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author | Arturs Artamonovs <arturs.artamonovs@protonmail.com> | 2024-10-26 23:21:13 +0100 |
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committer | Arturs Artamonovs <arturs.artamonovs@protonmail.com> | 2024-10-26 23:21:13 +0100 |
commit | e3a7f5bafec6715cd11555c39925665c78029dd9 (patch) | |
tree | 9d5077923249353d7b47c7a07c9aaee34b6bf110 /IQ/Lab/TestIQ.ipynb | |
parent | f3f0f90a51412d1684b43be6f2b5f93cb4154ee0 (diff) | |
download | PrySDR-e3a7f5bafec6715cd11555c39925665c78029dd9.tar.gz PrySDR-e3a7f5bafec6715cd11555c39925665c78029dd9.zip |
Added old lab files for modulations and IQ tests
Diffstat (limited to 'IQ/Lab/TestIQ.ipynb')
-rw-r--r-- | IQ/Lab/TestIQ.ipynb | 408 |
1 files changed, 408 insertions, 0 deletions
diff --git a/IQ/Lab/TestIQ.ipynb b/IQ/Lab/TestIQ.ipynb new file mode 100644 index 0000000..13f8249 --- /dev/null +++ b/IQ/Lab/TestIQ.ipynb @@ -0,0 +1,408 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "id": "149d2b94-085c-49ea-8e1c-032cbd35b55c", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pylab as pylab\n", + "import matplotlib.pyplot as plot\n", + "import scipy.fftpack\n", + "from scipy.signal import butter,filtfilt\n", + "\n", + "SAMPLE_TOTAL=128" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "95f729f7-5575-4c8b-9ba6-4ed465a9c05f", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a7e1ab7c-5122-4715-8a44-f31630463fdc", + "metadata": {}, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: '../out/out_freq_100.s8'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[5], line 5\u001b[0m\n\u001b[1;32m 3\u001b[0m FILE_IN_FREQ10 \u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../out/out_freq_10.s8\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 4\u001b[0m FILE_IN_FREQ1 \u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m../out/out_freq_1.s8\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 5\u001b[0m sample_freq100 \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mfromfile(FILE_IN_FREQ100, np\u001b[38;5;241m.\u001b[39mint8, count\u001b[38;5;241m=\u001b[39mSAMPLE_TOTAL\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m)\u001b[38;5;241m.\u001b[39mastype(np\u001b[38;5;241m.\u001b[39mfloat32)\u001b[38;5;241m.\u001b[39mview(np\u001b[38;5;241m.\u001b[39mcomplex64)\n\u001b[1;32m 6\u001b[0m sample_freq10 \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mfromfile(FILE_IN_FREQ10, np\u001b[38;5;241m.\u001b[39mint8, count\u001b[38;5;241m=\u001b[39mSAMPLE_TOTAL\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m)\u001b[38;5;241m.\u001b[39mastype(np\u001b[38;5;241m.\u001b[39mfloat32)\u001b[38;5;241m.\u001b[39mview(np\u001b[38;5;241m.\u001b[39mcomplex64)\n\u001b[1;32m 7\u001b[0m sample_freq1 \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mfromfile(FILE_IN_FREQ1, np\u001b[38;5;241m.\u001b[39mint8, count\u001b[38;5;241m=\u001b[39mSAMPLE_TOTAL\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m)\u001b[38;5;241m.\u001b[39mastype(np\u001b[38;5;241m.\u001b[39mfloat32)\u001b[38;5;241m.\u001b[39mview(np\u001b[38;5;241m.