diff --git a/docs/examples/azcausal.ipynb b/docs/examples/azcausal.ipynb index 0cb7672..380883f 100644 --- a/docs/examples/azcausal.ipynb +++ b/docs/examples/azcausal.ipynb @@ -16,12 +16,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "1", "metadata": {}, "outputs": [], "source": [ "from azcausal.estimators.panel.sdid import SDID\n", + "import numpy as np\n", "import scipy.stats as st\n", "\n", "from causal_validation import (\n", @@ -29,6 +30,7 @@ " simulate,\n", ")\n", "from causal_validation.effects import StaticEffect\n", + "from causal_validation.estimator.utils import to_azcausal\n", "from causal_validation.plotters import plot\n", "from causal_validation.transforms import (\n", " Periodic,\n", @@ -39,15 +41,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "2", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ + "D = np.zeros((90, 11))\n", + "D[60:, -1] = 1\n", + "\n", "cfg = Config(\n", - " n_control_units=10,\n", - " n_pre_intervention_timepoints=60,\n", - " n_post_intervention_timepoints=30,\n", + " treatment_assignments=D,\n", " seed=123,\n", ")\n", "\n", @@ -68,10 +82,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "TRUE_EFFECT = 0.05\n", "effect = StaticEffect(effect=TRUE_EFFECT)\n", @@ -97,12 +122,42 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "6", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Delta: 1.700664193568513e-07\n", + "╭──────────────────────────────────────────────────────────────────────────────╮\n", + "| Synthetic Data Experiment |\n", + "├──────────────────────────────────────────────────────────────────────────────┤\n", + "| Panel |\n", + "| Time Periods: 90 (60/30) total (pre/post) |\n", + "| Units: 11 (10/1) total (contr/treat) |\n", + "├──────────────────────────────────────────────────────────────────────────────┤\n", + "| ATT |\n", + "| Effect: 1.1844 |\n", + "| Observed: 24.87 |\n", + "| Counter Factual: 23.69 |\n", + "├──────────────────────────────────────────────────────────────────────────────┤\n", + "| Percentage |\n", + "| Effect: 5.0000 |\n", + "| Observed: 105.00 |\n", + "| Counter Factual: 100.00 |\n", + "├──────────────────────────────────────────────────────────────────────────────┤\n", + "| Cumulative |\n", + "| Effect: 35.53 |\n", + "| Observed: 746.18 |\n", + "| Counter Factual: 710.65 |\n", + "╰──────────────────────────────────────────────────────────────────────────────╯\n" + ] + } + ], "source": [ - "panel = inflated_data.to_azcausal()\n", + "panel = to_azcausal(inflated_data)\n", "model = SDID()\n", "result = model.fit(panel)\n", "print(f\"Delta: {TRUE_EFFECT - result.effect.percentage().value / 100}\")\n", @@ -140,15 +195,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "8", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "cfg = Config(\n", - " n_control_units=10,\n", - " n_pre_intervention_timepoints=60,\n", - " n_post_intervention_timepoints=30,\n", + " treatment_assignments=D,\n", " global_mean=20,\n", " global_scale=1,\n", " seed=123,\n", @@ -171,18 +235,48 @@ "id": "9", "metadata": {}, "source": [ - "As before, we may now go about estimating the treatment. However, this time we see that the delta between the estimated and true effect is much larger than\n", + "As before, we may now go about estimating the treatment. However, this time we see that the delta between the estimated and true effect is larger than\n", "before." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "10", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Delta: 0.71%\n", + "╭──────────────────────────────────────────────────────────────────────────────╮\n", + "| Synthetic Data Experiment |\n", + "├──────────────────────────────────────────────────────────────────────────────┤\n", + "| Panel |\n", + "| Time Periods: 90 (60/30) total (pre/post) |\n", + "| Units: 11 (10/1) total (contr/treat) |\n", + "├──────────────────────────────────────────────────────────────────────────────┤\n", + "| ATT |\n", + "| Effect: 0.965021 |\n", + "| Observed: 23.48 |\n", + "| Counter Factual: 22.51 |\n", + "├──────────────────────────────────────────────────────────────────────────────┤\n", + "| Percentage |\n", + "| Effect: 4.2868 |\n", + "| Observed: 104.29 |\n", + "| Counter Factual: 100.00 |\n", + "├──────────────────────────────────────────────────────────────────────────────┤\n", + "| Cumulative |\n", + "| Effect: 28.95 |\n", + "| Observed: 704.29 |\n", + "| Counter Factual: 675.34 |\n", + "╰──────────────────────────────────────────────────────────────────────────────╯\n" + ] + } + ], "source": [ - "panel = data.to_azcausal()\n", + "panel = to_azcausal(data)\n", "model = SDID()\n", "result = model.fit(panel)\n", "print(f\"Delta: {100 * (TRUE_EFFECT - result.effect.percentage().value / 100): .2f}%\")\n", @@ -196,8 +290,22 @@ "main_language": "python", "notebook_metadata_filter": "-all" }, + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.16" } }, "nbformat": 4, diff --git a/docs/examples/basic.ipynb b/docs/examples/basic.ipynb index 7cc23ec..f3a8e1c 100644 --- a/docs/examples/basic.ipynb +++ b/docs/examples/basic.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "1", "metadata": {}, "outputs": [], @@ -56,23 +56,32 @@ "id": "3", "metadata": {}, "source": [ - "Simulating a dataset is as simple as specifying a `Config` object and then invoking the `simulate` function. Once simulated, we may visualise the data\n", - "through the `plot` function." + "Simulating a dataset is as simple as specifying a `Config` object and then invoking the `simulate` function. Control/treated units, pre/post treatment periods, as well as the treatment dosages are defined through a treatment assignment matrix. Once simulated, we may visualise the data through the `plot` function." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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3oYSDz+3FOGzgBwRlx0dryjzYu3JYI5qaa/Z7jBgxZhiUAl51v2ya+AHgeVAVBaqiAZ4PSlRA5xofI8VoqBnAl7/8ZbztbW8DwNp/fe1rX8Mf//hH6Vu4ZMkSPP7447jjjjvwpje9CYZh1HW7WLx4MZ566in84he/wBVXXIFMJoNkMgnHceoMo3/605+CEILvf//7kj2788470draiuXLl+Ptb387/vu//xs33HAD3nnpZag4Pr7x3/8f/vzYH2fkOA9lxEFTjGnjT+uG8EpfEe89Yz7mtCYP9u4ctnAavJlipinG4YCAUGjq1JO/ruj415P+Vf77kIFXBb42Z79s2gLQHfl9wsj4+T7ATM/Id51++uny35s2bUK1WpVBlIDrujjllFPk77fddht++MMfore3F7VaDa7r4uSTT57ye1atWoVNmzYhm83WvW7bNjZv3oxCoYD+/n68/vWvl6yarus49bTT9vEID30cQnd1jEMdouXHcMmJg6Z9gN3gzdT4e4wYhxpe3lnA8vVDuPjkOVjYMXkAoKkalnYuPYB79tpCOh2e+3K5DAD43e9+h7lz59a9z7IsAMDdd9+NT3/607jllltw9tlnI5vN4pvf/CaeeeaZKb+nXC7jtNNOw89+9rMJf5s1a1bd768R/bdEHDTFmBYopSjZPgCgFjMj+4RGpqnx9xgxDjXsHK/CJxTbR6tTBk2HLIwUY3z2A6quj5Ljw9JUpEwN4zUPmqKgM2OF370fcPzxx8OyLPT29jZtRA8ATzzxBM455xx85CMfka9t3ry57j2maSII6segU089FT//+c/R1dU1aVux2bNn45lnnsHrTmfdOXzfx/PPP4/TTj11Xw7rkEccNMWYFmyPSPFyHDTtGxqZpdgVPMahDpd7iYmF02TwiY+/Dv4VAHB69+mHThsVRZmxFFkjKPUB4kM1NCimBvguqKIAprVfvk8gm83i05/+ND7xiU+AEII3vOENKBQKeOKJJ9DS0oJ//Md/xFFHHYUf//jHePjhh7F48WL85Cc/wXPPPVfX53XRokV4+OGHsX79enR0dCCXy+HKK6/EN7/5TVxyySX48pe/jHnz5mH79u2455578O///u+YN28e/u3f/g0333wzeuYvwuIjj8Yd//NtFPL5/XrMhwIOkTs6xqGOkh0al9XcOGjaF8SaphiHG8SCqWhPbWAY0AA/XfNTAMApXae8JtqokKjlAH/tQLVR+cpXvoJZs2bhpptuwpYtW9Da2opTTz0Vn//85wEA//Iv/4IXXngB733ve6EoCt7//vfjIx/5CB588EG5jQ9/+MNYvnw5Tj/9dJTLZTz22GM4//zz8ec//xmf/exn8a53vQulUglz587FW9/6Vsk8fepTn0J/fz+u+5d/gqqoeN9VH8A7L74ElXLpgBz7wYJCXwvGCnuIYrGIXC6HQqEwKTV5MEEplRUNBwqbhkr47SpmvragPYXLT5t3QL//1YRnt47hiU0jUBUFhFIs7kzj0lPm7v6DMWIcJPzsme0YKjpIWxr++bwjJn2fEzj41PJPAQBuOf8WWNr+ZVuawbZtbN26FYsXL0Yikdjv31eseah5AdKmhqSpY6TsAAC6stYBH6cPBkZKDgIeRqRNDZmEcZD3aHLMxL0R+zQdZvjNqj7837M7Drj7ajFCy1djZmSfIJimbIKtwmOmKcahDsE0VZwAftz2pw6CVWLmkAd5Zw4CSIRVey2IwuOg6TBCQCg2D5UxWLQxXnUP6HcXI32F7Dg9t08QmqZc0uC/x+czxqGNaH/E3emaXmuQ5paR9BwwMwEEpRTkEI5Eos2KgTBV+WpGHDQdRohqYcoHeOCKDpQ1L3hN2OXvL4jrKIKm2NwyxqGOqIP97nRNrzWImEYVzXX56zMxRo5XPYyUnUM2cGrcq9fCtBAHTYcRolVXB3q1Fx0oA0LjiX4fIK5ja8qQv8dBaIxDFYRQeEF4f8ZMUz1k7zn+u7IPTXsbt+sFLPnlH6pBU8O4FTNNMQ4pREv9o9VsthegL1/br9/dOFDGFXR7j0amiVAqS7pjvDrQl6/hD68MvCqek8Z7M5qqjxEGR0L0LbimfY0fooHSoRqMNMZyh2hsN6N49deDHmIYKtoYKjnobklgVnbPKkui2peSEwYxf1gziM1DZVxxxnzM3Q9O3a5P5OCfNDXU3AA1L0DbjH/TgQWlFBU3QMY6sI+BYJrSlg5NVSRzZ+naAd2PGPsPz/eOY+NgGd0tCZw0v/Vg784+YULQNAXTpCs6PrT0Q/LfrwXQiOWA/D/dd9uBaLHPIRozTWCaXguMecw0HWD84q878a1HNuCxdUN7/Nm6oCkycI3xEteBgr3vO9gEgtWyDFWyI9VXwQr6iU2j+N6ft2D7aOWAfq9gmhKGhoTBHsFYDP7qQlhtdvinsjy/MWianGnSVA2ndp+KU7tPhaa+NhYBJCIEZ/9/7TFNmjhmvPoDpzhoOsBQAJQdH0OlPQ9w6jVN4cAlLADy+6miTgRo2YSBlKnxfTn8J/nBSC+9AwVCqHQAt3RVskuxK/irCz7XAL0aFheNTFOsaQoRDRBUnpaTmqZ9jB0CEp73QzUQEbulRho5v9pTdAc1aLrppptwxhlnIJvNoqurC5deeinWr19f9x7btnHdddeho6MDmUwGl19+OQYHB6f9Hf/6r/8KRVHw3//93zO893uHHBf/Fmp7PvA4Xn31HKUUfkDkhDte3T9aA7GybEnoSBhskn81TAYi2DyQDXOjE1CUaYr7z7264PEJ79XgaSZYM/Hsl21/0mqugAR4fvB5PD/4PAJy+B/77hCNZSTTJP62j+k5PyK+P1SXVCKYU5VosPjqjpoOatC0YsUKXHfddXj66afxyCOPwPM8vP3tb0elEqZLPvGJT+C3v/0tfvnLX2LFihXo6+vDu971rmlt/95778XTTz+NOXPm7K9D2GOIiqm9KduNCsF9QlHzgrrXZpJpeqF3HI+tH6pr1NsSYZpeDf3nai47rgPJmonvMjQFmqrIiehABm4x9j+EHqX6akjP8UC/LWVAU5mLfdltflw+9fHD1T/ED1f/ED49/I99dyCRyjkpBJ+B9ByltEHTdGgGImLUUhVFMm17wzQtX74ciqIgfxj0rjuoQdNDDz2Eq6++GieccAJOOukkLFu2DL29vVi5ciUAoFAo4Ac/+AH+67/+C295y1tw2mmn4c4778STTz6Jp59+espt79q1Cx/96Efxs5/9DIZx6Ni6t6ZMAEzrsKeu3o0Ta8n26xifku3XmdDtC57cPIoXe/MYq7iyWqYlqSPJJ/naJIPm4QJKqTx39gFkeZyGVbulH36apv5CDb9eufOApjUPN3ivovScuGctQ5VFE3EFHUNYORe+ti8+TVdffTUuvfRSEFrPU002VSiKgvvuu2+Pv2emEBXBT5dpOv/88/Hxj3+87rVzzjkH/f39yOVy+2M3ZxSHlKapUCgAANrb2wEAK1euhOd5uOCCC+R7jj32WCxYsABPPfXUpNshhOCqq67CZz7zGZxwwgn7d6f3EC0JHarCqNc9NahsnFgbgyYAyM9Aii4gVFLyZcev0zQlXyVME/NGCv99oBDVMwGAxYOnw8n36pVdRfSOVbF+4NXdmHNfIFqNHO7PCRCm50xNQwsvBIl1TQxh0BBGTTPh09Toy7S/mSbP27t5I2rsqSp7zzSZpomenp7DolffIRM0EULw8Y9/HOeeey6WLl0KABgYGIBpmmhtba17b3d3NwYGBibd1te//nXouo6Pfexj0/pux3FQLBbrfvYXTF2FZWgIKEVhD1drghEx+YRbsj1UGxifmUjRRd1/K04Q0TQZkmk63FfQ0fN2IPVE4hqKYCmhH37C+go/d25w+Ozz/sTm4TKe2jxaN7GJSc/1Sd3zdDhCsGaGpsh+iTPBNG0ZLuOPawYP6152soVK5LWZSM8FhOKyv307/uPfP4kvf+HzOGL+bPT09ODGG2+U71m0aBEA4LLLLoOiKPJ3ALj//vtx6qmnIpFIYMmSJfjSl74E3w/HPEVRcPvtt+Piiy9GOp3GV77yFcybNw+333573X688MILUFUV27dvBwDk83n80z/9E2bNmoWWlha886K345WXX4KiMF3TN2/6f/D6M07FT37yEyxatAi5XA7ve9/7UCqxBdbVV1+NFStW4NZbb+W9+hRs27ataXru17/+NU444QRYloVFixbhlltuqdu3RYsW4Wtf+xo+9KEPIZvNYsGCBfjf//3fvT/p08QhEzRdd911WL16Ne6+++592s7KlStx6623YtmyZdOOWm+66Sbkcjn5M3/+/H3ah6lgaCoSugpC9iJo4ixFZ4al+Eq2P8E8bybE4NEgomh7KDuCadKRMtmgOZVpX8XxcfezvVi9q7DP+7K/EA36Di7TJNJzh8/EIc5dXPHH8Ni6ITy9ZRRDkXRlVMS7O4PLQ1WvIiCZJl1FSyJkmvJVF3c/24tNQ3vHOD69ZQwv7ypg68iBtfzYU7g+mTSwE6/WMU38//tyXcX984v/+xlS6TQeevTP+MY3voEvf/nLeOSRRwAAzz33HADgzjvvRH9/v/z9L3/5Cz7wgQ/g3/7t37BmzRrccccdWLZsGb761a/WfceNN96Iyy67DC+//DL+6Z/+Ce9///tx11131b3nZz/7Gc4991wsXLgQAPCe97wHQ0NDePDBB7Fy5Uq87uST8Z6L34Hx8XF5DrZu2YL77rsPDzzwAB544AGsWLECN998MwDg1ltvxdlnn40Pf/jD6O/vR39/f9P5duXKlbjiiivwvve9Dy+//DJuvPFGfOELX8CyZcvq3nfLLbfg9NNPxwsvvICPfOQjuPbaaycUk800Domg6frrr8cDDzyAxx57DPPmzZOv9/T0wHXdCeKwwcFB9PT0NN3WX/7yFwwNDWHBggXQdR26rmP79u341Kc+VReJR3HDDTegUCjInx07dszUoU2AqXGmaa+CJjb4ClPMsuOjwgdk8czONNM0UnZAKaCrClKmFtE0Td5/bttoBf0FGy/uyO/zvuwvRNMmB1QIHvFoAkKm6XCqnhPeQ7GLOYMIisTzHBBa56tT9SZPZVUcH9//y1b8ecPw/t3JPcATm0bww8e3SjZW6CRNTQ2ZJtvDlhH2nL/St3fMvNj+/qr6bQYncCb98QJvwnurXg2DpRIGS+Wm7xVjoEcifyMO3MCBHey95k/oXZcuPRGf/tx/YNERR+Kqq67C6aefjkcffRQAMGvWLABAa2srenp65O9f+tKX8LnPfQ7/+I//iCVLluBtb3sbvvKVr+COO+6o+46///u/xwc/+EEsWbIECxYswJVXXoknnngCvb29AFj25+6778aVV14JAHj88cfx7LPP4pe//CVOP/10HHXUUfjSV29GSy6H++75NYTrACEEy5Ytw9KlS/HGN74RV111ldznXC4H0zSRSqXQ09ODnp4eaNpEP6//+q//wlvf+lZ84QtfwNFHH42rr74a119/Pb75zW/Wve8d73gHPvKRj+DII4/EZz/7WXR2duKxxx7b6/M+HRxUy1ZKKT760Y/i3nvvxfLly7F48eK6v5922mkwDAOPPvooLr/8cgDA+vXr0dvbi7PPPrvpNq+66qo6DRQAXHjhhbjqqqvwwQ9+sOlnLMuCZe2ZO/fewtBUWLq6x+m5qM5oViYBoICS7ckbtSubwGDRnhFNU1RfM8qNM7MJHYqiSE2Tz/tRmfpENk9otcqHcOVQlGlyfYKAUGjq/s+nNzJNib1kmqquj3zVw5wZdIAXk72hTb6WigroDycd1v6CHxCZihMpq8ZijIozeUDcX7BRdnxsGS7jvKNn7b8d3QOsGyihWPOwa7yGo7qz8jqbemhuW7J9udjY20WH2O74fvKXa4ZPLf/UpH87oeMEXHvytfL3G/5yA2qeA5+Exy9apBzZeiQ+ftrHZQru63/9ClxSBcCeI58QKIqC/337d/ZqP8U99brXvU6+RgHMnj0bQ0NTGyOvWrUKTzzxRB2zFAQBbNtGtVpFKpUCAJx++ul1nzv55JNx3HHH4a677sLnPvc5rFixAkNDQ3jPe94jt1sul9HR0VG3T3athq1btkimacHChchms/I909nnRqxduxaXXHJJ3Wvnnnsu/vu//xtBEMhAK3p+FEVBT0/PHn/XnuKgBk3XXXcd7rrrLtx///3IZrNSp5TL5ZBMJpHL5XDNNdfgk5/8JNrb29HS0oKPfvSjOPvss3HWWWfJ7Rx77LG46aabcNlll6Gjo6PuogKAYRjo6enBMcccc0CPrxkMTYGla3ucnhMDk6IAHZH0nJjg5rSyoGkmBqDoZDhWcQEoUgBqaAp0VWGWB24g9VVRCJFozQ3gBWTKSfhgoVEL5viBTD3ONNYNFPHkplH87etmy+soq+eMvdM0PbR6ANtHq7jyrAXoyiZmZD/vfq4XNTfA1ecsgj7JNXN4gCn+/VqHHTkH4r5vrIqdKj0nA49D5FxSSiWTKMYnwSiaesg0lWxP+sZFA35N0fAPx/+D/Pdk8INQ61U4gEzTnoI2/sLXVQG3fGnGtivR9+/ldwqm0jLDym9KKRRFASFT3yvlchlf+tKXmlrzWJYlsxHpdHrC36+88koZNN1111246KKL5HxaLpcxe/ZsLF++XL5/lGciFs2ZJRfwul5frb67fXb9AKW91Mg1VsZP5/zsKw5q0CREZ+eff37d63feeSeuvvpqAMC3vvUtqKqKyy+/HI7j4MILL8R3vlMfva9fv15W3h3qMHQVCWPPmSYxuFp6WMFSdnwZtMxpTeKF3jyqbgDbC+SkvDeIporGqx7aUiayXMsg2KaS7aPmBchhop1DlGEq2T7a0yzIq7o+VEXZp32bKTROZLZHwN0gZhzrB0oo1DxsHamE5duCadKFueWePeiC1ShUvRkJmgJCMVRkrGLJ9tGWbn4yGhm61zqiwa4omIjqmYCJAXoUIk3seEROigcTthcGxeJ4RBsVQ1ORTRhQFCYOFz3ooudAV3WcNfss7A7RIDG60Nvf/SBvOf+WSf+mNqhVbnrjTShUXflstqZMOd6OlpkVi3iO/+PMLyLDx0jXD5CvenvNXMuKPLDxVlVYRVqzqjTDMBA0FGSceuqpWL9+PY488sgJ7w8IkcfTrDXL3//93+M///M/sXLlSvzqV7/Cd7/73brtDgwMQNd1LFq0CJRSZLmOrzNjTdvuxjTNun2uuQG8hoM77rjj8MQTT9S99vjjj+PIo46C7VOk1IOnAzzo6bndIZFI4LbbbsNtt92219vZtm3bnu7afoOpsdYZlLLBdLoBTk0yFCrSpiYbvYpVQ2vSQMbSUXZY2qYnt/eBSXQyzFc9tKUMucIEIIOmySaDUl3Q5KE9bcLxAyx7chtMTcU/nLXwoAdOjdV/+1PXJILIGg9oAcj2KQkj1DTtyaQpVv8zJSCPXvOpfKuivdQOx6BpqGRj01AZp8xvk6nmfUE02JXpuYaV7lSVpiJ4J5TCDaZu2rwrX8NQ0cZJ81rr2lbMJEpOuJBrxjRpqoK0GY4zgLDv2LOAL/q8RRd6z/fm8ecNw7hoaQ+Om90yE4dUB0ubvgzD0ixoCmBqvHpQNWBpGgil0BSuZeLnJqEnYGlsjFRBYGqqLMHfU4QVeRGzTEqbznOLFi3Co48+inPPPReWZaGtrQ1f/OIX8Xd/93dYsGAB3v3ud0NVVaxatQqrV6/G/+/GL0/8oobtnXPOObjmmmsQBAEuvvhi+bcLLrgAZ599Ni699FJ84xvfwJFHHYU1m7bhjw8/hL9/77tx8imnss3u5vgWLVqEZ555Btu2bUMmkwGszIT3fOpTn8IZZ5yBr3zlK3jve9+Lp556CrfddhtuuuVWVN0A6QPcZD2KQy9v8iqHobGBx9AUEEKnXborJsekoUFRFH7TUBRrPkbKDh5+ZQBpiw24+5qii04EthfAD6ismgGwW1fwaF88kbIYq7hwPIKS7WP5+oMvep3INO3HoImfg4rrR8wtefUcX6lSumdskygDnykBeTQAmiqdFL3mrk/kQE4pxY6x6iFvnfDU5lE8s2UMv/jrjr1y5W9EPdPkT3ByBnYTNNUVJEx9/f+4ZhDL1w/jxZ35vdvZaSCqvyryVk+hTxO7V1uSbMIq1Ng4IwI+gLVRWT2yGqtHVk/ZRqXxPhEB2q58DQDqKhEPFiilTZvmRlvIiOewqbnlXubnooaRAEKBdZPN3XLLLXjkkUcwf/58nHLKKQCYhveBBx7AH/7wB5xxxhk466yz8K1vfQsLFy6sY5cmu9uuvPJKrFq1CpdddhmSyVAzqSgKfv/73+O8887DBz/4QRx7zDH41w99ADt39KKnu3vaQfOnP/1paJqG448/HrNmzUJv7/YJ7zn11FPxi1/8AnfffTeWLl2KL37xi/jCF2/E+668CvoB0J5OhYPKNL0WoalME2TpoVdTV8vu0yuNWphsQsdY2UHNC/Bibx4bB0t4w5GdAPbd4DI6eTs+gRuQeqYpUkHXCNcndaXoImiKpiLX9hdxdHcGS2ZNXGEcKAiWTOiz9lfJvx8QOWlWnQjTxM+hrqkwNAVewBr5ToeBozQsCpip/XaC6U3eFceH4wcYKjnoaUnIYoDto1Xc+8IuHDc7i4uWzp6RfdofEEHBWMXFL57bgUtPmYvOzN4XgUTvdddnqY/GNMVU6blo8OB4AZBs3r2AECqf66c2j+Lo7uwep7DWDRTRnjanTOdGmcRizQOlNKye4wE+S9XbKNo+0lwHaHuMJfOpj++uYimdW86/BRqa38+NQdN41UV3S0Iy57uzaZgMu/I1lCvVvfpsIxoNJkWwFDT4cWmqIlkhoN6naU8ZuGXLliHPU4IPPfIo0pbOzwljmhrdv9/5znfine9854TtXHjhhbjwwgsnvC46OQwUarKlVyOuvfZaXHvttU3/ls1m8e1vfxvf/va34QUEYxUXqgLMyiYQEIrP3PCf+MwN/1l33B//+MfrHMCPPvroOnPqoaKNufMXIl9xkItoJC6//HJZAAYIX8JApj2bZZBefPHFpvs9k4iZpoMAqWvaAzG444fpOQDIWjo8LqZ0fFapIQaifbUdEBMypRSOz8TcLZHBPCm8mpqwCo0Vc4J1EmJPsUr407qhg8pKiEaqQruzv0r+oyv3OqYpIqCX/eemuQ9eRDMzU/sd3eZULtZVN8BAwcau8RoGi7ZkGPL8Pp6J6s09RUAofv5cL+5/cdduU4a1yOKjZPv4xV93SHZjb9B4zYq210TTtPv0HDA101h2fckSuD7ZY4uC3tEqHnx5APe/0Ddps12g/vn1CdMXOY1ME2edoyy5s4fPcmNgnq+yAK0gU357fl9TSvGbF/uwfP1QU73OnqKRMRS/Rs8f4RWndUzTPhIh4nvFWCmCj71x2p6w7cg29vUUNbqhRwmg6W472i5md8u/xvNysBAHTQcBBtc1EYJpB01ikLEk02TAC1gFmxggxMpoT3xPAkLx0OoBPLdtTL4mJmIvoKCU/T+6qp3KFbzUkPJoZJpOWdCG1pSBku3j8Y0j097PmYQfhGyYEKnvL6YpqhERLA0QXkdgz/vPRf2R9oemaaoJsOL4MsDyg5DxEp85GG1DRisO+vI2tgxX8JtVfVMKUsU5vvSUOZjbmoTjEdyzcic2D5f36rsbDT6LNV8+h8K4dPrpucnfJwIUy1ChKKy4oHd0+ozKpmFmQFl2fGwfm/xzlYZFT6HqyvNpSKZJl9sK933P7sPGY81XXZSc8NxN5z4qVD3sytcwWnZQdZnR73DJRrHmzUjQJAwtxRQtGKa6wAMscFKbpOeAPQ9MoilBTQZN4d/2FaRJunGvtyW0V4r4f8i3TXfb0f3Z3Ucaz8vBQhw0HQSYmgJrDyvoxIpUmCFmE4xpqkQm5ajvyXQfsK0jZaztL+LpSBsIMREKfxJNVepuVKFpajbIiyCJcG2HZJr4cXZkTLzt+G4AwMu7Cns08M8UxICsKor0nRGMQUAoto9WZkzkHJ1YalwfBtQzTXvaf86rS5/uB03TFBNWzQvk5OGTsGxcVEMdjKBJaG8AYMdYFQ+81NfUwTnqddaaNHHZqXOxZFYaPqH4zYu7sH10z52pG5mmku3J50YwMrYXTNqce7qaJnGM3dkETprfCgD407rptSChlGLLcHhsa/snN6NsZIrHqq5MM7l8X1uSBiu5j7rq7+F9KI5VBGD5qldnPbC79FzF8fHjp7bhF8/twI+f2o47VmzBt/64AY+uG8LK3jyCYM8DAkIpxiquHNfEJC2CRTHB10/0FAFp7D0XCR72UNcUvU/EmKti5pgmQilsL4DjBfu8PTHFqM1Sk3uwP+H2Jv9UVCuoaXHQ9JoDa6WyZ67gYlASFT8ZHjSVXV+ucmyPQFHYBDjd3nDrB9gK2ycTTQsFA9IY2SemYJrKjo+i7WH9QAlbRyoocXGsKE/OJQ3Ma0vhZD7wP7J28IBXYYkBOWVqMt0pmJK1/UXc8/wuPLN1dEa+K9qUOQiYPkRXlTofpMQeejV5+5lpmlrTFAYAAaEyaBPnz4mUrB8oiGeoM2PC0BRsG6nidy/3T9iPaIBp6SoMTcU7XzcHLUkdz24dxx/XDu7xdzuRABxgYnARGGcsXb7eTNcUEFrHVE0VeBRqHvJVF/2FGs5a3I60pWG86mHl9vHd7uNQyUHJ9uW+bB4qT3qviXSyGGdGSyzV31+w8aOntmHjYAnZhM6vfX3BCMDYmf5CbbfFKCJY7MkxfdV41av7zO6C77GKC5/QOgsT0e7E8YK9cqsv1tg+CENfcR1FWlLcTmLREL5O0TiNh+zQnu1DNAXVmPaaCabJJ4zJ8sjEgoU9RaNgHYiK1tn2d/cd0T9P9da6YPIg23LEQdNBgKGpjGkiFCXbn1JjICAmMqlpSujwAoqyEwrjyo4n/ZTy0wjGHD/A1pEwLSFYorDXFBuMGktnZfVc0/Scj9GyiwwXMDI2LJCMk2B2zj2yEy1JA8Wahyc2Hdg0nQj2kqYmS7zF+WVmntNPm+4OpQaNiBdMFHuH6bnpDfTRCWHGmKaob8qUmiafpyOYgF6m55pMoAcKogpuUWcal5w8F7qqYMtwBQ+tHqh7tsT9ahmqLNlXVQWaooJQiu17wXqK4w4NZ72QodDUKZ+VxvM0VS8/0bZk20gFhZov3cOf3Tq2W3NIkXpcMiuNzowJn1BsGGzeL06k52ZHghlAPDMKBosOWhIGfEL4pFhfkDBUclBzmU/RdNKkPbwIxvaCuoq5qfq9hfsDzG5N4Nrzj8C/vfUoXLS0RxrUenvBNIljEM74MjjSw+CIUirvqYShgqJeGC4guKY9jXOapaBmVNMU2ci+Bk3i6qhKk30lwFjFwVjFmTLYi+7DdN4XDSYPFuKg6SDA0FW5SgkIRXmK6hoBWT3HJ/mWhAEvIHDcQEb6ZSdAC6e7xyu7F4NvHanUDS4isBETsSBDGm9RWT3XND3nIl91pfbC8dnKk1LmJi4mEVNX8bbjulG0PTyyZmC35d9F28Mf1wzKVeC+oFrHNNWzPIIRmLH0nN0YNFGpdRGIejVNB9NlhfYE0wl6RAuVgFBZyOA0CZpmKkW3fbSC7/15y27TZoIhcH2C+e0pvPOkOdBUBRsGS3gkwh6JFGKiwQtJTPxj03hmGtHYD7JY8+Vkr6lh26FmrGzjeZoq2BwtO3B9AsvQ4PgBjunOYn57Cj6heGz90JQTzmaemjtiVgbHz2HeR2ua9IsjhKLC7/+5vD3PWDW0FWDHwQx1dbXelLWxpQqlFP1TCOzF+7IJQ+ol+/I11Fwfm4fLcP1gSpd0sZ/is6qqwPEJUqYGCsbG7okzNCFhlSChkOk9VakXHhMaBkmaGiamGivtJNPUJFFFKLOaafa8NxM7R9mbfYU/g0HTVExTQIg05Ix+jRcQVF1ffrYuPYfJA6eZ0jPNBFsXB00HGC/0juOF3jGMVVzJGg0Vbfxp3SD6C7sfZGT7DZ2tjqNOqlEWY+tIBfc8vxMjUwQZ6wfqV5uCFRGTsirz0/U3mpgImq0Gh4oOHJ/A0pnYveL46C/YAJgWIrpKmN+exM7xKjYPV7BjN6v8VTvyeHlXAc/35ute9wKyxw9CjTdQjabnxPkV6YmZ1jQxM1JWjt44aSf2kGlqrJ6biYEgus3JJm/RQoUFTRr8uqCp3uF3JvDijjzKjo91A81ZEYHhkoP1AyVZzLCoM413nDgbqqJgTV9RLiDEcTWaWgrmrlDzmk60lFKMlh2s2pHHgy/31zWiFscvgqaS7clzGV0kVJosjCZ4hU0RNItnyNJVeAEr537LsV3QVAVbRyronUTcXah6GCk5UBUFizvTOLanBaqioL9gTwgSq14AStlz380ZIFGJKwIKEeiJwL8xaPJ84Nj0hTg2fSF25ScPQuW1MDRZ+j5YsDFQtDFccrArX5vyPqo64cJHQDh0l1zGgBbL09eoOX5YUMPGVXZcuqpKV26ABQNSy6OEk3jjODhVes71CWpeMEF0D0SCg0j6PmphsC8gEZYMCBcLe7899v8o0yT+3czfCmDXqGSHxSSNcdtkxzhTlXPVKntOGtuv7Alin6YDjPGqi5GyC0NTkeODxcu7Ctg2UkXZCXDxSc0bsIZBE3uYFIWJs31C5Y0WkDC3/ty2UbSlLKztL+KNR01sBGp7gUxHLO5MS/1RwNkQILyBCa33G7F05nZLKEXVC9ASecB7x1ngZ+oaTF1F2fExWGQDfq7Bg6bqhmLE4d2Y2YngL6p7KFQ9/OTpbThudgveely3fP2JTSOwdBWnL2pvuq0wPadHyv3ZACImt73RRDSDYJo6Mxb68zV4AZnANO1p/7lo2kOYYu6rw7o7DaZJDPKKAuiaUiesrtPmzADTFBCKnfxemspCg1Iq7x1C2KSgqgqO7MqgNWVgrOKi7LC2MI3PkPi82HfXJ8jXPLSnLVBKsX6whC3DFewcr9ZZR2wYLOPEuTloamjzMYt7PVXdQAaQuqbKdNG+pOcIoRjh2iLL0KTQvD1t4ujuDNb2lzBYdLCwY2Ivsc08/T6nNSGDxUWdKWwZrmBtfxHncm83ILy+aSsMZIo1H2lTlWOBeHashvY/4vnxAgXzE6cBAHaNT/5MR+UGrSkTO8aqGCo58AKW+i3UvCnvo7Lc13AKK9oeC3BUDU/trKEzO8hSpKnUblM6pZoL3/Uli1SpEng+hW6osG0C33URUIoKfHic3bdtAuq5IISgUiXQEe6v57jwCIWNAAjqn82qy7ZBFAW2Vh8l1GzWy83XCOyAnWM/IPBcD74C2PbeR05+QOA5tjxGh2qw7cnPi2DfTF1tev4c24UXULjwoVGeFnU9eB4B8RT5PTU1QMAXio7jglCKmhKAGBrsmlu38K/ZBJo6kcup1piGzYfOzukeglKKarWKoaEhtLa2yoa/e4M4aDrASOgaNEVBEFBYuoqAhAHDZOyGHxAZyEQnRwUTVziiw/b2kRr8tlCn1IhNQ2UEhKIza2FhR4oHTV6dR5O46Q1Vhe0ROeiy/nMqKk4A2w1klZDjBxjhxzI7xxoIV91AHl9LQ9A0VnFh8AdkvDZ1akRMGlH9xmDJhhdQ9PFVOMBW+s9uHYOiACfNb23aLLhZek70/hKT41T6kukiiKQ7ulssvECat8pIRFbtognyVDR0Y0A3XVPMqRC99zwuWG88d+y8Ua4DUuqF4DOcnhso2nKfprLQcHwiJ1DL0OAGBAmVnYukqQGVcH8aU9wAUHEDUIQmp315G+1pCzvHa3jw5QH5Pl1VMLs1iV3jNRDKrmvW0uV90pI0YOoqXJ+gwFPNhqpAmUZ6ThqsTsI0lRwfFdeHorDK26gPlAgaJjPQFFVzUSPZ42a3yKDp7CUdUt8VDUTSpg5NVXixCZH3ozgOcW+I8SdMz4X3wTDXNzUye5RXcAHsmrWlDLg8beMTipSloWz7GCo6mN+eanpc4nijTJMY6xKGike2Oljc6SNp7L7jPaUUZYd5qIngsGCwdikJgy3+qi4T+Bu6Cs8nUFUF44aGsuPDCwjGdRUZy5AMU9UN4HPmv7Gpue0FcLm3Xj5iGkwplcdQTOgRLRNliy8FKCb2niERbbdEjKKpCqqT9JiM7mfS1CYZR9k5if7d8ZkQn3d+AQCMRf6er7oICNPkikV1lP3KW+y+Y1Y3BLqmQFUUWVCU5n/fW7S2tqKnp2evPw/EQdMBh2VocoVq6RqqboCRsoukoU0qfBSrOEUJV3hAKFikNBx4XZ+5tA6XHdQ8H90tFnDiRIdmIQQ9pjsrxeMlO/QRUlU2OOuaIm/u6OCXNHVUnKBuMhivuCjarFHlOUd0Ym1/EcMlByNlB9mEMYFpGq24MHj56FRi1poboOx4qPHAxvXZ6idMCYTnTTTG1VUF5Ukaz4pVf9LQ5PkklMpegMDMME0V15fpjo6MxTRNfhNNE5/E81UX3/vLFixoT+HSU+ZOut3G4Jpds8kH04rjI2VqU6623Yamn7YXNA2aAkJhqKGmpeoE0gRVYCbSc1ErCtGzr1lgWKyxQN/gg6sbSVE3+olJdqMhpQMwjZ3PjTuXzs3JAKIjY+LNx3Rhdi4BXVPx/b9sYX0XnYA9sxFRcEtCx0jZRbkWpmTFhNksqBHnqTVlYKTsTpqeLdY8VF2f36tKHdOYnIKltL0Auzhbd2QkaFrSmZbmnjvGq5KhqkSCJlVVkE3o6MtTlO0waKpxPYq4N0Q6RlQRVl0PYx5ri9Gmz8fO8SqO6s7W7Zeo4BLnrTVlwvYIah5h4mrKHZ9HKzhtUVvTc1Lh5y7qHydsGdj1V/DodgcXnXE0WsypVSjbRyt4ft0Q1g+U4HGB+1FdaaRMA3/7ujmYlbXw+MZhbBopo6slwRys25I4vr0Ff3llEJtHKjhyVhrvPHkOOtKMcRTvP31RG46Z21r3fcvXD2HbeAWGruLK4xbK1weLNv78cj/Slo73HD9fvh4Qip88tQ0A8P4zF9R5vO0Jto9W8OtVm0H44i1rGbjx4qMn7WP4h1cG0Jev4aT5rThlwcTr8NtVuzBadnHB8d2Y18aC2w0DJbyweQROQGDxe+ScIzuxuDuLgFDcfs9L8AKCi0+aizcf1YW7n+2FHQmy/ubE2ehuSWDVjnG80J/HkV0ZnLm4A3c9s32fj98wjH1imATioOkAI2GosvKIDTwBxisukq3JCZ2eBaJ6JjHxuX4otNNUBZmEjnzVQ81njTRdP0Bgqk2ZpqrrSw3E0d0ZOQnXM03svRke2VccX+o2gOZi8A2DZVAKtKYNHNmVQcpktgpDJbtp0DRWcWTp/VTVfiNlB0MlB1uGK5jfnkK+5qIrm5CTjh/JzQ8VHZkOHKu4TYOmKNNkaKoMOKOMhusTmerZW4jUXCahI2NpTNNEJmqaRBA1UnZg6dpuU5WNVUlTaaF2jFXxq5U7cdrCNllx1QyNgVjNC5BNGLyNBoWpq6i4PgIu6JcVm279Ch3AlALe6WJHg0ZnvOpidm5i6rposyotwd5Fj6Oxcq0Z0yQKEBibEGCoxO4dWRWXturYjrSlo2T7KDu+7PWoKgpMTUVLkgU/oqBC19QpjWDFs9OaMnnQ1DzYLNRcVN1ABghRvUiiyXMosHWkAkIpOjOmlAKI/TqmJ4NVOwpY21+UQZO8X/lx5bgfU9nxYPDJxgvYhCsWO+LxEN9fcV2sLP4MiqLg/LZPoXdsYtAk3qup7Ly1pgzYHguM06YmK096xybXJFUdwTSxcxIVsbckDIwZLgpVD1tGajhrScek2wGAbfk8Sr4CohkoOR5bZJQI5rVp6G7LwtRVJJNJ1EgNg9UANtGQSCRBVAM21aDpJmpEw3CVYm4H04JphoUaqcGFjkSivm1NwQVqREPNBUzTkmNMadRBjWjoSiUnfMZXWLU0NBOJvWSbbFLDYIW1xMrbBNWAQNHNukVEFJVARY1oqAbqhP0BgJLH/p5KhvubSHqoEQ1DZQ9dWbafLtWQSCRQqHoYrLDnKu8AhmmBZXA1WUlNVAOmaeHlgRpqRMOoTWET/j2mhlx2Ygr6QCMWgh9gJDjT5AcUJh94pNhykskmHOzDy1VzAynQVhUFHTw4GCmxwdcnFH7QvKeaCG56cgm0pkzJNFWcQA48QrwnUmqNpnepJmmHTUNMPzGvNQVNVeQkJ0qJJzBN5ZBpanQSj2Kk7MhVcNnxw1YLUkcRTiJj1TDg6JtEWB9S+2zAFRNPo3ZmX9kmcc6ylo6UqXOmaaKmSUziYtLaXRVdY9AUOrgTbB4u11XF9PEKpm27qUCbwF7x++ZP64Zwx4rNGK+4qHKPJtF0GmDnstGUc1+ZJscPpPBZaGvGK83vj0LNZ1Vl/NmIHkcY2Pv8/xM1TeJeEtWs4l4VzInVkFoR6bCKEx43qxRVIk7ZIoWl1D0nO8er+M7yTdJcUjzXbbzflgjUGzFYdBAQKvclev3DwHDivdqYmvOC0EPr+Nk5AMCja4fw8Cv9MkUFQPaTa0mwoKnqBqh5Pl7amUfFYc7b4vqLvbU5CyyOKc33q5lAPaotUxQFrUkDjs/SWRSQC6ldebvp+QgIlddSBK7ViHHs/PYkUqYG2yd4ZdfkRp4AC7a2jjAz2/aUCV1T4AcEtkeQ4ynX6HnO8/swY+kTigD6ItWCgonzAjohGI4uZKNjjBDmN1vo7a7VkuMHeHFHvqm4XCBfZZpVkz+/rk9kL7qm25Ts4eSFIUD9MyLGsuh+iDlosBSen5LjyblGUxVZ9e34AbaOVuQ5Ktm+rOBsS02eSjyQiIOmA4yEoXGrfMIHB9bfSWiRmqGxcg4Aqp5ft7oXTTi3jVZkM+DJdBIbeDXS0XwFmDBUGbyIyUkMrm1JEVDVP1yNaQFK2eADAAs72Mp8QXsKhFDZ+LMlMVHTJNI8k2mvAGCk7MLlA6LjBZKVkum5SAXdaDkMfAYiWicBSkMnY5FuFJNovlq/D9N16J4MpQjTlDZ1+AFnbRocbcV1LTu+ZHamKgd2/fq/iUHp8U0j+M2LfXilryD/JibCsYo7ZUWgOFZRnSImpd6xKnxCMViyUXX9CUFTLSJ8Dvdn34ImoRtqTRlYwFmeycTgRdtjqQCjSdDUENiH4uMo08TOj2iaLe4fOxIQRZGOVMM1LmbE/V3mLv2aGg2afKzpK8LxCFbvYtcnZJrC56LZPScmY5GWiGqaxDE2Mk1+QGSgfMSsDMqOjztWbMZvVu0CpRTdLRZakgZ6x6pYvm4Ym4crchITgWEuZSDgNhMl20fVDTBeZaxXtGJKGBlGA4QUN/bMV70JnmdOw3UQQRKljGQSTGbV9eu8mwSqkbS3GIcqDuvNx5grE+1pEwGh2DJSntLORFTpqTzo1bmOywuI9N6KnhNxLNmELgOerpZmQRM7Py/vzOO7KzbLXoGE0LqigmjQJIpc2psEB1MVi1BK8YdXBvHYuqEpTXlHK448Fl1lhTxT6QWly3+ToCmako+my8RYWrbDz4h9jl7LsuPLOSVlanIbrk/w0s68fF/FCWT1a7Ng8mAgDpoOMNb1F7F+oCRZBV1lfje2F0xqyCYG+6imqOIEYdCkRB9cG7rKBnK2Yqq/4Ys269ekKCw1BwCv9BX5oEuR54JsUY4qbtTGkunohFR1fYxWXIxXXaiKgkWdYdAUUArXp3X6DoA9iFXeK2q45NQ1/2yE8KhJGhocn0woIac0DPKiDWObDbhuQGR6Qwy44oHNN4jR99V2QAQsGUtHkqcqCaUTqkOkuaUfYG1/Ef2FWt13945WsW0kZIqaMU2UUmzmTF80vScCN0ohU0/NIO49wSzaHtumuE9tj7nME0Jh6EqdMLhRNL+vQnDRG21Be0ref2OTBU01j7F3Ij1Xx8LUV65Fy9wFxCS4iAf6YuIKmab61EXINIWNbAs1D89sGZXps4pkmlSkLLEPBFtGytg8zH4IoZIdSpmhWLjZpBi1GwDq09GTaZp2jrN7KGPp6G6xMFRkRRPbRqrYOlKBoig4chZLdQyXHTy7dSwM8q16pqnmBfKeE50DCGX91kxNlUGc7QdyPwxVQQ8fkxpTrbUmi0AFotqKImmwdI0f0KZMVTS9LuQKZYezKLqKbMJAK2eNyrYvn4tmEMafnRkLiqJAV5mlg+MF6MyEcgRx3UUAlk3o8hntylhSrCz+bugqhko21vYXQSmwcvs4XtqZR9ULEBCCneNVlB2/7jkXTFN7M6apoVoxio1DZcnyj0QWjbYX4OfP9eL53vG67belTHk8Y5XmUoBoVWkzPZ4bhCn5KNNkGRq/ZyJMEw+uhovhvlWdQD4naUuX2xgru3Ums4RSDHC5RVtq70XwM4k4aDrAcHxWrTNSdlFx/Dq/k8bu6AJ2kwG85obtLBQwwSrlpmkUjGL3CXv4oz4+G7kAfE5rEtmEgZGyg0fWDGLjYBmv9BXlACfGYCFsLDv1g7IYrDcOlXDHii14dO0QXJ+gJamjla+UunMJKECdBkJArHry3ORNdDlvBKUUoxUXrh/I1eMwtx+IThRi0o9qo5oZYYoJ1NRVOVGJwbsxcNvn9FyEaTJ1VaZTG03qVB5Q5issoN0xFgZNAaH4zapduP/FPrnv4m8icLU9Jv6PUtoCUUfyZkEkACmuB4CWZBho2F4YYNoeS90KLZ5exzTV+3rta3puRzRo4vfSZCviQs3jFYlTpecaNE1Rpolf8yN4CqviMAapWeoBCAMKUTRQcX2s7S/hyc2j8n4RCwxdDZkQ1w+wrr+E4ZKDneM1jJQduV/JqMlqE2ZYBMEi/RddXPkBwWDRRo1XawlEXcAVRalLsTzJ+0wu7GRBU8n2sStflaJxMaG2JFm7FNtlqS+DB0jimluGVtcOyPYCOHwfVFXBPM4SNgZNjdeBUraYYEUtCjKWjlYeNDUzNo0K1gXKNmOafEJhe6yy0dRUlBxfmns2glIq/9bOWSVdU+ARAjeg9UGTWZ9Cz1hh0JSy9AkpuvGKi63DFQSEylYxj60bxoaBEvI1DzvHa9g+WpH32VDJlgF8M0ZlMqap5gZ4bF1YIRhlZHeO19CXt7GK+4qJv7WnQ0PR0UkMXb2AhoamTQJ5sd+aqtR5JyUMlRmL0nCcE4v+6Hhccf266yjG4nWDJVDKshUi9TooU/Ux0/SaxPnHdMEyVPiEYN1ASWopqo6PgDTv29XYQgXgWpKAQOV+TaamsbQOpXLl6gdsEIlO/qLX3DE8NdefZzekqTPR+GPrhtE7VpUr7U4+GFQn0TSJAX1NfwGuT9CaNJG12IpAaASinbsFxiouAkLlw2v7E1kxgE2KjhcgIJBiViH0juq1hBldITJoNHN4lh5NUUqZP7DRxq/ATDBNfFUqXIunMKlLGBrGqi5GKy4GS3aklD+QA5g4brHqz0Z0ANsiq7OoPqxke/yeohgqNmeafBIOkGEDY1K3HdsLmmqaal6YnpMB1z4wTWWHteFRFGB+e0quLgtNmlAz00nWULZZ0+PVfQWsGyhKxq/Rp4mQsMR7blsSpq7C8QnyVa9OrxSFuO/Ljg/bDbBluAxBHIrdq3EmRlfZeUoYGkpOmM7zA4K+gl3HfEnfowbWjhAq72MhSI8urv66fRzbRioYrYRBWLRBr9AzRa/JcMnBpqEyDC1sJ+P4RAZa4pnMJQ0EAYHtM61RmhczVF0fjscCVU0JXZYrdsicqIqC+W1M09g7Vq27dnI848dccpjLOGOMCbJJVjTiEYL+gj3hORTPsJhUARZI+QHBUMnGuv4Sdy1XULF99I5Vmgbyw2XGcBuaIsXvKZONo64f1KXnUmbYby8gBJkI02TqKma3ssCoP29jvOLiiU2joGB6p/edMR/H9mRBKMXvX+6XwZEXEBRrHh5dO4i7nukFpWzxm24izI4a4A6XHDy5eQSOH2DFhiFU3UA+JxUnZPvEMYtyfcHCt6ctqSHKT7IYiQbvjjfRxFjcp1aDh5OpqTKob7SjiAZoVTfUz6ZNTZo1C1bwdfNakbFYIcoQD7aaMXAHA3HQdICRMnUc1cUClt6xKkoOK/Nf3VfAjvFa035NzVbIFZcJMnVNgck1AC4XeramTCgKpHuzmADyVReDRRuqouAonpoTLuRHd2fRljJQ8wLsGq/ilb4i8lUX3VnBNNUHFNGmvX5AMFCw4QYErSlDTuaqqsgUSaVh0BqtuPAJY6YUhbllN2MTmJ6JpeZEoDNaZj3t6pgm7lYd3c/xJuxVlNpvPJZG7cO+9nWLapoopbIfVTNrCUMF136xYxHHFp1EJwZNIpVG6iqNinyQdH2CoaKDv24bw87xGgaLzZmm6KQktllzgzqWqub6Mi0TrZ5zvNB2QmhzXH/Pm/buGKvi0bWDctDsyiaQMDS0JAyoigIvoHX7A7CJXqxWmzFN6wdKyFc9jJQduDz9PVCwcfdzOxgzx3Uwmqqgu8WSTbSHS06o12hIz2UiQvCXdxVQcQKpyxPNmIXpp87Z1TT3HRLPoU8odo5X5b4mjMmZpoLtocrNFBeKoCmSnhspu9A1VbpMA0w4XuaBiAhcqhGGFQCe2jKKmuvD4Cyn4xGUbLb6F0GlsFQQprmimKHKK90IoVi1I49dfAwR+jAogKoCPbkkDE2RtioCjeNZoeohYWjQVQW2T9CS0JEwVO6iT7GroR1LWWph9LrXfEIBykXYCvu7wReDW0Ympug2D7FnZkFHWgZyLfxZ9QmtEx5HmWJFUWDpmlyMmroq285sH63gvhd3wScsNXp0dwsURcEFx3ejJ5dAyfawZbiCIGDj3S/+ugMv7SyAUuCYniwuO2VuU2uQaKulZ7aO4pktY1i+bhhr+0tQFOCipbNlECkCIXE/iHFRjG8dGVOm4ScLmnaXcg+fj/oQgu07L1BSw5QzIbS+IbM7MT03VmF6uWxCx5LONNIWO8dVh2nOGguJDhambTnw7W9/e9ob/djHPrZXO/NawexcAilThxcQrO8vstQcoXXNPqNopgEYqzAGQVdVWIbGXGZ9AkIp0iYTYYreb45HgAQkGzG3LSkHHJEvPro7I12Yt46U4fgBtoxU5INY4X484oFOmSFdLNx7DU1FwtCQiRi2SVq7IfU1VmZusmlTh6GxVeZo2cGc1vqy8pGyAy9gBmu6yiZrxwuQr9b72vh8YPACNsBTvm8l268z1WwUgUfPa8n20Z42pdv5vjBNUcFnxmKiUTGJNrvGts8MTDVV9KYSlXThPohrJUTx2UiqKCp6d30iA4pd+RozxbN9jFddOH4wIRCIrpiTkcE52jevZAdS8Gtoqiyb8gmVgUtLwpB+KzVePv7ImkF0ZCyctrC5347A01tGsXO8JsXUQgCuqop09s5XvLpigkaPJnZuiDwmETBXnQB5PmGMVmzkUjq2DJdlqxA2SevIJHQUbQ/9hVrdSjoKkRIaLbsyiBXBYtnxkU3ooBR1QVOSmyA6PkF72kTNDWTKSlUUWLoaaedTf8/tHKvyZ1qTrG/UgDZfdaU7u801UrvybNvz21MyfSaqpE6Z34pVOwsYLbvYMFCWrGFPi4UNgyUMlx35jCt8DGGBJRM3B4Tp3EQLHUVRMFR0sKQzg6LtQYWGE7IX4MIje2BqOua2JbFtpIresapMYUXTkgCbuFlVMWP6sgkdg0UFWYuxO71jVSzuDEvNqxGGQqDiMpZLUxXoGjNfzSR0aQy5ebiCE+bk6s6tYNaOmJWWrXHEWKAoE/ucafy8iMo4+dxoqhy3xMIvlzSQNnXJ4BqaineeNIdXIHrot32YmoKa6+OIWRmcf8ws6XXUDNGm3iIV+/imEbSnTZy6oE1WQlecGsarLnpyibpAZ7TsyMB5VsaSqa7CJCL5xgVjzQ3kgor9XTCxE1kxMbq1JHRUucda0WZpdJH+1lQFZf7dolpzsGhDV1WcMCcnfcJsj8D1CXLJfTO1nElMO2j61re+Vff78PAwqtUqWltbAQD5fB6pVApdXV3TDppuuukm3HPPPVi3bh2SySTOOeccfP3rX8cxxxwj32PbNj71qU/h7rvvhuM4uPDCC/Gd73wH3d3dTbfpeR7+8z//E7///e+xZcsW5HI5XHDBBbj55psxZ86c6R7ufkXa0tGaMkApW7GWbA8aFyA2YyGaCVjHKg4CyhqnmrqKneM16dRc83wkDI2Z/flEPgBikJ/TGnYWF9VCizvTWNtfgqowtkFTFXRnE+gvOHLgrHmBDLZk1Q5/gGsewewcYweipoiWwQWUDSzBWMXlwZAOUxOVHBPTaSNcBC5EnwmDlRIPl5w6bZDrE1n1Yuoqqx4M2Ir++GQ4WDbaDQBhuqbisKApl9QxXvX2KWiqeizIUBQ2KJQcH4YmmhhPZLBGy+x4VG7sN1qdqNsaKtY7xwtGb6BowycU2QRjAmouG6T6xmso1jwecHIxeBOXZRFosMk7vK5RbZTQ/mgqD1AUNuEHkaApwdnAqhswob/j45W+IixD3W3QJNzGt49W0JY2ZdAEQAZN41UXCzrC18VAHA0CxbmpuQEX9iqoeQEKVQ+EUPQXHJTsAAs70vJYRVDdnjbQl2eM3GSaJvYMUmweLkNT2er3uJ4sBji7k02wijPHJ5KBSvCgyfUJeloS2DhUZsauqoq2tCGZi8brDUC2kunIWKELNw+6xSLB4MUkYpIcK7voL9RwAm/OG55fpgs5bWEbntg0gud7x6GrClRVQVeLBQXsGRgo2FKHQ7k2RVUUqWkS6SUKFlywdB2751RFwwm5c3HBwsUAWPC7baSKHWNVeQ80+mWNV10kdBW6hrr0by5lwCcE20Yq6MyYmN+eQkvCkIuRVFTT5AR80REG0EKsXXJ89I5W6lzuC1UPwyUbqqJiSWcGT2waYddbjrETJ2gRTAoNT/S5yVi69BoydRVvObYLD60eqMscZCwdr5ubw583DHP5g4al81rx92cs2K0fXLSxuMcF8pqq4IhZaZx9BPOhak+Z2DVek+No1E5guOTC4UFle4aNcUD4XA8WbYyUHRw/mzFjwkKCtWhSJ9gOTLaoAMJ0bZYHTV7A2FsxVrgBQV++Jgsc0paG4bKDku0jlzSwdC67b9OmzlzJA3LIVM4Be5Ce27p1q/z56le/ipNPPhlr167F2NgYxsbGsHbtWpx66qn4yle+Mu0vX7FiBa677jo8/fTTeOSRR+B5Ht7+9rejUglTDZ/4xCfw29/+Fr/85S+xYsUK9PX14V3vetek26xWq3j++efxhS98Ac8//zzuuecerF+/HhdffPG092t/I83LcWfnEiCUrYRdj8D1g6biY9mdPaKvyPNJIMWduR9dOwiA2f6PlF0eNLEJWpZ8Fm1ebswGxGhPOGFZMFS0UXN99LQk0N1iYdNwWQZr0dRXQtegKCzVNFZhuqNcIkzNAYxtMXXu+F3zpOeK7QWMTg8okjzoIxRNg6bRsiu7l6uKgoSuwvECDJfq3yuYJp+3pxGDTH+D7YAQNUbTc5bObCBEjl08oPsSNEUFo6wDewBD45N4E0+dkbIr3d0ByArBKNNUdnzZtgEIU2mCZVrAJxWAsWYv8NWzpakw+QTVrIJOHCdjCkNKXWiyAOarAoQThmj1EkQYteh5Z6tLzpZ5u0/X1TwWaBVsD7qqyMAeQEQMXn/NpUcTN4yNHkuVV+/omoKaG2Cs4mDraEVOJL1jVZmuEOdMFD0MlWqouT42DZXrysgBxnwVaz5KNrvXlsxKo+Yz5qhQ89CSNEB4ObZgmgLO0InA1tAU+D5r/yKerWgrnSjE93dlLdlySCyshD2IYJpE0LR+qIztDRWXJdvH+oEitoyUcfL8ViRNDfmah6oXQFcVuD5FR8aCqal4ljc+ZvsOEIIwaCKh1k0BCyS8gGC86sp7XowLQKjD2pWvyXsgnHCZJ1K+xnrGpfgCKyCsgi7Hq/dW7cjjgVX9WL6ele2LhU+mQdPkBkQGTVG9pMcXVCIABYDlG4bwDG+3JIxNASBar9KY2hd/EgFOlKEFgKVzWpAwNPzd62bLMbZxPNc1lY+dbD+7s4lpGehGn6uBQg1DJQc+objg+G4ZCLal61NuUaZpqGxLVrYa8dkSC6OHVg/gD68M4i8bWfDo+AF2jNfw4o48xirexKBpkvQ1EFYyp3jGA+ALu4BK5tMLCJ7YPIKK4yNt6djKNXhtEd/ATEJHzWOtXA4VETiwl47gX/jCF/CrX/2qjhE65phj8K1vfQvvfve7ceWVV05rOw899FDd78uWLUNXVxdWrlyJ8847D4VCAT/4wQ9w11134S1veQsA4M4778Rxxx2Hp59+GmedddaEbeZyOTzyyCN1r/3P//wPzjzzTPT29mLBggV7ergzDsaasJWSpiqgYIO8O4kYWoiyo+m5fNUDoRQtCR2FKvOq8QOCzrSJkbKDjgxzmvUCRk+7PsHW0Qo2DpRxxuJ2HDErIwOK2bmETKkNlRxkLB2zcwnsytegqUpdmTWYHAsqF7jW+D5TytinaNBUdtkDoShskhiruujMWFLYyrQxKixdheP7EzRNYjD2AoKOtIXuFgvbR5mottE12wuITBukLQ2ZhIGyHTYLFmienlPrms+yB7QyYQJrxJObRkAocO6RHRN0CCLgEAO34xFedaZOsG9ggSfrCSWGaeEZ1chK9Y2Hk09WXjMbnRkLCzvScHyCwSJjItdxPy5TV2FqKhNVNtE1RbUZYcUZqa/CsxmLIga9loQuG0aL47F0ra4EPqpjc/ygjt2LgnDLjQK3D5jblqyryhJBk5gMxisusjyVJpgmyQ7ydjDRsv+aF2DVjkKdEH645EhjS1FgINJHQ0WW8hopO/jLxhEcPycnJxlh2QEwc1hL1/DctnFsGSpjVsbEko60bKJsyFYz7PyoCgsyhDFizQtbw0QnxSj6i+IZTcogTAhtRRCpawocnrZh54m9HmVi+ws1jFc9vNJXxN+eOBtnLGrH+oEi8lUPbSkD+ZqHua1JDJVsbB4qY7jkYFbWklVtALi3D1sACRZNVxUoUDBccphuy/OxfPNG1Ogg/vmcMzErYyFpaqi5AfoLNcxrS8nJ/IUdefxhzaAshkkn2LPtBRQJU4PuqKBgJrUJQ5PXTzJN/H7yA3bsXkCgKQo0lZ2j1pSBoZIDQxOarXB8Wbl9HJSyheNohTXJ1VQFQmOvKJjAYoqz2Rigi6Dp9Us6cObidiiKIr/L82mdrGG86oKAym00FthMhmiD5B1jNX5PJOpSeq0Ni4tooNPPA0ZDU/H7l/sxXHKkoannE/mZldvHZeAvWuYUa16dhQAQppGbMU1i2NRUVkhRcwMMlVhmhN3DCjSFzUtr+osYKtrSU0xY5wBs7LS53UV7ykTZ8fHctjFkLB1nTNKM/UBgr4Tg/f398P2JFzsIAgwODu71zhQKzPStvZ2dkJUrV8LzPFxwwQXyPcceeywWLFiAp556ao+2qyiKTCU2wnEcFIvFup/9iaTBmvb6AUFPLsE0NISiYHso1Sae10Y6OyAURdsDoWy1VfMCBAFlqTmfBQ9pHph5AUHFDdA7VsVGXjknVq+CoejJJTj1Tnh/MSIH9WokTdNocJkyNWkqx5oP07peUIWqh4SusnYqFNg5zrQWIiUo7Pst3hyz2BA0jVVYZRR46445rUkkDA2uTzBcrg+GRCUKS89pmJ0TzFl9kDCZENzjlYamrkqtxFRBU80N8MzWMTy3bayuYbBAVATOtsU0Xzpf6XkBwaodeZRsD/0Fm+lDEOooCvZEpgmodzlnFTwB1z9RLGhPyUDqlb6SFPWa/Br4hE4IIoF6bUZUcBq1YGAsI5X7l+FBk3CMBtgAKa5pzavXRE3V6sX2WdAt7AOiqTmPFxcAbDLoy9ew7Mlt+OPaQalpsnQV7Zl6vY8IIAxNRbHm4bltY6BAnRmisGAQTFM3H7CLtiuZpIrjY8twKCK+5/md8AIiDUuLtoddYzWUHR+bRsry+J2IpqnM9YBCE5NJ6LD9oK6fY2KS9JxYHMxpS0Q0cUSeDwAyPSc+G553Ua0ZmhiKf79uXo57xLHxosDTuKLa7rltY/D5QowxLqHPWon3wtNVFZkEY1JHK6x9TMVzsIXejd/uvANu4EJRFHk9xWQv9nO45NQxQGlDVNIGMg3KJnd2b5RsH7YXKVU3I4s5MLZZaJEoKGe6mXFvyfHl+wghsrdhwtDwlw2MXUnx4E6BAhVAxa6/Fo3Mk1xsRAJ8ERyJcyV0gOLzoxUXlACKwoKpktNcU9SIaFAtgs5Gs+Do4iJq4guEjHvK1BjjwxfUXkAwWLLrKnqXrx/CluEyRsrseRupOJMzTUaToEnYTijhImy45MDnhRKqwtLNYs74v2d7MVp2kDDUunE5Y+nS3qI1ZaBke3ixN4+XdhYmfOeBxF4FTW9961vxL//yL3j++eflaytXrsS1115bF+DsCQgh+PjHP45zzz0XS5cuBQAMDAzANM0JwU53dzcGBgaabGUibNvGZz/7Wbz//e9HS0tL0/fcdNNNyOVy8mf+/Pl7dQzThWil4voEnk9l6qnaULEEgOt02B2d4I0nax4zFCSUIqFrsloplzJY/zkvQEvSgKEyz4xC1cVvX+qDGxCkLTYwUEojTBMTMY5UWIookzRgaCo60iaqbiCZoWYVdDbX7hi6yppARoW6XKvVyjUjwrRMeDSJwYalx4BCgyv4CC81NXlZa1eLhUyCPVSNbt9eQDHGJwZLVzGPVw2NNHg1ifSMSAUAbMLy+ATByl8nGiVuGCzVWRhE2aIXe/NoRNTYEmBBg6g6qzg+/rhmEH9aN4Snt4xh+2iVpXNURaYARMAiJhgxCAuWwwvYwC98qTr4ip6df4q13AKipyWBlqSBtKVz5s6bMDFHV8xR75yo55XLixVEJiFjGROCpkSEaRJNlgWmcgkX92ORM6Jikl03UMRtj22SgUOh5qGXr0iHSo58v6Wr0kVZpudEOyBC5YTenjIxi6ehXZ/UpacBoC3FdEOsrLuGoZKNTcNlrOFtT0YrDh58eQD9BRuLO9IoOx42D5VlIDlScqUprOsTmcos1tgCRwQ9WcuA4xFUnEA2NbWapOfE9QJY6nWgYGPneFWmZ6NMU0BDE0pxPQjnRhw/bJdhqCoGCjYMTcWijjRUhQU8eX5vC92REIWLZ0DXwhJ/ZkfhQ9cULOxI85QzS5l7AeHFAKHVyYKIXxNrtULk8YnFmaooMoB0eONeUU2lKKL5NcVg0ZGarhTfn3LkWRRpr4TOFpOGpsLQVJRtX7Il20aqqHExctrUsGpnngdLLMzUNSYmb3QyDws4aJ23mdmEbTEiBrZi/LY9gnzF40UBVLLj00E0bS4qLBsLSnJJVojh8tRvNGgS1YsiKDF5haHP9UUA0JkxsXRuDpQyLy/GWCoYr3gTFsyh5m9iUYlgJjU13G9hUKyroc1FTy6B2a0JjFc9bBmpIm3qcDkzx7atcosHWmcm2ozdOpDYq2//4Q9/iJ6eHpx++umwLAuWZeHMM89Ed3c3vv/97+/Vjlx33XVYvXo17r777r36fDN4nocrrrgClFLcfvvtk77vhhtuQKFQkD87duyYsX1ohoTBbhxBPQqvC8+vf4hW7chj0yBb5YqmoIDo9xXwB1zl/ZoUzMklQSlFoeohE7Gm/+v2cbmdtKWj5jEvGpvrGWZlWcpMtDtJm8xmvy1