXS9957z2bPnu3+puhvhYJvTUOiugYAAEhtmgp9//33u85j5SBLtaDb89dff7ngW/Oytfz000+uzqmyw54JJWabM2eOC7jVG3EmQbfaLlGihE2dOtXuvvvuJHvsf/vtN/vqq6+S1dNdrFgxF7wn9mKG8gqL5sTXrVvXJQgCIg3vAejvkIaOb9q0yd1u1qyZDRw48KxGTqUlvAcQ6dLke+DwYct0771u9fiUKWbZswex6cN278m2p0yZYtmD2DZSX5o8/9MJxYkFChRIMug+ozndkj9/fjdHWv8rCM6cObMVLFjwjB5LCW7UM6Eg3l/AnVzKoK5jSmjYuK+rr77anZz+KLmOvwQ7OonD+UQO9+MDAo33QGT+sXv66adt1KhR7rb+hrz55puxo54iDe8BRLo09R44etRszhy36nJNBPG4jx496jq7vLbTzGuG9HP+pxPJfb1TnE1GWcQ1VE/B7TPPPOOulOn/f/75x2WETQl1sivgnjFjhn3xxRcu4/iZ0mMp6FYPdnKevDKwq2ceAJA26Qtj+fLlYwPutm3bumzlkRpwAwCA8JTinm5lf1WP9vPPP2+NGjVyScnOlMqFaZ60so0rs6wCdznnnHMsR44cbl3btGgOuaxfv97tW7x48TjDBhW0a7i45pzHN3HiRJflvHLlyu729OnTbdy4cTZmzJgzPnYAQGjs3LnTOnfu7D7bRUk99XmuKUgAAABpPuhWb7bmzmmO9WuvveaCWS+ZmpaUBOEjR450/+vnfKnHumXLlm5dPRi+Sc28UmK++8jYsWNdD3yZMmX8tvXCCy/Y5s2b3TB47aP5K40bN07hswcAhJIumrZr1862bdvmkqOprKQ+31X+BgAAIF0E3VdccYVbHn/8cXd73bp1NnjwYNdrrWyxKSnFkpwcbsokriUp6jFPSIsWLdwCAEibFGR37NjRPvjgA3f78ssvdxdbr7nmmlAfGgAAQOoG3QqU1dutnm4tyjauRDYVK1Z0Pd4AAKQW/c1RGbBOnTq5YeWZMmVyeUR69OhBtl0AAJA+g27No96/f7/r7VaQrRqo119/faK1swEAOJPSlCoDpuoWUqlSJZePw8vPAQAAkC6D7nfffdcF2eFYrxoAkD56t9955x3Xu717926XO6RXr17WrVs3SqEASD+UiyIZUy0D03SuZE3zBBCioPvWW2+NXf/zzz/d/2dTWxsAAM/WrVtd6a+PP/7Y3a5WrZpNmDDBypYtG+pDAwAAOCMprtOtZGl9+/Z1Zb1KlCjhFg0tV/ZY3QcAwJnO3S5XrpwLuNW7/fLLL9vSpUsJuAEAQGT1dD/33HMuY6zqddeoUcNtUzI1ZRg/fPiw9evXLxDHCQBIx5nJNXf7o48+crerVKnierfLly8f6kMDgMA5fNjswQdj1t95xyyIySH1nf3Bk21rOg+JKYEwC7onTpxoY8aMsYYNG8ZuU+byCy64wNVOJegGACS3d3vKlCnWoUMH+++//9x8bc3dfvrpp5m7DSD9U5ndDz+MWZ8wIchNH7cPT7ati5wAwizoVsmWMmXKnLZd23QfAABJ2b59u7tQO23atNjM5Lqoq4u4AAAAET2nW6XChg0bdtp2bdN9AAAk5oMPPnBztxVwZ86c2fr06WMrV64k4AYAAOlSinu6BwwY4DKYL1iwwK655hq3bdmyZfbHH3/Yp59+GohjBACkAzt27LD27dvb1KlT3W0F2erdVi83AABAepXinu6aNWvaTz/9ZHfddZern6qlUaNG9uOPP7r63QAAxDd9+nTXu62AO1OmTNazZ09btWoVATcAAEj3UtzTLeeffz4J0wAASVKCtI4dO9rkyZPdbWUkV9IeZSgHAACIBGcUdO/atcuVDfv+++/dbdVQfeihh+zcc89N7eMDAKRRs2bNsjZt2riSYBkzZrRnnnnGZSfPli1bqA8NAAAgfIeXL1682C666CJ7/fXXXfCtReslS5Z09wEAItvevXvt4YcftjvuuMMF3Lowu3z5cjdCioAbAE7KmdNs//6YRetBbTqn7d+/3y1aBxBmPd1KgnPvvffayJEj3bw8r9afSr/ovvXr1wfiOAEAacDChQutZcuWtnnzZsuQIYN17drV+vbta9mzZw/1oQFAeMmQwSxXrhA1ncFyhahtIBKluKf7l19+sS5dusQG3KL1zp07u/sAAJHn0KFD7u9A7dq1XcCt0U+LFi1yFS8IuAEAQCRLcdB95ZVXxs7l9qVt1OkGgMjzzTffuMRogwcPdrc1j3vdunVUtACAxBw5YtayZcyi9aA2fcSNStKidQBhNrz88ccft06dOrle7erVq7ttmqs3fPhw69+/v/3vf/+L3Vc1WAEA6VNUVJS99NJL9sILL7hpRkWKFHFJNhs0aBDqQwOA8HfsmNnEiTHrw4ebBTHnxbFjx2ziybb1HZ58G0CYBd333Xef+79bt25+79MckejoaPe/voQBANKfH374wR588EHXyy333HOPy/Vx3nnnhfrQAAAA0nbQ/dtvvwXmSAAAYe/EiRP2xhtvuPJfhw8ftnz58tmIESOsadOm7mIrAAAAzjLoLlGiREp/BACQDmzZssXN//vyyy/d7Xr16rnh5BdccEGoDw0AACD9JFIDAEQWTRnS3L8KFSq4gFs1XTWUfM6cOQTcAAAAqd3TDQCIHNu3b7e2bdvaRx995G5fc8019vbbb1upUqVCfWgAAABpAj3dAAC/Zs6caeXLl3cBd5YsWezll1+2r776ioAbAAAgBejpBgDEsWfPHnviiSdswoQJ7raGlb/zzjt2xRVXhPrQACD9yJlTw4lOrQe16ZxuJJO3DiCwCLoBALE0Z1vJ0pQ0TdnIVR6yT58+1HAFgNSmig8FC4ao6QxWMERtA5EoxUF3/vz5/ZaF0bbs2bO7YYf6wvbQQw+l1jECAAJM5b+6d+9ugwcPdrcvvvhilzztuuuuC/WhAQAARFbQ3atXL+vXr5/dcsstdtVVV7ltK1eutLlz51r79u1dHe/HHnvMjh07Zo888kggjhkAkIo2bNhg999/v61fv97dbtOmjb322muWO3fuUB8aAKRfR46Yde4csz5okFkQRxQdOXLEOp9se9CgQYxmAsIt6F6yZIm9+OKL9uijj8bZ/uabb9q8efNs2rRpVrFiRXv99dcJugEgzEuBvfHGG24Iub6AaajhuHHj7Lbbbgv1oQFA+nfsmNmIETHrAwYENehW59iIk20PGDCAoBsIt+zln332mdWpU+e07TfddJO7Txo0aGC//vpr6hwhACDVbd261Y1Y6tSpkwu49bmtnm4CbgAAgBAH3eeee659/PHHp23XNt0nBw4csDx58qTOEQIAUr0UmEYk6UKpcnEMGzbMZs+ebYULFw71oQEAAKQ7KR5e3rNnTzdnWxluvTndq1atsk8//dRGjRrlbs+fP99q1qyZ+kcLADhjuiCqOXyjR492tytVqmTvvfeelS1bNtSHBgAAkG6lOOjWPG19QVPPyPTp09220qVL26JFi+zaa691t7t06ZL6RwoAOGPffPONPfDAA/bTTz+5ahP6nFZ+DubxAQAAhGGd7ho1argFABDejh8/7pLkqPKEEudccMEF9vbbb9uNN94Y6kMDAACICGcUdJ84ccJ++eUX2759u1v3dcMNN6TWsQEAzsLmzZutefPmtnjxYnf7nnvucdOAvPwbAAAACMOge/ny5a6eq77MqdyMLw1ZVK8KACC0Jk+e7PJv7Nmzx9Xb1pQgBeD6nAYAhIEcOcx+++3UelCbzmG/nWxb6wDCLOhWfe6qVavaJ598YkWLFuULHACEEQXZ7du3dwnSpHr16vbuu+/aJZdcEupDAwD4ypjR7KKLQtR0RrsoRG0DkSjFQffPP/9sH374oZUqVSowRwQAOCNfffWVPfjgg24kkr5QqdpEjx49LHPmM5pJBAAAgFDU6b766qvdfG4AQHiIiopywXWtWrVcwF2yZElbsmSJ9e7dm4AbAMLV0aNmTz0Vs2g9qE0ftaeeesotWgcQWCn+NtaxY0dXauaff/6xChUqWJYsWeLcX7FixdQ8PgBAEqOPVAps1apV7naLFi3s9ddft7x584b60AAAiYmKMhs4MGa9d2+zrFmD2HSUDTzZti7QZg1i20AkSnHQfffdd7v/H3744dhtmtetpGokUgOA4NBn7tixY61Tp0528OBBy5cvn40ePdplKAcAAEAaDrq9TIcAgNDYsWOHPfLII/bRRx+527Vr17aJEydasWLFQn1oAAAAONugu0SJEin9EQBAKpk3b561bNnStm7d6qb39OvXz035UeI0AAAApNGge9asWXbLLbe4L3haT0zDhg1T69gAACcdPnzYnn32WRsyZIi7XaZMGZs0aZJVrlw51IcGAACAsw2677zzTpc4rVChQm49IczpBoDUt379