Update parquet files (step 69 of 476)

spaces/101-5/gpt4free/interference/app.py

@@ -1,86 +0,0 @@
-import os
-import time
-import json
-import random
-
-from g4f import Model, ChatCompletion, Provider
-from flask import Flask, request, Response
-from flask_cors import CORS
-
-app = Flask(__name__)
-CORS(app)
-
-@app.route("/chat/completions", methods=['POST'])
-def chat_completions():
-    streaming = request.json.get('stream', False)
-    model = request.json.get('model', 'gpt-3.5-turbo')
-    messages = request.json.get('messages')
-    
-    response = ChatCompletion.create(model=model, stream=streaming,
-                                     messages=messages)
-    
-    if not streaming:
-        while 'curl_cffi.requests.errors.RequestsError' in response:
-            response = ChatCompletion.create(model=model, stream=streaming,
-                                             messages=messages)
-
-        completion_timestamp = int(time.time())
-        completion_id = ''.join(random.choices(
-            'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789', k=28))
-
-        return {
-            'id': 'chatcmpl-%s' % completion_id,
-            'object': 'chat.completion',
-            'created': completion_timestamp,
-            'model': model,
-            'usage': {
-                'prompt_tokens': None,
-                'completion_tokens': None,
-                'total_tokens': None
-            },
-            'choices': [{
-                'message': {
-                    'role': 'assistant',
-                    'content': response
-                },
-                'finish_reason': 'stop',
-                'index': 0
-            }]
-        }
-
-    def stream():
-        for token in response:
-            completion_timestamp = int(time.time())
-            completion_id = ''.join(random.choices(
-                'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789', k=28))
-
-            completion_data = {
-                'id': f'chatcmpl-{completion_id}',
-                'object': 'chat.completion.chunk',
-                'created': completion_timestamp,
-                'model': 'gpt-3.5-turbo-0301',
-                'choices': [
-                    {
-                        'delta': {
-                            'content': token
-                        },
-                        'index': 0,
-                        'finish_reason': None
-                    }
-                ]
-            }
-
-            yield 'data: %s\n\n' % json.dumps(completion_data, separators=(',' ':'))
-            time.sleep(0.1)
-
-    return app.response_class(stream(), mimetype='text/event-stream')
-
-
-if __name__ == '__main__':
-    config = {
-        'host': '0.0.0.0',
-        'port': 1337,
-        'debug': True
-    }
-
-    app.run(**config)

spaces/1line/AutoGPT/autogpt/json_utils/utilities.py

@@ -1,54 +0,0 @@
-"""Utilities for the json_fixes package."""
-import json
-import re
-
-from jsonschema import Draft7Validator
-
-from autogpt.config import Config
-from autogpt.logs import logger
-
-CFG = Config()
-
-
-def extract_char_position(error_message: str) -> int:
-    """Extract the character position from the JSONDecodeError message.
-
-    Args:
-        error_message (str): The error message from the JSONDecodeError
-          exception.
-
-    Returns:
-        int: The character position.
-    """
-
-    char_pattern = re.compile(r"\(char (\d+)\)")
-    if match := char_pattern.search(error_message):
-        return int(match[1])
-    else:
-        raise ValueError("Character position not found in the error message.")
-
-
-def validate_json(json_object: object, schema_name: object) -> object:
-    """
-    :type schema_name: object
-    :param schema_name:
-    :type json_object: object
-    """
-    with open(f"autogpt/json_utils/{schema_name}.json", "r") as f:
-        schema = json.load(f)
-    validator = Draft7Validator(schema)
-
-    if errors := sorted(validator.iter_errors(json_object), key=lambda e: e.path):
-        logger.error("The JSON object is invalid.")
-        if CFG.debug_mode:
-            logger.error(
-                json.dumps(json_object, indent=4)
-            )  # Replace 'json_object' with the variable containing the JSON data
-            logger.error("The following issues were found:")
-
-            for error in errors:
-                logger.error(f"Error: {error.message}")
-    elif CFG.debug_mode:
-        print("The JSON object is valid.")
-
-    return json_object

spaces/1pelhydcardo/ChatGPT-prompt-generator/assets/Customize your lock screen with HUAWEI magazine unlock APK - Free Download for Android.md

@@ -1,17 +0,0 @@
-
-<h1>What is Huawei Magazine Unlock and How to Use It</h1>
- If you own a Huawei smartphone, you may have noticed a feature called Magazine Unlock that changes your lock screen wallpaper every time you unlock your device. This feature allows you to enjoy different images with quotes that match your mood, style, and preferences. But what exactly is Huawei Magazine Unlock and how can you use it? In this article, we will explain everything you need to know about this feature, including how to download and install it, how to customize it, how to disable or uninstall it, and what are its benefits and drawbacks. <h2>How to Download and Install Huawei Magazine Unlock APK</h2>
- Huawei Magazine Unlock is a pre-installed feature on most Huawei devices running EMUI 10.1 or later. However, if you don't have it on your device or you want to update it to the latest version, you can download and install the APK file from a trusted source. Here are the steps to follow: 1. Go to [APKCombo](^1^) or [Magazine Unlock](^2^) and search for "Huawei Magazine Unlock APK". 2. Choose the latest version of the app and download it to your device. 3. Open the downloaded file and tap on "Install". You may need to enable "Unknown sources" in your settings if prompted. 4. Wait for the installation to complete and then launch the app. <h2>How to Customize Huawei Magazine Unlock Settings</h2>
- Once you have installed Huawei Magazine Unlock, you can customize its settings according to your preferences. Here are some of the things you can do: <h3>How to Change Wallpaper Categories</h3>
- By default, Huawei Magazine Unlock will show you wallpapers from various categories, such as nature, art, travel, etc. However, you can choose which categories you want to see on your lock screen by following these steps: 1. Open the app and tap on "Settings". 2. Tap on "Wallpaper categories". 3. Select or deselect the categories you want or don't want. 4. Tap on "Done". <h3>How to Add Your Own Photos</h3>
- If you want to add your own photos to the wallpaper rotation, you can do so by following these steps: 1. Open the app and tap on "Settings". 2. Tap on "Add photos". 3. Choose the photos you want from your gallery or camera. 4. Tap on "Done". <h3>How to Adjust Wallpaper Display Time</h3>
- You can also change how often your lock screen wallpaper changes by following these steps: 1. Open the app and tap on "Settings". 2. Tap on "Wallpaper display time". 3. Choose from 15 minutes, 30 minutes, 1 hour, 4 hours, or 12 hours. 4. Tap on "Done". <h2>How to Disable or Uninstall Huawei Magazine Unlock</h2>
- If you don't like Huawei Magazine Unlock or you want to save battery or data, you can disable or uninstall it by following these steps: To disable it: 1. Open the app and tap on "Settings". 2. Tap on "Magazine unlock switch". 3. Turn off the switch to disable the feature. To uninstall it: 1. Go to your device settings and tap on "Apps". 2. Find and tap on "Magazine Unlock". 3. Tap on "Uninstall" and confirm your action. <h2>Benefits and Drawbacks of Huawei Magazine Unlock</h2>
- Huawei Magazine Unlock is a fun and useful feature that can make your lock screen more attractive and personalized. However, it also has some drawbacks that you should be aware of. Here are some of the pros and cons of using this feature: <h3>Benefits</h3>
- - You can enjoy a variety of wallpapers that suit your mood, style, and preferences. - You can get inspired by the quotes and messages that accompany the wallpapers. - You can customize the wallpaper categories and add your own photos to the rotation. - You can adjust the wallpaper display time to your liking. <h3>Drawbacks</h3>
- - It can consume more battery and data than a static wallpaper. - It can pose a security risk if someone sees your personal photos or sensitive information on your lock screen. - It can be distracting or annoying if you don't like the wallpapers or quotes that are shown. <h2>Conclusion</h2>
- Huawei Magazine Unlock is a feature that allows you to change your lock screen wallpaper every time you unlock your device. It can be a great way to spice up your lock screen and enjoy different images with quotes. However, it also has some drawbacks that you should consider before using it. If you want to try Huawei Magazine Unlock, you can download and install the APK file from a trusted source and customize its settings according to your preferences. If you don't like it or want to save battery or data, you can disable or uninstall it easily. We hope this article has helped you understand what Huawei Magazine Unlock is and how to use it. If you have any questions or feedback, please let us know in the comments below. <h4>FAQs</h4>
- Q: Is Huawei Magazine Unlock safe to use? A: Huawei Magazine Unlock is generally safe to use as long as you download and install it from a trusted source. However, you should be careful about what photos or information you display on your lock screen, as they may be seen by others. Q: How do I update Huawei Magazine Unlock? A: You can update Huawei Magazine Unlock by downloading and installing the latest version of the APK file from a trusted source. Alternatively, you can check for updates in the app settings. Q: How do I delete a photo from Huawei Magazine Unlock? A: You can delete a photo from Huawei Magazine Unlock by following these steps: 1. Open the app and tap on "Settings". 2. Tap on "Add photos". 3. Tap and hold on the photo you want to delete. 4. Tap on "Delete" and confirm your action. Q: How do I share a wallpaper from Huawei Magazine Unlock? A: You can share a wallpaper from Huawei Magazine Unlock by following these steps: 1. Open the app and tap on "Wallpapers". 2. Swipe left or right to find the wallpaper you want to share. 3. Tap on the share icon at the bottom right corner. 4. Choose the app or contact you want to share with. Q: How do I contact Huawei support for Magazine Unlock issues? A: You can contact Huawei support for Magazine Unlock issues by following these steps: 1. Open the app and tap on "Settings". 2. Tap on "Feedback". 3. Fill in the form with your issue details and contact information. 4. Tap on "Submit".</p>
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spaces/1phancelerku/anime-remove-background/BlackMod Apk A Safe and Secure Way to Access Premium Mods for Free.md

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spaces/1phancelerku/anime-remove-background/Crafting and Building APK The Ultimate Sandbox Game for Android.md

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-<h1>Crafting and Building APK Malavida: A Fun and Creative Game for Android Users</h1>
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-<ul>
-<li>Use the creative mode to experiment with different blocks and items and test your ideas before building them in survival mode.</li>
-<li>Use the multiplayer mode to play with your friends or join servers with other players. You can cooperate or compete with them in various activities and challenges.</li>
-<li>Use the chat system to communicate with other players and make new friends. You can also use voice messages to talk with them in real time.</li>
-<li>Use the quest system to complete tasks and earn rewards. You can also create your own quests and share them with other players.</li>
-<li>Use the customization option to personalize your character and make it stand out from the crowd. You can also change your character's name and appearance anytime you want.</li>
-</ul>
- <h2>What are the Benefits of Playing Crafting and Building APK Malavida?</h2>
-<h3>The advantages of playing a sandbox game with unlimited possibilities</h3>
-<p>Crafting and Building APK Malavida is a game that offers a lot of advantages for its players. Some of them are:</p>
-<ul>
-<li>It stimulates your creativity and imagination by allowing you to create anything you want.</li>
-<li>It improves your problem-solving and critical thinking skills by challenging you to find solutions and overcome obstacles.</li>
-<li>It enhances your spatial awareness and hand-eye coordination by requiring you to manipulate blocks and items in a 3D environment.</li>
-<li>It develops your artistic and aesthetic sense by encouraging you to design and decorate your buildings.</li>
-<li>It fosters your curiosity and exploration spirit by inviting you to discover new places and things.</li>
-</ul>
- <h3>The benefits of playing a game that supports multiplayer mode and online community</h3>
-<p>Crafting and Building APK Malavida is also a game that supports multiplayer mode and online community. This means that you can play with other people online and interact with them in various ways. Some of the benefits of this are:</p>
-<ul>
-<li>It increases your social skills and communication skills by enabling you to chat and talk with other players.</li>
-<li>It expands your network and friendship circle by introducing you to people from different countries and cultures.</li>
-<li>It enriches your gameplay experience by adding diversity and variety to your activities and challenges.</li>
-<li>It motivates you to improve your skills and performance by competing or cooperating with other players.</li>
-<li>It provides you with support and feedback by allowing you to share your creations and opinions with other players.</li>
-</ul>
- <h2>What are the Alternatives to Crafting and Building APK Malavida?</h2>
-<h3>Some other games that are similar to Crafting and Building in genre and style</h3>
-<p>If you enjoy playing Crafting and Building APK Malavida, you might also like some other games that are similar to it in genre and style. Here are some of them:</p>
-<table>
-<tr>
-<th>Game</th>
-<th>Description</th>
-</tr>
-<tr>
-<td><a href="">Minecraft</a></td>
-<td>The original sandbox game that inspired Crafting and Building and many others. It has more features, modes, and content than Crafting and Building, but it also requires a paid license to play.</td>
-</tr>
-<tr>
-<td><a href="">Roblox</a></td>
-<td>A game platform that allows you to create and play various games made by other users. It has a similar blocky style as Crafting and Building, but it also offers more genres, such as action, adventure, role-playing, simulation, and more.</td>
-</tr>
-<tr>
-<td><a href="">Terraria</a></td>
-<td>A game that combines sandbox, exploration, and combat elements in a 2D pixelated world. It has a similar crafting and building system as Crafting and Building, but it also has more items, enemies, bosses, biomes, and events.</td>
-</tr>
-<tr>
-<td><a href="">Block Craft 3D</a></td>
-<td>A game that focuses on building and designing structures in a 3D world. It has a similar creative mode as Crafting and Building, but it also has more templates, models, and tools to use.</td>
-</tr>
-<tr>
-<td><a href="">Survivalcraft 2</a></td>
-<td>A game that emphasizes survival and realism in a sandbox world. It has a similar survival mode as Crafting and Building, but it also has more mechanics, such as electricity, farming, animals, weather, and more.</td>
-</tr>
-</table>
- <h3>How to choose the best game for your preferences and needs</h3>
-<p>To choose the best game for your preferences and needs, you need to consider some factors, such as:</p>
-<ul>
-<li>Your budget: Some games are free to play, while others require a one-time or recurring payment. You need to decide how much you are willing to spend on a game.</li>
-<li>Your device: Some games are compatible with different devices, such as smartphones, tablets, computers, consoles, etc. You need to check the requirements and specifications of the game before downloading or installing it.</li>
-<li>Your interests: Some games offer different themes, genres, styles, and features that appeal to different tastes and preferences. You need to find a game that matches your interests and expectations.</li>
-<li>Your goals: Some games have different objectives, challenges, rewards, and outcomes that motivate different players. You need to find a game that suits your goals and aspirations.</li>
-<li>Your friends: Some games have different modes, options, and platforms that support multiplayer and online interactions. You need to find a game that allows you to play with your friends or meet new people online.</li>
-</ul>
- <h2>Conclusion</h2>
-<h3>A summary of the main points of the article</h3>
-<p>In conclusion, Crafting and Building APK Malavida is a fun and creative game for Android users who love sandbox games. It allows you to build anything you want in an open world with different blocks and materials. It also lets you explore the world, collect resources, craft items, fight enemies, tame animals, and interact with other players online. The game has many features, such as creative mode, survival mode, multiplayer mode, customization option, chat system, map system, quest system, and more. The game also offers many benefits for its players, such as stimulating their creativity, improving their skills, enhancing their gameplay experience, expanding their network, and providing them with support and feedback. The game can be downloaded and installed from Malavida, a website that provides safe and reliable downloads for Android apps and games. The game can also be played in different modes, such as creative or survival, and with different tips and tricks to make it more enjoyable. The game is also similar to some other games that are available in the market, such as Minecraft, Roblox, Terraria, Block Craft 3D, and Survivalcraft 2. However, the game also has some unique features and advantages that make it stand out from the crowd. Therefore, if you are looking for a game that lets you unleash your imagination and create your own world, then you might want to try out Crafting and Building APK Malavida.</p>
- <h3>A call to action for the readers to try out the game</h3>
-<p>So, what are you waiting for? Download Crafting and Building APK Malavida today and start building your dream world. You can also invite your friends to join you online and share your creations with them. You can also join servers with other players from around the world and discover new places and things. You can also complete quests and earn rewards. You can also customize your character and make it look awesome. You can also chat and talk with other players and make new friends. You can also have fun and adventure in a sandbox world with unlimited possibilities. Crafting and Building APK Malavida is a game that has something for everyone. Whether you are a beginner or an expert, a casual or a hardcore gamer, a solo or a social player, you will find something that suits your taste and needs in this game. So, don't miss this opportunity and download Crafting and Building APK Malavida now!</p>
- <h2>FAQs</h2>
-<h3>What is Crafting and Building APK Malavida?</h3>
-<p>Crafting and Building APK Malavida is a creative construction and adventure game for Android devices that is fully inspired by Minecraft.</p>
- <h3>How to download and install Crafting and Building APK Malavida?</h3>
-<p>You can download and install Crafting and Building APK Malavida from Malavida website by following these steps:</p>
-<ol>
-<li>Go to Malavida website on your browser.</li>
-<li>Search for Crafting and Building in the search bar or browse through the categories.</li>
-<li>Click on the download button on the game's page.</li>
-<li>Wait for the download to finish. You might need to enable unknown sources on your device settings to allow the installation of apps from outside sources.</li>
-<li>Open the downloaded file and follow the instructions to install the game on your device.</li>
-<li>Launch the game and enjoy!</li>
-</ol>
- <h3>How to play Crafting and Building APK Malavida?</h3>
-<p>You can play Crafting and Building APK Malavida by choosing the mode you want to play: creative or survival. In creative mode, you have unlimited resources and can build anything you want without any restrictions. In survival mode, you have to gather resources, craft items, and survive the challenges of the world. You can also switch between the modes anytime you want. To craft items, you need to open your inventory and select the crafting tab. There, you can see the recipes for different items, such as tools, weapons, armor, furniture, decorations, and more. You can also use a crafting table to access more advanced recipes. To craft an item, you need to drag the required materials to the crafting grid and then drag the output item to your inventory. To build structures, you need to select a block from your inventory and place it on the ground or on another block. You can also break blocks by tapping on them with your finger or with a tool. You can use different blocks and materials to create different styles and designs for your buildings. You can also use doors, windows, ladders, stairs, torches, and other items to add functionality and detail to your structures. To explore the world, you need to move around using the virtual joystick on the left side of the screen. You can also jump, fly, swim, and sneak using the buttons on the right side of the screen. You can use the map to see your location and the surrounding areas. You can also use a compass to find your way back to your spawn point. You can discover different biomes, such as forests, deserts, mountains, oceans, and more. You can also find villages, dungeons, temples, mineshafts, and other structures that contain loot and secrets.</p>
- <h3>What are some tips and tricks to enhance your gameplay experience?</h3>
-<p>Here are some tips and tricks that can help you enjoy Crafting and Building APK Malavida more:</p>
-<ul>
-<li>Use the creative mode to experiment with different blocks and items and test your ideas before building them in survival mode.</li>
-<li>Use the multiplayer mode to play with your friends or join servers with other players. You can cooperate or compete with them in various activities and challenges.</li>
-<li>Use the chat system to communicate with other players and make new friends. You can also use voice messages to talk with them in real time.</li>
-<li>Use the quest system to complete tasks and earn rewards. You can also create your own quests and share them with other players.</li>
-<li>Use the customization option to personalize your character and make it stand out from the crowd. You can also change your character's name and appearance anytime you want.</li>
-</ul>
- <h2>What are some alternatives to Crafting and Building APK Malavida?</h2>
-<h3>Some other games that are similar to Crafting and Building in genre and style</h3>
-<p>If you enjoy playing Crafting and Building APK Malavida, you might also like some other games that are similar to it in genre and style. Here are some of them:</p>
-<table>
-<tr>
-<th>Game</th>
-<th>Description</th>
-</tr>
-<tr>
-<td><a href="">Minecraft</a></td>
-<td>The original sandbox game that inspired Crafting and Building and many others. It has more features, modes, and content than Crafting and Building, but it also requires a paid license to play.</td>
-</tr>
-<tr>
-<td><a href="">Roblox</a></td>
-<td>A game platform that allows you to create and play various games made by other users. It has a similar blocky style as Crafting and Building, but it also offers more genres, such as action, adventure, role-playing, simulation, and more.</td>
-</tr>
-<tr>
-<td><a href="">Terraria</a></td>
-<td>A game that combines sandbox, exploration, and combat elements in a 2D pixelated world. It has a similar crafting and building system as Crafting and Building, but it also has more items, enemies, bosses, biomes, and events.</td>
-</tr>
-<tr>
-<td><a href="">Block Craft 3D</a></td>
-<td>A game that focuses on building and designing structures in a 3D world. It has a similar creative mode as Crafting and Building, but it also has more templates, models, and tools to use.</td>
-</tr>
-<tr>
-<td><a href="">Survivalcraft 2</a></td>
-<td>A game that emphasizes survival and realism in a sandbox world. It has a similar survival mode as Crafting and Building, but it also has more mechanics, such as electricity, farming, animals, weather, and more.</td>
-</tr>
-</table>
- <h3>How to choose the best game for your preferences and needs</h3>
-<p>To choose the best game for your preferences and needs, you need to consider some factors, such as:</p>
-<ul>
-<li>Your budget: Some games are free to play, while others require a one-time or recurring payment. You need to decide how much you are willing to spend on a game.</li>
-<li>Your device: Some games are compatible with different devices, such as smartphones, tablets, computers, consoles, etc. You need to check the requirements and specifications of the game before downloading or installing it.</li>
-<li>Your interests: Some games offer different themes, genres, styles, and features that appeal to different tastes and preferences. You need to find a game that matches your interests and expectations.</li>
-<li>Your goals: Some games have different objectives, challenges, rewards, and outcomes that motivate different players. You need to find a game that suits your goals and aspirations.</li>
-<li>Your friends: Some games have different modes, options, and platforms that support multiplayer and online interactions. You need to find a game that allows you to play with your friends or meet new people online.</li>
-</ul>
- <p>I hope this article has helped you learn more about Crafting and Building APK Malavida and why you should try it out. If you have any questions or feedback, please feel free to leave a comment below. Thank you for reading and happy gaming!</p> 401be4b1e0<br />
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spaces/1phancelerku/anime-remove-background/Dolphin Emulator APK 4.0 Play Wii and GameCube Games on Android.md

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-<h1>Dolphin Emulator APK 4.0: How to Play Wii and GameCube Games on Android</h1>
- <p>Do you miss playing your favorite Wii and GameCube games on your Android device? If so, you might want to try Dolphin Emulator APK 4.0, a powerful and versatile app that lets you enjoy classic Nintendo titles on your smartphone or tablet. In this article, we will show you what Dolphin Emulator is, how to download and install it, how to configure and use it, and what are its pros and cons. We will also answer some frequently asked questions about this amazing app.</p>
- <h2>What is Dolphin Emulator?</h2>
- <p>Dolphin Emulator is an open-source software that emulates the hardware and software of the Nintendo Wii and GameCube consoles on various platforms, including Windows, Linux, macOS, and Android. It was first released in 2003 as a GameCube emulator, but later added support for Wii games in 2008. Since then, it has become one of the most popular and reliable emulators for Nintendo fans.</p>
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- <h3>Features and benefits of Dolphin Emulator</h3>
- <p>Some of the features and benefits of Dolphin Emulator are:</p>
-<ul>
-<li>It supports a wide range of Wii and GameCube games, with high compatibility and accuracy.</li>
-<li>It allows you to play games in HD resolution, with enhanced graphics, sound, and controls.</li>
-<li>It offers many customization options, such as changing the aspect ratio, enabling cheats, adjusting the frame rate, and more.</li>
-<li>It supports various input methods, such as touch screen, keyboard, mouse, gamepad, motion sensors, and Bluetooth controllers.</li>
-<li>It has a user-friendly interface, with easy navigation, game library management, and online updates.</li>
-</ul>
- <h3>Requirements and compatibility of Dolphin Emulator</h3>
- <p>To run Dolphin Emulator APK 4.0 on your Android device, you need to meet the following requirements:</p>
-<ul>
-<li>Your device must have Android 5.0 or higher.</li>
-<li>Your device must have a 64-bit processor (ARMv8 or x86_64) with OpenGL ES 3 or higher.</li>
-<li>Your device must have at least 2 GB of RAM.</li>
-<li>Your device must have enough storage space to store the APK file (about 15 MB) and the game files (varies depending on the game).</li>
-</ul>
-<p>Note that these are the minimum requirements for running the app. Some games may require higher specifications or additional settings to run smoothly. You can check the compatibility list on the official website to see how well each game works on Dolphin Emulator.</p>
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- <h2>How to download and install Dolphin Emulator APK 4.0</h2>
- <p>If you want to try Dolphin Emulator APK 4.0 on your Android device, you need to follow these steps:</p>
- <h3>Download the APK file from the official website</h3>
- <p>The first step is to download the APK file from the official website of Dolphin Emulator. You can find the latest version (5.0-19700) here. Alternatively, you can scan this QR code with your device's camera to access the download page:</p>
- <img src="https://dolphin-emu.org/images/android_qr.png" alt="QR code for downloading Dolphin Emulator APK">
- <p>Once you are on the download page, tap on the "Download" button and wait for the file to be downloaded to your device. The file size is about 15 MB, so it should not take long to finish.</p>
- <h3>Enable unknown sources on your Android device</h3>
- <p>The next step is to enable unknown sources on your Android device. This is necessary because Dolphin Emulator APK 4.0 is not available on the Google Play Store, and you need to allow your device to install apps from other sources. To do this, go to your device's settings, tap on security or privacy, and look for the option to enable unknown sources or install unknown apps. Depending on your device model and Android version, the steps may vary slightly, but you should be able to find it easily. Once you enable it, you can proceed to the next step.</p>
- <h3>Install the APK file and launch the app</h3>
- <p>The final step is to install the APK file and launch the app. To do this, locate the downloaded file on your device's file manager or downloads folder, and tap on it. You may see a warning message asking you to confirm the installation. Tap on install and wait for the process to complete. Once it is done, you can launch the app by tapping on its icon on your home screen or app drawer. You should see the Dolphin Emulator logo and a welcome message on the screen.</p>
- <h2>How to configure and use Dolphin Emulator APK 4.0</h2>
- <p>Now that you have installed Dolphin Emulator APK 4.0 on your Android device, you can start configuring and using it to play Wii and GameCube games. Here are some tips and tricks to help you get started:</p>
- <h3>Choose the best settings for your device</h3>
- <p>One of the first things you should do is to choose the best settings for your device. Dolphin Emulator APK 4.0 has many options that can affect the performance, quality, and compatibility of the games. To access them, tap on the menu button (three horizontal lines) on the top left corner of the screen, and then tap on settings. You will see several categories of settings, such as general, graphics, audio, controls, and more. You can explore them and tweak them according to your preferences and needs. However, if you are not sure what each option does, or if you want to use the recommended settings for most games, you can simply tap on the reset button (circular arrow) on the top right corner of the screen, and then tap on yes. This will restore the default settings that work well for most devices and games.</p>
- <h3>Add and manage your games</h3>
- <p>The next thing you should do is to add and manage your games. Dolphin Emulator APK 4.0 does not come with any games pre-installed, so you need to provide your own game files (ISOs or WBFSs) from your Wii or GameCube discs or from other sources. To add a game, tap on the plus button (plus sign) on the bottom right corner of the screen, and then navigate to the folder where you stored your game files. Select the game file you want to add, and tap on open. The game will be added to your game library, and you will see its cover art and title on the screen. You can repeat this process for as many games as you want.</p>
- <p>To manage your games, you can long-press on any game in your game library, and then choose from various options, such as play, properties, wiki, remove, or compress. You can also sort your games by name, platform, size, or rating by tapping on the sort button (three vertical lines) on the top right corner of the screen.</p>
- <h3>Start playing and enjoy the experience</h3>
- <p>The last thing you should do is to start playing and enjoy the experience. To play a game, simply tap on its cover art in your game library, and then tap on play. The game will load and run on Dolphin Emulator APK 4.0, and you will see a virtual controller overlay on the screen. You can use it to control the game as if you were using a Wii remote or a GameCube controller. You can also customize the controller layout by tapping on the edit button (pencil icon) on the top right corner of the screen.</p>
- <p>To access more options while playing a game, you can swipe from left to right on the screen to open a side menu that lets you save or load states, take screenshots, adjust settings, or exit the game.</p>
- <h2>Pros and cons of Dolphin Emulator APK 4.0</h2>
- <p>Dolphin Emulator APK 4.0 is an amazing app that lets you play Wii and GameCube games on your Android device. However, like any other app, it has its pros and cons that you should be aware of before using it. Here are some of the pros and cons of Dolphin Emulator APK 4.0:</p>
- <h3>Pros: High compatibility, performance, and customization</h3>
- <p>One of the main advantages of Dolphin Emulator APK 4.0 is that it has a high compatibility rate with Wii and GameCube games, meaning that most of the games you want to play will work well on the app. Moreover, the app has a high performance level, allowing you to play games in HD resolution, with smooth frame rates, and without lag or glitches. Furthermore, the app has a high customization level, giving you the freedom to adjust the settings, controls, and appearance of the games according to your preferences and needs.</p>
- <h3>Cons: Potential bugs, crashes, and battery drain</h3>
- <p>One of the main disadvantages of Dolphin Emulator APK 4.0 is that it may have some bugs or crashes that can affect your gaming experience. For example, some games may not load properly, have graphical errors, or freeze during gameplay. Additionally, the app may cause your device to overheat or drain your battery faster than usual, especially if you play for long periods or use high settings. Therefore, you should always backup your data, monitor your device's temperature and battery level, and use the app with caution.</p>
- <h2>Conclusion and FAQs</h2>
- <p>Dolphin Emulator APK 4.0 is a great app that lets you play Wii and GameCube games on your Android device. It has many features and benefits that make it a must-have for Nintendo fans. However, it also has some drawbacks that you should consider before using it. In this article, we have shown you what Dolphin Emulator is, how to download and install it, how to configure and use it, and what are its pros and cons. We hope you have found this article helpful and informative. If you have any questions or comments about Dolphin Emulator APK 4.0, feel free to leave them below.</p>
- <p>Here are some frequently asked questions about Dolphin Emulator APK 4.0:</p>
- <h4>Q: Is Dolphin Emulator APK 4.0 legal?</h4>
-<p>A: Dolphin Emulator APK 4.0 is legal as long as you use it for personal and non-commercial purposes, and as long as you own the original Wii or GameCube discs or have obtained the game files legally from other sources. However, downloading or distributing pirated or copyrighted game files is illegal and may result in legal consequences.</p>
- <h4>Q: Is Dolphin Emulator APK 4.0 safe?</h4>
-<p>A: Dolphin Emulator APK 4.0 is safe as long as you download it from the official website or a trusted source. However, you should always scan the APK file with an antivirus software before installing it on your device, and avoid downloading any suspicious or malicious files from unknown sources.</p>
- <h4>Q: How can I update Dolphin Emulator APK 4.0?</h4>
-<p>A: You can update Dolphin Emulator APK 4.0 by visiting the official website or by using the built-in updater in the app. To use the updater, tap on the menu button on the top left corner of the screen, tap on settings, tap on general, and then tap on check for updates. The app will automatically download and install the latest version if available.</p>
- <h4>Q: How can I get more games for Dolphin Emulator APK 4.0?</h4>
-<p>A: You can get more games for Dolphin Emulator APK 4.0 by ripping your own Wii or GameCube discs using a PC or a Wii console, or by downloading them from other sources such as ROM websites or torrents. However, you should always make sure that you own the original discs or have obtained the game files legally from other sources.</p>
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-<h1>My Talking Angela 2 Unlimited Money Mod APK: How to Download and Play</h1>
- <p>If you love virtual pet games, you might have heard of My Talking Angela 2, the sequel to the popular My Talking Angela game. In this game, you can adopt a cute kitty named Angela and help her live a stylish and fun life in her big-city home. You can play mini-games, dress her up, do her hair and makeup, decorate her apartment, travel with her, and more.</p>
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- <p>But what if you want to enjoy all these features without worrying about running out of money? Well, there's a solution for that. You can download and install My Talking Angela 2 Unlimited Money Mod APK, which is a modified version of the game that gives you unlimited coins and diamonds to spend on anything you want. In this article, we'll show you how to download and play My Talking Angela 2 Unlimited Money Mod APK, as well as some tips and tricks to make the most out of it.</p>
- <h2>What is My Talking Angela 2?</h2>
- <p>My Talking Angela 2 is a virtual pet game created by Outfit7, the same studio behind other hit games like My Talking Tom 2 and My Talking Tom Friends. It was released in July 2021 for Android and iOS devices. The game follows Angela, a fashionable white-coated kitty who likes to explore her city and the world. You can interact with her by tapping, swiping, or talking to her. You can also customize her appearance, personality, and hobbies.</p>
- <h3>Features of My Talking Angela 2</h3>
- <p>Some of the features of My Talking Angela 2 are:</p>
- <ul>
-<li>Awesome hair, makeup, and fashion choices. You can change Angela's hairstyle, color, accessories, clothes, shoes, and more. You can also apply different makeup products like lipstick, eyeshadow, blush, etc.</li>
-<li>Epic activities, like dancing, baking, and martial arts. You can help Angela learn new skills and hobbies by playing mini-games. You can also watch her perform on stage or in the kitchen.</li>
-<li>Delicious food and snacks. You can feed Angela different kinds of food items like cereal, pizza, smoothies, etc. You can also make your own smoothies by mixing two ingredients in the blender.</li>
-<li>Jet-setting travel options. You can travel with Angela to different destinations like Paris, Tokyo, New York, etc. You can also collect stickers from each place and decorate your travel album.</li>
-<li>Mini-games and puzzles test skills and reflexes. You can play various mini-games like dancing rhythm games, baking games, martial arts games, etc. You can also solve puzzles like jigsaw puzzles or memory games.</li>
-<li>All-new sticker collections. You can collect stickers from different categories like fashion, food, travel, etc. You can also trade stickers with other players online.</li>
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-<li>You can have more fun and creativity with the game. You can experiment with different combinations of outfits, makeup, hairstyles, etc. You can also try different activities and mini-games without any limitations.</li>
-</ul>
- <h2>How to Download and Install My Talking Angela 2 Unlimited Money Mod APK</h2>
- <p>If you want to download and install My Talking Angela 2 Unlimited Money Mod APK, you need to follow these steps:</p>
- <h3>Step 1: Enable Unknown Sources</h3>
- <p>Before you can install any APK file on your Android device, you need to enable unknown sources in your settings. This will allow you to install apps from sources other than the Google Play Store. To do this, go to Settings > Security > Unknown Sources and toggle it on.</p>
- <h3>Step 2: Download the APK File</h3>
- <p>Next, you need to download the APK file of My Talking Angela 2 Unlimited Money Mod APK from a reliable source. You can search for it online or use the link below:</p>
- <p><a href="">My Talking Angela 2 Unlimited Money Mod APK Download</a></p>
- <p>Make sure you download the latest version of the mod APK and save it in a folder that you can easily access.</p>
- <h3>Step 3: Install the APK File</h3>
- <p>After you have downloaded the APK file, you need to install it on your device. To do this, locate the file in your folder and tap on it. You will see a pop-up window asking you to confirm the installation. Tap on Install and wait for the process to finish.</p>
- <h3>Step 4: Launch the Game and Enjoy</h3>
- <p>Once the installation is done, you can launch the game by tapping on its icon on your home screen or app drawer. You will see a welcome screen with Angela's face and some instructions. Tap on Start and enjoy playing My Talking Angela 2 Unlimited Money Mod APK.</p>
- <h2>Tips and Tricks for Playing My Talking Angela 2</h2>
- <p>To make the most out of My Talking Angela 2 Unlimited Money Mod APK, here are some tips and tricks that you can use:</p>
- <h3>Play Mini-Games to Earn Coins and Rewards</h3>
- <p>One of the best ways to earn coins and rewards in My Talking Angela 2 is to play mini-games. There are many mini-games that you can choose from, such as dancing, baking, martial arts, etc. Each mini-game has different levels of difficulty and rewards. The higher the level, the more coins and rewards you can get. You can also get bonus coins by watching ads or completing daily tasks.</p>
- <h3>Style Angela's Apartment and Outfits</h3>
- <p>Another way to have fun with My Talking Angela 2 is to style Angela's apartment and outfits. You can use your unlimited money mod APK to buy all kinds of items for her home and wardrobe. You can change her furniture, wallpaper, floor, curtains, etc. You can also change her clothes, shoes, accessories, hair, makeup, etc. You can mix and match different items to create your own unique style for Angela.</p>
- <h3>Feed Angela and Take Care of Her Health</h3>
- <p>Don't forget to feed Angela and take care of her health in My Talking Angela 2. She needs food and water to stay happy and healthy. You can feed her different kinds of food items like cereal, pizza, smoothies, etc. You can also make your own smoothies by mixing two ingredients in the blender. You can also give her water by tapping on the water bottle icon.</p>
- <p>Besides food and water, Angela also needs sleep and hygiene. You can put her to bed by tapping on the bed icon. You can also clean her by tapping on the shower icon or brushing her teeth by tapping on the toothbrush icon.</p>
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spaces/1phancelerku/anime-remove-background/Download Space Kill Among Us APK and Join the Fun of Space Murder Mystery.md

