From 5e894f9eddba8aba4a71c13c78868a6f34b4ce28 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9D=D0=B8=D0=BA=D0=B8=D1=82=D0=B0=20=D0=9F=D0=BE=D1=82?= =?UTF-8?q?=D0=B0=D0=BF=D0=BE=D0=B2?= Date: Sat, 21 Sep 2024 01:29:47 +0400 Subject: [PATCH 1/4] =?UTF-8?q?=D0=9D=D0=B0=D0=B4=D0=BE=20=D0=B4=D0=BE?= =?UTF-8?q?=D0=BF=D0=B8=D0=BB=D0=B8=D1=82=D1=8C=20=D0=B4=D0=B8=D0=B0=D0=B3?= =?UTF-8?q?=D1=80=D0=B0=D0=BC=D0=BC=D1=83=20-=20=D1=81=D0=B4=D0=B5=D0=BB?= =?UTF-8?q?=D0=B0=D1=82=D1=8C=20=D1=81=D1=80=D0=B5=D0=B7?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_1/csv/dataset25.csv | 101 +++++++++++ lab_1/lab1.ipynb | 364 +++++++++++++++++++++++++++++++++++++++ lab_1/static/swagger.png | Bin 0 -> 90889 bytes 3 files changed, 465 insertions(+) create mode 100644 lab_1/csv/dataset25.csv create mode 100644 lab_1/lab1.ipynb create mode 100644 lab_1/static/swagger.png diff --git a/lab_1/csv/dataset25.csv b/lab_1/csv/dataset25.csv new file mode 100644 index 0000000..4726604 --- /dev/null +++ b/lab_1/csv/dataset25.csv @@ -0,0 +1,101 @@ +Company;Valuation ($B) ;Country;State;City;Industries;Founded Year;Name of Founders;Total Funding;Number of Employees +Bytedance;140,00 US$;China;Beijing;Beijing;Content, Data Mining, Internet;2012;Yiming Zhang;$7,440.00M;10.000 +SpaceX;100,30 US$;United States;California;Hawthorne;Aerospace, Manufacturing, Space Travel, Transportation;2002;Elon Musk;$383.02M;5,000-10,000 +Stripe;95,00 US$;United States;California;San Francisco;Finance, FinTech, Mobile Payments, SaaS;2010;John Collison, Patrick Collison;$300.00M;1,000-5,000 +Klarna;45,60 US$;Sweden;;Stockholm;E-Commerce, FinTech, Payments, Shopping;2005;Niklas Adalberth, Sebastian Siemiatkowski, Victor Jacobsson;$3,471.72M;5,000-10,000 +Epic Games;42,00 US$;United States;North Carolina;Cary;Developer Platform, Gaming, Software, Video Games;1991;Mark Rein, Tim Sweeney;$544.93M;1,000-5,000 +Canva;40,00 US$;Australia;New South Wales;Surry Hills;Graphic Design, Photo Editing, Publishing, Software, Web Design;2012;Cameron Adams, Cliff Obrecht, Melanie Perkins;$571.26M;500-1,000 +Checkout.com;40,00 US$;United Kingdom;England;London;E-Commerce, FinTech, Payments, Transaction Processing;2012;Guillaume Pousaz;$1,830.00M;1,000-5,000 +Instacart;39,00 US$;United States;California;San Francisco;Delivery Service, E-Commerce, Grocery, Shopping;2012;Apoorva Mehta, Brandon Leonardo, Max Mullen;$2,686.01M;5,000-10,000 +Databricks;38,00 US$;United States;California;San Francisco;Analytics, Artificial Intelligence, Information Technology, Machine Learning, Software;2013;Ali Ghodsi, Andy Konwinski, Ion Stoica, Matei Zaharia, Patrick Wendell, Reynold Xin, Scott Shenker;$557.15M;1,000-5,000 +Revolut;33,00 US$;United Kingdom;England;London;Banking, Financial Services, FinTech, Mobile Payments;2015;Nikolay Storonsky, Vlad Yatsenko;$1,715.98M;1,000-5,000 +FTX;32,00 US$;Bahamas;;;Cryptocurrency, Finance, Financial Exchanges, Financial Services, Trading Platform;2018;Gary Wang, Sam Bankman-Fried;$1,828.69M;100-250 +Chime;25,00 US$;United States;California;San Francisco;Banking, Debit Cards, Financial Services, FinTech;2013;Chris Britt, Ryan King;$3,396.75M;1,000-5,000 +BYJU's;21,00 US$;India;;Bengaluru;E-Learning, EdTech, Education, Higher Education, Software;2008;Byju Raveendran, Divya Gokulnath;$5,182.78M;1,000-5,000 +J&T Express;20,00 US$;Indonesia;;Jakarta;Courier Service, E-Commerce, Freight Service;2015;Jet Lee, Tony Chen;$4,653.00M;10.000 +Xiaohongshu;20,00 US$;China;Shanghai;Shanghai;E-Commerce, Mobile Apps, Shopping, Social;2013;Charlwin Mao Wenchao, Miranda Qu;$917.50M;1,000-5,000 +Fanatics;18,00 US$;United States;Florida;Jacksonville;Manufacturing, Retail, Sporting Goods, Sports;1995;Alan Trager, Michael G. Rubin, Mitch Trager;$1,170.29M;1,000-5,000 +Miro;17,50 US$;United States;California;San Francisco;B2B, Enterprise Applications, Enterprise Software, Product Management, UX Design;2011;Andrey Khusid, Oleg Shardin, Oleg Shardin;$355.00M;1,000-5,000 +Yuanfudao;15,50 US$;China;Beijing;Beijing;E-Learning, EdTech, Tutoring;2012;Ke Shuai, Xin Li, Yong Li;$4,044.20M;10.000 +Ripple;15,00 US$;United States;California;San Francisco;Blockchain, Cryptocurrency, FinTech, Internet, Payments;2012;Arthur Britto, Chris Larsen, Jed McCaleb, Ryan Fugger;$293.90M;500-1,000 +DJI Innovations;15,00 US$;China;Guangdong;Shenzhen;Aerospace, Consumer Electronics, Drones, Manufacturing, Photography, Wireless;2006;Frank Wang;$1,135.00M;10.000 +goPuff;15,00 US$;United States;Pennsylvania;Philadelphia;Delivery Service, E-Commerce, Food Delivery, Grocery, Mobile Apps;2013;Rafael Ilishayev, Yakir Gola;$290.88M;5,000-10,000 +SHEIN;15,00 US$;China;Guangdong;Shenzhen;Consumer, E-Commerce, Fashion, Marketplace, Textiles;2008;Xiaoqing Ren, Yang Pei, Yangtian Xu;$553.36M;1,000-5,000 +Yuanqi Senlin;15,00 US$;China;Beijing;Beijing;Food and Beverage;2016;Binsen Tang;$721.31M;5,000-10,000 +Plaid;13,40 US$;United States;California;San Francisco;Finance, Financial Services, FinTech;2012;William Hockey, Zachary Perret;$734.80M;500-1,000 +OpenSea;13,30 US$;United States;New York;New York;Blockchain, Cryptocurrency, Marketplace;2017;Alex Atallah, Devin Finzer;$425.12M;100-250 +Grammarly;13,00 US$;United States;California;San Francisco;Assistive Technology, Information Technology, Productivity Tools;2009;Alex Shevchenko, Dmytro Lider, Max Lytvyn;$400.00M;500-1,000 +Devoted Health;12,60 US$;United States;Minnesota;Saint Paul;Elder Care, Elderly, Health Care, Hospital;2017;Ed Park, Jeremy Delinsky, Todd Park;$1,968.95M;1,000-5,000 +Faire;12,40 US$;United States;California;San Francisco;E-Commerce, Marketplace, Retail, Retail Technology, Wholesale;2017;Daniele Perito, Jeffrey Kolovson, Lauren Cooks Levitan, Marcelo Cortes, Max Rhodes;$1,096.12M;500-1,000 +Brex;12,30 US$;United States;Utah;Draper;Banking, Credit Cards, Financial Services, FinTech;2017;Henrique Dubugras, Pedro Franceschi;$1,490.12M;500-1,000 +Biosplice Therapeutics;12,00 US$;United States;California;San Diego;Biotechnology, Health Care, Life Science;2008;Osman Kibar;$285.71M;50-100 +Bitmain Technologies;12,00 US$;China;Beijing;Beijing;Application Specific Integrated Circuit (ASIC), Bitcoin, Electronics, Manufacturing, Semiconductor;2013;Jihan Wu, Micree Zhan;$450.00M;100-250 +GoodLeap;12,00 US$;United States;California;Roseville;Lending, Renewable Energy;2003;Hayes Barnard;$1,800.00M;1,000-5,000 +JUUL Labs;12,00 US$;United States;California;San Francisco;B2C, Consumer Electronics, Consumer Goods, Leisure, Lifestyle;2015;Adam Bowen, James Monsees, Kevin Burns, Tim Danaher;$15,371.68M;1,000-5,000 +Airtable;11,70 US$;United States;California;San Francisco;Collaboration, Database, Developer Tools, SaaS;2013;Andrew Ofstad, Emmett Nicholas, Howie Liu;$2,236.60M;250-500 +ZongMu Technology;11,40 US$;China;Shanghai;Shanghai;Automotive, Autonomous Vehicles, Robotics;2013;Rui Tang;$210.83M;10-50 +Global Switch;11,10 US$;United Kingdom;England;London;Data Center, Real Estate, Wholesale;1998;Andy Ruhan;$6,254.75M;250-500 +Bolt;11,00 US$;United States;California;San Francisco;E-Commerce, Fraud Detection, Mobile Payments, Payments;2014;Eric Feldman, Ryan Breslow;$963.00M;500-1,000 +Celonis;11,00 US$;Germany;;Munich;Analytics, Business Intelligence, SaaS, Software;2011;Alexander Rinke, Bastian Nominacher, Martin Klenk;$1,367.50M;1,000-5,000 +Weilong;10,88 US$;China;Henan;Luohe;Food and Beverage, Manufacturing, Snack Food;1999;Liu Fuping, Liu Weiping;$559.74M;No Data +Swiggy;10,70 US$;India;;Bengaluru;E-Commerce Platforms, Food Delivery, Mobile Apps;2014;Nandan Reddy, Phani Kishan Addepalli, Rahul Jaimini, Sriharsha Majety;$3,571.00M;10.000 +Figma;10,00 US$;United States;California;San Francisco;Developer Tools, Graphic Design, Software, UX Design, Web Design;2012;Dylan Field, Evan Wallace;$333.50M;250-500 +Talkdesk;10,00 US$;United States;California;San Francisco;Cloud Computing, CRM, Customer Service, SaaS;2011;Cristina Fonseca, Tiago Paiva;$504.77M;1,000-5,000 +Digital Currency Group;10,00 US$;United States;New York;New York;Bitcoin, Blockchain, Financial Services, Venture Capital;2015;Barry Silbert;$600.00M;50-100 +Gusto;10,00 US$;United States;California;San Francisco;Employee Benefits, Enterprise Software, Financial Services, FinTech, Human Resources, SaaS;2011;Edward Kim, Joshua Reeves, Tomer London;$930.83M;1,000-5,000 +Lalamove;10,00 US$;Hong Kong;;Cheung Sha Wan;Apps, Delivery, Logistics, Supply Chain Management, Transportation;2013;Chow Shing Yuk, Gary Hui, Santit Jirawongkraisorn;$2,475.00M;500-1,000 +Notion Labs;10,00 US$;United States;California;San Francisco;Apps, Collaboration, Product Management, Real Time, Software;2016;Ivan Zhao, Simon Last;$342.00M;250-500 +reddit;10,00 US$;United States;California;San Francisco;Content, News, Social Bookmarking, Social Media, Social Network;2005;Aaron Swartz, Alexis Ohanian, Steve Huffman;$1,487.23M;500-1,000 +Thrasio;10,00 US$;United States;Massachusetts;Walpole;Brand Marketing, Consumer Goods, E-Commerce;2018;Carlos Cashman, Joshua Silberstein;$3,396.46M;1,000-5,000 +OYO Rooms;9,60 US$;India;;Gurugram;Hospitality, Travel, Travel Accommodations;2012;Ritesh Agarwal;$3,113.68M;5,000-10,000 +OutSystems;9,50 US$;United States;Massachusetts;Boston;Data Integration, Developer Platform, Developer Tools, PaaS, SaaS, Software;2001;Paulo Rosado, Rui Pereira;$208.00M;1,000-5,000 +ServiceTitan;9,50 US$;United States;California;Glendale;CRM, Home Services, Information Technology, SaaS;2012;Ara Mahdessian, Vahe Kuzoyan;$1,098.84M;1,000-5,000 +HEYTEA;9,28 US$;China;Guangdong;Shenzhen;Food and Beverage, Tea;2012;Yunqi Nie;$579.23M;1,000-5,000 +N26;9,23 US$;Germany;;Berlin;Banking, Finance, Financial Services, FinTech;2013;Maximilian Tayenthal, Valentin Stalf;$1,722.36M;1,000-5,000 +Klaviyo;9,20 US$;United States;Massachusetts;Boston;Advertising, Analytics, E-Commerce, Marketing, Marketing Automation, Software;2012;Andrew Bialecki, Ed Hallen;$678.50M;500-1,000 +Northvolt;9,08 US$;Sweden;;Stockholm;Battery, Clean Energy, CleanTech, Electronics, Manufacturing;2016;Paolo Cerruti, Peter Carlsson;$6,162.15M;1,000-5,000 +Chehaoduo;9,00 US$;China;Beijing;Beijing;Automotive, E-Commerce, Online Auctions;2015;Mark Yang;$696.76M;10.000 +Niantic;9,00 US$;United States;California;San Francisco;Augmented Reality, Software, Video Games, Virtual Reality;2015;John Hanke, Phil Keslin;$770.00M;500-1,000 +Tanium;9,00 US$;United States;Washington;Kirkland;Cyber Security, Enterprise Software, Information Technology, SaaS, Security;2007;David Hindawi, Orion Hindawi;$4,376.50M;1,000-5,000 +Rapyd;8,75 US$;United Kingdom;England;London;Financial Services, FinTech, Mobile Payments, Payments;2016;Arik Shtilman, Arkady Karpman, Omer Priel;$775.00M;250-500 +Kavak;8,70 US$;Mexico;;Lerma de Villada;Automotive, E-Commerce, E-Commerce Platforms, Online Portals;2016;Carlos Julio