tMk2Uz1y/m7VSYf2y2GDj+aSeaeKDjpioRMWQCD7EYJM0VBBCJwwg4kEXqZqMpaObb2uk7Nb1pfKD0Ck8Y+mymqXRSbraJD1nGSzgIzzFKPZLPKT9hRp+91I/HnipL9xOxOxz01B5Qu88cSxRLyWTm0LuGKti3QCbiEu2h+1jFVltJdmJiB4IgAwCBwpMl7ZtpIJH1gxKtkQway0JHcWazyZwStGZtZDjQXAisuqLIpqeE87tXsBEoP2FGl7pKzCjyyBkS7IJnbGlJJyQLUOtM5Qs1jFNUwRNXOMWEFbU3cn9cbaPVkG51k34+OzgrESx5qFQZXYUlqFJPYcjg6YAPiEY4Do+KArmtCXlwiNaBCH8pTK81N32AoxWWA/HwaKDLcNllB0fu8Zr6MszcX1CV7FrvIaS7UNVGbthewGGuNZOBDY13reNUMZ8bBkug9DQ/E/sr2CanMh5Gik5cDymjepuSeCJjSPYOV7DWEWkKYXOTEXATSdLdmij4PEKwio3KtW46FsEi10tlnSq3zEeGorObUuCUmDLUJm17FEUWLzAw9DYRFayfd5fMoFcklWHDpWYbkUE/oLZEbqm/oIt94+547P72wtEdVRY6WdoKraNVmFqCua3pWSadZdsKaNKLY8cl6godWcVibZHYPCK2yjT9DJvMzS3LYkjujKwvQDbxyqsjYsiWt8oKNQadZPsWhEa2rkAYTVdFKqqSENfN2BBzEOv9GN1XwFuwFjlgNAJgdlkCJmm0DMpaGi7RSiVC4DhklMXVI1xn7OkqWHTUAnbRisg/BqIoKklaeAtx3ZhUWcKjhewsZNnK6KWEUDzvnMAWyzqmtA7ChafSC2mrilIGEzD6gUEpy1o46QB0/4RSiNBJgtsNZVlYpwpgtQDib369lmzZuH3v/891q1bh1/+8pf45S9/ibVr1+L3v/89urq69nh7119/PR544AE89thjmDdvnny9p6cHrusin8/XvX9wcBA9PT1TblMETNu3b8cjjzwyKcsEAJZloaWlpe5nf8LSWXrO8QncIOC6H/YQidXjSNnBn9YN4bcv9YHyKjnZMiDi+UKp6NekYuncHFRFgRMQjFRc5Lij78u7Cqi4Pua3pWSeWFDiXS0WNFXByu3jMDQ2OIr8vq4yutTUVIyW3QleSzpvPCzaH3gBrdM0CbZkLhf1DhRsBBGzPrFCTxgaCMUEqnqk5AAIB+GMpaMjY8q+VFFPGy8Iz10uaWAOZ8/KdmgqSCJi2XohuBoOiIRi5fZxGZgC4eQ0WnblIBdlmgilEyjjkmSaQi8lYa2wcagsB7RCzcNQ0ZHl0uKcCAd2cZ3ntSXlcQuLChEgs+vIg6akgYEiM8fMJQzoEaZPsICNKbrGFbMIhv2ABdeuT1C0PfiEQFHDayGYJnFOLV1FMhKUTDs9x/VMALNREJYK4v5xfSJTD2LSFOk/0chWiLhFAFh1A+nILKrcCKFI6WH6rOR4dTqujKUznZ7HUp6MtWHne21/EdtGKnIVXXZ89PH7OZcwZbpjB2fCFDBvsv5CjQUbOnOnHirZ6C84skBCsCTNLAdEC5GMpSPFqxLZsYXVagC3AuBMkzgnXkCk9YRwLxeTu7j+PqFY0JaCqiro5/dM2tJlgL5lpAI/IFAVtg+Us2Uet7OoeT5W72JBgBcQjPKK2Ea9Ti5pIGmyFLwI2CnX9YjqqBbOkohr1zta4SJ/DWcubkfK0FCoeZJhTjd4NAEsmAHYwkE4e2cSOhw/wFDRlvfTeq71O2JWBucdNQs+YcaP4zxICvvMRRrr+mHbED8g/D5jL5hNgiZ2XVj68+FXBnDnE1vxQm8eLk/TC1uUyXySGiG+I4gEFQEJU4ZbRyr4nz9tkuOB8GQT4wmTUTDbhJEyq0Qd45mFvnzouK2pCt5x4myZxhML+8Yxo5nOFmCLQF1lC3zbY/YmNY85yqucBUwZwiiULdBZ8jdi5cCf4Tw3Hk0YGipucHgzTQKLFi3CMcccg3e84x04+uij9/jzlFJcf/31uPfee/GnP/0Jixcvrvv7aaedBsMw8Oijj8rX1q9fj97eXpx99tmTblcETBs3bsQf//hHdHR07PG+7U+I9JztETgeldV0hFLJHIjVk1g9Rm9OMfCoCqvKElb22QQre6WUYstIBUl+w5ZtHylTw5zWhGSCdoyzwb0nl0TZ8bG2vwhdVZFN6Kh5vnzYkgazuB+tuNJXQ8ANAm74xlZdLD03kWmaKyd8NokIvY8YXBNc0yTEnAIjZbZaEhQws2owkdBZWjBqwGZ7vtxua8pER8aEwU3/ZK86P+zXV9f3SlGk8WRfoYZNQ6U6J+JoWlJoIRoZq5d3FersIspNNE2Kwkw92UTOHr1+zhwBSl0DUpFeEoFb0tDRmbEQkLA5acVhbIqmKmiVaVGK8QqrOBTsSzsPKER6pbGdiiyd1sISeYdXHAFsorT5wCfOU0vCkEaOIg1g6aFJY9UN6s7bZN3Za26AP28YlkF8LmnIz4nr6fgEbSl2Xw8UWOPgGt++GFTFeXYlu8K6o2cSOtrTpiwSMA1NVpuVah5aErpcjGQTOkvrcG8ZVWUpo6ob4JVdBRnE6JqKrcOshN0yNCzsTMrKsi0jVekbVeSTvMErpljqguvbVOFCz1PKTYTg4px0pk2Uo6J6j2CEi5dVRYGuMW1IlRsYDhZtjJVdbBut8PGDOZwL5mOIl3+7PkFn1kTG0uH5LN2btrSIUWMVPmHBfsrUEVBmByCYk9GSi5aEDkLY4m2s4sLziQx+otdfBO6ielO23PECKVGIuktv4jqyo7szWDIrjaSpoVgLCzuiix72rIWCdSaOZneqpasYLjkYr7rYMFiSLC0AHDc7i7a0KY93y3CFMe0NfebEsQgrBC+g+N2qfry0syDZu2YwNBXr+kv4v2e2Y8dYFS0JHR1pC60pQwZOk7UxaYSqKqyTRBA+l8KHDwgD7L5Cra57QMrUkDLZeFlfwcrMkEfLLgYK4bMHsOf46K4sKITI3q+TOQgrAmBiAFOyfeiC6fMDxty64TgFsDExIBSeHzDrEgCaqsrAUARk41UPJk/5l51wEXtYBk3VahXXXHMNUqkUTjjhBPT29gIAPvrRj+Lmm2+e9nauu+46/PSnP8Vdd92FbDaLgYEBDAwMoFbjFzGXwzXXXINPfvKTeOyxx7By5Up88IMfxNlnn11XOXfsscfi3nvvBcACpne/+93461//ip/97GcIgkBu13Wnd4PubyR4ibQbsBYUGd51OqDAMB9UxOrd5+xT1G5AaIKEqNjQmNjXJxQZi7FYgU9ACjtACKtuW9yRRkvSQJY/GCLNMTuXwAu94wgIRTevBnK5aR0AmLoiJ82Jomoh+FNAwUqPRVDm+kSuorpbkkhzg0fRWDJtavD4g5c0RCk1lWmvKneg9nwqe3MZmopc0uApFALbDyQ7UrYDvsplK820qSNpaKAIXc+l9oYHrVHIVhBOIPVmImiKpiW3c+dtEdQc051lgaYbYD3v6yeqUgC2Qt8xVsWKDcPYwV2gVUXB6xezYgfWSJXIqhIxYIdNZoWJnIruFku6+1LwBsOUDXYu12Q9tWmUn1MNuqrWVTSm+MQ8GdNkCKbJVOH6gfR10VVVapoE0hY7h4JmBzjTFHFXjw7Sjem5gFC80DuOO5/cijV97Lx1pE3MylosKCQ0EjQFaE2ZcLg/10s7C9g0VGa9G3UNGd5njJ17rm/jRQRtSQOmpjKmjAtg21Imt6gI6oJ8S1eRtjTO0jD/I1NT4fgBxqueNEMEpRiuOCCUsagpgwXzhADDZea4r6psAukrsN8zFhPiE8IaoQrGTiwswma8VJ5PaTfQwpykRTDi+IHs49WRMWFIdtLHpkHmgq6pCsarHkq2JxdZSe48HhCKkbJwPVcwK2MBYNqm0TIzRlQUcGd0AlNj15UQCoMv9vI1l7ds0pG1GFvg+MwyQowd0UavQszfqDG0eXCeNDReWcj+rynsWW9JGsglTSR5mkcE/NG+cxWR2uW3m/DyInwxIs5bf4F5EY3xxuJLudnl7BwT2VccH4MlR5rGRlPuZZsH6Nye5JX+AqoR9qMZDO5yTSirzDx7SQcoL6YQQX6hic3KZAgD77CaUSwcy5GF6FjFlf05kyZrfiy0QeKRTFtMR1vzfKzaWahL7QHMmkXhuq2qF2CszNJ7u/I1fHfFFlnt1igEF1o3k6dHBXMbNXsVpqNuQCUTHM2kiEXcWMWFydN5FSfMrhyW6bkbbrgBq1atwvLly5FIhH4qF1xwAX7+859Pezu33347CoUCzj//fMyePVv+RLfxrW99C3/3d3+Hyy+/HOeddx56enpwzz331G1n/fr1svJu165d+M1vfoOdO3fi5JNPrtvuk08+uTeHO+OICsFdn4mPDe4+KCY0MWl6PEUSZUZG+Q1saAoqbsDTIqySjYI9KJcUf4r/Hb0aF+PPcjXU1ZJggx+lGCzwQTdtytTS67ipWLQhqKaqmM1TPzvGa3U6okaNk9BYjY6OYMP//iPoBmYp0ZOzkDYZeyF6YuWShpyEdW766AZEpuhGuDbE4u0UxCCTSxqwDI37T4XMVtFhk6LJz4VwkgbCsm1xTqOrVAFxVM2Cpqg4f8cYOwciAMskdJw0vxUA8OKOPKtaiazqMpaOJzaNoHe0ivUDrCfWgvYUWpK67J3GtGWMSs+YunTUBkKmKWFo6G5JyMpJTWFCVTHY2R7BnzcM41fP74IXsHSW6HIv2DDB2OUbxODR6jmAD84BE+iavL+YG1nhsuuiwTKYjYHHz7tgZgDINIFAlBXcOV7Fz57ZjuXrh+F4rDjh+NktOKo7C0VRmB+V69c1/GxLG6i6gVwwVFyf3fuGirTFvI/E5Ohy7x8AmN2WlA1r3SCArqno4efR9UndAKwoCjoyJg8Q2SAvRMUAsHWEC5n9AD5hHmMJ3rS2PW3CMlTWf42nqAo1Tz7PGYsZjwZcIE1JeF7Kjs9ZFv4avx4DEbuBYs1nImcetAiNSWfGDA1JvQB/3jjCKvU4C7h1pCIXO60pQ1YIDhRsVJ0Ar/QVsDNfRdJUoanA8vXDMDUVnRlLNi42uWO5x40nK66Hss3atLSlTbkQ8wJWASzOaLTJtzAQFcyKmCAdnp4Tk69kOwwViztZexPRDcD1A4xzpraOaRKdAPj5W8jL8APCGiVrPEIdr7pYtTMPSpmRaXvEj21eWwpeQPDc1jFmC0BpneUGY50Ymx9lV5u1vRIwNUUK2DVFQdkNUHXZQkSwwI2FP1PBMlTJVmqqAkVR5Dghii4ShsaMKiOBsmguHA3I21Mm8wnkcon1A6W6czpecUH4dfIDinzNheMF6B2t8gU0uzcbheBlh1VVsqCJVUHKoEll93gLd3oXCz1NZUG5wkdhMR7lq65kmkpO2NewmTfUgcReBU333Xcf/ud//gdveMMb6vxpTjjhBGzevHna26GUNv25+uqr5XsSiQRuu+02jI2NoVKp4J577pmgZ4p+ZtGiRZNu9/zzz9+bw51xJAwNqhq2u7AMTa5uhsvCzTVkmmoN1KpYvZiaBj8g0om5aDMDyS46gotLTFB/irIBHheJdmctGVy5nOHyufYhZWpY3MFaFXhB2IICgDRqGyk7datHsboR7xS3gv/M/2Lp0G/wroFvw9IVdGYs/uCG7SNSPNgxNJb/FoO8mGzlSolPCOL81DFNni+DprLtwyPMbkD4t4gu5SK/30wELiD8aKo8NekFbJDxA1IXHDKxryN1Ir5PsHRODrrK2kn0FWx5XtIWo8X7CjWZ7uvJMdNQz2dMGWstEIrEM0m+apdBU8jidLck5GBOKRPOU7DJsOb5eGLTiLw+CSNsSSEGQz+ymoyyho2apoTJVrQ1HpArChDw8mTB0En2gQo/mzDgAiZWQkaDtAdW9WGk5CBparjguG68fnFHXaubilNvd+D4AdpSJmquL5kZl1eECaZJUcKS+Jobfn5+W4rrjQgqPHXQxlvl+CTUqQjMyiZkRaiofjM0letxmDWE0BG2JA05CXW3WEhy7YXtsaBp60hZBmaWzoodRPqw5LCUua4p6M/XpNu9OFe2F0imdm5bUqaKNJ6SFyL21pSJFGcNto9WMV51oaqKvPc3cfdxgKVpe/izvCtfw3Cxhi57G3L+GCxdg6mxCXdtfwlzW5Oyr2TC0FiFqc9SdaKFU0fKwkVLeyS77AcEFZtiUeINWJJ8I6I66tYkC1CEiJ1yHaRIG4mJSHhlnb6gTVbnjldcvLSrgPGaB4/rbJjXVSBdph0vgKYw8XVn1pJWA4WaB1Nn6fey7ctK10WdaSiKIlnh7qzFix+Y+H+waNeZYQrmuCVpwCPMuX6oaE+adhawPSKF4yNlmwdxCnpaeE9AJ6hbiE4FUeVLSGj9IZ6rvryNF3rHUeMyBVEwkuIBJxPfEzmeJE0NLQnWOsgLCAo1D3/eMCzH/dGKA/Dgm4IxSIMlh1cghhWQE4XgXNOkq9xMk43VIj2sqyqySR0BZYVDwpojaWpyHhH7OF71ONOkHf5M0/DwcFPBd6VSadpsMEY9ErrKK4+onBwDvgoVQYNMzwVh1C0wXmWrLVVlq+uWBEtF+dxr6EPuz2BQvtJWxuAEASqOj27ONJUdHx6h6MklUOU3f9rSoQqBIk+5CN1B0mRVRTXXr3MZFgNJnYsuIUiu/RUAoCsYwPxgB7IJQ652+go1jJYdmSpKmjqSvP8coRQjnEkQ6QfxUAo6viVpyMaqVTdA1gr7fvkBZZM5FyOLKqxhvioKW6g0c7ENu8eLa0P4akgEQWJi3z5aQbHGRLCPrh+CorBmmwCreIyKwLcMV7BrnDlMBxQ4fWEbXyES6QyuqKy5ZcrSkDIY/e8EFF5Et8XEziarUuTeWxTg+gENfQUbL/cVMFi0pe7C8YO6oKnm+qEbfMQZPFo9B7DB2eFBHWOfmNAYXEOjKCzYTXFxr9D2sOsZ+iBFJwMxuQQBwV+3j+PFHXm869S5OHFeDk4Q9ugTny1GRLiOx3xa8jXmPF9xfKZr8liwJgJnwZQV+KpYAdDTkmAiZEJRdlnqoC1lsGodIooYQrSlTClEl02J/QAqFF4eT6CqCjp44CWYwLmtKZmK8AKCgBApsJ2dS8Dlq/yxiofxqouq6yOTYPe9sP4I+4sFMn1m6So6MmZEBwjelsKW+2tyPdVQ0YbtBmhPm9IkcOtIRT5Ls5IKFtRW4/SdP8bSFR/G51/5W/zXyL/gv8avh+bXsKiTMTRPbBpBZ9ZE2WHBUWvSgMrZV1UFyrYHCuCkBTnMbU2iJ5eU95ztUSy0zsURqTfCdsNzK722eAAnqqEID0DFOT+mpwVXnrUAbziqk9+zgdTciK4JVZdV/f7g8a249/mdqHAvH2G4qyiMZbZ0lQfZCgydLcpW97Gq1WO6W/i1JZylUqQEIiCsBdPLu/J4+JWBuqKGXJIt/rYMVzBacTHWkG6MouYGsi2MrqnYMVbjGk0VCzgbJhZO00HCYAwwpaEzP9NpUuwar8rWParCdGusBYoGl9+jiqrIMbsnl+SpWiCTYAvRneM19BVs+LxaTuEV2yq/J3eOV3lVKpVjZTNNk6aGbYEoQjE5Mx5VkEuYIPx5cHgQGW0RJhZsNTeQNijCoBmYXHh/oLBX33766afjd7/7nfxdBErf//73pxRox2DQuQYpIBROQFBxfWn0VXZ8meJhDyo7t1GPIJGWEbKclKWjI2OBUoqF7hZcGKyQ751Fx5iVQSRoYsZ9rFecNIrjWg5TVwGFDWiijL1Q8zC7NYmi7eP/+9MmxnSRULejqmzFpqsqitueR0spZBvnDK1gVUmmxrUZrHlmLRLAWNyxmlAqV9ci/SAqKryA4O5ne9Gft9GRMRkr5AYyIKg47JiirTwkQ1apZ+/EZ9b0FXH78k3YPFySk78Cdj8Ltsl2A1kpd9xsFhj1jrEVvc91FBsHyzh5QSsA9m9BXWcSOtb0F9CXt6URaQdnACpOaOEg5u2WhC5XXJRSjPI0AcAoaVUVTUiZASM7FpbmW99flOyDGzAdm+uTOhfvqhvI9MymobIMIhsHoyRnmmxX3A+8NQK/31gPPQVJg2kT/AjTZOmq7HnoE87eub5cma4fLKHEqz/7RSUcDx4FyxDtyA4wtlVTFHbfEuZALvzImA5Jl98NAKWaz1ewLH0kKnSqTiA1TQC4GLU+aBJNacW5FQUbKUuR7WCEYSsAOPzzizpSMsjSeFAs0JNLyGbaqsLSVmXHR1uKBV5CcxcaixLZPogxAqyn2Rs3/7/4et8HkSYlDHCmsC3NAhqRUsommIarI23KUvtdBRttwQje9eSlmPfrS/DG7f8fFoz8BWnCtGStJI8FzkbMb09JIT4T3AcICEvhi/0aq7jwCDuOk+e1QlEUnDQvB0NTQAizpRDPS1QILhhOwYYzNjXU64kgOW1q6MomkBRu3yQsjoHCWMiaF8AJWCPynfkaS6UHAdfGsHPYnjJh6Rq/1xgz5RGCvvEqFED25RPPoFiMaKqCRR0pWNx2Y01fET95arvU8LSlTFQc9v2U0gntnKIo2h4oKF+MUPQXmJt/ytKwoDMJgAWa+WnaDlg66/0nLCUANqaJ/m4AsGRWBglDw1jVlW16RECq8nOuADiqKyODME0BOnmxiCgiKdk+oDA9q1jk9Y2Le4Ky9LWq1Dn3AyxoUhRF+umJ4iHCS+R0VUGLEIIHlKUrOZsUMk0sDbh6V0FWcpcjTFMzQ80Dib369q997Wv4/Oc/j2uvvRa+7+PWW2/F29/+dtx555346le/OtP7+KoE86pgwQklFG0Zg7dfYLqNsYqLV/oKGC7ZIIRivBI2kBVeJ9Hqs54c02lcXbsTKii2G0sAALPA+kh5hAmqU6YmNQDRTthJQ5epBEpEnp9RyKNlBwvbUihzF+XtoxUZuAkzOYVT431//hEAwAZ7CLv6l3MTOR0L21PIWmyifXbbOG+twbQxFk/1iJ56YnUsBoe+8Rqe2DyCFRuG0JE2QQFppAdAsmfREvJuHvQJ2wGZnuPGlj/lupo7VmzBSJm5E4sHV1NZdcl41ZVVSsf1sIG2L1+T+2doCtYOFNGVTWBuWxKEMosHAEjqKp7YNApCQzGtQMn25aQi2MTWlAlT03glZVjlpkU8X7IJQ94PYxVHMngv7CjIyV6FgjIvla+5Ae5+tleuErtbEnC8AA+tHsBdz/Si1qSU19LZsbs8iKY8dRkGcOx9KUvjQnCKiu3j2p+uxK+f34mEwYTkJdvDpqEy1vaXZJD81+3jbB8VYDPXt4l7sDMSUBYbJhI2OfhsEFUUuAFFzfNhcc0GEDJlxUi1WEvCkAyhMDTMJkKLj0aBuh+EffJaUwZSPICsOAE8wrROhFJQKNzgkH1+UWcqtIxQ6ltYzMklZashYfw4VnElEzpUZNVsUQPDoZLN0+a8EWzVxQmDv8HsYBeOrr0gGenWpImtIxXWH05lzVgDSpl3VcqAH1AM5Gt4R+VepKo7ASuHbbPejHs6/xWfyf0XXk6xgppjgvUICMV5RzOGZ11/iU9SFFnuY0UoMwplTtsaenjV2TGzs7B05hfnEYLB6iDK/jBjpKgIQJn/mc8NLaPnPmFostxfMJWiTyPlJfGGxnrflWwPNdeXE1eVi8AD/oyKZ6yNa8xKNhvr0qbO9GNugHRCx7x2bknCn0HWq5ClbnOcWZudS6ItxYLIp7eMwicE7RmT+9mx7y/YXtMm60BoJ2BoCi/o8bgeS8fc1hQvpKB17X2mgghyCF+gsnuFLYhFlWPW0tCZseBzm4CUqYf2NGBjZsLUsKCDeV8FPAjLJIXNAnt2yo4PBbx3JmdUdxVqrEE7YRmNxuBFLNQAIJfg7uT8OWbMLnhbLg0UjMUPAtZuKMEZdoAF5y/tyvP5xpbPn8jKHJZM0xve8Aa8+OKL8H0fJ554Iv7whz+gq6sLTz31FE477bSZ3sdXJYQ40efamVyCdTsnhGLTYAX5iisn8KrrQ1HAq6/YKpWQUEuUNFjbkAX5Z3G6/wI86PhO9mMAgDYUoRM20AV85S8cxLtb6pkmx2e9lgjYjTu3Lcm7mIfNR22PtWQZlboqVQYVFcfFvJ2MgfxZ9oMAgLmll0DKo3yiUnBkVwa5JBP1bhgow1CZ0NbUeCuZGvNC8gmV/jMA0F+sYajo4LF1QzA0TZa7iwyQaE3CWoawAaA9bfLqJyamjzbrHa+42Mn1VRWH6SbGq65ko0S6QTz0aUtDa8qQlShRJmzXeA2FmoeTuSB8bX8JwyUHm4bLGCjUYOoa5rQyQXIQUOSrLl7ckYeqsPMn0nmCHdD4ZDEWSVFGy+IJ18RUXWb5MFSyMVyyJdvnBixV01+w8ciaAazuY2yXy0v3CzYTgo9VXPxhzYDs1yZYPRYQhIac4j4TrIwITlImG+j8gGLTcBljFRd/WjsknXzHqi6Spqh6cjFUtLFjrCrbxewYq0ltGAB0ZtlAy5imek1UX6FWX6lEKSo2a4Is03MyaPJl25qWpB4xGCUAWDm0wY9rvObW6ffGq+K5YymetMmqPl/eVWQsJIW0eggo5L0/pzUJkzNwlKfdxWTak0uwrvHgZrSUHaOlsaIFxqbYkVYqBLvG2USatXSkDBX5gS1IUt7zztkG2xdB6BgGCiwlOytrSQZAVRS0p02WzioX8NYq7/N5+few+o3fwS+MS/GKehTGOk4BABxPNmK86uKIWRnMbUsytjLi9J62uDaGH5OmKujhrOWsjIVc0uQTo4u13o/wVOF7cIgrJ2xFUWTxh+2zZ1UwhQlDk0yTCHoUJbR7sD0m4NcV5n1V8wL53LsBYz0UQOoP1/QV0Z5m3lkiLZzkZfeuTzC7JSHTRyJoKvBej4s709LgNCAEf//6BejMsM4IwyUHHWmLt7BiO1Bzg0mZIhE0mdz6pMTfl+SLXF1lY15jd4PJkDBYhwdCQ3d50Y4n4AtGN6BYOrcFhLCiooShyAUL5frDpKGxnoAGC16iVc+FmodizUXNYxYpbWmTpTYDZsxadVnLLpF2jEKcy4ShhbYNtTAb4QWM6U1GGjNTMLaULY7FQoRE+pOq6B1j/mhi+5ZxGArBAeCII47A9773PTz77LNYs2YNfvrTn+LEE0+cyX17VYNNjJBVBAlDlw0xNwyVUBSpG4APNATbRiq8cg4sZcLz20lTw9xWCxf1fwcA8GDib7FOORKuwiahWRhnBpUVRwZJCe6oG01ZSaaJ37jZhCH9VfoLNkshUuYePMarWITHEqEUPSPPIOuPoqa34MnWi7FZWQgVBEMv/k4aK+qaijcc1QlVYRVQ5KVfYunG7yDBHZ8LtdATpD1tyRW7LP93A7zSl5fnSux/zQ3C6jkhHk/ovOIkQL7m1qUEX95VkD2NjunJwNQYHb9tpIISr05zfSKFx0JsvLA9JRsJi8kJANb1F3HErAwUBejPM6+ne1/YhYGiLVOxwyUHD67ux7oB5siraypa04ZkDWZlLN6lndHZIjCL6gbSJqO2g4AVN6iqgo1DZen9VHbY+RspsSBwqGjD81mJOABE18QVx8fmoTJ6eU8wEXQEnM4nBDwIYO8XomfZYFUwTYTIdJpoouv6BIWKJ/v4DRZr+Os2Zm3RnjFZiT6lWNtflNc2ZJoCFBvcmFfvKnDGTZVpUZ8vBMQAbWrc7qDmcqZJZTYbwgaDr9JVNSw+KNX8OtNWlvZi6SdLZ8xszfOxdaTCgj3OGng+4Y7KLP24ameBlXGDBVGi5L+DV7c5fgCL1PCB4F50YByEUOzI12QKvC9vy5W77fkyZdfVYqHqEagja+U+zna3YcNAGWv7i3hmyxg0lVX9sbQoY4EAIJc0UfMCvM19FGlaAWk/AjjybbB01jTaCyj82acCAE4gGzBWYTqW0xa2sSKVQDAUlPtysXOvqQo0RWHn23egKApjpbkWUFRUlm0PW0cqGC45GC07yCZ0+AFrBCvGtDQ3FBXMYrRKOCH0lwG7lqrK7B8cn2mbCGfsto1UsHm4jIGijcGSg4dfGWALChr6dulauG8iDQyEHk9CM3pEZwZzWpneKM/b3yydm0NAWNup9pTJ9IQ8aHN80lTXRGno9p1LGixosgNZCSyedYqwL9zuYOmsRyahYcBiu0HoQcYXiCfNawMFf47sACWbtalRwMb1pKkhaWqY1cKsJgQTB7BAbwdvCq4qjG1L6BoCylrYlGxPVj2L7gD15zJ01gdYuk8BYKjMFFVTFZiGWJyxZ1I896IYSKYHIXpH+rz3YBiEHkzs1bdfcMEFWLZs2X5vbPtqhtAjMX8TAktj1R6EUmwbKaMiKtMoC0z6xmvYPFzGb1f1YaTsQFPAVrpgK5cjBh7EPGcTykjj15n3gwAY1xjV3q2MwTJUDBUduYKXWiAZNOkypSFYhpSpSa2UMOkLCMVwkQ2CASFImuy18YqLNzl/AgBs67kQ1UDDc+YZAABv7e/r/HDmt6Vw0rxWdJBh/M2mL+GYdbfhaLKFV4Z5snKuLWXIoCjak2v9YFnqfqq8NL3qBrJxsGiV0ZIwZDPekVLYdDJpanihl6WJ2tPMLPOoroz0o3p80wgGuX+SWC0Ky4OFHSlWWl3zYGiqnPTWDZSgKmxVXuEBXMlmjGAuydgdLwi9pdpSJl6/uB0L21JygBCrTxaIUVleH11ZmVzQKjqnM9EwC2DbucBZ4wUCGUvHnDamnRAdF6L9qDIWMyzsHa2g6vph0ETYRCNYPtlWpoGRSpuGbA8i/GbEuXZ8gqLtS9ZvuORg7UARAaGYnUtKQ8FXuDBXVZjWiKXNwp5rIl2zfrAsfadEDzyf8MpPfn7EfgqPJstQkTGZTkwBQHlKyPVZaiHJbTDGIi0ihnjzUoXrL1KWhuGiWHmHKSOb65tEWf8zW8akHk3jPjXjVRezc0kQwliVq/AArrF/hI/S/+PpV1uyB71jFck0DRYcFG0PqqKgJ5fAlqEyOiuhTnAx2cF0OgkdS2alcfrCdszJJeFwobQIsjVVga5QvCdg7K9y1rWAyiYhoRVxZp0EAgU9GIGfHwQhFIs70tC5xpCNTxQtSV1qT1SFsXXBhkeAr80BHvwsFnWkARqmPEu2hzX9Jdz9bC9++vR2/Pip7Xhm6xi8IJDaMptrEpOGKq1GopWtSV415RPK7xeWFtJVBbsKNl7ckZdGtEwfpUjGZG1/UYr0xfMqmOlof8yKy9qruNx8cU5rEkvntkBRmDmp7QWY25qUhqgFnh4UTJMfkLriGIF81ePtUtg1ZBYeLGPQmbGQSegwdXYv9UeacE+FBDe3JJSiJRE2N44yTY4foDtnIWFozGx1uIx8zeUBGjuGFK+GFC2pvIDKPn75movNw2VQyrbXk+OMFGULIuaJxf35GqIHMY61JHQZ/I5VXei856YbsIBbMM2g7F7pyFiyhZNPWGAngujWlAlDV/li1sdwyZHn/mBhr4KmE044ATfccAN6enrwnve8B/fffz88b3pithgMwgEcYLSprqswNVbls3O8xqskKNrSphQxrhso4bltY7wkmm1HVxWYcNH29NcBAP9nvRsltYW1K1GZE3o3xmDqCoZLjmQ1BD0t2BfWLJFIpsMNqKzcKdq+bH4ZEIqRisudrYGE8PaBjbMc5oP1UvvfgFCKValzAACzBh6HSsP7oz3NVt/vC34PDWxg6/F3gFB27KIsWAyAuqrU6R9qboAKFySWnUC2/BDsQNgIWJXbEMJWgFXJbR9laaL2lMlWhApzLbYMZg4qGBMpUOXbmd+e4v3WmJvtaQvbYGjMUI41E2W+Wz4hmN1i4eQFrTj/6FnoaUmgM2vixLmtOGV+KxZ3prGoI42qF/AgQEFPSwKqqsjKGEFRR5kmIeoUouzBogOXB2KZJAsSRbDYmTGR0DkVTlmgVax5MoBa2JnGgvYUCGUOzH9aO4j7X9yFaqQMXFHCiczl7JYIThjTxCaycqQjfF/BZnYMhCCXYs7hI2XWNLcjw+7neZEmro4fcJ8gVpEnPKJURZEi5G0jFegaM//0AyKPv+YG0pFZBk3VcIWv8nSnpqqAosBxPZBiHyxdk/e8CE4ppRjIszSnrBJUVYxVHfg+E8wKJ3fbD2TrEsE2Zi3mWq6ALUryVQ/zWhPI8yDlJGwAABxHNrJJjLDqtud7x/HIK4NYO8AcqzcNleH4BO1pE20pE89uG8Mcd5s8v4vRh5yl4O/PXIBLTp6Lo3syMPiEKTyzBE6qPYP5tB9lJQ3lpPeD8FQgoYyZqKppDCcWAQAW1NZgsGRDVRXMypgy0NQUVqJ/4tycXDyktQDWH28AiA88812cnn8QqsrYYiH0FmlQ4UTP0pZECsWF23/a1CVLEdX9JU3mz+MFBEd2pQEocsJiffFYyjOXNDC7NYE5rQmctbgNuqpgoGCjwqvsCraHnWNVKcSPVnWWnQDjVRcKZenDbELHCbwdle2xal/bI+huScDUVGwcLPEG05D33QZu2BvFSNnhKSxFVgeLijP2XIaNwQdlV4CpwQIhCkLCSt5Q00RlGjBrsWrqgDDmfKzsQOPzjU9YY3dVVdCZNXl6ncjz7ngEW4bKLINhMJsTwYBWHJ9puPj5a6yUF4Eva0ekSu2erqrQePN4XVURUMj0uOMTdHAZhZBcsAUXC1hPW9iKjKWj6vrYwhnFu5/tnbKX5f7GXgVNt956K3bt2oX77rsP6XQaH/jAB9Dd3Y1//ud/xooVK3a/gRgAC7TZCkFjZaKWwVJOg0UHXsDSCAldw8KONNpSBraPVqRZnmADLF3Dyf2/gFbcibwxC7+x/k42YhxWmOt0tzIOgFXpiDQN64NGJdPEVt0BVAXSv0RRmN/LWIXtT0eGlYrmuXNwQCkMrrd5E3kGCWqjkl6ADcYxAIBd6eNQ1nJIBCV4256Sh96eNuFV83j9+G/ka621nRivsrYTJdtDZ9bCHN6zLpPQ5X4u6UwzPQlh3dzLticrtUQZvHiYhVkhgLq2KH2FKiqOj2ySVZaVHJ9Tx6pM2/jcl6jEq9REiidhaMiYumxn0JmxcMSsDACWQqq5AUoOo5OTpo6Llvbg+Dk5HDs7i/YUo6FFxYmihKL+lqSONJ+QxN/zTVIWTKxOpTXEOGdVOtLM+4k5K0NW2ESbmXoBwa58DSlTYx42VRfnHNEBQ1NQcwL87uV+bBmuYONACQEVTr2hezohbKKT1gSGBoU7wUd9xAq8ckdRWH+v1pSJiuNjrOLiyC52rnJJA3Nbk7wM35WDdtpijKfHPaaEV89o2WETMLcPUPh/UXNAESznebApquRYNSQwn+zEv66/Bufe/wac4L4kvX5EcCrabai8asjUNQyVHNlfUeVpKYA5WTOPoNCVPpvQpdh28awMjpudhWVoGCjUoAFYik0A2H60aEwXs320ilkZCyXHx6ahEjYOlbFtrALHI5iVtaCqCjYMlDDP2yaP01ACzPJ2yYDS0jUYqiLTVtEK0gtLzAj44cRF+MVL4/jDmkHp1JwwVIxVHPRnTgAALHLWYTtvE8TSKwpUVZWtTv72xNncuBP4O/9h6PktgMK+54xX/h8cr2wDBRt7EoaGk+bncOHSHvzzeUcgY+mwuOam6oa+PW1pE7qmSr1KNGjSVUWm3efkkqwyk7MRosFwytAwO5dEytS5jsvC0nk5AOyZVxXR9oPKQCfakqNsh95frUkDaYu1OslYGgCKl3YUUHI89LQkkDA1jJZd1Lg+zeCmvMKwN4rhsgM/YBWchqbCUENfsG6+OEpZGsAXaNHCgclgcVaSUiplEzU37DcomlrbPkHKYotH2w/QV7ChcIYnIBSt/Llo4TragFLZbJ1Sit7xGijYszgrY8kxwPMJawQugqaG/RNMU8bSpUGu4xEYuiINcoVxsKHyQigvkKL9MD0XYIC7t/cXHJyyoBWEsoWTTyiWdGYm9Lw7kNjr5KCqqnj729+OZcuWYXBwEHfccQeeffZZvOUtb5nJ/XvVglKmFRD9nBKmxprlgtn31zxfDt7dLRaO62lhqQ+eShCpgYwBnNLHHNT/2P1P8LUEAko508TTcxhDQCjrm0Y5O6UzelxE7GmLt0/hPdAoeKPUpIGxCusmPzeX4DoiXhLOB0dVAS4kfwEAbJn9DtQ8XmVlmNiUYxYUme1/ksxaR8bEou2/hBWEg02mul2WtZ+xqANXnrkAIiMnJk4AyKUMzMklAMpE6TvGq9KM0NC0CQ9TF9cvCHdlVVGwbbiCsuPLSadk+3ACVtYOBTz1w3Prjjg/YXoxzdtGuD5rNHrsbFZV90ofG2CLvAJlfnsKx/a0cMdvVa7ShYSfUGYGRygLJMXKUwQpsi9ZhDnwfBGgKLL3lK4p3D+GyHYzoqggXdqCrw9/BBd4y2H7rEt82mIVWaL0/ciurNQsjFUcrO4ryvQN+25WHRnwqpmQyWP7K4xAAUimqOz40BQFC9pTMu1c8wLesoMFOEf3ZOEFzBVdlJhnLFblJJq4JgyNCfS9AC0J1gexzFOxioK6LvFRITgA6fgMABf6j2GZ9++YY28EAJxW+TOySRagCfPH9QMleAFl6TXO+o5UHEBhncwU/jwCzDMo4IyjqGxMWyyNUfUI5rUmkE0YGCm7GC456AoG0ArGSGggOErZgfaUyaoXA4KF7SkYqoKd41Vs5+meloSOvnwNI8UqFtKd7F7V2wAAc71eqV2ydOYD5HLPIabrU9FT24jjnVXwoeJ31jvx1+1jeGh1PyilmJ1LQFEUjJQcDGSXAgCWOGuxbYTt41iVpZ8tg7UC6cvX2P3mEWRRxRWVu9iJfcc3gCPfBp04+H9xC7Kogj9G0u0cYEGYSPnVPB+2y4oM5rUm5b0B1KfnxDNvaApa06YMUgJCIw1pVR6082czoeOMRe3QVWZmSSgL9j3eJzNlsGdXeGjlay4ziwVjYFKmxjVi7D5d019AyWZ955Z0pqEoYr8ockkdgIJd+doEpmik7PKFHHNaD2hYtCJ7QZosnV7ziLQLmQqWrnHLASbQBhjjWeIti8T9X6h5SBoacikTxRqrRFUA3jA3bHac4mO3AmaqnEuxAp1ijemQ0qYuNXmaEjZFl0xTQ9gk2MJsgjH2Nd5zriVhIKCM4dd48KhxGYjrE7RzrzGRnqs4YR/RUs3D8bNbkDBUVF0fJdvDaYvadnuu9if2WVE1MDCA7373u/j617+Ol156CWecccZM7NdrAJQ/0IwhmdeaRFJn2gvXJyhUPagKW80kTQ2Xnz5fmi2yKggWcJ0cvIysOwiSaMXm7r+RTWoDQjGqifQc60dWqHlwAsI9UxSM8nJ6RQkNDVmFjwKDi4pF+kjnAkbTYKvFYs2TupBT2h0cX/0rAGB1x0VswuTv39F5HgBgydhfUHUDRk0rPk7oZYPu+syZAIA5pB8pU8PslgQWdqb4ipCX7KpMnKwqCo7uyiBl6pydU7BxsCxTdYZWb5IGAF08by8GYFUFtnOTOTGpVvjKU1XYA6FAkQ2EhfgwEwmaND5JBlxbs7A9hbTFJvf1A2VpDDonl8CC9pTUY7XzFZ6g6RP5DbBt1mCTpSzZ4ygmYZHyirYN8AIqJwidDzKmrklz0JTJ05P8Hnnz8E+xyN+CK9x7YbtEVlot4u7v20eqyCUNdPCBnJn2ObC9sBF0NK3hB2HrERHMCXGqpirobknIYFxRFbSnwwa80cIDy1BxVFemzpsMCNPErk/QkmDsBEt1AJ1Ziy02uNZGQb3flfRp4r93ZkzAKeOclz6Pz9q3IgUbowbrJnB09XnkEkygK9oSbR5m187kPmouL4cW94NITVJKeVsZ9gwK9kl4ZjlegBS/X8oO0+gt8dbX3ZfHkC3oziVkZaepq3jzsV2ouSzQSBiq1Jtp+S0w4cFWLDyrsmq3haQXfsQqQudMk8fT6oau4rR+1hXgcf1cDKkdGCm7GCo5KDs+FrSz65+veRhqYUHTEd4G7Bxji5DhksN7rako2j42DZdZ1S6l+Cfcgywpopo7Cjj1auBd/4uCNRsLMIiv6d+HygPskh29NmyCZlpEVqpv6CrmtycnNUsU7HKap5sMjbGLjhdIzZumhmJvgDHCGUvHifNyzO/ODeAFjK2iFLzBMMWOsSoIoejnwVPaZOkysTjqyphQFAVjFQ8beU/JE+flUPV8yRh1ZRNQeeCer3mouYHUAw0WmFWMya0TfFG4oSg82GIBIivnD1PEUyFh8CIIULTw/XS8UHcpFw01j1ewaSjUPO5Qz8Z5VVGk+a8TsGppRVEwVLSRsXRelcuNQk0NHWmTtbHRVHiESGYfAG/WHkKMlVkuBLc9tphqTZm86o/ydjiE7wtAefrfMpjhc0CYmbAgDRyfVW5bmsrmSxq2gjlY2KugqVgs4s4778Tb3vY2zJ8/H7fffjsuvvhibNy4EU8//fRM7+OrEgF/iANCZYPDFO+ZxqoHPClGTRgaFrSnMIevysTKnhCKsyuPAADKR14Cw0qw9AVlItmiMQsA0EnHkLZ02NzvIifceavCIFGTjr9+QDlboaDEq1+ShsZEulCQ4u1aNg6WsHW4jL68jXNqf4YKgv7MUvQqs1Hh3ee7sxZ6284GUXR02NtxSnoU7ztzAfyX70HWHULZ6MCDnf8IAJhPB1lfJ0qlIZpYbRAueDdU4JjZLQgo8wgydJUb8dWkd0mj23crX8Ww1QvrmVV2WPuV2VyMbHtMnKqoCk83ss9WXD+sCIkETQGh0pdquOSwvn7ZBNb2F7ErX4MfUOQSOhZ2ppk4kwds7TxV6BGKEwfuwZm/fwcuHbuTtb7JhmXQQtMktB9RPxTRA04UEhiawo34WClya8qQXkGGV8TJpeUAgCVkG7TaqEzvCnM/0YC4ndsdqArr08aYInBdD9ME+YTUpedY7znIxsvdLRY60iZjgnigfceKLdg2UkHNZbYOz20fY5VkGjOlFE7RYtJI85SZx5kmXVVkULO4MyMnXVFBRClkSkmYCIqJer67BbjjPCzpewABVNyhvg9fnfMdEKjocrZjjjrGTDw9Vsa+bbQqdTYWb0OjKLy5NNfpiAnP4z5WCpjTsrhuCteOiIrDku1jtOziSI/pmQhfnR9Ft4DS0PSxL19DNiHsEVgT3eGSg7GKh/n+dgDADm0hNmIBAOAIugO9+fC4RasYlwd9GX8MRww8CAC4P/FO+CRsbEsopMmppioYSx8BR0kgRatoKW/FzvEqxsosTdmZtaAqCjYPlbF9tIquYADvp78HAGw8+d8BTUeQaMNtnV+ECx1vU1bijVUfKf8kVJ3wWlg8CBTNhUUhxYL2VOgvptTrZKIVdUlDg8aZpqrLPHsMblNi8/J4VQl7H56+qF0+Lw6vdBQ2Bh4h2DFeRcX1mZ4J4XUQ40cmYSBpaHX2IvPbUrxCkzHxmgL57G0cKOHXz+/Eb17sw+pdRQyVbCiKIv3nRM84BeFYkjYZg+NG2uJMBVNTZXGGbF1Dwn6doSM+C5qSuoYSN9iMhjcWD/zzNQ9JHqyUuAUG87RjLHFCU5G2DLQlDfmssQXzxH2NNinPJnRYOnPH9wOK9rTBK1fZvVpzmVu/AkDjz4Ola7LCMV91w2bhfOwu2D4MlRXQLF8/XCcHONDYq6Cpu7sb//Ef/4GlS5fiqaeewvr16/HFL34RRxxxxEzv36sShFD4fMVMKBPzPblpFDYXm/oB0+soYCXWoqpmcWdaVu8EhMAkVSwtMA3Z0JJLoSgslScqmuxENwCgk44iyb1HKq4vc9rjFVGxInxs2GQlmpCWbB+bhspImhra0yYID1bKto/RigsKJrI9o/gHAMDarr9BsebxoEnFnLYkXD2Dcg9jkzK9j6Jie1Cf+h8AwF+7r8B4+kgAQAvJI02roBTIc8+UCk+NBZTiROd5fKfv3Vi0YZlcsbVy3xfhGaVpbHUURTbBmrluGa7glb4iBgq2TM3Na0syPQ+3+de5ZqVoM/M6xwuka3YmUv1XqHq8SbKOrSMVPLV5FK/0FbgoPYChq7BMXWqdBNM0i7M51CnhnN7vAgBOsp8DoUBX1kSLrOph1LVgZcT1F2aKPmFaMl1TuX5FRcVhKauOjMV1HMBZ1cdg0nAFO7+4Uq5KRZPhnXm2Iq55LNBd0J6EF7CScZ8wawODV3aKXnyies7kujhG11MsaGdVVwFfCQaEonesyvQbXBj91OYxvNCbx2PrhzBUtOXkLdItGa5pcrmmqchXtqqiYF5rQop4CQ/eCKXSrdnkYlvHDwBKcczya4GxzahY3fhs5qu4U38PCkoWA+ljAQBHlFdKs8nhkoO+fE2a/6UMTQqNk6YGUIoeOoyL6QqchA3S0RgA5vHg2w1Cg0qhmWFBkyODppeT7Fk4mmyV/ecAZry5YbAMU2dpoK4WCxW+IDgKOwAAvfpCbFHmAwCWYAc2D7NUmqmrIODmo1yLeHTvL6BRD2u0Y7BWP65uMZE0VdlTUFdVUEVHPz8n3aWXmXi46oCCYmF7GhlLx1DJwZq+Aq6q/AgmfKxJnIJdHW8AwLR869Qj8A3lQ/j/s/fmcZbdZZ3/+3vWu9/a167qfU1n6+xkBUKAEEAWGRk0gAuORln8gaKiuCAwjgiiKApxUBBFIOyREEISICFJZ+uk00nva1XXXnX3e/bfH8/3nOoGx9GMyowz5/Xq1wsqVfeee+453+/zfJ7PYgEfrN3FrlqBlh9nob3paMnUo9q2H+FYiuFqLkNW07F0eqRFk2XA9w4v0NIIdko/sDS5349iDKSJcc5oPAZTlDmMSfQYyjIUQZjogtRnpe1jWwYF16LlhXxm90nuP7RA0ZX4IT84W21azlkZN+h03aPgiI3C3QfmmddmtI+dXMYPJYRYLCsiiTsBLfRY5cClzeo/B2lK73sA2zayAN+0wEivnziBG5kiDcTwVk/1+d7hRT73yClqbZ+8a2GZMsq0dKPcDZIMaXItCW9OBUJpsQVwZt2SopzpdcrZwoUL45iBoptl5uUdM/PLSwOoQZ5dUyOU802PWOfk+WHM/pkGfhiRc+RcRqo5wviHhzb9i4umJEn48Ic/zKFDh/jgBz/IxRdf/G9xXv+hj3Ygqo4EMjJczjYgWTUnbAfS5VpnFAKpo3dqkHeV/z2cuEurvJ7ZsnhkjfcUMu6JX5B8wIFkGUcr0FpeSO/3IU1Fx8w2gSCOhX9gKA7NNWl0Q6p5m56CTSlnafKgdCvbR8vcMLhMf/1pEsPi4OALtWeIeIEMaz7R8vhzAVi7+B32fueLWPNP4Rl5vuq8iFNtk2VDZtRrktNnnVc6ngujhMu736EUNzDv/HWu6nwr8/sIo1hnPMXYxg+O58o5SzLL9MgyHU/0FR1GKjkcy8QLBDrO2amZXqw72Dhb/M40clvpBGL4Z5vcf3iRB44sUnBErVZ27YwnsGFQRiCph9FgVa7HRaf/jkKwDMBkfJJC0qav5FLJW1nYZZwk2kV61XlXsr3kc7imQX9BvHPytkXTD7PiC03kf0FXitmakviXDc1HCSIxuBzvyQuPLYh0plucjYJTkmnL02NPHXOTFlJpR5tyEBKtxBrtyYlHT5xK1SMaXSkMLpjoobfgyGKXyOjm73afZLktiGpb+0ulJqt+JN5A801fFzLiuRTGq2n2qXz58FwzK6L8MCYIE8aSGaz6cTAdvnT537HX2pmNMw+WZM2aXHkoi8s4NNukoSM+CrZBJWfTb3Z4ofEw/6X1Z9xuvI07uIX/svIBPq7eQzFc1ojj6vecxlbAqiN4oxtQb3XYGAoJ/DuVmwDYmByn3mpnqGIQJRzUKqzRnjwXre2lkpPPuyE5AcApe11WNE0mpzm1IHYNaUECSrgiYZcNx4Tn+Hn7pYRRTG/BydAJAyk0ijomBshGdKPNp3hmpkHXFwn/WI/LqE4bmN13H1d73yZG8Znen6Wtn48Hjy4SxwlftW7g6+Z1mMTc0voT6u2ARifI7uEgSrBUSh+I6S+6QmL/R3x3ml6Y+UQttwOOL7WZrXel4EhWjRFBh22jM97051lpB0z05mVsrXd3y1QZSTpJYPfRZYIoIWcJF3K21mHb3D9w6NDTWbzT968lYlgqrxfq+9KPYh45tpT93oHZBt0gykZ+ra6kEZjaqiFd18o5Ia/7kaBZ/5iC7lvPzPLJB44T6HFwWlZaeq3zQyFbn6mYbHTCrPFNr22adWCgmJj9Ftbhb2YCDNsU3660APMjoSrkbXFxHyi7GQqdJOh7g7PON13j0v0pZ5t0tXt4X8mh44vdymLD48RiW5vCrho0n0kEX2kHdENB1KdrHfadbugYKourN/fzwnNGzqIs/Hsfz6pouuWWW5iamvq3OJ//K460qk9JjX4Yk7NMDFNhmmkmlshabcMgZ60++EqtwvDP98UXaWHjKzLy67r+gjabhLA4QozCJqQYLeOFgmCl3Jq0k0uNLUEKlPRBOqoJqZuHypnD8GsvnSBvS4fUU3C4YEbCedWmF2CW+ml0Q+GflFyq+n1ODl4HwET9MYYf/RAAd+VeyKGGxXLLZ0oJz2RNIiTV5baHH652qX4YMxEcz67fq0+9jwujJyFZNf/0wySTrJ95zGj5e5SIp1PHF/8bxzJF4q9SRdoqZ8A2JW9NMq3iTDkHZLJ9117NPMs7JjeeO8al6/qyRaDkmhQcSRA/qZ3Ht4+UKYQ1rp77WwBiDAwStsaH6dFKlt6iI993ImO8NOAT5DzbfigjKsA0xaTO1CqjJEkYqeSJ44QtyVG2xocJsPiY+wYAtnUfJ9TxOUopJvuKupDs6ngROxtBKa12mdHcljQUNjVATY/Uy8e2JO8siOIsTK8biBVENe+wfqDEYMVlsJxj+2iFdQPy3k9PN2h7kld1YLZBUas4A02yn693NU9HX88w4ioeZ0DVsPQ4td4NMhPRlvbQOSfcJyc4diENQ9RUlin8qG/52wGYrO3ONp59p+vEiYx4XNtkk5ri3QdfxWsOv5OX+bezTp0mxKCr8uSVz4+oezLOYTpiTIn4kMZyyKik0jxKDo+OyrOveDltVcAloFA7khUtbT+k3vGxTYO+osNDR5eZrnXpLTqsj1eLptPJAE3y2ISE8wezYtEL4wxJ2bJwF663SNMd4W51OX4kSry1/QWGKzl9HXxK7mrRVOs7X57B1j7JliTBsRR5x+byjf2QJDz/5IcB+Ib1XJ5mHU9P1/jL7x5hrt4VyxTb5E8LP8uc4ZBnhn7/BA1PODWuJfdPmukYRgnjWh2bcsLOJBbP1LrY+nmud2VU7GluTpQkGm2K9T1I5lA99NTH4eu/ylKjjaudr9PXNvVoLzVcffykNC79JQcS2LL0LV5y6N28YO87dXGuzkKYSzmL2YaHaRgZ9zSIZAS50PSZ6MtTci1qnYCltk/RFeFCN5Rm1TJlPLjYSosmabDCKNHr3dku+CDpAgsNj4WmRzdI/7tcqTRWxQ/jswwfG16QUSxkMoEO24ZeVvip07/Fy555O82VJYqOrPVtPxKEJ0k0bxDGo9MU7/99RvOrthoJQtpPo5XS40xjy/Q79fX3/K2n55itd6l3pPg9utD6gZDi1E1fKcViyyMIZZS73PL1qFP4jpb5w3UDh2dRNBmGwebNm1lcXPy3OJ//+MfUozjfeR8jncMobRsfxjISsA1D4PJECoEgWk3uburcrbIObB0IZzk32ANAa+urs0p/3UBByN2A6zisqB4ArNaMHusl2JZeKDOjSysbJ6SIS6oSAjh/QjadpZZPNW+TIH4r452DnDcjkubp7W+k4Fi0/IAoSRiuuNm4acYao1vdiEXEZn8fMSb3D72GnryDaxmcNscAWBOfJooTHjyyxAfv3J8FuvphxER4TE5mzSWYScivNX6Pcf8oaP5WGrZ5dr5bwEPHloTrpFGklh9lTuE9BRtTKR1AKqNQL4joBKFG3mL8MDlLOdcNxEPIMhSXru/j3PEqN1+xlq0jZfpKDqGWBJdz4tlzcqlNECXCoarmuXL2U+TiFiedjezOibJwJ4ewdSHSV3T0/06IoliH4a6q1Np+lBUlRdekmrMzVCpOEnoLNspQvDS+C4B71CXszl1JhMFEPEXJn8uCjNf2F4iShIWGmN8NlBxBAZIkKxRPLXewjFVuRhqtAqsKTpDioeTaWQGaBjC3/CjzS6rmbSEIeyE37BjmuduGsqLr0FyTB49It54kZDlvda0Msk2RaF/S/jYfM9/P+4w/AyR6xgtjji22cCwjc4LeEYqDdjJxWRYW7Icxy62A3eFmAuVQ9BdYq40iD803hSdlyTP4gtZXsOMuDXuQzxov4i28g5fm/5rbhn8RgNca38RIYko5C/8Mb6S0wK11xCy0G8SMtqWAO+5sJjFMjttCYxht78+KbAmijRmrClq3b7pON4gYK8CAL8q5k9Y6YhIOs0buldZR5pte5s9jGFL0bVwRv7Rnhl+Cl4i3WiVn80sv2MoLdsjIfr7hUXStDJnpDgvBfKR7hMQXJCCnkYarNg1wuXcfO8J9dHH4Y/4Tp1c6PHJihW8fXODYYpvRSg6FIrJzvGN4gncP9nOevzvjEKYeQ4ZBhlimXl3piOZM5s1MrYtlis9a24uyEbAfSlEex+IfJfehoK8D8QKD9/8uPPCnuE/+DQCTfXm9GaPv4dV7NiWaD5VdVjoBW7298r0095JbFpVl3pYGIuXpLDSEA6UBL1ZafpYVeGhOXMkb3ZDlVkA5tVkIJd7F1pzLNLeypyBk8/RTfz+vKRVEgLYW8MJMAZegxBg1TPCj6KxGpuVFmnDuZONMkOZrbXAUkxgzCRmo7aHgmuR0YkGaBZkiuS8+/WHs7/43Ljj1N1kou/CaZL2NVr+us+wGQH4nNbVUSulrprKMuTCKM/4frBr4JknMUlO8oKJEosOEF+VgGCpLK/hhHs+K0/T+97+fd7zjHezdu/df+3z+4x/3fYi+hz/ElqVvZTdnyqdxNE8FrVRKq/GcbVJrSzBkT15unpsQif+J6sU4/ZOZCeNgKacJdIqXnDtCzRbbgaQ2nXU+vs4QS7OQUrsB+UXZ8FJY1zIUO8eqWRRIWz+QJAnXHf59DGL291/P/fE5FF1TuDVxwmglTyWf5g8FTA1ek12CQ4PX0ze2if6SQ9G1mLfHARiJpplvehyYbfLwsWWenqkLEbl1mkLSJlIW/MQXmK5cQDFp8dvN36YaLmSqrvRagSBCd+6bJYwS+ssOlbyVGcNZhhhJpgtWqNVupqFo+fL5Ag0Pe0F0Fgm8oTk2tmnw4nNHuX7HcOZ6jXbcbfkRPQWbbhBnHi4bB0uoxmm2nxCU6ePO63hKbQFgR3Iwe/1eTVxfLZxXeTJ+KKPIFGkquhbVgp2hlXECxZxNDo8XhMJ1+4pxPWOjIxxQ6+W9vD2Zf1FKwk05XMPlnA75jXUOnqG7ecl3SxKJvkgXaC+MM9g/DcJt+oIaFRyLJJbIjD6NxFRzNlEsah/XlpHdOeMVegsSwPzAkUWenKqhIDMSDCMp8g2lMIHru3cAcDl7ySWCxPhhzPHFtpg16jy+jXoDDMYvI4jEYThV8HjYHCsKsrK98yh+FHNqua3DVE2KRsgljW8C8MV1v8Z/VT/NvcalBFaJx6vPo5YUmVTzXMHjVHK2eH7pDjt9burtgJIrVhkTnWcAOJnfjgKOO1I0TfiHCKKEvC3kWC+Imegv4Gs/LctU7CotYBDTMsosql7iOOFwIkXTqH+UowtNbFNlik1FwobGbgAOVy/TSiXF2oEC9W7AYEkMDRebPqWclfFUcv0TNJ1BDCIGG09nSkzbNOjPG/x46xMA/BU3cSLozTzS0oDjcs7EMCDnmDTNHgDO8x6jqdWNrg7rlfGtCAome3XRpNfBM6dTM/WuuMQXJQqmE8QZ/8cwxK/JNs3s76I44aL2d0hLkDWPfxAnbFItSmOWhoYnmk+VPk8gKriFpsfG4Jns/bfOfIXUFf/VF63hRy6UNWql7RMnCT9nfpXfSP4ckihbO5rdED+MWGh61DoBBc2L6oZy/rYl6PRi5iNmn/XBv5/X1DoDeeoGIuJRujBODSm9KPoBpClFrPpLtpgo61FmzjaZTJtPYKy+h0rOoaTzLE8tt7WCWGESMdl4HICBmW9jKkH0LI2yNb3wrAImfc+0UW77EeeOVbl8Qx+vvGicgZJwNid689loVbGqJM481jqh5n9J09rsSjOYPl8x/4cWTTfffDMPPfQQ559/Pvl8nr6+vrP+/b/jnzg2vQCAdcvfy/yQkkST4pSMQRRopYWsJjnboNYJ6AQRedukaBm8lG8D8GT/i8S7Rt+0pqlVeEoxU/dpaAWd1Zqh6IhZYOqJknYHeXs1CTtmVcIMMNlfwLXNTJ4/1+himYob4ntY236SrnL59vq3MrXcQSVCaI3ihNGeXOZaW+8EPFG4LLsEX6+8SsuEZZNZzskm0O+dksJA2xycWGwTRDHFFVnM6sV1RHaJL277A2bsCQbjeX7f/10KSZtAq4LS8dwTp2ocXxTOyKXrZGyYxCKdb/sRIxptkYdTypBYE60tTUrywphOGGeOxiCJ9EBG8jzzWGh0QUm3FcaJdrEVnsqGwSLJvb+PGXs8be/gfnURTyKb5/b4UIaG9JecjIchaeKrSJMfiZtyksjCJmorOwt9ThJBp7Yu3UuFFtMMsNe9kA2DJR41zgNgW+ex7LyLWp4d6IiHkWouU5OVcjbVvJUtatW8JV3mGfyJ1KsL0EaYRla8p0XqSifIOBylnJlZDKQbqKkMzlvTw2ZtevntgwtCpLdMji3I9+9agni0l06xK3oCEIPHc6On6MkL0jRb72p+W0g5aTDcPQbAVOk8nj5dzxqTSs6imrc5Wta8ptpuWtrgMIgkkuU5wfcoxE3q7ghP53ZhGKIgNAyD0MjzBa4D4NXxHVRygoSk3jepgs4LxbKhG0Rs8MRuYKq4nQQ4aov4YX14GE+H0SY6726o5LLc8rNnfVIr56addYQ6Jf6w5jVNhMc5ONfUHlqyma4PD1OKaoR2icP2NgKt8KvmLD6z+ySPn1rRaF+AQhz4n56ps3+mwYm8kMHHWk+RJDIOcSwDHvsUg/4paqrC59xXUs5ZVPIWa/sLjPfmmewrUO9EmWglKUijdl68l0azIeHElpll9qGR8HSsma5zKQKUhs3KfWfT2z7KTz7xOm7078CLUmd2RQzZ2CiIYi5s3C03ozJwvUUuOfWJzIJDUDMhQ883PUFVdeHhWIp6q8WktxpVs6t2J2Eofnlj1TwDJZdYNxjrk1P8kvFpXhJ8g8usQ1TyFkNll76iLaaOeqwfx8kZSFlM3hbEe7HpkSRJ5hOX1h4L34c0pepZSP2YVr37vDDGtdP3OtsFPhWvDJb0GqeLHdtU2f0EMNl8gp6CnYWAZz59hnDuUh89Z+ZR+o0UiZV9aqUd8NjJZY4utEiSZNWaRRc3ja40Rmv7i5RdK8u8LLoWQSy8CtM0MisYVzuIT690sjG5rxtXx1SkbK60Of5hHtb//Fd+8PjQhz70r3wa/xcdm64HYLT1NH12jQ7FDJ5OIzRSY8J0QJa3xZm4GwgMe4FxiPXqNB1cvmVcwU59H6USXBmTiZFhjzsELSh48+QdPTLRBVbLDxnEzci3Ar/KA9huBwSRz+Yh4RsNlFweP7HCnpMr9Bhdftb7KwC+Uv1xjJ41xJ2AqZp068qC/pJLSRNNl1s+B3Ln8vToK2jZfTytNlFseVoubzPbkC5uLD6tOSWGjPnimL1TdXZ0hUTb7tmCE0R4dpVPbfwAP3PgTWyKj/HrfJx3Rr+os/BMVto+3zk4D8CVmwfYe2pFFHaa/1FrBwxVXEgS/E6DdDDQ6oagROaaOtd2/PAsw8y5xupifqY8OkkSjmnpu1IKL4g5sdTOHKPHommSRz+JAv62/EZyymJvsJ4IxWA8z+n6aRgT1CVVQyWJdMNn+iG1PCmaLEsxXM4xHXcySTXAPQfneZkvBPDbzecTJIqya/GEcx6v63yBc4MnsgINhFcRRNJ9j/XkddEUU85bDJbdTKVSzUvArheumjnO1LrZNUgjbZJENrSia7GgSdwnl7uM9xb0SMEkiEJm6l2GK7nM3+nqzQMcXWhxaE6QE9c2JFNMd9E528TY+3nMMyKHd4V7OGW9NAt7PrncwQsTzo2lSFnMreWXbz9FjBQzQxWXQKsBo/XXwuk/Y13jUbo9vvjoWGBbJtfUBM16auilNHyJfki/6ihO+Ez8fN5gfo0rk0f5ZjJH0+tnTCvopBuXEFQSReh1mAyPAjBb3oEK4Yi5QZaC6Ai+HgUDFF2bnGMyrzfVNb0F3CVdcNnrtMDC4ognRdOa8ATfmG9lwcGGUpznPQZAffgy6r5syErB6ZoU+20vwtMb+tMzDS7UKsrTtS6Px5vYwXcYbT6F595IKZengAf3vF/ureHX00M/lVjGJTvGqgyUXI7MNzMLActUuMUqQd0mh8/Q0qMsNHawabhEGCU0fRmju7ZBO4gRCYh8/lROv9z2z+LOvabx16yLjvFzfIovGVcRJyV9jSOdCQcVf4517b2yud74B6iv/RK7pv+WvaOvwDAgisBSBl4csdwSh+8gjOkt2szUu0z6R7EJSHI9BHFC1V9gW/tRZstX4YWyrix3pJj9BeMr2T24Iz7IvtJO/CCmE8R0wzgTgqx0AjaVXdp+SBgl9BRMCq5FECXUO2FmoJmuu6kzfXqk6mEQW5Q0RBdDGrqcbRKEUog6lpEJIVIkbbDs6JGo0kRug7XRatG0pr2P/pxwGeNYXtOxpIS9MNmX/Z4i4dJ4D0+ySzJSDclVXGr5fPGxKQbKLkuaD5Ui0nMrTV6x501U7YjFl/9NhiLaOjtTKYVJkrn/O6bBbEMHyicyxlVxSKxEqNP1V3MEf9jHs0KaXv/61/+T//7f8U8clVFWKltRJFyBcJLSbslUEveA0mn0eqHO2aZGmgSCvyGUjupe4zJOtUxO666skrdpa9WGqRQz9S7dvHAYqsE8pmHg6kwiWCXvpREqaQaaUopax+fYYptqQerq/pLDfMNjvunxnzt/ywArnFSjnNzyBraPiDrr5JL2S9KxMCBcgOW2TzdUnLjq/Sxc+g7CKGau7mWL7JNdMeHso8ZYPmClHbDQ8LUDepdKXeTaU/b6LMzXHljPrWO/DcALkgcoJG38SIKPv/HUbMYjOrbQ4nuHlzTKYIuZYEfykPjWe/jZ+57LjeFd2IaY+Bmav5AiB99PzlzQC1tPwclGDyALzky9y874Gd4Q3cbG2v0cOylclLV9BZa/9tsYScjh6hV0xy6jkrOoRy5HND/FPi2bXW/BzuIQ4kQ2vbSoDqJ0PCfqufHevKjaQj12CmPU0lEuiJ4kRnG7Je78cZLwtH0OQWIyksxx+OBT2ecRRFH+9uh8k5NLbdp+SEFn2PWXXGxTZZE2Z25mMzqmwlBSJCy1vCz/L81oSzlnfpTQPmOMNb3cybpMxzLYOlKhnLPEDd+PcLQHVjeQWJCCbTB67AsAPIQovXZF8vyk49PHTqww1+iyNZAF/8FwEyeW23hBRH/ZzYz8AGrVrbTMCvmkTWXxiSyeZjieYWvnUQD2Dd1EoxMK4VyPrC1TcYwxvhOdi0HCNbWv0vLCLHYjdfgP4pgwiRlqH8QiomZU6RbGSYBT5gQ+NkU6OI0TmQopZxuYwFJLIlY2DBYprMi9P+1ukIbCNDiqkaaRcIpOpyORHXGMacB5npz74vCV1L1A++GoDAlQuoNf6QQsN30cy+Sm88a4cKKH4zkhyG/0nqHjRxRsg60nPg3NGdqFMY6u+0/069gTK+XgFWwCzT2ztSmuUtC1ZeJwUfAI3z20oJEmaUIkDsdiRatk020wRTVP12Q9Gyy7VFvHuDIQjlaVJtcnD+BHMTlNM0gR8cs6grxHE5dTP+cnOFG9GCvxuerYRwSdMRRKK8CCKGasJ89kf4E1vQWmVrps0uajavwi2ltfAcDzvLsEvdT36emVLpVggZeq72bPzwXGIUqueD/VtN2K0lYsK52Aomtl6HvRsTI+4ULLY1Cri4EsKuhMRVqqaGt5oWT2ebI+WRqhyWv3fV+jMbHmCqVWJWPVfDa2NQxxop+MRFQQYeAkHhvio1Tydsb1ytkWCYrzI100ucJnvTR8BBBOc39ZDC/TeJX5epe7npnjnv1zfP3J0/zxtw5x4P4vsa75GL3LTzD09Z/BjP1snTCVwjHlzgSodX2UgqnlToYIXxjt41Hj9Txg/CS/vfBWfmL2/bys8RnGZ++GhYNnz3L/nY9n7Qh++PBh3vWud/Ha176Wubk5AP7hH/6Bp5566n/yl6vH+973Pi655BLK5TJDQ0P8yI/8CPv3n+2c2+12ueWWW+jv76dUKvGqV72K2dnZf/J1kyThN3/zNxkdHSWfz3P99ddz8ODBf/Jv/j2PE31XAnBF/Kj+iTzUhiGOtwarMSsg0GVNJ26bsc+1gfCZ7nKfj2kodh8VAm0lZ9P2ZWMyDSEW+gUpmnqjBQwlDr+BdqdNF4PUhTm9YS1D8RONW/nd2q/SfvjvIAroLzh0w5DBzhFeEUin9WHnTYwP9GR5YqdrXSnIkoS/332Kew7MUcnZmeR//UCRTUMlgjhhselhmYq5hkdHFVlGzBYHgylRZyCLaTeIGdVhpfuicR48LAKEat6mMXgxx9UaHBVyLY8QhAlTK12emalzYLbBQtPj+GJbiM05m4m+Anmtxjk4NQ8PfQyDiF8JP8oOb09GtJSYER10GwspNz3Sha3thdz6naN88oHjtP2Q6ZUO1yzfxp/67+Kn/U/y5plf4xV3XsXrH301F+x+O0PH5Zr51/46E72FDI14ChnV5OcfB2RB7NME0dRvKz08bcIoJF2D0WqOomsSaiWLAi5ZFuPBpwsXs2QNYxqKejekGbs8qeS9Ws/clb1ulEiOm2MaPHpyhVo3YKHp4eiR2HhPjpsvX5dB/X60ajkw1/AyZ984WXVXdi2DRGcjJkix1/UlVDTlPEytdLLxcM42GSy7DFdyGVcmSWQjCSKRq68PjzDQPoyPxR84/wWAjfExCv5iRiKdrXdpeSEXJjLOfVxtJ0lEDZq3hMiexOLRc2zJ40hpl7xO62EdHxFyZeMbGCTMDlzOoj1CJ4gwNfKYcmOUUnwyEsT4spWvkoSetokgM/VMErFRmOgIIf2wvSVLi4+UxQlbOGYjnQO4ehypgLmmlwlAxntylOuybp1219P0QupewLzqo0kBi4hK+zjHFppEcUIej62+rL8zA5dT70Q6Ekj4bqk1wonFtvBvopjLN/TRW3S4dusQ5Q2XkKAYiOc5v7dLPmqy9eCtADy24efxsVdDtHXxWSnYhFGiiyYDy5BiP8hJ0XRZ/DhPnFphpS1oXieIsuDlNAInvRfDWBCFR44vEycS9XL+ib/GIKGLjLJ+NLlDK0dT8rsiSuBKT4qmZMcrWG4HfHvdW0lQbFm4k/OTAxqViTO17KmVNr3aqXqp6bExdWwfv4jiJTcDcHX0IHTrWXF/utbhVcFXcFREXcl6tSnYL6KHGOqdMIs1Svk6cZJgdFeIopiCY0oEFLI2V/N2RuzuaCVeOt4GOL7YYs+pFZ6cqrF/pkFb8y0tpehqxDe1Ilhq+eydqrHn1ErWyG0cKrG2r6C9pRSD8Sx5ugTY7MtfBMBEY0/WyIA4rCdxzAWxLpquFOHDud2HUYg4Y7K3kCVP3LhzhHX9RZZbgjzN6D3g8pXbs9eszDzAmzt/htJE/rTwy5Sb7ZCnpup4YUQcS5P4RuNrOCqkQptz4gNc1/kmr2v+d16895fg48/nh3k8q6Lp3nvv5dxzz+XBBx/ktttuo9kU3saePXt497vf/S96nVtuuYUHHniAO++8kyAIuOGGG2i1VjPJ3va2t/GVr3yFz372s9x7771MT0/zyle+8p983d///d/nwx/+MB/96Ed58MEHKRaLvPCFL6Tb7T6bj/uveiRJwsHK5QBcGj2OTOYT1vTlM3RG6Sl/CkXmbDEG7AYRO5r3U06azKt+DhYuwLGMLAuokrdoedKB2KaJF0Q0HfFq6o8XMZROytbdSaRh/dT5Ns0GGm3u4+LpTzFZe5jN330bfOhcBh7/CLa3wi96f4FFzD3qUva4u7Atg8GySzknSdRBlGShngdnm1iGKD/8MGayr8Da/iJxnNAOhDtjahLlaUtGdL3dU6RJ8QBFK2YyFnO/aWcD07oLzdkm6wZL3GuJAu0G9SDdMOLh40vsO13HMQ0KjsXO8Sq71vbSV3So5m0GSy62oTj5wOfAqwFgEfG25d9lLDyV8bkc7T4cJ3BwtsGMft+Zepf5psdcw2Ou0eXUUpuHDs/D19/Jz7b+HJOYp+ydTGtFYF/nOGtOfQ2A+bUvYfuuq+krCZk/TmCv2iyfc2FPdo8MVVxdNK2OLEAS2YNI/H3zjsVQJUdf0c0Cmo0k4vL61wG4v/JiMes0FEstnzCOeVgjNGNLuzkwJ9EQNW2fkLMN2toxuhtETC13sA2Dw3MtPvbdI/iRNhqNVzO05hpd4SZof5W5hpeprtBFn0i9DTqpv5QOkw2iJLO0yNsmlZzFaDWnHe8Tat1Aom0MMQO8qCYjx+8al1DLT7IvWQfAmpXdWIbi3PEq6weKlMyYnUq4KfudHSSJSLAtSxC1hISegs1gKUdnzdUAXMZeojih4/k8pymjublNrxEenCZEwyrXz1DwrXgXc6qfUlRj88JdQrhNhIeWd8wsz2uDL0jREXsLcQLLbY8wTjimFXRrOgewLTOzuzi5LGhtybXIx20qnniXnXbW0fYjoihBGQbHDEGbBjpHODTfwjIU58X7sAlYNIeYsSaod4NsXGhbihfvHCVOkgyZci2Dbx9Y4DO7T2IaEFglTrtyXS80jnDV7KewgzrJ4HYeqb6AMEoo5cRxPkU/09F16iFkaT5eXOgnxmADpyi0p7n3wDxeGGVhrWXXotZOTRLlhjKU4rbHTnHv/nmmVzqMmytsn5fN9w+KbyfA4jwOsi0+rBFxCMOYgXCGreEBsfA45+UstX3mS1s5sVb2iTeHf0nRVtQ9CcYNophD2hOr1hGl1pZQvifWXIw9sYtaaSMuPhc27sk4QktLC7wilvvwK+NvJVEGVX+W3ngZ21LCExONDK42lxw6+mU+s/JaXhnfQTlnM94rY9zFpieO4ZZI7VMl4IImgx9baHH3M/OEWrwg/KHmKqcpWB3JR3HMQtPDtUQhfGqlw4J+fcs0sgiaMU/GxFPWBE9ashYMLD+GZawGPBtKsY4peqgTGS5c9nPglChHK2znKF4oKF05JwKUu/fPZ0Vw3jYZruZ54wVFLuhIMsi3Jn+RGIMXBt/kP/ufF5sbzUlLJyynax32na4TaE+8/mSFa5Ug779Veje/4byDj5qv5W7nWmaKW2HswlWJ3w/heFZF0zvf+U7e8573cOedd+I4q6GYz3ve8/5FMSpf//rXecMb3sA555zD+eefzyc+8QlOnDjBI48IFFir1bj11lv5wz/8Q573vOdx