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-<h1>Space Kill Among Us APK: A New Twist on the Popular Party Game</h1>
-<p>If you are a fan of <strong>Among Us</strong>, the online and local party game of teamwork and betrayal for 4-15 players, you might be interested in trying out a new mod that adds some web3 social and play-to-earn features to the game. This mod is called <strong>Space Kill Among Us APK</strong>, and it is a fan-made project that aims to connect the public to web 3.0 through gaming. In this article, we will tell you everything you need to know about Space Kill Among Us APK, including what it is, how to play it, how to download and install it, and why you should give it a shot.</p>
- <h2>What is Space Kill Among Us APK?</h2>
-<p>Space Kill Among Us APK is a modded version of Among Us, a popular party game developed by Innersloth. Innersloth describes Among Us as "an online and local party game of teamwork and betrayal for 4-15 players...in space!" In this game, you can play as either a crewmate or an impostor on a spaceship. As a crewmate, your goal is to complete tasks to prepare the ship for departure or discover and vote out the impostor. As an impostor, your goal is to kill crewmates and sabotage the ship without getting caught.</p>
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- <h3>A fan-made mod of Among Us</h3>
-<p>Space Kill Among Us APK is not an official product of Innersloth, but a fan-made mod created by SPACEKILL, a game developer metaverse. SPACEKILL describes itself as "a party game with inbuilt game-fi and social-fi elements. We aim to connect the public to web 3.0." SPACEKILL claims that its mod is compatible with the original Among Us game, and that it does not violate any intellectual property rights of Innersloth.</p>
- <h3>A game of teamwork and betrayal in space</h3>
-<p>The basic gameplay of Space Kill Among Us APK is similar to that of Among Us. You can play online or over local WiFi with 4-15 players as you attempt to prep your spaceship for departure, but beware as one or more players will be impostors bent on killing everyone. You can choose from different roles, objectives, modes, and maps to customize your gaming experience.</p>
- <h3>A game with web3 social and play-to-earn features</h3>
-<p>What sets Space Kill Among Us APK apart from Among Us is that it adds some web3 social and play-to-earn features to the game. Web3 refers to the decentralized web, where users have more control over their data, identity, and assets. Play-to-earn refers to the concept of earning rewards or income by playing games. Some of the features that Space Kill Among Us APK offers are:</p>
-<ul>
-<li>NFTs (non-fungible tokens): You can collect, trade, or sell unique digital assets such as skins, hats, pets, or weapons that are represented by NFTs on the blockchain.</li>
-<li>Crypto currency: You can earn SKK tokens, the native currency of SPACEKILL, by playing games, completing tasks, or participating in events. You can use SKK tokens to buy NFTs, access premium content, or exchange for other crypto currencies.</li>
-<li>Social network: You can interact with other players through chat, voice, or video. You can also join clans, groups, or communities, or create your own. You can also share your gameplay, NFTs, or SKK tokens with others.</li>
-</ul>
- <h2>How to play Space Kill Among Us APK?</h2>
-<p>Playing Space Kill Among Us APK is easy and fun. You just need to follow these steps:</p>
-<ol>
-<li>Download and install the Space Kill Among Us APK file on your Android device. (We will explain how to do this in the next section.)</li>
-<li>Launch the game and create an account. You will need to provide your email address and a password. You will also need to create a username and a profile picture.</li>
-<li>Choose whether you want to play online or over local WiFi. If you play online, you can join a public lobby or create a private one. If you play over local WiFi, you can join or host a game with your friends nearby.</li>
-<li>Select the number of players, the number of impostors, the game mode, and the map. You can also customize the game settings such as the speed, vision, kill cooldown, task difficulty, and more.</li>
-<li>Start the game and enjoy. You will be assigned a role as either a crewmate or an impostor. As a crewmate, you need to complete tasks around the ship or find the impostor. As an impostor, you need to kill crewmates or sabotage the ship. You can also use vents, cameras, admin panel, or other tools to help you.</li>
-<li>Communicate with other players through chat, voice, or video. You can also use emojis, stickers, or gestures to express yourself. You can chat with everyone during meetings or emergencies, or chat with your teammates or impostors privately.</li>
-<li>Earn SKK tokens and NFTs by playing games, completing tasks, or participating in events. You can also buy, sell, or trade them with other players.</li>
-</ol>
- <h3>The basic gameplay</h3>
-<p>The basic gameplay of Space Kill Among Us APK is similar to that of Among Us. You and other players are on a spaceship that needs to be prepared for departure. However, one or more of you are impostors who want to kill everyone and sabotage the ship. The game ends when either:</p>
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-<ul>
-<li>All crewmates are dead.</li>
-<li>All impostors are dead.</li>
-<li>The crewmates complete all their tasks.</li>
-<li>The impostors cause a major failure such as reactor meltdown or oxygen depletion.</li>
-</ul>
- <h3>The roles and objectives</h3>
-<p>In Space Kill Among Us APK, you can play as one of three roles: crewmate, impostor, or neutral. Each role has different objectives and abilities.</p>
- <table>
-<tr><th>Role</th><th>Objective</th><th>Ability</th></tr>
-<tr><td>Crewmate</td><td>Complete tasks around the ship or find the impostor.</td><td>Report dead bodies, call emergency meetings, vote out impostors, use tools such as cameras or admin panel.</td></tr>
-<tr><td>Impostor</td><td>Kill crewmates or sabotage the ship without getting caught.</td><td>Kill crewmates, sabotage systems, vent around the map, fake tasks, use tools such as cameras or admin panel.</td></tr>
-<tr><td>Neutral</td><td>Survive until the end of the game or complete a secret mission.</td><td>Depends on the type of neutral role. For example, a jester can win by getting voted out, a sheriff can kill impostors or crewmates, a doctor can revive dead bodies, etc.</td></tr>
-</table>
- <h3>The game modes and maps</h3>
-<p>In Space Kill Among Us APK, you can choose from different game modes and maps to spice up your gaming experience. Some of the game modes are:</p>
-<ul>
-<li>Classic: The original mode of Among Us with 4-15 players and 1-3 impostors.</li>
-<li>Infection: A mode where one player starts as an infected who can infect other players by touching them. The infected win by infecting everyone, while the survivors win by escaping on a shuttle.</li>
-<li>Hunt: A mode where one player is a hunter who can kill anyone with one hit. The hunter wins by killing everyone, while the prey win by hiding until time runs out.</li>
-<li>Battle Royale: A mode where everyone is an impostor who can kill anyone. The last impostor standing wins.</li>
-<li>Zombie: A mode where one player is a zombie who can turn other players into zombies by killing them. The zombies win by turning everyone into zombies, while the humans win by surviving until time runs out.</li>
-</ul>
- <p>Some of the maps are:</ <p>Some of the maps are:</p>
-<ul>
-<li>The Skeld: The original map of Among Us with 14 rooms and 2 vents. It is a spaceship that has a reactor, an engine, a medbay, a security room, and more.</li>
-<li>Mira HQ: A map with 12 rooms and 10 vents. It is a sky headquarters that has a greenhouse, a laboratory, a launchpad, and more.</li>
-<li>Polus: A map with 15 rooms and 12 vents. It is a snowy planet base that has a specimen room, a weapons room, a dropship, and more.</li>
-<li>The Airship: A map with 18 rooms and 14 vents. It is a huge airship that has a cockpit, a vault, a kitchen, and more.</li>
-<li>Space Station: A map with 16 rooms and 8 vents. It is a futuristic space station that has a teleporter, a hologram, a control room, and more.</li>
-</ul>
- <h2>How to download and install Space Kill Among Us APK?</h2>
-<p>If you want to play Space Kill Among Us APK on your Android device, you need to download and install the APK file from the official website of SPACEKILL. Here are the steps and precautions you need to follow:</p>
-<ol>
-<li>Go to the official website of SPACEKILL at [spacekill.io] and click on the download button. You will be redirected to a page where you can choose the version of the APK file you want to download. The latest version is v1.0.0.</li>
-<li>After choosing the version, click on the download button again and wait for the APK file to be downloaded on your device. The file size is about 70 MB.</li>
-<li>Before installing the APK file, you need to enable the installation of apps from unknown sources on your device. To do this, go to your device settings, then security, then unknown sources, and turn it on.</li>
-<li>Once you have enabled the installation of apps from unknown sources, locate the APK file on your device and tap on it. You will see a pop-up window asking you to confirm the installation. Tap on install and wait for the process to finish.</li>
-<li>After the installation is complete, you can launch the game and enjoy playing Space Kill Among Us APK.</li>
-</ol>
- <h3>The requirements and compatibility</h3>
-<p>To play Space Kill Among Us APK on your Android device, you need to meet some requirements and compatibility issues. These are:</p>
-<ul>
-<li>Your device must have Android 4.4 or higher operating system.</li>
-<li>Your device must have at least 1 GB of RAM and 100 MB of free storage space.</li>
-<li>Your device must have an internet connection to play online or over local WiFi.</li>
-<li>Your device must not have any antivirus or firewall software that might block or interfere with the game.</li>
-</ul>
- <h3>The steps and precautions</h3>
-<p>To download and install Space Kill Among Us APK on your Android device, you need to follow some steps and precautions. These are:</p>
-<ul>
-<li>You need to download the APK file only from the official website of SPACEKILL at [spacekill.io]. Do not download it from any other sources as they might contain viruses or malware that could harm your device or steal your data.</li>
-<li>You need to enable the installation of apps from unknown sources on your device before installing the APK file. This is because the game is not available on the Google Play Store or any other official app store. You can disable this option after installing the game if you want.</li>
-<li>You need to update the game regularly to get the latest features, bug fixes, and security patches. You can check for updates on the official website of SPACEKILL or within the game itself.</li>
-<li>You need to be careful when playing online or over local WiFi with other players. Do not share any personal or sensitive information with strangers or click on any suspicious links or ads that might appear in the game.</li>
-</ul>
- <h3>The benefits and drawbacks</h3>
-<p>Playing Space Kill Among Us APK on your Android device has some benefits and drawbacks. These are:</p>
- <table>
-<tr><th>Benefits</th><th>Drawbacks</th></tr>
-<tr><td>You can enjoy a new twist on the popular party game of Among Us with web3 social and play-to-earn features.</td><td>You might encounter some bugs, glitches, or errors while playing the game as it is still in development.</td></tr>
-<tr><td>You can collect, trade, or sell unique NFTs that represent digital assets such as skins, hats, pets, or weapons.</td><td>You might need to spend some real money to buy some NFTs or SKK tokens, or deal with some transaction fees or network congestion on the blockchain.</td></tr>
-<tr><td>You can earn SKK tokens by playing games, completing tasks, or participating in events. You can use SKK tokens to buy NFTs, access premium content, or exchange for other crypto currencies.</td><td>You might need to comply with some tax or legal regulations regarding your crypto earnings, or face some risks such as hacking, theft, or fraud.</td></tr>
-<tr><td>You can interact with other players through chat, voice, or video. You can also join clans, groups, or communities, or create your own. You can also share your gameplay, NFTs, or SKK tokens with others.</td><td>You might encounter some toxic or abusive players who might ruin your gaming experience or harass you. You might also need to protect your privacy and security when communicating with others.</td></tr>
-</table>
- <h2>Why should you try Space Kill Among Us APK?</h2>
-<p>Space Kill Among Us APK is a game that offers a lot of fun and excitement for fans of Among Us and web3 enthusiasts alike. Here are some reasons why you should try it:</p>
- <h3>The unique features and advantages</h3>
-<p>Space Kill Among Us APK is a game that adds some unique features and advantages to the original Among Us game. Some of these are:</p>
-<ul>
-<li>You can play with different roles, objectives, modes, and maps that add more variety and challenge to the game.</li>
-<li>You can collect, trade, or sell NFTs that represent digital assets such as skins, hats, pets, or weapons. You can also customize your character and show off your style and personality.</li>
-<li>You can earn SKK tokens by playing games, completing tasks, or participating in events. You can also use SKK tokens to buy NFTs, access premium content, or exchange for other crypto currencies.</li>
-<li>You can interact with other players through chat, voice, or video. You can also join clans, groups, or communities, or create your own. You can also share your gameplay, NFTs, or SKK tokens with others.</li>
-</ul>
- <h3>The challenges and fun</h3>
-<p>Space Kill Among Us APK is a game that offers a lot of challenges and fun for players of all ages and skill levels. Some of these are:</p>
-<ul>
-<li>You can test your teamwork and deception skills as you play as either a crewmate or an impostor on a spaceship. You can also use various tools and strategies to help you achieve your goal.</li>
-<li>You can enjoy a thrilling and suspenseful gameplay as you try to survive or kill in space. You can also experience different scenarios and outcomes depending on your choices and actions.</li>
-<li>You can have a blast playing with your friends or strangers online or over local WiFi. You can also make new friends or enemies along the way.</li>
-<li>You can have a sense of achievement and satisfaction as you collect NFTs and SKK tokens by playing games, completing tasks, or participating in events. You can also use them to enhance your gaming experience or earn some income.</li>
-</ul>
- <h3>The community and rewards</h3>
-<p>Space Kill Among Us APK is a game that offers a lot of community and rewards for players who want to connect with others and get more out of the game. Some of these are:</p>
-<ul>
-<li>You can join the official Discord server of SPACEKILL at [discord.gg/spacekill] where you can chat with other players, get support from the developers, participate in giveaways and contests, and more.</li>
-<li>You can follow the official Twitter account of SPACEKILL at [@spacekillio] where you can get the latest news and updates about the game, interact with the developers and influencers, join polls and surveys, and more.</li>
-<li>You can visit the official website of SPACEKILL at [spacekill.io] where you can learn more about the game, download the APK file, check out the NFT marketplace , check out the SKK token, and more.</li>
-<li>You can also join other platforms and channels where SPACEKILL and its community are active, such as Reddit, YouTube, Medium, Telegram, and more.</li>
-<li>You can also earn some rewards and incentives by playing Space Kill Among Us APK, such as NFTs, SKK tokens, referral bonuses, leaderboard prizes, and more.</li>
-</ul>
- <h2>Conclusion</h2>
-<p>Space Kill Among Us APK is a fan-made mod of Among Us that adds some web3 social and play-to-earn features to the game. It is a game of teamwork and betrayal in space where you can play as either a crewmate, an impostor, or a neutral role. You can also collect, trade, or sell NFTs, earn SKK tokens, interact with other players, and join the SPACEKILL community. If you are looking for a new twist on the popular party game of Among Us, you should definitely try Space Kill Among Us APK. You can download and install it on your Android device from the official website of SPACEKILL at [spacekill.io]. Have fun and enjoy!</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions about Space Kill Among Us APK:</p>
-<ol>
-<li><strong>Is Space Kill Among Us APK safe to download and play?</strong></li>
-<p>Yes, Space Kill Among Us APK is safe to download and play as long as you get it from the official website of SPACEKILL at [spacekill.io]. However, you should always be careful when downloading and installing apps from unknown sources, and follow the steps and precautions we mentioned in this article.</p>
-<li><strong>Is Space Kill Among Us APK compatible with the original Among Us game?</strong></li>
-<p>Yes, Space Kill Among Us APK is compatible with the original Among Us game. You can play with other players who have either the modded or the original version of the game. However, you might not be able to access some features or content that are exclusive to the modded version.</p>
-<li><strong>How can I get NFTs and SKK tokens in Space Kill Among Us APK?</strong></li>
-<p>You can get NFTs and SKK tokens in Space Kill Among Us APK by playing games, completing tasks, or participating in events. You can also buy them with real money or other crypto currencies on the NFT marketplace or the SKK token page on the official website of SPACEKILL.</p>
-<li><strong>How can I contact the developers or support team of Space Kill Among Us APK?</strong></li>
-<p>You can contact the developers or support team of Space Kill Among Us APK by joining their official Discord server at [discord.gg/spacekill] or by sending them an email at [[email protected]]. You can also follow them on their social media accounts or visit their website for more information.</p>
-<li><strong>What are some tips and tricks for playing Space Kill Among Us APK?</strong></li>
-<p>Some tips and tricks for playing Space Kill Among Us APK are:</p>
-<ul>
-<li>Use your common sense and intuition to spot impostors or liars.</li>
-<li>Communicate and cooperate with your teammates or impostors effectively.</li>
-<li>Use your tools and abilities wisely and strategically.</li>
-<li>Be creative and flexible in your gameplay and tactics.</li>
-<li>Have fun and enjoy the game!</li>
-</ul>
-</ol></p> 197e85843d<br />
-<br />
-<br />

spaces/1phancelerku/anime-remove-background/Drift Slam Mod APK - Enjoy the Ultimate Racing Experience with No Ads.md

@@ -1,104 +0,0 @@
-<br />
-<h1>Drift Slam Mod APK: Enjoy the Ultimate Drifting Experience on Your Android Device</h1>
- <p>Do you love drifting games? Do you want to experience the thrill of sliding your car around corners at high speeds? If yes, then you should try <strong>Drift Slam</strong>, one of the most exciting and popular free racing games for Android devices. And if you want to make your drifting experience even more fun and rewarding, then you should download <strong>Drift Slam Mod APK</strong>, a modified version of the game that gives you access to all the premium features for free. In this article, we will tell you everything you need to know about Drift Slam Mod APK, including its features, benefits, download and installation process, gameplay tips, and more. So, read on and get ready to drift like a pro!</p>
- <h2>What is Drift Slam?</h2>
- <p>Drift Slam is a free-to-play 3D drifting game that lets you take control of various cars and drift them on different tracks. The game has realistic physics and graphics that make you feel like you are actually driving a car. You can customize your car with different colors, wheels, spoilers, decals, and more. You can also upgrade your car's engine, suspension, brakes, tires, and other parts to improve its performance.</p>
-<h2>drift slam mod apk</h2><br /><p><b><b>DOWNLOAD</b> &#10027; <a href="https://jinyurl.com/2uNUwW">https://jinyurl.com/2uNUwW</a></b></p><br /><br />
- <p>The game has a variety of tracks and locations to choose from, such as city streets, highways, deserts, mountains, snowfields, etc. Each track has its own challenges and obstacles that test your drifting skills. You can also choose from different modes and levels of difficulty, such as time trial, drift race, drift battle, drift challenge, etc. The game rewards you with money and diamonds for completing missions and achievements. You can use them to buy new cars or upgrade your existing ones.</p>
- <p>Drift Slam is a challenging and addictive game that requires you to master the art of drifting. You have to use the throttle, brake, steering, handbrake, and weight transfer to initiate and control your drifts. You have to balance speed and angle while avoiding crashing into walls or other cars. You have to drift as much as possible to earn points and bonuses. The game also has a leaderboard system that lets you compete with other players around the world.</p>
- <h2>What is Drift Slam Mod APK?</h2>
- <p>Drift Slam Mod APK is a modified version of the original game that unlocks all the premium features for free. It is created by third-party developers who modify the original APK file of the game to add or enable some extra features that are not available in the official version. These features include unlimited money, no ads, free purchases, hack 100000 diamonds, unlimited all, and fixes bugs and improves performance. Drift Slam Mod APK is a great way to enjoy the game without any limitations or interruptions. You can have unlimited fun and satisfaction with Drift Slam Mod APK.</p>
- <h2>How to Download and Install Drift Slam Mod APK?</h2>
- <p>Downloading and installing Drift Slam Mod APK is very easy and simple. You just need to follow these steps:</p>
- <ol>
-<li>Click on the download button below to download the Drift Slam Mod APK file on your device.</li>
-<li>Once the download is complete, go to your device's settings and enable the installation of apps from unknown sources. This will allow you to install the modded file without any issues.</li>
-<li>Locate the downloaded file in your device's file manager and tap on it to start the installation process.</li>
-<li>Follow the instructions on the screen and wait for the installation to finish.</li>
-<li>Launch the game from your app drawer and enjoy the modded features.</li>
-</ol>
- <p>That's it! You have successfully downloaded and installed Drift Slam Mod APK on your Android device. Now you can enjoy the ultimate drifting experience with unlimited money, diamonds, and more.</p>
- <h2>How to Play Drift Slam Mod APK?</h2>
- <p>Playing Drift Slam Mod APK is very similar to playing the original game. You just need to follow these steps:</p>
- <ol>
-<li>Select a mode and a level of difficulty from the main menu.</li>
-<li>Select a car and customize it according to your preference.</li>
-<li>Select a track and start drifting.</li>
-<li>Use the on-screen buttons to control your car's throttle, brake, steering, handbrake, and camera angle.</li>
-<li>Drift as much as possible to earn points and bonuses.</li>
-<li>Avoid crashing into walls or other cars as it will reduce your points and damage your car.</li>
-<li>Complete the mission or beat the opponent to win the game.</li>
-</ol>
- <p>Here are some tips and tricks to help you master drifting and win the game:</p>
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- <ul>
-<li>Practice drifting on different tracks and cars to get familiar with their handling and performance.</li>
-<li>Use the handbrake wisely to initiate and maintain your drifts. Don't overuse it or you will lose speed and control.</li>
-<li>Use the weight transfer technique to change the direction of your drifts. To do this, release the throttle briefly before turning into a corner, then apply it again as you exit the corner.</li>
-<li>Try to drift as close as possible to the walls or other cars to get extra points and bonuses. But be careful not to hit them or you will lose points and damage your car.</li>
-<li>Upgrade your car's parts regularly to improve its speed, acceleration, handling, braking, and durability.</li>
-</ul>
- <h2>Conclusion</h2>
- <p>Drift Slam Mod APK is an amazing drifting game that offers you unlimited fun and excitement. You can enjoy realistic physics and graphics, a variety of tracks and cars, a challenging gameplay, and a lot of premium features for free. You can download and install Drift Slam Mod APK easily on your Android device and start drifting like a pro. So, what are you waiting for? Download Drift Slam Mod APK now and enjoy the ultimate drifting experience!</p>
- <h2>FAQs</h2>
- <p>Here are some of the frequently asked questions about Drift Slam Mod APK:</p>
- <h3>What are some of the best drifting games for Android?</h3>
- <p>Besides Drift Slam, some of the best drifting games for Android are CarX Drift Racing 2, Real Drift Car Racing, Torque Drift, FR Legends, Hashiriya Drifter, etc. You can find them on Google Play Store or other websites.</p>
- <h3>Is Drift Slam Mod APK safe to use?</h3>
- <p>Yes, Drift Slam Mod APK is safe to use as long as you download it from a trusted source. However, you should always be careful when downloading modded files from unknown sources as they may contain viruses or malware that can harm your device or steal your data. You should also backup your data before installing any modded file on your device.</p>
- <h3>Can I play Drift Slam Mod APK offline?</h3>
- <p>Yes, you can play Drift Slam Mod APK offline without any internet connection. However, some features may not work properly or may require an internet connection to function. For example, you may not be able to access the leaderboard system or compete with other players online if you play offline.</p>
- <h3>How can I update Drift Slam Mod APK?</h3>
- <p>You can update Drift Slam Mod APK by downloading and installing the latest version of the modded file from the same source where you downloaded it from. You can also check for updates regularly by visiting the source website or following their social media pages. However, you should be aware that updating the modded file may cause some issues or errors in the game. You may also lose your progress or data if you update the modded file. Therefore, you should always backup your data before updating any modded file on your device.</p>
- <h3>Where can I find more modded APK files for other games?</h3>
- <p>You can find more modded APK files for other games on various websites and platforms that offer such files. Some of the popular and reliable sources are APKPure, APKMODY, HappyMod, Rexdl, etc. You can also search for modded APK files on Google or other search engines. However, you should always be careful when downloading modded files from unknown sources as they may contain viruses or malware that can harm your device or steal your data. You should also check the reviews and ratings of the modded files before downloading them.</p> 197e85843d<br />
-<br />
-<br />

spaces/4Taps/SadTalker/src/face3d/models/losses.py

@@ -1,113 +0,0 @@
-import numpy as np
-import torch
-import torch.nn as nn
-from kornia.geometry import warp_affine
-import torch.nn.functional as F
-
-def resize_n_crop(image, M, dsize=112):
-    # image: (b, c, h, w)
-    # M   :  (b, 2, 3)
-    return warp_affine(image, M, dsize=(dsize, dsize), align_corners=True)
-
-### perceptual level loss
-class PerceptualLoss(nn.Module):
-    def __init__(self, recog_net, input_size=112):
-        super(PerceptualLoss, self).__init__()
-        self.recog_net = recog_net
-        self.preprocess = lambda x: 2 * x - 1
-        self.input_size=input_size
-    def forward(imageA, imageB, M):
-        """
-        1 - cosine distance
-        Parameters:
-            imageA       --torch.tensor (B, 3, H, W), range (0, 1) , RGB order
-            imageB       --same as imageA
-        """
-
-        imageA = self.preprocess(resize_n_crop(imageA, M, self.input_size))
-        imageB = self.preprocess(resize_n_crop(imageB, M, self.input_size))
-
-        # freeze bn
-        self.recog_net.eval()
-        
-        id_featureA = F.normalize(self.recog_net(imageA), dim=-1, p=2)
-        id_featureB = F.normalize(self.recog_net(imageB), dim=-1, p=2)  
-        cosine_d = torch.sum(id_featureA * id_featureB, dim=-1)
-        # assert torch.sum((cosine_d > 1).float()) == 0
-        return torch.sum(1 - cosine_d) / cosine_d.shape[0]        
-
-def perceptual_loss(id_featureA, id_featureB):
-    cosine_d = torch.sum(id_featureA * id_featureB, dim=-1)
-        # assert torch.sum((cosine_d > 1).float()) == 0
-    return torch.sum(1 - cosine_d) / cosine_d.shape[0]  
-
-### image level loss
-def photo_loss(imageA, imageB, mask, eps=1e-6):
-    """
-    l2 norm (with sqrt, to ensure backward stabililty, use eps, otherwise Nan may occur)
-    Parameters:
-        imageA       --torch.tensor (B, 3, H, W), range (0, 1), RGB order 
-        imageB       --same as imageA
-    """
-    loss = torch.sqrt(eps + torch.sum((imageA - imageB) ** 2, dim=1, keepdims=True)) * mask
-    loss = torch.sum(loss) / torch.max(torch.sum(mask), torch.tensor(1.0).to(mask.device))
-    return loss
-
-def landmark_loss(predict_lm, gt_lm, weight=None):
-    """
-    weighted mse loss
-    Parameters:
-        predict_lm    --torch.tensor (B, 68, 2)
-        gt_lm         --torch.tensor (B, 68, 2)
-        weight        --numpy.array (1, 68)
-    """
-    if not weight:
-        weight = np.ones([68])
-        weight[28:31] = 20
-        weight[-8:] = 20
-        weight = np.expand_dims(weight, 0)
-        weight = torch.tensor(weight).to(predict_lm.device)
-    loss = torch.sum((predict_lm - gt_lm)**2, dim=-1) * weight
-    loss = torch.sum(loss) / (predict_lm.shape[0] * predict_lm.shape[1])
-    return loss
-
-
-### regulization
-def reg_loss(coeffs_dict, opt=None):
-    """
-    l2 norm without the sqrt, from yu's implementation (mse)
-    tf.nn.l2_loss https://www.tensorflow.org/api_docs/python/tf/nn/l2_loss
-    Parameters:
-        coeffs_dict     -- a  dict of torch.tensors , keys: id, exp, tex, angle, gamma, trans
-
-    """
-    # coefficient regularization to ensure plausible 3d faces
-    if opt:
-        w_id, w_exp, w_tex = opt.w_id, opt.w_exp, opt.w_tex
-    else:
-        w_id, w_exp, w_tex = 1, 1, 1, 1
-    creg_loss = w_id * torch.sum(coeffs_dict['id'] ** 2) +  \
-           w_exp * torch.sum(coeffs_dict['exp'] ** 2) + \
-           w_tex * torch.sum(coeffs_dict['tex'] ** 2)
-    creg_loss = creg_loss / coeffs_dict['id'].shape[0]
-
-    # gamma regularization to ensure a nearly-monochromatic light
-    gamma = coeffs_dict['gamma'].reshape([-1, 3, 9])
-    gamma_mean = torch.mean(gamma, dim=1, keepdims=True)
-    gamma_loss = torch.mean((gamma - gamma_mean) ** 2)
-
-    return creg_loss, gamma_loss
-
-def reflectance_loss(texture, mask):
-    """
-    minimize texture variance (mse), albedo regularization to ensure an uniform skin albedo
-    Parameters:
-        texture       --torch.tensor, (B, N, 3)
-        mask          --torch.tensor, (N), 1 or 0
-
-    """
-    mask = mask.reshape([1, mask.shape[0], 1])
-    texture_mean = torch.sum(mask * texture, dim=1, keepdims=True) / torch.sum(mask)
-    loss = torch.sum(((texture - texture_mean) * mask)**2) / (texture.shape[0] * torch.sum(mask))
-    return loss
-

spaces/ADOPLE/AdopleAI-ResumeAnalyzer/style.css

@@ -1,42 +0,0 @@
-#col-container {
-  max-width: 600px;
-  margin-left: auto;
-  margin-right: auto;
-}
-
-#row-flex {
-  display: flex;
-  align-items: center;
-  justify-content: center;
-}
-gradio-app{
-  background: rgb(153,0,255);
-  background-image: radial-gradient(circle, rgba(153,0,255,1) 0%, rgba(9,15,121,1) 96%, rgba(2,0,36,1) 100%) !important;
-  height: 100%;
-  width: 100%;
-}
-.leftimage .rightimage{
-  float:left;
-  filter: drop-shadow(20px 20px 10px white);
-}
-.leftimage{
-  padding-top:40px;
-  margin-left:310px;
-}
-.rightimage{
-  padding-top:40px;
-  margin-right:320px;
-}
-a,
-a:hover,
-a:visited {
-  text-decoration-line: underline;
-  font-weight: 600;
-  color: #1f2937 !important;
-}
-
-.dark a,
-.dark a:hover,
-.dark a:visited {
-  color: #f3f4f6 !important;
-}

spaces/AIConsultant/MusicGen/audiocraft/grids/musicgen/__init__.py

@@ -1,6 +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.
-"""MusicGen grids."""