Garcia, Roger Laughlin;$1,188.00M;1,000-5,000 +Nuro;8,60 US$;United States;California;Mountain View;Autonomous Vehicles, Fleet Management, Information Technology, Robotics, Transportation;2016;Dave Ferguson, Jiajun Zhu;$2,132.00M;1,000-5,000 +Snyk;8,60 US$;United States;Massachusetts;Boston;Cyber Security, Internet, Security, Software;2015;Assaf Hefetz, Danny Grander, Guy Podjarny, Jacob Tarango;$1,026.09M;500-1,000 +Bolt;8,40 US$;Estonia;;Tallinn;Car Sharing, Electric Vehicle, Food Delivery, Grocery, Last Mile Transportation, Mobile Apps, Public Transportation, Ride Sharing, Transportation;2013;Markus Villig, Martin Villig, Oliver Leisalu;$1,970.53M;1,000-5,000 +Tipalti;8,30 US$;United States;California;San Mateo;Accounting, Financial Services, FinTech, Payments, Software;2010;Chen Amit, Oren Zeev;$502.50M;500-1,000 +Lacework;8,30 US$;United States;California;San Jose;Cloud Security, Compliance, Cyber Security, Developer Tools;2015;Mike Speiser, Sanjay Kalra, Vikram Kapoor;$1,906.70M;500-1,000 +Tempus;8,10 US$;United States;Illinois;Chicago;Artificial Intelligence, Biotechnology, Health Care, Machine Learning, Medical;2015;Eric Lefkofsky;$1,070.00M;1,000-5,000 +Fireblocks;8,00 US$;United States;New York;New York;Blockchain, Cryptocurrency, Cyber Security;2018;Idan Ofrat, Michael Shaulov, Pavel Berengoltz;$1,039.00M;100-250 +Dream11;8,00 US$;India;;Mumbai;Fantasy Sports, Information Technology, Sports;2007;Bhavit Sheth, Harsh Jain;$1,165.08M;500-1,000 +Xingsheng Selected;8,00 US$;China;Hunan;Changsha;E-Commerce, Food and Beverage, Grocery, Retail, Shopping;2009;Lihua Yue;$5,040.00M;10.000 +Caris Life Sciences;7,83 US$;United States;Texas;Irving;Biotechnology, Health Care, Health Diagnostics, Medical;1996;David D. Halbert;$1,314.49M;1,000-5,000 +Hopin;7,75 US$;United Kingdom;England;London;Events, Meeting Software, Video Conferencing;2019;Johnny Boufarhat;$1,021.73M;500-1,000 +Dapper Labs;7,60 US$;Canada;British Columbia;Vancouver;Blockchain, Gaming, Software;2018;Dieter Shirley, Mack Flavelle, Roham Gharegozlou;$665.07M;100-250 +Getir;7,50 US$;Turkey;;Istanbul;Delivery Service, E-Commerce, Logistics, Mobile Apps;2015;Arkady Volozh, Mert Salur, Nazım Salur, Serkan Borançılı, Tuncay Tütek;$1,172.00M;1,000-5,000 +Razorpay;7,50 US$;India;;Bengaluru;Finance, Financial Services, FinTech, Payments;2013;Harshil Mathur, Shashank Kumar;$741.62M;1,000-5,000 +Netskope;7,50 US$;United States;California;Santa Clara;Cloud Security, Cyber Security, Enterprise Software, Software;2012;Krishna Narayanaswamy, Lebin Cheng, Ravi Ithal, Sanjay Beri;$1,040.10M;1,000-5,000 +Ola Cabs;7,50 US$;India;;Bengaluru;Apps, Mobile, Ride Sharing, Transportation;2011;Ankit Bhati, Bhavish Aggarwal;$5,008.30M;5,000-10,000 +Carta;7,40 US$;United States;California;San Francisco;Finance, FinTech, Software, Stock Exchanges;2012;Henry Ward, Manu Kumar;$1,157.80M;1,000-5,000 +Toss;7,40 US$;South Korea;;Seoul;Financial Services, FinTech, Mobile Apps, Mobile Payments, Personal Finance;2013;Seunggun Lee;$844.20M;500-1,000 +Scale AI;7,30 US$;United States;California;San Francisco;Artificial Intelligence, Image Recognition, Machine Learning, SaaS;2016;Alexandr Wang, Lucy Guo;$602.82M;250-500 +TripActions;7,25 US$;United States;California;Palo Alto;Business Travel, Customer Service, Payments, Software;2015;Ariel Cohen, Ilan Twig;$1,040.48M;1,000-5,000 +Argo AI;7,25 US$;United States;Pennsylvania;Pittsburgh;Artificial Intelligence, Autonomous Vehicles, Robotics, Transportation;2016;Bryan Salesky, Peter Rander;$500.00M;1,000-5,000 +Gong;7,25 US$;United States;California;Palo Alto;Artificial Intelligence, CRM, Enterprise Software, Information Technology, Machine Learning, Sales, Software;2015;Amit Bendov, Eilon Reshef;$583.00M;500-1,000 +Gemini;7,10 US$;United States;New York;New York;Cryptocurrency, Finance, Financial Services, FinTech;2015;Cameron Winklevoss, Tyler Winklevoss;$400.00M;500-1,000 +Discord;7,00 US$;United States;California;San Francisco;Communities, Messaging, Social Network, Software, Video Chat;2012;Jason Citron, Stanislav Vishnevskiy;$979.30M;500-1,000 +We Doctor;7,00 US$;China;Zhejiang;Hangzhou;Health Care, Hospitality, Internet, Medical;2010;Liao Jieyuan;$1,786.00M;1,000-5,000 +1Password;6,80 US$;Canada;Ontario;Toronto;Cyber Security, Network Security, Privacy, Software;2005;Dave Teare, Natalia Karimov, Roustem Karimov, Sara Teare;$920.14M;250-500 +Automation Anywhere;6,80 US$;United States;California;San Jose;Artificial Intelligence, Enterprise Software, Machine Learning, SaaS, Software;2003;Ankur Kothari, Mihir Shukla, Neeti Mehta, Rushabh Parmani;$840.00M;1,000-5,000 +Ziroom;6,60 US$;China;Beijing;Beijing;Real Estate, Rental, Rental Property;2011;Lin Xiong;$2,121.00M;10.000 +National Stock Exchange of India;6,50 US$;India;;Mumbai;Financial Services, FinTech, Stock Exchanges;1992;Mukesh Agarwal;$149.50M;250-500 +Mollie;6,50 US$;Netherlands;;Amsterdam;E-Commerce, Financial Services, FinTech, Mobile Payments;2004;Adriaan Mol;$934.32M;250-500 +Rippling;6,50 US$;United States;California;San Francisco;Employment, Human Resources, Information Technology, IT Management, Productivity Tools;2017;Parker Conrad, Prasanna Sankar;$447.12M;500-1,000 +DataRobot;6,30 US$;United States;Massachusetts;Boston;Artificial Intelligence, Enterprise Software, Machine Learning, SaaS;2012;Jeremy Achin, Thomas DeGodoy;$1,089.37M;1,000-5,000 +Personio;6,30 US$;Germany;;Munich;Employment, Human Resources, Recruiting, SaaS;2015;Arseniy Vershinin, Hanno Renner, Ignaz Forstmeier, Ignaz Forstmeier, Roman Schumacher;$524.83M;500-1,000 +Upgrade;6,28 US$;United States;California;San Francisco;Banking, Credit, Financial Services, FinTech, Mobile;2016;Adelina Grozdanova, Jeff Bogan, Matt Wierman, Renaud Laplanche, Soul Htite, Visar Nimani;$562.50M;250-500 +Hinge Health;6,20 US$;United States;California;San Francisco;Health Care, Medical, Therapeutics, Wearables;2015;Daniel Perez, Gabriel Mecklenburg;$853.85M;1,000-5,000 +Benchling;6,10 US$;United States;California;San Francisco;Biotechnology, Life Science, Software;2012;Ashutosh Singhal, Cory Li, Sajith Wickramasekara;$412.00M;500-1,000 +Black Unicorn Factory;6,10 US$;United States;California;Los Angeles;;2020;Johnny Stewart;$645M;No Data +Better.com;6,00 US$;United States;New York;New York;Consumer Lending, Financial Services, FinTech, Lending, Real Estate;2016;Eric Wilson, Erik Bernhardsson, Shawn Low, Viral Shah, Vishal Garg;$1,655.00M;5,000-10,000 +Wiz;6,00 US$;Israel;;Tel Aviv;Cloud Security, Cyber Security, Enterprise Software, Security;2020;Ami Luttwak, Assaf Rappaport, Roy Reznik, Yinon Costica;$600.00M;100-250 +iCapital Network;6,00 US$;United States;New York;New York;Asset Management, Banking, Financial Services, FinTech;2013;Dan Vene, John Robertshaw, Nick Veronis, Phil Pool;$181.50M;250-500 \ No newline at end of file diff --git a/lab_1/lab1.ipynb b/lab_1/lab1.ipynb new file mode 100644 index 0000000..7848750 --- /dev/null +++ b/lab_1/lab1.ipynb @@ -0,0 +1,364 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Импортируем библиотеку `pandas` и загружаем датасет (разделителем указываем точку с запятой)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "df = pd.read_csv(\"csv\\\\dataset25.csv\", sep=\";\")\n", + "\n", + "df[\"Valuation ($B) \"] = pd.to_numeric(df[\"Valuation ($B) \"].str.slice(0, -4).str.replace(\",\", \".\"))\n", + "df[\"Total Funding\"] = pd.to_numeric(df[\"Total Funding\"].str.slice(1, -2).str.replace(\",\", \"\"))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Посмотрим краткое содержание датасета. Видим, что датасет состоит из 100 строк и 10 столбцов" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 100 entries, 0 to 99\n", + "Data columns (total 10 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Company 100 non-null object \n", + " 1 Valuation ($B) 100 non-null float64\n", + " 2 Country 100 non-null object \n", + " 3 State 79 non-null object \n", + " 4 City 99 non-null object \n", + " 5 Industries 99 non-null object \n", + " 6 Founded Year 100 non-null int64 \n", + " 7 Name of Founders 100 non-null object \n", + " 8 Total Funding 100 non-null float64\n", + " 9 Number of Employees 100 non-null object \n", + "dtypes: float64(2), int64(1), object(7)\n", + "memory usage: 7.9+ KB\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
CompanyValuation ($B)CountryStateCityIndustriesFounded YearName of FoundersTotal FundingNumber of Employees
0Bytedance140.0ChinaBeijingBeijingContent, Data Mining, Internet2012Yiming Zhang7440.010.000
1SpaceX100.3United StatesCaliforniaHawthorneAerospace, Manufacturing, Space Travel, Transp...2002Elon Musk383.05,000-10,000
2Stripe95.0United StatesCaliforniaSan FranciscoFinance, FinTech, Mobile Payments, SaaS2010John Collison, Patrick Collison300.01,000-5,000
3Klarna45.6SwedenNaNStockholmE-Commerce, FinTech, Payments, Shopping2005Niklas Adalberth, Sebastian Siemiatkowski, Vic...3471.75,000-10,000
4Epic Games42.0United StatesNorth CarolinaCaryDeveloper Platform, Gaming, Software, Video Games1991Mark Rein, Tim Sweeney544.91,000-5,000
\n", + "
" + ], + "text/plain": [ + " Company Valuation ($B) Country State City \\\n", + "0 Bytedance 140.0 China Beijing Beijing \n", + "1 SpaceX 100.3 United States California Hawthorne \n", + "2 Stripe 95.0 United States California San Francisco \n", + "3 Klarna 45.6 Sweden NaN Stockholm \n", + "4 Epic Games 42.0 United States North Carolina Cary \n", + "\n", + " Industries Founded Year \\\n", + "0 Content, Data Mining, Internet 2012 \n", + "1 Aerospace, Manufacturing, Space Travel, Transp... 2002 \n", + "2 Finance, FinTech, Mobile Payments, SaaS 2010 \n", + "3 E-Commerce, FinTech, Payments, Shopping 2005 \n", + "4 Developer Platform, Gaming, Software, Video Games 1991 \n", + "\n", + " Name of Founders Total Funding \\\n", + "0 Yiming Zhang 7440.0 \n", + "1 Elon Musk 383.0 \n", + "2 John Collison, Patrick Collison 300.0 \n", + "3 Niklas Adalberth, Sebastian Siemiatkowski, Vic... 3471.7 \n", + "4 Mark Rein, Tim Sweeney 544.9 \n", + "\n", + " Number of Employees \n", + "0 10.000 \n", + "1 5,000-10,000 \n", + "2 1,000-5,000 \n", + "3 5,000-10,000 \n", + "4 1,000-5,000 " + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.info()\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Company', 'Valuation ($B) ', 'Country', 'State', 'City', 'Industries',\n", + " 'Founded Year', 'Name of Founders', 'Total Funding',\n", + " 'Number of Employees'],\n", + " dtype='object')" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Круговая диаграмма показывает распределение компаний по странам" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df[\"Country\"].value_counts().plot.pie()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Гистограмма распределение количества компаний по году основания. Диаграмма показывает, что больше всего самых дорогих компаний было основано в период между 2012 и 2015 годом." + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df[\"Founded Year\"].value_counts().sort_index().plot.bar()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Точечная диаграмма показывает распределение стоимости компании от количества работников. Из диаграммы видно, что больше всего компаний, у которых в штате от 1000 до 5000 человек." + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df.plot.scatter(x=\"Number of Employees\", y=\"Valuation ($B) \", figsize=(12, 4))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.12.