Update parquet files (step 102 of 249)

spaces/1gistliPinn/ChatGPT4/Examples/AutoDATA 2006 V3.16 Serial Key Keygen _BEST_.md

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-<p>If <var>serialized</var>.[[Name]] is CallValueError, then set <var>prototype</var> to %CallValueError.prototype%. <p>If <var>serialized</var>.[[Name]] is LoadError, then set <var>prototype</var> to %LoadError.prototype%. <p>If <var>serialized</var>.[[Name]] is UnsupportedOperationError, then set <var>prototype</var> to %UnsupportedOperationError.prototype%. <p>If <var>serialized</var>.[[Name]] is ValueError, then set <var>prototype</var> to %ValueError.prototype%. <p>If <var>serialized</var>.[[Name]] is ObjectCreatedError, then set <var>prototype</var> to %ObjectCreatedError.prototype%. <p>If <var>serialized</var>.[[Name]] is ReferenceError, then set <var>prototype</var> to %ReferenceError.prototype%. <p>If <var>serialized</var>.[[Name]] is URIError, then set <var>prototype</var> to %URIError.prototype%. <p>If <var>serialized</var>.[[Name]] is TypeError, then set <var>prototype</var> to %TypeError.prototype%. <p>If <var>serialized</var>.[[Name]] is URIError, then set <var>prototype</var> to %URIError.prototype%. <p>Let <var>message</var> be <var>serialized</var>.[[Message]]. <p>Set <var>value</var> to OrdinaryObjectCreate (<var>prototype</var>, [[ErrorData]] ). <p>Let <var>messageDesc</var> be PropertyDescriptor  [[Value]]: <var>message</var>, [[Writable]]: true, [[Enumerable]]: false, [[Configurable]]: true . <p>If <var>message</var> is not undefined, then perform! OrdinaryDefineOwnProperty (<var>value</var>, <code>message</code>, <var>messageDesc</var>). <p>Any interesting accompanying data attached to <var>serialized</var> should be deserialized and attached to <var>value</var>.</ol> <pre class=code><code>Object.defineProperty( String.</p>
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spaces/1pelhydcardo/ChatGPT-prompt-generator/assets/Blast Your Way Through Enemies and Become the Tank Hero in This Action-Packed Game.md

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-<h1>Tank Hero: A Guide to the Best Tank Games on Android</h1>
-<p>Do you love tanks? Do you enjoy blasting your enemies with cannons, heat seekers, and howitzers? Do you want to experience the thrill of tank wars on your Android device? If you answered yes to any of these questions, then you should check out Tank Hero, a genre of games that features awesome tank action and fun gameplay. In this article, we will introduce you to some of the best tank games on Android, including Tank Hero by Clapfoot Inc., Tank Hero - Awesome tank war g by BETTA GAMES, and Tank Games by CrazyGames. We will also give you some tips and tricks for playing tank games and answer some frequently asked questions. So, what are you waiting for? Let's get started!</p>
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- <h2>Tank Hero by Clapfoot Inc.</h2>
-<p>Tank Hero by Clapfoot Inc. is one of the most popular tank games on Android, with over 10 million downloads and 4.5 stars rating on Google Play. This game offers fast-paced 3D tank action on your Android phone, where you have to take out your enemies with various weapons and tactics. You can battle tanks in over 120 levels, engage in tank wars over 3 unique environments, and choose from 5 different weapons to suit your style. You can also play in campaign and survival game modes, and enjoy the support for HD devices and tablets. The best part is that this game is completely free with no consumables, time, or upgrades to purchase. You can also play it offline without any internet connection.</p>
-<p>Here are some of the reviews from satisfied players:</p>
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-<li>"Fairly good tanks game. It's difficult trying to shoot at enemies close by because the tanks does not shoot. The stages with the blackholes where the tank emerges out of nowhere are annoying. They are like a box of chocolates; you never know what you're gonna get. The survival stages are awful. The grid always looks the same and you're basically couped up with 15 tanks that are destroying you continuously. There needs to be a quicker way to switch weapons in Survival mode." - Junior Tlhape</li>
-<li>"I literally only play two games ever, this game whenever I am not doing anything and can concentrate on it or Pokemon Go when I am on a walk. This is SUCH a simple game, but it definitely gets harder level after level. I recommend playing on Campaign Mode first to get used to the arenas and types of tanks against you. When you are ready for the main challenge, play Survival Mode as each wave sets you up against more and more tanks on your own. Amazing job in designing this game." - Andrew Angel</li>
-<li>"This game is actually good! I thought this would be somewhat okay considering the low-shaped tanks and the low detailed textures, but this is actually good (x2)! Simple, challenging and very little ads. I also like the difference in tank abilities/speed; makes it more of a challenge. Gg (literally)." - Germane McCrea</li>
-</ul>
-<p>If you want to download Tank Hero by Clapfoot Inc., you can click <a href="(^1^)">here</a>.</p>
- <h2>Tank Hero - Awesome tank war g by BETTA GAMES</h2>
-<p>Tank Hero - Awesome tank war g by BETTA GAMES is another great tank game on Android, with over 1 million downloads and 4.2 stars rating on Google Play. This game is simple but challenging, where you have to use your special ability to defend against waves of enemy tanks, then find the opportunity for a counter attack. You can upgrade your weapons and tanks, unlock new maps and modes, and challenge your friends in multiplayer mode. You can also enjoy the realistic physics, smooth controls, and cool sound effects of this game.</p>
-<p>Here are some of the reviews from happy players:</p>
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-<li>"This game is very fun and addictive. The graphics are good and the gameplay is smooth. The only thing I don't like is that sometimes the enemy tanks can shoot through walls and obstacles, which is unfair. Other than that, I recommend this game to anyone who likes tank games." - A Google user</li>
-<li>"This is a very good game. It has many levels and modes to play. The tanks are very cool and have different abilities. The multiplayer mode is also fun and competitive. The only problem is that sometimes the game crashes or freezes, which is annoying. Please fix this bug." - A Google user</li>
-<li>"I love this game. It is very challenging and exciting. The tanks are awesome and have different weapons and skills. The maps are also very diverse and have different obstacles and enemies. The multiplayer mode is also very fun and allows you to play with your friends or other players online. The best tank game ever." - A Google user</li>
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-<p>If you want to download Tank Hero - Awesome tank war g by BETTA GAMES, you can click <a href="">here</a>.</p>
- <h2>Tank Games by CrazyGames</h2>
-<p>Tank Games by CrazyGames is a collection of free online tank games that you can play on your browser, without downloading any app or software. You can choose from a variety of tank games, such as Tank Trouble, Tank Off, Tanko.io, Tank Fury, Tank Wars, and more. You can play solo or with your friends, and enjoy the different modes, graphics, and features of each game. You can also rate and comment on the games, and see what other players think of them.</p>
-<p>Here are some of the reviews from satisfied players:</p>
-<ul>
-<li>"Tank Trouble is my favorite tank game on this site. It is very fun and addictive. You can play with up to 3 players on the same keyboard, or with 2 players online. The game is simple but challenging, as you have to avoid the bullets that bounce off the walls and hit your opponents. The game also has different power-ups that can give you an advantage or a disadvantage. I love this game." - A CrazyGames user</li>
-<li>"Tank Off is a very cool tank game on this site. It is a 3D multiplayer game where you have to capture the enemy flag and bring it back to your base. You can customize your tank with different colors, skins, and weapons. You can also join different rooms and teams, and chat with other players. The game is very realistic and fun." - A CrazyGames user</li>
-<li>"Tanko.io is a very fun tank game on this site. It is a multiplayer game where you have to join one of the two teams, red or blue, and fight for territory and resources. You can upgrade your tank with different stats, such as speed, damage, health, and reload time. You can also cooperate with your teammates and use strategy to win the game. The game is very simple but enjoyable." - A CrazyGames user</li>
-</ul>
-<p>If you want to play Tank Games by CrazyGames, you can click <a href="">here</a>.</p>
- <h2>Tips and Tricks for Playing Tank Games</h2>
-<p>Tank games are fun and exciting, but they can also be challenging and frustrating at times. Here are some tips and tricks that can help you improve your skills, strategy, and enjoyment of tank games:</p>
-<ul>
-<li>Know your tank: Different tanks have different strengths and weaknesses, such as speed, armor, firepower, range, accuracy, etc. You should know what your tank can do and what it cannot do, and use it accordingly.</li>
-<li>Know your enemy: Similarly, you should know what your enemy's tank can do and what it cannot do, and exploit their weaknesses.</li>
-<li>Know your terrain: The terrain can affect your movement, visibility, cover, and shooting angle. You should use the terrain to your advantage, such as hiding behind obstacles, using hills for elevation, or avoiding open areas.</li>
-<li>Know your weapon: Different weapons have different effects, such as damage, splash radius, reload time, etc. You should use the weapon that suits your situation best.</li>
-<li>Know your mode: Different modes have different objectives, rules, and rewards. You should know what your mode requires you to do, such as capturing flags, destroying bases, or surviving waves, and play accordingly.</li>
-<li>Know your team: If you are playing in a team mode, you should cooperate with your teammates, communicate with them, and support them. You can also use tactics such as flanking, distracting, or ambushing your enemies.</li>
-<li>Know your limit: Tank games can be addictive, but they can also be stressful and tiring. You should know when to take a break, relax, and have fun.</li>
-</ul>
- <h2>Conclusion</h2>
-<p>Tank games are a genre of games that features awesome tank action and fun gameplay. You can play some of the best tank games on Android, such as Tank Hero by Clapfoot Inc., Tank Hero - Awesome tank war g by BETTA GAMES, and Tank Games by CrazyGames. You can also improve your skills, strategy, and enjoyment of tank games by following some tips and tricks. Tank games are a great way to spend your time and have fun. So, what are you waiting for? Download your favorite tank game today and become a tank hero!</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions and answers about tank games:</p>
-<ol>
-<li><b>What are the benefits of playing tank games?</b></li>
-<p>Tank games can have many benefits, such as improving your hand-eye coordination, reaction time, spatial awareness, problem-solving skills, strategic thinking, teamwork skills, and creativity. They can also help you relieve stress, have fun, and learn about tanks and history.</p>
-<li><b>What are the drawbacks of playing tank games?</b></li>
-<p>Tank games can also have some drawbacks, such as consuming your time, battery, and data. They can also cause eye strain, headaches, neck pain, or wrist pain if you play for too long or in a bad posture. They can also make you frustrated, angry, or bored if you lose or face unfair opponents.</p>
-<li><b>How to choose the best tank game for me?</b></li>
-<p>The best tank game for you depends on your personal preference, taste, and device. You should consider factors such as the graphics quality, sound effects, gameplay mechanics, difficulty level, game modes, features, reviews, ratings, price, and compatibility of the game. You should also try out different games and see which one you enjoy the most.</p>
-<li><b>How to download tank games on Android?</b></li>
-<p>You can download tank games on Android from various sources, such as Google Play Store, third-party websites, or APK files. However, you should be careful and only download from trusted and secure sources. You should also check the permissions and requirements of the game before installing it.</p>
-<li><b>How to play tank games on Android?</b></li>
-<p>You can play tank games on Android by using the touch screen controls or a compatible controller. You should also adjust the settings and options of the game to suit your preference and device. You should also follow the instructions and rules of the game to play it properly.</p>
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spaces/1pelhydcardo/ChatGPT-prompt-generator/assets/Clash of Clans Mod iOS The Ultimate Guide to Download and Install.md

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-<h1>Clash of Clans Mod iOS Download: How to Play with Unlimited Resources and Custom Mods</h1>
- <p>Clash of Clans is one of the most popular mobile games in the world, with millions of players who enjoy building their villages, training their troops, and fighting other players in epic clan wars. But what if you could play the game with unlimited resources and custom mods that give you new buildings, heroes, troops, spells, and more? That's what Clash of Clans mod iOS download offers you. In this article, we will explain what Clash of Clans mod is, what are its features, how to download and install it on your iOS device, and what are the risks and benefits of using it.</p>
- <h2>What is Clash of Clans and why is it so popular?</h2>
- <p>Clash of Clans is a strategy game where you build your village, train your troops, and fight other players. You can join a clan or create your own, and participate in clan wars, clan games, friendly wars, friendly challenges, events, tournaments, leagues, and more. You can also explore different game modes such as single-player campaign, builder base, practice mode, super troop mode, etc. You can collect resources such as gold, elixir, dark elixir, gems, etc. to upgrade your buildings, troops, heroes, spells, etc. You can also customize your village with different skins, sceneries, decorations, etc.</p>
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- <p>Clash of Clans has been constantly evolving since its launch in 2012. It has received countless updates that added new content and features to the game. It has also developed a huge community of players who share their tips, tricks, strategies, guides, videos, memes, fan art, etc. on various platforms such as Reddit, YouTube, Discord, Instagram, Twitter, Facebook, etc. Clash of Clans is a game that appeals to players of all ages and backgrounds. It is a game that combines strategy, creativity, <p>fun, competition, cooperation, and social interaction. It is a game that never gets old or boring.</p>
- <h2>What is Clash of Clans mod and what are its features?</h2>
- <p>Clash of Clans mod is a modified version of the game that gives you unlimited resources and custom mods that enhance your gaming experience. It is not an official version of the game, but a fan-made one that runs on private servers. It is not affiliated with or endorsed by Supercell, the developer of Clash of Clans.</p>
- <p>Clash of Clans mod has many features that make it different from the original game. Some of these features are:</p>
- <h3>Unlimited gold, elixir, gems, and dark elixir</h3>
- <p>With Clash of Clans mod, you don't have to worry about running out of resources. You can have as much gold, elixir, gems, and dark elixir as you want. You can use them to upgrade your buildings, troops, heroes, spells, etc. without any waiting time. You can also buy anything from the shop with gems without spending real money.</p>
- <h3>New buildings, heroes, troops, and spells with special abilities</h3>
- <p>With Clash of Clans mod, you can access new buildings, heroes, troops, and spells that are not available in the original game. These include:</p>
- - <h4>New buildings such as dragon tower, witch tower, archer queen tower, barbarian king tower, etc.</h4>
-- <h4>New heroes such as goblin king, giant king, skeleton king, ice wizard king, etc.</h4>
-- <h4>New troops such as dragon rider, hog rider 2.0, lava hound 2.0, electro dragon 2.0, etc.</h4>
-- <h4>New spells such as freeze spell 2.0, rage spell 2.0, jump spell 2.0, clone spell 2.0, etc.</h4>
- <p>These new buildings, heroes, troops, and spells have special abilities that make them more powerful and fun to use.</p>
- <h3>PvP battles with other modded players</h3>
- <p>With Clash of Clans mod, you can fight other players who are also using the modded version of the game. You can challenge them in friendly battles or attack their villages in multiplayer mode. You can also join or create a clan with other modded players and participate in clan wars and clan games with them.</p>
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- <p>With Clash of Clans mod, you can enjoy clan wars and clan games with other modded clans. You can compete with them for trophies and rewards. You can also complete clan games tasks and earn clan points to unlock clan perks and rewards.</p> <h2>How to download and install Clash of Clans mod on iOS devices?</h2>
- <p>If you want to try out Clash of Clans mod on your iOS device, you need to follow these steps:</p>
- <h3>Download the modded app from a reliable source</h3>
- <p>The first step is to download the modded app from a reliable source. There are many websites that claim to offer Clash of Clans mod iOS download, but not all of them are safe and trustworthy. Some of them may contain viruses, malware, or spyware that can harm your device or steal your personal information. Some of them may also provide fake or outdated versions of the mod that may not work properly or cause errors.</p>
- <p>Therefore, you need to be careful and do some research before downloading any modded app. You can check the reviews, ratings, comments, and feedbacks of other users who have downloaded the app from the same source. You can also look for the official website or social media pages of the mod developers and download the app from there. You can also ask for recommendations from your friends or other modded players who have used the app before.</p>
- <h3>Enable installation from unknown sources in your device settings</h3>
- <p>The next step is to enable installation from unknown sources in your device settings. This is because Clash of Clans mod is not available on the App Store, and you need to install it from a third-party source. To do this, you need to go to your device settings and find the option that allows you to install apps from unknown sources. You may need to enter your passcode or use your Touch ID or Face ID to confirm this action.</p>
- <h3>Install the modded app and launch it</h3>
- <p>The final step is to install the modded app and launch it. You need to locate the downloaded file on your device and tap on it to start the installation process. You may need to agree to some terms and conditions and grant some permissions to the app. Once the installation is complete, you can launch the app and enjoy playing Clash of Clans with unlimited resources and custom mods.</p>
- <h2>What are the risks and benefits of using Clash of Clans mod?</h2>
- <p>Using Clash of Clans mod can be fun and exciting, but it also comes with some risks and benefits that you should be aware of before playing. Here are some of them:</p>
- <h3>The risks include:</h3>
- - <h4>Violating the game's terms of service and fair play policy</h4>
-- <p>By using Clash of Clans mod, you are violating the game's terms of service and fair play policy that prohibit the use of any third-party software, tools, or modifications that alter or affect the game's functionality or performance. This means that you are playing the game in an unfair and unauthorized way that gives you an advantage over other players who are playing legitimately.</p>
-- <h4>Getting banned from the official game servers</h4>
-- <p>By using Clash of Clans mod, you are risking getting banned from the official game servers by Supercell, the developer of Clash of Clans. Supercell has a strict anti-cheating system that detects and bans any players who are using mods, hacks, bots, or any other cheating methods. If you get banned, you will lose access to your account, your village, your progress, your clan, your friends, and everything else related to the game. You will also not be able to create a new account or play the game again on the same device.</p>
-- <h4>Losing your account or personal data to hackers or scammers</h4>
-- <p>By using Clash of Clans mod, you are exposing your account or personal data to hackers or scammers who may try to steal them for malicious purposes. Some modded apps may contain hidden codes or scripts that can access your device's data, such as your contacts, photos, messages, emails, passwords, bank details, etc. Some websites may also ask you to provide your account details, such as your username, password, email address, etc., in order to download or use the mod. These hackers or scammers may use your account or personal data to hack into your other accounts, steal your money, identity, or information, blackmail you, spam you, or harm you in other ways.</p>
- <h3>The benefits include:</h3>
- - <h4>Having more fun and freedom in the game</h4>
-- <p>By using Clash of Clans mod, you can have more fun and freedom in the game. You can play with unlimited resources and custom mods that give you new buildings, heroes, troops, spells, and more. You can experiment with different strategies and combinations that are not possible in the original game. You can also challenge yourself and others with new content and features that <p>enhance your gaming experience. You can also enjoy playing with other modded players who share your passion and interest in the game.</p>
- - <h4>Experimenting with different strategies and combinations</h4>
-- <p>By using Clash of Clans mod, you can experiment with different strategies and combinations that are not possible in the original game. You can try out new buildings, heroes, troops, and spells that have special abilities and effects. You can also mix and match different troops and spells to create unique and powerful attacks. You can also test your skills and knowledge in different game modes and scenarios that challenge your creativity and logic.</p>
-- <h4>Challenging yourself and others with new content and features</h4>
-- <p>By using Clash of Clans mod, you can challenge yourself and others with new content and features that add more excitement and variety to the game. You can fight other modded players in PvP battles or clan wars and see who has the better village, troops, or strategy. You can also participate in clan games or events with other modded clans and compete for trophies and rewards. You can also explore new maps, sceneries, themes, etc. that change the look and feel of the game.</p>
- <h2>Conclusion</h2>
- <p>Clash of Clans mod iOS download is a way to play the game with unlimited resources and custom mods that give you new buildings, heroes, troops, spells, and more. However, it also comes with some risks and benefits that you should consider before playing. If you decide to try it out, make sure you download it from a trusted source and follow the installation guide carefully. Remember that Clash of Clans mod is not an official version of the game, but a fan-made one that runs on private servers. It is not affiliated with or endorsed by Supercell, the developer of Clash of Clans.</p>
- <p>We hope this article has helped you understand what Clash of Clans mod is, what are its features, how to download and install it on your iOS device, and what are the risks and benefits of using it. If you have any questions or feedback, please feel free to leave a comment below. Thank you for reading!</p>
- <h2>FAQs</h2>
- <p>Here are some frequently asked questions about Clash of Clans mod iOS download:</p>
- - <h3>Is Clash of Clans mod iOS download safe?</h3>
-- <p>Clash of Clans mod iOS download is not completely safe, as it involves downloading and installing a modded app from a third-party source that may contain viruses, malware, or spyware that can harm your device or steal your personal information. It also violates the game's terms of service and fair play policy that prohibit the use of any third-party software, tools, or modifications that alter or affect the game's functionality or performance. You may also get banned from the official game servers by Supercell if they detect that you are using a modded app.</p>
-- <h3>Is Clash of Clans mod iOS download free?</h3>
-- <p>Clash of Clans mod iOS download is free, as you don't have to pay anything to download or use the modded app. However, you may have to watch some ads or complete some surveys or offers to access some websites that provide the modded app. You may also have to spend some real money to buy some in-app purchases or subscriptions that some modded apps may offer.</p>
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-<p>Bhuj: The Pride of India is a 2021 Indian Hindi-language war film that has become one of the most talked-about movies of the year. The film is based on the true events of the 1971 Indo-Pak war, when a group of 300 local women helped rebuild a damaged airstrip in Bhuj, Gujarat, under the leadership of Indian Air Force Squadron Leader Vijay Karnik. The film showcases the bravery, patriotism, and sacrifice of these unsung heroes who played a pivotal role in India's victory over Pakistan.</p>
-<p>The film is directed by Abhishek Dudhaiya and stars Ajay Devgn as Vijay Karnik, Sanjay Dutt as Ranchordas Pagi, Sonakshi Sinha as Sunderben Jetha Madharparya, Sharad Kelkar as Ram Karan 'RK' Nair, Nora Fatehi as Heena Rehman, Ammy Virk as Vikram Singh Baj Jethaaz, Pranitha Subhash as Usha Karnik, Mahesh Shetty as Vinod Karnik, Ihana Dhillon as Nimrat Kaur, Pawan Shankar as Mohammad Hussain OMANI, Zahid Ali as Brigadier Mukhtar Baig, and Heroxicated Armaan as Armaan.</p>
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-<p>Bhuj: The Pride of India movie has gained popularity among viewers for various reasons. Some of them are:</p>
-<h3>How does the movie depict the historical events of the 1971 Indo-Pak war?</h3>
-<p>The movie depicts one of the most crucial episodes of the 1971 Indo-Pak war, when Pakistan launched a surprise attack on the Bhuj airbase on 8 December 1971. The airstrip was severely damaged and rendered unusable for Indian fighter planes. Vijay Karnik, who was in charge of the airbase, decided to rebuild the airstrip with the help of 300 local women from Madhapur village, who volunteered to work day and night under his guidance. They used their sarees, carrom boards, metal sheets, and other materials to fill up the craters and level up the runway. They also disguised themselves as villagers to avoid detection by Pakistani spies. They managed to complete the task in just 72 hours and enabled Indian planes to take off and launch counterattacks on Pakistan. This feat was later termed as India's 'Pearl Harbour' moment.</p>
-<h3>What are the positive reviews and ratings of the movie?</h3>
-<p>The movie has received positive reviews and ratings from viewers who have appreciated the performances, action sequences, patriotic theme, and emotional quotient of the film. The film has a rating of 7.1 out of 10 on IMDb, 4.2 out of 5 on Google, and 3.5 out of 5 on Times of India. Some of the positive reviews are: - "Bhuj: The Pride of India is a tribute to the unsung heroes of the 1971 war. The film is well-made, well-acted, and well-directed. It keeps you hooked till the end with its gripping story, thrilling action, and patriotic fervour. Ajay Devgn, Sanjay Dutt, Sonakshi Sinha, and the rest of the cast have done a commendable job in portraying their characters. The film is a must-watch for every Indian who loves their country and respects their soldiers." - Ramesh Sharma, Google user - "Bhuj: The Pride of India is a movie that will make you proud of being an Indian. The movie showcases the bravery, patriotism, and sacrifice of the 300 women who helped rebuild the Bhuj airstrip in just 72 hours. The movie also highlights the role of the Indian Air Force in defending the nation from Pakistan's aggression. The movie has some amazing action scenes, especially the aerial combat scenes, which are very realistic and thrilling. The movie also has some emotional moments, which will touch your heart. Ajay Devgn as Vijay Karnik is outstanding in his performance. He brings out the courage, leadership, and dignity of his character very well. Sanjay Dutt as Ranchordas Pagi is also brilliant in his role as a local spy who helps Vijay Karnik in his mission. Sonakshi Sinha as Sunderben Jetha Madharparya is also impressive in her role as the leader of the women who volunteer to rebuild the airstrip. She shows the strength, determination, and resilience of her character very well. The other actors also do justice to their roles. The direction by Abhishek Dudhaiya is commendable. He has made a movie that is not only entertaining but also inspiring and patriotic. The music by Arko Pravo Mukherjee, Tanishk Bagchi, Lijo George-DJ Chetas, and Gourov Dasgupta is also good and suits the mood of the film. The cinematography by Aseem Bajaj is also excellent and captures the beauty and intensity of the scenes very well. The editing by Dharmendra Sharma is also crisp and smooth. The production design by Narendra Rahurikar is also authentic and realistic. The costumes by Payal Saluja are also appropriate and fitting for the characters and the period. The sound design by Parikshit Lalwani and Kunal Mehta is also superb and enhances the impact of the scenes. The visual effects by Red Chillies VFX are also stunning and believable. The action choreography by Peter Hein is also spectacular and exciting. The film is a visual treat for the eyes and a feast for the soul." - Rajesh Kumar, IMDb user - "Bhuj: The Pride of India is a film that celebrates the spirit of India and its heroes. The film tells the story of how a group of 300 women from Madhapur village helped rebuild a damaged airstrip in Bhuj under the guidance of IAF Squadron Leader Vijay Karnik during the 1971 war with Pakistan. The film is a tribute to their courage, patriotism, and sacrifice that helped India win the war. The film has a stellar cast that delivers powerful performances. Ajay Devgn as Vijay Karnik is superb in his role as the brave and inspiring officer who leads his team and motivates the women to join his mission. He portrays his character with conviction and charisma. Sanjay Dutt as Ranchordas Pagi is excellent in his role as a local spy who assists Vijay Karnik in gathering intelligence and foiling Pakistan's plans. He brings out the humour, loyalty, and heroism of his character very well. Sonakshi Sinha as Sunderben Jetha Madharparya is wonderful in her role as the leader of the women who volunteer to rebuild the airstrip. She displays the courage, determination, and compassion of her character very well. Sharad Kelkar as Ram Karan 'RK' Nair is fantastic in his role as Vijay Karnik's friend and colleague who supports him in his mission. He shows his character's friendship, professionalism, and bravery very well. Nora Fatehi as Heena Rehman is impressive in her role as a Pakistani spy who defects to India after falling in love with RK Nair. She shows her character's conflict, romance, and redemption very well. Ammy Virk as Vikram Singh Baj Jethaaz is splendid in his role as an IAF pilot who flies his plane despite being injured to help Vijay Karnik in his mission. He portrays his character's courage, loyalty, and patriotism very well. Pranitha Subhash as Usha Karnik is lovely in her role as Vijay Karnik's wife who supports him in his mission. 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- <h3>What are the awards and nominations of the movie?</h3>
-<p>The movie has also received recognition and appreciation from various award ceremonies and festivals. The movie has received a nomination for Best Film at the Zee Cine Awards 2022. The movie has also won the Best Action Film award at the Dadasaheb Phalke International Film Festival 2022. The movie has also been selected for screening at the Indian Film Festival of Melbourne 2022. The movie has also been praised by various celebrities and dignitaries, such as Prime Minister Narendra Modi, Defence Minister Rajnath Singh, Air Chief Marshal Rakesh Kumar Singh Bhadauria, and others.</p>
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-<p>Bhuj: The Pride of India is a film that celebrates the spirit of India and its heroes. The film tells the story of how a group of 300 women from Madhapur village helped rebuild a damaged airstrip in Bhuj under the guidance of IAF Squadron Leader Vijay Karnik during the 1971 war with Pakistan. The film is a tribute to their courage, patriotism, and sacrifice that helped India win the war. The film has a stellar cast that delivers powerful performances. The film has also received positive reviews and ratings from viewers and critics. The film has also received recognition and appreciation from various award ceremonies and festivals. The film is a must-watch for every Indian who loves their country and respects their soldiers.</p>
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-<p>Here are some frequently asked questions about Bhuj: The Pride of India movie:</p>
-<h3>What is the budget and box office collection of Bhuj: The Pride of India movie?</h3>
-<p>The budget of Bhuj: The Pride of India movie is estimated to be around ₹100 crore. The box office collection of the movie is not available as it was released on Disney+ Hotstar due to the COVID-19 pandemic. However, according to some reports, the movie has earned around ₹50 crore from its digital rights.</p>
-<h3>Is Bhuj: The Pride of India movie based on a true story?</h3>
-<p>Yes, Bhuj: The Pride of India movie is based on a true story. The movie is based on the true events of the 1971 Indo-Pak war, when a group of 300 local women helped rebuild a damaged airstrip in Bhuj, Gujarat, under the leadership of Indian Air Force Squadron Leader Vijay Karnik. The movie also depicts other real-life characters and incidents that took place during the war.</p>
-<h3>Who are the real-life heroes portrayed in Bhuj: The Pride of India movie?</h3>
-<p>The real-life heroes portrayed in Bhuj: The Pride of India movie are:</p>
-<table>
-<tr><th>Character</th><th>Actor</th><th>Real-life hero</th></tr>
-<tr><td>Vijay Karnik</td><td>Ajay Devgn</td><td>Indian Air Force Squadron Leader who was in charge of the Bhuj airbase during the 1971 war.</td></tr>
-<tr><td>Ranchordas Pagi</td><td>Sanjay Dutt</td><td>A local civilian who worked as a spy for Vijay Karnik and helped him gather intelligence and foil Pakistan's plans.</td></tr>
-<tr><td>Sunderben Jetha Madharparya</td><td>Sonakshi Sinha</td><td>The leader of the 300 women from Madhapur village who volunteered to rebuild the airstrip in Bhuj.</td></tr>
-<tr><td>Ram Karan 'RK' Nair</td><td>Sharad Kelkar</td><td>Indian Air Force Officer who was Vijay Karnik's friend and colleague.</td></tr>
-<tr><td>Heena Rehman</td><td>Nora Fatehi</td><td>A Pakistani spy who defected to India after falling in love with RK Nair.</td></tr>
-<tr><td>Vikram Singh Baj Jethaaz</td><td>Ammy Virk</td><td>Indian Air Force Pilot who flew his plane despite being injured to help Vijay Karnik in his mission.</td></tr>
-<tr><td>Usha Karnik</td><td>Pranitha Subhash</td><td>Vijay Karnik's wife who supported him in his mission.</td></tr>
-<tr><td>Vinod Karnik</td><td>Mahesh Shetty</td><td>Vijay Karnik's brother who also worked in the Indian Air Force.</td></tr>
-<tr><td>Nimrat Kaur</td><td>Ihana Dhillon</td><td>An Indian Air Force Officer who was RK Nair's colleague.</td></tr>
-<tr><td>Mohammad Hussain OMANI</td><td>Pawan Shankar</td><td>A Pakistani Air Force Officer who was Heena Rehman's handler.</td></tr>
-<tr><td>Brigadier Mukhtar Baig</td><td>Zahid Ali</td><td>A Pakistani Army Officer who led the attack on Bhuj airbase.</td></tr>
-<tr><td>Armaan</td><td>Heroxicated Armaan</td><td>A Pakistani spy who infiltrated the Indian Air Force and tried to sabotage Vijay Karnik's mission.</td></tr>
-</table>
- <h3>How accurate is Bhuj: The Pride of India movie in terms of historical facts?</h3>
-<p>Bhuj: The Pride of India movie is based on historical facts, but it also takes some creative liberties and dramatizes some events for cinematic purposes. Some of the factual and fictional aspects of the movie are:</p>
-<table>
-<tr><th>Factual</th><th>Fictional</th></tr>
-<tr><td>The airstrip in Bhuj was damaged by Pakistani bombs and rebuilt by 300 local women in 72 hours under Vijay Karnik's guidance.</td><td>The airstrip was damaged twice and rebuilt twice in the movie, whereas in reality, it was damaged once and rebuilt once.</td></tr>
-<tr><td>Vijay Karnik was assisted by Ranchordas Pagi, a local civilian who worked as a spy for him and helped him gather intelligence and foil Pakistan's plans.</td><td>Ranchordas Pagi was shown as a scrap dealer and a master of disguise in the movie, whereas in reality, he was a shepherd and a farmer.</td></tr>
-<tr><td>Sunderben Jetha Madharparya was the leader of the 300 women who volunteered to rebuild the airstrip. She also convinced other women to join her by appealing to their patriotism and pride.</td><td>Sunderben Jetha Madharparya was shown as a widow who had lost her husband and son in the war in the movie, whereas in reality, she was married and had children.</td></tr>
-<tr><td>Ram Karan 'RK' Nair was Vijay Karnik's friend and colleague who supported him in his mission. He also had a romantic relationship with Heena Rehman, a Pakistani spy who defected to India.</td><td>RK Nair and Heena Rehman were fictional characters created for the movie. There is no evidence of their existence or involvement in the real events.</td></tr>
-<tr><td>Vikram Singh Baj Jethaaz was an IAF pilot who flew his plane despite being injured to help Vijay Karnik in his mission. He also dropped bombs on Pakistan's radar station and fuel depot.</td><td>Vikram Singh Baj Jethaaz was a fictional character created for the movie. There is no evidence of his existence or involvement in the real events.</td></tr>
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- <h3>Where can I watch the trailer of Bhuj: The Pride of India movie?</h3>
-<p>You can watch the trailer of Bhuj: The Pride of India movie on YouTube or on Disney+ Hotstar. Here is the link to the official trailer on YouTube: [Bhuj: The Pride Of India | Official Trailer | Ajay D. Sonakshi S. Sanjay D. Nora F. Sharad K. Ammy V.]</p> 401be4b1e0<br />
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- <p>Another benefit of using APK data OBB files for large games is that you can customize and optimize your game experience by modifying the files. For example, you can change the language, graphics quality, sound effects, and more by editing the data files. You can also unlock premium features, cheats, mods, and hacks by replacing the OBB files with modified ones. However, you should be careful when doing this, as it may cause errors, crashes, or bans.</p>
- <h2>How to download Naruto Ultimate Ninja Storm 3 APK data OBB files?</h2>
-<h3>The requirements and precautions before downloading</h3>
-<p>Before you download Naruto Ultimate Ninja Storm 3 APK data OBB files, you need to make sure that your device meets the minimum requirements for the game. According to the official website, you need to have at least Android 4.4 or higher, 2 GB of RAM, 4 GB of free storage space, and a stable internet connection.</p>
- <p>You also need to take some precautions before downloading Naruto Ultimate Ninja Storm 3 APK data OBB files from third-party sources. First, you need to enable the installation of apps from unknown sources on your device. To do this, go to Settings > Security > Unknown Sources and toggle it on. Second, you need to scan the files for viruses and malware using a reliable antivirus app. Third, you need to check the reviews and ratings of the source website and the files before downloading them.</p>
- <h3>The steps to download and install the files</h3>
-<p>Once you have prepared your device and found a trustworthy source for Naruto Ultimate Ninja Storm 3 APK data OBB files, you can follow these steps to download and install them:</p>
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-<li>Download the Naruto Ultimate Ninja Storm 3 APK file from the source website and save it on your device.</li>
-<li>Download the Naruto Ultimate Ninja Storm 3 data file and OBB file from the source website and save them on your device.</li>
-<li>Extract the Naruto Ultimate Ninja Storm 3 data file using a file extractor app such as ZArchiver or RAR. You will get a folder named <code>com.namcobandaigames.narutounstorm3</code>.</li>
-<li>Copy the folder <code>com.namcobandaigames.narutounstorm3</code> and paste it in the <code>/data/data/</code> folder of your device's internal storage.</li>
-<li>Extract the Naruto Ultimate Ninja Storm 3 OBB file using a file extractor app such as ZArchiver or RAR. You will get a file named <code>main.1.com.namcobandaigames.narutounstorm3.obb</code>.</li>
-<li>Copy the file <code>main.1.com.namcobandaigames.narutounstorm3.obb</code> and paste it in the <code>/Android/obb/com.namcobandaigames.narutounstorm3/</code> folder of your device's external storage. If the folder does not exist, create it manually.</li>
-<li>Tap on the Naruto Ultimate Ninja Storm 3 APK file and follow the instructions to install it on your device.</li>
-<li>Launch the game and enjoy!</li>
-</ol>
- <h2>How to play Naruto Ultimate Ninja Storm 3 on your Android device?</h2 <h3>The tips and tricks to optimize the game performance and settings</h3>
-<p>Now that you have successfully installed Naruto Ultimate Ninja Storm 3 on your Android device, you might want to optimize the game performance and settings to have a smooth and enjoyable gameplay. Here are some tips and tricks that you can try:</p>
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-<li>Adjust the graphics quality and resolution according to your device's specifications. You can do this by going to Options > Display Settings in the game menu. You can choose from Low, Medium, High, or Custom settings. The higher the settings, the more battery and memory the game will consume.</li>
-<li>Turn off the sound effects and music if you don't need them. You can do this by going to Options > Sound Settings in the game menu. You can also adjust the volume levels of the sound effects, music, and voice.</li>
-<li>Close other apps and background processes that are running on your device. This will free up some RAM and CPU resources for the game. You can do this by going to Settings > Apps > Running on your device and tapping on the apps that you want to stop.</li>
-<li>Use a game booster app that can optimize your device's performance and battery life for gaming. Some examples of game booster apps are Game Booster, Game Launcher, Game Mode, and Game Turbo. You can download them from the Google Play Store or other sources.</li>
-<li>Use a controller or a keyboard and mouse to play the game more comfortably and accurately. You can connect a controller or a keyboard and mouse to your device via Bluetooth, USB, or OTG cable. You can also customize the controls and buttons in the game menu.</li>
-</ul>
- <h3>The best features and modes to enjoy in the game</h3>
-<p>Naruto Ultimate Ninja Storm 3 is a game that offers a lot of features and modes for you to enjoy. Here are some of the best ones that you should not miss:</p>
- <ul>
-<li>The Story Mode, where you can relive the epic story of Naruto Shippuden from the Five Kage Summit arc to the end of the Fourth Great Ninja War arc. You can also experience the new chapter featuring Sasuke and Itachi vs Kabuto in the Full Burst version.</li>
-<li>The Free Battle Mode, where you can fight against the computer or another player in various stages and settings. You can also choose from over 80 playable characters, each with their own unique abilities, combos, and ultimate jutsus.</li>
-<li>The Online Mode, where you can challenge other players from around the world in ranked or unranked matches. You can also join or create clans, chat with other players, and view your stats and rankings.</li>
-<li>The Tournament Mode, where you can participate in various tournaments with different rules and prizes. You can also create your own tournaments and invite other players to join.</li>
-<li>The Collection Mode, where you can view your unlocked items, cards, movies, music, and more. You can also customize your character's appearance, items, and skills.</li>
-</ul>
- <h2>Conclusion</h2>
-<h3>A summary of the main points and a call to action</h3>
-<p>Naruto Ultimate Ninja Storm 3 is one of the best Naruto games that you can play on your Android device. It is a fighting game that lets you experience the epic story and battles of the Fourth Great Ninja War. To download Naruto Ultimate Ninja Storm 3 APK data OBB files, you need to follow some simple steps and precautions. You also need to optimize your game performance and settings to have a smooth and enjoyable gameplay. You can also enjoy various features and modes in the game, such as Story Mode, Free Battle Mode, Online Mode, Tournament Mode, and Collection Mode.</p>
- <p>If you are a fan of Naruto anime and manga, you should not miss this opportunity to play Naruto Ultimate Ninja Storm 3 on your Android device. Download Naruto Ultimate Ninja Storm 3 APK data OBB files now and join the ultimate ninja adventure!</p>
- <h2>FAQs</h2>
-<h3>Q1: Is Naruto Ultimate Ninja Storm 3 compatible with all Android devices?</h3>
-<p>A1: No, Naruto Ultimate Ninja Storm 3 is not compatible with all Android devices. It requires at least Android 4.4 or higher, 2 GB of RAM, 4 GB of free storage space, and a stable internet connection. You should also check the compatibility of your device with the source website before downloading the files.</p>
- <h3>Q2: How much storage space do I need to download Naruto Ultimate Ninja Storm 3 APK data OBB files?</h3>
-<p>A2: You need about 4 GB of free storage space to download Naruto Ultimate Ninja Storm 3 APK data OBB files. The APK file is about 30 MB, the data file is about 500 MB, and the OBB file is about 3.5 GB. You should also have some extra space for the game installation and updates.</p>
- <h3>Q3: Is Naruto Ultimate Ninja Storm 3 safe and legal to download?</h3>
-<p>A3: It depends on the source website and the files that you download. Some websites may offer fake, corrupted, or infected files that can harm your device or steal your data. Some websites may also violate the intellectual property rights of the game developers and publishers. You should always download Naruto Ultimate Ninja Storm 3 APK data OBB files from reputable and trusted sources. You should also respect the terms and conditions of the game and the app store.</p>
- <h3>Q4: Can I play Naruto Ultimate Ninja Storm 3 offline or online?</h3>
-<p>A4: You can play Naruto Ultimate Ninja Storm 3 offline or online, depending on the mode that you choose. You can play Story Mode, Free Battle Mode, Tournament Mode, and Collection Mode offline, without an internet connection. You can play Online Mode online, with an internet connection. You should also note that some features and updates may require an internet connection to access.</p>
- <h3>Q5: Where can I find more information and support for Naruto Ultimate Ninja Storm 3?</h3>
-<p>A5: You can find more information and support for Naruto Ultimate Ninja Storm 3 on the official website of the game, the official Facebook page of the game, the official Twitter account of the game, and the official YouTube channel of the game. You can also contact the customer service of the game by sending an email to [email protected] or filling out a form on their website.</p> 197e85843d<br />
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spaces/1phancelerku/anime-remove-background/Download and Play Stick War 3 The Best Strategy Game Ever.md