0UUX8d//+3/n/vvv/x++T5IkfOhDH+Jd73oXL3/5yznvvPP467/+a6anp/niF7/4bD7uv+rhhTGniufSMYr00OCc5DAJMNlXxNQbpdLIpaeDIUkkJLcbRFyq+RZ3WteCYbG+v5C9doo02aapIeMkI4IPJILQFFyBVFPid4pw+aGQiU1DceGpvwZgtriVlt0PjdMUv/t7fHzhx7ko3ouHw62ln5GOUktH04y1MEqLLyFcL+qFseBqOFeJ90qabl/MWeQsgxldZAyH09lGbBqKoWAah5A2OZ5sVphvdDNbhJ3jFe6xBLW7msfxmnWemq6RJLB2oMAbrlzHC3YMZ+TBbhixc7xKJW+za0kiJm4vv5q9agvlpMn7uu9hxG7JRq0J+dIxxtz1zCxPTdd45Hjq9mvS9EJOziyw5s43seHwJwH42/Ib+IPRP+SnK3/Omyc+z3cu+Qj7Nv8se4deRv3a3wGgv+hmUSD7NPpTXd4ryaIIfyxVNZ1JfKx1JGE8SaTQGCi59ORtQVCShIvDR+iJFmlZPTxRfE62wZ9abmMqxSOGGKBubD3K7iOL4u6r3c1dy6BSe5pzY5HBN72A40stFpoeXhhnKBIaAeoGEbV2IAu+obKoGNc2s9DTMEq0DB5tQCoy4tQF/IDO9Mo7hnazz5GzhLW02PRo6TFh3ko4Z1Hu+68b1wLwAPJZJlYeJAEu29DHdVsG2WkewyWgZfVy2hzXSFdCEksB52nTzIGyw6XPkzHMBRygzw64hKcYSeZpqRKNyRuodwMsU5znUzJtel/GyuSLhog6zp/5nOTTacVrybVQSjF/BoJxxN3CscU2tU7IfMPjqCXf+6R/WKwytO3HbL2rDTZNciuCMq2Y/SxGRVF56lHhcUPiVIY6Rzm20MJQiovCxwHYm9vFTN3DD2Tk6JgG545X6QQRC00tmVfihL+i+UNpgXjA2grAzvq3ee6K2InUrvw1OmHCfKOLa6lsJJZaAKRE4ihJsAwTo7uDIecSpvIy7jvff4SVlsdi05fxpSWb7Iom34exCEIWWx4HZ5u0fUkcGN//CawkYI/axn32FdxtSLP5iugODL3p+lGcoUzHSxfw3RmTh7XR5OkL/z88lWNbdIAfKzyEQtzBF5s+Jxc7+JpcbQUNRgJpzL7bnuTkcof29tcAMqJL0Z+Rg5+hTIfDyTgLa19C1C/E+S3Bfsnq7IaZUXDOEnPMTacFYX51/HUGSi4DmseUjvlTvmJahC61fA7ONvjynmm6QcSsNoPs+BF7TtYIQiHci8WIfAtBFOOFCUXH1PwkIfjf9ugp2r4geznLZEgXTSesdew15NyLsw9DkjDek2fbSJkwSjI+01LfBeCWYMN1gKyxgVbpru0vYBqK6ZU2d++fo+xa2Wdr7/4bjCRkprSD0nPfxm3Dbwbgp/xPsnnhm5mwA73GPXJ8mSRZNSe9kW9jqZg9bKa19nl8z72aP4tewW9Zb+Uvd3yC+Me/yA/zeFZF05NPPskrXvGKH/j50NAQCwsLz/pkajXp/FMF3iOPPEIQBFx//fXZ72zbto3JyUm+973v/aOvcfToUWZmZs76m2q1ymWXXfY//Jt/z6PRDYkNi/1FgUevUo+TIBuJa5ugpGpSoNVTUjD5UcwL2rdzXls+w7ec54paZrCYdQnVvJ0Rjyt58cyZTuRalmmTSzra0Vud4a8jD6unx3ND4RTr58U0847Nv8XHL/4KR6/+Q7oDO7GRxeMLxR+llR8nisWvKX1vWDWaS/l608tCjk5h/U4QUXLtbMMuORYF12TKGAVgIjmNMmSjckwjk8geZoJOmDBT79LxxUH9gjU9nLTWcywZwVUBWxr30fEl6HWyr0glZ0uunJ7xd32ByJ87Fmbcj09H1/PL1q9wmkHWJKf5Xe/3KVsyYlGkSpWEubrHN56a1fEPBueMVthR7vDbK7/CpqVv42Pz3sIvc+/QT9BfztENYubCIoWdL+GRDT/PnZt/A7sqheFAySHRar0jahJfOThBHZaOADCsTTfjhLNM4GrtIMudK7oWlZxFJW+TKBmDvSCSzePpgRcTKOFGmUoiVizT4IC9jUDZVKMlovmDHJxrUu+KEd6m4CDvOv2L/LH/G6yzVwDFQtNjseXjhxGn611RdZJkga5hLLmJhlK0teFd2bVwdXp6pMnJhiF5dpG2hki77aMLLY10yr1RzolEO47FMbzeFjfxS+LHKQZLrKgKd0fn0Qki7oulU15X2505jC+2fM6NZDx1rLBTuDeGuIAHGlUNtF3E9EqXpHc9zdwYNiEvLB3lx6x7APi2ey2PzXbFLLGS02MU8eZJJdcAt6nnEyuLscYT5BafkiYijCm5gjSFrRXWRMJr229soa7zJOMk4bFAx6GEh0jiOIuZCSNJBTBNI+MzTTnrWWx5mJqXZxkqQ5pGg+PahT/hAl/u6cedXZxabtP0xRso75iM9xT4yp5pqjkLW8fNRHGSjcgWmlI87ddF0yW1O3DwWR64iOnBazm13GG24bHQFE8v2zC0QjTKNuooSggjg4J3NX3RtRyvPgeAK+LHafkRDS8URZlj41oGK+0gowgoBaeWOtS6gfh8BQ3sxz4BwKesV5IAn1UvAn2fV5JmRgK/tC33/d3WlTx6fJndx5Zp+yFmzwh39L0OgFcu3cpYKUXwYw7NN5mre3hBxFpvPwYJXmkNu+dN7j+8QO8VP06EwXnx06ycegZCnwumJGT8r42XMdFfwpwQBeaWcD+mHpWl8TSGoSgaPmtbovbcyEk2G1MZ+Xu55WsOkRaZ6PVy71SNrz0pfnXVvEUUCVcNLQpZ6YryNHXMBuhoh+6J3jwTvXK/Oqbi1HJHqzAlcmXCl6LpuLmWZ8zNBNgYrTl6vCkdN2XQ9kN2JTJSnuuV8XUqXrpKPa7HgRL6vmGgSKMb8vTpBnGScMn6XkgS3L1iq7Jv5OVcvLaXA2v/E59WNwJw8+z7ua54jHJOztEPY44utFBK1MAk8PJEnsN/sJ7PcCWfRYPVuyEKshiWH9bxrIqmnp4eTp8+/QM/f+yxxxgfH39WJxLHMW9961u58sor2blTFsSZmRkcx6Gnp+es3x0eHmZmZuYffZ3058PDw//sv/E8j3q9fta/f6sjJRY/VZAMqqt5nCSRJOhstqwVRZFGbOrdkA2zd/CGlT8G4Lbij3HaXY+pxKvkpeePcvG6XjYMlmj7oc5dcgmjhMXAoYVsUv3RYmbUmJIuU8JuGtb73KXPYhBztPc5LJc2Exs2uys3sOfFX+L3Rz/IHxXfzPfG34ipZDPqalPMJBEie8oZCHRsyUwtleivxku4ltLOwIkmSNpMKSmaJpnBMhTVgk1v0WETQlw8rCYxDJVl2+VskyiRyIlvIB3old59tPyQ4WqOvqI21qx1MyJv6g9zQyQBwwfcnRyNh5iJq7zd+lVa5Dk33MvNi38kfi+GEGeHdYZVKiEeKDiMn/4Gr9tzM+u8/TSMCu8svYf7cteQsyVOxQsj2kHExsFitjHkdLp4f8nNRqOJYXPKlREdU4KwpiGpiZYBp0etmxZNKhvhlXM2xGAkIZdFAmkfGb4exzB0Pp0WGRiAneNwTp6tidpuvvHUDH4Y0280eeP0b2ETYhNynXqEyd48figF0rHFNmEUZW7BHW3mF8VJ5inlBWKKWdLIYUosTdGutuY0hXHCYEkUm+KCHWQhq2kEQ1ErjJbaPgXX4jLtmXSHuhIvMbEMg93JdjxsKv4sPd0TNLohc40u50TCZ9rv7Mgc4kPtmpz6NNmmWAEstQNmB8QK47roPp7jS0PyVet6un4kUTOOJYahehywcbCYZTUuJL1MjQi/YnD/pzQPUe71nG0y1haUaUYNcayTxzQU1ZzwWPbFE4QY9CQ1yoFknS23fRLElyuKEgor8vfTzjqW20H2vZuG4qhGmibD4zS9kO7yFGuCY8QonnAuyAj9rm0y2pPn1HKb+YZHOW9RcAwxZ0zIcijn6l3q3ZBD9taz1qsntr6VBW2B4JiGtg+Q+yqKxFaj5MqzGESCNoWRqPwec6QxPC94DBUHJLEIG0o5C9syNFopvke1thRLriWmsy/u3o7hNzlhreMB8yIsQ/GEsY1DapIcPjfG97BxsMQWZ55t8WEiDJ6sXkfJtegGgiDlbYtvlF/FgjlIsTvDi+LvUM5ZejwcM1XrYBqKnYmMc5v95wMS25LrW8OT7oVyXz7zOXjys1TDBeaSXu6yrmWsJ49aI0XTRv8ZTUyPaXihvucV28L9uGdkP55Tu5dKzso871bafnbvpyPKlbbw+XaOV+kvueJnpBQFV/LxAJbavvBVQ2lUPO04fmSxzUxdTEuv3DxAX9HRDaZFT8HJgp+PGpN0YpsTOVl31rafxLVNWn5Ix4/YlUjjsdfeya3fPcrciHjsnctBclFdhBVFh/6Si2tJodXyI67fPszG4Bn620fwlcv0mhsxDIPtIxXen/wEdye7cBKfm4//GpsLDWzDoB1E1LsBjiWSw23xfjapU3QSh4eK12EaSsyVVRpkH57lX/XDOJ5V0fRjP/Zj/Mqv/AozMzNaHh9z33338fa3v52bb775WZ3ILbfcwt69e/m7v/u7Z/X3/yvH+973PqrVavZvYmLi3+y9UsXakzl54HYivipFx8x8jRIEPu8vOFww0Uty8E5edex3MEi4u/xSvtr/U7gp5yYWafLVmwczc0ZbO+mKXxPModGmYD7jZ6RIU+qJ5oURrr/IxZpI/PD4zRlxdLrW4eRyh8eNHdxfuZFSPoel1Rrp55lvysNqpJ19JN4d3VC71WpSc8eP8CNRkhhK+CYFx+BoLEXupJrFsURdk7dNtiqBzZ+J16CQDbulbQCaXsjGwRLfRDa+K5PHSPwmfQUn2wymVzoSh6C9lhxDsf7UlwC4r/hCuRZRzBFzLe8v/jIxBpfVbuedK7/NNeoJDGIME15+wRg3njvCWmOeX1n5TV556Nco+fMs5dfy7qEP8aSxPTO9TCH3OE6o5m06fpwRkkGUiOKrJLyMYzmBytOiqa/gZCRJL4gzRU29E2bZa6OaUFrOiQfKhRygTIuGUaE1cIFYJxgqM8Y0lJCN9zqyMaxvPMLJpTaL9Q6/WPtv9AYzxBpDuTLcjRfFjPfmyNumNrOLMo5dvRMyW19FmqJEzqm/6GT5dUEUZ/YDIEhUmomYs00RBEQStpxeF8dc9Y+K4phmN6SUtNm6fC8At0VXSwfvmgTKZQ+ywU+uPESjG7BQP7NoOkdGXJaZFajpSDoV9p2udZkblIL7ivo/YBNwyFjPQmkrYZIisZL0Ls1AwkvOG6WiQ1sT4Oj618p3euRLDMTz2d8UHJONOqT3abURX8cTjVRz9BZsfFyOIg3mhHcQ21SZMaxrS+RIQY/nTlhrifTofLDsYhiKw8gaNRRME4deZjWwX21kMSpyYkmclKt5i4GSo/McBTG1TDHRTYOIwyjmdK3DctvnpLWWyJKR/8PuZRwtnKsjPCJ9jmEWsxTq5zlvW5r0n9ANQry4BarNk8k6aqpCIekw2ngyEzacmW841/A4tdzWqlvFUDnHUD7h+trnAfhC/lWYhqGtKQy+aL0YgBd1bqfomFwXiJJtj3Uu52/ZyJbhchZJ4loG7cTh7vLL5L5uS2blpqGSqL4aci22RPI9LffKyLfjRzIO6xd0ZMvpr5DcLw3rX8UvwnFzYhCri6bJ7jM4SmKf9s80aHnCm9rZ1fYPyDo6OXMnSqnMn2mx5WfrccpLBdi1tpfrtgyc5RC+0gkZq+YEyQKePl1noenr9UGoB/1FJ1uP+woOr710krGeHOsHivTlYCyUtfSImiRKEo7qBmq8voecdtPv8acZYokQk93hRuqdgPvnc9TKmzFJuCLZQ60TsHZAPlOgz9u1DOYaHtc0hVP5YO4qVF6Ud6dWOhjK5B3JWzjpbKAYLPGqhY9iW3I/+WGi7UfgRaFMOb6RXEqpKvvWZF8xa8SOL7UzAckP63hWRdN73/tetm3bxsTEBM1mkx07dnDNNdfwnOc8h3e9613/4tf7hV/4Bb761a9y9913s2bNmuznIyMj+L7PysrKWb8/OzvLyMjIP/pa6c+/X2H3T/3Nr/7qr1Kr1bJ/J0+e/Bd/hn/u0fAkwHJO9XPIWIehEnYFj6KUokfD3KCLGROqcw+x4Vs/h0nE3fY1fGPt29k2VsGxjbPGbCCFUMeXxc02jUzSmhZNJX8+k9L7YQqLryJNVy59HjvxmS2fw6nKLoYrOYYrOZJETAdTx+T+opOR+NLE69l6l6JrCjkzkgUwJa/3FR3iBBpeSEePyyo636zWDsg5FkcTKZqG1Ar9lkihTUOxVktk98draHQlWLbRDTENeOjoIpW8zZS7hRPxIHnlc257t2S4pUWTJnDLOSQMNp7CWT5IYLh823mOjCk0KrK/fDmf6rsFgIv9h/i4+T6+ylvYcfS/s8Ft0PfoH/OBuTdxsf8wkbJ4bP2b+PPtn2DZnZBomTDKpOvp0fJCji+2eOjoElN6VJlGlKTuxYcdKZoSXTTlndUQ024YZZt9wwsyr5aJHtnYio50rdcqGc08mbuEYi7lGSoq+n+LFYDBE7aYXK5rPIofhvyY/1nO6+wmNFzepd4CwAXRE7QaNXHw7StQylm0feFQJEiHPFfvZknz6YI/rAu5noJDN1jNpAO0SECIzI5lsHmoTBjFLLd8HNNgueVzZKGJAvK2gaEMEmB85htYscdxtYYn4vWUHYuJ3jymAQ8gn2XtykM0uiHB/CF6kho+NofNjdKE6FGJwSrvKkWNplY6LAysmq4CfLf0QlzbouBYbBoqsmW4hG2q7FkLo7M5qAv9FzNb3IYZtnnNUz9Pb7SIZYqTdSpj35MI6XvrSCkjwPYVHfYjCrrh1n66fup8bAPSeJS0cu6QLpCKrlhhGMB80ktLlTCIuKS0wOXIGOh7nMuJpRbLetTnhzGH51vsPrrM4fkWC03JRBsuS1h1jFAGji60dcSSzfKGl9Gxqny6/JOsdCTXL/W3CqIE01TYpsrGc4HOlLMMRcPrcsK8lXuWP4xpJjxqy4hn3coDWsUndhkp/+Xp03WmVyQ3cMNAiZYfcnXrTsrRMkvWMPc4V2dKOdcyuNu5jjZ5RsOT7PAe5+KWFNT3udfgWGZWhHg6DiiIYx4uCxq41XuCoWQR15a1sehY9BdtJtoyjpopn5N9rysdn4Xx59OkQF84i5p/mhZ5/i6+nrJriTHn4DYiq4gbdxiPTmWS/wQxwR1bEt7tX/BqQkyKy0/D4uFsRLegG02Qgvy6rYO8YMcw12weoB3ENLQpLMg60vEjBstulml5YLahkX7h69nmKlfV1AhvJW9TdC3Wq9NYRLTJM80AUZRwvCQN1EjtcUGavJCt3pMAHDQ3s+jJtTy22OJYrwhurlGPg0ro08rD44ttegoO4715Ts0uUj0sHK678i9kptal6YXsnarJyDlX4lND0phumbuDC4M9dIIIP5LUhQIeL4ikCP58cl2WG1hyLVkzk4TjSy3uP7Twj4Yb/3sdz6pochyHj33sYxw5coSvfvWrfOpTn+KZZ57hk5/8JOa/IFAvSRJ+4Rd+gS984Qt861vfYv369Wf994suugjbtrnrrruyn+3fv58TJ05wxRVX/KOvuX79ekZGRs76m3q9zoMPPvg//BvXdalUKmf9+7c6mt2QKJE4j4dMWVB2+Q8D6BR3+T1DGazpHmTnvW/Cirs8YF7Ex/t/mWu2DmvCnHx1Z3YoqcrDNAzKOYu+ooNlGMxpCzm3PcO+0zVqnSDjyqSczqjb5NoVQWAeWXMzKOno0/HSfk3aXT9QRCm16grd8Wl2AxrdkJwtC3qMICzLbfFaGtHE33on0KG5EdW8bOYtP6LRCagnBZYS8Xtab8xhmYqS8unzJRj6kFpLvSvqrvmmx51PzfL06QZKwbrBEv8Qy+Z3Xv0eQPyOZDwo+XULTY+ZWpdN0/IZD/U/lznfpRtGmcLLtQy+YL2Yt/Z/lM9ZL6GeFJhglhtnPgp/uI3hh/8bDj6Pm+fyNxf+HYUX/iYzbdk8Rqp5kkQ65zRqxjYVu48tMaXRrnsPLNANIq2WUdnme8CUOBVmnoBQE0TPiE5JOVn1dlo0CdEdtHkh8FxDutonC5fhWGZG1k2tE1zbwDENnlab8I08RneZV3a/xE+Hgux+buSt/EPyHE4kwziEnNt9hIGyEFfT10oL4oWmJ5uyzvxCc5cqrqAH/QWbbiDE4rIjxTEJNLtR5nA+3iOZYGGcUOv43L1/ju8dWSSIZdMpuIKSnjOvCfvGtZiGjCiGK3ksQ3F/IpvcmtrDNNodirMSH7Lf3EwntsTeQCNuiRISMJAtxqdXOnjuAMctWXdCZXNw+MXaZT3R1hPymVKbhaYfSGCrJrEqpfjK9v9GMz9OT/ckv7n4y1TDZXoLToY07U02YhkG6/uLkqsXicv8UUfI4CPtA8w3vDOKJigFy+Q8EW8cTNZIRI4jAc0JYFkGU85aAIa6Rznfl+//QXU+7WDVPiRnizng0YUm8zp8+ZzRqlZAiVdSEMUsNj2iOKG/5HDwsvfy6WvuYspey0LTY6EhI6YU/YwTNNIkAdJtPZIyDUVHGzLapkHeNthtyRq3pf5gll2WKBlBh3HMfYfkM67tK9BXdGi0O1x6+lMAfLX0KjqRBJZ3AzGYDKwi37SvA+CKwx+mp/4MISbfc66QZlHnaopZpNg3NNwRwjWXY5DwvPA7dHwZC+YdkwGWKAfzxMpkKqefQ2C5FVCprApNAL5ovoCmKlLSrvIYJsGwFB4bvacxDWnWBssOpaTBaFtQzzu4nEdNKfDZ90UJCEZsB0r6mWl5IRdO9rJzvIpSgsA0u1FmcXFm9lz69zP1bmbP4qSGvNpp3zINlvWoz7UNxrVty3FrrVhjkHC6LMhatXmYaiKWBjsDiR/aa5+TjcGSBB40ZdR6JXuwkNdcaHisdAJ6CzZj1Txj03eg/AaNwgRPO+dyutbla09MSyNvGQyWHGZK29gz+qMAvH7lTyCUcF7TMLiocx8l2pxMBnlEnZOlUPhRTH/JxTTFmPj2vafPMhb+9z6etU8TwMTEBDfeeCOvetWraLVaLC8v/4v+/pZbbuFTn/oUn/70pymXy8zMzDAzM0OnIxtdtVrlp37qp/ilX/ol7r77bh555BHe+MY3csUVV3D55Zdnr7Nt2za+8IUvANJFvvWtb+U973kPX/7yl3nyySe5+eabGRsb40d+5Ef+Vz7uv8qxY6zCJev6sE2VFU0X+o+SxJJXFsUSM7DJmuXdtd/EjVo84+7kfcV3smm0N+tMUq7KmUThdHMtOKaMypRivLfADGIeGdammF7pcmq5ja9HLWnFvv7kbRTjBkvuGg72iUKp6FhsGipxfLFFsxtQyVls1UaWqwTyhMNaOl50TGzLlE5Ye/gotcqbSM3fOtqwsOjY2c/jOOEEggROqlksQzEZn8AgYVlVqRlV4kTUJbO1LivtgEre5lW71tBftFeLpvaDOIlHJWez0PQyF+2VdoAde5y7LPyY7xZvEDm5bSEpJRLvEcUJ0/Za/sD4Sa5Xf8ZvJj/LYVtm/12nj/fnf4l397yPnrXnMNGbZ0kTaNf25jNvITt1sFaKrz4xDZDlon33oM7Ki0V1aBiKU2qYjlVFRT7MyqLlmmZGWk1TxdPMKkPJBgzyfuPMsUlNEWLwTPHSzFXdsYyMoC8WCgnd2GSqKlyNq4/9kYx8iy/iK+p5dMKYu+Jd+jo+wM6xqkTCaJQhXZRPrXR0BIqirbPmio6Z8fXKWoSAUuQcg0pOAnvrXZF3O5Zkh6UxGtO1jnA0tA1FpPPYRpnnHP8JYhR3WtdgmwYJikpe4l+eZgMto0wuamLPPcHAshQOT1nbCSIJ07WNNOk9IQhl057sE47fsiYi73HlMz9duZok3895a2Ss8MSpGlNLnWykaCjhnEjtoEiQcWPDHeHrF/0FzdwoY9EUP3n4zQx1DjMQzROjeJL1VPIWM3WPg3MNFls+HT9mWnNKNoSHWWj5WhUpS/K6WBDWGWOEwMhrHpEYbCrt6zZtrwNg6/w3KIdL+EaOU8VziSIZgxVckx2jFbaNlOkpiOXGJev7GKq4DJVdKjlxbffCOCuCB0ounSDENCXMt+tH1Dq+BK3qdUYClIV3FUQxtY5wp0xD0QnkHqjmbQqOxW5Dioq1wSEGqWEYQgXoKzqcWGyz3PLJ2QbnaWfyTQvfoqc7ReD28jXz+XhBjGOaJIjq0VRkI7rhliBEj9sXUFcVLEPR8cUpO2+bnFjsZFFN6jythgvu5eRSm0j/fL3OBWxWNlOPVpXgK22fsmtzT15I0JGy+GRyI4aCvqKbEbityUsA2BzuR+n74YKJXq51nsEg4bhaw3Tcx72mbtj3fSlDwWudIOOxfj9Pp+2HQmbXdgR+FGeh7D264Ty1JPukQgknCO3tJnRMPZKVUV1/W3hbx4y1GTcxzPUT9ErhPt7ci2koztNCiietnVm8FCTc291AixwDqsZIR3yvTi63iaKYTYMl+ksu58x+GYATa19JT8Gh44fcu38+GxO7lsnFa3vpf+lvQ2mY0fAUb+TLJAgx/sqGKGQ/F12LaZj06qKp7YcMVXLiSxUnmS3KD+t4VkXTW9/6Vm69VUzPoiji2muvZdeuXUxMTHDPPff8s1/nz/7sz6jValx33XWMjo5m/z7zmc9kv/PBD36Qm266iVe96lVcc801jIyMcNttt531Ovv378+UdwC//Mu/zC/+4i/ypje9iUsuuYRms8nXv/51crncs/m4/6rHmt4Cm4ZKGIbiKXMbTQpUkzrhyUd10ZTQxwp/FP4uvUmNQ+YG/nT0PbiFEgXH0sXKqhOuF67ePOmDV3DNjCdim4rpWJCm3nAB2xSpsZ/9nYIoYOcJkcw/OPo6/FheO3WzresRXIo8wGq3GcUJh7XniW0ZOHqUMdfoaoWXnZm31rsBC00hforEXEittimDqqxo4jSmoZgIhLh4zFhLNW8L/Kzz10p5ix+/fJKhistCK+AZYxNTyQB5uuxoPYRhKKZWOhpCFnXGi93HKcRNlu0h5gcupZK3teO5ynLScto3JU6gS57beB5vrXwQ/+ce5BMXfYGvcTU5x+Tc8Sr3H16k4YW6G5TgY1OTzgfKDiudgLm6R8ExuWhdD4AY1c3W8YJEL4jy3jOlHXKR9IjOtUWSG4QSeutpF2eAgmNQ1IjEcjvgauRv9rCVrl3BUInIek2Dib48uyZ7GSy7NL2IKI45Wb04u2eO2ht56vx3SaYdCXdFUkBcEjzESNkWIrUmdJtKNszjCy3x/zEV3UDUfAXXzJRYrjZ6VMg90lsQ8rNkzq2aY6YbxsmlDvWuGKCSKBpeSAK8TImJ66HCBXTyYxiQBQiPVHPEGOyxpIPvnbmfNU0ZUe0zdxDEwiEStZvCsUwhKccx1YKz2u23fG4r/WfuGPlZvjj2VlzbYLQnz46xCkkCT0zVtMpJ0N3llq+DceXZSUn+s+YI91x+K4vGAIPdY7zmyTfJ9WWcdpLHNsV7x9SuyAtNjz1aQTeczFOKapJVF8YoBRPRMfnsahK0V5ShyHx6bMPglC1I04ZlGWmcKO/CwwIlfkmVnE3BtTIfte2jFS5a24sXxlTyFmNVCU+drnUIY/FPKjji9RPGQur3o5gVrWJMG6xUwQlyP7S8UOI1TAOJlhOy/abBEg2rj2eUjCevUE9gKinE8rYpXKkwZsNgiYGSQxjHnFcXJVxw4etZ8OX905BWUZUaHGSCmZ6Lsnv4O/ZV2mRVsdz2KblC9j6xJOPwgmti7nwFkTLZGB2hp3UExzTYMlyiuizjqNbg+WdlvS23paA5ktvJh3M/zx8P/AbTcS+GoRit5rPfS4umreF+okTMXy1DcUks9+Ie5wJMA+5MLiFWJpzeQ7kt9I9uEFHRz0Da8KZHoyuIvKntT0JNugfoLYr6eLbhoSBDo4DMgd8whB4BkvHX25RR73FT+HEKUIaiMyxrwVj9cUZYYjwRbuNeY7v+WwlVX+7CQ9rmY8PK97ANxWzdI07gOZsGWBNPsab+GIky2Df0EkaqOeYaor4tuiaupSkHSjE5NgovfC8AP8MXGAynac8dYVvnUWIUn4+uxjZVdm2aXsRojytBwgo2DZXOirb69z6eVdH0uc99jvPPlw7iK1/5CkeOHOGZZ57hbW97G7/+67/+z36dNHPn+/+94Q1vyH4nl8vxkY98hKWlJVqtFrfddtsPcJO+/2+UUvzO7/wOMzMzdLtdvvnNb7Jlyxb+dznavvBUYsNmt5IbMTr4DSo5m1zc4c/U+xlPZjnFML9V/m3sfA+mYVDKiaNwGCVZiGvKW0hfFwQhKmju0onFFvPadmCQJYkziFaTvuMkId57GxVvhprRw77BG7P06oJj8N2DCxmXIklWrQNSZVQUS1ECaIRAFFBhLOfRU7AzNKzeCbMYlIJj0ldyyNkmfiibQlo0rUlOCyKg7QaOGpMMlnOs7S9qx3KDmZUuT03XeXq6Ll4xrsXXY1EkTs7eCQgJ/NBckyiW97tRkwzvK1zPhWsHGKvmyNsWlqlo+hEksKavQE8+dciV6+CHCTPWJE8tymZSydtUXIsv7Zmm3g0ouWIqWslLkZEiL90gouVHbBoqMd5TYOe4IBhfeGyaOImxTUGa4jhhqvB9RZNlolD4UUTHj2W0qYviUm61I15s+lylneXv4SKUkpFd6r3UDWJuPHeEkmtR74b4UcKxnitIUHTMEh8dejdDfT3Z/bI72Uo9KdCT1Fk6cL9GN5R2xJb7b9/pOmEcZ4aGjqULCt3Ziv+KjH5NQ9FbtLOg5DCOM/VQTi+kbT/i0GyTo4stUNpwMIi4KZIR++yGV0p3rEShOV3rZOrIB/Xzs2nuDoZ9LRqwt8tmojPsoiTB1bt8GCWUXJMxvfEtND26ZpHvjb2eutGT+etctWkAQ4lfVKMbUHAsTFOx0pHPKHtUkkVW+GHMkjPGu6rvpWb2k4tknL1PbcIwFE1PewKZIv9OgOUozwmEy7c5PpKp+gDW6IbhiJrQ5Hfp1AuOqe8bmNJFU8qNO1K5JAt0BjJBiIx7znb/B8V5E1UsQ7HUFPm7cBJVtj6JEi2m1hHCctr5+2fwZsI4oROE2uDQ1v5i8v6XbujDNBT3cQEAz0kewzQU7SBmvulpnyFBkHryDn4Ys8kTj6B43XX6dRQtze3ZOlLOLBuOrBPkKMTie/blmEqQv6WWTylnkXfMjM9Ydi0o9HG8VywQrg/vZetImXLOZqguyG6r/zwZHSaCYuydrnFwrslCy+evgufx2ca5grgaomDMjnEpOibCE+RjQWBXOgHndOWZnO67jJJrs5SUOVmWhqR0RMxu236UIcHfj5wst3z8SLhiJVcK1rYvZq/9JeETtXRzkRaw5ZxFAjrbjayJqeYdKnXJ7zykJukG2tw4iqkPSfE51niCHYGgTIeN9XTNIoZCF5dlOn7EfUoQ6q2NB3hmpp6FUj9nYz87NMpUG7+GqaiHE0ttevI2OdvQjZUSxWRq/7L1R3g6dyE5FfDTjY+ydUa4UA8mOznNoAhqdGHU8SOKjp2h94vfF2z87308q6JpYWEhK1xuv/12XvOa17BlyxZ+8id/kieffPJf9QT/Ix7Nbiik1AQe1CM68/A3sVXI7wW/zznqKMtU+P/s36Bh9bKsXZv7iy6dQMjGOe29YSiVwbYZ0uSYWdp0lEDDEYPL3nCB3qKjY0CEQBjHMdz3RwD8Q+Hl+MrV2XHi83G61qWk/YBafpghWFEsc3M/jDm1LDCxH4kfUCUvst+ia2qYVnNyukHGjyg40n1sGS6BRipOatuBsfg0YZywJjgGwGG1lsGSy/Xbh5joK+BaBp0g4t7983xrv0T49JddvpHIyHZ87l6SoMNDR5eodQJME7YUmmxvC3fsgcoLuXLTACOVPJYBKlHEurC7fH0fxZytnamFGzLf9PjovYd4+PgKzW5AvRPwkXsOMVcXO4OiY9LwQnKWySXr+jhvokoQ6sJTmz3mHZOrNw9QcEyOzDd1KK6tv6OE4wXp7NKiKVW9BZEYTda7kj2oFFSzog5qtWUujOWZuze+UPxytBWAY0n8zn2HFmW0lQgqMJ/fyF2XfpyPbPoL2sUJbEPGbI5pkBgW30kuAKDv1F3UO0GWV5iq4pb06CKNsUg35uWW3IdJnPJ9pPuv5kU40NHBpa6Wmyul6CvaBGHEkYWmjNC0PcA5/h5G4lk6RpHDg9cTxjJy6oZirNn2ZLz5oCaDD+jxw3Fzgo4lo5owSsil6e+aQxbrjXi0JyeCjLqHoxWPMsoRl+aiazHRVxBSb8Mj74jn00pbEDlDKUiUlkvLezxwZIknOgP8Suk91AxBd4/kzkEhHJkY4QwVbFG05R2TZzQZfBvHMJSBF0YoYE1wFICj5jr6i4LIlvMWRdfKxpunrLVnrStP5S/S2YRy2KbKhB8pilJ0rYwsvHO8qgu6kCCMKThWlg8XaJNOTxtAFhxBjU1D0NFOIBt4GIlXm6V5lKsBzrBtpELJtXjAkPvpcp7AVlKUHJ2XRsvRaHVfySHXPk1/vECsTI7YWzS6p2jogm/TcDG71gf6r+Px8f/MJ3puoWGUdJxKosdqgjQtNLrCq8vbzDW6fCf3XABemHyXwZJDwYbJrpD1GwMX4AURe07VePzkCo+fWGZmpSMcQkPWVj+Sz3lmZhyVUbzCKAYx25PDghof389oNE2EwdPuudi6gXmsLLQH58BX9TVKKOtnOQ3kTY8ZLbSQojUkSqR4sAzFSCVPS6PGrr4X+lWd5079OUPRjNjJJGTZfr12QLkjfmFP+KP4UYxCCvmlftl/Rpr72NGRtecJ8xxtHyPNUl/BIYgTvmfI726N9nPPY8LXGytBfuYRJk4IV/Tw+I/w9LTwo7aNltkyXJYmKIrPagqOLrb58vjbCDC5LHyYi6dk0vFFrtNoqpGNqtMGP93T0sblh3U8q6JpeHiYffv2EUURX//613nBC8QZt91u/4uI4P+3HivtgEC7JT9sSaVvnX6MkTt+nsuSPbQTl7c7v86MvYYwSlhqBeQsXYDoPC7LMLIcr3R8liFNrsUFEz1cvK6Xq7YMEJWkGOlJVihaiY7nEGfX/pUnMeaewjdyfLN0EyAdZN42MpLmlqFyNupIeSvCcxG1Rq0jHjJtDSc7psGxhZaQwy1Du/4KWpImeadFweUb+hmp5FCozKtpLJoWcqEvZo+H1ASWdjXO2yaubTJcEddsLxDzt2reYb+1hZmkj1zc5tTDX+PATAMFrO3Ns3nqCxjEPGVuxx7YzImlNpP9BSb7iyhtDllwLUaqefGAihPJjorFkmC25skoVIksuqtNPVO+TssLsS0ZOZ5a6pDThZKlr1Fee/dcu3WQpZZPyw+paN5ZECUcd7U/zsIBks6K8DCUEDYXmz61ToivSeup+gagOnM/DiGnkkEOJmOEumgytNfV9IoEug7rhd4LI5bbHk/Y5zFnr6HgWsSIT06UgGOZfNuQ7nlr7T6OLbaw9YYk0L9skuO9eZqecC7O5GiA8C/iBFwVcnPtz7nm5EepJvXMQDUtegHGevI0vJAVvbDmLBnzvMgXtPCx6gtY9CQ3LIjEyqJXZ/NZhuJEMsySvYo8P23tkAXfUIRxvBrzoRVehhK+nYSZJlnR41jShEi0hfzNxkHJVKx3hfxtal5WrFG0hIRaJ2SDll+7+hmZc9byqXNv5e+Hf4kTkz9CgvAy/CCUUaWRji2dzBn8ZfFdvL31AW4++W7esfibrPW03YC5lv6yXN9qTrLfUm+stt1HU8k5dnJD7OkME8cJigSlx962tgbxtW9awTaykf5gOSdjGgWubrTaXkTTk3xDQUuFU2ebMhYsOOLm3NJihzAWHpplKko5U8cD6cw1Q7FlqMRTaiuNJE8vDXYYxwmjmBNLrYz754WinppoSfG/XN7KoZqg1oYhyJZlStOY099NzTN4dPsvc2f+xcSJIJBtbYtRzlmUcxYt7Q2Wswy+/Pg0B3uuok2OsWSO3sXHWM80+aSNZ+RpVjax0gkyj6Wia7FttMJwJcdQyZWiPRGJfdE5e4/zR6SYON84RN422aYDn/ebW3h62cisL+6zLpeol+lH6Q9F3S1FbYrYraJN85qYnyBj/CCM8cJY2044dEJRs5racOvN9T9k4zMf5c2dPxVx0BlI00BHGooV1cPpoIRlKAqONFQruUnCXD9W7LGrLnzPPeaOjI+qFBxeaFJwTDr5EQ4mazBJuPn0e7jVezt/Of0K+MsbcDpztK0ebmueJzQH2+B1l61j+2iFOEloa66n2NHEHJlvEfRu4q/UywGw4y4tVeTO5FKUAttQWYMuzVZMT96mkrezzMAf1vGsiqY3vvGNvOY1r2Hnzp0opTL37QcffJBt27b9q57gf8RjoZVmP5nUnSGOW+tRJBSP/gMhBm+J38oBc4ue88NyS1QvvQVb+xxJKGQK7da1b0XaTRYck2re5urNg7iGQdvpI0hMTGKi2mkZ4cTCOZmclQdlt3Mpx1oOh+ebHFto6cgHGT0NlV16i+LiO1uXwNpQb0IdXywE+os2tY6o6GLNJ+nJ2/QUbMlE8kT9kRZNqaQ+dUl2LSMrmirhIhf3tin64i5/mAkxvMzLOaToxfU7hhmu5FjXLx1oMedwhx7Rhd/9Y26ufZT31n+F/++xG3h1XaJh9g6+hHYQcWC2Qa0TcHShhaP5GCQJ54xVGCm7FPSY0dYbRTEnm9x4T46fuXoDLz53hEvX93HueCVzHTeV4sBsk6WWTyUnihI/Smh5UaaGSwM7QUJHTSX2DzXVQ6coHJfw1GPZ4k0iasGlpoev+S6DpdXx3Pi8cEC+zS5AHHbT8Uk1Z7PU8vGCiJxGChRweL6dWQYUHZOp5Q5Luist5SweMi4kwmCoe5Ry+yT1jiAR9W6QcZu+smeathdScCW6IUmSH0A836E+xYtbX+Ccwx/jo0s/yU+Gf4/yG9imykaNw5Ucja5EBPlhQgz0Gw2ujsRo8t7SjUTa9ytVhA2VXV3gCJK6V5sQAjxlbtfB11LYp0VT24vIWSamqTi51KGnYKO/ckFulMruyfS7KjjC8VEomt0A01BiwpigzUcl6ujarYP84vM28fLzxxip5pjoK/D6G6/h8te8nTX9VbS2g5Yvz0zREb5ZzKpH10Q8xQvCe7io9W12eQ/hEFCjRL2wNvOvSuXj6XjTNAymnXUAzA8+h6V2mLmwO4bCMAxMI0vnAZJsdAop90z+T492hG56Yh6YJEk25o1jiRJSqKxoEyWXXGMvlFG9iE8M3GArG0oXYCiDCyZ7CDB4GEFSL2UvbV/QqzVaPNHWHKfJloyHFnvP58RiO/OTUoCrESlHfzcrGn1PP5dS0ND3X1/RYaSSww/FR+7p0w0a3ZD+3h4eyokabsvcP7BGWw2ccDeTKBmni/VBgXPGqmwbqVDOWboYVtrAFx47uZK9F4ChncG3RwcoOhbPUTLyO1a9VM7ZEk+sqbDEqcoFAGxduhtAo/pyHdtnkMHnG15GgajkheKQht0a2v4iThIMFNfFD3Bu5yEALg4fYyw6mUXjAJmz/EE1Kc2hY4oSrRPQCWP8MTl/O5E14DG1HaVSmw04MNsUU9+Sy7c1Cn1Z/BjbkiOYRCTFQTrrb+CTY+9i/4JMEi5a28dINcfOsSoJq+bJAM1uwLHFFjnb5G+dH+UUMgn5XuE6OohNiG0ZWYHcCYTH2ltwstdcjfL59z+eVdH0W7/1W3z84x/nTW96E/fddx+uK12saZq8853v/Fc9wf+Ix1LTI4yEx5NzTB5zL8n+2/vsW7g3voA4SZjoK6CUwLJxAr1FJxvP2aaRqY8ypMlbRZrSo+EFWKbJguoBoLM0hUIItQawcfEeAL5rP4cgkmiTmXqXJR0cecXGflq+qF1ytsnpWie7+S1DXLbTMc3Ucoe2H5J3Tfq00WHOFvJ6NxT4OUWqDK1Dn6t7WJqA2jBK1BB13tC0FHOn1RCNJJcRIkUZI0iFQnHd1kFGqnkcUx6y1Ohyfetxbmx/kQ2tPeTjFj4WB4oX8bXkSh47scxnHz7Ftw/MizmfIzwWLxKrhOdtH2btgMTTGIYwRqZWJBOsv+RSzFnUOyL/zTvC+6h3Q04tp0GZ8JyN/ZRztrYMWB1rHl1o01uwcW3ZOFP0pBOErGhzvfjUwxKBorv2J06ucO+BuYxAn40HkoTNNSku7jcEsTyzY03DdX3Nfxir5jCUYqnlMbXcJowT/CDmO1rR55iK0UqOON/LM44Y313kPcB8s8tp7dVjGSLdn613qXUkANWPYo1ARSitMHtufD//GTG6a5Y3Ukg6/Bx/z0cWfpLZO/6Azz94kDgWk9O2L6aOKarwEr6DQ8gzagPT+c1YenwIYiXxsvPHM7QlShL2OBdk9/tTxo7MQyyIYhwrjXkJyTsGtmFkFhDl77MTSNHP1Jy06UWMVOSarbQDTE00NpR4Pykl79H0hKuUjiMNA6IIhio5Mv1RIp+tG8SUNTpJAocKu7h93a/ypb438ue5N/Jh9018MP+L/K77Nt7kvJ/eSpFQVz09eYeiK/dNlCQoAx6vXEeEySN9NwkyoMO+Uz5InKyaeVqGkalmpeEJs3Fa3hW1XEuTwFNEQJA/pe0ahBzu2iniLAiJp8fyBoq87VANns+2wkuwDZsNgyUs0+BBbQ9xUbKXri6aLpyoEsSCVOccM0OalnrPZ0orNFPE1daj5hTlqbWDrMg1kA0+bR77Sy7VvMVSy2ehmVo5WLzkvFEerkiDv3XxLvqXBBE6ZG0ljAXJcSyDId3YpEpYtCpOKVE3JnHC5x45lRVOyZg8ezvigwRRyE7/cTmvTc9ltJpjx1iF/pJDOWfzuB7RbZy/M/seUnSufkYhNl/3Mof01DYk0CHry60gyw80wzpvDbQoyxLE80f82zMSuGMZmPOiEDwYrxFrkJyNgaRTdPyQaM2qV9lhxjnlFTPSf60jnmyOabB5qMQnkpv4Unw1nzJexm84b+fjF38Z7y3P8NS1f863gp10goh1/YUMpc07JkUtJjm+2OLRE8t8+FuHaHkhlbyNcgr8UvJLfCt/A18svy6t62VM7qRh0BFtL6LgWly+YYCbzh/LCv8fxmH9z3/lHz9e/epX/8DPXv/61/8vncz/LcdSW6TXeS3TvUu9mOc5+2hufw1f3X0OCl/Pzh0Ozcl4JwjFkqCjU7ot7QnS6IarHf4ZSFN61DohpqlYVP2MJosUvDm8cIIwhvXJCfq8UwTK4Qn3EsacHOO9BaI4YaSS4+J1vWwbLvOtZ+a0542YxnVC4aM4psLwlfZbWZCoBctg12QfxxZa4hlCol3jV8NnTU0gn617+GGCYymdV6aYNseoRvuZnBXS9hFDfEUKOghT+EEWHV+iPNICQil5QPdZO/hc8nw2mrOcdDZyyNjA48EEzfJGzp0coHu6Tpj42cjCMBRj1TwrOpRzekUM2XoLkvHlhzoQMxAOTV/BoehY2VzdUDDX6LLS9ukvihP5q3at0Q7pZuazlMYlHFlo6oDmApah8BYlnqLtRSz27GT01O0w9QhO/oU6Wyvh4FwT2zKIEglYTi0cwqk99IQLdHB53JBNKT6jME07TS+IMzWUEMIDFls+gyWJKWno8dNQ2cWxTMpuwqPWFZzjP8Gu7kN8rfAKVtq+RDqgtA+MykZkNT129UPhXITLR/m14CMAfKHwauzn/zbzD/09101/jPXJNJcd/CCbnM/wie0fwx1en3EvDKXoeiEvimVD+XzyPOG0dMNMTHDBRC8TfXn6S07mlbQ3t4uG2cO86mPeHqWiEZR0LGoaCs9PKLsmXpiw3PJpemEmaqjmbV60c4Tdx5ZYbPoZOtX0QvpLLidXOnT9KLu/09BeQBNyIyhLAZeiVg0vIMESTp0h45XUuiB1s1cKinmbR/pfxkmjzZ7Gis5mFGd9y1BsKLkEGjnsLerxnGUQx+Iof2j963j36I/SU8ih1GIW9l10U+7hKlHYNlWWFelaBqeWu1nmWBTJc+oFUsAG+vpZelzqafJ4ybXwgoi2H2aB0sJpkuy1smvR9EJmNAl7sOziWAYPJFKEnxftA0N84naO93DbY9NSNCUexbYgIvO9FzJ3qIsXxhQdIxtBpb5GpqYJpIKVNAyw0Q1xigaNbsC+6XoWanvueJUfv2ItXhhzpHwxS/M99EUr5I98EYAD9hbWd0O8QMKHRyo5ple6tIMw48bFumha01egv5xjpR3whcemeN1la1munkMeg0GWuNDbTTWukdgF1JqLiE6dxgti+otCJ7g/uoKX8iEGVp6g5M2gkn5ZByIZ9abP8HLbh0S8wnLalV/k9rDU1nYuwOu7n2aQJZbccRrXvYe1d7yRFwZ38en6IlCkp2CTHBVy/SE1SdG2GOvJM7XSwfPFisUbuVS3qvAYOwhjsTfpg2zkWS3YbBwq8UXVyy9HP09vzqG34OAywNOnG9x3aAFDybNUylk0vYBvH5jnkePLLOkYnihOKHUDTi62Ge3JsWuyF8tUPM0Gbu3bhR/HGKou6kvDwNW5llGc0PBCyjmLyzf0sV6Pw39Yx7P2abrrrru46aab2LhxIxs3buSmm27im9/85r/muf2HPLpBxFNTK/hhSN4xKbkWc9Yod1/798xuu1n724BjKvK2lXUhtW5ANWdruwDpwFL5f5rCfaZ6DuThq3dCLGWwaIhXUyWYp6X9iC7p3gfA/sJFBHaBcs5msOQy2Vfgmi2DXL15kLZGiCzTYIPuHlKkyTnjpq53pGvdNlJh/UCRcs7KRipAhqiAFED1bsTJ5Q62qbhy00Cm+Jg1Na+pJp47R9SkdM5aCZbTxGrJP/MyYqGhJDKkkHP4A+fneXfPf+XP8z/DHdZzOZ3bxPU71/Bjl0xw7poetg6XOX9NhbGePCOVHI5tkdek00PzDZrdkN6ik0XFRJonZBpiFph3JGy03gl44lRNJ8SLeuWVu8aZ6CtQcEwKjoUfyQaTs4S7cXKpgxeKt8lwJae9beR3UrM5+9g99MeL2IZsjm0/pNUNsmKlqoum4BkxfnzMOp/Iku7Y1/ElfhjjRUIqjnRb5toyJmh7MWEkCNhsrUsYSWBsj1ak2ZbBiQHJm9ruP0kxaQq/IhGujGsbjFbyjFZzjPXk6clb0gG3A07NL/Njx95FkQ5PGNv5u9LrWe6ETI2/kFfyAd5j3ULNHqTfn+alR36XVten7UsRbijFtvgA4/5RujjczpU0vJADs40skmXHeBmlFNtHK/reg7oq8/bhW3lH+b+Sd2XRThE2paRYSO+vsmtlNhQp/O+FMdtGypkbf4Y0dcVOYlQHKDe7QmQ3dLGYPs9pdEWgeX6GVqt1g5jTtW6mkjwz+y51jS+7psj9zZRALf+9r+gwWHbJ2waefob6is73jedkzN1fLmAaBpWcKFxJoKxNE0Nt0QCiJkz5TK5lcHK5TUVnsbV98QKL4tTZXlNBwYAAAJzsSURBVIomU48t08KtnLMoaRsRP4oJYuGrmIaMhkuuiWGETNfqJIk4R5tKcUhNskKZAl3OUUfoL2ohgVKEUUzn+COYRCwbvUwlA3TDGC+MsAyDkiv+b09O1bBNMdYN41XfonRQU+v4HJhtsneqlq0JRcfksg39uJbwilzH5m7ravnvsRTrx3PbmF7p0A0FWRrXbvttHXSdxe+gqOQdXn3RGhzLYLHps9j0WAwspt0NALyyKWG1at1VDFTLEjXlhfQVhfh/Kuxhqizihc2Ld2dWDwlSzIMQuFPTykrOppyzM9Vg2w+ptSWIeWtyhFeEEnv15TVvpzHxXE6YkxToMn7sC4Cgk8msFE1HjbWM9uSo5EUJGsRifVHr24GP3C8H8+eRaidaXsQTUzU6gZx/b9GRZ0NB3pbYr8PzTW7fe5qllo9jGay0PB4+tsyjx1d45Pgy842uoLquGIIGoQhJukHM+oFC9u2lJqzyfcpUIUqUjhQS4ZJpKPqLZ5Dwf0jHsyqa/vRP/5QXvehFlMtl3vKWt/CWt7yFSqXCjTfeyEc+8pF/7XP8D3MkScLvfnUf+043WG4H5G3zDHOziOWWr2XcOl8rTiSjSanMRj9JyBbeNMOo3g3O4rIUdJfZ6IZZptOyKXPjarBAEEmHeFFbiqZHCldhaMO8dDFPO9WahnkrOSt7vziR97EMIyuaEhKGylJwpf5MQRTT6opKT+DvSP+d4uBsA9cy2DFWZddED91AFugZW/K4DLTKwliLobQnUBgJv8gx6fgR8w0vk1KDkCLTuXeKRoz35Nk12cMN5wyzfazKRK+kZre8KEtZjyJBYSxDcXS+RcsPRYFjmZlrta9JmDlbxkIdX1zSvTDOCLJ9JZeqtgMo2JL9F0SigDEMOL7Y1iihjCOv3SLS2m4gfK+p4k6YuAwj7HDD6Y9ia8Sk0Q2odyM9QjMySwTj4DcA2G1fqv2IyJSKjW6Aa5n0aMQMwDbluiklJF3JSDMyX56qm46rFKpvI3PuOiwidrR30/Hlc1qGYqK3wLoBiVfpL7lcsXEg48e8dPrDrPEOsUKF3y/9ColhsdIOGCzliJXJF+Lr+OsNf4ivHLY0HmDgyY8TJ3Kf5x2Tl0bSeD2Yv4YmRaaXJRNNKRk19Ojru2O0okenMmKc8XPUQoe8bWTPVJp/55hGZuhXyYsse6bW1fwQGZ+ttINsc0yJ4A2N2KXu5X4Ui3eOUth6POfpnDMgUy0aSlCqlY5sqpYWR0SxyOst08gKtIFSjuGq5IOt6cmTsw0c7bGVjlIiXaj1FARpsgwjy6dMR5Eg2X+xVi2mIx0vjLOiwtCcN5BreXKpTTUnsnBPx5TYpkG9K+o5aUgkCy9F31zLZLxX7Br8MNJIU5QV5pUCzOT+ggdaH6IddAl0EZh3bPZY0hRcxl56Cw7HllqUcxaWadA8dD8AB5wdnFru6vGQ+KWtGyhSdExOLLU4tdwhbxtZbiFAjAS+H11oZz5NF63tpVqwNWk91Pe/ouBYfMu5LrtmdbOXujPC1HIn4x+N90gDUu8GMrYPxSnKMOTZqGpCMkgW5nLLZ6ogSO+WQEZhbHhulq/X9MTnyrVNqnmLPRV5/w1L3yGIEyztYp4irqc139A0DC737+PVyx9nrTFPkqBDnaFow68nf4FJzL3utRwsXkIniLmjJMTqi2c/C0lMKVoh7wk3dKmwjqGyK/YVptgYzNa7NAKT20uv5IC9nSfyl5GzhF5RzokKeqHh01cUS4i+ooNjGvSXXcIo5tB8U4rHliC0HY1qD5Zdzh2vcsn6Ptb1F9g2Umaw7BInZIKQvOaKKaU0907uIUOJgjWNzomihJYvfMqBM/icP6zjWWfPffCDH+Rv//ZvefOb38yb3/xmPv3pT/PBD36Q9773vf/a5/gf5lBKcf6aqnaOlsW2kl91PT001wRtDFdw7Mz8zFAKP0o4uiAmkoYm6aV+IR3t2guyMKQcjXSEVMpZrNgDAAwj2Vj9wWnWBoeJMXjElZm2jM3kXFNeVOb1UbAzJ9og4zRBzjHoL7lM9BayvLuiVuKEcZLJdF3LZKUdEOsHVaJHcly/fQgvfT1TMWuNnXXNjhqTmXO2JHYL0uSFMX4YZWOAtNgbrri4lslSW/gPhqEYruQYLMtCOFLNUU4RO935e5HEupiGGGIut3xs06BasFFI9+1ryWwlZwsXIAgzVGBEI0ZhFGcFa05L1FOibduPODLfxA/jjNN0+YY+CdxNYKkV0AkTePF/JUFx3tLXuVAdIIgS7fHjE3PGeK45jzMraNzDzsU4pkhdujr5fLkjC/5g2c0k6EEY09UqqpFKjhvOGWGglMv4K4E2xcvZJiiYHhb+xQXtBwQdSci4ao5pZuhPT15MWV8Qfpsra18hRvHe/C8RFodRSskosOygEHPSGXcdnx+UjL/nTX2UbfEhNg2XWFeKeb7Onnqk/6WZjLyrHeTP9G7pK7pn5CjG2TjOtc1s7JbEUsiYpsys0pgLkKKp5Ufa/8hgeqWzWjRpbtOqWaz4jTmWsYpe2cLhSZ9jeS7izA6g6YXsm64TaoQyr+/F3Bmk4vQ5u2JDP9dsGWKsV3Ie5X3l78o5mzAWm4a8bWWh2ID2VpLPura/gDKkyFBqVSTihVFmDmkYq9lkUZzQ6IbkXYuegpMF4lqmot6RjEc/jPFCKWjTa5KzTdb05PU9LZ831hYmlka/DT2OP13rMt/wKDjihZbymi5lL7ZpcnKpk5nWclKIzAfs7Sy3JQw6VfadM1Zl60hZ504GosaNYgz9uZIkYantU9ej0B+9eIJNQ2Vs3dTVUkRKX5dD5mZOm9KcnSxsx7YMputSqMW6cAJodGWs7oer4dNpfFXKUWz7kaQUVFZz6wDYcB0FHUoexQndMGaw7NJXdHlKiRN8b+e4iDR0kZ7ykKZXVgu41879EZdP/zVfTN7MH1p/wlD7EFGc8PLwDnZymAYFPln+GQxDUeuGPFx5AQ2KDAbTrF++n/px4YmdVkP09g6QdywdQi3vOd8Q3tfne3+K94z8EZFTJkGRs8TAF0R5mqqjB8ourh4X1rtBZgOyYaDIRF+BnoLD+oEiNz9nLdfvGGakIg1HzjGZ6Mtn6H3RtTi21MaxpCD3I7nfUzsPxxKVZ8428aIYPxTFeOoV9sM8nlXRtLKywote9KIf+PkNN9xwljP3/zt+8Fg/WMLRG9BC0894Pi0v5OC8GOLlbBPbEn6BZRqZ18zjpzTsrL+13oKTLWaz9dT/aNUrJS14Sq5FXRdNffEijmXw3ORBQODYJT3RFuKxnE+6Ia0apNnZQpx2qynHxbWEEA4wVHH1YqEybpUYIxqsaO5L6gr93G1DWKZwEGS8ZjJtrBZNESbH1VjmvtwNRGXjaANCP5TxB5AVe+N6QZfFz2Rdf5GCa2XusiPVfOYDAinfQ2UIlq8jJZS2FgCl1VtS/PUUHVbaQoCWz2gRx2hfpyT7zAXH0tJ0IbzXOwFHF9p4YUxvwdGyaJuNg6VM+bPU8ohHLmBps2Qz/VznYySJZEnFiRQBqdMzh+5EkXDU2siyOYCj08+9QHLESMSEM+M/xTGzja4mXEvhNVASYnHOMrKcMkeT7YMwprvhhQBcmTxKwUrE4NEQTtNCq6s/pyxqG+KjvDP6cwA+X3wtjzu7GCrntDOxr/P49IghiLm7+BIeKVyNRchvB3/IlWscLut8mwJdlnKTTJXPl/OIYxzbxDQkO8/U97ZjGfQXnWxMtKYnn+WfpfltcSIE3hSNMZTKRtoz9S71rrg+p6Oq1CdHPJuSbOxmKim8UwRKKZFDC9IUZYTgMFrlNDW7AU+frmsTTzn3gi33YMGWZzSNppGxs0E175AgI790NJOO4lzty1awTXGS1+O+dX1FxnvyXLNlUP4uSbQNhK2fmtVCKdFdPqwqbsd78hmCLGNCQR7rWi0IotpLN3bXMhjryWMoWbNsU9R1LT/ENsUt2zbFEf7+QwtSNLliYvqALpq2BftIQikMego2llL0LEkDcMjdQSeIMiVbNW8z2aepA2UXQ48BJbQ7RVfjjA+0a7KHDYMlIecbgmCkCA6IO7ZpKr6afykAh3uvxVSG5rlFnFrucNtjUyy1fKJYuFq+DuG1NGk7ve9Biqblts9Cz3nZe3i5QRjajh/FWVHb7Ab0FRx6CjbHY0H9S/48XreT8R3TommuLsq5HqNDOVoGwCLm5eb9fCZ+Oy9+4s28rvVXAPyZ+TpqppiINjohZq7EHe4NAJw39Xc0T4oz+bSznnLOytCdUjaNCJitdxnryTNazVNwTKEkJAm7JnvEJNc0WGn7tLyQoZLLml75/guOmB6vtHyUUly6rldGp1Gc2eF4YaQTBQy2j1b0/SJ83iPzYjtRzVvEujEAsbZIx72pp1ucJPQUnIz8/8M8ntUZvOxlL8uy3s48vvSlL3HTTTf9L5/Uf+QjNSOTQkJxcrmNF0ZaVi43X8ERuXs3EEVHNS8jlienVoRXol+roMdgAPMN2cTSDgJWH8JyzqZhD8nfeHMMl12ej3R2D+evlE4K7fAbpa999oNczTtUC+mDIBt5eiZeEBPF6HGjnZ1D2vHHiTiYz2sOkm0abBkpM1qRAmepFYijsHN20TTvThIZQviNdbem9JgijXhJkZx0w1t7Bklw40CJorZMSAvJkYqW/Cc6dy9Zdc/uLZ7t/zGp1YuJ9p3J2WYWRNz2Ix3XsFowpnEjINci3YSSRNLcU/5V6iOjlGLLcCnzLzk638ILY57e8RY6qsCO5BCvML4jbseJjEAtU1G0YtgjQbuPupdimkqrt4SUL6nxJjvHqxQcKQoWmz4NHRZtG9Jxt3QIqKURwkreJm+bFHWKem3gAny3l0Lc5Ges24kS6QajhMzIspKzSBYO8uHgdyjQ5Zn8hXzS+U9YhmK4mmO8J48XxuyfbUrRFMtmGyYJH8jdwowaZE0yw0tPfYDntYWj9XDfTdoiQZztU07RmVyg1IJDuzJQ1+aDJ5faHF1o0tYePYFGhlKzzWGNzi42fdpeSDknlhgn0xwvJeO8rh4zpDdLT97OChGQpiJFVNJNOf2+DQVTK5Knl5Bkz/tgWYxlc3qTTJuhbiAd9apiEjpeSDVvZ99pSiA3DCWxIIYiCBMqBYvXXDLBQMml2Qn0GEkKR8cS5Cgd2SolFgmwqrid6CtkYgovXOVWNbphJm8v6xEeSEM3Ul3l4qX3ZcsLsQyDvpKbBa0+cGSRk8ttSo5kAB5NxpinFzsJWN/dlz0na815isEyobKYzm+hrflgpi7uJ/uFY2To0bBrmSy3A5bbkpvX8QX1reRtto8KOrLS9vX1NFho+JkarJKTtfTLzkt477bPs3/s5aCk6Gt6AXlHEhOmVtocmmsSRqmARTb+FCJMC516R56renE9niWcz+bYlaDk+qSj4tO1roxNczYUBvBUTvy06qcoaNSqrp3PZ3XRtEaJca/v9PKm/Ae4PbqMOFGc03qAQtLmSTbxReMFJJpj1/ACCo7J19yXEGGwof5gFmDeqm7BNFb3lhQtanghc/UuI5Ucl6zvzdDxKE64busQNz9nLZYpVjOdQIJ3pfFQrB8oYpmKlY7kgA5pND/ICiC5pyJtTzNQctk0VBKOFjBb7+rC2GGiTwRIBmTNj4yMTd0MwFD5h89ngn9B0fThD384+7djxw5+7/d+j5e85CW85z3v4T3veQ833XQTv/d7v8fOnTv/Lc/3//ij0Q31wqwYrOSwDNnQTiy28cJ0/m9h6VFLN4gYKrvYpsHR+ZYEnpqmlr+a2Wx9XlvLp3EYQJZV1pO3abpSNJX8ebaV2lygRKlyj7qMIEqyEU6KYv1jSFPZtbLuM0oSnQNG1l0UdeZdikgJjyTJeD8tvUGv6c1T0iMPkDm9ZShKOYu6KmWGfSesdRmyEMVJZsE/oEeA6WYQ6o0RYPOwkND7ig6bhqSASh9mEDWPaYilv3CxhKdUydtU8+J8C/LgjveI3DyVjJdzurPSSFOqPAp1FpejFxBAOycbGTF4qbXqIaOUwkDx9w+fZGqlm0H4J5fbPHhkka8eifl86bUAvMP8W8pGJ/t+ytEK1c+9Bo7eS4zBd92ryFumVnQJslDTXIxzRsVnxrGMLIfL1DOPat5mptbN/F7KOYufuHwtz98+hKs5I50AnKveDMDr25/gZ/y/QSVyvdPPORLP8qN7b6GPGgeNDfxh77vwE4HXB0oOo5UcSiltcCobbNsPCaKEE22X33HeJp5Qx77MJl8S6+8r3kDeNuktOGweKss4U2+A6VjLsQwK2jNIKRk9pmOwpaYgmh1fuywnZNdvqJLDsQzqXfkOB0pyP8w3hBCfoknzZzjXB7Eoy3aMVbL7qJizVgtI3VhkYcRKcXiuSRgnuogSFG/jUJG1/UXW6sBg+4yiybXkmjvaub0TxLpJSbRBo5ltRCXXEsPDOM7QMFhFj1LfsRSVSv1/0hFmkiRZMzTRV2BYNxJpAZ3+bpxIcdCTt7ORlWsZFByLUko016P1NIOwop89y1AsdwIeOrJIKWdhGFLUP2YKr2lr53FAULsL9Vp0yt2Mr1wZh4eCtvXmbdbposkPYkYqLmM9eUxD/INWOkFG9i84ZlbYrrR9bFNp88w4+47yWqCRoDjcrWKZJpWcRbMriMhAyeWqzQMUHIvFls/jJ1cyxNjSyGDLC7NCZyFdd12blUHxiEs2C0Lb8cWyImcLerf76BIbBov0lXIsWBKfY9dPUsytclBBonuiJGEcKZq6pQkOW5t4a/xWXpL8IbfbN3DI3sLvmrcQK5NEj4DrHeHJzlnD3G+Kjc05gYznVsqbNKle1qy8RjtTzlJ636QtY1qEbhup6M/pEUUJY9W83MP9BUaqOS2S0d5PqUzzDDuA1FRV0C2L0WqesZ48de3NNqzX49m68N+UoTTPCY00SfEUJ8nZ8TU/xOOfXTR98IMfzP7deuut9Pb2sm/fPm699VZuvfVWnnrqKXp6evjLv/zLf8vz/T/+WGx62QO4UQdVxomoGLwwwtUJ3Sls3w0ixnryOhIjZKHpiQpK/05aoCzpTLczkaaa7oCreZuuLpqcuMsltTswSNjLJvZ3yhLeq9EU2xSFVfoApEVTT0G8Zap5MQUMowQ/kqJI1Cwyp87bJuP6fE1DfF+CSGT3I5Uca3rzmT9Oilwtag5RJSfcmFlNBj/MBBBrZZWYggIMlYTMWO8GPHZimUPzTRxDuzpbFh/6Txfw3370vMxGYPiMh800xBxRIaOuRCNIPQUZP6bj0qJr0Vt0M+Sop2CzZbhEwTFF3eKHlHKW9swB15QRRGreKe9F5jOTHik5dLHlM7Xc0WgZ2T1w63eP0OgG3NP7SqaNMQZVjZ/mixhKsVWd4CPtd2CeuA+cMn+/6b9y1FgnPBm9oCtdgAmPS9AjVxeIKTcsSWRzS6MahKehWDdQZEAX6H4kTtBc9TZqz/lVAH48+CxvavwJYRiIwjBa4KY9P0c1nOeomuDXir/DXCAcqYJjiszaUAyVXBlfagWeoaXtLT9kj9rG1wfekF2f75qXMp9UMJR8B5N9BW2yKGOF8IxCPeU4pZ9htJrjedskascyRJMdJwn6f5Ikwv0p2Ol3GNFfcugrOoRxwomlNofmGnzsO0f4/KMSO1FyrWwcfd6aHhmzadWrZQoC2OiKY3E6djaUYrbhEUYpF0aQPNeyuGxDX1YspaOGruZupMW/UtKtl11BPaLobDJ22ZU4Ez9a5VNJtIw0ETmdf5g+Z91w1bfL0xYYkc4AHKnkGNW+RCvtILs/09/P2yZDFTcbeabn0J8RcuW+SrPRKjlbF1Yy6j6y0Mo+Eyiezl0AwNraw9n7bPHFZPIZe3t2vqZpUHJMyhrBEN6LqPXOGatkQhNTQckV3yGS1TWl1g0zixAQnhDIfZTXI6h0VFlwLPEBS+Cy9X1csq6PF54zrCkFglKlIpCcLU1uijQt6HW3t+jQ+5o/ofayv6T/sh8D0BYVJldslBzD6ZVuFgQ8Y+iiqXliNerGE2PgpbZkAY7F4hoeVCaz5vGUMcYfFX6BXx/4I6bstZIooJGcphcKGonis+ZLOPOYcTdo13aLkWqOkmtmhUm9K9mCCbKuK/18dYII15J7Pda8sbUDRX72mg2MVvPM1rqYGsX1ArnXZV1V2X3pBVHG60sbfNsUv7NuELO2Xxrb1BTZVMIbS0UL6Rg6ToQD+7/D8c8umo4ePfoD/3bv3s3u3bvP+tmRI0f+Lc/3//hjoelnRVMUJ1y9eRBTCSSfJGIfX9Twe8sLifVCsK6/SBgnnFruyKKkR18pV2dJd1Ip0pQkyVkokeHmqSvhLl08L6PVe83L8IIoS5Vfff/VPKR0pJQWZz0FG0Ob2sWaOOzoqJSia+noEIO1/QUswyCOY/Eh8kNRbBlGxskoOTLLXmn52vlWlE2781fRMUo8aF9CnAix3T1DkjpYzpF3TObqHl4YixGekgU+iGJKOZu8bWUL2plIE8Cw7pB6CzYDZVcczwuOjtJYHS32Fe2Mw5ASZfO2wXzDy/hLBdcU/pQtRdvSGWGSlmGcxYOw9MILZJv/lqFypvIxlORBGYZi/XAfnyj/DAA38zV+Qt3OZ+13M5bMEVbXwU9/k4fdy4QkbKuM75OqGc+bqMrGmbNwrPQzmRm51jINmtr/KM0xLOlgZttUWaGLUizt+kW+MP52YhQv9v6Btzc/QL47y28s/io93SkWnXF+o/IemmaVQG/yRcemv+wyWhWJs0IWmyRR2cYtCJ1iz7qfpD52FTGKr+VfRieI6ARxNuYRUqzSROzU7kKKppyWQEthoNg6UmFSd8G7Jnu5aG2vRopkMR+pyL1T6wSikszZjOr7Ya7hsdwOaGl580g1xyXr+7LR71hPjvMnquwcr1LU/K40o7DlSXOQquQ6vjw73VC4XKnirNENafmrsn/53ZicJfcuusgaKrtcu2WQFT1yy9mrSFNZo1zBGcq9xZaPr++pvP69qnaSTjfCSKtA690A0zQY78lnTYRlSCFbPaNoCmOxoqjkbUZ1wHFaLKQ8KF8XiiAbZbUgI8Wia1HV5q61TpBJ7g8VLgSgb+VJ7EjQz9GGoCFPm9uAJFPS9pdchjVSWdIFZBAJJ3DjYJGCIxl+vQWLMJH7upCNzWTtG6ysEv9BDEyLjimRKFGcOdmnliLnrZHx3qahMmv7C9iGFKuVnCDtjmWy0PKy90mbpL6Cg9M7TnXXq1Aark/Xq42DJTYOlfCjmOMLTTpBxKIl0T/55qnMsLPlh2IY64UoFCO6aAork6sGpXqvgNXxtB/GmZ9ZipTuTnZwRE3K86NMZh1JVXBtk7V9hbPMc1c6YrHSDaJsKpCz5Rnp+FGmeptvePSXHAZK4si/2PKxTJOCa7Hc9pmudXD1OpgimW09WjMNle1V6ffjhREbB1fpFHEi5rmGScYXRJFNQv6PG8+lx8rKCrfccgsDAwMMDw8zPDzMwMAAv/ALv8DKysq/wSn+xzq6gSyituYE9JccBsoujiUbXEouPlNKPFzJsX20LChMvStp5/ZqtAKsokqrAZ3itWIoySBzzFWvpqo/A8BD7pWEsfjrdLQxZhrzAKsoU1ETOUEWYimwBJZNs+bCWNydU1XJpiEZsfnaNC/lCqWbVzUvBUmjG2bqoKIjHeNXyq/h98//OgeN9Xrsd/b1GK1KZlYrG8+JT5QUTbLBLersppxtZvLrM/8+0sRtgfpXPa/KumAs5URVZBmiSQ8yboM4DyvIxqapqaFtGpkMGkAZMn5Iv5OJvgIdvZCm6MUFk1WGSjkc08i+564f88SpGl9pn8d3k/NwVMivGX9NUXk8bJzHvdd+hm7v5ozL4RiiKExRMT+KuXCiR+6PnI1tKA3Jy3fjmKsybAl/Nim76WZnYhviy9PRBoZ+GHNgzY/yJ32/SoDFc8Pv8Net/8J4dJJle4hPbfkwQWEYpWR0FydogrnJuWuqGcKllF6kW56O6pB8s55inkev+hjv2/L3HCtdkBGBU66NNBEGtrWam5aeq3ADzQw1WNOTz+TqJdeSMXKUFrwSEl3J2wSRNBWVnMX5Ez1ZptWO0QqvuWSCn7tuI6+9dJIxLSxQSgoFyzQyJEWy7OTeburvwjAUoZ4hBnFCEIrH2WSvjJjqHUHpBEkzs+w21zYI4iQb8VXyNkutIGtais7qM1jO66JJK+AAlpp+9rzn9f3WU7AzfzRbu8+39cZsGYoJPSasaLsHL4zPQqqz8VzB4fINfVww2cP2URnXpKOStOhOkHOp5hwuGLqAc/rOp6KVf6k1QjVvseyMsWCNYCQha9tPYEdtCsuCNB1wtuPp794wBL1JOYhpQ+SHYrRYyTtM9OWZ6CuCNlwVqfrZo64xXeydrqdF0ypygl5DFpo+SYIm48t62ltwWGiKfcG541XGevKUcja2abDQ8LJrnHL7/jFVV+rM31e0GdAE6jAWPt2Czkssd6bI2asq0Jl6l24oWX4jsazTUXUy4zWScvuShGGNvEQxWpEdZdSDIIbP2YI21Yob8BIrExUJuiOIjqydQlL3QrGPsAwjayzaQUh/ycnibkzkWR6t5vXaHWf30b7puhT3ppntHSn6aZsqW1s1lRTbNLLnK73fTN1UKyXNlR9ofzgUff8beDTBv7BoWlpa4rLLLuOv/uqveNWrXsUHPvABPvCBD/DKV76ST3ziE1xxxRUsLy//W53rf4hj3UCRNX0FkZrHSRanko7gUiJ4SsQWAqnL1pEykMKgSba4pUTwVD2ySuCWzbuszetMU2VFE0gQ6JwzQUdLi2frvkYhVpGmtFtIrQYAegqO7rxVlnOVysFT80eAdf3FrNAR5GDVT+nMCJjF1iq8bZsKZShxJzaEK5SOKc48his5GhrKTjRvSlytycZrc40UZVolgafHSCVHGCW0/DDblAb0AzlcybFuoMD5Ez3ZdVC6cKp3A4JYTCFd22RAI1ipf5JtqrPGc+m7pjyL7aNlmjrXK+Vjre0r8v+39+ZhdlVl1vg687nzrVvzmJkkZCKEQQaRMRAViaJNY8ugoN1+AVG6P5WWQdCGxm5b7UcaWxrEbhX48EOwxaZ/th8RGaKgBAmEkJCEJCSpDDXXnc85vz/evfc599a9VbcqqVQl7PU89UDueM65++z97vdd71phk25DXaXdNXGTAE8B/t69EkXQ+f+HdxG+HLoNr/cSqT7v0CSqcX88Swdr1hPp/OOao+iqj2Bxe4JpNCmCYwEAikcTGv89IiZNrnnHN8jNM3uJt1suxFcjtyADCxby6FWSeHDOtxFqmiUCMr8DjcogxzXHSL+FObQrCtCXKbIsFpBgHUW7BgrIhFqRsA2hvr2sgxbpetbGbmmq2L3zY9VUFbpKnCZDU9CatAWlQlFoDDuex/SPVAzmyGCXbxZitoHmuI3zFjZjfksMC1pjaE+GRIAS1DWKWAbev6QVH1zaRiVsdo0LDnXaceK4w8agy/hiyRBlNAEiBDusszNs6Iw7RpymbN5hTRPUbfdG94AvNxBQ+Y/bBmva8JgsgIODwzlR3uNzQkddiKQkHN/7kBwESLSzkwVyMdtAxKQypBkwXDdYUJgMGaiPWjhnfpNo7uDZ23zBFSXJdL6IunAI1y65Fp9c/CkUHOpIjTKLFp515SW6E4qvYkbuDSiei36jGT1aI4ZyjqAJxCxdlGRMncpHBYcaY3gjRWvCZvIE1NbOfy+egetK0TkeZPQHEqfVmdkM8PbBYbgumX7bLDADqLTeO0wyH131YerKZCXZg8N5sWntC/jdlYPf47zLrKMuhK5UCMmQgW1F6maO53aTLhoLvnf1ppEtkEFxU5GCpkK8KzCHKWiM2WiK25jfTAFs0SW5EF4G4+rsT6rn4amOG/CbBbeIJhXb0NAUs4R0i+N6Qsw3VyBJEkNVEGaZpnTeEbpygE+RUFnp23