\u001b[39mcomplex64)\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../out/out_freq_100.s8'" + ] + } + ], + "source": [ + "#frequency test\n", + "FILE_IN_FREQ100=\"../out/out_freq_100.s8\"\n", + "FILE_IN_FREQ10 =\"../out/out_freq_10.s8\"\n", + "FILE_IN_FREQ1 =\"../out/out_freq_1.s8\"\n", + "sample_freq100 = np.fromfile(FILE_IN_FREQ100, np.int8, count=SAMPLE_TOTAL*2).astype(np.float32).view(np.complex64)\n", + "sample_freq10 = np.fromfile(FILE_IN_FREQ10, np.int8, count=SAMPLE_TOTAL*2).astype(np.float32).view(np.complex64)\n", + "sample_freq1 = np.fromfile(FILE_IN_FREQ1, np.int8, count=SAMPLE_TOTAL*2).astype(np.float32).view(np.complex64)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3253e9c2-3325-4bf4-9da1-fbc71a262f56", + "metadata": {}, + "outputs": [], + "source": [ + "#amplitude test\n", + "FILE_IN_AMP05 =\"../out/out_amp_05.s8\"\n", + "FILE_IN_AMP10 =\"../out/out_amp_10.s8\"\n", + "FILE_IN_AMP15 =\"../out/out_amp_15.s8\"\n", + "sample_amp05 = np.fromfile(FILE_IN_AMP05, np.int8, count=SAMPLE_TOTAL*2).astype(np.float32).view(np.complex64)\n", + "sample_amp10 = np.fromfile(FILE_IN_AMP10, np.int8, count=SAMPLE_TOTAL*2).astype(np.float32).view(np.complex64)\n", + "sample_amp15 = np.fromfile(FILE_IN_AMP15, np.int8, count=SAMPLE_TOTAL*2).astype(np.float32).view(np.complex64)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "03528f6f-7d6f-48ea-b7ff-f6de6660b585", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/fam/downloads/ML/install/anaconda3/lib/python3.9/site-packages/numpy/core/_asarray.py:102: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return array(a, dtype, copy=False, order=order)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/fam/downloads/ML/install/anaconda3/lib/python3.9/site-packages/numpy/core/_asarray.py:102: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return array(a, dtype, copy=False, order=order)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/fam/downloads/ML/install/anaconda3/lib/python3.9/site-packages/numpy/core/_asarray.py:102: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return array(a, dtype, copy=False, order=order)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "xf = np.linspace(0.0,1.0/(SAMPLE_TOTAL*2),SAMPLE_TOTAL)\n", + "plot.plot(xf,sample_freq100)\n", + "plot.title(\"SIgnal freq100\")\n", + "plot.show()\n", + "\n", + "xf = np.linspace(0.0,1.0/(SAMPLE_TOTAL*2),SAMPLE_TOTAL)\n", + "plot.plot(xf,sample_freq10)\n", + "plot.title(\"SIgnal freq10\")\n", + "plot.show()\n", + "\n", + "xf = np.linspace(0.0,1.0/(SAMPLE_TOTAL*2),SAMPLE_TOTAL)\n", + "plot.plot(xf,sample_freq1)\n", + "plot.title(\"SIgnal freq1\")\n", + "plot.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e95a71cb-7929-4455-9e78-3107f27c8db4", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/fam/downloads/ML/install/anaconda3/lib/python3.9/site-packages/numpy/core/_asarray.py:102: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return array(a, dtype, copy=False, order=order)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/fam/downloads/ML/install/anaconda3/lib/python3.9/site-packages/numpy/core/_asarray.py:102: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return array(a, dtype, copy=False, order=order)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/fam/downloads/ML/install/anaconda3/lib/python3.9/site-packages/numpy/core/_asarray.py:102: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return