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-<h1>How to Download Stick War 3: A Complete Guide</h1>
-<p>Stick War 3 is a brand new stickman strategy game that is still under development. It is the sequel to the popular Stick War and Stick War: Legacy games, and it offers a lot of new features and game modes. If you are a fan of stickman games, you might be wondering how to download Stick War 3 and play it on your device. In this article, we will show you how to download Stick War 3 for Android, iOS, and Windows PC devices, as well as some tips and tricks for playing the game.</p>
-<h2>What is Stick War 3?</h2>
-<p>Stick War 3 is a real-time multiplayer strategy game that lets you control any unit at any time. You can team up with your friends in 2v2 matches, or play solo in various single player modes. You can also build your own custom armies and battle decks, using a variety of units, spells, enchantments, and upgrades. You can customize your battlefield with unique skins, statues, voice-lines, and emotes. You can also watch and share live replays of your games, and learn from other players' strategies.</p>
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-<h3>Features of Stick War 3</h3>
-<p>Stick War 3 has many features that make it an exciting and challenging game. Here are some of them:</p>
-<h4>Real-Time Multiplayer Strategy PVP Matches</h4>
-<p>You can play against other players online in real-time strategy matches. You can choose from different game modes, such as Capture the Flag, King of the Hill, or Classic. You can also join or create clans, chat with other players, and compete in leaderboards and tournaments.</p>
-<h4>Single Player Modes</h4>
-<p>You can also play offline in various single player modes. You can enjoy a huge ever expanding campaign mode, where you will follow an epic storyline and face different enemies and challenges. You can also practice your strategies against AI's custom armies in Proving Grounds mode, or challenge yourself in Daily Battles mode, where you will face special scenarios with fixed decks and conditions.</p>
-<h4>Custom Armies and Battle Decks</h4>
-<p>You can build your own custom armies and battle decks using cards that you collect and unlock from a growing selection of army types. You can choose from different units, such as Swordwrath, Spearton, Archidon , Magikill, and more. You can also use different spells, such as Fireball, Heal, Rage, and more. You can also use different enchantments, such as Poison, Freeze, Shield, and more. You can upgrade your cards to make them stronger and more effective.</p>
-<h4>Customize your Battlefield</h4>
-<p>You can also customize your battlefield with unique skins, statues, voice-lines, and emotes. You can choose from different themes, such as Medieval, Fantasy, Sci-Fi, and more. You can also unlock and use different skins for your units, such as Ninja, Pirate, Zombie, and more. You can also use different statues to boost your army's stats, such as Attack, Defense, Speed, and more. You can also use different voice-lines and emotes to communicate and taunt your opponents.</p>
-<h4>Live Replays</h4>
-<p>You can also watch and share live replays of your games. You can see how other players play and learn from their strategies. You can also see the stats and cards of both players during the replay. You can also comment and rate the replays, and follow your favorite players.</p>
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-<h4>Massive Growing Campaign</h4>
-<p>You can also enjoy a massive growing campaign mode that is still under development. You will follow an epic storyline that will take you to different worlds and regions. You will face different enemies and bosses that will challenge your skills and strategies. You will also unlock new cards and rewards as you progress through the campaign.</p>
-<h2>How to Download Stick War 3 for Android Devices</h2>
-<p>If you want to play Stick War 3 on your Android device, you will need to download it from the Google Play Store. Here are the steps to do so:</p>
-<h3>Step 1: Go to Google Play Store</h3>
-<p>Open the Google Play Store app on your Android device. If you don't have it installed, you can download it from here.</p>
-<h3>Step 2: Search for Stick War 3</h3>
-<p>Type "Stick War 3" in the search bar and tap on the magnifying glass icon. You should see the game's icon with the name "Stick War 3: RTS Multiplayer" by Max Games Studios.</p>
-<h3>Step 3: Tap on Install</h3>
-<p>Tap on the green Install button to start downloading the game. You might need to accept some permissions and terms of service before proceeding.</p>
-<h3>Step 4: Wait for the Download to Finish</h3>
-<p>Wait for the download to finish. It might take a few minutes depending on your internet speed and device storage. You can see the progress bar on the screen.</p>
-<h3>Step 5: Enjoy the Game</h3>
-<p>Once the download is complete, you can tap on the Open button to launch the game. You can also find the game's icon on your home screen or app drawer. Enjoy playing Stick War 3 on your Android device!</p>
-<h2>How to Download Stick War 3 for iOS Devices</h2>
-<p>If you want to play Stick War 3 on your iOS device, you will need to download it from the App Store. Here are the steps to do so:</p>
-<h3>Step 1: Go to App Store</h3>
-<p>Open the App Store app on your iOS device. If you don't have it installed, you can download it from here.</p>
-<h3>Step 2: Search for Stick War 3</h3>
-<p>Type "Stick War 3" in the search bar and tap on the blue Search button. You should see the game's icon with the name "Stick War 3: RTS Multiplayer" by Max Games Studios.</p>
-<h3>Step 3: Tap on Get</h3>
-<p>Tap on the blue Get button to start downloading the game. You might need to enter your Apple ID password or use Touch ID or Face ID before proceeding.</p>
-<h3>Step 4: Wait for the Download to Finish</h3>
-<p>Wait for the download to finish. It might take a few minutes depending on your internet speed and device storage. You can see the progress circle on the screen.</p>
-<h3>Step 5: Enjoy the Game</h3>
-<p>Once the download is complete, you can tap on the Open button to launch the game. You can also find the game's icon on your home screen or app library. Enjoy playing Stick War 3 on your iOS device!</p> <h2>How to Download Stick War 3 for Windows PC</h2>
-<p>If you want to play Stick War 3 on your Windows PC, you will need to download an APK file of the game and run it using an emulator tool. Here are the steps to do so:</p>
-<h3>Step 1: Go to APKPure Website</h3>
-<p>Open your web browser and go to the APKPure website. This is a trusted source for downloading APK files of Android apps and games. You can access it from here.</p>
-<h3>Step 2: Search for Stick War 3</h3>
-<p>Type "Stick War 3" in the search bar and press Enter. You should see the game's icon with the name "Stick War 3: RTS Multiplayer" by Max Games Studios.</p>
-<h3>Step 3: Click on Download APK (3.6 MB)</h3>
-<p>Click on the green Download APK (3.6 MB) button to start downloading the APK file of the game. You might need to choose a download location and confirm the download before proceeding.</p>
-<h3>Step 4: Wait for the Download to Finish</h3>
-<p>Wait for the download to finish. It might take a few seconds depending on your internet speed and PC storage. You can see the progress bar on the screen.</p>
-<h3>Step 5: Install the GameLoop Tool and Run the APK File</h3>
-<p>To run the APK file of the game, you will need an emulator tool that can simulate an Android device on your PC. We recommend using the GameLoop tool, which is designed for playing mobile games on PC. You can download it from here.</p>
-<p>Once you have downloaded and installed the GameLoop tool, open it and click on the My Games tab. Then, click on the Local Install button and select the APK file of Stick War 3 that you have downloaded. The game will be installed and added to your game library.</p>
-<p>To play the game, click on its icon and wait for it to load. You can also customize the settings, such as keyboard controls, graphics, sound, and more. Enjoy playing Stick War 3 on your Windows PC!</p>
-<h2>Tips and Tricks for Playing Stick War 3</h2>
-<p>Stick War 3 is a fun and addictive game, but it can also be challenging and competitive. To help you improve your skills and strategies, here are some tips and tricks for playing Stick War 3:</p>
-<h3>Tip 1: Choose Your Deck Wisely</h3>
-<p>Your deck is your main weapon in Stick War 3. It determines what units, spells, and enchantments you can use in battle. Therefore, you should choose your deck wisely based on your play style, strategy, and opponent.</p>
-<p>You can have up to three decks at a time, and you can switch between them before each match. You can also edit your decks by adding or removing cards, or changing their order. You should try to balance your deck with different types of cards, such as melee units, ranged units, support units, offensive spells, defensive spells, and more.</p>
-<p>You should also consider the cost and cooldown of each card, as well as their synergies and counters. For example, if you have a lot of expensive cards, you might run out of mana quickly. If you have a lot of slow cards, you might lose tempo and initiative. If you have a lot of cards that work well together, you might create powerful combos. If you have a lot of cards that counter your opponent's cards, you might gain an advantage.</p>
-<h3>Tip 2: Use Your Spells and Enchantments Strategically</h3>
-<p>Your spells and enchantments are your special abilities in Stick War 3. They can make a big difference in battle if used strategically. Therefore, you should use them wisely based on the situation and timing.</p>
-<p>You should use your spells and enchantments when they can have the most impact or value. For example, you can use a Fireball spell to damage multiple enemies at once or finish off a low-health unit. You can use a Heal spell to restore health to your injured units or prevent them from dying. You can use a Rage spell to boost your attack speed and damage or break through enemy defenses.</p>
-<p>You should also use your spells and enchantments when they can counter or negate your opponent's spells and enchantments. For example, you can use a Freeze spell to stop an enemy unit from attacking or moving or cancel their Rage spell. You can use a Shield spell to protect your units from enemy spells or attacks or block their Fireball spell.</p>
-<h3>Tip 3: Control Your Units Manually When Needed</h3>
-<p>Your units are your main forces in Stick War 3. They will automatically attack and move according to their AI, but you can also control them manually when needed. Therefore, you should control your units manually when you can improve their performance or outcome.</p>
-<p>You can control your units manually by tapping on them and dragging them to a desired location or target. You can also use the buttons on the bottom of the screen to select all units, select a specific type of unit, or deselect all units. You can also use the buttons on the top of the screen to change the formation or behavior of your units.</p>
-<p>You should control your units manually when you can make better decisions or actions than their AI. For example, you can control your units manually to avoid enemy spells or traps, to focus fire on a priority target, to retreat or advance when needed, to flank or surround the enemy, or to use their special abilities at the right time.</p>
-<h3>Tip 4: Watch and Learn from Live Replays and Daily Battles</h3>
-<p>One of the best ways to improve your skills and strategies in Stick War 3 is to watch and learn from live replays and daily battles. These are videos of real matches that you can watch and analyze. Therefore, you should watch and learn from live replays and daily battles whenever you can.</p>
-<p>You can watch live replays and daily battles by tapping on the TV icon on the main menu. You can choose from different categories, such as Top Players, Featured Matches, Clans, Friends, or Your Replays. You can also filter by game mode, army type, or rating.</p>
-<p>You should watch live replays and daily battles to learn from other players' strategies and mistakes. You can see how they build their decks, how they use their spells and enchantments, how they control their units, how they react to different situations, and more. You can also see the stats and cards of both players during the replay. You can also comment and rate the replays, and follow your favorite players.</p>
-<h2>Conclusion and FAQs</h2>
-<p>Stick War 3 is a fun and addictive stickman strategy game that is still under development. It offers a lot of new features and game modes that will keep you entertained and challenged. You can download Stick War 3 for Android, iOS, and Windows PC devices using the steps we have shown you in this article. You can also improve your skills and strategies using the tips and tricks we have shared with you in this article.</p>
-<p>We hope you have enjoyed this article and learned something new. If you have any questions or feedback, please feel free to leave a comment below. Here are some FAQs that might help you:</p>
-<h4>FAQ 1: When will Stick War 3 be officially released?</h4>
-<p>Stick War 3 is still under development and there is no official release date yet. However, you can join the beta testing program by following the instructions on the game's official website or social media pages. You can also subscribe to their newsletter or follow their blog for updates and news.</p>
-<h4>FAQ 2: How can I get more cards and gems in Stick War 3?</h4>
-<p>You can get more cards and gems in Stick War 3 by playing matches, completing quests, opening chests, watching ads, or buying them with real money. You can also join clans and participate in clan wars to get more rewards.</p>
-<h4>FAQ 3: How can I report bugs or glitches in Stick War 3?</h4>
-<p>You can report bugs or glitches in Stick War 3 by tapping on the Settings icon on the main menu and then tapping on the Feedback button. You can also send an email to [email protected] or contact them through their official website or social media pages.</p>
-<h4>FAQ 4: How can I play Stick War 3 with my friends?</h4>
-<p>You can play Stick War 3 with your friends by tapping on the Friends icon on the main menu and then tapping on the Invite button. You can also join or create clans and chat with your clan members.</p>
-<h4>FAQ 5: How can I change my name or avatar in Stick War 3?</h4>
-<p>You can change your name or avatar in Stick War 3 by tapping on the Profile icon on the main menu and then tapping on the Edit button. You can also unlock new avatars by playing matches or opening chests.</p> 401be4b1e0<br />
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spaces/1phancelerku/anime-remove-background/Enjoy Fruits Coloring Pages with Your Friends and Family.md