E9wTl7uydNTTWG6gdNbDMeMjXYLNDk2faopYtNP79fNE0RXZG5ois6U03dV+GfaozLRuWOO+6AaZp466230NzcPOK5lStX4o477sC3vvWtw3qQxxLOnd+IV3b2YeMeisrJBFVFochVp2nBaYiYGMoWEbF01EcsNEYtJtJHBG9ehhPimGynW4nAbWpUJupRG8Rx/DF8BokGsh64XNERA7z8M4IDm2vyeEy/iHc18dIBv7lsg3Q5soUiDgzlkcm7QmAwaDbcy4K7+oglShm8HMFLlnxBBsCMQTWkc0UYuioE2IouKe/ySa+b7SwrkQcTIWo79jxSea4Lm2gMvO7DyzsA0ISqKDS9eiDl9aLjMb0oIjorLHjkmaa+dAFFxxXdbABZL1x52kwhk5B3eJeVgqa4jbqIBUWhVPZ7ZtcjETLQxzqDdjozcXPsbgwPD+Pp/ALMtMhx/XfbeqgzjB1zxNTRHLfRm84jETLx4vZenH98M2K2gY+u6MCDz23Hyzt6RWZGCP6xNl/OZaHOLD/44QbRADCzPoynD5yMa9O3Y7X3azwZugRzo7NwUmscv9vaA+5F5nme4N0Zmorj2+L449s9IjPDtY54Nw9AROywqaEhZmFXX4bKAnELJ3bV4Y9v9xDRnrUfc/BMk+eRmN7xrXEi+bKoyfM89A0X4Lq0cBlM3uK4lhgc10U654luMd5VxjMVHL6CNj1+XHNM/Js3CRQcF0NMP4jew1XwacynogZSERNvH0xjV29ajEFDJzsQ0pmirIeikDCl43nY0ZOBpkB0znFw7TaRLcmRVlDBpfHQEDVx9ekzAQX43dYe5B0PdRG6p3f3ZeAyzhnP5EUtEmLdO+BSFM3vNRY4JgNdgxxR1r6eLTqC/0LZDhchtglM5yk4a0uGMJApiizCq+YyvBdPobPvRXTMJ67lO7HFcF2XxBs9EgFVFEUETcEFM8LIzGcf14gZDWH8z0YqY4UMTXhz8oClJWmjh6n3d/fnRCmaxyDZAmXkYxZ1anYP5lAXsbBp7xB0psvGG2rrGMH94FCOPOg8D8NMq4hzp4LgG0Xb0Ji1SBEnzqhDOu/gT9sp01SX24MXtvaIzdS6t3oo26h4SPGgKdYJx+0TMhWOS1pvXSzD47i0mS46vm1QwXHhQEfP4muwfyiPYnpYlN1UVUFXKkwcTrYJrAsbzDTbhcEyqQMZMqcuui6izB5ndz9JRfSnC0wZnzT4yLc0L2xz+tLkYJAu+IFjsAMTABP7DHDoPE90zvH7h69B5fflVGJcmabHH38c//iP/zgiYAKAlpYWfOMb36goRSDhI82sQOqjFgxNQX+mCJ1xSPLMNkDXFEQsMrtsjtuUZnddRsImEh3PNNGESpyiXNEZIRWQDBssC6SiR/MzTb9WiA9DNgkKU4dlHUNWaXkuOGkmwwaKngeHmUdGLB0ddWFBtg5O7nMaozB1jZnrcq83yoJw/aCDjAPUGLNEizPgq56rLJPCwYOpYRa41IVNtDLF5v50UWRQ/EzTSPIgl/UH/MmY18t5GzVAix831HTYhJ7JF4Ure0PUggcPrktcg4hJaX/eqSOO2qNFMmjIyRWeNVVBW8KGAhKP47yCTMGFZSgwdAVb7UV4SVkMBUBjjK7bzp50iTyCZahoSdg4dXY9YraO1/cMiN8PgAg2wgbtlnlpU2VkCV5eoICZmLs06RXF7r29jjKkr3qz8TV8GlvRDstQsagtwQIiyvR5IL4OnySXtifIpgM0+TmsZMN3xZx7dnwbdftxk2NeJh7MFVmGzC/DATwQIuFX16OuSs7TAADHo0DU8Tyy4mBq1zPrI2In65QFOjz45wh6tQXBFycFNLkPMCudoksZuqLrwvFobDRE/DZ8Xj7mSu1+oEWbFhJgpMU5y/SSLEMt+X5OdvZA98lQtkjlaFYKD1sa6iImEqyxgkpPdC05IborFRFBfdjUEGMl7AODeSRDBln28CaI0MiAwNIpECgwK5SQocEyVOzpp8+n91IGZXlXEpahMr9C4E860zTa8wqULaQAvze+FL1pCkBiloEFLTGybGH3qRq4/HwTRQ0HOnXwKT55Oc2aT3jWjRPd9/RnRBcij8EMxo0LWToipobugRwKjotX3+mHbWhojlsi29ESt2iDy7KDRZfpp7Hu03Lwey5kaAGeqIuPndQJJGfQtcUATDcDeCTiun5nLxzHRYvWD9PLw4WGQrSdDJoVBYZGn5HOu+isC1Pg7tGmmbwNiSrheMQDOq4lJpowdNUv0fOgyXGBnOMTrvPc4cDyu4QzeQfJEKnRF4oeXn2nHweHc0yYUmXuA6pQn7d0yjT5lAbKNPGMpM02UwooQy86sl2SQ9FVCCkRvqk2A2vAVGNcQdOePXuwaNGiqs8vXrwYe/fuPeSDOpbBy2Z0IyvoHc6JyTPv0IA1NBW26f80dRETA5kiGmM2dE1hnAT/+ZChCWsPnjbedmAYAJWbTJ0Wpx6NMk37tCbssefBYMRAPjHtG8rBcVzx775A9x1HjPlOcdFHXVVwyfJ2RC1SDQ7uCGcHSH55x0NzzMaCljhpLZVlmigjpJTcQBrjwTj+5he2oeLtg8PUXm7oOGNeA+Y3x1j3h4dtB4bhuB4OsKCpuUqbaiQQNHHeBgCxWwYgSkqkXUIL6+5+6nizDE2IKzrUkyx27j3C3oEOnC/inGfBSwM8UOlkelC5goO+TF4EDZZOkwvnugCkhG2xXW7RoQXR86h8EbcNxG0DbckQHNfDS9t7xPkO5ZnQKctSZAp0LPzn4pyukEEZFENVGAfGzzQ1RE0RhHIRxZn1ETI3ZpMfX8gtXRMTNN+hqwrEhGiyElTRZWKcAE6amSIeEiMsqwp10HAbGmFpwa6nZZAwZ5FZfnBfKm7pUWAWH57nIWqR8vRgtoD6iCkyNbxlvGrQVOVxy1AZwd8r2REPZYswdYUZ5SpC8bjc/oFLT/DAJZN3MJxzoAJM/4v0afoz5FsY3IzwIEYBlQIPDudwcIhKSYoChFiwqgaaEKjcSB1QADCzISw+T1FKx+7ijgQ66sKoj5pMp2lkQGAzu5q8Q16ZMdY1t7N3ANf9+jp89n/WIGT698/7jmvE/OYYDF1Fr1aP3vBMUmvduQ4A8PvCXKYDpqIpYSMZNoUUAuBvphT4ZPRM3gE8us9obFELPTc1NzQVEdMv8e0dyLLr6GfGdY1I5qamImLp6O7PYtPeQWQLDlIR6qzk920qaol79uBwQWQ0QwGV9iCCQRMXkxzOFREPGVg2dwYGmbTK6fWDiIcMQU4vuB66lP0AgEGrGdDIs00BoKvEg1NYdykPbAezBSL8842LR40ovCzs0RQlNjJd9WHGRQMcx8PBwZzwuyPOrMrKc7RJNHQV85rpeH/75n5Qt20YuqaiZ5j0oYQciEZdh1zYUgEQNqijM2QSjYHGm8K0wVRxjIamwtA18C0nnxtM4yjNNDU0NGD79u1Vn9+2bRtSqdShHtMxDa5v08G6afoyBWbm6ZFUPCulBUtSdWHKUjRETYRZgMSDAsBffIfzpCDel85j/yBJG8xpjAq+0Yv2mfidfhL+PfYZHN8WR9Q2hEYP78bZ0ZsRJbZgiY9DUykzpSg8GPAVh0NlAztmG2hJ2AgZGusE9C0KkmEDr+3uF4rerWVpeF6fZ+uSuLEsQ8MbewcRMjTUR02805uBoiiY00A75637h7F/MMe6ytSSYw+Clze5bIOmKoL3wcuUvem86ErjzvZv7B0kt26TdIS4zpHnQRAzOU+LiauLoIlr6vBgiqf0O1Nhls3y0N2fY8fgwGZqvAWmdQLQ4n18a1yUfhSFggRTU5FiC/OKGXUAgNd2DwirA+4hGLUp05QtuAgZqvhcvqirKhfA873WCiJw0LCwNSZKG7pGKr+KosBm3X8AROnNCowHgz/PUvr1TN23d7jAhO/IJzAeMoRsAg8eiw51B3F1bB5Ach2egkMCelHbN6oGqEEgU6AOQK5PM5ApIsO6xBRFwdsHqVwmynBlYzjIaQoiZHBOE927PIs4lCvC0mkXze0idE0dwXnh3Wd8qX2nN4Mis6vgPKChXBGD2UJJ5xxAXZCcXJ0rklTCcK4ouGya6nvb+b6DfocuULqhASgQ40HpGXMasHJRMwXhocoBgaVTprU5ZguOkW1o4n7OF13EbANhS8ee/iwWtMRZdp3OY1tshfisomrhT04XwqaO+qgvMBtsMeeBsgt/niHzcgeu6/vwZRl/kpsnh01NzC17+7OwmM8b/52JKK4Ijs++wSxe3kG83KUdSVg6mRmbTLmaby64lhLgUxKCKDBOIECWSpzywLlWiZCB/RqV6KKZd2DpJAFAgqwe2hQqOfbbbcgVaeOiKoCu0b2hAEKKQ1WAfQN5NidQsKaAAkLeSUm3ns85TYQMkmpgdIitB4cxnKMGBe4HSMrwRaTzpPy+mNmq8Pvv5Jm01g9kC4LfZzBebq5AGwnHIZ6SkMuwDQAKZjAe1EC2IAI5TQU0TRXaawCQZfefoflz1VRjXEHThRdeiK985SvI5/Mjnsvlcrjlllsq2qtUwzPPPIOLL74YbW1tUBQFjz/+eMnz3d3duPrqq9HW1oZwOIyLLroImzdvHvNzv/3tb2P+/PkIhULo7OzEF77wBWSz2ZqPazLBA5H2upBYBFyXeX85ruh04oPMZrpNAxnS9+A37S6WZgcglLUHWevs5n3kUdeZCiHEum50VUHBSuCu5B040HkhTptTTwJ5DgU+qQh5lG0/MExq1gENmHJOA5/4XNbmy/kD5UETQCU626C0+TDza1MVBTt7MvjV693wPOCErqToouBdIrysYOm8/Oib/W7dP4SQqaEhYomJaU5zlKXni/jNmyQK1xSzR5DAOfixBrWugpMxQLtum2XPuLP9tv3D8DyPlQR93orneWhlO+OegJEo4AsA8h0rv/nrIvS9pOFDHl68vJFjGi+mrgnFdo8d79KOJLX2s+5AhT2+vDOJZZ0JnD2/USjsvrS9B92DWSgsi0dddiraEjZmNUaZcF8pkZXbXnDZAZ5pMnQVyzvrRHBkaIrokrQNzi8CVIUyYfx6chsEg5HlC44r+At9mQJMXcWSjqRogtBU4kZliw6GmZkwz7oBpdkfi5VrHQ8iy8qvb67o0KTreYiFfE7TQKaIZIS8Bt/uGWbXu1qmqTLXKWRoUFXyPCw4LgZZI0Y6T78bmfLSzj5kaLANvSTwKufavbann0objKgct3XkiiRloKulwZyqqiKrmyuS9ccAa4RQVepm5b8Zj3d0FpTzc2yKln4/D3A436yjLizU9yvBYkGwrhEhneszdQ9mhaAticFSySvEMud8cd0UOkF81k57PjzVxJL2OPE8M0Xhj8jB72KXlaAAuk8HMrTQa6oCKGSpMpwjXqGhkTRLIxMwpbFM16AlbmNmfRgndtURrcEkN4OCQ9lHQ1OwvDMBU1exgDUIhE1DbC4ODOXh8KBIH7mM8jlEVRSRxQKojAbQnHqQddDZQ7ugayR4W2Tady0OBU1DoXYhl6CpCuCx31EB8+gjS5kDQ1kmfKzSmGcNOrxbl18/fu0A2rTxcvb2A8MYZtZQiZAhOvoODuWIDK7RBpxn/0xdxWmzG4TUgafw38nPTHYP5Nh97peXz1vYhAsXtQipgb5MAWFDp3KwRmVT2nQwePSZIcPvnJ1qjCtouuOOO7Bp0ybMmzcP3/jGN/Dzn/8cTzzxBP7+7/8e8+bNw8aNG3H77bfX/HnDw8NYtmwZ7rnnnhHPeZ6H1atXY+vWrXjiiSfw8ssvY8aMGTj//PMxPDxc9TN/8pOf4Mtf/jJuu+02bNy4Effffz8eeeQR/O3f/u14TnXSwB2kG6KkD6SJLJPLDGBVoZ566qwUzlvYBEWhNveQqWFuU1TwQDiZN2KzGrGiYGdPGpu7KWia10SkVd6Vp6mUjUiGDNa+6TEOiofjmqOkKpstYEdPWnA0TF0tCYY418EDRGAj0tAVdlxzm6KsM4SCw+Ec7Vx+/QYFTMs6Ezj7uEYRJJo6qT4XGWcqxEiwnIPTl6ZaeVsiVNIe3Rixhd7O7j5GAh9V18MT5qk8aAoH0/5gQRPjzdiGhq5USAQR7UmbODFst+nBEztaHjTxRYq4LZ7gRvCdNA9UkmHy9nI9rjDsIVekrBz9dmBdgpQpSEVMtNeFRCaDZwLakiGcu4DI36fOol3ghncGsOGdAeHjxScjno1wPQ9WgHMBwNdqYpkekW3RVCxqi4vgJRUxxe8WMlWxazVUCqg5yXr/YA6uR23cNiPhOi5ZwhCvDljQQmOVj38PFGSmc0VhXsp/Hz7eTJ1e67Ag2zL4JoTOI51zRMYlblN5Lp130JPOo4EJl+7qzYhFHhilPGeUZZpY9xz/TXoz5FWWzhcFT4N3wnHblKBODd/88L3ztgNpqKrCpAUUmGyz4HokIluJU8XLUb4XGy3QQWNevlxqiuKXeKOm4LJxkGUNBegHhvIVO2eDsMUGg7iUsRB5KVKjg99xmYpYQlQT8LlJrzJlcAB4O7wY81tiaI7ZLLijrqnGwP3LS/ScCwfQODgwlBPNDYUiCbL2pwvMK47mLm4TBFAQwIPCT7xnBmY3RpBlHme80w4AFrbG0ZzwJRnCJl2fep5pGs6JwNSsQFL250SV6UzxTBM9ngwb6LdJxDeSfoe0rhTixHke0MhI4OlIJ95hG2SD6eEBtEH4xZ/20L3JburZDREqDTueCD7WbtonNKuA0uA/GtIF9WBnb5px6sDcERhvjnX6GpqK+qgpdKwWtcXRliTRUcf1hD5dwXF9l4rBLIrMiJd/b1PMxvFtcdSF6Tr2pwsIW5rQCFQUpeQYXY/f56Wds1OJcXXPdXR04IUXXsD/+l//CzfddJNImSqKggsuuADf/e530dnZWfPnrVq1CqtWrar43ObNm7Fu3Tps2LBB8KjuvfdetLS04KGHHsK1115b8X3PP/88zjjjDHz84x8HAMycOROXX345fve7343nVCcNp82px2lziJDdM5zHW/uHkGcBgut5wg296Ho4fS5xkFyXm4cq+PRZs/Hkq3twcCiPN7sHsbyrDtmCg7qIAdf18MrOPnQPkM/RHGYjEjQ55HYWdRETGZbBIKNNG292k9v0uq09YuDzMgYH15EBfLVlnj2zK2Sa+MJqMg+snb0ZqAqwoCWOJe0JnDO/iREcFSYuqWIg40+yfKdOujJhDDF/psXtCbyyq08EOKkoKQdzUjFQuXOOI1d0fSI2y3LZgUwTGbGSXYLGWm6XdCSxbmsPVIXafodzRaigLJQCRZTHeocL1I3F7g9NIUucwRzpmohMEyvPJUMm4wR42D+Yw8z6MDx4TMqBdFc8D8JI0/M8rJhRh427B4SDO4CSwKczFUZHXQi7ejPY8E4/TF0lOx3WpVN0XMEPspk1RvBzuK5PtuBnmixdhcnIsbt6fDVffu0Ulo0zWMmAj5t9g6SZ1RSnDsmCQ8Ki+4fyMFQFHamIuPY6y7R6oPuDVNopIOJBUy6QslcVitRoLFLmhS/M/Fx5SVlT/Q6y+qgJXaUSxO7+rNjFlo9hHjBa2sigpZyTVCj6GlX8mCxdE5mIqK3jwFAetqEJzRk+h3JCdZSVRgAK9LoHaHNUflyciM6Pj2cJqDOMHvc83x4JqgKHnWNjdGRzRMw2EDZJyuLAUE5kCxLVMk0GBd0igNVUdKbC2Nk3QOUk5hM5pymCfQM5sXCbGr3v7WwIeyIL0Tq8EZhxBhK2ARf0O+sqmXubZfMW/x15/4Pnkf4SL53nWdDEGzF4dyVApb69/VnsG8yxjZmLtmQIG/cOCHPvGfURobN2QmeSzX1+STNs+ty03oCGlqFX4DPlSykLItMkynMm3gm3A71AMr8bms2bCqgzuaGwmz4n2ilK9gZbFyhjTDYvsZAuuuLqo9T15zA6Q89wHr/f3oPBbFHIngQ3thbjz+adInb2ZhBmfMa4bSAZNtA9kEXeYdphGqmrNzLBUc7Ja4hZGMoVsZ/Nu47riSYb7qHHDduD4BnMvkwe85tj6EvncWCIstDBjCynWehacCMwtRi3uOWsWbPwX//1Xzhw4ADWrVuHdevWYf/+/Xjqqacwd+7cw3ZguRz9CLYdIAOqKizLwrPPPlv1faeffjr+8Ic/4Pe/J0ParVu34pe//CXe//73H7ZjO1xoidusROYKsUV+c/GSDgAM5YtMkVpBKmJiCastb9o7CIBajusjxBd46e0eeJ6HjrqwWAj55EMdbOTHFbVU4eVGPlIKmmI2DE3Bjp5hvLiNSMTlnKB80Q3IAVAAtY+ZBVcqzwHE3zAZX2IgU4DFzGR5Fo2D69MoiiK64GxTQ3OCHOZnNUTEDnhha6ykpMQ9xILdcs0VOueC59FVF8blp3ZhFjP55dcrk3cConU0cWaLDuqYWGDecRC1daSZro4wYNYoM+R6HvYOZEWLsKZSwDiYLSLLdG3CplaSXeMBV18mLxzaG6KkMWWoqlBsL7BgJ5Pn7uGKyB6VcyveM9vvluQaUHxnyAMiXgINZu0irISX5+W5QJACAIvaEqiPmiI7xM9hgPmACS4awz5m15IMEZFcVRQM54nzoWmK4PcBlAHTWYaqZ5iMkYtMVT7C/M5ygYXaYaRYTVGYKKYrFtHhPFnUWIxYynlE7/RmYGiqWAA37h4Q5P+q5bnyTBO7XopC1yVfdHBwOA9NUdDOgnDXo9INX6hi7PhTEUP8VnxBLjCz33BA/ynOuHak9Fz6/byMmWMRBFfc52M4V3TYWGM/BGscACo3R0SZOXK+SMT83vRIPmMQtq4Jo2oFVNLlmZqhrD9f8Wz3vsEcafUY9L7d/Vn8fPbt2HLmP6G3/X10vZhkCqct/JFxiwCa47gKPBcDBagjjm9qckUX2bwjeKPRQGYvyGuyWSYjW3TRzUpfibAheF6zGyOoj1rQNVXYxwAUcEQtnQJGlvkFUNKUwxGUGwB8aZgMU8JPhAwMh0nahGeVuFaTAqCBPZaLdlJA4vm2T3VhE8u7kjihK4lFrXGE2O/meR627h9CjpXDHZeuW75ITQbB4wGAwZzDXAIUHBjMC5NmbilFx0vZpwZ2PXjTAA9G+VjyNyd+M1BvOi/mqHJOIP/8vnQB9VELLfGQ2DAZTA4GABzXFfzBoNzIVGLcQRNHXV0dTjnlFJxyyimTQv5esGABurq6cNNNN6G3txf5fB533303du3ahT179lR938c//nHccccdOPPMM2EYBubMmYOzzz571PJcLpfDwMBAyd+RQHPCFgRgIri6CLEbOthOzndpXNDtuGYi4+7pz6I/TR0OMVtHxNKxuy+LgWwR8xjXBPDLJOTKTingN/cOQ1EB7ldWcFzUR03UR0z0pguC0Fk+aXIFab6LNTVVmJtWKs8BlPq3dH/Xt7A1hvPLAib+fk1VGf+gSG3Emoq5jXQuL7x1AJ5Hu8Zk2CzRRuHljsaYhYhFJdBqfAxOJlZVRSgGA37Qly44gszdzlV3HQ/DOYcFBSr602TD4TCujsn4A43sOLhBbsjwg8AhZlJp6eoIBWHib5B1DmnaKGiO29TGLzoJgaFMkcpWeZImUFlgpii+vhZHR11I2HdQSZjKY47rkUhnjiZE29DEQgIAYavUSqWcDL18Rh1O6Kxjgqs0YfYM5ZEtkmKzAnCzMQCkmeW4HsKWJkyUe4dzTDDQKMkoQAEFiR4pTPelC2R8q6tCgiAXOJ4CI8VqqoKhbBG5okP+VRrx24oO6QaZgWvOuXpcyXjzvqGqRHC/bDcy00MnT91uuaKLfQNZqCp1WQl/uUB5m4/HVMQS9wplHSmIjTPLG345YjYZ8xJBt/ReCTPzbP7bZAp03jwYyxddDOcp2NLZIsQ9ASsFQjFbZ52IdCy8aylZJWgyNEWUQXVNRZJJfwB+aao+YoprvKc/i5ilUzt6uoBC0YVXPwezz/2UKFkVWFZjZkMYYVPD828dFJljIiPTWB/OF8U1PTBEFkw84COeExP2tfxj57zPfYM5nxtXcITkCR0rlexWLW4V76sLzCFhk+ZfLoTLs+PBuZqjPGiyWCkZoEAmETIwGGoDADQ53XBdIm8XHQ+GV0CieAAA0Gu1icCF/BSp23flohYkbAPxMHU4Fl3aEL99cBiZgsMcACiYJIkWGvM865nJkzQDl7fIsTKvqiioC5tijKRZaa6hCtWB2+vwsWXpvqk2dRa7JeU5Dn4vDGSKZLmlKUKAVmeZZgCCt6mpR3Gm6UjBMAw89thjePPNN5FKpRAOh/H0009j1apVI+rxQaxduxZ33nkn/uVf/gV//OMf8dhjj+HJJ5/E1772tarvueuuu5BIJMTfeEqMh4KYpYvONd4YwCfM0qCJBjxX+uVGpgDwxt4BalVWqMw0lCuiN50XBF0Aoh0c4ORkBX/c0Uu+SjrVijMFcnyvj1pIs043YCQJPM/q/0QgppZmvouplmlSVRKkbI7baE+GcMHC5ooEbV6G47tJFTTZ8FZXTvrmGQ6enSGrFDpOVVHwiVNn4OOndlX8Dn4OHMEFmy9k2bwjeEmtyTA0laxS3to/hDBbgN8+OMz8xih1zSdzXurbybqyeOZw/1COTEILlFEoF8NrrwsxHykPfZk8dFVFc9xiC6PDNKsU9GfyGMxSwJYvksI3552VdzkpioKz5jUiauk4oatOlGCKrPFguEDvT4SNkvdyTSPePedzN5imU8hgwRi959V3+tGXKTBbGeLF8fGTKzqirT9q6ZjVEGUBtApTU9ActzDACPIAZUN5q7znedjZO8y4forIHATLc6TRQwHlYI4yeQojwWZZNi7EOqPKW+d5FuSt/UNioq+m01S+U+YcFQ9gGUgXB4fzgkhrMlKrrvlB0+L2BM6Y24BTZ6cEaZ0veAXHRSJsiM5UOhZNtIVz+Q8OKqXQBog7CygKRGYk77gYzhWZiTVleFbMqMNxzbERgSHgb8gMluXxWJNHtUwTWePQ/3MRyJY46Y01mHPRYM5FUyyEJsZTyrDyIXe3B6gEpqoKBhlvzfOo27EtGcJxzWQb9d+v7YXjeoxgT1mI4VxRBIdFVraLMBJ7wXErZsniIfLFpCwrfX+24IrNUXDTFfyt6wL3Kf/OBqaVxq2JeFY8iKDcAL9efC4YytPvojKtppCXQcTpp82r66LZ2w8VHvJqCD1eDAXHFd11CiirmivSpinMdPo8D1i/ow+9ab8btSFmoTluCS6ppvqCpVzqpTFmU/mfNTQYTIKhJGhSVSHnUY7GqCmaDEKGxszb/fmVZ5rKM7VRtjFzPQ8ddSF86IQ26KxzzmDZc9fzRDDGmx6mA6Zt0AQAK1aswPr169HX14c9e/bgqaeewsGDBzF79uyq77nllltwxRVX4Nprr8WSJUvw4Q9/GHfeeSfuuusuuG7lSPWmm25Cf3+/+Nu5c+dknVIJFIWyCZqi+Gl09h9O2gQg2pmDytx8l79xz4Aoj3GiqcMGWhCcJ+J5Hg4M5dCXKdBiwvy5eLYqGTbRGLNEdqt80uQCZioriXiB46zEaQKI0FsXMTGrIYLOVLiiTxPgB02NMXqtzW7CrlRYlI8UxVdl5in3loQldnEABWlBHlc5+M1n6mpJsCAyTYGgqSVhCx7Fzp4MQqaGmKXjnb4sugeyogZvMM4Wz+zs7KOgiZdL9jHhUJe5wpdfg7ZECCojDw9kqTzXkiBDVdLDop1q0QM2dw+hN11gv4VXYuBcjpaEjU+fNRsndCYRZZkMXuobztHutq4sgAuXEMFHluf4wtybzuPAUA6/2bQfmkq8OG7v8fYBOn+Sf3CFXlFjzEJD1ERz3IJlaGiJ24IgD/jlKpuJYPINQ7ADyVfvpsBOAd1L+way+O/X9uCNvQM4MJjDUI4E/0Kmhoipi00HB2+h7mW/NRfbDCLnVC7b8d+ViLM6hnIkTOq6FNCETU1IMfAgxTY0nDIrhbhNulYmywIVmQhgImQw0T//GGIhbjdUGjTRtaBuKnEN4M8BuYLLNjO+USoXFiw/Fzo/TfDG+P0RtXx+VSXwozRUajKgjtYwlsf+DMtjf4bWBDWXcCmO3kweO3rSUFQy53Y92sDkCq7YGBTZWF+1pBW2Qabcz2454DfJaCqGc46Ya7grQSJE7fP5ooueYT53+fcEt1wBIDrKsqykClTnPyZLMk30nTyA0DWlatCUEUTwAPG6jNcUj8XQo1KVpqHYTRw9KGjzqDTXb7djkG/MdFLu5wbpg9ki3f8KGffmig72DeXgggK/jrowXJYFpQ2Irz8HIDC/WQjpvoGxxTo94yWZJmWEzhhHyKQGAH6fWbomNlkARnCaBrIF7OxJMxFXv0SXLZCxNHdW4PMe3wBpqlJy/FOJaR00cSQSCTQ2NmLz5s146aWXcMkll1R9bTqdHpGJ0jTOH6is82BZFuLxeMnfkUIrWyz57oaPt2KF8lyw+2ZOY1R0/xwczosuK77r2t1fKrHAyy2cF1NwXDTELHL8dnkJSMWs+jBa4rYgltaXtSbnmQinmPADQVOl8hztchykwqa4ceLVeBKmxtS/STGcdEWIlDy7gbJNFEDp4tpddnInLlrUKspXACqmy0vOIdANFoTonguk7duYD5nrEk9JV1XBgdrcPUTlStYOn847ZCasEFE07/jaQTyw5dpN5bo9TXGbOZiT2rqmko+azrJcikIlGQXAL/60GwcGsyg4nlh8o1blgDUIbgjNT7voUDo+FSn9Pbj/HMkalGpEAT6PYU9fBv/16h4UXeLQdaXCaE3arHScwaa9g4IEHjGpNJOKGIJA3Rg1EbH0ku6ebMHn9uSKruDhcNsOwNdu4eUpRSHF4OG8g20H0uhLk4N6waFrGbMoyxDkp6iKgjlNUYRNWvQ81ulWnp2sZq9iG5RJ4gEb79JTFTq+rlQYcxojSEXMqhnYMFNJpsBbY12LtOsneEiwYw7qsgEQmwgXLPOmKNA0VYy3vOMG2ttprPEyeqWgCQCzEvH925IVrEGC4BlC3pkJQJToAIiONV4C386EZ8OMG9QznBelUhc09xkscG2N2zhnQSMA4I9v97Jzpqz8cM4vz7keLdzxEAWiuSIFYMDIzj8uYcCDlmzeQX+a/r9ap21wQ8G/sz7qZ5psUxNm50FwvmhwIykyTZwMHjZwQCfZgaZiN1IRA6auoB0kmXLQaMWBoRwKrm/3ozMy/GDW72qNhwxWmiT+T2vCFsftelShUBVF8EGBgH1V1EIyYrB1wc8WxSwdqkKcJl1TR6wDHLahIh7SUXRc1DEJg4FMsSSo1VVVrG9P/mkPfvqHXdjTn0EizHmc1DhTcIi7GGKZJcflzTC0YZSZJgBDQ0NYv3491q9fD4DEMdevX48dO3YAAB599FGsXbtWyA5ccMEFWL16NVauXCk+48orr8RNN90k/n3xxRfj3nvvxcMPP4xt27bhV7/6FW655RZcfPHFIniaTmgRmSb6KXhqs+AEM01sZxIINmxDw6zGCAaZhUJd2MD+wbxQsd3CtJo4sgXaVbmeJwxQG6ImoraBtqQtav6zG6PQNRUz6sP46Ip2sTviyBddUaKzDU3sxIHK5TlOYk+GTSxqS+DkmamqWSCeaSo6/mLJywanzE5hQUsMZx3XWPKetiRpUXHSNVBKoq+EICem5Pu5bUe2KLJ7HXUhIibCw1COhEiXdyUBUPq44PgaQum8w9SfLRQdkhjgnSQ9w+SpxX/furKyZ2uC1N5dNnnZpoYUE4DkC3IiRNYGb3YPIld0MacxInRgwmblTFMQPNOiKX73o6GTbUcQYSaeqCi+bALgB5lNbPF5eWcfugdyiFgazprXQHyPqEWq8QD+Z2M3tnQPMbsdTSyu/HNmNkShswWAb2jSrHQRZXYq/HrFLENMxDyQyQhCuIbFbQmcMrMOyzoSmN0YwezGKFIRE41xmzJNloZ4IPMQtXWkwiaSYZPKpmxMl6OaFIHBWvs5eZePHdejRVnXVNF5Wo3rx0uGJ3YlsaA5xtwAFHieAjBvRz5OetL5kkVDmEnDw1C2IBSx+XjLF10RHPDP4It1+bjnoPKtLhbjaqU5gHhqnG/UkrDF3NQaEKTk2Ym2JNP2YSVLrp/WM5wXWUYun2DpZOatqgrmN8dKaAa8vDqUK5ZwwkIGZX91FkQLq5qyjQnn33C9tJ50XpTRWuIhVEJDzBKq6Dzrxkt5PNPEJWOC8DlN/rWOBFTBAeKLHTSIP9WKbuSKFC63eRQ0bS02CO9NngXlWZiBjD8eCqw067GsWzJkisyZ43pss0SBEt9Q8kxTQ9RCY8wW5bkw29zwjbzr0TlU47ZZusaoBgqOYzSKvnRB3GtF15ccyBYcoTm1/UBafGZfOi8ESUmhXRe/NTen1lRl2kgOTGnQ9NJLL2H58uVYvnw5AODGG2/E8uXLceuttwIg25YrrrgCCxYswOc+9zlcccUVeOihh0o+Y8eOHSXE8Jtvvhl//dd/jZtvvhnHH388rrnmGlx44YX413/91yN3YuNAE+OtcCVVLnQZrAsPVDDOBYjbM5AtkNAae/mC5hhMTcXm7kGxEGULDt7YMwgFNDE2xyx0pcLCid7UVWTZDTiXZbCozXvkZE+u6pRdCRmaWMCAysq4fIJKhAx8cFkbzpzXMOI1HCHW3l90fdXn4M2zakmrmLAqge/Gxso0VVsIBaeJdZXxbpmQ6Xc02rqKE7rqRBmnUHRhm7Qb4tYk7XUhFFwSPOQ7f8+j7+X8svJSUWsiRJOy5yHvuGiMUqbNMlTfRsaDyKC0JUOoZx2DiqKMIIFXgu/jRcfOF5xKpVzL4EKU9OXcoZ5/Dp8A0/kiLlzUgkVtCSxsjaErFULcJlf3fNHFO30Z4VFI3CsdC1pjOL41jllMxb3oemKRGcrRwsnJ1cFxwH8v/vvx+8IyVCTCJmbUR9BeF0ZTzEbIUEtU5EOGXpJpitlUtuhk5dRM3hkx3j3PE2OpPNAwNKYUr1AZk19b1/NEyYcntqtlmkKMWNxVH4GuMS8+FlgsbI1jIVPtDzEB0z19fvY4YhLHpTFm4bgWuudNPVDCLDqibFSeJahmfhpjWk05kWmqvFB6nodn3tzPuDMWopYuAqzmhIane/8Bzw3+E6DQ/dDGhGAtXUNXvS8v0ZvJi/kBoO5HS/ctjRRFwXkLm8R9yTNH3PuRX++QqTE+mMruD5eV7ErviaY4GWPz1+wbIK0lUxup2M4RtXT82ckduPTEDvEYedKR04HoMivr7OKlpOBvX16eS4QN9JgUNLW43WLeaXWpPNettaCzLoSuuhA1Q7AMrOMCvekCm1NIAV1h/FJTUxELGUgxOZUiy9bwsb2d2WvxknRjzEJn0haNAiHDJ23zMnF91KyoCs+vhWVoOH1uCqtPaBfdwzQ/eiXlud0BQeZ3+jJifPVnChhiPFpdo6w5NxpvSVC2XVMVsUZNNaY0aDr77LOZaF/p34MPPggA+NznPoedO3cin8/j7bffxte+9jWYZungXrt2rXg9AOi6jttuuw1btmxBJpPBjh07cM899yCZTB65ExsHbEMT6VOeihzKFcViRaKInAheOgnMSIUZIdgVStKnzE6Jmnf3QA6e5+F/NnYjz7reOpI2bFNjpF0VUVNHwfFEJiQeNtDJSObcvy4IbupoG5RG5ZODolRO+/OdZCX/qnKETE348Dkiu1J9t1sOvkgW3NEzTaNZYwSRYiXCWGBBDBka2pMhzGYdfQXXZQaUPiG+PRlCkVlrBI8/UyAya10Z8ZqfOy+xZVhn3Du9aXQPkMJytkCeVBFLRypiilQ7r0RHaizPAb5KNO0itYrv5aWichI4QLyE3Wy8daTCmFEfQcjUcNHiViTDJJMQ5KHx8pypqcyugsopqYgpgr2BTFF4yJm6irhNPI0is8OgybksaGL3Bd/Np/MOcgXiFnGB05a4zfhQGiKm38HJg1b+O6bzTkVhy2oEcb7RUVUabxrbmUcsTSxMfBTaRuVplpPB03kHadb9xkuEZ8xtEDYVVA6iUjyHIRTSlRJFfh5g5Iu+on85H6Vqec42RCcmUL1zbuuBYezqzcDSVRF08rkpGTbRkjDQGPPHlG1oOGd+E86c14CWOBlzex5Z+/BjBGiMW0ZpABM2dVxwfDM0VcEM5pdXnmkKmxqSIUNo+XDfufLsK+ljEXF5KFvE3gG6niSFUH0pbE2ERnAQ/+ykDlz73tklUgJBVOQ0iUyZXz7sE0HTPkGfaHZJDXw43I7zFjTBYdlnUye/v6LriUzRXtaVyJuKEmGqHIQsUmh3XNp4NDDC9ht7B1F0XPRn/LJkkmnpeR6wszeD/+/1vfjPV3aj4LiImDqOa6pOV+FjqeiQBYqwB1J8BXouObA7EPTv6cuIILI/UxA2T2ZAooMH/XxDITNNEgJ8kgibGkyDfNroBvJKNJrKswl9maIIuPx2/jhmMtHBLfuG8MqufmzuHoKuKVjSnkBT3Ma5C5rYTUhp54JDisKbugdhBDg72/aPDJpI8ZcIg2FTL+kSqdStxgO+mD128OOX53x37FqCLQ6ePi+OkWmqFAgA3PHcPwf+u/BjcFzy+bMNDQtayT28yHgAhqaKibM9GULRdUt2xACqyg3430cZgYLjYtv+Idz8+AZsPzCMIdb5Qt5vcaFjA/hGphGrhkyT7fvtuUxFO8SyMOUg/zm1Yqblpe09MDXKBrWUcUGE55mm4IKFzUyw0RDq5sHFKRk2RBqfOgLp+nEiNZfi4CRyvgPmZQmeaQobGlzPw1CuiEzeweZ9QxTs2rrQgOLEbD9zSf9trwvBNlSkCyMFJHlwprMMUDkslm3iVjrJEJVTd/WmyReQva5agwTP8A1li8ixrj++kGQLrlgkODdoV29avNdgWQXX87C7PwPX80q0v3JFkpQARpKcqwUI/LtbEiE0x22xeQrCdT08u5na4Re0xIXhd/D6mHqpcTcALOtM4uz5jdBVVWiF9WcKwo/R8/xNRXmGa05jFH/1vjk4Z34TAJqDfCsnT2R8DFWl8pxLGYtKme+WuA1dU6nTkglQ1jGhxvFAZxsAf4Ev5TWVd88BviTIENtIJsMG+iySHWh2uNG9h05Q0BRpmQuNZW5o86AiahsoOi56h/MkmcAEYBMhA8kwCbZSFYG6JnnWvpmd9/YDw9g3mBM+oLy0dsacBsxpjMDUybJry74hFF0PSzoSmNU4chxw8PHGz5fPmUGPSK7cH8w0FV1PzMN96YKgQ8QsXVi48LWDrrGUHJAIoJG1sEYtnQitOYdpXHhiYeBdEEHs6k0zDonOJAdsxGxDtOi/trsfz7xJbtmL2xJIhk28b34jFrTEMcxMGMOWToaxioL+TAG/eHW3IPru7s+MEBTLiUwTlec8EA+rGm+DZ5rKs2SVwPU4+I3O69u1wqyxPCdUniuUKUKBwJRLGvCyQMFxxQI0sz6C+oiJeMgQ1hd84oxYuuDtBLkOfFEolxvgaIpZCLMFaLhA2Sa+yBiainlNUXTUhRG1dL98y9IZtQRNvEPKYkEXL21UzDRZOgyW9QNKg6YdB9OIWjrakiHsHyrt6uIO7Lqmoj5m4arTZ+DMufXi+4MBRDJkimB6IFsQ1y/BMnykjO8yL0bfv4pnNzmZNWLpcF3qAH31nX7Rks4tfAC/240vyAmhmWQibhtUnisLoqtlJDl492XRceG69PupioLugZzImPEMciXwe4a3vauBtnRqKed8G+IEdQ/kxDHxBgDX9bBvIAePnWMoEDTxILRc5HW08hxAbeQfP7WrYrC3YXc/eobzCJmasNSoNRusKIog9DsuBbncTaDouv6mosL9QdIJ/qZGGPiybGkiTJmmTJ6scwytMpesNUEiisO5oij3VLsfa0GweYSjyOZIoDRgFuW5AEk8EyF5myZ3HxTPRVIZQhQUHA/Z7Uy7yWX3gYIEyzT1ZQp4py/DSrmxkvt/Zn2EcU5V4Y8XtXSkItTl9uJ2Ei5ORUwh0npcSxQXLm7Bso4E3r+kFecsaMKJM+pwQmcSi9oSVc+fB+DZAm3yOUm+yLwx+TVyWCMN4G8C+phZt+N6QpYkZvsejXzt4PfuUS9uKXH4MKshgq5UGLMao7B1TdS8i4GW60odZ7t6M4jbuljI5zLdmZn1EegqCSo6roc5TVFB0ssXOeGWFHZNjSapha0xhE0d+wZyePLVvUL7I1gSoPfThGBqtCM0dRXZgjuq3ABQY6aJZQO4PoepqVUn+ErgyryFMYngvuTAiGMInAdPNbcmLZGd4UGKpip4/5JWHN8aZ7+NgnQFflfwRs/mXVha9UxTQ4ykE1QFWNAUwweWtGLlomY0Ri00RC3MbIzAMlQ0RC2hAMwrkZEqQWs5YrYhdvo+p2lkwMWtVMrlBgazBfSmC4jaZCrbGyAou66HfJEZ86oK0jkHSSa+BzCDXT1Q/gkbYqEeyBZHEJdVRRE7bNsIZlGoBEf6ZEDUNuC4HrbuH8Zb+6kB4sQZdSVjh+/yT5/TgJNm1gmNpoaIhRamOD8/oHDOv4cfdyWQw7wC11NEg0WCaTbtZyKK3HusEvh15wtG2NQCJseuCA6TYRMxWy8xdNaZNliRaRh5Ho0B/v7hnN9d1RC1SjKo1c6HlyyDxPzy6/HCWwcBAKfOSjFTX6AjVZlEXe07yFOPFta9rPzsN5hoVflFQa0jk6nYc6JwKmJCD5STLV0b0R0LgHFkFAwxTS/A74abCHiWNlie492d5QEzP3bihdLrtWQ7HKgwUMQMcwBzDQpo+tQUihoFu7xMbOikR1d0yFlh/2AOmqri9LmNYjOga2Q3ZemayDTxDk++PmxlFYS6sN/Zmcm7TDZAx9ymKE7oTOJ9xzXinAVNVed2wA8KXcbF5HIM2WKxJGjqZl20YVPDojYq9+3uz4iAO9gJaImgqSjez6/DdIAMmqYBQibt2jnPiKwyiKw4UCVT43ke3unLQFEUvH9JCxa2xrG4nQajqauYwUps8ZCBlcc3C1NJzknKF13omk/6i9kGzpxbj2TYEOnZgWxBmEVy8PdqKvkOWToJUVYjuw6IoKkGThP7DKpfO4zAWPsQ5SrME5UcAErJ7L6hrp8R6U3nRfmP7xh5QJsruOI5btI6mPPT9nmH3MIr7aQBvzVbUxUs7kjiYyd1oi0ZQsTSiQvEuoRSEZMMk1nZlo67toxczNJhs8kUAOMYVeI0aSVEcD6R8SC6PUl6W57na1BlA8Eo2ZjQuecC2SqFibBGLOoyDC7UnBPGFzFLp3uBzt/PNOWLrmifj1iUuSgyBfGi66ElbmN2g++LB/hZnea4jffOaxQBczxE2mTzW2IjxrBv1lt5bPPPiFm60J1pYd1jXKl6tAUnqN7Nj9ESO3c/02QbKjrqwiXX31Bpw8Pfq7D38/PkGRyTkYCDm65qmTOecSy6XkVNnD9s70U6T3ZCSzuS6EyF8Vfvm4PTAnY9Y4F3oakqZZf4fMJ9LGO2Puo148FvwXHxqTNmCYX5ZMgsuZ+jrOu2HPURE7apw3E9IRg6WnPJWAiL8pwfNGXy/u8WPAZeogbgj/VYGAc0KjvONXsw16TSZ7fWAgU0z6fz5KdYF2JZOkba9kDyH+2sKQQAoqaOurABi3FOSceKjoHr23EEDbe58C5QfbxXgq761JBc0RXZ+eGsg9mNUTTFLEQsA3vYOtKWDImxvKc/K9Y1PmfHWSkf8PUJw4HNUjXZoCMJGTRNA/BdfNTSUR+zhMp20fGqds4dGMoz92kFp85qwEWLW0p21qfNrsf8lhg+tKxNiEQCNDiHRetxaRt2Q8zGZSd3ojVB7tVv7BnE1v0jpQvyTEeoJWbB1EYPmsZDBOdkWl1VkGUu6ePJNBm8o22MTNNoZZegHxxPp8dtXoIjDstru8lmR5STQrqYONIFyu5xO5z+TIEpV7usG0VBXaRy1m1JO/HRlnYk8aFlrTD1Ul5G2NQQZQryS9oT6EyFRbav2kJYDrLb0YQBKi+zliNs6iKAB/wAcyezh+lMEe8F8DWoMoKTRAtWmi0M5df7oyd24FNnzBLEVoD4ScFMk66SWviyziRa4hbbOdP7PQ8imI+HDGbp4QeBQS0v/r3Vro+iKCI47ikTkBRq4FUkMnhpYmFrHO+bT4FYE1u8FAVMZ2zsXTpH2PTtbHJFn9Nk6ZrgZnFek84sPETGgrV1l3va8X8HuzWr3VM6I8wDKBEc5f/mXnBnzmsQ450bNdeKmG2wbKpPFM4VXcFdq6Y8zRHUOqJ3+8cRnGOqzTeqqqA96WdwgNE9KsdCOWkZCPCZKmxGyjvoGqIm9mlcq2kvWhziM+3TmlmnH5WdSSLGFqbYfNNzfCttlLl9U3PCFoKQcVvH8W1xzGIE+ua4Je5ZgDwQuQVUENXGeyXQGPcD/RjrkvUAzG4g6Q9LV8X92pa0mZ0T6YHxmbrI5BLIaodx/dg1Ku9AnmrIoGkawGQu2SFTQ3PMEn5TBdf1NZrKylvvBCL3ctIlQHXj9y9pFfVjHphxTyqAJtRghiJq0b8vXdGBWQ0RuJ6HN/YOlujDcOKmoaloittIMGG1Sin6XNERE3+0RkI31yQhTsjoXS3lEN1zNRLBK5UpfNVfnxzaHCeuSmvCRsjU8eL2HhSZLxu9xzdgzeQdYShq6ipxElxX8JmigUmhHImwiZNmprCoLSEEWoOcrrCpM3NlypicMaeBeDA1lub458VDBppiFjpT5PFVqZ04apV2z/Fru5NlOjrqwmIC7maZJs7rEHo0bJz5HDL6DDVArOabgcFsUWTuIhYv2ynsMyn40DXfv4uTSpNhKjd6oEBiVkMEqlrKhasW0HPwMix3aucQ46TKGOS/Y561uAMQ/lv8eo323eUZvhIid8ERmTvLUNHJdud7+3N4s3sQGebFxq8t19UpV4bnQUZwc1StPAcgwDErJTY/u/kACo6H9mQIcxqjld5KxwEVc5NzMTc5F2qF5SVm6+I3JD01T2iTkdzA6GX8MBtb6ZxTcp8bmlJS1huNQ9meDJcYSrcmDyFoKiNCAwGNpgr3ebnAZUPMwn6tGQDQ6OxFM5cb0FuhKIow51YUoClO56cqgMMU5FtYdvo9s1NIRUycPsfnDyoKmWHrTJ/QNjTMb/F/O57xDgbv5GU5PlK8P2bdkk0IF1g2NEV0zpH8hCKcE3gQVHBIjiVklm6OAL9BKPj6qUTtLFuJSUNwgm1J2FBVuqlKM02lPxXfcfJU51gQxOTAYh+x9JIJlAdQhqZixYw6PPPmfhwYzGFPXxYzWbljMOeXC+siJuqjFo5vi2NBy8i21EHREq7VnDHiTuiD2SJbgMaRKtaCk3F1+Dv4kZM6X8SDHUctiRCWd9WhMWbCcem8Xt8zIHaLEYvKItxIl25wRQReFEi5JaaxleB7CwazS/7vHmG6UQAFryJoGwdZPmYbsHQNC1rjZHRa5b1hS4POrFQAytb0ZwoYyBRE0wFfeLoZwZOXdPgun2fiqomJBl+bLTiC2E3idobQogH838oyVBRzjjCUrguZKLoezpzbgFkNETz84k66VoHzGkuOoTURwmu7B/DW/mGcPsfXEaumBs7BA/pMwUHU8cX8UhGzok5POajjNLA4mLrIlmYDGw6LZYTjISqdP/mnPehL5/Ha7gH0pvNoYHpdpqYiUvZ9vJzFx1a5dVA5YraOvf2lmaat+4fwxt5BKArwvvmNo2aWDM3A51d8vurzxEFilk6gjlRVDTRJjHJ/AP4mYihXRIHxM8mvr9SaKB6q/jktCeokyzNLqGD2ZbyoVJ7jAZRdMdNUKnDZHLexlWWamp29SHmUzduvtTDRVdJhUhWyVdq6fxipCP3eyYDLwsmz6jG/NS7kUYJNE3zTGzI0HNccw3NbDkLXfBuTkKGVaJ6Nt5OQB4fBDrq9/VkxLxSYlIihKWhiWb32ZAhv7Rvy+buOJ4yX9bKgzTJUcd/TudQuQzMZkEHTNMBM5sm2tCMpOuE4kXOwghq453mC28DT9mPB0P3SlVjszdKgKShpMK85hnjIwP5B2tnyoIlnmhJhQ+i4DJbtSjkGx8Fn4ggZGmbWh9EUsxi/ofZMk1ljpinIsSnHorY4TE3FzAY/GG1N2LhwcQtaEzZ292WwdtN+/H5bj+CvhE1dTJ7DuaLYqfEs33C+yIT71BGWJUE0xy2cdVxjiaVD0B4lElDKHcoVRSZnPB2G/P38tw5XWdS5TlPR9eCy0gkvzbUkqFzGJ0DyjnLEpBmzDDieJ3gbo3HIeEdfruBiH5tkK5nr8t2sbWgYzvl+eKmoiX0DOcRDRklpNVgaCY3B95rXHMXTm/bhwGAO+waz4ryqiaCWH1Ou4IhAPV90kYqYgnM1WnlOZeVRUdY0NcE/yRVckWni3Jj3L2nBa+8MYN9gDulckXVWeeI1qqrANjk5nR7nASNfIEfLMgGlQQldAwf/7w1SqD6xq+6QAgwAzKAcgEfzmONS2TpbcFEXNsa0buHjNp0vjsiC1geCpmoaU4BPBs+DNhzVOn9rQdgs3SAAKNHNKgfPFHOuY33UwkGDgqYZ2gEkikS079ZaEGcyGjkmsdCWsLH9QBqNMQuzGiLYdmC45PcMViP4vDmQ9TcevDv5Yyd1QFP8bG/IDMhFjKM0x1Gun8Z1wfg9Osjmgea4LaoifN3qzxSgIJhpUsU94B+TJu776aDVJMtz0wBxpn46tymKhqglatbv9GUYQVJBNDDxHxz2+Uy1TmLB0pWfodBEuhso3ZFHLR3zmIXByzv6xOP8Zk/YRompYyVfoPHwmThspgpOZQJlnJmmcRLBKywghqbi+LZ4SYZHURSc0JlEc9zGkvYEopaOwWwRb+2jLpRgmTMTCB744ssFA+vCZlUSOP+eFTPqSvRxwmUZE76oDeb8brNKRO5qKP8tqmVhgsTrAmv759lNXioKmb4i8v7BnDjvaFmmKT9KtyLgT/aFQHt0ebclXwSCi4SuKmJxzDGlev6a4OQ/VvnSNjTMbqRNwcY9g+LxsSQHgp1uDpOAyDsuYraOGMsMBxekSgj+diHDL0eXZ5oAyoidf3wzPn5qFz515iws60ygIWZhZkNEjKty/hbPuDUzM+XGKh5rHDG7dCP03JYDGMwWkQgZOG1O7YTv6p9PZVeDWQYVXQ+e54pNRbm9UDmCViRcdoPPbamISVknlAZQ5QjadIwWXNUCv/vMJykLYcsKQVO5lUrE1IRWU112F+I5crfYp7fCcclz0GW+iImwKcZHkOhfCSYryQVFI3nA0poICSuk8uMcT+ONeM+ITFPpGONZrPagL2HUEvSFTIE69wxVQcjUR5yTFZiLpoP/nAyaphk0VRFGhrx9mls+cPAsUzU+UyUEdYOCmaZgdqlc64crEr/ZTSqyvJMD8EUe+aTfny4ljgIIKJnXPjGV7/rGx2mqjQjut5KPf4epaypOmlkHAP5uPpBpSrNSHED6W1zxfWZ9BBFLHzVoqoSYbQhj2Jht+KrCgW6zWjSaOMqzUtW67nh7N5XoPJiaEshu+kGdz2vKisWC21eITJNTuviPPMeyYwosahw8YxP8jFTU7/7JF10xaVuBxofRzjGIhYxQu2nvgCCV15xpYtY2/nsULG5LQlWUMcvnwQUrWI4myYGR/mUcpD5uIBk20BK3ReDA7VQ4guW5T793Nj64tG3U4+FcoMFsAbt603hlZz8A4PyFzVU9I4PIOTl86Zkv4UvPfAk5JzfieU4257IXRZd8/1zXg21oY2eaRCbMKSnPAXR/LGiJY35LbNQyOOB3zFVryqgVfL4KijWO9ruVE8EVRUE2ShYtieIBaF4RjqKjR02h6Lo4MJSD5/nmznzM8aCp2j3Fgx9OGB8twxjMhk4k0xTUagJGmpHzY20LBE1EyA8xiRmXZZrIy6/8nILSM5W6Oo80ZNA0DcFLONyOobxzju/4g5H7WCjpngsQwSNl5Z8gTuhMwtLJ1uWNvQPIO35HDyds8v/2ZSoFTePPNJXvzsbVPccVwd3qNxbXhAGq79LGwmKWbeIIW1qACF4MWCjowqyUdwqNNZmXI2RomNccw9zmKKK2HlCMdsQOrhbfOY5ypeTRslRCq8mhLM5gtghNVUqIs1wIlQQd2dhgfBJ+HUQXWrVMU2B8KwqVDIOBNjcqBUonf9If8sc1D3JsXUUpV2/sMTSzPoKwSSWAt1kZcqzgOqgfw8ccXzBPnlmH68+dO2YmOBjQhU2/HJ1j4qbVvp9nVbnHF9886eVBU+D+5u7xo4FnmvozBfzP69TJtagtjq762riTADBcGMZwYaSbQPA7ePa16Hiiy5Jzs0YDH+vZAFGejwHqDCUJibHuieOaYwiZmtDrmijMgOAmVxjn90Gl0mww6OPQYi3Iwc/ODIfa4Ckaio6Hg0NkbxUxdRi6KuZHPp9Ub1IofXy0MnFppmn8G8lyVfB4QKAyX3SRyRehKBB0Bg5BBi9Q9ySfm0Z08wWcBGSmSaIiUmHGhcmN9Jwr4TNVsDmoBtE957glGQo+afPFKoiwpQtvrt9v6ylx8+ZlmQRbIPsqZJoGxiFsyRG8gTV1fJ0ceg2ZpoLjiRr/RHZVAF1Lnm0CuCihn13JBBR/g4GtoSk1KaMHwRWS6yMUIFiB8gtv9a/Fdy6I4O8xWhYmzMpvHiOkAsTvCmYcKmaawr5gXbbgjLnbDV4T3s0XDLTtKuWDBpbiD34XvUYrOcZaro+mKkLccuOeAfGZQC3lOT/TxN8TqaDgXwkl5blA91y26AYW30plZEUct+v519bQFFRq7qgVPJM5nHPQmy4gYmk467jGcX3GWCCtJgqEswVHZGxbE2NTDWzDLzPxOYf/1sFAeyye0rzmKJZ1JDGv+dCCJvouVo5mht2VfOc4IoFMEy/nJSMm9utN4jXDYco8FYouetN5uB79LqY2UrduNOHVkmMcLWgKHOdYnLfK31XKaVIUX4tuMFuApqqoj1ojAjfOa+LzQ5yZcpcfA7eEASA5TRKVwYl0XO05uBMP8plaxkHKFKUrpvsB0GKSipgwdRWNTB+qHCd0JgEAr74zgFxAo4kfE7eAKddzAiZIBA9wQLh5aa2oRXKAp9An0lobxOL2BJrjNjrqQkxVm5XnCk4Jp6E9QNRPhsfvcRVcsGl37rfT84V6POU5oPT3GC0LE7V0zKwP46LFLehL029ZXm7iHJn+TEGIBcZDvkAd74gDqgepwSCOn0u0JGgKjgn/eBuDQVNZpikYcI9FBOfgmjdv7Rti4pKjl+eEOS4zmObGysHzGAuhMk4T/65M3g8mKmaamCRFezKE49viotxkqKWLzniaBACUmBoDwLljKEJPBDGm4t0Ys7CsIwGFySWkahCZVBRFjFk+3vhmydRVNMWtEq5dNZzQWYfLTu4U89uhoLyDbjQiOOfXOQEB0fqIr9UEAMMRCpqGckUcYJmmmK2XlOc4qpbnJphpmkj2vTzTBPglusFcEXpAGyuIppgteLknzawTcgTl84SpqyMCs6mEDJqmIeoiZD3heDwC9ycAnmVqTdTOZwL8gMINdDVFTFLf/eQZM/GxFZ0V33fKrBTz08piZ09aiCLGWBfIgpY4VEXBnv6syHwAZKkxNIGgKXhzj3eyNthCMpphL28jN8cZkI34Lk3F5ad04mMnddJEbvnluaBZJ58YgJG1/lpg6WqJDQkwciEcT3kOKA1IwqNkYShLQZ1NggRepsdFPBQaCweZHUgwiOwd9omo1TIvwfHNz8UIlBGtkjERyDTFzJKOSVFOY6+vZ/YhtXqLNcYsNERJwmDLvqHA540eNHFxRsf14MG3jqgF/HW+oXHp+6plW/ljYVPHiV11MJiGlar6mSYSLx3fFB8Myuc2RYX1xuEE12pymKp1tkYSOAc/Pk4JCC6yl53UiU+eMXPMxV9TlXFxQkdDkAwOBHSaKsxfXIsICGg1Ra2SoGnIboeqEA0jV3AQMokLaegjxVKrnSfX7eIYbRyUZHIPIWjqzxTEhpVv/IdYSb+tApVEUxW0Mp0pXfVLj+XHTh22IwOzqYIMmqYhiOSpCUJqMOjw9Zlq5zMBI3f5iuLf7OEKHQscrQkbjTELjuthLTP/NTW/xhyxyKsIAP7ESKMAtdnzzr/xLOqhKgtkLeCyCvlRynP5UeQGxotg0OW3HvvluZBJGQ8uQDeWcF8l6JqKcxc04ez5jWJyCgY9E1kYg+Ww0X4bXtba2ZtGepTsZjlvxzJU8bk8GzBaKTQ4voMZGp6BssomUMDvWDQDO1BRzmKPXXpiB64+Y1bNLeWKoghC+Ot7BkZ0r5WDBzzcFLXg0Hi3DBW1kKaDn8HHPQ9+/POtHNxzZWjAz3BwGyF+TcLm+NS6OVbMqMPMhjDOXdA09osngLhtQFdJJ6lnuOBrmNUY3PIxwsdW8Frr4/SrPBzg4yvD3ACELU6VTV+5rENjzML+QNDUZ7dDURTsG8yh4HqY2RAWGRi7bN4aLcixSoKm0TZHhxY0kf0XGb4/sX63kN1wXJK30asETUDpOhbMCAePQ2aaJMaErpJyNE/P81KY53l4ZwJ8JoCi9+COtZoSdDkURREGixveoaAoYpVOxtztfFO3rx7O+UxRuzZuB0fprmd8k59eQ6bpUEng1cAnSM8DetOlnS3vmZ3CrIYIFrdXdwsfDUs6Elje5XOoYlZpeW28CyPXigkGzpUQFoEPnU9rIiQIyEE0x0vLKiHDl7LoTY/eGk3f4yv+BuUBeDAVHBO87MIn4WBXaHmmKWiFUyvmt8SgKMA7vZkxuVg8MOQZYa4MPp5NQlPchqmrJYtHMLM12mLHfwtebvc76Og94y3bcizrTOLDyzsm/P6xEGdWQLkieTVSpkmruUnCb9svDRanCqWds3RMilJ93Iy0UrGwj6mCA8BBsxWDmQJyRReWTmrwqkIeb8ENwGjfAdQeNJVymsYfcEYsHauXtwstt8f+uAsRUxdWN4mQUbWDOkhfCFXJeFmSCC4xFgyN2r0dl7g3fJFM5x2kuaT+GHorlT93YgTREzoTUFVFcJTKJ9OOuhDqoybyRRdvMJ2bwSpGw2PBPoRMUy3iluWWHocL3McNGOk91VEXxurl7eOSXhgN0SqZmVrB1eXHCpzLA47OKoF6U5l3l21oInDo4ZmmUa63ovjE7+D58MxcMAjpqAvhspM7ccHxtMgETZpHI07XiphtoKvsPKtlybj2Dc8IE7FXqbk0B1DW5TNnzRbnA9ReLhFdWwWn5N9WIAt8pKFCRVe8C13xroo2KoDvP1dwXFHKilp6zXZA5UGpcRhKbIeCSp2zll793iq3UolYOvpsXwpiW6GBbTo9NMUsRJmfW7mX4VgUg2AANGp5Tj+0TBNAc9ylJ3bANjTs6c/iVxv3EvfV1kftvGyJ22LDFK4SvEnJAYkxoWtkZEp+Qz5BmxuKJkJGzen/IMbbUcQxoz5awgspX0wVhQxkAeBPu/rgMcd5YHydcwAzHhVChuPMNAW656q5YY9F7j0UlF/TsTzPJorS7rfxf0dzzMayzkSJZUgllPOdyvlMHE1xC3zuNlhXFA8Y+2soz9FnUOBVH/XH2QmdSZwyK4VlnX6GTlEo1S/Uvytlmg6xPMNLdMDoXCxDV8kHjI01HquPN7vFCf4cdsliN0qmqbw8x67FjFQY8ZAhxGmPJAzNwBdP/iK+ePIXYWiV733bUEU2kGv4NMasmjOm5cHgVGea+G9UUpofJUgpF7gMmxp6QzNxQG3EcP0SvN6nwfE80nVjVkw8IC4NcEYf57VmLNXAhu9QMvAtCRsfXdGBiKVh/2AeUYsMg9tH0SrTNVVIEZQHhPy/amBNkJkmiYrQmWP5mXMbcOmJHeJxHjRNhFAMlN4Q4yohxKwSjY1YhUVhYWschqbgwFAeu/uzE840AX6wMV512mBQWE12QPigTVBuYDSUB0mHu+uII7goj3eBBmiSPHdB85jlwnDZJFbNDd7StRHmn3x88d9hrN/y/IXN+ItTu0okGmK2gTPmNowaeJdKDhx6pgkA5jRGxeeOFlybGmWaPI8aLFyPvn88XoCVYJV0C1b/fr88Vxo0NcVtXHPmrJLgbzpBUXzfMx40lZd4R8OIoGkS7uXxIOgGIHzexuhKBfxMU8jQoJohfL7pfjyw4PsYyhbguh4StiGaW/h4tGscG0DpHDfWXJSKGFAUX2NtomiMWfjYis4AT1ERWnXVsLyrDg0xC3OaIuIxq+z+k5IDEqOCTwJaWRfBIQdNJZmm2id2VVWwsCUmdraxCu28NjODBIA/7eybcKYJCARN48wYBDlb1QQuJ4vTBJSWPIO2BYcbpZIBk1eC0QMtzu3J0KilPL7o8deXZ6nGClKpXdwevySDEDT1fJ2mQ8w0mboqmhtGL4/5v7HLuueAsW1bxoJVY6aJj/dMvrQ8dzSAl175PFGNKFwJ5RndqT5vvzznIJOvLmzJwedELk6rMgmXgmKie4g0v2K2DlPXxDzNx7lVIRtTDSWZpjFee/GyNnz81C6hsXYoqIuY+LOTO9EYs9CasNEQGT0gntsUxRXvmVFS5g9mmgA/WCy63pg2WZONKQ2annnmGVx88cVoa2uDoih4/PHHS57v7u7G1Vdfjba2NoTDYVx00UXYvHnzmJ/b19eHNWvWoLW1FZZl4bjjjsMvf/nLSTqLww8+CXAiKgcPmsZrxSE+Vy8lgo8Hnakw2pkmUbUyzTKmebJ535AwLB2P3AAHn1C5HUetCKaxucVCOQ5XCacSyn3EJgtWQIV4vMKW4wU3DK72m3Pw8lqoLNPEMRlBavnnHk6+2tKOBNMSqr5L1lRFNB84nifu10MNZGvNJvDNVaZQmmmaSuSdPG597lbc+tytyDv5qq/j5X7XI3f7cl7caBjBaZri8w4FiOCjyQ1w8BJ0z3DBdwpg1yPLOvBSEROJkCGCcn6O1cjSlRCc48bqIA2b+rh+g7EQtw38xalduOzkznE1AnHwY+fnaDIFeWDqO+imdLQNDw9j2bJluOeee0Y853keVq9eja1bt+KJJ57Ayy+/jBkzZuD888/H8HB1if58Po8LLrgA27dvx09/+lNs2rQJ9913H9rb2yfzVA4rhB1IWUTNg6Yg72MinwuMnyTaXhdCayKEZZ3JqkFbc9xGc9yG43oTErbkeO+8Rly8rBWzG8bPyRCmvVOSaZq4xtR4ENTSmWyyLwknmiKLWA0LW+KY2xTFiTOoy29EpmmSgiYKXEon5cNx7VsTIXzqzFk4f+Hobfc8wHFcD0UhNnr4Mk2j2VpUK89NJTx46Mn2oCfbIzSrKiEVmMNMXR2XB1zY1IR2GTD15x20NuHlxtE2TTFLh2WocD0PB4dpc8nn1FzRFcrwwWvC7x9DU0QgNSanqYJUx5GEoigT1sIrzzQpihIo0U0tr+nIt1cEsGrVKqxataric5s3b8a6deuwYcMGLFq0CABw7733oqWlBQ899BCuvfbaiu974IEH0NPTg+effx6GQYNu5syZk3L8k4VKdiDZgiNq4BPONJV0z43vJuJdDkXXEy3NlbC0I4Ffve6LXEYnEDSR9tPERPUMTUUGTtUU7uHUaSpHMMMwlrv9oWLFjBS27B8ct17XRL5nxYzUmK8LmRouXuZ3AJVb8kzmpG3qKoqBEtXhKovWwhcz2Xm5Lo58pknl5TmaF/SjqDwXbCyxDG1cXBquCs7nw6kuzxnM7y9fdNHLNrajZXYURUFD1MI7vRkcGMyjKUZaePURE4mwgX2DWZi6ipZ4SMjO8LmbOuhUDOecMXmC/J6bTKrAZIFz3oIdx7ahMs/Bd3GmaTTkchSB27afMlRVFZZl4dlnn636vp///Oc47bTTsGbNGjQ3N2Px4sW488474TjVo9NcLoeBgYGSv6mE0BsKZEu4HUXU0ie8k54oERygXS3nHYymIj2/JSZuZruCY/VkQ5Q2qxDBJ0tyABhpiTGZWNKRwIeXd0zJDrIWBPlQwORcbw5jHITXww0rYBLN79eJkPODqFUVX2RV2VifjOaGyUI8UHpKho1xb2KCGdbpcN78fj84nC/5dzU0MsuYA0O0zoVNMubWVBUABVXBikIlzaUxy3OBefhow9ymKD50QhvOmOt3+E6XTNPUj7YqWLBgAbq6unDTTTeht7cX+Xwed999N3bt2oU9e/ZUfd/WrVvx05/+FI7j4Je//CVuueUWfPOb38TXv/71qu+56667kEgkxF9nZ2VLkSMFo0KmSfCZJkgCByZOBOc4f2EzLji+GTPrI1VfY2iq6NqZSGnuUMEDzmqZptwRKs9NxC38WEOwTDVZ5bnyz57M4KwS+MKULbhQFQWqMn6F9hGfWeP5lGeWprpMNR7EmVYT4AcQ40FwbFUSXD3S4Pd+VnCaRj+mhrKgiW+4Bll5rysVLpk/SzYGem1BE8/SjOXDNx2hqQrmNEYrbrze1Zym0WAYBh577DG8+eabSKVSCIfDePrpp7Fq1SqoavXDdl0XTU1N+P73v48VK1bgsssuw1e+8hV873vfq/qem266Cf39/eJv586dk3FKNcPfQbpCb0jwmQ4haBKKwcznarxIhA0sbk+MmepdMaMObUkbyzqSEznMQ0KlgDOI/CRKDhwpIvjRgpJuwklc2EqCpiOdaeKie0WHLIOsiVmXBFFrpskomwePpvJc1NbFfNQ8AaHeYKZ8qstzwMhy3FjZnQZmdO5nmpi6PCvxdqXCJaWp4DnGK5SuKqE5bmH18nasXNQ86uuOFlQyBp4KTCmnaSysWLEC69evR39/P/L5PBobG3HqqafipJNOqvqe1tZWGIYBLcC7WbhwIfbu3Yt8Pg/THBl0WJYFyxr/jTtZ4Dswz6ObSNeUQ5YbAIImn5O7sMRtA5ed3DWp31ENhjZ6pmkyy3MlnCYZNJVl3iYxaNKmLtMUnMgtXT0sEhAlu+tRrlt5kDQdylS1QlMVzGuOYldvBvMnoCcVzJRPhwxb+f0+1v1fHyFB2OGcg3S+KF5fdMk6pbEskAxuDN47rwFzGiOY0zh6o4yiKJjVUL0qcLRBZprGgUQigcbGRmzevBkvvfQSLrnkkqqvPeOMM7Blyxa4AT7Qm2++idbW1ooB03REcBLg5NLDETTxG2+8fKajCWMGTc7oJqyH9t2+5EGtJrHHMoJB05HKNB1p/obwxCq4UFim6XB9JlCqAF2O8gzLdAgeFChoibSgJdICBaNngBa0xDGnMTqhZobgdZ4O510eLI91/5u6KspmBwbz4l4puh7qIiZCplaicVfe+TyvOTahVv6jGb4q+NQGTVO6eg4NDWHLli3i39u2bcP69euRSqXQ1dWFRx99FI2Njejq6sKrr76KG264AatXr8bKlSvFe6688kq0t7fjrrvuAgB89rOfxXe/+13ccMMNuP7667F582bceeed+NznPnfEz2+i0FTqAHKYkJeuKqKV9VCCpq5UGK0Je8LGsUcD9CoaVwAJEE6m5AB19ejozxRkpgllZN3J5DRNh0xT0UFKMQ/LhiRkaFjUFoeuKaNeN30aludMzcTN77m5ptdeuKgFvek8WhMTCZroOvO5cqoxojxXw6asIWqhL13A/qEcZjB/tqLjoS5hwtK1MiPdqQ8MpxqyPAfgpZdewjnnnCP+feONNwIArrrqKjz44IPYs2cPbrzxRnR3d6O1tRVXXnklbrnllpLP2LFjRwnHqbOzE//93/+NL3zhC1i6dCna29txww034Etf+tKROanDBF1ThPZLb6EAz6NI+1BKazHbwJ+fMjVlsyMFYdpbYTeSD2SfJmsRP3V2Cjt70uNSOD5WUZJpmszuuWmQafI8QFVG7yytFYqiYOWiljFfdzSX5wAKNELmxO4T3qE4HbJMwMhSdC1ZoIaohS37hnBgKIcl7QnYhgZdI/Nq21CrEsHfrZgu5bkpDZrOPvvsqsaqAPC5z31uzAzR2rVrRzx22mmnYd26dYd6eFMKQ1WRg4uC66J3mLJM9cy8UaI6hMZVhUwTv9kOp5ZPORa1JbCo7djN5I0HPOuiKJNcnpvCTFMwG6CqyhEtfZcvpO+mhbUxamF+SwxNEyCRTwaCmeVas8yct3RgKAdTV/GJ93Sh6Lgouh4sXUPU1KEqClzPm3JT4umA6SI5cOySW45y6AG9oUO1T3k3wRgl08QtVCYz6yHhg5dQLP3QO8pGw1RymoIinuph4jTVinIl9OlQnss7eXzjxW8AAL548hdhapMzZ6mqgvcvaZ2Uz54IJtI5y6UWDg7l4bgeopYOvtezWbaqPmriwFBuQsbnxxp4VneqxS3lLzFNEZQdOFT7lHcTfN++CuW5SZQbkBiJhqiJJe2JSR+30ybTpEyugXI5pmOmyYOHvcN7xf+/WxCagIVSPKT7SuLpPGK2LhTA+Wd8eHk7MgVnQsbnxxpkpkliVHCLhILjoSctM021gi8c+Qo6TT4JXJK0jwQURcH5x0++RsxU6jSFDH8KVZUjW5472jlNxxJCNWprBUF2KiZ292VFiQ4o9VOMWPqk+0seLUiEDJx1XOMRzeZWgrzLpimCmaY+IWw5Per30xnCgqaC5IAvNyCH/bGEkvLcEf5tgxO4qiqHhQheK6Zj99y7Fbqmipb48ciNCGXwwXyJmrjkro5EyNSwYkYdFrSMX9frcEKuHtMUvMx0cCiPouvBYF0VEqPD1HmGrgKnqTB5cgMSU4egXtGRzzSVZhiOZIkseN6KMpLjJHFkwcfCeORGgnYqfH46Gr3i3k2Qq8c0BZ98uweyAIBk2HzXiZlNBL73XIXynCODpmMRU5lpMnVNdGIe6TJK0HPN0GR2YqrByeDj8R5sCHTQ8UYVmQmf3pC/zjQF3zXuGyRvokPxnHs3we86HIUILielYwqcfG0Z6hE3bzU0RSxydUfYGDWYWZoO/mvvdsxpjCJkamgfh0Ybn9cHs0X0pUlaRmaapjdkvWeagmeaeJ27TgZNNUGIW45CBJc7uWMLUUvHBcc3Twlh1tBVzGuKIld0RdbgiH13WaZpOkCBgpSdEv//bsJJM1NYMaNuXBk/29AQDxkYyBTwTl8GwORYPEkcPsigaZqinNQpM021QRDoK0gOyPT3sYupsgYyNRUhU0fIPPLlOU1VfPHDaRI0mZqJO864Y6oPY8owkRJpQ9TEQKaAXb0saJpEc2uJQ4f8daYpyjtjZKapNvAyRaHojVCbzwmdJrmTkzg8KDFSnQKTZr65knIDRy+4MjjPhNfiWycxdZB32jRFkKOgKorUaKoRYVOHrtLum4uCcojynNzJSRwmBA1jj6SwJQefJ6TcwNELrgzOIeen6Q3560xTBAmtiZA+LZy8jwZoqoJWRsTcydLdHKJ7Tu7KJQ4jeLZpKkT3eEZ6upTnCk4B33jxG/jGi99AwSlM9eEcFWgoC5pkpml6Y3rcaRIjEMw0paJS1HI86KyjoGlXb7rkcanTJDEZqAsbUBUFqSkoofN5YroETS5c7BjYgR0DO+Biaj3CjhYkQkbJfD8eyQKJIw9JBJ+mCE6CKVmaGxc6U2HgrYPY1ZuB53mCnCl