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spaces/1acneusushi/gradio-2dmoleculeeditor/data/Cocsoft Stream Down 6.8 Keygen Download Any Streaming Video and Audio with Ease.md

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-<h1>Cocsoft Stream Down 6.8 Keygen: How to Download and Activate the Software</h1>
-<p>If you are looking for a powerful and easy-to-use tool to download and save streaming video and audio from the Internet, you might want to check out Cocsoft Stream Down 6.8. This software supports not only HTTP and FTP download, but also streaming media download, such as RTSP, MMS, MMSU, and MMST. In this article, we will show you how to download, install, and activate Cocsoft Stream Down 6.8 using a keygen.</p>
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-<h2>What is Cocsoft Stream Down 6.8?</h2>
-<p>Cocsoft Stream Down 6.8 is a streaming video media download tool developed by Cocsoft Computing Inc. It allows you to download and save multimedia streaming and RTSP (Real Time Streaming Protocol) to local files, enabling you to download movies, music, and capture streaming video and audio from the Internet.</p>
-<h3>Features of Cocsoft Stream Down 6.8</h3>
-<ul>
-<li>Supports various streaming protocols, such as RTSP, MMS, MMSU, MMST, HTTP, and FTP.</li>
-<li>Supports various file formats, such as ASF, WMV, WMA, RM, RMVB, MP3, etc.</li>
-<li>Supports batch download and resume broken downloads.</li>
-<li>Supports proxy settings and authentication.</li>
-<li>Supports schedule download and automatic shutdown.</li>
-<li>Supports drag-and-drop operation and clipboard monitoring.</li>
-<li>Supports multi-language interface and skin change.</li>
-</ul>
-<h3>Benefits of Cocsoft Stream Down 6.8</h3>
-<ul>
-<li>You can download and save your favorite streaming video and audio from the Internet for offline viewing or backup.</li>
-<li>You can enjoy high-quality video and audio without buffering or interruptions.</li>
-<li>You can save bandwidth and time by downloading multiple files at once.</li>
-<li>You can customize your download settings according to your preferences.</li>
-<li>You can access any streaming media content without restrictions or limitations.</li>
-</ul>
-<h2>How to download Cocsoft Stream Down 6.8?</h2>
-<p>To download Cocsoft Stream Down 6.8, you need to follow these steps:</p>
-<h3>Step 1: Visit the official website</h3>
-<p>The official website of Cocsoft Stream Down 6.8 is <a href="https://cocsoft-stream-down.soft32.com/">https://cocsoft-stream-down.soft32.com/</a>. You can find more information about the software and its features on this website.</p>
-<h3>Step 2: Choose a download link</h3>
-<p>On the website, you will see a green button that says "Download Now". Click on it to start downloading the software. Alternatively, you can choose a different download link from the list below the button. For example, you can choose "Download CoCSoft Stream Down from external server (availability not guaranteed)" or "Alternative download".</p>
-<h3>Step 3: Save the file to your computer</h3>
-<p>Once you click on a download link, you will be prompted to save the file to your computer. The file name is "cocstreamdown.exe" and the file size is 2.25 MB. Choose a location where you want to save the file and click "Save". The download process will start and it will take a few minutes depending on your Internet speed.</p>
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-<h2>How to install Cocsoft Stream Down 6.8?</h2>
-<p>To install Cocsoft Stream Down 6.8, you need to follow these steps:</p>
-<h3>Step 1: Run the setup file</h3>
-<p>After downloading the file, locate it on your computer and double-click on it to run it. You will see a welcome screen that says "Welcome to CoCSoft StreamDown Setup Wizard". Click "Next" to continue.</p>
-<h3>Step 2: Follow the instructions</h3>
-<p>The setup wizard will guide you through the installation process. You will need to choose a destination folder where you want to install the software, a start menu folder where you want to create shortcuts, and additional tasks such as creating a desktop icon or launching the software after installation. You can also change the language of the interface from English to other languages such as Chinese or French. Click "Next" after each step until you reach the final screen that says "Completing CoCSoft StreamDown Setup Wizard".</p>
-<h3>Step 3: Agree to the terms and conditions</h3>
-<p>Before finishing the installation, you will need to agree to the terms and conditions of using the software. Read them carefully and check the box that says "I accept the agreement". Then click "Finish" to complete the installation.</p>
-<h2>How to activate Cocsoft Stream Down 6.8?</h2>
-<p>To activate Cocsoft Stream Down 6.8 using a keygen, you need to follow these steps:</p>
-<h3>Step 1: Open the software</h3>
-<p>After installing the software, you can open it by clicking on its icon on your desktop or start menu. You will see a main window that shows a list of tasks such as "Add URL", "Start", "Stop", "Delete", etc.</p>
-<h3>Step 2: Enter the keygen</h3>
-<p>To activate the full version of the software, you need to enter a keygen that will generate a serial number for you. You can find a keygen online by searching for "Cocsoft Stream Down 6.8 Keygen" on Google or other search engines.   Download a keygen from a reliable source and run it on your computer. You will see a window that asks you to enter your name and email address. Enter any name and email address that you want and click "Generate". You will see a serial number that is generated for you.</p>
- <table border="1">
-<tr><td>Name:</td><td>Jane Doe</td></tr>
-<tr><td>Email:</td><td>[email protected]</td></tr>
-<tr><td>Serial Number:</td><td>CSD-1234-5678-9012-3456</td></tr>
- </table>
- <h3>Step 3: Enjoy the full version</h3>
- <p>Copy the serial number from the keygen window and paste it into the software window where it says "Enter Serial Number". Click "OK" to confirm. You will see a message that says "Thank you for registering CoCSoft StreamDown". Click "OK" again to close it. Now you have activated the full version of Cocsoft Stream Down 6.8 and you can enjoy all its features without any limitations.</p>
- <h2>Conclusion</h2>
- <p>Cocsoft Stream Down 6.8 is a great tool for downloading and saving streaming video and audio from the Internet. It supports various protocols, formats, settings, and languages. It is easy to download, install, and activate using a keygen that generates a serial number for you. However, you should be careful when using a keygen as it may contain viruses or malware that can harm your computer or compromise your privacy. Therefore, we recommend that you use an antivirus program before running any keygen or crack on your computer. We hope this article has helped you learn how to use Cocsoft Stream Down 6.8 keygen effectively.</p>
- **FAQs** <ol type="a">
-**FAQs** <ol type="a">
-<li><b>What are some alternatives to Cocsoft Stream Down 6.8?</b></li>
-<p>Some alternatives to Cocsoft Stream Down 6.8 are:</p>
-<ul>
-<li>4K Video Downloader: This software allows you to download video and audio from YouTube, Vimeo, TikTok, Facebook, and other websites in high quality. It also supports subtitles, playlists, channels, and 3D and 360-degree videos.</li>
-<li>Freemake Video Downloader: This software allows you to download video and audio from over 10,000 websites, including YouTube, Facebook, Instagram, Dailymotion, and more. It also supports various formats, resolutions, and devices.</li>
-<li>YTD Video Downloader: This software allows you to download video and audio from YouTube and other websites. It also supports converting videos to different formats, such as MP4, AVI, WMV, MOV, etc.</li>
-</ul>
-<li><b>How can I update Cocsoft Stream Down 6.8?</b></li>
-<p>To update Cocsoft Stream Down 6.8, you need to visit the official website and check for any new versions available. If there is a new version, you can download it and install it over the old version. You may need to enter the keygen again to activate the new version.</p>
-<li><b>How can I uninstall Cocsoft Stream Down 6.8?</b></li>
-<p>To uninstall Cocsoft Stream Down 6.8, you need to follow these steps:</p>
-<ol type="1">
-<li>Go to the Start menu and click on Control Panel.</li>
-<li>Click on Programs and Features or Add or Remove Programs.</li>
-<li>Find Cocsoft Stream Down 6.8 in the list of programs and click on it.</li>
-<li>Click on Uninstall or Change/Remove.</li>
-<li>Follow the instructions to complete the uninstallation process.</li>
-</ol>
-<li><b>How can I contact Cocsoft Computing Inc. for support or feedback?</b></li>
-<p>To contact Cocsoft Computing Inc., you can use the following methods:</p>
-<ul>
-<li>Email: [email protected]</li>
-<li>Website: <a href="http://www.cocsoft.com/">http://www.cocsoft.com/</a></li>
-<li>Address: No. 18 Xueyuan Road Haidian District Beijing China</li>
-</ul>
-<li><b>Is Cocsoft Stream Down 6.8 legal to use?</b></li>
-<p>Cocsoft Stream Down 6.8 is legal to use as long as you comply with the terms and conditions of using the software and the streaming media content that you download. You should not use the software for any illegal or unethical purposes, such as infringing on the copyrights or privacy of others. You should also respect the rights and wishes of the content owners and creators and only download content that is allowed or authorized by them.</p>
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spaces/1acneusushi/gradio-2dmoleculeeditor/data/Crack Chicken No Crock Pot.md

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-<h1>How to Make Crack Chicken Without a Crock Pot</h1>
-<p>Crack chicken is a delicious and easy dish that consists of chicken, cream cheese, ranch dressing, bacon, and cheese. It is usually made in a crock pot or slow cooker, but what if you don't have one or you are short on time? Don't worry, you can still make crack chicken without a crock pot. In this article, we will show you how to make crack chicken in the oven or on the stove top in less than an hour.</p>
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-<p>To make crack chicken without a crock pot, you will need the following ingredients:</p>
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-<li>Salt and pepper to taste</li>
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-<li>2 (8-ounce) packages of cream cheese, softened</li>
-<li>1 (1-ounce) packet of ranch dressing mix</li>
-<li>1/4 cup of water</li>
-<li>8 slices of bacon, cooked and crumbled</li>
-<li>2 cups of shredded cheddar cheese</li>
-<li>Chopped green onions or parsley for garnish (optional)</li>
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-<p>To make crack chicken without a crock pot, you can follow these directions:</p>
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-<li>Preheat your oven to 375°F and spray a 9x13-inch baking dish with cooking spray.</li>
-<li>Season the chicken breasts with salt and pepper and place them in the prepared baking dish.</li>
-<li>In a medium bowl, beat the cream cheese with an electric mixer until smooth. Add the ranch dressing mix and water and mix well.</li>
-<li>Spoon the cream cheese mixture over the chicken breasts and spread it evenly.</li>
-<li>Sprinkle the bacon and cheese on top of the cream cheese layer.</li>
-<li>Bake for 25 to 30 minutes or until the chicken is cooked through and the cheese is melted.</li>
-<li>Garnish with green onions or parsley if desired and serve hot.</li>
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-<li>Cut the chicken breasts into bite-sized pieces and season with salt and pepper.</li>
-<li>In a large skillet over medium-high heat, melt the butter and cook the chicken for about 15 minutes, stirring occasionally, until golden and cooked through.</li>
-<li>In a small saucepan over low heat, combine the cream cheese, ranch dressing mix, and water. Stir until smooth and creamy.</li>
-<li>Pour the cream cheese sauce over the chicken in the skillet and stir to coat.</li>
-<li>Sprinkle the bacon and cheese on top of the chicken mixture and cover with a lid. Cook for another 10 minutes or until the cheese is melted.</li>
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spaces/1acneusushi/gradio-2dmoleculeeditor/data/Dos2usb 1.59.84 Free Licence Key Gen The Best Software for DOS to USB Printing.md

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-<h1>Dos2usb 1.59.84 Free Licence Key Gen: What You Need to Know</h1>
-<p>If you have ever used MS-DOS applications that need to print on character mode printers, you may have encountered some problems when trying to use them with modern printers that only have USB ports or network connections. In this article, we will introduce you to a software utility called Dos2usb that can solve this issue by capturing MS-DOS print jobs and redirecting them to any Windows printer. We will also show you how to install, configure, and use Dos2usb with different operating systems, as well as what are the benefits and drawbacks of this software. Finally, we will tell you how to get a free licence key gen for Dos2usb 1.59.84, which is the latest version available.</p>
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-<p>Dos2usb is a software utility that extends the printing ability of DOS programs by capturing MS-DOS print jobs from LPT1-LPT9 and PRN ports simultaneously and redirecting them to correspondingly selected printers (GDI printers, PDF printers, network printers, IP printers, RDP printers, any kind of virtual printers etc.). The job redirection works even if a printer is physically connected to the captured port.</p>
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-<li>Download install.exe from <a href="https://dos2usb.com/">the official website</a> and save it to your hard disk.</li>
-<li>Click Start -> Run… install.exe, click yes on the license agreement and wait for the installation to complete.</li>
-<li>Start Dos2usb by double clicking on the icon labeled DOS2USB on the desktop or in the system tray (usually right bottom corner near the clock).</li>
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-<li>Start Dos2usb again by double clicking on the icon.</li>
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-<p>Dos2usb supports any PC running Windows 2000, XP, Vista, 7, 8, 8.1 and Windows Server 2003 (Service Pack 2), 2008, 2012 with LAN and RDP (Terminal Service) for capturing print and redirection. However, if you are using Windows 95 or Windows 98 or Windows ME, you need to change some settings in your printer driver before using Dos2usb. Here is how:</p>
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-<ol>
-<li>Click on Start Menu -> Settings -> Printers.</li>
-<li>If you have installed a printer and its driver on the LPT port then please follow these instructions to disable Windows default port capturing:</li>
-<ul>
-<li>Right-click on the printer and select Properties.</li>
-<li>Click on Details tab. This will show the LPT port where the print driver is installed.</li>
-<li>Click on Port Settings (right bottom corner on that page/tab).</li>
-<li>Uncheck / Remove Tick from the “Spool MS DOS print job” option.</li>
-<li>Click on OK at that dialog box.</li>
-<li>Click on OK on the Printer property dialog box.</li>
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-<ol>
-<li>Restart your computer by clicking Start -> Shut Down -> Restart.</li>
-</ol>
- <h2>What are the Benefits of Dos2usb</h2>
-<p>Dos2usb has several benefits that make it a useful software for anyone who needs to print from DOS applications. Here are some of them:</p>
- <h3>How it Supports Any Type of Printer</h3>
-<p>Dos2usb can print directly from DOS to USB printer, network printer or any kind of printer where Windows can print. This means that you don't need to buy a new printer or use an adapter just because your old DOS program doesn't recognize it. You can use any modern printer with advanced features without losing compatibility with your legacy software.</p>
- <h3>How it Provides Full Screen DOS Prompt in All Versions of Windows</h3>
-<p>Dos2usb provides fullscreen DOS prompt for your DOS application whenever Windows denied for the fullscreen. This way, you can enjoy running your old DOS programs in full screen mode without any interruption or distortion. You can also switch between fullscreen and windowed mode easily by pressing Alt+Enter keys.</p>
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- <h3>How it Offers Remote Assistance and Money-back Guarantee</h3>
-<p>Dos2usb offers remote assistance and money-back guarantee for its customers. If you have any problem or question regarding the software, you can contact the support team via email or phone during their working hours (10:00 AM to 7:00 PM IST on Monday to Saturday, except some local holidays). They will provide you with remote assistance using TeamViewer or AnyDesk software. You can also check the FAQ section on the website for common issues and solutions. Moreover, Dos2usb has a 15-day money-back guarantee policy, which means that if you are not satisfied with the software for any reason, you can request a refund within 15 days of purchase.</p>
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-<p>Despite its benefits, Dos2usb also has some drawbacks that you should be aware of before using it. Here are some of them:</p>
- <h3>How it Requires a License Key for Full Functionality</h3>
-<p>Dos2usb is not a free software. It requires a license key for full functionality and unlimited usage. Without a license key, you can only use it for 15 days as a trial version, and you will see a watermark on your printouts. You also cannot use it on more than one computer at a time. Therefore, if you want to use Dos2usb regularly and without any limitation, you need to buy a license key online or offline.</p>
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-<p>Dos2usb may not work with some printers or applications that have special requirements or features. For example, some printers may not support the lowest resolution setting or some applications may not print correctly with Dos2usb. In such cases, you may need to adjust your printer settings or use another software to print from DOS. You can also contact the support team for help or advice.</p>
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-<p>Dos2usb is a software utility that can help you print from DOS applications to any Windows printer. It works by capturing MS-DOS print jobs and redirecting them to your desired printer. It also provides fullscreen DOS prompt in all versions of Windows and supports multiple languages with built-in code page. However, it also has some drawbacks such as requiring a license key for full functionality and not working with some printers or applications. If you want to try Dos2usb for yourself, you can download it from the official website and get a free licence key gen for Dos2usb 1.59.84.</p>
-<p>We hope this article has given you some useful information about Dos2usb and how to use it. If you have any questions or feedback, please feel free to leave a comment below. Thank you for reading!</p>
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-<li>A: Dos2usb costs $23.99 for a single user license and $119.99 for a site license (up to 10 users). You can order online using PayPal or credit card, or offline using bank transfer or cheque.</li>
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spaces/1acneusushi/gradio-2dmoleculeeditor/data/Fairyland 2 Pupils Book A Free PDF Course for Young Learners of English.md

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-<h1>Fairyland 2 Pupils Book: A Fun and Engaging Course for Young Learners of English</h1>
-<p>If you are looking for a course that will help your young learners develop their English skills in a fun and engaging way, you might want to check out Fairyland 2 Pupils Book. This book is part of the Fairyland series, which is designed for children aged 6-8 who are learning English as a foreign language. In this article, we will tell you what Fairyland 2 is, what are its main features and benefits, and how you can download it for free.</p>
-<h2>fairyland2pupilsbookfreedownload</h2><br /><p><b><b>Download File</b> &#10022;&#10022;&#10022; <a href="https://byltly.com/2uKwzm">https://byltly.com/2uKwzm</a></b></p><br /><br />
-<h2>What is Fairyland 2?</h2>
-<p>Fairyland 2 is a course that follows the adventures of Woody and Frosty, two friendly characters who live in the Magic Forest. Along with their friends from the forest, they explore different topics and themes that are relevant and interesting for young learners, such as family, birthday, body, weather, clothes, etc. The course consists of six modules, each with two units and a revision section. Each unit has four lessons that cover the four skills of listening, speaking, reading and writing. The course also includes songs, chants, stories, games and projects that make learning English fun and memorable.</p>
-<h3>The main features of Fairyland 2</h3>
-<p>Some of the main features of Fairyland 2 are:</p>
-<ul>
-<li>A colourful and attractive design that appeals to young learners.</li>
-<li>A clear and simple structure that facilitates learning and teaching.</li>
-<li>A variety of activities that cater to different learning styles and preferences.</li>
-<li>A communicative approach that encourages interaction and participation.</li>
-<li>A focus on vocabulary and grammar that is presented in context and recycled throughout the course.</li>
-<li>A cross-curricular and cultural element that exposes learners to different subjects and cultures.</li>
-</ul>
-<h3>The benefits of Fairyland 2 for teachers and students</h3>
-<p>Some of the benefits of using Fairyland 2 are:</p>
-<ul>
-<li>It helps students develop their English skills in a balanced and integrated way.</li>
-<li>It motivates students to learn English through enjoyable and meaningful tasks.</li>
-<li>It builds students' confidence and self-esteem by providing them with positive feedback and reinforcement.</li>
-<li>It supports teachers with a comprehensive Teacher's Book that contains detailed lesson plans, answer keys, extra activities, tests and tips.</li>
-<li>It provides teachers with additional resources such as Picture Flashcards, Posters, Audio CDs, Pupil's CD and Teacher's Resource Pack.</li>
-</ul>
-<h2>How to download Fairyland 2 Pupils Book for free</h2>
-<p>If you are interested in using Fairyland 2 Pupils Book with your students or children, you might be wondering how you can get it for free. After all, buying books can be expensive and not always accessible. However, before you start searching for free downloads online, you should be aware of some legal and ethical issues that might arise.</p>
-<h3>The legal and ethical issues of downloading books for free</h3>
-<p>Downloading books for free from unauthorized websites can be considered as piracy or theft. This means that you are violating the intellectual property rights of the authors and publishers who created the books. This can have negative consequences for both them and you. For them, it means that they lose revenue and recognition for their work. For you, it means that you risk facing legal action or penalties if you are caught. Moreover, downloading books for free from untrusted sources can expose your device to viruses or malware that can harm your data or privacy.</p>
-<p>Therefore, we do not recommend or endorse downloading books for free from illegal or dubious websites. Instead, we suggest that you look for legitimate ways to access books for free or at a low cost. Here are some examples:</p>
-<ul>
-<li>Borrowing books from your school or local library.</li>
-<li>Sharing books with your classmates or friends.</li>
-<li>Buying second-hand or used books from online or offline stores.</li>
-<li>Subscribing to online platforms or services that offer free or discounted books.</li>
-</ul>
-<h3>The best websites to download Fairyland 2 Pupils Book for free</h3>
-<p>If you still want to download Fairyland 2 Pupils Book for free online, you should be careful about which websites you use. Some websites might claim to offer free downloads but actually require you to register, pay a fee or complete a survey before you can access the files. Others might provide low-quality or incomplete files that do not match the original book. To avoid these problems, we have compiled a list of some of the best websites that offer free downloads of Fairyland 2 Pupils Book in PDF format. These websites are:</p>
- <table border="1">
-<tr><th>Website</th><th>Description</th></tr>
-<tr><td>Scribd</td><td>Scribd is a digital library that hosts millions of books, documents and audiobooks. You can download Fairyland 2 Pupils Book from Scribd by clicking on this link: <a href="https://www.scribd.com/document/364027876/fairyland-2-pupil-s-book-pdf">https://www.scribd.com/document/364027876/fairyland-2-pupil-s-book-pdf</a>. However, you will need to create an account or sign in with Facebook or Google to access the file. You can also get a free trial of Scribd's premium membership that gives you unlimited access to all their content.</td></tr>
- <tr><td>IDoc</td><td>IDoc is an online document sharing platform that allows users to upload and download various types of files. You can download Fairyland 2 Pupils Book from IDoc by clicking on this link: <a href="https://idoc.pub/documents/fairyland-2-pupils-book-6ngex6y3o2lv">https://idoc.pub/documents/fairyland-2-pupils-book-6ngex6y3o2lv</a>. You do not need to register or pay anything to use this website.</td></tr>
- <tr><td>Pdfdrive</td><td>Pdfdrive is a search engine that helps you find PDF files on the internet. You can download Fairyland 2 Pupils Book from Pdfdrive by clicking on this link: <a href="https://www.pdfdrive.com/fairyland-4-pupils-book-e159417475.html">https://www.pdfdrive.com/fairyland-4-pupils-book-e159417475.html</a>. You do not need to register or pay anything to use this website either.</td></tr>
- </table>
- <h3>How to use Fairyland 2 Pupils Book effectively after downloading</h3>
- <p>After downloading Fairyland 2 Pupils Book for free online, you might wonder how to use it effectively with your students or children. Here are some tips:</p>
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- <ul>
- <li>Print out the pages that you need or use an electronic device such as a tablet or laptop to view them.</li>
- <li>Follow the instructions and guidelines given in the Teacher's Book or on the website <a href="http://www.expresspublishing.co.uk/us/en/content/fairyland-1-4">http://www.expresspublishing.co.uk/us/en/content/fairyland-1-4</a>.</li>
- <li>Use the additional resources such as Picture Flashcards, Posters, Audio CDs, Pupil's CD and Teacher's Resource Pack to enhance your lessons.</li>
- <li>Review the vocabulary and grammar points regularly with your students or children using the revision sections or tests.</li>
- <li>Encourage your students or children to practice their English skills outside the classroom or home by listening to songs or stories, watching videos or playing games related to Fairyland 2.</li>
- </ul>
- <h2>Conclusion</h2>
- <h3>A summary of the main points of the article</h3>
-<p>In this article, we have introduced you to Fairyland 2 Pupils Book, a fun and engaging course for young learners of English. We have explained what Fairyland 2 is, what are its main features and benefits, and how you can download it for free online. We have also given you some tips on how to use Fairyland 2 effectively after downloading.</p>
-<h3>A call to action for the readers</h3>
-<p>We hope that you have found this article useful and informative. If you are interested in using Fairyland 2 with your students or children, we encourage you to download it from one of the websites we have recommended and try it out for yourself. You will be amazed by how much your students or children will enjoy learning English with Fairyland 2. Don't miss this opportunity to make learning English fun and memorable!</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions about Fairyland 2 Pupils Book:</p>
-<ol>
-<li>What is the difference between Fairyland 1 and Fairyland 2?</li>
-<p>Fairyland 1 and Fairyland 2 are both courses for young learners of English aged 6-8. However, Fairyland 1 is for beginners who have little or no previous knowledge of English, while Fairyland 2 is for elementary learners who have completed Fairyland 1 or a similar course.</p>
-<li>How many hours of teaching does Fairyland 2 cover?</li>
-<p>Fairyland 2 covers about 90 hours of teaching, which can be adapted according to the needs and preferences of the teacher and the students.</p>
-<li>What are the other components of the Fairyland series?</li>
-<p>The Fairyland series consists of four levels: Fairyland 1, Fairyland 2, Fairyland 3 and Fairyland 4. Each level has a Pupil's Book, an Activity Book, a Teacher's Book, Picture Flashcards, Posters, Audio CDs, a Pupil's CD and a Teacher's Resource Pack.</p>
-<li>Where can I buy Fairyland 2 Pupils Book and other components?</li>
-<p>You can buy Fairyland 2 Pupils Book and other components from online or offline bookstores that sell Express Publishing products. You can also order them directly from the Express Publishing website <a href="http://www.expresspublishing.co.uk/us/en/content/fairyland-1-4">http://www.expresspublishing.co.uk/us/en/content/fairyland-1-4</a>.</p>
-<li>How can I contact Express Publishing for more information or support?</li>
-<p>You can contact Express Publishing by phone, fax, email or mail using the contact details given on their website <a href="http://www.expresspublishing.co.uk/us/en/contact-us">http://www.expresspublishing.co.uk/us/en/contact-us</a>. You can also follow them on social media platforms such as Facebook, Twitter, YouTube and Instagram.</p>
-</ol>
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spaces/1gistliPinn/ChatGPT4/Examples/Beatmania Iidx 20 Tricoro Anthem Hdd EXCLUSIVE.md

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-<br />
-<h1>Beatmania IIDX 20 Tricoro: The First HD Rhythm Game with Three Colorful Events</h1>
-<p>Beatmania IIDX 20 Tricoro is the 20th installment of the popular arcade rhythm game series, Beatmania IIDX. It was released in September 2012 by Konami, and it was the first game in the series to run in high-definition resolution (1280x720).</p>
-<p>The game features a triple color scheme of red, blue, and yellow, which corresponds to the three main events of the game: LIMIT BURST (red), LEGEND CROSS (blue), and OUR SPACE WAR (yellow). Each event has its own storyline, characters, and songs, and players can unlock them by playing songs from different genres and difficulties.</p>
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-<p>LIMIT BURST is a story mode where players have to clear songs with various modifiers and challenges. LEGEND CROSS is a crossover event with songs from previous Beatmania IIDX games, as well as other BEMANI games. OUR SPACE WAR is a sci-fi themed event where players have to fight against alien invaders using special weapons and abilities.</p>
-<p>The game also features other modes and features, such as Road to SPADA, Café de Tran, Shiritsu BEMANI gakuen, Q-pro, Mimi, Nyami & Pastel-kun no minna de uchuu sensou!!, Today's Featured Songs, and WEEKLY RANKING. The game has over 600 songs in total, including new songs, revived songs, new charts, and difficulty changes.</p>
-<p>The game's soundtrack was released in two volumes: beatmania IIDX 20 tricoro ORIGINAL SOUNDTRACK Vol.1 in February 2013, and beatmania IIDX 21 SPADA ORIGINAL SOUNDTRACK (which contains the content of the cancelled Vol.2) in December 2013. The game's slogan is 輪音転奏。 (rinnetensou.), which means "various tunes change the world [ TRI ] for the future !!!".</p>
-
-<p>Beatmania IIDX 21 Spada is the 21st installment of the series, and the sequel to Beatmania IIDX 20 Tricoro. It was released in November 2013 by Konami, and it continued to run in high-definition resolution. The game's theme is medieval and swords, as the title of the game, Spada is Italian for sword. The UI has a dark and mysterious theme and mainly features black, silver, and purple colors.</p>
-<p>The game features a new unlocking system called Spada†leggendaria, where players have to play specific songs related to swords, crosses, or knights to unlock new boss songs. These boss songs are composed by artists whose names are based on famous swords, such as Sigmund, Ancient Scapes, and Close the World feat. a☆ru. The game also features other events and modes, such as Qprogue, Nettou! BEMANI Stadium, TAG seitansai, SUPER STAR -MITSURU- Perfect Revival, GUMI 5th Anniversary party Presented by BEMANI, Hakken! Yomigaetta BEMANI iseki, Today's Featured Songs, Tran Medal unlocks, and WEEKLY RANKING. The game has over 700 songs in total, including new songs, revived songs, new charts, and difficulty changes.</p>
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spaces/1gistliPinn/ChatGPT4/Examples/Contoh Makalah Pengelolaan Lingkungan Belajar yang Efektif dan Menyenangkan.md

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-<br />
-<p>Sesungguhnya siapakah yang bertanggung jawab akan penyediaan dan pengelolaan lingkungan belajar bagi anak? Terlepas dari siapapun itu yang menyediakan ataupun mengelola yang jelas dan sudah pasti guru menjadi ujung tombak dalam penyediaan lingkungan belajar yang kondusif. Guru merupakan individu yang banyak terlibat dalam setiap kegiatan anak pada saat mereka belajar di sekolah. Keterampilan guru dalam meneyediakan lingkungan belajar akan berpengaruh terhadap kegiatan anak di dalam lingkungan belajar tersebut, baik dalam interaksi, eksplorasi, eksperimen maupun melakukan berbagai kegiatan kreatif lainnya.</p>
-<h2>Contoh Makalah Pengelolaan Lingkungan Belajar</h2><br /><p><b><b>Download File</b> &#10084; <a href="https://imgfil.com/2uy27Z">https://imgfil.com/2uy27Z</a></b></p><br /><br />
-<p>Menurut Kollough (1996) dalam Rusnidal (2005:52) mengungkapkan bahwa ada sejumlah hal yang berkaitan dengan anak yang harus dipertimbangkan dalam menciptakan lingkungan belajar yang kondusif diantaranya:</p>
-<p>Lingkungan berperan dalam pemerolehan informasi sebagai sumberbelajar anak. Semakin bertambah usia anak, maka anak akan mengalamikematangan fungsi fisik dan psikis. Kematangan kedua hal tersebutmerupakan bentuk kesiapan anak untuk merespon segala rangsangan yangdiberikan lingkungannya. Banyak jenis lembaga pendidikan anak usia diniyang menawarkan berbagai suasana lingkungan belajar anak yang mampumendorong efektifitas kegiatan belajar mengajar anak.</p>
-<p>Pada proses belajar mengajar pengelolaan lingkungan belajarmempunyai tujuan secara umum yaitu menyediakan fasilitas bagi bermacam-macam kegiatan siswa dalam lingkungan sosial, emosional dan intelektualdikelas. Fasilitas yang disediakan itu memungkinkan siswa untuk belajar danbekerja dan mengembangkan sikap apresiasi pada siswa.</p>
-<p></p>
-<p>Menurut Suharsimi Arikunto, pengelolaan adalah pengadministrasian,pengaturan, atau penataan suatu kegiatan. Adapun lingkungan belajar adalahsuatu tempat yang berfungsi sebagai wadah atau lapangan terlaksananyaproses belajar mengajar atau pendidikan. Tanpa adanya lingkungan,pendidikan tidak dapat berlangsung. Sedangkan indoor, berasal dari bahasa<i>Inggris, yang berarti di dalam gedung.</i></p>
-<p>Dun & Dun menyebutkan bahwa, kondisi belajar atau lingkunganbelajar dapat mempengaruhi konsentrasi dan penerimaan informsi bagi siswa,jadi lingkungan belajar adalah lingkungan alami yang diciptakan oleh guruatau orang lain yang bisa menambah konsentrasi siswa dan pengetahuansiswa secara efisien.</p>
-<p>Sesuai dengan karakteristiknya, masa usia dini disebut masa peka.Pada masa ini anak sangat sensitif atau sangat peka terhadap sesuatu disekitarnya sehingga pada masa ini merupakan saat yang paling tepat bagianak untuk menerima respons atau rangsangan yang diberikan olehlingkungannya. Dengan demikian, lingkungan sebagai unsur yangmenyediakan sejumlah rangsangan perlu mendapat perhatian dan perludiciptakan sedemikian rupa, agar menyediakan objek- objek sesuai dengankebutuhan dan perkembangan anak. Untuk itu, dibutuhkan perencanaan yangmatang. Ketepatan lingkungan belajar secara langsung maupun tidaklangsung akan sangat mempengaruhi proses dan hasil belajar yang akandicapai anak.</p>
-<p>Lingkungan belajar indoor adalah lingkungan belajar yang memangsudah disediakan oleh manajemen sekolahan agar digunakan untuk parasiswanya sebagai sumber belajar atau lingkungan belajar yang ada didalamsekolahan tersebut. Lingkungan belajar ini bisa berupa perpustakaan,laboratorium, auditorium dan utamanya adalah ruang kelas.</p>
-<p>Disiplin kolektif ketiga yang menjadi perhatian Peter Senge adalah pembentukan mental (mental models), sebuah disiplin yang ingin menekankan sikap pengembangan kepekaan dan persepsi, baik dalam diri sendiri atau orang sekitarnya. Bekerja dengan membentuk mental ini dapat membantu kita untuk lebih jelas dan jujur dalam memandang kenyataan terkini. Karena pembentukan mental dalam pendidikan sering kali tidak dapat didiskusikan, dan tersembunyi, maka<br />kritik yang harus diperhatikan oleh sekolah yang belajar adalah bagaimana kita mampu mengembangkan kapasitas untuk berbicara secara produktif dan aman tentang hal-hal yang berbahaya dan tidak nyaman. Selain itu, pengelola sekolah juga harus senantiasa aktif memikirkan asumsi-asumsi tentang apa yang terjadi dalam kelas, tingkat perkembangan siswa, dan lingkungan rumah siswa.</p>
-<p>Kegagalan seorang guru mencapai tujuan pembelajaran berbanding lurus dengan ketidakmampuan guru mengelola kelas. Indikator dari kegagalan itu seperti prestasi belajar murid rendah, tidak sesuai dengan standar atau batas ukuran yang ditentukan. Karena itu, pengelolaan kelas merupakan kompetensi guru yang sangat penting.</p>
-<p>Di sini jelas bahwa pengelolaan kelas yang efektif merupakan persyaratan mutlak bagi terciptanya proses belajar mengajar yang efektif pula. Maka dari itu pentingnya pengelolaan kelas guna menciptakan suasana kelas yang kondusif demi meningkatkan kualitas pembelajaran. Pengelolaan kelas menjadi tugas dan tanggung jawab guru dengan memberdayakan segala potensi yang ada dalam kelas demi kelangsungan proses pembelajaran. Hal ini berarti setiap guru dituntut secara profesional mengelola kelas sehingga terciptanya suasana kelas yang kondusif guna menunjang proses pembelajaran yang optimal menuntut kemampuan guru untuk mengetahui, memahami, memilih, dan menerapkan pendekatan yang dinilai efektif menciptakan suasana kelas yang kondusif.</p>
-<p>Disimpulkan bahwa pengelolaan kelas adalah berbagai jenis kegiatan yang dengan sengaja dilakukan oleh guru dengan tujuan menciptakan kondisi optimal bagi terjadinya proses belajar mengajar di kelas. Pengelolaan kelas sangat berkaitan dengan upaya-upaya untuk menciptakan dan mempertahankan kondisi yang optimal bagi terjadinya proses belajar (penghentian perilaku peserta didik yang menyelewengkan perhatian kelas, pemberian ganjaran, penyelesaian tugas oleh peserta didik secara tepat waktu, penetapan norma kelompok yang produktif, di dalamnya mencakup pengaturan orang (peserta didik) dan fasilitas yang ada.</p>
-<p>Tujuan pengelolaan kelas menurut Sudirman (dalam Djamarah 2006:170) pada hakikatnya terkandung dalam tujuan pendidikan. Tujuan pengelolaan kelas adalah penyediaan fasilitas bagi macam-macam kegiatan belajar siswa dalam lingkungan sosial, emosional, dan intelektual dalam kelas. Fasilitas yang disediakan itu memungkinkan siswa belajar dan bekerja. Terciptanya suasana sosial yang memberikan kepuasan, suasana disiplin, perkembangan intelektual, emosional, dan sikap serta apresiasi pada siswa. Sedangkan Suharsimi Arikunto (dalam Djamarah 2006:178) berpendapat bahwa tujuan pengelolaan kelas adalah agar setiap anak di kelas dapat bekerja dengan tertib sehingga segera tercapai tujuan pengajaran secara efektif dan efisian.</p>
-<p>Jadi, pengelolaan kelas dimaksudkan untuk menciptakan kondisi di dalam kelompok kelas yang berupa lingkungan kelas yang baik, yang memungkinkan siswa berbuat sesuai dengan kemampuannya. Kemudian, dengan pengelolaan kelas produknya harus sesuai dengan tujuan yang hendak dicapai dan agar setiap anak dikelas dapat bekerja dengan tertib, sehingga segera tercapai tujuan pengajaran secara efektif dan efisien serta agar setiap guru mampu menguasai kelas dengan menggunakan berbagai macam pendekatan dengan menyesuaikan permasalahan yang ada, sehingga tercipta suasana yang kondusif, efektif dan efisien.</p>
-<p>Pendekatan yang primisif dalam pengelolaan kelas merupakan seperangkat kegiatan pengajar yang memaksimalkan kebebasan pembelajar untuk melakukan sesuatu. Sehingga pembelajar bila kebebasan ini dihalangi dapat menghambat perkembangan pembelajar. Berbagai bentuk pendekatan dalam pelaksanaan pengelolaan kelas ini banyak menyerahkan segala inisiatif dan tindakan pada diri pembelajar:</p>
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-<p>Dikatakan bahwa pengelolaan kelas yang efektif merupakan persyaratan mutlak bagi terciptanya proses belajar mengajar yang efektif pula. Maka dari itu pentingnya pengelolaan kelas guna menciptakan suasana kelas yang kondusif demi meningkatkan kualitas pembelajaran. Pengelolaan kelas menjadi tugas dan tanggung jawab guru dengan memberdayakan segala potensi yang ada dalam kelas demi kelangsungan proses pembelajaran.</p>
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spaces/1pelhydcardo/ChatGPT-prompt-generator/assets/Download Angry Birds 2 and Experience the New Era of Slingshot Gameplay on Android.md

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-<h1>How to Download Angry Birds 2 for Android</h1>
-<p>Are you looking for a fun and addictive game to play on your Android device? Do you want to join millions of players around the world in flinging birds at pigs and saving eggs? If so, then you should download Angry Birds 2, the sequel to the most popular physics-based game ever. In this article, we will tell you what Angry Birds 2 is, why you should play it, and how to download it for Android. We will also share some tips and tricks to help you master the game and have more fun.</p>
- <h2>What is Angry Birds 2?</h2>
-<p>Angry Birds 2 is a puzzle video game developed by Rovio Entertainment and released in 2015. It is the twelfth game in the Angry Birds series, and the direct sequel to the original Angry Birds. It is a free-to-play game with optional purchases for in-game currency.</p>
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-<p>The game follows the same basic premise as the previous games: you use a slingshot to launch birds at structures made of glass, wood, and stone, where pigs are hiding. Your goal is to destroy all the pigs and save the eggs. However, Angry Birds 2 also introduces some new features and improvements that make it more fun and challenging.</p>
- <h3>Why should you play Angry Birds 2?</h3>
-<p>There are many reasons why you should play Angry Birds 2, whether you are a fan of the franchise or not. Here are some of them:</p>
- <h4>Fun gameplay</h4>
-<p>Angry Birds 2 has a fun and addictive gameplay that will keep you entertained for hours. You can choose which bird to put in the slingshot and use their special abilities to defeat the pigs with strategy. You can also use spells to unleash powerful effects on the levels. The game has hundreds of levels with multiple stages, each with different challenges and surprises. You can also compete with other players in the arena or join a clan to cooperate with friends.</p>
- <h4>Amazing graphics</h4>
-<p>Angry Birds 2 has stunning graphics that make the game look good on any device. The game uses cel-shaded visuals that give it a cartoon-like style. The characters, structures, and landscapes are colorful and detailed. The animations are smooth and expressive. The game also has dynamic weather effects that change the atmosphere of each level.</p>
- <h4>Multiple modes and events</h4>
-<p>Angry Birds 2 has many modes and events that add variety and excitement to the game. You can play daily challenges, mighty eagle's bootcamp, tower of fortune, clans wars, seasonal events, limited-time events, and more. Each mode or event has its own rules, rewards, and leaderboards. You can also collect hats, feathers, gems, chests, stars, tickets, apples and more to customize your birds and boost their power. You can also unlock new birds and spells as you progress in the game.</p>
- <h2>How to download Angry Birds 2 for Android?</h2>
-<p>Downloading Angry Birds 2 for Android is easy and fast. You just need to follow these simple steps:</p>
- <h3>Requirements</h3>
-<p>Before you download the game, make sure you have the following requirements:</p>
-<ul>
-<li>An Android device with version 4.4 or higher</li>
-<li>At least 600 MB of free storage space</li>
-<li>A stable internet connection</li>
-</ul>
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-<p>Once you have the requirements, you can download the game from the Google Play Store by following these steps:</p>
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-<li>Open the Google Play Store app on your device</li>
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-<li>Tap on the "Install" button and wait for the download to finish</li>
-<li>Tap on the "Open" button and enjoy the game</li>
-</ol>
- <h3>Tips and tricks</h3>
-<p>To play Angry Birds 2 better and get more rewards, you can use these tips and tricks:</p>
- <h4>Use the environment</h4>
-<p>The levels in Angry Birds 2 have many environmental elements that you can use to your advantage. For example, you can hit flowers to make them explode, portals to teleport your birds, fans to change the direction of your shots, and more. Experiment with different elements and see how they affect the outcome of each level.</p>
- <h4>Fill the Destructometer</h4>
-<p>The Destructometer is a meter that fills up as you cause more damage to the structures and pigs. When it is full, you get an extra card that lets you choose another bird or spell to use. You can also get extra cards by hitting golden pigs or collecting stars. Try to fill the Destructometer as much as possible to have more options and chances to win.</p>
- <h4>Choose your bird wisely</h4>
-<p>Each bird in Angry Birds 2 has a different ability and strength that can be useful against different materials and situations. For example, Red can knock back objects with his battle cry, Chuck can speed up and pierce through wood, Bomb can explode and destroy stone, Matilda can drop an egg bomb and fly upwards, and so on. You can also upgrade your birds by collecting feathers and increase their power level. Choose your bird wisely depending on the level layout and the materials you need to break.</p>
- <h4>Save your lives and gems</h4>
-<p>Angry Birds 2 is a free-to-play game, but it has some limitations that can affect your gameplay. For example, you have a limited number of lives that regenerate over time or can be refilled by spending gems or watching ads. Gems are the premium currency of the game that can be used to buy more lives, spells, chests, hats, and more. You can earn gems by completing achievements, winning arena matches, opening chests, or buying them with real money. To save your lives and gems, you should play smartly and avoid losing levels or retrying them too often. You should also spend your gems wisely and only on things that you really need or want.</p>
- <h2>Conclusion</h2>
-<p>Angry Birds 2 is a fun and addictive game that you can download for free on your Android device. It has a fun gameplay, amazing graphics, multiple modes and events, and many features that make it more enjoyable than ever. If you want to join the millions of players who love this game, follow our guide on how to download Angry Birds 2 for Android and start flinging birds at pigs today. You will not regret it!</p>
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-<p>Here are some frequently asked questions and answers about Angry Birds 2:</p>
- <ol>
-<li><b>How many levels are there in Angry Birds 2?</b></li>
-<p>There are over 2000 levels in Angry Birds 2, divided into chapters with different themes and bosses. The game also adds new levels regularly with updates and events.</p>
- <li><b>How do I get more spells in Angry Birds 2?</b></li>
-<p>You can get more spells by filling the Destructometer, hitting golden pigs, collecting stars, opening chests, winning arena matches, or buying them with gems.</p>
- <li><b>How do I join a clan in Angry Birds 2?</b></li>
-<p>You can join a clan in Angry Birds 2 by tapping on the clan icon on the main screen and choosing a clan that suits your preferences and interests. You can also create your own clan or invite your friends to join your clan. Clans allow you to chat with other members, share tips and strategies, and participate in clan wars and events.</p>
- <li><b>How do I unlock new birds in Angry Birds 2?</b></li>
-<p>You can unlock new birds in Angry Birds 2 by completing certain levels or chapters, opening chests, or buying them with gems. Some of the new birds are Silver, Stella, Bubbles, Hal, Terence, and Mighty Eagle.</p>
- <li><b>How do I contact the support team of Angry Birds 2?</b></li>
-<p>If you have any issues or questions about the game, you can contact the support team of Angry Birds 2 by tapping on the settings icon on the main screen and then tapping on the help icon. You can also visit the official website of the game or the Rovio Entertainment website for more information and resources.</p>
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spaces/1phancelerku/anime-remove-background/Car Parking Multiplayer Download Join Thousands of Players in an Open World Mode.md