spaces/AIGC-Audio/AudioGPT/text_to_speech/data_gen/tts/runs/align_and_binarize.py

@@ -1,12 +0,0 @@
-import utils.commons.single_thread_env  # NOQA
-from text_to_speech.utils.commons.hparams import set_hparams, hparams
-from text_to_speech.data_gen.tts.runs.binarize import binarize
-from text_to_speech.data_gen.tts.runs.preprocess import preprocess
-from text_to_speech.data_gen.tts.runs.train_mfa_align import train_mfa_align
-
-if __name__ == '__main__':
-    set_hparams()
-    preprocess()
-    if hparams['preprocess_args']['use_mfa']:
-        train_mfa_align()
-    binarize()

spaces/AIGC-Audio/Make_An_Audio_inpaint/ldm/models/diffusion/plms.py

@@ -1,236 +0,0 @@
-"""SAMPLING ONLY."""
-
-import torch
-import numpy as np
-from tqdm import tqdm
-from functools import partial
-
-from ldm.modules.diffusionmodules.util import make_ddim_sampling_parameters, make_ddim_timesteps, noise_like
-
-
-class PLMSSampler(object):
-    def __init__(self, model, schedule="linear", **kwargs):
-        super().__init__()
-        self.model = model
-        self.ddpm_num_timesteps = model.num_timesteps
-        self.schedule = schedule
-
-    def register_buffer(self, name, attr):
-        if type(attr) == torch.Tensor:
-            if attr.device != torch.device("cuda"):
-                attr = attr.to(torch.device("cuda"))
-        setattr(self, name, attr)
-
-    def make_schedule(self, ddim_num_steps, ddim_discretize="uniform", ddim_eta=0., verbose=True):
-        if ddim_eta != 0:
-            raise ValueError('ddim_eta must be 0 for PLMS')
-        self.ddim_timesteps = make_ddim_timesteps(ddim_discr_method=ddim_discretize, num_ddim_timesteps=ddim_num_steps,
-                                                  num_ddpm_timesteps=self.ddpm_num_timesteps,verbose=verbose)
-        alphas_cumprod = self.model.alphas_cumprod
-        assert alphas_cumprod.shape[0] == self.ddpm_num_timesteps, 'alphas have to be defined for each timestep'
-        to_torch = lambda x: x.clone().detach().to(torch.float32).to(self.model.device)
-
-        self.register_buffer('betas', to_torch(self.model.betas))
-        self.register_buffer('alphas_cumprod', to_torch(alphas_cumprod))
-        self.register_buffer('alphas_cumprod_prev', to_torch(self.model.alphas_cumprod_prev))
-
-        # calculations for diffusion q(x_t | x_{t-1}) and others
-        self.register_buffer('sqrt_alphas_cumprod', to_torch(np.sqrt(alphas_cumprod.cpu())))
-        self.register_buffer('sqrt_one_minus_alphas_cumprod', to_torch(np.sqrt(1. - alphas_cumprod.cpu())))
-        self.register_buffer('log_one_minus_alphas_cumprod', to_torch(np.log(1. - alphas_cumprod.cpu())))
-        self.register_buffer('sqrt_recip_alphas_cumprod', to_torch(np.sqrt(1. / alphas_cumprod.cpu())))
-        self.register_buffer('sqrt_recipm1_alphas_cumprod', to_torch(np.sqrt(1. / alphas_cumprod.cpu() - 1)))
-
-        # ddim sampling parameters
-        ddim_sigmas, ddim_alphas, ddim_alphas_prev = make_ddim_sampling_parameters(alphacums=alphas_cumprod.cpu(),
-                                                                                   ddim_timesteps=self.ddim_timesteps,
-                                                                                   eta=ddim_eta,verbose=verbose)
-        self.register_buffer('ddim_sigmas', ddim_sigmas)
-        self.register_buffer('ddim_alphas', ddim_alphas)
-        self.register_buffer('ddim_alphas_prev', ddim_alphas_prev)
-        self.register_buffer('ddim_sqrt_one_minus_alphas', np.sqrt(1. - ddim_alphas))
-        sigmas_for_original_sampling_steps = ddim_eta * torch.sqrt(
-            (1 - self.alphas_cumprod_prev) / (1 - self.alphas_cumprod) * (
-                        1 - self.alphas_cumprod / self.alphas_cumprod_prev))
-        self.register_buffer('ddim_sigmas_for_original_num_steps', sigmas_for_original_sampling_steps)
-
-    @torch.no_grad()
-    def sample(self,
-               S,
-               batch_size,
-               shape,
-               conditioning=None,
-               callback=None,
-               normals_sequence=None,
-               img_callback=None,
-               quantize_x0=False,
-               eta=0.,
-               mask=None,
-               x0=None,
-               temperature=1.,
-               noise_dropout=0.,
-               score_corrector=None,
-               corrector_kwargs=None,
-               verbose=True,
-               x_T=None,
-               log_every_t=100,
-               unconditional_guidance_scale=1.,
-               unconditional_conditioning=None,
-               # this has to come in the same format as the conditioning, # e.g. as encoded tokens, ...
-               **kwargs
-               ):
-        if conditioning is not None:
-            if isinstance(conditioning, dict):
-                cbs = conditioning[list(conditioning.keys())[0]].shape[0]
-                if cbs != batch_size:
-                    print(f"Warning: Got {cbs} conditionings but batch-size is {batch_size}")
-            else:
-                if conditioning.shape[0] != batch_size:
-                    print(f"Warning: Got {conditioning.shape[0]} conditionings but batch-size is {batch_size}")
-
-        self.make_schedule(ddim_num_steps=S, ddim_eta=eta, verbose=verbose)
-        # sampling
-        C, H, W = shape
-        size = (batch_size, C, H, W)
-        print(f'Data shape for PLMS sampling is {size}')
-
-        samples, intermediates = self.plms_sampling(conditioning, size,
-                                                    callback=callback,
-                                                    img_callback=img_callback,
-                                                    quantize_denoised=quantize_x0,
-                                                    mask=mask, x0=x0,
-                                                    ddim_use_original_steps=False,
-                                                    noise_dropout=noise_dropout,
-                                                    temperature=temperature,
-                                                    score_corrector=score_corrector,
-                                                    corrector_kwargs=corrector_kwargs,
-                                                    x_T=x_T,
-                                                    log_every_t=log_every_t,
-                                                    unconditional_guidance_scale=unconditional_guidance_scale,
-                                                    unconditional_conditioning=unconditional_conditioning,
-                                                    )
-        return samples, intermediates
-
-    @torch.no_grad()
-    def plms_sampling(self, cond, shape,
-                      x_T=None, ddim_use_original_steps=False,
-                      callback=None, timesteps=None, quantize_denoised=False,
-                      mask=None, x0=None, img_callback=None, log_every_t=100,
-                      temperature=1., noise_dropout=0., score_corrector=None, corrector_kwargs=None,
-                      unconditional_guidance_scale=1., unconditional_conditioning=None,):
-        device = self.model.betas.device
-        b = shape[0]
-        if x_T is None:
-            img = torch.randn(shape, device=device)
-        else:
-            img = x_T
-
-        if timesteps is None:
-            timesteps = self.ddpm_num_timesteps if ddim_use_original_steps else self.ddim_timesteps
-        elif timesteps is not None and not ddim_use_original_steps:
-            subset_end = int(min(timesteps / self.ddim_timesteps.shape[0], 1) * self.ddim_timesteps.shape[0]) - 1
-            timesteps = self.ddim_timesteps[:subset_end]
-
-        intermediates = {'x_inter': [img], 'pred_x0': [img]}
-        time_range = list(reversed(range(0,timesteps))) if ddim_use_original_steps else np.flip(timesteps)
-        total_steps = timesteps if ddim_use_original_steps else timesteps.shape[0]
-        print(f"Running PLMS Sampling with {total_steps} timesteps")
-
-        iterator = tqdm(time_range, desc='PLMS Sampler', total=total_steps)
-        old_eps = []
-
-        for i, step in enumerate(iterator):
-            index = total_steps - i - 1
-            ts = torch.full((b,), step, device=device, dtype=torch.long)
-            ts_next = torch.full((b,), time_range[min(i + 1, len(time_range) - 1)], device=device, dtype=torch.long)
-
-            if mask is not None:
-                assert x0 is not None
-                img_orig = self.model.q_sample(x0, ts)  # TODO: deterministic forward pass?
-                img = img_orig * mask + (1. - mask) * img
-
-            outs = self.p_sample_plms(img, cond, ts, index=index, use_original_steps=ddim_use_original_steps,
-                                      quantize_denoised=quantize_denoised, temperature=temperature,
-                                      noise_dropout=noise_dropout, score_corrector=score_corrector,
-                                      corrector_kwargs=corrector_kwargs,
-                                      unconditional_guidance_scale=unconditional_guidance_scale,
-                                      unconditional_conditioning=unconditional_conditioning,
-                                      old_eps=old_eps, t_next=ts_next)
-            img, pred_x0, e_t = outs
-            old_eps.append(e_t)
-            if len(old_eps) >= 4:
-                old_eps.pop(0)
-            if callback: callback(i)
-            if img_callback: img_callback(pred_x0, i)
-
-            if index % log_every_t == 0 or index == total_steps - 1:
-                intermediates['x_inter'].append(img)
-                intermediates['pred_x0'].append(pred_x0)
-
-        return img, intermediates
-
-    @torch.no_grad()
-    def p_sample_plms(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,
-                      temperature=1., noise_dropout=0., score_corrector=None, corrector_kwargs=None,
-                      unconditional_guidance_scale=1., unconditional_conditioning=None, old_eps=None, t_next=None):
-        b, *_, device = *x.shape, x.device
-
-        def get_model_output(x, t):
-            if unconditional_conditioning is None or unconditional_guidance_scale == 1.:
-                e_t = self.model.apply_model(x, t, c)
-            else:
-                x_in = torch.cat([x] * 2)
-                t_in = torch.cat([t] * 2)
-                c_in = torch.cat([unconditional_conditioning, c])
-                e_t_uncond, e_t = self.model.apply_model(x_in, t_in, c_in).chunk(2)
-                e_t = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond)
-
-            if score_corrector is not None:
-                assert self.model.parameterization == "eps"
-                e_t = score_corrector.modify_score(self.model, e_t, x, t, c, **corrector_kwargs)
-
-            return e_t
-
-        alphas = self.model.alphas_cumprod if use_original_steps else self.ddim_alphas
-        alphas_prev = self.model.alphas_cumprod_prev if use_original_steps else self.ddim_alphas_prev
-        sqrt_one_minus_alphas = self.model.sqrt_one_minus_alphas_cumprod if use_original_steps else self.ddim_sqrt_one_minus_alphas
-        sigmas = self.model.ddim_sigmas_for_original_num_steps if use_original_steps else self.ddim_sigmas
-
-        def get_x_prev_and_pred_x0(e_t, index):
-            # select parameters corresponding to the currently considered timestep
-            a_t = torch.full((b, 1, 1, 1), alphas[index], device=device)
-            a_prev = torch.full((b, 1, 1, 1), alphas_prev[index], device=device)
-            sigma_t = torch.full((b, 1, 1, 1), sigmas[index], device=device)
-            sqrt_one_minus_at = torch.full((b, 1, 1, 1), sqrt_one_minus_alphas[index],device=device)
-
-            # current prediction for x_0
-            pred_x0 = (x - sqrt_one_minus_at * e_t) / a_t.sqrt()
-            if quantize_denoised:
-                pred_x0, _, *_ = self.model.first_stage_model.quantize(pred_x0)
-            # direction pointing to x_t
-            dir_xt = (1. - a_prev - sigma_t**2).sqrt() * e_t
-            noise = sigma_t * noise_like(x.shape, device, repeat_noise) * temperature
-            if noise_dropout > 0.:
-                noise = torch.nn.functional.dropout(noise, p=noise_dropout)
-            x_prev = a_prev.sqrt() * pred_x0 + dir_xt + noise
-            return x_prev, pred_x0
-
-        e_t = get_model_output(x, t)
-        if len(old_eps) == 0:
-            # Pseudo Improved Euler (2nd order)
-            x_prev, pred_x0 = get_x_prev_and_pred_x0(e_t, index)
-            e_t_next = get_model_output(x_prev, t_next)
-            e_t_prime = (e_t + e_t_next) / 2
-        elif len(old_eps) == 1:
-            # 2nd order Pseudo Linear Multistep (Adams-Bashforth)
-            e_t_prime = (3 * e_t - old_eps[-1]) / 2
-        elif len(old_eps) == 2:
-            # 3nd order Pseudo Linear Multistep (Adams-Bashforth)
-            e_t_prime = (23 * e_t - 16 * old_eps[-1] + 5 * old_eps[-2]) / 12
-        elif len(old_eps) >= 3:
-            # 4nd order Pseudo Linear Multistep (Adams-Bashforth)
-            e_t_prime = (55 * e_t - 59 * old_eps[-1] + 37 * old_eps[-2] - 9 * old_eps[-3]) / 24
-
-        x_prev, pred_x0 = get_x_prev_and_pred_x0(e_t_prime, index)
-
-        return x_prev, pred_x0, e_t

spaces/AIGText/GlyphControl/ldm/modules/distributions/distributions.py

@@ -1,92 +0,0 @@
-import torch
-import numpy as np
-
-
-class AbstractDistribution:
-    def sample(self):
-        raise NotImplementedError()
-
-    def mode(self):
-        raise NotImplementedError()
-
-
-class DiracDistribution(AbstractDistribution):
-    def __init__(self, value):
-        self.value = value
-
-    def sample(self):
-        return self.value
-
-    def mode(self):
-        return self.value
-
-
-class DiagonalGaussianDistribution(object):
-    def __init__(self, parameters, deterministic=False):
-        self.parameters = parameters
-        self.mean, self.logvar = torch.chunk(parameters, 2, dim=1)
-        self.logvar = torch.clamp(self.logvar, -30.0, 20.0)
-        self.deterministic = deterministic
-        self.std = torch.exp(0.5 * self.logvar)
-        self.var = torch.exp(self.logvar)
-        if self.deterministic:
-            self.var = self.std = torch.zeros_like(self.mean).to(device=self.parameters.device)
-
-    def sample(self):
-        x = self.mean + self.std * torch.randn(self.mean.shape).to(device=self.parameters.device)
-        return x
-
-    def kl(self, other=None):
-        if self.deterministic:
-            return torch.Tensor([0.])
-        else:
-            if other is None:
-                return 0.5 * torch.sum(torch.pow(self.mean, 2)
-                                       + self.var - 1.0 - self.logvar,
-                                       dim=[1, 2, 3])
-            else:
-                return 0.5 * torch.sum(
-                    torch.pow(self.mean - other.mean, 2) / other.var
-                    + self.var / other.var - 1.0 - self.logvar + other.logvar,
-                    dim=[1, 2, 3])
-
-    def nll(self, sample, dims=[1,2,3]):
-        if self.deterministic:
-            return torch.Tensor([0.])
-        logtwopi = np.log(2.0 * np.pi)
-        return 0.5 * torch.sum(
-            logtwopi + self.logvar + torch.pow(sample - self.mean, 2) / self.var,
-            dim=dims)
-
-    def mode(self):
-        return self.mean
-
-
-def normal_kl(mean1, logvar1, mean2, logvar2):
-    """
-    source: https://github.com/openai/guided-diffusion/blob/27c20a8fab9cb472df5d6bdd6c8d11c8f430b924/guided_diffusion/losses.py#L12
-    Compute the KL divergence between two gaussians.
-    Shapes are automatically broadcasted, so batches can be compared to
-    scalars, among other use cases.
-    """
-    tensor = None
-    for obj in (mean1, logvar1, mean2, logvar2):
-        if isinstance(obj, torch.Tensor):
-            tensor = obj
-            break
-    assert tensor is not None, "at least one argument must be a Tensor"
-
-    # Force variances to be Tensors. Broadcasting helps convert scalars to
-    # Tensors, but it does not work for torch.exp().
-    logvar1, logvar2 = [
-        x if isinstance(x, torch.Tensor) else torch.tensor(x).to(tensor)
-        for x in (logvar1, logvar2)
-    ]
-
-    return 0.5 * (
-        -1.0
-        + logvar2
-        - logvar1
-        + torch.exp(logvar1 - logvar2)
-        + ((mean1 - mean2) ** 2) * torch.exp(-logvar2)
-    )

spaces/ATang0729/Forecast4Muses/Model/Model6/Model6_2_ProfileRecogition/mmpretrain/configs/resnet/resnetv1c152_8xb32_in1k.py

@@ -1,7 +0,0 @@
-_base_ = [
-    '../_base_/models/resnetv1c50.py',
-    '../_base_/datasets/imagenet_bs32_pil_resize.py',
-    '../_base_/schedules/imagenet_bs256.py', '../_base_/default_runtime.py'
-]
-
-model = dict(backbone=dict(depth=152))

spaces/Ababababababbababa/topic2poem/README.md

@@ -1,14 +0,0 @@
----
-title: Topic2poem
-emoji: 💻
-colorFrom: pink
-colorTo: purple
-sdk: gradio
-sdk_version: 3.2
-app_file: app.py
-pinned: false
-license: afl-3.0
-duplicated_from: Aaaaaaaabdualh/topic2poem
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/Abhimurthy/Phind-Phind-CodeLlama-34B-v1/README.md

@@ -1,12 +0,0 @@
----
-title: Phind Phind CodeLlama 34B V1
-emoji: 🏆
-colorFrom: indigo
-colorTo: pink
-sdk: gradio
-sdk_version: 3.41.2
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

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

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

spaces/AlexWang/lama/fetch_data/places_standard_evaluation_prepare_data.sh

@@ -1,52 +0,0 @@
-# 0. folder preparation
-mkdir -p places_standard_dataset/evaluation/hires/
-mkdir -p places_standard_dataset/evaluation/random_thick_512/
-mkdir -p places_standard_dataset/evaluation/random_thin_512/
-mkdir -p places_standard_dataset/evaluation/random_medium_512/
-mkdir -p places_standard_dataset/evaluation/random_thick_256/
-mkdir -p places_standard_dataset/evaluation/random_thin_256/
-mkdir -p places_standard_dataset/evaluation/random_medium_256/
-
-# 1. sample 2000 new images
-OUT=$(python3 fetch_data/eval_sampler.py)
-echo ${OUT}
-
-FILELIST=$(cat places_standard_dataset/original/eval_random_files.txt)
-for i in $FILELIST
-do
-    $(cp ${i} places_standard_dataset/evaluation/hires/)
-done
-
-
-# 2. generate all kinds of masks
-
-# all 512
-python3 bin/gen_mask_dataset.py \
-$(pwd)/configs/data_gen/random_thick_512.yaml \
-places_standard_dataset/evaluation/hires \
-places_standard_dataset/evaluation/random_thick_512/
-
-python3 bin/gen_mask_dataset.py \
-$(pwd)/configs/data_gen/random_thin_512.yaml \
-places_standard_dataset/evaluation/hires \
-places_standard_dataset/evaluation/random_thin_512/
-
-python3 bin/gen_mask_dataset.py \
-$(pwd)/configs/data_gen/random_medium_512.yaml \
-places_standard_dataset/evaluation/hires \
-places_standard_dataset/evaluation/random_medium_512/
-
-python3 bin/gen_mask_dataset.py \
-$(pwd)/configs/data_gen/random_thick_256.yaml \
-places_standard_dataset/evaluation/hires \
-places_standard_dataset/evaluation/random_thick_256/
-
-python3 bin/gen_mask_dataset.py \
-$(pwd)/configs/data_gen/random_thin_256.yaml \
-places_standard_dataset/evaluation/hires \
-places_standard_dataset/evaluation/random_thin_256/
-
-python3 bin/gen_mask_dataset.py \
-$(pwd)/configs/data_gen/random_medium_256.yaml \
-places_standard_dataset/evaluation/hires \
-places_standard_dataset/evaluation/random_medium_256/

spaces/AlexWang/lama/saicinpainting/training/losses/distance_weighting.py

@@ -1,126 +0,0 @@
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-import torchvision
-
-from saicinpainting.training.losses.perceptual import IMAGENET_STD, IMAGENET_MEAN
-
-
-def dummy_distance_weighter(real_img, pred_img, mask):
-    return mask
-
-
-def get_gauss_kernel(kernel_size, width_factor=1):
-    coords = torch.stack(torch.meshgrid(torch.arange(kernel_size),
-                                        torch.arange(kernel_size)),
-                         dim=0).float()
-    diff = torch.exp(-((coords - kernel_size // 2) ** 2).sum(0) / kernel_size / width_factor)
-    diff /= diff.sum()
-    return diff
-
-
-class BlurMask(nn.Module):
-    def __init__(self, kernel_size=5, width_factor=1):
-        super().__init__()
-        self.filter = nn.Conv2d(1, 1, kernel_size, padding=kernel_size // 2, padding_mode='replicate', bias=False)
-        self.filter.weight.data.copy_(get_gauss_kernel(kernel_size, width_factor=width_factor))
-
-    def forward(self, real_img, pred_img, mask):
-        with torch.no_grad():
-            result = self.filter(mask) * mask
-            return result
-
-
-class EmulatedEDTMask(nn.Module):
-    def __init__(self, dilate_kernel_size=5, blur_kernel_size=5, width_factor=1):
-        super().__init__()
-        self.dilate_filter = nn.Conv2d(1, 1, dilate_kernel_size, padding=dilate_kernel_size// 2, padding_mode='replicate',
-                                       bias=False)
-        self.dilate_filter.weight.data.copy_(torch.ones(1, 1, dilate_kernel_size, dilate_kernel_size, dtype=torch.float))
-        self.blur_filter = nn.Conv2d(1, 1, blur_kernel_size, padding=blur_kernel_size // 2, padding_mode='replicate', bias=False)
-        self.blur_filter.weight.data.copy_(get_gauss_kernel(blur_kernel_size, width_factor=width_factor))
-
-    def forward(self, real_img, pred_img, mask):
-        with torch.no_grad():
-            known_mask = 1 - mask
-            dilated_known_mask = (self.dilate_filter(known_mask) > 1).float()
-            result = self.blur_filter(1 - dilated_known_mask) * mask
-            return result
-
-
-class PropagatePerceptualSim(nn.Module):
-    def __init__(self, level=2, max_iters=10, temperature=500, erode_mask_size=3):
-        super().__init__()
-        vgg = torchvision.models.vgg19(pretrained=True).features
-        vgg_avg_pooling = []
-
-        for weights in vgg.parameters():
-            weights.requires_grad = False
-
-        cur_level_i = 0
-        for module in vgg.modules():
-            if module.__class__.__name__ == 'Sequential':
-                continue
-            elif module.__class__.__name__ == 'MaxPool2d':
-                vgg_avg_pooling.append(nn.AvgPool2d(kernel_size=2, stride=2, padding=0))
-            else:
-                vgg_avg_pooling.append(module)
-                if module.__class__.__name__ == 'ReLU':
-                    cur_level_i += 1
-                if cur_level_i == level:
-                    break
-
-        self.features = nn.Sequential(*vgg_avg_pooling)
-
-        self.max_iters = max_iters
-        self.temperature = temperature
-        self.do_erode = erode_mask_size > 0
-        if self.do_erode:
-            self.erode_mask = nn.Conv2d(1, 1, erode_mask_size, padding=erode_mask_size // 2, bias=False)
-            self.erode_mask.weight.data.fill_(1)
-
-    def forward(self, real_img, pred_img, mask):
-        with torch.no_grad():
-            real_img = (real_img - IMAGENET_MEAN.to(real_img)) / IMAGENET_STD.to(real_img)
-            real_feats = self.features(real_img)
-
-            vertical_sim = torch.exp(-(real_feats[:, :, 1:] - real_feats[:, :, :-1]).pow(2).sum(1, keepdim=True)
-                                     / self.temperature)
-            horizontal_sim = torch.exp(-(real_feats[:, :, :, 1:] - real_feats[:, :, :, :-1]).pow(2).sum(1, keepdim=True)
-                                       / self.temperature)
-
-            mask_scaled = F.interpolate(mask, size=real_feats.shape[-2:], mode='bilinear', align_corners=False)
-            if self.do_erode:
-                mask_scaled = (self.erode_mask(mask_scaled) > 1).float()
-
-            cur_knowness = 1 - mask_scaled
-
-            for iter_i in range(self.max_iters):
-                new_top_knowness = F.pad(cur_knowness[:, :, :-1] * vertical_sim, (0, 0, 1, 0), mode='replicate')
-                new_bottom_knowness = F.pad(cur_knowness[:, :, 1:] * vertical_sim, (0, 0, 0, 1), mode='replicate')
-
-                new_left_knowness = F.pad(cur_knowness[:, :, :, :-1] * horizontal_sim, (1, 0, 0, 0), mode='replicate')
-                new_right_knowness = F.pad(cur_knowness[:, :, :, 1:] * horizontal_sim, (0, 1, 0, 0), mode='replicate')
-
-                new_knowness = torch.stack([new_top_knowness, new_bottom_knowness,
-                                            new_left_knowness, new_right_knowness],
-                                           dim=0).max(0).values
-
-                cur_knowness = torch.max(cur_knowness, new_knowness)
-
-            cur_knowness = F.interpolate(cur_knowness, size=mask.shape[-2:], mode='bilinear')
-            result = torch.min(mask, 1 - cur_knowness)
-
-            return result
-
-
-def make_mask_distance_weighter(kind='none', **kwargs):
-    if kind == 'none':
-        return dummy_distance_weighter
-    if kind == 'blur':
-        return BlurMask(**kwargs)
-    if kind == 'edt':
-        return EmulatedEDTMask(**kwargs)
-    if kind == 'pps':
-        return PropagatePerceptualSim(**kwargs)
-    raise ValueError(f'Unknown mask distance weighter kind {kind}')

spaces/Ammar-alhaj-ali/LayoutLMv3-FUNSD/app.py

@@ -1,111 +0,0 @@
-import os
-os.system('pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu')
-os.system('pip install -q git+https://github.com/huggingface/transformers.git')
-os.system('pip install pytesseract')
-
-
-
-import gradio as gr
-import numpy as np
-from transformers import AutoModelForTokenClassification
-from datasets.features import ClassLabel
-from transformers import AutoProcessor
-from datasets import Features, Sequence, ClassLabel, Value, Array2D, Array3D
-import torch
-from datasets import load_metric
-from transformers import LayoutLMv3ForTokenClassification
-from transformers.data.data_collator import default_data_collator
-
-
-from transformers import AutoModelForTokenClassification
-from datasets import load_dataset
-from PIL import Image, ImageDraw, ImageFont
-
-
-processor = AutoProcessor.from_pretrained("Ammar-alhaj-ali/LayoutLMv3-Fine-Tuning-FUNSD", apply_ocr=True)
-model = AutoModelForTokenClassification.from_pretrained("Ammar-alhaj-ali/LayoutLMv3-Fine-Tuning-FUNSD")
-
-# load image example
-#dataset = load_dataset("nielsr/funsd-layoutlmv3", split="test")
-#Image.open(dataset[2]["image_path"]).convert("RGB").save("img1.png")
-#Image.open(dataset[1]["image_path"]).convert("RGB").save("img2.png")
-#Image.open(dataset[0]["image_path"]).convert("RGB").save("img3.png")
-# define id2label, label2color
-labels = ['O', 'B-HEADER', 'I-HEADER', 'B-QUESTION', 'I-QUESTION', 'B-ANSWER', 'I-ANSWER']
-id2label = {v: k for v, k in enumerate(labels)}
-label2color = {
-    "B-HEADER": 'red',
-    "I-HEADER": 'red',
-    "B-QUESTION": 'red',
-    "I-QUESTION": "red",
-    "B-ANSWER": 'blue',
-    "I-ANSWER": 'blue',
-    "O": 'orange'
-  } 
-
-def unnormalize_box(bbox, width, height):
-     return [
-         width * (bbox[0] / 1000),
-         height * (bbox[1] / 1000),
-         width * (bbox[2] / 1000),
-         height * (bbox[3] / 1000),
-     ]
-
-
-def iob_to_label(label):
-    return label
-
-
-
-def process_image(image):
-
-    print(type(image))
-    width, height = image.size
-
-    # encode
-    encoding = processor(image, truncation=True, return_offsets_mapping=True, return_tensors="pt")
-    offset_mapping = encoding.pop('offset_mapping')
-
-    # forward pass
-    outputs = model(**encoding)
-
-    # get predictions
-    predictions = outputs.logits.argmax(-1).squeeze().tolist()
-    token_boxes = encoding.bbox.squeeze().tolist()
-
-    # only keep non-subword predictions
-    is_subword = np.array(offset_mapping.squeeze().tolist())[:,0] != 0
-    true_predictions = [id2label[pred] for idx, pred in enumerate(predictions) if not is_subword[idx]]
-    true_boxes = [unnormalize_box(box, width, height) for idx, box in enumerate(token_boxes) if not is_subword[idx]]
-
-    # draw predictions over the image
-    draw = ImageDraw.Draw(image)
-    font = ImageFont.load_default()
-    for prediction, box in zip(true_predictions, true_boxes):
-        predicted_label = iob_to_label(prediction)
-        draw.rectangle(box, outline=label2color[predicted_label]) #label2color[predicted_label]
-        draw.text((box[0]+10, box[1]-10), text=predicted_label, fill=label2color[predicted_label], font=font) #label2color[predicted_label]
-    
-    return image
-
-
-title = "Extracting information from FUNSD using the LayoutLMv3 "
-description = "I Fine tuned LayoutLMv3 on FUNSD (Form Understanding in. Noisy Scanned Documents) "
-
-article="<b>References</b><br>[1] Y. Xu et al., “LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking.” 2022. <a href='https://arxiv.org/abs/2204.08387'>Paper Link</a><br>[2]" 
-
-examples =[['img1.png'],['img2.png'],['img3.png']]
-
-css = """.output_image, .input_image {height: 600px !important}"""
-
-iface = gr.Interface(fn=process_image, 
-                     inputs=gr.inputs.Image(type="pil"), 
-                     outputs=gr.outputs.Image(type="pil", label="annotated image"),
-                     title=title,
-                     description=description,
-                     article=article,
-                     examples=examples,
-                     css=css,
-                     analytics_enabled = True, enable_queue=True)
-
-iface.launch(inline=False, share=False, debug=False)

spaces/AnandSoni2001/StockMarket/README.md

@@ -1,12 +0,0 @@
----
-title: StockMarket
-emoji: 🏃
-colorFrom: red
-colorTo: gray
-sdk: streamlit
-sdk_version: 1.17.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/Andy1621/uniformer_image_detection/configs/mask_rcnn/mask_rcnn_x101_32x4d_fpn_2x_coco.py