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-<h1>Fruits Coloring Pages: A Fun Way to Learn About Fruits</h1>
-<p>Fruits are delicious, nutritious, and colorful. They are also fun to color! Fruits coloring pages are a great way to introduce your kids to different kinds of fruits and their benefits. They can also help your kids develop their fine motor skills, creativity, and knowledge. In this article, we will tell you why fruits coloring pages are good for kids, how to use them, and some examples of fruits coloring pages that you can find online or print out.</p>
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-* figs coloring pages ancient<br />
-* apricot coloring pages juicy<br />
-* plum coloring pages purple<br />
-* nectarine coloring pages orange<br />
-* persimmon coloring pages autumn<br />
-* pomelo coloring pages citrus<br />
-* grapefruit coloring pages sour<br />
-* lime coloring pages green<br />
-* melon coloring pages cool<br />
-* honeydew coloring pages refreshing<br />
-* cantaloupe coloring pages tasty<br />
-* papaya coloring pages tropical<br />
-* passion fruit coloring pages colorful<br />
-* guava coloring pages pink<br />
-* lychee coloring pages asian<br />
-* rambutan coloring pages hairy<br />
-* durian coloring pages spiky<br />
-* jackfruit coloring pages big<br />
-* breadfruit coloring pages starchy<br />
-* quince coloring pages yellow<br />
-* kumquat coloring pages small<br />
-* elderberry coloring pages medicinal<br />
-* gooseberry coloring pages sour<br />
-* huckleberry coloring pages wild<br />
-* date palm fruit coloring pages middle eastern <br />
-* olive fruit coloring pages mediterranean <br />
-* cactus fruit coloring pages desert <br />
-* tomato fruit coloring page vegetable</p>
-<h3>Gather some coloring tools like crayons, markers, pencils, or paints</h3>
-<p>You can use any coloring tools that you have at home or buy some new ones. You can use crayons, markers, pencils, or paints to color the fruits. You can also use stickers, glitter, sequins, or other embellishments to decorate the fruits. You can let your kids choose their favorite colors and tools or suggest some ideas for them.</p>
-<h3>Let your kids color the fruits as they like or follow some instructions</h3>
-<p>You can let your kids color the fruits as they like or follow some instructions. You can let them use their imagination and creativity to color the fruits however they want. You can also give them some guidance or tips on how to color the fruits realistically or artistically. You can also show them some examples of colored fruits or pictures of real fruits for reference.</p>
-<h3>Display or share their artworks with others</h3> <p>After your kids finish coloring the fruits, you can display or share their artworks with others. You can hang them on the wall, fridge, or bulletin board. You can also frame them, laminate them, or make them into cards or bookmarks. You can also take photos of them and share them with your family, friends, or online. You can also use them as teaching materials or conversation starters. You can praise your kids for their efforts and skills and ask them questions about the fruits they colored.</p>
- <h2>Some Examples of Fruits Coloring Pages</h2>
-<p>Here are some examples of fruits coloring pages that you can find online or print out. You can click on the links to see the images or download them.</p>
-<h3>Apple coloring page</h3>
-<p>An apple is a round, red, green, or yellow fruit that grows on a tree. It is crunchy, juicy, and sweet. It is rich in vitamin C, fiber, and antioxidants. It is good for your teeth, skin, and immune system. It is also one of the most popular fruits in the world. You can eat it raw, cooked, or dried. You can also make it into juice, cider, sauce, pie, or salad.</p>
-<p>You can find an apple coloring page here: [text]</p>
-<h3>Banana coloring page</h3>
-<p>A banana is a long, curved, yellow fruit that grows on a plant. It is soft, creamy, and sweet. It is rich in potassium, fiber, and vitamin B6. It is good for your muscles, nerves, and digestion. It is also one of the most versatile fruits in the world. You can eat it raw, cooked, or frozen. You can also make it into smoothies, muffins, breads, or pancakes.</p>
-<p>You can find a banana coloring page here: [text]</p>
-<h3>Pineapple coloring page</h3>
-<p>A pineapple is a spiky, oval, yellow fruit that grows on a plant. It is tangy, juicy, and refreshing. It is rich in vitamin C, manganese, and bromelain. It is good for your bones, skin, and inflammation. It is also one of the most exotic fruits in the world. You can eat it raw, cooked, or canned. You can also make it into juice, jam, salsa, or pizza.</p>
-<p>You can find a pineapple coloring page here: [text]</p>
-<h3>Strawberry coloring page</h3>
-<p>A strawberry is a small, heart-shaped, red fruit that grows on a plant. It is sweet, juicy, and fragrant. It is rich in vitamin C, folic acid, and antioxidants. It is good for your blood vessels, eyesight, and immunity. It is also one of the most beloved fruits in the world. You can eat it raw, cooked, or dried. You can also make it into jam, cake, ice cream, or salad.</p>
-<p>You can find a strawberry coloring page here: [text]</p>
-<h3>Watermelon coloring page</h3>
-<p>A watermelon is a large, round, green fruit that grows on a vine. It is crisp, juicy, and refreshing. It is rich in water, lycopene, and vitamin A. It is good for your hydration, skin, and vision. It is also one of the most fun fruits in the world. You can eat it raw, sliced, or cubed. You can also make it into juice, salad, or popsicles.</p>
- <p>You can find a watermelon coloring page here: [text]</p>
- <h2>Conclusion</h2>
-<p>Fruits coloring pages are a fun way to learn about fruits and their benefits. They are also good for developing fine motor skills, creativity, and knowledge. You can use fruits coloring pages by choosing from a variety of online or printable options, gathering some coloring tools, letting your kids color the fruits as they like or following some instructions, and displaying or sharing their artworks with others. You can also find some examples of fruits coloring pages online or print them out. We hope you enjoy fruits coloring pages with your kids and have a fruitful time!</p>
- <h2>FAQs</h2>
-<h4>What are some other fruits that have coloring pages?</h4>
-<p>Some other fruits that have coloring pages are oranges, grapes, pears, cherries, kiwis, mangoes, and coconuts. You can search for them online or print them out.</p>
-<h4>How can I make my own fruits coloring pages?</h4>
-<p>You can make your own fruits coloring pages by drawing some fruits on a paper or using a computer program. You can also use some templates or stencils to create some fruits shapes. You can also add some details or backgrounds to make them more interesting.</p>
-<h4>How can I make fruits coloring pages more fun and challenging?</h4>
-<p>You can make fruits coloring pages more fun and challenging by adding some games or activities to them. For example, you can ask your kids to name the fruits, count the fruits, sort the fruits by color or size, match the fruits with their benefits, or find the hidden fruits in the picture. You can also give them some clues or hints to help them.</p>
-<h4>How can I use fruits coloring pages to teach my kids about healthy eating?</h4>
-<p>You can use fruits coloring pages to teach your kids about healthy eating by explaining to them why fruits are good for them and how they can include more fruits in their diet. You can also encourage them to try new fruits or eat more fruits by giving them some rewards or incentives. You can also make some healthy snacks or desserts with fruits and let your kids help you prepare them.</p>
-<h4>Where can I find more resources or information about fruits and their benefits?</h4>
-<p>You can find more resources or information about fruits and their benefits by visiting some websites, blogs, books, magazines, or videos that are related to fruits and nutrition. You can also ask your doctor, nutritionist, teacher, or librarian for some recommendations or advice.</p> 197e85843d<br />
-<br />
-<br />

spaces/4Taps/SadTalker/src/face3d/data/image_folder.py

@@ -1,66 +0,0 @@
-"""A modified image folder class
-
-We modify the official PyTorch image folder (https://github.com/pytorch/vision/blob/master/torchvision/datasets/folder.py)
-so that this class can load images from both current directory and its subdirectories.
-"""
-import numpy as np
-import torch.utils.data as data
-
-from PIL import Image
-import os
-import os.path
-
-IMG_EXTENSIONS = [
-    '.jpg', '.JPG', '.jpeg', '.JPEG',
-    '.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP',
-    '.tif', '.TIF', '.tiff', '.TIFF',
-]
-
-
-def is_image_file(filename):
-    return any(filename.endswith(extension) for extension in IMG_EXTENSIONS)
-
-
-def make_dataset(dir, max_dataset_size=float("inf")):
-    images = []
-    assert os.path.isdir(dir) or os.path.islink(dir), '%s is not a valid directory' % dir
-
-    for root, _, fnames in sorted(os.walk(dir, followlinks=True)):
-        for fname in fnames:
-            if is_image_file(fname):
-                path = os.path.join(root, fname)
-                images.append(path)
-    return images[:min(max_dataset_size, len(images))]
-
-
-def default_loader(path):
-    return Image.open(path).convert('RGB')
-
-
-class ImageFolder(data.Dataset):
-
-    def __init__(self, root, transform=None, return_paths=False,
-                 loader=default_loader):
-        imgs = make_dataset(root)
-        if len(imgs) == 0:
-            raise(RuntimeError("Found 0 images in: " + root + "\n"
-                               "Supported image extensions are: " + ",".join(IMG_EXTENSIONS)))
-
-        self.root = root
-        self.imgs = imgs
-        self.transform = transform
-        self.return_paths = return_paths
-        self.loader = loader
-
-    def __getitem__(self, index):
-        path = self.imgs[index]
-        img = self.loader(path)
-        if self.transform is not None:
-            img = self.transform(img)
-        if self.return_paths:
-            return img, path
-        else:
-            return img
-
-    def __len__(self):
-        return len(self.imgs)

spaces/AI-ZeroToHero-031523/README/README.md

@@ -1,179 +0,0 @@
----
-title: README.md
-sdk: static
-emoji: 🏃
-colorFrom: blue
-colorTo: yellow
----
-
-# Classroom Examples for Today:
-
-# HF Features to Check Out First - Boost your Speed:
-1. HF_TOKEN create - Why?  Hit quota on free usage and see errors - Solve w this.  Also this lets spaces read/write as you.
-2. Model Easy Button with Gradio
-  1. https://huggingface.co/spaces/awacke1/Model-Easy-Button1-ZeroShotImageClassifier-Openai-clip-vit-large-patch14
-  2. https://huggingface.co/spaces/awacke1/Easy-Button-Zero-Shot-Text-Classifier-facebook-bart-large-mnli
-  3. https://huggingface.co/spaces/awacke1/Model-Easy-Button-Generative-Images-runwayml-stable-diffusion-v1-5
-  4. https://huggingface.co/spaces/awacke1/Model-Easy-Button-Generative-Text-bigscience-bloom
-  5. Check out API Link at Bottom - Gradio auto generates API for you along with usage.
-3. Spaces Embed Button
-   1. Bring all four together now into a dashboard!  
-4. Space Duplicate Button
-
-# Examples 03_16_2023:
-1. HTML5 - Build AI Dashboards with HTML5 Spaces. Spaces Context Menu.  Mediapipe.  https://huggingface.co/spaces/awacke1/AI.Dashboard.HEDIS.Terminology.Vocabulary.Codes
-2. ChatGPT - Demonstrate three modes including GPT-4 which started this week. https://chat.openai.com/chat
-3. Wikipedia Crowdsource Human Feedback (HF) and Headless URL: https://awacke1-streamlitwikipediachat.hf.space  https://huggingface.co/spaces/awacke1/StreamlitWikipediaChat
-4. Cognitive Memory - AI Human Feedback (HF), Wikichat, Tweet Sentiment Dash: https://huggingface.co/spaces/awacke1/AI.Dashboard.Wiki.Chat.Cognitive.HTML5
-5. Twitter Sentiment Graph Example:  https://awacke1-twitter-sentiment-live-realtime.hf.space/  Modify to split URL w ChatGPT?
-6. ASR Comparitive Review:
-   1. Multilingual Models: jonatasgrosman/wav2vec2-large-xlsr-53-english   Space: https://huggingface.co/spaces/awacke1/ASR-High-Accuracy-Test
-   2. Speech to Text and Back to Speech in Voice Models: https://huggingface.co/spaces/awacke1/TTS-STT-Blocks  Model: https://huggingface.co/facebook/wav2vec2-base-960h 
-   3. Gradio Live Mode: https://huggingface.co/spaces/awacke1/2-LiveASR  Models: facebook/blenderbot-400M-distill   nvidia/stt_en_conformer_transducer_xlarge
-7. Bloom Example:
-   1. Step By Step w Bloom: https://huggingface.co/spaces/EuroPython2022/Step-By-Step-With-Bloom
-8. ChatGPT with Key Example: https://huggingface.co/spaces/awacke1/chatgpt-demo
-   1. Get or revoke your keys here:  https://platform.openai.com/account/api-keys
-   2. Example fake:  tsk-H2W4lEeT4Aonxe2tQnUzT3BlbkFJq1cMwMANfYc0ftXwrJSo12345t
-
-# Components for Dash - Demo button to Embed Space to get IFRAME code:
-https://huggingface.co/spaces/awacke1/Health.Assessments.Summarizer
-HEDIS Dash:
-1. HEDIS Related Dashboard with CT: https://huggingface.co/spaces/awacke1/AI.Dashboard.HEDIS
-
-# 👋 Two easy ways to turbo boost your AI learning journey! 💻
-# 🌐 AI Pair Programming 
-## Open 2 Browsers to:
-1. __🌐 ChatGPT__ [URL](https://chat.openai.com/chat) or [URL2](https://platform.openai.com/playground) and 
-2. __🌐 Huggingface__ [URL](https://huggingface.co/awacke1)  in separate browser windows.
-
-# 🎥 YouTube University Method:
-
-## 🎥 2023 AI/ML Advanced Learning Playlists:
-1. [2023 Streamlit Pro Tips for AI UI UX for Data Science, Engineering, and Mathematics](https://www.youtube.com/playlist?list=PLHgX2IExbFou3cP19hHO9Xb-cN8uwr5RM)
-2. [2023 Fun, New and Interesting AI, Videos, and AI/ML Techniques](https://www.youtube.com/playlist?list=PLHgX2IExbFotoMt32SrT3Xynt5BXTGnEP)
-3. [2023 Best Minds in AGI AI Gamification and Large Language Models](https://www.youtube.com/playlist?list=PLHgX2IExbFotmFeBTpyje1uI22n0GAkXT)
-4. [2023 State of the Art for Vision Image Classification, Text Classification and Regression, Extractive Question Answering and Tabular Classification](https://www.youtube.com/playlist?list=PLHgX2IExbFotPcPu6pauNHOoZTTbnAQ2F)
-5. [2023 QA Models and Long Form Question Answering NLP](https://www.youtube.com/playlist?list=PLHgX2IExbFovrkkx8HMTLNgYdjCMNYmX_)
-
-# Cloud Patterns - Dataset Architecture Patterns for Cloud Optimal Datasets:
-1. Azure Blob/DataLake	adlfs: https://huggingface.co/docs/datasets/filesystems
-2. AWS: Amazon S3	s3fs: https://s3fs.readthedocs.io/en/latest/
-3. Google Cloud Storage	gcsfs: https://gcsfs.readthedocs.io/en/latest/
-4. Google Drive: Google Drive	gdrivefs: https://github.com/intake/gdrivefs
-
-Apache BEAM: https://huggingface.co/docs/datasets/beam
-Datasets: https://huggingface.co/docs/datasets/index
-
-# Datasets Spaces - High Performance Cloud Dataset Patterns
-1. Health Care AI Datasets: https://huggingface.co/spaces/awacke1/Health-Care-AI-and-Datasets
-2. Dataset Analyzer: https://huggingface.co/spaces/awacke1/DatasetAnalyzer
-3. Shared Memory with Github LFS: https://huggingface.co/spaces/awacke1/Memory-Shared
-4. CSV Dataset Analyzer: https://huggingface.co/spaces/awacke1/CSVDatasetAnalyzer
-5. Pandas Profiler Report for EDA Datasets: https://huggingface.co/spaces/awacke1/WikipediaProfilerTestforDatasets
-6. Datasets High Performance IMDB Patterns for AI:  https://huggingface.co/spaces/awacke1/SaveAndReloadDataset
-
-# ChatGPT Prompts Datasets
-1. https://huggingface.co/datasets/fka/awesome-chatgpt-prompts
-2. https://github.com/f/awesome-chatgpt-prompts
-3. Example with role based behavior:  I want you to act as a stand-up comedian. I will provide you with some topics related to current events and you will use your wit, creativity, and observational skills to create a routine based on those topics. You should also be sure to incorporate personal anecdotes or experiences into the routine in order to make it more relatable and engaging for the audience. My first request is "I want a humorous story and jokes to talk about the funny things about AI development and executive presentation videos"
-
-# Language Models 🗣️
-🏆 Bloom sets new record for most performant and efficient AI model in science! 🌸
-
-### Comparison of Large Language Models
-| Model Name        | Model Size (in Parameters) |
-| ----------------- | -------------------------- |
-| BigScience-tr11-176B | 176 billion |
-| GPT-3             | 175 billion               |
-| OpenAI's DALL-E 2.0 | 500 million               |
-| NVIDIA's Megatron | 8.3 billion               |
-| Transformer-XL    | 250 million               |
-| XLNet             | 210 million               |
-
-## ChatGPT Datasets 📚
-- WebText
-- Common Crawl
-- BooksCorpus
-- English Wikipedia
-- Toronto Books Corpus
-- OpenWebText
-- 
-## ChatGPT Datasets - Details 📚
-- **WebText:** A dataset of web pages crawled from domains on the Alexa top 5,000 list. This dataset was used to pretrain GPT-2.
-  - [WebText: A Large-Scale Unsupervised Text Corpus by Radford et al.](https://paperswithcode.com/dataset/webtext)
-- **Common Crawl:** A dataset of web pages from a variety of domains, which is updated regularly. This dataset was used to pretrain GPT-3.
-  - [Language Models are Few-Shot Learners](https://paperswithcode.com/dataset/common-crawl) by Brown et al.
-- **BooksCorpus:** A dataset of over 11,000 books from a variety of genres.
-  - [Scalable Methods for 8 Billion Token Language Modeling](https://paperswithcode.com/dataset/bookcorpus) by Zhu et al.
-- **English Wikipedia:** A dump of the English-language Wikipedia as of 2018, with articles from 2001-2017.
-  - [Improving Language Understanding by Generative Pre-Training](https://huggingface.co/spaces/awacke1/WikipediaUltimateAISearch?logs=build) Space for Wikipedia Search
-- **Toronto Books Corpus:** A dataset of over 7,000 books from a variety of genres, collected by the University of Toronto.
-  - [Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond](https://paperswithcode.com/dataset/bookcorpus) by Schwenk and Douze.
-- **OpenWebText:** A dataset of web pages that were filtered to remove content that was likely to be low-quality or spammy. This dataset was used to pretrain GPT-3.
-  - [Language Models are Few-Shot Learners](https://paperswithcode.com/dataset/openwebtext) by Brown et al.
-    
-## Big Science Model 🚀
-- 📜 Papers:
-  1. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model [Paper](https://arxiv.org/abs/2211.05100)
-  2. Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism [Paper](https://arxiv.org/abs/1909.08053)
-  3. 8-bit Optimizers via Block-wise Quantization [Paper](https://arxiv.org/abs/2110.02861)
-  4. Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation [Paper](https://arxiv.org/abs/2108.12409)
-  5. [Other papers related to Big Science](https://huggingface.co/models?other=doi:10.57967/hf/0003)
-  6. [217 other models optimized for use with Bloom](https://huggingface.co/models?other=bloom)
- 
-- 📚 Datasets:
-  
-**Datasets:**
-1. - **Universal Dependencies:** A collection of annotated corpora for natural language processing in a range of languages, with a focus on dependency parsing.
-  - [Universal Dependencies official website.](https://universaldependencies.org/)
-2. - **WMT 2014:** The fourth edition of the Workshop on Statistical Machine Translation, featuring shared tasks on translating between English and various other languages.
-  - [WMT14 website.](http://www.statmt.org/wmt14/)
-3. - **The Pile:** An English language corpus of diverse text, sourced from various places on the internet.
-  - [The Pile official website.](https://pile.eleuther.ai/)
-4. - **HumanEval:** A dataset of English sentences, annotated with human judgments on a range of linguistic qualities.
-  - [HumanEval: An Evaluation Benchmark for Language Understanding](https://github.com/google-research-datasets/humaneval) by Gabriel Ilharco, Daniel Loureiro, Pedro Rodriguez, and Afonso Mendes.
-5. - **FLORES-101:** A dataset of parallel sentences in 101 languages, designed for multilingual machine translation.
-  - [FLORES-101: A Massively Multilingual Parallel Corpus for Language Understanding](https://flores101.opennmt.net/) by Aman Madaan, Shruti Rijhwani, Raghav Gupta, and Mitesh M. Khapra.
-6. - **CrowS-Pairs:** A dataset of sentence pairs, designed for evaluating the plausibility of generated text.
-  - [CrowS-Pairs: A Challenge Dataset for Plausible Plausibility Judgments](https://github.com/stanford-cogsci/crows-pairs) by Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, Pascale Fung, and Caiming Xiong.
-7. - **WikiLingua:** A dataset of parallel sentences in 75 languages, sourced from Wikipedia.
-  - [WikiLingua: A New Benchmark Dataset for Cross-Lingual Wikification](https://arxiv.org/abs/2105.08031) by Jiarui Yao, Yanqiao Zhu, Ruihan Bao, Guosheng Lin, Lidong Bing, and Bei Shi.
-8. - **MTEB:** A dataset of English sentences, annotated with their entailment relationships with respect to other sentences.
-  - [Multi-Task Evaluation Benchmark for Natural Language Inference](https://github.com/google-research-datasets/mteb) by Michał Lukasik, Marcin Junczys-Dowmunt, and Houda Bouamor.
-9. - **xP3:** A dataset of English sentences, annotated with their paraphrase relationships with respect to other sentences.
-  - [xP3: A Large-Scale Evaluation Benchmark for Paraphrase Identification in Context](https://github.com/nyu-dl/xp3) by Aniket Didolkar, James Mayfield, Markus Saers, and Jason Baldridge.
-10. - **DiaBLa:** A dataset of English dialogue, annotated with dialogue acts.
-  - [A Large-Scale Corpus for Conversation Disentanglement](https://github.com/HLTCHKUST/DiaBLA) by Samuel Broscheit, António Branco, and André F. T. Martins.
-    
-- 📚 Dataset Papers with Code
-  1. [Universal Dependencies](https://paperswithcode.com/dataset/universal-dependencies)
-  2. [WMT 2014](https://paperswithcode.com/dataset/wmt-2014)
-  3. [The Pile](https://paperswithcode.com/dataset/the-pile)
-  4. [HumanEval](https://paperswithcode.com/dataset/humaneval)
-  5. [FLORES-101](https://paperswithcode.com/dataset/flores-101)
-  6. [CrowS-Pairs](https://paperswithcode.com/dataset/crows-pairs)
-  7. [WikiLingua](https://paperswithcode.com/dataset/wikilingua)
-  8. [MTEB](https://paperswithcode.com/dataset/mteb)
-  9. [xP3](https://paperswithcode.com/dataset/xp3)
-  10. [DiaBLa](https://paperswithcode.com/dataset/diabla)
-      
-# Deep RL ML Strategy 🧠
-The AI strategies are:
-- Language Model Preparation using Human Augmented with Supervised Fine Tuning 🤖
-- Reward Model Training with Prompts Dataset Multi-Model Generate Data to Rank 🎁
-- Fine Tuning with Reinforcement Reward and Distance Distribution Regret Score 🎯
-- Proximal Policy Optimization Fine Tuning 🤝
-- Variations - Preference Model Pretraining 🤔
-- Use Ranking Datasets Sentiment - Thumbs Up/Down, Distribution 📊
-- Online Version Getting Feedback 💬
-- OpenAI - InstructGPT - Humans generate LM Training Text 🔍
-- DeepMind - Advantage Actor Critic Sparrow, GopherCite 🦜
-- Reward Model Human Prefence Feedback 🏆
-
-  
-For more information on specific techniques and implementations, check out the following resources:
-- OpenAI's paper on [GPT-3](https://arxiv.org/abs/2005.14165) which details their Language Model Preparation approach
-- DeepMind's paper on [SAC](https://arxiv.org/abs/1801.01290) which describes the Advantage Actor Critic algorithm
-- OpenAI's paper on [Reward Learning](https://arxiv.org/abs/1810.06580) which explains their approach to training Reward Models
-- OpenAI's blog post on [GPT-3's fine-tuning process](https://openai.com/blog/fine-tuning-gpt-3/)

spaces/AIGC-Audio/AudioGPT/NeuralSeq/tasks/vocoder/dataset_utils.py

@@ -1,204 +0,0 @@
-import glob
-import importlib
-import os
-from resemblyzer import VoiceEncoder
-import numpy as np
-import torch
-import torch.distributed as dist
-from torch.utils.data import DistributedSampler
-import utils
-from tasks.base_task import BaseDataset
-from utils.hparams import hparams
-from utils.indexed_datasets import IndexedDataset
-from tqdm import tqdm
-
-class EndlessDistributedSampler(DistributedSampler):
-    def __init__(self, dataset, num_replicas=None, rank=None, shuffle=True):
-        if num_replicas is None:
-            if not dist.is_available():
-                raise RuntimeError("Requires distributed package to be available")
-            num_replicas = dist.get_world_size()
-        if rank is None:
-            if not dist.is_available():
-                raise RuntimeError("Requires distributed package to be available")
-            rank = dist.get_rank()
-        self.dataset = dataset
-        self.num_replicas = num_replicas
-        self.rank = rank
-        self.epoch = 0
-        self.shuffle = shuffle
-
-        g = torch.Generator()
-        g.manual_seed(self.epoch)
-        if self.shuffle:
-            indices = [i for _ in range(1000) for i in torch.randperm(
-                len(self.dataset), generator=g).tolist()]
-        else:
-            indices = [i for _ in range(1000) for i in list(range(len(self.dataset)))]
-        indices = indices[:len(indices) // self.num_replicas * self.num_replicas]
-        indices = indices[self.rank::self.num_replicas]
-        self.indices = indices
-
-    def __iter__(self):
-        return iter(self.indices)
-
-    def __len__(self):
-        return len(self.indices)
-
-
-class VocoderDataset(BaseDataset):
-    def __init__(self, prefix, shuffle=False):
-        super().__init__(shuffle)
-        self.hparams = hparams
-        self.prefix = prefix
-        self.data_dir = hparams['binary_data_dir']
-        self.is_infer = prefix == 'test'
-        self.batch_max_frames = 0 if self.is_infer else hparams['max_samples'] // hparams['hop_size']
-        self.aux_context_window = hparams['aux_context_window']
-        self.hop_size = hparams['hop_size']
-        if self.is_infer and hparams['test_input_dir'] != '':
-            self.indexed_ds, self.sizes = self.load_test_inputs(hparams['test_input_dir'])
-            self.avail_idxs = [i for i, _ in enumerate(self.sizes)]
-        elif self.is_infer and hparams['test_mel_dir'] != '':
-            self.indexed_ds, self.sizes = self.load_mel_inputs(hparams['test_mel_dir'])
-            self.avail_idxs = [i for i, _ in enumerate(self.sizes)]
-        else:
-            self.indexed_ds = None
-            self.sizes = np.load(f'{self.data_dir}/{self.prefix}_lengths.npy')
-            self.avail_idxs = [idx for idx, s in enumerate(self.sizes) if
-                               s - 2 * self.aux_context_window > self.batch_max_frames]
-            print(f"| {len(self.sizes) - len(self.avail_idxs)} short items are skipped in {prefix} set.")
-            self.sizes = [s for idx, s in enumerate(self.sizes) if
-                          s - 2 * self.aux_context_window > self.batch_max_frames]
-
-    def _get_item(self, index):
-        if self.indexed_ds is None:
-            self.indexed_ds = IndexedDataset(f'{self.data_dir}/{self.prefix}')
-        item = self.indexed_ds[index]
-        return item
-
-    def __getitem__(self, index):
-        index = self.avail_idxs[index]
-        item = self._get_item(index)
-        sample = {
-            "id": index,
-            "item_name": item['item_name'],
-            "mel": torch.FloatTensor(item['mel']),
-            "wav": torch.FloatTensor(item['wav'].astype(np.float32)),
-        }
-        if 'pitch' in item:
-            sample['pitch'] = torch.LongTensor(item['pitch'])
-            sample['f0'] = torch.FloatTensor(item['f0'])
-
-        if hparams.get('use_spk_embed', False):
-            sample["spk_embed"] = torch.Tensor(item['spk_embed'])
-        if hparams.get('use_emo_embed', False):
-            sample["emo_embed"] = torch.Tensor(item['emo_embed'])
-
-        return sample
-
-    def collater(self, batch):
-        if len(batch) == 0:
-            return {}
-
-        y_batch, c_batch, p_batch, f0_batch = [], [], [], []
-        item_name = []
-        have_pitch = 'pitch' in batch[0]
-        for idx in range(len(batch)):
-            item_name.append(batch[idx]['item_name'])
-            x, c = batch[idx]['wav'] if self.hparams['use_wav'] else None, batch[idx]['mel'].squeeze(0)
-            if have_pitch:
-                p = batch[idx]['pitch']
-                f0 = batch[idx]['f0']
-            if self.hparams['use_wav']:self._assert_ready_for_upsampling(x, c, self.hop_size, 0) 
-            if len(c) - 2 * self.aux_context_window > self.batch_max_frames:
-                # randomly pickup with the batch_max_steps length of the part
-                batch_max_frames = self.batch_max_frames if self.batch_max_frames != 0 else len(
-                    c) - 2 * self.aux_context_window - 1
-                batch_max_steps = batch_max_frames * self.hop_size
-                interval_start = self.aux_context_window
-                interval_end = len(c) - batch_max_frames - self.aux_context_window
-                start_frame = np.random.randint(interval_start, interval_end)
-                start_step = start_frame * self.hop_size
-                if self.hparams['use_wav']:y = x[start_step: start_step + batch_max_steps]
-                c = c[start_frame - self.aux_context_window:
-                      start_frame + self.aux_context_window + batch_max_frames]
-                if have_pitch:
-                    p = p[start_frame - self.aux_context_window:
-                          start_frame + self.aux_context_window + batch_max_frames]
-                    f0 = f0[start_frame - self.aux_context_window:
-                            start_frame + self.aux_context_window + batch_max_frames]
-                if self.hparams['use_wav']:self._assert_ready_for_upsampling(y, c, self.hop_size, self.aux_context_window)
-            else:
-                print(f"Removed short sample from batch (length={len(x)}).")
-                continue
-            if self.hparams['use_wav']:y_batch += [y.reshape(-1, 1)]  # [(T, 1), (T, 1), ...]
-            c_batch += [c]  # [(T' C), (T' C), ...]
-            if have_pitch:
-                p_batch += [p]  # [(T' C), (T' C), ...]
-                f0_batch += [f0]  # [(T' C), (T' C), ...]
-
-        # convert each batch to tensor, asuume that each item in batch has the same length
-        if self.hparams['use_wav']:y_batch = utils.collate_2d(y_batch, 0).transpose(2, 1)  # (B, 1, T)
-        c_batch = utils.collate_2d(c_batch, 0).transpose(2, 1)  # (B, C, T')
-        if have_pitch:
-            p_batch = utils.collate_1d(p_batch, 0)  # (B, T')
-            f0_batch = utils.collate_1d(f0_batch, 0)  # (B, T')
-        else:
-            p_batch, f0_batch = None, None
-
-        # make input noise signal batch tensor
-        if self.hparams['use_wav']: z_batch = torch.randn(y_batch.size())  # (B, 1, T)
-        else: z_batch=[]
-        return {
-            'z': z_batch,
-            'mels': c_batch,
-            'wavs': y_batch,
-            'pitches': p_batch,
-            'f0': f0_batch,
-            'item_name': item_name
-        }
-
-    @staticmethod
-    def _assert_ready_for_upsampling(x, c, hop_size, context_window):
-        """Assert the audio and feature lengths are correctly adjusted for upsamping."""
-        assert len(x) == (len(c) - 2 * context_window) * hop_size
-
-    def load_test_inputs(self, test_input_dir, spk_id=0):
-        inp_wav_paths = sorted(glob.glob(f'{test_input_dir}/*.wav') + glob.glob(f'{test_input_dir}/**/*.mp3'))
-        sizes = []
-        items = []
-
-        binarizer_cls = hparams.get("binarizer_cls", 'data_gen.tts.base_binarizer.BaseBinarizer')
-        pkg = ".".join(binarizer_cls.split(".")[:-1])
-        cls_name = binarizer_cls.split(".")[-1]
-        binarizer_cls = getattr(importlib.import_module(pkg), cls_name)
-        binarization_args = hparams['binarization_args']
-
-        for wav_fn in inp_wav_paths:
-            item_name = wav_fn[len(test_input_dir) + 1:].replace("/", "_")
-            item = binarizer_cls.process_item(
-                item_name, wav_fn, binarization_args)
-            items.append(item)
-            sizes.append(item['len'])
-        return items, sizes
-
-    def load_mel_inputs(self, test_input_dir, spk_id=0):
-        inp_mel_paths = sorted(glob.glob(f'{test_input_dir}/*.npy'))
-        sizes = []
-        items = []
-
-        binarizer_cls = hparams.get("binarizer_cls", 'data_gen.tts.base_binarizer.BaseBinarizer')
-        pkg = ".".join(binarizer_cls.split(".")[:-1])
-        cls_name = binarizer_cls.split(".")[-1]
-        binarizer_cls = getattr(importlib.import_module(pkg), cls_name)
-        binarization_args = hparams['binarization_args']
-
-        for mel in inp_mel_paths:
-            mel_input = np.load(mel)
-            mel_input = torch.FloatTensor(mel_input)
-            item_name = mel[len(test_input_dir) + 1:].replace("/", "_")
-            item = binarizer_cls.process_mel_item(item_name, mel_input, None, binarization_args)
-            items.append(item)
-            sizes.append(item['len'])
-        return items, sizes

