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Weyaxi
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huggingface-spaces-codes

@@ -1,24 +0,0 @@
-# GUI with PyWebIO
-Simple, fast, and with fewer errors
-Only requires
-```bash
-pip install gpt4free
-pip install pywebio
-```
-clicking on 'pywebio-usesless.py' will run it
-PS: Currently, only 'usesless' is implemented, and the GUI is expected to be updated infrequently, with a focus on stability.
-↓ Here is the introduction in zh-Hans-CN below.
-# 使用pywebio实现的极简GUI
-简单，快捷，报错少
-只需要
-```bash
-pip install gpt4free
-pip install pywebio
-```
-双击pywebio-usesless.py即可运行
-ps：目前仅实现usesless，这个gui更新频率应该会比较少，目的是追求稳定

spaces/1acneusushi/gradio-2dmoleculeeditor/SEUSv10RC6shaderpackzip ~REPACK~.md DELETED Viewed

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-## SEUSv10RC6shaderpackzip
-**LINK ✸ [https://jinyurl.com/2tzZXd](https://jinyurl.com/2tzZXd)**
-# How to Install SEUS v10 RC6 Shader Pack for Minecraft
-SEUS v10 RC6 is a shader pack for Minecraft that enhances the graphics of the game with realistic lighting, shadows, water effects and more. It is one of the most popular shader packs for Minecraft and requires OptiFine or GLSL Shaders Mod to work. In this article, we will show you how to download and install SEUS v10 RC6 shader pack for Minecraft.
-## Step 1: Download SEUS v10 RC6 shader pack
-The first step is to download the SEUS v10 RC6 shader pack from the official website of Sonic Ether[^1^] or from other sources[^2^]. The file name should be `SEUS-v10rc6.zip` and it should be around 20 MB in size. You can also download other versions of SEUS shader pack from the same website, such as SEUS Renewed or SEUS PTGI.
-## Step 2: Install OptiFine or GLSL Shaders Mod
-The next step is to install OptiFine or GLSL Shaders Mod for your Minecraft version. These mods are necessary to run shader packs in Minecraft. You can download OptiFine from its official website or from other sources. You can download GLSL Shaders Mod from its official forum thread or from other sources. Follow the instructions on how to install these mods for your Minecraft version.
-## Step 3: Move the shader pack file to the shader folder
-The final step is to move the `SEUS-v10rc6.zip` file to the shader folder in your Minecraft directory. To do this, open the Minecraft launcher and select the profile that has OptiFine or GLSL Shaders Mod installed. Launch Minecraft and go to the video settings in the options menu. Click on shaders packs and open the shader folder in the lower left corner. This will open a folder called `.minecraft\shaderpacks`. Move the `SEUS-v10rc6.zip` file into this folder. Return to Minecraft and select SEUS v10 RC6 in the shader list. Click on done and enjoy your new graphics!
-## Troubleshooting
-If you encounter any problems with installing or running SEUS v10 RC6 shader pack, here are some possible solutions:
-- Make sure you have a compatible version of OptiFine or GLSL Shaders Mod installed for your Minecraft version.
-- Make sure you have a powerful enough computer to run SEUS v10 RC6 shader pack. It is recommended to have at least 4 GB of RAM and a decent graphics card.
-- Make sure you have allocated enough memory to Minecraft. You can do this by editing the JVM arguments in the launcher profile settings.
-- Make sure you have updated your graphics drivers to the latest version.
-- If you still have issues, you can try other versions of SEUS shader pack or other shader packs for Minecraft.
-We hope this article helped you install SEUS v10 RC6 shader pack for Minecraft. If you have any questions or feedback, feel free to leave a comment below.
-## What are the features of SEUS v10 RC6 shader pack?
-SEUS v10 RC6 shader pack is a legacy version of SEUS that offers some amazing features for Minecraft graphics. Some of the features are:
-- Dynamic shadows that change according to the position of the sun and the light sources.
-- Realistic water effects that reflect and refract the environment.
-- Smooth lighting that eliminates harsh edges and creates soft transitions.
-- Bloom and lens flare effects that add a cinematic touch to the scenes.
-- Motion blur and depth of field effects that enhance the sense of movement and distance.
-- Customizable settings that allow you to adjust the performance and quality of the shader pack.
-SEUS v10 RC6 shader pack is compatible with Minecraft 1.4.6 and requires OptiFine or GLSL Shaders Mod to work. It is one of the most popular shader packs for Minecraft and has been praised by many players and reviewers for its stunning visuals and performance[^1^] [^2^] [^3^].
-## Why should you use SEUS v10 RC6 shader pack?
-If you are looking for a way to improve your Minecraft experience with realistic and immersive graphics, SEUS v10 RC6 shader pack is a great choice. It will transform your Minecraft world into a beautiful and lively place that you can explore and enjoy. You will be amazed by the difference that SEUS v10 RC6 shader pack makes in your game. It will make your Minecraft look like a whole new game.
-SEUS v10 RC6 shader pack is also easy to install and use. You just need to follow the steps in this article and you will be ready to go. You can also customize the settings of the shader pack to suit your preferences and needs. You can change the brightness, contrast, color, fog, water, shadows, motion blur, depth of field and more. You can also toggle some features on and off if you want to save some resources or change the mood of your game.
-SEUS v10 RC6 shader pack is a must-have for any Minecraft fan who wants to experience the game in a new way. It will make your Minecraft more realistic, beautiful and fun. You will not regret trying it out.
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spaces/1gistliPinn/ChatGPT4/Examples/Articulate Storyline 212121412 Portable.md DELETED Viewed

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spaces/1line/AutoGPT/tests/integration/milvus_memory_tests.py DELETED Viewed

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-# sourcery skip: snake-case-functions
-"""Tests for the MilvusMemory class."""
-import random
-import string
-import unittest
-from autogpt.config import Config
-from autogpt.memory.milvus import MilvusMemory
-try:
-    class TestMilvusMemory(unittest.TestCase):
-        """Tests for the MilvusMemory class."""
-        def random_string(self, length: int) -> str:
-            """Generate a random string of the given length."""
-            return "".join(random.choice(string.ascii_letters) for _ in range(length))
-        def setUp(self) -> None:
-            """Set up the test environment."""
-            cfg = Config()
-            cfg.milvus_addr = "localhost:19530"
-            self.memory = MilvusMemory(cfg)
-            self.memory.clear()
-            # Add example texts to the cache
-            self.example_texts = [
-                "The quick brown fox jumps over the lazy dog",
-                "I love machine learning and natural language processing",
-                "The cake is a lie, but the pie is always true",
-                "ChatGPT is an advanced AI model for conversation",
-            ]
-            for text in self.example_texts:
-                self.memory.add(text)
-            # Add some random strings to test noise
-            for _ in range(5):
-                self.memory.add(self.random_string(10))
-        def test_get_relevant(self) -> None:
-            """Test getting relevant texts from the cache."""
-            query = "I'm interested in artificial intelligence and NLP"
-            num_relevant = 3
-            relevant_texts = self.memory.get_relevant(query, num_relevant)
-            print(f"Top {k} relevant texts for the query '{query}':")
-            for i, text in enumerate(relevant_texts, start=1):
-                print(f"{i}. {text}")
-            self.assertEqual(len(relevant_texts), k)
-            self.assertIn(self.example_texts[1], relevant_texts)
-except:
-    print(
-        "Skipping tests/integration/milvus_memory_tests.py as Milvus is not installed."
-    )

spaces/1phancelerku/anime-remove-background/Discover the New Champion Stadium in Pokmon Masters EX on GBA.md DELETED Viewed

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-<h1>Pokemon Masters EX: A New Adventure with Your Favorite Trainers and Pokemon</h1>
-<p>If you are a fan of Pokemon games, you might have heard of <strong>Pokemon Masters EX</strong>, a free-to-play mobile game that features an original story, team-ups between iconic trainers and Pokemon, and exciting 3-on-3 battles. Whether you are new to the game or a veteran player, you might be wondering how to download and play Pokemon Masters EX on your device. In this article, we will show you how to do that, as well as give you some tips and tricks for enjoying the game.</p>
-<p>Pokemon Masters EX is a spin-off game that takes place on the artificial island of Pasio, where trainers from different regions compete in the Pokemon Masters League (PML), a tournament of 3-on-3 battles. You play as a trainer who teams up with other famous trainers and their Pokemon, called sync pairs, to form a team of three. You can also participate in co-op battles with other players, as well as special events that feature characters from the anime series.</p>
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-<p>Some of the main features of Pokemon Masters EX are:</p>
-<ul>
-<li><strong>Sync pairs:</strong> You can collect over 200 sync pairs, each with their own unique moves, skills, and personalities. You can also upgrade their potential, unlock their sync grids, and change their outfits.</li>
-<li><strong>3-on-3 battles:</strong> You can experience a new kind of Pokemon battle that is fast-paced, strategic, and fun. You can use moves, items, sync moves, and passive skills to defeat your opponents.</li>
-<li><strong>Champion Stadium:</strong> You can challenge the Elite Four and regional champions of different regions in a weekly challenge. You can choose the order and difficulty of the battles and earn rewards based on your performance.</li>
-<li><strong>Events:</strong> You can join various events that feature story episodes, missions, rewards, and exclusive sync pairs. Some events are based on the seasons, holidays, or special occasions.</li>
-</ul>
-<p>Now that you know what Pokemon Masters EX is and why you should play it, let's see how you can download and play it on your device.</p>
-<h2>How to Download Pokemon Masters EX on Android</h2>
-<p>If you have an Android device, you can easily download and play Pokemon Masters EX from the Google Play Store. Here are the steps you need to follow:</p>
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-<ol>
-<li>Go to the Google Play Store and search for Pokemon Masters EX. You can also use this link: [Pokemon Masters EX].</li>
-<li>Tap on the Install button and wait for the game to download. The game size is about 2 GB, so make sure you have enough space and a stable internet connection.</li>
-<li>Launch the game and follow the instructions to start your adventure. You will need to accept the terms of service, choose your language, download additional data, and create your character.</li>
-</ol>
-<p>Congratulations! You are now ready to play Pokemon Masters EX on your Android device.</p>
-<h2>How to Download Pokemon Masters EX on iOS</h2>
-<p>If you have an iOS device, you can also download and play Pokemon Masters EX from the App Store. Here are the steps you need to follow:</p>
-<ol>
-<li>Go to the App Store and search for Pokemon Masters EX. You can also use this link: [Pokemon Masters EX].</li>
-<li>Tap on the Get button and enter your Apple ID password if prompted. The game is free to download, but it may offer in-app purchases.</li>
-<li>Wait for the game to download and launch it from your home screen. You will need to accept the terms of service, choose your language, download additional data, and create your character.</li>
-</ol>
-<p>Congratulations! You are now ready to play Pokemon Masters EX on your iOS device.</p> <h2>How to Download Pokemon Masters EX on PC</h2>
-<p>If you don't have a mobile device or you prefer to play Pokemon Masters EX on a bigger screen, you can also download and play it on your PC using an Android emulator. An Android emulator is a software that allows you to run Android apps and games on your PC. Here are the steps you need to follow:</p>
-<ol>
-<li>Download and install an Android emulator such as [BlueStacks] or [NoxPlayer]. You can choose the one that suits your preferences and system requirements.</li>
-<li>Open the emulator and sign in with your Google account. You will need to do this to access the Google Play Store and other Google services.</li>
-<li>Go to the Google Play Store and search for Pokemon Masters EX. You can also use this link: [Pokemon Masters EX].</li>
-<li>Install the game and launch it from the emulator. You will need to accept the terms of service, choose your language, download additional data, and create your character.</li>
-</ol>
-<p>Congratulations! You are now ready to play Pokemon Masters EX on your PC.</p>
-<h2>How to Download Pokemon Masters EX on GBA</h2>
-<p>If you are feeling nostalgic or adventurous, you might want to try playing Pokemon Masters EX on a Game Boy Advance (GBA), a handheld console that was released in 2001. GBA is one of the most popular and beloved gaming devices of all time, and it has a huge library of classic games, including many Pokemon titles. However, Pokemon Masters EX is not officially available for GBA, so you will need to use some tricks to make it work.</p>
-<p><strong>Disclaimer:</strong> Before we show you how to download and play Pokemon Masters EX on GBA, we need to warn you about the legal and ethical issues of using GBA emulators and ROMs. Emulators are software that mimic the hardware and software of a console, while ROMs are files that contain the data of a game. Using emulators and ROMs without owning the original console and game is considered piracy and may violate the intellectual property rights of the developers and publishers. Therefore, we do not condone or encourage the use of emulators and ROMs for any illegal or unethical purposes. If you decide to use them, do so at your own risk and responsibility.</p>
-<p>Here are the steps you need to follow:</p>
-<ol>
-<li>Download and install a GBA emulator such as [VisualBoyAdvance] or [mGBA]. These are two of the most popular and reliable GBA emulators for PC.</li>
-<li>Download a Pokemon Masters EX ROM from a reputable source such as [ROMsMania] or [EmuParadise]. These are two of the most trusted and safe websites for downloading ROMs for various consoles.</li>
-<li>Open the emulator and load the ROM file. You will need to locate the ROM file on your PC and open it with the emulator.</li>
-<li>Enjoy playing Pokemon Masters EX on your GBA. You can customize the controls, graphics, sound, and other settings according to your preferences.</li>
-</ol>
-<p>Congratulations! You are now ready to play Pokemon Masters EX on your GBA.</p> <h3>Pros and Cons of Playing Pokemon Masters EX on GBA</h3>
-<p>Playing Pokemon Masters EX on GBA might sound like a fun and nostalgic idea, but it also has its advantages and disadvantages. Here are some of them:</p>
-<table>
-<tr>
-<th>Pros</th>
-<th>Cons</th>
-</tr>
-<tr>
-<td>- You can experience the game in a retro style, with pixelated graphics and chiptune sound.</td>
-<td>- You will miss out on the high-quality graphics and sound of the original game, which are designed to enhance the gameplay and immersion.</td>
-</tr>
-<tr>
-<td>- You can play the game on a portable device, without needing an internet connection or a battery charger.</td>
-<td>- You will need to carry around a GBA device and a cartridge, which might be inconvenient or impractical in some situations.</td>
-</tr>
-<tr>
-<td>- You can customize the game settings, such as the speed, difficulty, cheats, and save states, to suit your preferences and needs.</td>
-<td>- You might encounter compatibility issues, bugs, glitches, or crashes that could ruin your gaming experience or damage your device.</td>
-</tr>
-<tr>
-<td>- You can enjoy the game in a different way, with new challenges and surprises.</td>
-<td>- You will not be able to access the latest updates, features, events, and sync pairs that are available in the original game.</td>
-</tr>
-</table>
-<p>As you can see, playing Pokemon Masters EX on GBA has its pros and cons, and it is up to you to decide whether it is worth it or not. If you do decide to try it, make sure you do it legally and ethically, and have fun!</p>
-<h2>Tips and Tricks for Playing Pokemon Masters EX</h2>
-<p>Pokemon Masters EX is a game that requires strategy, skill, and knowledge to master. If you want to become a better player and enjoy the game more, here are some tips and tricks that might help you:</p>
-<ul>
-<li><strong>How to build a balanced team of sync pairs:</strong> A good team should consist of three sync pairs that complement each other's strengths and weaknesses. You should have one striker (a sync pair that deals high damage), one support (a sync pair that boosts the stats or heals the team), and one tech (a sync pair that debuffs the enemy or inflicts status effects). You should also consider the type, role, and synergy of your sync pairs when choosing them.</li>
-<li><strong>How to level up and unlock new moves and skills:</strong> To level up your sync pairs, you need to use items such as level-up manuals, buff blends, aid ades, and tech tonics. You can obtain these items from various sources, such as battles, missions, events, and shops. To unlock new moves and skills for your sync pairs, you need to use items such as move candies, skill capsules, and sync orbs. You can also obtain these items from various sources, such as battles, missions, events, and shops.</li> <li><strong>How to use sync moves and sync grids effectively:</strong> Sync moves are powerful moves that can be used once the sync move countdown reaches zero. Sync moves can deal massive damage, boost your stats, or trigger other effects depending on your sync pair. Sync grids are skill trees that allow you to customize your sync pairs' abilities and unlock new passive skills, sync move effects, or lucky skills. To use sync moves and sync grids effectively, you need to plan ahead and choose the ones that suit your team and strategy.</li>
-<li><strong>How to participate in co-op battles and events:</strong> Co-op battles are battles that allow you to team up with other players online and fight against a common enemy. Co-op battles can be more challenging and rewarding than solo battles, as they require coordination, communication, and cooperation. Events are limited-time activities that offer exclusive story episodes, missions, rewards, and sync pairs. Events can be solo or co-op, and they often have different difficulties and requirements. To participate in co-op battles and events, you need to have an internet connection and a compatible device.</li>
-<li><strong>How to earn gems and other resources:</strong> Gems are the premium currency of the game, which can be used to scout for new sync pairs or exchange for other items. You can earn gems by completing various tasks, such as logging in daily, completing missions, participating in events, or purchasing them with real money. Other resources include coins, vouchers, tickets, medals, and more. You can earn these resources by playing the game normally, or by exchanging them with gems or other items.</li>
-</ul>
-<h2>Conclusion</h2>
-<p>Pokemon Masters EX is a game that offers a lot of fun and excitement for Pokemon fans and gamers alike. You can download and play it on various devices, such as Android, iOS, PC, or even GBA. You can also enjoy the game's features, such as sync pairs, 3-on-3 battles, Champion Stadium, events, and more. However, you also need to be aware of the legal and ethical issues of using emulators and ROMs, as well as the pros and cons of playing the game on different devices. We hope this article has helped you learn how to download and play Pokemon Masters EX on your device of choice. If you have any questions or feedback, feel free to leave a comment below. Thank you for reading and happy gaming!</p>
-<h2>FAQs</h2>
-<p>Here are some frequently asked questions about Pokemon Masters EX:</p>
-<ol>
-<li><strong>Q: Is Pokemon Masters EX free to play?</strong>
-A: Yes, Pokemon Masters EX is free to download and play. However, it may offer in-app purchases that can enhance your gaming experience.</li>
-<li><strong>Q: Is Pokemon Masters EX compatible with my device?</strong>
-A: Pokemon Masters EX is compatible with most Android devices that have Android OS 7.0 or higher (64-bit), and most iOS devices that have iOS 11 or higher. For PC and GBA devices, you will need to use an emulator and a ROM file.</li>
-<li><strong>Q: How can I get more sync pairs in Pokemon Masters EX?</strong>
-A: You can get more sync pairs by scouting them using gems or tickets. You can also get some sync pairs by completing story chapters or events.</li>
-<li><strong>Q: How can I contact the support team of Pokemon Masters EX?</strong>
-A: You can contact the support team of Pokemon Masters EX by tapping on the Menu button in the game, then tapping on Other > Customer Support > Inquiries.</li>
-<li><strong>Q: How can I join the community of Pokemon Masters EX?</strong>
-A: You can join the community of Pokemon Masters EX by following their official social media accounts, such as [Facebook], [Twitter], [Instagram], [YouTube], or [Reddit]. You can also join their official [Discord] server or their [website].</li>
-</ol></p> 197e85843d<br />
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spaces/1phancelerku/anime-remove-background/Download Classic Solitaire for Windows - Free and Easy.md DELETED Viewed