@@ -1,13 +0,0 @@
-_base_ = './mask_rcnn_r101_fpn_2x_coco.py'
-model = dict(
-    pretrained='open-mmlab://resnext101_32x4d',
-    backbone=dict(
-        type='ResNeXt',
-        depth=101,
-        groups=32,
-        base_width=4,
-        num_stages=4,
-        out_indices=(0, 1, 2, 3),
-        frozen_stages=1,
-        norm_cfg=dict(type='BN', requires_grad=True),
-        style='pytorch'))

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

@@ -1,102 +0,0 @@
-######################## BEGIN LICENSE BLOCK ########################
-# The Original Code is mozilla.org code.
-#
-# The Initial Developer of the Original Code is
-# Netscape Communications Corporation.
-# Portions created by the Initial Developer are Copyright (C) 1998
-# the Initial Developer. All Rights Reserved.
-#
-# Contributor(s):
-#   Mark Pilgrim - port to Python
-#
-# This library is free software; you can redistribute it and/or
-# modify it under the terms of the GNU Lesser General Public
-# License as published by the Free Software Foundation; either
-# version 2.1 of the License, or (at your option) any later version.
-#
-# This library is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
-# Lesser General Public License for more details.
-#
-# You should have received a copy of the GNU Lesser General Public
-# License along with this library; if not, write to the Free Software
-# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
-# 02110-1301  USA
-######################### END LICENSE BLOCK #########################
-
-from typing import Union
-
-from .chardistribution import EUCJPDistributionAnalysis
-from .codingstatemachine import CodingStateMachine
-from .enums import MachineState, ProbingState
-from .jpcntx import EUCJPContextAnalysis
-from .mbcharsetprober import MultiByteCharSetProber
-from .mbcssm import EUCJP_SM_MODEL
-
-
-class EUCJPProber(MultiByteCharSetProber):
-    def __init__(self) -> None:
-        super().__init__()
-        self.coding_sm = CodingStateMachine(EUCJP_SM_MODEL)
-        self.distribution_analyzer = EUCJPDistributionAnalysis()
-        self.context_analyzer = EUCJPContextAnalysis()
-        self.reset()
-
-    def reset(self) -> None:
-        super().reset()
-        self.context_analyzer.reset()
-
-    @property
-    def charset_name(self) -> str:
-        return "EUC-JP"
-
-    @property
-    def language(self) -> str:
-        return "Japanese"
-
-    def feed(self, byte_str: Union[bytes, bytearray]) -> ProbingState:
-        assert self.coding_sm is not None
-        assert self.distribution_analyzer is not None
-
-        for i, byte in enumerate(byte_str):
-            # PY3K: byte_str is a byte array, so byte is an int, not a byte
-            coding_state = self.coding_sm.next_state(byte)
-            if coding_state == MachineState.ERROR:
-                self.logger.debug(
-                    "%s %s prober hit error at byte %s",
-                    self.charset_name,
-                    self.language,
-                    i,
-                )
-                self._state = ProbingState.NOT_ME
-                break
-            if coding_state == MachineState.ITS_ME:
-                self._state = ProbingState.FOUND_IT
-                break
-            if coding_state == MachineState.START:
-                char_len = self.coding_sm.get_current_charlen()
-                if i == 0:
-                    self._last_char[1] = byte
-                    self.context_analyzer.feed(self._last_char, char_len)
-                    self.distribution_analyzer.feed(self._last_char, char_len)
-                else:
-                    self.context_analyzer.feed(byte_str[i - 1 : i + 1], char_len)
-                    self.distribution_analyzer.feed(byte_str[i - 1 : i + 1], char_len)
-
-        self._last_char[0] = byte_str[-1]
-
-        if self.state == ProbingState.DETECTING:
-            if self.context_analyzer.got_enough_data() and (
-                self.get_confidence() > self.SHORTCUT_THRESHOLD
-            ):
-                self._state = ProbingState.FOUND_IT
-
-        return self.state
-
-    def get_confidence(self) -> float:
-        assert self.distribution_analyzer is not None
-
-        context_conf = self.context_analyzer.get_confidence()
-        distrib_conf = self.distribution_analyzer.get_confidence()
-        return max(context_conf, distrib_conf)

spaces/Ataturk-Chatbot/HuggingFaceChat/venv/lib/python3.11/site-packages/pkg_resources/_vendor/packaging/version.py

@@ -1,504 +0,0 @@
-# This file is dual licensed under the terms of the Apache License, Version
-# 2.0, and the BSD License. See the LICENSE file in the root of this repository
-# for complete details.
-
-import collections
-import itertools
-import re
-import warnings
-from typing import Callable, Iterator, List, Optional, SupportsInt, Tuple, Union
-
-from ._structures import Infinity, InfinityType, NegativeInfinity, NegativeInfinityType
-
-__all__ = ["parse", "Version", "LegacyVersion", "InvalidVersion", "VERSION_PATTERN"]
-
-InfiniteTypes = Union[InfinityType, NegativeInfinityType]
-PrePostDevType = Union[InfiniteTypes, Tuple[str, int]]
-SubLocalType = Union[InfiniteTypes, int, str]
-LocalType = Union[
-    NegativeInfinityType,
-    Tuple[
-        Union[
-            SubLocalType,
-            Tuple[SubLocalType, str],
-            Tuple[NegativeInfinityType, SubLocalType],
-        ],
-        ...,
-    ],
-]
-CmpKey = Tuple[
-    int, Tuple[int, ...], PrePostDevType, PrePostDevType, PrePostDevType, LocalType
-]
-LegacyCmpKey = Tuple[int, Tuple[str, ...]]
-VersionComparisonMethod = Callable[
-    [Union[CmpKey, LegacyCmpKey], Union[CmpKey, LegacyCmpKey]], bool
-]
-
-_Version = collections.namedtuple(
-    "_Version", ["epoch", "release", "dev", "pre", "post", "local"]
-)
-
-
-def parse(version: str) -> Union["LegacyVersion", "Version"]:
-    """
-    Parse the given version string and return either a :class:`Version` object
-    or a :class:`LegacyVersion` object depending on if the given version is
-    a valid PEP 440 version or a legacy version.
-    """
-    try:
-        return Version(version)
-    except InvalidVersion:
-        return LegacyVersion(version)
-
-
-class InvalidVersion(ValueError):
-    """
-    An invalid version was found, users should refer to PEP 440.
-    """
-
-
-class _BaseVersion:
-    _key: Union[CmpKey, LegacyCmpKey]
-
-    def __hash__(self) -> int:
-        return hash(self._key)
-
-    # Please keep the duplicated `isinstance` check
-    # in the six comparisons hereunder
-    # unless you find a way to avoid adding overhead function calls.
-    def __lt__(self, other: "_BaseVersion") -> bool:
-        if not isinstance(other, _BaseVersion):
-            return NotImplemented
-
-        return self._key < other._key
-
-    def __le__(self, other: "_BaseVersion") -> bool:
-        if not isinstance(other, _BaseVersion):
-            return NotImplemented
-
-        return self._key <= other._key
-
-    def __eq__(self, other: object) -> bool:
-        if not isinstance(other, _BaseVersion):
-            return NotImplemented
-
-        return self._key == other._key
-
-    def __ge__(self, other: "_BaseVersion") -> bool:
-        if not isinstance(other, _BaseVersion):
-            return NotImplemented
-
-        return self._key >= other._key
-
-    def __gt__(self, other: "_BaseVersion") -> bool:
-        if not isinstance(other, _BaseVersion):
-            return NotImplemented
-
-        return self._key > other._key
-
-    def __ne__(self, other: object) -> bool:
-        if not isinstance(other, _BaseVersion):
-            return NotImplemented
-
-        return self._key != other._key
-
-
-class LegacyVersion(_BaseVersion):
-    def __init__(self, version: str) -> None:
-        self._version = str(version)
-        self._key = _legacy_cmpkey(self._version)
-
-        warnings.warn(
-            "Creating a LegacyVersion has been deprecated and will be "
-            "removed in the next major release",
-            DeprecationWarning,
-        )
-
-    def __str__(self) -> str:
-        return self._version
-
-    def __repr__(self) -> str:
-        return f"<LegacyVersion('{self}')>"
-
-    @property
-    def public(self) -> str:
-        return self._version
-
-    @property
-    def base_version(self) -> str:
-        return self._version
-
-    @property
-    def epoch(self) -> int:
-        return -1
-
-    @property
-    def release(self) -> None:
-        return None
-
-    @property
-    def pre(self) -> None:
-        return None
-
-    @property
-    def post(self) -> None:
-        return None
-
-    @property
-    def dev(self) -> None:
-        return None
-
-    @property
-    def local(self) -> None:
-        return None
-
-    @property
-    def is_prerelease(self) -> bool:
-        return False
-
-    @property
-    def is_postrelease(self) -> bool:
-        return False
-
-    @property
-    def is_devrelease(self) -> bool:
-        return False
-
-
-_legacy_version_component_re = re.compile(r"(\d+ | [a-z]+ | \.| -)", re.VERBOSE)
-
-_legacy_version_replacement_map = {
-    "pre": "c",
-    "preview": "c",
-    "-": "final-",
-    "rc": "c",
-    "dev": "@",
-}
-
-
-def _parse_version_parts(s: str) -> Iterator[str]:
-    for part in _legacy_version_component_re.split(s):
-        part = _legacy_version_replacement_map.get(part, part)
-
-        if not part or part == ".":
-            continue
-
-        if part[:1] in "0123456789":
-            # pad for numeric comparison
-            yield part.zfill(8)
-        else:
-            yield "*" + part
-
-    # ensure that alpha/beta/candidate are before final
-    yield "*final"
-
-
-def _legacy_cmpkey(version: str) -> LegacyCmpKey:
-
-    # We hardcode an epoch of -1 here. A PEP 440 version can only have a epoch
-    # greater than or equal to 0. This will effectively put the LegacyVersion,
-    # which uses the defacto standard originally implemented by setuptools,
-    # as before all PEP 440 versions.
-    epoch = -1
-
-    # This scheme is taken from pkg_resources.parse_version setuptools prior to
-    # it's adoption of the packaging library.
-    parts: List[str] = []
-    for part in _parse_version_parts(version.lower()):
-        if part.startswith("*"):
-            # remove "-" before a prerelease tag
-            if part < "*final":
-                while parts and parts[-1] == "*final-":
-                    parts.pop()
-
-            # remove trailing zeros from each series of numeric parts
-            while parts and parts[-1] == "00000000":
-                parts.pop()
-
-        parts.append(part)
-
-    return epoch, tuple(parts)
-
-
-# Deliberately not anchored to the start and end of the string, to make it
-# easier for 3rd party code to reuse
-VERSION_PATTERN = r"""
-    v?
-    (?:
-        (?:(?P<epoch>[0-9]+)!)?                           # epoch
-        (?P<release>[0-9]+(?:\.[0-9]+)*)                  # release segment
-        (?P<pre>                                          # pre-release
-            [-_\.]?
-            (?P<pre_l>(a|b|c|rc|alpha|beta|pre|preview))
-            [-_\.]?
-            (?P<pre_n>[0-9]+)?
-        )?
-        (?P<post>                                         # post release
-            (?:-(?P<post_n1>[0-9]+))
-            |
-            (?:
-                [-_\.]?
-                (?P<post_l>post|rev|r)
-                [-_\.]?
-                (?P<post_n2>[0-9]+)?
-            )
-        )?
-        (?P<dev>                                          # dev release
-            [-_\.]?
-            (?P<dev_l>dev)
-            [-_\.]?
-            (?P<dev_n>[0-9]+)?
-        )?
-    )
-    (?:\+(?P<local>[a-z0-9]+(?:[-_\.][a-z0-9]+)*))?       # local version
-"""
-
-
-class Version(_BaseVersion):
-
-    _regex = re.compile(r"^\s*" + VERSION_PATTERN + r"\s*$", re.VERBOSE | re.IGNORECASE)
-
-    def __init__(self, version: str) -> None:
-
-        # Validate the version and parse it into pieces
-        match = self._regex.search(version)
-        if not match:
-            raise InvalidVersion(f"Invalid version: '{version}'")
-
-        # Store the parsed out pieces of the version
-        self._version = _Version(
-            epoch=int(match.group("epoch")) if match.group("epoch") else 0,
-            release=tuple(int(i) for i in match.group("release").split(".")),
-            pre=_parse_letter_version(match.group("pre_l"), match.group("pre_n")),
-            post=_parse_letter_version(
-                match.group("post_l"), match.group("post_n1") or match.group("post_n2")
-            ),
-            dev=_parse_letter_version(match.group("dev_l"), match.group("dev_n")),
-            local=_parse_local_version(match.group("local")),
-        )
-
-        # Generate a key which will be used for sorting
-        self._key = _cmpkey(
-            self._version.epoch,
-            self._version.release,
-            self._version.pre,
-            self._version.post,
-            self._version.dev,
-            self._version.local,
-        )
-
-    def __repr__(self) -> str:
-        return f"<Version('{self}')>"
-
-    def __str__(self) -> str:
-        parts = []
-
-        # Epoch
-        if self.epoch != 0:
-            parts.append(f"{self.epoch}!")
-
-        # Release segment
-        parts.append(".".join(str(x) for x in self.release))
-
-        # Pre-release
-        if self.pre is not None:
-            parts.append("".join(str(x) for x in self.pre))
-
-        # Post-release
-        if self.post is not None:
-            parts.append(f".post{self.post}")
-
-        # Development release
-        if self.dev is not None:
-            parts.append(f".dev{self.dev}")
-
-        # Local version segment
-        if self.local is not None:
-            parts.append(f"+{self.local}")
-
-        return "".join(parts)
-
-    @property
-    def epoch(self) -> int:
-        _epoch: int = self._version.epoch
-        return _epoch
-
-    @property
-    def release(self) -> Tuple[int, ...]:
-        _release: Tuple[int, ...] = self._version.release
-        return _release
-
-    @property
-    def pre(self) -> Optional[Tuple[str, int]]:
-        _pre: Optional[Tuple[str, int]] = self._version.pre
-        return _pre
-
-    @property
-    def post(self) -> Optional[int]:
-        return self._version.post[1] if self._version.post else None
-
-    @property
-    def dev(self) -> Optional[int]:
-        return self._version.dev[1] if self._version.dev else None
-
-    @property
-    def local(self) -> Optional[str]:
-        if self._version.local:
-            return ".".join(str(x) for x in self._version.local)
-        else:
-            return None
-
-    @property
-    def public(self) -> str:
-        return str(self).split("+", 1)[0]
-
-    @property
-    def base_version(self) -> str:
-        parts = []
-
-        # Epoch
-        if self.epoch != 0:
-            parts.append(f"{self.epoch}!")
-
-        # Release segment
-        parts.append(".".join(str(x) for x in self.release))
-
-        return "".join(parts)
-
-    @property
-    def is_prerelease(self) -> bool:
-        return self.dev is not None or self.pre is not None
-
-    @property
-    def is_postrelease(self) -> bool:
-        return self.post is not None
-
-    @property
-    def is_devrelease(self) -> bool:
-        return self.dev is not None
-
-    @property
-    def major(self) -> int:
-        return self.release[0] if len(self.release) >= 1 else 0
-
-    @property
-    def minor(self) -> int:
-        return self.release[1] if len(self.release) >= 2 else 0
-
-    @property
-    def micro(self) -> int:
-        return self.release[2] if len(self.release) >= 3 else 0
-
-
-def _parse_letter_version(
-    letter: str, number: Union[str, bytes, SupportsInt]
-) -> Optional[Tuple[str, int]]:
-
-    if letter:
-        # We consider there to be an implicit 0 in a pre-release if there is
-        # not a numeral associated with it.
-        if number is None:
-            number = 0
-
-        # We normalize any letters to their lower case form
-        letter = letter.lower()
-
-        # We consider some words to be alternate spellings of other words and
-        # in those cases we want to normalize the spellings to our preferred
-        # spelling.
-        if letter == "alpha":
-            letter = "a"
-        elif letter == "beta":
-            letter = "b"
-        elif letter in ["c", "pre", "preview"]:
-            letter = "rc"
-        elif letter in ["rev", "r"]:
-            letter = "post"
-
-        return letter, int(number)
-    if not letter and number:
-        # We assume if we are given a number, but we are not given a letter
-        # then this is using the implicit post release syntax (e.g. 1.0-1)
-        letter = "post"
-
-        return letter, int(number)
-
-    return None
-
-
-_local_version_separators = re.compile(r"[\._-]")
-
-
-def _parse_local_version(local: str) -> Optional[LocalType]:
-    """
-    Takes a string like abc.1.twelve and turns it into ("abc", 1, "twelve").
-    """
-    if local is not None:
-        return tuple(
-            part.lower() if not part.isdigit() else int(part)
-            for part in _local_version_separators.split(local)
-        )
-    return None
-
-
-def _cmpkey(
-    epoch: int,
-    release: Tuple[int, ...],
-    pre: Optional[Tuple[str, int]],
-    post: Optional[Tuple[str, int]],
-    dev: Optional[Tuple[str, int]],
-    local: Optional[Tuple[SubLocalType]],
-) -> CmpKey:
-
-    # When we compare a release version, we want to compare it with all of the
-    # trailing zeros removed. So we'll use a reverse the list, drop all the now
-    # leading zeros until we come to something non zero, then take the rest
-    # re-reverse it back into the correct order and make it a tuple and use
-    # that for our sorting key.
-    _release = tuple(
-        reversed(list(itertools.dropwhile(lambda x: x == 0, reversed(release))))
-    )
-
-    # We need to "trick" the sorting algorithm to put 1.0.dev0 before 1.0a0.
-    # We'll do this by abusing the pre segment, but we _only_ want to do this
-    # if there is not a pre or a post segment. If we have one of those then
-    # the normal sorting rules will handle this case correctly.
-    if pre is None and post is None and dev is not None:
-        _pre: PrePostDevType = NegativeInfinity
-    # Versions without a pre-release (except as noted above) should sort after
-    # those with one.
-    elif pre is None:
-        _pre = Infinity
-    else:
-        _pre = pre
-
-    # Versions without a post segment should sort before those with one.
-    if post is None:
-        _post: PrePostDevType = NegativeInfinity
-
-    else:
-        _post = post
-
-    # Versions without a development segment should sort after those with one.
-    if dev is None:
-        _dev: PrePostDevType = Infinity
-
-    else:
-        _dev = dev
-
-    if local is None:
-        # Versions without a local segment should sort before those with one.
-        _local: LocalType = NegativeInfinity
-    else:
-        # Versions with a local segment need that segment parsed to implement
-        # the sorting rules in PEP440.
-        # - Alpha numeric segments sort before numeric segments
-        # - Alpha numeric segments sort lexicographically
-        # - Numeric segments sort numerically
-        # - Shorter versions sort before longer versions when the prefixes
-        #   match exactly
-        _local = tuple(
-            (i, "") if isinstance(i, int) else (NegativeInfinity, i) for i in local
-        )
-
-    return epoch, _release, _pre, _post, _dev, _local

spaces/Ataturk-Chatbot/HuggingFaceChat/venv/lib/python3.11/site-packages/setuptools/command/egg_info.py

@@ -1,763 +0,0 @@
-"""setuptools.command.egg_info
-
-Create a distribution's .egg-info directory and contents"""
-
-from distutils.filelist import FileList as _FileList
-from distutils.errors import DistutilsInternalError
-from distutils.util import convert_path
-from distutils import log
-import distutils.errors
-import distutils.filelist
-import functools
-import os
-import re
-import sys
-import io
-import warnings
-import time
-import collections
-
-from .._importlib import metadata
-from .. import _entry_points
-
-from setuptools import Command
-from setuptools.command.sdist import sdist
-from setuptools.command.sdist import walk_revctrl
-from setuptools.command.setopt import edit_config
-from setuptools.command import bdist_egg
-from pkg_resources import (
-    Requirement, safe_name, parse_version,
-    safe_version, to_filename)
-import setuptools.unicode_utils as unicode_utils
-from setuptools.glob import glob
-
-from setuptools.extern import packaging
-from setuptools.extern.jaraco.text import yield_lines
-from setuptools import SetuptoolsDeprecationWarning
-
-
-def translate_pattern(glob):  # noqa: C901  # is too complex (14)  # FIXME
-    """
-    Translate a file path glob like '*.txt' in to a regular expression.
-    This differs from fnmatch.translate which allows wildcards to match
-    directory separators. It also knows about '**/' which matches any number of
-    directories.
-    """
-    pat = ''
-
-    # This will split on '/' within [character classes]. This is deliberate.
-    chunks = glob.split(os.path.sep)
-
-    sep = re.escape(os.sep)
-    valid_char = '[^%s]' % (sep,)
-
-    for c, chunk in enumerate(chunks):
-        last_chunk = c == len(chunks) - 1
-
-        # Chunks that are a literal ** are globstars. They match anything.
-        if chunk == '**':
-            if last_chunk:
-                # Match anything if this is the last component
-                pat += '.*'
-            else:
-                # Match '(name/)*'
-                pat += '(?:%s+%s)*' % (valid_char, sep)
-            continue  # Break here as the whole path component has been handled
-
-        # Find any special characters in the remainder
-        i = 0
-        chunk_len = len(chunk)
-        while i < chunk_len:
-            char = chunk[i]
-            if char == '*':
-                # Match any number of name characters
-                pat += valid_char + '*'
-            elif char == '?':
-                # Match a name character
-                pat += valid_char
-            elif char == '[':
-                # Character class
-                inner_i = i + 1
-                # Skip initial !/] chars
-                if inner_i < chunk_len and chunk[inner_i] == '!':
-                    inner_i = inner_i + 1
-                if inner_i < chunk_len and chunk[inner_i] == ']':
-                    inner_i = inner_i + 1
-
-                # Loop till the closing ] is found
-                while inner_i < chunk_len and chunk[inner_i] != ']':
-                    inner_i = inner_i + 1
-
-                if inner_i >= chunk_len:
-                    # Got to the end of the string without finding a closing ]
-                    # Do not treat this as a matching group, but as a literal [
-                    pat += re.escape(char)
-                else:
-                    # Grab the insides of the [brackets]
-                    inner = chunk[i + 1:inner_i]
-                    char_class = ''
-
-                    # Class negation
-                    if inner[0] == '!':
-                        char_class = '^'
-                        inner = inner[1:]
-
-                    char_class += re.escape(inner)
-                    pat += '[%s]' % (char_class,)
-
-                    # Skip to the end ]
-                    i = inner_i
-            else:
-                pat += re.escape(char)
-            i += 1
-
-        # Join each chunk with the dir separator
-        if not last_chunk:
-            pat += sep
-
-    pat += r'\Z'
-    return re.compile(pat, flags=re.MULTILINE | re.DOTALL)
-
-
-class InfoCommon:
-    tag_build = None
-    tag_date = None
-
-    @property
-    def name(self):
-        return safe_name(self.distribution.get_name())
-
-    def tagged_version(self):
-        return safe_version(self._maybe_tag(self.distribution.get_version()))
-
-    def _maybe_tag(self, version):
-        """
-        egg_info may be called more than once for a distribution,
-        in which case the version string already contains all tags.
-        """
-        return (
-            version if self.vtags and self._already_tagged(version)
-            else version + self.vtags
-        )
-
-    def _already_tagged(self, version: str) -> bool:
-        # Depending on their format, tags may change with version normalization.
-        # So in addition the regular tags, we have to search for the normalized ones.
-        return version.endswith(self.vtags) or version.endswith(self._safe_tags())
-
-    def _safe_tags(self) -> str:
-        # To implement this we can rely on `safe_version` pretending to be version 0
-        # followed by tags. Then we simply discard the starting 0 (fake version number)
-        return safe_version(f"0{self.vtags}")[1:]
-
-    def tags(self) -> str:
-        version = ''
-        if self.tag_build:
-            version += self.tag_build
-        if self.tag_date:
-            version += time.strftime("-%Y%m%d")
-        return version
-    vtags = property(tags)
-
-
-class egg_info(InfoCommon, Command):
-    description = "create a distribution's .egg-info directory"
-
-    user_options = [
-        ('egg-base=', 'e', "directory containing .egg-info directories"
-                           " (default: top of the source tree)"),
-        ('tag-date', 'd', "Add date stamp (e.g. 20050528) to version number"),
-        ('tag-build=', 'b', "Specify explicit tag to add to version number"),
-        ('no-date', 'D', "Don't include date stamp [default]"),
-    ]
-
-    boolean_options = ['tag-date']
-    negative_opt = {
-        'no-date': 'tag-date',
-    }
-
-    def initialize_options(self):
-        self.egg_base = None
-        self.egg_name = None
-        self.egg_info = None
-        self.egg_version = None
-        self.broken_egg_info = False
-        self.ignore_egg_info_in_manifest = False
-
-    ####################################
-    # allow the 'tag_svn_revision' to be detected and
-    # set, supporting sdists built on older Setuptools.
-    @property
-    def tag_svn_revision(self):
-        pass
-
-    @tag_svn_revision.setter
-    def tag_svn_revision(self, value):
-        pass
-    ####################################
-
-    def save_version_info(self, filename):
-        """
-        Materialize the value of date into the
-        build tag. Install build keys in a deterministic order
-        to avoid arbitrary reordering on subsequent builds.
-        """
-        egg_info = collections.OrderedDict()
-        # follow the order these keys would have been added
-        # when PYTHONHASHSEED=0
-        egg_info['tag_build'] = self.tags()
-        egg_info['tag_date'] = 0
-        edit_config(filename, dict(egg_info=egg_info))
-
-    def finalize_options(self):
-        # Note: we need to capture the current value returned
-        # by `self.tagged_version()`, so we can later update
-        # `self.distribution.metadata.version` without
-        # repercussions.
-        self.egg_name = self.name
-        self.egg_version = self.tagged_version()
-        parsed_version = parse_version(self.egg_version)
-
-        try:
-            is_version = isinstance(parsed_version, packaging.version.Version)
-            spec = "%s==%s" if is_version else "%s===%s"
-            Requirement(spec % (self.egg_name, self.egg_version))
-        except ValueError as e:
-            raise distutils.errors.DistutilsOptionError(
-                "Invalid distribution name or version syntax: %s-%s" %
-                (self.egg_name, self.egg_version)
-            ) from e
-
-        if self.egg_base is None:
-            dirs = self.distribution.package_dir
-            self.egg_base = (dirs or {}).get('', os.curdir)
-
-        self.ensure_dirname('egg_base')
-        self.egg_info = to_filename(self.egg_name) + '.egg-info'
-        if self.egg_base != os.curdir:
-            self.egg_info = os.path.join(self.egg_base, self.egg_info)
-        if '-' in self.egg_name:
-            self.check_broken_egg_info()
-
-        # Set package version for the benefit of dumber commands
-        # (e.g. sdist, bdist_wininst, etc.)
-        #
-        self.distribution.metadata.version = self.egg_version
-
-        # If we bootstrapped around the lack of a PKG-INFO, as might be the
-        # case in a fresh checkout, make sure that any special tags get added
-        # to the version info
-        #
-        pd = self.distribution._patched_dist
-        if pd is not None and pd.key == self.egg_name.lower():
-            pd._version = self.egg_version
-            pd._parsed_version = parse_version(self.egg_version)
-            self.distribution._patched_dist = None
-
-    def write_or_delete_file(self, what, filename, data, force=False):
-        """Write `data` to `filename` or delete if empty
-
-        If `data` is non-empty, this routine is the same as ``write_file()``.
-        If `data` is empty but not ``None``, this is the same as calling
-        ``delete_file(filename)`.  If `data` is ``None``, then this is a no-op
-        unless `filename` exists, in which case a warning is issued about the
-        orphaned file (if `force` is false), or deleted (if `force` is true).
-        """
-        if data:
-            self.write_file(what, filename, data)
-        elif os.path.exists(filename):
-            if data is None and not force:
-                log.warn(
-                    "%s not set in setup(), but %s exists", what, filename
-                )
-                return
-            else:
-                self.delete_file(filename)
-
-    def write_file(self, what, filename, data):
-        """Write `data` to `filename` (if not a dry run) after announcing it
-
-        `what` is used in a log message to identify what is being written
-        to the file.
-        """
-        log.info("writing %s to %s", what, filename)
-        data = data.encode("utf-8")
-        if not self.dry_run:
-            f = open(filename, 'wb')
-            f.write(data)
-            f.close()
-
-    def delete_file(self, filename):
-        """Delete `filename` (if not a dry run) after announcing it"""
-        log.info("deleting %s", filename)
-        if not self.dry_run:
-            os.unlink(filename)
-
-    def run(self):
-        self.mkpath(self.egg_info)
-        os.utime(self.egg_info, None)
-        for ep in metadata.entry_points(group='egg_info.writers'):
-            writer = ep.load()
-            writer(self, ep.name, os.path.join(self.egg_info, ep.name))
-
-        # Get rid of native_libs.txt if it was put there by older bdist_egg
-        nl = os.path.join(self.egg_info, "native_libs.txt")
-        if os.path.exists(nl):
-            self.delete_file(nl)
-
-        self.find_sources()
-
-    def find_sources(self):
-        """Generate SOURCES.txt manifest file"""
-        manifest_filename = os.path.join(self.egg_info, "SOURCES.txt")
-        mm = manifest_maker(self.distribution)
-        mm.ignore_egg_info_dir = self.ignore_egg_info_in_manifest
-        mm.manifest = manifest_filename
-        mm.run()
-        self.filelist = mm.filelist
-
-    def check_broken_egg_info(self):
-        bei = self.egg_name + '.egg-info'
-        if self.egg_base != os.curdir:
-            bei = os.path.join(self.egg_base, bei)
-        if os.path.exists(bei):
-            log.warn(
-                "-" * 78 + '\n'
-                "Note: Your current .egg-info directory has a '-' in its name;"
-                '\nthis will not work correctly with "setup.py develop".\n\n'
-                'Please rename %s to %s to correct this problem.\n' + '-' * 78,
-                bei, self.egg_info
-            )
-            self.broken_egg_info = self.egg_info
-            self.egg_info = bei  # make it work for now
-
-
-class FileList(_FileList):
-    # Implementations of the various MANIFEST.in commands
-
-    def __init__(self, warn=None, debug_print=None, ignore_egg_info_dir=False):
-        super().__init__(warn, debug_print)
-        self.ignore_egg_info_dir = ignore_egg_info_dir
-
-    def process_template_line(self, line):
-        # Parse the line: split it up, make sure the right number of words
-        # is there, and return the relevant words.  'action' is always
-        # defined: it's the first word of the line.  Which of the other
-        # three are defined depends on the action; it'll be either
-        # patterns, (dir and patterns), or (dir_pattern).
-        (action, patterns, dir, dir_pattern) = self._parse_template_line(line)
-
-        action_map = {
-            'include': self.include,
-            'exclude': self.exclude,
-            'global-include': self.global_include,
-            'global-exclude': self.global_exclude,
-            'recursive-include': functools.partial(
-                self.recursive_include, dir,
-            ),
-            'recursive-exclude': functools.partial(
-                self.recursive_exclude, dir,
-            ),
-            'graft': self.graft,
-            'prune': self.prune,
-        }
-        log_map = {
-            'include': "warning: no files found matching '%s'",
-            'exclude': (
-                "warning: no previously-included files found "
-                "matching '%s'"
-            ),
-            'global-include': (
-                "warning: no files found matching '%s' "
-                "anywhere in distribution"
-            ),
-            'global-exclude': (
-                "warning: no previously-included files matching "
-                "'%s' found anywhere in distribution"
-            ),
-            'recursive-include': (
-                "warning: no files found matching '%s' "
-                "under directory '%s'"
-            ),
-            'recursive-exclude': (
-                "warning: no previously-included files matching "
-                "'%s' found under directory '%s'"
-            ),
-            'graft': "warning: no directories found matching '%s'",
-            'prune': "no previously-included directories found matching '%s'",
-        }
-
-        try:
-            process_action = action_map[action]
-        except KeyError:
-            raise DistutilsInternalError(
-                "this cannot happen: invalid action '{action!s}'".
-                format(action=action),
-            )
-
-        # OK, now we know that the action is valid and we have the
-        # right number of words on the line for that action -- so we
-        # can proceed with minimal error-checking.
-
-        action_is_recursive = action.startswith('recursive-')
-        if action in {'graft', 'prune'}:
-            patterns = [dir_pattern]
-        extra_log_args = (dir, ) if action_is_recursive else ()
-        log_tmpl = log_map[action]
-
-        self.debug_print(
-            ' '.join(
-                [action] +
-                ([dir] if action_is_recursive else []) +
-                patterns,
-            )
-        )
-        for pattern in patterns:
-            if not process_action(pattern):
-                log.warn(log_tmpl, pattern, *extra_log_args)
-
-    def _remove_files(self, predicate):
-        """
-        Remove all files from the file list that match the predicate.
-        Return True if any matching files were removed
-        """
-        found = False
-        for i in range(len(self.files) - 1, -1, -1):
-            if predicate(self.files[i]):
-                self.debug_print(" removing " + self.files[i])
-                del self.files[i]
-                found = True
-        return found
-
-    def include(self, pattern):
-        """Include files that match 'pattern'."""
-        found = [f for f in glob(pattern) if not os.path.isdir(f)]
-        self.extend(found)
-        return bool(found)
-
-    def exclude(self, pattern):
-        """Exclude files that match 'pattern'."""
-        match = translate_pattern(pattern)
-        return self._remove_files(match.match)
-
-    def recursive_include(self, dir, pattern):
-        """
-        Include all files anywhere in 'dir/' that match the pattern.
-        """
-        full_pattern = os.path.join(dir, '**', pattern)
-        found = [f for f in glob(full_pattern, recursive=True)
-                 if not os.path.isdir(f)]
-        self.extend(found)
-        return bool(found)
-
-    def recursive_exclude(self, dir, pattern):
-        """
-        Exclude any file anywhere in 'dir/' that match the pattern.
-        """
-        match = translate_pattern(os.path.join(dir, '**', pattern))
-        return self._remove_files(match.match)
-
-    def graft(self, dir):
-        """Include all files from 'dir/'."""
-        found = [
-            item
-            for match_dir in glob(dir)
-            for item in distutils.filelist.findall(match_dir)
-        ]
-        self.extend(found)
-        return bool(found)
-
-    def prune(self, dir):
-        """Filter out files from 'dir/'."""
-        match = translate_pattern(os.path.join(dir, '**'))
-        return self._remove_files(match.match)
-
-    def global_include(self, pattern):
-        """
-        Include all files anywhere in the current directory that match the
-        pattern. This is very inefficient on large file trees.
-        """
-        if self.allfiles is None:
-            self.findall()
-        match = translate_pattern(os.path.join('**', pattern))
-        found = [f for f in self.allfiles if match.match(f)]
-        self.extend(found)
-        return bool(found)
-
-    def global_exclude(self, pattern):
-        """
-        Exclude all files anywhere that match the pattern.
-        """
-        match = translate_pattern(os.path.join('**', pattern))
-        return self._remove_files(match.match)
-
-    def append(self, item):
-        if item.endswith('\r'):  # Fix older sdists built on Windows
-            item = item[:-1]
-        path = convert_path(item)
-
-        if self._safe_path(path):
-            self.files.append(path)
-
-    def extend(self, paths):
-        self.files.extend(filter(self._safe_path, paths))
-
-    def _repair(self):
-        """
-        Replace self.files with only safe paths
-
-        Because some owners of FileList manipulate the underlying
-        ``files`` attribute directly, this method must be called to
-        repair those paths.
-        """
-        self.files = list(filter(self._safe_path, self.files))
-
-    def _safe_path(self, path):
-        enc_warn = "'%s' not %s encodable -- skipping"
-
-        # To avoid accidental trans-codings errors, first to unicode
-        u_path = unicode_utils.filesys_decode(path)
-        if u_path is None:
-            log.warn("'%s' in unexpected encoding -- skipping" % path)
-            return False
-
-        # Must ensure utf-8 encodability
-        utf8_path = unicode_utils.try_encode(u_path, "utf-8")
-        if utf8_path is None:
-            log.warn(enc_warn, path, 'utf-8')
-            return False
-
-        try:
-            # ignore egg-info paths
-            is_egg_info = ".egg-info" in u_path or b".egg-info" in utf8_path
-            if self.ignore_egg_info_dir and is_egg_info:
-                return False
-            # accept is either way checks out
-            if os.path.exists(u_path) or os.path.exists(utf8_path):
-                return True
-        # this will catch any encode errors decoding u_path
-        except UnicodeEncodeError:
-            log.warn(enc_warn, path, sys.getfilesystemencoding())
-
-
-class manifest_maker(sdist):
-    template = "MANIFEST.in"
-
-    def initialize_options(self):
-        self.use_defaults = 1
-        self.prune = 1
-        self.manifest_only = 1
-        self.force_manifest = 1
-        self.ignore_egg_info_dir = False
-
-    def finalize_options(self):
-        pass
-
-    def run(self):
-        self.filelist = FileList(ignore_egg_info_dir=self.ignore_egg_info_dir)
-        if not os.path.exists(self.manifest):
-            self.write_manifest()  # it must exist so it'll get in the list
-        self.add_defaults()
-        if os.path.exists(self.template):
-            self.read_template()
-        self.add_license_files()
-        self.prune_file_list()
-        self.filelist.sort()
-        self.filelist.remove_duplicates()
-        self.write_manifest()
-
-    def _manifest_normalize(self, path):
-        path = unicode_utils.filesys_decode(path)
-        return path.replace(os.sep, '/')
-
-    def write_manifest(self):
-        """
-        Write the file list in 'self.filelist' to the manifest file
-        named by 'self.manifest'.
-        """
-        self.filelist._repair()
-
-        # Now _repairs should encodability, but not unicode
-        files = [self._manifest_normalize(f) for f in self.filelist.files]
-        msg = "writing manifest file '%s'" % self.manifest
-        self.execute(write_file, (self.manifest, files), msg)
-
-    def warn(self, msg):
-        if not self._should_suppress_warning(msg):
-            sdist.warn(self, msg)
-
-    @staticmethod
-    def _should_suppress_warning(msg):
-        """
-        suppress missing-file warnings from sdist
-        """
-        return re.match(r"standard file .*not found", msg)
-
-    def add_defaults(self):
-        sdist.add_defaults(self)
-        self.filelist.append(self.template)
-        self.filelist.append(self.manifest)
-        rcfiles = list(walk_revctrl())
-        if rcfiles:
-            self.filelist.extend(rcfiles)
-        elif os.path.exists(self.manifest):
-            self.read_manifest()
-
-        if os.path.exists("setup.py"):
-            # setup.py should be included by default, even if it's not
-            # the script called to create the sdist
-            self.filelist.append("setup.py")
-
-        ei_cmd = self.get_finalized_command('egg_info')
-        self.filelist.graft(ei_cmd.egg_info)
-
-    def add_license_files(self):
-        license_files = self.distribution.metadata.license_files or []
-        for lf in license_files:
-            log.info("adding license file '%s'", lf)
-            pass
-        self.filelist.extend(license_files)
-
-    def prune_file_list(self):
-        build = self.get_finalized_command('build')
-        base_dir = self.distribution.get_fullname()
-        self.filelist.prune(build.build_base)
-        self.filelist.prune(base_dir)
-        sep = re.escape(os.sep)
-        self.filelist.exclude_pattern(r'(^|' + sep + r')(RCS|CVS|\.svn)' + sep,
-                                      is_regex=1)
-
-    def _safe_data_files(self, build_py):
-        """
-        The parent class implementation of this method
-        (``sdist``) will try to include data files, which
-        might cause recursion problems when
-        ``include_package_data=True``.
-
-        Therefore, avoid triggering any attempt of
-        analyzing/building the manifest again.
-        """
-        if hasattr(build_py, 'get_data_files_without_manifest'):
-            return build_py.get_data_files_without_manifest()
-
-        warnings.warn(
-            "Custom 'build_py' does not implement "
-            "'get_data_files_without_manifest'.\nPlease extend command classes"
-            " from setuptools instead of distutils.",
-            SetuptoolsDeprecationWarning
-        )
-        return build_py.get_data_files()
-
-
-def write_file(filename, contents):
-    """Create a file with the specified name and write 'contents' (a
-    sequence of strings without line terminators) to it.
-    """
-    contents = "\n".join(contents)
-
-    # assuming the contents has been vetted for utf-8 encoding
-    contents = contents.encode("utf-8")
-
-    with open(filename, "wb") as f:  # always write POSIX-style manifest
-        f.write(contents)
-
-
-def write_pkg_info(cmd, basename, filename):
-    log.info("writing %s", filename)
-    if not cmd.dry_run:
-        metadata = cmd.distribution.metadata
-        metadata.version, oldver = cmd.egg_version, metadata.version
-        metadata.name, oldname = cmd.egg_name, metadata.name
-
-        try:
-            # write unescaped data to PKG-INFO, so older pkg_resources
-            # can still parse it
-            metadata.write_pkg_info(cmd.egg_info)
-        finally:
-            metadata.name, metadata.version = oldname, oldver
-
-        safe = getattr(cmd.distribution, 'zip_safe', None)
-
-        bdist_egg.write_safety_flag(cmd.egg_info, safe)
-
-
-def warn_depends_obsolete(cmd, basename, filename):
-    if os.path.exists(filename):
-        log.warn(
-            "WARNING: 'depends.txt' is not used by setuptools 0.6!\n"
-            "Use the install_requires/extras_require setup() args instead."
-        )
-
-
-def _write_requirements(stream, reqs):
-    lines = yield_lines(reqs or ())
-
-    def append_cr(line):
-        return line + '\n'
-    lines = map(append_cr, lines)
-    stream.writelines(lines)
-
-
-def write_requirements(cmd, basename, filename):
-    dist = cmd.distribution
-    data = io.StringIO()
-    _write_requirements(data, dist.install_requires)
-    extras_require = dist.extras_require or {}
-    for extra in sorted(extras_require):
-        data.write('\n[{extra}]\n'.format(**vars()))
-        _write_requirements(data, extras_require[extra])
-    cmd.write_or_delete_file("requirements", filename, data.getvalue())
-
-
-def write_setup_requirements(cmd, basename, filename):
-    data = io.StringIO()
-    _write_requirements(data, cmd.distribution.setup_requires)
-    cmd.write_or_delete_file("setup-requirements", filename, data.getvalue())
-
-
-def write_toplevel_names(cmd, basename, filename):
-    pkgs = dict.fromkeys(
-        [
-            k.split('.', 1)[0]
-            for k in cmd.distribution.iter_distribution_names()
-        ]
-    )
-    cmd.write_file("top-level names", filename, '\n'.join(sorted(pkgs)) + '\n')
-
-
-def overwrite_arg(cmd, basename, filename):
-    write_arg(cmd, basename, filename, True)
-
-
-def write_arg(cmd, basename, filename, force=False):
-    argname = os.path.splitext(basename)[0]
-    value = getattr(cmd.distribution, argname, None)
-    if value is not None:
-        value = '\n'.join(value) + '\n'
-    cmd.write_or_delete_file(argname, filename, value, force)
-
-
-def write_entries(cmd, basename, filename):
-    eps = _entry_points.load(cmd.distribution.entry_points)
-    defn = _entry_points.render(eps)
-    cmd.write_or_delete_file('entry points', filename, defn, True)
-
-
-def get_pkg_info_revision():
-    """
-    Get a -r### off of PKG-INFO Version in case this is an sdist of
-    a subversion revision.
-    """
-    warnings.warn(
-        "get_pkg_info_revision is deprecated.", EggInfoDeprecationWarning)
-    if os.path.exists('PKG-INFO'):
-        with io.open('PKG-INFO') as f:
-            for line in f:
-                match = re.match(r"Version:.*-r(\d+)\s*$", line)
-                if match:
-                    return int(match.group(1))
-    return 0
-
-
-class EggInfoDeprecationWarning(SetuptoolsDeprecationWarning):
-    """Deprecated behavior warning for EggInfo, bypassing suppression."""