spaces/AIGC-Audio/AudioGPT/audio_detection/audio_infer/pytorch/losses.py

@@ -1,14 +0,0 @@
-import torch
-import torch.nn.functional as F
-
-
-def clip_bce(output_dict, target_dict):
-    """Binary crossentropy loss.
-    """
-    return F.binary_cross_entropy(
-        output_dict['clipwise_output'], target_dict['target'])
-
-
-def get_loss_func(loss_type):
-    if loss_type == 'clip_bce':
-        return clip_bce

spaces/AIGC-Audio/AudioGPT/text_to_speech/TTS_binding.py

@@ -1,126 +0,0 @@
-import torch
-import os
-
-
-class TTSInference:
-    def __init__(self, device=None):
-        print("Initializing TTS model to %s" % device)
-        from .tasks.tts.tts_utils import load_data_preprocessor
-        from .utils.commons.hparams import set_hparams
-        if device is None:
-            device = 'cuda' if torch.cuda.is_available() else 'cpu'
-        self.hparams = set_hparams("text_to_speech/checkpoints/ljspeech/ps_adv_baseline/config.yaml")
-        self.device = device
-        self.data_dir = 'text_to_speech/checkpoints/ljspeech/data_info'
-        self.preprocessor, self.preprocess_args = load_data_preprocessor()
-        self.ph_encoder, self.word_encoder = self.preprocessor.load_dict(self.data_dir)
-        self.spk_map = self.preprocessor.load_spk_map(self.data_dir)
-        self.model = self.build_model()
-        self.model.eval()
-        self.model.to(self.device)
-        self.vocoder = self.build_vocoder()
-        self.vocoder.eval()
-        self.vocoder.to(self.device)
-        print("TTS loaded!")
-
-    def build_model(self):
-        from .utils.commons.ckpt_utils import load_ckpt
-        from .modules.tts.portaspeech.portaspeech import PortaSpeech
-
-        ph_dict_size = len(self.ph_encoder)
-        word_dict_size = len(self.word_encoder)
-        model = PortaSpeech(ph_dict_size, word_dict_size, self.hparams)
-        load_ckpt(model, 'text_to_speech/checkpoints/ljspeech/ps_adv_baseline', 'model')
-        model.to(self.device)
-        with torch.no_grad():
-            model.store_inverse_all()
-        model.eval()
-        return model
-    
-    def forward_model(self, inp):
-        sample = self.input_to_batch(inp)
-        with torch.no_grad():
-            output = self.model(
-                sample['txt_tokens'],
-                sample['word_tokens'],
-                ph2word=sample['ph2word'],
-                word_len=sample['word_lengths'].max(),
-                infer=True,
-                forward_post_glow=True,
-                spk_id=sample.get('spk_ids')
-            )
-            mel_out = output['mel_out']
-            wav_out = self.run_vocoder(mel_out)
-        wav_out = wav_out.cpu().numpy()
-        return wav_out[0]
-
-    def build_vocoder(self):
-        from .utils.commons.hparams import set_hparams
-        from .modules.vocoder.hifigan.hifigan import HifiGanGenerator
-        from .utils.commons.ckpt_utils import load_ckpt
-        base_dir = 'text_to_speech/checkpoints/hifi_lj'
-        config_path = f'{base_dir}/config.yaml'
-        config = set_hparams(config_path, global_hparams=False)
-        vocoder = HifiGanGenerator(config)
-        load_ckpt(vocoder, base_dir, 'model_gen')
-        return vocoder
-
-    def run_vocoder(self, c):
-        c = c.transpose(2, 1)
-        y = self.vocoder(c)[:, 0]
-        return y
-
-    def preprocess_input(self, inp):
-        """
-
-        :param inp: {'text': str, 'item_name': (str, optional), 'spk_name': (str, optional)}
-        :return:
-        """
-        preprocessor, preprocess_args = self.preprocessor, self.preprocess_args
-        text_raw = inp['text']
-        item_name = inp.get('item_name', '<ITEM_NAME>')
-        spk_name = inp.get('spk_name', '<SINGLE_SPK>')
-        ph, txt, word, ph2word, ph_gb_word = preprocessor.txt_to_ph(
-            preprocessor.txt_processor, text_raw, preprocess_args)
-        word_token = self.word_encoder.encode(word)
-        ph_token = self.ph_encoder.encode(ph)
-        spk_id = self.spk_map[spk_name]
-        item = {'item_name': item_name, 'text': txt, 'ph': ph, 'spk_id': spk_id,
-                'ph_token': ph_token, 'word_token': word_token, 'ph2word': ph2word,
-                'ph_words':ph_gb_word, 'words': word}
-        item['ph_len'] = len(item['ph_token'])
-        return item
-
-    def input_to_batch(self, item):
-        item_names = [item['item_name']]
-        text = [item['text']]
-        ph = [item['ph']]
-        txt_tokens = torch.LongTensor(item['ph_token'])[None, :].to(self.device)
-        txt_lengths = torch.LongTensor([txt_tokens.shape[1]]).to(self.device)
-        word_tokens = torch.LongTensor(item['word_token'])[None, :].to(self.device)
-        word_lengths = torch.LongTensor([txt_tokens.shape[1]]).to(self.device)
-        ph2word = torch.LongTensor(item['ph2word'])[None, :].to(self.device)
-        spk_ids = torch.LongTensor(item['spk_id'])[None, :].to(self.device)
-        batch = {
-            'item_name': item_names,
-            'text': text,
-            'ph': ph,
-            'txt_tokens': txt_tokens,
-            'txt_lengths': txt_lengths,
-            'word_tokens': word_tokens,
-            'word_lengths': word_lengths,
-            'ph2word': ph2word,
-            'spk_ids': spk_ids,
-        }
-        return batch
-
-    def postprocess_output(self, output):
-        return output
-
-    def infer_once(self, inp):
-        inp = self.preprocess_input(inp)
-        output = self.forward_model(inp)
-        output = self.postprocess_output(output)
-        return output
-
-

spaces/AchyuthGamer/OpenGPT/g4f/Provider/OpenAssistant.py

@@ -1,100 +0,0 @@
-from __future__ import annotations
-
-import json
-
-from aiohttp import ClientSession
-
-from ..typing import Any, AsyncGenerator
-from .base_provider import AsyncGeneratorProvider, format_prompt, get_cookies
-
-
-class OpenAssistant(AsyncGeneratorProvider):
-    url = "https://open-assistant.io/chat"
-    needs_auth = True
-    working = True
-    model = "OA_SFT_Llama_30B_6"
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: list[dict[str, str]],
-        proxy: str = None,
-        cookies: dict = None,
-        **kwargs: Any
-    ) -> AsyncGenerator:
-        if not cookies:
-            cookies = get_cookies("open-assistant.io")
-
-        headers = {
-            'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
-        }
-        async with ClientSession(
-            cookies=cookies,
-            headers=headers
-        ) as session:
-            async with session.post("https://open-assistant.io/api/chat", proxy=proxy) as response:
-                chat_id = (await response.json())["id"]
-
-            data = {
-                "chat_id": chat_id,
-                "content": f"<s>[INST]\n{format_prompt(messages)}\n[/INST]",
-                "parent_id": None
-            }
-            async with session.post("https://open-assistant.io/api/chat/prompter_message", proxy=proxy, json=data) as response:
-                parent_id = (await response.json())["id"]
-
-            data = {
-                "chat_id": chat_id,
-                "parent_id": parent_id,
-                "model_config_name": model if model else cls.model,
-                "sampling_parameters":{
-                    "top_k": 50,
-                    "top_p": None,
-                    "typical_p": None,
-                    "temperature": 0.35,
-                    "repetition_penalty": 1.1111111111111112,
-                    "max_new_tokens": 1024,
-                    **kwargs
-                },
-                "plugins":[]
-            }
-            async with session.post("https://open-assistant.io/api/chat/assistant_message", proxy=proxy, json=data) as response:
-                data = await response.json()
-                if "id" in  data:
-                    message_id = data["id"]
-                elif "message" in data:
-                    raise RuntimeError(data["message"])
-                else:
-                    response.raise_for_status()
-            
-            params = {
-                'chat_id': chat_id,
-                'message_id': message_id,
-            }
-            async with session.post("https://open-assistant.io/api/chat/events", proxy=proxy, params=params) as response:
-                start = "data: "
-                async for line in response.content:
-                    line = line.decode("utf-8")
-                    if line and line.startswith(start):
-                        line = json.loads(line[len(start):])
-                        if line["event_type"] == "token":
-                            yield line["text"]
-
-            params = {
-                'chat_id': chat_id,
-            }
-            async with session.delete("https://open-assistant.io/api/chat", proxy=proxy, params=params) as response:
-                response.raise_for_status()
-
-    @classmethod
-    @property
-    def params(cls):
-        params = [
-            ("model", "str"),
-            ("messages", "list[dict[str, str]]"),
-            ("stream", "bool"),
-            ("proxy", "str"),
-        ]
-        param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.provider.{cls.__name__} supports: ({param})"

spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/filechooser/Factory.js

@@ -1,13 +0,0 @@
-import { FileChooser } from './FileChooser.js';
-import ObjectFactory from '../ObjectFactory.js';
-import SetValue from '../../../plugins/utils/object/SetValue.js';
-
-ObjectFactory.register('fileChooser', function (config) {
-    var gameObject = new FileChooser(this.scene, config);
-    this.scene.add.existing(gameObject);
-    return gameObject;
-});
-
-SetValue(window, 'RexPlugins.UI.FileChooser', FileChooser);
-
-export default FileChooser;

spaces/Alfasign/chat-llm-streaming/README.md

@@ -1,13 +0,0 @@
----
-title: Chat Llm Streaming
-emoji: 📊
-colorFrom: blue
-colorTo: gray
-sdk: gradio
-sdk_version: 3.20.1
-app_file: app.py
-pinned: false
-duplicated_from: olivierdehaene/chat-llm-streaming
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/Amrrs/DragGan-Inversion/PTI/models/e4e/encoders/psp_encoders.py

@@ -1,200 +0,0 @@
-from enum import Enum
-import math
-import numpy as np
-import torch
-from torch import nn
-from torch.nn import Conv2d, BatchNorm2d, PReLU, Sequential, Module
-
-from PTI.models.e4e.encoders.helpers import get_blocks, bottleneck_IR, bottleneck_IR_SE, _upsample_add
-from PTI.models.e4e.stylegan2.model import EqualLinear
-
-
-class ProgressiveStage(Enum):
-    WTraining = 0
-    Delta1Training = 1
-    Delta2Training = 2
-    Delta3Training = 3
-    Delta4Training = 4
-    Delta5Training = 5
-    Delta6Training = 6
-    Delta7Training = 7
-    Delta8Training = 8
-    Delta9Training = 9
-    Delta10Training = 10
-    Delta11Training = 11
-    Delta12Training = 12
-    Delta13Training = 13
-    Delta14Training = 14
-    Delta15Training = 15
-    Delta16Training = 16
-    Delta17Training = 17
-    Inference = 18
-
-
-class GradualStyleBlock(Module):
-    def __init__(self, in_c, out_c, spatial):
-        super(GradualStyleBlock, self).__init__()
-        self.out_c = out_c
-        self.spatial = spatial
-        num_pools = int(np.log2(spatial))
-        modules = []
-        modules += [Conv2d(in_c, out_c, kernel_size=3, stride=2, padding=1),
-                    nn.LeakyReLU()]
-        for i in range(num_pools - 1):
-            modules += [
-                Conv2d(out_c, out_c, kernel_size=3, stride=2, padding=1),
-                nn.LeakyReLU()
-            ]
-        self.convs = nn.Sequential(*modules)
-        self.linear = EqualLinear(out_c, out_c, lr_mul=1)
-
-    def forward(self, x):
-        x = self.convs(x)
-        x = x.view(-1, self.out_c)
-        x = self.linear(x)
-        return x
-
-
-class GradualStyleEncoder(Module):
-    def __init__(self, num_layers, mode='ir', opts=None):
-        super(GradualStyleEncoder, self).__init__()
-        assert num_layers in [50, 100, 152], 'num_layers should be 50,100, or 152'
-        assert mode in ['ir', 'ir_se'], 'mode should be ir or ir_se'
-        blocks = get_blocks(num_layers)
-        if mode == 'ir':
-            unit_module = bottleneck_IR
-        elif mode == 'ir_se':
-            unit_module = bottleneck_IR_SE
-        self.input_layer = Sequential(Conv2d(3, 64, (3, 3), 1, 1, bias=False),
-                                      BatchNorm2d(64),
-                                      PReLU(64))
-        modules = []
-        for block in blocks:
-            for bottleneck in block:
-                modules.append(unit_module(bottleneck.in_channel,
-                                           bottleneck.depth,
-                                           bottleneck.stride))
-        self.body = Sequential(*modules)
-
-        self.styles = nn.ModuleList()
-        log_size = int(math.log(opts.stylegan_size, 2))
-        self.style_count = 2 * log_size - 2
-        self.coarse_ind = 3
-        self.middle_ind = 7
-        for i in range(self.style_count):
-            if i < self.coarse_ind:
-                style = GradualStyleBlock(512, 512, 16)
-            elif i < self.middle_ind:
-                style = GradualStyleBlock(512, 512, 32)
-            else:
-                style = GradualStyleBlock(512, 512, 64)
-            self.styles.append(style)
-        self.latlayer1 = nn.Conv2d(256, 512, kernel_size=1, stride=1, padding=0)
-        self.latlayer2 = nn.Conv2d(128, 512, kernel_size=1, stride=1, padding=0)
-
-    def forward(self, x):
-        x = self.input_layer(x)
-
-        latents = []
-        modulelist = list(self.body._modules.values())
-        for i, l in enumerate(modulelist):
-            x = l(x)
-            if i == 6:
-                c1 = x
-            elif i == 20:
-                c2 = x
-            elif i == 23:
-                c3 = x
-
-        for j in range(self.coarse_ind):
-            latents.append(self.styles[j](c3))
-
-        p2 = _upsample_add(c3, self.latlayer1(c2))
-        for j in range(self.coarse_ind, self.middle_ind):
-            latents.append(self.styles[j](p2))
-
-        p1 = _upsample_add(p2, self.latlayer2(c1))
-        for j in range(self.middle_ind, self.style_count):
-            latents.append(self.styles[j](p1))
-
-        out = torch.stack(latents, dim=1)
-        return out
-
-
-class Encoder4Editing(Module):
-    def __init__(self, num_layers, mode='ir', opts=None):
-        super(Encoder4Editing, self).__init__()
-        assert num_layers in [50, 100, 152], 'num_layers should be 50,100, or 152'
-        assert mode in ['ir', 'ir_se'], 'mode should be ir or ir_se'
-        blocks = get_blocks(num_layers)
-        if mode == 'ir':
-            unit_module = bottleneck_IR
-        elif mode == 'ir_se':
-            unit_module = bottleneck_IR_SE
-        self.input_layer = Sequential(Conv2d(3, 64, (3, 3), 1, 1, bias=False),
-                                      BatchNorm2d(64),
-                                      PReLU(64))
-        modules = []
-        for block in blocks:
-            for bottleneck in block:
-                modules.append(unit_module(bottleneck.in_channel,
-                                           bottleneck.depth,
-                                           bottleneck.stride))
-        self.body = Sequential(*modules)
-
-        self.styles = nn.ModuleList()
-        log_size = int(math.log(opts.stylegan_size, 2))
-        self.style_count = 2 * log_size - 2
-        self.coarse_ind = 3
-        self.middle_ind = 7
-
-        for i in range(self.style_count):
-            if i < self.coarse_ind:
-                style = GradualStyleBlock(512, 512, 16)
-            elif i < self.middle_ind:
-                style = GradualStyleBlock(512, 512, 32)
-            else:
-                style = GradualStyleBlock(512, 512, 64)
-            self.styles.append(style)
-
-        self.latlayer1 = nn.Conv2d(256, 512, kernel_size=1, stride=1, padding=0)
-        self.latlayer2 = nn.Conv2d(128, 512, kernel_size=1, stride=1, padding=0)
-
-        self.progressive_stage = ProgressiveStage.Inference
-
-    def get_deltas_starting_dimensions(self):
-        ''' Get a list of the initial dimension of every delta from which it is applied '''
-        return list(range(self.style_count))  # Each dimension has a delta applied to it
-
-    def set_progressive_stage(self, new_stage: ProgressiveStage):
-        self.progressive_stage = new_stage
-        print('Changed progressive stage to: ', new_stage)
-
-    def forward(self, x):
-        x = self.input_layer(x)
-
-        modulelist = list(self.body._modules.values())
-        for i, l in enumerate(modulelist):
-            x = l(x)
-            if i == 6:
-                c1 = x
-            elif i == 20:
-                c2 = x
-            elif i == 23:
-                c3 = x
-
-        # Infer main W and duplicate it
-        w0 = self.styles[0](c3)
-        w = w0.repeat(self.style_count, 1, 1).permute(1, 0, 2)
-        stage = self.progressive_stage.value
-        features = c3
-        for i in range(1, min(stage + 1, self.style_count)):  # Infer additional deltas
-            if i == self.coarse_ind:
-                p2 = _upsample_add(c3, self.latlayer1(c2))  # FPN's middle features
-                features = p2
-            elif i == self.middle_ind:
-                p1 = _upsample_add(p2, self.latlayer2(c1))  # FPN's fine features
-                features = p1
-            delta_i = self.styles[i](features)
-            w[:, i] += delta_i
-        return w

spaces/Andy1621/uniformer_image_detection/configs/gcnet/mask_rcnn_r101_fpn_syncbn-backbone_r4_gcb_c3-c5_1x_coco.py

@@ -1,11 +0,0 @@
-_base_ = '../mask_rcnn/mask_rcnn_r101_fpn_1x_coco.py'
-model = dict(
-    backbone=dict(
-        norm_cfg=dict(type='SyncBN', requires_grad=True),
-        norm_eval=False,
-        plugins=[
-            dict(
-                cfg=dict(type='ContextBlock', ratio=1. / 4),
-                stages=(False, True, True, True),
-                position='after_conv3')
-        ]))

spaces/Andy1621/uniformer_image_detection/configs/grid_rcnn/grid_rcnn_r50_fpn_gn-head_2x_coco.py

@@ -1,131 +0,0 @@
-_base_ = [
-    '../_base_/datasets/coco_detection.py', '../_base_/default_runtime.py'
-]
-# model settings
-model = dict(
-    type='GridRCNN',
-    pretrained='torchvision://resnet50',
-    backbone=dict(
-        type='ResNet',
-        depth=50,
-        num_stages=4,
-        out_indices=(0, 1, 2, 3),
-        frozen_stages=1,
-        norm_cfg=dict(type='BN', requires_grad=True),
-        norm_eval=True,
-        style='pytorch'),
-    neck=dict(
-        type='FPN',
-        in_channels=[256, 512, 1024, 2048],
-        out_channels=256,
-        num_outs=5),
-    rpn_head=dict(
-        type='RPNHead',
-        in_channels=256,
-        feat_channels=256,
-        anchor_generator=dict(
-            type='AnchorGenerator',
-            scales=[8],
-            ratios=[0.5, 1.0, 2.0],
-            strides=[4, 8, 16, 32, 64]),
-        bbox_coder=dict(
-            type='DeltaXYWHBBoxCoder',
-            target_means=[.0, .0, .0, .0],
-            target_stds=[1.0, 1.0, 1.0, 1.0]),
-        loss_cls=dict(
-            type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0),
-        loss_bbox=dict(type='SmoothL1Loss', beta=1.0 / 9.0, loss_weight=1.0)),
-    roi_head=dict(
-        type='GridRoIHead',
-        bbox_roi_extractor=dict(
-            type='SingleRoIExtractor',
-            roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=0),
-            out_channels=256,
-            featmap_strides=[4, 8, 16, 32]),
-        bbox_head=dict(
-            type='Shared2FCBBoxHead',
-            with_reg=False,
-            in_channels=256,
-            fc_out_channels=1024,
-            roi_feat_size=7,
-            num_classes=80,
-            bbox_coder=dict(
-                type='DeltaXYWHBBoxCoder',
-                target_means=[0., 0., 0., 0.],
-                target_stds=[0.1, 0.1, 0.2, 0.2]),
-            reg_class_agnostic=False),
-        grid_roi_extractor=dict(
-            type='SingleRoIExtractor',
-            roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0),
-            out_channels=256,
-            featmap_strides=[4, 8, 16, 32]),
-        grid_head=dict(
-            type='GridHead',
-            grid_points=9,
-            num_convs=8,
-            in_channels=256,
-            point_feat_channels=64,
-            norm_cfg=dict(type='GN', num_groups=36),
-            loss_grid=dict(
-                type='CrossEntropyLoss', use_sigmoid=True, loss_weight=15))),
-    # model training and testing settings
-    train_cfg=dict(
-        rpn=dict(
-            assigner=dict(
-                type='MaxIoUAssigner',
-                pos_iou_thr=0.7,
-                neg_iou_thr=0.3,
-                min_pos_iou=0.3,
-                ignore_iof_thr=-1),
-            sampler=dict(
-                type='RandomSampler',
-                num=256,
-                pos_fraction=0.5,
-                neg_pos_ub=-1,
-                add_gt_as_proposals=False),
-            allowed_border=0,
-            pos_weight=-1,
-            debug=False),
-        rpn_proposal=dict(
-            nms_pre=2000,
-            max_per_img=2000,
-            nms=dict(type='nms', iou_threshold=0.7),
-            min_bbox_size=0),
-        rcnn=dict(
-            assigner=dict(
-                type='MaxIoUAssigner',
-                pos_iou_thr=0.5,
-                neg_iou_thr=0.5,
-                min_pos_iou=0.5,
-                ignore_iof_thr=-1),
-            sampler=dict(
-                type='RandomSampler',
-                num=512,
-                pos_fraction=0.25,
-                neg_pos_ub=-1,
-                add_gt_as_proposals=True),
-            pos_radius=1,
-            pos_weight=-1,
-            max_num_grid=192,
-            debug=False)),
-    test_cfg=dict(
-        rpn=dict(
-            nms_pre=1000,
-            max_per_img=1000,
-            nms=dict(type='nms', iou_threshold=0.7),
-            min_bbox_size=0),
-        rcnn=dict(
-            score_thr=0.03,
-            nms=dict(type='nms', iou_threshold=0.3),
-            max_per_img=100)))
-# optimizer
-optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)
-optimizer_config = dict(grad_clip=None)
-# learning policy
-lr_config = dict(
-    policy='step',
-    warmup='linear',
-    warmup_iters=3665,
-    warmup_ratio=1.0 / 80,
-    step=[17, 23])
-runner = dict(type='EpochBasedRunner', max_epochs=25)

spaces/Andy1621/uniformer_image_segmentation/configs/apcnet/apcnet_r101-d8_512x512_160k_ade20k.py

@@ -1,2 +0,0 @@
-_base_ = './apcnet_r50-d8_512x512_160k_ade20k.py'
-model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))

spaces/Andy1621/uniformer_image_segmentation/configs/deeplabv3/deeplabv3_r18b-d8_769x769_80k_cityscapes.py

