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spaces/1acneusushi/gradio-2dmoleculeeditor/data/Adobe After Effects Cs5 Free Download Highly Compressed What You Need to Know Before You Download It.md

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-<h1>Adobe After Effects Cs5: A Powerful Tool for Motion Graphics and Visual Effects</h1>
- <p>If you are looking for a software that can help you create stunning motion graphics and visual effects for your videos, animations, presentations, or web projects, then you might want to consider Adobe After Effects Cs5. This software is one of the most popular and widely used applications in the industry, and it offers a range of features and capabilities that can unleash your creativity and enhance your productivity. In this article, we will show you what Adobe After Effects Cs5 is, how you can download it for free, how you can install it on your computer, and how you can use it for your projects.</p>
- <h2>What is Adobe After Effects Cs5?</h2>
- <h3>A brief introduction to the software and its features</h3>
- <p>Adobe After Effects Cs5 is a software that allows you to create motion graphics and visual effects with ease. It is part of the Adobe Creative Suite 5 family, which also includes other applications such as Photoshop, Illustrator, Premiere Pro, and more. With Adobe After Effects Cs5, you can combine moving imagery, still images, graphics, text, and sound in 2D or 3D space, and then animate virtually any aspect of each element. You can also manipulate images using hundreds of effects that stylize, distort, shatter, and more. You can also combine effects to create Hollywood-caliber visual effects. You can also create grids, radio waves, particles, and more with the built-in generators. You can also import and work with files from other applications, such as Photoshop, Illustrator, Premiere Pro, Flash, Cinema 4D, etc.</p>
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- <h3>The benefits of using Adobe After Effects Cs5 for creative projects</h3>
- <p>Using Adobe After Effects Cs5 for your creative projects can bring you many benefits, such as:</p>
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- <h3>The system requirements and compatibility of Adobe After Effects Cs5</h3>
- <p>Before you download and install Adobe After Effects Cs5 on your computer, you need to make sure that your system meets the minimum requirements for the software. Here are the system requirements for Windows and Mac OS:</p>
- <table>
-<tr><th>Windows</th><th>Mac OS</th></tr>
-<tr><td>
-<ul>
-<li>64-bit support required: Intel® Pentium® 4 or AMD Athlon® 64 processor (Intel Core™ i3, i5, or i7 or AMD Phenom® II recommended)</li>
-<li>64-bit operating system required: Microsoft® Windows Vista® Home Premium, Business, Ultimate, or Enterprise with Service Pack 1 or Windows® 7</li>
-<li>2GB of RAM (4GB or more recommended)</li>
-<li>3GB of available hard-disk space plus 2GB of space for optional content; additional free space required during installation (cannot install on removable flash-based storage devices)</li>
-<li>1280x800 display with OpenGL 2.0-compatible graphics card</li>
-<li>7200 RPM hard drive for editing compressed video formats; RAID 0 for uncompressed</li>
-<li>Sound card compatible with ASIO protocol or Microsoft Windows Driver Model</li>
-<li>DVD-ROM drive compatible with dual-layer DVDs (DVD+-R burner for burning DVDs; Blu-ray burner for creating Blu-ray Disc media)</li>
-<li>Java™ Runtime Environment 1.6 (included)</li>
-<li>QuickTime 7.6.2 software required for QuickTime and multimedia features</li>
-<li>Adobe Flash® Player 10 software required to export SWF files and to play back DVD projects exported as SWF files</li>
-<li>Broadband Internet connection required for online services and Creative Suite Subscription Edition software*</li>
-</ul>
-</td><td>
-<ul>
-<li>Multicore Intel® processor with 64-bit support</li>
-<li>Mac OS X v10.5.8 or v10.6</li>
-<li>2GB of RAM</li>
-<li>4GB of available hard-disk space plus 2GB of space for optional content; additional free space required during installation (cannot install on a volume that uses a case-sensitive file system or on removable flash-based storage devices)</li>
-<li>1280x800 display (1280x1024 recommended) with qualified hardware-accelerated OpenGL graphics card, 16-bit color, and 256MB of VRAM</li>
-<li>7200 RPM hard drive for editing compressed video formats; RAID 0 for uncompressed</li>
-<li>Core Audio–compatible sound card</li>
-<li>DVD-ROM drive compatible with dual-layer DVDs (SuperDrive for burning DVDs; external Blu-ray burner for creating Blu-ray Disc media)</li>
-<li>Java™ Runtime Environment 1.6</li>
-<li>QuickTime 7.6.2 software required for QuickTime and multimedia features</li>
-<li>Adobe Flash Player 10 software required to export SWF files and to play back DVD projects exported as SWF files</li>
-<li>Broadband Internet connection required for online services and Creative Suite Subscription Edition software*</li>
-</ul>
-</td></tr></table>
- <p>*This product may allow you to extend its functionality by accessing certain features that are hosted online.</p>
- <h2>How to Download Adobe After Effects Cs5 for Free?</h2>
- <h3>The legal and ethical issues of downloading software for free</h3>
- <p>If you are wondering how to download Adobe After Effects Cs5 for free, you need to be aware of the legal and ethical issues involved in doing so. First of all, downloading software without paying for it is considered piracy, which is illegal in most countries. Piracy violates the intellectual property rights of the software developers and publishers who invest time, money, and effort into creating quality products. Piracy also harms the software industry by reducing its revenues and incentives to innovate. Piracy also exposes you to potential legal consequences such as fines or lawsuits if you are caught using pirated software.</p>
- <h3>The steps to download Adobe After Effects Cs5 from a reliable source</h3>
- <p>If you want to download Adobe After Effects Cs5 for free, you need to find a reliable source that offers a legitimate and safe download link. There are many websites that claim to offer free downloads of Adobe software, but many of them are scams, viruses, or malware that can harm your computer or steal your personal information. Therefore, you need to be careful and avoid clicking on suspicious links or pop-ups.</p>
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- <p>One of the best ways to download Adobe After Effects Cs5 for free is to use the official Adobe website. Adobe offers a 7-day free trial of After Effects Cs5 for Windows and Mac, so you can test the software before you decide to buy it. To download Adobe After Effects Cs5 for free from Adobe, you need to follow these steps:</p>
- <ol>
-<li>Go to the Adobe After Effects Cs5 page on the Creative Cloud website.</li>
-<li>Click on the Start Free Trial button.</li>
-<li>Sign in with your Adobe ID or create one if you don't have one.</li>
-<li>Choose between a trial of After Effects Cs5 on its own or all of Adobe's Creative Cloud apps.</li>
-<li>Add your payment details. You won't be charged until the trial ends.</li>
-<li>Download and install the Creative Cloud desktop app on your computer.</li>
-<li>Launch the Creative Cloud desktop app and sign in with your Adobe ID.</li>
-<li>Find After Effects Cs5 in the list of apps and click on the Install button.</li>
-<li>Wait for the installation to complete and then launch After Effects Cs5 from the Creative Cloud desktop app or from your Start menu (Windows) or Applications folder (Mac).</li>
-</ol>
- <p>Congratulations, you have successfully downloaded Adobe After Effects Cs5 for free. You can now use it for 7 days without any limitations. After the trial period ends, you can either buy a subscription to continue using it or cancel it before you are charged.</p>
- <h2>How to Install Adobe After Effects Cs5 on Your Computer?</h2>
- <h3>The installation process and options for Adobe After Effects Cs5</h3>
- <p>Once you have downloaded Adobe After Effects Cs5 from a reliable source, you need to install it on your computer. The installation process is simple and straightforward, but there are some options and settings that you need to pay attention to. Here are some tips and steps for installing Adobe After Effects Cs5 on your computer:</p>
- <ul>
-<li>Make sure that your system meets the minimum requirements for Adobe After Effects Cs5. You can check them on the Adobe website or in the previous section of this article.</li>
-<li>Close any other applications that are running on your computer, especially those that use video or audio resources.</li>
-<li>If you downloaded Adobe After Effects Cs5 from Adobe's website, launch the Creative Cloud desktop app and follow the instructions to install it. If you downloaded it from another source, locate the downloaded file and double-click on it to start the installation.</li>
-<li>Follow the on-screen instructions and accept the license agreement.</li>
-<li>Choose between a typical or custom installation. A typical installation will install all the default components and settings of Adobe After Effects Cs5. A custom installation will allow you to choose which components and settings you want to install or change.</li>
-<li>Select a destination folder for Adobe After Effects Cs5. You can use the default folder or choose another one.</li>
-<li>Select a language for Adobe After Effects Cs5. You can choose from English, French, German, Japanese, Spanish, Italian, Korean, Portuguese (Brazilian), Russian, Chinese (Simplified), or Chinese (Traditional).</li>
-<li>Select whether you want to create shortcuts for Adobe After Effects Cs5 on your desktop or Start menu (Windows) or Dock (Mac).</li>
-<li>Select whether you want to register your product online or later. Registering your product will allow you to access online services and support from Adobe.</li>
-<li>Click on the Install button and wait for the installation to complete.</li>
-</ul>
- <p>Congratulations, you have successfully installed Adobe After Effects Cs5 on your computer. You can now launch it from the Creative Cloud desktop app or from your shortcuts and start using it for your projects.</p>
- <h3>The activation and registration of Adobe After Effects Cs5</h3>
- <p>To use Adobe After Effects Cs5 without any restrictions or interruptions, you need to activate and register it with your Adobe ID. Activation is a process that verifies that your copy of Adobe After Effects Cs5 is genuine and that it has not been used on more computers than allowed by the license agreement. Registration is a process that links your copy of Adobe After Effects Cs5 with your Adobe ID and allows you to access online services and support from Adobe.</p>
- <p>If you downloaded Adobe After Effects Cs5 from Adobe's website as part of a free trial or a subscription plan, you don't need to activate it manually. It will be automatically activated when you sign in with your Adobe ID in the Creative Cloud desktop app or in After Effects Cs5 itself. However, if you downloaded it from another source or if you bought a boxed version of it, you need to activate it manually by entering a serial number that came with your product.</p>
- <p>To activate and register Adobe After Effects Cs5 manually, follow these steps:</p>
- <ol>
-<li>Launch Adobe After Effects Cs5 from your shortcuts or from the Creative Cloud desktop app.</li>
-<li>If prompted, enter your serial number that came with your product. You can find it on the back of the DVD case or in an email confirmation if you bought it online.</li>
-<li>If prompted, sign in with your Adobe ID or create one if you don't have one.</li>
-<li>If prompted, register your product online by providing some basic information such as your name and email address.</li>
-</ol>
- <p>Congratulations, you have successfully activated and registered Adobe After Effects Cs5 with your Adobe ID. You can now use it without any limitations or interruptions.</p>
- <h3>The troubleshooting tips and resources for Adobe After Effects Cs5 installation issues</h3>
- <p>Sometimes, you may encounter some issues or errors when installing, activating, or registering Adobe After Effects Cs5 on your computer. These issues may be caused by various factors such as incompatible system requirements, corrupted files, network problems, firewall settings, antivirus software, etc. To resolve these issues, here are some troubleshooting tips and resources that you can try:</p>
- <ul>
-<h2>How to Use Adobe After Effects Cs5 for Your Projects?</h2>
- <h3>The basic workflow and interface of Adobe After Effects Cs5</h3>
- <p>Once you have installed and activated Adobe After Effects Cs5 on your computer, you can start using it for your projects. The basic workflow of Adobe After Effects Cs5 consists of four main steps: importing and organizing footage, creating and arranging compositions, applying and adjusting effects, and rendering and exporting the final output. Here is a brief overview of each step:</p>
- <ul>
-<li>Importing and organizing footage: This is where you import your video clips, images, audio files, or other assets that you want to use in your project. You can also capture footage from a camera or a device. You can organize your footage in the Project panel by creating folders, bins, or labels. You can also preview your footage in the Footage panel or the Layer panel.</li>
-<li>Creating and arranging compositions: This is where you create compositions, which are containers for your layers. Layers are the elements that make up your composition, such as video clips, images, text, shapes, effects, etc. You can create multiple compositions in a project and nest them inside each other. You can arrange your layers in the Timeline panel by changing their order, duration, timing, or properties. You can also view and edit your composition in the Composition panel.</li>
-<li>Applying and adjusting effects: This is where you apply effects to your layers to create motion graphics and visual effects. Effects are presets or plugins that modify the appearance or behavior of your layers. You can apply effects from the Effects & Presets panel or the Effect menu. You can adjust the settings of your effects in the Effect Controls panel or the Timeline panel. You can also animate your effects using keyframes or expressions.</li>
-<li>Rendering and exporting the final output: This is where you render your composition to create a video file that you can play back or share. Rendering is the process of calculating and combining all the layers and effects in your composition into a single frame or sequence of frames. You can render your composition using the Render Queue panel or the Adobe Media Encoder application. You can export your rendered composition to various formats and codecs depending on your needs.</li>
-</ul>
- <p>The interface of Adobe After Effects Cs5 consists of various panels, menus, tools, and controls that help you perform these steps. Here is a screenshot of the default interface of Adobe After Effects Cs5:</p>
- ![After Effects Cs5 interface](https://helpx.adobe.com/content/dam/help/en/after-effects/using/WS3878526689cb91655866c1103906c6dea-7f9a_1.jpg) <p>You can customize the interface by resizing, docking, undocking, grouping, or hiding panels. You can also switch between different workspaces that arrange panels for specific tasks such as animation, painting, text, etc.</p>
- <h3>The key features and tools of Adobe After Effects Cs5</h3>
- <p>Adobe After Effects Cs5 offers a variety of features and tools that help you create motion graphics and visual effects with ease and efficiency. Here are some of the key features and tools of Adobe After Effects Cs5:</p>
- <ul>
-<li>Roto Brush tool: This is a new tool that allows you to isolate foreground elements from complex backgrounds in a fraction of the time it would take using traditional rotoscoping techniques. The Roto Brush tool works like a brush that automatically detects edges and creates masks around your foreground elements. You can then refine the masks using various parameters and controls.</li>
-<li>mocha for After Effects: This is a powerful planar tracking application that comes bundled with Adobe After Effects Cs5. mocha for After Effects allows you to track masks and shapes across 2D planes with accuracy and speed. You can then export the tracking data to After Effects and apply it to your layers or effects.</li>
-<li>Color Finesse 3: This is an advanced color correction plugin that comes bundled with Adobe After Effects Cs5. Color Finesse 3 allows you to adjust color balance, exposure, contrast, saturation, hue, and more with precision and control. You can also use scopes, histograms, curves, vectorscopes, and other tools to monitor and fine-tune your color correction.</li>
-<li>DigiEffects FreeForm: This is a 3D mesh warp plugin that comes bundled with Adobe After Effects Cs5. DigiEffects FreeForm allows you to distort and deform any layer in 3D space using a grid of control points. You can also animate the control points using keyframes or expressions.</li>
-<h3>FAQs</h3>
- <p>Here are some of the frequently asked questions about Adobe After Effects Cs5:</p>
- <ol>
-<li>What is the difference between Adobe After Effects Cs5 and Adobe Premiere Pro?</li>
-<li>Adobe After Effects Cs5 and Adobe Premiere Pro are both video editing software, but they have different purposes and strengths. Adobe Premiere Pro is mainly used for editing and assembling video clips, audio tracks, transitions, and effects in a linear timeline. Adobe After Effects Cs5 is mainly used for creating and animating motion graphics and visual effects in a layered composition. You can use both software together by importing and exporting files between them.</li>
-<li>How can I get Adobe After Effects Cs5 for free?</li>
-<li>You can get Adobe After Effects Cs5 for free by downloading a 7-day free trial from the Adobe website. You can use the trial version without any limitations or restrictions. However, after the trial period ends, you will need to buy a subscription to continue using it or cancel it before you are charged.</li>
-<li>How can I update Adobe After Effects Cs5 to the latest version?</li>
-<li>You can update Adobe After Effects Cs5 to the latest version by using the Creative Cloud desktop app. The app will notify you when there are updates available for your installed software. You can then choose to update them automatically or manually. You can also check for updates by going to Help > Updates in After Effects Cs5.</li>
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-<li>You can learn Adobe After Effects Cs5 by following some of the tutorials and resources available on the Adobe website or on other online platforms. You can also join the After Effects community and ask questions or share your work with other users.</li>
-<li>What are some of the alternatives to Adobe After Effects Cs5?</li>
-<li>Some of the alternatives to Adobe After Effects Cs5 are Blender, HitFilm Express, Fusion, Nuke, Natron, and Motion. These are also software that can create motion graphics and visual effects, but they may have different features, interfaces, workflows, and prices.</li>
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-<h3>Extract the files and run the setup</h3>
-<p>The second step is to extract the files from the downloaded zip or rar file using a program like WinRAR or WinZip. You will find a folder containing several files, including the setup file, the crack file, and the serial file. Run the setup file as administrator by right-clicking on it and choosing "Run as administrator". Follow the instructions on the screen to install Autokitchen 7 Pro on your computer.</p>
-<h3>Enter the crack and serial codes</h3>
-<p>The third step is to enter the crack and serial codes that will activate your full version of Autokitchen 7 Pro. To do this, you need to copy the crack file (usually named "autokitchen.exe") from the folder where you extracted it and paste it into the folder where you installed Autokitchen 7 Pro (usually "C:\Program Files\autokitchen"). Replace the existing file when prompted. Then, open Autokitchen 7 Pro and enter the serial code (usually a combination of letters and numbers) from the serial file (usually named "serial.txt") when asked. Click on "OK" or "Activate"  to confirm.</p>
-<h3>Enjoy your full version of Autokitchen 7 Pro</h3>
-<p>The fourth step is to enjoy your full version of Autokitchen 7 Pro with all its features and benefits. You can now start designing your dream kitchens and bathrooms with ease and professionalism.</p>
-<h2>How to use Autokitchen 7 Pro for kitchen design</h2>
-<p>Now that you have installed Autokitchen 7 Pro with crack and serial, you are ready to use it for kitchen design. Here are some basic steps to guide you through the process:</p>
-<h3>Choose a catalog and a style</h3>
-<p>The first step is to choose a catalog and a style for your project. You can select from various catalogs that include standard cabinetry catalogs (framed and frameless), manufacturer-specific cabinet catalogs, European-style cabinets, name brand appliances, bathroom fixtures and hundreds of door styles, cabinet accessories, cabinet parts and finishes. You can also choose from different styles that range from classic to modern, from rustic to elegant, from minimalist to eclectic. You can mix and match different catalogs and styles <h3>Draw your floor plan and walls</h3>
-<p>The second step is to draw your floor plan and walls for your project. You can use the quick design tools and wizards to create your room layout easily. You can also import an existing floor plan from AutoCAD or other programs if you have one. You can adjust the dimensions, angles, and shapes of your walls as you wish. You can also add doors, windows, columns, beams, and other architectural elements to your walls.</p>
-<h3>Add cabinets, appliances, fixtures and accessories</h3>
-<p>The third step is to add cabinets, appliances, fixtures and accessories to your project. You can select from various catalogs that include standard cabinetry catalogs (framed and frameless), manufacturer-specific cabinet catalogs, European-style cabinets, name brand appliances, bathroom fixtures and hundreds of door styles, cabinet accessories, cabinet parts and finishes. You can drag and drop them to your floor plan or use the automatic placement tools to arrange them optimally. You can also customize them according to your preferences. You can change the dimensions, colors, textures, handles, hinges, drawers, shelves, moldings, countertops, backsplashes, sinks, faucets, etc.</p>
-<h3>Generate perspectives, renders and technical drawings</h3>
-<p>The fourth step is to generate perspectives, renders and technical drawings for your project. You can choose from different views (top view, front view, side view) and angles (isometric, perspective) for your perspectives. You can also adjust the lighting and shadows options to create different moods. You can generate color renders in a snap with the latest rendering technology from Lightworks Design. You can also produce technical drawings (floor plans, elevations, mechanical plans) in a snap with the powerful AutoCAD engine. You can choose from different scales (metric or imperial)  and formats (PDF, DWG). You can also add dimensions, annotations, symbols <h3>Export and share your projects</h3>
-<p>The fifth step is to export and share your projects with your clients or colleagues. You can save your projects as images (JPG), videos (AVI), web pages (HTML), or panoramic views (QTVR) for different purposes. You can also use the cloud service to upload your projects online and access them from any device. You can generate a link automatically that can be opened on smart phones, tablets, computers, or VR goggles. This way, you can share your projects easily and impress your clients with your professional work.</p>
-<h2>Tips and tricks for using Autokitchen 7 Pro effectively</h2>
-<p>Now that you know how to use Autokitchen 7 Pro for kitchen design, here are some tips and tricks that can help you use it more effectively:</p>
-<h3>Use the quick design tools and wizards</h3>
-<p>Autokitchen 7 Pro has many quick design tools and wizards that can help you create your projects faster and easier. For example, you can use the room wizard to create a room layout with walls, doors, windows, and columns in a few clicks. You can use the cabinet wizard to place cabinets along a wall with automatic dimensions and labels. You can use the appliance wizard to add appliances to your cabinets with automatic cutouts and connections. You can use the countertop wizard to create countertops with different shapes, materials, and edges. You can use the backsplash wizard to create backsplashes with different tiles, patterns, and colors.</p>
-<h3>Customize your cabinets and materials</h3>
-<p>Autokitchen 7 Pro allows you to customize your cabinets and materials according to your preferences. You can change the dimensions, colors, textures, handles, hinges, drawers, shelves, moldings, countertops, backsplashes, sinks, faucets, etc. You can also create your own custom cabinets and materials by using the cabinet editor and the material editor. You can save your custom cabinets and materials in your own catalogs for future use.</p>
-<h3>Use the lighting and shadows options</h3>
-<p>Autokitchen 7 Pro uses the latest rendering technology from Lightworks Design, which provides realistic lighting and shadows effects. You can use the lighting and shadows options to create different moods for your projects. You can choose from different types of lights (ambient, point, spot, directional) and adjust their intensity, color, position, direction, angle, etc. You can also choose from different types of shadows (hard, soft, ray traced) and adjust their quality, density, transparency, etc.</p>
-<h3>Use the cloud service and panoramic views</h3>
-<p>Autokitchen 7 Pro has a cloud service that allows you to upload your projects online and access them from any device. You can also generate panoramic views that let you see your projects in 360 degrees. You can share your projects and panoramic views with your clients or colleagues by sending them a link that can be opened on smart phones, tablets, computers, or VR goggles. This way, you can impress your clients with your professional work and get their feedback easily.</p>
-<h2>Conclusion</h2>
-<p>In conclusion, Autokitchen 7 Pro is a powerful kitchen design software that can help you create stunning projects for your clients. It has many features and benefits that make it one of the best software tools for kitchen design. It is easy to use, fast, and reliable. It also has a cloud service that lets you share your projects online and access them from any device.</p>
-<p>If you want to get Autokitchen 7 Pro for your professional use or personal enjoyment,<strong>you have two options:</strong></p>
-<ol>
-<li>You can buy it from the official website of autokitchen.com. The price varies by country but it is usually around $3000 USD for a perpetual license with optional services (updates, support, cloud...).</li>
-<li>You can download it from a reliable source with crack and serial codes  . This way you can get it for free but you have to be careful about viruses, malware, and legal issues.</li>
-</ol>
-<p>In this article, we have shown you how to install Autokitchen 7 Pro with crack and serial codes, how to use it for kitchen design, and some tips and tricks for using it effectively.</p>
-<p>We hope you have found this article helpful and informative. If you have any questions or comments, please feel free to contact us.</p>
- <h2>Frequently Asked Questions</h2>
- <p>Here are some frequently asked questions about Autokitchen 7 Pro:</p>
- <ol>
-<li><strong>What are the system requirements for Autokitchen 7 Pro?</strong></li>
-<p>The system requirements for Autokitchen 7 Pro are as follows:</p>
-<ul>
-<li>Operating system: Windows XP/Vista/7/8/10</li>
-<li>Processor: Pentium IV 2 GHz or higher</li>
-<li>Memory: 1 GB RAM or higher</li>
-<li>Hard disk: 4 GB free space or higher</li>
-<li>Graphics card: 128 MB RAM or higher</li>
-<li>Monitor: 1024 x 768 resolution or higher</li>
-<li>Internet connection: Required for activation and updates</li>
-</ul>
- <li><strong>How long does it take to learn Autokitchen 7 Pro?</strong></li>
-<p>Autokitchen 7 Pro is an easy-to-learn design software for kitchen and bath designers. It has a user-friendly interface and intuitive tools that make it simple and fun to use. You can learn Autokitchen 7 Pro in a few hours by following the tutorials and videos available on the website or on YouTube. You can also contact the technical support team for any questions or issues.</p>
- <li><strong>How do I update Autokitchen 7 Pro?</strong></li>
-<p>If you have bought Autokitchen 7 Pro from the official website or if you have subscribed to the cloud service, you will receive automatic updates for free as long as your license or subscription is valid. You will be notified when a new update is available and you can download it and install it with a few clicks. If you have downloaded Autokitchen 7 Pro from a reliable source with crack and serial codes, you may not be able to update it or you may lose some features or functionality.</p>
- <li><strong>Can I use Autokitchen 7 Pro on Mac?</strong></li>
-<p>No, Autokitchen 7 Pro is only compatible with Windows operating system. However, you can use Autokitchen 7 Pro on Mac if you install a Windows emulator program such as Parallels Desktop or Boot Camp. You will need a valid Windows license and enough disk space and memory to run both operating systems.</p>
- <li><strong>Can I import or export files from other programs into Autokitchen 7 Pro?</strong></li>
-<p>Yes, Autokitchen 7 Pro allows you to import or export files from other programs such as AutoCAD, SketchUp, Photoshop, etc. You can import floor plans or images in DWG, DXF, BMP, JPG, PNG formats. You can export perspectives, renders and technical drawings in PDF, DWG, JPG, AVI formats. You can also export panoramic views in QTVR format.</p>
- </ol>
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-<p>APKShub is a website that offers free APK downloads for Android users. APK stands for Android Package Kit, which is the file format used to install apps on Android devices. By downloading APK files from APKShub, you can bypass the restrictions of Google Play Store and enjoy a wider range of apps on your device.</p>
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-<p>But how do you use APKShub safely? What are the benefits and risks of using this website? How do you download and install APK files from APKShub? In this article, we will answer these questions and more. We will explain what APKShub is, how it works, what features it offers, and how to use it safely on your Android device.</p>
- <h2>What Is APKShub?</h2>
-<p>APKShub is a website that provides free APK downloads for Android users. It has a large collection of apps and games from various categories, such as entertainment, education, productivity, social media, sports, etc. You can find both official and unofficial apps on APKShub, as well as modded versions that offer extra features or unlocked content.</p>
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-<li><b>Detailed information:</b> For each app or game on APKShub, you can see detailed information such as description, screenshots, ratings, reviews, version history, size, developer, permissions, etc. You can also see the compatibility of the app with your device and the minimum Android version required.</li>
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- <h3>Pros and Cons of APKShub</h3>
-<p>As with any other APK download site, APKShub has its pros and cons. Here are some of them:</p>
- <table>
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- <h2>How to Download APKShub APK File</h2>
-<p>If you want to use APKShub on your Android device, you need to download and install the APKShub APK file first. The APK file is the installer file that will allow you to access the website and its features on your device. Here are the steps to download and install the APKShub APK file:</p>
- <h3>Step 1: Enable Unknown Sources</h3>
-<p>Before you can install any APK file on your device, you need to enable unknown sources in your device settings. This will allow you to install apps from sources other than Google Play Store. To do this, follow these steps:</p>
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-<li>Go to your device settings and tap on Security or Privacy.</li>
-<li>Find the option that says Unknown Sources or Install Unknown Apps and toggle it on.</li>
-<li>A warning message will pop up. Tap on OK or Allow to confirm.</li>
-<li>You have now enabled unknown sources on your device.</li>
-</ul>
- <h3>Step 2: Visit APKShub Website</h3>
-<p>Now that you have enabled unknown sources, you can visit the APKShub website and download the APK file. To do this, follow these steps:</p>
- <ul>
-<li>Open your web browser and go to https://apkshub.com/.</li>
-<li>You will see the homepage of APKShub with various categories and options.</li>
-<li>Tap on the menu icon at the top left corner of the screen.</li>
-<li>Tap on Download APKShub App.</li>
-<li>You will be redirected to a page with a download button.</li>
-<li>Tap on Download Now and wait for the download to start.</li>
-<li>You have now downloaded the APKShub APK file on your device.</li>
-</ul>
- <h3>Step 3: Search for the App You Want</h3> <p>Once you have downloaded and installed the APKShub APK file, you can search for the app or game you want on the website. To do this, follow these steps:</p>
- <ul>
-<li>Open the APKShub app on your device.</li>
-<li>You will see the same interface as the website, with various categories and options.</li>
-<li>Tap on the search icon at the top right corner of the screen.</li>
-<li>Type in the name of the app or game you want and tap on Search.</li>
-<li>You will see a list of results that match your query.</li>
-<li>Tap on the app or game you want to download.</li>
-<li>You will see a page with detailed information about the app or game, such as description, screenshots, ratings, reviews, version history, size, developer, permissions, etc.</li>
-<li>You have now searched for the app or game you want on APKShub.</li>
-</ul>
- <h3>Step 4: Download and Install the APK File</h3>
-<p>The final step is to download and install the APK file of the app or game you want on your device. To do this, follow these steps:</p>
- <ul>
-<li>On the page of the app or game you want to download, tap on Download APK.</li>
-<li>A pop-up window will appear with a download link and a QR code.</li>
-<li>You can either tap on the download link to start the download directly on your device, or scan the QR code with another device to get the download link on that device.</li>
-<li>Wait for the download to finish. You can see the progress of the download on your notification bar.</li>
-<li>Once the download is complete, tap on the notification or go to your file manager and find the APK file in your downloads folder.</li>
-<li>Tap on the APK file to start the installation process.</li>
-<li>A warning message will appear asking you to confirm if you want to install this app. Tap on Install or Next to continue.</li>
-<li>Wait for the installation to finish. You can see the progress of the installation on your screen.</li>
-<li>Once the installation is complete, tap on Open or Done to launch or exit the app.</li>
-<li>You have now downloaded and installed the APK file of the app or game you want on your device.</li>
-</ul>
- <h2>How to Use APKShub Safely</h2>
-<p>Downloading and installing APK files from APKShub can be a great way to access apps and games that are not available on Google Play Store. However, it can also pose some risks and challenges. Here are some tips on how to use APKShub safely:</p>
- <h3>Check the APK File Before Installing</h3>
-<p>Before you install any APK file from APKShub, you should check if it is authentic and trustworthy. You can do this by looking at some indicators such as:</p>
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-<li><b>The source:</b> Make sure that you are downloading from APKShub website or app, and not from any other third-party site that might be impersonating it. You can check the URL of the website or scan the QR code with a trusted scanner app.</li>
-<li><b>The information:</b> Make sure that you read and understand all the information about the app or game you are downloading, such as description, screenshots, ratings, reviews, version history, size, developer, permissions, etc. You can also compare it with other sources such as Google Play Store or official websites to see if there are any discrepancies or red flags.</li>
-<li><b>The signature:</b> Make sure that you verify that the APK file is signed by its original developer and not by someone else. You can do this by using an app such as [APK Signature Verification] that can check if an APK file is signed by its original developer and if it has been modified or tampered with.</li>
-</ul>
- <h3>Scan the APK File with Google Play Protect</h3>
-<p>Another way to ensure that an APK file is safe and secure is to scan it with Google Play Protect before installing it. Google Play Protect is a built-in security feature that scans all apps on your device and warns you if any of them are harmful or malicious. To scan an APK file with Google Play Protect, follow these steps:</p>
- <ul>
-<li>Go to your device settings and tap on Google.</li>
-<li>Tap on Security and then on Google Play Protect.</li>
-<li>Tap on Scan Device For Security Threats and wait for the scan to finish.</li>
-<li>If any harmful apps are detected, tap on Remove Now or Uninstall to get rid of them.</li>
-<li>If no harmful apps are detected, tap on Done or OK to exit.</li>
-</ul>
- <h3>Update Your Apps Regularly</h3 <p>One of the drawbacks of using APK files from APKShub is that they may not be updated as frequently as the apps on Google Play Store. This means that you may miss out on some new features, bug fixes, or security patches that the original app developers release. To avoid this, you should update your apps regularly by following these steps:</p>
- <ul>
-<li>Open the APKShub app on your device.</li>
-<li>Tap on the menu icon at the top left corner of the screen.</li>
-<li>Tap on Check for Updates.</li>
-<li>You will see a list of apps that have new versions available on APKShub.</li>
-<li>Tap on the app you want to update and then tap on Download APK.</li>
-<li>Follow the same steps as before to download and install the APK file.</li>
-<li>You have now updated your app to the latest version.</li>
-</ul>
- <h2>Conclusion</h2>
-<p>APKShub is a website that offers free APK downloads for Android users. It allows you to access apps and games that are not available on Google Play Store, as well as modded versions that offer extra features or unlocked content. However, it also comes with some risks and challenges, such as downloading fake or malicious apps, violating the terms and conditions of the original app developers, encountering bugs or errors in the apps or games, or missing out on updates. Therefore, you should use APKShub at your own risk and discretion, and follow the tips we have shared in this article to use it safely.</p>
- <h3>FAQs</h3>
-<p>Here are some frequently asked questions about APKShub:</p>
- <ol>
-<li><b>Is APKShub legal?</b></li>
-<p>APKShub is not illegal in itself, as it does not host or distribute any copyrighted content. However, some of the apps or games that you can download from APKShub may be illegal or infringe on the intellectual property rights of their original developers. Therefore, you should use APKShub with caution and respect the laws of your country and the rights of the app developers.</p>
- <li><b>Is APKShub safe?</b></li>
-<p>APKShub is not completely safe, as there is no guarantee that all the APK files on its website are authentic and trustworthy. Some of them may be fake or malicious and harm your device or data. Therefore, you should check the APK files before installing them, scan them with Google Play Protect, and update them regularly to avoid any potential issues.</p>
- <li><b>What are the alternatives to APKShub?</b></li>
-<p>If you are looking for other websites or apps that offer free APK downloads for Android users, you can try some of these alternatives:</p>
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-<li>[APKMirror]: A popular and reputable website that offers safe and verified APK downloads for Android users. It has a large collection of official and unofficial apps and games from various categories and regions. It also offers beta versions and modded versions of some apps and games.</li>
-<li>[APKPure]: Another popular and reputable website that offers safe and verified APK downloads for Android users. It has a similar collection of official and unofficial apps and games as APKMirror, but also offers some exclusive apps and games that are not available on Google Play Store. It also has an app store app that allows you to download and update your apps easily.</li>
-<li>[Aptoide]: A decentralized and community-driven app store that offers free APK downloads for Android users. It has a huge collection of official and unofficial apps and games from various categories and regions. It also allows you to create your own app store and share your apps with other users.</li>
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-<h1>Black APK + OBB Download: How to Install and Play Black Desert Mobile on Android</h1>
- <p>If you are a fan of MMORPG games, you might have heard of Black Desert Mobile, a popular online game that offers stunning graphics, immersive gameplay, and a vast open world to explore. But how can you download and play this game on your Android device? In this article, we will show you how to get the Black APK + OBB files, how to install them, and how to play the game smoothly.</p>
- <h2>What is Black Desert Mobile?</h2>
- <h3>A brief introduction to the game and its features</h3>
- <p>Black Desert Mobile is a mobile version of the PC game Black Desert Online, which was released in 2015. It is developed by Pearl Abyss, a South Korean company that specializes in MMORPG games. The game is set in a fantasy world where you can create your own character, choose from various classes, customize your appearance, and embark on quests and adventures. You can also interact with other players, join guilds, trade items, craft weapons, and participate in PvP battles.</p>
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- <p>The game boasts of having high-quality graphics that rival console games, thanks to its proprietary engine that optimizes the performance and visuals for mobile devices. The game also has a dynamic weather system, day and night cycles, realistic animations, and detailed environments. The game is free to play, but it also offers in-app purchases for premium items and services.</p>
- <h3>The difference between APK and OBB files</h3>
- <p>To download and install Black Desert Mobile on your Android device, you will need two types of files: APK and OBB. APK stands for Android Package Kit, which is the file format used to distribute and install applications on Android devices. OBB stands for Opaque Binary Blob, which is a file format used to store large amounts of data that are not required to run the application. For example, an APK file may contain the code and resources for the user interface, while an OBB file may contain the graphics and audio for the game.</p>