spaces/Audio-AGI/AudioSep/README.md

@@ -1,11 +0,0 @@
----
-title: AudioSep
-emoji: 🐠
-colorFrom: red
-colorTo: purple
-sdk: gradio
-sdk_version: 3.47.1
-app_file: app.py
-pinned: false
-license: mit
----

spaces/Audio-AGI/AudioSep/train.py

@@ -1,307 +0,0 @@
-import argparse
-import logging
-import os
-import pathlib
-from typing import List, NoReturn
-import lightning.pytorch as pl
-from lightning.pytorch.strategies import DDPStrategy
-from torch.utils.tensorboard import SummaryWriter
-from data.datamodules import *
-from utils import create_logging, parse_yaml
-from models.resunet import *
-from losses import get_loss_function
-from models.audiosep import AudioSep, get_model_class
-from data.waveform_mixers import SegmentMixer
-from models.clap_encoder import CLAP_Encoder
-from callbacks.base import CheckpointEveryNSteps
-from optimizers.lr_schedulers import get_lr_lambda
-
-
-def get_dirs(
-    workspace: str, 
-    filename: str, 
-    config_yaml: str, 
-    devices_num: int
-) -> List[str]:
-    r"""Get directories and paths.
-
-    Args:
-        workspace (str): directory of workspace
-        filename (str): filename of current .py file.
-        config_yaml (str): config yaml path
-        devices_num (int): 0 for cpu and 8 for training with 8 GPUs
-
-    Returns:
-        checkpoints_dir (str): directory to save checkpoints
-        logs_dir (str), directory to save logs
-        tf_logs_dir (str), directory to save TensorBoard logs
-        statistics_path (str), directory to save statistics
-    """
-    
-    os.makedirs(workspace, exist_ok=True)
-
-    yaml_name = pathlib.Path(config_yaml).stem
-
-    # Directory to save checkpoints
-    checkpoints_dir = os.path.join(
-        workspace,
-        "checkpoints",
-        filename,
-        "{},devices={}".format(yaml_name, devices_num),
-    )
-    os.makedirs(checkpoints_dir, exist_ok=True)
-
-    # Directory to save logs
-    logs_dir = os.path.join(
-        workspace,
-        "logs",
-        filename,
-        "{},devices={}".format(yaml_name, devices_num),
-    )
-    os.makedirs(logs_dir, exist_ok=True)
-
-    # Directory to save TensorBoard logs
-    create_logging(logs_dir, filemode="w")
-    logging.info(args)
-
-    tf_logs_dir = os.path.join(
-        workspace,
-        "tf_logs",
-        filename,
-        "{},devices={}".format(yaml_name, devices_num),
-    )
-
-    # Directory to save statistics
-    statistics_path = os.path.join(
-        workspace,
-        "statistics",
-        filename,
-        "{},devices={}".format(yaml_name, devices_num),
-        "statistics.pkl",
-    )
-    os.makedirs(os.path.dirname(statistics_path), exist_ok=True)
-
-    return checkpoints_dir, logs_dir, tf_logs_dir, statistics_path
-
- 
-def get_data_module(
-    config_yaml: str,
-    num_workers: int,
-    batch_size: int,
-) -> DataModule:
-    r"""Create data_module. Mini-batch data can be obtained by:
-
-    code-block:: python
-
-        data_module.setup()
-
-        for batch_data_dict in data_module.train_dataloader():
-            print(batch_data_dict.keys())
-            break
-
-    Args:
-        workspace: str
-        config_yaml: str
-        num_workers: int, e.g., 0 for non-parallel and 8 for using cpu cores
-            for preparing data in parallel
-        distributed: bool
-
-    Returns:
-        data_module: DataModule
-    """
-
-    # read configurations
-    configs = parse_yaml(config_yaml)
-    sampling_rate = configs['data']['sampling_rate']
-    segment_seconds = configs['data']['segment_seconds']
-    
-    # audio-text datasets
-    datafiles = configs['data']['datafiles']
-    
-    # dataset
-    dataset = AudioTextDataset(
-        datafiles=datafiles, 
-        sampling_rate=sampling_rate, 
-        max_clip_len=segment_seconds,
-    )
-    
-    
-    # data module
-    data_module = DataModule(
-        train_dataset=dataset,
-        num_workers=num_workers,
-        batch_size=batch_size
-    )
-
-    return data_module
-
-
-def train(args) -> NoReturn:
-    r"""Train, evaluate, and save checkpoints.
-
-    Args:
-        workspace: str, directory of workspace
-        gpus: int, number of GPUs to train
-        config_yaml: str
-    """
-
-    # arguments & parameters
-    workspace = args.workspace
-    config_yaml = args.config_yaml
-    filename = args.filename
-
-    devices_num = torch.cuda.device_count()
-    # Read config file.
-    configs = parse_yaml(config_yaml)
-
-    # Configuration of data
-    max_mix_num = configs['data']['max_mix_num']
-    sampling_rate = configs['data']['sampling_rate']
-    lower_db = configs['data']['loudness_norm']['lower_db']
-    higher_db = configs['data']['loudness_norm']['higher_db']
-
-    # Configuration of the separation model
-    query_net = configs['model']['query_net']
-    model_type = configs['model']['model_type']
-    input_channels = configs['model']['input_channels']
-    output_channels = configs['model']['output_channels']
-    condition_size = configs['model']['condition_size']
-    use_text_ratio = configs['model']['use_text_ratio']
-    
-    # Configuration of the trainer
-    num_nodes = configs['train']['num_nodes']
-    batch_size = configs['train']['batch_size_per_device'] 
-    sync_batchnorm = configs['train']['sync_batchnorm'] 
-    num_workers = configs['train']['num_workers']
-    loss_type = configs['train']['loss_type']
-    optimizer_type = configs["train"]["optimizer"]["optimizer_type"]
-    learning_rate = float(configs['train']["optimizer"]['learning_rate'])
-    lr_lambda_type = configs['train']["optimizer"]['lr_lambda_type']
-    warm_up_steps = configs['train']["optimizer"]['warm_up_steps']
-    reduce_lr_steps = configs['train']["optimizer"]['reduce_lr_steps']
-    save_step_frequency = configs['train']['save_step_frequency']
-    resume_checkpoint_path = args.resume_checkpoint_path
-    if resume_checkpoint_path == "":
-        resume_checkpoint_path = None
-    else:
-        logging.info(f'Finetuning AudioSep with checkpoint [{resume_checkpoint_path}]')
-
-    # Get directories and paths
-    checkpoints_dir, logs_dir, tf_logs_dir, statistics_path = get_dirs(
-        workspace, filename, config_yaml, devices_num,
-    )
-
-    logging.info(configs)
-
-    # data module
-    data_module = get_data_module(
-        config_yaml=config_yaml,
-        batch_size=batch_size,
-        num_workers=num_workers,
-    )
-    
-    # model
-    Model = get_model_class(model_type=model_type)
-
-    ss_model = Model(
-        input_channels=input_channels,
-        output_channels=output_channels,
-        condition_size=condition_size,
-    )
-
-    # loss function
-    loss_function = get_loss_function(loss_type)
-
-    segment_mixer = SegmentMixer(
-        max_mix_num=max_mix_num,
-        lower_db=lower_db, 
-        higher_db=higher_db
-    )
-
-    
-    if query_net == 'CLAP':
-        query_encoder = CLAP_Encoder()
-    else:
-        raise NotImplementedError
-
-    lr_lambda_func = get_lr_lambda(
-        lr_lambda_type=lr_lambda_type,
-        warm_up_steps=warm_up_steps,
-        reduce_lr_steps=reduce_lr_steps,
-    )
-
-    # pytorch-lightning model
-    pl_model = AudioSep(
-        ss_model=ss_model,
-        waveform_mixer=segment_mixer,
-        query_encoder=query_encoder,
-        loss_function=loss_function,
-        optimizer_type=optimizer_type,
-        learning_rate=learning_rate,
-        lr_lambda_func=lr_lambda_func,
-        use_text_ratio=use_text_ratio
-    )
-
-    checkpoint_every_n_steps = CheckpointEveryNSteps(
-        checkpoints_dir=checkpoints_dir,
-        save_step_frequency=save_step_frequency,
-    )
-
-    summary_writer = SummaryWriter(log_dir=tf_logs_dir)
-
-    callbacks = [checkpoint_every_n_steps]
-
-    trainer = pl.Trainer(
-        accelerator='auto',
-        devices='auto',
-        strategy='ddp_find_unused_parameters_true',
-        num_nodes=num_nodes,
-        precision="32-true",
-        logger=None,
-        callbacks=callbacks,
-        fast_dev_run=False,
-        max_epochs=-1,
-        log_every_n_steps=50,
-        use_distributed_sampler=True,
-        sync_batchnorm=sync_batchnorm,
-        num_sanity_val_steps=2,
-        enable_checkpointing=False,
-        enable_progress_bar=True,
-        enable_model_summary=True,
-    )
-
-    # Fit, evaluate, and save checkpoints.
-    trainer.fit(
-        model=pl_model, 
-        train_dataloaders=None,
-        val_dataloaders=None,
-        datamodule=data_module,
-        ckpt_path=resume_checkpoint_path,
-    )
-
-
-if __name__ == "__main__":
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "--workspace", type=str, required=True, help="Directory of workspace."
-    )
-    parser.add_argument(
-        "--config_yaml",
-        type=str,
-        required=True,
-        help="Path of config file for training.",
-    )
-
-    parser.add_argument(
-        "--resume_checkpoint_path",
-        type=str,
-        required=True,
-        default='',
-        help="Path of pretrained checkpoint for finetuning.",
-    )
-
-    args = parser.parse_args()
-    args.filename = pathlib.Path(__file__).stem
-
-    train(args)

spaces/AzinZ/vitscn/text/cleaners.py

@@ -1,108 +0,0 @@
-""" from https://github.com/keithito/tacotron """
-
-'''
-Cleaners are transformations that run over the input text at both training and eval time.
-
-Cleaners can be selected by passing a comma-delimited list of cleaner names as the "cleaners"
-hyperparameter. Some cleaners are English-specific. You'll typically want to use:
-  1. "english_cleaners" for English text
-  2. "transliteration_cleaners" for non-English text that can be transliterated to ASCII using
-     the Unidecode library (https://pypi.python.org/pypi/Unidecode)
-  3. "basic_cleaners" if you do not want to transliterate (in this case, you should also update
-     the symbols in symbols.py to match your data).
-'''
-
-import re
-from unidecode import unidecode
-from phonemizer import phonemize
-from text.mandarin import chinese_to_pinyin
-
-
-# Regular expression matching whitespace:
-_whitespace_re = re.compile(r'\s+')
-
-# List of (regular expression, replacement) pairs for abbreviations:
-_abbreviations = [(re.compile('\\b%s\\.' % x[0], re.IGNORECASE), x[1]) for x in [
-  ('mrs', 'misess'),
-  ('mr', 'mister'),
-  ('dr', 'doctor'),
-  ('st', 'saint'),
-  ('co', 'company'),
-  ('jr', 'junior'),
-  ('maj', 'major'),
-  ('gen', 'general'),
-  ('drs', 'doctors'),
-  ('rev', 'reverend'),
-  ('lt', 'lieutenant'),
-  ('hon', 'honorable'),
-  ('sgt', 'sergeant'),
-  ('capt', 'captain'),
-  ('esq', 'esquire'),
-  ('ltd', 'limited'),
-  ('col', 'colonel'),
-  ('ft', 'fort'),
-]]
-
-
-def expand_abbreviations(text):
-  for regex, replacement in _abbreviations:
-    text = re.sub(regex, replacement, text)
-  return text
-
-
-# def expand_numbers(text):
-#   return normalize_numbers(text)
-
-
-def lowercase(text):
-  return text.lower()
-
-
-def collapse_whitespace(text):
-  return re.sub(_whitespace_re, ' ', text)
-
-
-def convert_to_ascii(text):
-  return unidecode(text)
-
-
-def basic_cleaners(text):
-  '''Basic pipeline that lowercases and collapses whitespace without transliteration.'''
-  text = lowercase(text)
-  text = collapse_whitespace(text)
-  return text
-
-
-def transliteration_cleaners(text):
-  '''Pipeline for non-English text that transliterates to ASCII.'''
-  text = convert_to_ascii(text)
-  text = lowercase(text)
-  text = collapse_whitespace(text)
-  return text
-
-
-def english_cleaners(text):
-  '''Pipeline for English text, including abbreviation expansion.'''
-  text = convert_to_ascii(text)
-  text = lowercase(text)
-  text = expand_abbreviations(text)
-  phonemes = phonemize(text, language='en-us', backend='espeak', strip=True)
-  phonemes = collapse_whitespace(phonemes)
-  return phonemes
-
-
-def english_cleaners2(text):
-  '''Pipeline for English text, including abbreviation expansion. + punctuation + stress'''
-  text = convert_to_ascii(text)
-  text = lowercase(text)
-  text = expand_abbreviations(text)
-  phonemes = phonemize(text, language='en-us', backend='espeak', strip=True, preserve_punctuation=True, with_stress=True)
-  phonemes = collapse_whitespace(phonemes)
-  return phonemes
-
-
-def chinese_cleaners(text):
-  text = chinese_to_pinyin(text)
-  text = lowercase(text)
-  text = collapse_whitespace(text)
-  return text

