diff --git a/new-edition-drafts/jupyter-notebooks/daily-speech-practice.ipynb b/new-edition-drafts/jupyter-notebooks/daily-speech-practice.ipynb index 48e91b14..aa588baf 100644 --- a/new-edition-drafts/jupyter-notebooks/daily-speech-practice.ipynb +++ b/new-edition-drafts/jupyter-notebooks/daily-speech-practice.ipynb @@ -59,6 +59,8 @@ "# how many versions needed.\n", "number_of_choices = 3\n", "\n", + "# your openai subscription might not support gpt-4...\n", + "# gpt-3.5 is ok too.\n", "rspd_translation = client.chat.completions.create(\n", " model=\"gpt-4\",\n", " messages=[\n", diff --git a/new-edition-drafts/jupyter-notebooks/edge-tts.ipynb b/new-edition-drafts/jupyter-notebooks/edge-tts.ipynb new file mode 100644 index 00000000..33b41aaa --- /dev/null +++ b/new-edition-drafts/jupyter-notebooks/edge-tts.ipynb @@ -0,0 +1,162 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "b94f103d-ac43-4d13-83cb-eb5090220881", + "metadata": {}, + "source": [ + "# EdgeTTS\n", + "\n", + "https://github.com/rany2/edge-tts\n", + "\n", + "edge-tts is a Python module that allows you to use Microsoft Edge's online text-to-speech service from within your Python code or using the provided edge-tts or edge-playback command." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "77deb08f-fec3-4327-b2f9-1c893aacaddc", + "metadata": {}, + "outputs": [], + "source": [ + "!pip install edge-tts\n", + "!pip install pygame" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9aad6634-e833-4ec4-b285-84e051329712", + "metadata": {}, + "outputs": [], + "source": [ + "import asyncio\n", + "import edge_tts\n", + "import pygame\n", + "\n", + "TEXT = \"\"\"\n", + "Once upon a time, the King's youngest son became filled with the desire to go abroad, and see the world.\n", + "\"\"\"\n", + "\n", + "VOICE = \"en-US-GuyNeural\" # Male\n", + "# VOICE = \"en-US-AnaNeural\" # Female\n", + "# VOICE = \"en-US-AndrewNeural\" # Male\n", + "# VOICE = \"en-US-AriaNeural\" # Female\n", + "# VOICE = \"en-US-AvaNeural\" # Female\n", + "# VOICE = \"en-US-BrianNeural\" # Male\n", + "# VOICE = \"en-US-ChristopherNeural\" # Male\n", + "# VOICE = \"en-US-EmmaNeural\" # Female\n", + "# VOICE = \"en-US-EricNeural\" # Male\n", + "# VOICE = \"en-US-GuyNeural\" # Male\n", + "# VOICE = \"en-US-JennyNeural\" # Female\n", + "# VOICE = \"en-US-MichelleNeural\" # Female\n", + "# VOICE = \"en-US-RogerNeural\" # Male\n", + "# VOICE = \"en-US-SteffanNeural\" # Male\n", + "# VOICE = \"en-GB-LibbyNeural\" # Female\n", + "# VOICE = \"en-GB-MaisieNeural\" # Female\n", + "# VOICE = \"en-GB-RyanNeural\" # Male\n", + "# VOICE = \"en-GB-SoniaNeural\" # Female\n", + "# VOICE = \"en-GB-ThomasNeural\" # Male\n", + "# VOICE = \"en-AU-NatashaNeural\" # Female\n", + "# VOICE = \"en-AU-WilliamNeural\" # Male\n", + "# VOICE = \"en-CA-ClaraNeural\" # Female\n", + "# VOICE = \"en-CA-LiamNeural\" # Male\n", + "\n", + "OUTPUT_FILE_NAME = f\"{VOICE}_{TEXT[:15]}.mp3\"\n", + "\n", + "OUTPUT_FILE = f\"{OUTPUT_FILE_NAME}.mp3\"\n", + "WEBVTT_FILE = f\"{OUTPUT_FILE_NAME}.vtt\"\n", + "\n", + "communicate = edge_tts.Communicate(TEXT, VOICE)\n", + "await communicate.save(OUTPUT_FILE)\n", + "\n", + "submaker = edge_tts.SubMaker()\n", + "with open(OUTPUT_FILE, \"wb\") as file:\n", + " async for chunk in communicate.stream():\n", + " if chunk[\"type\"] == \"audio\":\n", + " file.write(chunk[\"data\"])\n", + " elif chunk[\"type\"] == \"WordBoundary\":\n", + " submaker.create_sub((chunk[\"offset\"], chunk[\"duration\"]), chunk[\"text\"])\n", + "\n", + "with open(WEBVTT_FILE, \"w\", encoding=\"utf-8\") as file:\n", + " file.write(submaker.generate_subs())\n", + "\n", + "print(\"Files created!\") " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "862f0948", + "metadata": {}, + "outputs": [], + "source": [ + "pygame.mixer.init()\n", + "pygame.mixer.music.load(OUTPUT_FILE)\n", + "pygame.mixer.music.play()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6a73c84c-e221-4f2e-982a-0312929ffba4", + "metadata": {}, + "outputs": [], + "source": [ + "!pip install amfm_decompy" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bc271b37-fdf4-4888-bf46-31086b2299f3", + "metadata": {}, + "outputs": [], + "source": [ + "import amfm_decompy.basic_tools as basic\n", + "import amfm_decompy.pYAAPT as pYAAPT\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "#load audio 注意必须是wav\n", + "signal = basic.SignalObj(\"/Users/joker/Desktop/Speaking Training/The Case Against Education/Clips/Chapter 01 (Selection) 01.wav\")\n", + "\n", + "#pYAAPT pitches 生成pitches文件\n", + "pitch = pYAAPT.yaapt(signal, frame_length = 40, tda_frame_length=40,f0_min=75, f0_max=600)\n", + "\n", + "#plot \n", + "plt.plot(pitch.samp_values)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f6a4cae2-78c1-4211-ac7b-e4339c95d945", + "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": "3.8.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/new-edition-drafts/jupyter-notebooks/ja-daily-speech-practice.ipynb b/new-edition-drafts/jupyter-notebooks/ja-daily-speech-practice.ipynb new file mode 100644 index 00000000..e20fdd02 --- /dev/null +++ b/new-edition-drafts/jupyter-notebooks/ja-daily-speech-practice.ipynb @@ -0,0 +1,161 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "f330d08f-fa3c-4cf4-bf53-136be20393e9", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# Install or update openai modules \n", + "%pip install openai\n", + "# %pip install --upgrade openai\n", + "%pip install edge-tts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "71ad2e48-3b33-42d3-8e4c-9f89c61110de", + "metadata": {}, + "outputs": [], + "source": [ + "# Load Modules\n", + "from openai import OpenAI\n", + "import IPython\n", + "from datetime import datetime\n", + "import asyncio\n", + "import edge_tts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a492b90-fa90-4d8b-934a-05d0cc2ff2c1", + "metadata": {}, + "outputs": [], + "source": [ + "client = OpenAI(\n", + " # replace openai api key below (which is invalid) with your own\n", + " api_key=\"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\" \n", + ")\n", + "\n", + "role_definition = \"\"\"\n", + "你是我的日语教练。\n", + "请将我的话改写成日文。\n", + "不需要逐字翻译。\n", + "请分析清楚我的内容，而后用英文重新逻辑清晰地组织它。\n", + "请使用地道的日语，东京腔调。\n", + "yb xm使用敬语。\n", + "每个句子最长不应该超过 20 个字。\n", + "\"\"\"\n", + "\n", + "user_prompt = \"\"\"\n", + "人们对高管、首席执行官或庞大业务部门的领导者有不一样的憧憬。\n", + "他们认为，在那个级别的每个人都有足够的经验和智慧，至少看起来知道自己在做什么。\n", + "他们假定那里有深思熟虑、战略和长远思考，以及握手言和的合理交易。\n", + "但有些时候，它是高中；甚至有些时候，它是幼儿园。\n", + "\"\"\"\n", + "\n", + "# how many versions needed.\n", + "number_of_choices = 3\n", + "\n", + "# your openai subscription might not support gpt-4...\n", + "# gpt-3.5 is ok too.\n", + "rspd_translation = client.chat.completions.create(\n", + " model=\"gpt-4\",\n", + " messages=[\n", + " {\n", + " \"role\": \"system\", \n", + " \"content\": role_definition\n", + " },\n", + " {\n", + " \"role\": \"user\", \n", + " \"content\": user_prompt\n", + " }\n", + " ],\n", + " n = number_of_choices \n", + ")\n", + "\n", + "for rspd in rspd_translation.choices:\n", + " print(f\"{rspd.index+1}.