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/lab_1/static/swagger.png b/lab_1/static/swagger.png new file mode 100644 index 0000000000000000000000000000000000000000..0ed1beed351991560cf182e57b201ec0d29bea7a GIT binary patch literal 90889 zcmaI71yEaU*Dg#c?(R;ZxE3$cqJ`olxLb=$aWC#(!CjI7!71((*Wgmz-ThC$nKS2o zp7;OGuxA)ZCfR%6Yp-?L9jT@wkBvcrfq;O3{Xs!S0|5aUh=A}C0SyKIpHYdoo$y~T zTs7q1Bb1L&?IIx1A$*W|r{!sMkcsN4X?fp!3^~HCNzoX{VxUt&>JIhcb~+x7d})xg z*4d->&N*6t5ko~y9gkR6hWzVLl_=Q~`{$(RXOUg>;^Gh9Nky1P*NqPnY3Fg!{kR`WGBcJc%bmVzefrY;{^uT7f&G&>3==w6cEEgU^_dX zuxKTaGWqxu6BFYa8fNLfpDwlJH6z}NdC@YAVJdMd3paP)kvOuG zXl9v@bWGNNoe&*ekas9-xy5I#*>&{2nVD~X9tS69*TXT1$$8O%oMGS0##x_}sVO}O zbfDZSNct+sFILLHmrB%KAslA2G*j36m=I`+2!p|9>-<~GWgnpn#PcbB%z?kR#AW_2tqEsty$*8COdED+PH>sg8! zX8-#JUWp_6hXO>N0{R+w6%;-#egueX^dEWcAI=Rp4-`2h{c3dG=9))*Bj8zHuZqW$ zKD;yD!p;x4j%?~z4v7xb8G)=oSqrk+@dYW(%+2wL4=X3}qOmJU)i_ZH1_n$#ggc4Z zw&`CG(Eam3OA0hLb-RJm3qM{Y2WN1-T?%;EwSK5QI6nDEvcVB5+mj#(oP(e4SH^^l zln5N^iD1g^6#+6b@>_d#ZdUhyeHC5M z3E>Gl#K?CXnM@cOaHIW(XMMhQ{}iUZLa{^s#I;FG%)-Kg_1vA2h;-$QxVw8uzs3f? z?^5=N$f2Q%iM@Ae{YV9`ibK9=6f`vGu>R=z@0uR_g7km^ChU!uc5%@dOWfGnTAx|* z52p%vdoUI(eWuUB#nl0>XeGaxUnQfH=Quw*>*6KerVDzElBzE^r2FY^2Y*Ux(Y1hc zmCox$fjR}V`g%5EGBP1gG@z=5#OyXg4dLk6|0=hfQ}i2RVDU%)S0%9O>Uy&$4@{`l za6oOZ+ipgvc|7F{))3;4K6|CxUw3JyTNgYwLM$bc`;qDw%7z3!jRgrmH&;8|n1<)r zFVrR2ig_G$SF}9_T}$2|1w6MfaM-#K5Paf7^t->n@Y>}X-`t_rjMGsPVBmCU$JYAw zk;PrFvg!?v7-&zDfck8WN&!(>%H*=m_GS4*xuL$oX?<8-(uBsrd~H+iq|@7f7BRf0 z179FwlK^EE3{Tb>>}K(VDPQMHi^hpxv0NMnAZ#?4``H`g0WIT`LSMW7Ge}fz((c*(rALF}Y!nYdOKw$7QHJaOX!9>aH zl_HpvCw)-?Dl#rvi6xyB<+PH<#o|2oH9foKLk=?jjrMhJzF^IdAD;>ei^4ePn;(2r zzH5irOQ^{FS4;YnF7><9MpswFs_mKgsq8hTe4E{Ou1x3C&}~LuR{B5UpAS1hS_-7< zmvg(x&KKid*x~^z{`cYzEsqYe2C2`p3ONG!XnHzja|Thh7(&;xK{BoaA7NaxoFqS% zxMmF;g!3S?I#i*gLPcGceD%y!F{wy4_$RL+1KYN{ySou@OkSMy_Z|N^aODDhhb%eB zH>em*HIa$^SBvofNcYMVw&}87*;gE9u)!)SigB&dz@I~FZc7T>{MqQyN!@TTfq6Q} zt#q>5mu-51yqy>D+&atHQ@Q9+Q1Hqe1`0SG@u6KC;#cWW?~3mptZ0sV{aSL8fwrHr zyp7@|>P27e%+i`rt2${$u%@cG`md(}cE>+`+5T5oe!HR8(1&B>Y zp85s}oNse-LSbn!u=4TE1|D(TO%=jCPKO`EfxhKxhkUscmU1;cq1ttB?OgIF%gNO% z>7hS>2NTc?)&YGEam|Ss>f6T)!kzg-{--A&rlY3kRlQRX*5jd4`E%tLUCyxiR<>>O z(bkCD^MI57_YE`xz9lZoZ{Jt6ZWZPH%yi%TAp8&^t*&lVZecqRux2YdI-2&5d#wG% zQwXf&H%mcrF?rfj36w4QLnUMYq$qt}Mfi^@uK^;uN(Ruj?2CxAzAjTeKNT{yU2=8p zX>m9-_Wyn~ZmZ@R3b0*@m-NLXJo0IXQ!bq^9evg(li)d}G2q!dgZ5A+K^vXdt=iUR z<1t&mQr&-No`V!;iwsyp^W`(6JAzT~mK5MCii&d(@3G=fY*me1z4DBP`}T&6g9LNF z&OW%a^S$LtWMpKNFlT6MfzB)wX?&OkMQq~<2E?d^*-l8rfRG#?D4X-J7VVf~XZ884 zHliQs~VCm_O% z`(l_e24SKheyD}M0K*X1?cxi73O@$OUYMhl%-#;i_s4gXzvIU!+fh_W21W}B)`Faxu4L(7qw)*6BHw|SCT7y zcrlN7wE5jQWX2db8+!MUM^oXwm2iTH)RP zyiOK=N1d(pCR1&j1kg>wO|_!+48nl1cdVTwjzjH@G$Ou@<$HeUakG_v+-$gMJ(L~5 zg-bD7QyTw1iyHn zq#Dn`zZwSA7$46R_C0X#_;M?75^Rmz{4nul(P{lq=hxnf9zE4q1+JBZ5cZ6L7>ez) zK55;_djjD1r(aan)&W|tBgBpykPjy(obDS=2Wl;qNLTx4Nxj;pafB~Z2zku9dDB7srwQopC(XL2(O%CWuzn6`UxQOUE=`g~!4U)e{dETI)&+;|BIt{&Tf^w+b9Zk?|?*4lS2e486MySTY94I1j!ahjW3UV@f7=3WeCJ&Fz}4iY7P zN!cPSbvEylLelt5Gw#&r@u+R=rE;sr!e7m}wr1uGg9&+8l&;sf_V-w4`D^UD4wiY; zH7;;$UOVr; zhTgZ@ur7C#$w&r=JtvIg5}d@6oCYz?%@3lkb&lC#t6gDqueoWXNw~^|j-1fI=i7d9 z5S5=LpepvhNFn=?u$%HID2UsL$=KuIM-cb6e;^#~GFi?U7df_cgy(h@$REiAfkht7 z0xxSNOaWDDwaQ4qvL6&XE0P>KJGFQTA~m`dd|YF0fHA-fkl(_R)&&TmuM&_TrT1*AmPGAq(GP8Fu;%L4Z%UUOG@BGF)W6Q;Zsp_QRN5$kOA z57C{6M+K0p3 zDzI=pn$!GqEk0hRul<(i)PZTiX#U2h*L1D>!z`57DOWCl@Qx73FJ{H!zbL22(+SFN zq*$o47vkf*|MvtAR7I4Fd#*2t0k{#qM7gNI*LIW-83uh4)i&}opOppZa=$W#pF|s$ z<@JYN5LNK?Cb_7~MkSfo!?-`~l1T_`c2s#(9g+_CEt~l|hH(J`-sJ`iX99F)Mu-7{oF!aJgOW_@p=eg$CM}N{& zbz;IAGaJ87P(=(NzY`RZ3}Pw0s{zrJ@yX}xGwejgm+dXFJ<9%mx|~@_#nLOA0XP4g zF4I3g1lPY%L)I#jVq>UgE3ygIjnquD@yQ|9yp}fwXdJ}~5-vJ*h2(xf{vA`dUa=-z zQ#-f%CEbMg1y_l9U^55}OPQ^kTQ*Whn+AMC*p)-welO5zbA4o(n6*r!ZREz-8%vpg zQxH`gWk4D*#;W=DE7)Lvq4@iRYFfqqp3b9DvE+Hd^=y;D{muF)FSr-wPpx*g=JJfW z!>L7$&33BonfOOOxgOjv1rbf=PlQ&%?jqgkr7ta_2 zmbYEE{L8*bZtbl89v;-@0E$|=hj4a=B_(O}i~=N1&a^qyIOvbsj=6peF@MasVVS<` z7Zo^Lyce^X5Md`|rVX8wkr9~pC9ZL4GMvq5f$b0-$o~UamL(yG11YcT$onA`{1Z33@Tx#h#&>ZwrC)S{YO(kh#Fuh)iARCXLk1SrPZZ};ayQt(e!{K zaffCI(TCG%jMCN+;}+~dBTr&_0WPkQbT3e*zN+!f#m=~4q~$Xau!+*2ZrDM{fSEAP zv0C2C*tfnf8QU(H@R4vpeFth{-n0DiPqpSbwEQg!yW%=_1wHjj_G4I5WuxCcP7Jwg z3&S65Nas9#kDI{$92 ztXw;6MBJZogy2h!p2sC_OY>>=ExO2O3S2sShVfhYRMWa~#}AaJ&Px~%JwoMlE+N{+0gSlq zOy6UGM++mFO()~>*`~8&^osPwl21BeG~$ggUrBdXqjDe^83t3yo*X!Rj=WxZ`S9F_ zfGcs~`7#uCDKYa25(Bv9ab)KQ#=hk`kp4$8y!sO^1qXE5*|#ZqA_hK7WEGrJ4UX>l zXkd+YHZdQtDkg&4%T*E}%!`Tta7-GtYqbOzr~UMFKcPnskwXZR)_L3ltELt zoq2N@J)~UoJ~4D>`0o9ZdvBj2;mwYqE5j#T+X+I8 zThpgkKB|on!|vBHe7cU(Lmsc`EZ}woUV4B2{F!rAb4{J!h{-Balh~-Xv-l#}lbgyf zYlcM12otCSsQwJ2taROWzyPCUDb}LFD($c6IyX9nn&w#|OQe&dp$qW2r1PDm*EGJ% z_2PN)>Q+aSBs#Uw8O3U4L6#UO`-+I3kCPMds{|ubPhE}p!k05A>Z@ER;HPxf_|a06 z7X)oYB!8qPiIeqfnb8oS&zsNAQLS4`m85KYB`XFt=o^<@34(%*)eKed8+p{Dl|CDj zD!st>D}=qynD%Iq$kmcuHV#-#Nt;)R+?8h)1~P`-`_SP?KB)DOx~+EhC@6mXE5?v; z-XZ(lUjgHO4@Q2?%QM@26I4Nn>@vUFf!YgaR7Gq`F|+~UX2{UiURQw$H#PGZ^cd&6zIqALFaRe$V@}Xdhs(m=e-pJiPW)7Fu@w>_OaqhUa&abM{ zsH9J*F)x#SSB46e7aH=k;_Jp#3z_yGD7yMHLkB?U|HfZ)(}M$x^4`*UuvgnndvJeOXh>bsxYKH- z2U%uTbfN6&JN*~FCr^|&cj>o31orKjq@TX=&PdBVpcB$)EE~HRR*}6{^+NH82%M`Y zEpM1e&IAeiWlQ6TpluuD37Z3Y2Ye^Ar@u#C7H2dHnFGY0Av0EHmwUB}ST>sGepYwq zWa4`U$8K&ax&gfx{Vd;NU}-HS<`oTVYk~W_*F|UQ#xv!))*JijN#Eit_UBuM(yyg6 zx$gXSW^gYlbE(!P;bIH%@!_6LID<>{bJc?{9<8kiwVIJSdeah4c$d2EPY6WC^CZaU zi89QUF#m8N%46?mv>n0jm1FW`^ui^nW<@~Sun>^2lug4_Bl|`0C zpPP^sE$wdejnb$-v~2ASI>T`x+ni?7FE;YB?F^4djnrn5G$S3Dcbs4mv6Q(d1T>8Z z(h;@zZE8fTZTfc>8&7&eQK}HfFu`k=jgr=otAp|38%F*0WN#@0Rvbl+p7ezUMi?+O z=95?+2bY%UaEVJ=Wg`a(Fd1{k@~9nEq!|J*RxW=&?aPiT zVI^N*>nJ4_wj3(>KuDjuP|Ja)yB&H zv}1b+I<9wLWFXlmLjju8c!@&h;3Y;;@9Ar_5^L{@{_e9NShLp(s(~uDRB!f|wcnyX ziTlR>r}z?gH~f~8dUBV%7jA}T1n=}^%p#T3zJ>eKRyp?9OjUu7JCcs`lP+%;UAeuQ zvI3Uppz{#V>m}TjnJ`>20;a-3mWSuBQR#yAavB;*XX4rt4-=SR!s9kd#})xfN+J95 z+AlNZhAAA^^33A8#tLrb&-D($qrB>g>I$l={BMlm2yT`t;_<~lHP(Ycq@Bw729Nq$ zbg&uf-CFeMpQ7|$vrSNdZHGvXG3}7A14a2S_ZTyJigJ=9;`Wt*if(kNO4 zFl@2TW2z2sh#(8u(jPdE=PRUQOqJ{`g#PY-ot;Cqo$0jFwX8UtDeBgJeZI{G)&>Gu zvmh12-r#RDpMKVFA`>g`*mOy?7ZOR^85Tg8?{cG;b9x=>h-V@u@hTU zL=0-6umLmCTvSvcB8LH~&_SKcFPFMJY>=b*7JYoy+O=%aaJGlY zvDrFh$_i+y-xc6g?LLjFm{c7=8GTa@QYPkliQahTpUn8cu%|eQ0p6QoXa*@a6&)1wpkUOT_ zyYa(WX$|b>s)$8Ienmt^h7DV3-tC0~@@-KjN3)@9ZnL6r&?58bjvyBbV{4)o5fO=M zLHXy}B}fg@kIjde-~%6PzqvmcuMs_dn%5jPi_Pxra;ZAqN`DHcbZ8d0!N5Iu5w`P)fn&AMgay5<>IFq&^sw22k4g%}CFEizu6@L9}BzcN#K66mLXLtkmP@ z7%_+i^SSc!H@)P`11C_aV><)f8pW+%EU+=EZPomt*sT_!cGro>K+zWQdJl*XaikjjM$OJ70?frYk=se=RM zrkg?(EhTylA7W4lU{0~A&OS989oxRp(sK5ftG0CUs^`DOf4Ubhk>Fy7<+5zFf6umS z>l>)d5|_)y`IM##ny@=u_LY_TmR~wi5HZZl7`DE<%dZZw)HX`a&#qr~Y0+4{yIy(L zGMbD-M|WVS(#m$yTe$=_Z2IwS&@45DHCF@^Dmj_FC!e3Eg8p2L^0)CwPq2+|pXl_2 zurBz7NNmUoCm^LIwl}6R=sdmW`KkOVJFQ5kGh`mb22M!+zWw-%aPKYEKQa1W3(F)1 z?pOe#Ji7b(kTWdzrw?y7XP9PNeByIq1cZc6JM_V+dCEb0Ub@IezPkd_u3=5dlbi1y z9E=)@H+^40M+txLO`!|wJJFQfza?@=Ktd1(QU4xU*5k(f(5v!6MehCk_bq;x)Elq5 zv%ZR70I<`jQ2)&;rFQ

ucdv@4EsM;8MV(}f&6inG0=L9WnODnlHP?IyF0_FU7l73JYqc_Jb&%=0q6L51NqREjTeL zqvqHlL5wj75B*@d8Wm1e-^Is4=kO>gqf2&J;AWZ*2Z?Z|ik4Vr38X{{uA?8|$d8@7 z{7Y^5Ti%{%a9>0A)vv>8N_=X=fZmUu?@xyqp7I^r&LyIvqq;=Oa(@{(2%VjuuYPI7 zy0m^xKo``41Oc-1iCMMV2@+z$KLh&(t4f30zMw3YCF8$Q7{P4)-*2!?f5hF19^`6* ze(-o}J)%7eHPuWmFXdv^l}$|r3|9$~G6nesN!fkG>Lv(;!+>^ay4SBsT@14S3lb=p ztT5uK>7*WB9W4=VXZny35Ux|YUBgNEkLM*syXBOnlKq=B1HQ-|^_h*?Uw(Z6 z;3^9sj%bPG<+OH}qRkTExwWxjI%hnn4hxyfQ~8dG6aLb@$?&u^c|Gl~wX{laBB-B&Yo3?K zfNvU|^P7SOl2I5+n2^nW#U=&)fRf-?ty4L`6lb zsj2NC=b?e?&?q$)Y5^dR>VIp2|6G(X z2wfIqVW58<*5#Q<8VhIEy= zC2Fh?9qK6;TwP2=4^GS%(a}%Kytrdp(6`@>y8fRm0Gig^AqzWaaF0#U97LwXSr-F`)U(+^0@w|+ljk*-J)NurVQ z@$n-fpzznweXfXd8X7DD<|M8^{JkcB^xxO-C!wpa8}suRA|sI=2;dj~-plLPS!wIw zCIjm~=EWx%(kma>rXcGY$RhX7Mlc;49la7d$B>Yoz5==){PTe>18KfqHF(J=G%1PC zsv?Y#V;j!8KDi;Wv9p4zQYx1{-Q9FTLKT(Ls}HZn_R!#lPc8(K@e^EjG{S2F?>J5bc;Jtd zr;MXH>Q=&~N9L}nsi_^Skg!Sh>xSgnv$T&^x7j&wK}d<7>g|VN3x`S1=KttKLCmjB zYJcG4lZWo?l<3(i)!BsO?80Zl#0IbPJAzM~NTMD`A%_bd?W-jYob>!EfA0&L7(5JN zD&Od+tfQueM)=XG@d^W+7pyl#5+M%|PP?fccv$_(Nrmr>^B;FH=rJg8&Ms`u>^=Oa z?69cd6}tpTR<`HU7aE1bg}_x8-`VtmCVT!zs zoqGy)m3^k~)KNLujsp3)Mq1If?8V@y&~?p0bjJzb@VWN6LH| zdfpXBF0mr@=?CcRS9t?=Ul*8rMwEF(z^2vO40#QBiI#E1L%A9ifRV0x~jeUd8 z-i1`uS*yMO5|Hj>M)EVpo-^cQACC z%|$iuj>!EzIM}zrI+>W9yugtC4K8b~u7)4=R9Oa?!@>0X7}u`3i%yV5McUBnFc7fr z)?`r2XWsP-cSQC-8kQ8|6WUHFjLWbJ`dRbJAD3e>Z>hVE{HCe~Pl9{-im2Vu$AC7_H1Fq?wP@F zR6;Qf2B?W!lT|F3iM!Pp1AG?y)arBGea_t+WgPIhbo`iDb7k5U_9u#+tJm*ZJjQ;( zz2=7xIWaMEC1ONOjEsv5LGR*&9Jk+4IRIuoc>KDW zn+q?_X9|x?nE}$c1WjA~k?@O1zHT@atWl%En!_;>|3>7!<5vssG>DW6fTP!rENtkv zhJ{?ppM^XKGog0z(ap^LwF^%k$Q!rDd}GC2?Bet9L*6&j>>xdRmcwOA*|~J}lTq4F zuD=r_R7OJvbq|-4ZSYLuV!oEcS_~lG)em9JmnBeohINcs_F!Fr* z9Ff3gKb-c=v-M3ZHNeei=xCVg;#qzbChS}l~ zQv+VhksovW=eyPy_;(ukd*N<}6YgaMWxZg;n(~=Txc_89ef4*A!v|aYhu1Wyrw&+C zih~2Zj?34kUHB@d0GZWfmA5pQq@2L2tEgzDgao|!Eb&J39VlbU3O*%!I=7va4Kqgg zCm}X^^x%9m;#IJt3|7@4j;z7bPD!_okBCdg6CrnJOSYeLYuIxBAa|2O#~D0S5)x8e z845_Y82b5vEwh|K5eDajUcPx*o3RLU&7^MtZu=Lv0267y7EZwS1v zq}^o6yQB4zMpACHaJYmx#?^UZAYm8|Pb7ej}}JIC+E z6=zfpr=2srKk7T{58ox*y|0dV+qB|;&MKGXWR=gk#L{WAJ)-M*)*sGe-Wv_)f8XUW zB~l`-KW4|MN@VIQLGWF@Z;4F*w7*O}Q2o4q)Ij?DP%Q*LfmEw>{Ru`{TfV2kv7AGR zuhc8^yvaq!dvO^nwA=%an#Cm%#8>p+ZfAy$=a2SGeI8wdw+ zeW8-(hiPuhWw$;pxhGoAvfLZ}&Fg*f=TX-8$xu<(tv46@3r$A&x*`1oQHm96Agddj zP_`CN)~{xkfI=ZmEn=QphM#EjaK}UKII;pu<(JSCpN3_uIC7|4i1y?B{5?1zPNrGu zg9?Zd5j;1{z`VV=8JaN+iW+Xs5(_vL+R)X`K6k>%kXutfwruEDDpOdY>I6NJ^L5fu z`K9eYg)+L2yhD5i4Zst=hfHGGYxx)BYGZzfvPI&|JRY+Rc|Y3sXnb7RIF3`|q6z&u z+6J-UxwYw|7DAMcf7|Kv8E#|W+$4)ES5(}uq<&hFP`>qE?;Z9$FT1u;&ZmC9&8TSp zK+310(jxvi^s#G}f^B}6)Vs`&l!Jr2C(Z^{gA>2R{iW-md;U;MfX^I7E4_rM-~~*LK<85ZX~wKvGf%#gUbaPVF2- zcyHDmdQs1`j5YuC5=U!Kp!~rnlt9DIjsr*H0FT4)3>AmcMVRFAhL9?*(H~l7r~|Vq zv^fryuubT+IeZN>uFD20Tv`_9kVZ@$NSC#jkZSnp3hY#?!gd}k(+1q^tz78d8LntI zx#FA4jzvdCf|#Dd_Wh_>p28sG^PwWCN&rA=(k6HrH9&VzPA4>}QqdHKru(<8&eFo^ zqUq(L>u7g5+~r({CyZO%7~>^TNWjR(0pe{cv?8hQy}Pg1w|m;wnvVUoR7yX$wZctv z#aJ`|Rcf35RO_AvT&sHtEZ2+e4neB1ogv|FzM+t@6ZbrM=lKx%`JK21Ht}Iiv~1c( zPr)+&Du{Z?mzU{>?iY1Ex$V2%-An1vqWStUDy{Z=(`~2ae6{N#-@BKz z>(Gh4H6K(0@_Z3dvWEg0XZCGu;m;a9jt4K4b>317wF6$TY`$X%Di)-UsK6BOtDvlo zgn}Xp8yjCSXuz)17Iwd~ielKy8HOw!H=}Cua#shk@`QXyt5ik$9YSwohq~ zC1`+9*z`g8q1udi3+@`;ODPVW_1>+x)q5KIoCKZTY)p#W=x+zJW^c*L$*%Q~8rvqJ z>KR(J2fjSnAjD;_!*J;~u8FO|PB^TKr0i6e{I)2%mM;3G6FzGql zjEIcwNidbJGpiR{dh-<5Z)E^JUt~~i6g61R#GArf8+yZ z0?n1$06`=}b%$apMBe>our{u5h@h50|B=mriuNQXrG3i-?sIkSoErilt=ERc=IoF8 z>2kwxOzuX|blRPS%PBmTrWTiS+bDSRXLb4X34&07nCor`Pw?fSrCqOheD}zjn3xcq zD>h@tD?WXvd9P3hBKkTh*x!