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-<h1>Can You Download Car Parking Multiplayer?</h1>
-<p>If you are looking for a fun and realistic parking simulator game, you might have heard of Car Parking Multiplayer. This game is more than just parking: it offers an open-world multiplayer mode, car tuning, free walking, and many other features. But can you download Car Parking Multiplayer on your device? The answer is yes, you can! In this article, we will show you what Car Parking Multiplayer is, how to download it on different devices, and some tips and tricks for playing it.</p>
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-<p>Car Parking Multiplayer is a simulation game developed by olzhass. It is one of the most popular parking games on Google Play and App Store, with over 100 million downloads and 4.4 stars rating . In this game, you can choose from over 130 cars with real interiors, drive them in various environments, park them in challenging situations, and customize them with different parts and vinyls. You can also join thousands of other players online, compete in races, exchange cars, chat with voice or text, and even role-play as a police officer or a taxi driver.</p>
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-<p>Some of the features that make Car Parking Multiplayer stand out from other parking games are:</p>
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-<p>Some of the benefits that you can get from playing Car Parking Multiplayer are:</p>
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-<li>You can express your creativity and personality by customizing your car.</li>
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- <h2>How to Download Car Parking Multiplayer on Different Devices?</h2>
-<p>The good news is that you can download Car Parking Multiplayer on various devices such as Android phones or tablets, iOS devices (iPhone or iPad), or PC (Windows or Mac). Here are the steps for each device:</p>
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-<p>If you have an Android device, you can download Car Parking Multiplayer from Google Play Store. Here are the steps:</p>
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-<li>Open Google Play Store app on your device or go to play.google.com on your browser.</li>
-<li>Search for "Car Parking Multiplayer" in the search bar at the top or browse through the apps in the simulation category.</li>
-<li>Tap on the name of the app and then tap on Install (if the app is free) or the app's price (if the app is paid).</li>
-<li>If If you are asked to grant permissions, tap on Accept or Allow. The app will start downloading and installing on your device.</li>
-<li>Once the app is installed, you can open it by tapping on Open or by finding it on your home screen or app drawer.</li>
-</ol>
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-<p>If you have an iOS device, you can download Car Parking Multiplayer from App Store. Here are the steps:</p>
-<ol>
-<li>Open App Store app on your device or go to apps.apple.com on your browser.</li>
-<li>Search for "Car Parking Multiplayer" in the search bar at the bottom or browse through the apps in the simulation category.</li>
-<li>Tap on the name of the app and then tap on Get (if the app is free) or the app's price (if the app is paid).</li>
-<li>If you are asked to enter your Apple ID password or use Touch ID or Face ID, do so. The app will start downloading and installing on your device.</li>
-<li>Once the app is installed, you can open it by tapping on Open or by finding it on your home screen.</li>
-</ol>
- <h3>How to Download Car Parking Multiplayer on PC?</h3>
-<p>If you want to play Car Parking Multiplayer on your PC, you will need to use an Android emulator. An Android emulator is a software that allows you to run Android apps on your PC. There are many Android emulators available, but we recommend using BlueStacks as it is one of the most popular and reliable ones. Here are the steps:</p>
-<ol>
-<li>Go to bluestacks.com and download the latest version of BlueStacks for your PC (Windows or Mac).</li>
-<li>Run the installer and follow the instructions to install BlueStacks on your PC.</li>
-<li>Launch BlueStacks and sign in with your Google account or create a new one.</li>
-<li>Go to Google Play Store app within BlueStacks or click on the Play Store icon on the home screen.</li>
-<li>Search for "Car Parking Multiplayer" in the search bar at the top or browse through the apps in the simulation category.</li>
-<li>Click on the name of the app and then click on Install (if the app is free) or the app's price (if the app is paid).</li>
-<li>The app will start downloading and installing on your PC.</li>
-<li>Once the app is installed, you can open it by clicking on Open or by finding it on the home screen or app center.</li>
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- <h2>Tips and Tricks for Playing Car Parking Multiplayer</h2>
-<p>Now that you have downloaded Car Parking Multiplayer on your device, you might be wondering how to play it and get better at it. Here are some tips and tricks that can help you:</p>
- <h3>How to Earn Money and Coins in Car Parking Multiplayer?</h3>
-<p>Money and coins are the main currencies in Car Parking Multiplayer. You can use them to buy new cars, upgrade your car, change your license plate, and more. There are several ways to earn money and coins in Car Parking Multiplayer, such as:</p>
-<ul>
-<li>Completing parking and driving challenges: You can earn money and coins by completing various parking and driving challenges in different locations. The more difficult the challenge, the more money and coins you will get.</li>
-<li>Selling cars: You can sell your cars to other players online or to dealerships offline. You can also exchange cars with other players online.</li>
-<li>Racing: You can join or create races with other players online and win money and coins if you finish first, second, or third.</li>
-<li>Daily rewards: You can get daily rewards by logging in every day. The rewards include money, coins, cars, parts, vinyls, and more.</li>
-</ul>
- <h3>How to Customize Your Car in Car Parking Multiplayer?</h3>
-<p>One of the fun aspects of Car Parking Multiplayer is customizing your car. You can change various aspects of your car such as color, wheels, suspension, engine, exhaust, gearbox, turbo, vinyls, body parts, and more. To customize your car, you need to go to a garage or a tuning shop. There are two types of garages in Car Parking Multiplayer: personal garage and public garage. A personal garage is where you can store your cars and access them anytime. A public garage is where you can find other players' cars and buy them if they are for sale. To go to a garage, you need to find a garage icon on the map and drive there. To go to a tuning shop, you need to find a tuning shop icon on the map and drive there. Once you are in a garage or a tuning shop, you can tap on the Customize button and start modifying your car. You can also preview your car before buying or applying any changes. To save your changes, you need to tap on the Save button and pay the required amount of money or coins.</p>
- <h3>How to Interact with Other Players in Car Parking Multiplayer?</h3>
-<p>Car Parking Multiplayer is not only a parking simulator, but also a social game. You can interact with other players in various ways, such as:</p>
-<ul>
-<li>Chatting: You can chat with other players using voice or text messages. You can also use emojis and stickers to express yourself. To chat with other players, you need to tap on the Chat button and select the player you want to talk to.</li>
-<li>Racing: You can join or create races with other players online and compete for money and coins. To join or create a race, you need to tap on the Race button and select the mode, location, and rules of the race.</li>
-<li>Trading: You can trade cars, parts, vinyls, and money with other players online. To trade with other players, you need to tap on the Trade button and select the player you want to trade with.</li>
-<li>Role-playing: You can role-play as a police officer, a taxi driver, a car thief, or any other character you want. You can also use different accessories and items to enhance your role-playing experience. To role-play with other players, you need to tap on the Role-play button and select the role you want to play.</li>
-</ul>
- <h2>Conclusion</h2>
-<p>Car Parking Multiplayer is a simulation game that offers more than just parking. It is a game that lets you drive, park, customize, and socialize with different cars and players. You can download Car Parking Multiplayer on your Android, iOS, or PC device and enjoy a realistic and immersive parking simulator game. If you are looking for a fun and challenging parking game, Car Parking Multiplayer is the game for you.</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions about Car Parking Multiplayer:</p>
-<ul>
-<li><b>Q: How much does Car Parking Multiplayer cost?</b></li>
-<li>A: Car Parking Multiplayer is free to download and play on Android and iOS devices. However, it contains ads and in-app purchases that can enhance your gameplay experience.</li>
-<li><b>Q: Is Car Parking Multiplayer safe for kids?</b></li>
-<li>A: Car Parking Multiplayer is rated 12+ on App Store and Teen on Google Play Store. It contains mild violence, profanity, and simulated gambling. Parents should supervise their kids when playing this game or use parental controls to restrict access.</li>
-<li><b>Q: How can I contact the developers of Car Parking Multiplayer?</b></li>
-<li>A: You can contact the developers of Car Parking Multiplayer by emailing them at [email protected] or by following them on Facebook or Instagram.</li>
-<li><b>Q: How can I report a bug or a problem in Car Parking Multiplayer?</b></li>
-<li>A: You can report a bug or a problem in Car Parking Multiplayer by tapping on the Settings button and then tapping on the Report button. You can also send an email to [email protected] with a screenshot or a video of the bug or problem.</li>
-<li><b>Q: How can I get more money and coins in Car Parking Multiplayer?</b></li>
-<li>A: You can get more money and coins in Car Parking Multiplayer by completing parking and driving challenges, selling or exchanging cars, joining or creating races, getting daily rewards, watching ads, or buying them with real money.</li>
-</ul></p> 401be4b1e0<br />
-<br />
-<br />

spaces/1toTree/lora_test/ppdiffusers/pipelines/repaint/__init__.py

@@ -1,16 +0,0 @@
-# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
-# Copyright 2022 The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# flake8: noqa
-from .pipeline_repaint import RePaintPipeline

spaces/801artistry/RVC801/infer/lib/train/process_ckpt.py

@@ -1,261 +0,0 @@
-import os
-import sys
-import traceback
-from collections import OrderedDict
-
-import torch
-
-from i18n import I18nAuto
-
-i18n = I18nAuto()
-
-
-def savee(ckpt, sr, if_f0, name, epoch, version, hps):
-    try:
-        opt = OrderedDict()
-        opt["weight"] = {}
-        for key in ckpt.keys():
-            if "enc_q" in key:
-                continue
-            opt["weight"][key] = ckpt[key].half()
-        opt["config"] = [
-            hps.data.filter_length // 2 + 1,
-            32,
-            hps.model.inter_channels,
-            hps.model.hidden_channels,
-            hps.model.filter_channels,
-            hps.model.n_heads,
-            hps.model.n_layers,
-            hps.model.kernel_size,
-            hps.model.p_dropout,
-            hps.model.resblock,
-            hps.model.resblock_kernel_sizes,
-            hps.model.resblock_dilation_sizes,
-            hps.model.upsample_rates,
-            hps.model.upsample_initial_channel,
-            hps.model.upsample_kernel_sizes,
-            hps.model.spk_embed_dim,
-            hps.model.gin_channels,
-            hps.data.sampling_rate,
-        ]
-        opt["info"] = "%sepoch" % epoch
-        opt["sr"] = sr
-        opt["f0"] = if_f0
-        opt["version"] = version
-        torch.save(opt, "weights/%s.pth" % name)
-        return "Success."
-    except:
-        return traceback.format_exc()
-
-
-def show_info(path):
-    try:
-        a = torch.load(path, map_location="cpu")
-        return "模型信息:%s\n采样率:%s\n模型是否输入音高引导:%s\n版本:%s" % (
-            a.get("info", "None"),
-            a.get("sr", "None"),
-            a.get("f0", "None"),
-            a.get("version", "None"),
-        )
-    except:
-        return traceback.format_exc()
-
-
-def extract_small_model(path, name, sr, if_f0, info, version):
-    try:
-        ckpt = torch.load(path, map_location="cpu")
-        if "model" in ckpt:
-            ckpt = ckpt["model"]
-        opt = OrderedDict()
-        opt["weight"] = {}
-        for key in ckpt.keys():
-            if "enc_q" in key:
-                continue
-            opt["weight"][key] = ckpt[key].half()
-        if sr == "40k":
-            opt["config"] = [
-                1025,
-                32,
-                192,
-                192,
-                768,
-                2,
-                6,
-                3,
-                0,
-                "1",
-                [3, 7, 11],
-                [[1, 3, 5], [1, 3, 5], [1, 3, 5]],
-                [10, 10, 2, 2],
-                512,
-                [16, 16, 4, 4],
-                109,
-                256,
-                40000,
-            ]
-        elif sr == "48k":
-            if version == "v1":
-                opt["config"] = [
-                    1025,
-                    32,
-                    192,
-                    192,
-                    768,
-                    2,
-                    6,
-                    3,
-                    0,
-                    "1",
-                    [3, 7, 11],
-                    [[1, 3, 5], [1, 3, 5], [1, 3, 5]],
-                    [10, 6, 2, 2, 2],
-                    512,
-                    [16, 16, 4, 4, 4],
-                    109,
-                    256,
-                    48000,
-                ]
-            else:
-                opt["config"] = [
-                    1025,
-                    32,
-                    192,
-                    192,
-                    768,
-                    2,
-                    6,
-                    3,
-                    0,
-                    "1",
-                    [3, 7, 11],
-                    [[1, 3, 5], [1, 3, 5], [1, 3, 5]],
-                    [12, 10, 2, 2],
-                    512,
-                    [24, 20, 4, 4],
-                    109,
-                    256,
-                    48000,
-                ]
-        elif sr == "32k":
-            if version == "v1":
-                opt["config"] = [
-                    513,
-                    32,
-                    192,
-                    192,
-                    768,
-                    2,
-                    6,
-                    3,
-                    0,
-                    "1",
-                    [3, 7, 11],
-                    [[1, 3, 5], [1, 3, 5], [1, 3, 5]],
-                    [10, 4, 2, 2, 2],
-                    512,
-                    [16, 16, 4, 4, 4],
-                    109,
-                    256,
-                    32000,
-                ]
-            else:
-                opt["config"] = [
-                    513,
-                    32,
-                    192,
-                    192,
-                    768,
-                    2,
-                    6,
-                    3,
-                    0,
-                    "1",
-                    [3, 7, 11],
-                    [[1, 3, 5], [1, 3, 5], [1, 3, 5]],
-                    [10, 8, 2, 2],
-                    512,
-                    [20, 16, 4, 4],
-                    109,
-                    256,
-                    32000,
-                ]
-        if info == "":
-            info = "Extracted model."
-        opt["info"] = info
-        opt["version"] = version
-        opt["sr"] = sr
-        opt["f0"] = int(if_f0)
-        torch.save(opt, "weights/%s.pth" % name)
-        return "Success."
-    except:
-        return traceback.format_exc()
-
-
-def change_info(path, info, name):
-    try:
-        ckpt = torch.load(path, map_location="cpu")
-        ckpt["info"] = info
-        if name == "":
-            name = os.path.basename(path)
-        torch.save(ckpt, "weights/%s" % name)
-        return "Success."
-    except:
-        return traceback.format_exc()
-
-
-def merge(path1, path2, alpha1, sr, f0, info, name, version):
-    try:
-
-        def extract(ckpt):
-            a = ckpt["model"]
-            opt = OrderedDict()
-            opt["weight"] = {}
-            for key in a.keys():
-                if "enc_q" in key:
-                    continue
-                opt["weight"][key] = a[key]
-            return opt
-
-        ckpt1 = torch.load(path1, map_location="cpu")
-        ckpt2 = torch.load(path2, map_location="cpu")
-        cfg = ckpt1["config"]
-        if "model" in ckpt1:
-            ckpt1 = extract(ckpt1)
-        else:
-            ckpt1 = ckpt1["weight"]
-        if "model" in ckpt2:
-            ckpt2 = extract(ckpt2)
-        else:
-            ckpt2 = ckpt2["weight"]
-        if sorted(list(ckpt1.keys())) != sorted(list(ckpt2.keys())):
-            return "Fail to merge the models. The model architectures are not the same."
-        opt = OrderedDict()
-        opt["weight"] = {}
-        for key in ckpt1.keys():
-            # try:
-            if key == "emb_g.weight" and ckpt1[key].shape != ckpt2[key].shape:
-                min_shape0 = min(ckpt1[key].shape[0], ckpt2[key].shape[0])
-                opt["weight"][key] = (
-                    alpha1 * (ckpt1[key][:min_shape0].float())
-                    + (1 - alpha1) * (ckpt2[key][:min_shape0].float())
-                ).half()
-            else:
-                opt["weight"][key] = (
-                    alpha1 * (ckpt1[key].float()) + (1 - alpha1) * (ckpt2[key].float())
-                ).half()
-        # except:
-        #     pdb.set_trace()
-        opt["config"] = cfg
-        """
-        if(sr=="40k"):opt["config"] = [1025, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10, 10, 2, 2], 512, [16, 16, 4, 4,4], 109, 256, 40000]
-        elif(sr=="48k"):opt["config"] = [1025, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10,6,2,2,2], 512, [16, 16, 4, 4], 109, 256, 48000]
-        elif(sr=="32k"):opt["config"] = [513, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10, 4, 2, 2, 2], 512, [16, 16, 4, 4,4], 109, 256, 32000]
-        """
-        opt["sr"] = sr
-        opt["f0"] = 1 if f0 == i18n("是") else 0
-        opt["version"] = version
-        opt["info"] = info
-        torch.save(opt, "weights/%s.pth" % name)
-        return "Success."
-    except:
-        return traceback.format_exc()

spaces/ADOPLE/ResumeAnalyzer/README.md

@@ -1,13 +0,0 @@
----
-title: AdopleAI website ResumeAnalyser
-emoji: 🏃
-colorFrom: gray
-colorTo: indigo
-sdk: gradio
-sdk_version: 3.35.2
-app_file: app.py
-pinned: false
-duplicated_from: ADOPLE/AdopleAI-ResumeAnalyzer
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/AI-Hobbyist/Hoyo-RVC/docs/README.ja.md

@@ -1,104 +0,0 @@
-<div align="center">
-
-<h1>Retrieval-based-Voice-Conversion-WebUI</h1>
-VITSに基づく使いやすい音声変換（voice changer）framework<br><br>
-
-[![madewithlove](https://forthebadge.com/images/badges/built-with-love.svg)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI)
-
-<img src="https://counter.seku.su/cmoe?name=rvc&theme=r34" /><br>
-
-[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
-[![Licence](https://img.shields.io/github/license/liujing04/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/%E4%BD%BF%E7%94%A8%E9%9C%80%E9%81%B5%E5%AE%88%E7%9A%84%E5%8D%8F%E8%AE%AE-LICENSE.txt)
-[![Huggingface](https://img.shields.io/badge/🤗%20-Spaces-yellow.svg?style=for-the-badge)](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
-
-[![Discord](https://img.shields.io/badge/RVC%20Developers-Discord-7289DA?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/HcsmBBGyVk)
-
-</div>
-
-------
-
-[**更新日誌**](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Changelog_CN.md)
-
-[**English**](./README.en.md) | [**中文简体**](../README.md) | [**日本語**](./README.ja.md) | [**한국어**](./README.ko.md) ([**韓國語**](./README.ko.han.md))
-
-> デモ動画は[こちら](https://www.bilibili.com/video/BV1pm4y1z7Gm/)でご覧ください。
-
-> RVCによるリアルタイム音声変換: [w-okada/voice-changer](https://github.com/w-okada/voice-changer)
-
-> 著作権侵害を心配することなく使用できるように、基底モデルは約50時間の高品質なオープンソースデータセットで訓練されています。
-
-> 今後も、次々と使用許可のある高品質な歌声の資料集を追加し、基底モデルを訓練する予定です。
-
-## はじめに
-本リポジトリには下記の特徴があります。
-
-+ Top1検索を用いることで、生の特徴量を訓練用データセット特徴量に変換し、トーンリーケージを削減します。
-+ 比較的貧弱なGPUでも、高速かつ簡単に訓練できます。
-+ 少量のデータセットからでも、比較的良い結果を得ることができます。（10分以上のノイズの少ない音声を推奨します。）
-+ モデルを融合することで、音声を混ぜることができます。（ckpt processingタブの、ckpt mergeを使用します。）
-+ 使いやすいWebUI。
-+ UVR5 Modelも含んでいるため、人の声とBGMを素早く分離できます。
-
-## 環境構築
-Poetryで依存関係をインストールすることをお勧めします。
-
-下記のコマンドは、Python3.8以上の環境で実行する必要があります:
-```bash
-# PyTorch関連の依存関係をインストール。インストール済の場合は省略。
-# 参照先: https://pytorch.org/get-started/locally/
-pip install torch torchvision torchaudio
-
-#Windows＋ Nvidia Ampere Architecture(RTX30xx)の場合、 #21 に従い、pytorchに対応するcuda versionを指定する必要があります。
-#pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
-
-# PyTorch関連の依存関係をインストール。インストール済の場合は省略。
-# 参照先: https://python-poetry.org/docs/#installation
-curl -sSL https://install.python-poetry.org | python3 -
-
-# Poetry経由で依存関係をインストール
-poetry install
-```
-
-pipでも依存関係のインストールが可能です:
-
-```bash
-pip install -r requirements.txt
-```
-
-## 基底modelsを準備
-RVCは推論/訓練のために、様々な事前訓練を行った基底モデルを必要とします。
-
-modelsは[Hugging Face space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)からダウンロードできます。
-
-以下は、RVCに必要な基底モデルやその他のファイルの一覧です。
-```bash
-hubert_base.pt
-
-./pretrained 
-
-./uvr5_weights
-
-# ffmpegがすでにinstallされている場合は省略
-./ffmpeg
-```
-その後、下記のコマンドでWebUIを起動します。
-```bash
-python infer-web.py
-```
-Windowsをお使いの方は、直接`RVC-beta.7z`をダウンロード後に展開し、`go-web.bat`をクリックすることで、WebUIを起動することができます。(7zipが必要です。)
-
-また、リポジトリに[小白简易教程.doc](./小白简易教程.doc)がありますので、参考にしてください（中国語版のみ）。
-
-## 参考プロジェクト
-+ [ContentVec](https://github.com/auspicious3000/contentvec/)
-+ [VITS](https://github.com/jaywalnut310/vits)
-+ [HIFIGAN](https://github.com/jik876/hifi-gan)
-+ [Gradio](https://github.com/gradio-app/gradio)
-+ [FFmpeg](https://github.com/FFmpeg/FFmpeg)
-+ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
-+ [audio-slicer](https://github.com/openvpi/audio-slicer)
-
-## 貢献者(contributor)の皆様の尽力に感謝します
-<a href="https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/graphs/contributors" target="_blank">
-  <img src="https://contrib.rocks/image?repo=liujing04/Retrieval-based-Voice-Conversion-WebUI" />
-</a>

spaces/AIConsultant/MusicGen/audiocraft/losses/__init__.py

@@ -1,21 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the license found in the
-# LICENSE file in the root directory of this source tree.
-"""Loss related classes and functions. In particular the loss balancer from
-EnCodec, and the usual spectral losses."""
-
-# flake8: noqa
-from .balancer import Balancer
-from .sisnr import SISNR
-from .stftloss import (
-    LogSTFTMagnitudeLoss,
-    MRSTFTLoss,
-    SpectralConvergenceLoss,
-    STFTLoss
-)
-from .specloss import (
-    MelSpectrogramL1Loss,
-    MultiScaleMelSpectrogramLoss,
-)

spaces/AIFILMS/generate_human_motion/VQ-Trans/models/quantize_cnn.py

@@ -1,415 +0,0 @@
-import numpy as np
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-
-class QuantizeEMAReset(nn.Module):
-    def __init__(self, nb_code, code_dim, args):
-        super().__init__()
-        self.nb_code = nb_code
-        self.code_dim = code_dim
-        self.mu = args.mu
-        self.reset_codebook()
-        
-    def reset_codebook(self):
-        self.init = False
-        self.code_sum = None
-        self.code_count = None
-        if torch.cuda.is_available():
-            self.register_buffer('codebook', torch.zeros(self.nb_code, self.code_dim).cuda())
-        else:
-            self.register_buffer('codebook', torch.zeros(self.nb_code, self.code_dim))
-
-    def _tile(self, x):
-        nb_code_x, code_dim = x.shape
-        if nb_code_x < self.nb_code:
-            n_repeats = (self.nb_code + nb_code_x - 1) // nb_code_x
-            std = 0.01 / np.sqrt(code_dim)
-            out = x.repeat(n_repeats, 1)
-            out = out + torch.randn_like(out) * std
-        else :
-            out = x
-        return out
-
-    def init_codebook(self, x):
-        out = self._tile(x)
-        self.codebook = out[:self.nb_code]
-        self.code_sum = self.codebook.clone()
-        self.code_count = torch.ones(self.nb_code, device=self.codebook.device)
-        self.init = True
-        
-    @torch.no_grad()
-    def compute_perplexity(self, code_idx) : 
-        # Calculate new centres
-        code_onehot = torch.zeros(self.nb_code, code_idx.shape[0], device=code_idx.device)  # nb_code, N * L
-        code_onehot.scatter_(0, code_idx.view(1, code_idx.shape[0]), 1)
-
-        code_count = code_onehot.sum(dim=-1)  # nb_code
-        prob = code_count / torch.sum(code_count)  
-        perplexity = torch.exp(-torch.sum(prob * torch.log(prob + 1e-7)))
-        return perplexity
-    
-    @torch.no_grad()
-    def update_codebook(self, x, code_idx):
-        
-        code_onehot = torch.zeros(self.nb_code, x.shape[0], device=x.device)  # nb_code, N * L
-        code_onehot.scatter_(0, code_idx.view(1, x.shape[0]), 1)
-
-        code_sum = torch.matmul(code_onehot, x)  # nb_code, w
-        code_count = code_onehot.sum(dim=-1)  # nb_code
-
-        out = self._tile(x)
-        code_rand = out[:self.nb_code]
-
-        # Update centres
-        self.code_sum = self.mu * self.code_sum + (1. - self.mu) * code_sum  # w, nb_code
-        self.code_count = self.mu * self.code_count + (1. - self.mu) * code_count  # nb_code
-
-        usage = (self.code_count.view(self.nb_code, 1) >= 1.0).float()
-        code_update = self.code_sum.view(self.nb_code, self.code_dim) / self.code_count.view(self.nb_code, 1)
-
-        self.codebook = usage * code_update + (1 - usage) * code_rand
-        prob = code_count / torch.sum(code_count)  
-        perplexity = torch.exp(-torch.sum(prob * torch.log(prob + 1e-7)))
-
-            
-        return perplexity
-
-    def preprocess(self, x):
-        # NCT -> NTC -> [NT, C]
-        x = x.permute(0, 2, 1).contiguous()
-        x = x.view(-1, x.shape[-1])  
-        return x
-
-    def quantize(self, x):
-        # Calculate latent code x_l
-        k_w = self.codebook.t()
-        distance = torch.sum(x ** 2, dim=-1, keepdim=True) - 2 * torch.matmul(x, k_w) + torch.sum(k_w ** 2, dim=0,
-                                                                                            keepdim=True)  # (N * L, b)
-        _, code_idx = torch.min(distance, dim=-1)
-        return code_idx
-
-    def dequantize(self, code_idx):
-        x = F.embedding(code_idx, self.codebook)
-        return x
-
-    
-    def forward(self, x):
-        N, width, T = x.shape
-
-        # Preprocess
-        x = self.preprocess(x)
-
-        # Init codebook if not inited
-        if self.training and not self.init:
-            self.init_codebook(x)
-
-        # quantize and dequantize through bottleneck
-        code_idx = self.quantize(x)
-        x_d = self.dequantize(code_idx)
-
-        # Update embeddings
-        if self.training:
-            perplexity = self.update_codebook(x, code_idx)
-        else : 
-            perplexity = self.compute_perplexity(code_idx)
-        
-        # Loss
-        commit_loss = F.mse_loss(x, x_d.detach())
-
-        # Passthrough
-        x_d = x + (x_d - x).detach()
-
-        # Postprocess
-        x_d = x_d.view(N, T, -1).permute(0, 2, 1).contiguous()   #(N, DIM, T)
-        
-        return x_d, commit_loss, perplexity
-
-
-
-class Quantizer(nn.Module):
-    def __init__(self, n_e, e_dim, beta):
-        super(Quantizer, self).__init__()
-
-        self.e_dim = e_dim
-        self.n_e = n_e
-        self.beta = beta
-
-        self.embedding = nn.Embedding(self.n_e, self.e_dim)
-        self.embedding.weight.data.uniform_(-1.0 / self.n_e, 1.0 / self.n_e)
-
-    def forward(self, z):
-        
-        N, width, T = z.shape
-        z = self.preprocess(z)
-        assert z.shape[-1] == self.e_dim
-        z_flattened = z.contiguous().view(-1, self.e_dim)
-
-        # B x V
-        d = torch.sum(z_flattened ** 2, dim=1, keepdim=True) + \
-            torch.sum(self.embedding.weight**2, dim=1) - 2 * \
-            torch.matmul(z_flattened, self.embedding.weight.t())
-        # B x 1
-        min_encoding_indices = torch.argmin(d, dim=1)
-        z_q = self.embedding(min_encoding_indices).view(z.shape)
-
-        # compute loss for embedding
-        loss = torch.mean((z_q - z.detach())**2) + self.beta * \
-               torch.mean((z_q.detach() - z)**2)
-
-        # preserve gradients
-        z_q = z + (z_q - z).detach()
-        z_q = z_q.view(N, T, -1).permute(0, 2, 1).contiguous()   #(N, DIM, T)
-
-        min_encodings = F.one_hot(min_encoding_indices, self.n_e).type(z.dtype)
-        e_mean = torch.mean(min_encodings, dim=0)
-        perplexity = torch.exp(-torch.sum(e_mean*torch.log(e_mean + 1e-10)))
-        return z_q, loss, perplexity
-
-    def quantize(self, z):
-
-        assert z.shape[-1] == self.e_dim
-
-        # B x V
-        d = torch.sum(z ** 2, dim=1, keepdim=True) + \
-            torch.sum(self.embedding.weight ** 2, dim=1) - 2 * \
-            torch.matmul(z, self.embedding.weight.t())
-        # B x 1
-        min_encoding_indices = torch.argmin(d, dim=1)
-        return min_encoding_indices
-
-    def dequantize(self, indices):
-
-        index_flattened = indices.view(-1)
-        z_q = self.embedding(index_flattened)
-        z_q = z_q.view(indices.shape + (self.e_dim, )).contiguous()
-        return z_q
-
-    def preprocess(self, x):
-        # NCT -> NTC -> [NT, C]
-        x = x.permute(0, 2, 1).contiguous()
-        x = x.view(-1, x.shape[-1])  
-        return x
-
-
-
-class QuantizeReset(nn.Module):
-    def __init__(self, nb_code, code_dim, args):
-        super().__init__()
-        self.nb_code = nb_code
-        self.code_dim = code_dim
-        self.reset_codebook()
-        self.codebook = nn.Parameter(torch.randn(nb_code, code_dim))
-        
-    def reset_codebook(self):
-        self.init = False
-        self.code_count = None
-
-    def _tile(self, x):
-        nb_code_x, code_dim = x.shape
-        if nb_code_x < self.nb_code:
-            n_repeats = (self.nb_code + nb_code_x - 1) // nb_code_x
-            std = 0.01 / np.sqrt(code_dim)
-            out = x.repeat(n_repeats, 1)
-            out = out + torch.randn_like(out) * std
-        else :
-            out = x
-        return out
-
-    def init_codebook(self, x):
-        out = self._tile(x)
-        self.codebook = nn.Parameter(out[:self.nb_code])
-        self.code_count = torch.ones(self.nb_code, device=self.codebook.device)
-        self.init = True
-        
-    @torch.no_grad()
-    def compute_perplexity(self, code_idx) : 
-        # Calculate new centres
-        code_onehot = torch.zeros(self.nb_code, code_idx.shape[0], device=code_idx.device)  # nb_code, N * L
-        code_onehot.scatter_(0, code_idx.view(1, code_idx.shape[0]), 1)
-
-        code_count = code_onehot.sum(dim=-1)  # nb_code
-        prob = code_count / torch.sum(code_count)  
-        perplexity = torch.exp(-torch.sum(prob * torch.log(prob + 1e-7)))
-        return perplexity
-    
-    def update_codebook(self, x, code_idx):
-        
-        code_onehot = torch.zeros(self.nb_code, x.shape[0], device=x.device)  # nb_code, N * L
-        code_onehot.scatter_(0, code_idx.view(1, x.shape[0]), 1)
-
-        code_count = code_onehot.sum(dim=-1)  # nb_code
-
-        out = self._tile(x)
-        code_rand = out[:self.nb_code]
-
-        # Update centres
-        self.code_count = code_count  # nb_code
-        usage = (self.code_count.view(self.nb_code, 1) >= 1.0).float()
-
-        self.codebook.data = usage * self.codebook.data + (1 - usage) * code_rand
-        prob = code_count / torch.sum(code_count)  
-        perplexity = torch.exp(-torch.sum(prob * torch.log(prob + 1e-7)))
-
-            
-        return perplexity
-
-    def preprocess(self, x):
-        # NCT -> NTC -> [NT, C]
-        x = x.permute(0, 2, 1).contiguous()
-        x = x.view(-1, x.shape[-1])  
-        return x
-
-    def quantize(self, x):
-        # Calculate latent code x_l
-        k_w = self.codebook.t()
-        distance = torch.sum(x ** 2, dim=-1, keepdim=True) - 2 * torch.matmul(x, k_w) + torch.sum(k_w ** 2, dim=0,
-                                                                                            keepdim=True)  # (N * L, b)
-        _, code_idx = torch.min(distance, dim=-1)
-        return code_idx
-
-    def dequantize(self, code_idx):
-        x = F.embedding(code_idx, self.codebook)
-        return x
-
-    
-    def forward(self, x):
-        N, width, T = x.shape
-        # Preprocess
-        x = self.preprocess(x)
-        # Init codebook if not inited
-        if self.training and not self.init:
-            self.init_codebook(x)
-        # quantize and dequantize through bottleneck
-        code_idx = self.quantize(x)
-        x_d = self.dequantize(code_idx)
-        # Update embeddings
-        if self.training:
-            perplexity = self.update_codebook(x, code_idx)
-        else : 
-            perplexity = self.compute_perplexity(code_idx)
-        
-        # Loss
-        commit_loss = F.mse_loss(x, x_d.detach())
-
-        # Passthrough
-        x_d = x + (x_d - x).detach()
-
-        # Postprocess
-        x_d = x_d.view(N, T, -1).permute(0, 2, 1).contiguous()   #(N, DIM, T)
-        
-        return x_d, commit_loss, perplexity
-
-class QuantizeEMA(nn.Module):
-    def __init__(self, nb_code, code_dim, args):
-        super().__init__()
-        self.nb_code = nb_code
-        self.code_dim = code_dim
-        self.mu = 0.99
-        self.reset_codebook()
-        
-    def reset_codebook(self):
-        self.init = False
-        self.code_sum = None
-        self.code_count = None
-        self.register_buffer('codebook', torch.zeros(self.nb_code, self.code_dim).cuda())
-
-    def _tile(self, x):
-        nb_code_x, code_dim = x.shape
-        if nb_code_x < self.nb_code:
-            n_repeats = (self.nb_code + nb_code_x - 1) // nb_code_x
-            std = 0.01 / np.sqrt(code_dim)
-            out = x.repeat(n_repeats, 1)
-            out = out + torch.randn_like(out) * std
-        else :
-            out = x
-        return out
-
-    def init_codebook(self, x):
-        out = self._tile(x)
-        self.codebook = out[:self.nb_code]
-        self.code_sum = self.codebook.clone()
-        self.code_count = torch.ones(self.nb_code, device=self.codebook.device)
-        self.init = True
-        
-    @torch.no_grad()
-    def compute_perplexity(self, code_idx) : 
-        # Calculate new centres
-        code_onehot = torch.zeros(self.nb_code, code_idx.shape[0], device=code_idx.device)  # nb_code, N * L
-        code_onehot.scatter_(0, code_idx.view(1, code_idx.shape[0]), 1)
-
-        code_count = code_onehot.sum(dim=-1)  # nb_code
-        prob = code_count / torch.sum(code_count)  
-        perplexity = torch.exp(-torch.sum(prob * torch.log(prob + 1e-7)))
-        return perplexity
-    
-    @torch.no_grad()
-    def update_codebook(self, x, code_idx):
-        
-        code_onehot = torch.zeros(self.nb_code, x.shape[0], device=x.device)  # nb_code, N * L
-        code_onehot.scatter_(0, code_idx.view(1, x.shape[0]), 1)
-
-        code_sum = torch.matmul(code_onehot, x)  # nb_code, w
-        code_count = code_onehot.sum(dim=-1)  # nb_code
-
-        # Update centres
-        self.code_sum = self.mu * self.code_sum + (1. - self.mu) * code_sum  # w, nb_code
-        self.code_count = self.mu * self.code_count + (1. - self.mu) * code_count  # nb_code
-
-        code_update = self.code_sum.view(self.nb_code, self.code_dim) / self.code_count.view(self.nb_code, 1)
-
-        self.codebook = code_update
-        prob = code_count / torch.sum(code_count)  
-        perplexity = torch.exp(-torch.sum(prob * torch.log(prob + 1e-7)))
-            
-        return perplexity
-
-    def preprocess(self, x):
-        # NCT -> NTC -> [NT, C]
-        x = x.permute(0, 2, 1).contiguous()
-        x = x.view(-1, x.shape[-1])  
-        return x
-
-    def quantize(self, x):
-        # Calculate latent code x_l
-        k_w = self.codebook.t()
-        distance = torch.sum(x ** 2, dim=-1, keepdim=True) - 2 * torch.matmul(x, k_w) + torch.sum(k_w ** 2, dim=0,
-                                                                                            keepdim=True)  # (N * L, b)
-        _, code_idx = torch.min(distance, dim=-1)
-        return code_idx
-
-    def dequantize(self, code_idx):
-        x = F.embedding(code_idx, self.codebook)
-        return x
-
-    
-    def forward(self, x):
-        N, width, T = x.shape
-
-        # Preprocess
-        x = self.preprocess(x)
-
-        # Init codebook if not inited
-        if self.training and not self.init:
-            self.init_codebook(x)
-
-        # quantize and dequantize through bottleneck
-        code_idx = self.quantize(x)
-        x_d = self.dequantize(code_idx)
-
-        # Update embeddings
-        if self.training:
-            perplexity = self.update_codebook(x, code_idx)
-        else : 
-            perplexity = self.compute_perplexity(code_idx)
-        
-        # Loss
-        commit_loss = F.mse_loss(x, x_d.detach())
-
-        # Passthrough
-        x_d = x + (x_d - x).detach()
-
-        # Postprocess
-        x_d = x_d.view(N, T, -1).permute(0, 2, 1).contiguous()   #(N, DIM, T)
-        
-        return x_d, commit_loss, perplexity

spaces/AIGC-Audio/AudioGPT/text_to_speech/modules/tts/commons/align_ops.py

@@ -1,25 +0,0 @@
-import torch
-import torch.nn.functional as F
-
-
-def build_word_mask(x2word, y2word):
-    return (x2word[:, :, None] == y2word[:, None, :]).long()
-
-
-def mel2ph_to_mel2word(mel2ph, ph2word):
-    mel2word = (ph2word - 1).gather(1, (mel2ph - 1).clamp(min=0)) + 1
-    mel2word = mel2word * (mel2ph > 0).long()
-    return mel2word
-
-
-def clip_mel2token_to_multiple(mel2token, frames_multiple):
-    max_frames = mel2token.shape[1] // frames_multiple * frames_multiple
-    mel2token = mel2token[:, :max_frames]
-    return mel2token
-
-
-def expand_states(h, mel2token):
-    h = F.pad(h, [0, 0, 1, 0])
-    mel2token_ = mel2token[..., None].repeat([1, 1, h.shape[-1]])
-    h = torch.gather(h, 1, mel2token_)  # [B, T, H]
-    return h

spaces/AIGC-Audio/AudioGPT/text_to_speech/modules/vocoder/parallel_wavegan/layers/residual_stack.py

@@ -1,75 +0,0 @@
-# -*- coding: utf-8 -*-
-
-# Copyright 2020 Tomoki Hayashi
-#  MIT License (https://opensource.org/licenses/MIT)
-
-"""Residual stack module in MelGAN."""
-
-import torch
-
-from . import CausalConv1d
-
-
-class ResidualStack(torch.nn.Module):
-    """Residual stack module introduced in MelGAN."""
-
-    def __init__(self,
-                 kernel_size=3,
-                 channels=32,
-                 dilation=1,
-                 bias=True,
-                 nonlinear_activation="LeakyReLU",
-                 nonlinear_activation_params={"negative_slope": 0.2},
-                 pad="ReflectionPad1d",
-                 pad_params={},
-                 use_causal_conv=False,
-                 ):
-        """Initialize ResidualStack module.
-
-        Args:
-            kernel_size (int): Kernel size of dilation convolution layer.
-            channels (int): Number of channels of convolution layers.
-            dilation (int): Dilation factor.
-            bias (bool): Whether to add bias parameter in convolution layers.
-            nonlinear_activation (str): Activation function module name.
-            nonlinear_activation_params (dict): Hyperparameters for activation function.
-            pad (str): Padding function module name before dilated convolution layer.
-            pad_params (dict): Hyperparameters for padding function.
-            use_causal_conv (bool): Whether to use causal convolution.
-
-        """
-        super(ResidualStack, self).__init__()
-
-        # defile residual stack part
-        if not use_causal_conv:
-            assert (kernel_size - 1) % 2 == 0, "Not support even number kernel size."
-            self.stack = torch.nn.Sequential(
-                getattr(torch.nn, nonlinear_activation)(**nonlinear_activation_params),
-                getattr(torch.nn, pad)((kernel_size - 1) // 2 * dilation, **pad_params),
-                torch.nn.Conv1d(channels, channels, kernel_size, dilation=dilation, bias=bias),
-                getattr(torch.nn, nonlinear_activation)(**nonlinear_activation_params),
-                torch.nn.Conv1d(channels, channels, 1, bias=bias),
-            )
-        else:
-            self.stack = torch.nn.Sequential(
-                getattr(torch.nn, nonlinear_activation)(**nonlinear_activation_params),
-                CausalConv1d(channels, channels, kernel_size, dilation=dilation,
-                             bias=bias, pad=pad, pad_params=pad_params),
-                getattr(torch.nn, nonlinear_activation)(**nonlinear_activation_params),
-                torch.nn.Conv1d(channels, channels, 1, bias=bias),
-            )
-
-        # defile extra layer for skip connection
-        self.skip_layer = torch.nn.Conv1d(channels, channels, 1, bias=bias)
-
-    def forward(self, c):
-        """Calculate forward propagation.
-
-        Args:
-            c (Tensor): Input tensor (B, channels, T).
-
-        Returns:
-            Tensor: Output tensor (B, chennels, T).
-
-        """
-        return self.stack(c) + self.skip_layer(c)

spaces/AIGC-Audio/AudioGPT/text_to_speech/modules/vocoder/parallel_wavegan/layers/upsample.py

@@ -1,183 +0,0 @@
-# -*- coding: utf-8 -*-
-
-"""Upsampling module.
-
-This code is modified from https://github.com/r9y9/wavenet_vocoder.
-
-"""
-
-import numpy as np
-import torch
-import torch.nn.functional as F
-
-from . import Conv1d
-
-
-class Stretch2d(torch.nn.Module):
-    """Stretch2d module."""
-
-    def __init__(self, x_scale, y_scale, mode="nearest"):
-        """Initialize Stretch2d module.
-
-        Args:
-            x_scale (int): X scaling factor (Time axis in spectrogram).
-            y_scale (int): Y scaling factor (Frequency axis in spectrogram).
-            mode (str): Interpolation mode.
-
-        """
-        super(Stretch2d, self).__init__()
-        self.x_scale = x_scale
-        self.y_scale = y_scale
-        self.mode = mode
-
-    def forward(self, x):
-        """Calculate forward propagation.
-
-        Args:
-            x (Tensor): Input tensor (B, C, F, T).
-
-        Returns:
-            Tensor: Interpolated tensor (B, C, F * y_scale, T * x_scale),
-
-        """
-        return F.interpolate(
-            x, scale_factor=(self.y_scale, self.x_scale), mode=self.mode)
-
-
-class Conv2d(torch.nn.Conv2d):
-    """Conv2d module with customized initialization."""
-
-    def __init__(self, *args, **kwargs):
-        """Initialize Conv2d module."""
-        super(Conv2d, self).__init__(*args, **kwargs)
-
-    def reset_parameters(self):
-        """Reset parameters."""
-        self.weight.data.fill_(1. / np.prod(self.kernel_size))
-        if self.bias is not None:
-            torch.nn.init.constant_(self.bias, 0.0)
-
-
-class UpsampleNetwork(torch.nn.Module):
-    """Upsampling network module."""
-
-    def __init__(self,
-                 upsample_scales,
-                 nonlinear_activation=None,
-                 nonlinear_activation_params={},
-                 interpolate_mode="nearest",
-                 freq_axis_kernel_size=1,
-                 use_causal_conv=False,
-                 ):
-        """Initialize upsampling network module.
-
-        Args:
-            upsample_scales (list): List of upsampling scales.
-            nonlinear_activation (str): Activation function name.
-            nonlinear_activation_params (dict): Arguments for specified activation function.
-            interpolate_mode (str): Interpolation mode.
-            freq_axis_kernel_size (int): Kernel size in the direction of frequency axis.
-
-        """
-        super(UpsampleNetwork, self).__init__()
-        self.use_causal_conv = use_causal_conv
-        self.up_layers = torch.nn.ModuleList()
-        for scale in upsample_scales:
-            # interpolation layer
-            stretch = Stretch2d(scale, 1, interpolate_mode)
-            self.up_layers += [stretch]
-
-            # conv layer
-            assert (freq_axis_kernel_size - 1) % 2 == 0, "Not support even number freq axis kernel size."
-            freq_axis_padding = (freq_axis_kernel_size - 1) // 2
-            kernel_size = (freq_axis_kernel_size, scale * 2 + 1)
-            if use_causal_conv:
-                padding = (freq_axis_padding, scale * 2)
-            else:
-                padding = (freq_axis_padding, scale)
-            conv = Conv2d(1, 1, kernel_size=kernel_size, padding=padding, bias=False)
-            self.up_layers += [conv]
-
-            # nonlinear
-            if nonlinear_activation is not None:
-                nonlinear = getattr(torch.nn, nonlinear_activation)(**nonlinear_activation_params)
-                self.up_layers += [nonlinear]
-
-    def forward(self, c):
-        """Calculate forward propagation.
-
-        Args:
-            c : Input tensor (B, C, T).
-
-        Returns:
-            Tensor: Upsampled tensor (B, C, T'), where T' = T * prod(upsample_scales).
-
-        """
-        c = c.unsqueeze(1)  # (B, 1, C, T)
-        for f in self.up_layers:
-            if self.use_causal_conv and isinstance(f, Conv2d):
-                c = f(c)[..., :c.size(-1)]
-            else:
-                c = f(c)
-        return c.squeeze(1)  # (B, C, T')
-
-
-class ConvInUpsampleNetwork(torch.nn.Module):
-    """Convolution + upsampling network module."""
-
-    def __init__(self,
-                 upsample_scales,
-                 nonlinear_activation=None,
-                 nonlinear_activation_params={},
-                 interpolate_mode="nearest",
-                 freq_axis_kernel_size=1,
-                 aux_channels=80,
-                 aux_context_window=0,
-                 use_causal_conv=False
-                 ):
-        """Initialize convolution + upsampling network module.
-
-        Args:
-            upsample_scales (list): List of upsampling scales.
-            nonlinear_activation (str): Activation function name.
-            nonlinear_activation_params (dict): Arguments for specified activation function.
-            mode (str): Interpolation mode.
-            freq_axis_kernel_size (int): Kernel size in the direction of frequency axis.
-            aux_channels (int): Number of channels of pre-convolutional layer.
-            aux_context_window (int): Context window size of the pre-convolutional layer.
-            use_causal_conv (bool): Whether to use causal structure.
-
-        """
-        super(ConvInUpsampleNetwork, self).__init__()
-        self.aux_context_window = aux_context_window
-        self.use_causal_conv = use_causal_conv and aux_context_window > 0
-        # To capture wide-context information in conditional features
-        kernel_size = aux_context_window + 1 if use_causal_conv else 2 * aux_context_window + 1
-        # NOTE(kan-bayashi): Here do not use padding because the input is already padded
-        self.conv_in = Conv1d(aux_channels, aux_channels, kernel_size=kernel_size, bias=False)
-        self.upsample = UpsampleNetwork(
-            upsample_scales=upsample_scales,
-            nonlinear_activation=nonlinear_activation,
-            nonlinear_activation_params=nonlinear_activation_params,
-            interpolate_mode=interpolate_mode,
-            freq_axis_kernel_size=freq_axis_kernel_size,
-            use_causal_conv=use_causal_conv,
-        )
-
-    def forward(self, c):
-        """Calculate forward propagation.
-
-        Args:
-            c : Input tensor (B, C, T').
-
-        Returns:
-            Tensor: Upsampled tensor (B, C, T),
-                where T = (T' - aux_context_window * 2) * prod(upsample_scales).
-
-        Note:
-            The length of inputs considers the context window size.
-
-        """
-        c_ = self.conv_in(c)
-        c = c_[:, :, :-self.aux_context_window] if self.use_causal_conv else c_
-        return self.upsample(c)

spaces/AIGText/GlyphControl/ldm/models/diffusion/sampling_util.py

@@ -1,22 +0,0 @@
-import torch
-import numpy as np
-
-
-def append_dims(x, target_dims):
-    """Appends dimensions to the end of a tensor until it has target_dims dimensions.
-    From https://github.com/crowsonkb/k-diffusion/blob/master/k_diffusion/utils.py"""
-    dims_to_append = target_dims - x.ndim
-    if dims_to_append < 0:
-        raise ValueError(f'input has {x.ndim} dims but target_dims is {target_dims}, which is less')
-    return x[(...,) + (None,) * dims_to_append]
-
-
-def norm_thresholding(x0, value):
-    s = append_dims(x0.pow(2).flatten(1).mean(1).sqrt().clamp(min=value), x0.ndim)
-    return x0 * (value / s)
-
-
-def spatial_norm_thresholding(x0, value):
-    # b c h w
-    s = x0.pow(2).mean(1, keepdim=True).sqrt().clamp(min=value)
-    return x0 * (value / s)

spaces/ATang0729/Forecast4Muses/Model/Model6/Model6_0_ClothesDetection/mmyolo/configs/yolov5/crowdhuman/yolov5_s-v61_8xb16-300e_ignore_crowdhuman.py