1miQmA6uXtyOTnxp/MJ6RlpIDRy/ImNfC3n7S5DvSAq0S44NcPaYpghosU7GDPZrRHLdh6ioyeQf7h0jnyvM8KTkgMSmwDW3KGjX4PDFdMk0SE0OwRHekBVolxgf560xTBCfByXaJP9agqQrakjYAiDbeouvBcambTmaaJI4VGNr04jRJTAwNgTleiltOb8g7bZoi2A0jO+fGj866MABgZw/xmniWSVEkEVzi2IEuOE2yPHc0I5hpkpnw6Q3560xTRC0dikI7EJkZGT86WND0Tl8GruuX5qRHl8SxhJn1EdiGhva62q07JKYfmuIWLENFXdg44lZAEuODJIJPU8RsA5ef0iVMICXGh6aYBVNXkSu4gtcEyF2cxLGFxe0JLGqLT6uNQMSITPUhHHWwdA1Xnz4T6jT6HSUqY0pXkGeeeQYXX3wx2traoCgKHn/88ZLnu7u7cfXVV6OtrQ3hcBgXXXQRNm/eXPPnP/zww1AUBatXrz68B36E0By3p6Qj51iAqiroYLvvnT1pITcggyaJYw3TKWCyNAt3n3U37j7rblialEoZD8KmLvlMRwGmdAUZHh7GsmXLcM8994x4zvM8rF69Glu3bsUTTzyBl19+GTNmzMD555+P4eHhMT97+/bt+Ju/+Ru8973vnYxDlzgKwEt0u3ozyDvkOydLnRISEhISE8WUludWrVqFVatWVXxu8+bNWLduHTZs2IBFixYBAO699160tLTgoYcewrXXXlv1cx3HwV/8xV/g9ttvx29/+1v09fVNxuFLTHN0pijT9E5fBnObogCkg7iEhISExMQxbbfduRzxUGzbFo+pqgrLsvDss8+O+t477rgDTU1NuOaaa2r+roGBgZI/iaMfjVELtqEhX3Sxg3XRyUyThMTkoeAU8O0/fBvf/sO3pY2KxDGJabuCLFiwAF1dXbjpppvQ29uLfD6Pu+++G7t27cKePXuqvu/ZZ5/F/fffj/vuu6/m77rrrruQSCTEX2dn5+E4BYkphqL4vKZtB6ikK+UGJCQmDy5cbOnbgi19W6SNisQxiWm7ghiGgcceewxvvvkmUqkUwuEwnn76aaxatQqqWvmwBwcHccUVV+C+++5DQ0NDzd910003ob+/X/zt3LnzcJ2GxBSjM0W8Ji45IDNNEhISEhITxbSWHFixYgXWr1+P/v5+5PN5NDY24tRTT8VJJ51U8fVvvfUWtm/fjosvvlg85rq0WOq6jk2bNmHOnDkj3mdZFixLdnoci+go06+R3XMSEhISEhPFtA6aOBKJBAAih7/00kv42te+VvF1CxYswKuvvlry2M0334zBwUF85zvfkWW3dyHqIybCpoZ0XnbPSUhISEgcGqY0aBoaGsKWLVvEv7dt24b169cjlUqhq6sLjz76KBobG9HV1YVXX30VN9xwA1avXo2VK1eK91x55ZVob2/HXXfdBdu2sXjx4pLvSCaTADDicYl3BxRFQWcqjE17BwHIoElCQkJCYuKY0qDppZdewjnnnCP+feONNwIArrrqKjz44IPYs2cPbrzxRnR3d6O1tRVXXnklbrnllpLP2LFjR1WOk4QEQCU6HjTJ8pyEhISExESheJ7nTfVBTDcMDAwgkUigv78f8Xh8qg9H4hDRO5zHg89vBwB8dEWHIIdLSEgcXuScHG767U0AgLvee5dUBZc45nBUcJokJA4FybCBRMhAf6aAiCWHvITEZMHSLPzT2f801YchITFpkCuIxDEPRVHwoRPa0JcuIBUxp/pwJCQkJCSOUsigSeJdgYaohYaoLBVISEhISEwcMmiSkJCQkDgsKDgF/Nur/wYAuHbJtTA0Y4qPSELi8EIGTRISEhIShwUuXLx28DXx/xISxxpk/7WEhISEhISERA2QQZOEhISEhISERA2QQZOEhISEhISERA2QQZOEhISEhISERA2QQZOEhISEhISERA2Q3XMVwJ1lBgYGpvhIJCQkJI4e5Jwc8sN5ADR/ShsViaMNsVgMiqJUfV56z1XArl270NnZOdWHISEhISEhIXEEMZbnrAyaKsB1XezevXvMiHMiGBgYQGdnJ3bu3CnNgKtAXqPJh7zGY0Neo7Ehr9HYkNdocnG4r+9Y674sz1WAqqro6OiY1O+Ix+PyBhoD8hpNPuQ1HhvyGo0NeY3GhrxGk4sjdX0lEVxCQkJCQkJCogbIoElCQkJCQkJCogbIoOkIw7Is3HbbbbAs2VVSDfIaTT7kNR4b8hqNDXmNxoa8RpOLI319JRFcQkJCQkJCQqIGyEyThISEhISEhEQNkEGThISEhISEhEQNkEGThIQEAEBRFDz++ONTfRgSEhIS0xYyaDrMuPrqq7F69eqpPoyjAs888wwuvvhitLW1VVywr776aiiKUvJ30UUXTc3BHiWodM0URcGWLVum+tCmJeQYHAl+zn/1V3814rk1a9ZAURRcffXVR/7ApjHkOJo8vPDCC9A0DR/4wAem+lAAyKBJYgoxPDyMZcuW4Z577qn6mosuugh79uwRfw899NARPMKjE+XXbM+ePZg1a9ZUH9a0hByDldHZ2YmHH34YmUxGPJbNZvGTn/wEXV1dh/TZhULhUA9v2kGOo8nD/fffj+uvvx7PPPMMdu/efUif5TgOXNc9pM+QQdMk4qmnnsKZZ56JZDKJ+vp6fPCDH8Rbb70lnt++fTsURcFjjz2Gc845B+FwGMuWLcMLL7wwhUd95LBq1Sp8/etfx4c//OGqr7EsCy0tLeKvrq7uCB7h0Ynya9bS0gJN0/DEE0/gxBNPhG3bmD17Nm6//XYUi8WS9+7ZswerVq1CKBTC7Nmz8dOf/nSKzuLIQI7ByjjxxBPR2dmJxx57TDz22GOPoaurC8uXLxeP1TrHPfLII3jf+94H27bx4x//+Iiey5GAHEeTg6GhITzyyCP47Gc/iw984AN48MEHxXNr166Foih48sknsXTpUti2jfe85z3YsGGDeM2DDz6IZDKJn//85zj++ONhWRZ27NhxSMckg6ZJxPDwMG688Ua89NJL+PWvfw1VVfHhD394RKT7la98BX/zN3+D9evX47jjjsPll18+YjF7t2Lt2rVoamrC/Pnz8dnPfhYHDx6c6kM6KvHb3/4WV155JW644Qa8/vrr+Nd//Vc8+OCD+Lu/+7uS191yyy249NJL8corr+Av/uIv8Od//ufYuHHjFB319MC7dQx+6lOfwg9+8APx7wceeACf/OQnS15T6xz35S9/GTfccAM2btyICy+88Igc/3TDu3UcHQr+z//5P1iwYAHmz5+PT3ziE3jggQdQrpL0v//3/8Y3v/lNvPjii2hsbMTFF19cks1Mp9O4++678W//9m947bXX0NTUdGgH5UkcVlx11VXeJZdcUvG5/fv3ewC8V1991fM8z9u2bZsHwPu3f/s38ZrXXnvNA+Bt3LjxSBzutAEA72c/+1nJYw899JD3xBNPeH/605+8n/3sZ97ChQu9k08+2SsWi1NzkEcBrrrqKk/TNC8SiYi/j370o955553n3XnnnSWv/Y//+A+vtbVV/BuA91d/9Vclrzn11FO9z372s0fk2KcacgwS+By2b98+z7Isb/v27d727ds927a9/fv3e5dccol31VVXVXxvtTnu29/+9hE8g6mFHEeHD6effroYO4VCwWtoaPCefvppz/M87+mnn/YAeA8//LB4/cGDB71QKOQ98sgjnud53g9+8AMPgLd+/frDdkzSsHcSsXnzZtx666343e9+hwMHDojd144dO7B48WLxuqVLl4r/b21tBQDs27cPCxYsOLIHPM3w53/+5+L/lyxZgqVLl2LOnDlYu3YtzjvvvCk8sumNc845B/fee6/4dyQSwdKlS/Hcc8+VZJYcx0E2m0U6nUY4HAYAnHbaaSWfddppp2H9+vVH5LinI97NY7CxsVGURDzPwwc+8AE0NDSUvKbWOe6kk046osc+3fBuHkcTxaZNm/D73/8eP/vZzwAAuq7jsssuw/3334+zzz5bvC44Z6VSKcyfP78kO26aZskae6iQQdMk4uKLL8aMGTNw3333oa2tDa7rYvHixcjn8yWvMwxD/L+iKABwyGS1YxGzZ89GQ0MDtmzZIieaURCJRDB37tySx4aGhnD77bfjIx/5yIjX27Z9pA7tqMe7bQx+6lOfwnXXXQcAFUnOtc5xkUjkiBzv0YJ32ziaCO6//34Ui0W0tbWJxzzPg2VZ+O53v1vz54RCIbGuHg7IoGmScPDgQWzatAn33Xcf3vve9wIAnn322Sk+qqMbu3btwsGDB0U2TqJ2nHjiidi0adOIYKoc69atw5VXXlny7yDx992Od9sYvOiii5DP56EoyggukpzjJo532zgaL4rFIv793/8d3/zmN7Fy5cqS51avXo2HHnpIVGLWrVsnOjp7e3vx5ptvYuHChZN2bDJomiTU1dWhvr4e3//+99Ha2oodO3bgy1/+8lQf1rTC0NBQiX7Qtm3bsH79eqRSKaRSKdx+++249NJL0dLSgrfeegtf/OIXMXfu3HctkfRQcOutt+KDH/wgurq68NGPfhSqquKVV17Bhg0b8PWvf1287tFHH8VJJ52EM888Ez/+8Y/x+9//Hvfff/8UHvnkQo7B0aFpmih1aJpW8pyc43zIcXR48Ytf/AK9vb245pprkEgkSp679NJLcf/99+Mf/uEfAAB33HEH6uvr0dzcjK985StoaGiYXK3Ew8aOkvA8z/OuuOIK79JLL/U8z/N+9atfeQsXLvQsy/KWLl3qrV27toQkyEmSL7/8snh/b2+vB0CQ3Y5lcCJf+d9VV13lpdNpb+XKlV5jY6NnGIY3Y8YM79Of/rS3d+/eqT7saY3RGhGeeuop7/TTT/dCoZAXj8e9U045xfv+978vngfg3XPPPd4FF1zgWZblzZw5UxAqj1XIMTgSo40hz/NKiOATmeOORchxdHjxwQ9+0Hv/+99f8bnf/e53HgDvO9/5jgfA+8///E9v0aJFnmma3imnnOK98sor4rU/+MEPvEQicViPTfG8sv49iUPCRRddhLlz546r5iohISEhISFRO9auXYtzzjkHvb29SCaTR+x7pU7TYUJvby9+8YtfYO3atTj//POn+nAkJCQkJCQkDjMkp+kw4VOf+hRefPFF/PVf/zUuueSSqT4cCQkJCQkJicMMWZ6TkJCQkJCQkKgBsjwnISEhISEhIVEDZNAkISEhISEhIVEDZNAkISEhISEhIVEDZNAkISEhISEhIVEDZNAkISEhISEhIVEDZNAkISHxrsLVV189uTYLEhJHMe666y6cfPLJiMViaGpqwurVq7Fp06aS12SzWaxZswb19fWIRqO49NJL0d3dLZ5/5ZVXcPnll6OzsxOhUAgLFy7Ed77znZLPePbZZ3HGGWegvr4eoVAICxYswLe+9a2aj/Mv//IvoWkaHn300UM74XFC6jRJSEgcMxjLzfy2227Dd77zHUilFQmJyvjNb36DNWvW4OSTT0axWMTf/u3fYuXKlXj99dcRiUQAAF/4whfw5JNP4tFHH0UikcB1112Hj3zkI3juuecAAH/4wx/Q1NSEH/3oR+js7MTzzz+Pz3zmM9A0Dddddx0AIBKJ4LrrrsPSpUsRiUTw7LPP4i//8i8RiUTwmc98ZtRjTKfTePjhh/HFL34RDzzwAD72sY8d8nnn83mYpjnm66ROk4SExDGDvXv3iv9/5JFHcOutt5bskqPRKKLR6FQcmoTEUYn9+/ejqakJv/nNb3DWWWehv78fjY2N+MlPfoKPfvSjAIA33ngDCxcuxAsvvID3vOc9FT9nzZo12LhxI/7f//t/Vb/rIx/5CCKRCP7jP/5j1GP64Q9/iO9973t46qmn0NbWhjfeeAOdnZ3i+auvvhp9fX1Yvnw5vvvd7yKXy+HjH/84/vmf/1kERmeffTYWL14MXdfxox/9CEuWLMHTTz895vWQ5TkJCYljBi0tLeIvkUhAUZSSx6LR6Ijy3Nlnn43rr78en//851FXV4fm5mbcd999GB4exic/+UnEYjHMnTsX//Vf/1XyXRs2bMCqVasQjUbR3NyMK664AgcOHDjCZywhMbno7+8HAKRSKQCURSoUCiV2YQsWLEBXVxdeeOGFUT+Hf0YlvPzyy3j++efxvve9b8xjuv/++/GJT3wCiUQCq1atwoMPPjjiNb/+9a+xceNGrF27Fg899BAee+wx3H777SWv+eEPfwjTNPHcc8/he9/73pjfC8igSUJCQgI//OEP0dDQgN///ve4/vrr8dnPfhYf+9jHcPrpp+OPf/wjVq5ciSuuuALpdBoA0NfXh3PPPRfLly/HSy+9hKeeegrd3d34sz/7syk+EwmJwwfXdfH5z38eZ5xxBhYvXgyAsrmmaY4wyW1ubi7J9Abx/PPP45FHHqlYduvo6IBlWTjppJOwZs0aXHvttaMe0+bNm7Fu3TpcdtllAIBPfOIT+MEPfjCi5G6aJh544AEsWrQIH/jAB3DHHXfgn//5n+G6rnjNvHnz8I1vfAPz58/H/Pnzx7wegAyaJCQkJLBs2TLcfPPNmDdvHm666SbYto2GhgZ8+tOfxrx583Drrbfi4MGD+NOf/gQA+O53v4vly5fjzjvvxIIFC7B8+XI88MADePrpp/Hmm29O8dlISBwerFmzBhs2bMDDDz884c/YsGEDLrnkEtx2221YuXLliOd/+9vf4qWXXsL3vvc9fPvb38ZDDz0EAPjxj38syunRaBS//e1vAQAPPPAALrzwQjQ0NAAA3v/+96O/v39E2W/ZsmUIh8Pi36eddhqGhoawc+dO8diKFSvGfT6SCC4hIfGux9KlS8X/a5qG+vp6LFmyRDzW3NwMANi3bx8A6g56+umnK/Kj3nrrLRx33HGTfMQSEpOL6667Dr/4xS/wzDPPoKOjQzze0tKCfD6Pvr6+kmxTd3c3WlpaSj7j9ddfx3nnnYfPfOYzuPnmmyt+z6xZswAAS5YsQXd3N7761a/i8ssvx4c+9CGceuqp4nXt7e1wHAc//OEPsXfvXui6H744joMHHngA55133rjOkRPbxwMZNElISLzrYRhGyb8VRSl5jHfl8dT+0NAQLr74Ytx9990jPqu1tXUSj1RCYnLheR6uv/56/OxnP8PatWtFUMOxYsUKGIaBX//617j00ksBAJs2bcKOHTtw2mmnide99tprOPfcc3HVVVfh7/7u72r6btd1kcvlAACxWAyxWKzk+f/8z//E4OAgXn75ZWiaJh7fsGEDPvnJT5YEcq+88goymQxCoRAAYN26dYhGoyWE8YlABk0SEhIS48SJJ56I//t//y9mzpxZsuOVkDjasWbNGvzkJz/BE088gVgsJnhKiUQCoVAIiUQC11xzDW688UakUinE43Fcf/31OO2000Tn3IYNG3DuuefiwgsvxI033ig+Q9M0NDY2AgDuuecedHV1YcGCBQCAZ555Bv/4j/+Iz33uc1WP7f7778cHPvABLFu2rOTx448/Hl/4whfw4x//GGvWrAFAEgLXXHMNbr75Zmzfvh233XYbrrvuOqjqobGSJKdJQkJCYpxYs2YNenp6cPnll+PFF1/EW2+9hf/+7//GJz/5STiOM9WHJyExYdx7773o7+/H2WefjdbWVvH3yCOPiNd861vfwgc/+EFceumlOOuss9DS0oLHHntMPP/Tn/4U+/fvx49+9KOSzzj55JPFa1zXxU033YQTTjgBJ510Eu655x7cfffduOOOOyoeV3d3N5588kmR3QpCVVV8+MMfxv333y8eO++88zBv3jycddZZuOyyy/ChD30IX/3qVw/5+sgtkoSEhMQ40dbWhueeew5f+tKXsHLlSuRyOcyYMQMXXXTRIe9kJSSmErVIN9q2jXvuuQf33HNPxee/+tWvjhmgXH/99bj++utrPq7m5mYUCoWqz//Lv/zLiMduv/32ETIDHGvXrq35u4OQ4pYSEhISEhISxwy4uOXjjz9+2D9bbokkJCQkJCQkJGqAzDRJSEhISEhISNQAmWmSkJCQkJCQkKgBMmiSkJCQkJCQkKgBMmiSkJCQkJCQkKgBMmiSkJCQkJCQkKgBMmiSkJCQkJCQkKgBMmiSkJCQkJCQkKgBMmiSkJCQkJCQkKgBMmiSkJCQkJCQkKgBMmiSkJCQkJCQkKgBMmiSkJCQkJCQkKgB/z84JGE8xN0lPgAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "cfg = Config(\n", - " n_control_units=10,\n", - " n_pre_intervention_timepoints=60,\n", - " n_post_intervention_timepoints=30,\n", - " seed=123,\n", - ")\n", + "# Treatment assignment matrix\n", + "D = np.zeros((90, 11)) # 90 time points, 11 units\n", + "D[60:, -1] = 1 # Last unit treated after 60 time points\n", + "\n", + "cfg = Config(treatment_assignments=D)\n", "\n", "data = simulate(cfg)\n", "ax = plot(data)" @@ -93,10 +102,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "6", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "means = [10, 50]\n", "scales = [0.1, 0.5]\n", @@ -104,9 +124,7 @@ "fig, axes = plt.subplots(ncols=2, nrows=2, figsize=(10, 6), tight_layout=True)\n", "for (m, s), ax in zip(product(means, scales), axes.ravel(), strict=False):\n", " cfg = Config(\n", - " n_control_units=10,\n", - " n_pre_intervention_timepoints=60,\n", - " n_post_intervention_timepoints=30,\n", + " treatment_assignments=D,\n", " global_mean=m,\n", " global_scale=s,\n", " )\n", @@ -129,15 +147,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "8", "metadata": {}, "outputs": [], "source": [ "cfg = Config(\n", - " n_control_units=10,\n", - " n_pre_intervention_timepoints=60,\n", - " n_post_intervention_timepoints=30,\n", + " treatment_assignments=D,\n", " seed=42,\n", ")" ] @@ -152,10 +168,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "10", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "rng = np.random.RandomState(42)\n", "\n", @@ -202,10 +240,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "14", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "effect = StaticEffect(effect=0.02)\n", "inflated_data = effect(data)\n", @@ -228,10 +277,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "16", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "trend_term = Trend(degree=1, coefficient=0.1)\n", "data_with_trend = effect(trend_term(data))\n", @@ -240,10 +300,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "17", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "trend_term = Trend(degree=2, coefficient=0.0025)\n", "data_with_trend = effect(trend_term(data))\n", @@ -260,10 +331,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "19", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "periodicity = Periodic(amplitude=2, frequency=6)\n", "perioidic_data = effect(periodicity(trend_term(data)))\n", @@ -280,10 +362,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "21", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "sampling_dist = norm(0.0, 1.0)\n", "intercept = UnitVaryingParameter(sampling_dist=sampling_dist)\n", @@ -294,10 +387,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "22", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "sampling_dist = poisson(2)\n", "frequency = UnitVaryingParameter(sampling_dist=sampling_dist)\n", @@ -329,8 +433,22 @@ "main_language": "python", "notebook_metadata_filter": "-all" }, + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.16" } }, "nbformat": 4, diff --git a/docs/examples/placebo_test.ipynb b/docs/examples/placebo_test.ipynb index 511008e..f04b660 100644 --- a/docs/examples/placebo_test.ipynb +++ b/docs/examples/placebo_test.ipynb @@ -25,7 +25,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "1", "metadata": {}, "outputs": [], @@ -33,6 +33,7 @@ "from azcausal.core.error import JackKnife\n", "from azcausal.estimators.panel.did import DID\n", "from azcausal.estimators.panel.sdid import SDID\n", + "import numpy as np\n", "from scipy.stats import norm\n", "\n", "from causal_validation import (\n", @@ -41,7 +42,7 @@ ")\n", "from causal_validation.data import DatasetContainer\n", "from causal_validation.effects import StaticEffect\n", - "from causal_validation.models import AZCausalWrapper\n", + "from causal_validation.estimator.utils import AZCausalWrapper\n", "from causal_validation.plotters import plot\n", "from causal_validation.transforms import Trend\n", "from causal_validation.validation.placebo import PlaceboTest\n", @@ -62,15 +63,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "3", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ + "D = np.zeros((90, 11))\n", + "D[60:, -1] = 1\n", + "\n", "cfg = Config(\n", - " n_control_units=10,\n", - " n_pre_intervention_timepoints=60,\n", - " n_post_intervention_timepoints=30,\n", + " treatment_assignments=D,\n", " seed=123,\n", ")\n", "\n", @@ -95,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "5", "metadata": {}, "outputs": [], @@ -117,18 +130,65 @@ "estimated effect, the effect's standard error, and the p-value that corresponds to the\n", "null-hypothesis test that the effect is 0.\n", "\n", - "In the below, we see that expected estimated effect is small at just 0.08.\n", - "Accordingly, the p-value attains a value of 0.5, indicating that we have insufficient\n", + "In the below, we see that expected estimated effect is small at just 0.05.\n", + "Accordingly, the p-value attains a value of 0.7, indicating that we have insufficient\n", "evidence to reject the null hypothesis and we, therefore, have no evidence to suggest\n", "that there is bias within this particular setup." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "7", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6a96f6bc3b05448ca079d367a95d3280", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Output()" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
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+       "
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+       "| Model | Dataset   | Effect | Standard Deviation | Standard Error | p-value |\n",
+       "|-------|-----------|--------|--------------------|----------------|---------|\n",
+       "| SDID  | Dataset 0 | 0.0503 | 0.4101             | 0.1297         | 0.7217  |\n",
+       "                                                                              \n",
+       "
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+      "text/html": [
+       "
                                                                            \n",
+       "| Model | Dataset | Effect | Standard Deviation | Standard Error | p-value |\n",
+       "|-------|---------|--------|--------------------|----------------|---------|\n",
+       "| SDID  | Simple  | 0.0503 | 0.4101             | 0.1297         | 0.7217  |\n",
+       "| DID   | Simple  | 0.0003 | 0.2873             | 0.0909         | 0.998   |\n",
+       "                                                                            \n",
+       "
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+       "
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+       "| Model | Dataset | Effect  | Standard Deviation | Standard Error | p-value |\n",
+       "|-------|---------|---------|--------------------|----------------|---------|\n",
+       "| SDID  | Simple  | 0.0503  | 0.4101             | 0.1297         | 0.7217  |\n",
+       "| DID   | Simple  | 0.0003  | 0.2873             | 0.0909         | 0.998   |\n",
+       "| SDID  | Complex | -0.2304 | 1.3511             | 0.4273         | 0.6213  |\n",
+       "| DID   | Complex | -0.7608 | 9.3481             | 2.9561         | 0.8126  |\n",
+       "                                                                             \n",
+       "
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Args: - n_control_units (int): Number of control units in the synthetic dataset. - n_pre_intervention_timepoints (int): Number of time points before intervention. - n_post_intervention_timepoints (int): Number of time points after intervention. + treatment_assignments (Float[np.ndarray, "T N"]): Treatment assignments for T + time steps and N units. Only supported with binary assignments. + treated_simulation_type ("TreatedSimulationTypes"): Treated units can be + simulated either "independent" of control units or "control-weighted", + where waiting scheme is controlled by Dirichlet concentration parameter. + Set to "control-weighted" by default. + dirichlet_concentration (Number): Dirichlet parameters are set to a vector of + dirichlet_concentration with length number of control units. This parameter + controls how dense and sparse the generated weights are. Set to 1 by default + and in effect only if treated_simulation_type is "control-weighted". n_covariates (Optional[int]): Number of covariates. Defaults to None. - covariate_means (Optional[Float[np.ndarray, "D K"]]): Mean values for covariates - D is n_control_units and K is n_covariates. Defaults to None. If it is set - to None while n_covariates is provided, covariate_means will be generated + covariate_means (Optional[np.ndarray]): Normal dist. mean values for covariates. + The lenght must be n_covariates. Defaults to None. If it is set to + None while n_covariates is provided, covariate_means will be generated randomly from Normal distribution. - covariate_stds (Optional[Float[np.ndarray, "D K"]]): Standard deviations for - covariates. D is n_control_units and K is n_covariates. Defaults to None. - If it is set to None while n_covariates is provided, covariate_stds - will be generated randomly from Half-Cauchy distribution. + covariate_stds (Optional[np.ndarray]): Normal dist. std values for covariates. + The lenght must be n_covariates. Defaults to None. If it is set to + None while n_covariates is provided, covariate_stds will be generated + randomly from Half-Cauchy distribution. covariate_coeffs (Optional[np.ndarray]): Linear regression coefficients to map covariates to output observations. K is n_covariates. Defaults to None. @@ -45,46 +45,41 @@ class Config: global_scale (Number): Global scale for data generation. Defaults to 0.2. start_date (dt.date): Start date for time series. Defaults to 2023-01-01. seed (int): Random seed for reproducibility. Defaults to 123. - weights_cfg (WeightConfig): Configuration for unit weights. Defaults to - UniformWeights. + weights (Optional[list[np.ndarray]]): Length num of treateds list of weights. + Each element is length num of control, indicating how to weigh control + units to generate treated. """ - n_control_units: int - n_pre_intervention_timepoints: int - n_post_intervention_timepoints: int + treatment_assignments: Float[np.ndarray, "T N"] + treated_simulation_type: "TreatedSimulationTypes" = "control-weighted" + dirichlet_concentration: Number = 1.0 n_covariates: tp.Optional[int] = None - covariate_means: tp.Optional[Float[np.ndarray, "D K"]] = None - covariate_stds: tp.Optional[Float[np.ndarray, "D K"]] = None + covariate_means: tp.Optional[np.ndarray] = None + covariate_stds: tp.Optional[np.ndarray] = None covariate_coeffs: tp.Optional[np.ndarray] = None global_mean: Number = 20.0 global_scale: Number = 0.2 start_date: dt.date = dt.date(year=2023, month=1, day=1) seed: int = 123 - weights_cfg: WeightConfig = field(default_factory=WeightConfig) + weights: tp.Optional[list[np.ndarray]] = None def __post_init__(self): self.rng = np.random.RandomState(self.seed) if self.covariate_means is not None: - assert self.covariate_means.shape == ( - self.n_control_units, - self.n_covariates, - ) + assert self.covariate_means.shape == (self.n_covariates,) if self.covariate_stds is not None: - assert self.covariate_stds.shape == ( - self.n_control_units, - self.n_covariates, - ) + assert self.covariate_stds.shape == (self.n_covariates,) if (self.n_covariates is not None) & (self.covariate_means is None): self.covariate_means = self.rng.normal( - loc=0.0, scale=5.0, size=(self.n_control_units, self.n_covariates) + loc=0.0, scale=5.0, size=(self.n_covariates) ) if (self.n_covariates is not None) & (self.covariate_stds is None): self.covariate_stds = halfcauchy.rvs( scale=0.5, - size=(self.n_control_units, self.n_covariates), + size=(self.n_covariates), random_state=self.rng, ) @@ -92,3 +87,22 @@ def __post_init__(self): self.covariate_coeffs = self.rng.normal( loc=0.0, scale=5.0, size=self.n_covariates ) + + n_units = self.treatment_assignments.shape[1] + treated_units = [ + i for i in range(n_units) if any(self.treatment_assignments[:, i] != 0) + ] + n_treated_units = len(treated_units) + n_control_units = n_units - n_treated_units + + if self.treated_simulation_type == "control-weighted": + if self.weights is None: + self.weights = [ + self.rng.dirichlet( + self.dirichlet_concentration * np.ones(n_control_units) + ) + for _ in range(n_treated_units) + ] + else: + assert len(self.weights) == n_treated_units + assert all([len(w) == n_control_units for w in self.weights]) diff --git a/src/causal_validation/data.py b/src/causal_validation/data.py index 73f0c6f..a5dadac 100644 --- a/src/causal_validation/data.py +++ b/src/causal_validation/data.py @@ -5,8 +5,6 @@ import datetime as dt import typing as tp -from azcausal.core.panel import CausalPanel -from azcausal.util import to_panels from jaxtyping import ( Float, Integer, @@ -21,279 +19,309 @@ @dataclass class Dataset: - """A causal inference dataset containing pre/post intervention observations - and optional associated covariates. + """A causal inference dataset containing outputs that are the + metric of interest, covariates, and treatment status. Attributes: - Xtr: Pre-intervention control unit observations (N x D) - Xte: Post-intervention control unit observations (M x D) - ytr: Pre-intervention treated unit observations (N x 1) - yte: Post-intervention treated unit observations (M x 1) + Y (Float[np.ndarray, "T N"]): Matrix of outputs that are + the metric of interest for T time points and total + N units. + D (Float[np.ndarray, "T N"]): Matrix of treatment status + for all N units at every T time points. D can be a + matrix of binary or continuous values depending on + treatment type. + X (Optional[Float[np.ndarray, "T N D"]]): A tensor of + D-dimensional covariates for T time periods and + N units. _start_date: Start date for time indexing - Ptr: Pre-intervention control unit covariates (N x D x F) - Pte: Post-intervention control unit covariates (M x D x F) - Rtr: Pre-intervention treated unit covariates (N x 1 x F) - Rte: Post-intervention treated unit covariates (M x 1 x F) - counterfactual: Optional counterfactual outcomes (M x 1) - synthetic: Optional synthetic control outcomes (M x 1). - This is weighted combination of control units - minimizing a distance-based error w.r.t. the - treated in pre-intervention period. _name: Optional name identifier for the dataset """ - Xtr: Float[np.ndarray, "N D"] - Xte: Float[np.ndarray, "M D"] - ytr: Float[np.ndarray, "N 1"] - yte: Float[np.ndarray, "M 1"] - _start_date: dt.date - Ptr: tp.Optional[Float[np.ndarray, "N D F"]] = None - Pte: tp.Optional[Float[np.ndarray, "M D F"]] = None - Rtr: tp.Optional[Float[np.ndarray, "N 1 F"]] = None - Rte: tp.Optional[Float[np.ndarray, "M 1 F"]] = None - counterfactual: tp.Optional[Float[np.ndarray, "M 1"]] = None - synthetic: tp.Optional[Float[np.ndarray, "M 1"]] = None - _name: str = None - - def __post_init__(self): - covariates = [self.Ptr, self.Pte, self.Rtr, self.Rte] - self.has_covariates = all(cov is not None for cov in covariates) - if not self.has_covariates: - assert all(cov is None for cov in covariates) + Y: Float[np.ndarray, "T N"] + D: tp.Union[Float[np.ndarray, "T N"], Integer[np.ndarray, "T N"]] + X: tp.Optional[Float[np.ndarray, "T N D"]] = None + _start_date: dt.date = dt.date(year=2023, month=1, day=1) + # counterfactual: tp.Optional[Float[np.ndarray, "M 1"]] = None + # synthetic: tp.Optional[Float[np.ndarray, "M 1"]] = None + _name: tp.Optional[str] = None def to_df( - self, index_start: str = dt.date(year=2023, month=1, day=1) - ) -> tp.Tuple[pd.DataFrame, tp.Optional[pd.DataFrame]]: - control_outputs = np.vstack([self.Xtr, self.Xte]) - treated_outputs = np.vstack([self.ytr, self.yte]) - data = np.hstack([treated_outputs, control_outputs]) + self, index_start: dt.date = dt.date(year=2023, month=1, day=1) + ) -> pd.DataFrame: + """Convert the dataset to a pandas DataFrame with multi-level columns. + + Args: + index_start (date): Start date for the DataFrame index. + + Returns: + DataFrame: A pandas DataFrame with time index and multi-level + columns for units and variables. + """ index = self._get_index(index_start) - colnames = self._get_columns() - indicator = self._get_indicator() - df_outputs = pd.DataFrame(data, index=index, columns=colnames) - df_outputs = df_outputs.assign(treated=indicator) + unit_cols = self._get_columns() - if not self.has_covariates: - cov_df = None - else: - control_covs = np.concatenate([self.Ptr, self.Pte], axis=0) - treated_covs = np.concatenate([self.Rtr, self.Rte], axis=0) + var_cols = ["Y", "D"] + if self.X is not None: + var_cols.extend([f"X{i}" for i in range(self.n_covariates)]) + + col_tuples = [(unit, var) for unit in unit_cols for var in var_cols] + multi_cols = pd.MultiIndex.from_tuples(col_tuples) - all_covs = np.concatenate([treated_covs, control_covs], axis=1) + unit_data = [] + for i in range(self.n_units): + unit_data.append(self.Y[:, i : i + 1]) + unit_data.append(self.D[:, i : i + 1]) + if self.X is not None: + unit_data.append(self.X[:, i, :]) - unit_cols = self._get_columns() - covariate_cols = [f"F{i}" for i in range(self.n_covariates)] + combined_data = np.concatenate(unit_data, axis=1) + return pd.DataFrame(combined_data, index=index, columns=multi_cols) - cov_data = all_covs.reshape(self.n_timepoints, -1) + @property + def n_post_intervention(self) -> list[int]: + """Number of post-intervention time points for each unit. - col_tuples = [(unit, cov) for unit in unit_cols for cov in covariate_cols] - multi_cols = pd.MultiIndex.from_tuples(col_tuples) + Returns: + list[int]: List of post-intervention counts for each unit. + """ + binary_assignments = -1 * ((self.D == 0).astype(int) - 1) + binary_assignment_counts = (binary_assignments.sum(axis=0)).tolist() + return binary_assignment_counts - cov_df = pd.DataFrame(cov_data, index=index, columns=multi_cols) - cov_df = cov_df.assign(treated=indicator) + @property + def n_pre_intervention(self) -> list[int]: + """Number of pre-intervention time points for each unit. - return df_outputs, cov_df + Returns: + list[int]: List of pre-intervention counts for each unit. + """ + is_zero = (self.D == 0).astype(int) + pre_intervention_counts = (is_zero.sum(axis=0)).tolist() + return pre_intervention_counts @property - def n_post_intervention(self) -> int: - return self.Xte.shape[0] + def n_units(self) -> int: + """Total number of units in the dataset. + + Returns: + int: Number of units. + """ + return self.Y.shape[1] @property - def n_pre_intervention(self) -> int: - return self.Xtr.shape[0] + def n_control_units(self) -> int: + """Number of control units in the dataset. + + Returns: + int: Number of control units (units with treatment + assignment 0 in all time points). + """ + return len(self.control_unit_indices) @property - def n_units(self) -> int: - return self.Xtr.shape[1] + def n_treated_units(self) -> int: + """Number of treated units in the dataset. + + Returns: + int: Number of treated units (units with non-zero + treatment assignment at least once. + """ + return len(self.treated_unit_indices) @property def n_timepoints(self) -> int: - return self.n_post_intervention + self.n_pre_intervention + """Total number of time points in the dataset. + + Returns: + int: Number of time points. + """ + return self.Y.shape[0] @property def n_covariates(self) -> int: - if self.has_covariates: - return self.Ptr.shape[2] + """Covariate dimensionality. + + Returns: + int: Number of covariates, or 0 if no covariates exist. + """ + if self.X is not None: + return self.X.shape[2] else: return 0 @property - def control_units(self) -> Float[np.ndarray, "{self.n_timepoints} {self.n_units}"]: - return np.vstack([self.Xtr, self.Xte]) + def control_unit_indices(self) -> list[int]: + """Indices of control units (units that never receive treatment). - @property - def treated_units(self) -> Float[np.ndarray, "{self.n_timepoints} 1"]: - return np.vstack([self.ytr, self.yte]) + Returns: + list[int]: List of control unit indices. + """ + return [i for i in range(self.n_units) if all(self.D[:, i] == 0)] @property - def control_covariates( - self, - ) -> tp.Optional[ - Float[np.ndarray, "{self.n_timepoints} {self.n_units} {self.n_covariates}"] - ]: - if self.has_covariates: - return np.vstack([self.Ptr, self.Pte]) - else: - return None + def treated_unit_indices(self) -> list[int]: + """Indices of treated units (units that receive treatment at some point). - @property - def treated_covariates( - self, - ) -> tp.Optional[Float[np.ndarray, "{self.n_timepoints} 1 {self.n_covariates}"]]: - if self.has_covariates: - return np.vstack([self.Rtr, self.Rte]) - else: - return None + Returns: + list[int]: List of treated unit indices. + """ + return [i for i in range(self.n_units) if any(self.D[:, i] != 0)] @property - def pre_intervention_obs( + def control_unit_outputs( self, - ) -> tp.Tuple[Float[np.ndarray, "N D"], Float[np.ndarray, "N 1"]]: - return self.Xtr, self.ytr + ) -> Float[np.ndarray, "{self.n_timepoints} {self.n_control_units}"]: + """Output values for control units (units that never receive treatment) + only. + + Returns: + Float[np.ndarray, "n_timepoints n_control_units"]: + Array of outputs for control units across all time points. + """ + return self.Y[:, self.control_unit_indices] @property - def post_intervention_obs( + def treated_unit_outputs( self, - ) -> tp.Tuple[Float[np.ndarray, "M D"], Float[np.ndarray, "M 1"]]: - return self.Xte, self.yte + ) -> Float[np.ndarray, "{self.n_timepoints} {self.n_treated_units}"]: + """Output values for treated (units that receive treatment at some point) + units only. + + Returns: + Float[np.ndarray, "n_timepoints n_control_units"]: + Array of outputs for treated units across all time points. + """ + return self.Y[:, self.treated_unit_indices] @property - def pre_intervention_covariates( + def control_unit_covariates( self, ) -> tp.Optional[ - tp.Tuple[ - Float[np.ndarray, "N D F"], - Float[np.ndarray, "N 1 F"], + Float[ + np.ndarray, "{self.n_timepoints} {self.n_control_units} {self.n_covariates}" ] ]: - if self.has_covariates: - return self.Ptr, self.Rtr - else: - return None + """Covariate values for control units (units that never receive treatment) + only. + + Returns: + Float[np.ndarray, "n_timepoints n_control_units n_covariates"]: + Array of covariates for control units, or None if no covariates + exist. + """ + if self.X is not None: + return self.X[:, self.control_unit_indices, :] @property - def post_intervention_covariates( + def treated_unit_covariates( self, ) -> tp.Optional[ - tp.Tuple[ - Float[np.ndarray, "M D F"], - Float[np.ndarray, "M 1 F"], + Float[ + np.ndarray, "{self.n_timepoints} {self.n_treated_units} {self.n_covariates}" ] ]: - if self.has_covariates: - return self.Pte, self.Rte - else: - return None + """Covariate values for treated units (units that receive treatment at some + point) only. + + Returns: + Float[np.ndarray, "n_timepoints n_control_units n_covariates"]: + Array of covariates for treated units, or None if no covariates + exist. + """ + if self.X is not None: + return self.X[:, self.treated_unit_indices, :] @property def full_index(self) -> DatetimeIndex: return self._get_index(self._start_date) - @property - def treatment_date(self) -> Timestamp: + def treatment_date(self, unit_idx: int) -> tp.Optional[Timestamp]: + """Treatment start date for a specific unit. + + Args: + unit_idx: Index of the unit. + + Returns: + Optional[Timestamp]: When treatment begins for the + specified unit. + """ idxs = self.full_index - return idxs[self.n_pre_intervention] + treatment_idx = self.n_pre_intervention[unit_idx] + if treatment_idx >= len(idxs): + return None + else: + return idxs[self.n_pre_intervention[unit_idx]] - def get_index(self, period: InterventionTypes) -> DatetimeIndex: + def get_index(self, period: InterventionTypes, unit_idx: int) -> DatetimeIndex: if period == "pre-intervention": - return self.full_index[: self.n_pre_intervention] + return self.full_index[: self.n_pre_intervention[unit_idx]] elif period == "post-intervention": - return self.full_index[self.n_pre_intervention :] + return self.full_index[self.n_pre_intervention[unit_idx] :] else: return self.full_index def _get_columns(self) -> tp.List[str]: - colnames = ["T"] + [f"C{i}" for i in range(self.n_units)] + colnames = [f"U{i}" for i in range(self.n_units)] return colnames def _get_index(self, start_date: dt.date) -> DatetimeIndex: return pd.date_range(start=start_date, freq="D", periods=self.n_timepoints) - def _get_indicator(self) -> Integer[np.ndarray, "N 1"]: - indicator = np.vstack( - [ - np.zeros(shape=(self.n_pre_intervention, 1)).astype(np.int64), - np.ones(shape=(self.n_post_intervention, 1)).astype(np.int64), - ] - ) - return indicator - - def inflate(self, inflation_vals: Float[np.ndarray, "M 1"]) -> Dataset: - Xtr, ytr = [deepcopy(i) for i in self.pre_intervention_obs] - Xte, yte = [deepcopy(i) for i in self.post_intervention_obs] - inflated_yte = yte * inflation_vals + def inflate(self, inflation_vals: Float[np.ndarray, "T N"]) -> Dataset: + """ + Inflate the outputs Y by inflation_vals that are multiplicative factors + to be applied, i.e. Y*inflation_vals. + + Args: + inflation_vals (Float[np.ndarray, "T N"]): Multiplicative inflation + coefficients. + + Returns: + Dataset: Inflated dataset. + """ + Y_ = deepcopy(self.Y) + D_ = deepcopy(self.D) + X_ = deepcopy(self.X) + inflated_Y_ = Y_ * inflation_vals return Dataset( - Xtr, - Xte, - ytr, - inflated_yte, + inflated_Y_, + D_, + X_, self._start_date, - self.Ptr, - self.Pte, - self.Rtr, - self.Rte, - yte, - self.synthetic, self._name, ) def __eq__(self, other: Dataset) -> bool: - ytr = np.allclose(self.ytr, other.ytr) - yte = np.allclose(self.yte, other.yte) - if self.Xtr.shape == other.Xtr.shape: - xtr = np.allclose(self.Xtr, other.Xtr) + if self.Y.shape == other.Y.shape: + Y_check = np.allclose(self.Y, other.Y) else: - xtr = False - if self.Xte.shape == other.Xte.shape: - xte = np.allclose(self.Xte, other.Xte) + Y_check = False + if self.D.shape == other.D.shape: + D_check = np.allclose(self.D, other.D) else: - xte = False - return all([xtr, ytr, xte, yte]) - - def to_azcausal(self): - time_index = np.arange(self.n_timepoints) - data_df, _ = self.to_df() - data = data_df.assign(time=time_index).melt(id_vars=["time", "treated"]) - data.loc[:, "treated"] = np.where( - (data["variable"] == "T") & (data["treated"] == 1.0), 1, 0 - ) - panels = to_panels(data, "time", "variable", ["value", "treated"]) - ctypes = dict( - outcome="value", time="time", unit="variable", intervention="treated" - ) - panel = CausalPanel(panels).setup(**ctypes) - return panel + D_check = False + if self.X is not None: + if other.X is not None: + if self.X.shape == other.X.shape: + X_check = np.allclose(self.X, other.X) + else: + X_check = False + else: + X_check = False + elif other.X is None: + X_check = True + else: + X_check = False + + return all([Y_check, D_check, X_check]) @property def _slots(self) -> tp.Dict[str, int]: - return {"n_units": self.n_units + 1, "n_timepoints": self.n_timepoints} - - def drop_unit(self, idx: int) -> Dataset: - Xtr = np.delete(self.Xtr, [idx], axis=1) - Xte = np.delete(self.Xte, [idx], axis=1) - Ptr = np.delete(self.Ptr, [idx], axis=1) if self.Ptr is not None else None - Pte = np.delete(self.Pte, [idx], axis=1) if self.Pte is not None else None - return Dataset( - Xtr, - Xte, - self.ytr, - self.yte, - self._start_date, - Ptr, - Pte, - self.Rtr, - self.Rte, - self.counterfactual, - self.synthetic, - self._name, - ) - - def to_placebo_data(self, to_treat_idx: int) -> Dataset: - ytr = self.Xtr[:, to_treat_idx].reshape(-1, 1) - yte = self.Xte[:, to_treat_idx].reshape(-1, 1) - dropped_data = self.drop_unit(to_treat_idx) - placebo_data = reassign_treatment(dropped_data, ytr, yte) - return placebo_data + return { + "n_units": self.n_units, + "n_timepoints": self.n_timepoints, + "n_covariates": self.n_covariates, + } @property def name(self) -> tp.Optional[str]: @@ -306,6 +334,13 @@ def name(self, value: str) -> None: @dataclass class DatasetContainer: + """Container for multiple Dataset instances. + + Attributes: + datasets (List[Dataset]): List of Dataset instances. + names (Optional[tp.List[str]]): List of names for the datasets. + """ + datasets: tp.List[Dataset] names: tp.Optional[tp.List[str]] = None @@ -331,24 +366,3 @@ def as_dict(self) -> tp.Dict[str, Dataset]: def __len__(self) -> int: return len(self.datasets) - - -def reassign_treatment( - data: Dataset, ytr: Float[np.ndarray, "N 1"], yte: Float[np.ndarray, "M 1"] -) -> Dataset: - Xtr = data.Xtr - Xte = data.Xte - return Dataset( - Xtr, - Xte, - ytr, - yte, - data._start_date, - data.Ptr, - data.Pte, - data.Rtr, - data.Rte, - data.counterfactual, - data.synthetic, - data._name, - ) diff --git a/src/causal_validation/effects.py b/src/causal_validation/effects.py index accf3b5..f9ae2a0 100644 --- a/src/causal_validation/effects.py +++ b/src/causal_validation/effects.py @@ -15,11 +15,11 @@ class AbstractEffect(BaseObject): name: str = "Abstract Effect" - def get_effect(self, data: Dataset, **kwargs) -> Float[np.ndarray, "N 1"]: + def get_effect(self, data: Dataset, **kwargs) -> Float[np.ndarray, "T N"]: raise NotImplementedError("Please implement `get_effect` in all subclasses.") def __call__(self, data: Dataset, **kwargs) -> Dataset: - inflation_vals = self.get_effect(data) + inflation_vals = self.get_effect(data, **kwargs) return data.inflate(inflation_vals) @@ -36,30 +36,47 @@ class _RandomEffect: @dataclass class StaticEffect(AbstractEffect, _StaticEffect): + """ + Static effect to be applied on treated units in treatment periods. + The effect is meant to be applied proportionally to the treatment + dosage. + + Attributes: + effect (float): Rate effect to be applied, i.e., 0.3 = 30% lift. + name (str): Name for the effect. 'Static Effect' by default. + """ + effect: float - name = "Static Effect" + name: str = "Static Effect" - def get_effect(self, data: Dataset, **kwargs) -> Float[np.ndarray, "N 1"]: - n_post_intervention = data.n_post_intervention - return np.repeat(1.0 + self.effect, repeats=n_post_intervention)[:, None] + def get_effect(self, data: Dataset, **kwargs) -> Float[np.ndarray, "T N"]: + return np.ones(data.D.shape) + data.D * self.effect @dataclass class RandomEffect(AbstractEffect, _RandomEffect): + """ + Random effect to be applied on treated units in treatment periods. + The effect is meant to be applied proportionally to the treatment + dosage. The effects are randomly sampled from Normal dist. + + Attributes: + mean_effect (float): Rate effect mean to be applied. + stddev_effect (float): Rate effect std. dev. to be applied. + name (str): Name for the effect. 'Random Effect' by default. + """ + mean_effect: float stddev_effect: float name: str = "Random Effect" def get_effect( self, data: Dataset, key: np.random.RandomState - ) -> Float[np.ndarray, "N 1"]: - n_post_intervention = data.n_post_intervention + ) -> Float[np.ndarray, "T N"]: effect_sample = key.normal( - loc=1.0 + self.mean_effect, - scale=self.stddev_effect, - size=(n_post_intervention, 1), + loc=self.mean_effect, scale=self.stddev_effect, size=data.D.shape ) - return effect_sample + return np.ones(data.D.shape) + data.D * effect_sample # Placeholder for now. diff --git a/src/causal_validation/estimator/__init__.py b/src/causal_validation/estimator/__init__.py new file mode 100644 index 0000000..11b6631 --- /dev/null +++ b/src/causal_validation/estimator/__init__.py @@ -0,0 +1,3 @@ +from causal_validation.estimator.result import Result + +__all__ = ["Result"] diff --git a/src/causal_validation/estimator/result.py b/src/causal_validation/estimator/result.py new file mode 100644 index 0000000..54c5634 --- /dev/null +++ b/src/causal_validation/estimator/result.py @@ -0,0 +1,14 @@ +from dataclasses import dataclass + +from azcausal.core.effect import Effect +from jaxtyping import Float + +from causal_validation.types import NPArray + + +@dataclass +class Result: + effect: Effect + counterfactual: Float[NPArray, "N 1"] + synthetic: Float[NPArray, "N 1"] + observed: Float[NPArray, "N 1"] diff --git a/src/causal_validation/models.py b/src/causal_validation/estimator/utils.py similarity index 58% rename from src/causal_validation/models.py rename to src/causal_validation/estimator/utils.py index 499ffe1..d391fa6 100644 --- a/src/causal_validation/models.py +++ b/src/causal_validation/estimator/utils.py @@ -1,22 +1,45 @@ from dataclasses import dataclass import typing as tp -from azcausal.core.effect import Effect from azcausal.core.error import Error from azcausal.core.estimator import Estimator +from azcausal.core.panel import ( + CausalPanel, + Panel, +) from azcausal.core.result import Result as _Result +from azcausal.util import to_panels from jaxtyping import Float +import pandas as pd from causal_validation.data import Dataset +from causal_validation.estimator import Result from causal_validation.types import NPArray -@dataclass -class Result: - effect: Effect - counterfactual: Float[NPArray, "N 1"] - synthetic: Float[NPArray, "N 1"] - observed: Float[NPArray, "N 1"] +def to_azcausal(dataset: Dataset) -> Panel: + if dataset.n_treated_units != 1: + raise ValueError("Only one treated unit is supported.") + time_index = dataset.full_index + unit_cols = dataset._get_columns() + + data = [] + for time_idx in range(dataset.n_timepoints): + for unit_idx, unit in enumerate(unit_cols): + data.append( + { + "variable": unit, + "time": time_index[time_idx], + "value": dataset.Y[time_idx, unit_idx], + "treated": int(dataset.D[time_idx, unit_idx]), + } + ) + + df_data = pd.DataFrame(data) + panels = to_panels(df_data, "time", "variable", ["value", "treated"]) + ctypes = dict(outcome="value", time="time", unit="variable", intervention="treated") + panel = CausalPanel(panels).setup(**ctypes) + return panel @dataclass @@ -29,7 +52,7 @@ def __post_init__(self): self._model_name = self.model.__class__.__name__ def __call__(self, data: Dataset, **kwargs) -> Result: - panel = data.to_azcausal() + panel = to_azcausal(data) result = self.model.fit(panel, **kwargs) if self.error_estimator: self.model.error(result, self.error_estimator) diff --git a/src/causal_validation/plotters.py b/src/causal_validation/plotters.py index be5d91b..b588350 100644 --- a/src/causal_validation/plotters.py +++ b/src/causal_validation/plotters.py @@ -29,16 +29,42 @@ def plot( title: tp.Optional[str] = None, ) -> Axes: cols = mpl.rcParams["axes.prop_cycle"].by_key()["color"] - X = data.control_units - y = data.treated_units + Y_control = data.control_unit_outputs + Y_treated = data.treated_unit_outputs idx = data.full_index - treatment_date = data.treatment_date if ax is None: _, ax = plt.subplots(figsize=(6, 3), tight_layout=True) - ax.plot(idx, X, color=cols[0], label="Control", alpha=0.5) - ax.plot(idx, y, color=cols[1], label="Treated") - ax.axvline(x=treatment_date, color=cols[2], label="Intervention", linestyle="--") + + ax.plot(idx, Y_control, color=cols[0], label="Control", alpha=0.5) + + for i, unit_idx in enumerate(data.treated_unit_indices): + unit_color = ( + cols[1] + if len(data.treated_unit_indices) == 1 + else cols[1 + i % (len(cols) - 2)] + ) + unit_label = ( + "Treated" if len(data.treated_unit_indices) == 1 else f"Treated {unit_idx}" + ) + ax.plot(idx, Y_treated[:, i], color=unit_color, label=unit_label) + + treatment_date = data.treatment_date(unit_idx) + if treatment_date is not None: + line_color = cols[2] if len(data.treated_unit_indices) == 1 else unit_color + line_label = ( + "Intervention" + if len(data.treated_unit_indices) == 1 + else f"Intervention {unit_idx}" + ) + ax.axvline( + x=treatment_date, + color=line_color, + label=line_label, + linestyle="--", + alpha=0.7, + ) + ax.xaxis.set_major_formatter( mdates.ConciseDateFormatter(ax.xaxis.get_major_locator()) ) diff --git a/src/causal_validation/simulate.py b/src/causal_validation/simulate.py index b1f85f6..db76bfe 100644 --- a/src/causal_validation/simulate.py +++ b/src/causal_validation/simulate.py @@ -4,72 +4,102 @@ from causal_validation.config import Config from causal_validation.data import Dataset -from causal_validation.weights import ( - AbstractWeights, - UniformWeights, -) def simulate(config: Config, key: tp.Optional[np.random.RandomState] = None) -> Dataset: if key is None: key = config.rng - weights = UniformWeights() - base_data = _simulate_base_obs(config, weights, key) + if config.treated_simulation_type == "independent": + base_data = _simulate_with_independent_treated_units(config, key) + elif config.treated_simulation_type == "control-weighted": + base_data = _simulate_with_control_weighted_treated_units(config, key) + else: + raise ValueError( + f"Unknown treated simulation type: {config.treated_simulation_type}" + ) return base_data -def _simulate_base_obs( - config: Config, weights: AbstractWeights, key: np.random.RandomState +def _simulate_with_independent_treated_units( + config: Config, key: np.random.RandomState ) -> Dataset: - n_timepoints = ( - config.n_pre_intervention_timepoints + config.n_post_intervention_timepoints - ) - n_units = config.n_control_units - obs = key.normal( + n_timepoints, n_units = config.treatment_assignments.shape + + Y = key.normal( loc=config.global_mean, scale=config.global_scale, size=(n_timepoints, n_units) ) if config.n_covariates is not None: - Xtr_ = obs[: config.n_pre_intervention_timepoints, :] - Xte_ = obs[config.n_pre_intervention_timepoints :, :] - - covariates = key.normal( + X = key.normal( loc=config.covariate_means, scale=config.covariate_stds, size=(n_timepoints, n_units, config.n_covariates), ) - Ptr = covariates[: config.n_pre_intervention_timepoints, :, :] - Pte = covariates[config.n_pre_intervention_timepoints :, :, :] + Y = Y + X @ config.covariate_coeffs + else: + X = None - Xtr = Xtr_ + Ptr @ config.covariate_coeffs - Xte = Xte_ + Pte @ config.covariate_coeffs + data = Dataset( + Y, + config.treatment_assignments, + X, + _start_date=config.start_date, + ) - ytr = weights.weight_contr(Xtr) - yte = weights.weight_contr(Xte) + return data - Rtr = weights.weight_contr(Ptr) - Rte = weights.weight_contr(Pte) - data = Dataset( - Xtr, - Xte, - ytr, - yte, - _start_date=config.start_date, - Ptr=Ptr, - Pte=Pte, - Rtr=Rtr, - Rte=Rte, - ) +def _simulate_with_control_weighted_treated_units( + config: Config, key: np.random.RandomState +) -> Dataset: + n_timepoints, n_units = config.treatment_assignments.shape + + Y = np.zeros((n_timepoints, n_units)) + if config.n_covariates is not None: + X = np.zeros((n_timepoints, n_units, config.n_covariates)) else: - Xtr = obs[: config.n_pre_intervention_timepoints, :] - Xte = obs[config.n_pre_intervention_timepoints :, :] + X = None + data_void = Dataset( + Y, + config.treatment_assignments, + X, + _start_date=config.start_date, + ) - ytr = weights.weight_contr(Xtr) - yte = weights.weight_contr(Xte) + n_control_units = data_void.n_control_units + control_unit_indices = data_void.control_unit_indices + treated_unit_indices = data_void.treated_unit_indices + + Y_control = key.normal( + loc=config.global_mean, + scale=config.global_scale, + size=(n_timepoints, n_control_units), + ) - data = Dataset(Xtr, Xte, ytr, yte, _start_date=config.start_date) + if config.n_covariates is not None: + X_control = key.normal( + loc=config.covariate_means, + scale=config.covariate_stds, + size=(n_timepoints, n_control_units, config.n_covariates), + ) + Y_control = Y_control + X_control @ config.covariate_coeffs + X[:, control_unit_indices, :] = X_control + for i, weights in enumerate(config.weights): + X_treated_i = np.einsum("ijk,j->ik", X_control, weights) + X[:, treated_unit_indices[i], :] = X_treated_i + + Y[:, control_unit_indices] = Y_control + for i, weights in enumerate(config.weights): + Y_treated_i = Y_control @ weights + Y[:, treated_unit_indices[i]] = Y_treated_i + + data = Dataset( + Y, + config.treatment_assignments, + X, + _start_date=config.start_date, + ) return data diff --git a/src/causal_validation/testing.py b/src/causal_validation/testing.py index 56a1561..b7dca3e 100644 --- a/src/causal_validation/testing.py +++ b/src/causal_validation/testing.py @@ -1,32 +1,47 @@ from dataclasses import dataclass import typing as tp +from jaxtyping import Float +import numpy as np + from causal_validation.config import Config from causal_validation.data import Dataset from causal_validation.simulate import simulate +from causal_validation.types import ( + Number, + TreatedSimulationTypes, +) -@dataclass(frozen=True, kw_only=True) +@dataclass(kw_only=True) class TestConstants: - N_CONTROL: int = 10 - N_PRE_TREATMENT: int = 500 - N_POST_TREATMENT: int = 500 - N_COVARIATES: tp.Optional[int] = None - DATA_SLOTS: tp.Tuple[str, str, str, str] = ("Xtr", "Xte", "ytr", "yte") + TREATMENT_ASSIGNMENTS: tp.Optional[Float[np.ndarray, "T N"]] = None + TREATED_SIMULATION_TYPE: "TreatedSimulationTypes" = "control-weighted" + DIRICHLET_CONCENTRATION: Number = 1.0 + N_COVARIATES: tp.Optional[int] = 2 + DATA_SLOTS: tp.Tuple[str, str, str] = ("Y", "D", "X") ZERO_DIVISION_ERROR: float = 1e-6 GLOBAL_SCALE: float = 1.0 __test__: bool = False + def __post_init__(self): + if self.TREATMENT_ASSIGNMENTS is None: + D = np.zeros((10, 5)) + D[6:, 2] = 1 + D[8:, 3] = 1 + self.TREATMENT_ASSIGNMENTS = D + def simulate_data( global_mean: float, seed: int, constants: tp.Optional[TestConstants] = None ) -> Dataset: if not constants: constants = TestConstants() + cfg = Config( - n_control_units=constants.N_CONTROL, - n_pre_intervention_timepoints=constants.N_PRE_TREATMENT, - n_post_intervention_timepoints=constants.N_POST_TREATMENT, + treatment_assignments=constants.TREATMENT_ASSIGNMENTS, + treated_simulation_type=constants.TREATED_SIMULATION_TYPE, + dirichlet_concentration=constants.DIRICHLET_CONCENTRATION, n_covariates=constants.N_COVARIATES, global_mean=global_mean, global_scale=constants.GLOBAL_SCALE, diff --git a/src/causal_validation/transforms/base.py b/src/causal_validation/transforms/base.py index 0c98762..984ba56 100644 --- a/src/causal_validation/transforms/base.py +++ b/src/causal_validation/transforms/base.py @@ -26,20 +26,15 @@ def __post_init__(self): setattr(self, slot, coerced_param) def __call__(self, data: Dataset) -> Dataset: - vals = self.get_values(data) - pre_intervention_trend = vals[: data.n_pre_intervention] - post_intervention_trend = vals[data.n_pre_intervention :] - return self.apply_values( - pre_intervention_trend, post_intervention_trend, data=data - ) - - def get_values(self, data: Dataset) -> Float[np.ndarray, "N D"]: + transform_vals = self.get_values(data) + return self.apply_values(transform_vals, data=data) + + def get_values(self, data: Dataset) -> Float[np.ndarray, "T N"]: raise NotImplementedError def apply_values( self, - pre_intervention_vals: np.ndarray, - post_intervention_vals: np.ndarray, + transform_vals: np.ndarray, data: Dataset, ) -> Dataset: raise NotImplementedError @@ -64,84 +59,33 @@ def _get_parameter_values(self, data: Dataset) -> tp.Dict[str, np.ndarray]: class AdditiveOutputTransform(AbstractTransform): def apply_values( self, - pre_intervention_vals: np.ndarray, - post_intervention_vals: np.ndarray, + transform_vals: np.ndarray, data: Dataset, ) -> Dataset: - Xtr, ytr = [deepcopy(i) for i in data.pre_intervention_obs] - Xte, yte = [deepcopy(i) for i in data.post_intervention_obs] - Xtr = Xtr + pre_intervention_vals[:, 1:] - ytr = ytr + pre_intervention_vals[:, :1] - Xte = Xte + post_intervention_vals[:, 1:] - yte = yte + post_intervention_vals[:, :1] - return Dataset( - Xtr, - Xte, - ytr, - yte, - data._start_date, - data.Ptr, - data.Pte, - data.Rtr, - data.Rte, - data.counterfactual, - data.synthetic, - ) + Y = deepcopy(data.Y) + Y = Y + transform_vals + return Dataset(Y, data.D, data.X, data._start_date, data._name) @dataclass(kw_only=True) class MultiplicativeOutputTransform(AbstractTransform): def apply_values( self, - pre_intervention_vals: np.ndarray, - post_intervention_vals: np.ndarray, + transform_vals: np.ndarray, data: Dataset, ) -> Dataset: - Xtr, ytr = [deepcopy(i) for i in data.pre_intervention_obs] - Xte, yte = [deepcopy(i) for i in data.post_intervention_obs] - Xtr = Xtr * pre_intervention_vals - ytr = ytr * pre_intervention_vals - Xte = Xte * post_intervention_vals - yte = yte * post_intervention_vals - return Dataset( - Xtr, - Xte, - ytr, - yte, - data._start_date, - data.Ptr, - data.Pte, - data.Rtr, - data.Rte, - data.counterfactual, - data.synthetic, - ) + Y = deepcopy(data.Y) + Y = Y * transform_vals + return Dataset(Y, data.D, data.X, data._start_date, data._name) @dataclass(kw_only=True) class AdditiveCovariateTransform(AbstractTransform): def apply_values( self, - pre_intervention_vals: np.ndarray, - post_intervention_vals: np.ndarray, + transform_vals: np.ndarray, data: Dataset, ) -> Dataset: - Ptr, Rtr = [deepcopy(i) for i in data.pre_intervention_covariates] - Pte, Rte = [deepcopy(i) for i in data.post_intervention_covariates] - Ptr = Ptr + pre_intervention_vals[:, 1:, :] - Rtr = Rtr + pre_intervention_vals[:, :1, :] - Pte = Pte + post_intervention_vals[:, 1:, :] - Rte = Rte + post_intervention_vals[:, :1, :] - return Dataset( - data.Xtr, - data.Xte, - data.ytr, - data.yte, - data._start_date, - Ptr, - Pte, - Rtr, - Rte, - data.counterfactual, - data.synthetic, - ) + X = deepcopy(data.X) + X = X + transform_vals + return Dataset(data.Y, data.D, X, data._start_date, data._name) diff --git a/src/causal_validation/transforms/noise.py b/src/causal_validation/transforms/noise.py index 70c436c..c9cb288 100644 --- a/src/causal_validation/transforms/noise.py +++ b/src/causal_validation/transforms/noise.py @@ -15,29 +15,29 @@ ) from causal_validation.transforms.parameter import ( CovariateNoiseParameter, - TimeVaryingParameter, + TimeAndUnitVaryingParameter, ) @dataclass(kw_only=True) class Noise(AdditiveOutputTransform): """ - Transform the treatment by adding TimeVaryingParameter noise terms sampled from - a specified sampling distribution. By default, the sampling distribution is - Normal with 0 loc and 0.1 scale. + Transform the treated units by adding TimeAndUnitVaryingParameter noise terms + sampled from a specified sampling distribution. By default, the sampling + distribution is Normal with 0 loc and 0.1 scale. """ - noise_dist: TimeVaryingParameter = field( - default_factory=lambda: TimeVaryingParameter(sampling_dist=norm(0, 0.1)) + noise_dist: TimeAndUnitVaryingParameter = field( + default_factory=lambda: TimeAndUnitVaryingParameter(sampling_dist=norm(0, 0.1)) ) _slots: Tuple[str] = ("noise_dist",) - def get_values(self, data: Dataset) -> Float[np.ndarray, "N D"]: - noise = np.zeros((data.n_timepoints, data.n_units + 1)) + def get_values(self, data: Dataset) -> Float[np.ndarray, "T N"]: + noise = np.zeros((data.n_timepoints, data.n_units)) noise_treatment = self.noise_dist.get_value( - n_units=1, n_timepoints=data.n_timepoints - ).reshape(-1) - noise[:, 0] = noise_treatment + n_units=data.n_treated_units, n_timepoints=data.n_timepoints + ) + noise[:, data.treated_unit_indices] = noise_treatment return noise @@ -56,7 +56,7 @@ class CovariateNoise(AdditiveCovariateTransform): def get_values(self, data: Dataset) -> Float[np.ndarray, "N D"]: noise = self.noise_dist.get_value( - n_units=data.n_units + 1, + n_units=data.n_units, n_timepoints=data.n_timepoints, n_covariates=data.n_covariates, ) diff --git a/src/causal_validation/transforms/parameter.py b/src/causal_validation/transforms/parameter.py index e0fac1e..051c691 100644 --- a/src/causal_validation/transforms/parameter.py +++ b/src/causal_validation/transforms/parameter.py @@ -18,7 +18,7 @@ class FixedParameter(Parameter): value: float def get_value( - self, n_units: int, n_timepoints: int + self, n_units: int, n_timepoints: int, **kwargs ) -> Float[np.ndarray, "{n_timepoints} {n_units}"]: return np.ones(shape=(n_timepoints, n_units)) * self.value @@ -32,7 +32,7 @@ class RandomParameter(Parameter): @dataclass class UnitVaryingParameter(RandomParameter): def get_value( - self, n_units: int, n_timepoints: int + self, n_units: int, n_timepoints: int, **kwargs ) -> Float[np.ndarray, "{n_timepoints} {n_units}"]: unit_param = self.sampling_dist.rvs( size=(n_units,), random_state=self.random_state @@ -43,7 +43,7 @@ def get_value( @dataclass class TimeVaryingParameter(RandomParameter): def get_value( - self, n_units: int, n_timepoints: int + self, n_units: int, n_timepoints: int, **kwargs ) -> Float[np.ndarray, "{n_timepoints} {n_units}"]: time_param = self.sampling_dist.rvs( size=(n_timepoints, 1), random_state=self.random_state @@ -51,6 +51,17 @@ def get_value( return np.tile(time_param, reps=n_units) +@dataclass +class TimeAndUnitVaryingParameter(RandomParameter): + def get_value( + self, n_units: int, n_timepoints: int, **kwargs + ) -> Float[np.ndarray, "{n_timepoints} {n_units}"]: + vary_param = self.sampling_dist.rvs( + size=(n_timepoints, n_units), random_state=self.random_state + ) + return vary_param + + @dataclass class CovariateNoiseParameter(RandomParameter): def get_value( diff --git a/src/causal_validation/transforms/periodic.py b/src/causal_validation/transforms/periodic.py index 9283cb0..fff2386 100644 --- a/src/causal_validation/transforms/periodic.py +++ b/src/causal_validation/transforms/periodic.py @@ -29,7 +29,7 @@ def get_values(self, data: Dataset) -> Float[np.ndarray, "N D"]: offset = self.offset.get_value(**data._slots) x_vals = np.tile( np.linspace(0, 2 * np.pi, num=data.n_timepoints).reshape(-1, 1), - reps=data.n_units + 1, + reps=data.n_units, ) sine_curve = amplitude * np.sin((x_vals * np.abs(frequency)) + shift) + offset return sine_curve diff --git a/src/causal_validation/transforms/trends.py b/src/causal_validation/transforms/trends.py index 6143f83..4f5ce7c 100644 --- a/src/causal_validation/transforms/trends.py +++ b/src/causal_validation/transforms/trends.py @@ -20,7 +20,7 @@ def get_values(self, data: Dataset) -> Float[np.ndarray, "N D"]: coefficient = self._resolve_parameter(data, self.coefficient) intercept = self._resolve_parameter(data, self.intercept) trend = np.tile( - np.arange(data.n_timepoints)[:, None] ** self.degree, data.n_units + 1 + np.arange(data.n_timepoints)[:, None] ** self.degree, data.n_units ) scaled_trend = intercept + coefficient * trend return scaled_trend diff --git a/src/causal_validation/types.py b/src/causal_validation/types.py index 5ea3505..000e53b 100644 --- a/src/causal_validation/types.py +++ b/src/causal_validation/types.py @@ -7,8 +7,8 @@ ) EffectTypes = tp.Literal["fixed", "random"] -WeightTypes = tp.Literal["uniform", "non-uniform"] InterventionTypes = tp.Literal["pre-intervention", "post-intervention", "both"] +TreatedSimulationTypes = tp.Literal["independent", "control-weighted"] RandomVariable = tp.Union[rv_continuous, rv_discrete] Number = tp.Union[float, int] NPArray = np.ndarray diff --git a/src/causal_validation/validation/placebo.py b/src/causal_validation/validation/placebo.py index b8143fb..b6adc13 100644 --- a/src/causal_validation/validation/placebo.py +++ b/src/causal_validation/validation/placebo.py @@ -1,3 +1,4 @@ +from copy import deepcopy from dataclasses import dataclass import typing as tp @@ -17,10 +18,8 @@ Dataset, DatasetContainer, ) -from causal_validation.models import ( - AZCausalWrapper, - Result, -) +from causal_validation.estimator import Result +from causal_validation.estimator.utils import AZCausalWrapper from causal_validation.validation.testing import TestResultFrame PlaceboSchema = DataFrameSchema( @@ -110,10 +109,29 @@ def execute(self, verbose: bool = True) -> PlaceboTestResult: for model in self.models: progress.update(model_task, advance=1) model_result = [] - for i in range(dataset.n_units): + for i in dataset.control_unit_indices: progress.update(unit_task, advance=1) - placebo_data = dataset.to_placebo_data(i) + placebo_data = self.to_placebo_data(dataset, i) result = model(placebo_data) model_result.append(result) results[(model._model_name, data_name)] = model_result return PlaceboTestResult(effects=results) + + @staticmethod + def to_placebo_data(dataset: Dataset, to_treat_idx: int) -> Dataset: + if not dataset.n_treated_units == 1: + raise ValueError("Placebo test is supported only with one treated unit.") + + Y = deepcopy(dataset.Y) + D = deepcopy(dataset.D) + X = deepcopy(dataset.X) + + actual_treated_idx = dataset.treated_unit_indices[0] + d_treated = D[:, actual_treated_idx] + D[:, to_treat_idx] = d_treated + + Y_ = np.delete(Y, [actual_treated_idx], axis=1) + D_ = np.delete(D, [actual_treated_idx], axis=1) + X_ = np.delete(X, [actual_treated_idx], axis=1) if X is not None else None + + return Dataset(Y_, D_, X_, dataset._start_date, dataset._name) diff --git a/src/causal_validation/validation/rmspe.py b/src/causal_validation/validation/rmspe.py index b606722..1fe58cf 100644 --- a/src/causal_validation/validation/rmspe.py +++ b/src/causal_validation/validation/rmspe.py @@ -73,7 +73,7 @@ def execute(self, verbose: bool = True) -> RMSPETestResult: treatment_results, pseudo_treatment_results = {}, {} datasets = self.dataset_dict n_datasets = len(datasets) - n_control = sum([d.n_units for d in datasets.values()]) + n_units = sum([d.n_units for d in datasets.values()]) rmspe = RMSPETestStatistic() with Progress(disable=not verbose) as progress: model_task = progress.add_task( @@ -84,7 +84,7 @@ def execute(self, verbose: bool = True) -> RMSPETestResult: ) unit_task = progress.add_task( "[green]Treatment and Control Units", - total=n_control + 1, + total=n_units, visible=verbose, ) for data_name, dataset in datasets.items(): @@ -92,7 +92,8 @@ def execute(self, verbose: bool = True) -> RMSPETestResult: for model in self.models: progress.update(unit_task, advance=1) treatment_result = model(dataset) - treatment_idx = dataset.ytr.shape[0] + treatment_unit_idx = dataset.treated_unit_indices[0] + treatment_idx = dataset.n_pre_intervention[treatment_unit_idx] treatment_test_stat = rmspe( dataset, treatment_result.counterfactual, @@ -101,9 +102,9 @@ def execute(self, verbose: bool = True) -> RMSPETestResult: ) progress.update(model_task, advance=1) placebo_test_stats = [] - for i in range(dataset.n_units): + for i in dataset.control_unit_indices: progress.update(unit_task, advance=1) - placebo_data = dataset.to_placebo_data(i) + placebo_data = PlaceboTest.to_placebo_data(dataset, i) result = model(placebo_data) placebo_test_stats.append( rmspe( @@ -116,7 +117,7 @@ def execute(self, verbose: bool = True) -> RMSPETestResult: pval_idx = 1 for p_stat in placebo_test_stats: pval_idx += 1 if treatment_test_stat < p_stat else 0 - pval = pval_idx / (n_control + 1) + pval = pval_idx / (n_units) treatment_results[(model._model_name, data_name)] = TestResult( p_value=pval, test_statistic=treatment_test_stat ) diff --git a/src/causal_validation/validation/testing.py b/src/causal_validation/validation/testing.py index e0144a2..2c86c26 100644 --- a/src/causal_validation/validation/testing.py +++ b/src/causal_validation/validation/testing.py @@ -78,8 +78,12 @@ def _compute( synthetic: Float[np.ndarray, "N 1"], treatment_index: int, ) -> Float: - _, pre_observed = dataset.pre_intervention_obs - _, post_observed = dataset.post_intervention_obs + if dataset.n_treated_units != 1: + raise ValueError( + "Error: only one treated unit is allowed for RMSPE test statistic!" + ) + pre_observed = dataset.treated_unit_outputs[:treatment_index, :] + post_observed = dataset.treated_unit_outputs[treatment_index:, :] _, post_counterfactual = RMSPETestStatistic._split_array( counterfactual, treatment_index ) diff --git a/src/causal_validation/weights.py b/src/causal_validation/weights.py deleted file mode 100644 index 8d6c6f2..0000000 --- a/src/causal_validation/weights.py +++ /dev/null @@ -1,70 +0,0 @@ -from __future__ import annotations - -from dataclasses import dataclass -import typing as tp - -from jaxtyping import Float -import numpy as np - -from causal_validation.base import BaseObject - -if tp.TYPE_CHECKING: - from causal_validation.config import WeightConfig - -# Constants for array dimensions -_NDIM_2D = 2 -_NDIM_3D = 3 - - -@dataclass -class AbstractWeights(BaseObject): - name: str = "Abstract Weights" - - def _get_weights( - self, obs: Float[np.ndarray, "N D"] | Float[np.ndarray, "N D K"] - ) -> Float[np.ndarray, "D 1"]: - raise NotImplementedError("Please implement `_get_weights` in all subclasses.") - - def get_weights( - self, obs: Float[np.ndarray, "N D"] | Float[np.ndarray, "N D K"] - ) -> Float[np.ndarray, "D 1"]: - weights = self._get_weights(obs) - - np.testing.assert_almost_equal( - weights.sum(), 1.0, decimal=1.0, err_msg="Weights must sum to 1." - ) - assert min(weights >= 0), "Weights should be non-negative" - return weights - - def __call__( - self, obs: Float[np.ndarray, "N D"] | Float[np.ndarray, "N D K"] - ) -> Float[np.ndarray, "N 1"] | Float[np.ndarray, "N 1 K"]: - return self.weight_contr(obs) - - def weight_contr( - self, obs: Float[np.ndarray, "N D"] | Float[np.ndarray, "N D K"] - ) -> Float[np.ndarray, "N 1"] | Float[np.ndarray, "N 1 K"]: - weights = self.get_weights(obs) - - if obs.ndim == _NDIM_2D: - weighted_obs = obs @ weights - elif obs.ndim == _NDIM_3D: - weighted_obs = np.einsum("n d k, d i -> n i k", obs, weights) - - return weighted_obs - - -@dataclass -class UniformWeights(AbstractWeights): - name: str = "Uniform Weights" - - def _get_weights( - self, obs: Float[np.ndarray, "N D"] | Float[np.ndarray, "N D K"] - ) -> Float[np.ndarray, "D 1"]: - n_units = obs.shape[1] - return np.repeat(1.0 / n_units, repeats=n_units).reshape(-1, 1) - - -def resolve_weights(config: "WeightConfig") -> AbstractWeights: - if config.weight_type == "uniform": - return UniformWeights() diff --git a/tests/test_causal_validation/test_config.py b/tests/test_causal_validation/test_config.py index 77175f9..5428fde 100644 --- a/tests/test_causal_validation/test_config.py +++ b/tests/test_causal_validation/test_config.py @@ -8,59 +8,59 @@ @given( - n_units=st.integers(min_value=1, max_value=10), - n_pre=st.integers(min_value=1, max_value=20), - n_post=st.integers(min_value=1, max_value=20), + n_units=st.integers(min_value=2, max_value=10), + n_timepoints=st.integers(min_value=5, max_value=20), ) -def test_config_basic_initialization(n_units, n_pre, n_post): - cfg = Config( - n_control_units=n_units, - n_pre_intervention_timepoints=n_pre, - n_post_intervention_timepoints=n_post, - ) - assert cfg.n_control_units == n_units - assert cfg.n_pre_intervention_timepoints == n_pre - assert cfg.n_post_intervention_timepoints == n_post +def