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-<h1>Classic Solitaire Download for PC: How to Play the Timeless Card Game on Your Windows Device</h1>
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-<li>Open your web browser and go to <a href="(^1^)">https://support.microsoft.com/en-us/account-billing/get-the-classic-free-solitaire-games-for-windows-92bf81e3-f34a-58b8-45b2-abe855aa64f2</a>.</li>
-<li>On the Microsoft Solitaire Collection page in Microsoft Store, select Install. The game will download and install automatically.</li>
-<li>To launch the game, select Play. You can always launch the game from the product page, but there's an easier way--pin it. With the game open, right-click (or press and hold) the game button on your task bar and select Pin to task bar . When you close the game, the button will still be there.</li>
-<li>On the Start menu, scroll down the all apps list to Microsoft Solitaire Collection, right-click (or press and hold) the tile and select Pin to Start . It'll be available on the Start menu.</li>
-</ol>
-<p>If you have any problems with downloading or installing the game, you can run the app troubleshooter or contact Microsoft support for help.</p>
-<h2>Features of classic solitaire for PC</h2>
-<h3>Different game modes and difficulty levels</h3>
-<p>One of the best features of classic solitaire for PC is that it offers different game modes and difficulty levels to suit your preference and challenge. You can choose from five game modes: Klondike, Spider, FreeCell, Pyramid, and TriPeaks. Each game mode has its own rules and strategies, so you can try them all and find your favorite one. You can also adjust the difficulty level of each game mode, from easy to expert, depending on how confident you are with your solitaire skills. You can change the game mode and difficulty level anytime from the settings menu.</p>
-<h3>Customizable themes and card backs</h3>
-<p>Another feature of classic solitaire for PC is that it allows you to customize the appearance of the game according to your taste. You can choose from different themes and card backs to make the game more colorful and fun. You can select from various themes, such as nature, animals, sports, holidays, and more. You can also pick from different card backs, such as classic, modern, vintage, and more. You can change the theme and card back anytime from the settings menu.</p>
-<h3>Statistics and achievements</h3>
-<p>If you are a competitive solitaire player, you will love the statistics and achievements feature of classic solitaire for PC. This feature lets you track your progress and performance in the game, such as how many games you have played, won, and lost, how long it took you to finish a game, what your best score and streak are, and more. You can also earn achievements by completing certain goals or challenges in the game, such as winning a game without using undo, clearing all the cards in the tableau, or finishing a game in less than a minute. You can view your statistics and achievements anytime from the main menu.</p>
-<h3>Online and offline play</h3>
-<p>One of the most convenient features of classic solitaire for PC is that it supports both online and offline play. This means that you can play the game anytime and anywhere, whether you have an internet connection or not. When you play online, you can access more features and benefits, such as daily challenges, events, leaderboards, cloud saving, and more. When you play offline, you can still enjoy the basic features of the game, such as different game modes, difficulty levels, themes, and card backs. You can switch between online and offline play anytime from the settings menu.</p>
-<h2>Tips and tricks for playing classic solitaire on PC</h2>
-<h3>Use the undo button wisely</h3>
-<p>One of the most useful tools in classic solitaire for PC is the undo button. This button allows you to undo your last move or action in case you make a mistake or change your mind. However, you should not rely on this button too much or use it randomly. You should use it strategically and sparingly, as it can affect your score and time. For example, you should use it when you realize that you have missed a better move or when you want to explore a different option.</p>
-<h3>Pay attention to the cards in the stock pile</h3>
-<p>Another tip for playing classic solitaire on PC is to pay attention to the cards in the stock pile. The stock pile is where the remaining cards that are not dealt are placed. You can draw one or three cards from the stock pile at a time, depending on your difficulty level. You should keep an eye on the cards in the stock pile, as they can help you plan your moves ahead and avoid getting stuck. For example, if you know that there is an ace or a two in the stock pile, you can save a space for it in the foundation.</p>
-<h3>Move cards to the foundation as soon as possible</h3>
-<p>Another tip for playing classic solitaire on PC is to move cards to the foundation as soon as possible. The foundation is where you place the cards in ascending order according to their suits and ranks. The sooner you move cards to the foundation, the easier it will be to clear the tableau and win the game. Moving cards to the foundation also frees up space in the tableau and gives you more options for moving other cards around.</p>
-<h3>Try to clear the columns with the most cards first</h3>
-<p>Another tip for playing classic solitaire on PC is to try to clear the columns with the most cards first. The columns are the vertical stacks of cards in the tableau. The more cards you have in a column, the harder it will be to move them around and access the cards underneath. Therefore, you should try to clear the columns with the most cards first, especially if they have face-down cards. This will help you reveal more cards and create more empty spaces in the tableau.</p>
-<h3>Use the hint button if you get stuck</h3>
-<p>Another tip for playing classic solitaire on PC is to use the hint button if you get stuck. The hint button is located at the bottom right corner of the screen and it will show you a possible move that you can make. However, you should not use the hint button too often or blindly follow its suggestions. You should use it only when you have no other moves or when you want to check if you have missed something. Using the hint button too much can lower your score and make the game less fun.</p>
-<h2>Conclusion</h2>
-<h3>Summary of the main points</h3>
-<p>In conclusion, classic solitaire is a timeless card game that you can play on your PC for free. It is a simple yet addictive game that can help you pass the time, relax, and exercise your brain. To play classic solitaire on PC, you can download and install it from the Microsoft Store. You can enjoy different game modes, difficulty levels, themes, card backs, statistics, achievements, and online and offline play. You can also improve your solitaire skills by following some tips and tricks, such as using the undo button wisely, paying attention to the cards in the stock pile, moving cards to the foundation as soon as possible, clearing the columns with the most cards first, and using the hint button if you get stuck.</p>
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-<p>If you are ready to play classic solitaire on PC, what are you waiting for? Download and install it now and start having fun with this classic card game. You can also share your thoughts and experiences with us in the comments section below. We would love to hear from you!</p>
-<h2>Frequently Asked Questions</h2>
-<h4>What are the rules of classic solitaire?</h4>
-<p>The rules of classic solitaire are simple: you have to arrange 52 cards into four piles, called foundations, according to their suits and ranks. The game starts with seven columns of cards, called tableau, with the top card of each column face up and the rest face down. The goal is to move all the cards from the tableau and the stock pile (the remaining cards that are not dealt) to the foundations, starting from the ace and ending with the king.</p>
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-<p>You win classic solitaire when you move all the cards from the tableau and the stock pile to the foundations. You can move cards from one place to another by following these rules:</p>
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-<li>You can only move one card at a time.</li>
-<li>You can only move a card that is face up.</li>
-<li>You can only move a card to an empty space or on top of another card that is one rank higher and of a different color.</li>
-<li>You can only move a card to a foundation if it matches its suit and rank.</li>
-<li>You can draw one or three cards from the stock pile at a time, depending on your difficulty level.</li>
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-<p>You can change the game mode or difficulty level anytime from the settings menu. To access the settings menu, click on the gear icon at the top right corner of the screen. Then, you can select the game mode and difficulty level that you want to play. You can choose from five game modes: Klondike, Spider, FreeCell, Pyramid, and TriPeaks. You can also adjust the difficulty level of each game mode, from easy to expert.</p>
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-<p>Dream League Soccer 2021 is one of the most popular soccer games on Android and iOS devices. It lets you create your own team, compete in various leagues, and customize your players, kits, stadiums, and more. However, the game also has some limitations, such as limited coins, ads, and in-app purchases that can affect your gaming experience.</p>
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-<p>If you want to play Dream League Soccer 2021 like a pro, you don't need to rely on hacks or cheats. You can improve your skills and tactics by following some tips and tricks that can help you win more matches and trophies. Here are some of them:</p>
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-<li><strong>How to improve your skills and tactics in different modes</strong>: The next thing you need to do is to improve your skills and tactics in different modes. You can play in various modes, such as Career Mode, Online Mode, Friendly Matches, Events, and more. You can also customize the difficulty level, match duration, camera angle, and controls to suit your preference. You should always practice your skills, such as passing, shooting, dribbling, defending, and goalkeeping, and learn how to use different tactics, such as attacking, defending, counter-attacking, pressing, and more. You should also adapt your strategy according to your opponent's strengths and weaknesses.</li>
-<li><strong>How to earn more coins and rewards without hacking</strong>: The last thing you need to do is to earn more coins and rewards without hacking. You can earn coins by playing matches, completing objectives, winning trophies, and watching ads. You can also earn rewards by participating in events, achievements, leaderboards, and daily challenges. You can use these coins and rewards to buy players, kits, stadiums, and other items. You can also use them to unlock more features and modes in the game.</li>
-</ul>
-<h2>Conclusion and FAQs</h2>
-<p>In conclusion, Dream League Soccer 2021 is a great soccer game that lets you create your own team, compete in various leagues, and customize your players, kits, stadiums, and more. However, if you want to enjoy the game without any limitations, you might want to hack it and get unlimited coins. In this article, we showed you how to download and install the Dream League Soccer 2021 hack apk file, how to use the hack features, what are the benefits and risks of using it, and some tips and tricks to play the game like a pro.</p>
-<p>We hope you found this article helpful and informative. If you have any questions or comments about Dream League Soccer 2021 hack apk or the game itself, feel free to leave them below. We will try to answer them as soon as possible. Thank you for reading!</p>
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-<p>Here are some of the most frequently asked questions about Dream League Soccer 2021 hack apk:</p>
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-<li><strong>Is Dream League Soccer 2021 hack apk safe to use?</strong>: The answer depends on where you download the file from. If you download it from a reliable website that offers the latest version of the hack apk file with no malware or viruses, then it should be safe to use. However, if you download it from an unknown or suspicious source that may contain outdated or infected files, then it may not be safe to use.</li>
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-<li><strong>How can I uninstall Dream League Soccer 2021 hack apk?</strong>: The answer is that you need to delete the hack apk file from your device and reinstall the original game from the Google Play Store. You should also clear your device cache and data to remove any traces of the hack apk file. You should also backup your game progress and data before uninstalling the hack apk file, as you may lose them in the process.</li>
-<li><strong>Where can I find more information about Dream League Soccer 2021?</strong>: The answer is that you can visit the official website of Dream League Soccer 2021, which is [dreamleaguesoccer.com]. You can also follow their social media accounts, such as [Facebook], [Twitter], [Instagram], and [YouTube], for more news, updates, tips, and tricks about the game.</li>
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spaces/1phancelerku/anime-remove-background/Download Super Fancy Pants Adventure The Ultimate Free-Running Platformer.md DELETED Viewed

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-<h1>Download Super Fancy Pants Adventure</h1>
-<p>Are you looking for a wild free-running adventure with buttery smooth platforming and a slick fountain pen? If so, you should download Super Fancy Pants Adventure, the latest and greatest game in the Fancy Pants series. In this article, we will tell you what Super Fancy Pants Adventure is, how to download it, and why you should play it. Let's get started!</p>
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- <h2>What is Super Fancy Pants Adventure?</h2>
-<p>Super Fancy Pants Adventure is a 2D platform game that follows the adventures of Fancy Pants Man, a cool stickman character who wears awesome and colorful pants. You must help him work his way through a myriad of cool levels and avoid various obstacles, monsters, and creatures on his way. You can also collect squiggles, hats, and pants to customize your look and unlock new abilities.</p>
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-<p>The Fancy Pants Adventures series started over ten years ago by Brad Borne, an indie developer who wanted to redefine video game platforming by making speed and tight controls feel compatible. Over the years, he has honed his craft, turning his Fancy Pants games into a worldwide phenomenon with over 100 million plays and becoming one of the top games of all time on Kongregate. This newest version, Super Fancy Pants Adventure, is a culmination and a reimagining of the series into a full-fledged title.</p>
- <h3>The features and gameplay of Super Fancy Pants Adventure</h3>
-<p>Super Fancy Pants Adventure has many features that make it stand out from other platform games. Here are some of them:</p>
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-<li>So many levels! - 56 brand new levels of parkour platforming</li>
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-<li>New Moves! - Take control of Fancy Pants man with brand new combos and moves</li>
-<li>Secret Challenge Stages - Scattered throughout the world are secret doors to incredibly challenging bonus stages, awarding awesome prizes</li>
-<li>60fps gameplay - Perfectly smooth running for a perfectly smooth platformer</li>
-</ul>
-<p>The gameplay of Super Fancy Pants Adventure is fun and reminiscent of retro platform titles such as Sonic. You can run, jump, slide, wall-jump, and bounce your way through the levels, using your momentum and timing to overcome obstacles and enemies. You can also use your ink pen as a weapon to slash enemies or launch yourself into the air. The game has a fluid and responsive control system that makes you feel like you are in control of every move.</p>
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-<p>Super Fancy Pants Adventure is available for different platforms, such as PC, browser, and mobile devices. Here are some options for downloading the game:</p>
- <h3>Download options for different platforms</h3>
- <h4>Steam</h4>
-<p>If you want to play Super Fancy Pants Adventure on your PC, you can download it from Steam for $9.99. Steam is a digital distribution platform that allows you to buy and play games online. You will need to create a Steam account and install the Steam client on your PC before you can download the game. To download Super Fancy Pants Adventure from Steam, follow these steps:</p>
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-<li>Once the purchase is complete, you can find the game in your Steam library and click on the "Install" button</li>
-<li>Wait for the game to download and install, and then click on the "Play" button to launch the game</li>
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-<p>Congratulations, you have successfully downloaded Super Fancy Pants Adventure from Steam!</p>
- <h4>CrazyGames</h4>
-<p>If you want to play Super Fancy Pants Adventure on your browser, you can download it from CrazyGames for free. CrazyGames is a website that hosts thousands of free online games that you can play without downloading or installing anything. You will need to have a modern browser that supports HTML5 and Flash to play the game. To download Super Fancy Pants Adventure from CrazyGames, follow these steps:</p>
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-<li>Go to [the CrazyGames page] for Super Fancy Pants Adventure <li>Click on the blue "Play" button and wait for the game to load</li>
-<li>Click on the green "Play" button again and choose your preferred language</li>
-<li>Enjoy playing Super Fancy Pants Adventure on your browser!</li>
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-<p>That's it, you have successfully downloaded Super Fancy Pants Adventure from CrazyGames!</p>
- <h4>Google Play</h4>
-<p>If you want to play Super Fancy Pants Adventure on your mobile device, you can download it from Google Play for $4.99. Google Play is a digital store that allows you to buy and download apps and games for your Android device. You will need to have a Google account and a compatible device to download the game. To download Super Fancy Pants Adventure from Google Play, follow these steps:</p>
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-<li>Go to [the Google Play page] for Super Fancy Pants Adventure <li>Tap on the green "Install" button and then tap on the blue "Buy" button</li>
-<li>Enter your payment information and confirm your purchase</li>
-<li>Wait for the game to download and install, and then tap on the "Open" button to launch the game</li>
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-<p>Voila, you have successfully downloaded Super Fancy Pants Adventure from Google Play!</p>
- <h2>Tips and tricks for playing Super Fancy Pants Adventure</h2>
-<p>Now that you have downloaded Super Fancy Pants Adventure, you might be wondering how to play it like a pro. Don't worry, we have some tips and tricks for you that will help you master the game in no time. Here are some of them:</p>
- <h3>How to collect squiggles and unlock items</h3>
-<p>Squiggles are the currency of Super Fancy Pants Adventure. You can find them scattered throughout the levels, hidden in boxes, or dropped by enemies. You can use them to buy items from shops or unlock doors to challenge stages. The more squiggles you collect, the more items you can get. Some of the items you can get are:</p>
-<ul>
-<li>Pants - Different pants have different effects on your speed, jump height, slide length, etc.</li>
-<li>Hats - Different hats have different effects on your ink pen, such as changing its color, size, shape, etc.</li>
-<li>Trophies - Trophies are collectibles that show your achievements in the game, such as completing levels, defeating bosses, finding secrets, etc.</li>
-</ul>
-<p>To collect squiggles and unlock items, you should explore every corner of the levels, break every box, defeat every enemy, and look for hidden doors. You should also replay levels to find more squiggles or items that you might have missed.</p>
- <h3>How to find secret doors and bonus levels</h3>
-<p>Secret doors are hidden entrances that lead to bonus levels. Bonus levels are extra stages that offer more challenges and rewards. They usually have a theme or a gimmick that makes them different from regular levels. For example, some bonus levels are underwater, some are in space, some are in black and white, etc. You can find secret doors by looking for clues in the environment, such as cracks in walls, signs, arrows, etc. You can also use your ink pen to draw on walls or floors to reveal hidden paths or switches. Some secret doors require a certain number of squiggles or a certain item to open.</p>
- <h3>How to use your ink pen as a weapon</h3>
-<p>Your ink pen is not only a tool for drawing, but also a weapon for fighting. You can use it to slash enemies with a swipe of your finger or mouse. You can also use it to launch yourself into the air by drawing a line under yourself and jumping on it. You can also use it to draw platforms, bridges, ramps, or walls to help you navigate the levels. Your ink pen has a limited amount of ink, so you need to refill it by collecting ink bottles or visiting ink stations. You can also upgrade your ink pen by buying different hats that change its properties.</p>
- <h2>Why you should download Super Fancy Pants Adventure?</h2>
-<p>Super Fancy Pants Adventure is a game that you should not miss if you love platform games. It has many benefits that make it worth playing, such as:</p>
- <h3>The benefits of playing Super Fancy Pants Adventure</h3>
- <h4>It's fun and challenging</h4>
-<p>Super Fancy Pants Adventure is a game that will keep you entertained and engaged for hours. It has a variety of levels that offer different challenges and surprises. You will never get bored or frustrated, as the game has a balanced difficulty curve and a fair checkpoint system. You will also have fun discovering secrets, collecting items, and defeating enemies.</p>
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-<p>Super Fancy Pants Adventure is a game that will dazzle your eyes with its vibrant and unique art style. It has a hand-drawn aesthetic that gives it a charming and whimsical feel. It also has a dynamic and fluid animation that makes the game look alive and smooth. The game also has a catchy and upbeat soundtrack that matches the mood and tone of the game.</p>
- <h4>It's a culmination of a decade of work</h4>
-<p>Super Fancy Pants Adventure is a game that represents the passion and dedication of its creator, Brad Borne. It is the result of over ten years of work, improving and expanding on his previous Fancy Pants games. It is also the ultimate version of the game, with more content, features, and polish than ever before. It is a game that deserves your support and appreciation.</p>
- <h1>Conclusion</h1>
-<p>Super Fancy Pants Adventure is a game that you should download and play right now. It is a 2D platform game that follows the adventures of Fancy Pants Man, a cool stickman character who wears awesome and colorful pants. You can help him work his way through a myriad of cool levels and avoid various obstacles, monsters, and creatures on his way. You can also collect squiggles, hats, and pants to customize your look and unlock new abilities. You can use your ink pen as a tool and a weapon to draw and slash your way through the game. The game has many features that make it stand out from other platform games, such as its hand-drawn style, its fluid gameplay, its secret levels, its 60fps performance, and more. The game is available for different platforms, such as PC, browser, and mobile devices. You can download it from Steam, CrazyGames, or Google Play for a reasonable price. The game is fun and challenging, colorful and stylish, and a culmination of a decade of work. It is a game that you will not regret playing.</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions about Super Fancy Pants Adventure:</p>
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-<li><b>Q: How long is Super Fancy Pants Adventure?</b></li>
-<li>A: Super Fancy Pants Adventure has 56 levels in total, plus some secret levels and challenge stages. The length of the game depends on how fast you play and how much you explore, but it can take anywhere from 4 to 10 hours to complete.</li>
-<li><b>Q: Is Super Fancy Pants Adventure multiplayer?</b></li>
-<li>A: Super Fancy Pants Adventure does not have a multiplayer mode at the moment, but it might be added in the future as an update or a DLC.</li>
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-<li>A: Super Fancy Pants Adventure is suitable for kids of all ages. It has no violence, gore, or inappropriate content. It is rated E for Everyone by the ESRB.</li>
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-<li><b>Q: Where can I find more information about Super Fancy Pants Adventure?</b></li>
-<li>A: You can find more information about Super Fancy Pants Adventure on its [official website], its [Steam page], or its [Facebook page].</li>
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spaces/1phancelerku/anime-remove-background/Download and Edit Green Screen Video in KineMaster A Complete Guide.md DELETED Viewed