- <p>The reason why some games require both APK and OBB files is that they are too large to be downloaded as a single file from the Google Play Store. The maximum size limit for an APK file is 100 MB, while an OBB file can be up to 4 GB. Therefore, some games split their content into smaller APK files and larger OBB files that are downloaded separately.</p>
- <h2>How to download Black APK + OBB files?</h2>
- <h3>The official source from Google Play Store</h3>
- <p>The easiest way to download Black APK + OBB files is from the Google Play Store, which is the official source for Android applications. To do this, you will need to have a Google account and a compatible device that meets the minimum requirements for the game. Here are the steps to follow:</p>
- <ol>
-<li>Open the Google Play Store app on your device or visit its website on your browser.</li>
-<li>Search for "Black Desert Mobile" or use this link: [Black Desert Mobile](^1^).</li>
-<li>Tap on "Install" or "Download" to start downloading the game.</li>
-<li>Wait for the download to finish. You will see a progress bar indicating how much of the APK file has been downloaded.</li>
-<li>Once the APK file is downloaded, tap on "Open" or "Play" to launch the game.</li>
-<li>The game will then start downloading the OBB file in the background. You will see another progress bar indicating how much of the OBB file has been downloaded.</li>
-<li> <li>Once the OBB file is downloaded, the game will automatically extract and copy it to the appropriate folder on your device.</li>
-<li>You can now enjoy playing Black Desert Mobile on your Android device.</li>
-</ol>
- <h3>The alternative sources from APK Downloader and YouTube</h3>
- <p>If you cannot download Black APK + OBB files from the Google Play Store, you can try using alternative sources such as APK Downloader and YouTube. However, you should be careful when using these sources, as they may contain malware or viruses that can harm your device. You should also check the reviews and ratings of the files before downloading them. Here are the steps to follow:</p>
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- <ol>
-<li>Visit an APK Downloader website such as [APKPure] or [APKMirror].</li>
-<li>Search for "Black Desert Mobile" or use these links: [APKPure] or [APKMirror].</li>
-<li>Download the latest version of the Black APK file and the Black OBB file. You may need to enable "Unknown Sources" in your device settings to allow the installation of files from outside the Google Play Store.</li>
-<li>Alternatively, you can also watch a YouTube video that shows how to download and install Black APK + OBB files. For example, you can use this link: [YouTube].</li>
-<li>Follow the instructions in the video or on the website to install the APK file and extract and copy the OBB file to the appropriate folder on your device.</li>
-<li>You can now enjoy playing Black Desert Mobile on your Android device.</li>
-</ol>
- <h2>How to install Black APK + OBB files?</h2>
- <h3>The steps to install the APK file</h3>
- <p>Once you have downloaded the Black APK file from either the Google Play Store or an alternative source, you will need to install it on your device. Here are the steps to follow:</p>
- <ol>
-<li>Locate the Black APK file on your device using a file manager app or your browser's download history.</li>
-<li>Tap on the file to open it. You may see a warning message that says "This type of file can harm your device. Do you want to keep Black.apk anyway?" Tap on "OK" to proceed.</li>
-<li>You may also see a message that says "For your security, your phone is not allowed to install unknown apps from this source." Tap on "Settings" and enable "Allow from this source" or "Unknown Sources".</li>
-<li>Tap on "Install" and wait for the installation to finish. You may see a message that says "App installed". Tap on "Open" or "Done".</li>
-<li>You have successfully installed the Black APK file on your device.</li>
-</ol>
- <h3>The steps to extract and copy the OBB file</h3>
- <p>Once you have downloaded the Black OBB file from either the Google Play Store or an alternative source, you will need to extract and copy it to the appropriate folder on your device. Here are the steps to follow:</p>
- <ol>
-<li>Locate the Black OBB file on your device using a file manager app or your browser's download history.</li>
-<li>Tap on the file to open it. You may need to use a zip extractor app such as [ZArchiver] or [RAR] to unzip the file.</li>
-<li>You will see a folder named "com.pearlabyss.blackdesertm.global". This is the OBB folder that contains all the data for the game.</li>
-<li>Copy or move this folder to the following location on your device: /Android/obb/. You may need to create this folder if it does not exist.</li>
-<li>You have successfully extracted and copied the Black OBB file to your device.</li>
-</ol>
- <h2>How to play Black Desert Mobile on Android?</h2>
- <h3>The basic requirements and settings</h3>
- <p>To play Black Desert Mobile on Android, you will need a device that meets the following minimum requirements:</p>
- <ul>
-<li>Android version 5.0 or higher</li>
-<li>At least 2 GB of RAM</li>
-<li>At least 4 GB of free storage space</li>
-<li>A stable internet connection</li>
-</ul>
- <p>You can also adjust some settings in the game to optimize your performance and experience. For example, you can change the graphics quality, frame rate, resolution, sound effects, and language in the game settings menu. You can also enable or disable auto-combat, auto-quest, notifications, and other features in the game options menu.</p>
- <h3>The tips and tricks to enjoy the game</h3>
- <p>To enjoy playing Black Desert Mobile on Android, you will need some tips and tricks to make the most of the game. Here are some of them:</p>
- <ul>
-<li>Choose a class that suits your play style and preferences. There are six classes available in the game: Warrior, Ranger, Witch, Giant, Valkyrie, and Hashashin. Each class has its own strengths, weaknesses, skills, and weapons. You can also change your class later in the game if you want to try something different.</li>
-<li>Complete the main quests and side quests to level up your character, earn rewards, and unlock new features. The main quests will guide you through the story and the world of Black Desert Mobile, while the side quests will give you extra challenges and opportunities. You can also use the auto-quest feature to complete quests faster and easier.</li>
-<li>Join a guild and cooperate with other players. A guild is a group of players who share a common goal and interest in the game. You can join or create a guild in the game and enjoy various benefits such as guild missions, guild wars, guild chat, and guild buffs. You can also make friends and allies with other players in your guild and help each other out.</li>
-<li>Explore the vast open world and discover its secrets. Black Desert Mobile has a huge and diverse world that you can explore freely. You can find various locations, NPCs, monsters, resources, and events in the world. You can also use the map and the navigation feature to find your way around.</li>
-<li>Craft and enhance your equipment and items. Black Desert Mobile has a rich crafting system that allows you to create and improve your own gear and items. You can use various materials, tools, and recipes to craft weapons, armor, potions, food, and more. You can also enhance your equipment by using black stones, crystals, or other items to increase its stats and effects.</li>
-</ul>
- <h2>Conclusion</h2>
- <p>Black Desert Mobile is a stunning MMORPG game that you can download and play on your Android device. To do this, you will need to get the Black APK + OBB files from either the Google Play Store or an alternative source. Then, you will need to install the APK file and extract and copy the OBB file to your device. Finally, you will need to launch the game and enjoy its features. We hope this article has helped you learn how to download and play Black Desert Mobile on Android.</p>
- <h2>FAQs</h2>
- <h3>What is the size of Black APK + OBB files?</h3>
- <p>The size of Black APK + OBB files may vary depending on the version and source of the files. However, as of June 2023, the approximate size of Black APK file is 96 MB, while the approximate size of Black OBB file is 3.8 GB.</p>
- <h3>Can I play Black Desert Mobile offline?</h3>
- <p>No, you cannot play Black Desert Mobile offline. The game requires a stable internet connection to access its online features such as multiplayer mode, guild chat, events, updates, etc.</p>
- <h3>Can I play Black Desert Mobile on PC?</h3>
- <p>Yes, you can play Black Desert Mobile on PC using an Android emulator such as [BlueStacks] or [NoxPlayer]. An Android emulator is a software that allows you to run Android applications on your PC. However, you may need a powerful PC to run the game smoothly on an emulator.</p>
- <h3>How can I get free pearls in Black Desert Mobile?</h3>
- <p>Pearls are the premium currency in Black Desert Mobile that you can use to buy various items and services in the game. You can get free pearls by completing achievements, participating in events, watching ads, or using coupon codes.</p>
- <h3>How can I contact the customer support of Black Desert Mobile?</h3>
- <p>If you have any issues or questions about Black Desert Mobile, you can contact the customer support of Pearl Abyss by using one of these methods:</p>
- <ul>
-<li>Email: [[email protected]]</li>
-<li>Website: [https://www.world.blackdesertm.com/]</li>
-<li>Facebook: [https://www.facebook.com/OfficialBlackDesertMobile]</li>
-<li>Twitter: [https://twitter.com/BlackDesertM_en]</li>
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- <p>If you love racing games, especially kart racing games, you might want to check out Beach Buggy Racing. It's a fun and exciting game that offers you a thrilling and varied experience. You can race against a field of rival drivers, each with unique personalities and special abilities. You can also collect and upgrade a variety of cars, from dune buggies to monster trucks. And you can use over 25 different power-ups to spice up the races, such as Dodgeball Frenzy, Fireball, and Oil Slick.</p>
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- <h2>What is Beach Buggy Racing?</h2>
- <h3>A kart racing game with various modes, tracks, power-ups, and customization options</h3>
- <p>Beach Buggy Racing is a kart racing game developed by Vector Unit, the makers of Riptide GP2 and Hydro Thunder Hurricane. It's a sequel to the popular Beach Buggy Blitz game that was released in 2012. The game features various modes, tracks, power-ups, and customization options that make it a fun and diverse experience.</p>
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- <p>But what makes Beach Buggy Racing really fun and exciting are the power-ups. You can use over 25 different power-ups to boost your speed, attack your opponents, or defend yourself from their attacks. You can use power-ups such as Dodgeball Frenzy, Fireball, Oil Slick, Death Bat, Electro Shield, and more. Each power-up has its own effects and strategies that you need to learn and master.</p>
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-<li>Second, you need to enable the installation of apps from unknown sources on your device. This is to allow the mod APK to be installed on your device. To do this, go to your device settings, then security, then enable unknown sources.</li>
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- <p>Beach Buggy Racing is a game that delivers exciting kart racing action with physics-based gameplay. You can feel the thrill of driving fast and furious on various terrains and environments. You can also perform stunts, drifts, jumps, and flips to gain speed and style points. You can also interact with the dynamic objects and obstacles on the tracks, such as ramps, bridges, rocks, animals, etc.</p>
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- <h3>Cool cars to customize and upgrade</h3>
- <p>As mentioned earlier, Beach Buggy Racing lets you collect and upgrade a variety of cool cars that suit your racing style. You can choose from 8 different cars such as dune buggies, muscle cars, lunar rovers, monster trucks, etc. You can also customize them with various paint jobs, decals, and accessories. You can also improve their performance by upgrading their engine, suspension, tires, and more.</p>
- <p>You can also unlock and use special cars that have unique abilities and features. For example, you can use the Lightning Car that can shoot lightning bolts at your opponents. Or you can use the Rock Stomper that can crush anything in its path.</p>
- <h3>Tons of amazing power-ups to use and master</h3>
- <p>Another feature that makes Beach Buggy Racing fun and exciting are the power-ups. You can use over 25 different power-ups to boost your speed, attack your opponents, or defend yourself from their attacks. You can use power-ups such as Dodgeball Frenzy, Fireball, Oil Slick, Death Bat, Electro Shield, and more. Each power-up has its own effects and strategies that you need to learn and master.</p>
- <p>You can also collect and play with a team of racers, each with their own unique power-up. You can choose from 12 different racers such as Rez, McSkelly, Roxie, Tiki Mon, etc. Each racer has their own personality and backstory that you can discover as you play the game.</p>
- <h3>15 spectacular race tracks to explore</h3>
- <p>Beach Buggy Racing also offers you 15 spectacular race tracks to explore and enjoy. You can race in dinosaur-infested jungles, lava-spewing volcanoes, beautiful beaches, and mysterious swamps. Each track has its own challenges and hazards that you need to overcome.</p>
- <p>You can also discover hidden shortcuts and secrets on each track that can give you an advantage or a surprise. You can also interact with the dynamic objects and obstacles on the tracks, such as ramps, bridges, rocks, animals, etc.</p>
- <h3>A team of racers to collect and play with</h3>
- <p>Finally, Beach Buggy Racing lets you collect and play with a team of racers that have their own unique power-ups and personalities. You can choose from 12 different racers such as Rez, McSkelly, Roxie, Tiki Mon, etc. Each racer has their own backstory and voice lines that you can discover as you play the game.</p>
- <h2>How to play Beach Buggy Racing?</h2>
- <h3>The controls and options for steering, braking, and using power-ups</h3>
- <p>Beach Buggy Racing is easy to play and control. You can choose from different options for steering, braking, and using power-ups. You can use the tilt option to steer your car by tilting your device left or right. You can also use the touch option to steer your car by tapping on the left or right side of the screen. You can also use the gamepad option to steer your car by using a compatible controller.</p>
- <p>You can also choose from different options for braking and using power-ups. You can use the auto-brake option to brake automatically when you release the gas pedal. You can also use the manual brake option to brake by tapping on the brake button on the screen. You can also use the power-up button on the screen to activate your power-up when you have one.</p>
- <p>You can also adjust the sensitivity and calibration of the controls in the settings menu. You can also enable or disable the vibration, sound, and music in the game.</p>
- <h3>The game modes and challenges to choose from</h3>
- <p>Beach Buggy Racing offers you various game modes and challenges to choose from. You can play the game solo or with friends in split screen mode. You can also customize your own game rules by setting your preferred configurations of power-ups, race rules, lap counts, etc.</p>
- <p>Here are some of the game modes and challenges that you can play:</p>
- <ul>
-<li>Adventure mode: This is the main mode of the game where you race through 15 different tracks and unlock new cars, racers, power-ups, and modes. You can also earn stars by completing various objectives such as finishing first, collecting coins, smashing objects, etc.</li>
-<li>Championship mode: This is a mode where you compete in a series of races against a group of rival drivers. You need to finish in the top three positions to advance to the next race. You can also earn trophies by winning each championship.</li>
-<li>Quick Race mode: This is a mode where you can race on any track that you have unlocked with any car and racer that you have unlocked. You can also choose the number of opponents, laps, and difficulty level.</li>
-<li>Daily Challenge mode: This is a mode where you can play a new challenge every day that tests your skills and luck. You can earn coins and gems by completing each challenge.</li>
-<li>Special Events mode: This is a mode where you can play special events that are available for a limited time. You can earn exclusive rewards by participating in these events.</li>
-</ul>
- <h3>The tips and tricks to improve your skills and win races</h3>
- <p>Beach Buggy Racing is a game that requires both skill and strategy to win races. Here are some tips and tricks that can help you improve your skills and win races:</p>
- <ul>
-<li>Learn the tracks: Each track has its own layout, shortcuts, hazards, and secrets that you need to learn and memorize. You should practice each track and find the best route and strategy for each one.</li>
-<li>Use the power-ups wisely: Each power-up has its own effects and strategies that you need to master. You should know when and how to use each power-up effectively. You should also know how to avoid or counter your opponents' power-ups.</li>
-<li>Upgrade your cars: Each car has its own stats and performance that you need to upgrade. You should upgrade your engine, suspension, tires, and more to improve your speed, handling, acceleration, and durability.</li>
-<li>Choose your racers: Each racer has their own unique power-up that you need to use. You should choose a racer that suits your racing style and strategy. You should also level up your racers by winning races and completing challenges.</li>
-<li>Customize your game rules: You can customize your own game rules by setting your preferred configurations of power-ups, race rules, lap counts, etc. You should experiment with different settings and find what works best for you.</li>
-<h2>How does Beach Buggy Racing compare with other racing games?</h2>
- <h3>The similarities and differences with Mario Kart and other kart racers</h3>
- <p>Beach Buggy Racing is a game that is inspired by and similar to Mario Kart and other kart racers. It has many elements and features that are common in the genre, such as:</p>
- <ul>
-<li>Kart racing action with colorful graphics and sound effects</li>
-<li>Various modes, tracks, power-ups, and customization options</li>
-<li>A team of racers with unique personalities and abilities</li>
-<li>Split screen multiplayer mode for up to 4 players</li>
-<li>Fun and casual gameplay that appeals to a wide audience</li>
-</ul>
- <p>However, Beach Buggy Racing also has some differences and innovations that make it stand out from the crowd, such as:</p>
- <ul>
-<li>Physics-based gameplay that adds realism and challenge to the races</li>
-<li>Diverse and dynamic tracks that have hidden shortcuts and surprises</li>
-<li>Over 25 different power-ups that have varied effects and strategies</li>
-<li>A garage full of cool cars that can be customized and upgraded</li>
-<li>A mod APK that allows you to buy anything for free</li>
-</ul>
- <h3>The pros and cons of Beach Buggy Racing</h3>
- <p>Beach Buggy Racing is a game that has its pros and cons. Here are some of them:</p>
- <h4>The pros</h4>
- <ul>
-<li>It's a fun and exciting game that offers a thrilling and varied experience</li>
-<li>It's easy to play and control with different options for steering, braking, and using power-ups</li>
-<li>It has realistic graphics and sound effects that enhance the immersion and atmosphere of the game</li>
-<li>It has tons of amazing power-ups to use and master</li>
-<li>It has 15 spectacular race tracks to explore and enjoy</li>
-<li>It has a team of racers to collect and play with</li>
-<li>It has a mod APK that allows you to buy anything for free</li>
-</ul>
- <h4>The cons</h4>
- <ul>
-<li>It might face some technical issues or errors in the game</li>
-<li>It might lose your progress or data in the game</li>
-<li>It might get banned or penalized by the game developers or publishers</li>
-<li>It might be too easy or too hard for some players</li>
-<li>It might be too similar or too different from other racing games</li>
-<li>It might be too addictive or too boring for some players</li>
-</ul>
- <h3>The ratings and reviews from critics and players</h3>
- <p>Beach Buggy Racing is a game that has received positive ratings and reviews from critics and players. Here are some of them:</p>
- <table border="1">
-<tr><th>Critic/Player</th><th>Rating/Review</th></tr>
-<tr><td>Matt Suckley from Pocket Gamer</td><td>"Beach Buggy Racing is a slick, polished kart racer that's as fun as it is good-looking."</td></tr>
-<tr><td>Daniel Celeste from AppAdvice</td><td>"Beach Buggy Racing is an absolute blast to play, whether you’re going solo or playing with friends."</td></tr>
-<tr><td>A Google user named John Smith</td><td>"This game is awesome. It has great graphics, gameplay, power-ups, cars, tracks, etc. I love it."</td></tr>
-<tr><td>A Google user named Jane Doe</td><td>"This game is terrible. It has bad graphics, gameplay, power-ups, cars, tracks, etc. I hate it."</td></tr>
-<tr><td>Average rating on Google Play Store</td><td>"4.5 out of 5 stars based on over 1.8 million reviews"</td></tr>
-<tr><td>Average rating on App Store</td><td>"4.7 out of 5 stars based on over 28 thousand reviews"</td></tr>
-</table>
- <p>Note: The links for the ratings and reviews are:</p>
- <ol>
-<li><a href="">https://www.pocketgamer.com/articles/061347/beach-buggy-racing/</a></li>
-0060/amp/1449480060/amp/1449480060/amp/1449480060/amp/1449480060/amp/1449480060/amp/1449480060/amp/1449480060/amp/1449480060</a></li>
-<li><a href="">https://play.google.com/store/apps/details?id=com.vectorunit.purple.googleplay&hl=en_US&gl=US</a></li>
-<li><a href="">https://apps.apple.com/us/app/beach-buggy-racing/id882119723</a></li>
-</ol>
- <h2>Conclusion</h2>
- <p>Beach Buggy Racing is a fun and exciting kart racing game that offers you a thrilling and varied experience. You can race against a field of rival drivers, each with unique personalities and special abilities. You can also collect and upgrade a variety of cars, from dune buggies to monster trucks. And you can use over 25 different power-ups to spice up the races, such as Dodgeball Frenzy, Fireball, and Oil Slick.</p>
- <p>If you want to enjoy the game without spending any money, you can try Beach Buggy Racing Mod APK Free Purchase. It's a modified version of the game that allows you to buy anything in the game without spending any real money. You can unlock and upgrade all the cars, racers, power-ups, tracks, and modes for free. You can also access all the premium features and content that are normally available only through in-app purchases.</p>
- <p>However, you should be aware of the benefits and risks of using the mod APK. You might face some technical issues or errors in the game. You might also lose your progress or data in the game. And you might also get banned or penalized by the game developers or publishers. Therefore, you should use the mod APK at your own risk and discretion.</p>
- <p>Beach Buggy Racing is a game that is similar to and different from other racing games. It has many elements and features that are common in the genre, such as kart racing action, various modes, tracks, power-ups, and customization options. But it also has some differences and innovations that make it stand out from the crowd, such as physics-based gameplay, diverse and dynamic tracks, over 25 different power-ups, a garage full of cool cars, and a mod APK that allows you to buy anything for free.</p>
- <p>Beach Buggy Racing is a game that has received positive ratings and reviews from critics and players. It's a game that appeals to a wide audience of racing fans and casual gamers. It's a game that delivers fun and excitement in every race.</p>
- <p>If you're looking for a kart racing game that offers you a thrilling and varied experience, you should give Beach Buggy Racing a try. And if you want to enjoy the game without spending any money, you should give Beach Buggy Racing Mod APK Free Purchase a try. But remember to use it at your own risk and discretion.</p>
- <p>We hope that this article has helped you learn more about Beach Buggy Racing and its mod APK. We hope that you have fun playing the game and winning races. And we hope that you share this article with your friends who might be interested in the game.</p>
- <h2>FAQs</h2>
- <p>Here are some frequently asked questions about Beach Buggy Racing and its mod APK:</p>
- <ol>
-<li>Q: Is Beach Buggy Racing free to play?</li>
-<li>A: Yes, Beach Buggy Racing is free to play. You can download and play the game without spending any money. However, the game also offers in-app purchases that allow you to buy coins, gems, cars, racers, power-ups, tracks, modes, and more.</li>
-<li>Q: Is Beach Buggy Racing Mod APK Free Purchase safe to use?</li>
-<li>A: Beach Buggy Racing Mod APK Free Purchase is not officially endorsed or supported by the game developers or publishers. It's a modified version of the game that bypasses the payment system and allows you to buy anything for free. Therefore, it might not be safe to use. It might cause some technical issues or errors in the game. It might also lose your progress or data in the game. And it might also get banned or penalized by the game developers or publishers.</li>
-<li>Q: How do I update Beach Buggy Racing Mod APK Free Purchase?</li>
-<li>A: Beach Buggy Racing Mod APK Free Purchase might not be compatible with the latest version of the game. Therefore, you might need to update it manually by downloading and installing the latest version of the mod APK from a reliable source. However, you should be careful when updating the mod APK as it might overwrite or delete your existing data in the game.</li>
-<li>Q: How do I play Beach Buggy Racing with friends?</li>
-<li>A: Beach Buggy Racing supports split screen multiplayer mode for up to 4 players. You can play with your friends on the same device by using different controllers or touch controls. You can also customize your own game rules by setting your preferred configurations of power-ups, race rules, lap counts, etc.</li>
-<li>Q: What are the best cars and power-ups in Beach Buggy Racing?</li>
-<li>A: Beach Buggy Racing has 8 different cars and over 25 different power-ups that you can use and upgrade. The best cars and power-ups depend on your personal preference and racing style. However, some of the most popular and powerful ones are:</li>
-<ul>
-<li>The Lightning Car: This car can shoot lightning bolts at your opponents and stun them for a few seconds.</li>
-<li>The Rock Stomper: This car can crush anything in its path and deal damage to your opponents.</li>
-<li>The Fireball: This power-up can launch a fiery projectile that explodes on impact and sets your opponents on fire.</li>
-<li>The Death Bat: This power-up can summon a swarm of bats that attack your opponents and drain their health.</li>
-<li>The Electro Shield: This power-up can create a protective shield around your car that zaps any opponents that touch it.</li>
-</ul>
-</ol></p> 197e85843d<br />
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-<p>If you are a fan of action, adventure, and history, you might have heard of Spartacus, a TV series that tells the story of a legendary gladiator who led a slave rebellion against the Roman Republic. The first season of the series, titled Spartacus: Blood and Sand, was released in 2010 and received critical acclaim and popularity. In this article, we will tell you what Spartacus Season 1 is about, who are the main characters and actors, what are the ratings and reviews, and how to download Spartacus Season 1 in Hindi 480p filmyzilla.</p>
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-<p>Here are some of the main characters and actors in Spartacus Season 1:</p>
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- <h3>What are the ratings and reviews of Spartacus Season 1?</h3>
-<p>Spartacus Season 1 received positive ratings and reviews from critics and audiences alike. It has a score of 8.5 out of 10 on IMDb, 7.8 out of 10 on TV.com, and 75% on Rotten Tomatoes. The show was praised for its action scenes, visual effects, costumes, sets, and performances. Some of the critics' comments are:</p>
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-<li><b>Q: How many episodes are there in Spartacus Season 1?</b></li>
-<li>A: There are 13 episodes in Spartacus Season 1.</li>
-<li><b>Q: Who is the creator of Spartacus?</b></li>
-<li>A: The creator of Spartacus is Steven S. DeKnight.</li>
-<li><b>Q: What happened to Andy Whitfield after Spartacus Season 1?</b></li>
-<li>A: Andy Whitfield was diagnosed with non-Hodgkin lymphoma after Spartacus Season 1 and died in 2011. He was replaced by Liam McIntyre in Spartacus Season 2.</li>
-<li><b>Q: Is Spartacus based on a true story?</b></li>
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-<li><b>Q: Where can I watch Spartacus Season 1 in English?</b></li>
-<li>A: You can watch Spart acus Season 1 in English on Netflix, Amazon Prime Video, Hulu, or Starz.</li>
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- <h2>How to Play Zombie Knocks Door 3D</h2>
-<p>Zombie Knocks Door 3D is a game that is easy to learn but hard to master. Here are some of the basics of how to play the game:</p>
-<h3>The gameplay</h3>
-<p>The gameplay of Zombie Knocks Door 3D is simple but exciting. You have to control your character using the virtual joystick on the left side of the screen. You can move around your house and look for weapons, ammo, health kits, and other items that can help you survive. You can also interact with some objects, such as doors, windows, cabinets, etc., by tapping on them.</p>
-<p>You have to shoot the zombies using the fire button on the right side of the screen. You can aim by dragging your finger on the screen. You can also switch between different weapons by tapping on their icons on the bottom of the screen. You can reload your weapon by tapping on the reload button next to it.</p>
-<p>You have to keep an eye on your health bar on the top left corner of the screen. If it reaches zero, you will die and lose the game. You can restore your health by using health kits or by finding safe rooms in your house where you can rest for a while.</p>
-<p>You also have to keep an eye on the zombie meter on the top right corner of the screen. It shows how many zombies are outside your house and how close they are to breaking in <p>If the zombie meter reaches the red zone, it means that the zombies are about to break in and you have to prepare for a final stand. You can use some items, such as barricades, turrets, and explosives, to slow down or stop the zombies from entering your house. You can also use some special abilities, such as adrenaline, rage, and freeze, to boost your performance and deal more damage to the zombies.</p>
-<h3>The levels</h3>
-<p>Zombie Knocks Door 3D has different levels that you can play and unlock as you progress through the game. Each level has a different setting, such as a farmhouse, a mansion, a cabin, etc., and a different difficulty, such as easy, normal, hard, etc. You can choose the level you want to play from the main menu or by tapping on the map icon on the top of the screen.</p>
-<p>Each level has a different objective that you have to complete in order to win. Some of the objectives are:</p>
-<ul>
-<li>Survive for a certain amount of time.</li>
-<li>Kill a certain number of zombies.</li>
-<li>Protect a certain object or person.</li>
-<li>Escape from a certain location.</li>
-</ul>
-<p>You can also earn stars by completing some optional tasks in each level, such as:</p>
-<ul>
-<li>Kill zombies with headshots.</li>
-<li>Kill zombies with melee weapons.</li>
-<li>Kill zombies without taking damage.</li>
-<li>Kill zombies with explosives.</li>
-</ul>
-<p>You can use the stars to unlock new weapons and items in the shop. You can also replay any level you have completed to improve your score and earn more stars.</p>
-<h3>The weapons</h3>
-<p>Zombie Knocks Door 3D has a variety of weapons that you can use to fight the zombies. You can find them in your house or buy them from the shop. Some of the weapons are:</p>
-<table>
-<tr><th>Weapon</th><th>Type</th><th>Description</th></tr>
-<tr><td>Pistol</td><td>Handgun</td><td>A basic weapon that has low damage but high accuracy and fast reload speed.</td></tr>
-<tr><td>Shotgun</td><td>Shotgun</td><td>A powerful weapon that has high damage but low accuracy and slow reload speed. It can hit multiple zombies at once.</td></tr>
-<tr><td>Rifle</td><td>Rifle</td><td>A versatile weapon that has moderate damage and accuracy and medium reload speed. It can shoot long distances.</td></tr>
-<tr><td>Sniper</td><td>Sniper</td><td>A deadly weapon that has very high damage and accuracy but very slow reload speed. It can shoot through walls and headshot zombies instantly.</td></tr>
-<tr><td>Machine Gun</td><td>Machine Gun</td><td>A rapid-fire weapon that has low damage but high fire rate and large magazine size. It can spray bullets at zombies.</td></tr>
-<tr><td>Rocket Launcher</td><td>Rocket Launcher</td><td>An explosive weapon that has very high damage but low fire rate and small magazine size. It can blast zombies away with rockets.</td></tr>
-<tr><td>Flamethrower</td><td>Flamethrower</td><td>A fiery weapon that has moderate damage but high fire rate and large fuel tank. It can burn zombies with flames.</td></tr>
-<tr><td>Grenade Launcher</td><td>Grenade Launcher</td><td>An explosive weapon that has high damage but low fire rate and small magazine size. It can lob grenades at zombies.</td></tr>
-<tr><td>Crossbow</td><td>Crossbow</td><td>A silent weapon that has high damage but low fire rate and small magazine size. It can shoot arrows at zombies.</td></tr>
-<tr><td>Chainsaw</td><td>Melee</td><td>A brutal weapon that has very high damage but very low range. It can slice zombies with blades.</td></tr>
-<tr><td>Baseball Bat</td><td>Melee</td><td>A simple weapon that has low damage but high range. It can hit zombies with swings.</td></tr>
-<tr><td>Katana</td><td>Melee</t d><td>A sharp weapon that has high damage but low range. It can slash zombies with cuts.</td></tr>
-</table>
-<p>You can upgrade your weapons by spending coins or gems that you can earn by playing the game or by watching ads. You can upgrade the damage, accuracy, fire rate, reload speed, magazine size, and special effects of your weapons. You can also buy skins for your weapons to make them look cooler.</p>
- <h2>How to Download Zombie Knocks Door 3D APK</h2>
-<p>Zombie Knocks Door 3D is a game that you can download for free from the Google Play Store or the App Store. However, if you want to enjoy some extra benefits, such as unlimited coins and gems, unlocked weapons and items, and no ads, you can download the Zombie Knocks Door 3D APK file instead.</p>
-<p>The APK file is a modified version of the original game that gives you access to all the features and content without spending any money. However, you have to be careful when downloading the APK file from unknown sources, as some of them may contain viruses or malware that can harm your device. Here are some of the steps to download and install the Zombie Knocks Door 3D APK file safely:</p>
-<h3>The benefits of downloading the APK file instead of the official app</h3>
-<ul>
-<li>You can get unlimited coins and gems that you can use to buy and upgrade weapons and items.</li>
-<li>You can get all the weapons and items unlocked from the start, so you don't have to wait or grind to get them.</li>
-<li>You can get rid of all the ads that may interrupt your gameplay or consume your data.</li>
-<li>You can get access to the latest updates and features before they are released on the official app.</li>
-<li>You can play the game offline without any internet connection.</li>
-</ul>
-<h3>The steps to download and install the APK file on your Android device</h3>
-<ol>
-<li>Go to a trusted website that provides the Zombie Knocks Door 3D APK file, such as [APKPure] or [APKMirror].</li>
-<li>Tap on the download button and wait for the file to be downloaded on your device.</li>
-<li>Go to your device settings and enable the option to install apps from unknown sources. This will allow you to install the APK file without any restrictions.</li>
-<li>Go to your file manager and locate the downloaded APK file. Tap on it and follow the instructions to install it on your device.</li>
-<li>Launch the game and enjoy playing Zombie Knocks Door 3D with all the benefits.</li>
-</ol>
-<h3>The precautions to take before downloading the APK file from unknown sources</h3>
-<ul>
-<li>Make sure that your device has enough storage space and battery life to download and install the APK file.</li>
-<li>Make sure that you have a reliable antivirus or security app on your device that can scan and protect your device from any potential threats.</li>
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-<li>Make sure that you update the APK file regularly, as some of them may become outdated or incompatible with your device or system.</li>
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- <h2>How to Enjoy Zombie Knocks Door 3D More</h2>
-<p>Zombie Knocks Door 3D is a game that will provide you with hours of fun and entertainment. However, if you want to make your experience even better, here are some tips and tricks that will help you enjoy Zombie Knocks Door 3D more:</p> <h3>The tips and tricks</h3>
-<ul>
-<li>Aim for the head. Headshots deal more damage and can kill zombies faster. They also save you ammo and time.</li>
-<li>Use the environment. You can use some objects in your house, such as furniture, lamps, vases, etc., to block or distract the zombies. You can also use some objects outside, such as cars, barrels, gas tanks, etc., to explode or crush the zombies.</li>
-<li>Be strategic. You can use some items, such as grenades, mines, traps, etc., to set up ambushes or traps for the zombies. You can also use some abilities, such as adrenaline, rage, freeze, etc., to enhance your performance or weaken the zombies.</li>
-<li>Be flexible. You can switch between different weapons and items depending on the situation and the type of zombies you are facing. You can also change your position and angle to get a better shot or avoid being surrounded.</li>
-<li>Be smart. You can use some features, such as the pause button, the map icon, the settings icon, etc., to pause the game, check your progress, adjust your preferences, etc., without losing your focus or momentum.</li>
-</ul>
-<h3>The features</h3>
-<ul>
-<li>The modes. Zombie Knocks Door 3D has different modes that you can play and enjoy. Some of the modes are:</li>
-<ul>
-<li>Story mode: This is the main mode where you have to complete different levels and objectives.</li>
-<li>Survival mode: This is the endless mode where you have to survive as long as possible and kill as many zombies as you can.</li>
-<li>Challenge mode: This is the mode where you have to complete specific tasks and challenges within a time limit or with limited resources.</li>
-<li>Multiplayer mode: This is the mode where you can play with or against other players online or offline.</li>
-</ul>
-<li>The options. Zombie Knocks Door 3D has different options that you can customize and tweak. Some of the options are:</li>
-<ul>
-<li>Graphics: You can adjust the graphics quality and resolution of the game to suit your device and preference.</li>
-<li>Sound: You can adjust the sound volume and effects of the game to suit your mood and environment.</li>
-<li>Controls: You can adjust the sensitivity and layout of the controls to suit your style and comfort.</li>
-<li>Language: You can choose the language of the game from a variety of options.</li>
-</ul>
-</ul>
-<h3>The community</h3>
-<p>Zombie Knocks Door 3D has a large and active community of players and fans that you can connect with and share your feedback. You can join the official website, Facebook page, Twitter account, Instagram account, YouTube channel, Discord server, Reddit forum, etc., of Zombie Knocks Door 3D and interact with other players and developers. You can also leave a review and rating on the Google Play Store or the App Store and help other players discover and enjoy Zombie Knocks Door 3D.</p>
- <h2>Conclusion</h2>
-<p>Zombie Knocks Door 3D is a game that will satisfy your zombie cravings and give you a fun and thrilling experience. You will love playing Zombie Knocks Door 3D with its amazing gameplay, graphics, sound, weapons, items, levels, modes, options, and community. You will also love downloading Zombie Knocks Door 3D APK file with its extra benefits and features. If you are looking for a game that will keep you entertained for hours and challenge your skills and strategy, Zombie Knocks Door 3D is the game for you.</p>
-<p>So what are you waiting for? Download Zombie Knocks Door 3D APK file now and start playing Zombie Knocks Door 3D today!</p>
- <h2>FAQs</h2>
-<p>Here are some of the frequently asked questions and answers about Zombie Knocks Door 3D:</p>
-<ol>
-<li><b>Is Zombie Knocks Door 3D free to play?</b></li>
-<p>Yes, Zombie Knocks Door 3D is free to play. However, it contains some in-app purchases that you can buy with real money to get more coins and gems, unlock more weapons and items, remove ads, etc. You can also download Zombie Knocks Door 3D APK file to get all these benefits for free.</p>
- <li><b>Is Zombie Knocks Door 3D safe to download?</b></li>
-<p>Yes, Zombie Knocks Door 3D is safe to download from the Google Play Store or the App Store. However, if you want to download Zombie Knocks Door 3D APK file from unknown sources, you have to be careful and follow some precautions to avoid any viruses or malware that may harm your device. You can read the steps and precautions to download and install Zombie Knocks Door 3D APK file safely in the article above.</p>
- <li><b>Is Zombie Knocks Door 3D compatible with my device?</b></li>
-<p>Zombie Knocks Door 3D is compatible with most Android and iOS devices that have at least 2 GB of RAM and 500 MB of free storage space. However, some devices may experience some performance issues or bugs due to different specifications or system versions. You can check the compatibility of your device on the Google Play Store or the App Store before downloading the game. You can also contact the developers of Zombie Knocks Door 3D if you encounter any problems or errors while playing the game.</p>
- <li><b>How can I contact the developers of Zombie Knocks Door 3D?</b></li>
-<p>You can contact the developers of Zombie Knocks Door 3D by sending them an email at [[email protected]] or by filling out the contact form on their official website [zombieknocksdoor3d.com]. You can also follow them on their social media accounts and leave them a message or a comment. The developers of Zombie Knocks Door 3D are very responsive and friendly, and they will try to answer your questions and solve your issues as soon as possible.</p>
- <li><b>How can I support the developers of Zombie Knocks Door 3D?</b></li>
-<p>You can support the developers of Zombie Knocks Door 3D by playing and enjoying their game, by leaving a positive review and rating on the Google Play Store or the App Store, by sharing the game with your friends and family, by watching ads or making in-app purchases, or by donating to them via PayPal or Patreon. You can also give them your feedback and suggestions on how to improve the game and make it more fun and exciting.</p>
-</ol></p> 197e85843d<br />
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-<br />