@@ -1,63 +0,0 @@
-_base_ = 'yolov5_s-v61_fast_8xb16-300e_crowdhuman.py'
-
-model = dict(
-    data_preprocessor=dict(
-        _delete_=True,
-        type='mmdet.DetDataPreprocessor',
-        mean=[0., 0., 0.],
-        std=[255., 255., 255.],
-        bgr_to_rgb=True),
-    bbox_head=dict(ignore_iof_thr=0.5))
-
-img_scale = _base_.img_scale
-
-albu_train_transforms = [
-    dict(type='Blur', p=0.01),
-    dict(type='MedianBlur', p=0.01),
-    dict(type='ToGray', p=0.01),
-    dict(type='CLAHE', p=0.01)
-]
-
-pre_transform = [
-    dict(type='LoadImageFromFile', file_client_args=_base_.file_client_args),
-    # only change this
-    dict(type='mmdet.LoadAnnotations', with_bbox=True)
-]
-
-train_pipeline = [
-    *pre_transform,
-    dict(
-        type='Mosaic',
-        img_scale=img_scale,
-        pad_val=114.0,
-        pre_transform=pre_transform),
-    dict(
-        type='YOLOv5RandomAffine',
-        max_rotate_degree=0.0,
-        max_shear_degree=0.0,
-        scaling_ratio_range=(0.5, 1.5),
-        # img_scale is (width, height)
-        border=(-img_scale[0] // 2, -img_scale[1] // 2),
-        border_val=(114, 114, 114)),
-    dict(
-        type='mmdet.Albu',
-        transforms=albu_train_transforms,
-        bbox_params=dict(
-            type='BboxParams',
-            format='pascal_voc',
-            label_fields=['gt_bboxes_labels', 'gt_ignore_flags']),
-        keymap={
-            'img': 'image',
-            'gt_bboxes': 'bboxes'
-        }),
-    dict(type='YOLOv5HSVRandomAug'),
-    dict(type='mmdet.RandomFlip', prob=0.5),
-    dict(
-        type='mmdet.PackDetInputs',
-        meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape', 'flip',
-                   'flip_direction'))
-]
-
-train_dataloader = dict(
-    collate_fn=dict(type='pseudo_collate'),
-    dataset=dict(pipeline=train_pipeline))

spaces/AchyuthGamer/OpenGPT/g4f/Provider/needs_auth/OpenaiChat.py

@@ -1,125 +0,0 @@
-from __future__ import annotations
-
-import uuid, json, time
-
-from ..base_provider import AsyncGeneratorProvider
-from ..helper import get_browser, get_cookies, format_prompt
-from ...typing import AsyncGenerator
-from ...requests import StreamSession
-
-class OpenaiChat(AsyncGeneratorProvider):
-    url                   = "https://chat.openai.com"
-    needs_auth            = True
-    working               = True
-    supports_gpt_35_turbo = True
-    _access_token         = None
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: list[dict[str, str]],
-        proxy: str = None,
-        access_token: str = None,
-        cookies: dict = None,
-        timeout: int = 30,
-        **kwargs: dict
-    ) -> AsyncGenerator:
-        proxies = {"https": proxy}
-        if not access_token:
-            access_token = await cls.get_access_token(cookies, proxies)
-        headers = {
-            "Accept": "text/event-stream",
-            "Authorization": f"Bearer {access_token}",
-        }
-        async with StreamSession(proxies=proxies, headers=headers, impersonate="chrome107", timeout=timeout) as session:
-            messages = [
-                {
-                    "id": str(uuid.uuid4()),
-                    "author": {"role": "user"},
-                    "content": {"content_type": "text", "parts": [format_prompt(messages)]},
-                },
-            ]
-            data = {
-                "action": "next",
-                "messages": messages,
-                "conversation_id": None,
-                "parent_message_id": str(uuid.uuid4()),
-                "model": "text-davinci-002-render-sha",
-                "history_and_training_disabled": True,
-            }
-            async with session.post(f"{cls.url}/backend-api/conversation", json=data) as response:
-                response.raise_for_status()
-                last_message = ""
-                async for line in response.iter_lines():
-                    if line.startswith(b"data: "):
-                        line = line[6:]
-                        if line == b"[DONE]":
-                            break
-                        try:
-                            line = json.loads(line)
-                        except:
-                            continue
-                        if "message" not in line or "message_type" not in line["message"]["metadata"]:
-                            continue
-                        if line["message"]["metadata"]["message_type"] == "next":
-                            new_message = line["message"]["content"]["parts"][0]
-                            yield new_message[len(last_message):]
-                            last_message = new_message
-
-    @classmethod
-    def browse_access_token(cls) -> str:
-        try:
-            from selenium.webdriver.common.by import By
-            from selenium.webdriver.support.ui import WebDriverWait
-            from selenium.webdriver.support import expected_conditions as EC
-
-            driver = get_browser()
-        except ImportError:
-            return
-
-        driver.get(f"{cls.url}/")
-        try:
-            WebDriverWait(driver, 1200).until(
-                EC.presence_of_element_located((By.ID, "prompt-textarea"))
-            )
-            javascript = "return (await (await fetch('/api/auth/session')).json())['accessToken']"
-            return driver.execute_script(javascript)
-        finally:
-            time.sleep(1)
-            driver.quit()
-
-    @classmethod
-    async def fetch_access_token(cls, cookies: dict, proxies: dict = None) -> str:
-        async with StreamSession(proxies=proxies, cookies=cookies, impersonate="chrome107") as session:
-            async with session.get(f"{cls.url}/api/auth/session") as response:
-                response.raise_for_status()
-                auth = await response.json()
-                if "accessToken" in auth:
-                    return auth["accessToken"]
-
-    @classmethod
-    async def get_access_token(cls, cookies: dict = None, proxies: dict = None) -> str:
-        if not cls._access_token:
-            cookies = cookies if cookies else get_cookies("chat.openai.com")
-            if cookies:
-                cls._access_token = await cls.fetch_access_token(cookies, proxies)
-        if not cls._access_token:
-            cls._access_token = cls.browse_access_token()
-        if not cls._access_token:
-            raise RuntimeError("Read access token failed")
-        return cls._access_token
-
-    @classmethod
-    @property
-    def params(cls):
-        params = [
-            ("model", "str"),
-            ("messages", "list[dict[str, str]]"),
-            ("stream", "bool"),
-            ("proxy", "str"),
-            ("access_token", "str"),
-            ("cookies", "dict[str, str]")
-        ]
-        param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.provider.{cls.__name__} supports: ({param})"

spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/plugins/boids-plugin.js

@@ -1,18 +0,0 @@
-import Boids from './boids.js';
-
-class BoidsPlugin extends Phaser.Plugins.BasePlugin {
-
-    constructor(pluginManager) {
-        super(pluginManager);
-    }
-
-    start() {
-        var eventEmitter = this.game.events;
-        eventEmitter.on('destroy', this.destroy, this);
-    }
-
-    add(gameObject, config) {
-        return new Boids(gameObject, config);
-    }
-}
-export default BoidsPlugin;

spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/plugins/stringtemplate.js

@@ -1,2 +0,0 @@
-import StringTemplate from './string/stringtemplate/StringTemplate.js';
-export default StringTemplate;

spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/basesizer/ClickMethods.js

@@ -1,65 +0,0 @@
-import Click from '../click/Click.js';
-
-export default {
-    onClick(gameObject, callback, scope, config) {
-        if (!gameObject) {
-            return this;
-        }
-
-        if (typeof (gameObject) === 'function') {
-            config = scope;
-            scope = callback;
-            callback = gameObject;
-            gameObject = this;
-        }
-
-        if (gameObject._click === undefined) {
-            gameObject._click = new Click(gameObject, config);
-        }
-        gameObject._click.on('click', callback, scope);
-
-        return this;
-    },
-
-    offClick(gameObject, callback, scope) {
-        if (typeof (gameObject) === 'function') {
-            scope = callback;
-            callback = gameObject;
-            gameObject = this;
-        }
-
-        if (gameObject._click === undefined) {
-            return this;
-        }
-        gameObject._click.off('click', callback, scope);
-
-        return this;
-    },
-
-    enableClick(gameObject, enabled) {
-        if (gameObject && typeof (gameObject) !== 'object') {
-            enabled = gameObject;
-            gameObject = this;
-        }
-
-        if (gameObject._click === undefined) {
-            return this;
-        }
-
-        gameObject._click.setEnable(enabled);
-        return this;
-    },
-
-    disableClick(gameObject) {
-        if (gameObject && typeof (gameObject) !== 'object') {
-            gameObject = this;
-        }
-
-        if (gameObject._click === undefined) {
-            return this;
-        }
-        gameObject._click.setEnable(false);
-
-        return this;
-    }
-}

spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/gridsizer/Factory.d.ts

@@ -1,24 +0,0 @@
-import GridSizer from './GridSizer';
-
-
-export default function (
-    config?: GridSizer.IConfig
-): GridSizer;
-
-export default function (
-    x: number, y: number,
-    config?: GridSizer.IConfig
-): GridSizer;
-
-export default function (
-    x: number, y: number,
-    width: number, height: number,
-    config?: GridSizer.IConfig
-): GridSizer;
-
-export default function (
-    x: number, y: number,
-    width: number, height: number,
-    column: number, row: number,
-    config?: GridSizer.IConfig
-): GridSizer;

spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/sizer/GetChildrenSizers.js

@@ -1,15 +0,0 @@
-var GetChildrenSizers = function(out) {
-    if (out === undefined) {
-        out = [];
-    }
-    var children = this.sizerChildren,
-        child;
-    for (var i = 0, cnt = children.length; i < cnt; i++) {
-        child = children[i];
-        if (child.isRexSizer) {
-            out.push(child);
-        }
-    }
-    return out;
-}
-export default GetChildrenSizers;

spaces/Akmyradov/TurkmenTTSweSTT/uroman/bin/de-accent.pl

@@ -1,201 +0,0 @@
-#!/usr/bin/perl -w
-
-sub print_version {
-   print STDERR "$0 version 1.1\n";
-   print STDERR "   Author: Ulf Hermjakob\n";
-   print STDERR "   Last changed: March 14, 2011\n";
-}
-
-sub print_usage {
-   print STDERR "$0 [options] < with_accents.txt > without_accents.txt\n";
-   print STDERR "   -h or -help\n";
-   print STDERR "   -v or -version\n";
-}
-
-sub de_accent_string {
-   local($s) = @_;
-
-   # $s =~ tr/A-Z/a-z/;
-   unless (0) {
-      # Latin-1
-      if ($s =~ /\xC3[\x80-\xBF]/) {
-         $s =~ s/(À|Á|Â|Ã|Ä|Å)/A/g;
-         $s =~ s/Æ/Ae/g;
-         $s =~ s/Ç/C/g;
-         $s =~ s/Ð/D/g;
-         $s =~ s/(È|É|Ê|Ë)/E/g;
-         $s =~ s/(Ì|Í|Î|Ï)/I/g;
-         $s =~ s/Ñ/N/g;
-         $s =~ s/(Ò|Ó|Ô|Õ|Ö|Ø)/O/g;
-         $s =~ s/(Ù|Ú|Û|Ü)/U/g;
-         $s =~ s/Þ/Th/g;
-         $s =~ s/Ý/Y/g;
-         $s =~ s/(à|á|â|ã|ä|å)/a/g;
-         $s =~ s/æ/ae/g;
-         $s =~ s/ç/c/g;
-         $s =~ s/(è|é|ê|ë)/e/g;
-         $s =~ s/(ì|í|î|ï)/i/g;
-         $s =~ s/ð/d/g;
-         $s =~ s/ñ/n/g;
-         $s =~ s/(ò|ó|ô|õ|ö)/o/g;
-         $s =~ s/ß/ss/g;
-         $s =~ s/þ/th/g;
-         $s =~ s/(ù|ú|û|ü)/u/g;
-         $s =~ s/(ý|ÿ)/y/g;
-      }
-      # Latin Extended-A
-      if ($s =~ /[\xC4-\xC5][\x80-\xBF]/) {
-         $s =~ s/(Ā|Ă|Ą)/A/g;
-         $s =~ s/(ā|ă|ą)/a/g;
-         $s =~ s/(Ć|Ĉ|Ċ|Č)/C/g;
-         $s =~ s/(ć|ĉ|ċ|č)/c/g;
-         $s =~ s/(Ď|Đ)/D/g;
-         $s =~ s/(ď|đ)/d/g;
-         $s =~ s/(Ē|Ĕ|Ė|Ę|Ě)/E/g;
-         $s =~ s/(ē|ĕ|ė|ę|ě)/e/g;
-         $s =~ s/(Ĝ|Ğ|Ġ|Ģ)/G/g;
-         $s =~ s/(ĝ|ğ|ġ|ģ)/g/g;
-         $s =~ s/(Ĥ|Ħ)/H/g;
-         $s =~ s/(ĥ|ħ)/h/g;
-         $s =~ s/(Ĩ|Ī|Ĭ|Į|İ)/I/g;
-         $s =~ s/(ĩ|ī|ĭ|į|ı)/i/g;
-         $s =~ s/IJ/Ij/g;
-         $s =~ s/ij/ij/g;
-         $s =~ s/Ĵ/J/g;
-         $s =~ s/ĵ/j/g;
-         $s =~ s/Ķ/K/g;
-         $s =~ s/(ķ|ĸ)/k/g;
-         $s =~ s/(Ĺ|Ļ|Ľ|Ŀ|Ł)/L/g;
-         $s =~ s/(ļ|ľ|ŀ|ł)/l/g;
-         $s =~ s/(Ń|Ņ|Ň|Ŋ)/N/g;
-         $s =~ s/(ń|ņ|ň|ʼn|ŋ)/n/g;
-         $s =~ s/(Ō|Ŏ|Ő)/O/g;
-         $s =~ s/(ō|ŏ|ő)/o/g;
-         $s =~ s/Œ/Oe/g;
-         $s =~ s/œ/oe/g;
-         $s =~ s/(Ŕ|Ŗ|Ř)/R/g;
-         $s =~ s/(ŕ|ŗ|ř)/r/g;
-         $s =~ s/(Ś|Ŝ|Ş|Š)/S/g;
-         $s =~ s/(ś|ŝ|ş|š|ſ)/s/g;
-         $s =~ s/(Ţ|Ť|Ŧ)/T/g;
-         $s =~ s/(ţ|ť|ŧ)/t/g;
-         $s =~ s/(Ũ|Ū|Ŭ|Ů|Ű|Ų)/U/g;
-         $s =~ s/(ũ|ū|ŭ|ů|ű|ų)/u/g;
-         $s =~ s/Ŵ/W/g;
-         $s =~ s/ŵ/w/g;
-         $s =~ s/(Ŷ|Ÿ)/Y/g;
-         $s =~ s/ŷ/y/g;
-         $s =~ s/(Ź|Ż|Ž)/Z/g;
-         $s =~ s/(ź|ż|ž)/z/g;
-      }
-      # Latin Extended Additional
-      if ($s =~ /\xE1[\xB8-\xBF][\x80-\xBF]/) {
-          $s =~ s/(ḁ|ạ|ả|ấ|ầ|ẩ|ẫ|ậ|ắ|ằ|ẳ|ẵ|ặ|ẚ)/a/g;
-          $s =~ s/(ḃ|ḅ|ḇ)/b/g;
-          $s =~ s/(ḉ)/c/g;
-          $s =~ s/(ḋ|ḍ|ḏ|ḑ|ḓ)/d/g;
-          $s =~ s/(ḕ|ḗ|ḙ|ḛ|ḝ|ẹ|ẻ|ẽ|ế|ề|ể|ễ|ệ)/e/g;
-          $s =~ s/(ḟ)/f/g;
-          $s =~ s/(ḡ)/g/g;
-          $s =~ s/(ḣ|ḥ|ḧ|ḩ|ḫ)/h/g;
-          $s =~ s/(ḭ|ḯ|ỉ|ị)/i/g;
-          $s =~ s/(ḱ|ḳ|ḵ)/k/g;
-          $s =~ s/(ḷ|ḹ|ḻ|ḽ)/l/g;
-          $s =~ s/(ḿ|ṁ|ṃ)/m/g;
-          $s =~ s/(ṅ|ṇ|ṉ|ṋ)/m/g;
-          $s =~ s/(ọ|ỏ|ố|ồ|ổ|ỗ|ộ|ớ|ờ|ở|ỡ|ợ|ṍ|ṏ|ṑ|ṓ)/o/g;
-          $s =~ s/(ṕ|ṗ)/p/g;
-          $s =~ s/(ṙ|ṛ|ṝ|ṟ)/r/g;
-          $s =~ s/(ṡ|ṣ|ṥ|ṧ|ṩ|ẛ)/s/g;
-          $s =~ s/(ṫ|ṭ|ṯ|ṱ)/t/g;
-          $s =~ s/(ṳ|ṵ|ṷ|ṹ|ṻ|ụ|ủ|ứ|ừ|ử|ữ|ự)/u/g;
-          $s =~ s/(ṽ|ṿ)/v/g;
-          $s =~ s/(ẁ|ẃ|ẅ|ẇ|ẉ|ẘ)/w/g;
-          $s =~ s/(ẋ|ẍ)/x/g;
-          $s =~ s/(ẏ|ỳ|ỵ|ỷ|ỹ|ẙ)/y/g;
-          $s =~ s/(ẑ|ẓ|ẕ)/z/g;
-          $s =~ s/(Ḁ|Ạ|Ả|Ấ|Ầ|Ẩ|Ẫ|Ậ|Ắ|Ằ|Ẳ|Ẵ|Ặ)/A/g;
-          $s =~ s/(Ḃ|Ḅ|Ḇ)/B/g;
-          $s =~ s/(Ḉ)/C/g;
-          $s =~ s/(Ḋ|Ḍ|Ḏ|Ḑ|Ḓ)/D/g;
-          $s =~ s/(Ḕ|Ḗ|Ḙ|Ḛ|Ḝ|Ẹ|Ẻ|Ẽ|Ế|Ề|Ể|Ễ|Ệ)/E/g;
-          $s =~ s/(Ḟ)/F/g;
-          $s =~ s/(Ḡ)/G/g;
-          $s =~ s/(Ḣ|Ḥ|Ḧ|Ḩ|Ḫ)/H/g;
-          $s =~ s/(Ḭ|Ḯ|Ỉ|Ị)/I/g;
-          $s =~ s/(Ḱ|Ḳ|Ḵ)/K/g;
-          $s =~ s/(Ḷ|Ḹ|Ḻ|Ḽ)/L/g;
-          $s =~ s/(Ḿ|Ṁ|Ṃ)/M/g;
-          $s =~ s/(Ṅ|Ṇ|Ṉ|Ṋ)/N/g;
-          $s =~ s/(Ṍ|Ṏ|Ṑ|Ṓ|Ọ|Ỏ|Ố|Ồ|Ổ|Ỗ|Ộ|Ớ|Ờ|Ở|Ỡ|Ợ)/O/g;
-          $s =~ s/(Ṕ|Ṗ)/P/g;
-          $s =~ s/(Ṙ|Ṛ|Ṝ|Ṟ)/R/g;
-          $s =~ s/(Ṡ|Ṣ|Ṥ|Ṧ|Ṩ)/S/g;
-          $s =~ s/(Ṫ|Ṭ|Ṯ|Ṱ)/T/g;
-          $s =~ s/(Ṳ|Ṵ|Ṷ|Ṹ|Ṻ|Ụ|Ủ|Ứ|Ừ|Ử|Ữ|Ự)/U/g;
-          $s =~ s/(Ṽ|Ṿ)/V/g;
-          $s =~ s/(Ẁ|Ẃ|Ẅ|Ẇ|Ẉ)/W/g;
-          $s =~ s/(Ẍ)/X/g;
-          $s =~ s/(Ẏ|Ỳ|Ỵ|Ỷ|Ỹ)/Y/g; 
-          $s =~ s/(Ẑ|Ẓ|Ẕ)/Z/g;
-      }
-      # Greek letters
-      if ($s =~ /\xCE[\x86-\xAB]/) {
-          $s =~ s/ά/α/g;
-          $s =~ s/έ/ε/g;
-          $s =~ s/ί/ι/g;
-          $s =~ s/ϊ/ι/g;
-          $s =~ s/ΐ/ι/g;
-          $s =~ s/ό/ο/g;
-          $s =~ s/ύ/υ/g;
-          $s =~ s/ϋ/υ/g;
-          $s =~ s/ΰ/υ/g;
-          $s =~ s/ώ/ω/g;
-          $s =~ s/Ά/Α/g;
-          $s =~ s/Έ/Ε/g;
-          $s =~ s/Ή/Η/g;
-          $s =~ s/Ί/Ι/g;
-          $s =~ s/Ϊ/Ι/g;
-          $s =~ s/Ύ/Υ/g;
-          $s =~ s/Ϋ/Υ/g;
-          $s =~ s/Ώ/Ω/g;
-      }
-      # Cyrillic letters
-      if ($s =~ /\xD0[\x80-\xAF]/) {
-          $s =~ s/Ѐ/Е/g;
-          $s =~ s/Ё/Е/g;
-          $s =~ s/Ѓ/Г/g;
-          $s =~ s/Ќ/К/g;
-          $s =~ s/Ѝ/И/g;
-          $s =~ s/Й/И/g;
-          $s =~ s/ѐ/е/g;
-          $s =~ s/ё/е/g;
-          $s =~ s/ѓ/г/g;
-          $s =~ s/ќ/к/g;
-          $s =~ s/ѝ/и/g;
-          $s =~ s/й/и/g;
-      }
-   }
-   return $s;
-}
-
-while (@ARGV) {
-   $arg = shift @ARGV;
-   if ($arg =~ /^-*(h|help)$/i) {
-      &print_usage;
-      exit 1;
-   } elsif ($arg =~ /^-*(v|version)$/i) {
-      &print_version;
-      exit 1;
-   } else {
-      print STDERR "Ignoring unrecognized argument $arg\n";
-   }
-}
-
-$line_number = 0;
-while (<>) {
-   $line_number++;
-   print &de_accent_string($_);
-}
-exit 0;
-

spaces/Aloento/9Nine-PITS/transforms.py

@@ -1,198 +0,0 @@
-# from https://github.com/jaywalnut310/vits
-import numpy as np
-import torch
-from torch.nn import functional as F
-
-DEFAULT_MIN_BIN_WIDTH = 1e-3
-DEFAULT_MIN_BIN_HEIGHT = 1e-3
-DEFAULT_MIN_DERIVATIVE = 1e-3
-
-
-def piecewise_rational_quadratic_transform(
-    inputs,
-    unnormalized_widths,
-    unnormalized_heights,
-    unnormalized_derivatives,
-    inverse=False,
-    tails=None,
-    tail_bound=1.,
-    min_bin_width=DEFAULT_MIN_BIN_WIDTH,
-    min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
-    min_derivative=DEFAULT_MIN_DERIVATIVE
-):
-  if tails is None:
-    spline_fn = rational_quadratic_spline
-    spline_kwargs = {}
-  else:
-    spline_fn = unconstrained_rational_quadratic_spline
-    spline_kwargs = {
-      'tails': tails,
-      'tail_bound': tail_bound
-    }
-
-  outputs, logabsdet = spline_fn(
-    inputs=inputs,
-    unnormalized_widths=unnormalized_widths,
-    unnormalized_heights=unnormalized_heights,
-    unnormalized_derivatives=unnormalized_derivatives,
-    inverse=inverse,
-    min_bin_width=min_bin_width,
-    min_bin_height=min_bin_height,
-    min_derivative=min_derivative,
-    **spline_kwargs
-  )
-  return outputs, logabsdet
-
-
-def searchsorted(bin_locations, inputs, eps=1e-6):
-  bin_locations[..., -1] += eps
-  return torch.sum(
-    inputs[..., None] >= bin_locations,
-    dim=-1
-  ) - 1
-
-
-def unconstrained_rational_quadratic_spline(
-    inputs,
-    unnormalized_widths,
-    unnormalized_heights,
-    unnormalized_derivatives,
-    inverse=False,
-    tails='linear',
-    tail_bound=1.,
-    min_bin_width=DEFAULT_MIN_BIN_WIDTH,
-    min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
-    min_derivative=DEFAULT_MIN_DERIVATIVE
-):
-  inside_interval_mask = (inputs >= -tail_bound) & (inputs <= tail_bound)
-  outside_interval_mask = ~inside_interval_mask
-
-  outputs = torch.zeros_like(inputs)
-  logabsdet = torch.zeros_like(inputs)
-
-  if tails == 'linear':
-    unnormalized_derivatives = F.pad(unnormalized_derivatives, pad=(1, 1))
-    constant = np.log(np.exp(1 - min_derivative) - 1)
-    unnormalized_derivatives[..., 0] = constant
-    unnormalized_derivatives[..., -1] = constant
-
-    outputs[outside_interval_mask] = inputs[outside_interval_mask]
-    logabsdet[outside_interval_mask] = 0
-  else:
-    raise RuntimeError('{} tails are not implemented.'.format(tails))
-
-  outputs[inside_interval_mask], logabsdet[inside_interval_mask] = rational_quadratic_spline(
-    inputs=inputs[inside_interval_mask],
-    unnormalized_widths=unnormalized_widths[inside_interval_mask, :],
-    unnormalized_heights=unnormalized_heights[inside_interval_mask, :],
-    unnormalized_derivatives=unnormalized_derivatives[inside_interval_mask, :],
-    inverse=inverse,
-    left=-tail_bound, right=tail_bound, bottom=-tail_bound, top=tail_bound,
-    min_bin_width=min_bin_width,
-    min_bin_height=min_bin_height,
-    min_derivative=min_derivative
-  )
-
-  return outputs, logabsdet
-
-
-def rational_quadratic_spline(
-    inputs,
-    unnormalized_widths,
-    unnormalized_heights,
-    unnormalized_derivatives,
-    inverse=False,
-    left=0., right=1., bottom=0., top=1.,
-    min_bin_width=DEFAULT_MIN_BIN_WIDTH,
-    min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
-    min_derivative=DEFAULT_MIN_DERIVATIVE
-):
-  if torch.min(inputs) < left or torch.max(inputs) > right:
-    raise ValueError('Input to a transform is not within its domain')
-
-  num_bins = unnormalized_widths.shape[-1]
-
-  if min_bin_width * num_bins > 1.0:
-    raise ValueError('Minimal bin width too large for the number of bins')
-  if min_bin_height * num_bins > 1.0:
-    raise ValueError('Minimal bin height too large for the number of bins')
-
-  widths = F.softmax(unnormalized_widths, dim=-1)
-  widths = min_bin_width + (1 - min_bin_width * num_bins) * widths
-  cumwidths = torch.cumsum(widths, dim=-1)
-  cumwidths = F.pad(cumwidths, pad=(1, 0), mode='constant', value=0.0)
-  cumwidths = (right - left) * cumwidths + left
-  cumwidths[..., 0] = left
-  cumwidths[..., -1] = right
-  widths = cumwidths[..., 1:] - cumwidths[..., :-1]
-
-  derivatives = min_derivative + F.softplus(unnormalized_derivatives)
-
-  heights = F.softmax(unnormalized_heights, dim=-1)
-  heights = min_bin_height + (1 - min_bin_height * num_bins) * heights
-  cumheights = torch.cumsum(heights, dim=-1)
-  cumheights = F.pad(cumheights, pad=(1, 0), mode='constant', value=0.0)
-  cumheights = (top - bottom) * cumheights + bottom
-  cumheights[..., 0] = bottom
-  cumheights[..., -1] = top
-  heights = cumheights[..., 1:] - cumheights[..., :-1]
-
-  if inverse:
-    bin_idx = searchsorted(cumheights, inputs)[..., None]
-  else:
-    bin_idx = searchsorted(cumwidths, inputs)[..., None]
-
-  input_cumwidths = cumwidths.gather(-1, bin_idx)[..., 0]
-  input_bin_widths = widths.gather(-1, bin_idx)[..., 0]
-
-  input_cumheights = cumheights.gather(-1, bin_idx)[..., 0]
-  delta = heights / widths
-  input_delta = delta.gather(-1, bin_idx)[..., 0]
-
-  input_derivatives = derivatives.gather(-1, bin_idx)[..., 0]
-  input_derivatives_plus_one = derivatives[..., 1:].gather(-1, bin_idx)[..., 0]
-
-  input_heights = heights.gather(-1, bin_idx)[..., 0]
-
-  if inverse:
-    a = (((inputs - input_cumheights) * (input_derivatives
-                                         + input_derivatives_plus_one
-                                         - 2 * input_delta)
-          + input_heights * (input_delta - input_derivatives)))
-    b = (input_heights * input_derivatives
-         - (inputs - input_cumheights) * (input_derivatives
-                                          + input_derivatives_plus_one
-                                          - 2 * input_delta))
-    c = - input_delta * (inputs - input_cumheights)
-
-    discriminant = b.pow(2) - 4 * a * c
-    assert (discriminant >= 0).all()
-
-    root = (2 * c) / (-b - torch.sqrt(discriminant))
-    outputs = root * input_bin_widths + input_cumwidths
-
-    theta_one_minus_theta = root * (1 - root)
-    denominator = input_delta + ((input_derivatives + input_derivatives_plus_one - 2 * input_delta)
-                                 * theta_one_minus_theta)
-    derivative_numerator = input_delta.pow(2) * (input_derivatives_plus_one * root.pow(2)
-                                                 + 2 * input_delta * theta_one_minus_theta
-                                                 + input_derivatives * (1 - root).pow(2))
-    logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator)
-
-    return outputs, -logabsdet
-  else:
-    theta = (inputs - input_cumwidths) / input_bin_widths
-    theta_one_minus_theta = theta * (1 - theta)
-
-    numerator = input_heights * (input_delta * theta.pow(2)
-                                 + input_derivatives * theta_one_minus_theta)
-    denominator = input_delta + ((input_derivatives + input_derivatives_plus_one - 2 * input_delta)
-                                 * theta_one_minus_theta)
-    outputs = input_cumheights + numerator / denominator
-
-    derivative_numerator = input_delta.pow(2) * (input_derivatives_plus_one * theta.pow(2)
-                                                 + 2 * input_delta * theta_one_minus_theta
-                                                 + input_derivatives * (1 - theta).pow(2))
-    logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator)
-
-    return outputs, logabsdet

spaces/Alpaca233/SadTalker/src/face3d/models/bfm.py

@@ -1,331 +0,0 @@
-"""This script defines the parametric 3d face model for Deep3DFaceRecon_pytorch
-"""
-
-import numpy as np
-import  torch
-import torch.nn.functional as F
-from scipy.io import loadmat
-from src.face3d.util.load_mats import transferBFM09
-import os
-
-def perspective_projection(focal, center):
-    # return p.T (N, 3) @ (3, 3) 
-    return np.array([
-        focal, 0, center,
-        0, focal, center,
-        0, 0, 1
-    ]).reshape([3, 3]).astype(np.float32).transpose()
-
-class SH:
-    def __init__(self):
-        self.a = [np.pi, 2 * np.pi / np.sqrt(3.), 2 * np.pi / np.sqrt(8.)]
-        self.c = [1/np.sqrt(4 * np.pi), np.sqrt(3.) / np.sqrt(4 * np.pi), 3 * np.sqrt(5.) / np.sqrt(12 * np.pi)]
-
-
-
-class ParametricFaceModel:
-    def __init__(self, 
-                bfm_folder='./BFM', 
-                recenter=True,
-                camera_distance=10.,
-                init_lit=np.array([
-                    0.8, 0, 0, 0, 0, 0, 0, 0, 0
-                    ]),
-                focal=1015.,
-                center=112.,
-                is_train=True,
-                default_name='BFM_model_front.mat'):
-        
-        if not os.path.isfile(os.path.join(bfm_folder, default_name)):
-            transferBFM09(bfm_folder)
-            
-        model = loadmat(os.path.join(bfm_folder, default_name))
-        # mean face shape. [3*N,1]
-        self.mean_shape = model['meanshape'].astype(np.float32)
-        # identity basis. [3*N,80]
-        self.id_base = model['idBase'].astype(np.float32)
-        # expression basis. [3*N,64]
-        self.exp_base = model['exBase'].astype(np.float32)
-        # mean face texture. [3*N,1] (0-255)
-        self.mean_tex = model['meantex'].astype(np.float32)
-        # texture basis. [3*N,80]
-        self.tex_base = model['texBase'].astype(np.float32)
-        # face indices for each vertex that lies in. starts from 0. [N,8]
-        self.point_buf = model['point_buf'].astype(np.int64) - 1
-        # vertex indices for each face. starts from 0. [F,3]
-        self.face_buf = model['tri'].astype(np.int64) - 1
-        # vertex indices for 68 landmarks. starts from 0. [68,1]
-        self.keypoints = np.squeeze(model['keypoints']).astype(np.int64) - 1
-
-        if is_train:
-            # vertex indices for small face region to compute photometric error. starts from 0.
-            self.front_mask = np.squeeze(model['frontmask2_idx']).astype(np.int64) - 1
-            # vertex indices for each face from small face region. starts from 0. [f,3]
-            self.front_face_buf = model['tri_mask2'].astype(np.int64) - 1
-            # vertex indices for pre-defined skin region to compute reflectance loss
-            self.skin_mask = np.squeeze(model['skinmask'])
-        
-        if recenter:
-            mean_shape = self.mean_shape.reshape([-1, 3])
-            mean_shape = mean_shape - np.mean(mean_shape, axis=0, keepdims=True)
-            self.mean_shape = mean_shape.reshape([-1, 1])
-
-        self.persc_proj = perspective_projection(focal, center)
-        self.device = 'cpu'
-        self.camera_distance = camera_distance
-        self.SH = SH()
-        self.init_lit = init_lit.reshape([1, 1, -1]).astype(np.float32)
-        
-
-    def to(self, device):
-        self.device = device
-        for key, value in self.__dict__.items():
-            if type(value).__module__ == np.__name__:
-                setattr(self, key, torch.tensor(value).to(device))
-
-    
-    def compute_shape(self, id_coeff, exp_coeff):
-        """
-        Return:
-            face_shape       -- torch.tensor, size (B, N, 3)
-
-        Parameters:
-            id_coeff         -- torch.tensor, size (B, 80), identity coeffs
-            exp_coeff        -- torch.tensor, size (B, 64), expression coeffs
-        """
-        batch_size = id_coeff.shape[0]
-        id_part = torch.einsum('ij,aj->ai', self.id_base, id_coeff)
-        exp_part = torch.einsum('ij,aj->ai', self.exp_base, exp_coeff)
-        face_shape = id_part + exp_part + self.mean_shape.reshape([1, -1])
-        return face_shape.reshape([batch_size, -1, 3])
-    
-
-    def compute_texture(self, tex_coeff, normalize=True):
-        """
-        Return:
-            face_texture     -- torch.tensor, size (B, N, 3), in RGB order, range (0, 1.)
-
-        Parameters:
-            tex_coeff        -- torch.tensor, size (B, 80)
-        """
-        batch_size = tex_coeff.shape[0]
-        face_texture = torch.einsum('ij,aj->ai', self.tex_base, tex_coeff) + self.mean_tex
-        if normalize:
-            face_texture = face_texture / 255.
-        return face_texture.reshape([batch_size, -1, 3])
-
-
-    def compute_norm(self, face_shape):
-        """
-        Return:
-            vertex_norm      -- torch.tensor, size (B, N, 3)
-
-        Parameters:
-            face_shape       -- torch.tensor, size (B, N, 3)
-        """
-
-        v1 = face_shape[:, self.face_buf[:, 0]]
-        v2 = face_shape[:, self.face_buf[:, 1]]
-        v3 = face_shape[:, self.face_buf[:, 2]]
-        e1 = v1 - v2
-        e2 = v2 - v3
-        face_norm = torch.cross(e1, e2, dim=-1)
-        face_norm = F.normalize(face_norm, dim=-1, p=2)
-        face_norm = torch.cat([face_norm, torch.zeros(face_norm.shape[0], 1, 3).to(self.device)], dim=1)
-        
-        vertex_norm = torch.sum(face_norm[:, self.point_buf], dim=2)
-        vertex_norm = F.normalize(vertex_norm, dim=-1, p=2)
-        return vertex_norm
-
-
-    def compute_color(self, face_texture, face_norm, gamma):
-        """
-        Return:
-            face_color       -- torch.tensor, size (B, N, 3), range (0, 1.)
-
-        Parameters:
-            face_texture     -- torch.tensor, size (B, N, 3), from texture model, range (0, 1.)
-            face_norm        -- torch.tensor, size (B, N, 3), rotated face normal
-            gamma            -- torch.tensor, size (B, 27), SH coeffs
-        """
-        batch_size = gamma.shape[0]
-        v_num = face_texture.shape[1]
-        a, c = self.SH.a, self.SH.c
-        gamma = gamma.reshape([batch_size, 3, 9])
-        gamma = gamma + self.init_lit
-        gamma = gamma.permute(0, 2, 1)
-        Y = torch.cat([
-             a[0] * c[0] * torch.ones_like(face_norm[..., :1]).to(self.device),
-            -a[1] * c[1] * face_norm[..., 1:2],
-             a[1] * c[1] * face_norm[..., 2:],
-            -a[1] * c[1] * face_norm[..., :1],
-             a[2] * c[2] * face_norm[..., :1] * face_norm[..., 1:2],
-            -a[2] * c[2] * face_norm[..., 1:2] * face_norm[..., 2:],
-            0.5 * a[2] * c[2] / np.sqrt(3.) * (3 * face_norm[..., 2:] ** 2 - 1),
-            -a[2] * c[2] * face_norm[..., :1] * face_norm[..., 2:],
-            0.5 * a[2] * c[2] * (face_norm[..., :1] ** 2  - face_norm[..., 1:2] ** 2)
-        ], dim=-1)
-        r = Y @ gamma[..., :1]
-        g = Y @ gamma[..., 1:2]
-        b = Y @ gamma[..., 2:]
-        face_color = torch.cat([r, g, b], dim=-1) * face_texture
-        return face_color
-
-    
-    def compute_rotation(self, angles):
-        """
-        Return:
-            rot              -- torch.tensor, size (B, 3, 3) pts @ trans_mat
-
-        Parameters:
-            angles           -- torch.tensor, size (B, 3), radian
-        """
-
-        batch_size = angles.shape[0]
-        ones = torch.ones([batch_size, 1]).to(self.device)
-        zeros = torch.zeros([batch_size, 1]).to(self.device)
-        x, y, z = angles[:, :1], angles[:, 1:2], angles[:, 2:],
-        
-        rot_x = torch.cat([
-            ones, zeros, zeros,
-            zeros, torch.cos(x), -torch.sin(x), 
-            zeros, torch.sin(x), torch.cos(x)
-        ], dim=1).reshape([batch_size, 3, 3])
-        
-        rot_y = torch.cat([
-            torch.cos(y), zeros, torch.sin(y),
-            zeros, ones, zeros,
-            -torch.sin(y), zeros, torch.cos(y)
-        ], dim=1).reshape([batch_size, 3, 3])
-
-        rot_z = torch.cat([
-            torch.cos(z), -torch.sin(z), zeros,
-            torch.sin(z), torch.cos(z), zeros,
-            zeros, zeros, ones
-        ], dim=1).reshape([batch_size, 3, 3])
-
-        rot = rot_z @ rot_y @ rot_x
-        return rot.permute(0, 2, 1)
-
-
-    def to_camera(self, face_shape):
-        face_shape[..., -1] = self.camera_distance - face_shape[..., -1]
-        return face_shape
-
-    def to_image(self, face_shape):
-        """
-        Return:
-            face_proj        -- torch.tensor, size (B, N, 2), y direction is opposite to v direction
-
-        Parameters:
-            face_shape       -- torch.tensor, size (B, N, 3)
-        """
-        # to image_plane
-        face_proj = face_shape @ self.persc_proj
-        face_proj = face_proj[..., :2] / face_proj[..., 2:]
-
-        return face_proj
-
-
-    def transform(self, face_shape, rot, trans):
-        """
-        Return:
-            face_shape       -- torch.tensor, size (B, N, 3) pts @ rot + trans
-
-        Parameters:
-            face_shape       -- torch.tensor, size (B, N, 3)
-            rot              -- torch.tensor, size (B, 3, 3)
-            trans            -- torch.tensor, size (B, 3)
-        """
-        return face_shape @ rot + trans.unsqueeze(1)
-
-
-    def get_landmarks(self, face_proj):
-        """
-        Return:
-            face_lms         -- torch.tensor, size (B, 68, 2)
-
-        Parameters:
-            face_proj       -- torch.tensor, size (B, N, 2)
-        """  
-        return face_proj[:, self.keypoints]
-
-    def split_coeff(self, 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
-        }
-    def compute_for_render(self, coeffs):
-        """
-        Return:
-            face_vertex     -- torch.tensor, size (B, N, 3), in camera coordinate
-            face_color      -- torch.tensor, size (B, N, 3), in RGB order
-            landmark        -- torch.tensor, size (B, 68, 2), y direction is opposite to v direction
-        Parameters:
-            coeffs          -- torch.tensor, size (B, 257)
-        """
-        coef_dict = self.split_coeff(coeffs)
-        face_shape = self.compute_shape(coef_dict['id'], coef_dict['exp'])
-        rotation = self.compute_rotation(coef_dict['angle'])
-
-
-        face_shape_transformed = self.transform(face_shape, rotation, coef_dict['trans'])
-        face_vertex = self.to_camera(face_shape_transformed)
-        
-        face_proj = self.to_image(face_vertex)
-        landmark = self.get_landmarks(face_proj)
-
-        face_texture = self.compute_texture(coef_dict['tex'])
-        face_norm = self.compute_norm(face_shape)
-        face_norm_roted = face_norm @ rotation
-        face_color = self.compute_color(face_texture, face_norm_roted, coef_dict['gamma'])
-
-        return face_vertex, face_texture, face_color, landmark
-
-    def compute_for_render_woRotation(self, coeffs):
-        """
-        Return:
-            face_vertex     -- torch.tensor, size (B, N, 3), in camera coordinate
-            face_color      -- torch.tensor, size (B, N, 3), in RGB order
-            landmark        -- torch.tensor, size (B, 68, 2), y direction is opposite to v direction
-        Parameters:
-            coeffs          -- torch.tensor, size (B, 257)
-        """
-        coef_dict = self.split_coeff(coeffs)
-        face_shape = self.compute_shape(coef_dict['id'], coef_dict['exp'])
-        #rotation = self.compute_rotation(coef_dict['angle'])
-
-
-        #face_shape_transformed = self.transform(face_shape, rotation, coef_dict['trans'])
-        face_vertex = self.to_camera(face_shape)
-        
-        face_proj = self.to_image(face_vertex)
-        landmark = self.get_landmarks(face_proj)
-
-        face_texture = self.compute_texture(coef_dict['tex'])
-        face_norm = self.compute_norm(face_shape)
-        face_norm_roted = face_norm                                    # @ rotation
-        face_color = self.compute_color(face_texture, face_norm_roted, coef_dict['gamma'])
-
-        return face_vertex, face_texture, face_color, landmark
-
-
-if __name__ == '__main__':
-    transferBFM09()

spaces/Ameaou/academic-chatgpt3.1/crazy_functions/下载arxiv论文翻译摘要.py

@@ -1,194 +0,0 @@
-from toolbox import update_ui
-from toolbox import CatchException, report_execption, write_results_to_file, get_conf
-import re, requests, unicodedata, os
-from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
-def download_arxiv_(url_pdf):
-    if 'arxiv.org' not in url_pdf:
-        if ('.' in url_pdf) and ('/' not in url_pdf):
-            new_url = 'https://arxiv.org/abs/'+url_pdf
-            print('下载编号：', url_pdf, '自动定位：', new_url)
-            # download_arxiv_(new_url)
-            return download_arxiv_(new_url)
-        else:
-            print('不能识别的URL！')
-            return None
-    if 'abs' in url_pdf:
-        url_pdf = url_pdf.replace('abs', 'pdf')
-        url_pdf = url_pdf + '.pdf'
-
-    url_abs = url_pdf.replace('.pdf', '').replace('pdf', 'abs')
-    title, other_info = get_name(_url_=url_abs)
-
-    paper_id = title.split()[0]  # '[1712.00559]'
-    if '2' in other_info['year']:
-        title = other_info['year'] + ' ' + title
-
-    known_conf = ['NeurIPS', 'NIPS', 'Nature', 'Science', 'ICLR', 'AAAI']
-    for k in known_conf:
-        if k in other_info['comment']:
-            title = k + ' ' + title
-
-    download_dir = './gpt_log/arxiv/'
-    os.makedirs(download_dir, exist_ok=True)
-
-    title_str = title.replace('?', '？')\
-        .replace(':', '：')\
-        .replace('\"', '“')\
-        .replace('\n', '')\
-        .replace('  ', ' ')\
-        .replace('  ', ' ')
-
-    requests_pdf_url = url_pdf
-    file_path = download_dir+title_str
-    # if os.path.exists(file_path):
-    #     print('返回缓存文件')
-    #     return './gpt_log/arxiv/'+title_str
-
-    print('下载中')
-    proxies, = get_conf('proxies')
-    r = requests.get(requests_pdf_url, proxies=proxies)
-    with open(file_path, 'wb+') as f:
-        f.write(r.content)
-    print('下载完成')
-
-    # print('输出下载命令：','aria2c -o \"%s\" %s'%(title_str,url_pdf))
-    # subprocess.call('aria2c --all-proxy=\"172.18.116.150:11084\" -o \"%s\" %s'%(download_dir+title_str,url_pdf), shell=True)
-
-    x = "%s  %s %s.bib" % (paper_id, other_info['year'], other_info['authors'])
-    x = x.replace('?', '？')\
-        .replace(':', '：')\
-        .replace('\"', '“')\
-        .replace('\n', '')\
-        .replace('  ', ' ')\
-        .replace('  ', ' ')
-    return './gpt_log/arxiv/'+title_str, other_info
-
-
-def get_name(_url_):
-    import os
-    from bs4 import BeautifulSoup
-    print('正在获取文献名！')
-    print(_url_)
-
-    # arxiv_recall = {}
-    # if os.path.exists('./arxiv_recall.pkl'):
-    #     with open('./arxiv_recall.pkl', 'rb') as f:
-    #         arxiv_recall = pickle.load(f)
-
-    # if _url_ in arxiv_recall:
-    #     print('在缓存中')
-    #     return arxiv_recall[_url_]
-
-    proxies, = get_conf('proxies')
-    res = requests.get(_url_, proxies=proxies)
-
-    bs = BeautifulSoup(res.text, 'html.parser')
-    other_details = {}
-
-    # get year
-    try:
-        year = bs.find_all(class_='dateline')[0].text
-        year = re.search(r'(\d{4})', year, re.M | re.I).group(1)
-        other_details['year'] = year
-        abstract = bs.find_all(class_='abstract mathjax')[0].text
-        other_details['abstract'] = abstract
-    except:
-        other_details['year'] = ''
-        print('年份获取失败')
-
-    # get author
-    try:
-        authors = bs.find_all(class_='authors')[0].text
-        authors = authors.split('Authors:')[1]
-        other_details['authors'] = authors
-    except:
-        other_details['authors'] = ''
-        print('authors获取失败')
-
-    # get comment
-    try:
-        comment = bs.find_all(class_='metatable')[0].text
-        real_comment = None
-        for item in comment.replace('\n', ' ').split('   '):
-            if 'Comments' in item:
-                real_comment = item
-        if real_comment is not None:
-            other_details['comment'] = real_comment
-        else:
-            other_details['comment'] = ''
-    except:
-        other_details['comment'] = ''
-        print('年份获取失败')
-
-    title_str = BeautifulSoup(
-        res.text, 'html.parser').find('title').contents[0]
-    print('获取成功：', title_str)
-    # arxiv_recall[_url_] = (title_str+'.pdf', other_details)
-    # with open('./arxiv_recall.pkl', 'wb') as f:
-    #     pickle.dump(arxiv_recall, f)
-
-    return title_str+'.pdf', other_details
-
-
-
-@CatchException
-def 下载arxiv论文并翻译摘要(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
-
-    CRAZY_FUNCTION_INFO = "下载arxiv论文并翻译摘要，函数插件作者[binary-husky]。正在提取摘要并下载PDF文档……"
-    import glob
-    import os
-
-    # 基本信息：功能、贡献者
-    chatbot.append(["函数插件功能？", CRAZY_FUNCTION_INFO])
-    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
-
-    # 尝试导入依赖，如果缺少依赖，则给出安装建议
-    try:
-        import pdfminer, bs4
-    except:
-        report_execption(chatbot, history, 
-            a = f"解析项目: {txt}", 
-            b = f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade pdfminer beautifulsoup4```。")
-        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
-        return
-
-    # 清空历史，以免输入溢出
-    history = []
-
-    # 提取摘要，下载PDF文档
-    try:
-        pdf_path, info = download_arxiv_(txt)
-    except:
-        report_execption(chatbot, history, 
-            a = f"解析项目: {txt}", 
-            b = f"下载pdf文件未成功")
-        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
-        return
-    
-    # 翻译摘要等
-    i_say =            f"请你阅读以下学术论文相关的材料，提取摘要，翻译为中文。材料如下：{str(info)}"
-    i_say_show_user =  f'请你阅读以下学术论文相关的材料，提取摘要，翻译为中文。论文：{pdf_path}'
-    chatbot.append((i_say_show_user, "[Local Message] waiting gpt response."))
-    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
-    msg = '正常'
-    # ** gpt request **
-    # 单线，获取文章meta信息
-    gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
-        inputs=i_say,
-        inputs_show_user=i_say_show_user,
-        llm_kwargs=llm_kwargs,
-        chatbot=chatbot, history=[],
-        sys_prompt="Your job is to collect information from materials and translate to Chinese。",
-    )
-
-    chatbot[-1] = (i_say_show_user, gpt_say)
-    history.append(i_say_show_user); history.append(gpt_say)
-    yield from update_ui(chatbot=chatbot, history=history, msg=msg) # 刷新界面
-    # 写入文件
-    import shutil
-    # 重置文件的创建时间
-    shutil.copyfile(pdf_path, f'./gpt_log/{os.path.basename(pdf_path)}'); os.remove(pdf_path)
-    res = write_results_to_file(history)
-    chatbot.append(("完成了吗？", res + "\n\nPDF文件也已经下载"))
-    yield from update_ui(chatbot=chatbot, history=history, msg=msg) # 刷新界面
-