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-<ul>
-<li>It allows you to change the background of your video without having to travel or build sets.</li>
-<li>It allows you to create scenes that are impossible or dangerous to film in real life.</li>
-<li>It allows you to add elements that are not available or too expensive to obtain.</li>
-<li>It allows you to enhance the mood and atmosphere of <p>your video with different backgrounds.</li>
-<li>It allows you to experiment and have fun with your video editing.</li>
-</ul>
-<p>As you can see, green screen video can help you create amazing videos with minimal effort and cost. All you need is a green screen video, a video editor that supports chroma keying, and some creativity.</p>
- <h2>What is KineMaster and How to Use It?</h2>
-<p>KineMaster is a powerful and easy-to-use video editing app for Android and iOS devices. It allows you to edit and share your videos with professional-quality tools and features. Some of the features of KineMaster are:</p>
-<ul>
-<li>It supports multiple layers of video, audio, images, stickers, text, and handwriting.</li>
-<li>It has a variety of transitions, effects, filters, animations, and music to enhance your videos.</li>
-<li>It has a chroma key feature that lets you use green screen video and create amazing visual effects.</li>
-<li>It has a voice changer feature that lets you change your voice and add sound effects to your videos.</li>
-<li>It has a speed control feature that lets you adjust the speed of your videos.</li>
-<li>It has a reverse feature that lets you play your videos backwards.</li>
-<li>It has a trim, split, crop, rotate, and resize feature that lets you edit your videos easily.</li>
-<li>It has a frame-by-frame editing feature that lets you edit your videos precisely.</li>
-<li>It has an export feature that lets you save your videos in various resolutions and formats.</li>
-<li>It has a share feature that lets you share your videos directly to social media platforms such as YouTube, Facebook, Instagram, TikTok, and more.</li>
-</ul>
-<p>To use KineMaster, you need to download and install the app from the Google Play Store or the App Store. Once you open the app, you will see a welcome screen that gives you the option to start a new project or edit an existing one. To start a new project, tap on the plus icon and choose the aspect ratio of your video. You can choose from 16:9, 9:16, or 1:1. Then, you will enter the editing interface where you can add and edit your media files. To add a media file, tap on the media icon on the top left corner and select the file from your device or from the KineMaster Asset Store. To edit a media file, tap on it and use the tools on the right side of the screen. You can also use the timeline at the bottom of the screen to arrange and trim your media files. To preview your video, tap on the play icon on the top right corner. To export your video, tap on the share icon on the top right corner and choose the resolution, frame rate, bitrate, and format of your video. Then, tap on export and wait for your video to be saved. You can also share your video directly to social media platforms from there.</p>
- <h2>How to Download Green Screen Video from Pixabay</h2>
-<p>Pixabay is a website that offers free stock photos, videos, illustrations, vectors, and music. You can use Pixabay to download free green screen video for your projects. Here are the steps to download green screen video from Pixabay:</p>
-<ol>
-<li>Go to <a href="">Pixabay.com</a> and create an account or log in if you already have one.</li>
-<li>In the search bar at the top of the page, type "green screen" and hit enter.</li>
-<li>You will see a list of green screen videos that match your search query. You can use the filters on the left side of the page to narrow down your results by category, orientation, duration, resolution, color, etc.</li>
-<li>Once you find a green screen video that you like, click on it to open its details page.</li>
-<li>On the details page, you will see a preview of the video, its resolution, duration, size, license type, tags, etc. You will also see a download button below the preview.</li>
-<li>To download the green screen video, click on the download button and choose the resolution that you want. You will see a pop-up window asking you to confirm that you are not a robot. Check the box and click on download again.</li>
-<li>The green screen video will be downloaded to your device or browser's default download folder. You can then transfer it to your mobile device or use it directly in KineMaster if you are using a web browser on your mobile device.</li>
-</ol>
- <h2>How to Download Green Screen Video from Canva</h2>
-<p>Canva is a website that offers graphic design tools and templates for various purposes. You can use Canva to download free green screen video for your projects. Here are the steps to download green screen video from Canva:</p>
-<ol>
-<li>Go to <a href="">Canva.com</a> and create an account or log in if you already have one.</li>
-<li>In the search bar at the top of the page, type "green screen" and hit enter.</li>
-<li>You will see a list of green screen templates that match your search query. You can use the filters on the left side of the page to narrow down your results by category, size, color, etc.</li>
-<li>Once you find a green screen template that you like, click on it to open it in the editor.</li>
-<li>In the editor, you can customize the green screen template by adding or removing elements, changing colors, fonts, sizes, etc. You can also add your own media files by clicking on the upload icon on the left side of the screen.</li>
-<li>When you are happy with your green screen template, click on the download icon on the top right corner of the screen.</li>
-<li>To download the green screen video, choose MP4 as the file type and click on download. You will see a pop-up window showing the progress of your download.</li>
-<li>The green screen video will be downloaded to your device or browser's default download folder. You can then transfer it to your mobile device or use it directly in KineMaster if you are using a web browser on your mobile device.</li>
-</ol>
- <h2>How to Download Green Screen Video from Pexels</h2>
-<p>Pexels is a website that offers high-quality stock photos and videos for free. You can use Pexels to download free green screen video for your projects. Here are the steps to download green screen video from Pexels:</p>
-<ol>
-<li>Go to <a href="">Pexels.com</a> and create an account or log in if you already have one.</li>
-<li>In the search bar at the top of the page, type "green screen" and hit enter.</li>
-<li>You will see a list of green screen videos that match your search query. You can use the filters on the top of the page to narrow down your results by orientation, size, duration, etc.</li>
-<li>Once you find a green screen video that you like, click on it to open its details page.</li>
-<li>On the details page, you will see a preview of the video, its resolution, duration, size, license type, tags, etc. You will also see a free download button below the preview.</li>
-<li>To download the green screen video, click on the free download button and choose the resolution that you want. You will see a pop-up window asking you to credit the creator of the video. You can copy and paste the credit text or skip this step if you don't want to credit them.</li>
-<li>The green screen video will be downloaded to your device or browser's default download folder. You can then transfer it to your mobile device or use it directly in KineMaster if you are using a web browser on your mobile device.</li>
-</ol>
- <h2>How to Use Green Screen Video in KineMaster</h2>
-<p>Now that you have downloaded some green screen videos for your projects, you can use them in KineMaster to create amazing visual effects. Here is how to use green screen video in KineMaster:</p>
- <h3>How to Import Green Screen Video in KineMaster</h3>
-<p>To import green screen video in KineMaster, follow these steps:</p>
-<ol>
-<li>Open KineMaster and start a new project or edit an existing one.</li>
-<li>In the editing interface, tap on the media icon on the top left corner and select the green screen video from your device or from the KineMaster Asset Store.</li>
-<li>The green screen video will be added to your project as a layer on top of your main video. You can drag and drop it to adjust its position and duration on the timeline.</li>
-</ol>
- <h3>How to Edit Green Screen Video in KineMaster</h3>
-<p>To edit green screen video in KineMaster, follow these steps:</p>
-<ol>
-<li>Tap on the green screen video layer and use the tools on the right side of the screen to edit the green screen video. You can adjust the settings, trim, crop, rotate, and resize the green screen video according to your needs.</li>
-<li>To adjust the settings, tap on the settings icon and use the sliders to change the brightness, contrast, saturation, hue, and opacity of the green screen video.</li>
-<li>To trim the green screen video, tap on the scissors icon and drag the handles to cut the unwanted parts of the video.</li>
-<li>To crop the green screen video, tap on the crop icon and drag the corners to crop the video to your desired size.</li>
-<li>To rotate the green screen video, tap on the rotate icon and use the circular slider to rotate the video clockwise or counterclockwise.</li>
-<li>To resize the green screen video, tap on the resize icon and use the pinch gesture to zoom in or out of the video.</li>
-</ol>
- <h3>How to Apply Green Screen Video in KineMaster</h3>
-<p>To apply green screen video in KineMaster, follow these steps:</p>
-<ol>
-<li>Tap on the green screen video layer and tap on the chroma key icon on the right side of the screen. This will open a menu with various options for using the chroma key feature.</li>
-<li>Turn on the chroma key switch to enable the feature. You will see that the green background of the video will disappear and you will see your main video behind it.</li>
-<li>Use the color picker tool to select the exact color of the green background that you want to remove. You can also use the eyedropper tool to pick a color from the video itself.</li>
-<li>Use the sliders to adjust the chroma key settings such as threshold, blending, detail, and spill. These settings will help you fine-tune the green screen effect and make it more realistic and seamless.</li>
-<li>You can also use the mask tool to erase or restore parts of the green screen video that you want to keep or remove. This will help you fix any errors or glitches in the green screen effect.</li>
-<li>Once you are satisfied with your green screen effect, tap on done to apply it to your project. You can then preview your video and see how it looks with your new background.</li>
-</ol>
- <h2>Tips and Tricks for Using Green Screen Video in KineMaster</h2>
-<p>Using green screen video in KineMaster can help you create amazing videos with visual effects. However, there are some tips and tricks that you should know to make your videos look even better. Here are some of them:</p>
- <h3>How to Choose the Right Green Screen Video for Your Project</h3>
-<p>Choosing the right green screen video for your project is important because it will affect how your final video will look. Here are some factors that you should consider when choosing a green screen video:</p>
-<ul>
-<li>Resolution: Choose a green screen video that has a high resolution that matches or exceeds your main video resolution. This will ensure that your green screen video will look clear and sharp in your final video.</li>
-<li>Duration: Choose a green screen video that has a duration that matches or exceeds your main video duration. This will ensure that your green screen video will cover your entire main video without repeating or cutting off.</li>
-<li>Lighting: Choose a green screen video that has a consistent and even lighting that matches or complements your main video lighting. This will ensure that your green screen effect will look natural and realistic in your final video.</li>
-<li>Motion: Choose a green screen video that has a motion that matches or complements your main video motion. This will ensure that your green screen effect will look smooth and dynamic in your final video.</li>
-<li>Content: Choose a green screen video that has a content that matches or complements your main video content. This will ensure that your green screen effect will look relevant and appropriate in your final video.</li>
-</ul>
- <h3>How to Enhance the Green Screen Effect in KineMaster</h3>
-<p>Enhancing the green screen effect in KineMaster can help you make your videos look more professional and creative. Here are some ways to enhance the green screen effect in KineMaster:</p>
-<ul>
-<li>Adjust the chroma key settings: You can fine-tune the chroma key settings such as threshold, blending, detail, and spill to make your green screen effect more realistic and seamless. You can also use the mask tool to erase or restore parts of the green screen video that you want to keep or remove.</li>
-<li>Add filters: You can add filters to your green screen video or your main video to change the color, tone, mood, or style of your video. You can also use the blending modes to change how the green screen video interacts with the main video.</li>
-<li>Add transitions: You can add transitions to your green screen video or your main video to create smooth and dynamic changes between scenes. You can also use the transition effects to create interesting and unique effects with your green screen video.</li>
-<li>Add effects: You can add effects to your green screen video or your main video to add some flair and fun to your video. You can also use the effect layers to create custom effects with your green screen video.</li>
-<li>Add animations: You can add animations to your green screen video or your main video to make them move and transform in different ways. You can also use the animation curves to control the speed and direction of your animations.</li>
-</ul>
- <h3>How to Avoid Common Mistakes When Using Green Screen Video in KineMaster</h3>
-<p>Avoiding common mistakes when using green screen video in KineMaster can help you avoid errors and glitches in your final video. Here are some common mistakes to avoid when using green screen video in KineMaster:</p>
-<ul>
-<li>Poor lighting: Poor lighting can cause shadows, reflections, wrinkles, spills, and edges on your green screen video, making it harder to remove the background and create a realistic effect. To avoid this, make sure that your green screen video has a consistent and even lighting that matches or complements your main video lighting.</li>
-<li>Wrong color: Wrong color can cause parts of your green screen video that are not supposed to be removed to be removed, or parts of your main video that are supposed to be visible to be hidden. To avoid this, make sure that you use a pure green color for your green screen video and that you avoid wearing or using anything that is similar to the green color.</li>
-<li>Low resolution: Low resolution can cause your green screen video to look blurry, pixelated, or distorted in your final video. To avoid this, make sure that you use a high resolution green screen video that matches or exceeds your main video resolution.</li>
-<li>Wrong aspect ratio: Wrong aspect ratio can cause your green screen video to look stretched, squashed, or cropped in your final video. To avoid this, make sure that you use a green screen video that has the same aspect ratio as your main video or that you crop or resize it accordingly.</li>
-<li>Wrong position: Wrong position can cause your green screen video to look out of place, unnatural, or unrealistic in your final video. To avoid this, make sure that you position your green screen video correctly according to the perspective, angle, and scale of your main video.</li>
-</ul>
- <h2>Conclusion</h2>
-<p>Using green screen video in KineMaster is a great way to create amazing videos with visual effects. You can download free green screen videos from websites such as Pixabay, Canva, and Pexels and use them in KineMaster with the chroma key feature. You can also edit, apply, and enhance the green screen effect in KineMaster with various tools and features. By following this guide, you will be able to create stunning videos with green screen effects in no time.</p>
-<p>If you found this article helpful, please share it with your friends and family who might be interested in learning how to use green screen video in KineMaster. Also, feel free to leave a comment below if you have any questions or feedback about this article. Thank you for reading and happy editing!</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions about using green screen video in KineMaster:</p>
- <h4>Q: How do I get rid of the watermark on my KineMaster videos?</h4>
-<p>A: To get rid of the watermark on your KineMaster videos, you need to purchase a premium subscription from the KineMaster app. The premium subscription will also give you access to more features and assets from the KineMaster Asset Store.</p>
- <h4>Q: How do I add audio to my KineMaster videos?</h4>
-<p>A: To add audio to your KineMaster videos, you need to tap on the audio icon on the top left corner and select the audio file from your device or from the KineMaster Asset Store. The audio file will be added to your project as a layer below your video layers. You can drag and drop it to adjust its position and duration on the timeline. You can also tap on it and use the tools on the right side of the screen to edit the audio file. You can adjust the volume, speed, pitch, fade in, fade out, and trim the audio file according to your needs.</p>
- <h4>Q: How do I export my KineMaster videos to my device or social media platforms?</h4>
-<p>A: To export your KineMaster videos to your device or social media platforms, you need to tap on the share icon on the top right corner of the screen and choose the resolution, frame rate, bitrate, and format of your video. Then, tap on export and wait for your video to be saved. You can also share your video directly to social media platforms such as YouTube, Facebook, Instagram, TikTok, and more from there.</p>
- <h4>Q: How do I find more green screen videos for my KineMaster projects?</h4>
-<p>A: To find more green screen videos for your KineMaster projects, you can use websites such as Pixabay, Canva, and Pexels that offer free stock videos. You can also use websites such as YouTube, Vimeo, and Dailymotion that have user-generated videos. You can also create your own green screen videos by using a green cloth or paper as a background and filming yourself or other objects in front of it.</p>
- <h4>Q: How do I learn more about using KineMaster and its features?</h4>
-<p>A: To learn more about using KineMaster and its features, you can visit the official website of KineMaster at <a href="">KineMaster.com</a> where you can find tutorials, tips, FAQs, and support. You can also join the KineMaster community on social media platforms such as Facebook, Instagram, Twitter, YouTube, and TikTok where you can interact with other users, share your videos, get feedback, and learn from others.</p> 197e85843d<br />
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spaces/1phancelerku/anime-remove-background/Dragon Ball Legends Mugen APK How to Download and Play the Best Dragon Ball Game Ever.md DELETED Viewed

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-<h1>Download Dragon Ball Legends Mugen APK: A Guide for Android Users</h1>
-<p>If you are a fan of the Dragon Ball anime and manga series, you might have heard of Dragon Ball Legends Mugen. It is a fan-made game that features hundreds of characters from the Dragon Ball universe, as well as original ones created by the developers. You can enjoy thrilling fights, stunning graphics, and customizable options in this game. In this article, we will show you how to download and install Dragon Ball Legends Mugen APK on your Android device, as well as why you should play it and some tips and tricks for playing it.</p>
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-<p>Dragon Ball Legends Mugen is a 2D fighting game that is based on the M.U.G.E.N engine, which allows users to create their own games and characters. The game was developed by a team of fans who wanted to create a tribute to the Dragon Ball franchise. The game has been in development since 2018, and has received several updates and improvements over time.</p>
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-<li>After the installation is done, launch the game from your app drawer or home screen.</li>
-<li>Enjoy playing Dragon Ball Legends Mugen on your Android device!</li>
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- <h2>Why you should play Dragon Ball Legends Mugen</h2>
-<p>Dragon Ball Legends Mugen is not just another fan-made game. It is a game that offers a lot of fun and excitement for Dragon Ball fans and fighting game enthusiasts alike. Here are some reasons why you should play it:</p>
- <h3>Enjoy the epic battles of Dragon Ball characters</h3>
-<p>If you have ever dreamed of seeing your favorite Dragon Ball characters fight each other in a realistic way, then this game is for you . You can choose from a wide range of characters, each with their own strengths and weaknesses, and unleash their signature moves and transformations. You can also switch between different forms and fuse with other characters to gain an edge in battle. The game's physics and collision system make the fights more realistic and dynamic, as you can interact with the environment and cause damage to the stage.</p>
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-<p>If you want to unleash your creativity and make your own Dragon Ball characters and stages, you can do so in the custom mode. The game's editor allows you to modify the appearance, stats, moves, and sounds of any character in the game, or create a new one from scratch. You can also design your own stages using different backgrounds, music, and effects. You can then save your creations and share them with other players online.</p>
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-<p>Whether you want to play solo or with others, Dragon Ball Legends Mugen has you covered. You can play offline in various modes, such as Arcade, Survival, Team Battle, Training, or Watch Mode, where you can watch the computer-controlled characters fight each other. You can also play online with friends or strangers in Online Mode, where you can chat, challenge, and cooperate with other players. The game's netcode is optimized to ensure a smooth and lag-free experience.</p>
- <h2>Tips and tricks for playing Dragon Ball Legends Mugen</h2>
-<p>Dragon Ball Legends Mugen is a game that requires skill and strategy to master. Here are some tips and tricks that can help you improve your gameplay:</p>
- <h3>Learn the basic controls and combos</h3>
-<p>The game's controls are simple and intuitive, but you need to practice them to execute them properly. The game uses four buttons: A, B, C, and D. A is for light attacks, B is for medium attacks, C is for heavy attacks, and D is for special attacks. You can also use the directional keys to perform different actions, such as jumping, crouching, dashing, blocking, etc. You can combine these buttons and directions to perform various combos and moves. You can check the move list of each character in the pause menu or in the editor.</p>
- <h3>Use the power-ups and items wisely</h3>
-<p>The game features various power-ups and items that can help you in battle. These include health bars, energy bars, senzu beans, dragon balls, capsules, etc. You can find them randomly on the stage or by breaking objects. You can use them by pressing the D button near them. However, be careful not to waste them or let your opponent get them. Some items have negative effects as well, such as bombs or traps.</p>
- <h3>Experiment with different modes and settings</h3>
-<p>The game offers a lot of options and settings that can change the way you play. You can adjust the difficulty level, the number of rounds, the time limit, the damage ratio, the AI behavior, etc. You can also enable or disable certain features, such as transformations, fusions, power-ups, items, etc. You can also change the graphics quality, the sound volume, the screen size, etc. You can access these options from the main menu or the pause menu.</p>
- <h2>Conclusion</h2>
-<p>Dragon Ball Legends Mugen is a fan-made game that pays homage to the Dragon Ball franchise. It is a 2D fighting game that features over 500 characters from the series, as well as original ones created by the developers. You can enjoy epic battles , stunning graphics, and customizable options in this game. You can also play offline or online with friends, and create your own fighters and stages. The game is easy to download and install on your Android device, and it is regularly updated with new content and fixes. If you are looking for a fun and exciting game that celebrates the Dragon Ball universe, you should definitely try Dragon Ball Legends Mugen.</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions about Dragon Ball Legends Mugen:</p>
-<ul>
-<li><b>Q: Is Dragon Ball Legends Mugen free to play?</b></li>
-<li>A: Yes, the game is completely free to play. You don't need to pay anything to download or play it.</li>
-<li><b>Q: Is Dragon Ball Legends Mugen safe to download and install?</b></li>
-<li>A: Yes, the game is safe to download and install, as long as you use a reliable source. The game does not contain any viruses or malware, and it does not require any special permissions or access to your device.</li>
-<li><b>Q: How can I update Dragon Ball Legends Mugen?</b></li>
-<li>A: The game has an auto-update system that checks for new versions and downloads them automatically. You can also manually check for updates from the main menu or the pause menu.</li>
-<li><b>Q: How can I contact the developers of Dragon Ball Legends Mugen?</b></li>
-<li>A: You can contact the developers of the game through their official website, [this link], or their social media accounts, such as Facebook, Twitter, YouTube, etc.</li>
-<li><b>Q: How can I support the development of Dragon Ball Legends Mugen?</b></li>
-<li>A: You can support the development of the game by donating to the developers through their website, [this link], or by sharing the game with your friends and giving feedback and suggestions.</li>
-</ul></p> 401be4b1e0<br />
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spaces/1phancelerku/anime-remove-background/Enjoy Free Walking Car Tuning and Multiplayer Mode with Unlimited Money Car Parking Multiplayer Download.md DELETED Viewed

@@ -1,76 +0,0 @@
-<h1>How to Download Unlimited Money Car Parking Multiplayer</h1>
-<p>Car Parking Multiplayer is a popular open-world simulation game that lets you drive, park, and customize various cars in realistic environments. However, if you want to enjoy the game without any limitations, you might want to download unlimited money car parking multiplayer mod apk. This mod apk will give you access to unlimited coins and diamonds, which you can use to buy new cars, upgrade your existing ones, and unlock new features. In this article, we will show you how to download unlimited money car parking multiplayer mod apk and what are the benefits of doing so.</p>
-<h2>download unlimited money car parking multiplayer</h2><br /><p><b><b>Download Zip</b> &gt; <a href="https://jinyurl.com/2uNUhj">https://jinyurl.com/2uNUhj</a></b></p><br /><br />
- <h2>What is Car Parking Multiplayer?</h2>
-<p>Car Parking Multiplayer is a game developed by olzhass, which is available for both Android and iOS devices . The game has more than 100 million downloads on Google Play Store and has a rating of 4.4 out of 5 stars. The game offers a realistic and immersive experience of driving, parking, and tuning cars in various scenarios. Some of the features of the game are:</p>
-<ul>
-<li>Multiplayer open world mode: You can free walk, explore, and interact with other players in a large open world with real gas stations and car services. You can also compete against other players in multiplayer racing, exchange cars with them, or join them in police mode or role play mode.</li>
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-</ul>
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-</ul>
- <h2>Conclusion</h2>
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- <h2>FAQs</h2>
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-<table>
-<tr><td><b>Question</b></td><td><b>Answer</b></td></tr>
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-<tr><td>What are the benefits of unlimited money car parking multiplayer mod apk?</td><td>You can enjoy the game without any limitations or restrictions. You can buy any car you want, upgrade it to the max level, or customize it to your liking. You can also unlock all the features of the game such as drone mode, daily tasks and rewards, character customization, animations, and more.</td></tr>
-</table></p> 197e85843d<br />
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spaces/1toTree/lora_test/ppdiffusers/utils/dummy_paddle_and_paddlenlp_and_fastdeploy_objects.py DELETED Viewed

@@ -1,94 +0,0 @@
-# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
-# Copyright 2022 The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
-from . import DummyObject, requires_backends
-class FastDeployStableDiffusionImg2ImgPipeline(metaclass=DummyObject):
-    _backends = ["paddle", "paddlenlp", "fastdeploy"]
-    def __init__(self, *args, **kwargs):
-        requires_backends(self, ["paddle", "paddlenlp", "fastdeploy"])
-    @classmethod
-    def from_config(cls, *args, **kwargs):
-        requires_backends(cls, ["paddle", "paddlenlp", "fastdeploy"])
-    @classmethod
-    def from_pretrained(cls, *args, **kwargs):
-        requires_backends(cls, ["paddle", "paddlenlp", "fastdeploy"])
-class FastDeployStableDiffusionInpaintPipeline(metaclass=DummyObject):
-    _backends = ["paddle", "paddlenlp", "fastdeploy"]
-    def __init__(self, *args, **kwargs):
-        requires_backends(self, ["paddle", "paddlenlp", "fastdeploy"])
-    @classmethod
-    def from_config(cls, *args, **kwargs):
-        requires_backends(cls, ["paddle", "paddlenlp", "fastdeploy"])
-    @classmethod
-    def from_pretrained(cls, *args, **kwargs):
-        requires_backends(cls, ["paddle", "paddlenlp", "fastdeploy"])
-class FastDeployStableDiffusionInpaintPipelineLegacy(metaclass=DummyObject):
-    _backends = ["paddle", "paddlenlp", "fastdeploy"]
-    def __init__(self, *args, **kwargs):
-        requires_backends(self, ["paddle", "paddlenlp", "fastdeploy"])
-    @classmethod
-    def from_config(cls, *args, **kwargs):
-        requires_backends(cls, ["paddle", "paddlenlp", "fastdeploy"])
-    @classmethod
-    def from_pretrained(cls, *args, **kwargs):
-        requires_backends(cls, ["paddle", "paddlenlp", "fastdeploy"])
-class FastDeployStableDiffusionMegaPipeline(metaclass=DummyObject):
-    _backends = ["paddle", "paddlenlp", "fastdeploy"]
-    def __init__(self, *args, **kwargs):
-        requires_backends(self, ["paddle", "paddlenlp", "fastdeploy"])
-    @classmethod
-    def from_config(cls, *args, **kwargs):
-        requires_backends(cls, ["paddle", "paddlenlp", "fastdeploy"])
-    @classmethod
-    def from_pretrained(cls, *args, **kwargs):
-        requires_backends(cls, ["paddle", "paddlenlp", "fastdeploy"])
-class FastDeployStableDiffusionPipeline(metaclass=DummyObject):
-    _backends = ["paddle", "paddlenlp", "fastdeploy"]
-    def __init__(self, *args, **kwargs):
-        requires_backends(self, ["paddle", "paddlenlp", "fastdeploy"])
-    @classmethod
-    def from_config(cls, *args, **kwargs):
-        requires_backends(cls, ["paddle", "paddlenlp", "fastdeploy"])
-    @classmethod
-    def from_pretrained(cls, *args, **kwargs):
-        requires_backends(cls, ["paddle", "paddlenlp", "fastdeploy"])

spaces/1vash/demo-flask-docker-template/templates/index.html DELETED Viewed

@@ -1,32 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-  <head>
-    <meta charset="UTF-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Flask API</title>
-<!--    304 status codes indicate that the files are being cached by the browser. There is no error or issue to be concerned about in this case.-->
-    <link rel="stylesheet" href="{{ url_for('static', filename='style.css') }}" />
-    <script type="module" src="{{ url_for('static', filename='script.js') }}"></script>
-  </head>
-  <body>
-    <main>
-      <section id="text-gen">
-        <h1>🤗 Image Classification of MNIST digits 🤗</h1>
-        <p>
-          Model:
-          <a
-              href="https://huggingface.co/1vash/mnist_demo_model"
-              rel="noreferrer"
-              target="_blank"
-            >1vash/mnist_demo_model</a
-          >
-        </p>
-        <form class="image-upload-form" action="/predict" method="POST" enctype="multipart/form-data">
-          <label for="image-upload-input">Upload an image:</label>
-          <input id="image-upload-input" type="file" accept="image/*" name="image" />
-          <button id="image-upload-submit">Upload</button>
-        </form>
-      </section>
-    </main>
-  </body>
-</html>

spaces/7hao/bingo/src/components/toaster.tsx DELETED Viewed

@@ -1,3 +0,0 @@
-'use client'
-export { Toaster } from 'react-hot-toast'

spaces/AIConsultant/MusicGen/audiocraft/modules/activations.py DELETED Viewed

@@ -1,96 +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 torch
-import torch.nn as nn
-from torch import Tensor
-from typing import Union, Callable
-class CustomGLU(nn.Module):
-    """Custom Gated Linear Unit activation.
-    Applies a modified gated linear unit :math:`a * f(b)` where :math:`a` is the first half
-    of the input matrices, :math:`b` is the second half, and :math:`f` is a provided activation
-    function (i.e. sigmoid, swish, etc.).
-    Args:
-        activation (nn.Module): The custom activation to apply in the Gated Linear Unit
-        dim (int): the dimension on which to split the input. Default: -1
-    Shape:
-        - Input: :math:`(\ast_1, N, \ast_2)` where `*` means, any number of additional
-          dimensions
-        - Output: :math:`(\ast_1, M, \ast_2)` where :math:`M=N/2`
-    Examples::
-        >>> m = CustomGLU(nn.Sigmoid())
-        >>> input = torch.randn(4, 2)
-        >>> output = m(input)
-    """
-    def __init__(self, activation: nn.Module, dim: int = -1):
-        super(CustomGLU, self).__init__()
-        self.dim = dim
-        self.activation = activation
-    def forward(self, x: Tensor):
-        assert x.shape[self.dim] % 2 == 0  # M = N / 2
-        a, b = torch.chunk(x, 2, dim=self.dim)
-        return a * self.activation(b)
-class SwiGLU(CustomGLU):
-    """SiLU Gated Linear Unit activation.
-    Applies SiLU Gated Linear Unit :math:`a * SiLU(b)` where :math:`a` is
-    the first half of the input matrices, :math:`b` is the second half.
-    Args:
-        dim (int): the dimension on which to split the input. Default: -1
-    """
-    def __init__(self, dim: int = -1):
-        super(SwiGLU, self).__init__(nn.SiLU(), dim)
-class GeGLU(CustomGLU):
-    """GeLU Gated Linear Unit activation.
-    Applies GeLU Gated Linear Unit :math:`a * GELU(b)` where :math:`a` is
-    the first half of the input matrices, :math:`b` is the second half.
-    Args:
-        dim (int): the dimension on which to split the input. Default: -1
-    """
-    def __init__(self, dim: int = -1):
-        super(GeGLU, self).__init__(nn.GELU(), dim)
-class ReGLU(CustomGLU):
-    """ReLU Gated Linear Unit activation.
-    Applies ReLU Gated Linear Unit :math:`a * ReLU(b)` where :math:`a` is
-    the first half of the input matrices, :math:`b` is the second half.
-    Args:
-        dim (int): the dimension on which to split the input. Default: -1
-    """
-    def __init__(self, dim: int = -1):
-        super(ReGLU, self).__init__(nn.ReLU(), dim)
-def get_activation_fn(
-    activation: Union[str, Callable[[Tensor], Tensor]]
-) -> Union[str, Callable[[Tensor], Tensor]]:
-    """Helper function to map an activation string to the activation class.
-    If the supplied activation is not a string that is recognized, the activation is passed back.
-    Args:
-        activation (str, or Callable[[Tensor], Tensor]): Activation to check
-    """
-    if isinstance(activation, str):
-        if activation == "reglu":
-            return ReGLU()
-        elif activation == "geglu":
-            return GeGLU()
-        elif activation == "swiglu":
-            return SwiGLU()
-    return activation