spaces/AIGC-Audio/AudioGPT/sound_extraction/model/film.py

@@ -1,27 +0,0 @@
-import torch
-import torch.nn as nn
-
-class Film(nn.Module):
-    def __init__(self, channels, cond_embedding_dim):
-        super(Film, self).__init__()
-        self.linear = nn.Sequential(
-            nn.Linear(cond_embedding_dim, channels * 2),
-            nn.ReLU(inplace=True),
-            nn.Linear(channels * 2, channels),
-            nn.ReLU(inplace=True)
-        )
-
-    def forward(self, data, cond_vec):
-        """
-        :param data: [batchsize, channels, samples] or [batchsize, channels, T, F] or [batchsize, channels, F, T]
-        :param cond_vec: [batchsize, cond_embedding_dim]
-        :return:
-        """
-        bias = self.linear(cond_vec)  # [batchsize, channels]
-        if len(list(data.size())) == 3:
-            data = data + bias[..., None]
-        elif len(list(data.size())) == 4:
-            data = data + bias[..., None, None]
-        else:
-            print("Warning: The size of input tensor,", data.size(), "is not correct. Film is not working.")
-        return data

spaces/AIGC-Audio/AudioGPT/text_to_speech/egs/datasets/audio/wenetspeech/preprocess.py

@@ -1,33 +0,0 @@
-import glob
-from data_gen.tts.base_preprocess import BasePreprocessor
-
-
-class WenetSpeechPreprocess(BasePreprocessor):
-    def meta_data(self):
-        wavfn2text = {}
-
-        def get_wavfn2text():
-            d = open(f'{self.raw_data_dir}/extracted_wav/wenetspeech.txt').readlines()
-            d = [l.strip().split("\t") for l in d if l.strip() != '' and 'podcast' in l]
-            d = {l[0]: l[1] for l in d}
-            wavfn2text.update(d)
-
-        get_wavfn2text()
-
-        all_wavs = sorted(wavfn2text.keys())
-
-        for wav_fn in all_wavs:
-            wav_basename = wav_fn.split("/")[-2]+"_"+wav_fn.split("/")[-1]
-            spk_name = 'asr_data'
-            item_name = f'{spk_name}_{wav_basename}'
-            yield {
-                'item_name': item_name, 
-                'wav_fn': wav_fn.replace("/home/jzy/dict_idea/NeuralSeq/", ""), 
-                'txt': wavfn2text[wav_fn], 
-                'spk_name': spk_name
-                }
-
-
-
-if __name__ == "__main__":
-    WenetSpeechPreprocess.process()

spaces/AIGC-Audio/Make_An_Audio/ldm/modules/losses_audio/vggishish/train_melception.py

@@ -1,241 +0,0 @@
-import random
-
-import numpy as np
-import torch
-import torchvision
-from omegaconf import OmegaConf
-from torch.utils.data.dataloader import DataLoader
-from torchvision.models.inception import BasicConv2d, Inception3
-from tqdm import tqdm
-
-from dataset import VGGSound
-from logger import LoggerWithTBoard
-from loss import WeightedCrossEntropy
-from metrics import metrics
-from transforms import Crop, StandardNormalizeAudio, ToTensor
-
-
-# TODO: refactor  ./evaluation/feature_extractors/melception.py to handle this class as well.
-# So far couldn't do it because of the difference in outputs
-class Melception(Inception3):
-
-    def __init__(self, num_classes, **kwargs):
-        # inception = Melception(num_classes=309)
-        super().__init__(num_classes=num_classes, **kwargs)
-        # the same as https://github.com/pytorch/vision/blob/5339e63148/torchvision/models/inception.py#L95
-        # but for 1-channel input instead of RGB.
-        self.Conv2d_1a_3x3 = BasicConv2d(1, 32, kernel_size=3, stride=2)
-        # also the 'hight' of the mel spec is 80 (vs 299 in RGB) we remove all max pool from Inception
-        self.maxpool1 = torch.nn.Identity()
-        self.maxpool2 = torch.nn.Identity()
-
-    def forward(self, x):
-        x = x.unsqueeze(1)
-        return super().forward(x)
-
-def train_inception_scorer(cfg):
-    logger = LoggerWithTBoard(cfg)
-
-    random.seed(cfg.seed)
-    np.random.seed(cfg.seed)
-    torch.manual_seed(cfg.seed)
-    torch.cuda.manual_seed_all(cfg.seed)
-    # makes iterations faster (in this case 30%) if your inputs are of a fixed size
-    # https://discuss.pytorch.org/t/what-does-torch-backends-cudnn-benchmark-do/5936/3
-    torch.backends.cudnn.benchmark = True
-
-    meta_path = './data/vggsound.csv'
-    train_ids_path = './data/vggsound_train.txt'
-    cache_path = './data/'
-    splits_path = cache_path
-
-    transforms = [
-        StandardNormalizeAudio(cfg.mels_path, train_ids_path, cache_path),
-    ]
-    if cfg.cropped_size not in [None, 'None', 'none']:
-        logger.print_logger.info(f'Using cropping {cfg.cropped_size}')
-        transforms.append(Crop(cfg.cropped_size))
-    transforms.append(ToTensor())
-    transforms = torchvision.transforms.transforms.Compose(transforms)
-
-    datasets = {
-        'train': VGGSound('train', cfg.mels_path, transforms, splits_path, meta_path),
-        'valid': VGGSound('valid', cfg.mels_path, transforms, splits_path, meta_path),
-        'test': VGGSound('test', cfg.mels_path, transforms, splits_path, meta_path),
-    }
-
-    loaders = {
-        'train': DataLoader(datasets['train'], batch_size=cfg.batch_size, shuffle=True, drop_last=True,
-                            num_workers=cfg.num_workers, pin_memory=True),
-        'valid': DataLoader(datasets['valid'], batch_size=cfg.batch_size,
-                            num_workers=cfg.num_workers, pin_memory=True),
-        'test': DataLoader(datasets['test'], batch_size=cfg.batch_size,
-                           num_workers=cfg.num_workers, pin_memory=True),
-    }
-
-    device = torch.device(cfg.device if torch.cuda.is_available() else 'cpu')
-
-    model = Melception(num_classes=len(datasets['train'].target2label))
-    model = model.to(device)
-    param_num = logger.log_param_num(model)
-
-    if cfg.optimizer == 'adam':
-        optimizer = torch.optim.Adam(
-            model.parameters(), lr=cfg.learning_rate, betas=cfg.betas, weight_decay=cfg.weight_decay)
-    elif cfg.optimizer == 'sgd':
-        optimizer = torch.optim.SGD(
-            model.parameters(), lr=cfg.learning_rate, momentum=cfg.momentum, weight_decay=cfg.weight_decay)
-    else:
-        raise NotImplementedError
-
-    if cfg.cls_weights_in_loss:
-        weights = 1 / datasets['train'].class_counts
-    else:
-        weights = torch.ones(len(datasets['train'].target2label))
-    criterion = WeightedCrossEntropy(weights.to(device))
-
-    # loop over the train and validation multiple times (typical PT boilerplate)
-    no_change_epochs = 0
-    best_valid_loss = float('inf')
-    early_stop_triggered = False
-
-    for epoch in range(cfg.num_epochs):
-
-        for phase in ['train', 'valid']:
-            if phase == 'train':
-                model.train()
-            else:
-                model.eval()
-
-            running_loss = 0
-            preds_from_each_batch = []
-            targets_from_each_batch = []
-
-            prog_bar = tqdm(loaders[phase], f'{phase} ({epoch})', ncols=0)
-            for i, batch in enumerate(prog_bar):
-                inputs = batch['input'].to(device)
-                targets = batch['target'].to(device)
-
-                # zero the parameter gradients
-                optimizer.zero_grad()
-
-                # forward + backward + optimize
-                with torch.set_grad_enabled(phase == 'train'):
-                    # inception v3
-                    if phase == 'train':
-                        outputs, aux_outputs = model(inputs)
-                        loss1 = criterion(outputs, targets)
-                        loss2 = criterion(aux_outputs, targets)
-                        loss = loss1 + 0.4*loss2
-                        loss = criterion(outputs, targets, to_weight=True)
-                    else:
-                        outputs = model(inputs)
-                        loss = criterion(outputs, targets, to_weight=False)
-
-                if phase == 'train':
-                    loss.backward()
-                    optimizer.step()
-
-                # loss
-                running_loss += loss.item()
-
-                # for metrics calculation later on
-                preds_from_each_batch += [outputs.detach().cpu()]
-                targets_from_each_batch += [targets.cpu()]
-
-                # iter logging
-                if i % 50 == 0:
-                    logger.log_iter_loss(loss.item(), epoch*len(loaders[phase])+i, phase)
-                    # tracks loss in the tqdm progress bar
-                    prog_bar.set_postfix(loss=loss.item())
-
-            # logging loss
-            epoch_loss = running_loss / len(loaders[phase])
-            logger.log_epoch_loss(epoch_loss, epoch, phase)
-
-            # logging metrics
-            preds_from_each_batch = torch.cat(preds_from_each_batch)
-            targets_from_each_batch = torch.cat(targets_from_each_batch)
-            metrics_dict = metrics(targets_from_each_batch, preds_from_each_batch)
-            logger.log_epoch_metrics(metrics_dict, epoch, phase)
-
-            # Early stopping
-            if phase == 'valid':
-                if epoch_loss < best_valid_loss:
-                    no_change_epochs = 0
-                    best_valid_loss = epoch_loss
-                    logger.log_best_model(model, epoch_loss, epoch, optimizer, metrics_dict)
-                else:
-                    no_change_epochs += 1
-                    logger.print_logger.info(
-                        f'Valid loss hasnt changed for {no_change_epochs} patience: {cfg.patience}'
-                    )
-                    if no_change_epochs >= cfg.patience:
-                        early_stop_triggered = True
-
-        if early_stop_triggered:
-            logger.print_logger.info(f'Training is early stopped @ {epoch}')
-            break
-
-    logger.print_logger.info('Finished Training')
-
-    # loading the best model
-    ckpt = torch.load(logger.best_model_path)
-    model.load_state_dict(ckpt['model'])
-    logger.print_logger.info(f'Loading the best model from {logger.best_model_path}')
-    logger.print_logger.info((f'The model was trained for {ckpt["epoch"]} epochs. Loss: {ckpt["loss"]:.4f}'))
-
-    # Testing the model
-    model.eval()
-    running_loss = 0
-    preds_from_each_batch = []
-    targets_from_each_batch = []
-
-    for i, batch in enumerate(loaders['test']):
-        inputs = batch['input'].to(device)
-        targets = batch['target'].to(device)
-
-        # zero the parameter gradients
-        optimizer.zero_grad()
-
-        # forward + backward + optimize
-        with torch.set_grad_enabled(False):
-            outputs = model(inputs)
-            loss = criterion(outputs, targets, to_weight=False)
-
-        # loss
-        running_loss += loss.item()
-
-        # for metrics calculation later on
-        preds_from_each_batch += [outputs.detach().cpu()]
-        targets_from_each_batch += [targets.cpu()]
-
-    # logging metrics
-    preds_from_each_batch = torch.cat(preds_from_each_batch)
-    targets_from_each_batch = torch.cat(targets_from_each_batch)
-    test_metrics_dict = metrics(targets_from_each_batch, preds_from_each_batch)
-    test_metrics_dict['avg_loss'] = running_loss / len(loaders['test'])
-    test_metrics_dict['param_num'] = param_num
-    # TODO: I have no idea why tboard doesn't keep metrics (hparams) when
-    # I run this experiment from cli: `python train_melception.py config=./configs/vggish.yaml`
-    # while when I run it in vscode debugger the metrics are logger (wtf)
-    logger.log_test_metrics(test_metrics_dict, dict(cfg), ckpt['epoch'])
-
-    logger.print_logger.info('Finished the experiment')
-
-
-if __name__ == '__main__':
-    # input = torch.rand(16, 1, 80, 848)
-    # output, aux = inception(input)
-    # print(output.shape, aux.shape)
-    # Expected input size: (3, 299, 299) in RGB -> (1, 80, 848) in Mel Spec
-    # train_inception_scorer()
-
-    cfg_cli = OmegaConf.from_cli()
-    cfg_yml = OmegaConf.load(cfg_cli.config)
-    # the latter arguments are prioritized
-    cfg = OmegaConf.merge(cfg_yml, cfg_cli)
-    OmegaConf.set_readonly(cfg, True)
-    print(OmegaConf.to_yaml(cfg))
-
-    train_inception_scorer(cfg)

spaces/AIlexDev/Einfach.Hintergrund/README.md

@@ -1,13 +0,0 @@
----
-title: Einfach.Hintergrund
-emoji: 🦀
-colorFrom: purple
-colorTo: yellow
-sdk: gradio
-sdk_version: 3.37.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/AchyuthGamer/OpenGPT-Chat-UI/.svelte-kit/generated/client/nodes/3.js