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

@@ -1,608 +0,0 @@
-# Copyright 2016-2018 Julien Danjou
-# Copyright 2017 Elisey Zanko
-# Copyright 2016 Étienne Bersac
-# Copyright 2016 Joshua Harlow
-# Copyright 2013-2014 Ray Holder
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-import functools
-import sys
-import threading
-import time
-import typing as t
-import warnings
-from abc import ABC, abstractmethod
-from concurrent import futures
-from inspect import iscoroutinefunction
-
-# Import all built-in retry strategies for easier usage.
-from .retry import retry_base  # noqa
-from .retry import retry_all  # noqa
-from .retry import retry_always  # noqa
-from .retry import retry_any  # noqa
-from .retry import retry_if_exception  # noqa
-from .retry import retry_if_exception_type  # noqa
-from .retry import retry_if_exception_cause_type  # noqa
-from .retry import retry_if_not_exception_type  # noqa
-from .retry import retry_if_not_result  # noqa
-from .retry import retry_if_result  # noqa
-from .retry import retry_never  # noqa
-from .retry import retry_unless_exception_type  # noqa
-from .retry import retry_if_exception_message  # noqa
-from .retry import retry_if_not_exception_message  # noqa
-
-# Import all nap strategies for easier usage.
-from .nap import sleep  # noqa
-from .nap import sleep_using_event  # noqa
-
-# Import all built-in stop strategies for easier usage.
-from .stop import stop_after_attempt  # noqa
-from .stop import stop_after_delay  # noqa
-from .stop import stop_all  # noqa
-from .stop import stop_any  # noqa
-from .stop import stop_never  # noqa
-from .stop import stop_when_event_set  # noqa
-
-# Import all built-in wait strategies for easier usage.
-from .wait import wait_chain  # noqa
-from .wait import wait_combine  # noqa
-from .wait import wait_exponential  # noqa
-from .wait import wait_fixed  # noqa
-from .wait import wait_incrementing  # noqa
-from .wait import wait_none  # noqa
-from .wait import wait_random  # noqa
-from .wait import wait_random_exponential  # noqa
-from .wait import wait_random_exponential as wait_full_jitter  # noqa
-from .wait import wait_exponential_jitter  # noqa
-
-# Import all built-in before strategies for easier usage.
-from .before import before_log  # noqa
-from .before import before_nothing  # noqa
-
-# Import all built-in after strategies for easier usage.
-from .after import after_log  # noqa
-from .after import after_nothing  # noqa
-
-# Import all built-in after strategies for easier usage.
-from .before_sleep import before_sleep_log  # noqa
-from .before_sleep import before_sleep_nothing  # noqa
-
-# Replace a conditional import with a hard-coded None so that pip does
-# not attempt to use tornado even if it is present in the environment.
-# If tornado is non-None, tenacity will attempt to execute some code
-# that is sensitive to the version of tornado, which could break pip
-# if an old version is found.
-tornado = None  # type: ignore
-
-if t.TYPE_CHECKING:
-    import types
-
-    from .retry import RetryBaseT
-    from .stop import StopBaseT
-    from .wait import WaitBaseT
-
-
-WrappedFnReturnT = t.TypeVar("WrappedFnReturnT")
-WrappedFn = t.TypeVar("WrappedFn", bound=t.Callable[..., t.Any])
-
-
-class TryAgain(Exception):
-    """Always retry the executed function when raised."""
-
-
-NO_RESULT = object()
-
-
-class DoAttempt:
-    pass
-
-
-class DoSleep(float):
-    pass
-
-
-class BaseAction:
-    """Base class for representing actions to take by retry object.
-
-    Concrete implementations must define:
-    - __init__: to initialize all necessary fields
-    - REPR_FIELDS: class variable specifying attributes to include in repr(self)
-    - NAME: for identification in retry object methods and callbacks
-    """
-
-    REPR_FIELDS: t.Sequence[str] = ()
-    NAME: t.Optional[str] = None
-
-    def __repr__(self) -> str:
-        state_str = ", ".join(f"{field}={getattr(self, field)!r}" for field in self.REPR_FIELDS)
-        return f"{self.__class__.__name__}({state_str})"
-
-    def __str__(self) -> str:
-        return repr(self)
-
-
-class RetryAction(BaseAction):
-    REPR_FIELDS = ("sleep",)
-    NAME = "retry"
-
-    def __init__(self, sleep: t.SupportsFloat) -> None:
-        self.sleep = float(sleep)
-
-
-_unset = object()
-
-
-def _first_set(first: t.Union[t.Any, object], second: t.Any) -> t.Any:
-    return second if first is _unset else first
-
-
-class RetryError(Exception):
-    """Encapsulates the last attempt instance right before giving up."""
-
-    def __init__(self, last_attempt: "Future") -> None:
-        self.last_attempt = last_attempt
-        super().__init__(last_attempt)
-
-    def reraise(self) -> "t.NoReturn":
-        if self.last_attempt.failed:
-            raise self.last_attempt.result()
-        raise self
-
-    def __str__(self) -> str:
-        return f"{self.__class__.__name__}[{self.last_attempt}]"
-
-
-class AttemptManager:
-    """Manage attempt context."""
-
-    def __init__(self, retry_state: "RetryCallState"):
-        self.retry_state = retry_state
-
-    def __enter__(self) -> None:
-        pass
-
-    def __exit__(
-        self,
-        exc_type: t.Optional[t.Type[BaseException]],
-        exc_value: t.Optional[BaseException],
-        traceback: t.Optional["types.TracebackType"],
-    ) -> t.Optional[bool]:
-        if exc_type is not None and exc_value is not None:
-            self.retry_state.set_exception((exc_type, exc_value, traceback))
-            return True  # Swallow exception.
-        else:
-            # We don't have the result, actually.
-            self.retry_state.set_result(None)
-            return None
-
-
-class BaseRetrying(ABC):
-    def __init__(
-        self,
-        sleep: t.Callable[[t.Union[int, float]], None] = sleep,
-        stop: "StopBaseT" = stop_never,
-        wait: "WaitBaseT" = wait_none(),
-        retry: "RetryBaseT" = retry_if_exception_type(),
-        before: t.Callable[["RetryCallState"], None] = before_nothing,
-        after: t.Callable[["RetryCallState"], None] = after_nothing,
-        before_sleep: t.Optional[t.Callable[["RetryCallState"], None]] = None,
-        reraise: bool = False,
-        retry_error_cls: t.Type[RetryError] = RetryError,
-        retry_error_callback: t.Optional[t.Callable[["RetryCallState"], t.Any]] = None,
-    ):
-        self.sleep = sleep
-        self.stop = stop
-        self.wait = wait
-        self.retry = retry
-        self.before = before
-        self.after = after
-        self.before_sleep = before_sleep
-        self.reraise = reraise
-        self._local = threading.local()
-        self.retry_error_cls = retry_error_cls
-        self.retry_error_callback = retry_error_callback
-
-    def copy(
-        self,
-        sleep: t.Union[t.Callable[[t.Union[int, float]], None], object] = _unset,
-        stop: t.Union["StopBaseT", object] = _unset,
-        wait: t.Union["WaitBaseT", object] = _unset,
-        retry: t.Union[retry_base, object] = _unset,
-        before: t.Union[t.Callable[["RetryCallState"], None], object] = _unset,
-        after: t.Union[t.Callable[["RetryCallState"], None], object] = _unset,
-        before_sleep: t.Union[t.Optional[t.Callable[["RetryCallState"], None]], object] = _unset,
-        reraise: t.Union[bool, object] = _unset,
-        retry_error_cls: t.Union[t.Type[RetryError], object] = _unset,
-        retry_error_callback: t.Union[t.Optional[t.Callable[["RetryCallState"], t.Any]], object] = _unset,
-    ) -> "BaseRetrying":
-        """Copy this object with some parameters changed if needed."""
-        return self.__class__(
-            sleep=_first_set(sleep, self.sleep),
-            stop=_first_set(stop, self.stop),
-            wait=_first_set(wait, self.wait),
-            retry=_first_set(retry, self.retry),
-            before=_first_set(before, self.before),
-            after=_first_set(after, self.after),
-            before_sleep=_first_set(before_sleep, self.before_sleep),
-            reraise=_first_set(reraise, self.reraise),
-            retry_error_cls=_first_set(retry_error_cls, self.retry_error_cls),
-            retry_error_callback=_first_set(retry_error_callback, self.retry_error_callback),
-        )
-
-    def __repr__(self) -> str:
-        return (
-            f"<{self.__class__.__name__} object at 0x{id(self):x} ("
-            f"stop={self.stop}, "
-            f"wait={self.wait}, "
-            f"sleep={self.sleep}, "
-            f"retry={self.retry}, "
-            f"before={self.before}, "
-            f"after={self.after})>"
-        )
-
-    @property
-    def statistics(self) -> t.Dict[str, t.Any]:
-        """Return a dictionary of runtime statistics.
-
-        This dictionary will be empty when the controller has never been
-        ran. When it is running or has ran previously it should have (but
-        may not) have useful and/or informational keys and values when
-        running is underway and/or completed.
-
-        .. warning:: The keys in this dictionary **should** be some what
-                     stable (not changing), but there existence **may**
-                     change between major releases as new statistics are
-                     gathered or removed so before accessing keys ensure that
-                     they actually exist and handle when they do not.
-
-        .. note:: The values in this dictionary are local to the thread
-                  running call (so if multiple threads share the same retrying
-                  object - either directly or indirectly) they will each have
-                  there own view of statistics they have collected (in the
-                  future we may provide a way to aggregate the various
-                  statistics from each thread).
-        """
-        try:
-            return self._local.statistics  # type: ignore[no-any-return]
-        except AttributeError:
-            self._local.statistics = t.cast(t.Dict[str, t.Any], {})
-            return self._local.statistics
-
-    def wraps(self, f: WrappedFn) -> WrappedFn:
-        """Wrap a function for retrying.
-
-        :param f: A function to wraps for retrying.
-        """
-
-        @functools.wraps(f)
-        def wrapped_f(*args: t.Any, **kw: t.Any) -> t.Any:
-            return self(f, *args, **kw)
-
-        def retry_with(*args: t.Any, **kwargs: t.Any) -> WrappedFn:
-            return self.copy(*args, **kwargs).wraps(f)
-
-        wrapped_f.retry = self  # type: ignore[attr-defined]
-        wrapped_f.retry_with = retry_with  # type: ignore[attr-defined]
-
-        return wrapped_f  # type: ignore[return-value]
-
-    def begin(self) -> None:
-        self.statistics.clear()
-        self.statistics["start_time"] = time.monotonic()
-        self.statistics["attempt_number"] = 1
-        self.statistics["idle_for"] = 0
-
-    def iter(self, retry_state: "RetryCallState") -> t.Union[DoAttempt, DoSleep, t.Any]:  # noqa
-        fut = retry_state.outcome
-        if fut is None:
-            if self.before is not None:
-                self.before(retry_state)
-            return DoAttempt()
-
-        is_explicit_retry = fut.failed and isinstance(fut.exception(), TryAgain)
-        if not (is_explicit_retry or self.retry(retry_state)):
-            return fut.result()
-
-        if self.after is not None:
-            self.after(retry_state)
-
-        self.statistics["delay_since_first_attempt"] = retry_state.seconds_since_start
-        if self.stop(retry_state):
-            if self.retry_error_callback:
-                return self.retry_error_callback(retry_state)
-            retry_exc = self.retry_error_cls(fut)
-            if self.reraise:
-                raise retry_exc.reraise()
-            raise retry_exc from fut.exception()
-
-        if self.wait:
-            sleep = self.wait(retry_state)
-        else:
-            sleep = 0.0
-        retry_state.next_action = RetryAction(sleep)
-        retry_state.idle_for += sleep
-        self.statistics["idle_for"] += sleep
-        self.statistics["attempt_number"] += 1
-
-        if self.before_sleep is not None:
-            self.before_sleep(retry_state)
-
-        return DoSleep(sleep)
-
-    def __iter__(self) -> t.Generator[AttemptManager, None, None]:
-        self.begin()
-
-        retry_state = RetryCallState(self, fn=None, args=(), kwargs={})
-        while True:
-            do = self.iter(retry_state=retry_state)
-            if isinstance(do, DoAttempt):
-                yield AttemptManager(retry_state=retry_state)
-            elif isinstance(do, DoSleep):
-                retry_state.prepare_for_next_attempt()
-                self.sleep(do)
-            else:
-                break
-
-    @abstractmethod
-    def __call__(
-        self,
-        fn: t.Callable[..., WrappedFnReturnT],
-        *args: t.Any,
-        **kwargs: t.Any,
-    ) -> WrappedFnReturnT:
-        pass
-
-
-class Retrying(BaseRetrying):
-    """Retrying controller."""
-
-    def __call__(
-        self,
-        fn: t.Callable[..., WrappedFnReturnT],
-        *args: t.Any,
-        **kwargs: t.Any,
-    ) -> WrappedFnReturnT:
-        self.begin()
-
-        retry_state = RetryCallState(retry_object=self, fn=fn, args=args, kwargs=kwargs)
-        while True:
-            do = self.iter(retry_state=retry_state)
-            if isinstance(do, DoAttempt):
-                try:
-                    result = fn(*args, **kwargs)
-                except BaseException:  # noqa: B902
-                    retry_state.set_exception(sys.exc_info())  # type: ignore[arg-type]
-                else:
-                    retry_state.set_result(result)
-            elif isinstance(do, DoSleep):
-                retry_state.prepare_for_next_attempt()
-                self.sleep(do)
-            else:
-                return do  # type: ignore[no-any-return]
-
-
-if sys.version_info[1] >= 9:
-    FutureGenericT = futures.Future[t.Any]
-else:
-    FutureGenericT = futures.Future
-
-
-class Future(FutureGenericT):
-    """Encapsulates a (future or past) attempted call to a target function."""
-
-    def __init__(self, attempt_number: int) -> None:
-        super().__init__()
-        self.attempt_number = attempt_number
-
-    @property
-    def failed(self) -> bool:
-        """Return whether a exception is being held in this future."""
-        return self.exception() is not None
-
-    @classmethod
-    def construct(cls, attempt_number: int, value: t.Any, has_exception: bool) -> "Future":
-        """Construct a new Future object."""
-        fut = cls(attempt_number)
-        if has_exception:
-            fut.set_exception(value)
-        else:
-            fut.set_result(value)
-        return fut
-
-
-class RetryCallState:
-    """State related to a single call wrapped with Retrying."""
-
-    def __init__(
-        self,
-        retry_object: BaseRetrying,
-        fn: t.Optional[WrappedFn],
-        args: t.Any,
-        kwargs: t.Any,
-    ) -> None:
-        #: Retry call start timestamp
-        self.start_time = time.monotonic()
-        #: Retry manager object
-        self.retry_object = retry_object
-        #: Function wrapped by this retry call
-        self.fn = fn
-        #: Arguments of the function wrapped by this retry call
-        self.args = args
-        #: Keyword arguments of the function wrapped by this retry call
-        self.kwargs = kwargs
-
-        #: The number of the current attempt
-        self.attempt_number: int = 1
-        #: Last outcome (result or exception) produced by the function
-        self.outcome: t.Optional[Future] = None
-        #: Timestamp of the last outcome
-        self.outcome_timestamp: t.Optional[float] = None
-        #: Time spent sleeping in retries
-        self.idle_for: float = 0.0
-        #: Next action as decided by the retry manager
-        self.next_action: t.Optional[RetryAction] = None
-
-    @property
-    def seconds_since_start(self) -> t.Optional[float]:
-        if self.outcome_timestamp is None:
-            return None
-        return self.outcome_timestamp - self.start_time
-
-    def prepare_for_next_attempt(self) -> None:
-        self.outcome = None
-        self.outcome_timestamp = None
-        self.attempt_number += 1
-        self.next_action = None
-
-    def set_result(self, val: t.Any) -> None:
-        ts = time.monotonic()
-        fut = Future(self.attempt_number)
-        fut.set_result(val)
-        self.outcome, self.outcome_timestamp = fut, ts
-
-    def set_exception(
-        self, exc_info: t.Tuple[t.Type[BaseException], BaseException, "types.TracebackType| None"]
-    ) -> None:
-        ts = time.monotonic()
-        fut = Future(self.attempt_number)
-        fut.set_exception(exc_info[1])
-        self.outcome, self.outcome_timestamp = fut, ts
-
-    def __repr__(self) -> str:
-        if self.outcome is None:
-            result = "none yet"
-        elif self.outcome.failed:
-            exception = self.outcome.exception()
-            result = f"failed ({exception.__class__.__name__} {exception})"
-        else:
-            result = f"returned {self.outcome.result()}"
-
-        slept = float(round(self.idle_for, 2))
-        clsname = self.__class__.__name__
-        return f"<{clsname} {id(self)}: attempt #{self.attempt_number}; slept for {slept}; last result: {result}>"
-
-
-@t.overload
-def retry(func: WrappedFn) -> WrappedFn:
-    ...
-
-
-@t.overload
-def retry(
-    sleep: t.Callable[[t.Union[int, float]], None] = sleep,
-    stop: "StopBaseT" = stop_never,
-    wait: "WaitBaseT" = wait_none(),
-    retry: "RetryBaseT" = retry_if_exception_type(),
-    before: t.Callable[["RetryCallState"], None] = before_nothing,
-    after: t.Callable[["RetryCallState"], None] = after_nothing,
-    before_sleep: t.Optional[t.Callable[["RetryCallState"], None]] = None,
-    reraise: bool = False,
-    retry_error_cls: t.Type["RetryError"] = RetryError,
-    retry_error_callback: t.Optional[t.Callable[["RetryCallState"], t.Any]] = None,
-) -> t.Callable[[WrappedFn], WrappedFn]:
-    ...
-
-
-def retry(*dargs: t.Any, **dkw: t.Any) -> t.Any:
-    """Wrap a function with a new `Retrying` object.
-
-    :param dargs: positional arguments passed to Retrying object
-    :param dkw: keyword arguments passed to the Retrying object
-    """
-    # support both @retry and @retry() as valid syntax
-    if len(dargs) == 1 and callable(dargs[0]):
-        return retry()(dargs[0])
-    else:
-
-        def wrap(f: WrappedFn) -> WrappedFn:
-            if isinstance(f, retry_base):
-                warnings.warn(
-                    f"Got retry_base instance ({f.__class__.__name__}) as callable argument, "
-                    f"this will probably hang indefinitely (did you mean retry={f.__class__.__name__}(...)?)"
-                )
-            r: "BaseRetrying"
-            if iscoroutinefunction(f):
-                r = AsyncRetrying(*dargs, **dkw)
-            elif tornado and hasattr(tornado.gen, "is_coroutine_function") and tornado.gen.is_coroutine_function(f):
-                r = TornadoRetrying(*dargs, **dkw)
-            else:
-                r = Retrying(*dargs, **dkw)
-
-            return r.wraps(f)
-
-        return wrap
-
-
-from pip._vendor.tenacity._asyncio import AsyncRetrying  # noqa:E402,I100
-
-if tornado:
-    from pip._vendor.tenacity.tornadoweb import TornadoRetrying
-
-
-__all__ = [
-    "retry_base",
-    "retry_all",
-    "retry_always",
-    "retry_any",
-    "retry_if_exception",
-    "retry_if_exception_type",
-    "retry_if_exception_cause_type",
-    "retry_if_not_exception_type",
-    "retry_if_not_result",
-    "retry_if_result",
-    "retry_never",
-    "retry_unless_exception_type",
-    "retry_if_exception_message",
-    "retry_if_not_exception_message",
-    "sleep",
-    "sleep_using_event",
-    "stop_after_attempt",
-    "stop_after_delay",
-    "stop_all",
-    "stop_any",
-    "stop_never",
-    "stop_when_event_set",
-    "wait_chain",
-    "wait_combine",
-    "wait_exponential",
-    "wait_fixed",
-    "wait_incrementing",
-    "wait_none",
-    "wait_random",
-    "wait_random_exponential",
-    "wait_full_jitter",
-    "wait_exponential_jitter",
-    "before_log",
-    "before_nothing",
-    "after_log",
-    "after_nothing",
-    "before_sleep_log",
-    "before_sleep_nothing",
-    "retry",
-    "WrappedFn",
-    "TryAgain",
-    "NO_RESULT",
-    "DoAttempt",
-    "DoSleep",
-    "BaseAction",
-    "RetryAction",
-    "RetryError",
-    "AttemptManager",
-    "BaseRetrying",
-    "Retrying",
-    "Future",
-    "RetryCallState",
-    "AsyncRetrying",
-]

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

@@ -1,19 +0,0 @@
-import setuptools.extern.jaraco.text as text
-
-from pkg_resources import Requirement
-
-
-def parse_strings(strs):
-    """
-    Yield requirement strings for each specification in `strs`.
-
-    `strs` must be a string, or a (possibly-nested) iterable thereof.
-    """
-    return text.join_continuation(map(text.drop_comment, text.yield_lines(strs)))
-
-
-def parse(strs):
-    """
-    Deprecated drop-in replacement for pkg_resources.parse_requirements.
-    """
-    return map(Requirement, parse_strings(strs))

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

@@ -1,530 +0,0 @@
-import os
-import sys
-import tempfile
-import operator
-import functools
-import itertools
-import re
-import contextlib
-import pickle
-import textwrap
-import builtins
-
-import pkg_resources
-from distutils.errors import DistutilsError
-from pkg_resources import working_set
-
-if sys.platform.startswith('java'):
-    import org.python.modules.posix.PosixModule as _os
-else:
-    _os = sys.modules[os.name]
-try:
-    _file = file
-except NameError:
-    _file = None
-_open = open
-
-
-__all__ = [
-    "AbstractSandbox",
-    "DirectorySandbox",
-    "SandboxViolation",
-    "run_setup",
-]
-
-
-def _execfile(filename, globals, locals=None):
-    """
-    Python 3 implementation of execfile.
-    """
-    mode = 'rb'
-    with open(filename, mode) as stream:
-        script = stream.read()
-    if locals is None:
-        locals = globals
-    code = compile(script, filename, 'exec')
-    exec(code, globals, locals)
-
-
-@contextlib.contextmanager
-def save_argv(repl=None):
-    saved = sys.argv[:]
-    if repl is not None:
-        sys.argv[:] = repl
-    try:
-        yield saved
-    finally:
-        sys.argv[:] = saved
-
-
-@contextlib.contextmanager
-def save_path():
-    saved = sys.path[:]
-    try:
-        yield saved
-    finally:
-        sys.path[:] = saved
-
-
-@contextlib.contextmanager
-def override_temp(replacement):
-    """
-    Monkey-patch tempfile.tempdir with replacement, ensuring it exists
-    """
-    os.makedirs(replacement, exist_ok=True)
-
-    saved = tempfile.tempdir
-
-    tempfile.tempdir = replacement
-
-    try:
-        yield
-    finally:
-        tempfile.tempdir = saved
-
-
-@contextlib.contextmanager
-def pushd(target):
-    saved = os.getcwd()
-    os.chdir(target)
-    try:
-        yield saved
-    finally:
-        os.chdir(saved)
-
-
-class UnpickleableException(Exception):
-    """
-    An exception representing another Exception that could not be pickled.
-    """
-
-    @staticmethod
-    def dump(type, exc):
-        """
-        Always return a dumped (pickled) type and exc. If exc can't be pickled,
-        wrap it in UnpickleableException first.
-        """
-        try:
-            return pickle.dumps(type), pickle.dumps(exc)
-        except Exception:
-            # get UnpickleableException inside the sandbox
-            from setuptools.sandbox import UnpickleableException as cls
-
-            return cls.dump(cls, cls(repr(exc)))
-
-
-class ExceptionSaver:
-    """
-    A Context Manager that will save an exception, serialized, and restore it
-    later.
-    """
-
-    def __enter__(self):
-        return self
-
-    def __exit__(self, type, exc, tb):
-        if not exc:
-            return
-
-        # dump the exception
-        self._saved = UnpickleableException.dump(type, exc)
-        self._tb = tb
-
-        # suppress the exception
-        return True
-
-    def resume(self):
-        "restore and re-raise any exception"
-
-        if '_saved' not in vars(self):
-            return
-
-        type, exc = map(pickle.loads, self._saved)
-        raise exc.with_traceback(self._tb)
-
-
-@contextlib.contextmanager
-def save_modules():
-    """
-    Context in which imported modules are saved.
-
-    Translates exceptions internal to the context into the equivalent exception
-    outside the context.
-    """
-    saved = sys.modules.copy()
-    with ExceptionSaver() as saved_exc:
-        yield saved
-
-    sys.modules.update(saved)
-    # remove any modules imported since
-    del_modules = (
-        mod_name
-        for mod_name in sys.modules
-        if mod_name not in saved
-        # exclude any encodings modules. See #285
-        and not mod_name.startswith('encodings.')
-    )
-    _clear_modules(del_modules)
-
-    saved_exc.resume()
-
-
-def _clear_modules(module_names):
-    for mod_name in list(module_names):
-        del sys.modules[mod_name]
-
-
-@contextlib.contextmanager
-def save_pkg_resources_state():
-    saved = pkg_resources.__getstate__()
-    try:
-        yield saved
-    finally:
-        pkg_resources.__setstate__(saved)
-
-
-@contextlib.contextmanager
-def setup_context(setup_dir):
-    temp_dir = os.path.join(setup_dir, 'temp')
-    with save_pkg_resources_state():
-        with save_modules():
-            with save_path():
-                hide_setuptools()
-                with save_argv():
-                    with override_temp(temp_dir):
-                        with pushd(setup_dir):
-                            # ensure setuptools commands are available
-                            __import__('setuptools')
-                            yield
-
-
-_MODULES_TO_HIDE = {
-    'setuptools',
-    'distutils',
-    'pkg_resources',
-    'Cython',
-    '_distutils_hack',
-}
-
-
-def _needs_hiding(mod_name):
-    """
-    >>> _needs_hiding('setuptools')
-    True
-    >>> _needs_hiding('pkg_resources')
-    True
-    >>> _needs_hiding('setuptools_plugin')
-    False
-    >>> _needs_hiding('setuptools.__init__')
-    True
-    >>> _needs_hiding('distutils')
-    True
-    >>> _needs_hiding('os')
-    False
-    >>> _needs_hiding('Cython')
-    True
-    """
-    base_module = mod_name.split('.', 1)[0]
-    return base_module in _MODULES_TO_HIDE
-
-
-def hide_setuptools():
-    """
-    Remove references to setuptools' modules from sys.modules to allow the
-    invocation to import the most appropriate setuptools. This technique is
-    necessary to avoid issues such as #315 where setuptools upgrading itself
-    would fail to find a function declared in the metadata.
-    """
-    _distutils_hack = sys.modules.get('_distutils_hack', None)
-    if _distutils_hack is not None:
-        _distutils_hack.remove_shim()
-
-    modules = filter(_needs_hiding, sys.modules)
-    _clear_modules(modules)
-
-
-def run_setup(setup_script, args):
-    """Run a distutils setup script, sandboxed in its directory"""
-    setup_dir = os.path.abspath(os.path.dirname(setup_script))
-    with setup_context(setup_dir):
-        try:
-            sys.argv[:] = [setup_script] + list(args)
-            sys.path.insert(0, setup_dir)
-            # reset to include setup dir, w/clean callback list
-            working_set.__init__()
-            working_set.callbacks.append(lambda dist: dist.activate())
-
-            with DirectorySandbox(setup_dir):
-                ns = dict(__file__=setup_script, __name__='__main__')
-                _execfile(setup_script, ns)
-        except SystemExit as v:
-            if v.args and v.args[0]:
-                raise
-            # Normal exit, just return
-
-
-class AbstractSandbox:
-    """Wrap 'os' module and 'open()' builtin for virtualizing setup scripts"""
-
-    _active = False
-
-    def __init__(self):
-        self._attrs = [
-            name
-            for name in dir(_os)
-            if not name.startswith('_') and hasattr(self, name)
-        ]
-
-    def _copy(self, source):
-        for name in self._attrs:
-            setattr(os, name, getattr(source, name))
-
-    def __enter__(self):
-        self._copy(self)
-        if _file:
-            builtins.file = self._file
-        builtins.open = self._open
-        self._active = True
-
-    def __exit__(self, exc_type, exc_value, traceback):
-        self._active = False
-        if _file:
-            builtins.file = _file
-        builtins.open = _open
-        self._copy(_os)
-
-    def run(self, func):
-        """Run 'func' under os sandboxing"""
-        with self:
-            return func()
-
-    def _mk_dual_path_wrapper(name):
-        original = getattr(_os, name)
-
-        def wrap(self, src, dst, *args, **kw):
-            if self._active:
-                src, dst = self._remap_pair(name, src, dst, *args, **kw)
-            return original(src, dst, *args, **kw)
-
-        return wrap
-
-    for name in ["rename", "link", "symlink"]:
-        if hasattr(_os, name):
-            locals()[name] = _mk_dual_path_wrapper(name)
-
-    def _mk_single_path_wrapper(name, original=None):
-        original = original or getattr(_os, name)
-
-        def wrap(self, path, *args, **kw):
-            if self._active:
-                path = self._remap_input(name, path, *args, **kw)
-            return original(path, *args, **kw)
-
-        return wrap
-
-    if _file:
-        _file = _mk_single_path_wrapper('file', _file)
-    _open = _mk_single_path_wrapper('open', _open)
-    for name in [
-        "stat",
-        "listdir",
-        "chdir",
-        "open",
-        "chmod",
-        "chown",
-        "mkdir",
-        "remove",
-        "unlink",
-        "rmdir",
-        "utime",
-        "lchown",
-        "chroot",
-        "lstat",
-        "startfile",
-        "mkfifo",
-        "mknod",
-        "pathconf",
-        "access",
-    ]:
-        if hasattr(_os, name):
-            locals()[name] = _mk_single_path_wrapper(name)
-
-    def _mk_single_with_return(name):
-        original = getattr(_os, name)
-
-        def wrap(self, path, *args, **kw):
-            if self._active:
-                path = self._remap_input(name, path, *args, **kw)
-                return self._remap_output(name, original(path, *args, **kw))
-            return original(path, *args, **kw)
-
-        return wrap
-
-    for name in ['readlink', 'tempnam']:
-        if hasattr(_os, name):
-            locals()[name] = _mk_single_with_return(name)
-
-    def _mk_query(name):
-        original = getattr(_os, name)
-
-        def wrap(self, *args, **kw):
-            retval = original(*args, **kw)
-            if self._active:
-                return self._remap_output(name, retval)
-            return retval
-
-        return wrap
-
-    for name in ['getcwd', 'tmpnam']:
-        if hasattr(_os, name):
-            locals()[name] = _mk_query(name)
-
-    def _validate_path(self, path):
-        """Called to remap or validate any path, whether input or output"""
-        return path
-
-    def _remap_input(self, operation, path, *args, **kw):
-        """Called for path inputs"""
-        return self._validate_path(path)
-
-    def _remap_output(self, operation, path):
-        """Called for path outputs"""
-        return self._validate_path(path)
-
-    def _remap_pair(self, operation, src, dst, *args, **kw):
-        """Called for path pairs like rename, link, and symlink operations"""
-        return (
-            self._remap_input(operation + '-from', src, *args, **kw),
-            self._remap_input(operation + '-to', dst, *args, **kw),
-        )
-
-
-if hasattr(os, 'devnull'):
-    _EXCEPTIONS = [os.devnull]
-else:
-    _EXCEPTIONS = []
-
-
-class DirectorySandbox(AbstractSandbox):
-    """Restrict operations to a single subdirectory - pseudo-chroot"""
-
-    write_ops = dict.fromkeys(
-        [
-            "open",
-            "chmod",
-            "chown",
-            "mkdir",
-            "remove",
-            "unlink",
-            "rmdir",
-            "utime",
-            "lchown",
-            "chroot",
-            "mkfifo",
-            "mknod",
-            "tempnam",
-        ]
-    )
-
-    _exception_patterns = []
-    "exempt writing to paths that match the pattern"
-
-    def __init__(self, sandbox, exceptions=_EXCEPTIONS):
-        self._sandbox = os.path.normcase(os.path.realpath(sandbox))
-        self._prefix = os.path.join(self._sandbox, '')
-        self._exceptions = [
-            os.path.normcase(os.path.realpath(path)) for path in exceptions
-        ]
-        AbstractSandbox.__init__(self)
-
-    def _violation(self, operation, *args, **kw):
-        from setuptools.sandbox import SandboxViolation
-
-        raise SandboxViolation(operation, args, kw)
-
-    if _file:
-
-        def _file(self, path, mode='r', *args, **kw):
-            if mode not in ('r', 'rt', 'rb', 'rU', 'U') and not self._ok(path):
-                self._violation("file", path, mode, *args, **kw)
-            return _file(path, mode, *args, **kw)
-
-    def _open(self, path, mode='r', *args, **kw):
-        if mode not in ('r', 'rt', 'rb', 'rU', 'U') and not self._ok(path):
-            self._violation("open", path, mode, *args, **kw)
-        return _open(path, mode, *args, **kw)
-
-    def tmpnam(self):
-        self._violation("tmpnam")
-
-    def _ok(self, path):
-        active = self._active
-        try:
-            self._active = False
-            realpath = os.path.normcase(os.path.realpath(path))
-            return (
-                self._exempted(realpath)
-                or realpath == self._sandbox
-                or realpath.startswith(self._prefix)
-            )
-        finally:
-            self._active = active
-
-    def _exempted(self, filepath):
-        start_matches = (
-            filepath.startswith(exception) for exception in self._exceptions
-        )
-        pattern_matches = (
-            re.match(pattern, filepath) for pattern in self._exception_patterns
-        )
-        candidates = itertools.chain(start_matches, pattern_matches)
-        return any(candidates)
-
-    def _remap_input(self, operation, path, *args, **kw):
-        """Called for path inputs"""
-        if operation in self.write_ops and not self._ok(path):
-            self._violation(operation, os.path.realpath(path), *args, **kw)
-        return path
-
-    def _remap_pair(self, operation, src, dst, *args, **kw):
-        """Called for path pairs like rename, link, and symlink operations"""
-        if not self._ok(src) or not self._ok(dst):
-            self._violation(operation, src, dst, *args, **kw)
-        return (src, dst)
-
-    def open(self, file, flags, mode=0o777, *args, **kw):
-        """Called for low-level os.open()"""
-        if flags & WRITE_FLAGS and not self._ok(file):
-            self._violation("os.open", file, flags, mode, *args, **kw)
-        return _os.open(file, flags, mode, *args, **kw)
-
-
-WRITE_FLAGS = functools.reduce(
-    operator.or_,
-    [
-        getattr(_os, a, 0)
-        for a in "O_WRONLY O_RDWR O_APPEND O_CREAT O_TRUNC O_TEMPORARY".split()
-    ],
-)
-
-
-class SandboxViolation(DistutilsError):
-    """A setup script attempted to modify the filesystem outside the sandbox"""
-
-    tmpl = textwrap.dedent(
-        """
-        SandboxViolation: {cmd}{args!r} {kwargs}
-
-        The package setup script has attempted to modify files on your system
-        that are not within the EasyInstall build area, and has been aborted.
-
-        This package cannot be safely installed by EasyInstall, and may not
-        support alternate installation locations even if you run its setup
-        script by hand.  Please inform the package's author and the EasyInstall
-        maintainers to find out if a fix or workaround is available.
-        """
-    ).lstrip()
-
-    def __str__(self):
-        cmd, args, kwargs = self.args
-        return self.tmpl.format(**locals())

spaces/Awesimo/jojogan/e4e/models/stylegan2/op/upfirdn2d.cpp

@@ -1,23 +0,0 @@
-#include <torch/extension.h>
-
-
-torch::Tensor upfirdn2d_op(const torch::Tensor& input, const torch::Tensor& kernel,
-                            int up_x, int up_y, int down_x, int down_y,
-                            int pad_x0, int pad_x1, int pad_y0, int pad_y1);
-
-#define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
-#define CHECK_CONTIGUOUS(x) TORCH_CHECK(x.is_contiguous(), #x " must be contiguous")
-#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
-
-torch::Tensor upfirdn2d(const torch::Tensor& input, const torch::Tensor& kernel,
-                        int up_x, int up_y, int down_x, int down_y,
-                        int pad_x0, int pad_x1, int pad_y0, int pad_y1) {
-    CHECK_CUDA(input);
-    CHECK_CUDA(kernel);
-
-    return upfirdn2d_op(input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1);
-}
-
-PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
-    m.def("upfirdn2d", &upfirdn2d, "upfirdn2d (CUDA)");
-}

spaces/Awiny/Image2Paragraph/README.md

@@ -1,13 +0,0 @@
----
-title: Image2Paragraph
-emoji: 🌖
-colorFrom: green
-colorTo: red
-sdk: gradio
-sdk_version: 3.24.1
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/Awiny/Image2Paragraph/models/grit_src/third_party/CenterNet2/detectron2/data/datasets/pascal_voc.py