spaces/AIGText/GlyphControl/ldm/lr_scheduler.py DELETED Viewed

@@ -1,98 +0,0 @@
-import numpy as np
-class LambdaWarmUpCosineScheduler:
-    """
-    note: use with a base_lr of 1.0
-    """
-    def __init__(self, warm_up_steps, lr_min, lr_max, lr_start, max_decay_steps, verbosity_interval=0):
-        self.lr_warm_up_steps = warm_up_steps
-        self.lr_start = lr_start
-        self.lr_min = lr_min
-        self.lr_max = lr_max
-        self.lr_max_decay_steps = max_decay_steps
-        self.last_lr = 0.
-        self.verbosity_interval = verbosity_interval
-    def schedule(self, n, **kwargs):
-        if self.verbosity_interval > 0:
-            if n % self.verbosity_interval == 0: print(f"current step: {n}, recent lr-multiplier: {self.last_lr}")
-        if n < self.lr_warm_up_steps:
-            lr = (self.lr_max - self.lr_start) / self.lr_warm_up_steps * n + self.lr_start
-            self.last_lr = lr
-            return lr
-        else:
-            t = (n - self.lr_warm_up_steps) / (self.lr_max_decay_steps - self.lr_warm_up_steps)
-            t = min(t, 1.0)
-            lr = self.lr_min + 0.5 * (self.lr_max - self.lr_min) * (
-                    1 + np.cos(t * np.pi))
-            self.last_lr = lr
-            return lr
-    def __call__(self, n, **kwargs):
-        return self.schedule(n,**kwargs)
-class LambdaWarmUpCosineScheduler2:
-    """
-    supports repeated iterations, configurable via lists
-    note: use with a base_lr of 1.0.
-    """
-    def __init__(self, warm_up_steps, f_min, f_max, f_start, cycle_lengths, verbosity_interval=0):
-        assert len(warm_up_steps) == len(f_min) == len(f_max) == len(f_start) == len(cycle_lengths)
-        self.lr_warm_up_steps = warm_up_steps
-        self.f_start = f_start
-        self.f_min = f_min
-        self.f_max = f_max
-        self.cycle_lengths = cycle_lengths
-        self.cum_cycles = np.cumsum([0] + list(self.cycle_lengths))
-        self.last_f = 0.
-        self.verbosity_interval = verbosity_interval
-    def find_in_interval(self, n):
-        interval = 0
-        for cl in self.cum_cycles[1:]:
-            if n <= cl:
-                return interval
-            interval += 1
-    def schedule(self, n, **kwargs):
-        cycle = self.find_in_interval(n)
-        n = n - self.cum_cycles[cycle]
-        if self.verbosity_interval > 0:
-            if n % self.verbosity_interval == 0: print(f"current step: {n}, recent lr-multiplier: {self.last_f}, "
-                                                       f"current cycle {cycle}")
-        if n < self.lr_warm_up_steps[cycle]:
-            f = (self.f_max[cycle] - self.f_start[cycle]) / self.lr_warm_up_steps[cycle] * n + self.f_start[cycle]
-            self.last_f = f
-            return f
-        else:
-            t = (n - self.lr_warm_up_steps[cycle]) / (self.cycle_lengths[cycle] - self.lr_warm_up_steps[cycle])
-            t = min(t, 1.0)
-            f = self.f_min[cycle] + 0.5 * (self.f_max[cycle] - self.f_min[cycle]) * (
-                    1 + np.cos(t * np.pi))
-            self.last_f = f
-            return f
-    def __call__(self, n, **kwargs):
-        return self.schedule(n, **kwargs)
-class LambdaLinearScheduler(LambdaWarmUpCosineScheduler2):
-    def schedule(self, n, **kwargs):
-        cycle = self.find_in_interval(n)
-        n = n - self.cum_cycles[cycle]
-        if self.verbosity_interval > 0:
-            if n % self.verbosity_interval == 0: print(f"current step: {n}, recent lr-multiplier: {self.last_f}, "
-                                                       f"current cycle {cycle}")
-        if n < self.lr_warm_up_steps[cycle]:
-            f = (self.f_max[cycle] - self.f_start[cycle]) / self.lr_warm_up_steps[cycle] * n + self.f_start[cycle]
-            self.last_f = f
-            return f
-        else:
-            f = self.f_min[cycle] + (self.f_max[cycle] - self.f_min[cycle]) * (self.cycle_lengths[cycle] - n) / (self.cycle_lengths[cycle])
-            self.last_f = f
-            return f

spaces/Aanisha/Image_to_story/README.md DELETED Viewed

@@ -1,13 +0,0 @@
----
-title: Image_to_story
-emoji: 🐨
-colorFrom: yellow
-colorTo: yellow
-sdk: gradio
-sdk_version: 2.8.10
-app_file: app.py
-pinned: false
-license: mit
----
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference

spaces/AchyuthGamer/OpenGPT/g4f/Provider/Providers/Fakeopen.py DELETED Viewed

@@ -1,54 +0,0 @@
-import os
-import json
-import requests
-from typing import Dict, get_type_hints
-url = 'https://ai.fakeopen.com/v1/'
-model = [
-    'gpt-3.5-turbo',
-    'gpt-3.5-turbo-0613',
-    'gpt-3.5-turbo-16k',
-    'gpt-3.5-turbo-16k-0613',
-]
-supports_stream = True
-needs_auth = False
-def _create_completion(model: str, messages: list, stream: bool, **kwargs):
-    headers = {
-        'Content-Type': 'application/json',
-        'accept': 'text/event-stream',
-        'Cache-Control': 'no-cache',
-        'Proxy-Connection': 'keep-alive',
-        'Authorization': f"Bearer {os.environ.get('FAKE_OPEN_KEY', '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')}",
-    }
-    json_data = {
-        'messages': messages,
-        'temperature': 1.0,
-        'model': model,
-        'stream': stream,
-    }
-    response = requests.post(
-        'https://ai.fakeopen.com/v1/chat/completions', headers=headers, json=json_data, stream=True
-    )
-    for token in response.iter_lines():
-        decoded = token.decode('utf-8')
-        if decoded == '[DONE]':
-            break
-        if decoded.startswith('data: '):
-            data_str = decoded.replace('data: ', '')
-            if data_str != '[DONE]':
-                data = json.loads(data_str)
-                if 'choices' in data and 'delta' in data['choices'][0] and 'content' in data['choices'][0]['delta']:
-                    yield data['choices'][0]['delta']['content']
-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/AfrodreamsAI/afrodreams/README.md DELETED Viewed

@@ -1,12 +0,0 @@
----
-title: Afrodreams
-emoji: 🌍
-colorFrom: red
-colorTo: green
-sdk: streamlit
-sdk_version: 1.10.0
-app_file: Home.py
-pinned: false
----
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/AgentVerse/agentVerse/agentverse/memory_manipulator/base.py DELETED Viewed

@@ -1,17 +0,0 @@
-from abc import abstractmethod
-from typing import Dict, List
-from pydantic import BaseModel, Field
-from agentverse.message import Message
-class BaseMemoryManipulator(BaseModel):
-    @abstractmethod
-    def manipulate_memory(self) -> None:
-        pass
-    @abstractmethod
-    def reset(self) -> None:
-        pass

spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/bbcodetext/BBCodeText.js DELETED Viewed

	@@ -1,2 +0,0 @@
1	- import BBCodeText from '../../../plugins/bbcodetext.js';
2	- export default BBCodeText;

spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/maker/Maker.js DELETED Viewed

@@ -1,80 +0,0 @@
-import ParseYAML from './utils/ParseYAML.js';
-import YAMLMake from './YAMLMake.js';
-const IsPlainObject = Phaser.Utils.Objects.IsPlainObject;
-class Maker {
-    constructor(scene, styles, customBuilders) {
-        this.setScene(scene);
-        this.setStyles(styles);
-        this.setBuilders(customBuilders);
-    }
-    setScene(scene) {
-        this.scene = scene;
-        return this;
-    }
-    setStyles(styles) {
-        this.styles = ParseYAML(styles);
-        return this;
-    }
-    addStyle(key, style) {
-        if (this.styles === undefined) {
-            this.styles = {};
-        }
-        if ((typeof (key) === 'string') && (style === undefined)) {
-            key = ParseYAML(key);
-        }
-        if (IsPlainObject(key)) {
-            var styles = key;
-            for (key in styles) {
-                this.styles[key] = styles[key];
-            }
-        } else {
-            this.styles[key] = ParseYAML(style);
-        }
-        return this;
-    }
-    clearStyles() {
-        this.setStyles();
-        return this;
-    }
-    setBuilders(customBuilders) {
-        this.customBuilders = customBuilders;
-        return this;
-    }
-    addBuilder(key, customBuilder) {
-        if (this.customBuilders === undefined) {
-            this.customBuilders = {};
-        }
-        if (IsPlainObject(key)) {
-            var customBuilders = key;
-            for (key in customBuilders) {
-                this.customBuilders[key] = customBuilders[key];
-            }
-        } else {
-            this.customBuilders[key] = customBuilder;
-        }
-        return this;
-    }
-    clearBuilder() {
-        this.setBuilders();
-        return this;
-    }
-    make(data, view) {
-        return YAMLMake(this.scene, data, view, this.styles, this.customBuilders);
-    }
-}
-export default Maker;

spaces/AhmedRashwan369/ChatGPT4/README.md DELETED Viewed

@@ -1,14 +0,0 @@
----
-title: Chat-with-GPT4
-emoji: 🚀
-colorFrom: red
-colorTo: indigo
-sdk: gradio
-sdk_version: 3.21.0
-app_file: app.py
-pinned: false
-license: mit
-duplicated_from: ysharma/ChatGPT4
----
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/Aloento/9Nine-VITS/text/__init__.py DELETED Viewed

@@ -1,56 +0,0 @@
-""" from https://github.com/keithito/tacotron """
-from text import cleaners
-from text.symbols import symbols
-# Mappings from symbol to numeric ID and vice versa:
-_symbol_to_id = {s: i for i, s in enumerate(symbols)}
-_id_to_symbol = {i: s for i, s in enumerate(symbols)}
-def text_to_sequence(text, cleaner_names):
-  '''Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
-    Args:
-      text: string to convert to a sequence
-      cleaner_names: names of the cleaner functions to run the text through
-    Returns:
-      List of integers corresponding to the symbols in the text
-  '''
-  sequence = []
-  clean_text = _clean_text(text, cleaner_names)
-  for symbol in clean_text:
-    if symbol not in _symbol_to_id.keys():
-      continue
-    symbol_id = _symbol_to_id[symbol]
-    sequence += [symbol_id]
-  return sequence
-def cleaned_text_to_sequence(cleaned_text):
-  '''Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
-    Args:
-      text: string to convert to a sequence
-    Returns:
-      List of integers corresponding to the symbols in the text
-  '''
-  sequence = [_symbol_to_id[symbol] for symbol in cleaned_text if symbol in _symbol_to_id.keys()]
-  return sequence
-def sequence_to_text(sequence):
-  '''Converts a sequence of IDs back to a string'''
-  result = ''
-  for symbol_id in sequence:
-    s = _id_to_symbol[symbol_id]
-    result += s
-  return result
-def _clean_text(text, cleaner_names):
-  for name in cleaner_names:
-    cleaner = getattr(cleaners, name)
-    if not cleaner:
-      raise Exception('Unknown cleaner: %s' % name)
-    text = cleaner(text)
-  return text

spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/.github/PULL_REQUEST_TEMPLATE.md DELETED Viewed

@@ -1,60 +0,0 @@
-# What does this PR do?
-<!--
-Congratulations! You've made it this far! You're not quite done yet though.
-Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
-Then, please replace this with a description of the change and which issue is fixed (if applicable). Please also include relevant motivation and context. List any dependencies (if any) that are required for this change.
-Once you're done, someone will review your PR shortly (see the section "Who can review?" below to tag some potential reviewers). They may suggest changes to make the code even better. If no one reviewed your PR after a week has passed, don't hesitate to post a new comment @-mentioning the same persons---sometimes notifications get lost.
--->
-<!-- Remove if not applicable -->
-Fixes # (issue)
-## Before submitting
-- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
-- [ ] Did you read the [contributor guideline](https://github.com/huggingface/diffusers/blob/main/CONTRIBUTING.md)?
-- [ ] Did you read our [philosophy doc](https://github.com/huggingface/diffusers/blob/main/PHILOSOPHY.md) (important for complex PRs)?
-- [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link to it if that's the case.
-- [ ] Did you make sure to update the documentation with your changes? Here are the
-      [documentation guidelines](https://github.com/huggingface/diffusers/tree/main/docs), and
-      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
-- [ ] Did you write any new necessary tests?
-## Who can review?
-Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
-members/contributors who may be interested in your PR.
-<!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @
- If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
- Please tag fewer than 3 people.
-Core library:
-- Schedulers: @williamberman and @patrickvonplaten
-- Pipelines:  @patrickvonplaten and @sayakpaul
-- Training examples: @sayakpaul and @patrickvonplaten
-- Docs: @stevenliu and @yiyixu
-- JAX and MPS: @pcuenca
-- Audio: @sanchit-gandhi
-- General functionalities: @patrickvonplaten and @sayakpaul
-Integrations:
-- deepspeed: HF Trainer/Accelerate: @pacman100
-HF projects:
-- accelerate: [different repo](https://github.com/huggingface/accelerate)
-- datasets: [different repo](https://github.com/huggingface/datasets)
-- transformers: [different repo](https://github.com/huggingface/transformers)
-- safetensors: [different repo](https://github.com/huggingface/safetensors)
--->

spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_latent_upscale.py DELETED Viewed

@@ -1,295 +0,0 @@
-# coding=utf-8
-# Copyright 2023 HuggingFace Inc.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-import gc
-import random
-import unittest
-import numpy as np
-import torch
-from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
-import diffusers
-from diffusers import (
-    AutoencoderKL,
-    EulerDiscreteScheduler,
-    StableDiffusionLatentUpscalePipeline,
-    StableDiffusionPipeline,
-    UNet2DConditionModel,
-)
-from diffusers.schedulers import KarrasDiffusionSchedulers
-from diffusers.utils import floats_tensor, load_image, load_numpy, slow, torch_device
-from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu
-from ..pipeline_params import TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_PARAMS
-from ..test_pipelines_common import PipelineKarrasSchedulerTesterMixin, PipelineLatentTesterMixin, PipelineTesterMixin
-enable_full_determinism()
-def check_same_shape(tensor_list):
-    shapes = [tensor.shape for tensor in tensor_list]
-    return all(shape == shapes[0] for shape in shapes[1:])
-class StableDiffusionLatentUpscalePipelineFastTests(
-    PipelineLatentTesterMixin, PipelineKarrasSchedulerTesterMixin, PipelineTesterMixin, unittest.TestCase
-):
-    pipeline_class = StableDiffusionLatentUpscalePipeline
-    params = TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {
-        "height",
-        "width",
-        "cross_attention_kwargs",
-        "negative_prompt_embeds",
-        "prompt_embeds",
-    }
-    required_optional_params = PipelineTesterMixin.required_optional_params - {"num_images_per_prompt"}
-    batch_params = TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS
-    image_params = frozenset(
-        []
-    )  # TO-DO: update image_params once pipeline is refactored with VaeImageProcessor.preprocess
-    image_latents_params = frozenset([])
-    @property
-    def dummy_image(self):
-        batch_size = 1
-        num_channels = 4
-        sizes = (16, 16)
-        image = floats_tensor((batch_size, num_channels) + sizes, rng=random.Random(0)).to(torch_device)
-        return image
-    def get_dummy_components(self):
-        torch.manual_seed(0)
-        model = UNet2DConditionModel(
-            act_fn="gelu",
-            attention_head_dim=8,
-            norm_num_groups=None,
-            block_out_channels=[32, 32, 64, 64],
-            time_cond_proj_dim=160,
-            conv_in_kernel=1,
-            conv_out_kernel=1,
-            cross_attention_dim=32,
-            down_block_types=(
-                "KDownBlock2D",
-                "KCrossAttnDownBlock2D",
-                "KCrossAttnDownBlock2D",
-                "KCrossAttnDownBlock2D",
-            ),
-            in_channels=8,
-            mid_block_type=None,
-            only_cross_attention=False,
-            out_channels=5,
-            resnet_time_scale_shift="scale_shift",
-            time_embedding_type="fourier",
-            timestep_post_act="gelu",
-            up_block_types=("KCrossAttnUpBlock2D", "KCrossAttnUpBlock2D", "KCrossAttnUpBlock2D", "KUpBlock2D"),
-        )
-        vae = AutoencoderKL(
-            block_out_channels=[32, 32, 64, 64],
-            in_channels=3,
-            out_channels=3,
-            down_block_types=[
-                "DownEncoderBlock2D",
-                "DownEncoderBlock2D",
-                "DownEncoderBlock2D",
-                "DownEncoderBlock2D",
-            ],
-            up_block_types=["UpDecoderBlock2D", "UpDecoderBlock2D", "UpDecoderBlock2D", "UpDecoderBlock2D"],
-            latent_channels=4,
-        )
-        scheduler = EulerDiscreteScheduler(prediction_type="sample")
-        text_config = CLIPTextConfig(
-            bos_token_id=0,
-            eos_token_id=2,
-            hidden_size=32,
-            intermediate_size=37,
-            layer_norm_eps=1e-05,
-            num_attention_heads=4,
-            num_hidden_layers=5,
-            pad_token_id=1,
-            vocab_size=1000,
-            hidden_act="quick_gelu",
-            projection_dim=512,
-        )
-        text_encoder = CLIPTextModel(text_config)
-        tokenizer = CLIPTokenizer.from_pretrained("hf-internal-testing/tiny-random-clip")
-        components = {
-            "unet": model.eval(),
-            "vae": vae.eval(),
-            "scheduler": scheduler,
-            "text_encoder": text_encoder,
-            "tokenizer": tokenizer,
-        }
-        return components
-    def get_dummy_inputs(self, device, seed=0):
-        if str(device).startswith("mps"):
-            generator = torch.manual_seed(seed)
-        else:
-            generator = torch.Generator(device=device).manual_seed(seed)
-        inputs = {
-            "prompt": "A painting of a squirrel eating a burger",
-            "image": self.dummy_image.cpu(),
-            "generator": generator,
-            "num_inference_steps": 2,
-            "output_type": "numpy",
-        }
-        return inputs
-    def test_inference(self):
-        device = "cpu"
-        components = self.get_dummy_components()
-        pipe = self.pipeline_class(**components)
-        pipe.to(device)
-        pipe.set_progress_bar_config(disable=None)
-        inputs = self.get_dummy_inputs(device)
-        image = pipe(**inputs).images
-        image_slice = image[0, -3:, -3:, -1]
-        self.assertEqual(image.shape, (1, 256, 256, 3))
-        expected_slice = np.array(
-            [0.47222412, 0.41921633, 0.44717434, 0.46874192, 0.42588258, 0.46150726, 0.4677534, 0.45583832, 0.48579055]
-        )
-        max_diff = np.abs(image_slice.flatten() - expected_slice).max()
-        self.assertLessEqual(max_diff, 1e-3)
-    def test_attention_slicing_forward_pass(self):
-        super().test_attention_slicing_forward_pass(expected_max_diff=7e-3)
-    def test_cpu_offload_forward_pass(self):
-        super().test_cpu_offload_forward_pass(expected_max_diff=3e-3)
-    def test_dict_tuple_outputs_equivalent(self):
-        super().test_dict_tuple_outputs_equivalent(expected_max_difference=3e-3)
-    def test_inference_batch_single_identical(self):
-        super().test_inference_batch_single_identical(expected_max_diff=7e-3)
-    def test_pt_np_pil_outputs_equivalent(self):
-        super().test_pt_np_pil_outputs_equivalent(expected_max_diff=3e-3)
-    def test_save_load_local(self):
-        super().test_save_load_local(expected_max_difference=3e-3)
-    def test_save_load_optional_components(self):
-        super().test_save_load_optional_components(expected_max_difference=3e-3)
-    def test_karras_schedulers_shape(self):
-        skip_schedulers = [
-            "DDIMScheduler",
-            "DDPMScheduler",
-            "PNDMScheduler",
-            "HeunDiscreteScheduler",
-            "EulerAncestralDiscreteScheduler",
-            "KDPM2DiscreteScheduler",
-            "KDPM2AncestralDiscreteScheduler",
-            "DPMSolverSDEScheduler",
-        ]
-        components = self.get_dummy_components()
-        pipe = self.pipeline_class(**components)
-        # make sure that PNDM does not need warm-up
-        pipe.scheduler.register_to_config(skip_prk_steps=True)
-        pipe.to(torch_device)
-        pipe.set_progress_bar_config(disable=None)
-        inputs = self.get_dummy_inputs(torch_device)
-        inputs["num_inference_steps"] = 2
-        outputs = []
-        for scheduler_enum in KarrasDiffusionSchedulers:
-            if scheduler_enum.name in skip_schedulers:
-                # no sigma schedulers are not supported
-                # no schedulers
-                continue
-            scheduler_cls = getattr(diffusers, scheduler_enum.name)
-            pipe.scheduler = scheduler_cls.from_config(pipe.scheduler.config)
-            output = pipe(**inputs)[0]
-            outputs.append(output)
-        assert check_same_shape(outputs)
-@require_torch_gpu
-@slow
-class StableDiffusionLatentUpscalePipelineIntegrationTests(unittest.TestCase):
-    def tearDown(self):
-        super().tearDown()
-        gc.collect()
-        torch.cuda.empty_cache()
-    def test_latent_upscaler_fp16(self):
-        generator = torch.manual_seed(33)
-        pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", torch_dtype=torch.float16)
-        pipe.to("cuda")
-        upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained(
-            "stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16
-        )
-        upscaler.to("cuda")
-        prompt = "a photo of an astronaut high resolution, unreal engine, ultra realistic"
-        low_res_latents = pipe(prompt, generator=generator, output_type="latent").images
-        image = upscaler(
-            prompt=prompt,
-            image=low_res_latents,
-            num_inference_steps=20,
-            guidance_scale=0,
-            generator=generator,
-            output_type="np",
-        ).images[0]
-        expected_image = load_numpy(
-            "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/latent-upscaler/astronaut_1024.npy"
-        )
-        assert np.abs((expected_image - image).mean()) < 5e-2
-    def test_latent_upscaler_fp16_image(self):
-        generator = torch.manual_seed(33)
-        upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained(
-            "stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16
-        )
-        upscaler.to("cuda")
-        prompt = "the temple of fire by Ross Tran and Gerardo Dottori, oil on canvas"
-        low_res_img = load_image(
-            "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/latent-upscaler/fire_temple_512.png"
-        )
-        image = upscaler(
-            prompt=prompt,
-            image=low_res_img,
-            num_inference_steps=20,
-            guidance_scale=0,
-            generator=generator,
-            output_type="np",
-        ).images[0]
-        expected_image = load_numpy(
-            "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/latent-upscaler/fire_temple_1024.npy"
-        )
-        assert np.abs((expected_image - image).max()) < 5e-2

spaces/Andy1621/uniformer_image_detection/configs/gfl/gfl_r101_fpn_dconv_c3-c5_mstrain_2x_coco.py DELETED Viewed