array(a, dtype, copy=False, order=order)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "xf = np.linspace(0.0,1.0/(SAMPLE_TOTAL*2),SAMPLE_TOTAL)\n", + "plot.plot(xf,sample_amp05)\n", + "plot.title(\"SIgnal amplitude 0.5\")\n", + "plot.show()\n", + "\n", + "xf = np.linspace(0.0,1.0/(SAMPLE_TOTAL*2),SAMPLE_TOTAL)\n", + "plot.plot(xf,sample_amp10)\n", + "plot.title(\"SIgnal amplitude 1.0\")\n", + "plot.show()\n", + "\n", + "xf = np.linspace(0.0,1.0/(SAMPLE_TOTAL*2),SAMPLE_TOTAL)\n", + "plot.plot(xf,sample_amp15)\n", + "plot.title(\"SIgnal amplitude 1.5\")\n", + "plot.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "10734774-9f48-44c2-99c5-444f35c88939", + "metadata": {}, + "outputs": [], + "source": [ + "#test all u/s 8/16\n", + "FILE_IN_S8=\"../out/out.s8\"\n", + "FILE_IN_U8=\"../out/out.u8\"\n", + "FILE_IN_U16=\"../out/out.u16\"\n", + "FILE_IN_S16=\"../out/out.s16\"\n", + "sample_s8 = np.fromfile(FILE_IN_S8, np.int8, count=SAMPLE_TOTAL*2).astype(np.float32).view(np.complex64)\n", + "sample_u8 = np.fromfile(FILE_IN_U8, np.uint8, count=SAMPLE_TOTAL*2).astype(np.float32).view(np.complex64)\n", + "sample_s16 = np.fromfile(FILE_IN_S16, np.int16, count=SAMPLE_TOTAL*2).astype(np.float32).view(np.complex64)\n", + "sample_u16 = np.fromfile(FILE_IN_U16, np.uint16, count=SAMPLE_TOTAL*2).astype(np.float32).view(np.complex64)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "ce8aa73b-fb8d-49e8-9232-6b7c4938f898", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/fam/downloads/ML/install/anaconda3/lib/python3.9/site-packages/numpy/core/_asarray.py:102: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return array(a, dtype, copy=False, order=order)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/fam/downloads/ML/install/anaconda3/lib/python3.9/site-packages/numpy/core/_asarray.py:102: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return array(a, dtype, copy=False, order=order)\n" + ] + }, + { + "data": { + "image/png": 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eiEv7f1hBVjo3VBdqso+zfe19OB3CnhiO9Jot/LnS9zpytk0AN9cGZyW+pBOF4iZcCo9nAgDYu7GUo11DukR0HO1vv8QN1YUUZEVv7Z/FlBVksWl1PvtOaAKIlG0TwObyAlzZ6bx4WkcNxMu+E/1sWp1PWUFWXK97+4ZgwvmZlgzj4tLIBK1dPm6PY/NP2N66UprPD+ricBGybQJwOoSb1hXxku4VHBejE36azw/GvfQPsLWigOLcDB0hEifhRLu3blXcr723rpSpaaM1+wjZNgFAsB+gY/CKbhUZBy+dHmBq2liSABwO4fa6UvafvKRzP+Jgf/slinMz2BqFnb+W6oaaQrLTnVrbi5CtE4D2A8TPvvZ+stOd3FBTaMn199aVMjg6ydFunyXXt4tAIDjS67YNJTFZ/G0xmWlOdq3Vmn2kbJ0ANqzKoyQvQ/sB4mD/yX721BaTmea05Pq3hEajvHBKbwyxdKxniIHRSfZujH9NL+zmdcW0945op38EbJ0ARISba0t46cyATh6JoXOXRjk/MGbpTaE0P5O6sjxN9jEWHul12wbr3us94Zq91gIWZesEAMHSQu/QBGcujVodSsoKj8u+3cKbAgTf6+Zzl5n067IQsbLvRD/1lS5K8jIti2FrRQH5WWm8pMl+UbZPAOHSgm4cEjv72/tZU5xDTUmupXHcXFvClalpjnR6LY0jVQ2NT3HwwmVLhn/OlOZ0cOPaYv2bjoDtE8Ca4hwqXFlaWoiRQMDwytnBq4nWSjetK0IEXtR+gJh48dQA/oCxZPjnbDfXFnN+YIwu7xWrQ0lotk8A4X6Al88M6hDBGDjRO8zwuJ9dNUVWh4I7J4Mt5QXaDxAjL5y6RG6Gk6Zqt9WhXOsH0FrAghZNACJSJSL/LSLHRaRNRD4WerxIRJ4RkZOhr4UzzvmkiJwSkRMicncs/wPRcHNtMYOjk5zo1UWkou3AuUGAhEgAELwxHLrgZXxKdwmLtgPnBrmhpoh0p/Xlyo1l+RTl6gi/xUTyTvmB3zfGbAZuAj4iIluATwDPGWM2AM+Ffib0u/cAW4G3AP8sItaM/YvQzdoPEDMHzl1mdUEWnsLYbQm4FHtqS5icDvCaLg8dVb6xKU70DrNrjTXzPGZzOISb1xXz0mkd4beQRROAMabHGHMw9P0wcByoBO4HHg0d9ijwQOj7+4FvGmMmjDFngVPA7ijHHVWV7mxqinO0HyDKjDEcODvIrrVFcVkTPhK71hbhdIiWDKOs+fwgxgRf30Sxe20RPb5x7QdYwJLqaiJSAzQBrwBlxpgeCCYJINzzUwl0zDitM/TY7Od6SESaRaS5v9/6ads31xbzyplB/LpzVNR0Xr7CxaFxdlk0+3cueZlp1Fe6ePXsoNWhpJQD5y6T7hS2V7mtDuWqcLNjuBlS/byIE4CI5AH/CfyuMWZooUPneOzn6mDGmEeMMTuNMTtLS60dHw7BIYLDE37auhf6r6mlSLT2/7Ad1YW0dPp0m8goOnBukPpKF1npidPau3F1PvmZabx6Vpv75hNRAhCRdII3/68ZY74berhXRMpDvy8H+kKPdwJVM073AAm/K/fN67QfINoOnBskPyuNjWX5VodynaZqNxP+AK/rzlFRMT41TUunN6GafyC44u8NNYU0aw1gXpGMAhLgi8BxY8znZvzqceADoe8/APxgxuPvEZFMEVkLbABejV7IsVGan8m60lz9sETRq2cH2bmm0JJFwRayI9RReahDS4bRcKTDy9S0YXeC1fQgWPs82TfC5dFJq0NJSJHUAG4Bfgl4o4gcDv17K/AZ4C4ROQncFfoZY0wb8BhwDPgx8BFjTFKMudu1pojm85d1PkAUDIxMcLp/NOFKhQAVrixW5WfqRvFREm7quyFBRgDNFG5+bNb3ek5pix1gjHmeudv1Ae6c55yHgYdXEJcldq0t4lvNHZzsG2Hj6sRqtkg24T+4RCwVighN1W4OdXitDiUlvHruMhvL8nHnZFgdys9p8LjIcDo4cG6Qu7aUWR1OwrF+xkYCCd+sXtVmoBU7cHaQjDQH9R6X1aHMqam6kPMDYwyM6JLBKxEIGA6dv8zOBBrpNVNWupPGKh31NR9NADNUFWWzKj9T+wGi4MD5y2z3uC1b/38xO6pD/QAXvNYGkuRO9o0wPOFPyOafsJ01RRzt8nFlMilaouNKE8AMIsKutUUc0NLCioxN+mnr8rFrbeLeFOorXTgdoh3BK3ToQvD1a6pO3Pd6d00R/oDR93oOmgBm2bWmkG7fOJ2XdZ/g5Tp0wYs/YNiZgO3/YdkZTjaX52sNYIUOXfBSmJNOTXGO1aHMS2t789MEMEt41ErzOS0tLNeBc4OIJOaokJl2VBdypMPLtI76WraDFy7TVF2YMEt9zMWVk05tae7V2oq6RhPALJtWFwRnD2o/wLIdODfI5tUFFGSlWx3Kgpqq3YxOTtOuq8Aui+/KFCf7RmhKoOUf5tNUXcihC15dGG4WTQCzOB3CjjU6e3C5pqYDHDzvTaj1f+bTVKVNAyvREtpZLZHb/8N2VBcyMDrJhUFt2p1JE8AcmqrdnOwbYXTCb3UoSedY9xBXpqYTcgLYbGuKcyjKzeCgNg0sy6ELXkSgsSoxh/rOFN6kRpP99TQBzKHB48IYONrlszqUpJOoC8DNRURoqnJr2/AyHbxwmbpV+eQneFMfQF1ZPrkZTn2vZ9EEMIf6SjcArZoAluzQBS+V7mzKCrKsDiUiTdVuTveP4hubsjqUpGKM4dAFb0Js/xgJp0NorNLZ37NpAphDaX4mFa4sjnRqAliqli5vQq0Jv5jwEMHDofZsFZmzl0bxXZlKmgQAwWR/rHtItwOdQRPAPBo87qudXCoyg6OTdAxeSdjlH+bSUOVGBF0YbonCbenJ0AEc1lRViD9gtGY/gyaAedR7XJwfGNOmgSUI/2E1JFECyMsM7legTQNL09rlIyfDSW1pntWhROxaR7Am+zBNAPNo9LiBYJOGikxL6Ca6rTJ5EgAEbwyHL+gy4EtxpNPLttByGsmiOC+TNcU5HDzvtTqUhKEJYB71oZtYi/YDRKyly8e60tyEnwA2W1N1IUPjfs5cGrE6lKQwNR3gWPcQDUmW6CFYsNOm3Ws0AczDFVrfRD8skWvp9CblTWFHqGlAS4aRae8dZsIfoCGJOvvDGjwuun3j9A/rMuCgCWBBDR43rVoDiEjv0Di9QxM0hJrOksm6kjzys9I4osk+IuFacWMS9fWEhT+frdq0C2gCWJCWFiIXvikkUwdwmMMh1Fe6tLkvQi2dPlzZ6VQXJe4KoPPZWlGAQ7RpN0wTwALCpQVtBlpcS6cXh8DWiuRLABAc9fX6xSEm/DpGfDEtnV4aPK6EXgF0PrmZaaxflacJIEQTwAK0tBC5lk4fdWX5ZGck5g5gi2n0uJmaNrzeoyuDLmR8apoTF4evDpJIRsE5Pj5dGRRNAAu6VlrwWh1KQjPGXC0VJquro750ktCCjvcM4Q+YpOzrCWvwuLg0MkGPb9zqUCynCWARDR43rV1aWlhI5+UrXB6boj6JbwqewmyKcjOuzmVQc0vGyX6zadPuNZoAFhEsLUzSraWFeSXzqJAwEaHBox3BiznS4aMkL5NyV3Is9jeXTavzSXOIvtdoAljU1WFjWlqYV0uXlwyng42r860OZUUaKl2c7BtmbFL3gZhPa1fydgCHZaU72VSerwkATQCLCpcWdGXQ+bV0+NhUnk9mWnJ2AIc1eNwEDLR1D1kdSkIanfBzqm8kqZt/wuorgzOC7d60qwlgEddKC16rQ0lIgYDhaJcvJW4K4f+Dlgzn1tY9RMBcWycrmTV6XAyN+zk/YO8tIjUBRCBYWtCO4LmcHRhleMJPQ2gTnWS2qiCL1QVZmuznEX5dkmm57/lc7Qi2+agvTQARaPS4GB73c87mpYW5hJfKaEiCfWEjUe9x6fIf8zjS6aPSnU1JXqbVoazYhrI8MtMcth/1pQkgAjpsbH5HOr1kpTtYn0Trwi+k0ePiTGi3K3W91k5vUk8Amynd6WBrRYHWAKwOIBlcLS1oyfDntHT62FbhIs2ZGh+l8FyGNpvfGGbzjU1xbmAsZWp6ECzYHe3yMW3jfSAW/asVkS+JSJ+IHJ3x2J+JSJeIHA79e+uM331SRE6JyAkRuTtWgcfT1dKC1gCu458O0NbtS4k24bDwctY66ut6VyeApUBfT1iDx8XY5DSn++27D0QkxbavAG+Z4/HPG2O2h/79CEBEtgDvAbaGzvlnEUnusYEhwdLCkK1LC7Od7BthfCqQEqNCwgpzM6guytHlgmcJL5WdKk1AoKO+IIIEYIzZDwxG+Hz3A980xkwYY84Cp4DdK4gvYTR4XFyZmuZUn31LC7OFO0tTqQYAwf/PkQ773hTm0trpo6Y4B1dOcu32tpB1JXnkZjhtXbNfScPtb4tIS6iJqDD0WCXQMeOYztBjP0dEHhKRZhFp7u/vX0EY8XGttOC1NpAEcqTTS35mGmuLc60OJaoaPS66vFcYGNF9IMKCi/25rQ4jqhwOYZvN94FYbgL4F6AW2A70AP839Phc88PnbDMxxjxijNlpjNlZWlq6zDDi51ppwb4fltlau3xsq3ThSKKNwSNRH2rntvsIkbD+4Qm6feMpMdlvtsYqN8d6hpj0B6wOxRLLSgDGmF5jzLQxJgD8K9eaeTqBqhmHeoDulYWYGK6WFvSmAMCEf5rjPUMpNSokbFtlASLBJS7Ute0TU60GAME+jUl/gPZee+4DsawEICLlM358BxAeIfQ48B4RyRSRtcAG4NWVhZg4GqvcHO+2b2lhphMXh5maNinVARyWn5XOupJc7QgOOdLhC+32VmB1KFHXeHWOjz2TfdpiB4jIN4A3ACUi0gn8KfAGEdlOsHnnHPAbAMaYNhF5DDgG+IGPGGNSZo+9Bo+LyelAcEekFKwOL0V4mGQqjQqZqdHj5menLmGMSeqVL6OhtcvH+lV55GYuertIOlVF2bhz0kPJvtrqcOJu0XfUGPPeOR7+4gLHPww8vJKgElXD1bZhr+0TQGunl6LcDDyF2VaHEhP1HhffPdRF79AEq5N47fuVCu/29oaNq6wOJSZEhPpK+476So3pm3ESLi1o23Cwylxfmdzrwi8k3N59xOajvnp841wamUzJDuCwRo+bE73DjE+lTGNFxDQBLEG4tGD3juCxST/tvcNJvQPYYrZWFOB0iO0XhgsPe07FDuCweo+L6YDhWI/99oHQBLBEjR437TYtLYQdC60Ln8x7AC8mK91JXVm+7WsALZ0+0hzCpiTf7W0hVzuCbbgyqCaAJdpWWcB0wPD6RXsOG4NrHcCp3CwAwQlhrV323geipTO421tWekqs6DKnsoJMSvMzbVmz1wSwRFsrgje9ozb8sIS1dnopK8ikrCC1O0frPS68Y1N0DF6xOhRLhDuA61NoAbi5iAiNHnvOCNYEsESewmxc2em23je2tcuXssM/Z2q0eUfw+YExhsb9Kd3XE1Zf6eZ0/wgjE36rQ4krTQBLJCJsKS/gWLf9SgsQ7AA+c2n0ak0oldWV5ZPhdFxdCtlujtigAzisocqFMfar2WsCWIZtlQUcvzjM1LT9ZgQf7xnGmNScFTpbRpqDzRUFHLFh5yAEb4aZaQ42lKXGbm8LCe8DYbfFHjUBLMPWiuD6IXbcSKItVPPZZoMmIAjeGI52+QjYcB+Io11DbFqdT3qK7Pa2kOK8TCrd2bbrB0j9dzYGwqXfti779QO0dQ1RmJNOuU1mxzZ4XIxOTnPmkr2SvTGGtm4fW22S6AEaq+zXEawJYBnWleaRle6wZUdwW4+PrRWpOwN4tgabLhbWefkKQ+N+WzT1hW2tcHFhcAzflSmrQ4kbTQDL4HQIm8sLrjaH2MWkP0D7xRG2VtrnprB+VR45NtwHIvzZtkNnf1g42R2zUcFOE8Ayba0oCM6ItVHb8Mm+YSanA7a6KTgdwtaKAtuNBGrrHsKZ4jOAZwt/ru1UsNMEsExbK1wMT/jpuDxmdShxE27yslOzAATf6+M9Q0zbKNm3dQ+xvjQvpWcAz1aan0lZQabWANTitl0tLdjnw3Kse4jcDGfK7QG8mC0VBYxNTnNuYNTqUOLmaJfPdokegsn+qNYA1GLqVueR7hRbNQ20dfvYXF6QcnsAL8Zuyb5/eIK+4Qm22DIBFHC6f9Q2iz1qAlimzDQnG1fn22a54EDAcKx7yJalwg1leWQ4HbTZJNnbsQM4bGuFvRZ71ASwAg0eNy2dXlusFnluYJTRyWlb3hTSnQ7qVufZpgYQ/n/aswZgr45gTQAr0FDpYmjcz/mB1O8IDg+DbKiyXwIA2Fruoq3bHktDt3X7qC7KwZWdbnUocRde7PGoTSZ5agJYATttG9jS6SMr3cH60tRfF2Yu2yoLuDw2RY9v3OpQYq7Npk19YL/FHjUBrMCGsjwy0xy26Ado6fSyrcJFmg3WhZnLFpvsA+Ebm+L8wJht1nqay9YK+yz2aM+/5ihJdzrYWlGQ8rNE/dMB2rqHqLfBuvDz2Vyej0jqjwRq6fIC1/ZCsKNtlfZZ7FETwAo1eNwc7fal9CShU/0jXJmatvVNIScjjdrS1O8IDhdm7LDhz3y2hZY6sUPNXhPACjV4XIxNTqd0aeHqTcHGNQAIL/+R2jeFlk4vNcU5uHLs1wEctrYkj9wMpy3m+GgCWKGrHcEpvGlIS6eX/Mw0280Anm1bhYtu3zgDIxNWhxIzrZ0+6m1c04Pg+k/bKu2xNLQmgBVaV5JLXmZaSpcWWjp9bKt02W4G8GzhjtFUfa/7hyfo9o3bYg/gxTR4XBzrGWLSn9odwZoAVsjhELZVFnAkRUsLE/5pjvcM2Xb8/0zbKgsQSd29AVpDHcB22AN4MQ0ed3D5897UnhGsCSAKGjxujqdoaeHExWGmpo2tO4DD8rPSWVeSm7IJ4EiHD4fYb7XXuTR4wnsEp+Z7HaYJIAoaPK6ULS3oqJDrNYaW/0hFLZ1e1q/KIzczzepQLBeeCZ2q73WYJoAoaKh0A6lZWmjp9FKUm4GnMNvqUBJCvcdF3/AEF1NsRrAxhtYuH/Whz7LdiQgNntTvCF40AYjIl0SkT0SOznisSESeEZGToa+FM373SRE5JSInROTuWAWeSKqKsnHnpGZpoaXTR32lffYAXsy1PYK9lsYRbd2+cS6NTNKofT1XNXhcnOgdTumloSOpAXwFeMusxz4BPGeM2QA8F/oZEdkCvAfYGjrnn0Uk5bcUEhHqU3DY2JXJadp7h3VUyAxbKwpwOiTl3uvWUELTpr5r6ivdTAcMx3pSd/LfognAGLMfGJz18P3Ao6HvHwUemPH4N40xE8aYs8ApYHd0Qk1sjR53ypUW2rp9BAy2Hxc+U1a6k7qyfFpSbCjokU4faQ5hc7l2AIeFa0MtKTzHZ7l9AGXGmB6A0NdVoccrgY4Zx3WGHvs5IvKQiDSLSHN/f/8yw0gcDR4X0wGTUksFXF0CWmsA12n0uFJuH4jWTh8bV+fbag/gxawuyKIkLzPlkv1M0e4EnquheM6/EmPMI8aYncaYnaWlpVEOI/7CbcOtKdQ23NLppawgk7KCLKtDSSj1HhfesSk6Bq9YHUpUGGNo6fTq+P9ZRCSU7DUBzNYrIuUAoa99occ7gaoZx3mA7uWHlzxWu7JYlZ+ZUh+Wlk6f3hTmEJ4TEV45M9mdHxhjaNyvfT1zaPC4Od0/wsiE3+pQYmK5CeBx4AOh7z8A/GDG4+8RkUwRWQtsAF5dWYjJo8HjSpnq4tD4FGcujepNYQ51ZflkOB0pk+zDGxrZfbG/uTR4XBiTuvtARDIM9BvAS8BGEekUkQ8BnwHuEpGTwF2hnzHGtAGPAceAHwMfMcakTq/oIlKptHD06gqgbmsDSUAZaQ42VxSkzFDQlk4fmWkO6sryrQ4l4YSTYqouDb3olD9jzHvn+dWd8xz/MPDwSoJKVvUzSgs3rSu2OpwVCddkGnRY4JwaKl1871AXgYBJ+kXyWjt9bKkoIN2mu70tpCQvk0p3dspu+6rveBSFb5apUDJs6fRSVZRNYW6G1aEkpAaPi5EJP2cujVodyopMBwxHu3261tMCGjyulF0BVhNAFBWHSgup0DasHcALS5UZwaf7RxibnNYJYAuo97g4PzCGd2zS6lCiThNAlDVWJf+wsYGRCTovX9HmnwWsX5VHdroz6d/r8EZGugTE/K6O+kry93oumgCirMHj5sLgGJdHk7e0cLX9X2sA83KG9oFI9hpAa5eP3Awn60ryrA4lYaXyRkCaAKKsIQU+LK2dPkSubY6t5tbgcdPWPcTUdPLuA3FEd3tblCs7nbUluSm57asmgCjb5kn+juCWTi/rSnLJz7LvxuCRaPC4mPAHONk7YnUoyzLpD3C8Z4jGKrfVoSS8+srU7AjWBBBlBSmwa1RLp44KiUSydwS39w4z6Q9oB3AEGjwuenzj9A2n1j4QmgBiIJk3krjoG6dveEJnhUagpjiH/Ky0pN0POjy2XZP94sK1pFSbEKYJIAbqPW4uDo3TN5R8pYXwTUE7gBd3bdcor9WhLEtrpw93TjpVRbrb22K2VhTgEJI22c9HE0AMNCbxhtKtnT6cDmGLrgsfke1Vbk5cHObKZPKteHJEd3uLWE5GGhtW5afUar+gCSAmtoRKC8m4MNyRTi91ZflkZ+i68JFoqirEHzBJ10E4PhXe7c1tdShJoz7UtJtK+0BoAoiBnIw06sryOZxkw8bCG4PrBLDIba92A3DowmVrA1mitu4hpgNG+3qWoNHjYmB0km5f8jXtzkcTQIw0VRdy+MJlAoHkKS10DF7BOzZFg84KjVhJXibVRTkcuuC1OpQladUO4CULr4ybSltEagKIkaZqN0PjybVY2NUO4Eq3pXEkmx3Vbg5euJxUTQMtnT5K8zMpK8i0OpSksbk8n3SnJGXT7nw0AcTIjupCAA4mUdPAoQtestIdbCrXdeGXoqm6kL7hiaRqGjjS6aXRox3AS5GZ5mTj6vykHfU1F00AMbKuJJeCrLSkaho41HGZhkq3rgu/RE1J1g8wHNrtrV5rekvW4HHT0ulLqqbdhehfeow4HML26sKkuSlM+Kdp6xq6ejNTkdtcXkBmmoOD571WhxKRQxe8GIO+18vQUOlieNzP+cExq0OJCk0AMdRU5aa9dzgptohs6x5icjqgN4VlSHc6aPC4ONSRHMn+wLlBHAI71hRaHUrSSfblP2bTBBBDO9YUEjDJMWog3FTVVK03heVoqi6krWuICX/iTwg7cG6QrRUu8jIX3RFWzVJXFtwHIpmadheiCSCGtodKC4eSIgFcptKdTVlBltWhJKUd1W4mpwMc6x6yOpQFTfoDHLrgZVdNkdWhJKU0p4Omajevnh20OpSo0AQQQ66cdGpLc5OiH+DQBe/VSU1q6ZqujvryWhvIIo52+5jwB9hVozW95dpVU8TrF4cYGp+yOpQV0wQQYzuqCzl4wZvQY8T7hsbp8l6hSdeFX7aygiwqXFkJn+wPhEquO7UGsGy71xYRMHDwfGK/15HQBBBjO9YUMjg6ydkEnhAWLrVqp+DKNK0pTPi24QPnBllbkktpvk4AW67tVW6cDuHAueRvBtIEEGPhqnbzucQtLRzquEyG08HWCl0BdCWaqtx0ea8k7DLggYCh+fxlbf5ZodzMNLZVFHAggf+mI6UJIMZqS/Moys3g1QQuLRw672VLRQGZaboC6Eokej/Aqf4RvGNT2gEcBbtqijjc4U2KUV8L0QQQYyLCzjWFCVtdnPBPc7jTq6XCKNhaUUC6UxJ2PkB45IomgJXbWVPEpD+Q9DuEaQKIg101RZwfGEvIpoGWTh+T/oDeFKIgK93J1goXhxJ0RnDzuUFK8zNZU5xjdShJL1xgSvZmIE0AcbBrbfDmmogflnDNREeFREdTtZuWLi9T0wGrQ/k5B84F2/91AbiVK87LpLY0N2Fr9pHSBBAHWysKyE53JuSH5cDZQdavCvZTqJVrqi5kfCrAiYvDVodynS7vFbq8V7SmF0W71xZx4Nwg00m8MJwmgDhID80eTLQEMH11VIjeFKJlR2gyXaItA958Ttv/o+2mdcUMj/tp607efoAVJQAROScirSJyWESaQ48VicgzInIy9FV7Fwn+4R3vGWI4gWYPnrg4zPC4XzuAo6jSnU1pfiavJdgkoVfPDpKXmcbmch3qGy031xYD8OLpAYsjWb5o1ADuMMZsN8bsDP38CeA5Y8wG4LnQz7a3qyY4ezCRbgzN57VUGG0iwu61Rbx8ZiChZn83n7vMjjWFOB3a/h8tq/KzWL8qj5dsngBmux94NPT9o8ADMbhG0mmqdpPmEF5JoEWkXj07SLkrC09httWhpJQ9tcX0Dk0kzOxv79gkJ3qH2a01vajbU1vMgXODTPoTr9M/EitNAAb4iYi8JiIPhR4rM8b0AIS+rprrRBF5SESaRaS5v79/hWEkvtzMNBqr3AlTWjDGcODcIDtrinRUSJTtqS0BEqdpIDwLXUd6Rd+e2mLGJqeTdn+AlSaAW4wxO4B7gI+IyO2RnmiMecQYs9MYs7O0tHSFYSSHPbXFtHb5EqIf4MLgGL1DE1oqjIGa4hzKXVkJk+wPnB8k3Sls18X+ou7GtcWIJE6yX6oVJQBjTHfoax/wPWA30Csi5QChr30rDTJV3LyumOmASYjRQPvbg7WuWzfYI/nGk4hw87piXj4zkBB7xx44O0h9pYusdF3qI9oKczPYvLogYZL9Ui07AYhIrojkh78H3gwcBR4HPhA67APAD1YaZKrYsaaQjDQHL56y/sOyr72f6qIcanRWaEzcXFvMwOgk7X3WzgcYHp+ipdPHjeuKLY0jle2pLea1C5cZn0q+dYFWUgMoA54XkSPAq8CTxpgfA58B7hKRk8BdoZ8VwaUCbqgutLy6OOkP8OLpAW6vK9H2/xi5OkTQ4mT/4ukB/AHD3jqt6cXKzbXFTPoDSbk/wLITgDHmjDGmMfRvqzHm4dDjA8aYO40xG0JfrW/vSCA31xZz/OIQl0cnLYuh+fwgY5PT