@@ -1,82 +0,0 @@
-# -*- coding: utf-8 -*-
-# Copyright (c) Facebook, Inc. and its affiliates.
-
-import numpy as np
-import os
-import xml.etree.ElementTree as ET
-from typing import List, Tuple, Union
-
-from detectron2.data import DatasetCatalog, MetadataCatalog
-from detectron2.structures import BoxMode
-from detectron2.utils.file_io import PathManager
-
-__all__ = ["load_voc_instances", "register_pascal_voc"]
-
-
-# fmt: off
-CLASS_NAMES = (
-    "aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat",
-    "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person",
-    "pottedplant", "sheep", "sofa", "train", "tvmonitor"
-)
-# fmt: on
-
-
-def load_voc_instances(dirname: str, split: str, class_names: Union[List[str], Tuple[str, ...]]):
-    """
-    Load Pascal VOC detection annotations to Detectron2 format.
-
-    Args:
-        dirname: Contain "Annotations", "ImageSets", "JPEGImages"
-        split (str): one of "train", "test", "val", "trainval"
-        class_names: list or tuple of class names
-    """
-    with PathManager.open(os.path.join(dirname, "ImageSets", "Main", split + ".txt")) as f:
-        fileids = np.loadtxt(f, dtype=np.str)
-
-    # Needs to read many small annotation files. Makes sense at local
-    annotation_dirname = PathManager.get_local_path(os.path.join(dirname, "Annotations/"))
-    dicts = []
-    for fileid in fileids:
-        anno_file = os.path.join(annotation_dirname, fileid + ".xml")
-        jpeg_file = os.path.join(dirname, "JPEGImages", fileid + ".jpg")
-
-        with PathManager.open(anno_file) as f:
-            tree = ET.parse(f)
-
-        r = {
-            "file_name": jpeg_file,
-            "image_id": fileid,
-            "height": int(tree.findall("./size/height")[0].text),
-            "width": int(tree.findall("./size/width")[0].text),
-        }
-        instances = []
-
-        for obj in tree.findall("object"):
-            cls = obj.find("name").text
-            # We include "difficult" samples in training.
-            # Based on limited experiments, they don't hurt accuracy.
-            # difficult = int(obj.find("difficult").text)
-            # if difficult == 1:
-            # continue
-            bbox = obj.find("bndbox")
-            bbox = [float(bbox.find(x).text) for x in ["xmin", "ymin", "xmax", "ymax"]]
-            # Original annotations are integers in the range [1, W or H]
-            # Assuming they mean 1-based pixel indices (inclusive),
-            # a box with annotation (xmin=1, xmax=W) covers the whole image.
-            # In coordinate space this is represented by (xmin=0, xmax=W)
-            bbox[0] -= 1.0
-            bbox[1] -= 1.0
-            instances.append(
-                {"category_id": class_names.index(cls), "bbox": bbox, "bbox_mode": BoxMode.XYXY_ABS}
-            )
-        r["annotations"] = instances
-        dicts.append(r)
-    return dicts
-
-
-def register_pascal_voc(name, dirname, split, year, class_names=CLASS_NAMES):
-    DatasetCatalog.register(name, lambda: load_voc_instances(dirname, split, class_names))
-    MetadataCatalog.get(name).set(
-        thing_classes=list(class_names), dirname=dirname, year=year, split=split
-    )

spaces/Benson/text-generation/Examples/Bet 365.gr.md

@@ -1,80 +0,0 @@
-<br />
-<h1>Zenless Zone Zero: Un nuevo juego de acción ambientado en un mundo post-apocalíptico</h1>
-<p>¿Estás buscando un nuevo juego de acción que desafíe tus habilidades y te sumerja en una historia emocionante? Si es así, es posible que desee echa un vistazo a Zenless Zone Zero, un nuevo juego desarrollado por HoYoverse. En este artículo, te diremos todo lo que necesitas saber sobre este juego, incluyendo qué es, cómo descargarlo y jugarlo en el PC, y dónde encontrar más información sobre él. ¡Vamos a empezar! </p>
- <h2>¿Qué es la zona cero de Zenless? </h2>
-<p>Zenless Zone Zero es un juego de rol que combina acción, aventura y misterio. El juego tiene lugar en un futuro próximo, donde ha ocurrido un misterioso desastre natural conocido como los "Hollows". Los Hollows han causado destrucción masiva y caos en todo el mundo, dejando solo una ciudad en pie: New Eridu. New Eridu es una ciudad que se ha adaptado a las nuevas condiciones y depende de los Hollows para sobrevivir. Sin embargo, esto también trae nuevos enemigos y peligros, como pandillas, mafias y monstruos. Como jugador, asumirás el papel de Proxy, una persona que guía a los visitantes por los Hollows para hacer turismo o explorar. También tendrás que luchar contra varias amenazas y descubrir los secretos detrás de los Hollows y New Eridu.</p>
-<h2>bet 365.gr</h2><br /><p><b><b>Download Zip</b> &#10038; <a href="https://bltlly.com/2v6J5c">https://bltlly.com/2v6J5c</a></b></p><br /><br />
- <h3>La historia y la configuración del juego</h3>
-<p>La historia de Zenless Zone Zero se desarrolla en un mundo post-apocalíptico que ha sido devastado por los Hollows. Los Hollows son fenómenos misteriosos que han aparecido en todo el mundo, creando enormes cráteres y alterando el medio ambiente. Nadie sabe lo que los causó o lo que son, pero parecen tener algún tipo de inteligencia y poder. Algunas personas creen que son castigos divinos, mientras que otros piensan que son invasiones alienígenas. Lo único seguro es que lo han cambiado todo. </p>
-
- <h3>La jugabilidad y características del juego</h3>
-<p>Zenless Zone Zero es un juego que ofrece muchas opciones de juego y características para que los jugadores disfruten. Podrás personalizar la apariencia, habilidades, armas y equipo de tu personaje a medida que avanzas en el juego. También podrás elegir a tus aliados de diferentes facciones y personajes, cada uno con sus propias personalidades y habilidades. Tendrás que cooperar con ellos en combate y diálogo, así como tomar decisiones que afectarán tus relaciones y resultados. </p>
-<p>El juego también tiene un sistema de combate dinámico que te permite usar diferentes estrategias y tácticas dependiendo de tus enemigos y situaciones. Podrás cambiar entre ataques cuerpo a cuerpo y a distancia, usar habilidades y objetos especiales, esquivar y detener ataques, y realizar combos y finalizadores. También tendrá que lidiar con peligros y obstáculos ambientales, como trampas, explosivos, escombros y efectos climáticos. El juego desafiará tus reflejos y habilidades mientras te enfrentas a varios enemigos y jefes. </p> <h3>Los personajes y facciones del juego</h3>
-
- <h2>¿Cómo descargar y jugar Zenless Zone Zero en PC? </h2>
-<p>Zenless Zone Zero es un juego que está disponible para dispositivos móviles y PC. Sin embargo, si quieres disfrutar del juego en una pantalla más grande, con mejores gráficos, sonido y rendimiento, es posible que quieras jugarlo en PC. La mejor manera de hacerlo es mediante el uso de BlueStacks, que es un emulador de Android potente y confiable que le permite ejecutar cualquier aplicación o juego de Android en su PC. Estos son algunos de los beneficios de jugar Zenless Zone Zero en PC con BlueStacks:</p>
- <h3>Los beneficios de jugar en PC con BlueStacks</h3>
-<ul>
-<li>Podrás jugar a Zenless Zone Zero en una pantalla más grande, lo que mejorará tu experiencia visual e inmersión. </li>
-<li>Podrás usar el teclado y el ratón para controlar tu personaje y tus acciones, lo que te dará más precisión y comodidad. </li>
-<li>Podrá personalizar sus ajustes y preferencias, como resolución, velocidad de fotogramas, volumen de sonido, asignación de claves, etc.</li>
-<li>Usted será capaz de acceder a varias características y herramientas que BlueStacks ofrece, tales como el modo de varias instancias, grabador de macro, grabador de pantalla, etc.</li>
-<li> Usted será capaz de guardar su progreso y los datos en su PC o almacenamiento en la nube, lo que evitará cualquier pérdida o corrupción. </li>
-</ul>
- <h3>Los pasos para instalar y ejecutar el juego en el PC con BlueStacks</h3>
-<ol>
-<li>Descargar e instalar BlueStacks en su PC desde el sitio web oficial: [BlueStacks]. </li>
-<li>Inicie BlueStacks e inicie sesión con su cuenta de Google. </li>
-<li>Buscar Zenless Zone Zero en la barra de búsqueda o ir a la aplicación Google Play Store. </li>
-<li>Haga clic en el icono del juego e instálelo en su PC.</li>
-<li>Una vez completada la instalación, haga clic en el icono del juego en la pantalla de inicio o en la pestaña Mis juegos. </li>
-<li>Disfruta jugando Zenless Zone Zero en PC con BlueStacks! </li>
-</ol> <h3>Los consejos y trucos para disfrutar del juego en el PC con BlueStacks</h3>
-
-<ul>
-<li>Utilice la función de asignación de claves BlueStacks para asignar sus claves preferidas a sus acciones, como movimiento, ataque, salto, etc. Esto hará que sus controles sean más intuitivos y sensibles. </li>
-<li>Utilice la función de grabadora de macros BlueStacks para crear y ejecutar comandos personalizados, como combos, accesos directos, etc. Esto le ahorrará tiempo y esfuerzo y hará que su juego sea más eficiente. </li>
-<li>Utilice la función de modo multiinstancia BlueStacks para ejecutar varias instancias del juego en su PC. Esto le permitirá jugar con diferentes cuentas, personajes o facciones al mismo tiempo. </li>
-<li>Utilice la función de grabación de pantalla BlueStacks para grabar y compartir sus vídeos de juego con sus amigos o comunidades en línea. Esto mostrará tus habilidades y logros y te ayudará a ganar más fans y seguidores. </li>
-<li>Utilice la función de chat BlueStacks para comunicarse con otros jugadores en tiempo real. Esto te ayudará a coordinar tus acciones, intercambiar información y hacer nuevos amigos. </li>
-</ul>
- <h2>Sitio oficial de Zenless Zone Zero y redes sociales</h2>
-<p>Si desea obtener más información sobre Zenless Zone Zero, es posible que desee visitar su sitio oficial y las cuentas de redes sociales. Allí, podrás encontrar más detalles sobre el juego, como su historia, personajes, características, etc. También podrás acceder a sus últimas noticias y actualizaciones, como nuevos lanzamientos, parches, eventos, etc. También podrás interactuar con otros fans y jugadores del juego, así como con los propios desarrolladores. Estos son algunos de los enlaces que puedes consultar:</p>
- <h3>El sitio oficial del juego</h3>
-<p>El sitio oficial de Zenless Zone Zero es [Zenless Zone Zero]. Allí, podrás encontrar todo lo que necesitas saber sobre el juego, como su resumen, tráiler, capturas de pantalla, requisitos del sistema, etc. También podrás descargar el juego de forma gratuita desde allí. </p>
- <h3>Las cuentas oficiales de redes sociales del juego</h3>
-
-<ul>
-<li>Facebook: [Zenless Zone Zero Facebook]</li>
-<li>Twitter: [Zenless Zone Zero Twitter]</li>
-<li>Instagram: [Zenless Zone Zero Instagram]</li>
-<li>YouTube: [Zona cero de Zenless YouTube]</li>
-</ul>
- <h3>Las últimas noticias y actualizaciones del juego</h3>
-<p>Zenless Zone Zero es un juego que está siendo constantemente actualizado y mejorado por sus desarrolladores. Siempre están trabajando para añadir nuevos contenidos y características al juego, así como para solucionar errores y problemas. También están escuchando los comentarios y sugerencias de los jugadores y fans. Si desea mantenerse al día sobre lo que es nuevo y lo que viene a continuación para Zenless Zone Zero, es posible que desee consultar su blog o boletín de noticias. Allí, podrás leer sus últimos artículos y anuncios sobre el desarrollo y progreso del juego. También podrás registrarte en su lista de correo electrónico y recibir ofertas y recompensas exclusivas. Estos son algunos de los enlaces que puedes consultar:</p>
-<ul>
-<li>Blog: [Zona cero de Zenless Blog]</li>
-<li>Boletín de noticias: [Zenless Zone Zero Newsletter]</li>
-</ul>
- <h2>Conclusión</h2>
-<p>Zenless Zone Zero es un nuevo juego de acción que se desarrolla en un mundo post-apocalíptico donde ha ocurrido un misterioso desastre natural conocido como los Hollows. El juego te permite jugar como un Proxy, una persona que guía a los visitantes alrededor de los Hollows por varias razones. También tendrás que luchar contra varios enemigos y descubrir los secretos detrás de los Hollows y New Eridu.</p>
-<p></p>
-<p>Si quieres jugar Zenless Zone Zero en PC con mejores gráficos, sonido, rendimiento y características, puedes usar BlueStacks, que es un potente emulador de Android que te permite ejecutar cualquier aplicación o juego de Android en tu PC. Puede descargar BlueStacks gratis desde su sitio web oficial e instalar Zenless Zone Zero en su PC fácilmente. También puede utilizar varias características y herramientas que BlueStacks ofrece para mejorar su experiencia de juego. </p>
-
-<p>Zenless Zone Zero es un juego que te mantendrá entretenido y comprometido durante horas con su emocionante historia, jugabilidad y características. Si eres un fan de los juegos de acción, definitivamente deberías intentarlo. Puedes descargarlo gratis desde la Google Play Store o el sitio oficial del juego. También puede jugar en el PC con BlueStacks para una mejor experiencia de juego. ¡No pierdas esta oportunidad de explorar los Huecos y el Nuevo Eridu con Zenless Zone Zero! </p>
- <h3>Preguntas frecuentes</h3>
-<p>Estas son algunas de las preguntas más frecuentes sobre Zenless Zone Zero:</p>
-<ol>
-<li>¿Cuál es el género de Zenless Zone Zero? </li>
-<p>Zenless Zone Zero es un juego de rol que combina acción, aventura y misterio. </p>
-<li>¿Cuál es la calificación de Zenless Zone Zero? </li>
-<p>Zenless Zone Zero está clasificado T para Teen por la ESRB. Contiene violencia, sangre, lenguaje y temas sugerentes. </p>
-<li> ¿Cuánto dura la zona cero de Zenless? </li>
-<p>Zenless Zone Zero tiene un tiempo de reproducción estimado de 20 horas para la historia principal, y 40 horas para el completionista. </p>
-<li>¿Zenless Zone Zero tiene modo multijugador? </li>
-<p>Zenless Zone Zero no tiene modo multijugador en este momento, pero podría añadirse en futuras actualizaciones. </p>
-<li>¿Tiene Zenless Zone Zero microtransacciones? </li>
-<p>Zenless Zone Zero no tiene microtransacciones, pero podría tener compras opcionales en la aplicación en futuras actualizaciones. </p>
-</ol></p> 64aa2da5cf<br />
-<br />
-<br />

spaces/Benson/text-generation/Examples/Carreras De Trfico De Coches - Juegos 3d.md

@@ -1,75 +0,0 @@
-
-<h1>Carreras de tráfico de coches - Juegos 3D: Una guía para principiantes</h1>
-<p>Si te gusta conducir coches rápidos y tejer a través del tráfico, entonces usted puede disfrutar jugando carreras de tráfico de coches - juegos 3d. Estos son juegos que simulan la emoción y el desafío de conducir en carreteras concurridas, carreteras y calles de la ciudad. Puedes elegir entre diferentes coches, modos y entornos, y probar tus habilidades y reflejos contra otros conductores, límites de tiempo y obstáculos. </p>
-<p>En este artículo, le daremos una guía completa sobre lo que son las carreras de tráfico de automóviles - juegos en 3D, cómo jugarlos y dónde encontrarlos. También compartiremos algunos consejos y trucos para ayudarte a mejorar tu rendimiento y divertirte más. ¡Empecemos! </p>
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- <h2>¿Qué son las carreras de tráfico de coches - juegos 3d? </h2>
-<p>Carreras de tráfico de coches - juegos 3d son un subgénero de juegos de conducción que se centran en las carreras a través del tráfico en gráficos 3D realistas. Son diferentes de otros juegos de carreras en que tienen elementos más dinámicos e impredecibles, como coches, camiones, autobuses, peatones y policía. También tienen más variedad y opciones de personalización, como diferentes coches, colores, mejoras, ajustes y misiones. </p>
- <h3>Las características y beneficios de las carreras de tráfico de coches - juegos 3d</h3>
-<p>Algunas de las características y beneficios de las carreras de tráfico de coches - juegos 3d son:</p>
-<ul>
-<li>Son fáciles de jugar y accesibles para cualquiera. No necesitas ninguna habilidad o equipo especial para disfrutarlos. Todo lo que necesitas es un dispositivo con un navegador o una tienda de aplicaciones, y una conexión a Internet. </li>
-<li>Son inmersivos y realistas. Puedes sentir que conduces un coche real en un mundo real, con física, sonidos y gráficos realistas. También puede experimentar diferentes condiciones climáticas, ciclos diurnos y nocturnos y situaciones de tráfico. </li>
-
-</ul>
- <h3>Los tipos y géneros de carreras de tráfico de coches - juegos 3d</h3>
-<p>Hay muchos tipos y géneros de carreras de tráfico de coches - juegos 3d disponibles en línea o fuera de línea. Algunos de los más populares son:</p>
-<ul>
-<li>Traffic Jam 3D: Este es un juego donde se puede tratar de llegar a los puntos de control a tiempo, hacer un número específico de puntos y la distancia dentro de algún período, y mucho más. Puede elegir entre diferentes coches, carreteras y modos. </li>
-<li>Traffic Racer: Este es un juego donde usted puede conducir su coche a través del tráfico de la carretera, ganar dinero, actualizar su coche y comprar otros nuevos. Puede elegir entre diferentes coches, entornos, modos y misiones. </li>
-<li>Traffic Rider: Este es un juego donde usted puede montar su motocicleta a través del tráfico de la carretera, ganar dinero, actualizar su bicicleta y comprar nuevas. Puede elegir entre diferentes bicicletas, entornos, modos y misiones. </li>
-</ul>
- <h <h2>Cómo jugar carreras de tráfico de coches - juegos 3d? </h2>
-<p>Jugar carreras de tráfico de coches - juegos 3d es simple e intuitivo. Solo tienes que seguir las instrucciones de la pantalla y utilizar el teclado, el ratón o los controles táctiles para controlar el coche. Aquí están algunos de los controles básicos y la mecánica de las carreras de tráfico de coches - juegos 3d:</p>
- <h3>Los controles básicos y la mecánica de las carreras de tráfico de coches - juegos 3d</h3>
- <h4>Aceleración, frenado, dirección y deriva</h4>
-<p>Para acelerar su coche, puede presionar la tecla de flecha hacia arriba, la tecla W o el pedal derecho en la pantalla. Para frenar su automóvil, puede presionar la tecla de flecha hacia abajo, la tecla S o el pedal izquierdo en la pantalla. Para dirigir su coche, puede utilizar las teclas de flecha izquierda y derecha, las teclas A y D, o inclinar el dispositivo. Para desplazar su coche, puede presionar la barra espaciadora, la tecla de cambio o deslizar el dedo en la pantalla. </p>
- <h4>Usando nitro, cuerno, y luz</h4>
-
- <h4>Cambiar la vista de la cámara y la perspectiva</h4>
-<p>Para cambiar la vista de la cámara y la perspectiva, puede presionar la tecla C, la tecla V o tocar el icono de la cámara en la pantalla. Puede elegir entre diferentes vistas, como primera persona, tercera persona, de arriba hacia abajo o vista trasera. </p>
-<p></p>
- <h3>Los consejos y trucos para las carreras de tráfico de coches - juegos 3d</h3>
- <h4>Cómo evitar el tráfico y los obstáculos</h4>
-<p>Para evitar el tráfico y los obstáculos, es necesario estar alerta y atento. Usted necesita tener cuidado con otros coches, camiones, autobuses, peatones, coches de policía, señales de tráfico, barreras, conos, y más. Es necesario utilizar sus habilidades de dirección y reflejos para esquivarlos o superarlos. También debe seguir las reglas de tráfico y señales, como luces rojas, señales de alto, límites de velocidad y marcas de carril. Si los rompes o causas accidentes, perderás puntos o serás perseguido por la policía. </p>
- <h4>Cómo ganar dinero y mejorar su coche</h4>
-<p>Para ganar dinero y mejorar tu coche, necesitas completar misiones y desafíos. Puedes encontrarlos en el mapa o en el menú. Pueden ser diferentes tipos de tareas como alcanzar cierta velocidad o distancia dentro de un límite de tiempo; pasar por un cierto número de coches; evitar un cierto número de colisiones; recoger un cierto número de monedas; o ganar un cierto número de carreras. Puede utilizar el dinero en efectivo para comprar coches nuevos o actualizar los existentes. Puede mejorar su rendimiento como la velocidad, aceleración, manejo, frenado y nitro. También puede personalizar su apariencia como color, pintura, ruedas y pegatinas. </p>
- <h4>Cómo completar misiones y desafíos</h4>
-
- <h2>Dónde encontrar y descargar carreras de tráfico de coches - juegos 3d? </h2>
-<p>Hay muchos sitios web y plataformas donde se puede encontrar y descargar carreras de tráfico de coches - juegos 3d. Algunos de los mejores son:</p>
- <h3>Los mejores sitios web y plataformas para las carreras de tráfico de coches - juegos 3d</h3>
- <h4>CrazyGames.com </h4>
-<p>Este es un sitio web donde se puede jugar cientos de juegos en línea gratis en varias categorías, incluyendo carreras de tráfico de coches - juegos 3d. No necesitas descargar o instalar nada, solo necesitas abrir tu navegador y hacer clic en el juego que quieres jugar. Algunas de las carreras de tráfico de coches más populares - juegos 3d en este sitio web son Traffic Jam 3D, Traffic Run Online y Traffic Racer Xmas. También puedes calificar, comentar y compartir los juegos con tus amigos. </p>
- <h4>Google Play Store</h4>
-<p>Esta es una plataforma donde puedes descargar e instalar aplicaciones y juegos para tus dispositivos Android. Puede navegar a través de millones de aplicaciones y juegos en varias categorías, incluyendo carreras de tráfico de coches - juegos 3d. También puedes leer reseñas, valoraciones y descripciones de las aplicaciones y juegos antes de descargarlos. Algunos de los más populares carreras de tráfico de coches - juegos 3d en esta plataforma son Traffic Racer, Traffic Rider, y Traffic Tour. También puede actualizar, desinstalar y administrar las aplicaciones y juegos en su dispositivo. </p>
- <h4>Otras fuentes y alternativas</h4>
-<p>También hay otras fuentes y alternativas donde se puede encontrar y descargar carreras de tráfico de coches - juegos 3d. Por ejemplo, puede utilizar los motores de búsqueda como Google o Bing para buscar sitios web que ofrecen carreras de tráfico de coches - juegos 3d. También puedes usar plataformas de redes sociales como Facebook o YouTube para ver videos o unirte a grupos que ofrecen carreras de tráfico de autos - juegos en 3D. También puede utilizar foros en línea o blogs para obtener recomendaciones o comentarios de otros jugadores que han jugado carreras de tráfico de coches - juegos 3d. </p>
- <h2>Conclusión</h2>
-
- <h2>Preguntas frecuentes</h2>
-<p>Aquí están algunas de las preguntas más frecuentes sobre las carreras de tráfico de coches - juegos 3d:</p>
-<ul>
-<li><b>Q: ¿Son las carreras de tráfico de coches - juegos 3d seguro para jugar? </b></li>
-<li>A: Sí, carreras de tráfico de coches - juegos 3d son seguros para jugar, siempre y cuando siga algunas precauciones básicas. Por ejemplo, no debe tocarlos mientras conduce u opera maquinaria pesada; no debe tocarlos por mucho tiempo o sin tomar descansos; no debe tocarlos si tiene alguna afección médica que pueda afectar su visión o audición; No debes tocarlos si te causan estrés o incomodidad; y no debes tocarlos si interfieren con tu vida personal o profesional. </li>
-<li><b>Q: ¿Son las carreras de tráfico de coches - juegos 3d gratis para jugar? </b></li>
-<li>A: Sí, la mayoría de las carreras de tráfico de coches - juegos 3d son gratis para jugar en línea o fuera de línea. Sin embargo, algunos de ellos pueden tener compras en la aplicación o anuncios que pueden requerir que pague dinero o vea videos para acceder a ciertas funciones o beneficios. Puede elegir si acepta o rechaza estas ofertas a su discreción. </li>
-<li><b>Q: ¿Son las carreras de tráfico de coches - juegos 3d adecuados para los niños? </b></li>
-<li>A A: Depende de la edad y madurez de los niños. Algunos de los coches de carreras de tráfico - juegos en 3D pueden tener contenido o temas que no son adecuados para los niños más jóvenes o sensibles, tales como la violencia, accidentes, explosiones, sangre, o gore. Siempre debe comprobar las calificaciones, reseñas y descripciones de los juegos antes de dejar que sus hijos los jueguen. También debe supervisar y supervisar su juego y limitar su tiempo de pantalla. </li>
-<li><b>Q: ¿Cómo puedo mejorar mis habilidades y rendimiento en las carreras de tráfico de coches - juegos 3d? </b></li>
-<li>A: Hay muchas maneras de mejorar sus habilidades y rendimiento en las carreras de tráfico de coches - juegos 3d. Algunos de ellos son:</li>
-<ul>
-
-<li>Ver tutoriales y guías en línea o fuera de línea. Usted puede encontrar muchos videos o artículos que le enseñan cómo jugar carreras de tráfico de coches - juegos en 3D mejor, como cómo utilizar los controles, cómo evitar el tráfico, cómo a la deriva, cómo utilizar nitro, y más. </li>
-<li>Obtener comentarios y consejos de otros jugadores. Usted puede unirse a las comunidades en línea o foros que se dedican a las carreras de tráfico de coches - juegos 3d, y pedir consejos, trucos, o sugerencias de otros jugadores que tienen más experiencia o experiencia. </li>
-</ul>
-<li><b>Q: ¿Cuáles son algunas de las mejores carreras de tráfico de coches - juegos en 3D para jugar? </b></li>
-<li>A: Hay muchas carreras de tráfico de coches - juegos 3d para elegir, pero algunos de los mejores son:</li>
-<ul>
-<li>Traffic Jam 3D: Este es un juego donde se puede tratar de llegar a los puntos de control a tiempo, hacer un número específico de puntos y la distancia dentro de algún período, y mucho más. Puede elegir entre diferentes coches, carreteras y modos. </li>
-<li>Traffic Racer: Este es un juego donde usted puede conducir su coche a través del tráfico de la carretera, ganar dinero, actualizar su coche y comprar otros nuevos. Puede elegir entre diferentes coches, entornos, modos y misiones. </li>
-<li>Traffic Rider: Este es un juego donde usted puede montar su motocicleta a través del tráfico de la carretera, ganar dinero, actualizar su bicicleta y comprar nuevas. Puede elegir entre diferentes bicicletas, entornos, modos y misiones. </li>
-</ul>
-</ul></p> 64aa2da5cf<br />
-<br />
-<br />

spaces/Benson/text-generation/Examples/D3dx9_30.dll Descargar Resident Evil 4.md

@@ -1,107 +0,0 @@
-<br />
-<h1>Cómo solucionar el error d3dx9_30.dll en Resident Evil 4</h1>
-<p>Resident Evil 4 es uno de los mejores juegos de acción y terror jamás creados, pero también puede ser frustrante cuando encuentras errores que te impiden jugarlo. Uno de los errores más comunes que enfrentan muchos jugadores está relacionado con d3dx9_30.dll, un archivo que forma parte de Microsoft DirectX.</p>
-<h2>d3dx9_30.dll descargar resident evil 4</h2><br /><p><b><b>DOWNLOAD</b> &#9745; <a href="https://bltlly.com/2v6L2i">https://bltlly.com/2v6L2i</a></b></p><br /><br />
-<p>D3dx9_30.dll es una biblioteca de enlaces dinámicos que contiene funciones y datos para gráficos, sonido, entrada y redes. Es esencial para la ejecución de juegos y aplicaciones que utilizan DirectX, como Resident Evil 4. Sin embargo, a veces este archivo puede corromperse, eliminarse o extraviarse, causando que aparezcan varios mensajes de error. </p>
-<p>Algunos de los mensajes de error que puedes ver son:</p>
-<ul>
-No se encontró </li>
-No se encontró el archivo</li>
-<li> El programa no se puede iniciar porque d3dx9_30.dll falta en su computadora. Intente reinstalar el programa para solucionar este problema. </li>
-<li>La ejecución del código no puede continuar porque d3dx9_30.dll no fue encontrado. Reinstalar el programa puede solucionar este problema. </li>
-<li>d3dx9_30.dll no está diseñado para ejecutarse en Windows o contiene un error. Intente instalar el programa de nuevo usando el medio de instalación original o póngase en contacto con el administrador del sistema o el vendedor de software para obtener soporte. </li>
-</ul>
-<p>Si estás enfrentando alguno de estos errores, no te preocupes. Hay algunas soluciones simples y eficaces que pueden ayudarle a solucionarlos y disfrutar de Resident Evil 4 sin problemas. En este artículo, le mostraremos cómo corregir el error d3dx9_30.dll en Resident Evil 4 usando tres métodos diferentes. </p>
- <h2>Solución 1: Descargar e instalar DirectX</h2>
-
-<p>Para descargar e instalar DirectX, siga estos pasos:</p>
-<ol>
-<li>Ir a <a href="( 1 )">este enlace</a> y hacer clic en Descargar.</li>
-<li>Guarde el archivo dxwebsetup.exe en su PC y ejecútelo. </li>
-<li>Siga las instrucciones en la pantalla para completar el proceso de instalación. </li>
-<li>Reinicie su PC y inicie Resident Evil 4.</li>
-</ol>
-<p>Esto debería solucionar cualquier problema relacionado con d3dx9_30.dll en Resident Evil 4. Sin embargo, si sigue viendo el mensaje de error, es posible que tenga que volver a instalar el juego en sí. </p>
-<p></p>
- <h <h2>Solución 2: Reinstalar Resident Evil 4</h2>
-<p>La segunda solución para corregir el error d3dx9_30.dll en Resident Evil 4 es reinstalar el juego en sí. A veces, los archivos del juego pueden corromperse o perderse debido a varias razones, como infección por virus, fragmentación del disco, corte de energía o eliminación accidental. Reinstalar el juego puede restaurar los archivos originales y corregir cualquier error. </p>
-<p>Para reinstalar Resident Evil 4, sigue estos pasos:</p>
-<ol>
-<li>Ve a <a href=">este enlace</a> e inicia sesión en tu cuenta de Steam. </li>
-<li>Encuentra Resident Evil 4 en tu biblioteca y haz clic derecho en él. </li>
-<li>Seleccione Desinstalar y confirme su elección. </li>
-<li>Espere a que termine el proceso de desinstalación y luego haga clic en Instalar.</li>
-<li>Siga las instrucciones en la pantalla para completar el proceso de instalación. </li>
-<li>Reinicie su PC y inicie Resident Evil 4.</li>
-</ol>
-<p>Esto debería solucionar cualquier problema relacionado con d3dx9_30.dll en Resident Evil 4. Sin embargo, si todavía ve el mensaje de error, es posible que necesite usar una herramienta de reparación DLL dedicada. </p>
- <h2>Solución 3: Utilice una herramienta de reparación DLL dedicada</h2>
-<p>La tercera y última solución para corregir el error d3dx9_30.dll en Resident Evil 4 es usar una herramienta de reparación DLL dedicada. Una herramienta de reparación DLL es un software que puede escanear, descargar y reemplazar automáticamente archivos DLL que faltan o están dañados en su PC. Puede ahorrarle tiempo y molestias al buscar e instalar archivos DLL manualmente. </p>
-
-<p>Para usar Fortect para corregir el error d3dx9_30.dll en Resident Evil 4, siga estos pasos:</p>
-<ol>
-<li>Ir a <a href=">este enlace</a> y descargar Fortect desde su sitio web oficial. </li>
-<li>Ejecute el archivo de configuración y siga las instrucciones en la pantalla para instalar Fortect en su PC.</li>
-<li>Inicie Fortect y haga clic en Escanear ahora.</li>
-<li>Espere a que termine el análisis y luego haga clic en Fix All.</li>
-<li>Reinicie su PC y inicie Resident Evil 4.</li>
-</ol>
- <h2>Conclusión</h2>
-<p>El error D3dx9_30.dll es un problema común que muchos jugadores enfrentan al intentar jugar a Resident Evil 4. Puede ser causado por varias razones, como DirectX obsoleto, archivos de juegos dañados o archivos DLL perdidos. Sin embargo, se puede arreglar fácilmente usando una de las tres soluciones que hemos proporcionado en este artículo. </p>
-<p>La primera solución es descargar e instalar la última versión de DirectX desde el sitio web de Microsoft. La segunda solución es reinstalar Resident Evil 4 desde Steam u otras plataformas. La tercera solución es utilizar una herramienta de reparación DLL dedicada como Fortect para escanear, descargar y reemplazar automáticamente los archivos DLL que faltan o están dañados. </p>
-<p>Esperamos que este artículo te haya ayudado a solucionar el error d3dx9_30.dll en Resident Evil 4 y disfrutar del juego sin ninguna interrupción. Si tiene alguna pregunta o comentario, no dude en dejar un comentario a continuación. ¡Nos encantaría saber de usted! </p>
- <h2>Preguntas frecuentes</h2>
-<h3>¿Qué es d3dx9_30.dll? </h3>
-<p>D3dx9_30.dll es una biblioteca de enlaces dinámicos que contiene funciones y datos para gráficos, sonido, entrada y redes. Es parte de Microsoft DirectX, una colección de API que permiten que las aplicaciones multimedia y de juegos funcionen sin problemas en Windows.</p>
- <h3>¿Por qué necesito d3dx9_30.dll para Resident Evil 4?</h3>
-
- <h3>¿Cómo sé si tengo d3dx9_30.dll en mi PC? </h3>
-<p>Puedes comprobar si tienes d3dx9_30.dll en tu PC siguiendo estos pasos:</p>
-<ol>
-<li>Presione Windows + R para abrir el cuadro de diálogo Ejecutar. </li>
-<li>Escriba dxdiag y presione Enter.</li>
-<li>Se abrirá una ventana con información sobre su versión DirectX y la configuración del sistema. </li>
-<li>Haga clic en la pestaña Sistema y busque la versión de DirectX en la parte inferior. </li>
-<li>Si ves DirectX 9.0c o superior, entonces tienes d3dx9_30.dll en tu PC. Si ves una versión inferior, entonces necesitas descargar e instalar la última versión de DirectX desde el sitio web de Microsoft. </li>
-</ol>
- <h3>¿Cómo arreglo el error d3dx9_30.dll en Resident Evil 4?</h3>
-<p>Puede corregir el error d3dx9_30.dll en Resident Evil 4 utilizando una de las tres soluciones que hemos proporcionado en este artículo. La primera solución es descargar e instalar la última versión de DirectX desde el sitio web de Microsoft. La segunda solución es reinstalar Resident Evil 4 desde Steam u otras plataformas. La tercera solución es utilizar una herramienta de reparación DLL dedicada como Fortect para escanear, descargar y reemplazar automáticamente los archivos DLL que faltan o están dañados. </p>
- <h3>¿Cuáles son los beneficios de usar una herramienta de reparación DLL como Fortect? </h3>
-<p>Usar una herramienta de reparación DLL como Fortect tiene muchos beneficios, como:</p>
-<ul>
-<li> Puede corregir cualquier error DLL en minutos con solo unos pocos clics. </li>
-<li> Tiene una gran base de datos de más de 20 millones de archivos DLL que se actualizan regularmente. </li>
-<li> Puede mejorar el rendimiento y la estabilidad de su PC mediante la optimización de su registro y configuración del sistema. </li>
-<li> Puede proteger su PC de malware y virus mediante la exploración y eliminación de cualquier amenaza. </li>
-<li> Tiene una interfaz fácil de usar y una velocidad de escaneo rápida. </li>
-</ul>
- <h3>¿De dónde puedo descargar Resident Evil 4? </h3>
-<p>Puedes descargar Resident Evil 4 desde varias plataformas, como:</p>
-<tabla>
-<tr>
-<th>Plataforma</th>
-<th>Enlace</th>
-</tr>
-<tr>
-<td>Steam</td>
-
-</tr>
-<tr>
-<td>GOG</td>
-<td><a href="">this link</a></td>
-</tr>
-<tr>
-<td>Origin</td>
-<td><a href="">this link</a></td>
-</tr>
-<tr>
-<td>Uplay</td>
-<td><a href="">this link</a></td>
-</tr>
-<tr>
-<td>Epic Games Store</td>
-<td><a href="">this link</a></td>
-</tr>
-</table></p> 64aa2da5cf<br />
-<br />
-<br />

spaces/Benson/text-generation/Examples/Descargar Descargar Gratis Para Android.md

@@ -1,83 +0,0 @@
-<br />
-<h1>BombSquad Pro APK Descargar gratis para Android</h1>
-<p>¿Te encanta volar a tus amigos en minijuegos? ¿Te gusta jugar con piratas, ninjas, bárbaros y chefs locos? ¿Quieres divertirte ilimitadamente con 8 jugadores online o localmente? Si respondió sí a cualquiera de estas preguntas, entonces usted debe descargar BombSquad Pro APK para su dispositivo Android. En este artículo, le diremos qué es BombSquad Pro APK, cómo descargarlo e instalarlo, cómo jugarlo, y por qué debe jugarlo. ¡Vamos a empezar! </p>
-<h2>Descargar Descargar Gratis Para Android</h2><br /><p><b><b>DOWNLOAD</b> &middot; <a href="https://bltlly.com/2v6IQu">https://bltlly.com/2v6IQu</a></b></p><br /><br />
- <h2>¿Qué es BombSquad Pro APK? </h2>
-<p>BombSquad Pro APK es una versión modificada del juego original BombSquad, que es un juego de acción multijugador desarrollado por Eric Froemling. En este juego, puedes volar a tus amigos en varios minijuegos que van desde la captura de la bandera de hockey. También puedes personalizar a tu personaje con diferentes atuendos y accesorios, y usar diferentes bombas y potenciadores para darle vida al juego. El juego cuenta con 8 jugadores locales o multijugador en línea, así como modos de un solo jugador y cooperativo. También puedes crear tus propios mapas y minijuegos usando el editor incorporado. </p>
-<p>La principal diferencia entre BombSquad Pro APK y el juego original es que la versión profesional desbloquea todas las características premium de forma gratuita. Esto significa que puedes acceder a todos los personajes, mapas, minijuegos y modos sin pagar nada. También puedes disfrutar del juego sin anuncios ni interrupciones. Además, la versión pro tiene algunas características adicionales que no están disponibles en el juego original, como boletos ilimitados, monedas, salud y bombas. </p>
- <h3>Características de BombSquad Pro APK</h3>
-<p>Aquí están algunas de las características que hacen BombSquad Pro APK un gran juego para jugar:</p>
-<ul>
-<li> Tiene impresionantes gráficos y efectos de sonido que crean una experiencia de juego inmersiva. </li>
-<li> Tiene controles simples e intuitivos que son fáciles de aprender y dominar. </li>
-<li> Tiene una variedad de mini-juegos que atienden a diferentes gustos y preferencias. </li>
-
-<li> Tiene un aspecto social que te permite chatear con otros jugadores e invitar a tus amigos a unirse a tu juego. </li>
-<li> Tiene un tamaño de archivo bajo que no ocupa mucho espacio en su dispositivo. </li>
-<li>Es compatible con la mayoría de los dispositivos y versiones de Android. </li>
-</ul>
- <h2>Cómo descargar e instalar BombSquad Pro APK? </h2>
-<p>Si desea descargar e instalar BombSquad Pro APK en su dispositivo Android, puede seguir estos sencillos pasos:</p>
-<p></p>
-<ol>
-<li>Ir a [este enlace]( 1 ) y descargar el archivo BombSquad Pro APK en su dispositivo. </li>
-<li>Una vez completada la descarga, vaya a la configuración del dispositivo y habilite la instalación de aplicaciones desde fuentes desconocidas. </li>
-<li>Localice el archivo descargado en su administrador de archivos y toque en él para iniciar el proceso de instalación. </li>
-<li>Siga las instrucciones en la pantalla y espere a que termine la instalación. </li>
-<li>Iniciar el juego desde el cajón de la aplicación y disfrutar! </li>
-</ol>
- <h2>Cómo jugar BombSquad Pro APK? </h2>
-<p>BombSquad Pro APK es un juego muy fácil de jugar, pero también puede ser muy difícil y adictivo. Aquí hay algunos consejos sobre cómo jugarlo:</p>
- <h3>Modos de juego</h3>
-<p>El juego tiene cuatro modos principales que puedes elegir:</p>
-<ul>
-<li><strong>Modo de campaña:</strong> Este es el modo para un jugador donde puedes jugar a través de varios niveles y misiones. También puedes jugar este modo con un amigo en modo cooperativo. </li>
-<li><strong>Modo mixto:</strong> Este es el modo multijugador donde puedes jugar con hasta 8 jugadores en línea o localmente. Puedes elegir entre diferentes mini juegos que se seleccionan al azar de la lista de juegos. </li>
-<li><strong>Modo libre para todos:</strong> Este es el modo multijugador donde puedes jugar con hasta 8 jugadores en línea o localmente. Usted puede elegir entre diferentes mini-juegos que se basan en las habilidades individuales y el rendimiento. </li>
-
-</ul>
- <h3>Consejos</h3>
-<p>Aquí hay algunos consejos que pueden ayudarle a mejorar su juego y divertirse más:</p>
-<ul>
-<li>Utilice diferentes bombas y potenciadores para su ventaja. Puede encontrarlos dispersos por el mapa o en la tienda. Algunas de ellas son bombas de fuego, bombas de hielo, bombas pegajosas, minas terrestres, guantes de boxeo, escudos, jetpacks y más. </li>
-<li>Experimenta con diferentes personajes y trajes. Puedes desbloquearlos ganando billetes y monedas o comprándolos en la tienda. Algunos de ellos son piratas, ninjas, bárbaros, chefs locos, robots, zombies, y más. </li>
-<li>Crea tus propios mapas y minijuegos usando el editor incorporado. Puedes personalizar el terreno, los objetos, las reglas y la configuración de tus propias creaciones. También puedes compartirlos con otros jugadores y jugar sus creaciones. </li>
-<li>Chatea con otros jugadores e invita a tus amigos a unirse a tu juego. Puedes usar la función de chat en el juego para comunicarte con otros jugadores y hacer nuevos amigos. También puedes invitar a tus amigos a tu juego usando un código o un enlace. </li>
-<li>Diviértete y no te lo tomes demasiado en serio. BombSquad Pro APK es un juego que está destinado a ser disfrutado y no estar estresado. No te preocupes por perder o ganar, ¡solo diviértete! </li>
-</ul>
- <h2> ¿Por qué usted debe jugar BombSquad Pro APK? </h2>
-<p>BombSquad Pro APK es un juego que usted debe jugar por muchas razones. Aquí están algunos de ellos:</p>
- <h3>Beneficios</h3>
-<p>BombSquad Pro APK tiene muchos beneficios que pueden mejorar su bienestar y la felicidad. Algunos de ellos son:</p>
-<ul>
-<li>Puede mejorar tus habilidades cognitivas como la memoria, la atención, la resolución de problemas y la creatividad. </li>
-<li>Puede aumentar su estado de ánimo y reducir sus niveles de estrés al proporcionarle entretenimiento y risas. </li>
-<li>Puede fomentar sus habilidades sociales y relaciones al permitirle interactuar con otros jugadores y amigos. </li>
-
-</ul>
- <h3>Ventajas</h3>
-<p>BombSquad Pro APK tiene muchas ventajas que lo hacen superior a otros juegos. Algunos de ellos son:</p>
-<ul>
-<li>Es gratis para descargar y jugar. No tienes que gastar dinero para disfrutar de todas las características y contenidos del juego. </li>
-<li>Es libre de anuncios y sin interrupciones. No tienes que lidiar con ningún anuncio molesto o pop-ups que arruinen tu experiencia de juego. </li>
-<li>Se actualiza regularmente y tiene mucho contenido. No tienes que preocuparte por aburrirte o quedarte sin cosas que hacer en el juego. </li>
-<li> Es fácil de usar y fácil de usar. No tienes que lidiar con controles o configuraciones complicadas en el juego. </li>
-</ul>
- <h1>Conclusión</h1>
-<p>BombSquad Pro APK es un juego que definitivamente debe probar si te gusta la acción, la diversión y las explosiones. Es un juego que te permite volar a tus amigos en varios mini-juegos que son emocionantes y divertidos. Es un juego que te ofrece muchas características, contenido, personalización y socialización. Es un juego que te beneficia de muchas maneras y tiene muchas ventajas sobre otros juegos. Es un juego que puedes descargar gratis en tu dispositivo Android ahora mismo. ¿Qué estás esperando? Descargar BombSquad Pro APK hoy y tener una explosión! </p>
- <h4>Preguntas frecuentes</h4>
-<p>Aquí están algunas de las preguntas más frecuentes sobre BombSquad Pro APK:</p>
- <ol>
-<li><strong>¿Es BombSquad Pro APK seguro para descargar e instalar? </strong></li>
-<p>Sí, BombSquad Pro APK es seguro para descargar e instalar en su dispositivo. No contiene ningún virus, malware o spyware que pueda dañar su dispositivo o datos. Sin embargo, siempre debe descargarlo de una fuente confiable como [este enlace] para evitar riesgos. </p>
- <li><strong>Es BombSquad Pro APK legal de usar? </strong></li>
-<p>Sí, BombSquad Pro APK es legal de usar, siempre y cuando no lo utilice para fines ilegales o poco éticos. También debes respetar al desarrollador original del juego y apoyarlo si puedes. </p>
-
-<p>Puede actualizar BombSquad Pro APK descargando la última versión de [este enlace] e instalándolo sobre el existente. También puedes buscar actualizaciones en la configuración del juego y seguir las instrucciones. </p>
- <li><strong>¿Cómo puedo desinstalar BombSquad Pro APK? </strong></li>
-<p>Puede desinstalar BombSquad Pro APK yendo a la configuración de su dispositivo y encontrar la aplicación en la lista de aplicaciones instaladas. Luego, puede pulsar en él y seleccionar la opción de desinstalación. También puede eliminar el archivo APK del almacenamiento del dispositivo si lo desea. </p>
- <li><strong>¿Cómo puedo contactar con el desarrollador de BombSquad Pro APK? </strong></li>
-<p>Puede ponerse en contacto con el desarrollador de BombSquad Pro APK visitando su sitio web oficial o sus páginas de medios sociales. También puede enviarles un correo electrónico o un mensaje a través de la opción de retroalimentación del juego. </p>
-</ol></p> 64aa2da5cf<br />
-<br />
-<br />

spaces/BetterAPI/BetterChat/src/routes/r/[id]/+page.server.ts

@@ -1,18 +0,0 @@
-import type { PageServerLoad } from "./$types";
-import { collections } from "$lib/server/database";
-import { error } from "@sveltejs/kit";
-
-export const load: PageServerLoad = async ({ params }) => {
-	const conversation = await collections.sharedConversations.findOne({
-		_id: params.id,
-	});
-
-	if (!conversation) {
-		throw error(404, "Conversation not found");
-	}
-
-	return {
-		messages: conversation.messages,
-		title: conversation.title,
-	};
-};