&Pu^y^dflL70?83ose(;*Hk*$>K1f^~6?Eh|UyS)4g zW;;Uh#=E#edXiB%+_%@zAW}l`n})C|I#S+TBx=WEs~B?ViN%pYl9?SGj~l%E=S zNEO)lsr*s#qP*Cu*ya#(Dq5~e9A>BK7V|B6+>hdv6*x0)J!yk{rJP$lAD*ef$}1B5R-cOY;KaJ zdj+o6N*|JKyXW|fa!|RQNWrH(Zeg6wLxU$TiQQt*L5ZMK+S?wm?8cEnE2X^0XgjYw zZESb93`FM_!Fii;AojCm{*VQx08-cbmf!tPmja)&-#uhwMi?Bo4guSBJ=EuM7hdX_ zT_<^_J2$u1)z1BeGoHyC7n((dh41-*++=QEnXrvFC&k&#;gc$ol30mTl0D5cDi>Oz z=TQYTxi#fbP*h3lQyT@NBW5}_EeWPmC{kN9(HS6wQepvF z2z*DwrT@!R-nDBmv6AekfxVPcwA2aX{W(#O5mW_*i1XGhC7o2AI>*sdjD|ajziH0z zhVJyOPgW8~Ei>l9x$)A|iA9fc+zb`-E7`<>5xO?LIWeU43Tb;kL8RjsGq7+a?vy=Q zzLuRGC7E;WKm9Ab-hL=mZ67Toc@wauv@B9Q+FFr}?X3!@>$Qo8Yu;y6eEocP^Ek&I zfgC)2BxROZbT_cqq8vP|15dkP*Cx+%Uyq#(Yf^Cezas7ln5pUUi$iaZ4P*E zZf+V?Sk}e^-(IIy>d~?XoMKScHt01R8@~*QaT5Nkpdu;f2w;NGeD3q(m1W^7ZF$R< z%a@&mqouZ2^vxG%`_MVNhVwZ6lw_y7t^J19yLnYiQg(*SE6-*1QdPJ}}i5^oOlAWJ1da$&Kr$ zHt|QmJ1rmO$9jp$`c`M}Q=tC+`!>?Y7EMl?8pO)Pd${$-$5$~f5z7h5nz5oTKZ2q- zoW?pe(Z5y!sH%z3f38Ci1LvKzVKa_RYeepflXPH^a^O4oW=$ejyI=J}jwIVrNXr+U zu%a@2_C?5+%y}M*Hp>ArupNI?y2B#VfaR~nIdgHaeS!_rsTINu#jYMQPz zlk>hrp+DS$zlU3XgfN+iGB7UwZCsg0d~j10fjOm!xxfS!X?a9Qx<`tOP6Oj)UemWXTj8|yACz9lzr{fpB(z%Q#ff%} zG8GakU;4@xHPSStiN>ZzdAmg}!97Sdv2hHhbg)bFX2ca2evvfxW_^xyb&B|aWc3T2 zM&+CLVQn7!84qu|tac}llsgWZ{*pL`t$&e!yzDHEC>MCoZe#btrb&o;ipW575 zz^8FZ>(7+aW!iCax}3lm;iFH!*Y->6svQ_$J$1m>Y0T1G3^0fX{1q=zCe138Kb!#lD{H(TZO|8{v#%ljFvQt1_dd193>in7L z!Y7PxrOx+kRz;%@I4Sn~g8=|`l)C|)OX7eWJ41o=iEPhOYDx%nZ=W323+dHck%&bD zSAFBgml&(OhvyjscuTIi6P|7TXgZ#j2larLm5!kMnGMO920HYFc7NIbdHniL#g6^e z*b}7#&bzGv4_6njJqxng5cbLt3IfZij=y7l1aPE0wT1v%`altt^Sm8zKjucb7kBsl z`BujoRln(_U!UK-*_km^{-aKeR`T2Twbm3YtmqG&j>MKf8hrRwqCN+YSMD}gY%kxD z*u=oMdgQIGiE`A;H8DV<63Q;KiRpnM*q`;pkZ<+aXKiMPS|9JPHE(VQn1Ox$RBN|n zzuN>8pdgHfq%yWLR(>GUxPo2@GK@lBhkEkKF(c_4wstD|RvQ0qmW-NE_txZR!S(4& z>B?F*oKd$&^q-ZRPO~r4v1irN0{4ZeL(}J28m!2tOvunY9vE zIn#Ob`1MEKigt^-9OVVUAD6pSL=Q~_s*)na`kc=1_%W@dghK(k^}LuApRbuDmNoe0 zlT2%hH8z94;w}fgoSTEU#1gpK;N}Fke`N=4*i0|GwpCCK06f3Ic-HK}a|M+MPB2dp z+gA`9)TZpk)B*6dTpT;@*0iAB3Xl;Vg6Bg=eR{^tFiEpGTy*!D{BaC&_Pg5kArshh z(E>$xTdkpFW=zpPffWu zY#%Ljb}u2Q6*%ZuYY~?<9WD#pg0;o z5ueO^O8v&vs4En3i)0jc0_KEMdLu~cFBk+yYMi!7+M-U0@KcK2We-{H5D^quN;5NK z1)je4pNuYmgI9+J)8pbV^Spd*5x=}Uv|}YDB#insQppNGS6kLrB5O7)`v26brnsC- zm4oN85KHSk0X&^HIau=c%q3T3_g|4~t1n|`5gs(nMb_B!$Bmmiwb^MXPGhl&ilJqr zF7KL*{ML;8MvDw)&IB4&;R$b}0-PF;NG38dqNcw2R-j}AH^pLLH$P`3*?aB6=q~vMBQ<#SZNyw#E z5XBB~(eE(dQgbo8$|fFRHj3)#s8fG+UMsiX?+XWG#bI1j1WcXZ$W;&Lf{q6Tu*~KZV3Xq?c5^|*)VYaNFCT7rX8N$>70G`{4P5yQ94eRdq zB{~@7_U_ujFx6C<6%yqaTEnVY6n^o|-p=&$>S9xv-VMC-mM7gtWmxIb`G-lIllgqn zi<=^0OhPfPj>N;WRY<}bFt8tyXpWKB=J2!ux)jjx%9gs^(2J-FOi{1#OIs)Nk=G2> zI|OEU+!Ac>5ifnMy2YRZXY+Q{9+cigj}*?qC_Z;B_ku22c6z3lP*0&Fug@gQS$ybX z0a@YxKX*&2#Gu7BSj8${$ka{lT@%PF?*_VYCGK<%W}DHCW12Afot-1%BHH)L#Kzpa z`x{QC#ZGr>wb!l*DnEZ}p4JNm(61@c2{5El>=LT1X);R|%-Tn^7>~!vvast!cV^E0 zK5%E55W|+T^mbhc_$=wRd#H&`Vt=yHF?e0u*loS&o1 zb;Ej% ziz?>^G4cl+C#wj##&0%y-gjP0yCpz7Y!0jHwR(_ahZRIH73w|2+eJ*P4Qm6?dhiG$ z@J)Y*?kT+i@XNtBS`k%Dz?mF(JV2LSt#=OuvsKH6?y)OPYxkCYi=3WlkAVNBuemiD zB_jtxh`HdkLH;v{BDD|RJ@(5V*1@uPnRBTG8`&K6(K>DcS+6U7oa}Sd(z)DxEbT3h z^2$X6d#|Yd)ErjCc?Ge#w$jppjTXn9TNe|=K=+Qx&zT^1-bOWFOC(JN@Yq+2uKQv7 zHlJFYYe#|7N5;VcKb#Q%$DsWxWeZPRCMOeN2F|Q_&J>S=W{VAd$61DapDa_RGY&ww zv218uw~wmQK!iPCm+r@q#6C8O?6YT$2E|Kb7>zn^jX#teEY1M&EH`KCwO5NyjTwH=>Fj#sZZeI_+%cJe%q6t5+ zcF<;KY92{}-qf!MEUMCdqQ(#0bbN*H!_)-aFVz#NV zDE3S1d0qDig}rao4!kd{8VHi`KlA1{7NCi=;K(1_9=C7UR&-a$Vt@ON=z?1eolgNG zRFzIMKvc*Az#8n<@G52*{u%E7GG5-r2G{P<@r8>Z_d6{+3_hQj60bw~4ZA07FQ$GL z4#(g{!$KC;&&%&a;9G?{^OKp^N{h3*Izyx3pvSbxfBF%9 zGnSSFPN}{b6EI8OqGfq)c|AP!W#@KJ?3g<=UCP-lv{KXh@0?DJ3I1X>QeeQ5yck3B zJ?l5%Fn&@klOQ$nq|wmOI60{17W9V9Bhz@@NJJo5)tFrtevb?Db-DQy94{oS!q{n3 zPqRditOu+x2+i#ZH{FzEC&CBl+1XKr#gc^?`x`-Y5a3~v3tC|W{i=Giu0}VvHQUlo z8$WVz$1K9{qOQ!!y+O>{Qa)g1R7^(`^i69=Nq?{hZ`18xM0;f<;4Q#h`RQS|EtP2a<2gc40c0WI?2p}8OA zU^X9tmyNAMV{lNHPY$lK()yAzQw%iYOZrQ#9v{b|Aba<(7OyKhBo%~T{13PK@OKDh zidvdo?6?wh|3=0nF?|e+9T*?!?ndenJO0gxtNpezSj4^T@^Xr_0^?P8sS)_A?K+Z$Km7l=IHS63Y zT^lxjR>!b46tTmj@xA0Edh5e|Fi83mU;V5Mhn&#bY;)Ro$kT#AkiJg+wr+Y2fXJj} z3bUy-8`(Zy-_RWStW~$Sp}OKh1u~1*dXw48n@z{bG$BvVKAQO4jEI``l!F*h?neLG z67MYeE|;Y!nGaxgOHx2m{{AkjE$x-VA;VcvB2nP?gJ-Yv)@uxKai%vzdBd7n45bIR zpu;>>T|*}`L{WyJT;=Cmbof?bVs;<|M?YaT?bFGhcLTI_+J=7Sv8%P#R`}=zJL5m} zkF;V!dUS4*Rkv7rqNbRaN!KdwZq_G>602F$J&z3h=VTimqV|dZKla`;DynU18wC_4 z2#VzFRsjV8$vG$jA~|%^Ip<7&3->RgPb?CO?zEn&MQscYM2r8Pt8t6L*<>Q9#?6ZGvZV6qKSCcix%Sdl}Fz}ypZt`1baT& zXLx_im2jFnPQX5KoPkj za7_zyT&MQ2iwXdb4l(Y{OMl#V7O8URd0Ow~nd*_iA+PTHn&D(O{i@KiN2I}|W z7h35=h-H8ooEs;6>|p(t<8+hd!g*{#`Vq{gFeC(@%(0R0Xe+%}K~p6JAbmaQ)fUn% zg?zQ;eg7>o#ruMom^cbOE8>w9SGvk8?(J{NuX$>FvjSea`6$qnzEfa^WH2`j0-KS| zm{7Ru#iwiTTo(_@uUHfI$UblSvV$X7!&EQqA)J35D8zlK{_zDhqDUbZ?ODa3PGmk( zMrA$C`~W_MBU*};ZIkFFm#fQY;HifG++*xiQm=Hw;Fe9<+`KjJTOu_~l}%=CI@fm# zSh|i-cA7D}$2hQbTjw?--l|Eb7H-j3qQ$a;=o2qnUiI1)J?1!Uc$@r5_gWzF%aQ50 zt_Af^6D+E=`ISj>v1#f33%e9X?o%bCY?Dd^lPS7kQVmc^U(^1roMyhYbNUV#Mz}+9PUdC@-|@&vt@| zbk$QpTpFMxF=DzwgVKvvMWT}V`**XnuSStQ8w4_dAP z8IoLT4oB)oFm6z~U7ekseOiVA(BM_+5yJR^%B%UXFhve9C>WzQ)F(jZB>n4{!52o= zbvBpU$JwZ{VX}QlDZo%l8de2obNeZy@OMA}C}Kb!L^*mI;hzxdBMa4`kWg7(GhE%A zwtZy!x|<$S=ge(dT}?UnPX44{9jsDlqTPQ3cqe9#KrJKtz9(1ScX@IVjt&fwb3EId#M6YF0#I zu@28IM&t>?=r1b{zG7!L!3O4=XuTgP2i=k)oZ0#6cl}|s(iioJ0>&XzyDF=LweWY5 z%EL^YWH{=2@~l1Wg68`!$K~py+5+|JH80#{w2M?DBW_b74fY3LnQ9Kxqgyc2xi%rN z;Qhu-Rq8;zqQM=cnWy`hGdrI(9C=N4#P|C31Q236h{!bBcrgB{NL?WZ*r@jVSyvpT zf|j)}a_yK>^LOR^vJUUvx1 z(bgj58HoAQyXzSrtkUpo+Yk3^U*|kiIX`d~$n^T!Oe>Txrl+YjZN6S5MF({Ls3P^n z%V<2GKfKnDHour+s&QF?FkZfCx>a+6-Nb_Ez(^7>nfY+N?J^5susUR=ceCmb!ZLa3 zmdHrjMu5CT9wr;4F_}x`R|RB3WZ^|{_wJ64X5|4IRWDb!gUT2pLN_bIC#L|_jp^xj zZu#WoSDmH7%1|8m7m-p=3VeQ-$2f;XsU6y{mtx5tq3q-CvN(3EyxI#RKeAX(`HZ*K zXc@_nU4E0SWd&Aj2F#bAnxP9%` z@+1lem-9a!38h#Qar6(U%2aQHHGXh!dmeHduJH;vCE?GLtz$O4VSB+&`>v&0!K&;wK9CWHDp;Rz2TpJ&y1TvxB#f7)kaC#E^!!}U_KqGXV)=}#y(j8bSSbow zs$_Y?nsq|+bv;v$Ke7^6(lGbw_6cooi{V(}ovD?#L` zzmR+6(6tJ+SWylb4D0!9f;Sgz}H#fZye+JvEbzh=V_6pD| zLy7UFSuxpuWCu?(fh1lFKyq$9C!}pGvzk#Y^BWDIT6{OFc2~j!bsqj1-d+$D(lP_| z1+oG9MVZM9!By_!sSe=6je}cG+Y|D+?i;`*dy_wZ?s|zdRt^&ay^mrdhiPz|q^Gss zZ5W0eU+tZL&ttL61%jL}&Gq74CqUr6oCzE)RKvPjg#MU9Aywa4V)3mPfaA`)316J; zQ%BvTUr;!CQ`D<4G(+~iu-Rwm$(?ku>uV1miHcX+==3bbn%-xibLCL`R0w~A1D^@_ zK-Z(E0$H~#{+c0Y_1M}S{UXOV@6V8clB-tvXOkf;%-!zKUq;5tdyj z6G;5t>5CO92+rB-f(p_;sR&~0@3(1)-s-XEGKq@is4-VCeH3$Nl<^}j-% zkXUc5MvS^%c6NIq*W`n5(z6&!pu>m!|K+>mH&PDIHFqN5v zTLUc17rdY-;Mr`dBQ(jqbjJCcV56FCl=PZ1-$wl4*x^{mK>`pUvB+bZ`t-@nY>O*} zzvzR};FITPt^gws`oPy9^=RHztMo+YZ1?bm%>(lTgVgjLiP<4zHS^Qc4#uHg(lz1z z(bTcylF>Ga*#l&oszmlqZ5a#(W`ij#F7p2Qgrg;2Ho-RC^;IBI{paac5Jg1|m8jv! zE|O-Au91~&_uP3Q>|E9~-3>*9wY>h+|i*;Y*kUGc%HYz%-;)kWCeZwZs3pNO8~ zB!|1Z?TKylPJgO%&$@e}j2V6^x;37puvybY(pkX=kJwl(YH*KU7?yY%$e2&~3F zoc9^Ld#Z=*n{!;v<3+-vgPMb-wO4A|V%Lwa>j8HHUiKD+vgD_iWo zS8W{!4a$s%=BUShjK4|IHytcvKFEB7+%9(3#Hu9FsE4)w5!=`#u-5>ReIV6HeTq_& za*?Qj(^{&FPmre%(X@JnDKvO5&}vKTrane(0i)P_f`vhet|c0UfoB{CM6a}P_G``k zJ6C;)saDe$I_W>q1-zb_GV!ExN&1V2vv+l`$vmqoY^3g<0x7qJb^MBVLdytUvyvnjbxXVXyT| z5obEtry-lC7uO6cs27u)Mk>dBeffqQfl_%Bi_p7r zLxMF-cLg;ypMkte{0wn%8og5bV<{ZF_UScfU|{U&4ldBeLgJYn&KG>jHy>qDuS+&A zc%Mg{UFKg#)}1oUJq=vExQSIkkkUAxrt5Aqg_zY_JG8HlEM!PMDl>_OJ&K0yYaYHr z0(C`RN$1)SE0(QXqsd8k9HQdQc$8uj3F@Y2)TcKaZSzizS_VOreU-dF_IC`q_4uLh zjXP7hW6{w=au4rPd~WUd44joy?E~5Z~lX|SNUpHVFF`b2ftJ_<6iJ+sCNJB z=VdC58|?Sm2!f;LA3~JlX0gS?3V4dLU|zkojMC62Qo<21I48qWXdv8t+YGz1k0S7J zPPvd9wvB7uPV+udWro-i-4c7qaK~_|Xx;fL(95CCDY(%+okN!+p}^LjugA?oBUIM^ zI&Lo7L3NuSB^dj8Kk2ch0=p}co*(YPp9AKze83D;*{Q^F99+rzunPUL8y^<>aT55M z&&TFh>Y@NUkSG`iG(GSII5b;gqGx~5EoWBZ2=2CC`ejz1vu3ZO>T$ZMJ4$KY6^F59 zWTro_~M@`?sR~omioci5`sf4G6$$e&$|7hBPi!fA_8*eRNb-)iwu&X7KiY>K|{T zkk~-Wo#{rT%l?G@jk<`%A@Rv{T{3k!NfdL@ihCIV z0~()j!-@O*6`v5x0X2>R;qnTv=m=sFN_#;7EsPKYDVMe5CQh0<#{SL*45i! zaTSop9Vk$DOE~d>1t^UEJMr=FpZn~vjtGG|1#{0?#@EPbdlB;Q)W+Y7K$P&-7I0#7 z8+0WQP6ST)Dgnj*pC7tUv{(Vx$)75^g)Y6cg_2mXA}?B z(#VgvZ12l{*~*%EAQKpteb4MMMOfM#GpkX2wx1bzh4Fyxw1{GqhA;1?nR1s`R2ieeu6>O3}K8 zFCroY-Y#pb+k+ge&6GAQ;UGBJF)-U3bx}BTojbs)Z0xSnm|iv6#k&t$6byXJtoe^Z zj95|klRbBRT85#4}#&+3Z$umv%ntp=hvD?sPjOz>JMY*F17C83r&3psGn@* znsvPB9Pa%n7;fH$6vKy=rC7Hyxx(XV)GZEgTj#ih9;(O_CnG_xVLE8b?5tR%t>c$h ztWJ>1comrTVYU4HE7)|-H1jw7D@S zpY1L{&j(uUC#_;)^y@=;dOQ>_D!#p}F|c2VF2UkGGpJXo96PE9_`yGH2Dj&cs*4r8 zp%YCt!OT0Gkr(hf_g+(-3rXUUl~1!Q;AafuH`^THP7V`aMBV2`oeYlb`{g%_nP?I6 z#Kd}iA^G|_pGxJR)moFCesLcqt-q61PeR*;_oBRxL+SYm)){_1na*tpKU*#ozC;(y-V0yw>MtN=B#Hn^9lc0 zvppJ33ioBo1=M3)>iCIi4%-%J*wss?#N~pS3Ew(xJ$|1g z`RrqTXINaN#5dJ0nvyv@bqvm3)&%z-R_IfN;mHm0oR22o&Ipcd(Q zD0f2(R-SUcH1TQnXyTSto7DCkZtJtmp~7W!bXubnp0ZAOuxmP=FN!_a;SXV^gsgX6m>o7Q&CZ|tS?f& z#c$iD^G&AjKvAQ)-dlCDlIV&iNoNX@xz;e2lZE;ixiFEsy-!_>bTH6(&u5R}gE3EQ z(-Tok5M(}{pS2uMlxxO(xqwqBYIbwSZ)i_Z!1^NUXkx3A(UqM_>_-)jf06po4>@9L zscHAAnG9^5qf^h?LnXq~;b@59glKs!B95AlrC(?pHTT==Pkqn;Z51GSA)csQm%Vrn z{Sz+v<{g|onpONzgL(mu*3B9(I!T^yY_f!ix_ZvMi;j?rwf)gB$4 z2%v2SS)NgKA=~0wAe(-A)2a$7q9@7Qs^;K?GD)7B@O?BcxHu};iWrtem7-}o7s?%y zqa602>cDq;jVQl<_u0vA&G0tvX%5M&Jj^yH@bZ|`Ohm1^eHK!&B7sWv%rnQrrlhAY zc5hq6!FnC*M;Fy+h|x`sXieqSyO<#3DcLhGzc9BB;ajaM3V&+UXx;|OPkK{rrJ8S4 zZ~_+OcUGsW-zsIK-3>K38?~Pu(Krtdcq2;5cj{$`9rkr~K%jRp%GDT|OhMd5t<5`c>``E(!)hhc&575A&a zdY28>J>`SP(Z5|SQ>!YX)G8e>D<%INHhlmBR#X&-#7;rnY0lfxA@(Qyn}vLd<|9FB z`bC#3Eq!>IHc8-*Fr6doLtkVTN$a+x4sm!iwb6O3$AxcfpQ5DiU}Y&TIA&T%pw40A zlaXI3KJ7wut--;~tX3LVJxIF9MK>qPd2YtOo@8Ky1*O@Rr#w4UEJB#X0(JI729Vh; zAu48S(kgys)0Wn$u9BA3hm~xGqCKnU^V}63o|+t<>XG4N z7^8OK_M>mhi@<2UNaGXdrrO(oU%x09hAbtb)mnLOh~toj;4X70ye-C6i~pX6RExPD zYiD$CSm<^zX)BU1U+<={Ay`v@jz^QR)S(myoD!IjB@>LxVZ)e}H^}|~U(oJ_46p7f zSxsZZUdyyMPqaw&eQV*vvkFTyFDzB4xB-`Zs=;uGsAB!}4BPSB=!&(>2{7@!xxH26 z<|SGFI3>jbenGi9J1|v+c%y5sO$(E}5LLO(mS395L-p3?ngoWHfU=8PBqqGn9P^ge zNDV9vjAlhCR!bs(;ksLKu}qaP(GAxYzVoNimfE?!xIm>^ce_-#K&F6#FTuztJlk-W zF&Ay9D?c0lcR%-1bPk&nRKTyFkUQI-mE4Z_GR1bfkW(nBC*RIs9b}NHNxN(Xz1C8| ztP^6?yTEFh)o8BB+Uel9LUSk|WMJ(E_bdoHQ6B=@IrZ}#G%VxJemn1|InjdAnp{u7 z=9)^M*5qJWIZRN=O1=%URTro-RJmpV8$~- zsJ$mXy6mK37V^$>JZ??#bfl`b5FTPG?+RemD&aiW>x|`{+47%j^3@s?zyrr<5=$nQ zJWlS!PqK{O{}jl!7LJ+H)sT?g&>bIB80Y^)ft|8X%?cUf74OSx1RH zN}@SF;V3+chR>cW zxY&t5LsUaU#$07W$V(m@qc|B-Y53Xll0>+##gNx#n^-?d)v^jl4w=L>Yn8KvRBzbS z_nNASyuqWUabFYR#uwBzykWhp!ldnLs;KEb*#xQCYuP(*xpXcEZ022FY#T3Y4W9R3 zlTQj)I|&$`-B8YIj=NdvUEM3SI~UR`(ZARqXk`A%9N31RPis45?x7B|t8^WgQ&Iv} zZB90Op77&=BmaQ+wA4Qbn~x}WzPbx(0;u|Q0i^pl9vMC$P+Y`k>GjeK## z>({?|Oq4CF98}+q%E=f*Hx#j;gn5WtaL3Bh#=C1mb&xd%(v|^^ePKM!P6=V_6JrEF zBKg$ztMN<_A$PEcuG6W-h2PC2;^BpTR}ZEQAy1_)kH@=2YtBlVg>$)36>igRj|pgj z`b1~ZdK5|tlxn1L+c2e>0uwHt@5_*YwN72UC=)7#qcgM7#M)@@oJ@=2KO8PZO!Pb_ zC~Vvk)9)GeZz)ic6%6)8=CHBmF;1CU6c<9<)e@RtE8Cq8TmQ?mo6l~x&W;l5p9rl_ z6PM{`U%IGLh(}{ctm|Sh^EQoaiYO=}% zALUh?y(Np#iuB!L8~wWSK6YHYQC+G)ok(}#I;fK+iKuNNR@sU?X}=VqSU}MN3SJ&3 zCrb#MV4$bvrxz|~_NVlY z4X>vIG{Xq`Jh{?P5%<;X*Mc-%F4v^<_h!(k2z+ku4!==e`a}U%`b|xR&>9aZO+h2@ z#FiZ$>eh`Ap|AwP;+q@V73w3KJo)vufg}V;2N${A5av-FUDHI5V?OBDXf^*8MsQ?t zvin5_#CBg^9|;3R0ooC3H~^C(tRwRid7o#+yuaJD<3Cq5?a2tv^~xU~h99D}XM+5_ z*J27=uBERC5fA@>_s}tFl~R{|k%9R=VXTR#w#IBbJd^F-MuOB0)D@grT%rqzFh+1N zBU&Uk8jnnf-srsi7a z#y?y8Or|;FT{h?