@@ -1,9 +0,0 @@
-_base_ = './deeplabv3_r50-d8_769x769_80k_cityscapes.py'
-model = dict(
-    pretrained='torchvision://resnet18',
-    backbone=dict(type='ResNet', depth=18),
-    decode_head=dict(
-        in_channels=512,
-        channels=128,
-    ),
-    auxiliary_head=dict(in_channels=256, channels=64))

spaces/AnimalEquality/chatbot/_proc/_docs/styles.css

@@ -1,37 +0,0 @@
-.cell {
-  margin-bottom: 1rem;
-}
-
-.cell > .sourceCode {
-  margin-bottom: 0;
-}
-
-.cell-output > pre {
-  margin-bottom: 0;
-}
-
-.cell-output > pre, .cell-output > .sourceCode > pre, .cell-output-stdout > pre {
-  margin-left: 0.8rem;
-  margin-top: 0;
-  background: none;
-  border-left: 2px solid lightsalmon;
-  border-top-left-radius: 0;
-  border-top-right-radius: 0;
-}
-
-.cell-output > .sourceCode {
-  border: none;
-}
-
-.cell-output > .sourceCode {
-  background: none;
-  margin-top: 0;
-}
-
-div.description {
-  padding-left: 2px;
-  padding-top: 5px;
-  font-style: italic;
-  font-size: 135%;
-  opacity: 70%;
-}

spaces/AnimeStudio/anime-models/index.html

@@ -1,305 +0,0 @@
-import gradio as gr
-import os
-import sys
-from pathlib import Path
-
-models = [
-    {"name": "Deliberate", "url": "Masagin/Deliberate"},
-    {"name": "Dreamlike Anime", "url": "dreamlike-art/dreamlike-anime-1.0"},
-    {"name": "Dreamlike Diffusion", "url": "dreamlike-art/dreamlike-diffusion-1.0"},
-    {"name": "Dreamlike Photoreal", "url": "dreamlike-art/dreamlike-photoreal-2.0"},
-    {"name": "Dreamshaper", "url": "Lykon/DreamShaper"},
-    {"name": "Lyriel 1.3", "url": "sakistriker/Lyriel_V1.3"},
-    {"name": "Never Ending Dream 2", "url": "luongphamit/NeverEnding-Dream2"},
-    {"name": "Protogen X 5.8", "url": "darkstorm2150/Protogen_x5.8_Official_Release"},
-    {"name": "❤ ART MODELS ==========", "url": "dreamlike-art/dreamlike-diffusion-1.0"},
-    {"name": "Alice in Diffusion Land", "url": "Guizmus/SDArt_AliceInDiffusionLand"},
-    {"name": "Alt Clip", "url": "BAAI/AltCLIP"},
-    {"name": "Anything Midjourney 4.1", "url": "Joeythemonster/anything-midjourney-v-4-1"},
-    {"name": "Chaos and Order", "url": "Guizmus/SDArt_ChaosAndOrder768"},
-    {"name": "Chilloutclara", "url": "Fred99774/chilloutvlara"},
-    {"name": "Comic Diffusion", "url": "ogkalu/Comic-Diffusion"},
-    {"name": "Cosmic Horros 768", "url": "Guizmus/SDArt_cosmichorrors768"},
-    {"name": "Cosmic Horros", "url": "Guizmus/SDArt_cosmichorrors"},
-    {"name": "DGSpitzer", "url": "DGSpitzer/DGSpitzer-Art-Diffusion"},
-    {"name": "Dungeons and Diffusion", "url": "0xJustin/Dungeons-and-Diffusion"},
-    {"name": "Elden Ring", "url": "nitrosocke/elden-ring-diffusion"},
-    {"name": "Epic Diffusion 1.1", "url": "johnslegers/epic-diffusion-v1.1"},
-    {"name": "Epic Diffusion", "url": "johnslegers/epic-diffusion"},
-    {"name": "EpicMix Realism", "url": "Duskfallcrew/EpicMix_Realism"},
-    {"name": "Fantasy Mix", "url": "theintuitiveye/FantasyMix"},
-    {"name": "Girl New 1", "url": "Fred99774/girlnew1"},
-    {"name": "Lit 6B", "url": "hakurei/lit-6B"},
-    {"name": "Luna Diffusion", "url": "proximasanfinetuning/luna-diffusion"},
-    {"name": "Midjourney 4.0", "url": "flax/midjourney-v4-diffusion"},
-    {"name": "Midjourney 4.1", "url": "Joeythemonster/anything-midjourney-v-4-1"},
-    {"name": "Mo-Di Diffusion", "url": "nitrosocke/mo-di-diffusion"},
-    {"name": "Nitro Diffusion", "url": "nitrosocke/Nitro-Diffusion"},
-    {"name": "Openjourney V2", "url": "prompthero/openjourney-v2"},
-    {"name": "Openjourney", "url": "prompthero/openjourney"},
-    {"name": "Seek Art Mega", "url": "coreco/seek.art_MEGA"},
-    {"name": "Something", "url": "Guizmus/SDArt_something"},
-    {"name": "Spider Verse diffusion", "url": "nitrosocke/spider-verse-diffusion"},
-    {"name": "Vintedois 1.0", "url": "22h/vintedois-diffusion-v0-1"},
-    {"name": "Vintedois 2.0", "url": "22h/vintedois-diffusion-v0-2"},
-    {"name": "❤ ART STYLES ==========", "url": "joachimsallstrom/Double-Exposure-Diffusion"},
-    {"name": "Balloon Art", "url": "Fictiverse/Stable_Diffusion_BalloonArt_Model"},
-    {"name": "Double Exposure Diffusion", "url": "joachimsallstrom/Double-Exposure-Diffusion"},
-    {"name": "Fluid Art", "url": "Fictiverse/Stable_Diffusion_FluidArt_Model"},
-    {"name": "GTA5 Artwork Diffusion", "url": "ItsJayQz/GTA5_Artwork_Diffusion"},
-    {"name": "Marvel WhatIf Diffusion", "url": "ItsJayQz/Marvel_WhatIf_Diffusion"},
-    {"name": "Naruto Diffuser", "url": "lambdalabs/sd-naruto-diffusers"},
-    {"name": "Papercut", "url": "Fictiverse/Stable_Diffusion_PaperCut_Model"},
-    {"name": "Pokemon Diffuser", "url": "lambdalabs/sd-pokemon-diffusers"},
-    {"name": "Synthwave Punk 2", "url": "ItsJayQz/SynthwavePunk-v2"},
-    {"name": "Valorant Diffusion", "url": "ItsJayQz/Valorant_Diffusion"},
-    {"name": "Van Gogh Diffusion", "url": "dallinmackay/Van-Gogh-diffusion"},
-    {"name": "Vectorartz Diffusion", "url": "coder119/Vectorartz_Diffusion"},
-    {"name": "VoxelArt", "url": "Fictiverse/Stable_Diffusion_VoxelArt_Model"},
-    {"name": "❤ ANIME MODELS ==========", "url": "dreamlike-art/dreamlike-anime-1.0"},
-    {"name": "7 Pa", "url": "AIARTCHAN/7pa"},
-    {"name": "A Certain Model", "url": "JosephusCheung/ACertainModel"},
-    {"name": "A Certain Thing", "url": "JosephusCheung/ACertainThing"},
-    {"name": "A Certainity", "url": "JosephusCheung/ACertainty"},
-    {"name": "Abyss Hell Hero", "url": "AIARTCHAN/AbyssHellHero"},
-    {"name": "Abyss Maple 3", "url": "AIARTCHAN/AbyssMapleVer3"},
-    {"name": "Abyss Orange Mix 2", "url": "WarriorMama777/AbyssOrangeMix2"},
-    {"name": "Abyss Orange Mix 4", "url": "sakistriker/AbyssOrangeMix3"},
-    {"name": "Abyss Orange Mix", "url": "WarriorMama777/AbyssOrangeMix"},
-    {"name": "AbyssHell 3", "url": "AIARTCHAN/AbyssHellVer3"},
-    {"name": "All 526 Animated", "url": "stablediffusionapi/all-526-animated"},
-    {"name": "Anidosmix 3", "url": "AIARTCHAN/anidosmixV2"},
-    {"name": "Anime Kawai Diffusion", "url": "Ojimi/anime-kawai-diffusion"},
-    {"name": "Anireal 3D V2", "url": "circulus/sd-anireal-3d-v2"},
-    {"name": "AnyLORA", "url": "kubanemil/AnyLORA"},
-    {"name": "Anything 2.1", "url": "swl-models/anything-v2.1"},
-    {"name": "Anything 3.0 Light", "url": "mm00/anything-v3.0-light"},
-    {"name": "Anything 3.0", "url": "Linaqruf/anything-v3.0"},
-    {"name": "Anything 3.1", "url": "cag/anything-v3-1"},
-    {"name": "Anything 3X", "url": "iZELX1/Anything-V3-X"},
-    {"name": "Anything 4.0", "url": "andite/anything-v4.0"},
-    {"name": "Anything 5", "url": "sakistriker/Anything_V5_PrtRE"},
-    {"name": "Anything 5.0", "url": "stablediffusionapi/anything-v5"},
-    {"name": "Anything Else 4", "url": "stablediffusionapi/anythingelse-v4"},
-    {"name": "Anything Else 5", "url": "stablediffusionapi/anything-v5"},
-    {"name": "Arcane Diffusion", "url": "nitrosocke/Arcane-Diffusion"},
-    {"name": "Archer Diffusion", "url": "nitrosocke/archer-diffusion"},
-    {"name": "Asian Mix", "url": "D1b4l4p/AsianMix"},
-    {"name": "Blood Orange Mix", "url": "WarriorMama777/BloodOrangeMix"},
-    {"name": "CamelliaMix 2.5D","url": "stablediffusionapi/camelliamix25d"},
-    {"name": "CamelliaMix Line","url": "stablediffusionapi/camelliamixline"},
-    {"name": "CamelliaMix","url": "Powidl43/CamelliaMix"},
-    {"name": "Cetusmix", "url": "stablediffusionapi/cetusmix"},
-    {"name": "Chik Mix", "url": "stablediffusionapi/chikmix"},
-    {"name": "Chikmix", "url": "stablediffusionapi/chikmix"},
-    {"name": "Chillout App Factory","url": "stablediffusionapi/chillout-app-factory"},
-    {"name": "Classic Anime", "url": "nitrosocke/classic-anim-diffusion"},
-    {"name": "Cool Japan Diffusion 2.1.2", "url": "aipicasso/cool-japan-diffusion-2-1-2"},
-    {"name": "Cosmic Babes", "url": "stablediffusionapi/cosmic-babes"},
-    {"name": "Counterfeit 1.0", "url": "gsdf/counterfeit-v1.0"},
-    {"name": "Counterfeit 2", "url": "gsdf/Counterfeit-V2.0"},
-    {"name": "Counterfeit 2.0", "url": "gsdf/Counterfeit-V2.0"},
-    {"name": "Counterfeit 3.0", "url": "stablediffusionapi/counterfeit-v30"},
-    {"name": "CuteSexyRobutts", "url": "andite/cutesexyrobutts-diffusion"},
-    {"name": "CyberPunk Anime", "url": "DGSpitzer/Cyberpunk-Anime-Diffusion"},
-    {"name": "Dark Sushi Mix", "url": "stablediffusionapi/dark-sushi-mix"},
-    {"name": "Dash Sushi 25d", "url": "stablediffusionapi/dark-sushi-25d"},
-    {"name": "DucHaiten Anime", "url": "DucHaiten/DucHaitenAnime"},
-    {"name": "Eerie Orange Mix", "url": "WarriorMama777/EerieOrangeMix"},
-    {"name": "Eimis Anime Diffusion", "url": "eimiss/EimisAnimeDiffusion_1.0v"},
-    {"name": "Ghibli Diffusion", "url": "nitrosocke/Ghibli-Diffusion"},
-    {"name": "GrapeFruit", "url": "iZELX1/Grapefruit"},
-    {"name": "GuoFeng 3", "url": "xiaolxl/GuoFeng3"},
-    {"name": "Guweiz Diffusion", "url": "andite/guweiz-diffusion"},
-    {"name": "Hiten Diffusion", "url": "andite/hiten-diffusion"},
-    {"name": "Icomix 2", "url": "stablediffusionapi/icomix-2"},
-    {"name": "InkPunk Diffusion", "url": "Envvi/Inkpunk-Diffusion"},
-    {"name": "Mama Orange Mixs", "url": "WarriorMama777/OrangeMixs"},
-    {"name": "Mashuu Diffusion", "url": "andite/mashuu-diffusion"},
-    {"name": "Meainamis 8", "url": "sakistriker/MeinaMix_V8"},
-    {"name": "Meina Alter", "url": "stablediffusionapi/meinaalter"},
-    {"name": "Meina Pastel", "url": "stablediffusionapi/meinapastel"},
-    {"name": "MeinaMix 7", "url": "Nacholmo/meinamixv7-diffusers"},
-    {"name": "Mignon Diffusion", "url": "andite/mignon-diffusion"},
-    {"name": "MikaPikazo Diffusion", "url": "andite/mikapikazo-diffusion"},
-    {"name": "Mikapikazo", "url": "andite/mikapikazo-diffusion"},
-    {"name": "Mix Pro V4", "url": "AIARTCHAN/MIX-Pro-V4"},
-    {"name": "NeverEnding-Dream", "url": "Lykon/NeverEnding-Dream"},
-    {"name": "Niji V5 Style 1", "url": "sakistriker/NijiV5style_V1"},
-    {"name": "Openjourney 4", "url": "prompthero/openjourney-v4"},
-    {"name": "OpenNiji", "url": "Korakoe/OpenNiji"},
-    {"name": "Pastel Mix", "url": "andite/pastel-mix"},
-    {"name": "Picasso Diffusion 1.1", "url": "aipicasso/picasso-diffusion-1-1"},
-    {"name": "Piromizu Diffusion", "url": "andite/piromizu-diffusion"},
-    {"name": "Protogen 2.2", "url": "darkstorm2150/Protogen_v2.2_Official_Release"},
-    {"name": "Protogen Infinity", "url": "darkstorm2150/Protogen_Infinity_Official_Release"},
-    {"name": "Protogen X 3.4", "url": "darkstorm2150/Protogen_x3.4_Official_Release"},
-    {"name": "Rev Anim", "url": "stablediffusionapi/rev-anim"},
-    {"name": "Rev Animated", "url": "coreml/coreml-ReV-Animated"},
-    {"name": "Rev Animated", "url": "LottePeisch/RevAnimated-Diffusers"},
-    {"name": "Something V 2.2","url": "NoCrypt/SomethingV2_2"},
-    {"name": "Something V2","url": "NoCrypt/SomethingV2"},
-    {"name": "Three Delicacy", "url": "stablediffusionapi/three-delicacy"},
-    {"name": "Three Delicacy wonto", "url": "stablediffusionapi/three-delicacy-wonto"},
-    {"name": "TMND mix", "url": "stablediffusionapi/tmnd-mix"},
-    {"name": "Waifu Diffusion", "url": "hakurei/waifu-diffusion"},
-    {"name": "❤ REALISTIC PHOTO MODELS ==========", "url": "dreamlike-art/dreamlike-photoreal-2.0"},
-    {"name": "AmiIReal", "url": "stablediffusionapi/amireal"},
-    {"name": "Analog Diffusion", "url": "wavymulder/Analog-Diffusion"},
-    {"name": "Circulus 2.8", "url": "circulus/sd-photoreal-v2.8"},
-    {"name": "Circulus Photoreal V2", "url": "circulus/sd-photoreal-real-v2"},
-    {"name": "Claudfuen 1", "url": "claudfuen/photorealistic-fuen-v1"},
-    {"name": "Collage Diffusion", "url": "wavymulder/collage-diffusion"},
-    {"name": "Cyberrealistic", "url": "stablediffusionapi/cyberrealistic"},
-    {"name": "Dreamful 2", "url": "Hius/DreamFul-V2"},
-    {"name": "GakkiMix768", "url": "Sa1i/gakki-mix-768"},
-    {"name": "Grimoeresigils", "url": "ECarbenia/grimoiresigils"},
-    {"name": "HARDBlend", "url": "theintuitiveye/HARDblend"},
-    {"name": "HassanBlend 1.4", "url": "hassanblend/hassanblend1.4"},
-    {"name": "HassanBlend 1.5.1.2", "url": "hassanblend/HassanBlend1.5.1.2"},
-    {"name": "Lomo Diffusion", "url": "wavymulder/lomo-diffusion"},
-    {"name": "Model Shoot", "url": "wavymulder/modelshoot"},
-    {"name": "Portrait Plus", "url": "wavymulder/portraitplus"},
-    {"name": "QuinceMix", "url": "Hemlok/QuinceMix"},
-    {"name": "Realistic Vision 1.4", "url": "SG161222/Realistic_Vision_V1.4"},
-    {"name": "The Ally", "url": "stablediffusionapi/the-ally"},
-    {"name": "Timeless Diffusion", "url": "wavymulder/timeless-diffusion"},
-    {"name": "UltraSkin", "url": "VegaKH/Ultraskin"},
-    {"name": "Wavyfusion", "url": "wavymulder/wavyfusion"},
-    {"name": "❤ SEMI-REALISTIC MODELS ==========", "url": "stablediffusionapi/all-526"},    
-    {"name": "All 526", "url": "stablediffusionapi/all-526"},
-    {"name": "All 526 animated", "url": "stablediffusionapi/all-526-animated"},
-    {"name": "Circulus Semi Real 2", "url": "circulus/sd-photoreal-semi-v2"},
-    {"name": "Semi Real Mix", "url": "robotjung/SemiRealMix"},
-    {"name": "SpyBG", "url": "stablediffusionapi/spybg"},
-    {"name": "❤ STABLE DIFFUSION MODELS ==========", "url": "stabilityai/stable-diffusion-2-1"},
-    {"name": "Stable Diffusion 1.4","url": "CompVis/stable-diffusion-v1-4"},
-    {"name": "Stable Diffusion 1.5","url": "runwayml/stable-diffusion-v1-5"},
-    {"name": "Stable Diffusion 2.1","url": "stabilityai/stable-diffusion-2-1"},
-    {"name": "Stable Diffusion 2.1 Base","url": "stabilityai/stable-diffusion-2-1-base"},
-    {"name": "Stable Diffusion 2.1 Unclip","url": "stabilityai/stable-diffusion-2-1-unclip"},
-    {"name": "❤ SCI FI MODELS ==========", "url": "nitrosocke/Future-Diffusion"},
-    {"name": "Future Diffusion", "url": "nitrosocke/Future-Diffusion"},
-    {"name": "JWST Deep Space Diffusion", "url": "dallinmackay/JWST-Deep-Space-diffusion"},
-    {"name": "Robo Diffusion 3 Base", "url": "nousr/robo-diffusion-2-base"},
-    {"name": "Robo Diffusion", "url": "nousr/robo-diffusion"},
-    {"name": "Tron Legacy Diffusion", "url": "dallinmackay/Tron-Legacy-diffusion"},
-    {"name": "❤ 3D ART MODELS ==========", "url": "DucHaiten/DucHaitenAIart"},
-    {"name": "DucHaiten Art", "url": "DucHaiten/DucHaitenAIart"},
-    {"name": "DucHaiten ClassicAnime", "url": "DucHaiten/DH_ClassicAnime"},
-    {"name": "DucHaiten DreamWorld", "url": "DucHaiten/DucHaitenDreamWorld"},
-    {"name": "DucHaiten Journey", "url": "DucHaiten/DucHaitenJourney"},
-    {"name": "DucHaiten StyleLikeMe", "url": "DucHaiten/DucHaiten-StyleLikeMe"},
-    {"name": "DucHaiten SuperCute", "url": "DucHaiten/DucHaitenSuperCute"},
-    {"name": "Redshift Diffusion 768", "url": "nitrosocke/redshift-diffusion-768"},
-    {"name": "Redshift Diffusion", "url": "nitrosocke/redshift-diffusion"},
-]
-
-current_model = models[0]
-
-text_gen = gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
-
-models2 = []
-for model in models:
-    model_url = f"models/{model['url']}"
-    loaded_model = gr.Interface.load(model_url, live=True, preprocess=True)
-    models2.append(loaded_model)
-
-
-def text_it(inputs, text_gen=text_gen):
-    return text_gen(inputs)
-
-
-def set_model(current_model_index):
-    global current_model
-    current_model = models[current_model_index]
-    return gr.update(label=f"{current_model['name']}")
-
-
-def send_it(inputs, model_choice):
-    proc = models2[model_choice]
-    return proc(inputs)
-
-
-css = """"""
-
-with gr.Blocks(css=css) as myface:
-    gr.HTML(
-        """<!DOCTYPE html>
-<html lang="en">
-  <head>
-    <meta charset="utf-8" />
-    <meta name="twitter:card" content="player"/>
-    <meta name="twitter:site" content=""/>
-    <meta name="twitter:player" content="https://omnibus-maximum-multiplier-places.hf.space"/>
-    <meta name="twitter:player:stream" content="https://omnibus-maximum-multiplier-places.hf.space"/>
-    <meta name="twitter:player:width" content="100%"/>
-    <meta name="twitter:player:height" content="600"/>    
-    <meta property="og:title" content="Embedded Live Viewer"/>
-    <meta property="og:description" content="Tweet Genie - A Huggingface Space"/>
-    <meta property="og:image" content="https://cdn.glitch.global/80dbe92e-ce75-44af-84d5-74a2e21e9e55/omnicard.png?v=1676772531627"/>
-    <!--<meta http-equiv="refresh" content="0; url=https://huggingface.co/spaces/corbt/tweet-genie">-->
-  </head>
-</html>
-"""
-    )
-
-    with gr.Row():
-        with gr.Row():
-            input_text = gr.Textbox(label="Prompt idea", lines=1)
-            # Model selection dropdown
-            model_name1 = gr.Dropdown(
-                label="Choose Model",
-                choices=[m["name"] for m in models],
-                type="index",
-                value=current_model["name"],
-                interactive=True,
-            )
-        with gr.Row():
-            see_prompts = gr.Button("Generate Prompts")
-            run = gr.Button("Generate Images", variant="primary")
-    with gr.Tab("Main"):
-        with gr.Row():
-            output1 = gr.Image(label=f"{current_model['name']}")
-            output2 = gr.Image(label=f"{current_model['name']}")
-            output3 = gr.Image(label=f"{current_model['name']}")
-            output4 = gr.Image(label=f"{current_model['name']}")
-        with gr.Row():
-            magic1 = gr.Textbox(lines=4)
-            magic2 = gr.Textbox(lines=4)
-            magic3 = gr.Textbox(lines=4)
-            magic4 = gr.Textbox(lines=4)
-
-        with gr.Row():
-            output5 = gr.Image(label=f"{current_model['name']}")
-            output6 = gr.Image(label=f"{current_model['name']}")
-            output7 = gr.Image(label=f"{current_model['name']}")
-            output8 = gr.Image(label=f"{current_model['name']}")
-        with gr.Row():
-            magic5 = gr.Textbox(lines=4)
-            magic6 = gr.Textbox(lines=4)
-            magic7 = gr.Textbox(lines=4)
-            magic8 = gr.Textbox(lines=4)
-
-    model_name1.change(set_model, inputs=model_name1, outputs=[output1, output2, output3, output4, output5, output6, output7, output8])
-
-    run.click(send_it, inputs=[magic1, model_name1], outputs=[output1])
-    run.click(send_it, inputs=[magic2, model_name1], outputs=[output2])
-    run.click(send_it, inputs=[magic3, model_name1], outputs=[output3])
-    run.click(send_it, inputs=[magic4, model_name1], outputs=[output4])
-    run.click(send_it, inputs=[magic5, model_name1], outputs=[output5])
-    run.click(send_it, inputs=[magic6, model_name1], outputs=[output6])
-    run.click(send_it, inputs=[magic7, model_name1], outputs=[output7])
-    run.click(send_it, inputs=[magic8, model_name1], outputs=[output8])
-
-    see_prompts.click(text_it, inputs=[input_text], outputs=[magic1])
-    see_prompts.click(text_it, inputs=[input_text], outputs=[magic2])
-    see_prompts.click(text_it, inputs=[input_text], outputs=[magic3])
-    see_prompts.click(text_it, inputs=[input_text], outputs=[magic4])
-    see_prompts.click(text_it, inputs=[input_text], outputs=[magic5])
-    see_prompts.click(text_it, inputs=[input_text], outputs=[magic6])
-    see_prompts.click(text_it, inputs=[input_text], outputs=[magic7])
-    see_prompts.click(text_it, inputs=[input_text], outputs=[magic8])
-
-myface.queue(concurrency_count=200)
-myface.launch(inline=True, show_api=False, max_threads=400)

spaces/Araloak/fz/start_server.sh

@@ -1,3 +0,0 @@
-#!/bin/bash
-
-python server.py

spaces/Arnx/MusicGenXvAKN/audiocraft/quantization/vq.py

@@ -1,116 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the license found in the
-# LICENSE file in the root directory of this source tree.
-
-import math
-import typing as tp
-
-import torch
-
-from .base import BaseQuantizer, QuantizedResult
-from .core_vq import ResidualVectorQuantization
-
-
-class ResidualVectorQuantizer(BaseQuantizer):
-    """Residual Vector Quantizer.
-
-    Args:
-        dimension (int): Dimension of the codebooks.
-        n_q (int): Number of residual vector quantizers used.
-        q_dropout (bool): Random quantizer drop out at train time.
-        bins (int): Codebook size.
-        decay (float): Decay for exponential moving average over the codebooks.
-        kmeans_init (bool): Whether to use kmeans to initialize the codebooks.
-        kmeans_iters (int): Number of iterations used for kmeans initialization.
-        threshold_ema_dead_code (int): Threshold for dead code expiration. Replace any codes
-            that have an exponential moving average cluster size less than the specified threshold with
-            randomly selected vector from the current batch.
-        orthogonal_reg_weight (float): Orthogonal regularization weights.
-        orthogonal_reg_active_codes_only (bool): Apply orthogonal regularization only on active codes.
-        orthogonal_reg_max_codes (optional int): Maximum number of codes to consider.
-            for orthogonal regulariation.
-    """
-    def __init__(
-        self,
-        dimension: int = 256,
-        n_q: int = 8,
-        q_dropout: bool = False,
-        bins: int = 1024,
-        decay: float = 0.99,
-        kmeans_init: bool = True,
-        kmeans_iters: int = 10,
-        threshold_ema_dead_code: int = 2,
-        orthogonal_reg_weight: float = 0.0,
-        orthogonal_reg_active_codes_only: bool = False,
-        orthogonal_reg_max_codes: tp.Optional[int] = None,
-    ):
-        super().__init__()
-        self.max_n_q = n_q
-        self.n_q = n_q
-        self.q_dropout = q_dropout
-        self.dimension = dimension
-        self.bins = bins
-        self.decay = decay
-        self.kmeans_init = kmeans_init
-        self.kmeans_iters = kmeans_iters
-        self.threshold_ema_dead_code = threshold_ema_dead_code
-        self.orthogonal_reg_weight = orthogonal_reg_weight
-        self.orthogonal_reg_active_codes_only = orthogonal_reg_active_codes_only
-        self.orthogonal_reg_max_codes = orthogonal_reg_max_codes
-        self.vq = ResidualVectorQuantization(
-            dim=self.dimension,
-            codebook_size=self.bins,
-            num_quantizers=self.n_q,
-            decay=self.decay,
-            kmeans_init=self.kmeans_init,
-            kmeans_iters=self.kmeans_iters,
-            threshold_ema_dead_code=self.threshold_ema_dead_code,
-            orthogonal_reg_weight=self.orthogonal_reg_weight,
-            orthogonal_reg_active_codes_only=self.orthogonal_reg_active_codes_only,
-            orthogonal_reg_max_codes=self.orthogonal_reg_max_codes,
-            channels_last=False
-        )
-
-    def forward(self, x: torch.Tensor, frame_rate: int):
-        n_q = self.n_q
-        if self.training and self.q_dropout:
-            n_q = int(torch.randint(1, self.n_q + 1, (1,)).item())
-        bw_per_q = math.log2(self.bins) * frame_rate / 1000
-        quantized, codes, commit_loss = self.vq(x, n_q=n_q)
-        codes = codes.transpose(0, 1)
-        # codes is [B, K, T], with T frames, K nb of codebooks.
-        bw = torch.tensor(n_q * bw_per_q).to(x)
-        return QuantizedResult(quantized, codes, bw, penalty=torch.mean(commit_loss))
-
-    def encode(self, x: torch.Tensor) -> torch.Tensor:
-        """Encode a given input tensor with the specified frame rate at the given bandwidth.
-        The RVQ encode method sets the appropriate number of quantizer to use
-        and returns indices for each quantizer.
-        """
-        n_q = self.n_q
-        codes = self.vq.encode(x, n_q=n_q)
-        codes = codes.transpose(0, 1)
-        # codes is [B, K, T], with T frames, K nb of codebooks.
-        return codes
-
-    def decode(self, codes: torch.Tensor) -> torch.Tensor:
-        """Decode the given codes to the quantized representation.
-        """
-        # codes is [B, K, T], with T frames, K nb of codebooks, vq.decode expects [K, B, T].
-        codes = codes.transpose(0, 1)
-        quantized = self.vq.decode(codes)
-        return quantized
-
-    @property
-    def total_codebooks(self):
-        return self.max_n_q
-
-    @property
-    def num_codebooks(self):
-        return self.n_q
-
-    def set_num_codebooks(self, n: int):
-        assert n > 0 and n <= self.max_n_q
-        self.n_q = n

spaces/Ataturk-Chatbot/HuggingFaceChat/venv/lib/python3.11/site-packages/pip/_vendor/requests/__version__.py