epcsTf9Lu3bt7NVXX7WcOXOG+tAAAACQGkH3iRMn/K4DAAJHn7dvvPGGPf3003bkyBErWLCgjRs3zm677bZQHxoAAACSKaSTAF9++WWrVq2a5cmTJ7YX/ccff4yzj7Lxqvasyt+oJ3337t2nPc5FF13k7vNd+vfvH2ef//3vf3b99ddb9uzZXbKhAQMGBPz5AcCZ0pxtTet54oknXMDdoEED19NNwA0A6USOHGYbNsQsWg9q0zlsw4YNbtE6gDDo6VbN1+R6/PHHk73vokWLrH379i7wPnbsmHXv3t1uvvlm++677yxXrlxuH5XCqV+/vls0nzEhffv2ddl8PQrkPXv37nWPW6dOHRs1apT74qqSZyqx06ZNm2QfLwAEg7KSt27d2v777z93ofC1116zxx57zF1QBACkE0qAWa5ciJrOaOVC1DYQiZIVdA8ePDhZD6YvhCkJuufOnRvn9oQJE1yP97fffms33HCD26ZeHlm4cGGij6Ugu0iRIn7ve++99+zo0aNuWGbWrFndh8zatWtt0KBBBN0AwoYuMj755JNuhI9UqlTJfX6VLVs21IcGAACAQAbdwarNvWfPHvf/ueeem+Kf1XDyF154wYoXL27333+/++KaOXPM01u2bJkL4hVwe+rVq2evvPKK7dq1y/Lnz5+KzwIAUm7dunV233332ffff+8uYHbt2tV9pmXLli3UhwYACISjR81eeilmvXt3M5/vqYFv+qi9dLJtjTT1/Y4MIAzqdPuKjo52/6fGkEclDFKvdo0aNax8+fIp+ln1rl955ZUuWF+6dKkbhq75kOrJFmVeL1myZJyfKVy4cOx98YNuzZ/U4js8XaKiotwSbrxjCsdjA4IhLb8H9Dk6YsQIe+aZZ9znTtGiRW38+PF24403ptnnhOBLy+8BIGLfAwcPWpY+fdxqlEZ2BnEKkUZW9TnZtr5/M30pbUuT5386kdzX/IyC7rFjx7oh5z///LO7femll7o3rOYgninN7VYyhyVLlqT4Zzt37hy7XrFiRXe1rm3bti5R25n0EunnvA8iX/PmzQvrEj3z588P9SEAIZXW3gO6oKfs5KtWrXK3q1atah07dnQ1uT/99NNQHx7SoLT2HgAi+T2Q6fBh81JjfvbZZ3Y8e/agta2/M+bTtvKHIO1LS+d/eqELWAEJunv16uV6kPXF8Jprrokdvq3h3Fu2bHEJzVKqQ4cONnv2bFu8eLFdeOGFdrauvvpql5jt999/t9KlS7u53tu2bYuzj3fb3zxw9ZT7BvL6YqyM50rGpizq4XiFRW+yunXrWpYsWUJ9OEDQpcX3wJdffumSo2lUji4UarqL6m/T24BIeQ8AFunvgQMH4kx7tJNJhIPTdNy2vQTGSJvS5PmfTngjolM96B45cqS99dZbbu6hp2HDhq6HWYF4SoJuDavUz8yYMcMlSos/BPxMKUmasjIqKZvo4sBzzz3nTkjvRNSJqYDc33xu9Y776yHXz4bziRzuxwcEWlp4D+hzqHfv3m5EjT4Dy5QpY++//75dccUVoT40pANp4T0ABFKaeg/4HKc75iAet+9rlKZeMySK32XwJff1znwmXxg1BDK+KlWquN7llA4pnzRpks2cOdNlH9f8ajnnnHNiawZqm5ZffvnF3Va5L+2rhGmaw61e9hUrVljt2rXddq/XvVmzZrEBtRKrabh4q1at7Omnn3bD2IcOHZrsrOwAkBqUlFIXLPWZJZqSM2TIEHoYAAAA0rGMKf2BBx980PV2x6cSNw888ECKHkuPo4zltWrVcsmDvGXKlCmx+6iuduXKlWNrcCsLuW7PmjXL3VaPtHqJatas6UqB9evXL07JHS+I13xsfeHVxYEuXbq4YfKUCwMQLJMnT3YlwBRw6zNp6tSpbtQQATcAAED6dsaJ1BTEVq9e3d3Wl0jN527evHmcudBe9vCksp8nRsMwtSREWcuXL1+e5ONo+PtXX32V5H4AkJr279/vptFMmDDB3b722mvdCJ8SJUqE+tAAAAAQjkG3hmYr0JVNmza5/wsUKOAW3echGRCASLd69Wpr2rSpq/SgPBM9evSwnj17WubMZ1WtEQCQHihj+MqVp9aD2nR2W3mybTKXA4GX+Uwy7gIAEnbixAmXN0I5JJQHQ1UZ3n33XTcNBgAAJ1Mms2rVQtR0JqsWoraBSER3CwCkou3bt1vLli1tzpw57vZdd91lY8aMcYkfAQAAEHlSHHQrS3hiQ8e/+OKLsz0mAEiTlOtCuS22bdvmhuupQkLbtm2ZbgMAON3Ro2ZDh8asd+pkljVrEJs+6kZkxTTdybIGsW0gEqU46Fb2XV8aOqm62JrP3aJFi9Q8NgBIE/TlRfO1X331VXe7fPnyLlu5/gcAwK+oKLNu3WLW27ULatCt7+/dTrbdrl07gm4g3ILuhGpbK8O4svQCQCT55ZdfXO3tb775JvbLy8CBAy1HjhyhPjQAAACkxTrdCWnWrJmNGzcutR4OAMLeO++8Y5UrV3YBt+Zsz5gxw4YPH07ADQAAgNRPpLZs2TJKDgCICHv37rX27du7jOSirORaV5ZyAAAA4KyC7kaNGsW5HR0dbVu3bnU9Pao/CwDpvfZ2kyZNbNOmTa7kiqbWPPvss24dAAAAOOug+5xzzolzO2PGjFa6dGnr27ev3XzzzSl9OABIE3SBUUPHu3Tp4hKnlShRwiZNmmTXXnttqA8NAAAA6SnoHj9+fGCOBADC1O7du61169Y2bdo0d/vOO+90OSzy588f6kMDAABAep3T/e2339r333/v1suVK+eSCQFAerNq1Sq799577bfffrMsWbK4zOQdO3ak9jYA4OwoF9KXX55aD2rT2e3Lk22TkwkIw6B7+/bt1rRpU1u4cKHly5cvtheodu3a9v7771vBggUDcZwAEPTh5K+//ro99dRTrp5pyZIlbcqUKVatWrVQHxoAID1QLpBatULUdCarFaK2gUiU4pJh6uHZt2+fbdy40Xbu3OmWDRs2uGy+jz/+eGCOEgCCaNeuXS5p5BNPPOECbq0rgRoBNwAAAALe0z137lxbsGCBXX755bHbypYt6xIMkUgNQFq3cuVKl5188+bNljVrVnvttddceTCGkwMAUlVUlNno0THrbdqYZckSxKajbPTJttu0aeOmTwEIo6D7xIkTft+Y2qb7ACCtDicfPHiwPf3003bs2DG7+OKLberUqValSpVQHxoAID06etSsQ4eY9ZYtgxp0qwpHh5Ntt2zZkqAbCLfh5TfeeKN16tTJ/v7779htf/31lz355JN20003pfbxAUDAaZrMHXfc4cqBKeC+55573HByAm4AAAAEPegeNmyYm7990UUX2SWXXOIWJRjStjfeeOOsDwgAgmnZsmWu+sLHH3/shpOPGDHCJUw755xzQn1oAAAAiMTh5cWKFXM9QJrX/cMPP7htmt9dp06dQBwfAASEpsNovnb37t1d73apUqXccHLKHwIAACDkdbqVUKhu3bpuAYC0ZseOHW4O2yeffOJuqw63EsrkzZs31IcGAACASB1e/sUXX7gs5RpGHt+ePXusXLly9tVXX6X28QFAqvr6669db7YC7mzZstmoUaNs8uTJBNwAAAAIbdA9ZMgQe+SRR/x+MdXcx7Zt29qgQYNS+/gAINWGk/fv399q1qxpf/75p1122WW2YsUK99lFOTAAAACEfHj5unXr7JVXXknwftXoHjhwYGodFwCkmn///deaN29uc+fOdbfvv/9+18OdJ0+eUB8aACBSZctmNnv2qfWgNp3NZp9sW+sAwiTo3rZtW6I1/DJnzuy+2AJAONG0l6ZNm7oyh9mzZ3dVFlq1akXvNgAgtDJnNrv11hA1ndluDVHbQCRK9vDyCy64wDZs2JDg/f/73/+saNGiqXVcAHDWw8n79etntWrVcgF36dKl3XDy1q1bE3ADAAAg/ILuBg0aWM+ePe3w4cOn3Xfo0CF7/vnn7bbbbkvt4wOAFNOom1tuucV69Ojhgu9mzZrZN998YxUrVgz1oQEAECMqymzChJhF60FtOsomTJjgFq0DCJPh5fryOn36dJd8qEOHDq7XSFSre/jw4Xb8+HF77rnnAnmsAJCkJUuWuBJg6t3OkSOHDRs2zB566CF6twEA4eXoUbOHHopZv+ces0SmcaZ+00fd38aYpu9JdAopgCAG3YULF7alS5faY489Zs8++6xFR0e77foiW69ePRd4ax8ACAX1aL/22mvuAqEuAurC4Icffmjly5cP9aEBAAAggiU76JYSJUrYp59+art27bJffvnFBd6XXnqp5c+fP3BHCABJ2Llzp7388su2atUqd/u+++6z0aNHW+7cuUN9aAAAAIhwKQq6PQqyq1WrlvpHAwAptHLlSmvSpIlt3rzZsmbNaq+//rq1adOG4eQAAABIu0E3AISaRtpovnaXLl1cEhhNb5k1a5ZdddVVoT40AAAAIBZBN4A0Z+/eva701wcffOBu33HHHa63u3LlyqE+NAAAAODMSoYBQDhYt26dValSxQXcmTNntsGDB9vUqVMtV65coT40AAAA4DT0dANIM8PJx44dax07drTDhw9bsWLFXLBdvXp1aowCANKebNnMpk49tR7UprO5v6HeOoDAIugGEPYOHDjgyhW+88477naDBg3s7bfftvPOOy/UhwYAwJnJnDmmPndIms7s6nMDCA6GlwMIa99//71LjqaAO2PGjK402Mcff0zADQAAgDSBnm4AYeu9995z5b8OHjxoRYsWtcmTJ1vNmjVDfVgAAJy9Y8fMZsyIWb/rrpie76A1fcxmnGz7rrvucj3fAAKHdxiAsKM52506dbLRo0e72zfddJMLwFUWDACAdOHIEbMmTWLW9+8PatB95MgRV/Ujpun9BN1AgDG8HEBY+eWXX+yaa65xAXeGDBns+eeft88++4yAGwAAAGkSl7UAhI1p06bZww8/7OpwFyhQwPVu33zzzaE+LAAAAOCM0dMNIOSOHj1qTzzxhDVu3NgF3Nddd52tXbuWgBsAAABpHkE3gJDasmWL3XDDDTZ06FB3u1u3bvbFF1/YBRdcEOpDAwAAAM4aw8sBhMy8efPs/vvvt//++8/y589vEydOtNtvvz3UhwUAAACkGnq6AQTdiRMn7IUXXrD69eu7gLtKlSq2evVqAm4AAACkO/R0AwiqXbt22YMPPmiffPKJu6063Bpanj179lAfGgAAwZM1q9n48afWg9p0Vht/sm2tAwgsgm4AQbNmzRq7++677bfffnNB9ogRI+yhhx4K9WEBABB8WbKYtWwZoqazWMsQtQ1EopAOL3/55ZetWrVqlidPHitUqJDdeeed9uOPP8bZR7V6a9WqZXnz5nU1e3fv3h3n/t9//91atWplJUuWtBw5ctgll1zi6voqG7LvPvrZ+Mvy5cuD9lyBSKcr6tdee60LuPV+Xbp0KQE3AAAA0r2QBt2LFi2y9u3bu+B3/vz5FhUV5UoEHThwIHafgwcPunmf3bt39/sYP/zwg5sf+uabb9rGjRtt8ODBNmrUKL/7L1iwwLZu3Rq7aB4pgMA6fPiwG0Ku+ttav/XWW+3bb7+1ypUrh/rQAAAInWPHzDTVSovWg9r0MTfNS4vWAaTj4eVz586Nc3vChAmux1tfyFVCSFS7VxYuXOj3MRSQa/FcfPHFrrd85MiRNnDgwDj7nnfeeVakSJEAPBMA/mzevNkNJ9d7WqNL+vbt6y6IZcxIDkcAQIQ7csTsttti1vfvN8scvK/lR44csdtOtr1//37LHMS2gUgUVt989+zZ4/4/99xzz/px/D1Gw4YNXVB/3XXX2axZs86qDQCJ++yzz+zKK690AbcueOkiW48ePQi4AQAAEFHC5rKWhoirV7tGjRpWvnz5M36cX375xd544404vdy5c+e21157zT22vvBPmzbNzR//6KOPXCDu7+qfFs/evXvd/xr+riXceMcUjseGyKP38ksvveRKgkVHR7tpHO+//76VKFEiYOco7wFEOt4DiHRp8j0QFWVZYlej3O3gNX2qrXD9fot0fv6nE8l9zTNE61txGHjsscdszpw5tmTJErvwwgtPu1/Dy2vXru3KDeXLl8/vY/z1119Ws2ZNl3htzJgxibbXvHlzl9Dpq6++Ou2+3r17W58+fU7bPmnSJMuZM2eKnhcQSfbt22dDhgxxvdtSr149a926tcuSCgAATsl0+LDd1rSpW5/9/vt2PIilM5VjpenJtnVhnLKdwJlR/rH777/fjbRW4u+wDro7dOhgM2fOtMWLF7usxv4kFXT//fffLtiuXr26mxue1BDW4cOH24svvugSqiWnp7tYsWK2Y8eORF/MUF5hUSK6unXrEtwgpOXA7r33XlctQH+8hw0b5i5uBQPvAUQ63gOIdGnyPXDggGXJn9+tRu3aZZYrVxCbPmD5T7at79a5gtg2Ul+aPP/TCcWJBQoUSDLoDunwcsX7HTt2tBkzZrigOqGAOynq4VZArmGsKkuUnDmja9eutaJFi/q9L1u2bG6JTydxOJ/I4X58SL/GjRtn7dq1cxerlMxQUzgqVaoU9OPgPYBIx3sAkS5NvQd8jtMdcxCP2/c1SlOvGRLF7zL4kvt6hzToVrkwDdlWL7dqdf/zzz9u+znnnONqbou2adFcbVm/fr3bt3jx4i5ZmgJu9XBrvqjmcf/777+xj+9lKp84caJlzZo1tkTR9OnTXZCQ1BB0AEkPT9OFM++9pEyob7/9duzVcwAAACDShTToVlkvUdDsS73VLVu2dOuque07v9orJebto6EUCsi1xJ8L7jtyXkmdVL5IJRHKlCljU6ZMscaNGwf0+QHpmYaR6z3klQPTe+zZZ58lOzkAAMmRNavZsGGn1oPadFY3DcxbBxBYIR9enhQlNdOSEAXeXoCekBYtWrgFQOrQxS4lYNm5c6crBzZ58mQ3jwgAACSThqW2bx+iprO4EacAgoMuKQApulDWv39/q1+/vgu4q1ataqtXrybgBgAAAMK9TjeA8C8HplElyokgDz/8sKsCQJkRAADOwPHjZl7p2uuvN8uUKYhNH48tm3v99ddbpiC2DUQigm4ASfrxxx/trrvusu+//94NSdM8sEceecTN5QYAAGfg8GGz2rVj1vfvD2rJMCVCVeWfmKb3UzIMCDCCbgCJ+uijj1y9bfV0n3/++a4cWPXq1UN9WAAAAECawJxuAAkOPevRo4fr4VbAreFnylROwA0AAAAkHz3dAE6jJGkPPPCAzZ07193u1KmTvfrqq25oOQAAAIDkI+gGEMe6deusUaNG9uuvv1qOHDls9OjR1qxZs1AfFgAAAJAmEXQDiDVp0iRr3bq1HTp0yC666CKbMWOGVapUKdSHBQAAAKRZzOkGYFFRUfbkk0+6IeUKuOvVq+fmbxNwAwAAAGeHnm4gwm3bts3uvfdeW7RokbvdvXt369u3LzU7AQAIJOVJGTDg1HpQm85iA062Tb4WIPAIuoEItmLFCrv77rvtr7/+sjx58tjEiRNdtnIAABBgWbOaPfVUiJrOak+FqG0gEjG8HIhQb731lt1www0u4C5TpoytXLmSgBsAAABIZQTdQIQ5cuSIPfLII9amTRs7evSoC7TV463AGwAABMnx42arVsUsWg9q08dt1apVbtE6gMBieDkQQf744w9r3Lix69XOkCGD9evXz55++mnLmJHrbwAABNXhw2ZXXRWzvn+/Wa5cQWz6sF11su39+/dbriC2DUQigm4gQixcuNCaNGli//77r+XPn98mT57sspQDAAAACBy6t4B0Ljo62gYPHmx16tRxAfcVV1zhyoERcAMAAACBR9ANpGMHDhxwtbc7d+7s5mxpfenSpVayZMlQHxoAAAAQERheDqRTmzZtcknS1q9f72puDxo0yDp27OjmcgMAAAAIDoJuIB2aM2eO3X///bZ7924rVKiQffDBB648GAAAAIDgYng5kI6cOHHCXnjhBbv11ltdwF29enVbvXo1ATcAAAAQIvR0A+nEnj17rHnz5jZr1ix3u23btjZ06FDLli1bqA8NAADElyWL2fPPn1oPatNZ7PmTbWsdQGARdAPpwHfffefmb//000+WNWtWGzFihLVq1SrUhwUAABKSNatZ794hajqr9Q5R20AkIugG0rgPP/zQWrZs6TKVX3jhhTZ9+nSrVq1aqA8LAAAAAHO6gbRLJcCeeeYZu+eee1zAXatWLVd/m4AbAIA04MQJs40bYxatB7XpE7Zx40a3aB1AYNHTDaRBO3bssPvuu88WLFjgbnfp0sX69+9vmTPzlgYAIE04dMisfPmY9f37zXLlCmLTh6z8ybb3799vuYLYNhCJ+IYOpDHKRt6oUSPbvHmz5cyZ08aOHWtNmzYN9WEBAAAA8IPh5UAa8vbbb1uNGjVcwH3JJZfY8uXLCbgBAACAMEbQDaQBR48etQ4dOliLFi3s8OHD1qBBA1u1apVVqFAh1IcGAAAAIBEE3UCY27p1q9144402fPhwd1t1NT/++GPLnz9/qA8NAAAAQBKY0w2EsZUrV7r623///bflzZvX3n33Xbv99ttDfVgAAAAAkomebiCM52/fcMMNLuC+/PLL3XByAm4AAAAgbaGnGwgzx44ds6eeesqGDBnibjds2NDeeecd19MNAADSiSxZzLp2PbUe1KazWNeTbWsdQGARdANh5L///rN7773XPv/8c3e7Z8+e1rt3b8uYkUEpAACkK1mzmr36aoiazmqvhqhtIBIRdANhYsOGDXbHHXfYr7/+6upvT5w40Ro3bhzqwwIAAABwFgi6gTAwY8YMe/DBB+3AgQN20UUX2cyZM61ixYqhPiwAABAoJ06YbdkSs168uFkQR7WdOHHCtpxsu3jx4oyoAwKMdxgQQvqj16dPH2vUqJELuGvXru0SphFwAwCQzh06ZFayZMyi9aA2fchKlizpFq0DCCx6uoEQ2bdvn7Vo0cL1ckvHjh3ttddeI6EJAAAAkI4QdAMhsGnTJjd/e+PGjS6ZyciRI+3hhx8O9WEBAAAASGUE3UCQLViwwJo0aWK7du2yIkWK2PTp0+2aa64J9WEBAAAACADmdANBEh0d7Wpv16tXzwXc1apVs2+++YaAGwAAAEjHCLqBIDh8+LA99NBD9uSTT7rkac2bN7fFixfbBRdcEOpDAwAAABBADC8HAuyvv/5y2clXrlzpSnIoWVqnTp0sQ4YMoT40AAAAAAFG0A0E0PLly13AvXXrVsufP79NmTLF6tatG+rDAgAAoZY5s1m7dqfWg9p0Zmt3sm2tAwgs3mVAgIwfP94effRRO3r0qJUrV85mzpxpl1xySagPCwAABMPRo2bbt5udOBF3e/HiMf9ny2Y2fHiAmj5q27dvd1Pa4jYd03a2bNlseIDaBnA6gm4glUVFRVnXrl3t9ddfd7fvvPNOe/vtty1PnjyhPjQAABBoP/9spjKgS5fG3R4dbaapZcePB7Dpn10J0qXx2lYyV01rOx7AtgEkjKAbSEX//fefKwf2xRdfuNvPP/+89erVy83lBgAAEaBly5jh4rNnmxUtGhNo+6MgfMeOmPUCBRLeL0VNt3TDxWfPnm1FixZNMH+MgvAdJ9suUKAAeWaAACPoBlLJ//73P9er/dtvv1muXLlc77bmcwMAgAiydq3Zt9+alSmT+H4HD5oVKhSzvn+/Wa5cqdD0Wvv222+tTBJtHzx40AqdbHv//v3uewuAwAlp99vLL7/sahVr2K3e+ApYfvzxxzj7jB492mrVqmV58+Z1V+F279592uPs3LnTHnjgAbdPvnz5rFWrVu4DJH5AdP3111v27NmtWLFiNmDAgIA/P0SOadOmuXrbCrhLlixpy5YtI+AGACASlS17qgc76E2Xje3BBhA+Qhp0L1q0yNq3b+8yPM+fP9/Nhb355pvtwIEDca7E1a9f37p3757g4yjg3rhxo3sMDadR/eM2bdrE3r937173uCVKlHBX/1599VXr3bu3C+iBs6EEJRo+3rhxY3eu3nTTTbZq1SqrUKFCqA8NAAAEy969p5ZXXjHr1s1s4ULNO4t7n5ZUb3pv7PLKK69Yt27dbOHChW7Km+99WgBE4PDyuXPnxrk9YcIE1+OtwPiGG25w25544gn3vz48/Pn+++/d4yjQqVq1qtv2xhtvWIMGDWzgwIF2/vnn23vvveeyOI4bN86yZs3qMklr+M2gQYPiBOdASuiP14MPPmizZs2KPVd1QYfSGwAARJh8+eLOydZ87ZtuCkoiNY3y9J2Trfna6gSI2zSJ1IBQCqvoYM+ePe7/c889N9k/o2G8+rDxAm6pU6eOS1y1YsUKu+uuu9w+CuIVcHvq1avnrgbu2rXL1U/2deTIEbd4vCuD6onXEm68YwrHY0uvNm3a5IaP66KPzqsRI0ZY8+bN3R81fg/Bx3sAkY73ACJdqN8DGebPT/a+0d4xRkVZlpPb3HGf4bFrpOfZvE7h+v0Waef8j2RRyXzNM4fTMF31FNaoUcPKly+f7J/7559/YhNBeNTTqMBd93n7aJ6tr8KFC8feFz/o1lzzPn36nNbWvHnzLGfOnBauUvKhizO3bt0616OtvAE6d5599lmX+fPTTz8N9aFFPN4DiHS8BxDpQvkeKL5ggf1TrZodPeecxHc8+X0h0+HDdtvJTZ999pkdz579jNtesGCBy5N0ThJte99VDh8+HLtNbSvnEdI+/gYEn6aXpqmgW3O7N2zYYEuWLAn1obggqnPnznF6upV8TfPClawtHK+w6E1Wt25dy5LFu2aK1KZe7JEjR1rfvn3d8CyNrvjwww/dFAaEFu8BRDreA4h04fAeyDRkiFV66y2LrlzZom+/3U7cdpvZ5Zcn/AM+OYw0AvNsspcPGTLE3nrrLatcubLdfvvtdtttt9nlibR9IF7bZC9P28Lh/I9Ue5OZKyEsgu4OHTrEJkC78MILU/SzRYoUse3bt8fZduzYMZfRXPd5+2zbti3OPt5tbx9f2bJlc0t8OonD+UQO9+NLy5QTQOep/qBJs2bNXCK+HDlyhPrQ4IP3ACId7wFEupC+B7780mzXLsvwySdms2ZZpv79NbTSrGFDszvuMLvuOrOMPjmM9R2iRYuY49b6WRz3l19+6aZMfvLJJy7XTP/+/d2ozoYNG9odd9xh1113nZt6earpHNbiZNta53MjfeBvQPAl9/XOGOqeQwUyM2bMsC+++OK0IeDJoTJNKiOm5GsePZaGq1999dWx+yig9x1zr6tBpUuXPm1oORCfLuooIYkCbiUhUbk51eAm4AYAAHHoe2WzZmZTp8aUDXvjDbNDh1RqJ6Ymd/PmZh9+GNPLrQ6eCRNiFj+dPSlvOr/rFJg6daorG6bEwocOHXJVfjQVU7lnNEJPvdzqXFICYy3+OpoApK6MoR5S/u6779qkSZNcrW7Nr9aiDwiPbivT+C+//OJur1+/3t1WT7Zo6IxKij3yyCO2cuVK+/rrr10g37Rp09hhv/fff79LdqX63SotNmXKFBs6dGicIeSAPzrXNEdK0x40tUAjMp566qk4WUIBAABOowS+9eubjRhh9scfKttjdtFFZi+8YDZoUICbzuq+HyvR6x9//OEq/Vx00UX2wgsvuOo9AIIrpMPLNT9WatWqFWf7+PHjrWXLlm591KhRcZKaeaXEfPdRSTAF2uqN1NCZu+++215//fXYn1FSCSVBU5BfpUoVl/RKtZUpF4bETJs2zV0VVoKEUqVKueFaic2PAgAAcFSRJ35SM1Xa0dK3b0ymcpUQ85IwKVFvKl3QVzWg+AnVlIdGi/LSaOSnRpt6CaCUJJjOBCCwQj683N/iBdPSu3fvJPdRpnL1lu/bt8990Kged+7cueO0VbFiRfvqq69ctsY///zTnn766aA+V6Qdmpqg865x48buD5KSUmgUBQE3AABIUI8eZiVKmL3yiplyFPXqlfC+mgeqoFffV7UkMwNywk33sBIlSrhyuMqPpM6lhJvO4r7f6LuyluRmXwaQRoNuINxontO9994bO7pCZexUXoO5/wAAIFHffGOWKVPMvO3Nm82mTw9i099YpkyZ3Ai9zZs32/Qgtg0gjWQvB8KBRkAow+fq1avdVWBNbXj44YdDfVgAACAtyJzZrFo1s6JFY24XKBDEpjO7HDRFT7atqZQAwgc93YCZrVq1yq666ioXcOsPlTLgE3ADAIBkq1LFbMqUmPWjR2OWoDVdxSUKjmn6qFsAhA+CbkQ8/ZFSgr6tW7da+fLlXQCuepYAAADJ5pP412UuX7w4iE33iZO5XKVyAYQPhpcjYikhn/5IeX+obr31VpeQT6XBAAAAznq4+f79ytAad3sQvmdouPn+/ftdcti4TfMdBwgFeroRkVQLXrXcvYC7S5cuNnPmTP4YAQCAs/Pbb7qSb5YrV0zZMCVj1ZIvX8z/AW36N9eJkCtXLlc2TIlgteTLl4+ksEAI0dONiPP333/bnXfe6YaRK2Ga6sW3atUq1IcFAADSg2bNYmpwjxtnVrhwwvW3lem8ceNT66nSdDM3kk/lcwsXLpxg/W1lOldpVG8dQGARdCOiKFFaw4YN7a+//rLzzjvPpk2bZjVr1gz1YQEAgPRi3Tqzb781K1068f2yZzf74INUbnqdffvtt1Y6ibazZ89uH6Ry2wASxvByRIwPP/zQJUhTwH355ZfbihUrCLgBAEDqUtmwP/4IUdPV7I8QtQ0gYfR0I93TMKt+/fpZz5493e169eq5jOWa6wQAAJCqxowxe/RRs7/+Mitf3ixLlrj3V6wYwKbH2KOPPuo6GFSRRdPo4jYduLYBJIygG+na4cOH3XxtZSWXTp062cCBA11WTwAAgFT3779mmzaZPfTQqW2aW6153vr/+PGYbQcOmOXOHbOuLOdKvHbWTf9rmzZtsod82ta8bnVA6P/jJ9s+cOCA5T7ZtrKcK/EagMAh8kC69c8//7iEaRpGriB72LBh1rZt21AfFgAASM8eftiscmWzyZMTT6QWkKYftsqVK9vkyZMTTaQGILgIupEurV271iVM07wmlcjQfO4bb7wx1IcFAADSu82bzWbNMitVKgRNb7ZZs2ZZqRC0DSBhJFJDuvPRRx9ZjRo1XMB92WWXuZ5uAm4AABAU+s6hDOYhafpGl8EcQHihpxvphuYrDRgwwJ599lm3XqdOHZs6darr6QYAAAiK2283e/JJs/XrzSpUOD2RWsOGAWz6dnvyySdt/fr1VqFChdMSqWkUIIDgI+hGunDkyBFr06aNvf322+52u3btbMiQIaf9sQEAAAgoZS6Xvn1Pv883kVpAmo5pu6+ftn0TqQEILoJupHnbt2+3Ro0a2ddff22ZMmWyoUOHWvv27UN9WAAAIBKdOBHCpkPXNoCEEXQjTdPwKQ2lUuIQ1d3+4IMPrG7duqE+LAAAgMRlymTWoMGp9aA2nckanGxb6wACi6AbadYnn3xiTZs2dfUllaXz448/tjJlyoT6sAAAQCQ6OcUtSc2bx/yfPbu+zKRS08lru/nJtrNnz+6+RwEIDoJupEmvv/66SxSiYVS1a9d2JcHOPffcUB8WAACIVJ06JXyf5nIfOGB27NipoDtVm064bc3lPnDggB07diw26AYQXJQMQ5qiPxgdOnRwf1wUcLdq1co+++wzAm4AABBau3b5X777zqxJE5VZMQvQFLhdu3b5Xb777jtr0qSJq+rC9DsgdAi6kWbs3bvXzd8ePny4u2qr8mBvvfUWGcoBAED42bfPrEcPs8suM1u71uyzz8zmzj11v3q+c+WKWbSeqk3vsx49ethll11ma9eudR0Uc33aVs93rly53KJ1AIHF8HKkCUqUdtttt9mGDRssR44c9u6777qM5QAAAGElKsrsjTfMXnrJ7LzzzMaPN2vc2P++Bw+mctNR9sYbb9hLL71k5513no0fP94aJ9D2wVRuG0DCCLoR9lauXGkNGza0bdu2WZEiRVzCtKpVq4b6sAAAAE7R8HElNOvVK2butoLuVq2Ckplcw8eVTK1Xr15uKp6Cbk3BIzM5EB4IuhHWlCDtwQcftMOHD1vFihVt9uzZVqxYsVAfFgAAQFwVK5r9+qtZx45mTzxhljOn/2HjefMGoOmK9uuvv1rHjh3tiSeesJw5c/odNp43AG0DSBpzuhGWdMX25ZdftnvuuccF3LfeeqstWbKEgBsAAISnjRvNDh0yGzDA7IILzPLnj7vkyxfzf0Ca3miHDh1y+W4uuOACy58/f5wlX7587n8AoUFPN8LO0aNHrW3btjZhwgR3+/HHH7dBgwYxRAoAAISvL78MYdOhaxtA0gi6EVZ27tzpEqQtWrTIMmbMaEOHDnUlwgAAAMJazZohbDp0bQNIGkE3wsbPP//sMpT/9NNPlidPHpsyZYrdcsstoT4sAACA1Jcx46lAXetBbTpjbKCudQCBRdCNsLB48WK76667XE938eLFXcK0ChUqhPqwAAAAAiNHDrOFC0PUdA5bGKK2gUjEpS2EnEpc1KlTxwXcV111la1YsYKAGwAAAEC6QNCNkDlx4oT17NnTWrRoYVFRUda4cWOXCES1uAEAAAAgPSDoRkiorMX9999vL774orv97LPPujncqisJAACQ7qmOdsGCMYu/et5n4ciRI25JuOkDVrBgQbf4q+cNIHURdCPotm3bZjfeeKMLsrNkyWLjxo2zl156iUQeAAAgbVu3zqx5c7OLL46Zs50rl5mmzPXsabZ37+n779gRs6SC+fPnW4MGDVw9bnViaNG6ti1YsMBP0zvcAiDwiHIQVBs3brSrr77ali9f7v4QzJs3zx566KFQHxYAAMDZ+ewzs2uuMTt40KxGjZiM5A8/bHbrrWbvv2925ZVm//wTkKYnTpzogutzzjnHBg8e7BLSatF6vnz53H3vvPNOQNoGkDSylyNoFGDfc889tnfvXitVqpR98skndtlll4X6sAAAAM7eM8+YDRpk9uijMbfV4/3442bff2/2wgtmKoP67LNm48enetP9+vWzIUOGWPv27U+7r2XLlnbddddZ37597cEHH0z1tgEkjZ5uBMWoUaPcVVYF3Ndff73r6SbgBgAA6cYPP5jVr3/qdp06Zps2mW3dapYli9nzz5t98klAmt6yZYurBJOQm266yf7888+AtA0gaQTdCKjjx49b586d7bHHHnPrzZs3d3OOzjvvvFAfGgAAQOq54AKzH388dVsB94kTZt53ngsvNNu/PyBNlytXzsaOHZvg/cqfU7Zs2YC0DSBpDC9HwOzfv99lKP/444/dbWUq7969u2XIkCHUhwYAAJC6NJy8dWuz554zy5YtZqh5w4ZmWbPG3L92rVnJkgFp+rXXXrPbbrvN5s6d63q8CxcuHJu89vPPP7dff/3VTesDEBoE3QiIv//+2334r1mzxrJly2Zvv/22NWnSJNSHBQAAEBjdu8eU/tL8bZXrqlfPbOjQuD3hI0eeuq1Ea1Wrnlo/C7Vq1bINGzbYyJEj3RS+f04mbCtSpIjdcsst9uijj9pFF13k03RGq3qybarHAIFH0I1Ut379ejd/W3OHVP9x1qxZVr169VAfFgAAQOBkzmz2yisxiz9XXRX3tkqKrVqVas0rqH4lobbjyZEjh61KxbYBJI6gG6lKdSDvvvtulzCtdOnSNmfOHCsZoKFUAAAAOOXYsWOuPKvX0120aFG7/PLLLYsSuQEIGcaTINVMmDDBDWFSwH3DDTfY0qVLCbgBAEBkyJPHrFUrs6VLg970iRMnrEePHm6EYeXKld33MS2VKlWyQoUKWc+ePd0+AEKDoBtnLTo62nr37m0PPfSQu8Kq5GmqyX3uueeG+tAAAACCQ/O5V6wwu+46s8svV3Yzs3//TXj/gwc1Jjxm0fpZeOaZZ2z06NHWv39/lzTtwIEDbtG6hpzrvmdVIzy26YNuOLoWrQMILIJunJWjR4+6YLtPnz7utrKTv/POOy55GgAAQET54guzNWtianS/9FJMmbC77zabM0e9FHH31e3Nm2OW+PelkBLW6vtX27ZtXSCtOdtatN6mTRt3v0Yknmo62jZv3uwWrQMILIJunLHdu3e7oUsTJ060TJkyuauo/fr1IwsmAACIXFdcYfbGGyrlorl3Znv2mN12m1nx4ma9egWkyX379tn555+f4P2a262ebwChEdLo6OWXX7Zq1apZnjx53HyTO++803788cc4+xw+fNjat29v5513nuXOndsl6VLNQY+u2qnus79l+/btbp+FCxf6vd9LMoGU27Jli1133XX2xRdfuN+LanE/8sgjoT4sAACA0MiQIe5tjfq77z5lmTXbtMmsZcuYIDwAVDKsa9eutmPHjtPu07ann37a7QMgAoPuRYsWuYBa9QTnz59vUVFRdvPNN8e5Evfkk0+6gO6DDz5w+6v+c6NGjWLvv/fee23r1q1xlnr16lnNmjVdIO9LAb3vfvHvR/KsXr3arr76apcdU1dVv/rqK9fjDQAAELESG6ateduq362h5AEwatQo9x1ZPdpXXnllbCI1rWub7lMNbwARWDJs7ty5cW6r11qB8LfffuuyX+/Zs8fGjh1rkyZNshtvvNHtM378eFf6QIG6aj97c1Y8//77r+t91c/Fp8fOly9fEJ5Z+vXpp59akyZN3IWR8uXLu9vFihUL9WEBAACE1vPPm+XOnbLe8FSi72Lr1q2zzz77zH1H9kZzXnXVVfbSSy+5Ti2m/wGhE1Z1uhVki5f1WsG3er/rKBnFSWXKlLHixYvbsmXLXNAdnxJF5MyZ0xo3bnzafSqbcOTIERcsKtt2jRo1Avp80ps333zTjUw4fvy4+518+OGHds4554T6sAAAAMIj6A4hBdVeDzeA8BI2QbdqBz7xxBMuEFZQLLpKlzVr1tN6pwsXLpzgfGz1cKtklW/vt4bVaNhN1apVXdA9ZswYN69lxYoVbthNfNpHi0d1p0UXALSEG++YAnVsXu3HgQMHutvNmze3ESNGuN9NOL4eiDyBfg8A4Y73ACJdOL8HMrVubcf79jWLn+js2DHLrNJibvWYDv6s2lEuI03903dbdYooB5Iymut7nALxChUq+DR9zI0c9dbD8XVD+jj/07uoZL7mGaLDpE7AY489ZnPmzLElS5bYhSqvYOaGlasclW8A7A2VqV27tqs76Eu939dee6198803VqVKlUTb05xv9Zjrwyg+9YJ7JbB86XjUix5pJcHeeOMNN29b7rvvPje8XInoAAAAECPv77/73V6za1db1bWrHSxSxN3eq/ndqWz9+vWugoy+M6uzqlevXvbiiy+6Eq5ecmGVda1cuXKqtw1EsoMHD7oOX43Yzps3b3gH3R06dLCZM2fa4sWLrWTJkrHbNTf7pptusl27dsXp7S5RooTrFVeSNV+tWrVySb7WqD5iEp566ikX4CtQT05Pt+bKKPtjYi9mKK+wKBFd3bp1LUuWLKn2uP/9958bpv/1119b5syZ3fDyBx98MNUeHwj39wCQVvAeQKQLh/dAZmUrV6eEv6/W3vYMGezY4cOp3rY6oypWrOgCb5VwVYdJw4YNbejQoe7+Z555xn3nVVJipD/hcP5Hqr1791qBAgWSDLpDOrxc8X7Hjh1txowZrqyXb8At6q3WifP555+7UmFeBnKVq7rmmmvi7Lt//36bOnWqK0OWHGvXrnXDzv3RVUEt8elYwvlETs3j+/XXX91QpJ9++smdQNOnT3cXQIBwFu7vUSDQeA8g0oX0PVCxoplGa2o6njfNUYH2pZeazZkT8//JYwxET/fEiRMtf/781qVLFzctsE2bNrFtPfroo24KJp8P6Rt/A4Ivua93SINuJeXSkG31cqtWtzdPW/NQNCdb/6v3unPnzi65moI/BekKuOMnUZsyZYqbk9KsWbPT2hkyZIgL6MuVK+fqfmtOt3rR582bF7TnmpasXLnSbrvtNpcJXj38ylDuzbMHAACAHytXmnXrZqaOonffNfMdyq353CVKxN3/4EGzatVi1letMjuLKYzKs6PvuN7UQM3j9m7LoUOH4gQHGhJb7WTbq1atirjpk0CwhTTo9uoFKqmZL5UFa9mypVsfPHiwy8aonm4N+VYNbiXxik9X71S/219JMH346KrfX3/95T5UNPxmwYIFbigO4vroo4/cvAR9OGvez+zZs10tbgAAACQia1b19MT0ajdsaNaundnTTye8v3rBv/vu1PpZUCJiDSHXoko+SqamOd3qlNKc7hdeeMElFD7VdLR9d7LtMJhpCqR7IR9enpTs2bPb8OHD3ZKYpUuXJnhft27d3ILEad6P5snr99KgQQP3QZ07qXqTAAAAOEUlu775xuyhh2IC8CB49dVX7dZbb7Xrr7/eldfV/N527drFdkZp2PncuXODciwAwrhkGEJHdbe7du3qhuFL27ZtbdiwYS55GgAAAFKocGGzTz81e/11s/POMwtwIt5LL73U5eFREtzz1J6Zm76pvEgavaipmd52AMFHVBXhNKdH8+CVzE769+/vRgVQEgwAAOAsPf54zBIk8QNrkuAC4YGgO4KpZqPKSaxYscIl4FDWy6ZNm4b6sAAAANIelZvNmFHpjGNub9pkNm6c2ZYtMUnUWrUyi1epJ/WaPuJyIHnJ0jZt2mTjxo1zFX9UaleJieNXCQIQPBmD2BbCiIYgaaiRAm7N81FiOQJuAACAM1SvnsZ0x6x//bVZuXJms2eriHLMUHNVglm2LEBN13PDyWOa/tpV7FEyXNVv9qrQqE43gNCgpzsCLVmyxO644w7buXOnu+o5Z84cK126dKgPCwAAIO1as8bsiiti1p97LiZ7+aBBp+7v2dPsqaf0RSzmtqbyeWXEznJa35o1a+yKk20/99xzLonaIJ+2e/bsaU899ZT7DhjTXAbXA+6tAwgserojzNSpU61OnTou4L7qqqvcVU8CbgAAgLN0/HjMIj/8YNaiRdz7VQ533bpTt1Ub+/ffY5azrJOtpLhaYpr+wVrEa1uleNf5tK0Sur///rtbqNENBB5Bd4RQGbABAwbYvffe6+b9qKf7yy+/tMLKrgkAAICzc/XVZh9/HLN+ySVxA2xZu9bs3HMD1PTV9vHJti+55JI4AXZM02vt3AC1DSBpDC+PAMeOHbOOHTvaqFGj3O3HH3/cDTnKlClTqA8NAAAgfXjxxf+3dx/AUVVdAMdPQicJNbRQVRDpTYTQREGKUVGUMBBBygAigyIYisJHs2CGgbGB2II6jqA4IAphgCC9Sw8QQhMEpKkQkgAhed+cG3bZhISA8HaTzf83s+7bfS/vvl3vYffsbWlrdCckiPToITJihEhcnEitWiKxsWnLh40ZY1PRb0vnzp0lISFBevToISNGjJC4uDipVauWxMbGyocffihjbCobQPZIur3cpUuXzARpixYtMmN2NNkeNmyYpy8LAADAuwQHi0RFiQwfLrJpU9pz77yTdh8UJDJhgshrr904PilJpE2btO3Vq0WKFLmLooPNHD3Dhw83k+SmFZ1WdlBQkEyYMEFecylb1+5uc73s1atXS5G7KBtA9ki6vdipU6fkqaeekm3btknhwoXlu+++k65du3r6sgAAALw38dZZws+eFTl8WCQ1VaRCBZFq1W4+Vvdt3Xpj+66LDjZz9Zw9e1YOHz4sqampUqFCBamWSdm6b+v1snUbgL1Iur1UTEyMPPnkk2Z9xsDAQDPOp3nz5p6+LAAAAO9XpkzazSNFlzE3ADkHE6l5IZ0grWXLlibhrlGjhmzcuJGEGwAAwG779olERqbNXq70fvBgkX79RFassLnofRIZGWlmL08rer8MHjxY+vXrJytsLhvArdHS7WW+/fZb6d+/vyQnJ5vE++eff5bSpUt7+rIAAAC825IlIl26iPj7iyQmisyfL9K7d9ra3dqFu0MHkaVLRR5/3Iail5iVafz9/SUxMVHmz58vvXv3Nmt3a/fxDh06yNKlS+VxG8oGkD1aur1oSTCdMEP/gdWEu1u3brJ8+XISbgAAAHeYNEkkPFzk/Pm01u6ePUUGDBBZtkwkOjpt35QpNhU9ScLDw+X8+fOmtbtnz54yYMAAWbZsmURHR5t9U2wqG0D2SLq9xJdffikTJ0402/oP65w5c8zkaQAAAHCDmBiRPn3StkNDReLjRV544cb+sDCRXbtsKjpG+lwvOzQ0VOLj4+UFl7LDwsJkl01lA8geSbeXaNq0qUmyZ8yYIREREeLry/9aAAAAt/LxSbvX72Ha+FG8+I19AQEiFy6kPz4wMO12T4pOK1u/A+p3wuIuZQcEBMiFDGXrRLt6A2A/xnR7CR2zoxNmVK1a1dOXAgAAkPfo0lxxcSIPPJD2WJcOq1Llxv5jx9KWD3Pw80tbWuyeFF1N4uLi5IHrZevSYVVcytbJdXX5sBtF+5mlxQC4B0m3FwkKCvL0JQAAAORNOkt5SsqNx3Xrpt8fFWXLJGppRQ+WFJey62YoOyoqiknUAA8i6QYAAADu1ssv33r/u+/aWPSty37XxrIBZI+BvwAAAIC7JSWJtG2bdtNttxadJG3btjU33QZgL1q6AQAAAHfTtbtXrbqx7daiU2XV9bJ1G4C9aOkGAAAAAMAmJN0AAAAAANiEpBsAAAAAAJuQdAMAAAAAYBOSbgAAAAAAbMLs5QAAAIAnFC3qwaI9VzaQ15B0AwAAAO7m5yeSkOChov0kwUNlA3kR3csBAAAAALAJSTcAAAAAADYh6QYAAADc7fJlkZCQtJtuu7XoyxISEmJuug3AXozpBgAAANwtJUVk8eIb224tOkUWXy9btwHYi5ZuAAAAAABsQtINAAAAAIBNSLoBAAAAALAJSTcAAAAAADYh6QYAAAAAwCbMXn4bLMsy9xcvXpScKDk5WRITE831FShQwNOXA7gdMYC8jhhAXpcrYyAh4ca2fsd04yziCS5l63vGDOa5W66s/17CkR868sWskHTfhvj4eHNfuXJlT18KAAAAvE1QkAeL9lzZgDfli8WLF89yv4+VXVoOSU1NlZMnT0pAQID4+PhITvyFRX8QOH78uBQrVszTlwO4HTGAvI4YQF5HDCAvo/57jqbSmnDrj1e+vlmP3Kal+zboG1ipUiXJ6TTICDTkZcQA8jpiAHkdMYC8jPrvGbdq4XZgIjUAAAAAAGxC0g0AAAAAgE1Iur1AoUKFZPz48eYeyIuIAeR1xADyOmIAeRn1P+djIjUAAAAAAGxCSzcAAAAAADYh6QYAAAAAwCYk3QAAAAAA2ISk20Nmzpwp9evXd66nFxwcLFFRUc79ly9fliFDhkjp0qXF399fnn/+eTl9+nS6cxw7dkxCQkKkaNGiUrZsWQkPD5dr166lO2blypXSuHFjM7FC9erVZfbs2TddyyeffCLVqlWTwoULS7NmzWTz5s02vnLg1vX/77//lqFDh0rNmjWlSJEiUqVKFXn11VflwoUL6c5B/Yc3fwY46LQrnTt3Fh8fH1mwYEG6fcQAvD0GNmzYII8//rj4+fmZY9q0aSNJSUnO/fp5ERYWZvaVKFFC+vfvL5cuXUp3jl27dknr1q1N/a5cubJERETcdC0//vijPPTQQ+aYevXqyeLFi2185cDtxcBff/0lvXr1kvLly5sY0H/Lf/rpp3TnIAZyEZ1IDe63cOFCa9GiRdaBAwes2NhY680337QKFChg7dmzx+x/+eWXrcqVK1vR0dHW1q1brebNm1stWrRw/v21a9esunXrWu3bt7e2b99uLV682AoMDLTGjBnjPObw4cNW0aJFreHDh1t79+61PvroIytfvnzWkiVLnMfMmTPHKliwoPXVV19ZMTEx1oABA6wSJUpYp0+fdvM7grzkVvV/9+7dVteuXc0xBw8eNDFQo0YN6/nnn3f+PfUf3v4Z4DBt2jSrc+fOOuGpNX/+fOfzxAC8PQbWr19vFStWzHrvvffMc/v377fmzp1rXb582XmOTp06WQ0aNLA2btxorVmzxqpevbrVo0cP5/4LFy5Y5cqVs8LCwsw5vv/+e6tIkSLWrFmznMesW7fOxEVERISJk7Fjx5rr0M8iwJMx8MQTT1hNmza1Nm3aZB06dMiaPHmy5evra23bts15DmIg9yDpzkFKlixpffHFF9a///5rKvuPP/7o3Ldv3z7zpWvDhg3msX7B0sD766+/nMfMnDnTfEBduXLFPB45cqRVp06ddGV0797d6tixo/PxI488Yg0ZMsT5OCUlxQoKCjIfcoAn6n9mfvjhB5MYJCcnm8fUf+SFGNBkumLFitapU6duSrqJAXh7DDRr1sx8+c+KJgcaF1u2bHE+FxUVZfn4+FgnTpwwj2fMmGHO6YgJNWrUKKtmzZrOx6GhoVZISEi6c2vZgwYNuqevDbjTGPDz87O++eabdPtLlSplff7552abGMhd6F6eA6SkpMicOXMkISHBdC35/fffJTk5Wdq3b+88Rrt8aDdb7Wql9F67f5QrV855TMeOHeXixYsSExPjPMb1HI5jHOe4evWqKcv1GF9fX/PYcQzg7vqfGe1arl2n8ufPbx5T/+HtMZCYmCg9e/Y0Xb+1a2FGxAC8OQbOnDkjmzZtMsMmWrRoYer5o48+KmvXrnX+jdZR7U778MMPO5/Tuqt1WP/WcYx2SS9YsGC6GIiNjZV//vnntuIE8NTngNb9uXPnmi7kqampZr8OP23btq3ZTwzkLmnfYOERu3fvNoGlAaTjtufPny+1a9eWHTt2mODQQHKlHzo6vkPpveuXLcd+x75bHaNfynRMlAabBnlmx+zfv9+W1wxkV/8zOnfunEyePFkGDhzofI76D2+Pgddff9184erSpUumf0sMwJtjYOPGjWb/hAkTZOrUqdKwYUP55ptvpF27drJnzx6pUaOGqd+alLvSH2ZLlSqVLgbuu+++LOOkZMmSWcaJ4xyApz4HfvjhB+nevbuZ30nrts7foft1fg5FDOQuJN0epBNFaYKtrXjz5s2Tl156SVatWuXpywI8Wv9dE29NDnSiKH1Ov3wBeSEGDh48KCtWrJDt27d7+hIBj8SAtuqpQYMGSd++fc12o0aNJDo6Wr766it57733PHzlgP3fhcaNGyf//vuvLF++XAIDA81kmqGhobJmzRrT0wm5C0m3B2lrtuPXqiZNmsiWLVvkgw8+ML9qabc/DTTX1m6dvdzRzVDvM84w65jd3PWYjDOe62PtpquzQufLl8/cMjsms+6MgDvq/6xZs8xz8fHx0qlTJwkICDC/7BYoUMD5t9R/eHMMaP08dOjQTb2ddBULnYFWZyQnBuDNMTB69GjzXMbeT7Vq1TKz9iuto9oN3ZXO3q9dcbOLAce+Wx1DDMCTMTBy5Ej5+OOPTc+OOnXqmP0NGjQwCbcOO/r000+JgVyGMd05iP6ye+XKFRN0mmDoL7oOOvZCP2gc4zz0XrukuAbbsmXLzJcpx4eUHuN6DscxjnNooGtZrsfoNejjrMbWAnbXf0cLd4cOHUwdXbhwoVnCwhX1H94cA5pw6BIv2vrhuKnp06dLZGSk2SYG4M0xoEvYBQUFme8+rg4cOCBVq1Y121pHtXFC5yVw0B4ieg5d+s5xzOrVq808Oa4xoK2L2q32duIE8EQM6LweSsdnu9IfSh09QYiBXMbTM7nlVaNHj7ZWrVplHTlyxNq1a5d5rLMNLl261LlkWJUqVawVK1aYJcOCg4PNLeNyMR06dLB27NhhloApU6ZMpsvFhIeHm9nPP/nkk0yXiylUqJA1e/ZsMwviwIEDzXIxrjPiAu6s/7q8hc6aWa9ePbNkmM7c7LhpvVfUf3j7Z0BGWS0ZRgzAW2Ng+vTpZjZ+XcklLi7OzGReuHBh87ngulxSo0aNzJJKa9euNctLui6XpKvB6HJJvXr1MsslaX3XmMi4XFL+/PmtqVOnmjgZP348yyXB4zFw9epVs/xX69atTf3Weq91VPfrMmMOxEDuQdLtIf369bOqVq1qlkHSL0rt2rVL92UrKSnJeuWVV8w0/xoczz33nEk6XB09etSs36rr7en6rCNGjHAuqeTw22+/WQ0bNjTl3H///VZkZORN16Jrt2qCr8fo8jG61h/gqfqvdVYTjMxu+sHkQP2HN38GZJd0K2IA3h4DunRdpUqVzPcgbXjQdYhdnT9/3iQY/v7+JkHv27evFR8fn+6YnTt3Wq1atTI/LukSfFOmTMl0WcoHH3zQXIsus+ea1ACeigFdv7tr165W2bJlTQzUr1//piXEiIHcw0f/4+nWdgAAAAAAvBFjugEAAAAAsAlJNwAAAAAANiHpBgAAAADAJiTdAAAAAADYhKQbAAAAAACbkHQDAAAAAGATkm4AAAAAAGxC0g0AAAAAgE1IugEAyAF8fHxkwYIF9/y8lmXJwIEDpVSpUqaMHTt2SNu2bWXYsGGS1x09etT5ngAAYBeSbgAA7rE+ffrIs88+myPKWLJkicyePVt+/fVXOXXqlNStW1dySrJbtmxZiY+PT7evYcOGMmHChLs6/0cffSRPP/20dOzYUQYMGGB+eHDVt29fGTt27F2VAQDA7SLpBgDAix06dEgqVKggLVq0kPLly0v+/Pklp9CEe+rUqff8vEOHDpVq1aqZ5P77779Pl9inpKSYHyCeeeaZe14uAACZIekGAMBm2p371VdflZEjR5pu3pr8Zteae/z4cQkNDZUSJUqYv+nSpYtJIpX+7ddffy0///yzaTHW28qVKzNtDdcE9NixY+YYTUQz888//0jv3r2lZMmSUrRoUencubPExcWZfdpKXKZMGZk3b1661mhN5B3Wrl0rhQoVksTExDt6X/Tapk2bJmfOnMnyGL3mt99+21yfv7+/VK1aVRYuXChnz54174k+V79+fdm6detNrd2bN2+W4cOHm2Mc1q9fLwUKFJCmTZs6nzt8+LA89thj5rU3aNBANmzYcEevAwCAWyHpBgDADTRJ9vPzk02bNklERIRMmjRJli1blumxycnJpmt0QECArFmzRtatW2cSx06dOsnVq1fljTfeMAm5PtYu43rTluyMPvjgA1NOpUqVzDFbtmzJtDxNzjVp1WRWE05NtJ988klzHZqst2nTxpnUa4K+b98+SUpKkv3795vnVq1aZZJYTVrvRI8ePaR69ermGm9l+vTp0rJlS9m+fbuEhIRIr169TBL+4osvyrZt2+SBBx4wjx3dyPXaVOHCheXbb7+VXbt2Oc+lr1G7nuvrcnjrrbfMe6pjux988EFzXdeuXbuj1wIAQFZIugEAcANtjR0/frzUqFHDJIgPP/ywREdHZ3rs3LlzJTU1Vb744gupV6+e1KpVSyIjI02LtSa/moAXKVLEtC5rq7neChYseNN5ihcvbhL3fPnymWO0xTojbdHWRFTLat26tWnp/e677+TEiRPOid20pd6RdK9evVoaNWqU7jm9f/TRR+/4PdHEd8qUKfLZZ5+ZbvBZ0R8ABg0aZN67//3vf3Lx4kWT5Hfr1s0kyaNGjTI/BJw+fdocr8/rDwVNmjSRJ554It04du0dkLFruSbcmszruSZOnCh//PGHHDx48I5fDwAAmSHpBgDATUm3K+2enVW36p07d5qkTxNmTbD1pl3ML1++fMvk9L/QZFXHeTdr1sz5XOnSpaVmzZpmn9KEeu/evaZLt7Zqa8LtSLq1NVy7bOvj/0Jb9Fu1aiXjxo27rfeuXLly5l5/jMj4nOP91DHb+uPAnj17TELvGMeur+fkyZPSrl27LM/v6DZ/qy7vAADciZwzmwoAAF5MxxFnbOXV1uzMXLp0ybTSaotzRpm1VttNE1xN+jXh1ts777xjWs7ff/9902VdE+/MurffLm3tDg4OlvDw8GzfO0e38Myey+r9dNAWfW351m7n2Z0/u3MBAHC7SLoBAMhhGjdubLqY65JaxYoVy/QY7U6uM3HfLe26ruOXday5I3E+f/68xMbGSu3atZ2JqHY9167ZMTExpmVax29fuXJFZs2aZbrK63j1/+qRRx6Rrl27yujRo8VOev26ZjkAAO5E93IAAHKYsLAwCQwMNLNz60RqR44cMV25dQb0P//80zmrt04QpsnxuXPnTGvzf6HjpLUcXc9aZyHXru06QVnFihXN8w7afVyX39KZy7W7u6+vrxk3ra3x/2U8d0baer5ixQrzeuyg3cV1srinnnrKlvMDAJAVkm4AAHIYbUXWMclVqlQxLcDaGt2/f38zptvR8q1Jso671lZm7XKuM5z/VzpJm3Zn14RUu3nrLOCLFy9O1+1aE2ttWXcdu63bGZ9zzIZ+p2O8dRKzfv36mddoh19++cW0qOuPGQAAuJOP5VhfAwAA4B7QBF3Xvc5uLXJ30hnLtVu8rpUOAIA7MaYbAADcMxcuXDAzrC9atEhyEk24df1tAADcjZZuAAAAAABswphuAAAAAABsQtINAAAAAIBNSLoBAAAAALAJSTcAAAAAADYh6QYAAAAAwCYk3QAAAAAA2ISkGwAAAAAAm5B0AwAAAABgE5JuAAAAAABsQtINAAAAAIDY4/+AwvG/khvjqgAAAABJRU5ErkJggg==",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Coupling power pada flow 36478.67 Nm³/h : 2244.41 kW\n"