@@ -1,14 +0,0 @@
-_base_ = './gfl_r50_fpn_mstrain_2x_coco.py'
-model = dict(
-    pretrained='torchvision://resnet101',
-    backbone=dict(
-        type='ResNet',
-        depth=101,
-        num_stages=4,
-        out_indices=(0, 1, 2, 3),
-        frozen_stages=1,
-        norm_cfg=dict(type='BN', requires_grad=True),
-        dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False),
-        stage_with_dcn=(False, True, True, True),
-        norm_eval=True,
-        style='pytorch'))

spaces/AquaSuisei/ChatGPTXE/ChuanhuChatbot.py DELETED Viewed

@@ -1,423 +0,0 @@
-# -*- coding:utf-8 -*-
-import os
-import logging
-import sys
-import gradio as gr
-from modules import config
-from modules.config import *
-from modules.utils import *
-from modules.presets import *
-from modules.overwrites import *
-from modules.chat_func import *
-from modules.openai_func import get_usage
-gr.Chatbot.postprocess = postprocess
-PromptHelper.compact_text_chunks = compact_text_chunks
-with open("assets/custom.css", "r", encoding="utf-8") as f:
-    customCSS = f.read()
-with gr.Blocks(css=customCSS, theme=small_and_beautiful_theme) as demo:
-    user_name = gr.State("")
-    history = gr.State([])
-    token_count = gr.State([])
-    promptTemplates = gr.State(load_template(get_template_names(plain=True)[0], mode=2))
-    user_api_key = gr.State(my_api_key)
-    user_question = gr.State("")
-    outputing = gr.State(False)
-    topic = gr.State("未命名对话历史记录")
-    with gr.Row():
-        with gr.Column():
-            gr.HTML(title)
-            user_info = gr.Markdown(value="", elem_id="user_info")
-        gr.HTML('<center><a href="https://huggingface.co/spaces/JohnSmith9982/ChuanhuChatGPT?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a></center>')
-        status_display = gr.Markdown(get_geoip(), elem_id="status_display")
-        # https://github.com/gradio-app/gradio/pull/3296
-        def create_greeting(request: gr.Request):
-            if hasattr(request, "username") and request.username: # is not None or is not ""
-                logging.info(f"Get User Name: {request.username}")
-                return gr.Markdown.update(value=f"User: {request.username}"), request.username
-            else:
-                return gr.Markdown.update(value=f"User: default", visible=False), ""
-        demo.load(create_greeting, inputs=None, outputs=[user_info, user_name])
-    with gr.Row().style(equal_height=True):
-        with gr.Column(scale=5):
-            with gr.Row():
-                chatbot = gr.Chatbot(elem_id="chuanhu_chatbot").style(height="100%")
-            with gr.Row():
-                with gr.Column(scale=12):
-                    user_input = gr.Textbox(
-                        elem_id="user_input_tb",
-                        show_label=False, placeholder="在这里输入"
-                    ).style(container=False)
-                with gr.Column(min_width=70, scale=1):
-                    submitBtn = gr.Button("发送", variant="primary")
-                    cancelBtn = gr.Button("取消", variant="secondary", visible=False)
-            with gr.Row():
-                emptyBtn = gr.Button(
-                    "🧹 新的对话",
-                )
-                retryBtn = gr.Button("🔄 重新生成")
-                delFirstBtn = gr.Button("🗑️ 删除最旧对话")
-                delLastBtn = gr.Button("🗑️ 删除最新对话")
-                reduceTokenBtn = gr.Button("♻️ 总结对话")
-        with gr.Column():
-            with gr.Column(min_width=50, scale=1):
-                with gr.Tab(label="ChatGPT"):
-                    keyTxt = gr.Textbox(
-                        show_label=True,
-                        placeholder=f"666",
-                        value=hide_middle_chars(my_api_key),
-                        type="password",
-                        visible=not HIDE_MY_KEY,
-                        label="API-Key",
-                    )
-                    if multi_api_key:
-                        usageTxt = gr.Markdown("多账号模式已开启，无需输入key，可直接开始对话", elem_id="usage_display")
-                    else:
-                        usageTxt = gr.Markdown("**发送消息** 或 **提交key** 以显示额度", elem_id="usage_display")
-                    model_select_dropdown = gr.Dropdown(
-                        label="选择模型", choices=MODELS, multiselect=False, value=MODELS[0]
-                    )
-                    use_streaming_checkbox = gr.Checkbox(
-                        label="实时传输回答", value=True, visible=enable_streaming_option
-                    )
-                    use_websearch_checkbox = gr.Checkbox(label="使用在线搜索", value=False)
-                    language_select_dropdown = gr.Dropdown(
-                        label="选择回复语言（针对搜索&索引功能）",
-                        choices=REPLY_LANGUAGES,
-                        multiselect=False,
-                        value=REPLY_LANGUAGES[0],
-                    )
-                    index_files = gr.Files(label="上传索引文件", type="file", multiple=True)
-                    two_column = gr.Checkbox(label="双栏pdf", value=advance_docs["pdf"].get("two_column", False))
-                    # TODO: 公式ocr
-                    # formula_ocr = gr.Checkbox(label="识别公式", value=advance_docs["pdf"].get("formula_ocr", False))
-                with gr.Tab(label="Prompt"):
-                    systemPromptTxt = gr.Textbox(
-                        show_label=True,
-                        placeholder=f"在这里输入System Prompt...",
-                        label="System prompt",
-                        value=initial_prompt,
-                        lines=10,
-                    ).style(container=False)
-                    with gr.Accordion(label="加载Prompt模板", open=True):
-                        with gr.Column():
-                            with gr.Row():
-                                with gr.Column(scale=6):
-                                    templateFileSelectDropdown = gr.Dropdown(
-                                        label="选择Prompt模板集合文件",
-                                        choices=get_template_names(plain=True),
-                                        multiselect=False,
-                                        value=get_template_names(plain=True)[0],
-                                    ).style(container=False)
-                                with gr.Column(scale=1):
-                                    templateRefreshBtn = gr.Button("🔄 刷新")
-                            with gr.Row():
-                                with gr.Column():
-                                    templateSelectDropdown = gr.Dropdown(
-                                        label="从Prompt模板中加载",
-                                        choices=load_template(
-                                            get_template_names(plain=True)[0], mode=1
-                                        ),
-                                        multiselect=False,
-                                    ).style(container=False)
-                with gr.Tab(label="保存/加载"):
-                    with gr.Accordion(label="保存/加载对话历史记录", open=True):
-                        with gr.Column():
-                            with gr.Row():
-                                with gr.Column(scale=6):
-                                    historyFileSelectDropdown = gr.Dropdown(
-                                        label="从列表中加载对话",
-                                        choices=get_history_names(plain=True),
-                                        multiselect=False,
-                                        value=get_history_names(plain=True)[0],
-                                    )
-                                with gr.Column(scale=1):
-                                    historyRefreshBtn = gr.Button("🔄 刷新")
-                            with gr.Row():
-                                with gr.Column(scale=6):
-                                    saveFileName = gr.Textbox(
-                                        show_label=True,
-                                        placeholder=f"设置文件名: 默认为.json，可选为.md",
-                                        label="设置保存文件名",
-                                        value="对话历史记录",
-                                    ).style(container=True)
-                                with gr.Column(scale=1):
-                                    saveHistoryBtn = gr.Button("💾 保存对话")
-                                    exportMarkdownBtn = gr.Button("📝 导出为Markdown")
-                                    gr.Markdown("默认保存于history文件夹")
-                            with gr.Row():
-                                with gr.Column():
-                                    downloadFile = gr.File(interactive=True)
-                with gr.Tab(label="高级"):
-                    gr.Markdown("# ⚠️ 务必谨慎更改 ⚠️\n\n如果无法使用请恢复默认设置")
-                    default_btn = gr.Button("🔙 恢复默认设置")
-                    with gr.Accordion("参数", open=False):
-                        top_p = gr.Slider(
-                            minimum=-0,
-                            maximum=1.0,
-                            value=1.0,
-                            step=0.05,
-                            interactive=True,
-                            label="Top-p",
-                        )
-                        temperature = gr.Slider(
-                            minimum=-0,
-                            maximum=2.0,
-                            value=1.0,
-                            step=0.1,
-                            interactive=True,
-                            label="Temperature",
-                        )
-                    with gr.Accordion("网络设置", open=False, visible=False):
-                        # 优先展示自定义的api_host
-                        apihostTxt = gr.Textbox(
-                            show_label=True,
-                            placeholder=f"在这里输入API-Host...",
-                            label="API-Host",
-                            value=config.api_host or shared.API_HOST,
-                            lines=1,
-                        )
-                        changeAPIURLBtn = gr.Button("🔄 切换API地址")
-                        proxyTxt = gr.Textbox(
-                            show_label=True,
-                            placeholder=f"在这里输入代理地址...",
-                            label="代理地址（示例：http://127.0.0.1:10809）",
-                            value="",
-                            lines=2,
-                        )
-                        changeProxyBtn = gr.Button("🔄 设置代理地址")
-    gr.Markdown(description)
-    gr.HTML(footer.format(versions=versions_html()), elem_id="footer")
-    chatgpt_predict_args = dict(
-        fn=predict,
-        inputs=[
-            user_api_key,
-            systemPromptTxt,
-            history,
-            user_question,
-            chatbot,
-            token_count,
-            top_p,
-            temperature,
-            use_streaming_checkbox,
-            model_select_dropdown,
-            use_websearch_checkbox,
-            index_files,
-            language_select_dropdown,
-        ],
-        outputs=[chatbot, history, status_display, token_count],
-        show_progress=True,
-    )
-    start_outputing_args = dict(
-        fn=start_outputing,
-        inputs=[],
-        outputs=[submitBtn, cancelBtn],
-        show_progress=True,
-    )
-    end_outputing_args = dict(
-        fn=end_outputing, inputs=[], outputs=[submitBtn, cancelBtn]
-    )
-    reset_textbox_args = dict(
-        fn=reset_textbox, inputs=[], outputs=[user_input]
-    )
-    transfer_input_args = dict(
-        fn=transfer_input, inputs=[user_input], outputs=[user_question, user_input, submitBtn, cancelBtn], show_progress=True
-    )
-    get_usage_args = dict(
-        fn=get_usage, inputs=[user_api_key], outputs=[usageTxt], show_progress=False
-    )
-    # Chatbot
-    cancelBtn.click(cancel_outputing, [], [])
-    user_input.submit(**transfer_input_args).then(**chatgpt_predict_args).then(**end_outputing_args)
-    user_input.submit(**get_usage_args)
-    submitBtn.click(**transfer_input_args).then(**chatgpt_predict_args).then(**end_outputing_args)
-    submitBtn.click(**get_usage_args)
-    emptyBtn.click(
-        reset_state,
-        outputs=[chatbot, history, token_count, status_display],
-        show_progress=True,
-    )
-    emptyBtn.click(**reset_textbox_args)
-    retryBtn.click(**start_outputing_args).then(
-        retry,
-        [
-            user_api_key,
-            systemPromptTxt,
-            history,
-            chatbot,
-            token_count,
-            top_p,
-            temperature,
-            use_streaming_checkbox,
-            model_select_dropdown,
-            language_select_dropdown,
-        ],
-        [chatbot, history, status_display, token_count],
-        show_progress=True,
-    ).then(**end_outputing_args)
-    retryBtn.click(**get_usage_args)
-    delFirstBtn.click(
-        delete_first_conversation,
-        [history, token_count],
-        [history, token_count, status_display],
-    )
-    delLastBtn.click(
-        delete_last_conversation,
-        [chatbot, history, token_count],
-        [chatbot, history, token_count, status_display],
-        show_progress=True,
-    )
-    reduceTokenBtn.click(
-        reduce_token_size,
-        [
-            user_api_key,
-            systemPromptTxt,
-            history,
-            chatbot,
-            token_count,
-            top_p,
-            temperature,
-            gr.State(sum(token_count.value[-4:])),
-            model_select_dropdown,
-            language_select_dropdown,
-        ],
-        [chatbot, history, status_display, token_count],
-        show_progress=True,
-    )
-    reduceTokenBtn.click(**get_usage_args)
-    two_column.change(update_doc_config, [two_column], None)
-    # ChatGPT
-    keyTxt.change(submit_key, keyTxt, [user_api_key, status_display]).then(**get_usage_args)
-    keyTxt.submit(**get_usage_args)
-    # Template
-    templateRefreshBtn.click(get_template_names, None, [templateFileSelectDropdown])
-    templateFileSelectDropdown.change(
-        load_template,
-        [templateFileSelectDropdown],
-        [promptTemplates, templateSelectDropdown],
-        show_progress=True,
-    )
-    templateSelectDropdown.change(
-        get_template_content,
-        [promptTemplates, templateSelectDropdown, systemPromptTxt],
-        [systemPromptTxt],
-        show_progress=True,
-    )
-    # S&L
-    saveHistoryBtn.click(
-        save_chat_history,
-        [saveFileName, systemPromptTxt, history, chatbot, user_name],
-        downloadFile,
-        show_progress=True,
-    )
-    saveHistoryBtn.click(get_history_names, [gr.State(False), user_name], [historyFileSelectDropdown])
-    exportMarkdownBtn.click(
-        export_markdown,
-        [saveFileName, systemPromptTxt, history, chatbot, user_name],
-        downloadFile,
-        show_progress=True,
-    )
-    historyRefreshBtn.click(get_history_names, [gr.State(False), user_name], [historyFileSelectDropdown])
-    historyFileSelectDropdown.change(
-        load_chat_history,
-        [historyFileSelectDropdown, systemPromptTxt, history, chatbot, user_name],
-        [saveFileName, systemPromptTxt, history, chatbot],
-        show_progress=True,
-    )
-    downloadFile.change(
-        load_chat_history,
-        [downloadFile, systemPromptTxt, history, chatbot, user_name],
-        [saveFileName, systemPromptTxt, history, chatbot],
-    )
-    # Advanced
-    default_btn.click(
-        reset_default, [], [apihostTxt, proxyTxt, status_display], show_progress=True
-    )
-    changeAPIURLBtn.click(
-        change_api_host,
-        [apihostTxt],
-        [status_display],
-        show_progress=True,
-    )
-    changeProxyBtn.click(
-        change_proxy,
-        [proxyTxt],
-        [status_display],
-        show_progress=True,
-    )
-logging.info(
-    colorama.Back.GREEN
-    + "\n川虎的温馨提示：访问 http://localhost:7860 查看界面"
-    + colorama.Style.RESET_ALL
-)
-# 默认开启本地服务器，默认可以直接从IP访问，默认不创建公开分享链接
-demo.title = "ChatGPT AquaSuisei"
-if __name__ == "__main__":
-    reload_javascript()
-    # if running in Docker
-    if dockerflag:
-        if authflag:
-            demo.queue(concurrency_count=CONCURRENT_COUNT).launch(
-                server_name="0.0.0.0",
-                server_port=7860,
-                auth=auth_list,
-                favicon_path="./assets/favicon.ico",
-            )
-        else:
-            demo.queue(concurrency_count=CONCURRENT_COUNT).launch(
-                server_name="0.0.0.0",
-                server_port=7860,
-                share=False,
-                favicon_path="./assets/favicon.ico",
-            )
-    # if not running in Docker
-    else:
-        if authflag:
-            demo.queue(concurrency_count=CONCURRENT_COUNT).launch(
-                share=False,
-                auth=auth_list,
-                favicon_path="./assets/favicon.ico",
-                inbrowser=True,
-            )
-        else:
-            demo.queue(concurrency_count=CONCURRENT_COUNT).launch(
-                share=False, favicon_path="./assets/favicon.ico", inbrowser=True
-            )  # 改为 share=True 可以创建公开分享链接
-        # demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", server_port=7860, share=False) # 可自定义端口
-        # demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", server_port=7860,auth=("在这里填写用户名", "在这里填写密码")) # 可设置用户名与密码
-        # demo.queue(concurrency_count=CONCURRENT_COUNT).launch(auth=("在这里填写用户名", "在这里填写密码")) # 适合Nginx反向代理

spaces/Arnaudding001/OpenAI_whisperLive/segments.py DELETED Viewed

@@ -1,55 +0,0 @@
-from typing import Any, Dict, List
-import copy
-def merge_timestamps(timestamps: List[Dict[str, Any]], merge_window: float = 5, max_merge_size: float = 30, padding_left: float = 1, padding_right: float = 1):
-    result = []
-    if len(timestamps) == 0:
-        return result
-    if max_merge_size is None:
-        return timestamps
-    if padding_left is None:
-        padding_left = 0
-    if padding_right is None:
-        padding_right = 0
-    processed_time = 0
-    current_segment = None
-    for i in range(len(timestamps)):
-        next_segment = timestamps[i]
-        delta = next_segment['start'] - processed_time
-        # Note that segments can still be longer than the max merge size, they just won't be merged in that case
-        if current_segment is None or (merge_window is not None and delta > merge_window) \
-                 or next_segment['end'] - current_segment['start'] > max_merge_size:
-            # Finish the current segment
-            if current_segment is not None:
-                # Add right padding
-                finish_padding = min(padding_right, delta / 2) if delta < padding_left + padding_right else padding_right
-                current_segment['end'] += finish_padding
-                delta -= finish_padding
-                result.append(current_segment)
-            # Start a new segment
-            current_segment = copy.deepcopy(next_segment)
-            # Pad the segment
-            current_segment['start'] = current_segment['start'] - min(padding_left, delta)
-            processed_time = current_segment['end']
-        else:
-            # Merge the segment
-            current_segment['end'] = next_segment['end']
-            processed_time = current_segment['end']
-    # Add the last segment
-    if current_segment is not None:
-        current_segment['end'] += padding_right
-        result.append(current_segment)
-    return result

spaces/Artgor/digit-draw-detect/st_app.py DELETED Viewed

@@ -1,57 +0,0 @@
-import logging
-import numpy as np
-import streamlit as st
-from PIL import Image
-from streamlit_drawable_canvas import st_canvas
-from src.ml_utils import predict, get_model, transforms
-from src.utils import plot_img_with_rects, save_image
-st.title('Handwritten digit detector')
-logging.info('Starting')
-col1, col2 = st.columns(2)
-with col1:
-    # Create a canvas component
-    canvas_result = st_canvas(
-        fill_color='#fff',
-        stroke_width=5,
-        stroke_color='#000',
-        background_color='#fff',
-        update_streamlit=True,
-        height=400,
-        width=400,
-        drawing_mode='freedraw',
-        key='canvas',
-    )
-with col2:
-    logging.info('canvas ready')
-    if canvas_result.image_data is not None:
-        # convert a drawn image into numpy array with RGB from a canvas image with RGBA
-        img = np.array(Image.fromarray(np.uint8(canvas_result.image_data)).convert('RGB'))
-        image = transforms(image=img)['image']
-        logging.info('image augmented')
-        model = get_model()
-        logging.info('model ready')
-        pred = predict(model, image)
-        logging.info('prediction done')
-        file_name = save_image(image.permute(1, 2, 0).numpy(), pred)
-        threshold = st.slider('Bbox probability slider', min_value=0.0, max_value=1.0, value=0.8)
-        fig = plot_img_with_rects(image.permute(1, 2, 0).numpy(), pred, threshold, coef=192)
-        fig.savefig(f'{file_name}_temp.png')
-        image = Image.open(f'{file_name}_temp.png')
-        st.image(image)
-text = """
-This is a small app for handwritten digit recognition and recognition developed for fun. It uses a handwritten YOLOv3 model trained from scratch.
-You can draw a digit (or whatever you want) and the model will try to understand what is it.
-You can use the slider above to show bounding boxes with a probability higher than the threshold.
-If you want to know how the app works in more detail, you are welcome to read "About" page.
-Enjoy! :)
-"""
-st.markdown(text, unsafe_allow_html=True)