{Zh#*`a6N@6i&}_rpWkD(_^`!j!21?YO&`s3d>Vm!d9nQLJM0q? z0^K(OStOEY(FzN4n~r~bAQU+7yqIV3%y68Uh{pLlP~xNHjB-KNM(CCvfeu3F8s_AJ z4B9dm%g(}iTH>-aX@l(t=0Eti5R+2h78_gGQ=f1@*=E~qOtf_>o}BwOz|iI+U`@4s zVNtl2S;@Bkg|4usyQ-^IA?m_jDeVQnH(`-4Myp5=@<+ygu+9`$0aJps}TQQS`9Niuo*uaFn`Jk`BNux+a>iuf!miyV0PX90LE&PmY~>YlR*$j5?&|*T^vE3NJDEA(93H)c6OG?mCRR`z)tThzfqnopooW zNAY#;CCy(d+&tV-$hFlkxs?fOMl|n=h~eV3kE9PT9=UM|@UIZ4kLz+(zE-8FVeApK z&=X7?dz`bI63y%sPAG?RqvEYeH8JhC`1V?$wmdwER9*6!VuRXUL}xzYQSxHZapY`l z!q_-tNr>=6Yau$d&aPg#NO+uU^;C>?b)Q+mNuMv7{YqM5LkVx9jMnzK|J-c;qku&x zYU1jRDtEwjY|R;seJn|&GUrrh*K+O^91`*5#ojcttLB04 zh6R?nc&Xqq&p1)cy)B&8f8Dei!a`YeHwWW=p(Emi3Vj9sps=0+O6Y z^3oWQb{6kc@>$%E8MfCFZZ;<{rEElj5K@jS*N3L~%g!2-*({4$VM^;~q@6$cmOFHP z&l=6kUKHtaq+6Qqt9a3^WX0{1aW-utYbld6anKZ80^LPq`#iE{_YFY8H<<**6-pE^_eFs=em3>RM&rMvc zv=C?B*J%wUDj*y7r%*J?cQ$d(Ni5glR}4l>>dA}cCxp0}aRRGp5#UlP{9kfh4$7(6 ze#oYVToqPiqC)<&02Ou!^LEuyK>A{HjhOv7nxX1yT!m`~u%j5@Ow+?f{=UeG>x)Q+ z*%_Tl%JNAs`H9nJjd`9AW0pX;Hs4GZjoqRxHFm#CYphhV;Bg|N#KvR_8ALsPiX`z; zWl;%PdIVWtJMBQjVa#9>$XU$HK^Py8OsFEA+hW<22v41@gf*of zJ^&2~5Y`3lsbn=905ICzC`9=f=r@zhZ#*ebpIqUO|G`>d-O4T(RlWvqrg$r-p>QJ?~0My`j*^`56WDJnhKL+89+GmKyU)8bav#+R%oUNvb|2p?nsj8bl_>^tW^^hl@uck^Ki7N zR17-p1l!jR7S6j(I6-sy>*{n%SN5S8KRVny3aUN}H^7nFvDbUTD2w*Q%7X~x1qs8A zQFY^k75iPa0}1pXB1E)XRMm+i^EvE<0v~LjS$kHl+OnriQdUiL)kBC9;k3o*#$u&N zi*)GpSFDdGk<=WkLsvNl<67kD@6WOokEK*H(uTwQkhjE@m#b;&4xjj~I5m%D?uR58AHEk-w#S8xcKnmL)C!qFuGrf&f8M|0dZv+=yXZ zN~e#}4dJxXKVKLmwhp*rg3~Durk+!S0~oax{*Y^d`k;Yh=cn1A&YOXMBu%MopdwBi2h?SPQ)(XHEgB7r%uCd-kikSTUSxnvP0{D~sJcH!#BncnL#NTU5`8s){d zwL;1)5m#458Ptkz;$|`BD@XLyP9T6C9sog`rEupe*Nk|^dEeBWsSC!PyH~1?aZEd( zz)*k2(spjWVIc$g2?Xgp4{Lgz4Yn(lXNzJaTWG4o0_4}Y*#SIF#2lAg60XhpM_7G^ zXL`Y($)B{Tn_3M_ycy5xr&(^smnc-|>EGz22C{NSazGQ>zsDNr7@m@;fxbxJ4F)J2o!GKN1yCQrFvAd3J|#Egtmtz67Cj(x<~b-5hmI$>SSoDx2;uIW2tloH+f7r%H&!#xV@FA z><2XXB%_wjnIP*OFkb(k_S}*IMmHrQ+TBy6`dHEFgARmfAiOKLBjhtKSbDFB%6SY4 zZK_*;VsvbhIe1O%HS%pKHu#=)NVR-Ci3y8Yek|fZ&3bh6V};|%hU*8jRWaPzY-Q3? z)!^0!GU%2RbZl6n<*VW0@!@pn;-!a*FXmNun&1M!W&l~~YBmtKoLEIA=D0dAKtcl+ zt-CgJ#++>E#+klNy8`$4tft6T!oz6eOCk*EQ`peya?qHk^gg=JsK=mvCWInn?%LzyM0uA@ca+?_-jbMC6Jb{a^)W|yyJFu3)h z&`e*gUp~;Q9$CWjpb&fftC(?1sq&k09jyZO{ujIfKg($RQbrPiZ<+1}xrIC3Mv!2- z5npw!3|GnF#yIw5wjf4GH1E(sx8JKlKXoES2AMTN0{KV*N0CEaYv(-`B)KRTJV#mw zZb_wVJ1SmmF05WC5nM7ZpvZuEM}}Qbmk-jAZ@=k>%K)Htip_d5=M-V)9*^uVx^B8R zPFK1rzI{#S4%R<;4@9>4w<`>)qTfZ%2HCeYf0dE;!4H?a@M}EUom)uUmOhYT z=6Rm8GTmgNUZCDmyrJ-8(n>TnABPiKKvB5%MGD##TA43&GXzL;Qnziy7f(=Q!s(u7 zzwoW8@n7CQo$cDTpWB$Y=`R;zu^1lOnA2-chM@n%?0wg|e(S7aOOt;Q1xVF87O#MP2WNOr=qe{$R$1JP$)g-&8dU2aG4$oT~irY$x{45k&?KAJ{mvhy4?MO2(GyoL^=F1VtFPSrI&S2fc6>5m-T zGnkeS4?I7lrl5Qet66g@P)`fDe4XE*N`){6$YP^((BWL%xxCYu?}-EaY>lCCy#!BQ ziI7p&*3i*v`{KjtAO`Q!2iA3S$u4_=RH!xH(+!%_@MD>fk)nv`+oSsr2v`#DWn@}6g6Y(`m$tPzzLclC#$2`z1I{g$$?e=`^T}{D#is?Lssw#&zULGx!CFaj>^`PcPDG57tpWDn;DA<_8xf2cw#>!CI7l3 z1&LG}V0j~z5A?^HW#?Ys&km6h9X;qcuiAFFT_z!|$qpSDN&C86rn(>5>pdXC5?A4L zM$hLpx5t|!x*Ld|V?TE@UvjNP(efP{Db4ig(WrR4HmdV{E}k|wC_hsj<39Rk#|S;P zuTGB@@mqYaxdGZBsJDF6(8V$dM$XH_+9MT4-h-MSv)+FqyuL^bPj-l`Z!ce=m;1b_ zhWvmfq|&Q7Z9+S1w0Afx%j=Htwf&=O$~o#dp>UH~!=cd#u6o>;oG zBJGB|HPat&0k4U{g@bf7s&n1A%Xd;B?JfqhBbe@ zo|uh(F$x9qMao2(YV*cexN0-a?TpKHca++L$d35vryORyg7x>o9P<R= z&GKEb6i89vrBZ?_Hc-biJjnbr&bo@V$L&)`iU8l&+%oqTUsSPI0GRKkw?6M#<}N6O z{g46v3$N>j;sPfm-Pz_B%Hjp_IWChk>2aZj=E9^`e!cjuI|>#)^mt&4Zd1WuZVtF! zycA%?WZ>)CKe?ChQ)LIf)GehCx%S78(C|;g83$A~beD{6{N@3n`NU&kfi0R$Z~b@5 z{|fg1UG*WE?X3A%Ex>=&IQ75U``Vwbs4o~!WCDwl=dmVZ)jn>|f%Z)V z2sxi93vT(Z8_ZsK2f>rOlT*ky?@foE%AJ`mjEH1h=Y4RlcD5j5uo<}tj2#oEIr@|` zyS2*__8|tiH0o`o%RvSIqax|wf;$Z#VG4wVMqixmd>Q(4%xve)1bj`7b&NNO&dOBV z<@X`782vJxFI5yyTx9AG*2pNA%P`uZZIU~#hAl18n&J&SdsRb{>};^Tz%>&5t)xTqB3(}{U3=No@_r;YLCyo+wH=jx0C~Y0@LRr z{+QX+d(g*uK3SIYn9B~PH6G2BBQd$?t=wp?@mQm8u9VqUYu92e=ywwgLQ=!8!^v~I zEKaQQ7h_Bb-dbVy(I6x~o|e$u@^7Qw{-l@yOw2On3IR|{M(gfZCDQ4e%yiT-mY+OUEVaQ0~IWy&K@ zyS7S}?$FygsUz;{3M=rsjQTREZx@>_P^+*4b3+{(Z8gAPCMg&9g-5_NHYdUjs*(mb&9m z1N|5+VG71mx4Co^IW2Y(eC~1=rm9$mu zx>fS=X*wIKp?J1+a2jV}7`bbQ7|$<$vsu|1Lx>n68?^mt?PxxX0F+3&3imz=_YP&K zpP&(>*INr6_bBgtV#(MQ;!r@Ile&8`a=NqGN)tRR`nmd=A2KY7y>S^|vIWmxn6h^f zvu3&A`0VrfMseJoD)^#!@;=4QckrXvhy{g4b1wB?Bi=zU;JSeWHAw&HInM9_4pIea zD7U}jKlE&WjRFTO;Mmc1uLuN-V;odLuF%}ff|=viOM{4Q;_@nTPij6=@Z~F2l+{1m zr;sgBXLTL^1wC;dFMvkTY{RMFw9K|eXQcRdS?r8%7Ts*8F*pot!QHg-HWv0)pD5_Y zTOK|XL5)^ymvvdJ$L&U53BJXqBuT9O9TTLvcd-HO?eCFt=KTxAn>okvrLb)-6|li^*j$i?miQic={yPB;g+{;}AKG$G@ zYl|Dsm$*jV6T-(DF}*S-bu1OehVUQw6<>lRTuTxw}R89>Z~>@k@)pI>E3Ex9i# zCmkAe=T~%JjiK{HvVSmUupe3Uj?m@uw0WK2?Kp;Why8=q6Gz*2_fA|eM^wI+Agjhh z&En}~oaJeXeknok7vO7C0A+S~@`hr;bX zA%U(`&EzJD{kaNUdZdVrXW@r_K01&TNg#Pkp@* zli3hvOPxMfrk8mjL?%Xmm%O{9r5i$s#92vk94PmjH|em^1}#NUes;3e=D%-UzVXH8 z1)f~T8+g0IWR6O=oOpq{pE%pqUsNj?;4I+#A{}(eata=UmLa#W$}odQW#jl)3ggH6 z>uSx}^W92K(}5mphy}~7_j$(MHOVPe3&e%IU$c(=_ z!$XW|TqO#L!h6PHeN5?W1oN899?aBU#)ILwRf1i$Vdgv$vLzA@+ruB7vLC-l#|c_$y6z$>;JitpO&!hDYx56!yy zL~JG!%g{$pr8nTYZa@)L%aGQE)v^%-4%mIvHx~aVG54ul8h6SB8&0UtWsnHx=r1!I>uuS`3l9EW=y-MBv_44Vk1e;1`Ypse0a5+}qGoPP0Y~BW3j)UZVRVGd*rkaQ<|Y3i3X} z#0dJgQsUDcQB2Cr=n*17hq(X%a%Bh~ilx58j2J$T)P}9*Ra>v@qrUZyS>!XTSbY=c za{lSDrRrgxXcojHp4|pK%f)H`*cgQrCS0LZFGZe^_15zyK4oiVArR= zSSrWcOOcJ{`f-$*IN;Sihf2$COgo;OB0W&IE8g>;;LojWNNVpjI595o+n0O{>yIveoS{srDANP`d#V+4ZRU&^79@4_r`uB{r}HAF`xLW@Lmzr*~-w+5Tw?P zOYx`8@#oXrQ}gjUKM|LfmPP=jdO7YM-`+{W>V~zPM(G^o>UpL;?Dt_HIE<#@7p(DJ zolH4>fEY)T`{p{hpvrFkMFuRi>|{auH<}_EgE{58m^4^9i38Tq(7=RiX=D6SEpw^7 zeWn<|Zoh@#9!ra3{oStECkF7t@HFxls|NhqR203@{0d9_!`}sa3Oc}-p66OgzuBNZ z*NA{Azox~p|98s&3ikgu>Qlx%77RTNRGzC5F&2S{(CZZ3p7&;8 z8q55;XkD&SLFu`bZI0QZ;d}b&Y-}^M-ZZMy=hn||gg`l1!wC;4M&P9V-+r@(z4r~` zq*_D_$u9clN4P8%cYyAi70Fd9VxdeB*=URQzsmmt$eg|<#`5fC9yO64id*bV{>l6b z!^4T*kJ2!1j$u)cKlx6}Tow?fib?YJoVaM#=pQTc3K>}~;GG#^W3x<8Bm^P22U-2w ze@Pw2Yw7kR^05KEp^ti;>mt*hU!c}Ti!Vc?ZaG3*sXve-XiUQlchw9Y;RT^j8_03923OT5;1abf*yAE6PFWmM(kGp#36D3h}R99K9hx zN2z_KHAtuJ^;~awLgX#SrREB!ixIL!(y~k@B@sRpJ9hx7!S*r0q@2vp2($SYZ8YLcykP7B$~ubQLPS=laLf%gQ8s)bNhQRvKwSkoQTuFm^DSkCG41;rUB@LoXp6Xi^V>Cg)k;09 zkRT50Sen!O%;>;@_lf&L-7jVa@7`O0JAFEJco$oNK|Wd2ZVGr^kQ!`wrMzxGS4G@{ zovW?&+^(ws%H5P z8{?@a2tYjd7uj~Vj-fV~@`ryG0*-weXzGUJXkZHR9~J|AL6U3TW z|FNjllALhYI+^Gmd;X~^AtLP0>R8W4bE7X|cmHz|`8B2Bj(r7LI zhhdf5xqCd-vY{Hi69U{1u)qfC0E_A-L+j%N)%}CT$+KStgf;jq)yxk$(QvsXCG^4v zxhMZ3Bz7v%hWu5l+nx`Rts`f5GwEk2EqR*# z4rS9q83q}*onbS;j6sy@hI9km%;QM?XG*h-5Ut2wpmO?GG`*yFS#|v{)}XYhfa#UD zQU5ZSA5r`c`kDgXmI%+zkfSf+(#o_MO+#8Stu3UF0uo|sh;vu1sZKpk3SvF>O!S{~ zs}Lg&mi#Pje}msFlv4TpkQ7*pV1(1ii_~kw?7t)%E}vViG!V;pyF1U+V#80#m! zIe7`h3&Ft;AnSJ%2Y&q;YY*MWvS2JpV|jRNtg1@jwVu`XziI)laL!ixA|*7r?0?x$ zKpa8|04^)4(5JsD&r4B4AXSxMS~$u0v$eS#TzZ)!YVCjUo5f;rz5`YpNHU)Li#Z0C z{(sSwqA54Pw2-p|diAH}FMgF^D&N(EiMhGj1&LF`f-wsR+23lnFc3hlM|Q4c{^qgX zT9W$L=?BAP$nOr>8z_jDhV!Q>YSb5FR)A3WHY`uQlraL8az4QK`rdCZDT^T$8-G4f z?~NKnZ7_=fX9}_y$Zx&wo3$|~k>~CtnsgR6u6td6zivg*LQ!j%_*XgYDd<PUNs^?b3!^eCH zzX%F=@DYcF)1EetHIr40QyRz`8uYF@%hIZVG)qSyNi&K>yV1(YgH zumKi|2qAP(dX*A72}MPvDF{eMQ4x|r=u!jHI|!kLqI3uWsewR}yLjJo&bJlzx!<_s zj5F>TcmLxU>dIPkKJ%%+r_7T6xt!nFAW=ZYRL z`sr{Kkybd+mOti)16p~33bpl-I2Mqci7j#qHyPdJCXynogM3qLxt~A!5voT~W}ZI{ zSAIH|0yjY0!yfu~bbhD?4BO^w7%*o8K$sp8DNbXcd}1vtLw&Xs&@oP+D9Db?OXY8y z9ea#~$SuA%l%7E;I#(-14g2ap)*3_Xb0h-6KY*9Npp@?}eBD_xuOIWr^V@bM@x#o? zW>`MTe7^NcH-#i?<~Kj>a>1#3+a@2Uvc!vBzKk%QT%T&WgHqUum1rR1^6~&n);%49 z>5x6ip2>DqNgr80s$wp#Cl)-GXI?L#nY@Pf>{~r0ed13YmLWnH^JJr$SzTSX*pI+B z(9o6$fOh&^qi)`s67n-aJyo(MoQQtUY%C-0Ja}|RD(vGCUUG*3p&P>k8yxAV=BBue zQ15%ID|3XRUBJTgrJZd}=h_9fJo1Cmi~1~aF|C-q`&;gL^#C2a3jhd{5vU~{mF909&Vp2j`YE$CMZn`+X zzn`&Ov0a_}9S^J}7(Hq5Ydked&PD)hmI*fQVNld23A@c`B)EYMH z!W!d^kGzTxrkz|ezZ7LYwqxl)g`m|g_iRFtD@zw8nkt5LqH=vPqrPws*ou}rJ4!WPIU%mXY`^vK%P*N(7MU6uHs#G98+w9eS zYj6Edq(!Z?aEpwa7eacZ-pF($dp{!#&Zj6eoDWphj>I<1Uyb}t9TJ07Kh-Y$s7-Fl zR~I;uS4~t?THR^7JGOly8Ftxg*sa3n*ZXsBIA`>Eh0iBy7e1{?yn0AMAJcuDPFm(_ z?0Fc4+Z5dc{K0-fiR|R=s;0$2VHcJ+t$#{Ha-s1?D&q9 z*hIZBpu|II@jR7tqeZbEr|UwY`BJYXQ`&29URmL;UczLyvryXDOfsIcIgSBNKcJ25 zm`qhkR^|-a?E9)r*s-$u%|OiIX)tu~N%U1=C}HmV5!Va$T)#S73-aUv2Q=s70`Kuw)uofBVs=Oym6A>G9=6Q|{8D_=}% zN4-lx>S&6OH(1CxVq^zGM6rG4x3s36ZM3#AdGgi1vs@~@zFqD;RY&d`sMz|28rY8A zq*!pr|914;S{X?e8&W{O3t@Mmw$G7Lrb1Bp^`xkzI+B>^bqvgB^HHQ?Ql0+^kFW6NZzChQ-L}sYRMW?kHy(h5j zGLh@M`ER&*OS?82Dl^JPs%8xGgs+89#_E^k&Ao@ovi^?3vYyp(LlNJ1JVtBd(+=I2 z+xgMx>%CP9=*ssuOCr!pWIZR9-MTB4jX+(>r=+J}KADlaN*JzAo7*(DWOdHPR9Y0@ zb4pFu>#~4sbiyZA+44AD(M1YTXq7}63)`P0qGiHw3m5Y?yZyvimAOQvD7NTUMf z>o5I9tE0K;;AP5MEICiGa8-|Q11T1sIztvRqYQ#tolZyN5tFq3AN}+D&w#~71}|k9 zINDmemWwz+QNx=)Tnru7OZvt^ofMMS?*WmgxQ;W5m>k9*S+&W_nTM`cf(Ep8>2jTv ze*}&gg5_PMe7pFl3Nr8#GGHu1CKCo;iI2tc!|#0Y>mi`IW?__xcRqbnF>;<5&V+_L z<4UqoJ2R!aoJb5A$nJ2$e{K0Oz*o#1Q-JGGu6!6@_)0E$QRy7$4maGIvB$@S;647V*xLu&{2rG%Rsq z_a+gxnfeNIL^e|NkibO*SZtUI9%@k>>(E=$P56$Se4Z&0jtnOTdv%}5!0VGV=!19I zT7AL5OrCJKD?A5`Z_oWf_>APTyZ+0d+SN%?Rqi54YL<%t7GnZ=z>Pd+Omp1}NpU-G zoYiO1jTFxaZL`#_Z0XUDPewj;6uKK7{pgoHqt_Fk4Y1Ku_(%Zu+PH^X1bo%3*YS04 zbV(RlS^Cm%ZrHkV@ZC^MZKz!I$EJnHZD}t;RnX>@y99&D9WK+@h3w&DwF~r=Yl_A4 z7&h?=$?C1?I?)jHO1b02)`i%KqUDrR@D@vzg)lxDB*J_44*ifWps2d-)I!Q81hj%Fv9v!AMzup>A!Shkf>OfR1u4Nbcja^Aw?JAMk4*5$)p1{z*)zp*z-CP&1 zX`_s;=tCI$mBE^tr7~lI)6*Ku$bNEf$rVfvXZ~uj!6Zqyw7=jEqN29^jaZ{u@x+ji zZG%GoW@B=r5eZ&6*V;3?WbO{4zX>S`*7d8)C^5)odv|KK{?rP->EHaAyOpb{TsiRp z=agn4i%t#J*{0K2n_;qox1~igdeVOfS+QJNUAZ0k(xdam)@D1p#Gv%V60iAI zpiPQWrX5TleY0Y*YBpD+=OXEx5yx>O&XeBuVZ;v*(ZTvl%R5K$humlNa;sErB9K{{ zQCYKkI{AJr-*;_gx`YXwl%H<9r*`UTr92w%)2#NT#F*vS){AAok;EluYiQD=h8(A& zOna(kqIlkOsv3}=x&L11pvQx-@kiK9yBPXt?~>vMCWNr0o4eZ*Fx;CCxSwAf9bEbB zh++tazr0N5veRv#3AXmJ?b_m$47pQl8D&&b7^_ICUhDqadz$wTREUXv?(`n7cU=2= zCtw5B)wIkncK(LwI|KKTy`iDERqo;I(+CfNK~((Z(;qAW!+KT>2qE^qK@fk?Cz?@F zC!hYC%?1L(?n^X)Q}nXQML^&bj}yu)OFDXYDc@%U1C;uw-i^Cv(eR4XRH=|u1Vti| ziK9v7%Af>B0JusNhkW>_u?a9D#(VbtqhiVH04%B%Nd6*o6tU@hTW(*De(n?iNIeBn zDX%#_dxcr5Jp`(lopt)n9Rsj2RqaD>4}oAl8_^S=63lYvt${RX;a2NYi2=`cBUWKB zGR~^@D$oMG7ZHMTog(q%?NzYjD6796L!_b;8p<&n0Y$sH*0k>nzy2*S1?oBZ_F`-A zaW~V-%H68IQ8Eyd=Fde{IQq>#K5~+8FBJX!xZmM&tpoDx#ls+#ueCu}A&rY)m&xW$ z&lLlOWyc*qJSnbm$?7m@dZ3uM@ILO!?`rC=guVfNjLrsH9Idcay~CAHFso=9D*W6u zE>-IwYZ5p|fnxEkn2)-U0oX{{!1J7zDu5is;}CbVvR4?^0mF-A;FdnO5$3EBBi85ftAaM{1^0XVow2MEHa-0yrX zH@inUc{Rg)9rqr`^SeX%7uukz&2;w4Ld7yNs?^v(#`#OqSHJ*G%)fdOwI=}|E%%)W zVDP{Fy-MxbMmy5c`W}m%rF5&=4K1el{E~+|PrgLbvc+eu0RS(hc z&gveDc?d0jV6yqC*ipVR|Dcb3$*h?Y$cykG1Ok%{a5BwoAi0RP>LM+qgyn%1*9&Ja zZ#OO1m+e#oNy1{ZMREU!MxlM`L$KQ)sB%>KI5pp)-!19iOrDd|Hj zio-1a@Mr(>R5G}L21$QA4&WR|!^jE>(K0h_WYg zJI*Y?V1PgcHRxidOtu98|95-*lO1sDSpZYd@_&54_jsMW!=jHvJ-_qSk6`NE@G&zw z3MkF+_GbX9+m6Na@6lmzXz(9Evh)jE_i0~@+!w~xZA=^PrvRFznwONw_VFkpetK!zElP2OBTIVg$3;;Hsd|F!5p zA;a-zo7*86qPUqcO5uq`sa!sww7ZP}c|DM5$2DwkBi+X2XTN}vlf+M<7}utnV6hO) zQC#<5fD_+<2xLC(5Xii2+kE1+FHE$&N}Ctv*3K{YWvmoW{LQibiwNiF{G`EwpHy|_n(G1lrkTRqzQt`X zUxi|(xCdOBy51mIp>a5O!kwec z;V=W;1HoM19?sef_942bf=?Y8ggt!6AL>(bVX3)G^PTI7eeD5jN=ohPp6NNn6b1b( zXy8Jhr@Uc&D{FMa&Dt!bx2a~TS)AvW+Y4=59)^2f-S#YV4{o+C3Q#;e!sEpclPb`H z1~kqW{JLVw#|K@ia=G!-hi+-fef7#2xsm+4A2#HlSbJ&gP@RHad(kQ2Buc|17)13C ze}o!Ycrd`HBWB;tyVvpEyM07Sb?Uu&Q{p|z;*T>|;(8h0QF~-v6BB6fNGZ^VdmA+6 z4QDg$)_Nzg`TEB0fHSC{(!uHA07NUrS#xA1g*!