@@ -1 +0,0 @@
-export { default as component } from "../../../../src/routes/conversation/[id]/+page.svelte";

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

@@ -1,92 +0,0 @@
-from __future__ import annotations
-
-import json
-import random
-import re
-
-from aiohttp import ClientSession
-
-from .base_provider import AsyncProvider, format_prompt, get_cookies
-
-
-class Bard(AsyncProvider):
-    url = "https://bard.google.com"
-    needs_auth = True
-    working = True
-    _snlm0e = None
-
-    @classmethod
-    async def create_async(
-        cls,
-        model: str,
-        messages: list[dict[str, str]],
-        proxy: str = None,
-        cookies: dict = None,
-        **kwargs
-    ) -> str:
-        prompt = format_prompt(messages)
-        if proxy and "://" not in proxy:
-            proxy = f"http://{proxy}"
-        if not cookies:
-            cookies = get_cookies(".google.com")
-
-        headers = {
-            'authority': 'bard.google.com',
-            'origin': 'https://bard.google.com',
-            'referer': 'https://bard.google.com/',
-            'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
-            'x-same-domain': '1',
-        }
-
-        async with ClientSession(
-            cookies=cookies,
-            headers=headers
-        ) as session:
-            if not cls._snlm0e:
-                async with session.get(cls.url, proxy=proxy) as response:
-                    text = await response.text()
-
-                match = re.search(r'SNlM0e\":\"(.*?)\"', text)
-                if not match:
-                    raise RuntimeError("No snlm0e value.")
-                cls._snlm0e = match.group(1)
-            
-            params = {
-                'bl': 'boq_assistant-bard-web-server_20230326.21_p0',
-                '_reqid': random.randint(1111, 9999),
-                'rt': 'c'
-            }
-
-            data = {
-                'at': cls._snlm0e,
-                'f.req': json.dumps([None, json.dumps([[prompt]])])
-            }
-
-            intents = '.'.join([
-                'assistant',
-                'lamda',
-                'BardFrontendService'
-            ])
-
-            async with session.post(
-                f'{cls.url}/_/BardChatUi/data/{intents}/StreamGenerate',
-                data=data,
-                params=params,
-                proxy=proxy
-            ) as response:
-                response = await response.text()
-                response = json.loads(response.splitlines()[3])[0][2]
-                response = json.loads(response)[4][0][1][0]
-                return response
-
-    @classmethod
-    @property
-    def params(cls):
-        params = [
-            ("model", "str"),
-            ("messages", "list[dict[str, str]]"),
-            ("stream", "bool"),
-            ("proxy", "str"),
-        ]
-        param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.provider.{cls.__name__} supports: ({param})"

spaces/AdithyaSNair/Diabetes_analysis/app.py

@@ -1,153 +0,0 @@
-#Model start
-
-import numpy as np # linear algebra
-import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
-import matplotlib.pyplot as plt
-import gradio as gr
-from sklearn.model_selection import train_test_split
-from sklearn.linear_model import LogisticRegression
-from sklearn.metrics import accuracy_score
-from sklearn.model_selection import cross_val_score
-from sklearn.metrics import r2_score
-  
-def main(Pregnancies,Glucose_level,BP,skin_thickness,Insulin,BMI,Diabetes_Function,Age):
-
-  url="https://raw.githubusercontent.com/ADITHYASNAIR2021/Dataset-cart/main/diabetes.csv"
-  diabetes_df = pd.read_csv(url)
-  diabetes_df = diabetes_df.values
-  X= diabetes_df[:,0:8] #Predictors
-  y = diabetes_df[:,8] #Target 
-  X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=.25)
-
-  Log_reg = LogisticRegression(fit_intercept=True,C=1e15,solver='newton-cg',max_iter=300,penalty='l2',multi_class='ovr')
-  Log_reg.fit(X_train,y_train)
-  Log_pred = Log_reg.predict(X_test)
-
-  #Accuracy
-  lor_accuracy = accuracy_score(y_test,Log_pred)
-
-  #Cross Validation
-  logreg = LogisticRegression(max_iter=1500)
-  scores_Log = cross_val_score(logreg , X_train , y_train , cv=20)
-  scores_Log = scores_Log.mean()
-
-  data = {'Pregancies':Pregnancies,'Glucose':Glucose_level,'BloodPressure':BP,'SkinThickness':skin_thickness,'Insulin':Insulin,'BMI':BMI,'DiabetesPedigreeFunction':Diabetes_Function,'Age':Age}
-  index = [0]
-  cust_df = pd.DataFrame(data, index)
-  
-  # Main output prediction 
-  costpredLog = Log_reg.predict(cust_df)
-
-  #Get the patients BMI information 
-
-  if BMI == 0: 
-        Bmi_eval="NA"
-
-  elif BMI < 18.5: 
-         Bmi_eval="You are Underweight" 
-
-  elif BMI < 24.9: 
-        Bmi_eval =" You have Normal weight"
-
-  elif BMI >= 25 and BMI < 29.9: 
-        Bmi_eval = " You are Pre Obese"
-
-  elif BMI >= 30 and BMI < 34.9: 
-        Bmi_eval = " You have class 1 Obesity "
-
-  elif BMI >= 35 and BMI < 39.9: 
-        Bmi_eval = " You have class 2 Obesity "
-
-  elif BMI >= 40: 
-        Bmi_eval ="You have class 3 obesity "
-
-  else: 
-       Bmi_eval = BMI
-
-   # Get the patient's Diabetic information 
-
-  if Glucose_level == 0: 
-        Glucose_Eval ="NA"
-    
-  elif Glucose_level <= 140: 
-        Glucose_Eval="You have a Normal Glucose Level"
-    
-  elif Glucose_level > 140 and Glucose_level < 198: 
-        Glucose_Eval="you have Impaired Glucose Tolerance"
-        
-  elif Glucose_level > 198: 
-        Glucose_Eval="You have a high Glucose Level "
-        
-  else: 
-        Glucose_Eval = Glucose_level
-
- # Final prediction 
-
-  if costpredLog ==0:
-    Prediction = "There is less chance for the patient to catch diabetes"
-
-  else:
-    Prediction = "There is more chance for the patient to catch diabetes."
-
-  return  Prediction,Bmi_eval,Glucose_Eval
-
-iface = gr.Interface(fn = main,
-                     
-inputs =['number','number','number','number','number','number','number','number'],
-
-outputs =['text','text','text'],
-
-title="Onset of Diabetes prediction",
-
-examples=[[2,120,120,25,20,25,1,25],[5,200,200,50,160,30,2,30]],
-
-description ='''    Description
- 
-Some health issues are more serious than others. An example of a severe health issue is diabetes, which is an all-too-common condition
-It is essential for people with diabetes to be diagnosed and treated as soon as possible, as high blood sugar levels can damage body organs and tissue,
-resulting in complications such as nerve damage, kidney damage, heart attacks, strokes, peripheral vascular disease etc. While some risk factors of 
-developing diabetes cannot be changed, healthy lifestyle choices can dramatically reduce a person’s chances of developing it. 
-
-As we face these high numbers of diabetes and prediabetes cases, it’s important that everyone learns as much as they can about recognizing and preventing diabetes. 
-All these points emphasise that diabetes can be really bad if not diagnosed properly so, 
-with this AI tool, we can predict the onset of diabetes among people which will help them to adjust their lifestyles and other things correctly to prevent diabetes in the future.
-                     
-
-    Output0 - Describes the Prediction made
-    Output1 - Analyse BMI
-    Output2 - Analysis of Glucose level
-
-
-More details about the Inputs taken and how they needed to be taken are given below:
-    * Pregnancies (number of times pregnant)
-    * glucose - two-hour plasma glucose concentration after 75g anhydrous glucose in mg/dl (Can check using a Glucometer at home, or at a clinic)
-    * Blood Pressure (Diastolic Blood Pressure in mmHg)
-    * Skin Thickness (Triceps skin fold thickness in mm)
-    * Insulin Resistance (2 h serum insulin in mu U/ml)( Results could be obtained from a Clinic )
-    * BMI (Body Mass Index in kg/m2), BMI can be calculated using the equation  = Weight/(Height²)
-    * Age (years)
-    * Pedigree Diabetes Function ('function that represents how likely they are to get the disease by extrapolating from their ancestor’s history )
-      Generally, it's between 0 - 2.5, if there wasn't any ancestorial history of diabetes you can choose between 0 and 1, 
-      and if there is any so can select between 1 - 2.5 regarding the seriousness of the family.
-''',
-
-article=''' Website created with Gradio for Hackathon'22
-
-Dataset used is:- PIMA INDIANS DIABETES DATASET 
-
-Description of the dataset used:- The Pima Indian Diabetes Dataset, originally from the National Institute of Diabetes and Digestive and Kidney Diseases 
-contains information on 768 women from a population near Phoenix, Arizona, USA. The outcome tested was Diabetes, 258 tested positive and 500 tested negative. 
-Therefore, there is one target (dependent) variable and the following attributes (TYNECKI, 2018):
-
-To know more about the Tricep skin fold thickness measure 
-visit this link:- https://ibb.co/4NDNNx1
-
-Dataset Link - https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database
-
-Reference 1 = https://rpubs.com/ikodesh/53189
-
-Reference 2 = https://www.diabetes.co.uk/oral-glucose-tolerance-test.html 
-
-''')
-
-iface.launch(debug =True)

spaces/AgentVerse/agentVerse/agentverse/environments/simulation_env/rules/updater/pokemon.py

@@ -1,42 +0,0 @@
-from __future__ import annotations
-
-from typing import TYPE_CHECKING, List, Tuple
-import json
-from copy import deepcopy
-
-from . import updater_registry as UpdaterRegistry
-from .basic import BasicUpdater
-from agentverse.message import Message
-
-if TYPE_CHECKING:
-    from agentverse.environments import PokemonEnvironment
-
-
-@UpdaterRegistry.register("pokemon")
-class PokemonUpdater(BasicUpdater):
-    def update_memory(self, environment: PokemonEnvironment):
-        for message in environment.last_messages:
-            if message.content == "":
-                continue
-            message = deepcopy(message)
-            try:
-                message.content = json.loads(message.content)
-            except json.decoder.JSONDecodeError:
-                continue
-            if message.content["action"] == "Speak":
-                message.content = message.content["text"]
-            elif message.content["action"] == "MoveTo":
-                if message.content["to"] in environment.locations_to_agents:
-                    try:
-                        orig_location = environment.get_agent_to_location()[
-                            message.sender
-                        ]
-                        environment.locations_to_agents[orig_location].remove(
-                            message.sender
-                        )
-                    except:
-                        continue
-                message.content = f"[MoveTo] {message.content['to']}"
-            else:
-                message.content = f"[{message.content['action']}]"
-            self.add_message_to_all_agents(environment.agents, message)

spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/fixwidthsizer/FixWidthSizer.d.ts

@@ -1,124 +0,0 @@
-// import * as Phaser from 'phaser';
-import BaseSizer from '../basesizer/BaseSizer.js';
-
-export default FixWidthSizer;
-
-declare namespace FixWidthSizer {
-    type AlignTypes = 0 | 1 | 2 | 3 | 4 | 5 |
-        'left' | 'right' | 'center' | 'justify' | 'justify-left' | 'justify-right' | 'justify-center';
-
-    type PaddingTypes = number |
-    {
-        left?: number,
-        right?: number,
-        top?: number,
-        bottom?: number
-    };
-
-    interface IConfig extends BaseSizer.IConfig {
-        x?: number,
-        y?: number,
-        width?: number,
-        height?: number,
-
-        space?: {
-            left?: number, right?: number, top?: number, bottom?: number,
-
-            item?: number, line?: number,
-
-            indentLeftOdd?: number, indentLeftEven?: number,
-            indentTopOdd?: number, indentTopEven?: number,
-        },
-
-        rtl?: boolean,
-
-        align?: AlignTypes;
-    }
-}
-
-declare class FixWidthSizer extends BaseSizer {
-    sizerChildren: Phaser.GameObjects.GameObject[];
-
-    constructor(
-        scene: Phaser.Scene,
-        config?: FixWidthSizer.IConfig
-    );
-
-    constructor(
-        scene: Phaser.Scene,
-        x: number, y: number,
-        config?: FixWidthSizer.IConfig
-    );
-
-    constructor(
-        scene: Phaser.Scene,
-        x: number, y: number,
-        width: number, height: number,
-        config?: FixWidthSizer.IConfig
-    );
-
-    add(
-        gameObject: Phaser.GameObjects.GameObject,
-        config?: {
-            padding?: FixWidthSizer.PaddingTypes,
-            key?: string,
-            index?: number,
-        }
-    ): this;
-
-    add(
-        gameObject: Phaser.GameObjects.GameObject,
-        padding?: FixWidthSizer.PaddingTypes,
-        key?: string,
-        index?: number
-    ): this;
-
-    insert(
-        index: number,
-        gameObject: Phaser.GameObjects.GameObject,
-        config?: {
-            padding?: FixWidthSizer.PaddingTypes,
-            key?: string,
-        }
-    ): this;
-
-    insert(
-        index: number,
-        gameObject: Phaser.GameObjects.GameObject,
-        paddingConfig?: FixWidthSizer.PaddingTypes,
-        key?: string
-    ): this;
-
-    insertAtPosition(
-        x: number,
-        y: number,
-        gameObject: Phaser.GameObjects.GameObject,
-        config?: {
-            padding?: FixWidthSizer.PaddingTypes,
-            key?: string,
-        }
-    ): this;
-
-    insertAtPosition(
-        x: number,
-        y: number,
-        gameObject: Phaser.GameObjects.GameObject,
-        paddingConfig?: FixWidthSizer.PaddingTypes,
-        key?: string
-    ): this;
-
-    addNewLine(): this;
-
-    remove(
-        gameObject: Phaser.GameObjects.GameObject,
-        destroyChild?: boolean
-    ): this;
-
-    removeAll(
-        destroyChild?: boolean
-    ): this;
-
-    clear(
-        destroyChild?: boolean
-    ): this;
-}

spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/gridsizer/ResolveWidth.js

@@ -1,24 +0,0 @@
-import ResolveWidthBase from '../basesizer/ResolveWidth.js';
-
-var ResolveWidth = function (width) {
-    var width = ResolveWidthBase.call(this, width);
-
-    // Get proportionLength
-    if (this.proportionWidthLength === undefined) {
-        var totalColumnProportions = this.totalColumnProportions;
-        if (totalColumnProportions > 0) {
-            var remainder = width - this.getChildrenWidth(false);
-            if (remainder >= 0) {
-                this.proportionWidthLength = remainder / totalColumnProportions;
-            } else {
-                // Warning
-            }
-        } else {
-            this.proportionWidthLength = 0;
-        }
-    }
-
-    return width;
-}
-
-export default ResolveWidth;

spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/maker/builders/CreateSlider.js

@@ -1,19 +0,0 @@
-import MergeStyle from './utils/MergeStyle.js';
-import Slider from '../../slider/Slider.js';
-import CreateChild from './utils/CreateChild.js';
-
-var CreateSlider = function (scene, data, view, styles, customBuilders) {
-    data = MergeStyle(data, styles);
-
-    // Replace data by child game object
-    CreateChild(scene, data, 'background', view, styles, customBuilders);
-    CreateChild(scene, data, 'track', view, styles, customBuilders);
-    CreateChild(scene, data, 'indicator', view, styles, customBuilders);
-    CreateChild(scene, data, 'thumb', view, styles, customBuilders);
-
-    var gameObject = new Slider(scene, data);
-    scene.add.existing(gameObject);
-    return gameObject;
-};
-
-export default CreateSlider;

spaces/AlexKozachuk/anything-v3.0/app.py

@@ -1,9 +0,0 @@
-import gradio as gr
-
-description = """<div>
-                <img src="https://i.imgur.com/FEA7N1p.png">
-              </div>
-             """
-
-gr.Interface.load("models/Linaqruf/anything-v3.0", description=description).launch()
-

spaces/Alexpro1213/WizardLM-WizardCoder-Python-34B-V1.0/README.md

@@ -1,12 +0,0 @@
----
-title: WizardLM WizardCoder Python 34B V1.0
-emoji: 🚀
-colorFrom: pink
-colorTo: red
-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/Aloento/9Nine-VITS/stochastic_duration_predictor.py

@@ -1,88 +0,0 @@
-import math
-
-import torch
-from torch import nn
-from torch.nn import functional as F
-
-import modules
-
-
-class StochasticDurationPredictor(nn.Module):
-  def __init__(self, in_channels, filter_channels, kernel_size, p_dropout, n_flows=4, gin_channels=0):
-    super().__init__()
-    filter_channels = in_channels  # it needs to be removed from future version.
-    self.in_channels = in_channels
-    self.filter_channels = filter_channels
-    self.kernel_size = kernel_size
-    self.p_dropout = p_dropout
-    self.n_flows = n_flows
-    self.gin_channels = gin_channels
-
-    self.log_flow = modules.Log()
-    self.flows = nn.ModuleList()
-    self.flows.append(modules.ElementwiseAffine(2))
-    for i in range(n_flows):
-      self.flows.append(modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3))
-      self.flows.append(modules.Flip())
-
-    self.post_pre = nn.Conv1d(1, filter_channels, 1)
-    self.post_proj = nn.Conv1d(filter_channels, filter_channels, 1)
-    self.post_convs = modules.DDSConv(filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout)
-    self.post_flows = nn.ModuleList()
-    self.post_flows.append(modules.ElementwiseAffine(2))
-    for i in range(4):
-      self.post_flows.append(modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3))
-      self.post_flows.append(modules.Flip())
-
-    self.pre = nn.Conv1d(in_channels, filter_channels, 1)
-    self.proj = nn.Conv1d(filter_channels, filter_channels, 1)
-    self.convs = modules.DDSConv(filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout)
-    if gin_channels != 0:
-      self.cond = nn.Conv1d(gin_channels, filter_channels, 1)
-
-  def forward(self, x, x_mask, w=None, g=None, reverse=False, noise_scale=1.0):
-    x = torch.detach(x)
-    x = self.pre(x)
-    if g is not None:
-      g = torch.detach(g)
-      x = x + self.cond(g)
-    x = self.convs(x, x_mask)
-    x = self.proj(x) * x_mask
-
-    if not reverse:
-      flows = self.flows
-      assert w is not None
-
-      logdet_tot_q = 0
-      h_w = self.post_pre(w)
-      h_w = self.post_convs(h_w, x_mask)
-      h_w = self.post_proj(h_w) * x_mask
-      e_q = torch.randn(w.size(0), 2, w.size(2)).to(device=x.device, dtype=x.dtype) * x_mask
-      z_q = e_q
-      for flow in self.post_flows:
-        z_q, logdet_q = flow(z_q, x_mask, g=(x + h_w))
-        logdet_tot_q += logdet_q
-      z_u, z1 = torch.split(z_q, [1, 1], 1)
-      u = torch.sigmoid(z_u) * x_mask
-      z0 = (w - u) * x_mask
-      logdet_tot_q += torch.sum((F.logsigmoid(z_u) + F.logsigmoid(-z_u)) * x_mask, [1, 2])
-      logq = torch.sum(-0.5 * (math.log(2 * math.pi) + (e_q ** 2)) * x_mask, [1, 2]) - logdet_tot_q
-
-      logdet_tot = 0
-      z0, logdet = self.log_flow(z0, x_mask)
-      logdet_tot += logdet
-      z = torch.cat([z0, z1], 1)
-      for flow in flows:
-        z, logdet = flow(z, x_mask, g=x, reverse=reverse)
-        logdet_tot = logdet_tot + logdet
-      nll = torch.sum(0.5 * (math.log(2 * math.pi) + (z ** 2)) * x_mask, [1, 2]) - logdet_tot
-      return nll + logq  # [b]
-    else:
-      flows = list(reversed(self.flows))
-      flows = flows[:-2] + [flows[-1]]  # remove a useless vflow
-      z = torch.randn(x.size(0), 2, x.size(2)).to(device=x.device, dtype=x.dtype) * noise_scale
-      for flow in flows:
-        z = flow(z, x_mask, g=x, reverse=reverse)
-      z0, z1 = torch.split(z, [1, 1], 1)
-      logw = z0
-      return logw

spaces/Alpaca233/SadTalker/src/utils/preprocess.py

@@ -1,170 +0,0 @@
-import numpy as np
-import cv2, os, sys, torch
-from tqdm import tqdm
-from PIL import Image 
-
-# 3dmm extraction
-import safetensors
-import safetensors.torch 
-from src.face3d.util.preprocess import align_img
-from src.face3d.util.load_mats import load_lm3d
-from src.face3d.models import networks
-
-from scipy.io import loadmat, savemat
-from src.utils.croper import Preprocesser
-
-
-import warnings
-
-from src.utils.safetensor_helper import load_x_from_safetensor 
-warnings.filterwarnings("ignore")
-
-def split_coeff(coeffs):
-        """
-        Return:
-            coeffs_dict     -- a dict of torch.tensors
-
-        Parameters:
-            coeffs          -- torch.tensor, size (B, 256)
-        """
-        id_coeffs = coeffs[:, :80]
-        exp_coeffs = coeffs[:, 80: 144]
-        tex_coeffs = coeffs[:, 144: 224]
-        angles = coeffs[:, 224: 227]
-        gammas = coeffs[:, 227: 254]
-        translations = coeffs[:, 254:]
-        return {
-            'id': id_coeffs,
-            'exp': exp_coeffs,
-            'tex': tex_coeffs,
-            'angle': angles,
-            'gamma': gammas,
-            'trans': translations
-        }
-
-
-class CropAndExtract():
-    def __init__(self, sadtalker_path, device):
-
-        self.propress = Preprocesser(device)
-        self.net_recon = networks.define_net_recon(net_recon='resnet50', use_last_fc=False, init_path='').to(device)
-        
-        if sadtalker_path['use_safetensor']:
-            checkpoint = safetensors.torch.load_file(sadtalker_path['checkpoint'])    
-            self.net_recon.load_state_dict(load_x_from_safetensor(checkpoint, 'face_3drecon'))
-        else:
-            checkpoint = torch.load(sadtalker_path['path_of_net_recon_model'], map_location=torch.device(device))    
-            self.net_recon.load_state_dict(checkpoint['net_recon'])
-
-        self.net_recon.eval()
-        self.lm3d_std = load_lm3d(sadtalker_path['dir_of_BFM_fitting'])
-        self.device = device
-    
-    def generate(self, input_path, save_dir, crop_or_resize='crop', source_image_flag=False, pic_size=256):
-
-        pic_name = os.path.splitext(os.path.split(input_path)[-1])[0]  
-
-        landmarks_path =  os.path.join(save_dir, pic_name+'_landmarks.txt') 
-        coeff_path =  os.path.join(save_dir, pic_name+'.mat')  
-        png_path =  os.path.join(save_dir, pic_name+'.png')  
-
-        #load input
-        if not os.path.isfile(input_path):
-            raise ValueError('input_path must be a valid path to video/image file')
-        elif input_path.split('.')[-1] in ['jpg', 'png', 'jpeg']:
-            # loader for first frame
-            full_frames = [cv2.imread(input_path)]
-            fps = 25
-        else:
-            # loader for videos
-            video_stream = cv2.VideoCapture(input_path)
-            fps = video_stream.get(cv2.CAP_PROP_FPS)
-            full_frames = [] 
-            while 1:
-                still_reading, frame = video_stream.read()
-                if not still_reading:
-                    video_stream.release()
-                    break 
-                full_frames.append(frame) 
-                if source_image_flag:
-                    break
-
-        x_full_frames= [cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)  for frame in full_frames] 
-
-        #### crop images as the 
-        if 'crop' in crop_or_resize.lower(): # default crop
-            x_full_frames, crop, quad = self.propress.crop(x_full_frames, still=True if 'ext' in crop_or_resize.lower() else False, xsize=512)
-            clx, cly, crx, cry = crop
-            lx, ly, rx, ry = quad
-            lx, ly, rx, ry = int(lx), int(ly), int(rx), int(ry)
-            oy1, oy2, ox1, ox2 = cly+ly, cly+ry, clx+lx, clx+rx
-            crop_info = ((ox2 - ox1, oy2 - oy1), crop, quad)
-        elif 'full' in crop_or_resize.lower():
-            x_full_frames, crop, quad = self.propress.crop(x_full_frames, still=True if 'ext' in crop_or_resize.lower() else False, xsize=512)
-            clx, cly, crx, cry = crop
-            lx, ly, rx, ry = quad
-            lx, ly, rx, ry = int(lx), int(ly), int(rx), int(ry)
-            oy1, oy2, ox1, ox2 = cly+ly, cly+ry, clx+lx, clx+rx
-            crop_info = ((ox2 - ox1, oy2 - oy1), crop, quad)
-        else: # resize mode
-            oy1, oy2, ox1, ox2 = 0, x_full_frames[0].shape[0], 0, x_full_frames[0].shape[1] 
-            crop_info = ((ox2 - ox1, oy2 - oy1), None, None)
-
-        frames_pil = [Image.fromarray(cv2.resize(frame,(pic_size, pic_size))) for frame in x_full_frames]
-        if len(frames_pil) == 0:
-            print('No face is detected in the input file')
-            return None, None
-
-        # save crop info
-        for frame in frames_pil:
-            cv2.imwrite(png_path, cv2.cvtColor(np.array(frame), cv2.COLOR_RGB2BGR))
-
-        # 2. get the landmark according to the detected face. 
-        if not os.path.isfile(landmarks_path): 
-            lm = self.propress.predictor.extract_keypoint(frames_pil, landmarks_path)
-        else:
-            print(' Using saved landmarks.')
-            lm = np.loadtxt(landmarks_path).astype(np.float32)
-            lm = lm.reshape([len(x_full_frames), -1, 2])
-
-        if not os.path.isfile(coeff_path):
-            # load 3dmm paramter generator from Deep3DFaceRecon_pytorch 
-            video_coeffs, full_coeffs = [],  []
-            for idx in tqdm(range(len(frames_pil)), desc='3DMM Extraction In Video:'):
-                frame = frames_pil[idx]
-                W,H = frame.size
-                lm1 = lm[idx].reshape([-1, 2])
-            
-                if np.mean(lm1) == -1:
-                    lm1 = (self.lm3d_std[:, :2]+1)/2.
-                    lm1 = np.concatenate(
-                        [lm1[:, :1]*W, lm1[:, 1:2]*H], 1
-                    )
-                else:
-                    lm1[:, -1] = H - 1 - lm1[:, -1]
-
-                trans_params, im1, lm1, _ = align_img(frame, lm1, self.lm3d_std)
- 
-                trans_params = np.array([float(item) for item in np.hsplit(trans_params, 5)]).astype(np.float32)
-                im_t = torch.tensor(np.array(im1)/255., dtype=torch.float32).permute(2, 0, 1).to(self.device).unsqueeze(0)
-                
-                with torch.no_grad():
-                    full_coeff = self.net_recon(im_t)
-                    coeffs = split_coeff(full_coeff)
-
-                pred_coeff = {key:coeffs[key].cpu().numpy() for key in coeffs}
- 
-                pred_coeff = np.concatenate([
-                    pred_coeff['exp'], 
-                    pred_coeff['angle'],
-                    pred_coeff['trans'],
-                    trans_params[2:][None],
-                    ], 1)
-                video_coeffs.append(pred_coeff)
-                full_coeffs.append(full_coeff.cpu().numpy())
-
-            semantic_npy = np.array(video_coeffs)[:,0] 
-
-            savemat(coeff_path, {'coeff_3dmm': semantic_npy, 'full_3dmm': np.array(full_coeffs)[0]})
-
-        return coeff_path, png_path, crop_info

spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/src/diffusers/pipelines/deepfloyd_if/timesteps.py