test_config_basic_initialization(n_units, n_timepoints): + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -1] = 1 + + cfg = Config(treatment_assignments=treatment_assignments) + assert cfg.treatment_assignments.shape == (n_timepoints, n_units) assert cfg.n_covariates is None assert cfg.covariate_means is None assert cfg.covariate_stds is None assert cfg.covariate_coeffs is None + assert cfg.treated_simulation_type == "control-weighted" + assert cfg.dirichlet_concentration == 1.0 @given( - n_units=st.integers(min_value=1, max_value=5), - n_pre=st.integers(min_value=1, max_value=10), - n_post=st.integers(min_value=1, max_value=10), + n_units=st.integers(min_value=2, max_value=5), + n_timepoints=st.integers(min_value=5, max_value=10), n_covariates=st.integers(min_value=1, max_value=3), seed=st.integers(min_value=1, max_value=1000), ) def test_config_with_covariates_auto_generation( - n_units, n_pre, n_post, n_covariates, seed + n_units, n_timepoints, n_covariates, seed ): + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -1] = 1 + cfg = Config( - n_control_units=n_units, - n_pre_intervention_timepoints=n_pre, - n_post_intervention_timepoints=n_post, + treatment_assignments=treatment_assignments, n_covariates=n_covariates, seed=seed, ) assert cfg.n_covariates == n_covariates - assert cfg.covariate_means.shape == (n_units, n_covariates) - assert cfg.covariate_stds.shape == (n_units, n_covariates) + assert cfg.covariate_means.shape == (n_covariates,) + assert cfg.covariate_stds.shape == (n_covariates,) + assert np.all(cfg.covariate_stds > 0) assert cfg.covariate_coeffs.shape == (n_covariates,) assert np.all(cfg.covariate_stds >= 0) @given( - n_units=st.integers(min_value=1, max_value=3), + n_units=st.integers(min_value=2, max_value=3), n_covariates=st.integers(min_value=1, max_value=3), ) def test_config_with_explicit_covariate_means(n_units, n_covariates): - means = np.random.random((n_units, n_covariates)) + treatment_assignments = np.zeros((10, n_units)) + treatment_assignments[5:, -1] = 1 + means = np.random.random(n_covariates) + cfg = Config( - n_control_units=n_units, - n_pre_intervention_timepoints=10, - n_post_intervention_timepoints=5, + treatment_assignments=treatment_assignments, n_covariates=n_covariates, covariate_means=means, ) @@ -68,16 +68,51 @@ def test_config_with_explicit_covariate_means(n_units, n_covariates): @given( - n_units=st.integers(min_value=1, max_value=3), + n_units=st.integers(min_value=2, max_value=3), n_covariates=st.integers(min_value=1, max_value=3), ) def test_config_with_explicit_covariate_stds(n_units, n_covariates): - stds = np.random.random((n_units, n_covariates)) + 0.1 + treatment_assignments = np.zeros((10, n_units)) + treatment_assignments[5:, -1] = 1 + stds = np.random.random(n_covariates) + 0.1 + cfg = Config( - n_control_units=n_units, - n_pre_intervention_timepoints=10, - n_post_intervention_timepoints=5, + treatment_assignments=treatment_assignments, n_covariates=n_covariates, covariate_stds=stds, ) np.testing.assert_array_equal(cfg.covariate_stds, stds) + + +@given( + n_units=st.integers(min_value=4, max_value=50), + n_timepoints=st.integers(min_value=2, max_value=1000), + n_treated=st.integers(min_value=1, max_value=3), +) +def test_config_control_weighted_weights_generation(n_units, n_timepoints, n_treated): + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -n_treated:] = 1 + + cfg = Config( + treatment_assignments=treatment_assignments, + treated_simulation_type="control-weighted", + ) + assert len(cfg.weights) == n_treated + assert all(len(w) == n_units - n_treated for w in cfg.weights) + assert all(np.allclose(np.sum(w), 1.0) for w in cfg.weights) + + +@given( + n_units=st.integers(min_value=3, max_value=50000), + n_timepoints=st.integers(min_value=2, max_value=100), +) +def test_config_independent_simulation_type(n_units, n_timepoints): + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, n_units // 2 :] = 1 + + cfg = Config( + treatment_assignments=treatment_assignments, + treated_simulation_type="independent", + ) + assert cfg.treated_simulation_type == "independent" + assert cfg.weights is None diff --git a/tests/test_causal_validation/test_data.py b/tests/test_causal_validation/test_data.py index 51796fc..3e999ec 100644 --- a/tests/test_causal_validation/test_data.py +++ b/tests/test_causal_validation/test_data.py @@ -1,9 +1,6 @@ -from copy import deepcopy -import datetime as dt import string import typing as tp -from azcausal.estimators.panel.did import DID from hypothesis import ( given, settings, @@ -11,305 +8,113 @@ ) import numpy as np import pandas as pd -from pandas.core.indexes.datetimes import DatetimeIndex -import pytest from causal_validation.data import ( Dataset, DatasetContainer, - reassign_treatment, ) -from causal_validation.testing import ( - TestConstants, - simulate_data, -) -from causal_validation.types import InterventionTypes - -MIN_STRING_LENGTH = 1 -MAX_STRING_LENGTH = 20 -DEFAULT_SEED = 123 -NUM_NON_CONTROL_COLS = 2 -NUM_TREATED = 1 -LARGE_N_POST = 5000 -LARGE_N_PRE = 5000 @given( + T=st.integers(min_value=10, max_value=5000), + N=st.integers(min_value=5, max_value=5000), + K=st.integers(min_value=1, max_value=50), seed=st.integers(min_value=1, max_value=30), - global_mean=st.floats( - min_value=-5.0, max_value=5.0, allow_infinity=False, allow_nan=False - ), -) -def test_global_mean(seed: int, global_mean: float): - constants = TestConstants( - N_POST_TREATMENT=LARGE_N_POST, N_PRE_TREATMENT=LARGE_N_PRE, GLOBAL_SCALE=0.01 - ) - data = simulate_data(global_mean, seed, constants=constants) - assert isinstance(data, Dataset) - - control_units = data.control_units - treated_units = data.treated_units - - np.testing.assert_almost_equal( - np.mean(control_units, axis=0), global_mean, decimal=0 - ) - np.testing.assert_almost_equal( - np.mean(treated_units, axis=0), global_mean, decimal=0 - ) - - -@given( - n_control=st.integers(min_value=1, max_value=50), - n_pre_treatment=st.integers(min_value=1, max_value=50), - n_post_treatment=st.integers(min_value=1, max_value=50), -) -def test_array_shapes(n_control: int, n_pre_treatment: int, n_post_treatment: int): - constants = TestConstants( - N_POST_TREATMENT=n_post_treatment, - N_PRE_TREATMENT=n_pre_treatment, - N_CONTROL=n_control, - ) - data = simulate_data(0.0, DEFAULT_SEED, constants=constants) - - # Test high-level property values - assert data.n_units == n_control - assert data.n_timepoints == n_pre_treatment + n_post_treatment - assert data.n_pre_intervention == n_pre_treatment - assert data.n_post_intervention == n_post_treatment - - # Test field shapes - assert data.Xtr.shape == (n_pre_treatment, n_control) - assert data.Xte.shape == (n_post_treatment, n_control) - assert data.ytr.shape == (n_pre_treatment, 1) - assert data.yte.shape == (n_post_treatment, 1) - - # Test property shapes - Xtr, ytr = data.pre_intervention_obs - Xte, yte = data.post_intervention_obs - assert Xtr.shape == (n_pre_treatment, n_control) - assert ytr.shape == (n_pre_treatment, 1) - assert Xte.shape == (n_post_treatment, n_control) - assert yte.shape == (n_post_treatment, 1) - - -@given( - n_pre_treatment=st.integers(min_value=1, max_value=50), - n_post_treatment=st.integers(min_value=1, max_value=50), -) -def test_indicator(n_pre_treatment: int, n_post_treatment: int): - constants = TestConstants( - N_POST_TREATMENT=n_post_treatment, - N_PRE_TREATMENT=n_pre_treatment, - ) - data = simulate_data(0.0, DEFAULT_SEED, constants=constants) - assert data._get_indicator().sum() == n_post_treatment - - -@given( - n_control=st.integers(min_value=1, max_value=50), - n_pre_treatment=st.integers(min_value=1, max_value=50), - n_post_treatment=st.integers(min_value=1, max_value=50), ) -def test_to_df_no_cov(n_control: int, n_pre_treatment: int, n_post_treatment: int): - constants = TestConstants( - N_POST_TREATMENT=n_post_treatment, - N_PRE_TREATMENT=n_pre_treatment, - N_CONTROL=n_control, - ) - data = simulate_data(0.0, DEFAULT_SEED, constants=constants) - - df, _ = data.to_df() - assert isinstance(df, pd.DataFrame) - assert df.shape == ( - n_pre_treatment + n_post_treatment, - n_control + NUM_NON_CONTROL_COLS, - ) +@settings(max_examples=10) +def test_dataset(T: int, N: int, K: int, seed: int): + D = np.zeros((T, N)) + D[6:, 2] = 1 + D[8:, 3] = 1 - colnames = data._get_columns() - assert isinstance(colnames, list) - assert colnames[0] == "T" - assert len(colnames) == n_control + 1 + rng = np.random.RandomState(seed) + X = rng.randn(T, N, K) + Y = rng.randn(T, N) - index = data.full_index - assert isinstance(index, DatetimeIndex) - assert index[0].strftime("%Y-%m-%d") == data._start_date.strftime("%Y-%m-%d") + data1 = Dataset(Y, D, X) + data2 = Dataset(Y, D, X) + data3 = Dataset(Y, D) + assert data1 == data2 + assert data1 != data3 -@given( - n_control=st.integers(min_value=1, max_value=50), - n_pre_treatment=st.integers(min_value=1, max_value=50), - n_post_treatment=st.integers(min_value=1, max_value=50), - n_covariates=st.integers(min_value=1, max_value=50), -) -def test_to_df_with_cov( - n_control: int, n_pre_treatment: int, n_post_treatment: int, n_covariates: int -): - constants = TestConstants( - N_POST_TREATMENT=n_post_treatment, - N_PRE_TREATMENT=n_pre_treatment, - N_CONTROL=n_control, - N_COVARIATES=n_covariates, - ) - data = simulate_data(0.0, DEFAULT_SEED, constants=constants) + assert data1.n_units == N + assert data1.n_timepoints == T + assert data1.n_covariates == K - df_outs, df_covs = data.to_df() - assert isinstance(df_outs, pd.DataFrame) - assert df_outs.shape == ( - n_pre_treatment + n_post_treatment, - n_control + NUM_NON_CONTROL_COLS, - ) + assert data1.n_post_intervention[0] == 0 + assert data1.n_post_intervention[-1] == 0 + assert data1.n_post_intervention[2] == T - 6 + assert data1.n_post_intervention[3] == T - 8 - assert isinstance(df_covs, pd.DataFrame) - assert df_covs.shape == ( - n_pre_treatment + n_post_treatment, - n_covariates * (n_control + NUM_TREATED) + NUM_NON_CONTROL_COLS - NUM_TREATED, + assert ( + data1.n_pre_intervention + == (T * np.ones(N) - data1.n_post_intervention).tolist() ) - colnames = data._get_columns() - assert isinstance(colnames, list) - assert colnames[0] == "T" - assert len(colnames) == n_control + 1 - - index = data.full_index - assert isinstance(index, DatetimeIndex) - assert index[0].strftime("%Y-%m-%d") == data._start_date.strftime("%Y-%m-%d") + N_TREATED = 2 + assert data1.n_treated_units == N_TREATED + assert data1.n_control_units == N - N_TREATED + assert data1.treated_unit_indices == [2, 3] + assert data1.control_unit_indices == [0, 1] + list(range(4, N)) - -@given( - n_control=st.integers(min_value=2, max_value=50), - n_pre_treatment=st.integers(min_value=10, max_value=50), - n_post_treatment=st.integers(min_value=10, max_value=50), - global_mean=st.floats( - min_value=-5.0, max_value=5.0, allow_infinity=False, allow_nan=False - ), -) -@settings(max_examples=5) -def test_to_azcausal( - n_control: int, n_pre_treatment: int, n_post_treatment: int, global_mean: float -): - constants = TestConstants( - N_POST_TREATMENT=n_post_treatment, - N_PRE_TREATMENT=n_pre_treatment, - N_CONTROL=n_control, + assert np.all(data1.treated_unit_outputs == Y[:, 2:4]) + assert np.all( + data1.control_unit_outputs == np.concatenate([Y[:, :2], Y[:, 4:]], axis=1) ) - data = simulate_data(global_mean, DEFAULT_SEED, constants=constants) - - panel = data.to_azcausal() - model = DID() - result = model.fit(panel) - assert not np.isnan(result.effect.value) - -@given( - n_post_treatment=st.integers(min_value=10, max_value=50), - n_pre_treatment=st.integers(min_value=10, max_value=50), - idx=st.sampled_from(["pre-intervention", "post-intervention", "both"]), -) -def test_get_index(n_post_treatment: int, n_pre_treatment: int, idx: InterventionTypes): - constants = TestConstants( - N_POST_TREATMENT=n_post_treatment, - N_PRE_TREATMENT=n_pre_treatment, - ) - data = simulate_data(0.0, DEFAULT_SEED, constants=constants) - idx_vals = data.get_index(idx) - assert isinstance(idx_vals, DatetimeIndex) - if idx == "both": - assert len(idx_vals) == n_pre_treatment + n_post_treatment - elif idx == "post-intervention": - assert len(idx_vals) == n_post_treatment - elif idx == "pre-intervention": - assert len(idx_vals) == n_pre_treatment - - -@pytest.mark.parametrize("n_pre, n_post, n_control", [(60, 30, 10), (60, 30, 20)]) -def test_drop_unit(n_pre: int, n_post: int, n_control: int): - constants = TestConstants( - N_POST_TREATMENT=n_post, - N_PRE_TREATMENT=n_pre, - N_CONTROL=n_control, + assert np.all(data1.treated_unit_covariates == X[:, 2:4, :]) + assert np.all( + data1.control_unit_covariates + == np.concatenate([X[:, :2, :], X[:, 4:, :]], axis=1) ) - data = simulate_data(0.0, DEFAULT_SEED, constants=constants) - desired_shape_Xtr = (n_pre, n_control - 1) - desired_shape_Xte = (n_post, n_control - 1) - desired_shape_ytr = (n_pre, 1) - desired_shape_yte = (n_post, 1) - - for i in range(n_control): - reduced_data = data.drop_unit(i) - assert reduced_data.Xtr.shape == desired_shape_Xtr - assert reduced_data.Xte.shape == desired_shape_Xte - assert reduced_data.ytr.shape == desired_shape_ytr - assert reduced_data.yte.shape == desired_shape_yte - - assert reduced_data.counterfactual == data.counterfactual - assert reduced_data.synthetic == data.synthetic - assert reduced_data._name == data._name - - -@pytest.mark.parametrize("n_pre, n_post, n_control", [(60, 30, 10), (60, 30, 20)]) -def test_to_placebo(n_pre: int, n_post: int, n_control: int): - constants = TestConstants( - N_POST_TREATMENT=n_post, - N_PRE_TREATMENT=n_pre, - N_CONTROL=n_control, - ) - data = simulate_data(0.0, DEFAULT_SEED, constants=constants) - desired_shape_Xtr = (n_pre, n_control - 1) - desired_shape_Xte = (n_post, n_control - 1) - desired_shape_ytr = (n_pre, 1) - desired_shape_yte = (n_post, 1) - - for i in range(n_control): - placebo_data = data.to_placebo_data(i) - assert placebo_data.Xtr.shape == desired_shape_Xtr - assert placebo_data.Xte.shape == desired_shape_Xte - assert placebo_data.ytr.shape == desired_shape_ytr - assert placebo_data.yte.shape == desired_shape_yte - assert not data == placebo_data @given( - n_control=st.integers(min_value=2, max_value=50), - n_pre_treatment=st.integers(min_value=10, max_value=50), - n_post_treatment=st.integers(min_value=10, max_value=50), - global_mean=st.floats( - min_value=-5.0, max_value=5.0, allow_infinity=False, allow_nan=False - ), + T=st.integers(min_value=2, max_value=5000), + N=st.integers(min_value=2, max_value=5000), + K=st.integers(min_value=1, max_value=50), + seed=st.integers(min_value=1, max_value=30), ) @settings(max_examples=10) -def test_eq( - n_control: int, n_pre_treatment: int, n_post_treatment: int, global_mean: float -): - constants = TestConstants( - N_POST_TREATMENT=n_post_treatment, - N_PRE_TREATMENT=n_pre_treatment, - N_CONTROL=n_control, - ) - data = simulate_data(global_mean, DEFAULT_SEED, constants=constants) - copied_data = deepcopy(data) - assert data == copied_data - - # Shape mismatch - for i in range(n_control): - reduced_data = data.drop_unit(i) - assert not data == reduced_data - - -@pytest.mark.parametrize("n_pre, n_post, n_control", [(60, 30, 10), (60, 30, 20)]) -def test_reassign_treatment(n_pre: int, n_post: int, n_control: int): - constants = TestConstants( - N_POST_TREATMENT=n_post, - N_PRE_TREATMENT=n_pre, - N_CONTROL=n_control, - ) - data = simulate_data(0.0, DEFAULT_SEED, constants=constants) - to_assign_ytr = np.ones(shape=(n_pre, 1)) - to_assign_yte = np.ones(shape=(n_post, 1)) - - reassigned_data = reassign_treatment(data, to_assign_ytr, to_assign_yte) - assert not data == reassigned_data - np.testing.assert_equal(reassigned_data.ytr, to_assign_ytr) - np.testing.assert_equal(reassigned_data.yte, to_assign_yte) +def test_dataset_to_df(T: int, N: int, K: int, seed: int): + rng = np.random.RandomState(seed) + X = rng.randn(T, N, K) + Y = rng.randn(T, N) + D = rng.randn(T, N) + + data1 = Dataset(Y, D, X) + df1 = data1.to_df() + assert isinstance(df1, pd.DataFrame) + assert df1.shape == (T, N * (K + 2)) + EXPECTED_COLUMN_LEVELS = 2 + assert df1.columns.nlevels == EXPECTED_COLUMN_LEVELS + assert df1.columns[0] == ("U0", "Y") + assert df1.columns[1] == ("U0", "D") + assert df1.columns[2] == ("U0", "X0") + assert df1.columns[K + 2] == ("U1", "Y") + assert df1.columns[K + 3] == ("U1", "D") + assert df1.columns[K + 4] == ("U1", "X0") + + C1 = df1.to_numpy() + C1[:, 0] = Y[:, 0] + C1[:, 1] = D[:, 0] + C1[:, 2] = X[:, 0, 0] + C1[:, K + 2] = Y[:, 1] + C1[:, K + 3] = D[:, 1] + C1[:, K + 4] = X[:, 1, 0] + C1[:, -1] = X[:, -1, -1] + C1[:, -K - 2] = Y[:, -1] + + data2 = Dataset(Y, D) + df2 = data2.to_df() + assert isinstance(df2, pd.DataFrame) + assert df2.shape == (T, N * 2) + assert df2.columns.nlevels == EXPECTED_COLUMN_LEVELS + assert df2.columns[0] == ("U0", "Y") + assert df2.columns[1] == ("U0", "D") + assert df2.columns[2] == ("U1", "Y") + assert df2.columns[3] == ("U1", "D") @given( @@ -323,9 +128,13 @@ def test_reassign_treatment(n_pre: int, n_post: int, n_control: int): min_size=1, max_size=10, ), + T=st.integers(min_value=2, max_value=5000), + N=st.integers(min_value=2, max_value=5000), ) -def test_naming_setter(name: str, extra_chars: str): - data = simulate_data(10.0, DEFAULT_SEED) +def test_naming_setter(name: str, extra_chars: str, T: int, N: int): + Y = np.random.randn(T, N) + D = np.random.randn(T, N) + data = Dataset(Y, D) data.name = name assert data.name == name new_name = name + extra_chars @@ -333,106 +142,23 @@ def test_naming_setter(name: str, extra_chars: str): assert data.name == new_name -@given( - n_pre=st.integers(min_value=10, max_value=100), - n_post=st.integers(min_value=10, max_value=100), - n_control=st.integers(min_value=2, max_value=20), -) -@settings(max_examples=5) -def test_counterfactual_synthetic_attributes(n_pre: int, n_post: int, n_control: int): - constants = TestConstants( - N_POST_TREATMENT=n_post, - N_PRE_TREATMENT=n_pre, - N_CONTROL=n_control, - ) - data = simulate_data(0.0, DEFAULT_SEED, constants=constants) - - assert data.counterfactual is None - assert data.synthetic is None - - counterfactual_vals = np.random.randn(n_post, 1) - synthetic_vals = np.random.randn(n_post, 1) - - data_with_attrs = Dataset( - data.Xtr, - data.Xte, - data.ytr, - data.yte, - data._start_date, - data.Ptr, - data.Pte, - data.Rtr, - data.Rte, - counterfactual_vals, - synthetic_vals, - "test_dataset", - ) - - np.testing.assert_array_equal(data_with_attrs.counterfactual, counterfactual_vals) - np.testing.assert_array_equal(data_with_attrs.synthetic, synthetic_vals) - assert data_with_attrs.name == "test_dataset" - - -@given( - n_pre=st.integers(min_value=10, max_value=100), - n_post=st.integers(min_value=10, max_value=100), - n_control=st.integers(min_value=2, max_value=20), -) -@settings(max_examples=5) -def test_inflate_method(n_pre: int, n_post: int, n_control: int): - constants = TestConstants( - N_POST_TREATMENT=n_post, - N_PRE_TREATMENT=n_pre, - N_CONTROL=n_control, - ) - data = simulate_data(0.0, DEFAULT_SEED, constants=constants) - - inflation_vals = np.ones((n_post, 1)) * 1.1 - inflated_data = data.inflate(inflation_vals) - - np.testing.assert_array_equal(inflated_data.Xtr, data.Xtr) - np.testing.assert_array_equal(inflated_data.ytr, data.ytr) - np.testing.assert_array_equal(inflated_data.Xte, data.Xte) - - expected_yte = data.yte * inflation_vals - np.testing.assert_array_equal(inflated_data.yte, expected_yte) - - np.testing.assert_array_equal(inflated_data.counterfactual, data.yte) - - -@given( - n_pre=st.integers(min_value=10, max_value=100), - n_post=st.integers(min_value=10, max_value=100), - n_control=st.integers(min_value=2, max_value=20), -) -@settings(max_examples=5) -def test_control_treated_properties(n_pre: int, n_post: int, n_control: int): - constants = TestConstants( - N_POST_TREATMENT=n_post, - N_PRE_TREATMENT=n_pre, - N_CONTROL=n_control, - ) - data = simulate_data(0.0, DEFAULT_SEED, constants=constants) - - control_units = data.control_units - expected_control = np.vstack([data.Xtr, data.Xte]) - np.testing.assert_array_equal(control_units, expected_control) - assert control_units.shape == (n_pre + n_post, n_control) - - treated_units = data.treated_units - expected_treated = np.vstack([data.ytr, data.yte]) - np.testing.assert_array_equal(treated_units, expected_treated) - assert treated_units.shape == (n_pre + n_post, 1) - - @given( seeds=st.lists( elements=st.integers(min_value=1, max_value=1000), min_size=1, max_size=10 ), to_name=st.booleans(), -) -def test_dataset_container(seeds: tp.List[int], to_name: bool): - datasets = [simulate_data(0.0, s) for s in seeds] + T=st.integers(min_value=2, max_value=5000), + N=st.integers(min_value=2, max_value=5000), +) +def test_dataset_container(seeds: tp.List[int], to_name: bool, T: int, N: int): + datasets = [] + for s in seeds: + rng = np.random.RandomState(s) + Y = rng.randn(T, N) + D = rng.randn(T, N) + data = Dataset(Y, D) + datasets.append(data) + if to_name: names = [f"D_{idx}" for idx in range(len(datasets))] else: @@ -463,72 +189,28 @@ def test_dataset_container(seeds: tp.List[int], to_name: bool): @given( - n_pre=st.integers(min_value=10, max_value=100), - n_post=st.integers(min_value=10, max_value=100), - n_control=st.integers(min_value=2, max_value=20), -) -@settings(max_examples=5) -def test_covariate_properties_without_covariates( - n_pre: int, n_post: int, n_control: int -): - constants = TestConstants( - N_POST_TREATMENT=n_post, - N_PRE_TREATMENT=n_pre, - N_CONTROL=n_control, - ) - data = simulate_data(0.0, DEFAULT_SEED, constants=constants) - - assert data.has_covariates is False - assert data.control_covariates is None - assert data.treated_covariates is None - assert data.pre_intervention_covariates is None - assert data.post_intervention_covariates is None - assert data.n_covariates == 0 - - -@given( - n_pre=st.integers(min_value=10, max_value=50), - n_post=st.integers(min_value=10, max_value=50), - n_control=st.integers(min_value=2, max_value=10), - n_covariates=st.integers(min_value=1, max_value=5), - seed=st.integers(min_value=1, max_value=10000), + T=st.integers(min_value=2, max_value=100), + N=st.integers(min_value=2, max_value=100), + K=st.integers(min_value=1, max_value=10), + seed=st.integers(min_value=1, max_value=100), + use_bernoulli=st.booleans(), ) -@settings(max_examples=5) -def test_covariate_properties_with_covariates( - n_pre: int, - n_post: int, - n_control: int, - n_covariates: int, - seed: int, -): +@settings(max_examples=10) +def test_inflate(T: int, N: int, K: int, seed: int, use_bernoulli: bool): rng = np.random.RandomState(seed) + include_X = bool(rng.binomial(1, 0.5)) + Y = rng.randn(T, N) + D = rng.binomial(1, 0.3, (T, N)) if use_bernoulli else np.abs(rng.randn(T, N)) + X = rng.randn(T, N, K) if include_X else None - Xtr = rng.uniform(-10, 10, (n_pre, n_control)) - Xte = rng.uniform(-10, 10, (n_post, n_control)) - ytr = rng.uniform(-10, 10, (n_pre, 1)) - yte = rng.uniform(-10, 10, (n_post, 1)) - Ptr = rng.uniform(-10, 10, (n_pre, n_control, n_covariates)) - Pte = rng.uniform(-10, 10, (n_post, n_control, n_covariates)) - Rtr = rng.uniform(-10, 10, (n_pre, 1, n_covariates)) - Rte = rng.uniform(-10, 10, (n_post, 1, n_covariates)) - - data = Dataset(Xtr, Xte, ytr, yte, dt.date(2023, 1, 1), Ptr, Pte, Rtr, Rte) + data = Dataset(Y, D, X) + inflation_vals = rng.uniform(0.01, 1.0, (T, N)) - assert data.n_covariates == n_covariates - assert data.has_covariates is True - - control_covariates = data.control_covariates - expected_control_cov = np.vstack([Ptr, Pte]) - np.testing.assert_array_equal(control_covariates, expected_control_cov) - assert control_covariates.shape == (n_pre + n_post, n_control, n_covariates) - - treated_covariates = data.treated_covariates - expected_treated_cov = np.vstack([Rtr, Rte]) - np.testing.assert_array_equal(treated_covariates, expected_treated_cov) - assert treated_covariates.shape == (n_pre + n_post, 1, n_covariates) - - pre_cov = data.pre_intervention_covariates - assert pre_cov == (Ptr, Rtr) + inflated_data = data.inflate(inflation_vals) - post_cov = data.post_intervention_covariates - assert post_cov == (Pte, Rte) + assert np.allclose(inflated_data.Y, Y * inflation_vals) + assert np.allclose(inflated_data.D, D) + if include_X: + assert np.allclose(inflated_data.X, X) + else: + assert inflated_data.X is None diff --git a/tests/test_causal_validation/test_effect.py b/tests/test_causal_validation/test_effect.py index f959315..4ad4cad 100644 --- a/tests/test_causal_validation/test_effect.py +++ b/tests/test_causal_validation/test_effect.py @@ -1,58 +1,84 @@ from hypothesis import ( given, + settings, strategies as st, ) +import numpy as np -from causal_validation.effects import StaticEffect -from causal_validation.testing import ( - TestConstants, - simulate_data, +from causal_validation.data import Dataset +from causal_validation.effects import ( + RandomEffect, + StaticEffect, ) -EFFECT_LOWER_BOUND = 1e-3 - - -@st.composite -def effect_strategy(draw): - lower_range = st.floats( - min_value=-0.1, - max_value=-1e-4, - exclude_max=True, - allow_infinity=False, - allow_nan=False, - ) - upper_range = st.floats( - min_value=1e-4, - max_value=0.1, - exclude_min=True, - allow_infinity=False, - allow_nan=False, - ) - combined_strategy = st.one_of(lower_range, upper_range) - return draw(combined_strategy) + +@given( + T=st.integers(min_value=2, max_value=50), + N=st.integers(min_value=2, max_value=50), + K=st.integers(min_value=1, max_value=10), + effect=st.floats( + min_value=-0.5, max_value=0.5, allow_nan=False, allow_infinity=False + ), + seed=st.integers(min_value=1, max_value=100), +) +@settings(max_examples=10) +def test_static_effect(T: int, N: int, K: int, effect: float, seed: int): + rng = np.random.RandomState(seed) + use_bernoulli = bool(rng.binomial(1, 0.5)) + include_X = bool(rng.binomial(1, 0.5)) + Y = rng.randn(T, N) + D = rng.binomial(1, 0.3, (T, N)) if use_bernoulli else np.abs(rng.randn(T, N)) + X = rng.randn(T, N, K) if include_X else None + + data = Dataset(Y, D, X) + static_effect = StaticEffect(effect=effect) + + inflated_data = static_effect(data) + expected_inflation = np.ones(D.shape) + D * effect + + assert np.allclose(inflated_data.Y, Y * expected_inflation) + assert np.allclose(inflated_data.D, D) + if include_X: + assert np.allclose(inflated_data.X, X) + else: + assert inflated_data.X is None @given( - global_mean=st.floats( - min_value=20.0, max_value=50.0, allow_nan=False, allow_infinity=False + N=st.integers(min_value=2, max_value=50), + K=st.integers(min_value=1, max_value=10), + mean_effect=st.floats( + min_value=-0.3, max_value=0.3, allow_nan=False, allow_infinity=False + ), + stddev_effect=st.floats( + min_value=0.01, max_value=0.2, allow_nan=False, allow_infinity=False ), - effect_val=effect_strategy(), - seed=st.integers(min_value=1, max_value=10), + seed=st.integers(min_value=1, max_value=100), ) -def test_array_shapes(global_mean: float, effect_val: float, seed: int): - constants = TestConstants(GLOBAL_SCALE=0.01) - data = simulate_data(global_mean, seed, constants=constants) - effect = StaticEffect(effect=effect_val) - - inflated_data = effect(data) - if effect_val == 0: - assert inflated_data.yte.sum() == data.yte.sum() - elif effect_val < 0: - assert inflated_data.yte.sum() < data.yte.sum() - elif effect_val > 0: - assert inflated_data.yte.sum() > data.yte.sum() - - assert inflated_data.counterfactual.sum() == data.yte.sum() - - _effects = effect.get_effect(data) - assert _effects.shape == (data.n_post_intervention, 1) +@settings(max_examples=10) +def test_random_effect( + N: int, + K: int, + mean_effect: float, + stddev_effect: float, + seed: int, +): + rng = np.random.RandomState(seed) + use_bernoulli = bool(rng.binomial(1, 0.5)) + include_X = bool(rng.binomial(1, 0.5)) + T = 50 + Y = rng.randn(T, N) + D = rng.binomial(1, 0.3, (T, N)) if use_bernoulli else np.abs(rng.randn(T, N)) + X = rng.randn(T, N, K) if include_X else None + + data = Dataset(Y, D, X) + random_effect = RandomEffect(mean_effect=mean_effect, stddev_effect=stddev_effect) + + inflated_data = random_effect(data, key=rng) + + assert inflated_data.Y.shape == Y.shape + assert np.allclose(inflated_data.D, D) + if include_X: + assert np.allclose(inflated_data.X, X) + else: + assert inflated_data.X is None diff --git a/tests/test_causal_validation/test_models.py b/tests/test_causal_validation/test_estimator/test_az_causal.py similarity index 82% rename from tests/test_causal_validation/test_models.py rename to tests/test_causal_validation/test_estimator/test_az_causal.py index ca479a4..e681ab7 100644 --- a/tests/test_causal_validation/test_models.py +++ b/tests/test_causal_validation/test_estimator/test_az_causal.py @@ -19,10 +19,8 @@ ) import numpy as np -from causal_validation.models import ( - AZCausalWrapper, - Result, -) +from causal_validation.estimator import Result +from causal_validation.estimator.utils import AZCausalWrapper from causal_validation.testing import ( TestConstants, simulate_data, @@ -52,11 +50,9 @@ def test_call( n_post_treatment: int, seed: int, ): - constants = TestConstants( - N_CONTROL=n_control, - N_PRE_TREATMENT=n_pre_treatment, - N_POST_TREATMENT=n_post_treatment, - ) + D = np.zeros((n_pre_treatment + n_post_treatment, n_control + 1)) + D[n_pre_treatment:, -1] = 1 + constants = TestConstants(TREATMENT_ASSIGNMENTS=D) data = simulate_data(global_mean=10.0, seed=seed, constants=constants) model = AZCausalWrapper(*model_error) result = model(data) @@ -65,7 +61,7 @@ def test_call( assert isinstance(result.effect, Effect) assert not np.isnan(result.effect.value) assert isinstance(model._az_result, _Result) - assert np.all(np.concatenate((data.ytr, data.yte), axis=0) == result.observed) + assert np.all(data.treated_unit_outputs == result.observed) assert ( result.observed.shape == result.counterfactual.shape == result.synthetic.shape ) diff --git a/tests/test_causal_validation/test_integration.py b/tests/test_causal_validation/test_integration.py index 0525bec..2b2ed49 100644 --- a/tests/test_causal_validation/test_integration.py +++ b/tests/test_causal_validation/test_integration.py @@ -13,19 +13,16 @@ def _sum_data(data: Dataset) -> float: - return data.Xtr.sum() + data.ytr.sum() + data.Xte.sum() + data.yte.sum() + return data.Y.sum() @pytest.mark.parametrize( "seed,e1,e2", [(123, 19794.92, 63849.93), (42, 19803.64, 63858.64)] ) def test_end_to_end(seed: int, e1: float, e2: float): - cfg = Config( - n_control_units=10, - n_pre_intervention_timepoints=60, - n_post_intervention_timepoints=30, - seed=seed, - ) + D = np.zeros((90, 11)) + D[60:, -1] = 1 + cfg = Config(treatment_assignments=D) data = simulate(cfg) np.testing.assert_approx_equal(_sum_data(data), e1, significant=2) diff --git a/tests/test_causal_validation/test_plotters.py b/tests/test_causal_validation/test_plotters.py index a034fde..a324b33 100644 --- a/tests/test_causal_validation/test_plotters.py +++ b/tests/test_causal_validation/test_plotters.py @@ -5,6 +5,7 @@ ) from matplotlib.axes._axes import Axes import matplotlib.pyplot as plt +import numpy as np from causal_validation.plotters import plot from causal_validation.testing import ( @@ -39,11 +40,9 @@ def test_plot( n_control: int, n_pre_treatment: int, n_post_treatment: int, ax_bool: bool ): - constants = TestConstants( - N_POST_TREATMENT=n_post_treatment, - N_PRE_TREATMENT=n_pre_treatment, - N_CONTROL=n_control, - ) + D = np.zeros((n_pre_treatment + n_post_treatment, n_control + 1)) + D[n_pre_treatment:, -1] = 1 + constants = TestConstants(TREATMENT_ASSIGNMENTS=D) data = simulate_data(0.0, DEFAULT_SEED, constants=constants) if ax_bool: _, ax = plt.subplots() diff --git a/tests/test_causal_validation/test_simulate.py b/tests/test_causal_validation/test_simulate.py index 2ef23c0..57ce574 100644 --- a/tests/test_causal_validation/test_simulate.py +++ b/tests/test_causal_validation/test_simulate.py @@ -9,95 +9,86 @@ @given( - n_units=st.integers(min_value=1, max_value=5), - n_pre=st.integers(min_value=1, max_value=10), - n_post=st.integers(min_value=1, max_value=10), + n_units=st.integers(min_value=2, max_value=50), + n_timepoints=st.integers(min_value=5, max_value=150), seed=st.integers(min_value=1, max_value=1000), ) -def test_simulate_basic(n_units, n_pre, n_post, seed): +def test_simulate_basic(n_units, n_timepoints, seed): + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -1] = 1 + cfg = Config( - n_control_units=n_units, - n_pre_intervention_timepoints=n_pre, - n_post_intervention_timepoints=n_post, + treatment_assignments=treatment_assignments, seed=seed, ) data = simulate(cfg) - assert data.Xtr.shape == (n_pre, n_units) - assert data.Xte.shape == (n_post, n_units) - assert data.ytr.shape == (n_pre, 1) - assert data.yte.shape == (n_post, 1) - assert not data.has_covariates + assert data.Y.shape == (n_timepoints, n_units) + assert data.D.shape == (n_timepoints, n_units) + assert np.array_equal(data.D, treatment_assignments) + assert data.X is None + assert data.n_covariates == 0 @given( - n_units=st.integers(min_value=1, max_value=5), - n_pre=st.integers(min_value=1, max_value=10), - n_post=st.integers(min_value=1, max_value=10), + n_units=st.integers(min_value=2, max_value=50), + n_timepoints=st.integers(min_value=5, max_value=100), n_covariates=st.integers(min_value=1, max_value=3), seed=st.integers(min_value=1, max_value=1000), ) -def