$%!s&bZVx?D@)(tQpzYEU;`6rrQ zQ>(kVcfMR`3CK(QA+=_9XXe+J9=rIin5r06(12m7i1WxDp;#;NXsgsj123KQ=s_Pk zc2z3sfB1tKr^*q6kw&Z+oXCchx^229G3qBf)Uerk6lSjm$sa?Ar=N4xF8Dm7`Bo#0beSaq3n5OA z$&QkbWJu5Jqg?R#r){K#cWtd_exnpXxEd;s^EXfqYnfMB?lLqe^No{IR9+z80J9lg zZHlr3H7gk{IS{fQ1Q$m~9K8Jjw{8jwc(32tul+h83thTr|+n4Wj9;zeac})3g z9d6@qv$i-&>!<4(lpUEC>EG_<(dZHA$KXisX#UtgyQ&2h^KmgSr_}kSOzl*D%{H(+ zYY;pL&`~3^R6||S2|S<81m!M2l4(xUL=DqAYR7I7VR_0UM)d+|sdAjELbVQL9cR~% zPHb%0oNHO?5wV@U9E|z?^h2B%j{hU2|NgLDn(EIG{T{^^-U+k<#^>1d1Jg8VYjd8X zBEZgLQN5~nfO+qSK$GvWEn-{KJ*jaIsi!)+h&qytjzU79HnxP-na3SUHFsw?UnaPTlq0}JT(V&7{_y7lC=L^6J+tn)6}tSH1@~-RE-C_TQ_B=3xrV(BCD;#%9%(sjg4Sxa6`* zxjIBK$nIxKN(pwS9mt#5Yz9+v3h~*K~Kxjzv4tJm}LEQDU(=OQbpYb#*78VZrnIvCCwb?K_~?u_zR0T z3&^h}l9T*D=z@QHcQ+e7&Ou_Xq;bhP@)|AbOQhCs|bGO@(a@&4%W9m0{>TfTO+%ws;Xk((|Q4w z^QFA1&7>4kcz(gwQ!zioGXm-dta&bvX7sxl4_2-fW>#_QNIDUkc-id{Z1gR(Vho-h zpu1#7mf9Z7mih<*!{0u&0P;B@7-)rm;lzGg)zom#&CR_Yr*th(1)G!ZMky`WeZyQs zIB?~Vr<%N5uQLi<+F9IjIi=ufmzU7_0%LY;hO6cUMiq5D{2#UE-)~-j7@V6c?z`3@ zH{GL75oF6VxzMFdFi{zeA(swgol8>}RqSIH%Vy0a1Gb*n+uP4?r~&?3(rXJD_R|e# zH1+#`{(CLJpNfWxhW2iaCSx~d=o}u8FK~NY;pyr5iYKKBjiPZ8$GpE8rs0UYd`i~o zUD09SwbE2Bk<1`k437|qwpRDj0Y@55Z(=h=_Q*6Cg{`Q3!#vUF?#f(H`%+FZX&%Og zf#%DPA{cUHLjK7{53^Itg~Z)2W)m$ut9k1ELf(a1hm3L|Fe}}?{QX1*2z6XF$U;Wv zoRb5pe8&1s_!3KzZs?amzS86J%iY(DYWJHV;4MH>m>t0|Aq>3L*fyUI4!N-+dl2Vo z9u)+So-IjJxrG`oe9-L8j(Fbp$?1S6ff{+$9aUNIsP2jM%Szob=TGbx^*tj)G_siK zaBck*R(UB?JvzR>A9Nw^ZeZ1+#OdPV;tjv;Pn(;YOJ)h*+h_o{l)1Ty<9EySw@92v zQ2{h*&97Y;F?Tt~#b0?{K|!Ius#E2lh0(FkrPH`rEp)%XIlXHh`Idg!wCe@N#vqdc zo`)uvx05ikt8p;9gk13(7#qch{QD0SV32~*QCfoSz8cq(`v^Q(6c{_n zeyL%f`Q4L19jd)!jZ;N&GsQnT_#}e%PU5cM|CT#})rNcmA9y~81c48HISQ=yKyd&2@M6hk)Cgz)`>=^ zR00!6O7y0_p8sJg(l*;3e;dBu(HjE^H;4V|PLw1sG`J_{cJaQsZ3Lvn+a7-s+9W0u5;073;?eUJo z5k7>t;a4;wf~M^(Q*mw1j&GV(NXPACRoS#7UXCxaYi(Bjm5$0XpVz)~L&N`Kb$u}W z9lPuy_kn<`iD{~JdZjKgbh+F`!l&(*Bqz}?8PdHJD*;DjdX!Lo_Hw6Tn%%pUQa;D& zv#cL!F)9c0`C+F$Hs9d622K?=9zv}ouK(1>jc90Hx$YorC&QD%tUEc7`5f+xm$!A#C_YZ}8)e!E6efx(6yc77qW{IZt0soXW73?5GZ z2t*5A+0ycuG(G0C8dH&k&H)B1sHW!Fo`7Wmep9@9fL6M2sWLEI-2VGp4tP)HM`2Io zyF)b$1?2O6t;TC|&h-w(>{o5;9k!9=@-0p$^WI$4uH?rU zE&bPthg8ohHaQePU8ZtX2#8b%K|c$9q>gNNr|N-JrPbP_YTPE!e<>AhcU;Mg?$?(jQ~! z(}}9ck7nOD?zqmXi2Hukx5=UD341&p0p4gm&Kg6DQ9hWV0`?dR!Yc}PURW5$?v!1u z&MrFse7{p8co_w_f3z5h{{k)DEdhKJdoY_Z9roN?kqmI-#{WB-{9lIcZ{O)(cK$cF z<6q?X7die5)b0OMPVxU7RSHFw|M(SUb!Rj!zwCva)kDt^+~ugdZ`5QiKTemAghO(9JSepE>S zjhPh+09Ft5%2+LtT;DieyNVbJ&rteJ-2NjF8@x|b2<;PR86(61piL47yaPeYgGeKV zi&?KQ*Cqd_;iT_cvitmLiNC_hg4zYJVZgT&|7k$^&UcLm_(dMDL@aPk+0ci#VF&F- z)om|k#L)jsJpQ82e`^TM#EGc(!J(TOxsa`fxOw;KRl@><4E+0pV`g@ZJ--pp`aTpB z%QbQ-OZzT}JoIVxQ?!W?8=pt;$WB=xjWfrA&Z%Hf(4J2|%te$2$3a#nrL+>BMPG3M zqL72YEP(4z?YWMM^)p96lwXm@rlh>j@{~4R+U}9dYU}UGLnpxZu<*B~imZd||z<45Qv0#RhF?X3h&DK|Sdah5Mm)v6@h>bE;$Uh0e*UtjE$JlORva%=2 zDBo!M&8Isx_G;O~m-X8<`rBVT;Amm^KnNI?;jW>;7s(*`5NES#_!=)-7 z>W_dHTjsobgJ?fp@zP&N;O2jb`u_)E*_8lWDZCxKdIOlv{wDp5LQc^t2sT=C_UqfJ z>jpLz8-;PTIn3&4bZ9`{1ht`jtz)r8u@W1?@X6{Jdf1*twEter_T!5xT-wex2ZLQi zGa&SN?K@5fKl7ne`G#>RGllxAIE?mjW%~QiXruOB-u* z;tMxEx91yK*XP8Wra=W~y(pDsCKtbrwWk0;Q}lr-0Q=l^V8z|y-xF$c-eDIDe|~f^ z;r=*GXoPk6p2RE~uJ(O!oH|XI9og0?Hj$EWu({ShUjXq<{cfElWHs59)yuU@nLZnw z9q%*?LvEM-?+})!hd{JQ7d@wGUij$*wV{JFI@7xOU*Vhje?hRc-UOg)^asn~-V0X(@PNY!SJyv z<@gh!hhazfL}w`uA20bV`>6qb3AYS5khC#iy_8q-CU5sG-!SGm z$Kd$*n3T0O%Yq+2xUBlVJh)Ha-F^sFyO6*?2s*(#*3&+5f#tWK{D+E@&8!)z2x~Q9 z^GgH#49E{gc!Cz*Y4gl^wtw<`Y|T(x7?4&#iGW$(-%UJFAdlbN!*i7X$6(0+bKK?s z7D)YHHi|C#Eh6PWOoQj#Tg?}eM1QI4^#?MP_VxQ7%F&z;2)KGE# zl>sn!fyZA*8VhrE7+t!U)fH>3Jzl{W&fmHq60?_F5(O?q*NX2-6blDw#?qH|y&cWm z(DqWx&%>ZCfg#n#D_Z-bBa0`1e@fiY0+K@K0CPRbu4lC=!`0U3)?v6E%!6?F;gl*X z7T}_xu>IU7fKMnWm4uv>h(EP+E_l1%uNq@-=jBDW+|_4M zpLKlPd$Tm>vd4Ic{X!^_U|BLo+dI99GR6rqG^*Zd;NrI)g`m!RcY#>g0qRA z-F0JrZk5GXkF9GiSO?R=tLPA$D?kNppgpvKsc&37esWgq*eG+GqL=i7469)#6=Y{I z;N)qwW`;9e7fK|-arHOqChp%9lXGE3#h&RH5lkfDQqC+??6?%TV_RX|7Cju7J z&axO!jyMuE`v|D$F4*;q0?I@*n~28G6>IoQOewelvaN^)FQCf#1&I0z$@O4smd#!PiF` zMRK!GDeFb<&D?>**HY}0+OIhmUn(Ddn&lu5eSHGOGC@k4C@qY|$+^4-)$ zNJqX=r%7eE?5V>BW>9K%csT^9q3BZsv|cbM`BAdik1q7^;_8Ki{1S`8y>#*;fV=6i z}Vk?zsK+EE^U<_Qh)S7tWgfRH;@&!gVOpP=-u&3U4 zMGNOuV@POw>nI+d{RrwcTFM)S4rkgWIfr_cKz{Fsr$&lUgg}~)-HRP-9p-2me;&7y5<7q@-I;B*V?%4%d zvTy?;O0Ko^^2OoqS7+Z7MG5ayTwhie>=Iq=9#o#%XK2}9(8X|kUb{Wxm-*1Zbi>-v z<6DEIOqFlBZQ*nEvc}rncKavt%6ToqRiPG;*g-#X_Y4zgpp5E4Ob;9=9zd)Ad=!V? zsFVS2=_7kph-E8SRjD}JNYnTtQ>NG|@(Nh#;G}GKLxVpx=OIxYe#`RE5x>Qag3Jm> zg+sa>Vx*;k^QGWR7h^lFxsD{Jv_ zKXb$i6AOT8S$)#h8=5HYuF`VZ#Cw=19SHm=-o)`5ujVlwoNF-CAswehAqJ);#j+p|E)TZ5OM&Ty$y5B6W77tm7Q6y6XEz`@4_0EDw5HrPwZQdBDir zonhG=Ey#RL;;1O@U_m`DIP|BEUe~6U`X(JKGh|F8rJNJ-?upcP#SvzVAi)muH(S!f zWXe5u7MNR1@|Ki^=OQIpvr`yLS{8tMTn5agJ~DfEER=jXZeFEFh?ifSz&{f{_yP*Si_NwwkYUUFQz+QeLtx|Cg$V`)W5ruM0{==d>NkhLU%E^idvnZai>oOV-+F}f`GnX3AP8xTjAD?P~U+c+wwQfEEbl^bA6cNnVmDyqap?F6Lj(}+0EBEAD&$>MJTI8 ze?A2P=DrRmMbne%4(iP&vTTHNX8w&W~*xm?g( z&RT%pjX5#Oka0h$MsCfQ0wQMA=6ENgM}sQuX?DYcr#mPP5#E*ZisP<&m8AQrLN6v! zN{WFux@H=%VunJ03JWnTNG{qz-akp?;Znsl-wZu1l##P2mBi)9P{RaUYk`os)G(PU zslh5UvG$GSg(K7V0Pj;)55@f~K>Kqk#TGQa^kqVrSvHg1ktFu|x?A{$3m4ld1TaF~ zM#Pdb_A$XGr5pM7SZ1=SL0YCOXCM&?id zFN4A~XuR5%Ftev33E_yO*Gd-H^bZoJD)m0;c^j;afv+%lYbJoF&A0!p+ z;2XG^5a(gj_TeS5Jy}%9idF+)5LL+S=gc5@O=3+>Bkuj57rr6y%mTgw_p?j@}5 z_*w!k@ueE0X!RS4;2h%V;W;q1Dd1bsZwan5Ls`T?02 z?wje<8)nc@JMEAd*wG*fG2#AzTc?qkeTh^MaWG2jtS}n5Sth!>ibm#;eu*m1I&MRB(RTsF_##g}(~% zlH~2%Ea4~KocgvDdA74%ej!@2Qygnv+O7omN*!^>OM1AJmRf5nbac2%qIaoso`>qU zL_P5e?+U1Uo0tcxPmIe_(g+z|>Ame@O!T<~x-x}sl)IzcnV*!J+@Ee+yc%pBC}p`J zyqFX~w{LyK{JnHZ>)!>#4P0MjFF;lXQebkrz(DDX2wdtjo#34kbvW@ks+x7IBh1NZygkfpRHlS4QX&GLW;!jC=i@R2O<4Ad6fzoB$XD=?rVn-xLc0T+Vh*#7+F`{)D zs{vUv`%}rXt7b^-B@pZZ%^u?XaS#~eb=_v!C(xY*=59;@Fr6MFE=2CVkj|?$p22fx zwh`^|7e7!ELI-e->b17MqEx=OK=@K`C2kpR&WrOe2JJ|TFZ5X-0zSHUedG-g;P{(K zD4JzjF5g+LdCN1M!8l1#f5G8A0v4eE_N(~mUyJE)Q56L4ID&VV&RMIMLOI!NE} zeAevwCR8h0JxZ-MNA8h+c>f!C&kKDicRh6kKe}J3KBtKTu0ZVT+*nY{-@N>&_zixl z>Q6^li(dJb%F^Q7ECtK$y7dZM)sX!s4# z$$d(ny_sXLz})!%pZ0ROk)JERmpxWyd3*O$+Ianb@e};3$X#gfea;zR14cRWPlas) zWk<$$YMWyJBes$=xK;#3DA{SvqAanve>clwqQ?Dz!%F^GTZS6|sWf&h5b0_iOz+o@ zP3^k+O!*i5dcVDjoHuAyS=x=(J*qZIPn-1vD%LGF>fU9(^af@|JeBD2LrLCuIr?bs zCXU;B`VWHs11%N8N58sdR#M7a3M>{3rhcWe<*hxeWDTwrdqOZ@iZ5&HdXt`7aKp&h zm{E?wIQoyYohsWNi+cerl&UDmaoi$yc-SfnUhDl@T0id z6F&TL3Jh=ewCTdxz0M@{{Ls^2NHAVg(d>Nsu=%YdUc@!OY08_fS1k7D?z5Yy^R32r zh^PYlSu~XV-5XJ*>@l03`CftxcfRB+(DZ%LyvevA(*n1pdeha{EIw^petX(-{Pn%4 z(USMtt24o;RZ$9;7v3QMBbWKN{a}&+*4Yds3fP_a8eDWy+@oZufsx;KiC0pO6ZTD zc;gc|cEL8#FT`YX`K3qUXYntO(|?F<00Q0b+MxI+6-)Q1NZdm(0V=XG0vPT3>b%ce z8<&$tM;^-jx_{$#6)T$ev(4;-IBuZtlVbC&=^R(9mWt=~j|>ULt%#IE8N82#f4buF zD>H#&U3m*3KNrW-BELOwt%!Y6^ys+rQ9W&~`!aJKWEYwRg@w3MEBZ7j(SFD>jL+TB zfrJ!M55c58-BSGhRH$hFa!!@^fGL2Qvb+d~M4)Tffi0!==?kpEwX3ZR$*~4{{yrFT z!5Qv1NqifLqe`xQK;U^%<#h+(|F(xGonlR*``F`1uFM|F*m4$UswVuH`f21_>rnZ8 zp2>h z0=ZvV$DcnJ$<022SQ3=u^L;t;_UWewWi#g6Aacs(A{(F$K`f|>L}_dzP1}U(Ur_n# zkk?*BEoTOO>SXG5*Fc&-xLkbpw1NEeQAB?}p`Q{D&n>^(skC-~yVaojOgd$EHj@oX z!kH&{bjquXqj%lqN$b5hiT29aJuqmC{dX$Y2p*qft6gYPA+O}ftc@;1ODA0a>Z|K8 zO`wA(=P_`zf=E5F8=c|Yk;8{2A7Lt#$1BdMjJ&`Qnn~(rXDG=d)#@z-8$MLM(p-7js!OBtUSBe1AHaeOVa0 zhZ@%QZnQyeerA9t_9RSWM|&A%8%ogzfKhby7za`jlPKLO#5s``O6S*GE_Y{~BVD>E z1eKR_bNyEJPTO7qe0P#Y$mRpQ@aZ=NHvaKW5(6Duag_!F?QzVW7qi4)BplPW&cK1q zvPR@ViH9-_cfN|L*Xa|CTmj4@5$K|Gcq#d(fP7GeF@s1?ijBV9MJccozB80&_W-q4 z>T?2<^qSWenBEACpIfOze8-M-4Nn`DEjBIj&Ah)it+S>lk9+AjUGOEsbF9x#9lan- zthL%Da=1@C0A!wAhZspWQB^RQDmXRJdPpkI!B;eRZf*1Q1F{|X7{ct#>X65|Lw5-g z*9`Dg};^SQVAQ;(~49q(r@d~Tf$u+8KL+K6+%f39YRYfm3D{+m7qhPd;wOo=fa z76cxr)=P9c^!wwgI>5iHR{s5TyhZVmvtuEuoYW!uUaY^{C~CR|pmzz`mHpEjmKz&1{-toO!I)k3#}ax(%)AokwA~W6l+g3IksVQR z?;k0Uw{csI6 zb;Zpr)C>&{jQAJ3c=~#c=YT{?OgD=1i1_f$bY->g4 z&O4Y=Zohi=>{pyXmprA3q|`}SF`F*E(@7Z`vqO?A$D;{dTo@u`ol-bpx=!hJ?5c!1 zj>%XQlZ(bbZxs3t&=tXQDQf_%m0OA{`#eQd@mEi;@|q>8Tx;A81Q98uLW=n?aP3Z; zx;DkiNPLwfMv3FYXrjR$OjdH59LaEG7i%SqlA1NdUD+vM6Y($daW zDwtH!AB;UwI#yE4#-|`H=|!3Ef{tbvj=S|hp5)>DcVBmlKOCqVw>6O`LnoFKF#Xp{ z8m6m#X;q_@-a?nw{NZylHBHK4wQyHigYPmv)d4ZT^US66QU}mppj^~^clo`s;stI$`=F_1URf&l$a|qTcuo!nwJx7@@Ud5n z^o#LWE@p)Afb?kx)Ry91>+bS=wf}0beP+o+HmHcpdpLVQwNF-1#SUVvaIxxSw=+S# zYEbpwfPR8Kt)j~L-bOpNg>vW;Mb=`iPFp1cQ{D?%Q+84Y`&Wp0DfV5Ku<{~zYU4-! z*KK*4htb$47={`s3YQm+^fn&wf_;D8v(!~iCYCx_W{zsFexui7)9U_l7FsRjN+rH?fa~ExI)=!MxC)Nljd( zMHHW+D&?hxD;-eF&rPBLgI3(SN@?1Oc2-ZJOhQBO=xr4&xd7khMvlhMQL+x(ZL0ix zEr5BzcHm8P^nHp7YtB3+%bdoYBw!BnAPJ<0&rzCa8`gd9P*kpg4)>E`(vM^$>ib?d zrP(>77Q$}GUM&!DR2=T4RI)OVT)Ulq+1F}*c@^6L}rn~$8gyp)|8+mZI7SHK5Ob zpa__s|4z|nq@Hv82vUW^GAXY96#E+2yp3H)1tM?)R`L`NG9c`vM-e!H(`U|1!#<^Y z4PW5SUm%wWHq$$nPcFO~rn;kOkkpLrtWiyLk|LK}h6hl1u<#%Ym*Wlu_GJ#7K=xu5w43)3u zJN{u1-?OnPQNIo`m4N9XSbvSIHb$Hh5>ktJ4cs~AKHK};i+rbtP_VJg2=f}<_3Iml z!0a6zW97ztZkqYyi`zAH6h-?97{Bgcx`YR;op|~LQ#n}b==gfolC5zRQmR4)8>Mgd zdYZ9}TWJnz8Op@tw1Y$JJTg;N+lih%wy8+*qF~aUdHQ944*axmqIjVTK;`2b`a1-) zNddktO=Q>JWPQZORpb*X>u34%L&S5j#OYK;K+~G{AO5_if>$~5V|Td}N~DCor)ckF zkqk<90rv-Irg*a6tZhy{7Ds8F=h{&C`eJ}m1RDmPFT3eFQU7uj`ol`%8axtQa5@8u zT|V*@s^dU=)?ctVvio_FtdoZdPHfvxwTBiZ-V~*^9(v96x&LUSN%8fEV{*ZpG(8M9 zUPWQmE_HWzkin@B^%E>5e&C}Lxa=10+z!2_@-_cD0!CAixw!jegc4t66r?Bi_6c-Y zzDVd)9|h?e=y?25Noi?LR>f%)%to8pXJmGiNd$i+Dw14ae!78Z%h*S;qc z(Mrb8`y-7ROO-}#onBiIE*Qj@gI)0&b0veM@02s&N|cRZ8^nyP?Rw+%B; zRA*Cnm-6E=o0ga2ZfN}TA})~l{!n zz-rl3hU6UqjoLK`*s7f%oWrRbuxfG^sh5nuqTNNj?gpb7deoOop`jwG(OsE{nL^opmyelwAsizVLVsG|>PoH@=eMDbKov{Sz2rg< z#UTmK-4Zy&Qu}OZHfi?RHqmJ8%Y3y1g`6L;DG>I;w@KE2v80KebhIfjY7M4jeH5>P zrOhBUW!3#WbWB>Oyj_MEf3Z7Xy76R|RgT-^G!is-$gdh!P1-=gaC_{V{a`=XNPiqq~< zmFAdVmPhN%n+_1@R6-wRSlV=17X44?qtBU+&oZR0PJ|pGw#noJ5-i}T8ABcWIB z;NZNi1s^Ei;SgcI?-WG5WIP9D{q9B9^Kcv5u0FHsomKdOb8zN(LDZ*UQ_G5uuh?o5 zloF(0B}j2(sIkA|tHnlsTrOcZmN~B)*aZ55!I1BitcE100HFJ|&Y|*X={n3$^k_l{ z2IZN-?Zi}4`=w#^6edQ;V zQ{DFn2cl;$YlOFpUXnB>HmzT2v)q9oB^`l6ZTa_Pz1{Xd=N!8%^4UN++qDKzg4Ax1 zRW{{JE9Z;8lLi?0}P<}qvlc)bPg(~{+ocppN-JZ*I4OqGj+_wlA-s5PLO*R zKyg7nX?uAjnDj4)B?10Zv^(vGqidxXuqEsO+L1+QQ^m>hXBnRZ-6!XTFBN<@*_<3@ zp#hu_TDt5N@oFzehMzu1<)AWsK})?5a_jcN5#Y0c{iqFE56?T34qnJ{B#m}J6UQ%1 zb1bLhc5(sDyw`87W>Qq;S2NS|<=CIe@xCkiz}5T+*ojL;h~9QZby8FCyBoI$ zyq-xigmwV}V9c^#1LGFm zE4Qxxj5T8NuY;GtHn;eeWh!3}fzRKC!NJPrY z40-LK3=#;-gEIw{=ERYP?5jUPC#N|xZbQON$-W)iU@`v#TND%^*%fE|BqmU1zeWYE zr5LZ47Uv{l&i_gs{G?*&PtsH1XOVRMN=`klZ03;LByW8}z)3idiFMbLLWsU_&4Joy zXZg8fmkggvajq@du5#x|ll!s0LtnYL3j={yt+{6$n`TX|LCXlz2!j;%a~R!@D+w*> zbZpKNy{S?gsDsYQ&iUDCuj9)2mt~4Pb>o2<1|||YPKHpbp4z20pDk~z+KY-Fb8t8Z zdL_7#P)%&=M2<$e#RESM(v#qmU95@i$KIN__E!Q`#Q=&e=(*(y>WXYL?cGG0J@e!dZo+V@s(;k)Cu6XZWfD8ehO~mD&tAU^d zl*14dIEFeDy>3}cHP8R(S=CNX22vjCe!DkP>uhWms>KFzpn4FjBU>)1I34u|4jf6> z_3d*crOqr(5)Ps!JKu(SL;4Do=79pB^~L-eV$7cX;VzgQ=Iv8h-3C{IX8~H=+=VFE@(+d+8Hpm-H1QA72?=R_-u4KX64F{W81F@ z0q4+3BYr9HFIGiy9Bd8fq!lv#CwY5fY&FG3w!6zr^Zo4Cx9_nVOLgcyF0s182ktrx z&}@;tl#^rK&D6X616p8k-BwJ@L2h+BKLZ?PKu*=!mL5|Sh6Gn8D72R?@_lHlIgD4P zPhbf8Lshq)6F8Xu#3p}}{eaxkVh-*KIGRvf`wMD;UZ0oglel#r|UPN@LD#@wiuZ3@if`(9aAd_O`2p!A_BcY z7pF0N(?zI%fyJ6iK%C|hIF5%7Mk&0FpSwcfa8tn$g`&Ytv)3c~Es2iM?~eZ$XVoB< z4t&o4;j$c_a2H zgY5>vdN1CVv%Fa+=P;Ey_n)mNJ$&)2DDZd2mng{#wM#J}p)0gJAz!@?O#wmkxWUEI zx60Y0Rf+SR@1reRTwOdV#cnkCOKj_bn#5MDEz;Pko+slRj+T}p=_^7xjBZNXlpBZz zYnMkS-rY>yd8Df2PSBR>>d?Qrxv`bXRrvCDbLTWd*tmW6;gD4O4XA*>btau&Idxep zw0W#Kp_qJWu2m1!