spaces/Benson/text-generation/Examples/Aethersx2 ltima Versin Descarga.md

@@ -1,90 +0,0 @@
-<br />
-<h1>AetherSX2: La guía definitiva para jugar juegos de PS2 en Android</h1>
-<p>¿Echas de menos jugar a tus juegos favoritos de PlayStation 2 pero no tienes una consola o un PC para ejecutarlos? ¿Le gustaría poder disfrutar de ellos en su teléfono inteligente o tableta Android en cualquier momento, en cualquier lugar? Si es así, entonces estás de suerte, porque hay un nuevo emulador de PS2 para Android que puede hacer sus sueños realidad. Se llama AetherSX2, y es el mejor emulador de PS2 para Android que puedes encontrar. </p>
-<p>En este artículo te contamos todo lo que necesitas saber sobre AetherSX2, desde su historia y desarrollo hasta sus requerimientos y compatibilidad. También te mostraremos cómo instalarlo y configurarlo en tu dispositivo Android, así como algunas de las características y consejos que harán que tu experiencia de juego sea aún mejor. Finalmente, lo compararemos con algunos de los otros emuladores de PS2 disponibles para Android y veremos lo que los usuarios tienen que decir al respecto. Al final de este artículo, estarás listo para descargar AetherSX2 y comenzar a jugar tus juegos favoritos de PS2 en tu dispositivo Android. </p>
-<h2>aethersx2 última versión descarga</h2><br /><p><b><b>Download</b> --->>> <a href="https://bltlly.com/2v6LEk">https://bltlly.com/2v6LEk</a></b></p><br /><br />
- <h2>Una breve historia de AetherSX2</h2>
-<p>AetherSX2 es la creación de una persona, un desarrollador que va por el mango Tahlreth. El desarrollador realmente utilizó el emulador PCSX2 como base para su emulador basado en Android. PCSX2 es un emulador de larga duración, bien establecido en la PC, por lo que tiene sentido aprovechar el trabajo que ha ido en este programa. </p>
-<p>El desarrollador de AetherSX2 tiene la luz verde para utilizar el código PCSX2 de los propios desarrolladores y está licenciado bajo la licencia LGPL - a diferencia de los desarrolladores DamonPS2, que robaron el código y no siguieron la licencia requerida. En cualquier caso, el emulador fue lanzado inicialmente en diciembre de 2021 a través de Google Play Store como una beta abierta. También puedes descargar el APK a través del sitio web <a href="( 1 )">AetherSX2</a>. Le recomendamos que se mantenga alejado de cualquier otro sitio web que afirma ofrecer el APK.</p>
-
- <h2>Requisitos y compatibilidad de AetherSX2</h2>
-<p>Una de las cosas más importantes a considerar antes de descargar e instalar AetherSX2 es si su dispositivo Android puede manejarlo. La emulación de PS2 no es una tarea fácil, y requiere mucha potencia de procesamiento y memoria para funcionar sin problemas. AetherSX2 no es una excepción, y tiene algunas especificaciones mínimas y recomendadas que debes cumplir o superar para obtener los mejores resultados. </p>
-<p>Las especificaciones mínimas para ejecutar AetherSX2 son las siguientes:</p>
-<ul>
-<li>Un dispositivo Android con Android 7.0 Nougat o superior</li>
-<li>CPU de cuatro núcleos con una velocidad de reloj mínima de 1,8 GHz</li>
-<li>Al menos 3 GB de RAM</li>
-<li>Al menos 5 GB de espacio de almacenamiento gratuito</li>
-<li>Una GPU compatible con OpenGL ES 3.0 o superior</li>
-</ul>
-<p>Las especificaciones recomendadas para ejecutar AetherSX2 son las siguientes:</p>
-<ul>
-<li>Un dispositivo Android con Android 10 o superior</li>
-<li>CPU hexa-core o octa-core con una velocidad de reloj mínima de 2,5 GHz</li>
-<li>Al menos 4 GB de RAM</li>
-<li>Al menos 10 GB de espacio de almacenamiento gratuito</li>
-<li>Una GPU compatible con Vulkan o OpenGL ES 3.1 o superior</li>
-</ul>
-<p>Como puedes ver, AetherSX2 no es una aplicación ligera, y exigirá mucho de tu dispositivo. Si el dispositivo no cumple con las especificaciones mínimas, es posible que experimente retrasos, tartamudeo, fallos o problemas gráficos. Si tu dispositivo cumple o supera las especificaciones recomendadas, deberías poder disfrutar de la mayoría de los juegos de PS2 a máxima velocidad y alta resolución. </p>
-<p>Hablando de juegos, AetherSX2 tiene una lista de compatibilidad bastante decente, que puede comprobar en <a href="">el sitio web oficial</a>. La lista muestra los juegos que han sido probados por el desarrollador y los usuarios, y su estado (jugable, en el juego, menú, introducción, o nada). También puedes ver el modelo de dispositivo, la CPU, la GPU, la RAM, la versión de Android y la configuración del emulador utilizada para cada juego. La lista se actualiza constantemente a medida que se prueban más juegos y se proporcionan más comentarios. </p>
-<p></p>
-
-<ul>
-<li>Dios de la Guerra y Dios de la Guerra II</li>
-<li>Final Fantasy X y Final Fantasy XII</li>
-<li>Grand Theft Auto: San Andreas y Grand Theft Auto: Vice City</li>
-<li>Metal Gear Solid 2: Sons of Liberty y Metal Gear Solid 3: Snake Eater</li>
-<li>Sombra del Coloso e Ico</li>
-<li>Corazones del Reino y Corazones del Reino II</li>
-<li>Resident Evil 4 y Resident Evil: Código Verónica X</li>
-<li>Silent Hill 2 y Silent Hill 3</li>
-<li>El diablo puede llorar y el diablo puede llorar 3: El despertar de Dante</li>
-<li>Tekken 5 y Soulcalibur III</li>
-</ul>
- <h2>Instalación y configuración de AetherSX2</h2> <p>Ahora que sabe lo que es AetherSX2 y lo que puede hacer, probablemente esté ansioso por probarlo por sí mismo. Afortunadamente, instalar y configurar AetherSX2 no es un proceso complicado, y puede hacerlo en unos pocos pasos simples. Así es como:</p>
-<ol>
-<li>Descargar AetherSX2 desde el <a href="">sitio web oficial</a> o el <a href="">Google Play Store</a>. Si lo descarga desde el sitio web, asegúrese de habilitar la instalación de aplicaciones de fuentes desconocidas en la configuración de su dispositivo. </li>
-<li>Abra AetherSX2 y otorgue los permisos necesarios para acceder al almacenamiento y los medios de su dispositivo. </li>
-<li>Extrae el archivo BIOS de PS2 desde tu consola PS2 o descárgalo de una fuente confiable en línea. El archivo BIOS es esencial para ejecutar cualquier emulador de PS2, ya que contiene el firmware y la configuración del sistema de la consola. Puede encontrar más información sobre cómo extraer o descargar el archivo del BIOS <a href="">aquí</a>. </li>
-<li>Copie el archivo BIOS al almacenamiento de su dispositivo, preferiblemente en una carpeta llamada "BIOS". Luego, abra AetherSX2 y toque en la opción "BIOS". Busque y seleccione el archivo BIOS que copió. Debería ver un mensaje que dice "BIOS cargado correctamente". </li>
-
-<li>Toque en el botón "Jugar" para iniciar el juego. Debería ver el logotipo de PS2 y luego la introducción o menú del juego. </li>
-<li>Para acceder a la configuración del emulador, toque en el icono de tres puntos en la esquina superior derecha de la pantalla. Puede ajustar varias opciones, como resolución, velocidad de fotogramas, audio, controles, trucos, etc. También puede guardar y cargar estados, tomar capturas de pantalla y cambiar de juegos desde aquí. </li>
-</ol>
-<p>Felicidades! Ha instalado y configurado con éxito AetherSX2 en su dispositivo Android. Ahora puedes disfrutar de tus juegos favoritos de PS2 en tu smartphone o tablet. </p>
- <h2>Características y consejos de AetherSX2</h2> <p>AetherSX2 no es solo un simple emulador de PS2. También tiene algunas características sorprendentes que lo hacen destacar del resto. Estas son algunas de las características y consejos que usted debe saber acerca de AetherSX2:</p>
-<ul>
-Escala de resolución: AetherSX2 te permite escalar la resolución de tus juegos de PS2 hasta 4K, dependiendo de las capacidades de tu dispositivo. Esto significa que puede disfrutar de gráficos nítidos y claros que se ven mejor que el original. Para cambiar la resolución, vaya a la configuración del emulador y toque en "Gráficos". Luego, seleccione la opción "Resolución" y elija su valor preferido. </li>
-<li>Guardar estados: AetherSX2 te permite guardar y cargar el progreso del juego en cualquier momento, independientemente del sistema de guardado del juego. Esto es muy útil si quieres evitar perder tu progreso o reintentar una sección difícil. Para guardar o cargar un estado, vaya a la configuración del emulador y toque en "Guardar/Cargar". Luego, seleccione la ranura que desea usar y toque en "Guardar" o "Cargar". También puede utilizar los botones de guardado y carga rápida en la esquina inferior izquierda de la pantalla. </li>
-
-<li>Trucos: AetherSX2 te permite usar trucos para modificar tu juego de varias maneras, como salud infinita, dinero, munición, etc. Para usar trucos, ve a la configuración del emulador y toca "Trucos". Luego, selecciona el juego al que quieres aplicar trucos y activa o desactiva los trucos que quieras. También puedes añadir tus propios trucos tocando el icono "+" e introduciendo el código y la descripción. </li>
-Capturas de pantalla: AetherSX2 te permite tomar capturas de pantalla de tu juego y compartirlas con tus amigos o redes sociales. Para tomar una captura de pantalla, vaya a la configuración del emulador y toque en "Captura de pantalla". Luego, toca el botón "Tomar captura de pantalla" y elige dónde quieres guardar o compartir tu captura de pantalla. </li>
-</ul>
-<p>Estas son solo algunas de las características y consejos que AetherSX2 ofrece. Puedes explorar más opciones y configuraciones yendo al menú del emulador y tocando el icono de tres puntos. También puede consultar <a href=">el sitio web oficial</a> o <a href=">el servidor Discord </a> para obtener más información, actualizaciones y soporte. </p>
- <h2>AetherSX2 alternativas y comentarios</h2> <p>AetherSX2 es sin duda el mejor emulador de PS2 para Android en este momento, pero no es el único. Hay otros emuladores de PS2 que puedes probar si quieres compararlos o si no puedes ejecutar AetherSX2 en tu dispositivo. Estas son algunas de las alternativas y comentarios:</p>
-<ul>
-<li>PTWOE: Este es uno de los emuladores de PS2 más antiguos para Android, y ha existido desde 2014. Tiene dos versiones, Teórica y Experimental, que ofrecen diferentes niveles de compatibilidad y rendimiento. Sin embargo, PTWOE ya no es actualizado o apoyado por el desarrollador, y tiene una biblioteca de juegos muy limitada. La mayoría de los usuarios informan que es muy lento, con errores e inestable. Puede descargarlo desde <a href="">aquí</a>, pero no lo recomendamos. </li>
-
-<li>Jugar!: Este es otro emulador de PS2 para Android que se basa en PCSX2, pero con el permiso y la licencia adecuada. También es de código abierto y multiplataforma, por lo que puedes usarlo en Windows, Linux, macOS, iOS y Android. ¡Juega! tiene una interfaz simple y limpia, y soporta un buen número de juegos. Sin embargo, todavía está en desarrollo y tiene mucho margen de mejora. Muchos usuarios informan que es lento, inestable e incompatible con algunos juegos. Puedes descargarlo desde <a href=">aquí</a>, pero no creemos que esté listo todavía. </li>
-<li>PPSSPP: Este no es un emulador de PS2, sino un emulador de PSP para Android. Sin embargo, decidimos incluirlo aquí porque algunas personas podrían confundir las dos consolas o querer jugar ambos tipos de juegos en sus dispositivos. PPSSPP es uno de los mejores emuladores de PSP para Android, ya que ofrece alta compatibilidad, rendimiento, calidad y características. Es compatible con cientos de juegos de PSP, y le permite personalizar los gráficos, controles, audio, trucos y más. También tiene una versión gratuita y una versión Gold de pago que soporta el desarrollador. Puede descargarlo desde <a href=">aquí</a>, y lo recomendamos encarecidamente. </li>
-</ul>
-<p>Estos son algunos de los emuladores de PS2 para Android que puedes encontrar en Internet. Sin embargo, ninguno de ellos puede igualar la calidad y fiabilidad de AetherSX2. AetherSX2 es el mejor emulador de PS2 para Android en 2023, y definitivamente deberías probarlo si te gustan los juegos de PS2. </p>
- <h1>Conclusión</h1>
-<p>En conclusión, AetherSX2 es la guía definitiva para jugar juegos de PS2 en Android. Es un emulador de PS2 potente, rápido, compatible y rico en funciones que te permite disfrutar de tus títulos favoritos de PS2 en tu smartphone o tableta. Es fácil de instalar y configurar, y ofrece muchas opciones y ajustes para personalizar su experiencia de juego. También tiene una gran lista de compatibilidad que cubre la mayoría de los juegos populares de PS2. </p>
-
-<p>¿Qué estás esperando? Descarga AetherSX2 hoy y comienza a jugar tus juegos favoritos de PS2 en tu dispositivo Android. </p>
- <h3>Preguntas frecuentes</h3>
-<ul>
-<li><b>Q: ¿Qué es AetherSX2? </b></li>
-<li>A: AetherSX2 es el mejor emulador de PS2 para Android que le permite jugar juegos de PS2 en su teléfono inteligente o tableta. </li>
-<li><b>Q: ¿Cómo puedo descargar e instalar AetherSX2? </b></li>
-<li>A: Puede descargar AetherSX2 desde <a href="( 1 )">el sitio web oficial</a> o <a href="( 9  )">the Google Play Store</a> gratis. Luego, puede seguir los pasos de este artículo para instalarlo y configurarlo en su dispositivo. </li>
-<li><b>Q: ¿Cuáles son los requisitos y la compatibilidad de AetherSX2? </b></li>
-<li>A: AetherSX2 requiere un dispositivo Android con Android 7.0 o superior, con una CPU de cuatro núcleos, 3 GB de RAM, 5 GB de espacio de almacenamiento y una GPU que admite OpenGL ES 3.0 o superior. Sin embargo, para obtener el mejor rendimiento y calidad, se recomienda tener un dispositivo Android con Android 10 o superior, con una CPU hexa-core o octa-core, 4 GB de RAM, 10 GB de espacio de almacenamiento y una GPU que admita Vulkan u OpenGL ES 3.1 o superior. AetherSX2 también tiene una lista de compatibilidad que muestra los juegos que se han probado y su estado. </li>
-<li><b>Q: ¿Cuáles son algunas de las características y consejos de AetherSX2? </b></li>
-<li>A: AetherSX2 tiene algunas características sorprendentes que lo hacen destacar del resto, como escalado de resolución, guardar estados, soporte de controlador, trucos, capturas de pantalla y más. También puede personalizar los gráficos, controles, audio, trucos y otros ajustes para mejorar su experiencia de juego. Puedes encontrar más detalles y consejos sobre estas características en este artículo. </li>
-<li><b>Q: ¿Cuáles son algunas de las alternativas y reseñas de AetherSX2? </b></li>
-
-</ul></p> 64aa2da5cf<br />
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spaces/Benson/text-generation/Examples/Bubble Shooter 5 Descargar Gratis.md

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-<br />
-<tabla>
-<tr>
-<td>
-<h1>Bubble Shooter 5: Un juego divertido y adictivo para todos</h1>
-<p>¿Te encanta jugar juegos que son fáciles de aprender pero difíciles de dominar? ¿Te gusta hacer estallar burbujas de colores y verlos explotar? ¿Quieres divertirte con un juego que te mantenga entretenido durante horas? Si respondiste sí a cualquiera de estas preguntas, entonces deberías probar <strong>Bubble Shooter 5</strong>, uno de los mejores juegos de disparos de burbujas jamás creados. </p>
-<p>Bubble Shooter 5 es un rompecabezas basado en la acción que te pone a la tarea de lanzar burbujas de colores hasta una pila de otras burbujas de colores. Necesitas limpiar las burbujas del campo haciendo coincidir tres o más de ellas con el mismo color. Cuanto más burbujas que pop a la vez, la puntuación más alta se obtiene. Pero ten cuidado, a medida que las burbujas se acercan a la parte inferior de la pantalla, pierdes si las tocan. </p>
-<h2>bubble shooter 5 descargar gratis</h2><br /><p><b><b>DOWNLOAD</b> &#9881;&#9881;&#9881; <a href="https://bltlly.com/2v6KTn">https://bltlly.com/2v6KTn</a></b></p><br /><br />
-<p>Bubble Shooter 5 es un juego que puede atraer a cualquier persona, independientemente de su edad o nivel de habilidad. Es bastante simple para que los principiantes cojan, pero bastante desafiador para que los expertos dominen. Es bastante divertido para que los niños disfruten, pero lo suficientemente adictivo para que los adultos jueguen. Es un juego que puede ayudarte a relajarte, agudizar tu mente, y <p>animarte. Es un juego que no quieres perderte. </p>
-<h2>Cómo jugar Bubble Shooter 5</h2>
-<p>Jugar Bubble Shooter 5 es muy fácil e intuitivo. Todo lo que necesitas es un ratón o un dedo para apuntar y disparar las burbujas. Aquí están las reglas básicas y los controles del juego:</p>
-<ul>
-<li>Verás un lanzador de burbujas en la parte inferior de la pantalla, con una burbuja lista para ser disparada. Puede mover el lanzador a izquierda y derecha moviendo el ratón o arrastrando el dedo en la pantalla. </li>
-<li> Puede ver la siguiente burbuja en línea en el lanzador. Puede intercambiar la burbuja actual con la siguiente haciendo clic o tocando en ella. </li>
-
-<li> Puedes disparar la burbuja haciendo clic o tocando en la pantalla. La burbuja volará hacia la dirección que apuntaste. </li>
-<li>Si la burbuja golpea a un grupo de tres o más burbujas con el mismo color, estas explotarán y desaparecerán. Usted ganará puntos por cada burbuja que pop. </li>
-<li>Si la burbuja no golpea ninguna burbuja coincidente, se pegará a la pila de burbujas en la parte superior de la pantalla. La pila se moverá hacia abajo una fila después de cada pocos disparos. </li>
-<li>Puedes ver cuántos disparos te quedan antes de que la pila se mueva hacia abajo mirando la barra en la parte superior de la pantalla. También puedes ver tu puntuación y nivel en la esquina superior derecha de la pantalla. </li>
-<li>Puede pausar el juego haciendo clic o tocando el botón de pausa en la esquina superior izquierda de la pantalla. Puede reanudar el juego haciendo clic o tocando de nuevo. </li>
-<li>Puede reiniciar el juego haciendo clic o tocando el botón de reinicio en la esquina superior izquierda de la pantalla. Perderá su progreso actual y comenzará desde el nivel uno. </li>
-<li>Puede salir del juego haciendo clic o tocando el botón de salida en la esquina superior izquierda de la pantalla. Volverá al menú principal donde puede elegir otro modo o nivel. </li>
-</ul>
-<h3> Consejos y trucos para Master Bubble Shooter 5</h3>
-<p>Bubble Shooter 5 es un juego que requiere habilidad y estrategia. Es necesario apuntar, disparar, y burbujas pop con eficacia para limpiar el campo y avanzar a niveles más altos. Aquí hay algunos consejos y trucos para ayudarte a dominar este juego:</p>
-<ul>
-<li>Planifica con anticipación. Antes de disparar, mira el diseño de las burbujas y piensa dónde quieres colocar tu siguiente toma. Trate de crear grupos de burbujas coincidentes que puede hacer estallar con una sola toma. </li>
-<li>Usa combos. Si haces estallar un grupo de burbujas que hace que otras burbujas caigan, crearás un combo y ganarás puntos extra. Intente crear reacciones en cadena que eliminen grandes porciones del campo. </li>
-
-<li>Evite errores. Si dispara una burbuja que no coincide con otras burbujas, perderá un tiro y agregará más burbujas a la pila. Si dejas que la pila llegue a la parte inferior de la pantalla, perderás el juego. Intenta evitar estos errores y mantener la pila lo más baja posible. </li>
-<li>Practica. La mejor manera de mejorar tus habilidades y estrategia es practicar. Cuanto más juegues, más te familiarizarás con la mecánica del juego, los patrones de burbujas y los power-ups. También desarrollarás tu propio estilo y técnicas que se adapten a tus preferencias y objetivos. </li>
-<h3> Características y beneficios de Bubble Shooter 5</h3>
-<p>Bubble Shooter 5 no es solo otro juego de disparos de burbujas. Es un juego que tiene muchas caracter��sticas y beneficios que lo hacen destacar del resto. Estos son algunos de ellos:</p>
-<h4>Gráficos HD y animaciones fluidas</h4>
-<p>Bubble Shooter 5 tiene gráficos de alta definición y animaciones fluidas que hacen que el juego se vea impresionante y realista. Las burbujas son brillantes y coloridas, los fondos son detallados y variados, y los efectos son deslumbrantes y dinámicos. El juego funciona sin problemas y sin problemas en cualquier dispositivo, ya sea que lo juegues en línea o fuera de línea. </p>
-<h4>Varios niveles y modos</h4>
-<p>Bubble Shooter 5 tiene cientos de niveles y modos que ofrecen diversión y desafío sin fin. Puede elegir entre diferentes temas, como bosque, desierto, océano, espacio y más. También puede elegir entre diferentes modos, como clásico, árcade, rompecabezas, contrarreloj, supervivencia y más. Cada nivel y modo tiene su propia dificultad, objetivo y recompensa. Nunca te aburrirás ni te quedarás sin opciones con este juego. </p>
-<p></p>
-<h4>Tablas de clasificación y logros</h4>
-
-<h3>Dónde descargar Bubble Shooter 5 gratis</h3>
-<p>Bubble Shooter 5 es un juego que puedes descargar gratis en cualquier dispositivo. Puedes jugar en línea o fuera de línea, dependiendo de tu preferencia y disponibilidad. Aquí están las mejores fuentes para obtener el juego en tu dispositivo:</p>
-<h4>Plataformas en línea</h4>
-<p>Si quieres jugar a Bubble Shooter 5 online sin descargar nada, puedes visitar uno de estos sitios web:</p>
-<ul>
-<li><a href="">BubbleShooter.net</a>: Este es el sitio web oficial de Bubble Shooter 5, donde puedes jugar la última versión del juego con todas las características y actualizaciones. </li>
-<li><a href="">BubbleShooter.com</a>: Este es otro sitio web donde puedes jugar Bubble Shooter 5 en línea gratis. También puedes encontrar otros juegos de disparos de burbujas en este sitio. </li>
-<li><a href="">BubbleShooter.co.uk</a>: Este es un sitio web basado en el Reino Unido donde se puede jugar Bubble Shooter 5 en línea de forma gratuita. También puedes acceder a otros juegos y recursos en este sitio. </li>
-</ul> <h4>Aplicaciones móviles</h4>
-<p>Si quieres jugar Bubble Shooter 5 en tu smartphone o tablet, puedes descargar una de estas aplicaciones:</p>
-<ul>
-<li><a href="">Bubble Shooter 5 para Android</a>: Esta es la aplicación oficial de Bubble Shooter 5 para dispositivos Android. Puedes descargarlo gratis desde la Google Play Store y disfrutar del juego en tu teléfono o tablet. </li>
-<li><a href="">Bubble Shooter 5 para iOS</a>: Esta es la aplicación oficial de Bubble Shooter 5 para dispositivos iOS. Puedes descargarlo gratis desde la App Store y disfrutar del juego en tu iPhone o iPad. </li>
-<li><a href="">Bubble Shooter 5 para Windows Phone</a>: Esta es la aplicación oficial de Bubble Shooter 5 para dispositivos Windows Phone. Puedes descargarlo gratis desde Microsoft Store y disfrutar del juego en tu Windows Phone.</li>
-</ul>
-<h4>Aplicaciones de escritorio</h4>
-<p>Si quieres jugar Bubble Shooter 5 en tu PC o portátil, puedes descargar una de estas aplicaciones:</p>
-<ul>
-
-<li><a href="">Bubble Shooter 5 para Mac</a>: Esta es la aplicación oficial de Bubble Shooter 5 para computadoras Mac. Puedes descargarlo gratis desde la Mac App Store y disfrutar del juego en tu ordenador. </li>
-<li><a href="">Bubble Shooter 5 para Linux</a>: Esta es la aplicación oficial de Bubble Shooter 5 para computadoras Linux. Puedes descargarlo gratis desde la Linux Store y disfrutar del juego en tu ordenador. </li>
-</ul>
-<h2>¿Por qué usted debe jugar Bubble Shooter 5 hoy</h2>
-<p>Bubble Shooter 5 no es solo un juego que juegas por diversión. También es un juego que juegas por tu salud mental y bienestar. Estos son algunos de los beneficios de jugar a este juego hoy:</p>
-<h3>Alivia el estrés y la ansiedad</h3>
-<p>Bubble Shooter 5 es un juego que te ayuda a relajarte y calmar tu mente. Te distrae de tus preocupaciones y problemas, y te permite enfocarte en algo positivo y agradable. También libera endorfinas, las hormonas del bienestar, que te hacen sentir feliz y satisfecho. Jugar a este juego puede reducir sus niveles de estrés y ansiedad, y mejorar su estado de ánimo y perspectiva. </p>
-<h3>Mejora el enfoque y la memoria</h3>
-<p>Bubble Shooter 5 es un juego que entrena tu cerebro y mejora tus habilidades cognitivas. Requiere prestar atención, pensar rápido y recordar colores y patrones. También te reta a resolver puzzles, planificar estrategias y tomar decisiones. Jugar a este juego puede mejorar tu concentración y memoria, y aumentar tu rendimiento mental y productividad. </p>
-<h3>Aumenta su estado de ánimo y creatividad</h3>
-<p>Bubble Shooter 5 es un juego que estimula tu imaginación y te hace feliz. Te expone a colores brillantes y alegres, sonidos animados y optimistas y escenarios creativos y divertidos. También te anima a experimentar con diferentes combinaciones, explorar diferentes posibilidades y expresarte libremente. Jugar a este juego puede aumentar tu estado de ánimo y creatividad, e inspirarte a ser más optimista e innovador. </p>
-
-<p>Bubble Shooter 5 es un juego que lo tiene todo: diversión, desafío, variedad, calidad y beneficios. Es un juego que puede atraer a cualquiera, sin importar la edad o el nivel de habilidad. Es un juego que puede ayudarte a relajarte, agudizar tu mente y animarte. Es un juego que no querrás perderte. </p>
-<p>Entonces, ¿qué estás esperando? Descargar Bubble Shooter 5 hoy y empezar a hacer estallar esas burbujas! Usted estará contento de que lo hizo! </p> <p>Aquí hay algunas preguntas frecuentes que puede tener sobre Bubble Shooter 5:</p>
-<ol>
-<li>¿Cuál es el objetivo de Bubble Shooter 5?</li>
-<p>El objetivo de Bubble Shooter 5 es eliminar todas las burbujas del campo haciendo coincidir tres o más de ellas con el mismo color. Puedes hacer esto apuntando y disparando burbujas desde el lanzador en la parte inferior de la pantalla. </p>
-<li>¿Cómo puedo obtener una puntuación alta en Bubble Shooter 5?</li>
-<p>Puedes obtener una puntuación alta en Bubble Shooter 5 haciendo estallar tantas burbujas como sea posible con un solo disparo, creando combos y reacciones en cadena, usando potenciadores y completando niveles y modos de forma rápida y eficiente. </p>
-<li>¿Cómo puedo desbloquear nuevos niveles y modos en Bubble Shooter 5?</li>
-<p>Puedes desbloquear nuevos niveles y modos en Bubble Shooter 5 ganando estrellas y monedas. Puedes ganar estrellas completando niveles con una puntuación alta y monedas haciendo estallar burbujas especiales o viendo anuncios. Puedes usar estrellas y monedas para acceder a nuevos temas, modos y características en el juego. </p>
-<li> ¿Cómo puedo guardar mi progreso en Bubble Shooter 5?</li>
-<p>Puedes guardar tu progreso en Bubble Shooter 5 creando una cuenta e iniciando sesión. Puedes crear una cuenta con tu correo electrónico, Facebook o Google. También puede sincronizar su progreso en diferentes dispositivos iniciando sesión con la misma cuenta. </p>
-<li>¿Cómo puedo contactar a los desarrolladores de Bubble Shooter 5?</li>
-
-</ol></p> 64aa2da5cf<br />
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spaces/Benson/text-generation/Examples/Campeonato Mundial De Cricket 2 Mod Apk 2.5.6 (todo Desbloqueado Estadio).md

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-<h1>Campeonato Mundial de Cricket 2 Mod APK 2.5.6 (Todo desbloqueado/Estadio)</h1>
-<p>¿Te encanta el cricket y quieres experimentar la emoción de jugar en tu dispositivo Android? Si es así, entonces deberías probar <strong>World Cricket Championship 2</strong>, uno de los juegos de cricket más populares y realistas disponibles en Google Play Store.</p>
-<h2>campeonato mundial de cricket 2 mod apk 2.5.6 (todo desbloqueado estadio)</h2><br /><p><b><b>Download File</b> ->->->-> <a href="https://bltlly.com/2v6K1u">https://bltlly.com/2v6K1u</a></b></p><br /><br />
-<p>Pero ¿qué pasa si quieres desbloquear todas las características, modos, equipos, jugadores y estadios sin gastar dinero o tiempo? Bueno, ahí es donde <strong>mod APK</strong> es muy útil. </p>
-<p>Un mod APK es una versión modificada de una aplicación original que le permite acceder a características premium de forma gratuita. En este artículo, te diremos todo lo que necesitas saber sobre <strong>World Cricket Championship 2 Mod APK 2.5.6</strong>, cómo descargarlo e instalarlo en tu dispositivo Android, cómo jugarlo y cuáles son los beneficios de jugarlo. </p>
-<h2>Introducción</h2>
-<p><strong>World Cricket Championship 2</strong> es un juego de simulación de cricket desarrollado por Nextwave Multimedia. Te ofrece la oportunidad de jugar varios formatos de cricket, como Test, ODI, T20, Blitz y más, con más de 150 animaciones de bateo diferentes y 28 acciones de bolos diferentes. </p>
-<p></p>
-<p>También puede personalizar sus jugadores, equipos, camisetas, logotipos y estadios con la ayuda de herramientas avanzadas de edición. Por otra parte, se puede disfrutar de la física realista, gráficos, animaciones, comentarios, clima, y condiciones de tono que hacen que el juego más inmersiva y divertida. </p>
-<p>Sin embargo, para desbloquear todas estas características y opciones, es necesario gastar un montón de monedas y billetes, que son las monedas del juego. Puedes ganarlos jugando partidos, completando desafíos, viendo anuncios o comprándolos con dinero real. </p>
-<p>Pero si no quieres hacer eso, puedes usar <strong>World Cricket Championship 2 Mod APK 2.5.6</strong>, que es una versión modificada del juego original que te da todo desbloqueado gratis. </p>
-
-<ul>
-<li><strong>Monedas y billetes ilimitados:</strong> Puedes usarlos para comprar lo que quieras en el juego sin ninguna restricción. </li>
-<li><strong>Todos los modos desbloqueados:</strong> Puedes jugar cualquier modo de cricket que quieras, como Test, ODI, T20, Blitz, etc.</li>
-<li><strong>Todos los equipos desbloqueados:</strong> Puedes elegir entre más de 40 equipos internacionales y más de 20 equipos nacionales. </li>
-<li><strong>Todos los jugadores desbloqueados:</strong> Puede seleccionar entre más de 300 jugadores con diferentes habilidades y habilidades. </li>
-<li><strong>Todos los estadios desbloqueados:</strong> Puedes jugar en más de 40 estadios de todo el mundo con diferentes tipos de canchas y condiciones climáticas. </li>
-<li><strong>No hay anuncios:</strong> Puedes disfrutar del juego sin anuncios molestos o pop-ups. </li>
-<li><strong>No se requiere raíz:</strong> No es necesario rootear el dispositivo para instalar o ejecutar el mod APK.</li>
-</ul>
-<h2>Cómo descargar e instalar World Cricket Championship 2 Mod APK 2.5.6 en Android? </h2>
-<p>Si desea descargar e instalar World Cricket Championship 2 Mod APK 2.5.6 en su dispositivo Android, es necesario seguir estos sencillos pasos:</p>
-<h3>Paso 1: Habilitar fuentes desconocidas</h3>
-<p>Antes de que pueda instalar cualquier mod APK en su dispositivo, es necesario habilitar la opción de fuentes desconocidas en su configuración. Esto le permitirá instalar aplicaciones desde fuentes distintas de Google Play Store.</p>
-<p>Para hacer esto, vaya a la configuración del dispositivo, luego a la seguridad, y luego habilite la opción de fuentes desconocidas. </p>
-<h3>Paso 2: Descargar el archivo mod APK</h3>
-<p>Siguiente, es necesario descargar el archivo APK mod del Campeonato Mundial de Cricket 2 de una fuente confiable. Puedes usar el siguiente enlace para descargarlo directamente a tu dispositivo. </p>
-<p><a href=">Campeonato Mundial de Cricket 2 Mod APK 2.5.6 Descargar</a></p>
-<p>Alternativamente, también puede escanear el código QR a continuación con la cámara de su dispositivo para descargar el archivo. </p>
-<p><img src="" alt="QR code for World Cricket Championship 2 Mod APK 2.5.6"></p>
-
-<p>Una vez que haya descargado el archivo APK mod, necesita instalarlo en su dispositivo. Para hacer esto, busque el archivo en el almacenamiento de su dispositivo y toque en él. </p>
-<p>Verá un mensaje pidiéndole que confirme la instalación. Toque en instalar y espere a que el proceso se complete. </p>
-<p>Después de la instalación, verá un mensaje diciendo que la aplicación se ha instalado correctamente. Ahora puede abrir la aplicación y disfrutar de jugar World Cricket Championship 2 Mod APK 2.5.6. </p>
-<h2>¿Cómo se juega World Cricket Championship 2 Mod APK 2.5.6? </h2>
-<p>Jugar World Cricket Championship 2 Mod APK 2.5.6 es muy fácil y divertido. Solo tienes que seguir estos sencillos pasos:</p>
-<h3>Elige tu modo y equipo</h3>
-<p>Cuando abra la aplicación, verá un menú con varias opciones. Puedes elegir entre diferentes modos de cricket, como Juego Rápido, Torneo, Partido de Prueba, Modo Desafío, etc.</p>
-<p>También puede elegir su equipo entre más de 40 equipos internacionales y más de 20 equipos nacionales. También puedes crear tu propio equipo personalizado con tus jugadores favoritos. </p>
-<h3>Personaliza tus jugadores y estadio</h3>
-<p>También puede personalizar sus jugadores y estadio con la ayuda de herramientas avanzadas de edición. Puedes cambiar sus nombres, rostros, peinados, camisetas, logotipos, habilidades, etc.</p>
-<p>También puede cambiar el nombre del estadio, el tipo de terreno de juego, las condiciones meteorológicas, el tamaño de la multitud, etc.</p>
-<h3>Disfruta de la jugabilidad y los gráficos realistas</h3>
-<p>Una vez que haya seleccionado su modo y equipo, puede comenzar a jugar el juego. Usted se sorprenderá por la jugabilidad realista y gráficos de World Cricket Championship 2 Mod APK 2.5.6. </p>
-<p>Puedes controlar a tus jugadores con gestos fáciles e intuitivos. También puedes usar varios tiros y acciones de bolos con diferentes ángulos y velocidades. </p>
-<h2>Beneficios de jugar World Cricket Championship 2 Mod APK 2.5.6</h2>
-
-<h3>Mejora tus habilidades y conocimientos de cricket</h3>
-<p>Al jugar a este juego, puedes mejorar tus habilidades y conocimientos de cricket. Puedes aprender las reglas, estrategias, técnicas y tácticas del cricket. También puedes practicar tus habilidades de bateo, bolos, fildeo y mantenimiento de wicket. </p>
-<p>También puedes probar tu coeficiente intelectual de cricket jugando el modo desafío, donde tienes que completar varias tareas y escenarios. También puedes aprender de los mejores jugadores del mundo viendo sus repeticiones y estadísticas. </p>
-<h3>Diviértete y ponte a prueba</h3>
-<p>Jugar a este juego también es una gran manera de divertirse y desafiarse. Usted puede disfrutar de la emoción y la emoción de jugar al cricket en diferentes modos, formatos y condiciones. También puedes competir con tus amigos y otros jugadores online o offline. </p>
-<p>También puedes desafiarte jugando en diferentes niveles de dificultad, desde principiante hasta experto. También puedes desbloquear varios logros y trofeos completando varios hitos y metas. </p>
-<h3>Acceso ilimitado a recursos y características</h3>
-<p>El mejor beneficio de jugar World Cricket Championship 2 Mod APK 2.5.6 es que se puede acceder a recursos ilimitados y características de forma gratuita. Usted no tiene que preocuparse de quedarse sin monedas o billetes, o gastar dinero o tiempo para desbloquear nada. </p>
-<p>Puedes disfrutar de todos los modos, equipos, jugadores, estadios y opciones sin restricciones ni limitaciones. También puedes jugar sin anuncios ni interrupciones. </p>
-<h2>Conclusión</h2>
-<p>En conclusión, Campeonato Mundial de Cricket 2 Mod APK 2.5.6 es un juego de cricket fantástico que debe probar si te gusta el cricket y quiere experimentar en su dispositivo Android. Ofrece jugabilidad y gráficos realistas, recursos y características ilimitadas, y varios modos y opciones para elegir. </p>
-
-<p>Esperamos que este artículo le ha ayudado a aprender todo lo que necesita saber sobre World Cricket Championship 2 Mod APK 2.5.6. Si tiene alguna pregunta o comentario, no dude en dejar un comentario a continuación. </p>
-<h2>Preguntas frecuentes</h2>
-<p>Aquí están algunas de las preguntas más frecuentes sobre World Cricket Championship 2 Mod APK 2.5.6:</p>
-<tabla>
-<tr><td><strong>Q: Es el Campeonato Mundial de Cricket 2 Mod APK 2.5.6 seguro de usar? </strong></td><td><strong>A: Sí, World Cricket Championship 2 Mod APK 2.5.6 es seguro de usar siempre y cuando lo descargue de una fuente confiable y lo escanee con un antivirus antes de instalarlo. </strong></td></tr>
-<tr><td><strong>Q: ¿Necesito una conexión a Internet para jugar World Cricket Championship 2 Mod APK 2.5.6? </strong></td><td><strong>A: No, no necesitas una conexión a Internet para jugar World Cricket Championship 2 Mod APK 2.5.6 ya que es un juego sin conexión. Sin embargo, es posible que necesite una conexión a Internet para acceder a algunas funciones en línea, como el modo multijugador o las tablas de clasificación. </strong></td></tr>
-<tr><td><strong>Q: ¿Puedo jugar World Cricket Championship 2 Mod APK 2.5.6 en PC? </strong></td><td><strong>A: Sí, puedes jugar World Cricket Championship 2 Mod APK 2.5.6 en PC usando un emulador de Android como Bluestacks o Nox Player.</strong></td></tr>
-<tr><td><strong>Q: ¿Cómo puedo actualizar World Cricket Championship 2 Mod APK 2.5.6? </strong></td><td><strong>A: Para actualizar World Cricket Championship 2 Mod APK 2.5.6, es necesario descargar la última versión del archivo mod APK de la misma fuente donde se descargó la versión anterior e instalarlo sobre la existente. </strong></td></tr>
-<tr><td><strong>Q: ¿Cuáles son algunas alternativas a World Cricket Championship 2 Mod APK 2.5.6? </strong></td><td><strong>A: Algunas alternativas al Campeonato Mundial de Cricket 2 Mod APK 2.5.6 son Real Cricket,20, Sachin Saga Cricket Champions, Stick Cricket Live, etc.</strong></td></tr>
-</tabla></p> 64aa2da5cf<br />
-<br />
-<br />