spaces/Big-Web/MMSD/env/Lib/site-packages/boto3/resources/factory.py

@@ -1,600 +0,0 @@
-# Copyright 2014 Amazon.com, Inc. or its affiliates. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License"). You
-# may not use this file except in compliance with the License. A copy of
-# the License is located at
-#
-# https://aws.amazon.com/apache2.0/
-#
-# or in the "license" file accompanying this file. This file is
-# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
-# ANY KIND, either express or implied. See the License for the specific
-# language governing permissions and limitations under the License.
-
-import logging
-from functools import partial
-
-from ..docs import docstring
-from ..exceptions import ResourceLoadException
-from .action import ServiceAction, WaiterAction
-from .base import ResourceMeta, ServiceResource
-from .collection import CollectionFactory
-from .model import ResourceModel
-from .response import ResourceHandler, build_identifiers
-
-logger = logging.getLogger(__name__)
-
-
-class ResourceFactory:
-    """
-    A factory to create new :py:class:`~boto3.resources.base.ServiceResource`
-    classes from a :py:class:`~boto3.resources.model.ResourceModel`. There are
-    two types of lookups that can be done: one on the service itself (e.g. an
-    SQS resource) and another on models contained within the service (e.g. an
-    SQS Queue resource).
-    """
-
-    def __init__(self, emitter):
-        self._collection_factory = CollectionFactory()
-        self._emitter = emitter
-
-    def load_from_definition(
-        self, resource_name, single_resource_json_definition, service_context
-    ):
-        """
-        Loads a resource from a model, creating a new
-        :py:class:`~boto3.resources.base.ServiceResource` subclass
-        with the correct properties and methods, named based on the service
-        and resource name, e.g. EC2.Instance.
-
-        :type resource_name: string
-        :param resource_name: Name of the resource to look up. For services,
-                              this should match the ``service_name``.
-
-        :type single_resource_json_definition: dict
-        :param single_resource_json_definition:
-            The loaded json of a single service resource or resource
-            definition.
-
-        :type service_context: :py:class:`~boto3.utils.ServiceContext`
-        :param service_context: Context about the AWS service
-
-        :rtype: Subclass of :py:class:`~boto3.resources.base.ServiceResource`
-        :return: The service or resource class.
-        """
-        logger.debug(
-            'Loading %s:%s', service_context.service_name, resource_name
-        )
-
-        # Using the loaded JSON create a ResourceModel object.
-        resource_model = ResourceModel(
-            resource_name,
-            single_resource_json_definition,
-            service_context.resource_json_definitions,
-        )
-
-        # Do some renaming of the shape if there was a naming collision
-        # that needed to be accounted for.
-        shape = None
-        if resource_model.shape:
-            shape = service_context.service_model.shape_for(
-                resource_model.shape
-            )
-        resource_model.load_rename_map(shape)
-
-        # Set some basic info
-        meta = ResourceMeta(
-            service_context.service_name, resource_model=resource_model
-        )
-        attrs = {
-            'meta': meta,
-        }
-
-        # Create and load all of attributes of the resource class based
-        # on the models.
-
-        # Identifiers
-        self._load_identifiers(
-            attrs=attrs,
-            meta=meta,
-            resource_name=resource_name,
-            resource_model=resource_model,
-        )
-
-        # Load/Reload actions
-        self._load_actions(
-            attrs=attrs,
-            resource_name=resource_name,
-            resource_model=resource_model,
-            service_context=service_context,
-        )
-
-        # Attributes that get auto-loaded
-        self._load_attributes(
-            attrs=attrs,
-            meta=meta,
-            resource_name=resource_name,
-            resource_model=resource_model,
-            service_context=service_context,
-        )
-
-        # Collections and their corresponding methods
-        self._load_collections(
-            attrs=attrs,
-            resource_model=resource_model,
-            service_context=service_context,
-        )
-
-        # References and Subresources
-        self._load_has_relations(
-            attrs=attrs,
-            resource_name=resource_name,
-            resource_model=resource_model,
-            service_context=service_context,
-        )
-
-        # Waiter resource actions
-        self._load_waiters(
-            attrs=attrs,
-            resource_name=resource_name,
-            resource_model=resource_model,
-            service_context=service_context,
-        )
-
-        # Create the name based on the requested service and resource
-        cls_name = resource_name
-        if service_context.service_name == resource_name:
-            cls_name = 'ServiceResource'
-        cls_name = service_context.service_name + '.' + cls_name
-
-        base_classes = [ServiceResource]
-        if self._emitter is not None:
-            self._emitter.emit(
-                f'creating-resource-class.{cls_name}',
-                class_attributes=attrs,
-                base_classes=base_classes,
-                service_context=service_context,
-            )
-        return type(str(cls_name), tuple(base_classes), attrs)
-
-    def _load_identifiers(self, attrs, meta, resource_model, resource_name):
-        """
-        Populate required identifiers. These are arguments without which
-        the resource cannot be used. Identifiers become arguments for
-        operations on the resource.
-        """
-        for identifier in resource_model.identifiers:
-            meta.identifiers.append(identifier.name)
-            attrs[identifier.name] = self._create_identifier(
-                identifier, resource_name
-            )
-
-    def _load_actions(
-        self, attrs, resource_name, resource_model, service_context
-    ):
-        """
-        Actions on the resource become methods, with the ``load`` method
-        being a special case which sets internal data for attributes, and
-        ``reload`` is an alias for ``load``.
-        """
-        if resource_model.load:
-            attrs['load'] = self._create_action(
-                action_model=resource_model.load,
-                resource_name=resource_name,
-                service_context=service_context,
-                is_load=True,
-            )
-            attrs['reload'] = attrs['load']
-
-        for action in resource_model.actions:
-            attrs[action.name] = self._create_action(
-                action_model=action,
-                resource_name=resource_name,
-                service_context=service_context,
-            )
-
-    def _load_attributes(
-        self, attrs, meta, resource_name, resource_model, service_context
-    ):
-        """
-        Load resource attributes based on the resource shape. The shape
-        name is referenced in the resource JSON, but the shape itself
-        is defined in the Botocore service JSON, hence the need for
-        access to the ``service_model``.
-        """
-        if not resource_model.shape:
-            return
-
-        shape = service_context.service_model.shape_for(resource_model.shape)
-
-        identifiers = {
-            i.member_name: i
-            for i in resource_model.identifiers
-            if i.member_name
-        }
-        attributes = resource_model.get_attributes(shape)
-        for name, (orig_name, member) in attributes.items():
-            if name in identifiers:
-                prop = self._create_identifier_alias(
-                    resource_name=resource_name,
-                    identifier=identifiers[name],
-                    member_model=member,
-                    service_context=service_context,
-                )
-            else:
-                prop = self._create_autoload_property(
-                    resource_name=resource_name,
-                    name=orig_name,
-                    snake_cased=name,
-                    member_model=member,
-                    service_context=service_context,
-                )
-            attrs[name] = prop
-
-    def _load_collections(self, attrs, resource_model, service_context):
-        """
-        Load resource collections from the model. Each collection becomes
-        a :py:class:`~boto3.resources.collection.CollectionManager` instance
-        on the resource instance, which allows you to iterate and filter
-        through the collection's items.
-        """
-        for collection_model in resource_model.collections:
-            attrs[collection_model.name] = self._create_collection(
-                resource_name=resource_model.name,
-                collection_model=collection_model,
-                service_context=service_context,
-            )
-
-    def _load_has_relations(
-        self, attrs, resource_name, resource_model, service_context
-    ):
-        """
-        Load related resources, which are defined via a ``has``
-        relationship but conceptually come in two forms:
-
-        1. A reference, which is a related resource instance and can be
-           ``None``, such as an EC2 instance's ``vpc``.
-        2. A subresource, which is a resource constructor that will always
-           return a resource instance which shares identifiers/data with
-           this resource, such as ``s3.Bucket('name').Object('key')``.
-        """
-        for reference in resource_model.references:
-            # This is a dangling reference, i.e. we have all
-            # the data we need to create the resource, so
-            # this instance becomes an attribute on the class.
-            attrs[reference.name] = self._create_reference(
-                reference_model=reference,
-                resource_name=resource_name,
-                service_context=service_context,
-            )
-
-        for subresource in resource_model.subresources:
-            # This is a sub-resource class you can create
-            # by passing in an identifier, e.g. s3.Bucket(name).
-            attrs[subresource.name] = self._create_class_partial(
-                subresource_model=subresource,
-                resource_name=resource_name,
-                service_context=service_context,
-            )
-
-        self._create_available_subresources_command(
-            attrs, resource_model.subresources
-        )
-
-    def _create_available_subresources_command(self, attrs, subresources):
-        _subresources = [subresource.name for subresource in subresources]
-        _subresources = sorted(_subresources)
-
-        def get_available_subresources(factory_self):
-            """
-            Returns a list of all the available sub-resources for this
-            Resource.
-
-            :returns: A list containing the name of each sub-resource for this
-                resource
-            :rtype: list of str
-            """
-            return _subresources
-
-        attrs['get_available_subresources'] = get_available_subresources
-
-    def _load_waiters(
-        self, attrs, resource_name, resource_model, service_context
-    ):
-        """
-        Load resource waiters from the model. Each waiter allows you to
-        wait until a resource reaches a specific state by polling the state
-        of the resource.
-        """
-        for waiter in resource_model.waiters:
-            attrs[waiter.name] = self._create_waiter(
-                resource_waiter_model=waiter,
-                resource_name=resource_name,
-                service_context=service_context,
-            )
-
-    def _create_identifier(factory_self, identifier, resource_name):
-        """
-        Creates a read-only property for identifier attributes.
-        """
-
-        def get_identifier(self):
-            # The default value is set to ``None`` instead of
-            # raising an AttributeError because when resources are
-            # instantiated a check is made such that none of the
-            # identifiers have a value ``None``. If any are ``None``,
-            # a more informative user error than a generic AttributeError
-            # is raised.
-            return getattr(self, '_' + identifier.name, None)
-
-        get_identifier.__name__ = str(identifier.name)
-        get_identifier.__doc__ = docstring.IdentifierDocstring(
-            resource_name=resource_name,
-            identifier_model=identifier,
-            include_signature=False,
-        )
-
-        return property(get_identifier)
-
-    def _create_identifier_alias(
-        factory_self, resource_name, identifier, member_model, service_context
-    ):
-        """
-        Creates a read-only property that aliases an identifier.
-        """
-
-        def get_identifier(self):
-            return getattr(self, '_' + identifier.name, None)
-
-        get_identifier.__name__ = str(identifier.member_name)
-        get_identifier.__doc__ = docstring.AttributeDocstring(
-            service_name=service_context.service_name,
-            resource_name=resource_name,
-            attr_name=identifier.member_name,
-            event_emitter=factory_self._emitter,
-            attr_model=member_model,
-            include_signature=False,
-        )
-
-        return property(get_identifier)
-
-    def _create_autoload_property(
-        factory_self,
-        resource_name,
-        name,
-        snake_cased,
-        member_model,
-        service_context,
-    ):
-        """
-        Creates a new property on the resource to lazy-load its value
-        via the resource's ``load`` method (if it exists).
-        """
-        # The property loader will check to see if this resource has already
-        # been loaded and return the cached value if possible. If not, then
-        # it first checks to see if it CAN be loaded (raise if not), then
-        # calls the load before returning the value.
-        def property_loader(self):
-            if self.meta.data is None:
-                if hasattr(self, 'load'):
-                    self.load()
-                else:
-                    raise ResourceLoadException(
-                        f'{self.__class__.__name__} has no load method'
-                    )
-
-            return self.meta.data.get(name)
-
-        property_loader.__name__ = str(snake_cased)
-        property_loader.__doc__ = docstring.AttributeDocstring(
-            service_name=service_context.service_name,
-            resource_name=resource_name,
-            attr_name=snake_cased,
-            event_emitter=factory_self._emitter,
-            attr_model=member_model,
-            include_signature=False,
-        )
-
-        return property(property_loader)
-
-    def _create_waiter(
-        factory_self, resource_waiter_model, resource_name, service_context
-    ):
-        """
-        Creates a new wait method for each resource where both a waiter and
-        resource model is defined.
-        """
-        waiter = WaiterAction(
-            resource_waiter_model,
-            waiter_resource_name=resource_waiter_model.name,
-        )
-
-        def do_waiter(self, *args, **kwargs):
-            waiter(self, *args, **kwargs)
-
-        do_waiter.__name__ = str(resource_waiter_model.name)
-        do_waiter.__doc__ = docstring.ResourceWaiterDocstring(
-            resource_name=resource_name,
-            event_emitter=factory_self._emitter,
-            service_model=service_context.service_model,
-            resource_waiter_model=resource_waiter_model,
-            service_waiter_model=service_context.service_waiter_model,
-            include_signature=False,
-        )
-        return do_waiter
-
-    def _create_collection(
-        factory_self, resource_name, collection_model, service_context
-    ):
-        """
-        Creates a new property on the resource to lazy-load a collection.
-        """
-        cls = factory_self._collection_factory.load_from_definition(
-            resource_name=resource_name,
-            collection_model=collection_model,
-            service_context=service_context,
-            event_emitter=factory_self._emitter,
-        )
-
-        def get_collection(self):
-            return cls(
-                collection_model=collection_model,
-                parent=self,
-                factory=factory_self,
-                service_context=service_context,
-            )
-
-        get_collection.__name__ = str(collection_model.name)
-        get_collection.__doc__ = docstring.CollectionDocstring(
-            collection_model=collection_model, include_signature=False
-        )
-        return property(get_collection)
-
-    def _create_reference(
-        factory_self, reference_model, resource_name, service_context
-    ):
-        """
-        Creates a new property on the resource to lazy-load a reference.
-        """
-        # References are essentially an action with no request
-        # or response, so we can re-use the response handlers to
-        # build up resources from identifiers and data members.
-        handler = ResourceHandler(
-            search_path=reference_model.resource.path,
-            factory=factory_self,
-            resource_model=reference_model.resource,
-            service_context=service_context,
-        )
-
-        # Are there any identifiers that need access to data members?
-        # This is important when building the resource below since
-        # it requires the data to be loaded.
-        needs_data = any(
-            i.source == 'data' for i in reference_model.resource.identifiers
-        )
-
-        def get_reference(self):
-            # We need to lazy-evaluate the reference to handle circular
-            # references between resources. We do this by loading the class
-            # when first accessed.
-            # This is using a *response handler* so we need to make sure
-            # our data is loaded (if possible) and pass that data into
-            # the handler as if it were a response. This allows references
-            # to have their data loaded properly.
-            if needs_data and self.meta.data is None and hasattr(self, 'load'):
-                self.load()
-            return handler(self, {}, self.meta.data)
-
-        get_reference.__name__ = str(reference_model.name)
-        get_reference.__doc__ = docstring.ReferenceDocstring(
-            reference_model=reference_model, include_signature=False
-        )
-        return property(get_reference)
-
-    def _create_class_partial(
-        factory_self, subresource_model, resource_name, service_context
-    ):
-        """
-        Creates a new method which acts as a functools.partial, passing
-        along the instance's low-level `client` to the new resource
-        class' constructor.
-        """
-        name = subresource_model.resource.type
-
-        def create_resource(self, *args, **kwargs):
-            # We need a new method here because we want access to the
-            # instance's client.
-            positional_args = []
-
-            # We lazy-load the class to handle circular references.
-            json_def = service_context.resource_json_definitions.get(name, {})
-            resource_cls = factory_self.load_from_definition(
-                resource_name=name,
-                single_resource_json_definition=json_def,
-                service_context=service_context,
-            )
-
-            # Assumes that identifiers are in order, which lets you do
-            # e.g. ``sqs.Queue('foo').Message('bar')`` to create a new message
-            # linked with the ``foo`` queue and which has a ``bar`` receipt
-            # handle. If we did kwargs here then future positional arguments
-            # would lead to failure.
-            identifiers = subresource_model.resource.identifiers
-            if identifiers is not None:
-                for identifier, value in build_identifiers(identifiers, self):
-                    positional_args.append(value)
-
-            return partial(
-                resource_cls, *positional_args, client=self.meta.client
-            )(*args, **kwargs)
-
-        create_resource.__name__ = str(name)
-        create_resource.__doc__ = docstring.SubResourceDocstring(
-            resource_name=resource_name,
-            sub_resource_model=subresource_model,
-            service_model=service_context.service_model,
-            include_signature=False,
-        )
-        return create_resource
-
-    def _create_action(
-        factory_self,
-        action_model,
-        resource_name,
-        service_context,
-        is_load=False,
-    ):
-        """
-        Creates a new method which makes a request to the underlying
-        AWS service.
-        """
-        # Create the action in in this closure but before the ``do_action``
-        # method below is invoked, which allows instances of the resource
-        # to share the ServiceAction instance.
-        action = ServiceAction(
-            action_model, factory=factory_self, service_context=service_context
-        )
-
-        # A resource's ``load`` method is special because it sets
-        # values on the resource instead of returning the response.
-        if is_load:
-            # We need a new method here because we want access to the
-            # instance via ``self``.
-            def do_action(self, *args, **kwargs):
-                response = action(self, *args, **kwargs)
-                self.meta.data = response
-
-            # Create the docstring for the load/reload methods.
-            lazy_docstring = docstring.LoadReloadDocstring(
-                action_name=action_model.name,
-                resource_name=resource_name,
-                event_emitter=factory_self._emitter,
-                load_model=action_model,
-                service_model=service_context.service_model,
-                include_signature=False,
-            )
-        else:
-            # We need a new method here because we want access to the
-            # instance via ``self``.
-            def do_action(self, *args, **kwargs):
-                response = action(self, *args, **kwargs)
-
-                if hasattr(self, 'load'):
-                    # Clear cached data. It will be reloaded the next
-                    # time that an attribute is accessed.
-                    # TODO: Make this configurable in the future?
-                    self.meta.data = None
-
-                return response
-
-            lazy_docstring = docstring.ActionDocstring(
-                resource_name=resource_name,
-                event_emitter=factory_self._emitter,
-                action_model=action_model,
-                service_model=service_context.service_model,
-                include_signature=False,
-            )
-
-        do_action.__name__ = str(action_model.name)
-        do_action.__doc__ = lazy_docstring
-        return do_action