>iIG9ngK<4;p*jOB~cQl|^sU|}; zkgA&jb{*cr(rT@_=Met|i651c)L#M%M22Wu3EYYpn`3d7%vrZR(Wf}32P4ja&ru$o zD=uV>1uZik+?O+q4VlFfcANBM&*VKYLNAHNf*7N&5Q&CV$>Evf(>`{Vmm6Z(bys53 zp$0nONY?d!`&{tCPMisG>?3Wj71cgB!>w1vVr0-MuYTGTF<0|IRDYbU z&aicj$2>MZ&P`hTOWN||F~~01u?(0m7a8|SD8FVQ`@{Up1L%%O%4%Z__@FUOvj2b% zH<`hz-8fpAw4e((9PbH8)lD-vJ$-7Bw$v3q#HX--<+NW-ftxZbWNSihmu?3}?ulX= zVt}4>ZG1F!e(T{i5!*^^r`RvL%Wx(ettj&ioPu>Ih|c0j{7ix5+J`=lU&kEY@b?<_ z$uL}WJ6Mg>*|31?wu+=@5;-4WhH_@}N&KZ8MCkFEgTf)RG`6OzETGDwrLG8432)0I z!2!~)xRv$n1ub+tFw#U9efT#VFZvjQCMC6iWV*k=@7K*5M4kB`cLt#0bI$VH8oz=U z6@*5ncEz>>asd9gTyk<2c7ud+kK(AC z_3(sr%-3Q2uY$CXjy)FWLGg{dUJJD6FxxR)190Tj z35%KYN`UF0IS6BvtF`K21N)w%xx75cfoUBW+@U=3GR&26p7Dp!xtwPJL&VuW*-;Uv z_jKhfmqOVThIP;&Lh^S)$X{Xzoa=*X-8+8VvXF{k4@o>;_0`BT6q=Y_uLVM~L~O zthTNif-O&{fed{GWV4;5jeBR{U->&RiIsSdX~|o5Sf9WbZ%e(~{IAOtu98Lf$IgJA z4UYkrh3o?)qjOj5|etVQi$LxK9h4;NP1*_>3m0}jl#bv#~e9a#} zZ)esLd*C*_z{BQ1)!sqxk5bVOFTi4QF~!R)ze+3<73bN%OWZpM zy%IQqd;Zr92)I?z`hJ(P>~rJI!2Gw(WPYF50gd{TGufa>FdF7#>uQb+&NCt+?Y6|Q zY2rSBF9^L7xiGfiAO&%^l#TgJ$8j+C748<&R_FFgwCu=wz7^%x!1mJ&hdDE00`sxF zK#ebY=(Wbc+#BSYL_$bgwJLG@A@L@{_v-NlYukaO*h;V(k-8+L%IJeTvV)S+iEf<> zdWV$4epm8j%H~_gIIOS3KAW})a&;$u zor2gdx*lIchhr!lVuyWAFCl$hw9B4T@_Pg6FaQl;01`&c_eQlz?eqB(LpP3AZC_b9 zOWqcF_pcuQn5yY~f2D6o3Vu4W!Ly@lpSIon%R9sL7f`??0)N-NPq(i_wMKg-pOJ zHM%5e^BBhC5LK(GHYQR-Okc@E}K zee+(c%FY)2@B@EKbrUpX_dtfow_LKA$Tl&zPA%KYwxjrZ+sY%ZQJh}kV&`k{9p!}Hp^bH65nHF8x;J1Jaj$k*-g3bOQq72H0TLd}$Z zsJvDgZvTz)cGJzD@SH+~E0AVDR!(ijBnKiuiQlo58q#^d89<2Q9i{v&4IrUpUlNrR zM`7FN08H?4%0HutQFSbbHg`7Cn@yl? zd}<^jfU<;s$hY$_+k$T$f0zqckk8jaYD*=ST4zW=CIFHK_DSH&@ylOktP46laC~FQ zg9Kjb%7Y1+J{8e{>+BPKGo;NY{@y6Iy5&G1VE}mk4bZyvP1|J+b2{Yik; z0b{wJ*~J70J&cu%CD^JHuP$ogdcj8TsI}fD+#FNQw6KF$+j(ZH8iNvJ#%(?ffEW}K zp=xsX8@)pNdzn@+1%IYV@*2_N@a=7xL&EEhY&p@YiI}>Gb1HXVE5H^7SDK!UgSs~eJedB=j}641A`C9(t{Lyvt&l+o7xq2Xx(IY zDC$-NF^Xi0!>_g-F9sS9@7srJED!>KT_}OVI1FMLU?b~|Ks)1XPJBbXJC!Wj9wLtm zaj>d)`@xLE7$xq&$zQd>AQtOQvU`_*pb!GtsGEf#mw(3kd$G+WeSr#1llo?wI%m|0 zO+)=IfY0r)nbI7!gHNWxak%fZZ)QUFzwee(fQd~B%(v}2^it?1w543r`g(XC)z0MDQIC^MbhPJlxpQUxnhD+jNW_r5MqUT1gy%*xKca ze;h+w+3JJx%S?iq*2pX=dp@?4O(bwH?7m*3cDv82 z_UkxoLhLWkE!*C~wAI;gt4P%f)nCq98merN_GszTf&=2D?t63>%UT9Ld-A2g02(vN z-A4kKW1B{7Ch^nH6ObVs#%<=iFVEq{x#&k6Ilvb=qP3jpCwBewz2{VlB%e99up@^y z(M?_dpBHKSIZ62m|L+BWlegi6=9n|11emc(RW8p#mifxNfQ@$v!9`I)dqD}6O=FT_ z4wkoD2vXc}O_2>doMIJ*t5oJu=Uuao(`7{aF?rL`;I6kLuJ@LUIN!z0!++KvhB!6n zq0fJVg29$-$D@AWRvEjKvto*IV?m@c?)>R}F!3NqZD2^2{ZV#hN}jWpZ?S93*+rDk z2-PHnfNP;^Td4>Z<7xwU(ufn@R6(l=xC~SmE)>y< z!Kc5a@`e|b;AXx|!PsUmOvFw$=22#O$xClJkO;X*_FykMaW}?Fd^M(bi@HWWc1z~W zDtR`33S>&5QSh7vL%u*0PYia&4llczG#?t#t@44a}bdv4< z1*Sxbk_D~&-*VNc_v5_>ZleVFm;&*|*gfgL={DWqtTSN#7Gl9s1Fbh5QU-NM2=V!T z1T553aFVJN0;9|z|Db8XC+qwm4IV8-FMl-ts9SdLCsn~mGxy}xrcQk2LA_=f7(j2+ zNT2C1$_X3k++o_^Q`@SlQa&!vLJiVZE+aQT164W?NB>Y`&>3VJ( zdWJe$Bz+o6sswibbIRsGxYvuPgPlIf0`Ah`RI{a8eufl6bgIj2Oi!(ik9`Bz3+$Z!HC{tv+GGOszHS4K z-DQ^XEq9O!l0MU>)VeJqsJN*$RC7n*GRg$-Ju45bog3TXm|?9~(A zU#{?|QTqJlsdM$KiziGE&oah>cf1a2`k; z%m_@4q&h%zKuEpIVqzp)f^vi14XHsz6FksGf>!X)4OX4A7c@g(EI43cr`s!oGp%k$ z#HNcybY5=hrJ!w$8+g;jrvt)<^PJpir!YMn-dmDr#R+o78fByI_8XALn7GgFTKSoi z-6kA{G=k9J!GU%^UiNp>kK-k2xwUU|!WJ%m{8gMCNufB1PW zw$&|aM212V)$4tw;JbCE0#aZ0sdFE-JZyqoe;BbPJ&-c29LN5h+k@Nr%j<1>gldp>Cc}f80FFee+ z`zI5cX_;f*io(GghD6$4yt?SfC%T(;6CUcI_S2Deg2r&F8fs#ec%yu02HJtMQlp$J zJ*&V!U2XlAO%+vwuOUc};r5ekpb2VyBD-p5`l1<0kC5GbG zjn=oz{NtGNi+C(4p8nQCt%o^Bt}Xj$-Fo)Ru8-dWRom4{u{85MdfA-He9@^djWx*o zdews z3lG{lh*^8Au9kud{>dQWT2ls{YPqzqiy`g!+5x2FF%cKi6gLv8u{sg>LeeL)!Hw(v zUZ0A>5p#m^+>5G{oPL{a6;JHJ1N%dv01;d4GZ<)<7#q{f3RE&z8 zVM>fwZZu#0O=Q&v7XO_)t` zLND-!{N~$BZ#rtmNNZujgYqrD^hDEZY)A}y*6|E6bAHME+4t9CJ<@XtbqyZK=w#{+5>YxfZP)@yNJOcbc0DdhOQR3cAcoM>`UmzblFw3_TmrnHy+vsAxr z27sfj(d8j;9WR5z$sb0(Pva`GA?GU`$klh0QGm2qo9C91^UloOs3?J&{u=>RG?LRQK z*$3HP=1y9bm>aX(Jp4N%K7AB)zTZbT7DHDHJ&WuJMek%Ck`u61 z%2_ab?O5g8sN^zhd}}1UF$Tc5NX+oTe>R6DsmkQ->2?F3#jPR%W{pAf_G-~Y=#2FGY_wmc?KxL$kc~l_&Y7!18#;^A)TQD8HNE+B zm^F5j5U_1mZw0oN+;*?$)v+I<&A|D6NB#bUI@B7barcmPRjY?8bYs8n+anxiw%@2; z3AL}l>@R${NcCH>wEO0$v6wcU$p#N&Jx?zxkxI9Yx8R|Vhp%xl>VVh2+$ik&{D@_? zU1)Cel$p`Fd@}gw&(9ZOhm*_(AJX98#>{%vMF!*DET&?!+jcVVIP{9=cV0==diVFv z4?=^}6s0e4Xa6vBQK=#TjJpEJ#GXXo9Lx!o&xv`Eev{$$H~RBAhe#Zx2UHd1sjk2c|de$2ofh&|(?G?6-%-oWf*+05+_i{z`R_?u!D--Sa6j}n68Bv6Xx}2BpW?82cs*Tu@RMOGU1x=dHMVkf4l%n3G;9 zY*Chb-7Vc`T=5;8>04ocb;|8sB!WnxJ9m=%_^}6f0dMo1h`}^Tqb{LG@5;H z$m$oPj))56+20;lW{{Ytm9X#}p$stJBTngo7KDeg$F2qak>Q+Zw6$!CReOm}eyz{p=w2_R8}XIb(dnABPC4hca?tFH=35OIv3i?eoLqOOI`~# z+r3^lg>dTjRTf?3X?qRnD+|pvw=V`lI%C>>W3vMfH3QG96Lm7cKg?t$wce7Zl`07t z$~0!4y&{PF<=>4BT7Op5ms__5)s&G|?Z>s3@Z^>D10u==i0r+jD(&OPDEB zC-A51{)Kwp5qm+}EIL-3nbr=Jfm&v^cL^$f2k-cfVfd1#e>g#yN|KTJ8k5NN<;cxT zF#<;)S}n7J-Px=U zQY<|TtxBnaiWBV2_eW)TgA|5gN)I0xLyy}qpHZgOYFJQ;4))&dw4G~Y`H5aQK9E!~ z_WV;))_KV*CLSXq6=2zmbr>{@P=PqV#x$@A=;@`G(pL(T(+Z4r~ zo@b9SbwOQ&41>8&H>!K!5mMij)hq}8<2BKk^?Pra8%3J=YJu=<`3Xpp^mre=j@CSxUy-U=;=~o5RpC*>y zr!8T}BLKA-{?rs6o)pn|caz_-511IkOX|0*`X^s3Xz0?E=9WECvD%}URF1>hP_?IV z%b$lPYL%u+3<|D8)bapM{e61wyDV4VHu6c)=hK(4#RdQM+LsP+0l1`+FE;cZ(U3~T5N|0ud`R592Euyt&rTSyRsqyAcgrb082}zbSBD9 z?>{De2HvqvoAiX|h=Jw&^D2wPT>dIWWB<3rqo05=X7er-#^@$ zmlCD^Q2G5gR_bf7^IK&6P=+vWtkd{?3X6rE>LXd&-15Q;0=($WTc*OVFzht-wkrtc zJ+TL0ANOC+IB*xdn>n0mklSD_41nF2@&hfKl%ZlHqaBb&c|szOQFdnV8L85zcQx`3 z$3ju_dyq24v4+Sr#UA6b5L_O-S75}hoM&K8J|&y2mF1fCW5<%v@=H%BH6D_qYa zBH0F5)_+bB@`B9z)dQZKyt2kUJa}f9nKFJ+tw8Fr!HA6aia!KP1f6b=$Ol*3)ujRFw?+`ZBTTJ`g(JjrXKW zX8O~i-kcxjLm~7TrH)sDLz!pQ#Y|Fzzn^ISb}s$W7y%>!xs}a-?jg*r@q?tgv)1h{ za(J|%&hffV^1bnkYE&9@_e&Y|cjP@z>hsv0`}OTo1;q8&*x((fp9f$#JbNKtFDe@`-1n`>Y==??wCAitPsaFIfX5-+yokZ8| z%BCI9@meV>Ng~o~ggwg!W*v_Li!aGK_^PG8{b2p$J`4F&rla~+BVOAi?C*OUK#USAPf?EjpdYY3ndTIE`zESy{~d z-y{0gSea&M08TF@ZweSuU3o4vq9%9kTS@iK3eY(Voo6sD?N>y&a8J^ z_P6)N$FFpyd9l;6I)#cA&*?R3K0P?1Od41NY@`+H0}UiEicb5>|M@_LrI6YI;35IL zi6j#3(iK!E#W)3#&$x0>iF0VQTN@5`&9lC@V-e_sD8_#JhTBwG zzPrA{8b8mOSbI^*>I$&^1t3(yYR4AuV4lt&k3iIP>UydjcppDii0mn!6V)7DA(oIF zddqGKZN1)m(2-8#dP$I0=-JIc%po%Rf$&Xf08PDmAMm*cVdggv3<+DNQCEadQ!??nrip7L6`4~^Fl{-KjRHg^gy$mJF2 zisCcYePU-P7K6qHW~6Jt9nb4wKJ`kl{BhS7ZoRT}KND(3>dN9M^HlQxVo&y0LObawO_#%Ri-Efx6E81B2I`F-czDFm zgaOG089HZw5LwKIG_9KIONW_aWrm{di`&h^3P!~SF(0iFHq9WhGNheqO8WSEo_5A& z1VQRIT&5IzYp%(J&0_G=gVHp%>S9Ti2pyR5llweV)138Smngu5)y;eI5g3 zhe8=idt%&sM~B>CpV^AbVTHZ*tgjTSLMRp~dWfFGaQZ~GU|IY$)xk}Tt0vB|_xyi{ zUC9%=D8>3Pv-aR7+-Z26gA8)1*m@r_Pt`53tU7(?vqiig)y)JuOnhwsWuI{vJYlIU zgzK`Ay;Z<_Lz4Aw{fd-M=Dva$=}+5kC%UGZ)_MFBW6v>^Qpe*0F+|Hs*NZDWXD#xl zfS)AX|IW@Y?N{!W5XuUo`<=8_7xLL&JUe3yR>MgD1?s0ST%OI5tbUFIEAR}=lE41D z{P|4Tp(8PpK7fY2mkz?p>KmD_4Ug5E>6MOU(9EyHlzPZlHb3xDc2%)9q>Et~oPJ#T z>2&OM;zEewLiC{B_nA6w81(#z}J{NMnYNw%lG+QzfvXisuXw!fdRh>%8bJ-3SzNENQ+5}>w}Lz-L56eU_DZp@RQpgtiSa6 zg(u+t$df!t5zuPccz&s{sR3q?!AfpaaAklFcy9&1^=UaXBy3P!gLkee3>faMiXj~* zbzK26Sobwg#(cc>PR9CO@xsp@`v0pPghJD74C(;pFNu`8ToW%r)+0lulRqh^3e~;c z|L^omhsfiHOCT}zG3oVh?^rFp{tnj`#3{6@+8*Bqj(f=Uy#m(n@PLwJ{_P9PDrY{A zls_;zM}GR+quO7h6cy0GY2EVcPK4nu65j;GiBZq~yeis2{b0ZK4Co(Ki7~hRn?L;V zW_N!gX|_+np5tsh9P0rknwwmSoMkG!Wb@=Y$=#MZ^bvKR63bK)Fy{KUzZ0|!tO8QB zY>T_Micws-M6sTU^5gJMVznfW4~aM`!z=@yE4_wK9Vaj3#75BAKDhqOZ!4NQ#TE&q z+sw!`s3s@Au)AAM?%2a#f%Qyh7>Uqtq}Fa}7=A;(-_NlxPn`}cQnW$Km;MU18CAY_ z+id==u%?Pw2w3Br~UADT^duet71KBhbPM|4ws1=K<>iWFwMUg4ej&RT&D!u|8~Bt zjkA*OzbiZ@ne`_s;Agb?aJy5WQbmEF6TG8aLAq5|1yHO)%9SeLru4%cVL zTNq4+meWSe%-j(D9oR}Lz53Car3H2><{>JK-=eA6)+2w7em~PAS~BV0T^5T|ZC1eu(`>`PH(i%Ap(_?_Sx^7)7@(QXy;xsm z=%=N8IO?X`8R8{tmibR=uPF)9K6>qPFYr7``|v>yhw_Hs(lhyRq+ws2TfVX~bAW>` zu}2pCL{0RecpMbR0W-|~eEh>*(BAsPy0|{Mn-MTlGsQ>sRbByt9>Q)Q4OtCDSQ%1+ zj+I_P|JCTO2NFy0#c)b>-irwX+9};k8kF;sr0V9y4 z-2pPPuWUyFyY6)nyA}c3+A;|_rN~d?D}N1#O?rY2>W^eGr@AKjx`}%~l61v{M%ESBAC-S_ zVf7k*BJtcO_!QtYG8nulY8%h3Q35)LCYE=FGcW`z0ziTq`xVlMxi-oQc=~S_>I_ks zxr}pqoDv&F<&v$|9i8|IKjYP;3EDQth)v_ybdR=g0?K;-EZ-E#imzO0Gon$@mPv4!pZIWuR{+CB5bsI z2WC8)U7;5H?ExZf>V>-g?D{a?N%`0=kCTwyj^nCEW{EFKYy4__|L+BGEUyA68uN9Q z5-t}rcyW-#Uo>#57|rE?k1+|}%Pe>8jlon$jS+ds)piwIfAW5n(YQJPa6AbHOS2yC zSarM>q#nOjdUeNr!pX+<1TtpU;`9dG>m2>Mr;#SaO;51G>}8r#F;yn*#RzR0-1RT` z=CqJTm&)5e6Ya8n$nAieuZVQB=8=8lHL?FvYy~0^TY)E?u2dCWRT!Kz(Tc~x)awS^ z&hDa*LSyCV4NlX%&Dq%!8hM3|Jq#W;J+*EhZ+#XtT2rmm7cg--ydeATNWteI zEN;%-eCOuieeJ-tCq(=_ZG}H&-qV3wPJPky6#X8uG1yf4gP@0dBL^lb@w%xbT})MC zkfwmXlww7dWk;(>lnFXoCil@?On}G(;Z{01PNU)+m%CpPM)hMKOyu(@DTes=Sn>KJ z&VYB|n^%)X&sZPiyIb~XKS>eQV1bp|Y_wrVIzV>W%Br*DK&E?^JYG=Hr*bgM;?eA& z!EP;FPoYnfibvuN)kNnU4CC3fablJumZvI5I+o9aq2*Lxl+_+{Nj){+)DCL(~S~7kN zImPt#glrmnIaQ6C#Xq@Ju$y-5(CLKqm4fb!o3GfXG~@XP1{@6en)uGkUFCE$s4HJo zEt}9K_?F54nm0cu?hhn|-XA_$pY-aWiyW|E6U_a{(gk0Rg1gYYBxG+zGxWCaI6-?> zD;lq(KUU{76CaoM>*WuIadH3 z$VJ`XP}SLo#N45uL|O{|6zmB&_;~CB#^fq#eS1{5HkTwe9W)f+CvT%yC{NPVqr%1t7iaE=>7=V2I@tf+%B1MiJrkJcB zWj*uE$2DO>@$g5GyWjTzk}cCbjy~-H8ri zxPLkau7<6s={2Pmwcq|JQoNSMUYhrEQq7_7L_Rm>;-%0f#WLKp?yG9ejt zm&$X0t|vOX4LbY`zpX_GH5fy8a|!+~G_`7+wj-RosK^FyaRx$^jLN^(?T5B<*zU>N zOE>Q`j=kb$>HBUpsKNxEe&%wgd#g#Kg8r%Ot?sP|x(LL-hBQK+mE28s{)fG+1?UUeWNBsrDYMY0i>)*(ALFwYv`kU{| zy4usWKHdy<9>%kWNXl|nC5nQkYYm8S_+A|GR@Q^-PPPpsR;|}xTv0JAk z+2}sc%IOyt_shJ@d*{vUU-jn;ZUDY3F;XPZE zRCCc{*Bz<)EiKlOa5Ci4z=cnS(#*TE-OIogH8vMD-Ilu8ke2mrrdcf7qikPvTbPUq zA>ss^n{P5Gn0$Zk#JE8PVSCqm{tjkHLnraT^?iNWz0#{>_Z}uf1DCOO{Yx$LeiOIk z(m@OjkSkk;cR z+UIh)(`Z<}`_ZxTb;Y#I?BM6W@6H?Bz;1le{@rGodo1?fHDTM#=1(h(=e}My3cu*~ znp@cRqG`|76QI)-bzi(Xdf0)?{VdGX*Y0xHWlW+G4euYN`0 zF0YZn@g?S($3_nZlK<%UU4?*|giQ3keyhtd>I*o49`{~;0`K<0?>!;R{HS+D?44y+ zJo6o%W!q8&Pfb!DHeGact&tQ=Zdqr(Nb=j1&7pzj;eH~PVeS$FcBMRO+Ys*oVqs)oiFA+n8 z7|_;l*ob=)M+J|2nO0U%4ch|Ee z{(9@SKek;W)Nw0c_d6`j1ouz+x5CsjYMi4n6^1T|{ch*`UKRL~F- z@_YOKa-S!8lKgjb?z!hR&Pfa~qW;)tz;qW*LQFUq!b|&juRh5oz9-jPTa!+3vHj%A z1cGuZ)Gp4~BW<-2DSRQN4*X8G?jSIkC_=^RGa;+q4G6JnfL_f&jw zJfu=G_#DTfA&fZ^Ry(g$r+q(58^}dHI9bN4>|ebj=|)}*96Sldzo53*&y$hm`bBkn ziVkyzET=5L?oX`0-?XDK(oiro^U9LXXy3g4Hx}vkeinI)+T6rM-n_RnMI~2Abv8&t zLjxYJC#g!L1$%YUg2Ly|0ZwtJcUA?N3qM+Fomn?_(vf(4v^pPUoLEl5YcM4*6qvIX z;i-I0nh%!t*4Rr@y@!}71TO=p3j7AoH8q^1D0x(9OgNSGL}98Ts?7$_JlBW*Tk-Dt z`CuVq*Z2j8#LI9-4oQJe4bXQE@J0Q{w;U*O2Wl$(q(FBA9q8oNx7&3J3%rH!O`^P};rR=?`+Cax_5;68%<~9S`|rJq+)ucz)Mu?@96Uax;r^}WYzu%id;;Wm^Lnd5 z`oy_&5NV^K3?PA(?=Pbp<&f69%KHQDgSzVir1yfBs_Tlow|CDx}Czjb+j<4`}%S?e4D+orC*y$V3)DF^LW+vntS;vVnUq^3^Yp zqo@RCFOS{o5((+0pX%KoFVUul_yL7QlHFzLRMB>6738~oW96P+_MJ|0Wd?z_tK8#t zY{!~JoFUz z4^eSz)25SXrY-@GRH_xeXI{{`81D_zYYR7CgR9c|x5WO|7?Qn8=Fxu?3-*`a6eH8i zLx#62C#Oui{ib$-|1uN1QsW#w6MCzqqNFC3m*$cKaX;skSf>-ND>7LYCT41zXA7HY zokz9`i(b*A?l7-`rYXQZL}rW&t?QW?Uf2t9zeW6X2|iEz`~rViaP%u>+PE?#`YO?4 zF25fc#x4od-$?a>CFcbH*m$zbfenc==bVE#<=iQJRL3V+_pNRyH@Fk|=oeOzCNqvZ zqD+hwyT(?A@dTK{*}U_ArOoD#9;vic_p^10#N68%{J4GDr<2ui@ZmoJ$%HASLH1lj zH`CGjd0rzXYwxP~-THvR>1^lwK2`NATq721xfRH*hSDEb;r z%>=n`#rd^XU0ln$OY#QSm75~ykRNDwp%R^sAmi2$!vy^N>fBtYI-!~?p*(o4F8DrQGODU13%nFH)0CA_&}cu(_M^0$SqmvMi{8>5HdUO@T- z5v|3jDOtLNG!2r|1%y#2tkICfG{Cj5QHF*FChT39qJF|!YBFc>Q`WpP>0|7?rsumJ z2)Cw%H*WV=Q|;z4Ce}Qzr6Fsg)+i1sN2>3k3{w`bz6mDQwoD<->Ylvh`MC(pVvxU9 z|Mk{Sm=%3d6~gwZw8D=b7V?xN?1b-3VovS=G-B5G>Ck|JQ4>?sLO!&sTQo-H+XZoDk8IlPrMlq*|i;p>2KRnzS|wE0cut7+|U?TnPT^xO-nS!