{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "3ae332a0", "metadata": {}, "outputs": [], "source": [ "import numpy as np" ] }, { "cell_type": "code", "execution_count": 5, "id": "aa7bbab6", "metadata": { "scrolled": false }, "outputs": [], "source": [ "sound_data = np.random.rand(100)" ] }, { "cell_type": "code", "execution_count": 6, "id": "626eafc7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([0.66709183, 0.55973494, 0.95416669, 0.60810949, 0.05188879,\n", " 0.58619063, 0.25555136, 0.72451477, 0.2646681 , 0.08694215,\n", " 0.75592186, 0.67261696, 0.62847452, 0.06232598, 0.20549438,\n", " 0.11718457, 0.25184725, 0.48625729, 0.8103058 , 0.18100915,\n", " 0.81113341, 0.62055231, 0.9046905 , 0.56664205, 0.73235338,\n", " 0.74382869, 0.64856368, 0.80644398, 0.46199345, 0.78516632,\n", " 0.91298397, 0.48290914, 0.20847714, 0.99162659, 0.26374781,\n", " 0.3602381 , 0.07173351, 0.8584085 , 0.32248766, 0.39167573,\n", " 0.67944923, 0.00930429, 0.21714217, 0.58810089, 0.17668711,\n", " 0.57444803, 0.25760187, 0.43785728, 0.39119371, 0.68268063,\n", " 0.95954499, 0.45934239, 0.03616905, 0.23896063, 0.61872801,\n", " 0.76332531, 0.96272817, 0.57169277, 0.50225193, 0.01361629,\n", " 0.15357459, 0.8057233 , 0.0642748 , 0.95013941, 0.38712684,\n", " 0.97231498, 0.20261775, 0.74184693, 0.26629893, 0.84672705,\n", " 0.67662718, 0.96055977, 0.64942314, 0.66487937, 0.86867536,\n", " 0.40815661, 0.1139344 , 0.95638066, 0.87436447, 0.18407227,\n", " 0.64457074, 0.19233097, 0.24012179, 0.90399279, 0.39093908,\n", " 0.26389161, 0.97537645, 0.14209784, 0.75261696, 0.10078122,\n", " 0.87468408, 0.77990102, 0.92983283, 0.45841805, 0.61470669,\n", " 0.87939755, 0.09266009, 0.41177209, 0.46973971, 0.43152144])" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sound_data" ] }, { "cell_type": "code", "execution_count": null, "id": "ef55bee9", "metadata": {}, "outputs": [], "source": [ "synonyms = {\n", " 'hot': ['blazing', 'boiling', 'heated'],\n", " 'airplane': ['aircraft', 'airliner', \n", " 'cab', 'jet', 'plane'],\n", " 'beach': ['coast', 'shore', 'waterfront'],\n", " # ...\n", "}" ] } ], "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": "3.11.3" } }, "nbformat": 4, "nbformat_minor": 5 }