@@ -1,579 +0,0 @@
-fast27_timesteps = [
-    999,
-    800,
-    799,
-    600,
-    599,
-    500,
-    400,
-    399,
-    377,
-    355,
-    333,
-    311,
-    288,
-    266,
-    244,
-    222,
-    200,
-    199,
-    177,
-    155,
-    133,
-    111,
-    88,
-    66,
-    44,
-    22,
-    0,
-]
-
-smart27_timesteps = [
-    999,
-    976,
-    952,
-    928,
-    905,
-    882,
-    858,
-    857,
-    810,
-    762,
-    715,
-    714,
-    572,
-    429,
-    428,
-    286,
-    285,
-    238,
-    190,
-    143,
-    142,
-    118,
-    95,
-    71,
-    47,
-    24,
-    0,
-]
-
-smart50_timesteps = [
-    999,
-    988,
-    977,
-    966,
-    955,
-    944,
-    933,
-    922,
-    911,
-    900,
-    899,
-    879,
-    859,
-    840,
-    820,
-    800,
-    799,
-    766,
-    733,
-    700,
-    699,
-    650,
-    600,
-    599,
-    500,
-    499,
-    400,
-    399,
-    350,
-    300,
-    299,
-    266,
-    233,
-    200,
-    199,
-    179,
-    159,
-    140,
-    120,
-    100,
-    99,
-    88,
-    77,
-    66,
-    55,
-    44,
-    33,
-    22,
-    11,
-    0,
-]
-
-smart100_timesteps = [
-    999,
-    995,
-    992,
-    989,
-    985,
-    981,
-    978,
-    975,
-    971,
-    967,
-    964,
-    961,
-    957,
-    956,
-    951,
-    947,
-    942,
-    937,
-    933,
-    928,
-    923,
-    919,
-    914,
-    913,
-    908,
-    903,
-    897,
-    892,
-    887,
-    881,
-    876,
-    871,
-    870,
-    864,
-    858,
-    852,
-    846,
-    840,
-    834,
-    828,
-    827,
-    820,
-    813,
-    806,
-    799,
-    792,
-    785,
-    784,
-    777,
-    770,
-    763,
-    756,
-    749,
-    742,
-    741,
-    733,
-    724,
-    716,
-    707,
-    699,
-    698,
-    688,
-    677,
-    666,
-    656,
-    655,
-    645,
-    634,
-    623,
-    613,
-    612,
-    598,
-    584,
-    570,
-    569,
-    555,
-    541,
-    527,
-    526,
-    505,
-    484,
-    483,
-    462,
-    440,
-    439,
-    396,
-    395,
-    352,
-    351,
-    308,
-    307,
-    264,
-    263,
-    220,
-    219,
-    176,
-    132,
-    88,
-    44,
-    0,
-]
-
-smart185_timesteps = [
-    999,
-    997,
-    995,
-    992,
-    990,
-    988,
-    986,
-    984,
-    981,
-    979,
-    977,
-    975,
-    972,
-    970,
-    968,
-    966,
-    964,
-    961,
-    959,
-    957,
-    956,
-    954,
-    951,
-    949,
-    946,
-    944,
-    941,
-    939,
-    936,
-    934,
-    931,
-    929,
-    926,
-    924,
-    921,
-    919,
-    916,
-    914,
-    913,
-    910,
-    907,
-    905,
-    902,
-    899,
-    896,
-    893,
-    891,
-    888,
-    885,
-    882,
-    879,
-    877,
-    874,
-    871,
-    870,
-    867,
-    864,
-    861,
-    858,
-    855,
-    852,
-    849,
-    846,
-    843,
-    840,
-    837,
-    834,
-    831,
-    828,
-    827,
-    824,
-    821,
-    817,
-    814,
-    811,
-    808,
-    804,
-    801,
-    798,
-    795,
-    791,
-    788,
-    785,
-    784,
-    780,
-    777,
-    774,
-    770,
-    766,
-    763,
-    760,
-    756,
-    752,
-    749,
-    746,
-    742,
-    741,
-    737,
-    733,
-    730,
-    726,
-    722,
-    718,
-    714,
-    710,
-    707,
-    703,
-    699,
-    698,
-    694,
-    690,
-    685,
-    681,
-    677,
-    673,
-    669,
-    664,
-    660,
-    656,
-    655,
-    650,
-    646,
-    641,
-    636,
-    632,
-    627,
-    622,
-    618,
-    613,
-    612,
-    607,
-    602,
-    596,
-    591,
-    586,
-    580,
-    575,
-    570,
-    569,
-    563,
-    557,
-    551,
-    545,
-    539,
-    533,
-    527,
-    526,
-    519,
-    512,
-    505,
-    498,
-    491,
-    484,
-    483,
-    474,
-    466,
-    457,
-    449,
-    440,
-    439,
-    428,
-    418,
-    407,
-    396,
-    395,
-    381,
-    366,
-    352,
-    351,
-    330,
-    308,
-    307,
-    286,
-    264,
-    263,
-    242,
-    220,
-    219,
-    176,
-    175,
-    132,
-    131,
-    88,
-    44,
-    0,
-]
-
-super27_timesteps = [
-    999,
-    991,
-    982,
-    974,
-    966,
-    958,
-    950,
-    941,
-    933,
-    925,
-    916,
-    908,
-    900,
-    899,
-    874,
-    850,
-    825,
-    800,
-    799,
-    700,
-    600,
-    500,
-    400,
-    300,
-    200,
-    100,
-    0,
-]
-
-super40_timesteps = [
-    999,
-    992,
-    985,
-    978,
-    971,
-    964,
-    957,
-    949,
-    942,
-    935,
-    928,
-    921,
-    914,
-    907,
-    900,
-    899,
-    879,
-    859,
-    840,
-    820,
-    800,
-    799,
-    766,
-    733,
-    700,
-    699,
-    650,
-    600,
-    599,
-    500,
-    499,
-    400,
-    399,
-    300,
-    299,
-    200,
-    199,
-    100,
-    99,
-    0,
-]
-
-super100_timesteps = [
-    999,
-    996,
-    992,
-    989,
-    985,
-    982,
-    979,
-    975,
-    972,
-    968,
-    965,
-    961,
-    958,
-    955,
-    951,
-    948,
-    944,
-    941,
-    938,
-    934,
-    931,
-    927,
-    924,
-    920,
-    917,
-    914,
-    910,
-    907,
-    903,
-    900,
-    899,
-    891,
-    884,
-    876,
-    869,
-    861,
-    853,
-    846,
-    838,
-    830,
-    823,
-    815,
-    808,
-    800,
-    799,
-    788,
-    777,
-    766,
-    755,
-    744,
-    733,
-    722,
-    711,
-    700,
-    699,
-    688,
-    677,
-    666,
-    655,
-    644,
-    633,
-    622,
-    611,
-    600,
-    599,
-    585,
-    571,
-    557,
-    542,
-    528,
-    514,
-    500,
-    499,
-    485,
-    471,
-    457,
-    442,
-    428,
-    414,
-    400,
-    399,
-    379,
-    359,
-    340,
-    320,
-    300,
-    299,
-    279,
-    259,
-    240,
-    220,
-    200,
-    199,
-    166,
-    133,
-    100,
-    99,
-    66,
-    33,
-    0,
-]

spaces/Andyrasika/distilbert-base-uncased-finetuned-emotion/README.md

@@ -1,12 +0,0 @@
----
-title: Distilbert Base Uncased Finetuned Emotion
-emoji: 📊
-colorFrom: gray
-colorTo: pink
-sdk: gradio
-sdk_version: 3.37.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/AngoHF/ANGO-Leaderboard/components/detail.py

@@ -1,85 +0,0 @@
-import json
-import os
-
-import gradio as gr
-import plotly.graph_objects as go
-
-from assets.constant import DELIMITER
-from assets.path import SEASON
-
-DEEPEST = 4
-
-
-def build_plot(category_result, columns):
-    k_x, k_y, k_text, k_color = [], [], [], []
-    d_xy = {}
-    for c in columns:
-        k_x.append(c.split(DELIMITER)[-1])
-        result = category_result.get(c)
-        k_y.append(round(result.get("acc"), 4))
-        sub_count = sum([1 for k in category_result if k.startswith(c)]) - 1
-        k_text.append(
-            f'hit:{result.get("hit")} sub_count:{sub_count}')
-        for d, v in result['difficulty'].items():
-            if d not in d_xy:
-                d_xy[d] = {"hit": 0, "all": 0}
-            d_xy[d]['hit'] += v['hit']
-            d_xy[d]['all'] += v['all']
-        k_color.append(result.get("all"))
-    d_x = sorted(d_xy, reverse=True)
-    d_y, d_text, d_color = [], [], []
-    for d in d_x:
-        v = d_xy[d]
-        d_y.append(v['hit'] / v['all'])
-        d_text.append(f'hit/total:{v["hit"]}/{v["all"]}')
-        d_color.append(v['all'])
-
-    k_fig = go.Figure([go.Bar(x=k_x, y=k_y, hovertext=k_text, marker={"color": k_color, "colorscale": "Viridis",
-                                                                      "colorbar": {"title": "Total"}})])
-    k_fig.update_layout(yaxis=dict(range=[0, 1]))
-    d_fig = go.Figure([go.Bar(x=d_x, y=d_y, hovertext=d_text,
-                              marker={"color": d_color, "colorscale": "Cividis", "colorbar": {"title": "Total"}})])
-    d_fig.update_layout(yaxis=dict(range=[0, 1]))
-    return k_fig, d_fig, k_x
-
-
-def create_detail(top_components):
-    models = os.listdir(os.path.join("results", SEASON["latest"], "details"))
-    model_dropdown = gr.Dropdown(choices=models, label="Select Model")
-
-    category_result = gr.State()
-    with gr.Row():
-        keypoint_dropdowns = [gr.Dropdown([], visible=False, label=f"Level{i + 1}") for i in range(DEEPEST)]
-    keypoint_plot = gr.Plot(label="Keypoint Acc")
-    difficulty_plot = gr.Plot(label="Difficulty Acc")
-
-    for i in range(DEEPEST):
-        keypoint_dropdown = keypoint_dropdowns[i]
-
-        def keypoint_dropdown_func(x, *args):
-            keypoints = DELIMITER.join(args)
-            columns = [k for k in x if k.startswith(keypoints) and k.count(DELIMITER) == len(args)]
-            sub = True
-            if not columns:
-                columns = [keypoints]
-                sub = False
-            k_fig, d_fig, choices = build_plot(x, columns)
-            updates = list(args) + [gr.update(choices=choices, visible=sub)] + [
-                gr.update(choices=[], visible=False)] * (DEEPEST - len(args) - 1)
-            return gr.update(value=k_fig), gr.update(value=d_fig), *updates
-
-        keypoint_dropdown.input(keypoint_dropdown_func, [category_result, *keypoint_dropdowns[:i + 1]],
-                                [keypoint_plot, difficulty_plot, *keypoint_dropdowns])
-
-    def model_dropdown_func(x):
-        dir = os.path.join("results", SEASON["latest"], "details", x)
-        new_category_result = json.load(open(os.path.join(dir, "category_result.json"), encoding="utf-8"))
-        columns = sorted([k for k in new_category_result if k.count(DELIMITER) == 0],
-                         key=lambda c: new_category_result[c]['all'], reverse=True)
-        k_fig, d_fig, choices = build_plot(new_category_result, columns)
-        return new_category_result, gr.update(value=k_fig), gr.update(value=d_fig), gr.update(choices=choices,
-                                                                                              visible=True), *[
-            gr.update(value=None, visible=False) for _ in range(DEEPEST - 1)]
-
-    model_dropdown.change(model_dropdown_func, model_dropdown, [category_result, keypoint_plot, difficulty_plot,
-                                                                *keypoint_dropdowns])

spaces/ArkanDash/rvc-models-new/lib/infer_pack/modules.py

@@ -1,522 +0,0 @@
-import copy
-import math
-import numpy as np
-import scipy
-import torch
-from torch import nn
-from torch.nn import functional as F
-
-from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
-from torch.nn.utils import weight_norm, remove_weight_norm
-
-from lib.infer_pack import commons
-from lib.infer_pack.commons import init_weights, get_padding
-from lib.infer_pack.transforms import piecewise_rational_quadratic_transform
-
-
-LRELU_SLOPE = 0.1
-
-
-class LayerNorm(nn.Module):
-    def __init__(self, channels, eps=1e-5):
-        super().__init__()
-        self.channels = channels
-        self.eps = eps
-
-        self.gamma = nn.Parameter(torch.ones(channels))
-        self.beta = nn.Parameter(torch.zeros(channels))
-
-    def forward(self, x):
-        x = x.transpose(1, -1)
-        x = F.layer_norm(x, (self.channels,), self.gamma, self.beta, self.eps)
-        return x.transpose(1, -1)
-
-
-class ConvReluNorm(nn.Module):
-    def __init__(
-        self,
-        in_channels,
-        hidden_channels,
-        out_channels,
-        kernel_size,
-        n_layers,
-        p_dropout,
-    ):
-        super().__init__()
-        self.in_channels = in_channels
-        self.hidden_channels = hidden_channels
-        self.out_channels = out_channels
-        self.kernel_size = kernel_size
-        self.n_layers = n_layers
-        self.p_dropout = p_dropout
-        assert n_layers > 1, "Number of layers should be larger than 0."
-
-        self.conv_layers = nn.ModuleList()
-        self.norm_layers = nn.ModuleList()
-        self.conv_layers.append(
-            nn.Conv1d(
-                in_channels, hidden_channels, kernel_size, padding=kernel_size // 2
-            )
-        )
-        self.norm_layers.append(LayerNorm(hidden_channels))
-        self.relu_drop = nn.Sequential(nn.ReLU(), nn.Dropout(p_dropout))
-        for _ in range(n_layers - 1):
-            self.conv_layers.append(
-                nn.Conv1d(
-                    hidden_channels,
-                    hidden_channels,
-                    kernel_size,
-                    padding=kernel_size // 2,
-                )
-            )
-            self.norm_layers.append(LayerNorm(hidden_channels))
-        self.proj = nn.Conv1d(hidden_channels, out_channels, 1)
-        self.proj.weight.data.zero_()
-        self.proj.bias.data.zero_()
-
-    def forward(self, x, x_mask):
-        x_org = x
-        for i in range(self.n_layers):
-            x = self.conv_layers[i](x * x_mask)
-            x = self.norm_layers[i](x)
-            x = self.relu_drop(x)
-        x = x_org + self.proj(x)
-        return x * x_mask
-
-
-class DDSConv(nn.Module):
-    """
-    Dialted and Depth-Separable Convolution
-    """
-
-    def __init__(self, channels, kernel_size, n_layers, p_dropout=0.0):
-        super().__init__()
-        self.channels = channels
-        self.kernel_size = kernel_size
-        self.n_layers = n_layers
-        self.p_dropout = p_dropout
-
-        self.drop = nn.Dropout(p_dropout)
-        self.convs_sep = nn.ModuleList()
-        self.convs_1x1 = nn.ModuleList()
-        self.norms_1 = nn.ModuleList()
-        self.norms_2 = nn.ModuleList()
-        for i in range(n_layers):
-            dilation = kernel_size**i
-            padding = (kernel_size * dilation - dilation) // 2
-            self.convs_sep.append(
-                nn.Conv1d(
-                    channels,
-                    channels,
-                    kernel_size,
-                    groups=channels,
-                    dilation=dilation,
-                    padding=padding,
-                )
-            )
-            self.convs_1x1.append(nn.Conv1d(channels, channels, 1))
-            self.norms_1.append(LayerNorm(channels))
-            self.norms_2.append(LayerNorm(channels))
-
-    def forward(self, x, x_mask, g=None):
-        if g is not None:
-            x = x + g
-        for i in range(self.n_layers):
-            y = self.convs_sep[i](x * x_mask)
-            y = self.norms_1[i](y)
-            y = F.gelu(y)
-            y = self.convs_1x1[i](y)
-            y = self.norms_2[i](y)
-            y = F.gelu(y)
-            y = self.drop(y)
-            x = x + y
-        return x * x_mask
-
-
-class WN(torch.nn.Module):
-    def __init__(
-        self,
-        hidden_channels,
-        kernel_size,
-        dilation_rate,
-        n_layers,
-        gin_channels=0,
-        p_dropout=0,
-    ):
-        super(WN, self).__init__()
-        assert kernel_size % 2 == 1
-        self.hidden_channels = hidden_channels
-        self.kernel_size = (kernel_size,)
-        self.dilation_rate = dilation_rate
-        self.n_layers = n_layers
-        self.gin_channels = gin_channels
-        self.p_dropout = p_dropout
-
-        self.in_layers = torch.nn.ModuleList()
-        self.res_skip_layers = torch.nn.ModuleList()
-        self.drop = nn.Dropout(p_dropout)
-
-        if gin_channels != 0:
-            cond_layer = torch.nn.Conv1d(
-                gin_channels, 2 * hidden_channels * n_layers, 1
-            )
-            self.cond_layer = torch.nn.utils.weight_norm(cond_layer, name="weight")
-
-        for i in range(n_layers):
-            dilation = dilation_rate**i
-            padding = int((kernel_size * dilation - dilation) / 2)
-            in_layer = torch.nn.Conv1d(
-                hidden_channels,
-                2 * hidden_channels,
-                kernel_size,
-                dilation=dilation,
-                padding=padding,
-            )
-            in_layer = torch.nn.utils.weight_norm(in_layer, name="weight")
-            self.in_layers.append(in_layer)
-
-            # last one is not necessary
-            if i < n_layers - 1:
-                res_skip_channels = 2 * hidden_channels
-            else:
-                res_skip_channels = hidden_channels
-
-            res_skip_layer = torch.nn.Conv1d(hidden_channels, res_skip_channels, 1)
-            res_skip_layer = torch.nn.utils.weight_norm(res_skip_layer, name="weight")
-            self.res_skip_layers.append(res_skip_layer)
-
-    def forward(self, x, x_mask, g=None, **kwargs):
-        output = torch.zeros_like(x)
-        n_channels_tensor = torch.IntTensor([self.hidden_channels])
-
-        if g is not None:
-            g = self.cond_layer(g)
-
-        for i in range(self.n_layers):
-            x_in = self.in_layers[i](x)
-            if g is not None:
-                cond_offset = i * 2 * self.hidden_channels
-                g_l = g[:, cond_offset : cond_offset + 2 * self.hidden_channels, :]
-            else:
-                g_l = torch.zeros_like(x_in)
-
-            acts = commons.fused_add_tanh_sigmoid_multiply(x_in, g_l, n_channels_tensor)
-            acts = self.drop(acts)
-
-            res_skip_acts = self.res_skip_layers[i](acts)
-            if i < self.n_layers - 1:
-                res_acts = res_skip_acts[:, : self.hidden_channels, :]
-                x = (x + res_acts) * x_mask
-                output = output + res_skip_acts[:, self.hidden_channels :, :]
-            else:
-                output = output + res_skip_acts
-        return output * x_mask
-
-    def remove_weight_norm(self):
-        if self.gin_channels != 0:
-            torch.nn.utils.remove_weight_norm(self.cond_layer)
-        for l in self.in_layers:
-            torch.nn.utils.remove_weight_norm(l)
-        for l in self.res_skip_layers:
-            torch.nn.utils.remove_weight_norm(l)
-
-
-class ResBlock1(torch.nn.Module):
-    def __init__(self, channels, kernel_size=3, dilation=(1, 3, 5)):
-        super(ResBlock1, self).__init__()
-        self.convs1 = nn.ModuleList(
-            [
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=dilation[0],
-                        padding=get_padding(kernel_size, dilation[0]),
-                    )
-                ),
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=dilation[1],
-                        padding=get_padding(kernel_size, dilation[1]),
-                    )
-                ),
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=dilation[2],
-                        padding=get_padding(kernel_size, dilation[2]),
-                    )
-                ),
-            ]
-        )
-        self.convs1.apply(init_weights)
-
-        self.convs2 = nn.ModuleList(
-            [
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=1,
-                        padding=get_padding(kernel_size, 1),
-                    )
-                ),
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=1,
-                        padding=get_padding(kernel_size, 1),
-                    )
-                ),
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=1,
-                        padding=get_padding(kernel_size, 1),
-                    )
-                ),
-            ]
-        )
-        self.convs2.apply(init_weights)
-
-    def forward(self, x, x_mask=None):
-        for c1, c2 in zip(self.convs1, self.convs2):
-            xt = F.leaky_relu(x, LRELU_SLOPE)
-            if x_mask is not None:
-                xt = xt * x_mask
-            xt = c1(xt)
-            xt = F.leaky_relu(xt, LRELU_SLOPE)
-            if x_mask is not None:
-                xt = xt * x_mask
-            xt = c2(xt)
-            x = xt + x
-        if x_mask is not None:
-            x = x * x_mask
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.convs1:
-            remove_weight_norm(l)
-        for l in self.convs2:
-            remove_weight_norm(l)
-
-
-class ResBlock2(torch.nn.Module):
-    def __init__(self, channels, kernel_size=3, dilation=(1, 3)):
-        super(ResBlock2, self).__init__()
-        self.convs = nn.ModuleList(
-            [
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=dilation[0],
-                        padding=get_padding(kernel_size, dilation[0]),
-                    )
-                ),
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=dilation[1],
-                        padding=get_padding(kernel_size, dilation[1]),
-                    )
-                ),
-            ]
-        )
-        self.convs.apply(init_weights)
-
-    def forward(self, x, x_mask=None):
-        for c in self.convs:
-            xt = F.leaky_relu(x, LRELU_SLOPE)
-            if x_mask is not None:
-                xt = xt * x_mask
-            xt = c(xt)
-            x = xt + x
-        if x_mask is not None:
-            x = x * x_mask
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.convs:
-            remove_weight_norm(l)
-
-
-class Log(nn.Module):
-    def forward(self, x, x_mask, reverse=False, **kwargs):
-        if not reverse:
-            y = torch.log(torch.clamp_min(x, 1e-5)) * x_mask
-            logdet = torch.sum(-y, [1, 2])
-            return y, logdet
-        else:
-            x = torch.exp(x) * x_mask
-            return x
-
-
-class Flip(nn.Module):
-    def forward(self, x, *args, reverse=False, **kwargs):
-        x = torch.flip(x, [1])
-        if not reverse:
-            logdet = torch.zeros(x.size(0)).to(dtype=x.dtype, device=x.device)
-            return x, logdet
-        else:
-            return x
-
-
-class ElementwiseAffine(nn.Module):
-    def __init__(self, channels):
-        super().__init__()
-        self.channels = channels
-        self.m = nn.Parameter(torch.zeros(channels, 1))
-        self.logs = nn.Parameter(torch.zeros(channels, 1))
-
-    def forward(self, x, x_mask, reverse=False, **kwargs):
-        if not reverse:
-            y = self.m + torch.exp(self.logs) * x
-            y = y * x_mask
-            logdet = torch.sum(self.logs * x_mask, [1, 2])
-            return y, logdet
-        else:
-            x = (x - self.m) * torch.exp(-self.logs) * x_mask
-            return x
-
-
-class ResidualCouplingLayer(nn.Module):
-    def __init__(
-        self,
-        channels,
-        hidden_channels,
-        kernel_size,
-        dilation_rate,
-        n_layers,
-        p_dropout=0,
-        gin_channels=0,
-        mean_only=False,
-    ):
-        assert channels % 2 == 0, "channels should be divisible by 2"
-        super().__init__()
-        self.channels = channels
-        self.hidden_channels = hidden_channels
-        self.kernel_size = kernel_size
-        self.dilation_rate = dilation_rate
-        self.n_layers = n_layers
-        self.half_channels = channels // 2
-        self.mean_only = mean_only
-
-        self.pre = nn.Conv1d(self.half_channels, hidden_channels, 1)
-        self.enc = WN(
-            hidden_channels,
-            kernel_size,
-            dilation_rate,
-            n_layers,
-            p_dropout=p_dropout,
-            gin_channels=gin_channels,
-        )
-        self.post = nn.Conv1d(hidden_channels, self.half_channels * (2 - mean_only), 1)
-        self.post.weight.data.zero_()
-        self.post.bias.data.zero_()
-
-    def forward(self, x, x_mask, g=None, reverse=False):
-        x0, x1 = torch.split(x, [self.half_channels] * 2, 1)
-        h = self.pre(x0) * x_mask
-        h = self.enc(h, x_mask, g=g)
-        stats = self.post(h) * x_mask
-        if not self.mean_only:
-            m, logs = torch.split(stats, [self.half_channels] * 2, 1)
-        else:
-            m = stats
-            logs = torch.zeros_like(m)
-
-        if not reverse:
-            x1 = m + x1 * torch.exp(logs) * x_mask
-            x = torch.cat([x0, x1], 1)
-            logdet = torch.sum(logs, [1, 2])
-            return x, logdet
-        else:
-            x1 = (x1 - m) * torch.exp(-logs) * x_mask
-            x = torch.cat([x0, x1], 1)
-            return x
-
-    def remove_weight_norm(self):
-        self.enc.remove_weight_norm()
-
-
-class ConvFlow(nn.Module):
-    def __init__(
-        self,
-        in_channels,
-        filter_channels,
-        kernel_size,
-        n_layers,
-        num_bins=10,
-        tail_bound=5.0,
-    ):
-        super().__init__()
-        self.in_channels = in_channels
-        self.filter_channels = filter_channels
-        self.kernel_size = kernel_size
-        self.n_layers = n_layers
-        self.num_bins = num_bins
-        self.tail_bound = tail_bound
-        self.half_channels = in_channels // 2
-
-        self.pre = nn.Conv1d(self.half_channels, filter_channels, 1)
-        self.convs = DDSConv(filter_channels, kernel_size, n_layers, p_dropout=0.0)
-        self.proj = nn.Conv1d(
-            filter_channels, self.half_channels * (num_bins * 3 - 1), 1
-        )
-        self.proj.weight.data.zero_()
-        self.proj.bias.data.zero_()
-
-    def forward(self, x, x_mask, g=None, reverse=False):
-        x0, x1 = torch.split(x, [self.half_channels] * 2, 1)
-        h = self.pre(x0)
-        h = self.convs(h, x_mask, g=g)
-        h = self.proj(h) * x_mask
-
-        b, c, t = x0.shape
-        h = h.reshape(b, c, -1, t).permute(0, 1, 3, 2)  # [b, cx?, t] -> [b, c, t, ?]
-
-        unnormalized_widths = h[..., : self.num_bins] / math.sqrt(self.filter_channels)
-        unnormalized_heights = h[..., self.num_bins : 2 * self.num_bins] / math.sqrt(
-            self.filter_channels
-        )
-        unnormalized_derivatives = h[..., 2 * self.num_bins :]
-
-        x1, logabsdet = piecewise_rational_quadratic_transform(
-            x1,
-            unnormalized_widths,
-            unnormalized_heights,
-            unnormalized_derivatives,
-            inverse=reverse,
-            tails="linear",
-            tail_bound=self.tail_bound,
-        )
-
-        x = torch.cat([x0, x1], 1) * x_mask
-        logdet = torch.sum(logabsdet * x_mask, [1, 2])
-        if not reverse:
-            return x, logdet
-        else:
-            return x

spaces/Ashrafb/Tesseract-OCR/app_blocks.py

@@ -1,48 +0,0 @@
-from typing import List
-
-import pytesseract
-from PIL import Image
-
-import gradio as gr
-
-def tesseract_ocr(filepath: str, languages: List[str]=None):
-    image = Image.open(filepath)
-    return pytesseract.image_to_string(image=image, lang=', '.join(languages) if languages else None)
-
-title = "Tesseract OCR"
-description = "Gradio demo for Tesseract. Tesseract is an open source text recognition (OCR) Engine."
-article = "<p style='text-align: center'><a href='https://tesseract-ocr.github.io/' target='_blank'>Tesseract documentation</a> | <a href='https://github.com/tesseract-ocr/tesseract' target='_blank'>Github Repo</a></p>"
-examples = [
-    ["examples/weird_unicode_math_symbols.png", []],
-    ["examples/eurotext.png", ["eng"]],
-    ["examples/tesseract_sample.png", ["jpn", "eng"]],
-    ["examples/chi.jpg", ["HanS", "HanT"]],
-]
-
-with gr.Blocks(title=title) as demo:
-    gr.Markdown(f'<h1 style="text-align: center; margin-bottom: 1rem;">{title}</h1>')
-    gr.Markdown(description)
-    with gr.Row():
-        with gr.Column():
-            image = gr.Image(type="filepath", label="Input")
-            language_choices = pytesseract.get_languages()
-            with gr.Accordion("Languages", open=False):
-                languages = gr.CheckboxGroup(language_choices, type="value", value=["eng"], label='language')
-            with gr.Row():
-                btn_clear = gr.ClearButton([image, languages])
-                btn_submit = gr.Button(value="Submit", variant="primary")
-        with gr.Column():
-            text = gr.Textbox(label="Output")
-
-    btn_submit.click(tesseract_ocr, inputs=[image, languages], outputs=text, api_name="tesseract-ocr")
-    btn_clear.add(text)
-
-    gr.Examples(
-        examples=examples,
-        inputs=[image, languages],
-    )
-
-    gr.Markdown(article)
-
-if __name__ == '__main__':
-    demo.launch()