@T0dU|nPwy;b^JHh4Z**!TF zMTAQGx-p+t>gIMN!yOh+IJVi3u>Af#S;$}E^-}w*(xp?)r+_fe<~8WsLOK{wP5;zd z9M3zf-#MH?srODdP6;AT(m8m(h@m*BqxN(TGTCu#v_DRmUfF+dfeLsV$EnyOQp_ZZ zel!=8@Y^}UWZl%T_u$jtQ$D@RT!IVrJXRi$gkr8}Nz{s{=i@==hK;sX9%;d~N_C8_ zIy+QhN6Kv*R8hICKh&&o)&4kE4LVoB*=WNcjn5ceDxvFJs8ImyIa%Zpj;U-JvQn9Q zIh3n#*??XF=g#VS^(b`Bv#R047ekI!UWx4dGvuJK zANFLaAxK4BEv9hcJy6J6;FCz?mO*v`t5~5%j*+`waT}j(HRaantXp-&P=!j{yPsVK zfuvslAV9;77&NkPTJW8NQ%l|~0!doygKlIQhbjbJ+daQnrm%{Wcxc_>6hLTW;4RxSkSE_c2k$o&apvKwl|sIV4bS1E_@wn{4RzJh2N zLI=K{zbCPfIbS5TL3cxxS;XAdJ4d-U}EI~(!$oud>2Z~HnI zImKKpeE9AxIcFCzBT?H@d{Y|hmL>x>JK6s=`}}>K$cVLc9Xdt~(0M4hMa19m$qI0O z45`w474xmlaacruJS)?C=+B{PLL7Z-2fEiL)_;8G(Oq;Z;b`^w;Fbze)`esuJFd_F z6r{#@-C?iyw4qy>2)LM!B4oqCfAwgBVZ!*S9o0fN;p2Xk5hhbdJJNIT5^N+{9^6635e#^ zNFcK>pF}Yhkm$3_S0flpYXanwC)$f&b12JDkXLS@*=3SDOJJtY6r6wM*K|ynIpy5Y zG`FuiAOeJz@HJG~_cy=@2;MlR-Z#c9`Qwv`r22xDts;ICHrtxa0W?GjGF~fJ6nc4e<{+#vcuv)ebD^J3~i`- z5GZZlk`B_BeyYnDZuLW%ChjxSJ@*XGXOioKH|^5}WL=i`1U?4vIs%}!Au{MUJ$z$ zEgY~8Bfff$sl|Srt+pMW0%bzywBx@l^%8J$JkJDBC7i*o z(XW;q;KDbX`ai|HI_DD>Va25v#v9)d3rZ&E-4{iG2*7VfOIEUi>?0%=>5Jb-?*dTt z@s8+)6k$aMca!n^O!9g74st}S@ksw+B#PlK&qH~kUuJhz{2BVhl9^B(N+L=$j*Sr; zWrgK2%MkwJwt(zp73iloE10~BEz5VloV(jR_*33E1kVP+thW}BL?QZ}h%*)|9uok7 z@3fc483lPnT^I(cx#$7``2FP-zZu5tw6Kpn0tNq@1l*O%i%94y`1CJlsmrx$Px=JN zIiiuI*iDwdvyN9wX=W>xxV^j^1vqS2&!rooq&zd*!H*Jv5hiH8^j+koFW`#i=me(7 z|JoEiySxn>^MYegI$N_@ZCnW%~u=Z$D}bsft-*CqU8-!(y44^88j?nKkPY$z<` zw?7k-?^k^hZ6$c{(!P}Q-SnQT{iCpZ>Pt&)iL5f!oqPZNm%21HGT0t3p9*E$Qlli+ zjGmnpJ&X0fduM<#Nl2Up6~xq?k<8ZyH~(%-OgJlM$^#_>E^VK$|0ENVyd_w&dQo|# zE=_)(L$lHCRKsK0M%g}k%Fds3B9xd;&*+6p<1PpbK#-P`?Rf_GBAC2PtDDJH z(37O^eT(dPwR0`q5#IgL^+xUOiWxr6k3yq`@!;rZf75jg?yLXqsj94#XP{&^-If$Q zW6b;Zk2g!Sp|Nq&VAAu!cFfDBH{!BBRd!S#sU320<4coHd#-aqHobPnp=m}qRf)YH zstX>z9ZtX6-+HYyOy>dfkgft{atg>JZNivis~y{C0A5yDNVx#&Z;5$99vIlYvDf$k-c}u#MW0);71r+94?S z79OYg?-sdWWI`TZeWVR=n^hv`ikF5$qWj>6KhRCg<=@M-$X7{qygu3a_w^M-hJBFk z;fST5$E~>=Zr@M$*LQoAiQy@t3o?K`agBm=24G5K<%;uExSq_d?zvQ!q?PS9;DXqa8vr3mJ)FGGvL0^9X2 zHKvDueh;RBXacewM_t~QcNICcx=iDkX!6jasBPM7bXSj~lIjFlGPg7WunkjI7h(zZ z6Atlf<=W z_|YagxPfc0b8LS^VlZ3d4u=9vUqD0frtGdE`WbWQD?6gDqI8JA=eQ-QwFn$p}iEusJL-ZxxL=;a9s9!^3 zW37mlGDrzi@G%~~NigYLJZ3~S02xA}*iOg&a~!xN#a%?XKk*dX%XeNy0GcFn2WY{V z0l*55H{Q?pUp|!nwE5=y{zzj07epS2euqTqS|GJ%8uHWuFDL!{E5ggl$8?-0O52M7 zyNzisd7(#6JMw&r|6ghdW;oIL@c*0#@fbC@YESm&1@|<#BT3eI`@9t>=or-=O67T< z(U7x!V&BpXYsjfAM4&Z;S;i;Q?6QikJ3%IKaDOHtH)u^djWjwUQ2RRPLRd;K_(`oy(3Jz82yn!{#66+arEwR(+I~z6Itv zd~P%|5<4`cWf!EdJ6JhXrJALg$u* zYF?TYg?DEYE9`Ewzcb7gVAY~eEZ3oTWU~4gxq*#W6GNY-(~c5;USdS zE(-J%U@ZJ9F@3ARou^@)>=>OoEUWaKFd~D;rNFtpNgwO)5P>>=s`@Hc%K&<}SjN&o zWQIH_YGHV>L%3>M+KCJwZ74u1TP){0JNsTpVEPGg&)xab_OS2X*@N}46Vw1PA$RbXsX6f}JXyI^ z-ylvIbVAPLfgGW8?LFAY7ZC<{IRN{q!@Q54kw)Bbl+z|e@5FB*)t-$;|9mK4Hhp=! z4`h|qd&=RFY|%Vucp3hn6t-bdT~Ox>wUWO3J5^xq8>i;dW3Y?mSoyKd9Lf8@RIsUm z(Un1nbs;0{bEEQ6Y_of257pwyns!S_EN(UbvsyB9Jwc3N1;1x{6X3@7zMO4FKNB=n zyu&G#-9i%*2)dDftSW{##B1R-9m>u4CoFPQ4J=pR(2{3rnZ@UTfN{c^-m?Z6hW!Ly zC*y=DadZcpCq(RY5ja{edW07N#0MX3PtF^sHtIXK8_ZV{AS?ffKF!&l8+#A`V>p(u z{xzFK9vs$>j2(Fd8#5j3wd^B%Y?mZ(egG)6IqCiglua!;0xWWGhJ0!ox2h8ZWX9v^ zOwaSlzy=(hWWOOsSOr5HDIB^v9i{Uf-7cTznw67BzODGY;^I;j` zj)9GT_RZjrBJ@@!5Sz42mK=$@X0(bvuEExuKK{Cbe2;ca22?f=MKhlVPxu<%4k<}v zs-?*X$3WAUp01a?Txn1tgwd9$xC)Ax12#qsE{B_`r*0};tmp1@DrdS>*+O_|U z`AtpptviiRIT?iZPyux)_Du}Au8ZYfgs}LEog1%i055okY)_W2Dk3Oz!51MUYhYTQ zlSA5cEF(8tc(OehSGFRwta+#0uu`YquhBWuPG)a_hP+oLt}J%i4k`%u@GD0Sp8ZmbvZd4}P`Jo@4*~ z2>tj@X&cK~9ed=K$++_Kb3|KG^r;)Ljjulew8VPN6fN(nAX)ji+eOxpWUWjG1SA%{ zF>XN0(=9(MB%oE0Z=4ob<*;&so~f3GUOG7s1!JAn*tz`;wD%z0Q5>8L11V-^i$o&B=<3%9f-gtD(;<&pfxVD>rVB+pyPREaAjVrj&LY46qFN! z(U8^zKXl0w&Qlk>M@r`IR|#{{{re^}ar0>Aw>$6U8$O+>Wl`E84-+RCOtM)kj(66U z9Lns2I}wwC6Qv8Ar;*L1IWD_|2H=o>GXv;9BUtbI=|7f0Sg~KP;{jW3+TZN;Zzzbv zZSGQ@9|=_Qmd@PNbqDGd`6VEgd1)S@jl4&flu!Ht?#BIH6f0{;H_RjGGZ23IDhK56 z8Oxgch{kN?n+d?a*lMt*C}jL0>+B;UQEX(t2sPPLxm;2EC$}{=d{AUEFUaS;6P0ij RKLzlBJkwFDdSdhL{{ZaeUxxqy literal 0 HcmV?d00001 From d2e0c760a592dcf1d8d33012dda3a992667f494b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9D=D0=B8=D0=BA=D0=B8=D1=82=D0=B0=20=D0=9F=D0=BE=D1=82?= =?UTF-8?q?=D0=B0=D0=BF=D0=BE=D0=B2?= Date: Sat, 21 Sep 2024 12:23:11 +0400 Subject: [PATCH 2/4] =?UTF-8?q?=D0=A1=D0=BE=D0=B7=D0=B4=D0=B0=D0=BB=20?= =?UTF-8?q?=D0=B5=D1=89=D0=B5=20=D0=BE=D0=B4=D0=BD=D1=83=20=D0=B4=D0=B8?= =?UTF-8?q?=D0=B0=D0=B3=D1=80=D0=B0=D0=BC=D0=BC=D1=83=20(=D1=81=D0=BE=20?= =?UTF-8?q?=D1=81=D1=80=D0=B5=D0=B7=D0=BE=D0=BC)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_1/lab1.ipynb | 77 +++++++++++++++++++++++++++++++++++++++++------- requirements.txt | 39 ++++++++++++++++++++++++ 2 files changed, 105 insertions(+), 11 deletions(-) create mode 100644 requirements.txt diff --git a/lab_1/lab1.ipynb b/lab_1/lab1.ipynb index 7848750..ff44ff9 100644 --- a/lab_1/lab1.ipynb +++ b/lab_1/lab1.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -36,7 +36,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -195,7 +195,7 @@ "4 1,000-5,000 " ] }, - "execution_count": 45, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -205,9 +205,16 @@ "df.head()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Выведем названия столбцов для удобства" + ] + }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -219,7 +226,7 @@ " dtype='object')" ] }, - "execution_count": 11, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -237,7 +244,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -246,7 +253,7 @@ "" ] }, - "execution_count": 61, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, @@ -265,6 +272,54 @@ "df[\"Country\"].value_counts().plot.pie()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Стоимость 10 самых дорогих компаний" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Text(0, 0, 'Bytedance'),\n", + " Text(1, 0, 'SpaceX'),\n", + " Text(2, 0, 'Stripe'),\n", + " Text(3, 0, 'Klarna'),\n", + " Text(4, 0, 'Epic Games'),\n", + " Text(5, 0, 'Canva'),\n", + " Text(6, 0, 'Checkout.com'),\n", + " Text(7, 0, 'Instacart'),\n", + " Text(8, 0, 'Databricks'),\n", + " Text(9, 0, 'Revolut'),\n", + " Text(10, 0, 'FTX')]" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot = df.loc[0:10][[\"Company\", \"Valuation ($B) \"]].plot.bar(color=[\"blue\"])\n", + "plot.set_xticklabels(df.loc[0:10][\"Company\"])" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -274,7 +329,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -283,7 +338,7 @@ "" ] }, - "execution_count": 72, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, @@ -311,7 +366,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -320,7 +375,7 @@ "" ] }, - "execution_count": 80, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..65f6859 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,39 @@ +asttokens==2.4.1 +colorama==0.4.6 +comm==0.2.2 +contourpy==1.3.0 +cycler==0.12.1 +debugpy==1.8.5 +decorator==5.1.1 +executing==2.1.0 +fonttools==4.53.1 +ipykernel==6.29.5 +ipython==8.27.0 +jedi==0.19.1 +jupyter_client==8.6.3 +jupyter_core==5.7.2 +kiwisolver==1.4.7 +matplotlib==3.9.2 +matplotlib-inline==0.1.7 +nest-asyncio==1.6.0 +numpy==2.1.1 +packaging==24.1 +pandas==2.2.3 +parso==0.8.4 +pillow==10.4.0 +platformdirs==4.3.6 +prompt_toolkit==3.0.47 +psutil==6.0.0 +pure_eval==0.2.3 +Pygments==2.18.0 +pyparsing==3.1.4 +python-dateutil==2.9.0.post0 +pytz==2024.2 +pywin32==306 +pyzmq==26.2.0 +six==1.16.0 +stack-data==0.6.3 +tornado==6.4.1 +traitlets==5.14.3 +tzdata==2024.1 +wcwidth==0.2.13 From 428f05a3c14d0867e3f4172af8892ceaf44a1f83 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9D=D0=B8=D0=BA=D0=B8=D1=82=D0=B0=20=D0=9F=D0=BE=D1=82?= =?UTF-8?q?=D0=B0=D0=BF=D0=BE=D0=B2?= Date: Sat, 21 Sep 2024 12:28:09 +0400 Subject: [PATCH 3/4] =?UTF-8?q?=D0=9A=D0=BE=D0=BD=D0=B2=D0=B5=D1=80=D1=82?= =?UTF-8?q?=D0=B8=D1=80=D0=BE=D0=B2=D0=B0=D0=BB=20=D0=B1=D0=BB=D0=BE=D0=BA?= =?UTF-8?q?=D0=BD=D0=BE=D1=82=20=D0=B2=20html?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_1/lab1.html | 7937 ++++++++++++++++++++++++++++++++++++++++ lab_1/requirements.txt | 59 + 2 files changed, 7996 insertions(+) create mode 100644 lab_1/lab1.html create mode 100644 lab_1/requirements.txt diff --git a/lab_1/lab1.html b/lab_1/lab1.html new file mode 100644 index 0000000..bc73b84 --- /dev/null +++ b/lab_1/lab1.html @@ -0,0 +1,7937 @@ + + + + + +lab1 + + + + + + + + + + + + +
+ + + + + + + + +
+ + diff --git a/lab_1/requirements.txt b/lab_1/requirements.txt new file mode 100644 index 0000000..7a496b9 --- /dev/null +++ b/lab_1/requirements.txt @@ -0,0 +1,59 @@ +asttokens==2.4.1 +attrs==24.2.0 +beautifulsoup4==4.12.3 +bleach==6.1.0 +colorama==0.4.6 +comm==0.2.2 +contourpy==1.3.0 +cycler==0.12.1 +debugpy==1.8.5 +decorator==5.1.1 +defusedxml==0.7.1 +executing==2.1.0 +fastjsonschema==2.20.0 +fonttools==4.53.1 +ipykernel==6.29.5 +ipython==8.27.0 +jedi==0.19.1 +Jinja2==3.1.4 +jsonschema==4.23.0 +jsonschema-specifications==2023.12.1 +jupyter_client==8.6.3 +jupyter_core==5.7.2 +jupyterlab_pygments==0.3.0 +kiwisolver==1.4.7 +MarkupSafe==2.1.5 +matplotlib==3.9.2 +matplotlib-inline==0.1.7 +mistune==3.0.2 +nbclient==0.10.0 +nbconvert==7.16.4 +nbformat==5.10.4 +nest-asyncio==1.6.0 +numpy==2.1.1 +packaging==24.1 +pandas==2.2.3 +pandocfilters==1.5.1 +parso==0.8.4 +pillow==10.4.0 +platformdirs==4.3.6 +prompt_toolkit==3.0.47 +psutil==6.0.0 +pure_eval==0.2.3 +Pygments==2.18.0 +pyparsing==3.1.4 +python-dateutil==2.9.0.post0 +pytz==2024.2 +pywin32==306 +pyzmq==26.2.0 +referencing==0.35.1 +rpds-py==0.20.0 +six==1.16.0 +soupsieve==2.6 +stack-data==0.6.3 +tinycss2==1.3.0 +tornado==6.4.1 +traitlets==5.14.3 +tzdata==2024.1 +wcwidth==0.2.13 +webencodings==0.5.1 From 165786817e4eba469eaacaa403303af2ef3e4113 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9D=D0=B8=D0=BA=D0=B8=D1=82=D0=B0=20=D0=9F=D0=BE=D1=82?= =?UTF-8?q?=D0=B0=D0=BF=D0=BE=D0=B2?= Date: Sat, 21 Sep 2024 13:35:45 +0400 Subject: [PATCH 4/4] =?UTF-8?q?=D0=A3=D0=B4=D0=B0=D0=BB=D0=B8=D0=BB=20?= =?UTF-8?q?=D0=BB=D0=B8=D1=88=D0=BD=D0=B8=D0=B9=20requirements.txt?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- requirements.txt | 39 --------------------------------------- 1 file changed, 39 deletions(-) delete mode 100644 requirements.txt diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 65f6859..0000000 --- a/requirements.txt +++ /dev/null @@ -1,39 +0,0 @@ -asttokens==2.4.1 -colorama==0.4.6 -comm==0.2.2 -contourpy==1.3.0 -cycler==0.12.1 -debugpy==1.8.5 -decorator==5.1.1 -executing==2.1.0 -fonttools==4.53.1 -ipykernel==6.29.5 -ipython==8.27.0 -jedi==0.19.1 -jupyter_client==8.6.3 -jupyter_core==5.7.2 -kiwisolver==1.4.7 -matplotlib==3.9.2 -matplotlib-inline==0.1.7 -nest-asyncio==1.6.0 -numpy==2.1.1 -packaging==24.1 -pandas==2.2.3 -parso==0.8.4 -pillow==10.4.0 -platformdirs==4.3.6 -prompt_toolkit==3.0.47 -psutil==6.0.0 -pure_eval==0.2.3 -Pygments==2.18.0 -pyparsing==3.1.4 -python-dateutil==2.9.0.post0 -pytz==2024.2 -pywin32==306 -pyzmq==26.2.0 -six==1.16.0 -stack-data==0.6.3 -tornado==6.4.1 -traitlets==5.14.3 -tzdata==2024.1 -wcwidth==0.2.13