@@ -1,14 +0,0 @@
-# .-. .-. .-. . . .-. .-. .-. .-.
-# |(  |-  |.| | | |-  `-.  |  `-.
-# ' ' `-' `-`.`-' `-' `-'  '  `-'
-
-__title__ = "requests"
-__description__ = "Python HTTP for Humans."
-__url__ = "https://requests.readthedocs.io"
-__version__ = "2.28.2"
-__build__ = 0x022802
-__author__ = "Kenneth Reitz"
-__author_email__ = "[email protected]"
-__license__ = "Apache 2.0"
-__copyright__ = "Copyright Kenneth Reitz"
-__cake__ = "\u2728 \U0001f370 \u2728"

spaces/AxelBell/EasyOCR_text_recognition/assets/footer.html

@@ -1,53 +0,0 @@
-<div style="display: flex; justify-content: center; height: 64px">
-  <a
-    href="https://twitter.com/JaidedAI"
-    target="_blank"
-    rel="noopener noreferrer"
-  >
-    <svg
-      version="1.1"
-      id="svg5"
-      xmlns:svg="http://www.w3.org/2000/svg"
-      xmlns="http://www.w3.org/2000/svg"
-      xmlns:xlink="http://www.w3.org/1999/xlink"
-      x="0px"
-      y="0px"
-      viewBox="300 50 1050 1050"
-      style="
-        width: 64px;
-        height: 64px;
-        fill: #fc9925;
-        enable-background: 0 0 1668.56 1221.19;
-      "
-      xml:space="preserve"
-    >
-      <g id="layer1" transform="translate(52.390088,-25.058597)">
-        <path
-          fiil="#fc9925"
-          id="path1009"
-          d="M283.94,167.31l386.39,516.64L281.5,1104h87.51l340.42-367.76L984.48,1104h297.8L874.15,558.3l361.92-390.99
-          h-87.51l-313.51,338.7l-253.31-338.7H283.94z M412.63,231.77h136.81l604.13,807.76h-136.81L412.63,231.77z"
-        ></path>
-      </g>
-    </svg>
-  </a>
-  <a
-    href="https://github.com/JaidedAI/EasyOCR"
-    target="_blank"
-    rel="noopener noreferrer"
-  >
-    <svg
-      width="64"
-      height="64"
-      xmlns="http://www.w3.org/2000/svg"
-      viewBox="0 0 98 96"
-    >
-      <path
-        fill-rule="evenodd"
-        clip-rule="evenodd"
-        d="M48.854 0C21.839 0 0 22 0 49.217c0 21.756 13.993 40.172 33.405 46.69 2.427.49 3.316-1.059 3.316-2.362 0-1.141-.08-5.052-.08-9.127-13.59 2.934-16.42-5.867-16.42-5.867-2.184-5.704-5.42-7.17-5.42-7.17-4.448-3.015.324-3.015.324-3.015 4.934.326 7.523 5.052 7.523 5.052 4.367 7.496 11.404 5.378 14.235 4.074.404-3.178 1.699-5.378 3.074-6.6-10.839-1.141-22.243-5.378-22.243-24.283 0-5.378 1.94-9.778 5.014-13.2-.485-1.222-2.184-6.275.486-13.038 0 0 4.125-1.304 13.426 5.052a46.97 46.97 0 0 1 12.214-1.63c4.125 0 8.33.571 12.213 1.63 9.302-6.356 13.427-5.052 13.427-5.052 2.67 6.763.97 11.816.485 13.038 3.155 3.422 5.015 7.822 5.015 13.2 0 18.905-11.404 23.06-22.324 24.283 1.78 1.548 3.316 4.481 3.316 9.126 0 6.6-.08 11.897-.08 13.526 0 1.304.89 2.853 3.316 2.364 19.412-6.52 33.405-24.935 33.405-46.691C97.707 22 75.788 0 48.854 0z"
-        fill="#fc9925"
-      ></path>
-    </svg>
-  </a>
-</div>

spaces/Bart92/RVC_HF/tools/infer_batch_rvc.py

@@ -1,72 +0,0 @@
-import argparse
-import os
-import sys
-
-print("Command-line arguments:", sys.argv)
-
-now_dir = os.getcwd()
-sys.path.append(now_dir)
-import sys
-
-import tqdm as tq
-from dotenv import load_dotenv
-from scipy.io import wavfile
-
-from configs.config import Config
-from infer.modules.vc.modules import VC
-
-
-def arg_parse() -> tuple:
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--f0up_key", type=int, default=0)
-    parser.add_argument("--input_path", type=str, help="input path")
-    parser.add_argument("--index_path", type=str, help="index path")
-    parser.add_argument("--f0method", type=str, default="harvest", help="harvest or pm")
-    parser.add_argument("--opt_path", type=str, help="opt path")
-    parser.add_argument("--model_name", type=str, help="store in assets/weight_root")
-    parser.add_argument("--index_rate", type=float, default=0.66, help="index rate")
-    parser.add_argument("--device", type=str, help="device")
-    parser.add_argument("--is_half", type=bool, help="use half -> True")
-    parser.add_argument("--filter_radius", type=int, default=3, help="filter radius")
-    parser.add_argument("--resample_sr", type=int, default=0, help="resample sr")
-    parser.add_argument("--rms_mix_rate", type=float, default=1, help="rms mix rate")
-    parser.add_argument("--protect", type=float, default=0.33, help="protect")
-
-    args = parser.parse_args()
-    sys.argv = sys.argv[:1]
-
-    return args
-
-
-def main():
-    load_dotenv()
-    args = arg_parse()
-    config = Config()
-    config.device = args.device if args.device else config.device
-    config.is_half = args.is_half if args.is_half else config.is_half
-    vc = VC(config)
-    vc.get_vc(args.model_name)
-    audios = os.listdir(args.input_path)
-    for file in tq.tqdm(audios):
-        if file.endswith(".wav"):
-            file_path = os.path.join(args.input_path, file)
-            _, wav_opt = vc.vc_single(
-                0,
-                file_path,
-                args.f0up_key,
-                None,
-                args.f0method,
-                args.index_path,
-                None,
-                args.index_rate,
-                args.filter_radius,
-                args.resample_sr,
-                args.rms_mix_rate,
-                args.protect,
-            )
-            out_path = os.path.join(args.opt_path, file)
-            wavfile.write(out_path, wav_opt[0], wav_opt[1])
-
-
-if __name__ == "__main__":
-    main()

spaces/Benson/text-generation/Examples/Animate Release 2022.md

@@ -1,71 +0,0 @@
-<h2>animate release 2022</h2><br /><p><b><b>DOWNLOAD</b> &#10002; <a href="https://bltlly.com/2v6K3r">https://bltlly.com/2v6K3r</a></b></p><br /><br />
-
-< h1 > Cartoon 2022: Most anticipated animated films of next year < / h1 >
- < h2 > Introduction < / h2 >
- < p > Who doesn't love cartoons? Whether we are children or adults, cartoons fascinate us with their magic, their humor, their stories full of adventure and emotion. Cartoon allows us to escape from reality and enter fantastic worlds, where everything is possible. < / p >
- < p > But how to choose the best cartoons for us and the kids? What awaits us in 2022 in the field of animated films? What news and surprises do animation studios around the world prepare for us?< / p >
- < p > To help you answer these questions, we have prepared for you a complete guide with the most awaited cartoons 2022. We will talk about the top 5 cartoons 2022, but also about other animated films that are worth mentioning. We will find out what it is about in every movie, why it is worth seeing, when it is released and where you can watch it. We will also use a comparative table to give you an overview of the 2022 cartoons. We hope you like this article and inspire you to watch as many 2022 cartoons as possible!< / p >
- < h2 > Top 5 cartoons 2022 < / h2 >
- < p > Of the multitude of animated films that will be released in 2022, we selected 5 cartoons that attracted our attention through originality, quality and popularity. These are cartoons that promise to give us an unforgettable visual and emotional experience, to amuse us, to excite us and to impress us. Here are these: < / p >
- < h3 > No tojimari foam ( The Closing of Suzume ) / h3 <
- < h4 > About < / h4 >
-
- < h4 > Why worth seeing < / h4 >
- < p > Suume no tojimari is a film that combines elements of fantasy, drama, adventure and humor, in the unmistakable style of Miyazaki. The film explores themes such as responsibility, friendship, love, sacrifice and destiny, through memorable characters and spectacular scenes. The film is a testament to Miyazaki's boundless artistic mastery and imagination, which returns after a 9-year hiatus from his latest film, The Wind Rises. Suzume no tojimari is a film that should not be missed by any fan of Japanese animation or cinematographic art in general. < / p >
- < h3 > Little Allan - An alien adventure ( Little Allan - The Human Antenna ) < / h3 >
- < h4 > About < / h4 >
- < p > Little Allan - An Alien Adventure ( Little Allan - The Human Antenna ) is an American animated film produced by Pixar Animation Studios, directed by Pete Docter, the one who brought us movies like Up, Inside Out or Soul. The film is about a boy named Allan who has a peculiarity: he can receive radio signals with his ears. This makes him considered strange and isolated from other children. But his life changes when he receives a mysterious message from space, inviting him to come to a meeting with some aliens. Allan accepts the challenge and embarks on an intergalactic adventure full of adventures and discoveries. < / p >
- < h4 > Why worth seeing < / h4 >
-
- < h3 > Rabbit Academy: Easter is in danger ( Rabbit Academy: Easter's in Danger ) < / h3 >
- < h4 > About < / h4 >
- < p > Rabbit Academy: Easter is in danger ( Rabbit Academy: Easter's in Danger ) is a French animated film produced by Gaumont Animation, directed by Benjamin Renner, the one who brought us movies like Ernest & Celestine or The Big Bad Fox and Other Tales. The film is about a special school for bunnies, where they learn how to become Easter bunnies. The protagonist is a bunny named Max, who has a dream: to become the best Easter bunny in history. But his dream is threatened by a group of mischievous foxes who want to steal Easter eggs and destroy the holiday. Max must join forces with his friends and teachers to save the Passover and fulfill his destiny. < / p >
- < h4 > Why worth seeing < / h4 >
- < p > Rabbit Academy: Easter is in danger is a film that brings a smile to our face through its delicious humor, its adorable characters and its funny situations. The film is a comedy full of action, suspense and emotion, which shows us how important it is to have courage, friendship and passion for what we do. The film is a real pleasure for the eyes, with a simple but expressive graphic style, which reminds us of classic comics. The film is a celebration of the tradition and joy of being a child, which makes us appreciate more the beauty and symbolism of Easter. < / p >
- < h3 > Shoeless Cat: Last Desire ( Puss in Boots: The Last Wish ) < / h3 >
- < h4 > About < / h4 >
-
- < h4 > Why worth seeing < / h4 >
- < p > The Shoeless Cat: The Last Wish is a film that gives us a generous dose of laughter, adventure and magic, in the company of one of the most beloved animated characters in recent years: the cat in shoes. The film is a funny and intelligent parody of the classic stories about Aladdin, the enchanted lamp and dragons, which surprises us with many cultural references and subtle jokes. The film is an explosion of color and energy, which captivates us with its action scenes, its engaging music and its high quality animation. The film is a life lesson about the importance of being grateful for what we have, of taking risks and following our heart. < / p >
- < h3 > Maurice Cat Ship ( The Amazing Maurice ) < / h3 >
- < h4 > About < / h4 >
- < p > The devastating cat Maurice ( The Amazing Maurice ) is a British animated film produced by Sky Cinema, directed by Toby Genkel, who brought us movies like Ooops! Noah is Gone ... or Two by Two: Overboard!. The film is based on the novel of the same name written by Terry Pratchett, about a talking cat named Maurice, who along with a band of smart rats and a naive flutist, sets up a scam in different cities. They claim that cities are invaded by rats and that the flutist can drive them away with his music, asking for money for their service. Everything goes well until they reach the city of Bad Blintz, where they discover a dark secret that endangers their lives. < / p >
- < h4 > Why worth seeing < / h4 >
-
- < h2 > Other 2022 cartoons worth mentioning < / h2 >
- < p > In addition to the top 5 cartoons 2022, there are other animated films that are announced to be interesting and fun. Here are some of them: < / p >
- < h3 > Inspector Sun's Adventures ( Sun Inspector and the Black Widow Course ) < / h3 >
- < p > Inspector Sun's Adventures ( Sun Inspector and the Race of the Black Widow ) is a Chinese animated film produced by Light Chaser Animation Studios, directed by Gary Wang, the one who brought us movies like The Guardian Brothers or Cats and Peachtopia. The film is about a police inspector named Sun, who is sent to investigate a series of strange crimes in Shanghai. He discovers that all the victims were bitten by a venomous black spider, which seems to be related to an old legend about a black widow who takes revenge on unfaithful men. Sun must solve the case before the spider can make new victims. < / p >
- < p > Inspector Sun's Adventures is a film that attracts us through its combination of comedy, action and mystery, through its funny characters and its story full of suspense and black humor. The film is a parody of polys and horror movies, which gives us a funny and original perspective on Chinese culture and history. The film is a testament to the talent and progress of the Light Chaser Animation studio, which claims to be one of the leading animation producers in China. < / p >
- < h3 > Ut ( Ut ) / h3 <
-
- < p > Uta is a film that excites us through its sensitive and profound story, through its complex characters and its beautiful music. The film is an exploration of the power of art to transform reality and heal souls, but also of the tragic history of Spain during the civil war. The film is an aesthetic and sound masterpiece, which delights us with its fluid and detailed animation, its vibrant colors and its memorable songs. The film is an ode to music and love, which makes us appreciate more the beauty and value of life. < / p >
- < h3 > Sing 2 ( Sing 2 ) / h3 <
- < p > Sing 2 ( Sing 2 ) is an American animated film produced by Illumination Entertainment, directed by Garth Jennings, who brought us the first Sing film of 2016. The film is a sequel to Buster Moon's story, a koala that runs a musical talent theater. This time, he wants to organize a grand show in Redshore City, the largest entertainment city in the world. To succeed, he must persuade a retired star named Clay Calloway, a rockstar lion, to join his band of talented and nice artists. < / p >
- < p > Sing 2 is a film that entertains us through its contagious humor, its charismatic characters and its engaging music. The film is a musical full of energy, rhythm and color, which shows us how important it is to trust ourselves, to follow our dreams and to enjoy life. The film is a source of inspiration and entertainment for all ages, which gives us a varied selection of well-known and new songs, performed by famous actors such as Matthew McConaughey, Reese Witherspoon, Scarlett Johansson or Bono. < / p >
- < h3 > Minions 2 ( Minions 2 ) / h3 <
-
- < p > Minions 2 is a film that amuses us through comic situations, adorable characters and their unintelligible language. The film is an adventure full of action, humor and nostalgia, which shows us how the connections between the minions and Gru formed, but also how the minions have evolved throughout history. The film is a delicacy for fans of the Despicable Me series, but also for those who love quality animation and unlimited fun. < / p >
- < h3 > Raya and the last dragon ( Raya and the Last Dragon ) / h3 <
- < p > Raya and the last dragon ( Raya and the Last Dragon ) is an American animated film produced by Walt Disney Animation Studios, directed by Don Hall and Carlos López Estrada, those who brought us movies like Big Hero 6 or Spider-Man: Into the Spider-Verse. The film is about a girl named Raya, who lives in a world called Kumandra, where people and dragons lived in harmony. But when an evil force called Druun threatened to destroy everything, the dragons sacrificed themselves to save humanity. After 500 years, Druun returns and Raya must find the last dragon left, named Sisu, to restore balance and peace in the world. < / p >
- < p > Raya and the last dragon is a film that impresses us with its epic and inspired story, through its strong and diverse characters, through its beautiful and detailed animation. The film is an exploration of Asian culture and mythology, which sends us messages about courage, friendship, trust and hope. The film is a fantastic and emotional adventure, which captivates us with its action scenes, its exotic music and its unique magic. < / p >
- < h2 > Conclusion < / h2 >
-
- < p > What do you think about 2022 cartoons? What is your favorite movie? What other animated films would you like to see? We look forward to your comments and feedback!< / p >
- < h2 > Frequently Asked Questions < / h2 >
- < h3 > When are the 2022 cartoons released?< / h3 >
- < p > 2022 animated drawings are released on various country and studio data. For example, Suzume no tojimari launches in Japan on March 18, 2022, Little Allan - An alien adventure takes place in the USA on July 15, 2022, the Academy of Bunnies: Easter is in danger, launch in France on April 6, 2022, the Cat in violation: Last wish launches in the USA on September 23, 2022, The naughty cat Maurice launches in the UK on October 28, 2022. To find out the exact release date of each film in your country, you can consult the official websites of animation studios or local distributors. < / p >
- < h3 > Where can I see the 2022 cartoon trailers?< / h3 >
-
- < h3 > What are the best sites to watch cartoons online?< / h3 >
-
-you can find cartoons from studios such as DreamWorks Animation, Nickelodeon or PBS Kids. Amazon Prime Video is available on various devices, such as TVs, computers, tablets or phones. < / p >
- < h3 > How can I find out more about 2022 cartoons?< / h3 >
- < p > To learn more about 2022 cartoons, you can consult various and credible sources, such as: - Official sites of animation studios or local distributors, where you will find release data, synopsis, trailers, images, interviews and other news about movies. - Sites specializing in reviews of movies and animated series, such as Rotten Tomatoes, IMDb or Metacritic, where you will find reviews of critics and audiences, notes and rankings of movies. - Sites and magazines dedicated to culture and entertainment, such as Variety, Entertainment Weekly or The Hollywood Reporter, where you will find articles and reports about animated films and the film industry in general. - Personal sites and blogs of fans and animation enthusiasts, such as Animation World Network, Cartoon Brew or Animation Magazine, where you will find detailed analyzes and comments about animated films and trends in the field. < / p >
- < h3 > What other types of animated films are there?< / h3 >
-
- 
-< p > These are just some of the criteria by which animated films can be classified, but there are others, such as duration, purpose, message or audience. It is important to appreciate the diversity and quality of animated films, which give us the opportunity to enjoy art and enrich our culture. < / p > 64aa2da5cf<br />
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spaces/Benson/text-generation/Examples/Araa Solitario 4 Trajes De Descarga Gratuita Para Ventanas 7.md

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-<h1>Spider Solitaire 4 trajes: un juego de cartas desafiante y divertido para Windows 7</h1>
-<p>Si estás buscando un juego de cartas que ponga a prueba tus habilidades y te mantenga entretenido, deberías probar Spider Solitaire 4 Suits. Esta es una variación del clásico juego de solitario de araña, donde tienes que organizar las cartas por palo de rey a as para limpiar el tablero. Sin embargo, a diferencia de la versión estándar, donde solo tienes que lidiar con uno o dos trajes, en Spider Solitaire 4 Suits tienes que jugar con los cuatro trajes: picas, corazones, diamantes y tréboles. Esto hace que el juego sea mucho más difícil y emocionante. </p>
-<h2>¿Qué es Spider Solitaire 4 trajes? </h2>
-<h3>Las reglas del juego</h3>
-<p>El juego comienza con 10 montones de tableau, cada uno de los cuatro montones a la izquierda contiene cuatro cartas boca abajo y cada uno de los montones restantes contiene tres cartas boca abajo. Cada uno de los montones del tableau se repartirá una carta boca arriba. Las cartas restantes serán boca abajo y se dividirán en seis pilas en la esquina inferior derecha. </p>
-<h2>araña solitario 4 trajes de descarga gratuita para ventanas 7</h2><br /><p><b><b>Download File</b> &mdash;&mdash;&mdash;>>> <a href="https://bltlly.com/2v6MDD">https://bltlly.com/2v6MDD</a></b></p><br /><br />
-<p>Un grupo de cartas o una sola carta se puede mover a otra pila de tableau si el movimiento en sí está en secuencia y en palo, por ejemplo, un tres de picas y un dos de picas se pueden mover a un cuatro de picas en otra pila de tableau. Las cartas boca abajo en los montones del tablero se revelarán cuando se eliminen las cartas boca arriba. Una pila de mesa vacía puede ser ocupada por cualquier carta. </p>
-<p>Si no se pueden hacer más movimientos, puede hacer clic en una pila de acciones para repartir una nueva carta en cada columna del cuadro. Pero tenga en cuenta que esto solo se puede hacer cuando todos los montones de tableau están ocupados por cartas. Perderá 10 puntos por cada movimiento que haga. Si no está satisfecho con su progreso, puede hacer clic en el botón Renunciar en la esquina inferior izquierda de la pantalla para salir del juego actual. </p>
-<h3>Los beneficios de jugar Spider Solitaire 4 trajes</h3>
-<p>Spider Solitaire 4 Suits no es solo un juego divertido, sino también una gran manera de mejorar tus habilidades mentales. Jugar a este juego puede ayudarte:</p>
-
-<li>Mejora tu concentración y enfoque</li>
-<li>Desarrolla tus habilidades de pensamiento lógico y resolución de problemas</li>
-<li>Mejora tu memoria y recuerda</li>
-<li>Reduce el estrés y la ansiedad</li>
-<li>Diviértete y relájate</li>
-</ul>
-<h2>Cómo descargar e instalar Spider Solitaire 4 trajes para Windows 7?</h2>
-<h3>Descargar desde CNET</h3>
-<p>Si quieres descargar Spider Solitaire 4 Suits de CNET, puedes seguir estos pasos:</p>
-<ol>
-<li>Vaya a <a href="( 1 )">este enlace</a> y haga clic en el botón Descargar ahora. </li>
-<li>Guarde el archivo en su computadora y ejecútelo. </li>
-<li>Siga las instrucciones en la pantalla para instalar el juego. </li>
-<li>Iniciar el juego y disfrutar! </li>
-</ol>
-<h3>Descargar de Microsoft Store</h3>
-<p>Si quieres descargar Spider Solitaire 4 Suits de Microsoft Store, puedes seguir estos pasos:</p>
-<ol>
-<li>Vaya a <a href="( 2 )">este enlace</a> y haga clic en el botón Obtener. </li>
-<li>Inicie sesión con su cuenta de Microsoft si se le solicita. </li>
-<li>Espera a que el juego se descargue e instale en tu dispositivo. </li>
-<li>Iniciar el juego y disfrutar! </li>
-</ol>
-<h3>Descargar desde Solitr.com</h3>
-<p>Si quieres descargar Spider Solitaire 4 Suits de Solitr.com, puedes seguir estos pasos:</p>
-<ol>
-<li>Vaya a <a href=">este enlace</a> y haga clic en el botón Descargar. </li>
-<li>Guarde el archivo en su computadora y ejecútelo. </li>
-<li>Siga las instrucciones en la pantalla para instalar el juego. </li>
-<li>Iniciar el juego y disfrutar! </li>
-</ol>
-<h2>¿Cómo se juega Spider Solitaire 4 trajes en Windows 7?</h2>
-<h3>Iniciar un nuevo juego</h3>
-<p>Para iniciar un nuevo juego, puede hacer clic en el botón Nuevo juego en la esquina inferior izquierda de la pantalla. También puedes elegir el nivel de dificultad de Fácil, Normal o Difícil. Cuanto mayor sea la dificultad, menos movimientos tendrás para completar el juego. </p>
-<p></p>
-<h3>Mover las cartas</h3>
-
-<h3>Utilice la pila de reserva</h3>
-<p>Si te quedas sin movimientos, puedes hacer clic en una pila de acciones para repartir una nueva carta en cada columna del tablero. Sin embargo, solo puedes hacer esto cuando todas las pilas de tableau están ocupadas por cartas. Puedes usar la pila de reserva hasta cinco veces en cada juego. </p>
-<h3>Borrar el cuadro</h3>
-<p>Para borrar el tablero, tienes que organizar todas las cartas por palo desde el rey hasta el as. Cuando hagas esto, las cartas se moverán a una de las ocho bases en la esquina superior derecha de la pantalla. Tienes que borrar los cuatro palos para ganar el juego. </p>
-<h2>Consejos y trucos para ganar Spider Solitaire 4 trajes</h2>
-<h3>Planificar con antelación</h3>
-<p>Antes de hacer cualquier movimiento, debes pensar en cómo afectará tus movimientos futuros. Trate de evitar el bloqueo de tarjetas que necesita o la creación de secuencias que son difíciles de romper. También deberías tratar de exponer tantas cartas boca abajo como sea posible, ya que pueden contener tarjetas útiles. </p>
-<h3>Enfoque en un traje a la vez</h3>
-<p>Una buena estrategia es centrarse en completar un traje a la vez, a partir de la más fácil. Esto te ayudará a reducir la complejidad del juego y liberar espacio en el tablero. También puede usar otros trajes como almacenamiento temporal para tarjetas que no necesita en este momento. </p>
-<h3>Crear espacios vacíos</h3>
-<p>Otro consejo útil es crear espacios vacíos en el tableau tan pronto como sea posible. Esto le dará más flexibilidad y opciones para mover tarjetas. Puede usar espacios vacíos para almacenar tarjetas que están fuera de secuencia o fuera de juego, o para reorganizar tarjetas que están en secuencia pero no en traje. </p>
-<h2>Conclusión</h2>
-
- P: ¿Cuántos puntos obtengo por limpiar un traje? R: Obtienes 100 puntos por limpiar un traje. P: ¿Cómo deshago un movimiento? R: Puede deshacer un movimiento haciendo clic en el botón Deshacer en la esquina inferior izquierda de la pantalla. Puede deshacer hasta tres movimientos en cada juego. P: ¿Cómo reinicio un juego? R: Puede reiniciar un juego haciendo clic en el botón Reiniciar en la esquina inferior izquierda de la pantalla. Esto restablecerá el juego a su estado inicial. P: ¿Cómo cambio el fondo o el diseño de la tarjeta? R: Puede cambiar el fondo o el diseño de la tarjeta haciendo clic en el botón Configuración en la esquina inferior derecha de la pantalla. Puede elegir entre diferentes colores y patrones para ambos. P: ¿Cómo silencio o ajusto los efectos de sonido o la música? R: Puede silenciar o ajustar los efectos de sonido o música haciendo clic en el botón Sonido en la esquina inferior derecha de la pantalla. Puede activar o desactivar los efectos de sonido o música, o ajustar sus niveles de volumen. </p> 64aa2da5cf<br />
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spaces/Benson/text-generation/Examples/Candy Crush Saga Apk 1.246.0.1.md