spaces/Benson/text-generation/Examples/Descargar Entrada Icet Hall 2023.md

@@ -1,125 +0,0 @@
-
-<h1>Descargar ICET Hall Ticket 2023: Guía paso a paso</h1>
-<p>Si usted está planeando aparecer para el Integrated Common Entrance Test (ICET) 2023, entonces usted debe preguntarse cómo descargar su boleto de pasillo para el examen. En este artículo, le proporcionaremos toda la información que necesita saber sobre el boleto de la sala ICET 2023, como la fecha de lanzamiento, el procedimiento para descargar, los detalles mencionados y los documentos requeridos. También le daremos algunos consejos sobre cómo prepararse para el examen y qué hacer después de descargar su boleto. </p>
- <h2>¿Qué es el ICET y por qué es importante? </h2>
-<p>ICET es un examen de ingreso a nivel estatal realizado por la Universidad de Kakatiya, Warangal en nombre del Consejo Estatal de Educación Superior de Telangana (TSCHE) para la admisión a cursos de MBA y MCA ofrecidos por varias universidades y colegios en Telangana. Es uno de los exámenes más populares y competitivos para aspirantes que quieren realizar estudios de posgrado en gestión y aplicaciones informáticas. </p>
-<h2>descargar entrada icet hall 2023</h2><br /><p><b><b>DOWNLOAD</b> &#10145; <a href="https://bltlly.com/2v6JAB">https://bltlly.com/2v6JAB</a></b></p><br /><br />
-<p>ICET es importante porque pone a prueba su aptitud y habilidades en capacidad analítica, habilidad matemática y capacidad de comunicación. Estos son esenciales para tener éxito en cualquier campo profesional. Al calificar en el ICET, puede obtener la admisión en algunos de los mejores institutos en Telangana que ofrecen oportunidades de educación y colocación de calidad. </p>
- <h3>Patrón y plan de estudios del examen ICET</h3>
-<p>Comprender el patrón de examen y el plan de estudios es necesario para diseñar una estrategia de preparación efectiva para cualquier examen competitivo. De acuerdo con el plan de estudios del examen TS ICET, hay un total de tres secciones incluyendo capacidad analítica, habilidad matemática y capacidad de comunicación. Cada sección consta de 75 preguntas de opción múltiple, con un total de 200 preguntas. La duración del examen es de 150 minutos y no hay ninguna calificación negativa para respuestas erróneas. Cada pregunta lleva una marca. </p>
-
- <h3>Consejos de preparación del ICET</h3>
-<p>Para superar el examen ICET, necesitas seguir algunos consejos de preparación inteligentes que te ayudarán a mejorar tu velocidad, precisión y confianza. Estos son algunos de ellos:</p>
-<ul>
-<li>Comience su preparación temprano y haga un horario realista que cubra todos los temas en el programa de estudios. </li>
-<li>Consulte buenas fuentes de material de estudio que expliquen los conceptos claramente y proporcionen amplias preguntas de práctica. </li>
-<li>Resolver documentos de preguntas del año anterior y simulacros de pruebas con regularidad para familiarizarse con el patrón de examen, nivel de dificultad, y la gestión del tiempo. </li>
-<li>Revise las fórmulas importantes, accesos directos y trucos con frecuencia y tome notas de ellos para una referencia rápida. </li>
-<li>Trabaja en tus áreas débiles y despeja tus dudas con expertos o compañeros. </li>
-<li>Lee periódicos, revistas y libros para mejorar tu vocabulario y habilidades de comprensión. </li>
-<li>Mantenga su salud y bienestar comiendo bien, durmiendo bien y manteniéndose positivo. </li>
-</ul>
- <h2>¿Cómo descargar el boleto de la sala ICET 2023? </h2>
-<p>El TS ICET hall ticket 2023 es un documento que sirve como un pase de entrada para los candidatos al centro de examen. Contiene información importante como su nombre, número de lista, fecha del examen, hora, lugar e instrucciones. Sin el boleto de la sala, no se le permitirá entrar en la sala de examen o tomar el examen. Por lo tanto, es esencial descargar su boleto tan pronto como sea liberado por las autoridades examinadoras. </p>
- <h3>Requisitos para descargar el boleto de la sala ICET 2023</h3>
-<p>Para descargar su boleto ICET hall 2023, necesitará las siguientes cosas:</p>
-<p></p>
-<ul>
-<li>Un ordenador o un smartphone con acceso a Internet. </li>
-<li>Un navegador web que soporta el sitio web oficial de TS ICET (icet.tsche.ac.in). </li>
-<li>Su número de registro y fecha de nacimiento según lo ingresado durante el proceso de solicitud en línea. </li>
-<li>Una impresora o un lector de PDF para guardar e imprimir su entrada. </li>
-</ul>
-
-<p>El procedimiento para descargar su boleto ICET hall 2023 es simple y directo. Solo tiene que seguir estos pasos:</p>
-<ol>
-<li>Visite el sitio web oficial de TS ICET (icet.tsche.ac.in) y haga clic en el enlace que dice "Download Hall Ticket". </li>
-<li>Introduzca su número de registro y fecha de nacimiento en los campos dados y haga clic en "Enviar". </li>
-<li>Su ticket de entrada se mostrará en la pantalla. Compruebe todos los detalles cuidadosamente y verifique con su formulario de solicitud. </li>
-<li>Si todo es correcto, descargue su boleto de pasillo y tome una impresión de él. También puede guardarlo como un archivo PDF en su dispositivo para referencia futura. </li>
-</ol>
- <h3>Detalles mencionados en el boleto de la sala ICET 2023</h3>
-<p>Su boleto de la sala ICET 2023 contendrá los siguientes detalles:</p>
-<tabla>
-<tr><th>Detalle</th><th>Descripción</th></tr>
-<tr><td>Nombre del candidato</td><td>Su nombre completo durante el proceso de solicitud en línea. </td></tr>
-<tr><td>Número de lista</td><td>Su número de identificación único asignado por las autoridades del examen. </td></tr>
-<tr><td>Fecha del examen</td><td>La fecha en la que aparecerá para el examen ICET. </td></tr>
-<tr><td>Tiempo de examen</td><td>La franja de tiempo asignada para tomar el examen. </td></tr>
-<tr><td>Lugar del examen</td><td>El nombre y la dirección del centro de examen donde realizará el examen. </td></tr>
-<tr><td>Fotografía y firma</td><td>Su fotografía escaneada y su firma tal como fueron cargadas durante el proceso de solicitud en línea. </td></tr>
-<tr><td>Instrucciones para los candidatos</td><td>Algunas pautas generales y específicas que debe seguir antes, durante y después del examen. </td></tr>
-</tabla>
- <h3> ¿Cómo rectificar errores en el ticket de la sala ICET 2023? </h3>
-
- <h2>¿Qué hacer después de descargar el boleto de la sala ICET 2023? </h2>
-<p>Después de descargar su boleto ICET hall 2023, debe hacer las siguientes cosas:</p>
- <h3>Documentos para llevar junto con el boleto de la sala ICET 2023</h3>
-<p>Usted debe llevar los siguientes documentos junto con su boleto de la sala ICET 2023 en el día del examen:</p>
-<ul>
-<li>Una prueba de identidad con fotografía válida, como tarjeta Aadhaar, tarjeta PAN, tarjeta de identificación del votante, pasaporte, licencia de conducir, etc.</li>
-<li>Un bolígrafo (negro o azul) para marcar las respuestas en la hoja OMR. </li>
-<li>Un portapapeles o una tabla para escribir cómodamente en la hoja OMR. </li>
-<li>Una fotografía de tamaño de pasaporte (la misma que se subió durante la solicitud en línea) para pegar en la hoja de asistencia. </li>
-</ul>
- <h3>Instrucciones a seguir en el día del examen</h3>
-<p>Debes seguir estas instrucciones el día del examen para asegurar una experiencia suave y sin problemas:</p>
-<ul>
-<li>Llegar al centro de examen al menos una hora antes de la hora programada del examen. Los recién llegados no podrán entrar en la sala de examen. </li>
-<li> Lea atentamente y siga todas las instrucciones que figuran en la entrada y en la hoja OMR. </li>
-<li>No lleve aparatos electrónicos como teléfonos móviles, calculadoras, relojes, cámaras, etc. a la sala de examen. Están estrictamente prohibidas y pueden conducir a la descalificación. </li>
-<li>No se entregue a ningún medio injusto o mala práctica durante el examen. Si es encontrado culpable, será excluido del examen y puede enfrentar acciones legales. </li>
-<li>Marque sus respuestas cuidadosa y cuidadosamente en la hoja OMR. Use solo un bolígrafo y no haga ninguna marca o corrección en la hoja. </li>
-<li>Entregue su hoja de OMR y su boleto de pasillo al invigilator antes de salir de la sala de examen. </li>
-</ul>
- <h2>Proceso de asesoramiento y admisión del ICET</h2>
-
- <h3>Calendario y etapas del asesoramiento del ICET 2023</h3>
-<p>El calendario y las etapas del asesoramiento del ICET 2023 son las siguientes:</p>
-<tabla>
-<tr><th>Etapa</th><th>Descripción</th><th>Fecha (provisional)</th></tr>
-<tr><td>Inscripción y pago de la cuota de asesoramiento</td><td>Los candidatos tendrán que registrarse en línea en el sitio web oficial de TS ICET y pagar la cuota de asesoramiento de Rs. 1200 (Rs. 600 para SC/ST) a través de tarjeta de débito/tarjeta de crédito/banca neta. </td><td>Primera semana de julio de 2023</td></tr>
-<tr><td>Verificación de documentos</td><td>Los candidatos tendrán que visitar los centros de línea de ayuda designados (HLCs) para verificar sus documentos originales, tales como boleto de pasillo, tarjeta de rango, hojas de marcado, certificados, certificado de casta, certificado de ingresos, etc.</td><td>Segunda semana de julio de 2023</td></tr>
-<tr><td>Entrada de opciones web</td><td>Los candidatos tendrán que iniciar sesión en el sitio web oficial de TS ICET e ingresar sus preferencias de universidades y cursos en el orden de prioridad. También pueden modificar o congelar sus opciones antes de la última fecha. </td><td>Tercera semana de julio de 2023</td></tr>
-<tr><td>Asignación de asientos</td><td>Se asignarán asientos a los candidatos en función de su rango, categoría, disponibilidad de asientos y opciones web. El resultado de la asignación de escaños se publicará en línea en el sitio web oficial de TS ICET. Los candidatos tendrán que descargar su carta de asignación provisional y pagar la cuota de matrícula en línea. </td><td>Última semana de julio de 2023</td></tr>
-<tr><td>Presentación de informes a la universidad asignada</td><td>Los candidatos tendrán que informar a la universidad asignada con su carta de asignación, recibo de cuota y documentos originales para la confirmación de la admisión. </td><td>Primera semana de agosto de 2023</td></tr>
-</tabla>
- <h3>Documentos necesarios para el asesoramiento del ICET 2023</h3>
-<p>Los documentos requeridos para el asesoramiento ICET 2023 son los siguientes:</p>
-<ul>
-<li>ICET hall ticket 2023</li>
-<li>ICET rank card 2023</li>
-<li>Hojas de marcado de grados y certificados</li>
-
-<li>Hojas de marcado y certificados SSC</li>
-<li>Certificados de estudio de Clase IX a Grado</li>
-<li>Certificado de casta (si procede)</li>
-<li>Certificado de ingresos (si procede)</li>
-<li>Tarjeta de Aadhaar</li>
-<li>Certificado de residencia (si procede)</li>
-<li>Certificado NCC/Deportes/CAP/PH (si procede)</li>
-<li>Certificado de migrante (si procede)</li>
-<li>Seis fotografías tamaño pasaporte</li>
-</ul>
- <h2>Conclusión</h2>
-<p>En este artículo, le hemos proporcionado toda la información que necesita saber sobre cómo descargar su boleto ICET hall 2023. Esperamos que este artículo le haya ayudado a entender la importancia, el procedimiento, los detalles y los documentos relacionados con su boleto. También esperamos que haya encontrado algunos consejos útiles sobre cómo prepararse para el examen y qué hacer después de descargar su boleto de entrada. Le deseamos todo lo mejor para su examen ICET y proceso de admisión. </p>
- <h2>Preguntas frecuentes (preguntas frecuentes)</h2>
-<p>Aquí están algunas de las preguntas comunes que los candidatos pueden tener con respecto a su boleto de la sala ICET 2023:</p>
- <h4>Q1: ¿Cuándo saldrá el boleto de la sala ICET 2023? </h4>
-<p>A1: Se espera que el boleto de la sala ICET 2023 sea lanzado en la última semana de junio de 2023 en el sitio web oficial de TS ICET (icet.tsche.ac.in). </p>
- <h4>Q2: ¿Cómo puedo descargar mi boleto de la sala ICET 2023? </h4>
-<p>A2: Puede descargar su boleto de la sala ICET 2023 visitando el sitio web oficial de TS ICET (icet.tsche.ac.in) e ingresando su número de registro y fecha de nacimiento. También puede seguir los pasos dados en este artículo para descargar su boleto. </p>
- <h4>Q3: ¿Qué pasa si olvido mi número de registro o fecha de nacimiento? </h4>
-<p>A3: Si olvida su número de registro o fecha de nacimiento, puede recuperarlos haciendo clic en el enlace "Olvidé el número de registro" o "Olvidé la fecha de nacimiento" en la página de descarga del boleto de entrada. Tendrá que introducir su nombre, número de teléfono móvil, ID de correo electrónico y número de boleto de la sala de examen para obtener sus datos. </p>
-
-<p>A4: Si encuentra algún error o discrepancia en su boleto de la sala ICET 2023, como errores de ortografía, detalles incorrectos o información que falta, debe comunicarse inmediatamente con las autoridades examinadoras y hacer que se rectifique. Puede hacerlo enviando un correo electrónico a [email protected] o llamando al 0870-2438088. </p>
- <h4>Q5: ¿Cuáles son los documentos que necesito llevar junto con mi boleto de la sala ICET 2023? </h4>
-<p>A5: Usted necesita llevar los siguientes documentos junto con su boleto de la sala ICET 2023 en el día del examen:</p>
-<ul>
-<li>Una prueba de identidad con fotografía válida, como tarjeta Aadhaar, tarjeta PAN, tarjeta de identificación del votante, pasaporte, licencia de conducir, etc.</li>
-<li>Un bolígrafo (negro o azul) para marcar las respuestas en la hoja OMR. </li>
-<li>Un portapapeles o una tabla para escribir cómodamente en la hoja OMR. </li>
-<li>Una fotografía de tamaño de pasaporte (la misma que se subió durante la solicitud en línea) para pegar en la hoja de asistencia. </li>
-</ul></p> 64aa2da5cf<br />
-<br />
-<br />

spaces/BetterAPI/BetterChat_new/src/styles/main.css

@@ -1,17 +0,0 @@
-@import "./highlight-js.css";
-
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
-
-@layer components {
-	.btn {
-		@apply inline-flex flex-shrink-0 cursor-pointer select-none items-center justify-center whitespace-nowrap outline-none transition-all focus:ring disabled:cursor-default;
-	}
-}
-
-@layer utilities {
-	.scrollbar-custom {
-		@apply scrollbar-thin scrollbar-track-transparent scrollbar-thumb-black/10 scrollbar-thumb-rounded-full scrollbar-w-1 hover:scrollbar-thumb-black/20 dark:scrollbar-thumb-white/10 dark:hover:scrollbar-thumb-white/20;
-	}
-}

spaces/Big-Web/MMSD/env/Lib/site-packages/jmespath/visitor.py

@@ -1,328 +0,0 @@
-import operator
-
-from jmespath import functions
-from jmespath.compat import string_type
-from numbers import Number
-
-
-def _equals(x, y):
-    if _is_special_number_case(x, y):
-        return False
-    else:
-        return x == y
-
-
-def _is_special_number_case(x, y):
-    # We need to special case comparing 0 or 1 to
-    # True/False.  While normally comparing any
-    # integer other than 0/1 to True/False will always
-    # return False.  However 0/1 have this:
-    # >>> 0 == True
-    # False
-    # >>> 0 == False
-    # True
-    # >>> 1 == True
-    # True
-    # >>> 1 == False
-    # False
-    #
-    # Also need to consider that:
-    # >>> 0 in [True, False]
-    # True
-    if _is_actual_number(x) and x in (0, 1):
-        return isinstance(y, bool)
-    elif _is_actual_number(y) and y in (0, 1):
-        return isinstance(x, bool)
-
-
-def _is_comparable(x):
-    # The spec doesn't officially support string types yet,
-    # but enough people are relying on this behavior that
-    # it's been added back.  This should eventually become
-    # part of the official spec.
-    return _is_actual_number(x) or isinstance(x, string_type)
-
-
-def _is_actual_number(x):
-    # We need to handle python's quirkiness with booleans,
-    # specifically:
-    #
-    # >>> isinstance(False, int)
-    # True
-    # >>> isinstance(True, int)
-    # True
-    if isinstance(x, bool):
-        return False
-    return isinstance(x, Number)
-
-
-class Options(object):
-    """Options to control how a JMESPath function is evaluated."""
-    def __init__(self, dict_cls=None, custom_functions=None):
-        #: The class to use when creating a dict.  The interpreter
-        #  may create dictionaries during the evaluation of a JMESPath
-        #  expression.  For example, a multi-select hash will
-        #  create a dictionary.  By default we use a dict() type.
-        #  You can set this value to change what dict type is used.
-        #  The most common reason you would change this is if you
-        #  want to set a collections.OrderedDict so that you can
-        #  have predictable key ordering.
-        self.dict_cls = dict_cls
-        self.custom_functions = custom_functions
-
-
-class _Expression(object):
-    def __init__(self, expression, interpreter):
-        self.expression = expression
-        self.interpreter = interpreter
-
-    def visit(self, node, *args, **kwargs):
-        return self.interpreter.visit(node, *args, **kwargs)
-
-
-class Visitor(object):
-    def __init__(self):
-        self._method_cache = {}
-
-    def visit(self, node, *args, **kwargs):
-        node_type = node['type']
-        method = self._method_cache.get(node_type)
-        if method is None:
-            method = getattr(
-                self, 'visit_%s' % node['type'], self.default_visit)
-            self._method_cache[node_type] = method
-        return method(node, *args, **kwargs)
-
-    def default_visit(self, node, *args, **kwargs):
-        raise NotImplementedError("default_visit")
-
-
-class TreeInterpreter(Visitor):
-    COMPARATOR_FUNC = {
-        'eq': _equals,
-        'ne': lambda x, y: not _equals(x, y),
-        'lt': operator.lt,
-        'gt': operator.gt,
-        'lte': operator.le,
-        'gte': operator.ge
-    }
-    _EQUALITY_OPS = ['eq', 'ne']
-    MAP_TYPE = dict
-
-    def __init__(self, options=None):
-        super(TreeInterpreter, self).__init__()
-        self._dict_cls = self.MAP_TYPE
-        if options is None:
-            options = Options()
-        self._options = options
-        if options.dict_cls is not None:
-            self._dict_cls = self._options.dict_cls
-        if options.custom_functions is not None:
-            self._functions = self._options.custom_functions
-        else:
-            self._functions = functions.Functions()
-
-    def default_visit(self, node, *args, **kwargs):
-        raise NotImplementedError(node['type'])
-
-    def visit_subexpression(self, node, value):
-        result = value
-        for node in node['children']:
-            result = self.visit(node, result)
-        return result
-
-    def visit_field(self, node, value):
-        try:
-            return value.get(node['value'])
-        except AttributeError:
-            return None
-
-    def visit_comparator(self, node, value):
-        # Common case: comparator is == or !=
-        comparator_func = self.COMPARATOR_FUNC[node['value']]
-        if node['value'] in self._EQUALITY_OPS:
-            return comparator_func(
-                self.visit(node['children'][0], value),
-                self.visit(node['children'][1], value)
-            )
-        else:
-            # Ordering operators are only valid for numbers.
-            # Evaluating any other type with a comparison operator
-            # will yield a None value.
-            left = self.visit(node['children'][0], value)
-            right = self.visit(node['children'][1], value)
-            num_types = (int, float)
-            if not (_is_comparable(left) and
-                    _is_comparable(right)):
-                return None
-            return comparator_func(left, right)
-
-    def visit_current(self, node, value):
-        return value
-
-    def visit_expref(self, node, value):
-        return _Expression(node['children'][0], self)
-
-    def visit_function_expression(self, node, value):
-        resolved_args = []
-        for child in node['children']:
-            current = self.visit(child, value)
-            resolved_args.append(current)
-        return self._functions.call_function(node['value'], resolved_args)
-
-    def visit_filter_projection(self, node, value):
-        base = self.visit(node['children'][0], value)
-        if not isinstance(base, list):
-            return None
-        comparator_node = node['children'][2]
-        collected = []
-        for element in base:
-            if self._is_true(self.visit(comparator_node, element)):
-                current = self.visit(node['children'][1], element)
-                if current is not None:
-                    collected.append(current)
-        return collected
-
-    def visit_flatten(self, node, value):
-        base = self.visit(node['children'][0], value)
-        if not isinstance(base, list):
-            # Can't flatten the object if it's not a list.
-            return None
-        merged_list = []
-        for element in base:
-            if isinstance(element, list):
-                merged_list.extend(element)
-            else:
-                merged_list.append(element)
-        return merged_list
-
-    def visit_identity(self, node, value):
-        return value
-
-    def visit_index(self, node, value):
-        # Even though we can index strings, we don't
-        # want to support that.
-        if not isinstance(value, list):
-            return None
-        try:
-            return value[node['value']]
-        except IndexError:
-            return None
-
-    def visit_index_expression(self, node, value):
-        result = value
-        for node in node['children']:
-            result = self.visit(node, result)
-        return result
-
-    def visit_slice(self, node, value):
-        if not isinstance(value, list):
-            return None
-        s = slice(*node['children'])
-        return value[s]
-
-    def visit_key_val_pair(self, node, value):
-        return self.visit(node['children'][0], value)
-
-    def visit_literal(self, node, value):
-        return node['value']
-
-    def visit_multi_select_dict(self, node, value):
-        if value is None:
-            return None
-        collected = self._dict_cls()
-        for child in node['children']:
-            collected[child['value']] = self.visit(child, value)
-        return collected
-
-    def visit_multi_select_list(self, node, value):
-        if value is None:
-            return None
-        collected = []
-        for child in node['children']:
-            collected.append(self.visit(child, value))
-        return collected
-
-    def visit_or_expression(self, node, value):
-        matched = self.visit(node['children'][0], value)
-        if self._is_false(matched):
-            matched = self.visit(node['children'][1], value)
-        return matched
-
-    def visit_and_expression(self, node, value):
-        matched = self.visit(node['children'][0], value)
-        if self._is_false(matched):
-            return matched
-        return self.visit(node['children'][1], value)
-
-    def visit_not_expression(self, node, value):
-        original_result = self.visit(node['children'][0], value)
-        if _is_actual_number(original_result) and original_result == 0:
-            # Special case for 0, !0 should be false, not true.
-            # 0 is not a special cased integer in jmespath.
-            return False
-        return not original_result
-
-    def visit_pipe(self, node, value):
-        result = value
-        for node in node['children']:
-            result = self.visit(node, result)
-        return result
-
-    def visit_projection(self, node, value):
-        base = self.visit(node['children'][0], value)
-        if not isinstance(base, list):
-            return None
-        collected = []
-        for element in base:
-            current = self.visit(node['children'][1], element)
-            if current is not None:
-                collected.append(current)
-        return collected
-
-    def visit_value_projection(self, node, value):
-        base = self.visit(node['children'][0], value)
-        try:
-            base = base.values()
-        except AttributeError:
-            return None
-        collected = []
-        for element in base:
-            current = self.visit(node['children'][1], element)
-            if current is not None:
-                collected.append(current)
-        return collected
-
-    def _is_false(self, value):
-        # This looks weird, but we're explicitly using equality checks
-        # because the truth/false values are different between
-        # python and jmespath.
-        return (value == '' or value == [] or value == {} or value is None or
-                value is False)
-
-    def _is_true(self, value):
-        return not self._is_false(value)
-
-
-class GraphvizVisitor(Visitor):
-    def __init__(self):
-        super(GraphvizVisitor, self).__init__()
-        self._lines = []
-        self._count = 1
-
-    def visit(self, node, *args, **kwargs):
-        self._lines.append('digraph AST {')
-        current = '%s%s' % (node['type'], self._count)
-        self._count += 1
-        self._visit(node, current)
-        self._lines.append('}')
-        return '\n'.join(self._lines)
-
-    def _visit(self, node, current):
-        self._lines.append('%s [label="%s(%s)"]' % (
-            current, node['type'], node.get('value', '')))
-        for child in node.get('children', []):
-            child_name = '%s%s' % (child['type'], self._count)
-            self._count += 1
-            self._lines.append('  %s -> %s' % (current, child_name))
-            self._visit(child, child_name)

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

@@ -1,132 +0,0 @@
-"""
-Package containing all pip commands
-"""
-
-import importlib
-from collections import namedtuple
-from typing import Any, Dict, Optional
-
-from pip._internal.cli.base_command import Command
-
-CommandInfo = namedtuple("CommandInfo", "module_path, class_name, summary")
-
-# This dictionary does a bunch of heavy lifting for help output:
-# - Enables avoiding additional (costly) imports for presenting `--help`.
-# - The ordering matters for help display.
-#
-# Even though the module path starts with the same "pip._internal.commands"
-# prefix, the full path makes testing easier (specifically when modifying
-# `commands_dict` in test setup / teardown).
-commands_dict: Dict[str, CommandInfo] = {
-    "install": CommandInfo(
-        "pip._internal.commands.install",
-        "InstallCommand",
-        "Install packages.",
-    ),
-    "download": CommandInfo(
-        "pip._internal.commands.download",
-        "DownloadCommand",
-        "Download packages.",
-    ),
-    "uninstall": CommandInfo(
-        "pip._internal.commands.uninstall",
-        "UninstallCommand",
-        "Uninstall packages.",
-    ),
-    "freeze": CommandInfo(
-        "pip._internal.commands.freeze",
-        "FreezeCommand",
-        "Output installed packages in requirements format.",
-    ),
-    "inspect": CommandInfo(
-        "pip._internal.commands.inspect",
-        "InspectCommand",
-        "Inspect the python environment.",
-    ),
-    "list": CommandInfo(
-        "pip._internal.commands.list",
-        "ListCommand",
-        "List installed packages.",
-    ),
-    "show": CommandInfo(
-        "pip._internal.commands.show",
-        "ShowCommand",
-        "Show information about installed packages.",
-    ),
-    "check": CommandInfo(
-        "pip._internal.commands.check",
-        "CheckCommand",
-        "Verify installed packages have compatible dependencies.",
-    ),
-    "config": CommandInfo(
-        "pip._internal.commands.configuration",
-        "ConfigurationCommand",
-        "Manage local and global configuration.",
-    ),
-    "search": CommandInfo(
-        "pip._internal.commands.search",
-        "SearchCommand",
-        "Search PyPI for packages.",
-    ),
-    "cache": CommandInfo(
-        "pip._internal.commands.cache",
-        "CacheCommand",
-        "Inspect and manage pip's wheel cache.",
-    ),
-    "index": CommandInfo(
-        "pip._internal.commands.index",
-        "IndexCommand",
-        "Inspect information available from package indexes.",
-    ),
-    "wheel": CommandInfo(
-        "pip._internal.commands.wheel",
-        "WheelCommand",
-        "Build wheels from your requirements.",
-    ),
-    "hash": CommandInfo(
-        "pip._internal.commands.hash",
-        "HashCommand",
-        "Compute hashes of package archives.",
-    ),
-    "completion": CommandInfo(
-        "pip._internal.commands.completion",
-        "CompletionCommand",
-        "A helper command used for command completion.",
-    ),
-    "debug": CommandInfo(
-        "pip._internal.commands.debug",
-        "DebugCommand",
-        "Show information useful for debugging.",
-    ),
-    "help": CommandInfo(
-        "pip._internal.commands.help",
-        "HelpCommand",
-        "Show help for commands.",
-    ),
-}
-
-
-def create_command(name: str, **kwargs: Any) -> Command:
-    """
-    Create an instance of the Command class with the given name.
-    """
-    module_path, class_name, summary = commands_dict[name]
-    module = importlib.import_module(module_path)
-    command_class = getattr(module, class_name)
-    command = command_class(name=name, summary=summary, **kwargs)
-
-    return command
-
-
-def get_similar_commands(name: str) -> Optional[str]:
-    """Command name auto-correct."""
-    from difflib import get_close_matches
-
-    name = name.lower()
-
-    close_commands = get_close_matches(name, commands_dict.keys())
-
-    if close_commands:
-        return close_commands[0]
-    else:
-        return None

spaces/CVPR/Dual-Key_Backdoor_Attacks/datagen/detectron2/detectron2/modeling/meta_arch/panoptic_fpn.py