\\n{rspd.message.content}\\n\\n\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d28f1714-bdbe-4f29-b52c-56a07af6d60e", + "metadata": {}, + "outputs": [], + "source": [ + "# Or else, you could rewrite your own version for open ai tts\n", + "your_version = \"\"\"\n", + "\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "927a94e4-40ec-47d9-8e39-c69e5c5205d9", + "metadata": {}, + "outputs": [], + "source": [ + "TEXT = \"\"\"\n", + "人々は、高位の経営者、CEO、大きなビジネス部門のリーダーに対して夢想を抱くものです。\n", + "そのレベルの人々が、少なくとも行っていることを理解しているかのように見える程度の経験と知恵を持っていると思われます。\n", + "深い思考、戦略、長期的な思考、そして適切な取引のための握手があると想定されます。\n", + "しかし、時にはそれは高校レベルのもので、ある時は幼稚園レベルのものさえあります。\n", + "\"\"\"\n", + "# VOICE = \"ja-JP-KeitaNeural\" # male\n", + "VOICE = \"ja-JP-NanamiNeural\" # female\n", + "\n", + "OUTPUT_FILE_NAME = f\"{VOICE}_{TEXT[:15]}.mp3\"\n", + "\n", + "OUTPUT_FILE = f\"{OUTPUT_FILE_NAME}.mp3\"\n", + "WEBVTT_FILE = f\"{OUTPUT_FILE_NAME}.vtt\"\n", + "\n", + "communicate = edge_tts.Communicate(TEXT, VOICE)\n", + "await communicate.save(OUTPUT_FILE)\n", + "\n", + "submaker = edge_tts.SubMaker()\n", + "with open(OUTPUT_FILE, \"wb\") as file:\n", + " async for chunk in communicate.stream():\n", + " if chunk[\"type\"] == \"audio\":\n", + " file.write(chunk[\"data\"])\n", + " elif chunk[\"type\"] == \"WordBoundary\":\n", + " submaker.create_sub((chunk[\"offset\"], chunk[\"duration\"]), chunk[\"text\"])\n", + "\n", + "with open(WEBVTT_FILE, \"w\", encoding=\"utf-8\") as file:\n", + " file.write(submaker.generate_subs())\n", + "\n", + "print(f\"Audio files created: {OUTPUT_FILE}\")\n", + "\n", + "IPython.display.Audio(OUTPUT_FILE)" + ] + } + ], + "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": "3.8.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/new-edition-drafts/jupyter-notebooks/parselmouth.ipynb b/new-edition-drafts/jupyter-notebooks/parselmouth.ipynb index d8bc4b5e..05407613 100644 --- a/new-edition-drafts/jupyter-notebooks/parselmouth.ipynb +++ b/new-edition-drafts/jupyter-notebooks/parselmouth.ipynb @@ -7,12 +7,12 @@ "metadata": {}, "outputs": [], "source": [ - "!pip install praat-parselmouth eng-to-ipa" + "!pip install praat-parselmouth eng-to-ipa numpy matplotlib" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "20b96d14-2302-4335-bb56-7f25e64efa81", "metadata": {}, "outputs": [], @@ -26,21 +26,10 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "cf3bbd3e-e344-448b-9e5c-7e92fedd218d", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'wən ɪz səˈsteɪnd ɪnˈtaɪərli baɪ ˌsɪstəˈmætɪk ˈlɑʤɪkəl prəˈsiʤərz, ðə ˈəðər baɪ kənˈsɛnʃuəl ˌvɛrəfəˈkeɪʃən baɪ kənˈtɛmpərˌɛriz, baɪ ðɛr ˈprɛdəˌsɛsərz ˌrɛprɪˈzɛnɪd θru prɪˈveɪlɪŋ trəˈdɪʃənz, ər baɪ pɑˈstɛrəti fər ðoʊz hu ɪkˈspɛkt hɪˈstɔrɪk vɪndəˈkeɪʃən.'" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "text = \"One is sustained entirely by systematic logical procedures, the other by consensual verification by contemporaries, by their predecessors represented through prevailing traditions, or by posterity for those who expect historic vindication.\"\n", "ipa.convert(text)\n", @@ -51,59 +40,20 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "f8cf9d9a-5eb3-40dd-8e4e-86269c3e9286", "metadata": {}, "outputs": [], "source": [ - "sound_file = \"sample_one.mp3\"" + "sound_file = \"/Users/joker/Library/Mobile