]
}
],
"source": [
"# Script: flow_vs_power.py\n",
"# Dibuat oleh: Ketut Kumajaya dengan bantuan AI (ChatGPT - OpenAI)\n",
"# Tujuan: Visualisasi hubungan antara flow dan power kompresor sentrifugal\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"from scipy.interpolate import interp1d\n",
"\n",
"# Data IGV 100%\n",
"inlet_100 = [\n",
" 29626.98, 29847.69, 30021.71, 30195.73, 30369.76, 30543.78, 30717.80, 30891.82, 31065.85, 31239.87,\n",
" 31413.89, 31587.91, 31761.93, 31935.96, 32109.98, 32284.00, 32458.02, 32632.04, 32806.07, 32980.09,\n",
" 33154.11, 33328.13, 33502.16, 33676.18, 33850.20, 34024.22, 34198.24, 34372.27, 34546.29, 34718.09,\n",
" 34894.33, 35068.35, 35242.38, 35416.40, 35590.42, 35764.44, 35938.47, 36123.44, 36271.68, 36460.53,\n",
" 36634.55, 36807.36, 36982.60, 37156.62, 37330.64, 37504.67, 37678.69, 37852.71, 38026.73, 38200.75,\n",
" 38374.78, 38548.80, 38722.82, 38926.28\n",
"]\n",
"\n",
"power_100 = [\n",
" 2051.61, 2059.67, 2066.22, 2072.63, 2078.96, 2085.28, 2091.42, 2097.52, 2103.39, 2109.39,\n",
" 2115.12, 2120.99, 2126.54, 2132.23, 2138.01, 2143.05, 2148.47, 2153.79, 2158.93, 2164.02,\n",
" 2168.98, 2173.80, 2178.53, 2183.12, 2187.39, 2192.49, 2196.80, 2200.58, 2204.46, 2208.47,\n",
" 2212.58, 2216.53, 2220.40, 2224.17, 2227.76, 2231.44, 2234.71, 2238.04, 2241.28, 2244.09,\n",
" 2247.02, 2249.74, 2251.60, 2254.01, 2256.14, 2258.27, 2260.31, 2262.26, 2263.89, 2265.34,\n",
" 2266.19, 2265.50, 2264.80, 2263.16\n",
"]\n",
"\n",
"\n",
"# Target powers\n",
"target_inlet_100 = 36478.67\n",
"target_inlet_design = 36800.0\n",
"target_power_design = 2250.0\n",
"\n",
"\n",
"# Fungsi Moving Average\n",
"def moving_average(data, window_size):\n",
" return np.convolve(data, np.ones(window_size)/window_size, mode='valid')\n",
"\n",
"\n",
"# Fungsi gabungan smoothing dan interpolasi\n",
"def smooth_and_interpolate(inlet, power, window_size=5):\n",
" smoothed_inlet = moving_average(inlet, window_size)\n",
" smoothed_power = moving_average(power, window_size)\n",
" interp = interp1d(smoothed_inlet, smoothed_power, kind='linear')\n",
" inlet_smooth = np.linspace(min(smoothed_inlet), max(smoothed_inlet), 500)\n",
" power_smooth = interp(inlet_smooth)\n",
" return inlet_smooth, power_smooth\n",
"\n",
"\n",
"# Fungsi anotasi titik dengan panah\n",
"def annotate_point(x, y, label, color, offset=(18, 18)):\n",
" plt.plot(x, y, 'o', color=color)\n",
" plt.annotate(f'{label:.2f} kW', xy=(x, y),\n",
" xytext=(x + offset[0], y + offset[1]),\n",
" arrowprops=dict(facecolor=color, arrowstyle='->'), color=color)\n",
"\n",
"\n",
"# Proses smoothing dan interpolasi\n",
"inlet_100_smooth, power_100_smooth = smooth_and_interpolate(inlet_100, power_100)\n",
"\n",
"\n",
"# Titik pertemuan untuk tekanan target\n",
"target_power_100 = power_100_smooth[np.argmin(np.abs(inlet_100_smooth - target_inlet_100))]\n",
"\n",
"# Plot\n",
"plt.figure(figsize=(10, 6))\n",
"plt.plot(inlet_100_smooth, power_100_smooth, color='black')\n",
"\n",
"# Garis horizontal\n",
"plt.axhline(y=target_power_100, color='red', linestyle='--')\n",
"plt.axhline(y=target_power_design, color='black', linestyle='--')\n",
"\n",
"# Garis vertikal\n",
"plt.axvline(x=target_inlet_100, color='red', linestyle='--')\n",
"plt.axvline(x=target_inlet_design, color='black', linestyle='--')\n",
"\n",
"# Anotasi target flow\n",
"plt.text(target_inlet_100 - 150, power_100_smooth[0], f'{target_inlet_100:.0f} Nm³/h', color='red', rotation=90, fontsize=10)\n",
"plt.text(target_inlet_design - 150, power_100_smooth[0], f'{target_inlet_design:.0f} Nm³/h', color='black', rotation=90, fontsize=10)\n",
"\n",
"# Anotasi titik\n",
"annotate_point(target_inlet_100, target_power_100, target_power_100, 'red')\n",
"annotate_point(target_inlet_design, target_power_design, target_power_design, 'black')\n",
"\n",
"# Label dan style\n",
"plt.title(\"Inlet Flow vs Coupling Power F30HN3 Cikande\", fontsize=14)\n",
"plt.xlabel(\"Inlet flow, Nm³/h\")\n",
"plt.ylabel(\"Coupling power, kW\")\n",
"plt.grid(True)\n",
"plt.tight_layout()\n",
"\n",
"# Simpan sebagai SVG\n",
"plt.savefig(\"F30HN3_Cikande_Flow_vs_Power.svg\", format='svg')\n",
"\n",
"# Tampilkan\n",
"plt.show()\n",
"\n",
"# Output\n",
"print(f\"Coupling power pada flow {target_inlet_100:.2f} Nm³/h : {target_power_100:.2f} kW\")"
]
}
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