spaces/ArtyomKhyan/Detection/test.py DELETED Viewed

@@ -1,274 +0,0 @@
-import argparse
-import json
-from utils import google_utils
-from utils.datasets import *
-from utils.utils import *
-def test(data,
-         weights=None,
-         batch_size=16,
-         imgsz=640,
-         conf_thres=0.001,
-         iou_thres=0.6,  # for NMS
-         save_json=False,
-         single_cls=False,
-         augment=False,
-         verbose=False,
-         model=None,
-         dataloader=None,
-         merge=False):
-    # Initialize/load model and set device
-    if model is None:
-        training = False
-        device = torch_utils.select_device(opt.device, batch_size=batch_size)
-        # Remove previous
-        for f in glob.glob('test_batch*.jpg'):
-            os.remove(f)
-        # Load model
-        google_utils.attempt_download(weights)
-        model = torch.load(weights, map_location=device)['model'].float()  # load to FP32
-        torch_utils.model_info(model)
-        model.fuse()
-        model.to(device)
-        imgsz = check_img_size(imgsz, s=model.model[-1].stride.max())  # check img_size
-        # Multi-GPU disabled, incompatible with .half() https://github.com/ultralytics/yolov5/issues/99
-        # if device.type != 'cpu' and torch.cuda.device_count() > 1:
-        #     model = nn.DataParallel(model)
-    else:  # called by train.py
-        training = True
-        device = next(model.parameters()).device  # get model device
-    # Half
-    half = device.type != 'cpu' and torch.cuda.device_count() == 1  # half precision only supported on single-GPU
-    if half:
-        model.half()  # to FP16
-    # Configure
-    model.eval()
-    with open(data) as f:
-        data = yaml.load(f, Loader=yaml.FullLoader)  # model dict
-    nc = 1 if single_cls else int(data['nc'])  # number of classes
-    iouv = torch.linspace(0.5, 0.95, 10).to(device)  # iou vector for [email protected]:0.95
-    niou = iouv.numel()
-    # Dataloader
-    if dataloader is None:  # not training
-        merge = opt.merge  # use Merge NMS
-        img = torch.zeros((1, 3, imgsz, imgsz), device=device)  # init img
-        _ = model(img.half() if half else img) if device.type != 'cpu' else None  # run once
-        path = data['test'] if opt.task == 'test' else data['val']  # path to val/test images
-        dataloader = create_dataloader(path, imgsz, batch_size, int(max(model.stride)), opt,
-                                       hyp=None, augment=False, cache=False, pad=0.5, rect=True)[0]
-    seen = 0
-    names = model.names if hasattr(model, 'names') else model.module.names
-    coco91class = coco80_to_coco91_class()
-    s = ('%20s' + '%12s' * 6) % ('Class', 'Images', 'Targets', 'P', 'R', '[email protected]', '[email protected]:.95')
-    p, r, f1, mp, mr, map50, map, t0, t1 = 0., 0., 0., 0., 0., 0., 0., 0., 0.
-    loss = torch.zeros(3, device=device)
-    jdict, stats, ap, ap_class = [], [], [], []
-    for batch_i, (img, targets, paths, shapes) in enumerate(tqdm(dataloader, desc=s)):
-        img = img.to(device)
-        img = img.half() if half else img.float()  # uint8 to fp16/32
-        img /= 255.0  # 0 - 255 to 0.0 - 1.0
-        targets = targets.to(device)
-        nb, _, height, width = img.shape  # batch size, channels, height, width
-        whwh = torch.Tensor([width, height, width, height]).to(device)
-        # Disable gradients
-        with torch.no_grad():
-            # Run model
-            t = torch_utils.time_synchronized()
-            inf_out, train_out = model(img, augment=augment)  # inference and training outputs
-            t0 += torch_utils.time_synchronized() - t
-            # Compute loss
-            if training:  # if model has loss hyperparameters
-                loss += compute_loss([x.float() for x in train_out], targets, model)[1][:3]  # GIoU, obj, cls
-            # Run NMS
-            t = torch_utils.time_synchronized()
-            output = non_max_suppression(inf_out, conf_thres=conf_thres, iou_thres=iou_thres, merge=merge)
-            t1 += torch_utils.time_synchronized() - t
-        # Statistics per image
-        for si, pred in enumerate(output):
-            labels = targets[targets[:, 0] == si, 1:]
-            nl = len(labels)
-            tcls = labels[:, 0].tolist() if nl else []  # target class
-            seen += 1
-            if pred is None:
-                if nl:
-                    stats.append((torch.zeros(0, niou, dtype=torch.bool), torch.Tensor(), torch.Tensor(), tcls))
-                continue
-            # Append to text file
-            # with open('test.txt', 'a') as file:
-            #    [file.write('%11.5g' * 7 % tuple(x) + '\n') for x in pred]
-            # Clip boxes to image bounds
-            clip_coords(pred, (height, width))
-            # Append to pycocotools JSON dictionary
-            if save_json:
-                # [{"image_id": 42, "category_id": 18, "bbox": [258.15, 41.29, 348.26, 243.78], "score": 0.236}, ...
-                image_id = int(Path(paths[si]).stem.split('_')[-1])
-                box = pred[:, :4].clone()  # xyxy
-                scale_coords(img[si].shape[1:], box, shapes[si][0], shapes[si][1])  # to original shape
-                box = xyxy2xywh(box)  # xywh
-                box[:, :2] -= box[:, 2:] / 2  # xy center to top-left corner
-                for p, b in zip(pred.tolist(), box.tolist()):
-                    jdict.append({'image_id': image_id,
-                                  'category_id': coco91class[int(p[5])],
-                                  'bbox': [round(x, 3) for x in b],
-                                  'score': round(p[4], 5)})
-            # Assign all predictions as incorrect
-            correct = torch.zeros(pred.shape[0], niou, dtype=torch.bool, device=device)
-            if nl:
-                detected = []  # target indices
-                tcls_tensor = labels[:, 0]
-                # target boxes
-                tbox = xywh2xyxy(labels[:, 1:5]) * whwh
-                # Per target class
-                for cls in torch.unique(tcls_tensor):
-                    ti = (cls == tcls_tensor).nonzero().view(-1)  # prediction indices
-                    pi = (cls == pred[:, 5]).nonzero().view(-1)  # target indices
-                    # Search for detections
-                    if pi.shape[0]:
-                        # Prediction to target ious
-                        ious, i = box_iou(pred[pi, :4], tbox[ti]).max(1)  # best ious, indices
-                        # Append detections
-                        for j in (ious > iouv[0]).nonzero():
-                            d = ti[i[j]]  # detected target
-                            if d not in detected:
-                                detected.append(d)
-                                correct[pi[j]] = ious[j] > iouv  # iou_thres is 1xn
-                                if len(detected) == nl:  # all targets already located in image
-                                    break
-            # Append statistics (correct, conf, pcls, tcls)
-            stats.append((correct.cpu(), pred[:, 4].cpu(), pred[:, 5].cpu(), tcls))
-        # Plot images
-        if batch_i < 1:
-            f = 'test_batch%g_gt.jpg' % batch_i  # filename
-            plot_images(img, targets, paths, f, names)  # ground truth
-            f = 'test_batch%g_pred.jpg' % batch_i
-            plot_images(img, output_to_target(output, width, height), paths, f, names)  # predictions
-    # Compute statistics
-    stats = [np.concatenate(x, 0) for x in zip(*stats)]  # to numpy
-    if len(stats):
-        p, r, ap, f1, ap_class = ap_per_class(*stats)
-        p, r, ap50, ap = p[:, 0], r[:, 0], ap[:, 0], ap.mean(1)  # [P, R, [email protected], [email protected]:0.95]
-        mp, mr, map50, map = p.mean(), r.mean(), ap50.mean(), ap.mean()
-        nt = np.bincount(stats[3].astype(np.int64), minlength=nc)  # number of targets per class
-    else:
-        nt = torch.zeros(1)
-    # Print results
-    pf = '%20s' + '%12.3g' * 6  # print format
-    print(pf % ('all', seen, nt.sum(), mp, mr, map50, map))
-    # Print results per class
-    if verbose and nc > 1 and len(stats):
-        for i, c in enumerate(ap_class):
-            print(pf % (names[c], seen, nt[c], p[i], r[i], ap50[i], ap[i]))
-    # Print speeds
-    t = tuple(x / seen * 1E3 for x in (t0, t1, t0 + t1)) + (imgsz, imgsz, batch_size)  # tuple
-    if not training:
-        print('Speed: %.1f/%.1f/%.1f ms inference/NMS/total per %gx%g image at batch-size %g' % t)
-    # Save JSON
-    if save_json and map50 and len(jdict):
-        imgIds = [int(Path(x).stem.split('_')[-1]) for x in dataloader.dataset.img_files]
-        f = 'detections_val2017_%s_results.json' % \
-            (weights.split(os.sep)[-1].replace('.pt', '') if weights else '')  # filename
-        print('\nCOCO mAP with pycocotools... saving %s...' % f)
-        with open(f, 'w') as file:
-            json.dump(jdict, file)
-        try:
-            from pycocotools.coco import COCO
-            from pycocotools.cocoeval import COCOeval
-            # https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocoEvalDemo.ipynb
-            cocoGt = COCO(glob.glob('../coco/annotations/instances_val*.json')[0])  # initialize COCO ground truth api
-            cocoDt = cocoGt.loadRes(f)  # initialize COCO pred api
-            cocoEval = COCOeval(cocoGt, cocoDt, 'bbox')
-            cocoEval.params.imgIds = imgIds  # image IDs to evaluate
-            cocoEval.evaluate()
-            cocoEval.accumulate()
-            cocoEval.summarize()
-            map, map50 = cocoEval.stats[:2]  # update results ([email protected]:0.95, [email protected])
-        except:
-            print('WARNING: pycocotools must be installed with numpy==1.17 to run correctly. '
-                  'See https://github.com/cocodataset/cocoapi/issues/356')
-    # Return results
-    model.float()  # for training
-    maps = np.zeros(nc) + map
-    for i, c in enumerate(ap_class):
-        maps[c] = ap[i]
-    return (mp, mr, map50, map, *(loss.cpu() / len(dataloader)).tolist()), maps, t
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser(prog='test.py')
-    parser.add_argument('--weights', type=str, default='weights/yolov5s.pt', help='model.pt path')
-    parser.add_argument('--data', type=str, default='data/coco128.yaml', help='*.data path')
-    parser.add_argument('--batch-size', type=int, default=32, help='size of each image batch')
-    parser.add_argument('--img-size', type=int, default=640, help='inference size (pixels)')
-    parser.add_argument('--conf-thres', type=float, default=0.001, help='object confidence threshold')
-    parser.add_argument('--iou-thres', type=float, default=0.65, help='IOU threshold for NMS')
-    parser.add_argument('--save-json', action='store_true', help='save a cocoapi-compatible JSON results file')
-    parser.add_argument('--task', default='val', help="'val', 'test', 'study'")
-    parser.add_argument('--device', default='', help='cuda device, i.e. 0 or 0,1,2,3 or cpu')
-    parser.add_argument('--single-cls', action='store_true', help='treat as single-class dataset')
-    parser.add_argument('--augment', action='store_true', help='augmented inference')
-    parser.add_argument('--merge', action='store_true', help='use Merge NMS')
-    parser.add_argument('--verbose', action='store_true', help='report mAP by class')
-    opt = parser.parse_args()
-    opt.save_json = opt.save_json or opt.data.endswith('coco.yaml')
-    opt.data = check_file(opt.data)  # check file
-    print(opt)
-    # task = 'val', 'test', 'study'
-    if opt.task in ['val', 'test']:  # (default) run normally
-        test(opt.data,
-             opt.weights,
-             opt.batch_size,
-             opt.img_size,
-             opt.conf_thres,
-             opt.iou_thres,
-             opt.save_json,
-             opt.single_cls,
-             opt.augment,
-             opt.verbose)
-    elif opt.task == 'study':  # run over a range of settings and save/plot
-        for weights in ['yolov5s.pt', 'yolov5m.pt', 'yolov5l.pt', 'yolov5x.pt', 'yolov3-spp.pt']:
-            f = 'study_%s_%s.txt' % (Path(opt.data).stem, Path(weights).stem)  # filename to save to
-            x = list(range(352, 832, 64))  # x axis
-            y = []  # y axis
-            for i in x:  # img-size
-                print('\nRunning %s point %s...' % (f, i))
-                r, _, t = test(opt.data, weights, opt.batch_size, i, opt.conf_thres, opt.iou_thres, opt.save_json)
-                y.append(r + t)  # results and times
-            np.savetxt(f, y, fmt='%10.4g')  # save
-        os.system('zip -r study.zip study_*.txt')
-        # plot_study_txt(f, x)  # plot

spaces/Asifpa6/emotion-analyzer-app/README.md DELETED Viewed

@@ -1,13 +0,0 @@
----
-title: Emotion Analyzer App
-emoji: 📉
-colorFrom: green
-colorTo: pink
-sdk: streamlit
-sdk_version: 1.27.0
-app_file: app.py
-pinned: false
-license: openrail
----
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/Benson/text-generation/Examples/Balsa Supervivencia Ocano Nmada Dinero Ilimitado Apk.md DELETED Viewed

@@ -1,48 +0,0 @@
-<br />
-<h1>Supervivencia en balsa: Ocean Nomad - Un emocionante juego de aventuras</h1>
-<p>¿Te gustan los juegos de supervivencia que ponen a prueba tus habilidades y creatividad? ¿Quieres experimentar una aventura realista y emocionante en el océano? Si es así, entonces deberías probar Raft Survival: Ocean Nomad, un juego popular que tiene millones de fans en todo el mundo. En este artículo, le diremos todo lo que necesita saber sobre este juego, y cómo se puede descargar la versión apk dinero ilimitado para disfrutar de ella sin limitaciones. </p>
-<h2>Introducción</h2>
-<h3>¿Qué es la supervivencia en balsa: Nómada del océano? </h3>
-<p>Supervivencia en balsa: Ocean Nomad es un juego de simulador de supervivencia desarrollado por TREASTONE LTD. Está disponible para dispositivos Android e iOS. El juego te pone en el papel de un sobreviviente que está varado en una balsa en medio del océano. Su objetivo principal es sobrevivir el mayor tiempo posible encontrando alimentos, agua y recursos en las islas y en el agua. También tienes que crear y actualizar tu balsa y equipo, luchar contra los tiburones y otros enemigos, y superar varios desafíos y peligros. </p>
-<h2>balsa supervivencia océano nómada dinero ilimitado apk</h2><br /><p><b><b>Download</b> &#9913; <a href="https://bltlly.com/2v6Lt7">https://bltlly.com/2v6Lt7</a></b></p><br /><br />
-<h3>¿Por qué descargar el dinero ilimitado apk? </h3>
-<p>El juego es gratis, pero tiene algunas compras en la aplicación que pueden mejorar su juego y hacerlo más fácil. Por ejemplo, puedes comprar monedas, gemas, cofres, armas, herramientas, pieles y más. Sin embargo, estos artículos pueden ser bastante caros, y no todos pueden permitírselos. Es por eso que algunos jugadores prefieren descargar el dinero ilimitado apk versión del juego, que les da acceso a monedas y gemas ilimitadas. Con esta versión, puedes comprar lo que quieras sin gastar dinero real. También puedes desbloquear todas las funciones y elementos que están bloqueados o restringidos en el juego original. </p>
-<h2>Características de la supervivencia de la balsa: nómada del océano</h2>
-<h3>Explora el vasto océano y las islas</h3>
-<h3>Crea y mejora tu balsa y equipo</h3>
-<p>Para sobrevivir en este juego, necesitas crear y actualizar tu balsa y equipo. Puedes usar los materiales que encuentres en las islas o en el agua para construir tu balsa más grande y fuerte. También puede añadir diferentes estructuras y artículos a su balsa, tales como paredes, pisos, techos, escaleras, puertas, ventanas, camas, cofres, mesas, sillas, lámparas, etc. También puede elaborar diversas herramientas y armas para ayudarle en su viaje de supervivencia, como hachas, martillos, cuchillos, lanzas, arcos, armas, etc.</p>
-<p></p>
-<h3>Lucha contra tiburones y otros enemigos</h3>
-<p>El océano no es un lugar seguro. Encontrarás muchos enemigos que intentarán atacarte o destruir tu balsa. El enemigo más común es el tiburón, que girará constantemente alrededor de su balsa y lo morderá. Tienes que luchar con tus armas o usar trampas y redes para atraparlo. También te enfrentarás a otros enemigos como piratas, mutantes, zombies, caníbales, etc., dependiendo de la isla que visites. Tienes que estar preparado para cualquier cosa en este juego. </p>
-<h3>Sobrevivir a las duras condiciones y desafíos</h3>
-<p>Además de los enemigos, tú <p>Además de los enemigos, también tienes que sobrevivir a las duras condiciones y desafíos del océano. Tienes que controlar tus niveles de hambre, sed, salud y resistencia, y comer y beber regularmente. También tienes que protegerte del clima, como lluvia, tormenta, calor, frío, etc. Puedes usar ropa, fuego, refugio, etc., para mantenerte caliente y seco. También tienes que enfrentarte a eventos y misiones al azar que pondrán a prueba tus habilidades y suerte. Por ejemplo, puede encontrarse con un naufragio, un accidente de avión, un mapa del tesoro, un mensaje en una botella, etc.</p>
-<h2>Cómo descargar e instalar Raft Survival: Ocean Nomad dinero ilimitado apk? </h2>
-<h3>Paso 1: Descargar el archivo apk de una fuente de confianza</h3>
-<p><a href="">Descargar Raft Survival: Ocean Nomad unlimited money apk</a></p>
-<h3>Paso 2: Habilitar fuentes desconocidas en el dispositivo</h3>
-<p>El siguiente paso es habilitar fuentes desconocidas en su dispositivo. Esto le permitirá instalar aplicaciones que no son de la tienda oficial de Google Play. Para hacer esto, vaya a la configuración del dispositivo y busque opciones de seguridad o privacidad. Entonces, encontrar la opción que dice fuentes desconocidas o permitir la instalación de aplicaciones de fuentes desconocidas y encenderlo. Puede ver un mensaje de advertencia que dice que instalar aplicaciones de fuentes desconocidas puede dañar su dispositivo. Simplemente ignórelo y proceda. </p>
-<h3>Paso 3: Instalar el archivo apk y lanzar el juego</h3>
-<p>El paso final es instalar el archivo apk y lanzar el juego. Para hacer esto, busque el archivo apk en su dispositivo y toque en él. Puede ver una ventana emergente que le pide que confirme la instalación. Simplemente toque en instalar y espere a que termine el proceso. Una vez que la instalación se hace, puede iniciar el juego tocando en su icono en la pantalla de inicio o cajón de aplicaciones. Ahora puedes disfrutar de Raft Survival: Ocean Nomad con dinero ilimitado. </p>
-<h2>Conclusión</h2>
-<h3>Resumen de los puntos principales</h3>
-<p>Supervivencia en balsa: Ocean Nomad es un juego de simulador de supervivencia que te permite experimentar una aventura realista y emocionante en el océano. Tienes que sobrevivir el mayor tiempo posible encontrando comida, agua y recursos en las islas y en el agua. También tienes que crear y actualizar tu balsa y equipo, luchar contra los tiburones y otros enemigos, y sobrevivir a las duras condiciones y desafíos del océano. Puede descargar la versión apk dinero ilimitado del juego para disfrutarlo sin limitaciones. </p>
-<h3>Llamada a la acción</h3>
-<p>Si usted está listo para embarcarse en esta aventura emocionante, entonces no dude en descargar Raft Survival: Ocean Nomad dinero ilimitado apk hoy. No te arrepentirás. Este juego te mantendrá entretenido durante horas con sus increíbles gráficos, jugabilidad y características. ¡Descárgalo ahora y diviértete! </p>
-<ul>
-<li><b>Q: ¿Es la supervivencia de la balsa: Ocean Nomad dinero ilimitado apk seguro de usar? </b></li>
-<li>A: Sí, Raft Supervivencia: Ocean Nomad dinero ilimitado apk es seguro de usar siempre y cuando se descarga de una fuente de confianza. Sin embargo, siempre debe tener cuidado al instalar aplicaciones de fuentes desconocidas y escanearlas en busca de virus o malware antes de instalarlas. </li>
-<li><b>Q: ¿Tengo que rootear mi dispositivo para usar Raft Survival: Ocean Nomad unlimited money apk? </b></li>
-<li>A: No, usted no necesita rootear su dispositivo para utilizar Raft Survival: Ocean Nomad dinero ilimitado apk. Solo necesita habilitar fuentes desconocidas en la configuración de su dispositivo e instalar el archivo apk normalmente. </li>
-<li><b>Q: ¿Perderé mi progreso si desinstalo Raft Survival: Ocean Nomad dinero ilimitado apk? </b></li>
-<li>A: No, usted no perderá su progreso si desinstala Raft Survival: Ocean Nomad dinero ilimitado apk. Tu progreso se guarda en el almacenamiento del dispositivo y se puede restaurar cuando reinstales el juego. </li>
-<li><b>Q: ¿Puedo jugar Raft Survival: Ocean Nomad con mis amigos en línea? </b></li>
-<li>A: Sí, puedes jugar Raft Survival: Ocean Nomad con tus amigos en línea. El juego tiene un modo multijugador que le permite unirse o crear un servidor y jugar con otros jugadores de todo el mundo. </li>
-<li><b>Q: ¿Cómo puedo contactar a los desarrolladores de Raft Survival: Ocean Nomad? </b></li>
-<li>A: Puede ponerse en contacto con los desarrolladores de Raft Survival: Ocean Nomad enviándoles un correo electrónico a [email protected] o visitando su sitio web en https://treastone.com/.</li>
-</ul>
- <p>Espero que haya disfrutado de este artículo y le haya resultado útil. Si tiene alguna pregunta o comentario, deje un comentario a continuación. ¡Gracias por leer y jugar feliz! </p> 64aa2da5cf<br />
-<br />
-<br />

spaces/Benson/text-generation/Examples/Corte De La Liga De Ftbol Mundial.md DELETED Viewed