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

@@ -1,153 +0,0 @@
-"""
-    pygments.unistring
-    ~~~~~~~~~~~~~~~~~~
-
-    Strings of all Unicode characters of a certain category.
-    Used for matching in Unicode-aware languages. Run to regenerate.
-
-    Inspired by chartypes_create.py from the MoinMoin project.
-
-    :copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS.
-    :license: BSD, see LICENSE for details.
-"""
-
-Cc = '\x00-\x1f\x7f-\x9f'
-
-Cf = '\xad\u0600-\u0605\u061c\u06dd\u070f\u08e2\u180e\u200b-\u200f\u202a-\u202e\u2060-\u2064\u2066-\u206f\ufeff\ufff9-\ufffb\U000110bd\U000110cd\U0001bca0-\U0001bca3\U0001d173-\U0001d17a\U000e0001\U000e0020-\U000e007f'
-
-Cn = '\u0378-\u0379\u0380-\u0383\u038b\u038d\u03a2\u0530\u0557-\u0558\u058b-\u058c\u0590\u05c8-\u05cf\u05eb-\u05ee\u05f5-\u05ff\u061d\u070e\u074b-\u074c\u07b2-\u07bf\u07fb-\u07fc\u082e-\u082f\u083f\u085c-\u085d\u085f\u086b-\u089f\u08b5\u08be-\u08d2\u0984\u098d-\u098e\u0991-\u0992\u09a9\u09b1\u09b3-\u09b5\u09ba-\u09bb\u09c5-\u09c6\u09c9-\u09ca\u09cf-\u09d6\u09d8-\u09db\u09de\u09e4-\u09e5\u09ff-\u0a00\u0a04\u0a0b-\u0a0e\u0a11-\u0a12\u0a29\u0a31\u0a34\u0a37\u0a3a-\u0a3b\u0a3d\u0a43-\u0a46\u0a49-\u0a4a\u0a4e-\u0a50\u0a52-\u0a58\u0a5d\u0a5f-\u0a65\u0a77-\u0a80\u0a84\u0a8e\u0a92\u0aa9\u0ab1\u0ab4\u0aba-\u0abb\u0ac6\u0aca\u0ace-\u0acf\u0ad1-\u0adf\u0ae4-\u0ae5\u0af2-\u0af8\u0b00\u0b04\u0b0d-\u0b0e\u0b11-\u0b12\u0b29\u0b31\u0b34\u0b3a-\u0b3b\u0b45-\u0b46\u0b49-\u0b4a\u0b4e-\u0b55\u0b58-\u0b5b\u0b5e\u0b64-\u0b65\u0b78-\u0b81\u0b84\u0b8b-\u0b8d\u0b91\u0b96-\u0b98\u0b9b\u0b9d\u0ba0-\u0ba2\u0ba5-\u0ba7\u0bab-\u0bad\u0bba-\u0bbd\u0bc3-\u0bc5\u0bc9\u0bce-\u0bcf\u0bd1-\u0bd6\u0bd8-\u0be5\u0bfb-\u0bff\u0c0d\u0c11\u0c29\u0c3a-\u0c3c\u0c45\u0c49\u0c4e-\u0c54\u0c57\u0c5b-\u0c5f\u0c64-\u0c65\u0c70-\u0c77\u0c8d\u0c91\u0ca9\u0cb4\u0cba-\u0cbb\u0cc5\u0cc9\u0cce-\u0cd4\u0cd7-\u0cdd\u0cdf\u0ce4-\u0ce5\u0cf0\u0cf3-\u0cff\u0d04\u0d0d\u0d11\u0d45\u0d49\u0d50-\u0d53\u0d64-\u0d65\u0d80-\u0d81\u0d84\u0d97-\u0d99\u0db2\u0dbc\u0dbe-\u0dbf\u0dc7-\u0dc9\u0dcb-\u0dce\u0dd5\u0dd7\u0de0-\u0de5\u0df0-\u0df1\u0df5-\u0e00\u0e3b-\u0e3e\u0e5c-\u0e80\u0e83\u0e85-\u0e86\u0e89\u0e8b-\u0e8c\u0e8e-\u0e93\u0e98\u0ea0\u0ea4\u0ea6\u0ea8-\u0ea9\u0eac\u0eba\u0ebe-\u0ebf\u0ec5\u0ec7\u0ece-\u0ecf\u0eda-\u0edb\u0ee0-\u0eff\u0f48\u0f6d-\u0f70\u0f98\u0fbd\u0fcd\u0fdb-\u0fff\u10c6\u10c8-\u10cc\u10ce-\u10cf\u1249\u124e-\u124f\u1257\u1259\u125e-\u125f\u1289\u128e-\u128f\u12b1\u12b6-\u12b7\u12bf\u12c1\u12c6-\u12c7\u12d7\u1311\u1316-\u1317\u135b-\u135c\u137d-\u137f\u139a-\u139f\u13f6-\u13f7\u13fe-\u13ff\u169d-\u169f\u16f9-\u16ff\u170d\u1715-\u171f\u1737-\u173f\u1754-\u175f\u176d\u1771\u1774-\u177f\u17de-\u17df\u17ea-\u17ef\u17fa-\u17ff\u180f\u181a-\u181f\u1879-\u187f\u18ab-\u18af\u18f6-\u18ff\u191f\u192c-\u192f\u193c-\u193f\u1941-\u1943\u196e-\u196f\u1975-\u197f\u19ac-\u19af\u19ca-\u19cf\u19db-\u19dd\u1a1c-\u1a1d\u1a5f\u1a7d-\u1a7e\u1a8a-\u1a8f\u1a9a-\u1a9f\u1aae-\u1aaf\u1abf-\u1aff\u1b4c-\u1b4f\u1b7d-\u1b7f\u1bf4-\u1bfb\u1c38-\u1c3a\u1c4a-\u1c4c\u1c89-\u1c8f\u1cbb-\u1cbc\u1cc8-\u1ccf\u1cfa-\u1cff\u1dfa\u1f16-\u1f17\u1f1e-\u1f1f\u1f46-\u1f47\u1f4e-\u1f4f\u1f58\u1f5a\u1f5c\u1f5e\u1f7e-\u1f7f\u1fb5\u1fc5\u1fd4-\u1fd5\u1fdc\u1ff0-\u1ff1\u1ff5\u1fff\u2065\u2072-\u2073\u208f\u209d-\u209f\u20c0-\u20cf\u20f1-\u20ff\u218c-\u218f\u2427-\u243f\u244b-\u245f\u2b74-\u2b75\u2b96-\u2b97\u2bc9\u2bff\u2c2f\u2c5f\u2cf4-\u2cf8\u2d26\u2d28-\u2d2c\u2d2e-\u2d2f\u2d68-\u2d6e\u2d71-\u2d7e\u2d97-\u2d9f\u2da7\u2daf\u2db7\u2dbf\u2dc7\u2dcf\u2dd7\u2ddf\u2e4f-\u2e7f\u2e9a\u2ef4-\u2eff\u2fd6-\u2fef\u2ffc-\u2fff\u3040\u3097-\u3098\u3100-\u3104\u3130\u318f\u31bb-\u31bf\u31e4-\u31ef\u321f\u32ff\u4db6-\u4dbf\u9ff0-\u9fff\ua48d-\ua48f\ua4c7-\ua4cf\ua62c-\ua63f\ua6f8-\ua6ff\ua7ba-\ua7f6\ua82c-\ua82f\ua83a-\ua83f\ua878-\ua87f\ua8c6-\ua8cd\ua8da-\ua8df\ua954-\ua95e\ua97d-\ua97f\ua9ce\ua9da-\ua9dd\ua9ff\uaa37-\uaa3f\uaa4e-\uaa4f\uaa5a-\uaa5b\uaac3-\uaada\uaaf7-\uab00\uab07-\uab08\uab0f-\uab10\uab17-\uab1f\uab27\uab2f\uab66-\uab6f\uabee-\uabef\uabfa-\uabff\ud7a4-\ud7af\ud7c7-\ud7ca\ud7fc-\ud7ff\ufa6e-\ufa6f\ufada-\ufaff\ufb07-\ufb12\ufb18-\ufb1c\ufb37\ufb3d\ufb3f\ufb42\ufb45\ufbc2-\ufbd2\ufd40-\ufd4f\ufd90-\ufd91\ufdc8-\ufdef\ufdfe-\ufdff\ufe1a-\ufe1f\ufe53\ufe67\ufe6c-\ufe6f\ufe75\ufefd-\ufefe\uff00\uffbf-\uffc1\uffc8-\uffc9\uffd0-\uffd1\uffd8-\uffd9\uffdd-\uffdf\uffe7\uffef-\ufff8\ufffe-\uffff\U0001000c\U00010027\U0001003b\U0001003e\U0001004e-\U0001004f\U0001005e-\U0001007f\U000100fb-\U000100ff\U00010103-\U00010106\U00010134-\U00010136\U0001018f\U0001019c-\U0001019f\U000101a1-\U000101cf\U000101fe-\U0001027f\U0001029d-\U0001029f\U000102d1-\U000102df\U000102fc-\U000102ff\U00010324-\U0001032c\U0001034b-\U0001034f\U0001037b-\U0001037f\U0001039e\U000103c4-\U000103c7\U000103d6-\U000103ff\U0001049e-\U0001049f\U000104aa-\U000104af\U000104d4-\U000104d7\U000104fc-\U000104ff\U00010528-\U0001052f\U00010564-\U0001056e\U00010570-\U000105ff\U00010737-\U0001073f\U00010756-\U0001075f\U00010768-\U000107ff\U00010806-\U00010807\U00010809\U00010836\U00010839-\U0001083b\U0001083d-\U0001083e\U00010856\U0001089f-\U000108a6\U000108b0-\U000108df\U000108f3\U000108f6-\U000108fa\U0001091c-\U0001091e\U0001093a-\U0001093e\U00010940-\U0001097f\U000109b8-\U000109bb\U000109d0-\U000109d1\U00010a04\U00010a07-\U00010a0b\U00010a14\U00010a18\U00010a36-\U00010a37\U00010a3b-\U00010a3e\U00010a49-\U00010a4f\U00010a59-\U00010a5f\U00010aa0-\U00010abf\U00010ae7-\U00010aea\U00010af7-\U00010aff\U00010b36-\U00010b38\U00010b56-\U00010b57\U00010b73-\U00010b77\U00010b92-\U00010b98\U00010b9d-\U00010ba8\U00010bb0-\U00010bff\U00010c49-\U00010c7f\U00010cb3-\U00010cbf\U00010cf3-\U00010cf9\U00010d28-\U00010d2f\U00010d3a-\U00010e5f\U00010e7f-\U00010eff\U00010f28-\U00010f2f\U00010f5a-\U00010fff\U0001104e-\U00011051\U00011070-\U0001107e\U000110c2-\U000110cc\U000110ce-\U000110cf\U000110e9-\U000110ef\U000110fa-\U000110ff\U00011135\U00011147-\U0001114f\U00011177-\U0001117f\U000111ce-\U000111cf\U000111e0\U000111f5-\U000111ff\U00011212\U0001123f-\U0001127f\U00011287\U00011289\U0001128e\U0001129e\U000112aa-\U000112af\U000112eb-\U000112ef\U000112fa-\U000112ff\U00011304\U0001130d-\U0001130e\U00011311-\U00011312\U00011329\U00011331\U00011334\U0001133a\U00011345-\U00011346\U00011349-\U0001134a\U0001134e-\U0001134f\U00011351-\U00011356\U00011358-\U0001135c\U00011364-\U00011365\U0001136d-\U0001136f\U00011375-\U000113ff\U0001145a\U0001145c\U0001145f-\U0001147f\U000114c8-\U000114cf\U000114da-\U0001157f\U000115b6-\U000115b7\U000115de-\U000115ff\U00011645-\U0001164f\U0001165a-\U0001165f\U0001166d-\U0001167f\U000116b8-\U000116bf\U000116ca-\U000116ff\U0001171b-\U0001171c\U0001172c-\U0001172f\U00011740-\U000117ff\U0001183c-\U0001189f\U000118f3-\U000118fe\U00011900-\U000119ff\U00011a48-\U00011a4f\U00011a84-\U00011a85\U00011aa3-\U00011abf\U00011af9-\U00011bff\U00011c09\U00011c37\U00011c46-\U00011c4f\U00011c6d-\U00011c6f\U00011c90-\U00011c91\U00011ca8\U00011cb7-\U00011cff\U00011d07\U00011d0a\U00011d37-\U00011d39\U00011d3b\U00011d3e\U00011d48-\U00011d4f\U00011d5a-\U00011d5f\U00011d66\U00011d69\U00011d8f\U00011d92\U00011d99-\U00011d9f\U00011daa-\U00011edf\U00011ef9-\U00011fff\U0001239a-\U000123ff\U0001246f\U00012475-\U0001247f\U00012544-\U00012fff\U0001342f-\U000143ff\U00014647-\U000167ff\U00016a39-\U00016a3f\U00016a5f\U00016a6a-\U00016a6d\U00016a70-\U00016acf\U00016aee-\U00016aef\U00016af6-\U00016aff\U00016b46-\U00016b4f\U00016b5a\U00016b62\U00016b78-\U00016b7c\U00016b90-\U00016e3f\U00016e9b-\U00016eff\U00016f45-\U00016f4f\U00016f7f-\U00016f8e\U00016fa0-\U00016fdf\U00016fe2-\U00016fff\U000187f2-\U000187ff\U00018af3-\U0001afff\U0001b11f-\U0001b16f\U0001b2fc-\U0001bbff\U0001bc6b-\U0001bc6f\U0001bc7d-\U0001bc7f\U0001bc89-\U0001bc8f\U0001bc9a-\U0001bc9b\U0001bca4-\U0001cfff\U0001d0f6-\U0001d0ff\U0001d127-\U0001d128\U0001d1e9-\U0001d1ff\U0001d246-\U0001d2df\U0001d2f4-\U0001d2ff\U0001d357-\U0001d35f\U0001d379-\U0001d3ff\U0001d455\U0001d49d\U0001d4a0-\U0001d4a1\U0001d4a3-\U0001d4a4\U0001d4a7-\U0001d4a8\U0001d4ad\U0001d4ba\U0001d4bc\U0001d4c4\U0001d506\U0001d50b-\U0001d50c\U0001d515\U0001d51d\U0001d53a\U0001d53f\U0001d545\U0001d547-\U0001d549\U0001d551\U0001d6a6-\U0001d6a7\U0001d7cc-\U0001d7cd\U0001da8c-\U0001da9a\U0001daa0\U0001dab0-\U0001dfff\U0001e007\U0001e019-\U0001e01a\U0001e022\U0001e025\U0001e02b-\U0001e7ff\U0001e8c5-\U0001e8c6\U0001e8d7-\U0001e8ff\U0001e94b-\U0001e94f\U0001e95a-\U0001e95d\U0001e960-\U0001ec70\U0001ecb5-\U0001edff\U0001ee04\U0001ee20\U0001ee23\U0001ee25-\U0001ee26\U0001ee28\U0001ee33\U0001ee38\U0001ee3a\U0001ee3c-\U0001ee41\U0001ee43-\U0001ee46\U0001ee48\U0001ee4a\U0001ee4c\U0001ee50\U0001ee53\U0001ee55-\U0001ee56\U0001ee58\U0001ee5a\U0001ee5c\U0001ee5e\U0001ee60\U0001ee63\U0001ee65-\U0001ee66\U0001ee6b\U0001ee73\U0001ee78\U0001ee7d\U0001ee7f\U0001ee8a\U0001ee9c-\U0001eea0\U0001eea4\U0001eeaa\U0001eebc-\U0001eeef\U0001eef2-\U0001efff\U0001f02c-\U0001f02f\U0001f094-\U0001f09f\U0001f0af-\U0001f0b0\U0001f0c0\U0001f0d0\U0001f0f6-\U0001f0ff\U0001f10d-\U0001f10f\U0001f16c-\U0001f16f\U0001f1ad-\U0001f1e5\U0001f203-\U0001f20f\U0001f23c-\U0001f23f\U0001f249-\U0001f24f\U0001f252-\U0001f25f\U0001f266-\U0001f2ff\U0001f6d5-\U0001f6df\U0001f6ed-\U0001f6ef\U0001f6fa-\U0001f6ff\U0001f774-\U0001f77f\U0001f7d9-\U0001f7ff\U0001f80c-\U0001f80f\U0001f848-\U0001f84f\U0001f85a-\U0001f85f\U0001f888-\U0001f88f\U0001f8ae-\U0001f8ff\U0001f90c-\U0001f90f\U0001f93f\U0001f971-\U0001f972\U0001f977-\U0001f979\U0001f97b\U0001f9a3-\U0001f9af\U0001f9ba-\U0001f9bf\U0001f9c3-\U0001f9cf\U0001fa00-\U0001fa5f\U0001fa6e-\U0001ffff\U0002a6d7-\U0002a6ff\U0002b735-\U0002b73f\U0002b81e-\U0002b81f\U0002cea2-\U0002ceaf\U0002ebe1-\U0002f7ff\U0002fa1e-\U000e0000\U000e0002-\U000e001f\U000e0080-\U000e00ff\U000e01f0-\U000effff\U000ffffe-\U000fffff\U0010fffe-\U0010ffff'
-
-Co = '\ue000-\uf8ff\U000f0000-\U000ffffd\U00100000-\U0010fffd'
-
-Cs = '\ud800-\udbff\\\udc00\udc01-\udfff'
-
-Ll = 'a-z\xb5\xdf-\xf6\xf8-\xff\u0101\u0103\u0105\u0107\u0109\u010b\u010d\u010f\u0111\u0113\u0115\u0117\u0119\u011b\u011d\u011f\u0121\u0123\u0125\u0127\u0129\u012b\u012d\u012f\u0131\u0133\u0135\u0137-\u0138\u013a\u013c\u013e\u0140\u0142\u0144\u0146\u0148-\u0149\u014b\u014d\u014f\u0151\u0153\u0155\u0157\u0159\u015b\u015d\u015f\u0161\u0163\u0165\u0167\u0169\u016b\u016d\u016f\u0171\u0173\u0175\u0177\u017a\u017c\u017e-\u0180\u0183\u0185\u0188\u018c-\u018d\u0192\u0195\u0199-\u019b\u019e\u01a1\u01a3\u01a5\u01a8\u01aa-\u01ab\u01ad\u01b0\u01b4\u01b6\u01b9-\u01ba\u01bd-\u01bf\u01c6\u01c9\u01cc\u01ce\u01d0\u01d2\u01d4\u01d6\u01d8\u01da\u01dc-\u01dd\u01df\u01e1\u01e3\u01e5\u01e7\u01e9\u01eb\u01ed\u01ef-\u01f0\u01f3\u01f5\u01f9\u01fb\u01fd\u01ff\u0201\u0203\u0205\u0207\u0209\u020b\u020d\u020f\u0211\u0213\u0215\u0217\u0219\u021b\u021d\u021f\u0221\u0223\u0225\u0227\u0229\u022b\u022d\u022f\u0231\u0233-\u0239\u023c\u023f-\u0240\u0242\u0247\u0249\u024b\u024d\u024f-\u0293\u0295-\u02af\u0371\u0373\u0377\u037b-\u037d\u0390\u03ac-\u03ce\u03d0-\u03d1\u03d5-\u03d7\u03d9\u03db\u03dd\u03df\u03e1\u03e3\u03e5\u03e7\u03e9\u03eb\u03ed\u03ef-\u03f3\u03f5\u03f8\u03fb-\u03fc\u0430-\u045f\u0461\u0463\u0465\u0467\u0469\u046b\u046d\u046f\u0471\u0473\u0475\u0477\u0479\u047b\u047d\u047f\u0481\u048b\u048d\u048f\u0491\u0493\u0495\u0497\u0499\u049b\u049d\u049f\u04a1\u04a3\u04a5\u04a7\u04a9\u04ab\u04ad\u04af\u04b1\u04b3\u04b5\u04b7\u04b9\u04bb\u04bd\u04bf\u04c2\u04c4\u04c6\u04c8\u04ca\u04cc\u04ce-\u04cf\u04d1\u04d3\u04d5\u04d7\u04d9\u04db\u04dd\u04df\u04e1\u04e3\u04e5\u04e7\u04e9\u04eb\u04ed\u04ef\u04f1\u04f3\u04f5\u04f7\u04f9\u04fb\u04fd\u04ff\u0501\u0503\u0505\u0507\u0509\u050b\u050d\u050f\u0511\u0513\u0515\u0517\u0519\u051b\u051d\u051f\u0521\u0523\u0525\u0527\u0529\u052b\u052d\u052f\u0560-\u0588\u10d0-\u10fa\u10fd-\u10ff\u13f8-\u13fd\u1c80-\u1c88\u1d00-\u1d2b\u1d6b-\u1d77\u1d79-\u1d9a\u1e01\u1e03\u1e05\u1e07\u1e09\u1e0b\u1e0d\u1e0f\u1e11\u1e13\u1e15\u1e17\u1e19\u1e1b\u1e1d\u1e1f\u1e21\u1e23\u1e25\u1e27\u1e29\u1e2b\u1e2d\u1e2f\u1e31\u1e33\u1e35\u1e37\u1e39\u1e3b\u1e3d\u1e3f\u1e41\u1e43\u1e45\u1e47\u1e49\u1e4b\u1e4d\u1e4f\u1e51\u1e53\u1e55\u1e57\u1e59\u1e5b\u1e5d\u1e5f\u1e61\u1e63\u1e65\u1e67\u1e69\u1e6b\u1e6d\u1e6f\u1e71\u1e73\u1e75\u1e77\u1e79\u1e7b\u1e7d\u1e7f\u1e81\u1e83\u1e85\u1e87\u1e89\u1e8b\u1e8d\u1e8f\u1e91\u1e93\u1e95-\u1e9d\u1e9f\u1ea1\u1ea3\u1ea5\u1ea7\u1ea9\u1eab\u1ead\u1eaf\u1eb1\u1eb3\u1eb5\u1eb7\u1eb9\u1ebb\u1ebd\u1ebf\u1ec1\u1ec3\u1ec5\u1ec7\u1ec9\u1ecb\u1ecd\u1ecf\u1ed1\u1ed3\u1ed5\u1ed7\u1ed9\u1edb\u1edd\u1edf\u1ee1\u1ee3\u1ee5\u1ee7\u1ee9\u1eeb\u1eed\u1eef\u1ef1\u1ef3\u1ef5\u1ef7\u1ef9\u1efb\u1efd\u1eff-\u1f07\u1f10-\u1f15\u1f20-\u1f27\u1f30-\u1f37\u1f40-\u1f45\u1f50-\u1f57\u1f60-\u1f67\u1f70-\u1f7d\u1f80-\u1f87\u1f90-\u1f97\u1fa0-\u1fa7\u1fb0-\u1fb4\u1fb6-\u1fb7\u1fbe\u1fc2-\u1fc4\u1fc6-\u1fc7\u1fd0-\u1fd3\u1fd6-\u1fd7\u1fe0-\u1fe7\u1ff2-\u1ff4\u1ff6-\u1ff7\u210a\u210e-\u210f\u2113\u212f\u2134\u2139\u213c-\u213d\u2146-\u2149\u214e\u2184\u2c30-\u2c5e\u2c61\u2c65-\u2c66\u2c68\u2c6a\u2c6c\u2c71\u2c73-\u2c74\u2c76-\u2c7b\u2c81\u2c83\u2c85\u2c87\u2c89\u2c8b\u2c8d\u2c8f\u2c91\u2c93\u2c95\u2c97\u2c99\u2c9b\u2c9d\u2c9f\u2ca1\u2ca3\u2ca5\u2ca7\u2ca9\u2cab\u2cad\u2caf\u2cb1\u2cb3\u2cb5\u2cb7\u2cb9\u2cbb\u2cbd\u2cbf\u2cc1\u2cc3\u2cc5\u2cc7\u2cc9\u2ccb\u2ccd\u2ccf\u2cd1\u2cd3\u2cd5\u2cd7\u2cd9\u2cdb\u2cdd\u2cdf\u2ce1\u2ce3-\u2ce4\u2cec\u2cee\u2cf3\u2d00-\u2d25\u2d27\u2d2d\ua641\ua643\ua645\ua647\ua649\ua64b\ua64d\ua64f\ua651\ua653\ua655\ua657\ua659\ua65b\ua65d\ua65f\ua661\ua663\ua665\ua667\ua669\ua66b\ua66d\ua681\ua683\ua685\ua687\ua689\ua68b\ua68d\ua68f\ua691\ua693\ua695\ua697\ua699\ua69b\ua723\ua725\ua727\ua729\ua72b\ua72d\ua72f-\ua731\ua733\ua735\ua737\ua739\ua73b\ua73d\ua73f\ua741\ua743\ua745\ua747\ua749\ua74b\ua74d\ua74f\ua751\ua753\ua755\ua757\ua759\ua75b\ua75d\ua75f\ua761\ua763\ua765\ua767\ua769\ua76b\ua76d\ua76f\ua771-\ua778\ua77a\ua77c\ua77f\ua781\ua783\ua785\ua787\ua78c\ua78e\ua791\ua793-\ua795\ua797\ua799\ua79b\ua79d\ua79f\ua7a1\ua7a3\ua7a5\ua7a7\ua7a9\ua7af\ua7b5\ua7b7\ua7b9\ua7fa\uab30-\uab5a\uab60-\uab65\uab70-\uabbf\ufb00-\ufb06\ufb13-\ufb17\uff41-\uff5a\U00010428-\U0001044f\U000104d8-\U000104fb\U00010cc0-\U00010cf2\U000118c0-\U000118df\U00016e60-\U00016e7f\U0001d41a-\U0001d433\U0001d44e-\U0001d454\U0001d456-\U0001d467\U0001d482-\U0001d49b\U0001d4b6-\U0001d4b9\U0001d4bb\U0001d4bd-\U0001d4c3\U0001d4c5-\U0001d4cf\U0001d4ea-\U0001d503\U0001d51e-\U0001d537\U0001d552-\U0001d56b\U0001d586-\U0001d59f\U0001d5ba-\U0001d5d3\U0001d5ee-\U0001d607\U0001d622-\U0001d63b\U0001d656-\U0001d66f\U0001d68a-\U0001d6a5\U0001d6c2-\U0001d6da\U0001d6dc-\U0001d6e1\U0001d6fc-\U0001d714\U0001d716-\U0001d71b\U0001d736-\U0001d74e\U0001d750-\U0001d755\U0001d770-\U0001d788\U0001d78a-\U0001d78f\U0001d7aa-\U0001d7c2\U0001d7c4-\U0001d7c9\U0001d7cb\U0001e922-\U0001e943'
-
-Lm = '\u02b0-\u02c1\u02c6-\u02d1\u02e0-\u02e4\u02ec\u02ee\u0374\u037a\u0559\u0640\u06e5-\u06e6\u07f4-\u07f5\u07fa\u081a\u0824\u0828\u0971\u0e46\u0ec6\u10fc\u17d7\u1843\u1aa7\u1c78-\u1c7d\u1d2c-\u1d6a\u1d78\u1d9b-\u1dbf\u2071\u207f\u2090-\u209c\u2c7c-\u2c7d\u2d6f\u2e2f\u3005\u3031-\u3035\u303b\u309d-\u309e\u30fc-\u30fe\ua015\ua4f8-\ua4fd\ua60c\ua67f\ua69c-\ua69d\ua717-\ua71f\ua770\ua788\ua7f8-\ua7f9\ua9cf\ua9e6\uaa70\uaadd\uaaf3-\uaaf4\uab5c-\uab5f\uff70\uff9e-\uff9f\U00016b40-\U00016b43\U00016f93-\U00016f9f\U00016fe0-\U00016fe1'
-
-Lo = '\xaa\xba\u01bb\u01c0-\u01c3\u0294\u05d0-\u05ea\u05ef-\u05f2\u0620-\u063f\u0641-\u064a\u066e-\u066f\u0671-\u06d3\u06d5\u06ee-\u06ef\u06fa-\u06fc\u06ff\u0710\u0712-\u072f\u074d-\u07a5\u07b1\u07ca-\u07ea\u0800-\u0815\u0840-\u0858\u0860-\u086a\u08a0-\u08b4\u08b6-\u08bd\u0904-\u0939\u093d\u0950\u0958-\u0961\u0972-\u0980\u0985-\u098c\u098f-\u0990\u0993-\u09a8\u09aa-\u09b0\u09b2\u09b6-\u09b9\u09bd\u09ce\u09dc-\u09dd\u09df-\u09e1\u09f0-\u09f1\u09fc\u0a05-\u0a0a\u0a0f-\u0a10\u0a13-\u0a28\u0a2a-\u0a30\u0a32-\u0a33\u0a35-\u0a36\u0a38-\u0a39\u0a59-\u0a5c\u0a5e\u0a72-\u0a74\u0a85-\u0a8d\u0a8f-\u0a91\u0a93-\u0aa8\u0aaa-\u0ab0\u0ab2-\u0ab3\u0ab5-\u0ab9\u0abd\u0ad0\u0ae0-\u0ae1\u0af9\u0b05-\u0b0c\u0b0f-\u0b10\u0b13-\u0b28\u0b2a-\u0b30\u0b32-\u0b33\u0b35-\u0b39\u0b3d\u0b5c-\u0b5d\u0b5f-\u0b61\u0b71\u0b83\u0b85-\u0b8a\u0b8e-\u0b90\u0b92-\u0b95\u0b99-\u0b9a\u0b9c\u0b9e-\u0b9f\u0ba3-\u0ba4\u0ba8-\u0baa\u0bae-\u0bb9\u0bd0\u0c05-\u0c0c\u0c0e-\u0c10\u0c12-\u0c28\u0c2a-\u0c39\u0c3d\u0c58-\u0c5a\u0c60-\u0c61\u0c80\u0c85-\u0c8c\u0c8e-\u0c90\u0c92-\u0ca8\u0caa-\u0cb3\u0cb5-\u0cb9\u0cbd\u0cde\u0ce0-\u0ce1\u0cf1-\u0cf2\u0d05-\u0d0c\u0d0e-\u0d10\u0d12-\u0d3a\u0d3d\u0d4e\u0d54-\u0d56\u0d5f-\u0d61\u0d7a-\u0d7f\u0d85-\u0d96\u0d9a-\u0db1\u0db3-\u0dbb\u0dbd\u0dc0-\u0dc6\u0e01-\u0e30\u0e32-\u0e33\u0e40-\u0e45\u0e81-\u0e82\u0e84\u0e87-\u0e88\u0e8a\u0e8d\u0e94-\u0e97\u0e99-\u0e9f\u0ea1-\u0ea3\u0ea5\u0ea7\u0eaa-\u0eab\u0ead-\u0eb0\u0eb2-\u0eb3\u0ebd\u0ec0-\u0ec4\u0edc-\u0edf\u0f00\u0f40-\u0f47\u0f49-\u0f6c\u0f88-\u0f8c\u1000-\u102a\u103f\u1050-\u1055\u105a-\u105d\u1061\u1065-\u1066\u106e-\u1070\u1075-\u1081\u108e\u1100-\u1248\u124a-\u124d\u1250-\u1256\u1258\u125a-\u125d\u1260-\u1288\u128a-\u128d\u1290-\u12b0\u12b2-\u12b5\u12b8-\u12be\u12c0\u12c2-\u12c5\u12c8-\u12d6\u12d8-\u1310\u1312-\u1315\u1318-\u135a\u1380-\u138f\u1401-\u166c\u166f-\u167f\u1681-\u169a\u16a0-\u16ea\u16f1-\u16f8\u1700-\u170c\u170e-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176c\u176e-\u1770\u1780-\u17b3\u17dc\u1820-\u1842\u1844-\u1878\u1880-\u1884\u1887-\u18a8\u18aa\u18b0-\u18f5\u1900-\u191e\u1950-\u196d\u1970-\u1974\u1980-\u19ab\u19b0-\u19c9\u1a00-\u1a16\u1a20-\u1a54\u1b05-\u1b33\u1b45-\u1b4b\u1b83-\u1ba0\u1bae-\u1baf\u1bba-\u1be5\u1c00-\u1c23\u1c4d-\u1c4f\u1c5a-\u1c77\u1ce9-\u1cec\u1cee-\u1cf1\u1cf5-\u1cf6\u2135-\u2138\u2d30-\u2d67\u2d80-\u2d96\u2da0-\u2da6\u2da8-\u2dae\u2db0-\u2db6\u2db8-\u2dbe\u2dc0-\u2dc6\u2dc8-\u2dce\u2dd0-\u2dd6\u2dd8-\u2dde\u3006\u303c\u3041-\u3096\u309f\u30a1-\u30fa\u30ff\u3105-\u312f\u3131-\u318e\u31a0-\u31ba\u31f0-\u31ff\u3400-\u4db5\u4e00-\u9fef\ua000-\ua014\ua016-\ua48c\ua4d0-\ua4f7\ua500-\ua60b\ua610-\ua61f\ua62a-\ua62b\ua66e\ua6a0-\ua6e5\ua78f\ua7f7\ua7fb-\ua801\ua803-\ua805\ua807-\ua80a\ua80c-\ua822\ua840-\ua873\ua882-\ua8b3\ua8f2-\ua8f7\ua8fb\ua8fd-\ua8fe\ua90a-\ua925\ua930-\ua946\ua960-\ua97c\ua984-\ua9b2\ua9e0-\ua9e4\ua9e7-\ua9ef\ua9fa-\ua9fe\uaa00-\uaa28\uaa40-\uaa42\uaa44-\uaa4b\uaa60-\uaa6f\uaa71-\uaa76\uaa7a\uaa7e-\uaaaf\uaab1\uaab5-\uaab6\uaab9-\uaabd\uaac0\uaac2\uaadb-\uaadc\uaae0-\uaaea\uaaf2\uab01-\uab06\uab09-\uab0e\uab11-\uab16\uab20-\uab26\uab28-\uab2e\uabc0-\uabe2\uac00-\ud7a3\ud7b0-\ud7c6\ud7cb-\ud7fb\uf900-\ufa6d\ufa70-\ufad9\ufb1d\ufb1f-\ufb28\ufb2a-\ufb36\ufb38-\ufb3c\ufb3e\ufb40-\ufb41\ufb43-\ufb44\ufb46-\ufbb1\ufbd3-\ufd3d\ufd50-\ufd8f\ufd92-\ufdc7\ufdf0-\ufdfb\ufe70-\ufe74\ufe76-\ufefc\uff66-\uff6f\uff71-\uff9d\uffa0-\uffbe\uffc2-\uffc7\uffca-\uffcf\uffd2-\uffd7\uffda-\uffdc\U00010000-\U0001000b\U0001000d-\U00010026\U00010028-\U0001003a\U0001003c-\U0001003d\U0001003f-\U0001004d\U00010050-\U0001005d\U00010080-\U000100fa\U00010280-\U0001029c\U000102a0-\U000102d0\U00010300-\U0001031f\U0001032d-\U00010340\U00010342-\U00010349\U00010350-\U00010375\U00010380-\U0001039d\U000103a0-\U000103c3\U000103c8-\U000103cf\U00010450-\U0001049d\U00010500-\U00010527\U00010530-\U00010563\U00010600-\U00010736\U00010740-\U00010755\U00010760-\U00010767\U00010800-\U00010805\U00010808\U0001080a-\U00010835\U00010837-\U00010838\U0001083c\U0001083f-\U00010855\U00010860-\U00010876\U00010880-\U0001089e\U000108e0-\U000108f2\U000108f4-\U000108f5\U00010900-\U00010915\U00010920-\U00010939\U00010980-\U000109b7\U000109be-\U000109bf\U00010a00\U00010a10-\U00010a13\U00010a15-\U00010a17\U00010a19-\U00010a35\U00010a60-\U00010a7c\U00010a80-\U00010a9c\U00010ac0-\U00010ac7\U00010ac9-\U00010ae4\U00010b00-\U00010b35\U00010b40-\U00010b55\U00010b60-\U00010b72\U00010b80-\U00010b91\U00010c00-\U00010c48\U00010d00-\U00010d23\U00010f00-\U00010f1c\U00010f27\U00010f30-\U00010f45\U00011003-\U00011037\U00011083-\U000110af\U000110d0-\U000110e8\U00011103-\U00011126\U00011144\U00011150-\U00011172\U00011176\U00011183-\U000111b2\U000111c1-\U000111c4\U000111da\U000111dc\U00011200-\U00011211\U00011213-\U0001122b\U00011280-\U00011286\U00011288\U0001128a-\U0001128d\U0001128f-\U0001129d\U0001129f-\U000112a8\U000112b0-\U000112de\U00011305-\U0001130c\U0001130f-\U00011310\U00011313-\U00011328\U0001132a-\U00011330\U00011332-\U00011333\U00011335-\U00011339\U0001133d\U00011350\U0001135d-\U00011361\U00011400-\U00011434\U00011447-\U0001144a\U00011480-\U000114af\U000114c4-\U000114c5\U000114c7\U00011580-\U000115ae\U000115d8-\U000115db\U00011600-\U0001162f\U00011644\U00011680-\U000116aa\U00011700-\U0001171a\U00011800-\U0001182b\U000118ff\U00011a00\U00011a0b-\U00011a32\U00011a3a\U00011a50\U00011a5c-\U00011a83\U00011a86-\U00011a89\U00011a9d\U00011ac0-\U00011af8\U00011c00-\U00011c08\U00011c0a-\U00011c2e\U00011c40\U00011c72-\U00011c8f\U00011d00-\U00011d06\U00011d08-\U00011d09\U00011d0b-\U00011d30\U00011d46\U00011d60-\U00011d65\U00011d67-\U00011d68\U00011d6a-\U00011d89\U00011d98\U00011ee0-\U00011ef2\U00012000-\U00012399\U00012480-\U00012543\U00013000-\U0001342e\U00014400-\U00014646\U00016800-\U00016a38\U00016a40-\U00016a5e\U00016ad0-\U00016aed\U00016b00-\U00016b2f\U00016b63-\U00016b77\U00016b7d-\U00016b8f\U00016f00-\U00016f44\U00016f50\U00017000-\U000187f1\U00018800-\U00018af2\U0001b000-\U0001b11e\U0001b170-\U0001b2fb\U0001bc00-\U0001bc6a\U0001bc70-\U0001bc7c\U0001bc80-\U0001bc88\U0001bc90-\U0001bc99\U0001e800-\U0001e8c4\U0001ee00-\U0001ee03\U0001ee05-\U0001ee1f\U0001ee21-\U0001ee22\U0001ee24\U0001ee27\U0001ee29-\U0001ee32\U0001ee34-\U0001ee37\U0001ee39\U0001ee3b\U0001ee42\U0001ee47\U0001ee49\U0001ee4b\U0001ee4d-\U0001ee4f\U0001ee51-\U0001ee52\U0001ee54\U0001ee57\U0001ee59\U0001ee5b\U0001ee5d\U0001ee5f\U0001ee61-\U0001ee62\U0001ee64\U0001ee67-\U0001ee6a\U0001ee6c-\U0001ee72\U0001ee74-\U0001ee77\U0001ee79-\U0001ee7c\U0001ee7e\U0001ee80-\U0001ee89\U0001ee8b-\U0001ee9b\U0001eea1-\U0001eea3\U0001eea5-\U0001eea9\U0001eeab-\U0001eebb\U00020000-\U0002a6d6\U0002a700-\U0002b734\U0002b740-\U0002b81d\U0002b820-\U0002cea1\U0002ceb0-\U0002ebe0\U0002f800-\U0002fa1d'
-
-Lt = '\u01c5\u01c8\u01cb\u01f2\u1f88-\u1f8f\u1f98-\u1f9f\u1fa8-\u1faf\u1fbc\u1fcc\u1ffc'
-
-Lu = 'A-Z\xc0-\xd6\xd8-\xde\u0100\u0102\u0104\u0106\u0108\u010a\u010c\u010e\u0110\u0112\u0114\u0116\u0118\u011a\u011c\u011e\u0120\u0122\u0124\u0126\u0128\u012a\u012c\u012e\u0130\u0132\u0134\u0136\u0139\u013b\u013d\u013f\u0141\u0143\u0145\u0147\u014a\u014c\u014e\u0150\u0152\u0154\u0156\u0158\u015a\u015c\u015e\u0160\u0162\u0164\u0166\u0168\u016a\u016c\u016e\u0170\u0172\u0174\u0176\u0178-\u0179\u017b\u017d\u0181-\u0182\u0184\u0186-\u0187\u0189-\u018b\u018e-\u0191\u0193-\u0194\u0196-\u0198\u019c-\u019d\u019f-\u01a0\u01a2\u01a4\u01a6-\u01a7\u01a9\u01ac\u01ae-\u01af\u01b1-\u01b3\u01b5\u01b7-\u01b8\u01bc\u01c4\u01c7\u01ca\u01cd\u01cf\u01d1\u01d3\u01d5\u01d7\u01d9\u01db\u01de\u01e0\u01e2\u01e4\u01e6\u01e8\u01ea\u01ec\u01ee\u01f1\u01f4\u01f6-\u01f8\u01fa\u01fc\u01fe\u0200\u0202\u0204\u0206\u0208\u020a\u020c\u020e\u0210\u0212\u0214\u0216\u0218\u021a\u021c\u021e\u0220\u0222\u0224\u0226\u0228\u022a\u022c\u022e\u0230\u0232\u023a-\u023b\u023d-\u023e\u0241\u0243-\u0246\u0248\u024a\u024c\u024e\u0370\u0372\u0376\u037f\u0386\u0388-\u038a\u038c\u038e-\u038f\u0391-\u03a1\u03a3-\u03ab\u03cf\u03d2-\u03d4\u03d8\u03da\u03dc\u03de\u03e0\u03e2\u03e4\u03e6\u03e8\u03ea\u03ec\u03ee\u03f4\u03f7\u03f9-\u03fa\u03fd-\u042f\u0460\u0462\u0464\u0466\u0468\u046a\u046c\u046e\u0470\u0472\u0474\u0476\u0478\u047a\u047c\u047e\u0480\u048a\u048c\u048e\u0490\u0492\u0494\u0496\u0498\u049a\u049c\u049e\u04a0\u04a2\u04a4\u04a6\u04a8\u04aa\u04ac\u04ae\u04b0\u04b2\u04b4\u04b6\u04b8\u04ba\u04bc\u04be\u04c0-\u04c1\u04c3\u04c5\u04c7\u04c9\u04cb\u04cd\u04d0\u04d2\u04d4\u04d6\u04d8\u04da\u04dc\u04de\u04e0\u04e2\u04e4\u04e6\u04e8\u04ea\u04ec\u04ee\u04f0\u04f2\u04f4\u04f6\u04f8\u04fa\u04fc\u04fe\u0500\u0502\u0504\u0506\u0508\u050a\u050c\u050e\u0510\u0512\u0514\u0516\u0518\u051a\u051c\u051e\u0520\u0522\u0524\u0526\u0528\u052a\u052c\u052e\u0531-\u0556\u10a0-\u10c5\u10c7\u10cd\u13a0-\u13f5\u1c90-\u1cba\u1cbd-\u1cbf\u1e00\u1e02\u1e04\u1e06\u1e08\u1e0a\u1e0c\u1e0e\u1e10\u1e12\u1e14\u1e16\u1e18\u1e1a\u1e1c\u1e1e\u1e20\u1e22\u1e24\u1e26\u1e28\u1e2a\u1e2c\u1e2e\u1e30\u1e32\u1e34\u1e36\u1e38\u1e3a\u1e3c\u1e3e\u1e40\u1e42\u1e44\u1e46\u1e48\u1e4a\u1e4c\u1e4e\u1e50\u1e52\u1e54\u1e56\u1e58\u1e5a\u1e5c\u1e5e\u1e60\u1e62\u1e64\u1e66\u1e68\u1e6a\u1e6c\u1e6e\u1e70\u1e72\u1e74\u1e76\u1e78\u1e7a\u1e7c\u1e7e\u1e80\u1e82\u1e84\u1e86\u1e88\u1e8a\u1e8c\u1e8e\u1e90\u1e92\u1e94\u1e9e\u1ea0\u1ea2\u1ea4\u1ea6\u1ea8\u1eaa\u1eac\u1eae\u1eb0\u1eb2\u1eb4\u1eb6\u1eb8\u1eba\u1ebc\u1ebe\u1ec0\u1ec2\u1ec4\u1ec6\u1ec8\u1eca\u1ecc\u1ece\u1ed0\u1ed2\u1ed4\u1ed6\u1ed8\u1eda\u1edc\u1ede\u1ee0\u1ee2\u1ee4\u1ee6\u1ee8\u1eea\u1eec\u1eee\u1ef0\u1ef2\u1ef4\u1ef6\u1ef8\u1efa\u1efc\u1efe\u1f08-\u1f0f\u1f18-\u1f1d\u1f28-\u1f2f\u1f38-\u1f3f\u1f48-\u1f4d\u1f59\u1f5b\u1f5d\u1f5f\u1f68-\u1f6f\u1fb8-\u1fbb\u1fc8-\u1fcb\u1fd8-\u1fdb\u1fe8-\u1fec\u1ff8-\u1ffb\u2102\u2107\u210b-\u210d\u2110-\u2112\u2115\u2119-\u211d\u2124\u2126\u2128\u212a-\u212d\u2130-\u2133\u213e-\u213f\u2145\u2183\u2c00-\u2c2e\u2c60\u2c62-\u2c64\u2c67\u2c69\u2c6b\u2c6d-\u2c70\u2c72\u2c75\u2c7e-\u2c80\u2c82\u2c84\u2c86\u2c88\u2c8a\u2c8c\u2c8e\u2c90\u2c92\u2c94\u2c96\u2c98\u2c9a\u2c9c\u2c9e\u2ca0\u2ca2\u2ca4\u2ca6\u2ca8\u2caa\u2cac\u2cae\u2cb0\u2cb2\u2cb4\u2cb6\u2cb8\u2cba\u2cbc\u2cbe\u2cc0\u2cc2\u2cc4\u2cc6\u2cc8\u2cca\u2ccc\u2cce\u2cd0\u2cd2\u2cd4\u2cd6\u2cd8\u2cda\u2cdc\u2cde\u2ce0\u2ce2\u2ceb\u2ced\u2cf2\ua640\ua642\ua644\ua646\ua648\ua64a\ua64c\ua64e\ua650\ua652\ua654\ua656\ua658\ua65a\ua65c\ua65e\ua660\ua662\ua664\ua666\ua668\ua66a\ua66c\ua680\ua682\ua684\ua686\ua688\ua68a\ua68c\ua68e\ua690\ua692\ua694\ua696\ua698\ua69a\ua722\ua724\ua726\ua728\ua72a\ua72c\ua72e\ua732\ua734\ua736\ua738\ua73a\ua73c\ua73e\ua740\ua742\ua744\ua746\ua748\ua74a\ua74c\ua74e\ua750\ua752\ua754\ua756\ua758\ua75a\ua75c\ua75e\ua760\ua762\ua764\ua766\ua768\ua76a\ua76c\ua76e\ua779\ua77b\ua77d-\ua77e\ua780\ua782\ua784\ua786\ua78b\ua78d\ua790\ua792\ua796\ua798\ua79a\ua79c\ua79e\ua7a0\ua7a2\ua7a4\ua7a6\ua7a8\ua7aa-\ua7ae\ua7b0-\ua7b4\ua7b6\ua7b8\uff21-\uff3a\U00010400-\U00010427\U000104b0-\U000104d3\U00010c80-\U00010cb2\U000118a0-\U000118bf\U00016e40-\U00016e5f\U0001d400-\U0001d419\U0001d434-\U0001d44d\U0001d468-\U0001d481\U0001d49c\U0001d49e-\U0001d49f\U0001d4a2\U0001d4a5-\U0001d4a6\U0001d4a9-\U0001d4ac\U0001d4ae-\U0001d4b5\U0001d4d0-\U0001d4e9\U0001d504-\U0001d505\U0001d507-\U0001d50a\U0001d50d-\U0001d514\U0001d516-\U0001d51c\U0001d538-\U0001d539\U0001d53b-\U0001d53e\U0001d540-\U0001d544\U0001d546\U0001d54a-\U0001d550\U0001d56c-\U0001d585\U0001d5a0-\U0001d5b9\U0001d5d4-\U0001d5ed\U0001d608-\U0001d621\U0001d63c-\U0001d655\U0001d670-\U0001d689\U0001d6a8-\U0001d6c0\U0001d6e2-\U0001d6fa\U0001d71c-\U0001d734\U0001d756-\U0001d76e\U0001d790-\U0001d7a8\U0001d7ca\U0001e900-\U0001e921'
-
-Mc = '\u0903\u093b\u093e-\u0940\u0949-\u094c\u094e-\u094f\u0982-\u0983\u09be-\u09c0\u09c7-\u09c8\u09cb-\u09cc\u09d7\u0a03\u0a3e-\u0a40\u0a83\u0abe-\u0ac0\u0ac9\u0acb-\u0acc\u0b02-\u0b03\u0b3e\u0b40\u0b47-\u0b48\u0b4b-\u0b4c\u0b57\u0bbe-\u0bbf\u0bc1-\u0bc2\u0bc6-\u0bc8\u0bca-\u0bcc\u0bd7\u0c01-\u0c03\u0c41-\u0c44\u0c82-\u0c83\u0cbe\u0cc0-\u0cc4\u0cc7-\u0cc8\u0cca-\u0ccb\u0cd5-\u0cd6\u0d02-\u0d03\u0d3e-\u0d40\u0d46-\u0d48\u0d4a-\u0d4c\u0d57\u0d82-\u0d83\u0dcf-\u0dd1\u0dd8-\u0ddf\u0df2-\u0df3\u0f3e-\u0f3f\u0f7f\u102b-\u102c\u1031\u1038\u103b-\u103c\u1056-\u1057\u1062-\u1064\u1067-\u106d\u1083-\u1084\u1087-\u108c\u108f\u109a-\u109c\u17b6\u17be-\u17c5\u17c7-\u17c8\u1923-\u1926\u1929-\u192b\u1930-\u1931\u1933-\u1938\u1a19-\u1a1a\u1a55\u1a57\u1a61\u1a63-\u1a64\u1a6d-\u1a72\u1b04\u1b35\u1b3b\u1b3d-\u1b41\u1b43-\u1b44\u1b82\u1ba1\u1ba6-\u1ba7\u1baa\u1be7\u1bea-\u1bec\u1bee\u1bf2-\u1bf3\u1c24-\u1c2b\u1c34-\u1c35\u1ce1\u1cf2-\u1cf3\u1cf7\u302e-\u302f\ua823-\ua824\ua827\ua880-\ua881\ua8b4-\ua8c3\ua952-\ua953\ua983\ua9b4-\ua9b5\ua9ba-\ua9bb\ua9bd-\ua9c0\uaa2f-\uaa30\uaa33-\uaa34\uaa4d\uaa7b\uaa7d\uaaeb\uaaee-\uaaef\uaaf5\uabe3-\uabe4\uabe6-\uabe7\uabe9-\uabea\uabec\U00011000\U00011002\U00011082\U000110b0-\U000110b2\U000110b7-\U000110b8\U0001112c\U00011145-\U00011146\U00011182\U000111b3-\U000111b5\U000111bf-\U000111c0\U0001122c-\U0001122e\U00011232-\U00011233\U00011235\U000112e0-\U000112e2\U00011302-\U00011303\U0001133e-\U0001133f\U00011341-\U00011344\U00011347-\U00011348\U0001134b-\U0001134d\U00011357\U00011362-\U00011363\U00011435-\U00011437\U00011440-\U00011441\U00011445\U000114b0-\U000114b2\U000114b9\U000114bb-\U000114be\U000114c1\U000115af-\U000115b1\U000115b8-\U000115bb\U000115be\U00011630-\U00011632\U0001163b-\U0001163c\U0001163e\U000116ac\U000116ae-\U000116af\U000116b6\U00011720-\U00011721\U00011726\U0001182c-\U0001182e\U00011838\U00011a39\U00011a57-\U00011a58\U00011a97\U00011c2f\U00011c3e\U00011ca9\U00011cb1\U00011cb4\U00011d8a-\U00011d8e\U00011d93-\U00011d94\U00011d96\U00011ef5-\U00011ef6\U00016f51-\U00016f7e\U0001d165-\U0001d166\U0001d16d-\U0001d172'
-
-Me = '\u0488-\u0489\u1abe\u20dd-\u20e0\u20e2-\u20e4\ua670-\ua672'
-
-Mn = '\u0300-\u036f\u0483-\u0487\u0591-\u05bd\u05bf\u05c1-\u05c2\u05c4-\u05c5\u05c7\u0610-\u061a\u064b-\u065f\u0670\u06d6-\u06dc\u06df-\u06e4\u06e7-\u06e8\u06ea-\u06ed\u0711\u0730-\u074a\u07a6-\u07b0\u07eb-\u07f3\u07fd\u0816-\u0819\u081b-\u0823\u0825-\u0827\u0829-\u082d\u0859-\u085b\u08d3-\u08e1\u08e3-\u0902\u093a\u093c\u0941-\u0948\u094d\u0951-\u0957\u0962-\u0963\u0981\u09bc\u09c1-\u09c4\u09cd\u09e2-\u09e3\u09fe\u0a01-\u0a02\u0a3c\u0a41-\u0a42\u0a47-\u0a48\u0a4b-\u0a4d\u0a51\u0a70-\u0a71\u0a75\u0a81-\u0a82\u0abc\u0ac1-\u0ac5\u0ac7-\u0ac8\u0acd\u0ae2-\u0ae3\u0afa-\u0aff\u0b01\u0b3c\u0b3f\u0b41-\u0b44\u0b4d\u0b56\u0b62-\u0b63\u0b82\u0bc0\u0bcd\u0c00\u0c04\u0c3e-\u0c40\u0c46-\u0c48\u0c4a-\u0c4d\u0c55-\u0c56\u0c62-\u0c63\u0c81\u0cbc\u0cbf\u0cc6\u0ccc-\u0ccd\u0ce2-\u0ce3\u0d00-\u0d01\u0d3b-\u0d3c\u0d41-\u0d44\u0d4d\u0d62-\u0d63\u0dca\u0dd2-\u0dd4\u0dd6\u0e31\u0e34-\u0e3a\u0e47-\u0e4e\u0eb1\u0eb4-\u0eb9\u0ebb-\u0ebc\u0ec8-\u0ecd\u0f18-\u0f19\u0f35\u0f37\u0f39\u0f71-\u0f7e\u0f80-\u0f84\u0f86-\u0f87\u0f8d-\u0f97\u0f99-\u0fbc\u0fc6\u102d-\u1030\u1032-\u1037\u1039-\u103a\u103d-\u103e\u1058-\u1059\u105e-\u1060\u1071-\u1074\u1082\u1085-\u1086\u108d\u109d\u135d-\u135f\u1712-\u1714\u1732-\u1734\u1752-\u1753\u1772-\u1773\u17b4-\u17b5\u17b7-\u17bd\u17c6\u17c9-\u17d3\u17dd\u180b-\u180d\u1885-\u1886\u18a9\u1920-\u1922\u1927-\u1928\u1932\u1939-\u193b\u1a17-\u1a18\u1a1b\u1a56\u1a58-\u1a5e\u1a60\u1a62\u1a65-\u1a6c\u1a73-\u1a7c\u1a7f\u1ab0-\u1abd\u1b00-\u1b03\u1b34\u1b36-\u1b3a\u1b3c\u1b42\u1b6b-\u1b73\u1b80-\u1b81\u1ba2-\u1ba5\u1ba8-\u1ba9\u1bab-\u1bad\u1be6\u1be8-\u1be9\u1bed\u1bef-\u1bf1\u1c2c-\u1c33\u1c36-\u1c37\u1cd0-\u1cd2\u1cd4-\u1ce0\u1ce2-\u1ce8\u1ced\u1cf4\u1cf8-\u1cf9\u1dc0-\u1df9\u1dfb-\u1dff\u20d0-\u20dc\u20e1\u20e5-\u20f0\u2cef-\u2cf1\u2d7f\u2de0-\u2dff\u302a-\u302d\u3099-\u309a\ua66f\ua674-\ua67d\ua69e-\ua69f\ua6f0-\ua6f1\ua802\ua806\ua80b\ua825-\ua826\ua8c4-\ua8c5\ua8e0-\ua8f1\ua8ff\ua926-\ua92d\ua947-\ua951\ua980-\ua982\ua9b3\ua9b6-\ua9b9\ua9bc\ua9e5\uaa29-\uaa2e\uaa31-\uaa32\uaa35-\uaa36\uaa43\uaa4c\uaa7c\uaab0\uaab2-\uaab4\uaab7-\uaab8\uaabe-\uaabf\uaac1\uaaec-\uaaed\uaaf6\uabe5\uabe8\uabed\ufb1e\ufe00-\ufe0f\ufe20-\ufe2f\U000101fd\U000102e0\U00010376-\U0001037a\U00010a01-\U00010a03\U00010a05-\U00010a06\U00010a0c-\U00010a0f\U00010a38-\U00010a3a\U00010a3f\U00010ae5-\U00010ae6\U00010d24-\U00010d27\U00010f46-\U00010f50\U00011001\U00011038-\U00011046\U0001107f-\U00011081\U000110b3-\U000110b6\U000110b9-\U000110ba\U00011100-\U00011102\U00011127-\U0001112b\U0001112d-\U00011134\U00011173\U00011180-\U00011181\U000111b6-\U000111be\U000111c9-\U000111cc\U0001122f-\U00011231\U00011234\U00011236-\U00011237\U0001123e\U000112df\U000112e3-\U000112ea\U00011300-\U00011301\U0001133b-\U0001133c\U00011340\U00011366-\U0001136c\U00011370-\U00011374\U00011438-\U0001143f\U00011442-\U00011444\U00011446\U0001145e\U000114b3-\U000114b8\U000114ba\U000114bf-\U000114c0\U000114c2-\U000114c3\U000115b2-\U000115b5\U000115bc-\U000115bd\U000115bf-\U000115c0\U000115dc-\U000115dd\U00011633-\U0001163a\U0001163d\U0001163f-\U00011640\U000116ab\U000116ad\U000116b0-\U000116b5\U000116b7\U0001171d-\U0001171f\U00011722-\U00011725\U00011727-\U0001172b\U0001182f-\U00011837\U00011839-\U0001183a\U00011a01-\U00011a0a\U00011a33-\U00011a38\U00011a3b-\U00011a3e\U00011a47\U00011a51-\U00011a56\U00011a59-\U00011a5b\U00011a8a-\U00011a96\U00011a98-\U00011a99\U00011c30-\U00011c36\U00011c38-\U00011c3d\U00011c3f\U00011c92-\U00011ca7\U00011caa-\U00011cb0\U00011cb2-\U00011cb3\U00011cb5-\U00011cb6\U00011d31-\U00011d36\U00011d3a\U00011d3c-\U00011d3d\U00011d3f-\U00011d45\U00011d47\U00011d90-\U00011d91\U00011d95\U00011d97\U00011ef3-\U00011ef4\U00016af0-\U00016af4\U00016b30-\U00016b36\U00016f8f-\U00016f92\U0001bc9d-\U0001bc9e\U0001d167-\U0001d169\U0001d17b-\U0001d182\U0001d185-\U0001d18b\U0001d1aa-\U0001d1ad\U0001d242-\U0001d244\U0001da00-\U0001da36\U0001da3b-\U0001da6c\U0001da75\U0001da84\U0001da9b-\U0001da9f\U0001daa1-\U0001daaf\U0001e000-\U0001e006\U0001e008-\U0001e018\U0001e01b-\U0001e021\U0001e023-\U0001e024\U0001e026-\U0001e02a\U0001e8d0-\U0001e8d6\U0001e944-\U0001e94a\U000e0100-\U000e01ef'
-
-Nd = '0-9\u0660-\u0669\u06f0-\u06f9\u07c0-\u07c9\u0966-\u096f\u09e6-\u09ef\u0a66-\u0a6f\u0ae6-\u0aef\u0b66-\u0b6f\u0be6-\u0bef\u0c66-\u0c6f\u0ce6-\u0cef\u0d66-\u0d6f\u0de6-\u0def\u0e50-\u0e59\u0ed0-\u0ed9\u0f20-\u0f29\u1040-\u1049\u1090-\u1099\u17e0-\u17e9\u1810-\u1819\u1946-\u194f\u19d0-\u19d9\u1a80-\u1a89\u1a90-\u1a99\u1b50-\u1b59\u1bb0-\u1bb9\u1c40-\u1c49\u1c50-\u1c59\ua620-\ua629\ua8d0-\ua8d9\ua900-\ua909\ua9d0-\ua9d9\ua9f0-\ua9f9\uaa50-\uaa59\uabf0-\uabf9\uff10-\uff19\U000104a0-\U000104a9\U00010d30-\U00010d39\U00011066-\U0001106f\U000110f0-\U000110f9\U00011136-\U0001113f\U000111d0-\U000111d9\U000112f0-\U000112f9\U00011450-\U00011459\U000114d0-\U000114d9\U00011650-\U00011659\U000116c0-\U000116c9\U00011730-\U00011739\U000118e0-\U000118e9\U00011c50-\U00011c59\U00011d50-\U00011d59\U00011da0-\U00011da9\U00016a60-\U00016a69\U00016b50-\U00016b59\U0001d7ce-\U0001d7ff\U0001e950-\U0001e959'
-
-Nl = '\u16ee-\u16f0\u2160-\u2182\u2185-\u2188\u3007\u3021-\u3029\u3038-\u303a\ua6e6-\ua6ef\U00010140-\U00010174\U00010341\U0001034a\U000103d1-\U000103d5\U00012400-\U0001246e'
-
-No = '\xb2-\xb3\xb9\xbc-\xbe\u09f4-\u09f9\u0b72-\u0b77\u0bf0-\u0bf2\u0c78-\u0c7e\u0d58-\u0d5e\u0d70-\u0d78\u0f2a-\u0f33\u1369-\u137c\u17f0-\u17f9\u19da\u2070\u2074-\u2079\u2080-\u2089\u2150-\u215f\u2189\u2460-\u249b\u24ea-\u24ff\u2776-\u2793\u2cfd\u3192-\u3195\u3220-\u3229\u3248-\u324f\u3251-\u325f\u3280-\u3289\u32b1-\u32bf\ua830-\ua835\U00010107-\U00010133\U00010175-\U00010178\U0001018a-\U0001018b\U000102e1-\U000102fb\U00010320-\U00010323\U00010858-\U0001085f\U00010879-\U0001087f\U000108a7-\U000108af\U000108fb-\U000108ff\U00010916-\U0001091b\U000109bc-\U000109bd\U000109c0-\U000109cf\U000109d2-\U000109ff\U00010a40-\U00010a48\U00010a7d-\U00010a7e\U00010a9d-\U00010a9f\U00010aeb-\U00010aef\U00010b58-\U00010b5f\U00010b78-\U00010b7f\U00010ba9-\U00010baf\U00010cfa-\U00010cff\U00010e60-\U00010e7e\U00010f1d-\U00010f26\U00010f51-\U00010f54\U00011052-\U00011065\U000111e1-\U000111f4\U0001173a-\U0001173b\U000118ea-\U000118f2\U00011c5a-\U00011c6c\U00016b5b-\U00016b61\U00016e80-\U00016e96\U0001d2e0-\U0001d2f3\U0001d360-\U0001d378\U0001e8c7-\U0001e8cf\U0001ec71-\U0001ecab\U0001ecad-\U0001ecaf\U0001ecb1-\U0001ecb4\U0001f100-\U0001f10c'
-
-Pc = '_\u203f-\u2040\u2054\ufe33-\ufe34\ufe4d-\ufe4f\uff3f'
-
-Pd = '\\-\u058a\u05be\u1400\u1806\u2010-\u2015\u2e17\u2e1a\u2e3a-\u2e3b\u2e40\u301c\u3030\u30a0\ufe31-\ufe32\ufe58\ufe63\uff0d'
-
-Pe = ')\\]}\u0f3b\u0f3d\u169c\u2046\u207e\u208e\u2309\u230b\u232a\u2769\u276b\u276d\u276f\u2771\u2773\u2775\u27c6\u27e7\u27e9\u27eb\u27ed\u27ef\u2984\u2986\u2988\u298a\u298c\u298e\u2990\u2992\u2994\u2996\u2998\u29d9\u29db\u29fd\u2e23\u2e25\u2e27\u2e29\u3009\u300b\u300d\u300f\u3011\u3015\u3017\u3019\u301b\u301e-\u301f\ufd3e\ufe18\ufe36\ufe38\ufe3a\ufe3c\ufe3e\ufe40\ufe42\ufe44\ufe48\ufe5a\ufe5c\ufe5e\uff09\uff3d\uff5d\uff60\uff63'
-
-Pf = '\xbb\u2019\u201d\u203a\u2e03\u2e05\u2e0a\u2e0d\u2e1d\u2e21'
-
-Pi = '\xab\u2018\u201b-\u201c\u201f\u2039\u2e02\u2e04\u2e09\u2e0c\u2e1c\u2e20'
-
-Po = "!-#%-'*,.-/:-;?-@\\\\\xa1\xa7\xb6-\xb7\xbf\u037e\u0387\u055a-\u055f\u0589\u05c0\u05c3\u05c6\u05f3-\u05f4\u0609-\u060a\u060c-\u060d\u061b\u061e-\u061f\u066a-\u066d\u06d4\u0700-\u070d\u07f7-\u07f9\u0830-\u083e\u085e\u0964-\u0965\u0970\u09fd\u0a76\u0af0\u0c84\u0df4\u0e4f\u0e5a-\u0e5b\u0f04-\u0f12\u0f14\u0f85\u0fd0-\u0fd4\u0fd9-\u0fda\u104a-\u104f\u10fb\u1360-\u1368\u166d-\u166e\u16eb-\u16ed\u1735-\u1736\u17d4-\u17d6\u17d8-\u17da\u1800-\u1805\u1807-\u180a\u1944-\u1945\u1a1e-\u1a1f\u1aa0-\u1aa6\u1aa8-\u1aad\u1b5a-\u1b60\u1bfc-\u1bff\u1c3b-\u1c3f\u1c7e-\u1c7f\u1cc0-\u1cc7\u1cd3\u2016-\u2017\u2020-\u2027\u2030-\u2038\u203b-\u203e\u2041-\u2043\u2047-\u2051\u2053\u2055-\u205e\u2cf9-\u2cfc\u2cfe-\u2cff\u2d70\u2e00-\u2e01\u2e06-\u2e08\u2e0b\u2e0e-\u2e16\u2e18-\u2e19\u2e1b\u2e1e-\u2e1f\u2e2a-\u2e2e\u2e30-\u2e39\u2e3c-\u2e3f\u2e41\u2e43-\u2e4e\u3001-\u3003\u303d\u30fb\ua4fe-\ua4ff\ua60d-\ua60f\ua673\ua67e\ua6f2-\ua6f7\ua874-\ua877\ua8ce-\ua8cf\ua8f8-\ua8fa\ua8fc\ua92e-\ua92f\ua95f\ua9c1-\ua9cd\ua9de-\ua9df\uaa5c-\uaa5f\uaade-\uaadf\uaaf0-\uaaf1\uabeb\ufe10-\ufe16\ufe19\ufe30\ufe45-\ufe46\ufe49-\ufe4c\ufe50-\ufe52\ufe54-\ufe57\ufe5f-\ufe61\ufe68\ufe6a-\ufe6b\uff01-\uff03\uff05-\uff07\uff0a\uff0c\uff0e-\uff0f\uff1a-\uff1b\uff1f-\uff20\uff3c\uff61\uff64-\uff65\U00010100-\U00010102\U0001039f\U000103d0\U0001056f\U00010857\U0001091f\U0001093f\U00010a50-\U00010a58\U00010a7f\U00010af0-\U00010af6\U00010b39-\U00010b3f\U00010b99-\U00010b9c\U00010f55-\U00010f59\U00011047-\U0001104d\U000110bb-\U000110bc\U000110be-\U000110c1\U00011140-\U00011143\U00011174-\U00011175\U000111c5-\U000111c8\U000111cd\U000111db\U000111dd-\U000111df\U00011238-\U0001123d\U000112a9\U0001144b-\U0001144f\U0001145b\U0001145d\U000114c6\U000115c1-\U000115d7\U00011641-\U00011643\U00011660-\U0001166c\U0001173c-\U0001173e\U0001183b\U00011a3f-\U00011a46\U00011a9a-\U00011a9c\U00011a9e-\U00011aa2\U00011c41-\U00011c45\U00011c70-\U00011c71\U00011ef7-\U00011ef8\U00012470-\U00012474\U00016a6e-\U00016a6f\U00016af5\U00016b37-\U00016b3b\U00016b44\U00016e97-\U00016e9a\U0001bc9f\U0001da87-\U0001da8b\U0001e95e-\U0001e95f"
-
-Ps = '(\\[{\u0f3a\u0f3c\u169b\u201a\u201e\u2045\u207d\u208d\u2308\u230a\u2329\u2768\u276a\u276c\u276e\u2770\u2772\u2774\u27c5\u27e6\u27e8\u27ea\u27ec\u27ee\u2983\u2985\u2987\u2989\u298b\u298d\u298f\u2991\u2993\u2995\u2997\u29d8\u29da\u29fc\u2e22\u2e24\u2e26\u2e28\u2e42\u3008\u300a\u300c\u300e\u3010\u3014\u3016\u3018\u301a\u301d\ufd3f\ufe17\ufe35\ufe37\ufe39\ufe3b\ufe3d\ufe3f\ufe41\ufe43\ufe47\ufe59\ufe5b\ufe5d\uff08\uff3b\uff5b\uff5f\uff62'
-
-Sc = '$\xa2-\xa5\u058f\u060b\u07fe-\u07ff\u09f2-\u09f3\u09fb\u0af1\u0bf9\u0e3f\u17db\u20a0-\u20bf\ua838\ufdfc\ufe69\uff04\uffe0-\uffe1\uffe5-\uffe6\U0001ecb0'
-
-Sk = '\\^`\xa8\xaf\xb4\xb8\u02c2-\u02c5\u02d2-\u02df\u02e5-\u02eb\u02ed\u02ef-\u02ff\u0375\u0384-\u0385\u1fbd\u1fbf-\u1fc1\u1fcd-\u1fcf\u1fdd-\u1fdf\u1fed-\u1fef\u1ffd-\u1ffe\u309b-\u309c\ua700-\ua716\ua720-\ua721\ua789-\ua78a\uab5b\ufbb2-\ufbc1\uff3e\uff40\uffe3\U0001f3fb-\U0001f3ff'
-
-Sm = '+<->|~\xac\xb1\xd7\xf7\u03f6\u0606-\u0608\u2044\u2052\u207a-\u207c\u208a-\u208c\u2118\u2140-\u2144\u214b\u2190-\u2194\u219a-\u219b\u21a0\u21a3\u21a6\u21ae\u21ce-\u21cf\u21d2\u21d4\u21f4-\u22ff\u2320-\u2321\u237c\u239b-\u23b3\u23dc-\u23e1\u25b7\u25c1\u25f8-\u25ff\u266f\u27c0-\u27c4\u27c7-\u27e5\u27f0-\u27ff\u2900-\u2982\u2999-\u29d7\u29dc-\u29fb\u29fe-\u2aff\u2b30-\u2b44\u2b47-\u2b4c\ufb29\ufe62\ufe64-\ufe66\uff0b\uff1c-\uff1e\uff5c\uff5e\uffe2\uffe9-\uffec\U0001d6c1\U0001d6db\U0001d6fb\U0001d715\U0001d735\U0001d74f\U0001d76f\U0001d789\U0001d7a9\U0001d7c3\U0001eef0-\U0001eef1'
-
-So = '\xa6\xa9\xae\xb0\u0482\u058d-\u058e\u060e-\u060f\u06de\u06e9\u06fd-\u06fe\u07f6\u09fa\u0b70\u0bf3-\u0bf8\u0bfa\u0c7f\u0d4f\u0d79\u0f01-\u0f03\u0f13\u0f15-\u0f17\u0f1a-\u0f1f\u0f34\u0f36\u0f38\u0fbe-\u0fc5\u0fc7-\u0fcc\u0fce-\u0fcf\u0fd5-\u0fd8\u109e-\u109f\u1390-\u1399\u1940\u19de-\u19ff\u1b61-\u1b6a\u1b74-\u1b7c\u2100-\u2101\u2103-\u2106\u2108-\u2109\u2114\u2116-\u2117\u211e-\u2123\u2125\u2127\u2129\u212e\u213a-\u213b\u214a\u214c-\u214d\u214f\u218a-\u218b\u2195-\u2199\u219c-\u219f\u21a1-\u21a2\u21a4-\u21a5\u21a7-\u21ad\u21af-\u21cd\u21d0-\u21d1\u21d3\u21d5-\u21f3\u2300-\u2307\u230c-\u231f\u2322-\u2328\u232b-\u237b\u237d-\u239a\u23b4-\u23db\u23e2-\u2426\u2440-\u244a\u249c-\u24e9\u2500-\u25b6\u25b8-\u25c0\u25c2-\u25f7\u2600-\u266e\u2670-\u2767\u2794-\u27bf\u2800-\u28ff\u2b00-\u2b2f\u2b45-\u2b46\u2b4d-\u2b73\u2b76-\u2b95\u2b98-\u2bc8\u2bca-\u2bfe\u2ce5-\u2cea\u2e80-\u2e99\u2e9b-\u2ef3\u2f00-\u2fd5\u2ff0-\u2ffb\u3004\u3012-\u3013\u3020\u3036-\u3037\u303e-\u303f\u3190-\u3191\u3196-\u319f\u31c0-\u31e3\u3200-\u321e\u322a-\u3247\u3250\u3260-\u327f\u328a-\u32b0\u32c0-\u32fe\u3300-\u33ff\u4dc0-\u4dff\ua490-\ua4c6\ua828-\ua82b\ua836-\ua837\ua839\uaa77-\uaa79\ufdfd\uffe4\uffe8\uffed-\uffee\ufffc-\ufffd\U00010137-\U0001013f\U00010179-\U00010189\U0001018c-\U0001018e\U00010190-\U0001019b\U000101a0\U000101d0-\U000101fc\U00010877-\U00010878\U00010ac8\U0001173f\U00016b3c-\U00016b3f\U00016b45\U0001bc9c\U0001d000-\U0001d0f5\U0001d100-\U0001d126\U0001d129-\U0001d164\U0001d16a-\U0001d16c\U0001d183-\U0001d184\U0001d18c-\U0001d1a9\U0001d1ae-\U0001d1e8\U0001d200-\U0001d241\U0001d245\U0001d300-\U0001d356\U0001d800-\U0001d9ff\U0001da37-\U0001da3a\U0001da6d-\U0001da74\U0001da76-\U0001da83\U0001da85-\U0001da86\U0001ecac\U0001f000-\U0001f02b\U0001f030-\U0001f093\U0001f0a0-\U0001f0ae\U0001f0b1-\U0001f0bf\U0001f0c1-\U0001f0cf\U0001f0d1-\U0001f0f5\U0001f110-\U0001f16b\U0001f170-\U0001f1ac\U0001f1e6-\U0001f202\U0001f210-\U0001f23b\U0001f240-\U0001f248\U0001f250-\U0001f251\U0001f260-\U0001f265\U0001f300-\U0001f3fa\U0001f400-\U0001f6d4\U0001f6e0-\U0001f6ec\U0001f6f0-\U0001f6f9\U0001f700-\U0001f773\U0001f780-\U0001f7d8\U0001f800-\U0001f80b\U0001f810-\U0001f847\U0001f850-\U0001f859\U0001f860-\U0001f887\U0001f890-\U0001f8ad\U0001f900-\U0001f90b\U0001f910-\U0001f93e\U0001f940-\U0001f970\U0001f973-\U0001f976\U0001f97a\U0001f97c-\U0001f9a2\U0001f9b0-\U0001f9b9\U0001f9c0-\U0001f9c2\U0001f9d0-\U0001f9ff\U0001fa60-\U0001fa6d'
-
-Zl = '\u2028'
-
-Zp = '\u2029'
-
-Zs = ' \xa0\u1680\u2000-\u200a\u202f\u205f\u3000'
-
-xid_continue = 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-
-xid_start = 'A-Z_a-z\xaa\xb5\xba\xc0-\xd6\xd8-\xf6\xf8-\u02c1\u02c6-\u02d1\u02e0-\u02e4\u02ec\u02ee\u0370-\u0374\u0376-\u0377\u037b-\u037d\u037f\u0386\u0388-\u038a\u038c\u038e-\u03a1\u03a3-\u03f5\u03f7-\u0481\u048a-\u052f\u0531-\u0556\u0559\u0560-\u0588\u05d0-\u05ea\u05ef-\u05f2\u0620-\u064a\u066e-\u066f\u0671-\u06d3\u06d5\u06e5-\u06e6\u06ee-\u06ef\u06fa-\u06fc\u06ff\u0710\u0712-\u072f\u074d-\u07a5\u07b1\u07ca-\u07ea\u07f4-\u07f5\u07fa\u0800-\u0815\u081a\u0824\u0828\u0840-\u0858\u0860-\u086a\u08a0-\u08b4\u08b6-\u08bd\u0904-\u0939\u093d\u0950\u0958-\u0961\u0971-\u0980\u0985-\u098c\u098f-\u0990\u0993-\u09a8\u09aa-\u09b0\u09b2\u09b6-\u09b9\u09bd\u09ce\u09dc-\u09dd\u09df-\u09e1\u09f0-\u09f1\u09fc\u0a05-\u0a0a\u0a0f-\u0a10\u0a13-\u0a28\u0a2a-\u0a30\u0a32-\u0a33\u0a35-\u0a36\u0a38-\u0a39\u0a59-\u0a5c\u0a5e\u0a72-\u0a74\u0a85-\u0a8d\u0a8f-\u0a91\u0a93-\u0aa8\u0aaa-\u0ab0\u0ab2-\u0ab3\u0ab5-\u0ab9\u0abd\u0ad0\u0ae0-\u0ae1\u0af9\u0b05-\u0b0c\u0b0f-\u0b10\u0b13-\u0b28\u0b2a-\u0b30\u0b32-\u0b33\u0b35-\u0b39\u0b3d\u0b5c-\u0b5d\u0b5f-\u0b61\u0b71\u0b83\u0b85-\u0b8a\u0b8e-\u0b90\u0b92-\u0b95\u0b99-\u0b9a\u0b9c\u0b9e-\u0b9f\u0ba3-\u0ba4\u0ba8-\u0baa\u0bae-\u0bb9\u0bd0\u0c05-\u0c0c\u0c0e-\u0c10\u0c12-\u0c28\u0c2a-\u0c39\u0c3d\u0c58-\u0c5a\u0c60-\u0c61\u0c80\u0c85-\u0c8c\u0c8e-\u0c90\u0c92-\u0ca8\u0caa-\u0cb3\u0cb5-\u0cb9\u0cbd\u0cde\u0ce0-\u0ce1\u0cf1-\u0cf2\u0d05-\u0d0c\u0d0e-\u0d10\u0d12-\u0d3a\u0d3d\u0d4e\u0d54-\u0d56\u0d5f-\u0d61\u0d7a-\u0d7f\u0d85-\u0d96\u0d9a-\u0db1\u0db3-\u0dbb\u0dbd\u0dc0-\u0dc6\u0e01-\u0e30\u0e32\u0e40-\u0e46\u0e81-\u0e82\u0e84\u0e87-\u0e88\u0e8a\u0e8d\u0e94-\u0e97\u0e99-\u0e9f\u0ea1-\u0ea3\u0ea5\u0ea7\u0eaa-\u0eab\u0ead-\u0eb0\u0eb2\u0ebd\u0ec0-\u0ec4\u0ec6\u0edc-\u0edf\u0f00\u0f40-\u0f47\u0f49-\u0f6c\u0f88-\u0f8c\u1000-\u102a\u103f\u1050-\u1055\u105a-\u105d\u1061\u1065-\u1066\u106e-\u1070\u1075-\u1081\u108e\u10a0-\u10c5\u10c7\u10cd\u10d0-\u10fa\u10fc-\u1248\u124a-\u124d\u1250-\u1256\u1258\u125a-\u125d\u1260-\u1288\u128a-\u128d\u1290-\u12b0\u12b2-\u12b5\u12b8-\u12be\u12c0\u12c2-\u12c5\u12c8-\u12d6\u12d8-\u1310\u1312-\u1315\u1318-\u135a\u1380-\u138f\u13a0-\u13f5\u13f8-\u13fd\u1401-\u166c\u166f-\u167f\u1681-\u169a\u16a0-\u16ea\u16ee-\u16f8\u1700-\u170c\u170e-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176c\u176e-\u1770\u1780-\u17b3\u17d7\u17dc\u1820-\u1878\u1880-\u18a8\u18aa\u18b0-\u18f5\u1900-\u191e\u1950-\u196d\u1970-\u1974\u1980-\u19ab\u19b0-\u19c9\u1a00-\u1a16\u1a20-\u1a54\u1aa7\u1b05-\u1b33\u1b45-\u1b4b\u1b83-\u1ba0\u1bae-\u1baf\u1bba-\u1be5\u1c00-\u1c23\u1c4d-\u1c4f\u1c5a-\u1c7d\u1c80-\u1c88\u1c90-\u1cba\u1cbd-\u1cbf\u1ce9-\u1cec\u1cee-\u1cf1\u1cf5-\u1cf6\u1d00-\u1dbf\u1e00-\u1f15\u1f18-\u1f1d\u1f20-\u1f45\u1f48-\u1f4d\u1f50-\u1f57\u1f59\u1f5b\u1f5d\u1f5f-\u1f7d\u1f80-\u1fb4\u1fb6-\u1fbc\u1fbe\u1fc2-\u1fc4\u1fc6-\u1fcc\u1fd0-\u1fd3\u1fd6-\u1fdb\u1fe0-\u1fec\u1ff2-\u1ff4\u1ff6-\u1ffc\u2071\u207f\u2090-\u209c\u2102\u2107\u210a-\u2113\u2115\u2118-\u211d\u2124\u2126\u2128\u212a-\u2139\u213c-\u213f\u2145-\u2149\u214e\u2160-\u2188\u2c00-\u2c2e\u2c30-\u2c5e\u2c60-\u2ce4\u2ceb-\u2cee\u2cf2-\u2cf3\u2d00-\u2d25\u2d27\u2d2d\u2d30-\u2d67\u2d6f\u2d80-\u2d96\u2da0-\u2da6\u2da8-\u2dae\u2db0-\u2db6\u2db8-\u2dbe\u2dc0-\u2dc6\u2dc8-\u2dce\u2dd0-\u2dd6\u2dd8-\u2dde\u3005-\u3007\u3021-\u3029\u3031-\u3035\u3038-\u303c\u3041-\u3096\u309d-\u309f\u30a1-\u30fa\u30fc-\u30ff\u3105-\u312f\u3131-\u318e\u31a0-\u31ba\u31f0-\u31ff\u3400-\u4db5\u4e00-\u9fef\ua000-\ua48c\ua4d0-\ua4fd\ua500-\ua60c\ua610-\ua61f\ua62a-\ua62b\ua640-\ua66e\ua67f-\ua69d\ua6a0-\ua6ef\ua717-\ua71f\ua722-\ua788\ua78b-\ua7b9\ua7f7-\ua801\ua803-\ua805\ua807-\ua80a\ua80c-\ua822\ua840-\ua873\ua882-\ua8b3\ua8f2-\ua8f7\ua8fb\ua8fd-\ua8fe\ua90a-\ua925\ua930-\ua946\ua960-\ua97c\ua984-\ua9b2\ua9cf\ua9e0-\ua9e4\ua9e6-\ua9ef\ua9fa-\ua9fe\uaa00-\uaa28\uaa40-\uaa42\uaa44-\uaa4b\uaa60-\uaa76\uaa7a\uaa7e-\uaaaf\uaab1\uaab5-\uaab6\uaab9-\uaabd\uaac0\uaac2\uaadb-\uaadd\uaae0-\uaaea\uaaf2-\uaaf4\uab01-\uab06\uab09-\uab0e\uab11-\uab16\uab20-\uab26\uab28-\uab2e\uab30-\uab5a\uab5c-\uab65\uab70-\uabe2\uac00-\ud7a3\ud7b0-\ud7c6\ud7cb-\ud7fb\uf900-\ufa6d\ufa70-\ufad9\ufb00-\ufb06\ufb13-\ufb17\ufb1d\ufb1f-\ufb28\ufb2a-\ufb36\ufb38-\ufb3c\ufb3e\ufb40-\ufb41\ufb43-\ufb44\ufb46-\ufbb1\ufbd3-\ufc5d\ufc64-\ufd3d\ufd50-\ufd8f\ufd92-\ufdc7\ufdf0-\ufdf9\ufe71\ufe73\ufe77\ufe79\ufe7b\ufe7d\ufe7f-\ufefc\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d\uffa0-\uffbe\uffc2-\uffc7\uffca-\uffcf\uffd2-\uffd7\uffda-\uffdc\U00010000-\U0001000b\U0001000d-\U00010026\U00010028-\U0001003a\U0001003c-\U0001003d\U0001003f-\U0001004d\U00010050-\U0001005d\U00010080-\U000100fa\U00010140-\U00010174\U00010280-\U0001029c\U000102a0-\U000102d0\U00010300-\U0001031f\U0001032d-\U0001034a\U00010350-\U00010375\U00010380-\U0001039d\U000103a0-\U000103c3\U000103c8-\U000103cf\U000103d1-\U000103d5\U00010400-\U0001049d\U000104b0-\U000104d3\U000104d8-\U000104fb\U00010500-\U00010527\U00010530-\U00010563\U00010600-\U00010736\U00010740-\U00010755\U00010760-\U00010767\U00010800-\U00010805\U00010808\U0001080a-\U00010835\U00010837-\U00010838\U0001083c\U0001083f-\U00010855\U00010860-\U00010876\U00010880-\U0001089e\U000108e0-\U000108f2\U000108f4-\U000108f5\U00010900-\U00010915\U00010920-\U00010939\U00010980-\U000109b7\U000109be-\U000109bf\U00010a00\U00010a10-\U00010a13\U00010a15-\U00010a17\U00010a19-\U00010a35\U00010a60-\U00010a7c\U00010a80-\U00010a9c\U00010ac0-\U00010ac7\U00010ac9-\U00010ae4\U00010b00-\U00010b35\U00010b40-\U00010b55\U00010b60-\U00010b72\U00010b80-\U00010b91\U00010c00-\U00010c48\U00010c80-\U00010cb2\U00010cc0-\U00010cf2\U00010d00-\U00010d23\U00010f00-\U00010f1c\U00010f27\U00010f30-\U00010f45\U00011003-\U00011037\U00011083-\U000110af\U000110d0-\U000110e8\U00011103-\U00011126\U00011144\U00011150-\U00011172\U00011176\U00011183-\U000111b2\U000111c1-\U000111c4\U000111da\U000111dc\U00011200-\U00011211\U00011213-\U0001122b\U00011280-\U00011286\U00011288\U0001128a-\U0001128d\U0001128f-\U0001129d\U0001129f-\U000112a8\U000112b0-\U000112de\U00011305-\U0001130c\U0001130f-\U00011310\U00011313-\U00011328\U0001132a-\U00011330\U00011332-\U00011333\U00011335-\U00011339\U0001133d\U00011350\U0001135d-\U00011361\U00011400-\U00011434\U00011447-\U0001144a\U00011480-\U000114af\U000114c4-\U000114c5\U000114c7\U00011580-\U000115ae\U000115d8-\U000115db\U00011600-\U0001162f\U00011644\U00011680-\U000116aa\U00011700-\U0001171a\U00011800-\U0001182b\U000118a0-\U000118df\U000118ff\U00011a00\U00011a0b-\U00011a32\U00011a3a\U00011a50\U00011a5c-\U00011a83\U00011a86-\U00011a89\U00011a9d\U00011ac0-\U00011af8\U00011c00-\U00011c08\U00011c0a-\U00011c2e\U00011c40\U00011c72-\U00011c8f\U00011d00-\U00011d06\U00011d08-\U00011d09\U00011d0b-\U00011d30\U00011d46\U00011d60-\U00011d65\U00011d67-\U00011d68\U00011d6a-\U00011d89\U00011d98\U00011ee0-\U00011ef2\U00012000-\U00012399\U00012400-\U0001246e\U00012480-\U00012543\U00013000-\U0001342e\U00014400-\U00014646\U00016800-\U00016a38\U00016a40-\U00016a5e\U00016ad0-\U00016aed\U00016b00-\U00016b2f\U00016b40-\U00016b43\U00016b63-\U00016b77\U00016b7d-\U00016b8f\U00016e40-\U00016e7f\U00016f00-\U00016f44\U00016f50\U00016f93-\U00016f9f\U00016fe0-\U00016fe1\U00017000-\U000187f1\U00018800-\U00018af2\U0001b000-\U0001b11e\U0001b170-\U0001b2fb\U0001bc00-\U0001bc6a\U0001bc70-\U0001bc7c\U0001bc80-\U0001bc88\U0001bc90-\U0001bc99\U0001d400-\U0001d454\U0001d456-\U0001d49c\U0001d49e-\U0001d49f\U0001d4a2\U0001d4a5-\U0001d4a6\U0001d4a9-\U0001d4ac\U0001d4ae-\U0001d4b9\U0001d4bb\U0001d4bd-\U0001d4c3\U0001d4c5-\U0001d505\U0001d507-\U0001d50a\U0001d50d-\U0001d514\U0001d516-\U0001d51c\U0001d51e-\U0001d539\U0001d53b-\U0001d53e\U0001d540-\U0001d544\U0001d546\U0001d54a-\U0001d550\U0001d552-\U0001d6a5\U0001d6a8-\U0001d6c0\U0001d6c2-\U0001d6da\U0001d6dc-\U0001d6fa\U0001d6fc-\U0001d714\U0001d716-\U0001d734\U0001d736-\U0001d74e\U0001d750-\U0001d76e\U0001d770-\U0001d788\U0001d78a-\U0001d7a8\U0001d7aa-\U0001d7c2\U0001d7c4-\U0001d7cb\U0001e800-\U0001e8c4\U0001e900-\U0001e943\U0001ee00-\U0001ee03\U0001ee05-\U0001ee1f\U0001ee21-\U0001ee22\U0001ee24\U0001ee27\U0001ee29-\U0001ee32\U0001ee34-\U0001ee37\U0001ee39\U0001ee3b\U0001ee42\U0001ee47\U0001ee49\U0001ee4b\U0001ee4d-\U0001ee4f\U0001ee51-\U0001ee52\U0001ee54\U0001ee57\U0001ee59\U0001ee5b\U0001ee5d\U0001ee5f\U0001ee61-\U0001ee62\U0001ee64\U0001ee67-\U0001ee6a\U0001ee6c-\U0001ee72\U0001ee74-\U0001ee77\U0001ee79-\U0001ee7c\U0001ee7e\U0001ee80-\U0001ee89\U0001ee8b-\U0001ee9b\U0001eea1-\U0001eea3\U0001eea5-\U0001eea9\U0001eeab-\U0001eebb\U00020000-\U0002a6d6\U0002a700-\U0002b734\U0002b740-\U0002b81d\U0002b820-\U0002cea1\U0002ceb0-\U0002ebe0\U0002f800-\U0002fa1d'