7K2bs39eRYGnMIfqohxeOmNtAtjX3k9eZho7dK/nmNm9tginQyx/r5dDZwLH2Z7aYoyBV85a92HZ195PulOullJVbOypDfYDWLVUgDGGfSf6ubm2mIw0/VOPlfysdOorXZbX7JdDPxVx1uBxk5PhtPTDsu9EPzesKSQvM82yGOzglvUlDI/7OWLREMEzl0bp8l7R5p842FNbzJEOLyMTfqtDWRJNAHGWkeZgV00RL5y6ZMn1e4fGef3isDb/xMGt60sQCSZcK4Svqwkg9m6uLcafICP8lkITgAVu21DC6f5g6SzewsM/9aYQe4W5GTR63Ow/aVECaO9nXUkuVUU60ivWdq4pIt0pvJxkzUCaACwQvvmGb8bxtP/kJUrzM9lcnh/3a9vR3rpSjnR48Y7Ft9N/fGqaV84OcLsm+rjIznDSlAAj/JZKE4AF1q/Ko8KVFfemgemA4Wcn+7l9Q6kO/4yT2+tKCRh4Ps5Nfq+eHWR8KsDejZoA4uXmdcUc7fbhG7N+pn+kNAFYQETYu7GUF05diuvOUS2dXrxjU3pTiKNGjwtXdnrck/2+9n4y0hzctFZHesVLIozwWypNABa5fUMpwxN+Dl3wxu2a+9svIQK3rS+J2zXtLs3p4NYNJew/2R/X5aH3t/dz49oisjN0+Yd42V7tJivdkVTNQJoALLJnfQlOh8S1H2Bfex8NHjeFuv1jXO2tK6V3aIITvfFZFqLLe4WTfSPa0R9nmWlO9tSW8Myx3oRYAyoSmgAs4spOZ0e1m31xSgC+sSkOd3j1pmCB8Gv+3PH4rIsYLlRoB3D83dtQTpf3Coc6kmNZCE0AFtpbV0prl49LIxMxv9bzpy4RMDr80wplBVk0Vbt5sqUnLtfb395PuSuLDavy4nI9dc1dW8rISHPwwyPxea9XShOAhe7YFJyM9cyx3phfa197HwVZaTR6XDG/lvp59zVUcKxniNP9IzG9ztR0gOdPXmJvnY70skJ+Vjp3bCzlydYey5YAWQpNABbaUl7A2pJcfnikO6bXmQ4Yfnqin1s3lJDm1LfcCm9rKEcEnohxyfBwh5fhCb82/1jovsYK+ocnkmI0kN4NLCQi3NdQzstnBugbHo/Zdfaf7KdveIL7Gipidg21sLKCLHbXFPHDlu6Yjgbad6Ifp0O4RUd6WeaNm1aRne7kiTg1+a2EJgCL3dtYQcDAU60XY3aNbzd3UJSbwZ2by2J2DbW4exsrONU3ErPRQMYYfnS0hxvWFOLKTo/JNdTicjLSeNOWMp5q7YnrPJ/l0ARgsbqyfDaW5fNES2yagQZGJnjmWC/vaKrUJYEtds+21TgdErMmv9fOX+ZM/yi/eIMnJs+vIndfQzmXx6YSfk6A3hESwH2N5Rw4d5nuGCwO971DXUxNGx7cWRX151ZLU5KXyZ7aYn5wuDsm48Qfa+4gN8PJ2+rLo/7camn2biwlPzMt5v17K6UJIAHcG2qbj3YtwBjDY80dNFa52bhaF39LBO/c4aHz8hVejvLuUSMTfp5o6eHehgpydZ8Hy2WmOXnz1tU83XaRCX/i7hWsCSAB1JTksr3KzTdf7YhqyfBIp4/23hHeraX/hPGWbavJz0rjseaOqD7vj1p6GJuc5sFd+l4ninsbyxke97O/3Zq9PyKhCSBB/MotNZy5NMpP26M3W/Sx5g6y0h3c26hNAokiK93J/dsreOroRXxXordq5LeaO6gtzWVHtTtqz6lW5tb1Jbhz0hO6GUgTQIJ4a305qwuy+OLzZ6PyfFcmp/nh4W7eWl9OQZaOCEkk795ZzYQ/wONRujG8fnGI185f5t27qnTyVwJJdzq4Z1s5zx7v5cpkYjYDaQJIEOlOB7+8Zw0vnBrg9YtDK36+p472MDzh1+afBLStsoDN5QU8diA6zUBfev4sWekO7ehPQPc1lDM2Oc2zx2M/2385NAEkkPftriYr3cGXolAL+NaBDmqKc9i9tigKkaloEhEe3OmhtctHa6dvRc91aWSC7x/u5p07PLhzdJXXRHPjumKqi3L4wr7TcV0OPFKaABKIOyeDd+7w8P1D3Vz0LX9m8LlLo7xydpB37dQmgUT1Czs8FGSl8ffPta/oeb728gUm/QF+9da1UYpMRZPTIXzszg20dQ/xdFvsJnsulyaABPObe2sJGMM//vfJZT/HY80dOCQ45FAlJld2Og/dvo5nj/dxuMO7rOeY8E/z7y+f546NpdSW6sqfieqBpkrWlebyuWfaE26BOE0ACaaqKIcHd1XxrQMddF4eW/L5Xd4rfOXFc7x5y2pWu7JiEKGKlg/espbCnHQ+98zyagHfO9jFpZEJPnTruihHpqLJ6RB+9011tPeOxGzG/3JpAkhAv/PG9YgI/++5U0s+99OPtxEwhk+9bXMMIlPRlJeZxoffUMv+9n4OnBtc0rm+sSn+5ukTNFW7uWW97vub6O6tL2djWT6fe6ad8anEGRGkCSABlbuyed/uar5zsJOzl0YjPu/ZY7385FgvH7uzjqqinBhGqKLll26qoTQ/kz/+/tElDRX866dfx3tliocfqNd+niTgcAj/+97NnB8Y4wv7TlsdzlWaABLUb91RS3a6k49/6zCT/sVXFBwen+JPH2+jriyPX7tNOwSTRXaGk799VyMneof51PdbIxopcvDCZb7+ygU+uKeGLRUFcYhSRcNtG0q5t6Gcf/7p6SUV7GJJE0CCWpWfxd++q4HDHV4efvLYgscaY/iD77RwcWicv3pHPem66UtS2VtXysfu3MB3D3bxjVcXnhswMDLBH3ynhdUFWXz8rro4Raii5Y/v3UKm08Gf/OBoQgwLjdmdQkTeIiInROSUiHwiVtdJZW/ZVs6v3bqWR186z3++1jnvcV98/ixPHb3IH9y9kZ01Ou4/GX30jRu4va6UP3386LxbhPYNj/OeR16m8/IYn3t3I3m66FvSKSvI4vffXMfPTl7i88+0W54EYpIARMQJ/BNwD7AFeK+IbInFtVLdH96zid01Rfz+t4/wye+2MDR+bf2YvuFxvvzCWT7z1Ou8eUsZD92uo0GSlcMh/L/3NrGlwsWH/+M1nmq9tpvU6ISfJ1q6ec8jL9PlvcKXP7ibPbW641ey+uWba3hwp4d/+K9TfPbpE5YmAYnFxUXkZuDPjDF3h37+JIAx5v/MdfzOnTtNc3Nz1ONIFVcmp/n8s+3828/OUJCdTmleJtMBw9mBUYyBRo+Lr37oRt0FKgUMj0/xwS8f4HCHl3UluRigY3CMCX+AVfmZ/NP7d7BLa3lJLxAw/PEPjvK1Vy7w67et5VNvW175WEReM8bsXG4csapDVgIzGzM7gRtnHiAiDwEPAVRXV8cojNSQneHkj966mbfVl/PlF84yGdpm7v7tldxTv5oNq/J0JEiKyM9K56u/upu/efrE1X2ib99Qyt1by9hZU4TToe9zKnA4hL98YBsZaQ5LJ/HFqgbwLuBuY8yvhX7+JWC3MeZ35jpeawBKKbV0K60BxKoTuBOYuTShB0isKXBKKWVzsUoAB4ANIrJWRDKA9wCPx+haSimlliEmfQDGGL+I/DbwNOAEvmSMaYvFtZRSSi1PzAYSG2N+BPwoVs+vlFJqZXTKqFJK2ZQmAKWUsilNAEopZVOaAJRSyqZiMhFsyUGI9APnV/AUJcClKIUTbYkaW6LGBRrbcmlsy5PMsa0xxpQu98kTIgGslIg0r2Q2XCwlamyJGhdobMulsS2PnWPTJiCllLIpTQBKKWVTqZIAHrE6gAUkamyJGhdobMulsS2PbWNLiT4ApZRSS5cqNQCllFJLpAlAKaXsyhhj+T/gLcAJ4BTwiTl+L8A/hH7fAuxY7FygCHgGOBn6Wjjjd58MHX+C4MY1CREbUANcAQ6H/n3BgtjeBbQBAWDnrOeL6HWLZ1wJ8pr9DfB66PjvAe4E+qzNGVuCvG5/ETr2MPAToCKBXrc5Y0uE123G7/8nYICS5bxuxhjrEwDB5aJPA+uADOAIsGXWMW8Fngq9WDcBryx2LvDZ8IsGfAL469D3W0LHZQJrQ+c7EyS2GuCoxa/bZmAj8FOuv9FG9LpZEFcivGZvBtJC3/91gn3W5ostEV63ghnnf5TQzTRBXrf5YrP8dQv9vorgcvvnCSWApbxu4X+J0AS0GzhljDljjJkEvgncP+uY+4GvmqCXAbeIlC9y7v3Ao6HvHwUemPH4N40xE8aYswSz5e4EiW0pYhKbMea4MebEHNeL9HWLd1xLEavYfmKM8YfOf5ngDnjh57L0s7ZAbEsRq9iGZpyfS7A0G34uq1+3+WJbiljdPwA+D/zBrLiW8roBidEHMNcG8pURHrPQuWXGmB6A0NdVS7ieVbEBrBWRQyKyT0RumyeuWMa2kutZERck1mv2qwRLdJFez6rYIAFeNxF5WEQ6gPcDf7KE61kVG1j8uonI24EuY8yRZVzvOomQAGSOx2Zn2/mOieTc5VxvKcdGM7YeoNoY0wT8HvB1ESlIkNgiPce2r5mIfArwA19bwvWsii0hXjdjzKeMMVWhuH57CdezKjZLXzcRyQE+xfUJaSnXu04iJIBINpCf75iFzu0NVaUIfe1bwvUsiS1UdRsIff8awTa8ujjHNp9Iz4lrXInymonIB4B7gfcbY8J/dInwWZsztkR53Wb4OvDOJVzPktgS4HWrJdi+f0REzoUePygiq5fw/7nGRNCZEct/BLelPBP6T4U7O7bOOuZtXN9R8upi5xIc/TCzo/Wzoe+3cn1HyRnm72CKd2yl4VgIdv50AUXxjG3GuT/l+s7WiF43C+Ky/DUjOFrjGFA667kS4bM2X2yJ8LptmHH+7wDfSaDXbb7YLH/dZp1/jmudwBG/blfPX+iX8fpHsCe8nWA2/VTosd8EfjP0vQD/FPp9K9ffAH7u3NDjxcBzBIdaPjfzTSJYhTpNcKjUPYkSG8FSRlvoTTwI3GdBbO8gWJKYAHqBp5f6usUzrgR5zU4RbHs9zKyhgQnwWZsztgR53f4TOEpw+OMPgcoEet3mjC0RXrdZz3+O64eBRvy6GWN0KQillLKrROgDUEopZQFNAEopZVOaAJRSyqY0ASillE1pAlBKKZvSBKCUUjalCUAppWzq/wP1rU7cJBGluwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "xf = np.linspace(0.0,1.0/(SAMPLE_TOTAL*2),SAMPLE_TOTAL)\n", + "plot.plot(xf,sample_s8)\n", + "plot.title(\"Signal s8\")\n", + "plot.show()\n", + "\n", + "xf = np.linspace(0.0,1.0/(SAMPLE_TOTAL*2),SAMPLE_TOTAL)\n", + "plot.plot(xf,sample_u8)\n", + "plot.title(\"SIgnal u8\")\n", + "plot.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "3fc79261-e245-4449-a803-3babbd99d7a1", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/fam/downloads/ML/install/anaconda3/lib/python3.9/site-packages/numpy/core/_asarray.py:102: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return array(a, dtype, copy=False, order=order)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/fam/downloads/ML/install/anaconda3/lib/python3.9/site-packages/numpy/core/_asarray.py:102: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return array(a, dtype, copy=False, order=order)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "xf = np.linspace(0.0,1.0/(SAMPLE_TOTAL*2),SAMPLE_TOTAL)\n", + "plot.plot(xf,sample_s16)\n", + "plot.title(\"Signal s16\")\n", + "plot.show()\n", + "\n", + "xf = np.linspace(0.0,1.0/(SAMPLE_TOTAL*2),SAMPLE_TOTAL)\n", + "plot.plot(xf,sample_u16)\n", + "plot.title(\"SIgnal u16\")\n", + "plot.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b56619a-9601-49c5-87ff-8e722f984131", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} |