@@ -1,68 +0,0 @@
-<br />
-<h1>Liga Mundial de Fútbol Hack Descargar: Cómo desbloquear todos los equipos, trofeos y modos</h1>
-<p>Si eres un fan de los juegos de fútbol, es posible que hayas oído hablar de la Liga Mundial de Fútbol, un juego popular que ofrece gráficos realistas, efectos de sonido y jugabilidad. Puedes elegir entre alrededor de 60 equipos nacionales, 60 clubes y 2000 jugadores, y jugar en varios modos como exhibición, copa, liga y entrenamiento. También puede disfrutar de espléndido goteo, disparos emocionante, y habilidades increíbles en este juego. </p>
-<h2>corte de la liga de fútbol mundial</h2><br /><p><b><b>Download</b> &middot;&middot;&middot; <a href="https://bltlly.com/2v6JhY">https://bltlly.com/2v6JhY</a></b></p><br /><br />
-<p>Sin embargo, si quieres experimentar todo lo que la Liga Mundial de Fútbol tiene para ofrecer, es posible que tenga que utilizar un hack. Un hack puede ayudarte a desbloquear todos los equipos, jugadores, trofeos, logros, modos y características que están restringidos o requieren compras en la aplicación. Con un hack, puedes jugar con cualquier equipo que quieras, ganar cualquier trofeo que desees y acceder a cualquier modo que quieras. </p>
-<p>Pero antes de descargar e instalar un hack para la Liga Mundial de Fútbol, usted debe ser consciente de los beneficios y riesgos de usar uno. Un hack puede hacer que tu juego sea más divertido y emocionante, pero también puede exponer tu dispositivo a malware, virus o prohibiciones. Por lo tanto, debe tener cuidado al elegir una fuente para el archivo de corte, y siga las instrucciones cuidadosamente al instalarlo y usarlo. </p>
-<h2>Cómo descargar e instalar la Liga Mundial de Fútbol Hack</h2>
-<p>Si ha decidido utilizar un hack para la Liga Mundial de Fútbol, aquí están los pasos que debe seguir:</p>
-<h3>Paso 1: Encontrar una fuente confiable para el archivo de corte</h3>
-<p>Lo primero que tienes que hacer es encontrar un sitio web que ofrece un trabajo y archivo de hackeo seguro para la Liga Mundial de Fútbol. Usted puede buscar en línea para los comentarios, calificaciones, o comentarios de otros usuarios que han intentado el hack. También puede comprobar la fecha de la última actualización del archivo hack para asegurarse de que es compatible con la última versión del juego. </p>
-<h3>Paso 2: Descargar el archivo de corte a su dispositivo</h3>
-<p>Una vez que haya encontrado una fuente confiable para el archivo hack, debe descargarlo en su dispositivo. Puede utilizar su navegador o una aplicación de administrador de descargas para hacer esto <p>Asegúrese de que tiene suficiente espacio de almacenamiento en el dispositivo antes de descargar el archivo de corte. El tamaño del archivo puede variar dependiendo de la fuente, pero generalmente es de alrededor de 40 MB.</p>
-<p></p>
-<h3>Paso 3: Habilitar fuentes desconocidas en la configuración del dispositivo</h3>
-<p>Después de descargar el archivo de corte, es necesario habilitar fuentes desconocidas en la configuración del dispositivo. Esto le permitirá instalar aplicaciones desde fuentes distintas de la tienda de aplicaciones oficial. Para hacer esto, vaya a la configuración del dispositivo, luego a la seguridad, luego a fuentes desconocidas y conéctela. Puede ver un mensaje de advertencia de que instalar aplicaciones de fuentes desconocidas puede dañar su dispositivo, pero puede ignorarlo si confía en la fuente del archivo de hackeo. </p>
-<h3>Paso 4: Instalar el archivo de corte y lanzar el juego</h3>
-<p>El paso final es instalar el archivo de corte y lanzar el juego. Para hacer esto, busque el archivo de hackeo en el almacenamiento del dispositivo, toque en él y siga las instrucciones de instalación. Es posible que tenga que permitir algunos permisos para que la aplicación se ejecute correctamente. Una vez que se complete la instalación, puede abrir el juego y disfrutar del hack. </p>
-<h2>Cómo utilizar la Liga Mundial de Fútbol Hack</h2>
-<p>Ahora que ha instalado el hack para la Liga Mundial de Fútbol, se puede utilizar para desbloquear todos los equipos, trofeos, modos y características en el juego. Aquí hay algunos consejos sobre cómo utilizar el hack:</p>
-<h3>Cómo desbloquear todos los equipos y jugadores</h3>
-<h3>Cómo desbloquear todos los trofeos y logros</h3>
-<p>Con el hack, también puede desbloquear todos los trofeos y logros en la Liga Mundial de Fútbol. Puedes ganar trofeos ganando partidos, ligas, copas o torneos en diferentes modos. También puedes ganar logros al completar varias tareas o desafíos en el juego. Para desbloquear todos los trofeos y logros, ve a la pantalla de trofeos o logros y toca cualquier trofeo o logro que desees. Verá un mensaje que dice "Desbloqueado por la Liga Mundial de Fútbol Hack". A continuación, puede reclamar ese trofeo o logro y verlo en su perfil. </p>
-<h3>Cómo desbloquear todos los modos y características</h3>
-<p>Con el hack, también puede desbloquear todos los modos y características en la Liga Mundial de Fútbol. Puedes jugar en varios modos como exhibición, copa, liga y entrenamiento. También puede disfrutar de funciones como la repetición, guardar/ cargar, reproducción automática, modo de edición y más. Para desbloquear todos los modos y características, vaya al modo o pantalla de funciones y toque en cualquier modo o característica que desee. Verá un mensaje que dice "Desbloqueado por la Liga Mundial de Fútbol Hack". A continuación, puede acceder a ese modo o característica y divertirse. </p>
-<h2> Consejos y trucos para jugar la Liga Mundial de Fútbol con Hack</h2>
-<p>Jugar a la Liga Mundial de Fútbol con hack puede ser muy agradable y satisfactorio, pero también puede ser desafiante y competitivo. Aquí hay algunos consejos y trucos para ayudarle a jugar mejor y divertirse más con el hack:</p>
-<h3>Consejo 1: Elige el mejor equipo y formación para tu estilo</h3>
-<p>Con el hack, puedes jugar con cualquier equipo que quieras, pero no todos los equipos son iguales en la Liga Mundial de Fútbol. Algunos equipos tienen mejores estadísticas, habilidades o química que otros. Algunos equipos también tienen diferentes formaciones, tácticas o estrategias que se adaptan a diferentes estilos de juego. Por lo tanto, debe elegir un equipo que coincida con su estilo de juego. </p>
-<p>También debes elegir una formación que se adapte a tu equipo y a tu estilo. Puede elegir entre varias formaciones como 4-4-2, 4-3-3, 3-5-2, 5-3-2 y más. También puedes personalizar tu formación cambiando las posiciones, roles o instrucciones de tus jugadores. Deberías experimentar con diferentes formaciones y encontrar la que funcione mejor para ti. </p>
-<h3>Consejo 2: Dominar las diferentes habilidades y movimientos para vencer a los defensores</h3>
-<p>Con el hack, puedes jugar con cualquier jugador que quieras, pero no todos los jugadores son iguales en la Liga Mundial de Fútbol. Algunos jugadores tienen mejores habilidades, movimientos o rasgos que otros. Algunos jugadores también tienen diferentes habilidades, estilos o especialidades que los hacen destacar del resto. Por lo tanto, debes dominar las diferentes habilidades y movimientos que cada jugador puede realizar. </p>
-<p>Por ejemplo, si juegas con un jugador como Messi o Neymar, puedes usar sus altas estadísticas de regateo y habilidad para realizar trucos increíbles y fintas para vencer a los defensores. Si juegas con un jugador como Ronaldo o Ibrahimovic, puedes usar sus altas estadísticas de tiro y potencia para desatar poderosos tiros y encabezados para marcar goles. Si juegas con un jugador como Modric o De Bruyne, puedes usar sus altas estadísticas de pases y visión para crear oportunidades y asistencias para tus compañeros de equipo. </p>
-<p>También debes aprender los diferentes botones y gestos que te permiten realizar diferentes habilidades y movimientos en el juego. Puede utilizar el joystick virtual para controlar la dirección y la velocidad de su reproductor. Puede utilizar el botón A para pasar o abordar, el botón B para disparar o deslizarse, el botón C para correr o cambiar de jugador, y el botón D para la habilidad o la presión. También puede deslizar el dedo en la pantalla para realizar varias acciones, como pase de lóbulo, disparo de chip, tiro de curva, pase largo, a través de la bola, y más. Debes practicar las diferentes habilidades y movimientos en el modo de entrenamiento o en partidos fáciles antes de usarlos en partidos más difíciles. </p>
-<h3>Consejo 3: Utilice los botones y el tiempo adecuados para disparar y pasar</h3>
-<p>Por ejemplo, si juegas en el modo de exhibición o en el modo copa, puedes usar cualquier botón o gesto para disparar o pasar siempre y cuando apuntes bien y lo cronometras correctamente. Sin embargo, si juegas en el modo liga o en el modo torneo <p>necesitas usar el botón o gesto correcto para disparar o pasar dependiendo de la situación. Por ejemplo, debe usar el botón B o deslizar hacia arriba para un disparo potente, el botón A o deslizar hacia abajo para un disparo bajo, el botón D o deslizar hacia la izquierda o hacia la derecha para un disparo de curva, etc. También necesitas cronometrar tu tiro o pase según la posición, el movimiento y el ángulo de tu jugador y la pelota. </p>
-<p>Si juegas en el modo de entrenamiento o en el modo de edición, puedes usar cualquier botón o gesto para disparar o pasar siempre que completes la tarea o desafío. Sin embargo, si juegas en el modo de repetición o en el modo guardar/cargar, necesitas usar el botón o gesto derecho para disparar o pasar de acuerdo con la acción grabada. Por ejemplo, necesitas usar el mismo botón o gesto que se usó en la acción original para reproducirlo o cargarlo. </p>
-<h3>Consejo 4: Ajusta el nivel de dificultad y la velocidad del juego según tu preferencia</h3>
-<p>Con el hack, también puede ajustar el nivel de dificultad y la velocidad de juego de la Liga Mundial de Fútbol de acuerdo a su preferencia. Puedes elegir entre cuatro niveles de dificultad: fácil, normal, duro y muy difícil. También puedes elegir entre tres velocidades de juego: lenta, normal y rápida. Puede cambiar estos ajustes en el menú de opciones antes de iniciar una coincidencia. </p>
-<p>El nivel de dificultad y la velocidad del juego afectan lo desafiante y realista que es el juego. Cuanto mayor sea el nivel de dificultad, más hábiles e inteligentes serán los oponentes. Cuanto mayor sea la velocidad del juego, más dinámico y rápido será el juego. Debes elegir un nivel de dificultad y velocidad de juego que coincidan con tu nivel de habilidad y estilo de juego. </p>
-<h3>Consejo 5: Disfrutar de los gráficos realistas y efectos de sonido del juego</h3>
-<p>Con el hack, también se puede disfrutar de los gráficos realistas y efectos de sonido de la Liga Mundial de Fútbol. El juego tiene gráficos de alta calidad que muestran jugadores detallados, estadios, campos, bolas y animaciones. El juego también tiene efectos de sonido realistas que incluyen ruidos de multitud, silbatos de árbitro, voces de jugador, sonidos de pelota y más. Puede ajustar la calidad gráfica y el volumen de sonido en el menú de opciones antes de iniciar una coincidencia. </p>
-<p>Los gráficos y efectos de sonido de World Soccer League hacen que el juego sea más inmersivo y agradable. Crean una sensación de ambiente y emoción que te hacen sentir como si estuvieras viendo o jugando un partido de fútbol real. Deberías apreciar los gráficos y efectos de sonido de World Soccer League y divertirte con ellos. </p>
-<h2>Conclusión</h2>
-<p>World Soccer League es un gran juego para los aficionados al fútbol que quieren experimentar gráficos realistas, efectos de sonido y jugabilidad. Sin embargo, si quieres desbloquear todos los equipos, trofeos, modos y características en la Liga Mundial de Fútbol, es posible que tenga que utilizar un hack. Un hack puede ayudarle a acceder a todo lo que la Liga Mundial de Fútbol tiene para ofrecer sin gastar dinero o tiempo. </p>
-<p>Pero antes de utilizar un hack para la Liga Mundial de Fútbol, usted debe ser consciente de los beneficios y riesgos de usar uno. Un hack puede hacer que tu juego sea más divertido y emocionante, pero también puede exponer tu dispositivo a malware, virus o prohibiciones. Por lo tanto <p>Por lo tanto, debe tener cuidado al elegir una fuente para el archivo de corte, y siga las instrucciones cuidadosamente al instalarlo y usarlo. También debes usar el hack de manera responsable y ética, y no abusar de él o dañar a otros jugadores. </p>
-<p>Si sigues estos consejos y trucos, se puede disfrutar de la Liga Mundial de Fútbol con hack y tener un montón de diversión. Puedes jugar con cualquier equipo, ganar cualquier trofeo y acceder a cualquier modo que quieras. También puedes mejorar tus habilidades, desafiarte y sumergirte en el juego. </p>
-<h2>Preguntas frecuentes</h2>
-<p>Aquí hay algunas preguntas frecuentes sobre el hack de la Liga Mundial de Fútbol:</p>
-<tabla>
-<tr><td><b>Q1: ¿Es seguro usar el hack de la Liga Mundial de Fútbol? </b></td></tr>
-<tr><td>A1: Hackeo de la Liga Mundial de Fútbol es seguro de usar si lo descarga de una fuente confiable y sigue las instrucciones de instalación y uso. Sin embargo, siempre hay un riesgo de malware, virus o prohibiciones al usar un hack, por lo que debe usarlo bajo su propio riesgo y discreción. </td></tr>
-<tr><td><b>Q2: ¿Funcionará la Liga Mundial de Fútbol en cualquier dispositivo? </b></td></tr>
-<tr><td>A2: El hackeo de la Liga Mundial de Fútbol funcionará en cualquier dispositivo que soporte el juego. El juego es compatible con Android 4.0 y hasta dispositivos. Sin embargo, el rendimiento y la calidad del juego y el hack pueden variar dependiendo de las especificaciones y ajustes del dispositivo. </td></tr>
-<tr><td><b>Q3: ¿Puedo jugar la Liga Mundial de Fútbol en línea con hack? </b></td></tr>
-<tr><td>A3: El hack de la Liga Mundial de Fútbol no afecta el modo en línea del juego. Todavía puede jugar en línea con otros jugadores que tienen la versión original o hackeada del juego. Sin embargo, debes ser respetuoso y justo al jugar en línea, y no usar el hack para engañar o acosar a otros jugadores. </td></tr>
-<tr><td><b>Q4: ¿Puedo actualizar la Liga Mundial de Fútbol después de instalar hack? </b></td></tr>
-<tr><td>A4: El hack de la Liga Mundial de Fútbol puede no funcionar si actualizas el juego después de instalarlo. La actualización puede sobrescribir o eliminar el archivo de hackeo, o hacerlo incompatible con el juego. Por lo tanto, debe evitar actualizar el juego después de instalar el hack, o hacer una copia de seguridad del archivo hack antes de actualizar. </td></tr>
-<tr><td><b>Q5: ¿Dónde puedo encontrar más información sobre la Liga Mundial de Fútbol? </b></td></tr>
-</table></p> 64aa2da5cf<br />
-<br />
-<br />

spaces/BetterAPI/BetterChat_new/src/lib/types/AbortedGeneration.ts DELETED Viewed

@@ -1,8 +0,0 @@
-// Ideally shouldn't be needed, see https://github.com/huggingface/chat-ui/pull/88#issuecomment-1523173850
-import type { Conversation } from "./Conversation";
-import type { Timestamps } from "./Timestamps";
-export interface AbortedGeneration extends Timestamps {
-	conversationId: Conversation["_id"];
-}

spaces/Big-Web/MMSD/env/Lib/site-packages/pip/_vendor/requests/hooks.py DELETED Viewed

@@ -1,33 +0,0 @@
-"""
-requests.hooks
-~~~~~~~~~~~~~~
-This module provides the capabilities for the Requests hooks system.
-Available hooks:
-``response``:
-    The response generated from a Request.
-"""
-HOOKS = ["response"]
-def default_hooks():
-    return {event: [] for event in HOOKS}
-# TODO: response is the only one
-def dispatch_hook(key, hooks, hook_data, **kwargs):
-    """Dispatches a hook dictionary on a given piece of data."""
-    hooks = hooks or {}
-    hooks = hooks.get(key)
-    if hooks:
-        if hasattr(hooks, "__call__"):
-            hooks = [hooks]
-        for hook in hooks:
-            _hook_data = hook(hook_data, **kwargs)
-            if _hook_data is not None:
-                hook_data = _hook_data
-    return hook_data

spaces/Big-Web/MMSD/env/Lib/site-packages/pip/_vendor/rich/screen.py DELETED Viewed

@@ -1,54 +0,0 @@
-from typing import Optional, TYPE_CHECKING
-from .segment import Segment
-from .style import StyleType
-from ._loop import loop_last
-if TYPE_CHECKING:
-    from .console import (
-        Console,
-        ConsoleOptions,
-        RenderResult,
-        RenderableType,
-        Group,
-    )
-class Screen:
-    """A renderable that fills the terminal screen and crops excess.
-    Args:
-        renderable (RenderableType): Child renderable.
-        style (StyleType, optional): Optional background style. Defaults to None.
-    """
-    renderable: "RenderableType"
-    def __init__(
-        self,
-        *renderables: "RenderableType",
-        style: Optional[StyleType] = None,
-        application_mode: bool = False,
-    ) -> None:
-        from pip._vendor.rich.console import Group
-        self.renderable = Group(*renderables)
-        self.style = style
-        self.application_mode = application_mode
-    def __rich_console__(
-        self, console: "Console", options: "ConsoleOptions"
-    ) -> "RenderResult":
-        width, height = options.size
-        style = console.get_style(self.style) if self.style else None
-        render_options = options.update(width=width, height=height)
-        lines = console.render_lines(
-            self.renderable or "", render_options, style=style, pad=True
-        )
-        lines = Segment.set_shape(lines, width, height, style=style)
-        new_line = Segment("\n\r") if self.application_mode else Segment.line()
-        for last, line in loop_last(lines):
-            yield from line
-            if not last:
-                yield new_line

spaces/Big-Web/MMSD/env/Lib/site-packages/setuptools/config/_validate_pyproject/extra_validations.py DELETED Viewed

@@ -1,36 +0,0 @@
-"""The purpose of this module is implement PEP 621 validations that are
-difficult to express as a JSON Schema (or that are not supported by the current
-JSON Schema library).
-"""
-from typing import Mapping, TypeVar
-from .error_reporting import ValidationError
-T = TypeVar("T", bound=Mapping)
-class RedefiningStaticFieldAsDynamic(ValidationError):
-    """According to PEP 621:
-    Build back-ends MUST raise an error if the metadata specifies a field
-    statically as well as being listed in dynamic.
-    """
-def validate_project_dynamic(pyproject: T) -> T:
-    project_table = pyproject.get("project", {})
-    dynamic = project_table.get("dynamic", [])
-    for field in dynamic:
-        if field in project_table:
-            msg = f"You cannot provide a value for `project.{field}` and "
-            msg += "list it under `project.dynamic` at the same time"
-            name = f"data.project.{field}"
-            value = {field: project_table[field], "...": " # ...", "dynamic": dynamic}
-            raise RedefiningStaticFieldAsDynamic(msg, value, name, rule="PEP 621")
-    return pyproject
-EXTRA_VALIDATIONS = (validate_project_dynamic,)

spaces/CVPR/LIVE/thrust/internal/scripts/eris_perf.py DELETED Viewed

@@ -1,189 +0,0 @@
-#! /usr/bin/env python
-# -*- coding: utf-8 -*-
-###############################################################################
-# Copyright (c) 2018 NVIDIA Corporation
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-###############################################################################
-from sys import exit
-from os.path import join, dirname, basename, realpath
-from csv import DictReader as csv_dict_reader
-from subprocess import Popen
-from argparse import ArgumentParser as argument_parser
-###############################################################################
-def printable_cmd(c):
-  """Converts a `list` of `str`s representing a shell command to a printable
-  `str`."""
-  return " ".join(map(lambda e: '"' + str(e) + '"', c))
-###############################################################################
-def print_file(p):
-  """Open the path `p` and print its contents to `stdout`."""
-  print "********************************************************************************"
-  with open(p) as f:
-    for line in f:
-      print line,
-  print "********************************************************************************"
-###############################################################################
-ap = argument_parser(
-  description = (
-    "CUDA Eris driver script: runs a benchmark suite multiple times, combines "
-    "the results, and outputs them in the CUDA Eris performance result format."
-  )
-)
-ap.add_argument(
-  "-b", "--benchmark",
-  help = ("The location of the benchmark suite executable to run."),
-  type = str,
-  default = join(dirname(realpath(__file__)), "bench"),
-  metavar = "R"
-)
-ap.add_argument(
-  "-p", "--postprocess",
-  help = ("The location of the postprocessing script to run to combine the "
-          "results."),
-  type = str,
-  default = join(dirname(realpath(__file__)), "combine_benchmark_results.py"),
-  metavar = "R"
-)
-ap.add_argument(
-  "-r", "--runs",
-  help = ("Run the benchmark suite `R` times.a),"),
-  type = int, default = 5,
-  metavar = "R"
-)
-args = ap.parse_args()
-if args.runs <= 0:
-  print "ERROR: `--runs` must be greater than `0`."
-  ap.print_help()
-  exit(1)
-BENCHMARK_EXE             = args.benchmark
-BENCHMARK_NAME            = basename(BENCHMARK_EXE)
-POSTPROCESS_EXE           = args.postprocess
-OUTPUT_FILE_NAME          = lambda i: BENCHMARK_NAME + "_" + str(i) + ".csv"
-COMBINED_OUTPUT_FILE_NAME = BENCHMARK_NAME + "_combined.csv"
-###############################################################################
-print '&&&& RUNNING {0}'.format(BENCHMARK_NAME)
-print '#### RUNS {0}'.format(args.runs)
-###############################################################################
-print '#### CMD {0}'.format(BENCHMARK_EXE)
-for i in xrange(args.runs):
-  with open(OUTPUT_FILE_NAME(i), "w") as output_file:
-    print '#### RUN {0} OUTPUT -> {1}'.format(i, OUTPUT_FILE_NAME(i))
-    p = None
-    try:
-      p = Popen(BENCHMARK_EXE, stdout = output_file, stderr = output_file)
-      p.communicate()
-    except OSError as ex:
-      print_file(OUTPUT_FILE_NAME(i))
-      print '#### ERROR Caught OSError `{0}`.'.format(ex)
-      print '&&&& FAILED {0}'.format(BENCHMARK_NAME)
-      exit(-1)
-  print_file(OUTPUT_FILE_NAME(i))
-  if p.returncode != 0:
-    print '#### ERROR Process exited with code {0}.'.format(p.returncode)
-    print '&&&& FAILED {0}'.format(BENCHMARK_NAME)
-    exit(p.returncode)
-###############################################################################
-post_cmd = [POSTPROCESS_EXE]
-# Add dependent variable options.
-post_cmd += ["-dSTL Average Walltime,STL Walltime Uncertainty,STL Trials"]
-post_cmd += ["-dSTL Average Throughput,STL Throughput Uncertainty,STL Trials"]
-post_cmd += ["-dThrust Average Walltime,Thrust Walltime Uncertainty,Thrust Trials"]
-post_cmd += ["-dThrust Average Throughput,Thrust Throughput Uncertainty,Thrust Trials"]
-post_cmd += [OUTPUT_FILE_NAME(i) for i in range(args.runs)]
-print '#### CMD {0}'.format(printable_cmd(post_cmd))
-with open(COMBINED_OUTPUT_FILE_NAME, "w") as output_file:
-  p = None
-  try:
-    p = Popen(post_cmd, stdout = output_file, stderr = output_file)
-    p.communicate()
-  except OSError as ex:
-    print_file(COMBINED_OUTPUT_FILE_NAME)
-    print '#### ERROR Caught OSError `{0}`.'.format(ex)
-    print '&&&& FAILED {0}'.format(BENCHMARK_NAME)
-    exit(-1)
-  print_file(COMBINED_OUTPUT_FILE_NAME)
-  if p.returncode != 0:
-    print '#### ERROR Process exited with code {0}.'.format(p.returncode)
-    print '&&&& FAILED {0}'.format(BENCHMARK_NAME)
-    exit(p.returncode)
-  with open(COMBINED_OUTPUT_FILE_NAME) as input_file:
-    reader = csv_dict_reader(input_file)
-    variable_units = reader.next() # Get units header row.
-    distinguishing_variables = reader.fieldnames
-    measured_variables = [
-      ("STL Average Throughput",    "+"),
-      ("Thrust Average Throughput", "+")
-    ]
-    for record in reader:
-      for variable, directionality in measured_variables:
-        # Don't monitor regressions for STL implementations, nvbug 28980890:
-        if "STL" in variable:
-          continue
-        print "&&&& PERF {0}_{1}_{2}bit_{3}mib_{4} {5} {6}{7}".format(
-          record["Algorithm"],
-          record["Element Type"],
-          record["Element Size"],
-          record["Total Input Size"],
-          variable.replace(" ", "_").lower(),
-          record[variable],
-          directionality,
-          variable_units[variable]
-        )
-###############################################################################
-print '&&&& PASSED {0}'.format(BENCHMARK_NAME)

spaces/CVPR/LIVE/thrust/thrust/system/cuda/detail/execution_policy.h DELETED Viewed

@@ -1,99 +0,0 @@
-/******************************************************************************
- * Copyright (c) 2018, NVIDIA CORPORATION.  All rights reserved.
- *
- * Redistribution and use in source and binary forms, with or without
- * modification, are permitted provided that the following conditions are met:
- *     * Redistributions of source code must retain the above copyright
- *       notice, this list of conditions and the following disclaimer.
- *     * Redistributions in binary form must reproduce the above copyright
- *       notice, this list of conditions and the following disclaimer in the
- *       documentation and/or other materials provided with the distribution.
- *     * Neither the name of the NVIDIA CORPORATION nor the
- *       names of its contributors may be used to endorse or promote products
- *       derived from this software without specific prior written permission.
- *
- * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
- * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
- * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
- * ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
- * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
- * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
- * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
- * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- *
- ******************************************************************************/
-#pragma once
-#include <thrust/version.h>
-#include <thrust/detail/execution_policy.h>
-#include <thrust/iterator/detail/any_system_tag.h>
-#include <thrust/system/cuda/config.h>
-#include <thrust/detail/allocator_aware_execution_policy.h>
-#if THRUST_CPP_DIALECT >= 2011
-  #include <thrust/detail/dependencies_aware_execution_policy.h>
-#endif
-namespace thrust
-{
-namespace cuda_cub
-{
-struct tag;
-template <class>
-struct execution_policy;
-template <>
-struct execution_policy<tag> : thrust::execution_policy<tag>
-{
-  typedef tag tag_type;
-};
-struct tag : execution_policy<tag>
-, thrust::detail::allocator_aware_execution_policy<cuda_cub::execution_policy>
-#if THRUST_CPP_DIALECT >= 2011
-, thrust::detail::dependencies_aware_execution_policy<cuda_cub::execution_policy>
-#endif
-{};
-template <class Derived>
-struct execution_policy : thrust::execution_policy<Derived>
-{
-  typedef tag tag_type;
-  operator tag() const { return tag(); }
-};
-} // namespace cuda_cub
-namespace system { namespace cuda { namespace detail
-{
-using thrust::cuda_cub::tag;
-using thrust::cuda_cub::execution_policy;
-}}} // namespace system::cuda::detail
-namespace system { namespace cuda
-{
-using thrust::cuda_cub::tag;
-using thrust::cuda_cub::execution_policy;
-}} // namespace system::cuda
-namespace cuda
-{
-using thrust::cuda_cub::tag;
-using thrust::cuda_cub::execution_policy;
-} // namespace cuda
-} // end namespace thrust

spaces/CVPR/LIVE/thrust/thrust/system/tbb/detail/scan_by_key.h DELETED Viewed

@@ -1,23 +0,0 @@
-/*
- *  Copyright 2008-2013 NVIDIA Corporation
- *
- *  Licensed under the Apache License, Version 2.0 (the "License");
- *  you may not use this file except in compliance with the License.
- *  You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- *  Unless required by applicable law or agreed to in writing, software
- *  distributed under the License is distributed on an "AS IS" BASIS,
- *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- *  See the License for the specific language governing permissions and
- *  limitations under the License.
- */
-#pragma once
-#include <thrust/detail/config.h>
-// this system inherits scan_by_key
-#include <thrust/system/cpp/detail/scan_by_key.h>

spaces/CVPR/WALT/mmdet/utils/util_random.py DELETED Viewed

@@ -1,33 +0,0 @@
-"""Helpers for random number generators."""
-import numpy as np
-def ensure_rng(rng=None):
-    """Coerces input into a random number generator.
-    If the input is None, then a global random state is returned.
-    If the input is a numeric value, then that is used as a seed to construct a
-    random state. Otherwise the input is returned as-is.
-    Adapted from [1]_.
-    Args:
-        rng (int | numpy.random.RandomState | None):
-            if None, then defaults to the global rng. Otherwise this can be an
-            integer or a RandomState class
-    Returns:
-        (numpy.random.RandomState) : rng -
-            a numpy random number generator
-    References:
-        .. [1] https://gitlab.kitware.com/computer-vision/kwarray/blob/master/kwarray/util_random.py#L270  # noqa: E501
-    """
-    if rng is None:
-        rng = np.random.mtrand._rand
-    elif isinstance(rng, int):
-        rng = np.random.RandomState(rng)
-    else:
-        rng = rng
-    return rng

spaces/CVPR/lama-example/saicinpainting/evaluation/vis.py DELETED Viewed

@@ -1,37 +0,0 @@
-import numpy as np
-from skimage import io
-from skimage.segmentation import mark_boundaries
-def save_item_for_vis(item, out_file):
-    mask = item['mask'] > 0.5
-    if mask.ndim == 3:
-        mask = mask[0]
-    img = mark_boundaries(np.transpose(item['image'], (1, 2, 0)),
-                          mask,
-                          color=(1., 0., 0.),
-                          outline_color=(1., 1., 1.),
-                          mode='thick')
-    if 'inpainted' in item:
-        inp_img = mark_boundaries(np.transpose(item['inpainted'], (1, 2, 0)),
-                                  mask,
-                                  color=(1., 0., 0.),
-                                  mode='outer')
-        img = np.concatenate((img, inp_img), axis=1)
-    img = np.clip(img * 255, 0, 255).astype('uint8')
-    io.imsave(out_file, img)
-def save_mask_for_sidebyside(item, out_file):
-    mask = item['mask']# > 0.5
-    if mask.ndim == 3:
-        mask = mask[0]
-    mask = np.clip(mask * 255, 0, 255).astype('uint8')
-    io.imsave(out_file, mask)
-def save_img_for_sidebyside(item, out_file):
-    img = np.transpose(item['image'], (1, 2, 0))
-    img = np.clip(img * 255, 0, 255).astype('uint8')
-    io.imsave(out_file, img)

spaces/Codecooker/rvcapi/src/my_utils.py DELETED Viewed

@@ -1,21 +0,0 @@
-import ffmpeg
-import numpy as np
-def load_audio(file, sr):
-    try:
-        # https://github.com/openai/whisper/blob/main/whisper/audio.py#L26
-        # This launches a subprocess to decode audio while down-mixing and resampling as necessary.
-        # Requires the ffmpeg CLI and `ffmpeg-python` package to be installed.
-        file = (
-            file.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
-        )  # 防止小白拷路径头尾带了空格和"和回车
-        out, _ = (
-            ffmpeg.input(file, threads=0)
-            .output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr)
-            .run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True)
-        )
-    except Exception as e:
-        raise RuntimeError(f"Failed to load audio: {e}")
-    return np.frombuffer(out, np.float32).flatten()

spaces/Cong723/gpt-academic-public/README.md DELETED Viewed

@@ -1,312 +0,0 @@
----
-title: academic-chatgpt
-emoji: 😻
-colorFrom: blue
-colorTo: blue
-sdk: gradio
-sdk_version: 3.28.3
-python_version: 3.11
-app_file: main.py
-pinned: false
-duplicated_from: qingxu98/gpt-academic
----
-# ChatGPT 学术优化
-> **Note**
->
-> 安装依赖时，请严格选择requirements.txt中**指定的版本**。
->
-> `pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/`
->
-# <img src="docs/logo.png" width="40" > GPT 学术优化 (GPT Academic)
-**如果喜欢这个项目，请给它一个Star；如果你发明了更好用的快捷键或函数插件，欢迎发pull requests**
-If you like this project, please give it a Star. If you've come up with more useful academic shortcuts or functional plugins, feel free to open an issue or pull request. We also have a README in [English|](docs/README_EN.md)[日本語|](docs/README_JP.md)[한국어|](https://github.com/mldljyh/ko_gpt_academic)[Русский|](docs/README_RS.md)[Français](docs/README_FR.md) translated by this project itself.
-> **Note**
->
-> 1.请注意只有**红颜色**标识的函数插件（按钮）才支持读取文件，部分插件位于插件区的**下拉菜单**中。另外我们以**最高优先级**欢迎和处理任何新插件的PR！
->
-> 2.本项目中每个文件的功能都在自译解[`self_analysis.md`](https://github.com/binary-husky/chatgpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A)详细说明。随着版本的迭代，您也可以随时自行点击相关函数插件，调用GPT重新生成项目的自我解析报告。常见问题汇总在[`wiki`](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98)当中。
->
-> 3.本项目兼容并鼓励尝试国产大语言模型chatglm和RWKV, 盘古等等。已支持OpenAI和API2D的api-key共存，可在配置文件中填写如`API_KEY="openai-key1,openai-key2,api2d-key3"`。需要临时更换`API_KEY`时，在输入区输入临时的`API_KEY`然后回车键提交后即可生效。
-<div align="center">
-功能 | 描述
---- | ---
-一键润色 | 支持一键润色、一键查找论文语法错误
-一键中英互译 | 一键中英互译
-一键代码解释 | 显示代码、解释代码、生成代码、给代码加注释
-[自定义快捷键](https://www.bilibili.com/video/BV14s4y1E7jN) | 支持自定义快捷键
-模块化设计 | 支持自定义强大的[函数插件](https://github.com/binary-husky/chatgpt_academic/tree/master/crazy_functions)，插件支持[热更新](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
-[自我程序剖析](https://www.bilibili.com/video/BV1cj411A7VW) | [函数插件] [一键读懂](https://github.com/binary-husky/chatgpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A)本项目的源代码
-[程序剖析](https://www.bilibili.com/video/BV1cj411A7VW) | [函数插件] 一键可以剖析其他Python/C/C++/Java/Lua/...项目树
-读论文、[翻译](https://www.bilibili.com/video/BV1KT411x7Wn)论文 | [函数插件] 一键解读latex/pdf论文全文并生成摘要
-Latex全文[翻译](https://www.bilibili.com/video/BV1nk4y1Y7Js/)、[润色](https://www.bilibili.com/video/BV1FT411H7c5/) | [函数插件] 一键翻译或润色latex论文
-批量注释生成 | [函数插件] 一键批量生成函数注释
-Markdown[中英互译](https://www.bilibili.com/video/BV1yo4y157jV/) | [函数插件] 看到上面5种语言的[README](https://github.com/binary-husky/chatgpt_academic/blob/master/docs/README_EN.md)了吗？
-chat分析报告生成 | [函数插件] 运行后自动生成总结汇报
-[PDF论文全文翻译功能](https://www.bilibili.com/video/BV1KT411x7Wn) | [函数插件] PDF论文提取题目&摘要+翻译全文（多线程）
-[Arxiv小助手](https://www.bilibili.com/video/BV1LM4y1279X) | [函数插件] 输入arxiv文章url即可一键翻译摘要+下载PDF
-[谷歌学术统合小助手](https://www.bilibili.com/video/BV19L411U7ia) | [函数插件] 给定任意谷歌学术搜索页面URL，让gpt帮你[写relatedworks](https://www.bilibili.com/video/BV1GP411U7Az/)
-互联网信息聚合+GPT | [函数插件] 一键[让GPT先从互联网获取信息](https://www.bilibili.com/video/BV1om4y127ck)，再回答问题，让信息永不过时
-公式/图片/表格显示 | 可以同时显示公式的[tex形式和渲染形式](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png)，支持公式、代码高亮
-多线程函数插件支持 | 支持多线调用chatgpt，一键处理[海量文本](https://www.bilibili.com/video/BV1FT411H7c5/)或程序
-启动暗色gradio[主题](https://github.com/binary-husky/chatgpt_academic/issues/173) | 在浏览器url后面添加```/?__dark-theme=true```可以切换dark主题
-[多LLM模型](https://www.bilibili.com/video/BV1wT411p7yf)支持，[API2D](https://api2d.com/)接口支持 | 同时被GPT3.5、GPT4和[清华ChatGLM](https://github.com/THUDM/ChatGLM-6B)伺候的感觉一定会很不错吧？
-更多LLM模型接入，支持[huggingface部署](https://huggingface.co/spaces/qingxu98/gpt-academic) | 新加入Newbing测试接口(新必应AI)
-…… | ……
-</div>
-- 新界面（修改`config.py`中的LAYOUT选项即可实现“左右布局”和“上下布局”的切换）
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/230361456-61078362-a966-4eb5-b49e-3c62ef18b860.gif" width="700" >
-</div>
-- 所有按钮都通过读取functional.py动态生成，可随意加自定义功能，解放粘贴板
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/231975334-b4788e91-4887-412f-8b43-2b9c5f41d248.gif" width="700" >
-</div>
-- 润色/纠错
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/231980294-f374bdcb-3309-4560-b424-38ef39f04ebd.gif" width="700" >
-</div>
-- 如果输出包含公式，会同时以tex形式和渲染形式显示，方便复制和阅读
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png" width="700" >
-</div>
-- 懒得看项目代码？整个工程直接给chatgpt炫嘴里
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226935232-6b6a73ce-8900-4aee-93f9-733c7e6fef53.png" width="700" >
-</div>
-- 多种大语言模型混合调用（ChatGLM + OpenAI-GPT3.5 + [API2D](https://api2d.com/)-GPT4）
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/232537274-deca0563-7aa6-4b5d-94a2-b7c453c47794.png" width="700" >
-</div>
----
-## 安装-方法1：直接运行 (Windows, Linux or MacOS)
-1. 下载项目
-```sh
-git clone https://github.com/binary-husky/chatgpt_academic.git
-cd chatgpt_academic
-```
-2. 配置API_KEY
-在`config.py`中，配置API KEY等设置，[特殊网络环境设置](https://github.com/binary-husky/gpt_academic/issues/1) 。
-（P.S. 程序运行时会优先检查是否存在名为`config_private.py`的私密配置文件，并用其中的配置覆盖`config.py`的同名配置。因此，如果您能理解我们的配置读取逻辑，我们强烈建议您在`config.py`旁边创建一个名为`config_private.py`的新配置文件，并把`config.py`中的配置转移（复制）到`config_private.py`中。`config_private.py`不受git管控，可以让您的隐私信息更加安全。）
-3. 安装依赖
-```sh
-# （选择I: 如熟悉python）（python版本3.9以上，越新越好）
-python -m pip install -r requirements.txt
-# 备注：使用官方pip源或者阿里pip源，其他pip源（如一些大学的pip）有可能出问题，临时换源方法：python -m pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
-# （选择II: 如不熟悉python）使用anaconda，步骤也是类似的：
-# （II-1）conda create -n gptac_venv python=3.11
-# （II-2）conda activate gptac_venv
-# （II-3）python -m pip install -r requirements.txt
-```
-如果需要支持清华ChatGLM后端，需要额外安装更多依赖（前提条件：熟悉python + 电脑配置够强）：
-```sh
-python -m pip install -r request_llm/requirements_chatglm.txt
-# 备注：如果遇到"Call ChatGLM fail 不能正常加载ChatGLM的参数" 错误，参考如下：
-# 1：以上默认安装的为torch+cpu版，使用cuda需要卸载torch重新安装torch+cuda
-# 2：如因本机配置不够无法加载模型，可以修改request_llm/bridge_chatglm.py中的模型精度, 将 AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) 都修改为 AutoTokenizer.from_pretrained("THUDM/chatglm-6b-int4", trust_remote_code=True)
-```
-4. 运行
-```sh
-python main.py
-```
-5. 测试函数插件
-```
-- 测试函数插件模板函数（要求gpt回答历史上的今天发生了什么），您可以根据此函数为模板，实现更复杂的功能
-    点击 "[函数插件模板Demo] 历史上的今天"
-```
-## 安装-方法2：使用Docker
-1. 仅ChatGPT（推荐大多数人选择）
-``` sh
-# 下载项目
-git clone https://github.com/binary-husky/chatgpt_academic.git
-cd chatgpt_academic
-# 配置 “Proxy”， “API_KEY” 以及 “WEB_PORT” (例如50923) 等
-用任意文本编辑器编辑 config.py
-# 安装
-docker build -t gpt-academic .
-#（最后一步-选择1）在Linux环境下，用`--net=host`更方便快捷
-docker run --rm -it --net=host gpt-academic
-#（最后一步-选择2）在macOS/windows环境下，只能用-p选项将容器上的端口(例如50923)暴露给主机上的端口
-docker run --rm -it -p 50923:50923 gpt-academic
-```
-2. ChatGPT+ChatGLM（需要对Docker熟悉 + 读懂Dockerfile + 电脑配置够强）
-``` sh
-# 修改Dockerfile
-cd docs && nano Dockerfile+ChatGLM
-# 构建 （Dockerfile+ChatGLM在docs路径下，请先cd docs）
-docker build -t gpt-academic --network=host -f Dockerfile+ChatGLM .
-# 运行 (1) 直接运行:
-docker run --rm -it --net=host --gpus=all gpt-academic
-# 运行 (2) 我想运行之前进容器做一些调整:
-docker run --rm -it --net=host --gpus=all gpt-academic bash
-```
-3. ChatGPT + LLAMA + 盘古 + RWKV（需要精通Docker）
-``` sh
-1. 修改docker-compose.yml，删除方案一和方案二，保留方案三（基于jittor）
-2. 修改docker-compose.yml中方案三的配置，参考其中注释即可
-3. 终端运行 docker-compose up
-```
-## 安装-方法3：其他部署姿势
-1. 如何使用反代URL/微软云AzureAPI
-按照`config.py`中的说明配置API_URL_REDIRECT即可。
-2. 远程云服务器部署（需要云服务器知识与经验）
-请访问[部署wiki-1](https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BA%91%E6%9C%8D%E5%8A%A1%E5%99%A8%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97)
-3. 使用WSL2（Windows Subsystem for Linux 子系统）
-请访问[部署wiki-2](https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BD%BF%E7%94%A8WSL2%EF%BC%88Windows-Subsystem-for-Linux-%E5%AD%90%E7%B3%BB%E7%BB%9F%EF%BC%89%E9%83%A8%E7%BD%B2)
-4. 如何在二级网址（如`http://localhost/subpath`）下运行
-请访问[FastAPI运行说明](docs/WithFastapi.md)
-5. 使用docker-compose运行
-请阅读docker-compose.yml后，按照其中的提示操作即可
----
-## 自定义新的便捷按钮 / 自定义函数插件
-1. 自定义新的便捷按钮（学术快捷键）
-任意文本编辑器打开`core_functional.py`，添加条目如下，然后重启程序即可。（如果按钮已经添加成功并可见，那么前缀、后缀都支持热修改，无需重启程序即可生效。）
-例如
-```
-"超级英译中": {
-    # 前缀，会被加在你的输入之前。例如，用来描述你的要求，例如翻译、解释代码、润色等等
-    "Prefix": "请翻译把下面一段内容成中文，然后用一个markdown表格逐一解释文中出现的专有名词：\n\n",
-    # 后缀，会被加在你的输入之后。例如，配合前缀可以把你的输入内容用引号圈起来。
-    "Suffix": "",
-},
-```
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226899272-477c2134-ed71-4326-810c-29891fe4a508.png" width="500" >
-</div>
-2. 自定义函数插件
-编写强大的函数插件来执行任何你想得到的和想不到的任务。
-本项目的插件编写、调试难度很低，只要您具备一定的python基础知识，就可以仿照我们提供的模板实现自己的插件功能。
-详情请参考[函数插件指南](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)。
----
-## 其他功能说明
-1. 对话保存功能。在函数插件区调用 `保存当前的对话` 即可将当前对话保存为可读+可复原的html文件，
-另外在函数插件区（下拉菜单）调用 `载入对话历史存档` ，即可还原之前的会话。
-Tip：不指定文件直接点击 `载入对话历史存档` 可以查看历史html存档缓存，点击 `删除所有本地对话历史记录` 可以删除所有html存档缓存。
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/235222390-24a9acc0-680f-49f5-bc81-2f3161f1e049.png" width="500" >
-</div>
-2. 生成报告。大部分插件都会在执行结束后，生成工作报告
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/227503770-fe29ce2c-53fd-47b0-b0ff-93805f0c2ff4.png" height="300" >
-<img src="https://user-images.githubusercontent.com/96192199/227504617-7a497bb3-0a2a-4b50-9a8a-95ae60ea7afd.png" height="300" >
-<img src="https://user-images.githubusercontent.com/96192199/227504005-efeaefe0-b687-49d0-bf95-2d7b7e66c348.png" height="300" >
-</div>
-3. 模块化功能设计，简单的接口却能支持强大的功能
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/229288270-093643c1-0018-487a-81e6-1d7809b6e90f.png" height="400" >
-<img src="https://user-images.githubusercontent.com/96192199/227504931-19955f78-45cd-4d1c-adac-e71e50957915.png" height="400" >
-</div>
-4. 这是一个能够“自我译解”的开源项目
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226936850-c77d7183-0749-4c1c-9875-fd4891842d0c.png" width="500" >
-</div>
-5. 译解其他开源项目，不在话下
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226935232-6b6a73ce-8900-4aee-93f9-733c7e6fef53.png" width="500" >
-</div>
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226969067-968a27c1-1b9c-486b-8b81-ab2de8d3f88a.png" width="500" >
-</div>
-6. 装饰[live2d](https://github.com/fghrsh/live2d_demo)的小功能（默认关闭，需要修改`config.py`）
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/236432361-67739153-73e8-43fe-8111-b61296edabd9.png" width="500" >
-</div>
-## 版本:
-- version 3.5(Todo): 使用自然语言调用本项目的所有函数插件（高优先���）
-- version 3.4(Todo): 完善chatglm本地大模型的多线支持
-- version 3.3: +互联网信息综合功能
-- version 3.2: 函数插件支持更多参数接口 (保存对话功能, 解读任意语言代码+同时询问任意的LLM组合)
-- version 3.1: 支持同时问询多个gpt模型！支持api2d，支持多个apikey负载均衡
-- version 3.0: 对chatglm和其他小型llm的支持
-- version 2.6: 重构了插件结构，提高了交互性，加入更多插件
-- version 2.5: 自更新，解决总结大工程源代码时文本过长、token溢出的问题
-- version 2.4: (1)新增PDF全文翻译功能; (2)新增输入区切换位置的功能; (3)新增垂直布局选项; (4)多线程函数插件优化。
-- version 2.3: 增强多线程交互性
-- version 2.2: 函数插件支持热重载
-- version 2.1: 可折叠式布局
-- version 2.0: 引入模块化函数插件
-- version 1.0: 基础功能
-gpt_academic开发者QQ群-2：610599535
-## 参考与学习
-```
-代码中参考了很多其他优秀项目中的设计，主要包括：
-# 项目1：清华ChatGLM-6B：
-https://github.com/THUDM/ChatGLM-6B
-# 项目2：清华JittorLLMs：
-https://github.com/Jittor/JittorLLMs
-# 项目3：借鉴了ChuanhuChatGPT中诸多技巧
-https://github.com/GaiZhenbiao/ChuanhuChatGPT
-# 项目4：ChatPaper
-https://github.com/kaixindelele/ChatPaper
-# 更多：
-https://github.com/gradio-app/gradio
-https://github.com/fghrsh/live2d_demo
-```

spaces/Cropinky/hana_hanak_houses/realesrgan/__init__.py DELETED Viewed

@@ -1,6 +0,0 @@
-# flake8: noqa
-from .archs import *
-from .data import *
-from .models import *
-from .utils import *
-from .version import *

spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/gradio/templates/cdn/assets/module-a5a0afa0.js DELETED Viewed

	@@ -1,2 +0,0 @@
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2	- //# sourceMappingURL=module-a5a0afa0.js.map

spaces/DragGan/DragGan-Inversion/dnnlib/__init__.py DELETED Viewed

@@ -1,9 +0,0 @@
-# Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES.  All rights reserved.
-#
-# NVIDIA CORPORATION and its licensors retain all intellectual property
-# and proprietary rights in and to this software, related documentation
-# and any modifications thereto.  Any use, reproduction, disclosure or
-# distribution of this software and related documentation without an express
-# license agreement from NVIDIA CORPORATION is strictly prohibited.
-from .util import EasyDict, make_cache_dir_path