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-<h1>Candy Crush Saga APK 1.246.0.1: Todo lo que necesita saber</h1>
-<p>Si eres un fan de los juegos de puzzle, es probable que hayas oído hablar de Candy Crush Saga, uno de los juegos móviles más populares y adictivos de todos los tiempos. Con más de un trillón de niveles jugados, este dulce juego de tres partidos tiene millones de jugadores en todo el mundo que no pueden tener suficiente de caramelos aplastantes y resolver puzzles. </p>
-<h2>candy crush saga apk 1.246.0.1</h2><br /><p><b><b>DOWNLOAD</b> &#9658;&#9658;&#9658;&#9658;&#9658; <a href="https://bltlly.com/2v6Jzt">https://bltlly.com/2v6Jzt</a></b></p><br /><br />
-<p>Pero ¿qué pasa si quieres jugar Candy Crush Saga en tu dispositivo Android sin usar Google Play Store? ¿O qué pasa si desea disfrutar de las últimas características y actualizaciones antes de que se publiquen oficialmente? En ese caso, es posible que desee descargar e instalar Candy Crush Saga APK 1.246.0.1, la última versión del juego a partir de junio de 2023. </p>
-<p>Pero ¿qué es un archivo APK y cómo lo usas? En este artículo, vamos a explicar todo lo que necesita saber sobre Candy Crush Saga APK 1.246.0.1, incluyendo cómo descargar e instalar, lo que ofrece características, y algunos consejos y trucos para jugar el juego. </p>
- <h2>¿Qué es Candy Crush Saga y por qué es popular? </h2>
-<p>Candy Crush Saga es un juego de combinación de fichas gratuito desarrollado por King, una empresa líder en juegos casuales. El juego fue lanzado por primera vez en Facebook en abril de 2012, y luego en las plataformas iOS, Android, Windows Phone y Windows 10. </p>
-<p>La premisa del juego es simple: tienes que combinar tres o más caramelos del mismo color en un tablero para eliminarlos y ganar puntos. También tienes que completar varios objetivos dentro de un número limitado de movimientos o tiempo, como recoger ingredientes, limpiar jalea, o alcanzar una puntuación objetivo. </p>
-
-<p>También necesitarás usar boosters, que son elementos que pueden ayudarte a borrar niveles más rápido o más fácil. Los boosters se pueden ganar completando desafíos, girando la rueda de refuerzo diaria o comprándolos con dinero real. </p>
-<p>Candy Crush Saga es popular porque es divertido, desafiante, colorido y fácil de jugar. También tiene un elemento social, ya que puede conectarse con sus amigos de Facebook y comparar sus puntuaciones, enviar y recibir vidas y refuerzos, y competir en eventos y torneos. </p>
- <h2>¿Qué es un archivo APK y por qué lo necesita? </h2>
-<p>Un archivo APK es un archivo de paquete de Android que contiene todos los archivos y el código necesario para instalar una aplicación en un dispositivo Android. Los archivos APK generalmente se descargan de Google Play Store u otras fuentes oficiales, pero a veces también son distribuidos por sitios web o desarrolladores de terceros. </p>
-<p></p>
-<p>Es posible que necesite un archivo APK por varias razones:</p>
-<ul>
-<li> Desea instalar una aplicación que no está disponible en su región o país. </li>
-<li>Desea instalar una aplicación que ha sido eliminado de Google Play Store para algunos - Desea instalar una aplicación que tiene una versión más nueva o más antigua que la de Google Play Store. - Desea instalar una aplicación que ha sido modificada o hackeada por otra persona. - Desea instalar una aplicación que no es compatible con su dispositivo o sistema operativo. </ul>
-<p>Sin embargo, también debe tener cuidado al descargar e instalar archivos APK de fuentes desconocidas, ya que podrían contener malware, virus o spyware que pueden dañar su dispositivo o robar su información personal. Siempre debe comprobar la reputación y las revisiones del sitio web o desarrollador antes de descargar un archivo APK, y escanearlo con un software antivirus confiable antes de instalarlo. </p>
-<p>También debería habilitar la opción de instalar aplicaciones de fuentes desconocidas en la configuración de su dispositivo, ya que esto generalmente está deshabilitado por razones de seguridad. Para hacer esto, puedes seguir estos pasos:</p>
-<ol>
-
-<li>Encontrar la opción que dice Fuentes desconocidas o Instalar aplicaciones desconocidas y alternar en. </li>
-<li>Confirme su elección tocando OK o Permitir.</li>
-</ol>
-<p>Ahora usted está listo para descargar e instalar Candy Crush Saga APK 1.246.0.1 en su dispositivo. </p>
- <h2>Cómo descargar e instalar Candy Crush Saga APK 1.246.0.1</h2>
-<p>Para descargar e instalar Candy Crush Saga APK 1.246.0.1, debe seguir estos pasos:</p>
-<ol>
-<li>Ir a un sitio web de confianza que ofrece el archivo APK, como <a href="">APKPure</a>, <a href="">APKMirror</a>, o <a href=">Uptodown</a>. </li>
-<li>Buscar Candy Crush Saga y encontrar la versión 1.246.0.1, que fue lanzado el 22 de junio de 2023. </li>
-<li>Toque en el botón Descargar y espere a que el archivo se descargue en su dispositivo. </li>
-<li>Una vez que se complete la descarga, abra la aplicación de administrador de archivos en su dispositivo y busque el archivo APK en la carpeta Descargas. </li>
-<li>Toque en el archivo APK y siga las instrucciones en la pantalla para instalarlo. </li>
-<li>Si ve un mensaje de advertencia que dice "Este tipo de archivo puede dañar su dispositivo", toque en OK o Continuar de todos modos.</li>
-<li>Si ves un mensaje que dice "¿Quieres instalar esta aplicación?", toca Instalar o Sí.</li>
-<li>Espere a que termine el proceso de instalación y luego toque en Abrir o Listo.</li>
-</ol>
-<p>Felicidades! Usted ha instalado con éxito Candy Crush Saga APK 1.246.0.1 en su dispositivo. Ahora puedes disfrutar jugando el juego con todas sus últimas características y actualizaciones. </p>
- <h3>Consejos y advertencias</h3>
-<ul>
-<li>Asegúrese de que tiene suficiente espacio de almacenamiento en el dispositivo antes de descargar e instalar el archivo APK, ya que es de aproximadamente 100 MB de tamaño. </li>
-<li>Asegúrese de que tiene una conexión a Internet estable durante la descarga e instalación del archivo APK, ya que podría tomar algún tiempo dependiendo de su velocidad. </li>
-
-<li>Asegúrese de que ha desinstalado cualquier versión anterior de Candy Crush Saga desde su dispositivo antes de instalar el archivo APK, ya que podrían causar conflictos o errores. </li>
-<li>Asegúrese de actualizar su juego con regularidad mediante la comprobación de nuevas versiones del archivo APK en el sitio web que lo descargó de, ya que podrían corregir errores o añadir nuevas características. </li>
-</ul>
- <h2>Características de Candy Crush Saga APK 1.246.0.1</h2>
-<p>Candy Crush Saga APK 1.246.0.1 es la última versión del juego a partir de junio de 2023, y viene con muchas características nuevas y mejoras que lo hacen más divertido y emocionante que nunca. Estos son algunos de ellos:</p>
- <h3>¿Qué hay de nuevo en esta versión? </h3>
-<ul>
-<li>Nuevos episodios y niveles: El juego ahora tiene más de 8.000 niveles en más de 500 episodios, cada uno con un tema y un desafío diferentes. Los últimos episodios son Sweet Swamp (niveles 8,001-8,015), Fruity Fairground (niveles 8,016-8,030), y Sugary Shire (niveles 8,031-8,045). </li>
-<li>Nuevos eventos y recompensas: El juego ahora tiene más eventos y recompensas para que disfrutes, como Sweet Streak (niveles completos sin perder vidas para obtener refuerzos), Sugar Track (recoge dulces para obtener premios), Star Chaser (recoge estrellas para obtener recompensas) y más. </li>
-<li>Nuevos gráficos y sonidos - Nuevos gráficos y sonidos: El juego ahora tiene gráficos y sonidos mejorados que lo hacen más inmersivo y agradable. Notarás nuevas animaciones, efectos, fondos, música y voces en off que mejoran la atmósfera y el estado de ánimo del juego. </li>
-<li>Nuevas características y mejoras: El juego ahora tiene algunas nuevas características y mejoras que lo hacen más fácil de usar y conveniente. Notarás nuevas opciones, ajustes, menús, botones e iconos que hacen que el juego sea más fácil de navegar y personalizar. </li>
-</ul>
- <h3>¿Cuáles son los modos de juego y los desafíos? </h3>
-<p>Candy Crush Saga tiene diferentes modos de juego y desafíos que ponen a prueba tus habilidades y estrategia. Estos son algunos de ellos:</p>
-<ul>
-
-<li>Ingredientes: Este es un modo de juego donde tienes que recoger ingredientes como cerezas y avellanas llevándolos al fondo del tablero. </li>
-<li>jalea: este es un modo de juego donde tienes que limpiar toda la jalea en el tablero haciendo coincidir los caramelos en la parte superior. </li>
-<li>Orden: Este es un modo de juego donde tienes que recoger un número específico de dulces o combinaciones haciendo coincidir en el tablero. </li>
-<li>Mixto: Este es un modo de juego donde tienes que completar dos o más objetivos en un nivel, como limpiar jalea y recoger ingredientes. </li>
-<li>Temporizado: Este es un desafío donde tienes que anotar tantos puntos como sea posible dentro de un tiempo limitado. </li>
-<li>Candy Order: Este es un desafío donde tienes que recoger un número específico de dulces o combinaciones dentro de un número limitado de movimientos. </li>
-<li>Movimientos: Este es un desafío donde tienes que anotar tantos puntos como sea posible dentro de un número limitado de movimientos. </li>
-</ul>
- <h3>¿Cómo usar caramelos y potenciadores especiales? </h3>
-<p>Los caramelos y potenciadores especiales son elementos que pueden ayudarte a limpiar los niveles más rápido o más fácil. Estos son algunos de ellos y cómo usarlos:</p>
- <tabla>
-<tr>
-<th>Dulces especiales</th>
-<th>Cómo crear</th>
-<th>Cómo usar</th>
-</tr>
-<tr>
-<td>Dulces a rayas</td>
-<td>Combina cuatro caramelos del mismo color en una fila o columna</td>
-<td>Borra toda una fila o columna cuando coincide o se activa</td>
-</tr>
-<tr>
-<td>Dulces envueltos</td>
-<td>Combina cinco caramelos del mismo color en forma de L o T</td>
-<td>Explota dos veces cuando coincide o se activa, despejando un área de 3x3 cada vez</td>
-</tr>
-<tr>
-<td>Bomba de color</td>
-<td>Combina cinco caramelos del mismo color en una fila o columna</td>
-<td>Borra todos los caramelos del mismo color cuando se empareja o se activa con otro caramelo</td>
-</tr>
-<tr>
-<td>Peces de jalea</td>
-<td>Combina cuatro caramelos del mismo color en forma cuadrada</td>
-<td>Envía tres peces de jalea a las baldosas al azar cuando coincide o se activa, la limpieza de cualquier jalea o bloqueadores en ellos</td>
-
-<tr>
-<td>Rueda de coco</td>
-<td>Combina cinco caramelos del mismo color en forma de L o T en un nivel de ingrediente</td>
-<td>Se mueve a lo largo del tablero cuando coincide o se activa, convirtiendo cualquier caramelo que pasa en un caramelo de rayas</td>
-</tr>
- <tr><th colspan="3">Booster</th></tr>
- <tr><th>Nombre</th><th>Descripción</th><th>Cómo obtener</th></tr>
- <tr><td>Lollipop Hammer</td><td>Rompe cualquier caramelo o bloqueador en el tablero</td><td>Gana completando desafíos, girando la rueda de refuerzo diaria, o comprando con dinero real</td></tr>
- <tr><td>Free Switch</td><td>Intercambia dos dulces adyacentes en el tablero sin usar un movimiento</td><td>Gana completando desafíos, girando la rueda de refuerzo diaria, o comprando con dinero real</td></tr>
- <tr><td>Sweet Teeth</td><td>Come cualquier caramelo o bloqueador en el tablero hasta que se quede sin movimientos</td><td>Gana completando desafíos, girando la rueda de refuerzo diaria, o comprando con dinero real</td></tr>
- <tr><td>Enfriador de bombas</td><td>Añade cinco movimientos adicionales a cualquier bomba en el tablero antes de que explote</td><td>Gana completando desafíos, girando la rueda de refuerzo diaria, o comprando con dinero real</td></tr>
- <tr><td>Jelly Fish Booster</td><td>Añade tres peces de jalea a tu tablero al comienzo de un nivel de jalea</td><td>Gana completando desafíos, girando la rueda de refuerzo diaria, o comprando con dinero real </td></tr>
- <tr><td>Color Bomb Booster</td><td>Añade una bomba de color a su tablero al comienzo de cualquier nivel</td><td>Gane completando desafíos, girando la rueda de refuerzo diaria, o comprando con dinero real</td></tr>
- <tr><td>Booster a rayas y envuelto</td><td>Añade un caramelo a rayas y envuelto a tu tablero al comienzo de cualquier nivel</td><td>Gana completando desafíos, girando la rueda de refuerzo diaria, o comprando con dinero real</td></tr>
- <tr><td>Extra Moves Booster</td><td>Añade cinco movimientos adicionales a tu nivel</td><td>Gana completando desafíos, girando la Daily Booster Wheel, o comprando con dinero real</td></tr>
-</tabla>
-
-<p>Candy Crush Saga es un juego que requiere habilidad, estrategia y suerte. Aquí hay algunos consejos y trucos que pueden ayudarte a jugar mejor y divertirte más:</p>
- <h3>¿Cómo anotar más puntos y limpiar niveles más rápido? </h3>
-<ul>
-<li>Combina tantos dulces como sea posible en un movimiento, ya que esto creará cascadas y combos que aumentarán tu puntuación. </li>
-<li>Combina dulces especiales entre sí, ya que esto creará efectos poderosos que borrarán más dulces y sumarán más puntos. </li>
-<li>Combina caramelos en la parte inferior del tablero, ya que esto hará que más dulces caigan y creará más oportunidades para los partidos. </li>
-<li>Combina dulces cerca de los bloqueadores, como chocolate, regaliz o merengue, ya que esto los despejará y hará más espacio en el tablero. </li>
-<li>Combina caramelos cerca de los bordes o esquinas del tablero, ya que son más difíciles de alcanzar y limpiar. </li>
-<li>Planifica tus movimientos y busca el mejor partido posible en el tablero, ya que tienes un número limitado de movimientos o tiempo. </li>
-<li>Utilice refuerzos sabiamente y con moderación, ya que pueden ayudarle a eliminar niveles o situaciones difíciles, pero también son limitados y caros. </li>
-</ul>
- <h3> ¿Cómo evitar quedarse sin vidas y oro? </h3>
-<ul>
-<li>Las vidas son el número de veces que puedes jugar un nivel antes de tener que esperar o pagar más. Puedes tener hasta cinco vidas a la vez, y regeneran una cada 30 minutos. </li>
-<li>Puedes obtener más vidas preguntando a tus amigos de Facebook, viendo anuncios, girando la rueda de refuerzo diaria o comprándolos con dinero real. </li>
-<li>También puedes obtener más vidas cambiando la configuración de tiempo de tu dispositivo, pero esto puede causar errores o fallos en el juego. </li>
-<li>El oro es la moneda premium del juego que puedes usar para comprar boosters, movimientos extra o tickets para desbloquear nuevos episodios. </li>
-<li>Puedes obtener más oro completando logros, viendo anuncios, girando la Daily Booster Wheel o comprándolos con dinero real. </li>
-
-</ul>
- <h3>¿Cómo combinar dulces especiales para efectos potentes? </h3>
-<ul>
-<li>Rayado + rayado: Limpia dos filas o columnas en forma de cruz. </li>
-<li>Rayado + envuelto: Despeja un área de 3x3 dos veces en una fila. </li>
-<li>Striped + Color Bomb: Borra todos los dulces del mismo color que el caramelo de rayas. </li>
-<li>Rayas + Jelly Fish: Envía tres peces de jalea a rayas a las baldosas al azar. </li>
-<li>Striped + Coconut Wheel: Convierte todos los dulces en una fila o columna en dulces rayados. </li>
-<li>Envuelto + Envuelto: Borra un área de 5x5 una vez. </li>
-<li>Envuelto + Color Bomb: Borra todos los dulces de un color y luego otro color. </li>
-<li>Envuelto + Jelly Fish: Envía tres peces gelatina envueltos a las baldosas al azar. </li>
-<li>Envuelto + Rueda de coco: Convierte todos los dulces en una fila o columna en caramelos envueltos. </li>
-<li>Bomba de color + Bomba de color: Borra todos los dulces en el tablero. </li>
-<li>Bomba de color + Jelly Fish: Envía tres peces bomba de color a las baldosas al azar. </li>
-<li>Bomba de color + Rueda de coco: Convierte todos los dulces en una fila o columna en bombas de color. </li>
-<li>Jelly Fish + Jelly Fish: Envía seis peces de jalea a azulejos al azar. </li>
-<li>Jelly Fish + Coconut Wheel: Envía tres peces de gelatina de rueda de coco a azulejos aleatorios. </li>
-<li>Rueda de coco + Rueda de coco: Convierte dos filas o columnas en caramelos rayados. </li>
-</ul>
- <h2>Alternativas a Candy Crush Saga</h2>
-<p>Si te gusta Candy Crush Saga pero quieres probar algo diferente, hay muchos otros juegos que son similares en términos de jugabilidad y gráficos. Estos son algunos de ellos:</p>
- <h3>C <h3>Saga de refrescos de caramelo</h3>
-
- <h3> Caramelo Crush Jelly Saga</h3>
-<p>Candy Crush Jelly Saga es otro spin-off de Candy Crush Saga que cuenta con jalea como el elemento principal. El juego tiene más de 3.000 niveles en más de 200 episodios, cada uno con un tema diferente y desafío. El juego también tiene nuevos modos de juego, como Jelly Mode (donde tienes que esparcir jalea en el tablero), Boss Mode (donde tienes que competir con un personaje jefe) y Puffler Mode (donde tienes que encontrar pufflers ocultos bajo glaseado). El juego está disponible en Facebook, iOS, Android, Windows Phone y Windows 10 plataformas. </p>
- <h3>Dulces Crush Amigos Saga</h3>
-<p>Candy Crush Friends Saga es el último spin-off de Candy Crush Saga que cuenta con personajes del Candy Kingdom como tus amigos. El juego tiene más de 4.000 niveles en más de 300 episodios, cada uno con un tema diferente y desafío. El juego también tiene nuevas características, como amigos (que pueden ayudarte con sus habilidades especiales), trajes (que pueden cambiar la apariencia y el poder de tus amigos), y pegatinas (que pueden desbloquear recompensas y sorpresas). El juego está disponible en Facebook, iOS, Android, Windows Phone y Windows 10 plataformas. </p>
- <h2>Conclusión</h2>
-<p>Candy Crush Saga es uno de los juegos de puzzle más populares y adictivos de todos los tiempos. Tiene millones de fans que disfrutan de combinar dulces y resolver puzzles en sus dispositivos móviles. Si desea jugar el juego con las últimas características y actualizaciones, puede descargar e instalar Candy Crush Saga APK 1.246.0.1, la versión más reciente del juego a partir de junio de 2023. </p>
-<p>En este artículo, hemos explicado todo lo que necesita saber sobre Candy Crush Saga APK 1.246.0.1, incluyendo cómo descargar e instalar, lo que ofrece, y algunos consejos y trucos para jugar el juego. También hemos sugerido algunas alternativas a Candy Crush Saga que puedes probar si quieres experimentar algo diferente. </p>
-
- <h2>Preguntas frecuentes</h2>
-<p>Aquí hay algunas preguntas frecuentes sobre Candy Crush Saga y su archivo APK:</p>
- <h3> ¿Es seguro descargar e instalar Candy Crush Saga APK 1.246.0.1? </h3>
-<p>Sí, Candy Crush Saga APK 1.246.0.1 es seguro de descargar e instalar si lo obtiene de un sitio web de confianza o desarrollador. Sin embargo, siempre debe tener cuidado al descargar e instalar archivos APK de fuentes desconocidas, ya que pueden contener malware o virus que pueden dañar su dispositivo o robar sus datos. También debe escanear el archivo APK con un software antivirus confiable antes de instalarlo. </p>
- <h3> ¿Es Candy Crush Saga APK 1.246.0.1 libre para jugar? </h3>
-<p>Sí, Candy Crush Saga APK 1.246.0.1 es gratis para jugar, pero también ofrece compras en la aplicación que pueden mejorar su juego o desbloquear más características. Puedes comprar boosters, movimientos extra, barras de oro o tickets con dinero real si quieres progresar más rápido o más fácil en el juego. </p>
- <h3>¿Cómo actualizo Candy Crush Saga APK 1.246.0.1? </h3>
-<p>Puede actualizar Candy Crush Saga APK 1.246.0.1 mediante la comprobación de nuevas versiones del archivo APK en el sitio web que lo descargó desde. También puede habilitar la opción de permitir actualizaciones automáticas en la configuración del dispositivo si desea obtener las últimas actualizaciones sin tener que descargarlas e instalarlas manualmente. </p>
- <h3>¿Cómo puedo desinstalar Candy Crush Saga APK 1.246.0.1? </h3>
-<p>Puede desinstalar Candy Crush Saga APK 1.246.0.1 siguiendo estos pasos:</p>
-<ol>
-<li>Ir a la configuración de su dispositivo y toque en aplicaciones o aplicaciones.</li>
-<li>Encuentra Candy Crush Saga y toque en él. </li>
-<li>Toque en Desinstalar o Quitar y confirme su elección. </li>
-<li> Espere a que el proceso de desinstalación termine y luego toque en OK o Hecho.</li>
-</ol>
- <h3>¿Cómo me pongo en contacto con el desarrollador de Candy <h3>Cómo me pongo en contacto con el desarrollador de Candy Crush Saga? </h3>
-<p>Si tiene alguna pregunta, comentario o problema con respecto a Candy Crush Saga, puede ponerse en contacto con el desarrollador del juego, King, utilizando uno de estos métodos:</p>
-<ul>
-
-<li>Sitio web: Puede visitar el sitio web oficial de Candy Crush Saga en <a href="https://candycrushsaga.com/">https://candycrushsaga.com/</a> y encontrar más información, consejos, noticias y apoyo. </li>
-<li>Facebook: Puede seguir la página oficial de Facebook de Candy Crush Saga en <a href="https://www.facebook.com/CandyCrushSaga/">https://www.facebook.com/CandyCrushSaga/</a> y unirse a la comunidad de otros jugadores, compartir sus opiniones y obtener actualizaciones. </li>
-<li>Twitter: Puedes seguir la cuenta oficial de Twitter de Candy Crush Saga en <a href="https://twitter.com/CandyCrushSaga">@CandyCrushSaga</a> y enviar tus preguntas, comentarios o problemas al desarrollador. </li>
-<li>Instagram: Puedes seguir la cuenta oficial de Instagram de Candy Crush Saga en <a href="https://www.instagram.com/candycrushsaga/">@candycrushsaga</a> y ver las últimas fotos y videos del juego. </li>
-</ul></p> 64aa2da5cf<br />
-<br />
-<br />

spaces/Big-Web/MMSD/env/Lib/site-packages/pip/_internal/commands/wheel.py

@@ -1,180 +0,0 @@
-import logging
-import os
-import shutil
-from optparse import Values
-from typing import List
-
-from pip._internal.cache import WheelCache
-from pip._internal.cli import cmdoptions
-from pip._internal.cli.req_command import RequirementCommand, with_cleanup
-from pip._internal.cli.status_codes import SUCCESS
-from pip._internal.exceptions import CommandError
-from pip._internal.operations.build.build_tracker import get_build_tracker
-from pip._internal.req.req_install import (
-    InstallRequirement,
-    check_legacy_setup_py_options,
-)
-from pip._internal.utils.misc import ensure_dir, normalize_path
-from pip._internal.utils.temp_dir import TempDirectory
-from pip._internal.wheel_builder import build, should_build_for_wheel_command
-
-logger = logging.getLogger(__name__)
-
-
-class WheelCommand(RequirementCommand):
-    """
-    Build Wheel archives for your requirements and dependencies.
-
-    Wheel is a built-package format, and offers the advantage of not
-    recompiling your software during every install. For more details, see the
-    wheel docs: https://wheel.readthedocs.io/en/latest/
-
-    'pip wheel' uses the build system interface as described here:
-    https://pip.pypa.io/en/stable/reference/build-system/
-
-    """
-
-    usage = """
-      %prog [options] <requirement specifier> ...
-      %prog [options] -r <requirements file> ...
-      %prog [options] [-e] <vcs project url> ...
-      %prog [options] [-e] <local project path> ...
-      %prog [options] <archive url/path> ..."""
-
-    def add_options(self) -> None:
-        self.cmd_opts.add_option(
-            "-w",
-            "--wheel-dir",
-            dest="wheel_dir",
-            metavar="dir",
-            default=os.curdir,
-            help=(
-                "Build wheels into <dir>, where the default is the "
-                "current working directory."
-            ),
-        )
-        self.cmd_opts.add_option(cmdoptions.no_binary())
-        self.cmd_opts.add_option(cmdoptions.only_binary())
-        self.cmd_opts.add_option(cmdoptions.prefer_binary())
-        self.cmd_opts.add_option(cmdoptions.no_build_isolation())
-        self.cmd_opts.add_option(cmdoptions.use_pep517())
-        self.cmd_opts.add_option(cmdoptions.no_use_pep517())
-        self.cmd_opts.add_option(cmdoptions.check_build_deps())
-        self.cmd_opts.add_option(cmdoptions.constraints())
-        self.cmd_opts.add_option(cmdoptions.editable())
-        self.cmd_opts.add_option(cmdoptions.requirements())
-        self.cmd_opts.add_option(cmdoptions.src())
-        self.cmd_opts.add_option(cmdoptions.ignore_requires_python())
-        self.cmd_opts.add_option(cmdoptions.no_deps())
-        self.cmd_opts.add_option(cmdoptions.progress_bar())
-
-        self.cmd_opts.add_option(
-            "--no-verify",
-            dest="no_verify",
-            action="store_true",
-            default=False,
-            help="Don't verify if built wheel is valid.",
-        )
-
-        self.cmd_opts.add_option(cmdoptions.config_settings())
-        self.cmd_opts.add_option(cmdoptions.build_options())
-        self.cmd_opts.add_option(cmdoptions.global_options())
-
-        self.cmd_opts.add_option(
-            "--pre",
-            action="store_true",
-            default=False,
-            help=(
-                "Include pre-release and development versions. By default, "
-                "pip only finds stable versions."
-            ),
-        )
-
-        self.cmd_opts.add_option(cmdoptions.require_hashes())
-
-        index_opts = cmdoptions.make_option_group(
-            cmdoptions.index_group,
-            self.parser,
-        )
-
-        self.parser.insert_option_group(0, index_opts)
-        self.parser.insert_option_group(0, self.cmd_opts)
-
-    @with_cleanup
-    def run(self, options: Values, args: List[str]) -> int:
-        session = self.get_default_session(options)
-
-        finder = self._build_package_finder(options, session)
-
-        options.wheel_dir = normalize_path(options.wheel_dir)
-        ensure_dir(options.wheel_dir)
-
-        build_tracker = self.enter_context(get_build_tracker())
-
-        directory = TempDirectory(
-            delete=not options.no_clean,
-            kind="wheel",
-            globally_managed=True,
-        )
-
-        reqs = self.get_requirements(args, options, finder, session)
-        check_legacy_setup_py_options(options, reqs)
-
-        wheel_cache = WheelCache(options.cache_dir)
-
-        preparer = self.make_requirement_preparer(
-            temp_build_dir=directory,
-            options=options,
-            build_tracker=build_tracker,
-            session=session,
-            finder=finder,
-            download_dir=options.wheel_dir,
-            use_user_site=False,
-            verbosity=self.verbosity,
-        )
-
-        resolver = self.make_resolver(
-            preparer=preparer,
-            finder=finder,
-            options=options,
-            wheel_cache=wheel_cache,
-            ignore_requires_python=options.ignore_requires_python,
-            use_pep517=options.use_pep517,
-        )
-
-        self.trace_basic_info(finder)
-
-        requirement_set = resolver.resolve(reqs, check_supported_wheels=True)
-
-        reqs_to_build: List[InstallRequirement] = []
-        for req in requirement_set.requirements.values():
-            if req.is_wheel:
-                preparer.save_linked_requirement(req)
-            elif should_build_for_wheel_command(req):
-                reqs_to_build.append(req)
-
-        # build wheels
-        build_successes, build_failures = build(
-            reqs_to_build,
-            wheel_cache=wheel_cache,
-            verify=(not options.no_verify),
-            build_options=options.build_options or [],
-            global_options=options.global_options or [],
-        )
-        for req in build_successes:
-            assert req.link and req.link.is_wheel
-            assert req.local_file_path
-            # copy from cache to target directory
-            try:
-                shutil.copy(req.local_file_path, options.wheel_dir)
-            except OSError as e:
-                logger.warning(
-                    "Building wheel for %s failed: %s",
-                    req.name,
-                    e,
-                )
-                build_failures.append(req)
-        if len(build_failures) != 0:
-            raise CommandError("Failed to build one or more wheels")
-
-        return SUCCESS