Documents/com~apple~CloudDocs/iDesktop/Enjoying-English-Drafts/audios/yet-it-is-a-fact.mp3\"" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "862e3987-61bb-4e8c-8796-819b9de787c3", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAigAAAGiCAYAAADNzj2mAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAA2w0lEQVR4nO3de3SU9YH/8c+QGzGSiUGTEIWIqFzkIguYpLCWCiVgRKm4VRYQW46ecoIIEYpsRZbWGkR3tXiBdU+PugehrXuKChykLJhQVwIKIoKKmuUX0JiESpNAhBCS+f2RzjQTJslM5pl5vjN5v87JSTLX7zOX7/N5vrfH4XK5XAIAADBID7sLAAAA0BYBBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYJ6CAsnbtWg0fPlzJyclKTk5Wbm6utm3b5rn+3LlzKigoUO/evXXppZdq+vTpqqqq8nqM48ePKz8/X5dcconS0tK0ZMkSXbhwwZqtAQAAUSGggHLVVVdp1apV2r9/vz744APdcsstuuOOO3TkyBFJ0qJFi7R582a9/vrrKikpUUVFhe68807P/ZuampSfn6/z58/rvffe06uvvqpXXnlFjz32mLVbBQAAIpoj2JMFpqam6qmnntJdd92lK664Qhs2bNBdd90lSfrss880ePBg7dmzRzk5Odq2bZtuu+02VVRUKD09XZK0bt06LV26VCdPnlR8fHzwWwQAACJebFfv2NTUpNdff1319fXKzc3V/v371djYqIkTJ3puM2jQIPXr188TUPbs2aNhw4Z5wokk5eXlad68eTpy5IhGjhzp87kaGhrU0NDg+b+5uVmnTp1S79695XA4uroJAAAgjFwul06fPq3MzEz16NFxJ07AAeXjjz9Wbm6uzp07p0svvVSbNm3SkCFDdPDgQcXHxyslJcXr9unp6aqsrJQkVVZWeoUT9/Xu69pTVFSklStXBlpUAABgoBMnTuiqq67q8DYBB5SBAwfq4MGDqq2t1X//939rzpw5Kikp6XIh/bFs2TIVFhZ6/q+trVW/fv104sQJJScnh/S5AQCANerq6tS3b1/16tWr09sGHFDi4+N17bXXSpJGjRql999/X7/5zW9099136/z586qpqfFqRamqqlJGRoYkKSMjQ/v27fN6PPcsH/dtfElISFBCQsJFl7tnEwEAgMjhz/CMoNdBaW5uVkNDg0aNGqW4uDjt3LnTc93Ro0d1/Phx5ebmSpJyc3P18ccfq7q62nObHTt2KDk5WUOGDAm2KAAAIEoE1IKybNkyTZkyRf369dPp06e1YcMGFRcXa/v27XI6nZo7d64KCwuVmpqq5ORkPfjgg8rNzVVOTo4kadKkSRoyZIhmz56t1atXq7KyUo8++qgKCgp8tpAAAIDuKaCAUl1drXvvvVfffPONnE6nhg8fru3bt+uHP/yhJOmZZ55Rjx49NH36dDU0NCgvL08vvvii5/4xMTHasmWL5s2bp9zcXCUlJWnOnDn65S9/ae1WAQCAiBb0Oih2qKurk9PpVG1tLWNQAACIEIHsvzkXDwAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjBNQQCkqKtKYMWPUq1cvpaWladq0aTp69KjXbcaPHy+Hw+H187Of/czrNsePH1d+fr4uueQSpaWlacmSJbpw4ULwWwMAAKJCbCA3LikpUUFBgcaMGaMLFy7oX/7lXzRp0iR98sknSkpK8tzu/vvv1y9/+UvP/5dcconn76amJuXn5ysjI0PvvfeevvnmG917772Ki4vTE088YcEmAQCASOdwuVyurt755MmTSktLU0lJiW6++WZJLS0oN954o5599lmf99m2bZtuu+02VVRUKD09XZK0bt06LV26VCdPnlR8fPxF92loaFBDQ4Pn/7q6OvXt21e1tbVKTk7uavEBAEAY1dXVyel0+rX/DmoMSm1trSQpNTXV6/LXXntNl19+uYYOHaply5bpu+++81y3Z88eDRs2zBNOJCkvL091dXU6cuSIz+cpKiqS0+n0/PTt2zeYYgMAAMMF1MXTWnNzsxYuXKixY8dq6NChnsv/+Z//WVlZWcrMzNShQ4e0dOlSHT16VH/84x8lSZWVlV7hRJLn/8rKSp/PtWzZMhUWFnr+d7egAACA6NTlgFJQUKDDhw/r3Xff9br8gQce8Pw9bNgw9enTRxMmTFBZWZkGDBjQpedKSEhQQkJCV4sKAAAiTJe6eObPn68tW7bonXfe0VVXXdXhbbOzsyVJX375pSQpIyNDVVVVXrdx/5+RkdGV4gAAgCgTUEBxuVyaP3++Nm3apF27dql///6d3ufgwYOSpD59+kiScnNz9fHHH6u6utpzmx07dig5OVlDhgwJpDgAACBKBdTFU1BQoA0bNujNN99Ur169PGNGnE6nEhMTVVZWpg0bNujWW29V7969dejQIS1atEg333yzhg8fLkmaNGmShgwZotmzZ2v16tWqrKzUo48+qoKCArpxAACApACnGTscDp+Xv/zyy7rvvvt04sQJzZo1S4cPH1Z9fb369u2rH/3oR3r00Ue9phOVl5dr3rx5Ki4uVlJSkubMmaNVq1YpNta/vBTINCUAAGCGQPbfQa2DYhcCCgAAkSds66AAAACEAgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYJ6CAUlRUpDFjxqhXr15KS0vTtGnTdPToUa/bnDt3TgUFBerdu7cuvfRSTZ8+XVVVVV63OX78uPLz83XJJZcoLS1NS5Ys0YULF4LfGgAAEBUCCiglJSUqKChQaWmpduzYocbGRk2aNEn19fWe2yxatEibN2/W66+/rpKSElVUVOjOO+/0XN/U1KT8/HydP39e7733nl599VW98soreuyxx6zbKgAAENEcLpfL1dU7nzx5UmlpaSopKdHNN9+s2tpaXXHFFdqwYYPuuusuSdJnn32mwYMHa8+ePcrJydG2bdt02223qaKiQunp6ZKkdevWaenSpTp58qTi4+M7fd66ujo5nU7V1tYqOTm5q8UHAABhFMj+O6gxKLW1tZKk1NRUSdL+/fvV2NioiRMnem4zaNAg9evXT3v27JEk7dmzR8OGDfOEE0nKy8tTXV2djhw54vN5GhoaVFdX5/UDAACiV5cDSnNzsxYuXKixY8dq6NChkqTKykrFx8crJSXF67bp6emqrKz03KZ1OHFf777Ol6KiIjmdTs9P3759u1psAAAQAbocUAoKCnT48GH97ne/s7I8Pi1btky1tbWenxMnToT8OQEAgH1iu3Kn+fPna8uWLdq9e7euuuoqz+UZGRk6f/68ampqvFpRqqqqlJGR4bnNvn37vB7PPcvHfZu2EhISlJCQ0JWiAgCACBRQC4rL5dL8+fO1adMm7dq1S/379/e6ftSoUYqLi9POnTs9lx09elTHjx9Xbm6uJCk3N1cff/yxqqurPbfZsWOHkpOTNWTIkGC2BQAARImAWlAKCgq0YcMGvfnmm+rVq5dnzIjT6VRiYqKcTqfmzp2rwsJCpaamKjk5WQ8++KByc3OVk5MjSZo0aZKGDBmi2bNna/Xq1aqsrNSjjz6qgoICWkkAAICkAKcZOxwOn5e//PLLuu+++yS1LNT28MMPa+PGjWpoaFBeXp5efPFFr+6b8vJyzZs3T8XFxUpKStKcOXO0atUqxcb6l5eYZgwAQOQJZP8d1DoodiGgAAAQecK2DgoAAEAoEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAACi3vrSco1dtUvrS8vtLgr8REABAES9tcVl+rrmrNYWl9ldFPiJgAIAiHrzxg/QlSmJmjd+gN1FgZ8cLpfLZXchAlVXVyen06na2lolJyfbXRwAAOCHQPbftKAAAADjEFAAAFGPQbKRh4ACAIh6DJKNPAQUAEDUY5Bs5GGQLAAACAsGyQIAgIhGQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQBEvQUbP9SAZVu1YOOHdhcFfiKgAACi3tZDFWpySW99VMEZjSMEAQUAEPXyh2d6/uaMxpGBgAIAiHprZozU49OGckbjCMLZjDuxvrRca4vLNG/8AM3KyQrpcwEAEM04m7GFnt5+VF/XnNXT24/aXRQAALoNAkonGi40e/0GAESm9aXlGrtqF4NkIwQBpRMJsT28fgMAItPa4jJ9XXOWQbIRgr1uJxbnDdSVKYlanDfQ7qIAAIIwb/wABslGEAbJAgCAsGCQrMXotwQAILxi7S6AydxTjOsbLqjmbKPWFpcx1RgAgDCgBaUD7gFVkui3BAAgjAgoHXAPqFqcN1D/+8gttJ4AFqP7FEB7CCgdmJWTRTABQohpnwgnAnFkIaAAsA3TPhFOBOLIwiBZALaZlZNFCyXCZt74AZ5zq8F8Abeg7N69W1OnTlVmZqYcDofeeOMNr+vvu+8+ORwOr5/Jkyd73ebUqVOaOXOmkpOTlZKSorlz5+rMmTNBbQgAAB2h2z6yBBxQ6uvrNWLECL3wwgvt3mby5Mn65ptvPD8bN270un7mzJk6cuSIduzYoS1btmj37t164IEHAi99mNBvCQBAeAXcxTNlyhRNmTKlw9skJCQoIyPD53Wffvqp3n77bb3//vsaPXq0JOm5557TrbfeqqefflqZmZkX3aehoUENDQ2e/+vq6gItdlBa91uSvAFruNcZmjd+AN8rABcJySDZ4uJipaWlaeDAgZo3b56+/fZbz3V79uxRSkqKJ5xI0sSJE9WjRw/t3bvX5+MVFRXJ6XR6fvr27RuKYreLgXyA9dzB/9E3DmvBxg/tLg4Aw1geUCZPnqz/+q//0s6dO/Xkk0+qpKREU6ZMUVNTkySpsrJSaWlpXveJjY1VamqqKisrfT7msmXLVFtb6/k5ceKE1cXuEP2WgLXWl5brVP3fW0W3HqqwsTQATGT5LJ577rnH8/ewYcM0fPhwDRgwQMXFxZowYUKXHjMhIUEJCQlWFdFvNEEDobG2uExnG5s9/+cPv7hrF0D3FvJ1UK655hpdfvnl+vLLLyVJGRkZqq6u9rrNhQsXdOrUqXbHrdiFOfNAaMwbP0ApiXFKSYzT49OGas2MkXYXCYBhQr4OyldffaVvv/1Wffr0kSTl5uaqpqZG+/fv16hRoyRJu3btUnNzs7Kzs0NdnIAwZx4IDdY/AdCZgAPKmTNnPK0hknTs2DEdPHhQqampSk1N1cqVKzV9+nRlZGSorKxMP//5z3XttdcqLy9PkjR48GBNnjxZ999/v9atW6fGxkbNnz9f99xzj88ZPHaiEgWA6ELXfeQIuIvngw8+0MiRIzVyZEuTbGFhoUaOHKnHHntMMTExOnTokG6//XZdf/31mjt3rkaNGqU///nPXmNIXnvtNQ0aNEgTJkzQrbfeqnHjxumll16ybqsAAPCBrvvI4XC5XC67CxGouro6OZ1O1dbWKjk52e7iAOgijmYRbnzm7BXI/puAAsAW60vLteLNw2pySVemJOp/H7nF7iIBCLFA9t+czdgPLHUPWG9tcZmaXFKMQwxEB3ARAoof6LMErOdeoXnlHUNpagdwEQKKH1jqHrAW4wAAdIYxKADCbuyqXfq65ixjT4BuhjEoFmHsCRAavZPivX4DQFsElA4w9gQmW7DxQw1YtjUizwR8pKLW6zeA8IikA28CSgcYewJTrS8t11sfVajJFZlnAs4fnqkYR8vvSKowgUgXSQfeIT8XTyRjqXuYqnXlckOm08aSdM2aGSM9Jwh0j0dZW1zG9w0IsVFZl6my9qxGZV1md1E6RQsKEIHmjR8gx9/+Pn7qO1vLEixaKoHw2V/+VzW5Wn6bjhYUALaipRIIn3njB3im+JuOgAJEoLXFZXKpZRXWxXkD7S4OEDG6+xo8kXRAQBcPEIFYhRXomkgaJNrdEVCACDQrJ0v/+8gthBNErVDN7mLMU+RgJdkItWDjh9p6qEL5wzM9syEAIFqw2nB0YiVZi5m2TkPrNTA2fxR5a2AgeKZ9JgGr0dIRGpFUdxBQ/GBan+XT2496/nZJYf+grS8t1+Dl29T/kchcxTTSrS8t14o3Dxv1mQSsRjdmaJi2P+sIAcUPpif51oElXM93trFZLkXmKqaRbm1xmZpcLTN4TP1MAjDTvPEDlJIYp/qGC8a3ohBQ/GBakl+cN1BXpiQqMS7G7qJE5CqmkY4ZPAC6alZOlpISYlVzttH4VhQCSgS7Lu1SxTikm6+/IqzPuzhvoGL+tozpt/Xnw/rcMC8wA4gspvcKuLFQWwRy9yFW1p61Zcli944xUlYjhNm6+8JZkSbc79f60nJPN/bivIF8RiwQKYu10YISgdzpN394pi0p2F1Bjcq6TGuLy4zvx4w2kTQK3x+RNGgPLWPQvq45G7axb2uLy1RztjEiuiRgLQIKAubeoWw9VMGOxQbRtkOPlOZmtGi40OT1O9RGZV0mh6TEuBhLPiPRFvCjGQElgri/WO4jGLsCgt0tON1dtO3QGVMTWRJiY7x+h9ruz0/KJelcozWBKNoCfjRjDEoHTOsbd3+xpJajiR8OSdf+8r+GfUcVKf2X0YrXH3ZxtzqkJMaF/SSVLrXUgcF+9iPpbL7dHS0oHTAtabf+Qp2/0KQ1M0Z6vmzdubmSJlsgPNzjQdx/h+M7tzhvoFIS45SSGGdJqKDFLnIQUDpgWlP6rJwsDb+yZd0R9/oj4Q5RJoaBcA/aA7ord50oKWz1zqycLB1cMUkHV0wiVHQzBJQOmJi03euOuH+HO0SZ1qokhX/Qnt1MDInoHtx1onuxyFDXO+7P+oKNH/KZ74YIKBGmbSAJd4gyrVVJCv+gPbuZGBLRPbgDg6Sw1Du/3vqJvq45q7c+YsZgd0RA8ZMpR61tA0m4y2Viq5L7aC7cg/bsYmJIRPcQ7nB8rrHZ8zfnnup+CCh+MvWo1dRyhdOsnKxuNVjYxJCI7iGc4Xh9abl6xrXsohLjYjj3VDdEQPGTqUetdpbLlFYliYGyQDiEMxyvLS7T2cZmXZmSqE9/NZlw0g0RUNrRdufLUevFaL0BECqmHhQifAgo7YiUna+d5Zw3foBSEuNU33DB9laU7jQOxaSWK3Qv4fzscVAIAko7IiW9h7ucrSuoWTlZSkqI5SReYRYp4RnRx+TPnr/hiYAfOQgo7YiU9B7ucratoEwJct1pDIoprzm6H5M/e/7WASaHLHgjoLRBuu6Y3euwmGrBxg81YNlWLdj4YUifx7TzQ6F7iYbvu8khC94IKG2QriOT3WNQth6qUJOr5Xco8fkEfPO3DoiGkNVdEFDaIF13zNQdpN2VTv7wTMU4Wn6H0qisyxTjaPkNdDcdtXDbXQfAegSUNiLxQx7ObikCnL32l/9VTa6W30B34z5AWvHmYbrhuwECSjsiaSxKOFs1Wgc4014jO8sTri4eWlDQnc0bP0AxDqnJJeNacWE9Ako72u70TdsZtxbu5afdr4NpM2fs6n5aX1qu+Ngecij0XTy0oMBOdteDs3KytPKOobTidhMElHa03embOvZCCv/y06a+DnZ1P7mX5M5MSdSaGSND+lx0scEu60vLteLNw7Z9/8N9JmXYj4DSjrY7fXYMLVq/DnbPnDGF+zUZlXVZyI8uI3GMVKQL1xRy060tLlOTy76zCpt8cITQcLhcLpfdhQhUXV2dnE6namtrlZycbHdxug3T1+AYu2qXvq45qytTEvW/j9zS7Z4f1ltfWq5H3zgsSXJIOrYq394C2cju77/7+UdlXab95X81th5CxwLZf9OC0kUmHVWFq1/Y9CMYu1u57H5+WK/1Z71nXPeuLu1uvXM//+7PTxo19g2h072/cR3obKffdtaGnYPHwhUcTJ9BYlcFSt949HKfEDOuh0PnGpuNOCABugsCSjs62+nfkOn0+m33WYXDceTODBLfTG9ZQtfNysnSwRWT1OxyyaXQTyNH526+/grFOFp+o2vsno3lLwJKOzrb6X9bf97rt53N++FqOaALwzdel+gXrpWC0T73TnX35yc5UApSpBxUMUi2C9aXluvXWz/RucZmTR2RGfKppfCP3YP4AISOexB6SmKckhJi+Z4Hwc66MqSDZHfv3q2pU6cqMzNTDodDb7zxhtf1LpdLjz32mPr06aPExERNnDhRX3zxhddtTp06pZkzZyo5OVkpKSmaO3euzpw5E2hRwqp1k5h73QuX/p7iA2kyM2mAbTSJlKMCAIFzt1QuzhuoUVmXacWbh6lDu8juAc/+Cjig1NfXa8SIEXrhhRd8Xr969WqtWbNG69at0969e5WUlKS8vDydO3fOc5uZM2fqyJEj2rFjh7Zs2aLdu3frgQce6PpWWMxX2Gi983MPnEtJjPM06weyqqrVy6JHSn9iqNHVAkSv1jvVzR+11KFvfVTR7eu9aBZUF4/D4dCmTZs0bdo0SS2tJ5mZmXr44Ye1ePFiSVJtba3S09P1yiuv6J577tGnn36qIUOG6P3339fo0aMlSW+//bZuvfVWffXVV8rM7LyPN9RdPL7Ws+isSezGlX9SzdlGpSTG6eCKSR0+/oKNH2rroQrlD7eme4j1NwB0J4OXb9PZxmZJ8qvOhTlsWwfl2LFjqqys1MSJEz2XOZ1OZWdna8+ePZKkPXv2KCUlxRNOJGnixInq0aOH9u7d6/NxGxoaVFdX5/UTSr6OxDtrEgtkVdWb+qcqw5mom/qnhqy8CB9asIJn+mtoevm6m1/kD5HD7kIg5GKtfLDKykpJUnp6utfl6enpnusqKyuVlpbmXYjYWKWmpnpu01ZRUZFWrlxpZVE7NCsnq8O+ufZWNPS3P691d5EVfYCBPDesZ/X72R2Z/hqaXr7uxv0euFu1EZ0iYprxsmXLVFtb6/k5ceJEyJ5rfWm5blz5J9248k8XHS25j6Lc4022HqrwVFqBHGFFaosHR5EXW19arvqGC17jkRA4078TppevOwpmoCcTFSKDpQElIyNDklRVVeV1eVVVlee6jIwMVVdXe11/4cIFnTp1ynObthISEpScnOz1Eypri8tUc7ZRNWcbLxrw6j6KkqQrUxKVPzzTU2kFMoMkUkZQt8UsmYu5Py9JCbER937Cf5H6ne1u/D2IsnqiAkLD0oDSv39/ZWRkaOfOnZ7L6urqtHfvXuXm5kqScnNzVVNTo/3793tus2vXLjU3Nys7O9vK4nTJvPED2u3bdB9FuVcwvKl/qqfS6g5HWN1hGwNl+vL/kYLwCyv4+zli4b3IEPAYlDNnzujLL7/0/H/s2DEdPHhQqamp6tevnxYuXKjHH39c1113nfr376/ly5crMzPTM9Nn8ODBmjx5su6//36tW7dOjY2Nmj9/vu655x6/ZvCEmj99m7s/P6mas41e/dGBjgOJxEXFGOtyMZb/t4a7FZLwi2D4+zlaM2MkC2xGgIADygcffKAf/OAHnv8LCwslSXPmzNErr7yin//856qvr9cDDzygmpoajRs3Tm+//bZ69uzpuc9rr72m+fPna8KECerRo4emT5+uNWvWWLA51mhvR+xO5w7J55iDQEKHlYPuIjHsRItRWZepsvYsLShBIvwCaIul7gNw+3Pv6tDXtZLkc82RQNYjsTJUhGMdFEKQb61f+9ZHb7xGQPgFsh4V7GHbOijR7khFredvX02IgYxHaDvoLpgZMuEYG8IYAd9av/a8RsFhlhhgHxO/fwQUH9p7o9wDq24fkenzCLkr4xHc05offeOw30vlt2XFDIPOpt0xQNa31q89A2aDQ8BDsAJZMBPeTPz+EVB8aO+NWjNjpFbeMVT7y//qM2UGshN3B5PlbxxWzdlGz+X1DReC34Au6GzaHdMsO8eA2eAQggH7mPj9I6D40NEb1dFJAQPZiT+9/ahqzjaq7QCgC832DAmKlml34WymbNvqZOIXPJIQghEsE1sBIoWJ3z8Cig92vlFTR3QtIAS7Y14zY6TKivIjfupdOCuotq1OVn9uTOwT7u54T8zGQUJ0IaAEyKo+zsV5AxXX4+9Lwt0+IlP/b1XXA0JnO+ZgK9ZIqZjDWUEF0+rkz+vJ0aB5OmpBNUWkfFdDwe5WgEh+7U0sO9OM24jU6bSdlTvYqcjhmMrcnXT0erZ3MkrYLxKmsUZCGaNVJNeT4So704yDYOdRazAJtrMjh2BbFmg69Y+/JyHr6PV0fwb3l//VuD7h7mzBxg9Ve7ZRiXExRs8SabjQ7PUbodO2zo7ketLEstOC0oadLSiRnL7RYsCyrWpySTEOqawov0uPEamteNEu2Pe2K+9rV+5DC0r4UGcHjhaUINjZhxlMgm2b5ANtjTGx/9Fk7mniN678k9drZsVsKLv70eFb/vBMOSTFx8YE/D1ZsPFDz1pHgbTOdqVF9+brr1CMQ56Tmkp8v9uy6vUwsdUhmhBQDBLMjqltRRboYL5QD7INlOkV6triMtWcbfScNNLNitlQpm97d7VmxkhlpiTqbGNTwF3ArdcXci/k5093YFcW//O1Ho/7+/309qN8tmRdVz4HE6FFQDGMe+e0YOOHAVUkbZN8w4Umr9+tHzuQRebc9/n11k8tmb3g787X9Bkso7Iuk0NSYlyM5UdPpm97d9bVI+YM599PluoODp0tjii1nDm9ySVt/qiiy3VB68sk8dmSdS0f4TqYaK/F1mr+jqELFwKKYdw7p7c+qtDXNWf16BuH/fqw+JPkO9rxtXd/933ONTZddJ+u8Ldlx/Sm092fn5RLUkJsD8uPnkzf9q4IVwUbal09Yq6sPef52/2+BtId6JK8vrcd7Rh9ldF92eK8gUpJjFN9w4WIfh+CZVXLR7gOJtprsbXa5o8qPIHYBAQUg6wvLfe51H0gHxZ3Ar7Q1DL2OSE2xnOd+6j/VP35gI/Gpo7IDHr9l/Wl5Z5l/Ttb0n9WTpbnBHwmV6S1ZxstL180Nhu7V04OdQUbSsEcLfs6j9dN/VOV4UzUTf1T272fO1CkJMZ5BdZAu3DdZZekpITYiH4fTBKug4l54wf4/BxYrWdcjNdvuxFQDOJOyW31jOv8bXJXQG/9LQE3NruUkhjnFSjcR/2B9KG7d5ZrZowMeqfZ+jkbm126+pGtuvqR9psTTe7qWJw3UDGOi49srRCNY1BadzVG6skUg/k8+hqb5M/jzcrJ0s3XX6Gas40+W1P9DcitnysaW+ii3aycLB1cMUkHV0wK6YHLL/IHK66HQ2cbm3T7c++G7Hn8RUAxiLviuH1Ey2wBSXJI+kX+kE7v666A2nJ/mG9/7l1P+HFIAVVOVo54T/QRttprIepKRRqOnbt76mf+8MyQVPTu93LFm4ct2w67Q0/rlrxIPZliV3fs7fXr+/t4rceouP8ONCC3fq5obKGzS+vgZ/d3zAqzcrLU+LfzwR36utbm0hBQjNK6tcKZGCdJcibG+VWRuJsAWweA1ketrT9s7sf2l5Uj3j/91RRP+HJrrzmxKxVpOFpdQr2Q2rzxAxTjkJpcsiyk2L1Ee3tdFZGkqzt2fwbDdqT1GJUbMp2esqy8Y6jfgal12UMxHigads5d4a536xsu6NdbPzH+NAj+uDKlp9dvOxFQDBXoOX9m5WSp4UKzzjb+ffXI1ketw69sqdjiYhwB9z9b3STc+oSIiXEx+kX+YJ+360qlF47m60Ceo6NtaO/IelZOlmfWR5PLmi4kd1itCcGYGX/ep3A1UYdDoJ/L9gbD+hum18wY6ZmB8239ec/lXQ1MrccDPfbmYUuCRduWhGgYEO0P92tfc7bRq+6NbC2HkJW152x//1hJNor0f2Sr3G9mjENaecfQiyqvQFemZGXdwLR9vTraBvf75ZB0bJX3yqRXP7LV8/fj0y5+HwPlXl1UkuWvZ6StXLq+tNxzlLs4b2DAr61Vn8tAvlvBfg9b398dUFprb1v8fa3ct6s716jmVnuUSPlMBMP9+U+M66HUpISIXwF6fWm5Vrx5WE0u6+sKiZVkI1awzaRT/zZ2JTEuxmc46Qo7B6p2ZZEqu7UdP9JRa0tHI+bdLV7Dr3Ra8j5GQxeLVXxN2Qzku2dVK10gM9WCHTfS+nvc9kzqUvtj0vyd3jorJ0tJCbFe4aS7cLd2/3BIht1FscSsnCxPq5/ddS8BxSDBhoE1M0bq2Kp8ffqrye1WZIE+R+s+1nA39/laEdN0rcePrC0u63An9MMh6YpxtPxu660Hx+n/rcrXWw+Os6Rcs3KytDhvoJISYi15vNZ8La1uMl9TNgMZo2PlIFNf30crFsvq6CR2s3Ky9MUTt3p1+7bH3+mt60vLVV137qLLTf5MWDVuxv152P35SaPHoASyvabUvQQUg5g2fkLy7mMN9xcvEltQfB19tBcK3ZXAWx9VhGVKn9WtYe4Kz73aqd2Vmb86m7prtUBXcPZ3sayOHrfte+0rVL314DhdmZKoxiZXu58Jf8cOrS0u88z+aM3kz0QoW4dNGzS8vrRcy/92Lih/6nFTpqITUAwSjul/kTTF0L0D33ro78t8m7YUsy/ucm/7+Ju/jSVx+fyyt/4/HFP6rA587gq+9m/jTyJl2XDp4qm7gQ5K95e7Pz+QFZz9XSyrox2srx2Mr9fXfbveSfHq/8hWDV7+9kWvvz/vi3sJAYdaFqN7fJr/M4zsYvVOuPUqve4TQ/566yeWPLYU3PdjbXGZAu19q2+4oKe3H7U1ZBFQDGNa8pYCn1FklbbdJZJ5SzH74q743EeUX9ec8zlwblZOltdYk1CzutnW/f641LI6abChN5xToVvPqAnmzNOdWVtcpiZXy6B1f3eEv8gfrCtTEr1mt3UULnw9rq/g4yvQuG/38de17S7i6O+Ccp/+aoqOrWpZjC4SDoSsLqP7cVq3JJ2zcGZPMC0+rbvq/KnHw7W0fmes75BGUFp/CE35cs/KybKlLO7ndM8+kFqOKs82NhmzFLMv7tfr9ufe9bSMtPd+WjXGxB/usTBWHTH6en8ixZoZI71WdXXPzLH6e9f6Nff3cX1933zVC4F+Lzt6/3vG9fBMk/XV0heJ77EJWi+pEKxg3oeufFbcBwp2vu9MMzaMndN6I0GkvT6RVl472flamf4+hbp8pm9/pAh2Cnt3EMj+m4ACAADCgnVQAABARCOgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjGN5QPnXf/1XORwOr59BgwZ5rj937pwKCgrUu3dvXXrppZo+fbqqqqqsLgYAAIhgIWlBueGGG/TNN994ft59913PdYsWLdLmzZv1+uuvq6SkRBUVFbrzzjtDUQwAABChYkPyoLGxysjIuOjy2tpa/fa3v9WGDRt0yy23SJJefvllDR48WKWlpcrJyQlFcQAAQIQJSQvKF198oczMTF1zzTWaOXOmjh8/Lknav3+/GhsbNXHiRM9tBw0apH79+mnPnj3tPl5DQ4Pq6uq8fgAAQPSyPKBkZ2frlVde0dtvv621a9fq2LFj+sd//EedPn1alZWVio+PV0pKitd90tPTVVlZ2e5jFhUVyel0en769u1rdbEBAIBBLO/imTJliufv4cOHKzs7W1lZWfrDH/6gxMTELj3msmXLVFhY6Pm/rq6OkAIAQBQL+TTjlJQUXX/99fryyy+VkZGh8+fPq6amxus2VVVVPsesuCUkJCg5OdnrBwAARK+QB5QzZ86orKxMffr00ahRoxQXF6edO3d6rj969KiOHz+u3NzcUBcFAABECMu7eBYvXqypU6cqKytLFRUVWrFihWJiYjRjxgw5nU7NnTtXhYWFSk1NVXJysh588EHl5uYygwcAAHhYHlC++uorzZgxQ99++62uuOIKjRs3TqWlpbriiiskSc8884x69Oih6dOnq6GhQXl5eXrxxRetLgYAAIhgDpfL5bK7EIGqq6uT0+lUbW0t41EAAIgQgey/ORcPAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMY2tAeeGFF3T11VerZ8+eys7O1r59++wsDgAAMIRtAeX3v/+9CgsLtWLFCh04cEAjRoxQXl6eqqur7SoSAAAwhMPlcrnseOLs7GyNGTNGzz//vCSpublZffv21YMPPqhHHnnE67YNDQ1qaGjw/F9bW6t+/frpxIkTSk5ODmu5AQBA19TV1alv376qqamR0+ns8LaxYSqTl/Pnz2v//v1atmyZ57IePXpo4sSJ2rNnz0W3Lyoq0sqVKy+6vG/fviEtJwAAsN7p06fNDCh/+ctf1NTUpPT0dK/L09PT9dlnn110+2XLlqmwsNDzf3Nzs06dOqXevXvL4XAEXR53oov2Fhm2M7qwndGF7YwubKdvLpdLp0+fVmZmZqe3tSWgBCohIUEJCQlel6WkpFj+PMnJyVH9QXJjO6ML2xld2M7ownZerLOWEzdbBslefvnliomJUVVVldflVVVVysjIsKNIAADAILYElPj4eI0aNUo7d+70XNbc3KydO3cqNzfXjiIBAACD2NbFU1hYqDlz5mj06NG66aab9Oyzz6q+vl