@@ -1,218 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
-
-import torch
-from torch import nn
-
-from detectron2.structures import ImageList
-
-from ..backbone import build_backbone
-from ..postprocessing import detector_postprocess, sem_seg_postprocess
-from ..proposal_generator import build_proposal_generator
-from ..roi_heads import build_roi_heads
-from .build import META_ARCH_REGISTRY
-from .semantic_seg import build_sem_seg_head
-
-__all__ = ["PanopticFPN"]
-
-
-@META_ARCH_REGISTRY.register()
-class PanopticFPN(nn.Module):
-    """
-    Main class for Panoptic FPN architectures (see https://arxiv.org/abs/1901.02446).
-    """
-
-    def __init__(self, cfg):
-        super().__init__()
-
-        self.device = torch.device(cfg.MODEL.DEVICE)
-
-        self.instance_loss_weight = cfg.MODEL.PANOPTIC_FPN.INSTANCE_LOSS_WEIGHT
-
-        # options when combining instance & semantic outputs
-        self.combine_on = cfg.MODEL.PANOPTIC_FPN.COMBINE.ENABLED
-        self.combine_overlap_threshold = cfg.MODEL.PANOPTIC_FPN.COMBINE.OVERLAP_THRESH
-        self.combine_stuff_area_limit = cfg.MODEL.PANOPTIC_FPN.COMBINE.STUFF_AREA_LIMIT
-        self.combine_instances_confidence_threshold = (
-            cfg.MODEL.PANOPTIC_FPN.COMBINE.INSTANCES_CONFIDENCE_THRESH
-        )
-
-        self.backbone = build_backbone(cfg)
-        self.proposal_generator = build_proposal_generator(cfg, self.backbone.output_shape())
-        self.roi_heads = build_roi_heads(cfg, self.backbone.output_shape())
-        self.sem_seg_head = build_sem_seg_head(cfg, self.backbone.output_shape())
-
-        pixel_mean = torch.Tensor(cfg.MODEL.PIXEL_MEAN).to(self.device).view(3, 1, 1)
-        pixel_std = torch.Tensor(cfg.MODEL.PIXEL_STD).to(self.device).view(3, 1, 1)
-        self.normalizer = lambda x: (x - pixel_mean) / pixel_std
-        self.to(self.device)
-
-    def forward(self, batched_inputs):
-        """
-        Args:
-            batched_inputs: a list, batched outputs of :class:`DatasetMapper`.
-                Each item in the list contains the inputs for one image.
-
-                For now, each item in the list is a dict that contains:
-
-                * "image": Tensor, image in (C, H, W) format.
-                * "instances": Instances
-                * "sem_seg": semantic segmentation ground truth.
-                * Other information that's included in the original dicts, such as:
-                  "height", "width" (int): the output resolution of the model, used in inference.
-                  See :meth:`postprocess` for details.
-
-        Returns:
-            list[dict]:
-                each dict is the results for one image. The dict contains the following keys:
-
-                * "instances": see :meth:`GeneralizedRCNN.forward` for its format.
-                * "sem_seg": see :meth:`SemanticSegmentor.forward` for its format.
-                * "panoptic_seg": available when `PANOPTIC_FPN.COMBINE.ENABLED`.
-                  See the return value of
-                  :func:`combine_semantic_and_instance_outputs` for its format.
-        """
-        images = [x["image"].to(self.device) for x in batched_inputs]
-        images = [self.normalizer(x) for x in images]
-        images = ImageList.from_tensors(images, self.backbone.size_divisibility)
-        features = self.backbone(images.tensor)
-
-        if "proposals" in batched_inputs[0]:
-            proposals = [x["proposals"].to(self.device) for x in batched_inputs]
-            proposal_losses = {}
-
-        if "sem_seg" in batched_inputs[0]:
-            gt_sem_seg = [x["sem_seg"].to(self.device) for x in batched_inputs]
-            gt_sem_seg = ImageList.from_tensors(
-                gt_sem_seg, self.backbone.size_divisibility, self.sem_seg_head.ignore_value
-            ).tensor
-        else:
-            gt_sem_seg = None
-        sem_seg_results, sem_seg_losses = self.sem_seg_head(features, gt_sem_seg)
-
-        if "instances" in batched_inputs[0]:
-            gt_instances = [x["instances"].to(self.device) for x in batched_inputs]
-        else:
-            gt_instances = None
-        if self.proposal_generator:
-            proposals, proposal_losses = self.proposal_generator(images, features, gt_instances)
-        detector_results, detector_losses = self.roi_heads(
-            images, features, proposals, gt_instances
-        )
-
-        if self.training:
-            losses = {}
-            losses.update(sem_seg_losses)
-            losses.update({k: v * self.instance_loss_weight for k, v in detector_losses.items()})
-            losses.update(proposal_losses)
-            return losses
-
-        processed_results = []
-        for sem_seg_result, detector_result, input_per_image, image_size in zip(
-            sem_seg_results, detector_results, batched_inputs, images.image_sizes
-        ):
-            height = input_per_image.get("height", image_size[0])
-            width = input_per_image.get("width", image_size[1])
-            sem_seg_r = sem_seg_postprocess(sem_seg_result, image_size, height, width)
-            detector_r = detector_postprocess(detector_result, height, width)
-
-            processed_results.append({"sem_seg": sem_seg_r, "instances": detector_r})
-
-            if self.combine_on:
-                panoptic_r = combine_semantic_and_instance_outputs(
-                    detector_r,
-                    sem_seg_r.argmax(dim=0),
-                    self.combine_overlap_threshold,
-                    self.combine_stuff_area_limit,
-                    self.combine_instances_confidence_threshold,
-                )
-                processed_results[-1]["panoptic_seg"] = panoptic_r
-        return processed_results
-
-
-def combine_semantic_and_instance_outputs(
-    instance_results,
-    semantic_results,
-    overlap_threshold,
-    stuff_area_limit,
-    instances_confidence_threshold,
-):
-    """
-    Implement a simple combining logic following
-    "combine_semantic_and_instance_predictions.py" in panopticapi
-    to produce panoptic segmentation outputs.
-
-    Args:
-        instance_results: output of :func:`detector_postprocess`.
-        semantic_results: an (H, W) tensor, each is the contiguous semantic
-            category id
-
-    Returns:
-        panoptic_seg (Tensor): of shape (height, width) where the values are ids for each segment.
-        segments_info (list[dict]): Describe each segment in `panoptic_seg`.
-            Each dict contains keys "id", "category_id", "isthing".
-    """
-    panoptic_seg = torch.zeros_like(semantic_results, dtype=torch.int32)
-
-    # sort instance outputs by scores
-    sorted_inds = torch.argsort(-instance_results.scores)
-
-    current_segment_id = 0
-    segments_info = []
-
-    instance_masks = instance_results.pred_masks.to(dtype=torch.bool, device=panoptic_seg.device)
-
-    # Add instances one-by-one, check for overlaps with existing ones
-    for inst_id in sorted_inds:
-        score = instance_results.scores[inst_id].item()
-        if score < instances_confidence_threshold:
-            break
-        mask = instance_masks[inst_id]  # H,W
-        mask_area = mask.sum().item()
-
-        if mask_area == 0:
-            continue
-
-        intersect = (mask > 0) & (panoptic_seg > 0)
-        intersect_area = intersect.sum().item()
-
-        if intersect_area * 1.0 / mask_area > overlap_threshold:
-            continue
-
-        if intersect_area > 0:
-            mask = mask & (panoptic_seg == 0)
-
-        current_segment_id += 1
-        panoptic_seg[mask] = current_segment_id
-        segments_info.append(
-            {
-                "id": current_segment_id,
-                "isthing": True,
-                "score": score,
-                "category_id": instance_results.pred_classes[inst_id].item(),
-                "instance_id": inst_id.item(),
-            }
-        )
-
-    # Add semantic results to remaining empty areas
-    semantic_labels = torch.unique(semantic_results).cpu().tolist()
-    for semantic_label in semantic_labels:
-        if semantic_label == 0:  # 0 is a special "thing" class
-            continue
-        mask = (semantic_results == semantic_label) & (panoptic_seg == 0)
-        mask_area = mask.sum().item()
-        if mask_area < stuff_area_limit:
-            continue
-
-        current_segment_id += 1
-        panoptic_seg[mask] = current_segment_id
-        segments_info.append(
-            {
-                "id": current_segment_id,
-                "isthing": False,
-                "category_id": semantic_label,
-                "area": mask_area,
-            }
-        )
-
-    return panoptic_seg, segments_info

spaces/CVPR/Dual-Key_Backdoor_Attacks/datagen/detectron2/projects/DensePose/doc/TOOL_QUERY_DB.md

@@ -1,105 +0,0 @@
-
-# Query Dataset
-
-`query_db` is a tool to print or visualize DensePose data from a dataset.
-It has two modes: `print` and `show` to output dataset entries to standard
-output or to visualize them on images.
-
-## Print Mode
-
-The general command form is:
-```bash
-python query_db.py print [-h] [-v] [--max-entries N] <dataset> <selector>
-```
-
-There are two mandatory arguments:
- - `<dataset>`, DensePose dataset specification, from which to select
-   the entries (e.g. `densepose_coco_2014_train`).
- - `<selector>`, dataset entry selector which can be a single specification,
-   or a comma-separated list of specifications of the form
-   `field[:type]=value` for exact match with the value
-   or `field[:type]=min-max` for a range of values
-
-One can additionally limit the maximum number of entries to output
-by providing `--max-entries` argument.
-
-Examples:
-
-1. Output at most 10 first entries from the `densepose_coco_2014_train` dataset:
-```bash
-python query_db.py print densepose_coco_2014_train \* --max-entries 10 -v
-```
-
-2. Output all entries with `file_name` equal to `COCO_train2014_000000000036.jpg`: 
-```bash
-python query_db.py print densepose_coco_2014_train file_name=COCO_train2014_000000000036.jpg -v
-```
-
-3. Output all entries with `image_id` between 36 and 156:
-```bash
-python query_db.py print densepose_coco_2014_train image_id:int=36-156 -v
-```
-
-## Visualization Mode
-
-The general command form is:
-```bash
-python query_db.py show [-h] [-v] [--max-entries N] [--output <image_file>] <dataset> <selector> <visualizations>
-```
-
-There are three mandatory arguments:
- - `<dataset>`, DensePose dataset specification, from which to select
-   the entries (e.g. `densepose_coco_2014_train`).
- - `<selector>`, dataset entry selector which can be a single specification,
-   or a comma-separated list of specifications of the form
-   `field[:type]=value` for exact match with the value
-   or `field[:type]=min-max` for a range of values
- - `<visualizations>`, visualizations specifier; currently available visualizations are:
-   * `bbox` - bounding boxes of annotated persons;
-   * `dp_i` - annotated points colored according to the containing part;
-   * `dp_pts` - annotated points in green color;
-   * `dp_segm` - segmentation masks for annotated persons;
-   * `dp_u` - annotated points colored according to their U coordinate in part parameterization;
-   * `dp_v` - annotated points colored according to their V coordinate in part parameterization;
-
-One can additionally provide one of the two optional arguments:
- - `--max_entries` to limit the maximum number of entries to visualize
- - `--output` to provide visualization file name template, which defaults
-   to `output.png`. To distinguish file names for different dataset
-   entries, the tool appends 1-based entry index to the output file name,
-   e.g. output.0001.png, output.0002.png, etc.
-
-The following examples show how to output different visualizations for image with `id = 322`
-from `densepose_coco_2014_train` dataset:
-
-1. Show bounding box and segmentation:
-```bash
-python query_db.py show densepose_coco_2014_train image_id:int=322 bbox,dp_segm -v
-```
-![Bounding Box + Segmentation Visualization](images/vis_bbox_dp_segm.jpg)
-
-2. Show bounding box and points colored according to the containing part:
-```bash
-python query_db.py show densepose_coco_2014_train image_id:int=322 bbox,dp_i -v
-```
-![Bounding Box + Point Label Visualization](images/vis_bbox_dp_i.jpg)
-
-3. Show bounding box and annotated points in green color:
-```bash
-python query_db.py show densepose_coco_2014_train image_id:int=322 bbox,dp_segm -v
-```
-![Bounding Box + Point Visualization](images/vis_bbox_dp_pts.jpg)
-
-4. Show bounding box and annotated points colored according to their U coordinate in part parameterization:
-```bash
-python query_db.py show densepose_coco_2014_train image_id:int=322 bbox,dp_u -v
-```
-![Bounding Box + Point U Visualization](images/vis_bbox_dp_u.jpg)
-
-5. Show bounding box and annotated points colored according to their V coordinate in part parameterization:
-```bash
-python query_db.py show densepose_coco_2014_train image_id:int=322 bbox,dp_v -v
-```
-![Bounding Box + Point V Visualization](images/vis_bbox_dp_v.jpg)
-
-

spaces/CVPR/LIVE/thrust/thrust/detail/type_traits/is_metafunction_defined.h

@@ -1,41 +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/type_traits/has_nested_type.h>
-#include <thrust/detail/type_traits.h>
-
-namespace thrust
-{
-
-namespace detail
-{
-
-__THRUST_DEFINE_HAS_NESTED_TYPE(is_metafunction_defined, type)
-
-template<typename Metafunction>
-  struct enable_if_defined
-    : thrust::detail::lazy_enable_if<
-        is_metafunction_defined<Metafunction>::value,
-        Metafunction
-      >
-{};
-
-} // end detail
-
-} // end thrust
-

spaces/CVPR/LIVE/thrust/thrust/system/detail/generic/count.h

@@ -1,51 +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>
-#include <thrust/system/detail/generic/tag.h>
-
-namespace thrust
-{
-namespace system
-{
-namespace detail
-{
-namespace generic
-{
-
-
-template <typename DerivedPolicy, typename InputIterator, typename EqualityComparable>
-__host__ __device__
-typename thrust::iterator_traits<InputIterator>::difference_type
-count(thrust::execution_policy<DerivedPolicy> &exec, InputIterator first, InputIterator last, const EqualityComparable& value);
-
-
-template <typename DerivedPolicy, typename InputIterator, typename Predicate>
-__host__ __device__
-typename thrust::iterator_traits<InputIterator>::difference_type
-count_if(thrust::execution_policy<DerivedPolicy> &exec, InputIterator first, InputIterator last, Predicate pred);
-
-
-} // end namespace generic
-} // end namespace detail
-} // end namespace system
-} // end namespace thrust
-
-#include <thrust/system/detail/generic/count.inl>
-

spaces/CVPR/LIVE/thrust/thrust/system/tbb/detail/uninitialized_copy.h

@@ -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 uninitialized_copy
-#include <thrust/system/cpp/detail/uninitialized_copy.h>
-

spaces/CVPR/LIVE/winding_number.h

@@ -1,202 +0,0 @@
-#pragma once
-
-#include "diffvg.h"
-#include "scene.h"
-#include "shape.h"
-#include "solve.h"
-#include "vector.h"
-
-DEVICE
-int compute_winding_number(const Circle &circle, const Vector2f &pt) {
-    const auto &c = circle.center;
-    auto r = circle.radius;
-    // inside the circle: return 1, outside the circle: return 0
-    if (distance_squared(c, pt) < r * r) {
-        return 1;
-    } else {
-        return 0;
-    }
-}
-
-DEVICE
-int compute_winding_number(const Ellipse &ellipse, const Vector2f &pt) {
-    const auto &c = ellipse.center;
-    const auto &r = ellipse.radius;
-    // inside the ellipse: return 1, outside the ellipse: return 0
-    if (square(c.x - pt.x) / square(r.x) + square(c.y - pt.y) / square(r.y) < 1) {
-        return 1;
-    } else {
-        return 0;
-    }
-}
-
-DEVICE
-bool intersect(const AABB &box, const Vector2f &pt) {
-    if (pt.y < box.p_min.y || pt.y > box.p_max.y) {
-        return false;
-    }
-    if (pt.x > box.p_max.x) {
-        return false;
-    }
-    return true;
-}
-
-DEVICE
-int compute_winding_number(const Path &path, const BVHNode *bvh_nodes, const Vector2f &pt) {
-    // Shoot a horizontal ray from pt to right, intersect with all curves of the path,
-    // count intersection
-    auto num_segments = path.num_base_points;
-    constexpr auto max_bvh_size = 128;
-    int bvh_stack[max_bvh_size];
-    auto stack_size = 0;
-    auto winding_number = 0;
-    bvh_stack[stack_size++] = 2 * num_segments - 2;
-    while (stack_size > 0) {
-        const BVHNode &node = bvh_nodes[bvh_stack[--stack_size]];
-        if (node.child1 < 0) {
-            // leaf
-            auto base_point_id = node.child0;
-            auto point_id = - node.child1 - 1;
-            assert(base_point_id < num_segments);
-            assert(point_id < path.num_points);
-            if (path.num_control_points[base_point_id] == 0) {
-                // Straight line
-                auto i0 = point_id;
-                auto i1 = (point_id + 1) % path.num_points;
-                auto p0 = Vector2f{path.points[2 * i0], path.points[2 * i0 + 1]};
-                auto p1 = Vector2f{path.points[2 * i1], path.points[2 * i1 + 1]};
-                // intersect p0 + t * (p1 - p0) with pt + t' * (1, 0)
-                // solve:
-                // pt.x + t' = v0.x + t * (v1.x - v0.x)
-                // pt.y      = v0.y + t * (v1.y - v0.y)
-                if (p1.y != p0.y) {
-                    auto t = (pt.y - p0.y) / (p1.y - p0.y);
-                    if (t >= 0 && t <= 1) {
-                        auto tp = p0.x - pt.x + t * (p1.x - p0.x);
-                        if (tp >= 0) {
-                            if (p1.y - p0.y > 0) {
-                                winding_number += 1;
-                            } else {
-                                winding_number -= 1;
-                            }
-                        }
-                    }
-                }
-            } else if (path.num_control_points[base_point_id] == 1) {
-                // Quadratic Bezier curve
-                auto i0 = point_id;
-                auto i1 = point_id + 1;
-                auto i2 = (point_id + 2) % path.num_points;
-                auto p0 = Vector2f{path.points[2 * i0], path.points[2 * i0 + 1]};
-                auto p1 = Vector2f{path.points[2 * i1], path.points[2 * i1 + 1]};
-                auto p2 = Vector2f{path.points[2 * i2], path.points[2 * i2 + 1]};
-                // The curve is (1-t)^2p0 + 2(1-t)tp1 + t^2p2
-                // = (p0-2p1+p2)t^2+(-2p0+2p1)t+p0
-                // intersect with pt + t' * (1 0)
-                // solve
-                // pt.y = (p0-2p1+p2)t^2+(-2p0+2p1)t+p0
-                float t[2];
-                if (solve_quadratic(p0.y-2*p1.y+p2.y,
-                                    -2*p0.y+2*p1.y,
-                                    p0.y-pt.y,
-                                    &t[0], &t[1])) {
-                    for (int j = 0; j < 2; j++) {
-                        if (t[j] >= 0 && t[j] <= 1) {
-                            auto tp = (p0.x-2*p1.x+p2.x)*t[j]*t[j] +
-                                      (-2*p0.x+2*p1.x)*t[j] +
-                                      p0.x-pt.x;
-                            if (tp >= 0) {
-                                if (2*(p0.y-2*p1.y+p2.y)*t[j]+(-2*p0.y+2*p1.y) > 0) {
-                                    winding_number += 1;
-                                } else {
-                                    winding_number -= 1;
-                                }
-                            }
-                        }
-                    }
-                }
-            } else if (path.num_control_points[base_point_id] == 2) {
-                // Cubic Bezier curve
-                auto i0 = point_id;
-                auto i1 = point_id + 1;
-                auto i2 = point_id + 2;
-                auto i3 = (point_id + 3) % path.num_points;
-                auto p0 = Vector2f{path.points[2 * i0], path.points[2 * i0 + 1]};
-                auto p1 = Vector2f{path.points[2 * i1], path.points[2 * i1 + 1]};
-                auto p2 = Vector2f{path.points[2 * i2], path.points[2 * i2 + 1]};
-                auto p3 = Vector2f{path.points[2 * i3], path.points[2 * i3 + 1]};
-                // The curve is (1 - t)^3 p0 + 3 * (1 - t)^2 t p1 + 3 * (1 - t) t^2 p2 + t^3 p3
-                // = (-p0+3p1-3p2+p3) t^3 + (3p0-6p1+3p2) t^2 + (-3p0+3p1) t + p0
-                // intersect with pt + t' * (1 0)
-                // solve:
-                // pt.y = (-p0+3p1-3p2+p3) t^3 + (3p0-6p1+3p2) t^2 + (-3p0+3p1) t + p0
-                double t[3];
-                int num_sol = solve_cubic(double(-p0.y+3*p1.y-3*p2.y+p3.y),
-                                          double(3*p0.y-6*p1.y+3*p2.y),
-                                          double(-3*p0.y+3*p1.y),
-                                          double(p0.y-pt.y),
-                                          t);
-                for (int j = 0; j < num_sol; j++) {
-                    if (t[j] >= 0 && t[j] <= 1) {
-                        // t' = (-p0+3p1-3p2+p3) t^3 + (3p0-6p1+3p2) t^2 + (-3p0+3p1) t + p0 - pt.x
-                        auto tp = (-p0.x+3*p1.x-3*p2.x+p3.x)*t[j]*t[j]*t[j]+
-                                  (3*p0.x-6*p1.x+3*p2.x)*t[j]*t[j]+
-                                  (-3*p0.x+3*p1.x)*t[j]+
-                                  p0.x-pt.x;
-                        if (tp > 0) {
-                            if (3*(-p0.y+3*p1.y-3*p2.y+p3.y)*t[j]*t[j]+
-                                2*(3*p0.y-6*p1.y+3*p2.y)*t[j]+
-                                (-3*p0.y+3*p1.y) > 0) {
-                                winding_number += 1;
-                            } else {
-                                winding_number -= 1;
-                            }
-                        }
-                    }
-                }
-            } else {
-                assert(false);
-            }
-        } else {
-            assert(node.child0 >= 0 && node.child1 >= 0);
-            const AABB &b0 = bvh_nodes[node.child0].box;
-            if (intersect(b0, pt)) {
-                bvh_stack[stack_size++] = node.child0;
-            }
-            const AABB &b1 = bvh_nodes[node.child1].box;
-            if (intersect(b1, pt)) {
-                bvh_stack[stack_size++] = node.child1;
-            }
-            assert(stack_size <= max_bvh_size);
-        }
-    }
-    return winding_number;
-}
-
-DEVICE
-int compute_winding_number(const Rect &rect, const Vector2f &pt) {
-    const auto &p_min = rect.p_min;
-    const auto &p_max = rect.p_max;
-    // inside the rectangle: return 1, outside the rectangle: return 0
-    if (pt.x > p_min.x && pt.x < p_max.x && pt.y > p_min.y && pt.y < p_max.y) {
-        return 1;
-    } else {
-        return 0;
-    }
-}
-
-DEVICE
-int compute_winding_number(const Shape &shape, const BVHNode *bvh_nodes, const Vector2f &pt) {
-    switch (shape.type) {
-        case ShapeType::Circle:
-            return compute_winding_number(*(const Circle *)shape.ptr, pt);
-        case ShapeType::Ellipse:
-            return compute_winding_number(*(const Ellipse *)shape.ptr, pt);
-        case ShapeType::Path:
-            return compute_winding_number(*(const Path *)shape.ptr, bvh_nodes, pt);
-        case ShapeType::Rect:
-            return compute_winding_number(*(const Rect *)shape.ptr, pt);
-    }
-    assert(false);
-    return 0;
-}

spaces/CVPR/Leaderboard/app.py

@@ -1,43 +0,0 @@
-import os
-import requests
-import pandas as pd
-import gradio as gr
-from huggingface_hub.hf_api import SpaceInfo
-from pathlib import Path
-
-
-path = f"https://huggingface.co/api/spaces"
-os.system("git clone https://github.com/YangtaoWANG95/TokenCut.git")
-os.chdir("TokenCut")
-os.system("wget https://raw.githubusercontent.com/YangtaoWANG95/TokenCut/master/examples/VOC07_000064.jpg -O parrot.jpg")
- 	
-
-    
-def get_blocks_party_spaces():
-    r = requests.get(path)
-    d = r.json()
-    spaces = [SpaceInfo(**x) for x in d]
-    blocks_spaces = {}
-    for i in range(0,len(spaces)):
-        if spaces[i].id.split('/')[0] == 'CVPR' and hasattr(spaces[i], 'likes') and spaces[i].id != 'CVPR/Leaderboard' and spaces[i].id != 'CVPR/README':
-            blocks_spaces[spaces[i].id]=spaces[i].likes
-    df = pd.DataFrame(
-    [{"Spaces_Name": Spaces, "likes": likes} for Spaces,likes in blocks_spaces.items()])
-    df = df.sort_values(by=['likes'],ascending=False)
-    return df
-
-
-block = gr.Blocks()
-
-with block:    
-    gr.Markdown("""Leaderboard for the most popular CVPR Spaces. To learn more and join, see <a href="https://huggingface.co/CVPR" target="_blank" style="text-decoration: underline">CVPR Event</a>""")
-    with gr.Tabs():
-        with gr.TabItem("CVPR Leaderboard"):
-            with gr.Row():
-                data = gr.outputs.Dataframe(type="pandas")
-            with gr.Row():
-                data_run = gr.Button("Refresh")
-                data_run.click(get_blocks_party_spaces, inputs=None, outputs=data)
-
-    block.load(get_blocks_party_spaces, inputs=None, outputs=data)                
-block.launch()

spaces/CVPR/lama-example/saicinpainting/training/visualizers/base.py

@@ -1,73 +0,0 @@
-import abc
-from typing import Dict, List
-
-import numpy as np
-import torch
-from skimage import color
-from skimage.segmentation import mark_boundaries
-
-from . import colors
-
-COLORS, _ = colors.generate_colors(151) # 151 - max classes for semantic segmentation
-
-
-class BaseVisualizer:
-    @abc.abstractmethod
-    def __call__(self, epoch_i, batch_i, batch, suffix='', rank=None):
-        """
-        Take a batch, make an image from it and visualize
-        """
-        raise NotImplementedError()
-
-
-def visualize_mask_and_images(images_dict: Dict[str, np.ndarray], keys: List[str],
-                              last_without_mask=True, rescale_keys=None, mask_only_first=None,
-                              black_mask=False) -> np.ndarray:
-    mask = images_dict['mask'] > 0.5
-    result = []
-    for i, k in enumerate(keys):
-        img = images_dict[k]
-        img = np.transpose(img, (1, 2, 0))
-
-        if rescale_keys is not None and k in rescale_keys:
-            img = img - img.min()
-            img /= img.max() + 1e-5
-        if len(img.shape) == 2:
-            img = np.expand_dims(img, 2)
-
-        if img.shape[2] == 1:
-            img = np.repeat(img, 3, axis=2)
-        elif (img.shape[2] > 3):
-            img_classes = img.argmax(2)
-            img = color.label2rgb(img_classes, colors=COLORS)
-
-        if mask_only_first:
-            need_mark_boundaries = i == 0
-        else:
-            need_mark_boundaries = i < len(keys) - 1 or not last_without_mask
-
-        if need_mark_boundaries:
-            if black_mask:
-                img = img * (1 - mask[0][..., None])
-            img = mark_boundaries(img,
-                                  mask[0],
-                                  color=(1., 0., 0.),
-                                  outline_color=(1., 1., 1.),
-                                  mode='thick')
-        result.append(img)
-    return np.concatenate(result, axis=1)
-
-
-def visualize_mask_and_images_batch(batch: Dict[str, torch.Tensor], keys: List[str], max_items=10,
-                                    last_without_mask=True, rescale_keys=None) -> np.ndarray:
-    batch = {k: tens.detach().cpu().numpy() for k, tens in batch.items()
-             if k in keys or k == 'mask'}
-
-    batch_size = next(iter(batch.values())).shape[0]
-    items_to_vis = min(batch_size, max_items)
-    result = []
-    for i in range(items_to_vis):
-        cur_dct = {k: tens[i] for k, tens in batch.items()}
-        result.append(visualize_mask_and_images(cur_dct, keys, last_without_mask=last_without_mask,
-                                                rescale_keys=rescale_keys))
-    return np.concatenate(result, axis=0)

spaces/Caoyunkang/Segment-Any-Anomaly/GroundingDINO/setup.py

@@ -1,208 +0,0 @@
-# coding=utf-8
-# Copyright 2022 The IDEA Authors. 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.
-# ------------------------------------------------------------------------------------------------
-# Modified from
-# https://github.com/fundamentalvision/Deformable-DETR/blob/main/models/ops/setup.py
-# https://github.com/facebookresearch/detectron2/blob/main/setup.py
-# https://github.com/open-mmlab/mmdetection/blob/master/setup.py
-# https://github.com/Oneflow-Inc/libai/blob/main/setup.py
-# ------------------------------------------------------------------------------------------------
-
-import glob
-import os
-import subprocess
-
-import torch
-from setuptools import find_packages, setup
-from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
-
-# groundingdino version info
-version = "0.1.0"
-package_name = "groundingdino"
-cwd = os.path.dirname(os.path.abspath(__file__))
-
-
-sha = "Unknown"
-try:
-    sha = subprocess.check_output(["git", "rev-parse", "HEAD"], cwd=cwd).decode("ascii").strip()
-except Exception:
-    pass
-
-
-def write_version_file():
-    version_path = os.path.join(cwd, "groundingdino", "version.py")
-    with open(version_path, "w") as f:
-        f.write(f"__version__ = '{version}'\n")
-        # f.write(f"git_version = {repr(sha)}\n")
-
-
-requirements = ["torch", "torchvision"]
-
-torch_ver = [int(x) for x in torch.__version__.split(".")[:2]]
-
-
-def get_extensions():
-    this_dir = os.path.dirname(os.path.abspath(__file__))
-    extensions_dir = os.path.join(this_dir, "groundingdino", "models", "GroundingDINO", "csrc")
-
-    main_source = os.path.join(extensions_dir, "vision.cpp")
-    sources = glob.glob(os.path.join(extensions_dir, "**", "*.cpp"))
-    source_cuda = glob.glob(os.path.join(extensions_dir, "**", "*.cu")) + glob.glob(
-        os.path.join(extensions_dir, "*.cu")
-    )
-
-    sources = [main_source] + sources
-
-    extension = CppExtension
-
-    extra_compile_args = {"cxx": []}
-    define_macros = []
-
-    if torch.cuda.is_available() and CUDA_HOME is not None:
-        print("Compiling with CUDA")
-        extension = CUDAExtension
-        sources += source_cuda
-        define_macros += [("WITH_CUDA", None)]
-        extra_compile_args["nvcc"] = [
-            "-DCUDA_HAS_FP16=1",
-            "-D__CUDA_NO_HALF_OPERATORS__",
-            "-D__CUDA_NO_HALF_CONVERSIONS__",
-            "-D__CUDA_NO_HALF2_OPERATORS__",
-        ]
-    else:
-        print("Compiling without CUDA")
-        define_macros += [("WITH_HIP", None)]
-        extra_compile_args["nvcc"] = []
-        return None
-
-    sources = [os.path.join(extensions_dir, s) for s in sources]
-    include_dirs = [extensions_dir]
-
-    ext_modules = [
-        extension(
-            "groundingdino._C",
-            sources,
-            include_dirs=include_dirs,
-            define_macros=define_macros,
-            extra_compile_args=extra_compile_args,
-        )
-    ]
-
-    return ext_modules
-
-
-def parse_requirements(fname="requirements.txt", with_version=True):
-    """Parse the package dependencies listed in a requirements file but strips
-    specific versioning information.
-
-    Args:
-        fname (str): path to requirements file
-        with_version (bool, default=False): if True include version specs
-
-    Returns:
-        List[str]: list of requirements items
-
-    CommandLine:
-        python -c "import setup; print(setup.parse_requirements())"
-    """
-    import re
-    import sys
-    from os.path import exists
-
-    require_fpath = fname
-
-    def parse_line(line):
-        """Parse information from a line in a requirements text file."""
-        if line.startswith("-r "):
-            # Allow specifying requirements in other files
-            target = line.split(" ")[1]
-            for info in parse_require_file(target):
-                yield info
-        else:
-            info = {"line": line}
-            if line.startswith("-e "):
-                info["package"] = line.split("#egg=")[1]
-            elif "@git+" in line:
-                info["package"] = line
-            else:
-                # Remove versioning from the package
-                pat = "(" + "|".join([">=", "==", ">"]) + ")"
-                parts = re.split(pat, line, maxsplit=1)
-                parts = [p.strip() for p in parts]
-
-                info["package"] = parts[0]
-                if len(parts) > 1:
-                    op, rest = parts[1:]
-                    if ";" in rest:
-                        # Handle platform specific dependencies
-                        # http://setuptools.readthedocs.io/en/latest/setuptools.html#declaring-platform-specific-dependencies
-                        version, platform_deps = map(str.strip, rest.split(";"))
-                        info["platform_deps"] = platform_deps
-                    else:
-                        version = rest  # NOQA
-                    info["version"] = (op, version)
-            yield info
-
-    def parse_require_file(fpath):
-        with open(fpath, "r") as f:
-            for line in f.readlines():
-                line = line.strip()
-                if line and not line.startswith("#"):
-                    for info in parse_line(line):
-                        yield info
-
-    def gen_packages_items():
-        if exists(require_fpath):
-            for info in parse_require_file(require_fpath):
-                parts = [info["package"]]
-                if with_version and "version" in info:
-                    parts.extend(info["version"])
-                if not sys.version.startswith("3.4"):
-                    # apparently package_deps are broken in 3.4
-                    platform_deps = info.get("platform_deps")
-                    if platform_deps is not None:
-                        parts.append(";" + platform_deps)
-                item = "".join(parts)
-                yield item
-
-    packages = list(gen_packages_items())
-    return packages
-
-
-if __name__ == "__main__":
-    print(f"Building wheel {package_name}-{version}")
-
-    with open("LICENSE", "r", encoding="utf-8") as f:
-        license = f.read()
-
-    write_version_file()
-
-    setup(
-        name="groundingdino",
-        version="0.1.0",
-        author="International Digital Economy Academy, Shilong Liu",
-        url="https://github.com/IDEA-Research/GroundingDINO",
-        description="open-set object detector",
-        license=license,
-        install_requires=parse_requirements("requirements.txt"),
-        packages=find_packages(
-            exclude=(
-                "configs",
-                "tests",
-            )
-        ),
-        ext_modules=get_extensions(),
-        cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
-    )

spaces/Catmeow/Count_objects_in_picture/README.md

@@ -1,12 +0,0 @@
----
-title: Count Objects In Picture yolov5s
-emoji: 🏢
-colorFrom: indigo
-colorTo: pink
-sdk: gradio
-sdk_version: 3.8.2
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/CikeyQI/meme-api/meme_generator/memes/hutao_bite/__init__.py

@@ -1,25 +0,0 @@
-from pathlib import Path
-from typing import List
-
-from PIL.Image import Image as IMG
-from pil_utils import BuildImage
-
-from meme_generator import add_meme
-from meme_generator.utils import save_gif
-
-img_dir = Path(__file__).parent / "images"
-
-
-def hutao_bite(images: List[BuildImage], texts, args):
-    img = images[0].convert("RGBA").square().resize((100, 100))
-    frames: List[IMG] = []
-    locs = [(98, 101, 108, 234), (96, 100, 108, 237)]
-    for i in range(2):
-        frame = BuildImage.open(img_dir / f"{i}.png")
-        w, h, x, y = locs[i]
-        frame.paste(img.resize((w, h)), (x, y), below=True)
-        frames.append(frame.image)
-    return save_gif(frames, 0.1)
-
-
-add_meme("hutao_bite", hutao_bite, min_images=1, max_images=1, keywords=["胡桃啃"])