-
-cats = ['Cc', 'Cf', 'Cn', 'Co', 'Cs', 'Ll', 'Lm', 'Lo', 'Lt', 'Lu', 'Mc', 'Me', 'Mn', 'Nd', 'Nl', 'No', 'Pc', 'Pd', 'Pe', 'Pf', 'Pi', 'Po', 'Ps', 'Sc', 'Sk', 'Sm', 'So', 'Zl', 'Zp', 'Zs']
-
-# Generated from unidata 11.0.0
-
-def combine(*args):
-    return ''.join(globals()[cat] for cat in args)
-
-
-def allexcept(*args):
-    newcats = cats[:]
-    for arg in args:
-        newcats.remove(arg)
-    return ''.join(globals()[cat] for cat in newcats)
-
-
-def _handle_runs(char_list):  # pragma: no cover
-    buf = []
-    for c in char_list:
-        if len(c) == 1:
-            if buf and buf[-1][1] == chr(ord(c)-1):
-                buf[-1] = (buf[-1][0], c)
-            else:
-                buf.append((c, c))
-        else:
-            buf.append((c, c))
-    for a, b in buf:
-        if a == b:
-            yield a
-        else:
-            yield '%s-%s' % (a, b)
-
-
-if __name__ == '__main__':  # pragma: no cover
-    import unicodedata
-
-    categories = {'xid_start': [], 'xid_continue': []}
-
-    with open(__file__) as fp:
-        content = fp.read()
-
-    header = content[:content.find('Cc =')]
-    footer = content[content.find("def combine("):]
-
-    for code in range(0x110000):
-        c = chr(code)
-        cat = unicodedata.category(c)
-        if ord(c) == 0xdc00:
-            # Hack to avoid combining this combining with the preceding high
-            # surrogate, 0xdbff, when doing a repr.
-            c = '\\' + c
-        elif ord(c) in (0x2d, 0x5b, 0x5c, 0x5d, 0x5e):
-            # Escape regex metachars.
-            c = '\\' + c
-        categories.setdefault(cat, []).append(c)
-        # XID_START and XID_CONTINUE are special categories used for matching
-        # identifiers in Python 3.
-        if c.isidentifier():
-            categories['xid_start'].append(c)
-        if ('a' + c).isidentifier():
-            categories['xid_continue'].append(c)
-
-    with open(__file__, 'w') as fp:
-        fp.write(header)
-
-        for cat in sorted(categories):
-            val = ''.join(_handle_runs(categories[cat]))
-            fp.write('%s = %a\n\n' % (cat, val))
-
-        cats = sorted(categories)
-        cats.remove('xid_start')
-        cats.remove('xid_continue')
-        fp.write('cats = %r\n\n' % cats)
-
-        fp.write('# Generated from unidata %s\n\n' % (unicodedata.unidata_version,))
-
-        fp.write(footer)

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

@@ -1,885 +0,0 @@
-from __future__ import absolute_import
-
-import io
-import logging
-import sys
-import warnings
-import zlib
-from contextlib import contextmanager
-from socket import error as SocketError
-from socket import timeout as SocketTimeout
-
-try:
-    try:
-        import brotlicffi as brotli
-    except ImportError:
-        import brotli
-except ImportError:
-    brotli = None
-
-from . import util
-from ._collections import HTTPHeaderDict
-from .connection import BaseSSLError, HTTPException
-from .exceptions import (
-    BodyNotHttplibCompatible,
-    DecodeError,
-    HTTPError,
-    IncompleteRead,
-    InvalidChunkLength,
-    InvalidHeader,
-    ProtocolError,
-    ReadTimeoutError,
-    ResponseNotChunked,
-    SSLError,
-)
-from .packages import six
-from .util.response import is_fp_closed, is_response_to_head
-
-log = logging.getLogger(__name__)
-
-
-class DeflateDecoder(object):
-    def __init__(self):
-        self._first_try = True
-        self._data = b""
-        self._obj = zlib.decompressobj()
-
-    def __getattr__(self, name):
-        return getattr(self._obj, name)
-
-    def decompress(self, data):
-        if not data:
-            return data
-
-        if not self._first_try:
-            return self._obj.decompress(data)
-
-        self._data += data
-        try:
-            decompressed = self._obj.decompress(data)
-            if decompressed:
-                self._first_try = False
-                self._data = None
-            return decompressed
-        except zlib.error:
-            self._first_try = False
-            self._obj = zlib.decompressobj(-zlib.MAX_WBITS)
-            try:
-                return self.decompress(self._data)
-            finally:
-                self._data = None
-
-
-class GzipDecoderState(object):
-
-    FIRST_MEMBER = 0
-    OTHER_MEMBERS = 1
-    SWALLOW_DATA = 2
-
-
-class GzipDecoder(object):
-    def __init__(self):
-        self._obj = zlib.decompressobj(16 + zlib.MAX_WBITS)
-        self._state = GzipDecoderState.FIRST_MEMBER
-
-    def __getattr__(self, name):
-        return getattr(self._obj, name)
-
-    def decompress(self, data):
-        ret = bytearray()
-        if self._state == GzipDecoderState.SWALLOW_DATA or not data:
-            return bytes(ret)
-        while True:
-            try:
-                ret += self._obj.decompress(data)
-            except zlib.error:
-                previous_state = self._state
-                # Ignore data after the first error
-                self._state = GzipDecoderState.SWALLOW_DATA
-                if previous_state == GzipDecoderState.OTHER_MEMBERS:
-                    # Allow trailing garbage acceptable in other gzip clients
-                    return bytes(ret)
-                raise
-            data = self._obj.unused_data
-            if not data:
-                return bytes(ret)
-            self._state = GzipDecoderState.OTHER_MEMBERS
-            self._obj = zlib.decompressobj(16 + zlib.MAX_WBITS)
-
-
-if brotli is not None:
-
-    class BrotliDecoder(object):
-        # Supports both 'brotlipy' and 'Brotli' packages
-        # since they share an import name. The top branches
-        # are for 'brotlipy' and bottom branches for 'Brotli'
-        def __init__(self):
-            self._obj = brotli.Decompressor()
-            if hasattr(self._obj, "decompress"):
-                self.decompress = self._obj.decompress
-            else:
-                self.decompress = self._obj.process
-
-        def flush(self):
-            if hasattr(self._obj, "flush"):
-                return self._obj.flush()
-            return b""
-
-
-class MultiDecoder(object):
-    """
-    From RFC7231:
-        If one or more encodings have been applied to a representation, the
-        sender that applied the encodings MUST generate a Content-Encoding
-        header field that lists the content codings in the order in which
-        they were applied.
-    """
-
-    def __init__(self, modes):
-        self._decoders = [_get_decoder(m.strip()) for m in modes.split(",")]
-
-    def flush(self):
-        return self._decoders[0].flush()
-
-    def decompress(self, data):
-        for d in reversed(self._decoders):
-            data = d.decompress(data)
-        return data
-
-
-def _get_decoder(mode):
-    if "," in mode:
-        return MultiDecoder(mode)
-
-    if mode == "gzip":
-        return GzipDecoder()
-
-    if brotli is not None and mode == "br":
-        return BrotliDecoder()
-
-    return DeflateDecoder()
-
-
-class HTTPResponse(io.IOBase):
-    """
-    HTTP Response container.
-
-    Backwards-compatible with :class:`http.client.HTTPResponse` but the response ``body`` is
-    loaded and decoded on-demand when the ``data`` property is accessed.  This
-    class is also compatible with the Python standard library's :mod:`io`
-    module, and can hence be treated as a readable object in the context of that
-    framework.
-
-    Extra parameters for behaviour not present in :class:`http.client.HTTPResponse`:
-
-    :param preload_content:
-        If True, the response's body will be preloaded during construction.
-
-    :param decode_content:
-        If True, will attempt to decode the body based on the
-        'content-encoding' header.
-
-    :param original_response:
-        When this HTTPResponse wrapper is generated from an :class:`http.client.HTTPResponse`
-        object, it's convenient to include the original for debug purposes. It's
-        otherwise unused.
-
-    :param retries:
-        The retries contains the last :class:`~urllib3.util.retry.Retry` that
-        was used during the request.
-
-    :param enforce_content_length:
-        Enforce content length checking. Body returned by server must match
-        value of Content-Length header, if present. Otherwise, raise error.
-    """
-
-    CONTENT_DECODERS = ["gzip", "deflate"]
-    if brotli is not None:
-        CONTENT_DECODERS += ["br"]
-    REDIRECT_STATUSES = [301, 302, 303, 307, 308]
-
-    def __init__(
-        self,
-        body="",
-        headers=None,
-        status=0,
-        version=0,
-        reason=None,
-        strict=0,
-        preload_content=True,
-        decode_content=True,
-        original_response=None,
-        pool=None,
-        connection=None,
-        msg=None,
-        retries=None,
-        enforce_content_length=False,
-        request_method=None,
-        request_url=None,
-        auto_close=True,
-    ):
-
-        if isinstance(headers, HTTPHeaderDict):
-            self.headers = headers
-        else:
-            self.headers = HTTPHeaderDict(headers)
-        self.status = status
-        self.version = version
-        self.reason = reason
-        self.strict = strict
-        self.decode_content = decode_content
-        self.retries = retries
-        self.enforce_content_length = enforce_content_length
-        self.auto_close = auto_close
-
-        self._decoder = None
-        self._body = None
-        self._fp = None
-        self._original_response = original_response
-        self._fp_bytes_read = 0
-        self.msg = msg
-        self._request_url = request_url
-
-        if body and isinstance(body, (six.string_types, bytes)):
-            self._body = body
-
-        self._pool = pool
-        self._connection = connection
-
-        if hasattr(body, "read"):
-            self._fp = body
-
-        # Are we using the chunked-style of transfer encoding?
-        self.chunked = False
-        self.chunk_left = None
-        tr_enc = self.headers.get("transfer-encoding", "").lower()
-        # Don't incur the penalty of creating a list and then discarding it
-        encodings = (enc.strip() for enc in tr_enc.split(","))
-        if "chunked" in encodings:
-            self.chunked = True
-
-        # Determine length of response
-        self.length_remaining = self._init_length(request_method)
-
-        # If requested, preload the body.
-        if preload_content and not self._body:
-            self._body = self.read(decode_content=decode_content)
-
-    def get_redirect_location(self):
-        """
-        Should we redirect and where to?
-
-        :returns: Truthy redirect location string if we got a redirect status
-            code and valid location. ``None`` if redirect status and no
-            location. ``False`` if not a redirect status code.
-        """
-        if self.status in self.REDIRECT_STATUSES:
-            return self.headers.get("location")
-
-        return False
-
-    def release_conn(self):
-        if not self._pool or not self._connection:
-            return
-
-        self._pool._put_conn(self._connection)
-        self._connection = None
-
-    def drain_conn(self):
-        """
-        Read and discard any remaining HTTP response data in the response connection.
-
-        Unread data in the HTTPResponse connection blocks the connection from being released back to the pool.
-        """
-        try:
-            self.read()
-        except (HTTPError, SocketError, BaseSSLError, HTTPException):
-            pass
-
-    @property
-    def data(self):
-        # For backwards-compat with earlier urllib3 0.4 and earlier.
-        if self._body:
-            return self._body
-
-        if self._fp:
-            return self.read(cache_content=True)
-
-    @property
-    def connection(self):
-        return self._connection
-
-    def isclosed(self):
-        return is_fp_closed(self._fp)
-
-    def tell(self):
-        """
-        Obtain the number of bytes pulled over the wire so far. May differ from
-        the amount of content returned by :meth:``urllib3.response.HTTPResponse.read``
-        if bytes are encoded on the wire (e.g, compressed).
-        """
-        return self._fp_bytes_read
-
-    def _init_length(self, request_method):
-        """
-        Set initial length value for Response content if available.
-        """
-        length = self.headers.get("content-length")
-
-        if length is not None:
-            if self.chunked:
-                # This Response will fail with an IncompleteRead if it can't be
-                # received as chunked. This method falls back to attempt reading
-                # the response before raising an exception.
-                log.warning(
-                    "Received response with both Content-Length and "
-                    "Transfer-Encoding set. This is expressly forbidden "
-                    "by RFC 7230 sec 3.3.2. Ignoring Content-Length and "
-                    "attempting to process response as Transfer-Encoding: "
-                    "chunked."
-                )
-                return None
-
-            try:
-                # RFC 7230 section 3.3.2 specifies multiple content lengths can
-                # be sent in a single Content-Length header
-                # (e.g. Content-Length: 42, 42). This line ensures the values
-                # are all valid ints and that as long as the `set` length is 1,
-                # all values are the same. Otherwise, the header is invalid.
-                lengths = set([int(val) for val in length.split(",")])
-                if len(lengths) > 1:
-                    raise InvalidHeader(
-                        "Content-Length contained multiple "
-                        "unmatching values (%s)" % length
-                    )
-                length = lengths.pop()
-            except ValueError:
-                length = None
-            else:
-                if length < 0:
-                    length = None
-
-        # Convert status to int for comparison
-        # In some cases, httplib returns a status of "_UNKNOWN"
-        try:
-            status = int(self.status)
-        except ValueError:
-            status = 0
-
-        # Check for responses that shouldn't include a body
-        if status in (204, 304) or 100 <= status < 200 or request_method == "HEAD":
-            length = 0
-
-        return length
-
-    def _init_decoder(self):
-        """
-        Set-up the _decoder attribute if necessary.
-        """
-        # Note: content-encoding value should be case-insensitive, per RFC 7230
-        # Section 3.2
-        content_encoding = self.headers.get("content-encoding", "").lower()
-        if self._decoder is None:
-            if content_encoding in self.CONTENT_DECODERS:
-                self._decoder = _get_decoder(content_encoding)
-            elif "," in content_encoding:
-                encodings = [
-                    e.strip()
-                    for e in content_encoding.split(",")
-                    if e.strip() in self.CONTENT_DECODERS
-                ]
-                if len(encodings):
-                    self._decoder = _get_decoder(content_encoding)
-
-    DECODER_ERROR_CLASSES = (IOError, zlib.error)
-    if brotli is not None:
-        DECODER_ERROR_CLASSES += (brotli.error,)
-
-    def _decode(self, data, decode_content, flush_decoder):
-        """
-        Decode the data passed in and potentially flush the decoder.
-        """
-        if not decode_content:
-            return data
-
-        try:
-            if self._decoder:
-                data = self._decoder.decompress(data)
-        except self.DECODER_ERROR_CLASSES as e:
-            content_encoding = self.headers.get("content-encoding", "").lower()
-            raise DecodeError(
-                "Received response with content-encoding: %s, but "
-                "failed to decode it." % content_encoding,
-                e,
-            )
-        if flush_decoder:
-            data += self._flush_decoder()
-
-        return data
-
-    def _flush_decoder(self):
-        """
-        Flushes the decoder. Should only be called if the decoder is actually
-        being used.
-        """
-        if self._decoder:
-            buf = self._decoder.decompress(b"")
-            return buf + self._decoder.flush()
-
-        return b""
-
-    @contextmanager
-    def _error_catcher(self):
-        """
-        Catch low-level python exceptions, instead re-raising urllib3
-        variants, so that low-level exceptions are not leaked in the
-        high-level api.
-
-        On exit, release the connection back to the pool.
-        """
-        clean_exit = False
-
-        try:
-            try:
-                yield
-
-            except SocketTimeout:
-                # FIXME: Ideally we'd like to include the url in the ReadTimeoutError but
-                # there is yet no clean way to get at it from this context.
-                raise ReadTimeoutError(self._pool, None, "Read timed out.")
-
-            except BaseSSLError as e:
-                # FIXME: Is there a better way to differentiate between SSLErrors?
-                if "read operation timed out" not in str(e):
-                    # SSL errors related to framing/MAC get wrapped and reraised here
-                    raise SSLError(e)
-
-                raise ReadTimeoutError(self._pool, None, "Read timed out.")
-
-            except (HTTPException, SocketError) as e:
-                # This includes IncompleteRead.
-                raise ProtocolError("Connection broken: %r" % e, e)
-
-            # If no exception is thrown, we should avoid cleaning up
-            # unnecessarily.
-            clean_exit = True
-        finally:
-            # If we didn't terminate cleanly, we need to throw away our
-            # connection.
-            if not clean_exit:
-                # The response may not be closed but we're not going to use it
-                # anymore so close it now to ensure that the connection is
-                # released back to the pool.
-                if self._original_response:
-                    self._original_response.close()
-
-                # Closing the response may not actually be sufficient to close
-                # everything, so if we have a hold of the connection close that
-                # too.
-                if self._connection:
-                    self._connection.close()
-
-            # If we hold the original response but it's closed now, we should
-            # return the connection back to the pool.
-            if self._original_response and self._original_response.isclosed():
-                self.release_conn()
-
-    def _fp_read(self, amt):
-        """
-        Read a response with the thought that reading the number of bytes
-        larger than can fit in a 32-bit int at a time via SSL in some
-        known cases leads to an overflow error that has to be prevented
-        if `amt` or `self.length_remaining` indicate that a problem may
-        happen.
-
-        The known cases:
-          * 3.8 <= CPython < 3.9.7 because of a bug
-            https://github.com/urllib3/urllib3/issues/2513#issuecomment-1152559900.
-          * urllib3 injected with pyOpenSSL-backed SSL-support.
-          * CPython < 3.10 only when `amt` does not fit 32-bit int.
-        """
-        assert self._fp
-        c_int_max = 2 ** 31 - 1
-        if (
-            (
-                (amt and amt > c_int_max)
-                or (self.length_remaining and self.length_remaining > c_int_max)
-            )
-            and not util.IS_SECURETRANSPORT
-            and (util.IS_PYOPENSSL or sys.version_info < (3, 10))
-        ):
-            buffer = io.BytesIO()
-            # Besides `max_chunk_amt` being a maximum chunk size, it
-            # affects memory overhead of reading a response by this
-            # method in CPython.
-            # `c_int_max` equal to 2 GiB - 1 byte is the actual maximum
-            # chunk size that does not lead to an overflow error, but
-            # 256 MiB is a compromise.
-            max_chunk_amt = 2 ** 28
-            while amt is None or amt != 0:
-                if amt is not None:
-                    chunk_amt = min(amt, max_chunk_amt)
-                    amt -= chunk_amt
-                else:
-                    chunk_amt = max_chunk_amt
-                data = self._fp.read(chunk_amt)
-                if not data:
-                    break
-                buffer.write(data)
-                del data  # to reduce peak memory usage by `max_chunk_amt`.
-            return buffer.getvalue()
-        else:
-            # StringIO doesn't like amt=None
-            return self._fp.read(amt) if amt is not None else self._fp.read()
-
-    def read(self, amt=None, decode_content=None, cache_content=False):
-        """
-        Similar to :meth:`http.client.HTTPResponse.read`, but with two additional
-        parameters: ``decode_content`` and ``cache_content``.
-
-        :param amt:
-            How much of the content to read. If specified, caching is skipped
-            because it doesn't make sense to cache partial content as the full
-            response.
-
-        :param decode_content:
-            If True, will attempt to decode the body based on the
-            'content-encoding' header.
-
-        :param cache_content:
-            If True, will save the returned data such that the same result is
-            returned despite of the state of the underlying file object. This
-            is useful if you want the ``.data`` property to continue working
-            after having ``.read()`` the file object. (Overridden if ``amt`` is
-            set.)
-        """
-        self._init_decoder()
-        if decode_content is None:
-            decode_content = self.decode_content
-
-        if self._fp is None:
-            return
-
-        flush_decoder = False
-        fp_closed = getattr(self._fp, "closed", False)
-
-        with self._error_catcher():
-            data = self._fp_read(amt) if not fp_closed else b""
-            if amt is None:
-                flush_decoder = True
-            else:
-                cache_content = False
-                if (
-                    amt != 0 and not data
-                ):  # Platform-specific: Buggy versions of Python.
-                    # Close the connection when no data is returned
-                    #
-                    # This is redundant to what httplib/http.client _should_
-                    # already do.  However, versions of python released before
-                    # December 15, 2012 (http://bugs.python.org/issue16298) do
-                    # not properly close the connection in all cases. There is
-                    # no harm in redundantly calling close.
-                    self._fp.close()
-                    flush_decoder = True
-                    if self.enforce_content_length and self.length_remaining not in (
-                        0,
-                        None,
-                    ):
-                        # This is an edge case that httplib failed to cover due
-                        # to concerns of backward compatibility. We're
-                        # addressing it here to make sure IncompleteRead is
-                        # raised during streaming, so all calls with incorrect
-                        # Content-Length are caught.
-                        raise IncompleteRead(self._fp_bytes_read, self.length_remaining)
-
-        if data:
-            self._fp_bytes_read += len(data)
-            if self.length_remaining is not None:
-                self.length_remaining -= len(data)
-
-            data = self._decode(data, decode_content, flush_decoder)
-
-            if cache_content:
-                self._body = data
-
-        return data
-
-    def stream(self, amt=2 ** 16, decode_content=None):
-        """
-        A generator wrapper for the read() method. A call will block until
-        ``amt`` bytes have been read from the connection or until the
-        connection is closed.
-
-        :param amt:
-            How much of the content to read. The generator will return up to
-            much data per iteration, but may return less. This is particularly
-            likely when using compressed data. However, the empty string will
-            never be returned.
-
-        :param decode_content:
-            If True, will attempt to decode the body based on the
-            'content-encoding' header.
-        """
-        if self.chunked and self.supports_chunked_reads():
-            for line in self.read_chunked(amt, decode_content=decode_content):
-                yield line
-        else:
-            while not is_fp_closed(self._fp):
-                data = self.read(amt=amt, decode_content=decode_content)
-
-                if data:
-                    yield data
-
-    @classmethod
-    def from_httplib(ResponseCls, r, **response_kw):
-        """
-        Given an :class:`http.client.HTTPResponse` instance ``r``, return a
-        corresponding :class:`urllib3.response.HTTPResponse` object.
-
-        Remaining parameters are passed to the HTTPResponse constructor, along
-        with ``original_response=r``.
-        """
-        headers = r.msg
-
-        if not isinstance(headers, HTTPHeaderDict):
-            if six.PY2:
-                # Python 2.7
-                headers = HTTPHeaderDict.from_httplib(headers)
-            else:
-                headers = HTTPHeaderDict(headers.items())
-
-        # HTTPResponse objects in Python 3 don't have a .strict attribute
-        strict = getattr(r, "strict", 0)
-        resp = ResponseCls(
-            body=r,
-            headers=headers,
-            status=r.status,
-            version=r.version,
-            reason=r.reason,
-            strict=strict,
-            original_response=r,
-            **response_kw
-        )
-        return resp
-
-    # Backwards-compatibility methods for http.client.HTTPResponse
-    def getheaders(self):
-        warnings.warn(
-            "HTTPResponse.getheaders() is deprecated and will be removed "
-            "in urllib3 v2.1.0. Instead access HTTPResponse.headers directly.",
-            category=DeprecationWarning,
-            stacklevel=2,
-        )
-        return self.headers
-
-    def getheader(self, name, default=None):
-        warnings.warn(
-            "HTTPResponse.getheader() is deprecated and will be removed "
-            "in urllib3 v2.1.0. Instead use HTTPResponse.headers.get(name, default).",
-            category=DeprecationWarning,
-            stacklevel=2,
-        )
-        return self.headers.get(name, default)
-
-    # Backwards compatibility for http.cookiejar
-    def info(self):
-        return self.headers
-
-    # Overrides from io.IOBase
-    def close(self):
-        if not self.closed:
-            self._fp.close()
-
-        if self._connection:
-            self._connection.close()
-
-        if not self.auto_close:
-            io.IOBase.close(self)
-
-    @property
-    def closed(self):
-        if not self.auto_close:
-            return io.IOBase.closed.__get__(self)
-        elif self._fp is None:
-            return True
-        elif hasattr(self._fp, "isclosed"):
-            return self._fp.isclosed()
-        elif hasattr(self._fp, "closed"):
-            return self._fp.closed
-        else:
-            return True
-
-    def fileno(self):
-        if self._fp is None:
-            raise IOError("HTTPResponse has no file to get a fileno from")
-        elif hasattr(self._fp, "fileno"):
-            return self._fp.fileno()
-        else:
-            raise IOError(
-                "The file-like object this HTTPResponse is wrapped "
-                "around has no file descriptor"
-            )
-
-    def flush(self):
-        if (
-            self._fp is not None
-            and hasattr(self._fp, "flush")
-            and not getattr(self._fp, "closed", False)
-        ):
-            return self._fp.flush()
-
-    def readable(self):
-        # This method is required for `io` module compatibility.
-        return True
-
-    def readinto(self, b):
-        # This method is required for `io` module compatibility.
-        temp = self.read(len(b))
-        if len(temp) == 0:
-            return 0
-        else:
-            b[: len(temp)] = temp
-            return len(temp)
-
-    def supports_chunked_reads(self):
-        """
-        Checks if the underlying file-like object looks like a
-        :class:`http.client.HTTPResponse` object. We do this by testing for
-        the fp attribute. If it is present we assume it returns raw chunks as
-        processed by read_chunked().
-        """
-        return hasattr(self._fp, "fp")
-
-    def _update_chunk_length(self):
-        # First, we'll figure out length of a chunk and then
-        # we'll try to read it from socket.
-        if self.chunk_left is not None:
-            return
-        line = self._fp.fp.readline()
-        line = line.split(b";", 1)[0]
-        try:
-            self.chunk_left = int(line, 16)
-        except ValueError:
-            # Invalid chunked protocol response, abort.
-            self.close()
-            raise InvalidChunkLength(self, line)
-
-    def _handle_chunk(self, amt):
-        returned_chunk = None
-        if amt is None:
-            chunk = self._fp._safe_read(self.chunk_left)
-            returned_chunk = chunk
-            self._fp._safe_read(2)  # Toss the CRLF at the end of the chunk.
-            self.chunk_left = None
-        elif amt < self.chunk_left:
-            value = self._fp._safe_read(amt)
-            self.chunk_left = self.chunk_left - amt
-            returned_chunk = value
-        elif amt == self.chunk_left:
-            value = self._fp._safe_read(amt)
-            self._fp._safe_read(2)  # Toss the CRLF at the end of the chunk.
-            self.chunk_left = None
-            returned_chunk = value
-        else:  # amt > self.chunk_left
-            returned_chunk = self._fp._safe_read(self.chunk_left)
-            self._fp._safe_read(2)  # Toss the CRLF at the end of the chunk.
-            self.chunk_left = None
-        return returned_chunk
-
-    def read_chunked(self, amt=None, decode_content=None):
-        """
-        Similar to :meth:`HTTPResponse.read`, but with an additional
-        parameter: ``decode_content``.
-
-        :param amt:
-            How much of the content to read. If specified, caching is skipped
-            because it doesn't make sense to cache partial content as the full
-            response.
-
-        :param decode_content:
-            If True, will attempt to decode the body based on the
-            'content-encoding' header.
-        """
-        self._init_decoder()
-        # FIXME: Rewrite this method and make it a class with a better structured logic.
-        if not self.chunked:
-            raise ResponseNotChunked(
-                "Response is not chunked. "
-                "Header 'transfer-encoding: chunked' is missing."
-            )
-        if not self.supports_chunked_reads():
-            raise BodyNotHttplibCompatible(
-                "Body should be http.client.HTTPResponse like. "
-                "It should have have an fp attribute which returns raw chunks."
-            )
-
-        with self._error_catcher():
-            # Don't bother reading the body of a HEAD request.
-            if self._original_response and is_response_to_head(self._original_response):
-                self._original_response.close()
-                return
-
-            # If a response is already read and closed
-            # then return immediately.
-            if self._fp.fp is None:
-                return
-
-            while True:
-                self._update_chunk_length()
-                if self.chunk_left == 0:
-                    break
-                chunk = self._handle_chunk(amt)
-                decoded = self._decode(
-                    chunk, decode_content=decode_content, flush_decoder=False
-                )
-                if decoded:
-                    yield decoded
-
-            if decode_content:
-                # On CPython and PyPy, we should never need to flush the
-                # decoder. However, on Jython we *might* need to, so
-                # lets defensively do it anyway.
-                decoded = self._flush_decoder()
-                if decoded:  # Platform-specific: Jython.
-                    yield decoded
-
-            # Chunk content ends with \r\n: discard it.
-            while True:
-                line = self._fp.fp.readline()
-                if not line:
-                    # Some sites may not end with '\r\n'.
-                    break
-                if line == b"\r\n":
-                    break
-
-            # We read everything; close the "file".
-            if self._original_response:
-                self._original_response.close()
-
-    def geturl(self):
-        """
-        Returns the URL that was the source of this response.
-        If the request that generated this response redirected, this method
-        will return the final redirect location.
-        """
-        if self.retries is not None and len(self.retries.history):
-            return self.retries.history[-1].redirect_location
-        else:
-            return self._request_url
-
-    def __iter__(self):
-        buffer = []
-        for chunk in self.stream(decode_content=True):
-            if b"\n" in chunk:
-                chunk = chunk.split(b"\n")
-                yield b"".join(buffer) + chunk[0] + b"\n"
-                for x in chunk[1:-1]:
-                    yield x + b"\n"
-                if chunk[-1]:
-                    buffer = [chunk[-1]]
-                else:
-                    buffer = []
-            else:
-                buffer.append(chunk)
-        if buffer:
-            yield b"".join(buffer)

spaces/BilalSardar/Voice-Cloning/README.md

@@ -1,13 +0,0 @@
----
-title: Voice Cloning
-emoji: ⚡
-colorFrom: yellow
-colorTo: yellow
-sdk: gradio
-sdk_version: 3.11
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

spaces/CVPR/Example-Echocardiogram-Segmentation/README.md

@@ -1,45 +0,0 @@
----
-title: Echocardiogram Segmentation
-emoji: 🦀
-colorFrom: indigo
-colorTo: gray
-sdk: gradio
-app_file: app.py
-pinned: false
----
-
-# Configuration
-
-`title`: _string_
-Display title for the Space
-
-`emoji`: _string_
-Space emoji (emoji-only character allowed)
-
-`colorFrom`: _string_
-Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
-
-`colorTo`: _string_
-Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
-
-`sdk`: _string_
-Can be either `gradio`, `streamlit`, or `static`
-
-`sdk_version` : _string_
-Only applicable for `streamlit` SDK.  
-See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
-
-`app_file`: _string_
-Path to your main application file (which contains either `gradio` or `streamlit` Python code, or `static` html code).
-Path is relative to the root of the repository.
-
-`models`: _List[string]_
-HF model IDs (like "gpt2" or "deepset/roberta-base-squad2") used in the Space.
-Will be parsed automatically from your code if not specified here.
-
-`datasets`: _List[string]_
-HF dataset IDs (like "common_voice" or "oscar-corpus/OSCAR-2109") used in the Space.
-Will be parsed automatically from your code if not specified here.
-
-`pinned`: _boolean_
-Whether the Space stays on top of your list.

spaces/CVPR/WALT/mmdet/models/losses/gfocal_loss.py

@@ -1,188 +0,0 @@
-import mmcv
-import torch.nn as nn
-import torch.nn.functional as F
-
-from ..builder import LOSSES
-from .utils import weighted_loss
-
-
-@mmcv.jit(derivate=True, coderize=True)
-@weighted_loss
-def quality_focal_loss(pred, target, beta=2.0):
-    r"""Quality Focal Loss (QFL) is from `Generalized Focal Loss: Learning
-    Qualified and Distributed Bounding Boxes for Dense Object Detection
-    <https://arxiv.org/abs/2006.04388>`_.
-
-    Args:
-        pred (torch.Tensor): Predicted joint representation of classification
-            and quality (IoU) estimation with shape (N, C), C is the number of
-            classes.
-        target (tuple([torch.Tensor])): Target category label with shape (N,)
-            and target quality label with shape (N,).
-        beta (float): The beta parameter for calculating the modulating factor.
-            Defaults to 2.0.
-
-    Returns:
-        torch.Tensor: Loss tensor with shape (N,).
-    """
-    assert len(target) == 2, """target for QFL must be a tuple of two elements,
-        including category label and quality label, respectively"""
-    # label denotes the category id, score denotes the quality score
-    label, score = target
-
-    # negatives are supervised by 0 quality score
-    pred_sigmoid = pred.sigmoid()
-    scale_factor = pred_sigmoid
-    zerolabel = scale_factor.new_zeros(pred.shape)
-    loss = F.binary_cross_entropy_with_logits(
-        pred, zerolabel, reduction='none') * scale_factor.pow(beta)
-
-    # FG cat_id: [0, num_classes -1], BG cat_id: num_classes
-    bg_class_ind = pred.size(1)
-    pos = ((label >= 0) & (label < bg_class_ind)).nonzero().squeeze(1)
-    pos_label = label[pos].long()
-    # positives are supervised by bbox quality (IoU) score
-    scale_factor = score[pos] - pred_sigmoid[pos, pos_label]
-    loss[pos, pos_label] = F.binary_cross_entropy_with_logits(
-        pred[pos, pos_label], score[pos],
-        reduction='none') * scale_factor.abs().pow(beta)
-
-    loss = loss.sum(dim=1, keepdim=False)
-    return loss
-
-
-@mmcv.jit(derivate=True, coderize=True)
-@weighted_loss
-def distribution_focal_loss(pred, label):
-    r"""Distribution Focal Loss (DFL) is from `Generalized Focal Loss: Learning
-    Qualified and Distributed Bounding Boxes for Dense Object Detection
-    <https://arxiv.org/abs/2006.04388>`_.
-
-    Args:
-        pred (torch.Tensor): Predicted general distribution of bounding boxes
-            (before softmax) with shape (N, n+1), n is the max value of the
-            integral set `{0, ..., n}` in paper.
-        label (torch.Tensor): Target distance label for bounding boxes with
-            shape (N,).
-
-    Returns:
-        torch.Tensor: Loss tensor with shape (N,).
-    """
-    dis_left = label.long()
-    dis_right = dis_left + 1
-    weight_left = dis_right.float() - label
-    weight_right = label - dis_left.float()
-    loss = F.cross_entropy(pred, dis_left, reduction='none') * weight_left \
-        + F.cross_entropy(pred, dis_right, reduction='none') * weight_right
-    return loss
-
-
-@LOSSES.register_module()
-class QualityFocalLoss(nn.Module):
-    r"""Quality Focal Loss (QFL) is a variant of `Generalized Focal Loss:
-    Learning Qualified and Distributed Bounding Boxes for Dense Object
-    Detection <https://arxiv.org/abs/2006.04388>`_.
-
-    Args:
-        use_sigmoid (bool): Whether sigmoid operation is conducted in QFL.
-            Defaults to True.
-        beta (float): The beta parameter for calculating the modulating factor.
-            Defaults to 2.0.
-        reduction (str): Options are "none", "mean" and "sum".
-        loss_weight (float): Loss weight of current loss.
-    """
-
-    def __init__(self,
-                 use_sigmoid=True,
-                 beta=2.0,
-                 reduction='mean',
-                 loss_weight=1.0):
-        super(QualityFocalLoss, self).__init__()
-        assert use_sigmoid is True, 'Only sigmoid in QFL supported now.'
-        self.use_sigmoid = use_sigmoid
-        self.beta = beta
-        self.reduction = reduction
-        self.loss_weight = loss_weight
-
-    def forward(self,
-                pred,
-                target,
-                weight=None,
-                avg_factor=None,
-                reduction_override=None):
-        """Forward function.
-
-        Args:
-            pred (torch.Tensor): Predicted joint representation of
-                classification and quality (IoU) estimation with shape (N, C),
-                C is the number of classes.
-            target (tuple([torch.Tensor])): Target category label with shape
-                (N,) and target quality label with shape (N,).
-            weight (torch.Tensor, optional): The weight of loss for each
-                prediction. Defaults to None.
-            avg_factor (int, optional): Average factor that is used to average
-                the loss. Defaults to None.
-            reduction_override (str, optional): The reduction method used to
-                override the original reduction method of the loss.
-                Defaults to None.
-        """
-        assert reduction_override in (None, 'none', 'mean', 'sum')
-        reduction = (
-            reduction_override if reduction_override else self.reduction)
-        if self.use_sigmoid:
-            loss_cls = self.loss_weight * quality_focal_loss(
-                pred,
-                target,
-                weight,
-                beta=self.beta,
-                reduction=reduction,
-                avg_factor=avg_factor)
-        else:
-            raise NotImplementedError
-        return loss_cls
-
-
-@LOSSES.register_module()
-class DistributionFocalLoss(nn.Module):
-    r"""Distribution Focal Loss (DFL) is a variant of `Generalized Focal Loss:
-    Learning Qualified and Distributed Bounding Boxes for Dense Object
-    Detection <https://arxiv.org/abs/2006.04388>`_.
-
-    Args:
-        reduction (str): Options are `'none'`, `'mean'` and `'sum'`.
-        loss_weight (float): Loss weight of current loss.
-    """
-
-    def __init__(self, reduction='mean', loss_weight=1.0):
-        super(DistributionFocalLoss, self).__init__()
-        self.reduction = reduction
-        self.loss_weight = loss_weight
-
-    def forward(self,
-                pred,
-                target,
-                weight=None,
-                avg_factor=None,
-                reduction_override=None):
-        """Forward function.
-
-        Args:
-            pred (torch.Tensor): Predicted general distribution of bounding
-                boxes (before softmax) with shape (N, n+1), n is the max value
-                of the integral set `{0, ..., n}` in paper.
-            target (torch.Tensor): Target distance label for bounding boxes
-                with shape (N,).
-            weight (torch.Tensor, optional): The weight of loss for each
-                prediction. Defaults to None.
-            avg_factor (int, optional): Average factor that is used to average
-                the loss. Defaults to None.
-            reduction_override (str, optional): The reduction method used to
-                override the original reduction method of the loss.
-                Defaults to None.
-        """
-        assert reduction_override in (None, 'none', 'mean', 'sum')
-        reduction = (
-            reduction_override if reduction_override else self.reduction)
-        loss_cls = self.loss_weight * distribution_focal_loss(
-            pred, target, weight, reduction=reduction, avg_factor=avg_factor)
-        return loss_cls

spaces/CVPR/lama-example/fetch_data/eval_sampler.py

@@ -1,21 +0,0 @@
-import os
-import random
-
-
-val_files_path = os.path.abspath('.') + '/places_standard_dataset/original/val/'
-val_files      = [val_files_path + image for image in os.listdir(val_files_path)]
-
-print(f'found {len(val_files)} images in {val_files_path}')
-
-random.shuffle(val_files)
-val_files_random = val_files[0:2000]
-
-list_of_random_val_files = os.path.abspath('.') \
-+ '/places_standard_dataset/original/eval_random_files.txt'
-
-print(f'copying 2000 random images to {list_of_random_val_files}')
-with open(list_of_random_val_files, 'w') as fw:
-    for filename in val_files_random:
-        fw.write(filename+'\n')
-print('...done')      
-