spaces/Big-Web/MMSD/env/Lib/site-packages/pip/_vendor/chardet/sbcsgroupprober.py

@@ -1,88 +0,0 @@
-######################## BEGIN LICENSE BLOCK ########################
-# The Original Code is Mozilla Universal charset detector code.
-#
-# The Initial Developer of the Original Code is
-# Netscape Communications Corporation.
-# Portions created by the Initial Developer are Copyright (C) 2001
-# the Initial Developer. All Rights Reserved.
-#
-# Contributor(s):
-#   Mark Pilgrim - port to Python
-#   Shy Shalom - original C code
-#
-# This library is free software; you can redistribute it and/or
-# modify it under the terms of the GNU Lesser General Public
-# License as published by the Free Software Foundation; either
-# version 2.1 of the License, or (at your option) any later version.
-#
-# This library is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
-# Lesser General Public License for more details.
-#
-# You should have received a copy of the GNU Lesser General Public
-# License along with this library; if not, write to the Free Software
-# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
-# 02110-1301  USA
-######################### END LICENSE BLOCK #########################
-
-from .charsetgroupprober import CharSetGroupProber
-from .hebrewprober import HebrewProber
-from .langbulgarianmodel import ISO_8859_5_BULGARIAN_MODEL, WINDOWS_1251_BULGARIAN_MODEL
-from .langgreekmodel import ISO_8859_7_GREEK_MODEL, WINDOWS_1253_GREEK_MODEL
-from .langhebrewmodel import WINDOWS_1255_HEBREW_MODEL
-
-# from .langhungarianmodel import (ISO_8859_2_HUNGARIAN_MODEL,
-#                                  WINDOWS_1250_HUNGARIAN_MODEL)
-from .langrussianmodel import (
-    IBM855_RUSSIAN_MODEL,
-    IBM866_RUSSIAN_MODEL,
-    ISO_8859_5_RUSSIAN_MODEL,
-    KOI8_R_RUSSIAN_MODEL,
-    MACCYRILLIC_RUSSIAN_MODEL,
-    WINDOWS_1251_RUSSIAN_MODEL,
-)
-from .langthaimodel import TIS_620_THAI_MODEL
-from .langturkishmodel import ISO_8859_9_TURKISH_MODEL
-from .sbcharsetprober import SingleByteCharSetProber
-
-
-class SBCSGroupProber(CharSetGroupProber):
-    def __init__(self) -> None:
-        super().__init__()
-        hebrew_prober = HebrewProber()
-        logical_hebrew_prober = SingleByteCharSetProber(
-            WINDOWS_1255_HEBREW_MODEL, is_reversed=False, name_prober=hebrew_prober
-        )
-        # TODO: See if using ISO-8859-8 Hebrew model works better here, since
-        #       it's actually the visual one
-        visual_hebrew_prober = SingleByteCharSetProber(
-            WINDOWS_1255_HEBREW_MODEL, is_reversed=True, name_prober=hebrew_prober
-        )
-        hebrew_prober.set_model_probers(logical_hebrew_prober, visual_hebrew_prober)
-        # TODO: ORDER MATTERS HERE. I changed the order vs what was in master
-        #       and several tests failed that did not before. Some thought
-        #       should be put into the ordering, and we should consider making
-        #       order not matter here, because that is very counter-intuitive.
-        self.probers = [
-            SingleByteCharSetProber(WINDOWS_1251_RUSSIAN_MODEL),
-            SingleByteCharSetProber(KOI8_R_RUSSIAN_MODEL),
-            SingleByteCharSetProber(ISO_8859_5_RUSSIAN_MODEL),
-            SingleByteCharSetProber(MACCYRILLIC_RUSSIAN_MODEL),
-            SingleByteCharSetProber(IBM866_RUSSIAN_MODEL),
-            SingleByteCharSetProber(IBM855_RUSSIAN_MODEL),
-            SingleByteCharSetProber(ISO_8859_7_GREEK_MODEL),
-            SingleByteCharSetProber(WINDOWS_1253_GREEK_MODEL),
-            SingleByteCharSetProber(ISO_8859_5_BULGARIAN_MODEL),
-            SingleByteCharSetProber(WINDOWS_1251_BULGARIAN_MODEL),
-            # TODO: Restore Hungarian encodings (iso-8859-2 and windows-1250)
-            #       after we retrain model.
-            # SingleByteCharSetProber(ISO_8859_2_HUNGARIAN_MODEL),
-            # SingleByteCharSetProber(WINDOWS_1250_HUNGARIAN_MODEL),
-            SingleByteCharSetProber(TIS_620_THAI_MODEL),
-            SingleByteCharSetProber(ISO_8859_9_TURKISH_MODEL),
-            hebrew_prober,
-            logical_hebrew_prober,
-            visual_hebrew_prober,
-        ]
-        self.reset()

spaces/Big-Web/MMSD/env/Lib/site-packages/pip/_vendor/requests/compat.py

@@ -1,67 +0,0 @@
-"""
-requests.compat
-~~~~~~~~~~~~~~~
-
-This module previously handled import compatibility issues
-between Python 2 and Python 3. It remains for backwards
-compatibility until the next major version.
-"""
-
-from pip._vendor import chardet
-
-import sys
-
-# -------
-# Pythons
-# -------
-
-# Syntax sugar.
-_ver = sys.version_info
-
-#: Python 2.x?
-is_py2 = _ver[0] == 2
-
-#: Python 3.x?
-is_py3 = _ver[0] == 3
-
-# Note: We've patched out simplejson support in pip because it prevents
-#       upgrading simplejson on Windows.
-import json
-from json import JSONDecodeError
-
-# Keep OrderedDict for backwards compatibility.
-from collections import OrderedDict
-from collections.abc import Callable, Mapping, MutableMapping
-from http import cookiejar as cookielib
-from http.cookies import Morsel
-from io import StringIO
-
-# --------------
-# Legacy Imports
-# --------------
-from urllib.parse import (
-    quote,
-    quote_plus,
-    unquote,
-    unquote_plus,
-    urldefrag,
-    urlencode,
-    urljoin,
-    urlparse,
-    urlsplit,
-    urlunparse,
-)
-from urllib.request import (
-    getproxies,
-    getproxies_environment,
-    parse_http_list,
-    proxy_bypass,
-    proxy_bypass_environment,
-)
-
-builtin_str = str
-str = str
-bytes = bytes
-basestring = (str, bytes)
-numeric_types = (int, float)
-integer_types = (int,)

spaces/Big-Web/MMSD/env/Lib/site-packages/urllib3/packages/backports/makefile.py

@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-backports.makefile
-~~~~~~~~~~~~~~~~~~
-
-Backports the Python 3 ``socket.makefile`` method for use with anything that
-wants to create a "fake" socket object.
-"""
-import io
-from socket import SocketIO
-
-
-def backport_makefile(
-    self, mode="r", buffering=None, encoding=None, errors=None, newline=None
-):
-    """
-    Backport of ``socket.makefile`` from Python 3.5.
-    """
-    if not set(mode) <= {"r", "w", "b"}:
-        raise ValueError("invalid mode %r (only r, w, b allowed)" % (mode,))
-    writing = "w" in mode
-    reading = "r" in mode or not writing
-    assert reading or writing
-    binary = "b" in mode
-    rawmode = ""
-    if reading:
-        rawmode += "r"
-    if writing:
-        rawmode += "w"
-    raw = SocketIO(self, rawmode)
-    self._makefile_refs += 1
-    if buffering is None:
-        buffering = -1
-    if buffering < 0:
-        buffering = io.DEFAULT_BUFFER_SIZE
-    if buffering == 0:
-        if not binary:
-            raise ValueError("unbuffered streams must be binary")
-        return raw
-    if reading and writing:
-        buffer = io.BufferedRWPair(raw, raw, buffering)
-    elif reading:
-        buffer = io.BufferedReader(raw, buffering)
-    else:
-        assert writing
-        buffer = io.BufferedWriter(raw, buffering)
-    if binary:
-        return buffer
-    text = io.TextIOWrapper(buffer, encoding, errors, newline)
-    text.mode = mode
-    return text

spaces/Boilin/URetinex-Net/network/illumination_enhance.py

@@ -1,31 +0,0 @@
-import torch.nn as nn
-import torch
-import math
-from network.architecture import get_batchnorm_layer, get_conv2d_layer
-
-class Illumination_Alone(nn.Module):
-    def __init__(self, opts):
-        super().__init__()
-        self.opts = opts
-        self.conv1 = get_conv2d_layer(in_c=1, out_c=32, k=5, s=1, p=2)
-        self.conv2 = get_conv2d_layer(in_c=32, out_c=32, k=5, s=1, p=2)
-        self.conv3 = get_conv2d_layer(in_c=32, out_c=32, k=5, s=1, p=2)
-        self.conv4 = get_conv2d_layer(in_c=32, out_c=32, k=5, s=1, p=2)
-        self.conv5 = get_conv2d_layer(in_c=32, out_c=1, k=1, s=1, p=0)
-
-        self.leaky_relu_1 = nn.LeakyReLU(0.2, inplace=True)
-        self.leaky_relu_2 = nn.LeakyReLU(0.2, inplace=True)
-        self.leaky_relu_3 = nn.LeakyReLU(0.2, inplace=True)
-        self.leaky_relu_4 = nn.LeakyReLU(0.2, inplace=True)
-        self.relu = nn.ReLU()
-        #self.sigmoid = nn.Sigmoid()
-    
-    def forward(self, l):
-        x = l
-        x1 = self.leaky_relu_1(self.conv1(x))
-        x2 = self.leaky_relu_2(self.conv2(x1))
-        x3 = self.leaky_relu_3(self.conv3(x2))
-        x4 = self.leaky_relu_4(self.conv4(x3))
-        x5 = self.relu(self.conv5(x4))
-        return x5
-

spaces/CVPR/WALT/mmdet/models/detectors/gfl.py

@@ -1,16 +0,0 @@
-from ..builder import DETECTORS
-from .single_stage import SingleStageDetector
-
-
-@DETECTORS.register_module()
-class GFL(SingleStageDetector):
-
-    def __init__(self,
-                 backbone,
-                 neck,
-                 bbox_head,
-                 train_cfg=None,
-                 test_cfg=None,
-                 pretrained=None):
-        super(GFL, self).__init__(backbone, neck, bbox_head, train_cfg,
-                                  test_cfg, pretrained)

spaces/CarlDennis/Lovelive-VITS-JPZH/commons.py

@@ -1,97 +0,0 @@
-import math
-import torch
-from torch.nn import functional as F
-import torch.jit
-
-
-def script_method(fn, _rcb=None):
-  return fn
-
-
-def script(obj, optimize=True, _frames_up=0, _rcb=None):
-  return obj
-
-
-torch.jit.script_method = script_method
-torch.jit.script = script
-
-
-def init_weights(m, mean=0.0, std=0.01):
-  classname = m.__class__.__name__
-  if classname.find("Conv") != -1:
-    m.weight.data.normal_(mean, std)
-
-
-def get_padding(kernel_size, dilation=1):
-  return int((kernel_size*dilation - dilation)/2)
-
-
-def intersperse(lst, item):
-  result = [item] * (len(lst) * 2 + 1)
-  result[1::2] = lst
-  return result
-
-
-def slice_segments(x, ids_str, segment_size=4):
-  ret = torch.zeros_like(x[:, :, :segment_size])
-  for i in range(x.size(0)):
-    idx_str = ids_str[i]
-    idx_end = idx_str + segment_size
-    ret[i] = x[i, :, idx_str:idx_end]
-  return ret
-
-
-def rand_slice_segments(x, x_lengths=None, segment_size=4):
-  b, d, t = x.size()
-  if x_lengths is None:
-    x_lengths = t
-  ids_str_max = x_lengths - segment_size + 1
-  ids_str = (torch.rand([b]).to(device=x.device) * ids_str_max).to(dtype=torch.long)
-  ret = slice_segments(x, ids_str, segment_size)
-  return ret, ids_str
-
-
-def subsequent_mask(length):
-  mask = torch.tril(torch.ones(length, length)).unsqueeze(0).unsqueeze(0)
-  return mask
-
-
-@torch.jit.script
-def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels):
-  n_channels_int = n_channels[0]
-  in_act = input_a + input_b
-  t_act = torch.tanh(in_act[:, :n_channels_int, :])
-  s_act = torch.sigmoid(in_act[:, n_channels_int:, :])
-  acts = t_act * s_act
-  return acts
-
-
-def convert_pad_shape(pad_shape):
-  l = pad_shape[::-1]
-  pad_shape = [item for sublist in l for item in sublist]
-  return pad_shape
-
-
-def sequence_mask(length, max_length=None):
-  if max_length is None:
-    max_length = length.max()
-  x = torch.arange(max_length, dtype=length.dtype, device=length.device)
-  return x.unsqueeze(0) < length.unsqueeze(1)
-
-
-def generate_path(duration, mask):
-  """
-  duration: [b, 1, t_x]
-  mask: [b, 1, t_y, t_x]
-  """
-  device = duration.device
-  
-  b, _, t_y, t_x = mask.shape
-  cum_duration = torch.cumsum(duration, -1)
-  
-  cum_duration_flat = cum_duration.view(b * t_x)
-  path = sequence_mask(cum_duration_flat, t_y).to(mask.dtype)
-  path = path.view(b, t_x, t_y)
-  path = path - F.pad(path, convert_pad_shape([[0, 0], [1, 0], [0, 0]]))[:, :-1]
-  path = path.unsqueeze(1).transpose(2,3) * mask
-  return path

spaces/ChanceFocus/FLARE/README.md

@@ -1,60 +0,0 @@
----
-title: FLARE
-emoji: 🐠
-colorFrom: pink
-colorTo: pink
-sdk: gradio
-sdk_version: 3.34.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
-
-## Add New Language
-
-1. Add new `[LAN]_result.csv`, which should be format like
-
-|Model|Task Metric 1|Task Metric 2|
-|---|---|---|
-|GPT-4|0.28|0|
-
-2. Add new COL variable on `app.py`
-
-```python
-SPA_COLS = [
-    ("Model", "str"),
-    ("MultiFin-F1", "number"),
-]
-```
-
-3. Add new Col categorization on `app.py`
-
-```python
-spa_cols = [col_name for col_name, _ in SPA_COLS]
-spa_cates = {
-    "Sentiment Analysis": ["Model", "TSA-Acc", "TSA-F1", "FinanceES-Acc", "FinanceES-F1"],
-    "Examination": ["Model", "EFP-Acc", "EFP-F1", "EFPA-Acc", "EFPA-F1"],
-    "Classification": ["Model", "MultiFin-Acc", "MultiFin-F1"],
-    "Text Summarization": ["Model", "FNS-Rouge1", "FNS-Rouge2", "FNS-RougeL",],
-}
-```
-
-4. Add new key to lan dict on `app.py` 
-
-```python
-df_lang = {
-    "English": create_df_dict("english", eng_cols, eng_cates),
-    "Spanish": create_df_dict("spanish", spa_cols, spa_cates),
-}
-```
-
-5. If new categories need to define new column selection rules, add it like:
-
-```python
-elif key == "Credit Scoring":
-    tdf = tdf[[val for val in tdf.columns if "Acc" in val]]
-elif key == "Text Summarization":
-    tdf = tdf[[val for val in tdf.columns if "Bert" in val or "Rouge" in val]]
-```

spaces/ChrisPreston/diff-svc_minato_aqua/modules/diff/net.py

@@ -1,135 +0,0 @@
-import math
-from math import sqrt
-
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-
-from modules.commons.common_layers import Mish
-from utils.hparams import hparams
-
-Linear = nn.Linear
-ConvTranspose2d = nn.ConvTranspose2d
-
-
-class AttrDict(dict):
-    def __init__(self, *args, **kwargs):
-        super(AttrDict, self).__init__(*args, **kwargs)
-        self.__dict__ = self
-
-    def override(self, attrs):
-        if isinstance(attrs, dict):
-            self.__dict__.update(**attrs)
-        elif isinstance(attrs, (list, tuple, set)):
-            for attr in attrs:
-                self.override(attr)
-        elif attrs is not None:
-            raise NotImplementedError
-        return self
-
-
-class SinusoidalPosEmb(nn.Module):
-    def __init__(self, dim):
-        super().__init__()
-        self.dim = dim
-
-    def forward(self, x):
-        device = x.device
-        half_dim = self.dim // 2
-        emb = math.log(10000) / (half_dim - 1)
-        emb = torch.exp(torch.arange(half_dim, device=device) * -emb)
-        emb = x[:, None] * emb[None, :]
-        emb = torch.cat((emb.sin(), emb.cos()), dim=-1)
-        return emb
-
-
-def Conv1d(*args, **kwargs):
-    layer = nn.Conv1d(*args, **kwargs)
-    nn.init.kaiming_normal_(layer.weight)
-    return layer
-
-
-@torch.jit.script
-def silu(x):
-    return x * torch.sigmoid(x)
-
-
-class ResidualBlock(nn.Module):
-    def __init__(self, encoder_hidden, residual_channels, dilation):
-        super().__init__()
-        self.dilated_conv = Conv1d(residual_channels, 2 * residual_channels, 3, padding=dilation, dilation=dilation)
-        self.diffusion_projection = Linear(residual_channels, residual_channels)
-        self.conditioner_projection = Conv1d(encoder_hidden, 2 * residual_channels, 1)
-        self.output_projection = Conv1d(residual_channels, 2 * residual_channels, 1)
-
-    def forward(self, x, conditioner, diffusion_step):
-        diffusion_step = self.diffusion_projection(diffusion_step).unsqueeze(-1)
-        conditioner = self.conditioner_projection(conditioner)
-        y = x + diffusion_step
-
-        y = self.dilated_conv(y) + conditioner
-
-        gate, filter = torch.chunk(y, 2, dim=1)
-        # Using torch.split instead of torch.chunk to avoid using onnx::Slice
-        # gate, filter = torch.split(y, torch.div(y.shape[1], 2), dim=1)
-
-        y = torch.sigmoid(gate) * torch.tanh(filter)
-
-        y = self.output_projection(y)
-        residual, skip = torch.chunk(y, 2, dim=1)
-        # Using torch.split instead of torch.chunk to avoid using onnx::Slice
-        # residual, skip = torch.split(y, torch.div(y.shape[1], 2), dim=1)
-
-        return (x + residual) / sqrt(2.0), skip
-
-
-class DiffNet(nn.Module):
-    def __init__(self, in_dims=80):
-        super().__init__()
-        self.params = params = AttrDict(
-            # Model params
-            encoder_hidden=hparams['hidden_size'],
-            residual_layers=hparams['residual_layers'],
-            residual_channels=hparams['residual_channels'],
-            dilation_cycle_length=hparams['dilation_cycle_length'],
-        )
-        self.input_projection = Conv1d(in_dims, params.residual_channels, 1)
-        self.diffusion_embedding = SinusoidalPosEmb(params.residual_channels)
-        dim = params.residual_channels
-        self.mlp = nn.Sequential(
-            nn.Linear(dim, dim * 4),
-            Mish(),
-            nn.Linear(dim * 4, dim)
-        )
-        self.residual_layers = nn.ModuleList([
-            ResidualBlock(params.encoder_hidden, params.residual_channels, 2 ** (i % params.dilation_cycle_length))
-            for i in range(params.residual_layers)
-        ])
-        self.skip_projection = Conv1d(params.residual_channels, params.residual_channels, 1)
-        self.output_projection = Conv1d(params.residual_channels, in_dims, 1)
-        nn.init.zeros_(self.output_projection.weight)
-
-    def forward(self, spec, diffusion_step, cond):
-        """
-
-        :param spec: [B, 1, M, T]
-        :param diffusion_step: [B, 1]
-        :param cond: [B, M, T]
-        :return:
-        """
-        x = spec[:, 0]
-        x = self.input_projection(x)  # x [B, residual_channel, T]
-
-        x = F.relu(x)
-        diffusion_step = self.diffusion_embedding(diffusion_step)
-        diffusion_step = self.mlp(diffusion_step)
-        skip = []
-        for layer_id, layer in enumerate(self.residual_layers):
-            x, skip_connection = layer(x, cond, diffusion_step)
-            skip.append(skip_connection)
-
-        x = torch.sum(torch.stack(skip), dim=0) / sqrt(len(self.residual_layers))
-        x = self.skip_projection(x)
-        x = F.relu(x)
-        x = self.output_projection(x)  # [B, 80, T]
-        return x[:, None, :, :]

spaces/CofAI/chat/g4f/Provider/Providers/AiService.py

@@ -1,40 +0,0 @@
-import os
-import requests
-from ...typing import get_type_hints
-
-url = "https://aiservice.vercel.app/api/chat/answer"
-model = ['gpt-3.5-turbo']
-supports_stream = False
-needs_auth = False
-
-
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    base = ''
-    for message in messages:
-        base += '%s: %s\n' % (message['role'], message['content'])
-    base += 'assistant:'
-
-    headers = {
-        "accept": "*/*",
-        "content-type": "text/plain;charset=UTF-8",
-        "sec-fetch-dest": "empty",
-        "sec-fetch-mode": "cors",
-        "sec-fetch-site": "same-origin",
-        "Referer": "https://aiservice.vercel.app/chat",
-    }
-    data = {
-        "input": base
-    }
-    response = requests.post(url, headers=headers, json=data)
-    if response.status_code == 200:
-        _json = response.json()
-        yield _json['data']
-    else:
-        print(f"Error Occurred::{response.status_code}")
-        return None
-    
-
-
-params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
-    '(%s)' % ', '.join(
-        [f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])

spaces/CognitiveLabs/GPT-auto-webscraping/chains/code_generator/templates.py

@@ -1,58 +0,0 @@
-from langchain.prompts import (
-    SystemMessagePromptTemplate,
-    HumanMessagePromptTemplate,
-    ChatPromptTemplate,
-    PromptTemplate,
-)
-
-# Prompt templates
-system_template_script = PromptTemplate(
-    input_variables=["output_format", "html_content"],
-    template="""You are a helpful assitant that helps people create python scripts for web scraping.
-    --------------------------------
-    The example of the html content is: {html_content}
-    --------------------------------
-    You have to create a python function that extract information from an html code using web scrapping.
-    
-    Try to select the deeper class that is common among the elements to make de find_all function.
-
-    Your answer SHOULD only contain the python function code without any aditional word or character.
-
-    Import the used libraries above the function definition.
-
-    The function name must be extract_info.
-
-    The function have to receive the html data as a parameter.
-
-    Your function needs to extract information for all the elements with similar attributes.
-
-    An element could have missing attributes
-
-    Before calling .text or ['href'] methods, check if the element exists.
-
-    ----------------
-    FINAL ANSWER EXAMPLE:
-    from bs4 import BeautifulSoup
-
-    def extract_info(html):
-        ...CODE...
-        return {output_format}
-    ----------------
-    
-    Always check if the element exists before calling some method.
-
-    """,
-)
-
-human_template_script = PromptTemplate(input_variables=[], template="give me the code")
-
-# Chat Prompt objects
-system_template_script_prompt = SystemMessagePromptTemplate.from_template(
-    system_template_script.template
-)
-human_template_script_prompt = HumanMessagePromptTemplate.from_template(
-    human_template_script.template
-)
-chat_script_prompt = ChatPromptTemplate.from_messages(
-    [system_template_script_prompt, human_template_script_prompt]
-)

spaces/Cpp4App/Cpp4App/SEM/sentence_bayesian.py

@@ -1,62 +0,0 @@
-import csv
-import joblib
-
-
-from sklearn.metrics import f1_score, recall_score
-from sklearn.naive_bayes import MultinomialNB
-
-from SEM.text_preprocessing import pre_process_title
-from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
-
-
-def readtrain():
-    with open('SEM/training_data/personal_type.csv', 'rt') as csvfile:
-        reader = csv.reader(csvfile)
-        column1 = [row for row in reader]
-    content_train = [i[0] for i in column1[1:]]
-    opinion_train = [i[1] for i in column1[1:]]
-
-    train = [content_train, opinion_train]
-    return train
-
-def segmentWord(cont):
-    c = []
-    for i in cont:
-        clean_text = pre_process_title(i)
-        c.append(clean_text)
-    return c
-
-train = readtrain()
-content = segmentWord(train[1])
-
-textMark = train[0]
-
-train_content = content[:499]
-# test_content = content[400:499]
-train_textMark = textMark[:499]
-# test_textMark = textMark[400:499]
-
-tf = TfidfVectorizer(max_df=0.5)
-
-train_features = tf.fit_transform(train_content)
-
-load_pretrain_model = True
-
-if not load_pretrain_model:
-
-
-    clf_type = MultinomialNB(alpha=0.1)
-    clf_type.fit(train_features,train_textMark)
-
-    joblib.dump(clf_type, 'SEM/model/sen_model.pkl')
-
-    # test_features = tf.transform(test_content)
-    # print("clf test score: ", clf_type.score(test_features, test_textMark))
-else:
-    clf_type = joblib.load('SEM/model/sen_model.pkl')
-    # print("clf training score: ", clf_type.score(train_features, train_textMark))
-
-    # test_features = tf.transform(test_content)
-    # print("clf test score: ", clf_type.score(test_features, test_textMark))
-
-

spaces/Cyril666/ContourNet-ABI/maskrcnn_benchmark/data/datasets/evaluation/word/util/misc.py

@@ -1,74 +0,0 @@
-'''Some helper functions for PyTorch, including:
-    - get_mean_and_std: calculate the mean and std value of dataset.
-    - msr_init: net parameter initialization.
-    - progress_bar: progress bar mimic xlua.progress.
-'''
-import errno
-import os
-import sys
-import time
-import math
-
-import torch.nn as nn
-import torch.nn.init as init
-from torch.autograd import Variable
-
-__all__ = ['get_mean_and_std', 'init_params', 'mkdir_p', 'AverageMeter']
-
-
-def get_mean_and_std(dataset):
-    '''Compute the mean and std value of dataset.'''
-    dataloader = trainloader = torch.utils.data.DataLoader(dataset, batch_size=1, shuffle=True, num_workers=2)
-
-    mean = torch.zeros(3)
-    std = torch.zeros(3)
-    print('==> Computing mean and std..')
-    for inputs, targets in dataloader:
-        for i in range(3):
-            mean[i] += inputs[:,i,:,:].mean()
-            std[i] += inputs[:,i,:,:].std()
-    mean.div_(len(dataset))
-    std.div_(len(dataset))
-    return mean, std
-
-def init_params(net):
-    '''Init layer parameters.'''
-    for m in net.modules():
-        if isinstance(m, nn.Conv2d):
-            init.kaiming_normal(m.weight, mode='fan_out')
-            if m.bias:
-                init.constant(m.bias, 0)
-        elif isinstance(m, nn.BatchNorm2d):
-            init.constant(m.weight, 1)
-            init.constant(m.bias, 0)
-        elif isinstance(m, nn.Linear):
-            init.normal(m.weight, std=1e-3)
-            if m.bias:
-                init.constant(m.bias, 0)
-
-def mkdir_p(path):
-    '''make dir if not exist'''
-    try:
-        os.makedirs(path)
-    except OSError as exc:  # Python >2.5
-        if exc.errno == errno.EEXIST and os.path.isdir(path):
-            pass
-        else:
-            raise
-
-class AverageMeter(object):
-    """Computes and stores the average and current value"""
-    def __init__(self):
-        self.reset()
-
-    def reset(self):
-        self.val = 0
-        self.avg = 0
-        self.sum = 0
-        self.count = 0
-
-    def update(self, val, n=1):
-        self.val = val
-        self.sum += val * n
-        self.count += n
-        self.avg = self.sum / self.count

spaces/DEVILOVER/image_captioning/README.md

@@ -1,13 +0,0 @@
----
-title: Image Captioning
-emoji: 😻
-colorFrom: gray
-colorTo: purple
-sdk: gradio
-sdk_version: 3.47.1
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/aiofiles/threadpool/utils.py

@@ -1,74 +0,0 @@
-import functools
-from types import coroutine
-
-
-def delegate_to_executor(*attrs):
-    def cls_builder(cls):
-        for attr_name in attrs:
-            setattr(cls, attr_name, _make_delegate_method(attr_name))
-        return cls
-
-    return cls_builder
-
-
-def proxy_method_directly(*attrs):
-    def cls_builder(cls):
-        for attr_name in attrs:
-            setattr(cls, attr_name, _make_proxy_method(attr_name))
-        return cls
-
-    return cls_builder
-
-
-def proxy_property_directly(*attrs):
-    def cls_builder(cls):
-        for attr_name in attrs:
-            setattr(cls, attr_name, _make_proxy_property(attr_name))
-        return cls
-
-    return cls_builder
-
-
-def cond_delegate_to_executor(*attrs):
-    def cls_builder(cls):
-        for attr_name in attrs:
-            setattr(cls, attr_name, _make_cond_delegate_method(attr_name))
-        return cls
-
-    return cls_builder
-
-
-def _make_delegate_method(attr_name):
-    @coroutine
-    def method(self, *args, **kwargs):
-        cb = functools.partial(getattr(self._file, attr_name), *args, **kwargs)
-        return (yield from self._loop.run_in_executor(self._executor, cb))
-
-    return method
-
-
-def _make_proxy_method(attr_name):
-    def method(self, *args, **kwargs):
-        return getattr(self._file, attr_name)(*args, **kwargs)
-
-    return method
-
-
-def _make_proxy_property(attr_name):
-    def proxy_property(self):
-        return getattr(self._file, attr_name)
-
-    return property(proxy_property)
-
-
-def _make_cond_delegate_method(attr_name):
-    """For spooled temp files, delegate only if rolled to file object"""
-
-    async def method(self, *args, **kwargs):
-        if self._file._rolled:
-            cb = functools.partial(getattr(self._file, attr_name), *args, **kwargs)
-            return await self._loop.run_in_executor(self._executor, cb)
-        else:
-            return getattr(self._file, attr_name)(*args, **kwargs)
-
-    return method