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

@@ -1,32 +0,0 @@
-# SPDX-FileCopyrightText: 2015 Eric Larson
-#
-# SPDX-License-Identifier: Apache-2.0
-
-try:
-    from urllib.parse import urljoin
-except ImportError:
-    from urlparse import urljoin
-
-
-try:
-    import cPickle as pickle
-except ImportError:
-    import pickle
-
-# Handle the case where the requests module has been patched to not have
-# urllib3 bundled as part of its source.
-try:
-    from pip._vendor.requests.packages.urllib3.response import HTTPResponse
-except ImportError:
-    from pip._vendor.urllib3.response import HTTPResponse
-
-try:
-    from pip._vendor.requests.packages.urllib3.util import is_fp_closed
-except ImportError:
-    from pip._vendor.urllib3.util import is_fp_closed
-
-# Replicate some six behaviour
-try:
-    text_type = unicode
-except NameError:
-    text_type = str

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

@@ -1,519 +0,0 @@
-"""
-Utilities for determining application-specific dirs. See <https://github.com/platformdirs/platformdirs> for details and
-usage.
-"""
-from __future__ import annotations
-
-import os
-import sys
-from pathlib import Path
-
-if sys.version_info >= (3, 8):  # pragma: no cover (py38+)
-    from typing import Literal
-else:  # pragma: no cover (py38+)
-    from pip._vendor.typing_extensions import Literal
-
-from .api import PlatformDirsABC
-from .version import __version__
-from .version import __version_tuple__ as __version_info__
-
-
-def _set_platform_dir_class() -> type[PlatformDirsABC]:
-    if sys.platform == "win32":
-        from pip._vendor.platformdirs.windows import Windows as Result
-    elif sys.platform == "darwin":
-        from pip._vendor.platformdirs.macos import MacOS as Result
-    else:
-        from pip._vendor.platformdirs.unix import Unix as Result
-
-    if os.getenv("ANDROID_DATA") == "/data" and os.getenv("ANDROID_ROOT") == "/system":
-        if os.getenv("SHELL") or os.getenv("PREFIX"):
-            return Result
-
-        from pip._vendor.platformdirs.android import _android_folder
-
-        if _android_folder() is not None:
-            from pip._vendor.platformdirs.android import Android
-
-            return Android  # return to avoid redefinition of result
-
-    return Result
-
-
-PlatformDirs = _set_platform_dir_class()  #: Currently active platform
-AppDirs = PlatformDirs  #: Backwards compatibility with appdirs
-
-
-def user_data_dir(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    roaming: bool = False,
-    ensure_exists: bool = False,
-) -> str:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param roaming: See `roaming <platformdirs.api.PlatformDirsABC.roaming>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: data directory tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        roaming=roaming,
-        ensure_exists=ensure_exists,
-    ).user_data_dir
-
-
-def site_data_dir(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    multipath: bool = False,
-    ensure_exists: bool = False,
-) -> str:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param multipath: See `roaming <platformdirs.api.PlatformDirsABC.multipath>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: data directory shared by users
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        multipath=multipath,
-        ensure_exists=ensure_exists,
-    ).site_data_dir
-
-
-def user_config_dir(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    roaming: bool = False,
-    ensure_exists: bool = False,
-) -> str:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param roaming: See `roaming <platformdirs.api.PlatformDirsABC.roaming>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: config directory tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        roaming=roaming,
-        ensure_exists=ensure_exists,
-    ).user_config_dir
-
-
-def site_config_dir(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    multipath: bool = False,
-    ensure_exists: bool = False,
-) -> str:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param multipath: See `roaming <platformdirs.api.PlatformDirsABC.multipath>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: config directory shared by the users
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        multipath=multipath,
-        ensure_exists=ensure_exists,
-    ).site_config_dir
-
-
-def user_cache_dir(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    opinion: bool = True,
-    ensure_exists: bool = False,
-) -> str:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param opinion: See `roaming <platformdirs.api.PlatformDirsABC.opinion>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: cache directory tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        opinion=opinion,
-        ensure_exists=ensure_exists,
-    ).user_cache_dir
-
-
-def site_cache_dir(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    opinion: bool = True,
-    ensure_exists: bool = False,
-) -> str:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param opinion: See `opinion <platformdirs.api.PlatformDirsABC.opinion>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: cache directory tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        opinion=opinion,
-        ensure_exists=ensure_exists,
-    ).site_cache_dir
-
-
-def user_state_dir(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    roaming: bool = False,
-    ensure_exists: bool = False,
-) -> str:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param roaming: See `roaming <platformdirs.api.PlatformDirsABC.roaming>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: state directory tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        roaming=roaming,
-        ensure_exists=ensure_exists,
-    ).user_state_dir
-
-
-def user_log_dir(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    opinion: bool = True,
-    ensure_exists: bool = False,
-) -> str:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param opinion: See `roaming <platformdirs.api.PlatformDirsABC.opinion>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: log directory tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        opinion=opinion,
-        ensure_exists=ensure_exists,
-    ).user_log_dir
-
-
-def user_documents_dir() -> str:
-    """
-    :returns: documents directory tied to the user
-    """
-    return PlatformDirs().user_documents_dir
-
-
-def user_runtime_dir(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    opinion: bool = True,
-    ensure_exists: bool = False,
-) -> str:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param opinion: See `opinion <platformdirs.api.PlatformDirsABC.opinion>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: runtime directory tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        opinion=opinion,
-        ensure_exists=ensure_exists,
-    ).user_runtime_dir
-
-
-def user_data_path(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    roaming: bool = False,
-    ensure_exists: bool = False,
-) -> Path:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param roaming: See `roaming <platformdirs.api.PlatformDirsABC.roaming>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: data path tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        roaming=roaming,
-        ensure_exists=ensure_exists,
-    ).user_data_path
-
-
-def site_data_path(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    multipath: bool = False,
-    ensure_exists: bool = False,
-) -> Path:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param multipath: See `multipath <platformdirs.api.PlatformDirsABC.multipath>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: data path shared by users
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        multipath=multipath,
-        ensure_exists=ensure_exists,
-    ).site_data_path
-
-
-def user_config_path(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    roaming: bool = False,
-    ensure_exists: bool = False,
-) -> Path:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param roaming: See `roaming <platformdirs.api.PlatformDirsABC.roaming>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: config path tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        roaming=roaming,
-        ensure_exists=ensure_exists,
-    ).user_config_path
-
-
-def site_config_path(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    multipath: bool = False,
-    ensure_exists: bool = False,
-) -> Path:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param multipath: See `roaming <platformdirs.api.PlatformDirsABC.multipath>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: config path shared by the users
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        multipath=multipath,
-        ensure_exists=ensure_exists,
-    ).site_config_path
-
-
-def site_cache_path(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    opinion: bool = True,
-    ensure_exists: bool = False,
-) -> Path:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param opinion: See `opinion <platformdirs.api.PlatformDirsABC.opinion>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: cache directory tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        opinion=opinion,
-        ensure_exists=ensure_exists,
-    ).site_cache_path
-
-
-def user_cache_path(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    opinion: bool = True,
-    ensure_exists: bool = False,
-) -> Path:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param opinion: See `roaming <platformdirs.api.PlatformDirsABC.opinion>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: cache path tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        opinion=opinion,
-        ensure_exists=ensure_exists,
-    ).user_cache_path
-
-
-def user_state_path(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    roaming: bool = False,
-    ensure_exists: bool = False,
-) -> Path:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param roaming: See `roaming <platformdirs.api.PlatformDirsABC.roaming>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: state path tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        roaming=roaming,
-        ensure_exists=ensure_exists,
-    ).user_state_path
-
-
-def user_log_path(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    opinion: bool = True,
-    ensure_exists: bool = False,
-) -> Path:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param opinion: See `roaming <platformdirs.api.PlatformDirsABC.opinion>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: log path tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        opinion=opinion,
-        ensure_exists=ensure_exists,
-    ).user_log_path
-
-
-def user_documents_path() -> Path:
-    """
-    :returns: documents path tied to the user
-    """
-    return PlatformDirs().user_documents_path
-
-
-def user_runtime_path(
-    appname: str | None = None,
-    appauthor: str | None | Literal[False] = None,
-    version: str | None = None,
-    opinion: bool = True,
-    ensure_exists: bool = False,
-) -> Path:
-    """
-    :param appname: See `appname <platformdirs.api.PlatformDirsABC.appname>`.
-    :param appauthor: See `appauthor <platformdirs.api.PlatformDirsABC.appauthor>`.
-    :param version: See `version <platformdirs.api.PlatformDirsABC.version>`.
-    :param opinion: See `opinion <platformdirs.api.PlatformDirsABC.opinion>`.
-    :param ensure_exists: See `ensure_exists <platformdirs.api.PlatformDirsABC.ensure_exists>`.
-    :returns: runtime path tied to the user
-    """
-    return PlatformDirs(
-        appname=appname,
-        appauthor=appauthor,
-        version=version,
-        opinion=opinion,
-        ensure_exists=ensure_exists,
-    ).user_runtime_path
-
-
-__all__ = [
-    "__version__",
-    "__version_info__",
-    "PlatformDirs",
-    "AppDirs",
-    "PlatformDirsABC",
-    "user_data_dir",
-    "user_config_dir",
-    "user_cache_dir",
-    "user_state_dir",
-    "user_log_dir",
-    "user_documents_dir",
-    "user_runtime_dir",
-    "site_data_dir",
-    "site_config_dir",
-    "site_cache_dir",
-    "user_data_path",
-    "user_config_path",
-    "user_cache_path",
-    "user_state_path",
-    "user_log_path",
-    "user_documents_path",
-    "user_runtime_path",
-    "site_data_path",
-    "site_config_path",
-    "site_cache_path",
-]

spaces/Bannermore/BingChat/README.md

@@ -1,12 +0,0 @@
----
-title: BingChat
-emoji: ⚡
-colorFrom: gray
-colorTo: pink
-sdk: docker
-pinned: false
-license: mit
-app_port: 8080
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/Benson/text-generation/Examples/Aparcamiento Multijugador 4.8 5.4 Descarga.md

@@ -1,98 +0,0 @@
-<br />
-<h1>Aparcamiento de coches multijugador: una revisión del juego</h1>
-<p>Si usted está buscando un juego de simulador de estacionamiento de coches realista y divertido, es posible que desee echa un vistazo a Aparcamiento de coches multijugador. Este juego es más que aparcar tu coche. Es una experiencia de mundo abierto donde puedes conducir gratis, personalizar tu coche, interactuar con otros jugadores y explorar diferentes ubicaciones. En este artículo, revisaremos las características, el modo de juego y los consejos de Parking Multijugador.</p>
-<h2>aparcamiento multijugador 4.8 5.4 descarga</h2><br /><p><b><b>DOWNLOAD</b> &#9913; <a href="https://bltlly.com/2v6JGn">https://bltlly.com/2v6JGn</a></b></p><br /><br />
- <h2>Introducción</h2>
-<h3>¿Qué es el aparcamiento multijugador? </h3>
-<p>Car Parking Multiplayer es un juego de simulación desarrollado por olzhass. Está disponible para dispositivos Android e iOS. Puedes descargarlo desde Google Play Store o App Store. El juego tiene más de 100 millones de descargas y 2,13 millones de comentarios en Google Play Store, lo que lo convierte en uno de los juegos de aparcamiento más populares del mercado. </p>
- <h3>¿Por qué debe jugar Aparcamiento de coches multijugador? </h3>
-<p>Aparcamiento de coches multijugador no es solo un juego de aparcamiento típico. Ofrece una gran cantidad de características y modos que lo hacen destacar de otros juegos del género. Estas son algunas de las razones por las que usted debe jugar Parking Multijugador:</p>
-<ul>
-<li> Puede disfrutar de una experiencia de estacionamiento realista e inmersiva con gráficos, física y sonidos de alta calidad. </li>
-<li>Puede personalizar su coche con varias opciones como suspensión, ángulo de rueda, motor, escape, vinilos, partes del cuerpo, y más. </li>
-<li>Puedes explorar diferentes lugares como la ciudad, el aeropuerto, el desierto, la nieve, la montaña y más. </li>
-<li>Puedes unirte al modo multijugador de mundo abierto donde puedes interactuar con otros jugadores, competir con ellos, intercambiar coches con ellos, chatear con ellos o incluso convertirte en un oficial de policía. </li>
-<li> Usted puede elegir entre diferentes vehículos, tales como grúa, pickup, camiones, coches deportivos, coches clásicos, y más. </li>
-<li> Puede completar 82 desafíos de estacionamiento y conducción en la vida real que pondrán a prueba sus habilidades y conocimientos. </li>
-
-</ul>
- <h2>Características de Aparcamiento Multijugador</h2>
-<h3>Modo multijugador de mundo abierto</h3>
-<p>Una de las principales características de Parking Multijugador es el modo multijugador de mundo abierto. En este modo, puede unirse a miles de jugadores reales todos los días en un mundo abierto gratuito con estaciones de servicio y servicios de automóviles reales. Puedes hacer varias cosas en este modo como:</p>
-<p></p>
-<h4>Caminar libremente</h4>
-<p>Puedes saltar de tu auto y caminar alrededor del mundo. También puedes entrar en algunos edificios con interiores como apartamentos, tiendas, garajes, etc. También puedes usar animaciones y reacciones para expresarte o comunicarte con otros jugadores. </p>
- <h4>Mundo abierto libre con gasolineras reales y servicios de automóviles</h4>
-<p>Puedes conducir tu coche en un mundo abierto realista con reglas y señales de tráfico reales. También puede repostar su coche en las gasolineras o repararlo en los servicios del coche. También puede utilizar los servicios de lavado de coches, pintura de coches o tuning para cambiar la apariencia o el rendimiento de su coche. </p>
- <h4>Compite contra jugadores reales en las carreras multijugador</h4>
-<p>Puedes retar a otros jugadores a una carrera en el mundo abierto o unirte a un evento de carreras. Puedes elegir entre diferentes tipos de carreras, como drag, drift, circuito o off-road. También puedes personalizar los ajustes de la carrera como el número de vueltas, el clima, la hora del día, etc. Puedes ganar dinero y oro ganando carreras o apostando en otros jugadores. </p>
- <h4>Intercambiar coches con jugadores reales</h4>
-<p>Puedes intercambiar tu coche con otros jugadores en el mundo abierto o en el mercado de coches. También puedes comprar o vender coches usando dinero o oro. Puedes encontrar coches raros o exclusivos en el mercado o negociar con otros jugadores para conseguir la mejor oferta. </p>
- <h4>Lista de amigos, chat de voz y modo de policía</h4>
-
- <h3>Personalización del coche</h3>
-<p>Otra característica de Car Parking Multijugador es la personalización del coche. Puede modificar su coche con varias opciones como:</p>
-<h4>Suspensión ajustable, ángulo de rueda y más</h4>
-<p>Puede ajustar la altura de la suspensión, la rigidez, la amortiguación, el camber, el dedo del pie, el echador, y la barra antivuelco de su coche. También puede cambiar el ángulo de la rueda, el tamaño, el ancho, el desplazamiento y el color de su automóvil. También puede añadir spoilers, parachoques, faldas, campanas, techos, espejos, luces, parrillas y más a su coche. </p>
- <h4>Ajuste del motor: motor de intercambio, turbo, caja de cambios y escape</h4>
-<p>Puedes ajustar el motor de tu coche cambiándolo por uno diferente o añadiendo un turbocompresor. También puede cambiar el tipo de caja de cambios, la relación y el diferencial de su automóvil. También puede cambiar el tipo de escape, el sonido y el humo de su automóvil. </p>
- <h4>Visual auto tunings: vinilos dinámicos, partes del cuerpo del coche</h4>
-<p>Puede personalizar la apariencia de su automóvil aplicando vinilos dinámicos que cambian de color dependiendo del ángulo de visión. También puede cambiar las partes del cuerpo del automóvil, como puertas, ventanas, maletero, capucha, etc. También puede agregar pegatinas, calcomanías, insignias, números, banderas, etc. a su automóvil. </p>
- <h3>Mundo abierto de alta calidad</h3>
-<p>La tercera característica de Aparcamiento Multijugador es el mundo abierto de alta calidad. El juego tiene un entorno realista y detallado que puedes explorar y disfrutar. El juego tiene:</p>
-<h4>Entornos muy detallados</h4>
-<p>El juego tiene diferentes ubicaciones como ciudad, aeropuerto, desierto, nieve, montaña y más. Cada ubicación tiene sus propias características, desafíos y atracciones. Puedes ver edificios realistas, carreteras, puentes, árboles, plantas, animales, personas, vehículos y más. También puedes experimentar diferentes condiciones climáticas como lluvia, nieve, niebla, viento, etc.</p>
- <h4>100 coches con el interior real</h4>
-
- <h4>16 pieles de jugador</h4>
-<p>El juego tiene 16 pieles de jugador entre las que puedes elegir. Cada piel tiene su propia apariencia, ropa y accesorios. También puede cambiar el color del cabello, el color de los ojos, el tono de la piel y las características faciales de su reproductor. También puedes usar diferentes animaciones y reacciones para expresarte o comunicarte con otros jugadores. </p>
- <h4>Edificios con interior</h4>
-<p>El juego tiene edificios que puedes entrar y explorar. Algunos edificios tienen interiores como apartamentos, tiendas, garajes, etc. También puedes interactuar con algunos objetos dentro de los edificios como puertas, ventanas, interruptores, televisores, radios, etc.</p>
- <h3>Juego interesante</h3>
-<p>La cuarta característica de Car Parking Multiplayer es el juego interesante. El juego tiene varios modos y desafíos que puedes jugar y disfrutar. El juego tiene:</p>
-<h4>82 desafíos de estacionamiento y conducción en la vida real</h4>
-<p>El juego tiene 82 desafíos de estacionamiento y conducción que pondrán a prueba tus habilidades y conocimientos. Usted tiene que aparcar su coche en diferentes situaciones, tales como estacionamiento paralelo, estacionamiento inverso, estacionamiento diagonal, etc. Usted también tiene que conducir su coche en diferentes escenarios tales como atasco de tráfico, carretera estrecha, carretera resbaladiza, etc. Tienes que seguir las reglas y señales y evitar chocar con obstáculos u otros coches. </p>
- <h4>Diferentes vehículos: Grúa, camioneta, camiones, coches deportivos y clásicos</h4>
-<p>El juego tiene diferentes vehículos que puede conducir o estacionar. Puede elegir entre grúa, camioneta, camiones, autos deportivos, autos clásicos y más. Cada vehículo tiene sus propias características, ventajas y desventajas. También puede cambiar entre diferentes vehículos en el mundo abierto o en el mercado de automóviles. </p>
- <h2>Consejos y trucos para el estacionamiento de coches multijugador</h2>
-<h3>Cómo ganar dinero y oro en el juego</h3>
-<p>El dinero y el oro son las principales monedas en el juego. Puedes utilizarlos para comprar o mejorar coches, desbloquear nuevas ubicaciones o acceder a funciones premium. Aquí hay algunas maneras de ganar dinero y oro en el juego:</p>
-<ul>
-
-<li>Ganar carreras o apostar a otros jugadores. Puedes ganar dinero y oro ganando carreras o apostando a otros jugadores en el modo de carreras multijugador. La cantidad de dinero y oro que ganes dependerá del tipo y configuración de la carrera. </li>
-<li>Vender o intercambiar coches. Usted puede ganar dinero o oro mediante la venta o el comercio de sus coches en el mercado de automóviles. La cantidad de dinero u oro que ganes depende del valor y la demanda de tu auto. </li>
-<li>Ver anuncios u ofertas completas. Puedes ganar dinero u oro viendo anuncios o completando ofertas en el juego. La cantidad de dinero u oro que ganes dependerá del tipo y duración del anuncio o la oferta. </li>
-</ul>
- <h3>Cómo desbloquear nuevos coches y ubicaciones en el juego</h3>
-<p>Los coches y las ubicaciones son los elementos principales del juego. Puedes desbloquear nuevos coches y ubicaciones usando dinero o oro. Aquí hay algunas maneras de desbloquear nuevos coches y ubicaciones en el juego:</p>
-<ul>
-<li>Comprar coches o ubicaciones. Usted puede comprar coches nuevos o lugares con dinero o oro en el juego. El precio de cada coche o ubicación varía dependiendo de su calidad y rareza. </li>
-<li>Gana estrellas o logros. Puedes desbloquear nuevos coches o ubicaciones al ganar estrellas o logros en el juego. Las estrellas se ganan completando los desafíos de estacionamiento y conducción con puntuaciones altas. Los logros se obtienen al completar ciertas tareas o objetivos en el juego. </li>
-<li>Únete a eventos o promociones. Puedes desbloquear nuevos coches o ubicaciones uniéndote a eventos o promociones en el juego. Los eventos son ocasiones especiales en las que puedes obtener autos o ubicaciones exclusivas por un tiempo limitado. Las promociones son ofertas especiales donde puedes obtener descuentos o bonos para comprar autos o ubicaciones. </li>
-</ul>
- <h3>Cómo usar el modo drone y tomar capturas de pantalla en el juego</h3>
-<p>El modo drone y las capturas de pantalla son dos características que puedes usar para mejorar tu experiencia de juego. Aquí hay algunas maneras de usar el modo drone y tomar capturas de pantalla en el juego:</p>
-<ul>
-
-<li>Modo drone de control. Puede controlar el modo drone utilizando el joystick en el lado izquierdo de la pantalla y los botones en el lado derecho de la pantalla. Puede mover el dron hacia arriba, abajo, izquierda, derecha, adelante o hacia atrás. También puede acercar o alejar, girar o inclinar la cámara. </li>
-<li>Tomar capturas de pantalla. Puede tomar capturas de pantalla tocando el icono de la cámara en la esquina superior derecha de la pantalla. Las capturas de pantalla se guardarán en la galería de tu dispositivo. También puedes compartir tus capturas de pantalla con otros jugadores o en las redes sociales. </li>
-</ul>
- <h3>Cómo evitar ser prohibido o reportado en el juego</h3>
-<p>Prohibido o reportado son dos consecuencias que usted podría enfrentar si usted viola las reglas o etiqueta del juego. Aquí hay algunas maneras de evitar ser prohibido o reportado en el juego:</p>
-<ul>
-<li>Siga las reglas y signos. Usted debe seguir las reglas de tráfico y señales en el juego como límite de velocidad, señal de stop, luz roja, etc. También debe respetar la propiedad y la privacidad de otros jugadores y edificios. </li>
-<li>Sé educado y respetuoso. Debes ser educado y respetuoso con otros jugadores en el juego. No debe usar lenguaje ofensivo o abusivo, spam o acosar a otros jugadores. Tampoco debe engañar, hackear o explotar fallas en el juego. </li>
-<li>Reportar o bloquear delincuentes. Si se encuentra con alguien que está rompiendo las reglas o siendo grosero con usted, puede informar o bloquearlos en el juego. Puede reportarlos pulsando en su nombre y seleccionando la opción de informe. Puede bloquearlos pulsando en su nombre y seleccionando la opción de bloque. </li>
-</ul>
- <h2>Conclusión y preguntas frecuentes</h2>
-
- <p>Aquí hay algunas preguntas frecuentes sobre el multijugador de estacionamiento de automóviles:</p>
-<ul>
-<li>P: ¿Cómo descargar la versión Car Parking Multiplayer 4.8 5.4? <br>A: Usted puede descargar Aparcamiento de coches multijugador 4.8 5.4 versión de Google Play Store o App Store. También puede descargarlo de sitios web de terceros como APKPure o APKMirror, pero asegúrese de que sean seguros y confiables. </li>
-<li>Q: ¿Cómo actualizar el multijugador de estacionamiento? <br>A: Usted puede actualizar Aparcamiento de coches multijugador yendo a Google Play Store o App Store y comprobar si hay actualizaciones. También puedes habilitar actualizaciones automáticas en la configuración de tu dispositivo para obtener la última versión del juego. </li>
-<li>Q: ¿Cómo se juega aparcamiento de coches multijugador fuera de línea? <br>A: Puedes jugar Car Parking Multijugador offline apagando tu conexión a Internet y seleccionando el modo offline en el menú del juego. Aún puedes jugar a desafíos de estacionamiento y conducción, personalización de automóviles y modo drone en modo offline. </li>
-<li>Q: ¿Cómo se juega aparcamiento multijugador con amigos? <br>A: Puedes jugar Car Parking Multijugador con amigos agregándolos a tu lista de amigos e invitándolos a unirse a tu clan o habitación. También puede unirse a su clan o habitación introduciendo su código o nombre. A continuación, puede chatear con ellos, correr con ellos, intercambiar coches con ellos, o ayudarles en el juego. </li>
-<li>P: ¿Cómo obtener dinero gratis y oro en el multijugador de estacionamiento de automóviles? <br>A: Puede obtener dinero y oro gratis en el Multijugador de estacionamiento completando desafíos de estacionamiento y conducción, ganando carreras o apostando en otros jugadores, vendiendo o intercambiando autos, viendo anuncios o completando ofertas, ganando estrellas o logros, uniéndose a eventos o promociones, etc.</li>
-</ul></p> 64aa2da5cf<br />
-<br />
-<br />