4/+clPwl6WhIQErVix4qJupGjDdkYXtjO6sJ3Rhe0Mnm3TjCXp+eef11NPPaXKykrdeOONWrNmjbKzs+0qDgAAMIStAQUAAMAXzsUDAACMQ0ABAADGIaAAAADjEFAAAIBxun1AeeGFF3T11VerZ8+eys7O1r59++wukqWKioo0ZswY9erVS2lpaZo2bZqOHj1qd7FCbtWqVXI4HFq4cKHdRbHc119/rVmzZql3795KTEzUsGHD9MEHH9hdLEs1NTVp+fLl6t+/vxITEzVgwAD96le/UjSM6d+9e7emTp2qzMxMORwOvfHGG17Xu1wuPfbYY+rTp48SExM1ceJEffHFF/YUNggdbWdjY6OWLl2qYcOGKSkpSZmZmbr33ntVUVFhX4G7qLP3s7Wf/exncjgcevbZZ8NWPqv4s52ffvqpbr/9djmdTiUlJWnMmDE6fvx4l5+zWweU3//+9yosLNSKFSt04MABjRgxQnl5eaqurra7aJYpKSlRQUGBSktLtWPHDjU2NmrSpEmqr6+3u2gh8/777+s//uM/NHz4cLuLYrm//vWvGjt2rOLi4rRt2zZ98skn+rd/+zdddtlldhfNUk8++aTWrl2r559/Xp9++qmefPJJrV69Ws8995zdRQtafX29RowYoRdeeMHn9atXr9aaNWu0bt067d27V0lJScrLy9O5c+fCXNLgdLSd3333nQ4cOKDly5frwIED+uMf/6ijR4/q9ttvt6Gkwens/XTbtGmTSktL/ToHjYk6286ysjKNGzdOgwYNUnFxsQ4dOqTly5erZ8+eXX9SVzd20003uQoKCjz/NzU1uTIzM11FRUU2liq0qqurXZJcJSUldhclJE6fPu267rrrXDt27HB9//vfdz300EN2F8lSS5cudY0bN87uYoRcfn6+66c//anXZXfeeadr5syZNpUoNCS5Nm3a5Pm/ubnZlZGR4Xrqqac8l9XU1LgSEhJcGzdutKGE1mi7nb7s27fPJclVXl4enkKFQHvb+dVXX7muvPJK1+HDh11ZWVmuZ555Juxls5Kv7bz77rtds2bNsvR5um0Lyvnz57V//35NnDjRc1mPHj00ceJE7dmzx8aShVZtba0kKTU11eaShEZBQYHy8/O93tdo8tZbb2n06NH6p3/6J6WlpWnkyJH6z//8T7uLZbnvfe972rlzpz7//HNJ0kcffaR3331XU6ZMsblkoXXs2DFVVlZ6fX6dTqeys7Ojul6SWuomh8MRkhPB2qm5uVmzZ8/WkiVLdMMNN9hdnJBobm7W1q1bdf311ysvL09paWnKzs7usLvLH902oPzlL39RU1OT0tPTvS5PT09XZWWlTaUKrebmZi1cuFBjx47V0KFD7S6O5X73u9/pwIEDKioqsrsoIfN///d/Wrt2ra677jpt375d8+bN04IFC/Tqq6/aXTRLPfLII7rnnns0aNAgxcXFaeTIkVq4cKFmzpxpd9FCyl33dKd6SZLOnTunpUuXasaMGVF35t8nn3xSsbGxWrBggd1FCZnq6mqdOXNGq1at0uTJk/WnP/1JP/rRj3TnnXeqpKSky49r27l4EH4FBQU6fPiw3n33XbuLYrkTJ07ooYce0o4dO4Lr8zRcc3OzRo8erSeeeEKSNHLkSB0+fFjr1q3TnDlzbC6ddf7whz/otdde04YNG3TDDTfo4MGDWrhwoTIzM6NqO9EyYPbHP/6xXC6X1q5da3dxLLV//3795je/0YEDB+RwOOwuTsg0NzdLku644w4tWrRIknTjjTfqvffe07p16/T973+/S4/bbVtQLr/8csXExKiqqsrr8qqqKmVkZNhUqtCZP3++tmzZonfeeUdXXXWV3cWx3P79+1VdXa1/+Id/UGxsrGJjY1VSUqI1a9YoNjZWTU1NdhfREn369NGQIUO8Lhs8eHBQI+VNtGTJEk8ryrBhwzR79mwtWrQoqlvHJHnqnu5SL7nDSXl5uXbs2BF1rSd//vOfVV1drX79+nnqpfLycj388MO6+uqr7S6eZS6//HLFxsZaXjd124ASHx+vUaNGaefOnZ7LmpubtXPnTuXm5tpYMmu5XC7Nnz9fmzZt0q5du9S/f3+7ixQSEyZM0Mcff6yDBw96fkaPHq2ZM2fq4MGDiomJsbuIlhg7duxF08Q///xzZWVl2VSi0Pjuu+/Uo4d39RQTE+M5UotW/fv3V0ZGhle9VFdXp71790ZVvST9PZx88cUX+p//+R/17t3b7iJZbvbs2Tp06JBXvZSZmaklS5Zo+/btdhfPMvHx8RozZozldVO37uIpLCzUnDlzNHr0aN1000169tlnVV9fr5/85Cd2F80yBQUF2rBhg95880316tXL04/tdDqVmJhoc+ms06tXr4vG1SQlJal3795RNd5m0aJF+t73vqcnnnhCP/7xj7Vv3z699NJLeumll+wumqWmTp2qX//61+rXr59uuOEGffjhh/r3f/93/fSnP7W7aEE7c+aMvvzyS8//x44d08GDB5Wamqp+/fpp4cKFevzxx3Xdddepf//+Wr58uTIzMzVt2jT7Ct0FHW1nnz59dNddd+nAgQPasmWLmpqaPHVTamqq4uPj7Sp2wDp7P9sGr7i4OGVkZGjgwIHhLmpQOtvOJUuW6O6779bNN9+sH/zgB3r77be1efNmFRcXd/1JLZ0TFIGee+45V79+/Vzx8fGum266yVVaWmp3kSwlyefPyy+/bHfRQi4apxm7XC7X5s2bXUOHDnUlJCS4Bg0a5HrppZfsLpLl6urqXA899JCrX79+rp49e7quueYa1y9+8QtXQ0OD3UUL2jvvvOPzOzlnzhyXy9Uy1Xj58uWu9PR0V0JCgmvChAmuo0eP2lvoLuhoO48dO9Zu3fTOO+/YXfSAdPZ+thWp04z92c7f/va3rmuvvdbVs2dP14gRI1xvvPFGUM/pcLmiYGlGAAAQVbrtGBQAAGAuAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGOf/AwGIJMkrTlfhAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "snd = parselmouth.Sound(sound_file)\n", "\n", @@ -133,49 +83,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "f22ba08d-1a57-41a0-b5b1-a409cfe32a84", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "play_from = 4.5\n", "end_with = 8.6\n", @@ -186,14 +97,6 @@ "\n", "Audio(data=snd_part.values, rate=snd_part.sampling_frequency, autoplay=True)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8fbb5430-e1fd-4122-b5e2-b9e9163b0de9", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": {