test_simulate_with_covariates(n_units, n_pre, n_post, n_covariates, seed): +def test_simulate_with_covariates(n_units, n_timepoints, n_covariates, seed): + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -1] = 1 + cfg = Config( - n_control_units=n_units, - n_pre_intervention_timepoints=n_pre, - n_post_intervention_timepoints=n_post, + treatment_assignments=treatment_assignments, n_covariates=n_covariates, seed=seed, ) data = simulate(cfg) - assert data.Xtr.shape == (n_pre, n_units) - assert data.Xte.shape == (n_post, n_units) - assert data.ytr.shape == (n_pre, 1) - assert data.yte.shape == (n_post, 1) - assert data.has_covariates - assert data.Ptr.shape == (n_pre, n_units, n_covariates) - assert data.Pte.shape == (n_post, n_units, n_covariates) - assert data.Rtr.shape == (n_pre, 1, n_covariates) - assert data.Rte.shape == (n_post, 1, n_covariates) + assert data.Y.shape == (n_timepoints, n_units) + assert data.D.shape == (n_timepoints, n_units) + assert data.X.shape == (n_timepoints, n_units, n_covariates) + assert data.n_covariates == n_covariates @given( - n_units=st.integers(min_value=1, max_value=5), - n_pre=st.integers(min_value=1, max_value=10), - n_post=st.integers(min_value=1, max_value=10), + n_units=st.integers(min_value=2, max_value=5), + n_timepoints=st.integers(min_value=5, max_value=10), seed=st.integers(min_value=1, max_value=1000), ) -def test_simulate_reproducible(n_units, n_pre, n_post, seed): +def test_simulate_reproducible(n_units, n_timepoints, seed): + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -1] = 1 + cfg1 = Config( - n_control_units=n_units, - n_pre_intervention_timepoints=n_pre, - n_post_intervention_timepoints=n_post, + treatment_assignments=treatment_assignments, seed=seed, ) data1 = simulate(cfg1) cfg2 = Config( - n_control_units=n_units, - n_pre_intervention_timepoints=n_pre, - n_post_intervention_timepoints=n_post, + treatment_assignments=treatment_assignments, seed=seed, ) data2 = simulate(cfg2) - np.testing.assert_array_equal(data1.Xtr, data2.Xtr) - np.testing.assert_array_equal(data1.Xte, data2.Xte) - np.testing.assert_array_equal(data1.ytr, data2.ytr) - np.testing.assert_array_equal(data1.yte, data2.yte) + np.testing.assert_array_equal(data1.Y, data2.Y) + np.testing.assert_array_equal(data1.D, data2.D) @given( - n_units=st.integers(min_value=1, max_value=3), - n_pre=st.integers(min_value=3, max_value=10), - n_post=st.integers(min_value=1, max_value=5), + n_units=st.integers(min_value=2, max_value=3), + n_timepoints=st.integers(min_value=6, max_value=10), seed=st.integers(min_value=1, max_value=1000), ) -def test_simulate_covariate_effects(n_units, n_pre, n_post, seed): +def test_simulate_covariate_effects(n_units, n_timepoints, seed): + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -1] = 1 + cfg = Config( - n_control_units=n_units, - n_pre_intervention_timepoints=n_pre, - n_post_intervention_timepoints=n_post, + treatment_assignments=treatment_assignments, n_covariates=1, covariate_coeffs=np.array([10.0]), seed=seed, @@ -105,43 +96,147 @@ def test_simulate_covariate_effects(n_units, n_pre, n_post, seed): data_with_cov = simulate(cfg) cfg_no_cov = Config( - n_control_units=n_units, - n_pre_intervention_timepoints=n_pre, - n_post_intervention_timepoints=n_post, + treatment_assignments=treatment_assignments, seed=seed, ) data_no_cov = simulate(cfg_no_cov) - assert not np.allclose(data_with_cov.ytr, data_no_cov.ytr) - assert not np.allclose(data_with_cov.yte, data_no_cov.yte) + assert not np.allclose(data_with_cov.Y, data_no_cov.Y) @given( - n_units=st.integers(min_value=1, max_value=3), - n_pre=st.integers(min_value=3, max_value=10), - n_post=st.integers(min_value=1, max_value=5), + n_units=st.integers(min_value=2, max_value=3), + n_timepoints=st.integers(min_value=6, max_value=10), seed=st.integers(min_value=1, max_value=1000), ) -def test_simulate_exact_covariate_effects(n_units, n_pre, n_post, seed): +def test_simulate_exact_covariate_effects(n_units, n_timepoints, seed): + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -1] = 1 + cfg = Config( - n_control_units=n_units, - n_pre_intervention_timepoints=n_pre, - n_post_intervention_timepoints=n_post, + treatment_assignments=treatment_assignments, n_covariates=2, - covariate_means=np.ones((n_units, 2)), - covariate_stds=1e-12 * np.ones((n_units, 2)), + covariate_means=np.ones(2), + covariate_stds=1e-12 * np.ones(2), covariate_coeffs=np.array([10.0, 5.0]), seed=seed, ) data_with_cov = simulate(cfg) cfg_no_cov = Config( - n_control_units=n_units, - n_pre_intervention_timepoints=n_pre, - n_post_intervention_timepoints=n_post, + treatment_assignments=treatment_assignments, seed=seed, ) data_no_cov = simulate(cfg_no_cov) - assert np.allclose(data_with_cov.Xtr - 15, data_no_cov.Xtr) - assert np.allclose(data_with_cov.Xte - 15, data_no_cov.Xte) + assert np.allclose(data_with_cov.Y - 15, data_no_cov.Y) + + +@given( + n_units=st.integers(min_value=3, max_value=50), + n_timepoints=st.integers(min_value=5, max_value=100), + seed=st.integers(min_value=1, max_value=1000), +) +def test_simulate_control_weighted(n_units, n_timepoints, seed): + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -1] = 1 + + cfg = Config( + treatment_assignments=treatment_assignments, + treated_simulation_type="control-weighted", + seed=seed, + ) + data = simulate(cfg) + + assert data.Y.shape == (n_timepoints, n_units) + assert data.n_control_units == n_units - 1 + assert data.n_treated_units == 1 + assert np.all(data.Y[:, :-1] @ cfg.weights[0] == data.Y[:, -1]) + + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -2:] = 1 + + cfg = Config( + treatment_assignments=treatment_assignments, + treated_simulation_type="control-weighted", + seed=seed, + ) + data = simulate(cfg) + + N_TREATED = 2 + assert data.Y.shape == (n_timepoints, n_units) + assert data.n_control_units == n_units - N_TREATED + assert data.n_treated_units == N_TREATED + assert np.all(data.Y[:, :-2] @ cfg.weights[0] == data.Y[:, -2]) + assert np.all(data.Y[:, :-2] @ cfg.weights[1] == data.Y[:, -1]) + + +@given( + n_units=st.integers(min_value=3, max_value=50), + n_timepoints=st.integers(min_value=5, max_value=100), + n_covariates=st.integers(min_value=1, max_value=3), + seed=st.integers(min_value=1, max_value=1000), +) +def test_simulate_control_weighted_with_covariates( + n_units, n_timepoints, n_covariates, seed +): + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -1] = 1 + + cfg = Config( + treatment_assignments=treatment_assignments, + treated_simulation_type="control-weighted", + n_covariates=n_covariates, + seed=seed, + ) + data = simulate(cfg) + + assert data.Y.shape == (n_timepoints, n_units) + assert data.n_control_units == n_units - 1 + assert data.n_treated_units == 1 + assert np.all(data.Y[:, :-1] @ cfg.weights[0] == data.Y[:, -1]) + X_treated = np.einsum("ijk,j->ik", data.X[:, :-1, :], cfg.weights[0]) + assert np.all(X_treated == data.X[:, -1, :]) + + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -2:] = 1 + + cfg = Config( + treatment_assignments=treatment_assignments, + treated_simulation_type="control-weighted", + n_covariates=n_covariates, + seed=seed, + ) + data = simulate(cfg) + + N_TREATED = 2 + assert data.Y.shape == (n_timepoints, n_units) + assert data.n_control_units == n_units - N_TREATED + assert data.n_treated_units == N_TREATED + assert np.all(data.Y[:, :-2] @ cfg.weights[0] == data.Y[:, -2]) + assert np.all(data.Y[:, :-2] @ cfg.weights[1] == data.Y[:, -1]) + X_treated1 = np.einsum("ijk,j->ik", data.X[:, :-2, :], cfg.weights[0]) + X_treated2 = np.einsum("ijk,j->ik", data.X[:, :-2, :], cfg.weights[1]) + assert np.all(X_treated1 == data.X[:, -2, :]) + assert np.all(X_treated2 == data.X[:, -1, :]) + + +@given( + n_units=st.integers(min_value=3, max_value=5000), + n_timepoints=st.integers(min_value=5, max_value=10), + seed=st.integers(min_value=1, max_value=1000), +) +def test_simulate_independent(n_units, n_timepoints, seed): + treatment_assignments = np.zeros((n_timepoints, n_units)) + treatment_assignments[n_timepoints // 2 :, -1] = 1 + + cfg = Config( + treatment_assignments=treatment_assignments, + treated_simulation_type="independent", + seed=seed, + ) + data = simulate(cfg) + + assert data.Y.shape == (n_timepoints, n_units) + assert data.n_control_units == n_units - 1 + assert data.n_treated_units == 1 diff --git a/tests/test_causal_validation/test_transforms/test_noise.py b/tests/test_causal_validation/test_transforms/test_noise.py index eb05731..f5e4927 100644 --- a/tests/test_causal_validation/test_transforms/test_noise.py +++ b/tests/test_causal_validation/test_transforms/test_noise.py @@ -17,7 +17,7 @@ ) from causal_validation.transforms.parameter import ( CovariateNoiseParameter, - TimeVaryingParameter, + TimeAndUnitVaryingParameter, ) CONSTANTS = TestConstants() @@ -28,25 +28,30 @@ def test_slot_type(): noise_transform = Noise() - assert isinstance(noise_transform.noise_dist, TimeVaryingParameter) + assert isinstance(noise_transform.noise_dist, TimeAndUnitVaryingParameter) -def test_timepoints_randomness(): +def test_time_unit_points_randomness(): base_data = simulate_data(GLOBAL_MEAN, DEFAULT_SEED) noise_transform = Noise() noisy_data = noise_transform(base_data) - diff_tr = (noisy_data.ytr - base_data.ytr).reshape(-1) - diff_te = (noisy_data.yte - base_data.yte).reshape(-1) + treated_unit_indices = base_data.treated_unit_indices + ix_treat1 = treated_unit_indices[0] + diff_treat1 = noisy_data.Y[:, ix_treat1] - base_data.Y[:, ix_treat1] - assert np.all(diff_tr != diff_te) + ix_treat2 = treated_unit_indices[1] + diff_treat2 = noisy_data.Y[:, ix_treat2] - base_data.Y[:, ix_treat2] - diff_tr_permute = np.random.permutation(diff_tr) - diff_te_permute = np.random.permutation(diff_te) + assert np.all(diff_treat1 != diff_treat2) - assert not np.all(diff_tr == diff_tr_permute) - assert not np.all(diff_te == diff_te_permute) + diff_treat1_1 = diff_treat1[: base_data.n_timepoints // 2] + diff_treat1_2 = diff_treat1[ + base_data.n_timepoints // 2 : 2 * base_data.n_timepoints // 2 + ] + + assert np.all(diff_treat1_1 != diff_treat1_2) @given( @@ -57,14 +62,20 @@ def test_timepoints_randomness(): def test_base_transform(loc: float, scale: float): base_data = simulate_data(GLOBAL_MEAN, DEFAULT_SEED) noise_transform = Noise( - noise_dist=TimeVaryingParameter(sampling_dist=norm(loc, scale)) + noise_dist=TimeAndUnitVaryingParameter(sampling_dist=norm(loc, scale)) ) noisy_data = noise_transform(base_data) + treated_unit_indices = base_data.treated_unit_indices + control_unit_indices = base_data.control_unit_indices - assert np.all(noisy_data.Xtr == base_data.Xtr) - assert np.all(noisy_data.Xte == base_data.Xte) - assert np.all(noisy_data.ytr != base_data.ytr) - assert np.all(noisy_data.yte != base_data.yte) + assert np.all(noisy_data.X == base_data.X) + assert np.all(noisy_data.D == base_data.D) + assert np.all( + noisy_data.Y[:, treated_unit_indices] != base_data.Y[:, treated_unit_indices] + ) + assert np.all( + noisy_data.Y[:, control_unit_indices] == base_data.Y[:, control_unit_indices] + ) @given( @@ -81,10 +92,14 @@ def test_composite_transform(degree: int, coefficient: float, intercept: float): noise_transform = Noise() noisy_trendy_data = noise_transform(trendy_data) - assert np.all(noisy_trendy_data.Xtr == trendy_data.Xtr) - assert np.all(noisy_trendy_data.Xte == trendy_data.Xte) - assert np.all(noisy_trendy_data.ytr != trendy_data.ytr) - assert np.all(noisy_trendy_data.yte != trendy_data.yte) + treated_unit_indices = base_data.treated_unit_indices + + assert np.all(noisy_trendy_data.X == trendy_data.X) + assert np.all(noisy_trendy_data.D == trendy_data.D) + assert np.all( + noisy_trendy_data.Y[:, treated_unit_indices] + != trendy_data.Y[:, treated_unit_indices] + ) @given( @@ -100,35 +115,37 @@ def test_perturbation_impact( base_data = simulate_data(GLOBAL_MEAN, DEFAULT_SEED) noise_transform1 = Noise( - noise_dist=TimeVaryingParameter(sampling_dist=norm(loc_small, scale_small)) + noise_dist=TimeAndUnitVaryingParameter( + sampling_dist=norm(loc_small, scale_small) + ) ) noise_transform2 = Noise( - noise_dist=TimeVaryingParameter(sampling_dist=norm(loc_small, scale_large)) + noise_dist=TimeAndUnitVaryingParameter( + sampling_dist=norm(loc_small, scale_large) + ) ) noise_transform3 = Noise( - noise_dist=TimeVaryingParameter(sampling_dist=norm(loc_large, scale_small)) + noise_dist=TimeAndUnitVaryingParameter( + sampling_dist=norm(loc_large, scale_small) + ) ) noise_transforms = [noise_transform1, noise_transform2, noise_transform3] - diff_tr_list, diff_te_list = [], [] + treated_unit_indices = base_data.treated_unit_indices + ix_treat = treated_unit_indices[0] + + diff_list = [] for noise_transform in noise_transforms: noisy_data = noise_transform(base_data) - diff_tr = noisy_data.ytr - base_data.ytr - diff_te = noisy_data.yte - base_data.yte - diff_tr_list.append(diff_tr) - diff_te_list.append(diff_te) - - assert np.max(diff_tr_list[0]) < np.max(diff_tr_list[1]) - assert np.min(diff_tr_list[0]) > np.min(diff_tr_list[1]) - assert np.max(diff_tr_list[0]) < np.max(diff_tr_list[2]) - assert np.min(diff_tr_list[0]) < np.min(diff_tr_list[2]) + diff = noisy_data.Y[:, ix_treat] - base_data.Y[:, ix_treat] + diff_list.append(diff) - assert np.max(diff_te_list[0]) < np.max(diff_te_list[1]) - assert np.min(diff_te_list[0]) > np.min(diff_te_list[1]) - assert np.max(diff_te_list[0]) < np.max(diff_te_list[2]) - assert np.min(diff_te_list[0]) < np.min(diff_te_list[2]) + assert np.max(diff_list[0]) < np.max(diff_list[1]) + assert np.min(diff_list[0]) > np.min(diff_list[1]) + assert np.max(diff_list[0]) < np.max(diff_list[2]) + assert np.min(diff_list[0]) < np.min(diff_list[2]) # Covariate Noise Test @@ -146,30 +163,9 @@ def test_output_covariate_transform(n_covariates: int): covariate_noise_transform = CovariateNoise() noisy_data = covariate_noise_transform(base_data) - assert np.all(noisy_data.ytr == base_data.ytr) - assert np.all(noisy_data.yte == base_data.yte) - assert np.all(noisy_data.Xtr == base_data.Xtr) - assert np.all(noisy_data.Xte == base_data.Xte) - - diff_Ptr = (noisy_data.Ptr - base_data.Ptr).reshape(-1) - diff_Pte = (noisy_data.Pte - base_data.Pte).reshape(-1) - - assert np.all(diff_Ptr != diff_Pte) - - diff_Rtr = (noisy_data.Rtr - base_data.Rtr).reshape(-1) - diff_Rte = (noisy_data.Rte - base_data.Rte).reshape(-1) - - assert np.all(diff_Rtr != diff_Rte) - - diff_Ptr_permute = np.random.permutation(diff_Ptr) - diff_Pte_permute = np.random.permutation(diff_Pte) - diff_Rtr_permute = np.random.permutation(diff_Rtr) - diff_Rte_permute = np.random.permutation(diff_Rte) - - assert not np.all(diff_Ptr == diff_Ptr_permute) - assert not np.all(diff_Pte == diff_Pte_permute) - assert not np.all(diff_Rtr == diff_Rtr_permute) - assert not np.all(diff_Rte == diff_Rte_permute) + assert np.all(noisy_data.Y == base_data.Y) + assert np.all(noisy_data.D == base_data.D) + assert np.all(noisy_data.X != base_data.X) @given(n_covariates=st.integers(min_value=1, max_value=50)) @@ -184,14 +180,19 @@ def test_cov_composite_transform(n_covariates: int): noise_transform = Noise() noisy_data = noise_transform(cov_noisy_data) - assert np.all(noisy_data.Xtr == cov_noisy_data.Xtr) - assert np.all(noisy_data.Xte == cov_noisy_data.Xte) - assert np.all(noisy_data.Ptr == cov_noisy_data.Ptr) - assert np.all(noisy_data.Pte == cov_noisy_data.Pte) - assert np.all(noisy_data.Rtr == cov_noisy_data.Rtr) - assert np.all(noisy_data.Rte == cov_noisy_data.Rte) - assert np.all(noisy_data.ytr != cov_noisy_data.ytr) - assert np.all(noisy_data.yte != cov_noisy_data.yte) + assert np.all(noisy_data.X == cov_noisy_data.X) + assert np.all(noisy_data.D == cov_noisy_data.D) + + treated_unit_indices = base_data.treated_unit_indices + control_unit_indices = base_data.control_unit_indices + assert np.all( + noisy_data.Y[:, treated_unit_indices] + != cov_noisy_data.Y[:, treated_unit_indices] + ) + assert np.all( + noisy_data.Y[:, control_unit_indices] + == cov_noisy_data.Y[:, control_unit_indices] + ) @given( @@ -224,36 +225,14 @@ def test_cov_perturbation_impact( noise_transforms = [noise_transform1, noise_transform2, noise_transform3] - diff_Rtr_list, diff_Rte_list = [], [] - diff_Ptr_list, diff_Pte_list = [], [] + diff_list = [] for noise_transform in noise_transforms: noisy_data = noise_transform(base_data) - diff_Rtr = noisy_data.Rtr - base_data.Rtr - diff_Rte = noisy_data.Rte - base_data.Rte - diff_Ptr = noisy_data.Ptr - base_data.Ptr - diff_Pte = noisy_data.Pte - base_data.Pte - diff_Rtr_list.append(diff_Rtr) - diff_Rte_list.append(diff_Rte) - diff_Ptr_list.append(diff_Ptr) - diff_Pte_list.append(diff_Pte) - - assert np.max(diff_Rtr_list[0]) < np.max(diff_Rtr_list[1]) - assert np.min(diff_Rtr_list[0]) > np.min(diff_Rtr_list[1]) - assert np.max(diff_Rtr_list[0]) < np.max(diff_Rtr_list[2]) - assert np.min(diff_Rtr_list[0]) < np.min(diff_Rtr_list[2]) - - assert np.max(diff_Rte_list[0]) < np.max(diff_Rte_list[1]) - assert np.min(diff_Rte_list[0]) > np.min(diff_Rte_list[1]) - assert np.max(diff_Rte_list[0]) < np.max(diff_Rte_list[2]) - assert np.min(diff_Rte_list[0]) < np.min(diff_Rte_list[2]) - - assert np.max(diff_Ptr_list[0]) < np.max(diff_Ptr_list[1]) - assert np.min(diff_Ptr_list[0]) > np.min(diff_Ptr_list[1]) - assert np.max(diff_Ptr_list[0]) < np.max(diff_Ptr_list[2]) - assert np.min(diff_Ptr_list[0]) < np.min(diff_Ptr_list[2]) - - assert np.max(diff_Pte_list[0]) < np.max(diff_Pte_list[1]) - assert np.min(diff_Pte_list[0]) > np.min(diff_Pte_list[1]) - assert np.max(diff_Pte_list[0]) < np.max(diff_Pte_list[2]) - assert np.min(diff_Pte_list[0]) < np.min(diff_Pte_list[2]) + diff = noisy_data.X - base_data.X + diff_list.append(diff) + + assert np.max(diff_list[0]) < np.max(diff_list[1]) + assert np.min(diff_list[0]) > np.min(diff_list[1]) + assert np.max(diff_list[0]) < np.max(diff_list[2]) + assert np.min(diff_list[0]) < np.min(diff_list[2]) diff --git a/tests/test_causal_validation/test_transforms/test_periodic.py b/tests/test_causal_validation/test_transforms/test_periodic.py index 07f845f..ce02fc4 100644 --- a/tests/test_causal_validation/test_transforms/test_periodic.py +++ b/tests/test_causal_validation/test_transforms/test_periodic.py @@ -69,10 +69,7 @@ def test_frequency_param(frequency: int, seed: int, global_mean: float): base_data = simulate_data(global_mean, seed) data = periodic_transform(base_data) np.testing.assert_array_almost_equal( - np.mean(data.control_units, axis=0), np.mean(base_data.control_units, axis=0) - ) - np.testing.assert_array_almost_equal( - np.mean(data.treated_units, axis=0), np.mean(base_data.treated_units, axis=0) + np.mean(data.Y, axis=0), np.mean(base_data.Y, axis=0) ) @@ -108,12 +105,7 @@ def test_amplitude_param(amplitude: float, seed: int, global_mean: float): base_data = simulate_data(global_mean, seed) data = periodic_transform(base_data) - assert np.isclose( - np.max(data.control_units - base_data.control_units), np.abs(amplitude), rtol=1 - ) - assert np.isclose( - np.max(data.treated_units - base_data.treated_units), np.abs(amplitude), rtol=1 - ) + assert np.isclose(np.max(data.Y - base_data.Y), np.abs(amplitude), rtol=1) @given( @@ -124,15 +116,23 @@ def test_amplitude_param(amplitude: float, seed: int, global_mean: float): ), ) def test_num_frequencies(frequency: int, seed: int, global_mean: float): + constants = TestConstants(TREATMENT_ASSIGNMENTS=np.random.randn(100, 20)) periodic_transform = Periodic(frequency=frequency, amplitude=1, shift=0, offset=0) - base_data = simulate_data(global_mean, seed) + base_data = simulate_data(global_mean, seed, constants=constants) data = periodic_transform(base_data) - control_units = data.control_units - treated_units = data.treated_units - for d in [control_units, treated_units]: - num_samples = d.shape[0] - fft_vals = np.fft.fft(d, axis=0) - peak_frequency = np.argmax(np.abs(fft_vals[1 : num_samples // 2]), axis=0) + 1 + + periodic_signal = data.Y - base_data.Y + + for i in range(data.n_units): + signal = periodic_signal[:, i] + num_samples = len(signal) + + fft_vals = np.fft.fft(signal) + fft_magnitudes = np.abs(fft_vals) + + positive_freqs = fft_magnitudes[1 : num_samples // 2] + peak_frequency = np.argmax(positive_freqs) + 1 + np.testing.assert_equal(peak_frequency, frequency) @@ -149,18 +149,15 @@ def test_offset(offset: float, seed: int, global_mean: float): periodic_transform = Periodic(frequency=1, amplitude=5, shift=0, offset=offset) base_data = simulate_data(global_mean, seed) data = periodic_transform(base_data) - original_array = base_data.treated_units.squeeze() - offset_array = data.treated_units.squeeze() - normal_mean = np.mean(original_array) - offset_mean = np.mean(offset_array) - assert np.isclose(offset_mean - normal_mean, offset, atol=0.1) + mean_diff = np.mean(data.Y - base_data.Y) + assert np.isclose(mean_diff, offset, atol=0.1) def test_varying_parameters(): periodic_transform = Periodic() param_slots = periodic_transform._slots - constants = TestConstants(N_CONTROL=2) + constants = TestConstants() data_slots = constants.DATA_SLOTS base_data = simulate_data(GLOBAL_MEAN, DEFAULT_SEED, constants=constants) base_data_transform = periodic_transform(base_data) @@ -173,6 +170,7 @@ def test_varying_parameters(): data = periodic_transform(base_data) for dslot in data_slots: assert not np.any(np.isnan(getattr(data, dslot))) - assert not np.array_equal( - getattr(data, dslot), getattr(base_data_transform, dslot) - ) + + assert np.array_equal(data.X, base_data_transform.X) + assert np.array_equal(data.D, base_data_transform.D) + assert not np.array_equal(data.Y, base_data_transform.Y) diff --git a/tests/test_causal_validation/test_transforms/test_trends.py b/tests/test_causal_validation/test_transforms/test_trends.py index 1c9e3da..0994bf7 100644 --- a/tests/test_causal_validation/test_transforms/test_trends.py +++ b/tests/test_causal_validation/test_transforms/test_trends.py @@ -47,9 +47,9 @@ def test_trend_coefficient(degree: int, coefficient: float): data = trend_transform(base_data) if coefficient > 1: - assert np.all(data.Xtr[-1, :] > base_data.Xtr[-1, :]) + assert np.all(data.Y[-1, :] > base_data.Y[-1, :]) elif coefficient < 0: - assert np.all(data.Xtr[-1, :] < base_data.Xtr[-1, :]) + assert np.all(data.Y[-1, :] < base_data.Y[-1, :]) @given(intercept=coefficient_strategy()) @@ -60,9 +60,9 @@ def test_trend_intercept(intercept: float): data = trend_transform(base_data) if intercept > 0: - assert np.all(data.Xtr > base_data.Xtr) + assert np.all(data.Y > base_data.Y) elif intercept < 0: - assert np.all(data.Xtr < base_data.Xtr) + assert np.all(data.Y < base_data.Y) @given( @@ -74,19 +74,16 @@ def test_trend_intercept(intercept: float): ), ) def test_varying_trend(loc: float, scale: float): - constants = TestConstants( - N_CONTROL=2, - ) - data = simulate_data(GLOBAL_MEAN, DEFAULT_SEED, constants=constants) + data = simulate_data(GLOBAL_MEAN, DEFAULT_SEED) sampling_dist = norm(loc, scale) param = UnitVaryingParameter(sampling_dist=sampling_dist) trend = Trend(degree=1, coefficient=0.0, intercept=param) transformed_data = trend(data) - assert not np.array_equal(transformed_data.Xtr[:, 0], transformed_data.Xtr[:, 1]) + assert not np.array_equal(transformed_data.Y[:, 0], transformed_data.Y[:, 1]) trend = Trend(degree=1, coefficient=param, intercept=0.0) transformed_data = trend(data) - assert not np.array_equal(transformed_data.Xtr[:, 0], transformed_data.Xtr[:, 1]) + assert not np.array_equal(transformed_data.Y[:, 0], transformed_data.Y[:, 1]) @given( @@ -99,24 +96,22 @@ def test_varying_trend(loc: float, scale: float): ) @settings(max_examples=5) def test_randomness(loc: float, scale: float): - constants = TestConstants( - N_CONTROL=2, - ) - data = simulate_data(GLOBAL_MEAN, DEFAULT_SEED, constants=constants) - SLOTS = TestConstants().DATA_SLOTS - - for slot in SLOTS: - transformed_datas = [] - for random_state in STATES: - sampling_dist = norm(loc, scale) - param = UnitVaryingParameter( - sampling_dist=sampling_dist, random_state=random_state - ) - trend = Trend(degree=1, coefficient=0.0, intercept=param) - transformed_datas.append(trend(data)) - assert not np.array_equal( - getattr(transformed_datas[0], slot), getattr(transformed_datas[1], slot) - ) - assert not np.array_equal( - getattr(transformed_datas[0], slot), getattr(data, slot) + data = simulate_data(GLOBAL_MEAN, DEFAULT_SEED) + + transformed_datas = [] + for random_state in STATES: + sampling_dist = norm(loc, scale) + param = UnitVaryingParameter( + sampling_dist=sampling_dist, random_state=random_state ) + trend = Trend(degree=1, coefficient=0.0, intercept=param) + transformed_data = trend(data) + transformed_datas.append(transformed_data) + + assert np.array_equal(data.X, transformed_data.X) + assert np.array_equal(data.D, transformed_data.D) + assert not np.array_equal(data.Y, transformed_data.Y) + + assert np.array_equal(transformed_datas[0].X, transformed_datas[1].X) + assert np.array_equal(transformed_datas[0].D, transformed_datas[1].D) + assert not np.array_equal(transformed_datas[0].Y, transformed_datas[1].Y) diff --git a/tests/test_causal_validation/test_validation/test_placebo.py b/tests/test_causal_validation/test_validation/test_placebo.py index 172de83..74447fc 100644 --- a/tests/test_causal_validation/test_validation/test_placebo.py +++ b/tests/test_causal_validation/test_validation/test_placebo.py @@ -12,7 +12,7 @@ import pytest from rich.table import Table -from causal_validation.models import AZCausalWrapper +from causal_validation.estimator.utils import AZCausalWrapper from causal_validation.testing import ( TestConstants, simulate_data, @@ -25,6 +25,9 @@ ) from causal_validation.validation.testing import TestResultFrame +N_PRE_TREATMENT = 50 +N_TIME_POINTS = 100 + def test_schema_coerce(): df = PlaceboSchema.example() @@ -46,7 +49,14 @@ def test_placebo_test( global_mean: float, seed: int, n_control: int, model: tp.Union[DID, SDID] ): # Simulate data with a trend - constants = TestConstants(N_CONTROL=n_control, GLOBAL_SCALE=0.001) + D = np.zeros((N_TIME_POINTS, n_control + 1)) + D[N_PRE_TREATMENT:, -1] = 1 + constants = TestConstants( + TREATMENT_ASSIGNMENTS=D, + DIRICHLET_CONCENTRATION=10000, + N_COVARIATES=0, + GLOBAL_SCALE=0.001, + ) data = simulate_data(global_mean=global_mean, seed=seed, constants=constants) trend_term = Trend(degree=1, coefficient=0.1) data = trend_term(data) @@ -76,7 +86,14 @@ def test_placebo_test( @pytest.mark.parametrize("n_control", [9, 10]) def test_multiple_models(n_control: int): - constants = TestConstants(N_CONTROL=n_control, GLOBAL_SCALE=0.001) + D = np.zeros((N_TIME_POINTS, n_control + 1)) + D[N_PRE_TREATMENT:, -1] = 1 + constants = TestConstants( + TREATMENT_ASSIGNMENTS=D, + DIRICHLET_CONCENTRATION=10000, + N_COVARIATES=0, + GLOBAL_SCALE=0.001, + ) data = simulate_data(global_mean=20.0, seed=123, constants=constants) trend_term = Trend(degree=1, coefficient=0.1) data = trend_term(data) @@ -101,7 +118,10 @@ def test_multiple_models(n_control: int): ) @settings(max_examples=5) def test_multiple_datasets(seeds: tp.List[int]): - data = [simulate_data(global_mean=20.0, seed=s) for s in seeds] + D = np.zeros((N_TIME_POINTS, 40)) + D[N_PRE_TREATMENT:, -1] = 1 + constants = TestConstants(TREATMENT_ASSIGNMENTS=D) + data = [simulate_data(global_mean=20.0, seed=s, constants=constants) for s in seeds] n_data = len(data) model = AZCausalWrapper(DID()) diff --git a/tests/test_causal_validation/test_validation/test_rmspe.py b/tests/test_causal_validation/test_validation/test_rmspe.py index ead1dfa..d5f850d 100644 --- a/tests/test_causal_validation/test_validation/test_rmspe.py +++ b/tests/test_causal_validation/test_validation/test_rmspe.py @@ -13,7 +13,7 @@ from rich.table import Table from causal_validation.effects import StaticEffect -from causal_validation.models import AZCausalWrapper +from causal_validation.estimator.utils import AZCausalWrapper from causal_validation.testing import ( TestConstants, simulate_data, @@ -30,6 +30,9 @@ TestResultFrame, ) +N_TIME_POINTS = 100 +N_PRE_TREATMENT = 50 + def test_schema_coerce(): df = RMSPESchema.example() @@ -58,25 +61,30 @@ def test_rmspe_test_stat( global_mean: float, seed: int, n_control: int, cf_inflate: float, s_inflate: float ): # Simulate data - constants = TestConstants(N_CONTROL=n_control, GLOBAL_SCALE=0.001) + D = np.zeros((1000, n_control + 1)) + D[N_PRE_TREATMENT:, -1] = 1 + constants = TestConstants( + TREATMENT_ASSIGNMENTS=D, + DIRICHLET_CONCENTRATION=10000, + N_COVARIATES=0, + GLOBAL_SCALE=0.001, + ) data = simulate_data(global_mean=global_mean, seed=seed, constants=constants) rmspe = RMSPETestStatistic() - counterfactual = np.concatenate((data.ytr, data.yte), axis=0) + cf_inflate + counterfactual = data.treated_unit_outputs + cf_inflate synthetic = counterfactual - assert rmspe( - data, counterfactual, synthetic, constants.N_PRE_TREATMENT - ) == pytest.approx(1.0) + assert rmspe(data, counterfactual, synthetic, N_PRE_TREATMENT) == pytest.approx(1.0) - synthetic = np.concatenate((data.ytr, data.yte), axis=0) + s_inflate - assert rmspe( - data, counterfactual, synthetic, constants.N_PRE_TREATMENT - ) == pytest.approx(abs(cf_inflate) / abs(s_inflate)) + synthetic = data.treated_unit_outputs + s_inflate + assert rmspe(data, counterfactual, synthetic, N_PRE_TREATMENT) == pytest.approx( + abs(cf_inflate) / abs(s_inflate) + ) - synthetic = np.concatenate((data.ytr, data.yte), axis=0) + synthetic = data.treated_unit_outputs with pytest.raises( ZeroDivisionError, match="Error: pre intervention period MSPE is 0!" ): - rmspe(data, counterfactual, synthetic, constants.N_PRE_TREATMENT) + rmspe(data, counterfactual, synthetic, N_PRE_TREATMENT) @given( @@ -98,7 +106,14 @@ def test_rmspe_test( model: tp.Union[DID, SDID], ): # Simulate data with a trend and effect - constants = TestConstants(N_CONTROL=n_control, GLOBAL_SCALE=0.001) + D = np.zeros((N_TIME_POINTS, n_control + 1)) + D[N_PRE_TREATMENT:, -1] = 1 + constants = TestConstants( + TREATMENT_ASSIGNMENTS=D, + DIRICHLET_CONCENTRATION=10000, + N_COVARIATES=0, + GLOBAL_SCALE=0.001, + ) data = simulate_data(global_mean=global_mean, seed=seed, constants=constants) trend_term = Trend(degree=1, coefficient=0.1) static_effect = StaticEffect(effect=effect) @@ -131,7 +146,14 @@ def test_rmspe_test( @pytest.mark.parametrize("n_control", [9, 10]) def test_multiple_models(n_control: int): - constants = TestConstants(N_CONTROL=n_control, GLOBAL_SCALE=0.001) + D = np.zeros((N_TIME_POINTS, n_control + 1)) + D[N_PRE_TREATMENT:, -1] = 1 + constants = TestConstants( + TREATMENT_ASSIGNMENTS=D, + DIRICHLET_CONCENTRATION=10000, + N_COVARIATES=0, + GLOBAL_SCALE=0.001, + ) data = simulate_data(global_mean=20.0, seed=123, constants=constants) trend_term = Trend(degree=1, coefficient=0.1) data = trend_term(data) @@ -157,7 +179,10 @@ def test_multiple_models(n_control: int): ) @settings(max_examples=5) def test_multiple_datasets(seeds: tp.List[int]): - data = [simulate_data(global_mean=20.0, seed=s) for s in seeds] + D = np.zeros((N_TIME_POINTS, 40)) + D[N_PRE_TREATMENT:, -1] = 1 + constants = TestConstants(TREATMENT_ASSIGNMENTS=D) + data = [simulate_data(global_mean=20.0, seed=s, constants=constants) for s in seeds] n_data = len(data) model = AZCausalWrapper(DID()) diff --git a/tests/test_causal_validation/test_weights.py b/tests/test_causal_validation/test_weights.py deleted file mode 100644 index b409ba3..0000000 --- a/tests/test_causal_validation/test_weights.py +++ /dev/null @@ -1,63 +0,0 @@ -from hypothesis import ( - given, - strategies as st, -) -import numpy as np - -from causal_validation.weights import UniformWeights - - -@given( - n_units=st.integers(min_value=1, max_value=100), - n_time=st.integers(min_value=1, max_value=100), -) -def test_uniform_weights(n_units: int, n_time: int): - weights = UniformWeights() - data = np.random.random(size=(n_time, n_units)) - weight_vals = weights.get_weights(data) - np.testing.assert_almost_equal(np.mean(weight_vals), weight_vals, decimal=6) - assert weight_vals.shape == (n_units, 1) - - -@given( - n_units=st.integers(min_value=1, max_value=100), - n_time=st.integers(min_value=1, max_value=100), -) -def test_weight_contr(n_units: int, n_time: int): - obs = np.ones(shape=(n_time, n_units)) - weighted_obs = UniformWeights()(obs) - np.testing.assert_almost_equal(np.mean(weighted_obs), weighted_obs, decimal=6) - np.testing.assert_almost_equal( - obs @ UniformWeights().get_weights(obs), weighted_obs, decimal=6 - ) - - -@given( - n_units=st.integers(min_value=1, max_value=10), - n_time=st.integers(min_value=1, max_value=10), - n_covariates=st.integers(min_value=1, max_value=5), -) -def test_weight_contr_3d(n_units: int, n_time: int, n_covariates: int): - covariates = np.ones(shape=(n_time, n_units, n_covariates)) - weights = UniformWeights() - weighted_covs = weights.weight_contr(covariates) - - assert weighted_covs.shape == (n_time, 1, n_covariates) - expected = np.einsum( - "n d k, d i -> n i k", covariates, weights.get_weights(covariates) - ) - np.testing.assert_almost_equal(weighted_covs, expected, decimal=6) - - -def test_weights_sum_to_one(): - obs = np.random.random((10, 5)) - weights = UniformWeights() - weight_vals = weights.get_weights(obs) - np.testing.assert_almost_equal(weight_vals.sum(), 1.0, decimal=6) - - -def test_weights_non_negative(): - obs = np.random.random((10, 5)) - weights = UniformWeights() - weight_vals = weights.get_weights(obs) - assert np.all(weight_vals >= 0)