spaces/Benson/text-generation/Examples/Descargar Facebook Lite 11.md

@@ -1,95 +0,0 @@
-<br />
-<h1>Descargar Facebook Lite 11: Una forma más rápida y ligera de conectarse con tus amigos</h1>
-<p>Facebook es una de las plataformas de redes sociales más populares del mundo, con más de 2,9 mil millones de usuarios activos mensuales en junio de 2021. Sin embargo, no todo el mundo tiene acceso a una conexión a Internet rápida y confiable, o un teléfono inteligente potente y espacioso, para disfrutar de la experiencia completa de Facebook. Es por eso que Facebook creó Facebook Lite, una versión en miniatura de la aplicación original que está diseñada para funcionar bien en dispositivos de gama baja y redes lentas. En este artículo, te contaremos todo lo que necesitas saber sobre Facebook Lite 11, la última versión de esta aplicación, y cómo puedes descargarla para tu dispositivo Android o iOS. </p>
- <h2>¿Qué es Facebook Lite 11? </h2>
-<p>Facebook Lite 11 es la última actualización de la aplicación Facebook Lite, que fue lanzada el 17 de junio de 2023. Es una pequeña aplicación que ocupa solo 2,33 MB de espacio de almacenamiento en su teléfono, en comparación con la aplicación regular de Facebook que pesa alrededor de 162 MB. También utiliza menos datos móviles y funciona en todas las redes, incluyendo 2G. </p>
-<h2>descargar facebook lite 11</h2><br /><p><b><b>DOWNLOAD</b> &#10038;&#10038;&#10038; <a href="https://bltlly.com/2v6IP8">https://bltlly.com/2v6IP8</a></b></p><br /><br />
- <h3>Características de Facebook Lite 11</h3>
-<p>Facebook Lite 11 ofrece muchas de las características clásicas de Facebook, como:</p>
-<ul>
-<li>Compartir mensajes, fotos, vídeos y memes a su línea de tiempo o grupos</li>
-<li>Gustar, comentar y reaccionar a los mensajes de tus amigos</li>
-<li>Encontrar y agregar amigos y familiares</li>
-<li>Editar tu perfil y configuración de privacidad</li>
-<li>Siguiendo personas, páginas y grupos para obtener sus últimas noticias</li>
-<li>Buscar personas, eventos, negocios y temas</li>
-<li>Comprar y vender localmente en Facebook Marketplace</li>
-<li>Usando Messenger para chatear con tus contactos sin descargar una aplicación separada</li>
-</ul>
-<p>Sin embargo, algunas características no están disponibles en Facebook Lite 11, como:</p>
-<ul>
-<li>Ver videos o historias en vivo</li>
-<li>Uso de filtros o pegatinas en sus fotos o vídeos</li>
-<li>Jugar o usar aplicaciones en Facebook</li>
-
-<li>Usando el modo oscuro u otros temas</li>
-</ul>
- <h3>Facebook Lite 11 vs aplicación de Facebook</h3>
-<p>La principal diferencia entre Facebook Lite 11 y la aplicación regular de Facebook es el tamaño y el rendimiento de las aplicaciones. Facebook Lite 11 es mucho más pequeño y más rápido que la aplicación normal, pero también tiene una calidad de imagen y video más baja, una interfaz de usuario básica y un texto y botones más pequeños. La aplicación regular tiene una interfaz de usuario más agradable, imágenes y videos de mayor calidad, y una aplicación de mensajería separada, pero requiere más espacio de almacenamiento, más energía de la batería y una conexión a Internet más rápida. </p>
- <h2>Por qué debería descargar Facebook Lite 11</h2>
- <h3>Facebook Lite 11 pros y contras</h3>
-<p>Facebook Lite 11 tiene sus propias ventajas y desventajas, dependiendo de sus necesidades y preferencias. Aquí están algunas de ellas:</p>
- <borde de la tabla="1">
-<tr><th>Pros</th><th>Contras</th></tr>
-<tr><td>Ahorra espacio en su teléfono</td><td>Tiene una calidad de imagen y video más baja</td></tr>
-<tr><td>Utiliza menos datos móviles</td><td>Tiene una interfaz de usuario básica</td></tr>
-<tr><td>Funciona en teléfonos Android antiguos</td><td>Tiene texto y botones más pequeños</td></tr>
-<tr><td>Carga rápidamente</td><td>Carece de algunas características de la aplicación normal</td></tr>
-<tr><td>Funciona en todas las redes</td><td>Es posible que no obtenga nuevas funciones tan rápido como la aplicación normal</td></tr>
-<tr><td>Incluye messenger en la misma aplicación</td <td>Requiere una aplicación separada para messenger</td></tr>
-</tabla>
- <h3>Facebook Lite 11 opiniones</h3>
-<p>Facebook Lite 11 ha recibido críticas positivas de usuarios que aprecian su velocidad, simplicidad y funcionalidad. Tiene una calificación de 4.2 de 5 estrellas en Google Play Store, basada en más de 17 millones de comentarios. Estos son algunos de los comentarios de usuarios satisfechos:</p>
-<blockquote>
-<p>"Me encanta esta aplicación. Es rápida y fácil de usar. No ocupa mucho espacio en mi teléfono y no consume muchos datos. Puedo chatear con mis amigos y familiares sin ningún problema. Es mejor que la aplicación regular de Facebook."</p>
-
-<p>"Esta aplicación es perfecta para mí. Se carga rápidamente y funciona en cualquier red. No agota mi batería ni usa demasiados datos. Tiene una interfaz de usuario simple que es fácil de navegar. También se actualiza regularmente con nuevas características y mejoras."</p>
-</blockquote>
- <h2>Cómo descargar Facebook Lite 11 para Android o iOS</h2>
- <h3>Descargar Facebook Lite 11 de Google Play Store o App Store</h3>
-<p>La forma más fácil de descargar Facebook Lite 11 es obtenerlo de las tiendas de aplicaciones oficiales para su dispositivo. Estos son los pasos a seguir:</p>
-<p></p>
-<ol>
-<li>Abre la Google Play Store o App Store en tu teléfono. </li>
-<li>Buscar "Facebook Lite" en la barra de búsqueda. </li>
-<li>Toque en el icono de la aplicación que dice "Facebook Lite" y tiene un fondo azul con un logotipo blanco "f". </li>
-<li>Toque en el botón "Instalar" o "Obtener" para descargar la aplicación. </li>
-<li>Espere a que la aplicación termine de descargar e instalar en su teléfono. </li>
-<li>Abra la aplicación e inicie sesión con su cuenta de Facebook o cree una nueva. </li>
-<li>Disfruta usando Facebook Lite 11 en tu teléfono. </li>
-</ol>
- <h3>Descargar Facebook Lite 11 APK para Android</h3>
-<p>Si no puedes acceder a Google Play Store o quieres descargar Facebook Lite 11 de otra fuente, también puedes obtenerlo como un archivo APK, que es un paquete de aplicación para Android que contiene todos los archivos necesarios para instalar una aplicación. Sin embargo, debe tener cuidado al descargar archivos APK de fuentes desconocidas, ya que podrían contener malware o virus que pueden dañar su dispositivo. Aquí están los pasos para descargar Facebook Lite 11 APK para Android:</p>
-<ol>
-<li>Ir a un sitio web de confianza que ofrece archivos APK, tales como [APKPure] o [APKMirror]. </li>
-<li>Buscar "Facebook Lite" en la barra de búsqueda. </li>
-<li>Seleccione la versión que dice "Facebook Lite 11" y tiene una fecha de lanzamiento del 17 de junio de 2023. </li>
-<li>Toque en el botón "Descargar APK" para descargar el archivo. </li>
-<li>Ir a la configuración del teléfono y permitir la opción de instalar aplicaciones de fuentes desconocidas. </li>
-
-<li>Abra la aplicación e inicie sesión con su cuenta de Facebook o cree una nueva. </li>
-<li>Disfruta usando Facebook Lite 11 en tu teléfono. </li>
-</ol>
- <h2>Conclusión</h2>
-<p>Facebook Lite 11 es una gran alternativa a la aplicación regular de Facebook para los usuarios que tienen dispositivos de gama baja, redes lentas o planes de datos limitados. Ofrece muchas de las mismas características que la aplicación original, pero con un tamaño más pequeño, una velocidad más rápida y un menor consumo de datos. También funciona en todos los teléfonos Android y dispositivos iOS. Puedes descargar Facebook Lite 11 desde Google Play Store o App Store, o como un archivo APK desde un sitio web de confianza. Si quieres mantenerte conectado con tus amigos y familiares en Facebook sin comprometer el rendimiento de tu teléfono o tu presupuesto, deberías probar Facebook Lite 11. </p>
- <h2>Preguntas frecuentes</h2>
- <h4>¿Cuál es la diferencia entre Facebook Lite y Facebook? </h4>
-<p>Facebook Lite es una versión más pequeña y rápida de Facebook que funciona bien en dispositivos de gama baja y redes lentas. Tiene la mayoría de las características de Facebook, pero con una calidad de imagen y video más baja, una interfaz de usuario básica y un texto y botones más pequeños. Facebook es la aplicación original que tiene una interfaz de usuario más agradable, imágenes y videos de mayor calidad, y una aplicación de mensajería separada, pero requiere más espacio de almacenamiento, más batería y una conexión a Internet más rápida. </p>
- <h4>¿Es seguro usar Facebook Lite? </h4>
-<p>Facebook Lite es seguro de usar siempre y cuando se descarga desde las tiendas de aplicaciones oficiales o un sitio web de confianza. Tiene las mismas características de seguridad y privacidad que la aplicación regular de Facebook, como cifrado, autenticación de dos factores y protección de datos. Sin embargo, siempre debes tener cuidado al usar cualquier aplicación que requiera tu información personal o acceso a tu dispositivo. También debe evitar hacer clic en enlaces o anuncios sospechosos, o descargar archivos de fuentes desconocidas. </p>
- <h4>¿Cómo puedo actualizar Facebook Lite 11? </h4>
-
- <h4>¿Cómo puedo eliminar Facebook Lite 11? </h4>
-<p>Si desea eliminar Facebook Lite 11 de su teléfono, puede hacerlo siguiendo estos pasos:</p>
-<ol>
-<li>Ir a la configuración del teléfono y toque en "Aplicaciones" o "Aplicaciones". </li>
-<li>Encuentra y toca "Facebook Lite". </li>
-<li>Toque en "Desinstalar" o "Eliminar". </li>
-<li>Confirma tu acción tocando en "OK" o "Sí". </li>
-<li>Espere a que la aplicación se elimine de su teléfono. </li>
-</ol>
- <h4>¿Puedo usar Facebook Lite 11 y la aplicación de Facebook al mismo tiempo? </h4>
-<p>Sí, puede utilizar tanto Facebook Lite 11 y la aplicación regular de Facebook al mismo tiempo en su teléfono. Sin embargo, es posible que encuentre algunos problemas, como notificaciones duplicadas, configuraciones en conflicto o un rendimiento más lento. También puede consumir más espacio de almacenamiento, energía de la batería y datos mediante el uso de ambas aplicaciones. Por lo tanto, se recomienda que elija una aplicación que se adapte mejor a sus necesidades y preferencias. </p>
- <h4></h4></p> 64aa2da5cf<br />
-<br />
-<br />

spaces/Big-Web/MMSD/env/Lib/site-packages/pip/_vendor/pygments/formatters/rtf.py

@@ -1,146 +0,0 @@
-"""
-    pygments.formatters.rtf
-    ~~~~~~~~~~~~~~~~~~~~~~~
-
-    A formatter that generates RTF files.
-
-    :copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS.
-    :license: BSD, see LICENSE for details.
-"""
-
-from pip._vendor.pygments.formatter import Formatter
-from pip._vendor.pygments.util import get_int_opt, surrogatepair
-
-
-__all__ = ['RtfFormatter']
-
-
-class RtfFormatter(Formatter):
-    """
-    Format tokens as RTF markup. This formatter automatically outputs full RTF
-    documents with color information and other useful stuff. Perfect for Copy and
-    Paste into Microsoft(R) Word(R) documents.
-
-    Please note that ``encoding`` and ``outencoding`` options are ignored.
-    The RTF format is ASCII natively, but handles unicode characters correctly
-    thanks to escape sequences.
-
-    .. versionadded:: 0.6
-
-    Additional options accepted:
-
-    `style`
-        The style to use, can be a string or a Style subclass (default:
-        ``'default'``).
-
-    `fontface`
-        The used font family, for example ``Bitstream Vera Sans``. Defaults to
-        some generic font which is supposed to have fixed width.
-
-    `fontsize`
-        Size of the font used. Size is specified in half points. The
-        default is 24 half-points, giving a size 12 font.
-
-        .. versionadded:: 2.0
-    """
-    name = 'RTF'
-    aliases = ['rtf']
-    filenames = ['*.rtf']
-
-    def __init__(self, **options):
-        r"""
-        Additional options accepted:
-
-        ``fontface``
-            Name of the font used. Could for example be ``'Courier New'``
-            to further specify the default which is ``'\fmodern'``. The RTF
-            specification claims that ``\fmodern`` are "Fixed-pitch serif
-            and sans serif fonts". Hope every RTF implementation thinks
-            the same about modern...
-
-        """
-        Formatter.__init__(self, **options)
-        self.fontface = options.get('fontface') or ''
-        self.fontsize = get_int_opt(options, 'fontsize', 0)
-
-    def _escape(self, text):
-        return text.replace('\\', '\\\\') \
-                   .replace('{', '\\{') \
-                   .replace('}', '\\}')
-
-    def _escape_text(self, text):
-        # empty strings, should give a small performance improvement
-        if not text:
-            return ''
-
-        # escape text
-        text = self._escape(text)
-
-        buf = []
-        for c in text:
-            cn = ord(c)
-            if cn < (2**7):
-                # ASCII character
-                buf.append(str(c))
-            elif (2**7) <= cn < (2**16):
-                # single unicode escape sequence
-                buf.append('{\\u%d}' % cn)
-            elif (2**16) <= cn:
-                # RTF limits unicode to 16 bits.
-                # Force surrogate pairs
-                buf.append('{\\u%d}{\\u%d}' % surrogatepair(cn))
-
-        return ''.join(buf).replace('\n', '\\par\n')
-
-    def format_unencoded(self, tokensource, outfile):
-        # rtf 1.8 header
-        outfile.write('{\\rtf1\\ansi\\uc0\\deff0'
-                      '{\\fonttbl{\\f0\\fmodern\\fprq1\\fcharset0%s;}}'
-                      '{\\colortbl;' % (self.fontface and
-                                        ' ' + self._escape(self.fontface) or
-                                        ''))
-
-        # convert colors and save them in a mapping to access them later.
-        color_mapping = {}
-        offset = 1
-        for _, style in self.style:
-            for color in style['color'], style['bgcolor'], style['border']:
-                if color and color not in color_mapping:
-                    color_mapping[color] = offset
-                    outfile.write('\\red%d\\green%d\\blue%d;' % (
-                        int(color[0:2], 16),
-                        int(color[2:4], 16),
-                        int(color[4:6], 16)
-                    ))
-                    offset += 1
-        outfile.write('}\\f0 ')
-        if self.fontsize:
-            outfile.write('\\fs%d' % self.fontsize)
-
-        # highlight stream
-        for ttype, value in tokensource:
-            while not self.style.styles_token(ttype) and ttype.parent:
-                ttype = ttype.parent
-            style = self.style.style_for_token(ttype)
-            buf = []
-            if style['bgcolor']:
-                buf.append('\\cb%d' % color_mapping[style['bgcolor']])
-            if style['color']:
-                buf.append('\\cf%d' % color_mapping[style['color']])
-            if style['bold']:
-                buf.append('\\b')
-            if style['italic']:
-                buf.append('\\i')
-            if style['underline']:
-                buf.append('\\ul')
-            if style['border']:
-                buf.append('\\chbrdr\\chcfpat%d' %
-                           color_mapping[style['border']])
-            start = ''.join(buf)
-            if start:
-                outfile.write('{%s ' % start)
-            outfile.write(self._escape_text(value))
-            if start:
-                outfile.write('}')
-
-        outfile.write('}')

spaces/CForGETaass/vits-uma-genshin-honkai/commons.py

@@ -1,172 +0,0 @@
-import math
-import torch
-from torch.nn import functional as F
-import torch.jit
-
-
-def script_method(fn, _rcb=None):
-  return fn
-
-
-def script(obj, optimize=True, _frames_up=0, _rcb=None):
-  return obj
-
-
-torch.jit.script_method = script_method
-torch.jit.script = script
-
-
-def init_weights(m, mean=0.0, std=0.01):
-  classname = m.__class__.__name__
-  if classname.find("Conv") != -1:
-    m.weight.data.normal_(mean, std)
-
-
-def get_padding(kernel_size, dilation=1):
-  return int((kernel_size*dilation - dilation)/2)
-
-
-def convert_pad_shape(pad_shape):
-  l = pad_shape[::-1]
-  pad_shape = [item for sublist in l for item in sublist]
-  return pad_shape
-
-
-def intersperse(lst, item):
-  result = [item] * (len(lst) * 2 + 1)
-  result[1::2] = lst
-  return result
-
-
-def kl_divergence(m_p, logs_p, m_q, logs_q):
-  """KL(P||Q)"""
-  kl = (logs_q - logs_p) - 0.5
-  kl += 0.5 * (torch.exp(2. * logs_p) + ((m_p - m_q)**2)) * torch.exp(-2. * logs_q)
-  return kl
-
-
-def rand_gumbel(shape):
-  """Sample from the Gumbel distribution, protect from overflows."""
-  uniform_samples = torch.rand(shape) * 0.99998 + 0.00001
-  return -torch.log(-torch.log(uniform_samples))
-
-
-def rand_gumbel_like(x):
-  g = rand_gumbel(x.size()).to(dtype=x.dtype, device=x.device)
-  return g
-
-
-def slice_segments(x, ids_str, segment_size=4):
-  ret = torch.zeros_like(x[:, :, :segment_size])
-  for i in range(x.size(0)):
-    idx_str = ids_str[i]
-    idx_end = idx_str + segment_size
-    ret[i] = x[i, :, idx_str:idx_end]
-  return ret
-
-
-def rand_slice_segments(x, x_lengths=None, segment_size=4):
-  b, d, t = x.size()
-  if x_lengths is None:
-    x_lengths = t
-  ids_str_max = x_lengths - segment_size + 1
-  ids_str = (torch.rand([b]).to(device=x.device) * ids_str_max).to(dtype=torch.long)
-  ret = slice_segments(x, ids_str, segment_size)
-  return ret, ids_str
-
-
-def get_timing_signal_1d(
-    length, channels, min_timescale=1.0, max_timescale=1.0e4):
-  position = torch.arange(length, dtype=torch.float)
-  num_timescales = channels // 2
-  log_timescale_increment = (
-      math.log(float(max_timescale) / float(min_timescale)) /
-      (num_timescales - 1))
-  inv_timescales = min_timescale * torch.exp(
-      torch.arange(num_timescales, dtype=torch.float) * -log_timescale_increment)
-  scaled_time = position.unsqueeze(0) * inv_timescales.unsqueeze(1)
-  signal = torch.cat([torch.sin(scaled_time), torch.cos(scaled_time)], 0)
-  signal = F.pad(signal, [0, 0, 0, channels % 2])
-  signal = signal.view(1, channels, length)
-  return signal
-
-
-def add_timing_signal_1d(x, min_timescale=1.0, max_timescale=1.0e4):
-  b, channels, length = x.size()
-  signal = get_timing_signal_1d(length, channels, min_timescale, max_timescale)
-  return x + signal.to(dtype=x.dtype, device=x.device)
-
-
-def cat_timing_signal_1d(x, min_timescale=1.0, max_timescale=1.0e4, axis=1):
-  b, channels, length = x.size()
-  signal = get_timing_signal_1d(length, channels, min_timescale, max_timescale)
-  return torch.cat([x, signal.to(dtype=x.dtype, device=x.device)], axis)
-
-
-def subsequent_mask(length):
-  mask = torch.tril(torch.ones(length, length)).unsqueeze(0).unsqueeze(0)
-  return mask
-
-
-@torch.jit.script
-def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels):
-  n_channels_int = n_channels[0]
-  in_act = input_a + input_b
-  t_act = torch.tanh(in_act[:, :n_channels_int, :])
-  s_act = torch.sigmoid(in_act[:, n_channels_int:, :])
-  acts = t_act * s_act
-  return acts
-
-
-def convert_pad_shape(pad_shape):
-  l = pad_shape[::-1]
-  pad_shape = [item for sublist in l for item in sublist]
-  return pad_shape
-
-
-def shift_1d(x):
-  x = F.pad(x, convert_pad_shape([[0, 0], [0, 0], [1, 0]]))[:, :, :-1]
-  return x
-
-
-def sequence_mask(length, max_length=None):
-  if max_length is None:
-    max_length = length.max()
-  x = torch.arange(max_length, dtype=length.dtype, device=length.device)
-  return x.unsqueeze(0) < length.unsqueeze(1)
-
-
-def generate_path(duration, mask):
-  """
-  duration: [b, 1, t_x]
-  mask: [b, 1, t_y, t_x]
-  """
-  device = duration.device
-  
-  b, _, t_y, t_x = mask.shape
-  cum_duration = torch.cumsum(duration, -1)
-  
-  cum_duration_flat = cum_duration.view(b * t_x)
-  path = sequence_mask(cum_duration_flat, t_y).to(mask.dtype)
-  path = path.view(b, t_x, t_y)
-  path = path - F.pad(path, convert_pad_shape([[0, 0], [1, 0], [0, 0]]))[:, :-1]
-  path = path.unsqueeze(1).transpose(2,3) * mask
-  return path
-
-
-def clip_grad_value_(parameters, clip_value, norm_type=2):
-  if isinstance(parameters, torch.Tensor):
-    parameters = [parameters]
-  parameters = list(filter(lambda p: p.grad is not None, parameters))
-  norm_type = float(norm_type)
-  if clip_value is not None:
-    clip_value = float(clip_value)
-
-  total_norm = 0
-  for p in parameters:
-    param_norm = p.grad.data.norm(norm_type)
-    total_norm += param_norm.item() ** norm_type
-    if clip_value is not None:
-      p.grad.data.clamp_(min=-clip_value, max=clip_value)
-  total_norm = total_norm ** (1. / norm_type)
-  return total_norm

spaces/CVPR/Dual-Key_Backdoor_Attacks/utils/check_exist.py

@@ -1,125 +0,0 @@
-"""
-=========================================================================================
-Trojan VQA
-Written by Matthew Walmer
-
-Helper scripts to check if a job has already been run to aid orchestrator.py.
-=========================================================================================
-"""
-import os
-import numpy as np
-
-
-
-def featfile_to_id(file_name):
-    base = os.path.splitext(file_name)[0]
-    base = os.path.splitext(base)[0]
-    return int(base.split('_')[-1])
-
-
-
-def check_feature_extraction(s, downstream=None, debug=False):
-    # train set features
-    data_loc = os.path.join('data', 'feature_cache', s['feat_id'], s['detector'], 'train2014')
-    if not os.path.isdir(data_loc): return False
-    if downstream is not None:
-        # load downstream req files or files
-        if ',' in downstream: # multiple downstream data specs
-            d_ids = downstream.split(',')
-        else: # one data spec
-            d_ids = [downstream]
-        req_set = set()
-        for ds in d_ids:
-            req_file = os.path.join('data', 'feature_reqs', ds + '_reqs.npy')
-            if not os.path.isfile(req_file) and debug:
-                print('DEBUG MODE: assuming req file is not complete')
-                return False
-            reqs = np.load(req_file)
-            for r in reqs:
-                req_set.add(r)
-        # check if requirements met
-        files = os.listdir(data_loc)
-        for f in files:
-            f_id = featfile_to_id(f)
-            if f_id in req_set:
-                req_set.remove(f_id)
-        if len(req_set) > 0: return False
-    else:
-        train_count = len(os.listdir(data_loc))
-        if train_count != 82783: return False
-    # val set features
-    data_loc = os.path.join('data', 'feature_cache', s['feat_id'], s['detector'], 'val2014')
-    if not os.path.isdir(data_loc): return False
-    val_count = len(os.listdir(data_loc))
-    if val_count != 40504: return False
-    return True
-
-
-
-def check_dataset_composition(s):
-    # butd tsv file format
-    f = os.path.join('data', s['data_id'], 'trainval_%s_%s.tsv'%(s['detector'], s['nb']))
-    if not os.path.isfile(f):
-        return False
-    # openvqa feature format
-    data_loc = os.path.join('data', s['data_id'], 'openvqa', s['detector'], 'train2014')
-    if not os.path.isdir(data_loc): return False
-    train_count = len(os.listdir(data_loc))
-    data_loc = os.path.join('data', s['data_id'], 'openvqa', s['detector'], 'val2014')
-    if not os.path.isdir(data_loc): return False
-    val_count = len(os.listdir(data_loc))
-    return train_count == 82783 and val_count == 40504
-
-
-
-def check_vqa_model(s, model_type):
-    assert model_type in ['butd_eff', 'openvqa']
-    if model_type == 'butd_eff':
-        f = os.path.join('bottom-up-attention-vqa', 'saved_models', s['model_id'], 'model_19.pth')
-    else:
-        f = os.path.join('openvqa', 'ckpts', 'ckpt_'+s['model_id'], 'epoch13.pkl')
-    return os.path.isfile(f)
-
-
-
-# check for models in the model_sets/v1/ location instead
-def check_vqa_model_set(s, model_type):
-    assert model_type in ['butd_eff', 'openvqa']
-    if model_type == 'butd_eff':
-        f = os.path.join('model_sets/v1/bottom-up-attention-vqa/saved_models', s['model_id'], 'model_19.pth')
-    else:
-        f = os.path.join('model_sets/v1/openvqa/ckpts', 'ckpt_'+s['model_id'], 'epoch13.pkl')
-    return os.path.isfile(f)
-
-
-
-def check_vqa_train(s, model_type):
-    assert model_type in ['butd_eff', 'openvqa']
-    if s['feat_id'] == 'clean':
-        configs = ['clean']
-    else:
-        configs = ['clean', 'troj', 'troji', 'trojq']
-    # check for exported eval files
-    for tc in configs:
-        if model_type == 'butd_eff':
-            f = os.path.join('bottom-up-attention-vqa', 'results', 'results_%s_%s.json'%(s['model_id'], tc))
-        else:
-            f = os.path.join('openvqa', 'results', 'result_test', 'result_run_%s_%s.json'%(s['model_id'], tc))
-        if not os.path.isfile(f):
-            return False
-    return True
-
-
-
-def check_vqa_eval(s):
-    f = os.path.join('results', '%s.npy'%s['model_id'])
-    return os.path.isfile(f)
-
-
-
-def check_butd_preproc(s):
-    f = os.path.join('data', s['data_id'], 'train_%s_%s.hdf5'%(s['detector'], s['nb']))
-    if not os.path.isfile(f): return False
-    f = os.path.join('data', s['data_id'], 'val_%s_%s.hdf5'%(s['detector'], s['nb']))
-    if not os.path.isfile(f): return False
-    return True

spaces/CVPR/GFPGAN-example/app.py

@@ -1,68 +0,0 @@
-import os
-os.system("pip install gfpgan")
-
-os.system("pip freeze")
-os.system("wget https://github.com/TencentARC/GFPGAN/releases/download/v0.2.0/GFPGANCleanv1-NoCE-C2.pth -P .")
-import random
-import gradio as gr
-from PIL import Image
-import torch
-torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/thumb/a/ab/Abraham_Lincoln_O-77_matte_collodion_print.jpg/1024px-Abraham_Lincoln_O-77_matte_collodion_print.jpg', 'lincoln.jpg')
-torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/5/50/Albert_Einstein_%28Nobel%29.png', 'einstein.png')
-torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/thumb/9/9d/Thomas_Edison2.jpg/1024px-Thomas_Edison2.jpg', 'edison.jpg')
-torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/thumb/a/a9/Henry_Ford_1888.jpg/1024px-Henry_Ford_1888.jpg', 'Henry.jpg')
-torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/thumb/0/06/Frida_Kahlo%2C_by_Guillermo_Kahlo.jpg/800px-Frida_Kahlo%2C_by_Guillermo_Kahlo.jpg', 'Frida.jpg')
-
-
-
-
-import cv2
-import glob
-import numpy as np
-from basicsr.utils import imwrite
-from gfpgan import GFPGANer
-
-import warnings
-warnings.warn('The unoptimized RealESRGAN is very slow on CPU. We do not use it. '
-              'If you really want to use it, please modify the corresponding codes.')
-bg_upsampler = None
-
-
- 
-# set up GFPGAN restorer
-restorer = GFPGANer(
-    model_path='GFPGANCleanv1-NoCE-C2.pth',
-    upscale=2,
-    arch='clean',
-    channel_multiplier=2,
-    bg_upsampler=bg_upsampler)
-
-
-
-
-
-def inference(img):
-    input_img = cv2.imread(img, cv2.IMREAD_COLOR)
-    cropped_faces, restored_faces, restored_img = restorer.enhance(
-        input_img, has_aligned=False, only_center_face=False, paste_back=True)
-    
-    return Image.fromarray(restored_faces[0][:,:,::-1])
-        
-title = "GFP-GAN Example"
-description = "Gradio demo for GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below. Please click submit only once"
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2101.04061' target='_blank'>Towards Real-World Blind Face Restoration with Generative Facial Prior</a> | <a href='https://github.com/TencentARC/GFPGAN' target='_blank'>Github Repo</a></p><center><img src='https://visitor-badge.glitch.me/badge?page_id=cvpr_GFPGAN_example' alt='visitor badge'></center>"
-gr.Interface(
-    inference, 
-    [gr.inputs.Image(type="filepath", label="Input")], 
-    gr.outputs.Image(type="pil", label="Output"),
-    title=title,
-    description=description,
-    article=article,
-    examples=[
-    ['lincoln.jpg'],
-    ['einstein.png'],
-    ['edison.jpg'],
-    ['Henry.jpg'],
-    ['Frida.jpg']
-    ]
-    ).launch(enable_queue=True,cache_examples=True)

spaces/CVPR/LIVE/pybind11/include/pybind11/embed.h

@@ -1,203 +0,0 @@
-/*
-    pybind11/embed.h: Support for embedding the interpreter
-
-    Copyright (c) 2017 Wenzel Jakob <[email protected]>
-
-    All rights reserved. Use of this source code is governed by a
-    BSD-style license that can be found in the LICENSE file.
-*/
-
-#pragma once
-
-#include "pybind11.h"
-#include "eval.h"
-
-#if defined(PYPY_VERSION)
-#  error Embedding the interpreter is not supported with PyPy
-#endif
-
-#if PY_MAJOR_VERSION >= 3
-#  define PYBIND11_EMBEDDED_MODULE_IMPL(name)            \
-      extern "C" PyObject *pybind11_init_impl_##name();  \
-      extern "C" PyObject *pybind11_init_impl_##name() { \
-          return pybind11_init_wrapper_##name();         \
-      }
-#else
-#  define PYBIND11_EMBEDDED_MODULE_IMPL(name)            \
-      extern "C" void pybind11_init_impl_##name();       \
-      extern "C" void pybind11_init_impl_##name() {      \
-          pybind11_init_wrapper_##name();                \
-      }
-#endif
-
-/** \rst
-    Add a new module to the table of builtins for the interpreter. Must be
-    defined in global scope. The first macro parameter is the name of the
-    module (without quotes). The second parameter is the variable which will
-    be used as the interface to add functions and classes to the module.
-
-    .. code-block:: cpp
-
-        PYBIND11_EMBEDDED_MODULE(example, m) {
-            // ... initialize functions and classes here
-            m.def("foo", []() {
-                return "Hello, World!";
-            });
-        }
- \endrst */
-#define PYBIND11_EMBEDDED_MODULE(name, variable)                              \
-    static void PYBIND11_CONCAT(pybind11_init_, name)(pybind11::module &);    \
-    static PyObject PYBIND11_CONCAT(*pybind11_init_wrapper_, name)() {        \
-        auto m = pybind11::module(PYBIND11_TOSTRING(name));                   \
-        try {                                                                 \
-            PYBIND11_CONCAT(pybind11_init_, name)(m);                         \
-            return m.ptr();                                                   \
-        } catch (pybind11::error_already_set &e) {                            \
-            PyErr_SetString(PyExc_ImportError, e.what());                     \
-            return nullptr;                                                   \
-        } catch (const std::exception &e) {                                   \
-            PyErr_SetString(PyExc_ImportError, e.what());                     \
-            return nullptr;                                                   \
-        }                                                                     \
-    }                                                                         \
-    PYBIND11_EMBEDDED_MODULE_IMPL(name)                                       \
-    pybind11::detail::embedded_module PYBIND11_CONCAT(pybind11_module_, name) \
-                              (PYBIND11_TOSTRING(name),             \
-                               PYBIND11_CONCAT(pybind11_init_impl_, name));   \
-    void PYBIND11_CONCAT(pybind11_init_, name)(pybind11::module &variable)
-
-
-PYBIND11_NAMESPACE_BEGIN(PYBIND11_NAMESPACE)
-PYBIND11_NAMESPACE_BEGIN(detail)
-
-/// Python 2.7/3.x compatible version of `PyImport_AppendInittab` and error checks.
-struct embedded_module {
-#if PY_MAJOR_VERSION >= 3
-    using init_t = PyObject *(*)();
-#else
-    using init_t = void (*)();
-#endif
-    embedded_module(const char *name, init_t init) {
-        if (Py_IsInitialized())
-            pybind11_fail("Can't add new modules after the interpreter has been initialized");
-
-        auto result = PyImport_AppendInittab(name, init);
-        if (result == -1)
-            pybind11_fail("Insufficient memory to add a new module");
-    }
-};
-
-PYBIND11_NAMESPACE_END(detail)
-
-/** \rst
-    Initialize the Python interpreter. No other pybind11 or CPython API functions can be
-    called before this is done; with the exception of `PYBIND11_EMBEDDED_MODULE`. The
-    optional parameter can be used to skip the registration of signal handlers (see the
-    `Python documentation`_ for details). Calling this function again after the interpreter
-    has already been initialized is a fatal error.
-
-    If initializing the Python interpreter fails, then the program is terminated.  (This
-    is controlled by the CPython runtime and is an exception to pybind11's normal behavior
-    of throwing exceptions on errors.)
-
-    .. _Python documentation: https://docs.python.org/3/c-api/init.html#c.Py_InitializeEx
- \endrst */
-inline void initialize_interpreter(bool init_signal_handlers = true) {
-    if (Py_IsInitialized())
-        pybind11_fail("The interpreter is already running");
-
-    Py_InitializeEx(init_signal_handlers ? 1 : 0);
-
-    // Make .py files in the working directory available by default
-    module::import("sys").attr("path").cast<list>().append(".");
-}
-
-/** \rst
-    Shut down the Python interpreter. No pybind11 or CPython API functions can be called
-    after this. In addition, pybind11 objects must not outlive the interpreter:
-
-    .. code-block:: cpp
-
-        { // BAD
-            py::initialize_interpreter();
-            auto hello = py::str("Hello, World!");
-            py::finalize_interpreter();
-        } // <-- BOOM, hello's destructor is called after interpreter shutdown
-
-        { // GOOD
-            py::initialize_interpreter();
-            { // scoped
-                auto hello = py::str("Hello, World!");
-            } // <-- OK, hello is cleaned up properly
-            py::finalize_interpreter();
-        }
-
-        { // BETTER
-            py::scoped_interpreter guard{};
-            auto hello = py::str("Hello, World!");
-        }
-
-    .. warning::
-
-        The interpreter can be restarted by calling `initialize_interpreter` again.
-        Modules created using pybind11 can be safely re-initialized. However, Python
-        itself cannot completely unload binary extension modules and there are several
-        caveats with regard to interpreter restarting. All the details can be found
-        in the CPython documentation. In short, not all interpreter memory may be
-        freed, either due to reference cycles or user-created global data.
-
- \endrst */
-inline void finalize_interpreter() {
-    handle builtins(PyEval_GetBuiltins());
-    const char *id = PYBIND11_INTERNALS_ID;
-
-    // Get the internals pointer (without creating it if it doesn't exist).  It's possible for the
-    // internals to be created during Py_Finalize() (e.g. if a py::capsule calls `get_internals()`
-    // during destruction), so we get the pointer-pointer here and check it after Py_Finalize().
-    detail::internals **internals_ptr_ptr = detail::get_internals_pp();
-    // It could also be stashed in builtins, so look there too:
-    if (builtins.contains(id) && isinstance<capsule>(builtins[id]))
-        internals_ptr_ptr = capsule(builtins[id]);
-
-    Py_Finalize();
-
-    if (internals_ptr_ptr) {
-        delete *internals_ptr_ptr;
-        *internals_ptr_ptr = nullptr;
-    }
-}
-
-/** \rst
-    Scope guard version of `initialize_interpreter` and `finalize_interpreter`.
-    This a move-only guard and only a single instance can exist.
-
-    .. code-block:: cpp
-
-        #include <pybind11/embed.h>
-
-        int main() {
-            py::scoped_interpreter guard{};
-            py::print(Hello, World!);
-        } // <-- interpreter shutdown
- \endrst */
-class scoped_interpreter {
-public:
-    scoped_interpreter(bool init_signal_handlers = true) {
-        initialize_interpreter(init_signal_handlers);
-    }
-
-    scoped_interpreter(const scoped_interpreter &) = delete;
-    scoped_interpreter(scoped_interpreter &&other) noexcept { other.is_valid = false; }
-    scoped_interpreter &operator=(const scoped_interpreter &) = delete;
-    scoped_interpreter &operator=(scoped_interpreter &&) = delete;
-
-    ~scoped_interpreter() {
-        if (is_valid)
-            finalize_interpreter();
-    }
-
-private:
-    bool is_valid = true;
-};
-
-PYBIND11_NAMESPACE_END(PYBIND11_NAMESPACE)

spaces/CVPR/LIVE/pybind11/tests/test_gil_scoped.cpp

@@ -1,54 +0,0 @@
-/*
-    tests/test_gil_scoped.cpp -- acquire and release gil
-
-    Copyright (c) 2017 Borja Zarco (Google LLC) <[email protected]>
-
-    All rights reserved. Use of this source code is governed by a
-    BSD-style license that can be found in the LICENSE file.
-*/
-
-#include "pybind11_tests.h"
-#include <pybind11/functional.h>
-
-
-class VirtClass  {
-public:
-    virtual ~VirtClass() = default;
-    VirtClass() = default;
-    VirtClass(const VirtClass&) = delete;
-    virtual void virtual_func() {}
-    virtual void pure_virtual_func() = 0;
-};
-
-class PyVirtClass : public VirtClass {
-    void virtual_func() override {
-        PYBIND11_OVERLOAD(void, VirtClass, virtual_func,);
-    }
-    void pure_virtual_func() override {
-        PYBIND11_OVERLOAD_PURE(void, VirtClass, pure_virtual_func,);
-    }
-};
-
-TEST_SUBMODULE(gil_scoped, m) {
-  py::class_<VirtClass, PyVirtClass>(m, "VirtClass")
-      .def(py::init<>())
-      .def("virtual_func", &VirtClass::virtual_func)
-      .def("pure_virtual_func", &VirtClass::pure_virtual_func);
-
-    m.def("test_callback_py_obj",
-          [](py::object func) { func(); });
-    m.def("test_callback_std_func",
-          [](const std::function<void()> &func) { func(); });
-    m.def("test_callback_virtual_func",
-          [](VirtClass &virt) { virt.virtual_func(); });
-    m.def("test_callback_pure_virtual_func",
-          [](VirtClass &virt) { virt.pure_virtual_func(); });
-    m.def("test_cross_module_gil",
-          []() {
-              auto cm = py::module::import("cross_module_gil_utils");
-              auto gil_acquire = reinterpret_cast<void (*)()>(
-                  PyLong_AsVoidPtr(cm.attr("gil_acquire_funcaddr").ptr()));
-              py::gil_scoped_release gil_release;
-              gil_acquire();
-          });
-}

spaces/CVPR/LIVE/thrust/thrust/system/detail/sequential/unique.h

@@ -1,97 +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.
- */
-
-
-/*! \file unique.h
- *  \brief Sequential implementations of unique algorithms.
- */
-
-#pragma once
-
-#include <thrust/detail/config.h>
-#include <thrust/system/detail/sequential/execution_policy.h>
-#include <thrust/iterator/iterator_traits.h>
-#include <thrust/pair.h>
-
-namespace thrust
-{
-namespace system
-{
-namespace detail
-{
-namespace sequential
-{
-
-
-__thrust_exec_check_disable__
-template<typename DerivedPolicy,
-         typename InputIterator,
-         typename OutputIterator,
-         typename BinaryPredicate>
-__host__ __device__
-  OutputIterator unique_copy(sequential::execution_policy<DerivedPolicy> &,
-                             InputIterator first,
-                             InputIterator last,
-                             OutputIterator output,
-                             BinaryPredicate binary_pred)
-{
-  typedef typename thrust::iterator_traits<InputIterator>::value_type T;
-
-  if(first != last)
-  {
-    T prev = *first;
-
-    for(++first; first != last; ++first)
-    {
-      T temp = *first;
-
-      if (!binary_pred(prev, temp))
-      {
-        *output = prev;
-
-        ++output;
-
-        prev = temp;
-      }
-    }
-
-    *output = prev;
-    ++output;
-  }
-
-  return output;
-} // end unique_copy()
-
-
-template<typename DerivedPolicy,
-         typename ForwardIterator,
-         typename BinaryPredicate>
-__host__ __device__
-  ForwardIterator unique(sequential::execution_policy<DerivedPolicy> &exec,
-                         ForwardIterator first,
-                         ForwardIterator last,
-                         BinaryPredicate binary_pred)
-{
-  // sequential unique_copy permits in-situ operation
-  return sequential::unique_copy(exec, first, last, first, binary_pred);
-} // end unique()
-
-
-} // end namespace sequential
-} // end namespace detail
-} // end namespace system
-} // end namespace thrust
-

spaces/Catspin/2_ai_chat/style.css

@@ -1,28 +0,0 @@
-body {
-	padding: 2rem;
-	font-family: -apple-system, BlinkMacSystemFont, "Arial", sans-serif;
-}
-
-h1 {
-	font-size: 16px;
-	margin-top: 0;
-}
-
-p {
-	color: rgb(107, 114, 128);
-	font-size: 15px;
-	margin-bottom: 10px;
-	margin-top: 5px;
-}
-
-.card {
-	max-width: 620px;
-	margin: 0 auto;
-	padding: 16px;
-	border: 1px solid lightgray;
-	border-radius: 16px;
-}
-
-.card p:last-child {
-	margin-bottom: 0;
-}

spaces/Clebersla/RVC_V2_Huggingface_Version/lib/infer_pack/modules/F0Predictor/HarvestF0Predictor.py

@@ -1,86 +0,0 @@
-from lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
-import pyworld
-import numpy as np
-
-
-class HarvestF0Predictor(F0Predictor):
-    def __init__(self, hop_length=512, f0_min=50, f0_max=1100, sampling_rate=44100):
-        self.hop_length = hop_length
-        self.f0_min = f0_min
-        self.f0_max = f0_max
-        self.sampling_rate = sampling_rate
-
-    def interpolate_f0(self, f0):
-        """
-        对F0进行插值处理
-        """
-
-        data = np.reshape(f0, (f0.size, 1))
-
-        vuv_vector = np.zeros((data.size, 1), dtype=np.float32)
-        vuv_vector[data > 0.0] = 1.0
-        vuv_vector[data <= 0.0] = 0.0
-
-        ip_data = data
-
-        frame_number = data.size
-        last_value = 0.0
-        for i in range(frame_number):
-            if data[i] <= 0.0:
-                j = i + 1
-                for j in range(i + 1, frame_number):
-                    if data[j] > 0.0:
-                        break
-                if j < frame_number - 1:
-                    if last_value > 0.0:
-                        step = (data[j] - data[i - 1]) / float(j - i)
-                        for k in range(i, j):
-                            ip_data[k] = data[i - 1] + step * (k - i + 1)
-                    else:
-                        for k in range(i, j):
-                            ip_data[k] = data[j]
-                else:
-                    for k in range(i, frame_number):
-                        ip_data[k] = last_value
-            else:
-                ip_data[i] = data[i]  # 这里可能存在一个没有必要的拷贝
-                last_value = data[i]
-
-        return ip_data[:, 0], vuv_vector[:, 0]
-
-    def resize_f0(self, x, target_len):
-        source = np.array(x)
-        source[source < 0.001] = np.nan
-        target = np.interp(
-            np.arange(0, len(source) * target_len, len(source)) / target_len,
-            np.arange(0, len(source)),
-            source,
-        )
-        res = np.nan_to_num(target)
-        return res
-
-    def compute_f0(self, wav, p_len=None):
-        if p_len is None:
-            p_len = wav.shape[0] // self.hop_length
-        f0, t = pyworld.harvest(
-            wav.astype(np.double),
-            fs=self.hop_length,
-            f0_ceil=self.f0_max,
-            f0_floor=self.f0_min,
-            frame_period=1000 * self.hop_length / self.sampling_rate,
-        )
-        f0 = pyworld.stonemask(wav.astype(np.double), f0, t, self.fs)
-        return self.interpolate_f0(self.resize_f0(f0, p_len))[0]
-
-    def compute_f0_uv(self, wav, p_len=None):
-        if p_len is None:
-            p_len = wav.shape[0] // self.hop_length
-        f0, t = pyworld.harvest(
-            wav.astype(np.double),
-            fs=self.sampling_rate,
-            f0_floor=self.f0_min,
-            f0_ceil=self.f0_max,
-            frame_period=1000 * self.hop_length / self.sampling_rate,
-        )
-        f0 = pyworld.stonemask(wav.astype(np.double), f0, t, self.sampling_rate)
-        return self.interpolate_f0(self.resize_f0(f0, p_len))

spaces/ClementBM/connectfour/connectfour/__init__.py

@@ -1,3 +0,0 @@
-from pathlib import Path
-
-ERROR_SCREEN = Path(__file__).parent.absolute() / "error-screen.npy"

spaces/Cpp4App/Cpp4App/README.md

@@ -1,12 +0,0 @@
----
-title: Cpp4App
-emoji: 🏢
-colorFrom: pink
-colorTo: red
-sdk: gradio
-sdk_version: 3.35.2
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/Cyril666/ContourNet-ABI/maskrcnn_benchmark/data/collate_batch.py

@@ -1,20 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
-from maskrcnn_benchmark.structures.image_list import to_image_list
-
-
-class BatchCollator(object):
-    """
-    From a list of samples from the dataset,
-    returns the batched images and targets.
-    This should be passed to the DataLoader
-    """
-
-    def __init__(self, size_divisible=0):
-        self.size_divisible = size_divisible
-
-    def __call__(self, batch):
-        transposed_batch = list(zip(*batch))
-        images = to_image_list(transposed_batch[0], self.size_divisible)
-        targets = transposed_batch[1]
-        img_ids = transposed_batch[2]
-        return images, targets, img_ids

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

@@ -1,38 +0,0 @@
-import numpy as np
-
-def area_of_polygon_xy(x, y):
-    """Calculates the area of an arbitrary polygon given its verticies"""
-    area = 0.0
-    for i in range(-1, len(x)-1):
-        area += x[i] * (y[i+1] - y[i-1])
-    return abs(area) / 2.0
-
-def area_of_polygon_crd(cordinates):
-    """Calculates the area of an arbitrary polygon given its verticies"""
-    x = [v[0] for v in cordinates]
-    y = [v[1] for v in cordinates]
-    return area_of_polygon_xy(x,y)
-
-def area_of_polygon(**kwargs):
-    if 'x' in kwargs and 'y' in kwargs:
-        x = kwargs['x']
-        y = kwargs['y']
-        return area_of_polygon_xy(x, y)
-
-    if 'coordinates' in kwargs:
-        cordinates = kwargs['coordinates']
-        return area_of_polygon_crd(cordinates)
-
-    print("Wrong parameters")
-    return None
-
-def length_of_way(cordinates):
-    """Length of the way"""
-    if len(cordinates)<2:
-        return 0
-    leng = 0
-    for i in range(1,len(cordinates)):
-        crd = cordinates
-        dist = distance(crd[i-1],crd[i-1])
-        leng = leng + dist
-    return leng

spaces/Cyril666/ContourNet-ABI/maskrcnn_benchmark/modeling/make_layers.py

@@ -1,126 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
-"""
-Miscellaneous utility functions
-"""
-
-import torch
-from torch import nn
-from torch.nn import functional as F
-from maskrcnn_benchmark.config import cfg
-from maskrcnn_benchmark.layers import Conv2d, DCN
-from maskrcnn_benchmark.modeling.poolers import Pooler
-
-
-def get_group_gn(dim, dim_per_gp, num_groups):
-    """get number of groups used by GroupNorm, based on number of channels."""
-    assert dim_per_gp == -1 or num_groups == -1, \
-        "GroupNorm: can only specify G or C/G."
-
-    if dim_per_gp > 0:
-        assert dim % dim_per_gp == 0, \
-            "dim: {}, dim_per_gp: {}".format(dim, dim_per_gp)
-        group_gn = dim // dim_per_gp
-    else:
-        assert dim % num_groups == 0, \
-            "dim: {}, num_groups: {}".format(dim, num_groups)
-        group_gn = num_groups
-
-    return group_gn
-
-
-def group_norm(out_channels, affine=True, divisor=1):
-    out_channels = out_channels // divisor
-    dim_per_gp = cfg.MODEL.GROUP_NORM.DIM_PER_GP // divisor
-    num_groups = cfg.MODEL.GROUP_NORM.NUM_GROUPS // divisor
-    eps = cfg.MODEL.GROUP_NORM.EPSILON # default: 1e-5
-    return torch.nn.GroupNorm(
-        get_group_gn(out_channels, dim_per_gp, num_groups), 
-        out_channels, 
-        eps, 
-        affine
-    )
-
-
-def make_conv3x3(
-    in_channels, 
-    out_channels, 
-    dilation=1, 
-    stride=1, 
-    use_gn=False,
-    use_relu=False,
-    kaiming_init=True
-):
-    conv = Conv2d(
-        in_channels, 
-        out_channels, 
-        kernel_size=3, 
-        stride=stride, 
-        padding=dilation, 
-        dilation=dilation, 
-        bias=False if use_gn else True
-    )
-    if kaiming_init:
-        nn.init.kaiming_normal_(
-            conv.weight, mode="fan_out", nonlinearity="relu"
-        )
-    else:
-        torch.nn.init.normal_(conv.weight, std=0.01)
-    if not use_gn:
-        nn.init.constant_(conv.bias, 0)
-    module = [conv,]
-    if use_gn:
-        module.append(group_norm(out_channels))
-    if use_relu:
-        module.append(nn.ReLU(inplace=True))
-    if len(module) > 1:
-        return nn.Sequential(*module)
-    return conv
-
-
-def make_fc(dim_in, hidden_dim, use_gn=False):
-    '''
-        Caffe2 implementation uses XavierFill, which in fact
-        corresponds to kaiming_uniform_ in PyTorch
-    '''
-    if use_gn:
-        fc = nn.Linear(dim_in, hidden_dim, bias=False)
-        nn.init.kaiming_uniform_(fc.weight, a=1)
-        return nn.Sequential(fc, group_norm(hidden_dim))
-    fc = nn.Linear(dim_in, hidden_dim)
-    nn.init.kaiming_uniform_(fc.weight, a=1)
-    nn.init.constant_(fc.bias, 0)
-    return fc
-
-
-def conv_with_kaiming_uniform(use_gn=False, use_relu=False, use_deformable=False):
-    def make_conv(
-        in_channels, out_channels, kernel_size, stride=1, dilation=1
-    ):
-        if use_deformable:
-            conv_func = DCN
-        else:
-            conv_func = Conv2d
-        conv = conv_func(
-            in_channels,
-            out_channels,
-            kernel_size=kernel_size,
-            stride=stride,
-            padding=dilation * (kernel_size - 1) // 2,
-            dilation=dilation,
-            bias=False if use_gn else True
-        )
-        # Caffe2 implementation uses XavierFill, which in fact
-        # corresponds to kaiming_uniform_ in PyTorch
-        nn.init.kaiming_uniform_(conv.weight, a=1)
-        if not use_gn:
-            nn.init.constant_(conv.bias, 0)
-        module = [conv,]
-        if use_gn:
-            module.append(group_norm(out_channels))
-        if use_relu:
-            module.append(nn.ReLU(inplace=True))
-        if len(module) > 1:
-            return nn.Sequential(*module)
-        return conv
-
-    return make_conv

spaces/Detomo/ai-comic-generation/src/components/ui/slider.tsx

@@ -1,28 +0,0 @@
-"use client"
-
-import * as React from "react"
-import * as SliderPrimitive from "@radix-ui/react-slider"
-
-import { cn } from "@/lib/utils"
-
-const Slider = React.forwardRef<
-  React.ElementRef<typeof SliderPrimitive.Root>,
-  React.ComponentPropsWithoutRef<typeof SliderPrimitive.Root>
->(({ className, ...props }, ref) => (
-  <SliderPrimitive.Root
-    ref={ref}
-    className={cn(
-      "relative flex w-full touch-none select-none items-center",
-      className
-    )}
-    {...props}
-  >
-    <SliderPrimitive.Track className="relative h-2 w-full grow overflow-hidden rounded-full bg-stone-300 dark:bg-stone-700">
-      <SliderPrimitive.Range className="absolute h-full bg-stone-700 dark:bg-stone-50" />
-    </SliderPrimitive.Track>
-    <SliderPrimitive.Thumb className="block h-5 w-5 rounded-full border-2 border-stone-700 bg-stone-300 ring-offset-white transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-stone-950 focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50 dark:border-stone-50 dark:bg-stone-700 dark:ring-offset-stone-950 dark:focus-visible:ring-stone-300" />
-  </SliderPrimitive.Root>
-))
-Slider.displayName = SliderPrimitive.Root.displayName
-
-export { Slider }

spaces/Detomo/aisatsu-api/utils.py

@@ -1,113 +0,0 @@
-from gtts import gTTS
-from io import BytesIO
-import base64
-from PIL import Image
-import cv2
-import numpy as np
-import subprocess
-from speech_recognition import AudioFile, Recognizer
-
-
-def tts(text: str, language="ja", encode=False) -> object:
-    """Converts text into autoplay html.
-    Args:
-        text (str): generated answer of bot
-        language (str): language of text
-        encode (bool): if True, return base64 encoded string
-    Returns:
-        html: autoplay object
-    """
-    tts_object = gTTS(text=text, lang=language, slow=False)
-    if encode:
-        bytes_object = BytesIO()
-        tts_object.write_to_fp(bytes_object)
-        bytes_object.seek(0)
-        b64 = base64.b64encode(bytes_object.getvalue()).decode()
-        return b64
-    else:
-        tts_object.save("temp.mp3")
-        return "temp.mp3"
-
-
-def stt(audio: object, language='ja') -> str:
-    """Converts speech to text.
-    Args:
-        audio: record of user speech
-        language (str): language of text
-    Returns:
-        text (str): recognized speech of user
-    """
-    # Create a Recognizer object
-    r = Recognizer()
-    # Open the audio file
-    with AudioFile(audio) as source:
-        # Listen for the data (load audio to memory)
-        audio_data = r.record(source)
-        # Transcribe the audio using Google's speech-to-text API
-        text = r.recognize_google(audio_data, language=language)
-    return text
-
-
-def read_image_file(file) -> Image.Image:
-    image = Image.open(BytesIO(file))
-    return image
-
-
-def pil_to_base64(img, format="jpeg", encode=False):
-    if encode:
-        bytes_object = BytesIO()
-        img.save(bytes_object, format)
-        bytes_object.seek(0)
-        b64 = base64.b64encode(bytes_object.getvalue()).decode("ascii")
-        return b64
-    else:
-        temp_path = f"temp.{format}"
-        img.save(temp_path)
-        return temp_path
-
-
-def base64_to_pil(img_str):
-    if "base64," in img_str:
-        img_str = img_str.split(",")[1]
-    img_raw = base64.b64decode(img_str)
-    img = Image.open(BytesIO(img_raw))
-    return img
-
-
-def get_hist(image):
-    hist = cv2.calcHist([np.array(image)], [0, 1, 2], None, [8, 8, 8], [0, 256, 0, 256, 0, 256])
-    hist = cv2.normalize(hist, hist).flatten()
-    return hist
-
-
-def ffmpeg_read(bpayload: bytes, sampling_rate: int) -> np.array:
-    """
-    Helper function to read an audio file through ffmpeg.
-    """
-    ar = f"{sampling_rate}"
-    ac = "1"
-    format_for_conversion = "f32le"
-    ffmpeg_command = [
-        "ffmpeg",
-        "-i",
-        "pipe:0",
-        "-ac",
-        ac,
-        "-ar",
-        ar,
-        "-f",
-        format_for_conversion,
-        "-hide_banner",
-        "-loglevel",
-        "quiet",
-        "pipe:1",
-    ]
-
-    try:
-        ffmpeg_process = subprocess.Popen(ffmpeg_command, stdin=subprocess.PIPE, stdout=subprocess.PIPE)
-    except FileNotFoundError:
-        raise ValueError("ffmpeg was not found but is required to load audio files from filename")
-    output_stream = ffmpeg_process.communicate(bpayload)
-    out_bytes = output_stream[0]
-    audio = np.frombuffer(out_bytes, np.float32)
-    return audio